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/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Yakov Pechersky
-/
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Zip
import Mathlib.Data.Nat.Defs
import Mathlib.Data.List.Infix
#align_import data.list.rotate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
/-!
# List rotation
This file proves basic results about `List.rotate`, the list rotation.
## Main declarations
* `List.IsRotated l₁ l₂`: States that `l₁` is a rotated version of `l₂`.
* `List.cyclicPermutations l`: The list of all cyclic permutants of `l`, up to the length of `l`.
## Tags
rotated, rotation, permutation, cycle
-/
universe u
variable {α : Type u}
open Nat Function
namespace List
theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by simp [rotate]
#align list.rotate_mod List.rotate_mod
@[simp]
theorem rotate_nil (n : ℕ) : ([] : List α).rotate n = [] := by simp [rotate]
#align list.rotate_nil List.rotate_nil
@[simp]
theorem rotate_zero (l : List α) : l.rotate 0 = l := by simp [rotate]
#align list.rotate_zero List.rotate_zero
-- Porting note: removing simp, simp can prove it
theorem rotate'_nil (n : ℕ) : ([] : List α).rotate' n = [] := by cases n <;> rfl
#align list.rotate'_nil List.rotate'_nil
@[simp]
theorem rotate'_zero (l : List α) : l.rotate' 0 = l := by cases l <;> rfl
#align list.rotate'_zero List.rotate'_zero
theorem rotate'_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate' n.succ = (l ++ [a]).rotate' n := by simp [rotate']
#align list.rotate'_cons_succ List.rotate'_cons_succ
@[simp]
theorem length_rotate' : ∀ (l : List α) (n : ℕ), (l.rotate' n).length = l.length
| [], _ => by simp
| a :: l, 0 => rfl
| a :: l, n + 1 => by rw [List.rotate', length_rotate' (l ++ [a]) n]; simp
#align list.length_rotate' List.length_rotate'
theorem rotate'_eq_drop_append_take :
∀ {l : List α} {n : ℕ}, n ≤ l.length → l.rotate' n = l.drop n ++ l.take n
| [], n, h => by simp [drop_append_of_le_length h]
| l, 0, h => by simp [take_append_of_le_length h]
| a :: l, n + 1, h => by
have hnl : n ≤ l.length := le_of_succ_le_succ h
have hnl' : n ≤ (l ++ [a]).length := by
rw [length_append, length_cons, List.length]; exact le_of_succ_le h
rw [rotate'_cons_succ, rotate'_eq_drop_append_take hnl', drop, take,
drop_append_of_le_length hnl, take_append_of_le_length hnl]; simp
#align list.rotate'_eq_drop_append_take List.rotate'_eq_drop_append_take
theorem rotate'_rotate' : ∀ (l : List α) (n m : ℕ), (l.rotate' n).rotate' m = l.rotate' (n + m)
| a :: l, 0, m => by simp
| [], n, m => by simp
| a :: l, n + 1, m => by
rw [rotate'_cons_succ, rotate'_rotate' _ n, Nat.add_right_comm, ← rotate'_cons_succ,
Nat.succ_eq_add_one]
#align list.rotate'_rotate' List.rotate'_rotate'
@[simp]
theorem rotate'_length (l : List α) : rotate' l l.length = l := by
rw [rotate'_eq_drop_append_take le_rfl]; simp
#align list.rotate'_length List.rotate'_length
@[simp]
theorem rotate'_length_mul (l : List α) : ∀ n : ℕ, l.rotate' (l.length * n) = l
| 0 => by simp
| n + 1 =>
calc
l.rotate' (l.length * (n + 1)) =
(l.rotate' (l.length * n)).rotate' (l.rotate' (l.length * n)).length := by
simp [-rotate'_length, Nat.mul_succ, rotate'_rotate']
_ = l := by rw [rotate'_length, rotate'_length_mul l n]
#align list.rotate'_length_mul List.rotate'_length_mul
theorem rotate'_mod (l : List α) (n : ℕ) : l.rotate' (n % l.length) = l.rotate' n :=
calc
l.rotate' (n % l.length) =
(l.rotate' (n % l.length)).rotate' ((l.rotate' (n % l.length)).length * (n / l.length)) :=
by rw [rotate'_length_mul]
_ = l.rotate' n := by rw [rotate'_rotate', length_rotate', Nat.mod_add_div]
#align list.rotate'_mod List.rotate'_mod
theorem rotate_eq_rotate' (l : List α) (n : ℕ) : l.rotate n = l.rotate' n :=
if h : l.length = 0 then by simp_all [length_eq_zero]
else by
rw [← rotate'_mod,
rotate'_eq_drop_append_take (le_of_lt (Nat.mod_lt _ (Nat.pos_of_ne_zero h)))];
simp [rotate]
#align list.rotate_eq_rotate' List.rotate_eq_rotate'
theorem rotate_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate (n + 1) = (l ++ [a]).rotate n := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate'_cons_succ]
#align list.rotate_cons_succ List.rotate_cons_succ
@[simp]
theorem mem_rotate : ∀ {l : List α} {a : α} {n : ℕ}, a ∈ l.rotate n ↔ a ∈ l
| [], _, n => by simp
| a :: l, _, 0 => by simp
| a :: l, _, n + 1 => by simp [rotate_cons_succ, mem_rotate, or_comm]
#align list.mem_rotate List.mem_rotate
@[simp]
theorem length_rotate (l : List α) (n : ℕ) : (l.rotate n).length = l.length := by
rw [rotate_eq_rotate', length_rotate']
#align list.length_rotate List.length_rotate
@[simp]
theorem rotate_replicate (a : α) (n : ℕ) (k : ℕ) : (replicate n a).rotate k = replicate n a :=
eq_replicate.2 ⟨by rw [length_rotate, length_replicate], fun b hb =>
eq_of_mem_replicate <| mem_rotate.1 hb⟩
#align list.rotate_replicate List.rotate_replicate
theorem rotate_eq_drop_append_take {l : List α} {n : ℕ} :
n ≤ l.length → l.rotate n = l.drop n ++ l.take n := by
rw [rotate_eq_rotate']; exact rotate'_eq_drop_append_take
#align list.rotate_eq_drop_append_take List.rotate_eq_drop_append_take
theorem rotate_eq_drop_append_take_mod {l : List α} {n : ℕ} :
l.rotate n = l.drop (n % l.length) ++ l.take (n % l.length) := by
rcases l.length.zero_le.eq_or_lt with hl | hl
· simp [eq_nil_of_length_eq_zero hl.symm]
rw [← rotate_eq_drop_append_take (n.mod_lt hl).le, rotate_mod]
#align list.rotate_eq_drop_append_take_mod List.rotate_eq_drop_append_take_mod
@[simp]
theorem rotate_append_length_eq (l l' : List α) : (l ++ l').rotate l.length = l' ++ l := by
rw [rotate_eq_rotate']
induction l generalizing l'
· simp
· simp_all [rotate']
#align list.rotate_append_length_eq List.rotate_append_length_eq
theorem rotate_rotate (l : List α) (n m : ℕ) : (l.rotate n).rotate m = l.rotate (n + m) := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate_eq_rotate', rotate'_rotate']
#align list.rotate_rotate List.rotate_rotate
@[simp]
theorem rotate_length (l : List α) : rotate l l.length = l := by
rw [rotate_eq_rotate', rotate'_length]
#align list.rotate_length List.rotate_length
@[simp]
theorem rotate_length_mul (l : List α) (n : ℕ) : l.rotate (l.length * n) = l := by
rw [rotate_eq_rotate', rotate'_length_mul]
#align list.rotate_length_mul List.rotate_length_mul
theorem rotate_perm (l : List α) (n : ℕ) : l.rotate n ~ l := by
rw [rotate_eq_rotate']
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· rw [rotate'_cons_succ]
exact (hn _).trans (perm_append_singleton _ _)
#align list.rotate_perm List.rotate_perm
@[simp]
theorem nodup_rotate {l : List α} {n : ℕ} : Nodup (l.rotate n) ↔ Nodup l :=
(rotate_perm l n).nodup_iff
#align list.nodup_rotate List.nodup_rotate
@[simp]
theorem rotate_eq_nil_iff {l : List α} {n : ℕ} : l.rotate n = [] ↔ l = [] := by
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· simp [rotate_cons_succ, hn]
#align list.rotate_eq_nil_iff List.rotate_eq_nil_iff
@[simp]
theorem nil_eq_rotate_iff {l : List α} {n : ℕ} : [] = l.rotate n ↔ [] = l := by
rw [eq_comm, rotate_eq_nil_iff, eq_comm]
#align list.nil_eq_rotate_iff List.nil_eq_rotate_iff
@[simp]
theorem rotate_singleton (x : α) (n : ℕ) : [x].rotate n = [x] :=
rotate_replicate x 1 n
#align list.rotate_singleton List.rotate_singleton
theorem zipWith_rotate_distrib {β γ : Type*} (f : α → β → γ) (l : List α) (l' : List β) (n : ℕ)
(h : l.length = l'.length) :
(zipWith f l l').rotate n = zipWith f (l.rotate n) (l'.rotate n) := by
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod,
rotate_eq_drop_append_take_mod, h, zipWith_append, ← zipWith_distrib_drop, ←
zipWith_distrib_take, List.length_zipWith, h, min_self]
rw [length_drop, length_drop, h]
#align list.zip_with_rotate_distrib List.zipWith_rotate_distrib
attribute [local simp] rotate_cons_succ
-- Porting note: removing @[simp], simp can prove it
theorem zipWith_rotate_one {β : Type*} (f : α → α → β) (x y : α) (l : List α) :
zipWith f (x :: y :: l) ((x :: y :: l).rotate 1) = f x y :: zipWith f (y :: l) (l ++ [x]) := by
simp
#align list.zip_with_rotate_one List.zipWith_rotate_one
theorem get?_rotate {l : List α} {n m : ℕ} (hml : m < l.length) :
(l.rotate n).get? m = l.get? ((m + n) % l.length) := by
rw [rotate_eq_drop_append_take_mod]
rcases lt_or_le m (l.drop (n % l.length)).length with hm | hm
· rw [get?_append hm, get?_drop, ← add_mod_mod]
rw [length_drop, Nat.lt_sub_iff_add_lt] at hm
rw [mod_eq_of_lt hm, Nat.add_comm]
· have hlt : n % length l < length l := mod_lt _ (m.zero_le.trans_lt hml)
rw [get?_append_right hm, get?_take, length_drop]
· congr 1
rw [length_drop] at hm
have hm' := Nat.sub_le_iff_le_add'.1 hm
have : n % length l + m - length l < length l := by
rw [Nat.sub_lt_iff_lt_add' hm']
exact Nat.add_lt_add hlt hml
conv_rhs => rw [Nat.add_comm m, ← mod_add_mod, mod_eq_sub_mod hm', mod_eq_of_lt this]
rw [← Nat.add_right_inj, ← Nat.add_sub_assoc, Nat.add_sub_sub_cancel, Nat.add_sub_cancel',
Nat.add_comm]
exacts [hm', hlt.le, hm]
· rwa [Nat.sub_lt_iff_lt_add hm, length_drop, Nat.sub_add_cancel hlt.le]
#align list.nth_rotate List.get?_rotate
-- Porting note (#10756): new lemma
theorem get_rotate (l : List α) (n : ℕ) (k : Fin (l.rotate n).length) :
(l.rotate n).get k =
l.get ⟨(k + n) % l.length, mod_lt _ (length_rotate l n ▸ k.1.zero_le.trans_lt k.2)⟩ := by
rw [← Option.some_inj, ← get?_eq_get, ← get?_eq_get, get?_rotate]
exact k.2.trans_eq (length_rotate _ _)
theorem head?_rotate {l : List α} {n : ℕ} (h : n < l.length) : head? (l.rotate n) = l.get? n := by
rw [← get?_zero, get?_rotate (n.zero_le.trans_lt h), Nat.zero_add, Nat.mod_eq_of_lt h]
#align list.head'_rotate List.head?_rotate
-- Porting note: moved down from its original location below `get_rotate` so that the
-- non-deprecated lemma does not use the deprecated version
set_option linter.deprecated false in
@[deprecated get_rotate (since := "2023-01-13")]
theorem nthLe_rotate (l : List α) (n k : ℕ) (hk : k < (l.rotate n).length) :
(l.rotate n).nthLe k hk =
l.nthLe ((k + n) % l.length) (mod_lt _ (length_rotate l n ▸ k.zero_le.trans_lt hk)) :=
get_rotate l n ⟨k, hk⟩
#align list.nth_le_rotate List.nthLe_rotate
set_option linter.deprecated false in
theorem nthLe_rotate_one (l : List α) (k : ℕ) (hk : k < (l.rotate 1).length) :
(l.rotate 1).nthLe k hk =
l.nthLe ((k + 1) % l.length) (mod_lt _ (length_rotate l 1 ▸ k.zero_le.trans_lt hk)) :=
nthLe_rotate l 1 k hk
#align list.nth_le_rotate_one List.nthLe_rotate_one
-- Porting note (#10756): new lemma
/-- A version of `List.get_rotate` that represents `List.get l` in terms of
`List.get (List.rotate l n)`, not vice versa. Can be used instead of rewriting `List.get_rotate`
from right to left. -/
theorem get_eq_get_rotate (l : List α) (n : ℕ) (k : Fin l.length) :
l.get k = (l.rotate n).get ⟨(l.length - n % l.length + k) % l.length,
(Nat.mod_lt _ (k.1.zero_le.trans_lt k.2)).trans_eq (length_rotate _ _).symm⟩ := by
rw [get_rotate]
refine congr_arg l.get (Fin.eq_of_val_eq ?_)
simp only [mod_add_mod]
rw [← add_mod_mod, Nat.add_right_comm, Nat.sub_add_cancel, add_mod_left, mod_eq_of_lt]
exacts [k.2, (mod_lt _ (k.1.zero_le.trans_lt k.2)).le]
set_option linter.deprecated false in
/-- A variant of `List.nthLe_rotate` useful for rewrites from right to left. -/
@[deprecated get_eq_get_rotate]
theorem nthLe_rotate' (l : List α) (n k : ℕ) (hk : k < l.length) :
(l.rotate n).nthLe ((l.length - n % l.length + k) % l.length)
((Nat.mod_lt _ (k.zero_le.trans_lt hk)).trans_le (length_rotate _ _).ge) =
l.nthLe k hk :=
(get_eq_get_rotate l n ⟨k, hk⟩).symm
#align list.nth_le_rotate' List.nthLe_rotate'
theorem rotate_eq_self_iff_eq_replicate [hα : Nonempty α] :
∀ {l : List α}, (∀ n, l.rotate n = l) ↔ ∃ a, l = replicate l.length a
| [] => by simp
| a :: l => ⟨fun h => ⟨a, ext_get (length_replicate _ _).symm fun n h₁ h₂ => by
rw [get_replicate, ← Option.some_inj, ← get?_eq_get, ← head?_rotate h₁, h, head?_cons]⟩,
fun ⟨b, hb⟩ n => by rw [hb, rotate_replicate]⟩
#align list.rotate_eq_self_iff_eq_replicate List.rotate_eq_self_iff_eq_replicate
theorem rotate_one_eq_self_iff_eq_replicate [Nonempty α] {l : List α} :
l.rotate 1 = l ↔ ∃ a : α, l = List.replicate l.length a :=
⟨fun h =>
rotate_eq_self_iff_eq_replicate.mp fun n =>
Nat.rec l.rotate_zero (fun n hn => by rwa [Nat.succ_eq_add_one, ← l.rotate_rotate, hn]) n,
fun h => rotate_eq_self_iff_eq_replicate.mpr h 1⟩
#align list.rotate_one_eq_self_iff_eq_replicate List.rotate_one_eq_self_iff_eq_replicate
theorem rotate_injective (n : ℕ) : Function.Injective fun l : List α => l.rotate n := by
rintro l l' (h : l.rotate n = l'.rotate n)
have hle : l.length = l'.length := (l.length_rotate n).symm.trans (h.symm ▸ l'.length_rotate n)
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod] at h
obtain ⟨hd, ht⟩ := append_inj h (by simp_all)
rw [← take_append_drop _ l, ht, hd, take_append_drop]
#align list.rotate_injective List.rotate_injective
@[simp]
theorem rotate_eq_rotate {l l' : List α} {n : ℕ} : l.rotate n = l'.rotate n ↔ l = l' :=
(rotate_injective n).eq_iff
#align list.rotate_eq_rotate List.rotate_eq_rotate
theorem rotate_eq_iff {l l' : List α} {n : ℕ} :
l.rotate n = l' ↔ l = l'.rotate (l'.length - n % l'.length) := by
rw [← @rotate_eq_rotate _ l _ n, rotate_rotate, ← rotate_mod l', add_mod]
rcases l'.length.zero_le.eq_or_lt with hl | hl
· rw [eq_nil_of_length_eq_zero hl.symm, rotate_nil]
· rcases (Nat.zero_le (n % l'.length)).eq_or_lt with hn | hn
· simp [← hn]
· rw [mod_eq_of_lt (Nat.sub_lt hl hn), Nat.sub_add_cancel, mod_self, rotate_zero]
exact (Nat.mod_lt _ hl).le
#align list.rotate_eq_iff List.rotate_eq_iff
@[simp]
theorem rotate_eq_singleton_iff {l : List α} {n : ℕ} {x : α} : l.rotate n = [x] ↔ l = [x] := by
rw [rotate_eq_iff, rotate_singleton]
#align list.rotate_eq_singleton_iff List.rotate_eq_singleton_iff
@[simp]
theorem singleton_eq_rotate_iff {l : List α} {n : ℕ} {x : α} : [x] = l.rotate n ↔ [x] = l := by
rw [eq_comm, rotate_eq_singleton_iff, eq_comm]
#align list.singleton_eq_rotate_iff List.singleton_eq_rotate_iff
theorem reverse_rotate (l : List α) (n : ℕ) :
(l.rotate n).reverse = l.reverse.rotate (l.length - n % l.length) := by
rw [← length_reverse l, ← rotate_eq_iff]
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· rw [rotate_cons_succ, ← rotate_rotate, hn]
simp
#align list.reverse_rotate List.reverse_rotate
theorem rotate_reverse (l : List α) (n : ℕ) :
l.reverse.rotate n = (l.rotate (l.length - n % l.length)).reverse := by
rw [← reverse_reverse l]
simp_rw [reverse_rotate, reverse_reverse, rotate_eq_iff, rotate_rotate, length_rotate,
length_reverse]
rw [← length_reverse l]
let k := n % l.reverse.length
cases' hk' : k with k'
· simp_all! [k, length_reverse, ← rotate_rotate]
· cases' l with x l
· simp
· rw [Nat.mod_eq_of_lt, Nat.sub_add_cancel, rotate_length]
· exact Nat.sub_le _ _
· exact Nat.sub_lt (by simp) (by simp_all! [k])
#align list.rotate_reverse List.rotate_reverse
theorem map_rotate {β : Type*} (f : α → β) (l : List α) (n : ℕ) :
map f (l.rotate n) = (map f l).rotate n := by
induction' n with n hn IH generalizing l
· simp
· cases' l with hd tl
· simp
· simp [hn]
#align list.map_rotate List.map_rotate
theorem Nodup.rotate_congr {l : List α} (hl : l.Nodup) (hn : l ≠ []) (i j : ℕ)
(h : l.rotate i = l.rotate j) : i % l.length = j % l.length := by
rw [← rotate_mod l i, ← rotate_mod l j] at h
simpa only [head?_rotate, mod_lt, length_pos_of_ne_nil hn, get?_eq_get, Option.some_inj,
hl.get_inj_iff, Fin.ext_iff] using congr_arg head? h
#align list.nodup.rotate_congr List.Nodup.rotate_congr
theorem Nodup.rotate_congr_iff {l : List α} (hl : l.Nodup) {i j : ℕ} :
l.rotate i = l.rotate j ↔ i % l.length = j % l.length ∨ l = [] := by
rcases eq_or_ne l [] with rfl | hn
· simp
· simp only [hn, or_false]
refine ⟨hl.rotate_congr hn _ _, fun h ↦ ?_⟩
rw [← rotate_mod, h, rotate_mod]
theorem Nodup.rotate_eq_self_iff {l : List α} (hl : l.Nodup) {n : ℕ} :
l.rotate n = l ↔ n % l.length = 0 ∨ l = [] := by
rw [← zero_mod, ← hl.rotate_congr_iff, rotate_zero]
#align list.nodup.rotate_eq_self_iff List.Nodup.rotate_eq_self_iff
section IsRotated
variable (l l' : List α)
/-- `IsRotated l₁ l₂` or `l₁ ~r l₂` asserts that `l₁` and `l₂` are cyclic permutations
of each other. This is defined by claiming that `∃ n, l.rotate n = l'`. -/
def IsRotated : Prop :=
∃ n, l.rotate n = l'
#align list.is_rotated List.IsRotated
@[inherit_doc List.IsRotated]
infixr:1000 " ~r " => IsRotated
variable {l l'}
@[refl]
theorem IsRotated.refl (l : List α) : l ~r l :=
⟨0, by simp⟩
#align list.is_rotated.refl List.IsRotated.refl
@[symm]
theorem IsRotated.symm (h : l ~r l') : l' ~r l := by
obtain ⟨n, rfl⟩ := h
cases' l with hd tl
· exists 0
· use (hd :: tl).length * n - n
rw [rotate_rotate, Nat.add_sub_cancel', rotate_length_mul]
exact Nat.le_mul_of_pos_left _ (by simp)
#align list.is_rotated.symm List.IsRotated.symm
theorem isRotated_comm : l ~r l' ↔ l' ~r l :=
⟨IsRotated.symm, IsRotated.symm⟩
#align list.is_rotated_comm List.isRotated_comm
@[simp]
protected theorem IsRotated.forall (l : List α) (n : ℕ) : l.rotate n ~r l :=
IsRotated.symm ⟨n, rfl⟩
#align list.is_rotated.forall List.IsRotated.forall
@[trans]
theorem IsRotated.trans : ∀ {l l' l'' : List α}, l ~r l' → l' ~r l'' → l ~r l''
| _, _, _, ⟨n, rfl⟩, ⟨m, rfl⟩ => ⟨n + m, by rw [rotate_rotate]⟩
#align list.is_rotated.trans List.IsRotated.trans
theorem IsRotated.eqv : Equivalence (@IsRotated α) :=
Equivalence.mk IsRotated.refl IsRotated.symm IsRotated.trans
#align list.is_rotated.eqv List.IsRotated.eqv
/-- The relation `List.IsRotated l l'` forms a `Setoid` of cycles. -/
def IsRotated.setoid (α : Type*) : Setoid (List α) where
r := IsRotated
iseqv := IsRotated.eqv
#align list.is_rotated.setoid List.IsRotated.setoid
theorem IsRotated.perm (h : l ~r l') : l ~ l' :=
Exists.elim h fun _ hl => hl ▸ (rotate_perm _ _).symm
#align list.is_rotated.perm List.IsRotated.perm
theorem IsRotated.nodup_iff (h : l ~r l') : Nodup l ↔ Nodup l' :=
h.perm.nodup_iff
#align list.is_rotated.nodup_iff List.IsRotated.nodup_iff
theorem IsRotated.mem_iff (h : l ~r l') {a : α} : a ∈ l ↔ a ∈ l' :=
h.perm.mem_iff
#align list.is_rotated.mem_iff List.IsRotated.mem_iff
@[simp]
theorem isRotated_nil_iff : l ~r [] ↔ l = [] :=
⟨fun ⟨n, hn⟩ => by simpa using hn, fun h => h ▸ by rfl⟩
#align list.is_rotated_nil_iff List.isRotated_nil_iff
@[simp]
| Mathlib/Data/List/Rotate.lean | 478 | 479 | theorem isRotated_nil_iff' : [] ~r l ↔ [] = l := by |
rw [isRotated_comm, isRotated_nil_iff, eq_comm]
|
/-
Copyright (c) 2021 David Wärn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Wärn, Joachim Breitner
-/
import Mathlib.Algebra.FreeMonoid.Basic
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.GroupTheory.Congruence.Basic
import Mathlib.GroupTheory.FreeGroup.IsFreeGroup
import Mathlib.Data.List.Chain
import Mathlib.SetTheory.Cardinal.Basic
import Mathlib.Data.Set.Pointwise.SMul
#align_import group_theory.free_product from "leanprover-community/mathlib"@"9114ddffa023340c9ec86965e00cdd6fe26fcdf6"
/-!
# The coproduct (a.k.a. the free product) of groups or monoids
Given an `ι`-indexed family `M` of monoids,
we define their coproduct (a.k.a. free product) `Monoid.CoprodI M`.
As usual, we use the suffix `I` for an indexed (co)product,
leaving `Coprod` for the coproduct of two monoids.
When `ι` and all `M i` have decidable equality,
the free product bijects with the type `Monoid.CoprodI.Word M` of reduced words.
This bijection is constructed
by defining an action of `Monoid.CoprodI M` on `Monoid.CoprodI.Word M`.
When `M i` are all groups, `Monoid.CoprodI M` is also a group
(and the coproduct in the category of groups).
## Main definitions
- `Monoid.CoprodI M`: the free product, defined as a quotient of a free monoid.
- `Monoid.CoprodI.of {i} : M i →* Monoid.CoprodI M`.
- `Monoid.CoprodI.lift : (∀ {i}, M i →* N) ≃ (Monoid.CoprodI M →* N)`: the universal property.
- `Monoid.CoprodI.Word M`: the type of reduced words.
- `Monoid.CoprodI.Word.equiv M : Monoid.CoprodI M ≃ word M`.
- `Monoid.CoprodI.NeWord M i j`: an inductive description of non-empty words
with first letter from `M i` and last letter from `M j`,
together with an API (`singleton`, `append`, `head`, `tail`, `to_word`, `Prod`, `inv`).
Used in the proof of the Ping-Pong-lemma.
- `Monoid.CoprodI.lift_injective_of_ping_pong`: The Ping-Pong-lemma,
proving injectivity of the `lift`. See the documentation of that theorem for more information.
## Remarks
There are many answers to the question "what is the coproduct of a family `M` of monoids?",
and they are all equivalent but not obviously equivalent.
We provide two answers.
The first, almost tautological answer is given by `Monoid.CoprodI M`,
which is a quotient of the type of words in the alphabet `Σ i, M i`.
It's straightforward to define and easy to prove its universal property.
But this answer is not completely satisfactory,
because it's difficult to tell when two elements `x y : Monoid.CoprodI M` are distinct
since `Monoid.CoprodI M` is defined as a quotient.
The second, maximally efficient answer is given by `Monoid.CoprodI.Word M`.
An element of `Monoid.CoprodI.Word M` is a word in the alphabet `Σ i, M i`,
where the letter `⟨i, 1⟩` doesn't occur and no adjacent letters share an index `i`.
Since we only work with reduced words, there is no need for quotienting,
and it is easy to tell when two elements are distinct.
However it's not obvious that this is even a monoid!
We prove that every element of `Monoid.CoprodI M` can be represented by a unique reduced word,
i.e. `Monoid.CoprodI M` and `Monoid.CoprodI.Word M` are equivalent types.
This means that `Monoid.CoprodI.Word M` can be given a monoid structure,
and it lets us tell when two elements of `Monoid.CoprodI M` are distinct.
There is also a completely tautological, maximally inefficient answer
given by `MonCat.Colimits.ColimitType`.
Whereas `Monoid.CoprodI M` at least ensures that
(any instance of) associativity holds by reflexivity,
in this answer associativity holds because of quotienting.
Yet another answer, which is constructively more satisfying,
could be obtained by showing that `Monoid.CoprodI.Rel` is confluent.
## References
[van der Waerden, *Free products of groups*][MR25465]
-/
open Set
variable {ι : Type*} (M : ι → Type*) [∀ i, Monoid (M i)]
/-- A relation on the free monoid on alphabet `Σ i, M i`,
relating `⟨i, 1⟩` with `1` and `⟨i, x⟩ * ⟨i, y⟩` with `⟨i, x * y⟩`. -/
inductive Monoid.CoprodI.Rel : FreeMonoid (Σi, M i) → FreeMonoid (Σi, M i) → Prop
| of_one (i : ι) : Monoid.CoprodI.Rel (FreeMonoid.of ⟨i, 1⟩) 1
| of_mul {i : ι} (x y : M i) :
Monoid.CoprodI.Rel (FreeMonoid.of ⟨i, x⟩ * FreeMonoid.of ⟨i, y⟩) (FreeMonoid.of ⟨i, x * y⟩)
#align free_product.rel Monoid.CoprodI.Rel
/-- The free product (categorical coproduct) of an indexed family of monoids. -/
def Monoid.CoprodI : Type _ := (conGen (Monoid.CoprodI.Rel M)).Quotient
#align free_product Monoid.CoprodI
-- Porting note: could not de derived
instance : Monoid (Monoid.CoprodI M) := by
delta Monoid.CoprodI; infer_instance
instance : Inhabited (Monoid.CoprodI M) :=
⟨1⟩
namespace Monoid.CoprodI
/-- The type of reduced words. A reduced word cannot contain a letter `1`, and no two adjacent
letters can come from the same summand. -/
@[ext]
structure Word where
/-- A `Word` is a `List (Σ i, M i)`, such that `1` is not in the list, and no
two adjacent letters are from the same summand -/
toList : List (Σi, M i)
/-- A reduced word does not contain `1` -/
ne_one : ∀ l ∈ toList, Sigma.snd l ≠ 1
/-- Adjacent letters are not from the same summand. -/
chain_ne : toList.Chain' fun l l' => Sigma.fst l ≠ Sigma.fst l'
#align free_product.word Monoid.CoprodI.Word
variable {M}
/-- The inclusion of a summand into the free product. -/
def of {i : ι} : M i →* CoprodI M where
toFun x := Con.mk' _ (FreeMonoid.of <| Sigma.mk i x)
map_one' := (Con.eq _).mpr (ConGen.Rel.of _ _ (CoprodI.Rel.of_one i))
map_mul' x y := Eq.symm <| (Con.eq _).mpr (ConGen.Rel.of _ _ (CoprodI.Rel.of_mul x y))
#align free_product.of Monoid.CoprodI.of
theorem of_apply {i} (m : M i) : of m = Con.mk' _ (FreeMonoid.of <| Sigma.mk i m) :=
rfl
#align free_product.of_apply Monoid.CoprodI.of_apply
variable {N : Type*} [Monoid N]
/-- See note [partially-applied ext lemmas]. -/
-- Porting note: higher `ext` priority
@[ext 1100]
theorem ext_hom (f g : CoprodI M →* N) (h : ∀ i, f.comp (of : M i →* _) = g.comp of) : f = g :=
(MonoidHom.cancel_right Con.mk'_surjective).mp <|
FreeMonoid.hom_eq fun ⟨i, x⟩ => by
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [MonoidHom.comp_apply, MonoidHom.comp_apply, ← of_apply, ← MonoidHom.comp_apply, ←
MonoidHom.comp_apply, h]; rfl
#align free_product.ext_hom Monoid.CoprodI.ext_hom
/-- A map out of the free product corresponds to a family of maps out of the summands. This is the
universal property of the free product, characterizing it as a categorical coproduct. -/
@[simps symm_apply]
def lift : (∀ i, M i →* N) ≃ (CoprodI M →* N) where
toFun fi :=
Con.lift _ (FreeMonoid.lift fun p : Σi, M i => fi p.fst p.snd) <|
Con.conGen_le <| by
simp_rw [Con.ker_rel]
rintro _ _ (i | ⟨x, y⟩)
· change FreeMonoid.lift _ (FreeMonoid.of _) = FreeMonoid.lift _ 1
simp only [MonoidHom.map_one, FreeMonoid.lift_eval_of]
· change
FreeMonoid.lift _ (FreeMonoid.of _ * FreeMonoid.of _) =
FreeMonoid.lift _ (FreeMonoid.of _)
simp only [MonoidHom.map_mul, FreeMonoid.lift_eval_of]
invFun f i := f.comp of
left_inv := by
intro fi
ext i x
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [MonoidHom.comp_apply, of_apply, Con.lift_mk', FreeMonoid.lift_eval_of]
right_inv := by
intro f
ext i x
rfl
#align free_product.lift Monoid.CoprodI.lift
@[simp]
theorem lift_comp_of {N} [Monoid N] (fi : ∀ i, M i →* N) i : (lift fi).comp of = fi i :=
congr_fun (lift.symm_apply_apply fi) i
@[simp]
theorem lift_of {N} [Monoid N] (fi : ∀ i, M i →* N) {i} (m : M i) : lift fi (of m) = fi i m :=
DFunLike.congr_fun (lift_comp_of ..) m
#align free_product.lift_of Monoid.CoprodI.lift_of
@[simp]
theorem lift_comp_of' {N} [Monoid N] (f : CoprodI M →* N) :
lift (fun i ↦ f.comp (of (i := i))) = f :=
lift.apply_symm_apply f
@[simp]
theorem lift_of' : lift (fun i ↦ (of : M i →* CoprodI M)) = .id (CoprodI M) :=
lift_comp_of' (.id _)
theorem of_leftInverse [DecidableEq ι] (i : ι) :
Function.LeftInverse (lift <| Pi.mulSingle i (MonoidHom.id (M i))) of := fun x => by
simp only [lift_of, Pi.mulSingle_eq_same, MonoidHom.id_apply]
#align free_product.of_left_inverse Monoid.CoprodI.of_leftInverse
theorem of_injective (i : ι) : Function.Injective (of : M i →* _) := by
classical exact (of_leftInverse i).injective
#align free_product.of_injective Monoid.CoprodI.of_injective
theorem mrange_eq_iSup {N} [Monoid N] (f : ∀ i, M i →* N) :
MonoidHom.mrange (lift f) = ⨆ i, MonoidHom.mrange (f i) := by
rw [lift, Equiv.coe_fn_mk, Con.lift_range, FreeMonoid.mrange_lift,
range_sigma_eq_iUnion_range, Submonoid.closure_iUnion]
simp only [MonoidHom.mclosure_range]
#align free_product.mrange_eq_supr Monoid.CoprodI.mrange_eq_iSup
theorem lift_mrange_le {N} [Monoid N] (f : ∀ i, M i →* N) {s : Submonoid N} :
MonoidHom.mrange (lift f) ≤ s ↔ ∀ i, MonoidHom.mrange (f i) ≤ s := by
simp [mrange_eq_iSup]
#align free_product.lift_mrange_le Monoid.CoprodI.lift_mrange_le
@[simp]
theorem iSup_mrange_of : ⨆ i, MonoidHom.mrange (of : M i →* CoprodI M) = ⊤ := by
simp [← mrange_eq_iSup]
@[simp]
theorem mclosure_iUnion_range_of :
Submonoid.closure (⋃ i, Set.range (of : M i →* CoprodI M)) = ⊤ := by
simp [Submonoid.closure_iUnion]
@[elab_as_elim]
theorem induction_left {C : CoprodI M → Prop} (m : CoprodI M) (one : C 1)
(mul : ∀ {i} (m : M i) x, C x → C (of m * x)) : C m := by
induction m using Submonoid.induction_of_closure_eq_top_left mclosure_iUnion_range_of with
| one => exact one
| mul x hx y ihy =>
obtain ⟨i, m, rfl⟩ : ∃ (i : ι) (m : M i), of m = x := by simpa using hx
exact mul m y ihy
@[elab_as_elim]
theorem induction_on {C : CoprodI M → Prop} (m : CoprodI M) (h_one : C 1)
(h_of : ∀ (i) (m : M i), C (of m)) (h_mul : ∀ x y, C x → C y → C (x * y)) : C m := by
induction m using CoprodI.induction_left with
| one => exact h_one
| mul m x hx => exact h_mul _ _ (h_of _ _) hx
#align free_product.induction_on Monoid.CoprodI.induction_on
section Group
variable (G : ι → Type*) [∀ i, Group (G i)]
instance : Inv (CoprodI G) where
inv :=
MulOpposite.unop ∘ lift fun i => (of : G i →* _).op.comp (MulEquiv.inv' (G i)).toMonoidHom
theorem inv_def (x : CoprodI G) :
x⁻¹ =
MulOpposite.unop
(lift (fun i => (of : G i →* _).op.comp (MulEquiv.inv' (G i)).toMonoidHom) x) :=
rfl
#align free_product.inv_def Monoid.CoprodI.inv_def
instance : Group (CoprodI G) :=
{ mul_left_inv := by
intro m
rw [inv_def]
induction m using CoprodI.induction_on with
| h_one => rw [MonoidHom.map_one, MulOpposite.unop_one, one_mul]
| h_of m ih =>
change of _⁻¹ * of _ = 1
rw [← of.map_mul, mul_left_inv, of.map_one]
| h_mul x y ihx ihy =>
rw [MonoidHom.map_mul, MulOpposite.unop_mul, mul_assoc, ← mul_assoc _ x y, ihx, one_mul,
ihy] }
theorem lift_range_le {N} [Group N] (f : ∀ i, G i →* N) {s : Subgroup N}
(h : ∀ i, (f i).range ≤ s) : (lift f).range ≤ s := by
rintro _ ⟨x, rfl⟩
induction' x using CoprodI.induction_on with i x x y hx hy
· exact s.one_mem
· simp only [lift_of, SetLike.mem_coe]
exact h i (Set.mem_range_self x)
· simp only [map_mul, SetLike.mem_coe]
exact s.mul_mem hx hy
#align free_product.lift_range_le Monoid.CoprodI.lift_range_le
theorem range_eq_iSup {N} [Group N] (f : ∀ i, G i →* N) : (lift f).range = ⨆ i, (f i).range := by
apply le_antisymm (lift_range_le _ f fun i => le_iSup (fun i => MonoidHom.range (f i)) i)
apply iSup_le _
rintro i _ ⟨x, rfl⟩
exact ⟨of x, by simp only [lift_of]⟩
#align free_product.range_eq_supr Monoid.CoprodI.range_eq_iSup
end Group
namespace Word
/-- The empty reduced word. -/
@[simps]
def empty : Word M where
toList := []
ne_one := by simp
chain_ne := List.chain'_nil
#align free_product.word.empty Monoid.CoprodI.Word.empty
instance : Inhabited (Word M) :=
⟨empty⟩
/-- A reduced word determines an element of the free product, given by multiplication. -/
def prod (w : Word M) : CoprodI M :=
List.prod (w.toList.map fun l => of l.snd)
#align free_product.word.prod Monoid.CoprodI.Word.prod
@[simp]
theorem prod_empty : prod (empty : Word M) = 1 :=
rfl
#align free_product.word.prod_empty Monoid.CoprodI.Word.prod_empty
/-- `fstIdx w` is `some i` if the first letter of `w` is `⟨i, m⟩` with `m : M i`. If `w` is empty
then it's `none`. -/
def fstIdx (w : Word M) : Option ι :=
w.toList.head?.map Sigma.fst
#align free_product.word.fst_idx Monoid.CoprodI.Word.fstIdx
theorem fstIdx_ne_iff {w : Word M} {i} :
fstIdx w ≠ some i ↔ ∀ l ∈ w.toList.head?, i ≠ Sigma.fst l :=
not_iff_not.mp <| by simp [fstIdx]
#align free_product.word.fst_idx_ne_iff Monoid.CoprodI.Word.fstIdx_ne_iff
variable (M)
/-- Given an index `i : ι`, `Pair M i` is the type of pairs `(head, tail)` where `head : M i` and
`tail : Word M`, subject to the constraint that first letter of `tail` can't be `⟨i, m⟩`.
By prepending `head` to `tail`, one obtains a new word. We'll show that any word can be uniquely
obtained in this way. -/
@[ext]
structure Pair (i : ι) where
/-- An element of `M i`, the first letter of the word. -/
head : M i
/-- The remaining letters of the word, excluding the first letter -/
tail : Word M
/-- The index first letter of tail of a `Pair M i` is not equal to `i` -/
fstIdx_ne : fstIdx tail ≠ some i
#align free_product.word.pair Monoid.CoprodI.Word.Pair
instance (i : ι) : Inhabited (Pair M i) :=
⟨⟨1, empty, by tauto⟩⟩
variable {M}
variable [∀ i, DecidableEq (M i)]
/-- Construct a new `Word` without any reduction. The underlying list of
`cons m w _ _` is `⟨_, m⟩::w` -/
@[simps]
def cons {i} (m : M i) (w : Word M) (hmw : w.fstIdx ≠ some i) (h1 : m ≠ 1) : Word M :=
{ toList := ⟨i, m⟩ :: w.toList,
ne_one := by
simp only [List.mem_cons]
rintro l (rfl | hl)
· exact h1
· exact w.ne_one l hl
chain_ne := w.chain_ne.cons' (fstIdx_ne_iff.mp hmw) }
/-- Given a pair `(head, tail)`, we can form a word by prepending `head` to `tail`, except if `head`
is `1 : M i` then we have to just return `Word` since we need the result to be reduced. -/
def rcons {i} (p : Pair M i) : Word M :=
if h : p.head = 1 then p.tail
else cons p.head p.tail p.fstIdx_ne h
#align free_product.word.rcons Monoid.CoprodI.Word.rcons
#noalign free_product.word.cons_eq_rcons
@[simp]
theorem prod_rcons {i} (p : Pair M i) : prod (rcons p) = of p.head * prod p.tail :=
if hm : p.head = 1 then by rw [rcons, dif_pos hm, hm, MonoidHom.map_one, one_mul]
else by rw [rcons, dif_neg hm, cons, prod, List.map_cons, List.prod_cons, prod]
#align free_product.word.prod_rcons Monoid.CoprodI.Word.prod_rcons
theorem rcons_inj {i} : Function.Injective (rcons : Pair M i → Word M) := by
rintro ⟨m, w, h⟩ ⟨m', w', h'⟩ he
by_cases hm : m = 1 <;> by_cases hm' : m' = 1
· simp only [rcons, dif_pos hm, dif_pos hm'] at he
aesop
· exfalso
simp only [rcons, dif_pos hm, dif_neg hm'] at he
rw [he] at h
exact h rfl
· exfalso
simp only [rcons, dif_pos hm', dif_neg hm] at he
rw [← he] at h'
exact h' rfl
· have : m = m' ∧ w.toList = w'.toList := by
simpa [cons, rcons, dif_neg hm, dif_neg hm', true_and_iff, eq_self_iff_true, Subtype.mk_eq_mk,
heq_iff_eq, ← Subtype.ext_iff_val] using he
rcases this with ⟨rfl, h⟩
congr
exact Word.ext _ _ h
#align free_product.word.rcons_inj Monoid.CoprodI.Word.rcons_inj
theorem mem_rcons_iff {i j : ι} (p : Pair M i) (m : M j) :
⟨_, m⟩ ∈ (rcons p).toList ↔ ⟨_, m⟩ ∈ p.tail.toList ∨
m ≠ 1 ∧ (∃ h : i = j, m = h ▸ p.head) := by
simp only [rcons, cons, ne_eq]
by_cases hij : i = j
· subst i
by_cases hm : m = p.head
· subst m
split_ifs <;> simp_all
· split_ifs <;> simp_all
· split_ifs <;> simp_all [Ne.symm hij]
@[simp]
theorem fstIdx_cons {i} (m : M i) (w : Word M) (hmw : w.fstIdx ≠ some i) (h1 : m ≠ 1) :
fstIdx (cons m w hmw h1) = some i := by simp [cons, fstIdx]
@[simp]
theorem prod_cons (i) (m : M i) (w : Word M) (h1 : m ≠ 1) (h2 : w.fstIdx ≠ some i) :
prod (cons m w h2 h1) = of m * prod w := by
simp [cons, prod, List.map_cons, List.prod_cons]
/-- Induct on a word by adding letters one at a time without reduction,
effectively inducting on the underlying `List`. -/
@[elab_as_elim]
def consRecOn {motive : Word M → Sort*} (w : Word M) (h_empty : motive empty)
(h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) :
motive w := by
rcases w with ⟨w, h1, h2⟩
induction w with
| nil => exact h_empty
| cons m w ih =>
refine h_cons m.1 m.2 ⟨w, fun _ hl => h1 _ (List.mem_cons_of_mem _ hl), h2.tail⟩ ?_ ?_ (ih _ _)
· rw [List.chain'_cons'] at h2
simp only [fstIdx, ne_eq, Option.map_eq_some',
Sigma.exists, exists_and_right, exists_eq_right, not_exists]
intro m' hm'
exact h2.1 _ hm' rfl
· exact h1 _ (List.mem_cons_self _ _)
@[simp]
theorem consRecOn_empty {motive : Word M → Sort*} (h_empty : motive empty)
(h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) :
consRecOn empty h_empty h_cons = h_empty := rfl
@[simp]
theorem consRecOn_cons {motive : Word M → Sort*} (i) (m : M i) (w : Word M) h1 h2
(h_empty : motive empty)
(h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) :
consRecOn (cons m w h1 h2) h_empty h_cons = h_cons i m w h1 h2
(consRecOn w h_empty h_cons) := rfl
variable [DecidableEq ι]
-- This definition is computable but not very nice to look at. Thankfully we don't have to inspect
-- it, since `rcons` is known to be injective.
/-- Given `i : ι`, any reduced word can be decomposed into a pair `p` such that `w = rcons p`. -/
private def equivPairAux (i) (w : Word M) : { p : Pair M i // rcons p = w } :=
consRecOn w ⟨⟨1, .empty, by simp [fstIdx, empty]⟩, by simp [rcons]⟩ <|
fun j m w h1 h2 _ =>
if ij : i = j then
{ val :=
{ head := ij ▸ m
tail := w
fstIdx_ne := ij ▸ h1 }
property := by subst ij; simp [rcons, h2] }
else ⟨⟨1, cons m w h1 h2, by simp [cons, fstIdx, Ne.symm ij]⟩, by simp [rcons]⟩
/-- The equivalence between words and pairs. Given a word, it decomposes it as a pair by removing
the first letter if it comes from `M i`. Given a pair, it prepends the head to the tail. -/
def equivPair (i) : Word M ≃ Pair M i where
toFun w := (equivPairAux i w).val
invFun := rcons
left_inv w := (equivPairAux i w).property
right_inv _ := rcons_inj (equivPairAux i _).property
#align free_product.word.equiv_pair Monoid.CoprodI.Word.equivPair
theorem equivPair_symm (i) (p : Pair M i) : (equivPair i).symm p = rcons p :=
rfl
#align free_product.word.equiv_pair_symm Monoid.CoprodI.Word.equivPair_symm
theorem equivPair_eq_of_fstIdx_ne {i} {w : Word M} (h : fstIdx w ≠ some i) :
equivPair i w = ⟨1, w, h⟩ :=
(equivPair i).apply_eq_iff_eq_symm_apply.mpr <| Eq.symm (dif_pos rfl)
#align free_product.word.equiv_pair_eq_of_fst_idx_ne Monoid.CoprodI.Word.equivPair_eq_of_fstIdx_ne
theorem mem_equivPair_tail_iff {i j : ι} {w : Word M} (m : M i) :
(⟨i, m⟩ ∈ (equivPair j w).tail.toList) ↔ ⟨i, m⟩ ∈ w.toList.tail
∨ i ≠ j ∧ ∃ h : w.toList ≠ [], w.toList.head h = ⟨i, m⟩ := by
simp only [equivPair, equivPairAux, ne_eq, Equiv.coe_fn_mk]
induction w using consRecOn with
| h_empty => simp
| h_cons k g tail h1 h2 ih =>
simp only [consRecOn_cons]
split_ifs with h
· subst k
by_cases hij : j = i <;> simp_all
· by_cases hik : i = k
· subst i; simp_all [@eq_comm _ m g, @eq_comm _ k j, or_comm]
· simp [hik, Ne.symm hik]
theorem mem_of_mem_equivPair_tail {i j : ι} {w : Word M} (m : M i) :
(⟨i, m⟩ ∈ (equivPair j w).tail.toList) → ⟨i, m⟩ ∈ w.toList := by
rw [mem_equivPair_tail_iff]
rintro (h | h)
· exact List.mem_of_mem_tail h
· revert h; cases w.toList <;> simp (config := {contextual := true})
theorem equivPair_head {i : ι} {w : Word M} :
(equivPair i w).head =
if h : ∃ (h : w.toList ≠ []), (w.toList.head h).1 = i
then h.snd ▸ (w.toList.head h.1).2
else 1 := by
simp only [equivPair, equivPairAux]
induction w using consRecOn with
| h_empty => simp
| h_cons head =>
by_cases hi : i = head
· subst hi; simp
· simp [hi, Ne.symm hi]
instance summandAction (i) : MulAction (M i) (Word M) where
smul m w := rcons { equivPair i w with head := m * (equivPair i w).head }
one_smul w := by
apply (equivPair i).symm_apply_eq.mpr
simp [equivPair]
mul_smul m m' w := by
dsimp [instHSMul]
simp [mul_assoc, ← equivPair_symm, Equiv.apply_symm_apply]
#align free_product.word.summand_action Monoid.CoprodI.Word.summandAction
instance : MulAction (CoprodI M) (Word M) :=
MulAction.ofEndHom (lift fun _ => MulAction.toEndHom)
theorem smul_def {i} (m : M i) (w : Word M) :
m • w = rcons { equivPair i w with head := m * (equivPair i w).head } :=
rfl
theorem of_smul_def (i) (w : Word M) (m : M i) :
of m • w = rcons { equivPair i w with head := m * (equivPair i w).head } :=
rfl
#align free_product.word.of_smul_def Monoid.CoprodI.Word.of_smul_def
theorem equivPair_smul_same {i} (m : M i) (w : Word M) :
equivPair i (of m • w) = ⟨m * (equivPair i w).head, (equivPair i w).tail,
(equivPair i w).fstIdx_ne⟩ := by
rw [of_smul_def, ← equivPair_symm]
simp
@[simp]
theorem equivPair_tail {i} (p : Pair M i) :
equivPair i p.tail = ⟨1, p.tail, p.fstIdx_ne⟩ :=
equivPair_eq_of_fstIdx_ne _
theorem smul_eq_of_smul {i} (m : M i) (w : Word M) :
m • w = of m • w := rfl
theorem mem_smul_iff {i j : ι} {m₁ : M i} {m₂ : M j} {w : Word M} :
⟨_, m₁⟩ ∈ (of m₂ • w).toList ↔
(¬i = j ∧ ⟨i, m₁⟩ ∈ w.toList)
∨ (m₁ ≠ 1 ∧ ∃ (hij : i = j),(⟨i, m₁⟩ ∈ w.toList.tail) ∨
(∃ m', ⟨j, m'⟩ ∈ w.toList.head? ∧ m₁ = hij ▸ (m₂ * m')) ∨
(w.fstIdx ≠ some j ∧ m₁ = hij ▸ m₂)) := by
rw [of_smul_def, mem_rcons_iff, mem_equivPair_tail_iff, equivPair_head, or_assoc]
by_cases hij : i = j
· subst i
simp only [not_true, ne_eq, false_and, exists_prop, true_and, false_or]
by_cases hw : ⟨j, m₁⟩ ∈ w.toList.tail
· simp [hw, show m₁ ≠ 1 from w.ne_one _ (List.mem_of_mem_tail hw)]
· simp only [hw, false_or, Option.mem_def, ne_eq, and_congr_right_iff]
intro hm1
split_ifs with h
· rcases h with ⟨hnil, rfl⟩
simp only [List.head?_eq_head _ hnil, Option.some.injEq, ne_eq]
constructor
· rintro rfl
exact Or.inl ⟨_, rfl, rfl⟩
· rintro (⟨_, h, rfl⟩ | hm')
· simp [Sigma.ext_iff] at h
subst h
rfl
· simp only [fstIdx, Option.map_eq_some', Sigma.exists,
exists_and_right, exists_eq_right, not_exists, ne_eq] at hm'
exact (hm'.1 (w.toList.head hnil).2 (by rw [List.head?_eq_head])).elim
· revert h
rw [fstIdx]
cases w.toList
· simp
· simp (config := {contextual := true}) [Sigma.ext_iff]
· rcases w with ⟨_ | _, _, _⟩ <;>
simp [or_comm, hij, Ne.symm hij]; rw [eq_comm]
theorem mem_smul_iff_of_ne {i j : ι} (hij : i ≠ j) {m₁ : M i} {m₂ : M j} {w : Word M} :
⟨_, m₁⟩ ∈ (of m₂ • w).toList ↔ ⟨i, m₁⟩ ∈ w.toList := by
simp [mem_smul_iff, *]
theorem cons_eq_smul {i} {m : M i} {ls h1 h2} :
cons m ls h1 h2 = of m • ls := by
rw [of_smul_def, equivPair_eq_of_fstIdx_ne _]
· simp [cons, rcons, h2]
· exact h1
#align free_product.word.cons_eq_smul Monoid.CoprodI.Word.cons_eq_smul
theorem rcons_eq_smul {i} (p : Pair M i) :
rcons p = of p.head • p.tail := by
simp [of_smul_def]
@[simp]
theorem equivPair_head_smul_equivPair_tail {i : ι} (w : Word M) :
of (equivPair i w).head • (equivPair i w).tail = w := by
rw [← rcons_eq_smul, ← equivPair_symm, Equiv.symm_apply_apply]
theorem equivPair_tail_eq_inv_smul {G : ι → Type*} [∀ i, Group (G i)]
[∀i, DecidableEq (G i)] {i} (w : Word G) :
(equivPair i w).tail = (of (equivPair i w).head)⁻¹ • w :=
Eq.symm <| inv_smul_eq_iff.2 (equivPair_head_smul_equivPair_tail w).symm
theorem smul_induction {C : Word M → Prop} (h_empty : C empty)
(h_smul : ∀ (i) (m : M i) (w), C w → C (of m • w)) (w : Word M) : C w := by
induction w using consRecOn with
| h_empty => exact h_empty
| h_cons _ _ _ _ _ ih =>
rw [cons_eq_smul]
exact h_smul _ _ _ ih
#align free_product.word.smul_induction Monoid.CoprodI.Word.smul_induction
@[simp]
theorem prod_smul (m) : ∀ w : Word M, prod (m • w) = m * prod w := by
induction m using CoprodI.induction_on with
| h_one =>
intro
rw [one_smul, one_mul]
| h_of _ =>
intros
rw [of_smul_def, prod_rcons, of.map_mul, mul_assoc, ← prod_rcons, ← equivPair_symm,
Equiv.symm_apply_apply]
| h_mul x y hx hy =>
intro w
rw [mul_smul, hx, hy, mul_assoc]
#align free_product.word.prod_smul Monoid.CoprodI.Word.prod_smul
/-- Each element of the free product corresponds to a unique reduced word. -/
def equiv : CoprodI M ≃ Word M where
toFun m := m • empty
invFun w := prod w
left_inv m := by dsimp only; rw [prod_smul, prod_empty, mul_one]
right_inv := by
apply smul_induction
· dsimp only
rw [prod_empty, one_smul]
· dsimp only
intro i m w ih
rw [prod_smul, mul_smul, ih]
#align free_product.word.equiv Monoid.CoprodI.Word.equiv
instance : DecidableEq (Word M) :=
Function.Injective.decidableEq Word.ext
instance : DecidableEq (CoprodI M) :=
Equiv.decidableEq Word.equiv
end Word
variable (M)
/-- A `NeWord M i j` is a representation of a non-empty reduced words where the first letter comes
from `M i` and the last letter comes from `M j`. It can be constructed from singletons and via
concatenation, and thus provides a useful induction principle. -/
--@[nolint has_nonempty_instance] Porting note(#5171): commented out
inductive NeWord : ι → ι → Type _
| singleton : ∀ {i : ι} (x : M i), x ≠ 1 → NeWord i i
| append : ∀ {i j k l} (_w₁ : NeWord i j) (_hne : j ≠ k) (_w₂ : NeWord k l), NeWord i l
#align free_product.neword Monoid.CoprodI.NeWord
variable {M}
namespace NeWord
open Word
/-- The list represented by a given `NeWord` -/
@[simp]
def toList : ∀ {i j} (_w : NeWord M i j), List (Σi, M i)
| i, _, singleton x _ => [⟨i, x⟩]
| _, _, append w₁ _ w₂ => w₁.toList ++ w₂.toList
#align free_product.neword.to_list Monoid.CoprodI.NeWord.toList
theorem toList_ne_nil {i j} (w : NeWord M i j) : w.toList ≠ List.nil := by
induction w
· rintro ⟨rfl⟩
· apply List.append_ne_nil_of_ne_nil_left
assumption
#align free_product.neword.to_list_ne_nil Monoid.CoprodI.NeWord.toList_ne_nil
/-- The first letter of a `NeWord` -/
@[simp]
def head : ∀ {i j} (_w : NeWord M i j), M i
| _, _, singleton x _ => x
| _, _, append w₁ _ _ => w₁.head
#align free_product.neword.head Monoid.CoprodI.NeWord.head
/-- The last letter of a `NeWord` -/
@[simp]
def last : ∀ {i j} (_w : NeWord M i j), M j
| _, _, singleton x _hne1 => x
| _, _, append _w₁ _hne w₂ => w₂.last
#align free_product.neword.last Monoid.CoprodI.NeWord.last
@[simp]
theorem toList_head? {i j} (w : NeWord M i j) : w.toList.head? = Option.some ⟨i, w.head⟩ := by
rw [← Option.mem_def]
induction w
· rw [Option.mem_def]
rfl
· exact List.head?_append (by assumption)
#align free_product.neword.to_list_head' Monoid.CoprodI.NeWord.toList_head?
@[simp]
theorem toList_getLast? {i j} (w : NeWord M i j) : w.toList.getLast? = Option.some ⟨j, w.last⟩ := by
rw [← Option.mem_def]
induction w
· rw [Option.mem_def]
rfl
· exact List.getLast?_append (by assumption)
#align free_product.neword.to_list_last' Monoid.CoprodI.NeWord.toList_getLast?
/-- The `Word M` represented by a `NeWord M i j` -/
def toWord {i j} (w : NeWord M i j) : Word M where
toList := w.toList
ne_one := by
induction w
· simpa only [toList, List.mem_singleton, ne_eq, forall_eq]
· intro l h
simp only [toList, List.mem_append] at h
cases h <;> aesop
chain_ne := by
induction w
· exact List.chain'_singleton _
· refine List.Chain'.append (by assumption) (by assumption) ?_
intro x hx y hy
rw [toList_getLast?, Option.mem_some_iff] at hx
rw [toList_head?, Option.mem_some_iff] at hy
subst hx
subst hy
assumption
#align free_product.neword.to_word Monoid.CoprodI.NeWord.toWord
/-- Every nonempty `Word M` can be constructed as a `NeWord M i j` -/
theorem of_word (w : Word M) (h : w ≠ empty) : ∃ (i j : _) (w' : NeWord M i j), w'.toWord = w := by
suffices ∃ (i j : _) (w' : NeWord M i j), w'.toWord.toList = w.toList by
rcases this with ⟨i, j, w, h⟩
refine ⟨i, j, w, ?_⟩
ext
rw [h]
cases' w with l hnot1 hchain
induction' l with x l hi
· contradiction
· rw [List.forall_mem_cons] at hnot1
cases' l with y l
· refine ⟨x.1, x.1, singleton x.2 hnot1.1, ?_⟩
simp [toWord]
· rw [List.chain'_cons] at hchain
specialize hi hnot1.2 hchain.2 (by rintro ⟨rfl⟩)
obtain ⟨i, j, w', hw' : w'.toList = y::l⟩ := hi
obtain rfl : y = ⟨i, w'.head⟩ := by simpa [hw'] using w'.toList_head?
refine ⟨x.1, j, append (singleton x.2 hnot1.1) hchain.1 w', ?_⟩
simpa [toWord] using hw'
#align free_product.neword.of_word Monoid.CoprodI.NeWord.of_word
/-- A non-empty reduced word determines an element of the free product, given by multiplication. -/
def prod {i j} (w : NeWord M i j) :=
w.toWord.prod
#align free_product.neword.prod Monoid.CoprodI.NeWord.prod
@[simp]
theorem singleton_head {i} (x : M i) (hne_one : x ≠ 1) : (singleton x hne_one).head = x :=
rfl
#align free_product.neword.singleton_head Monoid.CoprodI.NeWord.singleton_head
@[simp]
theorem singleton_last {i} (x : M i) (hne_one : x ≠ 1) : (singleton x hne_one).last = x :=
rfl
#align free_product.neword.singleton_last Monoid.CoprodI.NeWord.singleton_last
@[simp]
theorem prod_singleton {i} (x : M i) (hne_one : x ≠ 1) : (singleton x hne_one).prod = of x := by
simp [toWord, prod, Word.prod]
#align free_product.neword.prod_singleton Monoid.CoprodI.NeWord.prod_singleton
@[simp]
theorem append_head {i j k l} {w₁ : NeWord M i j} {hne : j ≠ k} {w₂ : NeWord M k l} :
(append w₁ hne w₂).head = w₁.head :=
rfl
#align free_product.neword.append_head Monoid.CoprodI.NeWord.append_head
@[simp]
theorem append_last {i j k l} {w₁ : NeWord M i j} {hne : j ≠ k} {w₂ : NeWord M k l} :
(append w₁ hne w₂).last = w₂.last :=
rfl
#align free_product.neword.append_last Monoid.CoprodI.NeWord.append_last
@[simp]
theorem append_prod {i j k l} {w₁ : NeWord M i j} {hne : j ≠ k} {w₂ : NeWord M k l} :
(append w₁ hne w₂).prod = w₁.prod * w₂.prod := by simp [toWord, prod, Word.prod]
#align free_product.neword.append_prod Monoid.CoprodI.NeWord.append_prod
/-- One can replace the first letter in a non-empty reduced word by an element of the same
group -/
def replaceHead : ∀ {i j : ι} (x : M i) (_hnotone : x ≠ 1) (_w : NeWord M i j), NeWord M i j
| _, _, x, h, singleton _ _ => singleton x h
| _, _, x, h, append w₁ hne w₂ => append (replaceHead x h w₁) hne w₂
#align free_product.neword.replace_head Monoid.CoprodI.NeWord.replaceHead
@[simp]
theorem replaceHead_head {i j : ι} (x : M i) (hnotone : x ≠ 1) (w : NeWord M i j) :
(replaceHead x hnotone w).head = x := by
induction w
· rfl
· simp [*]
#align free_product.neword.replace_head_head Monoid.CoprodI.NeWord.replaceHead_head
/-- One can multiply an element from the left to a non-empty reduced word if it does not cancel
with the first element in the word. -/
def mulHead {i j : ι} (w : NeWord M i j) (x : M i) (hnotone : x * w.head ≠ 1) : NeWord M i j :=
replaceHead (x * w.head) hnotone w
#align free_product.neword.mul_head Monoid.CoprodI.NeWord.mulHead
@[simp]
theorem mulHead_head {i j : ι} (w : NeWord M i j) (x : M i) (hnotone : x * w.head ≠ 1) :
(mulHead w x hnotone).head = x * w.head := by
induction w
· rfl
· simp [*]
#align free_product.neword.mul_head_head Monoid.CoprodI.NeWord.mulHead_head
@[simp]
theorem mulHead_prod {i j : ι} (w : NeWord M i j) (x : M i) (hnotone : x * w.head ≠ 1) :
(mulHead w x hnotone).prod = of x * w.prod := by
unfold mulHead
induction' w with _ _ _ _ _ _ _ _ _ _ w_ih_w₁ w_ih_w₂
· simp [mulHead, replaceHead]
· specialize w_ih_w₁ _ hnotone
clear w_ih_w₂
simp? [replaceHead, ← mul_assoc] at * says
simp only [replaceHead, head, append_prod, ← mul_assoc] at *
congr 1
#align free_product.neword.mul_head_prod Monoid.CoprodI.NeWord.mulHead_prod
section Group
variable {G : ι → Type*} [∀ i, Group (G i)]
/-- The inverse of a non-empty reduced word -/
def inv : ∀ {i j} (_w : NeWord G i j), NeWord G j i
| _, _, singleton x h => singleton x⁻¹ (mt inv_eq_one.mp h)
| _, _, append w₁ h w₂ => append w₂.inv h.symm w₁.inv
#align free_product.neword.inv Monoid.CoprodI.NeWord.inv
@[simp]
theorem inv_prod {i j} (w : NeWord G i j) : w.inv.prod = w.prod⁻¹ := by
induction w <;> simp [inv, *]
#align free_product.neword.inv_prod Monoid.CoprodI.NeWord.inv_prod
@[simp]
theorem inv_head {i j} (w : NeWord G i j) : w.inv.head = w.last⁻¹ := by
induction w <;> simp [inv, *]
#align free_product.neword.inv_head Monoid.CoprodI.NeWord.inv_head
@[simp]
theorem inv_last {i j} (w : NeWord G i j) : w.inv.last = w.head⁻¹ := by
induction w <;> simp [inv, *]
#align free_product.neword.inv_last Monoid.CoprodI.NeWord.inv_last
end Group
end NeWord
section PingPongLemma
open Pointwise
open Cardinal
variable [hnontriv : Nontrivial ι]
variable {G : Type*} [Group G]
variable {H : ι → Type*} [∀ i, Group (H i)]
variable (f : ∀ i, H i →* G)
-- We need many groups or one group with many elements
variable (hcard : 3 ≤ #ι ∨ ∃ i, 3 ≤ #(H i))
-- A group action on α, and the ping-pong sets
variable {α : Type*} [MulAction G α]
variable (X : ι → Set α)
variable (hXnonempty : ∀ i, (X i).Nonempty)
variable (hXdisj : Pairwise fun i j => Disjoint (X i) (X j))
variable (hpp : Pairwise fun i j => ∀ h : H i, h ≠ 1 → f i h • X j ⊆ X i)
theorem lift_word_ping_pong {i j k} (w : NeWord H i j) (hk : j ≠ k) :
lift f w.prod • X k ⊆ X i := by
induction' w with i x hne_one i j k l w₁ hne w₂ hIw₁ hIw₂ generalizing k
· simpa using hpp hk _ hne_one
· calc
lift f (NeWord.append w₁ hne w₂).prod • X k = lift f w₁.prod • lift f w₂.prod • X k := by
simp [MulAction.mul_smul]
_ ⊆ lift f w₁.prod • X _ := set_smul_subset_set_smul_iff.mpr (hIw₂ hk)
_ ⊆ X i := hIw₁ hne
#align free_product.lift_word_ping_pong Monoid.CoprodI.lift_word_ping_pong
theorem lift_word_prod_nontrivial_of_other_i {i j k} (w : NeWord H i j) (hhead : k ≠ i)
(hlast : k ≠ j) : lift f w.prod ≠ 1 := by
intro heq1
have : X k ⊆ X i := by simpa [heq1] using lift_word_ping_pong f X hpp w hlast.symm
obtain ⟨x, hx⟩ := hXnonempty k
exact (hXdisj hhead).le_bot ⟨hx, this hx⟩
#align free_product.lift_word_prod_nontrivial_of_other_i Monoid.CoprodI.lift_word_prod_nontrivial_of_other_i
theorem lift_word_prod_nontrivial_of_head_eq_last {i} (w : NeWord H i i) : lift f w.prod ≠ 1 := by
obtain ⟨k, hk⟩ := exists_ne i
exact lift_word_prod_nontrivial_of_other_i f X hXnonempty hXdisj hpp w hk hk
#align free_product.lift_word_prod_nontrivial_of_head_eq_last Monoid.CoprodI.lift_word_prod_nontrivial_of_head_eq_last
theorem lift_word_prod_nontrivial_of_head_card {i j} (w : NeWord H i j) (hcard : 3 ≤ #(H i))
(hheadtail : i ≠ j) : lift f w.prod ≠ 1 := by
obtain ⟨h, hn1, hnh⟩ := Cardinal.three_le hcard 1 w.head⁻¹
have hnot1 : h * w.head ≠ 1 := by
rw [← div_inv_eq_mul]
exact div_ne_one_of_ne hnh
let w' : NeWord H i i :=
NeWord.append (NeWord.mulHead w h hnot1) hheadtail.symm
(NeWord.singleton h⁻¹ (inv_ne_one.mpr hn1))
have hw' : lift f w'.prod ≠ 1 :=
lift_word_prod_nontrivial_of_head_eq_last f X hXnonempty hXdisj hpp w'
intro heq1
apply hw'
simp [w', heq1]
#align free_product.lift_word_prod_nontrivial_of_head_card Monoid.CoprodI.lift_word_prod_nontrivial_of_head_card
theorem lift_word_prod_nontrivial_of_not_empty {i j} (w : NeWord H i j) : lift f w.prod ≠ 1 := by
classical
cases' hcard with hcard hcard
· obtain ⟨i, h1, h2⟩ := Cardinal.three_le hcard i j
exact lift_word_prod_nontrivial_of_other_i f X hXnonempty hXdisj hpp w h1 h2
· cases' hcard with k hcard
by_cases hh : i = k <;> by_cases hl : j = k
· subst hh
subst hl
exact lift_word_prod_nontrivial_of_head_eq_last f X hXnonempty hXdisj hpp w
· subst hh
change j ≠ i at hl
exact lift_word_prod_nontrivial_of_head_card f X hXnonempty hXdisj hpp w hcard hl.symm
· subst hl
change i ≠ j at hh
have : lift f w.inv.prod ≠ 1 :=
lift_word_prod_nontrivial_of_head_card f X hXnonempty hXdisj hpp w.inv hcard hh.symm
intro heq
apply this
simpa using heq
· change i ≠ k at hh
change j ≠ k at hl
obtain ⟨h, hn1, -⟩ := Cardinal.three_le hcard 1 1
let w' : NeWord H k k :=
NeWord.append (NeWord.append (NeWord.singleton h hn1) hh.symm w) hl
(NeWord.singleton h⁻¹ (inv_ne_one.mpr hn1))
have hw' : lift f w'.prod ≠ 1 :=
lift_word_prod_nontrivial_of_head_eq_last f X hXnonempty hXdisj hpp w'
intro heq1
apply hw'
simp [w', heq1]
#align free_product.lift_word_prod_nontrivial_of_not_empty Monoid.CoprodI.lift_word_prod_nontrivial_of_not_empty
theorem empty_of_word_prod_eq_one {w : Word H} (h : lift f w.prod = 1) : w = Word.empty := by
by_contra hnotempty
obtain ⟨i, j, w, rfl⟩ := NeWord.of_word w hnotempty
exact lift_word_prod_nontrivial_of_not_empty f hcard X hXnonempty hXdisj hpp w h
#align free_product.empty_of_word_prod_eq_one Monoid.CoprodI.empty_of_word_prod_eq_one
/-- The **Ping-Pong-Lemma**.
Given a group action of `G` on `X` so that the `H i` acts in a specific way on disjoint subsets
`X i` we can prove that `lift f` is injective, and thus the image of `lift f` is isomorphic to the
free product of the `H i`.
Often the Ping-Pong-Lemma is stated with regard to subgroups `H i` that generate the whole group;
we generalize to arbitrary group homomorphisms `f i : H i →* G` and do not require the group to be
generated by the images.
Usually the Ping-Pong-Lemma requires that one group `H i` has at least three elements. This
condition is only needed if `# ι = 2`, and we accept `3 ≤ # ι` as an alternative.
-/
theorem lift_injective_of_ping_pong : Function.Injective (lift f) := by
classical
apply (injective_iff_map_eq_one (lift f)).mpr
rw [(CoprodI.Word.equiv).forall_congr_left']
intro w Heq
dsimp [Word.equiv] at *
rw [empty_of_word_prod_eq_one f hcard X hXnonempty hXdisj hpp Heq, Word.prod_empty]
#align free_product.lift_injective_of_ping_pong Monoid.CoprodI.lift_injective_of_ping_pong
end PingPongLemma
/-- Given a family of free groups with distinguished bases, then their free product is free, with
a basis given by the union of the bases of the components. -/
def FreeGroupBasis.coprodI {ι : Type*} {X : ι → Type*} {G : ι → Type*} [∀ i, Group (G i)]
(B : ∀ i, FreeGroupBasis (X i) (G i)) :
FreeGroupBasis (Σ i, X i) (CoprodI G) :=
⟨MulEquiv.symm <| MonoidHom.toMulEquiv
(FreeGroup.lift fun x : Σ i, X i => CoprodI.of (B x.1 x.2))
(CoprodI.lift fun i : ι => (B i).lift fun x : X i =>
FreeGroup.of (⟨i, x⟩ : Σ i, X i))
(by ext; simp)
(by ext1 i; apply (B i).ext_hom; simp)⟩
/-- The free product of free groups is itself a free group. -/
instance {ι : Type*} (G : ι → Type*) [∀ i, Group (G i)] [∀ i, IsFreeGroup (G i)] :
IsFreeGroup (CoprodI G) :=
(FreeGroupBasis.coprodI (fun i ↦ IsFreeGroup.basis (G i))).isFreeGroup
-- NB: One might expect this theorem to be phrased with ℤ, but ℤ is an additive group,
-- and using `Multiplicative ℤ` runs into diamond issues.
/-- A free group is a free product of copies of the free_group over one generator. -/
@[simps!]
def _root_.freeGroupEquivCoprodI {ι : Type u_1} :
FreeGroup ι ≃* CoprodI fun _ : ι => FreeGroup Unit := by
refine MonoidHom.toMulEquiv ?_ ?_ ?_ ?_
· exact FreeGroup.lift fun i => @CoprodI.of ι _ _ i (FreeGroup.of Unit.unit)
· exact CoprodI.lift fun i => FreeGroup.lift fun _ => FreeGroup.of i
· ext; simp
· ext i a; cases a; simp
#align free_group_equiv_free_product freeGroupEquivCoprodI
section PingPongLemma
open Pointwise Cardinal
variable [Nontrivial ι]
variable {G : Type u_1} [Group G] (a : ι → G)
-- A group action on α, and the ping-pong sets
variable {α : Type*} [MulAction G α]
variable (X Y : ι → Set α)
variable (hXnonempty : ∀ i, (X i).Nonempty)
variable (hXdisj : Pairwise fun i j => Disjoint (X i) (X j))
variable (hYdisj : Pairwise fun i j => Disjoint (Y i) (Y j))
variable (hXYdisj : ∀ i j, Disjoint (X i) (Y j))
variable (hX : ∀ i, a i • (Y i)ᶜ ⊆ X i)
variable (hY : ∀ i, a⁻¹ i • (X i)ᶜ ⊆ Y i)
/-- The Ping-Pong-Lemma.
Given a group action of `G` on `X` so that the generators of the free groups act in specific
ways on disjoint subsets `X i` and `Y i` we can prove that `lift f` is injective, and thus the image
of `lift f` is isomorphic to the free group.
Often the Ping-Pong-Lemma is stated with regard to group elements that generate the whole group;
we generalize to arbitrary group homomorphisms from the free group to `G` and do not require the
group to be generated by the elements.
-/
| Mathlib/GroupTheory/CoprodI.lean | 1,050 | 1,139 | theorem _root_.FreeGroup.injective_lift_of_ping_pong : Function.Injective (FreeGroup.lift a) := by |
-- Step one: express the free group lift via the free product lift
have : FreeGroup.lift a =
(CoprodI.lift fun i => FreeGroup.lift fun _ => a i).comp
(@freeGroupEquivCoprodI ι).toMonoidHom := by
ext i
simp
rw [this, MonoidHom.coe_comp]
clear this
refine Function.Injective.comp ?_ (MulEquiv.injective freeGroupEquivCoprodI)
-- Step two: Invoke the ping-pong lemma for free products
show Function.Injective (lift fun i : ι => FreeGroup.lift fun _ => a i)
-- Prepare to instantiate lift_injective_of_ping_pong
let H : ι → Type _ := fun _i => FreeGroup Unit
let f : ∀ i, H i →* G := fun i => FreeGroup.lift fun _ => a i
let X' : ι → Set α := fun i => X i ∪ Y i
apply lift_injective_of_ping_pong f _ X'
· show ∀ i, (X' i).Nonempty
exact fun i => Set.Nonempty.inl (hXnonempty i)
· show Pairwise fun i j => Disjoint (X' i) (X' j)
intro i j hij
simp only [X']
apply Disjoint.union_left <;> apply Disjoint.union_right
· exact hXdisj hij
· exact hXYdisj i j
· exact (hXYdisj j i).symm
· exact hYdisj hij
· show Pairwise fun i j => ∀ h : H i, h ≠ 1 → f i h • X' j ⊆ X' i
rintro i j hij
-- use free_group unit ≃ ℤ
refine FreeGroup.freeGroupUnitEquivInt.forall_congr_left'.mpr ?_
intro n hne1
change FreeGroup.lift (fun _ => a i) (FreeGroup.of () ^ n) • X' j ⊆ X' i
simp only [map_zpow, FreeGroup.lift.of]
change a i ^ n • X' j ⊆ X' i
have hnne0 : n ≠ 0 := by
rintro rfl
apply hne1
simp [H]; rfl
clear hne1
simp only [X']
-- Positive and negative powers separately
cases' (lt_or_gt_of_ne hnne0).symm with hlt hgt
· have h1n : 1 ≤ n := hlt
calc
a i ^ n • X' j ⊆ a i ^ n • (Y i)ᶜ :=
smul_set_mono ((hXYdisj j i).union_left <| hYdisj hij.symm).subset_compl_right
_ ⊆ X i := by
clear hnne0 hlt
refine Int.le_induction (P := fun n => a i ^ n • (Y i)ᶜ ⊆ X i) ?_ ?_ n h1n
· dsimp
rw [zpow_one]
exact hX i
· dsimp
intro n _hle hi
calc
a i ^ (n + 1) • (Y i)ᶜ = (a i ^ n * a i) • (Y i)ᶜ := by rw [zpow_add, zpow_one]
_ = a i ^ n • a i • (Y i)ᶜ := MulAction.mul_smul _ _ _
_ ⊆ a i ^ n • X i := smul_set_mono <| hX i
_ ⊆ a i ^ n • (Y i)ᶜ := smul_set_mono (hXYdisj i i).subset_compl_right
_ ⊆ X i := hi
_ ⊆ X' i := Set.subset_union_left
· have h1n : n ≤ -1 := by
apply Int.le_of_lt_add_one
simpa using hgt
calc
a i ^ n • X' j ⊆ a i ^ n • (X i)ᶜ :=
smul_set_mono ((hXdisj hij.symm).union_left (hXYdisj i j).symm).subset_compl_right
_ ⊆ Y i := by
refine Int.le_induction_down (P := fun n => a i ^ n • (X i)ᶜ ⊆ Y i) ?_ ?_ _ h1n
· dsimp
rw [zpow_neg, zpow_one]
exact hY i
· dsimp
intro n _ hi
calc
a i ^ (n - 1) • (X i)ᶜ = (a i ^ n * (a i)⁻¹) • (X i)ᶜ := by rw [zpow_sub, zpow_one]
_ = a i ^ n • (a i)⁻¹ • (X i)ᶜ := MulAction.mul_smul _ _ _
_ ⊆ a i ^ n • Y i := smul_set_mono <| hY i
_ ⊆ a i ^ n • (X i)ᶜ := smul_set_mono (hXYdisj i i).symm.subset_compl_right
_ ⊆ Y i := hi
_ ⊆ X' i := Set.subset_union_right
show _ ∨ ∃ i, 3 ≤ #(H i)
inhabit ι
right
use Inhabited.default
simp only [H]
rw [FreeGroup.freeGroupUnitEquivInt.cardinal_eq, Cardinal.mk_denumerable]
apply le_of_lt
exact nat_lt_aleph0 3
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yury Kudryashov
-/
import Mathlib.Data.ENNReal.Operations
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
/-!
# Results about division in extended non-negative reals
This file establishes basic properties related to the inversion and division operations on `ℝ≥0∞`.
For instance, as a consequence of being a `DivInvOneMonoid`, `ℝ≥0∞` inherits a power operation
with integer exponent.
## Main results
A few order isomorphisms are worthy of mention:
- `OrderIso.invENNReal : ℝ≥0∞ ≃o ℝ≥0∞ᵒᵈ`: The map `x ↦ x⁻¹` as an order isomorphism to the dual.
- `orderIsoIicOneBirational : ℝ≥0∞ ≃o Iic (1 : ℝ≥0∞)`: The birational order isomorphism between
`ℝ≥0∞` and the unit interval `Set.Iic (1 : ℝ≥0∞)` given by `x ↦ (x⁻¹ + 1)⁻¹` with inverse
`x ↦ (x⁻¹ - 1)⁻¹`
- `orderIsoIicCoe (a : ℝ≥0) : Iic (a : ℝ≥0∞) ≃o Iic a`: Order isomorphism between an initial
interval in `ℝ≥0∞` and an initial interval in `ℝ≥0` given by the identity map.
- `orderIsoUnitIntervalBirational : ℝ≥0∞ ≃o Icc (0 : ℝ) 1`: An order isomorphism between
the extended nonnegative real numbers and the unit interval. This is `orderIsoIicOneBirational`
composed with the identity order isomorphism between `Iic (1 : ℝ≥0∞)` and `Icc (0 : ℝ) 1`.
-/
open Set NNReal
namespace ENNReal
noncomputable section Inv
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
protected theorem div_eq_inv_mul : a / b = b⁻¹ * a := by rw [div_eq_mul_inv, mul_comm]
#align ennreal.div_eq_inv_mul ENNReal.div_eq_inv_mul
@[simp] theorem inv_zero : (0 : ℝ≥0∞)⁻¹ = ∞ :=
show sInf { b : ℝ≥0∞ | 1 ≤ 0 * b } = ∞ by simp
#align ennreal.inv_zero ENNReal.inv_zero
@[simp] theorem inv_top : ∞⁻¹ = 0 :=
bot_unique <| le_of_forall_le_of_dense fun a (h : 0 < a) => sInf_le <| by simp [*, h.ne', top_mul]
#align ennreal.inv_top ENNReal.inv_top
theorem coe_inv_le : (↑r⁻¹ : ℝ≥0∞) ≤ (↑r)⁻¹ :=
le_sInf fun b (hb : 1 ≤ ↑r * b) =>
coe_le_iff.2 <| by
rintro b rfl
apply NNReal.inv_le_of_le_mul
rwa [← coe_mul, ← coe_one, coe_le_coe] at hb
#align ennreal.coe_inv_le ENNReal.coe_inv_le
@[simp, norm_cast]
theorem coe_inv (hr : r ≠ 0) : (↑r⁻¹ : ℝ≥0∞) = (↑r)⁻¹ :=
coe_inv_le.antisymm <| sInf_le <| mem_setOf.2 <| by rw [← coe_mul, mul_inv_cancel hr, coe_one]
#align ennreal.coe_inv ENNReal.coe_inv
@[norm_cast]
theorem coe_inv_two : ((2⁻¹ : ℝ≥0) : ℝ≥0∞) = 2⁻¹ := by rw [coe_inv _root_.two_ne_zero, coe_two]
#align ennreal.coe_inv_two ENNReal.coe_inv_two
@[simp, norm_cast]
| Mathlib/Data/ENNReal/Inv.lean | 72 | 73 | theorem coe_div (hr : r ≠ 0) : (↑(p / r) : ℝ≥0∞) = p / r := by |
rw [div_eq_mul_inv, div_eq_mul_inv, coe_mul, coe_inv hr]
|
/-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Mathlib.Data.Stream.Defs
import Mathlib.Logic.Function.Basic
import Mathlib.Init.Data.List.Basic
import Mathlib.Data.List.Basic
#align_import data.stream.init from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
/-!
# Streams a.k.a. infinite lists a.k.a. infinite sequences
Porting note:
This file used to be in the core library. It was moved to `mathlib` and renamed to `init` to avoid
name clashes. -/
set_option autoImplicit true
open Nat Function Option
namespace Stream'
variable {α : Type u} {β : Type v} {δ : Type w}
instance [Inhabited α] : Inhabited (Stream' α) :=
⟨Stream'.const default⟩
protected theorem eta (s : Stream' α) : (head s::tail s) = s :=
funext fun i => by cases i <;> rfl
#align stream.eta Stream'.eta
@[ext]
protected theorem ext {s₁ s₂ : Stream' α} : (∀ n, get s₁ n = get s₂ n) → s₁ = s₂ :=
fun h => funext h
#align stream.ext Stream'.ext
@[simp]
theorem get_zero_cons (a : α) (s : Stream' α) : get (a::s) 0 = a :=
rfl
#align stream.nth_zero_cons Stream'.get_zero_cons
@[simp]
theorem head_cons (a : α) (s : Stream' α) : head (a::s) = a :=
rfl
#align stream.head_cons Stream'.head_cons
@[simp]
theorem tail_cons (a : α) (s : Stream' α) : tail (a::s) = s :=
rfl
#align stream.tail_cons Stream'.tail_cons
@[simp]
theorem get_drop (n m : Nat) (s : Stream' α) : get (drop m s) n = get s (n + m) :=
rfl
#align stream.nth_drop Stream'.get_drop
theorem tail_eq_drop (s : Stream' α) : tail s = drop 1 s :=
rfl
#align stream.tail_eq_drop Stream'.tail_eq_drop
@[simp]
theorem drop_drop (n m : Nat) (s : Stream' α) : drop n (drop m s) = drop (n + m) s := by
ext; simp [Nat.add_assoc]
#align stream.drop_drop Stream'.drop_drop
@[simp] theorem get_tail {s : Stream' α} : s.tail.get n = s.get (n + 1) := rfl
@[simp] theorem tail_drop' {s : Stream' α} : tail (drop i s) = s.drop (i+1) := by
ext; simp [Nat.add_comm, Nat.add_assoc, Nat.add_left_comm]
@[simp] theorem drop_tail' {s : Stream' α} : drop i (tail s) = s.drop (i+1) := rfl
theorem tail_drop (n : Nat) (s : Stream' α) : tail (drop n s) = drop n (tail s) := by simp
#align stream.tail_drop Stream'.tail_drop
theorem get_succ (n : Nat) (s : Stream' α) : get s (succ n) = get (tail s) n :=
rfl
#align stream.nth_succ Stream'.get_succ
@[simp]
theorem get_succ_cons (n : Nat) (s : Stream' α) (x : α) : get (x::s) n.succ = get s n :=
rfl
#align stream.nth_succ_cons Stream'.get_succ_cons
@[simp] theorem drop_zero {s : Stream' α} : s.drop 0 = s := rfl
theorem drop_succ (n : Nat) (s : Stream' α) : drop (succ n) s = drop n (tail s) :=
rfl
#align stream.drop_succ Stream'.drop_succ
theorem head_drop (a : Stream' α) (n : ℕ) : (a.drop n).head = a.get n := by simp
#align stream.head_drop Stream'.head_drop
theorem cons_injective2 : Function.Injective2 (cons : α → Stream' α → Stream' α) := fun x y s t h =>
⟨by rw [← get_zero_cons x s, h, get_zero_cons],
Stream'.ext fun n => by rw [← get_succ_cons n _ x, h, get_succ_cons]⟩
#align stream.cons_injective2 Stream'.cons_injective2
theorem cons_injective_left (s : Stream' α) : Function.Injective fun x => cons x s :=
cons_injective2.left _
#align stream.cons_injective_left Stream'.cons_injective_left
theorem cons_injective_right (x : α) : Function.Injective (cons x) :=
cons_injective2.right _
#align stream.cons_injective_right Stream'.cons_injective_right
theorem all_def (p : α → Prop) (s : Stream' α) : All p s = ∀ n, p (get s n) :=
rfl
#align stream.all_def Stream'.all_def
theorem any_def (p : α → Prop) (s : Stream' α) : Any p s = ∃ n, p (get s n) :=
rfl
#align stream.any_def Stream'.any_def
@[simp]
theorem mem_cons (a : α) (s : Stream' α) : a ∈ a::s :=
Exists.intro 0 rfl
#align stream.mem_cons Stream'.mem_cons
theorem mem_cons_of_mem {a : α} {s : Stream' α} (b : α) : a ∈ s → a ∈ b::s := fun ⟨n, h⟩ =>
Exists.intro (succ n) (by rw [get_succ, tail_cons, h])
#align stream.mem_cons_of_mem Stream'.mem_cons_of_mem
theorem eq_or_mem_of_mem_cons {a b : α} {s : Stream' α} : (a ∈ b::s) → a = b ∨ a ∈ s :=
fun ⟨n, h⟩ => by
cases' n with n'
· left
exact h
· right
rw [get_succ, tail_cons] at h
exact ⟨n', h⟩
#align stream.eq_or_mem_of_mem_cons Stream'.eq_or_mem_of_mem_cons
theorem mem_of_get_eq {n : Nat} {s : Stream' α} {a : α} : a = get s n → a ∈ s := fun h =>
Exists.intro n h
#align stream.mem_of_nth_eq Stream'.mem_of_get_eq
section Map
variable (f : α → β)
theorem drop_map (n : Nat) (s : Stream' α) : drop n (map f s) = map f (drop n s) :=
Stream'.ext fun _ => rfl
#align stream.drop_map Stream'.drop_map
@[simp]
theorem get_map (n : Nat) (s : Stream' α) : get (map f s) n = f (get s n) :=
rfl
#align stream.nth_map Stream'.get_map
theorem tail_map (s : Stream' α) : tail (map f s) = map f (tail s) := rfl
#align stream.tail_map Stream'.tail_map
@[simp]
theorem head_map (s : Stream' α) : head (map f s) = f (head s) :=
rfl
#align stream.head_map Stream'.head_map
theorem map_eq (s : Stream' α) : map f s = f (head s)::map f (tail s) := by
rw [← Stream'.eta (map f s), tail_map, head_map]
#align stream.map_eq Stream'.map_eq
theorem map_cons (a : α) (s : Stream' α) : map f (a::s) = f a::map f s := by
rw [← Stream'.eta (map f (a::s)), map_eq]; rfl
#align stream.map_cons Stream'.map_cons
@[simp]
theorem map_id (s : Stream' α) : map id s = s :=
rfl
#align stream.map_id Stream'.map_id
@[simp]
theorem map_map (g : β → δ) (f : α → β) (s : Stream' α) : map g (map f s) = map (g ∘ f) s :=
rfl
#align stream.map_map Stream'.map_map
@[simp]
theorem map_tail (s : Stream' α) : map f (tail s) = tail (map f s) :=
rfl
#align stream.map_tail Stream'.map_tail
theorem mem_map {a : α} {s : Stream' α} : a ∈ s → f a ∈ map f s := fun ⟨n, h⟩ =>
Exists.intro n (by rw [get_map, h])
#align stream.mem_map Stream'.mem_map
theorem exists_of_mem_map {f} {b : β} {s : Stream' α} : b ∈ map f s → ∃ a, a ∈ s ∧ f a = b :=
fun ⟨n, h⟩ => ⟨get s n, ⟨n, rfl⟩, h.symm⟩
#align stream.exists_of_mem_map Stream'.exists_of_mem_map
end Map
section Zip
variable (f : α → β → δ)
theorem drop_zip (n : Nat) (s₁ : Stream' α) (s₂ : Stream' β) :
drop n (zip f s₁ s₂) = zip f (drop n s₁) (drop n s₂) :=
Stream'.ext fun _ => rfl
#align stream.drop_zip Stream'.drop_zip
@[simp]
theorem get_zip (n : Nat) (s₁ : Stream' α) (s₂ : Stream' β) :
get (zip f s₁ s₂) n = f (get s₁ n) (get s₂ n) :=
rfl
#align stream.nth_zip Stream'.get_zip
theorem head_zip (s₁ : Stream' α) (s₂ : Stream' β) : head (zip f s₁ s₂) = f (head s₁) (head s₂) :=
rfl
#align stream.head_zip Stream'.head_zip
theorem tail_zip (s₁ : Stream' α) (s₂ : Stream' β) :
tail (zip f s₁ s₂) = zip f (tail s₁) (tail s₂) :=
rfl
#align stream.tail_zip Stream'.tail_zip
theorem zip_eq (s₁ : Stream' α) (s₂ : Stream' β) :
zip f s₁ s₂ = f (head s₁) (head s₂)::zip f (tail s₁) (tail s₂) := by
rw [← Stream'.eta (zip f s₁ s₂)]; rfl
#align stream.zip_eq Stream'.zip_eq
@[simp]
theorem get_enum (s : Stream' α) (n : ℕ) : get (enum s) n = (n, s.get n) :=
rfl
#align stream.nth_enum Stream'.get_enum
theorem enum_eq_zip (s : Stream' α) : enum s = zip Prod.mk nats s :=
rfl
#align stream.enum_eq_zip Stream'.enum_eq_zip
end Zip
@[simp]
theorem mem_const (a : α) : a ∈ const a :=
Exists.intro 0 rfl
#align stream.mem_const Stream'.mem_const
theorem const_eq (a : α) : const a = a::const a := by
apply Stream'.ext; intro n
cases n <;> rfl
#align stream.const_eq Stream'.const_eq
@[simp]
theorem tail_const (a : α) : tail (const a) = const a :=
suffices tail (a::const a) = const a by rwa [← const_eq] at this
rfl
#align stream.tail_const Stream'.tail_const
@[simp]
theorem map_const (f : α → β) (a : α) : map f (const a) = const (f a) :=
rfl
#align stream.map_const Stream'.map_const
@[simp]
theorem get_const (n : Nat) (a : α) : get (const a) n = a :=
rfl
#align stream.nth_const Stream'.get_const
@[simp]
theorem drop_const (n : Nat) (a : α) : drop n (const a) = const a :=
Stream'.ext fun _ => rfl
#align stream.drop_const Stream'.drop_const
@[simp]
theorem head_iterate (f : α → α) (a : α) : head (iterate f a) = a :=
rfl
#align stream.head_iterate Stream'.head_iterate
theorem get_succ_iterate' (n : Nat) (f : α → α) (a : α) :
get (iterate f a) (succ n) = f (get (iterate f a) n) := rfl
theorem tail_iterate (f : α → α) (a : α) : tail (iterate f a) = iterate f (f a) := by
ext n
rw [get_tail]
induction' n with n' ih
· rfl
· rw [get_succ_iterate', ih, get_succ_iterate']
#align stream.tail_iterate Stream'.tail_iterate
theorem iterate_eq (f : α → α) (a : α) : iterate f a = a::iterate f (f a) := by
rw [← Stream'.eta (iterate f a)]
rw [tail_iterate]; rfl
#align stream.iterate_eq Stream'.iterate_eq
@[simp]
theorem get_zero_iterate (f : α → α) (a : α) : get (iterate f a) 0 = a :=
rfl
#align stream.nth_zero_iterate Stream'.get_zero_iterate
theorem get_succ_iterate (n : Nat) (f : α → α) (a : α) :
get (iterate f a) (succ n) = get (iterate f (f a)) n := by rw [get_succ, tail_iterate]
#align stream.nth_succ_iterate Stream'.get_succ_iterate
section Bisim
variable (R : Stream' α → Stream' α → Prop)
/-- equivalence relation -/
local infixl:50 " ~ " => R
/-- Streams `s₁` and `s₂` are defined to be bisimulations if
their heads are equal and tails are bisimulations. -/
def IsBisimulation :=
∀ ⦃s₁ s₂⦄, s₁ ~ s₂ →
head s₁ = head s₂ ∧ tail s₁ ~ tail s₂
#align stream.is_bisimulation Stream'.IsBisimulation
theorem get_of_bisim (bisim : IsBisimulation R) :
∀ {s₁ s₂} (n), s₁ ~ s₂ → get s₁ n = get s₂ n ∧ drop (n + 1) s₁ ~ drop (n + 1) s₂
| _, _, 0, h => bisim h
| _, _, n + 1, h =>
match bisim h with
| ⟨_, trel⟩ => get_of_bisim bisim n trel
#align stream.nth_of_bisim Stream'.get_of_bisim
-- If two streams are bisimilar, then they are equal
theorem eq_of_bisim (bisim : IsBisimulation R) : ∀ {s₁ s₂}, s₁ ~ s₂ → s₁ = s₂ := fun r =>
Stream'.ext fun n => And.left (get_of_bisim R bisim n r)
#align stream.eq_of_bisim Stream'.eq_of_bisim
end Bisim
theorem bisim_simple (s₁ s₂ : Stream' α) :
head s₁ = head s₂ → s₁ = tail s₁ → s₂ = tail s₂ → s₁ = s₂ := fun hh ht₁ ht₂ =>
eq_of_bisim (fun s₁ s₂ => head s₁ = head s₂ ∧ s₁ = tail s₁ ∧ s₂ = tail s₂)
(fun s₁ s₂ ⟨h₁, h₂, h₃⟩ => by
constructor
· exact h₁
rw [← h₂, ← h₃]
(repeat' constructor) <;> assumption)
(And.intro hh (And.intro ht₁ ht₂))
#align stream.bisim_simple Stream'.bisim_simple
theorem coinduction {s₁ s₂ : Stream' α} :
head s₁ = head s₂ →
(∀ (β : Type u) (fr : Stream' α → β),
fr s₁ = fr s₂ → fr (tail s₁) = fr (tail s₂)) → s₁ = s₂ :=
fun hh ht =>
eq_of_bisim
(fun s₁ s₂ =>
head s₁ = head s₂ ∧
∀ (β : Type u) (fr : Stream' α → β), fr s₁ = fr s₂ → fr (tail s₁) = fr (tail s₂))
(fun s₁ s₂ h =>
have h₁ : head s₁ = head s₂ := And.left h
have h₂ : head (tail s₁) = head (tail s₂) := And.right h α (@head α) h₁
have h₃ :
∀ (β : Type u) (fr : Stream' α → β),
fr (tail s₁) = fr (tail s₂) → fr (tail (tail s₁)) = fr (tail (tail s₂)) :=
fun β fr => And.right h β fun s => fr (tail s)
And.intro h₁ (And.intro h₂ h₃))
(And.intro hh ht)
#align stream.coinduction Stream'.coinduction
@[simp]
theorem iterate_id (a : α) : iterate id a = const a :=
coinduction rfl fun β fr ch => by rw [tail_iterate, tail_const]; exact ch
#align stream.iterate_id Stream'.iterate_id
theorem map_iterate (f : α → α) (a : α) : iterate f (f a) = map f (iterate f a) := by
funext n
induction' n with n' ih
· rfl
· unfold map iterate get
rw [map, get] at ih
rw [iterate]
exact congrArg f ih
#align stream.map_iterate Stream'.map_iterate
section Corec
theorem corec_def (f : α → β) (g : α → α) (a : α) : corec f g a = map f (iterate g a) :=
rfl
#align stream.corec_def Stream'.corec_def
theorem corec_eq (f : α → β) (g : α → α) (a : α) : corec f g a = f a::corec f g (g a) := by
rw [corec_def, map_eq, head_iterate, tail_iterate]; rfl
#align stream.corec_eq Stream'.corec_eq
theorem corec_id_id_eq_const (a : α) : corec id id a = const a := by
rw [corec_def, map_id, iterate_id]
#align stream.corec_id_id_eq_const Stream'.corec_id_id_eq_const
theorem corec_id_f_eq_iterate (f : α → α) (a : α) : corec id f a = iterate f a :=
rfl
#align stream.corec_id_f_eq_iterate Stream'.corec_id_f_eq_iterate
end Corec
section Corec'
theorem corec'_eq (f : α → β × α) (a : α) : corec' f a = (f a).1::corec' f (f a).2 :=
corec_eq _ _ _
#align stream.corec'_eq Stream'.corec'_eq
end Corec'
theorem unfolds_eq (g : α → β) (f : α → α) (a : α) : unfolds g f a = g a::unfolds g f (f a) := by
unfold unfolds; rw [corec_eq]
#align stream.unfolds_eq Stream'.unfolds_eq
theorem get_unfolds_head_tail : ∀ (n : Nat) (s : Stream' α),
get (unfolds head tail s) n = get s n := by
intro n; induction' n with n' ih
· intro s
rfl
· intro s
rw [get_succ, get_succ, unfolds_eq, tail_cons, ih]
#align stream.nth_unfolds_head_tail Stream'.get_unfolds_head_tail
theorem unfolds_head_eq : ∀ s : Stream' α, unfolds head tail s = s := fun s =>
Stream'.ext fun n => get_unfolds_head_tail n s
#align stream.unfolds_head_eq Stream'.unfolds_head_eq
theorem interleave_eq (s₁ s₂ : Stream' α) : s₁ ⋈ s₂ = head s₁::head s₂::(tail s₁ ⋈ tail s₂) := by
let t := tail s₁ ⋈ tail s₂
show s₁ ⋈ s₂ = head s₁::head s₂::t
unfold interleave; unfold corecOn; rw [corec_eq]; dsimp; rw [corec_eq]; rfl
#align stream.interleave_eq Stream'.interleave_eq
theorem tail_interleave (s₁ s₂ : Stream' α) : tail (s₁ ⋈ s₂) = s₂ ⋈ tail s₁ := by
unfold interleave corecOn; rw [corec_eq]; rfl
#align stream.tail_interleave Stream'.tail_interleave
theorem interleave_tail_tail (s₁ s₂ : Stream' α) : tail s₁ ⋈ tail s₂ = tail (tail (s₁ ⋈ s₂)) := by
rw [interleave_eq s₁ s₂]; rfl
#align stream.interleave_tail_tail Stream'.interleave_tail_tail
theorem get_interleave_left : ∀ (n : Nat) (s₁ s₂ : Stream' α),
get (s₁ ⋈ s₂) (2 * n) = get s₁ n
| 0, s₁, s₂ => rfl
| n + 1, s₁, s₂ => by
change get (s₁ ⋈ s₂) (succ (succ (2 * n))) = get s₁ (succ n)
rw [get_succ, get_succ, interleave_eq, tail_cons, tail_cons]
rw [get_interleave_left n (tail s₁) (tail s₂)]
rfl
#align stream.nth_interleave_left Stream'.get_interleave_left
theorem get_interleave_right : ∀ (n : Nat) (s₁ s₂ : Stream' α),
get (s₁ ⋈ s₂) (2 * n + 1) = get s₂ n
| 0, s₁, s₂ => rfl
| n + 1, s₁, s₂ => by
change get (s₁ ⋈ s₂) (succ (succ (2 * n + 1))) = get s₂ (succ n)
rw [get_succ, get_succ, interleave_eq, tail_cons, tail_cons,
get_interleave_right n (tail s₁) (tail s₂)]
rfl
#align stream.nth_interleave_right Stream'.get_interleave_right
theorem mem_interleave_left {a : α} {s₁ : Stream' α} (s₂ : Stream' α) : a ∈ s₁ → a ∈ s₁ ⋈ s₂ :=
fun ⟨n, h⟩ => Exists.intro (2 * n) (by rw [h, get_interleave_left])
#align stream.mem_interleave_left Stream'.mem_interleave_left
theorem mem_interleave_right {a : α} {s₁ : Stream' α} (s₂ : Stream' α) : a ∈ s₂ → a ∈ s₁ ⋈ s₂ :=
fun ⟨n, h⟩ => Exists.intro (2 * n + 1) (by rw [h, get_interleave_right])
#align stream.mem_interleave_right Stream'.mem_interleave_right
theorem odd_eq (s : Stream' α) : odd s = even (tail s) :=
rfl
#align stream.odd_eq Stream'.odd_eq
@[simp]
theorem head_even (s : Stream' α) : head (even s) = head s :=
rfl
#align stream.head_even Stream'.head_even
theorem tail_even (s : Stream' α) : tail (even s) = even (tail (tail s)) := by
unfold even
rw [corec_eq]
rfl
#align stream.tail_even Stream'.tail_even
theorem even_cons_cons (a₁ a₂ : α) (s : Stream' α) : even (a₁::a₂::s) = a₁::even s := by
unfold even
rw [corec_eq]; rfl
#align stream.even_cons_cons Stream'.even_cons_cons
theorem even_tail (s : Stream' α) : even (tail s) = odd s :=
rfl
#align stream.even_tail Stream'.even_tail
theorem even_interleave (s₁ s₂ : Stream' α) : even (s₁ ⋈ s₂) = s₁ :=
eq_of_bisim (fun s₁' s₁ => ∃ s₂, s₁' = even (s₁ ⋈ s₂))
(fun s₁' s₁ ⟨s₂, h₁⟩ => by
rw [h₁]
constructor
· rfl
· exact ⟨tail s₂, by rw [interleave_eq, even_cons_cons, tail_cons]⟩)
(Exists.intro s₂ rfl)
#align stream.even_interleave Stream'.even_interleave
theorem interleave_even_odd (s₁ : Stream' α) : even s₁ ⋈ odd s₁ = s₁ :=
eq_of_bisim (fun s' s => s' = even s ⋈ odd s)
(fun s' s (h : s' = even s ⋈ odd s) => by
rw [h]; constructor
· rfl
· simp [odd_eq, odd_eq, tail_interleave, tail_even])
rfl
#align stream.interleave_even_odd Stream'.interleave_even_odd
theorem get_even : ∀ (n : Nat) (s : Stream' α), get (even s) n = get s (2 * n)
| 0, s => rfl
| succ n, s => by
change get (even s) (succ n) = get s (succ (succ (2 * n)))
rw [get_succ, get_succ, tail_even, get_even n]; rfl
#align stream.nth_even Stream'.get_even
theorem get_odd : ∀ (n : Nat) (s : Stream' α), get (odd s) n = get s (2 * n + 1) := fun n s => by
rw [odd_eq, get_even]; rfl
#align stream.nth_odd Stream'.get_odd
theorem mem_of_mem_even (a : α) (s : Stream' α) : a ∈ even s → a ∈ s := fun ⟨n, h⟩ =>
Exists.intro (2 * n) (by rw [h, get_even])
#align stream.mem_of_mem_even Stream'.mem_of_mem_even
theorem mem_of_mem_odd (a : α) (s : Stream' α) : a ∈ odd s → a ∈ s := fun ⟨n, h⟩ =>
Exists.intro (2 * n + 1) (by rw [h, get_odd])
#align stream.mem_of_mem_odd Stream'.mem_of_mem_odd
theorem nil_append_stream (s : Stream' α) : appendStream' [] s = s :=
rfl
#align stream.nil_append_stream Stream'.nil_append_stream
theorem cons_append_stream (a : α) (l : List α) (s : Stream' α) :
appendStream' (a::l) s = a::appendStream' l s :=
rfl
#align stream.cons_append_stream Stream'.cons_append_stream
theorem append_append_stream : ∀ (l₁ l₂ : List α) (s : Stream' α),
l₁ ++ l₂ ++ₛ s = l₁ ++ₛ (l₂ ++ₛ s)
| [], l₂, s => rfl
| List.cons a l₁, l₂, s => by
rw [List.cons_append, cons_append_stream, cons_append_stream, append_append_stream l₁]
#align stream.append_append_stream Stream'.append_append_stream
theorem map_append_stream (f : α → β) :
∀ (l : List α) (s : Stream' α), map f (l ++ₛ s) = List.map f l ++ₛ map f s
| [], s => rfl
| List.cons a l, s => by
rw [cons_append_stream, List.map_cons, map_cons, cons_append_stream, map_append_stream f l]
#align stream.map_append_stream Stream'.map_append_stream
theorem drop_append_stream : ∀ (l : List α) (s : Stream' α), drop l.length (l ++ₛ s) = s
| [], s => by rfl
| List.cons a l, s => by
rw [List.length_cons, drop_succ, cons_append_stream, tail_cons, drop_append_stream l s]
#align stream.drop_append_stream Stream'.drop_append_stream
theorem append_stream_head_tail (s : Stream' α) : [head s] ++ₛ tail s = s := by
rw [cons_append_stream, nil_append_stream, Stream'.eta]
#align stream.append_stream_head_tail Stream'.append_stream_head_tail
theorem mem_append_stream_right : ∀ {a : α} (l : List α) {s : Stream' α}, a ∈ s → a ∈ l ++ₛ s
| _, [], _, h => h
| a, List.cons _ l, s, h =>
have ih : a ∈ l ++ₛ s := mem_append_stream_right l h
mem_cons_of_mem _ ih
#align stream.mem_append_stream_right Stream'.mem_append_stream_right
theorem mem_append_stream_left : ∀ {a : α} {l : List α} (s : Stream' α), a ∈ l → a ∈ l ++ₛ s
| _, [], _, h => absurd h (List.not_mem_nil _)
| a, List.cons b l, s, h =>
Or.elim (List.eq_or_mem_of_mem_cons h) (fun aeqb : a = b => Exists.intro 0 aeqb)
fun ainl : a ∈ l => mem_cons_of_mem b (mem_append_stream_left s ainl)
#align stream.mem_append_stream_left Stream'.mem_append_stream_left
@[simp]
theorem take_zero (s : Stream' α) : take 0 s = [] :=
rfl
#align stream.take_zero Stream'.take_zero
-- This lemma used to be simp, but we removed it from the simp set because:
-- 1) It duplicates the (often large) `s` term, resulting in large tactic states.
-- 2) It conflicts with the very useful `dropLast_take` lemma below (causing nonconfluence).
theorem take_succ (n : Nat) (s : Stream' α) : take (succ n) s = head s::take n (tail s) :=
rfl
#align stream.take_succ Stream'.take_succ
@[simp] theorem take_succ_cons (n : Nat) (s : Stream' α) : take (n+1) (a::s) = a :: take n s := rfl
theorem take_succ' {s : Stream' α} : ∀ n, s.take (n+1) = s.take n ++ [s.get n]
| 0 => rfl
| n+1 => by rw [take_succ, take_succ' n, ← List.cons_append, ← take_succ, get_tail]
@[simp]
| Mathlib/Data/Stream/Init.lean | 586 | 587 | theorem length_take (n : ℕ) (s : Stream' α) : (take n s).length = n := by |
induction n generalizing s <;> simp [*, take_succ]
|
/-
Copyright (c) 2020 Riccardo Brasca. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca
-/
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Lifts
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.RingTheory.RootsOfUnity.Complex
import Mathlib.NumberTheory.ArithmeticFunction
import Mathlib.RingTheory.RootsOfUnity.Basic
import Mathlib.FieldTheory.RatFunc.AsPolynomial
#align_import ring_theory.polynomial.cyclotomic.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
/-!
# Cyclotomic polynomials.
For `n : ℕ` and an integral domain `R`, we define a modified version of the `n`-th cyclotomic
polynomial with coefficients in `R`, denoted `cyclotomic' n R`, as `∏ (X - μ)`, where `μ` varies
over the primitive `n`th roots of unity. If there is a primitive `n`th root of unity in `R` then
this the standard definition. We then define the standard cyclotomic polynomial `cyclotomic n R`
with coefficients in any ring `R`.
## Main definition
* `cyclotomic n R` : the `n`-th cyclotomic polynomial with coefficients in `R`.
## Main results
* `Polynomial.degree_cyclotomic` : The degree of `cyclotomic n` is `totient n`.
* `Polynomial.prod_cyclotomic_eq_X_pow_sub_one` : `X ^ n - 1 = ∏ (cyclotomic i)`, where `i`
divides `n`.
* `Polynomial.cyclotomic_eq_prod_X_pow_sub_one_pow_moebius` : The Möbius inversion formula for
`cyclotomic n R` over an abstract fraction field for `R[X]`.
## Implementation details
Our definition of `cyclotomic' n R` makes sense in any integral domain `R`, but the interesting
results hold if there is a primitive `n`-th root of unity in `R`. In particular, our definition is
not the standard one unless there is a primitive `n`th root of unity in `R`. For example,
`cyclotomic' 3 ℤ = 1`, since there are no primitive cube roots of unity in `ℤ`. The main example is
`R = ℂ`, we decided to work in general since the difficulties are essentially the same.
To get the standard cyclotomic polynomials, we use `unique_int_coeff_of_cycl`, with `R = ℂ`,
to get a polynomial with integer coefficients and then we map it to `R[X]`, for any ring `R`.
-/
open scoped Polynomial
noncomputable section
universe u
namespace Polynomial
section Cyclotomic'
section IsDomain
variable {R : Type*} [CommRing R] [IsDomain R]
/-- The modified `n`-th cyclotomic polynomial with coefficients in `R`, it is the usual cyclotomic
polynomial if there is a primitive `n`-th root of unity in `R`. -/
def cyclotomic' (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : R[X] :=
∏ μ ∈ primitiveRoots n R, (X - C μ)
#align polynomial.cyclotomic' Polynomial.cyclotomic'
/-- The zeroth modified cyclotomic polyomial is `1`. -/
@[simp]
theorem cyclotomic'_zero (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 0 R = 1 := by
simp only [cyclotomic', Finset.prod_empty, primitiveRoots_zero]
#align polynomial.cyclotomic'_zero Polynomial.cyclotomic'_zero
/-- The first modified cyclotomic polyomial is `X - 1`. -/
@[simp]
theorem cyclotomic'_one (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 1 R = X - 1 := by
simp only [cyclotomic', Finset.prod_singleton, RingHom.map_one,
IsPrimitiveRoot.primitiveRoots_one]
#align polynomial.cyclotomic'_one Polynomial.cyclotomic'_one
/-- The second modified cyclotomic polyomial is `X + 1` if the characteristic of `R` is not `2`. -/
@[simp]
theorem cyclotomic'_two (R : Type*) [CommRing R] [IsDomain R] (p : ℕ) [CharP R p] (hp : p ≠ 2) :
cyclotomic' 2 R = X + 1 := by
rw [cyclotomic']
have prim_root_two : primitiveRoots 2 R = {(-1 : R)} := by
simp only [Finset.eq_singleton_iff_unique_mem, mem_primitiveRoots two_pos]
exact ⟨IsPrimitiveRoot.neg_one p hp, fun x => IsPrimitiveRoot.eq_neg_one_of_two_right⟩
simp only [prim_root_two, Finset.prod_singleton, RingHom.map_neg, RingHom.map_one, sub_neg_eq_add]
#align polynomial.cyclotomic'_two Polynomial.cyclotomic'_two
/-- `cyclotomic' n R` is monic. -/
theorem cyclotomic'.monic (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] :
(cyclotomic' n R).Monic :=
monic_prod_of_monic _ _ fun _ _ => monic_X_sub_C _
#align polynomial.cyclotomic'.monic Polynomial.cyclotomic'.monic
/-- `cyclotomic' n R` is different from `0`. -/
theorem cyclotomic'_ne_zero (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' n R ≠ 0 :=
(cyclotomic'.monic n R).ne_zero
#align polynomial.cyclotomic'_ne_zero Polynomial.cyclotomic'_ne_zero
/-- The natural degree of `cyclotomic' n R` is `totient n` if there is a primitive root of
unity in `R`. -/
theorem natDegree_cyclotomic' {ζ : R} {n : ℕ} (h : IsPrimitiveRoot ζ n) :
(cyclotomic' n R).natDegree = Nat.totient n := by
rw [cyclotomic']
rw [natDegree_prod (primitiveRoots n R) fun z : R => X - C z]
· simp only [IsPrimitiveRoot.card_primitiveRoots h, mul_one, natDegree_X_sub_C, Nat.cast_id,
Finset.sum_const, nsmul_eq_mul]
intro z _
exact X_sub_C_ne_zero z
#align polynomial.nat_degree_cyclotomic' Polynomial.natDegree_cyclotomic'
/-- The degree of `cyclotomic' n R` is `totient n` if there is a primitive root of unity in `R`. -/
theorem degree_cyclotomic' {ζ : R} {n : ℕ} (h : IsPrimitiveRoot ζ n) :
(cyclotomic' n R).degree = Nat.totient n := by
simp only [degree_eq_natDegree (cyclotomic'_ne_zero n R), natDegree_cyclotomic' h]
#align polynomial.degree_cyclotomic' Polynomial.degree_cyclotomic'
/-- The roots of `cyclotomic' n R` are the primitive `n`-th roots of unity. -/
theorem roots_of_cyclotomic (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] :
(cyclotomic' n R).roots = (primitiveRoots n R).val := by
rw [cyclotomic']; exact roots_prod_X_sub_C (primitiveRoots n R)
#align polynomial.roots_of_cyclotomic Polynomial.roots_of_cyclotomic
/-- If there is a primitive `n`th root of unity in `K`, then `X ^ n - 1 = ∏ (X - μ)`, where `μ`
varies over the `n`-th roots of unity. -/
theorem X_pow_sub_one_eq_prod {ζ : R} {n : ℕ} (hpos : 0 < n) (h : IsPrimitiveRoot ζ n) :
X ^ n - 1 = ∏ ζ ∈ nthRootsFinset n R, (X - C ζ) := by
classical
rw [nthRootsFinset, ← Multiset.toFinset_eq (IsPrimitiveRoot.nthRoots_one_nodup h)]
simp only [Finset.prod_mk, RingHom.map_one]
rw [nthRoots]
have hmonic : (X ^ n - C (1 : R)).Monic := monic_X_pow_sub_C (1 : R) (ne_of_lt hpos).symm
symm
apply prod_multiset_X_sub_C_of_monic_of_roots_card_eq hmonic
rw [@natDegree_X_pow_sub_C R _ _ n 1, ← nthRoots]
exact IsPrimitiveRoot.card_nthRoots_one h
set_option linter.uppercaseLean3 false in
#align polynomial.X_pow_sub_one_eq_prod Polynomial.X_pow_sub_one_eq_prod
end IsDomain
section Field
variable {K : Type*} [Field K]
/-- `cyclotomic' n K` splits. -/
theorem cyclotomic'_splits (n : ℕ) : Splits (RingHom.id K) (cyclotomic' n K) := by
apply splits_prod (RingHom.id K)
intro z _
simp only [splits_X_sub_C (RingHom.id K)]
#align polynomial.cyclotomic'_splits Polynomial.cyclotomic'_splits
/-- If there is a primitive `n`-th root of unity in `K`, then `X ^ n - 1` splits. -/
theorem X_pow_sub_one_splits {ζ : K} {n : ℕ} (h : IsPrimitiveRoot ζ n) :
Splits (RingHom.id K) (X ^ n - C (1 : K)) := by
rw [splits_iff_card_roots, ← nthRoots, IsPrimitiveRoot.card_nthRoots_one h, natDegree_X_pow_sub_C]
set_option linter.uppercaseLean3 false in
#align polynomial.X_pow_sub_one_splits Polynomial.X_pow_sub_one_splits
/-- If there is a primitive `n`-th root of unity in `K`, then
`∏ i ∈ Nat.divisors n, cyclotomic' i K = X ^ n - 1`. -/
theorem prod_cyclotomic'_eq_X_pow_sub_one {K : Type*} [CommRing K] [IsDomain K] {ζ : K} {n : ℕ}
(hpos : 0 < n) (h : IsPrimitiveRoot ζ n) :
∏ i ∈ Nat.divisors n, cyclotomic' i K = X ^ n - 1 := by
classical
have hd : (n.divisors : Set ℕ).PairwiseDisjoint fun k => primitiveRoots k K :=
fun x _ y _ hne => IsPrimitiveRoot.disjoint hne
simp only [X_pow_sub_one_eq_prod hpos h, cyclotomic', ← Finset.prod_biUnion hd,
h.nthRoots_one_eq_biUnion_primitiveRoots]
set_option linter.uppercaseLean3 false in
#align polynomial.prod_cyclotomic'_eq_X_pow_sub_one Polynomial.prod_cyclotomic'_eq_X_pow_sub_one
/-- If there is a primitive `n`-th root of unity in `K`, then
`cyclotomic' n K = (X ^ k - 1) /ₘ (∏ i ∈ Nat.properDivisors k, cyclotomic' i K)`. -/
theorem cyclotomic'_eq_X_pow_sub_one_div {K : Type*} [CommRing K] [IsDomain K] {ζ : K} {n : ℕ}
(hpos : 0 < n) (h : IsPrimitiveRoot ζ n) :
cyclotomic' n K = (X ^ n - 1) /ₘ ∏ i ∈ Nat.properDivisors n, cyclotomic' i K := by
rw [← prod_cyclotomic'_eq_X_pow_sub_one hpos h, ← Nat.cons_self_properDivisors hpos.ne',
Finset.prod_cons]
have prod_monic : (∏ i ∈ Nat.properDivisors n, cyclotomic' i K).Monic := by
apply monic_prod_of_monic
intro i _
exact cyclotomic'.monic i K
rw [(div_modByMonic_unique (cyclotomic' n K) 0 prod_monic _).1]
simp only [degree_zero, zero_add]
refine ⟨by rw [mul_comm], ?_⟩
rw [bot_lt_iff_ne_bot]
intro h
exact Monic.ne_zero prod_monic (degree_eq_bot.1 h)
set_option linter.uppercaseLean3 false in
#align polynomial.cyclotomic'_eq_X_pow_sub_one_div Polynomial.cyclotomic'_eq_X_pow_sub_one_div
/-- If there is a primitive `n`-th root of unity in `K`, then `cyclotomic' n K` comes from a
monic polynomial with integer coefficients. -/
theorem int_coeff_of_cyclotomic' {K : Type*} [CommRing K] [IsDomain K] {ζ : K} {n : ℕ}
(h : IsPrimitiveRoot ζ n) : ∃ P : ℤ[X], map (Int.castRingHom K) P =
cyclotomic' n K ∧ P.degree = (cyclotomic' n K).degree ∧ P.Monic := by
refine lifts_and_degree_eq_and_monic ?_ (cyclotomic'.monic n K)
induction' n using Nat.strong_induction_on with k ihk generalizing ζ
rcases k.eq_zero_or_pos with (rfl | hpos)
· use 1
simp only [cyclotomic'_zero, coe_mapRingHom, Polynomial.map_one]
let B : K[X] := ∏ i ∈ Nat.properDivisors k, cyclotomic' i K
have Bmo : B.Monic := by
apply monic_prod_of_monic
intro i _
exact cyclotomic'.monic i K
have Bint : B ∈ lifts (Int.castRingHom K) := by
refine Subsemiring.prod_mem (lifts (Int.castRingHom K)) ?_
intro x hx
have xsmall := (Nat.mem_properDivisors.1 hx).2
obtain ⟨d, hd⟩ := (Nat.mem_properDivisors.1 hx).1
rw [mul_comm] at hd
exact ihk x xsmall (h.pow hpos hd)
replace Bint := lifts_and_degree_eq_and_monic Bint Bmo
obtain ⟨B₁, hB₁, _, hB₁mo⟩ := Bint
let Q₁ : ℤ[X] := (X ^ k - 1) /ₘ B₁
have huniq : 0 + B * cyclotomic' k K = X ^ k - 1 ∧ (0 : K[X]).degree < B.degree := by
constructor
· rw [zero_add, mul_comm, ← prod_cyclotomic'_eq_X_pow_sub_one hpos h, ←
Nat.cons_self_properDivisors hpos.ne', Finset.prod_cons]
· simpa only [degree_zero, bot_lt_iff_ne_bot, Ne, degree_eq_bot] using Bmo.ne_zero
replace huniq := div_modByMonic_unique (cyclotomic' k K) (0 : K[X]) Bmo huniq
simp only [lifts, RingHom.mem_rangeS]
use Q₁
rw [coe_mapRingHom, map_divByMonic (Int.castRingHom K) hB₁mo, hB₁, ← huniq.1]
simp
#align polynomial.int_coeff_of_cyclotomic' Polynomial.int_coeff_of_cyclotomic'
/-- If `K` is of characteristic `0` and there is a primitive `n`-th root of unity in `K`,
then `cyclotomic n K` comes from a unique polynomial with integer coefficients. -/
theorem unique_int_coeff_of_cycl {K : Type*} [CommRing K] [IsDomain K] [CharZero K] {ζ : K}
{n : ℕ+} (h : IsPrimitiveRoot ζ n) :
∃! P : ℤ[X], map (Int.castRingHom K) P = cyclotomic' n K := by
obtain ⟨P, hP⟩ := int_coeff_of_cyclotomic' h
refine ⟨P, hP.1, fun Q hQ => ?_⟩
apply map_injective (Int.castRingHom K) Int.cast_injective
rw [hP.1, hQ]
#align polynomial.unique_int_coeff_of_cycl Polynomial.unique_int_coeff_of_cycl
end Field
end Cyclotomic'
section Cyclotomic
/-- The `n`-th cyclotomic polynomial with coefficients in `R`. -/
def cyclotomic (n : ℕ) (R : Type*) [Ring R] : R[X] :=
if h : n = 0 then 1
else map (Int.castRingHom R) (int_coeff_of_cyclotomic' (Complex.isPrimitiveRoot_exp n h)).choose
#align polynomial.cyclotomic Polynomial.cyclotomic
theorem int_cyclotomic_rw {n : ℕ} (h : n ≠ 0) :
cyclotomic n ℤ = (int_coeff_of_cyclotomic' (Complex.isPrimitiveRoot_exp n h)).choose := by
simp only [cyclotomic, h, dif_neg, not_false_iff]
ext i
simp only [coeff_map, Int.cast_id, eq_intCast]
#align polynomial.int_cyclotomic_rw Polynomial.int_cyclotomic_rw
/-- `cyclotomic n R` comes from `cyclotomic n ℤ`. -/
theorem map_cyclotomic_int (n : ℕ) (R : Type*) [Ring R] :
map (Int.castRingHom R) (cyclotomic n ℤ) = cyclotomic n R := by
by_cases hzero : n = 0
· simp only [hzero, cyclotomic, dif_pos, Polynomial.map_one]
simp [cyclotomic, hzero]
#align polynomial.map_cyclotomic_int Polynomial.map_cyclotomic_int
theorem int_cyclotomic_spec (n : ℕ) :
map (Int.castRingHom ℂ) (cyclotomic n ℤ) = cyclotomic' n ℂ ∧
(cyclotomic n ℤ).degree = (cyclotomic' n ℂ).degree ∧ (cyclotomic n ℤ).Monic := by
by_cases hzero : n = 0
· simp only [hzero, cyclotomic, degree_one, monic_one, cyclotomic'_zero, dif_pos,
eq_self_iff_true, Polynomial.map_one, and_self_iff]
rw [int_cyclotomic_rw hzero]
exact (int_coeff_of_cyclotomic' (Complex.isPrimitiveRoot_exp n hzero)).choose_spec
#align polynomial.int_cyclotomic_spec Polynomial.int_cyclotomic_spec
theorem int_cyclotomic_unique {n : ℕ} {P : ℤ[X]} (h : map (Int.castRingHom ℂ) P = cyclotomic' n ℂ) :
P = cyclotomic n ℤ := by
apply map_injective (Int.castRingHom ℂ) Int.cast_injective
rw [h, (int_cyclotomic_spec n).1]
#align polynomial.int_cyclotomic_unique Polynomial.int_cyclotomic_unique
/-- The definition of `cyclotomic n R` commutes with any ring homomorphism. -/
@[simp]
theorem map_cyclotomic (n : ℕ) {R S : Type*} [Ring R] [Ring S] (f : R →+* S) :
map f (cyclotomic n R) = cyclotomic n S := by
rw [← map_cyclotomic_int n R, ← map_cyclotomic_int n S, map_map]
have : Subsingleton (ℤ →+* S) := inferInstance
congr!
#align polynomial.map_cyclotomic Polynomial.map_cyclotomic
theorem cyclotomic.eval_apply {R S : Type*} (q : R) (n : ℕ) [Ring R] [Ring S] (f : R →+* S) :
eval (f q) (cyclotomic n S) = f (eval q (cyclotomic n R)) := by
rw [← map_cyclotomic n f, eval_map, eval₂_at_apply]
#align polynomial.cyclotomic.eval_apply Polynomial.cyclotomic.eval_apply
/-- The zeroth cyclotomic polyomial is `1`. -/
@[simp]
theorem cyclotomic_zero (R : Type*) [Ring R] : cyclotomic 0 R = 1 := by
simp only [cyclotomic, dif_pos]
#align polynomial.cyclotomic_zero Polynomial.cyclotomic_zero
/-- The first cyclotomic polyomial is `X - 1`. -/
@[simp]
theorem cyclotomic_one (R : Type*) [Ring R] : cyclotomic 1 R = X - 1 := by
have hspec : map (Int.castRingHom ℂ) (X - 1) = cyclotomic' 1 ℂ := by
simp only [cyclotomic'_one, PNat.one_coe, map_X, Polynomial.map_one, Polynomial.map_sub]
symm
rw [← map_cyclotomic_int, ← int_cyclotomic_unique hspec]
simp only [map_X, Polynomial.map_one, Polynomial.map_sub]
#align polynomial.cyclotomic_one Polynomial.cyclotomic_one
/-- `cyclotomic n` is monic. -/
theorem cyclotomic.monic (n : ℕ) (R : Type*) [Ring R] : (cyclotomic n R).Monic := by
rw [← map_cyclotomic_int]
exact (int_cyclotomic_spec n).2.2.map _
#align polynomial.cyclotomic.monic Polynomial.cyclotomic.monic
/-- `cyclotomic n` is primitive. -/
theorem cyclotomic.isPrimitive (n : ℕ) (R : Type*) [CommRing R] : (cyclotomic n R).IsPrimitive :=
(cyclotomic.monic n R).isPrimitive
#align polynomial.cyclotomic.is_primitive Polynomial.cyclotomic.isPrimitive
/-- `cyclotomic n R` is different from `0`. -/
theorem cyclotomic_ne_zero (n : ℕ) (R : Type*) [Ring R] [Nontrivial R] : cyclotomic n R ≠ 0 :=
(cyclotomic.monic n R).ne_zero
#align polynomial.cyclotomic_ne_zero Polynomial.cyclotomic_ne_zero
/-- The degree of `cyclotomic n` is `totient n`. -/
theorem degree_cyclotomic (n : ℕ) (R : Type*) [Ring R] [Nontrivial R] :
(cyclotomic n R).degree = Nat.totient n := by
rw [← map_cyclotomic_int]
rw [degree_map_eq_of_leadingCoeff_ne_zero (Int.castRingHom R) _]
· cases' n with k
· simp only [cyclotomic, degree_one, dif_pos, Nat.totient_zero, CharP.cast_eq_zero]
rw [← degree_cyclotomic' (Complex.isPrimitiveRoot_exp k.succ (Nat.succ_ne_zero k))]
exact (int_cyclotomic_spec k.succ).2.1
simp only [(int_cyclotomic_spec n).right.right, eq_intCast, Monic.leadingCoeff, Int.cast_one,
Ne, not_false_iff, one_ne_zero]
#align polynomial.degree_cyclotomic Polynomial.degree_cyclotomic
/-- The natural degree of `cyclotomic n` is `totient n`. -/
theorem natDegree_cyclotomic (n : ℕ) (R : Type*) [Ring R] [Nontrivial R] :
(cyclotomic n R).natDegree = Nat.totient n := by
rw [natDegree, degree_cyclotomic]; norm_cast
#align polynomial.nat_degree_cyclotomic Polynomial.natDegree_cyclotomic
/-- The degree of `cyclotomic n R` is positive. -/
| Mathlib/RingTheory/Polynomial/Cyclotomic/Basic.lean | 355 | 357 | theorem degree_cyclotomic_pos (n : ℕ) (R : Type*) (hpos : 0 < n) [Ring R] [Nontrivial R] :
0 < (cyclotomic n R).degree := by |
rwa [degree_cyclotomic n R, Nat.cast_pos, Nat.totient_pos]
|
/-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.CharP.Pi
import Mathlib.Algebra.CharP.Quotient
import Mathlib.Algebra.CharP.Subring
import Mathlib.Algebra.Ring.Pi
import Mathlib.Analysis.SpecialFunctions.Pow.NNReal
import Mathlib.FieldTheory.Perfect
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.Algebra.Ring.Subring.Basic
import Mathlib.RingTheory.Valuation.Integers
#align_import ring_theory.perfection from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8"
/-!
# Ring Perfection and Tilt
In this file we define the perfection of a ring of characteristic p, and the tilt of a field
given a valuation to `ℝ≥0`.
## TODO
Define the valuation on the tilt, and define a characteristic predicate for the tilt.
-/
universe u₁ u₂ u₃ u₄
open scoped NNReal
/-- The perfection of a monoid `M`, defined to be the projective limit of `M`
using the `p`-th power maps `M → M` indexed by the natural numbers, implemented as
`{ f : ℕ → M | ∀ n, f (n + 1) ^ p = f n }`. -/
def Monoid.perfection (M : Type u₁) [CommMonoid M] (p : ℕ) : Submonoid (ℕ → M) where
carrier := { f | ∀ n, f (n + 1) ^ p = f n }
one_mem' _ := one_pow _
mul_mem' hf hg n := (mul_pow _ _ _).trans <| congr_arg₂ _ (hf n) (hg n)
#align monoid.perfection Monoid.perfection
/-- The perfection of a ring `R` with characteristic `p`, as a subsemiring,
defined to be the projective limit of `R` using the Frobenius maps `R → R`
indexed by the natural numbers, implemented as `{ f : ℕ → R | ∀ n, f (n + 1) ^ p = f n }`. -/
def Ring.perfectionSubsemiring (R : Type u₁) [CommSemiring R] (p : ℕ) [hp : Fact p.Prime]
[CharP R p] : Subsemiring (ℕ → R) :=
{ Monoid.perfection R p with
zero_mem' := fun _ ↦ zero_pow hp.1.ne_zero
add_mem' := fun hf hg n => (frobenius_add R p _ _).trans <| congr_arg₂ _ (hf n) (hg n) }
#align ring.perfection_subsemiring Ring.perfectionSubsemiring
/-- The perfection of a ring `R` with characteristic `p`, as a subring,
defined to be the projective limit of `R` using the Frobenius maps `R → R`
indexed by the natural numbers, implemented as `{ f : ℕ → R | ∀ n, f (n + 1) ^ p = f n }`. -/
def Ring.perfectionSubring (R : Type u₁) [CommRing R] (p : ℕ) [hp : Fact p.Prime] [CharP R p] :
Subring (ℕ → R) :=
(Ring.perfectionSubsemiring R p).toSubring fun n => by
simp_rw [← frobenius_def, Pi.neg_apply, Pi.one_apply, RingHom.map_neg, RingHom.map_one]
#align ring.perfection_subring Ring.perfectionSubring
/-- The perfection of a ring `R` with characteristic `p`,
defined to be the projective limit of `R` using the Frobenius maps `R → R`
indexed by the natural numbers, implemented as `{f : ℕ → R // ∀ n, f (n + 1) ^ p = f n}`. -/
def Ring.Perfection (R : Type u₁) [CommSemiring R] (p : ℕ) : Type u₁ :=
{ f // ∀ n : ℕ, (f : ℕ → R) (n + 1) ^ p = f n }
#align ring.perfection Ring.Perfection
namespace Perfection
variable (R : Type u₁) [CommSemiring R] (p : ℕ) [hp : Fact p.Prime] [CharP R p]
instance commSemiring : CommSemiring (Ring.Perfection R p) :=
(Ring.perfectionSubsemiring R p).toCommSemiring
#align perfection.ring.perfection.comm_semiring Perfection.commSemiring
instance charP : CharP (Ring.Perfection R p) p :=
CharP.subsemiring (ℕ → R) p (Ring.perfectionSubsemiring R p)
#align perfection.char_p Perfection.charP
instance ring (R : Type u₁) [CommRing R] [CharP R p] : Ring (Ring.Perfection R p) :=
(Ring.perfectionSubring R p).toRing
#align perfection.ring Perfection.ring
instance commRing (R : Type u₁) [CommRing R] [CharP R p] : CommRing (Ring.Perfection R p) :=
(Ring.perfectionSubring R p).toCommRing
#align perfection.comm_ring Perfection.commRing
instance : Inhabited (Ring.Perfection R p) := ⟨0⟩
/-- The `n`-th coefficient of an element of the perfection. -/
def coeff (n : ℕ) : Ring.Perfection R p →+* R where
toFun f := f.1 n
map_one' := rfl
map_mul' _ _ := rfl
map_zero' := rfl
map_add' _ _ := rfl
#align perfection.coeff Perfection.coeff
variable {R p}
@[ext]
theorem ext {f g : Ring.Perfection R p} (h : ∀ n, coeff R p n f = coeff R p n g) : f = g :=
Subtype.eq <| funext h
#align perfection.ext Perfection.ext
variable (R p)
/-- The `p`-th root of an element of the perfection. -/
def pthRoot : Ring.Perfection R p →+* Ring.Perfection R p where
toFun f := ⟨fun n => coeff R p (n + 1) f, fun _ => f.2 _⟩
map_one' := rfl
map_mul' _ _ := rfl
map_zero' := rfl
map_add' _ _ := rfl
#align perfection.pth_root Perfection.pthRoot
variable {R p}
@[simp]
theorem coeff_mk (f : ℕ → R) (hf) (n : ℕ) : coeff R p n ⟨f, hf⟩ = f n := rfl
#align perfection.coeff_mk Perfection.coeff_mk
theorem coeff_pthRoot (f : Ring.Perfection R p) (n : ℕ) :
coeff R p n (pthRoot R p f) = coeff R p (n + 1) f := rfl
#align perfection.coeff_pth_root Perfection.coeff_pthRoot
theorem coeff_pow_p (f : Ring.Perfection R p) (n : ℕ) :
coeff R p (n + 1) (f ^ p) = coeff R p n f := by rw [RingHom.map_pow]; exact f.2 n
#align perfection.coeff_pow_p Perfection.coeff_pow_p
theorem coeff_pow_p' (f : Ring.Perfection R p) (n : ℕ) : coeff R p (n + 1) f ^ p = coeff R p n f :=
f.2 n
#align perfection.coeff_pow_p' Perfection.coeff_pow_p'
| Mathlib/RingTheory/Perfection.lean | 137 | 138 | theorem coeff_frobenius (f : Ring.Perfection R p) (n : ℕ) :
coeff R p (n + 1) (frobenius _ p f) = coeff R p n f := by | apply coeff_pow_p f n
|
/-
Copyright (c) 2022 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Topology.ContinuousFunction.Bounded
import Mathlib.Topology.ContinuousFunction.CocompactMap
#align_import topology.continuous_function.zero_at_infty from "leanprover-community/mathlib"@"ba5ff5ad5d120fb0ef094ad2994967e9bfaf5112"
/-!
# Continuous functions vanishing at infinity
The type of continuous functions vanishing at infinity. When the domain is compact
`C(α, β) ≃ C₀(α, β)` via the identity map. When the codomain is a metric space, every continuous
map which vanishes at infinity is a bounded continuous function. When the domain is a locally
compact space, this type has nice properties.
## TODO
* Create more intances of algebraic structures (e.g., `NonUnitalSemiring`) once the necessary
type classes (e.g., `TopologicalRing`) are sufficiently generalized.
* Relate the unitization of `C₀(α, β)` to the Alexandroff compactification.
-/
universe u v w
variable {F : Type*} {α : Type u} {β : Type v} {γ : Type w} [TopologicalSpace α]
open BoundedContinuousFunction Topology Bornology
open Filter Metric
/-- `C₀(α, β)` is the type of continuous functions `α → β` which vanish at infinity from a
topological space to a metric space with a zero element.
When possible, instead of parametrizing results over `(f : C₀(α, β))`,
you should parametrize over `(F : Type*) [ZeroAtInftyContinuousMapClass F α β] (f : F)`.
When you extend this structure, make sure to extend `ZeroAtInftyContinuousMapClass`. -/
structure ZeroAtInftyContinuousMap (α : Type u) (β : Type v) [TopologicalSpace α] [Zero β]
[TopologicalSpace β] extends ContinuousMap α β : Type max u v where
/-- The function tends to zero along the `cocompact` filter. -/
zero_at_infty' : Tendsto toFun (cocompact α) (𝓝 0)
#align zero_at_infty_continuous_map ZeroAtInftyContinuousMap
@[inherit_doc]
scoped[ZeroAtInfty] notation (priority := 2000) "C₀(" α ", " β ")" => ZeroAtInftyContinuousMap α β
@[inherit_doc]
scoped[ZeroAtInfty] notation α " →C₀ " β => ZeroAtInftyContinuousMap α β
open ZeroAtInfty
section
/-- `ZeroAtInftyContinuousMapClass F α β` states that `F` is a type of continuous maps which
vanish at infinity.
You should also extend this typeclass when you extend `ZeroAtInftyContinuousMap`. -/
class ZeroAtInftyContinuousMapClass (F : Type*) (α β : outParam Type*) [TopologicalSpace α]
[Zero β] [TopologicalSpace β] [FunLike F α β] extends ContinuousMapClass F α β : Prop where
/-- Each member of the class tends to zero along the `cocompact` filter. -/
zero_at_infty (f : F) : Tendsto f (cocompact α) (𝓝 0)
#align zero_at_infty_continuous_map_class ZeroAtInftyContinuousMapClass
end
export ZeroAtInftyContinuousMapClass (zero_at_infty)
namespace ZeroAtInftyContinuousMap
section Basics
variable [TopologicalSpace β] [Zero β] [FunLike F α β] [ZeroAtInftyContinuousMapClass F α β]
instance instFunLike : FunLike C₀(α, β) α β where
coe f := f.toFun
coe_injective' f g h := by
obtain ⟨⟨_, _⟩, _⟩ := f
obtain ⟨⟨_, _⟩, _⟩ := g
congr
instance instZeroAtInftyContinuousMapClass : ZeroAtInftyContinuousMapClass C₀(α, β) α β where
map_continuous f := f.continuous_toFun
zero_at_infty f := f.zero_at_infty'
instance instCoeTC : CoeTC F C₀(α, β) :=
⟨fun f =>
{ toFun := f
continuous_toFun := map_continuous f
zero_at_infty' := zero_at_infty f }⟩
@[simp]
theorem coe_toContinuousMap (f : C₀(α, β)) : (f.toContinuousMap : α → β) = f :=
rfl
#align zero_at_infty_continuous_map.coe_to_continuous_fun ZeroAtInftyContinuousMap.coe_toContinuousMap
@[ext]
theorem ext {f g : C₀(α, β)} (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext _ _ h
#align zero_at_infty_continuous_map.ext ZeroAtInftyContinuousMap.ext
/-- Copy of a `ZeroAtInftyContinuousMap` with a new `toFun` equal to the old one. Useful
to fix definitional equalities. -/
protected def copy (f : C₀(α, β)) (f' : α → β) (h : f' = f) : C₀(α, β) where
toFun := f'
continuous_toFun := by
rw [h]
exact f.continuous_toFun
zero_at_infty' := by
simp_rw [h]
exact f.zero_at_infty'
#align zero_at_infty_continuous_map.copy ZeroAtInftyContinuousMap.copy
@[simp]
theorem coe_copy (f : C₀(α, β)) (f' : α → β) (h : f' = f) : ⇑(f.copy f' h) = f' :=
rfl
#align zero_at_infty_continuous_map.coe_copy ZeroAtInftyContinuousMap.coe_copy
theorem copy_eq (f : C₀(α, β)) (f' : α → β) (h : f' = f) : f.copy f' h = f :=
DFunLike.ext' h
#align zero_at_infty_continuous_map.copy_eq ZeroAtInftyContinuousMap.copy_eq
theorem eq_of_empty [IsEmpty α] (f g : C₀(α, β)) : f = g :=
ext <| IsEmpty.elim ‹_›
#align zero_at_infty_continuous_map.eq_of_empty ZeroAtInftyContinuousMap.eq_of_empty
/-- A continuous function on a compact space is automatically a continuous function vanishing at
infinity. -/
@[simps]
def ContinuousMap.liftZeroAtInfty [CompactSpace α] : C(α, β) ≃ C₀(α, β) where
toFun f :=
{ toFun := f
continuous_toFun := f.continuous
zero_at_infty' := by simp }
invFun f := f
left_inv f := by
ext
rfl
right_inv f := by
ext
rfl
#align zero_at_infty_continuous_map.continuous_map.lift_zero_at_infty ZeroAtInftyContinuousMap.ContinuousMap.liftZeroAtInfty
/-- A continuous function on a compact space is automatically a continuous function vanishing at
infinity. This is not an instance to avoid type class loops. -/
lemma zeroAtInftyContinuousMapClass.ofCompact {G : Type*} [FunLike G α β]
[ContinuousMapClass G α β] [CompactSpace α] : ZeroAtInftyContinuousMapClass G α β where
map_continuous := map_continuous
zero_at_infty := by simp
#align zero_at_infty_continuous_map.zero_at_infty_continuous_map_class.of_compact ZeroAtInftyContinuousMap.zeroAtInftyContinuousMapClass.ofCompact
end Basics
/-! ### Algebraic structure
Whenever `β` has suitable algebraic structure and a compatible topological structure, then
`C₀(α, β)` inherits a corresponding algebraic structure. The primary exception to this is that
`C₀(α, β)` will not have a multiplicative identity.
-/
section AlgebraicStructure
variable [TopologicalSpace β] (x : α)
instance instZero [Zero β] : Zero C₀(α, β) :=
⟨⟨0, tendsto_const_nhds⟩⟩
instance instInhabited [Zero β] : Inhabited C₀(α, β) :=
⟨0⟩
@[simp]
theorem coe_zero [Zero β] : ⇑(0 : C₀(α, β)) = 0 :=
rfl
#align zero_at_infty_continuous_map.coe_zero ZeroAtInftyContinuousMap.coe_zero
theorem zero_apply [Zero β] : (0 : C₀(α, β)) x = 0 :=
rfl
#align zero_at_infty_continuous_map.zero_apply ZeroAtInftyContinuousMap.zero_apply
instance instMul [MulZeroClass β] [ContinuousMul β] : Mul C₀(α, β) :=
⟨fun f g =>
⟨f * g, by simpa only [mul_zero] using (zero_at_infty f).mul (zero_at_infty g)⟩⟩
@[simp]
theorem coe_mul [MulZeroClass β] [ContinuousMul β] (f g : C₀(α, β)) : ⇑(f * g) = f * g :=
rfl
#align zero_at_infty_continuous_map.coe_mul ZeroAtInftyContinuousMap.coe_mul
theorem mul_apply [MulZeroClass β] [ContinuousMul β] (f g : C₀(α, β)) : (f * g) x = f x * g x :=
rfl
#align zero_at_infty_continuous_map.mul_apply ZeroAtInftyContinuousMap.mul_apply
instance instMulZeroClass [MulZeroClass β] [ContinuousMul β] : MulZeroClass C₀(α, β) :=
DFunLike.coe_injective.mulZeroClass _ coe_zero coe_mul
instance instSemigroupWithZero [SemigroupWithZero β] [ContinuousMul β] :
SemigroupWithZero C₀(α, β) :=
DFunLike.coe_injective.semigroupWithZero _ coe_zero coe_mul
instance instAdd [AddZeroClass β] [ContinuousAdd β] : Add C₀(α, β) :=
⟨fun f g => ⟨f + g, by simpa only [add_zero] using (zero_at_infty f).add (zero_at_infty g)⟩⟩
@[simp]
theorem coe_add [AddZeroClass β] [ContinuousAdd β] (f g : C₀(α, β)) : ⇑(f + g) = f + g :=
rfl
#align zero_at_infty_continuous_map.coe_add ZeroAtInftyContinuousMap.coe_add
theorem add_apply [AddZeroClass β] [ContinuousAdd β] (f g : C₀(α, β)) : (f + g) x = f x + g x :=
rfl
#align zero_at_infty_continuous_map.add_apply ZeroAtInftyContinuousMap.add_apply
instance instAddZeroClass [AddZeroClass β] [ContinuousAdd β] : AddZeroClass C₀(α, β) :=
DFunLike.coe_injective.addZeroClass _ coe_zero coe_add
instance instSMul [Zero β] {R : Type*} [Zero R] [SMulWithZero R β] [ContinuousConstSMul R β] :
SMul R C₀(α, β) :=
-- Porting note: Original version didn't have `Continuous.const_smul f.continuous r`
⟨fun r f => ⟨⟨r • ⇑f, Continuous.const_smul f.continuous r⟩,
by simpa [smul_zero] using (zero_at_infty f).const_smul r⟩⟩
#align zero_at_infty_continuous_map.has_nat_scalar ZeroAtInftyContinuousMap.instSMul
#align zero_at_infty_continuous_map.has_int_scalar ZeroAtInftyContinuousMap.instSMul
@[simp, norm_cast]
theorem coe_smul [Zero β] {R : Type*} [Zero R] [SMulWithZero R β] [ContinuousConstSMul R β] (r : R)
(f : C₀(α, β)) : ⇑(r • f) = r • ⇑f :=
rfl
#align zero_at_infty_continuous_map.coe_smul ZeroAtInftyContinuousMap.coe_smul
#align zero_at_infty_continuous_map.coe_nsmul_rec ZeroAtInftyContinuousMap.coe_smul
#align zero_at_infty_continuous_map.coe_zsmul_rec ZeroAtInftyContinuousMap.coe_smul
theorem smul_apply [Zero β] {R : Type*} [Zero R] [SMulWithZero R β] [ContinuousConstSMul R β]
(r : R) (f : C₀(α, β)) (x : α) : (r • f) x = r • f x :=
rfl
#align zero_at_infty_continuous_map.smul_apply ZeroAtInftyContinuousMap.smul_apply
section AddMonoid
variable [AddMonoid β] [ContinuousAdd β] (f g : C₀(α, β))
instance instAddMonoid : AddMonoid C₀(α, β) :=
DFunLike.coe_injective.addMonoid _ coe_zero coe_add fun _ _ => rfl
end AddMonoid
instance instAddCommMonoid [AddCommMonoid β] [ContinuousAdd β] : AddCommMonoid C₀(α, β) :=
DFunLike.coe_injective.addCommMonoid _ coe_zero coe_add fun _ _ => rfl
section AddGroup
variable [AddGroup β] [TopologicalAddGroup β] (f g : C₀(α, β))
instance instNeg : Neg C₀(α, β) :=
⟨fun f => ⟨-f, by simpa only [neg_zero] using (zero_at_infty f).neg⟩⟩
@[simp]
theorem coe_neg : ⇑(-f) = -f :=
rfl
#align zero_at_infty_continuous_map.coe_neg ZeroAtInftyContinuousMap.coe_neg
theorem neg_apply : (-f) x = -f x :=
rfl
#align zero_at_infty_continuous_map.neg_apply ZeroAtInftyContinuousMap.neg_apply
instance instSub : Sub C₀(α, β) :=
⟨fun f g => ⟨f - g, by simpa only [sub_zero] using (zero_at_infty f).sub (zero_at_infty g)⟩⟩
@[simp]
theorem coe_sub : ⇑(f - g) = f - g :=
rfl
#align zero_at_infty_continuous_map.coe_sub ZeroAtInftyContinuousMap.coe_sub
theorem sub_apply : (f - g) x = f x - g x :=
rfl
#align zero_at_infty_continuous_map.sub_apply ZeroAtInftyContinuousMap.sub_apply
instance instAddGroup : AddGroup C₀(α, β) :=
DFunLike.coe_injective.addGroup _ coe_zero coe_add coe_neg coe_sub (fun _ _ => rfl) fun _ _ => rfl
end AddGroup
instance instAddCommGroup [AddCommGroup β] [TopologicalAddGroup β] : AddCommGroup C₀(α, β) :=
DFunLike.coe_injective.addCommGroup _ coe_zero coe_add coe_neg coe_sub (fun _ _ => rfl) fun _ _ =>
rfl
instance instIsCentralScalar [Zero β] {R : Type*} [Zero R] [SMulWithZero R β] [SMulWithZero Rᵐᵒᵖ β]
[ContinuousConstSMul R β] [IsCentralScalar R β] : IsCentralScalar R C₀(α, β) :=
⟨fun _ _ => ext fun _ => op_smul_eq_smul _ _⟩
instance instSMulWithZero [Zero β] {R : Type*} [Zero R] [SMulWithZero R β]
[ContinuousConstSMul R β] : SMulWithZero R C₀(α, β) :=
Function.Injective.smulWithZero ⟨_, coe_zero⟩ DFunLike.coe_injective coe_smul
instance instMulActionWithZero [Zero β] {R : Type*} [MonoidWithZero R] [MulActionWithZero R β]
[ContinuousConstSMul R β] : MulActionWithZero R C₀(α, β) :=
Function.Injective.mulActionWithZero ⟨_, coe_zero⟩ DFunLike.coe_injective coe_smul
instance instModule [AddCommMonoid β] [ContinuousAdd β] {R : Type*} [Semiring R] [Module R β]
[ContinuousConstSMul R β] : Module R C₀(α, β) :=
Function.Injective.module R ⟨⟨_, coe_zero⟩, coe_add⟩ DFunLike.coe_injective coe_smul
instance instNonUnitalNonAssocSemiring [NonUnitalNonAssocSemiring β] [TopologicalSemiring β] :
NonUnitalNonAssocSemiring C₀(α, β) :=
DFunLike.coe_injective.nonUnitalNonAssocSemiring _ coe_zero coe_add coe_mul fun _ _ => rfl
instance instNonUnitalSemiring [NonUnitalSemiring β] [TopologicalSemiring β] :
NonUnitalSemiring C₀(α, β) :=
DFunLike.coe_injective.nonUnitalSemiring _ coe_zero coe_add coe_mul fun _ _ => rfl
instance instNonUnitalCommSemiring [NonUnitalCommSemiring β] [TopologicalSemiring β] :
NonUnitalCommSemiring C₀(α, β) :=
DFunLike.coe_injective.nonUnitalCommSemiring _ coe_zero coe_add coe_mul fun _ _ => rfl
instance instNonUnitalNonAssocRing [NonUnitalNonAssocRing β] [TopologicalRing β] :
NonUnitalNonAssocRing C₀(α, β) :=
DFunLike.coe_injective.nonUnitalNonAssocRing _ coe_zero coe_add coe_mul coe_neg coe_sub
(fun _ _ => rfl) fun _ _ => rfl
instance instNonUnitalRing [NonUnitalRing β] [TopologicalRing β] : NonUnitalRing C₀(α, β) :=
DFunLike.coe_injective.nonUnitalRing _ coe_zero coe_add coe_mul coe_neg coe_sub (fun _ _ => rfl)
fun _ _ => rfl
instance instNonUnitalCommRing [NonUnitalCommRing β] [TopologicalRing β] :
NonUnitalCommRing C₀(α, β) :=
DFunLike.coe_injective.nonUnitalCommRing _ coe_zero coe_add coe_mul coe_neg coe_sub
(fun _ _ => rfl) fun _ _ => rfl
instance instIsScalarTower {R : Type*} [Semiring R] [NonUnitalNonAssocSemiring β]
[TopologicalSemiring β] [Module R β] [ContinuousConstSMul R β] [IsScalarTower R β β] :
IsScalarTower R C₀(α, β) C₀(α, β) where
smul_assoc r f g := by
ext
simp only [smul_eq_mul, coe_mul, coe_smul, Pi.mul_apply, Pi.smul_apply]
rw [← smul_eq_mul, ← smul_eq_mul, smul_assoc]
instance instSMulCommClass {R : Type*} [Semiring R] [NonUnitalNonAssocSemiring β]
[TopologicalSemiring β] [Module R β] [ContinuousConstSMul R β] [SMulCommClass R β β] :
SMulCommClass R C₀(α, β) C₀(α, β) where
smul_comm r f g := by
ext
simp only [smul_eq_mul, coe_smul, coe_mul, Pi.smul_apply, Pi.mul_apply]
rw [← smul_eq_mul, ← smul_eq_mul, smul_comm]
end AlgebraicStructure
section Uniform
variable [UniformSpace β] [UniformSpace γ] [Zero γ]
variable [FunLike F β γ] [ZeroAtInftyContinuousMapClass F β γ]
theorem uniformContinuous (f : F) : UniformContinuous (f : β → γ) :=
(map_continuous f).uniformContinuous_of_tendsto_cocompact (zero_at_infty f)
#align zero_at_infty_continuous_map.uniform_continuous ZeroAtInftyContinuousMap.uniformContinuous
end Uniform
/-! ### Metric structure
When `β` is a metric space, then every element of `C₀(α, β)` is bounded, and so there is a natural
inclusion map `ZeroAtInftyContinuousMap.toBCF : C₀(α, β) → (α →ᵇ β)`. Via this map `C₀(α, β)`
inherits a metric as the pullback of the metric on `α →ᵇ β`. Moreover, this map has closed range
in `α →ᵇ β` and consequently `C₀(α, β)` is a complete space whenever `β` is complete.
-/
section Metric
open Metric Set
variable [PseudoMetricSpace β] [Zero β] [FunLike F α β] [ZeroAtInftyContinuousMapClass F α β]
protected theorem bounded (f : F) : ∃ C, ∀ x y : α, dist ((f : α → β) x) (f y) ≤ C := by
obtain ⟨K : Set α, hK₁, hK₂⟩ := mem_cocompact.mp
(tendsto_def.mp (zero_at_infty (f : F)) _ (closedBall_mem_nhds (0 : β) zero_lt_one))
obtain ⟨C, hC⟩ := (hK₁.image (map_continuous f)).isBounded.subset_closedBall (0 : β)
refine ⟨max C 1 + max C 1, fun x y => ?_⟩
have : ∀ x, f x ∈ closedBall (0 : β) (max C 1) := by
intro x
by_cases hx : x ∈ K
· exact (mem_closedBall.mp <| hC ⟨x, hx, rfl⟩).trans (le_max_left _ _)
· exact (mem_closedBall.mp <| mem_preimage.mp (hK₂ hx)).trans (le_max_right _ _)
exact (dist_triangle (f x) 0 (f y)).trans
(add_le_add (mem_closedBall.mp <| this x) (mem_closedBall'.mp <| this y))
#align zero_at_infty_continuous_map.bounded ZeroAtInftyContinuousMap.bounded
theorem isBounded_range (f : C₀(α, β)) : IsBounded (range f) :=
isBounded_range_iff.2 (ZeroAtInftyContinuousMap.bounded f)
#align zero_at_infty_continuous_map.bounded_range ZeroAtInftyContinuousMap.isBounded_range
theorem isBounded_image (f : C₀(α, β)) (s : Set α) : IsBounded (f '' s) :=
f.isBounded_range.subset <| image_subset_range _ _
#align zero_at_infty_continuous_map.bounded_image ZeroAtInftyContinuousMap.isBounded_image
instance (priority := 100) instBoundedContinuousMapClass : BoundedContinuousMapClass F α β :=
{ ‹ZeroAtInftyContinuousMapClass F α β› with
map_bounded := fun f => ZeroAtInftyContinuousMap.bounded f }
/-- Construct a bounded continuous function from a continuous function vanishing at infinity. -/
@[simps!]
def toBCF (f : C₀(α, β)) : α →ᵇ β :=
⟨f, map_bounded f⟩
#align zero_at_infty_continuous_map.to_bcf ZeroAtInftyContinuousMap.toBCF
section
variable (α) (β)
theorem toBCF_injective : Function.Injective (toBCF : C₀(α, β) → α →ᵇ β) := fun f g h => by
ext x
simpa only using DFunLike.congr_fun h x
#align zero_at_infty_continuous_map.to_bcf_injective ZeroAtInftyContinuousMap.toBCF_injective
end
variable {C : ℝ} {f g : C₀(α, β)}
/-- The type of continuous functions vanishing at infinity, with the uniform distance induced by the
inclusion `ZeroAtInftyContinuousMap.toBCF`, is a pseudo-metric space. -/
noncomputable instance instPseudoMetricSpace : PseudoMetricSpace C₀(α, β) :=
PseudoMetricSpace.induced toBCF inferInstance
/-- The type of continuous functions vanishing at infinity, with the uniform distance induced by the
inclusion `ZeroAtInftyContinuousMap.toBCF`, is a metric space. -/
noncomputable instance instMetricSpace {β : Type*} [MetricSpace β] [Zero β] :
MetricSpace C₀(α, β) :=
MetricSpace.induced _ (toBCF_injective α β) inferInstance
@[simp]
theorem dist_toBCF_eq_dist {f g : C₀(α, β)} : dist f.toBCF g.toBCF = dist f g :=
rfl
#align zero_at_infty_continuous_map.dist_to_bcf_eq_dist ZeroAtInftyContinuousMap.dist_toBCF_eq_dist
open BoundedContinuousFunction
/-- Convergence in the metric on `C₀(α, β)` is uniform convergence. -/
theorem tendsto_iff_tendstoUniformly {ι : Type*} {F : ι → C₀(α, β)} {f : C₀(α, β)} {l : Filter ι} :
Tendsto F l (𝓝 f) ↔ TendstoUniformly (fun i => F i) f l := by
simpa only [Metric.tendsto_nhds] using
@BoundedContinuousFunction.tendsto_iff_tendstoUniformly _ _ _ _ _ (fun i => (F i).toBCF)
f.toBCF l
#align zero_at_infty_continuous_map.tendsto_iff_tendsto_uniformly ZeroAtInftyContinuousMap.tendsto_iff_tendstoUniformly
theorem isometry_toBCF : Isometry (toBCF : C₀(α, β) → α →ᵇ β) := by tauto
#align zero_at_infty_continuous_map.isometry_to_bcf ZeroAtInftyContinuousMap.isometry_toBCF
| Mathlib/Topology/ContinuousFunction/ZeroAtInfty.lean | 449 | 461 | theorem isClosed_range_toBCF : IsClosed (range (toBCF : C₀(α, β) → α →ᵇ β)) := by |
refine isClosed_iff_clusterPt.mpr fun f hf => ?_
rw [clusterPt_principal_iff] at hf
have : Tendsto f (cocompact α) (𝓝 0) := by
refine Metric.tendsto_nhds.mpr fun ε hε => ?_
obtain ⟨_, hg, g, rfl⟩ := hf (ball f (ε / 2)) (ball_mem_nhds f <| half_pos hε)
refine (Metric.tendsto_nhds.mp (zero_at_infty g) (ε / 2) (half_pos hε)).mp
(eventually_of_forall fun x hx => ?_)
calc
dist (f x) 0 ≤ dist (g.toBCF x) (f x) + dist (g x) 0 := dist_triangle_left _ _ _
_ < dist g.toBCF f + ε / 2 := add_lt_add_of_le_of_lt (dist_coe_le_dist x) hx
_ < ε := by simpa [add_halves ε] using add_lt_add_right (mem_ball.1 hg) (ε / 2)
exact ⟨⟨f.toContinuousMap, this⟩, rfl⟩
|
/-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Shing Tak Lam, Mario Carneiro
-/
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.Ring.List
import Mathlib.Data.Int.ModEq
import Mathlib.Data.Nat.Bits
import Mathlib.Data.Nat.Log
import Mathlib.Data.List.Indexes
import Mathlib.Data.List.Palindrome
import Mathlib.Tactic.IntervalCases
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
#align_import data.nat.digits from "leanprover-community/mathlib"@"369525b73f229ccd76a6ec0e0e0bf2be57599768"
/-!
# Digits of a natural number
This provides a basic API for extracting the digits of a natural number in a given base,
and reconstructing numbers from their digits.
We also prove some divisibility tests based on digits, in particular completing
Theorem #85 from https://www.cs.ru.nl/~freek/100/.
Also included is a bound on the length of `Nat.toDigits` from core.
## TODO
A basic `norm_digits` tactic for proving goals of the form `Nat.digits a b = l` where `a` and `b`
are numerals is not yet ported.
-/
namespace Nat
variable {n : ℕ}
/-- (Impl.) An auxiliary definition for `digits`, to help get the desired definitional unfolding. -/
def digitsAux0 : ℕ → List ℕ
| 0 => []
| n + 1 => [n + 1]
#align nat.digits_aux_0 Nat.digitsAux0
/-- (Impl.) An auxiliary definition for `digits`, to help get the desired definitional unfolding. -/
def digitsAux1 (n : ℕ) : List ℕ :=
List.replicate n 1
#align nat.digits_aux_1 Nat.digitsAux1
/-- (Impl.) An auxiliary definition for `digits`, to help get the desired definitional unfolding. -/
def digitsAux (b : ℕ) (h : 2 ≤ b) : ℕ → List ℕ
| 0 => []
| n + 1 =>
((n + 1) % b) :: digitsAux b h ((n + 1) / b)
decreasing_by exact Nat.div_lt_self (Nat.succ_pos _) h
#align nat.digits_aux Nat.digitsAux
@[simp]
theorem digitsAux_zero (b : ℕ) (h : 2 ≤ b) : digitsAux b h 0 = [] := by rw [digitsAux]
#align nat.digits_aux_zero Nat.digitsAux_zero
theorem digitsAux_def (b : ℕ) (h : 2 ≤ b) (n : ℕ) (w : 0 < n) :
digitsAux b h n = (n % b) :: digitsAux b h (n / b) := by
cases n
· cases w
· rw [digitsAux]
#align nat.digits_aux_def Nat.digitsAux_def
/-- `digits b n` gives the digits, in little-endian order,
of a natural number `n` in a specified base `b`.
In any base, we have `ofDigits b L = L.foldr (fun x y ↦ x + b * y) 0`.
* For any `2 ≤ b`, we have `l < b` for any `l ∈ digits b n`,
and the last digit is not zero.
This uniquely specifies the behaviour of `digits b`.
* For `b = 1`, we define `digits 1 n = List.replicate n 1`.
* For `b = 0`, we define `digits 0 n = [n]`, except `digits 0 0 = []`.
Note this differs from the existing `Nat.toDigits` in core, which is used for printing numerals.
In particular, `Nat.toDigits b 0 = ['0']`, while `digits b 0 = []`.
-/
def digits : ℕ → ℕ → List ℕ
| 0 => digitsAux0
| 1 => digitsAux1
| b + 2 => digitsAux (b + 2) (by norm_num)
#align nat.digits Nat.digits
@[simp]
theorem digits_zero (b : ℕ) : digits b 0 = [] := by
rcases b with (_ | ⟨_ | ⟨_⟩⟩) <;> simp [digits, digitsAux0, digitsAux1]
#align nat.digits_zero Nat.digits_zero
-- @[simp] -- Porting note (#10618): simp can prove this
theorem digits_zero_zero : digits 0 0 = [] :=
rfl
#align nat.digits_zero_zero Nat.digits_zero_zero
@[simp]
theorem digits_zero_succ (n : ℕ) : digits 0 n.succ = [n + 1] :=
rfl
#align nat.digits_zero_succ Nat.digits_zero_succ
theorem digits_zero_succ' : ∀ {n : ℕ}, n ≠ 0 → digits 0 n = [n]
| 0, h => (h rfl).elim
| _ + 1, _ => rfl
#align nat.digits_zero_succ' Nat.digits_zero_succ'
@[simp]
theorem digits_one (n : ℕ) : digits 1 n = List.replicate n 1 :=
rfl
#align nat.digits_one Nat.digits_one
-- @[simp] -- Porting note (#10685): dsimp can prove this
theorem digits_one_succ (n : ℕ) : digits 1 (n + 1) = 1 :: digits 1 n :=
rfl
#align nat.digits_one_succ Nat.digits_one_succ
theorem digits_add_two_add_one (b n : ℕ) :
digits (b + 2) (n + 1) = ((n + 1) % (b + 2)) :: digits (b + 2) ((n + 1) / (b + 2)) := by
simp [digits, digitsAux_def]
#align nat.digits_add_two_add_one Nat.digits_add_two_add_one
@[simp]
lemma digits_of_two_le_of_pos {b : ℕ} (hb : 2 ≤ b) (hn : 0 < n) :
Nat.digits b n = n % b :: Nat.digits b (n / b) := by
rw [Nat.eq_add_of_sub_eq hb rfl, Nat.eq_add_of_sub_eq hn rfl, Nat.digits_add_two_add_one]
theorem digits_def' :
∀ {b : ℕ} (_ : 1 < b) {n : ℕ} (_ : 0 < n), digits b n = (n % b) :: digits b (n / b)
| 0, h => absurd h (by decide)
| 1, h => absurd h (by decide)
| b + 2, _ => digitsAux_def _ (by simp) _
#align nat.digits_def' Nat.digits_def'
@[simp]
theorem digits_of_lt (b x : ℕ) (hx : x ≠ 0) (hxb : x < b) : digits b x = [x] := by
rcases exists_eq_succ_of_ne_zero hx with ⟨x, rfl⟩
rcases Nat.exists_eq_add_of_le' ((Nat.le_add_left 1 x).trans_lt hxb) with ⟨b, rfl⟩
rw [digits_add_two_add_one, div_eq_of_lt hxb, digits_zero, mod_eq_of_lt hxb]
#align nat.digits_of_lt Nat.digits_of_lt
theorem digits_add (b : ℕ) (h : 1 < b) (x y : ℕ) (hxb : x < b) (hxy : x ≠ 0 ∨ y ≠ 0) :
digits b (x + b * y) = x :: digits b y := by
rcases Nat.exists_eq_add_of_le' h with ⟨b, rfl : _ = _ + 2⟩
cases y
· simp [hxb, hxy.resolve_right (absurd rfl)]
dsimp [digits]
rw [digitsAux_def]
· congr
· simp [Nat.add_mod, mod_eq_of_lt hxb]
· simp [add_mul_div_left, div_eq_of_lt hxb]
· apply Nat.succ_pos
#align nat.digits_add Nat.digits_add
-- If we had a function converting a list into a polynomial,
-- and appropriate lemmas about that function,
-- we could rewrite this in terms of that.
/-- `ofDigits b L` takes a list `L` of natural numbers, and interprets them
as a number in semiring, as the little-endian digits in base `b`.
-/
def ofDigits {α : Type*} [Semiring α] (b : α) : List ℕ → α
| [] => 0
| h :: t => h + b * ofDigits b t
#align nat.of_digits Nat.ofDigits
theorem ofDigits_eq_foldr {α : Type*} [Semiring α] (b : α) (L : List ℕ) :
ofDigits b L = List.foldr (fun x y => ↑x + b * y) 0 L := by
induction' L with d L ih
· rfl
· dsimp [ofDigits]
rw [ih]
#align nat.of_digits_eq_foldr Nat.ofDigits_eq_foldr
theorem ofDigits_eq_sum_map_with_index_aux (b : ℕ) (l : List ℕ) :
((List.range l.length).zipWith ((fun i a : ℕ => a * b ^ (i + 1))) l).sum =
b * ((List.range l.length).zipWith (fun i a => a * b ^ i) l).sum := by
suffices
(List.range l.length).zipWith (fun i a : ℕ => a * b ^ (i + 1)) l =
(List.range l.length).zipWith (fun i a => b * (a * b ^ i)) l
by simp [this]
congr; ext; simp [pow_succ]; ring
#align nat.of_digits_eq_sum_map_with_index_aux Nat.ofDigits_eq_sum_map_with_index_aux
theorem ofDigits_eq_sum_mapIdx (b : ℕ) (L : List ℕ) :
ofDigits b L = (L.mapIdx fun i a => a * b ^ i).sum := by
rw [List.mapIdx_eq_enum_map, List.enum_eq_zip_range, List.map_uncurry_zip_eq_zipWith,
ofDigits_eq_foldr]
induction' L with hd tl hl
· simp
· simpa [List.range_succ_eq_map, List.zipWith_map_left, ofDigits_eq_sum_map_with_index_aux] using
Or.inl hl
#align nat.of_digits_eq_sum_map_with_index Nat.ofDigits_eq_sum_mapIdx
@[simp]
theorem ofDigits_nil {b : ℕ} : ofDigits b [] = 0 := rfl
@[simp]
theorem ofDigits_singleton {b n : ℕ} : ofDigits b [n] = n := by simp [ofDigits]
#align nat.of_digits_singleton Nat.ofDigits_singleton
@[simp]
theorem ofDigits_one_cons {α : Type*} [Semiring α] (h : ℕ) (L : List ℕ) :
ofDigits (1 : α) (h :: L) = h + ofDigits 1 L := by simp [ofDigits]
#align nat.of_digits_one_cons Nat.ofDigits_one_cons
theorem ofDigits_cons {b hd} {tl : List ℕ} :
ofDigits b (hd :: tl) = hd + b * ofDigits b tl := rfl
theorem ofDigits_append {b : ℕ} {l1 l2 : List ℕ} :
ofDigits b (l1 ++ l2) = ofDigits b l1 + b ^ l1.length * ofDigits b l2 := by
induction' l1 with hd tl IH
· simp [ofDigits]
· rw [ofDigits, List.cons_append, ofDigits, IH, List.length_cons, pow_succ']
ring
#align nat.of_digits_append Nat.ofDigits_append
@[norm_cast]
theorem coe_ofDigits (α : Type*) [Semiring α] (b : ℕ) (L : List ℕ) :
((ofDigits b L : ℕ) : α) = ofDigits (b : α) L := by
induction' L with d L ih
· simp [ofDigits]
· dsimp [ofDigits]; push_cast; rw [ih]
#align nat.coe_of_digits Nat.coe_ofDigits
@[norm_cast]
theorem coe_int_ofDigits (b : ℕ) (L : List ℕ) : ((ofDigits b L : ℕ) : ℤ) = ofDigits (b : ℤ) L := by
induction' L with d L _
· rfl
· dsimp [ofDigits]; push_cast; simp only
#align nat.coe_int_of_digits Nat.coe_int_ofDigits
theorem digits_zero_of_eq_zero {b : ℕ} (h : b ≠ 0) :
∀ {L : List ℕ} (_ : ofDigits b L = 0), ∀ l ∈ L, l = 0
| _ :: _, h0, _, List.Mem.head .. => Nat.eq_zero_of_add_eq_zero_right h0
| _ :: _, h0, _, List.Mem.tail _ hL =>
digits_zero_of_eq_zero h (mul_right_injective₀ h (Nat.eq_zero_of_add_eq_zero_left h0)) _ hL
#align nat.digits_zero_of_eq_zero Nat.digits_zero_of_eq_zero
| Mathlib/Data/Nat/Digits.lean | 240 | 264 | theorem digits_ofDigits (b : ℕ) (h : 1 < b) (L : List ℕ) (w₁ : ∀ l ∈ L, l < b)
(w₂ : ∀ h : L ≠ [], L.getLast h ≠ 0) : digits b (ofDigits b L) = L := by |
induction' L with d L ih
· dsimp [ofDigits]
simp
· dsimp [ofDigits]
replace w₂ := w₂ (by simp)
rw [digits_add b h]
· rw [ih]
· intro l m
apply w₁
exact List.mem_cons_of_mem _ m
· intro h
rw [List.getLast_cons h] at w₂
convert w₂
· exact w₁ d (List.mem_cons_self _ _)
· by_cases h' : L = []
· rcases h' with rfl
left
simpa using w₂
· right
contrapose! w₂
refine digits_zero_of_eq_zero h.ne_bot w₂ _ ?_
rw [List.getLast_cons h']
exact List.getLast_mem h'
|
/-
Copyright (c) 2018 Reid Barton. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Reid Barton
-/
import Mathlib.Topology.ContinuousFunction.Basic
#align_import topology.compact_open from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
/-!
# The compact-open topology
In this file, we define the compact-open topology on the set of continuous maps between two
topological spaces.
## Main definitions
* `ContinuousMap.compactOpen` is the compact-open topology on `C(X, Y)`.
It is declared as an instance.
* `ContinuousMap.coev` is the coevaluation map `Y → C(X, Y × X)`. It is always continuous.
* `ContinuousMap.curry` is the currying map `C(X × Y, Z) → C(X, C(Y, Z))`. This map always exists
and it is continuous as long as `X × Y` is locally compact.
* `ContinuousMap.uncurry` is the uncurrying map `C(X, C(Y, Z)) → C(X × Y, Z)`. For this map to
exist, we need `Y` to be locally compact. If `X` is also locally compact, then this map is
continuous.
* `Homeomorph.curry` combines the currying and uncurrying operations into a homeomorphism
`C(X × Y, Z) ≃ₜ C(X, C(Y, Z))`. This homeomorphism exists if `X` and `Y` are locally compact.
## Tags
compact-open, curry, function space
-/
open Set Filter TopologicalSpace
open scoped Topology
namespace ContinuousMap
section CompactOpen
variable {α X Y Z T : Type*}
variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [TopologicalSpace T]
variable {K : Set X} {U : Set Y}
#noalign continuous_map.compact_open.gen
#noalign continuous_map.gen_empty
#noalign continuous_map.gen_univ
#noalign continuous_map.gen_inter
#noalign continuous_map.gen_union
#noalign continuous_map.gen_empty_right
/-- The compact-open topology on the space of continuous maps `C(X, Y)`. -/
instance compactOpen : TopologicalSpace C(X, Y) :=
.generateFrom <| image2 (fun K U ↦ {f | MapsTo f K U}) {K | IsCompact K} {U | IsOpen U}
#align continuous_map.compact_open ContinuousMap.compactOpen
/-- Definition of `ContinuousMap.compactOpen`. -/
theorem compactOpen_eq : @compactOpen X Y _ _ =
.generateFrom (image2 (fun K U ↦ {f | MapsTo f K U}) {K | IsCompact K} {t | IsOpen t}) :=
rfl
theorem isOpen_setOf_mapsTo (hK : IsCompact K) (hU : IsOpen U) :
IsOpen {f : C(X, Y) | MapsTo f K U} :=
isOpen_generateFrom_of_mem <| mem_image2_of_mem hK hU
#align continuous_map.is_open_gen ContinuousMap.isOpen_setOf_mapsTo
lemma eventually_mapsTo {f : C(X, Y)} (hK : IsCompact K) (hU : IsOpen U) (h : MapsTo f K U) :
∀ᶠ g : C(X, Y) in 𝓝 f, MapsTo g K U :=
(isOpen_setOf_mapsTo hK hU).mem_nhds h
lemma nhds_compactOpen (f : C(X, Y)) :
𝓝 f = ⨅ (K : Set X) (_ : IsCompact K) (U : Set Y) (_ : IsOpen U) (_ : MapsTo f K U),
𝓟 {g : C(X, Y) | MapsTo g K U} := by
simp_rw [compactOpen_eq, nhds_generateFrom, mem_setOf_eq, @and_comm (f ∈ _), iInf_and,
← image_prod, iInf_image, biInf_prod, mem_setOf_eq]
lemma tendsto_nhds_compactOpen {l : Filter α} {f : α → C(Y, Z)} {g : C(Y, Z)} :
Tendsto f l (𝓝 g) ↔
∀ K, IsCompact K → ∀ U, IsOpen U → MapsTo g K U → ∀ᶠ a in l, MapsTo (f a) K U := by
simp [nhds_compactOpen]
lemma continuous_compactOpen {f : X → C(Y, Z)} :
Continuous f ↔ ∀ K, IsCompact K → ∀ U, IsOpen U → IsOpen {x | MapsTo (f x) K U} :=
continuous_generateFrom_iff.trans forall_image2_iff
section Functorial
/-- `C(X, ·)` is a functor. -/
theorem continuous_comp (g : C(Y, Z)) : Continuous (ContinuousMap.comp g : C(X, Y) → C(X, Z)) :=
continuous_compactOpen.2 fun _K hK _U hU ↦ isOpen_setOf_mapsTo hK (hU.preimage g.2)
#align continuous_map.continuous_comp ContinuousMap.continuous_comp
/-- If `g : C(Y, Z)` is a topology inducing map,
then the composition `ContinuousMap.comp g : C(X, Y) → C(X, Z)` is a topology inducing map too. -/
theorem inducing_comp (g : C(Y, Z)) (hg : Inducing g) : Inducing (g.comp : C(X, Y) → C(X, Z)) where
induced := by
simp only [compactOpen_eq, induced_generateFrom_eq, image_image2, hg.setOf_isOpen,
image2_image_right, MapsTo, mem_preimage, preimage_setOf_eq, comp_apply]
/-- If `g : C(Y, Z)` is a topological embedding,
then the composition `ContinuousMap.comp g : C(X, Y) → C(X, Z)` is an embedding too. -/
theorem embedding_comp (g : C(Y, Z)) (hg : Embedding g) : Embedding (g.comp : C(X, Y) → C(X, Z)) :=
⟨inducing_comp g hg.1, fun _ _ ↦ (cancel_left hg.2).1⟩
/-- `C(·, Z)` is a functor. -/
theorem continuous_comp_left (f : C(X, Y)) : Continuous (fun g => g.comp f : C(Y, Z) → C(X, Z)) :=
continuous_compactOpen.2 fun K hK U hU ↦ by
simpa only [mapsTo_image_iff] using isOpen_setOf_mapsTo (hK.image f.2) hU
#align continuous_map.continuous_comp_left ContinuousMap.continuous_comp_left
/-- Any pair of homeomorphisms `X ≃ₜ Z` and `Y ≃ₜ T` gives rise to a homeomorphism
`C(X, Y) ≃ₜ C(Z, T)`. -/
protected def _root_.Homeomorph.arrowCongr (φ : X ≃ₜ Z) (ψ : Y ≃ₜ T) :
C(X, Y) ≃ₜ C(Z, T) where
toFun f := .comp ψ <| f.comp φ.symm
invFun f := .comp ψ.symm <| f.comp φ
left_inv f := ext fun _ ↦ ψ.left_inv (f _) |>.trans <| congrArg f <| φ.left_inv _
right_inv f := ext fun _ ↦ ψ.right_inv (f _) |>.trans <| congrArg f <| φ.right_inv _
continuous_toFun := continuous_comp _ |>.comp <| continuous_comp_left _
continuous_invFun := continuous_comp _ |>.comp <| continuous_comp_left _
variable [LocallyCompactPair Y Z]
/-- Composition is a continuous map from `C(X, Y) × C(Y, Z)` to `C(X, Z)`,
provided that `Y` is locally compact.
This is Prop. 9 of Chap. X, §3, №. 4 of Bourbaki's *Topologie Générale*. -/
theorem continuous_comp' : Continuous fun x : C(X, Y) × C(Y, Z) => x.2.comp x.1 := by
simp_rw [continuous_iff_continuousAt, ContinuousAt, tendsto_nhds_compactOpen]
intro ⟨f, g⟩ K hK U hU (hKU : MapsTo (g ∘ f) K U)
obtain ⟨L, hKL, hLc, hLU⟩ : ∃ L ∈ 𝓝ˢ (f '' K), IsCompact L ∧ MapsTo g L U :=
exists_mem_nhdsSet_isCompact_mapsTo g.continuous (hK.image f.continuous) hU
(mapsTo_image_iff.2 hKU)
rw [← subset_interior_iff_mem_nhdsSet, ← mapsTo'] at hKL
exact ((eventually_mapsTo hK isOpen_interior hKL).prod_nhds
(eventually_mapsTo hLc hU hLU)).mono fun ⟨f', g'⟩ ⟨hf', hg'⟩ ↦
hg'.comp <| hf'.mono_right interior_subset
#align continuous_map.continuous_comp' ContinuousMap.continuous_comp'
lemma _root_.Filter.Tendsto.compCM {α : Type*} {l : Filter α} {g : α → C(Y, Z)} {g₀ : C(Y, Z)}
{f : α → C(X, Y)} {f₀ : C(X, Y)} (hg : Tendsto g l (𝓝 g₀)) (hf : Tendsto f l (𝓝 f₀)) :
Tendsto (fun a ↦ (g a).comp (f a)) l (𝓝 (g₀.comp f₀)) :=
(continuous_comp'.tendsto (f₀, g₀)).comp (hf.prod_mk_nhds hg)
variable {X' : Type*} [TopologicalSpace X'] {a : X'} {g : X' → C(Y, Z)} {f : X' → C(X, Y)}
{s : Set X'}
nonrec lemma _root_.ContinuousAt.compCM (hg : ContinuousAt g a) (hf : ContinuousAt f a) :
ContinuousAt (fun x ↦ (g x).comp (f x)) a :=
hg.compCM hf
nonrec lemma _root_.ContinuousWithinAt.compCM (hg : ContinuousWithinAt g s a)
(hf : ContinuousWithinAt f s a) : ContinuousWithinAt (fun x ↦ (g x).comp (f x)) s a :=
hg.compCM hf
lemma _root_.ContinuousOn.compCM (hg : ContinuousOn g s) (hf : ContinuousOn f s) :
ContinuousOn (fun x ↦ (g x).comp (f x)) s := fun a ha ↦
(hg a ha).compCM (hf a ha)
lemma _root_.Continuous.compCM (hg : Continuous g) (hf : Continuous f) :
Continuous fun x => (g x).comp (f x) :=
continuous_comp'.comp (hf.prod_mk hg)
@[deprecated _root_.Continuous.compCM (since := "2024-01-30")]
lemma continuous.comp' (hf : Continuous f) (hg : Continuous g) :
Continuous fun x => (g x).comp (f x) :=
hg.compCM hf
#align continuous_map.continuous.comp' ContinuousMap.continuous.comp'
end Functorial
section Ev
/-- The evaluation map `C(X, Y) × X → Y` is continuous
if `X, Y` is a locally compact pair of spaces. -/
@[continuity]
| Mathlib/Topology/CompactOpen.lean | 178 | 182 | theorem continuous_eval [LocallyCompactPair X Y] : Continuous fun p : C(X, Y) × X => p.1 p.2 := by |
simp_rw [continuous_iff_continuousAt, ContinuousAt, (nhds_basis_opens _).tendsto_right_iff]
rintro ⟨f, x⟩ U ⟨hx : f x ∈ U, hU : IsOpen U⟩
rcases exists_mem_nhds_isCompact_mapsTo f.continuous (hU.mem_nhds hx) with ⟨K, hxK, hK, hKU⟩
filter_upwards [prod_mem_nhds (eventually_mapsTo hK hU hKU) hxK] using fun _ h ↦ h.1 h.2
|
/-
Copyright (c) 2022 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Analysis.SpecialFunctions.Log.Base
import Mathlib.MeasureTheory.Measure.MeasureSpaceDef
#align_import measure_theory.measure.doubling from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655"
/-!
# Uniformly locally doubling measures
A uniformly locally doubling measure `μ` on a metric space is a measure for which there exists a
constant `C` such that for all sufficiently small radii `ε`, and for any centre, the measure of a
ball of radius `2 * ε` is bounded by `C` times the measure of the concentric ball of radius `ε`.
This file records basic facts about uniformly locally doubling measures.
## Main definitions
* `IsUnifLocDoublingMeasure`: the definition of a uniformly locally doubling measure (as a
typeclass).
* `IsUnifLocDoublingMeasure.doublingConstant`: a function yielding the doubling constant `C`
appearing in the definition of a uniformly locally doubling measure.
-/
noncomputable section
open Set Filter Metric MeasureTheory TopologicalSpace ENNReal NNReal Topology
/-- A measure `μ` is said to be a uniformly locally doubling measure if there exists a constant `C`
such that for all sufficiently small radii `ε`, and for any centre, the measure of a ball of radius
`2 * ε` is bounded by `C` times the measure of the concentric ball of radius `ε`.
Note: it is important that this definition makes a demand only for sufficiently small `ε`. For
example we want hyperbolic space to carry the instance `IsUnifLocDoublingMeasure volume` but
volumes grow exponentially in hyperbolic space. To be really explicit, consider the hyperbolic plane
of curvature -1, the area of a disc of radius `ε` is `A(ε) = 2π(cosh(ε) - 1)` so
`A(2ε)/A(ε) ~ exp(ε)`. -/
class IsUnifLocDoublingMeasure {α : Type*} [MetricSpace α] [MeasurableSpace α]
(μ : Measure α) : Prop where
exists_measure_closedBall_le_mul'' :
∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ C * μ (closedBall x ε)
#align is_unif_loc_doubling_measure IsUnifLocDoublingMeasure
namespace IsUnifLocDoublingMeasure
variable {α : Type*} [MetricSpace α] [MeasurableSpace α] (μ : Measure α)
[IsUnifLocDoublingMeasure μ]
-- Porting note: added for missing infer kinds
theorem exists_measure_closedBall_le_mul :
∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ C * μ (closedBall x ε) :=
exists_measure_closedBall_le_mul''
/-- A doubling constant for a uniformly locally doubling measure.
See also `IsUnifLocDoublingMeasure.scalingConstantOf`. -/
def doublingConstant : ℝ≥0 :=
Classical.choose <| exists_measure_closedBall_le_mul μ
#align is_unif_loc_doubling_measure.doubling_constant IsUnifLocDoublingMeasure.doublingConstant
theorem exists_measure_closedBall_le_mul' :
∀ᶠ ε in 𝓝[>] 0, ∀ x, μ (closedBall x (2 * ε)) ≤ doublingConstant μ * μ (closedBall x ε) :=
Classical.choose_spec <| exists_measure_closedBall_le_mul μ
#align is_unif_loc_doubling_measure.exists_measure_closed_ball_le_mul' IsUnifLocDoublingMeasure.exists_measure_closedBall_le_mul'
| Mathlib/MeasureTheory/Measure/Doubling.lean | 69 | 99 | theorem exists_eventually_forall_measure_closedBall_le_mul (K : ℝ) :
∃ C : ℝ≥0, ∀ᶠ ε in 𝓝[>] 0, ∀ x, ∀ t ≤ K, μ (closedBall x (t * ε)) ≤ C * μ (closedBall x ε) := by |
let C := doublingConstant μ
have hμ :
∀ n : ℕ, ∀ᶠ ε in 𝓝[>] 0, ∀ x,
μ (closedBall x ((2 : ℝ) ^ n * ε)) ≤ ↑(C ^ n) * μ (closedBall x ε) := by
intro n
induction' n with n ih
· simp
replace ih := eventually_nhdsWithin_pos_mul_left (two_pos : 0 < (2 : ℝ)) ih
refine (ih.and (exists_measure_closedBall_le_mul' μ)).mono fun ε hε x => ?_
calc
μ (closedBall x ((2 : ℝ) ^ (n + 1) * ε)) = μ (closedBall x ((2 : ℝ) ^ n * (2 * ε))) := by
rw [pow_succ, mul_assoc]
_ ≤ ↑(C ^ n) * μ (closedBall x (2 * ε)) := hε.1 x
_ ≤ ↑(C ^ n) * (C * μ (closedBall x ε)) := by gcongr; exact hε.2 x
_ = ↑(C ^ (n + 1)) * μ (closedBall x ε) := by rw [← mul_assoc, pow_succ, ENNReal.coe_mul]
rcases lt_or_le K 1 with (hK | hK)
· refine ⟨1, ?_⟩
simp only [ENNReal.coe_one, one_mul]
refine eventually_mem_nhdsWithin.mono fun ε hε x t ht ↦ ?_
gcongr
nlinarith [mem_Ioi.mp hε]
· use C ^ ⌈Real.logb 2 K⌉₊
filter_upwards [hμ ⌈Real.logb 2 K⌉₊, eventually_mem_nhdsWithin] with ε hε hε₀ x t ht
refine le_trans ?_ (hε x)
gcongr
· exact (mem_Ioi.mp hε₀).le
· refine ht.trans ?_
rw [← Real.rpow_natCast, ← Real.logb_le_iff_le_rpow]
exacts [Nat.le_ceil _, by norm_num, by linarith]
|
/-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.NumberTheory.Liouville.Residual
import Mathlib.NumberTheory.Liouville.LiouvilleWith
import Mathlib.Analysis.PSeries
#align_import number_theory.liouville.measure from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
/-!
# Volume of the set of Liouville numbers
In this file we prove that the set of Liouville numbers with exponent (irrationality measure)
strictly greater than two is a set of Lebesgue measure zero, see
`volume_iUnion_setOf_liouvilleWith`.
Since this set is a residual set, we show that the filters `residual` and `ae volume` are disjoint.
These filters correspond to two common notions of genericity on `ℝ`: residual sets and sets of full
measure. The fact that the filters are disjoint means that two mutually exclusive properties can be
“generic” at the same time (in the sense of different “genericity” filters).
## Tags
Liouville number, Lebesgue measure, residual, generic property
-/
open scoped Filter ENNReal Topology NNReal
open Filter Set Metric MeasureTheory Real
theorem setOf_liouvilleWith_subset_aux :
{ x : ℝ | ∃ p > 2, LiouvilleWith p x } ⊆
⋃ m : ℤ, (· + (m : ℝ)) ⁻¹' ⋃ n > (0 : ℕ),
{ x : ℝ | ∃ᶠ b : ℕ in atTop, ∃ a ∈ Finset.Icc (0 : ℤ) b,
|x - (a : ℤ) / b| < 1 / (b : ℝ) ^ (2 + 1 / n : ℝ) } := by
rintro x ⟨p, hp, hxp⟩
rcases exists_nat_one_div_lt (sub_pos.2 hp) with ⟨n, hn⟩
rw [lt_sub_iff_add_lt'] at hn
suffices ∀ y : ℝ, LiouvilleWith p y → y ∈ Ico (0 : ℝ) 1 → ∃ᶠ b : ℕ in atTop,
∃ a ∈ Finset.Icc (0 : ℤ) b, |y - a / b| < 1 / (b : ℝ) ^ (2 + 1 / (n + 1 : ℕ) : ℝ) by
simp only [mem_iUnion, mem_preimage]
have hx : x + ↑(-⌊x⌋) ∈ Ico (0 : ℝ) 1 := by
simp only [Int.floor_le, Int.lt_floor_add_one, add_neg_lt_iff_le_add', zero_add, and_self_iff,
mem_Ico, Int.cast_neg, le_add_neg_iff_add_le]
exact ⟨-⌊x⌋, n + 1, n.succ_pos, this _ (hxp.add_int _) hx⟩
clear hxp x; intro x hxp hx01
refine ((hxp.frequently_lt_rpow_neg hn).and_eventually (eventually_ge_atTop 1)).mono ?_
rintro b ⟨⟨a, -, hlt⟩, hb⟩
rw [rpow_neg b.cast_nonneg, ← one_div, ← Nat.cast_succ] at hlt
refine ⟨a, ?_, hlt⟩
replace hb : (1 : ℝ) ≤ b := Nat.one_le_cast.2 hb
have hb0 : (0 : ℝ) < b := zero_lt_one.trans_le hb
replace hlt : |x - a / b| < 1 / b := by
refine hlt.trans_le (one_div_le_one_div_of_le hb0 ?_)
calc
(b : ℝ) = (b : ℝ) ^ (1 : ℝ) := (rpow_one _).symm
_ ≤ (b : ℝ) ^ (2 + 1 / (n + 1 : ℕ) : ℝ) :=
rpow_le_rpow_of_exponent_le hb (one_le_two.trans ?_)
simpa using n.cast_add_one_pos.le
rw [sub_div' _ _ _ hb0.ne', abs_div, abs_of_pos hb0, div_lt_div_right hb0, abs_sub_lt_iff,
sub_lt_iff_lt_add, sub_lt_iff_lt_add, ← sub_lt_iff_lt_add'] at hlt
rw [Finset.mem_Icc, ← Int.lt_add_one_iff, ← Int.lt_add_one_iff, ← neg_lt_iff_pos_add, add_comm, ←
@Int.cast_lt ℝ, ← @Int.cast_lt ℝ]
push_cast
refine ⟨lt_of_le_of_lt ?_ hlt.1, hlt.2.trans_le ?_⟩
· simp only [mul_nonneg hx01.left b.cast_nonneg, neg_le_sub_iff_le_add, le_add_iff_nonneg_left]
· rw [add_le_add_iff_left]
exact mul_le_of_le_one_left hb0.le hx01.2.le
#align set_of_liouville_with_subset_aux setOf_liouvilleWith_subset_aux
/-- The set of numbers satisfying the Liouville condition with some exponent `p > 2` has Lebesgue
measure zero. -/
@[simp]
theorem volume_iUnion_setOf_liouvilleWith :
volume (⋃ (p : ℝ) (_hp : 2 < p), { x : ℝ | LiouvilleWith p x }) = 0 := by
simp only [← setOf_exists, exists_prop]
refine measure_mono_null setOf_liouvilleWith_subset_aux ?_
rw [measure_iUnion_null_iff]; intro m; rw [measure_preimage_add_right]; clear m
refine (measure_biUnion_null_iff <| to_countable _).2 fun n (hn : 1 ≤ n) => ?_
generalize hr : (2 + 1 / n : ℝ) = r
replace hr : 2 < r := by simp [← hr, zero_lt_one.trans_le hn]
clear hn n
refine measure_setOf_frequently_eq_zero ?_
simp only [setOf_exists, ← exists_prop, ← Real.dist_eq, ← mem_ball, setOf_mem_eq]
set B : ℤ → ℕ → Set ℝ := fun a b => ball (a / b) (1 / (b : ℝ) ^ r)
have hB : ∀ a b, volume (B a b) = ↑((2 : ℝ≥0) / (b : ℝ≥0) ^ r) := fun a b ↦ by
rw [Real.volume_ball, mul_one_div, ← NNReal.coe_two, ← NNReal.coe_natCast, ← NNReal.coe_rpow,
← NNReal.coe_div, ENNReal.ofReal_coe_nnreal]
have : ∀ b : ℕ, volume (⋃ a ∈ Finset.Icc (0 : ℤ) b, B a b) ≤
↑(2 * ((b : ℝ≥0) ^ (1 - r) + (b : ℝ≥0) ^ (-r))) := fun b ↦
calc
volume (⋃ a ∈ Finset.Icc (0 : ℤ) b, B a b) ≤ ∑ a ∈ Finset.Icc (0 : ℤ) b, volume (B a b) :=
measure_biUnion_finset_le _ _
_ = ↑((b + 1) * (2 / (b : ℝ≥0) ^ r)) := by
simp only [hB, Int.card_Icc, Finset.sum_const, nsmul_eq_mul, sub_zero, ← Int.ofNat_succ,
Int.toNat_natCast, ← Nat.cast_succ, ENNReal.coe_mul, ENNReal.coe_natCast]
_ = _ := by
have : 1 - r ≠ 0 := by linarith
rw [ENNReal.coe_inj]
simp [add_mul, div_eq_mul_inv, NNReal.rpow_neg, NNReal.rpow_sub' _ this, mul_add,
mul_left_comm]
refine ne_top_of_le_ne_top (ENNReal.tsum_coe_ne_top_iff_summable.2 ?_) (ENNReal.tsum_le_tsum this)
refine (Summable.add ?_ ?_).mul_left _ <;> simp only [NNReal.summable_rpow] <;> linarith
#align volume_Union_set_of_liouville_with volume_iUnion_setOf_liouvilleWith
theorem ae_not_liouvilleWith : ∀ᵐ x, ∀ p > (2 : ℝ), ¬LiouvilleWith p x := by
simpa only [ae_iff, not_forall, Classical.not_not, setOf_exists] using
volume_iUnion_setOf_liouvilleWith
#align ae_not_liouville_with ae_not_liouvilleWith
theorem ae_not_liouville : ∀ᵐ x, ¬Liouville x :=
ae_not_liouvilleWith.mono fun x h₁ h₂ => h₁ 3 (by norm_num) (h₂.liouvilleWith 3)
#align ae_not_liouville ae_not_liouville
/-- The set of Liouville numbers has Lebesgue measure zero. -/
@[simp]
| Mathlib/NumberTheory/Liouville/Measure.lean | 120 | 121 | theorem volume_setOf_liouville : volume { x : ℝ | Liouville x } = 0 := by |
simpa only [ae_iff, Classical.not_not] using ae_not_liouville
|
/-
Copyright (c) 2021 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import Mathlib.Data.Fintype.List
#align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49"
/-!
# Cycles of a list
Lists have an equivalence relation of whether they are rotational permutations of one another.
This relation is defined as `IsRotated`.
Based on this, we define the quotient of lists by the rotation relation, called `Cycle`.
We also define a representation of concrete cycles, available when viewing them in a goal state or
via `#eval`, when over representable types. For example, the cycle `(2 1 4 3)` will be shown
as `c[2, 1, 4, 3]`. Two equal cycles may be printed differently if their internal representation
is different.
-/
assert_not_exists MonoidWithZero
namespace List
variable {α : Type*} [DecidableEq α]
/-- Return the `z` such that `x :: z :: _` appears in `xs`, or `default` if there is no such `z`. -/
def nextOr : ∀ (_ : List α) (_ _ : α), α
| [], _, default => default
| [_], _, default => default
-- Handles the not-found and the wraparound case
| y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default
#align list.next_or List.nextOr
@[simp]
theorem nextOr_nil (x d : α) : nextOr [] x d = d :=
rfl
#align list.next_or_nil List.nextOr_nil
@[simp]
theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d :=
rfl
#align list.next_or_singleton List.nextOr_singleton
@[simp]
theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y :=
if_pos rfl
#align list.next_or_self_cons_cons List.nextOr_self_cons_cons
theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) :
nextOr (y :: xs) x d = nextOr xs x d := by
cases' xs with z zs
· rfl
· exact if_neg h
#align list.next_or_cons_of_ne List.nextOr_cons_of_ne
/-- `nextOr` does not depend on the default value, if the next value appears. -/
theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs)
(x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by
induction' xs with y ys IH
· cases x_mem
cases' ys with z zs
· simp at x_mem x_ne
contradiction
by_cases h : x = y
· rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons]
· rw [nextOr, nextOr, IH]
· simpa [h] using x_mem
· simpa using x_ne
#align list.next_or_eq_next_or_of_mem_of_ne List.nextOr_eq_nextOr_of_mem_of_ne
theorem mem_of_nextOr_ne {xs : List α} {x d : α} (h : nextOr xs x d ≠ d) : x ∈ xs := by
induction' xs with y ys IH
· simp at h
cases' ys with z zs
· simp at h
· by_cases hx : x = y
· simp [hx]
· rw [nextOr_cons_of_ne _ _ _ _ hx] at h
simpa [hx] using IH h
#align list.mem_of_next_or_ne List.mem_of_nextOr_ne
theorem nextOr_concat {xs : List α} {x : α} (d : α) (h : x ∉ xs) : nextOr (xs ++ [x]) x d = d := by
induction' xs with z zs IH
· simp
· obtain ⟨hz, hzs⟩ := not_or.mp (mt mem_cons.2 h)
rw [cons_append, nextOr_cons_of_ne _ _ _ _ hz, IH hzs]
#align list.next_or_concat List.nextOr_concat
theorem nextOr_mem {xs : List α} {x d : α} (hd : d ∈ xs) : nextOr xs x d ∈ xs := by
revert hd
suffices ∀ xs' : List α, (∀ x ∈ xs, x ∈ xs') → d ∈ xs' → nextOr xs x d ∈ xs' by
exact this xs fun _ => id
intro xs' hxs' hd
induction' xs with y ys ih
· exact hd
cases' ys with z zs
· exact hd
rw [nextOr]
split_ifs with h
· exact hxs' _ (mem_cons_of_mem _ (mem_cons_self _ _))
· exact ih fun _ h => hxs' _ (mem_cons_of_mem _ h)
#align list.next_or_mem List.nextOr_mem
/-- Given an element `x : α` of `l : List α` such that `x ∈ l`, get the next
element of `l`. This works from head to tail, (including a check for last element)
so it will match on first hit, ignoring later duplicates.
For example:
* `next [1, 2, 3] 2 _ = 3`
* `next [1, 2, 3] 3 _ = 1`
* `next [1, 2, 3, 2, 4] 2 _ = 3`
* `next [1, 2, 3, 2] 2 _ = 3`
* `next [1, 1, 2, 3, 2] 1 _ = 1`
-/
def next (l : List α) (x : α) (h : x ∈ l) : α :=
nextOr l x (l.get ⟨0, length_pos_of_mem h⟩)
#align list.next List.next
/-- Given an element `x : α` of `l : List α` such that `x ∈ l`, get the previous
element of `l`. This works from head to tail, (including a check for last element)
so it will match on first hit, ignoring later duplicates.
* `prev [1, 2, 3] 2 _ = 1`
* `prev [1, 2, 3] 1 _ = 3`
* `prev [1, 2, 3, 2, 4] 2 _ = 1`
* `prev [1, 2, 3, 4, 2] 2 _ = 1`
* `prev [1, 1, 2] 1 _ = 2`
-/
def prev : ∀ l : List α, ∀ x ∈ l, α
| [], _, h => by simp at h
| [y], _, _ => y
| y :: z :: xs, x, h =>
if hx : x = y then getLast (z :: xs) (cons_ne_nil _ _)
else if x = z then y else prev (z :: xs) x (by simpa [hx] using h)
#align list.prev List.prev
variable (l : List α) (x : α)
@[simp]
theorem next_singleton (x y : α) (h : x ∈ [y]) : next [y] x h = y :=
rfl
#align list.next_singleton List.next_singleton
@[simp]
theorem prev_singleton (x y : α) (h : x ∈ [y]) : prev [y] x h = y :=
rfl
#align list.prev_singleton List.prev_singleton
theorem next_cons_cons_eq' (y z : α) (h : x ∈ y :: z :: l) (hx : x = y) :
next (y :: z :: l) x h = z := by rw [next, nextOr, if_pos hx]
#align list.next_cons_cons_eq' List.next_cons_cons_eq'
@[simp]
theorem next_cons_cons_eq (z : α) (h : x ∈ x :: z :: l) : next (x :: z :: l) x h = z :=
next_cons_cons_eq' l x x z h rfl
#align list.next_cons_cons_eq List.next_cons_cons_eq
theorem next_ne_head_ne_getLast (h : x ∈ l) (y : α) (h : x ∈ y :: l) (hy : x ≠ y)
(hx : x ≠ getLast (y :: l) (cons_ne_nil _ _)) :
next (y :: l) x h = next l x (by simpa [hy] using h) := by
rw [next, next, nextOr_cons_of_ne _ _ _ _ hy, nextOr_eq_nextOr_of_mem_of_ne]
· rwa [getLast_cons] at hx
exact ne_nil_of_mem (by assumption)
· rwa [getLast_cons] at hx
#align list.next_ne_head_ne_last List.next_ne_head_ne_getLast
theorem next_cons_concat (y : α) (hy : x ≠ y) (hx : x ∉ l)
(h : x ∈ y :: l ++ [x] := mem_append_right _ (mem_singleton_self x)) :
next (y :: l ++ [x]) x h = y := by
rw [next, nextOr_concat]
· rfl
· simp [hy, hx]
#align list.next_cons_concat List.next_cons_concat
theorem next_getLast_cons (h : x ∈ l) (y : α) (h : x ∈ y :: l) (hy : x ≠ y)
(hx : x = getLast (y :: l) (cons_ne_nil _ _)) (hl : Nodup l) : next (y :: l) x h = y := by
rw [next, get, ← dropLast_append_getLast (cons_ne_nil y l), hx, nextOr_concat]
subst hx
intro H
obtain ⟨⟨_ | k, hk⟩, hk'⟩ := get_of_mem H
· rw [← Option.some_inj] at hk'
rw [← get?_eq_get, dropLast_eq_take, get?_take, get?_zero, head?_cons,
Option.some_inj] at hk'
· exact hy (Eq.symm hk')
rw [length_cons, Nat.pred_succ]
exact length_pos_of_mem (by assumption)
suffices k + 1 = l.length by simp [this] at hk
cases' l with hd tl
· simp at hk
· rw [nodup_iff_injective_get] at hl
rw [length, Nat.succ_inj']
refine Fin.val_eq_of_eq <| @hl ⟨k, Nat.lt_of_succ_lt <| by simpa using hk⟩
⟨tl.length, by simp⟩ ?_
rw [← Option.some_inj] at hk'
rw [← get?_eq_get, dropLast_eq_take, get?_take, get?, get?_eq_get, Option.some_inj] at hk'
· rw [hk']
simp only [getLast_eq_get, length_cons, ge_iff_le, Nat.succ_sub_succ_eq_sub,
nonpos_iff_eq_zero, add_eq_zero_iff, and_false, Nat.sub_zero, get_cons_succ]
simpa using hk
#align list.next_last_cons List.next_getLast_cons
theorem prev_getLast_cons' (y : α) (hxy : x ∈ y :: l) (hx : x = y) :
prev (y :: l) x hxy = getLast (y :: l) (cons_ne_nil _ _) := by cases l <;> simp [prev, hx]
#align list.prev_last_cons' List.prev_getLast_cons'
@[simp]
theorem prev_getLast_cons (h : x ∈ x :: l) :
prev (x :: l) x h = getLast (x :: l) (cons_ne_nil _ _) :=
prev_getLast_cons' l x x h rfl
#align list.prev_last_cons List.prev_getLast_cons
theorem prev_cons_cons_eq' (y z : α) (h : x ∈ y :: z :: l) (hx : x = y) :
prev (y :: z :: l) x h = getLast (z :: l) (cons_ne_nil _ _) := by rw [prev, dif_pos hx]
#align list.prev_cons_cons_eq' List.prev_cons_cons_eq'
--@[simp] Porting note (#10618): `simp` can prove it
theorem prev_cons_cons_eq (z : α) (h : x ∈ x :: z :: l) :
prev (x :: z :: l) x h = getLast (z :: l) (cons_ne_nil _ _) :=
prev_cons_cons_eq' l x x z h rfl
#align list.prev_cons_cons_eq List.prev_cons_cons_eq
theorem prev_cons_cons_of_ne' (y z : α) (h : x ∈ y :: z :: l) (hy : x ≠ y) (hz : x = z) :
prev (y :: z :: l) x h = y := by
cases l
· simp [prev, hy, hz]
· rw [prev, dif_neg hy, if_pos hz]
#align list.prev_cons_cons_of_ne' List.prev_cons_cons_of_ne'
theorem prev_cons_cons_of_ne (y : α) (h : x ∈ y :: x :: l) (hy : x ≠ y) :
prev (y :: x :: l) x h = y :=
prev_cons_cons_of_ne' _ _ _ _ _ hy rfl
#align list.prev_cons_cons_of_ne List.prev_cons_cons_of_ne
theorem prev_ne_cons_cons (y z : α) (h : x ∈ y :: z :: l) (hy : x ≠ y) (hz : x ≠ z) :
prev (y :: z :: l) x h = prev (z :: l) x (by simpa [hy] using h) := by
cases l
· simp [hy, hz] at h
· rw [prev, dif_neg hy, if_neg hz]
#align list.prev_ne_cons_cons List.prev_ne_cons_cons
theorem next_mem (h : x ∈ l) : l.next x h ∈ l :=
nextOr_mem (get_mem _ _ _)
#align list.next_mem List.next_mem
theorem prev_mem (h : x ∈ l) : l.prev x h ∈ l := by
cases' l with hd tl
· simp at h
induction' tl with hd' tl hl generalizing hd
· simp
· by_cases hx : x = hd
· simp only [hx, prev_cons_cons_eq]
exact mem_cons_of_mem _ (getLast_mem _)
· rw [prev, dif_neg hx]
split_ifs with hm
· exact mem_cons_self _ _
· exact mem_cons_of_mem _ (hl _ _)
#align list.prev_mem List.prev_mem
-- Porting note (#10756): new theorem
theorem next_get : ∀ (l : List α) (_h : Nodup l) (i : Fin l.length),
next l (l.get i) (get_mem _ _ _) = l.get ⟨(i + 1) % l.length,
Nat.mod_lt _ (i.1.zero_le.trans_lt i.2)⟩
| [], _, i => by simpa using i.2
| [_], _, _ => by simp
| x::y::l, _h, ⟨0, h0⟩ => by
have h₁ : get (x :: y :: l) { val := 0, isLt := h0 } = x := by simp
rw [next_cons_cons_eq' _ _ _ _ _ h₁]
simp
| x::y::l, hn, ⟨i+1, hi⟩ => by
have hx' : (x :: y :: l).get ⟨i+1, hi⟩ ≠ x := by
intro H
suffices (i + 1 : ℕ) = 0 by simpa
rw [nodup_iff_injective_get] at hn
refine Fin.val_eq_of_eq (@hn ⟨i + 1, hi⟩ ⟨0, by simp⟩ ?_)
simpa using H
have hi' : i ≤ l.length := Nat.le_of_lt_succ (Nat.succ_lt_succ_iff.1 hi)
rcases hi'.eq_or_lt with (hi' | hi')
· subst hi'
rw [next_getLast_cons]
· simp [hi', get]
· rw [get_cons_succ]; exact get_mem _ _ _
· exact hx'
· simp [getLast_eq_get]
· exact hn.of_cons
· rw [next_ne_head_ne_getLast _ _ _ _ _ hx']
· simp only [get_cons_succ]
rw [next_get (y::l), ← get_cons_succ (a := x)]
· congr
dsimp
rw [Nat.mod_eq_of_lt (Nat.succ_lt_succ_iff.2 hi'),
Nat.mod_eq_of_lt (Nat.succ_lt_succ_iff.2 (Nat.succ_lt_succ_iff.2 hi'))]
· simp [Nat.mod_eq_of_lt (Nat.succ_lt_succ_iff.2 hi'), Nat.succ_eq_add_one, hi']
· exact hn.of_cons
· rw [getLast_eq_get]
intro h
have := nodup_iff_injective_get.1 hn h
simp at this; simp [this] at hi'
· rw [get_cons_succ]; exact get_mem _ _ _
set_option linter.deprecated false in
@[deprecated next_get (since := "2023-01-27")]
theorem next_nthLe (l : List α) (h : Nodup l) (n : ℕ) (hn : n < l.length) :
next l (l.nthLe n hn) (nthLe_mem _ _ _) =
l.nthLe ((n + 1) % l.length) (Nat.mod_lt _ (n.zero_le.trans_lt hn)) :=
next_get l h ⟨n, hn⟩
#align list.next_nth_le List.next_nthLe
set_option linter.deprecated false in
theorem prev_nthLe (l : List α) (h : Nodup l) (n : ℕ) (hn : n < l.length) :
prev l (l.nthLe n hn) (nthLe_mem _ _ _) =
l.nthLe ((n + (l.length - 1)) % l.length) (Nat.mod_lt _ (n.zero_le.trans_lt hn)) := by
cases' l with x l
· simp at hn
induction' l with y l hl generalizing n x
· simp
· rcases n with (_ | _ | n)
· simp [Nat.add_succ_sub_one, add_zero, List.prev_cons_cons_eq, Nat.zero_eq, List.length,
List.nthLe, Nat.succ_add_sub_one, zero_add, getLast_eq_get,
Nat.mod_eq_of_lt (Nat.succ_lt_succ l.length.lt_succ_self)]
· simp only [mem_cons, nodup_cons] at h
push_neg at h
simp only [List.prev_cons_cons_of_ne _ _ _ _ h.left.left.symm, Nat.zero_eq, List.length,
List.nthLe, add_comm, eq_self_iff_true, Nat.succ_add_sub_one, Nat.mod_self, zero_add,
List.get]
· rw [prev_ne_cons_cons]
· convert hl n.succ y h.of_cons (Nat.le_of_succ_le_succ hn) using 1
have : ∀ k hk, (y :: l).nthLe k hk = (x :: y :: l).nthLe (k + 1) (Nat.succ_lt_succ hk) := by
intros
simp [List.nthLe]
rw [this]
congr
simp only [Nat.add_succ_sub_one, add_zero, length]
simp only [length, Nat.succ_lt_succ_iff] at hn
set k := l.length
rw [Nat.succ_add, ← Nat.add_succ, Nat.add_mod_right, Nat.succ_add, ← Nat.add_succ _ k,
Nat.add_mod_right, Nat.mod_eq_of_lt, Nat.mod_eq_of_lt]
· exact Nat.lt_succ_of_lt hn
· exact Nat.succ_lt_succ (Nat.lt_succ_of_lt hn)
· intro H
suffices n.succ.succ = 0 by simpa
rw [nodup_iff_nthLe_inj] at h
refine h _ _ hn Nat.succ_pos' ?_
simpa using H
· intro H
suffices n.succ.succ = 1 by simpa
rw [nodup_iff_nthLe_inj] at h
refine h _ _ hn (Nat.succ_lt_succ Nat.succ_pos') ?_
simpa using H
#align list.prev_nth_le List.prev_nthLe
set_option linter.deprecated false in
theorem pmap_next_eq_rotate_one (h : Nodup l) : (l.pmap l.next fun _ h => h) = l.rotate 1 := by
apply List.ext_nthLe
· simp
· intros
rw [nthLe_pmap, nthLe_rotate, next_nthLe _ h]
#align list.pmap_next_eq_rotate_one List.pmap_next_eq_rotate_one
set_option linter.deprecated false in
theorem pmap_prev_eq_rotate_length_sub_one (h : Nodup l) :
(l.pmap l.prev fun _ h => h) = l.rotate (l.length - 1) := by
apply List.ext_nthLe
· simp
· intro n hn hn'
rw [nthLe_rotate, nthLe_pmap, prev_nthLe _ h]
#align list.pmap_prev_eq_rotate_length_sub_one List.pmap_prev_eq_rotate_length_sub_one
set_option linter.deprecated false in
theorem prev_next (l : List α) (h : Nodup l) (x : α) (hx : x ∈ l) :
prev l (next l x hx) (next_mem _ _ _) = x := by
obtain ⟨n, hn, rfl⟩ := nthLe_of_mem hx
simp only [next_nthLe, prev_nthLe, h, Nat.mod_add_mod]
cases' l with hd tl
· simp at hx
· have : (n + 1 + length tl) % (length tl + 1) = n := by
rw [length_cons, Nat.succ_eq_add_one] at hn
rw [add_assoc, add_comm 1, Nat.add_mod_right, Nat.mod_eq_of_lt hn]
simp only [length_cons, Nat.succ_sub_succ_eq_sub, Nat.sub_zero, Nat.succ_eq_add_one, this]
#align list.prev_next List.prev_next
set_option linter.deprecated false in
theorem next_prev (l : List α) (h : Nodup l) (x : α) (hx : x ∈ l) :
next l (prev l x hx) (prev_mem _ _ _) = x := by
obtain ⟨n, hn, rfl⟩ := nthLe_of_mem hx
simp only [next_nthLe, prev_nthLe, h, Nat.mod_add_mod]
cases' l with hd tl
· simp at hx
· have : (n + length tl + 1) % (length tl + 1) = n := by
rw [length_cons, Nat.succ_eq_add_one] at hn
rw [add_assoc, Nat.add_mod_right, Nat.mod_eq_of_lt hn]
simp [this]
#align list.next_prev List.next_prev
set_option linter.deprecated false in
theorem prev_reverse_eq_next (l : List α) (h : Nodup l) (x : α) (hx : x ∈ l) :
prev l.reverse x (mem_reverse.mpr hx) = next l x hx := by
obtain ⟨k, hk, rfl⟩ := nthLe_of_mem hx
have lpos : 0 < l.length := k.zero_le.trans_lt hk
have key : l.length - 1 - k < l.length := by omega
rw [← nthLe_pmap l.next (fun _ h => h) (by simpa using hk)]
simp_rw [← nthLe_reverse l k (key.trans_le (by simp)), pmap_next_eq_rotate_one _ h]
rw [← nthLe_pmap l.reverse.prev fun _ h => h]
· simp_rw [pmap_prev_eq_rotate_length_sub_one _ (nodup_reverse.mpr h), rotate_reverse,
length_reverse, Nat.mod_eq_of_lt (Nat.sub_lt lpos Nat.succ_pos'),
Nat.sub_sub_self (Nat.succ_le_of_lt lpos)]
rw [← nthLe_reverse]
· simp [Nat.sub_sub_self (Nat.le_sub_one_of_lt hk)]
· simpa using (Nat.sub_le _ _).trans_lt (Nat.sub_lt lpos Nat.succ_pos')
· simpa
#align list.prev_reverse_eq_next List.prev_reverse_eq_next
theorem next_reverse_eq_prev (l : List α) (h : Nodup l) (x : α) (hx : x ∈ l) :
next l.reverse x (mem_reverse.mpr hx) = prev l x hx := by
convert (prev_reverse_eq_next l.reverse (nodup_reverse.mpr h) x (mem_reverse.mpr hx)).symm
exact (reverse_reverse l).symm
#align list.next_reverse_eq_prev List.next_reverse_eq_prev
set_option linter.deprecated false in
theorem isRotated_next_eq {l l' : List α} (h : l ~r l') (hn : Nodup l) {x : α} (hx : x ∈ l) :
l.next x hx = l'.next x (h.mem_iff.mp hx) := by
obtain ⟨k, hk, rfl⟩ := nthLe_of_mem hx
obtain ⟨n, rfl⟩ := id h
rw [next_nthLe _ hn]
simp_rw [← nthLe_rotate' _ n k]
rw [next_nthLe _ (h.nodup_iff.mp hn), ← nthLe_rotate' _ n]
simp [add_assoc]
#align list.is_rotated_next_eq List.isRotated_next_eq
theorem isRotated_prev_eq {l l' : List α} (h : l ~r l') (hn : Nodup l) {x : α} (hx : x ∈ l) :
l.prev x hx = l'.prev x (h.mem_iff.mp hx) := by
rw [← next_reverse_eq_prev _ hn, ← next_reverse_eq_prev _ (h.nodup_iff.mp hn)]
exact isRotated_next_eq h.reverse (nodup_reverse.mpr hn) _
#align list.is_rotated_prev_eq List.isRotated_prev_eq
end List
open List
/-- `Cycle α` is the quotient of `List α` by cyclic permutation.
Duplicates are allowed.
-/
def Cycle (α : Type*) : Type _ :=
Quotient (IsRotated.setoid α)
#align cycle Cycle
namespace Cycle
variable {α : Type*}
-- Porting note (#11445): new definition
/-- The coercion from `List α` to `Cycle α` -/
@[coe] def ofList : List α → Cycle α :=
Quot.mk _
instance : Coe (List α) (Cycle α) :=
⟨ofList⟩
@[simp]
theorem coe_eq_coe {l₁ l₂ : List α} : (l₁ : Cycle α) = (l₂ : Cycle α) ↔ l₁ ~r l₂ :=
@Quotient.eq _ (IsRotated.setoid _) _ _
#align cycle.coe_eq_coe Cycle.coe_eq_coe
@[simp]
theorem mk_eq_coe (l : List α) : Quot.mk _ l = (l : Cycle α) :=
rfl
#align cycle.mk_eq_coe Cycle.mk_eq_coe
@[simp]
theorem mk''_eq_coe (l : List α) : Quotient.mk'' l = (l : Cycle α) :=
rfl
#align cycle.mk'_eq_coe Cycle.mk''_eq_coe
theorem coe_cons_eq_coe_append (l : List α) (a : α) :
(↑(a :: l) : Cycle α) = (↑(l ++ [a]) : Cycle α) :=
Quot.sound ⟨1, by rw [rotate_cons_succ, rotate_zero]⟩
#align cycle.coe_cons_eq_coe_append Cycle.coe_cons_eq_coe_append
/-- The unique empty cycle. -/
def nil : Cycle α :=
([] : List α)
#align cycle.nil Cycle.nil
@[simp]
theorem coe_nil : ↑([] : List α) = @nil α :=
rfl
#align cycle.coe_nil Cycle.coe_nil
@[simp]
theorem coe_eq_nil (l : List α) : (l : Cycle α) = nil ↔ l = [] :=
coe_eq_coe.trans isRotated_nil_iff
#align cycle.coe_eq_nil Cycle.coe_eq_nil
/-- For consistency with `EmptyCollection (List α)`. -/
instance : EmptyCollection (Cycle α) :=
⟨nil⟩
@[simp]
theorem empty_eq : ∅ = @nil α :=
rfl
#align cycle.empty_eq Cycle.empty_eq
instance : Inhabited (Cycle α) :=
⟨nil⟩
/-- An induction principle for `Cycle`. Use as `induction s using Cycle.induction_on`. -/
@[elab_as_elim]
theorem induction_on {C : Cycle α → Prop} (s : Cycle α) (H0 : C nil)
(HI : ∀ (a) (l : List α), C ↑l → C ↑(a :: l)) : C s :=
Quotient.inductionOn' s fun l => by
refine List.recOn l ?_ ?_ <;> simp
assumption'
#align cycle.induction_on Cycle.induction_on
/-- For `x : α`, `s : Cycle α`, `x ∈ s` indicates that `x` occurs at least once in `s`. -/
def Mem (a : α) (s : Cycle α) : Prop :=
Quot.liftOn s (fun l => a ∈ l) fun _ _ e => propext <| e.mem_iff
#align cycle.mem Cycle.Mem
instance : Membership α (Cycle α) :=
⟨Mem⟩
@[simp]
theorem mem_coe_iff {a : α} {l : List α} : a ∈ (↑l : Cycle α) ↔ a ∈ l :=
Iff.rfl
#align cycle.mem_coe_iff Cycle.mem_coe_iff
@[simp]
theorem not_mem_nil : ∀ a, a ∉ @nil α :=
List.not_mem_nil
#align cycle.not_mem_nil Cycle.not_mem_nil
instance [DecidableEq α] : DecidableEq (Cycle α) := fun s₁ s₂ =>
Quotient.recOnSubsingleton₂' s₁ s₂ fun _ _ => decidable_of_iff' _ Quotient.eq''
instance [DecidableEq α] (x : α) (s : Cycle α) : Decidable (x ∈ s) :=
Quotient.recOnSubsingleton' s fun l => show Decidable (x ∈ l) from inferInstance
/-- Reverse a `s : Cycle α` by reversing the underlying `List`. -/
nonrec def reverse (s : Cycle α) : Cycle α :=
Quot.map reverse (fun _ _ => IsRotated.reverse) s
#align cycle.reverse Cycle.reverse
@[simp]
theorem reverse_coe (l : List α) : (l : Cycle α).reverse = l.reverse :=
rfl
#align cycle.reverse_coe Cycle.reverse_coe
@[simp]
theorem mem_reverse_iff {a : α} {s : Cycle α} : a ∈ s.reverse ↔ a ∈ s :=
Quot.inductionOn s fun _ => mem_reverse
#align cycle.mem_reverse_iff Cycle.mem_reverse_iff
@[simp]
theorem reverse_reverse (s : Cycle α) : s.reverse.reverse = s :=
Quot.inductionOn s fun _ => by simp
#align cycle.reverse_reverse Cycle.reverse_reverse
@[simp]
theorem reverse_nil : nil.reverse = @nil α :=
rfl
#align cycle.reverse_nil Cycle.reverse_nil
/-- The length of the `s : Cycle α`, which is the number of elements, counting duplicates. -/
def length (s : Cycle α) : ℕ :=
Quot.liftOn s List.length fun _ _ e => e.perm.length_eq
#align cycle.length Cycle.length
@[simp]
theorem length_coe (l : List α) : length (l : Cycle α) = l.length :=
rfl
#align cycle.length_coe Cycle.length_coe
@[simp]
theorem length_nil : length (@nil α) = 0 :=
rfl
#align cycle.length_nil Cycle.length_nil
@[simp]
theorem length_reverse (s : Cycle α) : s.reverse.length = s.length :=
Quot.inductionOn s List.length_reverse
#align cycle.length_reverse Cycle.length_reverse
/-- A `s : Cycle α` that is at most one element. -/
def Subsingleton (s : Cycle α) : Prop :=
s.length ≤ 1
#align cycle.subsingleton Cycle.Subsingleton
theorem subsingleton_nil : Subsingleton (@nil α) := Nat.zero_le _
#align cycle.subsingleton_nil Cycle.subsingleton_nil
theorem length_subsingleton_iff {s : Cycle α} : Subsingleton s ↔ length s ≤ 1 :=
Iff.rfl
#align cycle.length_subsingleton_iff Cycle.length_subsingleton_iff
@[simp]
theorem subsingleton_reverse_iff {s : Cycle α} : s.reverse.Subsingleton ↔ s.Subsingleton := by
simp [length_subsingleton_iff]
#align cycle.subsingleton_reverse_iff Cycle.subsingleton_reverse_iff
theorem Subsingleton.congr {s : Cycle α} (h : Subsingleton s) :
∀ ⦃x⦄ (_hx : x ∈ s) ⦃y⦄ (_hy : y ∈ s), x = y := by
induction' s using Quot.inductionOn with l
simp only [length_subsingleton_iff, length_coe, mk_eq_coe, le_iff_lt_or_eq, Nat.lt_add_one_iff,
length_eq_zero, length_eq_one, Nat.not_lt_zero, false_or_iff] at h
rcases h with (rfl | ⟨z, rfl⟩) <;> simp
#align cycle.subsingleton.congr Cycle.Subsingleton.congr
/-- A `s : Cycle α` that is made up of at least two unique elements. -/
def Nontrivial (s : Cycle α) : Prop :=
∃ x y : α, x ≠ y ∧ x ∈ s ∧ y ∈ s
#align cycle.nontrivial Cycle.Nontrivial
@[simp]
theorem nontrivial_coe_nodup_iff {l : List α} (hl : l.Nodup) :
Nontrivial (l : Cycle α) ↔ 2 ≤ l.length := by
rw [Nontrivial]
rcases l with (_ | ⟨hd, _ | ⟨hd', tl⟩⟩)
· simp
· simp
· simp only [mem_cons, exists_prop, mem_coe_iff, List.length, Ne, Nat.succ_le_succ_iff,
Nat.zero_le, iff_true_iff]
refine ⟨hd, hd', ?_, by simp⟩
simp only [not_or, mem_cons, nodup_cons] at hl
exact hl.left.left
#align cycle.nontrivial_coe_nodup_iff Cycle.nontrivial_coe_nodup_iff
@[simp]
theorem nontrivial_reverse_iff {s : Cycle α} : s.reverse.Nontrivial ↔ s.Nontrivial := by
simp [Nontrivial]
#align cycle.nontrivial_reverse_iff Cycle.nontrivial_reverse_iff
theorem length_nontrivial {s : Cycle α} (h : Nontrivial s) : 2 ≤ length s := by
obtain ⟨x, y, hxy, hx, hy⟩ := h
induction' s using Quot.inductionOn with l
rcases l with (_ | ⟨hd, _ | ⟨hd', tl⟩⟩)
· simp at hx
· simp only [mem_coe_iff, mk_eq_coe, mem_singleton] at hx hy
simp [hx, hy] at hxy
· simp [Nat.succ_le_succ_iff]
#align cycle.length_nontrivial Cycle.length_nontrivial
/-- The `s : Cycle α` contains no duplicates. -/
nonrec def Nodup (s : Cycle α) : Prop :=
Quot.liftOn s Nodup fun _l₁ _l₂ e => propext <| e.nodup_iff
#align cycle.nodup Cycle.Nodup
@[simp]
nonrec theorem nodup_nil : Nodup (@nil α) :=
nodup_nil
#align cycle.nodup_nil Cycle.nodup_nil
@[simp]
theorem nodup_coe_iff {l : List α} : Nodup (l : Cycle α) ↔ l.Nodup :=
Iff.rfl
#align cycle.nodup_coe_iff Cycle.nodup_coe_iff
@[simp]
theorem nodup_reverse_iff {s : Cycle α} : s.reverse.Nodup ↔ s.Nodup :=
Quot.inductionOn s fun _ => nodup_reverse
#align cycle.nodup_reverse_iff Cycle.nodup_reverse_iff
theorem Subsingleton.nodup {s : Cycle α} (h : Subsingleton s) : Nodup s := by
induction' s using Quot.inductionOn with l
cases' l with hd tl
· simp
· have : tl = [] := by simpa [Subsingleton, length_eq_zero, Nat.succ_le_succ_iff] using h
simp [this]
#align cycle.subsingleton.nodup Cycle.Subsingleton.nodup
theorem Nodup.nontrivial_iff {s : Cycle α} (h : Nodup s) : Nontrivial s ↔ ¬Subsingleton s := by
rw [length_subsingleton_iff]
induction s using Quotient.inductionOn'
simp only [mk''_eq_coe, nodup_coe_iff] at h
simp [h, Nat.succ_le_iff]
#align cycle.nodup.nontrivial_iff Cycle.Nodup.nontrivial_iff
/-- The `s : Cycle α` as a `Multiset α`.
-/
def toMultiset (s : Cycle α) : Multiset α :=
Quotient.liftOn' s (↑) fun _ _ h => Multiset.coe_eq_coe.mpr h.perm
#align cycle.to_multiset Cycle.toMultiset
@[simp]
theorem coe_toMultiset (l : List α) : (l : Cycle α).toMultiset = l :=
rfl
#align cycle.coe_to_multiset Cycle.coe_toMultiset
@[simp]
theorem nil_toMultiset : nil.toMultiset = (0 : Multiset α) :=
rfl
#align cycle.nil_to_multiset Cycle.nil_toMultiset
@[simp]
theorem card_toMultiset (s : Cycle α) : Multiset.card s.toMultiset = s.length :=
Quotient.inductionOn' s (by simp)
#align cycle.card_to_multiset Cycle.card_toMultiset
@[simp]
theorem toMultiset_eq_nil {s : Cycle α} : s.toMultiset = 0 ↔ s = Cycle.nil :=
Quotient.inductionOn' s (by simp)
#align cycle.to_multiset_eq_nil Cycle.toMultiset_eq_nil
/-- The lift of `list.map`. -/
def map {β : Type*} (f : α → β) : Cycle α → Cycle β :=
Quotient.map' (List.map f) fun _ _ h => h.map _
#align cycle.map Cycle.map
@[simp]
theorem map_nil {β : Type*} (f : α → β) : map f nil = nil :=
rfl
#align cycle.map_nil Cycle.map_nil
@[simp]
theorem map_coe {β : Type*} (f : α → β) (l : List α) : map f ↑l = List.map f l :=
rfl
#align cycle.map_coe Cycle.map_coe
@[simp]
theorem map_eq_nil {β : Type*} (f : α → β) (s : Cycle α) : map f s = nil ↔ s = nil :=
Quotient.inductionOn' s (by simp)
#align cycle.map_eq_nil Cycle.map_eq_nil
@[simp]
theorem mem_map {β : Type*} {f : α → β} {b : β} {s : Cycle α} :
b ∈ s.map f ↔ ∃ a, a ∈ s ∧ f a = b :=
Quotient.inductionOn' s (by simp)
#align cycle.mem_map Cycle.mem_map
/-- The `Multiset` of lists that can make the cycle. -/
def lists (s : Cycle α) : Multiset (List α) :=
Quotient.liftOn' s (fun l => (l.cyclicPermutations : Multiset (List α))) fun l₁ l₂ h => by
simpa using h.cyclicPermutations.perm
#align cycle.lists Cycle.lists
@[simp]
theorem lists_coe (l : List α) : lists (l : Cycle α) = ↑l.cyclicPermutations :=
rfl
#align cycle.lists_coe Cycle.lists_coe
@[simp]
theorem mem_lists_iff_coe_eq {s : Cycle α} {l : List α} : l ∈ s.lists ↔ (l : Cycle α) = s :=
Quotient.inductionOn' s fun l => by
rw [lists, Quotient.liftOn'_mk'']
simp
#align cycle.mem_lists_iff_coe_eq Cycle.mem_lists_iff_coe_eq
@[simp]
| Mathlib/Data/List/Cycle.lean | 753 | 754 | theorem lists_nil : lists (@nil α) = [([] : List α)] := by |
rw [nil, lists_coe, cyclicPermutations_nil]
|
/-
Copyright (c) 2022 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.asymptotics.theta from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Asymptotic equivalence up to a constant
In this file we define `Asymptotics.IsTheta l f g` (notation: `f =Θ[l] g`) as
`f =O[l] g ∧ g =O[l] f`, then prove basic properties of this equivalence relation.
-/
open Filter
open Topology
namespace Asymptotics
set_option linter.uppercaseLean3 false -- is_Theta
variable {α : Type*} {β : Type*} {E : Type*} {F : Type*} {G : Type*} {E' : Type*}
{F' : Type*} {G' : Type*} {E'' : Type*} {F'' : Type*} {G'' : Type*} {R : Type*}
{R' : Type*} {𝕜 : Type*} {𝕜' : Type*}
variable [Norm E] [Norm F] [Norm G]
variable [SeminormedAddCommGroup E'] [SeminormedAddCommGroup F'] [SeminormedAddCommGroup G']
[NormedAddCommGroup E''] [NormedAddCommGroup F''] [NormedAddCommGroup G''] [SeminormedRing R]
[SeminormedRing R']
variable [NormedField 𝕜] [NormedField 𝕜']
variable {c c' c₁ c₂ : ℝ} {f : α → E} {g : α → F} {k : α → G}
variable {f' : α → E'} {g' : α → F'} {k' : α → G'}
variable {f'' : α → E''} {g'' : α → F''}
variable {l l' : Filter α}
/-- We say that `f` is `Θ(g)` along a filter `l` (notation: `f =Θ[l] g`) if `f =O[l] g` and
`g =O[l] f`. -/
def IsTheta (l : Filter α) (f : α → E) (g : α → F) : Prop :=
IsBigO l f g ∧ IsBigO l g f
#align asymptotics.is_Theta Asymptotics.IsTheta
@[inherit_doc]
notation:100 f " =Θ[" l "] " g:100 => IsTheta l f g
theorem IsBigO.antisymm (h₁ : f =O[l] g) (h₂ : g =O[l] f) : f =Θ[l] g :=
⟨h₁, h₂⟩
#align asymptotics.is_O.antisymm Asymptotics.IsBigO.antisymm
lemma IsTheta.isBigO (h : f =Θ[l] g) : f =O[l] g := h.1
lemma IsTheta.isBigO_symm (h : f =Θ[l] g) : g =O[l] f := h.2
@[refl]
theorem isTheta_refl (f : α → E) (l : Filter α) : f =Θ[l] f :=
⟨isBigO_refl _ _, isBigO_refl _ _⟩
#align asymptotics.is_Theta_refl Asymptotics.isTheta_refl
theorem isTheta_rfl : f =Θ[l] f :=
isTheta_refl _ _
#align asymptotics.is_Theta_rfl Asymptotics.isTheta_rfl
@[symm]
nonrec theorem IsTheta.symm (h : f =Θ[l] g) : g =Θ[l] f :=
h.symm
#align asymptotics.is_Theta.symm Asymptotics.IsTheta.symm
theorem isTheta_comm : f =Θ[l] g ↔ g =Θ[l] f :=
⟨fun h ↦ h.symm, fun h ↦ h.symm⟩
#align asymptotics.is_Theta_comm Asymptotics.isTheta_comm
@[trans]
theorem IsTheta.trans {f : α → E} {g : α → F'} {k : α → G} (h₁ : f =Θ[l] g) (h₂ : g =Θ[l] k) :
f =Θ[l] k :=
⟨h₁.1.trans h₂.1, h₂.2.trans h₁.2⟩
#align asymptotics.is_Theta.trans Asymptotics.IsTheta.trans
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G) (IsTheta l) (IsTheta l) (IsTheta l) :=
⟨IsTheta.trans⟩
@[trans]
theorem IsBigO.trans_isTheta {f : α → E} {g : α → F'} {k : α → G} (h₁ : f =O[l] g)
(h₂ : g =Θ[l] k) : f =O[l] k :=
h₁.trans h₂.1
#align asymptotics.is_O.trans_is_Theta Asymptotics.IsBigO.trans_isTheta
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G) (IsBigO l) (IsTheta l) (IsBigO l) :=
⟨IsBigO.trans_isTheta⟩
@[trans]
theorem IsTheta.trans_isBigO {f : α → E} {g : α → F'} {k : α → G} (h₁ : f =Θ[l] g)
(h₂ : g =O[l] k) : f =O[l] k :=
h₁.1.trans h₂
#align asymptotics.is_Theta.trans_is_O Asymptotics.IsTheta.trans_isBigO
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G) (IsTheta l) (IsBigO l) (IsBigO l) :=
⟨IsTheta.trans_isBigO⟩
@[trans]
theorem IsLittleO.trans_isTheta {f : α → E} {g : α → F} {k : α → G'} (h₁ : f =o[l] g)
(h₂ : g =Θ[l] k) : f =o[l] k :=
h₁.trans_isBigO h₂.1
#align asymptotics.is_o.trans_is_Theta Asymptotics.IsLittleO.trans_isTheta
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G') (IsLittleO l) (IsTheta l) (IsLittleO l) :=
⟨IsLittleO.trans_isTheta⟩
@[trans]
theorem IsTheta.trans_isLittleO {f : α → E} {g : α → F'} {k : α → G} (h₁ : f =Θ[l] g)
(h₂ : g =o[l] k) : f =o[l] k :=
h₁.1.trans_isLittleO h₂
#align asymptotics.is_Theta.trans_is_o Asymptotics.IsTheta.trans_isLittleO
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F') (γ := α → G) (IsTheta l) (IsLittleO l) (IsLittleO l) :=
⟨IsTheta.trans_isLittleO⟩
@[trans]
theorem IsTheta.trans_eventuallyEq {f : α → E} {g₁ g₂ : α → F} (h : f =Θ[l] g₁) (hg : g₁ =ᶠ[l] g₂) :
f =Θ[l] g₂ :=
⟨h.1.trans_eventuallyEq hg, hg.symm.trans_isBigO h.2⟩
#align asymptotics.is_Theta.trans_eventually_eq Asymptotics.IsTheta.trans_eventuallyEq
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → F) (γ := α → F) (IsTheta l) (EventuallyEq l) (IsTheta l) :=
⟨IsTheta.trans_eventuallyEq⟩
@[trans]
theorem _root_.Filter.EventuallyEq.trans_isTheta {f₁ f₂ : α → E} {g : α → F} (hf : f₁ =ᶠ[l] f₂)
(h : f₂ =Θ[l] g) : f₁ =Θ[l] g :=
⟨hf.trans_isBigO h.1, h.2.trans_eventuallyEq hf.symm⟩
#align filter.eventually_eq.trans_is_Theta Filter.EventuallyEq.trans_isTheta
-- Porting note (#10754): added instance
instance : Trans (α := α → E) (β := α → E) (γ := α → F) (EventuallyEq l) (IsTheta l) (IsTheta l) :=
⟨EventuallyEq.trans_isTheta⟩
lemma _root_.Filter.EventuallyEq.isTheta {f g : α → E} (h : f =ᶠ[l] g) : f =Θ[l] g :=
h.trans_isTheta isTheta_rfl
@[simp]
theorem isTheta_norm_left : (fun x ↦ ‖f' x‖) =Θ[l] g ↔ f' =Θ[l] g := by simp [IsTheta]
#align asymptotics.is_Theta_norm_left Asymptotics.isTheta_norm_left
@[simp]
theorem isTheta_norm_right : (f =Θ[l] fun x ↦ ‖g' x‖) ↔ f =Θ[l] g' := by simp [IsTheta]
#align asymptotics.is_Theta_norm_right Asymptotics.isTheta_norm_right
alias ⟨IsTheta.of_norm_left, IsTheta.norm_left⟩ := isTheta_norm_left
#align asymptotics.is_Theta.of_norm_left Asymptotics.IsTheta.of_norm_left
#align asymptotics.is_Theta.norm_left Asymptotics.IsTheta.norm_left
alias ⟨IsTheta.of_norm_right, IsTheta.norm_right⟩ := isTheta_norm_right
#align asymptotics.is_Theta.of_norm_right Asymptotics.IsTheta.of_norm_right
#align asymptotics.is_Theta.norm_right Asymptotics.IsTheta.norm_right
theorem isTheta_of_norm_eventuallyEq (h : (fun x ↦ ‖f x‖) =ᶠ[l] fun x ↦ ‖g x‖) : f =Θ[l] g :=
⟨IsBigO.of_bound 1 <| by simpa only [one_mul] using h.le,
IsBigO.of_bound 1 <| by simpa only [one_mul] using h.symm.le⟩
#align asymptotics.is_Theta_of_norm_eventually_eq Asymptotics.isTheta_of_norm_eventuallyEq
theorem isTheta_of_norm_eventuallyEq' {g : α → ℝ} (h : (fun x ↦ ‖f' x‖) =ᶠ[l] g) : f' =Θ[l] g :=
isTheta_of_norm_eventuallyEq <| h.mono fun x hx ↦ by simp only [← hx, norm_norm]
#align asymptotics.is_Theta_of_norm_eventually_eq' Asymptotics.isTheta_of_norm_eventuallyEq'
theorem IsTheta.isLittleO_congr_left (h : f' =Θ[l] g') : f' =o[l] k ↔ g' =o[l] k :=
⟨h.symm.trans_isLittleO, h.trans_isLittleO⟩
#align asymptotics.is_Theta.is_o_congr_left Asymptotics.IsTheta.isLittleO_congr_left
theorem IsTheta.isLittleO_congr_right (h : g' =Θ[l] k') : f =o[l] g' ↔ f =o[l] k' :=
⟨fun H ↦ H.trans_isTheta h, fun H ↦ H.trans_isTheta h.symm⟩
#align asymptotics.is_Theta.is_o_congr_right Asymptotics.IsTheta.isLittleO_congr_right
theorem IsTheta.isBigO_congr_left (h : f' =Θ[l] g') : f' =O[l] k ↔ g' =O[l] k :=
⟨h.symm.trans_isBigO, h.trans_isBigO⟩
#align asymptotics.is_Theta.is_O_congr_left Asymptotics.IsTheta.isBigO_congr_left
theorem IsTheta.isBigO_congr_right (h : g' =Θ[l] k') : f =O[l] g' ↔ f =O[l] k' :=
⟨fun H ↦ H.trans_isTheta h, fun H ↦ H.trans_isTheta h.symm⟩
#align asymptotics.is_Theta.is_O_congr_right Asymptotics.IsTheta.isBigO_congr_right
lemma IsTheta.isTheta_congr_left (h : f' =Θ[l] g') : f' =Θ[l] k ↔ g' =Θ[l] k :=
h.isBigO_congr_left.and h.isBigO_congr_right
lemma IsTheta.isTheta_congr_right (h : f' =Θ[l] g') : k =Θ[l] f' ↔ k =Θ[l] g' :=
h.isBigO_congr_right.and h.isBigO_congr_left
theorem IsTheta.mono (h : f =Θ[l] g) (hl : l' ≤ l) : f =Θ[l'] g :=
⟨h.1.mono hl, h.2.mono hl⟩
#align asymptotics.is_Theta.mono Asymptotics.IsTheta.mono
theorem IsTheta.sup (h : f' =Θ[l] g') (h' : f' =Θ[l'] g') : f' =Θ[l ⊔ l'] g' :=
⟨h.1.sup h'.1, h.2.sup h'.2⟩
#align asymptotics.is_Theta.sup Asymptotics.IsTheta.sup
@[simp]
theorem isTheta_sup : f' =Θ[l ⊔ l'] g' ↔ f' =Θ[l] g' ∧ f' =Θ[l'] g' :=
⟨fun h ↦ ⟨h.mono le_sup_left, h.mono le_sup_right⟩, fun h ↦ h.1.sup h.2⟩
#align asymptotics.is_Theta_sup Asymptotics.isTheta_sup
theorem IsTheta.eq_zero_iff (h : f'' =Θ[l] g'') : ∀ᶠ x in l, f'' x = 0 ↔ g'' x = 0 :=
h.1.eq_zero_imp.mp <| h.2.eq_zero_imp.mono fun _ ↦ Iff.intro
#align asymptotics.is_Theta.eq_zero_iff Asymptotics.IsTheta.eq_zero_iff
theorem IsTheta.tendsto_zero_iff (h : f'' =Θ[l] g'') :
Tendsto f'' l (𝓝 0) ↔ Tendsto g'' l (𝓝 0) := by
simp only [← isLittleO_one_iff ℝ, h.isLittleO_congr_left]
#align asymptotics.is_Theta.tendsto_zero_iff Asymptotics.IsTheta.tendsto_zero_iff
theorem IsTheta.tendsto_norm_atTop_iff (h : f' =Θ[l] g') :
Tendsto (norm ∘ f') l atTop ↔ Tendsto (norm ∘ g') l atTop := by
simp only [Function.comp, ← isLittleO_const_left_of_ne (one_ne_zero' ℝ), h.isLittleO_congr_right]
#align asymptotics.is_Theta.tendsto_norm_at_top_iff Asymptotics.IsTheta.tendsto_norm_atTop_iff
theorem IsTheta.isBoundedUnder_le_iff (h : f' =Θ[l] g') :
IsBoundedUnder (· ≤ ·) l (norm ∘ f') ↔ IsBoundedUnder (· ≤ ·) l (norm ∘ g') := by
simp only [← isBigO_const_of_ne (one_ne_zero' ℝ), h.isBigO_congr_left]
#align asymptotics.is_Theta.is_bounded_under_le_iff Asymptotics.IsTheta.isBoundedUnder_le_iff
theorem IsTheta.smul [NormedSpace 𝕜 E'] [NormedSpace 𝕜' F'] {f₁ : α → 𝕜} {f₂ : α → 𝕜'} {g₁ : α → E'}
{g₂ : α → F'} (hf : f₁ =Θ[l] f₂) (hg : g₁ =Θ[l] g₂) :
(fun x ↦ f₁ x • g₁ x) =Θ[l] fun x ↦ f₂ x • g₂ x :=
⟨hf.1.smul hg.1, hf.2.smul hg.2⟩
#align asymptotics.is_Theta.smul Asymptotics.IsTheta.smul
theorem IsTheta.mul {f₁ f₂ : α → 𝕜} {g₁ g₂ : α → 𝕜'} (h₁ : f₁ =Θ[l] g₁) (h₂ : f₂ =Θ[l] g₂) :
(fun x ↦ f₁ x * f₂ x) =Θ[l] fun x ↦ g₁ x * g₂ x :=
h₁.smul h₂
#align asymptotics.is_Theta.mul Asymptotics.IsTheta.mul
theorem IsTheta.inv {f : α → 𝕜} {g : α → 𝕜'} (h : f =Θ[l] g) :
(fun x ↦ (f x)⁻¹) =Θ[l] fun x ↦ (g x)⁻¹ :=
⟨h.2.inv_rev h.1.eq_zero_imp, h.1.inv_rev h.2.eq_zero_imp⟩
#align asymptotics.is_Theta.inv Asymptotics.IsTheta.inv
@[simp]
theorem isTheta_inv {f : α → 𝕜} {g : α → 𝕜'} :
((fun x ↦ (f x)⁻¹) =Θ[l] fun x ↦ (g x)⁻¹) ↔ f =Θ[l] g :=
⟨fun h ↦ by simpa only [inv_inv] using h.inv, IsTheta.inv⟩
#align asymptotics.is_Theta_inv Asymptotics.isTheta_inv
theorem IsTheta.div {f₁ f₂ : α → 𝕜} {g₁ g₂ : α → 𝕜'} (h₁ : f₁ =Θ[l] g₁) (h₂ : f₂ =Θ[l] g₂) :
(fun x ↦ f₁ x / f₂ x) =Θ[l] fun x ↦ g₁ x / g₂ x := by
simpa only [div_eq_mul_inv] using h₁.mul h₂.inv
#align asymptotics.is_Theta.div Asymptotics.IsTheta.div
theorem IsTheta.pow {f : α → 𝕜} {g : α → 𝕜'} (h : f =Θ[l] g) (n : ℕ) :
(fun x ↦ f x ^ n) =Θ[l] fun x ↦ g x ^ n :=
⟨h.1.pow n, h.2.pow n⟩
#align asymptotics.is_Theta.pow Asymptotics.IsTheta.pow
theorem IsTheta.zpow {f : α → 𝕜} {g : α → 𝕜'} (h : f =Θ[l] g) (n : ℤ) :
(fun x ↦ f x ^ n) =Θ[l] fun x ↦ g x ^ n := by
cases n
· simpa only [Int.ofNat_eq_coe, zpow_natCast] using h.pow _
· simpa only [zpow_negSucc] using (h.pow _).inv
#align asymptotics.is_Theta.zpow Asymptotics.IsTheta.zpow
theorem isTheta_const_const {c₁ : E''} {c₂ : F''} (h₁ : c₁ ≠ 0) (h₂ : c₂ ≠ 0) :
(fun _ : α ↦ c₁) =Θ[l] fun _ ↦ c₂ :=
⟨isBigO_const_const _ h₂ _, isBigO_const_const _ h₁ _⟩
#align asymptotics.is_Theta_const_const Asymptotics.isTheta_const_const
@[simp]
theorem isTheta_const_const_iff [NeBot l] {c₁ : E''} {c₂ : F''} :
((fun _ : α ↦ c₁) =Θ[l] fun _ ↦ c₂) ↔ (c₁ = 0 ↔ c₂ = 0) := by
simpa only [IsTheta, isBigO_const_const_iff, ← iff_def] using Iff.comm
#align asymptotics.is_Theta_const_const_iff Asymptotics.isTheta_const_const_iff
@[simp]
| Mathlib/Analysis/Asymptotics/Theta.lean | 280 | 281 | theorem isTheta_zero_left : (fun _ ↦ (0 : E')) =Θ[l] g'' ↔ g'' =ᶠ[l] 0 := by |
simp only [IsTheta, isBigO_zero, isBigO_zero_right_iff, true_and_iff]
|
/-
Copyright (c) 2022 Eric Rodriguez. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Rodriguez
-/
import Mathlib.Analysis.InnerProductSpace.Basic
import Mathlib.Analysis.SpecialFunctions.Complex.Arg
#align_import analysis.complex.arg from "leanprover-community/mathlib"@"45a46f4f03f8ae41491bf3605e8e0e363ba192fd"
/-!
# Rays in the complex numbers
This file links the definition `SameRay ℝ x y` with the equality of arguments of complex numbers,
the usual way this is considered.
## Main statements
* `Complex.sameRay_iff` : Two complex numbers are on the same ray iff one of them is zero, or they
have the same argument.
* `Complex.abs_add_eq/Complex.abs_sub_eq`: If two non zero complex numbers have the same argument,
then the triangle inequality is an equality.
-/
variable {x y : ℂ}
namespace Complex
theorem sameRay_iff : SameRay ℝ x y ↔ x = 0 ∨ y = 0 ∨ x.arg = y.arg := by
rcases eq_or_ne x 0 with (rfl | hx)
· simp
rcases eq_or_ne y 0 with (rfl | hy)
· simp
simp only [hx, hy, false_or_iff, sameRay_iff_norm_smul_eq, arg_eq_arg_iff hx hy]
field_simp [hx, hy]
rw [mul_comm, eq_comm]
#align complex.same_ray_iff Complex.sameRay_iff
| Mathlib/Analysis/Complex/Arg.lean | 41 | 45 | theorem sameRay_iff_arg_div_eq_zero : SameRay ℝ x y ↔ arg (x / y) = 0 := by |
rw [← Real.Angle.toReal_zero, ← arg_coe_angle_eq_iff_eq_toReal, sameRay_iff]
by_cases hx : x = 0; · simp [hx]
by_cases hy : y = 0; · simp [hy]
simp [hx, hy, arg_div_coe_angle, sub_eq_zero]
|
/-
Copyright (c) 2023 Michael Stoll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Stoll
-/
import Mathlib.Analysis.Normed.Field.InfiniteSum
import Mathlib.Analysis.SpecificLimits.Normed
import Mathlib.NumberTheory.ArithmeticFunction
import Mathlib.NumberTheory.SmoothNumbers
/-!
# Euler Products
The main result in this file is `EulerProduct.eulerProduct_hasProd`, which says that
if `f : ℕ → R` is norm-summable, where `R` is a complete normed commutative ring and `f` is
multiplicative on coprime arguments with `f 0 = 0`, then
`∏' p : Primes, ∑' e : ℕ, f (p^e)` converges to `∑' n, f n`.
`ArithmeticFunction.IsMultiplicative.eulerProduct_hasProd` is a version
for multiplicative arithmetic functions in the sense of
`ArithmeticFunction.IsMultiplicative`.
There is also a version `EulerProduct.eulerProduct_completely_multiplicative_hasProd`,
which states that `∏' p : Primes, (1 - f p)⁻¹` converges to `∑' n, f n`
when `f` is completely multiplicative with values in a complete normed field `F`
(implemented as `f : ℕ →*₀ F`).
There are variants stating the equality of the infinite product and the infinite sum
(`EulerProduct.eulerProduct_tprod`, `ArithmeticFunction.IsMultiplicative.eulerProduct_tprod`,
`EulerProduct.eulerProduct_completely_multiplicative_tprod`) and also variants stating
the convergence of the sequence of partial products over primes `< n`
(`EulerProduct.eulerProduct`, `ArithmeticFunction.IsMultiplicative.eulerProduct`,
`EulerProduct.eulerProduct_completely_multiplicative`.)
An intermediate step is `EulerProduct.summable_and_hasSum_factoredNumbers_prod_filter_prime_tsum`
(and its variant `EulerProduct.summable_and_hasSum_factoredNumbers_prod_filter_prime_geometric`),
which relates the finite product over primes `p ∈ s` to the sum of `f n` over `s`-factored `n`,
for `s : Finset ℕ`.
## Tags
Euler product, multiplicative function
-/
/-- If `f` is multiplicative and summable, then its values at natural numbers `> 1`
have norm strictly less than `1`. -/
lemma Summable.norm_lt_one {F : Type*} [NormedField F] [CompleteSpace F] {f : ℕ →* F}
(hsum : Summable f) {p : ℕ} (hp : 1 < p) :
‖f p‖ < 1 := by
refine summable_geometric_iff_norm_lt_one.mp ?_
simp_rw [← map_pow]
exact hsum.comp_injective <| Nat.pow_right_injective hp
open scoped Topology
open Nat Finset
section General
/-!
### General Euler Products
In this section we consider multiplicative (on coprime arguments) functions `f : ℕ → R`,
where `R` is a complete normed commutative ring. The main result is `EulerProduct.eulerProduct`.
-/
variable {R : Type*} [NormedCommRing R] [CompleteSpace R] {f : ℕ → R}
variable (hf₁ : f 1 = 1) (hmul : ∀ {m n}, Nat.Coprime m n → f (m * n) = f m * f n)
-- local instance to speed up typeclass search
@[local instance] private lemma instT0Space : T0Space R := MetricSpace.instT0Space
namespace EulerProduct
/-- We relate a finite product over primes in `s` to an infinite sum over `s`-factored numbers. -/
lemma summable_and_hasSum_factoredNumbers_prod_filter_prime_tsum
(hsum : ∀ {p : ℕ}, p.Prime → Summable (fun n : ℕ ↦ ‖f (p ^ n)‖)) (s : Finset ℕ) :
Summable (fun m : factoredNumbers s ↦ ‖f m‖) ∧
HasSum (fun m : factoredNumbers s ↦ f m)
(∏ p ∈ s.filter Nat.Prime, ∑' n : ℕ, f (p ^ n)) := by
induction' s using Finset.induction with p s hp ih
· rw [factoredNumbers_empty]
simp only [not_mem_empty, IsEmpty.forall_iff, forall_const, filter_true_of_mem, prod_empty]
exact ⟨(Set.finite_singleton 1).summable (‖f ·‖), hf₁ ▸ hasSum_singleton 1 f⟩
· rw [filter_insert]
split_ifs with hpp
· constructor
· simp only [← (equivProdNatFactoredNumbers hpp hp).summable_iff, Function.comp_def,
equivProdNatFactoredNumbers_apply', factoredNumbers.map_prime_pow_mul hmul hpp hp]
refine Summable.of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun _ ↦ norm_mul_le ..) ?_
apply Summable.mul_of_nonneg (hsum hpp) ih.1 <;> exact fun n ↦ norm_nonneg _
· have hp' : p ∉ s.filter Nat.Prime := mt (mem_of_mem_filter p) hp
rw [prod_insert hp', ← (equivProdNatFactoredNumbers hpp hp).hasSum_iff, Function.comp_def]
conv =>
enter [1, x]
rw [equivProdNatFactoredNumbers_apply', factoredNumbers.map_prime_pow_mul hmul hpp hp]
have : T3Space R := instT3Space -- speeds up the following
apply (hsum hpp).of_norm.hasSum.mul ih.2
-- `exact summable_mul_of_summable_norm (hsum hpp) ih.1` gives a time-out
apply summable_mul_of_summable_norm (hsum hpp) ih.1
· rwa [factoredNumbers_insert s hpp]
/-- A version of `EulerProduct.summable_and_hasSum_factoredNumbers_prod_filter_prime_tsum`
in terms of the value of the series. -/
lemma prod_filter_prime_tsum_eq_tsum_factoredNumbers (hsum : Summable (‖f ·‖)) (s : Finset ℕ) :
∏ p ∈ s.filter Nat.Prime, ∑' n : ℕ, f (p ^ n) = ∑' m : factoredNumbers s, f m :=
(summable_and_hasSum_factoredNumbers_prod_filter_prime_tsum hf₁ hmul
(fun hp ↦ hsum.comp_injective <| Nat.pow_right_injective hp.one_lt) _).2.tsum_eq.symm
/-- The following statement says that summing over `s`-factored numbers such that
`s` contains `primesBelow N` for large enough `N` gets us arbitrarily close to the sum
over all natural numbers (assuming `f` is summable and `f 0 = 0`; the latter since
`0` is not `s`-factored). -/
lemma norm_tsum_factoredNumbers_sub_tsum_lt (hsum : Summable f) (hf₀ : f 0 = 0) {ε : ℝ}
(εpos : 0 < ε) :
∃ N : ℕ, ∀ s : Finset ℕ, primesBelow N ≤ s →
‖(∑' m : ℕ, f m) - ∑' m : factoredNumbers s, f m‖ < ε := by
obtain ⟨N, hN⟩ :=
summable_iff_nat_tsum_vanishing.mp hsum (Metric.ball 0 ε) <| Metric.ball_mem_nhds 0 εpos
simp_rw [mem_ball_zero_iff] at hN
refine ⟨N, fun s hs ↦ ?_⟩
have := hN _ <| factoredNumbers_compl hs
rwa [← tsum_subtype_add_tsum_subtype_compl hsum (factoredNumbers s),
add_sub_cancel_left, tsum_eq_tsum_diff_singleton (factoredNumbers s)ᶜ hf₀]
-- Versions of the three lemmas above for `smoothNumbers N`
/-- We relate a finite product over primes to an infinite sum over smooth numbers. -/
lemma summable_and_hasSum_smoothNumbers_prod_primesBelow_tsum
(hsum : ∀ {p : ℕ}, p.Prime → Summable (fun n : ℕ ↦ ‖f (p ^ n)‖)) (N : ℕ) :
Summable (fun m : N.smoothNumbers ↦ ‖f m‖) ∧
HasSum (fun m : N.smoothNumbers ↦ f m) (∏ p ∈ N.primesBelow, ∑' n : ℕ, f (p ^ n)) := by
rw [smoothNumbers_eq_factoredNumbers, primesBelow]
exact summable_and_hasSum_factoredNumbers_prod_filter_prime_tsum hf₁ hmul hsum _
/-- A version of `EulerProduct.summable_and_hasSum_smoothNumbers_prod_primesBelow_tsum`
in terms of the value of the series. -/
lemma prod_primesBelow_tsum_eq_tsum_smoothNumbers (hsum : Summable (‖f ·‖)) (N : ℕ) :
∏ p ∈ N.primesBelow, ∑' n : ℕ, f (p ^ n) = ∑' m : N.smoothNumbers, f m :=
(summable_and_hasSum_smoothNumbers_prod_primesBelow_tsum hf₁ hmul
(fun hp ↦ hsum.comp_injective <| Nat.pow_right_injective hp.one_lt) _).2.tsum_eq.symm
/-- The following statement says that summing over `N`-smooth numbers
for large enough `N` gets us arbitrarily close to the sum over all natural numbers
(assuming `f` is norm-summable and `f 0 = 0`; the latter since `0` is not smooth). -/
lemma norm_tsum_smoothNumbers_sub_tsum_lt (hsum : Summable f) (hf₀ : f 0 = 0)
{ε : ℝ} (εpos : 0 < ε) :
∃ N₀ : ℕ, ∀ N ≥ N₀, ‖(∑' m : ℕ, f m) - ∑' m : N.smoothNumbers, f m‖ < ε := by
conv => enter [1, N₀, N]; rw [smoothNumbers_eq_factoredNumbers]
obtain ⟨N₀, hN₀⟩ := norm_tsum_factoredNumbers_sub_tsum_lt hsum hf₀ εpos
refine ⟨N₀, fun N hN ↦ hN₀ (range N) fun p hp ↦ ?_⟩
exact mem_range.mpr <| (lt_of_mem_primesBelow hp).trans_le hN
/-- The *Euler Product* for multiplicative (on coprime arguments) functions.
If `f : ℕ → R`, where `R` is a complete normed commutative ring, `f 0 = 0`, `f 1 = 1`, `f` is
multiplicative on coprime arguments, and `‖f ·‖` is summable, then
`∏' p : Nat.Primes, ∑' e, f (p ^ e) = ∑' n, f n`. This version is stated using `HasProd`. -/
theorem eulerProduct_hasProd (hsum : Summable (‖f ·‖)) (hf₀ : f 0 = 0) :
HasProd (fun p : Primes ↦ ∑' e, f (p ^ e)) (∑' n, f n) := by
let F : ℕ → R := fun n ↦ ∑' e, f (n ^ e)
change HasProd (F ∘ Subtype.val) _
rw [hasProd_subtype_iff_mulIndicator,
show Set.mulIndicator (fun p : ℕ ↦ Irreducible p) = {p | Nat.Prime p}.mulIndicator from rfl,
HasProd, Metric.tendsto_atTop]
intro ε hε
obtain ⟨N₀, hN₀⟩ := norm_tsum_factoredNumbers_sub_tsum_lt hsum.of_norm hf₀ hε
refine ⟨range N₀, fun s hs ↦ ?_⟩
have : ∏ p ∈ s, {p | Nat.Prime p}.mulIndicator F p = ∏ p ∈ s.filter Nat.Prime, F p :=
prod_mulIndicator_eq_prod_filter s (fun _ ↦ F) _ id
rw [this, dist_eq_norm, prod_filter_prime_tsum_eq_tsum_factoredNumbers hf₁ hmul hsum,
norm_sub_rev]
exact hN₀ s fun p hp ↦ hs <| mem_range.mpr <| lt_of_mem_primesBelow hp
/-- The *Euler Product* for multiplicative (on coprime arguments) functions.
If `f : ℕ → R`, where `R` is a complete normed commutative ring, `f 0 = 0`, `f 1 = 1`, `f` i
multiplicative on coprime arguments, and `‖f ·‖` is summable, then
`∏' p : ℕ, if p.Prime then ∑' e, f (p ^ e) else 1 = ∑' n, f n`.
This version is stated using `HasProd` and `Set.mulIndicator`. -/
theorem eulerProduct_hasProd_mulIndicator (hsum : Summable (‖f ·‖)) (hf₀ : f 0 = 0) :
HasProd (Set.mulIndicator {p | Nat.Prime p} fun p ↦ ∑' e, f (p ^ e)) (∑' n, f n) := by
rw [← hasProd_subtype_iff_mulIndicator]
exact eulerProduct_hasProd hf₁ hmul hsum hf₀
open Filter in
/-- The *Euler Product* for multiplicative (on coprime arguments) functions.
If `f : ℕ → R`, where `R` is a complete normed commutative ring, `f 0 = 0`, `f 1 = 1`, `f` is
multiplicative on coprime arguments, and `‖f ·‖` is summable, then
`∏' p : {p : ℕ | p.Prime}, ∑' e, f (p ^ e) = ∑' n, f n`.
This is a version using convergence of finite partial products. -/
theorem eulerProduct (hsum : Summable (‖f ·‖)) (hf₀ : f 0 = 0) :
Tendsto (fun n : ℕ ↦ ∏ p ∈ primesBelow n, ∑' e, f (p ^ e)) atTop (𝓝 (∑' n, f n)) := by
have := (eulerProduct_hasProd_mulIndicator hf₁ hmul hsum hf₀).tendsto_prod_nat
let F : ℕ → R := fun p ↦ ∑' (e : ℕ), f (p ^ e)
have H (n : ℕ) : ∏ i ∈ range n, Set.mulIndicator {p | Nat.Prime p} F i =
∏ p ∈ primesBelow n, ∑' (e : ℕ), f (p ^ e) :=
prod_mulIndicator_eq_prod_filter (range n) (fun _ ↦ F) (fun _ ↦ {p | Nat.Prime p}) id
simpa only [H]
/-- The *Euler Product* for multiplicative (on coprime arguments) functions.
If `f : ℕ → R`, where `R` is a complete normed commutative ring, `f 0 = 0`, `f 1 = 1`, `f` is
multiplicative on coprime arguments, and `‖f ·‖` is summable, then
`∏' p : {p : ℕ | p.Prime}, ∑' e, f (p ^ e) = ∑' n, f n`. -/
theorem eulerProduct_tprod (hsum : Summable (‖f ·‖)) (hf₀ : f 0 = 0) :
∏' p : Primes, ∑' e, f (p ^ e) = ∑' n, f n :=
(eulerProduct_hasProd hf₁ hmul hsum hf₀).tprod_eq
end EulerProduct
/-!
### Versions for arithmetic functions
-/
namespace ArithmeticFunction
open EulerProduct
/-- The *Euler Product* for a multiplicative arithmetic function `f` with values in a
complete normed commutative ring `R`: if `‖f ·‖` is summable, then
`∏' p : Nat.Primes, ∑' e, f (p ^ e) = ∑' n, f n`.
This version is stated in terms of `HasProd`. -/
nonrec theorem IsMultiplicative.eulerProduct_hasProd {f : ArithmeticFunction R}
(hf : f.IsMultiplicative) (hsum : Summable (‖f ·‖)) :
HasProd (fun p : Primes ↦ ∑' e, f (p ^ e)) (∑' n, f n) :=
eulerProduct_hasProd hf.1 hf.2 hsum f.map_zero
open Filter in
/-- The *Euler Product* for a multiplicative arithmetic function `f` with values in a
complete normed commutative ring `R`: if `‖f ·‖` is summable, then
`∏' p : Nat.Primes, ∑' e, f (p ^ e) = ∑' n, f n`.
This version is stated in the form of convergence of finite partial products. -/
nonrec theorem IsMultiplicative.eulerProduct {f : ArithmeticFunction R} (hf : f.IsMultiplicative)
(hsum : Summable (‖f ·‖)) :
Tendsto (fun n : ℕ ↦ ∏ p ∈ primesBelow n, ∑' e, f (p ^ e)) atTop (𝓝 (∑' n, f n)) :=
eulerProduct hf.1 hf.2 hsum f.map_zero
/-- The *Euler Product* for a multiplicative arithmetic function `f` with values in a
complete normed commutative ring `R`: if `‖f ·‖` is summable, then
`∏' p : Nat.Primes, ∑' e, f (p ^ e) = ∑' n, f n`. -/
nonrec theorem IsMultiplicative.eulerProduct_tprod {f : ArithmeticFunction R}
(hf : f.IsMultiplicative) (hsum : Summable (‖f ·‖)) :
∏' p : Primes, ∑' e, f (p ^ e) = ∑' n, f n :=
eulerProduct_tprod hf.1 hf.2 hsum f.map_zero
end ArithmeticFunction
end General
section CompletelyMultiplicative
/-!
### Euler Products for completely multiplicative functions
We now assume that `f` is completely multiplicative and has values in a complete normed field `F`.
Then we can use the formula for geometric series to simplify the statement. This leads to
`EulerProduct.eulerProduct_completely_multiplicative_hasProd` and variants.
-/
variable {F : Type*} [NormedField F] [CompleteSpace F]
namespace EulerProduct
-- a helper lemma that is useful below
lemma one_sub_inv_eq_geometric_of_summable_norm {f : ℕ →*₀ F} {p : ℕ} (hp : p.Prime)
(hsum : Summable fun x ↦ ‖f x‖) :
(1 - f p)⁻¹ = ∑' (e : ℕ), f (p ^ e) := by
simp only [map_pow]
refine (tsum_geometric_of_norm_lt_one <| summable_geometric_iff_norm_lt_one.mp ?_).symm
refine Summable.of_norm ?_
simpa only [Function.comp_def, map_pow]
using hsum.comp_injective <| Nat.pow_right_injective hp.one_lt
/-- Given a (completely) multiplicative function `f : ℕ → F`, where `F` is a normed field,
such that `‖f p‖ < 1` for all primes `p`, we can express the sum of `f n` over all `s`-factored
positive integers `n` as a product of `(1 - f p)⁻¹` over the primes `p ∈ s`. At the same time,
we show that the sum involved converges absolutely. -/
lemma summable_and_hasSum_factoredNumbers_prod_filter_prime_geometric {f : ℕ →* F}
(h : ∀ {p : ℕ}, p.Prime → ‖f p‖ < 1) (s : Finset ℕ) :
Summable (fun m : factoredNumbers s ↦ ‖f m‖) ∧
HasSum (fun m : factoredNumbers s ↦ f m) (∏ p ∈ s.filter Nat.Prime, (1 - f p)⁻¹) := by
have hmul {m n} (_ : Nat.Coprime m n) := f.map_mul m n
have H₁ :
∏ p ∈ s.filter Nat.Prime, ∑' n : ℕ, f (p ^ n) = ∏ p ∈ s.filter Nat.Prime, (1 - f p)⁻¹ := by
refine prod_congr rfl fun p hp ↦ ?_
simp only [map_pow]
exact tsum_geometric_of_norm_lt_one <| h (mem_filter.mp hp).2
have H₂ : ∀ {p : ℕ}, p.Prime → Summable fun n ↦ ‖f (p ^ n)‖ := by
intro p hp
simp only [map_pow]
refine Summable.of_nonneg_of_le (fun _ ↦ norm_nonneg _) (fun _ ↦ norm_pow_le ..) ?_
exact summable_geometric_iff_norm_lt_one.mpr <| (norm_norm (f p)).symm ▸ h hp
exact H₁ ▸ summable_and_hasSum_factoredNumbers_prod_filter_prime_tsum f.map_one hmul H₂ s
/-- A version of `EulerProduct.summable_and_hasSum_factoredNumbers_prod_filter_prime_geometric`
in terms of the value of the series. -/
lemma prod_filter_prime_geometric_eq_tsum_factoredNumbers {f : ℕ →* F} (hsum : Summable f)
(s : Finset ℕ) :
∏ p ∈ s.filter Nat.Prime, (1 - f p)⁻¹ = ∑' m : factoredNumbers s, f m := by
refine (summable_and_hasSum_factoredNumbers_prod_filter_prime_geometric ?_ s).2.tsum_eq.symm
exact fun {_} hp ↦ hsum.norm_lt_one hp.one_lt
/-- Given a (completely) multiplicative function `f : ℕ → F`, where `F` is a normed field,
such that `‖f p‖ < 1` for all primes `p`, we can express the sum of `f n` over all `N`-smooth
positive integers `n` as a product of `(1 - f p)⁻¹` over the primes `p < N`. At the same time,
we show that the sum involved converges absolutely. -/
lemma summable_and_hasSum_smoothNumbers_prod_primesBelow_geometric {f : ℕ →* F}
(h : ∀ {p : ℕ}, p.Prime → ‖f p‖ < 1) (N : ℕ) :
Summable (fun m : N.smoothNumbers ↦ ‖f m‖) ∧
HasSum (fun m : N.smoothNumbers ↦ f m) (∏ p ∈ N.primesBelow, (1 - f p)⁻¹) := by
rw [smoothNumbers_eq_factoredNumbers, primesBelow]
exact summable_and_hasSum_factoredNumbers_prod_filter_prime_geometric h _
/-- A version of `EulerProduct.summable_and_hasSum_smoothNumbers_prod_primesBelow_geometric`
in terms of the value of the series. -/
lemma prod_primesBelow_geometric_eq_tsum_smoothNumbers {f : ℕ →* F} (hsum : Summable f) (N : ℕ) :
∏ p ∈ N.primesBelow, (1 - f p)⁻¹ = ∑' m : N.smoothNumbers, f m := by
rw [smoothNumbers_eq_factoredNumbers, primesBelow]
exact prod_filter_prime_geometric_eq_tsum_factoredNumbers hsum _
/-- The *Euler Product* for completely multiplicative functions.
If `f : ℕ →*₀ F`, where `F` is a complete normed field and `‖f ·‖` is summable, then
`∏' p : Nat.Primes, (1 - f p)⁻¹ = ∑' n, f n`.
This version is stated in terms of `HasProd`. -/
theorem eulerProduct_completely_multiplicative_hasProd {f : ℕ →*₀ F} (hsum : Summable (‖f ·‖)) :
HasProd (fun p : Primes ↦ (1 - f p)⁻¹) (∑' n, f n) := by
have H : (fun p : Primes ↦ (1 - f p)⁻¹) = fun p : Primes ↦ ∑' (e : ℕ), f (p ^ e) :=
funext <| fun p ↦ one_sub_inv_eq_geometric_of_summable_norm p.prop hsum
simpa only [map_pow, H]
using eulerProduct_hasProd f.map_one (fun {m n} _ ↦ f.map_mul m n) hsum f.map_zero
/-- The *Euler Product* for completely multiplicative functions.
If `f : ℕ →*₀ F`, where `F` is a complete normed field and `‖f ·‖` is summable, then
`∏' p : Nat.Primes, (1 - f p)⁻¹ = ∑' n, f n`. -/
theorem eulerProduct_completely_multiplicative_tprod {f : ℕ →*₀ F} (hsum : Summable (‖f ·‖)) :
∏' p : Primes, (1 - f p)⁻¹ = ∑' n, f n :=
(eulerProduct_completely_multiplicative_hasProd hsum).tprod_eq
open Filter in
/-- The *Euler Product* for completely multiplicative functions.
If `f : ℕ →*₀ F`, where `F` is a complete normed field and `‖f ·‖` is summable, then
`∏' p : Nat.Primes, (1 - f p)⁻¹ = ∑' n, f n`.
This version is stated in the form of convergence of finite partial products. -/
| Mathlib/NumberTheory/EulerProduct/Basic.lean | 350 | 361 | theorem eulerProduct_completely_multiplicative {f : ℕ →*₀ F} (hsum : Summable (‖f ·‖)) :
Tendsto (fun n : ℕ ↦ ∏ p ∈ primesBelow n, (1 - f p)⁻¹) atTop (𝓝 (∑' n, f n)) := by |
have hmul {m n} (_ : Nat.Coprime m n) := f.map_mul m n
have := (eulerProduct_hasProd_mulIndicator f.map_one hmul hsum f.map_zero).tendsto_prod_nat
have H (n : ℕ) : ∏ p ∈ range n, {p | Nat.Prime p}.mulIndicator (fun p ↦ (1 - f p)⁻¹) p =
∏ p ∈ primesBelow n, (1 - f p)⁻¹ :=
prod_mulIndicator_eq_prod_filter
(range n) (fun _ ↦ fun p ↦ (1 - f p)⁻¹) (fun _ ↦ {p | Nat.Prime p}) id
have H' : {p | Nat.Prime p}.mulIndicator (fun p ↦ (1 - f p)⁻¹) =
{p | Nat.Prime p}.mulIndicator (fun p ↦ ∑' e : ℕ, f (p ^ e)) :=
Set.mulIndicator_congr fun p hp ↦ one_sub_inv_eq_geometric_of_summable_norm hp hsum
simpa only [← H, H'] using this
|
/-
Copyright (c) 2022 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.RingTheory.DedekindDomain.Ideal
#align_import number_theory.ramification_inertia from "leanprover-community/mathlib"@"039a089d2a4b93c761b234f3e5f5aeb752bac60f"
/-!
# Ramification index and inertia degree
Given `P : Ideal S` lying over `p : Ideal R` for the ring extension `f : R →+* S`
(assuming `P` and `p` are prime or maximal where needed),
the **ramification index** `Ideal.ramificationIdx f p P` is the multiplicity of `P` in `map f p`,
and the **inertia degree** `Ideal.inertiaDeg f p P` is the degree of the field extension
`(S / P) : (R / p)`.
## Main results
The main theorem `Ideal.sum_ramification_inertia` states that for all coprime `P` lying over `p`,
`Σ P, ramification_idx f p P * inertia_deg f p P` equals the degree of the field extension
`Frac(S) : Frac(R)`.
## Implementation notes
Often the above theory is set up in the case where:
* `R` is the ring of integers of a number field `K`,
* `L` is a finite separable extension of `K`,
* `S` is the integral closure of `R` in `L`,
* `p` and `P` are maximal ideals,
* `P` is an ideal lying over `p`
We will try to relax the above hypotheses as much as possible.
## Notation
In this file, `e` stands for the ramification index and `f` for the inertia degree of `P` over `p`,
leaving `p` and `P` implicit.
-/
namespace Ideal
universe u v
variable {R : Type u} [CommRing R]
variable {S : Type v} [CommRing S] (f : R →+* S)
variable (p : Ideal R) (P : Ideal S)
open FiniteDimensional
open UniqueFactorizationMonoid
section DecEq
open scoped Classical
/-- The ramification index of `P` over `p` is the largest exponent `n` such that
`p` is contained in `P^n`.
In particular, if `p` is not contained in `P^n`, then the ramification index is 0.
If there is no largest such `n` (e.g. because `p = ⊥`), then `ramificationIdx` is
defined to be 0.
-/
noncomputable def ramificationIdx : ℕ := sSup {n | map f p ≤ P ^ n}
#align ideal.ramification_idx Ideal.ramificationIdx
variable {f p P}
theorem ramificationIdx_eq_find (h : ∃ n, ∀ k, map f p ≤ P ^ k → k ≤ n) :
ramificationIdx f p P = Nat.find h :=
Nat.sSup_def h
#align ideal.ramification_idx_eq_find Ideal.ramificationIdx_eq_find
theorem ramificationIdx_eq_zero (h : ∀ n : ℕ, ∃ k, map f p ≤ P ^ k ∧ n < k) :
ramificationIdx f p P = 0 :=
dif_neg (by push_neg; exact h)
#align ideal.ramification_idx_eq_zero Ideal.ramificationIdx_eq_zero
theorem ramificationIdx_spec {n : ℕ} (hle : map f p ≤ P ^ n) (hgt : ¬map f p ≤ P ^ (n + 1)) :
ramificationIdx f p P = n := by
let Q : ℕ → Prop := fun m => ∀ k : ℕ, map f p ≤ P ^ k → k ≤ m
have : Q n := by
intro k hk
refine le_of_not_lt fun hnk => ?_
exact hgt (hk.trans (Ideal.pow_le_pow_right hnk))
rw [ramificationIdx_eq_find ⟨n, this⟩]
refine le_antisymm (Nat.find_min' _ this) (le_of_not_gt fun h : Nat.find _ < n => ?_)
obtain this' := Nat.find_spec ⟨n, this⟩
exact h.not_le (this' _ hle)
#align ideal.ramification_idx_spec Ideal.ramificationIdx_spec
theorem ramificationIdx_lt {n : ℕ} (hgt : ¬map f p ≤ P ^ n) : ramificationIdx f p P < n := by
cases' n with n n
· simp at hgt
· rw [Nat.lt_succ_iff]
have : ∀ k, map f p ≤ P ^ k → k ≤ n := by
refine fun k hk => le_of_not_lt fun hnk => ?_
exact hgt (hk.trans (Ideal.pow_le_pow_right hnk))
rw [ramificationIdx_eq_find ⟨n, this⟩]
exact Nat.find_min' ⟨n, this⟩ this
#align ideal.ramification_idx_lt Ideal.ramificationIdx_lt
@[simp]
theorem ramificationIdx_bot : ramificationIdx f ⊥ P = 0 :=
dif_neg <| not_exists.mpr fun n hn => n.lt_succ_self.not_le (hn _ (by simp))
#align ideal.ramification_idx_bot Ideal.ramificationIdx_bot
@[simp]
theorem ramificationIdx_of_not_le (h : ¬map f p ≤ P) : ramificationIdx f p P = 0 :=
ramificationIdx_spec (by simp) (by simpa using h)
#align ideal.ramification_idx_of_not_le Ideal.ramificationIdx_of_not_le
theorem ramificationIdx_ne_zero {e : ℕ} (he : e ≠ 0) (hle : map f p ≤ P ^ e)
(hnle : ¬map f p ≤ P ^ (e + 1)) : ramificationIdx f p P ≠ 0 := by
rwa [ramificationIdx_spec hle hnle]
#align ideal.ramification_idx_ne_zero Ideal.ramificationIdx_ne_zero
theorem le_pow_of_le_ramificationIdx {n : ℕ} (hn : n ≤ ramificationIdx f p P) :
map f p ≤ P ^ n := by
contrapose! hn
exact ramificationIdx_lt hn
#align ideal.le_pow_of_le_ramification_idx Ideal.le_pow_of_le_ramificationIdx
theorem le_pow_ramificationIdx : map f p ≤ P ^ ramificationIdx f p P :=
le_pow_of_le_ramificationIdx (le_refl _)
#align ideal.le_pow_ramification_idx Ideal.le_pow_ramificationIdx
theorem le_comap_pow_ramificationIdx : p ≤ comap f (P ^ ramificationIdx f p P) :=
map_le_iff_le_comap.mp le_pow_ramificationIdx
#align ideal.le_comap_pow_ramification_idx Ideal.le_comap_pow_ramificationIdx
theorem le_comap_of_ramificationIdx_ne_zero (h : ramificationIdx f p P ≠ 0) : p ≤ comap f P :=
Ideal.map_le_iff_le_comap.mp <| le_pow_ramificationIdx.trans <| Ideal.pow_le_self <| h
#align ideal.le_comap_of_ramification_idx_ne_zero Ideal.le_comap_of_ramificationIdx_ne_zero
namespace IsDedekindDomain
variable [IsDedekindDomain S]
theorem ramificationIdx_eq_normalizedFactors_count (hp0 : map f p ≠ ⊥) (hP : P.IsPrime)
(hP0 : P ≠ ⊥) : ramificationIdx f p P = (normalizedFactors (map f p)).count P := by
have hPirr := (Ideal.prime_of_isPrime hP0 hP).irreducible
refine ramificationIdx_spec (Ideal.le_of_dvd ?_) (mt Ideal.dvd_iff_le.mpr ?_) <;>
rw [dvd_iff_normalizedFactors_le_normalizedFactors (pow_ne_zero _ hP0) hp0,
normalizedFactors_pow, normalizedFactors_irreducible hPirr, normalize_eq,
Multiset.nsmul_singleton, ← Multiset.le_count_iff_replicate_le]
exact (Nat.lt_succ_self _).not_le
#align ideal.is_dedekind_domain.ramification_idx_eq_normalized_factors_count Ideal.IsDedekindDomain.ramificationIdx_eq_normalizedFactors_count
theorem ramificationIdx_eq_factors_count (hp0 : map f p ≠ ⊥) (hP : P.IsPrime) (hP0 : P ≠ ⊥) :
ramificationIdx f p P = (factors (map f p)).count P := by
rw [IsDedekindDomain.ramificationIdx_eq_normalizedFactors_count hp0 hP hP0,
factors_eq_normalizedFactors]
#align ideal.is_dedekind_domain.ramification_idx_eq_factors_count Ideal.IsDedekindDomain.ramificationIdx_eq_factors_count
theorem ramificationIdx_ne_zero (hp0 : map f p ≠ ⊥) (hP : P.IsPrime) (le : map f p ≤ P) :
ramificationIdx f p P ≠ 0 := by
have hP0 : P ≠ ⊥ := by
rintro rfl
have := le_bot_iff.mp le
contradiction
have hPirr := (Ideal.prime_of_isPrime hP0 hP).irreducible
rw [IsDedekindDomain.ramificationIdx_eq_normalizedFactors_count hp0 hP hP0]
obtain ⟨P', hP', P'_eq⟩ :=
exists_mem_normalizedFactors_of_dvd hp0 hPirr (Ideal.dvd_iff_le.mpr le)
rwa [Multiset.count_ne_zero, associated_iff_eq.mp P'_eq]
#align ideal.is_dedekind_domain.ramification_idx_ne_zero Ideal.IsDedekindDomain.ramificationIdx_ne_zero
end IsDedekindDomain
variable (f p P)
attribute [local instance] Ideal.Quotient.field
/-- The inertia degree of `P : Ideal S` lying over `p : Ideal R` is the degree of the
extension `(S / P) : (R / p)`.
We do not assume `P` lies over `p` in the definition; we return `0` instead.
See `inertiaDeg_algebraMap` for the common case where `f = algebraMap R S`
and there is an algebra structure `R / p → S / P`.
-/
noncomputable def inertiaDeg [p.IsMaximal] : ℕ :=
if hPp : comap f P = p then
@finrank (R ⧸ p) (S ⧸ P) _ _ <|
@Algebra.toModule _ _ _ _ <|
RingHom.toAlgebra <|
Ideal.Quotient.lift p ((Ideal.Quotient.mk P).comp f) fun _ ha =>
Quotient.eq_zero_iff_mem.mpr <| mem_comap.mp <| hPp.symm ▸ ha
else 0
#align ideal.inertia_deg Ideal.inertiaDeg
-- Useful for the `nontriviality` tactic using `comap_eq_of_scalar_tower_quotient`.
@[simp]
theorem inertiaDeg_of_subsingleton [hp : p.IsMaximal] [hQ : Subsingleton (S ⧸ P)] :
inertiaDeg f p P = 0 := by
have := Ideal.Quotient.subsingleton_iff.mp hQ
subst this
exact dif_neg fun h => hp.ne_top <| h.symm.trans comap_top
#align ideal.inertia_deg_of_subsingleton Ideal.inertiaDeg_of_subsingleton
@[simp]
theorem inertiaDeg_algebraMap [Algebra R S] [Algebra (R ⧸ p) (S ⧸ P)]
[IsScalarTower R (R ⧸ p) (S ⧸ P)] [hp : p.IsMaximal] :
inertiaDeg (algebraMap R S) p P = finrank (R ⧸ p) (S ⧸ P) := by
nontriviality S ⧸ P using inertiaDeg_of_subsingleton, finrank_zero_of_subsingleton
have := comap_eq_of_scalar_tower_quotient (algebraMap (R ⧸ p) (S ⧸ P)).injective
rw [inertiaDeg, dif_pos this]
congr
refine Algebra.algebra_ext _ _ fun x' => Quotient.inductionOn' x' fun x => ?_
change Ideal.Quotient.lift p _ _ (Ideal.Quotient.mk p x) = algebraMap _ _ (Ideal.Quotient.mk p x)
rw [Ideal.Quotient.lift_mk, ← Ideal.Quotient.algebraMap_eq P, ← IsScalarTower.algebraMap_eq,
← Ideal.Quotient.algebraMap_eq, ← IsScalarTower.algebraMap_apply]
#align ideal.inertia_deg_algebra_map Ideal.inertiaDeg_algebraMap
end DecEq
section FinrankQuotientMap
open scoped nonZeroDivisors
variable [Algebra R S]
variable {K : Type*} [Field K] [Algebra R K] [hRK : IsFractionRing R K]
variable {L : Type*} [Field L] [Algebra S L] [IsFractionRing S L]
variable {V V' V'' : Type*}
variable [AddCommGroup V] [Module R V] [Module K V] [IsScalarTower R K V]
variable [AddCommGroup V'] [Module R V'] [Module S V'] [IsScalarTower R S V']
variable [AddCommGroup V''] [Module R V'']
variable (K)
/-- Let `V` be a vector space over `K = Frac(R)`, `S / R` a ring extension
and `V'` a module over `S`. If `b`, in the intersection `V''` of `V` and `V'`,
is linear independent over `S` in `V'`, then it is linear independent over `R` in `V`.
The statement we prove is actually slightly more general:
* it suffices that the inclusion `algebraMap R S : R → S` is nontrivial
* the function `f' : V'' → V'` doesn't need to be injective
-/
theorem FinrankQuotientMap.linearIndependent_of_nontrivial [IsDedekindDomain R]
(hRS : RingHom.ker (algebraMap R S) ≠ ⊤) (f : V'' →ₗ[R] V) (hf : Function.Injective f)
(f' : V'' →ₗ[R] V') {ι : Type*} {b : ι → V''} (hb' : LinearIndependent S (f' ∘ b)) :
LinearIndependent K (f ∘ b) := by
contrapose! hb' with hb
-- Informally, if we have a nontrivial linear dependence with coefficients `g` in `K`,
-- then we can find a linear dependence with coefficients `I.Quotient.mk g'` in `R/I`,
-- where `I = ker (algebraMap R S)`.
-- We make use of the same principle but stay in `R` everywhere.
simp only [linearIndependent_iff', not_forall] at hb ⊢
obtain ⟨s, g, eq, j', hj's, hj'g⟩ := hb
use s
obtain ⟨a, hag, j, hjs, hgI⟩ := Ideal.exist_integer_multiples_not_mem hRS s g hj's hj'g
choose g'' hg'' using hag
letI := Classical.propDecidable
let g' i := if h : i ∈ s then g'' i h else 0
have hg' : ∀ i ∈ s, algebraMap _ _ (g' i) = a * g i := by
intro i hi; exact (congr_arg _ (dif_pos hi)).trans (hg'' i hi)
-- Because `R/I` is nontrivial, we can lift `g` to a nontrivial linear dependence in `S`.
have hgI : algebraMap R S (g' j) ≠ 0 := by
simp only [FractionalIdeal.mem_coeIdeal, not_exists, not_and'] at hgI
exact hgI _ (hg' j hjs)
refine ⟨fun i => algebraMap R S (g' i), ?_, j, hjs, hgI⟩
have eq : f (∑ i ∈ s, g' i • b i) = 0 := by
rw [map_sum, ← smul_zero a, ← eq, Finset.smul_sum]
refine Finset.sum_congr rfl ?_
intro i hi
rw [LinearMap.map_smul, ← IsScalarTower.algebraMap_smul K, hg' i hi, ← smul_assoc,
smul_eq_mul, Function.comp_apply]
simp only [IsScalarTower.algebraMap_smul, ← map_smul, ← map_sum,
(f.map_eq_zero_iff hf).mp eq, LinearMap.map_zero, (· ∘ ·)]
#align ideal.finrank_quotient_map.linear_independent_of_nontrivial Ideal.FinrankQuotientMap.linearIndependent_of_nontrivial
open scoped Matrix
variable {K}
/-- If `b` mod `p` spans `S/p` as `R/p`-space, then `b` itself spans `Frac(S)` as `K`-space.
Here,
* `p` is an ideal of `R` such that `R / p` is nontrivial
* `K` is a field that has an embedding of `R` (in particular we can take `K = Frac(R)`)
* `L` is a field extension of `K`
* `S` is the integral closure of `R` in `L`
More precisely, we avoid quotients in this statement and instead require that `b ∪ pS` spans `S`.
-/
theorem FinrankQuotientMap.span_eq_top [IsDomain R] [IsDomain S] [Algebra K L] [IsNoetherian R S]
[Algebra R L] [IsScalarTower R S L] [IsScalarTower R K L] [IsIntegralClosure S R L]
[NoZeroSMulDivisors R K] (hp : p ≠ ⊤) (b : Set S)
(hb' : Submodule.span R b ⊔ (p.map (algebraMap R S)).restrictScalars R = ⊤) :
Submodule.span K (algebraMap S L '' b) = ⊤ := by
have hRL : Function.Injective (algebraMap R L) := by
rw [IsScalarTower.algebraMap_eq R K L]
exact (algebraMap K L).injective.comp (NoZeroSMulDivisors.algebraMap_injective R K)
-- Let `M` be the `R`-module spanned by the proposed basis elements.
let M : Submodule R S := Submodule.span R b
-- Then `S / M` is generated by some finite set of `n` vectors `a`.
letI h : Module.Finite R (S ⧸ M) :=
Module.Finite.of_surjective (Submodule.mkQ _) (Submodule.Quotient.mk_surjective _)
obtain ⟨n, a, ha⟩ := @Module.Finite.exists_fin _ _ _ _ _ h
-- Because the image of `p` in `S / M` is `⊤`,
have smul_top_eq : p • (⊤ : Submodule R (S ⧸ M)) = ⊤ := by
calc
p • ⊤ = Submodule.map M.mkQ (p • ⊤) := by
rw [Submodule.map_smul'', Submodule.map_top, M.range_mkQ]
_ = ⊤ := by rw [Ideal.smul_top_eq_map, (Submodule.map_mkQ_eq_top M _).mpr hb']
-- we can write the elements of `a` as `p`-linear combinations of other elements of `a`.
have exists_sum : ∀ x : S ⧸ M, ∃ a' : Fin n → R, (∀ i, a' i ∈ p) ∧ ∑ i, a' i • a i = x := by
intro x
obtain ⟨a'', ha'', hx⟩ := (Submodule.mem_ideal_smul_span_iff_exists_sum p a x).1
(by { rw [ha, smul_top_eq]; exact Submodule.mem_top } :
x ∈ p • Submodule.span R (Set.range a))
· refine ⟨fun i => a'' i, fun i => ha'' _, ?_⟩
rw [← hx, Finsupp.sum_fintype]
exact fun _ => zero_smul _ _
choose A' hA'p hA' using fun i => exists_sum (a i)
-- This gives us a(n invertible) matrix `A` such that `det A ∈ (M = span R b)`,
let A : Matrix (Fin n) (Fin n) R := Matrix.of A' - 1
let B := A.adjugate
have A_smul : ∀ i, ∑ j, A i j • a j = 0 := by
intros
simp [A, Matrix.sub_apply, Matrix.of_apply, ne_eq, Matrix.one_apply, sub_smul,
Finset.sum_sub_distrib, hA', sub_self]
-- since `span S {det A} / M = 0`.
have d_smul : ∀ i, A.det • a i = 0 := by
intro i
calc
A.det • a i = ∑ j, (B * A) i j • a j := ?_
_ = ∑ k, B i k • ∑ j, A k j • a j := ?_
_ = 0 := Finset.sum_eq_zero fun k _ => ?_
· simp only [B, Matrix.adjugate_mul, Matrix.smul_apply, Matrix.one_apply, smul_eq_mul, ite_true,
mul_ite, mul_one, mul_zero, ite_smul, zero_smul, Finset.sum_ite_eq, Finset.mem_univ]
· simp only [Matrix.mul_apply, Finset.smul_sum, Finset.sum_smul, smul_smul]
rw [Finset.sum_comm]
· rw [A_smul, smul_zero]
-- In the rings of integers we have the desired inclusion.
have span_d : (Submodule.span S ({algebraMap R S A.det} : Set S)).restrictScalars R ≤ M := by
intro x hx
rw [Submodule.restrictScalars_mem] at hx
obtain ⟨x', rfl⟩ := Submodule.mem_span_singleton.mp hx
rw [smul_eq_mul, mul_comm, ← Algebra.smul_def] at hx ⊢
rw [← Submodule.Quotient.mk_eq_zero, Submodule.Quotient.mk_smul]
obtain ⟨a', _, quot_x_eq⟩ := exists_sum (Submodule.Quotient.mk x')
rw [← quot_x_eq, Finset.smul_sum]
conv =>
lhs; congr; next => skip
intro x; rw [smul_comm A.det, d_smul, smul_zero]
exact Finset.sum_const_zero
refine top_le_iff.mp
(calc
⊤ = (Ideal.span {algebraMap R L A.det}).restrictScalars K := ?_
_ ≤ Submodule.span K (algebraMap S L '' b) := ?_)
-- Because `det A ≠ 0`, we have `span L {det A} = ⊤`.
· rw [eq_comm, Submodule.restrictScalars_eq_top_iff, Ideal.span_singleton_eq_top]
refine IsUnit.mk0 _ ((map_ne_zero_iff (algebraMap R L) hRL).mpr ?_)
refine ne_zero_of_map (f := Ideal.Quotient.mk p) ?_
haveI := Ideal.Quotient.nontrivial hp
calc
Ideal.Quotient.mk p A.det = Matrix.det ((Ideal.Quotient.mk p).mapMatrix A) := by
rw [RingHom.map_det]
_ = Matrix.det ((Ideal.Quotient.mk p).mapMatrix (Matrix.of A' - 1)) := rfl
_ = Matrix.det fun i j =>
(Ideal.Quotient.mk p) (A' i j) - (1 : Matrix (Fin n) (Fin n) (R ⧸ p)) i j := ?_
_ = Matrix.det (-1 : Matrix (Fin n) (Fin n) (R ⧸ p)) := ?_
_ = (-1 : R ⧸ p) ^ n := by rw [Matrix.det_neg, Fintype.card_fin, Matrix.det_one, mul_one]
_ ≠ 0 := IsUnit.ne_zero (isUnit_one.neg.pow _)
· refine congr_arg Matrix.det (Matrix.ext fun i j => ?_)
rw [map_sub, RingHom.mapMatrix_apply, map_one]
rfl
· refine congr_arg Matrix.det (Matrix.ext fun i j => ?_)
rw [Ideal.Quotient.eq_zero_iff_mem.mpr (hA'p i j), zero_sub]
rfl
-- And we conclude `L = span L {det A} ≤ span K b`, so `span K b` spans everything.
· intro x hx
rw [Submodule.restrictScalars_mem, IsScalarTower.algebraMap_apply R S L] at hx
have : Algebra.IsAlgebraic R L := by
have : NoZeroSMulDivisors R L := NoZeroSMulDivisors.of_algebraMap_injective hRL
rw [← IsFractionRing.isAlgebraic_iff' R S]
infer_instance
refine IsFractionRing.ideal_span_singleton_map_subset R hRL span_d hx
#align ideal.finrank_quotient_map.span_eq_top Ideal.FinrankQuotientMap.span_eq_top
variable (K L)
/-- If `p` is a maximal ideal of `R`, and `S` is the integral closure of `R` in `L`,
then the dimension `[S/pS : R/p]` is equal to `[Frac(S) : Frac(R)]`. -/
theorem finrank_quotient_map [IsDomain S] [IsDedekindDomain R] [Algebra K L]
[Algebra R L] [IsScalarTower R K L] [IsScalarTower R S L] [IsIntegralClosure S R L]
[hp : p.IsMaximal] [IsNoetherian R S] :
finrank (R ⧸ p) (S ⧸ map (algebraMap R S) p) = finrank K L := by
-- Choose an arbitrary basis `b` for `[S/pS : R/p]`.
-- We'll use the previous results to turn it into a basis on `[Frac(S) : Frac(R)]`.
letI : Field (R ⧸ p) := Ideal.Quotient.field _
let ι := Module.Free.ChooseBasisIndex (R ⧸ p) (S ⧸ map (algebraMap R S) p)
let b : Basis ι (R ⧸ p) (S ⧸ map (algebraMap R S) p) := Module.Free.chooseBasis _ _
-- Namely, choose a representative `b' i : S` for each `b i : S / pS`.
let b' : ι → S := fun i => (Ideal.Quotient.mk_surjective (b i)).choose
have b_eq_b' : ⇑b = (Submodule.mkQ (map (algebraMap R S) p)).restrictScalars R ∘ b' :=
funext fun i => (Ideal.Quotient.mk_surjective (b i)).choose_spec.symm
-- We claim `b'` is a basis for `Frac(S)` over `Frac(R)` because it is linear independent
-- and spans the whole of `Frac(S)`.
let b'' : ι → L := algebraMap S L ∘ b'
have b''_li : LinearIndependent K b'' := ?_
· have b''_sp : Submodule.span K (Set.range b'') = ⊤ := ?_
-- Since the two bases have the same index set, the spaces have the same dimension.
· let c : Basis ι K L := Basis.mk b''_li b''_sp.ge
rw [finrank_eq_card_basis b, finrank_eq_card_basis c]
-- It remains to show that the basis is indeed linear independent and spans the whole space.
· rw [Set.range_comp]
refine FinrankQuotientMap.span_eq_top p hp.ne_top _ (top_le_iff.mp ?_)
-- The nicest way to show `S ≤ span b' ⊔ pS` is by reducing both sides modulo pS.
-- However, this would imply distinguishing between `pS` as `S`-ideal,
-- and `pS` as `R`-submodule, since they have different (non-defeq) quotients.
-- Instead we'll lift `x mod pS ∈ span b` to `y ∈ span b'` for some `y - x ∈ pS`.
intro x _
have mem_span_b : ((Submodule.mkQ (map (algebraMap R S) p)) x : S ⧸ map (algebraMap R S) p) ∈
Submodule.span (R ⧸ p) (Set.range b) := b.mem_span _
rw [← @Submodule.restrictScalars_mem R,
Submodule.restrictScalars_span R (R ⧸ p) Ideal.Quotient.mk_surjective, b_eq_b',
Set.range_comp, ← Submodule.map_span] at mem_span_b
obtain ⟨y, y_mem, y_eq⟩ := Submodule.mem_map.mp mem_span_b
suffices y + -(y - x) ∈ _ by simpa
rw [LinearMap.restrictScalars_apply, Submodule.mkQ_apply, Submodule.mkQ_apply,
Submodule.Quotient.eq] at y_eq
exact add_mem (Submodule.mem_sup_left y_mem) (neg_mem <| Submodule.mem_sup_right y_eq)
· have := b.linearIndependent; rw [b_eq_b'] at this
convert FinrankQuotientMap.linearIndependent_of_nontrivial K _
((Algebra.linearMap S L).restrictScalars R) _ ((Submodule.mkQ _).restrictScalars R) this
· rw [Quotient.algebraMap_eq, Ideal.mk_ker]
exact hp.ne_top
· exact IsFractionRing.injective S L
#align ideal.finrank_quotient_map Ideal.finrank_quotient_map
end FinrankQuotientMap
section FactLeComap
local notation "e" => ramificationIdx f p P
/-- `R / p` has a canonical map to `S / (P ^ e)`, where `e` is the ramification index
of `P` over `p`. -/
noncomputable instance Quotient.algebraQuotientPowRamificationIdx : Algebra (R ⧸ p) (S ⧸ P ^ e) :=
Quotient.algebraQuotientOfLEComap (Ideal.map_le_iff_le_comap.mp le_pow_ramificationIdx)
#align ideal.quotient.algebra_quotient_pow_ramification_idx Ideal.Quotient.algebraQuotientPowRamificationIdx
#adaptation_note /-- 2024-04-23
The right hand side here used to be `Ideal.Quotient.mk _ (f x)` which was somewhat slow,
but this is now even slower without `set_option backward.isDefEq.lazyProjDelta false in`
Instead we've replaced it with `Ideal.Quotient.mk (P ^ e) (f x)` (compare #12412) -/
@[simp]
theorem Quotient.algebraMap_quotient_pow_ramificationIdx (x : R) :
algebraMap (R ⧸ p) (S ⧸ P ^ e) (Ideal.Quotient.mk p x) = Ideal.Quotient.mk (P ^ e) (f x) := rfl
#align ideal.quotient.algebra_map_quotient_pow_ramification_idx Ideal.Quotient.algebraMap_quotient_pow_ramificationIdx
variable [hfp : NeZero (ramificationIdx f p P)]
/-- If `P` lies over `p`, then `R / p` has a canonical map to `S / P`.
This can't be an instance since the map `f : R → S` is generally not inferrable.
-/
def Quotient.algebraQuotientOfRamificationIdxNeZero : Algebra (R ⧸ p) (S ⧸ P) :=
Quotient.algebraQuotientOfLEComap (le_comap_of_ramificationIdx_ne_zero hfp.out)
#align ideal.quotient.algebra_quotient_of_ramification_idx_ne_zero Ideal.Quotient.algebraQuotientOfRamificationIdxNeZero
set_option synthInstance.checkSynthOrder false -- Porting note: this is okay by the remark below
-- In this file, the value for `f` can be inferred.
attribute [local instance] Ideal.Quotient.algebraQuotientOfRamificationIdxNeZero
#adaptation_note /-- 2024-04-28
The RHS used to be `Ideal.Quotient.mk _ (f x)`, which was slow,
but this is now even slower without `set_option backward.isDefEq.lazyWhnfCore false in`
(compare https://github.com/leanprover-community/mathlib4/pull/12412) -/
@[simp]
theorem Quotient.algebraMap_quotient_of_ramificationIdx_neZero (x : R) :
algebraMap (R ⧸ p) (S ⧸ P) (Ideal.Quotient.mk p x) = Ideal.Quotient.mk P (f x) := rfl
#align ideal.quotient.algebra_map_quotient_of_ramification_idx_ne_zero Ideal.Quotient.algebraMap_quotient_of_ramificationIdx_neZero
/-- The inclusion `(P^(i + 1) / P^e) ⊂ (P^i / P^e)`. -/
@[simps]
def powQuotSuccInclusion (i : ℕ) :
Ideal.map (Ideal.Quotient.mk (P ^ e)) (P ^ (i + 1)) →ₗ[R ⧸ p]
Ideal.map (Ideal.Quotient.mk (P ^ e)) (P ^ i) where
toFun x := ⟨x, Ideal.map_mono (Ideal.pow_le_pow_right i.le_succ) x.2⟩
map_add' _ _ := rfl
map_smul' _ _ := rfl
#align ideal.pow_quot_succ_inclusion Ideal.powQuotSuccInclusion
| Mathlib/NumberTheory/RamificationInertia.lean | 490 | 495 | theorem powQuotSuccInclusion_injective (i : ℕ) :
Function.Injective (powQuotSuccInclusion f p P i) := by |
rw [← LinearMap.ker_eq_bot, LinearMap.ker_eq_bot']
rintro ⟨x, hx⟩ hx0
rw [Subtype.ext_iff] at hx0 ⊢
rwa [powQuotSuccInclusion_apply_coe] at hx0
|
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.Calculus.ContDiff.RCLike
import Mathlib.MeasureTheory.Measure.Hausdorff
#align_import topology.metric_space.hausdorff_dimension from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92"
/-!
# Hausdorff dimension
The Hausdorff dimension of a set `X` in an (extended) metric space is the unique number
`dimH s : ℝ≥0∞` such that for any `d : ℝ≥0` we have
- `μH[d] s = 0` if `dimH s < d`, and
- `μH[d] s = ∞` if `d < dimH s`.
In this file we define `dimH s` to be the Hausdorff dimension of `s`, then prove some basic
properties of Hausdorff dimension.
## Main definitions
* `MeasureTheory.dimH`: the Hausdorff dimension of a set. For the Hausdorff dimension of the whole
space we use `MeasureTheory.dimH (Set.univ : Set X)`.
## Main results
### Basic properties of Hausdorff dimension
* `hausdorffMeasure_of_lt_dimH`, `dimH_le_of_hausdorffMeasure_ne_top`,
`le_dimH_of_hausdorffMeasure_eq_top`, `hausdorffMeasure_of_dimH_lt`, `measure_zero_of_dimH_lt`,
`le_dimH_of_hausdorffMeasure_ne_zero`, `dimH_of_hausdorffMeasure_ne_zero_ne_top`: various forms
of the characteristic property of the Hausdorff dimension;
* `dimH_union`: the Hausdorff dimension of the union of two sets is the maximum of their Hausdorff
dimensions.
* `dimH_iUnion`, `dimH_bUnion`, `dimH_sUnion`: the Hausdorff dimension of a countable union of sets
is the supremum of their Hausdorff dimensions;
* `dimH_empty`, `dimH_singleton`, `Set.Subsingleton.dimH_zero`, `Set.Countable.dimH_zero` : `dimH s
= 0` whenever `s` is countable;
### (Pre)images under (anti)lipschitz and Hölder continuous maps
* `HolderWith.dimH_image_le` etc: if `f : X → Y` is Hölder continuous with exponent `r > 0`, then
for any `s`, `dimH (f '' s) ≤ dimH s / r`. We prove versions of this statement for `HolderWith`,
`HolderOnWith`, and locally Hölder maps, as well as for `Set.image` and `Set.range`.
* `LipschitzWith.dimH_image_le` etc: Lipschitz continuous maps do not increase the Hausdorff
dimension of sets.
* for a map that is known to be both Lipschitz and antilipschitz (e.g., for an `Isometry` or
a `ContinuousLinearEquiv`) we also prove `dimH (f '' s) = dimH s`.
### Hausdorff measure in `ℝⁿ`
* `Real.dimH_of_nonempty_interior`: if `s` is a set in a finite dimensional real vector space `E`
with nonempty interior, then the Hausdorff dimension of `s` is equal to the dimension of `E`.
* `dense_compl_of_dimH_lt_finrank`: if `s` is a set in a finite dimensional real vector space `E`
with Hausdorff dimension strictly less than the dimension of `E`, the `s` has a dense complement.
* `ContDiff.dense_compl_range_of_finrank_lt_finrank`: the complement to the range of a `C¹`
smooth map is dense provided that the dimension of the domain is strictly less than the dimension
of the codomain.
## Notations
We use the following notation localized in `MeasureTheory`. It is defined in
`MeasureTheory.Measure.Hausdorff`.
- `μH[d]` : `MeasureTheory.Measure.hausdorffMeasure d`
## Implementation notes
* The definition of `dimH` explicitly uses `borel X` as a measurable space structure. This way we
can formulate lemmas about Hausdorff dimension without assuming that the environment has a
`[MeasurableSpace X]` instance that is equal but possibly not defeq to `borel X`.
Lemma `dimH_def` unfolds this definition using whatever `[MeasurableSpace X]` instance we have in
the environment (as long as it is equal to `borel X`).
* The definition `dimH` is irreducible; use API lemmas or `dimH_def` instead.
## Tags
Hausdorff measure, Hausdorff dimension, dimension
-/
open scoped MeasureTheory ENNReal NNReal Topology
open MeasureTheory MeasureTheory.Measure Set TopologicalSpace FiniteDimensional Filter
variable {ι X Y : Type*} [EMetricSpace X] [EMetricSpace Y]
/-- Hausdorff dimension of a set in an (e)metric space. -/
@[irreducible] noncomputable def dimH (s : Set X) : ℝ≥0∞ := by
borelize X; exact ⨆ (d : ℝ≥0) (_ : @hausdorffMeasure X _ _ ⟨rfl⟩ d s = ∞), d
set_option linter.uppercaseLean3 false in
#align dimH dimH
/-!
### Basic properties
-/
section Measurable
variable [MeasurableSpace X] [BorelSpace X]
/-- Unfold the definition of `dimH` using `[MeasurableSpace X] [BorelSpace X]` from the
environment. -/
theorem dimH_def (s : Set X) : dimH s = ⨆ (d : ℝ≥0) (_ : μH[d] s = ∞), (d : ℝ≥0∞) := by
borelize X; rw [dimH]
set_option linter.uppercaseLean3 false in
#align dimH_def dimH_def
theorem hausdorffMeasure_of_lt_dimH {s : Set X} {d : ℝ≥0} (h : ↑d < dimH s) : μH[d] s = ∞ := by
simp only [dimH_def, lt_iSup_iff] at h
rcases h with ⟨d', hsd', hdd'⟩
rw [ENNReal.coe_lt_coe, ← NNReal.coe_lt_coe] at hdd'
exact top_unique (hsd' ▸ hausdorffMeasure_mono hdd'.le _)
set_option linter.uppercaseLean3 false in
#align hausdorff_measure_of_lt_dimH hausdorffMeasure_of_lt_dimH
theorem dimH_le {s : Set X} {d : ℝ≥0∞} (H : ∀ d' : ℝ≥0, μH[d'] s = ∞ → ↑d' ≤ d) : dimH s ≤ d :=
(dimH_def s).trans_le <| iSup₂_le H
set_option linter.uppercaseLean3 false in
#align dimH_le dimH_le
theorem dimH_le_of_hausdorffMeasure_ne_top {s : Set X} {d : ℝ≥0} (h : μH[d] s ≠ ∞) : dimH s ≤ d :=
le_of_not_lt <| mt hausdorffMeasure_of_lt_dimH h
set_option linter.uppercaseLean3 false in
#align dimH_le_of_hausdorff_measure_ne_top dimH_le_of_hausdorffMeasure_ne_top
theorem le_dimH_of_hausdorffMeasure_eq_top {s : Set X} {d : ℝ≥0} (h : μH[d] s = ∞) :
↑d ≤ dimH s := by
rw [dimH_def]; exact le_iSup₂ (α := ℝ≥0∞) d h
set_option linter.uppercaseLean3 false in
#align le_dimH_of_hausdorff_measure_eq_top le_dimH_of_hausdorffMeasure_eq_top
theorem hausdorffMeasure_of_dimH_lt {s : Set X} {d : ℝ≥0} (h : dimH s < d) : μH[d] s = 0 := by
rw [dimH_def] at h
rcases ENNReal.lt_iff_exists_nnreal_btwn.1 h with ⟨d', hsd', hd'd⟩
rw [ENNReal.coe_lt_coe, ← NNReal.coe_lt_coe] at hd'd
exact (hausdorffMeasure_zero_or_top hd'd s).resolve_right fun h₂ => hsd'.not_le <|
le_iSup₂ (α := ℝ≥0∞) d' h₂
set_option linter.uppercaseLean3 false in
#align hausdorff_measure_of_dimH_lt hausdorffMeasure_of_dimH_lt
theorem measure_zero_of_dimH_lt {μ : Measure X} {d : ℝ≥0} (h : μ ≪ μH[d]) {s : Set X}
(hd : dimH s < d) : μ s = 0 :=
h <| hausdorffMeasure_of_dimH_lt hd
set_option linter.uppercaseLean3 false in
#align measure_zero_of_dimH_lt measure_zero_of_dimH_lt
theorem le_dimH_of_hausdorffMeasure_ne_zero {s : Set X} {d : ℝ≥0} (h : μH[d] s ≠ 0) : ↑d ≤ dimH s :=
le_of_not_lt <| mt hausdorffMeasure_of_dimH_lt h
set_option linter.uppercaseLean3 false in
#align le_dimH_of_hausdorff_measure_ne_zero le_dimH_of_hausdorffMeasure_ne_zero
theorem dimH_of_hausdorffMeasure_ne_zero_ne_top {d : ℝ≥0} {s : Set X} (h : μH[d] s ≠ 0)
(h' : μH[d] s ≠ ∞) : dimH s = d :=
le_antisymm (dimH_le_of_hausdorffMeasure_ne_top h') (le_dimH_of_hausdorffMeasure_ne_zero h)
set_option linter.uppercaseLean3 false in
#align dimH_of_hausdorff_measure_ne_zero_ne_top dimH_of_hausdorffMeasure_ne_zero_ne_top
end Measurable
@[mono]
theorem dimH_mono {s t : Set X} (h : s ⊆ t) : dimH s ≤ dimH t := by
borelize X
exact dimH_le fun d hd => le_dimH_of_hausdorffMeasure_eq_top <| top_unique <| hd ▸ measure_mono h
set_option linter.uppercaseLean3 false in
#align dimH_mono dimH_mono
theorem dimH_subsingleton {s : Set X} (h : s.Subsingleton) : dimH s = 0 := by
borelize X
apply le_antisymm _ (zero_le _)
refine dimH_le_of_hausdorffMeasure_ne_top ?_
exact ((hausdorffMeasure_le_one_of_subsingleton h le_rfl).trans_lt ENNReal.one_lt_top).ne
set_option linter.uppercaseLean3 false in
#align dimH_subsingleton dimH_subsingleton
alias Set.Subsingleton.dimH_zero := dimH_subsingleton
set_option linter.uppercaseLean3 false in
#align set.subsingleton.dimH_zero Set.Subsingleton.dimH_zero
@[simp]
theorem dimH_empty : dimH (∅ : Set X) = 0 :=
subsingleton_empty.dimH_zero
set_option linter.uppercaseLean3 false in
#align dimH_empty dimH_empty
@[simp]
theorem dimH_singleton (x : X) : dimH ({x} : Set X) = 0 :=
subsingleton_singleton.dimH_zero
set_option linter.uppercaseLean3 false in
#align dimH_singleton dimH_singleton
@[simp]
theorem dimH_iUnion {ι : Sort*} [Countable ι] (s : ι → Set X) :
dimH (⋃ i, s i) = ⨆ i, dimH (s i) := by
borelize X
refine le_antisymm (dimH_le fun d hd => ?_) (iSup_le fun i => dimH_mono <| subset_iUnion _ _)
contrapose! hd
have : ∀ i, μH[d] (s i) = 0 := fun i =>
hausdorffMeasure_of_dimH_lt ((le_iSup (fun i => dimH (s i)) i).trans_lt hd)
rw [measure_iUnion_null this]
exact ENNReal.zero_ne_top
set_option linter.uppercaseLean3 false in
#align dimH_Union dimH_iUnion
@[simp]
theorem dimH_bUnion {s : Set ι} (hs : s.Countable) (t : ι → Set X) :
dimH (⋃ i ∈ s, t i) = ⨆ i ∈ s, dimH (t i) := by
haveI := hs.toEncodable
rw [biUnion_eq_iUnion, dimH_iUnion, ← iSup_subtype'']
set_option linter.uppercaseLean3 false in
#align dimH_bUnion dimH_bUnion
@[simp]
theorem dimH_sUnion {S : Set (Set X)} (hS : S.Countable) : dimH (⋃₀ S) = ⨆ s ∈ S, dimH s := by
rw [sUnion_eq_biUnion, dimH_bUnion hS]
set_option linter.uppercaseLean3 false in
#align dimH_sUnion dimH_sUnion
@[simp]
theorem dimH_union (s t : Set X) : dimH (s ∪ t) = max (dimH s) (dimH t) := by
rw [union_eq_iUnion, dimH_iUnion, iSup_bool_eq, cond, cond, ENNReal.sup_eq_max]
set_option linter.uppercaseLean3 false in
#align dimH_union dimH_union
theorem dimH_countable {s : Set X} (hs : s.Countable) : dimH s = 0 :=
biUnion_of_singleton s ▸ by simp only [dimH_bUnion hs, dimH_singleton, ENNReal.iSup_zero_eq_zero]
set_option linter.uppercaseLean3 false in
#align dimH_countable dimH_countable
alias Set.Countable.dimH_zero := dimH_countable
set_option linter.uppercaseLean3 false in
#align set.countable.dimH_zero Set.Countable.dimH_zero
theorem dimH_finite {s : Set X} (hs : s.Finite) : dimH s = 0 :=
hs.countable.dimH_zero
set_option linter.uppercaseLean3 false in
#align dimH_finite dimH_finite
alias Set.Finite.dimH_zero := dimH_finite
set_option linter.uppercaseLean3 false in
#align set.finite.dimH_zero Set.Finite.dimH_zero
@[simp]
theorem dimH_coe_finset (s : Finset X) : dimH (s : Set X) = 0 :=
s.finite_toSet.dimH_zero
set_option linter.uppercaseLean3 false in
#align dimH_coe_finset dimH_coe_finset
alias Finset.dimH_zero := dimH_coe_finset
set_option linter.uppercaseLean3 false in
#align finset.dimH_zero Finset.dimH_zero
/-!
### Hausdorff dimension as the supremum of local Hausdorff dimensions
-/
section
variable [SecondCountableTopology X]
/-- If `r` is less than the Hausdorff dimension of a set `s` in an (extended) metric space with
second countable topology, then there exists a point `x ∈ s` such that every neighborhood
`t` of `x` within `s` has Hausdorff dimension greater than `r`. -/
theorem exists_mem_nhdsWithin_lt_dimH_of_lt_dimH {s : Set X} {r : ℝ≥0∞} (h : r < dimH s) :
∃ x ∈ s, ∀ t ∈ 𝓝[s] x, r < dimH t := by
contrapose! h; choose! t htx htr using h
rcases countable_cover_nhdsWithin htx with ⟨S, hSs, hSc, hSU⟩
calc
dimH s ≤ dimH (⋃ x ∈ S, t x) := dimH_mono hSU
_ = ⨆ x ∈ S, dimH (t x) := dimH_bUnion hSc _
_ ≤ r := iSup₂_le fun x hx => htr x <| hSs hx
set_option linter.uppercaseLean3 false in
#align exists_mem_nhds_within_lt_dimH_of_lt_dimH exists_mem_nhdsWithin_lt_dimH_of_lt_dimH
/-- In an (extended) metric space with second countable topology, the Hausdorff dimension
of a set `s` is the supremum over `x ∈ s` of the limit superiors of `dimH t` along
`(𝓝[s] x).smallSets`. -/
theorem bsupr_limsup_dimH (s : Set X) : ⨆ x ∈ s, limsup dimH (𝓝[s] x).smallSets = dimH s := by
refine le_antisymm (iSup₂_le fun x _ => ?_) ?_
· refine limsup_le_of_le isCobounded_le_of_bot ?_
exact eventually_smallSets.2 ⟨s, self_mem_nhdsWithin, fun t => dimH_mono⟩
· refine le_of_forall_ge_of_dense fun r hr => ?_
rcases exists_mem_nhdsWithin_lt_dimH_of_lt_dimH hr with ⟨x, hxs, hxr⟩
refine le_iSup₂_of_le x hxs ?_; rw [limsup_eq]; refine le_sInf fun b hb => ?_
rcases eventually_smallSets.1 hb with ⟨t, htx, ht⟩
exact (hxr t htx).le.trans (ht t Subset.rfl)
set_option linter.uppercaseLean3 false in
#align bsupr_limsup_dimH bsupr_limsup_dimH
/-- In an (extended) metric space with second countable topology, the Hausdorff dimension
of a set `s` is the supremum over all `x` of the limit superiors of `dimH t` along
`(𝓝[s] x).smallSets`. -/
theorem iSup_limsup_dimH (s : Set X) : ⨆ x, limsup dimH (𝓝[s] x).smallSets = dimH s := by
refine le_antisymm (iSup_le fun x => ?_) ?_
· refine limsup_le_of_le isCobounded_le_of_bot ?_
exact eventually_smallSets.2 ⟨s, self_mem_nhdsWithin, fun t => dimH_mono⟩
· rw [← bsupr_limsup_dimH]; exact iSup₂_le_iSup _ _
set_option linter.uppercaseLean3 false in
#align supr_limsup_dimH iSup_limsup_dimH
end
/-!
### Hausdorff dimension and Hölder continuity
-/
variable {C K r : ℝ≥0} {f : X → Y} {s t : Set X}
/-- If `f` is a Hölder continuous map with exponent `r > 0`, then `dimH (f '' s) ≤ dimH s / r`. -/
theorem HolderOnWith.dimH_image_le (h : HolderOnWith C r f s) (hr : 0 < r) :
dimH (f '' s) ≤ dimH s / r := by
borelize X Y
refine dimH_le fun d hd => ?_
have := h.hausdorffMeasure_image_le hr d.coe_nonneg
rw [hd, ENNReal.coe_rpow_of_nonneg _ d.coe_nonneg, top_le_iff] at this
have Hrd : μH[(r * d : ℝ≥0)] s = ⊤ := by
contrapose this
exact ENNReal.mul_ne_top ENNReal.coe_ne_top this
rw [ENNReal.le_div_iff_mul_le, mul_comm, ← ENNReal.coe_mul]
exacts [le_dimH_of_hausdorffMeasure_eq_top Hrd, Or.inl (mt ENNReal.coe_eq_zero.1 hr.ne'),
Or.inl ENNReal.coe_ne_top]
set_option linter.uppercaseLean3 false in
#align holder_on_with.dimH_image_le HolderOnWith.dimH_image_le
namespace HolderWith
/-- If `f : X → Y` is Hölder continuous with a positive exponent `r`, then the Hausdorff dimension
of the image of a set `s` is at most `dimH s / r`. -/
theorem dimH_image_le (h : HolderWith C r f) (hr : 0 < r) (s : Set X) :
dimH (f '' s) ≤ dimH s / r :=
(h.holderOnWith s).dimH_image_le hr
set_option linter.uppercaseLean3 false in
#align holder_with.dimH_image_le HolderWith.dimH_image_le
/-- If `f` is a Hölder continuous map with exponent `r > 0`, then the Hausdorff dimension of its
range is at most the Hausdorff dimension of its domain divided by `r`. -/
theorem dimH_range_le (h : HolderWith C r f) (hr : 0 < r) :
dimH (range f) ≤ dimH (univ : Set X) / r :=
@image_univ _ _ f ▸ h.dimH_image_le hr univ
set_option linter.uppercaseLean3 false in
#align holder_with.dimH_range_le HolderWith.dimH_range_le
end HolderWith
/-- If `s` is a set in a space `X` with second countable topology and `f : X → Y` is Hölder
continuous in a neighborhood within `s` of every point `x ∈ s` with the same positive exponent `r`
but possibly different coefficients, then the Hausdorff dimension of the image `f '' s` is at most
the Hausdorff dimension of `s` divided by `r`. -/
theorem dimH_image_le_of_locally_holder_on [SecondCountableTopology X] {r : ℝ≥0} {f : X → Y}
(hr : 0 < r) {s : Set X} (hf : ∀ x ∈ s, ∃ C : ℝ≥0, ∃ t ∈ 𝓝[s] x, HolderOnWith C r f t) :
dimH (f '' s) ≤ dimH s / r := by
choose! C t htn hC using hf
rcases countable_cover_nhdsWithin htn with ⟨u, hus, huc, huU⟩
replace huU := inter_eq_self_of_subset_left huU; rw [inter_iUnion₂] at huU
rw [← huU, image_iUnion₂, dimH_bUnion huc, dimH_bUnion huc]; simp only [ENNReal.iSup_div]
exact iSup₂_mono fun x hx => ((hC x (hus hx)).mono inter_subset_right).dimH_image_le hr
set_option linter.uppercaseLean3 false in
#align dimH_image_le_of_locally_holder_on dimH_image_le_of_locally_holder_on
/-- If `f : X → Y` is Hölder continuous in a neighborhood of every point `x : X` with the same
positive exponent `r` but possibly different coefficients, then the Hausdorff dimension of the range
of `f` is at most the Hausdorff dimension of `X` divided by `r`. -/
theorem dimH_range_le_of_locally_holder_on [SecondCountableTopology X] {r : ℝ≥0} {f : X → Y}
(hr : 0 < r) (hf : ∀ x : X, ∃ C : ℝ≥0, ∃ s ∈ 𝓝 x, HolderOnWith C r f s) :
dimH (range f) ≤ dimH (univ : Set X) / r := by
rw [← image_univ]
refine dimH_image_le_of_locally_holder_on hr fun x _ => ?_
simpa only [exists_prop, nhdsWithin_univ] using hf x
set_option linter.uppercaseLean3 false in
#align dimH_range_le_of_locally_holder_on dimH_range_le_of_locally_holder_on
/-!
### Hausdorff dimension and Lipschitz continuity
-/
/-- If `f : X → Y` is Lipschitz continuous on `s`, then `dimH (f '' s) ≤ dimH s`. -/
theorem LipschitzOnWith.dimH_image_le (h : LipschitzOnWith K f s) : dimH (f '' s) ≤ dimH s := by
simpa using h.holderOnWith.dimH_image_le zero_lt_one
set_option linter.uppercaseLean3 false in
#align lipschitz_on_with.dimH_image_le LipschitzOnWith.dimH_image_le
namespace LipschitzWith
/-- If `f` is a Lipschitz continuous map, then `dimH (f '' s) ≤ dimH s`. -/
theorem dimH_image_le (h : LipschitzWith K f) (s : Set X) : dimH (f '' s) ≤ dimH s :=
(h.lipschitzOnWith s).dimH_image_le
set_option linter.uppercaseLean3 false in
#align lipschitz_with.dimH_image_le LipschitzWith.dimH_image_le
/-- If `f` is a Lipschitz continuous map, then the Hausdorff dimension of its range is at most the
Hausdorff dimension of its domain. -/
theorem dimH_range_le (h : LipschitzWith K f) : dimH (range f) ≤ dimH (univ : Set X) :=
@image_univ _ _ f ▸ h.dimH_image_le univ
set_option linter.uppercaseLean3 false in
#align lipschitz_with.dimH_range_le LipschitzWith.dimH_range_le
end LipschitzWith
/-- If `s` is a set in an extended metric space `X` with second countable topology and `f : X → Y`
is Lipschitz in a neighborhood within `s` of every point `x ∈ s`, then the Hausdorff dimension of
the image `f '' s` is at most the Hausdorff dimension of `s`. -/
| Mathlib/Topology/MetricSpace/HausdorffDimension.lean | 411 | 415 | theorem dimH_image_le_of_locally_lipschitzOn [SecondCountableTopology X] {f : X → Y} {s : Set X}
(hf : ∀ x ∈ s, ∃ C : ℝ≥0, ∃ t ∈ 𝓝[s] x, LipschitzOnWith C f t) : dimH (f '' s) ≤ dimH s := by |
have : ∀ x ∈ s, ∃ C : ℝ≥0, ∃ t ∈ 𝓝[s] x, HolderOnWith C 1 f t := by
simpa only [holderOnWith_one] using hf
simpa only [ENNReal.coe_one, div_one] using dimH_image_le_of_locally_holder_on zero_lt_one this
|
/-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis
-/
import Mathlib.Algebra.Order.Field.Power
import Mathlib.NumberTheory.Padics.PadicVal
#align_import number_theory.padics.padic_norm from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
/-!
# p-adic norm
This file defines the `p`-adic norm on `ℚ`.
The `p`-adic valuation on `ℚ` is the difference of the multiplicities of `p` in the numerator and
denominator of `q`. This function obeys the standard properties of a valuation, with the appropriate
assumptions on `p`.
The valuation induces a norm on `ℚ`. This norm is a nonarchimedean absolute value.
It takes values in {0} ∪ {1/p^k | k ∈ ℤ}.
## Implementation notes
Much, but not all, of this file assumes that `p` is prime. This assumption is inferred automatically
by taking `[Fact p.Prime]` as a type class argument.
## References
* [F. Q. Gouvêa, *p-adic numbers*][gouvea1997]
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* <https://en.wikipedia.org/wiki/P-adic_number>
## Tags
p-adic, p adic, padic, norm, valuation
-/
/-- If `q ≠ 0`, the `p`-adic norm of a rational `q` is `p ^ (-padicValRat p q)`.
If `q = 0`, the `p`-adic norm of `q` is `0`. -/
def padicNorm (p : ℕ) (q : ℚ) : ℚ :=
if q = 0 then 0 else (p : ℚ) ^ (-padicValRat p q)
#align padic_norm padicNorm
namespace padicNorm
open padicValRat
variable {p : ℕ}
/-- Unfolds the definition of the `p`-adic norm of `q` when `q ≠ 0`. -/
@[simp]
protected theorem eq_zpow_of_nonzero {q : ℚ} (hq : q ≠ 0) :
padicNorm p q = (p : ℚ) ^ (-padicValRat p q) := by simp [hq, padicNorm]
#align padic_norm.eq_zpow_of_nonzero padicNorm.eq_zpow_of_nonzero
/-- The `p`-adic norm is nonnegative. -/
protected theorem nonneg (q : ℚ) : 0 ≤ padicNorm p q :=
if hq : q = 0 then by simp [hq, padicNorm]
else by
unfold padicNorm
split_ifs
apply zpow_nonneg
exact mod_cast Nat.zero_le _
#align padic_norm.nonneg padicNorm.nonneg
/-- The `p`-adic norm of `0` is `0`. -/
@[simp]
protected theorem zero : padicNorm p 0 = 0 := by simp [padicNorm]
#align padic_norm.zero padicNorm.zero
/-- The `p`-adic norm of `1` is `1`. -/
-- @[simp] -- Porting note (#10618): simp can prove this
protected theorem one : padicNorm p 1 = 1 := by simp [padicNorm]
#align padic_norm.one padicNorm.one
/-- The `p`-adic norm of `p` is `p⁻¹` if `p > 1`.
See also `padicNorm.padicNorm_p_of_prime` for a version assuming `p` is prime. -/
| Mathlib/NumberTheory/Padics/PadicNorm.lean | 81 | 82 | theorem padicNorm_p (hp : 1 < p) : padicNorm p p = (p : ℚ)⁻¹ := by |
simp [padicNorm, (pos_of_gt hp).ne', padicValNat.self hp]
|
/-
Copyright (c) 2020 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Yaël Dillies
-/
import Mathlib.Data.Nat.Defs
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Tactic.Monotonicity.Attr
#align_import data.nat.log from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6"
/-!
# Natural number logarithms
This file defines two `ℕ`-valued analogs of the logarithm of `n` with base `b`:
* `log b n`: Lower logarithm, or floor **log**. Greatest `k` such that `b^k ≤ n`.
* `clog b n`: Upper logarithm, or **c**eil **log**. Least `k` such that `n ≤ b^k`.
These are interesting because, for `1 < b`, `Nat.log b` and `Nat.clog b` are respectively right and
left adjoints of `Nat.pow b`. See `pow_le_iff_le_log` and `le_pow_iff_clog_le`.
-/
namespace Nat
/-! ### Floor logarithm -/
/-- `log b n`, is the logarithm of natural number `n` in base `b`. It returns the largest `k : ℕ`
such that `b^k ≤ n`, so if `b^k = n`, it returns exactly `k`. -/
--@[pp_nodot] porting note: unknown attribute
def log (b : ℕ) : ℕ → ℕ
| n => if h : b ≤ n ∧ 1 < b then log b (n / b) + 1 else 0
decreasing_by
-- putting this in the def triggers the `unusedHavesSuffices` linter:
-- https://github.com/leanprover-community/batteries/issues/428
have : n / b < n := div_lt_self ((Nat.zero_lt_one.trans h.2).trans_le h.1) h.2
decreasing_trivial
#align nat.log Nat.log
@[simp]
theorem log_eq_zero_iff {b n : ℕ} : log b n = 0 ↔ n < b ∨ b ≤ 1 := by
rw [log, dite_eq_right_iff]
simp only [Nat.add_eq_zero_iff, Nat.one_ne_zero, and_false, imp_false, not_and_or, not_le, not_lt]
#align nat.log_eq_zero_iff Nat.log_eq_zero_iff
theorem log_of_lt {b n : ℕ} (hb : n < b) : log b n = 0 :=
log_eq_zero_iff.2 (Or.inl hb)
#align nat.log_of_lt Nat.log_of_lt
theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (n) : log b n = 0 :=
log_eq_zero_iff.2 (Or.inr hb)
#align nat.log_of_left_le_one Nat.log_of_left_le_one
@[simp]
theorem log_pos_iff {b n : ℕ} : 0 < log b n ↔ b ≤ n ∧ 1 < b := by
rw [Nat.pos_iff_ne_zero, Ne, log_eq_zero_iff, not_or, not_lt, not_le]
#align nat.log_pos_iff Nat.log_pos_iff
theorem log_pos {b n : ℕ} (hb : 1 < b) (hbn : b ≤ n) : 0 < log b n :=
log_pos_iff.2 ⟨hbn, hb⟩
#align nat.log_pos Nat.log_pos
theorem log_of_one_lt_of_le {b n : ℕ} (h : 1 < b) (hn : b ≤ n) : log b n = log b (n / b) + 1 := by
rw [log]
exact if_pos ⟨hn, h⟩
#align nat.log_of_one_lt_of_le Nat.log_of_one_lt_of_le
@[simp] lemma log_zero_left : ∀ n, log 0 n = 0 := log_of_left_le_one $ Nat.zero_le _
#align nat.log_zero_left Nat.log_zero_left
@[simp]
theorem log_zero_right (b : ℕ) : log b 0 = 0 :=
log_eq_zero_iff.2 (le_total 1 b)
#align nat.log_zero_right Nat.log_zero_right
@[simp]
theorem log_one_left : ∀ n, log 1 n = 0 :=
log_of_left_le_one le_rfl
#align nat.log_one_left Nat.log_one_left
@[simp]
theorem log_one_right (b : ℕ) : log b 1 = 0 :=
log_eq_zero_iff.2 (lt_or_le _ _)
#align nat.log_one_right Nat.log_one_right
/-- `pow b` and `log b` (almost) form a Galois connection. See also `Nat.pow_le_of_le_log` and
`Nat.le_log_of_pow_le` for individual implications under weaker assumptions. -/
| Mathlib/Data/Nat/Log.lean | 89 | 101 | theorem pow_le_iff_le_log {b : ℕ} (hb : 1 < b) {x y : ℕ} (hy : y ≠ 0) :
b ^ x ≤ y ↔ x ≤ log b y := by |
induction' y using Nat.strong_induction_on with y ih generalizing x
cases x with
| zero => dsimp; omega
| succ x =>
rw [log]; split_ifs with h
· have b_pos : 0 < b := lt_of_succ_lt hb
rw [Nat.add_le_add_iff_right, ← ih (y / b) (div_lt_self
(Nat.pos_iff_ne_zero.2 hy) hb) (Nat.div_pos h.1 b_pos).ne', le_div_iff_mul_le b_pos,
pow_succ', Nat.mul_comm]
· exact iff_of_false (fun hby => h ⟨(le_self_pow x.succ_ne_zero _).trans hby, hb⟩)
(not_succ_le_zero _)
|
/-
Copyright (c) 2020 Kevin Kappelmann. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Kappelmann
-/
import Mathlib.Algebra.ContinuedFractions.Computation.Approximations
import Mathlib.Algebra.ContinuedFractions.Computation.CorrectnessTerminating
import Mathlib.Data.Rat.Floor
#align_import algebra.continued_fractions.computation.terminates_iff_rat from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
/-!
# Termination of Continued Fraction Computations (`GeneralizedContinuedFraction.of`)
## Summary
We show that the continued fraction for a value `v`, as defined in
`Mathlib.Algebra.ContinuedFractions.Basic`, terminates if and only if `v` corresponds to a
rational number, that is `↑v = q` for some `q : ℚ`.
## Main Theorems
- `GeneralizedContinuedFraction.coe_of_rat_eq` shows that
`GeneralizedContinuedFraction.of v = GeneralizedContinuedFraction.of q` for `v : α` given that
`↑v = q` and `q : ℚ`.
- `GeneralizedContinuedFraction.terminates_iff_rat` shows that
`GeneralizedContinuedFraction.of v` terminates if and only if `↑v = q` for some `q : ℚ`.
## Tags
rational, continued fraction, termination
-/
namespace GeneralizedContinuedFraction
open GeneralizedContinuedFraction (of)
variable {K : Type*} [LinearOrderedField K] [FloorRing K]
/-
We will have to constantly coerce along our structures in the following proofs using their provided
map functions.
-/
attribute [local simp] Pair.map IntFractPair.mapFr
section RatOfTerminates
/-!
### Terminating Continued Fractions Are Rational
We want to show that the computation of a continued fraction `GeneralizedContinuedFraction.of v`
terminates if and only if `v ∈ ℚ`. In this section, we show the implication from left to right.
We first show that every finite convergent corresponds to a rational number `q` and then use the
finite correctness proof (`of_correctness_of_terminates`) of `GeneralizedContinuedFraction.of` to
show that `v = ↑q`.
-/
variable (v : K) (n : ℕ)
nonrec theorem exists_gcf_pair_rat_eq_of_nth_conts_aux :
∃ conts : Pair ℚ, (of v).continuantsAux n = (conts.map (↑) : Pair K) :=
Nat.strong_induction_on n
(by
clear n
let g := of v
intro n IH
rcases n with (_ | _ | n)
-- n = 0
· suffices ∃ gp : Pair ℚ, Pair.mk (1 : K) 0 = gp.map (↑) by simpa [continuantsAux]
use Pair.mk 1 0
simp
-- n = 1
· suffices ∃ conts : Pair ℚ, Pair.mk g.h 1 = conts.map (↑) by simpa [continuantsAux]
use Pair.mk ⌊v⌋ 1
simp [g]
-- 2 ≤ n
· cases' IH (n + 1) <| lt_add_one (n + 1) with pred_conts pred_conts_eq
-- invoke the IH
cases' s_ppred_nth_eq : g.s.get? n with gp_n
-- option.none
· use pred_conts
have : g.continuantsAux (n + 2) = g.continuantsAux (n + 1) :=
continuantsAux_stable_of_terminated (n + 1).le_succ s_ppred_nth_eq
simp only [this, pred_conts_eq]
-- option.some
· -- invoke the IH a second time
cases' IH n <| lt_of_le_of_lt n.le_succ <| lt_add_one <| n + 1 with ppred_conts
ppred_conts_eq
obtain ⟨a_eq_one, z, b_eq_z⟩ : gp_n.a = 1 ∧ ∃ z : ℤ, gp_n.b = (z : K) :=
of_part_num_eq_one_and_exists_int_part_denom_eq s_ppred_nth_eq
-- finally, unfold the recurrence to obtain the required rational value.
simp only [a_eq_one, b_eq_z,
continuantsAux_recurrence s_ppred_nth_eq ppred_conts_eq pred_conts_eq]
use nextContinuants 1 (z : ℚ) ppred_conts pred_conts
cases ppred_conts; cases pred_conts
simp [nextContinuants, nextNumerator, nextDenominator])
#align generalized_continued_fraction.exists_gcf_pair_rat_eq_of_nth_conts_aux GeneralizedContinuedFraction.exists_gcf_pair_rat_eq_of_nth_conts_aux
theorem exists_gcf_pair_rat_eq_nth_conts :
∃ conts : Pair ℚ, (of v).continuants n = (conts.map (↑) : Pair K) := by
rw [nth_cont_eq_succ_nth_cont_aux]; exact exists_gcf_pair_rat_eq_of_nth_conts_aux v <| n + 1
#align generalized_continued_fraction.exists_gcf_pair_rat_eq_nth_conts GeneralizedContinuedFraction.exists_gcf_pair_rat_eq_nth_conts
theorem exists_rat_eq_nth_numerator : ∃ q : ℚ, (of v).numerators n = (q : K) := by
rcases exists_gcf_pair_rat_eq_nth_conts v n with ⟨⟨a, _⟩, nth_cont_eq⟩
use a
simp [num_eq_conts_a, nth_cont_eq]
#align generalized_continued_fraction.exists_rat_eq_nth_numerator GeneralizedContinuedFraction.exists_rat_eq_nth_numerator
theorem exists_rat_eq_nth_denominator : ∃ q : ℚ, (of v).denominators n = (q : K) := by
rcases exists_gcf_pair_rat_eq_nth_conts v n with ⟨⟨_, b⟩, nth_cont_eq⟩
use b
simp [denom_eq_conts_b, nth_cont_eq]
#align generalized_continued_fraction.exists_rat_eq_nth_denominator GeneralizedContinuedFraction.exists_rat_eq_nth_denominator
/-- Every finite convergent corresponds to a rational number. -/
theorem exists_rat_eq_nth_convergent : ∃ q : ℚ, (of v).convergents n = (q : K) := by
rcases exists_rat_eq_nth_numerator v n with ⟨Aₙ, nth_num_eq⟩
rcases exists_rat_eq_nth_denominator v n with ⟨Bₙ, nth_denom_eq⟩
use Aₙ / Bₙ
simp [nth_num_eq, nth_denom_eq, convergent_eq_num_div_denom]
#align generalized_continued_fraction.exists_rat_eq_nth_convergent GeneralizedContinuedFraction.exists_rat_eq_nth_convergent
variable {v}
/-- Every terminating continued fraction corresponds to a rational number. -/
theorem exists_rat_eq_of_terminates (terminates : (of v).Terminates) : ∃ q : ℚ, v = ↑q := by
obtain ⟨n, v_eq_conv⟩ : ∃ n, v = (of v).convergents n :=
of_correctness_of_terminates terminates
obtain ⟨q, conv_eq_q⟩ : ∃ q : ℚ, (of v).convergents n = (↑q : K) :=
exists_rat_eq_nth_convergent v n
have : v = (↑q : K) := Eq.trans v_eq_conv conv_eq_q
use q, this
#align generalized_continued_fraction.exists_rat_eq_of_terminates GeneralizedContinuedFraction.exists_rat_eq_of_terminates
end RatOfTerminates
section RatTranslation
/-!
### Technical Translation Lemmas
Before we can show that the continued fraction of a rational number terminates, we have to prove
some technical translation lemmas. More precisely, in this section, we show that, given a rational
number `q : ℚ` and value `v : K` with `v = ↑q`, the continued fraction of `q` and `v` coincide.
In particular, we show that
```lean
(↑(GeneralizedContinuedFraction.of q : GeneralizedContinuedFraction ℚ) :
GeneralizedContinuedFraction K)
= GeneralizedContinuedFraction.of v`
```
in `GeneralizedContinuedFraction.coe_of_rat_eq`.
To do this, we proceed bottom-up, showing the correspondence between the basic functions involved in
the Computation first and then lift the results step-by-step.
-/
-- The lifting works for arbitrary linear ordered fields with a floor function.
variable {v : K} {q : ℚ} (v_eq_q : v = (↑q : K)) (n : ℕ)
/-! First, we show the correspondence for the very basic functions in
`GeneralizedContinuedFraction.IntFractPair`. -/
namespace IntFractPair
theorem coe_of_rat_eq : ((IntFractPair.of q).mapFr (↑) : IntFractPair K) = IntFractPair.of v := by
simp [IntFractPair.of, v_eq_q]
#align generalized_continued_fraction.int_fract_pair.coe_of_rat_eq GeneralizedContinuedFraction.IntFractPair.coe_of_rat_eq
theorem coe_stream_nth_rat_eq :
((IntFractPair.stream q n).map (mapFr (↑)) : Option <| IntFractPair K) =
IntFractPair.stream v n := by
induction n with
| zero =>
-- Porting note: was
-- simp [IntFractPair.stream, coe_of_rat_eq v_eq_q]
simp only [IntFractPair.stream, Option.map_some', coe_of_rat_eq v_eq_q]
| succ n IH =>
rw [v_eq_q] at IH
cases stream_q_nth_eq : IntFractPair.stream q n with
| none => simp [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq]
| some ifp_n =>
cases' ifp_n with b fr
cases' Decidable.em (fr = 0) with fr_zero fr_ne_zero
· simp [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq, fr_zero]
· replace IH : some (IntFractPair.mk b (fr : K)) = IntFractPair.stream (↑q) n := by
rwa [stream_q_nth_eq] at IH
have : (fr : K)⁻¹ = ((fr⁻¹ : ℚ) : K) := by norm_cast
have coe_of_fr := coe_of_rat_eq this
simpa [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq, fr_ne_zero]
#align generalized_continued_fraction.int_fract_pair.coe_stream_nth_rat_eq GeneralizedContinuedFraction.IntFractPair.coe_stream_nth_rat_eq
theorem coe_stream'_rat_eq :
((IntFractPair.stream q).map (Option.map (mapFr (↑))) : Stream' <| Option <| IntFractPair K) =
IntFractPair.stream v := by
funext n; exact IntFractPair.coe_stream_nth_rat_eq v_eq_q n
#align generalized_continued_fraction.int_fract_pair.coe_stream_rat_eq GeneralizedContinuedFraction.IntFractPair.coe_stream'_rat_eq
end IntFractPair
/-! Now we lift the coercion results to the continued fraction computation. -/
theorem coe_of_h_rat_eq : (↑((of q).h : ℚ) : K) = (of v).h := by
unfold of IntFractPair.seq1
rw [← IntFractPair.coe_of_rat_eq v_eq_q]
simp
#align generalized_continued_fraction.coe_of_h_rat_eq GeneralizedContinuedFraction.coe_of_h_rat_eq
theorem coe_of_s_get?_rat_eq :
(((of q).s.get? n).map (Pair.map (↑)) : Option <| Pair K) = (of v).s.get? n := by
simp only [of, IntFractPair.seq1, Stream'.Seq.map_get?, Stream'.Seq.get?_tail]
simp only [Stream'.Seq.get?]
rw [← IntFractPair.coe_stream'_rat_eq v_eq_q]
rcases succ_nth_stream_eq : IntFractPair.stream q (n + 1) with (_ | ⟨_, _⟩) <;>
simp [Stream'.map, Stream'.get, succ_nth_stream_eq]
#align generalized_continued_fraction.coe_of_s_nth_rat_eq GeneralizedContinuedFraction.coe_of_s_get?_rat_eq
theorem coe_of_s_rat_eq : ((of q).s.map (Pair.map ((↑))) : Stream'.Seq <| Pair K) = (of v).s := by
ext n; rw [← coe_of_s_get?_rat_eq v_eq_q]; rfl
#align generalized_continued_fraction.coe_of_s_rat_eq GeneralizedContinuedFraction.coe_of_s_rat_eq
/-- Given `(v : K), (q : ℚ), and v = q`, we have that `of q = of v` -/
theorem coe_of_rat_eq :
(⟨(of q).h, (of q).s.map (Pair.map (↑))⟩ : GeneralizedContinuedFraction K) = of v := by
cases' gcf_v_eq : of v with h s; subst v
-- Porting note: made coercion target explicit
obtain rfl : ↑⌊(q : K)⌋ = h := by injection gcf_v_eq
-- Porting note: was
-- simp [coe_of_h_rat_eq rfl, coe_of_s_rat_eq rfl, gcf_v_eq]
simp only [gcf_v_eq, Int.cast_inj, Rat.floor_cast, of_h_eq_floor, eq_self_iff_true,
Rat.cast_intCast, and_self, coe_of_h_rat_eq rfl, coe_of_s_rat_eq rfl]
#align generalized_continued_fraction.coe_of_rat_eq GeneralizedContinuedFraction.coe_of_rat_eq
theorem of_terminates_iff_of_rat_terminates {v : K} {q : ℚ} (v_eq_q : v = (q : K)) :
(of v).Terminates ↔ (of q).Terminates := by
constructor <;> intro h <;> cases' h with n h <;> use n <;>
simp only [Stream'.Seq.TerminatedAt, (coe_of_s_get?_rat_eq v_eq_q n).symm] at h ⊢ <;>
cases h' : (of q).s.get? n <;>
simp only [h'] at h <;> -- Porting note: added
trivial
#align generalized_continued_fraction.of_terminates_iff_of_rat_terminates GeneralizedContinuedFraction.of_terminates_iff_of_rat_terminates
end RatTranslation
section TerminatesOfRat
/-!
### Continued Fractions of Rationals Terminate
Finally, we show that the continued fraction of a rational number terminates.
The crucial insight is that, given any `q : ℚ` with `0 < q < 1`, the numerator of `Int.fract q` is
smaller than the numerator of `q`. As the continued fraction computation recursively operates on
the fractional part of a value `v` and `0 ≤ Int.fract v < 1`, we infer that the numerator of the
fractional part in the computation decreases by at least one in each step. As `0 ≤ Int.fract v`,
this process must stop after finite number of steps, and the computation hence terminates.
-/
namespace IntFractPair
variable {q : ℚ} {n : ℕ}
/-- Shows that for any `q : ℚ` with `0 < q < 1`, the numerator of the fractional part of
`IntFractPair.of q⁻¹` is smaller than the numerator of `q`.
-/
theorem of_inv_fr_num_lt_num_of_pos (q_pos : 0 < q) : (IntFractPair.of q⁻¹).fr.num < q.num :=
Rat.fract_inv_num_lt_num_of_pos q_pos
#align generalized_continued_fraction.int_fract_pair.of_inv_fr_num_lt_num_of_pos GeneralizedContinuedFraction.IntFractPair.of_inv_fr_num_lt_num_of_pos
/-- Shows that the sequence of numerators of the fractional parts of the stream is strictly
antitone. -/
| Mathlib/Algebra/ContinuedFractions/Computation/TerminatesIffRat.lean | 278 | 292 | theorem stream_succ_nth_fr_num_lt_nth_fr_num_rat {ifp_n ifp_succ_n : IntFractPair ℚ}
(stream_nth_eq : IntFractPair.stream q n = some ifp_n)
(stream_succ_nth_eq : IntFractPair.stream q (n + 1) = some ifp_succ_n) :
ifp_succ_n.fr.num < ifp_n.fr.num := by |
obtain ⟨ifp_n', stream_nth_eq', ifp_n_fract_ne_zero, IntFractPair.of_eq_ifp_succ_n⟩ :
∃ ifp_n',
IntFractPair.stream q n = some ifp_n' ∧
ifp_n'.fr ≠ 0 ∧ IntFractPair.of ifp_n'.fr⁻¹ = ifp_succ_n :=
succ_nth_stream_eq_some_iff.mp stream_succ_nth_eq
have : ifp_n = ifp_n' := by injection Eq.trans stream_nth_eq.symm stream_nth_eq'
cases this
rw [← IntFractPair.of_eq_ifp_succ_n]
cases' nth_stream_fr_nonneg_lt_one stream_nth_eq with zero_le_ifp_n_fract ifp_n_fract_lt_one
have : 0 < ifp_n.fr := lt_of_le_of_ne zero_le_ifp_n_fract <| ifp_n_fract_ne_zero.symm
exact of_inv_fr_num_lt_num_of_pos this
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Logic.Equiv.PartialEquiv
import Mathlib.Topology.Sets.Opens
#align_import topology.local_homeomorph from "leanprover-community/mathlib"@"431589bce478b2229eba14b14a283250428217db"
/-!
# Partial homeomorphisms
This file defines homeomorphisms between open subsets of topological spaces. An element `e` of
`PartialHomeomorph X Y` is an extension of `PartialEquiv X Y`, i.e., it is a pair of functions
`e.toFun` and `e.invFun`, inverse of each other on the sets `e.source` and `e.target`.
Additionally, we require that these sets are open, and that the functions are continuous on them.
Equivalently, they are homeomorphisms there.
As in equivs, we register a coercion to functions, and we use `e x` and `e.symm x` throughout
instead of `e.toFun x` and `e.invFun x`.
## Main definitions
* `Homeomorph.toPartialHomeomorph`: associating a partial homeomorphism to a homeomorphism, with
`source = target = Set.univ`;
* `PartialHomeomorph.symm`: the inverse of a partial homeomorphism
* `PartialHomeomorph.trans`: the composition of two partial homeomorphisms
* `PartialHomeomorph.refl`: the identity partial homeomorphism
* `PartialHomeomorph.ofSet`: the identity on a set `s`
* `PartialHomeomorph.EqOnSource`: equivalence relation describing the "right" notion of equality
for partial homeomorphisms
## Implementation notes
Most statements are copied from their `PartialEquiv` versions, although some care is required
especially when restricting to subsets, as these should be open subsets.
For design notes, see `PartialEquiv.lean`.
### Local coding conventions
If a lemma deals with the intersection of a set with either source or target of a `PartialEquiv`,
then it should use `e.source ∩ s` or `e.target ∩ t`, not `s ∩ e.source` or `t ∩ e.target`.
-/
open Function Set Filter Topology
variable {X X' : Type*} {Y Y' : Type*} {Z Z' : Type*}
[TopologicalSpace X] [TopologicalSpace X'] [TopologicalSpace Y] [TopologicalSpace Y']
[TopologicalSpace Z] [TopologicalSpace Z']
/-- Partial homeomorphisms, defined on open subsets of the space -/
-- Porting note(#5171): this linter isn't ported yet. @[nolint has_nonempty_instance]
structure PartialHomeomorph (X : Type*) (Y : Type*) [TopologicalSpace X]
[TopologicalSpace Y] extends PartialEquiv X Y where
open_source : IsOpen source
open_target : IsOpen target
continuousOn_toFun : ContinuousOn toFun source
continuousOn_invFun : ContinuousOn invFun target
#align local_homeomorph PartialHomeomorph
namespace PartialHomeomorph
variable (e : PartialHomeomorph X Y)
/-! Basic properties; inverse (symm instance) -/
section Basic
/-- Coercion of a partial homeomorphisms to a function. We don't use `e.toFun` because it is
actually `e.toPartialEquiv.toFun`, so `simp` will apply lemmas about `toPartialEquiv`.
While we may want to switch to this behavior later, doing it mid-port will break a lot of proofs. -/
@[coe] def toFun' : X → Y := e.toFun
/-- Coercion of a `PartialHomeomorph` to function.
Note that a `PartialHomeomorph` is not `DFunLike`. -/
instance : CoeFun (PartialHomeomorph X Y) fun _ => X → Y :=
⟨fun e => e.toFun'⟩
/-- The inverse of a partial homeomorphism -/
@[symm]
protected def symm : PartialHomeomorph Y X where
toPartialEquiv := e.toPartialEquiv.symm
open_source := e.open_target
open_target := e.open_source
continuousOn_toFun := e.continuousOn_invFun
continuousOn_invFun := e.continuousOn_toFun
#align local_homeomorph.symm PartialHomeomorph.symm
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def Simps.apply (e : PartialHomeomorph X Y) : X → Y := e
#align local_homeomorph.simps.apply PartialHomeomorph.Simps.apply
/-- See Note [custom simps projection] -/
def Simps.symm_apply (e : PartialHomeomorph X Y) : Y → X := e.symm
#align local_homeomorph.simps.symm_apply PartialHomeomorph.Simps.symm_apply
initialize_simps_projections PartialHomeomorph (toFun → apply, invFun → symm_apply)
protected theorem continuousOn : ContinuousOn e e.source :=
e.continuousOn_toFun
#align local_homeomorph.continuous_on PartialHomeomorph.continuousOn
theorem continuousOn_symm : ContinuousOn e.symm e.target :=
e.continuousOn_invFun
#align local_homeomorph.continuous_on_symm PartialHomeomorph.continuousOn_symm
@[simp, mfld_simps]
theorem mk_coe (e : PartialEquiv X Y) (a b c d) : (PartialHomeomorph.mk e a b c d : X → Y) = e :=
rfl
#align local_homeomorph.mk_coe PartialHomeomorph.mk_coe
@[simp, mfld_simps]
theorem mk_coe_symm (e : PartialEquiv X Y) (a b c d) :
((PartialHomeomorph.mk e a b c d).symm : Y → X) = e.symm :=
rfl
#align local_homeomorph.mk_coe_symm PartialHomeomorph.mk_coe_symm
theorem toPartialEquiv_injective :
Injective (toPartialEquiv : PartialHomeomorph X Y → PartialEquiv X Y)
| ⟨_, _, _, _, _⟩, ⟨_, _, _, _, _⟩, rfl => rfl
#align local_homeomorph.to_local_equiv_injective PartialHomeomorph.toPartialEquiv_injective
/- Register a few simp lemmas to make sure that `simp` puts the application of a local
homeomorphism in its normal form, i.e., in terms of its coercion to a function. -/
@[simp, mfld_simps]
theorem toFun_eq_coe (e : PartialHomeomorph X Y) : e.toFun = e :=
rfl
#align local_homeomorph.to_fun_eq_coe PartialHomeomorph.toFun_eq_coe
@[simp, mfld_simps]
theorem invFun_eq_coe (e : PartialHomeomorph X Y) : e.invFun = e.symm :=
rfl
#align local_homeomorph.inv_fun_eq_coe PartialHomeomorph.invFun_eq_coe
@[simp, mfld_simps]
theorem coe_coe : (e.toPartialEquiv : X → Y) = e :=
rfl
#align local_homeomorph.coe_coe PartialHomeomorph.coe_coe
@[simp, mfld_simps]
theorem coe_coe_symm : (e.toPartialEquiv.symm : Y → X) = e.symm :=
rfl
#align local_homeomorph.coe_coe_symm PartialHomeomorph.coe_coe_symm
@[simp, mfld_simps]
theorem map_source {x : X} (h : x ∈ e.source) : e x ∈ e.target :=
e.map_source' h
#align local_homeomorph.map_source PartialHomeomorph.map_source
/-- Variant of `map_source`, stated for images of subsets of `source`. -/
lemma map_source'' : e '' e.source ⊆ e.target :=
fun _ ⟨_, hx, hex⟩ ↦ mem_of_eq_of_mem (id hex.symm) (e.map_source' hx)
@[simp, mfld_simps]
theorem map_target {x : Y} (h : x ∈ e.target) : e.symm x ∈ e.source :=
e.map_target' h
#align local_homeomorph.map_target PartialHomeomorph.map_target
@[simp, mfld_simps]
theorem left_inv {x : X} (h : x ∈ e.source) : e.symm (e x) = x :=
e.left_inv' h
#align local_homeomorph.left_inv PartialHomeomorph.left_inv
@[simp, mfld_simps]
theorem right_inv {x : Y} (h : x ∈ e.target) : e (e.symm x) = x :=
e.right_inv' h
#align local_homeomorph.right_inv PartialHomeomorph.right_inv
theorem eq_symm_apply {x : X} {y : Y} (hx : x ∈ e.source) (hy : y ∈ e.target) :
x = e.symm y ↔ e x = y :=
e.toPartialEquiv.eq_symm_apply hx hy
#align local_homeomorph.eq_symm_apply PartialHomeomorph.eq_symm_apply
protected theorem mapsTo : MapsTo e e.source e.target := fun _ => e.map_source
#align local_homeomorph.maps_to PartialHomeomorph.mapsTo
protected theorem symm_mapsTo : MapsTo e.symm e.target e.source :=
e.symm.mapsTo
#align local_homeomorph.symm_maps_to PartialHomeomorph.symm_mapsTo
protected theorem leftInvOn : LeftInvOn e.symm e e.source := fun _ => e.left_inv
#align local_homeomorph.left_inv_on PartialHomeomorph.leftInvOn
protected theorem rightInvOn : RightInvOn e.symm e e.target := fun _ => e.right_inv
#align local_homeomorph.right_inv_on PartialHomeomorph.rightInvOn
protected theorem invOn : InvOn e.symm e e.source e.target :=
⟨e.leftInvOn, e.rightInvOn⟩
#align local_homeomorph.inv_on PartialHomeomorph.invOn
protected theorem injOn : InjOn e e.source :=
e.leftInvOn.injOn
#align local_homeomorph.inj_on PartialHomeomorph.injOn
protected theorem bijOn : BijOn e e.source e.target :=
e.invOn.bijOn e.mapsTo e.symm_mapsTo
#align local_homeomorph.bij_on PartialHomeomorph.bijOn
protected theorem surjOn : SurjOn e e.source e.target :=
e.bijOn.surjOn
#align local_homeomorph.surj_on PartialHomeomorph.surjOn
end Basic
/-- Interpret a `Homeomorph` as a `PartialHomeomorph` by restricting it
to an open set `s` in the domain and to `t` in the codomain. -/
@[simps! (config := .asFn) apply symm_apply toPartialEquiv,
simps! (config := .lemmasOnly) source target]
def _root_.Homeomorph.toPartialHomeomorphOfImageEq (e : X ≃ₜ Y) (s : Set X) (hs : IsOpen s)
(t : Set Y) (h : e '' s = t) : PartialHomeomorph X Y where
toPartialEquiv := e.toPartialEquivOfImageEq s t h
open_source := hs
open_target := by simpa [← h]
continuousOn_toFun := e.continuous.continuousOn
continuousOn_invFun := e.symm.continuous.continuousOn
/-- A homeomorphism induces a partial homeomorphism on the whole space -/
@[simps! (config := mfld_cfg)]
def _root_.Homeomorph.toPartialHomeomorph (e : X ≃ₜ Y) : PartialHomeomorph X Y :=
e.toPartialHomeomorphOfImageEq univ isOpen_univ univ <| by rw [image_univ, e.surjective.range_eq]
#align homeomorph.to_local_homeomorph Homeomorph.toPartialHomeomorph
/-- Replace `toPartialEquiv` field to provide better definitional equalities. -/
def replaceEquiv (e : PartialHomeomorph X Y) (e' : PartialEquiv X Y) (h : e.toPartialEquiv = e') :
PartialHomeomorph X Y where
toPartialEquiv := e'
open_source := h ▸ e.open_source
open_target := h ▸ e.open_target
continuousOn_toFun := h ▸ e.continuousOn_toFun
continuousOn_invFun := h ▸ e.continuousOn_invFun
#align local_homeomorph.replace_equiv PartialHomeomorph.replaceEquiv
theorem replaceEquiv_eq_self (e' : PartialEquiv X Y)
(h : e.toPartialEquiv = e') : e.replaceEquiv e' h = e := by
cases e
subst e'
rfl
#align local_homeomorph.replace_equiv_eq_self PartialHomeomorph.replaceEquiv_eq_self
theorem source_preimage_target : e.source ⊆ e ⁻¹' e.target :=
e.mapsTo
#align local_homeomorph.source_preimage_target PartialHomeomorph.source_preimage_target
@[deprecated toPartialEquiv_injective (since := "2023-02-18")]
theorem eq_of_partialEquiv_eq {e e' : PartialHomeomorph X Y}
(h : e.toPartialEquiv = e'.toPartialEquiv) : e = e' :=
toPartialEquiv_injective h
#align local_homeomorph.eq_of_local_equiv_eq PartialHomeomorph.eq_of_partialEquiv_eq
theorem eventually_left_inverse {x} (hx : x ∈ e.source) :
∀ᶠ y in 𝓝 x, e.symm (e y) = y :=
(e.open_source.eventually_mem hx).mono e.left_inv'
#align local_homeomorph.eventually_left_inverse PartialHomeomorph.eventually_left_inverse
theorem eventually_left_inverse' {x} (hx : x ∈ e.target) :
∀ᶠ y in 𝓝 (e.symm x), e.symm (e y) = y :=
e.eventually_left_inverse (e.map_target hx)
#align local_homeomorph.eventually_left_inverse' PartialHomeomorph.eventually_left_inverse'
theorem eventually_right_inverse {x} (hx : x ∈ e.target) :
∀ᶠ y in 𝓝 x, e (e.symm y) = y :=
(e.open_target.eventually_mem hx).mono e.right_inv'
#align local_homeomorph.eventually_right_inverse PartialHomeomorph.eventually_right_inverse
theorem eventually_right_inverse' {x} (hx : x ∈ e.source) :
∀ᶠ y in 𝓝 (e x), e (e.symm y) = y :=
e.eventually_right_inverse (e.map_source hx)
#align local_homeomorph.eventually_right_inverse' PartialHomeomorph.eventually_right_inverse'
theorem eventually_ne_nhdsWithin {x} (hx : x ∈ e.source) :
∀ᶠ x' in 𝓝[≠] x, e x' ≠ e x :=
eventually_nhdsWithin_iff.2 <|
(e.eventually_left_inverse hx).mono fun x' hx' =>
mt fun h => by rw [mem_singleton_iff, ← e.left_inv hx, ← h, hx']
#align local_homeomorph.eventually_ne_nhds_within PartialHomeomorph.eventually_ne_nhdsWithin
theorem nhdsWithin_source_inter {x} (hx : x ∈ e.source) (s : Set X) : 𝓝[e.source ∩ s] x = 𝓝[s] x :=
nhdsWithin_inter_of_mem (mem_nhdsWithin_of_mem_nhds <| IsOpen.mem_nhds e.open_source hx)
#align local_homeomorph.nhds_within_source_inter PartialHomeomorph.nhdsWithin_source_inter
theorem nhdsWithin_target_inter {x} (hx : x ∈ e.target) (s : Set Y) : 𝓝[e.target ∩ s] x = 𝓝[s] x :=
e.symm.nhdsWithin_source_inter hx s
#align local_homeomorph.nhds_within_target_inter PartialHomeomorph.nhdsWithin_target_inter
theorem image_eq_target_inter_inv_preimage {s : Set X} (h : s ⊆ e.source) :
e '' s = e.target ∩ e.symm ⁻¹' s :=
e.toPartialEquiv.image_eq_target_inter_inv_preimage h
#align local_homeomorph.image_eq_target_inter_inv_preimage PartialHomeomorph.image_eq_target_inter_inv_preimage
theorem image_source_inter_eq' (s : Set X) : e '' (e.source ∩ s) = e.target ∩ e.symm ⁻¹' s :=
e.toPartialEquiv.image_source_inter_eq' s
#align local_homeomorph.image_source_inter_eq' PartialHomeomorph.image_source_inter_eq'
theorem image_source_inter_eq (s : Set X) :
e '' (e.source ∩ s) = e.target ∩ e.symm ⁻¹' (e.source ∩ s) :=
e.toPartialEquiv.image_source_inter_eq s
#align local_homeomorph.image_source_inter_eq PartialHomeomorph.image_source_inter_eq
theorem symm_image_eq_source_inter_preimage {s : Set Y} (h : s ⊆ e.target) :
e.symm '' s = e.source ∩ e ⁻¹' s :=
e.symm.image_eq_target_inter_inv_preimage h
#align local_homeomorph.symm_image_eq_source_inter_preimage PartialHomeomorph.symm_image_eq_source_inter_preimage
theorem symm_image_target_inter_eq (s : Set Y) :
e.symm '' (e.target ∩ s) = e.source ∩ e ⁻¹' (e.target ∩ s) :=
e.symm.image_source_inter_eq _
#align local_homeomorph.symm_image_target_inter_eq PartialHomeomorph.symm_image_target_inter_eq
theorem source_inter_preimage_inv_preimage (s : Set X) :
e.source ∩ e ⁻¹' (e.symm ⁻¹' s) = e.source ∩ s :=
e.toPartialEquiv.source_inter_preimage_inv_preimage s
#align local_homeomorph.source_inter_preimage_inv_preimage PartialHomeomorph.source_inter_preimage_inv_preimage
theorem target_inter_inv_preimage_preimage (s : Set Y) :
e.target ∩ e.symm ⁻¹' (e ⁻¹' s) = e.target ∩ s :=
e.symm.source_inter_preimage_inv_preimage _
#align local_homeomorph.target_inter_inv_preimage_preimage PartialHomeomorph.target_inter_inv_preimage_preimage
theorem source_inter_preimage_target_inter (s : Set Y) :
e.source ∩ e ⁻¹' (e.target ∩ s) = e.source ∩ e ⁻¹' s :=
e.toPartialEquiv.source_inter_preimage_target_inter s
#align local_homeomorph.source_inter_preimage_target_inter PartialHomeomorph.source_inter_preimage_target_inter
theorem image_source_eq_target : e '' e.source = e.target :=
e.toPartialEquiv.image_source_eq_target
#align local_homeomorph.image_source_eq_target PartialHomeomorph.image_source_eq_target
theorem symm_image_target_eq_source : e.symm '' e.target = e.source :=
e.symm.image_source_eq_target
#align local_homeomorph.symm_image_target_eq_source PartialHomeomorph.symm_image_target_eq_source
/-- Two partial homeomorphisms are equal when they have equal `toFun`, `invFun` and `source`.
It is not sufficient to have equal `toFun` and `source`, as this only determines `invFun` on
the target. This would only be true for a weaker notion of equality, arguably the right one,
called `EqOnSource`. -/
@[ext]
protected theorem ext (e' : PartialHomeomorph X Y) (h : ∀ x, e x = e' x)
(hinv : ∀ x, e.symm x = e'.symm x) (hs : e.source = e'.source) : e = e' :=
toPartialEquiv_injective (PartialEquiv.ext h hinv hs)
#align local_homeomorph.ext PartialHomeomorph.ext
protected theorem ext_iff {e e' : PartialHomeomorph X Y} :
e = e' ↔ (∀ x, e x = e' x) ∧ (∀ x, e.symm x = e'.symm x) ∧ e.source = e'.source :=
⟨by
rintro rfl
exact ⟨fun x => rfl, fun x => rfl, rfl⟩, fun h => e.ext e' h.1 h.2.1 h.2.2⟩
#align local_homeomorph.ext_iff PartialHomeomorph.ext_iff
@[simp, mfld_simps]
theorem symm_toPartialEquiv : e.symm.toPartialEquiv = e.toPartialEquiv.symm :=
rfl
#align local_homeomorph.symm_to_local_equiv PartialHomeomorph.symm_toPartialEquiv
-- The following lemmas are already simp via `PartialEquiv`
theorem symm_source : e.symm.source = e.target :=
rfl
#align local_homeomorph.symm_source PartialHomeomorph.symm_source
theorem symm_target : e.symm.target = e.source :=
rfl
#align local_homeomorph.symm_target PartialHomeomorph.symm_target
@[simp, mfld_simps] theorem symm_symm : e.symm.symm = e := rfl
#align local_homeomorph.symm_symm PartialHomeomorph.symm_symm
theorem symm_bijective : Function.Bijective
(PartialHomeomorph.symm : PartialHomeomorph X Y → PartialHomeomorph Y X) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
/-- A partial homeomorphism is continuous at any point of its source -/
protected theorem continuousAt {x : X} (h : x ∈ e.source) : ContinuousAt e x :=
(e.continuousOn x h).continuousAt (e.open_source.mem_nhds h)
#align local_homeomorph.continuous_at PartialHomeomorph.continuousAt
/-- A partial homeomorphism inverse is continuous at any point of its target -/
theorem continuousAt_symm {x : Y} (h : x ∈ e.target) : ContinuousAt e.symm x :=
e.symm.continuousAt h
#align local_homeomorph.continuous_at_symm PartialHomeomorph.continuousAt_symm
theorem tendsto_symm {x} (hx : x ∈ e.source) : Tendsto e.symm (𝓝 (e x)) (𝓝 x) := by
simpa only [ContinuousAt, e.left_inv hx] using e.continuousAt_symm (e.map_source hx)
#align local_homeomorph.tendsto_symm PartialHomeomorph.tendsto_symm
theorem map_nhds_eq {x} (hx : x ∈ e.source) : map e (𝓝 x) = 𝓝 (e x) :=
le_antisymm (e.continuousAt hx) <|
le_map_of_right_inverse (e.eventually_right_inverse' hx) (e.tendsto_symm hx)
#align local_homeomorph.map_nhds_eq PartialHomeomorph.map_nhds_eq
theorem symm_map_nhds_eq {x} (hx : x ∈ e.source) : map e.symm (𝓝 (e x)) = 𝓝 x :=
(e.symm.map_nhds_eq <| e.map_source hx).trans <| by rw [e.left_inv hx]
#align local_homeomorph.symm_map_nhds_eq PartialHomeomorph.symm_map_nhds_eq
theorem image_mem_nhds {x} (hx : x ∈ e.source) {s : Set X} (hs : s ∈ 𝓝 x) : e '' s ∈ 𝓝 (e x) :=
e.map_nhds_eq hx ▸ Filter.image_mem_map hs
#align local_homeomorph.image_mem_nhds PartialHomeomorph.image_mem_nhds
theorem map_nhdsWithin_eq {x} (hx : x ∈ e.source) (s : Set X) :
map e (𝓝[s] x) = 𝓝[e '' (e.source ∩ s)] e x :=
calc
map e (𝓝[s] x) = map e (𝓝[e.source ∩ s] x) :=
congr_arg (map e) (e.nhdsWithin_source_inter hx _).symm
_ = 𝓝[e '' (e.source ∩ s)] e x :=
(e.leftInvOn.mono inter_subset_left).map_nhdsWithin_eq (e.left_inv hx)
(e.continuousAt_symm (e.map_source hx)).continuousWithinAt
(e.continuousAt hx).continuousWithinAt
#align local_homeomorph.map_nhds_within_eq PartialHomeomorph.map_nhdsWithin_eq
theorem map_nhdsWithin_preimage_eq {x} (hx : x ∈ e.source) (s : Set Y) :
map e (𝓝[e ⁻¹' s] x) = 𝓝[s] e x := by
rw [e.map_nhdsWithin_eq hx, e.image_source_inter_eq', e.target_inter_inv_preimage_preimage,
e.nhdsWithin_target_inter (e.map_source hx)]
#align local_homeomorph.map_nhds_within_preimage_eq PartialHomeomorph.map_nhdsWithin_preimage_eq
theorem eventually_nhds {x : X} (p : Y → Prop) (hx : x ∈ e.source) :
(∀ᶠ y in 𝓝 (e x), p y) ↔ ∀ᶠ x in 𝓝 x, p (e x) :=
Iff.trans (by rw [e.map_nhds_eq hx]) eventually_map
#align local_homeomorph.eventually_nhds PartialHomeomorph.eventually_nhds
theorem eventually_nhds' {x : X} (p : X → Prop) (hx : x ∈ e.source) :
(∀ᶠ y in 𝓝 (e x), p (e.symm y)) ↔ ∀ᶠ x in 𝓝 x, p x := by
rw [e.eventually_nhds _ hx]
refine eventually_congr ((e.eventually_left_inverse hx).mono fun y hy => ?_)
rw [hy]
#align local_homeomorph.eventually_nhds' PartialHomeomorph.eventually_nhds'
theorem eventually_nhdsWithin {x : X} (p : Y → Prop) {s : Set X}
(hx : x ∈ e.source) : (∀ᶠ y in 𝓝[e.symm ⁻¹' s] e x, p y) ↔ ∀ᶠ x in 𝓝[s] x, p (e x) := by
refine Iff.trans ?_ eventually_map
rw [e.map_nhdsWithin_eq hx, e.image_source_inter_eq', e.nhdsWithin_target_inter (e.mapsTo hx)]
#align local_homeomorph.eventually_nhds_within PartialHomeomorph.eventually_nhdsWithin
| Mathlib/Topology/PartialHomeomorph.lean | 433 | 438 | theorem eventually_nhdsWithin' {x : X} (p : X → Prop) {s : Set X}
(hx : x ∈ e.source) : (∀ᶠ y in 𝓝[e.symm ⁻¹' s] e x, p (e.symm y)) ↔ ∀ᶠ x in 𝓝[s] x, p x := by |
rw [e.eventually_nhdsWithin _ hx]
refine eventually_congr <|
(eventually_nhdsWithin_of_eventually_nhds <| e.eventually_left_inverse hx).mono fun y hy => ?_
rw [hy]
|
/-
Copyright (c) 2022 Violeta Hernández Palacios. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Violeta Hernández Palacios
-/
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Computability.Primrec
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Linarith
#align_import computability.ackermann from "leanprover-community/mathlib"@"9b2660e1b25419042c8da10bf411aa3c67f14383"
/-!
# Ackermann function
In this file, we define the two-argument Ackermann function `ack`. Despite having a recursive
definition, we show that this isn't a primitive recursive function.
## Main results
- `exists_lt_ack_of_nat_primrec`: any primitive recursive function is pointwise bounded above by
`ack m` for some `m`.
- `not_primrec₂_ack`: the two-argument Ackermann function is not primitive recursive.
## Proof approach
We very broadly adapt the proof idea from
https://www.planetmath.org/ackermannfunctionisnotprimitiverecursive. Namely, we prove that for any
primitive recursive `f : ℕ → ℕ`, there exists `m` such that `f n < ack m n` for all `n`. This then
implies that `fun n => ack n n` can't be primitive recursive, and so neither can `ack`. We aren't
able to use the same bounds as in that proof though, since our approach of using pairing functions
differs from their approach of using multivariate functions.
The important bounds we show during the main inductive proof (`exists_lt_ack_of_nat_primrec`)
are the following. Assuming `∀ n, f n < ack a n` and `∀ n, g n < ack b n`, we have:
- `∀ n, pair (f n) (g n) < ack (max a b + 3) n`.
- `∀ n, g (f n) < ack (max a b + 2) n`.
- `∀ n, Nat.rec (f n.unpair.1) (fun (y IH : ℕ) => g (pair n.unpair.1 (pair y IH)))
n.unpair.2 < ack (max a b + 9) n`.
The last one is evidently the hardest. Using `unpair_add_le`, we reduce it to the more manageable
- `∀ m n, rec (f m) (fun (y IH : ℕ) => g (pair m (pair y IH))) n <
ack (max a b + 9) (m + n)`.
We then prove this by induction on `n`. Our proof crucially depends on `ack_pair_lt`, which is
applied twice, giving us a constant of `4 + 4`. The rest of the proof consists of simpler bounds
which bump up our constant to `9`.
-/
open Nat
/-- The two-argument Ackermann function, defined so that
- `ack 0 n = n + 1`
- `ack (m + 1) 0 = ack m 1`
- `ack (m + 1) (n + 1) = ack m (ack (m + 1) n)`.
This is of interest as both a fast-growing function, and as an example of a recursive function that
isn't primitive recursive. -/
def ack : ℕ → ℕ → ℕ
| 0, n => n + 1
| m + 1, 0 => ack m 1
| m + 1, n + 1 => ack m (ack (m + 1) n)
#align ack ack
@[simp]
| Mathlib/Computability/Ackermann.lean | 70 | 70 | theorem ack_zero (n : ℕ) : ack 0 n = n + 1 := by | rw [ack]
|
/-
Copyright (c) 2022 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.Probability.Variance
#align_import probability.moments from "leanprover-community/mathlib"@"85453a2a14be8da64caf15ca50930cf4c6e5d8de"
/-!
# Moments and moment generating function
## Main definitions
* `ProbabilityTheory.moment X p μ`: `p`th moment of a real random variable `X` with respect to
measure `μ`, `μ[X^p]`
* `ProbabilityTheory.centralMoment X p μ`:`p`th central moment of `X` with respect to measure `μ`,
`μ[(X - μ[X])^p]`
* `ProbabilityTheory.mgf X μ t`: moment generating function of `X` with respect to measure `μ`,
`μ[exp(t*X)]`
* `ProbabilityTheory.cgf X μ t`: cumulant generating function, logarithm of the moment generating
function
## Main results
* `ProbabilityTheory.IndepFun.mgf_add`: if two real random variables `X` and `Y` are independent
and their mgfs are defined at `t`, then `mgf (X + Y) μ t = mgf X μ t * mgf Y μ t`
* `ProbabilityTheory.IndepFun.cgf_add`: if two real random variables `X` and `Y` are independent
and their cgfs are defined at `t`, then `cgf (X + Y) μ t = cgf X μ t + cgf Y μ t`
* `ProbabilityTheory.measure_ge_le_exp_cgf` and `ProbabilityTheory.measure_le_le_exp_cgf`:
Chernoff bound on the upper (resp. lower) tail of a random variable. For `t` nonnegative such that
the cgf exists, `ℙ(ε ≤ X) ≤ exp(- t*ε + cgf X ℙ t)`. See also
`ProbabilityTheory.measure_ge_le_exp_mul_mgf` and
`ProbabilityTheory.measure_le_le_exp_mul_mgf` for versions of these results using `mgf` instead
of `cgf`.
-/
open MeasureTheory Filter Finset Real
noncomputable section
open scoped MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
variable {Ω ι : Type*} {m : MeasurableSpace Ω} {X : Ω → ℝ} {p : ℕ} {μ : Measure Ω}
/-- Moment of a real random variable, `μ[X ^ p]`. -/
def moment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ :=
μ[X ^ p]
#align probability_theory.moment ProbabilityTheory.moment
/-- Central moment of a real random variable, `μ[(X - μ[X]) ^ p]`. -/
def centralMoment (X : Ω → ℝ) (p : ℕ) (μ : Measure Ω) : ℝ := by
have m := fun (x : Ω) => μ[X] -- Porting note: Lean deems `μ[(X - fun x => μ[X]) ^ p]` ambiguous
exact μ[(X - m) ^ p]
#align probability_theory.central_moment ProbabilityTheory.centralMoment
@[simp]
| Mathlib/Probability/Moments.lean | 62 | 64 | theorem moment_zero (hp : p ≠ 0) : moment 0 p μ = 0 := by |
simp only [moment, hp, zero_pow, Ne, not_false_iff, Pi.zero_apply, integral_const,
smul_eq_mul, mul_zero, integral_zero]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Buzzard, Yury Kudryashov, Frédéric Dupuis,
Heather Macbeth
-/
import Mathlib.Algebra.Module.Submodule.EqLocus
import Mathlib.Algebra.Module.Submodule.RestrictScalars
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.Data.Set.Pointwise.SMul
import Mathlib.LinearAlgebra.Basic
import Mathlib.Order.CompactlyGenerated.Basic
import Mathlib.Order.OmegaCompletePartialOrder
#align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0"
/-!
# The span of a set of vectors, as a submodule
* `Submodule.span s` is defined to be the smallest submodule containing the set `s`.
## Notations
* We introduce the notation `R ∙ v` for the span of a singleton, `Submodule.span R {v}`. This is
`\span`, not the same as the scalar multiplication `•`/`\bub`.
-/
variable {R R₂ K M M₂ V S : Type*}
namespace Submodule
open Function Set
open Pointwise
section AddCommMonoid
variable [Semiring R] [AddCommMonoid M] [Module R M]
variable {x : M} (p p' : Submodule R M)
variable [Semiring R₂] {σ₁₂ : R →+* R₂}
variable [AddCommMonoid M₂] [Module R₂ M₂]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂]
section
variable (R)
/-- The span of a set `s ⊆ M` is the smallest submodule of M that contains `s`. -/
def span (s : Set M) : Submodule R M :=
sInf { p | s ⊆ p }
#align submodule.span Submodule.span
variable {R}
-- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument
/-- An `R`-submodule of `M` is principal if it is generated by one element. -/
@[mk_iff]
class IsPrincipal (S : Submodule R M) : Prop where
principal' : ∃ a, S = span R {a}
#align submodule.is_principal Submodule.IsPrincipal
theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] :
∃ a, S = span R {a} :=
Submodule.IsPrincipal.principal'
#align submodule.is_principal.principal Submodule.IsPrincipal.principal
end
variable {s t : Set M}
theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p :=
mem_iInter₂
#align submodule.mem_span Submodule.mem_span
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h
#align submodule.subset_span Submodule.subset_span
theorem span_le {p} : span R s ≤ p ↔ s ⊆ p :=
⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩
#align submodule.span_le Submodule.span_le
theorem span_mono (h : s ⊆ t) : span R s ≤ span R t :=
span_le.2 <| Subset.trans h subset_span
#align submodule.span_mono Submodule.span_mono
theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono
#align submodule.span_monotone Submodule.span_monotone
theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p :=
le_antisymm (span_le.2 h₁) h₂
#align submodule.span_eq_of_le Submodule.span_eq_of_le
theorem span_eq : span R (p : Set M) = p :=
span_eq_of_le _ (Subset.refl _) subset_span
#align submodule.span_eq Submodule.span_eq
theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t :=
le_antisymm (span_le.2 hs) (span_le.2 ht)
#align submodule.span_eq_span Submodule.span_eq_span
/-- A version of `Submodule.span_eq` for subobjects closed under addition and scalar multiplication
and containing zero. In general, this should not be used directly, but can be used to quickly
generate proofs for specific types of subobjects. -/
lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) :
(span R (s : Set M) : Set M) = s := by
refine le_antisymm ?_ subset_span
let s' : Submodule R M :=
{ carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
smul_mem' := SMulMemClass.smul_mem }
exact span_le (p := s') |>.mpr le_rfl
/-- A version of `Submodule.span_eq` for when the span is by a smaller ring. -/
@[simp]
theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] :
span S (p : Set M) = p.restrictScalars S :=
span_eq (p.restrictScalars S)
#align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars
/-- A version of `Submodule.map_span_le` that does not require the `RingHomSurjective`
assumption. -/
theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) :
f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f)
theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) :=
(image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩
theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) :
(span R s).map f = span R₂ (f '' s) :=
Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s)
#align submodule.map_span Submodule.map_span
alias _root_.LinearMap.map_span := Submodule.map_span
#align linear_map.map_span LinearMap.map_span
theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) :
map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N
#align submodule.map_span_le Submodule.map_span_le
alias _root_.LinearMap.map_span_le := Submodule.map_span_le
#align linear_map.map_span_le LinearMap.map_span_le
@[simp]
theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by
refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s))
rw [span_le, Set.insert_subset_iff]
exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩
#align submodule.span_insert_zero Submodule.span_insert_zero
-- See also `span_preimage_eq` below.
theorem span_preimage_le (f : F) (s : Set M₂) :
span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by
rw [span_le, comap_coe]
exact preimage_mono subset_span
#align submodule.span_preimage_le Submodule.span_preimage_le
alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le
#align linear_map.span_preimage_le LinearMap.span_preimage_le
theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s :=
(@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span
#align submodule.closure_subset_span Submodule.closure_subset_span
theorem closure_le_toAddSubmonoid_span {s : Set M} :
AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid :=
closure_subset_span
#align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span
@[simp]
theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s :=
le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure)
#align submodule.span_closure Submodule.span_closure
/-- An induction principle for span membership. If `p` holds for 0 and all elements of `s`, and is
preserved under addition and scalar multiplication, then `p` holds for all elements of the span of
`s`. -/
@[elab_as_elim]
theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x :=
((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h
#align submodule.span_induction Submodule.span_induction
/-- An induction principle for span membership. This is a version of `Submodule.span_induction`
for binary predicates. -/
theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s)
(hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y)
(zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0)
(add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y)
(add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂))
(smul_left : ∀ (r : R) x y, p x y → p (r • x) y)
(smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b :=
Submodule.span_induction ha
(fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r =>
smul_right r x)
(zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b
/-- A dependent version of `Submodule.span_induction`. -/
@[elab_as_elim]
theorem span_induction' {p : ∀ x, x ∈ span R s → Prop}
(mem : ∀ (x) (h : x ∈ s), p x (subset_span h))
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc
refine
span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩
(fun x y hx hy =>
Exists.elim hx fun hx' hx =>
Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩
#align submodule.span_induction' Submodule.span_induction'
open AddSubmonoid in
theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by
refine le_antisymm
(fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩)
(zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_)
(closure_le.2 ?_)
· rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm)
· rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩
· rw [smul_zero]; apply zero_mem
· rw [smul_add]; exact add_mem h h'
/-- A variant of `span_induction` that combines `∀ x ∈ s, p x` and `∀ r x, p x → p (r • x)`
into a single condition `∀ r, ∀ x ∈ s, p (r • x)`, which can be easier to verify. -/
@[elab_as_elim]
theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by
rw [← mem_toAddSubmonoid, span_eq_closure] at h
refine AddSubmonoid.closure_induction h ?_ zero add
rintro _ ⟨r, -, m, hm, rfl⟩
exact smul_mem r m hm
/-- A dependent version of `Submodule.closure_induction`. -/
@[elab_as_elim]
theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop}
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc
refine closure_induction hx ⟨zero_mem _, zero⟩
(fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦
Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩
@[simp]
theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ :=
eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by
refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s))
(fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx
· exact zero_mem _
· exact add_mem
· exact smul_mem _ _
#align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage
@[simp]
lemma span_setOf_mem_eq_top :
span R {x : span R s | (x : M) ∈ s} = ⊤ :=
span_span_coe_preimage
theorem span_nat_eq_addSubmonoid_closure (s : Set M) :
(span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by
refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_)
apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le
(a := span ℕ s) (b := AddSubmonoid.closure s)
rw [span_le]
exact AddSubmonoid.subset_closure
#align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure
@[simp]
theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by
rw [span_nat_eq_addSubmonoid_closure, s.closure_eq]
#align submodule.span_nat_eq Submodule.span_nat_eq
theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) :
(span ℤ s).toAddSubgroup = AddSubgroup.closure s :=
Eq.symm <|
AddSubgroup.closure_eq_of_le _ subset_span fun x hx =>
span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _)
(fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _
#align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure
@[simp]
theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) :
(span ℤ (s : Set M)).toAddSubgroup = s := by rw [span_int_eq_addSubgroup_closure, s.closure_eq]
#align submodule.span_int_eq Submodule.span_int_eq
section
variable (R M)
/-- `span` forms a Galois insertion with the coercion from submodule to set. -/
protected def gi : GaloisInsertion (@span R M _ _ _) (↑) where
choice s _ := span R s
gc _ _ := span_le
le_l_u _ := subset_span
choice_eq _ _ := rfl
#align submodule.gi Submodule.gi
end
@[simp]
theorem span_empty : span R (∅ : Set M) = ⊥ :=
(Submodule.gi R M).gc.l_bot
#align submodule.span_empty Submodule.span_empty
@[simp]
theorem span_univ : span R (univ : Set M) = ⊤ :=
eq_top_iff.2 <| SetLike.le_def.2 <| subset_span
#align submodule.span_univ Submodule.span_univ
theorem span_union (s t : Set M) : span R (s ∪ t) = span R s ⊔ span R t :=
(Submodule.gi R M).gc.l_sup
#align submodule.span_union Submodule.span_union
theorem span_iUnion {ι} (s : ι → Set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) :=
(Submodule.gi R M).gc.l_iSup
#align submodule.span_Union Submodule.span_iUnion
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
theorem span_iUnion₂ {ι} {κ : ι → Sort*} (s : ∀ i, κ i → Set M) :
span R (⋃ (i) (j), s i j) = ⨆ (i) (j), span R (s i j) :=
(Submodule.gi R M).gc.l_iSup₂
#align submodule.span_Union₂ Submodule.span_iUnion₂
theorem span_attach_biUnion [DecidableEq M] {α : Type*} (s : Finset α) (f : s → Finset M) :
span R (s.attach.biUnion f : Set M) = ⨆ x, span R (f x) := by simp [span_iUnion]
#align submodule.span_attach_bUnion Submodule.span_attach_biUnion
theorem sup_span : p ⊔ span R s = span R (p ∪ s) := by rw [Submodule.span_union, p.span_eq]
#align submodule.sup_span Submodule.sup_span
theorem span_sup : span R s ⊔ p = span R (s ∪ p) := by rw [Submodule.span_union, p.span_eq]
#align submodule.span_sup Submodule.span_sup
notation:1000
/- Note that the character `∙` U+2219 used below is different from the scalar multiplication
character `•` U+2022. -/
R " ∙ " x => span R (singleton x)
theorem span_eq_iSup_of_singleton_spans (s : Set M) : span R s = ⨆ x ∈ s, R ∙ x := by
simp only [← span_iUnion, Set.biUnion_of_singleton s]
#align submodule.span_eq_supr_of_singleton_spans Submodule.span_eq_iSup_of_singleton_spans
theorem span_range_eq_iSup {ι : Sort*} {v : ι → M} : span R (range v) = ⨆ i, R ∙ v i := by
rw [span_eq_iSup_of_singleton_spans, iSup_range]
#align submodule.span_range_eq_supr Submodule.span_range_eq_iSup
theorem span_smul_le (s : Set M) (r : R) : span R (r • s) ≤ span R s := by
rw [span_le]
rintro _ ⟨x, hx, rfl⟩
exact smul_mem (span R s) r (subset_span hx)
#align submodule.span_smul_le Submodule.span_smul_le
theorem subset_span_trans {U V W : Set M} (hUV : U ⊆ Submodule.span R V)
(hVW : V ⊆ Submodule.span R W) : U ⊆ Submodule.span R W :=
(Submodule.gi R M).gc.le_u_l_trans hUV hVW
#align submodule.subset_span_trans Submodule.subset_span_trans
/-- See `Submodule.span_smul_eq` (in `RingTheory.Ideal.Operations`) for
`span R (r • s) = r • span R s` that holds for arbitrary `r` in a `CommSemiring`. -/
theorem span_smul_eq_of_isUnit (s : Set M) (r : R) (hr : IsUnit r) : span R (r • s) = span R s := by
apply le_antisymm
· apply span_smul_le
· convert span_smul_le (r • s) ((hr.unit⁻¹ : _) : R)
rw [smul_smul]
erw [hr.unit.inv_val]
rw [one_smul]
#align submodule.span_smul_eq_of_is_unit Submodule.span_smul_eq_of_isUnit
@[simp]
theorem coe_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M)
(H : Directed (· ≤ ·) S) : ((iSup S: Submodule R M) : Set M) = ⋃ i, S i :=
let s : Submodule R M :=
{ __ := AddSubmonoid.copy _ _ (AddSubmonoid.coe_iSup_of_directed H).symm
smul_mem' := fun r _ hx ↦ have ⟨i, hi⟩ := Set.mem_iUnion.mp hx
Set.mem_iUnion.mpr ⟨i, (S i).smul_mem' r hi⟩ }
have : iSup S = s := le_antisymm
(iSup_le fun i ↦ le_iSup (fun i ↦ (S i : Set M)) i) (Set.iUnion_subset fun _ ↦ le_iSup S _)
this.symm ▸ rfl
#align submodule.coe_supr_of_directed Submodule.coe_iSup_of_directed
@[simp]
theorem mem_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) {x} :
x ∈ iSup S ↔ ∃ i, x ∈ S i := by
rw [← SetLike.mem_coe, coe_iSup_of_directed S H, mem_iUnion]
rfl
#align submodule.mem_supr_of_directed Submodule.mem_iSup_of_directed
theorem mem_sSup_of_directed {s : Set (Submodule R M)} {z} (hs : s.Nonempty)
(hdir : DirectedOn (· ≤ ·) s) : z ∈ sSup s ↔ ∃ y ∈ s, z ∈ y := by
have : Nonempty s := hs.to_subtype
simp only [sSup_eq_iSup', mem_iSup_of_directed _ hdir.directed_val, SetCoe.exists, Subtype.coe_mk,
exists_prop]
#align submodule.mem_Sup_of_directed Submodule.mem_sSup_of_directed
@[norm_cast, simp]
theorem coe_iSup_of_chain (a : ℕ →o Submodule R M) : (↑(⨆ k, a k) : Set M) = ⋃ k, (a k : Set M) :=
coe_iSup_of_directed a a.monotone.directed_le
#align submodule.coe_supr_of_chain Submodule.coe_iSup_of_chain
/-- We can regard `coe_iSup_of_chain` as the statement that `(↑) : (Submodule R M) → Set M` is
Scott continuous for the ω-complete partial order induced by the complete lattice structures. -/
theorem coe_scott_continuous :
OmegaCompletePartialOrder.Continuous' ((↑) : Submodule R M → Set M) :=
⟨SetLike.coe_mono, coe_iSup_of_chain⟩
#align submodule.coe_scott_continuous Submodule.coe_scott_continuous
@[simp]
theorem mem_iSup_of_chain (a : ℕ →o Submodule R M) (m : M) : (m ∈ ⨆ k, a k) ↔ ∃ k, m ∈ a k :=
mem_iSup_of_directed a a.monotone.directed_le
#align submodule.mem_supr_of_chain Submodule.mem_iSup_of_chain
section
variable {p p'}
theorem mem_sup : x ∈ p ⊔ p' ↔ ∃ y ∈ p, ∃ z ∈ p', y + z = x :=
⟨fun h => by
rw [← span_eq p, ← span_eq p', ← span_union] at h
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (h | h)
· exact ⟨y, h, 0, by simp, by simp⟩
· exact ⟨0, by simp, y, h, by simp⟩
· exact ⟨0, by simp, 0, by simp⟩
· rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩
exact ⟨_, add_mem hy₁ hy₂, _, add_mem hz₁ hz₂, by
rw [add_assoc, add_assoc, ← add_assoc y₂, ← add_assoc z₁, add_comm y₂]⟩
· rintro a _ ⟨y, hy, z, hz, rfl⟩
exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩, by
rintro ⟨y, hy, z, hz, rfl⟩
exact add_mem ((le_sup_left : p ≤ p ⊔ p') hy) ((le_sup_right : p' ≤ p ⊔ p') hz)⟩
#align submodule.mem_sup Submodule.mem_sup
theorem mem_sup' : x ∈ p ⊔ p' ↔ ∃ (y : p) (z : p'), (y : M) + z = x :=
mem_sup.trans <| by simp only [Subtype.exists, exists_prop]
#align submodule.mem_sup' Submodule.mem_sup'
lemma exists_add_eq_of_codisjoint (h : Codisjoint p p') (x : M) :
∃ y ∈ p, ∃ z ∈ p', y + z = x := by
suffices x ∈ p ⊔ p' by exact Submodule.mem_sup.mp this
simpa only [h.eq_top] using Submodule.mem_top
variable (p p')
theorem coe_sup : ↑(p ⊔ p') = (p + p' : Set M) := by
ext
rw [SetLike.mem_coe, mem_sup, Set.mem_add]
simp
#align submodule.coe_sup Submodule.coe_sup
theorem sup_toAddSubmonoid : (p ⊔ p').toAddSubmonoid = p.toAddSubmonoid ⊔ p'.toAddSubmonoid := by
ext x
rw [mem_toAddSubmonoid, mem_sup, AddSubmonoid.mem_sup]
rfl
#align submodule.sup_to_add_submonoid Submodule.sup_toAddSubmonoid
theorem sup_toAddSubgroup {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
(p p' : Submodule R M) : (p ⊔ p').toAddSubgroup = p.toAddSubgroup ⊔ p'.toAddSubgroup := by
ext x
rw [mem_toAddSubgroup, mem_sup, AddSubgroup.mem_sup]
rfl
#align submodule.sup_to_add_subgroup Submodule.sup_toAddSubgroup
end
theorem mem_span_singleton_self (x : M) : x ∈ R ∙ x :=
subset_span rfl
#align submodule.mem_span_singleton_self Submodule.mem_span_singleton_self
theorem nontrivial_span_singleton {x : M} (h : x ≠ 0) : Nontrivial (R ∙ x) :=
⟨by
use 0, ⟨x, Submodule.mem_span_singleton_self x⟩
intro H
rw [eq_comm, Submodule.mk_eq_zero] at H
exact h H⟩
#align submodule.nontrivial_span_singleton Submodule.nontrivial_span_singleton
theorem mem_span_singleton {y : M} : (x ∈ R ∙ y) ↔ ∃ a : R, a • y = x :=
⟨fun h => by
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (rfl | ⟨⟨_⟩⟩)
exact ⟨1, by simp⟩
· exact ⟨0, by simp⟩
· rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩
exact ⟨a + b, by simp [add_smul]⟩
· rintro a _ ⟨b, rfl⟩
exact ⟨a * b, by simp [smul_smul]⟩, by
rintro ⟨a, y, rfl⟩; exact smul_mem _ _ (subset_span <| by simp)⟩
#align submodule.mem_span_singleton Submodule.mem_span_singleton
theorem le_span_singleton_iff {s : Submodule R M} {v₀ : M} :
(s ≤ R ∙ v₀) ↔ ∀ v ∈ s, ∃ r : R, r • v₀ = v := by simp_rw [SetLike.le_def, mem_span_singleton]
#align submodule.le_span_singleton_iff Submodule.le_span_singleton_iff
variable (R)
theorem span_singleton_eq_top_iff (x : M) : (R ∙ x) = ⊤ ↔ ∀ v, ∃ r : R, r • x = v := by
rw [eq_top_iff, le_span_singleton_iff]
tauto
#align submodule.span_singleton_eq_top_iff Submodule.span_singleton_eq_top_iff
@[simp]
theorem span_zero_singleton : (R ∙ (0 : M)) = ⊥ := by
ext
simp [mem_span_singleton, eq_comm]
#align submodule.span_zero_singleton Submodule.span_zero_singleton
theorem span_singleton_eq_range (y : M) : ↑(R ∙ y) = range ((· • y) : R → M) :=
Set.ext fun _ => mem_span_singleton
#align submodule.span_singleton_eq_range Submodule.span_singleton_eq_range
theorem span_singleton_smul_le {S} [Monoid S] [SMul S R] [MulAction S M] [IsScalarTower S R M]
(r : S) (x : M) : (R ∙ r • x) ≤ R ∙ x := by
rw [span_le, Set.singleton_subset_iff, SetLike.mem_coe]
exact smul_of_tower_mem _ _ (mem_span_singleton_self _)
#align submodule.span_singleton_smul_le Submodule.span_singleton_smul_le
theorem span_singleton_group_smul_eq {G} [Group G] [SMul G R] [MulAction G M] [IsScalarTower G R M]
(g : G) (x : M) : (R ∙ g • x) = R ∙ x := by
refine le_antisymm (span_singleton_smul_le R g x) ?_
convert span_singleton_smul_le R g⁻¹ (g • x)
exact (inv_smul_smul g x).symm
#align submodule.span_singleton_group_smul_eq Submodule.span_singleton_group_smul_eq
variable {R}
theorem span_singleton_smul_eq {r : R} (hr : IsUnit r) (x : M) : (R ∙ r • x) = R ∙ x := by
lift r to Rˣ using hr
rw [← Units.smul_def]
exact span_singleton_group_smul_eq R r x
#align submodule.span_singleton_smul_eq Submodule.span_singleton_smul_eq
theorem disjoint_span_singleton {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E]
{s : Submodule K E} {x : E} : Disjoint s (K ∙ x) ↔ x ∈ s → x = 0 := by
refine disjoint_def.trans ⟨fun H hx => H x hx <| subset_span <| mem_singleton x, ?_⟩
intro H y hy hyx
obtain ⟨c, rfl⟩ := mem_span_singleton.1 hyx
by_cases hc : c = 0
· rw [hc, zero_smul]
· rw [s.smul_mem_iff hc] at hy
rw [H hy, smul_zero]
#align submodule.disjoint_span_singleton Submodule.disjoint_span_singleton
theorem disjoint_span_singleton' {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E]
{p : Submodule K E} {x : E} (x0 : x ≠ 0) : Disjoint p (K ∙ x) ↔ x ∉ p :=
disjoint_span_singleton.trans ⟨fun h₁ h₂ => x0 (h₁ h₂), fun h₁ h₂ => (h₁ h₂).elim⟩
#align submodule.disjoint_span_singleton' Submodule.disjoint_span_singleton'
theorem mem_span_singleton_trans {x y z : M} (hxy : x ∈ R ∙ y) (hyz : y ∈ R ∙ z) : x ∈ R ∙ z := by
rw [← SetLike.mem_coe, ← singleton_subset_iff] at *
exact Submodule.subset_span_trans hxy hyz
#align submodule.mem_span_singleton_trans Submodule.mem_span_singleton_trans
theorem span_insert (x) (s : Set M) : span R (insert x s) = (R ∙ x) ⊔ span R s := by
rw [insert_eq, span_union]
#align submodule.span_insert Submodule.span_insert
theorem span_insert_eq_span (h : x ∈ span R s) : span R (insert x s) = span R s :=
span_eq_of_le _ (Set.insert_subset_iff.mpr ⟨h, subset_span⟩) (span_mono <| subset_insert _ _)
#align submodule.span_insert_eq_span Submodule.span_insert_eq_span
theorem span_span : span R (span R s : Set M) = span R s :=
span_eq _
#align submodule.span_span Submodule.span_span
theorem mem_span_insert {y} :
x ∈ span R (insert y s) ↔ ∃ a : R, ∃ z ∈ span R s, x = a • y + z := by
simp [span_insert, mem_sup, mem_span_singleton, eq_comm (a := x)]
#align submodule.mem_span_insert Submodule.mem_span_insert
theorem mem_span_pair {x y z : M} :
z ∈ span R ({x, y} : Set M) ↔ ∃ a b : R, a • x + b • y = z := by
simp_rw [mem_span_insert, mem_span_singleton, exists_exists_eq_and, eq_comm]
#align submodule.mem_span_pair Submodule.mem_span_pair
variable (R S s)
/-- If `R` is "smaller" ring than `S` then the span by `R` is smaller than the span by `S`. -/
theorem span_le_restrictScalars [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
span R s ≤ (span S s).restrictScalars R :=
Submodule.span_le.2 Submodule.subset_span
#align submodule.span_le_restrict_scalars Submodule.span_le_restrictScalars
/-- A version of `Submodule.span_le_restrictScalars` with coercions. -/
@[simp]
theorem span_subset_span [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
↑(span R s) ⊆ (span S s : Set M) :=
span_le_restrictScalars R S s
#align submodule.span_subset_span Submodule.span_subset_span
/-- Taking the span by a large ring of the span by the small ring is the same as taking the span
by just the large ring. -/
theorem span_span_of_tower [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
span S (span R s : Set M) = span S s :=
le_antisymm (span_le.2 <| span_subset_span R S s) (span_mono subset_span)
#align submodule.span_span_of_tower Submodule.span_span_of_tower
variable {R S s}
theorem span_eq_bot : span R (s : Set M) = ⊥ ↔ ∀ x ∈ s, (x : M) = 0 :=
eq_bot_iff.trans
⟨fun H _ h => (mem_bot R).1 <| H <| subset_span h, fun H =>
span_le.2 fun x h => (mem_bot R).2 <| H x h⟩
#align submodule.span_eq_bot Submodule.span_eq_bot
@[simp]
theorem span_singleton_eq_bot : (R ∙ x) = ⊥ ↔ x = 0 :=
span_eq_bot.trans <| by simp
#align submodule.span_singleton_eq_bot Submodule.span_singleton_eq_bot
@[simp]
theorem span_zero : span R (0 : Set M) = ⊥ := by rw [← singleton_zero, span_singleton_eq_bot]
#align submodule.span_zero Submodule.span_zero
@[simp]
theorem span_singleton_le_iff_mem (m : M) (p : Submodule R M) : (R ∙ m) ≤ p ↔ m ∈ p := by
rw [span_le, singleton_subset_iff, SetLike.mem_coe]
#align submodule.span_singleton_le_iff_mem Submodule.span_singleton_le_iff_mem
theorem span_singleton_eq_span_singleton {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
[NoZeroSMulDivisors R M] {x y : M} : ((R ∙ x) = R ∙ y) ↔ ∃ z : Rˣ, z • x = y := by
constructor
· simp only [le_antisymm_iff, span_singleton_le_iff_mem, mem_span_singleton]
rintro ⟨⟨a, rfl⟩, b, hb⟩
rcases eq_or_ne y 0 with rfl | hy; · simp
refine ⟨⟨b, a, ?_, ?_⟩, hb⟩
· apply smul_left_injective R hy
simpa only [mul_smul, one_smul]
· rw [← hb] at hy
apply smul_left_injective R (smul_ne_zero_iff.1 hy).2
simp only [mul_smul, one_smul, hb]
· rintro ⟨u, rfl⟩
exact (span_singleton_group_smul_eq _ _ _).symm
#align submodule.span_singleton_eq_span_singleton Submodule.span_singleton_eq_span_singleton
-- Should be `@[simp]` but doesn't fire due to `lean4#3701`.
theorem span_image [RingHomSurjective σ₁₂] (f : F) :
span R₂ (f '' s) = map f (span R s) :=
(map_span f s).symm
#align submodule.span_image Submodule.span_image
@[simp] -- Should be replaced with `Submodule.span_image` when `lean4#3701` is fixed.
theorem span_image' [RingHomSurjective σ₁₂] (f : M →ₛₗ[σ₁₂] M₂) :
span R₂ (f '' s) = map f (span R s) :=
span_image _
theorem apply_mem_span_image_of_mem_span [RingHomSurjective σ₁₂] (f : F) {x : M}
{s : Set M} (h : x ∈ Submodule.span R s) : f x ∈ Submodule.span R₂ (f '' s) := by
rw [Submodule.span_image]
exact Submodule.mem_map_of_mem h
#align submodule.apply_mem_span_image_of_mem_span Submodule.apply_mem_span_image_of_mem_span
theorem apply_mem_span_image_iff_mem_span [RingHomSurjective σ₁₂] {f : F} {x : M}
{s : Set M} (hf : Function.Injective f) :
f x ∈ Submodule.span R₂ (f '' s) ↔ x ∈ Submodule.span R s := by
rw [← Submodule.mem_comap, ← Submodule.map_span, Submodule.comap_map_eq_of_injective hf]
@[simp]
theorem map_subtype_span_singleton {p : Submodule R M} (x : p) :
map p.subtype (R ∙ x) = R ∙ (x : M) := by simp [← span_image]
#align submodule.map_subtype_span_singleton Submodule.map_subtype_span_singleton
/-- `f` is an explicit argument so we can `apply` this theorem and obtain `h` as a new goal. -/
theorem not_mem_span_of_apply_not_mem_span_image [RingHomSurjective σ₁₂] (f : F) {x : M}
{s : Set M} (h : f x ∉ Submodule.span R₂ (f '' s)) : x ∉ Submodule.span R s :=
h.imp (apply_mem_span_image_of_mem_span f)
#align submodule.not_mem_span_of_apply_not_mem_span_image Submodule.not_mem_span_of_apply_not_mem_span_image
theorem iSup_span {ι : Sort*} (p : ι → Set M) : ⨆ i, span R (p i) = span R (⋃ i, p i) :=
le_antisymm (iSup_le fun i => span_mono <| subset_iUnion _ i) <|
span_le.mpr <| iUnion_subset fun i _ hm => mem_iSup_of_mem i <| subset_span hm
#align submodule.supr_span Submodule.iSup_span
theorem iSup_eq_span {ι : Sort*} (p : ι → Submodule R M) : ⨆ i, p i = span R (⋃ i, ↑(p i)) := by
simp_rw [← iSup_span, span_eq]
#align submodule.supr_eq_span Submodule.iSup_eq_span
theorem iSup_toAddSubmonoid {ι : Sort*} (p : ι → Submodule R M) :
(⨆ i, p i).toAddSubmonoid = ⨆ i, (p i).toAddSubmonoid := by
refine le_antisymm (fun x => ?_) (iSup_le fun i => toAddSubmonoid_mono <| le_iSup _ i)
simp_rw [iSup_eq_span, AddSubmonoid.iSup_eq_closure, mem_toAddSubmonoid, coe_toAddSubmonoid]
intro hx
refine Submodule.span_induction hx (fun x hx => ?_) ?_ (fun x y hx hy => ?_) fun r x hx => ?_
· exact AddSubmonoid.subset_closure hx
· exact AddSubmonoid.zero_mem _
· exact AddSubmonoid.add_mem _ hx hy
· refine AddSubmonoid.closure_induction hx ?_ ?_ ?_
· rintro x ⟨_, ⟨i, rfl⟩, hix : x ∈ p i⟩
apply AddSubmonoid.subset_closure (Set.mem_iUnion.mpr ⟨i, _⟩)
exact smul_mem _ r hix
· rw [smul_zero]
exact AddSubmonoid.zero_mem _
· intro x y hx hy
rw [smul_add]
exact AddSubmonoid.add_mem _ hx hy
#align submodule.supr_to_add_submonoid Submodule.iSup_toAddSubmonoid
/-- An induction principle for elements of `⨆ i, p i`.
If `C` holds for `0` and all elements of `p i` for all `i`, and is preserved under addition,
then it holds for all elements of the supremum of `p`. -/
@[elab_as_elim]
theorem iSup_induction {ι : Sort*} (p : ι → Submodule R M) {C : M → Prop} {x : M}
(hx : x ∈ ⨆ i, p i) (hp : ∀ (i), ∀ x ∈ p i, C x) (h0 : C 0)
(hadd : ∀ x y, C x → C y → C (x + y)) : C x := by
rw [← mem_toAddSubmonoid, iSup_toAddSubmonoid] at hx
exact AddSubmonoid.iSup_induction (x := x) _ hx hp h0 hadd
#align submodule.supr_induction Submodule.iSup_induction
/-- A dependent version of `submodule.iSup_induction`. -/
@[elab_as_elim]
theorem iSup_induction' {ι : Sort*} (p : ι → Submodule R M) {C : ∀ x, (x ∈ ⨆ i, p i) → Prop}
(mem : ∀ (i) (x) (hx : x ∈ p i), C x (mem_iSup_of_mem i hx)) (zero : C 0 (zero_mem _))
(add : ∀ x y hx hy, C x hx → C y hy → C (x + y) (add_mem ‹_› ‹_›)) {x : M}
(hx : x ∈ ⨆ i, p i) : C x hx := by
refine Exists.elim ?_ fun (hx : x ∈ ⨆ i, p i) (hc : C x hx) => hc
refine iSup_induction p (C := fun x : M ↦ ∃ (hx : x ∈ ⨆ i, p i), C x hx) hx
(fun i x hx => ?_) ?_ fun x y => ?_
· exact ⟨_, mem _ _ hx⟩
· exact ⟨_, zero⟩
· rintro ⟨_, Cx⟩ ⟨_, Cy⟩
exact ⟨_, add _ _ _ _ Cx Cy⟩
#align submodule.supr_induction' Submodule.iSup_induction'
theorem singleton_span_isCompactElement (x : M) :
CompleteLattice.IsCompactElement (span R {x} : Submodule R M) := by
rw [CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le]
intro d hemp hdir hsup
have : x ∈ (sSup d) := (SetLike.le_def.mp hsup) (mem_span_singleton_self x)
obtain ⟨y, ⟨hyd, hxy⟩⟩ := (mem_sSup_of_directed hemp hdir).mp this
exact ⟨y, ⟨hyd, by simpa only [span_le, singleton_subset_iff] ⟩⟩
#align submodule.singleton_span_is_compact_element Submodule.singleton_span_isCompactElement
/-- The span of a finite subset is compact in the lattice of submodules. -/
theorem finset_span_isCompactElement (S : Finset M) :
CompleteLattice.IsCompactElement (span R S : Submodule R M) := by
rw [span_eq_iSup_of_singleton_spans]
simp only [Finset.mem_coe]
rw [← Finset.sup_eq_iSup]
exact
CompleteLattice.isCompactElement_finsetSup S fun x _ => singleton_span_isCompactElement x
#align submodule.finset_span_is_compact_element Submodule.finset_span_isCompactElement
/-- The span of a finite subset is compact in the lattice of submodules. -/
theorem finite_span_isCompactElement (S : Set M) (h : S.Finite) :
CompleteLattice.IsCompactElement (span R S : Submodule R M) :=
Finite.coe_toFinset h ▸ finset_span_isCompactElement h.toFinset
#align submodule.finite_span_is_compact_element Submodule.finite_span_isCompactElement
instance : IsCompactlyGenerated (Submodule R M) :=
⟨fun s =>
⟨(fun x => span R {x}) '' s,
⟨fun t ht => by
rcases (Set.mem_image _ _ _).1 ht with ⟨x, _, rfl⟩
apply singleton_span_isCompactElement, by
rw [sSup_eq_iSup, iSup_image, ← span_eq_iSup_of_singleton_spans, span_eq]⟩⟩⟩
/-- A submodule is equal to the supremum of the spans of the submodule's nonzero elements. -/
| Mathlib/LinearAlgebra/Span.lean | 765 | 776 | theorem submodule_eq_sSup_le_nonzero_spans (p : Submodule R M) :
p = sSup { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} } := by |
let S := { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} }
apply le_antisymm
· intro m hm
by_cases h : m = 0
· rw [h]
simp
· exact @le_sSup _ _ S _ ⟨m, ⟨hm, ⟨h, rfl⟩⟩⟩ m (mem_span_singleton_self m)
· rw [sSup_le_iff]
rintro S ⟨_, ⟨_, ⟨_, rfl⟩⟩⟩
rwa [span_singleton_le_iff_mem]
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Floris van Doorn, Heather Macbeth
-/
import Mathlib.Topology.FiberBundle.Trivialization
import Mathlib.Topology.Order.LeftRightNhds
#align_import topology.fiber_bundle.basic from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833"
/-!
# Fiber bundles
Mathematically, a (topological) fiber bundle with fiber `F` over a base `B` is a space projecting on
`B` for which the fibers are all homeomorphic to `F`, such that the local situation around each
point is a direct product.
In our formalism, a fiber bundle is by definition the type `Bundle.TotalSpace F E` where
`E : B → Type*` is a function associating to `x : B` the fiber over `x`. This type
`Bundle.TotalSpace F E` is a type of pairs `⟨proj : B, snd : E proj⟩`.
To have a fiber bundle structure on `Bundle.TotalSpace F E`, one should
additionally have the following data:
* `F` should be a topological space;
* There should be a topology on `Bundle.TotalSpace F E`, for which the projection to `B` is
a fiber bundle with fiber `F` (in particular, each fiber `E x` is homeomorphic to `F`);
* For each `x`, the fiber `E x` should be a topological space, and the injection
from `E x` to `Bundle.TotalSpace F E` should be an embedding;
* There should be a distinguished set of bundle trivializations, the "trivialization atlas"
* There should be a choice of bundle trivialization at each point, which belongs to this atlas.
If all these conditions are satisfied, we register the typeclass `FiberBundle F E`.
It is in general nontrivial to construct a fiber bundle. A way is to start from the knowledge of
how changes of local trivializations act on the fiber. From this, one can construct the total space
of the bundle and its topology by a suitable gluing construction. The main content of this file is
an implementation of this construction: starting from an object of type
`FiberBundleCore` registering the trivialization changes, one gets the corresponding
fiber bundle and projection.
Similarly we implement the object `FiberPrebundle` which allows to define a topological
fiber bundle from trivializations given as partial equivalences with minimum additional properties.
## Main definitions
### Basic definitions
* `FiberBundle F E` : Structure saying that `E : B → Type*` is a fiber bundle with fiber `F`.
### Construction of a bundle from trivializations
* `Bundle.TotalSpace F E` is the type of pairs `(proj : B, snd : E proj)`. We can use the extra
argument `F` to construct topology on the total space.
* `FiberBundleCore ι B F` : structure registering how changes of coordinates act
on the fiber `F` above open subsets of `B`, where local trivializations are indexed by `ι`.
Let `Z : FiberBundleCore ι B F`. Then we define
* `Z.Fiber x` : the fiber above `x`, homeomorphic to `F` (and defeq to `F` as a type).
* `Z.TotalSpace` : the total space of `Z`, defined as `Bundle.TotalSpace F Z.Fiber` with a custom
topology.
* `Z.proj` : projection from `Z.TotalSpace` to `B`. It is continuous.
* `Z.localTriv i` : for `i : ι`, bundle trivialization above the set `Z.baseSet i`, which is an
open set in `B`.
* `FiberPrebundle F E` : structure registering a cover of prebundle trivializations
and requiring that the relative transition maps are partial homeomorphisms.
* `FiberPrebundle.totalSpaceTopology a` : natural topology of the total space, making
the prebundle into a bundle.
## Implementation notes
### Data vs mixins
For both fiber and vector bundles, one faces a choice: should the definition state the *existence*
of local trivializations (a propositional typeclass), or specify a fixed atlas of trivializations (a
typeclass containing data)?
In their initial mathlib implementations, both fiber and vector bundles were defined
propositionally. For vector bundles, this turns out to be mathematically wrong: in infinite
dimension, the transition function between two trivializations is not automatically continuous as a
map from the base `B` to the endomorphisms `F →L[R] F` of the fiber (considered with the
operator-norm topology), and so the definition needs to be modified by restricting consideration to
a family of trivializations (constituting the data) which are all mutually-compatible in this sense.
The PRs #13052 and #13175 implemented this change.
There is still the choice about whether to hold this data at the level of fiber bundles or of vector
bundles. As of PR #17505, the data is all held in `FiberBundle`, with `VectorBundle` a
(propositional) mixin stating fiberwise-linearity.
This allows bundles to carry instances of typeclasses in which the scalar field, `R`, does not
appear as a parameter. Notably, we would like a vector bundle over `R` with fiber `F` over base `B`
to be a `ChartedSpace (B × F)`, with the trivializations providing the charts. This would be a
dangerous instance for typeclass inference, because `R` does not appear as a parameter in
`ChartedSpace (B × F)`. But if the data of the trivializations is held in `FiberBundle`, then a
fiber bundle with fiber `F` over base `B` can be a `ChartedSpace (B × F)`, and this is safe for
typeclass inference.
We expect that this choice of definition will also streamline constructions of fiber bundles with
similar underlying structure (e.g., the same bundle being both a real and complex vector bundle).
### Core construction
A fiber bundle with fiber `F` over a base `B` is a family of spaces isomorphic to `F`,
indexed by `B`, which is locally trivial in the following sense: there is a covering of `B` by open
sets such that, on each such open set `s`, the bundle is isomorphic to `s × F`.
To construct a fiber bundle formally, the main data is what happens when one changes trivializations
from `s × F` to `s' × F` on `s ∩ s'`: one should get a family of homeomorphisms of `F`, depending
continuously on the base point, satisfying basic compatibility conditions (cocycle property).
Useful classes of bundles can then be specified by requiring that these homeomorphisms of `F`
belong to some subgroup, preserving some structure (the "structure group of the bundle"): then
these structures are inherited by the fibers of the bundle.
Given such trivialization change data (encoded below in a structure called
`FiberBundleCore`), one can construct the fiber bundle. The intrinsic canonical
mathematical construction is the following.
The fiber above `x` is the disjoint union of `F` over all trivializations, modulo the gluing
identifications: one gets a fiber which is isomorphic to `F`, but non-canonically
(each choice of one of the trivializations around `x` gives such an isomorphism). Given a
trivialization over a set `s`, one gets an isomorphism between `s × F` and `proj^{-1} s`, by using
the identification corresponding to this trivialization. One chooses the topology on the bundle that
makes all of these into homeomorphisms.
For the practical implementation, it turns out to be more convenient to avoid completely the
gluing and quotienting construction above, and to declare above each `x` that the fiber is `F`,
but thinking that it corresponds to the `F` coming from the choice of one trivialization around `x`.
This has several practical advantages:
* without any work, one gets a topological space structure on the fiber. And if `F` has more
structure it is inherited for free by the fiber.
* In the case of the tangent bundle of manifolds, this implies that on vector spaces the derivative
(from `F` to `F`) and the manifold derivative (from `TangentSpace I x` to `TangentSpace I' (f x)`)
are equal.
A drawback is that some silly constructions will typecheck: in the case of the tangent bundle, one
can add two vectors in different tangent spaces (as they both are elements of `F` from the point of
view of Lean). To solve this, one could mark the tangent space as irreducible, but then one would
lose the identification of the tangent space to `F` with `F`. There is however a big advantage of
this situation: even if Lean can not check that two basepoints are defeq, it will accept the fact
that the tangent spaces are the same. For instance, if two maps `f` and `g` are locally inverse to
each other, one can express that the composition of their derivatives is the identity of
`TangentSpace I x`. One could fear issues as this composition goes from `TangentSpace I x` to
`TangentSpace I (g (f x))` (which should be the same, but should not be obvious to Lean
as it does not know that `g (f x) = x`). As these types are the same to Lean (equal to `F`), there
are in fact no dependent type difficulties here!
For this construction of a fiber bundle from a `FiberBundleCore`, we should thus
choose for each `x` one specific trivialization around it. We include this choice in the definition
of the `FiberBundleCore`, as it makes some constructions more
functorial and it is a nice way to say that the trivializations cover the whole space `B`.
With this definition, the type of the fiber bundle space constructed from the core data is
`Bundle.TotalSpace F (fun b : B ↦ F)`, but the topology is not the product one, in general.
We also take the indexing type (indexing all the trivializations) as a parameter to the fiber bundle
core: it could always be taken as a subtype of all the maps from open subsets of `B` to continuous
maps of `F`, but in practice it will sometimes be something else. For instance, on a manifold, one
will use the set of charts as a good parameterization for the trivializations of the tangent bundle.
Or for the pullback of a `FiberBundleCore`, the indexing type will be the same as
for the initial bundle.
## Tags
Fiber bundle, topological bundle, structure group
-/
variable {ι B F X : Type*} [TopologicalSpace X]
open TopologicalSpace Filter Set Bundle Topology
/-! ### General definition of fiber bundles -/
section FiberBundle
variable (F) [TopologicalSpace B] [TopologicalSpace F] (E : B → Type*)
[TopologicalSpace (TotalSpace F E)] [∀ b, TopologicalSpace (E b)]
/-- A (topological) fiber bundle with fiber `F` over a base `B` is a space projecting on `B`
for which the fibers are all homeomorphic to `F`, such that the local situation around each point
is a direct product. -/
class FiberBundle where
totalSpaceMk_inducing' : ∀ b : B, Inducing (@TotalSpace.mk B F E b)
trivializationAtlas' : Set (Trivialization F (π F E))
trivializationAt' : B → Trivialization F (π F E)
mem_baseSet_trivializationAt' : ∀ b : B, b ∈ (trivializationAt' b).baseSet
trivialization_mem_atlas' : ∀ b : B, trivializationAt' b ∈ trivializationAtlas'
#align fiber_bundle FiberBundle
namespace FiberBundle
variable [FiberBundle F E] (b : B)
theorem totalSpaceMk_inducing : Inducing (@TotalSpace.mk B F E b) := totalSpaceMk_inducing' b
/-- Atlas of a fiber bundle. -/
abbrev trivializationAtlas : Set (Trivialization F (π F E)) := trivializationAtlas'
/-- Trivialization of a fiber bundle at a point. -/
abbrev trivializationAt : Trivialization F (π F E) := trivializationAt' b
theorem mem_baseSet_trivializationAt : b ∈ (trivializationAt F E b).baseSet :=
mem_baseSet_trivializationAt' b
theorem trivialization_mem_atlas : trivializationAt F E b ∈ trivializationAtlas F E :=
trivialization_mem_atlas' b
end FiberBundle
export FiberBundle (totalSpaceMk_inducing trivializationAtlas trivializationAt
mem_baseSet_trivializationAt trivialization_mem_atlas)
variable {F E}
/-- Given a type `E` equipped with a fiber bundle structure, this is a `Prop` typeclass
for trivializations of `E`, expressing that a trivialization is in the designated atlas for the
bundle. This is needed because lemmas about the linearity of trivializations or the continuity (as
functions to `F →L[R] F`, where `F` is the model fiber) of the transition functions are only
expected to hold for trivializations in the designated atlas. -/
@[mk_iff]
class MemTrivializationAtlas [FiberBundle F E] (e : Trivialization F (π F E)) : Prop where
out : e ∈ trivializationAtlas F E
#align mem_trivialization_atlas MemTrivializationAtlas
instance [FiberBundle F E] (b : B) : MemTrivializationAtlas (trivializationAt F E b) where
out := trivialization_mem_atlas F E b
namespace FiberBundle
variable (F)
variable [FiberBundle F E]
theorem map_proj_nhds (x : TotalSpace F E) : map (π F E) (𝓝 x) = 𝓝 x.proj :=
(trivializationAt F E x.proj).map_proj_nhds <|
(trivializationAt F E x.proj).mem_source.2 <| mem_baseSet_trivializationAt F E x.proj
#align fiber_bundle.map_proj_nhds FiberBundle.map_proj_nhds
variable (E)
/-- The projection from a fiber bundle to its base is continuous. -/
@[continuity]
theorem continuous_proj : Continuous (π F E) :=
continuous_iff_continuousAt.2 fun x => (map_proj_nhds F x).le
#align fiber_bundle.continuous_proj FiberBundle.continuous_proj
/-- The projection from a fiber bundle to its base is an open map. -/
theorem isOpenMap_proj : IsOpenMap (π F E) :=
IsOpenMap.of_nhds_le fun x => (map_proj_nhds F x).ge
#align fiber_bundle.is_open_map_proj FiberBundle.isOpenMap_proj
/-- The projection from a fiber bundle with a nonempty fiber to its base is a surjective
map. -/
theorem surjective_proj [Nonempty F] : Function.Surjective (π F E) := fun b =>
let ⟨p, _, hpb⟩ :=
(trivializationAt F E b).proj_surjOn_baseSet (mem_baseSet_trivializationAt F E b)
⟨p, hpb⟩
#align fiber_bundle.surjective_proj FiberBundle.surjective_proj
/-- The projection from a fiber bundle with a nonempty fiber to its base is a quotient
map. -/
theorem quotientMap_proj [Nonempty F] : QuotientMap (π F E) :=
(isOpenMap_proj F E).to_quotientMap (continuous_proj F E) (surjective_proj F E)
#align fiber_bundle.quotient_map_proj FiberBundle.quotientMap_proj
theorem continuous_totalSpaceMk (x : B) : Continuous (@TotalSpace.mk B F E x) :=
(totalSpaceMk_inducing F E x).continuous
#align fiber_bundle.continuous_total_space_mk FiberBundle.continuous_totalSpaceMk
theorem totalSpaceMk_embedding (x : B) : Embedding (@TotalSpace.mk B F E x) :=
⟨totalSpaceMk_inducing F E x, TotalSpace.mk_injective x⟩
theorem totalSpaceMk_closedEmbedding [T1Space B] (x : B) :
ClosedEmbedding (@TotalSpace.mk B F E x) :=
⟨totalSpaceMk_embedding F E x, by
rw [TotalSpace.range_mk]
exact isClosed_singleton.preimage <| continuous_proj F E⟩
variable {E F}
@[simp, mfld_simps]
theorem mem_trivializationAt_proj_source {x : TotalSpace F E} :
x ∈ (trivializationAt F E x.proj).source :=
(Trivialization.mem_source _).mpr <| mem_baseSet_trivializationAt F E x.proj
#align fiber_bundle.mem_trivialization_at_proj_source FiberBundle.mem_trivializationAt_proj_source
-- Porting note: removed `@[simp, mfld_simps]` because `simp` could already prove this
theorem trivializationAt_proj_fst {x : TotalSpace F E} :
((trivializationAt F E x.proj) x).1 = x.proj :=
Trivialization.coe_fst' _ <| mem_baseSet_trivializationAt F E x.proj
#align fiber_bundle.trivialization_at_proj_fst FiberBundle.trivializationAt_proj_fst
variable (F)
open Trivialization
/-- Characterization of continuous functions (at a point, within a set) into a fiber bundle. -/
theorem continuousWithinAt_totalSpace (f : X → TotalSpace F E) {s : Set X} {x₀ : X} :
ContinuousWithinAt f s x₀ ↔
ContinuousWithinAt (fun x => (f x).proj) s x₀ ∧
ContinuousWithinAt (fun x => ((trivializationAt F E (f x₀).proj) (f x)).2) s x₀ :=
(trivializationAt F E (f x₀).proj).tendsto_nhds_iff mem_trivializationAt_proj_source
#align fiber_bundle.continuous_within_at_total_space FiberBundle.continuousWithinAt_totalSpace
/-- Characterization of continuous functions (at a point) into a fiber bundle. -/
theorem continuousAt_totalSpace (f : X → TotalSpace F E) {x₀ : X} :
ContinuousAt f x₀ ↔
ContinuousAt (fun x => (f x).proj) x₀ ∧
ContinuousAt (fun x => ((trivializationAt F E (f x₀).proj) (f x)).2) x₀ :=
(trivializationAt F E (f x₀).proj).tendsto_nhds_iff mem_trivializationAt_proj_source
#align fiber_bundle.continuous_at_total_space FiberBundle.continuousAt_totalSpace
end FiberBundle
variable (F E)
/-- If `E` is a fiber bundle over a conditionally complete linear order,
then it is trivial over any closed interval. -/
theorem FiberBundle.exists_trivialization_Icc_subset [ConditionallyCompleteLinearOrder B]
[OrderTopology B] [FiberBundle F E] (a b : B) :
∃ e : Trivialization F (π F E), Icc a b ⊆ e.baseSet := by
obtain ⟨ea, hea⟩ : ∃ ea : Trivialization F (π F E), a ∈ ea.baseSet :=
⟨trivializationAt F E a, mem_baseSet_trivializationAt F E a⟩
-- If `a < b`, then `[a, b] = ∅`, and the statement is trivial
cases' lt_or_le b a with hab hab
· exact ⟨ea, by simp [*]⟩
/- Let `s` be the set of points `x ∈ [a, b]` such that `E` is trivializable over `[a, x]`.
We need to show that `b ∈ s`. Let `c = Sup s`. We will show that `c ∈ s` and `c = b`. -/
set s : Set B := { x ∈ Icc a b | ∃ e : Trivialization F (π F E), Icc a x ⊆ e.baseSet }
have ha : a ∈ s := ⟨left_mem_Icc.2 hab, ea, by simp [hea]⟩
have sne : s.Nonempty := ⟨a, ha⟩
have hsb : b ∈ upperBounds s := fun x hx => hx.1.2
have sbd : BddAbove s := ⟨b, hsb⟩
set c := sSup s
have hsc : IsLUB s c := isLUB_csSup sne sbd
have hc : c ∈ Icc a b := ⟨hsc.1 ha, hsc.2 hsb⟩
obtain ⟨-, ec : Trivialization F (π F E), hec : Icc a c ⊆ ec.baseSet⟩ : c ∈ s := by
rcases hc.1.eq_or_lt with heq | hlt
· rwa [← heq]
refine ⟨hc, ?_⟩
/- In order to show that `c ∈ s`, consider a trivialization `ec` of `proj` over a neighborhood
of `c`. Its base set includes `(c', c]` for some `c' ∈ [a, c)`. -/
obtain ⟨ec, hc⟩ : ∃ ec : Trivialization F (π F E), c ∈ ec.baseSet :=
⟨trivializationAt F E c, mem_baseSet_trivializationAt F E c⟩
obtain ⟨c', hc', hc'e⟩ : ∃ c' ∈ Ico a c, Ioc c' c ⊆ ec.baseSet :=
(mem_nhdsWithin_Iic_iff_exists_mem_Ico_Ioc_subset hlt).1
(mem_nhdsWithin_of_mem_nhds <| IsOpen.mem_nhds ec.open_baseSet hc)
/- Since `c' < c = Sup s`, there exists `d ∈ s ∩ (c', c]`. Let `ead` be a trivialization of
`proj` over `[a, d]`. Then we can glue `ead` and `ec` into a trivialization over `[a, c]`. -/
obtain ⟨d, ⟨hdab, ead, had⟩, hd⟩ : ∃ d ∈ s, d ∈ Ioc c' c := hsc.exists_between hc'.2
refine ⟨ead.piecewiseLe ec d (had ⟨hdab.1, le_rfl⟩) (hc'e hd), subset_ite.2 ?_⟩
exact ⟨fun x hx => had ⟨hx.1.1, hx.2⟩, fun x hx => hc'e ⟨hd.1.trans (not_le.1 hx.2), hx.1.2⟩⟩
/- So, `c ∈ s`. Let `ec` be a trivialization of `proj` over `[a, c]`. If `c = b`, then we are
done. Otherwise we show that `proj` can be trivialized over a larger interval `[a, d]`,
`d ∈ (c, b]`, hence `c` is not an upper bound of `s`. -/
rcases hc.2.eq_or_lt with heq | hlt
· exact ⟨ec, heq ▸ hec⟩
rsuffices ⟨d, hdcb, hd⟩ : ∃ d ∈ Ioc c b, ∃ e : Trivialization F (π F E), Icc a d ⊆ e.baseSet
· exact ((hsc.1 ⟨⟨hc.1.trans hdcb.1.le, hdcb.2⟩, hd⟩).not_lt hdcb.1).elim
/- Since the base set of `ec` is open, it includes `[c, d)` (hence, `[a, d)`) for some
`d ∈ (c, b]`. -/
obtain ⟨d, hdcb, hd⟩ : ∃ d ∈ Ioc c b, Ico c d ⊆ ec.baseSet :=
(mem_nhdsWithin_Ici_iff_exists_mem_Ioc_Ico_subset hlt).1
(mem_nhdsWithin_of_mem_nhds <| IsOpen.mem_nhds ec.open_baseSet (hec ⟨hc.1, le_rfl⟩))
have had : Ico a d ⊆ ec.baseSet := Ico_subset_Icc_union_Ico.trans (union_subset hec hd)
by_cases he : Disjoint (Iio d) (Ioi c)
· /- If `(c, d) = ∅`, then let `ed` be a trivialization of `proj` over a neighborhood of `d`.
Then the disjoint union of `ec` restricted to `(-∞, d)` and `ed` restricted to `(c, ∞)` is
a trivialization over `[a, d]`. -/
obtain ⟨ed, hed⟩ : ∃ ed : Trivialization F (π F E), d ∈ ed.baseSet :=
⟨trivializationAt F E d, mem_baseSet_trivializationAt F E d⟩
refine ⟨d, hdcb,
(ec.restrOpen (Iio d) isOpen_Iio).disjointUnion (ed.restrOpen (Ioi c) isOpen_Ioi)
(he.mono inter_subset_right inter_subset_right), fun x hx => ?_⟩
rcases hx.2.eq_or_lt with (rfl | hxd)
exacts [Or.inr ⟨hed, hdcb.1⟩, Or.inl ⟨had ⟨hx.1, hxd⟩, hxd⟩]
· /- If `(c, d)` is nonempty, then take `d' ∈ (c, d)`. Since the base set of `ec` includes
`[a, d)`, it includes `[a, d'] ⊆ [a, d)` as well. -/
rw [disjoint_left] at he
push_neg at he
rcases he with ⟨d', hdd' : d' < d, hd'c⟩
exact ⟨d', ⟨hd'c, hdd'.le.trans hdcb.2⟩, ec, (Icc_subset_Ico_right hdd').trans had⟩
#align fiber_bundle.exists_trivialization_Icc_subset FiberBundle.exists_trivialization_Icc_subset
end FiberBundle
/-! ### Core construction for constructing fiber bundles -/
/-- Core data defining a locally trivial bundle with fiber `F` over a topological
space `B`. Note that "bundle" is used in its mathematical sense. This is the (computer science)
bundled version, i.e., all the relevant data is contained in the following structure. A family of
local trivializations is indexed by a type `ι`, on open subsets `baseSet i` for each `i : ι`.
Trivialization changes from `i` to `j` are given by continuous maps `coordChange i j` from
`baseSet i ∩ baseSet j` to the set of homeomorphisms of `F`, but we express them as maps
`B → F → F` and require continuity on `(baseSet i ∩ baseSet j) × F` to avoid the topology on the
space of continuous maps on `F`. -/
-- Porting note(#5171): was @[nolint has_nonempty_instance]
structure FiberBundleCore (ι : Type*) (B : Type*) [TopologicalSpace B] (F : Type*)
[TopologicalSpace F] where
baseSet : ι → Set B
isOpen_baseSet : ∀ i, IsOpen (baseSet i)
indexAt : B → ι
mem_baseSet_at : ∀ x, x ∈ baseSet (indexAt x)
coordChange : ι → ι → B → F → F
coordChange_self : ∀ i, ∀ x ∈ baseSet i, ∀ v, coordChange i i x v = v
continuousOn_coordChange : ∀ i j,
ContinuousOn (fun p : B × F => coordChange i j p.1 p.2) ((baseSet i ∩ baseSet j) ×ˢ univ)
coordChange_comp : ∀ i j k, ∀ x ∈ baseSet i ∩ baseSet j ∩ baseSet k, ∀ v,
(coordChange j k x) (coordChange i j x v) = coordChange i k x v
#align fiber_bundle_core FiberBundleCore
namespace FiberBundleCore
variable [TopologicalSpace B] [TopologicalSpace F] (Z : FiberBundleCore ι B F)
/-- The index set of a fiber bundle core, as a convenience function for dot notation -/
@[nolint unusedArguments] -- Porting note(#5171): was has_nonempty_instance
def Index (_Z : FiberBundleCore ι B F) := ι
#align fiber_bundle_core.index FiberBundleCore.Index
/-- The base space of a fiber bundle core, as a convenience function for dot notation -/
@[nolint unusedArguments, reducible]
def Base (_Z : FiberBundleCore ι B F) := B
#align fiber_bundle_core.base FiberBundleCore.Base
/-- The fiber of a fiber bundle core, as a convenience function for dot notation and
typeclass inference -/
@[nolint unusedArguments] -- Porting note(#5171): was has_nonempty_instance
def Fiber (_ : FiberBundleCore ι B F) (_x : B) := F
#align fiber_bundle_core.fiber FiberBundleCore.Fiber
instance topologicalSpaceFiber (x : B) : TopologicalSpace (Z.Fiber x) := ‹_›
#align fiber_bundle_core.topological_space_fiber FiberBundleCore.topologicalSpaceFiber
/-- The total space of the fiber bundle, as a convenience function for dot notation.
It is by definition equal to `Bundle.TotalSpace F Z.Fiber`. -/
abbrev TotalSpace := Bundle.TotalSpace F Z.Fiber
#align fiber_bundle_core.total_space FiberBundleCore.TotalSpace
/-- The projection from the total space of a fiber bundle core, on its base. -/
@[reducible, simp, mfld_simps]
def proj : Z.TotalSpace → B :=
Bundle.TotalSpace.proj
#align fiber_bundle_core.proj FiberBundleCore.proj
/-- Local homeomorphism version of the trivialization change. -/
def trivChange (i j : ι) : PartialHomeomorph (B × F) (B × F) where
source := (Z.baseSet i ∩ Z.baseSet j) ×ˢ univ
target := (Z.baseSet i ∩ Z.baseSet j) ×ˢ univ
toFun p := ⟨p.1, Z.coordChange i j p.1 p.2⟩
invFun p := ⟨p.1, Z.coordChange j i p.1 p.2⟩
map_source' p hp := by simpa using hp
map_target' p hp := by simpa using hp
left_inv' := by
rintro ⟨x, v⟩ hx
simp only [prod_mk_mem_set_prod_eq, mem_inter_iff, and_true, mem_univ] at hx
dsimp only
rw [coordChange_comp, Z.coordChange_self]
exacts [hx.1, ⟨⟨hx.1, hx.2⟩, hx.1⟩]
right_inv' := by
rintro ⟨x, v⟩ hx
simp only [prod_mk_mem_set_prod_eq, mem_inter_iff, and_true_iff, mem_univ] at hx
dsimp only
rw [Z.coordChange_comp, Z.coordChange_self]
· exact hx.2
· simp [hx]
open_source := ((Z.isOpen_baseSet i).inter (Z.isOpen_baseSet j)).prod isOpen_univ
open_target := ((Z.isOpen_baseSet i).inter (Z.isOpen_baseSet j)).prod isOpen_univ
continuousOn_toFun := continuous_fst.continuousOn.prod (Z.continuousOn_coordChange i j)
continuousOn_invFun := by
simpa [inter_comm] using continuous_fst.continuousOn.prod (Z.continuousOn_coordChange j i)
#align fiber_bundle_core.triv_change FiberBundleCore.trivChange
@[simp, mfld_simps]
theorem mem_trivChange_source (i j : ι) (p : B × F) :
p ∈ (Z.trivChange i j).source ↔ p.1 ∈ Z.baseSet i ∩ Z.baseSet j := by
erw [mem_prod]
simp
#align fiber_bundle_core.mem_triv_change_source FiberBundleCore.mem_trivChange_source
/-- Associate to a trivialization index `i : ι` the corresponding trivialization, i.e., a bijection
between `proj ⁻¹ (baseSet i)` and `baseSet i × F`. As the fiber above `x` is `F` but read in the
chart with index `index_at x`, the trivialization in the fiber above x is by definition the
coordinate change from i to `index_at x`, so it depends on `x`.
The local trivialization will ultimately be a partial homeomorphism. For now, we only introduce the
partial equivalence version, denoted with a prime.
In further developments, avoid this auxiliary version, and use `Z.local_triv` instead. -/
def localTrivAsPartialEquiv (i : ι) : PartialEquiv Z.TotalSpace (B × F) where
source := Z.proj ⁻¹' Z.baseSet i
target := Z.baseSet i ×ˢ univ
invFun p := ⟨p.1, Z.coordChange i (Z.indexAt p.1) p.1 p.2⟩
toFun p := ⟨p.1, Z.coordChange (Z.indexAt p.1) i p.1 p.2⟩
map_source' p hp := by
simpa only [Set.mem_preimage, and_true_iff, Set.mem_univ, Set.prod_mk_mem_set_prod_eq] using hp
map_target' p hp := by
simpa only [Set.mem_preimage, and_true_iff, Set.mem_univ, Set.mem_prod] using hp
left_inv' := by
rintro ⟨x, v⟩ hx
replace hx : x ∈ Z.baseSet i := hx
dsimp only
rw [Z.coordChange_comp, Z.coordChange_self] <;> apply_rules [mem_baseSet_at, mem_inter]
right_inv' := by
rintro ⟨x, v⟩ hx
simp only [prod_mk_mem_set_prod_eq, and_true_iff, mem_univ] at hx
dsimp only
rw [Z.coordChange_comp, Z.coordChange_self]
exacts [hx, ⟨⟨hx, Z.mem_baseSet_at _⟩, hx⟩]
#align fiber_bundle_core.local_triv_as_local_equiv FiberBundleCore.localTrivAsPartialEquiv
variable (i : ι)
theorem mem_localTrivAsPartialEquiv_source (p : Z.TotalSpace) :
p ∈ (Z.localTrivAsPartialEquiv i).source ↔ p.1 ∈ Z.baseSet i :=
Iff.rfl
#align fiber_bundle_core.mem_local_triv_as_local_equiv_source FiberBundleCore.mem_localTrivAsPartialEquiv_source
theorem mem_localTrivAsPartialEquiv_target (p : B × F) :
p ∈ (Z.localTrivAsPartialEquiv i).target ↔ p.1 ∈ Z.baseSet i := by
erw [mem_prod]
simp only [and_true_iff, mem_univ]
#align fiber_bundle_core.mem_local_triv_as_local_equiv_target FiberBundleCore.mem_localTrivAsPartialEquiv_target
theorem localTrivAsPartialEquiv_apply (p : Z.TotalSpace) :
(Z.localTrivAsPartialEquiv i) p = ⟨p.1, Z.coordChange (Z.indexAt p.1) i p.1 p.2⟩ :=
rfl
#align fiber_bundle_core.local_triv_as_local_equiv_apply FiberBundleCore.localTrivAsPartialEquiv_apply
/-- The composition of two local trivializations is the trivialization change Z.triv_change i j. -/
theorem localTrivAsPartialEquiv_trans (i j : ι) :
(Z.localTrivAsPartialEquiv i).symm.trans (Z.localTrivAsPartialEquiv j) ≈
(Z.trivChange i j).toPartialEquiv := by
constructor
· ext x
simp only [mem_localTrivAsPartialEquiv_target, mfld_simps]
rfl
· rintro ⟨x, v⟩ hx
simp only [trivChange, localTrivAsPartialEquiv, PartialEquiv.symm, true_and_iff,
Prod.mk.inj_iff, prod_mk_mem_set_prod_eq, PartialEquiv.trans_source, mem_inter_iff,
and_true_iff, mem_preimage, proj, mem_univ, eq_self_iff_true, (· ∘ ·),
PartialEquiv.coe_trans, TotalSpace.proj] at hx ⊢
simp only [Z.coordChange_comp, hx, mem_inter_iff, and_self_iff, mem_baseSet_at]
#align fiber_bundle_core.local_triv_as_local_equiv_trans FiberBundleCore.localTrivAsPartialEquiv_trans
/-- Topological structure on the total space of a fiber bundle created from core, designed so
that all the local trivialization are continuous. -/
instance toTopologicalSpace : TopologicalSpace (Bundle.TotalSpace F Z.Fiber) :=
TopologicalSpace.generateFrom <| ⋃ (i : ι) (s : Set (B × F)) (_ : IsOpen s),
{(Z.localTrivAsPartialEquiv i).source ∩ Z.localTrivAsPartialEquiv i ⁻¹' s}
#align fiber_bundle_core.to_topological_space FiberBundleCore.toTopologicalSpace
variable (b : B) (a : F)
theorem open_source' (i : ι) : IsOpen (Z.localTrivAsPartialEquiv i).source := by
apply TopologicalSpace.GenerateOpen.basic
simp only [exists_prop, mem_iUnion, mem_singleton_iff]
refine ⟨i, Z.baseSet i ×ˢ univ, (Z.isOpen_baseSet i).prod isOpen_univ, ?_⟩
ext p
simp only [localTrivAsPartialEquiv_apply, prod_mk_mem_set_prod_eq, mem_inter_iff, and_self_iff,
mem_localTrivAsPartialEquiv_source, and_true, mem_univ, mem_preimage]
#align fiber_bundle_core.open_source' FiberBundleCore.open_source'
/-- Extended version of the local trivialization of a fiber bundle constructed from core,
registering additionally in its type that it is a local bundle trivialization. -/
def localTriv (i : ι) : Trivialization F Z.proj where
baseSet := Z.baseSet i
open_baseSet := Z.isOpen_baseSet i
source_eq := rfl
target_eq := rfl
proj_toFun p _ := by
simp only [mfld_simps]
rfl
open_source := Z.open_source' i
open_target := (Z.isOpen_baseSet i).prod isOpen_univ
continuousOn_toFun := by
rw [continuousOn_open_iff (Z.open_source' i)]
intro s s_open
apply TopologicalSpace.GenerateOpen.basic
simp only [exists_prop, mem_iUnion, mem_singleton_iff]
exact ⟨i, s, s_open, rfl⟩
continuousOn_invFun := by
refine continuousOn_isOpen_of_generateFrom fun t ht ↦ ?_
simp only [exists_prop, mem_iUnion, mem_singleton_iff] at ht
obtain ⟨j, s, s_open, ts⟩ : ∃ j s, IsOpen s ∧
t = (localTrivAsPartialEquiv Z j).source ∩ localTrivAsPartialEquiv Z j ⁻¹' s := ht
rw [ts]
simp only [PartialEquiv.right_inv, preimage_inter, PartialEquiv.left_inv]
let e := Z.localTrivAsPartialEquiv i
let e' := Z.localTrivAsPartialEquiv j
let f := e.symm.trans e'
have : IsOpen (f.source ∩ f ⁻¹' s) := by
rw [PartialEquiv.EqOnSource.source_inter_preimage_eq (Z.localTrivAsPartialEquiv_trans i j)]
exact (continuousOn_open_iff (Z.trivChange i j).open_source).1
(Z.trivChange i j).continuousOn _ s_open
convert this using 1
dsimp [f, PartialEquiv.trans_source]
rw [← preimage_comp, inter_assoc]
toPartialEquiv := Z.localTrivAsPartialEquiv i
#align fiber_bundle_core.local_triv FiberBundleCore.localTriv
/-- Preferred local trivialization of a fiber bundle constructed from core, at a given point, as
a bundle trivialization -/
def localTrivAt (b : B) : Trivialization F (π F Z.Fiber) :=
Z.localTriv (Z.indexAt b)
#align fiber_bundle_core.local_triv_at FiberBundleCore.localTrivAt
@[simp, mfld_simps]
theorem localTrivAt_def (b : B) : Z.localTriv (Z.indexAt b) = Z.localTrivAt b :=
rfl
#align fiber_bundle_core.local_triv_at_def FiberBundleCore.localTrivAt_def
theorem localTrivAt_snd (b : B) (p) :
(Z.localTrivAt b p).2 = Z.coordChange (Z.indexAt p.1) (Z.indexAt b) p.1 p.2 :=
rfl
/-- If an element of `F` is invariant under all coordinate changes, then one can define a
corresponding section of the fiber bundle, which is continuous. This applies in particular to the
zero section of a vector bundle. Another example (not yet defined) would be the identity
section of the endomorphism bundle of a vector bundle. -/
theorem continuous_const_section (v : F)
(h : ∀ i j, ∀ x ∈ Z.baseSet i ∩ Z.baseSet j, Z.coordChange i j x v = v) :
Continuous (show B → Z.TotalSpace from fun x => ⟨x, v⟩) := by
refine continuous_iff_continuousAt.2 fun x => ?_
have A : Z.baseSet (Z.indexAt x) ∈ 𝓝 x :=
IsOpen.mem_nhds (Z.isOpen_baseSet (Z.indexAt x)) (Z.mem_baseSet_at x)
refine ((Z.localTrivAt x).toPartialHomeomorph.continuousAt_iff_continuousAt_comp_left ?_).2 ?_
· exact A
· apply continuousAt_id.prod
simp only [(· ∘ ·), mfld_simps, localTrivAt_snd]
have : ContinuousOn (fun _ : B => v) (Z.baseSet (Z.indexAt x)) := continuousOn_const
refine (this.congr fun y hy ↦ ?_).continuousAt A
exact h _ _ _ ⟨mem_baseSet_at _ _, hy⟩
#align fiber_bundle_core.continuous_const_section FiberBundleCore.continuous_const_section
@[simp, mfld_simps]
theorem localTrivAsPartialEquiv_coe : ⇑(Z.localTrivAsPartialEquiv i) = Z.localTriv i :=
rfl
#align fiber_bundle_core.local_triv_as_local_equiv_coe FiberBundleCore.localTrivAsPartialEquiv_coe
@[simp, mfld_simps]
theorem localTrivAsPartialEquiv_source :
(Z.localTrivAsPartialEquiv i).source = (Z.localTriv i).source :=
rfl
#align fiber_bundle_core.local_triv_as_local_equiv_source FiberBundleCore.localTrivAsPartialEquiv_source
@[simp, mfld_simps]
theorem localTrivAsPartialEquiv_target :
(Z.localTrivAsPartialEquiv i).target = (Z.localTriv i).target :=
rfl
#align fiber_bundle_core.local_triv_as_local_equiv_target FiberBundleCore.localTrivAsPartialEquiv_target
@[simp, mfld_simps]
theorem localTrivAsPartialEquiv_symm :
(Z.localTrivAsPartialEquiv i).symm = (Z.localTriv i).toPartialEquiv.symm :=
rfl
#align fiber_bundle_core.local_triv_as_local_equiv_symm FiberBundleCore.localTrivAsPartialEquiv_symm
@[simp, mfld_simps]
theorem baseSet_at : Z.baseSet i = (Z.localTriv i).baseSet :=
rfl
#align fiber_bundle_core.base_set_at FiberBundleCore.baseSet_at
@[simp, mfld_simps]
theorem localTriv_apply (p : Z.TotalSpace) :
(Z.localTriv i) p = ⟨p.1, Z.coordChange (Z.indexAt p.1) i p.1 p.2⟩ :=
rfl
#align fiber_bundle_core.local_triv_apply FiberBundleCore.localTriv_apply
@[simp, mfld_simps]
theorem localTrivAt_apply (p : Z.TotalSpace) : (Z.localTrivAt p.1) p = ⟨p.1, p.2⟩ := by
rw [localTrivAt, localTriv_apply, coordChange_self]
exact Z.mem_baseSet_at p.1
#align fiber_bundle_core.local_triv_at_apply FiberBundleCore.localTrivAt_apply
@[simp, mfld_simps]
theorem localTrivAt_apply_mk (b : B) (a : F) : (Z.localTrivAt b) ⟨b, a⟩ = ⟨b, a⟩ :=
Z.localTrivAt_apply _
#align fiber_bundle_core.local_triv_at_apply_mk FiberBundleCore.localTrivAt_apply_mk
@[simp, mfld_simps]
theorem mem_localTriv_source (p : Z.TotalSpace) :
p ∈ (Z.localTriv i).source ↔ p.1 ∈ (Z.localTriv i).baseSet :=
Iff.rfl
#align fiber_bundle_core.mem_local_triv_source FiberBundleCore.mem_localTriv_source
@[simp, mfld_simps]
theorem mem_localTrivAt_source (p : Z.TotalSpace) (b : B) :
p ∈ (Z.localTrivAt b).source ↔ p.1 ∈ (Z.localTrivAt b).baseSet :=
Iff.rfl
#align fiber_bundle_core.mem_local_triv_at_source FiberBundleCore.mem_localTrivAt_source
@[simp, mfld_simps]
theorem mem_localTriv_target (p : B × F) :
p ∈ (Z.localTriv i).target ↔ p.1 ∈ (Z.localTriv i).baseSet :=
Trivialization.mem_target _
#align fiber_bundle_core.mem_local_triv_target FiberBundleCore.mem_localTriv_target
@[simp, mfld_simps]
theorem mem_localTrivAt_target (p : B × F) (b : B) :
p ∈ (Z.localTrivAt b).target ↔ p.1 ∈ (Z.localTrivAt b).baseSet :=
Trivialization.mem_target _
#align fiber_bundle_core.mem_local_triv_at_target FiberBundleCore.mem_localTrivAt_target
@[simp, mfld_simps]
theorem localTriv_symm_apply (p : B × F) :
(Z.localTriv i).toPartialHomeomorph.symm p = ⟨p.1, Z.coordChange i (Z.indexAt p.1) p.1 p.2⟩ :=
rfl
#align fiber_bundle_core.local_triv_symm_apply FiberBundleCore.localTriv_symm_apply
@[simp, mfld_simps]
theorem mem_localTrivAt_baseSet (b : B) : b ∈ (Z.localTrivAt b).baseSet := by
rw [localTrivAt, ← baseSet_at]
exact Z.mem_baseSet_at b
#align fiber_bundle_core.mem_local_triv_at_base_set FiberBundleCore.mem_localTrivAt_baseSet
-- Porting note (#10618): was @[simp, mfld_simps], now `simp` can prove it
theorem mk_mem_localTrivAt_source : (⟨b, a⟩ : Z.TotalSpace) ∈ (Z.localTrivAt b).source := by
simp only [mfld_simps]
#align fiber_bundle_core.mem_source_at FiberBundleCore.mem_localTrivAt_source
/-- A fiber bundle constructed from core is indeed a fiber bundle. -/
instance fiberBundle : FiberBundle F Z.Fiber where
totalSpaceMk_inducing' b := inducing_iff_nhds.2 fun x ↦ by
rw [(Z.localTrivAt b).nhds_eq_comap_inf_principal (mk_mem_localTrivAt_source _ _ _), comap_inf,
comap_principal, comap_comap]
simp only [(· ∘ ·), localTrivAt_apply_mk, Trivialization.coe_coe,
← (embedding_prod_mk b).nhds_eq_comap]
convert_to 𝓝 x = 𝓝 x ⊓ 𝓟 univ
· congr
exact eq_univ_of_forall (mk_mem_localTrivAt_source Z _)
· rw [principal_univ, inf_top_eq]
trivializationAtlas' := Set.range Z.localTriv
trivializationAt' := Z.localTrivAt
mem_baseSet_trivializationAt' := Z.mem_baseSet_at
trivialization_mem_atlas' b := ⟨Z.indexAt b, rfl⟩
#align fiber_bundle_core.fiber_bundle FiberBundleCore.fiberBundle
/-- The inclusion of a fiber into the total space is a continuous map. -/
@[continuity]
theorem continuous_totalSpaceMk (b : B) :
Continuous (TotalSpace.mk b : Z.Fiber b → Bundle.TotalSpace F Z.Fiber) :=
FiberBundle.continuous_totalSpaceMk F Z.Fiber b
#align fiber_bundle_core.continuous_total_space_mk FiberBundleCore.continuous_totalSpaceMk
/-- The projection on the base of a fiber bundle created from core is continuous -/
nonrec theorem continuous_proj : Continuous Z.proj :=
FiberBundle.continuous_proj F Z.Fiber
#align fiber_bundle_core.continuous_proj FiberBundleCore.continuous_proj
/-- The projection on the base of a fiber bundle created from core is an open map -/
nonrec theorem isOpenMap_proj : IsOpenMap Z.proj :=
FiberBundle.isOpenMap_proj F Z.Fiber
#align fiber_bundle_core.is_open_map_proj FiberBundleCore.isOpenMap_proj
end FiberBundleCore
/-! ### Prebundle construction for constructing fiber bundles -/
variable (F) (E : B → Type*) [TopologicalSpace B] [TopologicalSpace F]
[∀ x, TopologicalSpace (E x)]
/-- This structure permits to define a fiber bundle when trivializations are given as local
equivalences but there is not yet a topology on the total space. The total space is hence given a
topology in such a way that there is a fiber bundle structure for which the partial equivalences
are also partial homeomorphisms and hence local trivializations. -/
-- Porting note (#5171): was @[nolint has_nonempty_instance]
structure FiberPrebundle where
pretrivializationAtlas : Set (Pretrivialization F (π F E))
pretrivializationAt : B → Pretrivialization F (π F E)
mem_base_pretrivializationAt : ∀ x : B, x ∈ (pretrivializationAt x).baseSet
pretrivialization_mem_atlas : ∀ x : B, pretrivializationAt x ∈ pretrivializationAtlas
continuous_trivChange : ∀ e, e ∈ pretrivializationAtlas → ∀ e', e' ∈ pretrivializationAtlas →
ContinuousOn (e ∘ e'.toPartialEquiv.symm) (e'.target ∩ e'.toPartialEquiv.symm ⁻¹' e.source)
totalSpaceMk_inducing : ∀ b : B, Inducing (pretrivializationAt b ∘ TotalSpace.mk b)
#align fiber_prebundle FiberPrebundle
namespace FiberPrebundle
variable {F E}
variable (a : FiberPrebundle F E) {e : Pretrivialization F (π F E)}
/-- Topology on the total space that will make the prebundle into a bundle. -/
def totalSpaceTopology (a : FiberPrebundle F E) : TopologicalSpace (TotalSpace F E) :=
⨆ (e : Pretrivialization F (π F E)) (_ : e ∈ a.pretrivializationAtlas),
coinduced e.setSymm instTopologicalSpaceSubtype
#align fiber_prebundle.total_space_topology FiberPrebundle.totalSpaceTopology
theorem continuous_symm_of_mem_pretrivializationAtlas (he : e ∈ a.pretrivializationAtlas) :
@ContinuousOn _ _ _ a.totalSpaceTopology e.toPartialEquiv.symm e.target := by
refine fun z H U h => preimage_nhdsWithin_coinduced' H (le_def.1 (nhds_mono ?_) U h)
exact le_iSup₂ (α := TopologicalSpace (TotalSpace F E)) e he
#align fiber_prebundle.continuous_symm_of_mem_pretrivialization_atlas FiberPrebundle.continuous_symm_of_mem_pretrivializationAtlas
theorem isOpen_source (e : Pretrivialization F (π F E)) :
IsOpen[a.totalSpaceTopology] e.source := by
refine isOpen_iSup_iff.mpr fun e' => isOpen_iSup_iff.mpr fun _ => ?_
refine isOpen_coinduced.mpr (isOpen_induced_iff.mpr ⟨e.target, e.open_target, ?_⟩)
ext ⟨x, hx⟩
simp only [mem_preimage, Pretrivialization.setSymm, restrict, e.mem_target, e.mem_source,
e'.proj_symm_apply hx]
#align fiber_prebundle.is_open_source FiberPrebundle.isOpen_source
theorem isOpen_target_of_mem_pretrivializationAtlas_inter (e e' : Pretrivialization F (π F E))
(he' : e' ∈ a.pretrivializationAtlas) :
IsOpen (e'.toPartialEquiv.target ∩ e'.toPartialEquiv.symm ⁻¹' e.source) := by
letI := a.totalSpaceTopology
obtain ⟨u, hu1, hu2⟩ := continuousOn_iff'.mp (a.continuous_symm_of_mem_pretrivializationAtlas he')
e.source (a.isOpen_source e)
rw [inter_comm, hu2]
exact hu1.inter e'.open_target
#align fiber_prebundle.is_open_target_of_mem_pretrivialization_atlas_inter FiberPrebundle.isOpen_target_of_mem_pretrivializationAtlas_inter
/-- Promotion from a `Pretrivialization` to a `Trivialization`. -/
def trivializationOfMemPretrivializationAtlas (he : e ∈ a.pretrivializationAtlas) :
@Trivialization B F _ _ _ a.totalSpaceTopology (π F E) :=
let _ := a.totalSpaceTopology
{ e with
open_source := a.isOpen_source e,
continuousOn_toFun := by
refine continuousOn_iff'.mpr fun s hs => ⟨e ⁻¹' s ∩ e.source,
isOpen_iSup_iff.mpr fun e' => ?_, by rw [inter_assoc, inter_self]; rfl⟩
refine isOpen_iSup_iff.mpr fun he' => ?_
rw [isOpen_coinduced, isOpen_induced_iff]
obtain ⟨u, hu1, hu2⟩ := continuousOn_iff'.mp (a.continuous_trivChange _ he _ he') s hs
have hu3 := congr_arg (fun s => (fun x : e'.target => (x : B × F)) ⁻¹' s) hu2
simp only [Subtype.coe_preimage_self, preimage_inter, univ_inter] at hu3
refine ⟨u ∩ e'.toPartialEquiv.target ∩ e'.toPartialEquiv.symm ⁻¹' e.source, ?_, by
simp only [preimage_inter, inter_univ, Subtype.coe_preimage_self, hu3.symm]; rfl⟩
rw [inter_assoc]
exact hu1.inter (a.isOpen_target_of_mem_pretrivializationAtlas_inter e e' he')
continuousOn_invFun := a.continuous_symm_of_mem_pretrivializationAtlas he }
#align fiber_prebundle.trivialization_of_mem_pretrivialization_atlas FiberPrebundle.trivializationOfMemPretrivializationAtlas
theorem mem_pretrivializationAt_source (b : B) (x : E b) :
⟨b, x⟩ ∈ (a.pretrivializationAt b).source := by
simp only [(a.pretrivializationAt b).source_eq, mem_preimage, TotalSpace.proj]
exact a.mem_base_pretrivializationAt b
#align fiber_prebundle.mem_trivialization_at_source FiberPrebundle.mem_pretrivializationAt_source
@[simp]
theorem totalSpaceMk_preimage_source (b : B) :
TotalSpace.mk b ⁻¹' (a.pretrivializationAt b).source = univ :=
eq_univ_of_forall (a.mem_pretrivializationAt_source b)
#align fiber_prebundle.total_space_mk_preimage_source FiberPrebundle.totalSpaceMk_preimage_source
@[continuity]
theorem continuous_totalSpaceMk (b : B) :
Continuous[_, a.totalSpaceTopology] (TotalSpace.mk b) := by
letI := a.totalSpaceTopology
let e := a.trivializationOfMemPretrivializationAtlas (a.pretrivialization_mem_atlas b)
rw [e.toPartialHomeomorph.continuous_iff_continuous_comp_left
(a.totalSpaceMk_preimage_source b)]
exact continuous_iff_le_induced.mpr (le_antisymm_iff.mp (a.totalSpaceMk_inducing b).induced).1
#align fiber_prebundle.continuous_total_space_mk FiberPrebundle.continuous_totalSpaceMk
theorem inducing_totalSpaceMk_of_inducing_comp (b : B)
(h : Inducing (a.pretrivializationAt b ∘ TotalSpace.mk b)) :
@Inducing _ _ _ a.totalSpaceTopology (TotalSpace.mk b) := by
letI := a.totalSpaceTopology
rw [← restrict_comp_codRestrict (a.mem_pretrivializationAt_source b)] at h
apply Inducing.of_codRestrict (a.mem_pretrivializationAt_source b)
refine inducing_of_inducing_compose ?_ (continuousOn_iff_continuous_restrict.mp
(a.trivializationOfMemPretrivializationAtlas
(a.pretrivialization_mem_atlas b)).continuousOn_toFun) h
exact (a.continuous_totalSpaceMk b).codRestrict (a.mem_pretrivializationAt_source b)
#align fiber_prebundle.inducing_total_space_mk_of_inducing_comp FiberPrebundle.inducing_totalSpaceMk_of_inducing_comp
/-- Make a `FiberBundle` from a `FiberPrebundle`. Concretely this means
that, given a `FiberPrebundle` structure for a sigma-type `E` -- which consists of a
number of "pretrivializations" identifying parts of `E` with product spaces `U × F` -- one
establishes that for the topology constructed on the sigma-type using
`FiberPrebundle.totalSpaceTopology`, these "pretrivializations" are actually
"trivializations" (i.e., homeomorphisms with respect to the constructed topology). -/
def toFiberBundle : @FiberBundle B F _ _ E a.totalSpaceTopology _ :=
let _ := a.totalSpaceTopology
{ totalSpaceMk_inducing' := fun b ↦ a.inducing_totalSpaceMk_of_inducing_comp b
(a.totalSpaceMk_inducing b)
trivializationAtlas' :=
{ e | ∃ (e₀ : _) (he₀ : e₀ ∈ a.pretrivializationAtlas),
e = a.trivializationOfMemPretrivializationAtlas he₀ },
trivializationAt' := fun x ↦
a.trivializationOfMemPretrivializationAtlas (a.pretrivialization_mem_atlas x),
mem_baseSet_trivializationAt' := a.mem_base_pretrivializationAt
trivialization_mem_atlas' := fun x ↦ ⟨_, a.pretrivialization_mem_atlas x, rfl⟩ }
#align fiber_prebundle.to_fiber_bundle FiberPrebundle.toFiberBundle
| Mathlib/Topology/FiberBundle/Basic.lean | 885 | 888 | theorem continuous_proj : @Continuous _ _ a.totalSpaceTopology _ (π F E) := by |
letI := a.totalSpaceTopology
letI := a.toFiberBundle
exact FiberBundle.continuous_proj F E
|
/-
Copyright (c) 2021 Heather Macbeth. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Heather Macbeth
-/
import Mathlib.Analysis.MeanInequalities
import Mathlib.Analysis.MeanInequalitiesPow
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity
import Mathlib.Data.Set.Image
import Mathlib.Topology.Algebra.Order.LiminfLimsup
#align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4"
/-!
# ℓp space
This file describes properties of elements `f` of a pi-type `∀ i, E i` with finite "norm",
defined for `p : ℝ≥0∞` as the size of the support of `f` if `p=0`, `(∑' a, ‖f a‖^p) ^ (1/p)` for
`0 < p < ∞` and `⨆ a, ‖f a‖` for `p=∞`.
The Prop-valued `Memℓp f p` states that a function `f : ∀ i, E i` has finite norm according
to the above definition; that is, `f` has finite support if `p = 0`, `Summable (fun a ↦ ‖f a‖^p)` if
`0 < p < ∞`, and `BddAbove (norm '' (Set.range f))` if `p = ∞`.
The space `lp E p` is the subtype of elements of `∀ i : α, E i` which satisfy `Memℓp f p`. For
`1 ≤ p`, the "norm" is genuinely a norm and `lp` is a complete metric space.
## Main definitions
* `Memℓp f p` : property that the function `f` satisfies, as appropriate, `f` finitely supported
if `p = 0`, `Summable (fun a ↦ ‖f a‖^p)` if `0 < p < ∞`, and `BddAbove (norm '' (Set.range f))` if
`p = ∞`.
* `lp E p` : elements of `∀ i : α, E i` such that `Memℓp f p`. Defined as an `AddSubgroup` of
a type synonym `PreLp` for `∀ i : α, E i`, and equipped with a `NormedAddCommGroup` structure.
Under appropriate conditions, this is also equipped with the instances `lp.normedSpace`,
`lp.completeSpace`. For `p=∞`, there is also `lp.inftyNormedRing`,
`lp.inftyNormedAlgebra`, `lp.inftyStarRing` and `lp.inftyCstarRing`.
## Main results
* `Memℓp.of_exponent_ge`: For `q ≤ p`, a function which is `Memℓp` for `q` is also `Memℓp` for `p`.
* `lp.memℓp_of_tendsto`, `lp.norm_le_of_tendsto`: A pointwise limit of functions in `lp`, all with
`lp` norm `≤ C`, is itself in `lp` and has `lp` norm `≤ C`.
* `lp.tsum_mul_le_mul_norm`: basic form of Hölder's inequality
## Implementation
Since `lp` is defined as an `AddSubgroup`, dot notation does not work. Use `lp.norm_neg f` to
say that `‖-f‖ = ‖f‖`, instead of the non-working `f.norm_neg`.
## TODO
* More versions of Hölder's inequality (for example: the case `p = 1`, `q = ∞`; a version for normed
rings which has `‖∑' i, f i * g i‖` rather than `∑' i, ‖f i‖ * g i‖` on the RHS; a version for
three exponents satisfying `1 / r = 1 / p + 1 / q`)
-/
noncomputable section
open scoped NNReal ENNReal Function
variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)]
/-!
### `Memℓp` predicate
-/
/-- The property that `f : ∀ i : α, E i`
* is finitely supported, if `p = 0`, or
* admits an upper bound for `Set.range (fun i ↦ ‖f i‖)`, if `p = ∞`, or
* has the series `∑' i, ‖f i‖ ^ p` be summable, if `0 < p < ∞`. -/
def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop :=
if p = 0 then Set.Finite { i | f i ≠ 0 }
else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖)
else Summable fun i => ‖f i‖ ^ p.toReal
#align mem_ℓp Memℓp
theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by
dsimp [Memℓp]
rw [if_pos rfl]
#align mem_ℓp_zero_iff memℓp_zero_iff
theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 :=
memℓp_zero_iff.2 hf
#align mem_ℓp_zero memℓp_zero
theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by
dsimp [Memℓp]
rw [if_neg ENNReal.top_ne_zero, if_pos rfl]
#align mem_ℓp_infty_iff memℓp_infty_iff
theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ :=
memℓp_infty_iff.2 hf
#align mem_ℓp_infty memℓp_infty
theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} :
Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by
rw [ENNReal.toReal_pos_iff] at hp
dsimp [Memℓp]
rw [if_neg hp.1.ne', if_neg hp.2.ne]
#align mem_ℓp_gen_iff memℓp_gen_iff
theorem memℓp_gen {f : ∀ i, E i} (hf : Summable fun i => ‖f i‖ ^ p.toReal) : Memℓp f p := by
rcases p.trichotomy with (rfl | rfl | hp)
· apply memℓp_zero
have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf
exact (Set.Finite.of_summable_const (by norm_num) H).subset (Set.subset_univ _)
· apply memℓp_infty
have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf
simpa using ((Set.Finite.of_summable_const (by norm_num) H).image fun i => ‖f i‖).bddAbove
exact (memℓp_gen_iff hp).2 hf
#align mem_ℓp_gen memℓp_gen
theorem memℓp_gen' {C : ℝ} {f : ∀ i, E i} (hf : ∀ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ C) :
Memℓp f p := by
apply memℓp_gen
use ⨆ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal
apply hasSum_of_isLUB_of_nonneg
· intro b
exact Real.rpow_nonneg (norm_nonneg _) _
apply isLUB_ciSup
use C
rintro - ⟨s, rfl⟩
exact hf s
#align mem_ℓp_gen' memℓp_gen'
theorem zero_memℓp : Memℓp (0 : ∀ i, E i) p := by
rcases p.trichotomy with (rfl | rfl | hp)
· apply memℓp_zero
simp
· apply memℓp_infty
simp only [norm_zero, Pi.zero_apply]
exact bddAbove_singleton.mono Set.range_const_subset
· apply memℓp_gen
simp [Real.zero_rpow hp.ne', summable_zero]
#align zero_mem_ℓp zero_memℓp
theorem zero_mem_ℓp' : Memℓp (fun i : α => (0 : E i)) p :=
zero_memℓp
#align zero_mem_ℓp' zero_mem_ℓp'
namespace Memℓp
theorem finite_dsupport {f : ∀ i, E i} (hf : Memℓp f 0) : Set.Finite { i | f i ≠ 0 } :=
memℓp_zero_iff.1 hf
#align mem_ℓp.finite_dsupport Memℓp.finite_dsupport
theorem bddAbove {f : ∀ i, E i} (hf : Memℓp f ∞) : BddAbove (Set.range fun i => ‖f i‖) :=
memℓp_infty_iff.1 hf
#align mem_ℓp.bdd_above Memℓp.bddAbove
theorem summable (hp : 0 < p.toReal) {f : ∀ i, E i} (hf : Memℓp f p) :
Summable fun i => ‖f i‖ ^ p.toReal :=
(memℓp_gen_iff hp).1 hf
#align mem_ℓp.summable Memℓp.summable
theorem neg {f : ∀ i, E i} (hf : Memℓp f p) : Memℓp (-f) p := by
rcases p.trichotomy with (rfl | rfl | hp)
· apply memℓp_zero
simp [hf.finite_dsupport]
· apply memℓp_infty
simpa using hf.bddAbove
· apply memℓp_gen
simpa using hf.summable hp
#align mem_ℓp.neg Memℓp.neg
@[simp]
theorem neg_iff {f : ∀ i, E i} : Memℓp (-f) p ↔ Memℓp f p :=
⟨fun h => neg_neg f ▸ h.neg, Memℓp.neg⟩
#align mem_ℓp.neg_iff Memℓp.neg_iff
theorem of_exponent_ge {p q : ℝ≥0∞} {f : ∀ i, E i} (hfq : Memℓp f q) (hpq : q ≤ p) : Memℓp f p := by
rcases ENNReal.trichotomy₂ hpq with
(⟨rfl, rfl⟩ | ⟨rfl, rfl⟩ | ⟨rfl, hp⟩ | ⟨rfl, rfl⟩ | ⟨hq, rfl⟩ | ⟨hq, _, hpq'⟩)
· exact hfq
· apply memℓp_infty
obtain ⟨C, hC⟩ := (hfq.finite_dsupport.image fun i => ‖f i‖).bddAbove
use max 0 C
rintro x ⟨i, rfl⟩
by_cases hi : f i = 0
· simp [hi]
· exact (hC ⟨i, hi, rfl⟩).trans (le_max_right _ _)
· apply memℓp_gen
have : ∀ i ∉ hfq.finite_dsupport.toFinset, ‖f i‖ ^ p.toReal = 0 := by
intro i hi
have : f i = 0 := by simpa using hi
simp [this, Real.zero_rpow hp.ne']
exact summable_of_ne_finset_zero this
· exact hfq
· apply memℓp_infty
obtain ⟨A, hA⟩ := (hfq.summable hq).tendsto_cofinite_zero.bddAbove_range_of_cofinite
use A ^ q.toReal⁻¹
rintro x ⟨i, rfl⟩
have : 0 ≤ ‖f i‖ ^ q.toReal := by positivity
simpa [← Real.rpow_mul, mul_inv_cancel hq.ne'] using
Real.rpow_le_rpow this (hA ⟨i, rfl⟩) (inv_nonneg.mpr hq.le)
· apply memℓp_gen
have hf' := hfq.summable hq
refine .of_norm_bounded_eventually _ hf' (@Set.Finite.subset _ { i | 1 ≤ ‖f i‖ } ?_ _ ?_)
· have H : { x : α | 1 ≤ ‖f x‖ ^ q.toReal }.Finite := by
simpa using eventually_lt_of_tendsto_lt (by norm_num) hf'.tendsto_cofinite_zero
exact H.subset fun i hi => Real.one_le_rpow hi hq.le
· show ∀ i, ¬|‖f i‖ ^ p.toReal| ≤ ‖f i‖ ^ q.toReal → 1 ≤ ‖f i‖
intro i hi
have : 0 ≤ ‖f i‖ ^ p.toReal := Real.rpow_nonneg (norm_nonneg _) p.toReal
simp only [abs_of_nonneg, this] at hi
contrapose! hi
exact Real.rpow_le_rpow_of_exponent_ge' (norm_nonneg _) hi.le hq.le hpq'
#align mem_ℓp.of_exponent_ge Memℓp.of_exponent_ge
theorem add {f g : ∀ i, E i} (hf : Memℓp f p) (hg : Memℓp g p) : Memℓp (f + g) p := by
rcases p.trichotomy with (rfl | rfl | hp)
· apply memℓp_zero
refine (hf.finite_dsupport.union hg.finite_dsupport).subset fun i => ?_
simp only [Pi.add_apply, Ne, Set.mem_union, Set.mem_setOf_eq]
contrapose!
rintro ⟨hf', hg'⟩
simp [hf', hg']
· apply memℓp_infty
obtain ⟨A, hA⟩ := hf.bddAbove
obtain ⟨B, hB⟩ := hg.bddAbove
refine ⟨A + B, ?_⟩
rintro a ⟨i, rfl⟩
exact le_trans (norm_add_le _ _) (add_le_add (hA ⟨i, rfl⟩) (hB ⟨i, rfl⟩))
apply memℓp_gen
let C : ℝ := if p.toReal < 1 then 1 else (2 : ℝ) ^ (p.toReal - 1)
refine .of_nonneg_of_le ?_ (fun i => ?_) (((hf.summable hp).add (hg.summable hp)).mul_left C)
· intro; positivity
· refine (Real.rpow_le_rpow (norm_nonneg _) (norm_add_le _ _) hp.le).trans ?_
dsimp only [C]
split_ifs with h
· simpa using NNReal.coe_le_coe.2 (NNReal.rpow_add_le_add_rpow ‖f i‖₊ ‖g i‖₊ hp.le h.le)
· let F : Fin 2 → ℝ≥0 := ![‖f i‖₊, ‖g i‖₊]
simp only [not_lt] at h
simpa [Fin.sum_univ_succ] using
Real.rpow_sum_le_const_mul_sum_rpow_of_nonneg Finset.univ h fun i _ => (F i).coe_nonneg
#align mem_ℓp.add Memℓp.add
theorem sub {f g : ∀ i, E i} (hf : Memℓp f p) (hg : Memℓp g p) : Memℓp (f - g) p := by
rw [sub_eq_add_neg]; exact hf.add hg.neg
#align mem_ℓp.sub Memℓp.sub
theorem finset_sum {ι} (s : Finset ι) {f : ι → ∀ i, E i} (hf : ∀ i ∈ s, Memℓp (f i) p) :
Memℓp (fun a => ∑ i ∈ s, f i a) p := by
haveI : DecidableEq ι := Classical.decEq _
revert hf
refine Finset.induction_on s ?_ ?_
· simp only [zero_mem_ℓp', Finset.sum_empty, imp_true_iff]
· intro i s his ih hf
simp only [his, Finset.sum_insert, not_false_iff]
exact (hf i (s.mem_insert_self i)).add (ih fun j hj => hf j (Finset.mem_insert_of_mem hj))
#align mem_ℓp.finset_sum Memℓp.finset_sum
section BoundedSMul
variable {𝕜 : Type*} [NormedRing 𝕜] [∀ i, Module 𝕜 (E i)] [∀ i, BoundedSMul 𝕜 (E i)]
theorem const_smul {f : ∀ i, E i} (hf : Memℓp f p) (c : 𝕜) : Memℓp (c • f) p := by
rcases p.trichotomy with (rfl | rfl | hp)
· apply memℓp_zero
refine hf.finite_dsupport.subset fun i => (?_ : ¬c • f i = 0 → ¬f i = 0)
exact not_imp_not.mpr fun hf' => hf'.symm ▸ smul_zero c
· obtain ⟨A, hA⟩ := hf.bddAbove
refine memℓp_infty ⟨‖c‖ * A, ?_⟩
rintro a ⟨i, rfl⟩
dsimp only [Pi.smul_apply]
refine (norm_smul_le _ _).trans ?_
gcongr
exact hA ⟨i, rfl⟩
· apply memℓp_gen
dsimp only [Pi.smul_apply]
have := (hf.summable hp).mul_left (↑(‖c‖₊ ^ p.toReal) : ℝ)
simp_rw [← coe_nnnorm, ← NNReal.coe_rpow, ← NNReal.coe_mul, NNReal.summable_coe,
← NNReal.mul_rpow] at this ⊢
refine NNReal.summable_of_le ?_ this
intro i
gcongr
apply nnnorm_smul_le
#align mem_ℓp.const_smul Memℓp.const_smul
theorem const_mul {f : α → 𝕜} (hf : Memℓp f p) (c : 𝕜) : Memℓp (fun x => c * f x) p :=
@Memℓp.const_smul α (fun _ => 𝕜) _ _ 𝕜 _ _ (fun i => by infer_instance) _ hf c
#align mem_ℓp.const_mul Memℓp.const_mul
end BoundedSMul
end Memℓp
/-!
### lp space
The space of elements of `∀ i, E i` satisfying the predicate `Memℓp`.
-/
/-- We define `PreLp E` to be a type synonym for `∀ i, E i` which, importantly, does not inherit
the `pi` topology on `∀ i, E i` (otherwise this topology would descend to `lp E p` and conflict
with the normed group topology we will later equip it with.)
We choose to deal with this issue by making a type synonym for `∀ i, E i` rather than for the `lp`
subgroup itself, because this allows all the spaces `lp E p` (for varying `p`) to be subgroups of
the same ambient group, which permits lemma statements like `lp.monotone` (below). -/
@[nolint unusedArguments]
def PreLp (E : α → Type*) [∀ i, NormedAddCommGroup (E i)] : Type _ :=
∀ i, E i --deriving AddCommGroup
#align pre_lp PreLp
instance : AddCommGroup (PreLp E) := by unfold PreLp; infer_instance
instance PreLp.unique [IsEmpty α] : Unique (PreLp E) :=
Pi.uniqueOfIsEmpty E
#align pre_lp.unique PreLp.unique
/-- lp space -/
def lp (E : α → Type*) [∀ i, NormedAddCommGroup (E i)] (p : ℝ≥0∞) : AddSubgroup (PreLp E) where
carrier := { f | Memℓp f p }
zero_mem' := zero_memℓp
add_mem' := Memℓp.add
neg_mem' := Memℓp.neg
#align lp lp
@[inherit_doc] scoped[lp] notation "ℓ^∞(" ι ", " E ")" => lp (fun i : ι => E) ∞
@[inherit_doc] scoped[lp] notation "ℓ^∞(" ι ")" => lp (fun i : ι => ℝ) ∞
namespace lp
-- Porting note: was `Coe`
instance : CoeOut (lp E p) (∀ i, E i) :=
⟨Subtype.val (α := ∀ i, E i)⟩ -- Porting note: Originally `coeSubtype`
instance coeFun : CoeFun (lp E p) fun _ => ∀ i, E i :=
⟨fun f => (f : ∀ i, E i)⟩
@[ext]
theorem ext {f g : lp E p} (h : (f : ∀ i, E i) = g) : f = g :=
Subtype.ext h
#align lp.ext lp.ext
protected theorem ext_iff {f g : lp E p} : f = g ↔ (f : ∀ i, E i) = g :=
Subtype.ext_iff
#align lp.ext_iff lp.ext_iff
theorem eq_zero' [IsEmpty α] (f : lp E p) : f = 0 :=
Subsingleton.elim f 0
#align lp.eq_zero' lp.eq_zero'
protected theorem monotone {p q : ℝ≥0∞} (hpq : q ≤ p) : lp E q ≤ lp E p :=
fun _ hf => Memℓp.of_exponent_ge hf hpq
#align lp.monotone lp.monotone
protected theorem memℓp (f : lp E p) : Memℓp f p :=
f.prop
#align lp.mem_ℓp lp.memℓp
variable (E p)
@[simp]
theorem coeFn_zero : ⇑(0 : lp E p) = 0 :=
rfl
#align lp.coe_fn_zero lp.coeFn_zero
variable {E p}
@[simp]
theorem coeFn_neg (f : lp E p) : ⇑(-f) = -f :=
rfl
#align lp.coe_fn_neg lp.coeFn_neg
@[simp]
theorem coeFn_add (f g : lp E p) : ⇑(f + g) = f + g :=
rfl
#align lp.coe_fn_add lp.coeFn_add
-- porting note (#10618): removed `@[simp]` because `simp` can prove this
theorem coeFn_sum {ι : Type*} (f : ι → lp E p) (s : Finset ι) :
⇑(∑ i ∈ s, f i) = ∑ i ∈ s, ⇑(f i) := by
simp
#align lp.coe_fn_sum lp.coeFn_sum
@[simp]
theorem coeFn_sub (f g : lp E p) : ⇑(f - g) = f - g :=
rfl
#align lp.coe_fn_sub lp.coeFn_sub
instance : Norm (lp E p) where
norm f :=
if hp : p = 0 then by
subst hp
exact ((lp.memℓp f).finite_dsupport.toFinset.card : ℝ)
else if p = ∞ then ⨆ i, ‖f i‖ else (∑' i, ‖f i‖ ^ p.toReal) ^ (1 / p.toReal)
theorem norm_eq_card_dsupport (f : lp E 0) : ‖f‖ = (lp.memℓp f).finite_dsupport.toFinset.card :=
dif_pos rfl
#align lp.norm_eq_card_dsupport lp.norm_eq_card_dsupport
theorem norm_eq_ciSup (f : lp E ∞) : ‖f‖ = ⨆ i, ‖f i‖ := by
dsimp [norm]
rw [dif_neg ENNReal.top_ne_zero, if_pos rfl]
#align lp.norm_eq_csupr lp.norm_eq_ciSup
theorem isLUB_norm [Nonempty α] (f : lp E ∞) : IsLUB (Set.range fun i => ‖f i‖) ‖f‖ := by
rw [lp.norm_eq_ciSup]
exact isLUB_ciSup (lp.memℓp f)
#align lp.is_lub_norm lp.isLUB_norm
theorem norm_eq_tsum_rpow (hp : 0 < p.toReal) (f : lp E p) :
‖f‖ = (∑' i, ‖f i‖ ^ p.toReal) ^ (1 / p.toReal) := by
dsimp [norm]
rw [ENNReal.toReal_pos_iff] at hp
rw [dif_neg hp.1.ne', if_neg hp.2.ne]
#align lp.norm_eq_tsum_rpow lp.norm_eq_tsum_rpow
theorem norm_rpow_eq_tsum (hp : 0 < p.toReal) (f : lp E p) :
‖f‖ ^ p.toReal = ∑' i, ‖f i‖ ^ p.toReal := by
rw [norm_eq_tsum_rpow hp, ← Real.rpow_mul]
· field_simp
apply tsum_nonneg
intro i
calc
(0 : ℝ) = (0 : ℝ) ^ p.toReal := by rw [Real.zero_rpow hp.ne']
_ ≤ _ := by gcongr; apply norm_nonneg
#align lp.norm_rpow_eq_tsum lp.norm_rpow_eq_tsum
theorem hasSum_norm (hp : 0 < p.toReal) (f : lp E p) :
HasSum (fun i => ‖f i‖ ^ p.toReal) (‖f‖ ^ p.toReal) := by
rw [norm_rpow_eq_tsum hp]
exact ((lp.memℓp f).summable hp).hasSum
#align lp.has_sum_norm lp.hasSum_norm
theorem norm_nonneg' (f : lp E p) : 0 ≤ ‖f‖ := by
rcases p.trichotomy with (rfl | rfl | hp)
· simp [lp.norm_eq_card_dsupport f]
· cases' isEmpty_or_nonempty α with _i _i
· rw [lp.norm_eq_ciSup]
simp [Real.iSup_of_isEmpty]
inhabit α
exact (norm_nonneg (f default)).trans ((lp.isLUB_norm f).1 ⟨default, rfl⟩)
· rw [lp.norm_eq_tsum_rpow hp f]
refine Real.rpow_nonneg (tsum_nonneg ?_) _
exact fun i => Real.rpow_nonneg (norm_nonneg _) _
#align lp.norm_nonneg' lp.norm_nonneg'
@[simp]
theorem norm_zero : ‖(0 : lp E p)‖ = 0 := by
rcases p.trichotomy with (rfl | rfl | hp)
· simp [lp.norm_eq_card_dsupport]
· simp [lp.norm_eq_ciSup]
· rw [lp.norm_eq_tsum_rpow hp]
have hp' : 1 / p.toReal ≠ 0 := one_div_ne_zero hp.ne'
simpa [Real.zero_rpow hp.ne'] using Real.zero_rpow hp'
#align lp.norm_zero lp.norm_zero
theorem norm_eq_zero_iff {f : lp E p} : ‖f‖ = 0 ↔ f = 0 := by
refine ⟨fun h => ?_, by rintro rfl; exact norm_zero⟩
rcases p.trichotomy with (rfl | rfl | hp)
· ext i
have : { i : α | ¬f i = 0 } = ∅ := by simpa [lp.norm_eq_card_dsupport f] using h
have : (¬f i = 0) = False := congr_fun this i
tauto
· cases' isEmpty_or_nonempty α with _i _i
· simp [eq_iff_true_of_subsingleton]
have H : IsLUB (Set.range fun i => ‖f i‖) 0 := by simpa [h] using lp.isLUB_norm f
ext i
have : ‖f i‖ = 0 := le_antisymm (H.1 ⟨i, rfl⟩) (norm_nonneg _)
simpa using this
· have hf : HasSum (fun i : α => ‖f i‖ ^ p.toReal) 0 := by
have := lp.hasSum_norm hp f
rwa [h, Real.zero_rpow hp.ne'] at this
have : ∀ i, 0 ≤ ‖f i‖ ^ p.toReal := fun i => Real.rpow_nonneg (norm_nonneg _) _
rw [hasSum_zero_iff_of_nonneg this] at hf
ext i
have : f i = 0 ∧ p.toReal ≠ 0 := by
simpa [Real.rpow_eq_zero_iff_of_nonneg (norm_nonneg (f i))] using congr_fun hf i
exact this.1
#align lp.norm_eq_zero_iff lp.norm_eq_zero_iff
theorem eq_zero_iff_coeFn_eq_zero {f : lp E p} : f = 0 ↔ ⇑f = 0 := by
rw [lp.ext_iff, coeFn_zero]
#align lp.eq_zero_iff_coe_fn_eq_zero lp.eq_zero_iff_coeFn_eq_zero
-- porting note (#11083): this was very slow, so I squeezed the `simp` calls
@[simp]
theorem norm_neg ⦃f : lp E p⦄ : ‖-f‖ = ‖f‖ := by
rcases p.trichotomy with (rfl | rfl | hp)
· simp only [norm_eq_card_dsupport, coeFn_neg, Pi.neg_apply, ne_eq, neg_eq_zero]
· cases isEmpty_or_nonempty α
· simp only [lp.eq_zero' f, neg_zero, norm_zero]
apply (lp.isLUB_norm (-f)).unique
simpa only [coeFn_neg, Pi.neg_apply, norm_neg] using lp.isLUB_norm f
· suffices ‖-f‖ ^ p.toReal = ‖f‖ ^ p.toReal by
exact Real.rpow_left_injOn hp.ne' (norm_nonneg' _) (norm_nonneg' _) this
apply (lp.hasSum_norm hp (-f)).unique
simpa only [coeFn_neg, Pi.neg_apply, _root_.norm_neg] using lp.hasSum_norm hp f
#align lp.norm_neg lp.norm_neg
instance normedAddCommGroup [hp : Fact (1 ≤ p)] : NormedAddCommGroup (lp E p) :=
AddGroupNorm.toNormedAddCommGroup
{ toFun := norm
map_zero' := norm_zero
neg' := norm_neg
add_le' := fun f g => by
rcases p.dichotomy with (rfl | hp')
· cases isEmpty_or_nonempty α
· simp only [lp.eq_zero' f, zero_add, norm_zero, le_refl]
refine (lp.isLUB_norm (f + g)).2 ?_
rintro x ⟨i, rfl⟩
refine le_trans ?_ (add_mem_upperBounds_add
(lp.isLUB_norm f).1 (lp.isLUB_norm g).1 ⟨_, ⟨i, rfl⟩, _, ⟨i, rfl⟩, rfl⟩)
exact norm_add_le (f i) (g i)
· have hp'' : 0 < p.toReal := zero_lt_one.trans_le hp'
have hf₁ : ∀ i, 0 ≤ ‖f i‖ := fun i => norm_nonneg _
have hg₁ : ∀ i, 0 ≤ ‖g i‖ := fun i => norm_nonneg _
have hf₂ := lp.hasSum_norm hp'' f
have hg₂ := lp.hasSum_norm hp'' g
-- apply Minkowski's inequality
obtain ⟨C, hC₁, hC₂, hCfg⟩ :=
Real.Lp_add_le_hasSum_of_nonneg hp' hf₁ hg₁ (norm_nonneg' _) (norm_nonneg' _) hf₂ hg₂
refine le_trans ?_ hC₂
rw [← Real.rpow_le_rpow_iff (norm_nonneg' (f + g)) hC₁ hp'']
refine hasSum_le ?_ (lp.hasSum_norm hp'' (f + g)) hCfg
intro i
gcongr
apply norm_add_le
eq_zero_of_map_eq_zero' := fun f => norm_eq_zero_iff.1 }
-- TODO: define an `ENNReal` version of `IsConjExponent`, and then express this inequality
-- in a better version which also covers the case `p = 1, q = ∞`.
/-- Hölder inequality -/
protected theorem tsum_mul_le_mul_norm {p q : ℝ≥0∞} (hpq : p.toReal.IsConjExponent q.toReal)
(f : lp E p) (g : lp E q) :
(Summable fun i => ‖f i‖ * ‖g i‖) ∧ ∑' i, ‖f i‖ * ‖g i‖ ≤ ‖f‖ * ‖g‖ := by
have hf₁ : ∀ i, 0 ≤ ‖f i‖ := fun i => norm_nonneg _
have hg₁ : ∀ i, 0 ≤ ‖g i‖ := fun i => norm_nonneg _
have hf₂ := lp.hasSum_norm hpq.pos f
have hg₂ := lp.hasSum_norm hpq.symm.pos g
obtain ⟨C, -, hC', hC⟩ :=
Real.inner_le_Lp_mul_Lq_hasSum_of_nonneg hpq (norm_nonneg' _) (norm_nonneg' _) hf₁ hg₁ hf₂ hg₂
rw [← hC.tsum_eq] at hC'
exact ⟨hC.summable, hC'⟩
#align lp.tsum_mul_le_mul_norm lp.tsum_mul_le_mul_norm
protected theorem summable_mul {p q : ℝ≥0∞} (hpq : p.toReal.IsConjExponent q.toReal)
(f : lp E p) (g : lp E q) : Summable fun i => ‖f i‖ * ‖g i‖ :=
(lp.tsum_mul_le_mul_norm hpq f g).1
#align lp.summable_mul lp.summable_mul
protected theorem tsum_mul_le_mul_norm' {p q : ℝ≥0∞} (hpq : p.toReal.IsConjExponent q.toReal)
(f : lp E p) (g : lp E q) : ∑' i, ‖f i‖ * ‖g i‖ ≤ ‖f‖ * ‖g‖ :=
(lp.tsum_mul_le_mul_norm hpq f g).2
#align lp.tsum_mul_le_mul_norm' lp.tsum_mul_le_mul_norm'
section ComparePointwise
theorem norm_apply_le_norm (hp : p ≠ 0) (f : lp E p) (i : α) : ‖f i‖ ≤ ‖f‖ := by
rcases eq_or_ne p ∞ with (rfl | hp')
· haveI : Nonempty α := ⟨i⟩
exact (isLUB_norm f).1 ⟨i, rfl⟩
have hp'' : 0 < p.toReal := ENNReal.toReal_pos hp hp'
have : ∀ i, 0 ≤ ‖f i‖ ^ p.toReal := fun i => Real.rpow_nonneg (norm_nonneg _) _
rw [← Real.rpow_le_rpow_iff (norm_nonneg _) (norm_nonneg' _) hp'']
convert le_hasSum (hasSum_norm hp'' f) i fun i _ => this i
#align lp.norm_apply_le_norm lp.norm_apply_le_norm
theorem sum_rpow_le_norm_rpow (hp : 0 < p.toReal) (f : lp E p) (s : Finset α) :
∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ ‖f‖ ^ p.toReal := by
rw [lp.norm_rpow_eq_tsum hp f]
have : ∀ i, 0 ≤ ‖f i‖ ^ p.toReal := fun i => Real.rpow_nonneg (norm_nonneg _) _
refine sum_le_tsum _ (fun i _ => this i) ?_
exact (lp.memℓp f).summable hp
#align lp.sum_rpow_le_norm_rpow lp.sum_rpow_le_norm_rpow
theorem norm_le_of_forall_le' [Nonempty α] {f : lp E ∞} (C : ℝ) (hCf : ∀ i, ‖f i‖ ≤ C) :
‖f‖ ≤ C := by
refine (isLUB_norm f).2 ?_
rintro - ⟨i, rfl⟩
exact hCf i
#align lp.norm_le_of_forall_le' lp.norm_le_of_forall_le'
theorem norm_le_of_forall_le {f : lp E ∞} {C : ℝ} (hC : 0 ≤ C) (hCf : ∀ i, ‖f i‖ ≤ C) :
‖f‖ ≤ C := by
cases isEmpty_or_nonempty α
· simpa [eq_zero' f] using hC
· exact norm_le_of_forall_le' C hCf
#align lp.norm_le_of_forall_le lp.norm_le_of_forall_le
theorem norm_le_of_tsum_le (hp : 0 < p.toReal) {C : ℝ} (hC : 0 ≤ C) {f : lp E p}
(hf : ∑' i, ‖f i‖ ^ p.toReal ≤ C ^ p.toReal) : ‖f‖ ≤ C := by
rw [← Real.rpow_le_rpow_iff (norm_nonneg' _) hC hp, norm_rpow_eq_tsum hp]
exact hf
#align lp.norm_le_of_tsum_le lp.norm_le_of_tsum_le
theorem norm_le_of_forall_sum_le (hp : 0 < p.toReal) {C : ℝ} (hC : 0 ≤ C) {f : lp E p}
(hf : ∀ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ C ^ p.toReal) : ‖f‖ ≤ C :=
norm_le_of_tsum_le hp hC (tsum_le_of_sum_le ((lp.memℓp f).summable hp) hf)
#align lp.norm_le_of_forall_sum_le lp.norm_le_of_forall_sum_le
end ComparePointwise
section BoundedSMul
variable {𝕜 : Type*} {𝕜' : Type*}
variable [NormedRing 𝕜] [NormedRing 𝕜']
variable [∀ i, Module 𝕜 (E i)] [∀ i, Module 𝕜' (E i)]
instance : Module 𝕜 (PreLp E) :=
Pi.module α E 𝕜
instance [∀ i, SMulCommClass 𝕜' 𝕜 (E i)] : SMulCommClass 𝕜' 𝕜 (PreLp E) :=
Pi.smulCommClass
instance [SMul 𝕜' 𝕜] [∀ i, IsScalarTower 𝕜' 𝕜 (E i)] : IsScalarTower 𝕜' 𝕜 (PreLp E) :=
Pi.isScalarTower
instance [∀ i, Module 𝕜ᵐᵒᵖ (E i)] [∀ i, IsCentralScalar 𝕜 (E i)] : IsCentralScalar 𝕜 (PreLp E) :=
Pi.isCentralScalar
variable [∀ i, BoundedSMul 𝕜 (E i)] [∀ i, BoundedSMul 𝕜' (E i)]
theorem mem_lp_const_smul (c : 𝕜) (f : lp E p) : c • (f : PreLp E) ∈ lp E p :=
(lp.memℓp f).const_smul c
#align lp.mem_lp_const_smul lp.mem_lp_const_smul
variable (E p 𝕜)
/-- The `𝕜`-submodule of elements of `∀ i : α, E i` whose `lp` norm is finite. This is `lp E p`,
with extra structure. -/
def _root_.lpSubmodule : Submodule 𝕜 (PreLp E) :=
{ lp E p with smul_mem' := fun c f hf => by simpa using mem_lp_const_smul c ⟨f, hf⟩ }
#align lp_submodule lpSubmodule
variable {E p 𝕜}
theorem coe_lpSubmodule : (lpSubmodule E p 𝕜).toAddSubgroup = lp E p :=
rfl
#align lp.coe_lp_submodule lp.coe_lpSubmodule
instance : Module 𝕜 (lp E p) :=
{ (lpSubmodule E p 𝕜).module with }
@[simp]
theorem coeFn_smul (c : 𝕜) (f : lp E p) : ⇑(c • f) = c • ⇑f :=
rfl
#align lp.coe_fn_smul lp.coeFn_smul
instance [∀ i, SMulCommClass 𝕜' 𝕜 (E i)] : SMulCommClass 𝕜' 𝕜 (lp E p) :=
⟨fun _ _ _ => Subtype.ext <| smul_comm _ _ _⟩
instance [SMul 𝕜' 𝕜] [∀ i, IsScalarTower 𝕜' 𝕜 (E i)] : IsScalarTower 𝕜' 𝕜 (lp E p) :=
⟨fun _ _ _ => Subtype.ext <| smul_assoc _ _ _⟩
instance [∀ i, Module 𝕜ᵐᵒᵖ (E i)] [∀ i, IsCentralScalar 𝕜 (E i)] : IsCentralScalar 𝕜 (lp E p) :=
⟨fun _ _ => Subtype.ext <| op_smul_eq_smul _ _⟩
theorem norm_const_smul_le (hp : p ≠ 0) (c : 𝕜) (f : lp E p) : ‖c • f‖ ≤ ‖c‖ * ‖f‖ := by
rcases p.trichotomy with (rfl | rfl | hp)
· exact absurd rfl hp
· cases isEmpty_or_nonempty α
· simp [lp.eq_zero' f]
have hcf := lp.isLUB_norm (c • f)
have hfc := (lp.isLUB_norm f).mul_left (norm_nonneg c)
simp_rw [← Set.range_comp, Function.comp] at hfc
-- TODO: some `IsLUB` API should make it a one-liner from here.
refine hcf.right ?_
have := hfc.left
simp_rw [mem_upperBounds, Set.mem_range,
forall_exists_index, forall_apply_eq_imp_iff] at this ⊢
intro a
exact (norm_smul_le _ _).trans (this a)
· letI inst : NNNorm (lp E p) := ⟨fun f => ⟨‖f‖, norm_nonneg' _⟩⟩
have coe_nnnorm : ∀ f : lp E p, ↑‖f‖₊ = ‖f‖ := fun _ => rfl
suffices ‖c • f‖₊ ^ p.toReal ≤ (‖c‖₊ * ‖f‖₊) ^ p.toReal by
rwa [NNReal.rpow_le_rpow_iff hp] at this
clear_value inst
rw [NNReal.mul_rpow]
have hLHS := lp.hasSum_norm hp (c • f)
have hRHS := (lp.hasSum_norm hp f).mul_left (‖c‖ ^ p.toReal)
simp_rw [← coe_nnnorm, ← _root_.coe_nnnorm, ← NNReal.coe_rpow, ← NNReal.coe_mul,
NNReal.hasSum_coe] at hRHS hLHS
refine hasSum_mono hLHS hRHS fun i => ?_
dsimp only
rw [← NNReal.mul_rpow]
-- Porting note: added
rw [lp.coeFn_smul, Pi.smul_apply]
gcongr
apply nnnorm_smul_le
#align lp.norm_const_smul_le lp.norm_const_smul_le
instance [Fact (1 ≤ p)] : BoundedSMul 𝕜 (lp E p) :=
BoundedSMul.of_norm_smul_le <| norm_const_smul_le (zero_lt_one.trans_le <| Fact.out).ne'
end BoundedSMul
section DivisionRing
variable {𝕜 : Type*}
variable [NormedDivisionRing 𝕜] [∀ i, Module 𝕜 (E i)] [∀ i, BoundedSMul 𝕜 (E i)]
theorem norm_const_smul (hp : p ≠ 0) {c : 𝕜} (f : lp E p) : ‖c • f‖ = ‖c‖ * ‖f‖ := by
obtain rfl | hc := eq_or_ne c 0
· simp
refine le_antisymm (norm_const_smul_le hp c f) ?_
have := mul_le_mul_of_nonneg_left (norm_const_smul_le hp c⁻¹ (c • f)) (norm_nonneg c)
rwa [inv_smul_smul₀ hc, norm_inv, mul_inv_cancel_left₀ (norm_ne_zero_iff.mpr hc)] at this
#align lp.norm_const_smul lp.norm_const_smul
end DivisionRing
section NormedSpace
variable {𝕜 : Type*} [NormedField 𝕜] [∀ i, NormedSpace 𝕜 (E i)]
instance instNormedSpace [Fact (1 ≤ p)] : NormedSpace 𝕜 (lp E p) where
norm_smul_le c f := norm_smul_le c f
end NormedSpace
section NormedStarGroup
variable [∀ i, StarAddMonoid (E i)] [∀ i, NormedStarGroup (E i)]
theorem _root_.Memℓp.star_mem {f : ∀ i, E i} (hf : Memℓp f p) : Memℓp (star f) p := by
rcases p.trichotomy with (rfl | rfl | hp)
· apply memℓp_zero
simp [hf.finite_dsupport]
· apply memℓp_infty
simpa using hf.bddAbove
· apply memℓp_gen
simpa using hf.summable hp
#align mem_ℓp.star_mem Memℓp.star_mem
@[simp]
theorem _root_.Memℓp.star_iff {f : ∀ i, E i} : Memℓp (star f) p ↔ Memℓp f p :=
⟨fun h => star_star f ▸ Memℓp.star_mem h, Memℓp.star_mem⟩
#align mem_ℓp.star_iff Memℓp.star_iff
instance : Star (lp E p) where
star f := ⟨(star f : ∀ i, E i), f.property.star_mem⟩
@[simp]
theorem coeFn_star (f : lp E p) : ⇑(star f) = star (⇑f) :=
rfl
#align lp.coe_fn_star lp.coeFn_star
@[simp]
protected theorem star_apply (f : lp E p) (i : α) : star f i = star (f i) :=
rfl
#align lp.star_apply lp.star_apply
instance instInvolutiveStar : InvolutiveStar (lp E p) where
star_involutive x := by simp [star]
instance instStarAddMonoid : StarAddMonoid (lp E p) where
star_add _f _g := ext <| star_add (R := ∀ i, E i) _ _
instance [hp : Fact (1 ≤ p)] : NormedStarGroup (lp E p) where
norm_star f := by
rcases p.trichotomy with (rfl | rfl | h)
· exfalso
have := ENNReal.toReal_mono ENNReal.zero_ne_top hp.elim
set_option tactic.skipAssignedInstances false in norm_num at this
· simp only [lp.norm_eq_ciSup, lp.star_apply, norm_star]
· simp only [lp.norm_eq_tsum_rpow h, lp.star_apply, norm_star]
variable {𝕜 : Type*} [Star 𝕜] [NormedRing 𝕜]
variable [∀ i, Module 𝕜 (E i)] [∀ i, BoundedSMul 𝕜 (E i)] [∀ i, StarModule 𝕜 (E i)]
instance : StarModule 𝕜 (lp E p) where
star_smul _r _f := ext <| star_smul (A := ∀ i, E i) _ _
end NormedStarGroup
section NonUnitalNormedRing
variable {I : Type*} {B : I → Type*} [∀ i, NonUnitalNormedRing (B i)]
theorem _root_.Memℓp.infty_mul {f g : ∀ i, B i} (hf : Memℓp f ∞) (hg : Memℓp g ∞) :
Memℓp (f * g) ∞ := by
rw [memℓp_infty_iff]
obtain ⟨⟨Cf, hCf⟩, ⟨Cg, hCg⟩⟩ := hf.bddAbove, hg.bddAbove
refine ⟨Cf * Cg, ?_⟩
rintro _ ⟨i, rfl⟩
calc
‖(f * g) i‖ ≤ ‖f i‖ * ‖g i‖ := norm_mul_le (f i) (g i)
_ ≤ Cf * Cg :=
mul_le_mul (hCf ⟨i, rfl⟩) (hCg ⟨i, rfl⟩) (norm_nonneg _)
((norm_nonneg _).trans (hCf ⟨i, rfl⟩))
#align mem_ℓp.infty_mul Memℓp.infty_mul
instance : Mul (lp B ∞) where
mul f g := ⟨HMul.hMul (α := ∀ i, B i) _ _ , f.property.infty_mul g.property⟩
@[simp]
theorem infty_coeFn_mul (f g : lp B ∞) : ⇑(f * g) = ⇑f * ⇑g :=
rfl
#align lp.infty_coe_fn_mul lp.infty_coeFn_mul
instance nonUnitalRing : NonUnitalRing (lp B ∞) :=
Function.Injective.nonUnitalRing lp.coeFun.coe Subtype.coe_injective (lp.coeFn_zero B ∞)
lp.coeFn_add infty_coeFn_mul lp.coeFn_neg lp.coeFn_sub (fun _ _ => rfl) fun _ _ => rfl
instance nonUnitalNormedRing : NonUnitalNormedRing (lp B ∞) :=
{ lp.normedAddCommGroup, lp.nonUnitalRing with
norm_mul := fun f g =>
lp.norm_le_of_forall_le (mul_nonneg (norm_nonneg f) (norm_nonneg g)) fun i =>
calc
‖(f * g) i‖ ≤ ‖f i‖ * ‖g i‖ := norm_mul_le _ _
_ ≤ ‖f‖ * ‖g‖ :=
mul_le_mul (lp.norm_apply_le_norm ENNReal.top_ne_zero f i)
(lp.norm_apply_le_norm ENNReal.top_ne_zero g i) (norm_nonneg _) (norm_nonneg _) }
-- we also want a `NonUnitalNormedCommRing` instance, but this has to wait for mathlib3 #13719
instance infty_isScalarTower {𝕜} [NormedRing 𝕜] [∀ i, Module 𝕜 (B i)] [∀ i, BoundedSMul 𝕜 (B i)]
[∀ i, IsScalarTower 𝕜 (B i) (B i)] : IsScalarTower 𝕜 (lp B ∞) (lp B ∞) :=
⟨fun r f g => lp.ext <| smul_assoc (N := ∀ i, B i) (α := ∀ i, B i) r (⇑f) (⇑g)⟩
#align lp.infty_is_scalar_tower lp.infty_isScalarTower
instance infty_smulCommClass {𝕜} [NormedRing 𝕜] [∀ i, Module 𝕜 (B i)] [∀ i, BoundedSMul 𝕜 (B i)]
[∀ i, SMulCommClass 𝕜 (B i) (B i)] : SMulCommClass 𝕜 (lp B ∞) (lp B ∞) :=
⟨fun r f g => lp.ext <| smul_comm (N := ∀ i, B i) (α := ∀ i, B i) r (⇑f) (⇑g)⟩
#align lp.infty_smul_comm_class lp.infty_smulCommClass
section StarRing
variable [∀ i, StarRing (B i)] [∀ i, NormedStarGroup (B i)]
instance inftyStarRing : StarRing (lp B ∞) :=
{ lp.instStarAddMonoid with
star_mul := fun _f _g => ext <| star_mul (R := ∀ i, B i) _ _ }
#align lp.infty_star_ring lp.inftyStarRing
instance inftyCstarRing [∀ i, CstarRing (B i)] : CstarRing (lp B ∞) where
norm_star_mul_self := by
intro f
apply le_antisymm
· rw [← sq]
refine lp.norm_le_of_forall_le (sq_nonneg ‖f‖) fun i => ?_
simp only [lp.star_apply, CstarRing.norm_star_mul_self, ← sq, infty_coeFn_mul, Pi.mul_apply]
refine sq_le_sq' ?_ (lp.norm_apply_le_norm ENNReal.top_ne_zero _ _)
linarith [norm_nonneg (f i), norm_nonneg f]
· rw [← sq, ← Real.le_sqrt (norm_nonneg _) (norm_nonneg _)]
refine lp.norm_le_of_forall_le ‖star f * f‖.sqrt_nonneg fun i => ?_
rw [Real.le_sqrt (norm_nonneg _) (norm_nonneg _), sq, ← CstarRing.norm_star_mul_self]
exact lp.norm_apply_le_norm ENNReal.top_ne_zero (star f * f) i
#align lp.infty_cstar_ring lp.inftyCstarRing
end StarRing
end NonUnitalNormedRing
section NormedRing
variable {I : Type*} {B : I → Type*} [∀ i, NormedRing (B i)]
instance _root_.PreLp.ring : Ring (PreLp B) :=
Pi.ring
#align pre_lp.ring PreLp.ring
variable [∀ i, NormOneClass (B i)]
theorem _root_.one_memℓp_infty : Memℓp (1 : ∀ i, B i) ∞ :=
⟨1, by rintro i ⟨i, rfl⟩; exact norm_one.le⟩
#align one_mem_ℓp_infty one_memℓp_infty
variable (B)
/-- The `𝕜`-subring of elements of `∀ i : α, B i` whose `lp` norm is finite. This is `lp E ∞`,
with extra structure. -/
def _root_.lpInftySubring : Subring (PreLp B) :=
{ lp B ∞ with
carrier := { f | Memℓp f ∞ }
one_mem' := one_memℓp_infty
mul_mem' := Memℓp.infty_mul }
#align lp_infty_subring lpInftySubring
variable {B}
instance inftyRing : Ring (lp B ∞) :=
(lpInftySubring B).toRing
#align lp.infty_ring lp.inftyRing
theorem _root_.Memℓp.infty_pow {f : ∀ i, B i} (hf : Memℓp f ∞) (n : ℕ) : Memℓp (f ^ n) ∞ :=
(lpInftySubring B).pow_mem hf n
#align mem_ℓp.infty_pow Memℓp.infty_pow
theorem _root_.natCast_memℓp_infty (n : ℕ) : Memℓp (n : ∀ i, B i) ∞ :=
natCast_mem (lpInftySubring B) n
#align nat_cast_mem_ℓp_infty natCast_memℓp_infty
@[deprecated (since := "2024-04-17")]
alias _root_.nat_cast_memℓp_infty := _root_.natCast_memℓp_infty
theorem _root_.intCast_memℓp_infty (z : ℤ) : Memℓp (z : ∀ i, B i) ∞ :=
intCast_mem (lpInftySubring B) z
#align int_cast_mem_ℓp_infty intCast_memℓp_infty
@[deprecated (since := "2024-04-17")]
alias _root_.int_cast_memℓp_infty := _root_.intCast_memℓp_infty
@[simp]
theorem infty_coeFn_one : ⇑(1 : lp B ∞) = 1 :=
rfl
#align lp.infty_coe_fn_one lp.infty_coeFn_one
@[simp]
theorem infty_coeFn_pow (f : lp B ∞) (n : ℕ) : ⇑(f ^ n) = (⇑f) ^ n :=
rfl
#align lp.infty_coe_fn_pow lp.infty_coeFn_pow
@[simp]
theorem infty_coeFn_natCast (n : ℕ) : ⇑(n : lp B ∞) = n :=
rfl
#align lp.infty_coe_fn_nat_cast lp.infty_coeFn_natCast
@[deprecated (since := "2024-04-17")]
alias infty_coeFn_nat_cast := infty_coeFn_natCast
@[simp]
theorem infty_coeFn_intCast (z : ℤ) : ⇑(z : lp B ∞) = z :=
rfl
#align lp.infty_coe_fn_int_cast lp.infty_coeFn_intCast
@[deprecated (since := "2024-04-17")]
alias infty_coeFn_int_cast := infty_coeFn_intCast
instance [Nonempty I] : NormOneClass (lp B ∞) where
norm_one := by simp_rw [lp.norm_eq_ciSup, infty_coeFn_one, Pi.one_apply, norm_one, ciSup_const]
instance inftyNormedRing : NormedRing (lp B ∞) :=
{ lp.inftyRing, lp.nonUnitalNormedRing with }
#align lp.infty_normed_ring lp.inftyNormedRing
end NormedRing
section NormedCommRing
variable {I : Type*} {B : I → Type*} [∀ i, NormedCommRing (B i)] [∀ i, NormOneClass (B i)]
instance inftyCommRing : CommRing (lp B ∞) :=
{ lp.inftyRing with
mul_comm := fun f g => by ext; simp only [lp.infty_coeFn_mul, Pi.mul_apply, mul_comm] }
#align lp.infty_comm_ring lp.inftyCommRing
instance inftyNormedCommRing : NormedCommRing (lp B ∞) :=
{ lp.inftyCommRing, lp.inftyNormedRing with }
#align lp.infty_normed_comm_ring lp.inftyNormedCommRing
end NormedCommRing
section Algebra
variable {I : Type*} {𝕜 : Type*} {B : I → Type*}
variable [NormedField 𝕜] [∀ i, NormedRing (B i)] [∀ i, NormedAlgebra 𝕜 (B i)]
/-- A variant of `Pi.algebra` that lean can't find otherwise. -/
instance _root_.Pi.algebraOfNormedAlgebra : Algebra 𝕜 (∀ i, B i) :=
@Pi.algebra I 𝕜 B _ _ fun _ => NormedAlgebra.toAlgebra
#align pi.algebra_of_normed_algebra Pi.algebraOfNormedAlgebra
instance _root_.PreLp.algebra : Algebra 𝕜 (PreLp B) :=
Pi.algebraOfNormedAlgebra
#align pre_lp.algebra PreLp.algebra
variable [∀ i, NormOneClass (B i)]
theorem _root_.algebraMap_memℓp_infty (k : 𝕜) : Memℓp (algebraMap 𝕜 (∀ i, B i) k) ∞ := by
rw [Algebra.algebraMap_eq_smul_one]
exact (one_memℓp_infty.const_smul k : Memℓp (k • (1 : ∀ i, B i)) ∞)
#align algebra_map_mem_ℓp_infty algebraMap_memℓp_infty
variable (𝕜 B)
/-- The `𝕜`-subalgebra of elements of `∀ i : α, B i` whose `lp` norm is finite. This is `lp E ∞`,
with extra structure. -/
def _root_.lpInftySubalgebra : Subalgebra 𝕜 (PreLp B) :=
{ lpInftySubring B with
carrier := { f | Memℓp f ∞ }
algebraMap_mem' := algebraMap_memℓp_infty }
#align lp_infty_subalgebra lpInftySubalgebra
variable {𝕜 B}
instance inftyNormedAlgebra : NormedAlgebra 𝕜 (lp B ∞) :=
{ (lpInftySubalgebra 𝕜 B).algebra, (lp.instNormedSpace : NormedSpace 𝕜 (lp B ∞)) with }
#align lp.infty_normed_algebra lp.inftyNormedAlgebra
end Algebra
section Single
variable {𝕜 : Type*} [NormedRing 𝕜] [∀ i, Module 𝕜 (E i)] [∀ i, BoundedSMul 𝕜 (E i)]
variable [DecidableEq α]
/-- The element of `lp E p` which is `a : E i` at the index `i`, and zero elsewhere. -/
protected def single (p) (i : α) (a : E i) : lp E p :=
⟨fun j => if h : j = i then Eq.ndrec a h.symm else 0, by
refine (memℓp_zero ?_).of_exponent_ge (zero_le p)
refine (Set.finite_singleton i).subset ?_
intro j
simp only [forall_exists_index, Set.mem_singleton_iff, Ne, dite_eq_right_iff,
Set.mem_setOf_eq, not_forall]
rintro rfl
simp⟩
#align lp.single lp.single
protected theorem single_apply (p) (i : α) (a : E i) (j : α) :
lp.single p i a j = if h : j = i then Eq.ndrec a h.symm else 0 :=
rfl
#align lp.single_apply lp.single_apply
protected theorem single_apply_self (p) (i : α) (a : E i) : lp.single p i a i = a := by
rw [lp.single_apply, dif_pos rfl]
#align lp.single_apply_self lp.single_apply_self
protected theorem single_apply_ne (p) (i : α) (a : E i) {j : α} (hij : j ≠ i) :
lp.single p i a j = 0 := by
rw [lp.single_apply, dif_neg hij]
#align lp.single_apply_ne lp.single_apply_ne
@[simp]
protected theorem single_neg (p) (i : α) (a : E i) : lp.single p i (-a) = -lp.single p i a := by
refine ext (funext (fun (j : α) => ?_))
by_cases hi : j = i
· subst hi
simp [lp.single_apply_self]
· simp [lp.single_apply_ne p i _ hi]
#align lp.single_neg lp.single_neg
@[simp]
protected theorem single_smul (p) (i : α) (a : E i) (c : 𝕜) :
lp.single p i (c • a) = c • lp.single p i a := by
refine ext (funext (fun (j : α) => ?_))
by_cases hi : j = i
· subst hi
dsimp
simp [lp.single_apply_self]
· dsimp
simp [lp.single_apply_ne p i _ hi]
#align lp.single_smul lp.single_smul
protected theorem norm_sum_single (hp : 0 < p.toReal) (f : ∀ i, E i) (s : Finset α) :
‖∑ i ∈ s, lp.single p i (f i)‖ ^ p.toReal = ∑ i ∈ s, ‖f i‖ ^ p.toReal := by
refine (hasSum_norm hp (∑ i ∈ s, lp.single p i (f i))).unique ?_
simp only [lp.single_apply, coeFn_sum, Finset.sum_apply, Finset.sum_dite_eq]
have h : ∀ i ∉ s, ‖ite (i ∈ s) (f i) 0‖ ^ p.toReal = 0 := fun i hi ↦ by
simp [if_neg hi, Real.zero_rpow hp.ne']
have h' : ∀ i ∈ s, ‖f i‖ ^ p.toReal = ‖ite (i ∈ s) (f i) 0‖ ^ p.toReal := by
intro i hi
rw [if_pos hi]
simpa [Finset.sum_congr rfl h'] using hasSum_sum_of_ne_finset_zero h
#align lp.norm_sum_single lp.norm_sum_single
protected theorem norm_single (hp : 0 < p.toReal) (f : ∀ i, E i) (i : α) :
‖lp.single p i (f i)‖ = ‖f i‖ := by
refine Real.rpow_left_injOn hp.ne' (norm_nonneg' _) (norm_nonneg _) ?_
simpa using lp.norm_sum_single hp f {i}
#align lp.norm_single lp.norm_single
protected theorem norm_sub_norm_compl_sub_single (hp : 0 < p.toReal) (f : lp E p) (s : Finset α) :
‖f‖ ^ p.toReal - ‖f - ∑ i ∈ s, lp.single p i (f i)‖ ^ p.toReal =
∑ i ∈ s, ‖f i‖ ^ p.toReal := by
refine ((hasSum_norm hp f).sub (hasSum_norm hp (f - ∑ i ∈ s, lp.single p i (f i)))).unique ?_
let F : α → ℝ := fun i => ‖f i‖ ^ p.toReal - ‖(f - ∑ i ∈ s, lp.single p i (f i)) i‖ ^ p.toReal
have hF : ∀ i ∉ s, F i = 0 := by
intro i hi
suffices ‖f i‖ ^ p.toReal - ‖f i - ite (i ∈ s) (f i) 0‖ ^ p.toReal = 0 by
simpa only [F, coeFn_sum, lp.single_apply, coeFn_sub, Pi.sub_apply, Finset.sum_apply,
Finset.sum_dite_eq] using this
simp only [if_neg hi, sub_zero, sub_self]
have hF' : ∀ i ∈ s, F i = ‖f i‖ ^ p.toReal := by
intro i hi
simp only [F, coeFn_sum, lp.single_apply, if_pos hi, sub_self, eq_self_iff_true, coeFn_sub,
Pi.sub_apply, Finset.sum_apply, Finset.sum_dite_eq, sub_eq_self]
simp [Real.zero_rpow hp.ne']
have : HasSum F (∑ i ∈ s, F i) := hasSum_sum_of_ne_finset_zero hF
rwa [Finset.sum_congr rfl hF'] at this
#align lp.norm_sub_norm_compl_sub_single lp.norm_sub_norm_compl_sub_single
protected theorem norm_compl_sum_single (hp : 0 < p.toReal) (f : lp E p) (s : Finset α) :
‖f - ∑ i ∈ s, lp.single p i (f i)‖ ^ p.toReal = ‖f‖ ^ p.toReal - ∑ i ∈ s, ‖f i‖ ^ p.toReal := by
linarith [lp.norm_sub_norm_compl_sub_single hp f s]
#align lp.norm_compl_sum_single lp.norm_compl_sum_single
/-- The canonical finitely-supported approximations to an element `f` of `lp` converge to it, in the
`lp` topology. -/
protected theorem hasSum_single [Fact (1 ≤ p)] (hp : p ≠ ⊤) (f : lp E p) :
HasSum (fun i : α => lp.single p i (f i : E i)) f := by
have hp₀ : 0 < p := zero_lt_one.trans_le Fact.out
have hp' : 0 < p.toReal := ENNReal.toReal_pos hp₀.ne' hp
have := lp.hasSum_norm hp' f
rw [HasSum, Metric.tendsto_nhds] at this ⊢
intro ε hε
refine (this _ (Real.rpow_pos_of_pos hε p.toReal)).mono ?_
intro s hs
rw [← Real.rpow_lt_rpow_iff dist_nonneg (le_of_lt hε) hp']
rw [dist_comm] at hs
simp only [dist_eq_norm, Real.norm_eq_abs] at hs ⊢
have H : ‖(∑ i ∈ s, lp.single p i (f i : E i)) - f‖ ^ p.toReal =
‖f‖ ^ p.toReal - ∑ i ∈ s, ‖f i‖ ^ p.toReal := by
simpa only [coeFn_neg, Pi.neg_apply, lp.single_neg, Finset.sum_neg_distrib, neg_sub_neg,
norm_neg, _root_.norm_neg] using lp.norm_compl_sum_single hp' (-f) s
rw [← H] at hs
have : |‖(∑ i ∈ s, lp.single p i (f i : E i)) - f‖ ^ p.toReal| =
‖(∑ i ∈ s, lp.single p i (f i : E i)) - f‖ ^ p.toReal := by
simp only [Real.abs_rpow_of_nonneg (norm_nonneg _), abs_norm]
exact this ▸ hs
#align lp.has_sum_single lp.hasSum_single
end Single
section Topology
open Filter
open scoped Topology uniformity
/-- The coercion from `lp E p` to `∀ i, E i` is uniformly continuous. -/
theorem uniformContinuous_coe [_i : Fact (1 ≤ p)] :
UniformContinuous (α := lp E p) ((↑) : lp E p → ∀ i, E i) := by
have hp : p ≠ 0 := (zero_lt_one.trans_le _i.elim).ne'
rw [uniformContinuous_pi]
intro i
rw [NormedAddCommGroup.uniformity_basis_dist.uniformContinuous_iff
NormedAddCommGroup.uniformity_basis_dist]
intro ε hε
refine ⟨ε, hε, ?_⟩
rintro f g (hfg : ‖f - g‖ < ε)
have : ‖f i - g i‖ ≤ ‖f - g‖ := norm_apply_le_norm hp (f - g) i
exact this.trans_lt hfg
#align lp.uniform_continuous_coe lp.uniformContinuous_coe
variable {ι : Type*} {l : Filter ι} [Filter.NeBot l]
theorem norm_apply_le_of_tendsto {C : ℝ} {F : ι → lp E ∞} (hCF : ∀ᶠ k in l, ‖F k‖ ≤ C)
{f : ∀ a, E a} (hf : Tendsto (id fun i => F i : ι → ∀ a, E a) l (𝓝 f)) (a : α) : ‖f a‖ ≤ C := by
have : Tendsto (fun k => ‖F k a‖) l (𝓝 ‖f a‖) :=
(Tendsto.comp (continuous_apply a).continuousAt hf).norm
refine le_of_tendsto this (hCF.mono ?_)
intro k hCFk
exact (norm_apply_le_norm ENNReal.top_ne_zero (F k) a).trans hCFk
#align lp.norm_apply_le_of_tendsto lp.norm_apply_le_of_tendsto
variable [_i : Fact (1 ≤ p)]
theorem sum_rpow_le_of_tendsto (hp : p ≠ ∞) {C : ℝ} {F : ι → lp E p} (hCF : ∀ᶠ k in l, ‖F k‖ ≤ C)
{f : ∀ a, E a} (hf : Tendsto (id fun i => F i : ι → ∀ a, E a) l (𝓝 f)) (s : Finset α) :
∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ C ^ p.toReal := by
have hp' : p ≠ 0 := (zero_lt_one.trans_le _i.elim).ne'
have hp'' : 0 < p.toReal := ENNReal.toReal_pos hp' hp
let G : (∀ a, E a) → ℝ := fun f => ∑ a ∈ s, ‖f a‖ ^ p.toReal
have hG : Continuous G := by
refine continuous_finset_sum s ?_
intro a _
have : Continuous fun f : ∀ a, E a => f a := continuous_apply a
exact this.norm.rpow_const fun _ => Or.inr hp''.le
refine le_of_tendsto (hG.continuousAt.tendsto.comp hf) ?_
refine hCF.mono ?_
intro k hCFk
refine (lp.sum_rpow_le_norm_rpow hp'' (F k) s).trans ?_
gcongr
#align lp.sum_rpow_le_of_tendsto lp.sum_rpow_le_of_tendsto
/-- "Semicontinuity of the `lp` norm": If all sufficiently large elements of a sequence in `lp E p`
have `lp` norm `≤ C`, then the pointwise limit, if it exists, also has `lp` norm `≤ C`. -/
| Mathlib/Analysis/NormedSpace/lpSpace.lean | 1,167 | 1,177 | theorem norm_le_of_tendsto {C : ℝ} {F : ι → lp E p} (hCF : ∀ᶠ k in l, ‖F k‖ ≤ C) {f : lp E p}
(hf : Tendsto (id fun i => F i : ι → ∀ a, E a) l (𝓝 f)) : ‖f‖ ≤ C := by |
obtain ⟨i, hi⟩ := hCF.exists
have hC : 0 ≤ C := (norm_nonneg _).trans hi
rcases eq_top_or_lt_top p with (rfl | hp)
· apply norm_le_of_forall_le hC
exact norm_apply_le_of_tendsto hCF hf
· have : 0 < p := zero_lt_one.trans_le _i.elim
have hp' : 0 < p.toReal := ENNReal.toReal_pos this.ne' hp.ne
apply norm_le_of_forall_sum_le hp' hC
exact sum_rpow_le_of_tendsto hp.ne hCF hf
|
/-
Copyright (c) 2023 Scott Carnahan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Carnahan
-/
import Mathlib.Algebra.Group.NatPowAssoc
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Induction
import Mathlib.Algebra.Polynomial.Eval
/-!
# Scalar-multiple polynomial evaluation
This file defines polynomial evaluation via scalar multiplication. Our polynomials have
coefficients in a semiring `R`, and we evaluate at a weak form of `R`-algebra, namely an additive
commutative monoid with an action of `R` and a notion of natural number power. This
is a generalization of `Algebra.Polynomial.Eval`.
## Main definitions
* `Polynomial.smeval`: function for evaluating a polynomial with coefficients in a `Semiring`
`R` at an element `x` of an `AddCommMonoid` `S` that has natural number powers and an `R`-action.
* `smeval.linearMap`: the `smeval` function as an `R`-linear map, when `S` is an `R`-module.
* `smeval.algebraMap`: the `smeval` function as an `R`-algebra map, when `S` is an `R`-algebra.
## Main results
* `smeval_monomial`: monomials evaluate as we expect.
* `smeval_add`, `smeval_smul`: linearity of evaluation, given an `R`-module.
* `smeval_mul`, `smeval_comp`: multiplicativity of evaluation, given power-associativity.
* `eval₂_eq_smeval`, `leval_eq_smeval.linearMap`, `aeval = smeval.algebraMap`, etc.: comparisons
## To do
* `smeval_neg` and `smeval_intCast` for `R` a ring and `S` an `AddCommGroup`.
* Nonunital evaluation for polynomials with vanishing constant term for `Pow S ℕ+` (different file?)
-/
namespace Polynomial
section MulActionWithZero
variable {R : Type*} [Semiring R] (r : R) (p : R[X]) {S : Type*} [AddCommMonoid S] [Pow S ℕ]
[MulActionWithZero R S] (x : S)
/-- Scalar multiplication together with taking a natural number power. -/
def smul_pow : ℕ → R → S := fun n r => r • x^n
/-- Evaluate a polynomial `p` in the scalar semiring `R` at an element `x` in the target `S` using
scalar multiple `R`-action. -/
irreducible_def smeval : S := p.sum (smul_pow x)
theorem smeval_eq_sum : p.smeval x = p.sum (smul_pow x) := by rw [smeval_def]
@[simp]
theorem smeval_C : (C r).smeval x = r • x ^ 0 := by
simp only [smeval_eq_sum, smul_pow, zero_smul, sum_C_index]
@[simp]
theorem smeval_monomial (n : ℕ) :
(monomial n r).smeval x = r • x ^ n := by
simp only [smeval_eq_sum, smul_pow, zero_smul, sum_monomial_index]
theorem eval_eq_smeval : p.eval r = p.smeval r := by
rw [eval_eq_sum, smeval_eq_sum]
rfl
theorem eval₂_eq_smeval (R : Type*) [Semiring R] {S : Type*} [Semiring S] (f : R →+* S) (p : R[X])
(x: S) : letI : Module R S := RingHom.toModule f
p.eval₂ f x = p.smeval x := by
letI : Module R S := RingHom.toModule f
rw [smeval_eq_sum, eval₂_eq_sum]
rfl
variable (R)
@[simp]
| Mathlib/Algebra/Polynomial/Smeval.lean | 79 | 80 | theorem smeval_zero : (0 : R[X]).smeval x = 0 := by |
simp only [smeval_eq_sum, smul_pow, sum_zero_index]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Aesop
import Mathlib.Order.BoundedOrder
#align_import order.disjoint from "leanprover-community/mathlib"@"22c4d2ff43714b6ff724b2745ccfdc0f236a4a76"
/-!
# Disjointness and complements
This file defines `Disjoint`, `Codisjoint`, and the `IsCompl` predicate.
## Main declarations
* `Disjoint x y`: two elements of a lattice are disjoint if their `inf` is the bottom element.
* `Codisjoint x y`: two elements of a lattice are codisjoint if their `join` is the top element.
* `IsCompl x y`: In a bounded lattice, predicate for "`x` is a complement of `y`". Note that in a
non distributive lattice, an element can have several complements.
* `ComplementedLattice α`: Typeclass stating that any element of a lattice has a complement.
-/
open Function
variable {α : Type*}
section Disjoint
section PartialOrderBot
variable [PartialOrder α] [OrderBot α] {a b c d : α}
/-- Two elements of a lattice are disjoint if their inf is the bottom element.
(This generalizes disjoint sets, viewed as members of the subset lattice.)
Note that we define this without reference to `⊓`, as this allows us to talk about orders where
the infimum is not unique, or where implementing `Inf` would require additional `Decidable`
arguments. -/
def Disjoint (a b : α) : Prop :=
∀ ⦃x⦄, x ≤ a → x ≤ b → x ≤ ⊥
#align disjoint Disjoint
@[simp]
theorem disjoint_of_subsingleton [Subsingleton α] : Disjoint a b :=
fun x _ _ ↦ le_of_eq (Subsingleton.elim x ⊥)
theorem disjoint_comm : Disjoint a b ↔ Disjoint b a :=
forall_congr' fun _ ↦ forall_swap
#align disjoint.comm disjoint_comm
@[symm]
theorem Disjoint.symm ⦃a b : α⦄ : Disjoint a b → Disjoint b a :=
disjoint_comm.1
#align disjoint.symm Disjoint.symm
theorem symmetric_disjoint : Symmetric (Disjoint : α → α → Prop) :=
Disjoint.symm
#align symmetric_disjoint symmetric_disjoint
@[simp]
theorem disjoint_bot_left : Disjoint ⊥ a := fun _ hbot _ ↦ hbot
#align disjoint_bot_left disjoint_bot_left
@[simp]
theorem disjoint_bot_right : Disjoint a ⊥ := fun _ _ hbot ↦ hbot
#align disjoint_bot_right disjoint_bot_right
theorem Disjoint.mono (h₁ : a ≤ b) (h₂ : c ≤ d) : Disjoint b d → Disjoint a c :=
fun h _ ha hc ↦ h (ha.trans h₁) (hc.trans h₂)
#align disjoint.mono Disjoint.mono
theorem Disjoint.mono_left (h : a ≤ b) : Disjoint b c → Disjoint a c :=
Disjoint.mono h le_rfl
#align disjoint.mono_left Disjoint.mono_left
theorem Disjoint.mono_right : b ≤ c → Disjoint a c → Disjoint a b :=
Disjoint.mono le_rfl
#align disjoint.mono_right Disjoint.mono_right
@[simp]
theorem disjoint_self : Disjoint a a ↔ a = ⊥ :=
⟨fun hd ↦ bot_unique <| hd le_rfl le_rfl, fun h _ ha _ ↦ ha.trans_eq h⟩
#align disjoint_self disjoint_self
/- TODO: Rename `Disjoint.eq_bot` to `Disjoint.inf_eq` and `Disjoint.eq_bot_of_self` to
`Disjoint.eq_bot` -/
alias ⟨Disjoint.eq_bot_of_self, _⟩ := disjoint_self
#align disjoint.eq_bot_of_self Disjoint.eq_bot_of_self
theorem Disjoint.ne (ha : a ≠ ⊥) (hab : Disjoint a b) : a ≠ b :=
fun h ↦ ha <| disjoint_self.1 <| by rwa [← h] at hab
#align disjoint.ne Disjoint.ne
theorem Disjoint.eq_bot_of_le (hab : Disjoint a b) (h : a ≤ b) : a = ⊥ :=
eq_bot_iff.2 <| hab le_rfl h
#align disjoint.eq_bot_of_le Disjoint.eq_bot_of_le
theorem Disjoint.eq_bot_of_ge (hab : Disjoint a b) : b ≤ a → b = ⊥ :=
hab.symm.eq_bot_of_le
#align disjoint.eq_bot_of_ge Disjoint.eq_bot_of_ge
lemma Disjoint.eq_iff (hab : Disjoint a b) : a = b ↔ a = ⊥ ∧ b = ⊥ := by aesop
lemma Disjoint.ne_iff (hab : Disjoint a b) : a ≠ b ↔ a ≠ ⊥ ∨ b ≠ ⊥ :=
hab.eq_iff.not.trans not_and_or
end PartialOrderBot
section PartialBoundedOrder
variable [PartialOrder α] [BoundedOrder α] {a : α}
@[simp]
theorem disjoint_top : Disjoint a ⊤ ↔ a = ⊥ :=
⟨fun h ↦ bot_unique <| h le_rfl le_top, fun h _ ha _ ↦ ha.trans_eq h⟩
#align disjoint_top disjoint_top
@[simp]
theorem top_disjoint : Disjoint ⊤ a ↔ a = ⊥ :=
⟨fun h ↦ bot_unique <| h le_top le_rfl, fun h _ _ ha ↦ ha.trans_eq h⟩
#align top_disjoint top_disjoint
end PartialBoundedOrder
section SemilatticeInfBot
variable [SemilatticeInf α] [OrderBot α] {a b c d : α}
theorem disjoint_iff_inf_le : Disjoint a b ↔ a ⊓ b ≤ ⊥ :=
⟨fun hd ↦ hd inf_le_left inf_le_right, fun h _ ha hb ↦ (le_inf ha hb).trans h⟩
#align disjoint_iff_inf_le disjoint_iff_inf_le
theorem disjoint_iff : Disjoint a b ↔ a ⊓ b = ⊥ :=
disjoint_iff_inf_le.trans le_bot_iff
#align disjoint_iff disjoint_iff
theorem Disjoint.le_bot : Disjoint a b → a ⊓ b ≤ ⊥ :=
disjoint_iff_inf_le.mp
#align disjoint.le_bot Disjoint.le_bot
theorem Disjoint.eq_bot : Disjoint a b → a ⊓ b = ⊥ :=
bot_unique ∘ Disjoint.le_bot
#align disjoint.eq_bot Disjoint.eq_bot
theorem disjoint_assoc : Disjoint (a ⊓ b) c ↔ Disjoint a (b ⊓ c) := by
rw [disjoint_iff_inf_le, disjoint_iff_inf_le, inf_assoc]
#align disjoint_assoc disjoint_assoc
theorem disjoint_left_comm : Disjoint a (b ⊓ c) ↔ Disjoint b (a ⊓ c) := by
simp_rw [disjoint_iff_inf_le, inf_left_comm]
#align disjoint_left_comm disjoint_left_comm
theorem disjoint_right_comm : Disjoint (a ⊓ b) c ↔ Disjoint (a ⊓ c) b := by
simp_rw [disjoint_iff_inf_le, inf_right_comm]
#align disjoint_right_comm disjoint_right_comm
variable (c)
theorem Disjoint.inf_left (h : Disjoint a b) : Disjoint (a ⊓ c) b :=
h.mono_left inf_le_left
#align disjoint.inf_left Disjoint.inf_left
theorem Disjoint.inf_left' (h : Disjoint a b) : Disjoint (c ⊓ a) b :=
h.mono_left inf_le_right
#align disjoint.inf_left' Disjoint.inf_left'
theorem Disjoint.inf_right (h : Disjoint a b) : Disjoint a (b ⊓ c) :=
h.mono_right inf_le_left
#align disjoint.inf_right Disjoint.inf_right
theorem Disjoint.inf_right' (h : Disjoint a b) : Disjoint a (c ⊓ b) :=
h.mono_right inf_le_right
#align disjoint.inf_right' Disjoint.inf_right'
variable {c}
theorem Disjoint.of_disjoint_inf_of_le (h : Disjoint (a ⊓ b) c) (hle : a ≤ c) : Disjoint a b :=
disjoint_iff.2 <| h.eq_bot_of_le <| inf_le_of_left_le hle
#align disjoint.of_disjoint_inf_of_le Disjoint.of_disjoint_inf_of_le
theorem Disjoint.of_disjoint_inf_of_le' (h : Disjoint (a ⊓ b) c) (hle : b ≤ c) : Disjoint a b :=
disjoint_iff.2 <| h.eq_bot_of_le <| inf_le_of_right_le hle
#align disjoint.of_disjoint_inf_of_le' Disjoint.of_disjoint_inf_of_le'
end SemilatticeInfBot
section DistribLatticeBot
variable [DistribLattice α] [OrderBot α] {a b c : α}
@[simp]
theorem disjoint_sup_left : Disjoint (a ⊔ b) c ↔ Disjoint a c ∧ Disjoint b c := by
simp only [disjoint_iff, inf_sup_right, sup_eq_bot_iff]
#align disjoint_sup_left disjoint_sup_left
@[simp]
theorem disjoint_sup_right : Disjoint a (b ⊔ c) ↔ Disjoint a b ∧ Disjoint a c := by
simp only [disjoint_iff, inf_sup_left, sup_eq_bot_iff]
#align disjoint_sup_right disjoint_sup_right
theorem Disjoint.sup_left (ha : Disjoint a c) (hb : Disjoint b c) : Disjoint (a ⊔ b) c :=
disjoint_sup_left.2 ⟨ha, hb⟩
#align disjoint.sup_left Disjoint.sup_left
theorem Disjoint.sup_right (hb : Disjoint a b) (hc : Disjoint a c) : Disjoint a (b ⊔ c) :=
disjoint_sup_right.2 ⟨hb, hc⟩
#align disjoint.sup_right Disjoint.sup_right
theorem Disjoint.left_le_of_le_sup_right (h : a ≤ b ⊔ c) (hd : Disjoint a c) : a ≤ b :=
le_of_inf_le_sup_le (le_trans hd.le_bot bot_le) <| sup_le h le_sup_right
#align disjoint.left_le_of_le_sup_right Disjoint.left_le_of_le_sup_right
theorem Disjoint.left_le_of_le_sup_left (h : a ≤ c ⊔ b) (hd : Disjoint a c) : a ≤ b :=
hd.left_le_of_le_sup_right <| by rwa [sup_comm]
#align disjoint.left_le_of_le_sup_left Disjoint.left_le_of_le_sup_left
end DistribLatticeBot
end Disjoint
section Codisjoint
section PartialOrderTop
variable [PartialOrder α] [OrderTop α] {a b c d : α}
/-- Two elements of a lattice are codisjoint if their sup is the top element.
Note that we define this without reference to `⊔`, as this allows us to talk about orders where
the supremum is not unique, or where implement `Sup` would require additional `Decidable`
arguments. -/
def Codisjoint (a b : α) : Prop :=
∀ ⦃x⦄, a ≤ x → b ≤ x → ⊤ ≤ x
#align codisjoint Codisjoint
theorem Codisjoint_comm : Codisjoint a b ↔ Codisjoint b a :=
forall_congr' fun _ ↦ forall_swap
#align codisjoint.comm Codisjoint_comm
@[symm]
theorem Codisjoint.symm ⦃a b : α⦄ : Codisjoint a b → Codisjoint b a :=
Codisjoint_comm.1
#align codisjoint.symm Codisjoint.symm
theorem symmetric_codisjoint : Symmetric (Codisjoint : α → α → Prop) :=
Codisjoint.symm
#align symmetric_codisjoint symmetric_codisjoint
@[simp]
theorem codisjoint_top_left : Codisjoint ⊤ a := fun _ htop _ ↦ htop
#align codisjoint_top_left codisjoint_top_left
@[simp]
theorem codisjoint_top_right : Codisjoint a ⊤ := fun _ _ htop ↦ htop
#align codisjoint_top_right codisjoint_top_right
theorem Codisjoint.mono (h₁ : a ≤ b) (h₂ : c ≤ d) : Codisjoint a c → Codisjoint b d :=
fun h _ ha hc ↦ h (h₁.trans ha) (h₂.trans hc)
#align codisjoint.mono Codisjoint.mono
theorem Codisjoint.mono_left (h : a ≤ b) : Codisjoint a c → Codisjoint b c :=
Codisjoint.mono h le_rfl
#align codisjoint.mono_left Codisjoint.mono_left
theorem Codisjoint.mono_right : b ≤ c → Codisjoint a b → Codisjoint a c :=
Codisjoint.mono le_rfl
#align codisjoint.mono_right Codisjoint.mono_right
@[simp]
theorem codisjoint_self : Codisjoint a a ↔ a = ⊤ :=
⟨fun hd ↦ top_unique <| hd le_rfl le_rfl, fun h _ ha _ ↦ h.symm.trans_le ha⟩
#align codisjoint_self codisjoint_self
/- TODO: Rename `Codisjoint.eq_top` to `Codisjoint.sup_eq` and `Codisjoint.eq_top_of_self` to
`Codisjoint.eq_top` -/
alias ⟨Codisjoint.eq_top_of_self, _⟩ := codisjoint_self
#align codisjoint.eq_top_of_self Codisjoint.eq_top_of_self
theorem Codisjoint.ne (ha : a ≠ ⊤) (hab : Codisjoint a b) : a ≠ b :=
fun h ↦ ha <| codisjoint_self.1 <| by rwa [← h] at hab
#align codisjoint.ne Codisjoint.ne
theorem Codisjoint.eq_top_of_le (hab : Codisjoint a b) (h : b ≤ a) : a = ⊤ :=
eq_top_iff.2 <| hab le_rfl h
#align codisjoint.eq_top_of_le Codisjoint.eq_top_of_le
theorem Codisjoint.eq_top_of_ge (hab : Codisjoint a b) : a ≤ b → b = ⊤ :=
hab.symm.eq_top_of_le
#align codisjoint.eq_top_of_ge Codisjoint.eq_top_of_ge
lemma Codisjoint.eq_iff (hab : Codisjoint a b) : a = b ↔ a = ⊤ ∧ b = ⊤ := by aesop
lemma Codisjoint.ne_iff (hab : Codisjoint a b) : a ≠ b ↔ a ≠ ⊤ ∨ b ≠ ⊤ :=
hab.eq_iff.not.trans not_and_or
end PartialOrderTop
section PartialBoundedOrder
variable [PartialOrder α] [BoundedOrder α] {a b : α}
@[simp]
theorem codisjoint_bot : Codisjoint a ⊥ ↔ a = ⊤ :=
⟨fun h ↦ top_unique <| h le_rfl bot_le, fun h _ ha _ ↦ h.symm.trans_le ha⟩
#align codisjoint_bot codisjoint_bot
@[simp]
theorem bot_codisjoint : Codisjoint ⊥ a ↔ a = ⊤ :=
⟨fun h ↦ top_unique <| h bot_le le_rfl, fun h _ _ ha ↦ h.symm.trans_le ha⟩
#align bot_codisjoint bot_codisjoint
lemma Codisjoint.ne_bot_of_ne_top (h : Codisjoint a b) (ha : a ≠ ⊤) : b ≠ ⊥ := by
rintro rfl; exact ha <| by simpa using h
lemma Codisjoint.ne_bot_of_ne_top' (h : Codisjoint a b) (hb : b ≠ ⊤) : a ≠ ⊥ := by
rintro rfl; exact hb <| by simpa using h
end PartialBoundedOrder
section SemilatticeSupTop
variable [SemilatticeSup α] [OrderTop α] {a b c d : α}
theorem codisjoint_iff_le_sup : Codisjoint a b ↔ ⊤ ≤ a ⊔ b :=
@disjoint_iff_inf_le αᵒᵈ _ _ _ _
#align codisjoint_iff_le_sup codisjoint_iff_le_sup
theorem codisjoint_iff : Codisjoint a b ↔ a ⊔ b = ⊤ :=
@disjoint_iff αᵒᵈ _ _ _ _
#align codisjoint_iff codisjoint_iff
theorem Codisjoint.top_le : Codisjoint a b → ⊤ ≤ a ⊔ b :=
@Disjoint.le_bot αᵒᵈ _ _ _ _
#align codisjoint.top_le Codisjoint.top_le
theorem Codisjoint.eq_top : Codisjoint a b → a ⊔ b = ⊤ :=
@Disjoint.eq_bot αᵒᵈ _ _ _ _
#align codisjoint.eq_top Codisjoint.eq_top
theorem codisjoint_assoc : Codisjoint (a ⊔ b) c ↔ Codisjoint a (b ⊔ c) :=
@disjoint_assoc αᵒᵈ _ _ _ _ _
#align codisjoint_assoc codisjoint_assoc
theorem codisjoint_left_comm : Codisjoint a (b ⊔ c) ↔ Codisjoint b (a ⊔ c) :=
@disjoint_left_comm αᵒᵈ _ _ _ _ _
#align codisjoint_left_comm codisjoint_left_comm
theorem codisjoint_right_comm : Codisjoint (a ⊔ b) c ↔ Codisjoint (a ⊔ c) b :=
@disjoint_right_comm αᵒᵈ _ _ _ _ _
#align codisjoint_right_comm codisjoint_right_comm
variable (c)
theorem Codisjoint.sup_left (h : Codisjoint a b) : Codisjoint (a ⊔ c) b :=
h.mono_left le_sup_left
#align codisjoint.sup_left Codisjoint.sup_left
theorem Codisjoint.sup_left' (h : Codisjoint a b) : Codisjoint (c ⊔ a) b :=
h.mono_left le_sup_right
#align codisjoint.sup_left' Codisjoint.sup_left'
theorem Codisjoint.sup_right (h : Codisjoint a b) : Codisjoint a (b ⊔ c) :=
h.mono_right le_sup_left
#align codisjoint.sup_right Codisjoint.sup_right
theorem Codisjoint.sup_right' (h : Codisjoint a b) : Codisjoint a (c ⊔ b) :=
h.mono_right le_sup_right
#align codisjoint.sup_right' Codisjoint.sup_right'
variable {c}
theorem Codisjoint.of_codisjoint_sup_of_le (h : Codisjoint (a ⊔ b) c) (hle : c ≤ a) :
Codisjoint a b :=
@Disjoint.of_disjoint_inf_of_le αᵒᵈ _ _ _ _ _ h hle
#align codisjoint.of_codisjoint_sup_of_le Codisjoint.of_codisjoint_sup_of_le
theorem Codisjoint.of_codisjoint_sup_of_le' (h : Codisjoint (a ⊔ b) c) (hle : c ≤ b) :
Codisjoint a b :=
@Disjoint.of_disjoint_inf_of_le' αᵒᵈ _ _ _ _ _ h hle
#align codisjoint.of_codisjoint_sup_of_le' Codisjoint.of_codisjoint_sup_of_le'
end SemilatticeSupTop
section DistribLatticeTop
variable [DistribLattice α] [OrderTop α] {a b c : α}
@[simp]
theorem codisjoint_inf_left : Codisjoint (a ⊓ b) c ↔ Codisjoint a c ∧ Codisjoint b c := by
simp only [codisjoint_iff, sup_inf_right, inf_eq_top_iff]
#align codisjoint_inf_left codisjoint_inf_left
@[simp]
theorem codisjoint_inf_right : Codisjoint a (b ⊓ c) ↔ Codisjoint a b ∧ Codisjoint a c := by
simp only [codisjoint_iff, sup_inf_left, inf_eq_top_iff]
#align codisjoint_inf_right codisjoint_inf_right
theorem Codisjoint.inf_left (ha : Codisjoint a c) (hb : Codisjoint b c) : Codisjoint (a ⊓ b) c :=
codisjoint_inf_left.2 ⟨ha, hb⟩
#align codisjoint.inf_left Codisjoint.inf_left
theorem Codisjoint.inf_right (hb : Codisjoint a b) (hc : Codisjoint a c) : Codisjoint a (b ⊓ c) :=
codisjoint_inf_right.2 ⟨hb, hc⟩
#align codisjoint.inf_right Codisjoint.inf_right
theorem Codisjoint.left_le_of_le_inf_right (h : a ⊓ b ≤ c) (hd : Codisjoint b c) : a ≤ c :=
@Disjoint.left_le_of_le_sup_right αᵒᵈ _ _ _ _ _ h hd.symm
#align codisjoint.left_le_of_le_inf_right Codisjoint.left_le_of_le_inf_right
theorem Codisjoint.left_le_of_le_inf_left (h : b ⊓ a ≤ c) (hd : Codisjoint b c) : a ≤ c :=
hd.left_le_of_le_inf_right <| by rwa [inf_comm]
#align codisjoint.left_le_of_le_inf_left Codisjoint.left_le_of_le_inf_left
end DistribLatticeTop
end Codisjoint
open OrderDual
theorem Disjoint.dual [SemilatticeInf α] [OrderBot α] {a b : α} :
Disjoint a b → Codisjoint (toDual a) (toDual b) :=
id
#align disjoint.dual Disjoint.dual
theorem Codisjoint.dual [SemilatticeSup α] [OrderTop α] {a b : α} :
Codisjoint a b → Disjoint (toDual a) (toDual b) :=
id
#align codisjoint.dual Codisjoint.dual
@[simp]
theorem disjoint_toDual_iff [SemilatticeSup α] [OrderTop α] {a b : α} :
Disjoint (toDual a) (toDual b) ↔ Codisjoint a b :=
Iff.rfl
#align disjoint_to_dual_iff disjoint_toDual_iff
@[simp]
theorem disjoint_ofDual_iff [SemilatticeInf α] [OrderBot α] {a b : αᵒᵈ} :
Disjoint (ofDual a) (ofDual b) ↔ Codisjoint a b :=
Iff.rfl
#align disjoint_of_dual_iff disjoint_ofDual_iff
@[simp]
theorem codisjoint_toDual_iff [SemilatticeInf α] [OrderBot α] {a b : α} :
Codisjoint (toDual a) (toDual b) ↔ Disjoint a b :=
Iff.rfl
#align codisjoint_to_dual_iff codisjoint_toDual_iff
@[simp]
theorem codisjoint_ofDual_iff [SemilatticeSup α] [OrderTop α] {a b : αᵒᵈ} :
Codisjoint (ofDual a) (ofDual b) ↔ Disjoint a b :=
Iff.rfl
#align codisjoint_of_dual_iff codisjoint_ofDual_iff
section DistribLattice
variable [DistribLattice α] [BoundedOrder α] {a b c : α}
| Mathlib/Order/Disjoint.lean | 459 | 461 | theorem Disjoint.le_of_codisjoint (hab : Disjoint a b) (hbc : Codisjoint b c) : a ≤ c := by |
rw [← @inf_top_eq _ _ _ a, ← @bot_sup_eq _ _ _ c, ← hab.eq_bot, ← hbc.eq_top, sup_inf_right]
exact inf_le_inf_right _ le_sup_left
|
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Andrew Zipperer, Haitao Zhang, Minchao Wu, Yury Kudryashov
-/
import Mathlib.Data.Set.Prod
import Mathlib.Logic.Function.Conjugate
#align_import data.set.function from "leanprover-community/mathlib"@"996b0ff959da753a555053a480f36e5f264d4207"
/-!
# Functions over sets
## Main definitions
### Predicate
* `Set.EqOn f₁ f₂ s` : functions `f₁` and `f₂` are equal at every point of `s`;
* `Set.MapsTo f s t` : `f` sends every point of `s` to a point of `t`;
* `Set.InjOn f s` : restriction of `f` to `s` is injective;
* `Set.SurjOn f s t` : every point in `s` has a preimage in `s`;
* `Set.BijOn f s t` : `f` is a bijection between `s` and `t`;
* `Set.LeftInvOn f' f s` : for every `x ∈ s` we have `f' (f x) = x`;
* `Set.RightInvOn f' f t` : for every `y ∈ t` we have `f (f' y) = y`;
* `Set.InvOn f' f s t` : `f'` is a two-side inverse of `f` on `s` and `t`, i.e.
we have `Set.LeftInvOn f' f s` and `Set.RightInvOn f' f t`.
### Functions
* `Set.restrict f s` : restrict the domain of `f` to the set `s`;
* `Set.codRestrict f s h` : given `h : ∀ x, f x ∈ s`, restrict the codomain of `f` to the set `s`;
* `Set.MapsTo.restrict f s t h`: given `h : MapsTo f s t`, restrict the domain of `f` to `s`
and the codomain to `t`.
-/
variable {α β γ : Type*} {ι : Sort*} {π : α → Type*}
open Equiv Equiv.Perm Function
namespace Set
/-! ### Restrict -/
section restrict
/-- Restrict domain of a function `f` to a set `s`. Same as `Subtype.restrict` but this version
takes an argument `↥s` instead of `Subtype s`. -/
def restrict (s : Set α) (f : ∀ a : α, π a) : ∀ a : s, π a := fun x => f x
#align set.restrict Set.restrict
theorem restrict_eq (f : α → β) (s : Set α) : s.restrict f = f ∘ Subtype.val :=
rfl
#align set.restrict_eq Set.restrict_eq
@[simp]
theorem restrict_apply (f : α → β) (s : Set α) (x : s) : s.restrict f x = f x :=
rfl
#align set.restrict_apply Set.restrict_apply
theorem restrict_eq_iff {f : ∀ a, π a} {s : Set α} {g : ∀ a : s, π a} :
restrict s f = g ↔ ∀ (a) (ha : a ∈ s), f a = g ⟨a, ha⟩ :=
funext_iff.trans Subtype.forall
#align set.restrict_eq_iff Set.restrict_eq_iff
theorem eq_restrict_iff {s : Set α} {f : ∀ a : s, π a} {g : ∀ a, π a} :
f = restrict s g ↔ ∀ (a) (ha : a ∈ s), f ⟨a, ha⟩ = g a :=
funext_iff.trans Subtype.forall
#align set.eq_restrict_iff Set.eq_restrict_iff
@[simp]
theorem range_restrict (f : α → β) (s : Set α) : Set.range (s.restrict f) = f '' s :=
(range_comp _ _).trans <| congr_arg (f '' ·) Subtype.range_coe
#align set.range_restrict Set.range_restrict
theorem image_restrict (f : α → β) (s t : Set α) :
s.restrict f '' (Subtype.val ⁻¹' t) = f '' (t ∩ s) := by
rw [restrict_eq, image_comp, image_preimage_eq_inter_range, Subtype.range_coe]
#align set.image_restrict Set.image_restrict
@[simp]
theorem restrict_dite {s : Set α} [∀ x, Decidable (x ∈ s)] (f : ∀ a ∈ s, β)
(g : ∀ a ∉ s, β) :
(s.restrict fun a => if h : a ∈ s then f a h else g a h) = (fun a : s => f a a.2) :=
funext fun a => dif_pos a.2
#align set.restrict_dite Set.restrict_dite
@[simp]
theorem restrict_dite_compl {s : Set α} [∀ x, Decidable (x ∈ s)] (f : ∀ a ∈ s, β)
(g : ∀ a ∉ s, β) :
(sᶜ.restrict fun a => if h : a ∈ s then f a h else g a h) = (fun a : (sᶜ : Set α) => g a a.2) :=
funext fun a => dif_neg a.2
#align set.restrict_dite_compl Set.restrict_dite_compl
@[simp]
theorem restrict_ite (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
(s.restrict fun a => if a ∈ s then f a else g a) = s.restrict f :=
restrict_dite _ _
#align set.restrict_ite Set.restrict_ite
@[simp]
theorem restrict_ite_compl (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
(sᶜ.restrict fun a => if a ∈ s then f a else g a) = sᶜ.restrict g :=
restrict_dite_compl _ _
#align set.restrict_ite_compl Set.restrict_ite_compl
@[simp]
theorem restrict_piecewise (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
s.restrict (piecewise s f g) = s.restrict f :=
restrict_ite _ _ _
#align set.restrict_piecewise Set.restrict_piecewise
@[simp]
theorem restrict_piecewise_compl (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
sᶜ.restrict (piecewise s f g) = sᶜ.restrict g :=
restrict_ite_compl _ _ _
#align set.restrict_piecewise_compl Set.restrict_piecewise_compl
theorem restrict_extend_range (f : α → β) (g : α → γ) (g' : β → γ) :
(range f).restrict (extend f g g') = fun x => g x.coe_prop.choose := by
classical
exact restrict_dite _ _
#align set.restrict_extend_range Set.restrict_extend_range
@[simp]
theorem restrict_extend_compl_range (f : α → β) (g : α → γ) (g' : β → γ) :
(range f)ᶜ.restrict (extend f g g') = g' ∘ Subtype.val := by
classical
exact restrict_dite_compl _ _
#align set.restrict_extend_compl_range Set.restrict_extend_compl_range
theorem range_extend_subset (f : α → β) (g : α → γ) (g' : β → γ) :
range (extend f g g') ⊆ range g ∪ g' '' (range f)ᶜ := by
classical
rintro _ ⟨y, rfl⟩
rw [extend_def]
split_ifs with h
exacts [Or.inl (mem_range_self _), Or.inr (mem_image_of_mem _ h)]
#align set.range_extend_subset Set.range_extend_subset
theorem range_extend {f : α → β} (hf : Injective f) (g : α → γ) (g' : β → γ) :
range (extend f g g') = range g ∪ g' '' (range f)ᶜ := by
refine (range_extend_subset _ _ _).antisymm ?_
rintro z (⟨x, rfl⟩ | ⟨y, hy, rfl⟩)
exacts [⟨f x, hf.extend_apply _ _ _⟩, ⟨y, extend_apply' _ _ _ hy⟩]
#align set.range_extend Set.range_extend
/-- Restrict codomain of a function `f` to a set `s`. Same as `Subtype.coind` but this version
has codomain `↥s` instead of `Subtype s`. -/
def codRestrict (f : ι → α) (s : Set α) (h : ∀ x, f x ∈ s) : ι → s := fun x => ⟨f x, h x⟩
#align set.cod_restrict Set.codRestrict
@[simp]
theorem val_codRestrict_apply (f : ι → α) (s : Set α) (h : ∀ x, f x ∈ s) (x : ι) :
(codRestrict f s h x : α) = f x :=
rfl
#align set.coe_cod_restrict_apply Set.val_codRestrict_apply
@[simp]
theorem restrict_comp_codRestrict {f : ι → α} {g : α → β} {b : Set α} (h : ∀ x, f x ∈ b) :
b.restrict g ∘ b.codRestrict f h = g ∘ f :=
rfl
#align set.restrict_comp_cod_restrict Set.restrict_comp_codRestrict
@[simp]
theorem injective_codRestrict {f : ι → α} {s : Set α} (h : ∀ x, f x ∈ s) :
Injective (codRestrict f s h) ↔ Injective f := by
simp only [Injective, Subtype.ext_iff, val_codRestrict_apply]
#align set.injective_cod_restrict Set.injective_codRestrict
alias ⟨_, _root_.Function.Injective.codRestrict⟩ := injective_codRestrict
#align function.injective.cod_restrict Function.Injective.codRestrict
end restrict
/-! ### Equality on a set -/
section equality
variable {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {p : Set γ} {f f₁ f₂ f₃ : α → β} {g g₁ g₂ : β → γ}
{f' f₁' f₂' : β → α} {g' : γ → β} {a : α} {b : β}
@[simp]
theorem eqOn_empty (f₁ f₂ : α → β) : EqOn f₁ f₂ ∅ := fun _ => False.elim
#align set.eq_on_empty Set.eqOn_empty
@[simp]
theorem eqOn_singleton : Set.EqOn f₁ f₂ {a} ↔ f₁ a = f₂ a := by
simp [Set.EqOn]
#align set.eq_on_singleton Set.eqOn_singleton
@[simp]
theorem eqOn_univ (f₁ f₂ : α → β) : EqOn f₁ f₂ univ ↔ f₁ = f₂ := by
simp [EqOn, funext_iff]
@[simp]
theorem restrict_eq_restrict_iff : restrict s f₁ = restrict s f₂ ↔ EqOn f₁ f₂ s :=
restrict_eq_iff
#align set.restrict_eq_restrict_iff Set.restrict_eq_restrict_iff
@[symm]
theorem EqOn.symm (h : EqOn f₁ f₂ s) : EqOn f₂ f₁ s := fun _ hx => (h hx).symm
#align set.eq_on.symm Set.EqOn.symm
theorem eqOn_comm : EqOn f₁ f₂ s ↔ EqOn f₂ f₁ s :=
⟨EqOn.symm, EqOn.symm⟩
#align set.eq_on_comm Set.eqOn_comm
-- This can not be tagged as `@[refl]` with the current argument order.
-- See note below at `EqOn.trans`.
theorem eqOn_refl (f : α → β) (s : Set α) : EqOn f f s := fun _ _ => rfl
#align set.eq_on_refl Set.eqOn_refl
-- Note: this was formerly tagged with `@[trans]`, and although the `trans` attribute accepted it
-- the `trans` tactic could not use it.
-- An update to the trans tactic coming in mathlib4#7014 will reject this attribute.
-- It can be restored by changing the argument order from `EqOn f₁ f₂ s` to `EqOn s f₁ f₂`.
-- This change will be made separately: [zulip](https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Reordering.20arguments.20of.20.60Set.2EEqOn.60/near/390467581).
theorem EqOn.trans (h₁ : EqOn f₁ f₂ s) (h₂ : EqOn f₂ f₃ s) : EqOn f₁ f₃ s := fun _ hx =>
(h₁ hx).trans (h₂ hx)
#align set.eq_on.trans Set.EqOn.trans
theorem EqOn.image_eq (heq : EqOn f₁ f₂ s) : f₁ '' s = f₂ '' s :=
image_congr heq
#align set.eq_on.image_eq Set.EqOn.image_eq
/-- Variant of `EqOn.image_eq`, for one function being the identity. -/
theorem EqOn.image_eq_self {f : α → α} (h : Set.EqOn f id s) : f '' s = s := by
rw [h.image_eq, image_id]
theorem EqOn.inter_preimage_eq (heq : EqOn f₁ f₂ s) (t : Set β) : s ∩ f₁ ⁻¹' t = s ∩ f₂ ⁻¹' t :=
ext fun x => and_congr_right_iff.2 fun hx => by rw [mem_preimage, mem_preimage, heq hx]
#align set.eq_on.inter_preimage_eq Set.EqOn.inter_preimage_eq
theorem EqOn.mono (hs : s₁ ⊆ s₂) (hf : EqOn f₁ f₂ s₂) : EqOn f₁ f₂ s₁ := fun _ hx => hf (hs hx)
#align set.eq_on.mono Set.EqOn.mono
@[simp]
theorem eqOn_union : EqOn f₁ f₂ (s₁ ∪ s₂) ↔ EqOn f₁ f₂ s₁ ∧ EqOn f₁ f₂ s₂ :=
forall₂_or_left
#align set.eq_on_union Set.eqOn_union
theorem EqOn.union (h₁ : EqOn f₁ f₂ s₁) (h₂ : EqOn f₁ f₂ s₂) : EqOn f₁ f₂ (s₁ ∪ s₂) :=
eqOn_union.2 ⟨h₁, h₂⟩
#align set.eq_on.union Set.EqOn.union
theorem EqOn.comp_left (h : s.EqOn f₁ f₂) : s.EqOn (g ∘ f₁) (g ∘ f₂) := fun _ ha =>
congr_arg _ <| h ha
#align set.eq_on.comp_left Set.EqOn.comp_left
@[simp]
theorem eqOn_range {ι : Sort*} {f : ι → α} {g₁ g₂ : α → β} :
EqOn g₁ g₂ (range f) ↔ g₁ ∘ f = g₂ ∘ f :=
forall_mem_range.trans <| funext_iff.symm
#align set.eq_on_range Set.eqOn_range
alias ⟨EqOn.comp_eq, _⟩ := eqOn_range
#align set.eq_on.comp_eq Set.EqOn.comp_eq
end equality
/-! ### Congruence lemmas for monotonicity and antitonicity -/
section Order
variable {s : Set α} {f₁ f₂ : α → β} [Preorder α] [Preorder β]
theorem _root_.MonotoneOn.congr (h₁ : MonotoneOn f₁ s) (h : s.EqOn f₁ f₂) : MonotoneOn f₂ s := by
intro a ha b hb hab
rw [← h ha, ← h hb]
exact h₁ ha hb hab
#align monotone_on.congr MonotoneOn.congr
theorem _root_.AntitoneOn.congr (h₁ : AntitoneOn f₁ s) (h : s.EqOn f₁ f₂) : AntitoneOn f₂ s :=
h₁.dual_right.congr h
#align antitone_on.congr AntitoneOn.congr
theorem _root_.StrictMonoOn.congr (h₁ : StrictMonoOn f₁ s) (h : s.EqOn f₁ f₂) :
StrictMonoOn f₂ s := by
intro a ha b hb hab
rw [← h ha, ← h hb]
exact h₁ ha hb hab
#align strict_mono_on.congr StrictMonoOn.congr
theorem _root_.StrictAntiOn.congr (h₁ : StrictAntiOn f₁ s) (h : s.EqOn f₁ f₂) : StrictAntiOn f₂ s :=
h₁.dual_right.congr h
#align strict_anti_on.congr StrictAntiOn.congr
theorem EqOn.congr_monotoneOn (h : s.EqOn f₁ f₂) : MonotoneOn f₁ s ↔ MonotoneOn f₂ s :=
⟨fun h₁ => h₁.congr h, fun h₂ => h₂.congr h.symm⟩
#align set.eq_on.congr_monotone_on Set.EqOn.congr_monotoneOn
theorem EqOn.congr_antitoneOn (h : s.EqOn f₁ f₂) : AntitoneOn f₁ s ↔ AntitoneOn f₂ s :=
⟨fun h₁ => h₁.congr h, fun h₂ => h₂.congr h.symm⟩
#align set.eq_on.congr_antitone_on Set.EqOn.congr_antitoneOn
theorem EqOn.congr_strictMonoOn (h : s.EqOn f₁ f₂) : StrictMonoOn f₁ s ↔ StrictMonoOn f₂ s :=
⟨fun h₁ => h₁.congr h, fun h₂ => h₂.congr h.symm⟩
#align set.eq_on.congr_strict_mono_on Set.EqOn.congr_strictMonoOn
theorem EqOn.congr_strictAntiOn (h : s.EqOn f₁ f₂) : StrictAntiOn f₁ s ↔ StrictAntiOn f₂ s :=
⟨fun h₁ => h₁.congr h, fun h₂ => h₂.congr h.symm⟩
#align set.eq_on.congr_strict_anti_on Set.EqOn.congr_strictAntiOn
end Order
/-! ### Monotonicity lemmas-/
section Mono
variable {s s₁ s₂ : Set α} {f f₁ f₂ : α → β} [Preorder α] [Preorder β]
theorem _root_.MonotoneOn.mono (h : MonotoneOn f s) (h' : s₂ ⊆ s) : MonotoneOn f s₂ :=
fun _ hx _ hy => h (h' hx) (h' hy)
#align monotone_on.mono MonotoneOn.mono
theorem _root_.AntitoneOn.mono (h : AntitoneOn f s) (h' : s₂ ⊆ s) : AntitoneOn f s₂ :=
fun _ hx _ hy => h (h' hx) (h' hy)
#align antitone_on.mono AntitoneOn.mono
theorem _root_.StrictMonoOn.mono (h : StrictMonoOn f s) (h' : s₂ ⊆ s) : StrictMonoOn f s₂ :=
fun _ hx _ hy => h (h' hx) (h' hy)
#align strict_mono_on.mono StrictMonoOn.mono
theorem _root_.StrictAntiOn.mono (h : StrictAntiOn f s) (h' : s₂ ⊆ s) : StrictAntiOn f s₂ :=
fun _ hx _ hy => h (h' hx) (h' hy)
#align strict_anti_on.mono StrictAntiOn.mono
protected theorem _root_.MonotoneOn.monotone (h : MonotoneOn f s) :
Monotone (f ∘ Subtype.val : s → β) :=
fun x y hle => h x.coe_prop y.coe_prop hle
#align monotone_on.monotone MonotoneOn.monotone
protected theorem _root_.AntitoneOn.monotone (h : AntitoneOn f s) :
Antitone (f ∘ Subtype.val : s → β) :=
fun x y hle => h x.coe_prop y.coe_prop hle
#align antitone_on.monotone AntitoneOn.monotone
protected theorem _root_.StrictMonoOn.strictMono (h : StrictMonoOn f s) :
StrictMono (f ∘ Subtype.val : s → β) :=
fun x y hlt => h x.coe_prop y.coe_prop hlt
#align strict_mono_on.strict_mono StrictMonoOn.strictMono
protected theorem _root_.StrictAntiOn.strictAnti (h : StrictAntiOn f s) :
StrictAnti (f ∘ Subtype.val : s → β) :=
fun x y hlt => h x.coe_prop y.coe_prop hlt
#align strict_anti_on.strict_anti StrictAntiOn.strictAnti
end Mono
variable {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {p : Set γ} {f f₁ f₂ f₃ : α → β} {g g₁ g₂ : β → γ}
{f' f₁' f₂' : β → α} {g' : γ → β} {a : α} {b : β}
section MapsTo
theorem MapsTo.restrict_commutes (f : α → β) (s : Set α) (t : Set β) (h : MapsTo f s t) :
Subtype.val ∘ h.restrict f s t = f ∘ Subtype.val :=
rfl
@[simp]
theorem MapsTo.val_restrict_apply (h : MapsTo f s t) (x : s) : (h.restrict f s t x : β) = f x :=
rfl
#align set.maps_to.coe_restrict_apply Set.MapsTo.val_restrict_apply
theorem MapsTo.coe_iterate_restrict {f : α → α} (h : MapsTo f s s) (x : s) (k : ℕ) :
h.restrict^[k] x = f^[k] x := by
induction' k with k ih; · simp
simp only [iterate_succ', comp_apply, val_restrict_apply, ih]
/-- Restricting the domain and then the codomain is the same as `MapsTo.restrict`. -/
@[simp]
theorem codRestrict_restrict (h : ∀ x : s, f x ∈ t) :
codRestrict (s.restrict f) t h = MapsTo.restrict f s t fun x hx => h ⟨x, hx⟩ :=
rfl
#align set.cod_restrict_restrict Set.codRestrict_restrict
/-- Reverse of `Set.codRestrict_restrict`. -/
theorem MapsTo.restrict_eq_codRestrict (h : MapsTo f s t) :
h.restrict f s t = codRestrict (s.restrict f) t fun x => h x.2 :=
rfl
#align set.maps_to.restrict_eq_cod_restrict Set.MapsTo.restrict_eq_codRestrict
theorem MapsTo.coe_restrict (h : Set.MapsTo f s t) :
Subtype.val ∘ h.restrict f s t = s.restrict f :=
rfl
#align set.maps_to.coe_restrict Set.MapsTo.coe_restrict
theorem MapsTo.range_restrict (f : α → β) (s : Set α) (t : Set β) (h : MapsTo f s t) :
range (h.restrict f s t) = Subtype.val ⁻¹' (f '' s) :=
Set.range_subtype_map f h
#align set.maps_to.range_restrict Set.MapsTo.range_restrict
theorem mapsTo_iff_exists_map_subtype : MapsTo f s t ↔ ∃ g : s → t, ∀ x : s, f x = g x :=
⟨fun h => ⟨h.restrict f s t, fun _ => rfl⟩, fun ⟨g, hg⟩ x hx => by
erw [hg ⟨x, hx⟩]
apply Subtype.coe_prop⟩
#align set.maps_to_iff_exists_map_subtype Set.mapsTo_iff_exists_map_subtype
theorem mapsTo' : MapsTo f s t ↔ f '' s ⊆ t :=
image_subset_iff.symm
#align set.maps_to' Set.mapsTo'
theorem mapsTo_prod_map_diagonal : MapsTo (Prod.map f f) (diagonal α) (diagonal β) :=
diagonal_subset_iff.2 fun _ => rfl
#align set.maps_to_prod_map_diagonal Set.mapsTo_prod_map_diagonal
theorem MapsTo.subset_preimage {f : α → β} {s : Set α} {t : Set β} (hf : MapsTo f s t) :
s ⊆ f ⁻¹' t :=
hf
#align set.maps_to.subset_preimage Set.MapsTo.subset_preimage
@[simp]
theorem mapsTo_singleton {x : α} : MapsTo f {x} t ↔ f x ∈ t :=
singleton_subset_iff
#align set.maps_to_singleton Set.mapsTo_singleton
theorem mapsTo_empty (f : α → β) (t : Set β) : MapsTo f ∅ t :=
empty_subset _
#align set.maps_to_empty Set.mapsTo_empty
@[simp] theorem mapsTo_empty_iff : MapsTo f s ∅ ↔ s = ∅ := by
simp [mapsTo', subset_empty_iff]
/-- If `f` maps `s` to `t` and `s` is non-empty, `t` is non-empty. -/
theorem MapsTo.nonempty (h : MapsTo f s t) (hs : s.Nonempty) : t.Nonempty :=
(hs.image f).mono (mapsTo'.mp h)
theorem MapsTo.image_subset (h : MapsTo f s t) : f '' s ⊆ t :=
mapsTo'.1 h
#align set.maps_to.image_subset Set.MapsTo.image_subset
theorem MapsTo.congr (h₁ : MapsTo f₁ s t) (h : EqOn f₁ f₂ s) : MapsTo f₂ s t := fun _ hx =>
h hx ▸ h₁ hx
#align set.maps_to.congr Set.MapsTo.congr
theorem EqOn.comp_right (hg : t.EqOn g₁ g₂) (hf : s.MapsTo f t) : s.EqOn (g₁ ∘ f) (g₂ ∘ f) :=
fun _ ha => hg <| hf ha
#align set.eq_on.comp_right Set.EqOn.comp_right
theorem EqOn.mapsTo_iff (H : EqOn f₁ f₂ s) : MapsTo f₁ s t ↔ MapsTo f₂ s t :=
⟨fun h => h.congr H, fun h => h.congr H.symm⟩
#align set.eq_on.maps_to_iff Set.EqOn.mapsTo_iff
theorem MapsTo.comp (h₁ : MapsTo g t p) (h₂ : MapsTo f s t) : MapsTo (g ∘ f) s p := fun _ h =>
h₁ (h₂ h)
#align set.maps_to.comp Set.MapsTo.comp
theorem mapsTo_id (s : Set α) : MapsTo id s s := fun _ => id
#align set.maps_to_id Set.mapsTo_id
theorem MapsTo.iterate {f : α → α} {s : Set α} (h : MapsTo f s s) : ∀ n, MapsTo f^[n] s s
| 0 => fun _ => id
| n + 1 => (MapsTo.iterate h n).comp h
#align set.maps_to.iterate Set.MapsTo.iterate
theorem MapsTo.iterate_restrict {f : α → α} {s : Set α} (h : MapsTo f s s) (n : ℕ) :
(h.restrict f s s)^[n] = (h.iterate n).restrict _ _ _ := by
funext x
rw [Subtype.ext_iff, MapsTo.val_restrict_apply]
induction' n with n ihn generalizing x
· rfl
· simp [Nat.iterate, ihn]
#align set.maps_to.iterate_restrict Set.MapsTo.iterate_restrict
lemma mapsTo_of_subsingleton' [Subsingleton β] (f : α → β) (h : s.Nonempty → t.Nonempty) :
MapsTo f s t :=
fun a ha ↦ Subsingleton.mem_iff_nonempty.2 <| h ⟨a, ha⟩
#align set.maps_to_of_subsingleton' Set.mapsTo_of_subsingleton'
lemma mapsTo_of_subsingleton [Subsingleton α] (f : α → α) (s : Set α) : MapsTo f s s :=
mapsTo_of_subsingleton' _ id
#align set.maps_to_of_subsingleton Set.mapsTo_of_subsingleton
theorem MapsTo.mono (hf : MapsTo f s₁ t₁) (hs : s₂ ⊆ s₁) (ht : t₁ ⊆ t₂) : MapsTo f s₂ t₂ :=
fun _ hx => ht (hf <| hs hx)
#align set.maps_to.mono Set.MapsTo.mono
theorem MapsTo.mono_left (hf : MapsTo f s₁ t) (hs : s₂ ⊆ s₁) : MapsTo f s₂ t := fun _ hx =>
hf (hs hx)
#align set.maps_to.mono_left Set.MapsTo.mono_left
theorem MapsTo.mono_right (hf : MapsTo f s t₁) (ht : t₁ ⊆ t₂) : MapsTo f s t₂ := fun _ hx =>
ht (hf hx)
#align set.maps_to.mono_right Set.MapsTo.mono_right
theorem MapsTo.union_union (h₁ : MapsTo f s₁ t₁) (h₂ : MapsTo f s₂ t₂) :
MapsTo f (s₁ ∪ s₂) (t₁ ∪ t₂) := fun _ hx =>
hx.elim (fun hx => Or.inl <| h₁ hx) fun hx => Or.inr <| h₂ hx
#align set.maps_to.union_union Set.MapsTo.union_union
theorem MapsTo.union (h₁ : MapsTo f s₁ t) (h₂ : MapsTo f s₂ t) : MapsTo f (s₁ ∪ s₂) t :=
union_self t ▸ h₁.union_union h₂
#align set.maps_to.union Set.MapsTo.union
@[simp]
theorem mapsTo_union : MapsTo f (s₁ ∪ s₂) t ↔ MapsTo f s₁ t ∧ MapsTo f s₂ t :=
⟨fun h =>
⟨h.mono subset_union_left (Subset.refl t),
h.mono subset_union_right (Subset.refl t)⟩,
fun h => h.1.union h.2⟩
#align set.maps_to_union Set.mapsTo_union
theorem MapsTo.inter (h₁ : MapsTo f s t₁) (h₂ : MapsTo f s t₂) : MapsTo f s (t₁ ∩ t₂) := fun _ hx =>
⟨h₁ hx, h₂ hx⟩
#align set.maps_to.inter Set.MapsTo.inter
theorem MapsTo.inter_inter (h₁ : MapsTo f s₁ t₁) (h₂ : MapsTo f s₂ t₂) :
MapsTo f (s₁ ∩ s₂) (t₁ ∩ t₂) := fun _ hx => ⟨h₁ hx.1, h₂ hx.2⟩
#align set.maps_to.inter_inter Set.MapsTo.inter_inter
@[simp]
theorem mapsTo_inter : MapsTo f s (t₁ ∩ t₂) ↔ MapsTo f s t₁ ∧ MapsTo f s t₂ :=
⟨fun h =>
⟨h.mono (Subset.refl s) inter_subset_left,
h.mono (Subset.refl s) inter_subset_right⟩,
fun h => h.1.inter h.2⟩
#align set.maps_to_inter Set.mapsTo_inter
theorem mapsTo_univ (f : α → β) (s : Set α) : MapsTo f s univ := fun _ _ => trivial
#align set.maps_to_univ Set.mapsTo_univ
theorem mapsTo_range (f : α → β) (s : Set α) : MapsTo f s (range f) :=
(mapsTo_image f s).mono (Subset.refl s) (image_subset_range _ _)
#align set.maps_to_range Set.mapsTo_range
@[simp]
theorem mapsTo_image_iff {f : α → β} {g : γ → α} {s : Set γ} {t : Set β} :
MapsTo f (g '' s) t ↔ MapsTo (f ∘ g) s t :=
⟨fun h c hc => h ⟨c, hc, rfl⟩, fun h _ ⟨_, hc⟩ => hc.2 ▸ h hc.1⟩
#align set.maps_image_to Set.mapsTo_image_iff
@[deprecated (since := "2023-12-25")]
lemma maps_image_to (f : α → β) (g : γ → α) (s : Set γ) (t : Set β) :
MapsTo f (g '' s) t ↔ MapsTo (f ∘ g) s t :=
mapsTo_image_iff
lemma MapsTo.comp_left (g : β → γ) (hf : MapsTo f s t) : MapsTo (g ∘ f) s (g '' t) :=
fun x hx ↦ ⟨f x, hf hx, rfl⟩
#align set.maps_to.comp_left Set.MapsTo.comp_left
lemma MapsTo.comp_right {s : Set β} {t : Set γ} (hg : MapsTo g s t) (f : α → β) :
MapsTo (g ∘ f) (f ⁻¹' s) t := fun _ hx ↦ hg hx
#align set.maps_to.comp_right Set.MapsTo.comp_right
@[simp]
lemma mapsTo_univ_iff : MapsTo f univ t ↔ ∀ x, f x ∈ t :=
⟨fun h _ => h (mem_univ _), fun h x _ => h x⟩
@[deprecated (since := "2023-12-25")]
theorem maps_univ_to (f : α → β) (s : Set β) : MapsTo f univ s ↔ ∀ a, f a ∈ s :=
mapsTo_univ_iff
#align set.maps_univ_to Set.maps_univ_to
@[simp]
lemma mapsTo_range_iff {g : ι → α} : MapsTo f (range g) t ↔ ∀ i, f (g i) ∈ t :=
forall_mem_range
@[deprecated mapsTo_range_iff (since := "2023-12-25")]
theorem maps_range_to (f : α → β) (g : γ → α) (s : Set β) :
MapsTo f (range g) s ↔ MapsTo (f ∘ g) univ s := by rw [← image_univ, mapsTo_image_iff]
#align set.maps_range_to Set.maps_range_to
theorem surjective_mapsTo_image_restrict (f : α → β) (s : Set α) :
Surjective ((mapsTo_image f s).restrict f s (f '' s)) := fun ⟨_, x, hs, hxy⟩ =>
⟨⟨x, hs⟩, Subtype.ext hxy⟩
#align set.surjective_maps_to_image_restrict Set.surjective_mapsTo_image_restrict
theorem MapsTo.mem_iff (h : MapsTo f s t) (hc : MapsTo f sᶜ tᶜ) {x} : f x ∈ t ↔ x ∈ s :=
⟨fun ht => by_contra fun hs => hc hs ht, fun hx => h hx⟩
#align set.maps_to.mem_iff Set.MapsTo.mem_iff
end MapsTo
/-! ### Restriction onto preimage -/
section
variable (t)
variable (f s) in
theorem image_restrictPreimage :
t.restrictPreimage f '' (Subtype.val ⁻¹' s) = Subtype.val ⁻¹' (f '' s) := by
delta Set.restrictPreimage
rw [← (Subtype.coe_injective).image_injective.eq_iff, ← image_comp, MapsTo.restrict_commutes,
image_comp, Subtype.image_preimage_coe, Subtype.image_preimage_coe, image_preimage_inter]
variable (f) in
theorem range_restrictPreimage : range (t.restrictPreimage f) = Subtype.val ⁻¹' range f := by
simp only [← image_univ, ← image_restrictPreimage, preimage_univ]
#align set.range_restrict_preimage Set.range_restrictPreimage
variable {U : ι → Set β}
lemma restrictPreimage_injective (hf : Injective f) : Injective (t.restrictPreimage f) :=
fun _ _ e => Subtype.coe_injective <| hf <| Subtype.mk.inj e
#align set.restrict_preimage_injective Set.restrictPreimage_injective
lemma restrictPreimage_surjective (hf : Surjective f) : Surjective (t.restrictPreimage f) :=
fun x => ⟨⟨_, ((hf x).choose_spec.symm ▸ x.2 : _ ∈ t)⟩, Subtype.ext (hf x).choose_spec⟩
#align set.restrict_preimage_surjective Set.restrictPreimage_surjective
lemma restrictPreimage_bijective (hf : Bijective f) : Bijective (t.restrictPreimage f) :=
⟨t.restrictPreimage_injective hf.1, t.restrictPreimage_surjective hf.2⟩
#align set.restrict_preimage_bijective Set.restrictPreimage_bijective
alias _root_.Function.Injective.restrictPreimage := Set.restrictPreimage_injective
alias _root_.Function.Surjective.restrictPreimage := Set.restrictPreimage_surjective
alias _root_.Function.Bijective.restrictPreimage := Set.restrictPreimage_bijective
#align function.bijective.restrict_preimage Function.Bijective.restrictPreimage
#align function.surjective.restrict_preimage Function.Surjective.restrictPreimage
#align function.injective.restrict_preimage Function.Injective.restrictPreimage
end
/-! ### Injectivity on a set -/
section injOn
theorem Subsingleton.injOn (hs : s.Subsingleton) (f : α → β) : InjOn f s := fun _ hx _ hy _ =>
hs hx hy
#align set.subsingleton.inj_on Set.Subsingleton.injOn
@[simp]
theorem injOn_empty (f : α → β) : InjOn f ∅ :=
subsingleton_empty.injOn f
#align set.inj_on_empty Set.injOn_empty
@[simp]
theorem injOn_singleton (f : α → β) (a : α) : InjOn f {a} :=
subsingleton_singleton.injOn f
#align set.inj_on_singleton Set.injOn_singleton
@[simp] lemma injOn_pair {b : α} : InjOn f {a, b} ↔ f a = f b → a = b := by unfold InjOn; aesop
theorem InjOn.eq_iff {x y} (h : InjOn f s) (hx : x ∈ s) (hy : y ∈ s) : f x = f y ↔ x = y :=
⟨h hx hy, fun h => h ▸ rfl⟩
#align set.inj_on.eq_iff Set.InjOn.eq_iff
theorem InjOn.ne_iff {x y} (h : InjOn f s) (hx : x ∈ s) (hy : y ∈ s) : f x ≠ f y ↔ x ≠ y :=
(h.eq_iff hx hy).not
#align set.inj_on.ne_iff Set.InjOn.ne_iff
alias ⟨_, InjOn.ne⟩ := InjOn.ne_iff
#align set.inj_on.ne Set.InjOn.ne
theorem InjOn.congr (h₁ : InjOn f₁ s) (h : EqOn f₁ f₂ s) : InjOn f₂ s := fun _ hx _ hy =>
h hx ▸ h hy ▸ h₁ hx hy
#align set.inj_on.congr Set.InjOn.congr
theorem EqOn.injOn_iff (H : EqOn f₁ f₂ s) : InjOn f₁ s ↔ InjOn f₂ s :=
⟨fun h => h.congr H, fun h => h.congr H.symm⟩
#align set.eq_on.inj_on_iff Set.EqOn.injOn_iff
theorem InjOn.mono (h : s₁ ⊆ s₂) (ht : InjOn f s₂) : InjOn f s₁ := fun _ hx _ hy H =>
ht (h hx) (h hy) H
#align set.inj_on.mono Set.InjOn.mono
theorem injOn_union (h : Disjoint s₁ s₂) :
InjOn f (s₁ ∪ s₂) ↔ InjOn f s₁ ∧ InjOn f s₂ ∧ ∀ x ∈ s₁, ∀ y ∈ s₂, f x ≠ f y := by
refine ⟨fun H => ⟨H.mono subset_union_left, H.mono subset_union_right, ?_⟩, ?_⟩
· intro x hx y hy hxy
obtain rfl : x = y := H (Or.inl hx) (Or.inr hy) hxy
exact h.le_bot ⟨hx, hy⟩
· rintro ⟨h₁, h₂, h₁₂⟩
rintro x (hx | hx) y (hy | hy) hxy
exacts [h₁ hx hy hxy, (h₁₂ _ hx _ hy hxy).elim, (h₁₂ _ hy _ hx hxy.symm).elim, h₂ hx hy hxy]
#align set.inj_on_union Set.injOn_union
theorem injOn_insert {f : α → β} {s : Set α} {a : α} (has : a ∉ s) :
Set.InjOn f (insert a s) ↔ Set.InjOn f s ∧ f a ∉ f '' s := by
rw [← union_singleton, injOn_union (disjoint_singleton_right.2 has)]
simp
#align set.inj_on_insert Set.injOn_insert
theorem injective_iff_injOn_univ : Injective f ↔ InjOn f univ :=
⟨fun h _ _ _ _ hxy => h hxy, fun h _ _ heq => h trivial trivial heq⟩
#align set.injective_iff_inj_on_univ Set.injective_iff_injOn_univ
theorem injOn_of_injective (h : Injective f) {s : Set α} : InjOn f s := fun _ _ _ _ hxy => h hxy
#align set.inj_on_of_injective Set.injOn_of_injective
alias _root_.Function.Injective.injOn := injOn_of_injective
#align function.injective.inj_on Function.Injective.injOn
-- A specialization of `injOn_of_injective` for `Subtype.val`.
theorem injOn_subtype_val {s : Set { x // p x }} : Set.InjOn Subtype.val s :=
Subtype.coe_injective.injOn
lemma injOn_id (s : Set α) : InjOn id s := injective_id.injOn
#align set.inj_on_id Set.injOn_id
theorem InjOn.comp (hg : InjOn g t) (hf : InjOn f s) (h : MapsTo f s t) : InjOn (g ∘ f) s :=
fun _ hx _ hy heq => hf hx hy <| hg (h hx) (h hy) heq
#align set.inj_on.comp Set.InjOn.comp
lemma InjOn.image_of_comp (h : InjOn (g ∘ f) s) : InjOn g (f '' s) :=
forall_mem_image.2 fun _x hx ↦ forall_mem_image.2 fun _y hy heq ↦ congr_arg f <| h hx hy heq
lemma InjOn.iterate {f : α → α} {s : Set α} (h : InjOn f s) (hf : MapsTo f s s) :
∀ n, InjOn f^[n] s
| 0 => injOn_id _
| (n + 1) => (h.iterate hf n).comp h hf
#align set.inj_on.iterate Set.InjOn.iterate
lemma injOn_of_subsingleton [Subsingleton α] (f : α → β) (s : Set α) : InjOn f s :=
(injective_of_subsingleton _).injOn
#align set.inj_on_of_subsingleton Set.injOn_of_subsingleton
theorem _root_.Function.Injective.injOn_range (h : Injective (g ∘ f)) : InjOn g (range f) := by
rintro _ ⟨x, rfl⟩ _ ⟨y, rfl⟩ H
exact congr_arg f (h H)
#align function.injective.inj_on_range Function.Injective.injOn_range
theorem injOn_iff_injective : InjOn f s ↔ Injective (s.restrict f) :=
⟨fun H a b h => Subtype.eq <| H a.2 b.2 h, fun H a as b bs h =>
congr_arg Subtype.val <| @H ⟨a, as⟩ ⟨b, bs⟩ h⟩
#align set.inj_on_iff_injective Set.injOn_iff_injective
alias ⟨InjOn.injective, _⟩ := Set.injOn_iff_injective
#align set.inj_on.injective Set.InjOn.injective
theorem MapsTo.restrict_inj (h : MapsTo f s t) : Injective (h.restrict f s t) ↔ InjOn f s := by
rw [h.restrict_eq_codRestrict, injective_codRestrict, injOn_iff_injective]
#align set.maps_to.restrict_inj Set.MapsTo.restrict_inj
theorem exists_injOn_iff_injective [Nonempty β] :
(∃ f : α → β, InjOn f s) ↔ ∃ f : s → β, Injective f :=
⟨fun ⟨f, hf⟩ => ⟨_, hf.injective⟩,
fun ⟨f, hf⟩ => by
lift f to α → β using trivial
exact ⟨f, injOn_iff_injective.2 hf⟩⟩
#align set.exists_inj_on_iff_injective Set.exists_injOn_iff_injective
theorem injOn_preimage {B : Set (Set β)} (hB : B ⊆ 𝒫 range f) : InjOn (preimage f) B :=
fun s hs t ht hst => (preimage_eq_preimage' (@hB s hs) (@hB t ht)).1 hst
-- Porting note: is there a semi-implicit variable problem with `⊆`?
#align set.inj_on_preimage Set.injOn_preimage
theorem InjOn.mem_of_mem_image {x} (hf : InjOn f s) (hs : s₁ ⊆ s) (h : x ∈ s) (h₁ : f x ∈ f '' s₁) :
x ∈ s₁ :=
let ⟨_, h', Eq⟩ := h₁
hf (hs h') h Eq ▸ h'
#align set.inj_on.mem_of_mem_image Set.InjOn.mem_of_mem_image
theorem InjOn.mem_image_iff {x} (hf : InjOn f s) (hs : s₁ ⊆ s) (hx : x ∈ s) :
f x ∈ f '' s₁ ↔ x ∈ s₁ :=
⟨hf.mem_of_mem_image hs hx, mem_image_of_mem f⟩
#align set.inj_on.mem_image_iff Set.InjOn.mem_image_iff
theorem InjOn.preimage_image_inter (hf : InjOn f s) (hs : s₁ ⊆ s) : f ⁻¹' (f '' s₁) ∩ s = s₁ :=
ext fun _ => ⟨fun ⟨h₁, h₂⟩ => hf.mem_of_mem_image hs h₂ h₁, fun h => ⟨mem_image_of_mem _ h, hs h⟩⟩
#align set.inj_on.preimage_image_inter Set.InjOn.preimage_image_inter
theorem EqOn.cancel_left (h : s.EqOn (g ∘ f₁) (g ∘ f₂)) (hg : t.InjOn g) (hf₁ : s.MapsTo f₁ t)
(hf₂ : s.MapsTo f₂ t) : s.EqOn f₁ f₂ := fun _ ha => hg (hf₁ ha) (hf₂ ha) (h ha)
#align set.eq_on.cancel_left Set.EqOn.cancel_left
theorem InjOn.cancel_left (hg : t.InjOn g) (hf₁ : s.MapsTo f₁ t) (hf₂ : s.MapsTo f₂ t) :
s.EqOn (g ∘ f₁) (g ∘ f₂) ↔ s.EqOn f₁ f₂ :=
⟨fun h => h.cancel_left hg hf₁ hf₂, EqOn.comp_left⟩
#align set.inj_on.cancel_left Set.InjOn.cancel_left
lemma InjOn.image_inter {s t u : Set α} (hf : u.InjOn f) (hs : s ⊆ u) (ht : t ⊆ u) :
f '' (s ∩ t) = f '' s ∩ f '' t := by
apply Subset.antisymm (image_inter_subset _ _ _)
intro x ⟨⟨y, ys, hy⟩, ⟨z, zt, hz⟩⟩
have : y = z := by
apply hf (hs ys) (ht zt)
rwa [← hz] at hy
rw [← this] at zt
exact ⟨y, ⟨ys, zt⟩, hy⟩
#align set.inj_on.image_inter Set.InjOn.image_inter
lemma InjOn.image (h : s.InjOn f) : s.powerset.InjOn (image f) :=
fun s₁ hs₁ s₂ hs₂ h' ↦ by rw [← h.preimage_image_inter hs₁, h', h.preimage_image_inter hs₂]
theorem InjOn.image_eq_image_iff (h : s.InjOn f) (h₁ : s₁ ⊆ s) (h₂ : s₂ ⊆ s) :
f '' s₁ = f '' s₂ ↔ s₁ = s₂ :=
h.image.eq_iff h₁ h₂
lemma InjOn.image_subset_image_iff (h : s.InjOn f) (h₁ : s₁ ⊆ s) (h₂ : s₂ ⊆ s) :
f '' s₁ ⊆ f '' s₂ ↔ s₁ ⊆ s₂ := by
refine' ⟨fun h' ↦ _, image_subset _⟩
rw [← h.preimage_image_inter h₁, ← h.preimage_image_inter h₂]
exact inter_subset_inter_left _ (preimage_mono h')
lemma InjOn.image_ssubset_image_iff (h : s.InjOn f) (h₁ : s₁ ⊆ s) (h₂ : s₂ ⊆ s) :
f '' s₁ ⊂ f '' s₂ ↔ s₁ ⊂ s₂ := by
simp_rw [ssubset_def, h.image_subset_image_iff h₁ h₂, h.image_subset_image_iff h₂ h₁]
-- TODO: can this move to a better place?
theorem _root_.Disjoint.image {s t u : Set α} {f : α → β} (h : Disjoint s t) (hf : u.InjOn f)
(hs : s ⊆ u) (ht : t ⊆ u) : Disjoint (f '' s) (f '' t) := by
rw [disjoint_iff_inter_eq_empty] at h ⊢
rw [← hf.image_inter hs ht, h, image_empty]
#align disjoint.image Disjoint.image
lemma InjOn.image_diff {t : Set α} (h : s.InjOn f) : f '' (s \ t) = f '' s \ f '' (s ∩ t) := by
refine subset_antisymm (subset_diff.2 ⟨image_subset f diff_subset, ?_⟩)
(diff_subset_iff.2 (by rw [← image_union, inter_union_diff]))
exact Disjoint.image disjoint_sdiff_inter h diff_subset inter_subset_left
lemma InjOn.image_diff_subset {f : α → β} {t : Set α} (h : InjOn f s) (hst : t ⊆ s) :
f '' (s \ t) = f '' s \ f '' t := by
rw [h.image_diff, inter_eq_self_of_subset_right hst]
theorem InjOn.imageFactorization_injective (h : InjOn f s) :
Injective (s.imageFactorization f) :=
fun ⟨x, hx⟩ ⟨y, hy⟩ h' ↦ by simpa [imageFactorization, h.eq_iff hx hy] using h'
@[simp] theorem imageFactorization_injective_iff : Injective (s.imageFactorization f) ↔ InjOn f s :=
⟨fun h x hx y hy _ ↦ by simpa using @h ⟨x, hx⟩ ⟨y, hy⟩ (by simpa [imageFactorization]),
InjOn.imageFactorization_injective⟩
end injOn
section graphOn
@[simp] lemma graphOn_empty (f : α → β) : graphOn f ∅ = ∅ := image_empty _
@[simp]
lemma graphOn_union (f : α → β) (s t : Set α) : graphOn f (s ∪ t) = graphOn f s ∪ graphOn f t :=
image_union ..
@[simp]
lemma graphOn_singleton (f : α → β) (x : α) : graphOn f {x} = {(x, f x)} :=
image_singleton ..
@[simp]
lemma graphOn_insert (f : α → β) (x : α) (s : Set α) :
graphOn f (insert x s) = insert (x, f x) (graphOn f s) :=
image_insert_eq ..
@[simp]
lemma image_fst_graphOn (f : α → β) (s : Set α) : Prod.fst '' graphOn f s = s := by
simp [graphOn, image_image]
lemma exists_eq_graphOn_image_fst [Nonempty β] {s : Set (α × β)} :
(∃ f : α → β, s = graphOn f (Prod.fst '' s)) ↔ InjOn Prod.fst s := by
refine ⟨?_, fun h ↦ ?_⟩
· rintro ⟨f, hf⟩
rw [hf]
exact InjOn.image_of_comp <| injOn_id _
· have : ∀ x ∈ Prod.fst '' s, ∃ y, (x, y) ∈ s := forall_mem_image.2 fun (x, y) h ↦ ⟨y, h⟩
choose! f hf using this
rw [forall_mem_image] at hf
use f
rw [graphOn, image_image, EqOn.image_eq_self]
exact fun x hx ↦ h (hf hx) hx rfl
lemma exists_eq_graphOn [Nonempty β] {s : Set (α × β)} :
(∃ f t, s = graphOn f t) ↔ InjOn Prod.fst s :=
.trans ⟨fun ⟨f, t, hs⟩ ↦ ⟨f, by rw [hs, image_fst_graphOn]⟩, fun ⟨f, hf⟩ ↦ ⟨f, _, hf⟩⟩
exists_eq_graphOn_image_fst
end graphOn
/-! ### Surjectivity on a set -/
section surjOn
theorem SurjOn.subset_range (h : SurjOn f s t) : t ⊆ range f :=
Subset.trans h <| image_subset_range f s
#align set.surj_on.subset_range Set.SurjOn.subset_range
theorem surjOn_iff_exists_map_subtype :
SurjOn f s t ↔ ∃ (t' : Set β) (g : s → t'), t ⊆ t' ∧ Surjective g ∧ ∀ x : s, f x = g x :=
⟨fun h =>
⟨_, (mapsTo_image f s).restrict f s _, h, surjective_mapsTo_image_restrict _ _, fun _ => rfl⟩,
fun ⟨t', g, htt', hg, hfg⟩ y hy =>
let ⟨x, hx⟩ := hg ⟨y, htt' hy⟩
⟨x, x.2, by rw [hfg, hx, Subtype.coe_mk]⟩⟩
#align set.surj_on_iff_exists_map_subtype Set.surjOn_iff_exists_map_subtype
theorem surjOn_empty (f : α → β) (s : Set α) : SurjOn f s ∅ :=
empty_subset _
#align set.surj_on_empty Set.surjOn_empty
@[simp] theorem surjOn_empty_iff : SurjOn f ∅ t ↔ t = ∅ := by
simp [SurjOn, subset_empty_iff]
@[simp] lemma surjOn_singleton : SurjOn f s {b} ↔ b ∈ f '' s := singleton_subset_iff
#align set.surj_on_singleton Set.surjOn_singleton
theorem surjOn_image (f : α → β) (s : Set α) : SurjOn f s (f '' s) :=
Subset.rfl
#align set.surj_on_image Set.surjOn_image
theorem SurjOn.comap_nonempty (h : SurjOn f s t) (ht : t.Nonempty) : s.Nonempty :=
(ht.mono h).of_image
#align set.surj_on.comap_nonempty Set.SurjOn.comap_nonempty
theorem SurjOn.congr (h : SurjOn f₁ s t) (H : EqOn f₁ f₂ s) : SurjOn f₂ s t := by
rwa [SurjOn, ← H.image_eq]
#align set.surj_on.congr Set.SurjOn.congr
theorem EqOn.surjOn_iff (h : EqOn f₁ f₂ s) : SurjOn f₁ s t ↔ SurjOn f₂ s t :=
⟨fun H => H.congr h, fun H => H.congr h.symm⟩
#align set.eq_on.surj_on_iff Set.EqOn.surjOn_iff
theorem SurjOn.mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) (hf : SurjOn f s₁ t₂) : SurjOn f s₂ t₁ :=
Subset.trans ht <| Subset.trans hf <| image_subset _ hs
#align set.surj_on.mono Set.SurjOn.mono
theorem SurjOn.union (h₁ : SurjOn f s t₁) (h₂ : SurjOn f s t₂) : SurjOn f s (t₁ ∪ t₂) := fun _ hx =>
hx.elim (fun hx => h₁ hx) fun hx => h₂ hx
#align set.surj_on.union Set.SurjOn.union
theorem SurjOn.union_union (h₁ : SurjOn f s₁ t₁) (h₂ : SurjOn f s₂ t₂) :
SurjOn f (s₁ ∪ s₂) (t₁ ∪ t₂) :=
(h₁.mono subset_union_left (Subset.refl _)).union
(h₂.mono subset_union_right (Subset.refl _))
#align set.surj_on.union_union Set.SurjOn.union_union
theorem SurjOn.inter_inter (h₁ : SurjOn f s₁ t₁) (h₂ : SurjOn f s₂ t₂) (h : InjOn f (s₁ ∪ s₂)) :
SurjOn f (s₁ ∩ s₂) (t₁ ∩ t₂) := by
intro y hy
rcases h₁ hy.1 with ⟨x₁, hx₁, rfl⟩
rcases h₂ hy.2 with ⟨x₂, hx₂, heq⟩
obtain rfl : x₁ = x₂ := h (Or.inl hx₁) (Or.inr hx₂) heq.symm
exact mem_image_of_mem f ⟨hx₁, hx₂⟩
#align set.surj_on.inter_inter Set.SurjOn.inter_inter
theorem SurjOn.inter (h₁ : SurjOn f s₁ t) (h₂ : SurjOn f s₂ t) (h : InjOn f (s₁ ∪ s₂)) :
SurjOn f (s₁ ∩ s₂) t :=
inter_self t ▸ h₁.inter_inter h₂ h
#align set.surj_on.inter Set.SurjOn.inter
-- Porting note: Why does `simp` not call `refl` by itself?
lemma surjOn_id (s : Set α) : SurjOn id s s := by simp [SurjOn, subset_rfl]
#align set.surj_on_id Set.surjOn_id
theorem SurjOn.comp (hg : SurjOn g t p) (hf : SurjOn f s t) : SurjOn (g ∘ f) s p :=
Subset.trans hg <| Subset.trans (image_subset g hf) <| image_comp g f s ▸ Subset.refl _
#align set.surj_on.comp Set.SurjOn.comp
lemma SurjOn.iterate {f : α → α} {s : Set α} (h : SurjOn f s s) : ∀ n, SurjOn f^[n] s s
| 0 => surjOn_id _
| (n + 1) => (h.iterate n).comp h
#align set.surj_on.iterate Set.SurjOn.iterate
lemma SurjOn.comp_left (hf : SurjOn f s t) (g : β → γ) : SurjOn (g ∘ f) s (g '' t) := by
rw [SurjOn, image_comp g f]; exact image_subset _ hf
#align set.surj_on.comp_left Set.SurjOn.comp_left
lemma SurjOn.comp_right {s : Set β} {t : Set γ} (hf : Surjective f) (hg : SurjOn g s t) :
SurjOn (g ∘ f) (f ⁻¹' s) t := by
rwa [SurjOn, image_comp g f, image_preimage_eq _ hf]
#align set.surj_on.comp_right Set.SurjOn.comp_right
lemma surjOn_of_subsingleton' [Subsingleton β] (f : α → β) (h : t.Nonempty → s.Nonempty) :
SurjOn f s t :=
fun _ ha ↦ Subsingleton.mem_iff_nonempty.2 <| (h ⟨_, ha⟩).image _
#align set.surj_on_of_subsingleton' Set.surjOn_of_subsingleton'
lemma surjOn_of_subsingleton [Subsingleton α] (f : α → α) (s : Set α) : SurjOn f s s :=
surjOn_of_subsingleton' _ id
#align set.surj_on_of_subsingleton Set.surjOn_of_subsingleton
theorem surjective_iff_surjOn_univ : Surjective f ↔ SurjOn f univ univ := by
simp [Surjective, SurjOn, subset_def]
#align set.surjective_iff_surj_on_univ Set.surjective_iff_surjOn_univ
theorem surjOn_iff_surjective : SurjOn f s univ ↔ Surjective (s.restrict f) :=
⟨fun H b =>
let ⟨a, as, e⟩ := @H b trivial
⟨⟨a, as⟩, e⟩,
fun H b _ =>
let ⟨⟨a, as⟩, e⟩ := H b
⟨a, as, e⟩⟩
#align set.surj_on_iff_surjective Set.surjOn_iff_surjective
@[simp]
theorem MapsTo.restrict_surjective_iff (h : MapsTo f s t) :
Surjective (MapsTo.restrict _ _ _ h) ↔ SurjOn f s t := by
refine ⟨fun h' b hb ↦ ?_, fun h' ⟨b, hb⟩ ↦ ?_⟩
· obtain ⟨⟨a, ha⟩, ha'⟩ := h' ⟨b, hb⟩
replace ha' : f a = b := by simpa [Subtype.ext_iff] using ha'
rw [← ha']
exact mem_image_of_mem f ha
· obtain ⟨a, ha, rfl⟩ := h' hb
exact ⟨⟨a, ha⟩, rfl⟩
theorem SurjOn.image_eq_of_mapsTo (h₁ : SurjOn f s t) (h₂ : MapsTo f s t) : f '' s = t :=
eq_of_subset_of_subset h₂.image_subset h₁
#align set.surj_on.image_eq_of_maps_to Set.SurjOn.image_eq_of_mapsTo
theorem image_eq_iff_surjOn_mapsTo : f '' s = t ↔ s.SurjOn f t ∧ s.MapsTo f t := by
refine ⟨?_, fun h => h.1.image_eq_of_mapsTo h.2⟩
rintro rfl
exact ⟨s.surjOn_image f, s.mapsTo_image f⟩
#align set.image_eq_iff_surj_on_maps_to Set.image_eq_iff_surjOn_mapsTo
lemma SurjOn.image_preimage (h : Set.SurjOn f s t) (ht : t₁ ⊆ t) : f '' (f ⁻¹' t₁) = t₁ :=
image_preimage_eq_iff.2 fun _ hx ↦ mem_range_of_mem_image f s <| h <| ht hx
theorem SurjOn.mapsTo_compl (h : SurjOn f s t) (h' : Injective f) : MapsTo f sᶜ tᶜ :=
fun _ hs ht =>
let ⟨_, hx', HEq⟩ := h ht
hs <| h' HEq ▸ hx'
#align set.surj_on.maps_to_compl Set.SurjOn.mapsTo_compl
theorem MapsTo.surjOn_compl (h : MapsTo f s t) (h' : Surjective f) : SurjOn f sᶜ tᶜ :=
h'.forall.2 fun _ ht => (mem_image_of_mem _) fun hs => ht (h hs)
#align set.maps_to.surj_on_compl Set.MapsTo.surjOn_compl
theorem EqOn.cancel_right (hf : s.EqOn (g₁ ∘ f) (g₂ ∘ f)) (hf' : s.SurjOn f t) : t.EqOn g₁ g₂ := by
intro b hb
obtain ⟨a, ha, rfl⟩ := hf' hb
exact hf ha
#align set.eq_on.cancel_right Set.EqOn.cancel_right
theorem SurjOn.cancel_right (hf : s.SurjOn f t) (hf' : s.MapsTo f t) :
s.EqOn (g₁ ∘ f) (g₂ ∘ f) ↔ t.EqOn g₁ g₂ :=
⟨fun h => h.cancel_right hf, fun h => h.comp_right hf'⟩
#align set.surj_on.cancel_right Set.SurjOn.cancel_right
theorem eqOn_comp_right_iff : s.EqOn (g₁ ∘ f) (g₂ ∘ f) ↔ (f '' s).EqOn g₁ g₂ :=
(s.surjOn_image f).cancel_right <| s.mapsTo_image f
#align set.eq_on_comp_right_iff Set.eqOn_comp_right_iff
theorem SurjOn.forall {p : β → Prop} (hf : s.SurjOn f t) (hf' : s.MapsTo f t) :
(∀ y ∈ t, p y) ↔ (∀ x ∈ s, p (f x)) :=
⟨fun H x hx ↦ H (f x) (hf' hx), fun H _y hy ↦ let ⟨x, hx, hxy⟩ := hf hy; hxy ▸ H x hx⟩
end surjOn
/-! ### Bijectivity -/
section bijOn
theorem BijOn.mapsTo (h : BijOn f s t) : MapsTo f s t :=
h.left
#align set.bij_on.maps_to Set.BijOn.mapsTo
theorem BijOn.injOn (h : BijOn f s t) : InjOn f s :=
h.right.left
#align set.bij_on.inj_on Set.BijOn.injOn
theorem BijOn.surjOn (h : BijOn f s t) : SurjOn f s t :=
h.right.right
#align set.bij_on.surj_on Set.BijOn.surjOn
theorem BijOn.mk (h₁ : MapsTo f s t) (h₂ : InjOn f s) (h₃ : SurjOn f s t) : BijOn f s t :=
⟨h₁, h₂, h₃⟩
#align set.bij_on.mk Set.BijOn.mk
theorem bijOn_empty (f : α → β) : BijOn f ∅ ∅ :=
⟨mapsTo_empty f ∅, injOn_empty f, surjOn_empty f ∅⟩
#align set.bij_on_empty Set.bijOn_empty
@[simp] theorem bijOn_empty_iff_left : BijOn f s ∅ ↔ s = ∅ :=
⟨fun h ↦ by simpa using h.mapsTo, by rintro rfl; exact bijOn_empty f⟩
@[simp] theorem bijOn_empty_iff_right : BijOn f ∅ t ↔ t = ∅ :=
⟨fun h ↦ by simpa using h.surjOn, by rintro rfl; exact bijOn_empty f⟩
@[simp] lemma bijOn_singleton : BijOn f {a} {b} ↔ f a = b := by simp [BijOn, eq_comm]
#align set.bij_on_singleton Set.bijOn_singleton
theorem BijOn.inter_mapsTo (h₁ : BijOn f s₁ t₁) (h₂ : MapsTo f s₂ t₂) (h₃ : s₁ ∩ f ⁻¹' t₂ ⊆ s₂) :
BijOn f (s₁ ∩ s₂) (t₁ ∩ t₂) :=
⟨h₁.mapsTo.inter_inter h₂, h₁.injOn.mono inter_subset_left, fun _ hy =>
let ⟨x, hx, hxy⟩ := h₁.surjOn hy.1
⟨x, ⟨hx, h₃ ⟨hx, hxy.symm.subst hy.2⟩⟩, hxy⟩⟩
#align set.bij_on.inter_maps_to Set.BijOn.inter_mapsTo
theorem MapsTo.inter_bijOn (h₁ : MapsTo f s₁ t₁) (h₂ : BijOn f s₂ t₂) (h₃ : s₂ ∩ f ⁻¹' t₁ ⊆ s₁) :
BijOn f (s₁ ∩ s₂) (t₁ ∩ t₂) :=
inter_comm s₂ s₁ ▸ inter_comm t₂ t₁ ▸ h₂.inter_mapsTo h₁ h₃
#align set.maps_to.inter_bij_on Set.MapsTo.inter_bijOn
theorem BijOn.inter (h₁ : BijOn f s₁ t₁) (h₂ : BijOn f s₂ t₂) (h : InjOn f (s₁ ∪ s₂)) :
BijOn f (s₁ ∩ s₂) (t₁ ∩ t₂) :=
⟨h₁.mapsTo.inter_inter h₂.mapsTo, h₁.injOn.mono inter_subset_left,
h₁.surjOn.inter_inter h₂.surjOn h⟩
#align set.bij_on.inter Set.BijOn.inter
theorem BijOn.union (h₁ : BijOn f s₁ t₁) (h₂ : BijOn f s₂ t₂) (h : InjOn f (s₁ ∪ s₂)) :
BijOn f (s₁ ∪ s₂) (t₁ ∪ t₂) :=
⟨h₁.mapsTo.union_union h₂.mapsTo, h, h₁.surjOn.union_union h₂.surjOn⟩
#align set.bij_on.union Set.BijOn.union
theorem BijOn.subset_range (h : BijOn f s t) : t ⊆ range f :=
h.surjOn.subset_range
#align set.bij_on.subset_range Set.BijOn.subset_range
theorem InjOn.bijOn_image (h : InjOn f s) : BijOn f s (f '' s) :=
BijOn.mk (mapsTo_image f s) h (Subset.refl _)
#align set.inj_on.bij_on_image Set.InjOn.bijOn_image
theorem BijOn.congr (h₁ : BijOn f₁ s t) (h : EqOn f₁ f₂ s) : BijOn f₂ s t :=
BijOn.mk (h₁.mapsTo.congr h) (h₁.injOn.congr h) (h₁.surjOn.congr h)
#align set.bij_on.congr Set.BijOn.congr
theorem EqOn.bijOn_iff (H : EqOn f₁ f₂ s) : BijOn f₁ s t ↔ BijOn f₂ s t :=
⟨fun h => h.congr H, fun h => h.congr H.symm⟩
#align set.eq_on.bij_on_iff Set.EqOn.bijOn_iff
theorem BijOn.image_eq (h : BijOn f s t) : f '' s = t :=
h.surjOn.image_eq_of_mapsTo h.mapsTo
#align set.bij_on.image_eq Set.BijOn.image_eq
lemma BijOn.forall {p : β → Prop} (hf : BijOn f s t) : (∀ b ∈ t, p b) ↔ ∀ a ∈ s, p (f a) where
mp h a ha := h _ $ hf.mapsTo ha
mpr h b hb := by obtain ⟨a, ha, rfl⟩ := hf.surjOn hb; exact h _ ha
lemma BijOn.exists {p : β → Prop} (hf : BijOn f s t) : (∃ b ∈ t, p b) ↔ ∃ a ∈ s, p (f a) where
mp := by rintro ⟨b, hb, h⟩; obtain ⟨a, ha, rfl⟩ := hf.surjOn hb; exact ⟨a, ha, h⟩
mpr := by rintro ⟨a, ha, h⟩; exact ⟨f a, hf.mapsTo ha, h⟩
lemma _root_.Equiv.image_eq_iff_bijOn (e : α ≃ β) : e '' s = t ↔ BijOn e s t :=
⟨fun h ↦ ⟨(mapsTo_image e s).mono_right h.subset, e.injective.injOn, h ▸ surjOn_image e s⟩,
BijOn.image_eq⟩
lemma bijOn_id (s : Set α) : BijOn id s s := ⟨s.mapsTo_id, s.injOn_id, s.surjOn_id⟩
#align set.bij_on_id Set.bijOn_id
theorem BijOn.comp (hg : BijOn g t p) (hf : BijOn f s t) : BijOn (g ∘ f) s p :=
BijOn.mk (hg.mapsTo.comp hf.mapsTo) (hg.injOn.comp hf.injOn hf.mapsTo) (hg.surjOn.comp hf.surjOn)
#align set.bij_on.comp Set.BijOn.comp
lemma BijOn.iterate {f : α → α} {s : Set α} (h : BijOn f s s) : ∀ n, BijOn f^[n] s s
| 0 => s.bijOn_id
| (n + 1) => (h.iterate n).comp h
#align set.bij_on.iterate Set.BijOn.iterate
lemma bijOn_of_subsingleton' [Subsingleton α] [Subsingleton β] (f : α → β)
(h : s.Nonempty ↔ t.Nonempty) : BijOn f s t :=
⟨mapsTo_of_subsingleton' _ h.1, injOn_of_subsingleton _ _, surjOn_of_subsingleton' _ h.2⟩
#align set.bij_on_of_subsingleton' Set.bijOn_of_subsingleton'
lemma bijOn_of_subsingleton [Subsingleton α] (f : α → α) (s : Set α) : BijOn f s s :=
bijOn_of_subsingleton' _ Iff.rfl
#align set.bij_on_of_subsingleton Set.bijOn_of_subsingleton
theorem BijOn.bijective (h : BijOn f s t) : Bijective (h.mapsTo.restrict f s t) :=
⟨fun x y h' => Subtype.ext <| h.injOn x.2 y.2 <| Subtype.ext_iff.1 h', fun ⟨_, hy⟩ =>
let ⟨x, hx, hxy⟩ := h.surjOn hy
⟨⟨x, hx⟩, Subtype.eq hxy⟩⟩
#align set.bij_on.bijective Set.BijOn.bijective
theorem bijective_iff_bijOn_univ : Bijective f ↔ BijOn f univ univ :=
Iff.intro
(fun h =>
let ⟨inj, surj⟩ := h
⟨mapsTo_univ f _, inj.injOn, Iff.mp surjective_iff_surjOn_univ surj⟩)
fun h =>
let ⟨_map, inj, surj⟩ := h
⟨Iff.mpr injective_iff_injOn_univ inj, Iff.mpr surjective_iff_surjOn_univ surj⟩
#align set.bijective_iff_bij_on_univ Set.bijective_iff_bijOn_univ
alias ⟨_root_.Function.Bijective.bijOn_univ, _⟩ := bijective_iff_bijOn_univ
#align function.bijective.bij_on_univ Function.Bijective.bijOn_univ
theorem BijOn.compl (hst : BijOn f s t) (hf : Bijective f) : BijOn f sᶜ tᶜ :=
⟨hst.surjOn.mapsTo_compl hf.1, hf.1.injOn, hst.mapsTo.surjOn_compl hf.2⟩
#align set.bij_on.compl Set.BijOn.compl
theorem BijOn.subset_right {r : Set β} (hf : BijOn f s t) (hrt : r ⊆ t) :
BijOn f (s ∩ f ⁻¹' r) r := by
refine ⟨inter_subset_right, hf.injOn.mono inter_subset_left, fun x hx ↦ ?_⟩
obtain ⟨y, hy, rfl⟩ := hf.surjOn (hrt hx)
exact ⟨y, ⟨hy, hx⟩, rfl⟩
theorem BijOn.subset_left {r : Set α} (hf : BijOn f s t) (hrs : r ⊆ s) :
BijOn f r (f '' r) :=
(hf.injOn.mono hrs).bijOn_image
end bijOn
/-! ### left inverse -/
namespace LeftInvOn
theorem eqOn (h : LeftInvOn f' f s) : EqOn (f' ∘ f) id s :=
h
#align set.left_inv_on.eq_on Set.LeftInvOn.eqOn
theorem eq (h : LeftInvOn f' f s) {x} (hx : x ∈ s) : f' (f x) = x :=
h hx
#align set.left_inv_on.eq Set.LeftInvOn.eq
theorem congr_left (h₁ : LeftInvOn f₁' f s) {t : Set β} (h₁' : MapsTo f s t)
(heq : EqOn f₁' f₂' t) : LeftInvOn f₂' f s := fun _ hx => heq (h₁' hx) ▸ h₁ hx
#align set.left_inv_on.congr_left Set.LeftInvOn.congr_left
theorem congr_right (h₁ : LeftInvOn f₁' f₁ s) (heq : EqOn f₁ f₂ s) : LeftInvOn f₁' f₂ s :=
fun _ hx => heq hx ▸ h₁ hx
#align set.left_inv_on.congr_right Set.LeftInvOn.congr_right
theorem injOn (h : LeftInvOn f₁' f s) : InjOn f s := fun x₁ h₁ x₂ h₂ heq =>
calc
x₁ = f₁' (f x₁) := Eq.symm <| h h₁
_ = f₁' (f x₂) := congr_arg f₁' heq
_ = x₂ := h h₂
#align set.left_inv_on.inj_on Set.LeftInvOn.injOn
theorem surjOn (h : LeftInvOn f' f s) (hf : MapsTo f s t) : SurjOn f' t s := fun x hx =>
⟨f x, hf hx, h hx⟩
#align set.left_inv_on.surj_on Set.LeftInvOn.surjOn
theorem mapsTo (h : LeftInvOn f' f s) (hf : SurjOn f s t) :
MapsTo f' t s := fun y hy => by
let ⟨x, hs, hx⟩ := hf hy
rwa [← hx, h hs]
#align set.left_inv_on.maps_to Set.LeftInvOn.mapsTo
lemma _root_.Set.leftInvOn_id (s : Set α) : LeftInvOn id id s := fun _ _ ↦ rfl
#align set.left_inv_on_id Set.leftInvOn_id
theorem comp (hf' : LeftInvOn f' f s) (hg' : LeftInvOn g' g t) (hf : MapsTo f s t) :
LeftInvOn (f' ∘ g') (g ∘ f) s := fun x h =>
calc
(f' ∘ g') ((g ∘ f) x) = f' (f x) := congr_arg f' (hg' (hf h))
_ = x := hf' h
#align set.left_inv_on.comp Set.LeftInvOn.comp
theorem mono (hf : LeftInvOn f' f s) (ht : s₁ ⊆ s) : LeftInvOn f' f s₁ := fun _ hx =>
hf (ht hx)
#align set.left_inv_on.mono Set.LeftInvOn.mono
theorem image_inter' (hf : LeftInvOn f' f s) : f '' (s₁ ∩ s) = f' ⁻¹' s₁ ∩ f '' s := by
apply Subset.antisymm
· rintro _ ⟨x, ⟨h₁, h⟩, rfl⟩
exact ⟨by rwa [mem_preimage, hf h], mem_image_of_mem _ h⟩
· rintro _ ⟨h₁, ⟨x, h, rfl⟩⟩
exact mem_image_of_mem _ ⟨by rwa [← hf h], h⟩
#align set.left_inv_on.image_inter' Set.LeftInvOn.image_inter'
theorem image_inter (hf : LeftInvOn f' f s) :
f '' (s₁ ∩ s) = f' ⁻¹' (s₁ ∩ s) ∩ f '' s := by
rw [hf.image_inter']
refine Subset.antisymm ?_ (inter_subset_inter_left _ (preimage_mono inter_subset_left))
rintro _ ⟨h₁, x, hx, rfl⟩; exact ⟨⟨h₁, by rwa [hf hx]⟩, mem_image_of_mem _ hx⟩
#align set.left_inv_on.image_inter Set.LeftInvOn.image_inter
theorem image_image (hf : LeftInvOn f' f s) : f' '' (f '' s) = s := by
rw [Set.image_image, image_congr hf, image_id']
#align set.left_inv_on.image_image Set.LeftInvOn.image_image
theorem image_image' (hf : LeftInvOn f' f s) (hs : s₁ ⊆ s) : f' '' (f '' s₁) = s₁ :=
(hf.mono hs).image_image
#align set.left_inv_on.image_image' Set.LeftInvOn.image_image'
end LeftInvOn
/-! ### Right inverse -/
section RightInvOn
namespace RightInvOn
theorem eqOn (h : RightInvOn f' f t) : EqOn (f ∘ f') id t :=
h
#align set.right_inv_on.eq_on Set.RightInvOn.eqOn
theorem eq (h : RightInvOn f' f t) {y} (hy : y ∈ t) : f (f' y) = y :=
h hy
#align set.right_inv_on.eq Set.RightInvOn.eq
theorem _root_.Set.LeftInvOn.rightInvOn_image (h : LeftInvOn f' f s) : RightInvOn f' f (f '' s) :=
fun _y ⟨_x, hx, heq⟩ => heq ▸ (congr_arg f <| h.eq hx)
#align set.left_inv_on.right_inv_on_image Set.LeftInvOn.rightInvOn_image
theorem congr_left (h₁ : RightInvOn f₁' f t) (heq : EqOn f₁' f₂' t) :
RightInvOn f₂' f t :=
h₁.congr_right heq
#align set.right_inv_on.congr_left Set.RightInvOn.congr_left
theorem congr_right (h₁ : RightInvOn f' f₁ t) (hg : MapsTo f' t s) (heq : EqOn f₁ f₂ s) :
RightInvOn f' f₂ t :=
LeftInvOn.congr_left h₁ hg heq
#align set.right_inv_on.congr_right Set.RightInvOn.congr_right
theorem surjOn (hf : RightInvOn f' f t) (hf' : MapsTo f' t s) : SurjOn f s t :=
LeftInvOn.surjOn hf hf'
#align set.right_inv_on.surj_on Set.RightInvOn.surjOn
theorem mapsTo (h : RightInvOn f' f t) (hf : SurjOn f' t s) : MapsTo f s t :=
LeftInvOn.mapsTo h hf
#align set.right_inv_on.maps_to Set.RightInvOn.mapsTo
lemma _root_.Set.rightInvOn_id (s : Set α) : RightInvOn id id s := fun _ _ ↦ rfl
#align set.right_inv_on_id Set.rightInvOn_id
theorem comp (hf : RightInvOn f' f t) (hg : RightInvOn g' g p) (g'pt : MapsTo g' p t) :
RightInvOn (f' ∘ g') (g ∘ f) p :=
LeftInvOn.comp hg hf g'pt
#align set.right_inv_on.comp Set.RightInvOn.comp
theorem mono (hf : RightInvOn f' f t) (ht : t₁ ⊆ t) : RightInvOn f' f t₁ :=
LeftInvOn.mono hf ht
#align set.right_inv_on.mono Set.RightInvOn.mono
end RightInvOn
theorem InjOn.rightInvOn_of_leftInvOn (hf : InjOn f s) (hf' : LeftInvOn f f' t)
(h₁ : MapsTo f s t) (h₂ : MapsTo f' t s) : RightInvOn f f' s := fun _ h =>
hf (h₂ <| h₁ h) h (hf' (h₁ h))
#align set.inj_on.right_inv_on_of_left_inv_on Set.InjOn.rightInvOn_of_leftInvOn
theorem eqOn_of_leftInvOn_of_rightInvOn (h₁ : LeftInvOn f₁' f s) (h₂ : RightInvOn f₂' f t)
(h : MapsTo f₂' t s) : EqOn f₁' f₂' t := fun y hy =>
calc
f₁' y = (f₁' ∘ f ∘ f₂') y := congr_arg f₁' (h₂ hy).symm
_ = f₂' y := h₁ (h hy)
#align set.eq_on_of_left_inv_on_of_right_inv_on Set.eqOn_of_leftInvOn_of_rightInvOn
theorem SurjOn.leftInvOn_of_rightInvOn (hf : SurjOn f s t) (hf' : RightInvOn f f' s) :
LeftInvOn f f' t := fun y hy => by
let ⟨x, hx, heq⟩ := hf hy
rw [← heq, hf' hx]
#align set.surj_on.left_inv_on_of_right_inv_on Set.SurjOn.leftInvOn_of_rightInvOn
end RightInvOn
/-! ### Two-side inverses -/
namespace InvOn
lemma _root_.Set.invOn_id (s : Set α) : InvOn id id s s := ⟨s.leftInvOn_id, s.rightInvOn_id⟩
#align set.inv_on_id Set.invOn_id
lemma comp (hf : InvOn f' f s t) (hg : InvOn g' g t p) (fst : MapsTo f s t)
(g'pt : MapsTo g' p t) :
InvOn (f' ∘ g') (g ∘ f) s p :=
⟨hf.1.comp hg.1 fst, hf.2.comp hg.2 g'pt⟩
#align set.inv_on.comp Set.InvOn.comp
@[symm]
theorem symm (h : InvOn f' f s t) : InvOn f f' t s :=
⟨h.right, h.left⟩
#align set.inv_on.symm Set.InvOn.symm
theorem mono (h : InvOn f' f s t) (hs : s₁ ⊆ s) (ht : t₁ ⊆ t) : InvOn f' f s₁ t₁ :=
⟨h.1.mono hs, h.2.mono ht⟩
#align set.inv_on.mono Set.InvOn.mono
/-- If functions `f'` and `f` are inverse on `s` and `t`, `f` maps `s` into `t`, and `f'` maps `t`
into `s`, then `f` is a bijection between `s` and `t`. The `mapsTo` arguments can be deduced from
`surjOn` statements using `LeftInvOn.mapsTo` and `RightInvOn.mapsTo`. -/
theorem bijOn (h : InvOn f' f s t) (hf : MapsTo f s t) (hf' : MapsTo f' t s) : BijOn f s t :=
⟨hf, h.left.injOn, h.right.surjOn hf'⟩
#align set.inv_on.bij_on Set.InvOn.bijOn
end InvOn
end Set
/-! ### `invFunOn` is a left/right inverse -/
namespace Function
variable [Nonempty α] {s : Set α} {f : α → β} {a : α} {b : β}
attribute [local instance] Classical.propDecidable
/-- Construct the inverse for a function `f` on domain `s`. This function is a right inverse of `f`
on `f '' s`. For a computable version, see `Function.Embedding.invOfMemRange`. -/
noncomputable def invFunOn (f : α → β) (s : Set α) (b : β) : α :=
if h : ∃ a, a ∈ s ∧ f a = b then Classical.choose h else Classical.choice ‹Nonempty α›
#align function.inv_fun_on Function.invFunOn
theorem invFunOn_pos (h : ∃ a ∈ s, f a = b) : invFunOn f s b ∈ s ∧ f (invFunOn f s b) = b := by
rw [invFunOn, dif_pos h]
exact Classical.choose_spec h
#align function.inv_fun_on_pos Function.invFunOn_pos
theorem invFunOn_mem (h : ∃ a ∈ s, f a = b) : invFunOn f s b ∈ s :=
(invFunOn_pos h).left
#align function.inv_fun_on_mem Function.invFunOn_mem
theorem invFunOn_eq (h : ∃ a ∈ s, f a = b) : f (invFunOn f s b) = b :=
(invFunOn_pos h).right
#align function.inv_fun_on_eq Function.invFunOn_eq
theorem invFunOn_neg (h : ¬∃ a ∈ s, f a = b) : invFunOn f s b = Classical.choice ‹Nonempty α› := by
rw [invFunOn, dif_neg h]
#align function.inv_fun_on_neg Function.invFunOn_neg
@[simp]
theorem invFunOn_apply_mem (h : a ∈ s) : invFunOn f s (f a) ∈ s :=
invFunOn_mem ⟨a, h, rfl⟩
#align function.inv_fun_on_apply_mem Function.invFunOn_apply_mem
theorem invFunOn_apply_eq (h : a ∈ s) : f (invFunOn f s (f a)) = f a :=
invFunOn_eq ⟨a, h, rfl⟩
#align function.inv_fun_on_apply_eq Function.invFunOn_apply_eq
end Function
open Function
namespace Set
variable {s s₁ s₂ : Set α} {t : Set β} {f : α → β}
theorem InjOn.leftInvOn_invFunOn [Nonempty α] (h : InjOn f s) : LeftInvOn (invFunOn f s) f s :=
fun _a ha => h (invFunOn_apply_mem ha) ha (invFunOn_apply_eq ha)
#align set.inj_on.left_inv_on_inv_fun_on Set.InjOn.leftInvOn_invFunOn
theorem InjOn.invFunOn_image [Nonempty α] (h : InjOn f s₂) (ht : s₁ ⊆ s₂) :
invFunOn f s₂ '' (f '' s₁) = s₁ :=
h.leftInvOn_invFunOn.image_image' ht
#align set.inj_on.inv_fun_on_image Set.InjOn.invFunOn_image
theorem _root_.Function.leftInvOn_invFunOn_of_subset_image_image [Nonempty α]
(h : s ⊆ (invFunOn f s) '' (f '' s)) : LeftInvOn (invFunOn f s) f s :=
fun x hx ↦ by
obtain ⟨-, ⟨x, hx', rfl⟩, rfl⟩ := h hx
rw [invFunOn_apply_eq (f := f) hx']
theorem injOn_iff_invFunOn_image_image_eq_self [Nonempty α] :
InjOn f s ↔ (invFunOn f s) '' (f '' s) = s :=
⟨fun h ↦ h.invFunOn_image Subset.rfl, fun h ↦
(Function.leftInvOn_invFunOn_of_subset_image_image h.symm.subset).injOn⟩
theorem _root_.Function.invFunOn_injOn_image [Nonempty α] (f : α → β) (s : Set α) :
Set.InjOn (invFunOn f s) (f '' s) := by
rintro _ ⟨x, hx, rfl⟩ _ ⟨x', hx', rfl⟩ he
rw [← invFunOn_apply_eq (f := f) hx, he, invFunOn_apply_eq (f := f) hx']
theorem _root_.Function.invFunOn_image_image_subset [Nonempty α] (f : α → β) (s : Set α) :
(invFunOn f s) '' (f '' s) ⊆ s := by
rintro _ ⟨_, ⟨x,hx,rfl⟩, rfl⟩; exact invFunOn_apply_mem hx
theorem SurjOn.rightInvOn_invFunOn [Nonempty α] (h : SurjOn f s t) :
RightInvOn (invFunOn f s) f t := fun _y hy => invFunOn_eq <| h hy
#align set.surj_on.right_inv_on_inv_fun_on Set.SurjOn.rightInvOn_invFunOn
theorem BijOn.invOn_invFunOn [Nonempty α] (h : BijOn f s t) : InvOn (invFunOn f s) f s t :=
⟨h.injOn.leftInvOn_invFunOn, h.surjOn.rightInvOn_invFunOn⟩
#align set.bij_on.inv_on_inv_fun_on Set.BijOn.invOn_invFunOn
theorem SurjOn.invOn_invFunOn [Nonempty α] (h : SurjOn f s t) :
InvOn (invFunOn f s) f (invFunOn f s '' t) t := by
refine ⟨?_, h.rightInvOn_invFunOn⟩
rintro _ ⟨y, hy, rfl⟩
rw [h.rightInvOn_invFunOn hy]
#align set.surj_on.inv_on_inv_fun_on Set.SurjOn.invOn_invFunOn
theorem SurjOn.mapsTo_invFunOn [Nonempty α] (h : SurjOn f s t) : MapsTo (invFunOn f s) t s :=
fun _y hy => mem_preimage.2 <| invFunOn_mem <| h hy
#align set.surj_on.maps_to_inv_fun_on Set.SurjOn.mapsTo_invFunOn
/-- This lemma is a special case of `rightInvOn_invFunOn.image_image'`; it may make more sense
to use the other lemma directly in an application. -/
theorem SurjOn.image_invFunOn_image_of_subset [Nonempty α] {r : Set β} (hf : SurjOn f s t)
(hrt : r ⊆ t) : f '' (f.invFunOn s '' r) = r :=
hf.rightInvOn_invFunOn.image_image' hrt
/-- This lemma is a special case of `rightInvOn_invFunOn.image_image`; it may make more sense
to use the other lemma directly in an application. -/
theorem SurjOn.image_invFunOn_image [Nonempty α] (hf : SurjOn f s t) :
f '' (f.invFunOn s '' t) = t :=
hf.rightInvOn_invFunOn.image_image
theorem SurjOn.bijOn_subset [Nonempty α] (h : SurjOn f s t) : BijOn f (invFunOn f s '' t) t := by
refine h.invOn_invFunOn.bijOn ?_ (mapsTo_image _ _)
rintro _ ⟨y, hy, rfl⟩
rwa [h.rightInvOn_invFunOn hy]
#align set.surj_on.bij_on_subset Set.SurjOn.bijOn_subset
theorem surjOn_iff_exists_bijOn_subset : SurjOn f s t ↔ ∃ s' ⊆ s, BijOn f s' t := by
constructor
· rcases eq_empty_or_nonempty t with (rfl | ht)
· exact fun _ => ⟨∅, empty_subset _, bijOn_empty f⟩
· intro h
haveI : Nonempty α := ⟨Classical.choose (h.comap_nonempty ht)⟩
exact ⟨_, h.mapsTo_invFunOn.image_subset, h.bijOn_subset⟩
· rintro ⟨s', hs', hfs'⟩
exact hfs'.surjOn.mono hs' (Subset.refl _)
#align set.surj_on_iff_exists_bij_on_subset Set.surjOn_iff_exists_bijOn_subset
alias ⟨SurjOn.exists_bijOn_subset, _⟩ := Set.surjOn_iff_exists_bijOn_subset
variable (f s)
lemma exists_subset_bijOn : ∃ s' ⊆ s, BijOn f s' (f '' s) :=
surjOn_iff_exists_bijOn_subset.mp (surjOn_image f s)
lemma exists_image_eq_and_injOn : ∃ u, f '' u = f '' s ∧ InjOn f u :=
let ⟨u, _, hfu⟩ := exists_subset_bijOn s f
⟨u, hfu.image_eq, hfu.injOn⟩
variable {f s}
lemma exists_image_eq_injOn_of_subset_range (ht : t ⊆ range f) :
∃ s, f '' s = t ∧ InjOn f s :=
image_preimage_eq_of_subset ht ▸ exists_image_eq_and_injOn _ _
theorem preimage_invFun_of_mem [n : Nonempty α] {f : α → β} (hf : Injective f) {s : Set α}
(h : Classical.choice n ∈ s) : invFun f ⁻¹' s = f '' s ∪ (range f)ᶜ := by
ext x
rcases em (x ∈ range f) with (⟨a, rfl⟩ | hx)
· simp only [mem_preimage, mem_union, mem_compl_iff, mem_range_self, not_true, or_false,
leftInverse_invFun hf _, hf.mem_set_image]
· simp only [mem_preimage, invFun_neg hx, h, hx, mem_union, mem_compl_iff, not_false_iff, or_true]
#align set.preimage_inv_fun_of_mem Set.preimage_invFun_of_mem
theorem preimage_invFun_of_not_mem [n : Nonempty α] {f : α → β} (hf : Injective f) {s : Set α}
(h : Classical.choice n ∉ s) : invFun f ⁻¹' s = f '' s := by
ext x
rcases em (x ∈ range f) with (⟨a, rfl⟩ | hx)
· rw [mem_preimage, leftInverse_invFun hf, hf.mem_set_image]
· have : x ∉ f '' s := fun h' => hx (image_subset_range _ _ h')
simp only [mem_preimage, invFun_neg hx, h, this]
#align set.preimage_inv_fun_of_not_mem Set.preimage_invFun_of_not_mem
lemma BijOn.symm {g : β → α} (h : InvOn f g t s) (hf : BijOn f s t) : BijOn g t s :=
⟨h.2.mapsTo hf.surjOn, h.1.injOn, h.2.surjOn hf.mapsTo⟩
#align set.bij_on.symm Set.BijOn.symm
lemma bijOn_comm {g : β → α} (h : InvOn f g t s) : BijOn f s t ↔ BijOn g t s :=
⟨BijOn.symm h, BijOn.symm h.symm⟩
#align set.bij_on_comm Set.bijOn_comm
end Set
/-! ### Monotone -/
namespace Monotone
variable [Preorder α] [Preorder β] {f : α → β}
protected theorem restrict (h : Monotone f) (s : Set α) : Monotone (s.restrict f) := fun _ _ hxy =>
h hxy
#align monotone.restrict Monotone.restrict
protected theorem codRestrict (h : Monotone f) {s : Set β} (hs : ∀ x, f x ∈ s) :
Monotone (s.codRestrict f hs) :=
h
#align monotone.cod_restrict Monotone.codRestrict
protected theorem rangeFactorization (h : Monotone f) : Monotone (Set.rangeFactorization f) :=
h
#align monotone.range_factorization Monotone.rangeFactorization
end Monotone
/-! ### Piecewise defined function -/
namespace Set
variable {δ : α → Sort*} (s : Set α) (f g : ∀ i, δ i)
@[simp]
theorem piecewise_empty [∀ i : α, Decidable (i ∈ (∅ : Set α))] : piecewise ∅ f g = g := by
ext i
simp [piecewise]
#align set.piecewise_empty Set.piecewise_empty
@[simp]
theorem piecewise_univ [∀ i : α, Decidable (i ∈ (Set.univ : Set α))] :
piecewise Set.univ f g = f := by
ext i
simp [piecewise]
#align set.piecewise_univ Set.piecewise_univ
--@[simp] -- Porting note: simpNF linter complains
theorem piecewise_insert_self {j : α} [∀ i, Decidable (i ∈ insert j s)] :
(insert j s).piecewise f g j = f j := by simp [piecewise]
#align set.piecewise_insert_self Set.piecewise_insert_self
variable [∀ j, Decidable (j ∈ s)]
-- TODO: move!
instance Compl.decidableMem (j : α) : Decidable (j ∈ sᶜ) :=
instDecidableNot
#align set.compl.decidable_mem Set.Compl.decidableMem
theorem piecewise_insert [DecidableEq α] (j : α) [∀ i, Decidable (i ∈ insert j s)] :
(insert j s).piecewise f g = Function.update (s.piecewise f g) j (f j) := by
simp (config := { unfoldPartialApp := true }) only [piecewise, mem_insert_iff]
ext i
by_cases h : i = j
· rw [h]
simp
· by_cases h' : i ∈ s <;> simp [h, h']
#align set.piecewise_insert Set.piecewise_insert
@[simp]
theorem piecewise_eq_of_mem {i : α} (hi : i ∈ s) : s.piecewise f g i = f i :=
if_pos hi
#align set.piecewise_eq_of_mem Set.piecewise_eq_of_mem
@[simp]
theorem piecewise_eq_of_not_mem {i : α} (hi : i ∉ s) : s.piecewise f g i = g i :=
if_neg hi
#align set.piecewise_eq_of_not_mem Set.piecewise_eq_of_not_mem
theorem piecewise_singleton (x : α) [∀ y, Decidable (y ∈ ({x} : Set α))] [DecidableEq α]
(f g : α → β) : piecewise {x} f g = Function.update g x (f x) := by
ext y
by_cases hy : y = x
· subst y
simp
· simp [hy]
#align set.piecewise_singleton Set.piecewise_singleton
theorem piecewise_eqOn (f g : α → β) : EqOn (s.piecewise f g) f s := fun _ =>
piecewise_eq_of_mem _ _ _
#align set.piecewise_eq_on Set.piecewise_eqOn
theorem piecewise_eqOn_compl (f g : α → β) : EqOn (s.piecewise f g) g sᶜ := fun _ =>
piecewise_eq_of_not_mem _ _ _
#align set.piecewise_eq_on_compl Set.piecewise_eqOn_compl
theorem piecewise_le {δ : α → Type*} [∀ i, Preorder (δ i)] {s : Set α} [∀ j, Decidable (j ∈ s)]
{f₁ f₂ g : ∀ i, δ i} (h₁ : ∀ i ∈ s, f₁ i ≤ g i) (h₂ : ∀ i ∉ s, f₂ i ≤ g i) :
s.piecewise f₁ f₂ ≤ g := fun i => if h : i ∈ s then by simp [*] else by simp [*]
#align set.piecewise_le Set.piecewise_le
theorem le_piecewise {δ : α → Type*} [∀ i, Preorder (δ i)] {s : Set α} [∀ j, Decidable (j ∈ s)]
{f₁ f₂ g : ∀ i, δ i} (h₁ : ∀ i ∈ s, g i ≤ f₁ i) (h₂ : ∀ i ∉ s, g i ≤ f₂ i) :
g ≤ s.piecewise f₁ f₂ :=
@piecewise_le α (fun i => (δ i)ᵒᵈ) _ s _ _ _ _ h₁ h₂
#align set.le_piecewise Set.le_piecewise
theorem piecewise_le_piecewise {δ : α → Type*} [∀ i, Preorder (δ i)] {s : Set α}
[∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, δ i} (h₁ : ∀ i ∈ s, f₁ i ≤ g₁ i)
(h₂ : ∀ i ∉ s, f₂ i ≤ g₂ i) : s.piecewise f₁ f₂ ≤ s.piecewise g₁ g₂ := by
apply piecewise_le <;> intros <;> simp [*]
#align set.piecewise_le_piecewise Set.piecewise_le_piecewise
@[simp]
theorem piecewise_insert_of_ne {i j : α} (h : i ≠ j) [∀ i, Decidable (i ∈ insert j s)] :
(insert j s).piecewise f g i = s.piecewise f g i := by simp [piecewise, h]
#align set.piecewise_insert_of_ne Set.piecewise_insert_of_ne
@[simp]
theorem piecewise_compl [∀ i, Decidable (i ∈ sᶜ)] : sᶜ.piecewise f g = s.piecewise g f :=
funext fun x => if hx : x ∈ s then by simp [hx] else by simp [hx]
#align set.piecewise_compl Set.piecewise_compl
@[simp]
theorem piecewise_range_comp {ι : Sort*} (f : ι → α) [∀ j, Decidable (j ∈ range f)]
(g₁ g₂ : α → β) : (range f).piecewise g₁ g₂ ∘ f = g₁ ∘ f :=
(piecewise_eqOn ..).comp_eq
#align set.piecewise_range_comp Set.piecewise_range_comp
theorem MapsTo.piecewise_ite {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {f₁ f₂ : α → β}
[∀ i, Decidable (i ∈ s)] (h₁ : MapsTo f₁ (s₁ ∩ s) (t₁ ∩ t))
(h₂ : MapsTo f₂ (s₂ ∩ sᶜ) (t₂ ∩ tᶜ)) :
MapsTo (s.piecewise f₁ f₂) (s.ite s₁ s₂) (t.ite t₁ t₂) := by
refine (h₁.congr ?_).union_union (h₂.congr ?_)
exacts [(piecewise_eqOn s f₁ f₂).symm.mono inter_subset_right,
(piecewise_eqOn_compl s f₁ f₂).symm.mono inter_subset_right]
#align set.maps_to.piecewise_ite Set.MapsTo.piecewise_ite
theorem eqOn_piecewise {f f' g : α → β} {t} :
EqOn (s.piecewise f f') g t ↔ EqOn f g (t ∩ s) ∧ EqOn f' g (t ∩ sᶜ) := by
simp only [EqOn, ← forall_and]
refine forall_congr' fun a => ?_; by_cases a ∈ s <;> simp [*]
#align set.eq_on_piecewise Set.eqOn_piecewise
theorem EqOn.piecewise_ite' {f f' g : α → β} {t t'} (h : EqOn f g (t ∩ s))
(h' : EqOn f' g (t' ∩ sᶜ)) : EqOn (s.piecewise f f') g (s.ite t t') := by
simp [eqOn_piecewise, *]
#align set.eq_on.piecewise_ite' Set.EqOn.piecewise_ite'
theorem EqOn.piecewise_ite {f f' g : α → β} {t t'} (h : EqOn f g t) (h' : EqOn f' g t') :
EqOn (s.piecewise f f') g (s.ite t t') :=
(h.mono inter_subset_left).piecewise_ite' s (h'.mono inter_subset_left)
#align set.eq_on.piecewise_ite Set.EqOn.piecewise_ite
theorem piecewise_preimage (f g : α → β) (t) : s.piecewise f g ⁻¹' t = s.ite (f ⁻¹' t) (g ⁻¹' t) :=
ext fun x => by by_cases x ∈ s <;> simp [*, Set.ite]
#align set.piecewise_preimage Set.piecewise_preimage
theorem apply_piecewise {δ' : α → Sort*} (h : ∀ i, δ i → δ' i) {x : α} :
h x (s.piecewise f g x) = s.piecewise (fun x => h x (f x)) (fun x => h x (g x)) x := by
by_cases hx : x ∈ s <;> simp [hx]
#align set.apply_piecewise Set.apply_piecewise
theorem apply_piecewise₂ {δ' δ'' : α → Sort*} (f' g' : ∀ i, δ' i) (h : ∀ i, δ i → δ' i → δ'' i)
{x : α} :
h x (s.piecewise f g x) (s.piecewise f' g' x) =
s.piecewise (fun x => h x (f x) (f' x)) (fun x => h x (g x) (g' x)) x := by
by_cases hx : x ∈ s <;> simp [hx]
#align set.apply_piecewise₂ Set.apply_piecewise₂
theorem piecewise_op {δ' : α → Sort*} (h : ∀ i, δ i → δ' i) :
(s.piecewise (fun x => h x (f x)) fun x => h x (g x)) = fun x => h x (s.piecewise f g x) :=
funext fun _ => (apply_piecewise _ _ _ _).symm
#align set.piecewise_op Set.piecewise_op
theorem piecewise_op₂ {δ' δ'' : α → Sort*} (f' g' : ∀ i, δ' i) (h : ∀ i, δ i → δ' i → δ'' i) :
(s.piecewise (fun x => h x (f x) (f' x)) fun x => h x (g x) (g' x)) = fun x =>
h x (s.piecewise f g x) (s.piecewise f' g' x) :=
funext fun _ => (apply_piecewise₂ _ _ _ _ _ _).symm
#align set.piecewise_op₂ Set.piecewise_op₂
@[simp]
theorem piecewise_same : s.piecewise f f = f := by
ext x
by_cases hx : x ∈ s <;> simp [hx]
#align set.piecewise_same Set.piecewise_same
theorem range_piecewise (f g : α → β) : range (s.piecewise f g) = f '' s ∪ g '' sᶜ := by
ext y; constructor
· rintro ⟨x, rfl⟩
by_cases h : x ∈ s <;> [left; right] <;> use x <;> simp [h]
· rintro (⟨x, hx, rfl⟩ | ⟨x, hx, rfl⟩) <;> use x <;> simp_all
#align set.range_piecewise Set.range_piecewise
theorem injective_piecewise_iff {f g : α → β} :
Injective (s.piecewise f g) ↔
InjOn f s ∧ InjOn g sᶜ ∧ ∀ x ∈ s, ∀ y ∉ s, f x ≠ g y := by
rw [injective_iff_injOn_univ, ← union_compl_self s, injOn_union (@disjoint_compl_right _ _ s),
(piecewise_eqOn s f g).injOn_iff, (piecewise_eqOn_compl s f g).injOn_iff]
refine and_congr Iff.rfl (and_congr Iff.rfl <| forall₄_congr fun x hx y hy => ?_)
rw [piecewise_eq_of_mem s f g hx, piecewise_eq_of_not_mem s f g hy]
#align set.injective_piecewise_iff Set.injective_piecewise_iff
theorem piecewise_mem_pi {δ : α → Type*} {t : Set α} {t' : ∀ i, Set (δ i)} {f g} (hf : f ∈ pi t t')
(hg : g ∈ pi t t') : s.piecewise f g ∈ pi t t' := by
intro i ht
by_cases hs : i ∈ s <;> simp [hf i ht, hg i ht, hs]
#align set.piecewise_mem_pi Set.piecewise_mem_pi
@[simp]
theorem pi_piecewise {ι : Type*} {α : ι → Type*} (s s' : Set ι) (t t' : ∀ i, Set (α i))
[∀ x, Decidable (x ∈ s')] : pi s (s'.piecewise t t') = pi (s ∩ s') t ∩ pi (s \ s') t' :=
pi_if _ _ _
#align set.pi_piecewise Set.pi_piecewise
-- Porting note (#10756): new lemma
theorem univ_pi_piecewise {ι : Type*} {α : ι → Type*} (s : Set ι) (t t' : ∀ i, Set (α i))
[∀ x, Decidable (x ∈ s)] : pi univ (s.piecewise t t') = pi s t ∩ pi sᶜ t' := by
simp [compl_eq_univ_diff]
theorem univ_pi_piecewise_univ {ι : Type*} {α : ι → Type*} (s : Set ι) (t : ∀ i, Set (α i))
[∀ x, Decidable (x ∈ s)] : pi univ (s.piecewise t fun _ => univ) = pi s t := by simp
#align set.univ_pi_piecewise Set.univ_pi_piecewise_univ
end Set
section strictMono
theorem StrictMonoOn.injOn [LinearOrder α] [Preorder β] {f : α → β} {s : Set α}
(H : StrictMonoOn f s) : s.InjOn f := fun x hx y hy hxy =>
show Ordering.eq.Compares x y from (H.compares hx hy).1 hxy
#align strict_mono_on.inj_on StrictMonoOn.injOn
theorem StrictAntiOn.injOn [LinearOrder α] [Preorder β] {f : α → β} {s : Set α}
(H : StrictAntiOn f s) : s.InjOn f :=
@StrictMonoOn.injOn α βᵒᵈ _ _ f s H
#align strict_anti_on.inj_on StrictAntiOn.injOn
theorem StrictMonoOn.comp [Preorder α] [Preorder β] [Preorder γ] {g : β → γ} {f : α → β} {s : Set α}
{t : Set β} (hg : StrictMonoOn g t) (hf : StrictMonoOn f s) (hs : Set.MapsTo f s t) :
StrictMonoOn (g ∘ f) s := fun _x hx _y hy hxy => hg (hs hx) (hs hy) <| hf hx hy hxy
#align strict_mono_on.comp StrictMonoOn.comp
theorem StrictMonoOn.comp_strictAntiOn [Preorder α] [Preorder β] [Preorder γ] {g : β → γ}
{f : α → β} {s : Set α} {t : Set β} (hg : StrictMonoOn g t) (hf : StrictAntiOn f s)
(hs : Set.MapsTo f s t) : StrictAntiOn (g ∘ f) s := fun _x hx _y hy hxy =>
hg (hs hy) (hs hx) <| hf hx hy hxy
#align strict_mono_on.comp_strict_anti_on StrictMonoOn.comp_strictAntiOn
theorem StrictAntiOn.comp [Preorder α] [Preorder β] [Preorder γ] {g : β → γ} {f : α → β} {s : Set α}
{t : Set β} (hg : StrictAntiOn g t) (hf : StrictAntiOn f s) (hs : Set.MapsTo f s t) :
StrictMonoOn (g ∘ f) s := fun _x hx _y hy hxy => hg (hs hy) (hs hx) <| hf hx hy hxy
#align strict_anti_on.comp StrictAntiOn.comp
theorem StrictAntiOn.comp_strictMonoOn [Preorder α] [Preorder β] [Preorder γ] {g : β → γ}
{f : α → β} {s : Set α} {t : Set β} (hg : StrictAntiOn g t) (hf : StrictMonoOn f s)
(hs : Set.MapsTo f s t) : StrictAntiOn (g ∘ f) s := fun _x hx _y hy hxy =>
hg (hs hx) (hs hy) <| hf hx hy hxy
#align strict_anti_on.comp_strict_mono_on StrictAntiOn.comp_strictMonoOn
@[simp]
theorem strictMono_restrict [Preorder α] [Preorder β] {f : α → β} {s : Set α} :
StrictMono (s.restrict f) ↔ StrictMonoOn f s := by simp [Set.restrict, StrictMono, StrictMonoOn]
#align strict_mono_restrict strictMono_restrict
alias ⟨_root_.StrictMono.of_restrict, _root_.StrictMonoOn.restrict⟩ := strictMono_restrict
#align strict_mono.of_restrict StrictMono.of_restrict
#align strict_mono_on.restrict StrictMonoOn.restrict
theorem StrictMono.codRestrict [Preorder α] [Preorder β] {f : α → β} (hf : StrictMono f)
{s : Set β} (hs : ∀ x, f x ∈ s) : StrictMono (Set.codRestrict f s hs) :=
hf
#align strict_mono.cod_restrict StrictMono.codRestrict
end strictMono
namespace Function
open Set
variable {fa : α → α} {fb : β → β} {f : α → β} {g : β → γ} {s t : Set α}
theorem Injective.comp_injOn (hg : Injective g) (hf : s.InjOn f) : s.InjOn (g ∘ f) :=
hg.injOn.comp hf (mapsTo_univ _ _)
#align function.injective.comp_inj_on Function.Injective.comp_injOn
theorem Surjective.surjOn (hf : Surjective f) (s : Set β) : SurjOn f univ s :=
(surjective_iff_surjOn_univ.1 hf).mono (Subset.refl _) (subset_univ _)
#align function.surjective.surj_on Function.Surjective.surjOn
theorem LeftInverse.leftInvOn {g : β → α} (h : LeftInverse f g) (s : Set β) : LeftInvOn f g s :=
fun x _ => h x
#align function.left_inverse.left_inv_on Function.LeftInverse.leftInvOn
theorem RightInverse.rightInvOn {g : β → α} (h : RightInverse f g) (s : Set α) :
RightInvOn f g s := fun x _ => h x
#align function.right_inverse.right_inv_on Function.RightInverse.rightInvOn
theorem LeftInverse.rightInvOn_range {g : β → α} (h : LeftInverse f g) :
RightInvOn f g (range g) :=
forall_mem_range.2 fun i => congr_arg g (h i)
#align function.left_inverse.right_inv_on_range Function.LeftInverse.rightInvOn_range
namespace Semiconj
theorem mapsTo_image (h : Semiconj f fa fb) (ha : MapsTo fa s t) : MapsTo fb (f '' s) (f '' t) :=
fun _y ⟨x, hx, hy⟩ => hy ▸ ⟨fa x, ha hx, h x⟩
#align function.semiconj.maps_to_image Function.Semiconj.mapsTo_image
theorem mapsTo_range (h : Semiconj f fa fb) : MapsTo fb (range f) (range f) := fun _y ⟨x, hy⟩ =>
hy ▸ ⟨fa x, h x⟩
#align function.semiconj.maps_to_range Function.Semiconj.mapsTo_range
theorem surjOn_image (h : Semiconj f fa fb) (ha : SurjOn fa s t) : SurjOn fb (f '' s) (f '' t) := by
rintro y ⟨x, hxt, rfl⟩
rcases ha hxt with ⟨x, hxs, rfl⟩
rw [h x]
exact mem_image_of_mem _ (mem_image_of_mem _ hxs)
#align function.semiconj.surj_on_image Function.Semiconj.surjOn_image
theorem surjOn_range (h : Semiconj f fa fb) (ha : Surjective fa) :
SurjOn fb (range f) (range f) := by
rw [← image_univ]
exact h.surjOn_image (ha.surjOn univ)
#align function.semiconj.surj_on_range Function.Semiconj.surjOn_range
theorem injOn_image (h : Semiconj f fa fb) (ha : InjOn fa s) (hf : InjOn f (fa '' s)) :
InjOn fb (f '' s) := by
rintro _ ⟨x, hx, rfl⟩ _ ⟨y, hy, rfl⟩ H
simp only [← h.eq] at H
exact congr_arg f (ha hx hy <| hf (mem_image_of_mem fa hx) (mem_image_of_mem fa hy) H)
#align function.semiconj.inj_on_image Function.Semiconj.injOn_image
| Mathlib/Data/Set/Function.lean | 1,829 | 1,832 | theorem injOn_range (h : Semiconj f fa fb) (ha : Injective fa) (hf : InjOn f (range fa)) :
InjOn fb (range f) := by |
rw [← image_univ] at *
exact h.injOn_image ha.injOn hf
|
/-
Copyright (c) 2020 Fox Thomson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Fox Thomson
-/
import Mathlib.SetTheory.Game.Basic
import Mathlib.Tactic.NthRewrite
#align_import set_theory.game.impartial from "leanprover-community/mathlib"@"2e0975f6a25dd3fbfb9e41556a77f075f6269748"
/-!
# Basic definitions about impartial (pre-)games
We will define an impartial game, one in which left and right can make exactly the same moves.
Our definition differs slightly by saying that the game is always equivalent to its negative,
no matter what moves are played. This allows for games such as poker-nim to be classified as
impartial.
-/
universe u
namespace SetTheory
open scoped PGame
namespace PGame
/-- The definition for an impartial game, defined using Conway induction. -/
def ImpartialAux : PGame → Prop
| G => (G ≈ -G) ∧ (∀ i, ImpartialAux (G.moveLeft i)) ∧ ∀ j, ImpartialAux (G.moveRight j)
termination_by G => G -- Porting note: Added `termination_by`
#align pgame.impartial_aux SetTheory.PGame.ImpartialAux
theorem impartialAux_def {G : PGame} :
G.ImpartialAux ↔
(G ≈ -G) ∧ (∀ i, ImpartialAux (G.moveLeft i)) ∧ ∀ j, ImpartialAux (G.moveRight j) := by
rw [ImpartialAux]
#align pgame.impartial_aux_def SetTheory.PGame.impartialAux_def
/-- A typeclass on impartial games. -/
class Impartial (G : PGame) : Prop where
out : ImpartialAux G
#align pgame.impartial SetTheory.PGame.Impartial
theorem impartial_iff_aux {G : PGame} : G.Impartial ↔ G.ImpartialAux :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
#align pgame.impartial_iff_aux SetTheory.PGame.impartial_iff_aux
theorem impartial_def {G : PGame} :
G.Impartial ↔ (G ≈ -G) ∧ (∀ i, Impartial (G.moveLeft i)) ∧ ∀ j, Impartial (G.moveRight j) := by
simpa only [impartial_iff_aux] using impartialAux_def
#align pgame.impartial_def SetTheory.PGame.impartial_def
namespace Impartial
instance impartial_zero : Impartial 0 := by rw [impartial_def]; dsimp; simp
#align pgame.impartial.impartial_zero SetTheory.PGame.Impartial.impartial_zero
instance impartial_star : Impartial star := by
rw [impartial_def]; simpa using Impartial.impartial_zero
#align pgame.impartial.impartial_star SetTheory.PGame.Impartial.impartial_star
theorem neg_equiv_self (G : PGame) [h : G.Impartial] : G ≈ -G :=
(impartial_def.1 h).1
#align pgame.impartial.neg_equiv_self SetTheory.PGame.Impartial.neg_equiv_self
-- Porting note: Changed `-⟦G⟧` to `-(⟦G⟧ : Quotient setoid)`
@[simp]
theorem mk'_neg_equiv_self (G : PGame) [G.Impartial] : -(⟦G⟧ : Quotient setoid) = ⟦G⟧ :=
Quot.sound (Equiv.symm (neg_equiv_self G))
#align pgame.impartial.mk_neg_equiv_self SetTheory.PGame.Impartial.mk'_neg_equiv_self
instance moveLeft_impartial {G : PGame} [h : G.Impartial] (i : G.LeftMoves) :
(G.moveLeft i).Impartial :=
(impartial_def.1 h).2.1 i
#align pgame.impartial.move_left_impartial SetTheory.PGame.Impartial.moveLeft_impartial
instance moveRight_impartial {G : PGame} [h : G.Impartial] (j : G.RightMoves) :
(G.moveRight j).Impartial :=
(impartial_def.1 h).2.2 j
#align pgame.impartial.move_right_impartial SetTheory.PGame.Impartial.moveRight_impartial
theorem impartial_congr : ∀ {G H : PGame} (_ : G ≡r H) [G.Impartial], H.Impartial
| G, H => fun e => by
intro h
exact impartial_def.2
⟨Equiv.trans e.symm.equiv (Equiv.trans (neg_equiv_self G) (neg_equiv_neg_iff.2 e.equiv)),
fun i => impartial_congr (e.moveLeftSymm i), fun j => impartial_congr (e.moveRightSymm j)⟩
termination_by G H => (G, H)
#align pgame.impartial.impartial_congr SetTheory.PGame.Impartial.impartial_congr
instance impartial_add : ∀ (G H : PGame) [G.Impartial] [H.Impartial], (G + H).Impartial
| G, H, _, _ => by
rw [impartial_def]
refine ⟨Equiv.trans (add_congr (neg_equiv_self G) (neg_equiv_self _))
(Equiv.symm (negAddRelabelling _ _).equiv), fun k => ?_, fun k => ?_⟩
· apply leftMoves_add_cases k
all_goals
intro i; simp only [add_moveLeft_inl, add_moveLeft_inr]
apply impartial_add
· apply rightMoves_add_cases k
all_goals
intro i; simp only [add_moveRight_inl, add_moveRight_inr]
apply impartial_add
termination_by G H => (G, H)
#align pgame.impartial.impartial_add SetTheory.PGame.Impartial.impartial_add
instance impartial_neg : ∀ (G : PGame) [G.Impartial], (-G).Impartial
| G, _ => by
rw [impartial_def]
refine ⟨?_, fun i => ?_, fun i => ?_⟩
· rw [neg_neg]
exact Equiv.symm (neg_equiv_self G)
· rw [moveLeft_neg']
apply impartial_neg
· rw [moveRight_neg']
apply impartial_neg
termination_by G => G
#align pgame.impartial.impartial_neg SetTheory.PGame.Impartial.impartial_neg
variable (G : PGame) [Impartial G]
theorem nonpos : ¬0 < G := fun h => by
have h' := neg_lt_neg_iff.2 h
rw [neg_zero, lt_congr_left (Equiv.symm (neg_equiv_self G))] at h'
exact (h.trans h').false
#align pgame.impartial.nonpos SetTheory.PGame.Impartial.nonpos
theorem nonneg : ¬G < 0 := fun h => by
have h' := neg_lt_neg_iff.2 h
rw [neg_zero, lt_congr_right (Equiv.symm (neg_equiv_self G))] at h'
exact (h.trans h').false
#align pgame.impartial.nonneg SetTheory.PGame.Impartial.nonneg
/-- In an impartial game, either the first player always wins, or the second player always wins. -/
theorem equiv_or_fuzzy_zero : (G ≈ 0) ∨ G ‖ 0 := by
rcases lt_or_equiv_or_gt_or_fuzzy G 0 with (h | h | h | h)
· exact ((nonneg G) h).elim
· exact Or.inl h
· exact ((nonpos G) h).elim
· exact Or.inr h
#align pgame.impartial.equiv_or_fuzzy_zero SetTheory.PGame.Impartial.equiv_or_fuzzy_zero
@[simp]
theorem not_equiv_zero_iff : ¬(G ≈ 0) ↔ G ‖ 0 :=
⟨(equiv_or_fuzzy_zero G).resolve_left, Fuzzy.not_equiv⟩
#align pgame.impartial.not_equiv_zero_iff SetTheory.PGame.Impartial.not_equiv_zero_iff
@[simp]
theorem not_fuzzy_zero_iff : ¬G ‖ 0 ↔ (G ≈ 0) :=
⟨(equiv_or_fuzzy_zero G).resolve_right, Equiv.not_fuzzy⟩
#align pgame.impartial.not_fuzzy_zero_iff SetTheory.PGame.Impartial.not_fuzzy_zero_iff
theorem add_self : G + G ≈ 0 :=
Equiv.trans (add_congr_left (neg_equiv_self G)) (add_left_neg_equiv G)
#align pgame.impartial.add_self SetTheory.PGame.Impartial.add_self
-- Porting note: Changed `⟦G⟧` to `(⟦G⟧ : Quotient setoid)`
@[simp]
theorem mk'_add_self : (⟦G⟧ : Quotient setoid) + ⟦G⟧ = 0 :=
Quot.sound (add_self G)
#align pgame.impartial.mk_add_self SetTheory.PGame.Impartial.mk'_add_self
/-- This lemma doesn't require `H` to be impartial. -/
theorem equiv_iff_add_equiv_zero (H : PGame) : (H ≈ G) ↔ (H + G ≈ 0) := by
rw [Game.PGame.equiv_iff_game_eq, ← @add_right_cancel_iff _ _ _ ⟦G⟧, mk'_add_self, ← quot_add,
Game.PGame.equiv_iff_game_eq]
rfl
#align pgame.impartial.equiv_iff_add_equiv_zero SetTheory.PGame.Impartial.equiv_iff_add_equiv_zero
/-- This lemma doesn't require `H` to be impartial. -/
theorem equiv_iff_add_equiv_zero' (H : PGame) : (G ≈ H) ↔ (G + H ≈ 0) := by
rw [Game.PGame.equiv_iff_game_eq, ← @add_left_cancel_iff _ _ _ ⟦G⟧, mk'_add_self, ← quot_add,
Game.PGame.equiv_iff_game_eq]
exact ⟨Eq.symm, Eq.symm⟩
#align pgame.impartial.equiv_iff_add_equiv_zero' SetTheory.PGame.Impartial.equiv_iff_add_equiv_zero'
| Mathlib/SetTheory/Game/Impartial.lean | 179 | 180 | theorem le_zero_iff {G : PGame} [G.Impartial] : G ≤ 0 ↔ 0 ≤ G := by |
rw [← zero_le_neg_iff, le_congr_right (neg_equiv_self G)]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Buzzard, Yury Kudryashov, Frédéric Dupuis,
Heather Macbeth
-/
import Mathlib.Algebra.Module.Submodule.EqLocus
import Mathlib.Algebra.Module.Submodule.RestrictScalars
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.Data.Set.Pointwise.SMul
import Mathlib.LinearAlgebra.Basic
import Mathlib.Order.CompactlyGenerated.Basic
import Mathlib.Order.OmegaCompletePartialOrder
#align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0"
/-!
# The span of a set of vectors, as a submodule
* `Submodule.span s` is defined to be the smallest submodule containing the set `s`.
## Notations
* We introduce the notation `R ∙ v` for the span of a singleton, `Submodule.span R {v}`. This is
`\span`, not the same as the scalar multiplication `•`/`\bub`.
-/
variable {R R₂ K M M₂ V S : Type*}
namespace Submodule
open Function Set
open Pointwise
section AddCommMonoid
variable [Semiring R] [AddCommMonoid M] [Module R M]
variable {x : M} (p p' : Submodule R M)
variable [Semiring R₂] {σ₁₂ : R →+* R₂}
variable [AddCommMonoid M₂] [Module R₂ M₂]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂]
section
variable (R)
/-- The span of a set `s ⊆ M` is the smallest submodule of M that contains `s`. -/
def span (s : Set M) : Submodule R M :=
sInf { p | s ⊆ p }
#align submodule.span Submodule.span
variable {R}
-- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument
/-- An `R`-submodule of `M` is principal if it is generated by one element. -/
@[mk_iff]
class IsPrincipal (S : Submodule R M) : Prop where
principal' : ∃ a, S = span R {a}
#align submodule.is_principal Submodule.IsPrincipal
theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] :
∃ a, S = span R {a} :=
Submodule.IsPrincipal.principal'
#align submodule.is_principal.principal Submodule.IsPrincipal.principal
end
variable {s t : Set M}
theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p :=
mem_iInter₂
#align submodule.mem_span Submodule.mem_span
@[aesop safe 20 apply (rule_sets := [SetLike])]
theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h
#align submodule.subset_span Submodule.subset_span
theorem span_le {p} : span R s ≤ p ↔ s ⊆ p :=
⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩
#align submodule.span_le Submodule.span_le
theorem span_mono (h : s ⊆ t) : span R s ≤ span R t :=
span_le.2 <| Subset.trans h subset_span
#align submodule.span_mono Submodule.span_mono
theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono
#align submodule.span_monotone Submodule.span_monotone
theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p :=
le_antisymm (span_le.2 h₁) h₂
#align submodule.span_eq_of_le Submodule.span_eq_of_le
theorem span_eq : span R (p : Set M) = p :=
span_eq_of_le _ (Subset.refl _) subset_span
#align submodule.span_eq Submodule.span_eq
theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t :=
le_antisymm (span_le.2 hs) (span_le.2 ht)
#align submodule.span_eq_span Submodule.span_eq_span
/-- A version of `Submodule.span_eq` for subobjects closed under addition and scalar multiplication
and containing zero. In general, this should not be used directly, but can be used to quickly
generate proofs for specific types of subobjects. -/
lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) :
(span R (s : Set M) : Set M) = s := by
refine le_antisymm ?_ subset_span
let s' : Submodule R M :=
{ carrier := s
add_mem' := add_mem
zero_mem' := zero_mem _
smul_mem' := SMulMemClass.smul_mem }
exact span_le (p := s') |>.mpr le_rfl
/-- A version of `Submodule.span_eq` for when the span is by a smaller ring. -/
@[simp]
theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] :
span S (p : Set M) = p.restrictScalars S :=
span_eq (p.restrictScalars S)
#align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars
/-- A version of `Submodule.map_span_le` that does not require the `RingHomSurjective`
assumption. -/
theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) :
f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f)
theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) :=
(image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩
theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) :
(span R s).map f = span R₂ (f '' s) :=
Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s)
#align submodule.map_span Submodule.map_span
alias _root_.LinearMap.map_span := Submodule.map_span
#align linear_map.map_span LinearMap.map_span
theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) :
map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N
#align submodule.map_span_le Submodule.map_span_le
alias _root_.LinearMap.map_span_le := Submodule.map_span_le
#align linear_map.map_span_le LinearMap.map_span_le
@[simp]
theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by
refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s))
rw [span_le, Set.insert_subset_iff]
exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩
#align submodule.span_insert_zero Submodule.span_insert_zero
-- See also `span_preimage_eq` below.
theorem span_preimage_le (f : F) (s : Set M₂) :
span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by
rw [span_le, comap_coe]
exact preimage_mono subset_span
#align submodule.span_preimage_le Submodule.span_preimage_le
alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le
#align linear_map.span_preimage_le LinearMap.span_preimage_le
theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s :=
(@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span
#align submodule.closure_subset_span Submodule.closure_subset_span
theorem closure_le_toAddSubmonoid_span {s : Set M} :
AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid :=
closure_subset_span
#align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span
@[simp]
theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s :=
le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure)
#align submodule.span_closure Submodule.span_closure
/-- An induction principle for span membership. If `p` holds for 0 and all elements of `s`, and is
preserved under addition and scalar multiplication, then `p` holds for all elements of the span of
`s`. -/
@[elab_as_elim]
theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x :=
((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h
#align submodule.span_induction Submodule.span_induction
/-- An induction principle for span membership. This is a version of `Submodule.span_induction`
for binary predicates. -/
theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s)
(hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y)
(zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0)
(add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y)
(add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂))
(smul_left : ∀ (r : R) x y, p x y → p (r • x) y)
(smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b :=
Submodule.span_induction ha
(fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r =>
smul_right r x)
(zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b
/-- A dependent version of `Submodule.span_induction`. -/
@[elab_as_elim]
theorem span_induction' {p : ∀ x, x ∈ span R s → Prop}
(mem : ∀ (x) (h : x ∈ s), p x (subset_span h))
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc
refine
span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩
(fun x y hx hy =>
Exists.elim hx fun hx' hx =>
Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩
#align submodule.span_induction' Submodule.span_induction'
open AddSubmonoid in
theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by
refine le_antisymm
(fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩)
(zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_)
(closure_le.2 ?_)
· rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm)
· rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩
· rw [smul_zero]; apply zero_mem
· rw [smul_add]; exact add_mem h h'
/-- A variant of `span_induction` that combines `∀ x ∈ s, p x` and `∀ r x, p x → p (r • x)`
into a single condition `∀ r, ∀ x ∈ s, p (r • x)`, which can be easier to verify. -/
@[elab_as_elim]
theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0)
(add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by
rw [← mem_toAddSubmonoid, span_eq_closure] at h
refine AddSubmonoid.closure_induction h ?_ zero add
rintro _ ⟨r, -, m, hm, rfl⟩
exact smul_mem r m hm
/-- A dependent version of `Submodule.closure_induction`. -/
@[elab_as_elim]
theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop}
(zero : p 0 (Submodule.zero_mem _))
(add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›))
(smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x}
(hx : x ∈ span R s) : p x hx := by
refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc
refine closure_induction hx ⟨zero_mem _, zero⟩
(fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦
Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩)
fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩
@[simp]
theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ :=
eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by
refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s))
(fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx
· exact zero_mem _
· exact add_mem
· exact smul_mem _ _
#align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage
@[simp]
lemma span_setOf_mem_eq_top :
span R {x : span R s | (x : M) ∈ s} = ⊤ :=
span_span_coe_preimage
theorem span_nat_eq_addSubmonoid_closure (s : Set M) :
(span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by
refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_)
apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le
(a := span ℕ s) (b := AddSubmonoid.closure s)
rw [span_le]
exact AddSubmonoid.subset_closure
#align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure
@[simp]
theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by
rw [span_nat_eq_addSubmonoid_closure, s.closure_eq]
#align submodule.span_nat_eq Submodule.span_nat_eq
theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) :
(span ℤ s).toAddSubgroup = AddSubgroup.closure s :=
Eq.symm <|
AddSubgroup.closure_eq_of_le _ subset_span fun x hx =>
span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _)
(fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _
#align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure
@[simp]
theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) :
(span ℤ (s : Set M)).toAddSubgroup = s := by rw [span_int_eq_addSubgroup_closure, s.closure_eq]
#align submodule.span_int_eq Submodule.span_int_eq
section
variable (R M)
/-- `span` forms a Galois insertion with the coercion from submodule to set. -/
protected def gi : GaloisInsertion (@span R M _ _ _) (↑) where
choice s _ := span R s
gc _ _ := span_le
le_l_u _ := subset_span
choice_eq _ _ := rfl
#align submodule.gi Submodule.gi
end
@[simp]
theorem span_empty : span R (∅ : Set M) = ⊥ :=
(Submodule.gi R M).gc.l_bot
#align submodule.span_empty Submodule.span_empty
@[simp]
theorem span_univ : span R (univ : Set M) = ⊤ :=
eq_top_iff.2 <| SetLike.le_def.2 <| subset_span
#align submodule.span_univ Submodule.span_univ
theorem span_union (s t : Set M) : span R (s ∪ t) = span R s ⊔ span R t :=
(Submodule.gi R M).gc.l_sup
#align submodule.span_union Submodule.span_union
theorem span_iUnion {ι} (s : ι → Set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) :=
(Submodule.gi R M).gc.l_iSup
#align submodule.span_Union Submodule.span_iUnion
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
/- ./././Mathport/Syntax/Translate/Expr.lean:107:6: warning: expanding binder group (i j) -/
theorem span_iUnion₂ {ι} {κ : ι → Sort*} (s : ∀ i, κ i → Set M) :
span R (⋃ (i) (j), s i j) = ⨆ (i) (j), span R (s i j) :=
(Submodule.gi R M).gc.l_iSup₂
#align submodule.span_Union₂ Submodule.span_iUnion₂
theorem span_attach_biUnion [DecidableEq M] {α : Type*} (s : Finset α) (f : s → Finset M) :
span R (s.attach.biUnion f : Set M) = ⨆ x, span R (f x) := by simp [span_iUnion]
#align submodule.span_attach_bUnion Submodule.span_attach_biUnion
theorem sup_span : p ⊔ span R s = span R (p ∪ s) := by rw [Submodule.span_union, p.span_eq]
#align submodule.sup_span Submodule.sup_span
theorem span_sup : span R s ⊔ p = span R (s ∪ p) := by rw [Submodule.span_union, p.span_eq]
#align submodule.span_sup Submodule.span_sup
notation:1000
/- Note that the character `∙` U+2219 used below is different from the scalar multiplication
character `•` U+2022. -/
R " ∙ " x => span R (singleton x)
theorem span_eq_iSup_of_singleton_spans (s : Set M) : span R s = ⨆ x ∈ s, R ∙ x := by
simp only [← span_iUnion, Set.biUnion_of_singleton s]
#align submodule.span_eq_supr_of_singleton_spans Submodule.span_eq_iSup_of_singleton_spans
theorem span_range_eq_iSup {ι : Sort*} {v : ι → M} : span R (range v) = ⨆ i, R ∙ v i := by
rw [span_eq_iSup_of_singleton_spans, iSup_range]
#align submodule.span_range_eq_supr Submodule.span_range_eq_iSup
theorem span_smul_le (s : Set M) (r : R) : span R (r • s) ≤ span R s := by
rw [span_le]
rintro _ ⟨x, hx, rfl⟩
exact smul_mem (span R s) r (subset_span hx)
#align submodule.span_smul_le Submodule.span_smul_le
theorem subset_span_trans {U V W : Set M} (hUV : U ⊆ Submodule.span R V)
(hVW : V ⊆ Submodule.span R W) : U ⊆ Submodule.span R W :=
(Submodule.gi R M).gc.le_u_l_trans hUV hVW
#align submodule.subset_span_trans Submodule.subset_span_trans
/-- See `Submodule.span_smul_eq` (in `RingTheory.Ideal.Operations`) for
`span R (r • s) = r • span R s` that holds for arbitrary `r` in a `CommSemiring`. -/
theorem span_smul_eq_of_isUnit (s : Set M) (r : R) (hr : IsUnit r) : span R (r • s) = span R s := by
apply le_antisymm
· apply span_smul_le
· convert span_smul_le (r • s) ((hr.unit⁻¹ : _) : R)
rw [smul_smul]
erw [hr.unit.inv_val]
rw [one_smul]
#align submodule.span_smul_eq_of_is_unit Submodule.span_smul_eq_of_isUnit
@[simp]
theorem coe_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M)
(H : Directed (· ≤ ·) S) : ((iSup S: Submodule R M) : Set M) = ⋃ i, S i :=
let s : Submodule R M :=
{ __ := AddSubmonoid.copy _ _ (AddSubmonoid.coe_iSup_of_directed H).symm
smul_mem' := fun r _ hx ↦ have ⟨i, hi⟩ := Set.mem_iUnion.mp hx
Set.mem_iUnion.mpr ⟨i, (S i).smul_mem' r hi⟩ }
have : iSup S = s := le_antisymm
(iSup_le fun i ↦ le_iSup (fun i ↦ (S i : Set M)) i) (Set.iUnion_subset fun _ ↦ le_iSup S _)
this.symm ▸ rfl
#align submodule.coe_supr_of_directed Submodule.coe_iSup_of_directed
@[simp]
theorem mem_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) {x} :
x ∈ iSup S ↔ ∃ i, x ∈ S i := by
rw [← SetLike.mem_coe, coe_iSup_of_directed S H, mem_iUnion]
rfl
#align submodule.mem_supr_of_directed Submodule.mem_iSup_of_directed
theorem mem_sSup_of_directed {s : Set (Submodule R M)} {z} (hs : s.Nonempty)
(hdir : DirectedOn (· ≤ ·) s) : z ∈ sSup s ↔ ∃ y ∈ s, z ∈ y := by
have : Nonempty s := hs.to_subtype
simp only [sSup_eq_iSup', mem_iSup_of_directed _ hdir.directed_val, SetCoe.exists, Subtype.coe_mk,
exists_prop]
#align submodule.mem_Sup_of_directed Submodule.mem_sSup_of_directed
@[norm_cast, simp]
theorem coe_iSup_of_chain (a : ℕ →o Submodule R M) : (↑(⨆ k, a k) : Set M) = ⋃ k, (a k : Set M) :=
coe_iSup_of_directed a a.monotone.directed_le
#align submodule.coe_supr_of_chain Submodule.coe_iSup_of_chain
/-- We can regard `coe_iSup_of_chain` as the statement that `(↑) : (Submodule R M) → Set M` is
Scott continuous for the ω-complete partial order induced by the complete lattice structures. -/
theorem coe_scott_continuous :
OmegaCompletePartialOrder.Continuous' ((↑) : Submodule R M → Set M) :=
⟨SetLike.coe_mono, coe_iSup_of_chain⟩
#align submodule.coe_scott_continuous Submodule.coe_scott_continuous
@[simp]
theorem mem_iSup_of_chain (a : ℕ →o Submodule R M) (m : M) : (m ∈ ⨆ k, a k) ↔ ∃ k, m ∈ a k :=
mem_iSup_of_directed a a.monotone.directed_le
#align submodule.mem_supr_of_chain Submodule.mem_iSup_of_chain
section
variable {p p'}
theorem mem_sup : x ∈ p ⊔ p' ↔ ∃ y ∈ p, ∃ z ∈ p', y + z = x :=
⟨fun h => by
rw [← span_eq p, ← span_eq p', ← span_union] at h
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (h | h)
· exact ⟨y, h, 0, by simp, by simp⟩
· exact ⟨0, by simp, y, h, by simp⟩
· exact ⟨0, by simp, 0, by simp⟩
· rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩
exact ⟨_, add_mem hy₁ hy₂, _, add_mem hz₁ hz₂, by
rw [add_assoc, add_assoc, ← add_assoc y₂, ← add_assoc z₁, add_comm y₂]⟩
· rintro a _ ⟨y, hy, z, hz, rfl⟩
exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩, by
rintro ⟨y, hy, z, hz, rfl⟩
exact add_mem ((le_sup_left : p ≤ p ⊔ p') hy) ((le_sup_right : p' ≤ p ⊔ p') hz)⟩
#align submodule.mem_sup Submodule.mem_sup
theorem mem_sup' : x ∈ p ⊔ p' ↔ ∃ (y : p) (z : p'), (y : M) + z = x :=
mem_sup.trans <| by simp only [Subtype.exists, exists_prop]
#align submodule.mem_sup' Submodule.mem_sup'
lemma exists_add_eq_of_codisjoint (h : Codisjoint p p') (x : M) :
∃ y ∈ p, ∃ z ∈ p', y + z = x := by
suffices x ∈ p ⊔ p' by exact Submodule.mem_sup.mp this
simpa only [h.eq_top] using Submodule.mem_top
variable (p p')
theorem coe_sup : ↑(p ⊔ p') = (p + p' : Set M) := by
ext
rw [SetLike.mem_coe, mem_sup, Set.mem_add]
simp
#align submodule.coe_sup Submodule.coe_sup
theorem sup_toAddSubmonoid : (p ⊔ p').toAddSubmonoid = p.toAddSubmonoid ⊔ p'.toAddSubmonoid := by
ext x
rw [mem_toAddSubmonoid, mem_sup, AddSubmonoid.mem_sup]
rfl
#align submodule.sup_to_add_submonoid Submodule.sup_toAddSubmonoid
theorem sup_toAddSubgroup {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
(p p' : Submodule R M) : (p ⊔ p').toAddSubgroup = p.toAddSubgroup ⊔ p'.toAddSubgroup := by
ext x
rw [mem_toAddSubgroup, mem_sup, AddSubgroup.mem_sup]
rfl
#align submodule.sup_to_add_subgroup Submodule.sup_toAddSubgroup
end
theorem mem_span_singleton_self (x : M) : x ∈ R ∙ x :=
subset_span rfl
#align submodule.mem_span_singleton_self Submodule.mem_span_singleton_self
theorem nontrivial_span_singleton {x : M} (h : x ≠ 0) : Nontrivial (R ∙ x) :=
⟨by
use 0, ⟨x, Submodule.mem_span_singleton_self x⟩
intro H
rw [eq_comm, Submodule.mk_eq_zero] at H
exact h H⟩
#align submodule.nontrivial_span_singleton Submodule.nontrivial_span_singleton
theorem mem_span_singleton {y : M} : (x ∈ R ∙ y) ↔ ∃ a : R, a • y = x :=
⟨fun h => by
refine span_induction h ?_ ?_ ?_ ?_
· rintro y (rfl | ⟨⟨_⟩⟩)
exact ⟨1, by simp⟩
· exact ⟨0, by simp⟩
· rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩
exact ⟨a + b, by simp [add_smul]⟩
· rintro a _ ⟨b, rfl⟩
exact ⟨a * b, by simp [smul_smul]⟩, by
rintro ⟨a, y, rfl⟩; exact smul_mem _ _ (subset_span <| by simp)⟩
#align submodule.mem_span_singleton Submodule.mem_span_singleton
theorem le_span_singleton_iff {s : Submodule R M} {v₀ : M} :
(s ≤ R ∙ v₀) ↔ ∀ v ∈ s, ∃ r : R, r • v₀ = v := by simp_rw [SetLike.le_def, mem_span_singleton]
#align submodule.le_span_singleton_iff Submodule.le_span_singleton_iff
variable (R)
theorem span_singleton_eq_top_iff (x : M) : (R ∙ x) = ⊤ ↔ ∀ v, ∃ r : R, r • x = v := by
rw [eq_top_iff, le_span_singleton_iff]
tauto
#align submodule.span_singleton_eq_top_iff Submodule.span_singleton_eq_top_iff
@[simp]
theorem span_zero_singleton : (R ∙ (0 : M)) = ⊥ := by
ext
simp [mem_span_singleton, eq_comm]
#align submodule.span_zero_singleton Submodule.span_zero_singleton
theorem span_singleton_eq_range (y : M) : ↑(R ∙ y) = range ((· • y) : R → M) :=
Set.ext fun _ => mem_span_singleton
#align submodule.span_singleton_eq_range Submodule.span_singleton_eq_range
theorem span_singleton_smul_le {S} [Monoid S] [SMul S R] [MulAction S M] [IsScalarTower S R M]
(r : S) (x : M) : (R ∙ r • x) ≤ R ∙ x := by
rw [span_le, Set.singleton_subset_iff, SetLike.mem_coe]
exact smul_of_tower_mem _ _ (mem_span_singleton_self _)
#align submodule.span_singleton_smul_le Submodule.span_singleton_smul_le
theorem span_singleton_group_smul_eq {G} [Group G] [SMul G R] [MulAction G M] [IsScalarTower G R M]
(g : G) (x : M) : (R ∙ g • x) = R ∙ x := by
refine le_antisymm (span_singleton_smul_le R g x) ?_
convert span_singleton_smul_le R g⁻¹ (g • x)
exact (inv_smul_smul g x).symm
#align submodule.span_singleton_group_smul_eq Submodule.span_singleton_group_smul_eq
variable {R}
theorem span_singleton_smul_eq {r : R} (hr : IsUnit r) (x : M) : (R ∙ r • x) = R ∙ x := by
lift r to Rˣ using hr
rw [← Units.smul_def]
exact span_singleton_group_smul_eq R r x
#align submodule.span_singleton_smul_eq Submodule.span_singleton_smul_eq
theorem disjoint_span_singleton {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E]
{s : Submodule K E} {x : E} : Disjoint s (K ∙ x) ↔ x ∈ s → x = 0 := by
refine disjoint_def.trans ⟨fun H hx => H x hx <| subset_span <| mem_singleton x, ?_⟩
intro H y hy hyx
obtain ⟨c, rfl⟩ := mem_span_singleton.1 hyx
by_cases hc : c = 0
· rw [hc, zero_smul]
· rw [s.smul_mem_iff hc] at hy
rw [H hy, smul_zero]
#align submodule.disjoint_span_singleton Submodule.disjoint_span_singleton
theorem disjoint_span_singleton' {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E]
{p : Submodule K E} {x : E} (x0 : x ≠ 0) : Disjoint p (K ∙ x) ↔ x ∉ p :=
disjoint_span_singleton.trans ⟨fun h₁ h₂ => x0 (h₁ h₂), fun h₁ h₂ => (h₁ h₂).elim⟩
#align submodule.disjoint_span_singleton' Submodule.disjoint_span_singleton'
theorem mem_span_singleton_trans {x y z : M} (hxy : x ∈ R ∙ y) (hyz : y ∈ R ∙ z) : x ∈ R ∙ z := by
rw [← SetLike.mem_coe, ← singleton_subset_iff] at *
exact Submodule.subset_span_trans hxy hyz
#align submodule.mem_span_singleton_trans Submodule.mem_span_singleton_trans
theorem span_insert (x) (s : Set M) : span R (insert x s) = (R ∙ x) ⊔ span R s := by
rw [insert_eq, span_union]
#align submodule.span_insert Submodule.span_insert
theorem span_insert_eq_span (h : x ∈ span R s) : span R (insert x s) = span R s :=
span_eq_of_le _ (Set.insert_subset_iff.mpr ⟨h, subset_span⟩) (span_mono <| subset_insert _ _)
#align submodule.span_insert_eq_span Submodule.span_insert_eq_span
theorem span_span : span R (span R s : Set M) = span R s :=
span_eq _
#align submodule.span_span Submodule.span_span
theorem mem_span_insert {y} :
x ∈ span R (insert y s) ↔ ∃ a : R, ∃ z ∈ span R s, x = a • y + z := by
simp [span_insert, mem_sup, mem_span_singleton, eq_comm (a := x)]
#align submodule.mem_span_insert Submodule.mem_span_insert
theorem mem_span_pair {x y z : M} :
z ∈ span R ({x, y} : Set M) ↔ ∃ a b : R, a • x + b • y = z := by
simp_rw [mem_span_insert, mem_span_singleton, exists_exists_eq_and, eq_comm]
#align submodule.mem_span_pair Submodule.mem_span_pair
variable (R S s)
/-- If `R` is "smaller" ring than `S` then the span by `R` is smaller than the span by `S`. -/
theorem span_le_restrictScalars [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
span R s ≤ (span S s).restrictScalars R :=
Submodule.span_le.2 Submodule.subset_span
#align submodule.span_le_restrict_scalars Submodule.span_le_restrictScalars
/-- A version of `Submodule.span_le_restrictScalars` with coercions. -/
@[simp]
theorem span_subset_span [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
↑(span R s) ⊆ (span S s : Set M) :=
span_le_restrictScalars R S s
#align submodule.span_subset_span Submodule.span_subset_span
/-- Taking the span by a large ring of the span by the small ring is the same as taking the span
by just the large ring. -/
theorem span_span_of_tower [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] :
span S (span R s : Set M) = span S s :=
le_antisymm (span_le.2 <| span_subset_span R S s) (span_mono subset_span)
#align submodule.span_span_of_tower Submodule.span_span_of_tower
variable {R S s}
theorem span_eq_bot : span R (s : Set M) = ⊥ ↔ ∀ x ∈ s, (x : M) = 0 :=
eq_bot_iff.trans
⟨fun H _ h => (mem_bot R).1 <| H <| subset_span h, fun H =>
span_le.2 fun x h => (mem_bot R).2 <| H x h⟩
#align submodule.span_eq_bot Submodule.span_eq_bot
@[simp]
theorem span_singleton_eq_bot : (R ∙ x) = ⊥ ↔ x = 0 :=
span_eq_bot.trans <| by simp
#align submodule.span_singleton_eq_bot Submodule.span_singleton_eq_bot
@[simp]
theorem span_zero : span R (0 : Set M) = ⊥ := by rw [← singleton_zero, span_singleton_eq_bot]
#align submodule.span_zero Submodule.span_zero
@[simp]
theorem span_singleton_le_iff_mem (m : M) (p : Submodule R M) : (R ∙ m) ≤ p ↔ m ∈ p := by
rw [span_le, singleton_subset_iff, SetLike.mem_coe]
#align submodule.span_singleton_le_iff_mem Submodule.span_singleton_le_iff_mem
theorem span_singleton_eq_span_singleton {R M : Type*} [Ring R] [AddCommGroup M] [Module R M]
[NoZeroSMulDivisors R M] {x y : M} : ((R ∙ x) = R ∙ y) ↔ ∃ z : Rˣ, z • x = y := by
constructor
· simp only [le_antisymm_iff, span_singleton_le_iff_mem, mem_span_singleton]
rintro ⟨⟨a, rfl⟩, b, hb⟩
rcases eq_or_ne y 0 with rfl | hy; · simp
refine ⟨⟨b, a, ?_, ?_⟩, hb⟩
· apply smul_left_injective R hy
simpa only [mul_smul, one_smul]
· rw [← hb] at hy
apply smul_left_injective R (smul_ne_zero_iff.1 hy).2
simp only [mul_smul, one_smul, hb]
· rintro ⟨u, rfl⟩
exact (span_singleton_group_smul_eq _ _ _).symm
#align submodule.span_singleton_eq_span_singleton Submodule.span_singleton_eq_span_singleton
-- Should be `@[simp]` but doesn't fire due to `lean4#3701`.
theorem span_image [RingHomSurjective σ₁₂] (f : F) :
span R₂ (f '' s) = map f (span R s) :=
(map_span f s).symm
#align submodule.span_image Submodule.span_image
@[simp] -- Should be replaced with `Submodule.span_image` when `lean4#3701` is fixed.
theorem span_image' [RingHomSurjective σ₁₂] (f : M →ₛₗ[σ₁₂] M₂) :
span R₂ (f '' s) = map f (span R s) :=
span_image _
theorem apply_mem_span_image_of_mem_span [RingHomSurjective σ₁₂] (f : F) {x : M}
{s : Set M} (h : x ∈ Submodule.span R s) : f x ∈ Submodule.span R₂ (f '' s) := by
rw [Submodule.span_image]
exact Submodule.mem_map_of_mem h
#align submodule.apply_mem_span_image_of_mem_span Submodule.apply_mem_span_image_of_mem_span
theorem apply_mem_span_image_iff_mem_span [RingHomSurjective σ₁₂] {f : F} {x : M}
{s : Set M} (hf : Function.Injective f) :
f x ∈ Submodule.span R₂ (f '' s) ↔ x ∈ Submodule.span R s := by
rw [← Submodule.mem_comap, ← Submodule.map_span, Submodule.comap_map_eq_of_injective hf]
@[simp]
theorem map_subtype_span_singleton {p : Submodule R M} (x : p) :
map p.subtype (R ∙ x) = R ∙ (x : M) := by simp [← span_image]
#align submodule.map_subtype_span_singleton Submodule.map_subtype_span_singleton
/-- `f` is an explicit argument so we can `apply` this theorem and obtain `h` as a new goal. -/
theorem not_mem_span_of_apply_not_mem_span_image [RingHomSurjective σ₁₂] (f : F) {x : M}
{s : Set M} (h : f x ∉ Submodule.span R₂ (f '' s)) : x ∉ Submodule.span R s :=
h.imp (apply_mem_span_image_of_mem_span f)
#align submodule.not_mem_span_of_apply_not_mem_span_image Submodule.not_mem_span_of_apply_not_mem_span_image
theorem iSup_span {ι : Sort*} (p : ι → Set M) : ⨆ i, span R (p i) = span R (⋃ i, p i) :=
le_antisymm (iSup_le fun i => span_mono <| subset_iUnion _ i) <|
span_le.mpr <| iUnion_subset fun i _ hm => mem_iSup_of_mem i <| subset_span hm
#align submodule.supr_span Submodule.iSup_span
theorem iSup_eq_span {ι : Sort*} (p : ι → Submodule R M) : ⨆ i, p i = span R (⋃ i, ↑(p i)) := by
simp_rw [← iSup_span, span_eq]
#align submodule.supr_eq_span Submodule.iSup_eq_span
theorem iSup_toAddSubmonoid {ι : Sort*} (p : ι → Submodule R M) :
(⨆ i, p i).toAddSubmonoid = ⨆ i, (p i).toAddSubmonoid := by
refine le_antisymm (fun x => ?_) (iSup_le fun i => toAddSubmonoid_mono <| le_iSup _ i)
simp_rw [iSup_eq_span, AddSubmonoid.iSup_eq_closure, mem_toAddSubmonoid, coe_toAddSubmonoid]
intro hx
refine Submodule.span_induction hx (fun x hx => ?_) ?_ (fun x y hx hy => ?_) fun r x hx => ?_
· exact AddSubmonoid.subset_closure hx
· exact AddSubmonoid.zero_mem _
· exact AddSubmonoid.add_mem _ hx hy
· refine AddSubmonoid.closure_induction hx ?_ ?_ ?_
· rintro x ⟨_, ⟨i, rfl⟩, hix : x ∈ p i⟩
apply AddSubmonoid.subset_closure (Set.mem_iUnion.mpr ⟨i, _⟩)
exact smul_mem _ r hix
· rw [smul_zero]
exact AddSubmonoid.zero_mem _
· intro x y hx hy
rw [smul_add]
exact AddSubmonoid.add_mem _ hx hy
#align submodule.supr_to_add_submonoid Submodule.iSup_toAddSubmonoid
/-- An induction principle for elements of `⨆ i, p i`.
If `C` holds for `0` and all elements of `p i` for all `i`, and is preserved under addition,
then it holds for all elements of the supremum of `p`. -/
@[elab_as_elim]
theorem iSup_induction {ι : Sort*} (p : ι → Submodule R M) {C : M → Prop} {x : M}
(hx : x ∈ ⨆ i, p i) (hp : ∀ (i), ∀ x ∈ p i, C x) (h0 : C 0)
(hadd : ∀ x y, C x → C y → C (x + y)) : C x := by
rw [← mem_toAddSubmonoid, iSup_toAddSubmonoid] at hx
exact AddSubmonoid.iSup_induction (x := x) _ hx hp h0 hadd
#align submodule.supr_induction Submodule.iSup_induction
/-- A dependent version of `submodule.iSup_induction`. -/
@[elab_as_elim]
theorem iSup_induction' {ι : Sort*} (p : ι → Submodule R M) {C : ∀ x, (x ∈ ⨆ i, p i) → Prop}
(mem : ∀ (i) (x) (hx : x ∈ p i), C x (mem_iSup_of_mem i hx)) (zero : C 0 (zero_mem _))
(add : ∀ x y hx hy, C x hx → C y hy → C (x + y) (add_mem ‹_› ‹_›)) {x : M}
(hx : x ∈ ⨆ i, p i) : C x hx := by
refine Exists.elim ?_ fun (hx : x ∈ ⨆ i, p i) (hc : C x hx) => hc
refine iSup_induction p (C := fun x : M ↦ ∃ (hx : x ∈ ⨆ i, p i), C x hx) hx
(fun i x hx => ?_) ?_ fun x y => ?_
· exact ⟨_, mem _ _ hx⟩
· exact ⟨_, zero⟩
· rintro ⟨_, Cx⟩ ⟨_, Cy⟩
exact ⟨_, add _ _ _ _ Cx Cy⟩
#align submodule.supr_induction' Submodule.iSup_induction'
theorem singleton_span_isCompactElement (x : M) :
CompleteLattice.IsCompactElement (span R {x} : Submodule R M) := by
rw [CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le]
intro d hemp hdir hsup
have : x ∈ (sSup d) := (SetLike.le_def.mp hsup) (mem_span_singleton_self x)
obtain ⟨y, ⟨hyd, hxy⟩⟩ := (mem_sSup_of_directed hemp hdir).mp this
exact ⟨y, ⟨hyd, by simpa only [span_le, singleton_subset_iff] ⟩⟩
#align submodule.singleton_span_is_compact_element Submodule.singleton_span_isCompactElement
/-- The span of a finite subset is compact in the lattice of submodules. -/
theorem finset_span_isCompactElement (S : Finset M) :
CompleteLattice.IsCompactElement (span R S : Submodule R M) := by
rw [span_eq_iSup_of_singleton_spans]
simp only [Finset.mem_coe]
rw [← Finset.sup_eq_iSup]
exact
CompleteLattice.isCompactElement_finsetSup S fun x _ => singleton_span_isCompactElement x
#align submodule.finset_span_is_compact_element Submodule.finset_span_isCompactElement
/-- The span of a finite subset is compact in the lattice of submodules. -/
theorem finite_span_isCompactElement (S : Set M) (h : S.Finite) :
CompleteLattice.IsCompactElement (span R S : Submodule R M) :=
Finite.coe_toFinset h ▸ finset_span_isCompactElement h.toFinset
#align submodule.finite_span_is_compact_element Submodule.finite_span_isCompactElement
instance : IsCompactlyGenerated (Submodule R M) :=
⟨fun s =>
⟨(fun x => span R {x}) '' s,
⟨fun t ht => by
rcases (Set.mem_image _ _ _).1 ht with ⟨x, _, rfl⟩
apply singleton_span_isCompactElement, by
rw [sSup_eq_iSup, iSup_image, ← span_eq_iSup_of_singleton_spans, span_eq]⟩⟩⟩
/-- A submodule is equal to the supremum of the spans of the submodule's nonzero elements. -/
theorem submodule_eq_sSup_le_nonzero_spans (p : Submodule R M) :
p = sSup { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} } := by
let S := { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} }
apply le_antisymm
· intro m hm
by_cases h : m = 0
· rw [h]
simp
· exact @le_sSup _ _ S _ ⟨m, ⟨hm, ⟨h, rfl⟩⟩⟩ m (mem_span_singleton_self m)
· rw [sSup_le_iff]
rintro S ⟨_, ⟨_, ⟨_, rfl⟩⟩⟩
rwa [span_singleton_le_iff_mem]
#align submodule.submodule_eq_Sup_le_nonzero_spans Submodule.submodule_eq_sSup_le_nonzero_spans
theorem lt_sup_iff_not_mem {I : Submodule R M} {a : M} : (I < I ⊔ R ∙ a) ↔ a ∉ I := by simp
#align submodule.lt_sup_iff_not_mem Submodule.lt_sup_iff_not_mem
theorem mem_iSup {ι : Sort*} (p : ι → Submodule R M) {m : M} :
(m ∈ ⨆ i, p i) ↔ ∀ N, (∀ i, p i ≤ N) → m ∈ N := by
rw [← span_singleton_le_iff_mem, le_iSup_iff]
simp only [span_singleton_le_iff_mem]
#align submodule.mem_supr Submodule.mem_iSup
theorem mem_sSup {s : Set (Submodule R M)} {m : M} :
(m ∈ sSup s) ↔ ∀ N, (∀ p ∈ s, p ≤ N) → m ∈ N := by
simp_rw [sSup_eq_iSup, Submodule.mem_iSup, iSup_le_iff]
section
/-- For every element in the span of a set, there exists a finite subset of the set
such that the element is contained in the span of the subset. -/
theorem mem_span_finite_of_mem_span {S : Set M} {x : M} (hx : x ∈ span R S) :
∃ T : Finset M, ↑T ⊆ S ∧ x ∈ span R (T : Set M) := by
classical
refine span_induction hx (fun x hx => ?_) ?_ ?_ ?_
· refine ⟨{x}, ?_, ?_⟩
· rwa [Finset.coe_singleton, Set.singleton_subset_iff]
· rw [Finset.coe_singleton]
exact Submodule.mem_span_singleton_self x
· use ∅
simp
· rintro x y ⟨X, hX, hxX⟩ ⟨Y, hY, hyY⟩
refine ⟨X ∪ Y, ?_, ?_⟩
· rw [Finset.coe_union]
exact Set.union_subset hX hY
rw [Finset.coe_union, span_union, mem_sup]
exact ⟨x, hxX, y, hyY, rfl⟩
· rintro a x ⟨T, hT, h2⟩
exact ⟨T, hT, smul_mem _ _ h2⟩
#align submodule.mem_span_finite_of_mem_span Submodule.mem_span_finite_of_mem_span
end
variable {M' : Type*} [AddCommMonoid M'] [Module R M'] (q₁ q₁' : Submodule R M')
/-- The product of two submodules is a submodule. -/
def prod : Submodule R (M × M') :=
{ p.toAddSubmonoid.prod q₁.toAddSubmonoid with
carrier := p ×ˢ q₁
smul_mem' := by rintro a ⟨x, y⟩ ⟨hx, hy⟩; exact ⟨smul_mem _ a hx, smul_mem _ a hy⟩ }
#align submodule.prod Submodule.prod
@[simp]
theorem prod_coe : (prod p q₁ : Set (M × M')) = (p : Set M) ×ˢ (q₁ : Set M') :=
rfl
#align submodule.prod_coe Submodule.prod_coe
@[simp]
theorem mem_prod {p : Submodule R M} {q : Submodule R M'} {x : M × M'} :
x ∈ prod p q ↔ x.1 ∈ p ∧ x.2 ∈ q :=
Set.mem_prod
#align submodule.mem_prod Submodule.mem_prod
theorem span_prod_le (s : Set M) (t : Set M') : span R (s ×ˢ t) ≤ prod (span R s) (span R t) :=
span_le.2 <| Set.prod_mono subset_span subset_span
#align submodule.span_prod_le Submodule.span_prod_le
@[simp]
theorem prod_top : (prod ⊤ ⊤ : Submodule R (M × M')) = ⊤ := by ext; simp
#align submodule.prod_top Submodule.prod_top
@[simp]
theorem prod_bot : (prod ⊥ ⊥ : Submodule R (M × M')) = ⊥ := by ext ⟨x, y⟩; simp [Prod.zero_eq_mk]
#align submodule.prod_bot Submodule.prod_bot
-- Porting note: Added nonrec
nonrec theorem prod_mono {p p' : Submodule R M} {q q' : Submodule R M'} :
p ≤ p' → q ≤ q' → prod p q ≤ prod p' q' :=
prod_mono
#align submodule.prod_mono Submodule.prod_mono
@[simp]
theorem prod_inf_prod : prod p q₁ ⊓ prod p' q₁' = prod (p ⊓ p') (q₁ ⊓ q₁') :=
SetLike.coe_injective Set.prod_inter_prod
#align submodule.prod_inf_prod Submodule.prod_inf_prod
@[simp]
theorem prod_sup_prod : prod p q₁ ⊔ prod p' q₁' = prod (p ⊔ p') (q₁ ⊔ q₁') := by
refine le_antisymm
(sup_le (prod_mono le_sup_left le_sup_left) (prod_mono le_sup_right le_sup_right)) ?_
simp [SetLike.le_def]; intro xx yy hxx hyy
rcases mem_sup.1 hxx with ⟨x, hx, x', hx', rfl⟩
rcases mem_sup.1 hyy with ⟨y, hy, y', hy', rfl⟩
exact mem_sup.2 ⟨(x, y), ⟨hx, hy⟩, (x', y'), ⟨hx', hy'⟩, rfl⟩
#align submodule.prod_sup_prod Submodule.prod_sup_prod
end AddCommMonoid
section AddCommGroup
variable [Ring R] [AddCommGroup M] [Module R M]
@[simp]
theorem span_neg (s : Set M) : span R (-s) = span R s :=
calc
span R (-s) = span R ((-LinearMap.id : M →ₗ[R] M) '' s) := by simp
_ = map (-LinearMap.id) (span R s) := (map_span (-LinearMap.id) _).symm
_ = span R s := by simp
#align submodule.span_neg Submodule.span_neg
theorem mem_span_insert' {x y} {s : Set M} :
x ∈ span R (insert y s) ↔ ∃ a : R, x + a • y ∈ span R s := by
rw [mem_span_insert]; constructor
· rintro ⟨a, z, hz, rfl⟩
exact ⟨-a, by simp [hz, add_assoc]⟩
· rintro ⟨a, h⟩
exact ⟨-a, _, h, by simp [add_comm, add_left_comm]⟩
#align submodule.mem_span_insert' Submodule.mem_span_insert'
instance : IsModularLattice (Submodule R M) :=
⟨fun y z xz a ha => by
rw [mem_inf, mem_sup] at ha
rcases ha with ⟨⟨b, hb, c, hc, rfl⟩, haz⟩
rw [mem_sup]
refine ⟨b, hb, c, mem_inf.2 ⟨hc, ?_⟩, rfl⟩
rw [← add_sub_cancel_right c b, add_comm]
apply z.sub_mem haz (xz hb)⟩
lemma isCompl_comap_subtype_of_isCompl_of_le {p q r : Submodule R M}
(h₁ : IsCompl q r) (h₂ : q ≤ p) :
IsCompl (q.comap p.subtype) (r.comap p.subtype) := by
simpa [p.mapIic.isCompl_iff, Iic.isCompl_iff] using Iic.isCompl_inf_inf_of_isCompl_of_le h₁ h₂
end AddCommGroup
section AddCommGroup
variable [Semiring R] [Semiring R₂]
variable [AddCommGroup M] [Module R M] [AddCommGroup M₂] [Module R₂ M₂]
variable {τ₁₂ : R →+* R₂} [RingHomSurjective τ₁₂]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂]
theorem comap_map_eq (f : F) (p : Submodule R M) : comap f (map f p) = p ⊔ LinearMap.ker f := by
refine le_antisymm ?_ (sup_le (le_comap_map _ _) (comap_mono bot_le))
rintro x ⟨y, hy, e⟩
exact mem_sup.2 ⟨y, hy, x - y, by simpa using sub_eq_zero.2 e.symm, by simp⟩
#align submodule.comap_map_eq Submodule.comap_map_eq
theorem comap_map_eq_self {f : F} {p : Submodule R M} (h : LinearMap.ker f ≤ p) :
comap f (map f p) = p := by rw [Submodule.comap_map_eq, sup_of_le_left h]
#align submodule.comap_map_eq_self Submodule.comap_map_eq_self
lemma _root_.LinearMap.range_domRestrict_eq_range_iff {f : M →ₛₗ[τ₁₂] M₂} {S : Submodule R M} :
LinearMap.range (f.domRestrict S) = LinearMap.range f ↔ S ⊔ (LinearMap.ker f) = ⊤ := by
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· rw [eq_top_iff]
intro x _
have : f x ∈ LinearMap.range f := LinearMap.mem_range_self f x
rw [← h] at this
obtain ⟨y, hy⟩ : ∃ y : S, f.domRestrict S y = f x := this
have : (y : M) + (x - y) ∈ S ⊔ (LinearMap.ker f) := Submodule.add_mem_sup y.2 (by simp [← hy])
simpa using this
· refine le_antisymm (LinearMap.range_domRestrict_le_range f S) ?_
rintro x ⟨y, rfl⟩
obtain ⟨s, hs, t, ht, rfl⟩ : ∃ s, s ∈ S ∧ ∃ t, t ∈ LinearMap.ker f ∧ s + t = y :=
Submodule.mem_sup.1 (by simp [h])
exact ⟨⟨s, hs⟩, by simp [LinearMap.mem_ker.1 ht]⟩
@[simp] lemma _root_.LinearMap.surjective_domRestrict_iff
{f : M →ₛₗ[τ₁₂] M₂} {S : Submodule R M} (hf : Surjective f) :
Surjective (f.domRestrict S) ↔ S ⊔ LinearMap.ker f = ⊤ := by
rw [← LinearMap.range_eq_top] at hf ⊢
rw [← hf]
exact LinearMap.range_domRestrict_eq_range_iff
@[simp]
lemma biSup_comap_subtype_eq_top {ι : Type*} (s : Set ι) (p : ι → Submodule R M) :
⨆ i ∈ s, (p i).comap (⨆ i ∈ s, p i).subtype = ⊤ := by
refine eq_top_iff.mpr fun ⟨x, hx⟩ _ ↦ ?_
suffices x ∈ (⨆ i ∈ s, (p i).comap (⨆ i ∈ s, p i).subtype).map (⨆ i ∈ s, (p i)).subtype by
obtain ⟨y, hy, rfl⟩ := Submodule.mem_map.mp this
exact hy
suffices ∀ i ∈ s, (comap (⨆ i ∈ s, p i).subtype (p i)).map (⨆ i ∈ s, p i).subtype = p i by
simpa only [map_iSup, biSup_congr this]
intro i hi
rw [map_comap_eq, range_subtype, inf_eq_right]
exact le_biSup p hi
lemma biSup_comap_eq_top_of_surjective {ι : Type*} (s : Set ι) (hs : s.Nonempty)
(p : ι → Submodule R₂ M₂) (hp : ⨆ i ∈ s, p i = ⊤)
(f : M →ₛₗ[τ₁₂] M₂) (hf : Surjective f) :
⨆ i ∈ s, (p i).comap f = ⊤ := by
obtain ⟨k, hk⟩ := hs
suffices (⨆ i ∈ s, (p i).comap f) ⊔ LinearMap.ker f = ⊤ by
rw [← this, left_eq_sup]; exact le_trans f.ker_le_comap (le_biSup (fun i ↦ (p i).comap f) hk)
rw [iSup_subtype'] at hp ⊢
rw [← comap_map_eq, map_iSup_comap_of_sujective hf, hp, comap_top]
lemma biSup_comap_eq_top_of_range_eq_biSup
{R R₂ : Type*} [Ring R] [Ring R₂] {τ₁₂ : R →+* R₂} [RingHomSurjective τ₁₂]
[Module R M] [Module R₂ M₂] {ι : Type*} (s : Set ι) (hs : s.Nonempty)
(p : ι → Submodule R₂ M₂) (f : M →ₛₗ[τ₁₂] M₂) (hf : LinearMap.range f = ⨆ i ∈ s, p i) :
⨆ i ∈ s, (p i).comap f = ⊤ := by
suffices ⨆ i ∈ s, (p i).comap (LinearMap.range f).subtype = ⊤ by
rw [← biSup_comap_eq_top_of_surjective s hs _ this _ f.surjective_rangeRestrict]; rfl
exact hf ▸ biSup_comap_subtype_eq_top s p
end AddCommGroup
section DivisionRing
variable [DivisionRing K] [AddCommGroup V] [Module K V]
/-- There is no vector subspace between `p` and `(K ∙ x) ⊔ p`, `WCovBy` version. -/
theorem wcovBy_span_singleton_sup (x : V) (p : Submodule K V) : WCovBy p ((K ∙ x) ⊔ p) := by
refine ⟨le_sup_right, fun q hpq hqp ↦ hqp.not_le ?_⟩
rcases SetLike.exists_of_lt hpq with ⟨y, hyq, hyp⟩
obtain ⟨c, z, hz, rfl⟩ : ∃ c : K, ∃ z ∈ p, c • x + z = y := by
simpa [mem_sup, mem_span_singleton] using hqp.le hyq
rcases eq_or_ne c 0 with rfl | hc
· simp [hz] at hyp
· have : x ∈ q := by
rwa [q.add_mem_iff_left (hpq.le hz), q.smul_mem_iff hc] at hyq
simp [hpq.le, this]
/-- There is no vector subspace between `p` and `(K ∙ x) ⊔ p`, `CovBy` version. -/
theorem covBy_span_singleton_sup {x : V} {p : Submodule K V} (h : x ∉ p) : CovBy p ((K ∙ x) ⊔ p) :=
⟨by simpa, (wcovBy_span_singleton_sup _ _).2⟩
end DivisionRing
end Submodule
namespace LinearMap
open Submodule Function
section AddCommGroup
variable [Semiring R] [Semiring R₂]
variable [AddCommGroup M] [AddCommGroup M₂]
variable [Module R M] [Module R₂ M₂]
variable {τ₁₂ : R →+* R₂} [RingHomSurjective τ₁₂]
variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂]
protected theorem map_le_map_iff (f : F) {p p'} : map f p ≤ map f p' ↔ p ≤ p' ⊔ ker f := by
rw [map_le_iff_le_comap, Submodule.comap_map_eq]
#align linear_map.map_le_map_iff LinearMap.map_le_map_iff
theorem map_le_map_iff' {f : F} (hf : ker f = ⊥) {p p'} : map f p ≤ map f p' ↔ p ≤ p' := by
rw [LinearMap.map_le_map_iff, hf, sup_bot_eq]
#align linear_map.map_le_map_iff' LinearMap.map_le_map_iff'
theorem map_injective {f : F} (hf : ker f = ⊥) : Injective (map f) := fun _ _ h =>
le_antisymm ((map_le_map_iff' hf).1 (le_of_eq h)) ((map_le_map_iff' hf).1 (ge_of_eq h))
#align linear_map.map_injective LinearMap.map_injective
theorem map_eq_top_iff {f : F} (hf : range f = ⊤) {p : Submodule R M} :
p.map f = ⊤ ↔ p ⊔ LinearMap.ker f = ⊤ := by
simp_rw [← top_le_iff, ← hf, range_eq_map, LinearMap.map_le_map_iff]
#align linear_map.map_eq_top_iff LinearMap.map_eq_top_iff
end AddCommGroup
section
variable (R) (M) [Semiring R] [AddCommMonoid M] [Module R M]
/-- Given an element `x` of a module `M` over `R`, the natural map from
`R` to scalar multiples of `x`. See also `LinearMap.ringLmapEquivSelf`. -/
@[simps!]
def toSpanSingleton (x : M) : R →ₗ[R] M :=
LinearMap.id.smulRight x
#align linear_map.to_span_singleton LinearMap.toSpanSingleton
/-- The range of `toSpanSingleton x` is the span of `x`. -/
theorem span_singleton_eq_range (x : M) : (R ∙ x) = range (toSpanSingleton R M x) :=
Submodule.ext fun y => by
refine Iff.trans ?_ LinearMap.mem_range.symm
exact mem_span_singleton
#align linear_map.span_singleton_eq_range LinearMap.span_singleton_eq_range
-- @[simp] -- Porting note (#10618): simp can prove this
theorem toSpanSingleton_one (x : M) : toSpanSingleton R M x 1 = x :=
one_smul _ _
#align linear_map.to_span_singleton_one LinearMap.toSpanSingleton_one
@[simp]
theorem toSpanSingleton_zero : toSpanSingleton R M 0 = 0 := by
ext
simp
#align linear_map.to_span_singleton_zero LinearMap.toSpanSingleton_zero
variable {R M}
theorem toSpanSingleton_isIdempotentElem_iff {e : R} :
IsIdempotentElem (toSpanSingleton R R e) ↔ IsIdempotentElem e := by
simp_rw [IsIdempotentElem, ext_iff, mul_apply, toSpanSingleton_apply, smul_eq_mul, mul_assoc]
exact ⟨fun h ↦ by conv_rhs => rw [← one_mul e, ← h, one_mul], fun h _ ↦ by rw [h]⟩
theorem isIdempotentElem_apply_one_iff {f : Module.End R R} :
IsIdempotentElem (f 1) ↔ IsIdempotentElem f := by
rw [IsIdempotentElem, ← smul_eq_mul, ← map_smul, smul_eq_mul, mul_one, IsIdempotentElem, ext_iff]
simp_rw [mul_apply]
exact ⟨fun h r ↦ by rw [← mul_one r, ← smul_eq_mul, map_smul, map_smul, h], (· 1)⟩
end
section AddCommMonoid
variable [Semiring R] [AddCommMonoid M] [Module R M]
variable [Semiring R₂] [AddCommMonoid M₂] [Module R₂ M₂]
variable {F : Type*} {σ₁₂ : R →+* R₂} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂]
/-- Two linear maps are equal on `Submodule.span s` iff they are equal on `s`. -/
| Mathlib/LinearAlgebra/Span.lean | 1,090 | 1,091 | theorem eqOn_span_iff {s : Set M} {f g : F} : Set.EqOn f g (span R s) ↔ Set.EqOn f g s := by |
rw [← le_eqLocus, span_le]; rfl
|
/-
Copyright (c) 2021 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.Data.SetLike.Basic
import Mathlib.Data.Finset.Preimage
import Mathlib.ModelTheory.Semantics
#align_import model_theory.definability from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# Definable Sets
This file defines what it means for a set over a first-order structure to be definable.
## Main Definitions
* `Set.Definable` is defined so that `A.Definable L s` indicates that the
set `s` of a finite cartesian power of `M` is definable with parameters in `A`.
* `Set.Definable₁` is defined so that `A.Definable₁ L s` indicates that
`(s : Set M)` is definable with parameters in `A`.
* `Set.Definable₂` is defined so that `A.Definable₂ L s` indicates that
`(s : Set (M × M))` is definable with parameters in `A`.
* A `FirstOrder.Language.DefinableSet` is defined so that `L.DefinableSet A α` is the boolean
algebra of subsets of `α → M` defined by formulas with parameters in `A`.
## Main Results
* `L.DefinableSet A α` forms a `BooleanAlgebra`
* `Set.Definable.image_comp` shows that definability is closed under projections in finite
dimensions.
-/
universe u v w u₁
namespace Set
variable {M : Type w} (A : Set M) (L : FirstOrder.Language.{u, v}) [L.Structure M]
open FirstOrder FirstOrder.Language FirstOrder.Language.Structure
variable {α : Type u₁} {β : Type*}
/-- A subset of a finite Cartesian product of a structure is definable over a set `A` when
membership in the set is given by a first-order formula with parameters from `A`. -/
def Definable (s : Set (α → M)) : Prop :=
∃ φ : L[[A]].Formula α, s = setOf φ.Realize
#align set.definable Set.Definable
variable {L} {A} {B : Set M} {s : Set (α → M)}
theorem Definable.map_expansion {L' : FirstOrder.Language} [L'.Structure M] (h : A.Definable L s)
(φ : L →ᴸ L') [φ.IsExpansionOn M] : A.Definable L' s := by
obtain ⟨ψ, rfl⟩ := h
refine ⟨(φ.addConstants A).onFormula ψ, ?_⟩
ext x
simp only [mem_setOf_eq, LHom.realize_onFormula]
#align set.definable.map_expansion Set.Definable.map_expansion
theorem definable_iff_exists_formula_sum :
A.Definable L s ↔ ∃ φ : L.Formula (A ⊕ α), s = {v | φ.Realize (Sum.elim (↑) v)} := by
rw [Definable, Equiv.exists_congr_left (BoundedFormula.constantsVarsEquiv)]
refine exists_congr (fun φ => iff_iff_eq.2 (congr_arg (s = ·) ?_))
ext
simp only [Formula.Realize, BoundedFormula.constantsVarsEquiv, constantsOn, mk₂_Relations,
BoundedFormula.mapTermRelEquiv_symm_apply, mem_setOf_eq]
refine BoundedFormula.realize_mapTermRel_id ?_ (fun _ _ _ => rfl)
intros
simp only [Term.constantsVarsEquivLeft_symm_apply, Term.realize_varsToConstants,
coe_con, Term.realize_relabel]
congr
ext a
rcases a with (_ | _) | _ <;> rfl
theorem empty_definable_iff :
(∅ : Set M).Definable L s ↔ ∃ φ : L.Formula α, s = setOf φ.Realize := by
rw [Definable, Equiv.exists_congr_left (LEquiv.addEmptyConstants L (∅ : Set M)).onFormula]
simp [-constantsOn]
#align set.empty_definable_iff Set.empty_definable_iff
theorem definable_iff_empty_definable_with_params :
A.Definable L s ↔ (∅ : Set M).Definable (L[[A]]) s :=
empty_definable_iff.symm
#align set.definable_iff_empty_definable_with_params Set.definable_iff_empty_definable_with_params
| Mathlib/ModelTheory/Definability.lean | 86 | 88 | theorem Definable.mono (hAs : A.Definable L s) (hAB : A ⊆ B) : B.Definable L s := by |
rw [definable_iff_empty_definable_with_params] at *
exact hAs.map_expansion (L.lhomWithConstantsMap (Set.inclusion hAB))
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.RingTheory.Ideal.Over
import Mathlib.RingTheory.Ideal.Prod
import Mathlib.RingTheory.Ideal.MinimalPrime
import Mathlib.RingTheory.Localization.Away.Basic
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.Topology.Sets.Closeds
import Mathlib.Topology.Sober
#align_import algebraic_geometry.prime_spectrum.basic from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
/-!
# Prime spectrum of a commutative (semi)ring
The prime spectrum of a commutative (semi)ring is the type of all prime ideals.
It is naturally endowed with a topology: the Zariski topology.
(It is also naturally endowed with a sheaf of rings,
which is constructed in `AlgebraicGeometry.StructureSheaf`.)
## Main definitions
* `PrimeSpectrum R`: The prime spectrum of a commutative (semi)ring `R`,
i.e., the set of all prime ideals of `R`.
* `zeroLocus s`: The zero locus of a subset `s` of `R`
is the subset of `PrimeSpectrum R` consisting of all prime ideals that contain `s`.
* `vanishingIdeal t`: The vanishing ideal of a subset `t` of `PrimeSpectrum R`
is the intersection of points in `t` (viewed as prime ideals).
## Conventions
We denote subsets of (semi)rings with `s`, `s'`, etc...
whereas we denote subsets of prime spectra with `t`, `t'`, etc...
## Inspiration/contributors
The contents of this file draw inspiration from <https://github.com/ramonfmir/lean-scheme>
which has contributions from Ramon Fernandez Mir, Kevin Buzzard, Kenny Lau,
and Chris Hughes (on an earlier repository).
-/
noncomputable section
open scoped Classical
universe u v
variable (R : Type u) (S : Type v)
/-- The prime spectrum of a commutative (semi)ring `R` is the type of all prime ideals of `R`.
It is naturally endowed with a topology (the Zariski topology),
and a sheaf of commutative rings (see `AlgebraicGeometry.StructureSheaf`).
It is a fundamental building block in algebraic geometry. -/
@[ext]
structure PrimeSpectrum [CommSemiring R] where
asIdeal : Ideal R
IsPrime : asIdeal.IsPrime
#align prime_spectrum PrimeSpectrum
attribute [instance] PrimeSpectrum.IsPrime
namespace PrimeSpectrum
section CommSemiRing
variable [CommSemiring R] [CommSemiring S]
variable {R S}
instance [Nontrivial R] : Nonempty <| PrimeSpectrum R :=
let ⟨I, hI⟩ := Ideal.exists_maximal R
⟨⟨I, hI.isPrime⟩⟩
/-- The prime spectrum of the zero ring is empty. -/
instance [Subsingleton R] : IsEmpty (PrimeSpectrum R) :=
⟨fun x ↦ x.IsPrime.ne_top <| SetLike.ext' <| Subsingleton.eq_univ_of_nonempty x.asIdeal.nonempty⟩
#noalign prime_spectrum.punit
variable (R S)
/-- The map from the direct sum of prime spectra to the prime spectrum of a direct product. -/
@[simp]
def primeSpectrumProdOfSum : Sum (PrimeSpectrum R) (PrimeSpectrum S) → PrimeSpectrum (R × S)
| Sum.inl ⟨I, _⟩ => ⟨Ideal.prod I ⊤, Ideal.isPrime_ideal_prod_top⟩
| Sum.inr ⟨J, _⟩ => ⟨Ideal.prod ⊤ J, Ideal.isPrime_ideal_prod_top'⟩
#align prime_spectrum.prime_spectrum_prod_of_sum PrimeSpectrum.primeSpectrumProdOfSum
/-- The prime spectrum of `R × S` is in bijection with the disjoint unions of the prime spectrum of
`R` and the prime spectrum of `S`. -/
noncomputable def primeSpectrumProd :
PrimeSpectrum (R × S) ≃ Sum (PrimeSpectrum R) (PrimeSpectrum S) :=
Equiv.symm <|
Equiv.ofBijective (primeSpectrumProdOfSum R S) (by
constructor
· rintro (⟨I, hI⟩ | ⟨J, hJ⟩) (⟨I', hI'⟩ | ⟨J', hJ'⟩) h <;>
simp only [mk.injEq, Ideal.prod.ext_iff, primeSpectrumProdOfSum] at h
· simp only [h]
· exact False.elim (hI.ne_top h.left)
· exact False.elim (hJ.ne_top h.right)
· simp only [h]
· rintro ⟨I, hI⟩
rcases (Ideal.ideal_prod_prime I).mp hI with (⟨p, ⟨hp, rfl⟩⟩ | ⟨p, ⟨hp, rfl⟩⟩)
· exact ⟨Sum.inl ⟨p, hp⟩, rfl⟩
· exact ⟨Sum.inr ⟨p, hp⟩, rfl⟩)
#align prime_spectrum.prime_spectrum_prod PrimeSpectrum.primeSpectrumProd
variable {R S}
@[simp]
theorem primeSpectrumProd_symm_inl_asIdeal (x : PrimeSpectrum R) :
((primeSpectrumProd R S).symm <| Sum.inl x).asIdeal = Ideal.prod x.asIdeal ⊤ := by
cases x
rfl
#align prime_spectrum.prime_spectrum_prod_symm_inl_as_ideal PrimeSpectrum.primeSpectrumProd_symm_inl_asIdeal
@[simp]
theorem primeSpectrumProd_symm_inr_asIdeal (x : PrimeSpectrum S) :
((primeSpectrumProd R S).symm <| Sum.inr x).asIdeal = Ideal.prod ⊤ x.asIdeal := by
cases x
rfl
#align prime_spectrum.prime_spectrum_prod_symm_inr_as_ideal PrimeSpectrum.primeSpectrumProd_symm_inr_asIdeal
/-- The zero locus of a set `s` of elements of a commutative (semi)ring `R` is the set of all
prime ideals of the ring that contain the set `s`.
An element `f` of `R` can be thought of as a dependent function on the prime spectrum of `R`.
At a point `x` (a prime ideal) the function (i.e., element) `f` takes values in the quotient ring
`R` modulo the prime ideal `x`. In this manner, `zeroLocus s` is exactly the subset of
`PrimeSpectrum R` where all "functions" in `s` vanish simultaneously.
-/
def zeroLocus (s : Set R) : Set (PrimeSpectrum R) :=
{ x | s ⊆ x.asIdeal }
#align prime_spectrum.zero_locus PrimeSpectrum.zeroLocus
@[simp]
theorem mem_zeroLocus (x : PrimeSpectrum R) (s : Set R) : x ∈ zeroLocus s ↔ s ⊆ x.asIdeal :=
Iff.rfl
#align prime_spectrum.mem_zero_locus PrimeSpectrum.mem_zeroLocus
@[simp]
theorem zeroLocus_span (s : Set R) : zeroLocus (Ideal.span s : Set R) = zeroLocus s := by
ext x
exact (Submodule.gi R R).gc s x.asIdeal
#align prime_spectrum.zero_locus_span PrimeSpectrum.zeroLocus_span
/-- The vanishing ideal of a set `t` of points of the prime spectrum of a commutative ring `R` is
the intersection of all the prime ideals in the set `t`.
An element `f` of `R` can be thought of as a dependent function on the prime spectrum of `R`.
At a point `x` (a prime ideal) the function (i.e., element) `f` takes values in the quotient ring
`R` modulo the prime ideal `x`. In this manner, `vanishingIdeal t` is exactly the ideal of `R`
consisting of all "functions" that vanish on all of `t`.
-/
def vanishingIdeal (t : Set (PrimeSpectrum R)) : Ideal R :=
⨅ (x : PrimeSpectrum R) (_ : x ∈ t), x.asIdeal
#align prime_spectrum.vanishing_ideal PrimeSpectrum.vanishingIdeal
theorem coe_vanishingIdeal (t : Set (PrimeSpectrum R)) :
(vanishingIdeal t : Set R) = { f : R | ∀ x : PrimeSpectrum R, x ∈ t → f ∈ x.asIdeal } := by
ext f
rw [vanishingIdeal, SetLike.mem_coe, Submodule.mem_iInf]
apply forall_congr'; intro x
rw [Submodule.mem_iInf]
#align prime_spectrum.coe_vanishing_ideal PrimeSpectrum.coe_vanishingIdeal
theorem mem_vanishingIdeal (t : Set (PrimeSpectrum R)) (f : R) :
f ∈ vanishingIdeal t ↔ ∀ x : PrimeSpectrum R, x ∈ t → f ∈ x.asIdeal := by
rw [← SetLike.mem_coe, coe_vanishingIdeal, Set.mem_setOf_eq]
#align prime_spectrum.mem_vanishing_ideal PrimeSpectrum.mem_vanishingIdeal
@[simp]
| Mathlib/AlgebraicGeometry/PrimeSpectrum/Basic.lean | 178 | 179 | theorem vanishingIdeal_singleton (x : PrimeSpectrum R) :
vanishingIdeal ({x} : Set (PrimeSpectrum R)) = x.asIdeal := by | simp [vanishingIdeal]
|
/-
Copyright (c) 2014 Parikshit Khanna. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Parikshit Khanna, Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Mario Carneiro
-/
import Mathlib.Data.List.Basic
/-!
# insertNth
Proves various lemmas about `List.insertNth`.
-/
open Function
open Nat hiding one_pos
assert_not_exists Set.range
namespace List
universe u v w
variable {ι : Type*} {α : Type u} {β : Type v} {γ : Type w} {l₁ l₂ : List α}
section InsertNth
variable {a : α}
@[simp]
theorem insertNth_zero (s : List α) (x : α) : insertNth 0 x s = x :: s :=
rfl
#align list.insert_nth_zero List.insertNth_zero
@[simp]
theorem insertNth_succ_nil (n : ℕ) (a : α) : insertNth (n + 1) a [] = [] :=
rfl
#align list.insert_nth_succ_nil List.insertNth_succ_nil
@[simp]
theorem insertNth_succ_cons (s : List α) (hd x : α) (n : ℕ) :
insertNth (n + 1) x (hd :: s) = hd :: insertNth n x s :=
rfl
#align list.insert_nth_succ_cons List.insertNth_succ_cons
theorem length_insertNth : ∀ n as, n ≤ length as → length (insertNth n a as) = length as + 1
| 0, _, _ => rfl
| _ + 1, [], h => (Nat.not_succ_le_zero _ h).elim
| n + 1, _ :: as, h => congr_arg Nat.succ <| length_insertNth n as (Nat.le_of_succ_le_succ h)
#align list.length_insert_nth List.length_insertNth
theorem eraseIdx_insertNth (n : ℕ) (l : List α) : (l.insertNth n a).eraseIdx n = l := by
rw [eraseIdx_eq_modifyNthTail, insertNth, modifyNthTail_modifyNthTail_same]
exact modifyNthTail_id _ _
#align list.remove_nth_insert_nth List.eraseIdx_insertNth
@[deprecated (since := "2024-05-04")] alias removeNth_insertNth := eraseIdx_insertNth
theorem insertNth_eraseIdx_of_ge :
∀ n m as,
n < length as → n ≤ m → insertNth m a (as.eraseIdx n) = (as.insertNth (m + 1) a).eraseIdx n
| 0, 0, [], has, _ => (lt_irrefl _ has).elim
| 0, 0, _ :: as, _, _ => by simp [eraseIdx, insertNth]
| 0, m + 1, a :: as, _, _ => rfl
| n + 1, m + 1, a :: as, has, hmn =>
congr_arg (cons a) <|
insertNth_eraseIdx_of_ge n m as (Nat.lt_of_succ_lt_succ has) (Nat.le_of_succ_le_succ hmn)
#align list.insert_nth_remove_nth_of_ge List.insertNth_eraseIdx_of_ge
@[deprecated (since := "2024-05-04")] alias insertNth_removeNth_of_ge := insertNth_eraseIdx_of_ge
theorem insertNth_eraseIdx_of_le :
∀ n m as,
n < length as → m ≤ n → insertNth m a (as.eraseIdx n) = (as.insertNth m a).eraseIdx (n + 1)
| _, 0, _ :: _, _, _ => rfl
| n + 1, m + 1, a :: as, has, hmn =>
congr_arg (cons a) <|
insertNth_eraseIdx_of_le n m as (Nat.lt_of_succ_lt_succ has) (Nat.le_of_succ_le_succ hmn)
#align list.insert_nth_remove_nth_of_le List.insertNth_eraseIdx_of_le
@[deprecated (since := "2024-05-04")] alias insertNth_removeNth_of_le := insertNth_eraseIdx_of_le
theorem insertNth_comm (a b : α) :
∀ (i j : ℕ) (l : List α) (_ : i ≤ j) (_ : j ≤ length l),
(l.insertNth i a).insertNth (j + 1) b = (l.insertNth j b).insertNth i a
| 0, j, l => by simp [insertNth]
| i + 1, 0, l => fun h => (Nat.not_lt_zero _ h).elim
| i + 1, j + 1, [] => by simp
| i + 1, j + 1, c :: l => fun h₀ h₁ => by
simp only [insertNth_succ_cons, cons.injEq, true_and]
exact insertNth_comm a b i j l (Nat.le_of_succ_le_succ h₀) (Nat.le_of_succ_le_succ h₁)
#align list.insert_nth_comm List.insertNth_comm
theorem mem_insertNth {a b : α} :
∀ {n : ℕ} {l : List α} (_ : n ≤ l.length), a ∈ l.insertNth n b ↔ a = b ∨ a ∈ l
| 0, as, _ => by simp
| n + 1, [], h => (Nat.not_succ_le_zero _ h).elim
| n + 1, a' :: as, h => by
rw [List.insertNth_succ_cons, mem_cons, mem_insertNth (Nat.le_of_succ_le_succ h),
← or_assoc, @or_comm (a = a'), or_assoc, mem_cons]
#align list.mem_insert_nth List.mem_insertNth
| Mathlib/Data/List/InsertNth.lean | 103 | 112 | theorem insertNth_of_length_lt (l : List α) (x : α) (n : ℕ) (h : l.length < n) :
insertNth n x l = l := by |
induction' l with hd tl IH generalizing n
· cases n
· simp at h
· simp
· cases n
· simp at h
· simp only [Nat.succ_lt_succ_iff, length] at h
simpa using IH _ h
|
/-
Copyright (c) 2022 Riccardo Brasca. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alex Best, Riccardo Brasca, Eric Rodriguez
-/
import Mathlib.Data.PNat.Prime
import Mathlib.Algebra.IsPrimePow
import Mathlib.NumberTheory.Cyclotomic.Basic
import Mathlib.RingTheory.Adjoin.PowerBasis
import Mathlib.RingTheory.Polynomial.Cyclotomic.Eval
import Mathlib.RingTheory.Norm
import Mathlib.RingTheory.Polynomial.Cyclotomic.Expand
#align_import number_theory.cyclotomic.primitive_roots from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32"
/-!
# Primitive roots in cyclotomic fields
If `IsCyclotomicExtension {n} A B`, we define an element `zeta n A B : B` that is a primitive
`n`th-root of unity in `B` and we study its properties. We also prove related theorems under the
more general assumption of just being a primitive root, for reasons described in the implementation
details section.
## Main definitions
* `IsCyclotomicExtension.zeta n A B`: if `IsCyclotomicExtension {n} A B`, than `zeta n A B`
is a primitive `n`-th root of unity in `B`.
* `IsPrimitiveRoot.powerBasis`: if `K` and `L` are fields such that
`IsCyclotomicExtension {n} K L`, then `IsPrimitiveRoot.powerBasis`
gives a `K`-power basis for `L` given a primitive root `ζ`.
* `IsPrimitiveRoot.embeddingsEquivPrimitiveRoots`: the equivalence between `L →ₐ[K] A`
and `primitiveroots n A` given by the choice of `ζ`.
## Main results
* `IsCyclotomicExtension.zeta_spec`: `zeta n A B` is a primitive `n`-th root of unity.
* `IsCyclotomicExtension.finrank`: if `Irreducible (cyclotomic n K)` (in particular for
`K = ℚ`), then the `finrank` of a cyclotomic extension is `n.totient`.
* `IsPrimitiveRoot.norm_eq_one`: if `Irreducible (cyclotomic n K)` (in particular for `K = ℚ`),
the norm of a primitive root is `1` if `n ≠ 2`.
* `IsPrimitiveRoot.sub_one_norm_eq_eval_cyclotomic`: if `Irreducible (cyclotomic n K)`
(in particular for `K = ℚ`), then the norm of `ζ - 1` is `eval 1 (cyclotomic n ℤ)`, for a
primitive root `ζ`. We also prove the analogous of this result for `zeta`.
* `IsPrimitiveRoot.norm_pow_sub_one_of_prime_pow_ne_two` : if
`Irreducible (cyclotomic (p ^ (k + 1)) K)` (in particular for `K = ℚ`) and `p` is a prime,
then the norm of `ζ ^ (p ^ s) - 1` is `p ^ (p ^ s)` `p ^ (k - s + 1) ≠ 2`. See the following
lemmas for similar results. We also prove the analogous of this result for `zeta`.
* `IsPrimitiveRoot.norm_sub_one_of_prime_ne_two` : if `Irreducible (cyclotomic (p ^ (k + 1)) K)`
(in particular for `K = ℚ`) and `p` is an odd prime, then the norm of `ζ - 1` is `p`. We also
prove the analogous of this result for `zeta`.
* `IsPrimitiveRoot.embeddingsEquivPrimitiveRoots`: the equivalence between `L →ₐ[K] A`
and `primitiveRoots n A` given by the choice of `ζ`.
## Implementation details
`zeta n A B` is defined as any primitive root of unity in `B`, - this must exist, by definition of
`IsCyclotomicExtension`. It is not true in general that it is a root of `cyclotomic n B`,
but this holds if `isDomain B` and `NeZero (↑n : B)`.
`zeta n A B` is defined using `Exists.choose`, which means we cannot control it.
For example, in normal mathematics, we can demand that `(zeta p ℤ ℤ[ζₚ] : ℚ(ζₚ))` is equal to
`zeta p ℚ ℚ(ζₚ)`, as we are just choosing "an arbitrary primitive root" and we can internally
specify that our choices agree. This is not the case here, and it is indeed impossible to prove that
these two are equal. Therefore, whenever possible, we prove our results for any primitive root,
and only at the "final step", when we need to provide an "explicit" primitive root, we use `zeta`.
-/
open Polynomial Algebra Finset FiniteDimensional IsCyclotomicExtension Nat PNat Set
open scoped IntermediateField
universe u v w z
variable {p n : ℕ+} (A : Type w) (B : Type z) (K : Type u) {L : Type v} (C : Type w)
variable [CommRing A] [CommRing B] [Algebra A B] [IsCyclotomicExtension {n} A B]
section Zeta
namespace IsCyclotomicExtension
variable (n)
/-- If `B` is an `n`-th cyclotomic extension of `A`, then `zeta n A B` is a primitive root of
unity in `B`. -/
noncomputable def zeta : B :=
(exists_prim_root A <| Set.mem_singleton n : ∃ r : B, IsPrimitiveRoot r n).choose
#align is_cyclotomic_extension.zeta IsCyclotomicExtension.zeta
/-- `zeta n A B` is a primitive `n`-th root of unity. -/
@[simp]
theorem zeta_spec : IsPrimitiveRoot (zeta n A B) n :=
Classical.choose_spec (exists_prim_root A (Set.mem_singleton n) : ∃ r : B, IsPrimitiveRoot r n)
#align is_cyclotomic_extension.zeta_spec IsCyclotomicExtension.zeta_spec
theorem aeval_zeta [IsDomain B] [NeZero ((n : ℕ) : B)] :
aeval (zeta n A B) (cyclotomic n A) = 0 := by
rw [aeval_def, ← eval_map, ← IsRoot.def, map_cyclotomic, isRoot_cyclotomic_iff]
exact zeta_spec n A B
#align is_cyclotomic_extension.aeval_zeta IsCyclotomicExtension.aeval_zeta
theorem zeta_isRoot [IsDomain B] [NeZero ((n : ℕ) : B)] : IsRoot (cyclotomic n B) (zeta n A B) := by
convert aeval_zeta n A B using 0
rw [IsRoot.def, aeval_def, eval₂_eq_eval_map, map_cyclotomic]
#align is_cyclotomic_extension.zeta_is_root IsCyclotomicExtension.zeta_isRoot
theorem zeta_pow : zeta n A B ^ (n : ℕ) = 1 :=
(zeta_spec n A B).pow_eq_one
#align is_cyclotomic_extension.zeta_pow IsCyclotomicExtension.zeta_pow
end IsCyclotomicExtension
end Zeta
section NoOrder
variable [Field K] [CommRing L] [IsDomain L] [Algebra K L] [IsCyclotomicExtension {n} K L] {ζ : L}
(hζ : IsPrimitiveRoot ζ n)
namespace IsPrimitiveRoot
variable {C}
/-- The `PowerBasis` given by a primitive root `η`. -/
@[simps!]
protected noncomputable def powerBasis : PowerBasis K L :=
PowerBasis.map (Algebra.adjoin.powerBasis <| (integral {n} K L).isIntegral ζ) <|
(Subalgebra.equivOfEq _ _ (IsCyclotomicExtension.adjoin_primitive_root_eq_top hζ)).trans
Subalgebra.topEquiv
#align is_primitive_root.power_basis IsPrimitiveRoot.powerBasis
theorem powerBasis_gen_mem_adjoin_zeta_sub_one :
(hζ.powerBasis K).gen ∈ adjoin K ({ζ - 1} : Set L) := by
rw [powerBasis_gen, adjoin_singleton_eq_range_aeval, AlgHom.mem_range]
exact ⟨X + 1, by simp⟩
#align is_primitive_root.power_basis_gen_mem_adjoin_zeta_sub_one IsPrimitiveRoot.powerBasis_gen_mem_adjoin_zeta_sub_one
/-- The `PowerBasis` given by `η - 1`. -/
@[simps!]
noncomputable def subOnePowerBasis : PowerBasis K L :=
(hζ.powerBasis K).ofGenMemAdjoin
(((integral {n} K L).isIntegral ζ).sub isIntegral_one)
(hζ.powerBasis_gen_mem_adjoin_zeta_sub_one _)
#align is_primitive_root.sub_one_power_basis IsPrimitiveRoot.subOnePowerBasis
variable {K} (C)
-- We are not using @[simps] to avoid a timeout.
/-- The equivalence between `L →ₐ[K] C` and `primitiveRoots n C` given by a primitive root `ζ`. -/
noncomputable def embeddingsEquivPrimitiveRoots (C : Type*) [CommRing C] [IsDomain C] [Algebra K C]
(hirr : Irreducible (cyclotomic n K)) : (L →ₐ[K] C) ≃ primitiveRoots n C :=
(hζ.powerBasis K).liftEquiv.trans
{ toFun := fun x => by
haveI := IsCyclotomicExtension.neZero' n K L
haveI hn := NeZero.of_noZeroSMulDivisors K C n
refine ⟨x.1, ?_⟩
cases x
rwa [mem_primitiveRoots n.pos, ← isRoot_cyclotomic_iff, IsRoot.def,
← map_cyclotomic _ (algebraMap K C), hζ.minpoly_eq_cyclotomic_of_irreducible hirr,
← eval₂_eq_eval_map, ← aeval_def]
invFun := fun x => by
haveI := IsCyclotomicExtension.neZero' n K L
haveI hn := NeZero.of_noZeroSMulDivisors K C n
refine ⟨x.1, ?_⟩
cases x
rwa [aeval_def, eval₂_eq_eval_map, hζ.powerBasis_gen K, ←
hζ.minpoly_eq_cyclotomic_of_irreducible hirr, map_cyclotomic, ← IsRoot.def,
isRoot_cyclotomic_iff, ← mem_primitiveRoots n.pos]
left_inv := fun x => Subtype.ext rfl
right_inv := fun x => Subtype.ext rfl }
#align is_primitive_root.embeddings_equiv_primitive_roots IsPrimitiveRoot.embeddingsEquivPrimitiveRoots
-- Porting note: renamed argument `φ`: "expected '_' or identifier"
@[simp]
theorem embeddingsEquivPrimitiveRoots_apply_coe (C : Type*) [CommRing C] [IsDomain C] [Algebra K C]
(hirr : Irreducible (cyclotomic n K)) (φ' : L →ₐ[K] C) :
(hζ.embeddingsEquivPrimitiveRoots C hirr φ' : C) = φ' ζ :=
rfl
#align is_primitive_root.embeddings_equiv_primitive_roots_apply_coe IsPrimitiveRoot.embeddingsEquivPrimitiveRoots_apply_coe
end IsPrimitiveRoot
namespace IsCyclotomicExtension
variable {K} (L)
/-- If `Irreducible (cyclotomic n K)` (in particular for `K = ℚ`), then the `finrank` of a
cyclotomic extension is `n.totient`. -/
theorem finrank (hirr : Irreducible (cyclotomic n K)) : finrank K L = (n : ℕ).totient := by
haveI := IsCyclotomicExtension.neZero' n K L
rw [((zeta_spec n K L).powerBasis K).finrank, IsPrimitiveRoot.powerBasis_dim, ←
(zeta_spec n K L).minpoly_eq_cyclotomic_of_irreducible hirr, natDegree_cyclotomic]
#align is_cyclotomic_extension.finrank IsCyclotomicExtension.finrank
variable {L} in
/-- If `L` contains both a primitive `p`-th root of unity and `q`-th root of unity, and
`Irreducible (cyclotomic (lcm p q) K)` (in particular for `K = ℚ`), then the `finrank K L` is at
least `(lcm p q).totient`. -/
theorem _root_.IsPrimitiveRoot.lcm_totient_le_finrank [FiniteDimensional K L] {p q : ℕ} {x y : L}
(hx : IsPrimitiveRoot x p) (hy : IsPrimitiveRoot y q)
(hirr : Irreducible (cyclotomic (Nat.lcm p q) K)) :
(Nat.lcm p q).totient ≤ FiniteDimensional.finrank K L := by
rcases Nat.eq_zero_or_pos p with (rfl | hppos)
· simp
rcases Nat.eq_zero_or_pos q with (rfl | hqpos)
· simp
let z := x ^ (p / factorizationLCMLeft p q) * y ^ (q / factorizationLCMRight p q)
let k := PNat.lcm ⟨p, hppos⟩ ⟨q, hqpos⟩
have : IsPrimitiveRoot z k := hx.pow_mul_pow_lcm hy hppos.ne' hqpos.ne'
haveI := IsPrimitiveRoot.adjoin_isCyclotomicExtension K this
convert Submodule.finrank_le (Subalgebra.toSubmodule (adjoin K {z}))
rw [show Nat.lcm p q = (k : ℕ) from rfl] at hirr
simpa using (IsCyclotomicExtension.finrank (Algebra.adjoin K {z}) hirr).symm
end IsCyclotomicExtension
end NoOrder
section Norm
namespace IsPrimitiveRoot
section Field
variable {K} [Field K] [NumberField K]
variable (n) in
/-- If a `n`-th cyclotomic extension of `ℚ` contains a primitive `l`-th root of unity, then
`l ∣ 2 * n`. -/
theorem dvd_of_isCyclotomicExtension [NumberField K] [IsCyclotomicExtension {n} ℚ K] {ζ : K}
{l : ℕ} (hζ : IsPrimitiveRoot ζ l) (hl : l ≠ 0) : l ∣ 2 * n := by
have hl : NeZero l := ⟨hl⟩
have hroot := IsCyclotomicExtension.zeta_spec n ℚ K
have key := IsPrimitiveRoot.lcm_totient_le_finrank hζ hroot
(cyclotomic.irreducible_rat <| Nat.lcm_pos (Nat.pos_of_ne_zero hl.1) n.2)
rw [IsCyclotomicExtension.finrank K (cyclotomic.irreducible_rat n.2)] at key
rcases _root_.dvd_lcm_right l n with ⟨r, hr⟩
have ineq := Nat.totient_super_multiplicative n r
rw [← hr] at ineq
replace key := (mul_le_iff_le_one_right (Nat.totient_pos.2 n.2)).mp (le_trans ineq key)
have rpos : 0 < r := by
refine Nat.pos_of_ne_zero (fun h ↦ ?_)
simp only [h, mul_zero, _root_.lcm_eq_zero_iff, PNat.ne_zero, or_false] at hr
exact hl.1 hr
replace key := (Nat.dvd_prime Nat.prime_two).1 (Nat.dvd_two_of_totient_le_one rpos key)
rcases key with (key | key)
· rw [key, mul_one] at hr
rw [← hr]
exact dvd_mul_of_dvd_right (_root_.dvd_lcm_left l ↑n) 2
· rw [key, mul_comm] at hr
simpa [← hr] using _root_.dvd_lcm_left _ _
/-- If `x` is a root of unity (spelled as `IsOfFinOrder x`) in an `n`-th cyclotomic extension of
`ℚ`, where `n` is odd, and `ζ` is a primitive `n`-th root of unity, then there exist `r`
such that `x = (-ζ)^r`. -/
theorem exists_neg_pow_of_isOfFinOrder [NumberField K] [IsCyclotomicExtension {n} ℚ K]
(hno : Odd (n : ℕ)) {ζ x : K} (hζ : IsPrimitiveRoot ζ n) (hx : IsOfFinOrder x) :
∃ r : ℕ, x = (-ζ) ^ r := by
have hnegζ : IsPrimitiveRoot (-ζ) (2 * n) := by
convert IsPrimitiveRoot.orderOf (-ζ)
rw [neg_eq_neg_one_mul, (Commute.all _ _).orderOf_mul_eq_mul_orderOf_of_coprime]
· simp [hζ.eq_orderOf]
· simp [← hζ.eq_orderOf, Nat.odd_iff_not_even.1 hno]
obtain ⟨k, hkpos, hkn⟩ := isOfFinOrder_iff_pow_eq_one.1 hx
obtain ⟨l, hl, hlroot⟩ := (isRoot_of_unity_iff hkpos _).1 hkn
have hlzero : NeZero l := ⟨fun h ↦ by simp [h] at hl⟩
have : NeZero (l : K) := ⟨NeZero.natCast_ne l K⟩
rw [isRoot_cyclotomic_iff] at hlroot
obtain ⟨a, ha⟩ := hlroot.dvd_of_isCyclotomicExtension n hlzero.1
replace hlroot : x ^ (2 * (n : ℕ)) = 1 := by rw [ha, pow_mul, hlroot.pow_eq_one, one_pow]
obtain ⟨s, -, hs⟩ := hnegζ.eq_pow_of_pow_eq_one hlroot (by simp)
exact ⟨s, hs.symm⟩
/-- If `x` is a root of unity (spelled as `IsOfFinOrder x`) in an `n`-th cyclotomic extension of
`ℚ`, where `n` is odd, and `ζ` is a primitive `n`-th root of unity, then there exists `r < n`
such that `x = ζ^r` or `x = -ζ^r`. -/
theorem exists_pow_or_neg_mul_pow_of_isOfFinOrder [NumberField K] [IsCyclotomicExtension {n} ℚ K]
(hno : Odd (n : ℕ)) {ζ x : K} (hζ : IsPrimitiveRoot ζ n) (hx : IsOfFinOrder x) :
∃ r : ℕ, r < n ∧ (x = ζ ^ r ∨ x = -ζ ^ r) := by
obtain ⟨r, hr⟩ := hζ.exists_neg_pow_of_isOfFinOrder hno hx
refine ⟨r % n, Nat.mod_lt _ n.2, ?_⟩
rw [show ζ ^ (r % ↑n) = ζ ^ r from (IsPrimitiveRoot.eq_orderOf hζ).symm ▸ pow_mod_orderOf .., hr]
rcases Nat.even_or_odd r with (h | h) <;> simp [neg_pow, h.neg_one_pow]
end Field
section CommRing
variable [CommRing L] {ζ : L} (hζ : IsPrimitiveRoot ζ n)
variable {K} [Field K] [Algebra K L]
/-- This mathematically trivial result is complementary to `norm_eq_one` below. -/
theorem norm_eq_neg_one_pow (hζ : IsPrimitiveRoot ζ 2) [IsDomain L] :
norm K ζ = (-1 : K) ^ finrank K L := by
rw [hζ.eq_neg_one_of_two_right, show -1 = algebraMap K L (-1) by simp, Algebra.norm_algebraMap]
#align is_primitive_root.norm_eq_neg_one_pow IsPrimitiveRoot.norm_eq_neg_one_pow
/-- If `Irreducible (cyclotomic n K)` (in particular for `K = ℚ`), the norm of a primitive root is
`1` if `n ≠ 2`. -/
theorem norm_eq_one [IsDomain L] [IsCyclotomicExtension {n} K L] (hn : n ≠ 2)
(hirr : Irreducible (cyclotomic n K)) : norm K ζ = 1 := by
haveI := IsCyclotomicExtension.neZero' n K L
by_cases h1 : n = 1
· rw [h1, one_coe, one_right_iff] at hζ
rw [hζ, show 1 = algebraMap K L 1 by simp, Algebra.norm_algebraMap, one_pow]
· replace h1 : 2 ≤ n := by
by_contra! h
exact h1 (PNat.eq_one_of_lt_two h)
-- Porting note: specyfing the type of `cyclotomic_coeff_zero K h1` was not needed.
rw [← hζ.powerBasis_gen K, PowerBasis.norm_gen_eq_coeff_zero_minpoly, hζ.powerBasis_gen K, ←
hζ.minpoly_eq_cyclotomic_of_irreducible hirr,
(cyclotomic_coeff_zero K h1 : coeff (cyclotomic n K) 0 = 1), mul_one,
hζ.powerBasis_dim K, ← hζ.minpoly_eq_cyclotomic_of_irreducible hirr, natDegree_cyclotomic]
exact (totient_even <| h1.lt_of_ne hn.symm).neg_one_pow
#align is_primitive_root.norm_eq_one IsPrimitiveRoot.norm_eq_one
/-- If `K` is linearly ordered, the norm of a primitive root is `1` if `n` is odd. -/
theorem norm_eq_one_of_linearly_ordered {K : Type*} [LinearOrderedField K] [Algebra K L]
(hodd : Odd (n : ℕ)) : norm K ζ = 1 := by
have hz := congr_arg (norm K) ((IsPrimitiveRoot.iff_def _ n).1 hζ).1
rw [← (algebraMap K L).map_one, Algebra.norm_algebraMap, one_pow, map_pow, ← one_pow ↑n] at hz
exact StrictMono.injective hodd.strictMono_pow hz
#align is_primitive_root.norm_eq_one_of_linearly_ordered IsPrimitiveRoot.norm_eq_one_of_linearly_ordered
theorem norm_of_cyclotomic_irreducible [IsDomain L] [IsCyclotomicExtension {n} K L]
(hirr : Irreducible (cyclotomic n K)) : norm K ζ = ite (n = 2) (-1) 1 := by
split_ifs with hn
· subst hn
convert norm_eq_neg_one_pow (K := K) hζ
erw [IsCyclotomicExtension.finrank _ hirr, totient_two, pow_one]
· exact hζ.norm_eq_one hn hirr
#align is_primitive_root.norm_of_cyclotomic_irreducible IsPrimitiveRoot.norm_of_cyclotomic_irreducible
end CommRing
section Field
variable [Field L] {ζ : L} (hζ : IsPrimitiveRoot ζ n)
variable {K} [Field K] [Algebra K L]
/-- If `Irreducible (cyclotomic n K)` (in particular for `K = ℚ`), then the norm of
`ζ - 1` is `eval 1 (cyclotomic n ℤ)`. -/
| Mathlib/NumberTheory/Cyclotomic/PrimitiveRoots.lean | 339 | 362 | theorem sub_one_norm_eq_eval_cyclotomic [IsCyclotomicExtension {n} K L] (h : 2 < (n : ℕ))
(hirr : Irreducible (cyclotomic n K)) : norm K (ζ - 1) = ↑(eval 1 (cyclotomic n ℤ)) := by |
haveI := IsCyclotomicExtension.neZero' n K L
let E := AlgebraicClosure L
obtain ⟨z, hz⟩ := IsAlgClosed.exists_root _ (degree_cyclotomic_pos n E n.pos).ne.symm
apply (algebraMap K E).injective
letI := IsCyclotomicExtension.finiteDimensional {n} K L
letI := IsCyclotomicExtension.isGalois n K L
rw [norm_eq_prod_embeddings]
conv_lhs =>
congr
rfl
ext
rw [← neg_sub, AlgHom.map_neg, AlgHom.map_sub, AlgHom.map_one, neg_eq_neg_one_mul]
rw [prod_mul_distrib, prod_const, card_univ, AlgHom.card, IsCyclotomicExtension.finrank L hirr,
(totient_even h).neg_one_pow, one_mul]
have Hprod : (Finset.univ.prod fun σ : L →ₐ[K] E => 1 - σ ζ) = eval 1 (cyclotomic' n E) := by
rw [cyclotomic', eval_prod, ← @Finset.prod_attach E E, ← univ_eq_attach]
refine Fintype.prod_equiv (hζ.embeddingsEquivPrimitiveRoots E hirr) _ _ fun σ => ?_
simp
haveI : NeZero ((n : ℕ) : E) := NeZero.of_noZeroSMulDivisors K _ (n : ℕ)
rw [Hprod, cyclotomic', ← cyclotomic_eq_prod_X_sub_primitiveRoots (isRoot_cyclotomic_iff.1 hz),
← map_cyclotomic_int, _root_.map_intCast, ← Int.cast_one, eval_intCast_map, eq_intCast,
Int.cast_id]
|
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Lie.Semisimple.Defs
import Mathlib.Order.BooleanGenerators
#align_import algebra.lie.semisimple from "leanprover-community/mathlib"@"356447fe00e75e54777321045cdff7c9ea212e60"
/-!
# Semisimple Lie algebras
The famous Cartan-Dynkin-Killing classification of semisimple Lie algebras renders them one of the
most important classes of Lie algebras. In this file we prove basic results
abot simple and semisimple Lie algebras.
## Main declarations
* `LieAlgebra.IsSemisimple.instHasTrivialRadical`: A semisimple Lie algebra has trivial radical.
* `LieAlgebra.IsSemisimple.instBooleanAlgebra`:
The lattice of ideals in a semisimple Lie algebra is a boolean algebra.
In particular, this implies that the lattice of ideals is atomistic:
every ideal is a direct sum of atoms (simple ideals) in a unique way.
* `LieAlgebra.hasTrivialRadical_iff_no_solvable_ideals`
* `LieAlgebra.hasTrivialRadical_iff_no_abelian_ideals`
* `LieAlgebra.abelian_radical_iff_solvable_is_abelian`
## Tags
lie algebra, radical, simple, semisimple
-/
section Irreducible
variable (R L M : Type*) [CommRing R] [LieRing L] [AddCommGroup M] [Module R M] [LieRingModule L M]
lemma LieModule.nontrivial_of_isIrreducible [LieModule.IsIrreducible R L M] : Nontrivial M where
exists_pair_ne := by
have aux : (⊥ : LieSubmodule R L M) ≠ ⊤ := bot_ne_top
contrapose! aux
ext m
simpa using aux m 0
end Irreducible
namespace LieAlgebra
variable (R L : Type*) [CommRing R] [LieRing L] [LieAlgebra R L]
variable {R L} in
theorem HasTrivialRadical.eq_bot_of_isSolvable [HasTrivialRadical R L]
(I : LieIdeal R L) [hI : IsSolvable R I] : I = ⊥ :=
sSup_eq_bot.mp radical_eq_bot _ hI
@[simp]
theorem HasTrivialRadical.center_eq_bot [HasTrivialRadical R L] : center R L = ⊥ :=
HasTrivialRadical.eq_bot_of_isSolvable _
#align lie_algebra.center_eq_bot_of_semisimple LieAlgebra.HasTrivialRadical.center_eq_bot
variable {R L} in
theorem hasTrivialRadical_of_no_solvable_ideals (h : ∀ I : LieIdeal R L, IsSolvable R I → I = ⊥) :
HasTrivialRadical R L :=
⟨sSup_eq_bot.mpr h⟩
theorem hasTrivialRadical_iff_no_solvable_ideals :
HasTrivialRadical R L ↔ ∀ I : LieIdeal R L, IsSolvable R I → I = ⊥ :=
⟨@HasTrivialRadical.eq_bot_of_isSolvable _ _ _ _ _, hasTrivialRadical_of_no_solvable_ideals⟩
#align lie_algebra.is_semisimple_iff_no_solvable_ideals LieAlgebra.hasTrivialRadical_iff_no_solvable_ideals
theorem hasTrivialRadical_iff_no_abelian_ideals :
HasTrivialRadical R L ↔ ∀ I : LieIdeal R L, IsLieAbelian I → I = ⊥ := by
rw [hasTrivialRadical_iff_no_solvable_ideals]
constructor <;> intro h₁ I h₂
· exact h₁ _ <| LieAlgebra.ofAbelianIsSolvable R I
· rw [← abelian_of_solvable_ideal_eq_bot_iff]
exact h₁ _ <| abelian_derivedAbelianOfIdeal I
#align lie_algebra.is_semisimple_iff_no_abelian_ideals LieAlgebra.hasTrivialRadical_iff_no_abelian_ideals
namespace IsSimple
variable [IsSimple R L]
instance : LieModule.IsIrreducible R L L := by
suffices Nontrivial (LieIdeal R L) from ⟨IsSimple.eq_bot_or_eq_top⟩
rw [LieSubmodule.nontrivial_iff, ← not_subsingleton_iff_nontrivial]
have _i : ¬ IsLieAbelian L := IsSimple.non_abelian R
contrapose! _i
infer_instance
variable {R L} in
lemma eq_top_of_isAtom (I : LieIdeal R L) (hI : IsAtom I) : I = ⊤ :=
(IsSimple.eq_bot_or_eq_top I).resolve_left hI.1
lemma isAtom_top : IsAtom (⊤ : LieIdeal R L) :=
⟨bot_ne_top.symm, fun _ h ↦ h.eq_bot⟩
variable {R L} in
@[simp] lemma isAtom_iff_eq_top (I : LieIdeal R L) : IsAtom I ↔ I = ⊤ :=
⟨eq_top_of_isAtom I, fun h ↦ h ▸ isAtom_top R L⟩
instance : HasTrivialRadical R L := by
rw [hasTrivialRadical_iff_no_abelian_ideals]
intro I hI
apply (IsSimple.eq_bot_or_eq_top I).resolve_right
rintro rfl
rw [lie_abelian_iff_equiv_lie_abelian LieIdeal.topEquiv] at hI
exact IsSimple.non_abelian R (L := L) hI
end IsSimple
namespace IsSemisimple
open CompleteLattice IsCompactlyGenerated
variable {R L}
variable [IsSemisimple R L]
lemma isSimple_of_isAtom (I : LieIdeal R L) (hI : IsAtom I) : IsSimple R I where
non_abelian := IsSemisimple.non_abelian_of_isAtom I hI
eq_bot_or_eq_top := by
-- Suppose that `J` is an ideal of `I`.
intro J
-- We first show that `J` is also an ideal of the ambient Lie algebra `L`.
let J' : LieIdeal R L :=
{ __ := J.toSubmodule.map I.incl.toLinearMap
lie_mem := by
rintro x _ ⟨y, hy, rfl⟩
dsimp
-- We need to show that `⁅x, y⁆ ∈ J` for any `x ∈ L` and `y ∈ J`.
-- Since `L` is semisimple, `x` is contained
-- in the supremum of `I` and the atoms not equal to `I`.
have hx : x ∈ I ⊔ sSup ({I' : LieIdeal R L | IsAtom I'} \ {I}) := by
nth_rewrite 1 [← sSup_singleton (a := I)]
rw [← sSup_union, Set.union_diff_self, Set.union_eq_self_of_subset_left,
IsSemisimple.sSup_atoms_eq_top]
· apply LieSubmodule.mem_top
· simp only [Set.singleton_subset_iff, Set.mem_setOf_eq, hI]
-- Hence we can write `x` as `a + b` with `a ∈ I`
-- and `b` in the supremum of the atoms not equal to `I`.
rw [LieSubmodule.mem_sup] at hx
obtain ⟨a, ha, b, hb, rfl⟩ := hx
-- Therefore it suffices to show that `⁅a, y⁆ ∈ J` and `⁅b, y⁆ ∈ J`.
simp only [add_lie, AddSubsemigroup.mem_carrier, AddSubmonoid.mem_toSubsemigroup,
Submodule.mem_toAddSubmonoid]
apply add_mem
-- Now `⁅a, y⁆ ∈ J` since `a ∈ I`, `y ∈ J`, and `J` is an ideal of `I`.
· simp only [Submodule.mem_map, LieSubmodule.mem_coeSubmodule, Submodule.coeSubtype,
Subtype.exists, exists_and_right, exists_eq_right, ha, lie_mem_left, exists_true_left]
exact lie_mem_right R I J ⟨a, ha⟩ y hy
-- Finally `⁅b, y⁆ = 0`, by the independence of the atoms.
· suffices ⁅b, y.val⁆ = 0 by simp only [this, zero_mem]
rw [← LieSubmodule.mem_bot (R := R) (L := L),
← (IsSemisimple.setIndependent_isAtom hI).eq_bot]
exact ⟨lie_mem_right R L I b y y.2, lie_mem_left _ _ _ _ _ hb⟩ }
-- Now that we know that `J` is an ideal of `L`,
-- we start with the proof that `I` is a simple Lie algebra.
-- Assume that `J ≠ ⊤`.
rw [or_iff_not_imp_right]
intro hJ
suffices J' = ⊥ by
rw [eq_bot_iff] at this ⊢
intro x hx
suffices x ∈ J → x = 0 from this hx
simpa [J'] using @this x.1
-- We need to show that `J = ⊥`.
-- Since `J` is an ideal of `L`, and `I` is an atom,
-- it suffices to show that `J < I`.
apply hI.2
rw [lt_iff_le_and_ne]
constructor
-- We know that `J ≤ I` since `J` is an ideal of `I`.
· rintro _ ⟨x, -, rfl⟩
exact x.2
-- So we need to show `J ≠ I` as ideals of `L`.
-- This follows from our assumption that `J ≠ ⊤` as ideals of `I`.
contrapose! hJ
rw [eq_top_iff]
rintro ⟨x, hx⟩ -
rw [← hJ] at hx
rcases hx with ⟨y, hy, rfl⟩
exact hy
/--
In a semisimple Lie algebra,
Lie ideals that are contained in the supremum of a finite collection of atoms
are themselves the supremum of a finite subcollection of those atoms.
By a compactness argument, this statement can be extended to arbitrary sets of atoms.
See `atomistic`.
The proof is by induction on the finite set of atoms.
-/
private
lemma finitelyAtomistic : ∀ s : Finset (LieIdeal R L), ↑s ⊆ {I : LieIdeal R L | IsAtom I} →
∀ I : LieIdeal R L, I ≤ s.sup id → ∃ t ⊆ s, I = t.sup id := by
intro s hs I hI
let S := {I : LieIdeal R L | IsAtom I}
obtain rfl | hI := hI.eq_or_lt
· exact ⟨s, le_rfl, rfl⟩
-- We assume that `I` is strictly smaller than the supremum of `s`.
-- Hence there must exist an atom `J` that is not contained in `I`.
obtain ⟨J, hJs, hJI⟩ : ∃ J ∈ s, ¬ J ≤ I := by
by_contra! H
exact hI.ne (le_antisymm hI.le (s.sup_le H))
classical
let s' := s.erase J
have hs' : s' ⊂ s := Finset.erase_ssubset hJs
have hs'S : ↑s' ⊆ S := Set.Subset.trans (Finset.coe_subset.mpr hs'.subset) hs
-- If we show that `I` is contained in the supremum `K` of the complement of `J` in `s`,
-- then we are done by recursion.
set K := s'.sup id
suffices I ≤ K by
obtain ⟨t, hts', htI⟩ := finitelyAtomistic s' hs'S I this
exact ⟨t, le_trans hts' hs'.subset, htI⟩
-- Since `I` is contained in the supremum of `J` with the supremum of `s'`,
-- any element `x` of `I` can be written as `y + z` for some `y ∈ J` and `z ∈ K`.
intro x hx
obtain ⟨y, hy, z, hz, rfl⟩ : ∃ y ∈ id J, ∃ z ∈ K, y + z = x := by
rw [← LieSubmodule.mem_sup, ← Finset.sup_insert, Finset.insert_erase hJs]
exact hI.le hx
-- If we show that `y` is contained in the center of `J`,
-- then we find `x = z`, and hence `x` is contained in the supremum of `s'`.
-- Since `x` was arbitrary, we have shown that `I` is contained in the supremum of `s'`.
suffices ⟨y, hy⟩ ∈ LieAlgebra.center R J by
have _inst := isSimple_of_isAtom J (hs hJs)
rw [HasTrivialRadical.center_eq_bot R J, LieSubmodule.mem_bot] at this
apply_fun Subtype.val at this
dsimp at this
rwa [this, zero_add]
-- To show that `y` is in the center of `J`,
-- we show that any `j ∈ J` brackets to `0` with `z` and with `x = y + z`.
-- By a simple computation, that implies `⁅j, y⁆ = 0`, for all `j`, as desired.
intro j
suffices ⁅(j : L), z⁆ = 0 ∧ ⁅(j : L), y + z⁆ = 0 by
rw [lie_add, this.1, add_zero] at this
ext
exact this.2
rw [← LieSubmodule.mem_bot (R := R) (L := L), ← LieSubmodule.mem_bot (R := R) (L := L)]
constructor
-- `j` brackets to `0` with `z`, since `⁅j, z⁆` is contained in `⁅J, K⁆ ≤ J ⊓ K`,
-- and `J ⊓ K = ⊥` by the independence of the atoms.
· apply (setIndependent_isAtom.disjoint_sSup (hs hJs) hs'S (Finset.not_mem_erase _ _)).le_bot
apply LieSubmodule.lie_le_inf
apply LieSubmodule.lie_mem_lie _ _ j.2
simpa only [K, Finset.sup_id_eq_sSup] using hz
-- By similar reasoning, `j` brackets to `0` with `x = y + z ∈ I`, if we show `J ⊓ I = ⊥`.
suffices J ⊓ I = ⊥ by
apply this.le
apply LieSubmodule.lie_le_inf
exact LieSubmodule.lie_mem_lie _ _ j.2 hx
-- Indeed `J ⊓ I = ⊥`, since `J` is an atom that is not contained in `I`.
apply ((hs hJs).le_iff.mp _).resolve_right
· contrapose! hJI
rw [← hJI]
exact inf_le_right
exact inf_le_left
termination_by s => s.card
decreasing_by exact Finset.card_lt_card hs'
variable (R L) in
lemma booleanGenerators : BooleanGenerators {I : LieIdeal R L | IsAtom I} where
isAtom _ hI := hI
finitelyAtomistic _ _ hs _ hIs := finitelyAtomistic _ hs _ hIs
instance (priority := 100) instDistribLattice : DistribLattice (LieIdeal R L) :=
(booleanGenerators R L).distribLattice_of_sSup_eq_top sSup_atoms_eq_top
noncomputable
instance (priority := 100) instBooleanAlgebra : BooleanAlgebra (LieIdeal R L) :=
(booleanGenerators R L).booleanAlgebra_of_sSup_eq_top sSup_atoms_eq_top
/-- A semisimple Lie algebra has trivial radical. -/
instance (priority := 100) instHasTrivialRadical : HasTrivialRadical R L := by
rw [hasTrivialRadical_iff_no_abelian_ideals]
intro I hI
apply (eq_bot_or_exists_atom_le I).resolve_right
rintro ⟨J, hJ, hJ'⟩
apply IsSemisimple.non_abelian_of_isAtom J hJ
constructor
intro x y
ext
simp only [LieIdeal.coe_bracket_of_module, LieSubmodule.coe_bracket, ZeroMemClass.coe_zero]
have : (⁅(⟨x, hJ' x.2⟩ : I), ⟨y, hJ' y.2⟩⁆ : I) = 0 := trivial_lie_zero _ _ _ _
apply_fun Subtype.val at this
exact this
end IsSemisimple
/-- A simple Lie algebra is semisimple. -/
instance (priority := 100) IsSimple.instIsSemisimple [IsSimple R L] :
IsSemisimple R L := by
constructor
· simp
· simpa using CompleteLattice.setIndependent_singleton _
· intro I hI₁ hI₂
apply IsSimple.non_abelian (R := R) (L := L)
rw [IsSimple.isAtom_iff_eq_top] at hI₁
rwa [hI₁, lie_abelian_iff_equiv_lie_abelian LieIdeal.topEquiv] at hI₂
/-- An abelian Lie algebra with trivial radical is trivial. -/
| Mathlib/Algebra/Lie/Semisimple/Basic.lean | 302 | 305 | theorem subsingleton_of_hasTrivialRadical_lie_abelian [HasTrivialRadical R L] [h : IsLieAbelian L] :
Subsingleton L := by |
rw [isLieAbelian_iff_center_eq_top R L, HasTrivialRadical.center_eq_bot] at h
exact (LieSubmodule.subsingleton_iff R L L).mp (subsingleton_of_bot_eq_top h)
|
/-
Copyright (c) 2020 Kevin Kappelmann. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Kappelmann
-/
import Mathlib.Algebra.ContinuedFractions.Computation.Approximations
import Mathlib.Algebra.ContinuedFractions.Computation.CorrectnessTerminating
import Mathlib.Data.Rat.Floor
#align_import algebra.continued_fractions.computation.terminates_iff_rat from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
/-!
# Termination of Continued Fraction Computations (`GeneralizedContinuedFraction.of`)
## Summary
We show that the continued fraction for a value `v`, as defined in
`Mathlib.Algebra.ContinuedFractions.Basic`, terminates if and only if `v` corresponds to a
rational number, that is `↑v = q` for some `q : ℚ`.
## Main Theorems
- `GeneralizedContinuedFraction.coe_of_rat_eq` shows that
`GeneralizedContinuedFraction.of v = GeneralizedContinuedFraction.of q` for `v : α` given that
`↑v = q` and `q : ℚ`.
- `GeneralizedContinuedFraction.terminates_iff_rat` shows that
`GeneralizedContinuedFraction.of v` terminates if and only if `↑v = q` for some `q : ℚ`.
## Tags
rational, continued fraction, termination
-/
namespace GeneralizedContinuedFraction
open GeneralizedContinuedFraction (of)
variable {K : Type*} [LinearOrderedField K] [FloorRing K]
/-
We will have to constantly coerce along our structures in the following proofs using their provided
map functions.
-/
attribute [local simp] Pair.map IntFractPair.mapFr
section RatOfTerminates
/-!
### Terminating Continued Fractions Are Rational
We want to show that the computation of a continued fraction `GeneralizedContinuedFraction.of v`
terminates if and only if `v ∈ ℚ`. In this section, we show the implication from left to right.
We first show that every finite convergent corresponds to a rational number `q` and then use the
finite correctness proof (`of_correctness_of_terminates`) of `GeneralizedContinuedFraction.of` to
show that `v = ↑q`.
-/
variable (v : K) (n : ℕ)
nonrec theorem exists_gcf_pair_rat_eq_of_nth_conts_aux :
∃ conts : Pair ℚ, (of v).continuantsAux n = (conts.map (↑) : Pair K) :=
Nat.strong_induction_on n
(by
clear n
let g := of v
intro n IH
rcases n with (_ | _ | n)
-- n = 0
· suffices ∃ gp : Pair ℚ, Pair.mk (1 : K) 0 = gp.map (↑) by simpa [continuantsAux]
use Pair.mk 1 0
simp
-- n = 1
· suffices ∃ conts : Pair ℚ, Pair.mk g.h 1 = conts.map (↑) by simpa [continuantsAux]
use Pair.mk ⌊v⌋ 1
simp [g]
-- 2 ≤ n
· cases' IH (n + 1) <| lt_add_one (n + 1) with pred_conts pred_conts_eq
-- invoke the IH
cases' s_ppred_nth_eq : g.s.get? n with gp_n
-- option.none
· use pred_conts
have : g.continuantsAux (n + 2) = g.continuantsAux (n + 1) :=
continuantsAux_stable_of_terminated (n + 1).le_succ s_ppred_nth_eq
simp only [this, pred_conts_eq]
-- option.some
· -- invoke the IH a second time
cases' IH n <| lt_of_le_of_lt n.le_succ <| lt_add_one <| n + 1 with ppred_conts
ppred_conts_eq
obtain ⟨a_eq_one, z, b_eq_z⟩ : gp_n.a = 1 ∧ ∃ z : ℤ, gp_n.b = (z : K) :=
of_part_num_eq_one_and_exists_int_part_denom_eq s_ppred_nth_eq
-- finally, unfold the recurrence to obtain the required rational value.
simp only [a_eq_one, b_eq_z,
continuantsAux_recurrence s_ppred_nth_eq ppred_conts_eq pred_conts_eq]
use nextContinuants 1 (z : ℚ) ppred_conts pred_conts
cases ppred_conts; cases pred_conts
simp [nextContinuants, nextNumerator, nextDenominator])
#align generalized_continued_fraction.exists_gcf_pair_rat_eq_of_nth_conts_aux GeneralizedContinuedFraction.exists_gcf_pair_rat_eq_of_nth_conts_aux
theorem exists_gcf_pair_rat_eq_nth_conts :
∃ conts : Pair ℚ, (of v).continuants n = (conts.map (↑) : Pair K) := by
rw [nth_cont_eq_succ_nth_cont_aux]; exact exists_gcf_pair_rat_eq_of_nth_conts_aux v <| n + 1
#align generalized_continued_fraction.exists_gcf_pair_rat_eq_nth_conts GeneralizedContinuedFraction.exists_gcf_pair_rat_eq_nth_conts
theorem exists_rat_eq_nth_numerator : ∃ q : ℚ, (of v).numerators n = (q : K) := by
rcases exists_gcf_pair_rat_eq_nth_conts v n with ⟨⟨a, _⟩, nth_cont_eq⟩
use a
simp [num_eq_conts_a, nth_cont_eq]
#align generalized_continued_fraction.exists_rat_eq_nth_numerator GeneralizedContinuedFraction.exists_rat_eq_nth_numerator
theorem exists_rat_eq_nth_denominator : ∃ q : ℚ, (of v).denominators n = (q : K) := by
rcases exists_gcf_pair_rat_eq_nth_conts v n with ⟨⟨_, b⟩, nth_cont_eq⟩
use b
simp [denom_eq_conts_b, nth_cont_eq]
#align generalized_continued_fraction.exists_rat_eq_nth_denominator GeneralizedContinuedFraction.exists_rat_eq_nth_denominator
/-- Every finite convergent corresponds to a rational number. -/
theorem exists_rat_eq_nth_convergent : ∃ q : ℚ, (of v).convergents n = (q : K) := by
rcases exists_rat_eq_nth_numerator v n with ⟨Aₙ, nth_num_eq⟩
rcases exists_rat_eq_nth_denominator v n with ⟨Bₙ, nth_denom_eq⟩
use Aₙ / Bₙ
simp [nth_num_eq, nth_denom_eq, convergent_eq_num_div_denom]
#align generalized_continued_fraction.exists_rat_eq_nth_convergent GeneralizedContinuedFraction.exists_rat_eq_nth_convergent
variable {v}
/-- Every terminating continued fraction corresponds to a rational number. -/
theorem exists_rat_eq_of_terminates (terminates : (of v).Terminates) : ∃ q : ℚ, v = ↑q := by
obtain ⟨n, v_eq_conv⟩ : ∃ n, v = (of v).convergents n :=
of_correctness_of_terminates terminates
obtain ⟨q, conv_eq_q⟩ : ∃ q : ℚ, (of v).convergents n = (↑q : K) :=
exists_rat_eq_nth_convergent v n
have : v = (↑q : K) := Eq.trans v_eq_conv conv_eq_q
use q, this
#align generalized_continued_fraction.exists_rat_eq_of_terminates GeneralizedContinuedFraction.exists_rat_eq_of_terminates
end RatOfTerminates
section RatTranslation
/-!
### Technical Translation Lemmas
Before we can show that the continued fraction of a rational number terminates, we have to prove
some technical translation lemmas. More precisely, in this section, we show that, given a rational
number `q : ℚ` and value `v : K` with `v = ↑q`, the continued fraction of `q` and `v` coincide.
In particular, we show that
```lean
(↑(GeneralizedContinuedFraction.of q : GeneralizedContinuedFraction ℚ) :
GeneralizedContinuedFraction K)
= GeneralizedContinuedFraction.of v`
```
in `GeneralizedContinuedFraction.coe_of_rat_eq`.
To do this, we proceed bottom-up, showing the correspondence between the basic functions involved in
the Computation first and then lift the results step-by-step.
-/
-- The lifting works for arbitrary linear ordered fields with a floor function.
variable {v : K} {q : ℚ} (v_eq_q : v = (↑q : K)) (n : ℕ)
/-! First, we show the correspondence for the very basic functions in
`GeneralizedContinuedFraction.IntFractPair`. -/
namespace IntFractPair
theorem coe_of_rat_eq : ((IntFractPair.of q).mapFr (↑) : IntFractPair K) = IntFractPair.of v := by
simp [IntFractPair.of, v_eq_q]
#align generalized_continued_fraction.int_fract_pair.coe_of_rat_eq GeneralizedContinuedFraction.IntFractPair.coe_of_rat_eq
theorem coe_stream_nth_rat_eq :
((IntFractPair.stream q n).map (mapFr (↑)) : Option <| IntFractPair K) =
IntFractPair.stream v n := by
induction n with
| zero =>
-- Porting note: was
-- simp [IntFractPair.stream, coe_of_rat_eq v_eq_q]
simp only [IntFractPair.stream, Option.map_some', coe_of_rat_eq v_eq_q]
| succ n IH =>
rw [v_eq_q] at IH
cases stream_q_nth_eq : IntFractPair.stream q n with
| none => simp [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq]
| some ifp_n =>
cases' ifp_n with b fr
cases' Decidable.em (fr = 0) with fr_zero fr_ne_zero
· simp [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq, fr_zero]
· replace IH : some (IntFractPair.mk b (fr : K)) = IntFractPair.stream (↑q) n := by
rwa [stream_q_nth_eq] at IH
have : (fr : K)⁻¹ = ((fr⁻¹ : ℚ) : K) := by norm_cast
have coe_of_fr := coe_of_rat_eq this
simpa [IntFractPair.stream, IH.symm, v_eq_q, stream_q_nth_eq, fr_ne_zero]
#align generalized_continued_fraction.int_fract_pair.coe_stream_nth_rat_eq GeneralizedContinuedFraction.IntFractPair.coe_stream_nth_rat_eq
| Mathlib/Algebra/ContinuedFractions/Computation/TerminatesIffRat.lean | 197 | 200 | theorem coe_stream'_rat_eq :
((IntFractPair.stream q).map (Option.map (mapFr (↑))) : Stream' <| Option <| IntFractPair K) =
IntFractPair.stream v := by |
funext n; exact IntFractPair.coe_stream_nth_rat_eq v_eq_q n
|
/-
Copyright (c) 2018 Ellen Arlt. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ellen Arlt, Blair Shi, Sean Leather, Mario Carneiro, Johan Commelin, Lu-Ming Zhang
-/
import Mathlib.Algebra.Algebra.Opposite
import Mathlib.Algebra.Algebra.Pi
import Mathlib.Algebra.BigOperators.Pi
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Algebra.BigOperators.RingEquiv
import Mathlib.Algebra.Module.LinearMap.Basic
import Mathlib.Algebra.Module.Pi
import Mathlib.Algebra.Star.BigOperators
import Mathlib.Algebra.Star.Module
import Mathlib.Algebra.Star.Pi
import Mathlib.Data.Fintype.BigOperators
import Mathlib.GroupTheory.GroupAction.BigOperators
#align_import data.matrix.basic from "leanprover-community/mathlib"@"eba5bb3155cab51d80af00e8d7d69fa271b1302b"
/-!
# Matrices
This file defines basic properties of matrices.
Matrices with rows indexed by `m`, columns indexed by `n`, and entries of type `α` are represented
with `Matrix m n α`. For the typical approach of counting rows and columns,
`Matrix (Fin m) (Fin n) α` can be used.
## Notation
The locale `Matrix` gives the following notation:
* `⬝ᵥ` for `Matrix.dotProduct`
* `*ᵥ` for `Matrix.mulVec`
* `ᵥ*` for `Matrix.vecMul`
* `ᵀ` for `Matrix.transpose`
* `ᴴ` for `Matrix.conjTranspose`
## Implementation notes
For convenience, `Matrix m n α` is defined as `m → n → α`, as this allows elements of the matrix
to be accessed with `A i j`. However, it is not advisable to _construct_ matrices using terms of the
form `fun i j ↦ _` or even `(fun i j ↦ _ : Matrix m n α)`, as these are not recognized by Lean
as having the right type. Instead, `Matrix.of` should be used.
## TODO
Under various conditions, multiplication of infinite matrices makes sense.
These have not yet been implemented.
-/
universe u u' v w
/-- `Matrix m n R` is the type of matrices with entries in `R`, whose rows are indexed by `m`
and whose columns are indexed by `n`. -/
def Matrix (m : Type u) (n : Type u') (α : Type v) : Type max u u' v :=
m → n → α
#align matrix Matrix
variable {l m n o : Type*} {m' : o → Type*} {n' : o → Type*}
variable {R : Type*} {S : Type*} {α : Type v} {β : Type w} {γ : Type*}
namespace Matrix
section Ext
variable {M N : Matrix m n α}
theorem ext_iff : (∀ i j, M i j = N i j) ↔ M = N :=
⟨fun h => funext fun i => funext <| h i, fun h => by simp [h]⟩
#align matrix.ext_iff Matrix.ext_iff
@[ext]
theorem ext : (∀ i j, M i j = N i j) → M = N :=
ext_iff.mp
#align matrix.ext Matrix.ext
end Ext
/-- Cast a function into a matrix.
The two sides of the equivalence are definitionally equal types. We want to use an explicit cast
to distinguish the types because `Matrix` has different instances to pi types (such as `Pi.mul`,
which performs elementwise multiplication, vs `Matrix.mul`).
If you are defining a matrix, in terms of its entries, use `of (fun i j ↦ _)`. The
purpose of this approach is to ensure that terms of the form `(fun i j ↦ _) * (fun i j ↦ _)` do not
appear, as the type of `*` can be misleading.
Porting note: In Lean 3, it is also safe to use pattern matching in a definition as `| i j := _`,
which can only be unfolded when fully-applied. leanprover/lean4#2042 means this does not
(currently) work in Lean 4.
-/
def of : (m → n → α) ≃ Matrix m n α :=
Equiv.refl _
#align matrix.of Matrix.of
@[simp]
theorem of_apply (f : m → n → α) (i j) : of f i j = f i j :=
rfl
#align matrix.of_apply Matrix.of_apply
@[simp]
theorem of_symm_apply (f : Matrix m n α) (i j) : of.symm f i j = f i j :=
rfl
#align matrix.of_symm_apply Matrix.of_symm_apply
/-- `M.map f` is the matrix obtained by applying `f` to each entry of the matrix `M`.
This is available in bundled forms as:
* `AddMonoidHom.mapMatrix`
* `LinearMap.mapMatrix`
* `RingHom.mapMatrix`
* `AlgHom.mapMatrix`
* `Equiv.mapMatrix`
* `AddEquiv.mapMatrix`
* `LinearEquiv.mapMatrix`
* `RingEquiv.mapMatrix`
* `AlgEquiv.mapMatrix`
-/
def map (M : Matrix m n α) (f : α → β) : Matrix m n β :=
of fun i j => f (M i j)
#align matrix.map Matrix.map
@[simp]
theorem map_apply {M : Matrix m n α} {f : α → β} {i : m} {j : n} : M.map f i j = f (M i j) :=
rfl
#align matrix.map_apply Matrix.map_apply
@[simp]
theorem map_id (M : Matrix m n α) : M.map id = M := by
ext
rfl
#align matrix.map_id Matrix.map_id
@[simp]
theorem map_id' (M : Matrix m n α) : M.map (·) = M := map_id M
@[simp]
theorem map_map {M : Matrix m n α} {β γ : Type*} {f : α → β} {g : β → γ} :
(M.map f).map g = M.map (g ∘ f) := by
ext
rfl
#align matrix.map_map Matrix.map_map
theorem map_injective {f : α → β} (hf : Function.Injective f) :
Function.Injective fun M : Matrix m n α => M.map f := fun _ _ h =>
ext fun i j => hf <| ext_iff.mpr h i j
#align matrix.map_injective Matrix.map_injective
/-- The transpose of a matrix. -/
def transpose (M : Matrix m n α) : Matrix n m α :=
of fun x y => M y x
#align matrix.transpose Matrix.transpose
-- TODO: set as an equation lemma for `transpose`, see mathlib4#3024
@[simp]
theorem transpose_apply (M : Matrix m n α) (i j) : transpose M i j = M j i :=
rfl
#align matrix.transpose_apply Matrix.transpose_apply
@[inherit_doc]
scoped postfix:1024 "ᵀ" => Matrix.transpose
/-- The conjugate transpose of a matrix defined in term of `star`. -/
def conjTranspose [Star α] (M : Matrix m n α) : Matrix n m α :=
M.transpose.map star
#align matrix.conj_transpose Matrix.conjTranspose
@[inherit_doc]
scoped postfix:1024 "ᴴ" => Matrix.conjTranspose
instance inhabited [Inhabited α] : Inhabited (Matrix m n α) :=
inferInstanceAs <| Inhabited <| m → n → α
-- Porting note: new, Lean3 found this automatically
instance decidableEq [DecidableEq α] [Fintype m] [Fintype n] : DecidableEq (Matrix m n α) :=
Fintype.decidablePiFintype
instance {n m} [Fintype m] [DecidableEq m] [Fintype n] [DecidableEq n] (α) [Fintype α] :
Fintype (Matrix m n α) := inferInstanceAs (Fintype (m → n → α))
instance {n m} [Finite m] [Finite n] (α) [Finite α] :
Finite (Matrix m n α) := inferInstanceAs (Finite (m → n → α))
instance add [Add α] : Add (Matrix m n α) :=
Pi.instAdd
instance addSemigroup [AddSemigroup α] : AddSemigroup (Matrix m n α) :=
Pi.addSemigroup
instance addCommSemigroup [AddCommSemigroup α] : AddCommSemigroup (Matrix m n α) :=
Pi.addCommSemigroup
instance zero [Zero α] : Zero (Matrix m n α) :=
Pi.instZero
instance addZeroClass [AddZeroClass α] : AddZeroClass (Matrix m n α) :=
Pi.addZeroClass
instance addMonoid [AddMonoid α] : AddMonoid (Matrix m n α) :=
Pi.addMonoid
instance addCommMonoid [AddCommMonoid α] : AddCommMonoid (Matrix m n α) :=
Pi.addCommMonoid
instance neg [Neg α] : Neg (Matrix m n α) :=
Pi.instNeg
instance sub [Sub α] : Sub (Matrix m n α) :=
Pi.instSub
instance addGroup [AddGroup α] : AddGroup (Matrix m n α) :=
Pi.addGroup
instance addCommGroup [AddCommGroup α] : AddCommGroup (Matrix m n α) :=
Pi.addCommGroup
instance unique [Unique α] : Unique (Matrix m n α) :=
Pi.unique
instance subsingleton [Subsingleton α] : Subsingleton (Matrix m n α) :=
inferInstanceAs <| Subsingleton <| m → n → α
instance nonempty [Nonempty m] [Nonempty n] [Nontrivial α] : Nontrivial (Matrix m n α) :=
Function.nontrivial
instance smul [SMul R α] : SMul R (Matrix m n α) :=
Pi.instSMul
instance smulCommClass [SMul R α] [SMul S α] [SMulCommClass R S α] :
SMulCommClass R S (Matrix m n α) :=
Pi.smulCommClass
instance isScalarTower [SMul R S] [SMul R α] [SMul S α] [IsScalarTower R S α] :
IsScalarTower R S (Matrix m n α) :=
Pi.isScalarTower
instance isCentralScalar [SMul R α] [SMul Rᵐᵒᵖ α] [IsCentralScalar R α] :
IsCentralScalar R (Matrix m n α) :=
Pi.isCentralScalar
instance mulAction [Monoid R] [MulAction R α] : MulAction R (Matrix m n α) :=
Pi.mulAction _
instance distribMulAction [Monoid R] [AddMonoid α] [DistribMulAction R α] :
DistribMulAction R (Matrix m n α) :=
Pi.distribMulAction _
instance module [Semiring R] [AddCommMonoid α] [Module R α] : Module R (Matrix m n α) :=
Pi.module _ _ _
-- Porting note (#10756): added the following section with simp lemmas because `simp` fails
-- to apply the corresponding lemmas in the namespace `Pi`.
-- (e.g. `Pi.zero_apply` used on `OfNat.ofNat 0 i j`)
section
@[simp]
theorem zero_apply [Zero α] (i : m) (j : n) : (0 : Matrix m n α) i j = 0 := rfl
@[simp]
theorem add_apply [Add α] (A B : Matrix m n α) (i : m) (j : n) :
(A + B) i j = (A i j) + (B i j) := rfl
@[simp]
theorem smul_apply [SMul β α] (r : β) (A : Matrix m n α) (i : m) (j : n) :
(r • A) i j = r • (A i j) := rfl
@[simp]
theorem sub_apply [Sub α] (A B : Matrix m n α) (i : m) (j : n) :
(A - B) i j = (A i j) - (B i j) := rfl
@[simp]
theorem neg_apply [Neg α] (A : Matrix m n α) (i : m) (j : n) :
(-A) i j = -(A i j) := rfl
end
/-! simp-normal form pulls `of` to the outside. -/
@[simp]
theorem of_zero [Zero α] : of (0 : m → n → α) = 0 :=
rfl
#align matrix.of_zero Matrix.of_zero
@[simp]
theorem of_add_of [Add α] (f g : m → n → α) : of f + of g = of (f + g) :=
rfl
#align matrix.of_add_of Matrix.of_add_of
@[simp]
theorem of_sub_of [Sub α] (f g : m → n → α) : of f - of g = of (f - g) :=
rfl
#align matrix.of_sub_of Matrix.of_sub_of
@[simp]
theorem neg_of [Neg α] (f : m → n → α) : -of f = of (-f) :=
rfl
#align matrix.neg_of Matrix.neg_of
@[simp]
theorem smul_of [SMul R α] (r : R) (f : m → n → α) : r • of f = of (r • f) :=
rfl
#align matrix.smul_of Matrix.smul_of
@[simp]
protected theorem map_zero [Zero α] [Zero β] (f : α → β) (h : f 0 = 0) :
(0 : Matrix m n α).map f = 0 := by
ext
simp [h]
#align matrix.map_zero Matrix.map_zero
protected theorem map_add [Add α] [Add β] (f : α → β) (hf : ∀ a₁ a₂, f (a₁ + a₂) = f a₁ + f a₂)
(M N : Matrix m n α) : (M + N).map f = M.map f + N.map f :=
ext fun _ _ => hf _ _
#align matrix.map_add Matrix.map_add
protected theorem map_sub [Sub α] [Sub β] (f : α → β) (hf : ∀ a₁ a₂, f (a₁ - a₂) = f a₁ - f a₂)
(M N : Matrix m n α) : (M - N).map f = M.map f - N.map f :=
ext fun _ _ => hf _ _
#align matrix.map_sub Matrix.map_sub
theorem map_smul [SMul R α] [SMul R β] (f : α → β) (r : R) (hf : ∀ a, f (r • a) = r • f a)
(M : Matrix m n α) : (r • M).map f = r • M.map f :=
ext fun _ _ => hf _
#align matrix.map_smul Matrix.map_smul
/-- The scalar action via `Mul.toSMul` is transformed by the same map as the elements
of the matrix, when `f` preserves multiplication. -/
theorem map_smul' [Mul α] [Mul β] (f : α → β) (r : α) (A : Matrix n n α)
(hf : ∀ a₁ a₂, f (a₁ * a₂) = f a₁ * f a₂) : (r • A).map f = f r • A.map f :=
ext fun _ _ => hf _ _
#align matrix.map_smul' Matrix.map_smul'
/-- The scalar action via `mul.toOppositeSMul` is transformed by the same map as the
elements of the matrix, when `f` preserves multiplication. -/
theorem map_op_smul' [Mul α] [Mul β] (f : α → β) (r : α) (A : Matrix n n α)
(hf : ∀ a₁ a₂, f (a₁ * a₂) = f a₁ * f a₂) :
(MulOpposite.op r • A).map f = MulOpposite.op (f r) • A.map f :=
ext fun _ _ => hf _ _
#align matrix.map_op_smul' Matrix.map_op_smul'
theorem _root_.IsSMulRegular.matrix [SMul R S] {k : R} (hk : IsSMulRegular S k) :
IsSMulRegular (Matrix m n S) k :=
IsSMulRegular.pi fun _ => IsSMulRegular.pi fun _ => hk
#align is_smul_regular.matrix IsSMulRegular.matrix
theorem _root_.IsLeftRegular.matrix [Mul α] {k : α} (hk : IsLeftRegular k) :
IsSMulRegular (Matrix m n α) k :=
hk.isSMulRegular.matrix
#align is_left_regular.matrix IsLeftRegular.matrix
instance subsingleton_of_empty_left [IsEmpty m] : Subsingleton (Matrix m n α) :=
⟨fun M N => by
ext i
exact isEmptyElim i⟩
#align matrix.subsingleton_of_empty_left Matrix.subsingleton_of_empty_left
instance subsingleton_of_empty_right [IsEmpty n] : Subsingleton (Matrix m n α) :=
⟨fun M N => by
ext i j
exact isEmptyElim j⟩
#align matrix.subsingleton_of_empty_right Matrix.subsingleton_of_empty_right
end Matrix
open Matrix
namespace Matrix
section Diagonal
variable [DecidableEq n]
/-- `diagonal d` is the square matrix such that `(diagonal d) i i = d i` and `(diagonal d) i j = 0`
if `i ≠ j`.
Note that bundled versions exist as:
* `Matrix.diagonalAddMonoidHom`
* `Matrix.diagonalLinearMap`
* `Matrix.diagonalRingHom`
* `Matrix.diagonalAlgHom`
-/
def diagonal [Zero α] (d : n → α) : Matrix n n α :=
of fun i j => if i = j then d i else 0
#align matrix.diagonal Matrix.diagonal
-- TODO: set as an equation lemma for `diagonal`, see mathlib4#3024
theorem diagonal_apply [Zero α] (d : n → α) (i j) : diagonal d i j = if i = j then d i else 0 :=
rfl
#align matrix.diagonal_apply Matrix.diagonal_apply
@[simp]
theorem diagonal_apply_eq [Zero α] (d : n → α) (i : n) : (diagonal d) i i = d i := by
simp [diagonal]
#align matrix.diagonal_apply_eq Matrix.diagonal_apply_eq
@[simp]
theorem diagonal_apply_ne [Zero α] (d : n → α) {i j : n} (h : i ≠ j) : (diagonal d) i j = 0 := by
simp [diagonal, h]
#align matrix.diagonal_apply_ne Matrix.diagonal_apply_ne
theorem diagonal_apply_ne' [Zero α] (d : n → α) {i j : n} (h : j ≠ i) : (diagonal d) i j = 0 :=
diagonal_apply_ne d h.symm
#align matrix.diagonal_apply_ne' Matrix.diagonal_apply_ne'
@[simp]
theorem diagonal_eq_diagonal_iff [Zero α] {d₁ d₂ : n → α} :
diagonal d₁ = diagonal d₂ ↔ ∀ i, d₁ i = d₂ i :=
⟨fun h i => by simpa using congr_arg (fun m : Matrix n n α => m i i) h, fun h => by
rw [show d₁ = d₂ from funext h]⟩
#align matrix.diagonal_eq_diagonal_iff Matrix.diagonal_eq_diagonal_iff
theorem diagonal_injective [Zero α] : Function.Injective (diagonal : (n → α) → Matrix n n α) :=
fun d₁ d₂ h => funext fun i => by simpa using Matrix.ext_iff.mpr h i i
#align matrix.diagonal_injective Matrix.diagonal_injective
@[simp]
theorem diagonal_zero [Zero α] : (diagonal fun _ => 0 : Matrix n n α) = 0 := by
ext
simp [diagonal]
#align matrix.diagonal_zero Matrix.diagonal_zero
@[simp]
theorem diagonal_transpose [Zero α] (v : n → α) : (diagonal v)ᵀ = diagonal v := by
ext i j
by_cases h : i = j
· simp [h, transpose]
· simp [h, transpose, diagonal_apply_ne' _ h]
#align matrix.diagonal_transpose Matrix.diagonal_transpose
@[simp]
theorem diagonal_add [AddZeroClass α] (d₁ d₂ : n → α) :
diagonal d₁ + diagonal d₂ = diagonal fun i => d₁ i + d₂ i := by
ext i j
by_cases h : i = j <;>
simp [h]
#align matrix.diagonal_add Matrix.diagonal_add
@[simp]
theorem diagonal_smul [Zero α] [SMulZeroClass R α] (r : R) (d : n → α) :
diagonal (r • d) = r • diagonal d := by
ext i j
by_cases h : i = j <;> simp [h]
#align matrix.diagonal_smul Matrix.diagonal_smul
@[simp]
theorem diagonal_neg [NegZeroClass α] (d : n → α) :
-diagonal d = diagonal fun i => -d i := by
ext i j
by_cases h : i = j <;>
simp [h]
#align matrix.diagonal_neg Matrix.diagonal_neg
@[simp]
theorem diagonal_sub [SubNegZeroMonoid α] (d₁ d₂ : n → α) :
diagonal d₁ - diagonal d₂ = diagonal fun i => d₁ i - d₂ i := by
ext i j
by_cases h : i = j <;>
simp [h]
instance [Zero α] [NatCast α] : NatCast (Matrix n n α) where
natCast m := diagonal fun _ => m
@[norm_cast]
theorem diagonal_natCast [Zero α] [NatCast α] (m : ℕ) : diagonal (fun _ : n => (m : α)) = m := rfl
@[norm_cast]
theorem diagonal_natCast' [Zero α] [NatCast α] (m : ℕ) : diagonal ((m : n → α)) = m := rfl
-- See note [no_index around OfNat.ofNat]
theorem diagonal_ofNat [Zero α] [NatCast α] (m : ℕ) [m.AtLeastTwo] :
diagonal (fun _ : n => no_index (OfNat.ofNat m : α)) = OfNat.ofNat m := rfl
-- See note [no_index around OfNat.ofNat]
theorem diagonal_ofNat' [Zero α] [NatCast α] (m : ℕ) [m.AtLeastTwo] :
diagonal (no_index (OfNat.ofNat m : n → α)) = OfNat.ofNat m := rfl
instance [Zero α] [IntCast α] : IntCast (Matrix n n α) where
intCast m := diagonal fun _ => m
@[norm_cast]
theorem diagonal_intCast [Zero α] [IntCast α] (m : ℤ) : diagonal (fun _ : n => (m : α)) = m := rfl
@[norm_cast]
theorem diagonal_intCast' [Zero α] [IntCast α] (m : ℤ) : diagonal ((m : n → α)) = m := rfl
variable (n α)
/-- `Matrix.diagonal` as an `AddMonoidHom`. -/
@[simps]
def diagonalAddMonoidHom [AddZeroClass α] : (n → α) →+ Matrix n n α where
toFun := diagonal
map_zero' := diagonal_zero
map_add' x y := (diagonal_add x y).symm
#align matrix.diagonal_add_monoid_hom Matrix.diagonalAddMonoidHom
variable (R)
/-- `Matrix.diagonal` as a `LinearMap`. -/
@[simps]
def diagonalLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : (n → α) →ₗ[R] Matrix n n α :=
{ diagonalAddMonoidHom n α with map_smul' := diagonal_smul }
#align matrix.diagonal_linear_map Matrix.diagonalLinearMap
variable {n α R}
@[simp]
theorem diagonal_map [Zero α] [Zero β] {f : α → β} (h : f 0 = 0) {d : n → α} :
(diagonal d).map f = diagonal fun m => f (d m) := by
ext
simp only [diagonal_apply, map_apply]
split_ifs <;> simp [h]
#align matrix.diagonal_map Matrix.diagonal_map
@[simp]
theorem diagonal_conjTranspose [AddMonoid α] [StarAddMonoid α] (v : n → α) :
(diagonal v)ᴴ = diagonal (star v) := by
rw [conjTranspose, diagonal_transpose, diagonal_map (star_zero _)]
rfl
#align matrix.diagonal_conj_transpose Matrix.diagonal_conjTranspose
section One
variable [Zero α] [One α]
instance one : One (Matrix n n α) :=
⟨diagonal fun _ => 1⟩
@[simp]
theorem diagonal_one : (diagonal fun _ => 1 : Matrix n n α) = 1 :=
rfl
#align matrix.diagonal_one Matrix.diagonal_one
theorem one_apply {i j} : (1 : Matrix n n α) i j = if i = j then 1 else 0 :=
rfl
#align matrix.one_apply Matrix.one_apply
@[simp]
theorem one_apply_eq (i) : (1 : Matrix n n α) i i = 1 :=
diagonal_apply_eq _ i
#align matrix.one_apply_eq Matrix.one_apply_eq
@[simp]
theorem one_apply_ne {i j} : i ≠ j → (1 : Matrix n n α) i j = 0 :=
diagonal_apply_ne _
#align matrix.one_apply_ne Matrix.one_apply_ne
theorem one_apply_ne' {i j} : j ≠ i → (1 : Matrix n n α) i j = 0 :=
diagonal_apply_ne' _
#align matrix.one_apply_ne' Matrix.one_apply_ne'
@[simp]
theorem map_one [Zero β] [One β] (f : α → β) (h₀ : f 0 = 0) (h₁ : f 1 = 1) :
(1 : Matrix n n α).map f = (1 : Matrix n n β) := by
ext
simp only [one_apply, map_apply]
split_ifs <;> simp [h₀, h₁]
#align matrix.map_one Matrix.map_one
-- Porting note: added implicit argument `(f := fun_ => α)`, why is that needed?
theorem one_eq_pi_single {i j} : (1 : Matrix n n α) i j = Pi.single (f := fun _ => α) i 1 j := by
simp only [one_apply, Pi.single_apply, eq_comm]
#align matrix.one_eq_pi_single Matrix.one_eq_pi_single
lemma zero_le_one_elem [Preorder α] [ZeroLEOneClass α] (i j : n) :
0 ≤ (1 : Matrix n n α) i j := by
by_cases hi : i = j <;> simp [hi]
lemma zero_le_one_row [Preorder α] [ZeroLEOneClass α] (i : n) :
0 ≤ (1 : Matrix n n α) i :=
zero_le_one_elem i
end One
instance instAddMonoidWithOne [AddMonoidWithOne α] : AddMonoidWithOne (Matrix n n α) where
natCast_zero := show diagonal _ = _ by
rw [Nat.cast_zero, diagonal_zero]
natCast_succ n := show diagonal _ = diagonal _ + _ by
rw [Nat.cast_succ, ← diagonal_add, diagonal_one]
instance instAddGroupWithOne [AddGroupWithOne α] : AddGroupWithOne (Matrix n n α) where
intCast_ofNat n := show diagonal _ = diagonal _ by
rw [Int.cast_natCast]
intCast_negSucc n := show diagonal _ = -(diagonal _) by
rw [Int.cast_negSucc, diagonal_neg]
__ := addGroup
__ := instAddMonoidWithOne
instance instAddCommMonoidWithOne [AddCommMonoidWithOne α] :
AddCommMonoidWithOne (Matrix n n α) where
__ := addCommMonoid
__ := instAddMonoidWithOne
instance instAddCommGroupWithOne [AddCommGroupWithOne α] :
AddCommGroupWithOne (Matrix n n α) where
__ := addCommGroup
__ := instAddGroupWithOne
section Numeral
set_option linter.deprecated false
@[deprecated, simp]
theorem bit0_apply [Add α] (M : Matrix m m α) (i : m) (j : m) : (bit0 M) i j = bit0 (M i j) :=
rfl
#align matrix.bit0_apply Matrix.bit0_apply
variable [AddZeroClass α] [One α]
@[deprecated]
theorem bit1_apply (M : Matrix n n α) (i : n) (j : n) :
(bit1 M) i j = if i = j then bit1 (M i j) else bit0 (M i j) := by
dsimp [bit1]
by_cases h : i = j <;>
simp [h]
#align matrix.bit1_apply Matrix.bit1_apply
@[deprecated, simp]
theorem bit1_apply_eq (M : Matrix n n α) (i : n) : (bit1 M) i i = bit1 (M i i) := by
simp [bit1_apply]
#align matrix.bit1_apply_eq Matrix.bit1_apply_eq
@[deprecated, simp]
theorem bit1_apply_ne (M : Matrix n n α) {i j : n} (h : i ≠ j) : (bit1 M) i j = bit0 (M i j) := by
simp [bit1_apply, h]
#align matrix.bit1_apply_ne Matrix.bit1_apply_ne
end Numeral
end Diagonal
section Diag
/-- The diagonal of a square matrix. -/
-- @[simp] -- Porting note: simpNF does not like this.
def diag (A : Matrix n n α) (i : n) : α :=
A i i
#align matrix.diag Matrix.diag
-- Porting note: new, because of removed `simp` above.
-- TODO: set as an equation lemma for `diag`, see mathlib4#3024
@[simp]
theorem diag_apply (A : Matrix n n α) (i) : diag A i = A i i :=
rfl
@[simp]
theorem diag_diagonal [DecidableEq n] [Zero α] (a : n → α) : diag (diagonal a) = a :=
funext <| @diagonal_apply_eq _ _ _ _ a
#align matrix.diag_diagonal Matrix.diag_diagonal
@[simp]
theorem diag_transpose (A : Matrix n n α) : diag Aᵀ = diag A :=
rfl
#align matrix.diag_transpose Matrix.diag_transpose
@[simp]
theorem diag_zero [Zero α] : diag (0 : Matrix n n α) = 0 :=
rfl
#align matrix.diag_zero Matrix.diag_zero
@[simp]
theorem diag_add [Add α] (A B : Matrix n n α) : diag (A + B) = diag A + diag B :=
rfl
#align matrix.diag_add Matrix.diag_add
@[simp]
theorem diag_sub [Sub α] (A B : Matrix n n α) : diag (A - B) = diag A - diag B :=
rfl
#align matrix.diag_sub Matrix.diag_sub
@[simp]
theorem diag_neg [Neg α] (A : Matrix n n α) : diag (-A) = -diag A :=
rfl
#align matrix.diag_neg Matrix.diag_neg
@[simp]
theorem diag_smul [SMul R α] (r : R) (A : Matrix n n α) : diag (r • A) = r • diag A :=
rfl
#align matrix.diag_smul Matrix.diag_smul
@[simp]
theorem diag_one [DecidableEq n] [Zero α] [One α] : diag (1 : Matrix n n α) = 1 :=
diag_diagonal _
#align matrix.diag_one Matrix.diag_one
variable (n α)
/-- `Matrix.diag` as an `AddMonoidHom`. -/
@[simps]
def diagAddMonoidHom [AddZeroClass α] : Matrix n n α →+ n → α where
toFun := diag
map_zero' := diag_zero
map_add' := diag_add
#align matrix.diag_add_monoid_hom Matrix.diagAddMonoidHom
variable (R)
/-- `Matrix.diag` as a `LinearMap`. -/
@[simps]
def diagLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : Matrix n n α →ₗ[R] n → α :=
{ diagAddMonoidHom n α with map_smul' := diag_smul }
#align matrix.diag_linear_map Matrix.diagLinearMap
variable {n α R}
theorem diag_map {f : α → β} {A : Matrix n n α} : diag (A.map f) = f ∘ diag A :=
rfl
#align matrix.diag_map Matrix.diag_map
@[simp]
theorem diag_conjTranspose [AddMonoid α] [StarAddMonoid α] (A : Matrix n n α) :
diag Aᴴ = star (diag A) :=
rfl
#align matrix.diag_conj_transpose Matrix.diag_conjTranspose
@[simp]
theorem diag_list_sum [AddMonoid α] (l : List (Matrix n n α)) : diag l.sum = (l.map diag).sum :=
map_list_sum (diagAddMonoidHom n α) l
#align matrix.diag_list_sum Matrix.diag_list_sum
@[simp]
theorem diag_multiset_sum [AddCommMonoid α] (s : Multiset (Matrix n n α)) :
diag s.sum = (s.map diag).sum :=
map_multiset_sum (diagAddMonoidHom n α) s
#align matrix.diag_multiset_sum Matrix.diag_multiset_sum
@[simp]
theorem diag_sum {ι} [AddCommMonoid α] (s : Finset ι) (f : ι → Matrix n n α) :
diag (∑ i ∈ s, f i) = ∑ i ∈ s, diag (f i) :=
map_sum (diagAddMonoidHom n α) f s
#align matrix.diag_sum Matrix.diag_sum
end Diag
section DotProduct
variable [Fintype m] [Fintype n]
/-- `dotProduct v w` is the sum of the entrywise products `v i * w i` -/
def dotProduct [Mul α] [AddCommMonoid α] (v w : m → α) : α :=
∑ i, v i * w i
#align matrix.dot_product Matrix.dotProduct
/- The precedence of 72 comes immediately after ` • ` for `SMul.smul`,
so that `r₁ • a ⬝ᵥ r₂ • b` is parsed as `(r₁ • a) ⬝ᵥ (r₂ • b)` here. -/
@[inherit_doc]
scoped infixl:72 " ⬝ᵥ " => Matrix.dotProduct
theorem dotProduct_assoc [NonUnitalSemiring α] (u : m → α) (w : n → α) (v : Matrix m n α) :
(fun j => u ⬝ᵥ fun i => v i j) ⬝ᵥ w = u ⬝ᵥ fun i => v i ⬝ᵥ w := by
simpa [dotProduct, Finset.mul_sum, Finset.sum_mul, mul_assoc] using Finset.sum_comm
#align matrix.dot_product_assoc Matrix.dotProduct_assoc
theorem dotProduct_comm [AddCommMonoid α] [CommSemigroup α] (v w : m → α) : v ⬝ᵥ w = w ⬝ᵥ v := by
simp_rw [dotProduct, mul_comm]
#align matrix.dot_product_comm Matrix.dotProduct_comm
@[simp]
theorem dotProduct_pUnit [AddCommMonoid α] [Mul α] (v w : PUnit → α) : v ⬝ᵥ w = v ⟨⟩ * w ⟨⟩ := by
simp [dotProduct]
#align matrix.dot_product_punit Matrix.dotProduct_pUnit
section MulOneClass
variable [MulOneClass α] [AddCommMonoid α]
theorem dotProduct_one (v : n → α) : v ⬝ᵥ 1 = ∑ i, v i := by simp [(· ⬝ᵥ ·)]
#align matrix.dot_product_one Matrix.dotProduct_one
theorem one_dotProduct (v : n → α) : 1 ⬝ᵥ v = ∑ i, v i := by simp [(· ⬝ᵥ ·)]
#align matrix.one_dot_product Matrix.one_dotProduct
end MulOneClass
section NonUnitalNonAssocSemiring
variable [NonUnitalNonAssocSemiring α] (u v w : m → α) (x y : n → α)
@[simp]
theorem dotProduct_zero : v ⬝ᵥ 0 = 0 := by simp [dotProduct]
#align matrix.dot_product_zero Matrix.dotProduct_zero
@[simp]
theorem dotProduct_zero' : (v ⬝ᵥ fun _ => 0) = 0 :=
dotProduct_zero v
#align matrix.dot_product_zero' Matrix.dotProduct_zero'
@[simp]
theorem zero_dotProduct : 0 ⬝ᵥ v = 0 := by simp [dotProduct]
#align matrix.zero_dot_product Matrix.zero_dotProduct
@[simp]
theorem zero_dotProduct' : (fun _ => (0 : α)) ⬝ᵥ v = 0 :=
zero_dotProduct v
#align matrix.zero_dot_product' Matrix.zero_dotProduct'
@[simp]
theorem add_dotProduct : (u + v) ⬝ᵥ w = u ⬝ᵥ w + v ⬝ᵥ w := by
simp [dotProduct, add_mul, Finset.sum_add_distrib]
#align matrix.add_dot_product Matrix.add_dotProduct
@[simp]
theorem dotProduct_add : u ⬝ᵥ (v + w) = u ⬝ᵥ v + u ⬝ᵥ w := by
simp [dotProduct, mul_add, Finset.sum_add_distrib]
#align matrix.dot_product_add Matrix.dotProduct_add
@[simp]
theorem sum_elim_dotProduct_sum_elim : Sum.elim u x ⬝ᵥ Sum.elim v y = u ⬝ᵥ v + x ⬝ᵥ y := by
simp [dotProduct]
#align matrix.sum_elim_dot_product_sum_elim Matrix.sum_elim_dotProduct_sum_elim
/-- Permuting a vector on the left of a dot product can be transferred to the right. -/
@[simp]
theorem comp_equiv_symm_dotProduct (e : m ≃ n) : u ∘ e.symm ⬝ᵥ x = u ⬝ᵥ x ∘ e :=
(e.sum_comp _).symm.trans <|
Finset.sum_congr rfl fun _ _ => by simp only [Function.comp, Equiv.symm_apply_apply]
#align matrix.comp_equiv_symm_dot_product Matrix.comp_equiv_symm_dotProduct
/-- Permuting a vector on the right of a dot product can be transferred to the left. -/
@[simp]
theorem dotProduct_comp_equiv_symm (e : n ≃ m) : u ⬝ᵥ x ∘ e.symm = u ∘ e ⬝ᵥ x := by
simpa only [Equiv.symm_symm] using (comp_equiv_symm_dotProduct u x e.symm).symm
#align matrix.dot_product_comp_equiv_symm Matrix.dotProduct_comp_equiv_symm
/-- Permuting vectors on both sides of a dot product is a no-op. -/
@[simp]
theorem comp_equiv_dotProduct_comp_equiv (e : m ≃ n) : x ∘ e ⬝ᵥ y ∘ e = x ⬝ᵥ y := by
-- Porting note: was `simp only` with all three lemmas
rw [← dotProduct_comp_equiv_symm]; simp only [Function.comp, Equiv.apply_symm_apply]
#align matrix.comp_equiv_dot_product_comp_equiv Matrix.comp_equiv_dotProduct_comp_equiv
end NonUnitalNonAssocSemiring
section NonUnitalNonAssocSemiringDecidable
variable [DecidableEq m] [NonUnitalNonAssocSemiring α] (u v w : m → α)
@[simp]
theorem diagonal_dotProduct (i : m) : diagonal v i ⬝ᵥ w = v i * w i := by
have : ∀ j ≠ i, diagonal v i j * w j = 0 := fun j hij => by
simp [diagonal_apply_ne' _ hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.diagonal_dot_product Matrix.diagonal_dotProduct
@[simp]
theorem dotProduct_diagonal (i : m) : v ⬝ᵥ diagonal w i = v i * w i := by
have : ∀ j ≠ i, v j * diagonal w i j = 0 := fun j hij => by
simp [diagonal_apply_ne' _ hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.dot_product_diagonal Matrix.dotProduct_diagonal
@[simp]
theorem dotProduct_diagonal' (i : m) : (v ⬝ᵥ fun j => diagonal w j i) = v i * w i := by
have : ∀ j ≠ i, v j * diagonal w j i = 0 := fun j hij => by
simp [diagonal_apply_ne _ hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.dot_product_diagonal' Matrix.dotProduct_diagonal'
@[simp]
theorem single_dotProduct (x : α) (i : m) : Pi.single i x ⬝ᵥ v = x * v i := by
-- Porting note: (implicit arg) added `(f := fun _ => α)`
have : ∀ j ≠ i, Pi.single (f := fun _ => α) i x j * v j = 0 := fun j hij => by
simp [Pi.single_eq_of_ne hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.single_dot_product Matrix.single_dotProduct
@[simp]
theorem dotProduct_single (x : α) (i : m) : v ⬝ᵥ Pi.single i x = v i * x := by
-- Porting note: (implicit arg) added `(f := fun _ => α)`
have : ∀ j ≠ i, v j * Pi.single (f := fun _ => α) i x j = 0 := fun j hij => by
simp [Pi.single_eq_of_ne hij]
convert Finset.sum_eq_single i (fun j _ => this j) _ using 1 <;> simp
#align matrix.dot_product_single Matrix.dotProduct_single
end NonUnitalNonAssocSemiringDecidable
section NonAssocSemiring
variable [NonAssocSemiring α]
@[simp]
theorem one_dotProduct_one : (1 : n → α) ⬝ᵥ 1 = Fintype.card n := by
simp [dotProduct]
#align matrix.one_dot_product_one Matrix.one_dotProduct_one
end NonAssocSemiring
section NonUnitalNonAssocRing
variable [NonUnitalNonAssocRing α] (u v w : m → α)
@[simp]
theorem neg_dotProduct : -v ⬝ᵥ w = -(v ⬝ᵥ w) := by simp [dotProduct]
#align matrix.neg_dot_product Matrix.neg_dotProduct
@[simp]
theorem dotProduct_neg : v ⬝ᵥ -w = -(v ⬝ᵥ w) := by simp [dotProduct]
#align matrix.dot_product_neg Matrix.dotProduct_neg
lemma neg_dotProduct_neg : -v ⬝ᵥ -w = v ⬝ᵥ w := by
rw [neg_dotProduct, dotProduct_neg, neg_neg]
@[simp]
theorem sub_dotProduct : (u - v) ⬝ᵥ w = u ⬝ᵥ w - v ⬝ᵥ w := by simp [sub_eq_add_neg]
#align matrix.sub_dot_product Matrix.sub_dotProduct
@[simp]
theorem dotProduct_sub : u ⬝ᵥ (v - w) = u ⬝ᵥ v - u ⬝ᵥ w := by simp [sub_eq_add_neg]
#align matrix.dot_product_sub Matrix.dotProduct_sub
end NonUnitalNonAssocRing
section DistribMulAction
variable [Monoid R] [Mul α] [AddCommMonoid α] [DistribMulAction R α]
@[simp]
theorem smul_dotProduct [IsScalarTower R α α] (x : R) (v w : m → α) :
x • v ⬝ᵥ w = x • (v ⬝ᵥ w) := by simp [dotProduct, Finset.smul_sum, smul_mul_assoc]
#align matrix.smul_dot_product Matrix.smul_dotProduct
@[simp]
theorem dotProduct_smul [SMulCommClass R α α] (x : R) (v w : m → α) :
v ⬝ᵥ x • w = x • (v ⬝ᵥ w) := by simp [dotProduct, Finset.smul_sum, mul_smul_comm]
#align matrix.dot_product_smul Matrix.dotProduct_smul
end DistribMulAction
section StarRing
variable [NonUnitalSemiring α] [StarRing α] (v w : m → α)
theorem star_dotProduct_star : star v ⬝ᵥ star w = star (w ⬝ᵥ v) := by simp [dotProduct]
#align matrix.star_dot_product_star Matrix.star_dotProduct_star
theorem star_dotProduct : star v ⬝ᵥ w = star (star w ⬝ᵥ v) := by simp [dotProduct]
#align matrix.star_dot_product Matrix.star_dotProduct
theorem dotProduct_star : v ⬝ᵥ star w = star (w ⬝ᵥ star v) := by simp [dotProduct]
#align matrix.dot_product_star Matrix.dotProduct_star
end StarRing
end DotProduct
open Matrix
/-- `M * N` is the usual product of matrices `M` and `N`, i.e. we have that
`(M * N) i k` is the dot product of the `i`-th row of `M` by the `k`-th column of `N`.
This is currently only defined when `m` is finite. -/
-- We want to be lower priority than `instHMul`, but without this we can't have operands with
-- implicit dimensions.
@[default_instance 100]
instance [Fintype m] [Mul α] [AddCommMonoid α] :
HMul (Matrix l m α) (Matrix m n α) (Matrix l n α) where
hMul M N := fun i k => (fun j => M i j) ⬝ᵥ fun j => N j k
#align matrix.mul HMul.hMul
theorem mul_apply [Fintype m] [Mul α] [AddCommMonoid α] {M : Matrix l m α} {N : Matrix m n α}
{i k} : (M * N) i k = ∑ j, M i j * N j k :=
rfl
#align matrix.mul_apply Matrix.mul_apply
instance [Fintype n] [Mul α] [AddCommMonoid α] : Mul (Matrix n n α) where mul M N := M * N
#noalign matrix.mul_eq_mul
theorem mul_apply' [Fintype m] [Mul α] [AddCommMonoid α] {M : Matrix l m α} {N : Matrix m n α}
{i k} : (M * N) i k = (fun j => M i j) ⬝ᵥ fun j => N j k :=
rfl
#align matrix.mul_apply' Matrix.mul_apply'
theorem sum_apply [AddCommMonoid α] (i : m) (j : n) (s : Finset β) (g : β → Matrix m n α) :
(∑ c ∈ s, g c) i j = ∑ c ∈ s, g c i j :=
(congr_fun (s.sum_apply i g) j).trans (s.sum_apply j _)
#align matrix.sum_apply Matrix.sum_apply
theorem two_mul_expl {R : Type*} [CommRing R] (A B : Matrix (Fin 2) (Fin 2) R) :
(A * B) 0 0 = A 0 0 * B 0 0 + A 0 1 * B 1 0 ∧
(A * B) 0 1 = A 0 0 * B 0 1 + A 0 1 * B 1 1 ∧
(A * B) 1 0 = A 1 0 * B 0 0 + A 1 1 * B 1 0 ∧
(A * B) 1 1 = A 1 0 * B 0 1 + A 1 1 * B 1 1 := by
refine ⟨?_, ?_, ?_, ?_⟩ <;>
· rw [Matrix.mul_apply, Finset.sum_fin_eq_sum_range, Finset.sum_range_succ, Finset.sum_range_succ]
simp
#align matrix.two_mul_expl Matrix.two_mul_expl
section AddCommMonoid
variable [AddCommMonoid α] [Mul α]
@[simp]
theorem smul_mul [Fintype n] [Monoid R] [DistribMulAction R α] [IsScalarTower R α α] (a : R)
(M : Matrix m n α) (N : Matrix n l α) : (a • M) * N = a • (M * N) := by
ext
apply smul_dotProduct a
#align matrix.smul_mul Matrix.smul_mul
@[simp]
theorem mul_smul [Fintype n] [Monoid R] [DistribMulAction R α] [SMulCommClass R α α]
(M : Matrix m n α) (a : R) (N : Matrix n l α) : M * (a • N) = a • (M * N) := by
ext
apply dotProduct_smul
#align matrix.mul_smul Matrix.mul_smul
end AddCommMonoid
section NonUnitalNonAssocSemiring
variable [NonUnitalNonAssocSemiring α]
@[simp]
protected theorem mul_zero [Fintype n] (M : Matrix m n α) : M * (0 : Matrix n o α) = 0 := by
ext
apply dotProduct_zero
#align matrix.mul_zero Matrix.mul_zero
@[simp]
protected theorem zero_mul [Fintype m] (M : Matrix m n α) : (0 : Matrix l m α) * M = 0 := by
ext
apply zero_dotProduct
#align matrix.zero_mul Matrix.zero_mul
protected theorem mul_add [Fintype n] (L : Matrix m n α) (M N : Matrix n o α) :
L * (M + N) = L * M + L * N := by
ext
apply dotProduct_add
#align matrix.mul_add Matrix.mul_add
protected theorem add_mul [Fintype m] (L M : Matrix l m α) (N : Matrix m n α) :
(L + M) * N = L * N + M * N := by
ext
apply add_dotProduct
#align matrix.add_mul Matrix.add_mul
instance nonUnitalNonAssocSemiring [Fintype n] : NonUnitalNonAssocSemiring (Matrix n n α) :=
{ Matrix.addCommMonoid with
mul_zero := Matrix.mul_zero
zero_mul := Matrix.zero_mul
left_distrib := Matrix.mul_add
right_distrib := Matrix.add_mul }
@[simp]
theorem diagonal_mul [Fintype m] [DecidableEq m] (d : m → α) (M : Matrix m n α) (i j) :
(diagonal d * M) i j = d i * M i j :=
diagonal_dotProduct _ _ _
#align matrix.diagonal_mul Matrix.diagonal_mul
@[simp]
theorem mul_diagonal [Fintype n] [DecidableEq n] (d : n → α) (M : Matrix m n α) (i j) :
(M * diagonal d) i j = M i j * d j := by
rw [← diagonal_transpose]
apply dotProduct_diagonal
#align matrix.mul_diagonal Matrix.mul_diagonal
@[simp]
theorem diagonal_mul_diagonal [Fintype n] [DecidableEq n] (d₁ d₂ : n → α) :
diagonal d₁ * diagonal d₂ = diagonal fun i => d₁ i * d₂ i := by
ext i j
by_cases h : i = j <;>
simp [h]
#align matrix.diagonal_mul_diagonal Matrix.diagonal_mul_diagonal
theorem diagonal_mul_diagonal' [Fintype n] [DecidableEq n] (d₁ d₂ : n → α) :
diagonal d₁ * diagonal d₂ = diagonal fun i => d₁ i * d₂ i :=
diagonal_mul_diagonal _ _
#align matrix.diagonal_mul_diagonal' Matrix.diagonal_mul_diagonal'
theorem smul_eq_diagonal_mul [Fintype m] [DecidableEq m] (M : Matrix m n α) (a : α) :
a • M = (diagonal fun _ => a) * M := by
ext
simp
#align matrix.smul_eq_diagonal_mul Matrix.smul_eq_diagonal_mul
theorem op_smul_eq_mul_diagonal [Fintype n] [DecidableEq n] (M : Matrix m n α) (a : α) :
MulOpposite.op a • M = M * (diagonal fun _ : n => a) := by
ext
simp
/-- Left multiplication by a matrix, as an `AddMonoidHom` from matrices to matrices. -/
@[simps]
def addMonoidHomMulLeft [Fintype m] (M : Matrix l m α) : Matrix m n α →+ Matrix l n α where
toFun x := M * x
map_zero' := Matrix.mul_zero _
map_add' := Matrix.mul_add _
#align matrix.add_monoid_hom_mul_left Matrix.addMonoidHomMulLeft
/-- Right multiplication by a matrix, as an `AddMonoidHom` from matrices to matrices. -/
@[simps]
def addMonoidHomMulRight [Fintype m] (M : Matrix m n α) : Matrix l m α →+ Matrix l n α where
toFun x := x * M
map_zero' := Matrix.zero_mul _
map_add' _ _ := Matrix.add_mul _ _ _
#align matrix.add_monoid_hom_mul_right Matrix.addMonoidHomMulRight
protected theorem sum_mul [Fintype m] (s : Finset β) (f : β → Matrix l m α) (M : Matrix m n α) :
(∑ a ∈ s, f a) * M = ∑ a ∈ s, f a * M :=
map_sum (addMonoidHomMulRight M) f s
#align matrix.sum_mul Matrix.sum_mul
protected theorem mul_sum [Fintype m] (s : Finset β) (f : β → Matrix m n α) (M : Matrix l m α) :
(M * ∑ a ∈ s, f a) = ∑ a ∈ s, M * f a :=
map_sum (addMonoidHomMulLeft M) f s
#align matrix.mul_sum Matrix.mul_sum
/-- This instance enables use with `smul_mul_assoc`. -/
instance Semiring.isScalarTower [Fintype n] [Monoid R] [DistribMulAction R α]
[IsScalarTower R α α] : IsScalarTower R (Matrix n n α) (Matrix n n α) :=
⟨fun r m n => Matrix.smul_mul r m n⟩
#align matrix.semiring.is_scalar_tower Matrix.Semiring.isScalarTower
/-- This instance enables use with `mul_smul_comm`. -/
instance Semiring.smulCommClass [Fintype n] [Monoid R] [DistribMulAction R α]
[SMulCommClass R α α] : SMulCommClass R (Matrix n n α) (Matrix n n α) :=
⟨fun r m n => (Matrix.mul_smul m r n).symm⟩
#align matrix.semiring.smul_comm_class Matrix.Semiring.smulCommClass
end NonUnitalNonAssocSemiring
section NonAssocSemiring
variable [NonAssocSemiring α]
@[simp]
protected theorem one_mul [Fintype m] [DecidableEq m] (M : Matrix m n α) :
(1 : Matrix m m α) * M = M := by
ext
rw [← diagonal_one, diagonal_mul, one_mul]
#align matrix.one_mul Matrix.one_mul
@[simp]
protected theorem mul_one [Fintype n] [DecidableEq n] (M : Matrix m n α) :
M * (1 : Matrix n n α) = M := by
ext
rw [← diagonal_one, mul_diagonal, mul_one]
#align matrix.mul_one Matrix.mul_one
instance nonAssocSemiring [Fintype n] [DecidableEq n] : NonAssocSemiring (Matrix n n α) :=
{ Matrix.nonUnitalNonAssocSemiring, Matrix.instAddCommMonoidWithOne with
one := 1
one_mul := Matrix.one_mul
mul_one := Matrix.mul_one }
@[simp]
theorem map_mul [Fintype n] {L : Matrix m n α} {M : Matrix n o α} [NonAssocSemiring β]
{f : α →+* β} : (L * M).map f = L.map f * M.map f := by
ext
simp [mul_apply, map_sum]
#align matrix.map_mul Matrix.map_mul
theorem smul_one_eq_diagonal [DecidableEq m] (a : α) :
a • (1 : Matrix m m α) = diagonal fun _ => a := by
simp_rw [← diagonal_one, ← diagonal_smul, Pi.smul_def, smul_eq_mul, mul_one]
theorem op_smul_one_eq_diagonal [DecidableEq m] (a : α) :
MulOpposite.op a • (1 : Matrix m m α) = diagonal fun _ => a := by
simp_rw [← diagonal_one, ← diagonal_smul, Pi.smul_def, op_smul_eq_mul, one_mul]
variable (α n)
/-- `Matrix.diagonal` as a `RingHom`. -/
@[simps]
def diagonalRingHom [Fintype n] [DecidableEq n] : (n → α) →+* Matrix n n α :=
{ diagonalAddMonoidHom n α with
toFun := diagonal
map_one' := diagonal_one
map_mul' := fun _ _ => (diagonal_mul_diagonal' _ _).symm }
#align matrix.diagonal_ring_hom Matrix.diagonalRingHom
end NonAssocSemiring
section NonUnitalSemiring
variable [NonUnitalSemiring α] [Fintype m] [Fintype n]
protected theorem mul_assoc (L : Matrix l m α) (M : Matrix m n α) (N : Matrix n o α) :
L * M * N = L * (M * N) := by
ext
apply dotProduct_assoc
#align matrix.mul_assoc Matrix.mul_assoc
instance nonUnitalSemiring : NonUnitalSemiring (Matrix n n α) :=
{ Matrix.nonUnitalNonAssocSemiring with mul_assoc := Matrix.mul_assoc }
end NonUnitalSemiring
section Semiring
variable [Semiring α]
instance semiring [Fintype n] [DecidableEq n] : Semiring (Matrix n n α) :=
{ Matrix.nonUnitalSemiring, Matrix.nonAssocSemiring with }
end Semiring
section NonUnitalNonAssocRing
variable [NonUnitalNonAssocRing α] [Fintype n]
@[simp]
protected theorem neg_mul (M : Matrix m n α) (N : Matrix n o α) : (-M) * N = -(M * N) := by
ext
apply neg_dotProduct
#align matrix.neg_mul Matrix.neg_mul
@[simp]
protected theorem mul_neg (M : Matrix m n α) (N : Matrix n o α) : M * (-N) = -(M * N) := by
ext
apply dotProduct_neg
#align matrix.mul_neg Matrix.mul_neg
protected theorem sub_mul (M M' : Matrix m n α) (N : Matrix n o α) :
(M - M') * N = M * N - M' * N := by
rw [sub_eq_add_neg, Matrix.add_mul, Matrix.neg_mul, sub_eq_add_neg]
#align matrix.sub_mul Matrix.sub_mul
protected theorem mul_sub (M : Matrix m n α) (N N' : Matrix n o α) :
M * (N - N') = M * N - M * N' := by
rw [sub_eq_add_neg, Matrix.mul_add, Matrix.mul_neg, sub_eq_add_neg]
#align matrix.mul_sub Matrix.mul_sub
instance nonUnitalNonAssocRing : NonUnitalNonAssocRing (Matrix n n α) :=
{ Matrix.nonUnitalNonAssocSemiring, Matrix.addCommGroup with }
end NonUnitalNonAssocRing
instance instNonUnitalRing [Fintype n] [NonUnitalRing α] : NonUnitalRing (Matrix n n α) :=
{ Matrix.nonUnitalSemiring, Matrix.addCommGroup with }
#align matrix.non_unital_ring Matrix.instNonUnitalRing
instance instNonAssocRing [Fintype n] [DecidableEq n] [NonAssocRing α] :
NonAssocRing (Matrix n n α) :=
{ Matrix.nonAssocSemiring, Matrix.instAddCommGroupWithOne with }
#align matrix.non_assoc_ring Matrix.instNonAssocRing
instance instRing [Fintype n] [DecidableEq n] [Ring α] : Ring (Matrix n n α) :=
{ Matrix.semiring, Matrix.instAddCommGroupWithOne with }
#align matrix.ring Matrix.instRing
section Semiring
variable [Semiring α]
theorem diagonal_pow [Fintype n] [DecidableEq n] (v : n → α) (k : ℕ) :
diagonal v ^ k = diagonal (v ^ k) :=
(map_pow (diagonalRingHom n α) v k).symm
#align matrix.diagonal_pow Matrix.diagonal_pow
@[simp]
theorem mul_mul_left [Fintype n] (M : Matrix m n α) (N : Matrix n o α) (a : α) :
(of fun i j => a * M i j) * N = a • (M * N) :=
smul_mul a M N
#align matrix.mul_mul_left Matrix.mul_mul_left
/-- The ring homomorphism `α →+* Matrix n n α`
sending `a` to the diagonal matrix with `a` on the diagonal.
-/
def scalar (n : Type u) [DecidableEq n] [Fintype n] : α →+* Matrix n n α :=
(diagonalRingHom n α).comp <| Pi.constRingHom n α
#align matrix.scalar Matrix.scalar
section Scalar
variable [DecidableEq n] [Fintype n]
@[simp]
theorem scalar_apply (a : α) : scalar n a = diagonal fun _ => a :=
rfl
#align matrix.coe_scalar Matrix.scalar_applyₓ
#noalign matrix.scalar_apply_eq
#noalign matrix.scalar_apply_ne
theorem scalar_inj [Nonempty n] {r s : α} : scalar n r = scalar n s ↔ r = s :=
(diagonal_injective.comp Function.const_injective).eq_iff
#align matrix.scalar_inj Matrix.scalar_inj
theorem scalar_commute_iff {r : α} {M : Matrix n n α} :
Commute (scalar n r) M ↔ r • M = MulOpposite.op r • M := by
simp_rw [Commute, SemiconjBy, scalar_apply, ← smul_eq_diagonal_mul, ← op_smul_eq_mul_diagonal]
theorem scalar_commute (r : α) (hr : ∀ r', Commute r r') (M : Matrix n n α) :
Commute (scalar n r) M := scalar_commute_iff.2 <| ext fun _ _ => hr _
#align matrix.scalar.commute Matrix.scalar_commuteₓ
end Scalar
end Semiring
section CommSemiring
variable [CommSemiring α]
theorem smul_eq_mul_diagonal [Fintype n] [DecidableEq n] (M : Matrix m n α) (a : α) :
a • M = M * diagonal fun _ => a := by
ext
simp [mul_comm]
#align matrix.smul_eq_mul_diagonal Matrix.smul_eq_mul_diagonal
@[simp]
theorem mul_mul_right [Fintype n] (M : Matrix m n α) (N : Matrix n o α) (a : α) :
(M * of fun i j => a * N i j) = a • (M * N) :=
mul_smul M a N
#align matrix.mul_mul_right Matrix.mul_mul_right
end CommSemiring
section Algebra
variable [Fintype n] [DecidableEq n]
variable [CommSemiring R] [Semiring α] [Semiring β] [Algebra R α] [Algebra R β]
instance instAlgebra : Algebra R (Matrix n n α) where
toRingHom := (Matrix.scalar n).comp (algebraMap R α)
commutes' r x := scalar_commute _ (fun r' => Algebra.commutes _ _) _
smul_def' r x := by ext; simp [Matrix.scalar, Algebra.smul_def r]
#align matrix.algebra Matrix.instAlgebra
theorem algebraMap_matrix_apply {r : R} {i j : n} :
algebraMap R (Matrix n n α) r i j = if i = j then algebraMap R α r else 0 := by
dsimp [algebraMap, Algebra.toRingHom, Matrix.scalar]
split_ifs with h <;> simp [h, Matrix.one_apply_ne]
#align matrix.algebra_map_matrix_apply Matrix.algebraMap_matrix_apply
theorem algebraMap_eq_diagonal (r : R) :
algebraMap R (Matrix n n α) r = diagonal (algebraMap R (n → α) r) := rfl
#align matrix.algebra_map_eq_diagonal Matrix.algebraMap_eq_diagonal
#align matrix.algebra_map_eq_smul Algebra.algebraMap_eq_smul_one
theorem algebraMap_eq_diagonalRingHom :
algebraMap R (Matrix n n α) = (diagonalRingHom n α).comp (algebraMap R _) := rfl
#align matrix.algebra_map_eq_diagonal_ring_hom Matrix.algebraMap_eq_diagonalRingHom
@[simp]
theorem map_algebraMap (r : R) (f : α → β) (hf : f 0 = 0)
(hf₂ : f (algebraMap R α r) = algebraMap R β r) :
(algebraMap R (Matrix n n α) r).map f = algebraMap R (Matrix n n β) r := by
rw [algebraMap_eq_diagonal, algebraMap_eq_diagonal, diagonal_map hf]
-- Porting note: (congr) the remaining proof was
-- ```
-- congr 1
-- simp only [hf₂, Pi.algebraMap_apply]
-- ```
-- But some `congr 1` doesn't quite work.
simp only [Pi.algebraMap_apply, diagonal_eq_diagonal_iff]
intro
rw [hf₂]
#align matrix.map_algebra_map Matrix.map_algebraMap
variable (R)
/-- `Matrix.diagonal` as an `AlgHom`. -/
@[simps]
def diagonalAlgHom : (n → α) →ₐ[R] Matrix n n α :=
{ diagonalRingHom n α with
toFun := diagonal
commutes' := fun r => (algebraMap_eq_diagonal r).symm }
#align matrix.diagonal_alg_hom Matrix.diagonalAlgHom
end Algebra
end Matrix
/-!
### Bundled versions of `Matrix.map`
-/
namespace Equiv
/-- The `Equiv` between spaces of matrices induced by an `Equiv` between their
coefficients. This is `Matrix.map` as an `Equiv`. -/
@[simps apply]
def mapMatrix (f : α ≃ β) : Matrix m n α ≃ Matrix m n β where
toFun M := M.map f
invFun M := M.map f.symm
left_inv _ := Matrix.ext fun _ _ => f.symm_apply_apply _
right_inv _ := Matrix.ext fun _ _ => f.apply_symm_apply _
#align equiv.map_matrix Equiv.mapMatrix
@[simp]
theorem mapMatrix_refl : (Equiv.refl α).mapMatrix = Equiv.refl (Matrix m n α) :=
rfl
#align equiv.map_matrix_refl Equiv.mapMatrix_refl
@[simp]
theorem mapMatrix_symm (f : α ≃ β) : f.mapMatrix.symm = (f.symm.mapMatrix : Matrix m n β ≃ _) :=
rfl
#align equiv.map_matrix_symm Equiv.mapMatrix_symm
@[simp]
theorem mapMatrix_trans (f : α ≃ β) (g : β ≃ γ) :
f.mapMatrix.trans g.mapMatrix = ((f.trans g).mapMatrix : Matrix m n α ≃ _) :=
rfl
#align equiv.map_matrix_trans Equiv.mapMatrix_trans
end Equiv
namespace AddMonoidHom
variable [AddZeroClass α] [AddZeroClass β] [AddZeroClass γ]
/-- The `AddMonoidHom` between spaces of matrices induced by an `AddMonoidHom` between their
coefficients. This is `Matrix.map` as an `AddMonoidHom`. -/
@[simps]
def mapMatrix (f : α →+ β) : Matrix m n α →+ Matrix m n β where
toFun M := M.map f
map_zero' := Matrix.map_zero f f.map_zero
map_add' := Matrix.map_add f f.map_add
#align add_monoid_hom.map_matrix AddMonoidHom.mapMatrix
@[simp]
theorem mapMatrix_id : (AddMonoidHom.id α).mapMatrix = AddMonoidHom.id (Matrix m n α) :=
rfl
#align add_monoid_hom.map_matrix_id AddMonoidHom.mapMatrix_id
@[simp]
theorem mapMatrix_comp (f : β →+ γ) (g : α →+ β) :
f.mapMatrix.comp g.mapMatrix = ((f.comp g).mapMatrix : Matrix m n α →+ _) :=
rfl
#align add_monoid_hom.map_matrix_comp AddMonoidHom.mapMatrix_comp
end AddMonoidHom
namespace AddEquiv
variable [Add α] [Add β] [Add γ]
/-- The `AddEquiv` between spaces of matrices induced by an `AddEquiv` between their
coefficients. This is `Matrix.map` as an `AddEquiv`. -/
@[simps apply]
def mapMatrix (f : α ≃+ β) : Matrix m n α ≃+ Matrix m n β :=
{ f.toEquiv.mapMatrix with
toFun := fun M => M.map f
invFun := fun M => M.map f.symm
map_add' := Matrix.map_add f f.map_add }
#align add_equiv.map_matrix AddEquiv.mapMatrix
@[simp]
theorem mapMatrix_refl : (AddEquiv.refl α).mapMatrix = AddEquiv.refl (Matrix m n α) :=
rfl
#align add_equiv.map_matrix_refl AddEquiv.mapMatrix_refl
@[simp]
theorem mapMatrix_symm (f : α ≃+ β) : f.mapMatrix.symm = (f.symm.mapMatrix : Matrix m n β ≃+ _) :=
rfl
#align add_equiv.map_matrix_symm AddEquiv.mapMatrix_symm
@[simp]
theorem mapMatrix_trans (f : α ≃+ β) (g : β ≃+ γ) :
f.mapMatrix.trans g.mapMatrix = ((f.trans g).mapMatrix : Matrix m n α ≃+ _) :=
rfl
#align add_equiv.map_matrix_trans AddEquiv.mapMatrix_trans
end AddEquiv
namespace LinearMap
variable [Semiring R] [AddCommMonoid α] [AddCommMonoid β] [AddCommMonoid γ]
variable [Module R α] [Module R β] [Module R γ]
/-- The `LinearMap` between spaces of matrices induced by a `LinearMap` between their
coefficients. This is `Matrix.map` as a `LinearMap`. -/
@[simps]
def mapMatrix (f : α →ₗ[R] β) : Matrix m n α →ₗ[R] Matrix m n β where
toFun M := M.map f
map_add' := Matrix.map_add f f.map_add
map_smul' r := Matrix.map_smul f r (f.map_smul r)
#align linear_map.map_matrix LinearMap.mapMatrix
@[simp]
theorem mapMatrix_id : LinearMap.id.mapMatrix = (LinearMap.id : Matrix m n α →ₗ[R] _) :=
rfl
#align linear_map.map_matrix_id LinearMap.mapMatrix_id
@[simp]
theorem mapMatrix_comp (f : β →ₗ[R] γ) (g : α →ₗ[R] β) :
f.mapMatrix.comp g.mapMatrix = ((f.comp g).mapMatrix : Matrix m n α →ₗ[R] _) :=
rfl
#align linear_map.map_matrix_comp LinearMap.mapMatrix_comp
end LinearMap
namespace LinearEquiv
variable [Semiring R] [AddCommMonoid α] [AddCommMonoid β] [AddCommMonoid γ]
variable [Module R α] [Module R β] [Module R γ]
/-- The `LinearEquiv` between spaces of matrices induced by a `LinearEquiv` between their
coefficients. This is `Matrix.map` as a `LinearEquiv`. -/
@[simps apply]
def mapMatrix (f : α ≃ₗ[R] β) : Matrix m n α ≃ₗ[R] Matrix m n β :=
{ f.toEquiv.mapMatrix,
f.toLinearMap.mapMatrix with
toFun := fun M => M.map f
invFun := fun M => M.map f.symm }
#align linear_equiv.map_matrix LinearEquiv.mapMatrix
@[simp]
theorem mapMatrix_refl : (LinearEquiv.refl R α).mapMatrix = LinearEquiv.refl R (Matrix m n α) :=
rfl
#align linear_equiv.map_matrix_refl LinearEquiv.mapMatrix_refl
@[simp]
theorem mapMatrix_symm (f : α ≃ₗ[R] β) :
f.mapMatrix.symm = (f.symm.mapMatrix : Matrix m n β ≃ₗ[R] _) :=
rfl
#align linear_equiv.map_matrix_symm LinearEquiv.mapMatrix_symm
@[simp]
theorem mapMatrix_trans (f : α ≃ₗ[R] β) (g : β ≃ₗ[R] γ) :
f.mapMatrix.trans g.mapMatrix = ((f.trans g).mapMatrix : Matrix m n α ≃ₗ[R] _) :=
rfl
#align linear_equiv.map_matrix_trans LinearEquiv.mapMatrix_trans
end LinearEquiv
namespace RingHom
variable [Fintype m] [DecidableEq m]
variable [NonAssocSemiring α] [NonAssocSemiring β] [NonAssocSemiring γ]
/-- The `RingHom` between spaces of square matrices induced by a `RingHom` between their
coefficients. This is `Matrix.map` as a `RingHom`. -/
@[simps]
def mapMatrix (f : α →+* β) : Matrix m m α →+* Matrix m m β :=
{ f.toAddMonoidHom.mapMatrix with
toFun := fun M => M.map f
map_one' := by simp
map_mul' := fun L M => Matrix.map_mul }
#align ring_hom.map_matrix RingHom.mapMatrix
@[simp]
theorem mapMatrix_id : (RingHom.id α).mapMatrix = RingHom.id (Matrix m m α) :=
rfl
#align ring_hom.map_matrix_id RingHom.mapMatrix_id
@[simp]
theorem mapMatrix_comp (f : β →+* γ) (g : α →+* β) :
f.mapMatrix.comp g.mapMatrix = ((f.comp g).mapMatrix : Matrix m m α →+* _) :=
rfl
#align ring_hom.map_matrix_comp RingHom.mapMatrix_comp
end RingHom
namespace RingEquiv
variable [Fintype m] [DecidableEq m]
variable [NonAssocSemiring α] [NonAssocSemiring β] [NonAssocSemiring γ]
/-- The `RingEquiv` between spaces of square matrices induced by a `RingEquiv` between their
coefficients. This is `Matrix.map` as a `RingEquiv`. -/
@[simps apply]
def mapMatrix (f : α ≃+* β) : Matrix m m α ≃+* Matrix m m β :=
{ f.toRingHom.mapMatrix,
f.toAddEquiv.mapMatrix with
toFun := fun M => M.map f
invFun := fun M => M.map f.symm }
#align ring_equiv.map_matrix RingEquiv.mapMatrix
@[simp]
theorem mapMatrix_refl : (RingEquiv.refl α).mapMatrix = RingEquiv.refl (Matrix m m α) :=
rfl
#align ring_equiv.map_matrix_refl RingEquiv.mapMatrix_refl
@[simp]
theorem mapMatrix_symm (f : α ≃+* β) : f.mapMatrix.symm = (f.symm.mapMatrix : Matrix m m β ≃+* _) :=
rfl
#align ring_equiv.map_matrix_symm RingEquiv.mapMatrix_symm
@[simp]
theorem mapMatrix_trans (f : α ≃+* β) (g : β ≃+* γ) :
f.mapMatrix.trans g.mapMatrix = ((f.trans g).mapMatrix : Matrix m m α ≃+* _) :=
rfl
#align ring_equiv.map_matrix_trans RingEquiv.mapMatrix_trans
end RingEquiv
namespace AlgHom
variable [Fintype m] [DecidableEq m]
variable [CommSemiring R] [Semiring α] [Semiring β] [Semiring γ]
variable [Algebra R α] [Algebra R β] [Algebra R γ]
/-- The `AlgHom` between spaces of square matrices induced by an `AlgHom` between their
coefficients. This is `Matrix.map` as an `AlgHom`. -/
@[simps]
def mapMatrix (f : α →ₐ[R] β) : Matrix m m α →ₐ[R] Matrix m m β :=
{ f.toRingHom.mapMatrix with
toFun := fun M => M.map f
commutes' := fun r => Matrix.map_algebraMap r f f.map_zero (f.commutes r) }
#align alg_hom.map_matrix AlgHom.mapMatrix
@[simp]
theorem mapMatrix_id : (AlgHom.id R α).mapMatrix = AlgHom.id R (Matrix m m α) :=
rfl
#align alg_hom.map_matrix_id AlgHom.mapMatrix_id
@[simp]
theorem mapMatrix_comp (f : β →ₐ[R] γ) (g : α →ₐ[R] β) :
f.mapMatrix.comp g.mapMatrix = ((f.comp g).mapMatrix : Matrix m m α →ₐ[R] _) :=
rfl
#align alg_hom.map_matrix_comp AlgHom.mapMatrix_comp
end AlgHom
namespace AlgEquiv
variable [Fintype m] [DecidableEq m]
variable [CommSemiring R] [Semiring α] [Semiring β] [Semiring γ]
variable [Algebra R α] [Algebra R β] [Algebra R γ]
/-- The `AlgEquiv` between spaces of square matrices induced by an `AlgEquiv` between their
coefficients. This is `Matrix.map` as an `AlgEquiv`. -/
@[simps apply]
def mapMatrix (f : α ≃ₐ[R] β) : Matrix m m α ≃ₐ[R] Matrix m m β :=
{ f.toAlgHom.mapMatrix,
f.toRingEquiv.mapMatrix with
toFun := fun M => M.map f
invFun := fun M => M.map f.symm }
#align alg_equiv.map_matrix AlgEquiv.mapMatrix
@[simp]
theorem mapMatrix_refl : AlgEquiv.refl.mapMatrix = (AlgEquiv.refl : Matrix m m α ≃ₐ[R] _) :=
rfl
#align alg_equiv.map_matrix_refl AlgEquiv.mapMatrix_refl
@[simp]
theorem mapMatrix_symm (f : α ≃ₐ[R] β) :
f.mapMatrix.symm = (f.symm.mapMatrix : Matrix m m β ≃ₐ[R] _) :=
rfl
#align alg_equiv.map_matrix_symm AlgEquiv.mapMatrix_symm
@[simp]
theorem mapMatrix_trans (f : α ≃ₐ[R] β) (g : β ≃ₐ[R] γ) :
f.mapMatrix.trans g.mapMatrix = ((f.trans g).mapMatrix : Matrix m m α ≃ₐ[R] _) :=
rfl
#align alg_equiv.map_matrix_trans AlgEquiv.mapMatrix_trans
end AlgEquiv
open Matrix
namespace Matrix
/-- For two vectors `w` and `v`, `vecMulVec w v i j` is defined to be `w i * v j`.
Put another way, `vecMulVec w v` is exactly `col w * row v`. -/
def vecMulVec [Mul α] (w : m → α) (v : n → α) : Matrix m n α :=
of fun x y => w x * v y
#align matrix.vec_mul_vec Matrix.vecMulVec
-- TODO: set as an equation lemma for `vecMulVec`, see mathlib4#3024
theorem vecMulVec_apply [Mul α] (w : m → α) (v : n → α) (i j) : vecMulVec w v i j = w i * v j :=
rfl
#align matrix.vec_mul_vec_apply Matrix.vecMulVec_apply
section NonUnitalNonAssocSemiring
variable [NonUnitalNonAssocSemiring α]
/--
`M *ᵥ v` (notation for `mulVec M v`) is the matrix-vector product of matrix `M` and vector `v`,
where `v` is seen as a column vector.
Put another way, `M *ᵥ v` is the vector whose entries are those of `M * col v` (see `col_mulVec`).
The notation has precedence 73, which comes immediately before ` ⬝ᵥ ` for `Matrix.dotProduct`,
so that `A *ᵥ v ⬝ᵥ B *ᵥ w` is parsed as `(A *ᵥ v) ⬝ᵥ (B *ᵥ w)`.
-/
def mulVec [Fintype n] (M : Matrix m n α) (v : n → α) : m → α
| i => (fun j => M i j) ⬝ᵥ v
#align matrix.mul_vec Matrix.mulVec
@[inherit_doc]
scoped infixr:73 " *ᵥ " => Matrix.mulVec
/--
`v ᵥ* M` (notation for `vecMul v M`) is the vector-matrix product of vector `v` and matrix `M`,
where `v` is seen as a row vector.
Put another way, `v ᵥ* M` is the vector whose entries are those of `row v * M` (see `row_vecMul`).
The notation has precedence 73, which comes immediately before ` ⬝ᵥ ` for `Matrix.dotProduct`,
so that `v ᵥ* A ⬝ᵥ w ᵥ* B` is parsed as `(v ᵥ* A) ⬝ᵥ (w ᵥ* B)`.
-/
def vecMul [Fintype m] (v : m → α) (M : Matrix m n α) : n → α
| j => v ⬝ᵥ fun i => M i j
#align matrix.vec_mul Matrix.vecMul
@[inherit_doc]
scoped infixl:73 " ᵥ* " => Matrix.vecMul
/-- Left multiplication by a matrix, as an `AddMonoidHom` from vectors to vectors. -/
@[simps]
def mulVec.addMonoidHomLeft [Fintype n] (v : n → α) : Matrix m n α →+ m → α where
toFun M := M *ᵥ v
map_zero' := by
ext
simp [mulVec]
map_add' x y := by
ext m
apply add_dotProduct
#align matrix.mul_vec.add_monoid_hom_left Matrix.mulVec.addMonoidHomLeft
/-- The `i`th row of the multiplication is the same as the `vecMul` with the `i`th row of `A`. -/
theorem mul_apply_eq_vecMul [Fintype n] (A : Matrix m n α) (B : Matrix n o α) (i : m) :
(A * B) i = A i ᵥ* B :=
rfl
theorem mulVec_diagonal [Fintype m] [DecidableEq m] (v w : m → α) (x : m) :
(diagonal v *ᵥ w) x = v x * w x :=
diagonal_dotProduct v w x
#align matrix.mul_vec_diagonal Matrix.mulVec_diagonal
theorem vecMul_diagonal [Fintype m] [DecidableEq m] (v w : m → α) (x : m) :
(v ᵥ* diagonal w) x = v x * w x :=
dotProduct_diagonal' v w x
#align matrix.vec_mul_diagonal Matrix.vecMul_diagonal
/-- Associate the dot product of `mulVec` to the left. -/
theorem dotProduct_mulVec [Fintype n] [Fintype m] [NonUnitalSemiring R] (v : m → R)
(A : Matrix m n R) (w : n → R) : v ⬝ᵥ A *ᵥ w = v ᵥ* A ⬝ᵥ w := by
simp only [dotProduct, vecMul, mulVec, Finset.mul_sum, Finset.sum_mul, mul_assoc]
exact Finset.sum_comm
#align matrix.dot_product_mul_vec Matrix.dotProduct_mulVec
@[simp]
theorem mulVec_zero [Fintype n] (A : Matrix m n α) : A *ᵥ 0 = 0 := by
ext
simp [mulVec]
#align matrix.mul_vec_zero Matrix.mulVec_zero
@[simp]
theorem zero_vecMul [Fintype m] (A : Matrix m n α) : 0 ᵥ* A = 0 := by
ext
simp [vecMul]
#align matrix.zero_vec_mul Matrix.zero_vecMul
@[simp]
theorem zero_mulVec [Fintype n] (v : n → α) : (0 : Matrix m n α) *ᵥ v = 0 := by
ext
simp [mulVec]
#align matrix.zero_mul_vec Matrix.zero_mulVec
@[simp]
theorem vecMul_zero [Fintype m] (v : m → α) : v ᵥ* (0 : Matrix m n α) = 0 := by
ext
simp [vecMul]
#align matrix.vec_mul_zero Matrix.vecMul_zero
theorem smul_mulVec_assoc [Fintype n] [Monoid R] [DistribMulAction R α] [IsScalarTower R α α]
(a : R) (A : Matrix m n α) (b : n → α) : (a • A) *ᵥ b = a • A *ᵥ b := by
ext
apply smul_dotProduct
#align matrix.smul_mul_vec_assoc Matrix.smul_mulVec_assoc
theorem mulVec_add [Fintype n] (A : Matrix m n α) (x y : n → α) :
A *ᵥ (x + y) = A *ᵥ x + A *ᵥ y := by
ext
apply dotProduct_add
#align matrix.mul_vec_add Matrix.mulVec_add
theorem add_mulVec [Fintype n] (A B : Matrix m n α) (x : n → α) :
(A + B) *ᵥ x = A *ᵥ x + B *ᵥ x := by
ext
apply add_dotProduct
#align matrix.add_mul_vec Matrix.add_mulVec
| Mathlib/Data/Matrix/Basic.lean | 1,771 | 1,774 | theorem vecMul_add [Fintype m] (A B : Matrix m n α) (x : m → α) :
x ᵥ* (A + B) = x ᵥ* A + x ᵥ* B := by |
ext
apply dotProduct_add
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Kenny Lau, Scott Morrison, Alex Keizer
-/
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.fin_range from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
/-!
# Lists of elements of `Fin n`
This file develops some results on `finRange n`.
-/
universe u
namespace List
variable {α : Type u}
@[simp]
theorem map_coe_finRange (n : ℕ) : ((finRange n) : List (Fin n)).map (Fin.val) = List.range n := by
simp_rw [finRange, map_pmap, pmap_eq_map]
exact List.map_id _
#align list.map_coe_fin_range List.map_coe_finRange
theorem finRange_succ_eq_map (n : ℕ) : finRange n.succ = 0 :: (finRange n).map Fin.succ := by
apply map_injective_iff.mpr Fin.val_injective
rw [map_cons, map_coe_finRange, range_succ_eq_map, Fin.val_zero, ← map_coe_finRange, map_map,
map_map]
simp only [Function.comp, Fin.val_succ]
#align list.fin_range_succ_eq_map List.finRange_succ_eq_map
theorem finRange_succ (n : ℕ) :
finRange n.succ = (finRange n |>.map Fin.castSucc |>.concat (.last _)) := by
apply map_injective_iff.mpr Fin.val_injective
simp [range_succ, Function.comp_def]
-- Porting note: `map_nth_le` moved to `List.finRange_map_get` in Data.List.Range
theorem ofFn_eq_pmap {n} {f : Fin n → α} :
ofFn f = pmap (fun i hi => f ⟨i, hi⟩) (range n) fun _ => mem_range.1 := by
rw [pmap_eq_map_attach]
exact ext_get (by simp) fun i hi1 hi2 => by simp [get_ofFn f ⟨i, hi1⟩]
#align list.of_fn_eq_pmap List.ofFn_eq_pmap
theorem ofFn_id (n) : ofFn id = finRange n :=
ofFn_eq_pmap
#align list.of_fn_id List.ofFn_id
theorem ofFn_eq_map {n} {f : Fin n → α} : ofFn f = (finRange n).map f := by
rw [← ofFn_id, map_ofFn, Function.comp_id]
#align list.of_fn_eq_map List.ofFn_eq_map
theorem nodup_ofFn_ofInjective {n} {f : Fin n → α} (hf : Function.Injective f) :
Nodup (ofFn f) := by
rw [ofFn_eq_pmap]
exact (nodup_range n).pmap fun _ _ _ _ H => Fin.val_eq_of_eq <| hf H
#align list.nodup_of_fn_of_injective List.nodup_ofFn_ofInjective
| Mathlib/Data/List/FinRange.lean | 64 | 72 | theorem nodup_ofFn {n} {f : Fin n → α} : Nodup (ofFn f) ↔ Function.Injective f := by |
refine ⟨?_, nodup_ofFn_ofInjective⟩
refine Fin.consInduction ?_ (fun x₀ xs ih => ?_) f
· intro _
exact Function.injective_of_subsingleton _
· intro h
rw [Fin.cons_injective_iff]
simp_rw [ofFn_succ, Fin.cons_succ, nodup_cons, Fin.cons_zero, mem_ofFn] at h
exact h.imp_right ih
|
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.Probability.Independence.Basic
import Mathlib.Probability.Independence.Conditional
#align_import probability.independence.zero_one from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740"
/-!
# Kolmogorov's 0-1 law
Let `s : ι → MeasurableSpace Ω` be an independent sequence of sub-σ-algebras. Then any set which
is measurable with respect to the tail σ-algebra `limsup s atTop` has probability 0 or 1.
## Main statements
* `measure_zero_or_one_of_measurableSet_limsup_atTop`: Kolmogorov's 0-1 law. Any set which is
measurable with respect to the tail σ-algebra `limsup s atTop` of an independent sequence of
σ-algebras `s` has probability 0 or 1.
-/
open MeasureTheory MeasurableSpace
open scoped MeasureTheory ENNReal
namespace ProbabilityTheory
variable {α Ω ι : Type*} {_mα : MeasurableSpace α} {s : ι → MeasurableSpace Ω}
{m m0 : MeasurableSpace Ω} {κ : kernel α Ω} {μα : Measure α} {μ : Measure Ω}
theorem kernel.measure_eq_zero_or_one_or_top_of_indepSet_self {t : Set Ω}
(h_indep : kernel.IndepSet t t κ μα) :
∀ᵐ a ∂μα, κ a t = 0 ∨ κ a t = 1 ∨ κ a t = ∞ := by
specialize h_indep t t (measurableSet_generateFrom (Set.mem_singleton t))
(measurableSet_generateFrom (Set.mem_singleton t))
filter_upwards [h_indep] with a ha
by_cases h0 : κ a t = 0
· exact Or.inl h0
by_cases h_top : κ a t = ∞
· exact Or.inr (Or.inr h_top)
rw [← one_mul (κ a (t ∩ t)), Set.inter_self, ENNReal.mul_eq_mul_right h0 h_top] at ha
exact Or.inr (Or.inl ha.symm)
theorem measure_eq_zero_or_one_or_top_of_indepSet_self {t : Set Ω}
(h_indep : IndepSet t t μ) : μ t = 0 ∨ μ t = 1 ∨ μ t = ∞ := by
simpa only [ae_dirac_eq, Filter.eventually_pure]
using kernel.measure_eq_zero_or_one_or_top_of_indepSet_self h_indep
#align probability_theory.measure_eq_zero_or_one_or_top_of_indep_set_self ProbabilityTheory.measure_eq_zero_or_one_or_top_of_indepSet_self
theorem kernel.measure_eq_zero_or_one_of_indepSet_self [∀ a, IsFiniteMeasure (κ a)] {t : Set Ω}
(h_indep : IndepSet t t κ μα) :
∀ᵐ a ∂μα, κ a t = 0 ∨ κ a t = 1 := by
filter_upwards [measure_eq_zero_or_one_or_top_of_indepSet_self h_indep] with a h_0_1_top
simpa only [measure_ne_top (κ a), or_false] using h_0_1_top
theorem measure_eq_zero_or_one_of_indepSet_self [IsFiniteMeasure μ] {t : Set Ω}
(h_indep : IndepSet t t μ) : μ t = 0 ∨ μ t = 1 := by
simpa only [ae_dirac_eq, Filter.eventually_pure]
using kernel.measure_eq_zero_or_one_of_indepSet_self h_indep
#align probability_theory.measure_eq_zero_or_one_of_indep_set_self ProbabilityTheory.measure_eq_zero_or_one_of_indepSet_self
theorem condexp_eq_zero_or_one_of_condIndepSet_self
[StandardBorelSpace Ω] [Nonempty Ω]
(hm : m ≤ m0) [hμ : IsFiniteMeasure μ] {t : Set Ω} (ht : MeasurableSet t)
(h_indep : CondIndepSet m hm t t μ) :
∀ᵐ ω ∂μ, (μ⟦t | m⟧) ω = 0 ∨ (μ⟦t | m⟧) ω = 1 := by
have h := ae_of_ae_trim hm (kernel.measure_eq_zero_or_one_of_indepSet_self h_indep)
filter_upwards [condexpKernel_ae_eq_condexp hm ht, h] with ω hω_eq hω
rw [← hω_eq, ENNReal.toReal_eq_zero_iff, ENNReal.toReal_eq_one_iff]
cases hω with
| inl h => exact Or.inl (Or.inl h)
| inr h => exact Or.inr h
variable [IsMarkovKernel κ] [IsProbabilityMeasure μ]
open Filter
theorem kernel.indep_biSup_compl (h_le : ∀ n, s n ≤ m0) (h_indep : iIndep s κ μα) (t : Set ι) :
Indep (⨆ n ∈ t, s n) (⨆ n ∈ tᶜ, s n) κ μα :=
indep_iSup_of_disjoint h_le h_indep disjoint_compl_right
theorem indep_biSup_compl (h_le : ∀ n, s n ≤ m0) (h_indep : iIndep s μ) (t : Set ι) :
Indep (⨆ n ∈ t, s n) (⨆ n ∈ tᶜ, s n) μ :=
kernel.indep_biSup_compl h_le h_indep t
#align probability_theory.indep_bsupr_compl ProbabilityTheory.indep_biSup_compl
theorem condIndep_biSup_compl [StandardBorelSpace Ω] [Nonempty Ω]
(hm : m ≤ m0) [IsFiniteMeasure μ]
(h_le : ∀ n, s n ≤ m0) (h_indep : iCondIndep m hm s μ) (t : Set ι) :
CondIndep m (⨆ n ∈ t, s n) (⨆ n ∈ tᶜ, s n) hm μ :=
kernel.indep_biSup_compl h_le h_indep t
section Abstract
variable {α : Type*} {p : Set ι → Prop} {f : Filter ι} {ns : α → Set ι}
/-! We prove a version of Kolmogorov's 0-1 law for the σ-algebra `limsup s f` where `f` is a filter
for which we can define the following two functions:
* `p : Set ι → Prop` such that for a set `t`, `p t → tᶜ ∈ f`,
* `ns : α → Set ι` a directed sequence of sets which all verify `p` and such that
`⋃ a, ns a = Set.univ`.
For the example of `f = atTop`, we can take
`p = bddAbove` and `ns : ι → Set ι := fun i => Set.Iic i`.
-/
| Mathlib/Probability/Independence/ZeroOne.lean | 109 | 115 | theorem kernel.indep_biSup_limsup (h_le : ∀ n, s n ≤ m0) (h_indep : iIndep s κ μα)
(hf : ∀ t, p t → tᶜ ∈ f) {t : Set ι} (ht : p t) :
Indep (⨆ n ∈ t, s n) (limsup s f) κ μα := by |
refine indep_of_indep_of_le_right (indep_biSup_compl h_le h_indep t) ?_
refine limsSup_le_of_le (by isBoundedDefault) ?_
simp only [Set.mem_compl_iff, eventually_map]
exact eventually_of_mem (hf t ht) le_iSup₂
|
/-
Copyright (c) 2022 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.AlgebraicGeometry.Gluing
import Mathlib.CategoryTheory.Limits.Opposites
import Mathlib.AlgebraicGeometry.AffineScheme
import Mathlib.CategoryTheory.Limits.Shapes.Diagonal
#align_import algebraic_geometry.pullbacks from "leanprover-community/mathlib"@"7316286ff2942aa14e540add9058c6b0aa1c8070"
/-!
# Fibred products of schemes
In this file we construct the fibred product of schemes via gluing.
We roughly follow [har77] Theorem 3.3.
In particular, the main construction is to show that for an open cover `{ Uᵢ }` of `X`, if there
exist fibred products `Uᵢ ×[Z] Y` for each `i`, then there exists a fibred product `X ×[Z] Y`.
Then, for constructing the fibred product for arbitrary schemes `X, Y, Z`, we can use the
construction to reduce to the case where `X, Y, Z` are all affine, where fibred products are
constructed via tensor products.
-/
set_option linter.uppercaseLean3 false
universe v u
noncomputable section
open CategoryTheory CategoryTheory.Limits AlgebraicGeometry
namespace AlgebraicGeometry.Scheme
namespace Pullback
variable {C : Type u} [Category.{v} C]
variable {X Y Z : Scheme.{u}} (𝒰 : OpenCover.{u} X) (f : X ⟶ Z) (g : Y ⟶ Z)
variable [∀ i, HasPullback (𝒰.map i ≫ f) g]
/-- The intersection of `Uᵢ ×[Z] Y` and `Uⱼ ×[Z] Y` is given by (Uᵢ ×[Z] Y) ×[X] Uⱼ -/
def v (i j : 𝒰.J) : Scheme :=
pullback ((pullback.fst : pullback (𝒰.map i ≫ f) g ⟶ _) ≫ 𝒰.map i) (𝒰.map j)
#align algebraic_geometry.Scheme.pullback.V AlgebraicGeometry.Scheme.Pullback.v
/-- The canonical transition map `(Uᵢ ×[Z] Y) ×[X] Uⱼ ⟶ (Uⱼ ×[Z] Y) ×[X] Uᵢ` given by the fact
that pullbacks are associative and symmetric. -/
def t (i j : 𝒰.J) : v 𝒰 f g i j ⟶ v 𝒰 f g j i := by
have : HasPullback (pullback.snd ≫ 𝒰.map i ≫ f) g :=
hasPullback_assoc_symm (𝒰.map j) (𝒰.map i) (𝒰.map i ≫ f) g
have : HasPullback (pullback.snd ≫ 𝒰.map j ≫ f) g :=
hasPullback_assoc_symm (𝒰.map i) (𝒰.map j) (𝒰.map j ≫ f) g
refine (pullbackSymmetry ..).hom ≫ (pullbackAssoc ..).inv ≫ ?_
refine ?_ ≫ (pullbackAssoc ..).hom ≫ (pullbackSymmetry ..).hom
refine pullback.map _ _ _ _ (pullbackSymmetry _ _).hom (𝟙 _) (𝟙 _) ?_ ?_
· rw [pullbackSymmetry_hom_comp_snd_assoc, pullback.condition_assoc, Category.comp_id]
· rw [Category.comp_id, Category.id_comp]
#align algebraic_geometry.Scheme.pullback.t AlgebraicGeometry.Scheme.Pullback.t
@[simp, reassoc]
theorem t_fst_fst (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.fst ≫ pullback.fst = pullback.snd := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackAssoc_hom_snd_fst,
pullback.lift_fst_assoc, pullbackSymmetry_hom_comp_snd, pullbackAssoc_inv_fst_fst,
pullbackSymmetry_hom_comp_fst]
#align algebraic_geometry.Scheme.pullback.t_fst_fst AlgebraicGeometry.Scheme.Pullback.t_fst_fst
@[simp, reassoc]
theorem t_fst_snd (i j : 𝒰.J) :
t 𝒰 f g i j ≫ pullback.fst ≫ pullback.snd = pullback.fst ≫ pullback.snd := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_fst_assoc, pullbackAssoc_hom_snd_snd,
pullback.lift_snd, Category.comp_id, pullbackAssoc_inv_snd, pullbackSymmetry_hom_comp_snd_assoc]
#align algebraic_geometry.Scheme.pullback.t_fst_snd AlgebraicGeometry.Scheme.Pullback.t_fst_snd
@[simp, reassoc]
theorem t_snd (i j : 𝒰.J) : t 𝒰 f g i j ≫ pullback.snd = pullback.fst ≫ pullback.fst := by
simp only [t, Category.assoc, pullbackSymmetry_hom_comp_snd, pullbackAssoc_hom_fst,
pullback.lift_fst_assoc, pullbackSymmetry_hom_comp_fst, pullbackAssoc_inv_fst_snd,
pullbackSymmetry_hom_comp_snd_assoc]
#align algebraic_geometry.Scheme.pullback.t_snd AlgebraicGeometry.Scheme.Pullback.t_snd
theorem t_id (i : 𝒰.J) : t 𝒰 f g i i = 𝟙 _ := by
apply pullback.hom_ext <;> rw [Category.id_comp]
· apply pullback.hom_ext
· rw [← cancel_mono (𝒰.map i)]; simp only [pullback.condition, Category.assoc, t_fst_fst]
· simp only [Category.assoc, t_fst_snd]
· rw [← cancel_mono (𝒰.map i)]; simp only [pullback.condition, t_snd, Category.assoc]
#align algebraic_geometry.Scheme.pullback.t_id AlgebraicGeometry.Scheme.Pullback.t_id
/-- The inclusion map of `V i j = (Uᵢ ×[Z] Y) ×[X] Uⱼ ⟶ Uᵢ ×[Z] Y`-/
abbrev fV (i j : 𝒰.J) : v 𝒰 f g i j ⟶ pullback (𝒰.map i ≫ f) g :=
pullback.fst
#align algebraic_geometry.Scheme.pullback.fV AlgebraicGeometry.Scheme.Pullback.fV
/-- The map `((Xᵢ ×[Z] Y) ×[X] Xⱼ) ×[Xᵢ ×[Z] Y] ((Xᵢ ×[Z] Y) ×[X] Xₖ)` ⟶
`((Xⱼ ×[Z] Y) ×[X] Xₖ) ×[Xⱼ ×[Z] Y] ((Xⱼ ×[Z] Y) ×[X] Xᵢ)` needed for gluing -/
def t' (i j k : 𝒰.J) :
pullback (fV 𝒰 f g i j) (fV 𝒰 f g i k) ⟶ pullback (fV 𝒰 f g j k) (fV 𝒰 f g j i) := by
refine (pullbackRightPullbackFstIso ..).hom ≫ ?_
refine ?_ ≫ (pullbackSymmetry _ _).hom
refine ?_ ≫ (pullbackRightPullbackFstIso ..).inv
refine pullback.map _ _ _ _ (t 𝒰 f g i j) (𝟙 _) (𝟙 _) ?_ ?_
· simp_rw [Category.comp_id, t_fst_fst_assoc, ← pullback.condition]
· rw [Category.comp_id, Category.id_comp]
#align algebraic_geometry.Scheme.pullback.t' AlgebraicGeometry.Scheme.Pullback.t'
@[simp, reassoc]
theorem t'_fst_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_fst_assoc, pullback.lift_fst_assoc, t_fst_fst,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_fst_fst_fst AlgebraicGeometry.Scheme.Pullback.t'_fst_fst_fst
@[simp, reassoc]
theorem t'_fst_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_fst_assoc, pullback.lift_fst_assoc, t_fst_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_fst_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_fst_fst_snd
@[simp, reassoc]
theorem t'_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.fst ≫ pullback.snd = pullback.snd ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_fst_assoc,
pullbackRightPullbackFstIso_inv_snd_snd, pullback.lift_snd, Category.comp_id,
pullbackRightPullbackFstIso_hom_snd]
#align algebraic_geometry.Scheme.pullback.t'_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_fst_snd
@[simp, reassoc]
theorem t'_snd_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_fst_fst,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_fst_fst AlgebraicGeometry.Scheme.Pullback.t'_snd_fst_fst
@[simp, reassoc]
theorem t'_snd_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_fst_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_fst_snd AlgebraicGeometry.Scheme.Pullback.t'_snd_fst_snd
@[simp, reassoc]
theorem t'_snd_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ pullback.snd ≫ pullback.snd = pullback.fst ≫ pullback.fst ≫ pullback.fst := by
simp only [t', Category.assoc, pullbackSymmetry_hom_comp_snd_assoc,
pullbackRightPullbackFstIso_inv_fst_assoc, pullback.lift_fst_assoc, t_snd,
pullbackRightPullbackFstIso_hom_fst_assoc]
#align algebraic_geometry.Scheme.pullback.t'_snd_snd AlgebraicGeometry.Scheme.Pullback.t'_snd_snd
theorem cocycle_fst_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.fst ≫ pullback.fst =
pullback.fst ≫ pullback.fst ≫ pullback.fst := by
simp only [t'_fst_fst_fst, t'_fst_snd, t'_snd_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_fst_fst AlgebraicGeometry.Scheme.Pullback.cocycle_fst_fst_fst
theorem cocycle_fst_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.fst ≫ pullback.snd := by
simp only [t'_fst_fst_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_fst_snd AlgebraicGeometry.Scheme.Pullback.cocycle_fst_fst_snd
theorem cocycle_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.fst ≫ pullback.snd =
pullback.fst ≫ pullback.snd := by
simp only [t'_fst_snd, t'_snd_snd, t'_fst_fst_fst]
#align algebraic_geometry.Scheme.pullback.cocycle_fst_snd AlgebraicGeometry.Scheme.Pullback.cocycle_fst_snd
theorem cocycle_snd_fst_fst (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.snd ≫ pullback.fst ≫ pullback.fst =
pullback.snd ≫ pullback.fst ≫ pullback.fst := by
rw [← cancel_mono (𝒰.map i)]
simp only [pullback.condition_assoc, t'_snd_fst_fst, t'_fst_snd, t'_snd_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_snd_fst_fst AlgebraicGeometry.Scheme.Pullback.cocycle_snd_fst_fst
theorem cocycle_snd_fst_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.snd ≫ pullback.fst ≫ pullback.snd =
pullback.snd ≫ pullback.fst ≫ pullback.snd := by
simp only [pullback.condition_assoc, t'_snd_fst_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_snd_fst_snd AlgebraicGeometry.Scheme.Pullback.cocycle_snd_fst_snd
theorem cocycle_snd_snd (i j k : 𝒰.J) :
t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j ≫ pullback.snd ≫ pullback.snd =
pullback.snd ≫ pullback.snd := by
simp only [t'_snd_snd, t'_fst_fst_fst, t'_fst_snd]
#align algebraic_geometry.Scheme.pullback.cocycle_snd_snd AlgebraicGeometry.Scheme.Pullback.cocycle_snd_snd
-- `by tidy` should solve it, but it times out.
theorem cocycle (i j k : 𝒰.J) : t' 𝒰 f g i j k ≫ t' 𝒰 f g j k i ≫ t' 𝒰 f g k i j = 𝟙 _ := by
apply pullback.hom_ext <;> rw [Category.id_comp]
· apply pullback.hom_ext
· apply pullback.hom_ext
· simp_rw [Category.assoc, cocycle_fst_fst_fst 𝒰 f g i j k]
· simp_rw [Category.assoc, cocycle_fst_fst_snd 𝒰 f g i j k]
· simp_rw [Category.assoc, cocycle_fst_snd 𝒰 f g i j k]
· apply pullback.hom_ext
· apply pullback.hom_ext
· simp_rw [Category.assoc, cocycle_snd_fst_fst 𝒰 f g i j k]
· simp_rw [Category.assoc, cocycle_snd_fst_snd 𝒰 f g i j k]
· simp_rw [Category.assoc, cocycle_snd_snd 𝒰 f g i j k]
#align algebraic_geometry.Scheme.pullback.cocycle AlgebraicGeometry.Scheme.Pullback.cocycle
/-- Given `Uᵢ ×[Z] Y`, this is the glued fibered product `X ×[Z] Y`. -/
@[simps U V f t t', simps (config := .lemmasOnly) J]
def gluing : Scheme.GlueData.{u} where
J := 𝒰.J
U i := pullback (𝒰.map i ≫ f) g
V := fun ⟨i, j⟩ => v 𝒰 f g i j
-- `p⁻¹(Uᵢ ∩ Uⱼ)` where `p : Uᵢ ×[Z] Y ⟶ Uᵢ ⟶ X`.
f i j := pullback.fst
f_id i := inferInstance
f_open := inferInstance
t i j := t 𝒰 f g i j
t_id i := t_id 𝒰 f g i
t' i j k := t' 𝒰 f g i j k
t_fac i j k := by
apply pullback.hom_ext
on_goal 1 => apply pullback.hom_ext
all_goals
simp only [t'_snd_fst_fst, t'_snd_fst_snd, t'_snd_snd, t_fst_fst, t_fst_snd, t_snd,
Category.assoc]
cocycle i j k := cocycle 𝒰 f g i j k
#align algebraic_geometry.Scheme.pullback.gluing AlgebraicGeometry.Scheme.Pullback.gluing
@[simp]
lemma gluing_ι (j : 𝒰.J) :
(gluing 𝒰 f g).ι j = Multicoequalizer.π (gluing 𝒰 f g).diagram j := rfl
/-- The first projection from the glued scheme into `X`. -/
def p1 : (gluing 𝒰 f g).glued ⟶ X := by
apply Multicoequalizer.desc (gluing 𝒰 f g).diagram _ fun i ↦ pullback.fst ≫ 𝒰.map i
simp [t_fst_fst_assoc, ← pullback.condition]
#align algebraic_geometry.Scheme.pullback.p1 AlgebraicGeometry.Scheme.Pullback.p1
/-- The second projection from the glued scheme into `Y`. -/
def p2 : (gluing 𝒰 f g).glued ⟶ Y := by
apply Multicoequalizer.desc _ _ fun i ↦ pullback.snd
simp [t_fst_snd]
#align algebraic_geometry.Scheme.pullback.p2 AlgebraicGeometry.Scheme.Pullback.p2
theorem p_comm : p1 𝒰 f g ≫ f = p2 𝒰 f g ≫ g := by
apply Multicoequalizer.hom_ext
simp [p1, p2, pullback.condition]
#align algebraic_geometry.Scheme.pullback.p_comm AlgebraicGeometry.Scheme.Pullback.p_comm
variable (s : PullbackCone f g)
/-- (Implementation)
The canonical map `(s.X ×[X] Uᵢ) ×[s.X] (s.X ×[X] Uⱼ) ⟶ (Uᵢ ×[Z] Y) ×[X] Uⱼ`
This is used in `gluedLift`. -/
def gluedLiftPullbackMap (i j : 𝒰.J) :
pullback ((𝒰.pullbackCover s.fst).map i) ((𝒰.pullbackCover s.fst).map j) ⟶
(gluing 𝒰 f g).V ⟨i, j⟩ := by
refine (pullbackRightPullbackFstIso _ _ _).hom ≫ ?_
refine pullback.map _ _ _ _ ?_ (𝟙 _) (𝟙 _) ?_ ?_
· exact (pullbackSymmetry _ _).hom ≫
pullback.map _ _ _ _ (𝟙 _) s.snd f (Category.id_comp _).symm s.condition
· simpa using pullback.condition
· simp only [Category.comp_id, Category.id_comp]
#align algebraic_geometry.Scheme.pullback.glued_lift_pullback_map AlgebraicGeometry.Scheme.Pullback.gluedLiftPullbackMap
@[reassoc]
theorem gluedLiftPullbackMap_fst (i j : 𝒰.J) :
gluedLiftPullbackMap 𝒰 f g s i j ≫ pullback.fst =
pullback.fst ≫
(pullbackSymmetry _ _).hom ≫
pullback.map _ _ _ _ (𝟙 _) s.snd f (Category.id_comp _).symm s.condition := by
simp [gluedLiftPullbackMap]
#align algebraic_geometry.Scheme.pullback.glued_lift_pullback_map_fst AlgebraicGeometry.Scheme.Pullback.gluedLiftPullbackMap_fst
@[reassoc]
theorem gluedLiftPullbackMap_snd (i j : 𝒰.J) :
gluedLiftPullbackMap 𝒰 f g s i j ≫ pullback.snd = pullback.snd ≫ pullback.snd := by
simp [gluedLiftPullbackMap]
#align algebraic_geometry.Scheme.pullback.glued_lift_pullback_map_snd AlgebraicGeometry.Scheme.Pullback.gluedLiftPullbackMap_snd
/-- The lifted map `s.X ⟶ (gluing 𝒰 f g).glued` in order to show that `(gluing 𝒰 f g).glued` is
indeed the pullback.
Given a pullback cone `s`, we have the maps `s.fst ⁻¹' Uᵢ ⟶ Uᵢ` and
`s.fst ⁻¹' Uᵢ ⟶ s.X ⟶ Y` that we may lift to a map `s.fst ⁻¹' Uᵢ ⟶ Uᵢ ×[Z] Y`.
to glue these into a map `s.X ⟶ Uᵢ ×[Z] Y`, we need to show that the maps agree on
`(s.fst ⁻¹' Uᵢ) ×[s.X] (s.fst ⁻¹' Uⱼ) ⟶ Uᵢ ×[Z] Y`. This is achieved by showing that both of these
maps factors through `gluedLiftPullbackMap`.
-/
def gluedLift : s.pt ⟶ (gluing 𝒰 f g).glued := by
fapply (𝒰.pullbackCover s.fst).glueMorphisms
· exact fun i ↦ (pullbackSymmetry _ _).hom ≫
pullback.map _ _ _ _ (𝟙 _) s.snd f (Category.id_comp _).symm s.condition ≫ (gluing 𝒰 f g).ι i
intro i j
rw [← gluedLiftPullbackMap_fst_assoc, ← gluing_f, ← (gluing 𝒰 f g).glue_condition i j,
gluing_t, gluing_f]
simp_rw [← Category.assoc]
congr 1
apply pullback.hom_ext <;> simp_rw [Category.assoc]
· rw [t_fst_fst, gluedLiftPullbackMap_snd]
congr 1
rw [← Iso.inv_comp_eq, pullbackSymmetry_inv_comp_snd, pullback.lift_fst, Category.comp_id]
· rw [t_fst_snd, gluedLiftPullbackMap_fst_assoc, pullback.lift_snd, pullback.lift_snd]
simp_rw [pullbackSymmetry_hom_comp_snd_assoc]
exact pullback.condition_assoc _
#align algebraic_geometry.Scheme.pullback.glued_lift AlgebraicGeometry.Scheme.Pullback.gluedLift
theorem gluedLift_p1 : gluedLift 𝒰 f g s ≫ p1 𝒰 f g = s.fst := by
rw [← cancel_epi (𝒰.pullbackCover s.fst).fromGlued]
apply Multicoequalizer.hom_ext
intro b
simp_rw [OpenCover.fromGlued, Multicoequalizer.π_desc_assoc, gluedLift, ← Category.assoc]
simp_rw [(𝒰.pullbackCover s.fst).ι_glueMorphisms]
simp [p1, pullback.condition]
#align algebraic_geometry.Scheme.pullback.glued_lift_p1 AlgebraicGeometry.Scheme.Pullback.gluedLift_p1
| Mathlib/AlgebraicGeometry/Pullbacks.lean | 323 | 329 | theorem gluedLift_p2 : gluedLift 𝒰 f g s ≫ p2 𝒰 f g = s.snd := by |
rw [← cancel_epi (𝒰.pullbackCover s.fst).fromGlued]
apply Multicoequalizer.hom_ext
intro b
simp_rw [OpenCover.fromGlued, Multicoequalizer.π_desc_assoc, gluedLift, ← Category.assoc]
simp_rw [(𝒰.pullbackCover s.fst).ι_glueMorphisms]
simp [p2, pullback.condition]
|
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Simon Hudon, Mario Carneiro
-/
import Aesop
import Mathlib.Algebra.Group.Defs
import Mathlib.Data.Nat.Defs
import Mathlib.Data.Int.Defs
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.Cases
import Mathlib.Tactic.SimpRw
import Mathlib.Tactic.SplitIfs
#align_import algebra.group.basic from "leanprover-community/mathlib"@"a07d750983b94c530ab69a726862c2ab6802b38c"
/-!
# Basic lemmas about semigroups, monoids, and groups
This file lists various basic lemmas about semigroups, monoids, and groups. Most proofs are
one-liners from the corresponding axioms. For the definitions of semigroups, monoids and groups, see
`Algebra/Group/Defs.lean`.
-/
assert_not_exists MonoidWithZero
assert_not_exists DenselyOrdered
open Function
universe u
variable {α β G M : Type*}
section ite
variable [Pow α β]
@[to_additive (attr := simp) dite_smul]
lemma pow_dite (p : Prop) [Decidable p] (a : α) (b : p → β) (c : ¬ p → β) :
a ^ (if h : p then b h else c h) = if h : p then a ^ b h else a ^ c h := by split_ifs <;> rfl
@[to_additive (attr := simp) smul_dite]
lemma dite_pow (p : Prop) [Decidable p] (a : p → α) (b : ¬ p → α) (c : β) :
(if h : p then a h else b h) ^ c = if h : p then a h ^ c else b h ^ c := by split_ifs <;> rfl
@[to_additive (attr := simp) ite_smul]
lemma pow_ite (p : Prop) [Decidable p] (a : α) (b c : β) :
a ^ (if p then b else c) = if p then a ^ b else a ^ c := pow_dite _ _ _ _
@[to_additive (attr := simp) smul_ite]
lemma ite_pow (p : Prop) [Decidable p] (a b : α) (c : β) :
(if p then a else b) ^ c = if p then a ^ c else b ^ c := dite_pow _ _ _ _
set_option linter.existingAttributeWarning false in
attribute [to_additive (attr := simp)] dite_smul smul_dite ite_smul smul_ite
end ite
section IsLeftCancelMul
variable [Mul G] [IsLeftCancelMul G]
@[to_additive]
theorem mul_right_injective (a : G) : Injective (a * ·) := fun _ _ ↦ mul_left_cancel
#align mul_right_injective mul_right_injective
#align add_right_injective add_right_injective
@[to_additive (attr := simp)]
theorem mul_right_inj (a : G) {b c : G} : a * b = a * c ↔ b = c :=
(mul_right_injective a).eq_iff
#align mul_right_inj mul_right_inj
#align add_right_inj add_right_inj
@[to_additive]
theorem mul_ne_mul_right (a : G) {b c : G} : a * b ≠ a * c ↔ b ≠ c :=
(mul_right_injective a).ne_iff
#align mul_ne_mul_right mul_ne_mul_right
#align add_ne_add_right add_ne_add_right
end IsLeftCancelMul
section IsRightCancelMul
variable [Mul G] [IsRightCancelMul G]
@[to_additive]
theorem mul_left_injective (a : G) : Function.Injective (· * a) := fun _ _ ↦ mul_right_cancel
#align mul_left_injective mul_left_injective
#align add_left_injective add_left_injective
@[to_additive (attr := simp)]
theorem mul_left_inj (a : G) {b c : G} : b * a = c * a ↔ b = c :=
(mul_left_injective a).eq_iff
#align mul_left_inj mul_left_inj
#align add_left_inj add_left_inj
@[to_additive]
theorem mul_ne_mul_left (a : G) {b c : G} : b * a ≠ c * a ↔ b ≠ c :=
(mul_left_injective a).ne_iff
#align mul_ne_mul_left mul_ne_mul_left
#align add_ne_add_left add_ne_add_left
end IsRightCancelMul
section Semigroup
variable [Semigroup α]
@[to_additive]
instance Semigroup.to_isAssociative : Std.Associative (α := α) (· * ·) := ⟨mul_assoc⟩
#align semigroup.to_is_associative Semigroup.to_isAssociative
#align add_semigroup.to_is_associative AddSemigroup.to_isAssociative
/-- Composing two multiplications on the left by `y` then `x`
is equal to a multiplication on the left by `x * y`.
-/
@[to_additive (attr := simp) "Composing two additions on the left by `y` then `x`
is equal to an addition on the left by `x + y`."]
theorem comp_mul_left (x y : α) : (x * ·) ∘ (y * ·) = (x * y * ·) := by
ext z
simp [mul_assoc]
#align comp_mul_left comp_mul_left
#align comp_add_left comp_add_left
/-- Composing two multiplications on the right by `y` and `x`
is equal to a multiplication on the right by `y * x`.
-/
@[to_additive (attr := simp) "Composing two additions on the right by `y` and `x`
is equal to an addition on the right by `y + x`."]
theorem comp_mul_right (x y : α) : (· * x) ∘ (· * y) = (· * (y * x)) := by
ext z
simp [mul_assoc]
#align comp_mul_right comp_mul_right
#align comp_add_right comp_add_right
end Semigroup
@[to_additive]
instance CommMagma.to_isCommutative [CommMagma G] : Std.Commutative (α := G) (· * ·) := ⟨mul_comm⟩
#align comm_semigroup.to_is_commutative CommMagma.to_isCommutative
#align add_comm_semigroup.to_is_commutative AddCommMagma.to_isCommutative
section MulOneClass
variable {M : Type u} [MulOneClass M]
@[to_additive]
theorem ite_mul_one {P : Prop} [Decidable P] {a b : M} :
ite P (a * b) 1 = ite P a 1 * ite P b 1 := by
by_cases h:P <;> simp [h]
#align ite_mul_one ite_mul_one
#align ite_add_zero ite_add_zero
@[to_additive]
theorem ite_one_mul {P : Prop} [Decidable P] {a b : M} :
ite P 1 (a * b) = ite P 1 a * ite P 1 b := by
by_cases h:P <;> simp [h]
#align ite_one_mul ite_one_mul
#align ite_zero_add ite_zero_add
@[to_additive]
theorem eq_one_iff_eq_one_of_mul_eq_one {a b : M} (h : a * b = 1) : a = 1 ↔ b = 1 := by
constructor <;> (rintro rfl; simpa using h)
#align eq_one_iff_eq_one_of_mul_eq_one eq_one_iff_eq_one_of_mul_eq_one
#align eq_zero_iff_eq_zero_of_add_eq_zero eq_zero_iff_eq_zero_of_add_eq_zero
@[to_additive]
theorem one_mul_eq_id : ((1 : M) * ·) = id :=
funext one_mul
#align one_mul_eq_id one_mul_eq_id
#align zero_add_eq_id zero_add_eq_id
@[to_additive]
theorem mul_one_eq_id : (· * (1 : M)) = id :=
funext mul_one
#align mul_one_eq_id mul_one_eq_id
#align add_zero_eq_id add_zero_eq_id
end MulOneClass
section CommSemigroup
variable [CommSemigroup G]
@[to_additive]
theorem mul_left_comm : ∀ a b c : G, a * (b * c) = b * (a * c) :=
left_comm Mul.mul mul_comm mul_assoc
#align mul_left_comm mul_left_comm
#align add_left_comm add_left_comm
@[to_additive]
theorem mul_right_comm : ∀ a b c : G, a * b * c = a * c * b :=
right_comm Mul.mul mul_comm mul_assoc
#align mul_right_comm mul_right_comm
#align add_right_comm add_right_comm
@[to_additive]
theorem mul_mul_mul_comm (a b c d : G) : a * b * (c * d) = a * c * (b * d) := by
simp only [mul_left_comm, mul_assoc]
#align mul_mul_mul_comm mul_mul_mul_comm
#align add_add_add_comm add_add_add_comm
@[to_additive]
theorem mul_rotate (a b c : G) : a * b * c = b * c * a := by
simp only [mul_left_comm, mul_comm]
#align mul_rotate mul_rotate
#align add_rotate add_rotate
@[to_additive]
theorem mul_rotate' (a b c : G) : a * (b * c) = b * (c * a) := by
simp only [mul_left_comm, mul_comm]
#align mul_rotate' mul_rotate'
#align add_rotate' add_rotate'
end CommSemigroup
section AddCommSemigroup
set_option linter.deprecated false
variable {M : Type u} [AddCommSemigroup M]
theorem bit0_add (a b : M) : bit0 (a + b) = bit0 a + bit0 b :=
add_add_add_comm _ _ _ _
#align bit0_add bit0_add
theorem bit1_add [One M] (a b : M) : bit1 (a + b) = bit0 a + bit1 b :=
(congr_arg (· + (1 : M)) <| bit0_add a b : _).trans (add_assoc _ _ _)
#align bit1_add bit1_add
theorem bit1_add' [One M] (a b : M) : bit1 (a + b) = bit1 a + bit0 b := by
rw [add_comm, bit1_add, add_comm]
#align bit1_add' bit1_add'
end AddCommSemigroup
section AddMonoid
set_option linter.deprecated false
variable {M : Type u} [AddMonoid M] {a b c : M}
@[simp]
theorem bit0_zero : bit0 (0 : M) = 0 :=
add_zero _
#align bit0_zero bit0_zero
@[simp]
theorem bit1_zero [One M] : bit1 (0 : M) = 1 := by rw [bit1, bit0_zero, zero_add]
#align bit1_zero bit1_zero
end AddMonoid
attribute [local simp] mul_assoc sub_eq_add_neg
section Monoid
variable [Monoid M] {a b c : M} {m n : ℕ}
@[to_additive boole_nsmul]
lemma pow_boole (P : Prop) [Decidable P] (a : M) :
(a ^ if P then 1 else 0) = if P then a else 1 := by simp only [pow_ite, pow_one, pow_zero]
#align pow_boole pow_boole
@[to_additive nsmul_add_sub_nsmul]
lemma pow_mul_pow_sub (a : M) (h : m ≤ n) : a ^ m * a ^ (n - m) = a ^ n := by
rw [← pow_add, Nat.add_comm, Nat.sub_add_cancel h]
#align pow_mul_pow_sub pow_mul_pow_sub
#align nsmul_add_sub_nsmul nsmul_add_sub_nsmul
@[to_additive sub_nsmul_nsmul_add]
lemma pow_sub_mul_pow (a : M) (h : m ≤ n) : a ^ (n - m) * a ^ m = a ^ n := by
rw [← pow_add, Nat.sub_add_cancel h]
#align pow_sub_mul_pow pow_sub_mul_pow
#align sub_nsmul_nsmul_add sub_nsmul_nsmul_add
@[to_additive sub_one_nsmul_add]
lemma mul_pow_sub_one (hn : n ≠ 0) (a : M) : a * a ^ (n - 1) = a ^ n := by
rw [← pow_succ', Nat.sub_add_cancel $ Nat.one_le_iff_ne_zero.2 hn]
@[to_additive add_sub_one_nsmul]
lemma pow_sub_one_mul (hn : n ≠ 0) (a : M) : a ^ (n - 1) * a = a ^ n := by
rw [← pow_succ, Nat.sub_add_cancel $ Nat.one_le_iff_ne_zero.2 hn]
/-- If `x ^ n = 1`, then `x ^ m` is the same as `x ^ (m % n)` -/
@[to_additive nsmul_eq_mod_nsmul "If `n • x = 0`, then `m • x` is the same as `(m % n) • x`"]
lemma pow_eq_pow_mod (m : ℕ) (ha : a ^ n = 1) : a ^ m = a ^ (m % n) := by
calc
a ^ m = a ^ (m % n + n * (m / n)) := by rw [Nat.mod_add_div]
_ = a ^ (m % n) := by simp [pow_add, pow_mul, ha]
#align pow_eq_pow_mod pow_eq_pow_mod
#align nsmul_eq_mod_nsmul nsmul_eq_mod_nsmul
@[to_additive] lemma pow_mul_pow_eq_one : ∀ n, a * b = 1 → a ^ n * b ^ n = 1
| 0, _ => by simp
| n + 1, h =>
calc
a ^ n.succ * b ^ n.succ = a ^ n * a * (b * b ^ n) := by rw [pow_succ, pow_succ']
_ = a ^ n * (a * b) * b ^ n := by simp only [mul_assoc]
_ = 1 := by simp [h, pow_mul_pow_eq_one]
#align pow_mul_pow_eq_one pow_mul_pow_eq_one
#align nsmul_add_nsmul_eq_zero nsmul_add_nsmul_eq_zero
end Monoid
section CommMonoid
variable [CommMonoid M] {x y z : M}
@[to_additive]
theorem inv_unique (hy : x * y = 1) (hz : x * z = 1) : y = z :=
left_inv_eq_right_inv (Trans.trans (mul_comm _ _) hy) hz
#align inv_unique inv_unique
#align neg_unique neg_unique
@[to_additive nsmul_add] lemma mul_pow (a b : M) : ∀ n, (a * b) ^ n = a ^ n * b ^ n
| 0 => by rw [pow_zero, pow_zero, pow_zero, one_mul]
| n + 1 => by rw [pow_succ', pow_succ', pow_succ', mul_pow, mul_mul_mul_comm]
#align mul_pow mul_pow
#align nsmul_add nsmul_add
end CommMonoid
section LeftCancelMonoid
variable {M : Type u} [LeftCancelMonoid M] {a b : M}
@[to_additive (attr := simp)]
theorem mul_right_eq_self : a * b = a ↔ b = 1 := calc
a * b = a ↔ a * b = a * 1 := by rw [mul_one]
_ ↔ b = 1 := mul_left_cancel_iff
#align mul_right_eq_self mul_right_eq_self
#align add_right_eq_self add_right_eq_self
@[to_additive (attr := simp)]
theorem self_eq_mul_right : a = a * b ↔ b = 1 :=
eq_comm.trans mul_right_eq_self
#align self_eq_mul_right self_eq_mul_right
#align self_eq_add_right self_eq_add_right
@[to_additive]
theorem mul_right_ne_self : a * b ≠ a ↔ b ≠ 1 := mul_right_eq_self.not
#align mul_right_ne_self mul_right_ne_self
#align add_right_ne_self add_right_ne_self
@[to_additive]
theorem self_ne_mul_right : a ≠ a * b ↔ b ≠ 1 := self_eq_mul_right.not
#align self_ne_mul_right self_ne_mul_right
#align self_ne_add_right self_ne_add_right
end LeftCancelMonoid
section RightCancelMonoid
variable {M : Type u} [RightCancelMonoid M] {a b : M}
@[to_additive (attr := simp)]
theorem mul_left_eq_self : a * b = b ↔ a = 1 := calc
a * b = b ↔ a * b = 1 * b := by rw [one_mul]
_ ↔ a = 1 := mul_right_cancel_iff
#align mul_left_eq_self mul_left_eq_self
#align add_left_eq_self add_left_eq_self
@[to_additive (attr := simp)]
theorem self_eq_mul_left : b = a * b ↔ a = 1 :=
eq_comm.trans mul_left_eq_self
#align self_eq_mul_left self_eq_mul_left
#align self_eq_add_left self_eq_add_left
@[to_additive]
theorem mul_left_ne_self : a * b ≠ b ↔ a ≠ 1 := mul_left_eq_self.not
#align mul_left_ne_self mul_left_ne_self
#align add_left_ne_self add_left_ne_self
@[to_additive]
theorem self_ne_mul_left : b ≠ a * b ↔ a ≠ 1 := self_eq_mul_left.not
#align self_ne_mul_left self_ne_mul_left
#align self_ne_add_left self_ne_add_left
end RightCancelMonoid
section CancelCommMonoid
variable [CancelCommMonoid α] {a b c d : α}
@[to_additive] lemma eq_iff_eq_of_mul_eq_mul (h : a * b = c * d) : a = c ↔ b = d := by aesop
@[to_additive] lemma ne_iff_ne_of_mul_eq_mul (h : a * b = c * d) : a ≠ c ↔ b ≠ d := by aesop
end CancelCommMonoid
section InvolutiveInv
variable [InvolutiveInv G] {a b : G}
@[to_additive (attr := simp)]
theorem inv_involutive : Function.Involutive (Inv.inv : G → G) :=
inv_inv
#align inv_involutive inv_involutive
#align neg_involutive neg_involutive
@[to_additive (attr := simp)]
theorem inv_surjective : Function.Surjective (Inv.inv : G → G) :=
inv_involutive.surjective
#align inv_surjective inv_surjective
#align neg_surjective neg_surjective
@[to_additive]
theorem inv_injective : Function.Injective (Inv.inv : G → G) :=
inv_involutive.injective
#align inv_injective inv_injective
#align neg_injective neg_injective
@[to_additive (attr := simp)]
theorem inv_inj : a⁻¹ = b⁻¹ ↔ a = b :=
inv_injective.eq_iff
#align inv_inj inv_inj
#align neg_inj neg_inj
@[to_additive]
theorem inv_eq_iff_eq_inv : a⁻¹ = b ↔ a = b⁻¹ :=
⟨fun h => h ▸ (inv_inv a).symm, fun h => h.symm ▸ inv_inv b⟩
#align inv_eq_iff_eq_inv inv_eq_iff_eq_inv
#align neg_eq_iff_eq_neg neg_eq_iff_eq_neg
variable (G)
@[to_additive]
theorem inv_comp_inv : Inv.inv ∘ Inv.inv = @id G :=
inv_involutive.comp_self
#align inv_comp_inv inv_comp_inv
#align neg_comp_neg neg_comp_neg
@[to_additive]
theorem leftInverse_inv : LeftInverse (fun a : G ↦ a⁻¹) fun a ↦ a⁻¹ :=
inv_inv
#align left_inverse_inv leftInverse_inv
#align left_inverse_neg leftInverse_neg
@[to_additive]
theorem rightInverse_inv : RightInverse (fun a : G ↦ a⁻¹) fun a ↦ a⁻¹ :=
inv_inv
#align right_inverse_inv rightInverse_inv
#align right_inverse_neg rightInverse_neg
end InvolutiveInv
section DivInvMonoid
variable [DivInvMonoid G] {a b c : G}
@[to_additive, field_simps] -- The attributes are out of order on purpose
theorem inv_eq_one_div (x : G) : x⁻¹ = 1 / x := by rw [div_eq_mul_inv, one_mul]
#align inv_eq_one_div inv_eq_one_div
#align neg_eq_zero_sub neg_eq_zero_sub
@[to_additive]
theorem mul_one_div (x y : G) : x * (1 / y) = x / y := by
rw [div_eq_mul_inv, one_mul, div_eq_mul_inv]
#align mul_one_div mul_one_div
#align add_zero_sub add_zero_sub
@[to_additive]
theorem mul_div_assoc (a b c : G) : a * b / c = a * (b / c) := by
rw [div_eq_mul_inv, div_eq_mul_inv, mul_assoc _ _ _]
#align mul_div_assoc mul_div_assoc
#align add_sub_assoc add_sub_assoc
@[to_additive, field_simps] -- The attributes are out of order on purpose
theorem mul_div_assoc' (a b c : G) : a * (b / c) = a * b / c :=
(mul_div_assoc _ _ _).symm
#align mul_div_assoc' mul_div_assoc'
#align add_sub_assoc' add_sub_assoc'
@[to_additive (attr := simp)]
theorem one_div (a : G) : 1 / a = a⁻¹ :=
(inv_eq_one_div a).symm
#align one_div one_div
#align zero_sub zero_sub
@[to_additive]
theorem mul_div (a b c : G) : a * (b / c) = a * b / c := by simp only [mul_assoc, div_eq_mul_inv]
#align mul_div mul_div
#align add_sub add_sub
@[to_additive]
theorem div_eq_mul_one_div (a b : G) : a / b = a * (1 / b) := by rw [div_eq_mul_inv, one_div]
#align div_eq_mul_one_div div_eq_mul_one_div
#align sub_eq_add_zero_sub sub_eq_add_zero_sub
end DivInvMonoid
section DivInvOneMonoid
variable [DivInvOneMonoid G]
@[to_additive (attr := simp)]
theorem div_one (a : G) : a / 1 = a := by simp [div_eq_mul_inv]
#align div_one div_one
#align sub_zero sub_zero
@[to_additive]
theorem one_div_one : (1 : G) / 1 = 1 :=
div_one _
#align one_div_one one_div_one
#align zero_sub_zero zero_sub_zero
end DivInvOneMonoid
section DivisionMonoid
variable [DivisionMonoid α] {a b c d : α}
attribute [local simp] mul_assoc div_eq_mul_inv
@[to_additive]
theorem eq_inv_of_mul_eq_one_right (h : a * b = 1) : b = a⁻¹ :=
(inv_eq_of_mul_eq_one_right h).symm
#align eq_inv_of_mul_eq_one_right eq_inv_of_mul_eq_one_right
#align eq_neg_of_add_eq_zero_right eq_neg_of_add_eq_zero_right
@[to_additive]
theorem eq_one_div_of_mul_eq_one_left (h : b * a = 1) : b = 1 / a := by
rw [eq_inv_of_mul_eq_one_left h, one_div]
#align eq_one_div_of_mul_eq_one_left eq_one_div_of_mul_eq_one_left
#align eq_zero_sub_of_add_eq_zero_left eq_zero_sub_of_add_eq_zero_left
@[to_additive]
theorem eq_one_div_of_mul_eq_one_right (h : a * b = 1) : b = 1 / a := by
rw [eq_inv_of_mul_eq_one_right h, one_div]
#align eq_one_div_of_mul_eq_one_right eq_one_div_of_mul_eq_one_right
#align eq_zero_sub_of_add_eq_zero_right eq_zero_sub_of_add_eq_zero_right
@[to_additive]
theorem eq_of_div_eq_one (h : a / b = 1) : a = b :=
inv_injective <| inv_eq_of_mul_eq_one_right <| by rwa [← div_eq_mul_inv]
#align eq_of_div_eq_one eq_of_div_eq_one
#align eq_of_sub_eq_zero eq_of_sub_eq_zero
lemma eq_of_inv_mul_eq_one (h : a⁻¹ * b = 1) : a = b := by simpa using eq_inv_of_mul_eq_one_left h
lemma eq_of_mul_inv_eq_one (h : a * b⁻¹ = 1) : a = b := by simpa using eq_inv_of_mul_eq_one_left h
@[to_additive]
theorem div_ne_one_of_ne : a ≠ b → a / b ≠ 1 :=
mt eq_of_div_eq_one
#align div_ne_one_of_ne div_ne_one_of_ne
#align sub_ne_zero_of_ne sub_ne_zero_of_ne
variable (a b c)
@[to_additive]
theorem one_div_mul_one_div_rev : 1 / a * (1 / b) = 1 / (b * a) := by simp
#align one_div_mul_one_div_rev one_div_mul_one_div_rev
#align zero_sub_add_zero_sub_rev zero_sub_add_zero_sub_rev
@[to_additive]
theorem inv_div_left : a⁻¹ / b = (b * a)⁻¹ := by simp
#align inv_div_left inv_div_left
#align neg_sub_left neg_sub_left
@[to_additive (attr := simp)]
theorem inv_div : (a / b)⁻¹ = b / a := by simp
#align inv_div inv_div
#align neg_sub neg_sub
@[to_additive]
theorem one_div_div : 1 / (a / b) = b / a := by simp
#align one_div_div one_div_div
#align zero_sub_sub zero_sub_sub
@[to_additive]
theorem one_div_one_div : 1 / (1 / a) = a := by simp
#align one_div_one_div one_div_one_div
#align zero_sub_zero_sub zero_sub_zero_sub
@[to_additive]
theorem div_eq_div_iff_comm : a / b = c / d ↔ b / a = d / c :=
inv_inj.symm.trans <| by simp only [inv_div]
@[to_additive SubtractionMonoid.toSubNegZeroMonoid]
instance (priority := 100) DivisionMonoid.toDivInvOneMonoid : DivInvOneMonoid α :=
{ DivisionMonoid.toDivInvMonoid with
inv_one := by simpa only [one_div, inv_inv] using (inv_div (1 : α) 1).symm }
@[to_additive (attr := simp)]
lemma inv_pow (a : α) : ∀ n : ℕ, a⁻¹ ^ n = (a ^ n)⁻¹
| 0 => by rw [pow_zero, pow_zero, inv_one]
| n + 1 => by rw [pow_succ', pow_succ, inv_pow _ n, mul_inv_rev]
#align inv_pow inv_pow
#align neg_nsmul neg_nsmul
-- the attributes are intentionally out of order. `smul_zero` proves `zsmul_zero`.
@[to_additive zsmul_zero, simp]
lemma one_zpow : ∀ n : ℤ, (1 : α) ^ n = 1
| (n : ℕ) => by rw [zpow_natCast, one_pow]
| .negSucc n => by rw [zpow_negSucc, one_pow, inv_one]
#align one_zpow one_zpow
#align zsmul_zero zsmul_zero
@[to_additive (attr := simp) neg_zsmul]
lemma zpow_neg (a : α) : ∀ n : ℤ, a ^ (-n) = (a ^ n)⁻¹
| (n + 1 : ℕ) => DivInvMonoid.zpow_neg' _ _
| 0 => by
change a ^ (0 : ℤ) = (a ^ (0 : ℤ))⁻¹
simp
| Int.negSucc n => by
rw [zpow_negSucc, inv_inv, ← zpow_natCast]
rfl
#align zpow_neg zpow_neg
#align neg_zsmul neg_zsmul
@[to_additive neg_one_zsmul_add]
lemma mul_zpow_neg_one (a b : α) : (a * b) ^ (-1 : ℤ) = b ^ (-1 : ℤ) * a ^ (-1 : ℤ) := by
simp only [zpow_neg, zpow_one, mul_inv_rev]
#align mul_zpow_neg_one mul_zpow_neg_one
#align neg_one_zsmul_add neg_one_zsmul_add
@[to_additive zsmul_neg]
lemma inv_zpow (a : α) : ∀ n : ℤ, a⁻¹ ^ n = (a ^ n)⁻¹
| (n : ℕ) => by rw [zpow_natCast, zpow_natCast, inv_pow]
| .negSucc n => by rw [zpow_negSucc, zpow_negSucc, inv_pow]
#align inv_zpow inv_zpow
#align zsmul_neg zsmul_neg
@[to_additive (attr := simp) zsmul_neg']
lemma inv_zpow' (a : α) (n : ℤ) : a⁻¹ ^ n = a ^ (-n) := by rw [inv_zpow, zpow_neg]
#align inv_zpow' inv_zpow'
#align zsmul_neg' zsmul_neg'
@[to_additive nsmul_zero_sub]
lemma one_div_pow (a : α) (n : ℕ) : (1 / a) ^ n = 1 / a ^ n := by simp only [one_div, inv_pow]
#align one_div_pow one_div_pow
#align nsmul_zero_sub nsmul_zero_sub
@[to_additive zsmul_zero_sub]
lemma one_div_zpow (a : α) (n : ℤ) : (1 / a) ^ n = 1 / a ^ n := by simp only [one_div, inv_zpow]
#align one_div_zpow one_div_zpow
#align zsmul_zero_sub zsmul_zero_sub
variable {a b c}
@[to_additive (attr := simp)]
theorem inv_eq_one : a⁻¹ = 1 ↔ a = 1 :=
inv_injective.eq_iff' inv_one
#align inv_eq_one inv_eq_one
#align neg_eq_zero neg_eq_zero
@[to_additive (attr := simp)]
theorem one_eq_inv : 1 = a⁻¹ ↔ a = 1 :=
eq_comm.trans inv_eq_one
#align one_eq_inv one_eq_inv
#align zero_eq_neg zero_eq_neg
@[to_additive]
theorem inv_ne_one : a⁻¹ ≠ 1 ↔ a ≠ 1 :=
inv_eq_one.not
#align inv_ne_one inv_ne_one
#align neg_ne_zero neg_ne_zero
@[to_additive]
theorem eq_of_one_div_eq_one_div (h : 1 / a = 1 / b) : a = b := by
rw [← one_div_one_div a, h, one_div_one_div]
#align eq_of_one_div_eq_one_div eq_of_one_div_eq_one_div
#align eq_of_zero_sub_eq_zero_sub eq_of_zero_sub_eq_zero_sub
-- Note that `mul_zsmul` and `zpow_mul` have the primes swapped
-- when additivised since their argument order,
-- and therefore the more "natural" choice of lemma, is reversed.
@[to_additive mul_zsmul'] lemma zpow_mul (a : α) : ∀ m n : ℤ, a ^ (m * n) = (a ^ m) ^ n
| (m : ℕ), (n : ℕ) => by
rw [zpow_natCast, zpow_natCast, ← pow_mul, ← zpow_natCast]
rfl
| (m : ℕ), .negSucc n => by
rw [zpow_natCast, zpow_negSucc, ← pow_mul, Int.ofNat_mul_negSucc, zpow_neg, inv_inj,
← zpow_natCast]
| .negSucc m, (n : ℕ) => by
rw [zpow_natCast, zpow_negSucc, ← inv_pow, ← pow_mul, Int.negSucc_mul_ofNat, zpow_neg, inv_pow,
inv_inj, ← zpow_natCast]
| .negSucc m, .negSucc n => by
rw [zpow_negSucc, zpow_negSucc, Int.negSucc_mul_negSucc, inv_pow, inv_inv, ← pow_mul, ←
zpow_natCast]
rfl
#align zpow_mul zpow_mul
#align mul_zsmul' mul_zsmul'
@[to_additive mul_zsmul]
lemma zpow_mul' (a : α) (m n : ℤ) : a ^ (m * n) = (a ^ n) ^ m := by rw [Int.mul_comm, zpow_mul]
#align zpow_mul' zpow_mul'
#align mul_zsmul mul_zsmul
#noalign zpow_bit0
#noalign bit0_zsmul
#noalign zpow_bit0'
#noalign bit0_zsmul'
#noalign zpow_bit1
#noalign bit1_zsmul
variable (a b c)
@[to_additive, field_simps] -- The attributes are out of order on purpose
theorem div_div_eq_mul_div : a / (b / c) = a * c / b := by simp
#align div_div_eq_mul_div div_div_eq_mul_div
#align sub_sub_eq_add_sub sub_sub_eq_add_sub
@[to_additive (attr := simp)]
theorem div_inv_eq_mul : a / b⁻¹ = a * b := by simp
#align div_inv_eq_mul div_inv_eq_mul
#align sub_neg_eq_add sub_neg_eq_add
@[to_additive]
theorem div_mul_eq_div_div_swap : a / (b * c) = a / c / b := by
simp only [mul_assoc, mul_inv_rev, div_eq_mul_inv]
#align div_mul_eq_div_div_swap div_mul_eq_div_div_swap
#align sub_add_eq_sub_sub_swap sub_add_eq_sub_sub_swap
end DivisionMonoid
section SubtractionMonoid
set_option linter.deprecated false
lemma bit0_neg [SubtractionMonoid α] (a : α) : bit0 (-a) = -bit0 a := (neg_add_rev _ _).symm
#align bit0_neg bit0_neg
end SubtractionMonoid
section DivisionCommMonoid
variable [DivisionCommMonoid α] (a b c d : α)
attribute [local simp] mul_assoc mul_comm mul_left_comm div_eq_mul_inv
@[to_additive neg_add]
theorem mul_inv : (a * b)⁻¹ = a⁻¹ * b⁻¹ := by simp
#align mul_inv mul_inv
#align neg_add neg_add
@[to_additive]
theorem inv_div' : (a / b)⁻¹ = a⁻¹ / b⁻¹ := by simp
#align inv_div' inv_div'
#align neg_sub' neg_sub'
@[to_additive]
theorem div_eq_inv_mul : a / b = b⁻¹ * a := by simp
#align div_eq_inv_mul div_eq_inv_mul
#align sub_eq_neg_add sub_eq_neg_add
@[to_additive]
| Mathlib/Algebra/Group/Basic.lean | 741 | 741 | theorem inv_mul_eq_div : a⁻¹ * b = b / a := by | simp
|
/-
Copyright (c) 2020 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Yaël Dillies
-/
import Mathlib.Data.Nat.Defs
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Tactic.Monotonicity.Attr
#align_import data.nat.log from "leanprover-community/mathlib"@"3e00d81bdcbf77c8188bbd18f5524ddc3ed8cac6"
/-!
# Natural number logarithms
This file defines two `ℕ`-valued analogs of the logarithm of `n` with base `b`:
* `log b n`: Lower logarithm, or floor **log**. Greatest `k` such that `b^k ≤ n`.
* `clog b n`: Upper logarithm, or **c**eil **log**. Least `k` such that `n ≤ b^k`.
These are interesting because, for `1 < b`, `Nat.log b` and `Nat.clog b` are respectively right and
left adjoints of `Nat.pow b`. See `pow_le_iff_le_log` and `le_pow_iff_clog_le`.
-/
namespace Nat
/-! ### Floor logarithm -/
/-- `log b n`, is the logarithm of natural number `n` in base `b`. It returns the largest `k : ℕ`
such that `b^k ≤ n`, so if `b^k = n`, it returns exactly `k`. -/
--@[pp_nodot] porting note: unknown attribute
def log (b : ℕ) : ℕ → ℕ
| n => if h : b ≤ n ∧ 1 < b then log b (n / b) + 1 else 0
decreasing_by
-- putting this in the def triggers the `unusedHavesSuffices` linter:
-- https://github.com/leanprover-community/batteries/issues/428
have : n / b < n := div_lt_self ((Nat.zero_lt_one.trans h.2).trans_le h.1) h.2
decreasing_trivial
#align nat.log Nat.log
@[simp]
| Mathlib/Data/Nat/Log.lean | 42 | 44 | theorem log_eq_zero_iff {b n : ℕ} : log b n = 0 ↔ n < b ∨ b ≤ 1 := by |
rw [log, dite_eq_right_iff]
simp only [Nat.add_eq_zero_iff, Nat.one_ne_zero, and_false, imp_false, not_and_or, not_le, not_lt]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Data.Set.Function
import Mathlib.Logic.Relation
import Mathlib.Logic.Pairwise
#align_import data.set.pairwise.basic from "leanprover-community/mathlib"@"c4c2ed622f43768eff32608d4a0f8a6cec1c047d"
/-!
# Relations holding pairwise
This file develops pairwise relations and defines pairwise disjoint indexed sets.
We also prove many basic facts about `Pairwise`. It is possible that an intermediate file,
with more imports than `Logic.Pairwise` but not importing `Data.Set.Function` would be appropriate
to hold many of these basic facts.
## Main declarations
* `Set.PairwiseDisjoint`: `s.PairwiseDisjoint f` states that images under `f` of distinct elements
of `s` are either equal or `Disjoint`.
## Notes
The spelling `s.PairwiseDisjoint id` is preferred over `s.Pairwise Disjoint` to permit dot notation
on `Set.PairwiseDisjoint`, even though the latter unfolds to something nicer.
-/
open Function Order Set
variable {α β γ ι ι' : Type*} {r p q : α → α → Prop}
section Pairwise
variable {f g : ι → α} {s t u : Set α} {a b : α}
theorem pairwise_on_bool (hr : Symmetric r) {a b : α} :
Pairwise (r on fun c => cond c a b) ↔ r a b := by simpa [Pairwise, Function.onFun] using @hr a b
#align pairwise_on_bool pairwise_on_bool
theorem pairwise_disjoint_on_bool [SemilatticeInf α] [OrderBot α] {a b : α} :
Pairwise (Disjoint on fun c => cond c a b) ↔ Disjoint a b :=
pairwise_on_bool Disjoint.symm
#align pairwise_disjoint_on_bool pairwise_disjoint_on_bool
theorem Symmetric.pairwise_on [LinearOrder ι] (hr : Symmetric r) (f : ι → α) :
Pairwise (r on f) ↔ ∀ ⦃m n⦄, m < n → r (f m) (f n) :=
⟨fun h _m _n hmn => h hmn.ne, fun h _m _n hmn => hmn.lt_or_lt.elim (@h _ _) fun h' => hr (h h')⟩
#align symmetric.pairwise_on Symmetric.pairwise_on
theorem pairwise_disjoint_on [SemilatticeInf α] [OrderBot α] [LinearOrder ι] (f : ι → α) :
Pairwise (Disjoint on f) ↔ ∀ ⦃m n⦄, m < n → Disjoint (f m) (f n) :=
Symmetric.pairwise_on Disjoint.symm f
#align pairwise_disjoint_on pairwise_disjoint_on
theorem pairwise_disjoint_mono [SemilatticeInf α] [OrderBot α] (hs : Pairwise (Disjoint on f))
(h : g ≤ f) : Pairwise (Disjoint on g) :=
hs.mono fun i j hij => Disjoint.mono (h i) (h j) hij
#align pairwise_disjoint.mono pairwise_disjoint_mono
namespace Set
theorem Pairwise.mono (h : t ⊆ s) (hs : s.Pairwise r) : t.Pairwise r :=
fun _x xt _y yt => hs (h xt) (h yt)
#align set.pairwise.mono Set.Pairwise.mono
theorem Pairwise.mono' (H : r ≤ p) (hr : s.Pairwise r) : s.Pairwise p :=
hr.imp H
#align set.pairwise.mono' Set.Pairwise.mono'
theorem pairwise_top (s : Set α) : s.Pairwise ⊤ :=
pairwise_of_forall s _ fun _ _ => trivial
#align set.pairwise_top Set.pairwise_top
protected theorem Subsingleton.pairwise (h : s.Subsingleton) (r : α → α → Prop) : s.Pairwise r :=
fun _x hx _y hy hne => (hne (h hx hy)).elim
#align set.subsingleton.pairwise Set.Subsingleton.pairwise
@[simp]
theorem pairwise_empty (r : α → α → Prop) : (∅ : Set α).Pairwise r :=
subsingleton_empty.pairwise r
#align set.pairwise_empty Set.pairwise_empty
@[simp]
theorem pairwise_singleton (a : α) (r : α → α → Prop) : Set.Pairwise {a} r :=
subsingleton_singleton.pairwise r
#align set.pairwise_singleton Set.pairwise_singleton
theorem pairwise_iff_of_refl [IsRefl α r] : s.Pairwise r ↔ ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ s → r a b :=
forall₄_congr fun _ _ _ _ => or_iff_not_imp_left.symm.trans <| or_iff_right_of_imp of_eq
#align set.pairwise_iff_of_refl Set.pairwise_iff_of_refl
alias ⟨Pairwise.of_refl, _⟩ := pairwise_iff_of_refl
#align set.pairwise.of_refl Set.Pairwise.of_refl
theorem Nonempty.pairwise_iff_exists_forall [IsEquiv α r] {s : Set ι} (hs : s.Nonempty) :
s.Pairwise (r on f) ↔ ∃ z, ∀ x ∈ s, r (f x) z := by
constructor
· rcases hs with ⟨y, hy⟩
refine fun H => ⟨f y, fun x hx => ?_⟩
rcases eq_or_ne x y with (rfl | hne)
· apply IsRefl.refl
· exact H hx hy hne
· rintro ⟨z, hz⟩ x hx y hy _
exact @IsTrans.trans α r _ (f x) z (f y) (hz _ hx) (IsSymm.symm _ _ <| hz _ hy)
#align set.nonempty.pairwise_iff_exists_forall Set.Nonempty.pairwise_iff_exists_forall
/-- For a nonempty set `s`, a function `f` takes pairwise equal values on `s` if and only if
for some `z` in the codomain, `f` takes value `z` on all `x ∈ s`. See also
`Set.pairwise_eq_iff_exists_eq` for a version that assumes `[Nonempty ι]` instead of
`Set.Nonempty s`. -/
theorem Nonempty.pairwise_eq_iff_exists_eq {s : Set α} (hs : s.Nonempty) {f : α → ι} :
(s.Pairwise fun x y => f x = f y) ↔ ∃ z, ∀ x ∈ s, f x = z :=
hs.pairwise_iff_exists_forall
#align set.nonempty.pairwise_eq_iff_exists_eq Set.Nonempty.pairwise_eq_iff_exists_eq
theorem pairwise_iff_exists_forall [Nonempty ι] (s : Set α) (f : α → ι) {r : ι → ι → Prop}
[IsEquiv ι r] : s.Pairwise (r on f) ↔ ∃ z, ∀ x ∈ s, r (f x) z := by
rcases s.eq_empty_or_nonempty with (rfl | hne)
· simp
· exact hne.pairwise_iff_exists_forall
#align set.pairwise_iff_exists_forall Set.pairwise_iff_exists_forall
/-- A function `f : α → ι` with nonempty codomain takes pairwise equal values on a set `s` if and
only if for some `z` in the codomain, `f` takes value `z` on all `x ∈ s`. See also
`Set.Nonempty.pairwise_eq_iff_exists_eq` for a version that assumes `Set.Nonempty s` instead of
`[Nonempty ι]`. -/
theorem pairwise_eq_iff_exists_eq [Nonempty ι] (s : Set α) (f : α → ι) :
(s.Pairwise fun x y => f x = f y) ↔ ∃ z, ∀ x ∈ s, f x = z :=
pairwise_iff_exists_forall s f
#align set.pairwise_eq_iff_exists_eq Set.pairwise_eq_iff_exists_eq
theorem pairwise_union :
(s ∪ t).Pairwise r ↔
s.Pairwise r ∧ t.Pairwise r ∧ ∀ a ∈ s, ∀ b ∈ t, a ≠ b → r a b ∧ r b a := by
simp only [Set.Pairwise, mem_union, or_imp, forall_and]
exact
⟨fun H => ⟨H.1.1, H.2.2, H.1.2, fun x hx y hy hne => H.2.1 y hy x hx hne.symm⟩,
fun H => ⟨⟨H.1, H.2.2.1⟩, fun x hx y hy hne => H.2.2.2 y hy x hx hne.symm, H.2.1⟩⟩
#align set.pairwise_union Set.pairwise_union
theorem pairwise_union_of_symmetric (hr : Symmetric r) :
(s ∪ t).Pairwise r ↔ s.Pairwise r ∧ t.Pairwise r ∧ ∀ a ∈ s, ∀ b ∈ t, a ≠ b → r a b :=
pairwise_union.trans <| by simp only [hr.iff, and_self_iff]
#align set.pairwise_union_of_symmetric Set.pairwise_union_of_symmetric
theorem pairwise_insert :
(insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, a ≠ b → r a b ∧ r b a := by
simp only [insert_eq, pairwise_union, pairwise_singleton, true_and_iff, mem_singleton_iff,
forall_eq]
#align set.pairwise_insert Set.pairwise_insert
theorem pairwise_insert_of_not_mem (ha : a ∉ s) :
(insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, r a b ∧ r b a :=
pairwise_insert.trans <|
and_congr_right' <| forall₂_congr fun b hb => by simp [(ne_of_mem_of_not_mem hb ha).symm]
#align set.pairwise_insert_of_not_mem Set.pairwise_insert_of_not_mem
protected theorem Pairwise.insert (hs : s.Pairwise r) (h : ∀ b ∈ s, a ≠ b → r a b ∧ r b a) :
(insert a s).Pairwise r :=
pairwise_insert.2 ⟨hs, h⟩
#align set.pairwise.insert Set.Pairwise.insert
theorem Pairwise.insert_of_not_mem (ha : a ∉ s) (hs : s.Pairwise r) (h : ∀ b ∈ s, r a b ∧ r b a) :
(insert a s).Pairwise r :=
(pairwise_insert_of_not_mem ha).2 ⟨hs, h⟩
#align set.pairwise.insert_of_not_mem Set.Pairwise.insert_of_not_mem
theorem pairwise_insert_of_symmetric (hr : Symmetric r) :
(insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, a ≠ b → r a b := by
simp only [pairwise_insert, hr.iff a, and_self_iff]
#align set.pairwise_insert_of_symmetric Set.pairwise_insert_of_symmetric
theorem pairwise_insert_of_symmetric_of_not_mem (hr : Symmetric r) (ha : a ∉ s) :
(insert a s).Pairwise r ↔ s.Pairwise r ∧ ∀ b ∈ s, r a b := by
simp only [pairwise_insert_of_not_mem ha, hr.iff a, and_self_iff]
#align set.pairwise_insert_of_symmetric_of_not_mem Set.pairwise_insert_of_symmetric_of_not_mem
theorem Pairwise.insert_of_symmetric (hs : s.Pairwise r) (hr : Symmetric r)
(h : ∀ b ∈ s, a ≠ b → r a b) : (insert a s).Pairwise r :=
(pairwise_insert_of_symmetric hr).2 ⟨hs, h⟩
#align set.pairwise.insert_of_symmetric Set.Pairwise.insert_of_symmetric
theorem Pairwise.insert_of_symmetric_of_not_mem (hs : s.Pairwise r) (hr : Symmetric r) (ha : a ∉ s)
(h : ∀ b ∈ s, r a b) : (insert a s).Pairwise r :=
(pairwise_insert_of_symmetric_of_not_mem hr ha).2 ⟨hs, h⟩
#align set.pairwise.insert_of_symmetric_of_not_mem Set.Pairwise.insert_of_symmetric_of_not_mem
theorem pairwise_pair : Set.Pairwise {a, b} r ↔ a ≠ b → r a b ∧ r b a := by simp [pairwise_insert]
#align set.pairwise_pair Set.pairwise_pair
theorem pairwise_pair_of_symmetric (hr : Symmetric r) : Set.Pairwise {a, b} r ↔ a ≠ b → r a b := by
simp [pairwise_insert_of_symmetric hr]
#align set.pairwise_pair_of_symmetric Set.pairwise_pair_of_symmetric
theorem pairwise_univ : (univ : Set α).Pairwise r ↔ Pairwise r := by
simp only [Set.Pairwise, Pairwise, mem_univ, forall_const]
#align set.pairwise_univ Set.pairwise_univ
@[simp]
theorem pairwise_bot_iff : s.Pairwise (⊥ : α → α → Prop) ↔ (s : Set α).Subsingleton :=
⟨fun h _a ha _b hb => h.eq ha hb id, fun h => h.pairwise _⟩
#align set.pairwise_bot_iff Set.pairwise_bot_iff
alias ⟨Pairwise.subsingleton, _⟩ := pairwise_bot_iff
#align set.pairwise.subsingleton Set.Pairwise.subsingleton
/-- See also `Function.injective_iff_pairwise_ne` -/
lemma injOn_iff_pairwise_ne {s : Set ι} : InjOn f s ↔ s.Pairwise (f · ≠ f ·) := by
simp only [InjOn, Set.Pairwise, not_imp_not]
alias ⟨InjOn.pairwise_ne, _⟩ := injOn_iff_pairwise_ne
protected theorem Pairwise.image {s : Set ι} (h : s.Pairwise (r on f)) : (f '' s).Pairwise r :=
forall_mem_image.2 fun _x hx ↦ forall_mem_image.2 fun _y hy hne ↦ h hx hy <| ne_of_apply_ne _ hne
/-- See also `Set.Pairwise.image`. -/
theorem InjOn.pairwise_image {s : Set ι} (h : s.InjOn f) :
(f '' s).Pairwise r ↔ s.Pairwise (r on f) := by
simp (config := { contextual := true }) [h.eq_iff, Set.Pairwise]
#align set.inj_on.pairwise_image Set.InjOn.pairwise_image
lemma _root_.Pairwise.range_pairwise (hr : Pairwise (r on f)) : (Set.range f).Pairwise r :=
image_univ ▸ (pairwise_univ.mpr hr).image
end Set
end Pairwise
theorem pairwise_subtype_iff_pairwise_set (s : Set α) (r : α → α → Prop) :
(Pairwise fun (x : s) (y : s) => r x y) ↔ s.Pairwise r := by
simp only [Pairwise, Set.Pairwise, SetCoe.forall, Ne, Subtype.ext_iff, Subtype.coe_mk]
#align pairwise_subtype_iff_pairwise_set pairwise_subtype_iff_pairwise_set
alias ⟨Pairwise.set_of_subtype, Set.Pairwise.subtype⟩ := pairwise_subtype_iff_pairwise_set
#align pairwise.set_of_subtype Pairwise.set_of_subtype
#align set.pairwise.subtype Set.Pairwise.subtype
namespace Set
section PartialOrderBot
variable [PartialOrder α] [OrderBot α] {s t : Set ι} {f g : ι → α}
/-- A set is `PairwiseDisjoint` under `f`, if the images of any distinct two elements under `f`
are disjoint.
`s.Pairwise Disjoint` is (definitionally) the same as `s.PairwiseDisjoint id`. We prefer the latter
in order to allow dot notation on `Set.PairwiseDisjoint`, even though the former unfolds more
nicely. -/
def PairwiseDisjoint (s : Set ι) (f : ι → α) : Prop :=
s.Pairwise (Disjoint on f)
#align set.pairwise_disjoint Set.PairwiseDisjoint
theorem PairwiseDisjoint.subset (ht : t.PairwiseDisjoint f) (h : s ⊆ t) : s.PairwiseDisjoint f :=
Pairwise.mono h ht
#align set.pairwise_disjoint.subset Set.PairwiseDisjoint.subset
theorem PairwiseDisjoint.mono_on (hs : s.PairwiseDisjoint f) (h : ∀ ⦃i⦄, i ∈ s → g i ≤ f i) :
s.PairwiseDisjoint g := fun _a ha _b hb hab => (hs ha hb hab).mono (h ha) (h hb)
#align set.pairwise_disjoint.mono_on Set.PairwiseDisjoint.mono_on
theorem PairwiseDisjoint.mono (hs : s.PairwiseDisjoint f) (h : g ≤ f) : s.PairwiseDisjoint g :=
hs.mono_on fun i _ => h i
#align set.pairwise_disjoint.mono Set.PairwiseDisjoint.mono
@[simp]
theorem pairwiseDisjoint_empty : (∅ : Set ι).PairwiseDisjoint f :=
pairwise_empty _
#align set.pairwise_disjoint_empty Set.pairwiseDisjoint_empty
@[simp]
theorem pairwiseDisjoint_singleton (i : ι) (f : ι → α) : PairwiseDisjoint {i} f :=
pairwise_singleton i _
#align set.pairwise_disjoint_singleton Set.pairwiseDisjoint_singleton
theorem pairwiseDisjoint_insert {i : ι} :
(insert i s).PairwiseDisjoint f ↔
s.PairwiseDisjoint f ∧ ∀ j ∈ s, i ≠ j → Disjoint (f i) (f j) :=
pairwise_insert_of_symmetric <| symmetric_disjoint.comap f
#align set.pairwise_disjoint_insert Set.pairwiseDisjoint_insert
theorem pairwiseDisjoint_insert_of_not_mem {i : ι} (hi : i ∉ s) :
(insert i s).PairwiseDisjoint f ↔ s.PairwiseDisjoint f ∧ ∀ j ∈ s, Disjoint (f i) (f j) :=
pairwise_insert_of_symmetric_of_not_mem (symmetric_disjoint.comap f) hi
#align set.pairwise_disjoint_insert_of_not_mem Set.pairwiseDisjoint_insert_of_not_mem
protected theorem PairwiseDisjoint.insert (hs : s.PairwiseDisjoint f) {i : ι}
(h : ∀ j ∈ s, i ≠ j → Disjoint (f i) (f j)) : (insert i s).PairwiseDisjoint f :=
pairwiseDisjoint_insert.2 ⟨hs, h⟩
#align set.pairwise_disjoint.insert Set.PairwiseDisjoint.insert
theorem PairwiseDisjoint.insert_of_not_mem (hs : s.PairwiseDisjoint f) {i : ι} (hi : i ∉ s)
(h : ∀ j ∈ s, Disjoint (f i) (f j)) : (insert i s).PairwiseDisjoint f :=
(pairwiseDisjoint_insert_of_not_mem hi).2 ⟨hs, h⟩
#align set.pairwise_disjoint.insert_of_not_mem Set.PairwiseDisjoint.insert_of_not_mem
theorem PairwiseDisjoint.image_of_le (hs : s.PairwiseDisjoint f) {g : ι → ι} (hg : f ∘ g ≤ f) :
(g '' s).PairwiseDisjoint f := by
rintro _ ⟨a, ha, rfl⟩ _ ⟨b, hb, rfl⟩ h
exact (hs ha hb <| ne_of_apply_ne _ h).mono (hg a) (hg b)
#align set.pairwise_disjoint.image_of_le Set.PairwiseDisjoint.image_of_le
theorem InjOn.pairwiseDisjoint_image {g : ι' → ι} {s : Set ι'} (h : s.InjOn g) :
(g '' s).PairwiseDisjoint f ↔ s.PairwiseDisjoint (f ∘ g) :=
h.pairwise_image
#align set.inj_on.pairwise_disjoint_image Set.InjOn.pairwiseDisjoint_image
| Mathlib/Data/Set/Pairwise/Basic.lean | 313 | 316 | theorem PairwiseDisjoint.range (g : s → ι) (hg : ∀ i : s, f (g i) ≤ f i)
(ht : s.PairwiseDisjoint f) : (range g).PairwiseDisjoint f := by |
rintro _ ⟨x, rfl⟩ _ ⟨y, rfl⟩ hxy
exact ((ht x.2 y.2) fun h => hxy <| congr_arg g <| Subtype.ext h).mono (hg x) (hg y)
|
/-
Copyright (c) 2021 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker, Bhavik Mehta
-/
import Mathlib.Analysis.Calculus.Deriv.Support
import Mathlib.Analysis.SpecialFunctions.Pow.Deriv
import Mathlib.MeasureTheory.Integral.FundThmCalculus
import Mathlib.Order.Filter.AtTopBot
import Mathlib.MeasureTheory.Function.Jacobian
import Mathlib.MeasureTheory.Measure.Haar.NormedSpace
import Mathlib.MeasureTheory.Measure.Haar.Unique
#align_import measure_theory.integral.integral_eq_improper from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5"
/-!
# Links between an integral and its "improper" version
In its current state, mathlib only knows how to talk about definite ("proper") integrals,
in the sense that it treats integrals over `[x, +∞)` the same as it treats integrals over
`[y, z]`. For example, the integral over `[1, +∞)` is **not** defined to be the limit of
the integral over `[1, x]` as `x` tends to `+∞`, which is known as an **improper integral**.
Indeed, the "proper" definition is stronger than the "improper" one. The usual counterexample
is `x ↦ sin(x)/x`, which has an improper integral over `[1, +∞)` but no definite integral.
Although definite integrals have better properties, they are hardly usable when it comes to
computing integrals on unbounded sets, which is much easier using limits. Thus, in this file,
we prove various ways of studying the proper integral by studying the improper one.
## Definitions
The main definition of this file is `MeasureTheory.AECover`. It is a rather technical definition
whose sole purpose is generalizing and factoring proofs. Given an index type `ι`, a countably
generated filter `l` over `ι`, and an `ι`-indexed family `φ` of subsets of a measurable space `α`
equipped with a measure `μ`, one should think of a hypothesis `hφ : MeasureTheory.AECover μ l φ` as
a sufficient condition for being able to interpret `∫ x, f x ∂μ` (if it exists) as the limit of `∫ x
in φ i, f x ∂μ` as `i` tends to `l`.
When using this definition with a measure restricted to a set `s`, which happens fairly often, one
should not try too hard to use a `MeasureTheory.AECover` of subsets of `s`, as it often makes proofs
more complicated than necessary. See for example the proof of
`MeasureTheory.integrableOn_Iic_of_intervalIntegral_norm_tendsto` where we use `(fun x ↦ oi x)` as a
`MeasureTheory.AECover` w.r.t. `μ.restrict (Iic b)`, instead of using `(fun x ↦ Ioc x b)`.
## Main statements
- `MeasureTheory.AECover.lintegral_tendsto_of_countably_generated` : if `φ` is a
`MeasureTheory.AECover μ l`, where `l` is a countably generated filter, and if `f` is a measurable
`ENNReal`-valued function, then `∫⁻ x in φ n, f x ∂μ` tends to `∫⁻ x, f x ∂μ` as `n` tends to `l`
- `MeasureTheory.AECover.integrable_of_integral_norm_tendsto` : if `φ` is a
`MeasureTheory.AECover μ l`, where `l` is a countably generated filter, if `f` is measurable and
integrable on each `φ n`, and if `∫ x in φ n, ‖f x‖ ∂μ` tends to some `I : ℝ` as n tends to `l`,
then `f` is integrable
- `MeasureTheory.AECover.integral_tendsto_of_countably_generated` : if `φ` is a
`MeasureTheory.AECover μ l`, where `l` is a countably generated filter, and if `f` is measurable
and integrable (globally), then `∫ x in φ n, f x ∂μ` tends to `∫ x, f x ∂μ` as `n` tends to `+∞`.
We then specialize these lemmas to various use cases involving intervals, which are frequent
in analysis. In particular,
- `MeasureTheory.integral_Ioi_of_hasDerivAt_of_tendsto` is a version of FTC-2 on the interval
`(a, +∞)`, giving the formula `∫ x in (a, +∞), g' x = l - g a` if `g'` is integrable and
`g` tends to `l` at `+∞`.
- `MeasureTheory.integral_Ioi_of_hasDerivAt_of_nonneg` gives the same result assuming that
`g'` is nonnegative instead of integrable. Its automatic integrability in this context is proved
in `MeasureTheory.integrableOn_Ioi_deriv_of_nonneg`.
- `MeasureTheory.integral_comp_smul_deriv_Ioi` is a version of the change of variables formula
on semi-infinite intervals.
- `MeasureTheory.tendsto_limUnder_of_hasDerivAt_of_integrableOn_Ioi` shows that a function whose
derivative is integrable on `(a, +∞)` has a limit at `+∞`.
- `MeasureTheory.tendsto_zero_of_hasDerivAt_of_integrableOn_Ioi` shows that an integrable function
whose derivative is integrable on `(a, +∞)` tends to `0` at `+∞`.
Versions of these results are also given on the intervals `(-∞, a]` and `(-∞, +∞)`, as well as
the corresponding versions of integration by parts.
-/
open MeasureTheory Filter Set TopologicalSpace
open scoped ENNReal NNReal Topology
namespace MeasureTheory
section AECover
variable {α ι : Type*} [MeasurableSpace α] (μ : Measure α) (l : Filter ι)
/-- A sequence `φ` of subsets of `α` is a `MeasureTheory.AECover` w.r.t. a measure `μ` and a filter
`l` if almost every point (w.r.t. `μ`) of `α` eventually belongs to `φ n` (w.r.t. `l`), and if
each `φ n` is measurable. This definition is a technical way to avoid duplicating a lot of
proofs. It should be thought of as a sufficient condition for being able to interpret
`∫ x, f x ∂μ` (if it exists) as the limit of `∫ x in φ n, f x ∂μ` as `n` tends to `l`.
See for example `MeasureTheory.AECover.lintegral_tendsto_of_countably_generated`,
`MeasureTheory.AECover.integrable_of_integral_norm_tendsto` and
`MeasureTheory.AECover.integral_tendsto_of_countably_generated`. -/
structure AECover (φ : ι → Set α) : Prop where
ae_eventually_mem : ∀ᵐ x ∂μ, ∀ᶠ i in l, x ∈ φ i
protected measurableSet : ∀ i, MeasurableSet <| φ i
#align measure_theory.ae_cover MeasureTheory.AECover
#align measure_theory.ae_cover.ae_eventually_mem MeasureTheory.AECover.ae_eventually_mem
#align measure_theory.ae_cover.measurable MeasureTheory.AECover.measurableSet
variable {μ} {l}
namespace AECover
/-!
## Operations on `AECover`s
Porting note: this is a new section.
-/
/-- Elementwise intersection of two `AECover`s is an `AECover`. -/
theorem inter {φ ψ : ι → Set α} (hφ : AECover μ l φ) (hψ : AECover μ l ψ) :
AECover μ l (fun i ↦ φ i ∩ ψ i) where
ae_eventually_mem := hψ.1.mp <| hφ.1.mono fun _ ↦ Eventually.and
measurableSet _ := (hφ.2 _).inter (hψ.2 _)
theorem superset {φ ψ : ι → Set α} (hφ : AECover μ l φ) (hsub : ∀ i, φ i ⊆ ψ i)
(hmeas : ∀ i, MeasurableSet (ψ i)) : AECover μ l ψ :=
⟨hφ.1.mono fun _x hx ↦ hx.mono fun i hi ↦ hsub i hi, hmeas⟩
theorem mono_ac {ν : Measure α} {φ : ι → Set α} (hφ : AECover μ l φ) (hle : ν ≪ μ) :
AECover ν l φ := ⟨hle hφ.1, hφ.2⟩
theorem mono {ν : Measure α} {φ : ι → Set α} (hφ : AECover μ l φ) (hle : ν ≤ μ) :
AECover ν l φ := hφ.mono_ac hle.absolutelyContinuous
end AECover
section MetricSpace
variable [PseudoMetricSpace α] [OpensMeasurableSpace α]
theorem aecover_ball {x : α} {r : ι → ℝ} (hr : Tendsto r l atTop) :
AECover μ l (fun i ↦ Metric.ball x (r i)) where
measurableSet _ := Metric.isOpen_ball.measurableSet
ae_eventually_mem := by
filter_upwards with y
filter_upwards [hr (Ioi_mem_atTop (dist x y))] with a ha using by simpa [dist_comm] using ha
theorem aecover_closedBall {x : α} {r : ι → ℝ} (hr : Tendsto r l atTop) :
AECover μ l (fun i ↦ Metric.closedBall x (r i)) where
measurableSet _ := Metric.isClosed_ball.measurableSet
ae_eventually_mem := by
filter_upwards with y
filter_upwards [hr (Ici_mem_atTop (dist x y))] with a ha using by simpa [dist_comm] using ha
end MetricSpace
section Preorderα
variable [Preorder α] [TopologicalSpace α] [OrderClosedTopology α] [OpensMeasurableSpace α]
{a b : ι → α} (ha : Tendsto a l atBot) (hb : Tendsto b l atTop)
theorem aecover_Ici : AECover μ l fun i => Ici (a i) where
ae_eventually_mem := ae_of_all μ ha.eventually_le_atBot
measurableSet _ := measurableSet_Ici
#align measure_theory.ae_cover_Ici MeasureTheory.aecover_Ici
theorem aecover_Iic : AECover μ l fun i => Iic <| b i := aecover_Ici (α := αᵒᵈ) hb
#align measure_theory.ae_cover_Iic MeasureTheory.aecover_Iic
theorem aecover_Icc : AECover μ l fun i => Icc (a i) (b i) :=
(aecover_Ici ha).inter (aecover_Iic hb)
#align measure_theory.ae_cover_Icc MeasureTheory.aecover_Icc
end Preorderα
section LinearOrderα
variable [LinearOrder α] [TopologicalSpace α] [OrderClosedTopology α] [OpensMeasurableSpace α]
{a b : ι → α} (ha : Tendsto a l atBot) (hb : Tendsto b l atTop)
theorem aecover_Ioi [NoMinOrder α] : AECover μ l fun i => Ioi (a i) where
ae_eventually_mem := ae_of_all μ ha.eventually_lt_atBot
measurableSet _ := measurableSet_Ioi
#align measure_theory.ae_cover_Ioi MeasureTheory.aecover_Ioi
theorem aecover_Iio [NoMaxOrder α] : AECover μ l fun i => Iio (b i) := aecover_Ioi (α := αᵒᵈ) hb
#align measure_theory.ae_cover_Iio MeasureTheory.aecover_Iio
theorem aecover_Ioo [NoMinOrder α] [NoMaxOrder α] : AECover μ l fun i => Ioo (a i) (b i) :=
(aecover_Ioi ha).inter (aecover_Iio hb)
#align measure_theory.ae_cover_Ioo MeasureTheory.aecover_Ioo
theorem aecover_Ioc [NoMinOrder α] : AECover μ l fun i => Ioc (a i) (b i) :=
(aecover_Ioi ha).inter (aecover_Iic hb)
#align measure_theory.ae_cover_Ioc MeasureTheory.aecover_Ioc
theorem aecover_Ico [NoMaxOrder α] : AECover μ l fun i => Ico (a i) (b i) :=
(aecover_Ici ha).inter (aecover_Iio hb)
#align measure_theory.ae_cover_Ico MeasureTheory.aecover_Ico
end LinearOrderα
section FiniteIntervals
variable [LinearOrder α] [TopologicalSpace α] [OrderClosedTopology α] [OpensMeasurableSpace α]
{a b : ι → α} {A B : α} (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B))
-- Porting note (#10756): new lemma
theorem aecover_Ioi_of_Ioi : AECover (μ.restrict (Ioi A)) l fun i ↦ Ioi (a i) where
ae_eventually_mem := (ae_restrict_mem measurableSet_Ioi).mono fun _x hx ↦ ha.eventually <|
eventually_lt_nhds hx
measurableSet _ := measurableSet_Ioi
-- Porting note (#10756): new lemma
theorem aecover_Iio_of_Iio : AECover (μ.restrict (Iio B)) l fun i ↦ Iio (b i) :=
aecover_Ioi_of_Ioi (α := αᵒᵈ) hb
-- Porting note (#10756): new lemma
theorem aecover_Ioi_of_Ici : AECover (μ.restrict (Ioi A)) l fun i ↦ Ici (a i) :=
(aecover_Ioi_of_Ioi ha).superset (fun _ ↦ Ioi_subset_Ici_self) fun _ ↦ measurableSet_Ici
-- Porting note (#10756): new lemma
theorem aecover_Iio_of_Iic : AECover (μ.restrict (Iio B)) l fun i ↦ Iic (b i) :=
aecover_Ioi_of_Ici (α := αᵒᵈ) hb
theorem aecover_Ioo_of_Ioo : AECover (μ.restrict <| Ioo A B) l fun i => Ioo (a i) (b i) :=
((aecover_Ioi_of_Ioi ha).mono <| Measure.restrict_mono Ioo_subset_Ioi_self le_rfl).inter
((aecover_Iio_of_Iio hb).mono <| Measure.restrict_mono Ioo_subset_Iio_self le_rfl)
#align measure_theory.ae_cover_Ioo_of_Ioo MeasureTheory.aecover_Ioo_of_Ioo
theorem aecover_Ioo_of_Icc : AECover (μ.restrict <| Ioo A B) l fun i => Icc (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).superset (fun _ ↦ Ioo_subset_Icc_self) fun _ ↦ measurableSet_Icc
#align measure_theory.ae_cover_Ioo_of_Icc MeasureTheory.aecover_Ioo_of_Icc
theorem aecover_Ioo_of_Ico : AECover (μ.restrict <| Ioo A B) l fun i => Ico (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).superset (fun _ ↦ Ioo_subset_Ico_self) fun _ ↦ measurableSet_Ico
#align measure_theory.ae_cover_Ioo_of_Ico MeasureTheory.aecover_Ioo_of_Ico
theorem aecover_Ioo_of_Ioc : AECover (μ.restrict <| Ioo A B) l fun i => Ioc (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).superset (fun _ ↦ Ioo_subset_Ioc_self) fun _ ↦ measurableSet_Ioc
#align measure_theory.ae_cover_Ioo_of_Ioc MeasureTheory.aecover_Ioo_of_Ioc
variable [NoAtoms μ]
theorem aecover_Ioc_of_Icc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ioc A B) l fun i => Icc (a i) (b i) :=
(aecover_Ioo_of_Icc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ioc).ge
#align measure_theory.ae_cover_Ioc_of_Icc MeasureTheory.aecover_Ioc_of_Icc
theorem aecover_Ioc_of_Ico (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ioc A B) l fun i => Ico (a i) (b i) :=
(aecover_Ioo_of_Ico ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ioc).ge
#align measure_theory.ae_cover_Ioc_of_Ico MeasureTheory.aecover_Ioc_of_Ico
theorem aecover_Ioc_of_Ioc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ioc A B) l fun i => Ioc (a i) (b i) :=
(aecover_Ioo_of_Ioc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ioc).ge
#align measure_theory.ae_cover_Ioc_of_Ioc MeasureTheory.aecover_Ioc_of_Ioc
theorem aecover_Ioc_of_Ioo (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ioc A B) l fun i => Ioo (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ioc).ge
#align measure_theory.ae_cover_Ioc_of_Ioo MeasureTheory.aecover_Ioc_of_Ioo
theorem aecover_Ico_of_Icc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ico A B) l fun i => Icc (a i) (b i) :=
(aecover_Ioo_of_Icc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ico).ge
#align measure_theory.ae_cover_Ico_of_Icc MeasureTheory.aecover_Ico_of_Icc
theorem aecover_Ico_of_Ico (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ico A B) l fun i => Ico (a i) (b i) :=
(aecover_Ioo_of_Ico ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ico).ge
#align measure_theory.ae_cover_Ico_of_Ico MeasureTheory.aecover_Ico_of_Ico
theorem aecover_Ico_of_Ioc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ico A B) l fun i => Ioc (a i) (b i) :=
(aecover_Ioo_of_Ioc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ico).ge
#align measure_theory.ae_cover_Ico_of_Ioc MeasureTheory.aecover_Ico_of_Ioc
theorem aecover_Ico_of_Ioo (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Ico A B) l fun i => Ioo (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Ico).ge
#align measure_theory.ae_cover_Ico_of_Ioo MeasureTheory.aecover_Ico_of_Ioo
theorem aecover_Icc_of_Icc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Icc A B) l fun i => Icc (a i) (b i) :=
(aecover_Ioo_of_Icc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Icc).ge
#align measure_theory.ae_cover_Icc_of_Icc MeasureTheory.aecover_Icc_of_Icc
theorem aecover_Icc_of_Ico (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Icc A B) l fun i => Ico (a i) (b i) :=
(aecover_Ioo_of_Ico ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Icc).ge
#align measure_theory.ae_cover_Icc_of_Ico MeasureTheory.aecover_Icc_of_Ico
theorem aecover_Icc_of_Ioc (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Icc A B) l fun i => Ioc (a i) (b i) :=
(aecover_Ioo_of_Ioc ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Icc).ge
#align measure_theory.ae_cover_Icc_of_Ioc MeasureTheory.aecover_Icc_of_Ioc
theorem aecover_Icc_of_Ioo (ha : Tendsto a l (𝓝 A)) (hb : Tendsto b l (𝓝 B)) :
AECover (μ.restrict <| Icc A B) l fun i => Ioo (a i) (b i) :=
(aecover_Ioo_of_Ioo ha hb).mono (Measure.restrict_congr_set Ioo_ae_eq_Icc).ge
#align measure_theory.ae_cover_Icc_of_Ioo MeasureTheory.aecover_Icc_of_Ioo
end FiniteIntervals
protected theorem AECover.restrict {φ : ι → Set α} (hφ : AECover μ l φ) {s : Set α} :
AECover (μ.restrict s) l φ :=
hφ.mono Measure.restrict_le_self
#align measure_theory.ae_cover.restrict MeasureTheory.AECover.restrict
theorem aecover_restrict_of_ae_imp {s : Set α} {φ : ι → Set α} (hs : MeasurableSet s)
(ae_eventually_mem : ∀ᵐ x ∂μ, x ∈ s → ∀ᶠ n in l, x ∈ φ n)
(measurable : ∀ n, MeasurableSet <| φ n) : AECover (μ.restrict s) l φ where
ae_eventually_mem := by rwa [ae_restrict_iff' hs]
measurableSet := measurable
#align measure_theory.ae_cover_restrict_of_ae_imp MeasureTheory.aecover_restrict_of_ae_imp
theorem AECover.inter_restrict {φ : ι → Set α} (hφ : AECover μ l φ) {s : Set α}
(hs : MeasurableSet s) : AECover (μ.restrict s) l fun i => φ i ∩ s :=
aecover_restrict_of_ae_imp hs
(hφ.ae_eventually_mem.mono fun _x hx hxs => hx.mono fun _i hi => ⟨hi, hxs⟩) fun i =>
(hφ.measurableSet i).inter hs
#align measure_theory.ae_cover.inter_restrict MeasureTheory.AECover.inter_restrict
theorem AECover.ae_tendsto_indicator {β : Type*} [Zero β] [TopologicalSpace β] (f : α → β)
{φ : ι → Set α} (hφ : AECover μ l φ) :
∀ᵐ x ∂μ, Tendsto (fun i => (φ i).indicator f x) l (𝓝 <| f x) :=
hφ.ae_eventually_mem.mono fun _x hx =>
tendsto_const_nhds.congr' <| hx.mono fun _n hn => (indicator_of_mem hn _).symm
#align measure_theory.ae_cover.ae_tendsto_indicator MeasureTheory.AECover.ae_tendsto_indicator
theorem AECover.aemeasurable {β : Type*} [MeasurableSpace β] [l.IsCountablyGenerated] [l.NeBot]
{f : α → β} {φ : ι → Set α} (hφ : AECover μ l φ)
(hfm : ∀ i, AEMeasurable f (μ.restrict <| φ i)) : AEMeasurable f μ := by
obtain ⟨u, hu⟩ := l.exists_seq_tendsto
have := aemeasurable_iUnion_iff.mpr fun n : ℕ => hfm (u n)
rwa [Measure.restrict_eq_self_of_ae_mem] at this
filter_upwards [hφ.ae_eventually_mem] with x hx using
mem_iUnion.mpr (hu.eventually hx).exists
#align measure_theory.ae_cover.ae_measurable MeasureTheory.AECover.aemeasurable
theorem AECover.aestronglyMeasurable {β : Type*} [TopologicalSpace β] [PseudoMetrizableSpace β]
[l.IsCountablyGenerated] [l.NeBot] {f : α → β} {φ : ι → Set α} (hφ : AECover μ l φ)
(hfm : ∀ i, AEStronglyMeasurable f (μ.restrict <| φ i)) : AEStronglyMeasurable f μ := by
obtain ⟨u, hu⟩ := l.exists_seq_tendsto
have := aestronglyMeasurable_iUnion_iff.mpr fun n : ℕ => hfm (u n)
rwa [Measure.restrict_eq_self_of_ae_mem] at this
filter_upwards [hφ.ae_eventually_mem] with x hx using mem_iUnion.mpr (hu.eventually hx).exists
#align measure_theory.ae_cover.ae_strongly_measurable MeasureTheory.AECover.aestronglyMeasurable
end AECover
theorem AECover.comp_tendsto {α ι ι' : Type*} [MeasurableSpace α] {μ : Measure α} {l : Filter ι}
{l' : Filter ι'} {φ : ι → Set α} (hφ : AECover μ l φ) {u : ι' → ι} (hu : Tendsto u l' l) :
AECover μ l' (φ ∘ u) where
ae_eventually_mem := hφ.ae_eventually_mem.mono fun _x hx => hu.eventually hx
measurableSet i := hφ.measurableSet (u i)
#align measure_theory.ae_cover.comp_tendsto MeasureTheory.AECover.comp_tendsto
section AECoverUnionInterCountable
variable {α ι : Type*} [Countable ι] [MeasurableSpace α] {μ : Measure α}
theorem AECover.biUnion_Iic_aecover [Preorder ι] {φ : ι → Set α} (hφ : AECover μ atTop φ) :
AECover μ atTop fun n : ι => ⋃ (k) (_h : k ∈ Iic n), φ k :=
hφ.superset (fun _ ↦ subset_biUnion_of_mem right_mem_Iic) fun _ ↦ .biUnion (to_countable _)
fun _ _ ↦ (hφ.2 _)
#align measure_theory.ae_cover.bUnion_Iic_ae_cover MeasureTheory.AECover.biUnion_Iic_aecover
-- Porting note: generalized from `[SemilatticeSup ι] [Nonempty ι]` to `[Preorder ι]`
theorem AECover.biInter_Ici_aecover [Preorder ι] {φ : ι → Set α}
(hφ : AECover μ atTop φ) : AECover μ atTop fun n : ι => ⋂ (k) (_h : k ∈ Ici n), φ k where
ae_eventually_mem := hφ.ae_eventually_mem.mono fun x h ↦ by
simpa only [mem_iInter, mem_Ici, eventually_forall_ge_atTop]
measurableSet i := .biInter (to_countable _) fun n _ => hφ.measurableSet n
#align measure_theory.ae_cover.bInter_Ici_ae_cover MeasureTheory.AECover.biInter_Ici_aecover
end AECoverUnionInterCountable
section Lintegral
variable {α ι : Type*} [MeasurableSpace α] {μ : Measure α} {l : Filter ι}
private theorem lintegral_tendsto_of_monotone_of_nat {φ : ℕ → Set α} (hφ : AECover μ atTop φ)
(hmono : Monotone φ) {f : α → ℝ≥0∞} (hfm : AEMeasurable f μ) :
Tendsto (fun i => ∫⁻ x in φ i, f x ∂μ) atTop (𝓝 <| ∫⁻ x, f x ∂μ) :=
let F n := (φ n).indicator f
have key₁ : ∀ n, AEMeasurable (F n) μ := fun n => hfm.indicator (hφ.measurableSet n)
have key₂ : ∀ᵐ x : α ∂μ, Monotone fun n => F n x := ae_of_all _ fun x _i _j hij =>
indicator_le_indicator_of_subset (hmono hij) (fun x => zero_le <| f x) x
have key₃ : ∀ᵐ x : α ∂μ, Tendsto (fun n => F n x) atTop (𝓝 (f x)) := hφ.ae_tendsto_indicator f
(lintegral_tendsto_of_tendsto_of_monotone key₁ key₂ key₃).congr fun n =>
lintegral_indicator f (hφ.measurableSet n)
theorem AECover.lintegral_tendsto_of_nat {φ : ℕ → Set α} (hφ : AECover μ atTop φ) {f : α → ℝ≥0∞}
(hfm : AEMeasurable f μ) : Tendsto (∫⁻ x in φ ·, f x ∂μ) atTop (𝓝 <| ∫⁻ x, f x ∂μ) := by
have lim₁ := lintegral_tendsto_of_monotone_of_nat hφ.biInter_Ici_aecover
(fun i j hij => biInter_subset_biInter_left (Ici_subset_Ici.mpr hij)) hfm
have lim₂ := lintegral_tendsto_of_monotone_of_nat hφ.biUnion_Iic_aecover
(fun i j hij => biUnion_subset_biUnion_left (Iic_subset_Iic.mpr hij)) hfm
refine tendsto_of_tendsto_of_tendsto_of_le_of_le lim₁ lim₂ (fun n ↦ ?_) fun n ↦ ?_
exacts [lintegral_mono_set (biInter_subset_of_mem left_mem_Ici),
lintegral_mono_set (subset_biUnion_of_mem right_mem_Iic)]
#align measure_theory.ae_cover.lintegral_tendsto_of_nat MeasureTheory.AECover.lintegral_tendsto_of_nat
theorem AECover.lintegral_tendsto_of_countably_generated [l.IsCountablyGenerated] {φ : ι → Set α}
(hφ : AECover μ l φ) {f : α → ℝ≥0∞} (hfm : AEMeasurable f μ) :
Tendsto (fun i => ∫⁻ x in φ i, f x ∂μ) l (𝓝 <| ∫⁻ x, f x ∂μ) :=
tendsto_of_seq_tendsto fun _u hu => (hφ.comp_tendsto hu).lintegral_tendsto_of_nat hfm
#align measure_theory.ae_cover.lintegral_tendsto_of_countably_generated MeasureTheory.AECover.lintegral_tendsto_of_countably_generated
theorem AECover.lintegral_eq_of_tendsto [l.NeBot] [l.IsCountablyGenerated] {φ : ι → Set α}
(hφ : AECover μ l φ) {f : α → ℝ≥0∞} (I : ℝ≥0∞) (hfm : AEMeasurable f μ)
(htendsto : Tendsto (fun i => ∫⁻ x in φ i, f x ∂μ) l (𝓝 I)) : ∫⁻ x, f x ∂μ = I :=
tendsto_nhds_unique (hφ.lintegral_tendsto_of_countably_generated hfm) htendsto
#align measure_theory.ae_cover.lintegral_eq_of_tendsto MeasureTheory.AECover.lintegral_eq_of_tendsto
theorem AECover.iSup_lintegral_eq_of_countably_generated [Nonempty ι] [l.NeBot]
[l.IsCountablyGenerated] {φ : ι → Set α} (hφ : AECover μ l φ) {f : α → ℝ≥0∞}
(hfm : AEMeasurable f μ) : ⨆ i : ι, ∫⁻ x in φ i, f x ∂μ = ∫⁻ x, f x ∂μ := by
have := hφ.lintegral_tendsto_of_countably_generated hfm
refine ciSup_eq_of_forall_le_of_forall_lt_exists_gt
(fun i => lintegral_mono' Measure.restrict_le_self le_rfl) fun w hw => ?_
rcases exists_between hw with ⟨m, hm₁, hm₂⟩
rcases (eventually_ge_of_tendsto_gt hm₂ this).exists with ⟨i, hi⟩
exact ⟨i, lt_of_lt_of_le hm₁ hi⟩
#align measure_theory.ae_cover.supr_lintegral_eq_of_countably_generated MeasureTheory.AECover.iSup_lintegral_eq_of_countably_generated
end Lintegral
section Integrable
variable {α ι E : Type*} [MeasurableSpace α] {μ : Measure α} {l : Filter ι} [NormedAddCommGroup E]
theorem AECover.integrable_of_lintegral_nnnorm_bounded [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ) (hfm : AEStronglyMeasurable f μ)
(hbounded : ∀ᶠ i in l, (∫⁻ x in φ i, ‖f x‖₊ ∂μ) ≤ ENNReal.ofReal I) : Integrable f μ := by
refine ⟨hfm, (le_of_tendsto ?_ hbounded).trans_lt ENNReal.ofReal_lt_top⟩
exact hφ.lintegral_tendsto_of_countably_generated hfm.ennnorm
#align measure_theory.ae_cover.integrable_of_lintegral_nnnorm_bounded MeasureTheory.AECover.integrable_of_lintegral_nnnorm_bounded
theorem AECover.integrable_of_lintegral_nnnorm_tendsto [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ) (hfm : AEStronglyMeasurable f μ)
(htendsto : Tendsto (fun i => ∫⁻ x in φ i, ‖f x‖₊ ∂μ) l (𝓝 <| ENNReal.ofReal I)) :
Integrable f μ := by
refine hφ.integrable_of_lintegral_nnnorm_bounded (max 1 (I + 1)) hfm ?_
refine htendsto.eventually (ge_mem_nhds ?_)
refine (ENNReal.ofReal_lt_ofReal_iff (lt_max_of_lt_left zero_lt_one)).2 ?_
exact lt_max_of_lt_right (lt_add_one I)
#align measure_theory.ae_cover.integrable_of_lintegral_nnnorm_tendsto MeasureTheory.AECover.integrable_of_lintegral_nnnorm_tendsto
theorem AECover.integrable_of_lintegral_nnnorm_bounded' [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ≥0) (hfm : AEStronglyMeasurable f μ)
(hbounded : ∀ᶠ i in l, (∫⁻ x in φ i, ‖f x‖₊ ∂μ) ≤ I) : Integrable f μ :=
hφ.integrable_of_lintegral_nnnorm_bounded I hfm
(by simpa only [ENNReal.ofReal_coe_nnreal] using hbounded)
#align measure_theory.ae_cover.integrable_of_lintegral_nnnorm_bounded' MeasureTheory.AECover.integrable_of_lintegral_nnnorm_bounded'
theorem AECover.integrable_of_lintegral_nnnorm_tendsto' [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ≥0) (hfm : AEStronglyMeasurable f μ)
(htendsto : Tendsto (fun i => ∫⁻ x in φ i, ‖f x‖₊ ∂μ) l (𝓝 I)) : Integrable f μ :=
hφ.integrable_of_lintegral_nnnorm_tendsto I hfm
(by simpa only [ENNReal.ofReal_coe_nnreal] using htendsto)
#align measure_theory.ae_cover.integrable_of_lintegral_nnnorm_tendsto' MeasureTheory.AECover.integrable_of_lintegral_nnnorm_tendsto'
theorem AECover.integrable_of_integral_norm_bounded [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ) (hfi : ∀ i, IntegrableOn f (φ i) μ)
(hbounded : ∀ᶠ i in l, (∫ x in φ i, ‖f x‖ ∂μ) ≤ I) : Integrable f μ := by
have hfm : AEStronglyMeasurable f μ :=
hφ.aestronglyMeasurable fun i => (hfi i).aestronglyMeasurable
refine hφ.integrable_of_lintegral_nnnorm_bounded I hfm ?_
conv at hbounded in integral _ _ =>
rw [integral_eq_lintegral_of_nonneg_ae (ae_of_all _ fun x => @norm_nonneg E _ (f x))
hfm.norm.restrict]
conv at hbounded in ENNReal.ofReal _ =>
rw [← coe_nnnorm]
rw [ENNReal.ofReal_coe_nnreal]
refine hbounded.mono fun i hi => ?_
rw [← ENNReal.ofReal_toReal (ne_top_of_lt (hfi i).2)]
apply ENNReal.ofReal_le_ofReal hi
#align measure_theory.ae_cover.integrable_of_integral_norm_bounded MeasureTheory.AECover.integrable_of_integral_norm_bounded
theorem AECover.integrable_of_integral_norm_tendsto [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → E} (I : ℝ) (hfi : ∀ i, IntegrableOn f (φ i) μ)
(htendsto : Tendsto (fun i => ∫ x in φ i, ‖f x‖ ∂μ) l (𝓝 I)) : Integrable f μ :=
let ⟨I', hI'⟩ := htendsto.isBoundedUnder_le
hφ.integrable_of_integral_norm_bounded I' hfi hI'
#align measure_theory.ae_cover.integrable_of_integral_norm_tendsto MeasureTheory.AECover.integrable_of_integral_norm_tendsto
theorem AECover.integrable_of_integral_bounded_of_nonneg_ae [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → ℝ} (I : ℝ) (hfi : ∀ i, IntegrableOn f (φ i) μ)
(hnng : ∀ᵐ x ∂μ, 0 ≤ f x) (hbounded : ∀ᶠ i in l, (∫ x in φ i, f x ∂μ) ≤ I) : Integrable f μ :=
hφ.integrable_of_integral_norm_bounded I hfi <| hbounded.mono fun _i hi =>
(integral_congr_ae <| ae_restrict_of_ae <| hnng.mono fun _ => Real.norm_of_nonneg).le.trans hi
#align measure_theory.ae_cover.integrable_of_integral_bounded_of_nonneg_ae MeasureTheory.AECover.integrable_of_integral_bounded_of_nonneg_ae
theorem AECover.integrable_of_integral_tendsto_of_nonneg_ae [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → ℝ} (I : ℝ) (hfi : ∀ i, IntegrableOn f (φ i) μ)
(hnng : ∀ᵐ x ∂μ, 0 ≤ f x) (htendsto : Tendsto (fun i => ∫ x in φ i, f x ∂μ) l (𝓝 I)) :
Integrable f μ :=
let ⟨I', hI'⟩ := htendsto.isBoundedUnder_le
hφ.integrable_of_integral_bounded_of_nonneg_ae I' hfi hnng hI'
#align measure_theory.ae_cover.integrable_of_integral_tendsto_of_nonneg_ae MeasureTheory.AECover.integrable_of_integral_tendsto_of_nonneg_ae
end Integrable
section Integral
variable {α ι E : Type*} [MeasurableSpace α] {μ : Measure α} {l : Filter ι} [NormedAddCommGroup E]
[NormedSpace ℝ E] [CompleteSpace E]
theorem AECover.integral_tendsto_of_countably_generated [l.IsCountablyGenerated] {φ : ι → Set α}
(hφ : AECover μ l φ) {f : α → E} (hfi : Integrable f μ) :
Tendsto (fun i => ∫ x in φ i, f x ∂μ) l (𝓝 <| ∫ x, f x ∂μ) :=
suffices h : Tendsto (fun i => ∫ x : α, (φ i).indicator f x ∂μ) l (𝓝 (∫ x : α, f x ∂μ)) from by
convert h using 2; rw [integral_indicator (hφ.measurableSet _)]
tendsto_integral_filter_of_dominated_convergence (fun x => ‖f x‖)
(eventually_of_forall fun i => hfi.aestronglyMeasurable.indicator <| hφ.measurableSet i)
(eventually_of_forall fun i => ae_of_all _ fun x => norm_indicator_le_norm_self _ _) hfi.norm
(hφ.ae_tendsto_indicator f)
#align measure_theory.ae_cover.integral_tendsto_of_countably_generated MeasureTheory.AECover.integral_tendsto_of_countably_generated
/-- Slight reformulation of
`MeasureTheory.AECover.integral_tendsto_of_countably_generated`. -/
theorem AECover.integral_eq_of_tendsto [l.NeBot] [l.IsCountablyGenerated] {φ : ι → Set α}
(hφ : AECover μ l φ) {f : α → E} (I : E) (hfi : Integrable f μ)
(h : Tendsto (fun n => ∫ x in φ n, f x ∂μ) l (𝓝 I)) : ∫ x, f x ∂μ = I :=
tendsto_nhds_unique (hφ.integral_tendsto_of_countably_generated hfi) h
#align measure_theory.ae_cover.integral_eq_of_tendsto MeasureTheory.AECover.integral_eq_of_tendsto
theorem AECover.integral_eq_of_tendsto_of_nonneg_ae [l.NeBot] [l.IsCountablyGenerated]
{φ : ι → Set α} (hφ : AECover μ l φ) {f : α → ℝ} (I : ℝ) (hnng : 0 ≤ᵐ[μ] f)
(hfi : ∀ n, IntegrableOn f (φ n) μ) (htendsto : Tendsto (fun n => ∫ x in φ n, f x ∂μ) l (𝓝 I)) :
∫ x, f x ∂μ = I :=
have hfi' : Integrable f μ := hφ.integrable_of_integral_tendsto_of_nonneg_ae I hfi hnng htendsto
hφ.integral_eq_of_tendsto I hfi' htendsto
#align measure_theory.ae_cover.integral_eq_of_tendsto_of_nonneg_ae MeasureTheory.AECover.integral_eq_of_tendsto_of_nonneg_ae
end Integral
section IntegrableOfIntervalIntegral
variable {ι E : Type*} {μ : Measure ℝ} {l : Filter ι} [Filter.NeBot l] [IsCountablyGenerated l]
[NormedAddCommGroup E] {a b : ι → ℝ} {f : ℝ → E}
theorem integrable_of_intervalIntegral_norm_bounded (I : ℝ)
(hfi : ∀ i, IntegrableOn f (Ioc (a i) (b i)) μ) (ha : Tendsto a l atBot)
(hb : Tendsto b l atTop) (h : ∀ᶠ i in l, (∫ x in a i..b i, ‖f x‖ ∂μ) ≤ I) : Integrable f μ := by
have hφ : AECover μ l _ := aecover_Ioc ha hb
refine hφ.integrable_of_integral_norm_bounded I hfi (h.mp ?_)
filter_upwards [ha.eventually (eventually_le_atBot 0),
hb.eventually (eventually_ge_atTop 0)] with i hai hbi ht
rwa [← intervalIntegral.integral_of_le (hai.trans hbi)]
#align measure_theory.integrable_of_interval_integral_norm_bounded MeasureTheory.integrable_of_intervalIntegral_norm_bounded
/-- If `f` is integrable on intervals `Ioc (a i) (b i)`,
where `a i` tends to -∞ and `b i` tends to ∞, and
`∫ x in a i .. b i, ‖f x‖ ∂μ` converges to `I : ℝ` along a filter `l`,
then `f` is integrable on the interval (-∞, ∞) -/
theorem integrable_of_intervalIntegral_norm_tendsto (I : ℝ)
(hfi : ∀ i, IntegrableOn f (Ioc (a i) (b i)) μ) (ha : Tendsto a l atBot)
(hb : Tendsto b l atTop) (h : Tendsto (fun i => ∫ x in a i..b i, ‖f x‖ ∂μ) l (𝓝 I)) :
Integrable f μ :=
let ⟨I', hI'⟩ := h.isBoundedUnder_le
integrable_of_intervalIntegral_norm_bounded I' hfi ha hb hI'
#align measure_theory.integrable_of_interval_integral_norm_tendsto MeasureTheory.integrable_of_intervalIntegral_norm_tendsto
theorem integrableOn_Iic_of_intervalIntegral_norm_bounded (I b : ℝ)
(hfi : ∀ i, IntegrableOn f (Ioc (a i) b) μ) (ha : Tendsto a l atBot)
(h : ∀ᶠ i in l, (∫ x in a i..b, ‖f x‖ ∂μ) ≤ I) : IntegrableOn f (Iic b) μ := by
have hφ : AECover (μ.restrict <| Iic b) l _ := aecover_Ioi ha
have hfi : ∀ i, IntegrableOn f (Ioi (a i)) (μ.restrict <| Iic b) := by
intro i
rw [IntegrableOn, Measure.restrict_restrict (hφ.measurableSet i)]
exact hfi i
refine hφ.integrable_of_integral_norm_bounded I hfi (h.mp ?_)
filter_upwards [ha.eventually (eventually_le_atBot b)] with i hai
rw [intervalIntegral.integral_of_le hai, Measure.restrict_restrict (hφ.measurableSet i)]
exact id
#align measure_theory.integrable_on_Iic_of_interval_integral_norm_bounded MeasureTheory.integrableOn_Iic_of_intervalIntegral_norm_bounded
/-- If `f` is integrable on intervals `Ioc (a i) b`,
where `a i` tends to -∞, and
`∫ x in a i .. b, ‖f x‖ ∂μ` converges to `I : ℝ` along a filter `l`,
then `f` is integrable on the interval (-∞, b) -/
theorem integrableOn_Iic_of_intervalIntegral_norm_tendsto (I b : ℝ)
(hfi : ∀ i, IntegrableOn f (Ioc (a i) b) μ) (ha : Tendsto a l atBot)
(h : Tendsto (fun i => ∫ x in a i..b, ‖f x‖ ∂μ) l (𝓝 I)) : IntegrableOn f (Iic b) μ :=
let ⟨I', hI'⟩ := h.isBoundedUnder_le
integrableOn_Iic_of_intervalIntegral_norm_bounded I' b hfi ha hI'
#align measure_theory.integrable_on_Iic_of_interval_integral_norm_tendsto MeasureTheory.integrableOn_Iic_of_intervalIntegral_norm_tendsto
theorem integrableOn_Ioi_of_intervalIntegral_norm_bounded (I a : ℝ)
(hfi : ∀ i, IntegrableOn f (Ioc a (b i)) μ) (hb : Tendsto b l atTop)
(h : ∀ᶠ i in l, (∫ x in a..b i, ‖f x‖ ∂μ) ≤ I) : IntegrableOn f (Ioi a) μ := by
have hφ : AECover (μ.restrict <| Ioi a) l _ := aecover_Iic hb
have hfi : ∀ i, IntegrableOn f (Iic (b i)) (μ.restrict <| Ioi a) := by
intro i
rw [IntegrableOn, Measure.restrict_restrict (hφ.measurableSet i), inter_comm]
exact hfi i
refine hφ.integrable_of_integral_norm_bounded I hfi (h.mp ?_)
filter_upwards [hb.eventually (eventually_ge_atTop a)] with i hbi
rw [intervalIntegral.integral_of_le hbi, Measure.restrict_restrict (hφ.measurableSet i),
inter_comm]
exact id
#align measure_theory.integrable_on_Ioi_of_interval_integral_norm_bounded MeasureTheory.integrableOn_Ioi_of_intervalIntegral_norm_bounded
/-- If `f` is integrable on intervals `Ioc a (b i)`,
where `b i` tends to ∞, and
`∫ x in a .. b i, ‖f x‖ ∂μ` converges to `I : ℝ` along a filter `l`,
then `f` is integrable on the interval (a, ∞) -/
theorem integrableOn_Ioi_of_intervalIntegral_norm_tendsto (I a : ℝ)
(hfi : ∀ i, IntegrableOn f (Ioc a (b i)) μ) (hb : Tendsto b l atTop)
(h : Tendsto (fun i => ∫ x in a..b i, ‖f x‖ ∂μ) l (𝓝 <| I)) : IntegrableOn f (Ioi a) μ :=
let ⟨I', hI'⟩ := h.isBoundedUnder_le
integrableOn_Ioi_of_intervalIntegral_norm_bounded I' a hfi hb hI'
#align measure_theory.integrable_on_Ioi_of_interval_integral_norm_tendsto MeasureTheory.integrableOn_Ioi_of_intervalIntegral_norm_tendsto
theorem integrableOn_Ioc_of_intervalIntegral_norm_bounded {I a₀ b₀ : ℝ}
(hfi : ∀ i, IntegrableOn f <| Ioc (a i) (b i)) (ha : Tendsto a l <| 𝓝 a₀)
(hb : Tendsto b l <| 𝓝 b₀) (h : ∀ᶠ i in l, (∫ x in Ioc (a i) (b i), ‖f x‖) ≤ I) :
IntegrableOn f (Ioc a₀ b₀) := by
refine (aecover_Ioc_of_Ioc ha hb).integrable_of_integral_norm_bounded I
(fun i => (hfi i).restrict measurableSet_Ioc) (h.mono fun i hi ↦ ?_)
rw [Measure.restrict_restrict measurableSet_Ioc]
refine le_trans (setIntegral_mono_set (hfi i).norm ?_ ?_) hi <;> apply ae_of_all
· simp only [Pi.zero_apply, norm_nonneg, forall_const]
· intro c hc; exact hc.1
#align measure_theory.integrable_on_Ioc_of_interval_integral_norm_bounded MeasureTheory.integrableOn_Ioc_of_intervalIntegral_norm_bounded
theorem integrableOn_Ioc_of_intervalIntegral_norm_bounded_left {I a₀ b : ℝ}
(hfi : ∀ i, IntegrableOn f <| Ioc (a i) b) (ha : Tendsto a l <| 𝓝 a₀)
(h : ∀ᶠ i in l, (∫ x in Ioc (a i) b, ‖f x‖) ≤ I) : IntegrableOn f (Ioc a₀ b) :=
integrableOn_Ioc_of_intervalIntegral_norm_bounded hfi ha tendsto_const_nhds h
#align measure_theory.integrable_on_Ioc_of_interval_integral_norm_bounded_left MeasureTheory.integrableOn_Ioc_of_intervalIntegral_norm_bounded_left
theorem integrableOn_Ioc_of_intervalIntegral_norm_bounded_right {I a b₀ : ℝ}
(hfi : ∀ i, IntegrableOn f <| Ioc a (b i)) (hb : Tendsto b l <| 𝓝 b₀)
(h : ∀ᶠ i in l, (∫ x in Ioc a (b i), ‖f x‖) ≤ I) : IntegrableOn f (Ioc a b₀) :=
integrableOn_Ioc_of_intervalIntegral_norm_bounded hfi tendsto_const_nhds hb h
#align measure_theory.integrable_on_Ioc_of_interval_integral_norm_bounded_right MeasureTheory.integrableOn_Ioc_of_intervalIntegral_norm_bounded_right
@[deprecated (since := "2024-04-06")]
alias integrableOn_Ioc_of_interval_integral_norm_bounded :=
integrableOn_Ioc_of_intervalIntegral_norm_bounded
@[deprecated (since := "2024-04-06")]
alias integrableOn_Ioc_of_interval_integral_norm_bounded_left :=
integrableOn_Ioc_of_intervalIntegral_norm_bounded_left
@[deprecated (since := "2024-04-06")]
alias integrableOn_Ioc_of_interval_integral_norm_bounded_right :=
integrableOn_Ioc_of_intervalIntegral_norm_bounded_right
end IntegrableOfIntervalIntegral
section IntegralOfIntervalIntegral
variable {ι E : Type*} {μ : Measure ℝ} {l : Filter ι} [IsCountablyGenerated l]
[NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {a b : ι → ℝ} {f : ℝ → E}
theorem intervalIntegral_tendsto_integral (hfi : Integrable f μ) (ha : Tendsto a l atBot)
(hb : Tendsto b l atTop) : Tendsto (fun i => ∫ x in a i..b i, f x ∂μ) l (𝓝 <| ∫ x, f x ∂μ) := by
let φ i := Ioc (a i) (b i)
have hφ : AECover μ l φ := aecover_Ioc ha hb
refine (hφ.integral_tendsto_of_countably_generated hfi).congr' ?_
filter_upwards [ha.eventually (eventually_le_atBot 0),
hb.eventually (eventually_ge_atTop 0)] with i hai hbi
exact (intervalIntegral.integral_of_le (hai.trans hbi)).symm
#align measure_theory.interval_integral_tendsto_integral MeasureTheory.intervalIntegral_tendsto_integral
theorem intervalIntegral_tendsto_integral_Iic (b : ℝ) (hfi : IntegrableOn f (Iic b) μ)
(ha : Tendsto a l atBot) :
Tendsto (fun i => ∫ x in a i..b, f x ∂μ) l (𝓝 <| ∫ x in Iic b, f x ∂μ) := by
let φ i := Ioi (a i)
have hφ : AECover (μ.restrict <| Iic b) l φ := aecover_Ioi ha
refine (hφ.integral_tendsto_of_countably_generated hfi).congr' ?_
filter_upwards [ha.eventually (eventually_le_atBot <| b)] with i hai
rw [intervalIntegral.integral_of_le hai, Measure.restrict_restrict (hφ.measurableSet i)]
rfl
#align measure_theory.interval_integral_tendsto_integral_Iic MeasureTheory.intervalIntegral_tendsto_integral_Iic
theorem intervalIntegral_tendsto_integral_Ioi (a : ℝ) (hfi : IntegrableOn f (Ioi a) μ)
(hb : Tendsto b l atTop) :
Tendsto (fun i => ∫ x in a..b i, f x ∂μ) l (𝓝 <| ∫ x in Ioi a, f x ∂μ) := by
let φ i := Iic (b i)
have hφ : AECover (μ.restrict <| Ioi a) l φ := aecover_Iic hb
refine (hφ.integral_tendsto_of_countably_generated hfi).congr' ?_
filter_upwards [hb.eventually (eventually_ge_atTop <| a)] with i hbi
rw [intervalIntegral.integral_of_le hbi, Measure.restrict_restrict (hφ.measurableSet i),
inter_comm]
rfl
#align measure_theory.interval_integral_tendsto_integral_Ioi MeasureTheory.intervalIntegral_tendsto_integral_Ioi
end IntegralOfIntervalIntegral
open Real
open scoped Interval
section IoiFTC
variable {E : Type*} {f f' : ℝ → E} {g g' : ℝ → ℝ} {a b l : ℝ} {m : E} [NormedAddCommGroup E]
[NormedSpace ℝ E]
/-- If the derivative of a function defined on the real line is integrable close to `+∞`, then
the function has a limit at `+∞`. -/
theorem tendsto_limUnder_of_hasDerivAt_of_integrableOn_Ioi [CompleteSpace E]
(hderiv : ∀ x ∈ Ioi a, HasDerivAt f (f' x) x) (f'int : IntegrableOn f' (Ioi a)) :
Tendsto f atTop (𝓝 (limUnder atTop f)) := by
suffices ∃ a, Tendsto f atTop (𝓝 a) from tendsto_nhds_limUnder this
suffices CauchySeq f from cauchySeq_tendsto_of_complete this
apply Metric.cauchySeq_iff'.2 (fun ε εpos ↦ ?_)
have A : ∀ᶠ (n : ℕ) in atTop, ∫ (x : ℝ) in Ici ↑n, ‖f' x‖ < ε := by
have L : Tendsto (fun (n : ℕ) ↦ ∫ x in Ici (n : ℝ), ‖f' x‖) atTop
(𝓝 (∫ x in ⋂ (n : ℕ), Ici (n : ℝ), ‖f' x‖)) := by
apply tendsto_setIntegral_of_antitone (fun n ↦ measurableSet_Ici)
· intro m n hmn
exact Ici_subset_Ici.2 (Nat.cast_le.mpr hmn)
· rcases exists_nat_gt a with ⟨n, hn⟩
exact ⟨n, IntegrableOn.mono_set f'int.norm (Ici_subset_Ioi.2 hn)⟩
have B : ⋂ (n : ℕ), Ici (n : ℝ) = ∅ := by
apply eq_empty_of_forall_not_mem (fun x ↦ ?_)
simpa only [mem_iInter, mem_Ici, not_forall, not_le] using exists_nat_gt x
simp only [B, Measure.restrict_empty, integral_zero_measure] at L
exact (tendsto_order.1 L).2 _ εpos
have B : ∀ᶠ (n : ℕ) in atTop, a < n := by
rcases exists_nat_gt a with ⟨n, hn⟩
filter_upwards [Ioi_mem_atTop n] with m (hm : n < m) using hn.trans (Nat.cast_lt.mpr hm)
rcases (A.and B).exists with ⟨N, hN, h'N⟩
refine ⟨N, fun x hx ↦ ?_⟩
calc
dist (f x) (f ↑N)
= ‖f x - f N‖ := dist_eq_norm _ _
_ = ‖∫ t in Ioc ↑N x, f' t‖ := by
rw [← intervalIntegral.integral_of_le hx, intervalIntegral.integral_eq_sub_of_hasDerivAt]
· intro y hy
simp only [hx, uIcc_of_le, mem_Icc] at hy
exact hderiv _ (h'N.trans_le hy.1)
· rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hx]
exact f'int.mono_set (Ioc_subset_Ioi_self.trans (Ioi_subset_Ioi h'N.le))
_ ≤ ∫ t in Ioc ↑N x, ‖f' t‖ := norm_integral_le_integral_norm fun a ↦ f' a
_ ≤ ∫ t in Ici ↑N, ‖f' t‖ := by
apply setIntegral_mono_set
· apply IntegrableOn.mono_set f'int.norm (Ici_subset_Ioi.2 h'N)
· filter_upwards with x using norm_nonneg _
· have : Ioc (↑N) x ⊆ Ici ↑N := Ioc_subset_Ioi_self.trans Ioi_subset_Ici_self
exact this.eventuallyLE
_ < ε := hN
open UniformSpace in
/-- If a function and its derivative are integrable on `(a, +∞)`, then the function tends to zero
at `+∞`. -/
theorem tendsto_zero_of_hasDerivAt_of_integrableOn_Ioi
(hderiv : ∀ x ∈ Ioi a, HasDerivAt f (f' x) x)
(f'int : IntegrableOn f' (Ioi a)) (fint : IntegrableOn f (Ioi a)) :
Tendsto f atTop (𝓝 0) := by
let F : E →L[ℝ] Completion E := Completion.toComplL
have Fderiv : ∀ x ∈ Ioi a, HasDerivAt (F ∘ f) (F (f' x)) x :=
fun x hx ↦ F.hasFDerivAt.comp_hasDerivAt _ (hderiv x hx)
have Fint : IntegrableOn (F ∘ f) (Ioi a) := by apply F.integrable_comp fint
have F'int : IntegrableOn (F ∘ f') (Ioi a) := by apply F.integrable_comp f'int
have A : Tendsto (F ∘ f) atTop (𝓝 (limUnder atTop (F ∘ f))) := by
apply tendsto_limUnder_of_hasDerivAt_of_integrableOn_Ioi Fderiv F'int
have B : limUnder atTop (F ∘ f) = F 0 := by
have : IntegrableAtFilter (F ∘ f) atTop := by exact ⟨Ioi a, Ioi_mem_atTop _, Fint⟩
apply IntegrableAtFilter.eq_zero_of_tendsto this ?_ A
intro s hs
rcases mem_atTop_sets.1 hs with ⟨b, hb⟩
rw [← top_le_iff, ← volume_Ici (a := b)]
exact measure_mono hb
rwa [B, ← Embedding.tendsto_nhds_iff] at A
exact (Completion.uniformEmbedding_coe E).embedding
variable [CompleteSpace E]
/-- **Fundamental theorem of calculus-2**, on semi-infinite intervals `(a, +∞)`.
When a function has a limit at infinity `m`, and its derivative is integrable, then the
integral of the derivative on `(a, +∞)` is `m - f a`. Version assuming differentiability
on `(a, +∞)` and continuity at `a⁺`.
Note that such a function always has a limit at infinity,
see `tendsto_limUnder_of_hasDerivAt_of_integrableOn_Ioi`. -/
theorem integral_Ioi_of_hasDerivAt_of_tendsto (hcont : ContinuousWithinAt f (Ici a) a)
(hderiv : ∀ x ∈ Ioi a, HasDerivAt f (f' x) x) (f'int : IntegrableOn f' (Ioi a))
(hf : Tendsto f atTop (𝓝 m)) : ∫ x in Ioi a, f' x = m - f a := by
have hcont : ContinuousOn f (Ici a) := by
intro x hx
rcases hx.out.eq_or_lt with rfl|hx
· exact hcont
· exact (hderiv x hx).continuousAt.continuousWithinAt
refine tendsto_nhds_unique (intervalIntegral_tendsto_integral_Ioi a f'int tendsto_id) ?_
apply Tendsto.congr' _ (hf.sub_const _)
filter_upwards [Ioi_mem_atTop a] with x hx
have h'x : a ≤ id x := le_of_lt hx
symm
apply
intervalIntegral.integral_eq_sub_of_hasDerivAt_of_le h'x (hcont.mono Icc_subset_Ici_self)
fun y hy => hderiv y hy.1
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le h'x]
exact f'int.mono (fun y hy => hy.1) le_rfl
#align measure_theory.integral_Ioi_of_has_deriv_at_of_tendsto MeasureTheory.integral_Ioi_of_hasDerivAt_of_tendsto
/-- **Fundamental theorem of calculus-2**, on semi-infinite intervals `(a, +∞)`.
When a function has a limit at infinity `m`, and its derivative is integrable, then the
integral of the derivative on `(a, +∞)` is `m - f a`. Version assuming differentiability
on `[a, +∞)`.
Note that such a function always has a limit at infinity,
see `tendsto_limUnder_of_hasDerivAt_of_integrableOn_Ioi`. -/
theorem integral_Ioi_of_hasDerivAt_of_tendsto' (hderiv : ∀ x ∈ Ici a, HasDerivAt f (f' x) x)
(f'int : IntegrableOn f' (Ioi a)) (hf : Tendsto f atTop (𝓝 m)) :
∫ x in Ioi a, f' x = m - f a := by
refine integral_Ioi_of_hasDerivAt_of_tendsto ?_ (fun x hx => hderiv x hx.out.le)
f'int hf
exact (hderiv a left_mem_Ici).continuousAt.continuousWithinAt
#align measure_theory.integral_Ioi_of_has_deriv_at_of_tendsto' MeasureTheory.integral_Ioi_of_hasDerivAt_of_tendsto'
/-- A special case of `integral_Ioi_of_hasDerivAt_of_tendsto` where we assume that `f` is C^1 with
compact support. -/
theorem _root_.HasCompactSupport.integral_Ioi_deriv_eq (hf : ContDiff ℝ 1 f)
(h2f : HasCompactSupport f) (b : ℝ) : ∫ x in Ioi b, deriv f x = - f b := by
have := fun x (_ : x ∈ Ioi b) ↦ hf.differentiable le_rfl x |>.hasDerivAt
rw [integral_Ioi_of_hasDerivAt_of_tendsto hf.continuous.continuousWithinAt this, zero_sub]
· refine hf.continuous_deriv le_rfl |>.integrable_of_hasCompactSupport h2f.deriv |>.integrableOn
rw [hasCompactSupport_iff_eventuallyEq, Filter.coclosedCompact_eq_cocompact] at h2f
exact h2f.filter_mono _root_.atTop_le_cocompact |>.tendsto
/-- When a function has a limit at infinity, and its derivative is nonnegative, then the derivative
is automatically integrable on `(a, +∞)`. Version assuming differentiability
on `(a, +∞)` and continuity at `a⁺`. -/
theorem integrableOn_Ioi_deriv_of_nonneg (hcont : ContinuousWithinAt g (Ici a) a)
(hderiv : ∀ x ∈ Ioi a, HasDerivAt g (g' x) x) (g'pos : ∀ x ∈ Ioi a, 0 ≤ g' x)
(hg : Tendsto g atTop (𝓝 l)) : IntegrableOn g' (Ioi a) := by
have hcont : ContinuousOn g (Ici a) := by
intro x hx
rcases hx.out.eq_or_lt with rfl|hx
· exact hcont
· exact (hderiv x hx).continuousAt.continuousWithinAt
refine integrableOn_Ioi_of_intervalIntegral_norm_tendsto (l - g a) a (fun x => ?_) tendsto_id ?_
· exact intervalIntegral.integrableOn_deriv_of_nonneg (hcont.mono Icc_subset_Ici_self)
(fun y hy => hderiv y hy.1) fun y hy => g'pos y hy.1
apply Tendsto.congr' _ (hg.sub_const _)
filter_upwards [Ioi_mem_atTop a] with x hx
have h'x : a ≤ id x := le_of_lt hx
calc
g x - g a = ∫ y in a..id x, g' y := by
symm
apply intervalIntegral.integral_eq_sub_of_hasDerivAt_of_le h'x
(hcont.mono Icc_subset_Ici_self) fun y hy => hderiv y hy.1
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le h'x]
exact intervalIntegral.integrableOn_deriv_of_nonneg (hcont.mono Icc_subset_Ici_self)
(fun y hy => hderiv y hy.1) fun y hy => g'pos y hy.1
_ = ∫ y in a..id x, ‖g' y‖ := by
simp_rw [intervalIntegral.integral_of_le h'x]
refine setIntegral_congr measurableSet_Ioc fun y hy => ?_
dsimp
rw [abs_of_nonneg]
exact g'pos _ hy.1
#align measure_theory.integrable_on_Ioi_deriv_of_nonneg MeasureTheory.integrableOn_Ioi_deriv_of_nonneg
/-- When a function has a limit at infinity, and its derivative is nonnegative, then the derivative
is automatically integrable on `(a, +∞)`. Version assuming differentiability
on `[a, +∞)`. -/
theorem integrableOn_Ioi_deriv_of_nonneg' (hderiv : ∀ x ∈ Ici a, HasDerivAt g (g' x) x)
(g'pos : ∀ x ∈ Ioi a, 0 ≤ g' x) (hg : Tendsto g atTop (𝓝 l)) : IntegrableOn g' (Ioi a) := by
refine integrableOn_Ioi_deriv_of_nonneg ?_ (fun x hx => hderiv x hx.out.le) g'pos hg
exact (hderiv a left_mem_Ici).continuousAt.continuousWithinAt
#align measure_theory.integrable_on_Ioi_deriv_of_nonneg' MeasureTheory.integrableOn_Ioi_deriv_of_nonneg'
/-- When a function has a limit at infinity `l`, and its derivative is nonnegative, then the
integral of the derivative on `(a, +∞)` is `l - g a` (and the derivative is integrable, see
`integrable_on_Ioi_deriv_of_nonneg`). Version assuming differentiability on `(a, +∞)` and
continuity at `a⁺`. -/
theorem integral_Ioi_of_hasDerivAt_of_nonneg (hcont : ContinuousWithinAt g (Ici a) a)
(hderiv : ∀ x ∈ Ioi a, HasDerivAt g (g' x) x) (g'pos : ∀ x ∈ Ioi a, 0 ≤ g' x)
(hg : Tendsto g atTop (𝓝 l)) : ∫ x in Ioi a, g' x = l - g a :=
integral_Ioi_of_hasDerivAt_of_tendsto hcont hderiv
(integrableOn_Ioi_deriv_of_nonneg hcont hderiv g'pos hg) hg
#align measure_theory.integral_Ioi_of_has_deriv_at_of_nonneg MeasureTheory.integral_Ioi_of_hasDerivAt_of_nonneg
/-- When a function has a limit at infinity `l`, and its derivative is nonnegative, then the
integral of the derivative on `(a, +∞)` is `l - g a` (and the derivative is integrable, see
`integrable_on_Ioi_deriv_of_nonneg'`). Version assuming differentiability on `[a, +∞)`. -/
theorem integral_Ioi_of_hasDerivAt_of_nonneg' (hderiv : ∀ x ∈ Ici a, HasDerivAt g (g' x) x)
(g'pos : ∀ x ∈ Ioi a, 0 ≤ g' x) (hg : Tendsto g atTop (𝓝 l)) : ∫ x in Ioi a, g' x = l - g a :=
integral_Ioi_of_hasDerivAt_of_tendsto' hderiv (integrableOn_Ioi_deriv_of_nonneg' hderiv g'pos hg)
hg
#align measure_theory.integral_Ioi_of_has_deriv_at_of_nonneg' MeasureTheory.integral_Ioi_of_hasDerivAt_of_nonneg'
/-- When a function has a limit at infinity, and its derivative is nonpositive, then the derivative
is automatically integrable on `(a, +∞)`. Version assuming differentiability
on `(a, +∞)` and continuity at `a⁺`. -/
theorem integrableOn_Ioi_deriv_of_nonpos (hcont : ContinuousWithinAt g (Ici a) a)
(hderiv : ∀ x ∈ Ioi a, HasDerivAt g (g' x) x) (g'neg : ∀ x ∈ Ioi a, g' x ≤ 0)
(hg : Tendsto g atTop (𝓝 l)) : IntegrableOn g' (Ioi a) := by
apply integrable_neg_iff.1
exact integrableOn_Ioi_deriv_of_nonneg hcont.neg (fun x hx => (hderiv x hx).neg)
(fun x hx => neg_nonneg_of_nonpos (g'neg x hx)) hg.neg
#align measure_theory.integrable_on_Ioi_deriv_of_nonpos MeasureTheory.integrableOn_Ioi_deriv_of_nonpos
/-- When a function has a limit at infinity, and its derivative is nonpositive, then the derivative
is automatically integrable on `(a, +∞)`. Version assuming differentiability
on `[a, +∞)`. -/
theorem integrableOn_Ioi_deriv_of_nonpos' (hderiv : ∀ x ∈ Ici a, HasDerivAt g (g' x) x)
(g'neg : ∀ x ∈ Ioi a, g' x ≤ 0) (hg : Tendsto g atTop (𝓝 l)) : IntegrableOn g' (Ioi a) := by
refine integrableOn_Ioi_deriv_of_nonpos ?_ (fun x hx ↦ hderiv x hx.out.le) g'neg hg
exact (hderiv a left_mem_Ici).continuousAt.continuousWithinAt
#align measure_theory.integrable_on_Ioi_deriv_of_nonpos' MeasureTheory.integrableOn_Ioi_deriv_of_nonpos'
/-- When a function has a limit at infinity `l`, and its derivative is nonpositive, then the
integral of the derivative on `(a, +∞)` is `l - g a` (and the derivative is integrable, see
`integrable_on_Ioi_deriv_of_nonneg`). Version assuming differentiability on `(a, +∞)` and
continuity at `a⁺`. -/
theorem integral_Ioi_of_hasDerivAt_of_nonpos (hcont : ContinuousWithinAt g (Ici a) a)
(hderiv : ∀ x ∈ Ioi a, HasDerivAt g (g' x) x) (g'neg : ∀ x ∈ Ioi a, g' x ≤ 0)
(hg : Tendsto g atTop (𝓝 l)) : ∫ x in Ioi a, g' x = l - g a :=
integral_Ioi_of_hasDerivAt_of_tendsto hcont hderiv
(integrableOn_Ioi_deriv_of_nonpos hcont hderiv g'neg hg) hg
#align measure_theory.integral_Ioi_of_has_deriv_at_of_nonpos MeasureTheory.integral_Ioi_of_hasDerivAt_of_nonpos
/-- When a function has a limit at infinity `l`, and its derivative is nonpositive, then the
integral of the derivative on `(a, +∞)` is `l - g a` (and the derivative is integrable, see
`integrable_on_Ioi_deriv_of_nonneg'`). Version assuming differentiability on `[a, +∞)`. -/
theorem integral_Ioi_of_hasDerivAt_of_nonpos' (hderiv : ∀ x ∈ Ici a, HasDerivAt g (g' x) x)
(g'neg : ∀ x ∈ Ioi a, g' x ≤ 0) (hg : Tendsto g atTop (𝓝 l)) : ∫ x in Ioi a, g' x = l - g a :=
integral_Ioi_of_hasDerivAt_of_tendsto' hderiv (integrableOn_Ioi_deriv_of_nonpos' hderiv g'neg hg)
hg
#align measure_theory.integral_Ioi_of_has_deriv_at_of_nonpos' MeasureTheory.integral_Ioi_of_hasDerivAt_of_nonpos'
end IoiFTC
section IicFTC
variable {E : Type*} {f f' : ℝ → E} {g g' : ℝ → ℝ} {a b l : ℝ} {m : E} [NormedAddCommGroup E]
[NormedSpace ℝ E]
/-- If the derivative of a function defined on the real line is integrable close to `-∞`, then
the function has a limit at `-∞`. -/
theorem tendsto_limUnder_of_hasDerivAt_of_integrableOn_Iic [CompleteSpace E]
(hderiv : ∀ x ∈ Iic a, HasDerivAt f (f' x) x) (f'int : IntegrableOn f' (Iic a)) :
Tendsto f atBot (𝓝 (limUnder atBot f)) := by
suffices ∃ a, Tendsto f atBot (𝓝 a) from tendsto_nhds_limUnder this
let g := f ∘ (fun x ↦ -x)
have hdg : ∀ x ∈ Ioi (-a), HasDerivAt g (-f' (-x)) x := by
intro x hx
have : -x ∈ Iic a := by simp only [mem_Iic, mem_Ioi, neg_le] at *; exact hx.le
simpa using HasDerivAt.scomp x (hderiv (-x) this) (hasDerivAt_neg' x)
have L : Tendsto g atTop (𝓝 (limUnder atTop g)) := by
apply tendsto_limUnder_of_hasDerivAt_of_integrableOn_Ioi hdg
exact ((MeasurePreserving.integrableOn_comp_preimage (Measure.measurePreserving_neg _)
(Homeomorph.neg ℝ).measurableEmbedding).2 f'int.neg).mono_set (by simp)
refine ⟨limUnder atTop g, ?_⟩
have : Tendsto (fun x ↦ g (-x)) atBot (𝓝 (limUnder atTop g)) := L.comp tendsto_neg_atBot_atTop
simpa [g] using this
open UniformSpace in
/-- If a function and its derivative are integrable on `(-∞, a]`, then the function tends to zero
at `-∞`. -/
theorem tendsto_zero_of_hasDerivAt_of_integrableOn_Iic
(hderiv : ∀ x ∈ Iic a, HasDerivAt f (f' x) x)
(f'int : IntegrableOn f' (Iic a)) (fint : IntegrableOn f (Iic a)) :
Tendsto f atBot (𝓝 0) := by
let F : E →L[ℝ] Completion E := Completion.toComplL
have Fderiv : ∀ x ∈ Iic a, HasDerivAt (F ∘ f) (F (f' x)) x :=
fun x hx ↦ F.hasFDerivAt.comp_hasDerivAt _ (hderiv x hx)
have Fint : IntegrableOn (F ∘ f) (Iic a) := by apply F.integrable_comp fint
have F'int : IntegrableOn (F ∘ f') (Iic a) := by apply F.integrable_comp f'int
have A : Tendsto (F ∘ f) atBot (𝓝 (limUnder atBot (F ∘ f))) := by
apply tendsto_limUnder_of_hasDerivAt_of_integrableOn_Iic Fderiv F'int
have B : limUnder atBot (F ∘ f) = F 0 := by
have : IntegrableAtFilter (F ∘ f) atBot := by exact ⟨Iic a, Iic_mem_atBot _, Fint⟩
apply IntegrableAtFilter.eq_zero_of_tendsto this ?_ A
intro s hs
rcases mem_atBot_sets.1 hs with ⟨b, hb⟩
apply le_antisymm (le_top)
rw [← volume_Iic (a := b)]
exact measure_mono hb
rwa [B, ← Embedding.tendsto_nhds_iff] at A
exact (Completion.uniformEmbedding_coe E).embedding
variable [CompleteSpace E]
/-- **Fundamental theorem of calculus-2**, on semi-infinite intervals `(-∞, a)`.
When a function has a limit `m` at `-∞`, and its derivative is integrable, then the
integral of the derivative on `(-∞, a)` is `f a - m`. Version assuming differentiability
on `(-∞, a)` and continuity at `a⁻`.
Note that such a function always has a limit at minus infinity,
see `tendsto_limUnder_of_hasDerivAt_of_integrableOn_Iic`. -/
theorem integral_Iic_of_hasDerivAt_of_tendsto (hcont : ContinuousWithinAt f (Iic a) a)
(hderiv : ∀ x ∈ Iio a, HasDerivAt f (f' x) x) (f'int : IntegrableOn f' (Iic a))
(hf : Tendsto f atBot (𝓝 m)) : ∫ x in Iic a, f' x = f a - m := by
have hcont : ContinuousOn f (Iic a) := by
intro x hx
rcases hx.out.eq_or_lt with rfl|hx
· exact hcont
· exact (hderiv x hx).continuousAt.continuousWithinAt
refine tendsto_nhds_unique (intervalIntegral_tendsto_integral_Iic a f'int tendsto_id) ?_
apply Tendsto.congr' _ (hf.const_sub _)
filter_upwards [Iic_mem_atBot a] with x hx
symm
apply intervalIntegral.integral_eq_sub_of_hasDerivAt_of_le hx
(hcont.mono Icc_subset_Iic_self) fun y hy => hderiv y hy.2
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hx]
exact f'int.mono (fun y hy => hy.2) le_rfl
/-- **Fundamental theorem of calculus-2**, on semi-infinite intervals `(-∞, a)`.
When a function has a limit `m` at `-∞`, and its derivative is integrable, then the
integral of the derivative on `(-∞, a)` is `f a - m`. Version assuming differentiability
on `(-∞, a]`.
Note that such a function always has a limit at minus infinity,
see `tendsto_limUnder_of_hasDerivAt_of_integrableOn_Iic`. -/
theorem integral_Iic_of_hasDerivAt_of_tendsto'
(hderiv : ∀ x ∈ Iic a, HasDerivAt f (f' x) x) (f'int : IntegrableOn f' (Iic a))
(hf : Tendsto f atBot (𝓝 m)) : ∫ x in Iic a, f' x = f a - m := by
refine integral_Iic_of_hasDerivAt_of_tendsto ?_ (fun x hx => hderiv x hx.out.le)
f'int hf
exact (hderiv a right_mem_Iic).continuousAt.continuousWithinAt
/-- A special case of `integral_Iic_of_hasDerivAt_of_tendsto` where we assume that `f` is C^1 with
compact support. -/
theorem _root_.HasCompactSupport.integral_Iic_deriv_eq (hf : ContDiff ℝ 1 f)
(h2f : HasCompactSupport f) (b : ℝ) : ∫ x in Iic b, deriv f x = f b := by
have := fun x (_ : x ∈ Iio b) ↦ hf.differentiable le_rfl x |>.hasDerivAt
rw [integral_Iic_of_hasDerivAt_of_tendsto hf.continuous.continuousWithinAt this, sub_zero]
· refine hf.continuous_deriv le_rfl |>.integrable_of_hasCompactSupport h2f.deriv |>.integrableOn
rw [hasCompactSupport_iff_eventuallyEq, Filter.coclosedCompact_eq_cocompact] at h2f
exact h2f.filter_mono _root_.atBot_le_cocompact |>.tendsto
end IicFTC
section UnivFTC
variable {E : Type*} {f f' : ℝ → E} {g g' : ℝ → ℝ} {a b l : ℝ} {m n : E} [NormedAddCommGroup E]
[NormedSpace ℝ E]
/-- **Fundamental theorem of calculus-2**, on the whole real line
When a function has a limit `m` at `-∞` and `n` at `+∞`, and its derivative is integrable, then the
integral of the derivative is `n - m`.
Note that such a function always has a limit at `-∞` and `+∞`,
see `tendsto_limUnder_of_hasDerivAt_of_integrableOn_Iic` and
`tendsto_limUnder_of_hasDerivAt_of_integrableOn_Ioi`. -/
theorem integral_of_hasDerivAt_of_tendsto [CompleteSpace E]
(hderiv : ∀ x, HasDerivAt f (f' x) x) (hf' : Integrable f')
(hbot : Tendsto f atBot (𝓝 m)) (htop : Tendsto f atTop (𝓝 n)) : ∫ x, f' x = n - m := by
rw [← integral_univ, ← Set.Iic_union_Ioi (a := 0),
integral_union (Iic_disjoint_Ioi le_rfl) measurableSet_Ioi hf'.integrableOn hf'.integrableOn,
integral_Iic_of_hasDerivAt_of_tendsto' (fun x _ ↦ hderiv x) hf'.integrableOn hbot,
integral_Ioi_of_hasDerivAt_of_tendsto' (fun x _ ↦ hderiv x) hf'.integrableOn htop]
abel
/-- If a function and its derivative are integrable on the real line, then the integral of the
derivative is zero. -/
theorem integral_eq_zero_of_hasDerivAt_of_integrable
(hderiv : ∀ x, HasDerivAt f (f' x) x) (hf' : Integrable f') (hf : Integrable f) :
∫ x, f' x = 0 := by
by_cases hE : CompleteSpace E; swap
· simp [integral, hE]
have A : Tendsto f atBot (𝓝 0) :=
tendsto_zero_of_hasDerivAt_of_integrableOn_Iic (a := 0) (fun x _hx ↦ hderiv x)
hf'.integrableOn hf.integrableOn
have B : Tendsto f atTop (𝓝 0) :=
tendsto_zero_of_hasDerivAt_of_integrableOn_Ioi (a := 0) (fun x _hx ↦ hderiv x)
hf'.integrableOn hf.integrableOn
simpa using integral_of_hasDerivAt_of_tendsto hderiv hf' A B
end UnivFTC
section IoiChangeVariables
open Real
open scoped Interval
variable {E : Type*} {f : ℝ → E} [NormedAddCommGroup E] [NormedSpace ℝ E]
/-- Change-of-variables formula for `Ioi` integrals of vector-valued functions, proved by taking
limits from the result for finite intervals. -/
theorem integral_comp_smul_deriv_Ioi {f f' : ℝ → ℝ} {g : ℝ → E} {a : ℝ}
(hf : ContinuousOn f <| Ici a) (hft : Tendsto f atTop atTop)
(hff' : ∀ x ∈ Ioi a, HasDerivWithinAt f (f' x) (Ioi x) x)
(hg_cont : ContinuousOn g <| f '' Ioi a) (hg1 : IntegrableOn g <| f '' Ici a)
(hg2 : IntegrableOn (fun x => f' x • (g ∘ f) x) (Ici a)) :
(∫ x in Ioi a, f' x • (g ∘ f) x) = ∫ u in Ioi (f a), g u := by
have eq : ∀ b : ℝ, a < b → (∫ x in a..b, f' x • (g ∘ f) x) = ∫ u in f a..f b, g u := fun b hb ↦ by
have i1 : Ioo (min a b) (max a b) ⊆ Ioi a := by
rw [min_eq_left hb.le]
exact Ioo_subset_Ioi_self
have i2 : [[a, b]] ⊆ Ici a := by rw [uIcc_of_le hb.le]; exact Icc_subset_Ici_self
refine
intervalIntegral.integral_comp_smul_deriv''' (hf.mono i2)
(fun x hx => hff' x <| mem_of_mem_of_subset hx i1) (hg_cont.mono <| image_subset _ ?_)
(hg1.mono_set <| image_subset _ ?_) (hg2.mono_set i2)
· rw [min_eq_left hb.le]; exact Ioo_subset_Ioi_self
· rw [uIcc_of_le hb.le]; exact Icc_subset_Ici_self
rw [integrableOn_Ici_iff_integrableOn_Ioi] at hg2
have t2 := intervalIntegral_tendsto_integral_Ioi _ hg2 tendsto_id
have : Ioi (f a) ⊆ f '' Ici a :=
Ioi_subset_Ici_self.trans <|
IsPreconnected.intermediate_value_Ici isPreconnected_Ici left_mem_Ici
(le_principal_iff.mpr <| Ici_mem_atTop _) hf hft
have t1 := (intervalIntegral_tendsto_integral_Ioi _ (hg1.mono_set this) tendsto_id).comp hft
exact tendsto_nhds_unique (Tendsto.congr' (eventuallyEq_of_mem (Ioi_mem_atTop a) eq) t2) t1
#align measure_theory.integral_comp_smul_deriv_Ioi MeasureTheory.integral_comp_smul_deriv_Ioi
/-- Change-of-variables formula for `Ioi` integrals of scalar-valued functions -/
theorem integral_comp_mul_deriv_Ioi {f f' : ℝ → ℝ} {g : ℝ → ℝ} {a : ℝ}
(hf : ContinuousOn f <| Ici a) (hft : Tendsto f atTop atTop)
(hff' : ∀ x ∈ Ioi a, HasDerivWithinAt f (f' x) (Ioi x) x)
(hg_cont : ContinuousOn g <| f '' Ioi a) (hg1 : IntegrableOn g <| f '' Ici a)
(hg2 : IntegrableOn (fun x => (g ∘ f) x * f' x) (Ici a)) :
(∫ x in Ioi a, (g ∘ f) x * f' x) = ∫ u in Ioi (f a), g u := by
have hg2' : IntegrableOn (fun x => f' x • (g ∘ f) x) (Ici a) := by simpa [mul_comm] using hg2
simpa [mul_comm] using integral_comp_smul_deriv_Ioi hf hft hff' hg_cont hg1 hg2'
#align measure_theory.integral_comp_mul_deriv_Ioi MeasureTheory.integral_comp_mul_deriv_Ioi
/-- Substitution `y = x ^ p` in integrals over `Ioi 0` -/
theorem integral_comp_rpow_Ioi (g : ℝ → E) {p : ℝ} (hp : p ≠ 0) :
(∫ x in Ioi 0, (|p| * x ^ (p - 1)) • g (x ^ p)) = ∫ y in Ioi 0, g y := by
let S := Ioi (0 : ℝ)
have a1 : ∀ x : ℝ, x ∈ S → HasDerivWithinAt (fun t : ℝ => t ^ p) (p * x ^ (p - 1)) S x :=
fun x hx => (hasDerivAt_rpow_const (Or.inl (mem_Ioi.mp hx).ne')).hasDerivWithinAt
have a2 : InjOn (fun x : ℝ => x ^ p) S := by
rcases lt_or_gt_of_ne hp with (h | h)
· apply StrictAntiOn.injOn
intro x hx y hy hxy
rw [← inv_lt_inv (rpow_pos_of_pos hx p) (rpow_pos_of_pos hy p), ← rpow_neg (le_of_lt hx),
← rpow_neg (le_of_lt hy)]
exact rpow_lt_rpow (le_of_lt hx) hxy (neg_pos.mpr h)
exact StrictMonoOn.injOn fun x hx y _ hxy => rpow_lt_rpow (mem_Ioi.mp hx).le hxy h
have a3 : (fun t : ℝ => t ^ p) '' S = S := by
ext1 x; rw [mem_image]; constructor
· rintro ⟨y, hy, rfl⟩; exact rpow_pos_of_pos hy p
· intro hx; refine ⟨x ^ (1 / p), rpow_pos_of_pos hx _, ?_⟩
rw [← rpow_mul (le_of_lt hx), one_div_mul_cancel hp, rpow_one]
have := integral_image_eq_integral_abs_deriv_smul measurableSet_Ioi a1 a2 g
rw [a3] at this; rw [this]
refine setIntegral_congr measurableSet_Ioi ?_
intro x hx; dsimp only
rw [abs_mul, abs_of_nonneg (rpow_nonneg (le_of_lt hx) _)]
#align measure_theory.integral_comp_rpow_Ioi MeasureTheory.integral_comp_rpow_Ioi
theorem integral_comp_rpow_Ioi_of_pos {g : ℝ → E} {p : ℝ} (hp : 0 < p) :
(∫ x in Ioi 0, (p * x ^ (p - 1)) • g (x ^ p)) = ∫ y in Ioi 0, g y := by
convert integral_comp_rpow_Ioi g hp.ne'
rw [abs_of_nonneg hp.le]
#align measure_theory.integral_comp_rpow_Ioi_of_pos MeasureTheory.integral_comp_rpow_Ioi_of_pos
theorem integral_comp_mul_left_Ioi (g : ℝ → E) (a : ℝ) {b : ℝ} (hb : 0 < b) :
(∫ x in Ioi a, g (b * x)) = b⁻¹ • ∫ x in Ioi (b * a), g x := by
have : ∀ c : ℝ, MeasurableSet (Ioi c) := fun c => measurableSet_Ioi
rw [← integral_indicator (this a), ← integral_indicator (this (b * a)),
← abs_of_pos (inv_pos.mpr hb), ← Measure.integral_comp_mul_left]
congr
ext1 x
rw [← indicator_comp_right, preimage_const_mul_Ioi _ hb, mul_div_cancel_left₀ _ hb.ne']
rfl
#align measure_theory.integral_comp_mul_left_Ioi MeasureTheory.integral_comp_mul_left_Ioi
theorem integral_comp_mul_right_Ioi (g : ℝ → E) (a : ℝ) {b : ℝ} (hb : 0 < b) :
(∫ x in Ioi a, g (x * b)) = b⁻¹ • ∫ x in Ioi (a * b), g x := by
simpa only [mul_comm] using integral_comp_mul_left_Ioi g a hb
#align measure_theory.integral_comp_mul_right_Ioi MeasureTheory.integral_comp_mul_right_Ioi
end IoiChangeVariables
section IoiIntegrability
open Real
open scoped Interval
variable {E : Type*} [NormedAddCommGroup E]
/-- The substitution `y = x ^ p` in integrals over `Ioi 0` preserves integrability. -/
theorem integrableOn_Ioi_comp_rpow_iff [NormedSpace ℝ E] (f : ℝ → E) {p : ℝ} (hp : p ≠ 0) :
IntegrableOn (fun x => (|p| * x ^ (p - 1)) • f (x ^ p)) (Ioi 0) ↔ IntegrableOn f (Ioi 0) := by
let S := Ioi (0 : ℝ)
have a1 : ∀ x : ℝ, x ∈ S → HasDerivWithinAt (fun t : ℝ => t ^ p) (p * x ^ (p - 1)) S x :=
fun x hx => (hasDerivAt_rpow_const (Or.inl (mem_Ioi.mp hx).ne')).hasDerivWithinAt
have a2 : InjOn (fun x : ℝ => x ^ p) S := by
rcases lt_or_gt_of_ne hp with (h | h)
· apply StrictAntiOn.injOn
intro x hx y hy hxy
rw [← inv_lt_inv (rpow_pos_of_pos hx p) (rpow_pos_of_pos hy p), ← rpow_neg (le_of_lt hx), ←
rpow_neg (le_of_lt hy)]
exact rpow_lt_rpow (le_of_lt hx) hxy (neg_pos.mpr h)
exact StrictMonoOn.injOn fun x hx y _hy hxy => rpow_lt_rpow (mem_Ioi.mp hx).le hxy h
have a3 : (fun t : ℝ => t ^ p) '' S = S := by
ext1 x; rw [mem_image]; constructor
· rintro ⟨y, hy, rfl⟩; exact rpow_pos_of_pos hy p
· intro hx; refine ⟨x ^ (1 / p), rpow_pos_of_pos hx _, ?_⟩
rw [← rpow_mul (le_of_lt hx), one_div_mul_cancel hp, rpow_one]
have := integrableOn_image_iff_integrableOn_abs_deriv_smul measurableSet_Ioi a1 a2 f
rw [a3] at this
rw [this]
refine integrableOn_congr_fun (fun x hx => ?_) measurableSet_Ioi
simp_rw [abs_mul, abs_of_nonneg (rpow_nonneg (le_of_lt hx) _)]
#align measure_theory.integrable_on_Ioi_comp_rpow_iff MeasureTheory.integrableOn_Ioi_comp_rpow_iff
/-- The substitution `y = x ^ p` in integrals over `Ioi 0` preserves integrability (version
without `|p|` factor) -/
theorem integrableOn_Ioi_comp_rpow_iff' [NormedSpace ℝ E] (f : ℝ → E) {p : ℝ} (hp : p ≠ 0) :
IntegrableOn (fun x => x ^ (p - 1) • f (x ^ p)) (Ioi 0) ↔ IntegrableOn f (Ioi 0) := by
simpa only [← integrableOn_Ioi_comp_rpow_iff f hp, mul_smul] using
(integrable_smul_iff (abs_pos.mpr hp).ne' _).symm
#align measure_theory.integrable_on_Ioi_comp_rpow_iff' MeasureTheory.integrableOn_Ioi_comp_rpow_iff'
theorem integrableOn_Ioi_comp_mul_left_iff (f : ℝ → E) (c : ℝ) {a : ℝ} (ha : 0 < a) :
IntegrableOn (fun x => f (a * x)) (Ioi c) ↔ IntegrableOn f (Ioi <| a * c) := by
rw [← integrable_indicator_iff (measurableSet_Ioi : MeasurableSet <| Ioi c)]
rw [← integrable_indicator_iff (measurableSet_Ioi : MeasurableSet <| Ioi <| a * c)]
convert integrable_comp_mul_left_iff ((Ioi (a * c)).indicator f) ha.ne' using 2
ext1 x
rw [← indicator_comp_right, preimage_const_mul_Ioi _ ha, mul_comm a c,
mul_div_cancel_right₀ _ ha.ne']
rfl
#align measure_theory.integrable_on_Ioi_comp_mul_left_iff MeasureTheory.integrableOn_Ioi_comp_mul_left_iff
theorem integrableOn_Ioi_comp_mul_right_iff (f : ℝ → E) (c : ℝ) {a : ℝ} (ha : 0 < a) :
IntegrableOn (fun x => f (x * a)) (Ioi c) ↔ IntegrableOn f (Ioi <| c * a) := by
simpa only [mul_comm, mul_zero] using integrableOn_Ioi_comp_mul_left_iff f c ha
#align measure_theory.integrable_on_Ioi_comp_mul_right_iff MeasureTheory.integrableOn_Ioi_comp_mul_right_iff
end IoiIntegrability
/-!
## Integration by parts
-/
section IntegrationByPartsBilinear
variable {E F G : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [NormedSpace ℝ F] [NormedAddCommGroup G] [NormedSpace ℝ G]
{L : E →L[ℝ] F →L[ℝ] G} {u : ℝ → E} {v : ℝ → F} {u' : ℝ → E} {v' : ℝ → F}
{m n : G}
theorem integral_bilinear_hasDerivAt_eq_sub [CompleteSpace G]
(hu : ∀ x, HasDerivAt u (u' x) x) (hv : ∀ x, HasDerivAt v (v' x) x)
(huv : Integrable (fun x ↦ L (u x) (v' x) + L (u' x) (v x)))
(h_bot : Tendsto (fun x ↦ L (u x) (v x)) atBot (𝓝 m))
(h_top : Tendsto (fun x ↦ L (u x) (v x)) atTop (𝓝 n)) :
∫ (x : ℝ), L (u x) (v' x) + L (u' x) (v x) = n - m :=
integral_of_hasDerivAt_of_tendsto (fun x ↦ L.hasDerivAt_of_bilinear (hu x) (hv x))
huv h_bot h_top
/-- **Integration by parts on (-∞, ∞).**
With respect to a general bilinear form. For the specific case of multiplication, see
`integral_mul_deriv_eq_deriv_mul`. -/
theorem integral_bilinear_hasDerivAt_right_eq_sub [CompleteSpace G]
(hu : ∀ x, HasDerivAt u (u' x) x) (hv : ∀ x, HasDerivAt v (v' x) x)
(huv' : Integrable (fun x ↦ L (u x) (v' x))) (hu'v : Integrable (fun x ↦ L (u' x) (v x)))
(h_bot : Tendsto (fun x ↦ L (u x) (v x)) atBot (𝓝 m))
(h_top : Tendsto (fun x ↦ L (u x) (v x)) atTop (𝓝 n)) :
∫ (x : ℝ), L (u x) (v' x) = n - m - ∫ (x : ℝ), L (u' x) (v x) := by
rw [eq_sub_iff_add_eq, ← integral_add huv' hu'v]
exact integral_bilinear_hasDerivAt_eq_sub hu hv (huv'.add hu'v) h_bot h_top
/-- **Integration by parts on (-∞, ∞).**
With respect to a general bilinear form, assuming moreover that the total function is integrable.
-/
theorem integral_bilinear_hasDerivAt_right_eq_neg_left_of_integrable
(hu : ∀ x, HasDerivAt u (u' x) x) (hv : ∀ x, HasDerivAt v (v' x) x)
(huv' : Integrable (fun x ↦ L (u x) (v' x))) (hu'v : Integrable (fun x ↦ L (u' x) (v x)))
(huv : Integrable (fun x ↦ L (u x) (v x))) :
∫ (x : ℝ), L (u x) (v' x) = - ∫ (x : ℝ), L (u' x) (v x) := by
by_cases hG : CompleteSpace G; swap
· simp [integral, hG]
have I : Tendsto (fun x ↦ L (u x) (v x)) atBot (𝓝 0) :=
tendsto_zero_of_hasDerivAt_of_integrableOn_Iic (a := 0)
(fun x _hx ↦ L.hasDerivAt_of_bilinear (hu x) (hv x))
(huv'.add hu'v).integrableOn huv.integrableOn
have J : Tendsto (fun x ↦ L (u x) (v x)) atTop (𝓝 0) :=
tendsto_zero_of_hasDerivAt_of_integrableOn_Ioi (a := 0)
(fun x _hx ↦ L.hasDerivAt_of_bilinear (hu x) (hv x))
(huv'.add hu'v).integrableOn huv.integrableOn
simp [integral_bilinear_hasDerivAt_right_eq_sub hu hv huv' hu'v I J]
end IntegrationByPartsBilinear
section IntegrationByPartsAlgebra
variable {A : Type*} [NormedRing A] [NormedAlgebra ℝ A]
{a b : ℝ} {a' b' : A} {u : ℝ → A} {v : ℝ → A} {u' : ℝ → A} {v' : ℝ → A}
/-- For finite intervals, see: `intervalIntegral.integral_deriv_mul_eq_sub`. -/
theorem integral_deriv_mul_eq_sub [CompleteSpace A]
(hu : ∀ x, HasDerivAt u (u' x) x) (hv : ∀ x, HasDerivAt v (v' x) x)
(huv : Integrable (u' * v + u * v'))
(h_bot : Tendsto (u * v) atBot (𝓝 a')) (h_top : Tendsto (u * v) atTop (𝓝 b')) :
∫ (x : ℝ), u' x * v x + u x * v' x = b' - a' :=
integral_of_hasDerivAt_of_tendsto (fun x ↦ (hu x).mul (hv x)) huv h_bot h_top
/-- **Integration by parts on (-∞, ∞).**
For finite intervals, see: `intervalIntegral.integral_mul_deriv_eq_deriv_mul`. -/
theorem integral_mul_deriv_eq_deriv_mul [CompleteSpace A]
(hu : ∀ x, HasDerivAt u (u' x) x) (hv : ∀ x, HasDerivAt v (v' x) x)
(huv' : Integrable (u * v')) (hu'v : Integrable (u' * v))
(h_bot : Tendsto (u * v) atBot (𝓝 a')) (h_top : Tendsto (u * v) atTop (𝓝 b')) :
∫ (x : ℝ), u x * v' x = b' - a' - ∫ (x : ℝ), u' x * v x :=
integral_bilinear_hasDerivAt_right_eq_sub (L := ContinuousLinearMap.mul ℝ A)
hu hv huv' hu'v h_bot h_top
/-- **Integration by parts on (-∞, ∞).**
Version assuming that the total function is integrable -/
theorem integral_mul_deriv_eq_deriv_mul_of_integrable
(hu : ∀ x, HasDerivAt u (u' x) x) (hv : ∀ x, HasDerivAt v (v' x) x)
(huv' : Integrable (u * v')) (hu'v : Integrable (u' * v)) (huv : Integrable (u * v)) :
∫ (x : ℝ), u x * v' x = - ∫ (x : ℝ), u' x * v x :=
integral_bilinear_hasDerivAt_right_eq_neg_left_of_integrable (L := ContinuousLinearMap.mul ℝ A)
hu hv huv' hu'v huv
variable [CompleteSpace A]
-- TODO: also apply `Tendsto _ (𝓝[>] a) (𝓝 a')` generalization to
-- `integral_Ioi_of_hasDerivAt_of_tendsto` and `integral_Iic_of_hasDerivAt_of_tendsto`
/-- For finite intervals, see: `intervalIntegral.integral_deriv_mul_eq_sub`. -/
theorem integral_Ioi_deriv_mul_eq_sub
(hu : ∀ x ∈ Ioi a, HasDerivAt u (u' x) x) (hv : ∀ x ∈ Ioi a, HasDerivAt v (v' x) x)
(huv : IntegrableOn (u' * v + u * v') (Ioi a))
(h_zero : Tendsto (u * v) (𝓝[>] a) (𝓝 a')) (h_infty : Tendsto (u * v) atTop (𝓝 b')) :
∫ (x : ℝ) in Ioi a, u' x * v x + u x * v' x = b' - a' := by
rw [← Ici_diff_left] at h_zero
let f := Function.update (u * v) a a'
have hderiv : ∀ x ∈ Ioi a, HasDerivAt f (u' x * v x + u x * v' x) x := by
intro x (hx : a < x)
apply ((hu x hx).mul (hv x hx)).congr_of_eventuallyEq
filter_upwards [eventually_ne_nhds hx.ne.symm] with y hy
exact Function.update_noteq hy a' (u * v)
have htendsto : Tendsto f atTop (𝓝 b') := by
apply h_infty.congr'
filter_upwards [eventually_ne_atTop a] with x hx
exact (Function.update_noteq hx a' (u * v)).symm
simpa using integral_Ioi_of_hasDerivAt_of_tendsto
(continuousWithinAt_update_same.mpr h_zero) hderiv huv htendsto
/-- **Integration by parts on (a, ∞).**
For finite intervals, see: `intervalIntegral.integral_mul_deriv_eq_deriv_mul`. -/
theorem integral_Ioi_mul_deriv_eq_deriv_mul
(hu : ∀ x ∈ Ioi a, HasDerivAt u (u' x) x) (hv : ∀ x ∈ Ioi a, HasDerivAt v (v' x) x)
(huv' : IntegrableOn (u * v') (Ioi a)) (hu'v : IntegrableOn (u' * v) (Ioi a))
(h_zero : Tendsto (u * v) (𝓝[>] a) (𝓝 a')) (h_infty : Tendsto (u * v) atTop (𝓝 b')) :
∫ (x : ℝ) in Ioi a, u x * v' x = b' - a' - ∫ (x : ℝ) in Ioi a, u' x * v x := by
rw [Pi.mul_def] at huv' hu'v
rw [eq_sub_iff_add_eq, ← integral_add huv' hu'v]
simpa only [add_comm] using integral_Ioi_deriv_mul_eq_sub hu hv (hu'v.add huv') h_zero h_infty
/-- For finite intervals, see: `intervalIntegral.integral_deriv_mul_eq_sub`. -/
| Mathlib/MeasureTheory/Integral/IntegralEqImproper.lean | 1,349 | 1,366 | theorem integral_Iic_deriv_mul_eq_sub
(hu : ∀ x ∈ Iio a, HasDerivAt u (u' x) x) (hv : ∀ x ∈ Iio a, HasDerivAt v (v' x) x)
(huv : IntegrableOn (u' * v + u * v') (Iic a))
(h_zero : Tendsto (u * v) (𝓝[<] a) (𝓝 a')) (h_infty : Tendsto (u * v) atBot (𝓝 b')) :
∫ (x : ℝ) in Iic a, u' x * v x + u x * v' x = a' - b' := by |
rw [← Iic_diff_right] at h_zero
let f := Function.update (u * v) a a'
have hderiv : ∀ x ∈ Iio a, HasDerivAt f (u' x * v x + u x * v' x) x := by
intro x hx
apply ((hu x hx).mul (hv x hx)).congr_of_eventuallyEq
filter_upwards [Iio_mem_nhds hx] with x (hx : x < a)
exact Function.update_noteq (ne_of_lt hx) a' (u * v)
have htendsto : Tendsto f atBot (𝓝 b') := by
apply h_infty.congr'
filter_upwards [Iio_mem_atBot a] with x (hx : x < a)
exact (Function.update_noteq (ne_of_lt hx) a' (u * v)).symm
simpa using integral_Iic_of_hasDerivAt_of_tendsto
(continuousWithinAt_update_same.mpr h_zero) hderiv huv htendsto
|
/-
Copyright (c) 2022 David Kurniadi Angdinata. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Kurniadi Angdinata
-/
import Mathlib.Algebra.Polynomial.Splits
#align_import algebra.cubic_discriminant from "leanprover-community/mathlib"@"930133160e24036d5242039fe4972407cd4f1222"
/-!
# Cubics and discriminants
This file defines cubic polynomials over a semiring and their discriminants over a splitting field.
## Main definitions
* `Cubic`: the structure representing a cubic polynomial.
* `Cubic.disc`: the discriminant of a cubic polynomial.
## Main statements
* `Cubic.disc_ne_zero_iff_roots_nodup`: the cubic discriminant is not equal to zero if and only if
the cubic has no duplicate roots.
## References
* https://en.wikipedia.org/wiki/Cubic_equation
* https://en.wikipedia.org/wiki/Discriminant
## Tags
cubic, discriminant, polynomial, root
-/
noncomputable section
/-- The structure representing a cubic polynomial. -/
@[ext]
structure Cubic (R : Type*) where
(a b c d : R)
#align cubic Cubic
namespace Cubic
open Cubic Polynomial
open Polynomial
variable {R S F K : Type*}
instance [Inhabited R] : Inhabited (Cubic R) :=
⟨⟨default, default, default, default⟩⟩
instance [Zero R] : Zero (Cubic R) :=
⟨⟨0, 0, 0, 0⟩⟩
section Basic
variable {P Q : Cubic R} {a b c d a' b' c' d' : R} [Semiring R]
/-- Convert a cubic polynomial to a polynomial. -/
def toPoly (P : Cubic R) : R[X] :=
C P.a * X ^ 3 + C P.b * X ^ 2 + C P.c * X + C P.d
#align cubic.to_poly Cubic.toPoly
theorem C_mul_prod_X_sub_C_eq [CommRing S] {w x y z : S} :
C w * (X - C x) * (X - C y) * (X - C z) =
toPoly ⟨w, w * -(x + y + z), w * (x * y + x * z + y * z), w * -(x * y * z)⟩ := by
simp only [toPoly, C_neg, C_add, C_mul]
ring1
set_option linter.uppercaseLean3 false in
#align cubic.C_mul_prod_X_sub_C_eq Cubic.C_mul_prod_X_sub_C_eq
theorem prod_X_sub_C_eq [CommRing S] {x y z : S} :
(X - C x) * (X - C y) * (X - C z) =
toPoly ⟨1, -(x + y + z), x * y + x * z + y * z, -(x * y * z)⟩ := by
rw [← one_mul <| X - C x, ← C_1, C_mul_prod_X_sub_C_eq, one_mul, one_mul, one_mul]
set_option linter.uppercaseLean3 false in
#align cubic.prod_X_sub_C_eq Cubic.prod_X_sub_C_eq
/-! ### Coefficients -/
section Coeff
private theorem coeffs : (∀ n > 3, P.toPoly.coeff n = 0) ∧ P.toPoly.coeff 3 = P.a ∧
P.toPoly.coeff 2 = P.b ∧ P.toPoly.coeff 1 = P.c ∧ P.toPoly.coeff 0 = P.d := by
simp only [toPoly, coeff_add, coeff_C, coeff_C_mul_X, coeff_C_mul_X_pow]
set_option tactic.skipAssignedInstances false in norm_num
intro n hn
repeat' rw [if_neg]
any_goals linarith only [hn]
repeat' rw [zero_add]
@[simp]
theorem coeff_eq_zero {n : ℕ} (hn : 3 < n) : P.toPoly.coeff n = 0 :=
coeffs.1 n hn
#align cubic.coeff_eq_zero Cubic.coeff_eq_zero
@[simp]
theorem coeff_eq_a : P.toPoly.coeff 3 = P.a :=
coeffs.2.1
#align cubic.coeff_eq_a Cubic.coeff_eq_a
@[simp]
theorem coeff_eq_b : P.toPoly.coeff 2 = P.b :=
coeffs.2.2.1
#align cubic.coeff_eq_b Cubic.coeff_eq_b
@[simp]
theorem coeff_eq_c : P.toPoly.coeff 1 = P.c :=
coeffs.2.2.2.1
#align cubic.coeff_eq_c Cubic.coeff_eq_c
@[simp]
theorem coeff_eq_d : P.toPoly.coeff 0 = P.d :=
coeffs.2.2.2.2
#align cubic.coeff_eq_d Cubic.coeff_eq_d
theorem a_of_eq (h : P.toPoly = Q.toPoly) : P.a = Q.a := by rw [← coeff_eq_a, h, coeff_eq_a]
#align cubic.a_of_eq Cubic.a_of_eq
theorem b_of_eq (h : P.toPoly = Q.toPoly) : P.b = Q.b := by rw [← coeff_eq_b, h, coeff_eq_b]
#align cubic.b_of_eq Cubic.b_of_eq
theorem c_of_eq (h : P.toPoly = Q.toPoly) : P.c = Q.c := by rw [← coeff_eq_c, h, coeff_eq_c]
#align cubic.c_of_eq Cubic.c_of_eq
theorem d_of_eq (h : P.toPoly = Q.toPoly) : P.d = Q.d := by rw [← coeff_eq_d, h, coeff_eq_d]
#align cubic.d_of_eq Cubic.d_of_eq
theorem toPoly_injective (P Q : Cubic R) : P.toPoly = Q.toPoly ↔ P = Q :=
⟨fun h ↦ Cubic.ext P Q (a_of_eq h) (b_of_eq h) (c_of_eq h) (d_of_eq h), congr_arg toPoly⟩
#align cubic.to_poly_injective Cubic.toPoly_injective
theorem of_a_eq_zero (ha : P.a = 0) : P.toPoly = C P.b * X ^ 2 + C P.c * X + C P.d := by
rw [toPoly, ha, C_0, zero_mul, zero_add]
#align cubic.of_a_eq_zero Cubic.of_a_eq_zero
theorem of_a_eq_zero' : toPoly ⟨0, b, c, d⟩ = C b * X ^ 2 + C c * X + C d :=
of_a_eq_zero rfl
#align cubic.of_a_eq_zero' Cubic.of_a_eq_zero'
theorem of_b_eq_zero (ha : P.a = 0) (hb : P.b = 0) : P.toPoly = C P.c * X + C P.d := by
rw [of_a_eq_zero ha, hb, C_0, zero_mul, zero_add]
#align cubic.of_b_eq_zero Cubic.of_b_eq_zero
theorem of_b_eq_zero' : toPoly ⟨0, 0, c, d⟩ = C c * X + C d :=
of_b_eq_zero rfl rfl
#align cubic.of_b_eq_zero' Cubic.of_b_eq_zero'
theorem of_c_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) : P.toPoly = C P.d := by
rw [of_b_eq_zero ha hb, hc, C_0, zero_mul, zero_add]
#align cubic.of_c_eq_zero Cubic.of_c_eq_zero
theorem of_c_eq_zero' : toPoly ⟨0, 0, 0, d⟩ = C d :=
of_c_eq_zero rfl rfl rfl
#align cubic.of_c_eq_zero' Cubic.of_c_eq_zero'
theorem of_d_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) (hd : P.d = 0) :
P.toPoly = 0 := by
rw [of_c_eq_zero ha hb hc, hd, C_0]
#align cubic.of_d_eq_zero Cubic.of_d_eq_zero
theorem of_d_eq_zero' : (⟨0, 0, 0, 0⟩ : Cubic R).toPoly = 0 :=
of_d_eq_zero rfl rfl rfl rfl
#align cubic.of_d_eq_zero' Cubic.of_d_eq_zero'
theorem zero : (0 : Cubic R).toPoly = 0 :=
of_d_eq_zero'
#align cubic.zero Cubic.zero
theorem toPoly_eq_zero_iff (P : Cubic R) : P.toPoly = 0 ↔ P = 0 := by
rw [← zero, toPoly_injective]
#align cubic.to_poly_eq_zero_iff Cubic.toPoly_eq_zero_iff
private theorem ne_zero (h0 : P.a ≠ 0 ∨ P.b ≠ 0 ∨ P.c ≠ 0 ∨ P.d ≠ 0) : P.toPoly ≠ 0 := by
contrapose! h0
rw [(toPoly_eq_zero_iff P).mp h0]
exact ⟨rfl, rfl, rfl, rfl⟩
theorem ne_zero_of_a_ne_zero (ha : P.a ≠ 0) : P.toPoly ≠ 0 :=
(or_imp.mp ne_zero).1 ha
#align cubic.ne_zero_of_a_ne_zero Cubic.ne_zero_of_a_ne_zero
theorem ne_zero_of_b_ne_zero (hb : P.b ≠ 0) : P.toPoly ≠ 0 :=
(or_imp.mp (or_imp.mp ne_zero).2).1 hb
#align cubic.ne_zero_of_b_ne_zero Cubic.ne_zero_of_b_ne_zero
theorem ne_zero_of_c_ne_zero (hc : P.c ≠ 0) : P.toPoly ≠ 0 :=
(or_imp.mp (or_imp.mp (or_imp.mp ne_zero).2).2).1 hc
#align cubic.ne_zero_of_c_ne_zero Cubic.ne_zero_of_c_ne_zero
theorem ne_zero_of_d_ne_zero (hd : P.d ≠ 0) : P.toPoly ≠ 0 :=
(or_imp.mp (or_imp.mp (or_imp.mp ne_zero).2).2).2 hd
#align cubic.ne_zero_of_d_ne_zero Cubic.ne_zero_of_d_ne_zero
@[simp]
theorem leadingCoeff_of_a_ne_zero (ha : P.a ≠ 0) : P.toPoly.leadingCoeff = P.a :=
leadingCoeff_cubic ha
#align cubic.leading_coeff_of_a_ne_zero Cubic.leadingCoeff_of_a_ne_zero
@[simp]
theorem leadingCoeff_of_a_ne_zero' (ha : a ≠ 0) : (toPoly ⟨a, b, c, d⟩).leadingCoeff = a :=
leadingCoeff_of_a_ne_zero ha
#align cubic.leading_coeff_of_a_ne_zero' Cubic.leadingCoeff_of_a_ne_zero'
@[simp]
theorem leadingCoeff_of_b_ne_zero (ha : P.a = 0) (hb : P.b ≠ 0) : P.toPoly.leadingCoeff = P.b := by
rw [of_a_eq_zero ha, leadingCoeff_quadratic hb]
#align cubic.leading_coeff_of_b_ne_zero Cubic.leadingCoeff_of_b_ne_zero
@[simp]
theorem leadingCoeff_of_b_ne_zero' (hb : b ≠ 0) : (toPoly ⟨0, b, c, d⟩).leadingCoeff = b :=
leadingCoeff_of_b_ne_zero rfl hb
#align cubic.leading_coeff_of_b_ne_zero' Cubic.leadingCoeff_of_b_ne_zero'
@[simp]
theorem leadingCoeff_of_c_ne_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c ≠ 0) :
P.toPoly.leadingCoeff = P.c := by
rw [of_b_eq_zero ha hb, leadingCoeff_linear hc]
#align cubic.leading_coeff_of_c_ne_zero Cubic.leadingCoeff_of_c_ne_zero
@[simp]
theorem leadingCoeff_of_c_ne_zero' (hc : c ≠ 0) : (toPoly ⟨0, 0, c, d⟩).leadingCoeff = c :=
leadingCoeff_of_c_ne_zero rfl rfl hc
#align cubic.leading_coeff_of_c_ne_zero' Cubic.leadingCoeff_of_c_ne_zero'
@[simp]
theorem leadingCoeff_of_c_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) :
P.toPoly.leadingCoeff = P.d := by
rw [of_c_eq_zero ha hb hc, leadingCoeff_C]
#align cubic.leading_coeff_of_c_eq_zero Cubic.leadingCoeff_of_c_eq_zero
-- @[simp] -- porting note (#10618): simp can prove this
theorem leadingCoeff_of_c_eq_zero' : (toPoly ⟨0, 0, 0, d⟩).leadingCoeff = d :=
leadingCoeff_of_c_eq_zero rfl rfl rfl
#align cubic.leading_coeff_of_c_eq_zero' Cubic.leadingCoeff_of_c_eq_zero'
theorem monic_of_a_eq_one (ha : P.a = 1) : P.toPoly.Monic := by
nontriviality R
rw [Monic, leadingCoeff_of_a_ne_zero (ha ▸ one_ne_zero), ha]
#align cubic.monic_of_a_eq_one Cubic.monic_of_a_eq_one
theorem monic_of_a_eq_one' : (toPoly ⟨1, b, c, d⟩).Monic :=
monic_of_a_eq_one rfl
#align cubic.monic_of_a_eq_one' Cubic.monic_of_a_eq_one'
theorem monic_of_b_eq_one (ha : P.a = 0) (hb : P.b = 1) : P.toPoly.Monic := by
nontriviality R
rw [Monic, leadingCoeff_of_b_ne_zero ha (hb ▸ one_ne_zero), hb]
#align cubic.monic_of_b_eq_one Cubic.monic_of_b_eq_one
theorem monic_of_b_eq_one' : (toPoly ⟨0, 1, c, d⟩).Monic :=
monic_of_b_eq_one rfl rfl
#align cubic.monic_of_b_eq_one' Cubic.monic_of_b_eq_one'
theorem monic_of_c_eq_one (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 1) : P.toPoly.Monic := by
nontriviality R
rw [Monic, leadingCoeff_of_c_ne_zero ha hb (hc ▸ one_ne_zero), hc]
#align cubic.monic_of_c_eq_one Cubic.monic_of_c_eq_one
theorem monic_of_c_eq_one' : (toPoly ⟨0, 0, 1, d⟩).Monic :=
monic_of_c_eq_one rfl rfl rfl
#align cubic.monic_of_c_eq_one' Cubic.monic_of_c_eq_one'
theorem monic_of_d_eq_one (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) (hd : P.d = 1) :
P.toPoly.Monic := by
rw [Monic, leadingCoeff_of_c_eq_zero ha hb hc, hd]
#align cubic.monic_of_d_eq_one Cubic.monic_of_d_eq_one
theorem monic_of_d_eq_one' : (toPoly ⟨0, 0, 0, 1⟩).Monic :=
monic_of_d_eq_one rfl rfl rfl rfl
#align cubic.monic_of_d_eq_one' Cubic.monic_of_d_eq_one'
end Coeff
/-! ### Degrees -/
section Degree
/-- The equivalence between cubic polynomials and polynomials of degree at most three. -/
@[simps]
def equiv : Cubic R ≃ { p : R[X] // p.degree ≤ 3 } where
toFun P := ⟨P.toPoly, degree_cubic_le⟩
invFun f := ⟨coeff f 3, coeff f 2, coeff f 1, coeff f 0⟩
left_inv P := by ext <;> simp only [Subtype.coe_mk, coeffs]
right_inv f := by
-- Porting note: Added `simp only [Nat.zero_eq, Nat.succ_eq_add_one] <;> ring_nf`
-- There's probably a better way to do this.
ext (_ | _ | _ | _ | n) <;> simp only [Nat.zero_eq, Nat.succ_eq_add_one] <;> ring_nf
<;> try simp only [coeffs]
have h3 : 3 < 4 + n := by linarith only
rw [coeff_eq_zero h3,
(degree_le_iff_coeff_zero (f : R[X]) 3).mp f.2 _ <| WithBot.coe_lt_coe.mpr (by exact h3)]
#align cubic.equiv Cubic.equiv
@[simp]
theorem degree_of_a_ne_zero (ha : P.a ≠ 0) : P.toPoly.degree = 3 :=
degree_cubic ha
#align cubic.degree_of_a_ne_zero Cubic.degree_of_a_ne_zero
@[simp]
theorem degree_of_a_ne_zero' (ha : a ≠ 0) : (toPoly ⟨a, b, c, d⟩).degree = 3 :=
degree_of_a_ne_zero ha
#align cubic.degree_of_a_ne_zero' Cubic.degree_of_a_ne_zero'
theorem degree_of_a_eq_zero (ha : P.a = 0) : P.toPoly.degree ≤ 2 := by
simpa only [of_a_eq_zero ha] using degree_quadratic_le
#align cubic.degree_of_a_eq_zero Cubic.degree_of_a_eq_zero
theorem degree_of_a_eq_zero' : (toPoly ⟨0, b, c, d⟩).degree ≤ 2 :=
degree_of_a_eq_zero rfl
#align cubic.degree_of_a_eq_zero' Cubic.degree_of_a_eq_zero'
@[simp]
theorem degree_of_b_ne_zero (ha : P.a = 0) (hb : P.b ≠ 0) : P.toPoly.degree = 2 := by
rw [of_a_eq_zero ha, degree_quadratic hb]
#align cubic.degree_of_b_ne_zero Cubic.degree_of_b_ne_zero
@[simp]
theorem degree_of_b_ne_zero' (hb : b ≠ 0) : (toPoly ⟨0, b, c, d⟩).degree = 2 :=
degree_of_b_ne_zero rfl hb
#align cubic.degree_of_b_ne_zero' Cubic.degree_of_b_ne_zero'
theorem degree_of_b_eq_zero (ha : P.a = 0) (hb : P.b = 0) : P.toPoly.degree ≤ 1 := by
simpa only [of_b_eq_zero ha hb] using degree_linear_le
#align cubic.degree_of_b_eq_zero Cubic.degree_of_b_eq_zero
theorem degree_of_b_eq_zero' : (toPoly ⟨0, 0, c, d⟩).degree ≤ 1 :=
degree_of_b_eq_zero rfl rfl
#align cubic.degree_of_b_eq_zero' Cubic.degree_of_b_eq_zero'
@[simp]
theorem degree_of_c_ne_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c ≠ 0) : P.toPoly.degree = 1 := by
rw [of_b_eq_zero ha hb, degree_linear hc]
#align cubic.degree_of_c_ne_zero Cubic.degree_of_c_ne_zero
@[simp]
theorem degree_of_c_ne_zero' (hc : c ≠ 0) : (toPoly ⟨0, 0, c, d⟩).degree = 1 :=
degree_of_c_ne_zero rfl rfl hc
#align cubic.degree_of_c_ne_zero' Cubic.degree_of_c_ne_zero'
theorem degree_of_c_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) : P.toPoly.degree ≤ 0 := by
simpa only [of_c_eq_zero ha hb hc] using degree_C_le
#align cubic.degree_of_c_eq_zero Cubic.degree_of_c_eq_zero
theorem degree_of_c_eq_zero' : (toPoly ⟨0, 0, 0, d⟩).degree ≤ 0 :=
degree_of_c_eq_zero rfl rfl rfl
#align cubic.degree_of_c_eq_zero' Cubic.degree_of_c_eq_zero'
@[simp]
theorem degree_of_d_ne_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) (hd : P.d ≠ 0) :
P.toPoly.degree = 0 := by
rw [of_c_eq_zero ha hb hc, degree_C hd]
#align cubic.degree_of_d_ne_zero Cubic.degree_of_d_ne_zero
@[simp]
theorem degree_of_d_ne_zero' (hd : d ≠ 0) : (toPoly ⟨0, 0, 0, d⟩).degree = 0 :=
degree_of_d_ne_zero rfl rfl rfl hd
#align cubic.degree_of_d_ne_zero' Cubic.degree_of_d_ne_zero'
@[simp]
theorem degree_of_d_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) (hd : P.d = 0) :
P.toPoly.degree = ⊥ := by
rw [of_d_eq_zero ha hb hc hd, degree_zero]
#align cubic.degree_of_d_eq_zero Cubic.degree_of_d_eq_zero
-- @[simp] -- porting note (#10618): simp can prove this
theorem degree_of_d_eq_zero' : (⟨0, 0, 0, 0⟩ : Cubic R).toPoly.degree = ⊥ :=
degree_of_d_eq_zero rfl rfl rfl rfl
#align cubic.degree_of_d_eq_zero' Cubic.degree_of_d_eq_zero'
@[simp]
theorem degree_of_zero : (0 : Cubic R).toPoly.degree = ⊥ :=
degree_of_d_eq_zero'
#align cubic.degree_of_zero Cubic.degree_of_zero
@[simp]
theorem natDegree_of_a_ne_zero (ha : P.a ≠ 0) : P.toPoly.natDegree = 3 :=
natDegree_cubic ha
#align cubic.nat_degree_of_a_ne_zero Cubic.natDegree_of_a_ne_zero
@[simp]
theorem natDegree_of_a_ne_zero' (ha : a ≠ 0) : (toPoly ⟨a, b, c, d⟩).natDegree = 3 :=
natDegree_of_a_ne_zero ha
#align cubic.nat_degree_of_a_ne_zero' Cubic.natDegree_of_a_ne_zero'
theorem natDegree_of_a_eq_zero (ha : P.a = 0) : P.toPoly.natDegree ≤ 2 := by
simpa only [of_a_eq_zero ha] using natDegree_quadratic_le
#align cubic.nat_degree_of_a_eq_zero Cubic.natDegree_of_a_eq_zero
theorem natDegree_of_a_eq_zero' : (toPoly ⟨0, b, c, d⟩).natDegree ≤ 2 :=
natDegree_of_a_eq_zero rfl
#align cubic.nat_degree_of_a_eq_zero' Cubic.natDegree_of_a_eq_zero'
@[simp]
theorem natDegree_of_b_ne_zero (ha : P.a = 0) (hb : P.b ≠ 0) : P.toPoly.natDegree = 2 := by
rw [of_a_eq_zero ha, natDegree_quadratic hb]
#align cubic.nat_degree_of_b_ne_zero Cubic.natDegree_of_b_ne_zero
@[simp]
theorem natDegree_of_b_ne_zero' (hb : b ≠ 0) : (toPoly ⟨0, b, c, d⟩).natDegree = 2 :=
natDegree_of_b_ne_zero rfl hb
#align cubic.nat_degree_of_b_ne_zero' Cubic.natDegree_of_b_ne_zero'
theorem natDegree_of_b_eq_zero (ha : P.a = 0) (hb : P.b = 0) : P.toPoly.natDegree ≤ 1 := by
simpa only [of_b_eq_zero ha hb] using natDegree_linear_le
#align cubic.nat_degree_of_b_eq_zero Cubic.natDegree_of_b_eq_zero
theorem natDegree_of_b_eq_zero' : (toPoly ⟨0, 0, c, d⟩).natDegree ≤ 1 :=
natDegree_of_b_eq_zero rfl rfl
#align cubic.nat_degree_of_b_eq_zero' Cubic.natDegree_of_b_eq_zero'
@[simp]
theorem natDegree_of_c_ne_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c ≠ 0) :
P.toPoly.natDegree = 1 := by
rw [of_b_eq_zero ha hb, natDegree_linear hc]
#align cubic.nat_degree_of_c_ne_zero Cubic.natDegree_of_c_ne_zero
@[simp]
theorem natDegree_of_c_ne_zero' (hc : c ≠ 0) : (toPoly ⟨0, 0, c, d⟩).natDegree = 1 :=
natDegree_of_c_ne_zero rfl rfl hc
#align cubic.nat_degree_of_c_ne_zero' Cubic.natDegree_of_c_ne_zero'
@[simp]
theorem natDegree_of_c_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) :
P.toPoly.natDegree = 0 := by
rw [of_c_eq_zero ha hb hc, natDegree_C]
#align cubic.nat_degree_of_c_eq_zero Cubic.natDegree_of_c_eq_zero
-- @[simp] -- porting note (#10618): simp can prove this
theorem natDegree_of_c_eq_zero' : (toPoly ⟨0, 0, 0, d⟩).natDegree = 0 :=
natDegree_of_c_eq_zero rfl rfl rfl
#align cubic.nat_degree_of_c_eq_zero' Cubic.natDegree_of_c_eq_zero'
@[simp]
theorem natDegree_of_zero : (0 : Cubic R).toPoly.natDegree = 0 :=
natDegree_of_c_eq_zero'
#align cubic.nat_degree_of_zero Cubic.natDegree_of_zero
end Degree
/-! ### Map across a homomorphism -/
section Map
variable [Semiring S] {φ : R →+* S}
/-- Map a cubic polynomial across a semiring homomorphism. -/
def map (φ : R →+* S) (P : Cubic R) : Cubic S :=
⟨φ P.a, φ P.b, φ P.c, φ P.d⟩
#align cubic.map Cubic.map
theorem map_toPoly : (map φ P).toPoly = Polynomial.map φ P.toPoly := by
simp only [map, toPoly, map_C, map_X, Polynomial.map_add, Polynomial.map_mul, Polynomial.map_pow]
#align cubic.map_to_poly Cubic.map_toPoly
end Map
end Basic
section Roots
open Multiset
/-! ### Roots over an extension -/
section Extension
variable {P : Cubic R} [CommRing R] [CommRing S] {φ : R →+* S}
/-- The roots of a cubic polynomial. -/
def roots [IsDomain R] (P : Cubic R) : Multiset R :=
P.toPoly.roots
#align cubic.roots Cubic.roots
theorem map_roots [IsDomain S] : (map φ P).roots = (Polynomial.map φ P.toPoly).roots := by
rw [roots, map_toPoly]
#align cubic.map_roots Cubic.map_roots
theorem mem_roots_iff [IsDomain R] (h0 : P.toPoly ≠ 0) (x : R) :
x ∈ P.roots ↔ P.a * x ^ 3 + P.b * x ^ 2 + P.c * x + P.d = 0 := by
rw [roots, mem_roots h0, IsRoot, toPoly]
simp only [eval_C, eval_X, eval_add, eval_mul, eval_pow]
#align cubic.mem_roots_iff Cubic.mem_roots_iff
theorem card_roots_le [IsDomain R] [DecidableEq R] : P.roots.toFinset.card ≤ 3 := by
apply (toFinset_card_le P.toPoly.roots).trans
by_cases hP : P.toPoly = 0
· exact (card_roots' P.toPoly).trans (by rw [hP, natDegree_zero]; exact zero_le 3)
· exact WithBot.coe_le_coe.1 ((card_roots hP).trans degree_cubic_le)
#align cubic.card_roots_le Cubic.card_roots_le
end Extension
variable {P : Cubic F} [Field F] [Field K] {φ : F →+* K} {x y z : K}
/-! ### Roots over a splitting field -/
section Split
theorem splits_iff_card_roots (ha : P.a ≠ 0) :
Splits φ P.toPoly ↔ Multiset.card (map φ P).roots = 3 := by
replace ha : (map φ P).a ≠ 0 := (_root_.map_ne_zero φ).mpr ha
nth_rw 1 [← RingHom.id_comp φ]
rw [roots, ← splits_map_iff, ← map_toPoly, Polynomial.splits_iff_card_roots,
← ((degree_eq_iff_natDegree_eq <| ne_zero_of_a_ne_zero ha).1 <| degree_of_a_ne_zero ha : _ = 3)]
#align cubic.splits_iff_card_roots Cubic.splits_iff_card_roots
theorem splits_iff_roots_eq_three (ha : P.a ≠ 0) :
Splits φ P.toPoly ↔ ∃ x y z : K, (map φ P).roots = {x, y, z} := by
rw [splits_iff_card_roots ha, card_eq_three]
#align cubic.splits_iff_roots_eq_three Cubic.splits_iff_roots_eq_three
theorem eq_prod_three_roots (ha : P.a ≠ 0) (h3 : (map φ P).roots = {x, y, z}) :
(map φ P).toPoly = C (φ P.a) * (X - C x) * (X - C y) * (X - C z) := by
rw [map_toPoly,
eq_prod_roots_of_splits <|
(splits_iff_roots_eq_three ha).mpr <| Exists.intro x <| Exists.intro y <| Exists.intro z h3,
leadingCoeff_of_a_ne_zero ha, ← map_roots, h3]
change C (φ P.a) * ((X - C x) ::ₘ (X - C y) ::ₘ {X - C z}).prod = _
rw [prod_cons, prod_cons, prod_singleton, mul_assoc, mul_assoc]
#align cubic.eq_prod_three_roots Cubic.eq_prod_three_roots
theorem eq_sum_three_roots (ha : P.a ≠ 0) (h3 : (map φ P).roots = {x, y, z}) :
map φ P =
⟨φ P.a, φ P.a * -(x + y + z), φ P.a * (x * y + x * z + y * z), φ P.a * -(x * y * z)⟩ := by
apply_fun @toPoly _ _
· rw [eq_prod_three_roots ha h3, C_mul_prod_X_sub_C_eq]
· exact fun P Q ↦ (toPoly_injective P Q).mp
#align cubic.eq_sum_three_roots Cubic.eq_sum_three_roots
| Mathlib/Algebra/CubicDiscriminant.lean | 539 | 541 | theorem b_eq_three_roots (ha : P.a ≠ 0) (h3 : (map φ P).roots = {x, y, z}) :
φ P.b = φ P.a * -(x + y + z) := by |
injection eq_sum_three_roots ha h3
|
/-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Kenny Lau, Johan Commelin, Mario Carneiro, Kevin Buzzard,
Amelia Livingston, Yury Kudryashov
-/
import Mathlib.Algebra.Group.Submonoid.Basic
import Mathlib.Algebra.Group.Subsemigroup.Operations
import Mathlib.Algebra.Group.Nat
import Mathlib.GroupTheory.GroupAction.Defs
#align_import group_theory.submonoid.operations from "leanprover-community/mathlib"@"cf8e77c636317b059a8ce20807a29cf3772a0640"
/-!
# Operations on `Submonoid`s
In this file we define various operations on `Submonoid`s and `MonoidHom`s.
## Main definitions
### Conversion between multiplicative and additive definitions
* `Submonoid.toAddSubmonoid`, `Submonoid.toAddSubmonoid'`, `AddSubmonoid.toSubmonoid`,
`AddSubmonoid.toSubmonoid'`: convert between multiplicative and additive submonoids of `M`,
`Multiplicative M`, and `Additive M`. These are stated as `OrderIso`s.
### (Commutative) monoid structure on a submonoid
* `Submonoid.toMonoid`, `Submonoid.toCommMonoid`: a submonoid inherits a (commutative) monoid
structure.
### Group actions by submonoids
* `Submonoid.MulAction`, `Submonoid.DistribMulAction`: a submonoid inherits (distributive)
multiplicative actions.
### Operations on submonoids
* `Submonoid.comap`: preimage of a submonoid under a monoid homomorphism as a submonoid of the
domain;
* `Submonoid.map`: image of a submonoid under a monoid homomorphism as a submonoid of the codomain;
* `Submonoid.prod`: product of two submonoids `s : Submonoid M` and `t : Submonoid N` as a submonoid
of `M × N`;
### Monoid homomorphisms between submonoid
* `Submonoid.subtype`: embedding of a submonoid into the ambient monoid.
* `Submonoid.inclusion`: given two submonoids `S`, `T` such that `S ≤ T`, `S.inclusion T` is the
inclusion of `S` into `T` as a monoid homomorphism;
* `MulEquiv.submonoidCongr`: converts a proof of `S = T` into a monoid isomorphism between `S`
and `T`.
* `Submonoid.prodEquiv`: monoid isomorphism between `s.prod t` and `s × t`;
### Operations on `MonoidHom`s
* `MonoidHom.mrange`: range of a monoid homomorphism as a submonoid of the codomain;
* `MonoidHom.mker`: kernel of a monoid homomorphism as a submonoid of the domain;
* `MonoidHom.restrict`: restrict a monoid homomorphism to a submonoid;
* `MonoidHom.codRestrict`: restrict the codomain of a monoid homomorphism to a submonoid;
* `MonoidHom.mrangeRestrict`: restrict a monoid homomorphism to its range;
## Tags
submonoid, range, product, map, comap
-/
assert_not_exists MonoidWithZero
variable {M N P : Type*} [MulOneClass M] [MulOneClass N] [MulOneClass P] (S : Submonoid M)
/-!
### Conversion to/from `Additive`/`Multiplicative`
-/
section
/-- Submonoids of monoid `M` are isomorphic to additive submonoids of `Additive M`. -/
@[simps]
def Submonoid.toAddSubmonoid : Submonoid M ≃o AddSubmonoid (Additive M) where
toFun S :=
{ carrier := Additive.toMul ⁻¹' S
zero_mem' := S.one_mem'
add_mem' := fun ha hb => S.mul_mem' ha hb }
invFun S :=
{ carrier := Additive.ofMul ⁻¹' S
one_mem' := S.zero_mem'
mul_mem' := fun ha hb => S.add_mem' ha hb}
left_inv x := by cases x; rfl
right_inv x := by cases x; rfl
map_rel_iff' := Iff.rfl
#align submonoid.to_add_submonoid Submonoid.toAddSubmonoid
#align submonoid.to_add_submonoid_symm_apply_coe Submonoid.toAddSubmonoid_symm_apply_coe
#align submonoid.to_add_submonoid_apply_coe Submonoid.toAddSubmonoid_apply_coe
/-- Additive submonoids of an additive monoid `Additive M` are isomorphic to submonoids of `M`. -/
abbrev AddSubmonoid.toSubmonoid' : AddSubmonoid (Additive M) ≃o Submonoid M :=
Submonoid.toAddSubmonoid.symm
#align add_submonoid.to_submonoid' AddSubmonoid.toSubmonoid'
theorem Submonoid.toAddSubmonoid_closure (S : Set M) :
Submonoid.toAddSubmonoid (Submonoid.closure S)
= AddSubmonoid.closure (Additive.toMul ⁻¹' S) :=
le_antisymm
(Submonoid.toAddSubmonoid.le_symm_apply.1 <|
Submonoid.closure_le.2 (AddSubmonoid.subset_closure (M := Additive M)))
(AddSubmonoid.closure_le.2 <| Submonoid.subset_closure (M := M))
#align submonoid.to_add_submonoid_closure Submonoid.toAddSubmonoid_closure
theorem AddSubmonoid.toSubmonoid'_closure (S : Set (Additive M)) :
AddSubmonoid.toSubmonoid' (AddSubmonoid.closure S)
= Submonoid.closure (Multiplicative.ofAdd ⁻¹' S) :=
le_antisymm
(AddSubmonoid.toSubmonoid'.le_symm_apply.1 <|
AddSubmonoid.closure_le.2 (Submonoid.subset_closure (M := M)))
(Submonoid.closure_le.2 <| AddSubmonoid.subset_closure (M := Additive M))
#align add_submonoid.to_submonoid'_closure AddSubmonoid.toSubmonoid'_closure
end
section
variable {A : Type*} [AddZeroClass A]
/-- Additive submonoids of an additive monoid `A` are isomorphic to
multiplicative submonoids of `Multiplicative A`. -/
@[simps]
def AddSubmonoid.toSubmonoid : AddSubmonoid A ≃o Submonoid (Multiplicative A) where
toFun S :=
{ carrier := Multiplicative.toAdd ⁻¹' S
one_mem' := S.zero_mem'
mul_mem' := fun ha hb => S.add_mem' ha hb }
invFun S :=
{ carrier := Multiplicative.ofAdd ⁻¹' S
zero_mem' := S.one_mem'
add_mem' := fun ha hb => S.mul_mem' ha hb}
left_inv x := by cases x; rfl
right_inv x := by cases x; rfl
map_rel_iff' := Iff.rfl
#align add_submonoid.to_submonoid AddSubmonoid.toSubmonoid
#align add_submonoid.to_submonoid_symm_apply_coe AddSubmonoid.toSubmonoid_symm_apply_coe
#align add_submonoid.to_submonoid_apply_coe AddSubmonoid.toSubmonoid_apply_coe
/-- Submonoids of a monoid `Multiplicative A` are isomorphic to additive submonoids of `A`. -/
abbrev Submonoid.toAddSubmonoid' : Submonoid (Multiplicative A) ≃o AddSubmonoid A :=
AddSubmonoid.toSubmonoid.symm
#align submonoid.to_add_submonoid' Submonoid.toAddSubmonoid'
theorem AddSubmonoid.toSubmonoid_closure (S : Set A) :
(AddSubmonoid.toSubmonoid) (AddSubmonoid.closure S)
= Submonoid.closure (Multiplicative.toAdd ⁻¹' S) :=
le_antisymm
(AddSubmonoid.toSubmonoid.to_galoisConnection.l_le <|
AddSubmonoid.closure_le.2 <| Submonoid.subset_closure (M := Multiplicative A))
(Submonoid.closure_le.2 <| AddSubmonoid.subset_closure (M := A))
#align add_submonoid.to_submonoid_closure AddSubmonoid.toSubmonoid_closure
theorem Submonoid.toAddSubmonoid'_closure (S : Set (Multiplicative A)) :
Submonoid.toAddSubmonoid' (Submonoid.closure S)
= AddSubmonoid.closure (Additive.ofMul ⁻¹' S) :=
le_antisymm
(Submonoid.toAddSubmonoid'.to_galoisConnection.l_le <|
Submonoid.closure_le.2 <| AddSubmonoid.subset_closure (M := A))
(AddSubmonoid.closure_le.2 <| Submonoid.subset_closure (M := Multiplicative A))
#align submonoid.to_add_submonoid'_closure Submonoid.toAddSubmonoid'_closure
end
namespace Submonoid
variable {F : Type*} [FunLike F M N] [mc : MonoidHomClass F M N]
open Set
/-!
### `comap` and `map`
-/
/-- The preimage of a submonoid along a monoid homomorphism is a submonoid. -/
@[to_additive
"The preimage of an `AddSubmonoid` along an `AddMonoid` homomorphism is an `AddSubmonoid`."]
def comap (f : F) (S : Submonoid N) :
Submonoid M where
carrier := f ⁻¹' S
one_mem' := show f 1 ∈ S by rw [map_one]; exact S.one_mem
mul_mem' ha hb := show f (_ * _) ∈ S by rw [map_mul]; exact S.mul_mem ha hb
#align submonoid.comap Submonoid.comap
#align add_submonoid.comap AddSubmonoid.comap
@[to_additive (attr := simp)]
theorem coe_comap (S : Submonoid N) (f : F) : (S.comap f : Set M) = f ⁻¹' S :=
rfl
#align submonoid.coe_comap Submonoid.coe_comap
#align add_submonoid.coe_comap AddSubmonoid.coe_comap
@[to_additive (attr := simp)]
theorem mem_comap {S : Submonoid N} {f : F} {x : M} : x ∈ S.comap f ↔ f x ∈ S :=
Iff.rfl
#align submonoid.mem_comap Submonoid.mem_comap
#align add_submonoid.mem_comap AddSubmonoid.mem_comap
@[to_additive]
theorem comap_comap (S : Submonoid P) (g : N →* P) (f : M →* N) :
(S.comap g).comap f = S.comap (g.comp f) :=
rfl
#align submonoid.comap_comap Submonoid.comap_comap
#align add_submonoid.comap_comap AddSubmonoid.comap_comap
@[to_additive (attr := simp)]
theorem comap_id (S : Submonoid P) : S.comap (MonoidHom.id P) = S :=
ext (by simp)
#align submonoid.comap_id Submonoid.comap_id
#align add_submonoid.comap_id AddSubmonoid.comap_id
/-- The image of a submonoid along a monoid homomorphism is a submonoid. -/
@[to_additive
"The image of an `AddSubmonoid` along an `AddMonoid` homomorphism is an `AddSubmonoid`."]
def map (f : F) (S : Submonoid M) :
Submonoid N where
carrier := f '' S
one_mem' := ⟨1, S.one_mem, map_one f⟩
mul_mem' := by
rintro _ _ ⟨x, hx, rfl⟩ ⟨y, hy, rfl⟩;
exact ⟨x * y, S.mul_mem hx hy, by rw [map_mul]⟩
#align submonoid.map Submonoid.map
#align add_submonoid.map AddSubmonoid.map
@[to_additive (attr := simp)]
theorem coe_map (f : F) (S : Submonoid M) : (S.map f : Set N) = f '' S :=
rfl
#align submonoid.coe_map Submonoid.coe_map
#align add_submonoid.coe_map AddSubmonoid.coe_map
@[to_additive (attr := simp)]
theorem mem_map {f : F} {S : Submonoid M} {y : N} : y ∈ S.map f ↔ ∃ x ∈ S, f x = y := Iff.rfl
#align submonoid.mem_map Submonoid.mem_map
#align add_submonoid.mem_map AddSubmonoid.mem_map
@[to_additive]
theorem mem_map_of_mem (f : F) {S : Submonoid M} {x : M} (hx : x ∈ S) : f x ∈ S.map f :=
mem_image_of_mem f hx
#align submonoid.mem_map_of_mem Submonoid.mem_map_of_mem
#align add_submonoid.mem_map_of_mem AddSubmonoid.mem_map_of_mem
@[to_additive]
theorem apply_coe_mem_map (f : F) (S : Submonoid M) (x : S) : f x ∈ S.map f :=
mem_map_of_mem f x.2
#align submonoid.apply_coe_mem_map Submonoid.apply_coe_mem_map
#align add_submonoid.apply_coe_mem_map AddSubmonoid.apply_coe_mem_map
@[to_additive]
theorem map_map (g : N →* P) (f : M →* N) : (S.map f).map g = S.map (g.comp f) :=
SetLike.coe_injective <| image_image _ _ _
#align submonoid.map_map Submonoid.map_map
#align add_submonoid.map_map AddSubmonoid.map_map
-- The simpNF linter says that the LHS can be simplified via `Submonoid.mem_map`.
-- However this is a higher priority lemma.
-- https://github.com/leanprover/std4/issues/207
@[to_additive (attr := simp 1100, nolint simpNF)]
theorem mem_map_iff_mem {f : F} (hf : Function.Injective f) {S : Submonoid M} {x : M} :
f x ∈ S.map f ↔ x ∈ S :=
hf.mem_set_image
#align submonoid.mem_map_iff_mem Submonoid.mem_map_iff_mem
#align add_submonoid.mem_map_iff_mem AddSubmonoid.mem_map_iff_mem
@[to_additive]
theorem map_le_iff_le_comap {f : F} {S : Submonoid M} {T : Submonoid N} :
S.map f ≤ T ↔ S ≤ T.comap f :=
image_subset_iff
#align submonoid.map_le_iff_le_comap Submonoid.map_le_iff_le_comap
#align add_submonoid.map_le_iff_le_comap AddSubmonoid.map_le_iff_le_comap
@[to_additive]
theorem gc_map_comap (f : F) : GaloisConnection (map f) (comap f) := fun _ _ => map_le_iff_le_comap
#align submonoid.gc_map_comap Submonoid.gc_map_comap
#align add_submonoid.gc_map_comap AddSubmonoid.gc_map_comap
@[to_additive]
theorem map_le_of_le_comap {T : Submonoid N} {f : F} : S ≤ T.comap f → S.map f ≤ T :=
(gc_map_comap f).l_le
#align submonoid.map_le_of_le_comap Submonoid.map_le_of_le_comap
#align add_submonoid.map_le_of_le_comap AddSubmonoid.map_le_of_le_comap
@[to_additive]
theorem le_comap_of_map_le {T : Submonoid N} {f : F} : S.map f ≤ T → S ≤ T.comap f :=
(gc_map_comap f).le_u
#align submonoid.le_comap_of_map_le Submonoid.le_comap_of_map_le
#align add_submonoid.le_comap_of_map_le AddSubmonoid.le_comap_of_map_le
@[to_additive]
theorem le_comap_map {f : F} : S ≤ (S.map f).comap f :=
(gc_map_comap f).le_u_l _
#align submonoid.le_comap_map Submonoid.le_comap_map
#align add_submonoid.le_comap_map AddSubmonoid.le_comap_map
@[to_additive]
theorem map_comap_le {S : Submonoid N} {f : F} : (S.comap f).map f ≤ S :=
(gc_map_comap f).l_u_le _
#align submonoid.map_comap_le Submonoid.map_comap_le
#align add_submonoid.map_comap_le AddSubmonoid.map_comap_le
@[to_additive]
theorem monotone_map {f : F} : Monotone (map f) :=
(gc_map_comap f).monotone_l
#align submonoid.monotone_map Submonoid.monotone_map
#align add_submonoid.monotone_map AddSubmonoid.monotone_map
@[to_additive]
theorem monotone_comap {f : F} : Monotone (comap f) :=
(gc_map_comap f).monotone_u
#align submonoid.monotone_comap Submonoid.monotone_comap
#align add_submonoid.monotone_comap AddSubmonoid.monotone_comap
@[to_additive (attr := simp)]
theorem map_comap_map {f : F} : ((S.map f).comap f).map f = S.map f :=
(gc_map_comap f).l_u_l_eq_l _
#align submonoid.map_comap_map Submonoid.map_comap_map
#align add_submonoid.map_comap_map AddSubmonoid.map_comap_map
@[to_additive (attr := simp)]
theorem comap_map_comap {S : Submonoid N} {f : F} : ((S.comap f).map f).comap f = S.comap f :=
(gc_map_comap f).u_l_u_eq_u _
#align submonoid.comap_map_comap Submonoid.comap_map_comap
#align add_submonoid.comap_map_comap AddSubmonoid.comap_map_comap
@[to_additive]
theorem map_sup (S T : Submonoid M) (f : F) : (S ⊔ T).map f = S.map f ⊔ T.map f :=
(gc_map_comap f : GaloisConnection (map f) (comap f)).l_sup
#align submonoid.map_sup Submonoid.map_sup
#align add_submonoid.map_sup AddSubmonoid.map_sup
@[to_additive]
theorem map_iSup {ι : Sort*} (f : F) (s : ι → Submonoid M) : (iSup s).map f = ⨆ i, (s i).map f :=
(gc_map_comap f : GaloisConnection (map f) (comap f)).l_iSup
#align submonoid.map_supr Submonoid.map_iSup
#align add_submonoid.map_supr AddSubmonoid.map_iSup
@[to_additive]
theorem comap_inf (S T : Submonoid N) (f : F) : (S ⊓ T).comap f = S.comap f ⊓ T.comap f :=
(gc_map_comap f : GaloisConnection (map f) (comap f)).u_inf
#align submonoid.comap_inf Submonoid.comap_inf
#align add_submonoid.comap_inf AddSubmonoid.comap_inf
@[to_additive]
theorem comap_iInf {ι : Sort*} (f : F) (s : ι → Submonoid N) :
(iInf s).comap f = ⨅ i, (s i).comap f :=
(gc_map_comap f : GaloisConnection (map f) (comap f)).u_iInf
#align submonoid.comap_infi Submonoid.comap_iInf
#align add_submonoid.comap_infi AddSubmonoid.comap_iInf
@[to_additive (attr := simp)]
theorem map_bot (f : F) : (⊥ : Submonoid M).map f = ⊥ :=
(gc_map_comap f).l_bot
#align submonoid.map_bot Submonoid.map_bot
#align add_submonoid.map_bot AddSubmonoid.map_bot
@[to_additive (attr := simp)]
theorem comap_top (f : F) : (⊤ : Submonoid N).comap f = ⊤ :=
(gc_map_comap f).u_top
#align submonoid.comap_top Submonoid.comap_top
#align add_submonoid.comap_top AddSubmonoid.comap_top
@[to_additive (attr := simp)]
theorem map_id (S : Submonoid M) : S.map (MonoidHom.id M) = S :=
ext fun _ => ⟨fun ⟨_, h, rfl⟩ => h, fun h => ⟨_, h, rfl⟩⟩
#align submonoid.map_id Submonoid.map_id
#align add_submonoid.map_id AddSubmonoid.map_id
section GaloisCoinsertion
variable {ι : Type*} {f : F} (hf : Function.Injective f)
/-- `map f` and `comap f` form a `GaloisCoinsertion` when `f` is injective. -/
@[to_additive " `map f` and `comap f` form a `GaloisCoinsertion` when `f` is injective. "]
def gciMapComap : GaloisCoinsertion (map f) (comap f) :=
(gc_map_comap f).toGaloisCoinsertion fun S x => by simp [mem_comap, mem_map, hf.eq_iff]
#align submonoid.gci_map_comap Submonoid.gciMapComap
#align add_submonoid.gci_map_comap AddSubmonoid.gciMapComap
@[to_additive]
theorem comap_map_eq_of_injective (S : Submonoid M) : (S.map f).comap f = S :=
(gciMapComap hf).u_l_eq _
#align submonoid.comap_map_eq_of_injective Submonoid.comap_map_eq_of_injective
#align add_submonoid.comap_map_eq_of_injective AddSubmonoid.comap_map_eq_of_injective
@[to_additive]
theorem comap_surjective_of_injective : Function.Surjective (comap f) :=
(gciMapComap hf).u_surjective
#align submonoid.comap_surjective_of_injective Submonoid.comap_surjective_of_injective
#align add_submonoid.comap_surjective_of_injective AddSubmonoid.comap_surjective_of_injective
@[to_additive]
theorem map_injective_of_injective : Function.Injective (map f) :=
(gciMapComap hf).l_injective
#align submonoid.map_injective_of_injective Submonoid.map_injective_of_injective
#align add_submonoid.map_injective_of_injective AddSubmonoid.map_injective_of_injective
@[to_additive]
theorem comap_inf_map_of_injective (S T : Submonoid M) : (S.map f ⊓ T.map f).comap f = S ⊓ T :=
(gciMapComap hf).u_inf_l _ _
#align submonoid.comap_inf_map_of_injective Submonoid.comap_inf_map_of_injective
#align add_submonoid.comap_inf_map_of_injective AddSubmonoid.comap_inf_map_of_injective
@[to_additive]
theorem comap_iInf_map_of_injective (S : ι → Submonoid M) : (⨅ i, (S i).map f).comap f = iInf S :=
(gciMapComap hf).u_iInf_l _
#align submonoid.comap_infi_map_of_injective Submonoid.comap_iInf_map_of_injective
#align add_submonoid.comap_infi_map_of_injective AddSubmonoid.comap_iInf_map_of_injective
@[to_additive]
theorem comap_sup_map_of_injective (S T : Submonoid M) : (S.map f ⊔ T.map f).comap f = S ⊔ T :=
(gciMapComap hf).u_sup_l _ _
#align submonoid.comap_sup_map_of_injective Submonoid.comap_sup_map_of_injective
#align add_submonoid.comap_sup_map_of_injective AddSubmonoid.comap_sup_map_of_injective
@[to_additive]
theorem comap_iSup_map_of_injective (S : ι → Submonoid M) : (⨆ i, (S i).map f).comap f = iSup S :=
(gciMapComap hf).u_iSup_l _
#align submonoid.comap_supr_map_of_injective Submonoid.comap_iSup_map_of_injective
#align add_submonoid.comap_supr_map_of_injective AddSubmonoid.comap_iSup_map_of_injective
@[to_additive]
theorem map_le_map_iff_of_injective {S T : Submonoid M} : S.map f ≤ T.map f ↔ S ≤ T :=
(gciMapComap hf).l_le_l_iff
#align submonoid.map_le_map_iff_of_injective Submonoid.map_le_map_iff_of_injective
#align add_submonoid.map_le_map_iff_of_injective AddSubmonoid.map_le_map_iff_of_injective
@[to_additive]
theorem map_strictMono_of_injective : StrictMono (map f) :=
(gciMapComap hf).strictMono_l
#align submonoid.map_strict_mono_of_injective Submonoid.map_strictMono_of_injective
#align add_submonoid.map_strict_mono_of_injective AddSubmonoid.map_strictMono_of_injective
end GaloisCoinsertion
section GaloisInsertion
variable {ι : Type*} {f : F} (hf : Function.Surjective f)
/-- `map f` and `comap f` form a `GaloisInsertion` when `f` is surjective. -/
@[to_additive " `map f` and `comap f` form a `GaloisInsertion` when `f` is surjective. "]
def giMapComap : GaloisInsertion (map f) (comap f) :=
(gc_map_comap f).toGaloisInsertion fun S x h =>
let ⟨y, hy⟩ := hf x
mem_map.2 ⟨y, by simp [hy, h]⟩
#align submonoid.gi_map_comap Submonoid.giMapComap
#align add_submonoid.gi_map_comap AddSubmonoid.giMapComap
@[to_additive]
theorem map_comap_eq_of_surjective (S : Submonoid N) : (S.comap f).map f = S :=
(giMapComap hf).l_u_eq _
#align submonoid.map_comap_eq_of_surjective Submonoid.map_comap_eq_of_surjective
#align add_submonoid.map_comap_eq_of_surjective AddSubmonoid.map_comap_eq_of_surjective
@[to_additive]
theorem map_surjective_of_surjective : Function.Surjective (map f) :=
(giMapComap hf).l_surjective
#align submonoid.map_surjective_of_surjective Submonoid.map_surjective_of_surjective
#align add_submonoid.map_surjective_of_surjective AddSubmonoid.map_surjective_of_surjective
@[to_additive]
theorem comap_injective_of_surjective : Function.Injective (comap f) :=
(giMapComap hf).u_injective
#align submonoid.comap_injective_of_surjective Submonoid.comap_injective_of_surjective
#align add_submonoid.comap_injective_of_surjective AddSubmonoid.comap_injective_of_surjective
@[to_additive]
theorem map_inf_comap_of_surjective (S T : Submonoid N) : (S.comap f ⊓ T.comap f).map f = S ⊓ T :=
(giMapComap hf).l_inf_u _ _
#align submonoid.map_inf_comap_of_surjective Submonoid.map_inf_comap_of_surjective
#align add_submonoid.map_inf_comap_of_surjective AddSubmonoid.map_inf_comap_of_surjective
@[to_additive]
theorem map_iInf_comap_of_surjective (S : ι → Submonoid N) : (⨅ i, (S i).comap f).map f = iInf S :=
(giMapComap hf).l_iInf_u _
#align submonoid.map_infi_comap_of_surjective Submonoid.map_iInf_comap_of_surjective
#align add_submonoid.map_infi_comap_of_surjective AddSubmonoid.map_iInf_comap_of_surjective
@[to_additive]
theorem map_sup_comap_of_surjective (S T : Submonoid N) : (S.comap f ⊔ T.comap f).map f = S ⊔ T :=
(giMapComap hf).l_sup_u _ _
#align submonoid.map_sup_comap_of_surjective Submonoid.map_sup_comap_of_surjective
#align add_submonoid.map_sup_comap_of_surjective AddSubmonoid.map_sup_comap_of_surjective
@[to_additive]
theorem map_iSup_comap_of_surjective (S : ι → Submonoid N) : (⨆ i, (S i).comap f).map f = iSup S :=
(giMapComap hf).l_iSup_u _
#align submonoid.map_supr_comap_of_surjective Submonoid.map_iSup_comap_of_surjective
#align add_submonoid.map_supr_comap_of_surjective AddSubmonoid.map_iSup_comap_of_surjective
@[to_additive]
theorem comap_le_comap_iff_of_surjective {S T : Submonoid N} : S.comap f ≤ T.comap f ↔ S ≤ T :=
(giMapComap hf).u_le_u_iff
#align submonoid.comap_le_comap_iff_of_surjective Submonoid.comap_le_comap_iff_of_surjective
#align add_submonoid.comap_le_comap_iff_of_surjective AddSubmonoid.comap_le_comap_iff_of_surjective
@[to_additive]
theorem comap_strictMono_of_surjective : StrictMono (comap f) :=
(giMapComap hf).strictMono_u
#align submonoid.comap_strict_mono_of_surjective Submonoid.comap_strictMono_of_surjective
#align add_submonoid.comap_strict_mono_of_surjective AddSubmonoid.comap_strictMono_of_surjective
end GaloisInsertion
end Submonoid
namespace OneMemClass
variable {A M₁ : Type*} [SetLike A M₁] [One M₁] [hA : OneMemClass A M₁] (S' : A)
/-- A submonoid of a monoid inherits a 1. -/
@[to_additive "An `AddSubmonoid` of an `AddMonoid` inherits a zero."]
instance one : One S' :=
⟨⟨1, OneMemClass.one_mem S'⟩⟩
#align one_mem_class.has_one OneMemClass.one
#align zero_mem_class.has_zero ZeroMemClass.zero
@[to_additive (attr := simp, norm_cast)]
theorem coe_one : ((1 : S') : M₁) = 1 :=
rfl
#align one_mem_class.coe_one OneMemClass.coe_one
#align zero_mem_class.coe_zero ZeroMemClass.coe_zero
variable {S'}
@[to_additive (attr := simp, norm_cast)]
theorem coe_eq_one {x : S'} : (↑x : M₁) = 1 ↔ x = 1 :=
(Subtype.ext_iff.symm : (x : M₁) = (1 : S') ↔ x = 1)
#align one_mem_class.coe_eq_one OneMemClass.coe_eq_one
#align zero_mem_class.coe_eq_zero ZeroMemClass.coe_eq_zero
variable (S')
@[to_additive]
theorem one_def : (1 : S') = ⟨1, OneMemClass.one_mem S'⟩ :=
rfl
#align one_mem_class.one_def OneMemClass.one_def
#align zero_mem_class.zero_def ZeroMemClass.zero_def
end OneMemClass
variable {A : Type*} [SetLike A M] [hA : SubmonoidClass A M] (S' : A)
/-- An `AddSubmonoid` of an `AddMonoid` inherits a scalar multiplication. -/
instance AddSubmonoidClass.nSMul {M} [AddMonoid M] {A : Type*} [SetLike A M]
[AddSubmonoidClass A M] (S : A) : SMul ℕ S :=
⟨fun n a => ⟨n • a.1, nsmul_mem a.2 n⟩⟩
#align add_submonoid_class.has_nsmul AddSubmonoidClass.nSMul
namespace SubmonoidClass
/-- A submonoid of a monoid inherits a power operator. -/
instance nPow {M} [Monoid M] {A : Type*} [SetLike A M] [SubmonoidClass A M] (S : A) : Pow S ℕ :=
⟨fun a n => ⟨a.1 ^ n, pow_mem a.2 n⟩⟩
#align submonoid_class.has_pow SubmonoidClass.nPow
attribute [to_additive existing nSMul] nPow
@[to_additive (attr := simp, norm_cast)]
theorem coe_pow {M} [Monoid M] {A : Type*} [SetLike A M] [SubmonoidClass A M] {S : A} (x : S)
(n : ℕ) : ↑(x ^ n) = (x : M) ^ n :=
rfl
#align submonoid_class.coe_pow SubmonoidClass.coe_pow
#align add_submonoid_class.coe_nsmul AddSubmonoidClass.coe_nsmul
@[to_additive (attr := simp)]
theorem mk_pow {M} [Monoid M] {A : Type*} [SetLike A M] [SubmonoidClass A M] {S : A} (x : M)
(hx : x ∈ S) (n : ℕ) : (⟨x, hx⟩ : S) ^ n = ⟨x ^ n, pow_mem hx n⟩ :=
rfl
#align submonoid_class.mk_pow SubmonoidClass.mk_pow
#align add_submonoid_class.mk_nsmul AddSubmonoidClass.mk_nsmul
-- Prefer subclasses of `Monoid` over subclasses of `SubmonoidClass`.
/-- A submonoid of a unital magma inherits a unital magma structure. -/
@[to_additive
"An `AddSubmonoid` of a unital additive magma inherits a unital additive magma structure."]
instance (priority := 75) toMulOneClass {M : Type*} [MulOneClass M] {A : Type*} [SetLike A M]
[SubmonoidClass A M] (S : A) : MulOneClass S :=
Subtype.coe_injective.mulOneClass (↑) rfl (fun _ _ => rfl)
#align submonoid_class.to_mul_one_class SubmonoidClass.toMulOneClass
#align add_submonoid_class.to_add_zero_class AddSubmonoidClass.toAddZeroClass
-- Prefer subclasses of `Monoid` over subclasses of `SubmonoidClass`.
/-- A submonoid of a monoid inherits a monoid structure. -/
@[to_additive "An `AddSubmonoid` of an `AddMonoid` inherits an `AddMonoid` structure."]
instance (priority := 75) toMonoid {M : Type*} [Monoid M] {A : Type*} [SetLike A M]
[SubmonoidClass A M] (S : A) : Monoid S :=
Subtype.coe_injective.monoid (↑) rfl (fun _ _ => rfl) (fun _ _ => rfl)
#align submonoid_class.to_monoid SubmonoidClass.toMonoid
#align add_submonoid_class.to_add_monoid AddSubmonoidClass.toAddMonoid
-- Prefer subclasses of `Monoid` over subclasses of `SubmonoidClass`.
/-- A submonoid of a `CommMonoid` is a `CommMonoid`. -/
@[to_additive "An `AddSubmonoid` of an `AddCommMonoid` is an `AddCommMonoid`."]
instance (priority := 75) toCommMonoid {M} [CommMonoid M] {A : Type*} [SetLike A M]
[SubmonoidClass A M] (S : A) : CommMonoid S :=
Subtype.coe_injective.commMonoid (↑) rfl (fun _ _ => rfl) fun _ _ => rfl
#align submonoid_class.to_comm_monoid SubmonoidClass.toCommMonoid
#align add_submonoid_class.to_add_comm_monoid AddSubmonoidClass.toAddCommMonoid
/-- The natural monoid hom from a submonoid of monoid `M` to `M`. -/
@[to_additive "The natural monoid hom from an `AddSubmonoid` of `AddMonoid` `M` to `M`."]
def subtype : S' →* M where
toFun := Subtype.val; map_one' := rfl; map_mul' _ _ := by simp
#align submonoid_class.subtype SubmonoidClass.subtype
#align add_submonoid_class.subtype AddSubmonoidClass.subtype
@[to_additive (attr := simp)]
theorem coe_subtype : (SubmonoidClass.subtype S' : S' → M) = Subtype.val :=
rfl
#align submonoid_class.coe_subtype SubmonoidClass.coe_subtype
#align add_submonoid_class.coe_subtype AddSubmonoidClass.coe_subtype
end SubmonoidClass
namespace Submonoid
/-- A submonoid of a monoid inherits a multiplication. -/
@[to_additive "An `AddSubmonoid` of an `AddMonoid` inherits an addition."]
instance mul : Mul S :=
⟨fun a b => ⟨a.1 * b.1, S.mul_mem a.2 b.2⟩⟩
#align submonoid.has_mul Submonoid.mul
#align add_submonoid.has_add AddSubmonoid.add
/-- A submonoid of a monoid inherits a 1. -/
@[to_additive "An `AddSubmonoid` of an `AddMonoid` inherits a zero."]
instance one : One S :=
⟨⟨_, S.one_mem⟩⟩
#align submonoid.has_one Submonoid.one
#align add_submonoid.has_zero AddSubmonoid.zero
@[to_additive (attr := simp, norm_cast)]
theorem coe_mul (x y : S) : (↑(x * y) : M) = ↑x * ↑y :=
rfl
#align submonoid.coe_mul Submonoid.coe_mul
#align add_submonoid.coe_add AddSubmonoid.coe_add
@[to_additive (attr := simp, norm_cast)]
theorem coe_one : ((1 : S) : M) = 1 :=
rfl
#align submonoid.coe_one Submonoid.coe_one
#align add_submonoid.coe_zero AddSubmonoid.coe_zero
@[to_additive (attr := simp)]
lemma mk_eq_one {a : M} {ha} : (⟨a, ha⟩ : S) = 1 ↔ a = 1 := by simp [← SetLike.coe_eq_coe]
@[to_additive (attr := simp)]
theorem mk_mul_mk (x y : M) (hx : x ∈ S) (hy : y ∈ S) :
(⟨x, hx⟩ : S) * ⟨y, hy⟩ = ⟨x * y, S.mul_mem hx hy⟩ :=
rfl
#align submonoid.mk_mul_mk Submonoid.mk_mul_mk
#align add_submonoid.mk_add_mk AddSubmonoid.mk_add_mk
@[to_additive]
theorem mul_def (x y : S) : x * y = ⟨x * y, S.mul_mem x.2 y.2⟩ :=
rfl
#align submonoid.mul_def Submonoid.mul_def
#align add_submonoid.add_def AddSubmonoid.add_def
@[to_additive]
theorem one_def : (1 : S) = ⟨1, S.one_mem⟩ :=
rfl
#align submonoid.one_def Submonoid.one_def
#align add_submonoid.zero_def AddSubmonoid.zero_def
/-- A submonoid of a unital magma inherits a unital magma structure. -/
@[to_additive
"An `AddSubmonoid` of a unital additive magma inherits a unital additive magma structure."]
instance toMulOneClass {M : Type*} [MulOneClass M] (S : Submonoid M) : MulOneClass S :=
Subtype.coe_injective.mulOneClass (↑) rfl fun _ _ => rfl
#align submonoid.to_mul_one_class Submonoid.toMulOneClass
#align add_submonoid.to_add_zero_class AddSubmonoid.toAddZeroClass
@[to_additive]
protected theorem pow_mem {M : Type*} [Monoid M] (S : Submonoid M) {x : M} (hx : x ∈ S) (n : ℕ) :
x ^ n ∈ S :=
pow_mem hx n
#align submonoid.pow_mem Submonoid.pow_mem
#align add_submonoid.nsmul_mem AddSubmonoid.nsmul_mem
-- Porting note: coe_pow removed, syntactic tautology
#noalign submonoid.coe_pow
#noalign add_submonoid.coe_smul
/-- A submonoid of a monoid inherits a monoid structure. -/
@[to_additive "An `AddSubmonoid` of an `AddMonoid` inherits an `AddMonoid` structure."]
instance toMonoid {M : Type*} [Monoid M] (S : Submonoid M) : Monoid S :=
Subtype.coe_injective.monoid (↑) rfl (fun _ _ => rfl) fun _ _ => rfl
#align submonoid.to_monoid Submonoid.toMonoid
#align add_submonoid.to_add_monoid AddSubmonoid.toAddMonoid
/-- A submonoid of a `CommMonoid` is a `CommMonoid`. -/
@[to_additive "An `AddSubmonoid` of an `AddCommMonoid` is an `AddCommMonoid`."]
instance toCommMonoid {M} [CommMonoid M] (S : Submonoid M) : CommMonoid S :=
Subtype.coe_injective.commMonoid (↑) rfl (fun _ _ => rfl) fun _ _ => rfl
#align submonoid.to_comm_monoid Submonoid.toCommMonoid
#align add_submonoid.to_add_comm_monoid AddSubmonoid.toAddCommMonoid
/-- The natural monoid hom from a submonoid of monoid `M` to `M`. -/
@[to_additive "The natural monoid hom from an `AddSubmonoid` of `AddMonoid` `M` to `M`."]
def subtype : S →* M where
toFun := Subtype.val; map_one' := rfl; map_mul' _ _ := by simp
#align submonoid.subtype Submonoid.subtype
#align add_submonoid.subtype AddSubmonoid.subtype
@[to_additive (attr := simp)]
theorem coe_subtype : ⇑S.subtype = Subtype.val :=
rfl
#align submonoid.coe_subtype Submonoid.coe_subtype
#align add_submonoid.coe_subtype AddSubmonoid.coe_subtype
/-- The top submonoid is isomorphic to the monoid. -/
@[to_additive (attr := simps) "The top additive submonoid is isomorphic to the additive monoid."]
def topEquiv : (⊤ : Submonoid M) ≃* M where
toFun x := x
invFun x := ⟨x, mem_top x⟩
left_inv x := x.eta _
right_inv _ := rfl
map_mul' _ _ := rfl
#align submonoid.top_equiv Submonoid.topEquiv
#align add_submonoid.top_equiv AddSubmonoid.topEquiv
#align submonoid.top_equiv_apply Submonoid.topEquiv_apply
#align submonoid.top_equiv_symm_apply_coe Submonoid.topEquiv_symm_apply_coe
@[to_additive (attr := simp)]
theorem topEquiv_toMonoidHom : ((topEquiv : _ ≃* M) : _ →* M) = (⊤ : Submonoid M).subtype :=
rfl
#align submonoid.top_equiv_to_monoid_hom Submonoid.topEquiv_toMonoidHom
#align add_submonoid.top_equiv_to_add_monoid_hom AddSubmonoid.topEquiv_toAddMonoidHom
/-- A subgroup is isomorphic to its image under an injective function. If you have an isomorphism,
use `MulEquiv.submonoidMap` for better definitional equalities. -/
@[to_additive "An additive subgroup is isomorphic to its image under an injective function. If you
have an isomorphism, use `AddEquiv.addSubmonoidMap` for better definitional equalities."]
noncomputable def equivMapOfInjective (f : M →* N) (hf : Function.Injective f) : S ≃* S.map f :=
{ Equiv.Set.image f S hf with map_mul' := fun _ _ => Subtype.ext (f.map_mul _ _) }
#align submonoid.equiv_map_of_injective Submonoid.equivMapOfInjective
#align add_submonoid.equiv_map_of_injective AddSubmonoid.equivMapOfInjective
@[to_additive (attr := simp)]
theorem coe_equivMapOfInjective_apply (f : M →* N) (hf : Function.Injective f) (x : S) :
(equivMapOfInjective S f hf x : N) = f x :=
rfl
#align submonoid.coe_equiv_map_of_injective_apply Submonoid.coe_equivMapOfInjective_apply
#align add_submonoid.coe_equiv_map_of_injective_apply AddSubmonoid.coe_equivMapOfInjective_apply
@[to_additive (attr := simp)]
theorem closure_closure_coe_preimage {s : Set M} : closure (((↑) : closure s → M) ⁻¹' s) = ⊤ :=
eq_top_iff.2 fun x =>
Subtype.recOn x fun x hx _ => by
refine closure_induction' (p := fun y hy ↦ ⟨y, hy⟩ ∈ closure (((↑) : closure s → M) ⁻¹' s))
(fun g hg => subset_closure hg) ?_ (fun g₁ g₂ hg₁ hg₂ => ?_) hx
· exact Submonoid.one_mem _
· exact Submonoid.mul_mem _
#align submonoid.closure_closure_coe_preimage Submonoid.closure_closure_coe_preimage
#align add_submonoid.closure_closure_coe_preimage AddSubmonoid.closure_closure_coe_preimage
/-- Given submonoids `s`, `t` of monoids `M`, `N` respectively, `s × t` as a submonoid
of `M × N`. -/
@[to_additive prod
"Given `AddSubmonoid`s `s`, `t` of `AddMonoid`s `A`, `B` respectively, `s × t`
as an `AddSubmonoid` of `A × B`."]
def prod (s : Submonoid M) (t : Submonoid N) :
Submonoid (M × N) where
carrier := s ×ˢ t
one_mem' := ⟨s.one_mem, t.one_mem⟩
mul_mem' hp hq := ⟨s.mul_mem hp.1 hq.1, t.mul_mem hp.2 hq.2⟩
#align submonoid.prod Submonoid.prod
#align add_submonoid.prod AddSubmonoid.prod
@[to_additive coe_prod]
theorem coe_prod (s : Submonoid M) (t : Submonoid N) :
(s.prod t : Set (M × N)) = (s : Set M) ×ˢ (t : Set N) :=
rfl
#align submonoid.coe_prod Submonoid.coe_prod
#align add_submonoid.coe_prod AddSubmonoid.coe_prod
@[to_additive mem_prod]
theorem mem_prod {s : Submonoid M} {t : Submonoid N} {p : M × N} :
p ∈ s.prod t ↔ p.1 ∈ s ∧ p.2 ∈ t :=
Iff.rfl
#align submonoid.mem_prod Submonoid.mem_prod
#align add_submonoid.mem_prod AddSubmonoid.mem_prod
@[to_additive prod_mono]
theorem prod_mono {s₁ s₂ : Submonoid M} {t₁ t₂ : Submonoid N} (hs : s₁ ≤ s₂) (ht : t₁ ≤ t₂) :
s₁.prod t₁ ≤ s₂.prod t₂ :=
Set.prod_mono hs ht
#align submonoid.prod_mono Submonoid.prod_mono
#align add_submonoid.prod_mono AddSubmonoid.prod_mono
@[to_additive prod_top]
theorem prod_top (s : Submonoid M) : s.prod (⊤ : Submonoid N) = s.comap (MonoidHom.fst M N) :=
ext fun x => by simp [mem_prod, MonoidHom.coe_fst]
#align submonoid.prod_top Submonoid.prod_top
#align add_submonoid.prod_top AddSubmonoid.prod_top
@[to_additive top_prod]
theorem top_prod (s : Submonoid N) : (⊤ : Submonoid M).prod s = s.comap (MonoidHom.snd M N) :=
ext fun x => by simp [mem_prod, MonoidHom.coe_snd]
#align submonoid.top_prod Submonoid.top_prod
#align add_submonoid.top_prod AddSubmonoid.top_prod
@[to_additive (attr := simp) top_prod_top]
theorem top_prod_top : (⊤ : Submonoid M).prod (⊤ : Submonoid N) = ⊤ :=
(top_prod _).trans <| comap_top _
#align submonoid.top_prod_top Submonoid.top_prod_top
#align add_submonoid.top_prod_top AddSubmonoid.top_prod_top
@[to_additive bot_prod_bot]
theorem bot_prod_bot : (⊥ : Submonoid M).prod (⊥ : Submonoid N) = ⊥ :=
SetLike.coe_injective <| by simp [coe_prod, Prod.one_eq_mk]
#align submonoid.bot_prod_bot Submonoid.bot_prod_bot
-- Porting note: to_additive translated the name incorrectly in mathlib 3.
#align add_submonoid.bot_sum_bot AddSubmonoid.bot_prod_bot
/-- The product of submonoids is isomorphic to their product as monoids. -/
@[to_additive prodEquiv
"The product of additive submonoids is isomorphic to their product as additive monoids"]
def prodEquiv (s : Submonoid M) (t : Submonoid N) : s.prod t ≃* s × t :=
{ (Equiv.Set.prod (s : Set M) (t : Set N)) with
map_mul' := fun _ _ => rfl }
#align submonoid.prod_equiv Submonoid.prodEquiv
#align add_submonoid.prod_equiv AddSubmonoid.prodEquiv
open MonoidHom
@[to_additive]
theorem map_inl (s : Submonoid M) : s.map (inl M N) = s.prod ⊥ :=
ext fun p =>
⟨fun ⟨_, hx, hp⟩ => hp ▸ ⟨hx, Set.mem_singleton 1⟩, fun ⟨hps, hp1⟩ =>
⟨p.1, hps, Prod.ext rfl <| (Set.eq_of_mem_singleton hp1).symm⟩⟩
#align submonoid.map_inl Submonoid.map_inl
#align add_submonoid.map_inl AddSubmonoid.map_inl
@[to_additive]
theorem map_inr (s : Submonoid N) : s.map (inr M N) = prod ⊥ s :=
ext fun p =>
⟨fun ⟨_, hx, hp⟩ => hp ▸ ⟨Set.mem_singleton 1, hx⟩, fun ⟨hp1, hps⟩ =>
⟨p.2, hps, Prod.ext (Set.eq_of_mem_singleton hp1).symm rfl⟩⟩
#align submonoid.map_inr Submonoid.map_inr
#align add_submonoid.map_inr AddSubmonoid.map_inr
@[to_additive (attr := simp) prod_bot_sup_bot_prod]
theorem prod_bot_sup_bot_prod (s : Submonoid M) (t : Submonoid N) :
(prod s ⊥) ⊔ (prod ⊥ t) = prod s t :=
(le_antisymm (sup_le (prod_mono (le_refl s) bot_le) (prod_mono bot_le (le_refl t))))
fun p hp => Prod.fst_mul_snd p ▸ mul_mem
((le_sup_left : prod s ⊥ ≤ prod s ⊥ ⊔ prod ⊥ t) ⟨hp.1, Set.mem_singleton 1⟩)
((le_sup_right : prod ⊥ t ≤ prod s ⊥ ⊔ prod ⊥ t) ⟨Set.mem_singleton 1, hp.2⟩)
#align submonoid.prod_bot_sup_bot_prod Submonoid.prod_bot_sup_bot_prod
#align add_submonoid.prod_bot_sup_bot_prod AddSubmonoid.prod_bot_sup_bot_prod
@[to_additive]
theorem mem_map_equiv {f : M ≃* N} {K : Submonoid M} {x : N} :
x ∈ K.map f.toMonoidHom ↔ f.symm x ∈ K :=
Set.mem_image_equiv
#align submonoid.mem_map_equiv Submonoid.mem_map_equiv
#align add_submonoid.mem_map_equiv AddSubmonoid.mem_map_equiv
@[to_additive]
theorem map_equiv_eq_comap_symm (f : M ≃* N) (K : Submonoid M) :
K.map f.toMonoidHom = K.comap f.symm.toMonoidHom :=
SetLike.coe_injective (f.toEquiv.image_eq_preimage K)
#align submonoid.map_equiv_eq_comap_symm Submonoid.map_equiv_eq_comap_symm
#align add_submonoid.map_equiv_eq_comap_symm AddSubmonoid.map_equiv_eq_comap_symm
@[to_additive]
theorem comap_equiv_eq_map_symm (f : N ≃* M) (K : Submonoid M) :
K.comap f = K.map f.symm :=
(map_equiv_eq_comap_symm f.symm K).symm
#align submonoid.comap_equiv_eq_map_symm Submonoid.comap_equiv_eq_map_symm
#align add_submonoid.comap_equiv_eq_map_symm AddSubmonoid.comap_equiv_eq_map_symm
@[to_additive (attr := simp)]
theorem map_equiv_top (f : M ≃* N) : (⊤ : Submonoid M).map f = ⊤ :=
SetLike.coe_injective <| Set.image_univ.trans f.surjective.range_eq
#align submonoid.map_equiv_top Submonoid.map_equiv_top
#align add_submonoid.map_equiv_top AddSubmonoid.map_equiv_top
@[to_additive le_prod_iff]
theorem le_prod_iff {s : Submonoid M} {t : Submonoid N} {u : Submonoid (M × N)} :
u ≤ s.prod t ↔ u.map (fst M N) ≤ s ∧ u.map (snd M N) ≤ t := by
constructor
· intro h
constructor
· rintro x ⟨⟨y1, y2⟩, ⟨hy1, rfl⟩⟩
exact (h hy1).1
· rintro x ⟨⟨y1, y2⟩, ⟨hy1, rfl⟩⟩
exact (h hy1).2
· rintro ⟨hH, hK⟩ ⟨x1, x2⟩ h
exact ⟨hH ⟨_, h, rfl⟩, hK ⟨_, h, rfl⟩⟩
#align submonoid.le_prod_iff Submonoid.le_prod_iff
#align add_submonoid.le_prod_iff AddSubmonoid.le_prod_iff
@[to_additive prod_le_iff]
theorem prod_le_iff {s : Submonoid M} {t : Submonoid N} {u : Submonoid (M × N)} :
s.prod t ≤ u ↔ s.map (inl M N) ≤ u ∧ t.map (inr M N) ≤ u := by
constructor
· intro h
constructor
· rintro _ ⟨x, hx, rfl⟩
apply h
exact ⟨hx, Submonoid.one_mem _⟩
· rintro _ ⟨x, hx, rfl⟩
apply h
exact ⟨Submonoid.one_mem _, hx⟩
· rintro ⟨hH, hK⟩ ⟨x1, x2⟩ ⟨h1, h2⟩
have h1' : inl M N x1 ∈ u := by
apply hH
simpa using h1
have h2' : inr M N x2 ∈ u := by
apply hK
simpa using h2
simpa using Submonoid.mul_mem _ h1' h2'
#align submonoid.prod_le_iff Submonoid.prod_le_iff
#align add_submonoid.prod_le_iff AddSubmonoid.prod_le_iff
end Submonoid
namespace MonoidHom
variable {F : Type*} [FunLike F M N] [mc : MonoidHomClass F M N]
open Submonoid
library_note "range copy pattern"/--
For many categories (monoids, modules, rings, ...) the set-theoretic image of a morphism `f` is
a subobject of the codomain. When this is the case, it is useful to define the range of a morphism
in such a way that the underlying carrier set of the range subobject is definitionally
`Set.range f`. In particular this means that the types `↥(Set.range f)` and `↥f.range` are
interchangeable without proof obligations.
A convenient candidate definition for range which is mathematically correct is `map ⊤ f`, just as
`Set.range` could have been defined as `f '' Set.univ`. However, this lacks the desired definitional
convenience, in that it both does not match `Set.range`, and that it introduces a redundant `x ∈ ⊤`
term which clutters proofs. In such a case one may resort to the `copy`
pattern. A `copy` function converts the definitional problem for the carrier set of a subobject
into a one-off propositional proof obligation which one discharges while writing the definition of
the definitionally convenient range (the parameter `hs` in the example below).
A good example is the case of a morphism of monoids. A convenient definition for
`MonoidHom.mrange` would be `(⊤ : Submonoid M).map f`. However since this lacks the required
definitional convenience, we first define `Submonoid.copy` as follows:
```lean
protected def copy (S : Submonoid M) (s : Set M) (hs : s = S) : Submonoid M :=
{ carrier := s,
one_mem' := hs.symm ▸ S.one_mem',
mul_mem' := hs.symm ▸ S.mul_mem' }
```
and then finally define:
```lean
def mrange (f : M →* N) : Submonoid N :=
((⊤ : Submonoid M).map f).copy (Set.range f) Set.image_univ.symm
```
-/
/-- The range of a monoid homomorphism is a submonoid. See Note [range copy pattern]. -/
@[to_additive "The range of an `AddMonoidHom` is an `AddSubmonoid`."]
def mrange (f : F) : Submonoid N :=
((⊤ : Submonoid M).map f).copy (Set.range f) Set.image_univ.symm
#align monoid_hom.mrange MonoidHom.mrange
#align add_monoid_hom.mrange AddMonoidHom.mrange
@[to_additive (attr := simp)]
theorem coe_mrange (f : F) : (mrange f : Set N) = Set.range f :=
rfl
#align monoid_hom.coe_mrange MonoidHom.coe_mrange
#align add_monoid_hom.coe_mrange AddMonoidHom.coe_mrange
@[to_additive (attr := simp)]
theorem mem_mrange {f : F} {y : N} : y ∈ mrange f ↔ ∃ x, f x = y :=
Iff.rfl
#align monoid_hom.mem_mrange MonoidHom.mem_mrange
#align add_monoid_hom.mem_mrange AddMonoidHom.mem_mrange
@[to_additive]
theorem mrange_eq_map (f : F) : mrange f = (⊤ : Submonoid M).map f :=
Submonoid.copy_eq _
#align monoid_hom.mrange_eq_map MonoidHom.mrange_eq_map
#align add_monoid_hom.mrange_eq_map AddMonoidHom.mrange_eq_map
@[to_additive (attr := simp)]
theorem mrange_id : mrange (MonoidHom.id M) = ⊤ := by
simp [mrange_eq_map]
@[to_additive]
theorem map_mrange (g : N →* P) (f : M →* N) : f.mrange.map g = mrange (comp g f) := by
simpa only [mrange_eq_map] using (⊤ : Submonoid M).map_map g f
#align monoid_hom.map_mrange MonoidHom.map_mrange
#align add_monoid_hom.map_mrange AddMonoidHom.map_mrange
@[to_additive]
theorem mrange_top_iff_surjective {f : F} : mrange f = (⊤ : Submonoid N) ↔ Function.Surjective f :=
SetLike.ext'_iff.trans <| Iff.trans (by rw [coe_mrange, coe_top]) Set.range_iff_surjective
#align monoid_hom.mrange_top_iff_surjective MonoidHom.mrange_top_iff_surjective
#align add_monoid_hom.mrange_top_iff_surjective AddMonoidHom.mrange_top_iff_surjective
/-- The range of a surjective monoid hom is the whole of the codomain. -/
@[to_additive (attr := simp)
"The range of a surjective `AddMonoid` hom is the whole of the codomain."]
theorem mrange_top_of_surjective (f : F) (hf : Function.Surjective f) :
mrange f = (⊤ : Submonoid N) :=
mrange_top_iff_surjective.2 hf
#align monoid_hom.mrange_top_of_surjective MonoidHom.mrange_top_of_surjective
#align add_monoid_hom.mrange_top_of_surjective AddMonoidHom.mrange_top_of_surjective
@[to_additive]
theorem mclosure_preimage_le (f : F) (s : Set N) : closure (f ⁻¹' s) ≤ (closure s).comap f :=
closure_le.2 fun _ hx => SetLike.mem_coe.2 <| mem_comap.2 <| subset_closure hx
#align monoid_hom.mclosure_preimage_le MonoidHom.mclosure_preimage_le
#align add_monoid_hom.mclosure_preimage_le AddMonoidHom.mclosure_preimage_le
/-- The image under a monoid hom of the submonoid generated by a set equals the submonoid generated
by the image of the set. -/
@[to_additive
"The image under an `AddMonoid` hom of the `AddSubmonoid` generated by a set equals
the `AddSubmonoid` generated by the image of the set."]
theorem map_mclosure (f : F) (s : Set M) : (closure s).map f = closure (f '' s) :=
le_antisymm
(map_le_iff_le_comap.2 <|
le_trans (closure_mono <| Set.subset_preimage_image _ _) (mclosure_preimage_le _ _))
(closure_le.2 <| Set.image_subset _ subset_closure)
#align monoid_hom.map_mclosure MonoidHom.map_mclosure
#align add_monoid_hom.map_mclosure AddMonoidHom.map_mclosure
@[to_additive (attr := simp)]
theorem mclosure_range (f : F) : closure (Set.range f) = mrange f := by
rw [← Set.image_univ, ← map_mclosure, mrange_eq_map, closure_univ]
/-- Restriction of a monoid hom to a submonoid of the domain. -/
@[to_additive "Restriction of an `AddMonoid` hom to an `AddSubmonoid` of the domain."]
def restrict {N S : Type*} [MulOneClass N] [SetLike S M] [SubmonoidClass S M] (f : M →* N)
(s : S) : s →* N :=
f.comp (SubmonoidClass.subtype _)
#align monoid_hom.restrict MonoidHom.restrict
#align add_monoid_hom.restrict AddMonoidHom.restrict
@[to_additive (attr := simp)]
theorem restrict_apply {N S : Type*} [MulOneClass N] [SetLike S M] [SubmonoidClass S M]
(f : M →* N) (s : S) (x : s) : f.restrict s x = f x :=
rfl
#align monoid_hom.restrict_apply MonoidHom.restrict_apply
#align add_monoid_hom.restrict_apply AddMonoidHom.restrict_apply
@[to_additive (attr := simp)]
theorem restrict_mrange (f : M →* N) : mrange (f.restrict S) = S.map f := by
simp [SetLike.ext_iff]
#align monoid_hom.restrict_mrange MonoidHom.restrict_mrange
#align add_monoid_hom.restrict_mrange AddMonoidHom.restrict_mrange
/-- Restriction of a monoid hom to a submonoid of the codomain. -/
@[to_additive (attr := simps apply)
"Restriction of an `AddMonoid` hom to an `AddSubmonoid` of the codomain."]
def codRestrict {S} [SetLike S N] [SubmonoidClass S N] (f : M →* N) (s : S) (h : ∀ x, f x ∈ s) :
M →* s where
toFun n := ⟨f n, h n⟩
map_one' := Subtype.eq f.map_one
map_mul' x y := Subtype.eq (f.map_mul x y)
#align monoid_hom.cod_restrict MonoidHom.codRestrict
#align add_monoid_hom.cod_restrict AddMonoidHom.codRestrict
#align monoid_hom.cod_restrict_apply MonoidHom.codRestrict_apply
/-- Restriction of a monoid hom to its range interpreted as a submonoid. -/
@[to_additive "Restriction of an `AddMonoid` hom to its range interpreted as a submonoid."]
def mrangeRestrict {N} [MulOneClass N] (f : M →* N) : M →* (mrange f) :=
(f.codRestrict (mrange f)) fun x => ⟨x, rfl⟩
#align monoid_hom.mrange_restrict MonoidHom.mrangeRestrict
#align add_monoid_hom.mrange_restrict AddMonoidHom.mrangeRestrict
@[to_additive (attr := simp)]
theorem coe_mrangeRestrict {N} [MulOneClass N] (f : M →* N) (x : M) :
(f.mrangeRestrict x : N) = f x :=
rfl
#align monoid_hom.coe_mrange_restrict MonoidHom.coe_mrangeRestrict
#align add_monoid_hom.coe_mrange_restrict AddMonoidHom.coe_mrangeRestrict
@[to_additive]
theorem mrangeRestrict_surjective (f : M →* N) : Function.Surjective f.mrangeRestrict :=
fun ⟨_, ⟨x, rfl⟩⟩ => ⟨x, rfl⟩
#align monoid_hom.mrange_restrict_surjective MonoidHom.mrangeRestrict_surjective
#align add_monoid_hom.mrange_restrict_surjective AddMonoidHom.mrangeRestrict_surjective
/-- The multiplicative kernel of a monoid hom is the submonoid of elements `x : G` such
that `f x = 1` -/
@[to_additive
"The additive kernel of an `AddMonoid` hom is the `AddSubmonoid` of
elements such that `f x = 0`"]
def mker (f : F) : Submonoid M :=
(⊥ : Submonoid N).comap f
#align monoid_hom.mker MonoidHom.mker
#align add_monoid_hom.mker AddMonoidHom.mker
@[to_additive]
theorem mem_mker (f : F) {x : M} : x ∈ mker f ↔ f x = 1 :=
Iff.rfl
#align monoid_hom.mem_mker MonoidHom.mem_mker
#align add_monoid_hom.mem_mker AddMonoidHom.mem_mker
@[to_additive]
theorem coe_mker (f : F) : (mker f : Set M) = (f : M → N) ⁻¹' {1} :=
rfl
#align monoid_hom.coe_mker MonoidHom.coe_mker
#align add_monoid_hom.coe_mker AddMonoidHom.coe_mker
@[to_additive]
instance decidableMemMker [DecidableEq N] (f : F) : DecidablePred (· ∈ mker f) := fun x =>
decidable_of_iff (f x = 1) (mem_mker f)
#align monoid_hom.decidable_mem_mker MonoidHom.decidableMemMker
#align add_monoid_hom.decidable_mem_mker AddMonoidHom.decidableMemMker
@[to_additive]
theorem comap_mker (g : N →* P) (f : M →* N) : g.mker.comap f = mker (comp g f) :=
rfl
#align monoid_hom.comap_mker MonoidHom.comap_mker
#align add_monoid_hom.comap_mker AddMonoidHom.comap_mker
@[to_additive (attr := simp)]
theorem comap_bot' (f : F) : (⊥ : Submonoid N).comap f = mker f :=
rfl
#align monoid_hom.comap_bot' MonoidHom.comap_bot'
#align add_monoid_hom.comap_bot' AddMonoidHom.comap_bot'
@[to_additive (attr := simp)]
theorem restrict_mker (f : M →* N) : mker (f.restrict S) = f.mker.comap S.subtype :=
rfl
#align monoid_hom.restrict_mker MonoidHom.restrict_mker
#align add_monoid_hom.restrict_mker AddMonoidHom.restrict_mker
@[to_additive]
theorem mrangeRestrict_mker (f : M →* N) : mker (mrangeRestrict f) = mker f := by
ext x
change (⟨f x, _⟩ : mrange f) = ⟨1, _⟩ ↔ f x = 1
simp
#align monoid_hom.range_restrict_mker MonoidHom.mrangeRestrict_mker
#align add_monoid_hom.range_restrict_mker AddMonoidHom.mrangeRestrict_mker
@[to_additive (attr := simp)]
theorem mker_one : mker (1 : M →* N) = ⊤ := by
ext
simp [mem_mker]
#align monoid_hom.mker_one MonoidHom.mker_one
#align add_monoid_hom.mker_zero AddMonoidHom.mker_zero
@[to_additive prod_map_comap_prod']
theorem prod_map_comap_prod' {M' : Type*} {N' : Type*} [MulOneClass M'] [MulOneClass N']
(f : M →* N) (g : M' →* N') (S : Submonoid N) (S' : Submonoid N') :
(S.prod S').comap (prodMap f g) = (S.comap f).prod (S'.comap g) :=
SetLike.coe_injective <| Set.preimage_prod_map_prod f g _ _
#align monoid_hom.prod_map_comap_prod' MonoidHom.prod_map_comap_prod'
-- Porting note: to_additive translated the name incorrectly in mathlib 3.
#align add_monoid_hom.sum_map_comap_sum' AddMonoidHom.prod_map_comap_prod'
@[to_additive mker_prod_map]
theorem mker_prod_map {M' : Type*} {N' : Type*} [MulOneClass M'] [MulOneClass N'] (f : M →* N)
(g : M' →* N') : mker (prodMap f g) = f.mker.prod (mker g) := by
rw [← comap_bot', ← comap_bot', ← comap_bot', ← prod_map_comap_prod', bot_prod_bot]
#align monoid_hom.mker_prod_map MonoidHom.mker_prod_map
-- Porting note: to_additive translated the name incorrectly in mathlib 3.
#align add_monoid_hom.mker_sum_map AddMonoidHom.mker_prod_map
@[to_additive (attr := simp)]
theorem mker_inl : mker (inl M N) = ⊥ := by
ext x
simp [mem_mker]
#align monoid_hom.mker_inl MonoidHom.mker_inl
#align add_monoid_hom.mker_inl AddMonoidHom.mker_inl
@[to_additive (attr := simp)]
theorem mker_inr : mker (inr M N) = ⊥ := by
ext x
simp [mem_mker]
#align monoid_hom.mker_inr MonoidHom.mker_inr
#align add_monoid_hom.mker_inr AddMonoidHom.mker_inr
@[to_additive (attr := simp)]
lemma mker_fst : mker (fst M N) = .prod ⊥ ⊤ := SetLike.ext fun _ => (and_true_iff _).symm
@[to_additive (attr := simp)]
lemma mker_snd : mker (snd M N) = .prod ⊤ ⊥ := SetLike.ext fun _ => (true_and_iff _).symm
/-- The `MonoidHom` from the preimage of a submonoid to itself. -/
@[to_additive (attr := simps)
"the `AddMonoidHom` from the preimage of an additive submonoid to itself."]
def submonoidComap (f : M →* N) (N' : Submonoid N) :
N'.comap f →* N' where
toFun x := ⟨f x, x.2⟩
map_one' := Subtype.eq f.map_one
map_mul' x y := Subtype.eq (f.map_mul x y)
#align monoid_hom.submonoid_comap MonoidHom.submonoidComap
#align add_monoid_hom.add_submonoid_comap AddMonoidHom.addSubmonoidComap
#align monoid_hom.submonoid_comap_apply_coe MonoidHom.submonoidComap_apply_coe
#align add_monoid_hom.submonoid_comap_apply_coe AddMonoidHom.addSubmonoidComap_apply_coe
/-- The `MonoidHom` from a submonoid to its image.
See `MulEquiv.SubmonoidMap` for a variant for `MulEquiv`s. -/
@[to_additive (attr := simps)
"the `AddMonoidHom` from an additive submonoid to its image. See
`AddEquiv.AddSubmonoidMap` for a variant for `AddEquiv`s."]
def submonoidMap (f : M →* N) (M' : Submonoid M) : M' →* M'.map f where
toFun x := ⟨f x, ⟨x, x.2, rfl⟩⟩
map_one' := Subtype.eq <| f.map_one
map_mul' x y := Subtype.eq <| f.map_mul x y
#align monoid_hom.submonoid_map MonoidHom.submonoidMap
#align add_monoid_hom.add_submonoid_map AddMonoidHom.addSubmonoidMap
#align monoid_hom.submonoid_map_apply_coe MonoidHom.submonoidMap_apply_coe
#align add_monoid_hom.submonoid_map_apply_coe AddMonoidHom.addSubmonoidMap_apply_coe
@[to_additive]
theorem submonoidMap_surjective (f : M →* N) (M' : Submonoid M) :
Function.Surjective (f.submonoidMap M') := by
rintro ⟨_, x, hx, rfl⟩
exact ⟨⟨x, hx⟩, rfl⟩
#align monoid_hom.submonoid_map_surjective MonoidHom.submonoidMap_surjective
#align add_monoid_hom.add_submonoid_map_surjective AddMonoidHom.addSubmonoidMap_surjective
end MonoidHom
namespace Submonoid
open MonoidHom
@[to_additive]
theorem mrange_inl : mrange (inl M N) = prod ⊤ ⊥ := by simpa only [mrange_eq_map] using map_inl ⊤
#align submonoid.mrange_inl Submonoid.mrange_inl
#align add_submonoid.mrange_inl AddSubmonoid.mrange_inl
@[to_additive]
theorem mrange_inr : mrange (inr M N) = prod ⊥ ⊤ := by simpa only [mrange_eq_map] using map_inr ⊤
#align submonoid.mrange_inr Submonoid.mrange_inr
#align add_submonoid.mrange_inr AddSubmonoid.mrange_inr
@[to_additive]
theorem mrange_inl' : mrange (inl M N) = comap (snd M N) ⊥ :=
mrange_inl.trans (top_prod _)
#align submonoid.mrange_inl' Submonoid.mrange_inl'
#align add_submonoid.mrange_inl' AddSubmonoid.mrange_inl'
@[to_additive]
theorem mrange_inr' : mrange (inr M N) = comap (fst M N) ⊥ :=
mrange_inr.trans (prod_top _)
#align submonoid.mrange_inr' Submonoid.mrange_inr'
#align add_submonoid.mrange_inr' AddSubmonoid.mrange_inr'
@[to_additive (attr := simp)]
theorem mrange_fst : mrange (fst M N) = ⊤ :=
mrange_top_of_surjective (fst M N) <| @Prod.fst_surjective _ _ ⟨1⟩
#align submonoid.mrange_fst Submonoid.mrange_fst
#align add_submonoid.mrange_fst AddSubmonoid.mrange_fst
@[to_additive (attr := simp)]
theorem mrange_snd : mrange (snd M N) = ⊤ :=
mrange_top_of_surjective (snd M N) <| @Prod.snd_surjective _ _ ⟨1⟩
#align submonoid.mrange_snd Submonoid.mrange_snd
#align add_submonoid.mrange_snd AddSubmonoid.mrange_snd
@[to_additive prod_eq_bot_iff]
| Mathlib/Algebra/Group/Submonoid/Operations.lean | 1,259 | 1,260 | theorem prod_eq_bot_iff {s : Submonoid M} {t : Submonoid N} : s.prod t = ⊥ ↔ s = ⊥ ∧ t = ⊥ := by |
simp only [eq_bot_iff, prod_le_iff, (gc_map_comap _).le_iff_le, comap_bot', mker_inl, mker_inr]
|
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Algebra.BigOperators.Option
import Mathlib.Analysis.BoxIntegral.Box.Basic
import Mathlib.Data.Set.Pairwise.Lattice
#align_import analysis.box_integral.partition.basic from "leanprover-community/mathlib"@"84dc0bd6619acaea625086d6f53cb35cdd554219"
/-!
# Partitions of rectangular boxes in `ℝⁿ`
In this file we define (pre)partitions of rectangular boxes in `ℝⁿ`. A partition of a box `I` in
`ℝⁿ` (see `BoxIntegral.Prepartition` and `BoxIntegral.Prepartition.IsPartition`) is a finite set
of pairwise disjoint boxes such that their union is exactly `I`. We use `boxes : Finset (Box ι)` to
store the set of boxes.
Many lemmas about box integrals deal with pairwise disjoint collections of subboxes, so we define a
structure `BoxIntegral.Prepartition (I : BoxIntegral.Box ι)` that stores a collection of boxes
such that
* each box `J ∈ boxes` is a subbox of `I`;
* the boxes are pairwise disjoint as sets in `ℝⁿ`.
Then we define a predicate `BoxIntegral.Prepartition.IsPartition`; `π.IsPartition` means that the
boxes of `π` actually cover the whole `I`. We also define some operations on prepartitions:
* `BoxIntegral.Prepartition.biUnion`: split each box of a partition into smaller boxes;
* `BoxIntegral.Prepartition.restrict`: restrict a partition to a smaller box.
We also define a `SemilatticeInf` structure on `BoxIntegral.Prepartition I` for all
`I : BoxIntegral.Box ι`.
## Tags
rectangular box, partition
-/
open Set Finset Function
open scoped Classical
open NNReal
noncomputable section
namespace BoxIntegral
variable {ι : Type*}
/-- A prepartition of `I : BoxIntegral.Box ι` is a finite set of pairwise disjoint subboxes of
`I`. -/
structure Prepartition (I : Box ι) where
/-- The underlying set of boxes -/
boxes : Finset (Box ι)
/-- Each box is a sub-box of `I` -/
le_of_mem' : ∀ J ∈ boxes, J ≤ I
/-- The boxes in a prepartition are pairwise disjoint. -/
pairwiseDisjoint : Set.Pairwise (↑boxes) (Disjoint on ((↑) : Box ι → Set (ι → ℝ)))
#align box_integral.prepartition BoxIntegral.Prepartition
namespace Prepartition
variable {I J J₁ J₂ : Box ι} (π : Prepartition I) {π₁ π₂ : Prepartition I} {x : ι → ℝ}
instance : Membership (Box ι) (Prepartition I) :=
⟨fun J π => J ∈ π.boxes⟩
@[simp]
theorem mem_boxes : J ∈ π.boxes ↔ J ∈ π := Iff.rfl
#align box_integral.prepartition.mem_boxes BoxIntegral.Prepartition.mem_boxes
@[simp]
theorem mem_mk {s h₁ h₂} : J ∈ (mk s h₁ h₂ : Prepartition I) ↔ J ∈ s := Iff.rfl
#align box_integral.prepartition.mem_mk BoxIntegral.Prepartition.mem_mk
theorem disjoint_coe_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (h : J₁ ≠ J₂) :
Disjoint (J₁ : Set (ι → ℝ)) J₂ :=
π.pairwiseDisjoint h₁ h₂ h
#align box_integral.prepartition.disjoint_coe_of_mem BoxIntegral.Prepartition.disjoint_coe_of_mem
theorem eq_of_mem_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hx₁ : x ∈ J₁) (hx₂ : x ∈ J₂) : J₁ = J₂ :=
by_contra fun H => (π.disjoint_coe_of_mem h₁ h₂ H).le_bot ⟨hx₁, hx₂⟩
#align box_integral.prepartition.eq_of_mem_of_mem BoxIntegral.Prepartition.eq_of_mem_of_mem
theorem eq_of_le_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle₁ : J ≤ J₁) (hle₂ : J ≤ J₂) : J₁ = J₂ :=
π.eq_of_mem_of_mem h₁ h₂ (hle₁ J.upper_mem) (hle₂ J.upper_mem)
#align box_integral.prepartition.eq_of_le_of_le BoxIntegral.Prepartition.eq_of_le_of_le
theorem eq_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle : J₁ ≤ J₂) : J₁ = J₂ :=
π.eq_of_le_of_le h₁ h₂ le_rfl hle
#align box_integral.prepartition.eq_of_le BoxIntegral.Prepartition.eq_of_le
theorem le_of_mem (hJ : J ∈ π) : J ≤ I :=
π.le_of_mem' J hJ
#align box_integral.prepartition.le_of_mem BoxIntegral.Prepartition.le_of_mem
theorem lower_le_lower (hJ : J ∈ π) : I.lower ≤ J.lower :=
Box.antitone_lower (π.le_of_mem hJ)
#align box_integral.prepartition.lower_le_lower BoxIntegral.Prepartition.lower_le_lower
theorem upper_le_upper (hJ : J ∈ π) : J.upper ≤ I.upper :=
Box.monotone_upper (π.le_of_mem hJ)
#align box_integral.prepartition.upper_le_upper BoxIntegral.Prepartition.upper_le_upper
theorem injective_boxes : Function.Injective (boxes : Prepartition I → Finset (Box ι)) := by
rintro ⟨s₁, h₁, h₁'⟩ ⟨s₂, h₂, h₂'⟩ (rfl : s₁ = s₂)
rfl
#align box_integral.prepartition.injective_boxes BoxIntegral.Prepartition.injective_boxes
@[ext]
theorem ext (h : ∀ J, J ∈ π₁ ↔ J ∈ π₂) : π₁ = π₂ :=
injective_boxes <| Finset.ext h
#align box_integral.prepartition.ext BoxIntegral.Prepartition.ext
/-- The singleton prepartition `{J}`, `J ≤ I`. -/
@[simps]
def single (I J : Box ι) (h : J ≤ I) : Prepartition I :=
⟨{J}, by simpa, by simp⟩
#align box_integral.prepartition.single BoxIntegral.Prepartition.single
@[simp]
theorem mem_single {J'} (h : J ≤ I) : J' ∈ single I J h ↔ J' = J :=
mem_singleton
#align box_integral.prepartition.mem_single BoxIntegral.Prepartition.mem_single
/-- We say that `π ≤ π'` if each box of `π` is a subbox of some box of `π'`. -/
instance : LE (Prepartition I) :=
⟨fun π π' => ∀ ⦃I⦄, I ∈ π → ∃ I' ∈ π', I ≤ I'⟩
instance partialOrder : PartialOrder (Prepartition I) where
le := (· ≤ ·)
le_refl π I hI := ⟨I, hI, le_rfl⟩
le_trans π₁ π₂ π₃ h₁₂ h₂₃ I₁ hI₁ :=
let ⟨I₂, hI₂, hI₁₂⟩ := h₁₂ hI₁
let ⟨I₃, hI₃, hI₂₃⟩ := h₂₃ hI₂
⟨I₃, hI₃, hI₁₂.trans hI₂₃⟩
le_antisymm := by
suffices ∀ {π₁ π₂ : Prepartition I}, π₁ ≤ π₂ → π₂ ≤ π₁ → π₁.boxes ⊆ π₂.boxes from
fun π₁ π₂ h₁ h₂ => injective_boxes (Subset.antisymm (this h₁ h₂) (this h₂ h₁))
intro π₁ π₂ h₁ h₂ J hJ
rcases h₁ hJ with ⟨J', hJ', hle⟩; rcases h₂ hJ' with ⟨J'', hJ'', hle'⟩
obtain rfl : J = J'' := π₁.eq_of_le hJ hJ'' (hle.trans hle')
obtain rfl : J' = J := le_antisymm ‹_› ‹_›
assumption
instance : OrderTop (Prepartition I) where
top := single I I le_rfl
le_top π J hJ := ⟨I, by simp, π.le_of_mem hJ⟩
instance : OrderBot (Prepartition I) where
bot := ⟨∅,
fun _ hJ => (Finset.not_mem_empty _ hJ).elim,
fun _ hJ => (Set.not_mem_empty _ <| Finset.coe_empty ▸ hJ).elim⟩
bot_le _ _ hJ := (Finset.not_mem_empty _ hJ).elim
instance : Inhabited (Prepartition I) := ⟨⊤⟩
theorem le_def : π₁ ≤ π₂ ↔ ∀ J ∈ π₁, ∃ J' ∈ π₂, J ≤ J' := Iff.rfl
#align box_integral.prepartition.le_def BoxIntegral.Prepartition.le_def
@[simp]
theorem mem_top : J ∈ (⊤ : Prepartition I) ↔ J = I :=
mem_singleton
#align box_integral.prepartition.mem_top BoxIntegral.Prepartition.mem_top
@[simp]
theorem top_boxes : (⊤ : Prepartition I).boxes = {I} := rfl
#align box_integral.prepartition.top_boxes BoxIntegral.Prepartition.top_boxes
@[simp]
theorem not_mem_bot : J ∉ (⊥ : Prepartition I) :=
Finset.not_mem_empty _
#align box_integral.prepartition.not_mem_bot BoxIntegral.Prepartition.not_mem_bot
@[simp]
theorem bot_boxes : (⊥ : Prepartition I).boxes = ∅ := rfl
#align box_integral.prepartition.bot_boxes BoxIntegral.Prepartition.bot_boxes
/-- An auxiliary lemma used to prove that the same point can't belong to more than
`2 ^ Fintype.card ι` closed boxes of a prepartition. -/
theorem injOn_setOf_mem_Icc_setOf_lower_eq (x : ι → ℝ) :
InjOn (fun J : Box ι => { i | J.lower i = x i }) { J | J ∈ π ∧ x ∈ Box.Icc J } := by
rintro J₁ ⟨h₁, hx₁⟩ J₂ ⟨h₂, hx₂⟩ (H : { i | J₁.lower i = x i } = { i | J₂.lower i = x i })
suffices ∀ i, (Ioc (J₁.lower i) (J₁.upper i) ∩ Ioc (J₂.lower i) (J₂.upper i)).Nonempty by
choose y hy₁ hy₂ using this
exact π.eq_of_mem_of_mem h₁ h₂ hy₁ hy₂
intro i
simp only [Set.ext_iff, mem_setOf] at H
rcases (hx₁.1 i).eq_or_lt with hi₁ | hi₁
· have hi₂ : J₂.lower i = x i := (H _).1 hi₁
have H₁ : x i < J₁.upper i := by simpa only [hi₁] using J₁.lower_lt_upper i
have H₂ : x i < J₂.upper i := by simpa only [hi₂] using J₂.lower_lt_upper i
rw [Ioc_inter_Ioc, hi₁, hi₂, sup_idem, Set.nonempty_Ioc]
exact lt_min H₁ H₂
· have hi₂ : J₂.lower i < x i := (hx₂.1 i).lt_of_ne (mt (H _).2 hi₁.ne)
exact ⟨x i, ⟨hi₁, hx₁.2 i⟩, ⟨hi₂, hx₂.2 i⟩⟩
#align box_integral.prepartition.inj_on_set_of_mem_Icc_set_of_lower_eq BoxIntegral.Prepartition.injOn_setOf_mem_Icc_setOf_lower_eq
/-- The set of boxes of a prepartition that contain `x` in their closures has cardinality
at most `2 ^ Fintype.card ι`. -/
theorem card_filter_mem_Icc_le [Fintype ι] (x : ι → ℝ) :
(π.boxes.filter fun J : Box ι => x ∈ Box.Icc J).card ≤ 2 ^ Fintype.card ι := by
rw [← Fintype.card_set]
refine Finset.card_le_card_of_inj_on (fun J : Box ι => { i | J.lower i = x i })
(fun _ _ => Finset.mem_univ _) ?_
simpa only [Finset.mem_filter] using π.injOn_setOf_mem_Icc_setOf_lower_eq x
#align box_integral.prepartition.card_filter_mem_Icc_le BoxIntegral.Prepartition.card_filter_mem_Icc_le
/-- Given a prepartition `π : BoxIntegral.Prepartition I`, `π.iUnion` is the part of `I` covered by
the boxes of `π`. -/
protected def iUnion : Set (ι → ℝ) :=
⋃ J ∈ π, ↑J
#align box_integral.prepartition.Union BoxIntegral.Prepartition.iUnion
theorem iUnion_def : π.iUnion = ⋃ J ∈ π, ↑J := rfl
#align box_integral.prepartition.Union_def BoxIntegral.Prepartition.iUnion_def
theorem iUnion_def' : π.iUnion = ⋃ J ∈ π.boxes, ↑J := rfl
#align box_integral.prepartition.Union_def' BoxIntegral.Prepartition.iUnion_def'
-- Porting note: Previous proof was `:= Set.mem_iUnion₂`
@[simp]
theorem mem_iUnion : x ∈ π.iUnion ↔ ∃ J ∈ π, x ∈ J := by
convert Set.mem_iUnion₂
rw [Box.mem_coe, exists_prop]
#align box_integral.prepartition.mem_Union BoxIntegral.Prepartition.mem_iUnion
@[simp]
theorem iUnion_single (h : J ≤ I) : (single I J h).iUnion = J := by simp [iUnion_def]
#align box_integral.prepartition.Union_single BoxIntegral.Prepartition.iUnion_single
@[simp]
theorem iUnion_top : (⊤ : Prepartition I).iUnion = I := by simp [Prepartition.iUnion]
#align box_integral.prepartition.Union_top BoxIntegral.Prepartition.iUnion_top
@[simp]
theorem iUnion_eq_empty : π₁.iUnion = ∅ ↔ π₁ = ⊥ := by
simp [← injective_boxes.eq_iff, Finset.ext_iff, Prepartition.iUnion, imp_false]
#align box_integral.prepartition.Union_eq_empty BoxIntegral.Prepartition.iUnion_eq_empty
@[simp]
theorem iUnion_bot : (⊥ : Prepartition I).iUnion = ∅ :=
iUnion_eq_empty.2 rfl
#align box_integral.prepartition.Union_bot BoxIntegral.Prepartition.iUnion_bot
theorem subset_iUnion (h : J ∈ π) : ↑J ⊆ π.iUnion :=
subset_biUnion_of_mem h
#align box_integral.prepartition.subset_Union BoxIntegral.Prepartition.subset_iUnion
theorem iUnion_subset : π.iUnion ⊆ I :=
iUnion₂_subset π.le_of_mem'
#align box_integral.prepartition.Union_subset BoxIntegral.Prepartition.iUnion_subset
@[mono]
theorem iUnion_mono (h : π₁ ≤ π₂) : π₁.iUnion ⊆ π₂.iUnion := fun _ hx =>
let ⟨_, hJ₁, hx⟩ := π₁.mem_iUnion.1 hx
let ⟨J₂, hJ₂, hle⟩ := h hJ₁
π₂.mem_iUnion.2 ⟨J₂, hJ₂, hle hx⟩
#align box_integral.prepartition.Union_mono BoxIntegral.Prepartition.iUnion_mono
theorem disjoint_boxes_of_disjoint_iUnion (h : Disjoint π₁.iUnion π₂.iUnion) :
Disjoint π₁.boxes π₂.boxes :=
Finset.disjoint_left.2 fun J h₁ h₂ =>
Disjoint.le_bot (h.mono (π₁.subset_iUnion h₁) (π₂.subset_iUnion h₂)) ⟨J.upper_mem, J.upper_mem⟩
#align box_integral.prepartition.disjoint_boxes_of_disjoint_Union BoxIntegral.Prepartition.disjoint_boxes_of_disjoint_iUnion
theorem le_iff_nonempty_imp_le_and_iUnion_subset :
π₁ ≤ π₂ ↔
(∀ J ∈ π₁, ∀ J' ∈ π₂, (J ∩ J' : Set (ι → ℝ)).Nonempty → J ≤ J') ∧ π₁.iUnion ⊆ π₂.iUnion := by
constructor
· refine fun H => ⟨fun J hJ J' hJ' Hne => ?_, iUnion_mono H⟩
rcases H hJ with ⟨J'', hJ'', Hle⟩
rcases Hne with ⟨x, hx, hx'⟩
rwa [π₂.eq_of_mem_of_mem hJ' hJ'' hx' (Hle hx)]
· rintro ⟨H, HU⟩ J hJ
simp only [Set.subset_def, mem_iUnion] at HU
rcases HU J.upper ⟨J, hJ, J.upper_mem⟩ with ⟨J₂, hJ₂, hx⟩
exact ⟨J₂, hJ₂, H _ hJ _ hJ₂ ⟨_, J.upper_mem, hx⟩⟩
#align box_integral.prepartition.le_iff_nonempty_imp_le_and_Union_subset BoxIntegral.Prepartition.le_iff_nonempty_imp_le_and_iUnion_subset
theorem eq_of_boxes_subset_iUnion_superset (h₁ : π₁.boxes ⊆ π₂.boxes) (h₂ : π₂.iUnion ⊆ π₁.iUnion) :
π₁ = π₂ :=
le_antisymm (fun J hJ => ⟨J, h₁ hJ, le_rfl⟩) <|
le_iff_nonempty_imp_le_and_iUnion_subset.2
⟨fun _ hJ₁ _ hJ₂ Hne =>
(π₂.eq_of_mem_of_mem hJ₁ (h₁ hJ₂) Hne.choose_spec.1 Hne.choose_spec.2).le, h₂⟩
#align box_integral.prepartition.eq_of_boxes_subset_Union_superset BoxIntegral.Prepartition.eq_of_boxes_subset_iUnion_superset
/-- Given a prepartition `π` of a box `I` and a collection of prepartitions `πi J` of all boxes
`J ∈ π`, returns the prepartition of `I` into the union of the boxes of all `πi J`.
Though we only use the values of `πi` on the boxes of `π`, we require `πi` to be a globally defined
function. -/
@[simps]
def biUnion (πi : ∀ J : Box ι, Prepartition J) : Prepartition I where
boxes := π.boxes.biUnion fun J => (πi J).boxes
le_of_mem' J hJ := by
simp only [Finset.mem_biUnion, exists_prop, mem_boxes] at hJ
rcases hJ with ⟨J', hJ', hJ⟩
exact ((πi J').le_of_mem hJ).trans (π.le_of_mem hJ')
pairwiseDisjoint := by
simp only [Set.Pairwise, Finset.mem_coe, Finset.mem_biUnion]
rintro J₁' ⟨J₁, hJ₁, hJ₁'⟩ J₂' ⟨J₂, hJ₂, hJ₂'⟩ Hne
rw [Function.onFun, Set.disjoint_left]
rintro x hx₁ hx₂; apply Hne
obtain rfl : J₁ = J₂ :=
π.eq_of_mem_of_mem hJ₁ hJ₂ ((πi J₁).le_of_mem hJ₁' hx₁) ((πi J₂).le_of_mem hJ₂' hx₂)
exact (πi J₁).eq_of_mem_of_mem hJ₁' hJ₂' hx₁ hx₂
#align box_integral.prepartition.bUnion BoxIntegral.Prepartition.biUnion
variable {πi πi₁ πi₂ : ∀ J : Box ι, Prepartition J}
@[simp]
theorem mem_biUnion : J ∈ π.biUnion πi ↔ ∃ J' ∈ π, J ∈ πi J' := by simp [biUnion]
#align box_integral.prepartition.mem_bUnion BoxIntegral.Prepartition.mem_biUnion
theorem biUnion_le (πi : ∀ J, Prepartition J) : π.biUnion πi ≤ π := fun _ hJ =>
let ⟨J', hJ', hJ⟩ := π.mem_biUnion.1 hJ
⟨J', hJ', (πi J').le_of_mem hJ⟩
#align box_integral.prepartition.bUnion_le BoxIntegral.Prepartition.biUnion_le
@[simp]
theorem biUnion_top : (π.biUnion fun _ => ⊤) = π := by
ext
simp
#align box_integral.prepartition.bUnion_top BoxIntegral.Prepartition.biUnion_top
@[congr]
theorem biUnion_congr (h : π₁ = π₂) (hi : ∀ J ∈ π₁, πi₁ J = πi₂ J) :
π₁.biUnion πi₁ = π₂.biUnion πi₂ := by
subst π₂
ext J
simp only [mem_biUnion]
constructor <;> exact fun ⟨J', h₁, h₂⟩ => ⟨J', h₁, hi J' h₁ ▸ h₂⟩
#align box_integral.prepartition.bUnion_congr BoxIntegral.Prepartition.biUnion_congr
theorem biUnion_congr_of_le (h : π₁ = π₂) (hi : ∀ J ≤ I, πi₁ J = πi₂ J) :
π₁.biUnion πi₁ = π₂.biUnion πi₂ :=
biUnion_congr h fun J hJ => hi J (π₁.le_of_mem hJ)
#align box_integral.prepartition.bUnion_congr_of_le BoxIntegral.Prepartition.biUnion_congr_of_le
@[simp]
theorem iUnion_biUnion (πi : ∀ J : Box ι, Prepartition J) :
(π.biUnion πi).iUnion = ⋃ J ∈ π, (πi J).iUnion := by simp [Prepartition.iUnion]
#align box_integral.prepartition.Union_bUnion BoxIntegral.Prepartition.iUnion_biUnion
@[simp]
theorem sum_biUnion_boxes {M : Type*} [AddCommMonoid M] (π : Prepartition I)
(πi : ∀ J, Prepartition J) (f : Box ι → M) :
(∑ J ∈ π.boxes.biUnion fun J => (πi J).boxes, f J) =
∑ J ∈ π.boxes, ∑ J' ∈ (πi J).boxes, f J' := by
refine Finset.sum_biUnion fun J₁ h₁ J₂ h₂ hne => Finset.disjoint_left.2 fun J' h₁' h₂' => ?_
exact hne (π.eq_of_le_of_le h₁ h₂ ((πi J₁).le_of_mem h₁') ((πi J₂).le_of_mem h₂'))
#align box_integral.prepartition.sum_bUnion_boxes BoxIntegral.Prepartition.sum_biUnion_boxes
/-- Given a box `J ∈ π.biUnion πi`, returns the box `J' ∈ π` such that `J ∈ πi J'`.
For `J ∉ π.biUnion πi`, returns `I`. -/
def biUnionIndex (πi : ∀ (J : Box ι), Prepartition J) (J : Box ι) : Box ι :=
if hJ : J ∈ π.biUnion πi then (π.mem_biUnion.1 hJ).choose else I
#align box_integral.prepartition.bUnion_index BoxIntegral.Prepartition.biUnionIndex
theorem biUnionIndex_mem (hJ : J ∈ π.biUnion πi) : π.biUnionIndex πi J ∈ π := by
rw [biUnionIndex, dif_pos hJ]
exact (π.mem_biUnion.1 hJ).choose_spec.1
#align box_integral.prepartition.bUnion_index_mem BoxIntegral.Prepartition.biUnionIndex_mem
theorem biUnionIndex_le (πi : ∀ J, Prepartition J) (J : Box ι) : π.biUnionIndex πi J ≤ I := by
by_cases hJ : J ∈ π.biUnion πi
· exact π.le_of_mem (π.biUnionIndex_mem hJ)
· rw [biUnionIndex, dif_neg hJ]
#align box_integral.prepartition.bUnion_index_le BoxIntegral.Prepartition.biUnionIndex_le
theorem mem_biUnionIndex (hJ : J ∈ π.biUnion πi) : J ∈ πi (π.biUnionIndex πi J) := by
convert (π.mem_biUnion.1 hJ).choose_spec.2 <;> exact dif_pos hJ
#align box_integral.prepartition.mem_bUnion_index BoxIntegral.Prepartition.mem_biUnionIndex
theorem le_biUnionIndex (hJ : J ∈ π.biUnion πi) : J ≤ π.biUnionIndex πi J :=
le_of_mem _ (π.mem_biUnionIndex hJ)
#align box_integral.prepartition.le_bUnion_index BoxIntegral.Prepartition.le_biUnionIndex
/-- Uniqueness property of `BoxIntegral.Prepartition.biUnionIndex`. -/
theorem biUnionIndex_of_mem (hJ : J ∈ π) {J'} (hJ' : J' ∈ πi J) : π.biUnionIndex πi J' = J :=
have : J' ∈ π.biUnion πi := π.mem_biUnion.2 ⟨J, hJ, hJ'⟩
π.eq_of_le_of_le (π.biUnionIndex_mem this) hJ (π.le_biUnionIndex this) (le_of_mem _ hJ')
#align box_integral.prepartition.bUnion_index_of_mem BoxIntegral.Prepartition.biUnionIndex_of_mem
theorem biUnion_assoc (πi : ∀ J, Prepartition J) (πi' : Box ι → ∀ J : Box ι, Prepartition J) :
(π.biUnion fun J => (πi J).biUnion (πi' J)) =
(π.biUnion πi).biUnion fun J => πi' (π.biUnionIndex πi J) J := by
ext J
simp only [mem_biUnion, exists_prop]
constructor
· rintro ⟨J₁, hJ₁, J₂, hJ₂, hJ⟩
refine ⟨J₂, ⟨J₁, hJ₁, hJ₂⟩, ?_⟩
rwa [π.biUnionIndex_of_mem hJ₁ hJ₂]
· rintro ⟨J₁, ⟨J₂, hJ₂, hJ₁⟩, hJ⟩
refine ⟨J₂, hJ₂, J₁, hJ₁, ?_⟩
rwa [π.biUnionIndex_of_mem hJ₂ hJ₁] at hJ
#align box_integral.prepartition.bUnion_assoc BoxIntegral.Prepartition.biUnion_assoc
/-- Create a `BoxIntegral.Prepartition` from a collection of possibly empty boxes by filtering out
the empty one if it exists. -/
def ofWithBot (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) :
Prepartition I where
boxes := Finset.eraseNone boxes
le_of_mem' J hJ := by
rw [mem_eraseNone] at hJ
simpa only [WithBot.some_eq_coe, WithBot.coe_le_coe] using le_of_mem _ hJ
pairwiseDisjoint J₁ h₁ J₂ h₂ hne := by
simp only [mem_coe, mem_eraseNone] at h₁ h₂
exact Box.disjoint_coe.1 (pairwise_disjoint h₁ h₂ (mt Option.some_inj.1 hne))
#align box_integral.prepartition.of_with_bot BoxIntegral.Prepartition.ofWithBot
@[simp]
theorem mem_ofWithBot {boxes : Finset (WithBot (Box ι))} {h₁ h₂} :
J ∈ (ofWithBot boxes h₁ h₂ : Prepartition I) ↔ (J : WithBot (Box ι)) ∈ boxes :=
mem_eraseNone
#align box_integral.prepartition.mem_of_with_bot BoxIntegral.Prepartition.mem_ofWithBot
@[simp]
theorem iUnion_ofWithBot (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) :
(ofWithBot boxes le_of_mem pairwise_disjoint).iUnion = ⋃ J ∈ boxes, ↑J := by
suffices ⋃ (J : Box ι) (_ : ↑J ∈ boxes), ↑J = ⋃ J ∈ boxes, (J : Set (ι → ℝ)) by
simpa [ofWithBot, Prepartition.iUnion]
simp only [← Box.biUnion_coe_eq_coe, @iUnion_comm _ _ (Box ι), @iUnion_comm _ _ (@Eq _ _ _),
iUnion_iUnion_eq_right]
#align box_integral.prepartition.Union_of_with_bot BoxIntegral.Prepartition.iUnion_ofWithBot
theorem ofWithBot_le {boxes : Finset (WithBot (Box ι))}
{le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ boxes, J ≠ ⊥ → ∃ J' ∈ π, J ≤ ↑J') :
ofWithBot boxes le_of_mem pairwise_disjoint ≤ π := by
have : ∀ J : Box ι, ↑J ∈ boxes → ∃ J' ∈ π, J ≤ J' := fun J hJ => by
simpa only [WithBot.coe_le_coe] using H J hJ WithBot.coe_ne_bot
simpa [ofWithBot, le_def]
#align box_integral.prepartition.of_with_bot_le BoxIntegral.Prepartition.ofWithBot_le
theorem le_ofWithBot {boxes : Finset (WithBot (Box ι))}
{le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ π, ∃ J' ∈ boxes, ↑J ≤ J') : π ≤ ofWithBot boxes le_of_mem pairwise_disjoint := by
intro J hJ
rcases H J hJ with ⟨J', J'mem, hle⟩
lift J' to Box ι using ne_bot_of_le_ne_bot WithBot.coe_ne_bot hle
exact ⟨J', mem_ofWithBot.2 J'mem, WithBot.coe_le_coe.1 hle⟩
#align box_integral.prepartition.le_of_with_bot BoxIntegral.Prepartition.le_ofWithBot
theorem ofWithBot_mono {boxes₁ : Finset (WithBot (Box ι))}
{le_of_mem₁ : ∀ J ∈ boxes₁, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint₁ : Set.Pairwise (boxes₁ : Set (WithBot (Box ι))) Disjoint}
{boxes₂ : Finset (WithBot (Box ι))} {le_of_mem₂ : ∀ J ∈ boxes₂, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint₂ : Set.Pairwise (boxes₂ : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ boxes₁, J ≠ ⊥ → ∃ J' ∈ boxes₂, J ≤ J') :
ofWithBot boxes₁ le_of_mem₁ pairwise_disjoint₁ ≤
ofWithBot boxes₂ le_of_mem₂ pairwise_disjoint₂ :=
le_ofWithBot _ fun J hJ => H J (mem_ofWithBot.1 hJ) WithBot.coe_ne_bot
#align box_integral.prepartition.of_with_bot_mono BoxIntegral.Prepartition.ofWithBot_mono
theorem sum_ofWithBot {M : Type*} [AddCommMonoid M] (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) (f : Box ι → M) :
(∑ J ∈ (ofWithBot boxes le_of_mem pairwise_disjoint).boxes, f J) =
∑ J ∈ boxes, Option.elim' 0 f J :=
Finset.sum_eraseNone _ _
#align box_integral.prepartition.sum_of_with_bot BoxIntegral.Prepartition.sum_ofWithBot
/-- Restrict a prepartition to a box. -/
def restrict (π : Prepartition I) (J : Box ι) : Prepartition J :=
ofWithBot (π.boxes.image fun J' : Box ι => J ⊓ J')
(fun J' hJ' => by
rcases Finset.mem_image.1 hJ' with ⟨J', -, rfl⟩
exact inf_le_left)
(by
simp only [Set.Pairwise, onFun, Finset.mem_coe, Finset.mem_image]
rintro _ ⟨J₁, h₁, rfl⟩ _ ⟨J₂, h₂, rfl⟩ Hne
have : J₁ ≠ J₂ := by
rintro rfl
exact Hne rfl
exact ((Box.disjoint_coe.2 <| π.disjoint_coe_of_mem h₁ h₂ this).inf_left' _).inf_right' _)
#align box_integral.prepartition.restrict BoxIntegral.Prepartition.restrict
@[simp]
theorem mem_restrict : J₁ ∈ π.restrict J ↔ ∃ J' ∈ π, (J₁ : WithBot (Box ι)) = ↑J ⊓ ↑J' := by
simp [restrict, eq_comm]
#align box_integral.prepartition.mem_restrict BoxIntegral.Prepartition.mem_restrict
theorem mem_restrict' : J₁ ∈ π.restrict J ↔ ∃ J' ∈ π, (J₁ : Set (ι → ℝ)) = ↑J ∩ ↑J' := by
simp only [mem_restrict, ← Box.withBotCoe_inj, Box.coe_inf, Box.coe_coe]
#align box_integral.prepartition.mem_restrict' BoxIntegral.Prepartition.mem_restrict'
@[mono]
theorem restrict_mono {π₁ π₂ : Prepartition I} (Hle : π₁ ≤ π₂) : π₁.restrict J ≤ π₂.restrict J := by
refine ofWithBot_mono fun J₁ hJ₁ hne => ?_
rw [Finset.mem_image] at hJ₁; rcases hJ₁ with ⟨J₁, hJ₁, rfl⟩
rcases Hle hJ₁ with ⟨J₂, hJ₂, hle⟩
exact ⟨_, Finset.mem_image_of_mem _ hJ₂, inf_le_inf_left _ <| WithBot.coe_le_coe.2 hle⟩
#align box_integral.prepartition.restrict_mono BoxIntegral.Prepartition.restrict_mono
theorem monotone_restrict : Monotone fun π : Prepartition I => restrict π J :=
fun _ _ => restrict_mono
#align box_integral.prepartition.monotone_restrict BoxIntegral.Prepartition.monotone_restrict
/-- Restricting to a larger box does not change the set of boxes. We cannot claim equality
of prepartitions because they have different types. -/
theorem restrict_boxes_of_le (π : Prepartition I) (h : I ≤ J) : (π.restrict J).boxes = π.boxes := by
simp only [restrict, ofWithBot, eraseNone_eq_biUnion]
refine Finset.image_biUnion.trans ?_
refine (Finset.biUnion_congr rfl ?_).trans Finset.biUnion_singleton_eq_self
intro J' hJ'
rw [inf_of_le_right, ← WithBot.some_eq_coe, Option.toFinset_some]
exact WithBot.coe_le_coe.2 ((π.le_of_mem hJ').trans h)
#align box_integral.prepartition.restrict_boxes_of_le BoxIntegral.Prepartition.restrict_boxes_of_le
@[simp]
theorem restrict_self : π.restrict I = π :=
injective_boxes <| restrict_boxes_of_le π le_rfl
#align box_integral.prepartition.restrict_self BoxIntegral.Prepartition.restrict_self
@[simp]
theorem iUnion_restrict : (π.restrict J).iUnion = (J : Set (ι → ℝ)) ∩ (π.iUnion) := by
simp [restrict, ← inter_iUnion, ← iUnion_def]
#align box_integral.prepartition.Union_restrict BoxIntegral.Prepartition.iUnion_restrict
@[simp]
theorem restrict_biUnion (πi : ∀ J, Prepartition J) (hJ : J ∈ π) :
(π.biUnion πi).restrict J = πi J := by
refine (eq_of_boxes_subset_iUnion_superset (fun J₁ h₁ => ?_) ?_).symm
· refine (mem_restrict _).2 ⟨J₁, π.mem_biUnion.2 ⟨J, hJ, h₁⟩, (inf_of_le_right ?_).symm⟩
exact WithBot.coe_le_coe.2 (le_of_mem _ h₁)
· simp only [iUnion_restrict, iUnion_biUnion, Set.subset_def, Set.mem_inter_iff, Set.mem_iUnion]
rintro x ⟨hxJ, J₁, h₁, hx⟩
obtain rfl : J = J₁ := π.eq_of_mem_of_mem hJ h₁ hxJ (iUnion_subset _ hx)
exact hx
#align box_integral.prepartition.restrict_bUnion BoxIntegral.Prepartition.restrict_biUnion
theorem biUnion_le_iff {πi : ∀ J, Prepartition J} {π' : Prepartition I} :
π.biUnion πi ≤ π' ↔ ∀ J ∈ π, πi J ≤ π'.restrict J := by
constructor <;> intro H J hJ
· rw [← π.restrict_biUnion πi hJ]
exact restrict_mono H
· rw [mem_biUnion] at hJ
rcases hJ with ⟨J₁, h₁, hJ⟩
rcases H J₁ h₁ hJ with ⟨J₂, h₂, Hle⟩
rcases π'.mem_restrict.mp h₂ with ⟨J₃, h₃, H⟩
exact ⟨J₃, h₃, Hle.trans <| WithBot.coe_le_coe.1 <| H.trans_le inf_le_right⟩
#align box_integral.prepartition.bUnion_le_iff BoxIntegral.Prepartition.biUnion_le_iff
theorem le_biUnion_iff {πi : ∀ J, Prepartition J} {π' : Prepartition I} :
π' ≤ π.biUnion πi ↔ π' ≤ π ∧ ∀ J ∈ π, π'.restrict J ≤ πi J := by
refine ⟨fun H => ⟨H.trans (π.biUnion_le πi), fun J hJ => ?_⟩, ?_⟩
· rw [← π.restrict_biUnion πi hJ]
exact restrict_mono H
· rintro ⟨H, Hi⟩ J' hJ'
rcases H hJ' with ⟨J, hJ, hle⟩
have : J' ∈ π'.restrict J :=
π'.mem_restrict.2 ⟨J', hJ', (inf_of_le_right <| WithBot.coe_le_coe.2 hle).symm⟩
rcases Hi J hJ this with ⟨Ji, hJi, hlei⟩
exact ⟨Ji, π.mem_biUnion.2 ⟨J, hJ, hJi⟩, hlei⟩
#align box_integral.prepartition.le_bUnion_iff BoxIntegral.Prepartition.le_biUnion_iff
instance inf : Inf (Prepartition I) :=
⟨fun π₁ π₂ => π₁.biUnion fun J => π₂.restrict J⟩
theorem inf_def (π₁ π₂ : Prepartition I) : π₁ ⊓ π₂ = π₁.biUnion fun J => π₂.restrict J := rfl
#align box_integral.prepartition.inf_def BoxIntegral.Prepartition.inf_def
@[simp]
theorem mem_inf {π₁ π₂ : Prepartition I} :
J ∈ π₁ ⊓ π₂ ↔ ∃ J₁ ∈ π₁, ∃ J₂ ∈ π₂, (J : WithBot (Box ι)) = ↑J₁ ⊓ ↑J₂ := by
simp only [inf_def, mem_biUnion, mem_restrict]
#align box_integral.prepartition.mem_inf BoxIntegral.Prepartition.mem_inf
@[simp]
theorem iUnion_inf (π₁ π₂ : Prepartition I) : (π₁ ⊓ π₂).iUnion = π₁.iUnion ∩ π₂.iUnion := by
simp only [inf_def, iUnion_biUnion, iUnion_restrict, ← iUnion_inter, ← iUnion_def]
#align box_integral.prepartition.Union_inf BoxIntegral.Prepartition.iUnion_inf
instance : SemilatticeInf (Prepartition I) :=
{ Prepartition.inf,
Prepartition.partialOrder with
inf_le_left := fun π₁ _ => π₁.biUnion_le _
inf_le_right := fun _ _ => (biUnion_le_iff _).2 fun _ _ => le_rfl
le_inf := fun _ π₁ _ h₁ h₂ => π₁.le_biUnion_iff.2 ⟨h₁, fun _ _ => restrict_mono h₂⟩ }
/-- The prepartition with boxes `{J ∈ π | p J}`. -/
@[simps]
def filter (π : Prepartition I) (p : Box ι → Prop) : Prepartition I where
boxes := π.boxes.filter p
le_of_mem' _ hJ := π.le_of_mem (mem_filter.1 hJ).1
pairwiseDisjoint _ h₁ _ h₂ := π.disjoint_coe_of_mem (mem_filter.1 h₁).1 (mem_filter.1 h₂).1
#align box_integral.prepartition.filter BoxIntegral.Prepartition.filter
@[simp]
theorem mem_filter {p : Box ι → Prop} : J ∈ π.filter p ↔ J ∈ π ∧ p J :=
Finset.mem_filter
#align box_integral.prepartition.mem_filter BoxIntegral.Prepartition.mem_filter
theorem filter_le (π : Prepartition I) (p : Box ι → Prop) : π.filter p ≤ π := fun J hJ =>
let ⟨hπ, _⟩ := π.mem_filter.1 hJ
⟨J, hπ, le_rfl⟩
#align box_integral.prepartition.filter_le BoxIntegral.Prepartition.filter_le
theorem filter_of_true {p : Box ι → Prop} (hp : ∀ J ∈ π, p J) : π.filter p = π := by
ext J
simpa using hp J
#align box_integral.prepartition.filter_of_true BoxIntegral.Prepartition.filter_of_true
@[simp]
theorem filter_true : (π.filter fun _ => True) = π :=
π.filter_of_true fun _ _ => trivial
#align box_integral.prepartition.filter_true BoxIntegral.Prepartition.filter_true
@[simp]
theorem iUnion_filter_not (π : Prepartition I) (p : Box ι → Prop) :
(π.filter fun J => ¬p J).iUnion = π.iUnion \ (π.filter p).iUnion := by
simp only [Prepartition.iUnion]
convert (@Set.biUnion_diff_biUnion_eq (ι → ℝ) (Box ι) π.boxes (π.filter p).boxes (↑) _).symm
· simp (config := { contextual := true })
· rw [Set.PairwiseDisjoint]
convert π.pairwiseDisjoint
rw [Set.union_eq_left, filter_boxes, coe_filter]
exact fun _ ⟨h, _⟩ => h
#align box_integral.prepartition.Union_filter_not BoxIntegral.Prepartition.iUnion_filter_not
theorem sum_fiberwise {α M} [AddCommMonoid M] (π : Prepartition I) (f : Box ι → α) (g : Box ι → M) :
(∑ y ∈ π.boxes.image f, ∑ J ∈ (π.filter fun J => f J = y).boxes, g J) =
∑ J ∈ π.boxes, g J := by
convert sum_fiberwise_of_maps_to (fun _ => Finset.mem_image_of_mem f) g
#align box_integral.prepartition.sum_fiberwise BoxIntegral.Prepartition.sum_fiberwise
/-- Union of two disjoint prepartitions. -/
@[simps]
def disjUnion (π₁ π₂ : Prepartition I) (h : Disjoint π₁.iUnion π₂.iUnion) : Prepartition I where
boxes := π₁.boxes ∪ π₂.boxes
le_of_mem' J hJ := (Finset.mem_union.1 hJ).elim π₁.le_of_mem π₂.le_of_mem
pairwiseDisjoint :=
suffices ∀ J₁ ∈ π₁, ∀ J₂ ∈ π₂, J₁ ≠ J₂ → Disjoint (J₁ : Set (ι → ℝ)) J₂ by
simpa [pairwise_union_of_symmetric (symmetric_disjoint.comap _), pairwiseDisjoint]
fun J₁ h₁ J₂ h₂ _ => h.mono (π₁.subset_iUnion h₁) (π₂.subset_iUnion h₂)
#align box_integral.prepartition.disj_union BoxIntegral.Prepartition.disjUnion
@[simp]
theorem mem_disjUnion (H : Disjoint π₁.iUnion π₂.iUnion) :
J ∈ π₁.disjUnion π₂ H ↔ J ∈ π₁ ∨ J ∈ π₂ :=
Finset.mem_union
#align box_integral.prepartition.mem_disj_union BoxIntegral.Prepartition.mem_disjUnion
@[simp]
theorem iUnion_disjUnion (h : Disjoint π₁.iUnion π₂.iUnion) :
(π₁.disjUnion π₂ h).iUnion = π₁.iUnion ∪ π₂.iUnion := by
simp [disjUnion, Prepartition.iUnion, iUnion_or, iUnion_union_distrib]
#align box_integral.prepartition.Union_disj_union BoxIntegral.Prepartition.iUnion_disjUnion
@[simp]
theorem sum_disj_union_boxes {M : Type*} [AddCommMonoid M] (h : Disjoint π₁.iUnion π₂.iUnion)
(f : Box ι → M) :
∑ J ∈ π₁.boxes ∪ π₂.boxes, f J = (∑ J ∈ π₁.boxes, f J) + ∑ J ∈ π₂.boxes, f J :=
sum_union <| disjoint_boxes_of_disjoint_iUnion h
#align box_integral.prepartition.sum_disj_union_boxes BoxIntegral.Prepartition.sum_disj_union_boxes
section Distortion
variable [Fintype ι]
/-- The distortion of a prepartition is the maximum of the distortions of the boxes of this
prepartition. -/
def distortion : ℝ≥0 :=
π.boxes.sup Box.distortion
#align box_integral.prepartition.distortion BoxIntegral.Prepartition.distortion
theorem distortion_le_of_mem (h : J ∈ π) : J.distortion ≤ π.distortion :=
le_sup h
#align box_integral.prepartition.distortion_le_of_mem BoxIntegral.Prepartition.distortion_le_of_mem
theorem distortion_le_iff {c : ℝ≥0} : π.distortion ≤ c ↔ ∀ J ∈ π, Box.distortion J ≤ c :=
Finset.sup_le_iff
#align box_integral.prepartition.distortion_le_iff BoxIntegral.Prepartition.distortion_le_iff
theorem distortion_biUnion (π : Prepartition I) (πi : ∀ J, Prepartition J) :
(π.biUnion πi).distortion = π.boxes.sup fun J => (πi J).distortion :=
sup_biUnion _ _
#align box_integral.prepartition.distortion_bUnion BoxIntegral.Prepartition.distortion_biUnion
@[simp]
theorem distortion_disjUnion (h : Disjoint π₁.iUnion π₂.iUnion) :
(π₁.disjUnion π₂ h).distortion = max π₁.distortion π₂.distortion :=
sup_union
#align box_integral.prepartition.distortion_disj_union BoxIntegral.Prepartition.distortion_disjUnion
theorem distortion_of_const {c} (h₁ : π.boxes.Nonempty) (h₂ : ∀ J ∈ π, Box.distortion J = c) :
π.distortion = c :=
(sup_congr rfl h₂).trans (sup_const h₁ _)
#align box_integral.prepartition.distortion_of_const BoxIntegral.Prepartition.distortion_of_const
@[simp]
theorem distortion_top (I : Box ι) : distortion (⊤ : Prepartition I) = I.distortion :=
sup_singleton
#align box_integral.prepartition.distortion_top BoxIntegral.Prepartition.distortion_top
@[simp]
theorem distortion_bot (I : Box ι) : distortion (⊥ : Prepartition I) = 0 :=
sup_empty
#align box_integral.prepartition.distortion_bot BoxIntegral.Prepartition.distortion_bot
end Distortion
/-- A prepartition `π` of `I` is a partition if the boxes of `π` cover the whole `I`. -/
def IsPartition (π : Prepartition I) :=
∀ x ∈ I, ∃ J ∈ π, x ∈ J
#align box_integral.prepartition.is_partition BoxIntegral.Prepartition.IsPartition
| Mathlib/Analysis/BoxIntegral/Partition/Basic.lean | 720 | 722 | theorem isPartition_iff_iUnion_eq {π : Prepartition I} : π.IsPartition ↔ π.iUnion = I := by |
simp_rw [IsPartition, Set.Subset.antisymm_iff, π.iUnion_subset, true_and_iff, Set.subset_def,
mem_iUnion, Box.mem_coe]
|
/-
Copyright (c) 2021 Chris Birkbeck. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Birkbeck
-/
import Mathlib.Algebra.Group.Subgroup.Pointwise
import Mathlib.Data.Set.Basic
import Mathlib.Data.Setoid.Basic
import Mathlib.GroupTheory.Coset
#align_import group_theory.double_coset from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
/-!
# Double cosets
This file defines double cosets for two subgroups `H K` of a group `G` and the quotient of `G` by
the double coset relation, i.e. `H \ G / K`. We also prove that `G` can be written as a disjoint
union of the double cosets and that if one of `H` or `K` is the trivial group (i.e. `⊥` ) then
this is the usual left or right quotient of a group by a subgroup.
## Main definitions
* `rel`: The double coset relation defined by two subgroups `H K` of `G`.
* `Doset.quotient`: The quotient of `G` by the double coset relation, i.e, `H \ G / K`.
-/
-- Porting note: removed import
-- import Mathlib.Tactic.Group
variable {G : Type*} [Group G] {α : Type*} [Mul α] (J : Subgroup G) (g : G)
open MulOpposite
open scoped Pointwise
namespace Doset
/-- The double coset as an element of `Set α` corresponding to `s a t` -/
def doset (a : α) (s t : Set α) : Set α :=
s * {a} * t
#align doset Doset.doset
lemma doset_eq_image2 (a : α) (s t : Set α) : doset a s t = Set.image2 (· * a * ·) s t := by
simp_rw [doset, Set.mul_singleton, ← Set.image2_mul, Set.image2_image_left]
theorem mem_doset {s t : Set α} {a b : α} : b ∈ doset a s t ↔ ∃ x ∈ s, ∃ y ∈ t, b = x * a * y := by
simp only [doset_eq_image2, Set.mem_image2, eq_comm]
#align doset.mem_doset Doset.mem_doset
theorem mem_doset_self (H K : Subgroup G) (a : G) : a ∈ doset a H K :=
mem_doset.mpr ⟨1, H.one_mem, 1, K.one_mem, (one_mul a).symm.trans (mul_one (1 * a)).symm⟩
#align doset.mem_doset_self Doset.mem_doset_self
theorem doset_eq_of_mem {H K : Subgroup G} {a b : G} (hb : b ∈ doset a H K) :
doset b H K = doset a H K := by
obtain ⟨h, hh, k, hk, rfl⟩ := mem_doset.1 hb
rw [doset, doset, ← Set.singleton_mul_singleton, ← Set.singleton_mul_singleton, mul_assoc,
mul_assoc, Subgroup.singleton_mul_subgroup hk, ← mul_assoc, ← mul_assoc,
Subgroup.subgroup_mul_singleton hh]
#align doset.doset_eq_of_mem Doset.doset_eq_of_mem
theorem mem_doset_of_not_disjoint {H K : Subgroup G} {a b : G}
(h : ¬Disjoint (doset a H K) (doset b H K)) : b ∈ doset a H K := by
rw [Set.not_disjoint_iff] at h
simp only [mem_doset] at *
obtain ⟨x, ⟨l, hl, r, hr, hrx⟩, y, hy, ⟨r', hr', rfl⟩⟩ := h
refine ⟨y⁻¹ * l, H.mul_mem (H.inv_mem hy) hl, r * r'⁻¹, K.mul_mem hr (K.inv_mem hr'), ?_⟩
rwa [mul_assoc, mul_assoc, eq_inv_mul_iff_mul_eq, ← mul_assoc, ← mul_assoc, eq_mul_inv_iff_mul_eq]
#align doset.mem_doset_of_not_disjoint Doset.mem_doset_of_not_disjoint
theorem eq_of_not_disjoint {H K : Subgroup G} {a b : G}
(h : ¬Disjoint (doset a H K) (doset b H K)) : doset a H K = doset b H K := by
rw [disjoint_comm] at h
have ha : a ∈ doset b H K := mem_doset_of_not_disjoint h
apply doset_eq_of_mem ha
#align doset.eq_of_not_disjoint Doset.eq_of_not_disjoint
/-- The setoid defined by the double_coset relation -/
def setoid (H K : Set G) : Setoid G :=
Setoid.ker fun x => doset x H K
#align doset.setoid Doset.setoid
/-- Quotient of `G` by the double coset relation, i.e. `H \ G / K` -/
def Quotient (H K : Set G) : Type _ :=
_root_.Quotient (setoid H K)
#align doset.quotient Doset.Quotient
theorem rel_iff {H K : Subgroup G} {x y : G} :
(setoid ↑H ↑K).Rel x y ↔ ∃ a ∈ H, ∃ b ∈ K, y = a * x * b :=
Iff.trans
⟨fun hxy => (congr_arg _ hxy).mpr (mem_doset_self H K y), fun hxy => (doset_eq_of_mem hxy).symm⟩
mem_doset
#align doset.rel_iff Doset.rel_iff
theorem bot_rel_eq_leftRel (H : Subgroup G) :
(setoid ↑(⊥ : Subgroup G) ↑H).Rel = (QuotientGroup.leftRel H).Rel := by
ext a b
rw [rel_iff, Setoid.Rel, QuotientGroup.leftRel_apply]
constructor
· rintro ⟨a, rfl : a = 1, b, hb, rfl⟩
change a⁻¹ * (1 * a * b) ∈ H
rwa [one_mul, inv_mul_cancel_left]
· rintro (h : a⁻¹ * b ∈ H)
exact ⟨1, rfl, a⁻¹ * b, h, by rw [one_mul, mul_inv_cancel_left]⟩
#align doset.bot_rel_eq_left_rel Doset.bot_rel_eq_leftRel
theorem rel_bot_eq_right_group_rel (H : Subgroup G) :
(setoid ↑H ↑(⊥ : Subgroup G)).Rel = (QuotientGroup.rightRel H).Rel := by
ext a b
rw [rel_iff, Setoid.Rel, QuotientGroup.rightRel_apply]
constructor
· rintro ⟨b, hb, a, rfl : a = 1, rfl⟩
change b * a * 1 * a⁻¹ ∈ H
rwa [mul_one, mul_inv_cancel_right]
· rintro (h : b * a⁻¹ ∈ H)
exact ⟨b * a⁻¹, h, 1, rfl, by rw [mul_one, inv_mul_cancel_right]⟩
#align doset.rel_bot_eq_right_group_rel Doset.rel_bot_eq_right_group_rel
/-- Create a doset out of an element of `H \ G / K`-/
def quotToDoset (H K : Subgroup G) (q : Quotient (H : Set G) K) : Set G :=
doset q.out' H K
#align doset.quot_to_doset Doset.quotToDoset
/-- Map from `G` to `H \ G / K`-/
abbrev mk (H K : Subgroup G) (a : G) : Quotient (H : Set G) K :=
Quotient.mk'' a
#align doset.mk Doset.mk
instance (H K : Subgroup G) : Inhabited (Quotient (H : Set G) K) :=
⟨mk H K (1 : G)⟩
theorem eq (H K : Subgroup G) (a b : G) :
mk H K a = mk H K b ↔ ∃ h ∈ H, ∃ k ∈ K, b = h * a * k := by
rw [Quotient.eq'']
apply rel_iff
#align doset.eq Doset.eq
theorem out_eq' (H K : Subgroup G) (q : Quotient ↑H ↑K) : mk H K q.out' = q :=
Quotient.out_eq' q
#align doset.out_eq' Doset.out_eq'
| Mathlib/GroupTheory/DoubleCoset.lean | 140 | 146 | theorem mk_out'_eq_mul (H K : Subgroup G) (g : G) :
∃ h k : G, h ∈ H ∧ k ∈ K ∧ (mk H K g : Quotient ↑H ↑K).out' = h * g * k := by |
have := eq H K (mk H K g : Quotient ↑H ↑K).out' g
rw [out_eq'] at this
obtain ⟨h, h_h, k, hk, T⟩ := this.1 rfl
refine ⟨h⁻¹, k⁻¹, H.inv_mem h_h, K.inv_mem hk, eq_mul_inv_of_mul_eq (eq_inv_mul_of_mul_eq ?_)⟩
rw [← mul_assoc, ← T]
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn
-/
import Mathlib.Algebra.Bounds
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Data.Real.Basic
import Mathlib.Order.Interval.Set.Disjoint
#align_import data.real.basic from "leanprover-community/mathlib"@"cb42593171ba005beaaf4549fcfe0dece9ada4c9"
/-!
# The real numbers are an Archimedean floor ring, and a conditionally complete linear order.
-/
open scoped Classical
open Pointwise CauSeq
namespace Real
instance instArchimedean : Archimedean ℝ :=
archimedean_iff_rat_le.2 fun x =>
Real.ind_mk x fun f =>
let ⟨M, _, H⟩ := f.bounded' 0
⟨M, mk_le_of_forall_le ⟨0, fun i _ => Rat.cast_le.2 <| le_of_lt (abs_lt.1 (H i)).2⟩⟩
#align real.archimedean Real.instArchimedean
noncomputable instance : FloorRing ℝ :=
Archimedean.floorRing _
theorem isCauSeq_iff_lift {f : ℕ → ℚ} : IsCauSeq abs f ↔ IsCauSeq abs fun i => (f i : ℝ) where
mp H ε ε0 :=
let ⟨δ, δ0, δε⟩ := exists_pos_rat_lt ε0
(H _ δ0).imp fun i hi j ij => by dsimp; exact lt_trans (mod_cast hi _ ij) δε
mpr H ε ε0 :=
(H _ (Rat.cast_pos.2 ε0)).imp fun i hi j ij => by dsimp at hi; exact mod_cast hi _ ij
#align real.is_cau_seq_iff_lift Real.isCauSeq_iff_lift
theorem of_near (f : ℕ → ℚ) (x : ℝ) (h : ∀ ε > 0, ∃ i, ∀ j ≥ i, |(f j : ℝ) - x| < ε) :
∃ h', Real.mk ⟨f, h'⟩ = x :=
⟨isCauSeq_iff_lift.2 (CauSeq.of_near _ (const abs x) h),
sub_eq_zero.1 <|
abs_eq_zero.1 <|
(eq_of_le_of_forall_le_of_dense (abs_nonneg _)) fun _ε ε0 =>
mk_near_of_forall_near <| (h _ ε0).imp fun _i h j ij => le_of_lt (h j ij)⟩
#align real.of_near Real.of_near
theorem exists_floor (x : ℝ) : ∃ ub : ℤ, (ub : ℝ) ≤ x ∧ ∀ z : ℤ, (z : ℝ) ≤ x → z ≤ ub :=
Int.exists_greatest_of_bdd
(let ⟨n, hn⟩ := exists_int_gt x
⟨n, fun _ h' => Int.cast_le.1 <| le_trans h' <| le_of_lt hn⟩)
(let ⟨n, hn⟩ := exists_int_lt x
⟨n, le_of_lt hn⟩)
#align real.exists_floor Real.exists_floor
theorem exists_isLUB {S : Set ℝ} (hne : S.Nonempty) (hbdd : BddAbove S) : ∃ x, IsLUB S x := by
rcases hne, hbdd with ⟨⟨L, hL⟩, ⟨U, hU⟩⟩
have : ∀ d : ℕ, BddAbove { m : ℤ | ∃ y ∈ S, (m : ℝ) ≤ y * d } := by
cases' exists_int_gt U with k hk
refine fun d => ⟨k * d, fun z h => ?_⟩
rcases h with ⟨y, yS, hy⟩
refine Int.cast_le.1 (hy.trans ?_)
push_cast
exact mul_le_mul_of_nonneg_right ((hU yS).trans hk.le) d.cast_nonneg
choose f hf using fun d : ℕ =>
Int.exists_greatest_of_bdd (this d) ⟨⌊L * d⌋, L, hL, Int.floor_le _⟩
have hf₁ : ∀ n > 0, ∃ y ∈ S, ((f n / n : ℚ) : ℝ) ≤ y := fun n n0 =>
let ⟨y, yS, hy⟩ := (hf n).1
⟨y, yS, by simpa using (div_le_iff (Nat.cast_pos.2 n0 : (_ : ℝ) < _)).2 hy⟩
have hf₂ : ∀ n > 0, ∀ y ∈ S, (y - ((n : ℕ) : ℝ)⁻¹) < (f n / n : ℚ) := by
intro n n0 y yS
have := (Int.sub_one_lt_floor _).trans_le (Int.cast_le.2 <| (hf n).2 _ ⟨y, yS, Int.floor_le _⟩)
simp only [Rat.cast_div, Rat.cast_intCast, Rat.cast_natCast, gt_iff_lt]
rwa [lt_div_iff (Nat.cast_pos.2 n0 : (_ : ℝ) < _), sub_mul, _root_.inv_mul_cancel]
exact ne_of_gt (Nat.cast_pos.2 n0)
have hg : IsCauSeq abs (fun n => f n / n : ℕ → ℚ) := by
intro ε ε0
suffices ∀ j ≥ ⌈ε⁻¹⌉₊, ∀ k ≥ ⌈ε⁻¹⌉₊, (f j / j - f k / k : ℚ) < ε by
refine ⟨_, fun j ij => abs_lt.2 ⟨?_, this _ ij _ le_rfl⟩⟩
rw [neg_lt, neg_sub]
exact this _ le_rfl _ ij
intro j ij k ik
replace ij := le_trans (Nat.le_ceil _) (Nat.cast_le.2 ij)
replace ik := le_trans (Nat.le_ceil _) (Nat.cast_le.2 ik)
have j0 := Nat.cast_pos.1 ((inv_pos.2 ε0).trans_le ij)
have k0 := Nat.cast_pos.1 ((inv_pos.2 ε0).trans_le ik)
rcases hf₁ _ j0 with ⟨y, yS, hy⟩
refine lt_of_lt_of_le ((Rat.cast_lt (K := ℝ)).1 ?_) ((inv_le ε0 (Nat.cast_pos.2 k0)).1 ik)
simpa using sub_lt_iff_lt_add'.2 (lt_of_le_of_lt hy <| sub_lt_iff_lt_add.1 <| hf₂ _ k0 _ yS)
let g : CauSeq ℚ abs := ⟨fun n => f n / n, hg⟩
refine ⟨mk g, ⟨fun x xS => ?_, fun y h => ?_⟩⟩
· refine le_of_forall_ge_of_dense fun z xz => ?_
cases' exists_nat_gt (x - z)⁻¹ with K hK
refine le_mk_of_forall_le ⟨K, fun n nK => ?_⟩
replace xz := sub_pos.2 xz
replace hK := hK.le.trans (Nat.cast_le.2 nK)
have n0 : 0 < n := Nat.cast_pos.1 ((inv_pos.2 xz).trans_le hK)
refine le_trans ?_ (hf₂ _ n0 _ xS).le
rwa [le_sub_comm, inv_le (Nat.cast_pos.2 n0 : (_ : ℝ) < _) xz]
· exact
mk_le_of_forall_le
⟨1, fun n n1 =>
let ⟨x, xS, hx⟩ := hf₁ _ n1
le_trans hx (h xS)⟩
#align real.exists_is_lub Real.exists_isLUB
/-- A nonempty, bounded below set of real numbers has a greatest lower bound. -/
theorem exists_isGLB {S : Set ℝ} (hne : S.Nonempty) (hbdd : BddBelow S) : ∃ x, IsGLB S x := by
have hne' : (-S).Nonempty := Set.nonempty_neg.mpr hne
have hbdd' : BddAbove (-S) := bddAbove_neg.mpr hbdd
use -Classical.choose (Real.exists_isLUB hne' hbdd')
rw [← isLUB_neg]
exact Classical.choose_spec (Real.exists_isLUB hne' hbdd')
noncomputable instance : SupSet ℝ :=
⟨fun S => if h : S.Nonempty ∧ BddAbove S then Classical.choose (exists_isLUB h.1 h.2) else 0⟩
theorem sSup_def (S : Set ℝ) :
sSup S = if h : S.Nonempty ∧ BddAbove S then Classical.choose (exists_isLUB h.1 h.2) else 0 :=
rfl
#align real.Sup_def Real.sSup_def
protected theorem isLUB_sSup (S : Set ℝ) (h₁ : S.Nonempty) (h₂ : BddAbove S) :
IsLUB S (sSup S) := by
simp only [sSup_def, dif_pos (And.intro h₁ h₂)]
apply Classical.choose_spec
#align real.is_lub_Sup Real.isLUB_sSup
noncomputable instance : InfSet ℝ :=
⟨fun S => -sSup (-S)⟩
theorem sInf_def (S : Set ℝ) : sInf S = -sSup (-S) :=
rfl
#align real.Inf_def Real.sInf_def
protected theorem is_glb_sInf (S : Set ℝ) (h₁ : S.Nonempty) (h₂ : BddBelow S) :
IsGLB S (sInf S) := by
rw [sInf_def, ← isLUB_neg', neg_neg]
exact Real.isLUB_sSup _ h₁.neg h₂.neg
#align real.is_glb_Inf Real.is_glb_sInf
noncomputable instance : ConditionallyCompleteLinearOrder ℝ :=
{ Real.linearOrder, Real.lattice with
sSup := SupSet.sSup
sInf := InfSet.sInf
le_csSup := fun s a hs ha => (Real.isLUB_sSup s ⟨a, ha⟩ hs).1 ha
csSup_le := fun s a hs ha => (Real.isLUB_sSup s hs ⟨a, ha⟩).2 ha
csInf_le := fun s a hs ha => (Real.is_glb_sInf s ⟨a, ha⟩ hs).1 ha
le_csInf := fun s a hs ha => (Real.is_glb_sInf s hs ⟨a, ha⟩).2 ha
csSup_of_not_bddAbove := fun s hs ↦ by simp [hs, sSup_def]
csInf_of_not_bddBelow := fun s hs ↦ by simp [hs, sInf_def, sSup_def] }
theorem lt_sInf_add_pos {s : Set ℝ} (h : s.Nonempty) {ε : ℝ} (hε : 0 < ε) :
∃ a ∈ s, a < sInf s + ε :=
exists_lt_of_csInf_lt h <| lt_add_of_pos_right _ hε
#align real.lt_Inf_add_pos Real.lt_sInf_add_pos
theorem add_neg_lt_sSup {s : Set ℝ} (h : s.Nonempty) {ε : ℝ} (hε : ε < 0) :
∃ a ∈ s, sSup s + ε < a :=
exists_lt_of_lt_csSup h <| add_lt_iff_neg_left.2 hε
#align real.add_neg_lt_Sup Real.add_neg_lt_sSup
theorem sInf_le_iff {s : Set ℝ} (h : BddBelow s) (h' : s.Nonempty) {a : ℝ} :
sInf s ≤ a ↔ ∀ ε, 0 < ε → ∃ x ∈ s, x < a + ε := by
rw [le_iff_forall_pos_lt_add]
constructor <;> intro H ε ε_pos
· exact exists_lt_of_csInf_lt h' (H ε ε_pos)
· rcases H ε ε_pos with ⟨x, x_in, hx⟩
exact csInf_lt_of_lt h x_in hx
#align real.Inf_le_iff Real.sInf_le_iff
theorem le_sSup_iff {s : Set ℝ} (h : BddAbove s) (h' : s.Nonempty) {a : ℝ} :
a ≤ sSup s ↔ ∀ ε, ε < 0 → ∃ x ∈ s, a + ε < x := by
rw [le_iff_forall_pos_lt_add]
refine ⟨fun H ε ε_neg => ?_, fun H ε ε_pos => ?_⟩
· exact exists_lt_of_lt_csSup h' (lt_sub_iff_add_lt.mp (H _ (neg_pos.mpr ε_neg)))
· rcases H _ (neg_lt_zero.mpr ε_pos) with ⟨x, x_in, hx⟩
exact sub_lt_iff_lt_add.mp (lt_csSup_of_lt h x_in hx)
#align real.le_Sup_iff Real.le_sSup_iff
@[simp]
theorem sSup_empty : sSup (∅ : Set ℝ) = 0 :=
dif_neg <| by simp
#align real.Sup_empty Real.sSup_empty
@[simp] lemma iSup_of_isEmpty {α : Sort*} [IsEmpty α] (f : α → ℝ) : ⨆ i, f i = 0 := by
dsimp [iSup]
convert Real.sSup_empty
rw [Set.range_eq_empty_iff]
infer_instance
#align real.csupr_empty Real.iSup_of_isEmpty
@[simp]
theorem ciSup_const_zero {α : Sort*} : ⨆ _ : α, (0 : ℝ) = 0 := by
cases isEmpty_or_nonempty α
· exact Real.iSup_of_isEmpty _
· exact ciSup_const
#align real.csupr_const_zero Real.ciSup_const_zero
theorem sSup_of_not_bddAbove {s : Set ℝ} (hs : ¬BddAbove s) : sSup s = 0 :=
dif_neg fun h => hs h.2
#align real.Sup_of_not_bdd_above Real.sSup_of_not_bddAbove
theorem iSup_of_not_bddAbove {α : Sort*} {f : α → ℝ} (hf : ¬BddAbove (Set.range f)) :
⨆ i, f i = 0 :=
sSup_of_not_bddAbove hf
#align real.supr_of_not_bdd_above Real.iSup_of_not_bddAbove
theorem sSup_univ : sSup (@Set.univ ℝ) = 0 := Real.sSup_of_not_bddAbove not_bddAbove_univ
#align real.Sup_univ Real.sSup_univ
@[simp]
theorem sInf_empty : sInf (∅ : Set ℝ) = 0 := by simp [sInf_def, sSup_empty]
#align real.Inf_empty Real.sInf_empty
@[simp] nonrec lemma iInf_of_isEmpty {α : Sort*} [IsEmpty α] (f : α → ℝ) : ⨅ i, f i = 0 := by
rw [iInf_of_isEmpty, sInf_empty]
#align real.cinfi_empty Real.iInf_of_isEmpty
@[simp]
| Mathlib/Data/Real/Archimedean.lean | 223 | 226 | theorem ciInf_const_zero {α : Sort*} : ⨅ _ : α, (0 : ℝ) = 0 := by |
cases isEmpty_or_nonempty α
· exact Real.iInf_of_isEmpty _
· exact ciInf_const
|
/-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.Algebra.Group.Ext
import Mathlib.CategoryTheory.Limits.Shapes.Biproducts
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.BinaryProducts
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Biproducts
import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Products
import Mathlib.CategoryTheory.Preadditive.Basic
import Mathlib.Tactic.Abel
#align_import category_theory.preadditive.biproducts from "leanprover-community/mathlib"@"a176cb1219e300e85793d44583dede42377b51af"
/-!
# Basic facts about biproducts in preadditive categories.
In (or between) preadditive categories,
* Any biproduct satisfies the equality
`total : ∑ j : J, biproduct.π f j ≫ biproduct.ι f j = 𝟙 (⨁ f)`,
or, in the binary case, `total : fst ≫ inl + snd ≫ inr = 𝟙 X`.
* Any (binary) `product` or (binary) `coproduct` is a (binary) `biproduct`.
* In any category (with zero morphisms), if `biprod.map f g` is an isomorphism,
then both `f` and `g` are isomorphisms.
* If `f` is a morphism `X₁ ⊞ X₂ ⟶ Y₁ ⊞ Y₂` whose `X₁ ⟶ Y₁` entry is an isomorphism,
then we can construct isomorphisms `L : X₁ ⊞ X₂ ≅ X₁ ⊞ X₂` and `R : Y₁ ⊞ Y₂ ≅ Y₁ ⊞ Y₂`
so that `L.hom ≫ g ≫ R.hom` is diagonal (with `X₁ ⟶ Y₁` component still `f`),
via Gaussian elimination.
* As a corollary of the previous two facts,
if we have an isomorphism `X₁ ⊞ X₂ ≅ Y₁ ⊞ Y₂` whose `X₁ ⟶ Y₁` entry is an isomorphism,
we can construct an isomorphism `X₂ ≅ Y₂`.
* If `f : W ⊞ X ⟶ Y ⊞ Z` is an isomorphism, either `𝟙 W = 0`,
or at least one of the component maps `W ⟶ Y` and `W ⟶ Z` is nonzero.
* If `f : ⨁ S ⟶ ⨁ T` is an isomorphism,
then every column (corresponding to a nonzero summand in the domain)
has some nonzero matrix entry.
* A functor preserves a biproduct if and only if it preserves
the corresponding product if and only if it preserves the corresponding coproduct.
There are connections between this material and the special case of the category whose morphisms are
matrices over a ring, in particular the Schur complement (see
`Mathlib.LinearAlgebra.Matrix.SchurComplement`). In particular, the declarations
`CategoryTheory.Biprod.isoElim`, `CategoryTheory.Biprod.gaussian`
and `Matrix.invertibleOfFromBlocks₁₁Invertible` are all closely related.
-/
open CategoryTheory
open CategoryTheory.Preadditive
open CategoryTheory.Limits
open CategoryTheory.Functor
open CategoryTheory.Preadditive
open scoped Classical
universe v v' u u'
noncomputable section
namespace CategoryTheory
variable {C : Type u} [Category.{v} C] [Preadditive C]
namespace Limits
section Fintype
variable {J : Type} [Fintype J]
/-- In a preadditive category, we can construct a biproduct for `f : J → C` from
any bicone `b` for `f` satisfying `total : ∑ j : J, b.π j ≫ b.ι j = 𝟙 b.X`.
(That is, such a bicone is a limit cone and a colimit cocone.)
-/
def isBilimitOfTotal {f : J → C} (b : Bicone f) (total : ∑ j : J, b.π j ≫ b.ι j = 𝟙 b.pt) :
b.IsBilimit where
isLimit :=
{ lift := fun s => ∑ j : J, s.π.app ⟨j⟩ ≫ b.ι j
uniq := fun s m h => by
erw [← Category.comp_id m, ← total, comp_sum]
apply Finset.sum_congr rfl
intro j _
have reassoced : m ≫ Bicone.π b j ≫ Bicone.ι b j = s.π.app ⟨j⟩ ≫ Bicone.ι b j := by
erw [← Category.assoc, eq_whisker (h ⟨j⟩)]
rw [reassoced]
fac := fun s j => by
cases j
simp only [sum_comp, Category.assoc, Bicone.toCone_π_app, b.ι_π, comp_dite]
-- See note [dsimp, simp].
dsimp;
simp }
isColimit :=
{ desc := fun s => ∑ j : J, b.π j ≫ s.ι.app ⟨j⟩
uniq := fun s m h => by
erw [← Category.id_comp m, ← total, sum_comp]
apply Finset.sum_congr rfl
intro j _
erw [Category.assoc, h ⟨j⟩]
fac := fun s j => by
cases j
simp only [comp_sum, ← Category.assoc, Bicone.toCocone_ι_app, b.ι_π, dite_comp]
dsimp; simp }
#align category_theory.limits.is_bilimit_of_total CategoryTheory.Limits.isBilimitOfTotal
theorem IsBilimit.total {f : J → C} {b : Bicone f} (i : b.IsBilimit) :
∑ j : J, b.π j ≫ b.ι j = 𝟙 b.pt :=
i.isLimit.hom_ext fun j => by
cases j
simp [sum_comp, b.ι_π, comp_dite]
#align category_theory.limits.is_bilimit.total CategoryTheory.Limits.IsBilimit.total
/-- In a preadditive category, we can construct a biproduct for `f : J → C` from
any bicone `b` for `f` satisfying `total : ∑ j : J, b.π j ≫ b.ι j = 𝟙 b.X`.
(That is, such a bicone is a limit cone and a colimit cocone.)
-/
theorem hasBiproduct_of_total {f : J → C} (b : Bicone f)
(total : ∑ j : J, b.π j ≫ b.ι j = 𝟙 b.pt) : HasBiproduct f :=
HasBiproduct.mk
{ bicone := b
isBilimit := isBilimitOfTotal b total }
#align category_theory.limits.has_biproduct_of_total CategoryTheory.Limits.hasBiproduct_of_total
/-- In a preadditive category, any finite bicone which is a limit cone is in fact a bilimit
bicone. -/
def isBilimitOfIsLimit {f : J → C} (t : Bicone f) (ht : IsLimit t.toCone) : t.IsBilimit :=
isBilimitOfTotal _ <|
ht.hom_ext fun j => by
cases j
simp [sum_comp, t.ι_π, dite_comp, comp_dite]
#align category_theory.limits.is_bilimit_of_is_limit CategoryTheory.Limits.isBilimitOfIsLimit
/-- We can turn any limit cone over a pair into a bilimit bicone. -/
def biconeIsBilimitOfLimitConeOfIsLimit {f : J → C} {t : Cone (Discrete.functor f)}
(ht : IsLimit t) : (Bicone.ofLimitCone ht).IsBilimit :=
isBilimitOfIsLimit _ <|
IsLimit.ofIsoLimit ht <|
Cones.ext (Iso.refl _)
(by
rintro ⟨j⟩
aesop_cat)
#align category_theory.limits.bicone_is_bilimit_of_limit_cone_of_is_limit CategoryTheory.Limits.biconeIsBilimitOfLimitConeOfIsLimit
/-- In a preadditive category, any finite bicone which is a colimit cocone is in fact a bilimit
bicone. -/
def isBilimitOfIsColimit {f : J → C} (t : Bicone f) (ht : IsColimit t.toCocone) : t.IsBilimit :=
isBilimitOfTotal _ <|
ht.hom_ext fun j => by
cases j
simp_rw [Bicone.toCocone_ι_app, comp_sum, ← Category.assoc, t.ι_π, dite_comp]
simp
#align category_theory.limits.is_bilimit_of_is_colimit CategoryTheory.Limits.isBilimitOfIsColimit
/-- We can turn any limit cone over a pair into a bilimit bicone. -/
def biconeIsBilimitOfColimitCoconeOfIsColimit {f : J → C} {t : Cocone (Discrete.functor f)}
(ht : IsColimit t) : (Bicone.ofColimitCocone ht).IsBilimit :=
isBilimitOfIsColimit _ <| IsColimit.ofIsoColimit ht <| Cocones.ext (Iso.refl _) <| by
rintro ⟨j⟩; simp
#align category_theory.limits.bicone_is_bilimit_of_colimit_cocone_of_is_colimit CategoryTheory.Limits.biconeIsBilimitOfColimitCoconeOfIsColimit
end Fintype
section Finite
variable {J : Type} [Finite J]
/-- In a preadditive category, if the product over `f : J → C` exists,
then the biproduct over `f` exists. -/
theorem HasBiproduct.of_hasProduct (f : J → C) [HasProduct f] : HasBiproduct f := by
cases nonempty_fintype J
exact HasBiproduct.mk
{ bicone := _
isBilimit := biconeIsBilimitOfLimitConeOfIsLimit (limit.isLimit _) }
#align category_theory.limits.has_biproduct.of_has_product CategoryTheory.Limits.HasBiproduct.of_hasProduct
/-- In a preadditive category, if the coproduct over `f : J → C` exists,
then the biproduct over `f` exists. -/
theorem HasBiproduct.of_hasCoproduct (f : J → C) [HasCoproduct f] : HasBiproduct f := by
cases nonempty_fintype J
exact HasBiproduct.mk
{ bicone := _
isBilimit := biconeIsBilimitOfColimitCoconeOfIsColimit (colimit.isColimit _) }
#align category_theory.limits.has_biproduct.of_has_coproduct CategoryTheory.Limits.HasBiproduct.of_hasCoproduct
end Finite
/-- A preadditive category with finite products has finite biproducts. -/
theorem HasFiniteBiproducts.of_hasFiniteProducts [HasFiniteProducts C] : HasFiniteBiproducts C :=
⟨fun _ => { has_biproduct := fun _ => HasBiproduct.of_hasProduct _ }⟩
#align category_theory.limits.has_finite_biproducts.of_has_finite_products CategoryTheory.Limits.HasFiniteBiproducts.of_hasFiniteProducts
/-- A preadditive category with finite coproducts has finite biproducts. -/
theorem HasFiniteBiproducts.of_hasFiniteCoproducts [HasFiniteCoproducts C] :
HasFiniteBiproducts C :=
⟨fun _ => { has_biproduct := fun _ => HasBiproduct.of_hasCoproduct _ }⟩
#align category_theory.limits.has_finite_biproducts.of_has_finite_coproducts CategoryTheory.Limits.HasFiniteBiproducts.of_hasFiniteCoproducts
section HasBiproduct
variable {J : Type} [Fintype J] {f : J → C} [HasBiproduct f]
/-- In any preadditive category, any biproduct satsifies
`∑ j : J, biproduct.π f j ≫ biproduct.ι f j = 𝟙 (⨁ f)`
-/
@[simp]
theorem biproduct.total : ∑ j : J, biproduct.π f j ≫ biproduct.ι f j = 𝟙 (⨁ f) :=
IsBilimit.total (biproduct.isBilimit _)
#align category_theory.limits.biproduct.total CategoryTheory.Limits.biproduct.total
theorem biproduct.lift_eq {T : C} {g : ∀ j, T ⟶ f j} :
biproduct.lift g = ∑ j, g j ≫ biproduct.ι f j := by
ext j
simp only [sum_comp, biproduct.ι_π, comp_dite, biproduct.lift_π, Category.assoc, comp_zero,
Finset.sum_dite_eq', Finset.mem_univ, eqToHom_refl, Category.comp_id, if_true]
#align category_theory.limits.biproduct.lift_eq CategoryTheory.Limits.biproduct.lift_eq
theorem biproduct.desc_eq {T : C} {g : ∀ j, f j ⟶ T} :
biproduct.desc g = ∑ j, biproduct.π f j ≫ g j := by
ext j
simp [comp_sum, biproduct.ι_π_assoc, dite_comp]
#align category_theory.limits.biproduct.desc_eq CategoryTheory.Limits.biproduct.desc_eq
@[reassoc]
theorem biproduct.lift_desc {T U : C} {g : ∀ j, T ⟶ f j} {h : ∀ j, f j ⟶ U} :
biproduct.lift g ≫ biproduct.desc h = ∑ j : J, g j ≫ h j := by
simp [biproduct.lift_eq, biproduct.desc_eq, comp_sum, sum_comp, biproduct.ι_π_assoc, comp_dite,
dite_comp]
#align category_theory.limits.biproduct.lift_desc CategoryTheory.Limits.biproduct.lift_desc
theorem biproduct.map_eq [HasFiniteBiproducts C] {f g : J → C} {h : ∀ j, f j ⟶ g j} :
biproduct.map h = ∑ j : J, biproduct.π f j ≫ h j ≫ biproduct.ι g j := by
ext
simp [biproduct.ι_π, biproduct.ι_π_assoc, comp_sum, sum_comp, comp_dite, dite_comp]
#align category_theory.limits.biproduct.map_eq CategoryTheory.Limits.biproduct.map_eq
@[reassoc]
theorem biproduct.lift_matrix {K : Type} [Finite K] [HasFiniteBiproducts C] {f : J → C} {g : K → C}
{P} (x : ∀ j, P ⟶ f j) (m : ∀ j k, f j ⟶ g k) :
biproduct.lift x ≫ biproduct.matrix m = biproduct.lift fun k => ∑ j, x j ≫ m j k := by
ext
simp [biproduct.lift_desc]
#align category_theory.limits.biproduct.lift_matrix CategoryTheory.Limits.biproduct.lift_matrix
end HasBiproduct
section HasFiniteBiproducts
variable {J K : Type} [Finite J] {f : J → C} [HasFiniteBiproducts C]
@[reassoc]
theorem biproduct.matrix_desc [Fintype K] {f : J → C} {g : K → C}
(m : ∀ j k, f j ⟶ g k) {P} (x : ∀ k, g k ⟶ P) :
biproduct.matrix m ≫ biproduct.desc x = biproduct.desc fun j => ∑ k, m j k ≫ x k := by
ext
simp [lift_desc]
#align category_theory.limits.biproduct.matrix_desc CategoryTheory.Limits.biproduct.matrix_desc
variable [Finite K]
@[reassoc]
theorem biproduct.matrix_map {f : J → C} {g : K → C} {h : K → C} (m : ∀ j k, f j ⟶ g k)
(n : ∀ k, g k ⟶ h k) :
biproduct.matrix m ≫ biproduct.map n = biproduct.matrix fun j k => m j k ≫ n k := by
ext
simp
#align category_theory.limits.biproduct.matrix_map CategoryTheory.Limits.biproduct.matrix_map
@[reassoc]
theorem biproduct.map_matrix {f : J → C} {g : J → C} {h : K → C} (m : ∀ k, f k ⟶ g k)
(n : ∀ j k, g j ⟶ h k) :
biproduct.map m ≫ biproduct.matrix n = biproduct.matrix fun j k => m j ≫ n j k := by
ext
simp
#align category_theory.limits.biproduct.map_matrix CategoryTheory.Limits.biproduct.map_matrix
end HasFiniteBiproducts
/-- Reindex a categorical biproduct via an equivalence of the index types. -/
@[simps]
def biproduct.reindex {β γ : Type} [Finite β] (ε : β ≃ γ)
(f : γ → C) [HasBiproduct f] [HasBiproduct (f ∘ ε)] : ⨁ f ∘ ε ≅ ⨁ f where
hom := biproduct.desc fun b => biproduct.ι f (ε b)
inv := biproduct.lift fun b => biproduct.π f (ε b)
hom_inv_id := by
ext b b'
by_cases h : b' = b
· subst h; simp
· have : ε b' ≠ ε b := by simp [h]
simp [biproduct.ι_π_ne _ h, biproduct.ι_π_ne _ this]
inv_hom_id := by
cases nonempty_fintype β
ext g g'
by_cases h : g' = g <;>
simp [Preadditive.sum_comp, Preadditive.comp_sum, biproduct.lift_desc,
biproduct.ι_π, biproduct.ι_π_assoc, comp_dite, Equiv.apply_eq_iff_eq_symm_apply,
Finset.sum_dite_eq' Finset.univ (ε.symm g') _, h]
#align category_theory.limits.biproduct.reindex CategoryTheory.Limits.biproduct.reindex
/-- In a preadditive category, we can construct a binary biproduct for `X Y : C` from
any binary bicone `b` satisfying `total : b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.X`.
(That is, such a bicone is a limit cone and a colimit cocone.)
-/
def isBinaryBilimitOfTotal {X Y : C} (b : BinaryBicone X Y)
(total : b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.pt) : b.IsBilimit where
isLimit :=
{ lift := fun s =>
(BinaryFan.fst s ≫ b.inl : s.pt ⟶ b.pt) + (BinaryFan.snd s ≫ b.inr : s.pt ⟶ b.pt)
uniq := fun s m h => by
have reassoced (j : WalkingPair) {W : C} (h' : _ ⟶ W) :
m ≫ b.toCone.π.app ⟨j⟩ ≫ h' = s.π.app ⟨j⟩ ≫ h' := by
rw [← Category.assoc, eq_whisker (h ⟨j⟩)]
erw [← Category.comp_id m, ← total, comp_add, reassoced WalkingPair.left,
reassoced WalkingPair.right]
fac := fun s j => by rcases j with ⟨⟨⟩⟩ <;> simp }
isColimit :=
{ desc := fun s =>
(b.fst ≫ BinaryCofan.inl s : b.pt ⟶ s.pt) + (b.snd ≫ BinaryCofan.inr s : b.pt ⟶ s.pt)
uniq := fun s m h => by
erw [← Category.id_comp m, ← total, add_comp, Category.assoc, Category.assoc,
h ⟨WalkingPair.left⟩, h ⟨WalkingPair.right⟩]
fac := fun s j => by rcases j with ⟨⟨⟩⟩ <;> simp }
#align category_theory.limits.is_binary_bilimit_of_total CategoryTheory.Limits.isBinaryBilimitOfTotal
theorem IsBilimit.binary_total {X Y : C} {b : BinaryBicone X Y} (i : b.IsBilimit) :
b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.pt :=
i.isLimit.hom_ext fun j => by rcases j with ⟨⟨⟩⟩ <;> simp
#align category_theory.limits.is_bilimit.binary_total CategoryTheory.Limits.IsBilimit.binary_total
/-- In a preadditive category, we can construct a binary biproduct for `X Y : C` from
any binary bicone `b` satisfying `total : b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.X`.
(That is, such a bicone is a limit cone and a colimit cocone.)
-/
theorem hasBinaryBiproduct_of_total {X Y : C} (b : BinaryBicone X Y)
(total : b.fst ≫ b.inl + b.snd ≫ b.inr = 𝟙 b.pt) : HasBinaryBiproduct X Y :=
HasBinaryBiproduct.mk
{ bicone := b
isBilimit := isBinaryBilimitOfTotal b total }
#align category_theory.limits.has_binary_biproduct_of_total CategoryTheory.Limits.hasBinaryBiproduct_of_total
/-- We can turn any limit cone over a pair into a bicone. -/
@[simps]
def BinaryBicone.ofLimitCone {X Y : C} {t : Cone (pair X Y)} (ht : IsLimit t) :
BinaryBicone X Y where
pt := t.pt
fst := t.π.app ⟨WalkingPair.left⟩
snd := t.π.app ⟨WalkingPair.right⟩
inl := ht.lift (BinaryFan.mk (𝟙 X) 0)
inr := ht.lift (BinaryFan.mk 0 (𝟙 Y))
#align category_theory.limits.binary_bicone.of_limit_cone CategoryTheory.Limits.BinaryBicone.ofLimitCone
theorem inl_of_isLimit {X Y : C} {t : BinaryBicone X Y} (ht : IsLimit t.toCone) :
t.inl = ht.lift (BinaryFan.mk (𝟙 X) 0) := by
apply ht.uniq (BinaryFan.mk (𝟙 X) 0); rintro ⟨⟨⟩⟩ <;> dsimp <;> simp
#align category_theory.limits.inl_of_is_limit CategoryTheory.Limits.inl_of_isLimit
theorem inr_of_isLimit {X Y : C} {t : BinaryBicone X Y} (ht : IsLimit t.toCone) :
t.inr = ht.lift (BinaryFan.mk 0 (𝟙 Y)) := by
apply ht.uniq (BinaryFan.mk 0 (𝟙 Y)); rintro ⟨⟨⟩⟩ <;> dsimp <;> simp
#align category_theory.limits.inr_of_is_limit CategoryTheory.Limits.inr_of_isLimit
/-- In a preadditive category, any binary bicone which is a limit cone is in fact a bilimit
bicone. -/
def isBinaryBilimitOfIsLimit {X Y : C} (t : BinaryBicone X Y) (ht : IsLimit t.toCone) :
t.IsBilimit :=
isBinaryBilimitOfTotal _ (by refine BinaryFan.IsLimit.hom_ext ht ?_ ?_ <;> simp)
#align category_theory.limits.is_binary_bilimit_of_is_limit CategoryTheory.Limits.isBinaryBilimitOfIsLimit
/-- We can turn any limit cone over a pair into a bilimit bicone. -/
def binaryBiconeIsBilimitOfLimitConeOfIsLimit {X Y : C} {t : Cone (pair X Y)} (ht : IsLimit t) :
(BinaryBicone.ofLimitCone ht).IsBilimit :=
isBinaryBilimitOfTotal _ <| BinaryFan.IsLimit.hom_ext ht (by simp) (by simp)
#align category_theory.limits.binary_bicone_is_bilimit_of_limit_cone_of_is_limit CategoryTheory.Limits.binaryBiconeIsBilimitOfLimitConeOfIsLimit
/-- In a preadditive category, if the product of `X` and `Y` exists, then the
binary biproduct of `X` and `Y` exists. -/
theorem HasBinaryBiproduct.of_hasBinaryProduct (X Y : C) [HasBinaryProduct X Y] :
HasBinaryBiproduct X Y :=
HasBinaryBiproduct.mk
{ bicone := _
isBilimit := binaryBiconeIsBilimitOfLimitConeOfIsLimit (limit.isLimit _) }
#align category_theory.limits.has_binary_biproduct.of_has_binary_product CategoryTheory.Limits.HasBinaryBiproduct.of_hasBinaryProduct
/-- In a preadditive category, if all binary products exist, then all binary biproducts exist. -/
theorem HasBinaryBiproducts.of_hasBinaryProducts [HasBinaryProducts C] : HasBinaryBiproducts C :=
{ has_binary_biproduct := fun X Y => HasBinaryBiproduct.of_hasBinaryProduct X Y }
#align category_theory.limits.has_binary_biproducts.of_has_binary_products CategoryTheory.Limits.HasBinaryBiproducts.of_hasBinaryProducts
/-- We can turn any colimit cocone over a pair into a bicone. -/
@[simps]
def BinaryBicone.ofColimitCocone {X Y : C} {t : Cocone (pair X Y)} (ht : IsColimit t) :
BinaryBicone X Y where
pt := t.pt
fst := ht.desc (BinaryCofan.mk (𝟙 X) 0)
snd := ht.desc (BinaryCofan.mk 0 (𝟙 Y))
inl := t.ι.app ⟨WalkingPair.left⟩
inr := t.ι.app ⟨WalkingPair.right⟩
#align category_theory.limits.binary_bicone.of_colimit_cocone CategoryTheory.Limits.BinaryBicone.ofColimitCocone
theorem fst_of_isColimit {X Y : C} {t : BinaryBicone X Y} (ht : IsColimit t.toCocone) :
t.fst = ht.desc (BinaryCofan.mk (𝟙 X) 0) := by
apply ht.uniq (BinaryCofan.mk (𝟙 X) 0)
rintro ⟨⟨⟩⟩ <;> dsimp <;> simp
#align category_theory.limits.fst_of_is_colimit CategoryTheory.Limits.fst_of_isColimit
theorem snd_of_isColimit {X Y : C} {t : BinaryBicone X Y} (ht : IsColimit t.toCocone) :
t.snd = ht.desc (BinaryCofan.mk 0 (𝟙 Y)) := by
apply ht.uniq (BinaryCofan.mk 0 (𝟙 Y))
rintro ⟨⟨⟩⟩ <;> dsimp <;> simp
#align category_theory.limits.snd_of_is_colimit CategoryTheory.Limits.snd_of_isColimit
/-- In a preadditive category, any binary bicone which is a colimit cocone is in fact a
bilimit bicone. -/
def isBinaryBilimitOfIsColimit {X Y : C} (t : BinaryBicone X Y) (ht : IsColimit t.toCocone) :
t.IsBilimit :=
isBinaryBilimitOfTotal _ <| by
refine BinaryCofan.IsColimit.hom_ext ht ?_ ?_ <;> simp
#align category_theory.limits.is_binary_bilimit_of_is_colimit CategoryTheory.Limits.isBinaryBilimitOfIsColimit
/-- We can turn any colimit cocone over a pair into a bilimit bicone. -/
def binaryBiconeIsBilimitOfColimitCoconeOfIsColimit {X Y : C} {t : Cocone (pair X Y)}
(ht : IsColimit t) : (BinaryBicone.ofColimitCocone ht).IsBilimit :=
isBinaryBilimitOfIsColimit (BinaryBicone.ofColimitCocone ht) <|
IsColimit.ofIsoColimit ht <|
Cocones.ext (Iso.refl _) fun j => by
rcases j with ⟨⟨⟩⟩ <;> simp
#align category_theory.limits.binary_bicone_is_bilimit_of_colimit_cocone_of_is_colimit CategoryTheory.Limits.binaryBiconeIsBilimitOfColimitCoconeOfIsColimit
/-- In a preadditive category, if the coproduct of `X` and `Y` exists, then the
binary biproduct of `X` and `Y` exists. -/
theorem HasBinaryBiproduct.of_hasBinaryCoproduct (X Y : C) [HasBinaryCoproduct X Y] :
HasBinaryBiproduct X Y :=
HasBinaryBiproduct.mk
{ bicone := _
isBilimit := binaryBiconeIsBilimitOfColimitCoconeOfIsColimit (colimit.isColimit _) }
#align category_theory.limits.has_binary_biproduct.of_has_binary_coproduct CategoryTheory.Limits.HasBinaryBiproduct.of_hasBinaryCoproduct
/-- In a preadditive category, if all binary coproducts exist, then all binary biproducts exist. -/
theorem HasBinaryBiproducts.of_hasBinaryCoproducts [HasBinaryCoproducts C] :
HasBinaryBiproducts C :=
{ has_binary_biproduct := fun X Y => HasBinaryBiproduct.of_hasBinaryCoproduct X Y }
#align category_theory.limits.has_binary_biproducts.of_has_binary_coproducts CategoryTheory.Limits.HasBinaryBiproducts.of_hasBinaryCoproducts
section
variable {X Y : C} [HasBinaryBiproduct X Y]
/-- In any preadditive category, any binary biproduct satsifies
`biprod.fst ≫ biprod.inl + biprod.snd ≫ biprod.inr = 𝟙 (X ⊞ Y)`.
-/
@[simp]
theorem biprod.total : biprod.fst ≫ biprod.inl + biprod.snd ≫ biprod.inr = 𝟙 (X ⊞ Y) := by
ext <;> simp [add_comp]
#align category_theory.limits.biprod.total CategoryTheory.Limits.biprod.total
theorem biprod.lift_eq {T : C} {f : T ⟶ X} {g : T ⟶ Y} :
biprod.lift f g = f ≫ biprod.inl + g ≫ biprod.inr := by ext <;> simp [add_comp]
#align category_theory.limits.biprod.lift_eq CategoryTheory.Limits.biprod.lift_eq
theorem biprod.desc_eq {T : C} {f : X ⟶ T} {g : Y ⟶ T} :
biprod.desc f g = biprod.fst ≫ f + biprod.snd ≫ g := by ext <;> simp [add_comp]
#align category_theory.limits.biprod.desc_eq CategoryTheory.Limits.biprod.desc_eq
@[reassoc (attr := simp)]
theorem biprod.lift_desc {T U : C} {f : T ⟶ X} {g : T ⟶ Y} {h : X ⟶ U} {i : Y ⟶ U} :
biprod.lift f g ≫ biprod.desc h i = f ≫ h + g ≫ i := by simp [biprod.lift_eq, biprod.desc_eq]
#align category_theory.limits.biprod.lift_desc CategoryTheory.Limits.biprod.lift_desc
theorem biprod.map_eq [HasBinaryBiproducts C] {W X Y Z : C} {f : W ⟶ Y} {g : X ⟶ Z} :
biprod.map f g = biprod.fst ≫ f ≫ biprod.inl + biprod.snd ≫ g ≫ biprod.inr := by
ext <;> simp
#align category_theory.limits.biprod.map_eq CategoryTheory.Limits.biprod.map_eq
/-- Every split mono `f` with a cokernel induces a binary bicone with `f` as its `inl` and
the cokernel map as its `snd`.
We will show in `is_bilimit_binary_bicone_of_split_mono_of_cokernel` that this binary bicone is in
fact already a biproduct. -/
@[simps]
def binaryBiconeOfIsSplitMonoOfCokernel {X Y : C} {f : X ⟶ Y} [IsSplitMono f] {c : CokernelCofork f}
(i : IsColimit c) : BinaryBicone X c.pt where
pt := Y
fst := retraction f
snd := c.π
inl := f
inr :=
let c' : CokernelCofork (𝟙 Y - (𝟙 Y - retraction f ≫ f)) :=
CokernelCofork.ofπ (Cofork.π c) (by simp)
let i' : IsColimit c' := isCokernelEpiComp i (retraction f) (by simp)
let i'' := isColimitCoforkOfCokernelCofork i'
(splitEpiOfIdempotentOfIsColimitCofork C (by simp) i'').section_
inl_fst := by simp
inl_snd := by simp
inr_fst := by
dsimp only
rw [splitEpiOfIdempotentOfIsColimitCofork_section_,
isColimitCoforkOfCokernelCofork_desc, isCokernelEpiComp_desc]
dsimp only [cokernelCoforkOfCofork_ofπ]
letI := epi_of_isColimit_cofork i
apply zero_of_epi_comp c.π
simp only [sub_comp, comp_sub, Category.comp_id, Category.assoc, IsSplitMono.id, sub_self,
Cofork.IsColimit.π_desc_assoc, CokernelCofork.π_ofπ, IsSplitMono.id_assoc]
apply sub_eq_zero_of_eq
apply Category.id_comp
inr_snd := by apply SplitEpi.id
#align category_theory.limits.binary_bicone_of_is_split_mono_of_cokernel CategoryTheory.Limits.binaryBiconeOfIsSplitMonoOfCokernel
/-- The bicone constructed in `binaryBiconeOfSplitMonoOfCokernel` is a bilimit.
This is a version of the splitting lemma that holds in all preadditive categories. -/
def isBilimitBinaryBiconeOfIsSplitMonoOfCokernel {X Y : C} {f : X ⟶ Y} [IsSplitMono f]
{c : CokernelCofork f} (i : IsColimit c) : (binaryBiconeOfIsSplitMonoOfCokernel i).IsBilimit :=
isBinaryBilimitOfTotal _
(by
simp only [binaryBiconeOfIsSplitMonoOfCokernel_fst,
binaryBiconeOfIsSplitMonoOfCokernel_inr,
binaryBiconeOfIsSplitMonoOfCokernel_snd,
splitEpiOfIdempotentOfIsColimitCofork_section_]
dsimp only [binaryBiconeOfIsSplitMonoOfCokernel_pt]
rw [isColimitCoforkOfCokernelCofork_desc, isCokernelEpiComp_desc]
simp only [binaryBiconeOfIsSplitMonoOfCokernel_inl, Cofork.IsColimit.π_desc,
cokernelCoforkOfCofork_π, Cofork.π_ofπ, add_sub_cancel])
#align category_theory.limits.is_bilimit_binary_bicone_of_is_split_mono_of_cokernel CategoryTheory.Limits.isBilimitBinaryBiconeOfIsSplitMonoOfCokernel
/-- If `b` is a binary bicone such that `b.inl` is a kernel of `b.snd`, then `b` is a bilimit
bicone. -/
def BinaryBicone.isBilimitOfKernelInl {X Y : C} (b : BinaryBicone X Y)
(hb : IsLimit b.sndKernelFork) : b.IsBilimit :=
isBinaryBilimitOfIsLimit _ <|
BinaryFan.IsLimit.mk _ (fun f g => f ≫ b.inl + g ≫ b.inr) (fun f g => by simp)
(fun f g => by simp) fun {T} f g m h₁ h₂ => by
dsimp at m
have h₁' : ((m : T ⟶ b.pt) - (f ≫ b.inl + g ≫ b.inr)) ≫ b.fst = 0 := by
simpa using sub_eq_zero.2 h₁
have h₂' : (m - (f ≫ b.inl + g ≫ b.inr)) ≫ b.snd = 0 := by simpa using sub_eq_zero.2 h₂
obtain ⟨q : T ⟶ X, hq : q ≫ b.inl = m - (f ≫ b.inl + g ≫ b.inr)⟩ :=
KernelFork.IsLimit.lift' hb _ h₂'
rw [← sub_eq_zero, ← hq, ← Category.comp_id q, ← b.inl_fst, ← Category.assoc, hq, h₁',
zero_comp]
#align category_theory.limits.binary_bicone.is_bilimit_of_kernel_inl CategoryTheory.Limits.BinaryBicone.isBilimitOfKernelInl
/-- If `b` is a binary bicone such that `b.inr` is a kernel of `b.fst`, then `b` is a bilimit
bicone. -/
def BinaryBicone.isBilimitOfKernelInr {X Y : C} (b : BinaryBicone X Y)
(hb : IsLimit b.fstKernelFork) : b.IsBilimit :=
isBinaryBilimitOfIsLimit _ <|
BinaryFan.IsLimit.mk _ (fun f g => f ≫ b.inl + g ≫ b.inr) (fun f g => by simp)
(fun f g => by simp) fun {T} f g m h₁ h₂ => by
dsimp at m
have h₁' : (m - (f ≫ b.inl + g ≫ b.inr)) ≫ b.fst = 0 := by simpa using sub_eq_zero.2 h₁
have h₂' : (m - (f ≫ b.inl + g ≫ b.inr)) ≫ b.snd = 0 := by simpa using sub_eq_zero.2 h₂
obtain ⟨q : T ⟶ Y, hq : q ≫ b.inr = m - (f ≫ b.inl + g ≫ b.inr)⟩ :=
KernelFork.IsLimit.lift' hb _ h₁'
rw [← sub_eq_zero, ← hq, ← Category.comp_id q, ← b.inr_snd, ← Category.assoc, hq, h₂',
zero_comp]
#align category_theory.limits.binary_bicone.is_bilimit_of_kernel_inr CategoryTheory.Limits.BinaryBicone.isBilimitOfKernelInr
/-- If `b` is a binary bicone such that `b.fst` is a cokernel of `b.inr`, then `b` is a bilimit
bicone. -/
def BinaryBicone.isBilimitOfCokernelFst {X Y : C} (b : BinaryBicone X Y)
(hb : IsColimit b.inrCokernelCofork) : b.IsBilimit :=
isBinaryBilimitOfIsColimit _ <|
BinaryCofan.IsColimit.mk _ (fun f g => b.fst ≫ f + b.snd ≫ g) (fun f g => by simp)
(fun f g => by simp) fun {T} f g m h₁ h₂ => by
dsimp at m
have h₁' : b.inl ≫ (m - (b.fst ≫ f + b.snd ≫ g)) = 0 := by simpa using sub_eq_zero.2 h₁
have h₂' : b.inr ≫ (m - (b.fst ≫ f + b.snd ≫ g)) = 0 := by simpa using sub_eq_zero.2 h₂
obtain ⟨q : X ⟶ T, hq : b.fst ≫ q = m - (b.fst ≫ f + b.snd ≫ g)⟩ :=
CokernelCofork.IsColimit.desc' hb _ h₂'
rw [← sub_eq_zero, ← hq, ← Category.id_comp q, ← b.inl_fst, Category.assoc, hq, h₁',
comp_zero]
#align category_theory.limits.binary_bicone.is_bilimit_of_cokernel_fst CategoryTheory.Limits.BinaryBicone.isBilimitOfCokernelFst
/-- If `b` is a binary bicone such that `b.snd` is a cokernel of `b.inl`, then `b` is a bilimit
bicone. -/
def BinaryBicone.isBilimitOfCokernelSnd {X Y : C} (b : BinaryBicone X Y)
(hb : IsColimit b.inlCokernelCofork) : b.IsBilimit :=
isBinaryBilimitOfIsColimit _ <|
BinaryCofan.IsColimit.mk _ (fun f g => b.fst ≫ f + b.snd ≫ g) (fun f g => by simp)
(fun f g => by simp) fun {T} f g m h₁ h₂ => by
dsimp at m
have h₁' : b.inl ≫ (m - (b.fst ≫ f + b.snd ≫ g)) = 0 := by simpa using sub_eq_zero.2 h₁
have h₂' : b.inr ≫ (m - (b.fst ≫ f + b.snd ≫ g)) = 0 := by simpa using sub_eq_zero.2 h₂
obtain ⟨q : Y ⟶ T, hq : b.snd ≫ q = m - (b.fst ≫ f + b.snd ≫ g)⟩ :=
CokernelCofork.IsColimit.desc' hb _ h₁'
rw [← sub_eq_zero, ← hq, ← Category.id_comp q, ← b.inr_snd, Category.assoc, hq, h₂',
comp_zero]
#align category_theory.limits.binary_bicone.is_bilimit_of_cokernel_snd CategoryTheory.Limits.BinaryBicone.isBilimitOfCokernelSnd
/-- Every split epi `f` with a kernel induces a binary bicone with `f` as its `snd` and
the kernel map as its `inl`.
We will show in `binary_bicone_of_is_split_mono_of_cokernel` that this binary bicone is in fact
already a biproduct. -/
@[simps]
def binaryBiconeOfIsSplitEpiOfKernel {X Y : C} {f : X ⟶ Y} [IsSplitEpi f] {c : KernelFork f}
(i : IsLimit c) : BinaryBicone c.pt Y :=
{ pt := X
fst :=
let c' : KernelFork (𝟙 X - (𝟙 X - f ≫ section_ f)) := KernelFork.ofι (Fork.ι c) (by simp)
let i' : IsLimit c' := isKernelCompMono i (section_ f) (by simp)
let i'' := isLimitForkOfKernelFork i'
(splitMonoOfIdempotentOfIsLimitFork C (by simp) i'').retraction
snd := f
inl := c.ι
inr := section_ f
inl_fst := by apply SplitMono.id
inl_snd := by simp
inr_fst := by
dsimp only
rw [splitMonoOfIdempotentOfIsLimitFork_retraction, isLimitForkOfKernelFork_lift,
isKernelCompMono_lift]
dsimp only [kernelForkOfFork_ι]
letI := mono_of_isLimit_fork i
apply zero_of_comp_mono c.ι
simp only [comp_sub, Category.comp_id, Category.assoc, sub_self, Fork.IsLimit.lift_ι,
Fork.ι_ofι, IsSplitEpi.id_assoc]
inr_snd := by simp }
#align category_theory.limits.binary_bicone_of_is_split_epi_of_kernel CategoryTheory.Limits.binaryBiconeOfIsSplitEpiOfKernel
/-- The bicone constructed in `binaryBiconeOfIsSplitEpiOfKernel` is a bilimit.
This is a version of the splitting lemma that holds in all preadditive categories. -/
def isBilimitBinaryBiconeOfIsSplitEpiOfKernel {X Y : C} {f : X ⟶ Y} [IsSplitEpi f]
{c : KernelFork f} (i : IsLimit c) : (binaryBiconeOfIsSplitEpiOfKernel i).IsBilimit :=
BinaryBicone.isBilimitOfKernelInl _ <| i.ofIsoLimit <| Fork.ext (Iso.refl _) (by simp)
#align category_theory.limits.is_bilimit_binary_bicone_of_is_split_epi_of_kernel CategoryTheory.Limits.isBilimitBinaryBiconeOfIsSplitEpiOfKernel
end
section
variable {X Y : C} (f g : X ⟶ Y)
/-- The existence of binary biproducts implies that there is at most one preadditive structure. -/
theorem biprod.add_eq_lift_id_desc [HasBinaryBiproduct X X] :
f + g = biprod.lift (𝟙 X) (𝟙 X) ≫ biprod.desc f g := by simp
#align category_theory.limits.biprod.add_eq_lift_id_desc CategoryTheory.Limits.biprod.add_eq_lift_id_desc
/-- The existence of binary biproducts implies that there is at most one preadditive structure. -/
| Mathlib/CategoryTheory/Preadditive/Biproducts.lean | 652 | 653 | theorem biprod.add_eq_lift_desc_id [HasBinaryBiproduct Y Y] :
f + g = biprod.lift f g ≫ biprod.desc (𝟙 Y) (𝟙 Y) := by | simp
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro
-/
import Mathlib.Data.Finset.Update
import Mathlib.Data.Prod.TProd
import Mathlib.GroupTheory.Coset
import Mathlib.Logic.Equiv.Fin
import Mathlib.MeasureTheory.MeasurableSpace.Defs
import Mathlib.Order.Filter.SmallSets
import Mathlib.Order.LiminfLimsup
import Mathlib.Data.Set.UnionLift
#align_import measure_theory.measurable_space from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29"
/-!
# Measurable spaces and measurable functions
This file provides properties of measurable spaces and the functions and isomorphisms between them.
The definition of a measurable space is in `Mathlib/MeasureTheory/MeasurableSpace/Defs.lean`.
A measurable space is a set equipped with a σ-algebra, a collection of
subsets closed under complementation and countable union. A function
between measurable spaces is measurable if the preimage of each
measurable subset is measurable.
σ-algebras on a fixed set `α` form a complete lattice. Here we order
σ-algebras by writing `m₁ ≤ m₂` if every set which is `m₁`-measurable is
also `m₂`-measurable (that is, `m₁` is a subset of `m₂`). In particular, any
collection of subsets of `α` generates a smallest σ-algebra which
contains all of them. A function `f : α → β` induces a Galois connection
between the lattices of σ-algebras on `α` and `β`.
A measurable equivalence between measurable spaces is an equivalence
which respects the σ-algebras, that is, for which both directions of
the equivalence are measurable functions.
We say that a filter `f` is measurably generated if every set `s ∈ f` includes a measurable
set `t ∈ f`. This property is useful, e.g., to extract a measurable witness of `Filter.Eventually`.
## Notation
* We write `α ≃ᵐ β` for measurable equivalences between the measurable spaces `α` and `β`.
This should not be confused with `≃ₘ` which is used for diffeomorphisms between manifolds.
## Implementation notes
Measurability of a function `f : α → β` between measurable spaces is
defined in terms of the Galois connection induced by f.
## References
* <https://en.wikipedia.org/wiki/Measurable_space>
* <https://en.wikipedia.org/wiki/Sigma-algebra>
* <https://en.wikipedia.org/wiki/Dynkin_system>
## Tags
measurable space, σ-algebra, measurable function, measurable equivalence, dynkin system,
π-λ theorem, π-system
-/
open Set Encodable Function Equiv Filter MeasureTheory
universe uι
variable {α β γ δ δ' : Type*} {ι : Sort uι} {s t u : Set α}
namespace MeasurableSpace
section Functors
variable {m m₁ m₂ : MeasurableSpace α} {m' : MeasurableSpace β} {f : α → β} {g : β → α}
/-- The forward image of a measurable space under a function. `map f m` contains the sets
`s : Set β` whose preimage under `f` is measurable. -/
protected def map (f : α → β) (m : MeasurableSpace α) : MeasurableSpace β where
MeasurableSet' s := MeasurableSet[m] <| f ⁻¹' s
measurableSet_empty := m.measurableSet_empty
measurableSet_compl s hs := m.measurableSet_compl _ hs
measurableSet_iUnion f hf := by simpa only [preimage_iUnion] using m.measurableSet_iUnion _ hf
#align measurable_space.map MeasurableSpace.map
lemma map_def {s : Set β} : MeasurableSet[m.map f] s ↔ MeasurableSet[m] (f ⁻¹' s) := Iff.rfl
@[simp]
theorem map_id : m.map id = m :=
MeasurableSpace.ext fun _ => Iff.rfl
#align measurable_space.map_id MeasurableSpace.map_id
@[simp]
theorem map_comp {f : α → β} {g : β → γ} : (m.map f).map g = m.map (g ∘ f) :=
MeasurableSpace.ext fun _ => Iff.rfl
#align measurable_space.map_comp MeasurableSpace.map_comp
/-- The reverse image of a measurable space under a function. `comap f m` contains the sets
`s : Set α` such that `s` is the `f`-preimage of a measurable set in `β`. -/
protected def comap (f : α → β) (m : MeasurableSpace β) : MeasurableSpace α where
MeasurableSet' s := ∃ s', MeasurableSet[m] s' ∧ f ⁻¹' s' = s
measurableSet_empty := ⟨∅, m.measurableSet_empty, rfl⟩
measurableSet_compl := fun s ⟨s', h₁, h₂⟩ => ⟨s'ᶜ, m.measurableSet_compl _ h₁, h₂ ▸ rfl⟩
measurableSet_iUnion s hs :=
let ⟨s', hs'⟩ := Classical.axiom_of_choice hs
⟨⋃ i, s' i, m.measurableSet_iUnion _ fun i => (hs' i).left, by simp [hs']⟩
#align measurable_space.comap MeasurableSpace.comap
theorem comap_eq_generateFrom (m : MeasurableSpace β) (f : α → β) :
m.comap f = generateFrom { t | ∃ s, MeasurableSet s ∧ f ⁻¹' s = t } :=
(@generateFrom_measurableSet _ (.comap f m)).symm
#align measurable_space.comap_eq_generate_from MeasurableSpace.comap_eq_generateFrom
@[simp]
theorem comap_id : m.comap id = m :=
MeasurableSpace.ext fun s => ⟨fun ⟨_, hs', h⟩ => h ▸ hs', fun h => ⟨s, h, rfl⟩⟩
#align measurable_space.comap_id MeasurableSpace.comap_id
@[simp]
theorem comap_comp {f : β → α} {g : γ → β} : (m.comap f).comap g = m.comap (f ∘ g) :=
MeasurableSpace.ext fun _ =>
⟨fun ⟨_, ⟨u, h, hu⟩, ht⟩ => ⟨u, h, ht ▸ hu ▸ rfl⟩, fun ⟨t, h, ht⟩ => ⟨f ⁻¹' t, ⟨_, h, rfl⟩, ht⟩⟩
#align measurable_space.comap_comp MeasurableSpace.comap_comp
theorem comap_le_iff_le_map {f : α → β} : m'.comap f ≤ m ↔ m' ≤ m.map f :=
⟨fun h _s hs => h _ ⟨_, hs, rfl⟩, fun h _s ⟨_t, ht, heq⟩ => heq ▸ h _ ht⟩
#align measurable_space.comap_le_iff_le_map MeasurableSpace.comap_le_iff_le_map
theorem gc_comap_map (f : α → β) :
GaloisConnection (MeasurableSpace.comap f) (MeasurableSpace.map f) := fun _ _ =>
comap_le_iff_le_map
#align measurable_space.gc_comap_map MeasurableSpace.gc_comap_map
theorem map_mono (h : m₁ ≤ m₂) : m₁.map f ≤ m₂.map f :=
(gc_comap_map f).monotone_u h
#align measurable_space.map_mono MeasurableSpace.map_mono
theorem monotone_map : Monotone (MeasurableSpace.map f) := fun _ _ => map_mono
#align measurable_space.monotone_map MeasurableSpace.monotone_map
theorem comap_mono (h : m₁ ≤ m₂) : m₁.comap g ≤ m₂.comap g :=
(gc_comap_map g).monotone_l h
#align measurable_space.comap_mono MeasurableSpace.comap_mono
theorem monotone_comap : Monotone (MeasurableSpace.comap g) := fun _ _ h => comap_mono h
#align measurable_space.monotone_comap MeasurableSpace.monotone_comap
@[simp]
theorem comap_bot : (⊥ : MeasurableSpace α).comap g = ⊥ :=
(gc_comap_map g).l_bot
#align measurable_space.comap_bot MeasurableSpace.comap_bot
@[simp]
theorem comap_sup : (m₁ ⊔ m₂).comap g = m₁.comap g ⊔ m₂.comap g :=
(gc_comap_map g).l_sup
#align measurable_space.comap_sup MeasurableSpace.comap_sup
@[simp]
theorem comap_iSup {m : ι → MeasurableSpace α} : (⨆ i, m i).comap g = ⨆ i, (m i).comap g :=
(gc_comap_map g).l_iSup
#align measurable_space.comap_supr MeasurableSpace.comap_iSup
@[simp]
theorem map_top : (⊤ : MeasurableSpace α).map f = ⊤ :=
(gc_comap_map f).u_top
#align measurable_space.map_top MeasurableSpace.map_top
@[simp]
theorem map_inf : (m₁ ⊓ m₂).map f = m₁.map f ⊓ m₂.map f :=
(gc_comap_map f).u_inf
#align measurable_space.map_inf MeasurableSpace.map_inf
@[simp]
theorem map_iInf {m : ι → MeasurableSpace α} : (⨅ i, m i).map f = ⨅ i, (m i).map f :=
(gc_comap_map f).u_iInf
#align measurable_space.map_infi MeasurableSpace.map_iInf
theorem comap_map_le : (m.map f).comap f ≤ m :=
(gc_comap_map f).l_u_le _
#align measurable_space.comap_map_le MeasurableSpace.comap_map_le
theorem le_map_comap : m ≤ (m.comap g).map g :=
(gc_comap_map g).le_u_l _
#align measurable_space.le_map_comap MeasurableSpace.le_map_comap
end Functors
@[simp] theorem map_const {m} (b : β) : MeasurableSpace.map (fun _a : α ↦ b) m = ⊤ :=
eq_top_iff.2 <| fun s _ ↦ by rw [map_def]; by_cases h : b ∈ s <;> simp [h]
#align measurable_space.map_const MeasurableSpace.map_const
@[simp] theorem comap_const {m} (b : β) : MeasurableSpace.comap (fun _a : α => b) m = ⊥ :=
eq_bot_iff.2 <| by rintro _ ⟨s, -, rfl⟩; by_cases b ∈ s <;> simp [*]
#align measurable_space.comap_const MeasurableSpace.comap_const
theorem comap_generateFrom {f : α → β} {s : Set (Set β)} :
(generateFrom s).comap f = generateFrom (preimage f '' s) :=
le_antisymm
(comap_le_iff_le_map.2 <|
generateFrom_le fun _t hts => GenerateMeasurable.basic _ <| mem_image_of_mem _ <| hts)
(generateFrom_le fun _t ⟨u, hu, Eq⟩ => Eq ▸ ⟨u, GenerateMeasurable.basic _ hu, rfl⟩)
#align measurable_space.comap_generate_from MeasurableSpace.comap_generateFrom
end MeasurableSpace
section MeasurableFunctions
open MeasurableSpace
theorem measurable_iff_le_map {m₁ : MeasurableSpace α} {m₂ : MeasurableSpace β} {f : α → β} :
Measurable f ↔ m₂ ≤ m₁.map f :=
Iff.rfl
#align measurable_iff_le_map measurable_iff_le_map
alias ⟨Measurable.le_map, Measurable.of_le_map⟩ := measurable_iff_le_map
#align measurable.le_map Measurable.le_map
#align measurable.of_le_map Measurable.of_le_map
theorem measurable_iff_comap_le {m₁ : MeasurableSpace α} {m₂ : MeasurableSpace β} {f : α → β} :
Measurable f ↔ m₂.comap f ≤ m₁ :=
comap_le_iff_le_map.symm
#align measurable_iff_comap_le measurable_iff_comap_le
alias ⟨Measurable.comap_le, Measurable.of_comap_le⟩ := measurable_iff_comap_le
#align measurable.comap_le Measurable.comap_le
#align measurable.of_comap_le Measurable.of_comap_le
theorem comap_measurable {m : MeasurableSpace β} (f : α → β) : Measurable[m.comap f] f :=
fun s hs => ⟨s, hs, rfl⟩
#align comap_measurable comap_measurable
theorem Measurable.mono {ma ma' : MeasurableSpace α} {mb mb' : MeasurableSpace β} {f : α → β}
(hf : @Measurable α β ma mb f) (ha : ma ≤ ma') (hb : mb' ≤ mb) : @Measurable α β ma' mb' f :=
fun _t ht => ha _ <| hf <| hb _ ht
#align measurable.mono Measurable.mono
theorem measurable_id'' {m mα : MeasurableSpace α} (hm : m ≤ mα) : @Measurable α α mα m id :=
measurable_id.mono le_rfl hm
#align probability_theory.measurable_id'' measurable_id''
-- Porting note (#11215): TODO: add TC `DiscreteMeasurable` + instances
@[measurability]
theorem measurable_from_top [MeasurableSpace β] {f : α → β} : Measurable[⊤] f := fun _ _ => trivial
#align measurable_from_top measurable_from_top
theorem measurable_generateFrom [MeasurableSpace α] {s : Set (Set β)} {f : α → β}
(h : ∀ t ∈ s, MeasurableSet (f ⁻¹' t)) : @Measurable _ _ _ (generateFrom s) f :=
Measurable.of_le_map <| generateFrom_le h
#align measurable_generate_from measurable_generateFrom
variable {f g : α → β}
section TypeclassMeasurableSpace
variable [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ]
@[nontriviality, measurability]
theorem Subsingleton.measurable [Subsingleton α] : Measurable f := fun _ _ =>
@Subsingleton.measurableSet α _ _ _
#align subsingleton.measurable Subsingleton.measurable
@[nontriviality, measurability]
theorem measurable_of_subsingleton_codomain [Subsingleton β] (f : α → β) : Measurable f :=
fun s _ => Subsingleton.set_cases MeasurableSet.empty MeasurableSet.univ s
#align measurable_of_subsingleton_codomain measurable_of_subsingleton_codomain
@[to_additive (attr := measurability)]
theorem measurable_one [One α] : Measurable (1 : β → α) :=
@measurable_const _ _ _ _ 1
#align measurable_one measurable_one
#align measurable_zero measurable_zero
theorem measurable_of_empty [IsEmpty α] (f : α → β) : Measurable f :=
Subsingleton.measurable
#align measurable_of_empty measurable_of_empty
theorem measurable_of_empty_codomain [IsEmpty β] (f : α → β) : Measurable f :=
measurable_of_subsingleton_codomain f
#align measurable_of_empty_codomain measurable_of_empty_codomain
/-- A version of `measurable_const` that assumes `f x = f y` for all `x, y`. This version works
for functions between empty types. -/
theorem measurable_const' {f : β → α} (hf : ∀ x y, f x = f y) : Measurable f := by
nontriviality β
inhabit β
convert @measurable_const α β _ _ (f default) using 2
apply hf
#align measurable_const' measurable_const'
@[measurability]
theorem measurable_natCast [NatCast α] (n : ℕ) : Measurable (n : β → α) :=
@measurable_const α _ _ _ n
#align measurable_nat_cast measurable_natCast
@[measurability]
theorem measurable_intCast [IntCast α] (n : ℤ) : Measurable (n : β → α) :=
@measurable_const α _ _ _ n
#align measurable_int_cast measurable_intCast
theorem measurable_of_countable [Countable α] [MeasurableSingletonClass α] (f : α → β) :
Measurable f := fun s _ =>
(f ⁻¹' s).to_countable.measurableSet
#align measurable_of_countable measurable_of_countable
theorem measurable_of_finite [Finite α] [MeasurableSingletonClass α] (f : α → β) : Measurable f :=
measurable_of_countable f
#align measurable_of_finite measurable_of_finite
end TypeclassMeasurableSpace
variable {m : MeasurableSpace α}
@[measurability]
theorem Measurable.iterate {f : α → α} (hf : Measurable f) : ∀ n, Measurable f^[n]
| 0 => measurable_id
| n + 1 => (Measurable.iterate hf n).comp hf
#align measurable.iterate Measurable.iterate
variable {mβ : MeasurableSpace β}
@[measurability]
theorem measurableSet_preimage {t : Set β} (hf : Measurable f) (ht : MeasurableSet t) :
MeasurableSet (f ⁻¹' t) :=
hf ht
#align measurable_set_preimage measurableSet_preimage
-- Porting note (#10756): new theorem
protected theorem MeasurableSet.preimage {t : Set β} (ht : MeasurableSet t) (hf : Measurable f) :
MeasurableSet (f ⁻¹' t) :=
hf ht
@[measurability]
protected theorem Measurable.piecewise {_ : DecidablePred (· ∈ s)} (hs : MeasurableSet s)
(hf : Measurable f) (hg : Measurable g) : Measurable (piecewise s f g) := by
intro t ht
rw [piecewise_preimage]
exact hs.ite (hf ht) (hg ht)
#align measurable.piecewise Measurable.piecewise
/-- This is slightly different from `Measurable.piecewise`. It can be used to show
`Measurable (ite (x=0) 0 1)` by
`exact Measurable.ite (measurableSet_singleton 0) measurable_const measurable_const`,
but replacing `Measurable.ite` by `Measurable.piecewise` in that example proof does not work. -/
theorem Measurable.ite {p : α → Prop} {_ : DecidablePred p} (hp : MeasurableSet { a : α | p a })
(hf : Measurable f) (hg : Measurable g) : Measurable fun x => ite (p x) (f x) (g x) :=
Measurable.piecewise hp hf hg
#align measurable.ite Measurable.ite
@[measurability]
theorem Measurable.indicator [Zero β] (hf : Measurable f) (hs : MeasurableSet s) :
Measurable (s.indicator f) :=
hf.piecewise hs measurable_const
#align measurable.indicator Measurable.indicator
/-- The measurability of a set `A` is equivalent to the measurability of the indicator function
which takes a constant value `b ≠ 0` on a set `A` and `0` elsewhere. -/
lemma measurable_indicator_const_iff [Zero β] [MeasurableSingletonClass β] (b : β) [NeZero b] :
Measurable (s.indicator (fun (_ : α) ↦ b)) ↔ MeasurableSet s := by
constructor <;> intro h
· convert h (MeasurableSet.singleton (0 : β)).compl
ext a
simp [NeZero.ne b]
· exact measurable_const.indicator h
@[to_additive (attr := measurability)]
theorem measurableSet_mulSupport [One β] [MeasurableSingletonClass β] (hf : Measurable f) :
MeasurableSet (mulSupport f) :=
hf (measurableSet_singleton 1).compl
#align measurable_set_mul_support measurableSet_mulSupport
#align measurable_set_support measurableSet_support
/-- If a function coincides with a measurable function outside of a countable set, it is
measurable. -/
theorem Measurable.measurable_of_countable_ne [MeasurableSingletonClass α] (hf : Measurable f)
(h : Set.Countable { x | f x ≠ g x }) : Measurable g := by
intro t ht
have : g ⁻¹' t = g ⁻¹' t ∩ { x | f x = g x }ᶜ ∪ g ⁻¹' t ∩ { x | f x = g x } := by
simp [← inter_union_distrib_left]
rw [this]
refine (h.mono inter_subset_right).measurableSet.union ?_
have : g ⁻¹' t ∩ { x : α | f x = g x } = f ⁻¹' t ∩ { x : α | f x = g x } := by
ext x
simp (config := { contextual := true })
rw [this]
exact (hf ht).inter h.measurableSet.of_compl
#align measurable.measurable_of_countable_ne Measurable.measurable_of_countable_ne
end MeasurableFunctions
section Constructions
instance Empty.instMeasurableSpace : MeasurableSpace Empty := ⊤
#align empty.measurable_space Empty.instMeasurableSpace
instance PUnit.instMeasurableSpace : MeasurableSpace PUnit := ⊤
#align punit.measurable_space PUnit.instMeasurableSpace
instance Bool.instMeasurableSpace : MeasurableSpace Bool := ⊤
#align bool.measurable_space Bool.instMeasurableSpace
instance Prop.instMeasurableSpace : MeasurableSpace Prop := ⊤
#align Prop.measurable_space Prop.instMeasurableSpace
instance Nat.instMeasurableSpace : MeasurableSpace ℕ := ⊤
#align nat.measurable_space Nat.instMeasurableSpace
instance Fin.instMeasurableSpace (n : ℕ) : MeasurableSpace (Fin n) := ⊤
instance Int.instMeasurableSpace : MeasurableSpace ℤ := ⊤
#align int.measurable_space Int.instMeasurableSpace
instance Rat.instMeasurableSpace : MeasurableSpace ℚ := ⊤
#align rat.measurable_space Rat.instMeasurableSpace
instance Subsingleton.measurableSingletonClass {α} [MeasurableSpace α] [Subsingleton α] :
MeasurableSingletonClass α := by
refine ⟨fun i => ?_⟩
convert MeasurableSet.univ
simp [Set.eq_univ_iff_forall, eq_iff_true_of_subsingleton]
#noalign empty.measurable_singleton_class
#noalign punit.measurable_singleton_class
instance Bool.instMeasurableSingletonClass : MeasurableSingletonClass Bool := ⟨fun _ => trivial⟩
#align bool.measurable_singleton_class Bool.instMeasurableSingletonClass
instance Prop.instMeasurableSingletonClass : MeasurableSingletonClass Prop := ⟨fun _ => trivial⟩
#align Prop.measurable_singleton_class Prop.instMeasurableSingletonClass
instance Nat.instMeasurableSingletonClass : MeasurableSingletonClass ℕ := ⟨fun _ => trivial⟩
#align nat.measurable_singleton_class Nat.instMeasurableSingletonClass
instance Fin.instMeasurableSingletonClass (n : ℕ) : MeasurableSingletonClass (Fin n) :=
⟨fun _ => trivial⟩
instance Int.instMeasurableSingletonClass : MeasurableSingletonClass ℤ := ⟨fun _ => trivial⟩
#align int.measurable_singleton_class Int.instMeasurableSingletonClass
instance Rat.instMeasurableSingletonClass : MeasurableSingletonClass ℚ := ⟨fun _ => trivial⟩
#align rat.measurable_singleton_class Rat.instMeasurableSingletonClass
theorem measurable_to_countable [MeasurableSpace α] [Countable α] [MeasurableSpace β] {f : β → α}
(h : ∀ y, MeasurableSet (f ⁻¹' {f y})) : Measurable f := fun s _ => by
rw [← biUnion_preimage_singleton]
refine MeasurableSet.iUnion fun y => MeasurableSet.iUnion fun hy => ?_
by_cases hyf : y ∈ range f
· rcases hyf with ⟨y, rfl⟩
apply h
· simp only [preimage_singleton_eq_empty.2 hyf, MeasurableSet.empty]
#align measurable_to_countable measurable_to_countable
theorem measurable_to_countable' [MeasurableSpace α] [Countable α] [MeasurableSpace β] {f : β → α}
(h : ∀ x, MeasurableSet (f ⁻¹' {x})) : Measurable f :=
measurable_to_countable fun y => h (f y)
#align measurable_to_countable' measurable_to_countable'
@[measurability]
theorem measurable_unit [MeasurableSpace α] (f : Unit → α) : Measurable f :=
measurable_from_top
#align measurable_unit measurable_unit
section ULift
variable [MeasurableSpace α]
instance _root_.ULift.instMeasurableSpace : MeasurableSpace (ULift α) :=
‹MeasurableSpace α›.map ULift.up
lemma measurable_down : Measurable (ULift.down : ULift α → α) := fun _ ↦ id
lemma measurable_up : Measurable (ULift.up : α → ULift α) := fun _ ↦ id
@[simp] lemma measurableSet_preimage_down {s : Set α} :
MeasurableSet (ULift.down ⁻¹' s) ↔ MeasurableSet s := Iff.rfl
@[simp] lemma measurableSet_preimage_up {s : Set (ULift α)} :
MeasurableSet (ULift.up ⁻¹' s) ↔ MeasurableSet s := Iff.rfl
end ULift
section Nat
variable [MeasurableSpace α]
@[measurability]
theorem measurable_from_nat {f : ℕ → α} : Measurable f :=
measurable_from_top
#align measurable_from_nat measurable_from_nat
theorem measurable_to_nat {f : α → ℕ} : (∀ y, MeasurableSet (f ⁻¹' {f y})) → Measurable f :=
measurable_to_countable
#align measurable_to_nat measurable_to_nat
theorem measurable_to_bool {f : α → Bool} (h : MeasurableSet (f ⁻¹' {true})) : Measurable f := by
apply measurable_to_countable'
rintro (- | -)
· convert h.compl
rw [← preimage_compl, Bool.compl_singleton, Bool.not_true]
exact h
#align measurable_to_bool measurable_to_bool
theorem measurable_to_prop {f : α → Prop} (h : MeasurableSet (f ⁻¹' {True})) : Measurable f := by
refine measurable_to_countable' fun x => ?_
by_cases hx : x
· simpa [hx] using h
· simpa only [hx, ← preimage_compl, Prop.compl_singleton, not_true, preimage_singleton_false]
using h.compl
#align measurable_to_prop measurable_to_prop
theorem measurable_findGreatest' {p : α → ℕ → Prop} [∀ x, DecidablePred (p x)] {N : ℕ}
(hN : ∀ k ≤ N, MeasurableSet { x | Nat.findGreatest (p x) N = k }) :
Measurable fun x => Nat.findGreatest (p x) N :=
measurable_to_nat fun _ => hN _ N.findGreatest_le
#align measurable_find_greatest' measurable_findGreatest'
theorem measurable_findGreatest {p : α → ℕ → Prop} [∀ x, DecidablePred (p x)] {N}
(hN : ∀ k ≤ N, MeasurableSet { x | p x k }) : Measurable fun x => Nat.findGreatest (p x) N := by
refine measurable_findGreatest' fun k hk => ?_
simp only [Nat.findGreatest_eq_iff, setOf_and, setOf_forall, ← compl_setOf]
repeat' apply_rules [MeasurableSet.inter, MeasurableSet.const, MeasurableSet.iInter,
MeasurableSet.compl, hN] <;> try intros
#align measurable_find_greatest measurable_findGreatest
theorem measurable_find {p : α → ℕ → Prop} [∀ x, DecidablePred (p x)] (hp : ∀ x, ∃ N, p x N)
(hm : ∀ k, MeasurableSet { x | p x k }) : Measurable fun x => Nat.find (hp x) := by
refine measurable_to_nat fun x => ?_
rw [preimage_find_eq_disjointed (fun k => {x | p x k})]
exact MeasurableSet.disjointed hm _
#align measurable_find measurable_find
end Nat
section Quotient
variable [MeasurableSpace α] [MeasurableSpace β]
instance Quot.instMeasurableSpace {α} {r : α → α → Prop} [m : MeasurableSpace α] :
MeasurableSpace (Quot r) :=
m.map (Quot.mk r)
#align quot.measurable_space Quot.instMeasurableSpace
instance Quotient.instMeasurableSpace {α} {s : Setoid α} [m : MeasurableSpace α] :
MeasurableSpace (Quotient s) :=
m.map Quotient.mk''
#align quotient.measurable_space Quotient.instMeasurableSpace
@[to_additive]
instance QuotientGroup.measurableSpace {G} [Group G] [MeasurableSpace G] (S : Subgroup G) :
MeasurableSpace (G ⧸ S) :=
Quotient.instMeasurableSpace
#align quotient_group.measurable_space QuotientGroup.measurableSpace
#align quotient_add_group.measurable_space QuotientAddGroup.measurableSpace
theorem measurableSet_quotient {s : Setoid α} {t : Set (Quotient s)} :
MeasurableSet t ↔ MeasurableSet (Quotient.mk'' ⁻¹' t) :=
Iff.rfl
#align measurable_set_quotient measurableSet_quotient
theorem measurable_from_quotient {s : Setoid α} {f : Quotient s → β} :
Measurable f ↔ Measurable (f ∘ Quotient.mk'') :=
Iff.rfl
#align measurable_from_quotient measurable_from_quotient
@[measurability]
theorem measurable_quotient_mk' [s : Setoid α] : Measurable (Quotient.mk' : α → Quotient s) :=
fun _ => id
#align measurable_quotient_mk measurable_quotient_mk'
@[measurability]
theorem measurable_quotient_mk'' {s : Setoid α} : Measurable (Quotient.mk'' : α → Quotient s) :=
fun _ => id
#align measurable_quotient_mk' measurable_quotient_mk''
@[measurability]
theorem measurable_quot_mk {r : α → α → Prop} : Measurable (Quot.mk r) := fun _ => id
#align measurable_quot_mk measurable_quot_mk
@[to_additive (attr := measurability)]
theorem QuotientGroup.measurable_coe {G} [Group G] [MeasurableSpace G] {S : Subgroup G} :
Measurable ((↑) : G → G ⧸ S) :=
measurable_quotient_mk''
#align quotient_group.measurable_coe QuotientGroup.measurable_coe
#align quotient_add_group.measurable_coe QuotientAddGroup.measurable_coe
@[to_additive]
nonrec theorem QuotientGroup.measurable_from_quotient {G} [Group G] [MeasurableSpace G]
{S : Subgroup G} {f : G ⧸ S → α} : Measurable f ↔ Measurable (f ∘ ((↑) : G → G ⧸ S)) :=
measurable_from_quotient
#align quotient_group.measurable_from_quotient QuotientGroup.measurable_from_quotient
#align quotient_add_group.measurable_from_quotient QuotientAddGroup.measurable_from_quotient
end Quotient
section Subtype
instance Subtype.instMeasurableSpace {α} {p : α → Prop} [m : MeasurableSpace α] :
MeasurableSpace (Subtype p) :=
m.comap ((↑) : _ → α)
#align subtype.measurable_space Subtype.instMeasurableSpace
section
variable [MeasurableSpace α]
@[measurability]
theorem measurable_subtype_coe {p : α → Prop} : Measurable ((↑) : Subtype p → α) :=
MeasurableSpace.le_map_comap
#align measurable_subtype_coe measurable_subtype_coe
instance Subtype.instMeasurableSingletonClass {p : α → Prop} [MeasurableSingletonClass α] :
MeasurableSingletonClass (Subtype p) where
measurableSet_singleton x :=
⟨{(x : α)}, measurableSet_singleton (x : α), by
rw [← image_singleton, preimage_image_eq _ Subtype.val_injective]⟩
#align subtype.measurable_singleton_class Subtype.instMeasurableSingletonClass
end
variable {m : MeasurableSpace α} {mβ : MeasurableSpace β}
theorem MeasurableSet.of_subtype_image {s : Set α} {t : Set s}
(h : MeasurableSet (Subtype.val '' t)) : MeasurableSet t :=
⟨_, h, preimage_image_eq _ Subtype.val_injective⟩
theorem MeasurableSet.subtype_image {s : Set α} {t : Set s} (hs : MeasurableSet s) :
MeasurableSet t → MeasurableSet (((↑) : s → α) '' t) := by
rintro ⟨u, hu, rfl⟩
rw [Subtype.image_preimage_coe]
exact hs.inter hu
#align measurable_set.subtype_image MeasurableSet.subtype_image
@[measurability]
theorem Measurable.subtype_coe {p : β → Prop} {f : α → Subtype p} (hf : Measurable f) :
Measurable fun a : α => (f a : β) :=
measurable_subtype_coe.comp hf
#align measurable.subtype_coe Measurable.subtype_coe
alias Measurable.subtype_val := Measurable.subtype_coe
@[measurability]
theorem Measurable.subtype_mk {p : β → Prop} {f : α → β} (hf : Measurable f) {h : ∀ x, p (f x)} :
Measurable fun x => (⟨f x, h x⟩ : Subtype p) := fun t ⟨s, hs⟩ =>
hs.2 ▸ by simp only [← preimage_comp, (· ∘ ·), Subtype.coe_mk, hf hs.1]
#align measurable.subtype_mk Measurable.subtype_mk
@[measurability]
protected theorem Measurable.rangeFactorization {f : α → β} (hf : Measurable f) :
Measurable (rangeFactorization f) :=
hf.subtype_mk
theorem Measurable.subtype_map {f : α → β} {p : α → Prop} {q : β → Prop} (hf : Measurable f)
(hpq : ∀ x, p x → q (f x)) : Measurable (Subtype.map f hpq) :=
(hf.comp measurable_subtype_coe).subtype_mk
theorem measurable_inclusion {s t : Set α} (h : s ⊆ t) : Measurable (inclusion h) :=
measurable_id.subtype_map h
theorem MeasurableSet.image_inclusion' {s t : Set α} (h : s ⊆ t) {u : Set s}
(hs : MeasurableSet (Subtype.val ⁻¹' s : Set t)) (hu : MeasurableSet u) :
MeasurableSet (inclusion h '' u) := by
rcases hu with ⟨u, hu, rfl⟩
convert (measurable_subtype_coe hu).inter hs
ext ⟨x, hx⟩
simpa [@and_comm _ (_ = x)] using and_comm
theorem MeasurableSet.image_inclusion {s t : Set α} (h : s ⊆ t) {u : Set s}
(hs : MeasurableSet s) (hu : MeasurableSet u) :
MeasurableSet (inclusion h '' u) :=
(measurable_subtype_coe hs).image_inclusion' h hu
theorem MeasurableSet.of_union_cover {s t u : Set α} (hs : MeasurableSet s) (ht : MeasurableSet t)
(h : univ ⊆ s ∪ t) (hsu : MeasurableSet (((↑) : s → α) ⁻¹' u))
(htu : MeasurableSet (((↑) : t → α) ⁻¹' u)) : MeasurableSet u := by
convert (hs.subtype_image hsu).union (ht.subtype_image htu)
simp [image_preimage_eq_inter_range, ← inter_union_distrib_left, univ_subset_iff.1 h]
theorem measurable_of_measurable_union_cover {f : α → β} (s t : Set α) (hs : MeasurableSet s)
(ht : MeasurableSet t) (h : univ ⊆ s ∪ t) (hc : Measurable fun a : s => f a)
(hd : Measurable fun a : t => f a) : Measurable f := fun _u hu =>
.of_union_cover hs ht h (hc hu) (hd hu)
#align measurable_of_measurable_union_cover measurable_of_measurable_union_cover
theorem measurable_of_restrict_of_restrict_compl {f : α → β} {s : Set α} (hs : MeasurableSet s)
(h₁ : Measurable (s.restrict f)) (h₂ : Measurable (sᶜ.restrict f)) : Measurable f :=
measurable_of_measurable_union_cover s sᶜ hs hs.compl (union_compl_self s).ge h₁ h₂
#align measurable_of_restrict_of_restrict_compl measurable_of_restrict_of_restrict_compl
theorem Measurable.dite [∀ x, Decidable (x ∈ s)] {f : s → β} (hf : Measurable f)
{g : (sᶜ : Set α) → β} (hg : Measurable g) (hs : MeasurableSet s) :
Measurable fun x => if hx : x ∈ s then f ⟨x, hx⟩ else g ⟨x, hx⟩ :=
measurable_of_restrict_of_restrict_compl hs (by simpa) (by simpa)
#align measurable.dite Measurable.dite
theorem measurable_of_measurable_on_compl_finite [MeasurableSingletonClass α] {f : α → β}
(s : Set α) (hs : s.Finite) (hf : Measurable (sᶜ.restrict f)) : Measurable f :=
have := hs.to_subtype
measurable_of_restrict_of_restrict_compl hs.measurableSet (measurable_of_finite _) hf
#align measurable_of_measurable_on_compl_finite measurable_of_measurable_on_compl_finite
theorem measurable_of_measurable_on_compl_singleton [MeasurableSingletonClass α] {f : α → β} (a : α)
(hf : Measurable ({ x | x ≠ a }.restrict f)) : Measurable f :=
measurable_of_measurable_on_compl_finite {a} (finite_singleton a) hf
#align measurable_of_measurable_on_compl_singleton measurable_of_measurable_on_compl_singleton
end Subtype
section Atoms
variable [MeasurableSpace β]
/-- The *measurable atom* of `x` is the intersection of all the measurable sets countaining `x`.
It is measurable when the space is countable (or more generally when the measurable space is
countably generated). -/
def measurableAtom (x : β) : Set β :=
⋂ (s : Set β) (_h's : x ∈ s) (_hs : MeasurableSet s), s
@[simp] lemma mem_measurableAtom_self (x : β) : x ∈ measurableAtom x := by
simp (config := {contextual := true}) [measurableAtom]
lemma mem_of_mem_measurableAtom {x y : β} (h : y ∈ measurableAtom x) {s : Set β}
(hs : MeasurableSet s) (hxs : x ∈ s) : y ∈ s := by
simp only [measurableAtom, mem_iInter] at h
exact h s hxs hs
lemma measurableAtom_subset {s : Set β} {x : β} (hs : MeasurableSet s) (hx : x ∈ s) :
measurableAtom x ⊆ s :=
iInter₂_subset_of_subset s hx fun ⦃a⦄ ↦ (by simp [hs])
@[simp] lemma measurableAtom_of_measurableSingletonClass [MeasurableSingletonClass β] (x : β) :
measurableAtom x = {x} :=
Subset.antisymm (measurableAtom_subset (measurableSet_singleton x) rfl) (by simp)
lemma MeasurableSet.measurableAtom_of_countable [Countable β] (x : β) :
MeasurableSet (measurableAtom x) := by
have : ∀ (y : β), y ∉ measurableAtom x → ∃ s, x ∈ s ∧ MeasurableSet s ∧ y ∉ s :=
fun y hy ↦ by simpa [measurableAtom] using hy
choose! s hs using this
have : measurableAtom x = ⋂ (y ∈ (measurableAtom x)ᶜ), s y := by
apply Subset.antisymm
· intro z hz
simp only [mem_iInter, mem_compl_iff]
intro i hi
show z ∈ s i
exact mem_of_mem_measurableAtom hz (hs i hi).2.1 (hs i hi).1
· apply compl_subset_compl.1
intro z hz
simp only [compl_iInter, mem_iUnion, mem_compl_iff, exists_prop]
exact ⟨z, hz, (hs z hz).2.2⟩
rw [this]
exact MeasurableSet.biInter (to_countable (measurableAtom x)ᶜ) (fun i hi ↦ (hs i hi).2.1)
end Atoms
section Prod
/-- A `MeasurableSpace` structure on the product of two measurable spaces. -/
def MeasurableSpace.prod {α β} (m₁ : MeasurableSpace α) (m₂ : MeasurableSpace β) :
MeasurableSpace (α × β) :=
m₁.comap Prod.fst ⊔ m₂.comap Prod.snd
#align measurable_space.prod MeasurableSpace.prod
instance Prod.instMeasurableSpace {α β} [m₁ : MeasurableSpace α] [m₂ : MeasurableSpace β] :
MeasurableSpace (α × β) :=
m₁.prod m₂
#align prod.measurable_space Prod.instMeasurableSpace
@[measurability]
theorem measurable_fst {_ : MeasurableSpace α} {_ : MeasurableSpace β} :
Measurable (Prod.fst : α × β → α) :=
Measurable.of_comap_le le_sup_left
#align measurable_fst measurable_fst
@[measurability]
theorem measurable_snd {_ : MeasurableSpace α} {_ : MeasurableSpace β} :
Measurable (Prod.snd : α × β → β) :=
Measurable.of_comap_le le_sup_right
#align measurable_snd measurable_snd
variable {m : MeasurableSpace α} {mβ : MeasurableSpace β} {mγ : MeasurableSpace γ}
theorem Measurable.fst {f : α → β × γ} (hf : Measurable f) : Measurable fun a : α => (f a).1 :=
measurable_fst.comp hf
#align measurable.fst Measurable.fst
theorem Measurable.snd {f : α → β × γ} (hf : Measurable f) : Measurable fun a : α => (f a).2 :=
measurable_snd.comp hf
#align measurable.snd Measurable.snd
@[measurability]
theorem Measurable.prod {f : α → β × γ} (hf₁ : Measurable fun a => (f a).1)
(hf₂ : Measurable fun a => (f a).2) : Measurable f :=
Measurable.of_le_map <|
sup_le
(by
rw [MeasurableSpace.comap_le_iff_le_map, MeasurableSpace.map_comp]
exact hf₁)
(by
rw [MeasurableSpace.comap_le_iff_le_map, MeasurableSpace.map_comp]
exact hf₂)
#align measurable.prod Measurable.prod
theorem Measurable.prod_mk {β γ} {_ : MeasurableSpace β} {_ : MeasurableSpace γ} {f : α → β}
{g : α → γ} (hf : Measurable f) (hg : Measurable g) : Measurable fun a : α => (f a, g a) :=
Measurable.prod hf hg
#align measurable.prod_mk Measurable.prod_mk
theorem Measurable.prod_map [MeasurableSpace δ] {f : α → β} {g : γ → δ} (hf : Measurable f)
(hg : Measurable g) : Measurable (Prod.map f g) :=
(hf.comp measurable_fst).prod_mk (hg.comp measurable_snd)
#align measurable.prod_map Measurable.prod_map
theorem measurable_prod_mk_left {x : α} : Measurable (@Prod.mk _ β x) :=
measurable_const.prod_mk measurable_id
#align measurable_prod_mk_left measurable_prod_mk_left
theorem measurable_prod_mk_right {y : β} : Measurable fun x : α => (x, y) :=
measurable_id.prod_mk measurable_const
#align measurable_prod_mk_right measurable_prod_mk_right
theorem Measurable.of_uncurry_left {f : α → β → γ} (hf : Measurable (uncurry f)) {x : α} :
Measurable (f x) :=
hf.comp measurable_prod_mk_left
#align measurable.of_uncurry_left Measurable.of_uncurry_left
theorem Measurable.of_uncurry_right {f : α → β → γ} (hf : Measurable (uncurry f)) {y : β} :
Measurable fun x => f x y :=
hf.comp measurable_prod_mk_right
#align measurable.of_uncurry_right Measurable.of_uncurry_right
theorem measurable_prod {f : α → β × γ} :
Measurable f ↔ (Measurable fun a => (f a).1) ∧ Measurable fun a => (f a).2 :=
⟨fun hf => ⟨measurable_fst.comp hf, measurable_snd.comp hf⟩, fun h => Measurable.prod h.1 h.2⟩
#align measurable_prod measurable_prod
@[measurability]
theorem measurable_swap : Measurable (Prod.swap : α × β → β × α) :=
Measurable.prod measurable_snd measurable_fst
#align measurable_swap measurable_swap
theorem measurable_swap_iff {_ : MeasurableSpace γ} {f : α × β → γ} :
Measurable (f ∘ Prod.swap) ↔ Measurable f :=
⟨fun hf => hf.comp measurable_swap, fun hf => hf.comp measurable_swap⟩
#align measurable_swap_iff measurable_swap_iff
@[measurability]
protected theorem MeasurableSet.prod {s : Set α} {t : Set β} (hs : MeasurableSet s)
(ht : MeasurableSet t) : MeasurableSet (s ×ˢ t) :=
MeasurableSet.inter (measurable_fst hs) (measurable_snd ht)
#align measurable_set.prod MeasurableSet.prod
theorem measurableSet_prod_of_nonempty {s : Set α} {t : Set β} (h : (s ×ˢ t).Nonempty) :
MeasurableSet (s ×ˢ t) ↔ MeasurableSet s ∧ MeasurableSet t := by
rcases h with ⟨⟨x, y⟩, hx, hy⟩
refine ⟨fun hst => ?_, fun h => h.1.prod h.2⟩
have : MeasurableSet ((fun x => (x, y)) ⁻¹' s ×ˢ t) := measurable_prod_mk_right hst
have : MeasurableSet (Prod.mk x ⁻¹' s ×ˢ t) := measurable_prod_mk_left hst
simp_all
#align measurable_set_prod_of_nonempty measurableSet_prod_of_nonempty
theorem measurableSet_prod {s : Set α} {t : Set β} :
MeasurableSet (s ×ˢ t) ↔ MeasurableSet s ∧ MeasurableSet t ∨ s = ∅ ∨ t = ∅ := by
rcases (s ×ˢ t).eq_empty_or_nonempty with h | h
· simp [h, prod_eq_empty_iff.mp h]
· simp [← not_nonempty_iff_eq_empty, prod_nonempty_iff.mp h, measurableSet_prod_of_nonempty h]
#align measurable_set_prod measurableSet_prod
theorem measurableSet_swap_iff {s : Set (α × β)} :
MeasurableSet (Prod.swap ⁻¹' s) ↔ MeasurableSet s :=
⟨fun hs => measurable_swap hs, fun hs => measurable_swap hs⟩
#align measurable_set_swap_iff measurableSet_swap_iff
instance Prod.instMeasurableSingletonClass
[MeasurableSingletonClass α] [MeasurableSingletonClass β] :
MeasurableSingletonClass (α × β) :=
⟨fun ⟨a, b⟩ => @singleton_prod_singleton _ _ a b ▸ .prod (.singleton a) (.singleton b)⟩
#align prod.measurable_singleton_class Prod.instMeasurableSingletonClass
theorem measurable_from_prod_countable' [Countable β]
{_ : MeasurableSpace γ} {f : α × β → γ} (hf : ∀ y, Measurable fun x => f (x, y))
(h'f : ∀ y y' x, y' ∈ measurableAtom y → f (x, y') = f (x, y)) :
Measurable f := fun s hs => by
have : f ⁻¹' s = ⋃ y, ((fun x => f (x, y)) ⁻¹' s) ×ˢ (measurableAtom y : Set β) := by
ext1 ⟨x, y⟩
simp only [mem_preimage, mem_iUnion, mem_prod]
refine ⟨fun h ↦ ⟨y, h, mem_measurableAtom_self y⟩, ?_⟩
rintro ⟨y', hy's, hy'⟩
rwa [h'f y' y x hy']
rw [this]
exact .iUnion (fun y ↦ (hf y hs).prod (.measurableAtom_of_countable y))
theorem measurable_from_prod_countable [Countable β] [MeasurableSingletonClass β]
{_ : MeasurableSpace γ} {f : α × β → γ} (hf : ∀ y, Measurable fun x => f (x, y)) :
Measurable f :=
measurable_from_prod_countable' hf (by simp (config := {contextual := true}))
#align measurable_from_prod_countable measurable_from_prod_countable
/-- A piecewise function on countably many pieces is measurable if all the data is measurable. -/
@[measurability]
theorem Measurable.find {_ : MeasurableSpace α} {f : ℕ → α → β} {p : ℕ → α → Prop}
[∀ n, DecidablePred (p n)] (hf : ∀ n, Measurable (f n)) (hp : ∀ n, MeasurableSet { x | p n x })
(h : ∀ x, ∃ n, p n x) : Measurable fun x => f (Nat.find (h x)) x :=
have : Measurable fun p : α × ℕ => f p.2 p.1 := measurable_from_prod_countable fun n => hf n
this.comp (Measurable.prod_mk measurable_id (measurable_find h hp))
#align measurable.find Measurable.find
/-- Let `t i` be a countable covering of a set `T` by measurable sets. Let `f i : t i → β` be a
family of functions that agree on the intersections `t i ∩ t j`. Then the function
`Set.iUnionLift t f _ _ : T → β`, defined as `f i ⟨x, hx⟩` for `hx : x ∈ t i`, is measurable. -/
theorem measurable_iUnionLift [Countable ι] {t : ι → Set α} {f : ∀ i, t i → β}
(htf : ∀ (i j) (x : α) (hxi : x ∈ t i) (hxj : x ∈ t j), f i ⟨x, hxi⟩ = f j ⟨x, hxj⟩)
{T : Set α} (hT : T ⊆ ⋃ i, t i) (htm : ∀ i, MeasurableSet (t i)) (hfm : ∀ i, Measurable (f i)) :
Measurable (iUnionLift t f htf T hT) := fun s hs => by
rw [preimage_iUnionLift]
exact .preimage (.iUnion fun i => .image_inclusion _ (htm _) (hfm i hs)) (measurable_inclusion _)
/-- Let `t i` be a countable covering of `α` by measurable sets. Let `f i : t i → β` be a family of
functions that agree on the intersections `t i ∩ t j`. Then the function `Set.liftCover t f _ _`,
defined as `f i ⟨x, hx⟩` for `hx : x ∈ t i`, is measurable. -/
theorem measurable_liftCover [Countable ι] (t : ι → Set α) (htm : ∀ i, MeasurableSet (t i))
(f : ∀ i, t i → β) (hfm : ∀ i, Measurable (f i))
(hf : ∀ (i j) (x : α) (hxi : x ∈ t i) (hxj : x ∈ t j), f i ⟨x, hxi⟩ = f j ⟨x, hxj⟩)
(htU : ⋃ i, t i = univ) :
Measurable (liftCover t f hf htU) := fun s hs => by
rw [preimage_liftCover]
exact .iUnion fun i => .subtype_image (htm i) <| hfm i hs
/-- Let `t i` be a nonempty countable family of measurable sets in `α`. Let `g i : α → β` be a
family of measurable functions such that `g i` agrees with `g j` on `t i ∩ t j`. Then there exists
a measurable function `f : α → β` that agrees with each `g i` on `t i`.
We only need the assumption `[Nonempty ι]` to prove `[Nonempty (α → β)]`. -/
theorem exists_measurable_piecewise {ι} [Countable ι] [Nonempty ι] (t : ι → Set α)
(t_meas : ∀ n, MeasurableSet (t n)) (g : ι → α → β) (hg : ∀ n, Measurable (g n))
(ht : Pairwise fun i j => EqOn (g i) (g j) (t i ∩ t j)) :
∃ f : α → β, Measurable f ∧ ∀ n, EqOn f (g n) (t n) := by
inhabit ι
set g' : (i : ι) → t i → β := fun i => g i ∘ (↑)
-- see #2184
have ht' : ∀ (i j) (x : α) (hxi : x ∈ t i) (hxj : x ∈ t j), g' i ⟨x, hxi⟩ = g' j ⟨x, hxj⟩ := by
intro i j x hxi hxj
rcases eq_or_ne i j with rfl | hij
· rfl
· exact ht hij ⟨hxi, hxj⟩
set f : (⋃ i, t i) → β := iUnionLift t g' ht' _ Subset.rfl
have hfm : Measurable f := measurable_iUnionLift _ _ t_meas
(fun i => (hg i).comp measurable_subtype_coe)
classical
refine ⟨fun x => if hx : x ∈ ⋃ i, t i then f ⟨x, hx⟩ else g default x,
hfm.dite ((hg default).comp measurable_subtype_coe) (.iUnion t_meas), fun i x hx => ?_⟩
simp only [dif_pos (mem_iUnion.2 ⟨i, hx⟩)]
exact iUnionLift_of_mem ⟨x, mem_iUnion.2 ⟨i, hx⟩⟩ hx
/-- Given countably many disjoint measurable sets `t n` and countably many measurable
functions `g n`, one can construct a measurable function that coincides with `g n` on `t n`. -/
@[deprecated exists_measurable_piecewise (since := "2023-02-11")]
theorem exists_measurable_piecewise_nat {m : MeasurableSpace α} (t : ℕ → Set β)
(t_meas : ∀ n, MeasurableSet (t n)) (t_disj : Pairwise (Disjoint on t)) (g : ℕ → β → α)
(hg : ∀ n, Measurable (g n)) : ∃ f : β → α, Measurable f ∧ ∀ n x, x ∈ t n → f x = g n x :=
exists_measurable_piecewise t t_meas g hg <| t_disj.mono fun i j h => by
simp only [h.inter_eq, eqOn_empty]
#align exists_measurable_piecewise_nat exists_measurable_piecewise_nat
end Prod
section Pi
variable {π : δ → Type*} [MeasurableSpace α]
instance MeasurableSpace.pi [m : ∀ a, MeasurableSpace (π a)] : MeasurableSpace (∀ a, π a) :=
⨆ a, (m a).comap fun b => b a
#align measurable_space.pi MeasurableSpace.pi
variable [∀ a, MeasurableSpace (π a)] [MeasurableSpace γ]
theorem measurable_pi_iff {g : α → ∀ a, π a} : Measurable g ↔ ∀ a, Measurable fun x => g x a := by
simp_rw [measurable_iff_comap_le, MeasurableSpace.pi, MeasurableSpace.comap_iSup,
MeasurableSpace.comap_comp, Function.comp, iSup_le_iff]
#align measurable_pi_iff measurable_pi_iff
@[aesop safe 100 apply (rule_sets := [Measurable])]
theorem measurable_pi_apply (a : δ) : Measurable fun f : ∀ a, π a => f a :=
measurable_pi_iff.1 measurable_id a
#align measurable_pi_apply measurable_pi_apply
@[aesop safe 100 apply (rule_sets := [Measurable])]
theorem Measurable.eval {a : δ} {g : α → ∀ a, π a} (hg : Measurable g) :
Measurable fun x => g x a :=
(measurable_pi_apply a).comp hg
#align measurable.eval Measurable.eval
@[aesop safe 100 apply (rule_sets := [Measurable])]
theorem measurable_pi_lambda (f : α → ∀ a, π a) (hf : ∀ a, Measurable fun c => f c a) :
Measurable f :=
measurable_pi_iff.mpr hf
#align measurable_pi_lambda measurable_pi_lambda
/-- The function `(f, x) ↦ update f a x : (Π a, π a) × π a → Π a, π a` is measurable. -/
theorem measurable_update' {a : δ} [DecidableEq δ] :
Measurable (fun p : (∀ i, π i) × π a ↦ update p.1 a p.2) := by
rw [measurable_pi_iff]
intro j
dsimp [update]
split_ifs with h
· subst h
dsimp
exact measurable_snd
· exact measurable_pi_iff.1 measurable_fst _
theorem measurable_uniqueElim [Unique δ] [∀ i, MeasurableSpace (π i)] :
Measurable (uniqueElim : π (default : δ) → ∀ i, π i) := by
simp_rw [measurable_pi_iff, Unique.forall_iff, uniqueElim_default]; exact measurable_id
theorem measurable_updateFinset [DecidableEq δ] {s : Finset δ} {x : ∀ i, π i} :
Measurable (updateFinset x s) := by
simp (config := { unfoldPartialApp := true }) only [updateFinset, measurable_pi_iff]
intro i
by_cases h : i ∈ s <;> simp [h, measurable_pi_apply]
/-- The function `update f a : π a → Π a, π a` is always measurable.
This doesn't require `f` to be measurable.
This should not be confused with the statement that `update f a x` is measurable. -/
@[measurability]
theorem measurable_update (f : ∀ a : δ, π a) {a : δ} [DecidableEq δ] : Measurable (update f a) :=
measurable_update'.comp measurable_prod_mk_left
#align measurable_update measurable_update
theorem measurable_update_left {a : δ} [DecidableEq δ] {x : π a} :
Measurable (update · a x) :=
measurable_update'.comp measurable_prod_mk_right
variable (π) in
theorem measurable_eq_mp {i i' : δ} (h : i = i') : Measurable (congr_arg π h).mp := by
cases h
exact measurable_id
variable (π) in
theorem Measurable.eq_mp {β} [MeasurableSpace β] {i i' : δ} (h : i = i') {f : β → π i}
(hf : Measurable f) : Measurable fun x => (congr_arg π h).mp (f x) :=
(measurable_eq_mp π h).comp hf
theorem measurable_piCongrLeft (f : δ' ≃ δ) : Measurable (piCongrLeft π f) := by
rw [measurable_pi_iff]
intro i
simp_rw [piCongrLeft_apply_eq_cast]
exact Measurable.eq_mp π (f.apply_symm_apply i) <| measurable_pi_apply <| f.symm i
/- Even though we cannot use projection notation, we still keep a dot to be consistent with similar
lemmas, like `MeasurableSet.prod`. -/
@[measurability]
protected theorem MeasurableSet.pi {s : Set δ} {t : ∀ i : δ, Set (π i)} (hs : s.Countable)
(ht : ∀ i ∈ s, MeasurableSet (t i)) : MeasurableSet (s.pi t) := by
rw [pi_def]
exact MeasurableSet.biInter hs fun i hi => measurable_pi_apply _ (ht i hi)
#align measurable_set.pi MeasurableSet.pi
protected theorem MeasurableSet.univ_pi [Countable δ] {t : ∀ i : δ, Set (π i)}
(ht : ∀ i, MeasurableSet (t i)) : MeasurableSet (pi univ t) :=
MeasurableSet.pi (to_countable _) fun i _ => ht i
#align measurable_set.univ_pi MeasurableSet.univ_pi
theorem measurableSet_pi_of_nonempty {s : Set δ} {t : ∀ i, Set (π i)} (hs : s.Countable)
(h : (pi s t).Nonempty) : MeasurableSet (pi s t) ↔ ∀ i ∈ s, MeasurableSet (t i) := by
classical
rcases h with ⟨f, hf⟩
refine ⟨fun hst i hi => ?_, MeasurableSet.pi hs⟩
convert measurable_update f (a := i) hst
rw [update_preimage_pi hi]
exact fun j hj _ => hf j hj
#align measurable_set_pi_of_nonempty measurableSet_pi_of_nonempty
theorem measurableSet_pi {s : Set δ} {t : ∀ i, Set (π i)} (hs : s.Countable) :
MeasurableSet (pi s t) ↔ (∀ i ∈ s, MeasurableSet (t i)) ∨ pi s t = ∅ := by
rcases (pi s t).eq_empty_or_nonempty with h | h
· simp [h]
· simp [measurableSet_pi_of_nonempty hs, h, ← not_nonempty_iff_eq_empty]
#align measurable_set_pi measurableSet_pi
instance Pi.instMeasurableSingletonClass [Countable δ] [∀ a, MeasurableSingletonClass (π a)] :
MeasurableSingletonClass (∀ a, π a) :=
⟨fun f => univ_pi_singleton f ▸ MeasurableSet.univ_pi fun t => measurableSet_singleton (f t)⟩
#align pi.measurable_singleton_class Pi.instMeasurableSingletonClass
variable (π)
@[measurability]
theorem measurable_piEquivPiSubtypeProd_symm (p : δ → Prop) [DecidablePred p] :
Measurable (Equiv.piEquivPiSubtypeProd p π).symm := by
refine measurable_pi_iff.2 fun j => ?_
by_cases hj : p j
· simp only [hj, dif_pos, Equiv.piEquivPiSubtypeProd_symm_apply]
have : Measurable fun (f : ∀ i : { x // p x }, π i.1) => f ⟨j, hj⟩ :=
measurable_pi_apply (π := fun i : {x // p x} => π i.1) ⟨j, hj⟩
exact Measurable.comp this measurable_fst
· simp only [hj, Equiv.piEquivPiSubtypeProd_symm_apply, dif_neg, not_false_iff]
have : Measurable fun (f : ∀ i : { x // ¬p x }, π i.1) => f ⟨j, hj⟩ :=
measurable_pi_apply (π := fun i : {x // ¬p x} => π i.1) ⟨j, hj⟩
exact Measurable.comp this measurable_snd
#align measurable_pi_equiv_pi_subtype_prod_symm measurable_piEquivPiSubtypeProd_symm
@[measurability]
theorem measurable_piEquivPiSubtypeProd (p : δ → Prop) [DecidablePred p] :
Measurable (Equiv.piEquivPiSubtypeProd p π) :=
(measurable_pi_iff.2 fun _ => measurable_pi_apply _).prod_mk
(measurable_pi_iff.2 fun _ => measurable_pi_apply _)
#align measurable_pi_equiv_pi_subtype_prod measurable_piEquivPiSubtypeProd
end Pi
instance TProd.instMeasurableSpace (π : δ → Type*) [∀ x, MeasurableSpace (π x)] :
∀ l : List δ, MeasurableSpace (List.TProd π l)
| [] => PUnit.instMeasurableSpace
| _::is => @Prod.instMeasurableSpace _ _ _ (TProd.instMeasurableSpace π is)
#align tprod.measurable_space TProd.instMeasurableSpace
section TProd
open List
variable {π : δ → Type*} [∀ x, MeasurableSpace (π x)]
theorem measurable_tProd_mk (l : List δ) : Measurable (@TProd.mk δ π l) := by
induction' l with i l ih
· exact measurable_const
· exact (measurable_pi_apply i).prod_mk ih
#align measurable_tprod_mk measurable_tProd_mk
theorem measurable_tProd_elim [DecidableEq δ] :
∀ {l : List δ} {i : δ} (hi : i ∈ l), Measurable fun v : TProd π l => v.elim hi
| i::is, j, hj => by
by_cases hji : j = i
· subst hji
simpa using measurable_fst
· simp only [TProd.elim_of_ne _ hji]
rw [mem_cons] at hj
exact (measurable_tProd_elim (hj.resolve_left hji)).comp measurable_snd
#align measurable_tprod_elim measurable_tProd_elim
theorem measurable_tProd_elim' [DecidableEq δ] {l : List δ} (h : ∀ i, i ∈ l) :
Measurable (TProd.elim' h : TProd π l → ∀ i, π i) :=
measurable_pi_lambda _ fun i => measurable_tProd_elim (h i)
#align measurable_tprod_elim' measurable_tProd_elim'
theorem MeasurableSet.tProd (l : List δ) {s : ∀ i, Set (π i)} (hs : ∀ i, MeasurableSet (s i)) :
MeasurableSet (Set.tprod l s) := by
induction' l with i l ih
· exact MeasurableSet.univ
· exact (hs i).prod ih
#align measurable_set.tprod MeasurableSet.tProd
end TProd
instance Sum.instMeasurableSpace {α β} [m₁ : MeasurableSpace α] [m₂ : MeasurableSpace β] :
MeasurableSpace (α ⊕ β) :=
m₁.map Sum.inl ⊓ m₂.map Sum.inr
#align sum.measurable_space Sum.instMeasurableSpace
section Sum
@[measurability]
theorem measurable_inl [MeasurableSpace α] [MeasurableSpace β] : Measurable (@Sum.inl α β) :=
Measurable.of_le_map inf_le_left
#align measurable_inl measurable_inl
@[measurability]
theorem measurable_inr [MeasurableSpace α] [MeasurableSpace β] : Measurable (@Sum.inr α β) :=
Measurable.of_le_map inf_le_right
#align measurable_inr measurable_inr
variable {m : MeasurableSpace α} {mβ : MeasurableSpace β}
-- Porting note (#10756): new theorem
theorem measurableSet_sum_iff {s : Set (α ⊕ β)} :
MeasurableSet s ↔ MeasurableSet (Sum.inl ⁻¹' s) ∧ MeasurableSet (Sum.inr ⁻¹' s) :=
Iff.rfl
theorem measurable_sum {_ : MeasurableSpace γ} {f : α ⊕ β → γ} (hl : Measurable (f ∘ Sum.inl))
(hr : Measurable (f ∘ Sum.inr)) : Measurable f :=
Measurable.of_comap_le <|
le_inf (MeasurableSpace.comap_le_iff_le_map.2 <| hl)
(MeasurableSpace.comap_le_iff_le_map.2 <| hr)
#align measurable_sum measurable_sum
@[measurability]
theorem Measurable.sumElim {_ : MeasurableSpace γ} {f : α → γ} {g : β → γ} (hf : Measurable f)
(hg : Measurable g) : Measurable (Sum.elim f g) :=
measurable_sum hf hg
#align measurable.sum_elim Measurable.sumElim
theorem Measurable.sumMap {_ : MeasurableSpace γ} {_ : MeasurableSpace δ} {f : α → β} {g : γ → δ}
(hf : Measurable f) (hg : Measurable g) : Measurable (Sum.map f g) :=
(measurable_inl.comp hf).sumElim (measurable_inr.comp hg)
-- Porting note (#10756): new theorem
@[simp] theorem measurableSet_inl_image {s : Set α} :
MeasurableSet (Sum.inl '' s : Set (α ⊕ β)) ↔ MeasurableSet s := by
simp [measurableSet_sum_iff, Sum.inl_injective.preimage_image]
alias ⟨_, MeasurableSet.inl_image⟩ := measurableSet_inl_image
#align measurable_set.inl_image MeasurableSet.inl_image
-- Porting note (#10756): new theorem
@[simp] theorem measurableSet_inr_image {s : Set β} :
MeasurableSet (Sum.inr '' s : Set (α ⊕ β)) ↔ MeasurableSet s := by
simp [measurableSet_sum_iff, Sum.inr_injective.preimage_image]
alias ⟨_, MeasurableSet.inr_image⟩ := measurableSet_inr_image
#align measurable_set_inr_image measurableSet_inr_image
theorem measurableSet_range_inl [MeasurableSpace α] :
MeasurableSet (range Sum.inl : Set (α ⊕ β)) := by
rw [← image_univ]
exact MeasurableSet.univ.inl_image
#align measurable_set_range_inl measurableSet_range_inl
theorem measurableSet_range_inr [MeasurableSpace α] :
MeasurableSet (range Sum.inr : Set (α ⊕ β)) := by
rw [← image_univ]
exact MeasurableSet.univ.inr_image
#align measurable_set_range_inr measurableSet_range_inr
end Sum
instance Sigma.instMeasurableSpace {α} {β : α → Type*} [m : ∀ a, MeasurableSpace (β a)] :
MeasurableSpace (Sigma β) :=
⨅ a, (m a).map (Sigma.mk a)
#align sigma.measurable_space Sigma.instMeasurableSpace
section prop
variable [MeasurableSpace α] {p q : α → Prop}
@[simp] theorem measurableSet_setOf : MeasurableSet {a | p a} ↔ Measurable p :=
⟨fun h ↦ measurable_to_prop <| by simpa only [preimage_singleton_true], fun h => by
simpa using h (measurableSet_singleton True)⟩
#align measurable_set_set_of measurableSet_setOf
@[simp] theorem measurable_mem : Measurable (· ∈ s) ↔ MeasurableSet s := measurableSet_setOf.symm
#align measurable_mem measurable_mem
alias ⟨_, Measurable.setOf⟩ := measurableSet_setOf
#align measurable.set_of Measurable.setOf
alias ⟨_, MeasurableSet.mem⟩ := measurable_mem
#align measurable_set.mem MeasurableSet.mem
lemma Measurable.not (hp : Measurable p) : Measurable (¬ p ·) :=
measurableSet_setOf.1 hp.setOf.compl
lemma Measurable.and (hp : Measurable p) (hq : Measurable q) : Measurable fun a ↦ p a ∧ q a :=
measurableSet_setOf.1 <| hp.setOf.inter hq.setOf
lemma Measurable.or (hp : Measurable p) (hq : Measurable q) : Measurable fun a ↦ p a ∨ q a :=
measurableSet_setOf.1 <| hp.setOf.union hq.setOf
lemma Measurable.imp (hp : Measurable p) (hq : Measurable q) : Measurable fun a ↦ p a → q a :=
measurableSet_setOf.1 <| hp.setOf.himp hq.setOf
lemma Measurable.iff (hp : Measurable p) (hq : Measurable q) : Measurable fun a ↦ p a ↔ q a :=
measurableSet_setOf.1 <| by simp_rw [iff_iff_implies_and_implies]; exact hq.setOf.bihimp hp.setOf
lemma Measurable.forall [Countable ι] {p : ι → α → Prop} (hp : ∀ i, Measurable (p i)) :
Measurable fun a ↦ ∀ i, p i a :=
measurableSet_setOf.1 <| by rw [setOf_forall]; exact MeasurableSet.iInter fun i ↦ (hp i).setOf
lemma Measurable.exists [Countable ι] {p : ι → α → Prop} (hp : ∀ i, Measurable (p i)) :
Measurable fun a ↦ ∃ i, p i a :=
measurableSet_setOf.1 <| by rw [setOf_exists]; exact MeasurableSet.iUnion fun i ↦ (hp i).setOf
end prop
section Set
variable [MeasurableSpace β] {g : β → Set α}
/-- This instance is useful when talking about Bernoulli sequences of random variables or binomial
random graphs. -/
instance Set.instMeasurableSpace : MeasurableSpace (Set α) := by unfold Set; infer_instance
instance Set.instMeasurableSingletonClass [Countable α] : MeasurableSingletonClass (Set α) := by
unfold Set; infer_instance
lemma measurable_set_iff : Measurable g ↔ ∀ a, Measurable fun x ↦ a ∈ g x := measurable_pi_iff
@[aesop safe 100 apply (rule_sets := [Measurable])]
lemma measurable_set_mem (a : α) : Measurable fun s : Set α ↦ a ∈ s := measurable_pi_apply _
@[aesop safe 100 apply (rule_sets := [Measurable])]
lemma measurable_set_not_mem (a : α) : Measurable fun s : Set α ↦ a ∉ s :=
(measurable_discrete Not).comp <| measurable_set_mem a
@[aesop safe 100 apply (rule_sets := [Measurable])]
lemma measurableSet_mem (a : α) : MeasurableSet {s : Set α | a ∈ s} :=
measurableSet_setOf.2 <| measurable_set_mem _
@[aesop safe 100 apply (rule_sets := [Measurable])]
lemma measurableSet_not_mem (a : α) : MeasurableSet {s : Set α | a ∉ s} :=
measurableSet_setOf.2 <| measurable_set_not_mem _
lemma measurable_compl : Measurable ((·ᶜ) : Set α → Set α) :=
measurable_set_iff.2 fun _ ↦ measurable_set_not_mem _
end Set
end Constructions
namespace MeasurableSpace
/-- The sigma-algebra generated by a single set `s` is `{∅, s, sᶜ, univ}`. -/
@[simp] theorem generateFrom_singleton (s : Set α) :
generateFrom {s} = MeasurableSpace.comap (· ∈ s) ⊤ := by
classical
letI : MeasurableSpace α := generateFrom {s}
refine le_antisymm (generateFrom_le fun t ht => ⟨{True}, trivial, by simp [ht.symm]⟩) ?_
rintro _ ⟨u, -, rfl⟩
exact (show MeasurableSet s from GenerateMeasurable.basic _ <| mem_singleton s).mem trivial
#align measurable_space.generate_from_singleton MeasurableSpace.generateFrom_singleton
end MeasurableSpace
/-- A map `f : α → β` is called a *measurable embedding* if it is injective, measurable, and sends
measurable sets to measurable sets. The latter assumption can be replaced with “`f` has measurable
inverse `g : Set.range f → α`”, see `MeasurableEmbedding.measurable_rangeSplitting`,
`MeasurableEmbedding.of_measurable_inverse_range`, and
`MeasurableEmbedding.of_measurable_inverse`.
One more interpretation: `f` is a measurable embedding if it defines a measurable equivalence to its
range and the range is a measurable set. One implication is formalized as
`MeasurableEmbedding.equivRange`; the other one follows from
`MeasurableEquiv.measurableEmbedding`, `MeasurableEmbedding.subtype_coe`, and
`MeasurableEmbedding.comp`. -/
structure MeasurableEmbedding {α β : Type*} [MeasurableSpace α] [MeasurableSpace β]
(f : α → β) : Prop where
/-- A measurable embedding is injective. -/
protected injective : Injective f
/-- A measurable embedding is a measurable function. -/
protected measurable : Measurable f
/-- The image of a measurable set under a measurable embedding is a measurable set. -/
protected measurableSet_image' : ∀ ⦃s⦄, MeasurableSet s → MeasurableSet (f '' s)
#align measurable_embedding MeasurableEmbedding
namespace MeasurableEmbedding
variable {mα : MeasurableSpace α} [MeasurableSpace β] [MeasurableSpace γ] {f : α → β} {g : β → γ}
theorem measurableSet_image (hf : MeasurableEmbedding f) {s : Set α} :
MeasurableSet (f '' s) ↔ MeasurableSet s :=
⟨fun h => by simpa only [hf.injective.preimage_image] using hf.measurable h, fun h =>
hf.measurableSet_image' h⟩
#align measurable_embedding.measurable_set_image MeasurableEmbedding.measurableSet_image
theorem id : MeasurableEmbedding (id : α → α) :=
⟨injective_id, measurable_id, fun s hs => by rwa [image_id]⟩
#align measurable_embedding.id MeasurableEmbedding.id
theorem comp (hg : MeasurableEmbedding g) (hf : MeasurableEmbedding f) :
MeasurableEmbedding (g ∘ f) :=
⟨hg.injective.comp hf.injective, hg.measurable.comp hf.measurable, fun s hs => by
rwa [image_comp, hg.measurableSet_image, hf.measurableSet_image]⟩
#align measurable_embedding.comp MeasurableEmbedding.comp
theorem subtype_coe {s : Set α} (hs : MeasurableSet s) : MeasurableEmbedding ((↑) : s → α) where
injective := Subtype.coe_injective
measurable := measurable_subtype_coe
measurableSet_image' := fun _ => MeasurableSet.subtype_image hs
#align measurable_embedding.subtype_coe MeasurableEmbedding.subtype_coe
theorem measurableSet_range (hf : MeasurableEmbedding f) : MeasurableSet (range f) := by
rw [← image_univ]
exact hf.measurableSet_image' MeasurableSet.univ
#align measurable_embedding.measurable_set_range MeasurableEmbedding.measurableSet_range
theorem measurableSet_preimage (hf : MeasurableEmbedding f) {s : Set β} :
MeasurableSet (f ⁻¹' s) ↔ MeasurableSet (s ∩ range f) := by
rw [← image_preimage_eq_inter_range, hf.measurableSet_image]
#align measurable_embedding.measurable_set_preimage MeasurableEmbedding.measurableSet_preimage
theorem measurable_rangeSplitting (hf : MeasurableEmbedding f) :
Measurable (rangeSplitting f) := fun s hs => by
rwa [preimage_rangeSplitting hf.injective,
← (subtype_coe hf.measurableSet_range).measurableSet_image, ← image_comp,
coe_comp_rangeFactorization, hf.measurableSet_image]
#align measurable_embedding.measurable_range_splitting MeasurableEmbedding.measurable_rangeSplitting
theorem measurable_extend (hf : MeasurableEmbedding f) {g : α → γ} {g' : β → γ} (hg : Measurable g)
(hg' : Measurable g') : Measurable (extend f g g') := by
refine measurable_of_restrict_of_restrict_compl hf.measurableSet_range ?_ ?_
· rw [restrict_extend_range]
simpa only [rangeSplitting] using hg.comp hf.measurable_rangeSplitting
· rw [restrict_extend_compl_range]
exact hg'.comp measurable_subtype_coe
#align measurable_embedding.measurable_extend MeasurableEmbedding.measurable_extend
theorem exists_measurable_extend (hf : MeasurableEmbedding f) {g : α → γ} (hg : Measurable g)
(hne : β → Nonempty γ) : ∃ g' : β → γ, Measurable g' ∧ g' ∘ f = g :=
⟨extend f g fun x => Classical.choice (hne x),
hf.measurable_extend hg (measurable_const' fun _ _ => rfl),
funext fun _ => hf.injective.extend_apply _ _ _⟩
#align measurable_embedding.exists_measurable_extend MeasurableEmbedding.exists_measurable_extend
theorem measurable_comp_iff (hg : MeasurableEmbedding g) : Measurable (g ∘ f) ↔ Measurable f := by
refine ⟨fun H => ?_, hg.measurable.comp⟩
suffices Measurable ((rangeSplitting g ∘ rangeFactorization g) ∘ f) by
rwa [(rightInverse_rangeSplitting hg.injective).comp_eq_id] at this
exact hg.measurable_rangeSplitting.comp H.subtype_mk
#align measurable_embedding.measurable_comp_iff MeasurableEmbedding.measurable_comp_iff
end MeasurableEmbedding
theorem MeasurableSet.exists_measurable_proj {_ : MeasurableSpace α} {s : Set α}
(hs : MeasurableSet s) (hne : s.Nonempty) : ∃ f : α → s, Measurable f ∧ ∀ x : s, f x = x :=
let ⟨f, hfm, hf⟩ :=
(MeasurableEmbedding.subtype_coe hs).exists_measurable_extend measurable_id fun _ =>
hne.to_subtype
⟨f, hfm, congr_fun hf⟩
#align measurable_set.exists_measurable_proj MeasurableSet.exists_measurable_proj
/-- Equivalences between measurable spaces. Main application is the simplification of measurability
statements along measurable equivalences. -/
structure MeasurableEquiv (α β : Type*) [MeasurableSpace α] [MeasurableSpace β] extends α ≃ β where
/-- The forward function of a measurable equivalence is measurable. -/
measurable_toFun : Measurable toEquiv
/-- The inverse function of a measurable equivalence is measurable. -/
measurable_invFun : Measurable toEquiv.symm
#align measurable_equiv MeasurableEquiv
@[inherit_doc]
infixl:25 " ≃ᵐ " => MeasurableEquiv
namespace MeasurableEquiv
variable [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ]
theorem toEquiv_injective : Injective (toEquiv : α ≃ᵐ β → α ≃ β) := by
rintro ⟨e₁, _, _⟩ ⟨e₂, _, _⟩ (rfl : e₁ = e₂)
rfl
#align measurable_equiv.to_equiv_injective MeasurableEquiv.toEquiv_injective
instance instEquivLike : EquivLike (α ≃ᵐ β) α β where
coe e := e.toEquiv
inv e := e.toEquiv.symm
left_inv e := e.toEquiv.left_inv
right_inv e := e.toEquiv.right_inv
coe_injective' _ _ he _ := toEquiv_injective <| DFunLike.ext' he
@[simp]
theorem coe_toEquiv (e : α ≃ᵐ β) : (e.toEquiv : α → β) = e :=
rfl
#align measurable_equiv.coe_to_equiv MeasurableEquiv.coe_toEquiv
@[measurability]
protected theorem measurable (e : α ≃ᵐ β) : Measurable (e : α → β) :=
e.measurable_toFun
#align measurable_equiv.measurable MeasurableEquiv.measurable
@[simp]
theorem coe_mk (e : α ≃ β) (h1 : Measurable e) (h2 : Measurable e.symm) :
((⟨e, h1, h2⟩ : α ≃ᵐ β) : α → β) = e :=
rfl
#align measurable_equiv.coe_mk MeasurableEquiv.coe_mk
/-- Any measurable space is equivalent to itself. -/
def refl (α : Type*) [MeasurableSpace α] : α ≃ᵐ α where
toEquiv := Equiv.refl α
measurable_toFun := measurable_id
measurable_invFun := measurable_id
#align measurable_equiv.refl MeasurableEquiv.refl
instance instInhabited : Inhabited (α ≃ᵐ α) := ⟨refl α⟩
/-- The composition of equivalences between measurable spaces. -/
def trans (ab : α ≃ᵐ β) (bc : β ≃ᵐ γ) : α ≃ᵐ γ where
toEquiv := ab.toEquiv.trans bc.toEquiv
measurable_toFun := bc.measurable_toFun.comp ab.measurable_toFun
measurable_invFun := ab.measurable_invFun.comp bc.measurable_invFun
#align measurable_equiv.trans MeasurableEquiv.trans
theorem coe_trans (ab : α ≃ᵐ β) (bc : β ≃ᵐ γ) : ⇑(ab.trans bc) = bc ∘ ab := rfl
/-- The inverse of an equivalence between measurable spaces. -/
def symm (ab : α ≃ᵐ β) : β ≃ᵐ α where
toEquiv := ab.toEquiv.symm
measurable_toFun := ab.measurable_invFun
measurable_invFun := ab.measurable_toFun
#align measurable_equiv.symm MeasurableEquiv.symm
@[simp]
theorem coe_toEquiv_symm (e : α ≃ᵐ β) : (e.toEquiv.symm : β → α) = e.symm :=
rfl
#align measurable_equiv.coe_to_equiv_symm MeasurableEquiv.coe_toEquiv_symm
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def Simps.apply (h : α ≃ᵐ β) : α → β := h
#align measurable_equiv.simps.apply MeasurableEquiv.Simps.apply
/-- See Note [custom simps projection] -/
def Simps.symm_apply (h : α ≃ᵐ β) : β → α := h.symm
#align measurable_equiv.simps.symm_apply MeasurableEquiv.Simps.symm_apply
initialize_simps_projections MeasurableEquiv (toFun → apply, invFun → symm_apply)
@[ext] theorem ext {e₁ e₂ : α ≃ᵐ β} (h : (e₁ : α → β) = e₂) : e₁ = e₂ := DFunLike.ext' h
#align measurable_equiv.ext MeasurableEquiv.ext
@[simp]
theorem symm_mk (e : α ≃ β) (h1 : Measurable e) (h2 : Measurable e.symm) :
(⟨e, h1, h2⟩ : α ≃ᵐ β).symm = ⟨e.symm, h2, h1⟩ :=
rfl
#align measurable_equiv.symm_mk MeasurableEquiv.symm_mk
attribute [simps! apply toEquiv] trans refl
@[simp]
theorem symm_symm (e : α ≃ᵐ β) : e.symm.symm = e := rfl
theorem symm_bijective :
Function.Bijective (MeasurableEquiv.symm : (α ≃ᵐ β) → β ≃ᵐ α) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
@[simp]
theorem symm_refl (α : Type*) [MeasurableSpace α] : (refl α).symm = refl α :=
rfl
#align measurable_equiv.symm_refl MeasurableEquiv.symm_refl
@[simp]
theorem symm_comp_self (e : α ≃ᵐ β) : e.symm ∘ e = id :=
funext e.left_inv
#align measurable_equiv.symm_comp_self MeasurableEquiv.symm_comp_self
@[simp]
theorem self_comp_symm (e : α ≃ᵐ β) : e ∘ e.symm = id :=
funext e.right_inv
#align measurable_equiv.self_comp_symm MeasurableEquiv.self_comp_symm
@[simp]
theorem apply_symm_apply (e : α ≃ᵐ β) (y : β) : e (e.symm y) = y :=
e.right_inv y
#align measurable_equiv.apply_symm_apply MeasurableEquiv.apply_symm_apply
@[simp]
theorem symm_apply_apply (e : α ≃ᵐ β) (x : α) : e.symm (e x) = x :=
e.left_inv x
#align measurable_equiv.symm_apply_apply MeasurableEquiv.symm_apply_apply
@[simp]
theorem symm_trans_self (e : α ≃ᵐ β) : e.symm.trans e = refl β :=
ext e.self_comp_symm
#align measurable_equiv.symm_trans_self MeasurableEquiv.symm_trans_self
@[simp]
theorem self_trans_symm (e : α ≃ᵐ β) : e.trans e.symm = refl α :=
ext e.symm_comp_self
#align measurable_equiv.self_trans_symm MeasurableEquiv.self_trans_symm
protected theorem surjective (e : α ≃ᵐ β) : Surjective e :=
e.toEquiv.surjective
#align measurable_equiv.surjective MeasurableEquiv.surjective
protected theorem bijective (e : α ≃ᵐ β) : Bijective e :=
e.toEquiv.bijective
#align measurable_equiv.bijective MeasurableEquiv.bijective
protected theorem injective (e : α ≃ᵐ β) : Injective e :=
e.toEquiv.injective
#align measurable_equiv.injective MeasurableEquiv.injective
@[simp]
theorem symm_preimage_preimage (e : α ≃ᵐ β) (s : Set β) : e.symm ⁻¹' (e ⁻¹' s) = s :=
e.toEquiv.symm_preimage_preimage s
#align measurable_equiv.symm_preimage_preimage MeasurableEquiv.symm_preimage_preimage
theorem image_eq_preimage (e : α ≃ᵐ β) (s : Set α) : e '' s = e.symm ⁻¹' s :=
e.toEquiv.image_eq_preimage s
#align measurable_equiv.image_eq_preimage MeasurableEquiv.image_eq_preimage
lemma preimage_symm (e : α ≃ᵐ β) (s : Set α) : e.symm ⁻¹' s = e '' s := (image_eq_preimage _ _).symm
lemma image_symm (e : α ≃ᵐ β) (s : Set β) : e.symm '' s = e ⁻¹' s := by
rw [← symm_symm e, preimage_symm, symm_symm]
lemma eq_image_iff_symm_image_eq (e : α ≃ᵐ β) (s : Set β) (t : Set α) :
s = e '' t ↔ e.symm '' s = t := by
rw [← coe_toEquiv, Equiv.eq_image_iff_symm_image_eq, coe_toEquiv_symm]
@[simp]
lemma image_preimage (e : α ≃ᵐ β) (s : Set β) : e '' (e ⁻¹' s) = s := by
rw [← coe_toEquiv, Equiv.image_preimage]
@[simp]
lemma preimage_image (e : α ≃ᵐ β) (s : Set α) : e ⁻¹' (e '' s) = s := by
rw [← coe_toEquiv, Equiv.preimage_image]
@[simp]
theorem measurableSet_preimage (e : α ≃ᵐ β) {s : Set β} :
MeasurableSet (e ⁻¹' s) ↔ MeasurableSet s :=
⟨fun h => by simpa only [symm_preimage_preimage] using e.symm.measurable h, fun h =>
e.measurable h⟩
#align measurable_equiv.measurable_set_preimage MeasurableEquiv.measurableSet_preimage
@[simp]
theorem measurableSet_image (e : α ≃ᵐ β) {s : Set α} :
MeasurableSet (e '' s) ↔ MeasurableSet s := by rw [image_eq_preimage, measurableSet_preimage]
#align measurable_equiv.measurable_set_image MeasurableEquiv.measurableSet_image
@[simp] theorem map_eq (e : α ≃ᵐ β) : MeasurableSpace.map e ‹_› = ‹_› :=
e.measurable.le_map.antisymm' fun _s ↦ e.measurableSet_preimage.1
#align measurable_equiv.map_eq MeasurableEquiv.map_eq
/-- A measurable equivalence is a measurable embedding. -/
protected theorem measurableEmbedding (e : α ≃ᵐ β) : MeasurableEmbedding e where
injective := e.injective
measurable := e.measurable
measurableSet_image' := fun _ => e.measurableSet_image.2
#align measurable_equiv.measurable_embedding MeasurableEquiv.measurableEmbedding
/-- Equal measurable spaces are equivalent. -/
protected def cast {α β} [i₁ : MeasurableSpace α] [i₂ : MeasurableSpace β] (h : α = β)
(hi : HEq i₁ i₂) : α ≃ᵐ β where
toEquiv := Equiv.cast h
measurable_toFun := by
subst h
subst hi
exact measurable_id
measurable_invFun := by
subst h
subst hi
exact measurable_id
#align measurable_equiv.cast MeasurableEquiv.cast
/-- Measurable equivalence between `ULift α` and `α`. -/
def ulift.{u, v} {α : Type u} [MeasurableSpace α] : ULift.{v, u} α ≃ᵐ α :=
⟨Equiv.ulift, measurable_down, measurable_up⟩
protected theorem measurable_comp_iff {f : β → γ} (e : α ≃ᵐ β) :
Measurable (f ∘ e) ↔ Measurable f :=
Iff.intro
(fun hfe => by
have : Measurable (f ∘ (e.symm.trans e).toEquiv) := hfe.comp e.symm.measurable
rwa [coe_toEquiv, symm_trans_self] at this)
fun h => h.comp e.measurable
#align measurable_equiv.measurable_comp_iff MeasurableEquiv.measurable_comp_iff
/-- Any two types with unique elements are measurably equivalent. -/
def ofUniqueOfUnique (α β : Type*) [MeasurableSpace α] [MeasurableSpace β] [Unique α] [Unique β] :
α ≃ᵐ β where
toEquiv := equivOfUnique α β
measurable_toFun := Subsingleton.measurable
measurable_invFun := Subsingleton.measurable
#align measurable_equiv.of_unique_of_unique MeasurableEquiv.ofUniqueOfUnique
/-- Products of equivalent measurable spaces are equivalent. -/
def prodCongr (ab : α ≃ᵐ β) (cd : γ ≃ᵐ δ) : α × γ ≃ᵐ β × δ where
toEquiv := .prodCongr ab.toEquiv cd.toEquiv
measurable_toFun :=
(ab.measurable_toFun.comp measurable_id.fst).prod_mk
(cd.measurable_toFun.comp measurable_id.snd)
measurable_invFun :=
(ab.measurable_invFun.comp measurable_id.fst).prod_mk
(cd.measurable_invFun.comp measurable_id.snd)
#align measurable_equiv.prod_congr MeasurableEquiv.prodCongr
/-- Products of measurable spaces are symmetric. -/
def prodComm : α × β ≃ᵐ β × α where
toEquiv := .prodComm α β
measurable_toFun := measurable_id.snd.prod_mk measurable_id.fst
measurable_invFun := measurable_id.snd.prod_mk measurable_id.fst
#align measurable_equiv.prod_comm MeasurableEquiv.prodComm
/-- Products of measurable spaces are associative. -/
def prodAssoc : (α × β) × γ ≃ᵐ α × β × γ where
toEquiv := .prodAssoc α β γ
measurable_toFun := measurable_fst.fst.prod_mk <| measurable_fst.snd.prod_mk measurable_snd
measurable_invFun := (measurable_fst.prod_mk measurable_snd.fst).prod_mk measurable_snd.snd
#align measurable_equiv.prod_assoc MeasurableEquiv.prodAssoc
/-- Sums of measurable spaces are symmetric. -/
def sumCongr (ab : α ≃ᵐ β) (cd : γ ≃ᵐ δ) : Sum α γ ≃ᵐ Sum β δ where
toEquiv := .sumCongr ab.toEquiv cd.toEquiv
measurable_toFun := ab.measurable.sumMap cd.measurable
measurable_invFun := ab.symm.measurable.sumMap cd.symm.measurable
#align measurable_equiv.sum_congr MeasurableEquiv.sumCongr
/-- `s ×ˢ t ≃ (s × t)` as measurable spaces. -/
def Set.prod (s : Set α) (t : Set β) : ↥(s ×ˢ t) ≃ᵐ s × t where
toEquiv := Equiv.Set.prod s t
measurable_toFun :=
measurable_id.subtype_val.fst.subtype_mk.prod_mk measurable_id.subtype_val.snd.subtype_mk
measurable_invFun :=
Measurable.subtype_mk <| measurable_id.fst.subtype_val.prod_mk measurable_id.snd.subtype_val
#align measurable_equiv.set.prod MeasurableEquiv.Set.prod
/-- `univ α ≃ α` as measurable spaces. -/
def Set.univ (α : Type*) [MeasurableSpace α] : (univ : Set α) ≃ᵐ α where
toEquiv := Equiv.Set.univ α
measurable_toFun := measurable_id.subtype_val
measurable_invFun := measurable_id.subtype_mk
#align measurable_equiv.set.univ MeasurableEquiv.Set.univ
/-- `{a} ≃ Unit` as measurable spaces. -/
def Set.singleton (a : α) : ({a} : Set α) ≃ᵐ Unit where
toEquiv := Equiv.Set.singleton a
measurable_toFun := measurable_const
measurable_invFun := measurable_const
#align measurable_equiv.set.singleton MeasurableEquiv.Set.singleton
/-- `α` is equivalent to its image in `α ⊕ β` as measurable spaces. -/
def Set.rangeInl : (range Sum.inl : Set (α ⊕ β)) ≃ᵐ α where
toEquiv := Equiv.Set.rangeInl α β
measurable_toFun s (hs : MeasurableSet s) := by
refine ⟨_, hs.inl_image, Set.ext ?_⟩
rintro ⟨ab, a, rfl⟩
simp [Set.range_inl]
measurable_invFun := Measurable.subtype_mk measurable_inl
#align measurable_equiv.set.range_inl MeasurableEquiv.Set.rangeInl
/-- `β` is equivalent to its image in `α ⊕ β` as measurable spaces. -/
def Set.rangeInr : (range Sum.inr : Set (Sum α β)) ≃ᵐ β where
toEquiv := Equiv.Set.rangeInr α β
measurable_toFun s (hs : MeasurableSet s) := by
refine ⟨_, hs.inr_image, Set.ext ?_⟩
rintro ⟨ab, b, rfl⟩
simp [Set.range_inr]
measurable_invFun := Measurable.subtype_mk measurable_inr
#align measurable_equiv.set.range_inr MeasurableEquiv.Set.rangeInr
/-- Products distribute over sums (on the right) as measurable spaces. -/
def sumProdDistrib (α β γ) [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ] :
(α ⊕ β) × γ ≃ᵐ (α × γ) ⊕ (β × γ) where
toEquiv := .sumProdDistrib α β γ
measurable_toFun := by
refine
measurable_of_measurable_union_cover (range Sum.inl ×ˢ (univ : Set γ))
(range Sum.inr ×ˢ (univ : Set γ)) (measurableSet_range_inl.prod MeasurableSet.univ)
(measurableSet_range_inr.prod MeasurableSet.univ)
(by rintro ⟨a | b, c⟩ <;> simp [Set.prod_eq]) ?_ ?_
· refine (Set.prod (range Sum.inl) univ).symm.measurable_comp_iff.1 ?_
refine (prodCongr Set.rangeInl (Set.univ _)).symm.measurable_comp_iff.1 ?_
exact measurable_inl
· refine (Set.prod (range Sum.inr) univ).symm.measurable_comp_iff.1 ?_
refine (prodCongr Set.rangeInr (Set.univ _)).symm.measurable_comp_iff.1 ?_
exact measurable_inr
measurable_invFun :=
measurable_sum ((measurable_inl.comp measurable_fst).prod_mk measurable_snd)
((measurable_inr.comp measurable_fst).prod_mk measurable_snd)
#align measurable_equiv.sum_prod_distrib MeasurableEquiv.sumProdDistrib
/-- Products distribute over sums (on the left) as measurable spaces. -/
def prodSumDistrib (α β γ) [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ] :
α × (β ⊕ γ) ≃ᵐ (α × β) ⊕ (α × γ) :=
prodComm.trans <| (sumProdDistrib _ _ _).trans <| sumCongr prodComm prodComm
#align measurable_equiv.prod_sum_distrib MeasurableEquiv.prodSumDistrib
/-- Products distribute over sums as measurable spaces. -/
def sumProdSum (α β γ δ) [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ]
[MeasurableSpace δ] : (α ⊕ β) × (γ ⊕ δ) ≃ᵐ ((α × γ) ⊕ (α × δ)) ⊕ ((β × γ) ⊕ (β × δ)) :=
(sumProdDistrib _ _ _).trans <| sumCongr (prodSumDistrib _ _ _) (prodSumDistrib _ _ _)
#align measurable_equiv.sum_prod_sum MeasurableEquiv.sumProdSum
variable {π π' : δ' → Type*} [∀ x, MeasurableSpace (π x)] [∀ x, MeasurableSpace (π' x)]
/-- A family of measurable equivalences `Π a, β₁ a ≃ᵐ β₂ a` generates a measurable equivalence
between `Π a, β₁ a` and `Π a, β₂ a`. -/
def piCongrRight (e : ∀ a, π a ≃ᵐ π' a) : (∀ a, π a) ≃ᵐ ∀ a, π' a where
toEquiv := .piCongrRight fun a => (e a).toEquiv
measurable_toFun :=
measurable_pi_lambda _ fun i => (e i).measurable_toFun.comp (measurable_pi_apply i)
measurable_invFun :=
measurable_pi_lambda _ fun i => (e i).measurable_invFun.comp (measurable_pi_apply i)
#align measurable_equiv.Pi_congr_right MeasurableEquiv.piCongrRight
variable (π) in
/-- Moving a dependent type along an equivalence of coordinates, as a measurable equivalence. -/
def piCongrLeft (f : δ ≃ δ') : (∀ b, π (f b)) ≃ᵐ ∀ a, π a where
__ := Equiv.piCongrLeft π f
measurable_toFun := measurable_piCongrLeft f
measurable_invFun := by
simp only [invFun_as_coe, coe_fn_symm_mk]
rw [measurable_pi_iff]
exact fun i => measurable_pi_apply (f i)
theorem coe_piCongrLeft (f : δ ≃ δ') :
⇑(MeasurableEquiv.piCongrLeft π f) = f.piCongrLeft π := by rfl
/-- Pi-types are measurably equivalent to iterated products. -/
@[simps! (config := .asFn)]
def piMeasurableEquivTProd [DecidableEq δ'] {l : List δ'} (hnd : l.Nodup) (h : ∀ i, i ∈ l) :
(∀ i, π i) ≃ᵐ List.TProd π l where
toEquiv := List.TProd.piEquivTProd hnd h
measurable_toFun := measurable_tProd_mk l
measurable_invFun := measurable_tProd_elim' h
#align measurable_equiv.pi_measurable_equiv_tprod MeasurableEquiv.piMeasurableEquivTProd
variable (π) in
/-- The measurable equivalence `(∀ i, π i) ≃ᵐ π ⋆` when the domain of `π` only contains `⋆` -/
@[simps! (config := .asFn)]
def piUnique [Unique δ'] : (∀ i, π i) ≃ᵐ π default where
toEquiv := Equiv.piUnique π
measurable_toFun := measurable_pi_apply _
measurable_invFun := measurable_uniqueElim
/-- If `α` has a unique term, then the type of function `α → β` is measurably equivalent to `β`. -/
@[simps! (config := .asFn)]
def funUnique (α β : Type*) [Unique α] [MeasurableSpace β] : (α → β) ≃ᵐ β :=
MeasurableEquiv.piUnique _
#align measurable_equiv.fun_unique MeasurableEquiv.funUnique
/-- The space `Π i : Fin 2, α i` is measurably equivalent to `α 0 × α 1`. -/
@[simps! (config := .asFn)]
def piFinTwo (α : Fin 2 → Type*) [∀ i, MeasurableSpace (α i)] : (∀ i, α i) ≃ᵐ α 0 × α 1 where
toEquiv := piFinTwoEquiv α
measurable_toFun := Measurable.prod (measurable_pi_apply _) (measurable_pi_apply _)
measurable_invFun := measurable_pi_iff.2 <| Fin.forall_fin_two.2 ⟨measurable_fst, measurable_snd⟩
#align measurable_equiv.pi_fin_two MeasurableEquiv.piFinTwo
/-- The space `Fin 2 → α` is measurably equivalent to `α × α`. -/
@[simps! (config := .asFn)]
def finTwoArrow : (Fin 2 → α) ≃ᵐ α × α :=
piFinTwo fun _ => α
#align measurable_equiv.fin_two_arrow MeasurableEquiv.finTwoArrow
/-- Measurable equivalence between `Π j : Fin (n + 1), α j` and
`α i × Π j : Fin n, α (Fin.succAbove i j)`. -/
@[simps! (config := .asFn)]
def piFinSuccAbove {n : ℕ} (α : Fin (n + 1) → Type*) [∀ i, MeasurableSpace (α i)]
(i : Fin (n + 1)) : (∀ j, α j) ≃ᵐ α i × ∀ j, α (i.succAbove j) where
toEquiv := .piFinSuccAbove α i
measurable_toFun := (measurable_pi_apply i).prod_mk <| measurable_pi_iff.2 fun j =>
measurable_pi_apply _
measurable_invFun := measurable_pi_iff.2 <| i.forall_iff_succAbove.2
⟨by simp only [piFinSuccAbove_symm_apply, Fin.insertNth_apply_same, measurable_fst],
fun j => by simpa only [piFinSuccAbove_symm_apply, Fin.insertNth_apply_succAbove]
using (measurable_pi_apply _).comp measurable_snd⟩
#align measurable_equiv.pi_fin_succ_above_equiv MeasurableEquiv.piFinSuccAbove
variable (π)
/-- Measurable equivalence between (dependent) functions on a type and pairs of functions on
`{i // p i}` and `{i // ¬p i}`. See also `Equiv.piEquivPiSubtypeProd`. -/
@[simps! (config := .asFn)]
def piEquivPiSubtypeProd (p : δ' → Prop) [DecidablePred p] :
(∀ i, π i) ≃ᵐ (∀ i : Subtype p, π i) × ∀ i : { i // ¬p i }, π i where
toEquiv := .piEquivPiSubtypeProd p π
measurable_toFun := measurable_piEquivPiSubtypeProd π p
measurable_invFun := measurable_piEquivPiSubtypeProd_symm π p
#align measurable_equiv.pi_equiv_pi_subtype_prod MeasurableEquiv.piEquivPiSubtypeProd
/-- The measurable equivalence between the pi type over a sum type and a product of pi-types.
This is similar to `MeasurableEquiv.piEquivPiSubtypeProd`. -/
def sumPiEquivProdPi (α : δ ⊕ δ' → Type*) [∀ i, MeasurableSpace (α i)] :
(∀ i, α i) ≃ᵐ (∀ i, α (.inl i)) × ∀ i', α (.inr i') where
__ := Equiv.sumPiEquivProdPi α
measurable_toFun := by
apply Measurable.prod <;> rw [measurable_pi_iff] <;> rintro i <;> apply measurable_pi_apply
measurable_invFun := by
rw [measurable_pi_iff]; rintro (i | i)
· exact measurable_pi_iff.1 measurable_fst _
· exact measurable_pi_iff.1 measurable_snd _
theorem coe_sumPiEquivProdPi (α : δ ⊕ δ' → Type*) [∀ i, MeasurableSpace (α i)] :
⇑(MeasurableEquiv.sumPiEquivProdPi α) = Equiv.sumPiEquivProdPi α := by rfl
theorem coe_sumPiEquivProdPi_symm (α : δ ⊕ δ' → Type*) [∀ i, MeasurableSpace (α i)] :
⇑(MeasurableEquiv.sumPiEquivProdPi α).symm = (Equiv.sumPiEquivProdPi α).symm := by rfl
/-- The measurable equivalence for (dependent) functions on an Option type
`(∀ i : Option δ, α i) ≃ᵐ (∀ (i : δ), α i) × α none`. -/
def piOptionEquivProd {δ : Type*} (α : Option δ → Type*) [∀ i, MeasurableSpace (α i)] :
(∀ i, α i) ≃ᵐ (∀ (i : δ), α i) × α none :=
let e : Option δ ≃ δ ⊕ Unit := Equiv.optionEquivSumPUnit δ
let em1 : ((i : δ ⊕ Unit) → α (e.symm i)) ≃ᵐ ((a : Option δ) → α a) :=
MeasurableEquiv.piCongrLeft α e.symm
let em2 : ((i : δ ⊕ Unit) → α (e.symm i)) ≃ᵐ ((i : δ) → α (e.symm (Sum.inl i)))
× ((i' : Unit) → α (e.symm (Sum.inr i'))) :=
MeasurableEquiv.sumPiEquivProdPi (fun i ↦ α (e.symm i))
let em3 : ((i : δ) → α (e.symm (Sum.inl i))) × ((i' : Unit) → α (e.symm (Sum.inr i')))
≃ᵐ ((i : δ) → α (some i)) × α none :=
MeasurableEquiv.prodCongr (MeasurableEquiv.refl ((i : δ) → α (e.symm (Sum.inl i))))
(MeasurableEquiv.piUnique fun i ↦ α (e.symm (Sum.inr i)))
em1.symm.trans <| em2.trans em3
/-- The measurable equivalence `(∀ i : s, π i) × (∀ i : t, π i) ≃ᵐ (∀ i : s ∪ t, π i)`
for disjoint finsets `s` and `t`. `Equiv.piFinsetUnion` as a measurable equivalence. -/
def piFinsetUnion [DecidableEq δ'] {s t : Finset δ'} (h : Disjoint s t) :
((∀ i : s, π i) × ∀ i : t, π i) ≃ᵐ ∀ i : (s ∪ t : Finset δ'), π i :=
letI e := Finset.union s t h
MeasurableEquiv.sumPiEquivProdPi (fun b ↦ π (e b)) |>.symm.trans <|
.piCongrLeft (fun i : ↥(s ∪ t) ↦ π i) e
/-- If `s` is a measurable set in a measurable space, that space is equivalent
to the sum of `s` and `sᶜ`. -/
def sumCompl {s : Set α} [DecidablePred (· ∈ s)] (hs : MeasurableSet s) :
s ⊕ (sᶜ : Set α) ≃ᵐ α where
toEquiv := .sumCompl (· ∈ s)
measurable_toFun := measurable_subtype_coe.sumElim measurable_subtype_coe
measurable_invFun := Measurable.dite measurable_inl measurable_inr hs
#align measurable_equiv.sum_compl MeasurableEquiv.sumCompl
/-- Convert a measurable involutive function `f` to a measurable permutation with
`toFun = invFun = f`. See also `Function.Involutive.toPerm`. -/
@[simps toEquiv]
def ofInvolutive (f : α → α) (hf : Involutive f) (hf' : Measurable f) : α ≃ᵐ α where
toEquiv := hf.toPerm
measurable_toFun := hf'
measurable_invFun := hf'
#align measurable_equiv.of_involutive MeasurableEquiv.ofInvolutive
@[simp] theorem ofInvolutive_apply (f : α → α) (hf : Involutive f) (hf' : Measurable f) (a : α) :
ofInvolutive f hf hf' a = f a := rfl
#align measurable_equiv.of_involutive_apply MeasurableEquiv.ofInvolutive_apply
@[simp] theorem ofInvolutive_symm (f : α → α) (hf : Involutive f) (hf' : Measurable f) :
(ofInvolutive f hf hf').symm = ofInvolutive f hf hf' := rfl
#align measurable_equiv.of_involutive_symm MeasurableEquiv.ofInvolutive_symm
end MeasurableEquiv
namespace MeasurableEmbedding
variable [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ] {f : α → β} {g : β → α}
@[simp] theorem comap_eq (hf : MeasurableEmbedding f) : MeasurableSpace.comap f ‹_› = ‹_› :=
hf.measurable.comap_le.antisymm fun _s h ↦
⟨_, hf.measurableSet_image' h, hf.injective.preimage_image _⟩
#align measurable_embedding.comap_eq MeasurableEmbedding.comap_eq
theorem iff_comap_eq :
MeasurableEmbedding f ↔
Injective f ∧ MeasurableSpace.comap f ‹_› = ‹_› ∧ MeasurableSet (range f) :=
⟨fun hf ↦ ⟨hf.injective, hf.comap_eq, hf.measurableSet_range⟩, fun hf ↦
{ injective := hf.1
measurable := by rw [← hf.2.1]; exact comap_measurable f
measurableSet_image' := by
rw [← hf.2.1]
rintro _ ⟨s, hs, rfl⟩
simpa only [image_preimage_eq_inter_range] using hs.inter hf.2.2 }⟩
#align measurable_embedding.iff_comap_eq MeasurableEmbedding.iff_comap_eq
/-- A set is equivalent to its image under a function `f` as measurable spaces,
if `f` is a measurable embedding -/
noncomputable def equivImage (s : Set α) (hf : MeasurableEmbedding f) : s ≃ᵐ f '' s where
toEquiv := Equiv.Set.image f s hf.injective
measurable_toFun := (hf.measurable.comp measurable_id.subtype_val).subtype_mk
measurable_invFun := by
rintro t ⟨u, hu, rfl⟩; simp [preimage_preimage, Set.image_symm_preimage hf.injective]
exact measurable_subtype_coe (hf.measurableSet_image' hu)
#align measurable_embedding.equiv_image MeasurableEmbedding.equivImage
/-- The domain of `f` is equivalent to its range as measurable spaces,
if `f` is a measurable embedding -/
noncomputable def equivRange (hf : MeasurableEmbedding f) : α ≃ᵐ range f :=
(MeasurableEquiv.Set.univ _).symm.trans <|
(hf.equivImage univ).trans <| MeasurableEquiv.cast (by rw [image_univ]) (by rw [image_univ])
#align measurable_embedding.equiv_range MeasurableEmbedding.equivRange
theorem of_measurable_inverse_on_range {g : range f → α} (hf₁ : Measurable f)
(hf₂ : MeasurableSet (range f)) (hg : Measurable g) (H : LeftInverse g (rangeFactorization f)) :
MeasurableEmbedding f := by
set e : α ≃ᵐ range f :=
⟨⟨rangeFactorization f, g, H, H.rightInverse_of_surjective surjective_onto_range⟩,
hf₁.subtype_mk, hg⟩
exact (MeasurableEmbedding.subtype_coe hf₂).comp e.measurableEmbedding
#align measurable_embedding.of_measurable_inverse_on_range MeasurableEmbedding.of_measurable_inverse_on_range
theorem of_measurable_inverse (hf₁ : Measurable f) (hf₂ : MeasurableSet (range f))
(hg : Measurable g) (H : LeftInverse g f) : MeasurableEmbedding f :=
of_measurable_inverse_on_range hf₁ hf₂ (hg.comp measurable_subtype_coe) H
#align measurable_embedding.of_measurable_inverse MeasurableEmbedding.of_measurable_inverse
open scoped Classical
/-- The **measurable Schröder-Bernstein Theorem**: given measurable embeddings
`α → β` and `β → α`, we can find a measurable equivalence `α ≃ᵐ β`. -/
noncomputable def schroederBernstein {f : α → β} {g : β → α} (hf : MeasurableEmbedding f)
(hg : MeasurableEmbedding g) : α ≃ᵐ β := by
let F : Set α → Set α := fun A => (g '' (f '' A)ᶜ)ᶜ
-- We follow the proof of the usual SB theorem in mathlib,
-- the crux of which is finding a fixed point of this F.
-- However, we must find this fixed point manually instead of invoking Knaster-Tarski
-- in order to make sure it is measurable.
suffices Σ'A : Set α, MeasurableSet A ∧ F A = A by
rcases this with ⟨A, Ameas, Afp⟩
let B := f '' A
have Bmeas : MeasurableSet B := hf.measurableSet_image' Ameas
refine (MeasurableEquiv.sumCompl Ameas).symm.trans
(MeasurableEquiv.trans ?_ (MeasurableEquiv.sumCompl Bmeas))
apply MeasurableEquiv.sumCongr (hf.equivImage _)
have : Aᶜ = g '' Bᶜ := by
apply compl_injective
rw [← Afp]
simp
rw [this]
exact (hg.equivImage _).symm
have Fmono : ∀ {A B}, A ⊆ B → F A ⊆ F B := fun h =>
compl_subset_compl.mpr <| Set.image_subset _ <| compl_subset_compl.mpr <| Set.image_subset _ h
let X : ℕ → Set α := fun n => F^[n] univ
refine ⟨iInter X, ?_, ?_⟩
· apply MeasurableSet.iInter
intro n
induction' n with n ih
· exact MeasurableSet.univ
rw [Function.iterate_succ', Function.comp_apply]
exact (hg.measurableSet_image' (hf.measurableSet_image' ih).compl).compl
apply subset_antisymm
· apply subset_iInter
intro n
cases n
· exact subset_univ _
rw [Function.iterate_succ', Function.comp_apply]
exact Fmono (iInter_subset _ _)
rintro x hx ⟨y, hy, rfl⟩
rw [mem_iInter] at hx
apply hy
rw [hf.injective.injOn.image_iInter_eq]
rw [mem_iInter]
intro n
specialize hx n.succ
rw [Function.iterate_succ', Function.comp_apply] at hx
by_contra h
apply hx
exact ⟨y, h, rfl⟩
#align measurable_embedding.schroeder_bernstein MeasurableEmbedding.schroederBernstein
end MeasurableEmbedding
theorem MeasurableSpace.comap_compl {m' : MeasurableSpace β} [BooleanAlgebra β]
(h : Measurable (compl : β → β)) (f : α → β) :
MeasurableSpace.comap (fun a => (f a)ᶜ) inferInstance =
MeasurableSpace.comap f inferInstance := by
rw [← Function.comp_def, ← MeasurableSpace.comap_comp]
congr
exact (MeasurableEquiv.ofInvolutive _ compl_involutive h).measurableEmbedding.comap_eq
#align measurable_space.comap_compl MeasurableSpace.comap_compl
@[simp] theorem MeasurableSpace.comap_not (p : α → Prop) :
MeasurableSpace.comap (fun a ↦ ¬p a) inferInstance = MeasurableSpace.comap p inferInstance :=
MeasurableSpace.comap_compl (fun _ _ ↦ measurableSet_top) _
#align measurable_space.comap_not MeasurableSpace.comap_not
namespace Filter
variable [MeasurableSpace α]
/-- A filter `f` is measurably generates if each `s ∈ f` includes a measurable `t ∈ f`. -/
class IsMeasurablyGenerated (f : Filter α) : Prop where
exists_measurable_subset : ∀ ⦃s⦄, s ∈ f → ∃ t ∈ f, MeasurableSet t ∧ t ⊆ s
#align filter.is_measurably_generated Filter.IsMeasurablyGenerated
instance isMeasurablyGenerated_bot : IsMeasurablyGenerated (⊥ : Filter α) :=
⟨fun _ _ => ⟨∅, mem_bot, MeasurableSet.empty, empty_subset _⟩⟩
#align filter.is_measurably_generated_bot Filter.isMeasurablyGenerated_bot
instance isMeasurablyGenerated_top : IsMeasurablyGenerated (⊤ : Filter α) :=
⟨fun _s hs => ⟨univ, univ_mem, MeasurableSet.univ, fun x _ => hs x⟩⟩
#align filter.is_measurably_generated_top Filter.isMeasurablyGenerated_top
theorem Eventually.exists_measurable_mem {f : Filter α} [IsMeasurablyGenerated f] {p : α → Prop}
(h : ∀ᶠ x in f, p x) : ∃ s ∈ f, MeasurableSet s ∧ ∀ x ∈ s, p x :=
IsMeasurablyGenerated.exists_measurable_subset h
#align filter.eventually.exists_measurable_mem Filter.Eventually.exists_measurable_mem
theorem Eventually.exists_measurable_mem_of_smallSets {f : Filter α} [IsMeasurablyGenerated f]
{p : Set α → Prop} (h : ∀ᶠ s in f.smallSets, p s) : ∃ s ∈ f, MeasurableSet s ∧ p s :=
let ⟨_s, hsf, hs⟩ := eventually_smallSets.1 h
let ⟨t, htf, htm, hts⟩ := IsMeasurablyGenerated.exists_measurable_subset hsf
⟨t, htf, htm, hs t hts⟩
#align filter.eventually.exists_measurable_mem_of_small_sets Filter.Eventually.exists_measurable_mem_of_smallSets
instance inf_isMeasurablyGenerated (f g : Filter α) [IsMeasurablyGenerated f]
[IsMeasurablyGenerated g] : IsMeasurablyGenerated (f ⊓ g) := by
constructor
rintro t ⟨sf, hsf, sg, hsg, rfl⟩
rcases IsMeasurablyGenerated.exists_measurable_subset hsf with ⟨s'f, hs'f, hmf, hs'sf⟩
rcases IsMeasurablyGenerated.exists_measurable_subset hsg with ⟨s'g, hs'g, hmg, hs'sg⟩
refine ⟨s'f ∩ s'g, inter_mem_inf hs'f hs'g, hmf.inter hmg, ?_⟩
exact inter_subset_inter hs'sf hs'sg
#align filter.inf_is_measurably_generated Filter.inf_isMeasurablyGenerated
theorem principal_isMeasurablyGenerated_iff {s : Set α} :
IsMeasurablyGenerated (𝓟 s) ↔ MeasurableSet s := by
refine ⟨?_, fun hs => ⟨fun t ht => ⟨s, mem_principal_self s, hs, ht⟩⟩⟩
rintro ⟨hs⟩
rcases hs (mem_principal_self s) with ⟨t, ht, htm, hts⟩
have : t = s := hts.antisymm ht
rwa [← this]
#align filter.principal_is_measurably_generated_iff Filter.principal_isMeasurablyGenerated_iff
alias ⟨_, _root_.MeasurableSet.principal_isMeasurablyGenerated⟩ :=
principal_isMeasurablyGenerated_iff
#align measurable_set.principal_is_measurably_generated MeasurableSet.principal_isMeasurablyGenerated
instance iInf_isMeasurablyGenerated {f : ι → Filter α} [∀ i, IsMeasurablyGenerated (f i)] :
IsMeasurablyGenerated (⨅ i, f i) := by
refine ⟨fun s hs => ?_⟩
rw [← Equiv.plift.surjective.iInf_comp, mem_iInf] at hs
rcases hs with ⟨t, ht, ⟨V, hVf, rfl⟩⟩
choose U hUf hU using fun i => IsMeasurablyGenerated.exists_measurable_subset (hVf i)
refine ⟨⋂ i : t, U i, ?_, ?_, ?_⟩
· rw [← Equiv.plift.surjective.iInf_comp, mem_iInf]
exact ⟨t, ht, U, hUf, rfl⟩
· haveI := ht.countable.toEncodable.countable
exact MeasurableSet.iInter fun i => (hU i).1
· exact iInter_mono fun i => (hU i).2
#align filter.infi_is_measurably_generated Filter.iInf_isMeasurablyGenerated
end Filter
/-- The set of points for which a sequence of measurable functions converges to a given value
is measurable. -/
@[measurability]
lemma measurableSet_tendsto {_ : MeasurableSpace β} [MeasurableSpace γ]
[Countable δ] {l : Filter δ} [l.IsCountablyGenerated]
(l' : Filter γ) [l'.IsCountablyGenerated] [hl' : l'.IsMeasurablyGenerated]
{f : δ → β → γ} (hf : ∀ i, Measurable (f i)) :
MeasurableSet { x | Tendsto (fun n ↦ f n x) l l' } := by
rcases l.exists_antitone_basis with ⟨u, hu⟩
rcases (Filter.hasBasis_self.mpr hl'.exists_measurable_subset).exists_antitone_subbasis with
⟨v, v_meas, hv⟩
simp only [hu.tendsto_iff hv.toHasBasis, true_imp_iff, true_and, setOf_forall, setOf_exists]
exact .iInter fun n ↦ .iUnion fun _ ↦ .biInter (to_countable _) fun i _ ↦
(v_meas n).2.preimage (hf i)
/-- We say that a collection of sets is countably spanning if a countable subset spans the
whole type. This is a useful condition in various parts of measure theory. For example, it is
a needed condition to show that the product of two collections generate the product sigma algebra,
see `generateFrom_prod_eq`. -/
def IsCountablySpanning (C : Set (Set α)) : Prop :=
∃ s : ℕ → Set α, (∀ n, s n ∈ C) ∧ ⋃ n, s n = univ
#align is_countably_spanning IsCountablySpanning
theorem isCountablySpanning_measurableSet [MeasurableSpace α] :
IsCountablySpanning { s : Set α | MeasurableSet s } :=
⟨fun _ => univ, fun _ => MeasurableSet.univ, iUnion_const _⟩
#align is_countably_spanning_measurable_set isCountablySpanning_measurableSet
namespace MeasurableSet
/-!
### Typeclasses on `Subtype MeasurableSet`
-/
variable [MeasurableSpace α]
instance Subtype.instMembership : Membership α (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun a s => a ∈ (s : Set α)⟩
#align measurable_set.subtype.has_mem MeasurableSet.Subtype.instMembership
@[simp]
theorem mem_coe (a : α) (s : Subtype (MeasurableSet : Set α → Prop)) : a ∈ (s : Set α) ↔ a ∈ s :=
Iff.rfl
#align measurable_set.mem_coe MeasurableSet.mem_coe
instance Subtype.instEmptyCollection : EmptyCollection (Subtype (MeasurableSet : Set α → Prop)) :=
⟨⟨∅, MeasurableSet.empty⟩⟩
#align measurable_set.subtype.has_emptyc MeasurableSet.Subtype.instEmptyCollection
@[simp]
theorem coe_empty : ↑(∅ : Subtype (MeasurableSet : Set α → Prop)) = (∅ : Set α) :=
rfl
#align measurable_set.coe_empty MeasurableSet.coe_empty
instance Subtype.instInsert [MeasurableSingletonClass α] :
Insert α (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun a s => ⟨insert a (s : Set α), s.prop.insert a⟩⟩
#align measurable_set.subtype.has_insert MeasurableSet.Subtype.instInsert
@[simp]
theorem coe_insert [MeasurableSingletonClass α] (a : α)
(s : Subtype (MeasurableSet : Set α → Prop)) :
↑(Insert.insert a s) = (Insert.insert a s : Set α) :=
rfl
#align measurable_set.coe_insert MeasurableSet.coe_insert
instance Subtype.instSingleton [MeasurableSingletonClass α] :
Singleton α (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun a => ⟨{a}, .singleton _⟩⟩
@[simp] theorem coe_singleton [MeasurableSingletonClass α] (a : α) :
↑({a} : Subtype (MeasurableSet : Set α → Prop)) = ({a} : Set α) :=
rfl
instance Subtype.instLawfulSingleton [MeasurableSingletonClass α] :
LawfulSingleton α (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun _ => Subtype.eq <| insert_emptyc_eq _⟩
instance Subtype.instHasCompl : HasCompl (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun x => ⟨xᶜ, x.prop.compl⟩⟩
#align measurable_set.subtype.has_compl MeasurableSet.Subtype.instHasCompl
@[simp]
theorem coe_compl (s : Subtype (MeasurableSet : Set α → Prop)) : ↑sᶜ = (sᶜ : Set α) :=
rfl
#align measurable_set.coe_compl MeasurableSet.coe_compl
instance Subtype.instUnion : Union (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun x y => ⟨(x : Set α) ∪ y, x.prop.union y.prop⟩⟩
#align measurable_set.subtype.has_union MeasurableSet.Subtype.instUnion
@[simp]
theorem coe_union (s t : Subtype (MeasurableSet : Set α → Prop)) : ↑(s ∪ t) = (s ∪ t : Set α) :=
rfl
#align measurable_set.coe_union MeasurableSet.coe_union
instance Subtype.instSup : Sup (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun x y => x ∪ y⟩
-- Porting note (#10756): new lemma
@[simp]
protected theorem sup_eq_union (s t : {s : Set α // MeasurableSet s}) : s ⊔ t = s ∪ t := rfl
instance Subtype.instInter : Inter (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun x y => ⟨x ∩ y, x.prop.inter y.prop⟩⟩
#align measurable_set.subtype.has_inter MeasurableSet.Subtype.instInter
@[simp]
theorem coe_inter (s t : Subtype (MeasurableSet : Set α → Prop)) : ↑(s ∩ t) = (s ∩ t : Set α) :=
rfl
#align measurable_set.coe_inter MeasurableSet.coe_inter
instance Subtype.instInf : Inf (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun x y => x ∩ y⟩
-- Porting note (#10756): new lemma
@[simp]
protected theorem inf_eq_inter (s t : {s : Set α // MeasurableSet s}) : s ⊓ t = s ∩ t := rfl
instance Subtype.instSDiff : SDiff (Subtype (MeasurableSet : Set α → Prop)) :=
⟨fun x y => ⟨x \ y, x.prop.diff y.prop⟩⟩
#align measurable_set.subtype.has_sdiff MeasurableSet.Subtype.instSDiff
@[simp]
theorem coe_sdiff (s t : Subtype (MeasurableSet : Set α → Prop)) : ↑(s \ t) = (s : Set α) \ t :=
rfl
#align measurable_set.coe_sdiff MeasurableSet.coe_sdiff
instance Subtype.instBot : Bot (Subtype (MeasurableSet : Set α → Prop)) := ⟨∅⟩
#align measurable_set.subtype.has_bot MeasurableSet.Subtype.instBot
@[simp]
theorem coe_bot : ↑(⊥ : Subtype (MeasurableSet : Set α → Prop)) = (⊥ : Set α) :=
rfl
#align measurable_set.coe_bot MeasurableSet.coe_bot
instance Subtype.instTop : Top (Subtype (MeasurableSet : Set α → Prop)) :=
⟨⟨Set.univ, MeasurableSet.univ⟩⟩
#align measurable_set.subtype.has_top MeasurableSet.Subtype.instTop
@[simp]
theorem coe_top : ↑(⊤ : Subtype (MeasurableSet : Set α → Prop)) = (⊤ : Set α) :=
rfl
#align measurable_set.coe_top MeasurableSet.coe_top
instance Subtype.instBooleanAlgebra :
BooleanAlgebra (Subtype (MeasurableSet : Set α → Prop)) :=
Subtype.coe_injective.booleanAlgebra _ (fun _ _ => rfl) (fun _ _ => rfl) rfl rfl (fun _ => rfl)
fun _ _ => rfl
#align measurable_set.subtype.boolean_algebra MeasurableSet.Subtype.instBooleanAlgebra
@[measurability]
theorem measurableSet_blimsup {s : ℕ → Set α} {p : ℕ → Prop} (h : ∀ n, p n → MeasurableSet (s n)) :
MeasurableSet <| blimsup s atTop p := by
simp only [blimsup_eq_iInf_biSup_of_nat, iSup_eq_iUnion, iInf_eq_iInter]
exact .iInter fun _ => .iUnion fun m => .iUnion fun hm => h m hm.1
#align measurable_set.measurable_set_blimsup MeasurableSet.measurableSet_blimsup
@[measurability]
theorem measurableSet_bliminf {s : ℕ → Set α} {p : ℕ → Prop} (h : ∀ n, p n → MeasurableSet (s n)) :
MeasurableSet <| Filter.bliminf s Filter.atTop p := by
simp only [Filter.bliminf_eq_iSup_biInf_of_nat, iInf_eq_iInter, iSup_eq_iUnion]
exact .iUnion fun n => .iInter fun m => .iInter fun hm => h m hm.1
#align measurable_set.measurable_set_bliminf MeasurableSet.measurableSet_bliminf
@[measurability]
theorem measurableSet_limsup {s : ℕ → Set α} (hs : ∀ n, MeasurableSet <| s n) :
MeasurableSet <| Filter.limsup s Filter.atTop := by
simpa only [← blimsup_true] using measurableSet_blimsup fun n _ => hs n
#align measurable_set.measurable_set_limsup MeasurableSet.measurableSet_limsup
@[measurability]
| Mathlib/MeasureTheory/MeasurableSpace/Basic.lean | 2,262 | 2,264 | theorem measurableSet_liminf {s : ℕ → Set α} (hs : ∀ n, MeasurableSet <| s n) :
MeasurableSet <| Filter.liminf s Filter.atTop := by |
simpa only [← bliminf_true] using measurableSet_bliminf fun n _ => hs n
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.NormedSpace.Multilinear.Curry
#align_import analysis.calculus.formal_multilinear_series from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Formal multilinear series
In this file we define `FormalMultilinearSeries 𝕜 E F` to be a family of `n`-multilinear maps for
all `n`, designed to model the sequence of derivatives of a function. In other files we use this
notion to define `C^n` functions (called `contDiff` in `mathlib`) and analytic functions.
## Notations
We use the notation `E [×n]→L[𝕜] F` for the space of continuous multilinear maps on `E^n` with
values in `F`. This is the space in which the `n`-th derivative of a function from `E` to `F` lives.
## Tags
multilinear, formal series
-/
noncomputable section
open Set Fin Topology
-- Porting note: added explicit universes to fix compile
universe u u' v w x
variable {𝕜 : Type u} {𝕜' : Type u'} {E : Type v} {F : Type w} {G : Type x}
section
variable [Ring 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E]
[ContinuousConstSMul 𝕜 E] [AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F]
[TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] [AddCommGroup G] [Module 𝕜 G]
[TopologicalSpace G] [TopologicalAddGroup G] [ContinuousConstSMul 𝕜 G]
/-- A formal multilinear series over a field `𝕜`, from `E` to `F`, is given by a family of
multilinear maps from `E^n` to `F` for all `n`. -/
@[nolint unusedArguments]
def FormalMultilinearSeries (𝕜 : Type*) (E : Type*) (F : Type*) [Ring 𝕜] [AddCommGroup E]
[Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E]
[AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F] [TopologicalAddGroup F]
[ContinuousConstSMul 𝕜 F] :=
∀ n : ℕ, E[×n]→L[𝕜] F
#align formal_multilinear_series FormalMultilinearSeries
-- Porting note: was `deriving`
instance : AddCommGroup (FormalMultilinearSeries 𝕜 E F) :=
inferInstanceAs <| AddCommGroup <| ∀ n : ℕ, E[×n]→L[𝕜] F
instance : Inhabited (FormalMultilinearSeries 𝕜 E F) :=
⟨0⟩
section Module
instance (𝕜') [Semiring 𝕜'] [Module 𝕜' F] [ContinuousConstSMul 𝕜' F] [SMulCommClass 𝕜 𝕜' F] :
Module 𝕜' (FormalMultilinearSeries 𝕜 E F) :=
inferInstanceAs <| Module 𝕜' <| ∀ n : ℕ, E[×n]→L[𝕜] F
end Module
namespace FormalMultilinearSeries
@[simp] -- Porting note (#10756): new theorem; was not needed in Lean 3
theorem zero_apply (n : ℕ) : (0 : FormalMultilinearSeries 𝕜 E F) n = 0 := rfl
@[simp] -- Porting note (#10756): new theorem; was not needed in Lean 3
theorem neg_apply (f : FormalMultilinearSeries 𝕜 E F) (n : ℕ) : (-f) n = - f n := rfl
@[ext] -- Porting note (#10756): new theorem
protected theorem ext {p q : FormalMultilinearSeries 𝕜 E F} (h : ∀ n, p n = q n) : p = q :=
funext h
protected theorem ext_iff {p q : FormalMultilinearSeries 𝕜 E F} : p = q ↔ ∀ n, p n = q n :=
Function.funext_iff
#align formal_multilinear_series.ext_iff FormalMultilinearSeries.ext_iff
protected theorem ne_iff {p q : FormalMultilinearSeries 𝕜 E F} : p ≠ q ↔ ∃ n, p n ≠ q n :=
Function.ne_iff
#align formal_multilinear_series.ne_iff FormalMultilinearSeries.ne_iff
/-- Cartesian product of two formal multilinear series (with the same field `𝕜` and the same source
space, but possibly different target spaces). -/
def prod (p : FormalMultilinearSeries 𝕜 E F) (q : FormalMultilinearSeries 𝕜 E G) :
FormalMultilinearSeries 𝕜 E (F × G)
| n => (p n).prod (q n)
/-- Killing the zeroth coefficient in a formal multilinear series -/
def removeZero (p : FormalMultilinearSeries 𝕜 E F) : FormalMultilinearSeries 𝕜 E F
| 0 => 0
| n + 1 => p (n + 1)
#align formal_multilinear_series.remove_zero FormalMultilinearSeries.removeZero
@[simp]
theorem removeZero_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) : p.removeZero 0 = 0 :=
rfl
#align formal_multilinear_series.remove_zero_coeff_zero FormalMultilinearSeries.removeZero_coeff_zero
@[simp]
theorem removeZero_coeff_succ (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ) :
p.removeZero (n + 1) = p (n + 1) :=
rfl
#align formal_multilinear_series.remove_zero_coeff_succ FormalMultilinearSeries.removeZero_coeff_succ
theorem removeZero_of_pos (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (h : 0 < n) :
p.removeZero n = p n := by
rw [← Nat.succ_pred_eq_of_pos h]
rfl
#align formal_multilinear_series.remove_zero_of_pos FormalMultilinearSeries.removeZero_of_pos
/-- Convenience congruence lemma stating in a dependent setting that, if the arguments to a formal
multilinear series are equal, then the values are also equal. -/
theorem congr (p : FormalMultilinearSeries 𝕜 E F) {m n : ℕ} {v : Fin m → E} {w : Fin n → E}
(h1 : m = n) (h2 : ∀ (i : ℕ) (him : i < m) (hin : i < n), v ⟨i, him⟩ = w ⟨i, hin⟩) :
p m v = p n w := by
subst n
congr with ⟨i, hi⟩
exact h2 i hi hi
#align formal_multilinear_series.congr FormalMultilinearSeries.congr
/-- Composing each term `pₙ` in a formal multilinear series with `(u, ..., u)` where `u` is a fixed
continuous linear map, gives a new formal multilinear series `p.compContinuousLinearMap u`. -/
def compContinuousLinearMap (p : FormalMultilinearSeries 𝕜 F G) (u : E →L[𝕜] F) :
FormalMultilinearSeries 𝕜 E G := fun n => (p n).compContinuousLinearMap fun _ : Fin n => u
#align formal_multilinear_series.comp_continuous_linear_map FormalMultilinearSeries.compContinuousLinearMap
@[simp]
theorem compContinuousLinearMap_apply (p : FormalMultilinearSeries 𝕜 F G) (u : E →L[𝕜] F) (n : ℕ)
(v : Fin n → E) : (p.compContinuousLinearMap u) n v = p n (u ∘ v) :=
rfl
#align formal_multilinear_series.comp_continuous_linear_map_apply FormalMultilinearSeries.compContinuousLinearMap_apply
variable (𝕜) [Ring 𝕜'] [SMul 𝕜 𝕜']
variable [Module 𝕜' E] [ContinuousConstSMul 𝕜' E] [IsScalarTower 𝕜 𝕜' E]
variable [Module 𝕜' F] [ContinuousConstSMul 𝕜' F] [IsScalarTower 𝕜 𝕜' F]
/-- Reinterpret a formal `𝕜'`-multilinear series as a formal `𝕜`-multilinear series. -/
@[simp]
protected def restrictScalars (p : FormalMultilinearSeries 𝕜' E F) :
FormalMultilinearSeries 𝕜 E F := fun n => (p n).restrictScalars 𝕜
#align formal_multilinear_series.restrict_scalars FormalMultilinearSeries.restrictScalars
end FormalMultilinearSeries
end
namespace FormalMultilinearSeries
variable [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] [NormedAddCommGroup F]
[NormedSpace 𝕜 F] [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable (p : FormalMultilinearSeries 𝕜 E F)
/-- Forgetting the zeroth term in a formal multilinear series, and interpreting the following terms
as multilinear maps into `E →L[𝕜] F`. If `p` is the Taylor series (`HasFTaylorSeriesUpTo`) of a
function, then `p.shift` is the Taylor series of the derivative of the function. Note that the
`p.sum` of a Taylor series `p` does not give the original function; for a formal multilinear
series that sums to the derivative of `p.sum`, see `HasFPowerSeriesOnBall.fderiv`. -/
def shift : FormalMultilinearSeries 𝕜 E (E →L[𝕜] F) := fun n => (p n.succ).curryRight
#align formal_multilinear_series.shift FormalMultilinearSeries.shift
/-- Adding a zeroth term to a formal multilinear series taking values in `E →L[𝕜] F`. This
corresponds to starting from a Taylor series (`HasFTaylorSeriesUpTo`) for the derivative of a
function, and building a Taylor series for the function itself. -/
def unshift (q : FormalMultilinearSeries 𝕜 E (E →L[𝕜] F)) (z : F) : FormalMultilinearSeries 𝕜 E F
| 0 => (continuousMultilinearCurryFin0 𝕜 E F).symm z
| n + 1 => -- Porting note: added type hint here and explicit universes to fix compile
(continuousMultilinearCurryRightEquiv' 𝕜 n E F :
(E [×n]→L[𝕜] E →L[𝕜] F) → (E [×n.succ]→L[𝕜] F)) (q n)
#align formal_multilinear_series.unshift FormalMultilinearSeries.unshift
end FormalMultilinearSeries
section
variable [Ring 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E]
[ContinuousConstSMul 𝕜 E] [AddCommGroup F] [Module 𝕜 F] [TopologicalSpace F]
[TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F] [AddCommGroup G] [Module 𝕜 G]
[TopologicalSpace G] [TopologicalAddGroup G] [ContinuousConstSMul 𝕜 G]
namespace ContinuousLinearMap
/-- Composing each term `pₙ` in a formal multilinear series with a continuous linear map `f` on the
left gives a new formal multilinear series `f.compFormalMultilinearSeries p` whose general term
is `f ∘ pₙ`. -/
def compFormalMultilinearSeries (f : F →L[𝕜] G) (p : FormalMultilinearSeries 𝕜 E F) :
FormalMultilinearSeries 𝕜 E G := fun n => f.compContinuousMultilinearMap (p n)
#align continuous_linear_map.comp_formal_multilinear_series ContinuousLinearMap.compFormalMultilinearSeries
@[simp]
theorem compFormalMultilinearSeries_apply (f : F →L[𝕜] G) (p : FormalMultilinearSeries 𝕜 E F)
(n : ℕ) : (f.compFormalMultilinearSeries p) n = f.compContinuousMultilinearMap (p n) :=
rfl
#align continuous_linear_map.comp_formal_multilinear_series_apply ContinuousLinearMap.compFormalMultilinearSeries_apply
theorem compFormalMultilinearSeries_apply' (f : F →L[𝕜] G) (p : FormalMultilinearSeries 𝕜 E F)
(n : ℕ) (v : Fin n → E) : (f.compFormalMultilinearSeries p) n v = f (p n v) :=
rfl
#align continuous_linear_map.comp_formal_multilinear_series_apply' ContinuousLinearMap.compFormalMultilinearSeries_apply'
end ContinuousLinearMap
namespace ContinuousMultilinearMap
variable {ι : Type*} {E : ι → Type*} [∀ i, AddCommGroup (E i)] [∀ i, Module 𝕜 (E i)]
[∀ i, TopologicalSpace (E i)] [∀ i, TopologicalAddGroup (E i)]
[∀ i, ContinuousConstSMul 𝕜 (E i)] [Fintype ι] (f : ContinuousMultilinearMap 𝕜 E F)
/-- Realize a ContinuousMultilinearMap on `∀ i : ι, E i` as the evaluation of a
FormalMultilinearSeries by choosing an arbitrary identification `ι ≃ Fin (Fintype.card ι)`. -/
noncomputable def toFormalMultilinearSeries : FormalMultilinearSeries 𝕜 (∀ i, E i) F :=
fun n ↦ if h : Fintype.card ι = n then
(f.compContinuousLinearMap .proj).domDomCongr (Fintype.equivFinOfCardEq h)
else 0
end ContinuousMultilinearMap
end
namespace FormalMultilinearSeries
section Order
variable [Ring 𝕜] {n : ℕ} [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E]
[TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E] [AddCommGroup F] [Module 𝕜 F]
[TopologicalSpace F] [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F]
{p : FormalMultilinearSeries 𝕜 E F}
/-- The index of the first non-zero coefficient in `p` (or `0` if all coefficients are zero). This
is the order of the isolated zero of an analytic function `f` at a point if `p` is the Taylor
series of `f` at that point. -/
noncomputable def order (p : FormalMultilinearSeries 𝕜 E F) : ℕ :=
sInf { n | p n ≠ 0 }
#align formal_multilinear_series.order FormalMultilinearSeries.order
@[simp]
theorem order_zero : (0 : FormalMultilinearSeries 𝕜 E F).order = 0 := by simp [order]
#align formal_multilinear_series.order_zero FormalMultilinearSeries.order_zero
theorem ne_zero_of_order_ne_zero (hp : p.order ≠ 0) : p ≠ 0 := fun h => by simp [h] at hp
#align formal_multilinear_series.ne_zero_of_order_ne_zero FormalMultilinearSeries.ne_zero_of_order_ne_zero
theorem order_eq_find [DecidablePred fun n => p n ≠ 0] (hp : ∃ n, p n ≠ 0) :
p.order = Nat.find hp := by convert Nat.sInf_def hp
#align formal_multilinear_series.order_eq_find FormalMultilinearSeries.order_eq_find
theorem order_eq_find' [DecidablePred fun n => p n ≠ 0] (hp : p ≠ 0) :
p.order = Nat.find (FormalMultilinearSeries.ne_iff.mp hp) :=
order_eq_find _
#align formal_multilinear_series.order_eq_find' FormalMultilinearSeries.order_eq_find'
theorem order_eq_zero_iff' : p.order = 0 ↔ p = 0 ∨ p 0 ≠ 0 := by
simpa [order, Nat.sInf_eq_zero, FormalMultilinearSeries.ext_iff, eq_empty_iff_forall_not_mem]
using or_comm
#align formal_multilinear_series.order_eq_zero_iff' FormalMultilinearSeries.order_eq_zero_iff'
theorem order_eq_zero_iff (hp : p ≠ 0) : p.order = 0 ↔ p 0 ≠ 0 := by
simp [order_eq_zero_iff', hp]
#align formal_multilinear_series.order_eq_zero_iff FormalMultilinearSeries.order_eq_zero_iff
theorem apply_order_ne_zero (hp : p ≠ 0) : p p.order ≠ 0 :=
Nat.sInf_mem (FormalMultilinearSeries.ne_iff.1 hp)
#align formal_multilinear_series.apply_order_ne_zero FormalMultilinearSeries.apply_order_ne_zero
theorem apply_order_ne_zero' (hp : p.order ≠ 0) : p p.order ≠ 0 :=
apply_order_ne_zero (ne_zero_of_order_ne_zero hp)
#align formal_multilinear_series.apply_order_ne_zero' FormalMultilinearSeries.apply_order_ne_zero'
theorem apply_eq_zero_of_lt_order (hp : n < p.order) : p n = 0 :=
by_contra <| Nat.not_mem_of_lt_sInf hp
#align formal_multilinear_series.apply_eq_zero_of_lt_order FormalMultilinearSeries.apply_eq_zero_of_lt_order
end Order
section Coef
variable [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] {s : E}
{p : FormalMultilinearSeries 𝕜 𝕜 E} {f : 𝕜 → E} {n : ℕ} {z z₀ : 𝕜} {y : Fin n → 𝕜}
/-- The `n`th coefficient of `p` when seen as a power series. -/
def coeff (p : FormalMultilinearSeries 𝕜 𝕜 E) (n : ℕ) : E :=
p n 1
#align formal_multilinear_series.coeff FormalMultilinearSeries.coeff
theorem mkPiRing_coeff_eq (p : FormalMultilinearSeries 𝕜 𝕜 E) (n : ℕ) :
ContinuousMultilinearMap.mkPiRing 𝕜 (Fin n) (p.coeff n) = p n :=
(p n).mkPiRing_apply_one_eq_self
#align formal_multilinear_series.mk_pi_field_coeff_eq FormalMultilinearSeries.mkPiRing_coeff_eq
@[simp]
theorem apply_eq_prod_smul_coeff : p n y = (∏ i, y i) • p.coeff n := by
convert (p n).toMultilinearMap.map_smul_univ y 1
simp only [Pi.one_apply, Algebra.id.smul_eq_mul, mul_one]
#align formal_multilinear_series.apply_eq_prod_smul_coeff FormalMultilinearSeries.apply_eq_prod_smul_coeff
theorem coeff_eq_zero : p.coeff n = 0 ↔ p n = 0 := by
rw [← mkPiRing_coeff_eq p, ContinuousMultilinearMap.mkPiRing_eq_zero_iff]
#align formal_multilinear_series.coeff_eq_zero FormalMultilinearSeries.coeff_eq_zero
| Mathlib/Analysis/Calculus/FormalMultilinearSeries.lean | 306 | 306 | theorem apply_eq_pow_smul_coeff : (p n fun _ => z) = z ^ n • p.coeff n := by | simp
|
/-
Copyright (c) 2018 Louis Carlin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Louis Carlin, Mario Carneiro
-/
import Mathlib.Algebra.EuclideanDomain.Defs
import Mathlib.Algebra.Ring.Divisibility.Basic
import Mathlib.Algebra.Ring.Regular
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.Ring.Basic
#align_import algebra.euclidean_domain.basic from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6"
/-!
# Lemmas about Euclidean domains
## Main statements
* `gcd_eq_gcd_ab`: states Bézout's lemma for Euclidean domains.
-/
universe u
namespace EuclideanDomain
variable {R : Type u}
variable [EuclideanDomain R]
/-- The well founded relation in a Euclidean Domain satisfying `a % b ≺ b` for `b ≠ 0` -/
local infixl:50 " ≺ " => EuclideanDomain.R
-- See note [lower instance priority]
instance (priority := 100) toMulDivCancelClass : MulDivCancelClass R where
mul_div_cancel a b hb := by
refine (eq_of_sub_eq_zero ?_).symm
by_contra h
have := mul_right_not_lt b h
rw [sub_mul, mul_comm (_ / _), sub_eq_iff_eq_add'.2 (div_add_mod (a * b) b).symm] at this
exact this (mod_lt _ hb)
#align euclidean_domain.mul_div_cancel_left mul_div_cancel_left₀
#align euclidean_domain.mul_div_cancel mul_div_cancel_right₀
@[simp]
theorem mod_eq_zero {a b : R} : a % b = 0 ↔ b ∣ a :=
⟨fun h => by
rw [← div_add_mod a b, h, add_zero]
exact dvd_mul_right _ _, fun ⟨c, e⟩ => by
rw [e, ← add_left_cancel_iff, div_add_mod, add_zero]
haveI := Classical.dec
by_cases b0 : b = 0
· simp only [b0, zero_mul]
· rw [mul_div_cancel_left₀ _ b0]⟩
#align euclidean_domain.mod_eq_zero EuclideanDomain.mod_eq_zero
@[simp]
theorem mod_self (a : R) : a % a = 0 :=
mod_eq_zero.2 dvd_rfl
#align euclidean_domain.mod_self EuclideanDomain.mod_self
theorem dvd_mod_iff {a b c : R} (h : c ∣ b) : c ∣ a % b ↔ c ∣ a := by
rw [← dvd_add_right (h.mul_right _), div_add_mod]
#align euclidean_domain.dvd_mod_iff EuclideanDomain.dvd_mod_iff
@[simp]
theorem mod_one (a : R) : a % 1 = 0 :=
mod_eq_zero.2 (one_dvd _)
#align euclidean_domain.mod_one EuclideanDomain.mod_one
@[simp]
theorem zero_mod (b : R) : 0 % b = 0 :=
mod_eq_zero.2 (dvd_zero _)
#align euclidean_domain.zero_mod EuclideanDomain.zero_mod
@[simp]
theorem zero_div {a : R} : 0 / a = 0 :=
by_cases (fun a0 : a = 0 => a0.symm ▸ div_zero 0) fun a0 => by
simpa only [zero_mul] using mul_div_cancel_right₀ 0 a0
#align euclidean_domain.zero_div EuclideanDomain.zero_div
@[simp]
theorem div_self {a : R} (a0 : a ≠ 0) : a / a = 1 := by
simpa only [one_mul] using mul_div_cancel_right₀ 1 a0
#align euclidean_domain.div_self EuclideanDomain.div_self
theorem eq_div_of_mul_eq_left {a b c : R} (hb : b ≠ 0) (h : a * b = c) : a = c / b := by
rw [← h, mul_div_cancel_right₀ _ hb]
#align euclidean_domain.eq_div_of_mul_eq_left EuclideanDomain.eq_div_of_mul_eq_left
theorem eq_div_of_mul_eq_right {a b c : R} (ha : a ≠ 0) (h : a * b = c) : b = c / a := by
rw [← h, mul_div_cancel_left₀ _ ha]
#align euclidean_domain.eq_div_of_mul_eq_right EuclideanDomain.eq_div_of_mul_eq_right
theorem mul_div_assoc (x : R) {y z : R} (h : z ∣ y) : x * y / z = x * (y / z) := by
by_cases hz : z = 0
· subst hz
rw [div_zero, div_zero, mul_zero]
rcases h with ⟨p, rfl⟩
rw [mul_div_cancel_left₀ _ hz, mul_left_comm, mul_div_cancel_left₀ _ hz]
#align euclidean_domain.mul_div_assoc EuclideanDomain.mul_div_assoc
protected theorem mul_div_cancel' {a b : R} (hb : b ≠ 0) (hab : b ∣ a) : b * (a / b) = a := by
rw [← mul_div_assoc _ hab, mul_div_cancel_left₀ _ hb]
#align euclidean_domain.mul_div_cancel' EuclideanDomain.mul_div_cancel'
-- This generalizes `Int.div_one`, see note [simp-normal form]
@[simp]
theorem div_one (p : R) : p / 1 = p :=
(EuclideanDomain.eq_div_of_mul_eq_left (one_ne_zero' R) (mul_one p)).symm
#align euclidean_domain.div_one EuclideanDomain.div_one
theorem div_dvd_of_dvd {p q : R} (hpq : q ∣ p) : p / q ∣ p := by
by_cases hq : q = 0
· rw [hq, zero_dvd_iff] at hpq
rw [hpq]
exact dvd_zero _
use q
rw [mul_comm, ← EuclideanDomain.mul_div_assoc _ hpq, mul_comm, mul_div_cancel_right₀ _ hq]
#align euclidean_domain.div_dvd_of_dvd EuclideanDomain.div_dvd_of_dvd
| Mathlib/Algebra/EuclideanDomain/Basic.lean | 123 | 128 | theorem dvd_div_of_mul_dvd {a b c : R} (h : a * b ∣ c) : b ∣ c / a := by |
rcases eq_or_ne a 0 with (rfl | ha)
· simp only [div_zero, dvd_zero]
rcases h with ⟨d, rfl⟩
refine ⟨d, ?_⟩
rw [mul_assoc, mul_div_cancel_left₀ _ ha]
|
/-
Copyright (c) 2022 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.Analysis.Convolution
import Mathlib.Analysis.Calculus.BumpFunction.Normed
import Mathlib.MeasureTheory.Integral.Average
import Mathlib.MeasureTheory.Covering.Differentiation
import Mathlib.MeasureTheory.Covering.BesicovitchVectorSpace
import Mathlib.MeasureTheory.Measure.Haar.Unique
#align_import analysis.convolution from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95"
/-!
# Convolution with a bump function
In this file we prove lemmas about convolutions `(φ.normed μ ⋆[lsmul ℝ ℝ, μ] g) x₀`,
where `φ : ContDiffBump 0` is a smooth bump function.
We prove that this convolution is equal to `g x₀`
if `g` is a constant on `Metric.ball x₀ φ.rOut`.
We also provide estimates in the case if `g x` is close to `g x₀` on this ball.
## Main results
- `ContDiffBump.convolution_tendsto_right_of_continuous`:
Let `g` be a continuous function; let `φ i` be a family of `ContDiffBump 0` functions with.
If `(φ i).rOut` tends to zero along a filter `l`,
then `((φ i).normed μ ⋆[lsmul ℝ ℝ, μ] g) x₀` tends to `g x₀` along the same filter.
- `ContDiffBump.convolution_tendsto_right`: generalization of the above lemma.
- `ContDiffBump.ae_convolution_tendsto_right_of_locallyIntegrable`: let `g` be a locally
integrable function. Then the convolution of `g` with a family of bump functions with
support tending to `0` converges almost everywhere to `g`.
## Keywords
convolution, smooth function, bump function
-/
universe uG uE'
open ContinuousLinearMap Metric MeasureTheory Filter Function Measure Set
open scoped Convolution Topology
namespace ContDiffBump
variable {G : Type uG} {E' : Type uE'} [NormedAddCommGroup E'] {g : G → E'} [MeasurableSpace G]
{μ : MeasureTheory.Measure G} [NormedSpace ℝ E'] [NormedAddCommGroup G] [NormedSpace ℝ G]
[HasContDiffBump G] [CompleteSpace E'] {φ : ContDiffBump (0 : G)} {x₀ : G}
/-- If `φ` is a bump function, compute `(φ ⋆ g) x₀`
if `g` is constant on `Metric.ball x₀ φ.rOut`. -/
theorem convolution_eq_right {x₀ : G} (hg : ∀ x ∈ ball x₀ φ.rOut, g x = g x₀) :
(φ ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀ = integral μ φ • g x₀ := by
simp_rw [convolution_eq_right' _ φ.support_eq.subset hg, lsmul_apply, integral_smul_const]
#align cont_diff_bump.convolution_eq_right ContDiffBump.convolution_eq_right
variable [BorelSpace G]
variable [IsLocallyFiniteMeasure μ] [μ.IsOpenPosMeasure]
variable [FiniteDimensional ℝ G]
/-- If `φ` is a normed bump function, compute `φ ⋆ g`
if `g` is constant on `Metric.ball x₀ φ.rOut`. -/
| Mathlib/Analysis/Calculus/BumpFunction/Convolution.lean | 65 | 68 | theorem normed_convolution_eq_right {x₀ : G} (hg : ∀ x ∈ ball x₀ φ.rOut, g x = g x₀) :
(φ.normed μ ⋆[lsmul ℝ ℝ, μ] g : G → E') x₀ = g x₀ := by |
rw [convolution_eq_right' _ φ.support_normed_eq.subset hg]
exact integral_normed_smul φ μ (g x₀)
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yourong Zang
-/
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Linear
import Mathlib.Analysis.Complex.Conformal
import Mathlib.Analysis.Calculus.Conformal.NormedSpace
#align_import analysis.complex.real_deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
/-! # Real differentiability of complex-differentiable functions
`HasDerivAt.real_of_complex` expresses that, if a function on `ℂ` is differentiable (over `ℂ`),
then its restriction to `ℝ` is differentiable over `ℝ`, with derivative the real part of the
complex derivative.
`DifferentiableAt.conformalAt` states that a real-differentiable function with a nonvanishing
differential from the complex plane into an arbitrary complex-normed space is conformal at a point
if it's holomorphic at that point. This is a version of Cauchy-Riemann equations.
`conformalAt_iff_differentiableAt_or_differentiableAt_comp_conj` proves that a real-differential
function with a nonvanishing differential between the complex plane is conformal at a point if and
only if it's holomorphic or antiholomorphic at that point.
## TODO
* The classical form of Cauchy-Riemann equations
* On a connected open set `u`, a function which is `ConformalAt` each point is either holomorphic
throughout or antiholomorphic throughout.
## Warning
We do NOT require conformal functions to be orientation-preserving in this file.
-/
section RealDerivOfComplex
/-! ### Differentiability of the restriction to `ℝ` of complex functions -/
open Complex
variable {e : ℂ → ℂ} {e' : ℂ} {z : ℝ}
/-- If a complex function is differentiable at a real point, then the induced real function is also
differentiable at this point, with a derivative equal to the real part of the complex derivative. -/
theorem HasStrictDerivAt.real_of_complex (h : HasStrictDerivAt e e' z) :
HasStrictDerivAt (fun x : ℝ => (e x).re) e'.re z := by
have A : HasStrictFDerivAt ((↑) : ℝ → ℂ) ofRealCLM z := ofRealCLM.hasStrictFDerivAt
have B :
HasStrictFDerivAt e ((ContinuousLinearMap.smulRight 1 e' : ℂ →L[ℂ] ℂ).restrictScalars ℝ)
(ofRealCLM z) :=
h.hasStrictFDerivAt.restrictScalars ℝ
have C : HasStrictFDerivAt re reCLM (e (ofRealCLM z)) := reCLM.hasStrictFDerivAt
-- Porting note: this should be by:
-- simpa using (C.comp z (B.comp z A)).hasStrictDerivAt
-- but for some reason simp can not use `ContinuousLinearMap.comp_apply`
convert (C.comp z (B.comp z A)).hasStrictDerivAt
rw [ContinuousLinearMap.comp_apply, ContinuousLinearMap.comp_apply]
simp
#align has_strict_deriv_at.real_of_complex HasStrictDerivAt.real_of_complex
/-- If a complex function `e` is differentiable at a real point, then the function `ℝ → ℝ` given by
the real part of `e` is also differentiable at this point, with a derivative equal to the real part
of the complex derivative. -/
theorem HasDerivAt.real_of_complex (h : HasDerivAt e e' z) :
HasDerivAt (fun x : ℝ => (e x).re) e'.re z := by
have A : HasFDerivAt ((↑) : ℝ → ℂ) ofRealCLM z := ofRealCLM.hasFDerivAt
have B :
HasFDerivAt e ((ContinuousLinearMap.smulRight 1 e' : ℂ →L[ℂ] ℂ).restrictScalars ℝ)
(ofRealCLM z) :=
h.hasFDerivAt.restrictScalars ℝ
have C : HasFDerivAt re reCLM (e (ofRealCLM z)) := reCLM.hasFDerivAt
-- Porting note: this should be by:
-- simpa using (C.comp z (B.comp z A)).hasStrictDerivAt
-- but for some reason simp can not use `ContinuousLinearMap.comp_apply`
convert (C.comp z (B.comp z A)).hasDerivAt
rw [ContinuousLinearMap.comp_apply, ContinuousLinearMap.comp_apply]
simp
#align has_deriv_at.real_of_complex HasDerivAt.real_of_complex
theorem ContDiffAt.real_of_complex {n : ℕ∞} (h : ContDiffAt ℂ n e z) :
ContDiffAt ℝ n (fun x : ℝ => (e x).re) z := by
have A : ContDiffAt ℝ n ((↑) : ℝ → ℂ) z := ofRealCLM.contDiff.contDiffAt
have B : ContDiffAt ℝ n e z := h.restrict_scalars ℝ
have C : ContDiffAt ℝ n re (e z) := reCLM.contDiff.contDiffAt
exact C.comp z (B.comp z A)
#align cont_diff_at.real_of_complex ContDiffAt.real_of_complex
theorem ContDiff.real_of_complex {n : ℕ∞} (h : ContDiff ℂ n e) :
ContDiff ℝ n fun x : ℝ => (e x).re :=
contDiff_iff_contDiffAt.2 fun _ => h.contDiffAt.real_of_complex
#align cont_diff.real_of_complex ContDiff.real_of_complex
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E]
theorem HasStrictDerivAt.complexToReal_fderiv' {f : ℂ → E} {x : ℂ} {f' : E}
(h : HasStrictDerivAt f f' x) :
HasStrictFDerivAt f (reCLM.smulRight f' + I • imCLM.smulRight f') x := by
simpa only [Complex.restrictScalars_one_smulRight'] using
h.hasStrictFDerivAt.restrictScalars ℝ
#align has_strict_deriv_at.complex_to_real_fderiv' HasStrictDerivAt.complexToReal_fderiv'
| Mathlib/Analysis/Complex/RealDeriv.lean | 106 | 108 | theorem HasDerivAt.complexToReal_fderiv' {f : ℂ → E} {x : ℂ} {f' : E} (h : HasDerivAt f f' x) :
HasFDerivAt f (reCLM.smulRight f' + I • imCLM.smulRight f') x := by |
simpa only [Complex.restrictScalars_one_smulRight'] using h.hasFDerivAt.restrictScalars ℝ
|
/-
Copyright (c) 2022 Junyan Xu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Junyan Xu
-/
import Mathlib.Data.Finsupp.Lex
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Order.GameAdd
#align_import logic.hydra from "leanprover-community/mathlib"@"48085f140e684306f9e7da907cd5932056d1aded"
/-!
# Termination of a hydra game
This file deals with the following version of the hydra game: each head of the hydra is
labelled by an element in a type `α`, and when you cut off one head with label `a`, it
grows back an arbitrary but finite number of heads, all labelled by elements smaller than
`a` with respect to a well-founded relation `r` on `α`. We show that no matter how (in
what order) you choose cut off the heads, the game always terminates, i.e. all heads will
eventually be cut off (but of course it can last arbitrarily long, i.e. takes an
arbitrary finite number of steps).
This result is stated as the well-foundedness of the `CutExpand` relation defined in
this file: we model the heads of the hydra as a multiset of elements of `α`, and the
valid "moves" of the game are modelled by the relation `CutExpand r` on `Multiset α`:
`CutExpand r s' s` is true iff `s'` is obtained by removing one head `a ∈ s` and
adding back an arbitrary multiset `t` of heads such that all `a' ∈ t` satisfy `r a' a`.
We follow the proof by Peter LeFanu Lumsdaine at https://mathoverflow.net/a/229084/3332.
TODO: formalize the relations corresponding to more powerful (e.g. Kirby–Paris and Buchholz)
hydras, and prove their well-foundedness.
-/
namespace Relation
open Multiset Prod
variable {α : Type*}
/-- The relation that specifies valid moves in our hydra game. `CutExpand r s' s`
means that `s'` is obtained by removing one head `a ∈ s` and adding back an arbitrary
multiset `t` of heads such that all `a' ∈ t` satisfy `r a' a`.
This is most directly translated into `s' = s.erase a + t`, but `Multiset.erase` requires
`DecidableEq α`, so we use the equivalent condition `s' + {a} = s + t` instead, which
is also easier to verify for explicit multisets `s'`, `s` and `t`.
We also don't include the condition `a ∈ s` because `s' + {a} = s + t` already
guarantees `a ∈ s + t`, and if `r` is irreflexive then `a ∉ t`, which is the
case when `r` is well-founded, the case we are primarily interested in.
The lemma `Relation.cutExpand_iff` below converts between this convenient definition
and the direct translation when `r` is irreflexive. -/
def CutExpand (r : α → α → Prop) (s' s : Multiset α) : Prop :=
∃ (t : Multiset α) (a : α), (∀ a' ∈ t, r a' a) ∧ s' + {a} = s + t
#align relation.cut_expand Relation.CutExpand
variable {r : α → α → Prop}
theorem cutExpand_le_invImage_lex [DecidableEq α] [IsIrrefl α r] :
CutExpand r ≤ InvImage (Finsupp.Lex (rᶜ ⊓ (· ≠ ·)) (· < ·)) toFinsupp := by
rintro s t ⟨u, a, hr, he⟩
replace hr := fun a' ↦ mt (hr a')
classical
refine ⟨a, fun b h ↦ ?_, ?_⟩ <;> simp_rw [toFinsupp_apply]
· apply_fun count b at he
simpa only [count_add, count_singleton, if_neg h.2, add_zero, count_eq_zero.2 (hr b h.1)]
using he
· apply_fun count a at he
simp only [count_add, count_singleton_self, count_eq_zero.2 (hr _ (irrefl_of r a)),
add_zero] at he
exact he ▸ Nat.lt_succ_self _
#align relation.cut_expand_le_inv_image_lex Relation.cutExpand_le_invImage_lex
theorem cutExpand_singleton {s x} (h : ∀ x' ∈ s, r x' x) : CutExpand r s {x} :=
⟨s, x, h, add_comm s _⟩
#align relation.cut_expand_singleton Relation.cutExpand_singleton
theorem cutExpand_singleton_singleton {x' x} (h : r x' x) : CutExpand r {x'} {x} :=
cutExpand_singleton fun a h ↦ by rwa [mem_singleton.1 h]
#align relation.cut_expand_singleton_singleton Relation.cutExpand_singleton_singleton
theorem cutExpand_add_left {t u} (s) : CutExpand r (s + t) (s + u) ↔ CutExpand r t u :=
exists₂_congr fun _ _ ↦ and_congr Iff.rfl <| by rw [add_assoc, add_assoc, add_left_cancel_iff]
#align relation.cut_expand_add_left Relation.cutExpand_add_left
theorem cutExpand_iff [DecidableEq α] [IsIrrefl α r] {s' s : Multiset α} :
CutExpand r s' s ↔
∃ (t : Multiset α) (a : α), (∀ a' ∈ t, r a' a) ∧ a ∈ s ∧ s' = s.erase a + t := by
simp_rw [CutExpand, add_singleton_eq_iff]
refine exists₂_congr fun t a ↦ ⟨?_, ?_⟩
· rintro ⟨ht, ha, rfl⟩
obtain h | h := mem_add.1 ha
exacts [⟨ht, h, erase_add_left_pos t h⟩, (@irrefl α r _ a (ht a h)).elim]
· rintro ⟨ht, h, rfl⟩
exact ⟨ht, mem_add.2 (Or.inl h), (erase_add_left_pos t h).symm⟩
#align relation.cut_expand_iff Relation.cutExpand_iff
theorem not_cutExpand_zero [IsIrrefl α r] (s) : ¬CutExpand r s 0 := by
classical
rw [cutExpand_iff]
rintro ⟨_, _, _, ⟨⟩, _⟩
#align relation.not_cut_expand_zero Relation.not_cutExpand_zero
/-- For any relation `r` on `α`, multiset addition `Multiset α × Multiset α → Multiset α` is a
fibration between the game sum of `CutExpand r` with itself and `CutExpand r` itself. -/
theorem cutExpand_fibration (r : α → α → Prop) :
Fibration (GameAdd (CutExpand r) (CutExpand r)) (CutExpand r) fun s ↦ s.1 + s.2 := by
rintro ⟨s₁, s₂⟩ s ⟨t, a, hr, he⟩; dsimp at he ⊢
classical
obtain ⟨ha, rfl⟩ := add_singleton_eq_iff.1 he
rw [add_assoc, mem_add] at ha
obtain h | h := ha
· refine ⟨(s₁.erase a + t, s₂), GameAdd.fst ⟨t, a, hr, ?_⟩, ?_⟩
· rw [add_comm, ← add_assoc, singleton_add, cons_erase h]
· rw [add_assoc s₁, erase_add_left_pos _ h, add_right_comm, add_assoc]
· refine ⟨(s₁, (s₂ + t).erase a), GameAdd.snd ⟨t, a, hr, ?_⟩, ?_⟩
· rw [add_comm, singleton_add, cons_erase h]
· rw [add_assoc, erase_add_right_pos _ h]
#align relation.cut_expand_fibration Relation.cutExpand_fibration
/-- A multiset is accessible under `CutExpand` if all its singleton subsets are,
assuming `r` is irreflexive. -/
theorem acc_of_singleton [IsIrrefl α r] {s : Multiset α} (hs : ∀ a ∈ s, Acc (CutExpand r) {a}) :
Acc (CutExpand r) s := by
induction s using Multiset.induction with
| empty => exact Acc.intro 0 fun s h ↦ (not_cutExpand_zero s h).elim
| cons a s ihs =>
rw [← s.singleton_add a]
rw [forall_mem_cons] at hs
exact (hs.1.prod_gameAdd <| ihs fun a ha ↦ hs.2 a ha).of_fibration _ (cutExpand_fibration r)
#align relation.acc_of_singleton Relation.acc_of_singleton
/-- A singleton `{a}` is accessible under `CutExpand r` if `a` is accessible under `r`,
assuming `r` is irreflexive. -/
| Mathlib/Logic/Hydra.lean | 138 | 146 | theorem _root_.Acc.cutExpand [IsIrrefl α r] {a : α} (hacc : Acc r a) : Acc (CutExpand r) {a} := by |
induction' hacc with a h ih
refine Acc.intro _ fun s ↦ ?_
classical
simp only [cutExpand_iff, mem_singleton]
rintro ⟨t, a, hr, rfl, rfl⟩
refine acc_of_singleton fun a' ↦ ?_
rw [erase_singleton, zero_add]
exact ih a' ∘ hr a'
|
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.Probability.Independence.Basic
import Mathlib.Probability.Independence.Conditional
#align_import probability.independence.zero_one from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740"
/-!
# Kolmogorov's 0-1 law
Let `s : ι → MeasurableSpace Ω` be an independent sequence of sub-σ-algebras. Then any set which
is measurable with respect to the tail σ-algebra `limsup s atTop` has probability 0 or 1.
## Main statements
* `measure_zero_or_one_of_measurableSet_limsup_atTop`: Kolmogorov's 0-1 law. Any set which is
measurable with respect to the tail σ-algebra `limsup s atTop` of an independent sequence of
σ-algebras `s` has probability 0 or 1.
-/
open MeasureTheory MeasurableSpace
open scoped MeasureTheory ENNReal
namespace ProbabilityTheory
variable {α Ω ι : Type*} {_mα : MeasurableSpace α} {s : ι → MeasurableSpace Ω}
{m m0 : MeasurableSpace Ω} {κ : kernel α Ω} {μα : Measure α} {μ : Measure Ω}
theorem kernel.measure_eq_zero_or_one_or_top_of_indepSet_self {t : Set Ω}
(h_indep : kernel.IndepSet t t κ μα) :
∀ᵐ a ∂μα, κ a t = 0 ∨ κ a t = 1 ∨ κ a t = ∞ := by
specialize h_indep t t (measurableSet_generateFrom (Set.mem_singleton t))
(measurableSet_generateFrom (Set.mem_singleton t))
filter_upwards [h_indep] with a ha
by_cases h0 : κ a t = 0
· exact Or.inl h0
by_cases h_top : κ a t = ∞
· exact Or.inr (Or.inr h_top)
rw [← one_mul (κ a (t ∩ t)), Set.inter_self, ENNReal.mul_eq_mul_right h0 h_top] at ha
exact Or.inr (Or.inl ha.symm)
| Mathlib/Probability/Independence/ZeroOne.lean | 46 | 49 | theorem measure_eq_zero_or_one_or_top_of_indepSet_self {t : Set Ω}
(h_indep : IndepSet t t μ) : μ t = 0 ∨ μ t = 1 ∨ μ t = ∞ := by |
simpa only [ae_dirac_eq, Filter.eventually_pure]
using kernel.measure_eq_zero_or_one_or_top_of_indepSet_self h_indep
|
/-
Copyright (c) 2021 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.AlgebraicGeometry.AffineScheme
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.Topology.Sheaves.SheafCondition.Sites
import Mathlib.Algebra.Category.Ring.Constructions
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.properties from "leanprover-community/mathlib"@"88474d1b5af6d37c2ab728b757771bced7f5194c"
/-!
# Basic properties of schemes
We provide some basic properties of schemes
## Main definition
* `AlgebraicGeometry.IsIntegral`: A scheme is integral if it is nontrivial and all nontrivial
components of the structure sheaf are integral domains.
* `AlgebraicGeometry.IsReduced`: A scheme is reduced if all the components of the structure sheaf
are reduced.
-/
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open TopologicalSpace Opposite CategoryTheory CategoryTheory.Limits TopCat
namespace AlgebraicGeometry
variable (X : Scheme)
instance : T0Space X.carrier := by
refine T0Space.of_open_cover fun x => ?_
obtain ⟨U, R, ⟨e⟩⟩ := X.local_affine x
let e' : U.1 ≃ₜ PrimeSpectrum R :=
homeoOfIso ((LocallyRingedSpace.forgetToSheafedSpace ⋙ SheafedSpace.forget _).mapIso e)
exact ⟨U.1.1, U.2, U.1.2, e'.embedding.t0Space⟩
instance : QuasiSober X.carrier := by
apply (config := { allowSynthFailures := true })
quasiSober_of_open_cover (Set.range fun x => Set.range <| (X.affineCover.map x).1.base)
· rintro ⟨_, i, rfl⟩; exact (X.affineCover.IsOpen i).base_open.isOpen_range
· rintro ⟨_, i, rfl⟩
exact @OpenEmbedding.quasiSober _ _ _ _ _ (Homeomorph.ofEmbedding _
(X.affineCover.IsOpen i).base_open.toEmbedding).symm.openEmbedding PrimeSpectrum.quasiSober
· rw [Set.top_eq_univ, Set.sUnion_range, Set.eq_univ_iff_forall]
intro x; exact ⟨_, ⟨_, rfl⟩, X.affineCover.Covers x⟩
/-- A scheme `X` is reduced if all `𝒪ₓ(U)` are reduced. -/
class IsReduced : Prop where
component_reduced : ∀ U, IsReduced (X.presheaf.obj (op U)) := by infer_instance
#align algebraic_geometry.is_reduced AlgebraicGeometry.IsReduced
attribute [instance] IsReduced.component_reduced
theorem isReducedOfStalkIsReduced [∀ x : X.carrier, _root_.IsReduced (X.presheaf.stalk x)] :
IsReduced X := by
refine ⟨fun U => ⟨fun s hs => ?_⟩⟩
apply Presheaf.section_ext X.sheaf U s 0
intro x
rw [RingHom.map_zero]
change X.presheaf.germ x s = 0
exact (hs.map _).eq_zero
#align algebraic_geometry.is_reduced_of_stalk_is_reduced AlgebraicGeometry.isReducedOfStalkIsReduced
instance stalk_isReduced_of_reduced [IsReduced X] (x : X.carrier) :
_root_.IsReduced (X.presheaf.stalk x) := by
constructor
rintro g ⟨n, e⟩
obtain ⟨U, hxU, s, rfl⟩ := X.presheaf.germ_exist x g
rw [← map_pow, ← map_zero (X.presheaf.germ ⟨x, hxU⟩)] at e
obtain ⟨V, hxV, iU, iV, e'⟩ := X.presheaf.germ_eq x hxU hxU _ 0 e
rw [map_pow, map_zero] at e'
replace e' := (IsNilpotent.mk _ _ e').eq_zero (R := X.presheaf.obj <| op V)
erw [← ConcreteCategory.congr_hom (X.presheaf.germ_res iU ⟨x, hxV⟩) s]
rw [comp_apply, e', map_zero]
#align algebraic_geometry.stalk_is_reduced_of_reduced AlgebraicGeometry.stalk_isReduced_of_reduced
theorem isReducedOfOpenImmersion {X Y : Scheme} (f : X ⟶ Y) [H : IsOpenImmersion f]
[IsReduced Y] : IsReduced X := by
constructor
intro U
have : U = (Opens.map f.1.base).obj (H.base_open.isOpenMap.functor.obj U) := by
ext1; exact (Set.preimage_image_eq _ H.base_open.inj).symm
rw [this]
exact isReduced_of_injective (inv <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U))
(asIso <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U) :
Y.presheaf.obj _ ≅ _).symm.commRingCatIsoToRingEquiv.injective
#align algebraic_geometry.is_reduced_of_open_immersion AlgebraicGeometry.isReducedOfOpenImmersion
instance {R : CommRingCat.{u}} [H : _root_.IsReduced R] : IsReduced (Scheme.Spec.obj <| op R) := by
apply (config := { allowSynthFailures := true }) isReducedOfStalkIsReduced
intro x; dsimp
have : _root_.IsReduced (CommRingCat.of <| Localization.AtPrime (PrimeSpectrum.asIdeal x)) := by
dsimp; infer_instance
rw [show (Scheme.Spec.obj <| op R).presheaf = (Spec.structureSheaf R).presheaf from rfl]
exact isReduced_of_injective (StructureSheaf.stalkIso R x).hom
(StructureSheaf.stalkIso R x).commRingCatIsoToRingEquiv.injective
theorem affine_isReduced_iff (R : CommRingCat) :
IsReduced (Scheme.Spec.obj <| op R) ↔ _root_.IsReduced R := by
refine ⟨?_, fun h => inferInstance⟩
intro h
have : _root_.IsReduced
(LocallyRingedSpace.Γ.obj (op <| Spec.toLocallyRingedSpace.obj <| op R)) := by
change _root_.IsReduced ((Scheme.Spec.obj <| op R).presheaf.obj <| op ⊤); infer_instance
exact isReduced_of_injective (toSpecΓ R) (asIso <| toSpecΓ R).commRingCatIsoToRingEquiv.injective
#align algebraic_geometry.affine_is_reduced_iff AlgebraicGeometry.affine_isReduced_iff
theorem isReducedOfIsAffineIsReduced [IsAffine X] [h : _root_.IsReduced (X.presheaf.obj (op ⊤))] :
IsReduced X :=
haveI : IsReduced (Scheme.Spec.obj (op (Scheme.Γ.obj (op X)))) := by
rw [affine_isReduced_iff]; exact h
isReducedOfOpenImmersion X.isoSpec.hom
#align algebraic_geometry.is_reduced_of_is_affine_is_reduced AlgebraicGeometry.isReducedOfIsAffineIsReduced
/-- To show that a statement `P` holds for all open subsets of all schemes, it suffices to show that
1. In any scheme `X`, if `P` holds for an open cover of `U`, then `P` holds for `U`.
2. For an open immerison `f : X ⟶ Y`, if `P` holds for the entire space of `X`, then `P` holds for
the image of `f`.
3. `P` holds for the entire space of an affine scheme.
-/
theorem reduce_to_affine_global (P : ∀ (X : Scheme) (_ : Opens X.carrier), Prop)
(h₁ : ∀ (X : Scheme) (U : Opens X.carrier),
(∀ x : U, ∃ (V : _) (_ : x.1 ∈ V) (_ : V ⟶ U), P X V) → P X U)
(h₂ : ∀ {X Y} (f : X ⟶ Y) [hf : IsOpenImmersion f],
∃ (U : Set X.carrier) (V : Set Y.carrier) (hU : U = ⊤) (hV : V = Set.range f.1.base),
P X ⟨U, hU.symm ▸ isOpen_univ⟩ → P Y ⟨V, hV.symm ▸ hf.base_open.isOpen_range⟩)
(h₃ : ∀ R : CommRingCat, P (Scheme.Spec.obj <| op R) ⊤) :
∀ (X : Scheme) (U : Opens X.carrier), P X U := by
intro X U
apply h₁
intro x
obtain ⟨_, ⟨j, rfl⟩, hx, i⟩ :=
X.affineBasisCover_is_basis.exists_subset_of_mem_open (SetLike.mem_coe.2 x.prop) U.isOpen
let U' : Opens _ := ⟨_, (X.affineBasisCover.IsOpen j).base_open.isOpen_range⟩
let i' : U' ⟶ U := homOfLE i
refine ⟨U', hx, i', ?_⟩
obtain ⟨_, _, rfl, rfl, h₂'⟩ := h₂ (X.affineBasisCover.map j)
apply h₂'
apply h₃
#align algebraic_geometry.reduce_to_affine_global AlgebraicGeometry.reduce_to_affine_global
theorem reduce_to_affine_nbhd (P : ∀ (X : Scheme) (_ : X.carrier), Prop)
(h₁ : ∀ (R : CommRingCat) (x : PrimeSpectrum R), P (Scheme.Spec.obj <| op R) x)
(h₂ : ∀ {X Y} (f : X ⟶ Y) [IsOpenImmersion f] (x : X.carrier), P X x → P Y (f.1.base x)) :
∀ (X : Scheme) (x : X.carrier), P X x := by
intro X x
obtain ⟨y, e⟩ := X.affineCover.Covers x
convert h₂ (X.affineCover.map (X.affineCover.f x)) y _
· rw [e]
apply h₁
#align algebraic_geometry.reduce_to_affine_nbhd AlgebraicGeometry.reduce_to_affine_nbhd
theorem eq_zero_of_basicOpen_eq_bot {X : Scheme} [hX : IsReduced X] {U : Opens X.carrier}
(s : X.presheaf.obj (op U)) (hs : X.basicOpen s = ⊥) : s = 0 := by
apply TopCat.Presheaf.section_ext X.sheaf U
conv => intro x; rw [RingHom.map_zero]
refine (@reduce_to_affine_global (fun X U =>
∀ [IsReduced X] (s : X.presheaf.obj (op U)),
X.basicOpen s = ⊥ → ∀ x, (X.sheaf.presheaf.germ x) s = 0) ?_ ?_ ?_) X U s hs
· intro X U hx hX s hs x
obtain ⟨V, hx, i, H⟩ := hx x
specialize H (X.presheaf.map i.op s)
erw [Scheme.basicOpen_res] at H
rw [hs] at H
specialize H (inf_bot_eq _) ⟨x, hx⟩
erw [TopCat.Presheaf.germ_res_apply] at H
exact H
· rintro X Y f hf
have e : f.val.base ⁻¹' Set.range ↑f.val.base = Set.univ := by
rw [← Set.image_univ, Set.preimage_image_eq _ hf.base_open.inj]
refine ⟨_, _, e, rfl, ?_⟩
rintro H hX s hs ⟨_, x, rfl⟩
haveI := isReducedOfOpenImmersion f
specialize H (f.1.c.app _ s) _ ⟨x, by rw [Opens.mem_mk, e]; trivial⟩
· rw [← Scheme.preimage_basicOpen, hs]; ext1; simp [Opens.map]
· erw [← PresheafedSpace.stalkMap_germ_apply f.1 ⟨_, _⟩ ⟨x, _⟩] at H
apply_fun inv <| PresheafedSpace.stalkMap f.val x at H
erw [CategoryTheory.IsIso.hom_inv_id_apply, map_zero] at H
exact H
· intro R hX s hs x
erw [basicOpen_eq_of_affine', PrimeSpectrum.basicOpen_eq_bot_iff] at hs
replace hs := hs.map (SpecΓIdentity.app R).inv
-- what the hell?!
replace hs := @IsNilpotent.eq_zero _ _ _ _ (show _ from ?_) hs
· rw [Iso.hom_inv_id_apply] at hs
rw [hs, map_zero]
exact @IsReduced.component_reduced _ hX ⊤
#align algebraic_geometry.eq_zero_of_basic_open_eq_bot AlgebraicGeometry.eq_zero_of_basicOpen_eq_bot
@[simp]
| Mathlib/AlgebraicGeometry/Properties.lean | 198 | 202 | theorem basicOpen_eq_bot_iff {X : Scheme} [IsReduced X] {U : Opens X.carrier}
(s : X.presheaf.obj <| op U) : X.basicOpen s = ⊥ ↔ s = 0 := by |
refine ⟨eq_zero_of_basicOpen_eq_bot s, ?_⟩
rintro rfl
simp
|
/-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad
-/
import Mathlib.Init.Function
import Mathlib.Init.Order.Defs
#align_import data.bool.basic from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
/-!
# Booleans
This file proves various trivial lemmas about booleans and their
relation to decidable propositions.
## Tags
bool, boolean, Bool, De Morgan
-/
namespace Bool
@[deprecated (since := "2024-06-07")] alias decide_True := decide_true_eq_true
#align bool.to_bool_true decide_true_eq_true
@[deprecated (since := "2024-06-07")] alias decide_False := decide_false_eq_false
#align bool.to_bool_false decide_false_eq_false
#align bool.to_bool_coe Bool.decide_coe
@[deprecated (since := "2024-06-07")] alias coe_decide := decide_eq_true_iff
#align bool.coe_to_bool decide_eq_true_iff
@[deprecated decide_eq_true_iff (since := "2024-06-07")]
alias of_decide_iff := decide_eq_true_iff
#align bool.of_to_bool_iff decide_eq_true_iff
#align bool.tt_eq_to_bool_iff true_eq_decide_iff
#align bool.ff_eq_to_bool_iff false_eq_decide_iff
@[deprecated (since := "2024-06-07")] alias decide_not := decide_not
#align bool.to_bool_not decide_not
#align bool.to_bool_and Bool.decide_and
#align bool.to_bool_or Bool.decide_or
#align bool.to_bool_eq decide_eq_decide
@[deprecated (since := "2024-06-07")] alias not_false' := false_ne_true
#align bool.not_ff Bool.false_ne_true
@[deprecated (since := "2024-06-07")] alias eq_iff_eq_true_iff := eq_iff_iff
#align bool.default_bool Bool.default_bool
theorem dichotomy (b : Bool) : b = false ∨ b = true := by cases b <;> simp
#align bool.dichotomy Bool.dichotomy
theorem forall_bool' {p : Bool → Prop} (b : Bool) : (∀ x, p x) ↔ p b ∧ p !b :=
⟨fun h ↦ ⟨h _, h _⟩, fun ⟨h₁, h₂⟩ x ↦ by cases b <;> cases x <;> assumption⟩
@[simp]
theorem forall_bool {p : Bool → Prop} : (∀ b, p b) ↔ p false ∧ p true :=
forall_bool' false
#align bool.forall_bool Bool.forall_bool
theorem exists_bool' {p : Bool → Prop} (b : Bool) : (∃ x, p x) ↔ p b ∨ p !b :=
⟨fun ⟨x, hx⟩ ↦ by cases x <;> cases b <;> first | exact .inl ‹_› | exact .inr ‹_›,
fun h ↦ by cases h <;> exact ⟨_, ‹_›⟩⟩
@[simp]
theorem exists_bool {p : Bool → Prop} : (∃ b, p b) ↔ p false ∨ p true :=
exists_bool' false
#align bool.exists_bool Bool.exists_bool
#align bool.decidable_forall_bool Bool.instDecidableForallOfDecidablePred
#align bool.decidable_exists_bool Bool.instDecidableExistsOfDecidablePred
#align bool.cond_eq_ite Bool.cond_eq_ite
#align bool.cond_to_bool Bool.cond_decide
#align bool.cond_bnot Bool.cond_not
theorem not_ne_id : not ≠ id := fun h ↦ false_ne_true <| congrFun h true
#align bool.bnot_ne_id Bool.not_ne_id
#align bool.coe_bool_iff Bool.coe_iff_coe
@[deprecated (since := "2024-06-07")] alias eq_true_of_ne_false := eq_true_of_ne_false
#align bool.eq_tt_of_ne_ff eq_true_of_ne_false
@[deprecated (since := "2024-06-07")] alias eq_false_of_ne_true := eq_false_of_ne_true
#align bool.eq_ff_of_ne_tt eq_true_of_ne_false
#align bool.bor_comm Bool.or_comm
#align bool.bor_assoc Bool.or_assoc
#align bool.bor_left_comm Bool.or_left_comm
theorem or_inl {a b : Bool} (H : a) : a || b := by simp [H]
#align bool.bor_inl Bool.or_inl
theorem or_inr {a b : Bool} (H : b) : a || b := by cases a <;> simp [H]
#align bool.bor_inr Bool.or_inr
#align bool.band_comm Bool.and_comm
#align bool.band_assoc Bool.and_assoc
#align bool.band_left_comm Bool.and_left_comm
theorem and_elim_left : ∀ {a b : Bool}, a && b → a := by decide
#align bool.band_elim_left Bool.and_elim_left
| Mathlib/Data/Bool/Basic.lean | 112 | 112 | theorem and_intro : ∀ {a b : Bool}, a → b → a && b := by | decide
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro
-/
import Mathlib.MeasureTheory.Measure.MeasureSpace
/-!
# Restricting a measure to a subset or a subtype
Given a measure `μ` on a type `α` and a subset `s` of `α`, we define a measure `μ.restrict s` as
the restriction of `μ` to `s` (still as a measure on `α`).
We investigate how this notion interacts with usual operations on measures (sum, pushforward,
pullback), and on sets (inclusion, union, Union).
We also study the relationship between the restriction of a measure to a subtype (given by the
pullback under `Subtype.val`) and the restriction to a set as above.
-/
open scoped ENNReal NNReal Topology
open Set MeasureTheory Measure Filter MeasurableSpace ENNReal Function
variable {R α β δ γ ι : Type*}
namespace MeasureTheory
variable {m0 : MeasurableSpace α} [MeasurableSpace β] [MeasurableSpace γ]
variable {μ μ₁ μ₂ μ₃ ν ν' ν₁ ν₂ : Measure α} {s s' t : Set α}
namespace Measure
/-! ### Restricting a measure -/
/-- Restrict a measure `μ` to a set `s` as an `ℝ≥0∞`-linear map. -/
noncomputable def restrictₗ {m0 : MeasurableSpace α} (s : Set α) : Measure α →ₗ[ℝ≥0∞] Measure α :=
liftLinear (OuterMeasure.restrict s) fun μ s' hs' t => by
suffices μ (s ∩ t) = μ (s ∩ t ∩ s') + μ ((s ∩ t) \ s') by
simpa [← Set.inter_assoc, Set.inter_comm _ s, ← inter_diff_assoc]
exact le_toOuterMeasure_caratheodory _ _ hs' _
#align measure_theory.measure.restrictₗ MeasureTheory.Measure.restrictₗ
/-- Restrict a measure `μ` to a set `s`. -/
noncomputable def restrict {_m0 : MeasurableSpace α} (μ : Measure α) (s : Set α) : Measure α :=
restrictₗ s μ
#align measure_theory.measure.restrict MeasureTheory.Measure.restrict
@[simp]
theorem restrictₗ_apply {_m0 : MeasurableSpace α} (s : Set α) (μ : Measure α) :
restrictₗ s μ = μ.restrict s :=
rfl
#align measure_theory.measure.restrictₗ_apply MeasureTheory.Measure.restrictₗ_apply
/-- This lemma shows that `restrict` and `toOuterMeasure` commute. Note that the LHS has a
restrict on measures and the RHS has a restrict on outer measures. -/
theorem restrict_toOuterMeasure_eq_toOuterMeasure_restrict (h : MeasurableSet s) :
(μ.restrict s).toOuterMeasure = OuterMeasure.restrict s μ.toOuterMeasure := by
simp_rw [restrict, restrictₗ, liftLinear, LinearMap.coe_mk, AddHom.coe_mk,
toMeasure_toOuterMeasure, OuterMeasure.restrict_trim h, μ.trimmed]
#align measure_theory.measure.restrict_to_outer_measure_eq_to_outer_measure_restrict MeasureTheory.Measure.restrict_toOuterMeasure_eq_toOuterMeasure_restrict
theorem restrict_apply₀ (ht : NullMeasurableSet t (μ.restrict s)) : μ.restrict s t = μ (t ∩ s) := by
rw [← restrictₗ_apply, restrictₗ, liftLinear_apply₀ _ ht, OuterMeasure.restrict_apply,
coe_toOuterMeasure]
#align measure_theory.measure.restrict_apply₀ MeasureTheory.Measure.restrict_apply₀
/-- If `t` is a measurable set, then the measure of `t` with respect to the restriction of
the measure to `s` equals the outer measure of `t ∩ s`. An alternate version requiring that `s`
be measurable instead of `t` exists as `Measure.restrict_apply'`. -/
@[simp]
theorem restrict_apply (ht : MeasurableSet t) : μ.restrict s t = μ (t ∩ s) :=
restrict_apply₀ ht.nullMeasurableSet
#align measure_theory.measure.restrict_apply MeasureTheory.Measure.restrict_apply
/-- Restriction of a measure to a subset is monotone both in set and in measure. -/
theorem restrict_mono' {_m0 : MeasurableSpace α} ⦃s s' : Set α⦄ ⦃μ ν : Measure α⦄ (hs : s ≤ᵐ[μ] s')
(hμν : μ ≤ ν) : μ.restrict s ≤ ν.restrict s' :=
Measure.le_iff.2 fun t ht => calc
μ.restrict s t = μ (t ∩ s) := restrict_apply ht
_ ≤ μ (t ∩ s') := (measure_mono_ae <| hs.mono fun _x hx ⟨hxt, hxs⟩ => ⟨hxt, hx hxs⟩)
_ ≤ ν (t ∩ s') := le_iff'.1 hμν (t ∩ s')
_ = ν.restrict s' t := (restrict_apply ht).symm
#align measure_theory.measure.restrict_mono' MeasureTheory.Measure.restrict_mono'
/-- Restriction of a measure to a subset is monotone both in set and in measure. -/
@[mono]
theorem restrict_mono {_m0 : MeasurableSpace α} ⦃s s' : Set α⦄ (hs : s ⊆ s') ⦃μ ν : Measure α⦄
(hμν : μ ≤ ν) : μ.restrict s ≤ ν.restrict s' :=
restrict_mono' (ae_of_all _ hs) hμν
#align measure_theory.measure.restrict_mono MeasureTheory.Measure.restrict_mono
theorem restrict_mono_ae (h : s ≤ᵐ[μ] t) : μ.restrict s ≤ μ.restrict t :=
restrict_mono' h (le_refl μ)
#align measure_theory.measure.restrict_mono_ae MeasureTheory.Measure.restrict_mono_ae
theorem restrict_congr_set (h : s =ᵐ[μ] t) : μ.restrict s = μ.restrict t :=
le_antisymm (restrict_mono_ae h.le) (restrict_mono_ae h.symm.le)
#align measure_theory.measure.restrict_congr_set MeasureTheory.Measure.restrict_congr_set
/-- If `s` is a measurable set, then the outer measure of `t` with respect to the restriction of
the measure to `s` equals the outer measure of `t ∩ s`. This is an alternate version of
`Measure.restrict_apply`, requiring that `s` is measurable instead of `t`. -/
@[simp]
theorem restrict_apply' (hs : MeasurableSet s) : μ.restrict s t = μ (t ∩ s) := by
rw [← toOuterMeasure_apply,
Measure.restrict_toOuterMeasure_eq_toOuterMeasure_restrict hs,
OuterMeasure.restrict_apply s t _, toOuterMeasure_apply]
#align measure_theory.measure.restrict_apply' MeasureTheory.Measure.restrict_apply'
theorem restrict_apply₀' (hs : NullMeasurableSet s μ) : μ.restrict s t = μ (t ∩ s) := by
rw [← restrict_congr_set hs.toMeasurable_ae_eq,
restrict_apply' (measurableSet_toMeasurable _ _),
measure_congr ((ae_eq_refl t).inter hs.toMeasurable_ae_eq)]
#align measure_theory.measure.restrict_apply₀' MeasureTheory.Measure.restrict_apply₀'
theorem restrict_le_self : μ.restrict s ≤ μ :=
Measure.le_iff.2 fun t ht => calc
μ.restrict s t = μ (t ∩ s) := restrict_apply ht
_ ≤ μ t := measure_mono inter_subset_left
#align measure_theory.measure.restrict_le_self MeasureTheory.Measure.restrict_le_self
variable (μ)
theorem restrict_eq_self (h : s ⊆ t) : μ.restrict t s = μ s :=
(le_iff'.1 restrict_le_self s).antisymm <|
calc
μ s ≤ μ (toMeasurable (μ.restrict t) s ∩ t) :=
measure_mono (subset_inter (subset_toMeasurable _ _) h)
_ = μ.restrict t s := by
rw [← restrict_apply (measurableSet_toMeasurable _ _), measure_toMeasurable]
#align measure_theory.measure.restrict_eq_self MeasureTheory.Measure.restrict_eq_self
@[simp]
theorem restrict_apply_self (s : Set α) : (μ.restrict s) s = μ s :=
restrict_eq_self μ Subset.rfl
#align measure_theory.measure.restrict_apply_self MeasureTheory.Measure.restrict_apply_self
variable {μ}
theorem restrict_apply_univ (s : Set α) : μ.restrict s univ = μ s := by
rw [restrict_apply MeasurableSet.univ, Set.univ_inter]
#align measure_theory.measure.restrict_apply_univ MeasureTheory.Measure.restrict_apply_univ
theorem le_restrict_apply (s t : Set α) : μ (t ∩ s) ≤ μ.restrict s t :=
calc
μ (t ∩ s) = μ.restrict s (t ∩ s) := (restrict_eq_self μ inter_subset_right).symm
_ ≤ μ.restrict s t := measure_mono inter_subset_left
#align measure_theory.measure.le_restrict_apply MeasureTheory.Measure.le_restrict_apply
theorem restrict_apply_le (s t : Set α) : μ.restrict s t ≤ μ t :=
Measure.le_iff'.1 restrict_le_self _
theorem restrict_apply_superset (h : s ⊆ t) : μ.restrict s t = μ s :=
((measure_mono (subset_univ _)).trans_eq <| restrict_apply_univ _).antisymm
((restrict_apply_self μ s).symm.trans_le <| measure_mono h)
#align measure_theory.measure.restrict_apply_superset MeasureTheory.Measure.restrict_apply_superset
@[simp]
theorem restrict_add {_m0 : MeasurableSpace α} (μ ν : Measure α) (s : Set α) :
(μ + ν).restrict s = μ.restrict s + ν.restrict s :=
(restrictₗ s).map_add μ ν
#align measure_theory.measure.restrict_add MeasureTheory.Measure.restrict_add
@[simp]
theorem restrict_zero {_m0 : MeasurableSpace α} (s : Set α) : (0 : Measure α).restrict s = 0 :=
(restrictₗ s).map_zero
#align measure_theory.measure.restrict_zero MeasureTheory.Measure.restrict_zero
@[simp]
theorem restrict_smul {_m0 : MeasurableSpace α} (c : ℝ≥0∞) (μ : Measure α) (s : Set α) :
(c • μ).restrict s = c • μ.restrict s :=
(restrictₗ s).map_smul c μ
#align measure_theory.measure.restrict_smul MeasureTheory.Measure.restrict_smul
theorem restrict_restrict₀ (hs : NullMeasurableSet s (μ.restrict t)) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
ext fun u hu => by
simp only [Set.inter_assoc, restrict_apply hu,
restrict_apply₀ (hu.nullMeasurableSet.inter hs)]
#align measure_theory.measure.restrict_restrict₀ MeasureTheory.Measure.restrict_restrict₀
@[simp]
theorem restrict_restrict (hs : MeasurableSet s) : (μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
restrict_restrict₀ hs.nullMeasurableSet
#align measure_theory.measure.restrict_restrict MeasureTheory.Measure.restrict_restrict
theorem restrict_restrict_of_subset (h : s ⊆ t) : (μ.restrict t).restrict s = μ.restrict s := by
ext1 u hu
rw [restrict_apply hu, restrict_apply hu, restrict_eq_self]
exact inter_subset_right.trans h
#align measure_theory.measure.restrict_restrict_of_subset MeasureTheory.Measure.restrict_restrict_of_subset
theorem restrict_restrict₀' (ht : NullMeasurableSet t μ) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
ext fun u hu => by simp only [restrict_apply hu, restrict_apply₀' ht, inter_assoc]
#align measure_theory.measure.restrict_restrict₀' MeasureTheory.Measure.restrict_restrict₀'
theorem restrict_restrict' (ht : MeasurableSet t) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
restrict_restrict₀' ht.nullMeasurableSet
#align measure_theory.measure.restrict_restrict' MeasureTheory.Measure.restrict_restrict'
theorem restrict_comm (hs : MeasurableSet s) :
(μ.restrict t).restrict s = (μ.restrict s).restrict t := by
rw [restrict_restrict hs, restrict_restrict' hs, inter_comm]
#align measure_theory.measure.restrict_comm MeasureTheory.Measure.restrict_comm
theorem restrict_apply_eq_zero (ht : MeasurableSet t) : μ.restrict s t = 0 ↔ μ (t ∩ s) = 0 := by
rw [restrict_apply ht]
#align measure_theory.measure.restrict_apply_eq_zero MeasureTheory.Measure.restrict_apply_eq_zero
theorem measure_inter_eq_zero_of_restrict (h : μ.restrict s t = 0) : μ (t ∩ s) = 0 :=
nonpos_iff_eq_zero.1 (h ▸ le_restrict_apply _ _)
#align measure_theory.measure.measure_inter_eq_zero_of_restrict MeasureTheory.Measure.measure_inter_eq_zero_of_restrict
theorem restrict_apply_eq_zero' (hs : MeasurableSet s) : μ.restrict s t = 0 ↔ μ (t ∩ s) = 0 := by
rw [restrict_apply' hs]
#align measure_theory.measure.restrict_apply_eq_zero' MeasureTheory.Measure.restrict_apply_eq_zero'
@[simp]
theorem restrict_eq_zero : μ.restrict s = 0 ↔ μ s = 0 := by
rw [← measure_univ_eq_zero, restrict_apply_univ]
#align measure_theory.measure.restrict_eq_zero MeasureTheory.Measure.restrict_eq_zero
/-- If `μ s ≠ 0`, then `μ.restrict s ≠ 0`, in terms of `NeZero` instances. -/
instance restrict.neZero [NeZero (μ s)] : NeZero (μ.restrict s) :=
⟨mt restrict_eq_zero.mp <| NeZero.ne _⟩
theorem restrict_zero_set {s : Set α} (h : μ s = 0) : μ.restrict s = 0 :=
restrict_eq_zero.2 h
#align measure_theory.measure.restrict_zero_set MeasureTheory.Measure.restrict_zero_set
@[simp]
theorem restrict_empty : μ.restrict ∅ = 0 :=
restrict_zero_set measure_empty
#align measure_theory.measure.restrict_empty MeasureTheory.Measure.restrict_empty
@[simp]
theorem restrict_univ : μ.restrict univ = μ :=
ext fun s hs => by simp [hs]
#align measure_theory.measure.restrict_univ MeasureTheory.Measure.restrict_univ
theorem restrict_inter_add_diff₀ (s : Set α) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∩ t) + μ.restrict (s \ t) = μ.restrict s := by
ext1 u hu
simp only [add_apply, restrict_apply hu, ← inter_assoc, diff_eq]
exact measure_inter_add_diff₀ (u ∩ s) ht
#align measure_theory.measure.restrict_inter_add_diff₀ MeasureTheory.Measure.restrict_inter_add_diff₀
theorem restrict_inter_add_diff (s : Set α) (ht : MeasurableSet t) :
μ.restrict (s ∩ t) + μ.restrict (s \ t) = μ.restrict s :=
restrict_inter_add_diff₀ s ht.nullMeasurableSet
#align measure_theory.measure.restrict_inter_add_diff MeasureTheory.Measure.restrict_inter_add_diff
theorem restrict_union_add_inter₀ (s : Set α) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t := by
rw [← restrict_inter_add_diff₀ (s ∪ t) ht, union_inter_cancel_right, union_diff_right, ←
restrict_inter_add_diff₀ s ht, add_comm, ← add_assoc, add_right_comm]
#align measure_theory.measure.restrict_union_add_inter₀ MeasureTheory.Measure.restrict_union_add_inter₀
theorem restrict_union_add_inter (s : Set α) (ht : MeasurableSet t) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t :=
restrict_union_add_inter₀ s ht.nullMeasurableSet
#align measure_theory.measure.restrict_union_add_inter MeasureTheory.Measure.restrict_union_add_inter
theorem restrict_union_add_inter' (hs : MeasurableSet s) (t : Set α) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t := by
simpa only [union_comm, inter_comm, add_comm] using restrict_union_add_inter t hs
#align measure_theory.measure.restrict_union_add_inter' MeasureTheory.Measure.restrict_union_add_inter'
theorem restrict_union₀ (h : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∪ t) = μ.restrict s + μ.restrict t := by
simp [← restrict_union_add_inter₀ s ht, restrict_zero_set h]
#align measure_theory.measure.restrict_union₀ MeasureTheory.Measure.restrict_union₀
theorem restrict_union (h : Disjoint s t) (ht : MeasurableSet t) :
μ.restrict (s ∪ t) = μ.restrict s + μ.restrict t :=
restrict_union₀ h.aedisjoint ht.nullMeasurableSet
#align measure_theory.measure.restrict_union MeasureTheory.Measure.restrict_union
theorem restrict_union' (h : Disjoint s t) (hs : MeasurableSet s) :
μ.restrict (s ∪ t) = μ.restrict s + μ.restrict t := by
rw [union_comm, restrict_union h.symm hs, add_comm]
#align measure_theory.measure.restrict_union' MeasureTheory.Measure.restrict_union'
@[simp]
theorem restrict_add_restrict_compl (hs : MeasurableSet s) :
μ.restrict s + μ.restrict sᶜ = μ := by
rw [← restrict_union (@disjoint_compl_right (Set α) _ _) hs.compl, union_compl_self,
restrict_univ]
#align measure_theory.measure.restrict_add_restrict_compl MeasureTheory.Measure.restrict_add_restrict_compl
@[simp]
theorem restrict_compl_add_restrict (hs : MeasurableSet s) : μ.restrict sᶜ + μ.restrict s = μ := by
rw [add_comm, restrict_add_restrict_compl hs]
#align measure_theory.measure.restrict_compl_add_restrict MeasureTheory.Measure.restrict_compl_add_restrict
theorem restrict_union_le (s s' : Set α) : μ.restrict (s ∪ s') ≤ μ.restrict s + μ.restrict s' :=
le_iff.2 fun t ht ↦ by
simpa [ht, inter_union_distrib_left] using measure_union_le (t ∩ s) (t ∩ s')
#align measure_theory.measure.restrict_union_le MeasureTheory.Measure.restrict_union_le
theorem restrict_iUnion_apply_ae [Countable ι] {s : ι → Set α} (hd : Pairwise (AEDisjoint μ on s))
(hm : ∀ i, NullMeasurableSet (s i) μ) {t : Set α} (ht : MeasurableSet t) :
μ.restrict (⋃ i, s i) t = ∑' i, μ.restrict (s i) t := by
simp only [restrict_apply, ht, inter_iUnion]
exact
measure_iUnion₀ (hd.mono fun i j h => h.mono inter_subset_right inter_subset_right)
fun i => ht.nullMeasurableSet.inter (hm i)
#align measure_theory.measure.restrict_Union_apply_ae MeasureTheory.Measure.restrict_iUnion_apply_ae
theorem restrict_iUnion_apply [Countable ι] {s : ι → Set α} (hd : Pairwise (Disjoint on s))
(hm : ∀ i, MeasurableSet (s i)) {t : Set α} (ht : MeasurableSet t) :
μ.restrict (⋃ i, s i) t = ∑' i, μ.restrict (s i) t :=
restrict_iUnion_apply_ae hd.aedisjoint (fun i => (hm i).nullMeasurableSet) ht
#align measure_theory.measure.restrict_Union_apply MeasureTheory.Measure.restrict_iUnion_apply
theorem restrict_iUnion_apply_eq_iSup [Countable ι] {s : ι → Set α} (hd : Directed (· ⊆ ·) s)
{t : Set α} (ht : MeasurableSet t) : μ.restrict (⋃ i, s i) t = ⨆ i, μ.restrict (s i) t := by
simp only [restrict_apply ht, inter_iUnion]
rw [measure_iUnion_eq_iSup]
exacts [hd.mono_comp _ fun s₁ s₂ => inter_subset_inter_right _]
#align measure_theory.measure.restrict_Union_apply_eq_supr MeasureTheory.Measure.restrict_iUnion_apply_eq_iSup
/-- The restriction of the pushforward measure is the pushforward of the restriction. For a version
assuming only `AEMeasurable`, see `restrict_map_of_aemeasurable`. -/
theorem restrict_map {f : α → β} (hf : Measurable f) {s : Set β} (hs : MeasurableSet s) :
(μ.map f).restrict s = (μ.restrict <| f ⁻¹' s).map f :=
ext fun t ht => by simp [*, hf ht]
#align measure_theory.measure.restrict_map MeasureTheory.Measure.restrict_map
theorem restrict_toMeasurable (h : μ s ≠ ∞) : μ.restrict (toMeasurable μ s) = μ.restrict s :=
ext fun t ht => by
rw [restrict_apply ht, restrict_apply ht, inter_comm, measure_toMeasurable_inter ht h,
inter_comm]
#align measure_theory.measure.restrict_to_measurable MeasureTheory.Measure.restrict_toMeasurable
theorem restrict_eq_self_of_ae_mem {_m0 : MeasurableSpace α} ⦃s : Set α⦄ ⦃μ : Measure α⦄
(hs : ∀ᵐ x ∂μ, x ∈ s) : μ.restrict s = μ :=
calc
μ.restrict s = μ.restrict univ := restrict_congr_set (eventuallyEq_univ.mpr hs)
_ = μ := restrict_univ
#align measure_theory.measure.restrict_eq_self_of_ae_mem MeasureTheory.Measure.restrict_eq_self_of_ae_mem
theorem restrict_congr_meas (hs : MeasurableSet s) :
μ.restrict s = ν.restrict s ↔ ∀ t ⊆ s, MeasurableSet t → μ t = ν t :=
⟨fun H t hts ht => by
rw [← inter_eq_self_of_subset_left hts, ← restrict_apply ht, H, restrict_apply ht], fun H =>
ext fun t ht => by
rw [restrict_apply ht, restrict_apply ht, H _ inter_subset_right (ht.inter hs)]⟩
#align measure_theory.measure.restrict_congr_meas MeasureTheory.Measure.restrict_congr_meas
theorem restrict_congr_mono (hs : s ⊆ t) (h : μ.restrict t = ν.restrict t) :
μ.restrict s = ν.restrict s := by
rw [← restrict_restrict_of_subset hs, h, restrict_restrict_of_subset hs]
#align measure_theory.measure.restrict_congr_mono MeasureTheory.Measure.restrict_congr_mono
/-- If two measures agree on all measurable subsets of `s` and `t`, then they agree on all
measurable subsets of `s ∪ t`. -/
theorem restrict_union_congr :
μ.restrict (s ∪ t) = ν.restrict (s ∪ t) ↔
μ.restrict s = ν.restrict s ∧ μ.restrict t = ν.restrict t := by
refine
⟨fun h =>
⟨restrict_congr_mono subset_union_left h,
restrict_congr_mono subset_union_right h⟩,
?_⟩
rintro ⟨hs, ht⟩
ext1 u hu
simp only [restrict_apply hu, inter_union_distrib_left]
rcases exists_measurable_superset₂ μ ν (u ∩ s) with ⟨US, hsub, hm, hμ, hν⟩
calc
μ (u ∩ s ∪ u ∩ t) = μ (US ∪ u ∩ t) :=
measure_union_congr_of_subset hsub hμ.le Subset.rfl le_rfl
_ = μ US + μ ((u ∩ t) \ US) := (measure_add_diff hm _).symm
_ = restrict μ s u + restrict μ t (u \ US) := by
simp only [restrict_apply, hu, hu.diff hm, hμ, ← inter_comm t, inter_diff_assoc]
_ = restrict ν s u + restrict ν t (u \ US) := by rw [hs, ht]
_ = ν US + ν ((u ∩ t) \ US) := by
simp only [restrict_apply, hu, hu.diff hm, hν, ← inter_comm t, inter_diff_assoc]
_ = ν (US ∪ u ∩ t) := measure_add_diff hm _
_ = ν (u ∩ s ∪ u ∩ t) := Eq.symm <| measure_union_congr_of_subset hsub hν.le Subset.rfl le_rfl
#align measure_theory.measure.restrict_union_congr MeasureTheory.Measure.restrict_union_congr
| Mathlib/MeasureTheory/Measure/Restrict.lean | 385 | 391 | theorem restrict_finset_biUnion_congr {s : Finset ι} {t : ι → Set α} :
μ.restrict (⋃ i ∈ s, t i) = ν.restrict (⋃ i ∈ s, t i) ↔
∀ i ∈ s, μ.restrict (t i) = ν.restrict (t i) := by |
classical
induction' s using Finset.induction_on with i s _ hs; · simp
simp only [forall_eq_or_imp, iUnion_iUnion_eq_or_left, Finset.mem_insert]
rw [restrict_union_congr, ← hs]
|
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne
-/
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2
#align_import measure_theory.function.conditional_expectation.condexp_L1 from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
/-! # Conditional expectation in L1
This file contains two more steps of the construction of the conditional expectation, which is
completed in `MeasureTheory.Function.ConditionalExpectation.Basic`. See that file for a
description of the full process.
The contitional expectation of an `L²` function is defined in
`MeasureTheory.Function.ConditionalExpectation.CondexpL2`. In this file, we perform two steps.
* Show that the conditional expectation of the indicator of a measurable set with finite measure
is integrable and define a map `Set α → (E →L[ℝ] (α →₁[μ] E))` which to a set associates a linear
map. That linear map sends `x ∈ E` to the conditional expectation of the indicator of the set
with value `x`.
* Extend that map to `condexpL1CLM : (α →₁[μ] E) →L[ℝ] (α →₁[μ] E)`. This is done using the same
construction as the Bochner integral (see the file `MeasureTheory/Integral/SetToL1`).
## Main definitions
* `condexpL1`: Conditional expectation of a function as a linear map from `L1` to itself.
-/
noncomputable section
open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap
open scoped NNReal ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α β F F' G G' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
-- G for a Lp add_subgroup
[NormedAddCommGroup G]
-- G' for integrals on a Lp add_subgroup
[NormedAddCommGroup G']
[NormedSpace ℝ G'] [CompleteSpace G']
section CondexpInd
/-! ## Conditional expectation of an indicator as a continuous linear map.
The goal of this section is to build
`condexpInd (hm : m ≤ m0) (μ : Measure α) (s : Set s) : G →L[ℝ] α →₁[μ] G`, which
takes `x : G` to the conditional expectation of the indicator of the set `s` with value `x`,
seen as an element of `α →₁[μ] G`.
-/
variable {m m0 : MeasurableSpace α} {μ : Measure α} {s t : Set α} [NormedSpace ℝ G]
section CondexpIndL1Fin
set_option linter.uppercaseLean3 false
/-- Conditional expectation of the indicator of a measurable set with finite measure,
as a function in L1. -/
def condexpIndL1Fin (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hs : MeasurableSet s) (hμs : μ s ≠ ∞)
(x : G) : α →₁[μ] G :=
(integrable_condexpIndSMul hm hs hμs x).toL1 _
#align measure_theory.condexp_ind_L1_fin MeasureTheory.condexpIndL1Fin
theorem condexpIndL1Fin_ae_eq_condexpIndSMul (hm : m ≤ m0) [SigmaFinite (μ.trim hm)]
(hs : MeasurableSet s) (hμs : μ s ≠ ∞) (x : G) :
condexpIndL1Fin hm hs hμs x =ᵐ[μ] condexpIndSMul hm hs hμs x :=
(integrable_condexpIndSMul hm hs hμs x).coeFn_toL1
#align measure_theory.condexp_ind_L1_fin_ae_eq_condexp_ind_smul MeasureTheory.condexpIndL1Fin_ae_eq_condexpIndSMul
variable {hm : m ≤ m0} [SigmaFinite (μ.trim hm)]
-- Porting note: this lemma fills the hole in `refine' (Memℒp.coeFn_toLp _) ...`
-- which is not automatically filled in Lean 4
private theorem q {hs : MeasurableSet s} {hμs : μ s ≠ ∞} {x : G} :
Memℒp (condexpIndSMul hm hs hμs x) 1 μ := by
rw [memℒp_one_iff_integrable]; apply integrable_condexpIndSMul
theorem condexpIndL1Fin_add (hs : MeasurableSet s) (hμs : μ s ≠ ∞) (x y : G) :
condexpIndL1Fin hm hs hμs (x + y) =
condexpIndL1Fin hm hs hμs x + condexpIndL1Fin hm hs hμs y := by
ext1
refine (Memℒp.coeFn_toLp q).trans ?_
refine EventuallyEq.trans ?_ (Lp.coeFn_add _ _).symm
refine EventuallyEq.trans ?_
(EventuallyEq.add (Memℒp.coeFn_toLp q).symm (Memℒp.coeFn_toLp q).symm)
rw [condexpIndSMul_add]
refine (Lp.coeFn_add _ _).trans (eventually_of_forall fun a => ?_)
rfl
#align measure_theory.condexp_ind_L1_fin_add MeasureTheory.condexpIndL1Fin_add
theorem condexpIndL1Fin_smul (hs : MeasurableSet s) (hμs : μ s ≠ ∞) (c : ℝ) (x : G) :
condexpIndL1Fin hm hs hμs (c • x) = c • condexpIndL1Fin hm hs hμs x := by
ext1
refine (Memℒp.coeFn_toLp q).trans ?_
refine EventuallyEq.trans ?_ (Lp.coeFn_smul _ _).symm
rw [condexpIndSMul_smul hs hμs c x]
refine (Lp.coeFn_smul _ _).trans ?_
refine (condexpIndL1Fin_ae_eq_condexpIndSMul hm hs hμs x).mono fun y hy => ?_
simp only [Pi.smul_apply, hy]
#align measure_theory.condexp_ind_L1_fin_smul MeasureTheory.condexpIndL1Fin_smul
theorem condexpIndL1Fin_smul' [NormedSpace ℝ F] [SMulCommClass ℝ 𝕜 F] (hs : MeasurableSet s)
(hμs : μ s ≠ ∞) (c : 𝕜) (x : F) :
condexpIndL1Fin hm hs hμs (c • x) = c • condexpIndL1Fin hm hs hμs x := by
ext1
refine (Memℒp.coeFn_toLp q).trans ?_
refine EventuallyEq.trans ?_ (Lp.coeFn_smul _ _).symm
rw [condexpIndSMul_smul' hs hμs c x]
refine (Lp.coeFn_smul _ _).trans ?_
refine (condexpIndL1Fin_ae_eq_condexpIndSMul hm hs hμs x).mono fun y hy => ?_
simp only [Pi.smul_apply, hy]
#align measure_theory.condexp_ind_L1_fin_smul' MeasureTheory.condexpIndL1Fin_smul'
theorem norm_condexpIndL1Fin_le (hs : MeasurableSet s) (hμs : μ s ≠ ∞) (x : G) :
‖condexpIndL1Fin hm hs hμs x‖ ≤ (μ s).toReal * ‖x‖ := by
have : 0 ≤ ∫ a : α, ‖condexpIndL1Fin hm hs hμs x a‖ ∂μ := by positivity
rw [L1.norm_eq_integral_norm, ← ENNReal.toReal_ofReal (norm_nonneg x), ← ENNReal.toReal_mul, ←
ENNReal.toReal_ofReal this,
ENNReal.toReal_le_toReal ENNReal.ofReal_ne_top (ENNReal.mul_ne_top hμs ENNReal.ofReal_ne_top),
ofReal_integral_norm_eq_lintegral_nnnorm]
swap; · rw [← memℒp_one_iff_integrable]; exact Lp.memℒp _
have h_eq :
∫⁻ a, ‖condexpIndL1Fin hm hs hμs x a‖₊ ∂μ = ∫⁻ a, ‖condexpIndSMul hm hs hμs x a‖₊ ∂μ := by
refine lintegral_congr_ae ?_
refine (condexpIndL1Fin_ae_eq_condexpIndSMul hm hs hμs x).mono fun z hz => ?_
dsimp only
rw [hz]
rw [h_eq, ofReal_norm_eq_coe_nnnorm]
exact lintegral_nnnorm_condexpIndSMul_le hm hs hμs x
#align measure_theory.norm_condexp_ind_L1_fin_le MeasureTheory.norm_condexpIndL1Fin_le
theorem condexpIndL1Fin_disjoint_union (hs : MeasurableSet s) (ht : MeasurableSet t) (hμs : μ s ≠ ∞)
(hμt : μ t ≠ ∞) (hst : s ∩ t = ∅) (x : G) :
condexpIndL1Fin hm (hs.union ht) ((measure_union_le s t).trans_lt
(lt_top_iff_ne_top.mpr (ENNReal.add_ne_top.mpr ⟨hμs, hμt⟩))).ne x =
condexpIndL1Fin hm hs hμs x + condexpIndL1Fin hm ht hμt x := by
ext1
have hμst :=
((measure_union_le s t).trans_lt (lt_top_iff_ne_top.mpr (ENNReal.add_ne_top.mpr ⟨hμs, hμt⟩))).ne
refine (condexpIndL1Fin_ae_eq_condexpIndSMul hm (hs.union ht) hμst x).trans ?_
refine EventuallyEq.trans ?_ (Lp.coeFn_add _ _).symm
have hs_eq := condexpIndL1Fin_ae_eq_condexpIndSMul hm hs hμs x
have ht_eq := condexpIndL1Fin_ae_eq_condexpIndSMul hm ht hμt x
refine EventuallyEq.trans ?_ (EventuallyEq.add hs_eq.symm ht_eq.symm)
rw [condexpIndSMul]
rw [indicatorConstLp_disjoint_union hs ht hμs hμt hst (1 : ℝ)]
rw [(condexpL2 ℝ ℝ hm).map_add]
push_cast
rw [((toSpanSingleton ℝ x).compLpL 2 μ).map_add]
refine (Lp.coeFn_add _ _).trans ?_
filter_upwards with y using rfl
#align measure_theory.condexp_ind_L1_fin_disjoint_union MeasureTheory.condexpIndL1Fin_disjoint_union
end CondexpIndL1Fin
open scoped Classical
section CondexpIndL1
set_option linter.uppercaseLean3 false
/-- Conditional expectation of the indicator of a set, as a function in L1. Its value for sets
which are not both measurable and of finite measure is not used: we set it to 0. -/
def condexpIndL1 {m m0 : MeasurableSpace α} (hm : m ≤ m0) (μ : Measure α) (s : Set α)
[SigmaFinite (μ.trim hm)] (x : G) : α →₁[μ] G :=
if hs : MeasurableSet s ∧ μ s ≠ ∞ then condexpIndL1Fin hm hs.1 hs.2 x else 0
#align measure_theory.condexp_ind_L1 MeasureTheory.condexpIndL1
variable {hm : m ≤ m0} [SigmaFinite (μ.trim hm)]
theorem condexpIndL1_of_measurableSet_of_measure_ne_top (hs : MeasurableSet s) (hμs : μ s ≠ ∞)
(x : G) : condexpIndL1 hm μ s x = condexpIndL1Fin hm hs hμs x := by
simp only [condexpIndL1, And.intro hs hμs, dif_pos, Ne, not_false_iff, and_self_iff]
#align measure_theory.condexp_ind_L1_of_measurable_set_of_measure_ne_top MeasureTheory.condexpIndL1_of_measurableSet_of_measure_ne_top
theorem condexpIndL1_of_measure_eq_top (hμs : μ s = ∞) (x : G) : condexpIndL1 hm μ s x = 0 := by
simp only [condexpIndL1, hμs, eq_self_iff_true, not_true, Ne, dif_neg, not_false_iff,
and_false_iff]
#align measure_theory.condexp_ind_L1_of_measure_eq_top MeasureTheory.condexpIndL1_of_measure_eq_top
theorem condexpIndL1_of_not_measurableSet (hs : ¬MeasurableSet s) (x : G) :
condexpIndL1 hm μ s x = 0 := by
simp only [condexpIndL1, hs, dif_neg, not_false_iff, false_and_iff]
#align measure_theory.condexp_ind_L1_of_not_measurable_set MeasureTheory.condexpIndL1_of_not_measurableSet
theorem condexpIndL1_add (x y : G) :
condexpIndL1 hm μ s (x + y) = condexpIndL1 hm μ s x + condexpIndL1 hm μ s y := by
by_cases hs : MeasurableSet s
swap; · simp_rw [condexpIndL1_of_not_measurableSet hs]; rw [zero_add]
by_cases hμs : μ s = ∞
· simp_rw [condexpIndL1_of_measure_eq_top hμs]; rw [zero_add]
· simp_rw [condexpIndL1_of_measurableSet_of_measure_ne_top hs hμs]
exact condexpIndL1Fin_add hs hμs x y
#align measure_theory.condexp_ind_L1_add MeasureTheory.condexpIndL1_add
theorem condexpIndL1_smul (c : ℝ) (x : G) :
condexpIndL1 hm μ s (c • x) = c • condexpIndL1 hm μ s x := by
by_cases hs : MeasurableSet s
swap; · simp_rw [condexpIndL1_of_not_measurableSet hs]; rw [smul_zero]
by_cases hμs : μ s = ∞
· simp_rw [condexpIndL1_of_measure_eq_top hμs]; rw [smul_zero]
· simp_rw [condexpIndL1_of_measurableSet_of_measure_ne_top hs hμs]
exact condexpIndL1Fin_smul hs hμs c x
#align measure_theory.condexp_ind_L1_smul MeasureTheory.condexpIndL1_smul
theorem condexpIndL1_smul' [NormedSpace ℝ F] [SMulCommClass ℝ 𝕜 F] (c : 𝕜) (x : F) :
condexpIndL1 hm μ s (c • x) = c • condexpIndL1 hm μ s x := by
by_cases hs : MeasurableSet s
swap; · simp_rw [condexpIndL1_of_not_measurableSet hs]; rw [smul_zero]
by_cases hμs : μ s = ∞
· simp_rw [condexpIndL1_of_measure_eq_top hμs]; rw [smul_zero]
· simp_rw [condexpIndL1_of_measurableSet_of_measure_ne_top hs hμs]
exact condexpIndL1Fin_smul' hs hμs c x
#align measure_theory.condexp_ind_L1_smul' MeasureTheory.condexpIndL1_smul'
theorem norm_condexpIndL1_le (x : G) : ‖condexpIndL1 hm μ s x‖ ≤ (μ s).toReal * ‖x‖ := by
by_cases hs : MeasurableSet s
swap
· simp_rw [condexpIndL1_of_not_measurableSet hs]; rw [Lp.norm_zero]
exact mul_nonneg ENNReal.toReal_nonneg (norm_nonneg _)
by_cases hμs : μ s = ∞
· rw [condexpIndL1_of_measure_eq_top hμs x, Lp.norm_zero]
exact mul_nonneg ENNReal.toReal_nonneg (norm_nonneg _)
· rw [condexpIndL1_of_measurableSet_of_measure_ne_top hs hμs x]
exact norm_condexpIndL1Fin_le hs hμs x
#align measure_theory.norm_condexp_ind_L1_le MeasureTheory.norm_condexpIndL1_le
theorem continuous_condexpIndL1 : Continuous fun x : G => condexpIndL1 hm μ s x :=
continuous_of_linear_of_bound condexpIndL1_add condexpIndL1_smul norm_condexpIndL1_le
#align measure_theory.continuous_condexp_ind_L1 MeasureTheory.continuous_condexpIndL1
theorem condexpIndL1_disjoint_union (hs : MeasurableSet s) (ht : MeasurableSet t) (hμs : μ s ≠ ∞)
(hμt : μ t ≠ ∞) (hst : s ∩ t = ∅) (x : G) :
condexpIndL1 hm μ (s ∪ t) x = condexpIndL1 hm μ s x + condexpIndL1 hm μ t x := by
have hμst : μ (s ∪ t) ≠ ∞ :=
((measure_union_le s t).trans_lt (lt_top_iff_ne_top.mpr (ENNReal.add_ne_top.mpr ⟨hμs, hμt⟩))).ne
rw [condexpIndL1_of_measurableSet_of_measure_ne_top hs hμs x,
condexpIndL1_of_measurableSet_of_measure_ne_top ht hμt x,
condexpIndL1_of_measurableSet_of_measure_ne_top (hs.union ht) hμst x]
exact condexpIndL1Fin_disjoint_union hs ht hμs hμt hst x
#align measure_theory.condexp_ind_L1_disjoint_union MeasureTheory.condexpIndL1_disjoint_union
end CondexpIndL1
-- Porting note: `G` is not automatically inferred in `condexpInd` in Lean 4;
-- to avoid repeatedly typing `(G := ...)` it is made explicit.
variable (G)
/-- Conditional expectation of the indicator of a set, as a linear map from `G` to L1. -/
def condexpInd {m m0 : MeasurableSpace α} (hm : m ≤ m0) (μ : Measure α) [SigmaFinite (μ.trim hm)]
(s : Set α) : G →L[ℝ] α →₁[μ] G where
toFun := condexpIndL1 hm μ s
map_add' := condexpIndL1_add
map_smul' := condexpIndL1_smul
cont := continuous_condexpIndL1
#align measure_theory.condexp_ind MeasureTheory.condexpInd
variable {G}
theorem condexpInd_ae_eq_condexpIndSMul (hm : m ≤ m0) [SigmaFinite (μ.trim hm)]
(hs : MeasurableSet s) (hμs : μ s ≠ ∞) (x : G) :
condexpInd G hm μ s x =ᵐ[μ] condexpIndSMul hm hs hμs x := by
refine EventuallyEq.trans ?_ (condexpIndL1Fin_ae_eq_condexpIndSMul hm hs hμs x)
simp [condexpInd, condexpIndL1, hs, hμs]
#align measure_theory.condexp_ind_ae_eq_condexp_ind_smul MeasureTheory.condexpInd_ae_eq_condexpIndSMul
variable {hm : m ≤ m0} [SigmaFinite (μ.trim hm)]
theorem aestronglyMeasurable'_condexpInd (hs : MeasurableSet s) (hμs : μ s ≠ ∞) (x : G) :
AEStronglyMeasurable' m (condexpInd G hm μ s x) μ :=
AEStronglyMeasurable'.congr (aeStronglyMeasurable'_condexpIndSMul hm hs hμs x)
(condexpInd_ae_eq_condexpIndSMul hm hs hμs x).symm
#align measure_theory.ae_strongly_measurable'_condexp_ind MeasureTheory.aestronglyMeasurable'_condexpInd
@[simp]
| Mathlib/MeasureTheory/Function/ConditionalExpectation/CondexpL1.lean | 290 | 297 | theorem condexpInd_empty : condexpInd G hm μ ∅ = (0 : G →L[ℝ] α →₁[μ] G) := by |
ext1 x
ext1
refine (condexpInd_ae_eq_condexpIndSMul hm MeasurableSet.empty (by simp) x).trans ?_
rw [condexpIndSMul_empty]
refine (Lp.coeFn_zero G 2 μ).trans ?_
refine EventuallyEq.trans ?_ (Lp.coeFn_zero G 1 μ).symm
rfl
|
/-
Copyright (c) 2021 Bryan Gin-ge Chen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz, Bryan Gin-ge Chen, Yaël Dillies
-/
import Mathlib.Order.BooleanAlgebra
import Mathlib.Logic.Equiv.Basic
#align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904"
/-!
# Symmetric difference and bi-implication
This file defines the symmetric difference and bi-implication operators in (co-)Heyting algebras.
## Examples
Some examples are
* The symmetric difference of two sets is the set of elements that are in either but not both.
* The symmetric difference on propositions is `Xor'`.
* The symmetric difference on `Bool` is `Bool.xor`.
* The equivalence of propositions. Two propositions are equivalent if they imply each other.
* The symmetric difference translates to addition when considering a Boolean algebra as a Boolean
ring.
## Main declarations
* `symmDiff`: The symmetric difference operator, defined as `(a \ b) ⊔ (b \ a)`
* `bihimp`: The bi-implication operator, defined as `(b ⇨ a) ⊓ (a ⇨ b)`
In generalized Boolean algebras, the symmetric difference operator is:
* `symmDiff_comm`: commutative, and
* `symmDiff_assoc`: associative.
## Notations
* `a ∆ b`: `symmDiff a b`
* `a ⇔ b`: `bihimp a b`
## References
The proof of associativity follows the note "Associativity of the Symmetric Difference of Sets: A
Proof from the Book" by John McCuan:
* <https://people.math.gatech.edu/~mccuan/courses/4317/symmetricdifference.pdf>
## Tags
boolean ring, generalized boolean algebra, boolean algebra, symmetric difference, bi-implication,
Heyting
-/
open Function OrderDual
variable {ι α β : Type*} {π : ι → Type*}
/-- The symmetric difference operator on a type with `⊔` and `\` is `(A \ B) ⊔ (B \ A)`. -/
def symmDiff [Sup α] [SDiff α] (a b : α) : α :=
a \ b ⊔ b \ a
#align symm_diff symmDiff
/-- The Heyting bi-implication is `(b ⇨ a) ⊓ (a ⇨ b)`. This generalizes equivalence of
propositions. -/
def bihimp [Inf α] [HImp α] (a b : α) : α :=
(b ⇨ a) ⊓ (a ⇨ b)
#align bihimp bihimp
/-- Notation for symmDiff -/
scoped[symmDiff] infixl:100 " ∆ " => symmDiff
/-- Notation for bihimp -/
scoped[symmDiff] infixl:100 " ⇔ " => bihimp
open scoped symmDiff
theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a :=
rfl
#align symm_diff_def symmDiff_def
theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) :=
rfl
#align bihimp_def bihimp_def
theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q :=
rfl
#align symm_diff_eq_xor symmDiff_eq_Xor'
@[simp]
theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) :=
(iff_iff_implies_and_implies _ _).symm.trans Iff.comm
#align bihimp_iff_iff bihimp_iff_iff
@[simp]
theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide
#align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor
section GeneralizedCoheytingAlgebra
variable [GeneralizedCoheytingAlgebra α] (a b c d : α)
@[simp]
theorem toDual_symmDiff : toDual (a ∆ b) = toDual a ⇔ toDual b :=
rfl
#align to_dual_symm_diff toDual_symmDiff
@[simp]
theorem ofDual_bihimp (a b : αᵒᵈ) : ofDual (a ⇔ b) = ofDual a ∆ ofDual b :=
rfl
#align of_dual_bihimp ofDual_bihimp
theorem symmDiff_comm : a ∆ b = b ∆ a := by simp only [symmDiff, sup_comm]
#align symm_diff_comm symmDiff_comm
instance symmDiff_isCommutative : Std.Commutative (α := α) (· ∆ ·) :=
⟨symmDiff_comm⟩
#align symm_diff_is_comm symmDiff_isCommutative
@[simp]
theorem symmDiff_self : a ∆ a = ⊥ := by rw [symmDiff, sup_idem, sdiff_self]
#align symm_diff_self symmDiff_self
@[simp]
theorem symmDiff_bot : a ∆ ⊥ = a := by rw [symmDiff, sdiff_bot, bot_sdiff, sup_bot_eq]
#align symm_diff_bot symmDiff_bot
@[simp]
theorem bot_symmDiff : ⊥ ∆ a = a := by rw [symmDiff_comm, symmDiff_bot]
#align bot_symm_diff bot_symmDiff
@[simp]
theorem symmDiff_eq_bot {a b : α} : a ∆ b = ⊥ ↔ a = b := by
simp_rw [symmDiff, sup_eq_bot_iff, sdiff_eq_bot_iff, le_antisymm_iff]
#align symm_diff_eq_bot symmDiff_eq_bot
theorem symmDiff_of_le {a b : α} (h : a ≤ b) : a ∆ b = b \ a := by
rw [symmDiff, sdiff_eq_bot_iff.2 h, bot_sup_eq]
#align symm_diff_of_le symmDiff_of_le
theorem symmDiff_of_ge {a b : α} (h : b ≤ a) : a ∆ b = a \ b := by
rw [symmDiff, sdiff_eq_bot_iff.2 h, sup_bot_eq]
#align symm_diff_of_ge symmDiff_of_ge
theorem symmDiff_le {a b c : α} (ha : a ≤ b ⊔ c) (hb : b ≤ a ⊔ c) : a ∆ b ≤ c :=
sup_le (sdiff_le_iff.2 ha) <| sdiff_le_iff.2 hb
#align symm_diff_le symmDiff_le
theorem symmDiff_le_iff {a b c : α} : a ∆ b ≤ c ↔ a ≤ b ⊔ c ∧ b ≤ a ⊔ c := by
simp_rw [symmDiff, sup_le_iff, sdiff_le_iff]
#align symm_diff_le_iff symmDiff_le_iff
@[simp]
theorem symmDiff_le_sup {a b : α} : a ∆ b ≤ a ⊔ b :=
sup_le_sup sdiff_le sdiff_le
#align symm_diff_le_sup symmDiff_le_sup
theorem symmDiff_eq_sup_sdiff_inf : a ∆ b = (a ⊔ b) \ (a ⊓ b) := by simp [sup_sdiff, symmDiff]
#align symm_diff_eq_sup_sdiff_inf symmDiff_eq_sup_sdiff_inf
theorem Disjoint.symmDiff_eq_sup {a b : α} (h : Disjoint a b) : a ∆ b = a ⊔ b := by
rw [symmDiff, h.sdiff_eq_left, h.sdiff_eq_right]
#align disjoint.symm_diff_eq_sup Disjoint.symmDiff_eq_sup
theorem symmDiff_sdiff : a ∆ b \ c = a \ (b ⊔ c) ⊔ b \ (a ⊔ c) := by
rw [symmDiff, sup_sdiff_distrib, sdiff_sdiff_left, sdiff_sdiff_left]
#align symm_diff_sdiff symmDiff_sdiff
@[simp]
theorem symmDiff_sdiff_inf : a ∆ b \ (a ⊓ b) = a ∆ b := by
rw [symmDiff_sdiff]
simp [symmDiff]
#align symm_diff_sdiff_inf symmDiff_sdiff_inf
@[simp]
theorem symmDiff_sdiff_eq_sup : a ∆ (b \ a) = a ⊔ b := by
rw [symmDiff, sdiff_idem]
exact
le_antisymm (sup_le_sup sdiff_le sdiff_le)
(sup_le le_sdiff_sup <| le_sdiff_sup.trans <| sup_le le_sup_right le_sdiff_sup)
#align symm_diff_sdiff_eq_sup symmDiff_sdiff_eq_sup
@[simp]
theorem sdiff_symmDiff_eq_sup : (a \ b) ∆ b = a ⊔ b := by
rw [symmDiff_comm, symmDiff_sdiff_eq_sup, sup_comm]
#align sdiff_symm_diff_eq_sup sdiff_symmDiff_eq_sup
@[simp]
theorem symmDiff_sup_inf : a ∆ b ⊔ a ⊓ b = a ⊔ b := by
refine le_antisymm (sup_le symmDiff_le_sup inf_le_sup) ?_
rw [sup_inf_left, symmDiff]
refine sup_le (le_inf le_sup_right ?_) (le_inf ?_ le_sup_right)
· rw [sup_right_comm]
exact le_sup_of_le_left le_sdiff_sup
· rw [sup_assoc]
exact le_sup_of_le_right le_sdiff_sup
#align symm_diff_sup_inf symmDiff_sup_inf
@[simp]
theorem inf_sup_symmDiff : a ⊓ b ⊔ a ∆ b = a ⊔ b := by rw [sup_comm, symmDiff_sup_inf]
#align inf_sup_symm_diff inf_sup_symmDiff
@[simp]
theorem symmDiff_symmDiff_inf : a ∆ b ∆ (a ⊓ b) = a ⊔ b := by
rw [← symmDiff_sdiff_inf a, sdiff_symmDiff_eq_sup, symmDiff_sup_inf]
#align symm_diff_symm_diff_inf symmDiff_symmDiff_inf
@[simp]
theorem inf_symmDiff_symmDiff : (a ⊓ b) ∆ (a ∆ b) = a ⊔ b := by
rw [symmDiff_comm, symmDiff_symmDiff_inf]
#align inf_symm_diff_symm_diff inf_symmDiff_symmDiff
theorem symmDiff_triangle : a ∆ c ≤ a ∆ b ⊔ b ∆ c := by
refine (sup_le_sup (sdiff_triangle a b c) <| sdiff_triangle _ b _).trans_eq ?_
rw [sup_comm (c \ b), sup_sup_sup_comm, symmDiff, symmDiff]
#align symm_diff_triangle symmDiff_triangle
theorem le_symmDiff_sup_right (a b : α) : a ≤ (a ∆ b) ⊔ b := by
convert symmDiff_triangle a b ⊥ <;> rw [symmDiff_bot]
theorem le_symmDiff_sup_left (a b : α) : b ≤ (a ∆ b) ⊔ a :=
symmDiff_comm a b ▸ le_symmDiff_sup_right ..
end GeneralizedCoheytingAlgebra
section GeneralizedHeytingAlgebra
variable [GeneralizedHeytingAlgebra α] (a b c d : α)
@[simp]
theorem toDual_bihimp : toDual (a ⇔ b) = toDual a ∆ toDual b :=
rfl
#align to_dual_bihimp toDual_bihimp
@[simp]
theorem ofDual_symmDiff (a b : αᵒᵈ) : ofDual (a ∆ b) = ofDual a ⇔ ofDual b :=
rfl
#align of_dual_symm_diff ofDual_symmDiff
theorem bihimp_comm : a ⇔ b = b ⇔ a := by simp only [(· ⇔ ·), inf_comm]
#align bihimp_comm bihimp_comm
instance bihimp_isCommutative : Std.Commutative (α := α) (· ⇔ ·) :=
⟨bihimp_comm⟩
#align bihimp_is_comm bihimp_isCommutative
@[simp]
theorem bihimp_self : a ⇔ a = ⊤ := by rw [bihimp, inf_idem, himp_self]
#align bihimp_self bihimp_self
@[simp]
theorem bihimp_top : a ⇔ ⊤ = a := by rw [bihimp, himp_top, top_himp, inf_top_eq]
#align bihimp_top bihimp_top
@[simp]
theorem top_bihimp : ⊤ ⇔ a = a := by rw [bihimp_comm, bihimp_top]
#align top_bihimp top_bihimp
@[simp]
theorem bihimp_eq_top {a b : α} : a ⇔ b = ⊤ ↔ a = b :=
@symmDiff_eq_bot αᵒᵈ _ _ _
#align bihimp_eq_top bihimp_eq_top
theorem bihimp_of_le {a b : α} (h : a ≤ b) : a ⇔ b = b ⇨ a := by
rw [bihimp, himp_eq_top_iff.2 h, inf_top_eq]
#align bihimp_of_le bihimp_of_le
theorem bihimp_of_ge {a b : α} (h : b ≤ a) : a ⇔ b = a ⇨ b := by
rw [bihimp, himp_eq_top_iff.2 h, top_inf_eq]
#align bihimp_of_ge bihimp_of_ge
theorem le_bihimp {a b c : α} (hb : a ⊓ b ≤ c) (hc : a ⊓ c ≤ b) : a ≤ b ⇔ c :=
le_inf (le_himp_iff.2 hc) <| le_himp_iff.2 hb
#align le_bihimp le_bihimp
theorem le_bihimp_iff {a b c : α} : a ≤ b ⇔ c ↔ a ⊓ b ≤ c ∧ a ⊓ c ≤ b := by
simp_rw [bihimp, le_inf_iff, le_himp_iff, and_comm]
#align le_bihimp_iff le_bihimp_iff
@[simp]
theorem inf_le_bihimp {a b : α} : a ⊓ b ≤ a ⇔ b :=
inf_le_inf le_himp le_himp
#align inf_le_bihimp inf_le_bihimp
theorem bihimp_eq_inf_himp_inf : a ⇔ b = a ⊔ b ⇨ a ⊓ b := by simp [himp_inf_distrib, bihimp]
#align bihimp_eq_inf_himp_inf bihimp_eq_inf_himp_inf
theorem Codisjoint.bihimp_eq_inf {a b : α} (h : Codisjoint a b) : a ⇔ b = a ⊓ b := by
rw [bihimp, h.himp_eq_left, h.himp_eq_right]
#align codisjoint.bihimp_eq_inf Codisjoint.bihimp_eq_inf
theorem himp_bihimp : a ⇨ b ⇔ c = (a ⊓ c ⇨ b) ⊓ (a ⊓ b ⇨ c) := by
rw [bihimp, himp_inf_distrib, himp_himp, himp_himp]
#align himp_bihimp himp_bihimp
@[simp]
theorem sup_himp_bihimp : a ⊔ b ⇨ a ⇔ b = a ⇔ b := by
rw [himp_bihimp]
simp [bihimp]
#align sup_himp_bihimp sup_himp_bihimp
@[simp]
theorem bihimp_himp_eq_inf : a ⇔ (a ⇨ b) = a ⊓ b :=
@symmDiff_sdiff_eq_sup αᵒᵈ _ _ _
#align bihimp_himp_eq_inf bihimp_himp_eq_inf
@[simp]
theorem himp_bihimp_eq_inf : (b ⇨ a) ⇔ b = a ⊓ b :=
@sdiff_symmDiff_eq_sup αᵒᵈ _ _ _
#align himp_bihimp_eq_inf himp_bihimp_eq_inf
@[simp]
theorem bihimp_inf_sup : a ⇔ b ⊓ (a ⊔ b) = a ⊓ b :=
@symmDiff_sup_inf αᵒᵈ _ _ _
#align bihimp_inf_sup bihimp_inf_sup
@[simp]
theorem sup_inf_bihimp : (a ⊔ b) ⊓ a ⇔ b = a ⊓ b :=
@inf_sup_symmDiff αᵒᵈ _ _ _
#align sup_inf_bihimp sup_inf_bihimp
@[simp]
theorem bihimp_bihimp_sup : a ⇔ b ⇔ (a ⊔ b) = a ⊓ b :=
@symmDiff_symmDiff_inf αᵒᵈ _ _ _
#align bihimp_bihimp_sup bihimp_bihimp_sup
@[simp]
theorem sup_bihimp_bihimp : (a ⊔ b) ⇔ (a ⇔ b) = a ⊓ b :=
@inf_symmDiff_symmDiff αᵒᵈ _ _ _
#align sup_bihimp_bihimp sup_bihimp_bihimp
theorem bihimp_triangle : a ⇔ b ⊓ b ⇔ c ≤ a ⇔ c :=
@symmDiff_triangle αᵒᵈ _ _ _ _
#align bihimp_triangle bihimp_triangle
end GeneralizedHeytingAlgebra
section CoheytingAlgebra
variable [CoheytingAlgebra α] (a : α)
@[simp]
theorem symmDiff_top' : a ∆ ⊤ = ￢a := by simp [symmDiff]
#align symm_diff_top' symmDiff_top'
@[simp]
theorem top_symmDiff' : ⊤ ∆ a = ￢a := by simp [symmDiff]
#align top_symm_diff' top_symmDiff'
@[simp]
theorem hnot_symmDiff_self : (￢a) ∆ a = ⊤ := by
rw [eq_top_iff, symmDiff, hnot_sdiff, sup_sdiff_self]
exact Codisjoint.top_le codisjoint_hnot_left
#align hnot_symm_diff_self hnot_symmDiff_self
@[simp]
theorem symmDiff_hnot_self : a ∆ (￢a) = ⊤ := by rw [symmDiff_comm, hnot_symmDiff_self]
#align symm_diff_hnot_self symmDiff_hnot_self
theorem IsCompl.symmDiff_eq_top {a b : α} (h : IsCompl a b) : a ∆ b = ⊤ := by
rw [h.eq_hnot, hnot_symmDiff_self]
#align is_compl.symm_diff_eq_top IsCompl.symmDiff_eq_top
end CoheytingAlgebra
section HeytingAlgebra
variable [HeytingAlgebra α] (a : α)
@[simp]
theorem bihimp_bot : a ⇔ ⊥ = aᶜ := by simp [bihimp]
#align bihimp_bot bihimp_bot
@[simp]
theorem bot_bihimp : ⊥ ⇔ a = aᶜ := by simp [bihimp]
#align bot_bihimp bot_bihimp
@[simp]
theorem compl_bihimp_self : aᶜ ⇔ a = ⊥ :=
@hnot_symmDiff_self αᵒᵈ _ _
#align compl_bihimp_self compl_bihimp_self
@[simp]
theorem bihimp_hnot_self : a ⇔ aᶜ = ⊥ :=
@symmDiff_hnot_self αᵒᵈ _ _
#align bihimp_hnot_self bihimp_hnot_self
theorem IsCompl.bihimp_eq_bot {a b : α} (h : IsCompl a b) : a ⇔ b = ⊥ := by
rw [h.eq_compl, compl_bihimp_self]
#align is_compl.bihimp_eq_bot IsCompl.bihimp_eq_bot
end HeytingAlgebra
section GeneralizedBooleanAlgebra
variable [GeneralizedBooleanAlgebra α] (a b c d : α)
@[simp]
theorem sup_sdiff_symmDiff : (a ⊔ b) \ a ∆ b = a ⊓ b :=
sdiff_eq_symm inf_le_sup (by rw [symmDiff_eq_sup_sdiff_inf])
#align sup_sdiff_symm_diff sup_sdiff_symmDiff
theorem disjoint_symmDiff_inf : Disjoint (a ∆ b) (a ⊓ b) := by
rw [symmDiff_eq_sup_sdiff_inf]
exact disjoint_sdiff_self_left
#align disjoint_symm_diff_inf disjoint_symmDiff_inf
theorem inf_symmDiff_distrib_left : a ⊓ b ∆ c = (a ⊓ b) ∆ (a ⊓ c) := by
rw [symmDiff_eq_sup_sdiff_inf, inf_sdiff_distrib_left, inf_sup_left, inf_inf_distrib_left,
symmDiff_eq_sup_sdiff_inf]
#align inf_symm_diff_distrib_left inf_symmDiff_distrib_left
theorem inf_symmDiff_distrib_right : a ∆ b ⊓ c = (a ⊓ c) ∆ (b ⊓ c) := by
simp_rw [inf_comm _ c, inf_symmDiff_distrib_left]
#align inf_symm_diff_distrib_right inf_symmDiff_distrib_right
theorem sdiff_symmDiff : c \ a ∆ b = c ⊓ a ⊓ b ⊔ c \ a ⊓ c \ b := by
simp only [(· ∆ ·), sdiff_sdiff_sup_sdiff']
#align sdiff_symm_diff sdiff_symmDiff
| Mathlib/Order/SymmDiff.lean | 421 | 422 | theorem sdiff_symmDiff' : c \ a ∆ b = c ⊓ a ⊓ b ⊔ c \ (a ⊔ b) := by |
rw [sdiff_symmDiff, sdiff_sup]
|
/-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov, Patrick Massot, Sébastien Gouëzel
-/
import Mathlib.Order.Interval.Set.Disjoint
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
#align_import measure_theory.integral.interval_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
/-!
# Integral over an interval
In this file we define `∫ x in a..b, f x ∂μ` to be `∫ x in Ioc a b, f x ∂μ` if `a ≤ b` and
`-∫ x in Ioc b a, f x ∂μ` if `b ≤ a`.
## Implementation notes
### Avoiding `if`, `min`, and `max`
In order to avoid `if`s in the definition, we define `IntervalIntegrable f μ a b` as
`integrable_on f (Ioc a b) μ ∧ integrable_on f (Ioc b a) μ`. For any `a`, `b` one of these
intervals is empty and the other coincides with `Set.uIoc a b = Set.Ioc (min a b) (max a b)`.
Similarly, we define `∫ x in a..b, f x ∂μ` to be `∫ x in Ioc a b, f x ∂μ - ∫ x in Ioc b a, f x ∂μ`.
Again, for any `a`, `b` one of these integrals is zero, and the other gives the expected result.
This way some properties can be translated from integrals over sets without dealing with
the cases `a ≤ b` and `b ≤ a` separately.
### Choice of the interval
We use integral over `Set.uIoc a b = Set.Ioc (min a b) (max a b)` instead of one of the other
three possible intervals with the same endpoints for two reasons:
* this way `∫ x in a..b, f x ∂μ + ∫ x in b..c, f x ∂μ = ∫ x in a..c, f x ∂μ` holds whenever
`f` is integrable on each interval; in particular, it works even if the measure `μ` has an atom
at `b`; this rules out `Set.Ioo` and `Set.Icc` intervals;
* with this definition for a probability measure `μ`, the integral `∫ x in a..b, 1 ∂μ` equals
the difference $F_μ(b)-F_μ(a)$, where $F_μ(a)=μ(-∞, a]$ is the
[cumulative distribution function](https://en.wikipedia.org/wiki/Cumulative_distribution_function)
of `μ`.
## Tags
integral
-/
noncomputable section
open scoped Classical
open MeasureTheory Set Filter Function
open scoped Classical Topology Filter ENNReal Interval NNReal
variable {ι 𝕜 E F A : Type*} [NormedAddCommGroup E]
/-!
### Integrability on an interval
-/
/-- A function `f` is called *interval integrable* with respect to a measure `μ` on an unordered
interval `a..b` if it is integrable on both intervals `(a, b]` and `(b, a]`. One of these
intervals is always empty, so this property is equivalent to `f` being integrable on
`(min a b, max a b]`. -/
def IntervalIntegrable (f : ℝ → E) (μ : Measure ℝ) (a b : ℝ) : Prop :=
IntegrableOn f (Ioc a b) μ ∧ IntegrableOn f (Ioc b a) μ
#align interval_integrable IntervalIntegrable
/-!
## Basic iff's for `IntervalIntegrable`
-/
section
variable {f : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
/-- A function is interval integrable with respect to a given measure `μ` on `a..b` if and
only if it is integrable on `uIoc a b` with respect to `μ`. This is an equivalent
definition of `IntervalIntegrable`. -/
theorem intervalIntegrable_iff : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ι a b) μ := by
rw [uIoc_eq_union, integrableOn_union, IntervalIntegrable]
#align interval_integrable_iff intervalIntegrable_iff
/-- If a function is interval integrable with respect to a given measure `μ` on `a..b` then
it is integrable on `uIoc a b` with respect to `μ`. -/
theorem IntervalIntegrable.def' (h : IntervalIntegrable f μ a b) : IntegrableOn f (Ι a b) μ :=
intervalIntegrable_iff.mp h
#align interval_integrable.def IntervalIntegrable.def'
theorem intervalIntegrable_iff_integrableOn_Ioc_of_le (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioc a b) μ := by
rw [intervalIntegrable_iff, uIoc_of_le hab]
#align interval_integrable_iff_integrable_Ioc_of_le intervalIntegrable_iff_integrableOn_Ioc_of_le
theorem intervalIntegrable_iff' [NoAtoms μ] :
IntervalIntegrable f μ a b ↔ IntegrableOn f (uIcc a b) μ := by
rw [intervalIntegrable_iff, ← Icc_min_max, uIoc, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff' intervalIntegrable_iff'
theorem intervalIntegrable_iff_integrableOn_Icc_of_le {f : ℝ → E} {a b : ℝ} (hab : a ≤ b)
{μ : Measure ℝ} [NoAtoms μ] : IntervalIntegrable f μ a b ↔ IntegrableOn f (Icc a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff_integrable_Icc_of_le intervalIntegrable_iff_integrableOn_Icc_of_le
theorem intervalIntegrable_iff_integrableOn_Ico_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ico a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ico]
theorem intervalIntegrable_iff_integrableOn_Ioo_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioo a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioo]
/-- If a function is integrable with respect to a given measure `μ` then it is interval integrable
with respect to `μ` on `uIcc a b`. -/
theorem MeasureTheory.Integrable.intervalIntegrable (hf : Integrable f μ) :
IntervalIntegrable f μ a b :=
⟨hf.integrableOn, hf.integrableOn⟩
#align measure_theory.integrable.interval_integrable MeasureTheory.Integrable.intervalIntegrable
theorem MeasureTheory.IntegrableOn.intervalIntegrable (hf : IntegrableOn f [[a, b]] μ) :
IntervalIntegrable f μ a b :=
⟨MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc),
MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc')⟩
#align measure_theory.integrable_on.interval_integrable MeasureTheory.IntegrableOn.intervalIntegrable
theorem intervalIntegrable_const_iff {c : E} :
IntervalIntegrable (fun _ => c) μ a b ↔ c = 0 ∨ μ (Ι a b) < ∞ := by
simp only [intervalIntegrable_iff, integrableOn_const]
#align interval_integrable_const_iff intervalIntegrable_const_iff
@[simp]
theorem intervalIntegrable_const [IsLocallyFiniteMeasure μ] {c : E} :
IntervalIntegrable (fun _ => c) μ a b :=
intervalIntegrable_const_iff.2 <| Or.inr measure_Ioc_lt_top
#align interval_integrable_const intervalIntegrable_const
end
/-!
## Basic properties of interval integrability
- interval integrability is symmetric, reflexive, transitive
- monotonicity and strong measurability of the interval integral
- if `f` is interval integrable, so are its absolute value and norm
- arithmetic properties
-/
namespace IntervalIntegrable
section
variable {f : ℝ → E} {a b c d : ℝ} {μ ν : Measure ℝ}
@[symm]
nonrec theorem symm (h : IntervalIntegrable f μ a b) : IntervalIntegrable f μ b a :=
h.symm
#align interval_integrable.symm IntervalIntegrable.symm
@[refl, simp] -- Porting note: added `simp`
theorem refl : IntervalIntegrable f μ a a := by constructor <;> simp
#align interval_integrable.refl IntervalIntegrable.refl
@[trans]
theorem trans {a b c : ℝ} (hab : IntervalIntegrable f μ a b) (hbc : IntervalIntegrable f μ b c) :
IntervalIntegrable f μ a c :=
⟨(hab.1.union hbc.1).mono_set Ioc_subset_Ioc_union_Ioc,
(hbc.2.union hab.2).mono_set Ioc_subset_Ioc_union_Ioc⟩
#align interval_integrable.trans IntervalIntegrable.trans
theorem trans_iterate_Ico {a : ℕ → ℝ} {m n : ℕ} (hmn : m ≤ n)
(hint : ∀ k ∈ Ico m n, IntervalIntegrable f μ (a k) (a <| k + 1)) :
IntervalIntegrable f μ (a m) (a n) := by
revert hint
refine Nat.le_induction ?_ ?_ n hmn
· simp
· intro p hp IH h
exact (IH fun k hk => h k (Ico_subset_Ico_right p.le_succ hk)).trans (h p (by simp [hp]))
#align interval_integrable.trans_iterate_Ico IntervalIntegrable.trans_iterate_Ico
theorem trans_iterate {a : ℕ → ℝ} {n : ℕ}
(hint : ∀ k < n, IntervalIntegrable f μ (a k) (a <| k + 1)) :
IntervalIntegrable f μ (a 0) (a n) :=
trans_iterate_Ico bot_le fun k hk => hint k hk.2
#align interval_integrable.trans_iterate IntervalIntegrable.trans_iterate
theorem neg (h : IntervalIntegrable f μ a b) : IntervalIntegrable (-f) μ a b :=
⟨h.1.neg, h.2.neg⟩
#align interval_integrable.neg IntervalIntegrable.neg
theorem norm (h : IntervalIntegrable f μ a b) : IntervalIntegrable (fun x => ‖f x‖) μ a b :=
⟨h.1.norm, h.2.norm⟩
#align interval_integrable.norm IntervalIntegrable.norm
theorem intervalIntegrable_norm_iff {f : ℝ → E} {μ : Measure ℝ} {a b : ℝ}
(hf : AEStronglyMeasurable f (μ.restrict (Ι a b))) :
IntervalIntegrable (fun t => ‖f t‖) μ a b ↔ IntervalIntegrable f μ a b := by
simp_rw [intervalIntegrable_iff, IntegrableOn]; exact integrable_norm_iff hf
#align interval_integrable.interval_integrable_norm_iff IntervalIntegrable.intervalIntegrable_norm_iff
theorem abs {f : ℝ → ℝ} (h : IntervalIntegrable f μ a b) :
IntervalIntegrable (fun x => |f x|) μ a b :=
h.norm
#align interval_integrable.abs IntervalIntegrable.abs
theorem mono (hf : IntervalIntegrable f ν a b) (h1 : [[c, d]] ⊆ [[a, b]]) (h2 : μ ≤ ν) :
IntervalIntegrable f μ c d :=
intervalIntegrable_iff.mpr <| hf.def'.mono (uIoc_subset_uIoc_of_uIcc_subset_uIcc h1) h2
#align interval_integrable.mono IntervalIntegrable.mono
theorem mono_measure (hf : IntervalIntegrable f ν a b) (h : μ ≤ ν) : IntervalIntegrable f μ a b :=
hf.mono Subset.rfl h
#align interval_integrable.mono_measure IntervalIntegrable.mono_measure
theorem mono_set (hf : IntervalIntegrable f μ a b) (h : [[c, d]] ⊆ [[a, b]]) :
IntervalIntegrable f μ c d :=
hf.mono h le_rfl
#align interval_integrable.mono_set IntervalIntegrable.mono_set
theorem mono_set_ae (hf : IntervalIntegrable f μ a b) (h : Ι c d ≤ᵐ[μ] Ι a b) :
IntervalIntegrable f μ c d :=
intervalIntegrable_iff.mpr <| hf.def'.mono_set_ae h
#align interval_integrable.mono_set_ae IntervalIntegrable.mono_set_ae
theorem mono_set' (hf : IntervalIntegrable f μ a b) (hsub : Ι c d ⊆ Ι a b) :
IntervalIntegrable f μ c d :=
hf.mono_set_ae <| eventually_of_forall hsub
#align interval_integrable.mono_set' IntervalIntegrable.mono_set'
theorem mono_fun [NormedAddCommGroup F] {g : ℝ → F} (hf : IntervalIntegrable f μ a b)
(hgm : AEStronglyMeasurable g (μ.restrict (Ι a b)))
(hle : (fun x => ‖g x‖) ≤ᵐ[μ.restrict (Ι a b)] fun x => ‖f x‖) : IntervalIntegrable g μ a b :=
intervalIntegrable_iff.2 <| hf.def'.integrable.mono hgm hle
#align interval_integrable.mono_fun IntervalIntegrable.mono_fun
theorem mono_fun' {g : ℝ → ℝ} (hg : IntervalIntegrable g μ a b)
(hfm : AEStronglyMeasurable f (μ.restrict (Ι a b)))
(hle : (fun x => ‖f x‖) ≤ᵐ[μ.restrict (Ι a b)] g) : IntervalIntegrable f μ a b :=
intervalIntegrable_iff.2 <| hg.def'.integrable.mono' hfm hle
#align interval_integrable.mono_fun' IntervalIntegrable.mono_fun'
protected theorem aestronglyMeasurable (h : IntervalIntegrable f μ a b) :
AEStronglyMeasurable f (μ.restrict (Ioc a b)) :=
h.1.aestronglyMeasurable
#align interval_integrable.ae_strongly_measurable IntervalIntegrable.aestronglyMeasurable
protected theorem aestronglyMeasurable' (h : IntervalIntegrable f μ a b) :
AEStronglyMeasurable f (μ.restrict (Ioc b a)) :=
h.2.aestronglyMeasurable
#align interval_integrable.ae_strongly_measurable' IntervalIntegrable.aestronglyMeasurable'
end
variable [NormedRing A] {f g : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
theorem smul [NormedField 𝕜] [NormedSpace 𝕜 E] {f : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
(h : IntervalIntegrable f μ a b) (r : 𝕜) : IntervalIntegrable (r • f) μ a b :=
⟨h.1.smul r, h.2.smul r⟩
#align interval_integrable.smul IntervalIntegrable.smul
@[simp]
theorem add (hf : IntervalIntegrable f μ a b) (hg : IntervalIntegrable g μ a b) :
IntervalIntegrable (fun x => f x + g x) μ a b :=
⟨hf.1.add hg.1, hf.2.add hg.2⟩
#align interval_integrable.add IntervalIntegrable.add
@[simp]
theorem sub (hf : IntervalIntegrable f μ a b) (hg : IntervalIntegrable g μ a b) :
IntervalIntegrable (fun x => f x - g x) μ a b :=
⟨hf.1.sub hg.1, hf.2.sub hg.2⟩
#align interval_integrable.sub IntervalIntegrable.sub
theorem sum (s : Finset ι) {f : ι → ℝ → E} (h : ∀ i ∈ s, IntervalIntegrable (f i) μ a b) :
IntervalIntegrable (∑ i ∈ s, f i) μ a b :=
⟨integrable_finset_sum' s fun i hi => (h i hi).1, integrable_finset_sum' s fun i hi => (h i hi).2⟩
#align interval_integrable.sum IntervalIntegrable.sum
theorem mul_continuousOn {f g : ℝ → A} (hf : IntervalIntegrable f μ a b)
(hg : ContinuousOn g [[a, b]]) : IntervalIntegrable (fun x => f x * g x) μ a b := by
rw [intervalIntegrable_iff] at hf ⊢
exact hf.mul_continuousOn_of_subset hg measurableSet_Ioc isCompact_uIcc Ioc_subset_Icc_self
#align interval_integrable.mul_continuous_on IntervalIntegrable.mul_continuousOn
theorem continuousOn_mul {f g : ℝ → A} (hf : IntervalIntegrable f μ a b)
(hg : ContinuousOn g [[a, b]]) : IntervalIntegrable (fun x => g x * f x) μ a b := by
rw [intervalIntegrable_iff] at hf ⊢
exact hf.continuousOn_mul_of_subset hg isCompact_uIcc measurableSet_Ioc Ioc_subset_Icc_self
#align interval_integrable.continuous_on_mul IntervalIntegrable.continuousOn_mul
@[simp]
theorem const_mul {f : ℝ → A} (hf : IntervalIntegrable f μ a b) (c : A) :
IntervalIntegrable (fun x => c * f x) μ a b :=
hf.continuousOn_mul continuousOn_const
#align interval_integrable.const_mul IntervalIntegrable.const_mul
@[simp]
theorem mul_const {f : ℝ → A} (hf : IntervalIntegrable f μ a b) (c : A) :
IntervalIntegrable (fun x => f x * c) μ a b :=
hf.mul_continuousOn continuousOn_const
#align interval_integrable.mul_const IntervalIntegrable.mul_const
@[simp]
theorem div_const {𝕜 : Type*} {f : ℝ → 𝕜} [NormedField 𝕜] (h : IntervalIntegrable f μ a b)
(c : 𝕜) : IntervalIntegrable (fun x => f x / c) μ a b := by
simpa only [div_eq_mul_inv] using mul_const h c⁻¹
#align interval_integrable.div_const IntervalIntegrable.div_const
theorem comp_mul_left (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (c * x)) volume (a / c) (b / c) := by
rcases eq_or_ne c 0 with (hc | hc); · rw [hc]; simp
rw [intervalIntegrable_iff'] at hf ⊢
have A : MeasurableEmbedding fun x => x * c⁻¹ :=
(Homeomorph.mulRight₀ _ (inv_ne_zero hc)).closedEmbedding.measurableEmbedding
rw [← Real.smul_map_volume_mul_right (inv_ne_zero hc), IntegrableOn, Measure.restrict_smul,
integrable_smul_measure (by simpa : ENNReal.ofReal |c⁻¹| ≠ 0) ENNReal.ofReal_ne_top,
← IntegrableOn, MeasurableEmbedding.integrableOn_map_iff A]
convert hf using 1
· ext; simp only [comp_apply]; congr 1; field_simp
· rw [preimage_mul_const_uIcc (inv_ne_zero hc)]; field_simp [hc]
#align interval_integrable.comp_mul_left IntervalIntegrable.comp_mul_left
-- Porting note (#10756): new lemma
theorem comp_mul_left_iff {c : ℝ} (hc : c ≠ 0) :
IntervalIntegrable (fun x ↦ f (c * x)) volume (a / c) (b / c) ↔
IntervalIntegrable f volume a b :=
⟨fun h ↦ by simpa [hc] using h.comp_mul_left c⁻¹, (comp_mul_left · c)⟩
theorem comp_mul_right (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (x * c)) volume (a / c) (b / c) := by
simpa only [mul_comm] using comp_mul_left hf c
#align interval_integrable.comp_mul_right IntervalIntegrable.comp_mul_right
theorem comp_add_right (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (x + c)) volume (a - c) (b - c) := by
wlog h : a ≤ b generalizing a b
· exact IntervalIntegrable.symm (this hf.symm (le_of_not_le h))
rw [intervalIntegrable_iff'] at hf ⊢
have A : MeasurableEmbedding fun x => x + c :=
(Homeomorph.addRight c).closedEmbedding.measurableEmbedding
rw [← map_add_right_eq_self volume c] at hf
convert (MeasurableEmbedding.integrableOn_map_iff A).mp hf using 1
rw [preimage_add_const_uIcc]
#align interval_integrable.comp_add_right IntervalIntegrable.comp_add_right
theorem comp_add_left (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (c + x)) volume (a - c) (b - c) := by
simpa only [add_comm] using IntervalIntegrable.comp_add_right hf c
#align interval_integrable.comp_add_left IntervalIntegrable.comp_add_left
theorem comp_sub_right (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (x - c)) volume (a + c) (b + c) := by
simpa only [sub_neg_eq_add] using IntervalIntegrable.comp_add_right hf (-c)
#align interval_integrable.comp_sub_right IntervalIntegrable.comp_sub_right
theorem iff_comp_neg :
IntervalIntegrable f volume a b ↔ IntervalIntegrable (fun x => f (-x)) volume (-a) (-b) := by
rw [← comp_mul_left_iff (neg_ne_zero.2 one_ne_zero)]; simp [div_neg]
#align interval_integrable.iff_comp_neg IntervalIntegrable.iff_comp_neg
theorem comp_sub_left (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (c - x)) volume (c - a) (c - b) := by
simpa only [neg_sub, ← sub_eq_add_neg] using iff_comp_neg.mp (hf.comp_add_left c)
#align interval_integrable.comp_sub_left IntervalIntegrable.comp_sub_left
end IntervalIntegrable
/-!
## Continuous functions are interval integrable
-/
section
variable {μ : Measure ℝ} [IsLocallyFiniteMeasure μ]
theorem ContinuousOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : ContinuousOn u (uIcc a b)) :
IntervalIntegrable u μ a b :=
(ContinuousOn.integrableOn_Icc hu).intervalIntegrable
#align continuous_on.interval_integrable ContinuousOn.intervalIntegrable
theorem ContinuousOn.intervalIntegrable_of_Icc {u : ℝ → E} {a b : ℝ} (h : a ≤ b)
(hu : ContinuousOn u (Icc a b)) : IntervalIntegrable u μ a b :=
ContinuousOn.intervalIntegrable ((uIcc_of_le h).symm ▸ hu)
#align continuous_on.interval_integrable_of_Icc ContinuousOn.intervalIntegrable_of_Icc
/-- A continuous function on `ℝ` is `IntervalIntegrable` with respect to any locally finite measure
`ν` on ℝ. -/
theorem Continuous.intervalIntegrable {u : ℝ → E} (hu : Continuous u) (a b : ℝ) :
IntervalIntegrable u μ a b :=
hu.continuousOn.intervalIntegrable
#align continuous.interval_integrable Continuous.intervalIntegrable
end
/-!
## Monotone and antitone functions are integral integrable
-/
section
variable {μ : Measure ℝ} [IsLocallyFiniteMeasure μ] [ConditionallyCompleteLinearOrder E]
[OrderTopology E] [SecondCountableTopology E]
theorem MonotoneOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : MonotoneOn u (uIcc a b)) :
IntervalIntegrable u μ a b := by
rw [intervalIntegrable_iff]
exact (hu.integrableOn_isCompact isCompact_uIcc).mono_set Ioc_subset_Icc_self
#align monotone_on.interval_integrable MonotoneOn.intervalIntegrable
theorem AntitoneOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : AntitoneOn u (uIcc a b)) :
IntervalIntegrable u μ a b :=
hu.dual_right.intervalIntegrable
#align antitone_on.interval_integrable AntitoneOn.intervalIntegrable
theorem Monotone.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : Monotone u) :
IntervalIntegrable u μ a b :=
(hu.monotoneOn _).intervalIntegrable
#align monotone.interval_integrable Monotone.intervalIntegrable
theorem Antitone.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : Antitone u) :
IntervalIntegrable u μ a b :=
(hu.antitoneOn _).intervalIntegrable
#align antitone.interval_integrable Antitone.intervalIntegrable
end
/-- Let `l'` be a measurably generated filter; let `l` be a of filter such that each `s ∈ l'`
eventually includes `Ioc u v` as both `u` and `v` tend to `l`. Let `μ` be a measure finite at `l'`.
Suppose that `f : ℝ → E` has a finite limit at `l' ⊓ ae μ`. Then `f` is interval integrable on
`u..v` provided that both `u` and `v` tend to `l`.
Typeclass instances allow Lean to find `l'` based on `l` but not vice versa, so
`apply Tendsto.eventually_intervalIntegrable_ae` will generate goals `Filter ℝ` and
`TendstoIxxClass Ioc ?m_1 l'`. -/
theorem Filter.Tendsto.eventually_intervalIntegrable_ae {f : ℝ → E} {μ : Measure ℝ}
{l l' : Filter ℝ} (hfm : StronglyMeasurableAtFilter f l' μ) [TendstoIxxClass Ioc l l']
[IsMeasurablyGenerated l'] (hμ : μ.FiniteAtFilter l') {c : E} (hf : Tendsto f (l' ⊓ ae μ) (𝓝 c))
{u v : ι → ℝ} {lt : Filter ι} (hu : Tendsto u lt l) (hv : Tendsto v lt l) :
∀ᶠ t in lt, IntervalIntegrable f μ (u t) (v t) :=
have := (hf.integrableAtFilter_ae hfm hμ).eventually
((hu.Ioc hv).eventually this).and <| (hv.Ioc hu).eventually this
#align filter.tendsto.eventually_interval_integrable_ae Filter.Tendsto.eventually_intervalIntegrable_ae
/-- Let `l'` be a measurably generated filter; let `l` be a of filter such that each `s ∈ l'`
eventually includes `Ioc u v` as both `u` and `v` tend to `l`. Let `μ` be a measure finite at `l'`.
Suppose that `f : ℝ → E` has a finite limit at `l`. Then `f` is interval integrable on `u..v`
provided that both `u` and `v` tend to `l`.
Typeclass instances allow Lean to find `l'` based on `l` but not vice versa, so
`apply Tendsto.eventually_intervalIntegrable` will generate goals `Filter ℝ` and
`TendstoIxxClass Ioc ?m_1 l'`. -/
theorem Filter.Tendsto.eventually_intervalIntegrable {f : ℝ → E} {μ : Measure ℝ} {l l' : Filter ℝ}
(hfm : StronglyMeasurableAtFilter f l' μ) [TendstoIxxClass Ioc l l'] [IsMeasurablyGenerated l']
(hμ : μ.FiniteAtFilter l') {c : E} (hf : Tendsto f l' (𝓝 c)) {u v : ι → ℝ} {lt : Filter ι}
(hu : Tendsto u lt l) (hv : Tendsto v lt l) : ∀ᶠ t in lt, IntervalIntegrable f μ (u t) (v t) :=
(hf.mono_left inf_le_left).eventually_intervalIntegrable_ae hfm hμ hu hv
#align filter.tendsto.eventually_interval_integrable Filter.Tendsto.eventually_intervalIntegrable
/-!
### Interval integral: definition and basic properties
In this section we define `∫ x in a..b, f x ∂μ` as `∫ x in Ioc a b, f x ∂μ - ∫ x in Ioc b a, f x ∂μ`
and prove some basic properties.
-/
variable [CompleteSpace E] [NormedSpace ℝ E]
/-- The interval integral `∫ x in a..b, f x ∂μ` is defined
as `∫ x in Ioc a b, f x ∂μ - ∫ x in Ioc b a, f x ∂μ`. If `a ≤ b`, then it equals
`∫ x in Ioc a b, f x ∂μ`, otherwise it equals `-∫ x in Ioc b a, f x ∂μ`. -/
def intervalIntegral (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) : E :=
(∫ x in Ioc a b, f x ∂μ) - ∫ x in Ioc b a, f x ∂μ
#align interval_integral intervalIntegral
notation3"∫ "(...)" in "a".."b", "r:60:(scoped f => f)" ∂"μ:70 => intervalIntegral r a b μ
notation3"∫ "(...)" in "a".."b", "r:60:(scoped f => intervalIntegral f a b volume) => r
namespace intervalIntegral
section Basic
variable {a b : ℝ} {f g : ℝ → E} {μ : Measure ℝ}
@[simp]
theorem integral_zero : (∫ _ in a..b, (0 : E) ∂μ) = 0 := by simp [intervalIntegral]
#align interval_integral.integral_zero intervalIntegral.integral_zero
theorem integral_of_le (h : a ≤ b) : ∫ x in a..b, f x ∂μ = ∫ x in Ioc a b, f x ∂μ := by
simp [intervalIntegral, h]
#align interval_integral.integral_of_le intervalIntegral.integral_of_le
@[simp]
theorem integral_same : ∫ x in a..a, f x ∂μ = 0 :=
sub_self _
#align interval_integral.integral_same intervalIntegral.integral_same
theorem integral_symm (a b) : ∫ x in b..a, f x ∂μ = -∫ x in a..b, f x ∂μ := by
simp only [intervalIntegral, neg_sub]
#align interval_integral.integral_symm intervalIntegral.integral_symm
theorem integral_of_ge (h : b ≤ a) : ∫ x in a..b, f x ∂μ = -∫ x in Ioc b a, f x ∂μ := by
simp only [integral_symm b, integral_of_le h]
#align interval_integral.integral_of_ge intervalIntegral.integral_of_ge
theorem intervalIntegral_eq_integral_uIoc (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) :
∫ x in a..b, f x ∂μ = (if a ≤ b then 1 else -1 : ℝ) • ∫ x in Ι a b, f x ∂μ := by
split_ifs with h
· simp only [integral_of_le h, uIoc_of_le h, one_smul]
· simp only [integral_of_ge (not_le.1 h).le, uIoc_of_lt (not_le.1 h), neg_one_smul]
#align interval_integral.interval_integral_eq_integral_uIoc intervalIntegral.intervalIntegral_eq_integral_uIoc
theorem norm_intervalIntegral_eq (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) :
‖∫ x in a..b, f x ∂μ‖ = ‖∫ x in Ι a b, f x ∂μ‖ := by
simp_rw [intervalIntegral_eq_integral_uIoc, norm_smul]
split_ifs <;> simp only [norm_neg, norm_one, one_mul]
#align interval_integral.norm_interval_integral_eq intervalIntegral.norm_intervalIntegral_eq
theorem abs_intervalIntegral_eq (f : ℝ → ℝ) (a b : ℝ) (μ : Measure ℝ) :
|∫ x in a..b, f x ∂μ| = |∫ x in Ι a b, f x ∂μ| :=
norm_intervalIntegral_eq f a b μ
#align interval_integral.abs_interval_integral_eq intervalIntegral.abs_intervalIntegral_eq
theorem integral_cases (f : ℝ → E) (a b) :
(∫ x in a..b, f x ∂μ) ∈ ({∫ x in Ι a b, f x ∂μ, -∫ x in Ι a b, f x ∂μ} : Set E) := by
rw [intervalIntegral_eq_integral_uIoc]; split_ifs <;> simp
#align interval_integral.integral_cases intervalIntegral.integral_cases
nonrec theorem integral_undef (h : ¬IntervalIntegrable f μ a b) : ∫ x in a..b, f x ∂μ = 0 := by
rw [intervalIntegrable_iff] at h
rw [intervalIntegral_eq_integral_uIoc, integral_undef h, smul_zero]
#align interval_integral.integral_undef intervalIntegral.integral_undef
theorem intervalIntegrable_of_integral_ne_zero {a b : ℝ} {f : ℝ → E} {μ : Measure ℝ}
(h : (∫ x in a..b, f x ∂μ) ≠ 0) : IntervalIntegrable f μ a b :=
not_imp_comm.1 integral_undef h
#align interval_integral.interval_integrable_of_integral_ne_zero intervalIntegral.intervalIntegrable_of_integral_ne_zero
nonrec theorem integral_non_aestronglyMeasurable
(hf : ¬AEStronglyMeasurable f (μ.restrict (Ι a b))) :
∫ x in a..b, f x ∂μ = 0 := by
rw [intervalIntegral_eq_integral_uIoc, integral_non_aestronglyMeasurable hf, smul_zero]
#align interval_integral.integral_non_ae_strongly_measurable intervalIntegral.integral_non_aestronglyMeasurable
theorem integral_non_aestronglyMeasurable_of_le (h : a ≤ b)
(hf : ¬AEStronglyMeasurable f (μ.restrict (Ioc a b))) : ∫ x in a..b, f x ∂μ = 0 :=
integral_non_aestronglyMeasurable <| by rwa [uIoc_of_le h]
#align interval_integral.integral_non_ae_strongly_measurable_of_le intervalIntegral.integral_non_aestronglyMeasurable_of_le
theorem norm_integral_min_max (f : ℝ → E) :
‖∫ x in min a b..max a b, f x ∂μ‖ = ‖∫ x in a..b, f x ∂μ‖ := by
cases le_total a b <;> simp [*, integral_symm a b]
#align interval_integral.norm_integral_min_max intervalIntegral.norm_integral_min_max
theorem norm_integral_eq_norm_integral_Ioc (f : ℝ → E) :
‖∫ x in a..b, f x ∂μ‖ = ‖∫ x in Ι a b, f x ∂μ‖ := by
rw [← norm_integral_min_max, integral_of_le min_le_max, uIoc]
#align interval_integral.norm_integral_eq_norm_integral_Ioc intervalIntegral.norm_integral_eq_norm_integral_Ioc
theorem abs_integral_eq_abs_integral_uIoc (f : ℝ → ℝ) :
|∫ x in a..b, f x ∂μ| = |∫ x in Ι a b, f x ∂μ| :=
norm_integral_eq_norm_integral_Ioc f
#align interval_integral.abs_integral_eq_abs_integral_uIoc intervalIntegral.abs_integral_eq_abs_integral_uIoc
theorem norm_integral_le_integral_norm_Ioc : ‖∫ x in a..b, f x ∂μ‖ ≤ ∫ x in Ι a b, ‖f x‖ ∂μ :=
calc
‖∫ x in a..b, f x ∂μ‖ = ‖∫ x in Ι a b, f x ∂μ‖ := norm_integral_eq_norm_integral_Ioc f
_ ≤ ∫ x in Ι a b, ‖f x‖ ∂μ := norm_integral_le_integral_norm f
#align interval_integral.norm_integral_le_integral_norm_Ioc intervalIntegral.norm_integral_le_integral_norm_Ioc
theorem norm_integral_le_abs_integral_norm : ‖∫ x in a..b, f x ∂μ‖ ≤ |∫ x in a..b, ‖f x‖ ∂μ| := by
simp only [← Real.norm_eq_abs, norm_integral_eq_norm_integral_Ioc]
exact le_trans (norm_integral_le_integral_norm _) (le_abs_self _)
#align interval_integral.norm_integral_le_abs_integral_norm intervalIntegral.norm_integral_le_abs_integral_norm
theorem norm_integral_le_integral_norm (h : a ≤ b) :
‖∫ x in a..b, f x ∂μ‖ ≤ ∫ x in a..b, ‖f x‖ ∂μ :=
norm_integral_le_integral_norm_Ioc.trans_eq <| by rw [uIoc_of_le h, integral_of_le h]
#align interval_integral.norm_integral_le_integral_norm intervalIntegral.norm_integral_le_integral_norm
nonrec theorem norm_integral_le_of_norm_le {g : ℝ → ℝ} (h : ∀ᵐ t ∂μ.restrict <| Ι a b, ‖f t‖ ≤ g t)
(hbound : IntervalIntegrable g μ a b) : ‖∫ t in a..b, f t ∂μ‖ ≤ |∫ t in a..b, g t ∂μ| := by
simp_rw [norm_intervalIntegral_eq, abs_intervalIntegral_eq,
abs_eq_self.mpr (integral_nonneg_of_ae <| h.mono fun _t ht => (norm_nonneg _).trans ht),
norm_integral_le_of_norm_le hbound.def' h]
#align interval_integral.norm_integral_le_of_norm_le intervalIntegral.norm_integral_le_of_norm_le
theorem norm_integral_le_of_norm_le_const_ae {a b C : ℝ} {f : ℝ → E}
(h : ∀ᵐ x, x ∈ Ι a b → ‖f x‖ ≤ C) : ‖∫ x in a..b, f x‖ ≤ C * |b - a| := by
rw [norm_integral_eq_norm_integral_Ioc]
convert norm_setIntegral_le_of_norm_le_const_ae'' _ measurableSet_Ioc h using 1
· rw [Real.volume_Ioc, max_sub_min_eq_abs, ENNReal.toReal_ofReal (abs_nonneg _)]
· simp only [Real.volume_Ioc, ENNReal.ofReal_lt_top]
#align interval_integral.norm_integral_le_of_norm_le_const_ae intervalIntegral.norm_integral_le_of_norm_le_const_ae
theorem norm_integral_le_of_norm_le_const {a b C : ℝ} {f : ℝ → E} (h : ∀ x ∈ Ι a b, ‖f x‖ ≤ C) :
‖∫ x in a..b, f x‖ ≤ C * |b - a| :=
norm_integral_le_of_norm_le_const_ae <| eventually_of_forall h
#align interval_integral.norm_integral_le_of_norm_le_const intervalIntegral.norm_integral_le_of_norm_le_const
@[simp]
nonrec theorem integral_add (hf : IntervalIntegrable f μ a b) (hg : IntervalIntegrable g μ a b) :
∫ x in a..b, f x + g x ∂μ = (∫ x in a..b, f x ∂μ) + ∫ x in a..b, g x ∂μ := by
simp only [intervalIntegral_eq_integral_uIoc, integral_add hf.def' hg.def', smul_add]
#align interval_integral.integral_add intervalIntegral.integral_add
nonrec theorem integral_finset_sum {ι} {s : Finset ι} {f : ι → ℝ → E}
(h : ∀ i ∈ s, IntervalIntegrable (f i) μ a b) :
∫ x in a..b, ∑ i ∈ s, f i x ∂μ = ∑ i ∈ s, ∫ x in a..b, f i x ∂μ := by
simp only [intervalIntegral_eq_integral_uIoc, integral_finset_sum s fun i hi => (h i hi).def',
Finset.smul_sum]
#align interval_integral.integral_finset_sum intervalIntegral.integral_finset_sum
@[simp]
nonrec theorem integral_neg : ∫ x in a..b, -f x ∂μ = -∫ x in a..b, f x ∂μ := by
simp only [intervalIntegral, integral_neg]; abel
#align interval_integral.integral_neg intervalIntegral.integral_neg
@[simp]
theorem integral_sub (hf : IntervalIntegrable f μ a b) (hg : IntervalIntegrable g μ a b) :
∫ x in a..b, f x - g x ∂μ = (∫ x in a..b, f x ∂μ) - ∫ x in a..b, g x ∂μ := by
simpa only [sub_eq_add_neg] using (integral_add hf hg.neg).trans (congr_arg _ integral_neg)
#align interval_integral.integral_sub intervalIntegral.integral_sub
@[simp]
nonrec theorem integral_smul {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E]
[SMulCommClass ℝ 𝕜 E] (r : 𝕜) (f : ℝ → E) :
∫ x in a..b, r • f x ∂μ = r • ∫ x in a..b, f x ∂μ := by
simp only [intervalIntegral, integral_smul, smul_sub]
#align interval_integral.integral_smul intervalIntegral.integral_smul
@[simp]
nonrec theorem integral_smul_const {𝕜 : Type*} [RCLike 𝕜] [NormedSpace 𝕜 E] (f : ℝ → 𝕜) (c : E) :
∫ x in a..b, f x • c ∂μ = (∫ x in a..b, f x ∂μ) • c := by
simp only [intervalIntegral_eq_integral_uIoc, integral_smul_const, smul_assoc]
#align interval_integral.integral_smul_const intervalIntegral.integral_smul_const
@[simp]
theorem integral_const_mul {𝕜 : Type*} [RCLike 𝕜] (r : 𝕜) (f : ℝ → 𝕜) :
∫ x in a..b, r * f x ∂μ = r * ∫ x in a..b, f x ∂μ :=
integral_smul r f
#align interval_integral.integral_const_mul intervalIntegral.integral_const_mul
@[simp]
theorem integral_mul_const {𝕜 : Type*} [RCLike 𝕜] (r : 𝕜) (f : ℝ → 𝕜) :
∫ x in a..b, f x * r ∂μ = (∫ x in a..b, f x ∂μ) * r := by
simpa only [mul_comm r] using integral_const_mul r f
#align interval_integral.integral_mul_const intervalIntegral.integral_mul_const
@[simp]
theorem integral_div {𝕜 : Type*} [RCLike 𝕜] (r : 𝕜) (f : ℝ → 𝕜) :
∫ x in a..b, f x / r ∂μ = (∫ x in a..b, f x ∂μ) / r := by
simpa only [div_eq_mul_inv] using integral_mul_const r⁻¹ f
#align interval_integral.integral_div intervalIntegral.integral_div
theorem integral_const' (c : E) :
∫ _ in a..b, c ∂μ = ((μ <| Ioc a b).toReal - (μ <| Ioc b a).toReal) • c := by
simp only [intervalIntegral, setIntegral_const, sub_smul]
#align interval_integral.integral_const' intervalIntegral.integral_const'
@[simp]
theorem integral_const (c : E) : ∫ _ in a..b, c = (b - a) • c := by
simp only [integral_const', Real.volume_Ioc, ENNReal.toReal_ofReal', ← neg_sub b,
max_zero_sub_eq_self]
#align interval_integral.integral_const intervalIntegral.integral_const
nonrec theorem integral_smul_measure (c : ℝ≥0∞) :
∫ x in a..b, f x ∂c • μ = c.toReal • ∫ x in a..b, f x ∂μ := by
simp only [intervalIntegral, Measure.restrict_smul, integral_smul_measure, smul_sub]
#align interval_integral.integral_smul_measure intervalIntegral.integral_smul_measure
end Basic
-- Porting note (#11215): TODO: add `Complex.ofReal` version of `_root_.integral_ofReal`
nonrec theorem _root_.RCLike.intervalIntegral_ofReal {𝕜 : Type*} [RCLike 𝕜] {a b : ℝ}
{μ : Measure ℝ} {f : ℝ → ℝ} : (∫ x in a..b, (f x : 𝕜) ∂μ) = ↑(∫ x in a..b, f x ∂μ) := by
simp only [intervalIntegral, integral_ofReal, RCLike.ofReal_sub]
@[deprecated (since := "2024-04-06")]
alias RCLike.interval_integral_ofReal := RCLike.intervalIntegral_ofReal
nonrec theorem integral_ofReal {a b : ℝ} {μ : Measure ℝ} {f : ℝ → ℝ} :
(∫ x in a..b, (f x : ℂ) ∂μ) = ↑(∫ x in a..b, f x ∂μ) :=
RCLike.intervalIntegral_ofReal
#align interval_integral.integral_of_real intervalIntegral.integral_ofReal
section ContinuousLinearMap
variable {a b : ℝ} {μ : Measure ℝ} {f : ℝ → E}
variable [RCLike 𝕜] [NormedSpace 𝕜 E] [NormedAddCommGroup F] [NormedSpace 𝕜 F]
open ContinuousLinearMap
theorem _root_.ContinuousLinearMap.intervalIntegral_apply {a b : ℝ} {φ : ℝ → F →L[𝕜] E}
(hφ : IntervalIntegrable φ μ a b) (v : F) :
(∫ x in a..b, φ x ∂μ) v = ∫ x in a..b, φ x v ∂μ := by
simp_rw [intervalIntegral_eq_integral_uIoc, ← integral_apply hφ.def' v, coe_smul', Pi.smul_apply]
#align continuous_linear_map.interval_integral_apply ContinuousLinearMap.intervalIntegral_apply
variable [NormedSpace ℝ F] [CompleteSpace F]
theorem _root_.ContinuousLinearMap.intervalIntegral_comp_comm (L : E →L[𝕜] F)
(hf : IntervalIntegrable f μ a b) : (∫ x in a..b, L (f x) ∂μ) = L (∫ x in a..b, f x ∂μ) := by
simp_rw [intervalIntegral, L.integral_comp_comm hf.1, L.integral_comp_comm hf.2, L.map_sub]
#align continuous_linear_map.interval_integral_comp_comm ContinuousLinearMap.intervalIntegral_comp_comm
end ContinuousLinearMap
/-!
## Basic arithmetic
Includes addition, scalar multiplication and affine transformations.
-/
section Comp
variable {a b c d : ℝ} (f : ℝ → E)
/-!
Porting note: some `@[simp]` attributes in this section were removed to make the `simpNF` linter
happy. TODO: find out if these lemmas are actually good or bad `simp` lemmas.
-/
-- Porting note (#10618): was @[simp]
theorem integral_comp_mul_right (hc : c ≠ 0) :
(∫ x in a..b, f (x * c)) = c⁻¹ • ∫ x in a * c..b * c, f x := by
have A : MeasurableEmbedding fun x => x * c :=
(Homeomorph.mulRight₀ c hc).closedEmbedding.measurableEmbedding
conv_rhs => rw [← Real.smul_map_volume_mul_right hc]
simp_rw [integral_smul_measure, intervalIntegral, A.setIntegral_map,
ENNReal.toReal_ofReal (abs_nonneg c)]
cases' hc.lt_or_lt with h h
· simp [h, mul_div_cancel_right₀, hc, abs_of_neg,
Measure.restrict_congr_set (α := ℝ) (μ := volume) Ico_ae_eq_Ioc]
· simp [h, mul_div_cancel_right₀, hc, abs_of_pos]
#align interval_integral.integral_comp_mul_right intervalIntegral.integral_comp_mul_right
-- Porting note (#10618): was @[simp]
theorem smul_integral_comp_mul_right (c) :
(c • ∫ x in a..b, f (x * c)) = ∫ x in a * c..b * c, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_mul_right]
#align interval_integral.smul_integral_comp_mul_right intervalIntegral.smul_integral_comp_mul_right
-- Porting note (#10618): was @[simp]
theorem integral_comp_mul_left (hc : c ≠ 0) :
(∫ x in a..b, f (c * x)) = c⁻¹ • ∫ x in c * a..c * b, f x := by
simpa only [mul_comm c] using integral_comp_mul_right f hc
#align interval_integral.integral_comp_mul_left intervalIntegral.integral_comp_mul_left
-- Porting note (#10618): was @[simp]
theorem smul_integral_comp_mul_left (c) :
(c • ∫ x in a..b, f (c * x)) = ∫ x in c * a..c * b, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_mul_left]
#align interval_integral.smul_integral_comp_mul_left intervalIntegral.smul_integral_comp_mul_left
-- Porting note (#10618): was @[simp]
theorem integral_comp_div (hc : c ≠ 0) :
(∫ x in a..b, f (x / c)) = c • ∫ x in a / c..b / c, f x := by
simpa only [inv_inv] using integral_comp_mul_right f (inv_ne_zero hc)
#align interval_integral.integral_comp_div intervalIntegral.integral_comp_div
-- Porting note (#10618): was @[simp]
theorem inv_smul_integral_comp_div (c) :
(c⁻¹ • ∫ x in a..b, f (x / c)) = ∫ x in a / c..b / c, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_div]
#align interval_integral.inv_smul_integral_comp_div intervalIntegral.inv_smul_integral_comp_div
-- Porting note (#10618): was @[simp]
theorem integral_comp_add_right (d) : (∫ x in a..b, f (x + d)) = ∫ x in a + d..b + d, f x :=
have A : MeasurableEmbedding fun x => x + d :=
(Homeomorph.addRight d).closedEmbedding.measurableEmbedding
calc
(∫ x in a..b, f (x + d)) = ∫ x in a + d..b + d, f x ∂Measure.map (fun x => x + d) volume := by
simp [intervalIntegral, A.setIntegral_map]
_ = ∫ x in a + d..b + d, f x := by rw [map_add_right_eq_self]
#align interval_integral.integral_comp_add_right intervalIntegral.integral_comp_add_right
-- Porting note (#10618): was @[simp]
nonrec theorem integral_comp_add_left (d) :
(∫ x in a..b, f (d + x)) = ∫ x in d + a..d + b, f x := by
simpa only [add_comm d] using integral_comp_add_right f d
#align interval_integral.integral_comp_add_left intervalIntegral.integral_comp_add_left
-- Porting note (#10618): was @[simp]
theorem integral_comp_mul_add (hc : c ≠ 0) (d) :
(∫ x in a..b, f (c * x + d)) = c⁻¹ • ∫ x in c * a + d..c * b + d, f x := by
rw [← integral_comp_add_right, ← integral_comp_mul_left _ hc]
#align interval_integral.integral_comp_mul_add intervalIntegral.integral_comp_mul_add
-- Porting note (#10618): was @[simp]
theorem smul_integral_comp_mul_add (c d) :
(c • ∫ x in a..b, f (c * x + d)) = ∫ x in c * a + d..c * b + d, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_mul_add]
#align interval_integral.smul_integral_comp_mul_add intervalIntegral.smul_integral_comp_mul_add
-- Porting note (#10618): was @[simp]
theorem integral_comp_add_mul (hc : c ≠ 0) (d) :
(∫ x in a..b, f (d + c * x)) = c⁻¹ • ∫ x in d + c * a..d + c * b, f x := by
rw [← integral_comp_add_left, ← integral_comp_mul_left _ hc]
#align interval_integral.integral_comp_add_mul intervalIntegral.integral_comp_add_mul
-- Porting note (#10618): was @[simp]
theorem smul_integral_comp_add_mul (c d) :
(c • ∫ x in a..b, f (d + c * x)) = ∫ x in d + c * a..d + c * b, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_add_mul]
#align interval_integral.smul_integral_comp_add_mul intervalIntegral.smul_integral_comp_add_mul
-- Porting note (#10618): was @[simp]
theorem integral_comp_div_add (hc : c ≠ 0) (d) :
(∫ x in a..b, f (x / c + d)) = c • ∫ x in a / c + d..b / c + d, f x := by
simpa only [div_eq_inv_mul, inv_inv] using integral_comp_mul_add f (inv_ne_zero hc) d
#align interval_integral.integral_comp_div_add intervalIntegral.integral_comp_div_add
-- Porting note (#10618): was @[simp]
theorem inv_smul_integral_comp_div_add (c d) :
(c⁻¹ • ∫ x in a..b, f (x / c + d)) = ∫ x in a / c + d..b / c + d, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_div_add]
#align interval_integral.inv_smul_integral_comp_div_add intervalIntegral.inv_smul_integral_comp_div_add
-- Porting note (#10618): was @[simp]
theorem integral_comp_add_div (hc : c ≠ 0) (d) :
(∫ x in a..b, f (d + x / c)) = c • ∫ x in d + a / c..d + b / c, f x := by
simpa only [div_eq_inv_mul, inv_inv] using integral_comp_add_mul f (inv_ne_zero hc) d
#align interval_integral.integral_comp_add_div intervalIntegral.integral_comp_add_div
-- Porting note (#10618): was @[simp]
theorem inv_smul_integral_comp_add_div (c d) :
(c⁻¹ • ∫ x in a..b, f (d + x / c)) = ∫ x in d + a / c..d + b / c, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_add_div]
#align interval_integral.inv_smul_integral_comp_add_div intervalIntegral.inv_smul_integral_comp_add_div
-- Porting note (#10618): was @[simp]
theorem integral_comp_mul_sub (hc : c ≠ 0) (d) :
(∫ x in a..b, f (c * x - d)) = c⁻¹ • ∫ x in c * a - d..c * b - d, f x := by
simpa only [sub_eq_add_neg] using integral_comp_mul_add f hc (-d)
#align interval_integral.integral_comp_mul_sub intervalIntegral.integral_comp_mul_sub
-- Porting note (#10618): was @[simp]
theorem smul_integral_comp_mul_sub (c d) :
(c • ∫ x in a..b, f (c * x - d)) = ∫ x in c * a - d..c * b - d, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_mul_sub]
#align interval_integral.smul_integral_comp_mul_sub intervalIntegral.smul_integral_comp_mul_sub
-- Porting note (#10618): was @[simp]
theorem integral_comp_sub_mul (hc : c ≠ 0) (d) :
(∫ x in a..b, f (d - c * x)) = c⁻¹ • ∫ x in d - c * b..d - c * a, f x := by
simp only [sub_eq_add_neg, neg_mul_eq_neg_mul]
rw [integral_comp_add_mul f (neg_ne_zero.mpr hc) d, integral_symm]
simp only [inv_neg, smul_neg, neg_neg, neg_smul]
#align interval_integral.integral_comp_sub_mul intervalIntegral.integral_comp_sub_mul
-- Porting note (#10618): was @[simp]
theorem smul_integral_comp_sub_mul (c d) :
(c • ∫ x in a..b, f (d - c * x)) = ∫ x in d - c * b..d - c * a, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_sub_mul]
#align interval_integral.smul_integral_comp_sub_mul intervalIntegral.smul_integral_comp_sub_mul
-- Porting note (#10618): was @[simp]
theorem integral_comp_div_sub (hc : c ≠ 0) (d) :
(∫ x in a..b, f (x / c - d)) = c • ∫ x in a / c - d..b / c - d, f x := by
simpa only [div_eq_inv_mul, inv_inv] using integral_comp_mul_sub f (inv_ne_zero hc) d
#align interval_integral.integral_comp_div_sub intervalIntegral.integral_comp_div_sub
-- Porting note (#10618): was @[simp]
theorem inv_smul_integral_comp_div_sub (c d) :
(c⁻¹ • ∫ x in a..b, f (x / c - d)) = ∫ x in a / c - d..b / c - d, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_div_sub]
#align interval_integral.inv_smul_integral_comp_div_sub intervalIntegral.inv_smul_integral_comp_div_sub
-- Porting note (#10618): was @[simp]
theorem integral_comp_sub_div (hc : c ≠ 0) (d) :
(∫ x in a..b, f (d - x / c)) = c • ∫ x in d - b / c..d - a / c, f x := by
simpa only [div_eq_inv_mul, inv_inv] using integral_comp_sub_mul f (inv_ne_zero hc) d
#align interval_integral.integral_comp_sub_div intervalIntegral.integral_comp_sub_div
-- Porting note (#10618): was @[simp]
theorem inv_smul_integral_comp_sub_div (c d) :
(c⁻¹ • ∫ x in a..b, f (d - x / c)) = ∫ x in d - b / c..d - a / c, f x := by
by_cases hc : c = 0 <;> simp [hc, integral_comp_sub_div]
#align interval_integral.inv_smul_integral_comp_sub_div intervalIntegral.inv_smul_integral_comp_sub_div
-- Porting note (#10618): was @[simp]
theorem integral_comp_sub_right (d) : (∫ x in a..b, f (x - d)) = ∫ x in a - d..b - d, f x := by
simpa only [sub_eq_add_neg] using integral_comp_add_right f (-d)
#align interval_integral.integral_comp_sub_right intervalIntegral.integral_comp_sub_right
-- Porting note (#10618): was @[simp]
theorem integral_comp_sub_left (d) : (∫ x in a..b, f (d - x)) = ∫ x in d - b..d - a, f x := by
simpa only [one_mul, one_smul, inv_one] using integral_comp_sub_mul f one_ne_zero d
#align interval_integral.integral_comp_sub_left intervalIntegral.integral_comp_sub_left
-- Porting note (#10618): was @[simp]
theorem integral_comp_neg : (∫ x in a..b, f (-x)) = ∫ x in -b..-a, f x := by
simpa only [zero_sub] using integral_comp_sub_left f 0
#align interval_integral.integral_comp_neg intervalIntegral.integral_comp_neg
end Comp
/-!
### Integral is an additive function of the interval
In this section we prove that `∫ x in a..b, f x ∂μ + ∫ x in b..c, f x ∂μ = ∫ x in a..c, f x ∂μ`
as well as a few other identities trivially equivalent to this one. We also prove that
`∫ x in a..b, f x ∂μ = ∫ x, f x ∂μ` provided that `support f ⊆ Ioc a b`.
-/
section OrderClosedTopology
variable {a b c d : ℝ} {f g : ℝ → E} {μ : Measure ℝ}
/-- If two functions are equal in the relevant interval, their interval integrals are also equal. -/
theorem integral_congr {a b : ℝ} (h : EqOn f g [[a, b]]) :
∫ x in a..b, f x ∂μ = ∫ x in a..b, g x ∂μ := by
rcases le_total a b with hab | hab <;>
simpa [hab, integral_of_le, integral_of_ge] using
setIntegral_congr measurableSet_Ioc (h.mono Ioc_subset_Icc_self)
#align interval_integral.integral_congr intervalIntegral.integral_congr
theorem integral_add_adjacent_intervals_cancel (hab : IntervalIntegrable f μ a b)
(hbc : IntervalIntegrable f μ b c) :
(((∫ x in a..b, f x ∂μ) + ∫ x in b..c, f x ∂μ) + ∫ x in c..a, f x ∂μ) = 0 := by
have hac := hab.trans hbc
simp only [intervalIntegral, sub_add_sub_comm, sub_eq_zero]
iterate 4 rw [← integral_union]
· suffices Ioc a b ∪ Ioc b c ∪ Ioc c a = Ioc b a ∪ Ioc c b ∪ Ioc a c by rw [this]
rw [Ioc_union_Ioc_union_Ioc_cycle, union_right_comm, Ioc_union_Ioc_union_Ioc_cycle,
min_left_comm, max_left_comm]
all_goals
simp [*, MeasurableSet.union, measurableSet_Ioc, Ioc_disjoint_Ioc_same,
Ioc_disjoint_Ioc_same.symm, hab.1, hab.2, hbc.1, hbc.2, hac.1, hac.2]
#align interval_integral.integral_add_adjacent_intervals_cancel intervalIntegral.integral_add_adjacent_intervals_cancel
| Mathlib/MeasureTheory/Integral/IntervalIntegral.lean | 931 | 934 | theorem integral_add_adjacent_intervals (hab : IntervalIntegrable f μ a b)
(hbc : IntervalIntegrable f μ b c) :
((∫ x in a..b, f x ∂μ) + ∫ x in b..c, f x ∂μ) = ∫ x in a..c, f x ∂μ := by |
rw [← add_neg_eq_zero, ← integral_symm, integral_add_adjacent_intervals_cancel hab hbc]
|
/-
Copyright (c) 2018 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad
-/
import Mathlib.Order.CompleteLattice
import Mathlib.Order.GaloisConnection
import Mathlib.Data.Set.Lattice
import Mathlib.Tactic.AdaptationNote
#align_import data.rel from "leanprover-community/mathlib"@"706d88f2b8fdfeb0b22796433d7a6c1a010af9f2"
/-!
# Relations
This file defines bundled relations. A relation between `α` and `β` is a function `α → β → Prop`.
Relations are also known as set-valued functions, or partial multifunctions.
## Main declarations
* `Rel α β`: Relation between `α` and `β`.
* `Rel.inv`: `r.inv` is the `Rel β α` obtained by swapping the arguments of `r`.
* `Rel.dom`: Domain of a relation. `x ∈ r.dom` iff there exists `y` such that `r x y`.
* `Rel.codom`: Codomain, aka range, of a relation. `y ∈ r.codom` iff there exists `x` such that
`r x y`.
* `Rel.comp`: Relation composition. Note that the arguments order follows the `CategoryTheory/`
one, so `r.comp s x z ↔ ∃ y, r x y ∧ s y z`.
* `Rel.image`: Image of a set under a relation. `r.image s` is the set of `f x` over all `x ∈ s`.
* `Rel.preimage`: Preimage of a set under a relation. Note that `r.preimage = r.inv.image`.
* `Rel.core`: Core of a set. For `s : Set β`, `r.core s` is the set of `x : α` such that all `y`
related to `x` are in `s`.
* `Rel.restrict_domain`: Domain-restriction of a relation to a subtype.
* `Function.graph`: Graph of a function as a relation.
## TODOs
The `Rel.comp` function uses the notation `r • s`, rather than the more common `r ∘ s` for things
named `comp`. This is because the latter is already used for function composition, and causes a
clash. A better notation should be found, perhaps a variant of `r ∘r s` or `r; s`.
-/
variable {α β γ : Type*}
/-- A relation on `α` and `β`, aka a set-valued function, aka a partial multifunction -/
def Rel (α β : Type*) :=
α → β → Prop -- deriving CompleteLattice, Inhabited
#align rel Rel
-- Porting note: `deriving` above doesn't work.
instance : CompleteLattice (Rel α β) := show CompleteLattice (α → β → Prop) from inferInstance
instance : Inhabited (Rel α β) := show Inhabited (α → β → Prop) from inferInstance
namespace Rel
variable (r : Rel α β)
-- Porting note: required for later theorems.
@[ext] theorem ext {r s : Rel α β} : (∀ a, r a = s a) → r = s := funext
/-- The inverse relation : `r.inv x y ↔ r y x`. Note that this is *not* a groupoid inverse. -/
def inv : Rel β α :=
flip r
#align rel.inv Rel.inv
theorem inv_def (x : α) (y : β) : r.inv y x ↔ r x y :=
Iff.rfl
#align rel.inv_def Rel.inv_def
theorem inv_inv : inv (inv r) = r := by
ext x y
rfl
#align rel.inv_inv Rel.inv_inv
/-- Domain of a relation -/
def dom := { x | ∃ y, r x y }
#align rel.dom Rel.dom
theorem dom_mono {r s : Rel α β} (h : r ≤ s) : dom r ⊆ dom s := fun a ⟨b, hx⟩ => ⟨b, h a b hx⟩
#align rel.dom_mono Rel.dom_mono
/-- Codomain aka range of a relation -/
def codom := { y | ∃ x, r x y }
#align rel.codom Rel.codom
theorem codom_inv : r.inv.codom = r.dom := by
ext x
rfl
#align rel.codom_inv Rel.codom_inv
theorem dom_inv : r.inv.dom = r.codom := by
ext x
rfl
#align rel.dom_inv Rel.dom_inv
/-- Composition of relation; note that it follows the `CategoryTheory/` order of arguments. -/
def comp (r : Rel α β) (s : Rel β γ) : Rel α γ := fun x z => ∃ y, r x y ∧ s y z
#align rel.comp Rel.comp
-- Porting note: the original `∘` syntax can't be overloaded here, lean considers it ambiguous.
/-- Local syntax for composition of relations. -/
local infixr:90 " • " => Rel.comp
theorem comp_assoc {δ : Type*} (r : Rel α β) (s : Rel β γ) (t : Rel γ δ) :
(r • s) • t = r • (s • t) := by
unfold comp; ext (x w); constructor
· rintro ⟨z, ⟨y, rxy, syz⟩, tzw⟩; exact ⟨y, rxy, z, syz, tzw⟩
· rintro ⟨y, rxy, z, syz, tzw⟩; exact ⟨z, ⟨y, rxy, syz⟩, tzw⟩
#align rel.comp_assoc Rel.comp_assoc
@[simp]
theorem comp_right_id (r : Rel α β) : r • @Eq β = r := by
unfold comp
ext y
simp
#align rel.comp_right_id Rel.comp_right_id
@[simp]
theorem comp_left_id (r : Rel α β) : @Eq α • r = r := by
unfold comp
ext x
simp
#align rel.comp_left_id Rel.comp_left_id
@[simp]
theorem comp_right_bot (r : Rel α β) : r • (⊥ : Rel β γ) = ⊥ := by
ext x y
simp [comp, Bot.bot]
@[simp]
theorem comp_left_bot (r : Rel α β) : (⊥ : Rel γ α) • r = ⊥ := by
ext x y
simp [comp, Bot.bot]
@[simp]
theorem comp_right_top (r : Rel α β) : r • (⊤ : Rel β γ) = fun x _ ↦ x ∈ r.dom := by
ext x z
simp [comp, Top.top, dom]
@[simp]
theorem comp_left_top (r : Rel α β) : (⊤ : Rel γ α) • r = fun _ y ↦ y ∈ r.codom := by
ext x z
simp [comp, Top.top, codom]
theorem inv_id : inv (@Eq α) = @Eq α := by
ext x y
constructor <;> apply Eq.symm
#align rel.inv_id Rel.inv_id
theorem inv_comp (r : Rel α β) (s : Rel β γ) : inv (r • s) = inv s • inv r := by
ext x z
simp [comp, inv, flip, and_comm]
#align rel.inv_comp Rel.inv_comp
@[simp]
theorem inv_bot : (⊥ : Rel α β).inv = (⊥ : Rel β α) := by
#adaptation_note /-- nightly-2024-03-16: simp was `simp [Bot.bot, inv, flip]` -/
simp [Bot.bot, inv, Function.flip_def]
@[simp]
theorem inv_top : (⊤ : Rel α β).inv = (⊤ : Rel β α) := by
#adaptation_note /-- nightly-2024-03-16: simp was `simp [Top.top, inv, flip]` -/
simp [Top.top, inv, Function.flip_def]
/-- Image of a set under a relation -/
def image (s : Set α) : Set β := { y | ∃ x ∈ s, r x y }
#align rel.image Rel.image
theorem mem_image (y : β) (s : Set α) : y ∈ image r s ↔ ∃ x ∈ s, r x y :=
Iff.rfl
#align rel.mem_image Rel.mem_image
theorem image_subset : ((· ⊆ ·) ⇒ (· ⊆ ·)) r.image r.image := fun _ _ h _ ⟨x, xs, rxy⟩ =>
⟨x, h xs, rxy⟩
#align rel.image_subset Rel.image_subset
theorem image_mono : Monotone r.image :=
r.image_subset
#align rel.image_mono Rel.image_mono
theorem image_inter (s t : Set α) : r.image (s ∩ t) ⊆ r.image s ∩ r.image t :=
r.image_mono.map_inf_le s t
#align rel.image_inter Rel.image_inter
theorem image_union (s t : Set α) : r.image (s ∪ t) = r.image s ∪ r.image t :=
le_antisymm
(fun _y ⟨x, xst, rxy⟩ =>
xst.elim (fun xs => Or.inl ⟨x, ⟨xs, rxy⟩⟩) fun xt => Or.inr ⟨x, ⟨xt, rxy⟩⟩)
(r.image_mono.le_map_sup s t)
#align rel.image_union Rel.image_union
@[simp]
theorem image_id (s : Set α) : image (@Eq α) s = s := by
ext x
simp [mem_image]
#align rel.image_id Rel.image_id
theorem image_comp (s : Rel β γ) (t : Set α) : image (r • s) t = image s (image r t) := by
ext z; simp only [mem_image]; constructor
· rintro ⟨x, xt, y, rxy, syz⟩; exact ⟨y, ⟨x, xt, rxy⟩, syz⟩
· rintro ⟨y, ⟨x, xt, rxy⟩, syz⟩; exact ⟨x, xt, y, rxy, syz⟩
#align rel.image_comp Rel.image_comp
theorem image_univ : r.image Set.univ = r.codom := by
ext y
simp [mem_image, codom]
#align rel.image_univ Rel.image_univ
@[simp]
theorem image_empty : r.image ∅ = ∅ := by
ext x
simp [mem_image]
@[simp]
theorem image_bot (s : Set α) : (⊥ : Rel α β).image s = ∅ := by
rw [Set.eq_empty_iff_forall_not_mem]
intro x h
simp [mem_image, Bot.bot] at h
@[simp]
theorem image_top {s : Set α} (h : Set.Nonempty s) :
(⊤ : Rel α β).image s = Set.univ :=
Set.eq_univ_of_forall fun x ↦ ⟨h.some, by simp [h.some_mem, Top.top]⟩
/-- Preimage of a set under a relation `r`. Same as the image of `s` under `r.inv` -/
def preimage (s : Set β) : Set α :=
r.inv.image s
#align rel.preimage Rel.preimage
theorem mem_preimage (x : α) (s : Set β) : x ∈ r.preimage s ↔ ∃ y ∈ s, r x y :=
Iff.rfl
#align rel.mem_preimage Rel.mem_preimage
theorem preimage_def (s : Set β) : preimage r s = { x | ∃ y ∈ s, r x y } :=
Set.ext fun _ => mem_preimage _ _ _
#align rel.preimage_def Rel.preimage_def
theorem preimage_mono {s t : Set β} (h : s ⊆ t) : r.preimage s ⊆ r.preimage t :=
image_mono _ h
#align rel.preimage_mono Rel.preimage_mono
theorem preimage_inter (s t : Set β) : r.preimage (s ∩ t) ⊆ r.preimage s ∩ r.preimage t :=
image_inter _ s t
#align rel.preimage_inter Rel.preimage_inter
theorem preimage_union (s t : Set β) : r.preimage (s ∪ t) = r.preimage s ∪ r.preimage t :=
image_union _ s t
#align rel.preimage_union Rel.preimage_union
theorem preimage_id (s : Set α) : preimage (@Eq α) s = s := by
simp only [preimage, inv_id, image_id]
#align rel.preimage_id Rel.preimage_id
theorem preimage_comp (s : Rel β γ) (t : Set γ) :
preimage (r • s) t = preimage r (preimage s t) := by simp only [preimage, inv_comp, image_comp]
#align rel.preimage_comp Rel.preimage_comp
| Mathlib/Data/Rel.lean | 258 | 258 | theorem preimage_univ : r.preimage Set.univ = r.dom := by | rw [preimage, image_univ, codom_inv]
|
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Amelia Livingston, Yury Kudryashov,
Neil Strickland, Aaron Anderson
-/
import Mathlib.Algebra.Group.Basic
import Mathlib.Algebra.Group.Hom.Defs
import Mathlib.Tactic.Common
#align_import algebra.divisibility.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
/-!
# Divisibility
This file defines the basics of the divisibility relation in the context of `(Comm)` `Monoid`s.
## Main definitions
* `semigroupDvd`
## Implementation notes
The divisibility relation is defined for all monoids, and as such, depends on the order of
multiplication if the monoid is not commutative. There are two possible conventions for
divisibility in the noncommutative context, and this relation follows the convention for ordinals,
so `a | b` is defined as `∃ c, b = a * c`.
## Tags
divisibility, divides
-/
variable {α : Type*}
section Semigroup
variable [Semigroup α] {a b c : α}
/-- There are two possible conventions for divisibility, which coincide in a `CommMonoid`.
This matches the convention for ordinals. -/
instance (priority := 100) semigroupDvd : Dvd α :=
Dvd.mk fun a b => ∃ c, b = a * c
#align semigroup_has_dvd semigroupDvd
-- TODO: this used to not have `c` explicit, but that seems to be important
-- for use with tactics, similar to `Exists.intro`
theorem Dvd.intro (c : α) (h : a * c = b) : a ∣ b :=
Exists.intro c h.symm
#align dvd.intro Dvd.intro
alias dvd_of_mul_right_eq := Dvd.intro
#align dvd_of_mul_right_eq dvd_of_mul_right_eq
theorem exists_eq_mul_right_of_dvd (h : a ∣ b) : ∃ c, b = a * c :=
h
#align exists_eq_mul_right_of_dvd exists_eq_mul_right_of_dvd
theorem dvd_def : a ∣ b ↔ ∃ c, b = a * c :=
Iff.rfl
alias dvd_iff_exists_eq_mul_right := dvd_def
theorem Dvd.elim {P : Prop} {a b : α} (H₁ : a ∣ b) (H₂ : ∀ c, b = a * c → P) : P :=
Exists.elim H₁ H₂
#align dvd.elim Dvd.elim
attribute [local simp] mul_assoc mul_comm mul_left_comm
@[trans]
theorem dvd_trans : a ∣ b → b ∣ c → a ∣ c
| ⟨d, h₁⟩, ⟨e, h₂⟩ => ⟨d * e, h₁ ▸ h₂.trans <| mul_assoc a d e⟩
#align dvd_trans dvd_trans
alias Dvd.dvd.trans := dvd_trans
/-- Transitivity of `|` for use in `calc` blocks. -/
instance : IsTrans α Dvd.dvd :=
⟨fun _ _ _ => dvd_trans⟩
@[simp]
theorem dvd_mul_right (a b : α) : a ∣ a * b :=
Dvd.intro b rfl
#align dvd_mul_right dvd_mul_right
theorem dvd_mul_of_dvd_left (h : a ∣ b) (c : α) : a ∣ b * c :=
h.trans (dvd_mul_right b c)
#align dvd_mul_of_dvd_left dvd_mul_of_dvd_left
alias Dvd.dvd.mul_right := dvd_mul_of_dvd_left
theorem dvd_of_mul_right_dvd (h : a * b ∣ c) : a ∣ c :=
(dvd_mul_right a b).trans h
#align dvd_of_mul_right_dvd dvd_of_mul_right_dvd
section map_dvd
variable {M N : Type*}
theorem map_dvd [Semigroup M] [Semigroup N] {F : Type*} [FunLike F M N] [MulHomClass F M N]
(f : F) {a b} : a ∣ b → f a ∣ f b
| ⟨c, h⟩ => ⟨f c, h.symm ▸ map_mul f a c⟩
#align map_dvd map_dvd
theorem MulHom.map_dvd [Semigroup M] [Semigroup N] (f : M →ₙ* N) {a b} : a ∣ b → f a ∣ f b :=
_root_.map_dvd f
#align mul_hom.map_dvd MulHom.map_dvd
theorem MonoidHom.map_dvd [Monoid M] [Monoid N] (f : M →* N) {a b} : a ∣ b → f a ∣ f b :=
_root_.map_dvd f
#align monoid_hom.map_dvd MonoidHom.map_dvd
end map_dvd
/-- An element `a` in a semigroup is primal if whenever `a` is a divisor of `b * c`, it can be
factored as the product of a divisor of `b` and a divisor of `c`. -/
def IsPrimal (a : α) : Prop := ∀ ⦃b c⦄, a ∣ b * c → ∃ a₁ a₂, a₁ ∣ b ∧ a₂ ∣ c ∧ a = a₁ * a₂
variable (α) in
/-- A monoid is a decomposition monoid if every element is primal. An integral domain whose
multiplicative monoid is a decomposition monoid, is called a pre-Schreier domain; it is a
Schreier domain if it is moreover integrally closed. -/
@[mk_iff] class DecompositionMonoid : Prop where
primal (a : α) : IsPrimal a
theorem exists_dvd_and_dvd_of_dvd_mul [DecompositionMonoid α] {b c a : α} (H : a ∣ b * c) :
∃ a₁ a₂, a₁ ∣ b ∧ a₂ ∣ c ∧ a = a₁ * a₂ := DecompositionMonoid.primal a H
#align exists_dvd_and_dvd_of_dvd_mul exists_dvd_and_dvd_of_dvd_mul
end Semigroup
section Monoid
variable [Monoid α] {a b c : α} {m n : ℕ}
@[refl, simp]
theorem dvd_refl (a : α) : a ∣ a :=
Dvd.intro 1 (mul_one a)
#align dvd_refl dvd_refl
theorem dvd_rfl : ∀ {a : α}, a ∣ a := fun {a} => dvd_refl a
#align dvd_rfl dvd_rfl
instance : IsRefl α (· ∣ ·) :=
⟨dvd_refl⟩
theorem one_dvd (a : α) : 1 ∣ a :=
Dvd.intro a (one_mul a)
#align one_dvd one_dvd
theorem dvd_of_eq (h : a = b) : a ∣ b := by rw [h]
#align dvd_of_eq dvd_of_eq
alias Eq.dvd := dvd_of_eq
#align eq.dvd Eq.dvd
lemma pow_dvd_pow (a : α) (h : m ≤ n) : a ^ m ∣ a ^ n :=
⟨a ^ (n - m), by rw [← pow_add, Nat.add_comm, Nat.sub_add_cancel h]⟩
#align pow_dvd_pow pow_dvd_pow
lemma dvd_pow (hab : a ∣ b) : ∀ {n : ℕ} (_ : n ≠ 0), a ∣ b ^ n
| 0, hn => (hn rfl).elim
| n + 1, _ => by rw [pow_succ']; exact hab.mul_right _
#align dvd_pow dvd_pow
alias Dvd.dvd.pow := dvd_pow
lemma dvd_pow_self (a : α) {n : ℕ} (hn : n ≠ 0) : a ∣ a ^ n := dvd_rfl.pow hn
#align dvd_pow_self dvd_pow_self
theorem mul_dvd_mul_left (a : α) (h : b ∣ c) : a * b ∣ a * c := by
obtain ⟨d, rfl⟩ := h
use d
rw [mul_assoc]
#align mul_dvd_mul_left mul_dvd_mul_left
end Monoid
section CommSemigroup
variable [CommSemigroup α] {a b c : α}
theorem Dvd.intro_left (c : α) (h : c * a = b) : a ∣ b :=
Dvd.intro _ (by rw [mul_comm] at h; apply h)
#align dvd.intro_left Dvd.intro_left
alias dvd_of_mul_left_eq := Dvd.intro_left
#align dvd_of_mul_left_eq dvd_of_mul_left_eq
theorem exists_eq_mul_left_of_dvd (h : a ∣ b) : ∃ c, b = c * a :=
Dvd.elim h fun c => fun H1 : b = a * c => Exists.intro c (Eq.trans H1 (mul_comm a c))
#align exists_eq_mul_left_of_dvd exists_eq_mul_left_of_dvd
theorem dvd_iff_exists_eq_mul_left : a ∣ b ↔ ∃ c, b = c * a :=
⟨exists_eq_mul_left_of_dvd, by
rintro ⟨c, rfl⟩
exact ⟨c, mul_comm _ _⟩⟩
#align dvd_iff_exists_eq_mul_left dvd_iff_exists_eq_mul_left
theorem Dvd.elim_left {P : Prop} (h₁ : a ∣ b) (h₂ : ∀ c, b = c * a → P) : P :=
Exists.elim (exists_eq_mul_left_of_dvd h₁) fun c => fun h₃ : b = c * a => h₂ c h₃
#align dvd.elim_left Dvd.elim_left
@[simp]
theorem dvd_mul_left (a b : α) : a ∣ b * a :=
Dvd.intro b (mul_comm a b)
#align dvd_mul_left dvd_mul_left
| Mathlib/Algebra/Divisibility/Basic.lean | 209 | 210 | theorem dvd_mul_of_dvd_right (h : a ∣ b) (c : α) : a ∣ c * b := by |
rw [mul_comm]; exact h.mul_right _
|
/-
Copyright (c) 2020 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Yury Kudryashov
-/
import Mathlib.Algebra.Star.Order
import Mathlib.Topology.Instances.NNReal
import Mathlib.Topology.Order.MonotoneContinuity
#align_import data.real.sqrt from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004"
/-!
# Square root of a real number
In this file we define
* `NNReal.sqrt` to be the square root of a nonnegative real number.
* `Real.sqrt` to be the square root of a real number, defined to be zero on negative numbers.
Then we prove some basic properties of these functions.
## Implementation notes
We define `NNReal.sqrt` as the noncomputable inverse to the function `x ↦ x * x`. We use general
theory of inverses of strictly monotone functions to prove that `NNReal.sqrt x` exists. As a side
effect, `NNReal.sqrt` is a bundled `OrderIso`, so for `NNReal` numbers we get continuity as well as
theorems like `NNReal.sqrt x ≤ y ↔ x ≤ y * y` for free.
Then we define `Real.sqrt x` to be `NNReal.sqrt (Real.toNNReal x)`.
## Tags
square root
-/
open Set Filter
open scoped Filter NNReal Topology
namespace NNReal
variable {x y : ℝ≥0}
/-- Square root of a nonnegative real number. -/
-- Porting note: was @[pp_nodot]
noncomputable def sqrt : ℝ≥0 ≃o ℝ≥0 :=
OrderIso.symm <| powOrderIso 2 two_ne_zero
#align nnreal.sqrt NNReal.sqrt
@[simp] lemma sq_sqrt (x : ℝ≥0) : sqrt x ^ 2 = x := sqrt.symm_apply_apply _
#align nnreal.sq_sqrt NNReal.sq_sqrt
@[simp] lemma sqrt_sq (x : ℝ≥0) : sqrt (x ^ 2) = x := sqrt.apply_symm_apply _
#align nnreal.sqrt_sq NNReal.sqrt_sq
@[simp] lemma mul_self_sqrt (x : ℝ≥0) : sqrt x * sqrt x = x := by rw [← sq, sq_sqrt]
#align nnreal.mul_self_sqrt NNReal.mul_self_sqrt
@[simp] lemma sqrt_mul_self (x : ℝ≥0) : sqrt (x * x) = x := by rw [← sq, sqrt_sq]
#align nnreal.sqrt_mul_self NNReal.sqrt_mul_self
lemma sqrt_le_sqrt : sqrt x ≤ sqrt y ↔ x ≤ y := sqrt.le_iff_le
#align nnreal.sqrt_le_sqrt_iff NNReal.sqrt_le_sqrt
lemma sqrt_lt_sqrt : sqrt x < sqrt y ↔ x < y := sqrt.lt_iff_lt
#align nnreal.sqrt_lt_sqrt_iff NNReal.sqrt_lt_sqrt
lemma sqrt_eq_iff_eq_sq : sqrt x = y ↔ x = y ^ 2 := sqrt.toEquiv.apply_eq_iff_eq_symm_apply
#align nnreal.sqrt_eq_iff_sq_eq NNReal.sqrt_eq_iff_eq_sq
lemma sqrt_le_iff_le_sq : sqrt x ≤ y ↔ x ≤ y ^ 2 := sqrt.to_galoisConnection _ _
#align nnreal.sqrt_le_iff NNReal.sqrt_le_iff_le_sq
lemma le_sqrt_iff_sq_le : x ≤ sqrt y ↔ x ^ 2 ≤ y := (sqrt.symm.to_galoisConnection _ _).symm
#align nnreal.le_sqrt_iff NNReal.le_sqrt_iff_sq_le
-- 2024-02-14
@[deprecated] alias sqrt_le_sqrt_iff := sqrt_le_sqrt
@[deprecated] alias sqrt_lt_sqrt_iff := sqrt_lt_sqrt
@[deprecated] alias sqrt_le_iff := sqrt_le_iff_le_sq
@[deprecated] alias le_sqrt_iff := le_sqrt_iff_sq_le
@[deprecated] alias sqrt_eq_iff_sq_eq := sqrt_eq_iff_eq_sq
@[simp] lemma sqrt_eq_zero : sqrt x = 0 ↔ x = 0 := by simp [sqrt_eq_iff_eq_sq]
#align nnreal.sqrt_eq_zero NNReal.sqrt_eq_zero
@[simp] lemma sqrt_eq_one : sqrt x = 1 ↔ x = 1 := by simp [sqrt_eq_iff_eq_sq]
@[simp] lemma sqrt_zero : sqrt 0 = 0 := by simp
#align nnreal.sqrt_zero NNReal.sqrt_zero
@[simp] lemma sqrt_one : sqrt 1 = 1 := by simp
#align nnreal.sqrt_one NNReal.sqrt_one
@[simp] lemma sqrt_le_one : sqrt x ≤ 1 ↔ x ≤ 1 := by rw [← sqrt_one, sqrt_le_sqrt, sqrt_one]
@[simp] lemma one_le_sqrt : 1 ≤ sqrt x ↔ 1 ≤ x := by rw [← sqrt_one, sqrt_le_sqrt, sqrt_one]
theorem sqrt_mul (x y : ℝ≥0) : sqrt (x * y) = sqrt x * sqrt y := by
rw [sqrt_eq_iff_eq_sq, mul_pow, sq_sqrt, sq_sqrt]
#align nnreal.sqrt_mul NNReal.sqrt_mul
/-- `NNReal.sqrt` as a `MonoidWithZeroHom`. -/
noncomputable def sqrtHom : ℝ≥0 →*₀ ℝ≥0 :=
⟨⟨sqrt, sqrt_zero⟩, sqrt_one, sqrt_mul⟩
#align nnreal.sqrt_hom NNReal.sqrtHom
theorem sqrt_inv (x : ℝ≥0) : sqrt x⁻¹ = (sqrt x)⁻¹ :=
map_inv₀ sqrtHom x
#align nnreal.sqrt_inv NNReal.sqrt_inv
theorem sqrt_div (x y : ℝ≥0) : sqrt (x / y) = sqrt x / sqrt y :=
map_div₀ sqrtHom x y
#align nnreal.sqrt_div NNReal.sqrt_div
@[continuity, fun_prop]
theorem continuous_sqrt : Continuous sqrt := sqrt.continuous
#align nnreal.continuous_sqrt NNReal.continuous_sqrt
@[simp] theorem sqrt_pos : 0 < sqrt x ↔ 0 < x := by simp [pos_iff_ne_zero]
alias ⟨_, sqrt_pos_of_pos⟩ := sqrt_pos
end NNReal
namespace Real
/-- The square root of a real number. This returns 0 for negative inputs.
This has notation `√x`. Note that `√x⁻¹` is parsed as `√(x⁻¹)`. -/
noncomputable def sqrt (x : ℝ) : ℝ :=
NNReal.sqrt (Real.toNNReal x)
#align real.sqrt Real.sqrt
-- TODO: replace this with a typeclass
@[inherit_doc]
prefix:max "√" => Real.sqrt
/- quotient.lift_on x
(λ f, mk ⟨sqrt_aux f, (sqrt_aux_converges f).fst⟩)
(λ f g e, begin
rcases sqrt_aux_converges f with ⟨hf, x, x0, xf, xs⟩,
rcases sqrt_aux_converges g with ⟨hg, y, y0, yg, ys⟩,
refine xs.trans (eq.trans _ ys.symm),
rw [← @mul_self_inj_of_nonneg ℝ _ x y x0 y0, xf, yg],
congr' 1, exact quotient.sound e
end)-/
variable {x y : ℝ}
@[simp, norm_cast]
theorem coe_sqrt {x : ℝ≥0} : (NNReal.sqrt x : ℝ) = √(x : ℝ) := by
rw [Real.sqrt, Real.toNNReal_coe]
#align real.coe_sqrt Real.coe_sqrt
@[continuity]
theorem continuous_sqrt : Continuous (√· : ℝ → ℝ) :=
NNReal.continuous_coe.comp <| NNReal.continuous_sqrt.comp continuous_real_toNNReal
#align real.continuous_sqrt Real.continuous_sqrt
theorem sqrt_eq_zero_of_nonpos (h : x ≤ 0) : sqrt x = 0 := by simp [sqrt, Real.toNNReal_eq_zero.2 h]
#align real.sqrt_eq_zero_of_nonpos Real.sqrt_eq_zero_of_nonpos
theorem sqrt_nonneg (x : ℝ) : 0 ≤ √x :=
NNReal.coe_nonneg _
#align real.sqrt_nonneg Real.sqrt_nonneg
@[simp]
theorem mul_self_sqrt (h : 0 ≤ x) : √x * √x = x := by
rw [Real.sqrt, ← NNReal.coe_mul, NNReal.mul_self_sqrt, Real.coe_toNNReal _ h]
#align real.mul_self_sqrt Real.mul_self_sqrt
@[simp]
theorem sqrt_mul_self (h : 0 ≤ x) : √(x * x) = x :=
(mul_self_inj_of_nonneg (sqrt_nonneg _) h).1 (mul_self_sqrt (mul_self_nonneg _))
#align real.sqrt_mul_self Real.sqrt_mul_self
theorem sqrt_eq_cases : √x = y ↔ y * y = x ∧ 0 ≤ y ∨ x < 0 ∧ y = 0 := by
constructor
· rintro rfl
rcases le_or_lt 0 x with hle | hlt
· exact Or.inl ⟨mul_self_sqrt hle, sqrt_nonneg x⟩
· exact Or.inr ⟨hlt, sqrt_eq_zero_of_nonpos hlt.le⟩
· rintro (⟨rfl, hy⟩ | ⟨hx, rfl⟩)
exacts [sqrt_mul_self hy, sqrt_eq_zero_of_nonpos hx.le]
#align real.sqrt_eq_cases Real.sqrt_eq_cases
theorem sqrt_eq_iff_mul_self_eq (hx : 0 ≤ x) (hy : 0 ≤ y) : √x = y ↔ y * y = x :=
⟨fun h => by rw [← h, mul_self_sqrt hx], fun h => by rw [← h, sqrt_mul_self hy]⟩
#align real.sqrt_eq_iff_mul_self_eq Real.sqrt_eq_iff_mul_self_eq
theorem sqrt_eq_iff_mul_self_eq_of_pos (h : 0 < y) : √x = y ↔ y * y = x := by
simp [sqrt_eq_cases, h.ne', h.le]
#align real.sqrt_eq_iff_mul_self_eq_of_pos Real.sqrt_eq_iff_mul_self_eq_of_pos
@[simp]
theorem sqrt_eq_one : √x = 1 ↔ x = 1 :=
calc
√x = 1 ↔ 1 * 1 = x := sqrt_eq_iff_mul_self_eq_of_pos zero_lt_one
_ ↔ x = 1 := by rw [eq_comm, mul_one]
#align real.sqrt_eq_one Real.sqrt_eq_one
@[simp]
theorem sq_sqrt (h : 0 ≤ x) : √x ^ 2 = x := by rw [sq, mul_self_sqrt h]
#align real.sq_sqrt Real.sq_sqrt
@[simp]
theorem sqrt_sq (h : 0 ≤ x) : √(x ^ 2) = x := by rw [sq, sqrt_mul_self h]
#align real.sqrt_sq Real.sqrt_sq
| Mathlib/Data/Real/Sqrt.lean | 208 | 209 | theorem sqrt_eq_iff_sq_eq (hx : 0 ≤ x) (hy : 0 ≤ y) : √x = y ↔ y ^ 2 = x := by |
rw [sq, sqrt_eq_iff_mul_self_eq hx hy]
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Analysis.Analytic.Composition
import Mathlib.Analysis.Analytic.Linear
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Geometry.Manifold.ChartedSpace
import Mathlib.Analysis.NormedSpace.FiniteDimension
import Mathlib.Analysis.Calculus.ContDiff.Basic
#align_import geometry.manifold.smooth_manifold_with_corners from "leanprover-community/mathlib"@"ddec54a71a0dd025c05445d467f1a2b7d586a3ba"
/-!
# Smooth manifolds (possibly with boundary or corners)
A smooth manifold is a manifold modelled on a normed vector space, or a subset like a
half-space (to get manifolds with boundaries) for which the changes of coordinates are smooth maps.
We define a model with corners as a map `I : H → E` embedding nicely the topological space `H` in
the vector space `E` (or more precisely as a structure containing all the relevant properties).
Given such a model with corners `I` on `(E, H)`, we define the groupoid of local
homeomorphisms of `H` which are smooth when read in `E` (for any regularity `n : ℕ∞`).
With this groupoid at hand and the general machinery of charted spaces, we thus get the notion
of `C^n` manifold with respect to any model with corners `I` on `(E, H)`. We also introduce a
specific type class for `C^∞` manifolds as these are the most commonly used.
Some texts assume manifolds to be Hausdorff and secound countable. We (in mathlib) assume neither,
but add these assumptions later as needed. (Quite a few results still do not require them.)
## Main definitions
* `ModelWithCorners 𝕜 E H` :
a structure containing informations on the way a space `H` embeds in a
model vector space E over the field `𝕜`. This is all that is needed to
define a smooth manifold with model space `H`, and model vector space `E`.
* `modelWithCornersSelf 𝕜 E` :
trivial model with corners structure on the space `E` embedded in itself by the identity.
* `contDiffGroupoid n I` :
when `I` is a model with corners on `(𝕜, E, H)`, this is the groupoid of partial homeos of `H`
which are of class `C^n` over the normed field `𝕜`, when read in `E`.
* `SmoothManifoldWithCorners I M` :
a type class saying that the charted space `M`, modelled on the space `H`, has `C^∞` changes of
coordinates with respect to the model with corners `I` on `(𝕜, E, H)`. This type class is just
a shortcut for `HasGroupoid M (contDiffGroupoid ∞ I)`.
* `extChartAt I x`:
in a smooth manifold with corners with the model `I` on `(E, H)`, the charts take values in `H`,
but often we may want to use their `E`-valued version, obtained by composing the charts with `I`.
Since the target is in general not open, we can not register them as partial homeomorphisms, but
we register them as `PartialEquiv`s.
`extChartAt I x` is the canonical such partial equiv around `x`.
As specific examples of models with corners, we define (in `Geometry.Manifold.Instances.Real`)
* `modelWithCornersSelf ℝ (EuclideanSpace (Fin n))` for the model space used to define
`n`-dimensional real manifolds without boundary (with notation `𝓡 n` in the locale `Manifold`)
* `ModelWithCorners ℝ (EuclideanSpace (Fin n)) (EuclideanHalfSpace n)` for the model space
used to define `n`-dimensional real manifolds with boundary (with notation `𝓡∂ n` in the locale
`Manifold`)
* `ModelWithCorners ℝ (EuclideanSpace (Fin n)) (EuclideanQuadrant n)` for the model space used
to define `n`-dimensional real manifolds with corners
With these definitions at hand, to invoke an `n`-dimensional real manifold without boundary,
one could use
`variable {n : ℕ} {M : Type*} [TopologicalSpace M] [ChartedSpace (EuclideanSpace (Fin n)) M]
[SmoothManifoldWithCorners (𝓡 n) M]`.
However, this is not the recommended way: a theorem proved using this assumption would not apply
for instance to the tangent space of such a manifold, which is modelled on
`(EuclideanSpace (Fin n)) × (EuclideanSpace (Fin n))` and not on `EuclideanSpace (Fin (2 * n))`!
In the same way, it would not apply to product manifolds, modelled on
`(EuclideanSpace (Fin n)) × (EuclideanSpace (Fin m))`.
The right invocation does not focus on one specific construction, but on all constructions sharing
the right properties, like
`variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
{I : ModelWithCorners ℝ E E} [I.Boundaryless]
{M : Type*} [TopologicalSpace M] [ChartedSpace E M] [SmoothManifoldWithCorners I M]`
Here, `I.Boundaryless` is a typeclass property ensuring that there is no boundary (this is for
instance the case for `modelWithCornersSelf`, or products of these). Note that one could consider
as a natural assumption to only use the trivial model with corners `modelWithCornersSelf ℝ E`,
but again in product manifolds the natural model with corners will not be this one but the product
one (and they are not defeq as `(fun p : E × F ↦ (p.1, p.2))` is not defeq to the identity).
So, it is important to use the above incantation to maximize the applicability of theorems.
## Implementation notes
We want to talk about manifolds modelled on a vector space, but also on manifolds with
boundary, modelled on a half space (or even manifolds with corners). For the latter examples,
we still want to define smooth functions, tangent bundles, and so on. As smooth functions are
well defined on vector spaces or subsets of these, one could take for model space a subtype of a
vector space. With the drawback that the whole vector space itself (which is the most basic
example) is not directly a subtype of itself: the inclusion of `univ : Set E` in `Set E` would
show up in the definition, instead of `id`.
A good abstraction covering both cases it to have a vector
space `E` (with basic example the Euclidean space), a model space `H` (with basic example the upper
half space), and an embedding of `H` into `E` (which can be the identity for `H = E`, or
`Subtype.val` for manifolds with corners). We say that the pair `(E, H)` with their embedding is a
model with corners, and we encompass all the relevant properties (in particular the fact that the
image of `H` in `E` should have unique differentials) in the definition of `ModelWithCorners`.
We concentrate on `C^∞` manifolds: all the definitions work equally well for `C^n` manifolds, but
later on it is a pain to carry all over the smoothness parameter, especially when one wants to deal
with `C^k` functions as there would be additional conditions `k ≤ n` everywhere. Since one deals
almost all the time with `C^∞` (or analytic) manifolds, this seems to be a reasonable choice that
one could revisit later if needed. `C^k` manifolds are still available, but they should be called
using `HasGroupoid M (contDiffGroupoid k I)` where `I` is the model with corners.
I have considered using the model with corners `I` as a typeclass argument, possibly `outParam`, to
get lighter notations later on, but it did not turn out right, as on `E × F` there are two natural
model with corners, the trivial (identity) one, and the product one, and they are not defeq and one
needs to indicate to Lean which one we want to use.
This means that when talking on objects on manifolds one will most often need to specify the model
with corners one is using. For instance, the tangent bundle will be `TangentBundle I M` and the
derivative will be `mfderiv I I' f`, instead of the more natural notations `TangentBundle 𝕜 M` and
`mfderiv 𝕜 f` (the field has to be explicit anyway, as some manifolds could be considered both as
real and complex manifolds).
-/
noncomputable section
universe u v w u' v' w'
open Set Filter Function
open scoped Manifold Filter Topology
/-- The extended natural number `∞` -/
scoped[Manifold] notation "∞" => (⊤ : ℕ∞)
/-! ### Models with corners. -/
/-- A structure containing informations on the way a space `H` embeds in a
model vector space `E` over the field `𝕜`. This is all what is needed to
define a smooth manifold with model space `H`, and model vector space `E`.
-/
@[ext] -- Porting note(#5171): was nolint has_nonempty_instance
structure ModelWithCorners (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*)
[NormedAddCommGroup E] [NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] extends
PartialEquiv H E where
source_eq : source = univ
unique_diff' : UniqueDiffOn 𝕜 toPartialEquiv.target
continuous_toFun : Continuous toFun := by continuity
continuous_invFun : Continuous invFun := by continuity
#align model_with_corners ModelWithCorners
attribute [simp, mfld_simps] ModelWithCorners.source_eq
/-- A vector space is a model with corners. -/
def modelWithCornersSelf (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*)
[NormedAddCommGroup E] [NormedSpace 𝕜 E] : ModelWithCorners 𝕜 E E where
toPartialEquiv := PartialEquiv.refl E
source_eq := rfl
unique_diff' := uniqueDiffOn_univ
continuous_toFun := continuous_id
continuous_invFun := continuous_id
#align model_with_corners_self modelWithCornersSelf
@[inherit_doc] scoped[Manifold] notation "𝓘(" 𝕜 ", " E ")" => modelWithCornersSelf 𝕜 E
/-- A normed field is a model with corners. -/
scoped[Manifold] notation "𝓘(" 𝕜 ")" => modelWithCornersSelf 𝕜 𝕜
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H)
namespace ModelWithCorners
/-- Coercion of a model with corners to a function. We don't use `e.toFun` because it is actually
`e.toPartialEquiv.toFun`, so `simp` will apply lemmas about `toPartialEquiv`. While we may want to
switch to this behavior later, doing it mid-port will break a lot of proofs. -/
@[coe] def toFun' (e : ModelWithCorners 𝕜 E H) : H → E := e.toFun
instance : CoeFun (ModelWithCorners 𝕜 E H) fun _ => H → E := ⟨toFun'⟩
/-- The inverse to a model with corners, only registered as a `PartialEquiv`. -/
protected def symm : PartialEquiv E H :=
I.toPartialEquiv.symm
#align model_with_corners.symm ModelWithCorners.symm
/-- See Note [custom simps projection]. We need to specify this projection explicitly in this case,
because it is a composition of multiple projections. -/
def Simps.apply (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*) [NormedAddCommGroup E]
[NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) : H → E :=
I
#align model_with_corners.simps.apply ModelWithCorners.Simps.apply
/-- See Note [custom simps projection] -/
def Simps.symm_apply (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*) [NormedAddCommGroup E]
[NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) : E → H :=
I.symm
#align model_with_corners.simps.symm_apply ModelWithCorners.Simps.symm_apply
initialize_simps_projections ModelWithCorners (toFun → apply, invFun → symm_apply)
-- Register a few lemmas to make sure that `simp` puts expressions in normal form
@[simp, mfld_simps]
theorem toPartialEquiv_coe : (I.toPartialEquiv : H → E) = I :=
rfl
#align model_with_corners.to_local_equiv_coe ModelWithCorners.toPartialEquiv_coe
@[simp, mfld_simps]
theorem mk_coe (e : PartialEquiv H E) (a b c d) :
((ModelWithCorners.mk e a b c d : ModelWithCorners 𝕜 E H) : H → E) = (e : H → E) :=
rfl
#align model_with_corners.mk_coe ModelWithCorners.mk_coe
@[simp, mfld_simps]
theorem toPartialEquiv_coe_symm : (I.toPartialEquiv.symm : E → H) = I.symm :=
rfl
#align model_with_corners.to_local_equiv_coe_symm ModelWithCorners.toPartialEquiv_coe_symm
@[simp, mfld_simps]
theorem mk_symm (e : PartialEquiv H E) (a b c d) :
(ModelWithCorners.mk e a b c d : ModelWithCorners 𝕜 E H).symm = e.symm :=
rfl
#align model_with_corners.mk_symm ModelWithCorners.mk_symm
@[continuity]
protected theorem continuous : Continuous I :=
I.continuous_toFun
#align model_with_corners.continuous ModelWithCorners.continuous
protected theorem continuousAt {x} : ContinuousAt I x :=
I.continuous.continuousAt
#align model_with_corners.continuous_at ModelWithCorners.continuousAt
protected theorem continuousWithinAt {s x} : ContinuousWithinAt I s x :=
I.continuousAt.continuousWithinAt
#align model_with_corners.continuous_within_at ModelWithCorners.continuousWithinAt
@[continuity]
theorem continuous_symm : Continuous I.symm :=
I.continuous_invFun
#align model_with_corners.continuous_symm ModelWithCorners.continuous_symm
theorem continuousAt_symm {x} : ContinuousAt I.symm x :=
I.continuous_symm.continuousAt
#align model_with_corners.continuous_at_symm ModelWithCorners.continuousAt_symm
theorem continuousWithinAt_symm {s x} : ContinuousWithinAt I.symm s x :=
I.continuous_symm.continuousWithinAt
#align model_with_corners.continuous_within_at_symm ModelWithCorners.continuousWithinAt_symm
theorem continuousOn_symm {s} : ContinuousOn I.symm s :=
I.continuous_symm.continuousOn
#align model_with_corners.continuous_on_symm ModelWithCorners.continuousOn_symm
@[simp, mfld_simps]
theorem target_eq : I.target = range (I : H → E) := by
rw [← image_univ, ← I.source_eq]
exact I.image_source_eq_target.symm
#align model_with_corners.target_eq ModelWithCorners.target_eq
protected theorem unique_diff : UniqueDiffOn 𝕜 (range I) :=
I.target_eq ▸ I.unique_diff'
#align model_with_corners.unique_diff ModelWithCorners.unique_diff
@[simp, mfld_simps]
protected theorem left_inv (x : H) : I.symm (I x) = x := by refine I.left_inv' ?_; simp
#align model_with_corners.left_inv ModelWithCorners.left_inv
protected theorem leftInverse : LeftInverse I.symm I :=
I.left_inv
#align model_with_corners.left_inverse ModelWithCorners.leftInverse
theorem injective : Injective I :=
I.leftInverse.injective
#align model_with_corners.injective ModelWithCorners.injective
@[simp, mfld_simps]
theorem symm_comp_self : I.symm ∘ I = id :=
I.leftInverse.comp_eq_id
#align model_with_corners.symm_comp_self ModelWithCorners.symm_comp_self
protected theorem rightInvOn : RightInvOn I.symm I (range I) :=
I.leftInverse.rightInvOn_range
#align model_with_corners.right_inv_on ModelWithCorners.rightInvOn
@[simp, mfld_simps]
protected theorem right_inv {x : E} (hx : x ∈ range I) : I (I.symm x) = x :=
I.rightInvOn hx
#align model_with_corners.right_inv ModelWithCorners.right_inv
theorem preimage_image (s : Set H) : I ⁻¹' (I '' s) = s :=
I.injective.preimage_image s
#align model_with_corners.preimage_image ModelWithCorners.preimage_image
protected theorem image_eq (s : Set H) : I '' s = I.symm ⁻¹' s ∩ range I := by
refine (I.toPartialEquiv.image_eq_target_inter_inv_preimage ?_).trans ?_
· rw [I.source_eq]; exact subset_univ _
· rw [inter_comm, I.target_eq, I.toPartialEquiv_coe_symm]
#align model_with_corners.image_eq ModelWithCorners.image_eq
protected theorem closedEmbedding : ClosedEmbedding I :=
I.leftInverse.closedEmbedding I.continuous_symm I.continuous
#align model_with_corners.closed_embedding ModelWithCorners.closedEmbedding
theorem isClosed_range : IsClosed (range I) :=
I.closedEmbedding.isClosed_range
#align model_with_corners.closed_range ModelWithCorners.isClosed_range
@[deprecated (since := "2024-03-17")] alias closed_range := isClosed_range
theorem map_nhds_eq (x : H) : map I (𝓝 x) = 𝓝[range I] I x :=
I.closedEmbedding.toEmbedding.map_nhds_eq x
#align model_with_corners.map_nhds_eq ModelWithCorners.map_nhds_eq
theorem map_nhdsWithin_eq (s : Set H) (x : H) : map I (𝓝[s] x) = 𝓝[I '' s] I x :=
I.closedEmbedding.toEmbedding.map_nhdsWithin_eq s x
#align model_with_corners.map_nhds_within_eq ModelWithCorners.map_nhdsWithin_eq
theorem image_mem_nhdsWithin {x : H} {s : Set H} (hs : s ∈ 𝓝 x) : I '' s ∈ 𝓝[range I] I x :=
I.map_nhds_eq x ▸ image_mem_map hs
#align model_with_corners.image_mem_nhds_within ModelWithCorners.image_mem_nhdsWithin
theorem symm_map_nhdsWithin_image {x : H} {s : Set H} : map I.symm (𝓝[I '' s] I x) = 𝓝[s] x := by
rw [← I.map_nhdsWithin_eq, map_map, I.symm_comp_self, map_id]
#align model_with_corners.symm_map_nhds_within_image ModelWithCorners.symm_map_nhdsWithin_image
theorem symm_map_nhdsWithin_range (x : H) : map I.symm (𝓝[range I] I x) = 𝓝 x := by
rw [← I.map_nhds_eq, map_map, I.symm_comp_self, map_id]
#align model_with_corners.symm_map_nhds_within_range ModelWithCorners.symm_map_nhdsWithin_range
theorem unique_diff_preimage {s : Set H} (hs : IsOpen s) :
UniqueDiffOn 𝕜 (I.symm ⁻¹' s ∩ range I) := by
rw [inter_comm]
exact I.unique_diff.inter (hs.preimage I.continuous_invFun)
#align model_with_corners.unique_diff_preimage ModelWithCorners.unique_diff_preimage
theorem unique_diff_preimage_source {β : Type*} [TopologicalSpace β] {e : PartialHomeomorph H β} :
UniqueDiffOn 𝕜 (I.symm ⁻¹' e.source ∩ range I) :=
I.unique_diff_preimage e.open_source
#align model_with_corners.unique_diff_preimage_source ModelWithCorners.unique_diff_preimage_source
theorem unique_diff_at_image {x : H} : UniqueDiffWithinAt 𝕜 (range I) (I x) :=
I.unique_diff _ (mem_range_self _)
#align model_with_corners.unique_diff_at_image ModelWithCorners.unique_diff_at_image
theorem symm_continuousWithinAt_comp_right_iff {X} [TopologicalSpace X] {f : H → X} {s : Set H}
{x : H} :
ContinuousWithinAt (f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I x) ↔ ContinuousWithinAt f s x := by
refine ⟨fun h => ?_, fun h => ?_⟩
· have := h.comp I.continuousWithinAt (mapsTo_preimage _ _)
simp_rw [preimage_inter, preimage_preimage, I.left_inv, preimage_id', preimage_range,
inter_univ] at this
rwa [Function.comp.assoc, I.symm_comp_self] at this
· rw [← I.left_inv x] at h; exact h.comp I.continuousWithinAt_symm inter_subset_left
#align model_with_corners.symm_continuous_within_at_comp_right_iff ModelWithCorners.symm_continuousWithinAt_comp_right_iff
protected theorem locallyCompactSpace [LocallyCompactSpace E] (I : ModelWithCorners 𝕜 E H) :
LocallyCompactSpace H := by
have : ∀ x : H, (𝓝 x).HasBasis (fun s => s ∈ 𝓝 (I x) ∧ IsCompact s)
fun s => I.symm '' (s ∩ range I) := fun x ↦ by
rw [← I.symm_map_nhdsWithin_range]
exact ((compact_basis_nhds (I x)).inf_principal _).map _
refine .of_hasBasis this ?_
rintro x s ⟨-, hsc⟩
exact (hsc.inter_right I.isClosed_range).image I.continuous_symm
#align model_with_corners.locally_compact ModelWithCorners.locallyCompactSpace
open TopologicalSpace
protected theorem secondCountableTopology [SecondCountableTopology E] (I : ModelWithCorners 𝕜 E H) :
SecondCountableTopology H :=
I.closedEmbedding.toEmbedding.secondCountableTopology
#align model_with_corners.second_countable_topology ModelWithCorners.secondCountableTopology
end ModelWithCorners
section
variable (𝕜 E)
/-- In the trivial model with corners, the associated `PartialEquiv` is the identity. -/
@[simp, mfld_simps]
theorem modelWithCornersSelf_partialEquiv : 𝓘(𝕜, E).toPartialEquiv = PartialEquiv.refl E :=
rfl
#align model_with_corners_self_local_equiv modelWithCornersSelf_partialEquiv
@[simp, mfld_simps]
theorem modelWithCornersSelf_coe : (𝓘(𝕜, E) : E → E) = id :=
rfl
#align model_with_corners_self_coe modelWithCornersSelf_coe
@[simp, mfld_simps]
theorem modelWithCornersSelf_coe_symm : (𝓘(𝕜, E).symm : E → E) = id :=
rfl
#align model_with_corners_self_coe_symm modelWithCornersSelf_coe_symm
end
end
section ModelWithCornersProd
/-- Given two model_with_corners `I` on `(E, H)` and `I'` on `(E', H')`, we define the model with
corners `I.prod I'` on `(E × E', ModelProd H H')`. This appears in particular for the manifold
structure on the tangent bundle to a manifold modelled on `(E, H)`: it will be modelled on
`(E × E, H × E)`. See note [Manifold type tags] for explanation about `ModelProd H H'`
vs `H × H'`. -/
@[simps (config := .lemmasOnly)]
def ModelWithCorners.prod {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type w} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) {E' : Type v'} [NormedAddCommGroup E'] [NormedSpace 𝕜 E']
{H' : Type w'} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H') :
ModelWithCorners 𝕜 (E × E') (ModelProd H H') :=
{ I.toPartialEquiv.prod I'.toPartialEquiv with
toFun := fun x => (I x.1, I' x.2)
invFun := fun x => (I.symm x.1, I'.symm x.2)
source := { x | x.1 ∈ I.source ∧ x.2 ∈ I'.source }
source_eq := by simp only [setOf_true, mfld_simps]
unique_diff' := I.unique_diff'.prod I'.unique_diff'
continuous_toFun := I.continuous_toFun.prod_map I'.continuous_toFun
continuous_invFun := I.continuous_invFun.prod_map I'.continuous_invFun }
#align model_with_corners.prod ModelWithCorners.prod
/-- Given a finite family of `ModelWithCorners` `I i` on `(E i, H i)`, we define the model with
corners `pi I` on `(Π i, E i, ModelPi H)`. See note [Manifold type tags] for explanation about
`ModelPi H`. -/
def ModelWithCorners.pi {𝕜 : Type u} [NontriviallyNormedField 𝕜] {ι : Type v} [Fintype ι]
{E : ι → Type w} [∀ i, NormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] {H : ι → Type u'}
[∀ i, TopologicalSpace (H i)] (I : ∀ i, ModelWithCorners 𝕜 (E i) (H i)) :
ModelWithCorners 𝕜 (∀ i, E i) (ModelPi H) where
toPartialEquiv := PartialEquiv.pi fun i => (I i).toPartialEquiv
source_eq := by simp only [pi_univ, mfld_simps]
unique_diff' := UniqueDiffOn.pi ι E _ _ fun i _ => (I i).unique_diff'
continuous_toFun := continuous_pi fun i => (I i).continuous.comp (continuous_apply i)
continuous_invFun := continuous_pi fun i => (I i).continuous_symm.comp (continuous_apply i)
#align model_with_corners.pi ModelWithCorners.pi
/-- Special case of product model with corners, which is trivial on the second factor. This shows up
as the model to tangent bundles. -/
abbrev ModelWithCorners.tangent {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type w} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) : ModelWithCorners 𝕜 (E × E) (ModelProd H E) :=
I.prod 𝓘(𝕜, E)
#align model_with_corners.tangent ModelWithCorners.tangent
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {F : Type*}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {F' : Type*} [NormedAddCommGroup F'] [NormedSpace 𝕜 F']
{H : Type*} [TopologicalSpace H] {H' : Type*} [TopologicalSpace H'] {G : Type*}
[TopologicalSpace G] {G' : Type*} [TopologicalSpace G'] {I : ModelWithCorners 𝕜 E H}
{J : ModelWithCorners 𝕜 F G}
@[simp, mfld_simps]
theorem modelWithCorners_prod_toPartialEquiv :
(I.prod J).toPartialEquiv = I.toPartialEquiv.prod J.toPartialEquiv :=
rfl
#align model_with_corners_prod_to_local_equiv modelWithCorners_prod_toPartialEquiv
@[simp, mfld_simps]
theorem modelWithCorners_prod_coe (I : ModelWithCorners 𝕜 E H) (I' : ModelWithCorners 𝕜 E' H') :
(I.prod I' : _ × _ → _ × _) = Prod.map I I' :=
rfl
#align model_with_corners_prod_coe modelWithCorners_prod_coe
@[simp, mfld_simps]
theorem modelWithCorners_prod_coe_symm (I : ModelWithCorners 𝕜 E H)
(I' : ModelWithCorners 𝕜 E' H') :
((I.prod I').symm : _ × _ → _ × _) = Prod.map I.symm I'.symm :=
rfl
#align model_with_corners_prod_coe_symm modelWithCorners_prod_coe_symm
theorem modelWithCornersSelf_prod : 𝓘(𝕜, E × F) = 𝓘(𝕜, E).prod 𝓘(𝕜, F) := by ext1 <;> simp
#align model_with_corners_self_prod modelWithCornersSelf_prod
theorem ModelWithCorners.range_prod : range (I.prod J) = range I ×ˢ range J := by
simp_rw [← ModelWithCorners.target_eq]; rfl
#align model_with_corners.range_prod ModelWithCorners.range_prod
end ModelWithCornersProd
section Boundaryless
/-- Property ensuring that the model with corners `I` defines manifolds without boundary. This
differs from the more general `BoundarylessManifold`, which requires every point on the manifold
to be an interior point. -/
class ModelWithCorners.Boundaryless {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) : Prop where
range_eq_univ : range I = univ
#align model_with_corners.boundaryless ModelWithCorners.Boundaryless
theorem ModelWithCorners.range_eq_univ {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) [I.Boundaryless] :
range I = univ := ModelWithCorners.Boundaryless.range_eq_univ
/-- If `I` is a `ModelWithCorners.Boundaryless` model, then it is a homeomorphism. -/
@[simps (config := {simpRhs := true})]
def ModelWithCorners.toHomeomorph {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) [I.Boundaryless] : H ≃ₜ E where
__ := I
left_inv := I.left_inv
right_inv _ := I.right_inv <| I.range_eq_univ.symm ▸ mem_univ _
/-- The trivial model with corners has no boundary -/
instance modelWithCornersSelf_boundaryless (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*)
[NormedAddCommGroup E] [NormedSpace 𝕜 E] : (modelWithCornersSelf 𝕜 E).Boundaryless :=
⟨by simp⟩
#align model_with_corners_self_boundaryless modelWithCornersSelf_boundaryless
/-- If two model with corners are boundaryless, their product also is -/
instance ModelWithCorners.range_eq_univ_prod {𝕜 : Type u} [NontriviallyNormedField 𝕜] {E : Type v}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type w} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) [I.Boundaryless] {E' : Type v'} [NormedAddCommGroup E']
[NormedSpace 𝕜 E'] {H' : Type w'} [TopologicalSpace H'] (I' : ModelWithCorners 𝕜 E' H')
[I'.Boundaryless] : (I.prod I').Boundaryless := by
constructor
dsimp [ModelWithCorners.prod, ModelProd]
rw [← prod_range_range_eq, ModelWithCorners.Boundaryless.range_eq_univ,
ModelWithCorners.Boundaryless.range_eq_univ, univ_prod_univ]
#align model_with_corners.range_eq_univ_prod ModelWithCorners.range_eq_univ_prod
end Boundaryless
section contDiffGroupoid
/-! ### Smooth functions on models with corners -/
variable {m n : ℕ∞} {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M]
variable (n)
/-- Given a model with corners `(E, H)`, we define the pregroupoid of `C^n` transformations of `H`
as the maps that are `C^n` when read in `E` through `I`. -/
def contDiffPregroupoid : Pregroupoid H where
property f s := ContDiffOn 𝕜 n (I ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I)
comp {f g u v} hf hg _ _ _ := by
have : I ∘ (g ∘ f) ∘ I.symm = (I ∘ g ∘ I.symm) ∘ I ∘ f ∘ I.symm := by ext x; simp
simp only [this]
refine hg.comp (hf.mono fun x ⟨hx1, hx2⟩ ↦ ⟨hx1.1, hx2⟩) ?_
rintro x ⟨hx1, _⟩
simp only [mfld_simps] at hx1 ⊢
exact hx1.2
id_mem := by
apply ContDiffOn.congr contDiff_id.contDiffOn
rintro x ⟨_, hx2⟩
rcases mem_range.1 hx2 with ⟨y, hy⟩
rw [← hy]
simp only [mfld_simps]
locality {f u} _ H := by
apply contDiffOn_of_locally_contDiffOn
rintro y ⟨hy1, hy2⟩
rcases mem_range.1 hy2 with ⟨x, hx⟩
rw [← hx] at hy1 ⊢
simp only [mfld_simps] at hy1 ⊢
rcases H x hy1 with ⟨v, v_open, xv, hv⟩
have : I.symm ⁻¹' (u ∩ v) ∩ range I = I.symm ⁻¹' u ∩ range I ∩ I.symm ⁻¹' v := by
rw [preimage_inter, inter_assoc, inter_assoc]
congr 1
rw [inter_comm]
rw [this] at hv
exact ⟨I.symm ⁻¹' v, v_open.preimage I.continuous_symm, by simpa, hv⟩
congr {f g u} _ fg hf := by
apply hf.congr
rintro y ⟨hy1, hy2⟩
rcases mem_range.1 hy2 with ⟨x, hx⟩
rw [← hx] at hy1 ⊢
simp only [mfld_simps] at hy1 ⊢
rw [fg _ hy1]
/-- Given a model with corners `(E, H)`, we define the groupoid of invertible `C^n` transformations
of `H` as the invertible maps that are `C^n` when read in `E` through `I`. -/
def contDiffGroupoid : StructureGroupoid H :=
Pregroupoid.groupoid (contDiffPregroupoid n I)
#align cont_diff_groupoid contDiffGroupoid
variable {n}
/-- Inclusion of the groupoid of `C^n` local diffeos in the groupoid of `C^m` local diffeos when
`m ≤ n` -/
theorem contDiffGroupoid_le (h : m ≤ n) : contDiffGroupoid n I ≤ contDiffGroupoid m I := by
rw [contDiffGroupoid, contDiffGroupoid]
apply groupoid_of_pregroupoid_le
intro f s hfs
exact ContDiffOn.of_le hfs h
#align cont_diff_groupoid_le contDiffGroupoid_le
/-- The groupoid of `0`-times continuously differentiable maps is just the groupoid of all
partial homeomorphisms -/
theorem contDiffGroupoid_zero_eq : contDiffGroupoid 0 I = continuousGroupoid H := by
apply le_antisymm le_top
intro u _
-- we have to check that every partial homeomorphism belongs to `contDiffGroupoid 0 I`,
-- by unfolding its definition
change u ∈ contDiffGroupoid 0 I
rw [contDiffGroupoid, mem_groupoid_of_pregroupoid, contDiffPregroupoid]
simp only [contDiffOn_zero]
constructor
· refine I.continuous.comp_continuousOn (u.continuousOn.comp I.continuousOn_symm ?_)
exact (mapsTo_preimage _ _).mono_left inter_subset_left
· refine I.continuous.comp_continuousOn (u.symm.continuousOn.comp I.continuousOn_symm ?_)
exact (mapsTo_preimage _ _).mono_left inter_subset_left
#align cont_diff_groupoid_zero_eq contDiffGroupoid_zero_eq
variable (n)
/-- An identity partial homeomorphism belongs to the `C^n` groupoid. -/
theorem ofSet_mem_contDiffGroupoid {s : Set H} (hs : IsOpen s) :
PartialHomeomorph.ofSet s hs ∈ contDiffGroupoid n I := by
rw [contDiffGroupoid, mem_groupoid_of_pregroupoid]
suffices h : ContDiffOn 𝕜 n (I ∘ I.symm) (I.symm ⁻¹' s ∩ range I) by
simp [h, contDiffPregroupoid]
have : ContDiffOn 𝕜 n id (univ : Set E) := contDiff_id.contDiffOn
exact this.congr_mono (fun x hx => I.right_inv hx.2) (subset_univ _)
#align of_set_mem_cont_diff_groupoid ofSet_mem_contDiffGroupoid
/-- The composition of a partial homeomorphism from `H` to `M` and its inverse belongs to
the `C^n` groupoid. -/
theorem symm_trans_mem_contDiffGroupoid (e : PartialHomeomorph M H) :
e.symm.trans e ∈ contDiffGroupoid n I :=
haveI : e.symm.trans e ≈ PartialHomeomorph.ofSet e.target e.open_target :=
PartialHomeomorph.symm_trans_self _
StructureGroupoid.mem_of_eqOnSource _ (ofSet_mem_contDiffGroupoid n I e.open_target) this
#align symm_trans_mem_cont_diff_groupoid symm_trans_mem_contDiffGroupoid
variable {E' H' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] [TopologicalSpace H']
/-- The product of two smooth partial homeomorphisms is smooth. -/
theorem contDiffGroupoid_prod {I : ModelWithCorners 𝕜 E H} {I' : ModelWithCorners 𝕜 E' H'}
{e : PartialHomeomorph H H} {e' : PartialHomeomorph H' H'} (he : e ∈ contDiffGroupoid ⊤ I)
(he' : e' ∈ contDiffGroupoid ⊤ I') : e.prod e' ∈ contDiffGroupoid ⊤ (I.prod I') := by
cases' he with he he_symm
cases' he' with he' he'_symm
simp only at he he_symm he' he'_symm
constructor <;> simp only [PartialEquiv.prod_source, PartialHomeomorph.prod_toPartialEquiv,
contDiffPregroupoid]
· have h3 := ContDiffOn.prod_map he he'
rw [← I.image_eq, ← I'.image_eq, prod_image_image_eq] at h3
rw [← (I.prod I').image_eq]
exact h3
· have h3 := ContDiffOn.prod_map he_symm he'_symm
rw [← I.image_eq, ← I'.image_eq, prod_image_image_eq] at h3
rw [← (I.prod I').image_eq]
exact h3
#align cont_diff_groupoid_prod contDiffGroupoid_prod
/-- The `C^n` groupoid is closed under restriction. -/
instance : ClosedUnderRestriction (contDiffGroupoid n I) :=
(closedUnderRestriction_iff_id_le _).mpr
(by
rw [StructureGroupoid.le_iff]
rintro e ⟨s, hs, hes⟩
apply (contDiffGroupoid n I).mem_of_eqOnSource' _ _ _ hes
exact ofSet_mem_contDiffGroupoid n I hs)
end contDiffGroupoid
section analyticGroupoid
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M]
/-- Given a model with corners `(E, H)`, we define the groupoid of analytic transformations of `H`
as the maps that are analytic and map interior to interior when read in `E` through `I`. We also
explicitly define that they are `C^∞` on the whole domain, since we are only requiring
analyticity on the interior of the domain. -/
def analyticGroupoid : StructureGroupoid H :=
(contDiffGroupoid ∞ I) ⊓ Pregroupoid.groupoid
{ property := fun f s => AnalyticOn 𝕜 (I ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ interior (range I)) ∧
(I.symm ⁻¹' s ∩ interior (range I)).image (I ∘ f ∘ I.symm) ⊆ interior (range I)
comp := fun {f g u v} hf hg _ _ _ => by
simp only [] at hf hg ⊢
have comp : I ∘ (g ∘ f) ∘ I.symm = (I ∘ g ∘ I.symm) ∘ I ∘ f ∘ I.symm := by ext x; simp
apply And.intro
· simp only [comp, preimage_inter]
refine hg.left.comp (hf.left.mono ?_) ?_
· simp only [subset_inter_iff, inter_subset_right]
rw [inter_assoc]
simp
· intro x hx
apply And.intro
· rw [mem_preimage, comp_apply, I.left_inv]
exact hx.left.right
· apply hf.right
rw [mem_image]
exact ⟨x, ⟨⟨hx.left.left, hx.right⟩, rfl⟩⟩
· simp only [comp]
rw [image_comp]
intro x hx
rw [mem_image] at hx
rcases hx with ⟨x', hx'⟩
refine hg.right ⟨x', And.intro ?_ hx'.right⟩
apply And.intro
· have hx'1 : x' ∈ ((v.preimage f).preimage (I.symm)).image (I ∘ f ∘ I.symm) := by
refine image_subset (I ∘ f ∘ I.symm) ?_ hx'.left
rw [preimage_inter]
refine Subset.trans ?_ (u.preimage I.symm).inter_subset_right
apply inter_subset_left
rcases hx'1 with ⟨x'', hx''⟩
rw [hx''.right.symm]
simp only [comp_apply, mem_preimage, I.left_inv]
exact hx''.left
· rw [mem_image] at hx'
rcases hx'.left with ⟨x'', hx''⟩
exact hf.right ⟨x'', ⟨⟨hx''.left.left.left, hx''.left.right⟩, hx''.right⟩⟩
id_mem := by
apply And.intro
· simp only [preimage_univ, univ_inter]
exact AnalyticOn.congr isOpen_interior
(f := (1 : E →L[𝕜] E)) (fun x _ => (1 : E →L[𝕜] E).analyticAt x)
(fun z hz => (I.right_inv (interior_subset hz)).symm)
· intro x hx
simp only [id_comp, comp_apply, preimage_univ, univ_inter, mem_image] at hx
rcases hx with ⟨y, hy⟩
rw [← hy.right, I.right_inv (interior_subset hy.left)]
exact hy.left
locality := fun {f u} _ h => by
simp only [] at h
simp only [AnalyticOn]
apply And.intro
· intro x hx
rcases h (I.symm x) (mem_preimage.mp hx.left) with ⟨v, hv⟩
exact hv.right.right.left x ⟨mem_preimage.mpr ⟨hx.left, hv.right.left⟩, hx.right⟩
· apply mapsTo'.mp
simp only [MapsTo]
intro x hx
rcases h (I.symm x) hx.left with ⟨v, hv⟩
apply hv.right.right.right
rw [mem_image]
have hx' := And.intro hx (mem_preimage.mpr hv.right.left)
rw [← mem_inter_iff, inter_comm, ← inter_assoc, ← preimage_inter, inter_comm v u] at hx'
exact ⟨x, ⟨hx', rfl⟩⟩
congr := fun {f g u} hu fg hf => by
simp only [] at hf ⊢
apply And.intro
· refine AnalyticOn.congr (IsOpen.inter (hu.preimage I.continuous_symm) isOpen_interior)
hf.left ?_
intro z hz
simp only [comp_apply]
rw [fg (I.symm z) hz.left]
· intro x hx
apply hf.right
rw [mem_image] at hx ⊢
rcases hx with ⟨y, hy⟩
refine ⟨y, ⟨hy.left, ?_⟩⟩
rw [comp_apply, comp_apply, fg (I.symm y) hy.left.left] at hy
exact hy.right }
/-- An identity partial homeomorphism belongs to the analytic groupoid. -/
theorem ofSet_mem_analyticGroupoid {s : Set H} (hs : IsOpen s) :
PartialHomeomorph.ofSet s hs ∈ analyticGroupoid I := by
rw [analyticGroupoid]
refine And.intro (ofSet_mem_contDiffGroupoid ∞ I hs) ?_
apply mem_groupoid_of_pregroupoid.mpr
suffices h : AnalyticOn 𝕜 (I ∘ I.symm) (I.symm ⁻¹' s ∩ interior (range I)) ∧
(I.symm ⁻¹' s ∩ interior (range I)).image (I ∘ I.symm) ⊆ interior (range I) by
simp only [PartialHomeomorph.ofSet_apply, id_comp, PartialHomeomorph.ofSet_toPartialEquiv,
PartialEquiv.ofSet_source, h, comp_apply, mem_range, image_subset_iff, true_and,
PartialHomeomorph.ofSet_symm, PartialEquiv.ofSet_target, and_self]
intro x hx
refine mem_preimage.mpr ?_
rw [← I.right_inv (interior_subset hx.right)] at hx
exact hx.right
apply And.intro
· have : AnalyticOn 𝕜 (1 : E →L[𝕜] E) (univ : Set E) := (fun x _ => (1 : E →L[𝕜] E).analyticAt x)
exact (this.mono (subset_univ (s.preimage (I.symm) ∩ interior (range I)))).congr
((hs.preimage I.continuous_symm).inter isOpen_interior)
fun z hz => (I.right_inv (interior_subset hz.right)).symm
· intro x hx
simp only [comp_apply, mem_image] at hx
rcases hx with ⟨y, hy⟩
rw [← hy.right, I.right_inv (interior_subset hy.left.right)]
exact hy.left.right
/-- The composition of a partial homeomorphism from `H` to `M` and its inverse belongs to
the analytic groupoid. -/
theorem symm_trans_mem_analyticGroupoid (e : PartialHomeomorph M H) :
e.symm.trans e ∈ analyticGroupoid I :=
haveI : e.symm.trans e ≈ PartialHomeomorph.ofSet e.target e.open_target :=
PartialHomeomorph.symm_trans_self _
StructureGroupoid.mem_of_eqOnSource _ (ofSet_mem_analyticGroupoid I e.open_target) this
/-- The analytic groupoid is closed under restriction. -/
instance : ClosedUnderRestriction (analyticGroupoid I) :=
(closedUnderRestriction_iff_id_le _).mpr
(by
rw [StructureGroupoid.le_iff]
rintro e ⟨s, hs, hes⟩
apply (analyticGroupoid I).mem_of_eqOnSource' _ _ _ hes
exact ofSet_mem_analyticGroupoid I hs)
/-- The analytic groupoid on a boundaryless charted space modeled on a complete vector space
consists of the partial homeomorphisms which are analytic and have analytic inverse. -/
theorem mem_analyticGroupoid_of_boundaryless [CompleteSpace E] [I.Boundaryless]
(e : PartialHomeomorph H H) :
e ∈ analyticGroupoid I ↔ AnalyticOn 𝕜 (I ∘ e ∘ I.symm) (I '' e.source) ∧
AnalyticOn 𝕜 (I ∘ e.symm ∘ I.symm) (I '' e.target) := by
apply Iff.intro
· intro he
have := mem_groupoid_of_pregroupoid.mp he.right
simp only [I.image_eq, I.range_eq_univ, interior_univ, subset_univ, and_true] at this ⊢
exact this
· intro he
apply And.intro
all_goals apply mem_groupoid_of_pregroupoid.mpr; simp only [I.image_eq, I.range_eq_univ,
interior_univ, subset_univ, and_true, contDiffPregroupoid] at he ⊢
· exact ⟨he.left.contDiffOn, he.right.contDiffOn⟩
· exact he
end analyticGroupoid
section SmoothManifoldWithCorners
/-! ### Smooth manifolds with corners -/
/-- Typeclass defining smooth manifolds with corners with respect to a model with corners, over a
field `𝕜` and with infinite smoothness to simplify typeclass search and statements later on. -/
class SmoothManifoldWithCorners {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) (M : Type*) [TopologicalSpace M] [ChartedSpace H M] extends
HasGroupoid M (contDiffGroupoid ∞ I) : Prop
#align smooth_manifold_with_corners SmoothManifoldWithCorners
theorem SmoothManifoldWithCorners.mk' {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) (M : Type*) [TopologicalSpace M] [ChartedSpace H M]
[gr : HasGroupoid M (contDiffGroupoid ∞ I)] : SmoothManifoldWithCorners I M :=
{ gr with }
#align smooth_manifold_with_corners.mk' SmoothManifoldWithCorners.mk'
theorem smoothManifoldWithCorners_of_contDiffOn {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) (M : Type*) [TopologicalSpace M] [ChartedSpace H M]
(h : ∀ e e' : PartialHomeomorph M H, e ∈ atlas H M → e' ∈ atlas H M →
ContDiffOn 𝕜 ⊤ (I ∘ e.symm ≫ₕ e' ∘ I.symm) (I.symm ⁻¹' (e.symm ≫ₕ e').source ∩ range I)) :
SmoothManifoldWithCorners I M where
compatible := by
haveI : HasGroupoid M (contDiffGroupoid ∞ I) := hasGroupoid_of_pregroupoid _ (h _ _)
apply StructureGroupoid.compatible
#align smooth_manifold_with_corners_of_cont_diff_on smoothManifoldWithCorners_of_contDiffOn
/-- For any model with corners, the model space is a smooth manifold -/
instance model_space_smooth {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
{I : ModelWithCorners 𝕜 E H} : SmoothManifoldWithCorners I H :=
{ hasGroupoid_model_space _ _ with }
#align model_space_smooth model_space_smooth
end SmoothManifoldWithCorners
namespace SmoothManifoldWithCorners
/- We restate in the namespace `SmoothManifoldWithCorners` some lemmas that hold for general
charted space with a structure groupoid, avoiding the need to specify the groupoid
`contDiffGroupoid ∞ I` explicitly. -/
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) (M : Type*)
[TopologicalSpace M] [ChartedSpace H M]
/-- The maximal atlas of `M` for the smooth manifold with corners structure corresponding to the
model with corners `I`. -/
def maximalAtlas :=
(contDiffGroupoid ∞ I).maximalAtlas M
#align smooth_manifold_with_corners.maximal_atlas SmoothManifoldWithCorners.maximalAtlas
variable {M}
theorem subset_maximalAtlas [SmoothManifoldWithCorners I M] : atlas H M ⊆ maximalAtlas I M :=
StructureGroupoid.subset_maximalAtlas _
#align smooth_manifold_with_corners.subset_maximal_atlas SmoothManifoldWithCorners.subset_maximalAtlas
theorem chart_mem_maximalAtlas [SmoothManifoldWithCorners I M] (x : M) :
chartAt H x ∈ maximalAtlas I M :=
StructureGroupoid.chart_mem_maximalAtlas _ x
#align smooth_manifold_with_corners.chart_mem_maximal_atlas SmoothManifoldWithCorners.chart_mem_maximalAtlas
variable {I}
theorem compatible_of_mem_maximalAtlas {e e' : PartialHomeomorph M H} (he : e ∈ maximalAtlas I M)
(he' : e' ∈ maximalAtlas I M) : e.symm.trans e' ∈ contDiffGroupoid ∞ I :=
StructureGroupoid.compatible_of_mem_maximalAtlas he he'
#align smooth_manifold_with_corners.compatible_of_mem_maximal_atlas SmoothManifoldWithCorners.compatible_of_mem_maximalAtlas
/-- The product of two smooth manifolds with corners is naturally a smooth manifold with corners. -/
instance prod {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H : Type*}
[TopologicalSpace H] {I : ModelWithCorners 𝕜 E H} {H' : Type*} [TopologicalSpace H']
{I' : ModelWithCorners 𝕜 E' H'} (M : Type*) [TopologicalSpace M] [ChartedSpace H M]
[SmoothManifoldWithCorners I M] (M' : Type*) [TopologicalSpace M'] [ChartedSpace H' M']
[SmoothManifoldWithCorners I' M'] : SmoothManifoldWithCorners (I.prod I') (M × M') where
compatible := by
rintro f g ⟨f1, hf1, f2, hf2, rfl⟩ ⟨g1, hg1, g2, hg2, rfl⟩
rw [PartialHomeomorph.prod_symm, PartialHomeomorph.prod_trans]
have h1 := (contDiffGroupoid ⊤ I).compatible hf1 hg1
have h2 := (contDiffGroupoid ⊤ I').compatible hf2 hg2
exact contDiffGroupoid_prod h1 h2
#align smooth_manifold_with_corners.prod SmoothManifoldWithCorners.prod
end SmoothManifoldWithCorners
theorem PartialHomeomorph.singleton_smoothManifoldWithCorners
{𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
{H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H)
{M : Type*} [TopologicalSpace M] (e : PartialHomeomorph M H) (h : e.source = Set.univ) :
@SmoothManifoldWithCorners 𝕜 _ E _ _ H _ I M _ (e.singletonChartedSpace h) :=
@SmoothManifoldWithCorners.mk' _ _ _ _ _ _ _ _ _ _ (id _) <|
e.singleton_hasGroupoid h (contDiffGroupoid ∞ I)
#align local_homeomorph.singleton_smooth_manifold_with_corners PartialHomeomorph.singleton_smoothManifoldWithCorners
theorem OpenEmbedding.singleton_smoothManifoldWithCorners {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [Nonempty M] {f : M → H}
(h : OpenEmbedding f) :
@SmoothManifoldWithCorners 𝕜 _ E _ _ H _ I M _ h.singletonChartedSpace :=
(h.toPartialHomeomorph f).singleton_smoothManifoldWithCorners I (by simp)
#align open_embedding.singleton_smooth_manifold_with_corners OpenEmbedding.singleton_smoothManifoldWithCorners
namespace TopologicalSpace.Opens
open TopologicalSpace
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] (s : Opens M)
instance : SmoothManifoldWithCorners I s :=
{ s.instHasGroupoid (contDiffGroupoid ∞ I) with }
end TopologicalSpace.Opens
section ExtendedCharts
open scoped Topology
variable {𝕜 E M H E' M' H' : Type*} [NontriviallyNormedField 𝕜] [NormedAddCommGroup E]
[NormedSpace 𝕜 E] [TopologicalSpace H] [TopologicalSpace M] (f f' : PartialHomeomorph M H)
(I : ModelWithCorners 𝕜 E H) [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] [TopologicalSpace H']
[TopologicalSpace M'] (I' : ModelWithCorners 𝕜 E' H') {s t : Set M}
/-!
### Extended charts
In a smooth manifold with corners, the model space is the space `H`. However, we will also
need to use extended charts taking values in the model vector space `E`. These extended charts are
not `PartialHomeomorph` as the target is not open in `E` in general, but we can still register them
as `PartialEquiv`.
-/
namespace PartialHomeomorph
/-- Given a chart `f` on a manifold with corners, `f.extend I` is the extended chart to the model
vector space. -/
@[simp, mfld_simps]
def extend : PartialEquiv M E :=
f.toPartialEquiv ≫ I.toPartialEquiv
#align local_homeomorph.extend PartialHomeomorph.extend
theorem extend_coe : ⇑(f.extend I) = I ∘ f :=
rfl
#align local_homeomorph.extend_coe PartialHomeomorph.extend_coe
theorem extend_coe_symm : ⇑(f.extend I).symm = f.symm ∘ I.symm :=
rfl
#align local_homeomorph.extend_coe_symm PartialHomeomorph.extend_coe_symm
theorem extend_source : (f.extend I).source = f.source := by
rw [extend, PartialEquiv.trans_source, I.source_eq, preimage_univ, inter_univ]
#align local_homeomorph.extend_source PartialHomeomorph.extend_source
theorem isOpen_extend_source : IsOpen (f.extend I).source := by
rw [extend_source]
exact f.open_source
#align local_homeomorph.is_open_extend_source PartialHomeomorph.isOpen_extend_source
theorem extend_target : (f.extend I).target = I.symm ⁻¹' f.target ∩ range I := by
simp_rw [extend, PartialEquiv.trans_target, I.target_eq, I.toPartialEquiv_coe_symm, inter_comm]
#align local_homeomorph.extend_target PartialHomeomorph.extend_target
theorem extend_target' : (f.extend I).target = I '' f.target := by
rw [extend, PartialEquiv.trans_target'', I.source_eq, univ_inter, I.toPartialEquiv_coe]
lemma isOpen_extend_target [I.Boundaryless] : IsOpen (f.extend I).target := by
rw [extend_target, I.range_eq_univ, inter_univ]
exact I.continuous_symm.isOpen_preimage _ f.open_target
theorem mapsTo_extend (hs : s ⊆ f.source) :
MapsTo (f.extend I) s ((f.extend I).symm ⁻¹' s ∩ range I) := by
rw [mapsTo', extend_coe, extend_coe_symm, preimage_comp, ← I.image_eq, image_comp,
f.image_eq_target_inter_inv_preimage hs]
exact image_subset _ inter_subset_right
#align local_homeomorph.maps_to_extend PartialHomeomorph.mapsTo_extend
theorem extend_left_inv {x : M} (hxf : x ∈ f.source) : (f.extend I).symm (f.extend I x) = x :=
(f.extend I).left_inv <| by rwa [f.extend_source]
#align local_homeomorph.extend_left_inv PartialHomeomorph.extend_left_inv
/-- Variant of `f.extend_left_inv I`, stated in terms of images. -/
lemma extend_left_inv' (ht: t ⊆ f.source) : ((f.extend I).symm ∘ (f.extend I)) '' t = t :=
EqOn.image_eq_self (fun _ hx ↦ f.extend_left_inv I (ht hx))
theorem extend_source_mem_nhds {x : M} (h : x ∈ f.source) : (f.extend I).source ∈ 𝓝 x :=
(isOpen_extend_source f I).mem_nhds <| by rwa [f.extend_source I]
#align local_homeomorph.extend_source_mem_nhds PartialHomeomorph.extend_source_mem_nhds
theorem extend_source_mem_nhdsWithin {x : M} (h : x ∈ f.source) : (f.extend I).source ∈ 𝓝[s] x :=
mem_nhdsWithin_of_mem_nhds <| extend_source_mem_nhds f I h
#align local_homeomorph.extend_source_mem_nhds_within PartialHomeomorph.extend_source_mem_nhdsWithin
theorem continuousOn_extend : ContinuousOn (f.extend I) (f.extend I).source := by
refine I.continuous.comp_continuousOn ?_
rw [extend_source]
exact f.continuousOn
#align local_homeomorph.continuous_on_extend PartialHomeomorph.continuousOn_extend
theorem continuousAt_extend {x : M} (h : x ∈ f.source) : ContinuousAt (f.extend I) x :=
(continuousOn_extend f I).continuousAt <| extend_source_mem_nhds f I h
#align local_homeomorph.continuous_at_extend PartialHomeomorph.continuousAt_extend
theorem map_extend_nhds {x : M} (hy : x ∈ f.source) :
map (f.extend I) (𝓝 x) = 𝓝[range I] f.extend I x := by
rwa [extend_coe, comp_apply, ← I.map_nhds_eq, ← f.map_nhds_eq, map_map]
#align local_homeomorph.map_extend_nhds PartialHomeomorph.map_extend_nhds
theorem map_extend_nhds_of_boundaryless [I.Boundaryless] {x : M} (hx : x ∈ f.source) :
map (f.extend I) (𝓝 x) = 𝓝 (f.extend I x) := by
rw [f.map_extend_nhds _ hx, I.range_eq_univ, nhdsWithin_univ]
theorem extend_target_mem_nhdsWithin {y : M} (hy : y ∈ f.source) :
(f.extend I).target ∈ 𝓝[range I] f.extend I y := by
rw [← PartialEquiv.image_source_eq_target, ← map_extend_nhds f I hy]
exact image_mem_map (extend_source_mem_nhds _ _ hy)
#align local_homeomorph.extend_target_mem_nhds_within PartialHomeomorph.extend_target_mem_nhdsWithin
theorem extend_image_nhd_mem_nhds_of_boundaryless [I.Boundaryless] {x} (hx : x ∈ f.source)
{s : Set M} (h : s ∈ 𝓝 x) : (f.extend I) '' s ∈ 𝓝 ((f.extend I) x) := by
rw [← f.map_extend_nhds_of_boundaryless _ hx, Filter.mem_map]
filter_upwards [h] using subset_preimage_image (f.extend I) s
theorem extend_target_subset_range : (f.extend I).target ⊆ range I := by simp only [mfld_simps]
#align local_homeomorph.extend_target_subset_range PartialHomeomorph.extend_target_subset_range
lemma interior_extend_target_subset_interior_range :
interior (f.extend I).target ⊆ interior (range I) := by
rw [f.extend_target, interior_inter, (f.open_target.preimage I.continuous_symm).interior_eq]
exact inter_subset_right
/-- If `y ∈ f.target` and `I y ∈ interior (range I)`,
then `I y` is an interior point of `(I ∘ f).target`. -/
lemma mem_interior_extend_target {y : H} (hy : y ∈ f.target)
(hy' : I y ∈ interior (range I)) : I y ∈ interior (f.extend I).target := by
rw [f.extend_target, interior_inter, (f.open_target.preimage I.continuous_symm).interior_eq,
mem_inter_iff, mem_preimage]
exact ⟨mem_of_eq_of_mem (I.left_inv (y)) hy, hy'⟩
theorem nhdsWithin_extend_target_eq {y : M} (hy : y ∈ f.source) :
𝓝[(f.extend I).target] f.extend I y = 𝓝[range I] f.extend I y :=
(nhdsWithin_mono _ (extend_target_subset_range _ _)).antisymm <|
nhdsWithin_le_of_mem (extend_target_mem_nhdsWithin _ _ hy)
#align local_homeomorph.nhds_within_extend_target_eq PartialHomeomorph.nhdsWithin_extend_target_eq
theorem continuousAt_extend_symm' {x : E} (h : x ∈ (f.extend I).target) :
ContinuousAt (f.extend I).symm x :=
(f.continuousAt_symm h.2).comp I.continuous_symm.continuousAt
#align local_homeomorph.continuous_at_extend_symm' PartialHomeomorph.continuousAt_extend_symm'
theorem continuousAt_extend_symm {x : M} (h : x ∈ f.source) :
ContinuousAt (f.extend I).symm (f.extend I x) :=
continuousAt_extend_symm' f I <| (f.extend I).map_source <| by rwa [f.extend_source]
#align local_homeomorph.continuous_at_extend_symm PartialHomeomorph.continuousAt_extend_symm
theorem continuousOn_extend_symm : ContinuousOn (f.extend I).symm (f.extend I).target := fun _ h =>
(continuousAt_extend_symm' _ _ h).continuousWithinAt
#align local_homeomorph.continuous_on_extend_symm PartialHomeomorph.continuousOn_extend_symm
theorem extend_symm_continuousWithinAt_comp_right_iff {X} [TopologicalSpace X] {g : M → X}
{s : Set M} {x : M} :
ContinuousWithinAt (g ∘ (f.extend I).symm) ((f.extend I).symm ⁻¹' s ∩ range I) (f.extend I x) ↔
ContinuousWithinAt (g ∘ f.symm) (f.symm ⁻¹' s) (f x) := by
rw [← I.symm_continuousWithinAt_comp_right_iff]; rfl
#align local_homeomorph.extend_symm_continuous_within_at_comp_right_iff PartialHomeomorph.extend_symm_continuousWithinAt_comp_right_iff
theorem isOpen_extend_preimage' {s : Set E} (hs : IsOpen s) :
IsOpen ((f.extend I).source ∩ f.extend I ⁻¹' s) :=
(continuousOn_extend f I).isOpen_inter_preimage (isOpen_extend_source _ _) hs
#align local_homeomorph.is_open_extend_preimage' PartialHomeomorph.isOpen_extend_preimage'
theorem isOpen_extend_preimage {s : Set E} (hs : IsOpen s) :
IsOpen (f.source ∩ f.extend I ⁻¹' s) := by
rw [← extend_source f I]; exact isOpen_extend_preimage' f I hs
#align local_homeomorph.is_open_extend_preimage PartialHomeomorph.isOpen_extend_preimage
theorem map_extend_nhdsWithin_eq_image {y : M} (hy : y ∈ f.source) :
map (f.extend I) (𝓝[s] y) = 𝓝[f.extend I '' ((f.extend I).source ∩ s)] f.extend I y := by
set e := f.extend I
calc
map e (𝓝[s] y) = map e (𝓝[e.source ∩ s] y) :=
congr_arg (map e) (nhdsWithin_inter_of_mem (extend_source_mem_nhdsWithin f I hy)).symm
_ = 𝓝[e '' (e.source ∩ s)] e y :=
((f.extend I).leftInvOn.mono inter_subset_left).map_nhdsWithin_eq
((f.extend I).left_inv <| by rwa [f.extend_source])
(continuousAt_extend_symm f I hy).continuousWithinAt
(continuousAt_extend f I hy).continuousWithinAt
#align local_homeomorph.map_extend_nhds_within_eq_image PartialHomeomorph.map_extend_nhdsWithin_eq_image
theorem map_extend_nhdsWithin_eq_image_of_subset {y : M} (hy : y ∈ f.source) (hs : s ⊆ f.source) :
map (f.extend I) (𝓝[s] y) = 𝓝[f.extend I '' s] f.extend I y := by
rw [map_extend_nhdsWithin_eq_image _ _ hy, inter_eq_self_of_subset_right]
rwa [extend_source]
| Mathlib/Geometry/Manifold/SmoothManifoldWithCorners.lean | 1,117 | 1,121 | theorem map_extend_nhdsWithin {y : M} (hy : y ∈ f.source) :
map (f.extend I) (𝓝[s] y) = 𝓝[(f.extend I).symm ⁻¹' s ∩ range I] f.extend I y := by |
rw [map_extend_nhdsWithin_eq_image f I hy, nhdsWithin_inter, ←
nhdsWithin_extend_target_eq _ _ hy, ← nhdsWithin_inter, (f.extend I).image_source_inter_eq',
inter_comm]
|
/-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov, Patrick Massot
-/
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Algebra.Order.Interval.Set.Monoid
import Mathlib.Data.Set.Pointwise.Basic
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Group.MinMax
#align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
/-!
# (Pre)images of intervals
In this file we prove a bunch of trivial lemmas like “if we add `a` to all points of `[b, c]`,
then we get `[a + b, a + c]`”. For the functions `x ↦ x ± a`, `x ↦ a ± x`, and `x ↦ -x` we prove
lemmas about preimages and images of all intervals. We also prove a few lemmas about images under
`x ↦ a * x`, `x ↦ x * a` and `x ↦ x⁻¹`.
-/
open Interval Pointwise
variable {α : Type*}
namespace Set
/-! ### Binary pointwise operations
Note that the subset operations below only cover the cases with the largest possible intervals on
the LHS: to conclude that `Ioo a b * Ioo c d ⊆ Ioo (a * c) (c * d)`, you can use monotonicity of `*`
and `Set.Ico_mul_Ioc_subset`.
TODO: repeat these lemmas for the generality of `mul_le_mul` (which assumes nonnegativity), which
the unprimed names have been reserved for
-/
section ContravariantLE
variable [Mul α] [Preorder α]
variable [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (Function.swap HMul.hMul) LE.le]
@[to_additive Icc_add_Icc_subset]
theorem Icc_mul_Icc_subset' (a b c d : α) : Icc a b * Icc c d ⊆ Icc (a * c) (b * d) := by
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_le_mul' hya hzc, mul_le_mul' hyb hzd⟩
@[to_additive Iic_add_Iic_subset]
theorem Iic_mul_Iic_subset' (a b : α) : Iic a * Iic b ⊆ Iic (a * b) := by
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_le_mul' hya hzb
@[to_additive Ici_add_Ici_subset]
theorem Ici_mul_Ici_subset' (a b : α) : Ici a * Ici b ⊆ Ici (a * b) := by
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_le_mul' hya hzb
end ContravariantLE
section ContravariantLT
variable [Mul α] [PartialOrder α]
variable [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (Function.swap HMul.hMul) LT.lt]
@[to_additive Icc_add_Ico_subset]
theorem Icc_mul_Ico_subset' (a b c d : α) : Icc a b * Ico c d ⊆ Ico (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_le_mul' hya hzc, mul_lt_mul_of_le_of_lt hyb hzd⟩
@[to_additive Ico_add_Icc_subset]
theorem Ico_mul_Icc_subset' (a b c d : α) : Ico a b * Icc c d ⊆ Ico (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_le_mul' hya hzc, mul_lt_mul_of_lt_of_le hyb hzd⟩
@[to_additive Ioc_add_Ico_subset]
theorem Ioc_mul_Ico_subset' (a b c d : α) : Ioc a b * Ico c d ⊆ Ioo (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_lt_mul_of_lt_of_le hya hzc, mul_lt_mul_of_le_of_lt hyb hzd⟩
@[to_additive Ico_add_Ioc_subset]
theorem Ico_mul_Ioc_subset' (a b c d : α) : Ico a b * Ioc c d ⊆ Ioo (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_lt_mul_of_le_of_lt hya hzc, mul_lt_mul_of_lt_of_le hyb hzd⟩
@[to_additive Iic_add_Iio_subset]
theorem Iic_mul_Iio_subset' (a b : α) : Iic a * Iio b ⊆ Iio (a * b) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_lt_mul_of_le_of_lt hya hzb
@[to_additive Iio_add_Iic_subset]
theorem Iio_mul_Iic_subset' (a b : α) : Iio a * Iic b ⊆ Iio (a * b) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_lt_mul_of_lt_of_le hya hzb
@[to_additive Ioi_add_Ici_subset]
theorem Ioi_mul_Ici_subset' (a b : α) : Ioi a * Ici b ⊆ Ioi (a * b) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_lt_mul_of_lt_of_le hya hzb
@[to_additive Ici_add_Ioi_subset]
theorem Ici_mul_Ioi_subset' (a b : α) : Ici a * Ioi b ⊆ Ioi (a * b) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, hya, z, hzb, rfl⟩
exact mul_lt_mul_of_le_of_lt hya hzb
end ContravariantLT
section OrderedAddCommGroup
variable [OrderedAddCommGroup α] (a b c : α)
/-!
### Preimages under `x ↦ a + x`
-/
@[simp]
theorem preimage_const_add_Ici : (fun x => a + x) ⁻¹' Ici b = Ici (b - a) :=
ext fun _x => sub_le_iff_le_add'.symm
#align set.preimage_const_add_Ici Set.preimage_const_add_Ici
@[simp]
theorem preimage_const_add_Ioi : (fun x => a + x) ⁻¹' Ioi b = Ioi (b - a) :=
ext fun _x => sub_lt_iff_lt_add'.symm
#align set.preimage_const_add_Ioi Set.preimage_const_add_Ioi
@[simp]
theorem preimage_const_add_Iic : (fun x => a + x) ⁻¹' Iic b = Iic (b - a) :=
ext fun _x => le_sub_iff_add_le'.symm
#align set.preimage_const_add_Iic Set.preimage_const_add_Iic
@[simp]
theorem preimage_const_add_Iio : (fun x => a + x) ⁻¹' Iio b = Iio (b - a) :=
ext fun _x => lt_sub_iff_add_lt'.symm
#align set.preimage_const_add_Iio Set.preimage_const_add_Iio
@[simp]
theorem preimage_const_add_Icc : (fun x => a + x) ⁻¹' Icc b c = Icc (b - a) (c - a) := by
simp [← Ici_inter_Iic]
#align set.preimage_const_add_Icc Set.preimage_const_add_Icc
@[simp]
theorem preimage_const_add_Ico : (fun x => a + x) ⁻¹' Ico b c = Ico (b - a) (c - a) := by
simp [← Ici_inter_Iio]
#align set.preimage_const_add_Ico Set.preimage_const_add_Ico
@[simp]
theorem preimage_const_add_Ioc : (fun x => a + x) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by
simp [← Ioi_inter_Iic]
#align set.preimage_const_add_Ioc Set.preimage_const_add_Ioc
@[simp]
theorem preimage_const_add_Ioo : (fun x => a + x) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by
simp [← Ioi_inter_Iio]
#align set.preimage_const_add_Ioo Set.preimage_const_add_Ioo
/-!
### Preimages under `x ↦ x + a`
-/
@[simp]
theorem preimage_add_const_Ici : (fun x => x + a) ⁻¹' Ici b = Ici (b - a) :=
ext fun _x => sub_le_iff_le_add.symm
#align set.preimage_add_const_Ici Set.preimage_add_const_Ici
@[simp]
theorem preimage_add_const_Ioi : (fun x => x + a) ⁻¹' Ioi b = Ioi (b - a) :=
ext fun _x => sub_lt_iff_lt_add.symm
#align set.preimage_add_const_Ioi Set.preimage_add_const_Ioi
@[simp]
theorem preimage_add_const_Iic : (fun x => x + a) ⁻¹' Iic b = Iic (b - a) :=
ext fun _x => le_sub_iff_add_le.symm
#align set.preimage_add_const_Iic Set.preimage_add_const_Iic
@[simp]
theorem preimage_add_const_Iio : (fun x => x + a) ⁻¹' Iio b = Iio (b - a) :=
ext fun _x => lt_sub_iff_add_lt.symm
#align set.preimage_add_const_Iio Set.preimage_add_const_Iio
@[simp]
theorem preimage_add_const_Icc : (fun x => x + a) ⁻¹' Icc b c = Icc (b - a) (c - a) := by
simp [← Ici_inter_Iic]
#align set.preimage_add_const_Icc Set.preimage_add_const_Icc
@[simp]
theorem preimage_add_const_Ico : (fun x => x + a) ⁻¹' Ico b c = Ico (b - a) (c - a) := by
simp [← Ici_inter_Iio]
#align set.preimage_add_const_Ico Set.preimage_add_const_Ico
@[simp]
theorem preimage_add_const_Ioc : (fun x => x + a) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by
simp [← Ioi_inter_Iic]
#align set.preimage_add_const_Ioc Set.preimage_add_const_Ioc
@[simp]
theorem preimage_add_const_Ioo : (fun x => x + a) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by
simp [← Ioi_inter_Iio]
#align set.preimage_add_const_Ioo Set.preimage_add_const_Ioo
/-!
### Preimages under `x ↦ -x`
-/
@[simp]
theorem preimage_neg_Ici : -Ici a = Iic (-a) :=
ext fun _x => le_neg
#align set.preimage_neg_Ici Set.preimage_neg_Ici
@[simp]
theorem preimage_neg_Iic : -Iic a = Ici (-a) :=
ext fun _x => neg_le
#align set.preimage_neg_Iic Set.preimage_neg_Iic
@[simp]
theorem preimage_neg_Ioi : -Ioi a = Iio (-a) :=
ext fun _x => lt_neg
#align set.preimage_neg_Ioi Set.preimage_neg_Ioi
@[simp]
theorem preimage_neg_Iio : -Iio a = Ioi (-a) :=
ext fun _x => neg_lt
#align set.preimage_neg_Iio Set.preimage_neg_Iio
@[simp]
theorem preimage_neg_Icc : -Icc a b = Icc (-b) (-a) := by simp [← Ici_inter_Iic, inter_comm]
#align set.preimage_neg_Icc Set.preimage_neg_Icc
@[simp]
theorem preimage_neg_Ico : -Ico a b = Ioc (-b) (-a) := by
simp [← Ici_inter_Iio, ← Ioi_inter_Iic, inter_comm]
#align set.preimage_neg_Ico Set.preimage_neg_Ico
@[simp]
theorem preimage_neg_Ioc : -Ioc a b = Ico (-b) (-a) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_neg_Ioc Set.preimage_neg_Ioc
@[simp]
theorem preimage_neg_Ioo : -Ioo a b = Ioo (-b) (-a) := by simp [← Ioi_inter_Iio, inter_comm]
#align set.preimage_neg_Ioo Set.preimage_neg_Ioo
/-!
### Preimages under `x ↦ x - a`
-/
@[simp]
theorem preimage_sub_const_Ici : (fun x => x - a) ⁻¹' Ici b = Ici (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ici Set.preimage_sub_const_Ici
@[simp]
theorem preimage_sub_const_Ioi : (fun x => x - a) ⁻¹' Ioi b = Ioi (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioi Set.preimage_sub_const_Ioi
@[simp]
theorem preimage_sub_const_Iic : (fun x => x - a) ⁻¹' Iic b = Iic (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Iic Set.preimage_sub_const_Iic
@[simp]
theorem preimage_sub_const_Iio : (fun x => x - a) ⁻¹' Iio b = Iio (b + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Iio Set.preimage_sub_const_Iio
@[simp]
theorem preimage_sub_const_Icc : (fun x => x - a) ⁻¹' Icc b c = Icc (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Icc Set.preimage_sub_const_Icc
@[simp]
theorem preimage_sub_const_Ico : (fun x => x - a) ⁻¹' Ico b c = Ico (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ico Set.preimage_sub_const_Ico
@[simp]
theorem preimage_sub_const_Ioc : (fun x => x - a) ⁻¹' Ioc b c = Ioc (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioc Set.preimage_sub_const_Ioc
@[simp]
theorem preimage_sub_const_Ioo : (fun x => x - a) ⁻¹' Ioo b c = Ioo (b + a) (c + a) := by
simp [sub_eq_add_neg]
#align set.preimage_sub_const_Ioo Set.preimage_sub_const_Ioo
/-!
### Preimages under `x ↦ a - x`
-/
@[simp]
theorem preimage_const_sub_Ici : (fun x => a - x) ⁻¹' Ici b = Iic (a - b) :=
ext fun _x => le_sub_comm
#align set.preimage_const_sub_Ici Set.preimage_const_sub_Ici
@[simp]
theorem preimage_const_sub_Iic : (fun x => a - x) ⁻¹' Iic b = Ici (a - b) :=
ext fun _x => sub_le_comm
#align set.preimage_const_sub_Iic Set.preimage_const_sub_Iic
@[simp]
theorem preimage_const_sub_Ioi : (fun x => a - x) ⁻¹' Ioi b = Iio (a - b) :=
ext fun _x => lt_sub_comm
#align set.preimage_const_sub_Ioi Set.preimage_const_sub_Ioi
@[simp]
theorem preimage_const_sub_Iio : (fun x => a - x) ⁻¹' Iio b = Ioi (a - b) :=
ext fun _x => sub_lt_comm
#align set.preimage_const_sub_Iio Set.preimage_const_sub_Iio
@[simp]
theorem preimage_const_sub_Icc : (fun x => a - x) ⁻¹' Icc b c = Icc (a - c) (a - b) := by
simp [← Ici_inter_Iic, inter_comm]
#align set.preimage_const_sub_Icc Set.preimage_const_sub_Icc
@[simp]
theorem preimage_const_sub_Ico : (fun x => a - x) ⁻¹' Ico b c = Ioc (a - c) (a - b) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ico Set.preimage_const_sub_Ico
@[simp]
theorem preimage_const_sub_Ioc : (fun x => a - x) ⁻¹' Ioc b c = Ico (a - c) (a - b) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ioc Set.preimage_const_sub_Ioc
@[simp]
theorem preimage_const_sub_Ioo : (fun x => a - x) ⁻¹' Ioo b c = Ioo (a - c) (a - b) := by
simp [← Ioi_inter_Iio, inter_comm]
#align set.preimage_const_sub_Ioo Set.preimage_const_sub_Ioo
/-!
### Images under `x ↦ a + x`
-/
-- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm`
theorem image_const_add_Iic : (fun x => a + x) '' Iic b = Iic (a + b) := by simp [add_comm]
#align set.image_const_add_Iic Set.image_const_add_Iic
-- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm`
theorem image_const_add_Iio : (fun x => a + x) '' Iio b = Iio (a + b) := by simp [add_comm]
#align set.image_const_add_Iio Set.image_const_add_Iio
/-!
### Images under `x ↦ x + a`
-/
-- @[simp] -- Porting note (#10618): simp can prove this
theorem image_add_const_Iic : (fun x => x + a) '' Iic b = Iic (b + a) := by simp
#align set.image_add_const_Iic Set.image_add_const_Iic
-- @[simp] -- Porting note (#10618): simp can prove this
theorem image_add_const_Iio : (fun x => x + a) '' Iio b = Iio (b + a) := by simp
#align set.image_add_const_Iio Set.image_add_const_Iio
/-!
### Images under `x ↦ -x`
-/
theorem image_neg_Ici : Neg.neg '' Ici a = Iic (-a) := by simp
#align set.image_neg_Ici Set.image_neg_Ici
theorem image_neg_Iic : Neg.neg '' Iic a = Ici (-a) := by simp
#align set.image_neg_Iic Set.image_neg_Iic
theorem image_neg_Ioi : Neg.neg '' Ioi a = Iio (-a) := by simp
#align set.image_neg_Ioi Set.image_neg_Ioi
theorem image_neg_Iio : Neg.neg '' Iio a = Ioi (-a) := by simp
#align set.image_neg_Iio Set.image_neg_Iio
| Mathlib/Data/Set/Pointwise/Interval.lean | 387 | 387 | theorem image_neg_Icc : Neg.neg '' Icc a b = Icc (-b) (-a) := by | simp
|
/-
Copyright (c) 2022 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying, Rémy Degenne
-/
import Mathlib.Probability.Process.Stopping
import Mathlib.Tactic.AdaptationNote
#align_import probability.process.hitting_time from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Hitting time
Given a stochastic process, the hitting time provides the first time the process "hits" some
subset of the state space. The hitting time is a stopping time in the case that the time index is
discrete and the process is adapted (this is true in a far more general setting however we have
only proved it for the discrete case so far).
## Main definition
* `MeasureTheory.hitting`: the hitting time of a stochastic process
## Main results
* `MeasureTheory.hitting_isStoppingTime`: a discrete hitting time of an adapted process is a
stopping time
## Implementation notes
In the definition of the hitting time, we bound the hitting time by an upper and lower bound.
This is to ensure that our result is meaningful in the case we are taking the infimum of an
empty set or the infimum of a set which is unbounded from below. With this, we can talk about
hitting times indexed by the natural numbers or the reals. By taking the bounds to be
`⊤` and `⊥`, we obtain the standard definition in the case that the index is `ℕ∞` or `ℝ≥0∞`.
-/
open Filter Order TopologicalSpace
open scoped Classical MeasureTheory NNReal ENNReal Topology
namespace MeasureTheory
variable {Ω β ι : Type*} {m : MeasurableSpace Ω}
/-- Hitting time: given a stochastic process `u` and a set `s`, `hitting u s n m` is the first time
`u` is in `s` after time `n` and before time `m` (if `u` does not hit `s` after time `n` and
before `m` then the hitting time is simply `m`).
The hitting time is a stopping time if the process is adapted and discrete. -/
noncomputable def hitting [Preorder ι] [InfSet ι] (u : ι → Ω → β) (s : Set β) (n m : ι) : Ω → ι :=
fun x => if ∃ j ∈ Set.Icc n m, u j x ∈ s then sInf (Set.Icc n m ∩ {i : ι | u i x ∈ s}) else m
#align measure_theory.hitting MeasureTheory.hitting
#adaptation_note /-- nightly-2024-03-16: added to replace simp [hitting] -/
theorem hitting_def [Preorder ι] [InfSet ι] (u : ι → Ω → β) (s : Set β) (n m : ι) :
hitting u s n m =
fun x => if ∃ j ∈ Set.Icc n m, u j x ∈ s then sInf (Set.Icc n m ∩ {i : ι | u i x ∈ s}) else m :=
rfl
section Inequalities
variable [ConditionallyCompleteLinearOrder ι] {u : ι → Ω → β} {s : Set β} {n i : ι} {ω : Ω}
/-- This lemma is strictly weaker than `hitting_of_le`. -/
theorem hitting_of_lt {m : ι} (h : m < n) : hitting u s n m ω = m := by
simp_rw [hitting]
have h_not : ¬∃ (j : ι) (_ : j ∈ Set.Icc n m), u j ω ∈ s := by
push_neg
intro j
rw [Set.Icc_eq_empty_of_lt h]
simp only [Set.mem_empty_iff_false, IsEmpty.forall_iff]
simp only [exists_prop] at h_not
simp only [h_not, if_false]
#align measure_theory.hitting_of_lt MeasureTheory.hitting_of_lt
theorem hitting_le {m : ι} (ω : Ω) : hitting u s n m ω ≤ m := by
simp only [hitting]
split_ifs with h
· obtain ⟨j, hj₁, hj₂⟩ := h
change j ∈ {i | u i ω ∈ s} at hj₂
exact (csInf_le (BddBelow.inter_of_left bddBelow_Icc) (Set.mem_inter hj₁ hj₂)).trans hj₁.2
· exact le_rfl
#align measure_theory.hitting_le MeasureTheory.hitting_le
theorem not_mem_of_lt_hitting {m k : ι} (hk₁ : k < hitting u s n m ω) (hk₂ : n ≤ k) :
u k ω ∉ s := by
classical
intro h
have hexists : ∃ j ∈ Set.Icc n m, u j ω ∈ s := ⟨k, ⟨hk₂, le_trans hk₁.le <| hitting_le _⟩, h⟩
refine not_le.2 hk₁ ?_
simp_rw [hitting, if_pos hexists]
exact csInf_le bddBelow_Icc.inter_of_left ⟨⟨hk₂, le_trans hk₁.le <| hitting_le _⟩, h⟩
#align measure_theory.not_mem_of_lt_hitting MeasureTheory.not_mem_of_lt_hitting
theorem hitting_eq_end_iff {m : ι} : hitting u s n m ω = m ↔
(∃ j ∈ Set.Icc n m, u j ω ∈ s) → sInf (Set.Icc n m ∩ {i : ι | u i ω ∈ s}) = m := by
rw [hitting, ite_eq_right_iff]
#align measure_theory.hitting_eq_end_iff MeasureTheory.hitting_eq_end_iff
theorem hitting_of_le {m : ι} (hmn : m ≤ n) : hitting u s n m ω = m := by
obtain rfl | h := le_iff_eq_or_lt.1 hmn
· rw [hitting, ite_eq_right_iff, forall_exists_index]
conv => intro; rw [Set.mem_Icc, Set.Icc_self, and_imp, and_imp]
intro i hi₁ hi₂ hi
rw [Set.inter_eq_left.2, csInf_singleton]
exact Set.singleton_subset_iff.2 (le_antisymm hi₂ hi₁ ▸ hi)
· exact hitting_of_lt h
#align measure_theory.hitting_of_le MeasureTheory.hitting_of_le
| Mathlib/Probability/Process/HittingTime.lean | 112 | 120 | theorem le_hitting {m : ι} (hnm : n ≤ m) (ω : Ω) : n ≤ hitting u s n m ω := by |
simp only [hitting]
split_ifs with h
· refine le_csInf ?_ fun b hb => ?_
· obtain ⟨k, hk_Icc, hk_s⟩ := h
exact ⟨k, hk_Icc, hk_s⟩
· rw [Set.mem_inter_iff] at hb
exact hb.1.1
· exact hnm
|
/-
Copyright (c) 2019 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.CharP.ExpChar
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.RingTheory.Polynomial.Content
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import ring_theory.polynomial.basic from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
/-!
# Ring-theoretic supplement of Algebra.Polynomial.
## Main results
* `MvPolynomial.isDomain`:
If a ring is an integral domain, then so is its polynomial ring over finitely many variables.
* `Polynomial.isNoetherianRing`:
Hilbert basis theorem, that if a ring is noetherian then so is its polynomial ring.
* `Polynomial.wfDvdMonoid`:
If an integral domain is a `WFDvdMonoid`, then so is its polynomial ring.
* `Polynomial.uniqueFactorizationMonoid`, `MvPolynomial.uniqueFactorizationMonoid`:
If an integral domain is a `UniqueFactorizationMonoid`, then so is its polynomial ring (of any
number of variables).
-/
noncomputable section
open Polynomial
open Finset
universe u v w
variable {R : Type u} {S : Type*}
namespace Polynomial
section Semiring
variable [Semiring R]
instance instCharP (p : ℕ) [h : CharP R p] : CharP R[X] p :=
let ⟨h⟩ := h
⟨fun n => by rw [← map_natCast C, ← C_0, C_inj, h]⟩
instance instExpChar (p : ℕ) [h : ExpChar R p] : ExpChar R[X] p := by
cases h; exacts [ExpChar.zero, ExpChar.prime ‹_›]
variable (R)
/-- The `R`-submodule of `R[X]` consisting of polynomials of degree ≤ `n`. -/
def degreeLE (n : WithBot ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ _ : ↑k > n, LinearMap.ker (lcoeff R k)
#align polynomial.degree_le Polynomial.degreeLE
/-- The `R`-submodule of `R[X]` consisting of polynomials of degree < `n`. -/
def degreeLT (n : ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ (_ : k ≥ n), LinearMap.ker (lcoeff R k)
#align polynomial.degree_lt Polynomial.degreeLT
variable {R}
theorem mem_degreeLE {n : WithBot ℕ} {f : R[X]} : f ∈ degreeLE R n ↔ degree f ≤ n := by
simp only [degreeLE, Submodule.mem_iInf, degree_le_iff_coeff_zero, LinearMap.mem_ker]; rfl
#align polynomial.mem_degree_le Polynomial.mem_degreeLE
@[mono]
theorem degreeLE_mono {m n : WithBot ℕ} (H : m ≤ n) : degreeLE R m ≤ degreeLE R n := fun _ hf =>
mem_degreeLE.2 (le_trans (mem_degreeLE.1 hf) H)
#align polynomial.degree_le_mono Polynomial.degreeLE_mono
theorem degreeLE_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLE R n = Submodule.span R ↑((Finset.range (n + 1)).image fun n => (X : R[X]) ^ n) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLE.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_le_coe.1 (Finset.sup_le_iff.1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <|
Finset.mem_image.2 ⟨_, Finset.mem_range.2 (Nat.lt_succ_of_le this), rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLE.2
exact
(degree_X_pow_le _).trans (WithBot.coe_le_coe.2 <| Nat.le_of_lt_succ <| Finset.mem_range.1 hk)
set_option linter.uppercaseLean3 false in
#align polynomial.degree_le_eq_span_X_pow Polynomial.degreeLE_eq_span_X_pow
theorem mem_degreeLT {n : ℕ} {f : R[X]} : f ∈ degreeLT R n ↔ degree f < n := by
rw [degreeLT, Submodule.mem_iInf]
conv_lhs => intro i; rw [Submodule.mem_iInf]
rw [degree, Finset.max_eq_sup_coe]
rw [Finset.sup_lt_iff ?_]
rotate_left
· apply WithBot.bot_lt_coe
conv_rhs =>
simp only [mem_support_iff]
intro b
rw [Nat.cast_withBot, WithBot.coe_lt_coe, lt_iff_not_le, Ne, not_imp_not]
rfl
#align polynomial.mem_degree_lt Polynomial.mem_degreeLT
@[mono]
theorem degreeLT_mono {m n : ℕ} (H : m ≤ n) : degreeLT R m ≤ degreeLT R n := fun _ hf =>
mem_degreeLT.2 (lt_of_lt_of_le (mem_degreeLT.1 hf) <| WithBot.coe_le_coe.2 H)
#align polynomial.degree_lt_mono Polynomial.degreeLT_mono
theorem degreeLT_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLT R n = Submodule.span R ↑((Finset.range n).image fun n => X ^ n : Finset R[X]) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLT.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_lt_coe.1 ((Finset.sup_lt_iff <| WithBot.bot_lt_coe n).1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <| Finset.mem_image.2 ⟨_, Finset.mem_range.2 this, rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLT.2
exact lt_of_le_of_lt (degree_X_pow_le _) (WithBot.coe_lt_coe.2 <| Finset.mem_range.1 hk)
set_option linter.uppercaseLean3 false in
#align polynomial.degree_lt_eq_span_X_pow Polynomial.degreeLT_eq_span_X_pow
/-- The first `n` coefficients on `degreeLT n` form a linear equivalence with `Fin n → R`. -/
def degreeLTEquiv (R) [Semiring R] (n : ℕ) : degreeLT R n ≃ₗ[R] Fin n → R where
toFun p n := (↑p : R[X]).coeff n
invFun f :=
⟨∑ i : Fin n, monomial i (f i),
(degreeLT R n).sum_mem fun i _ =>
mem_degreeLT.mpr
(lt_of_le_of_lt (degree_monomial_le i (f i)) (WithBot.coe_lt_coe.mpr i.is_lt))⟩
map_add' p q := by
ext
dsimp
rw [coeff_add]
map_smul' x p := by
ext
dsimp
rw [coeff_smul]
rfl
left_inv := by
rintro ⟨p, hp⟩
ext1
simp only [Submodule.coe_mk]
by_cases hp0 : p = 0
· subst hp0
simp only [coeff_zero, LinearMap.map_zero, Finset.sum_const_zero]
rw [mem_degreeLT, degree_eq_natDegree hp0, Nat.cast_lt] at hp
conv_rhs => rw [p.as_sum_range' n hp, ← Fin.sum_univ_eq_sum_range]
right_inv f := by
ext i
simp only [finset_sum_coeff, Submodule.coe_mk]
rw [Finset.sum_eq_single i, coeff_monomial, if_pos rfl]
· rintro j - hji
rw [coeff_monomial, if_neg]
rwa [← Fin.ext_iff]
· intro h
exact (h (Finset.mem_univ _)).elim
#align polynomial.degree_lt_equiv Polynomial.degreeLTEquiv
-- Porting note: removed @[simp] as simp can prove this
theorem degreeLTEquiv_eq_zero_iff_eq_zero {n : ℕ} {p : R[X]} (hp : p ∈ degreeLT R n) :
degreeLTEquiv _ _ ⟨p, hp⟩ = 0 ↔ p = 0 := by
rw [LinearEquiv.map_eq_zero_iff, Submodule.mk_eq_zero]
#align polynomial.degree_lt_equiv_eq_zero_iff_eq_zero Polynomial.degreeLTEquiv_eq_zero_iff_eq_zero
theorem eval_eq_sum_degreeLTEquiv {n : ℕ} {p : R[X]} (hp : p ∈ degreeLT R n) (x : R) :
p.eval x = ∑ i, degreeLTEquiv _ _ ⟨p, hp⟩ i * x ^ (i : ℕ) := by
simp_rw [eval_eq_sum]
exact (sum_fin _ (by simp_rw [zero_mul, forall_const]) (mem_degreeLT.mp hp)).symm
#align polynomial.eval_eq_sum_degree_lt_equiv Polynomial.eval_eq_sum_degreeLTEquiv
theorem degreeLT_succ_eq_degreeLE {n : ℕ} : degreeLT R (n + 1) = degreeLE R n := by
ext x
by_cases x_zero : x = 0
· simp_rw [x_zero, Submodule.zero_mem]
· rw [mem_degreeLT, mem_degreeLE, ← natDegree_lt_iff_degree_lt (by rwa [ne_eq]),
← natDegree_le_iff_degree_le, Nat.lt_succ]
/-- For every polynomial `p` in the span of a set `s : Set R[X]`, there exists a polynomial of
`p' ∈ s` with higher degree. See also `Polynomial.exists_degree_le_of_mem_span_of_finite`. -/
theorem exists_degree_le_of_mem_span {s : Set R[X]} {p : R[X]}
(hs : s.Nonempty) (hp : p ∈ Submodule.span R s) :
∃ p' ∈ s, degree p ≤ degree p' := by
by_contra! h
by_cases hp_zero : p = 0
· rw [hp_zero, degree_zero] at h
rcases hs with ⟨x, hx⟩
exact not_lt_bot (h x hx)
· have : p ∈ degreeLT R (natDegree p) := by
refine (Submodule.span_le.mpr fun p' p'_mem => ?_) hp
rw [SetLike.mem_coe, mem_degreeLT, Nat.cast_withBot]
exact lt_of_lt_of_le (h p' p'_mem) degree_le_natDegree
rwa [mem_degreeLT, Nat.cast_withBot, degree_eq_natDegree hp_zero,
Nat.cast_withBot, lt_self_iff_false] at this
/-- A stronger version of `Polynomial.exists_degree_le_of_mem_span` under the assumption that the
set `s : R[X]` is finite. There exists a polynomial `p' ∈ s` whose degree dominates the degree of
every element of `p ∈ span R s`-/
theorem exists_degree_le_of_mem_span_of_finite {s : Set R[X]} (s_fin : s.Finite) (hs : s.Nonempty) :
∃ p' ∈ s, ∀ (p : R[X]), p ∈ Submodule.span R s → degree p ≤ degree p' := by
rcases Set.Finite.exists_maximal_wrt degree s s_fin hs with ⟨a, has, hmax⟩
refine ⟨a, has, fun p hp => ?_⟩
rcases exists_degree_le_of_mem_span hs hp with ⟨p', hp'⟩
by_cases h : degree a ≤ degree p'
· rw [← hmax p' hp'.left h] at hp'; exact hp'.right
· exact le_trans hp'.right (not_le.mp h).le
/-- The span of every finite set of polynomials is contained in a `degreeLE n` for some `n`. -/
theorem span_le_degreeLE_of_finite {s : Set R[X]} (s_fin : s.Finite) :
∃ n : ℕ, Submodule.span R s ≤ degreeLE R n := by
by_cases s_emp : s.Nonempty
· rcases exists_degree_le_of_mem_span_of_finite s_fin s_emp with ⟨p', _, hp'max⟩
exact ⟨natDegree p', fun p hp => mem_degreeLE.mpr ((hp'max _ hp).trans degree_le_natDegree)⟩
· rw [Set.not_nonempty_iff_eq_empty] at s_emp
rw [s_emp, Submodule.span_empty]
exact ⟨0, bot_le⟩
/-- The span of every finite set of polynomials is contained in a `degreeLT n` for some `n`. -/
theorem span_of_finite_le_degreeLT {s : Set R[X]} (s_fin : s.Finite) :
∃ n : ℕ, Submodule.span R s ≤ degreeLT R n := by
rcases span_le_degreeLE_of_finite s_fin with ⟨n, _⟩
exact ⟨n + 1, by rwa [degreeLT_succ_eq_degreeLE]⟩
/-- If `R` is a nontrivial ring, the polynomials `R[X]` are not finite as an `R`-module. When `R` is
a field, this is equivalent to `R[X]` being an infinite-dimensional vector space over `R`. -/
theorem not_finite [Nontrivial R] : ¬ Module.Finite R R[X] := by
rw [Module.finite_def, Submodule.fg_def]
push_neg
intro s hs contra
rcases span_le_degreeLE_of_finite hs with ⟨n,hn⟩
have : ((X : R[X]) ^ (n + 1)) ∈ Polynomial.degreeLE R ↑n := by
rw [contra] at hn
exact hn Submodule.mem_top
rw [mem_degreeLE, degree_X_pow, Nat.cast_le, add_le_iff_nonpos_right, nonpos_iff_eq_zero] at this
exact one_ne_zero this
/-- The finset of nonzero coefficients of a polynomial. -/
def coeffs (p : R[X]) : Finset R :=
letI := Classical.decEq R
Finset.image (fun n => p.coeff n) p.support
#align polynomial.frange Polynomial.coeffs
@[deprecated (since := "2024-05-17")] noncomputable alias frange := coeffs
theorem coeffs_zero : coeffs (0 : R[X]) = ∅ :=
rfl
#align polynomial.frange_zero Polynomial.coeffs_zero
@[deprecated (since := "2024-05-17")] alias frange_zero := coeffs_zero
theorem mem_coeffs_iff {p : R[X]} {c : R} : c ∈ p.coeffs ↔ ∃ n ∈ p.support, c = p.coeff n := by
simp [coeffs, eq_comm, (Finset.mem_image)]
#align polynomial.mem_frange_iff Polynomial.mem_coeffs_iff
@[deprecated (since := "2024-05-17")] alias mem_frange_iff := mem_coeffs_iff
theorem coeffs_one : coeffs (1 : R[X]) ⊆ {1} := by
classical
simp_rw [coeffs, Finset.image_subset_iff]
simp_all [coeff_one]
#align polynomial.frange_one Polynomial.coeffs_one
@[deprecated (since := "2024-05-17")] alias frange_one := coeffs_one
theorem coeff_mem_coeffs (p : R[X]) (n : ℕ) (h : p.coeff n ≠ 0) : p.coeff n ∈ p.coeffs := by
classical
simp only [coeffs, exists_prop, mem_support_iff, Finset.mem_image, Ne]
exact ⟨n, h, rfl⟩
#align polynomial.coeff_mem_frange Polynomial.coeff_mem_coeffs
@[deprecated (since := "2024-05-17")] alias coeff_mem_frange := coeff_mem_coeffs
theorem geom_sum_X_comp_X_add_one_eq_sum (n : ℕ) :
(∑ i ∈ range n, (X : R[X]) ^ i).comp (X + 1) =
(Finset.range n).sum fun i : ℕ => (n.choose (i + 1) : R[X]) * X ^ i := by
ext i
trans (n.choose (i + 1) : R); swap
· simp only [finset_sum_coeff, ← C_eq_natCast, coeff_C_mul_X_pow]
rw [Finset.sum_eq_single i, if_pos rfl]
· simp (config := { contextual := true }) only [@eq_comm _ i, if_false, eq_self_iff_true,
imp_true_iff]
· simp (config := { contextual := true }) only [Nat.lt_add_one_iff, Nat.choose_eq_zero_of_lt,
Nat.cast_zero, Finset.mem_range, not_lt, eq_self_iff_true, if_true, imp_true_iff]
induction' n with n ih generalizing i
· dsimp; simp only [zero_comp, coeff_zero, Nat.cast_zero]
· simp only [geom_sum_succ', ih, add_comp, X_pow_comp, coeff_add, Nat.choose_succ_succ,
Nat.cast_add, coeff_X_add_one_pow]
set_option linter.uppercaseLean3 false in
#align polynomial.geom_sum_X_comp_X_add_one_eq_sum Polynomial.geom_sum_X_comp_X_add_one_eq_sum
theorem Monic.geom_sum {P : R[X]} (hP : P.Monic) (hdeg : 0 < P.natDegree) {n : ℕ} (hn : n ≠ 0) :
(∑ i ∈ range n, P ^ i).Monic := by
nontriviality R
obtain ⟨n, rfl⟩ := Nat.exists_eq_succ_of_ne_zero hn
rw [geom_sum_succ']
refine (hP.pow _).add_of_left ?_
refine lt_of_le_of_lt (degree_sum_le _ _) ?_
rw [Finset.sup_lt_iff]
· simp only [Finset.mem_range, degree_eq_natDegree (hP.pow _).ne_zero]
simp only [Nat.cast_lt, hP.natDegree_pow]
intro k
exact nsmul_lt_nsmul_left hdeg
· rw [bot_lt_iff_ne_bot, Ne, degree_eq_bot]
exact (hP.pow _).ne_zero
#align polynomial.monic.geom_sum Polynomial.Monic.geom_sum
theorem Monic.geom_sum' {P : R[X]} (hP : P.Monic) (hdeg : 0 < P.degree) {n : ℕ} (hn : n ≠ 0) :
(∑ i ∈ range n, P ^ i).Monic :=
hP.geom_sum (natDegree_pos_iff_degree_pos.2 hdeg) hn
#align polynomial.monic.geom_sum' Polynomial.Monic.geom_sum'
theorem monic_geom_sum_X {n : ℕ} (hn : n ≠ 0) : (∑ i ∈ range n, (X : R[X]) ^ i).Monic := by
nontriviality R
apply monic_X.geom_sum _ hn
simp only [natDegree_X, zero_lt_one]
set_option linter.uppercaseLean3 false in
#align polynomial.monic_geom_sum_X Polynomial.monic_geom_sum_X
end Semiring
section Ring
variable [Ring R]
/-- Given a polynomial, return the polynomial whose coefficients are in
the ring closure of the original coefficients. -/
def restriction (p : R[X]) : Polynomial (Subring.closure (↑p.coeffs : Set R)) :=
∑ i ∈ p.support,
monomial i
(⟨p.coeff i,
letI := Classical.decEq R
if H : p.coeff i = 0 then H.symm ▸ (Subring.closure _).zero_mem
else Subring.subset_closure (p.coeff_mem_coeffs _ H)⟩ :
Subring.closure (↑p.coeffs : Set R))
#align polynomial.restriction Polynomial.restriction
@[simp]
theorem coeff_restriction {p : R[X]} {n : ℕ} : ↑(coeff (restriction p) n) = coeff p n := by
classical
simp only [restriction, coeff_monomial, finset_sum_coeff, mem_support_iff, Finset.sum_ite_eq',
Ne, ite_not]
split_ifs with h
· rw [h]
rfl
· rfl
#align polynomial.coeff_restriction Polynomial.coeff_restriction
-- Porting note: removed @[simp] as simp can prove this
theorem coeff_restriction' {p : R[X]} {n : ℕ} : (coeff (restriction p) n).1 = coeff p n :=
coeff_restriction
#align polynomial.coeff_restriction' Polynomial.coeff_restriction'
@[simp]
theorem support_restriction (p : R[X]) : support (restriction p) = support p := by
ext i
simp only [mem_support_iff, not_iff_not, Ne]
conv_rhs => rw [← coeff_restriction]
exact ⟨fun H => by rw [H, ZeroMemClass.coe_zero], fun H => Subtype.coe_injective H⟩
#align polynomial.support_restriction Polynomial.support_restriction
@[simp]
theorem map_restriction {R : Type u} [CommRing R] (p : R[X]) :
p.restriction.map (algebraMap _ _) = p :=
ext fun n => by rw [coeff_map, Algebra.algebraMap_ofSubring_apply, coeff_restriction]
#align polynomial.map_restriction Polynomial.map_restriction
@[simp]
theorem degree_restriction {p : R[X]} : (restriction p).degree = p.degree := by simp [degree]
#align polynomial.degree_restriction Polynomial.degree_restriction
@[simp]
theorem natDegree_restriction {p : R[X]} : (restriction p).natDegree = p.natDegree := by
simp [natDegree]
#align polynomial.nat_degree_restriction Polynomial.natDegree_restriction
@[simp]
| Mathlib/RingTheory/Polynomial/Basic.lean | 391 | 394 | theorem monic_restriction {p : R[X]} : Monic (restriction p) ↔ Monic p := by |
simp only [Monic, leadingCoeff, natDegree_restriction]
rw [← @coeff_restriction _ _ p]
exact ⟨fun H => by rw [H, OneMemClass.coe_one], fun H => Subtype.coe_injective H⟩
|
/-
Copyright (c) 2020 Kenji Nakagawa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenji Nakagawa, Anne Baanen, Filippo A. E. Nuccio
-/
import Mathlib.Algebra.Algebra.Subalgebra.Pointwise
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Maximal
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Noetherian
import Mathlib.RingTheory.ChainOfDivisors
import Mathlib.RingTheory.DedekindDomain.Basic
import Mathlib.RingTheory.FractionalIdeal.Operations
#align_import ring_theory.dedekind_domain.ideal from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e"
/-!
# Dedekind domains and ideals
In this file, we show a ring is a Dedekind domain iff all fractional ideals are invertible.
Then we prove some results on the unique factorization monoid structure of the ideals.
## Main definitions
- `IsDedekindDomainInv` alternatively defines a Dedekind domain as an integral domain where
every nonzero fractional ideal is invertible.
- `isDedekindDomainInv_iff` shows that this does note depend on the choice of field of
fractions.
- `IsDedekindDomain.HeightOneSpectrum` defines the type of nonzero prime ideals of `R`.
## Main results:
- `isDedekindDomain_iff_isDedekindDomainInv`
- `Ideal.uniqueFactorizationMonoid`
## Implementation notes
The definitions that involve a field of fractions choose a canonical field of fractions,
but are independent of that choice. The `..._iff` lemmas express this independence.
Often, definitions assume that Dedekind domains are not fields. We found it more practical
to add a `(h : ¬ IsField A)` assumption whenever this is explicitly needed.
## References
* [D. Marcus, *Number Fields*][marcus1977number]
* [J.W.S. Cassels, A. Frölich, *Algebraic Number Theory*][cassels1967algebraic]
* [J. Neukirch, *Algebraic Number Theory*][Neukirch1992]
## Tags
dedekind domain, dedekind ring
-/
variable (R A K : Type*) [CommRing R] [CommRing A] [Field K]
open scoped nonZeroDivisors Polynomial
section Inverse
namespace FractionalIdeal
variable {R₁ : Type*} [CommRing R₁] [IsDomain R₁] [Algebra R₁ K] [IsFractionRing R₁ K]
variable {I J : FractionalIdeal R₁⁰ K}
noncomputable instance : Inv (FractionalIdeal R₁⁰ K) := ⟨fun I => 1 / I⟩
theorem inv_eq : I⁻¹ = 1 / I := rfl
#align fractional_ideal.inv_eq FractionalIdeal.inv_eq
theorem inv_zero' : (0 : FractionalIdeal R₁⁰ K)⁻¹ = 0 := div_zero
#align fractional_ideal.inv_zero' FractionalIdeal.inv_zero'
theorem inv_nonzero {J : FractionalIdeal R₁⁰ K} (h : J ≠ 0) :
J⁻¹ = ⟨(1 : FractionalIdeal R₁⁰ K) / J, fractional_div_of_nonzero h⟩ := div_nonzero h
#align fractional_ideal.inv_nonzero FractionalIdeal.inv_nonzero
theorem coe_inv_of_nonzero {J : FractionalIdeal R₁⁰ K} (h : J ≠ 0) :
(↑J⁻¹ : Submodule R₁ K) = IsLocalization.coeSubmodule K ⊤ / (J : Submodule R₁ K) := by
simp_rw [inv_nonzero _ h, coe_one, coe_mk, IsLocalization.coeSubmodule_top]
#align fractional_ideal.coe_inv_of_nonzero FractionalIdeal.coe_inv_of_nonzero
variable {K}
theorem mem_inv_iff (hI : I ≠ 0) {x : K} : x ∈ I⁻¹ ↔ ∀ y ∈ I, x * y ∈ (1 : FractionalIdeal R₁⁰ K) :=
mem_div_iff_of_nonzero hI
#align fractional_ideal.mem_inv_iff FractionalIdeal.mem_inv_iff
theorem inv_anti_mono (hI : I ≠ 0) (hJ : J ≠ 0) (hIJ : I ≤ J) : J⁻¹ ≤ I⁻¹ := by
-- Porting note: in Lean3, introducing `x` would just give `x ∈ J⁻¹ → x ∈ I⁻¹`, but
-- in Lean4, it goes all the way down to the subtypes
intro x
simp only [val_eq_coe, mem_coe, mem_inv_iff hJ, mem_inv_iff hI]
exact fun h y hy => h y (hIJ hy)
#align fractional_ideal.inv_anti_mono FractionalIdeal.inv_anti_mono
theorem le_self_mul_inv {I : FractionalIdeal R₁⁰ K} (hI : I ≤ (1 : FractionalIdeal R₁⁰ K)) :
I ≤ I * I⁻¹ :=
le_self_mul_one_div hI
#align fractional_ideal.le_self_mul_inv FractionalIdeal.le_self_mul_inv
variable (K)
theorem coe_ideal_le_self_mul_inv (I : Ideal R₁) :
(I : FractionalIdeal R₁⁰ K) ≤ I * (I : FractionalIdeal R₁⁰ K)⁻¹ :=
le_self_mul_inv coeIdeal_le_one
#align fractional_ideal.coe_ideal_le_self_mul_inv FractionalIdeal.coe_ideal_le_self_mul_inv
/-- `I⁻¹` is the inverse of `I` if `I` has an inverse. -/
theorem right_inverse_eq (I J : FractionalIdeal R₁⁰ K) (h : I * J = 1) : J = I⁻¹ := by
have hI : I ≠ 0 := ne_zero_of_mul_eq_one I J h
suffices h' : I * (1 / I) = 1 from
congr_arg Units.inv <| @Units.ext _ _ (Units.mkOfMulEqOne _ _ h) (Units.mkOfMulEqOne _ _ h') rfl
apply le_antisymm
· apply mul_le.mpr _
intro x hx y hy
rw [mul_comm]
exact (mem_div_iff_of_nonzero hI).mp hy x hx
rw [← h]
apply mul_left_mono I
apply (le_div_iff_of_nonzero hI).mpr _
intro y hy x hx
rw [mul_comm]
exact mul_mem_mul hx hy
#align fractional_ideal.right_inverse_eq FractionalIdeal.right_inverse_eq
theorem mul_inv_cancel_iff {I : FractionalIdeal R₁⁰ K} : I * I⁻¹ = 1 ↔ ∃ J, I * J = 1 :=
⟨fun h => ⟨I⁻¹, h⟩, fun ⟨J, hJ⟩ => by rwa [← right_inverse_eq K I J hJ]⟩
#align fractional_ideal.mul_inv_cancel_iff FractionalIdeal.mul_inv_cancel_iff
theorem mul_inv_cancel_iff_isUnit {I : FractionalIdeal R₁⁰ K} : I * I⁻¹ = 1 ↔ IsUnit I :=
(mul_inv_cancel_iff K).trans isUnit_iff_exists_inv.symm
#align fractional_ideal.mul_inv_cancel_iff_is_unit FractionalIdeal.mul_inv_cancel_iff_isUnit
variable {K' : Type*} [Field K'] [Algebra R₁ K'] [IsFractionRing R₁ K']
@[simp]
theorem map_inv (I : FractionalIdeal R₁⁰ K) (h : K ≃ₐ[R₁] K') :
I⁻¹.map (h : K →ₐ[R₁] K') = (I.map h)⁻¹ := by rw [inv_eq, map_div, map_one, inv_eq]
#align fractional_ideal.map_inv FractionalIdeal.map_inv
open Submodule Submodule.IsPrincipal
@[simp]
theorem spanSingleton_inv (x : K) : (spanSingleton R₁⁰ x)⁻¹ = spanSingleton _ x⁻¹ :=
one_div_spanSingleton x
#align fractional_ideal.span_singleton_inv FractionalIdeal.spanSingleton_inv
-- @[simp] -- Porting note: not in simpNF form
theorem spanSingleton_div_spanSingleton (x y : K) :
spanSingleton R₁⁰ x / spanSingleton R₁⁰ y = spanSingleton R₁⁰ (x / y) := by
rw [div_spanSingleton, mul_comm, spanSingleton_mul_spanSingleton, div_eq_mul_inv]
#align fractional_ideal.span_singleton_div_span_singleton FractionalIdeal.spanSingleton_div_spanSingleton
theorem spanSingleton_div_self {x : K} (hx : x ≠ 0) :
spanSingleton R₁⁰ x / spanSingleton R₁⁰ x = 1 := by
rw [spanSingleton_div_spanSingleton, div_self hx, spanSingleton_one]
#align fractional_ideal.span_singleton_div_self FractionalIdeal.spanSingleton_div_self
theorem coe_ideal_span_singleton_div_self {x : R₁} (hx : x ≠ 0) :
(Ideal.span ({x} : Set R₁) : FractionalIdeal R₁⁰ K) / Ideal.span ({x} : Set R₁) = 1 := by
rw [coeIdeal_span_singleton,
spanSingleton_div_self K <|
(map_ne_zero_iff _ <| NoZeroSMulDivisors.algebraMap_injective R₁ K).mpr hx]
#align fractional_ideal.coe_ideal_span_singleton_div_self FractionalIdeal.coe_ideal_span_singleton_div_self
theorem spanSingleton_mul_inv {x : K} (hx : x ≠ 0) :
spanSingleton R₁⁰ x * (spanSingleton R₁⁰ x)⁻¹ = 1 := by
rw [spanSingleton_inv, spanSingleton_mul_spanSingleton, mul_inv_cancel hx, spanSingleton_one]
#align fractional_ideal.span_singleton_mul_inv FractionalIdeal.spanSingleton_mul_inv
theorem coe_ideal_span_singleton_mul_inv {x : R₁} (hx : x ≠ 0) :
(Ideal.span ({x} : Set R₁) : FractionalIdeal R₁⁰ K) *
(Ideal.span ({x} : Set R₁) : FractionalIdeal R₁⁰ K)⁻¹ = 1 := by
rw [coeIdeal_span_singleton,
spanSingleton_mul_inv K <|
(map_ne_zero_iff _ <| NoZeroSMulDivisors.algebraMap_injective R₁ K).mpr hx]
#align fractional_ideal.coe_ideal_span_singleton_mul_inv FractionalIdeal.coe_ideal_span_singleton_mul_inv
theorem spanSingleton_inv_mul {x : K} (hx : x ≠ 0) :
(spanSingleton R₁⁰ x)⁻¹ * spanSingleton R₁⁰ x = 1 := by
rw [mul_comm, spanSingleton_mul_inv K hx]
#align fractional_ideal.span_singleton_inv_mul FractionalIdeal.spanSingleton_inv_mul
theorem coe_ideal_span_singleton_inv_mul {x : R₁} (hx : x ≠ 0) :
(Ideal.span ({x} : Set R₁) : FractionalIdeal R₁⁰ K)⁻¹ * Ideal.span ({x} : Set R₁) = 1 := by
rw [mul_comm, coe_ideal_span_singleton_mul_inv K hx]
#align fractional_ideal.coe_ideal_span_singleton_inv_mul FractionalIdeal.coe_ideal_span_singleton_inv_mul
theorem mul_generator_self_inv {R₁ : Type*} [CommRing R₁] [Algebra R₁ K] [IsLocalization R₁⁰ K]
(I : FractionalIdeal R₁⁰ K) [Submodule.IsPrincipal (I : Submodule R₁ K)] (h : I ≠ 0) :
I * spanSingleton _ (generator (I : Submodule R₁ K))⁻¹ = 1 := by
-- Rewrite only the `I` that appears alone.
conv_lhs => congr; rw [eq_spanSingleton_of_principal I]
rw [spanSingleton_mul_spanSingleton, mul_inv_cancel, spanSingleton_one]
intro generator_I_eq_zero
apply h
rw [eq_spanSingleton_of_principal I, generator_I_eq_zero, spanSingleton_zero]
#align fractional_ideal.mul_generator_self_inv FractionalIdeal.mul_generator_self_inv
theorem invertible_of_principal (I : FractionalIdeal R₁⁰ K)
[Submodule.IsPrincipal (I : Submodule R₁ K)] (h : I ≠ 0) : I * I⁻¹ = 1 :=
mul_div_self_cancel_iff.mpr
⟨spanSingleton _ (generator (I : Submodule R₁ K))⁻¹, mul_generator_self_inv _ I h⟩
#align fractional_ideal.invertible_of_principal FractionalIdeal.invertible_of_principal
theorem invertible_iff_generator_nonzero (I : FractionalIdeal R₁⁰ K)
[Submodule.IsPrincipal (I : Submodule R₁ K)] :
I * I⁻¹ = 1 ↔ generator (I : Submodule R₁ K) ≠ 0 := by
constructor
· intro hI hg
apply ne_zero_of_mul_eq_one _ _ hI
rw [eq_spanSingleton_of_principal I, hg, spanSingleton_zero]
· intro hg
apply invertible_of_principal
rw [eq_spanSingleton_of_principal I]
intro hI
have := mem_spanSingleton_self R₁⁰ (generator (I : Submodule R₁ K))
rw [hI, mem_zero_iff] at this
contradiction
#align fractional_ideal.invertible_iff_generator_nonzero FractionalIdeal.invertible_iff_generator_nonzero
theorem isPrincipal_inv (I : FractionalIdeal R₁⁰ K) [Submodule.IsPrincipal (I : Submodule R₁ K)]
(h : I ≠ 0) : Submodule.IsPrincipal I⁻¹.1 := by
rw [val_eq_coe, isPrincipal_iff]
use (generator (I : Submodule R₁ K))⁻¹
have hI : I * spanSingleton _ (generator (I : Submodule R₁ K))⁻¹ = 1 :=
mul_generator_self_inv _ I h
exact (right_inverse_eq _ I (spanSingleton _ (generator (I : Submodule R₁ K))⁻¹) hI).symm
#align fractional_ideal.is_principal_inv FractionalIdeal.isPrincipal_inv
noncomputable instance : InvOneClass (FractionalIdeal R₁⁰ K) := { inv_one := div_one }
end FractionalIdeal
section IsDedekindDomainInv
variable [IsDomain A]
/-- A Dedekind domain is an integral domain such that every fractional ideal has an inverse.
This is equivalent to `IsDedekindDomain`.
In particular we provide a `fractional_ideal.comm_group_with_zero` instance,
assuming `IsDedekindDomain A`, which implies `IsDedekindDomainInv`. For **integral** ideals,
`IsDedekindDomain`(`_inv`) implies only `Ideal.cancelCommMonoidWithZero`.
-/
def IsDedekindDomainInv : Prop :=
∀ I ≠ (⊥ : FractionalIdeal A⁰ (FractionRing A)), I * I⁻¹ = 1
#align is_dedekind_domain_inv IsDedekindDomainInv
open FractionalIdeal
variable {R A K}
theorem isDedekindDomainInv_iff [Algebra A K] [IsFractionRing A K] :
IsDedekindDomainInv A ↔ ∀ I ≠ (⊥ : FractionalIdeal A⁰ K), I * I⁻¹ = 1 := by
let h : FractionalIdeal A⁰ (FractionRing A) ≃+* FractionalIdeal A⁰ K :=
FractionalIdeal.mapEquiv (FractionRing.algEquiv A K)
refine h.toEquiv.forall_congr (fun {x} => ?_)
rw [← h.toEquiv.apply_eq_iff_eq]
simp [h, IsDedekindDomainInv]
#align is_dedekind_domain_inv_iff isDedekindDomainInv_iff
theorem FractionalIdeal.adjoinIntegral_eq_one_of_isUnit [Algebra A K] [IsFractionRing A K] (x : K)
(hx : IsIntegral A x) (hI : IsUnit (adjoinIntegral A⁰ x hx)) : adjoinIntegral A⁰ x hx = 1 := by
set I := adjoinIntegral A⁰ x hx
have mul_self : I * I = I := by apply coeToSubmodule_injective; simp [I]
convert congr_arg (· * I⁻¹) mul_self <;>
simp only [(mul_inv_cancel_iff_isUnit K).mpr hI, mul_assoc, mul_one]
#align fractional_ideal.adjoin_integral_eq_one_of_is_unit FractionalIdeal.adjoinIntegral_eq_one_of_isUnit
namespace IsDedekindDomainInv
variable [Algebra A K] [IsFractionRing A K] (h : IsDedekindDomainInv A)
theorem mul_inv_eq_one {I : FractionalIdeal A⁰ K} (hI : I ≠ 0) : I * I⁻¹ = 1 :=
isDedekindDomainInv_iff.mp h I hI
#align is_dedekind_domain_inv.mul_inv_eq_one IsDedekindDomainInv.mul_inv_eq_one
theorem inv_mul_eq_one {I : FractionalIdeal A⁰ K} (hI : I ≠ 0) : I⁻¹ * I = 1 :=
(mul_comm _ _).trans (h.mul_inv_eq_one hI)
#align is_dedekind_domain_inv.inv_mul_eq_one IsDedekindDomainInv.inv_mul_eq_one
protected theorem isUnit {I : FractionalIdeal A⁰ K} (hI : I ≠ 0) : IsUnit I :=
isUnit_of_mul_eq_one _ _ (h.mul_inv_eq_one hI)
#align is_dedekind_domain_inv.is_unit IsDedekindDomainInv.isUnit
theorem isNoetherianRing : IsNoetherianRing A := by
refine isNoetherianRing_iff.mpr ⟨fun I : Ideal A => ?_⟩
by_cases hI : I = ⊥
· rw [hI]; apply Submodule.fg_bot
have hI : (I : FractionalIdeal A⁰ (FractionRing A)) ≠ 0 := coeIdeal_ne_zero.mpr hI
exact I.fg_of_isUnit (IsFractionRing.injective A (FractionRing A)) (h.isUnit hI)
#align is_dedekind_domain_inv.is_noetherian_ring IsDedekindDomainInv.isNoetherianRing
theorem integrallyClosed : IsIntegrallyClosed A := by
-- It suffices to show that for integral `x`,
-- `A[x]` (which is a fractional ideal) is in fact equal to `A`.
refine (isIntegrallyClosed_iff (FractionRing A)).mpr (fun {x hx} => ?_)
rw [← Set.mem_range, ← Algebra.mem_bot, ← Subalgebra.mem_toSubmodule, Algebra.toSubmodule_bot,
Submodule.one_eq_span, ← coe_spanSingleton A⁰ (1 : FractionRing A), spanSingleton_one, ←
FractionalIdeal.adjoinIntegral_eq_one_of_isUnit x hx (h.isUnit _)]
· exact mem_adjoinIntegral_self A⁰ x hx
· exact fun h => one_ne_zero (eq_zero_iff.mp h 1 (Algebra.adjoin A {x}).one_mem)
#align is_dedekind_domain_inv.integrally_closed IsDedekindDomainInv.integrallyClosed
open Ring
theorem dimensionLEOne : DimensionLEOne A := ⟨by
-- We're going to show that `P` is maximal because any (maximal) ideal `M`
-- that is strictly larger would be `⊤`.
rintro P P_ne hP
refine Ideal.isMaximal_def.mpr ⟨hP.ne_top, fun M hM => ?_⟩
-- We may assume `P` and `M` (as fractional ideals) are nonzero.
have P'_ne : (P : FractionalIdeal A⁰ (FractionRing A)) ≠ 0 := coeIdeal_ne_zero.mpr P_ne
have M'_ne : (M : FractionalIdeal A⁰ (FractionRing A)) ≠ 0 := coeIdeal_ne_zero.mpr hM.ne_bot
-- In particular, we'll show `M⁻¹ * P ≤ P`
suffices (M⁻¹ : FractionalIdeal A⁰ (FractionRing A)) * P ≤ P by
rw [eq_top_iff, ← coeIdeal_le_coeIdeal (FractionRing A), coeIdeal_top]
calc
(1 : FractionalIdeal A⁰ (FractionRing A)) = _ * _ * _ := ?_
_ ≤ _ * _ := mul_right_mono
((P : FractionalIdeal A⁰ (FractionRing A))⁻¹ * M : FractionalIdeal A⁰ (FractionRing A)) this
_ = M := ?_
· rw [mul_assoc, ← mul_assoc (P : FractionalIdeal A⁰ (FractionRing A)), h.mul_inv_eq_one P'_ne,
one_mul, h.inv_mul_eq_one M'_ne]
· rw [← mul_assoc (P : FractionalIdeal A⁰ (FractionRing A)), h.mul_inv_eq_one P'_ne, one_mul]
-- Suppose we have `x ∈ M⁻¹ * P`, then in fact `x = algebraMap _ _ y` for some `y`.
intro x hx
have le_one : (M⁻¹ : FractionalIdeal A⁰ (FractionRing A)) * P ≤ 1 := by
rw [← h.inv_mul_eq_one M'_ne]
exact mul_left_mono _ ((coeIdeal_le_coeIdeal (FractionRing A)).mpr hM.le)
obtain ⟨y, _hy, rfl⟩ := (mem_coeIdeal _).mp (le_one hx)
-- Since `M` is strictly greater than `P`, let `z ∈ M \ P`.
obtain ⟨z, hzM, hzp⟩ := SetLike.exists_of_lt hM
-- We have `z * y ∈ M * (M⁻¹ * P) = P`.
have zy_mem := mul_mem_mul (mem_coeIdeal_of_mem A⁰ hzM) hx
rw [← RingHom.map_mul, ← mul_assoc, h.mul_inv_eq_one M'_ne, one_mul] at zy_mem
obtain ⟨zy, hzy, zy_eq⟩ := (mem_coeIdeal A⁰).mp zy_mem
rw [IsFractionRing.injective A (FractionRing A) zy_eq] at hzy
-- But `P` is a prime ideal, so `z ∉ P` implies `y ∈ P`, as desired.
exact mem_coeIdeal_of_mem A⁰ (Or.resolve_left (hP.mem_or_mem hzy) hzp)⟩
#align is_dedekind_domain_inv.dimension_le_one IsDedekindDomainInv.dimensionLEOne
/-- Showing one side of the equivalence between the definitions
`IsDedekindDomainInv` and `IsDedekindDomain` of Dedekind domains. -/
theorem isDedekindDomain : IsDedekindDomain A :=
{ h.isNoetherianRing, h.dimensionLEOne, h.integrallyClosed with }
#align is_dedekind_domain_inv.is_dedekind_domain IsDedekindDomainInv.isDedekindDomain
end IsDedekindDomainInv
end IsDedekindDomainInv
variable [Algebra A K] [IsFractionRing A K]
variable {A K}
theorem one_mem_inv_coe_ideal [IsDomain A] {I : Ideal A} (hI : I ≠ ⊥) :
(1 : K) ∈ (I : FractionalIdeal A⁰ K)⁻¹ := by
rw [FractionalIdeal.mem_inv_iff (FractionalIdeal.coeIdeal_ne_zero.mpr hI)]
intro y hy
rw [one_mul]
exact FractionalIdeal.coeIdeal_le_one hy
-- #align fractional_ideal.one_mem_inv_coe_ideal FractionalIdeal.one_mem_inv_coe_ideal
/-- Specialization of `exists_primeSpectrum_prod_le_and_ne_bot_of_domain` to Dedekind domains:
Let `I : Ideal A` be a nonzero ideal, where `A` is a Dedekind domain that is not a field.
Then `exists_primeSpectrum_prod_le_and_ne_bot_of_domain` states we can find a product of prime
ideals that is contained within `I`. This lemma extends that result by making the product minimal:
let `M` be a maximal ideal that contains `I`, then the product including `M` is contained within `I`
and the product excluding `M` is not contained within `I`. -/
theorem exists_multiset_prod_cons_le_and_prod_not_le [IsDedekindDomain A] (hNF : ¬IsField A)
{I M : Ideal A} (hI0 : I ≠ ⊥) (hIM : I ≤ M) [hM : M.IsMaximal] :
∃ Z : Multiset (PrimeSpectrum A),
(M ::ₘ Z.map PrimeSpectrum.asIdeal).prod ≤ I ∧
¬Multiset.prod (Z.map PrimeSpectrum.asIdeal) ≤ I := by
-- Let `Z` be a minimal set of prime ideals such that their product is contained in `J`.
obtain ⟨Z₀, hZ₀⟩ := PrimeSpectrum.exists_primeSpectrum_prod_le_and_ne_bot_of_domain hNF hI0
obtain ⟨Z, ⟨hZI, hprodZ⟩, h_eraseZ⟩ :=
wellFounded_lt.has_min
{Z | (Z.map PrimeSpectrum.asIdeal).prod ≤ I ∧ (Z.map PrimeSpectrum.asIdeal).prod ≠ ⊥}
⟨Z₀, hZ₀.1, hZ₀.2⟩
obtain ⟨_, hPZ', hPM⟩ := hM.isPrime.multiset_prod_le.mp (hZI.trans hIM)
-- Then in fact there is a `P ∈ Z` with `P ≤ M`.
obtain ⟨P, hPZ, rfl⟩ := Multiset.mem_map.mp hPZ'
classical
have := Multiset.map_erase PrimeSpectrum.asIdeal PrimeSpectrum.ext P Z
obtain ⟨hP0, hZP0⟩ : P.asIdeal ≠ ⊥ ∧ ((Z.erase P).map PrimeSpectrum.asIdeal).prod ≠ ⊥ := by
rwa [Ne, ← Multiset.cons_erase hPZ', Multiset.prod_cons, Ideal.mul_eq_bot, not_or, ←
this] at hprodZ
-- By maximality of `P` and `M`, we have that `P ≤ M` implies `P = M`.
have hPM' := (P.IsPrime.isMaximal hP0).eq_of_le hM.ne_top hPM
subst hPM'
-- By minimality of `Z`, erasing `P` from `Z` is exactly what we need.
refine ⟨Z.erase P, ?_, ?_⟩
· convert hZI
rw [this, Multiset.cons_erase hPZ']
· refine fun h => h_eraseZ (Z.erase P) ⟨h, ?_⟩ (Multiset.erase_lt.mpr hPZ)
exact hZP0
#align exists_multiset_prod_cons_le_and_prod_not_le exists_multiset_prod_cons_le_and_prod_not_le
namespace FractionalIdeal
open Ideal
lemma not_inv_le_one_of_ne_bot [IsDedekindDomain A] {I : Ideal A}
(hI0 : I ≠ ⊥) (hI1 : I ≠ ⊤) : ¬(I⁻¹ : FractionalIdeal A⁰ K) ≤ 1 := by
have hNF : ¬IsField A := fun h ↦ letI := h.toField; (eq_bot_or_eq_top I).elim hI0 hI1
wlog hM : I.IsMaximal generalizing I
· rcases I.exists_le_maximal hI1 with ⟨M, hmax, hIM⟩
have hMbot : M ≠ ⊥ := (M.bot_lt_of_maximal hNF).ne'
refine mt (le_trans <| inv_anti_mono ?_ ?_ ?_) (this hMbot hmax.ne_top hmax) <;>
simpa only [coeIdeal_ne_zero, coeIdeal_le_coeIdeal]
have hI0 : ⊥ < I := I.bot_lt_of_maximal hNF
obtain ⟨⟨a, haI⟩, ha0⟩ := Submodule.nonzero_mem_of_bot_lt hI0
replace ha0 : a ≠ 0 := Subtype.coe_injective.ne ha0
let J : Ideal A := Ideal.span {a}
have hJ0 : J ≠ ⊥ := mt Ideal.span_singleton_eq_bot.mp ha0
have hJI : J ≤ I := I.span_singleton_le_iff_mem.2 haI
-- Then we can find a product of prime (hence maximal) ideals contained in `J`,
-- such that removing element `M` from the product is not contained in `J`.
obtain ⟨Z, hle, hnle⟩ := exists_multiset_prod_cons_le_and_prod_not_le hNF hJ0 hJI
-- Choose an element `b` of the product that is not in `J`.
obtain ⟨b, hbZ, hbJ⟩ := SetLike.not_le_iff_exists.mp hnle
have hnz_fa : algebraMap A K a ≠ 0 :=
mt ((injective_iff_map_eq_zero _).mp (IsFractionRing.injective A K) a) ha0
-- Then `b a⁻¹ : K` is in `M⁻¹` but not in `1`.
refine Set.not_subset.2 ⟨algebraMap A K b * (algebraMap A K a)⁻¹, (mem_inv_iff ?_).mpr ?_, ?_⟩
· exact coeIdeal_ne_zero.mpr hI0.ne'
· rintro y₀ hy₀
obtain ⟨y, h_Iy, rfl⟩ := (mem_coeIdeal _).mp hy₀
rw [mul_comm, ← mul_assoc, ← RingHom.map_mul]
have h_yb : y * b ∈ J := by
apply hle
rw [Multiset.prod_cons]
exact Submodule.smul_mem_smul h_Iy hbZ
rw [Ideal.mem_span_singleton'] at h_yb
rcases h_yb with ⟨c, hc⟩
rw [← hc, RingHom.map_mul, mul_assoc, mul_inv_cancel hnz_fa, mul_one]
apply coe_mem_one
· refine mt (mem_one_iff _).mp ?_
rintro ⟨x', h₂_abs⟩
rw [← div_eq_mul_inv, eq_div_iff_mul_eq hnz_fa, ← RingHom.map_mul] at h₂_abs
have := Ideal.mem_span_singleton'.mpr ⟨x', IsFractionRing.injective A K h₂_abs⟩
contradiction
theorem exists_not_mem_one_of_ne_bot [IsDedekindDomain A] {I : Ideal A} (hI0 : I ≠ ⊥)
(hI1 : I ≠ ⊤) : ∃ x ∈ (I⁻¹ : FractionalIdeal A⁰ K), x ∉ (1 : FractionalIdeal A⁰ K) :=
Set.not_subset.1 <| not_inv_le_one_of_ne_bot hI0 hI1
#align fractional_ideal.exists_not_mem_one_of_ne_bot FractionalIdeal.exists_not_mem_one_of_ne_bot
| Mathlib/RingTheory/DedekindDomain/Ideal.lean | 450 | 463 | theorem mul_inv_cancel_of_le_one [h : IsDedekindDomain A] {I : Ideal A} (hI0 : I ≠ ⊥)
(hI : (I * (I : FractionalIdeal A⁰ K)⁻¹)⁻¹ ≤ 1) : I * (I : FractionalIdeal A⁰ K)⁻¹ = 1 := by |
-- We'll show a contradiction with `exists_not_mem_one_of_ne_bot`:
-- `J⁻¹ = (I * I⁻¹)⁻¹` cannot have an element `x ∉ 1`, so it must equal `1`.
obtain ⟨J, hJ⟩ : ∃ J : Ideal A, (J : FractionalIdeal A⁰ K) = I * (I : FractionalIdeal A⁰ K)⁻¹ :=
le_one_iff_exists_coeIdeal.mp mul_one_div_le_one
by_cases hJ0 : J = ⊥
· subst hJ0
refine absurd ?_ hI0
rw [eq_bot_iff, ← coeIdeal_le_coeIdeal K, hJ]
exact coe_ideal_le_self_mul_inv K I
by_cases hJ1 : J = ⊤
· rw [← hJ, hJ1, coeIdeal_top]
exact (not_inv_le_one_of_ne_bot (K := K) hJ0 hJ1 (hJ ▸ hI)).elim
|
/-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
#align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840"
/-!
# Affine spaces
This file defines affine subspaces (over modules) and the affine span of a set of points.
## Main definitions
* `AffineSubspace k P` is the type of affine subspaces. Unlike affine spaces, affine subspaces are
allowed to be empty, and lemmas that do not apply to empty affine subspaces have `Nonempty`
hypotheses. There is a `CompleteLattice` structure on affine subspaces.
* `AffineSubspace.direction` gives the `Submodule` spanned by the pairwise differences of points
in an `AffineSubspace`. There are various lemmas relating to the set of vectors in the
`direction`, and relating the lattice structure on affine subspaces to that on their directions.
* `AffineSubspace.parallel`, notation `∥`, gives the property of two affine subspaces being
parallel (one being a translate of the other).
* `affineSpan` gives the affine subspace spanned by a set of points, with `vectorSpan` giving its
direction. The `affineSpan` is defined in terms of `spanPoints`, which gives an explicit
description of the points contained in the affine span; `spanPoints` itself should generally only
be used when that description is required, with `affineSpan` being the main definition for other
purposes. Two other descriptions of the affine span are proved equivalent: it is the `sInf` of
affine subspaces containing the points, and (if `[Nontrivial k]`) it contains exactly those points
that are affine combinations of points in the given set.
## Implementation notes
`outParam` is used in the definition of `AddTorsor V P` to make `V` an implicit argument (deduced
from `P`) in most cases. As for modules, `k` is an explicit argument rather than implied by `P` or
`V`.
This file only provides purely algebraic definitions and results. Those depending on analysis or
topology are defined elsewhere; see `Analysis.NormedSpace.AddTorsor` and `Topology.Algebra.Affine`.
## References
* https://en.wikipedia.org/wiki/Affine_space
* https://en.wikipedia.org/wiki/Principal_homogeneous_space
-/
noncomputable section
open Affine
open Set
section
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P]
/-- The submodule spanning the differences of a (possibly empty) set of points. -/
def vectorSpan (s : Set P) : Submodule k V :=
Submodule.span k (s -ᵥ s)
#align vector_span vectorSpan
/-- The definition of `vectorSpan`, for rewriting. -/
theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) :=
rfl
#align vector_span_def vectorSpan_def
/-- `vectorSpan` is monotone. -/
theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ :=
Submodule.span_mono (vsub_self_mono h)
#align vector_span_mono vectorSpan_mono
variable (P)
/-- The `vectorSpan` of the empty set is `⊥`. -/
@[simp]
theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by
rw [vectorSpan_def, vsub_empty, Submodule.span_empty]
#align vector_span_empty vectorSpan_empty
variable {P}
/-- The `vectorSpan` of a single point is `⊥`. -/
@[simp]
theorem vectorSpan_singleton (p : P) : vectorSpan k ({p} : Set P) = ⊥ := by simp [vectorSpan_def]
#align vector_span_singleton vectorSpan_singleton
/-- The `s -ᵥ s` lies within the `vectorSpan k s`. -/
theorem vsub_set_subset_vectorSpan (s : Set P) : s -ᵥ s ⊆ ↑(vectorSpan k s) :=
Submodule.subset_span
#align vsub_set_subset_vector_span vsub_set_subset_vectorSpan
/-- Each pairwise difference is in the `vectorSpan`. -/
theorem vsub_mem_vectorSpan {s : Set P} {p1 p2 : P} (hp1 : p1 ∈ s) (hp2 : p2 ∈ s) :
p1 -ᵥ p2 ∈ vectorSpan k s :=
vsub_set_subset_vectorSpan k s (vsub_mem_vsub hp1 hp2)
#align vsub_mem_vector_span vsub_mem_vectorSpan
/-- The points in the affine span of a (possibly empty) set of points. Use `affineSpan` instead to
get an `AffineSubspace k P`. -/
def spanPoints (s : Set P) : Set P :=
{ p | ∃ p1 ∈ s, ∃ v ∈ vectorSpan k s, p = v +ᵥ p1 }
#align span_points spanPoints
/-- A point in a set is in its affine span. -/
theorem mem_spanPoints (p : P) (s : Set P) : p ∈ s → p ∈ spanPoints k s
| hp => ⟨p, hp, 0, Submodule.zero_mem _, (zero_vadd V p).symm⟩
#align mem_span_points mem_spanPoints
/-- A set is contained in its `spanPoints`. -/
theorem subset_spanPoints (s : Set P) : s ⊆ spanPoints k s := fun p => mem_spanPoints k p s
#align subset_span_points subset_spanPoints
/-- The `spanPoints` of a set is nonempty if and only if that set is. -/
@[simp]
theorem spanPoints_nonempty (s : Set P) : (spanPoints k s).Nonempty ↔ s.Nonempty := by
constructor
· contrapose
rw [Set.not_nonempty_iff_eq_empty, Set.not_nonempty_iff_eq_empty]
intro h
simp [h, spanPoints]
· exact fun h => h.mono (subset_spanPoints _ _)
#align span_points_nonempty spanPoints_nonempty
/-- Adding a point in the affine span and a vector in the spanning submodule produces a point in the
affine span. -/
theorem vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan {s : Set P} {p : P} {v : V}
(hp : p ∈ spanPoints k s) (hv : v ∈ vectorSpan k s) : v +ᵥ p ∈ spanPoints k s := by
rcases hp with ⟨p2, ⟨hp2, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩
rw [hv2p, vadd_vadd]
exact ⟨p2, hp2, v + v2, (vectorSpan k s).add_mem hv hv2, rfl⟩
#align vadd_mem_span_points_of_mem_span_points_of_mem_vector_span vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan
/-- Subtracting two points in the affine span produces a vector in the spanning submodule. -/
theorem vsub_mem_vectorSpan_of_mem_spanPoints_of_mem_spanPoints {s : Set P} {p1 p2 : P}
(hp1 : p1 ∈ spanPoints k s) (hp2 : p2 ∈ spanPoints k s) : p1 -ᵥ p2 ∈ vectorSpan k s := by
rcases hp1 with ⟨p1a, ⟨hp1a, ⟨v1, ⟨hv1, hv1p⟩⟩⟩⟩
rcases hp2 with ⟨p2a, ⟨hp2a, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩
rw [hv1p, hv2p, vsub_vadd_eq_vsub_sub (v1 +ᵥ p1a), vadd_vsub_assoc, add_comm, add_sub_assoc]
have hv1v2 : v1 - v2 ∈ vectorSpan k s := (vectorSpan k s).sub_mem hv1 hv2
refine (vectorSpan k s).add_mem ?_ hv1v2
exact vsub_mem_vectorSpan k hp1a hp2a
#align vsub_mem_vector_span_of_mem_span_points_of_mem_span_points vsub_mem_vectorSpan_of_mem_spanPoints_of_mem_spanPoints
end
/-- An `AffineSubspace k P` is a subset of an `AffineSpace V P` that, if not empty, has an affine
space structure induced by a corresponding subspace of the `Module k V`. -/
structure AffineSubspace (k : Type*) {V : Type*} (P : Type*) [Ring k] [AddCommGroup V]
[Module k V] [AffineSpace V P] where
/-- The affine subspace seen as a subset. -/
carrier : Set P
smul_vsub_vadd_mem :
∀ (c : k) {p1 p2 p3 : P},
p1 ∈ carrier → p2 ∈ carrier → p3 ∈ carrier → c • (p1 -ᵥ p2 : V) +ᵥ p3 ∈ carrier
#align affine_subspace AffineSubspace
namespace Submodule
variable {k V : Type*} [Ring k] [AddCommGroup V] [Module k V]
/-- Reinterpret `p : Submodule k V` as an `AffineSubspace k V`. -/
def toAffineSubspace (p : Submodule k V) : AffineSubspace k V where
carrier := p
smul_vsub_vadd_mem _ _ _ _ h₁ h₂ h₃ := p.add_mem (p.smul_mem _ (p.sub_mem h₁ h₂)) h₃
#align submodule.to_affine_subspace Submodule.toAffineSubspace
end Submodule
namespace AffineSubspace
variable (k : Type*) {V : Type*} (P : Type*) [Ring k] [AddCommGroup V] [Module k V]
[AffineSpace V P]
instance : SetLike (AffineSubspace k P) P where
coe := carrier
coe_injective' p q _ := by cases p; cases q; congr
/-- A point is in an affine subspace coerced to a set if and only if it is in that affine
subspace. -/
-- Porting note: removed `simp`, proof is `simp only [SetLike.mem_coe]`
theorem mem_coe (p : P) (s : AffineSubspace k P) : p ∈ (s : Set P) ↔ p ∈ s :=
Iff.rfl
#align affine_subspace.mem_coe AffineSubspace.mem_coe
variable {k P}
/-- The direction of an affine subspace is the submodule spanned by
the pairwise differences of points. (Except in the case of an empty
affine subspace, where the direction is the zero submodule, every
vector in the direction is the difference of two points in the affine
subspace.) -/
def direction (s : AffineSubspace k P) : Submodule k V :=
vectorSpan k (s : Set P)
#align affine_subspace.direction AffineSubspace.direction
/-- The direction equals the `vectorSpan`. -/
theorem direction_eq_vectorSpan (s : AffineSubspace k P) : s.direction = vectorSpan k (s : Set P) :=
rfl
#align affine_subspace.direction_eq_vector_span AffineSubspace.direction_eq_vectorSpan
/-- Alternative definition of the direction when the affine subspace is nonempty. This is defined so
that the order on submodules (as used in the definition of `Submodule.span`) can be used in the
proof of `coe_direction_eq_vsub_set`, and is not intended to be used beyond that proof. -/
def directionOfNonempty {s : AffineSubspace k P} (h : (s : Set P).Nonempty) : Submodule k V where
carrier := (s : Set P) -ᵥ s
zero_mem' := by
cases' h with p hp
exact vsub_self p ▸ vsub_mem_vsub hp hp
add_mem' := by
rintro _ _ ⟨p1, hp1, p2, hp2, rfl⟩ ⟨p3, hp3, p4, hp4, rfl⟩
rw [← vadd_vsub_assoc]
refine vsub_mem_vsub ?_ hp4
convert s.smul_vsub_vadd_mem 1 hp1 hp2 hp3
rw [one_smul]
smul_mem' := by
rintro c _ ⟨p1, hp1, p2, hp2, rfl⟩
rw [← vadd_vsub (c • (p1 -ᵥ p2)) p2]
refine vsub_mem_vsub ?_ hp2
exact s.smul_vsub_vadd_mem c hp1 hp2 hp2
#align affine_subspace.direction_of_nonempty AffineSubspace.directionOfNonempty
/-- `direction_of_nonempty` gives the same submodule as `direction`. -/
theorem directionOfNonempty_eq_direction {s : AffineSubspace k P} (h : (s : Set P).Nonempty) :
directionOfNonempty h = s.direction := by
refine le_antisymm ?_ (Submodule.span_le.2 Set.Subset.rfl)
rw [← SetLike.coe_subset_coe, directionOfNonempty, direction, Submodule.coe_set_mk,
AddSubmonoid.coe_set_mk]
exact vsub_set_subset_vectorSpan k _
#align affine_subspace.direction_of_nonempty_eq_direction AffineSubspace.directionOfNonempty_eq_direction
/-- The set of vectors in the direction of a nonempty affine subspace is given by `vsub_set`. -/
theorem coe_direction_eq_vsub_set {s : AffineSubspace k P} (h : (s : Set P).Nonempty) :
(s.direction : Set V) = (s : Set P) -ᵥ s :=
directionOfNonempty_eq_direction h ▸ rfl
#align affine_subspace.coe_direction_eq_vsub_set AffineSubspace.coe_direction_eq_vsub_set
/-- A vector is in the direction of a nonempty affine subspace if and only if it is the subtraction
of two vectors in the subspace. -/
theorem mem_direction_iff_eq_vsub {s : AffineSubspace k P} (h : (s : Set P).Nonempty) (v : V) :
v ∈ s.direction ↔ ∃ p1 ∈ s, ∃ p2 ∈ s, v = p1 -ᵥ p2 := by
rw [← SetLike.mem_coe, coe_direction_eq_vsub_set h, Set.mem_vsub]
simp only [SetLike.mem_coe, eq_comm]
#align affine_subspace.mem_direction_iff_eq_vsub AffineSubspace.mem_direction_iff_eq_vsub
/-- Adding a vector in the direction to a point in the subspace produces a point in the
subspace. -/
theorem vadd_mem_of_mem_direction {s : AffineSubspace k P} {v : V} (hv : v ∈ s.direction) {p : P}
(hp : p ∈ s) : v +ᵥ p ∈ s := by
rw [mem_direction_iff_eq_vsub ⟨p, hp⟩] at hv
rcases hv with ⟨p1, hp1, p2, hp2, hv⟩
rw [hv]
convert s.smul_vsub_vadd_mem 1 hp1 hp2 hp
rw [one_smul]
exact s.mem_coe k P _
#align affine_subspace.vadd_mem_of_mem_direction AffineSubspace.vadd_mem_of_mem_direction
/-- Subtracting two points in the subspace produces a vector in the direction. -/
theorem vsub_mem_direction {s : AffineSubspace k P} {p1 p2 : P} (hp1 : p1 ∈ s) (hp2 : p2 ∈ s) :
p1 -ᵥ p2 ∈ s.direction :=
vsub_mem_vectorSpan k hp1 hp2
#align affine_subspace.vsub_mem_direction AffineSubspace.vsub_mem_direction
/-- Adding a vector to a point in a subspace produces a point in the subspace if and only if the
vector is in the direction. -/
theorem vadd_mem_iff_mem_direction {s : AffineSubspace k P} (v : V) {p : P} (hp : p ∈ s) :
v +ᵥ p ∈ s ↔ v ∈ s.direction :=
⟨fun h => by simpa using vsub_mem_direction h hp, fun h => vadd_mem_of_mem_direction h hp⟩
#align affine_subspace.vadd_mem_iff_mem_direction AffineSubspace.vadd_mem_iff_mem_direction
/-- Adding a vector in the direction to a point produces a point in the subspace if and only if
the original point is in the subspace. -/
theorem vadd_mem_iff_mem_of_mem_direction {s : AffineSubspace k P} {v : V} (hv : v ∈ s.direction)
{p : P} : v +ᵥ p ∈ s ↔ p ∈ s := by
refine ⟨fun h => ?_, fun h => vadd_mem_of_mem_direction hv h⟩
convert vadd_mem_of_mem_direction (Submodule.neg_mem _ hv) h
simp
#align affine_subspace.vadd_mem_iff_mem_of_mem_direction AffineSubspace.vadd_mem_iff_mem_of_mem_direction
/-- Given a point in an affine subspace, the set of vectors in its direction equals the set of
vectors subtracting that point on the right. -/
theorem coe_direction_eq_vsub_set_right {s : AffineSubspace k P} {p : P} (hp : p ∈ s) :
(s.direction : Set V) = (· -ᵥ p) '' s := by
rw [coe_direction_eq_vsub_set ⟨p, hp⟩]
refine le_antisymm ?_ ?_
· rintro v ⟨p1, hp1, p2, hp2, rfl⟩
exact ⟨p1 -ᵥ p2 +ᵥ p, vadd_mem_of_mem_direction (vsub_mem_direction hp1 hp2) hp, vadd_vsub _ _⟩
· rintro v ⟨p2, hp2, rfl⟩
exact ⟨p2, hp2, p, hp, rfl⟩
#align affine_subspace.coe_direction_eq_vsub_set_right AffineSubspace.coe_direction_eq_vsub_set_right
/-- Given a point in an affine subspace, the set of vectors in its direction equals the set of
vectors subtracting that point on the left. -/
theorem coe_direction_eq_vsub_set_left {s : AffineSubspace k P} {p : P} (hp : p ∈ s) :
(s.direction : Set V) = (p -ᵥ ·) '' s := by
ext v
rw [SetLike.mem_coe, ← Submodule.neg_mem_iff, ← SetLike.mem_coe,
coe_direction_eq_vsub_set_right hp, Set.mem_image, Set.mem_image]
conv_lhs =>
congr
ext
rw [← neg_vsub_eq_vsub_rev, neg_inj]
#align affine_subspace.coe_direction_eq_vsub_set_left AffineSubspace.coe_direction_eq_vsub_set_left
/-- Given a point in an affine subspace, a vector is in its direction if and only if it results from
subtracting that point on the right. -/
theorem mem_direction_iff_eq_vsub_right {s : AffineSubspace k P} {p : P} (hp : p ∈ s) (v : V) :
v ∈ s.direction ↔ ∃ p2 ∈ s, v = p2 -ᵥ p := by
rw [← SetLike.mem_coe, coe_direction_eq_vsub_set_right hp]
exact ⟨fun ⟨p2, hp2, hv⟩ => ⟨p2, hp2, hv.symm⟩, fun ⟨p2, hp2, hv⟩ => ⟨p2, hp2, hv.symm⟩⟩
#align affine_subspace.mem_direction_iff_eq_vsub_right AffineSubspace.mem_direction_iff_eq_vsub_right
/-- Given a point in an affine subspace, a vector is in its direction if and only if it results from
subtracting that point on the left. -/
theorem mem_direction_iff_eq_vsub_left {s : AffineSubspace k P} {p : P} (hp : p ∈ s) (v : V) :
v ∈ s.direction ↔ ∃ p2 ∈ s, v = p -ᵥ p2 := by
rw [← SetLike.mem_coe, coe_direction_eq_vsub_set_left hp]
exact ⟨fun ⟨p2, hp2, hv⟩ => ⟨p2, hp2, hv.symm⟩, fun ⟨p2, hp2, hv⟩ => ⟨p2, hp2, hv.symm⟩⟩
#align affine_subspace.mem_direction_iff_eq_vsub_left AffineSubspace.mem_direction_iff_eq_vsub_left
/-- Given a point in an affine subspace, a result of subtracting that point on the right is in the
direction if and only if the other point is in the subspace. -/
theorem vsub_right_mem_direction_iff_mem {s : AffineSubspace k P} {p : P} (hp : p ∈ s) (p2 : P) :
p2 -ᵥ p ∈ s.direction ↔ p2 ∈ s := by
rw [mem_direction_iff_eq_vsub_right hp]
simp
#align affine_subspace.vsub_right_mem_direction_iff_mem AffineSubspace.vsub_right_mem_direction_iff_mem
/-- Given a point in an affine subspace, a result of subtracting that point on the left is in the
direction if and only if the other point is in the subspace. -/
theorem vsub_left_mem_direction_iff_mem {s : AffineSubspace k P} {p : P} (hp : p ∈ s) (p2 : P) :
p -ᵥ p2 ∈ s.direction ↔ p2 ∈ s := by
rw [mem_direction_iff_eq_vsub_left hp]
simp
#align affine_subspace.vsub_left_mem_direction_iff_mem AffineSubspace.vsub_left_mem_direction_iff_mem
/-- Two affine subspaces are equal if they have the same points. -/
theorem coe_injective : Function.Injective ((↑) : AffineSubspace k P → Set P) :=
SetLike.coe_injective
#align affine_subspace.coe_injective AffineSubspace.coe_injective
@[ext]
theorem ext {p q : AffineSubspace k P} (h : ∀ x, x ∈ p ↔ x ∈ q) : p = q :=
SetLike.ext h
#align affine_subspace.ext AffineSubspace.ext
-- Porting note: removed `simp`, proof is `simp only [SetLike.ext'_iff]`
theorem ext_iff (s₁ s₂ : AffineSubspace k P) : (s₁ : Set P) = s₂ ↔ s₁ = s₂ :=
SetLike.ext'_iff.symm
#align affine_subspace.ext_iff AffineSubspace.ext_iff
/-- Two affine subspaces with the same direction and nonempty intersection are equal. -/
theorem ext_of_direction_eq {s1 s2 : AffineSubspace k P} (hd : s1.direction = s2.direction)
(hn : ((s1 : Set P) ∩ s2).Nonempty) : s1 = s2 := by
ext p
have hq1 := Set.mem_of_mem_inter_left hn.some_mem
have hq2 := Set.mem_of_mem_inter_right hn.some_mem
constructor
· intro hp
rw [← vsub_vadd p hn.some]
refine vadd_mem_of_mem_direction ?_ hq2
rw [← hd]
exact vsub_mem_direction hp hq1
· intro hp
rw [← vsub_vadd p hn.some]
refine vadd_mem_of_mem_direction ?_ hq1
rw [hd]
exact vsub_mem_direction hp hq2
#align affine_subspace.ext_of_direction_eq AffineSubspace.ext_of_direction_eq
-- See note [reducible non instances]
/-- This is not an instance because it loops with `AddTorsor.nonempty`. -/
abbrev toAddTorsor (s : AffineSubspace k P) [Nonempty s] : AddTorsor s.direction s where
vadd a b := ⟨(a : V) +ᵥ (b : P), vadd_mem_of_mem_direction a.2 b.2⟩
zero_vadd := fun a => by
ext
exact zero_vadd _ _
add_vadd a b c := by
ext
apply add_vadd
vsub a b := ⟨(a : P) -ᵥ (b : P), (vsub_left_mem_direction_iff_mem a.2 _).mpr b.2⟩
vsub_vadd' a b := by
ext
apply AddTorsor.vsub_vadd'
vadd_vsub' a b := by
ext
apply AddTorsor.vadd_vsub'
#align affine_subspace.to_add_torsor AffineSubspace.toAddTorsor
attribute [local instance] toAddTorsor
@[simp, norm_cast]
theorem coe_vsub (s : AffineSubspace k P) [Nonempty s] (a b : s) : ↑(a -ᵥ b) = (a : P) -ᵥ (b : P) :=
rfl
#align affine_subspace.coe_vsub AffineSubspace.coe_vsub
@[simp, norm_cast]
theorem coe_vadd (s : AffineSubspace k P) [Nonempty s] (a : s.direction) (b : s) :
↑(a +ᵥ b) = (a : V) +ᵥ (b : P) :=
rfl
#align affine_subspace.coe_vadd AffineSubspace.coe_vadd
/-- Embedding of an affine subspace to the ambient space, as an affine map. -/
protected def subtype (s : AffineSubspace k P) [Nonempty s] : s →ᵃ[k] P where
toFun := (↑)
linear := s.direction.subtype
map_vadd' _ _ := rfl
#align affine_subspace.subtype AffineSubspace.subtype
@[simp]
theorem subtype_linear (s : AffineSubspace k P) [Nonempty s] :
s.subtype.linear = s.direction.subtype := rfl
#align affine_subspace.subtype_linear AffineSubspace.subtype_linear
theorem subtype_apply (s : AffineSubspace k P) [Nonempty s] (p : s) : s.subtype p = p :=
rfl
#align affine_subspace.subtype_apply AffineSubspace.subtype_apply
@[simp]
theorem coeSubtype (s : AffineSubspace k P) [Nonempty s] : (s.subtype : s → P) = ((↑) : s → P) :=
rfl
#align affine_subspace.coe_subtype AffineSubspace.coeSubtype
theorem injective_subtype (s : AffineSubspace k P) [Nonempty s] : Function.Injective s.subtype :=
Subtype.coe_injective
#align affine_subspace.injective_subtype AffineSubspace.injective_subtype
/-- Two affine subspaces with nonempty intersection are equal if and only if their directions are
equal. -/
theorem eq_iff_direction_eq_of_mem {s₁ s₂ : AffineSubspace k P} {p : P} (h₁ : p ∈ s₁)
(h₂ : p ∈ s₂) : s₁ = s₂ ↔ s₁.direction = s₂.direction :=
⟨fun h => h ▸ rfl, fun h => ext_of_direction_eq h ⟨p, h₁, h₂⟩⟩
#align affine_subspace.eq_iff_direction_eq_of_mem AffineSubspace.eq_iff_direction_eq_of_mem
/-- Construct an affine subspace from a point and a direction. -/
def mk' (p : P) (direction : Submodule k V) : AffineSubspace k P where
carrier := { q | ∃ v ∈ direction, q = v +ᵥ p }
smul_vsub_vadd_mem c p1 p2 p3 hp1 hp2 hp3 := by
rcases hp1 with ⟨v1, hv1, hp1⟩
rcases hp2 with ⟨v2, hv2, hp2⟩
rcases hp3 with ⟨v3, hv3, hp3⟩
use c • (v1 - v2) + v3, direction.add_mem (direction.smul_mem c (direction.sub_mem hv1 hv2)) hv3
simp [hp1, hp2, hp3, vadd_vadd]
#align affine_subspace.mk' AffineSubspace.mk'
/-- An affine subspace constructed from a point and a direction contains that point. -/
theorem self_mem_mk' (p : P) (direction : Submodule k V) : p ∈ mk' p direction :=
⟨0, ⟨direction.zero_mem, (zero_vadd _ _).symm⟩⟩
#align affine_subspace.self_mem_mk' AffineSubspace.self_mem_mk'
/-- An affine subspace constructed from a point and a direction contains the result of adding a
vector in that direction to that point. -/
theorem vadd_mem_mk' {v : V} (p : P) {direction : Submodule k V} (hv : v ∈ direction) :
v +ᵥ p ∈ mk' p direction :=
⟨v, hv, rfl⟩
#align affine_subspace.vadd_mem_mk' AffineSubspace.vadd_mem_mk'
/-- An affine subspace constructed from a point and a direction is nonempty. -/
theorem mk'_nonempty (p : P) (direction : Submodule k V) : (mk' p direction : Set P).Nonempty :=
⟨p, self_mem_mk' p direction⟩
#align affine_subspace.mk'_nonempty AffineSubspace.mk'_nonempty
/-- The direction of an affine subspace constructed from a point and a direction. -/
@[simp]
theorem direction_mk' (p : P) (direction : Submodule k V) :
(mk' p direction).direction = direction := by
ext v
rw [mem_direction_iff_eq_vsub (mk'_nonempty _ _)]
constructor
· rintro ⟨p1, ⟨v1, hv1, hp1⟩, p2, ⟨v2, hv2, hp2⟩, hv⟩
rw [hv, hp1, hp2, vadd_vsub_vadd_cancel_right]
exact direction.sub_mem hv1 hv2
· exact fun hv => ⟨v +ᵥ p, vadd_mem_mk' _ hv, p, self_mem_mk' _ _, (vadd_vsub _ _).symm⟩
#align affine_subspace.direction_mk' AffineSubspace.direction_mk'
/-- A point lies in an affine subspace constructed from another point and a direction if and only
if their difference is in that direction. -/
theorem mem_mk'_iff_vsub_mem {p₁ p₂ : P} {direction : Submodule k V} :
p₂ ∈ mk' p₁ direction ↔ p₂ -ᵥ p₁ ∈ direction := by
refine ⟨fun h => ?_, fun h => ?_⟩
· rw [← direction_mk' p₁ direction]
exact vsub_mem_direction h (self_mem_mk' _ _)
· rw [← vsub_vadd p₂ p₁]
exact vadd_mem_mk' p₁ h
#align affine_subspace.mem_mk'_iff_vsub_mem AffineSubspace.mem_mk'_iff_vsub_mem
/-- Constructing an affine subspace from a point in a subspace and that subspace's direction
yields the original subspace. -/
@[simp]
theorem mk'_eq {s : AffineSubspace k P} {p : P} (hp : p ∈ s) : mk' p s.direction = s :=
ext_of_direction_eq (direction_mk' p s.direction) ⟨p, Set.mem_inter (self_mem_mk' _ _) hp⟩
#align affine_subspace.mk'_eq AffineSubspace.mk'_eq
/-- If an affine subspace contains a set of points, it contains the `spanPoints` of that set. -/
theorem spanPoints_subset_coe_of_subset_coe {s : Set P} {s1 : AffineSubspace k P} (h : s ⊆ s1) :
spanPoints k s ⊆ s1 := by
rintro p ⟨p1, hp1, v, hv, hp⟩
rw [hp]
have hp1s1 : p1 ∈ (s1 : Set P) := Set.mem_of_mem_of_subset hp1 h
refine vadd_mem_of_mem_direction ?_ hp1s1
have hs : vectorSpan k s ≤ s1.direction := vectorSpan_mono k h
rw [SetLike.le_def] at hs
rw [← SetLike.mem_coe]
exact Set.mem_of_mem_of_subset hv hs
#align affine_subspace.span_points_subset_coe_of_subset_coe AffineSubspace.spanPoints_subset_coe_of_subset_coe
end AffineSubspace
namespace Submodule
variable {k V : Type*} [Ring k] [AddCommGroup V] [Module k V]
@[simp]
theorem mem_toAffineSubspace {p : Submodule k V} {x : V} :
x ∈ p.toAffineSubspace ↔ x ∈ p :=
Iff.rfl
@[simp]
theorem toAffineSubspace_direction (s : Submodule k V) : s.toAffineSubspace.direction = s := by
ext x; simp [← s.toAffineSubspace.vadd_mem_iff_mem_direction _ s.zero_mem]
end Submodule
theorem AffineMap.lineMap_mem {k V P : Type*} [Ring k] [AddCommGroup V] [Module k V]
[AddTorsor V P] {Q : AffineSubspace k P} {p₀ p₁ : P} (c : k) (h₀ : p₀ ∈ Q) (h₁ : p₁ ∈ Q) :
AffineMap.lineMap p₀ p₁ c ∈ Q := by
rw [AffineMap.lineMap_apply]
exact Q.smul_vsub_vadd_mem c h₁ h₀ h₀
#align affine_map.line_map_mem AffineMap.lineMap_mem
section affineSpan
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
[AffineSpace V P]
/-- The affine span of a set of points is the smallest affine subspace containing those points.
(Actually defined here in terms of spans in modules.) -/
def affineSpan (s : Set P) : AffineSubspace k P where
carrier := spanPoints k s
smul_vsub_vadd_mem c _ _ _ hp1 hp2 hp3 :=
vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan k hp3
((vectorSpan k s).smul_mem c
(vsub_mem_vectorSpan_of_mem_spanPoints_of_mem_spanPoints k hp1 hp2))
#align affine_span affineSpan
/-- The affine span, converted to a set, is `spanPoints`. -/
@[simp]
theorem coe_affineSpan (s : Set P) : (affineSpan k s : Set P) = spanPoints k s :=
rfl
#align coe_affine_span coe_affineSpan
/-- A set is contained in its affine span. -/
theorem subset_affineSpan (s : Set P) : s ⊆ affineSpan k s :=
subset_spanPoints k s
#align subset_affine_span subset_affineSpan
/-- The direction of the affine span is the `vectorSpan`. -/
theorem direction_affineSpan (s : Set P) : (affineSpan k s).direction = vectorSpan k s := by
apply le_antisymm
· refine Submodule.span_le.2 ?_
rintro v ⟨p1, ⟨p2, hp2, v1, hv1, hp1⟩, p3, ⟨p4, hp4, v2, hv2, hp3⟩, rfl⟩
simp only [SetLike.mem_coe]
rw [hp1, hp3, vsub_vadd_eq_vsub_sub, vadd_vsub_assoc]
exact
(vectorSpan k s).sub_mem ((vectorSpan k s).add_mem hv1 (vsub_mem_vectorSpan k hp2 hp4)) hv2
· exact vectorSpan_mono k (subset_spanPoints k s)
#align direction_affine_span direction_affineSpan
/-- A point in a set is in its affine span. -/
theorem mem_affineSpan {p : P} {s : Set P} (hp : p ∈ s) : p ∈ affineSpan k s :=
mem_spanPoints k p s hp
#align mem_affine_span mem_affineSpan
end affineSpan
namespace AffineSubspace
variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
[S : AffineSpace V P]
instance : CompleteLattice (AffineSubspace k P) :=
{
PartialOrder.lift ((↑) : AffineSubspace k P → Set P)
coe_injective with
sup := fun s1 s2 => affineSpan k (s1 ∪ s2)
le_sup_left := fun s1 s2 =>
Set.Subset.trans Set.subset_union_left (subset_spanPoints k _)
le_sup_right := fun s1 s2 =>
Set.Subset.trans Set.subset_union_right (subset_spanPoints k _)
sup_le := fun s1 s2 s3 hs1 hs2 => spanPoints_subset_coe_of_subset_coe (Set.union_subset hs1 hs2)
inf := fun s1 s2 =>
mk (s1 ∩ s2) fun c p1 p2 p3 hp1 hp2 hp3 =>
⟨s1.smul_vsub_vadd_mem c hp1.1 hp2.1 hp3.1, s2.smul_vsub_vadd_mem c hp1.2 hp2.2 hp3.2⟩
inf_le_left := fun _ _ => Set.inter_subset_left
inf_le_right := fun _ _ => Set.inter_subset_right
le_sInf := fun S s1 hs1 => by
-- Porting note: surely there is an easier way?
refine Set.subset_sInter (t := (s1 : Set P)) ?_
rintro t ⟨s, _hs, rfl⟩
exact Set.subset_iInter (hs1 s)
top :=
{ carrier := Set.univ
smul_vsub_vadd_mem := fun _ _ _ _ _ _ _ => Set.mem_univ _ }
le_top := fun _ _ _ => Set.mem_univ _
bot :=
{ carrier := ∅
smul_vsub_vadd_mem := fun _ _ _ _ => False.elim }
bot_le := fun _ _ => False.elim
sSup := fun s => affineSpan k (⋃ s' ∈ s, (s' : Set P))
sInf := fun s =>
mk (⋂ s' ∈ s, (s' : Set P)) fun c p1 p2 p3 hp1 hp2 hp3 =>
Set.mem_iInter₂.2 fun s2 hs2 => by
rw [Set.mem_iInter₂] at *
exact s2.smul_vsub_vadd_mem c (hp1 s2 hs2) (hp2 s2 hs2) (hp3 s2 hs2)
le_sSup := fun _ _ h => Set.Subset.trans (Set.subset_biUnion_of_mem h) (subset_spanPoints k _)
sSup_le := fun _ _ h => spanPoints_subset_coe_of_subset_coe (Set.iUnion₂_subset h)
sInf_le := fun _ _ => Set.biInter_subset_of_mem
le_inf := fun _ _ _ => Set.subset_inter }
instance : Inhabited (AffineSubspace k P) :=
⟨⊤⟩
/-- The `≤` order on subspaces is the same as that on the corresponding sets. -/
theorem le_def (s1 s2 : AffineSubspace k P) : s1 ≤ s2 ↔ (s1 : Set P) ⊆ s2 :=
Iff.rfl
#align affine_subspace.le_def AffineSubspace.le_def
/-- One subspace is less than or equal to another if and only if all its points are in the second
subspace. -/
theorem le_def' (s1 s2 : AffineSubspace k P) : s1 ≤ s2 ↔ ∀ p ∈ s1, p ∈ s2 :=
Iff.rfl
#align affine_subspace.le_def' AffineSubspace.le_def'
/-- The `<` order on subspaces is the same as that on the corresponding sets. -/
theorem lt_def (s1 s2 : AffineSubspace k P) : s1 < s2 ↔ (s1 : Set P) ⊂ s2 :=
Iff.rfl
#align affine_subspace.lt_def AffineSubspace.lt_def
/-- One subspace is not less than or equal to another if and only if it has a point not in the
second subspace. -/
theorem not_le_iff_exists (s1 s2 : AffineSubspace k P) : ¬s1 ≤ s2 ↔ ∃ p ∈ s1, p ∉ s2 :=
Set.not_subset
#align affine_subspace.not_le_iff_exists AffineSubspace.not_le_iff_exists
/-- If a subspace is less than another, there is a point only in the second. -/
theorem exists_of_lt {s1 s2 : AffineSubspace k P} (h : s1 < s2) : ∃ p ∈ s2, p ∉ s1 :=
Set.exists_of_ssubset h
#align affine_subspace.exists_of_lt AffineSubspace.exists_of_lt
/-- A subspace is less than another if and only if it is less than or equal to the second subspace
and there is a point only in the second. -/
theorem lt_iff_le_and_exists (s1 s2 : AffineSubspace k P) :
s1 < s2 ↔ s1 ≤ s2 ∧ ∃ p ∈ s2, p ∉ s1 := by
rw [lt_iff_le_not_le, not_le_iff_exists]
#align affine_subspace.lt_iff_le_and_exists AffineSubspace.lt_iff_le_and_exists
/-- If an affine subspace is nonempty and contained in another with the same direction, they are
equal. -/
theorem eq_of_direction_eq_of_nonempty_of_le {s₁ s₂ : AffineSubspace k P}
(hd : s₁.direction = s₂.direction) (hn : (s₁ : Set P).Nonempty) (hle : s₁ ≤ s₂) : s₁ = s₂ :=
let ⟨p, hp⟩ := hn
ext_of_direction_eq hd ⟨p, hp, hle hp⟩
#align affine_subspace.eq_of_direction_eq_of_nonempty_of_le AffineSubspace.eq_of_direction_eq_of_nonempty_of_le
variable (k V)
/-- The affine span is the `sInf` of subspaces containing the given points. -/
theorem affineSpan_eq_sInf (s : Set P) :
affineSpan k s = sInf { s' : AffineSubspace k P | s ⊆ s' } :=
le_antisymm (spanPoints_subset_coe_of_subset_coe <| Set.subset_iInter₂ fun _ => id)
(sInf_le (subset_spanPoints k _))
#align affine_subspace.affine_span_eq_Inf AffineSubspace.affineSpan_eq_sInf
variable (P)
/-- The Galois insertion formed by `affineSpan` and coercion back to a set. -/
protected def gi : GaloisInsertion (affineSpan k) ((↑) : AffineSubspace k P → Set P) where
choice s _ := affineSpan k s
gc s1 _s2 :=
⟨fun h => Set.Subset.trans (subset_spanPoints k s1) h, spanPoints_subset_coe_of_subset_coe⟩
le_l_u _ := subset_spanPoints k _
choice_eq _ _ := rfl
#align affine_subspace.gi AffineSubspace.gi
/-- The span of the empty set is `⊥`. -/
@[simp]
theorem span_empty : affineSpan k (∅ : Set P) = ⊥ :=
(AffineSubspace.gi k V P).gc.l_bot
#align affine_subspace.span_empty AffineSubspace.span_empty
/-- The span of `univ` is `⊤`. -/
@[simp]
theorem span_univ : affineSpan k (Set.univ : Set P) = ⊤ :=
eq_top_iff.2 <| subset_spanPoints k _
#align affine_subspace.span_univ AffineSubspace.span_univ
variable {k V P}
theorem _root_.affineSpan_le {s : Set P} {Q : AffineSubspace k P} :
affineSpan k s ≤ Q ↔ s ⊆ (Q : Set P) :=
(AffineSubspace.gi k V P).gc _ _
#align affine_span_le affineSpan_le
variable (k V) {p₁ p₂ : P}
/-- The affine span of a single point, coerced to a set, contains just that point. -/
@[simp 1001] -- Porting note: this needs to take priority over `coe_affineSpan`
theorem coe_affineSpan_singleton (p : P) : (affineSpan k ({p} : Set P) : Set P) = {p} := by
ext x
rw [mem_coe, ← vsub_right_mem_direction_iff_mem (mem_affineSpan k (Set.mem_singleton p)) _,
direction_affineSpan]
simp
#align affine_subspace.coe_affine_span_singleton AffineSubspace.coe_affineSpan_singleton
/-- A point is in the affine span of a single point if and only if they are equal. -/
@[simp]
theorem mem_affineSpan_singleton : p₁ ∈ affineSpan k ({p₂} : Set P) ↔ p₁ = p₂ := by
simp [← mem_coe]
#align affine_subspace.mem_affine_span_singleton AffineSubspace.mem_affineSpan_singleton
@[simp]
theorem preimage_coe_affineSpan_singleton (x : P) :
((↑) : affineSpan k ({x} : Set P) → P) ⁻¹' {x} = univ :=
eq_univ_of_forall fun y => (AffineSubspace.mem_affineSpan_singleton _ _).1 y.2
#align affine_subspace.preimage_coe_affine_span_singleton AffineSubspace.preimage_coe_affineSpan_singleton
/-- The span of a union of sets is the sup of their spans. -/
theorem span_union (s t : Set P) : affineSpan k (s ∪ t) = affineSpan k s ⊔ affineSpan k t :=
(AffineSubspace.gi k V P).gc.l_sup
#align affine_subspace.span_union AffineSubspace.span_union
/-- The span of a union of an indexed family of sets is the sup of their spans. -/
theorem span_iUnion {ι : Type*} (s : ι → Set P) :
affineSpan k (⋃ i, s i) = ⨆ i, affineSpan k (s i) :=
(AffineSubspace.gi k V P).gc.l_iSup
#align affine_subspace.span_Union AffineSubspace.span_iUnion
variable (P)
/-- `⊤`, coerced to a set, is the whole set of points. -/
@[simp]
theorem top_coe : ((⊤ : AffineSubspace k P) : Set P) = Set.univ :=
rfl
#align affine_subspace.top_coe AffineSubspace.top_coe
variable {P}
/-- All points are in `⊤`. -/
@[simp]
theorem mem_top (p : P) : p ∈ (⊤ : AffineSubspace k P) :=
Set.mem_univ p
#align affine_subspace.mem_top AffineSubspace.mem_top
variable (P)
/-- The direction of `⊤` is the whole module as a submodule. -/
@[simp]
theorem direction_top : (⊤ : AffineSubspace k P).direction = ⊤ := by
cases' S.nonempty with p
ext v
refine ⟨imp_intro Submodule.mem_top, fun _hv => ?_⟩
have hpv : (v +ᵥ p -ᵥ p : V) ∈ (⊤ : AffineSubspace k P).direction :=
vsub_mem_direction (mem_top k V _) (mem_top k V _)
rwa [vadd_vsub] at hpv
#align affine_subspace.direction_top AffineSubspace.direction_top
/-- `⊥`, coerced to a set, is the empty set. -/
@[simp]
theorem bot_coe : ((⊥ : AffineSubspace k P) : Set P) = ∅ :=
rfl
#align affine_subspace.bot_coe AffineSubspace.bot_coe
theorem bot_ne_top : (⊥ : AffineSubspace k P) ≠ ⊤ := by
intro contra
rw [← ext_iff, bot_coe, top_coe] at contra
exact Set.empty_ne_univ contra
#align affine_subspace.bot_ne_top AffineSubspace.bot_ne_top
instance : Nontrivial (AffineSubspace k P) :=
⟨⟨⊥, ⊤, bot_ne_top k V P⟩⟩
theorem nonempty_of_affineSpan_eq_top {s : Set P} (h : affineSpan k s = ⊤) : s.Nonempty := by
rw [Set.nonempty_iff_ne_empty]
rintro rfl
rw [AffineSubspace.span_empty] at h
exact bot_ne_top k V P h
#align affine_subspace.nonempty_of_affine_span_eq_top AffineSubspace.nonempty_of_affineSpan_eq_top
/-- If the affine span of a set is `⊤`, then the vector span of the same set is the `⊤`. -/
theorem vectorSpan_eq_top_of_affineSpan_eq_top {s : Set P} (h : affineSpan k s = ⊤) :
vectorSpan k s = ⊤ := by rw [← direction_affineSpan, h, direction_top]
#align affine_subspace.vector_span_eq_top_of_affine_span_eq_top AffineSubspace.vectorSpan_eq_top_of_affineSpan_eq_top
/-- For a nonempty set, the affine span is `⊤` iff its vector span is `⊤`. -/
theorem affineSpan_eq_top_iff_vectorSpan_eq_top_of_nonempty {s : Set P} (hs : s.Nonempty) :
affineSpan k s = ⊤ ↔ vectorSpan k s = ⊤ := by
refine ⟨vectorSpan_eq_top_of_affineSpan_eq_top k V P, ?_⟩
intro h
suffices Nonempty (affineSpan k s) by
obtain ⟨p, hp : p ∈ affineSpan k s⟩ := this
rw [eq_iff_direction_eq_of_mem hp (mem_top k V p), direction_affineSpan, h, direction_top]
obtain ⟨x, hx⟩ := hs
exact ⟨⟨x, mem_affineSpan k hx⟩⟩
#align affine_subspace.affine_span_eq_top_iff_vector_span_eq_top_of_nonempty AffineSubspace.affineSpan_eq_top_iff_vectorSpan_eq_top_of_nonempty
/-- For a non-trivial space, the affine span of a set is `⊤` iff its vector span is `⊤`. -/
theorem affineSpan_eq_top_iff_vectorSpan_eq_top_of_nontrivial {s : Set P} [Nontrivial P] :
affineSpan k s = ⊤ ↔ vectorSpan k s = ⊤ := by
rcases s.eq_empty_or_nonempty with hs | hs
· simp [hs, subsingleton_iff_bot_eq_top, AddTorsor.subsingleton_iff V P, not_subsingleton]
· rw [affineSpan_eq_top_iff_vectorSpan_eq_top_of_nonempty k V P hs]
#align affine_subspace.affine_span_eq_top_iff_vector_span_eq_top_of_nontrivial AffineSubspace.affineSpan_eq_top_iff_vectorSpan_eq_top_of_nontrivial
theorem card_pos_of_affineSpan_eq_top {ι : Type*} [Fintype ι] {p : ι → P}
(h : affineSpan k (range p) = ⊤) : 0 < Fintype.card ι := by
obtain ⟨-, ⟨i, -⟩⟩ := nonempty_of_affineSpan_eq_top k V P h
exact Fintype.card_pos_iff.mpr ⟨i⟩
#align affine_subspace.card_pos_of_affine_span_eq_top AffineSubspace.card_pos_of_affineSpan_eq_top
attribute [local instance] toAddTorsor
/-- The top affine subspace is linearly equivalent to the affine space.
This is the affine version of `Submodule.topEquiv`. -/
@[simps! linear apply symm_apply_coe]
def topEquiv : (⊤ : AffineSubspace k P) ≃ᵃ[k] P where
toEquiv := Equiv.Set.univ P
linear := .ofEq _ _ (direction_top _ _ _) ≪≫ₗ Submodule.topEquiv
map_vadd' _p _v := rfl
variable {P}
/-- No points are in `⊥`. -/
theorem not_mem_bot (p : P) : p ∉ (⊥ : AffineSubspace k P) :=
Set.not_mem_empty p
#align affine_subspace.not_mem_bot AffineSubspace.not_mem_bot
variable (P)
/-- The direction of `⊥` is the submodule `⊥`. -/
@[simp]
theorem direction_bot : (⊥ : AffineSubspace k P).direction = ⊥ := by
rw [direction_eq_vectorSpan, bot_coe, vectorSpan_def, vsub_empty, Submodule.span_empty]
#align affine_subspace.direction_bot AffineSubspace.direction_bot
variable {k V P}
@[simp]
theorem coe_eq_bot_iff (Q : AffineSubspace k P) : (Q : Set P) = ∅ ↔ Q = ⊥ :=
coe_injective.eq_iff' (bot_coe _ _ _)
#align affine_subspace.coe_eq_bot_iff AffineSubspace.coe_eq_bot_iff
@[simp]
theorem coe_eq_univ_iff (Q : AffineSubspace k P) : (Q : Set P) = univ ↔ Q = ⊤ :=
coe_injective.eq_iff' (top_coe _ _ _)
#align affine_subspace.coe_eq_univ_iff AffineSubspace.coe_eq_univ_iff
theorem nonempty_iff_ne_bot (Q : AffineSubspace k P) : (Q : Set P).Nonempty ↔ Q ≠ ⊥ := by
rw [nonempty_iff_ne_empty]
exact not_congr Q.coe_eq_bot_iff
#align affine_subspace.nonempty_iff_ne_bot AffineSubspace.nonempty_iff_ne_bot
theorem eq_bot_or_nonempty (Q : AffineSubspace k P) : Q = ⊥ ∨ (Q : Set P).Nonempty := by
rw [nonempty_iff_ne_bot]
apply eq_or_ne
#align affine_subspace.eq_bot_or_nonempty AffineSubspace.eq_bot_or_nonempty
theorem subsingleton_of_subsingleton_span_eq_top {s : Set P} (h₁ : s.Subsingleton)
(h₂ : affineSpan k s = ⊤) : Subsingleton P := by
obtain ⟨p, hp⟩ := AffineSubspace.nonempty_of_affineSpan_eq_top k V P h₂
have : s = {p} := Subset.antisymm (fun q hq => h₁ hq hp) (by simp [hp])
rw [this, ← AffineSubspace.ext_iff, AffineSubspace.coe_affineSpan_singleton,
AffineSubspace.top_coe, eq_comm, ← subsingleton_iff_singleton (mem_univ _)] at h₂
exact subsingleton_of_univ_subsingleton h₂
#align affine_subspace.subsingleton_of_subsingleton_span_eq_top AffineSubspace.subsingleton_of_subsingleton_span_eq_top
theorem eq_univ_of_subsingleton_span_eq_top {s : Set P} (h₁ : s.Subsingleton)
(h₂ : affineSpan k s = ⊤) : s = (univ : Set P) := by
obtain ⟨p, hp⟩ := AffineSubspace.nonempty_of_affineSpan_eq_top k V P h₂
have : s = {p} := Subset.antisymm (fun q hq => h₁ hq hp) (by simp [hp])
rw [this, eq_comm, ← subsingleton_iff_singleton (mem_univ p), subsingleton_univ_iff]
exact subsingleton_of_subsingleton_span_eq_top h₁ h₂
#align affine_subspace.eq_univ_of_subsingleton_span_eq_top AffineSubspace.eq_univ_of_subsingleton_span_eq_top
/-- A nonempty affine subspace is `⊤` if and only if its direction is `⊤`. -/
@[simp]
theorem direction_eq_top_iff_of_nonempty {s : AffineSubspace k P} (h : (s : Set P).Nonempty) :
s.direction = ⊤ ↔ s = ⊤ := by
constructor
· intro hd
rw [← direction_top k V P] at hd
refine ext_of_direction_eq hd ?_
simp [h]
· rintro rfl
simp
#align affine_subspace.direction_eq_top_iff_of_nonempty AffineSubspace.direction_eq_top_iff_of_nonempty
/-- The inf of two affine subspaces, coerced to a set, is the intersection of the two sets of
points. -/
@[simp]
theorem inf_coe (s1 s2 : AffineSubspace k P) : (s1 ⊓ s2 : Set P) = (s1 : Set P) ∩ s2 :=
rfl
#align affine_subspace.inf_coe AffineSubspace.inf_coe
/-- A point is in the inf of two affine subspaces if and only if it is in both of them. -/
theorem mem_inf_iff (p : P) (s1 s2 : AffineSubspace k P) : p ∈ s1 ⊓ s2 ↔ p ∈ s1 ∧ p ∈ s2 :=
Iff.rfl
#align affine_subspace.mem_inf_iff AffineSubspace.mem_inf_iff
/-- The direction of the inf of two affine subspaces is less than or equal to the inf of their
directions. -/
theorem direction_inf (s1 s2 : AffineSubspace k P) :
(s1 ⊓ s2).direction ≤ s1.direction ⊓ s2.direction := by
simp only [direction_eq_vectorSpan, vectorSpan_def]
exact
le_inf (sInf_le_sInf fun p hp => trans (vsub_self_mono inter_subset_left) hp)
(sInf_le_sInf fun p hp => trans (vsub_self_mono inter_subset_right) hp)
#align affine_subspace.direction_inf AffineSubspace.direction_inf
/-- If two affine subspaces have a point in common, the direction of their inf equals the inf of
their directions. -/
theorem direction_inf_of_mem {s₁ s₂ : AffineSubspace k P} {p : P} (h₁ : p ∈ s₁) (h₂ : p ∈ s₂) :
(s₁ ⊓ s₂).direction = s₁.direction ⊓ s₂.direction := by
ext v
rw [Submodule.mem_inf, ← vadd_mem_iff_mem_direction v h₁, ← vadd_mem_iff_mem_direction v h₂, ←
vadd_mem_iff_mem_direction v ((mem_inf_iff p s₁ s₂).2 ⟨h₁, h₂⟩), mem_inf_iff]
#align affine_subspace.direction_inf_of_mem AffineSubspace.direction_inf_of_mem
/-- If two affine subspaces have a point in their inf, the direction of their inf equals the inf of
their directions. -/
theorem direction_inf_of_mem_inf {s₁ s₂ : AffineSubspace k P} {p : P} (h : p ∈ s₁ ⊓ s₂) :
(s₁ ⊓ s₂).direction = s₁.direction ⊓ s₂.direction :=
direction_inf_of_mem ((mem_inf_iff p s₁ s₂).1 h).1 ((mem_inf_iff p s₁ s₂).1 h).2
#align affine_subspace.direction_inf_of_mem_inf AffineSubspace.direction_inf_of_mem_inf
/-- If one affine subspace is less than or equal to another, the same applies to their
directions. -/
theorem direction_le {s1 s2 : AffineSubspace k P} (h : s1 ≤ s2) : s1.direction ≤ s2.direction := by
simp only [direction_eq_vectorSpan, vectorSpan_def]
exact vectorSpan_mono k h
#align affine_subspace.direction_le AffineSubspace.direction_le
/-- If one nonempty affine subspace is less than another, the same applies to their directions -/
theorem direction_lt_of_nonempty {s1 s2 : AffineSubspace k P} (h : s1 < s2)
(hn : (s1 : Set P).Nonempty) : s1.direction < s2.direction := by
cases' hn with p hp
rw [lt_iff_le_and_exists] at h
rcases h with ⟨hle, p2, hp2, hp2s1⟩
rw [SetLike.lt_iff_le_and_exists]
use direction_le hle, p2 -ᵥ p, vsub_mem_direction hp2 (hle hp)
intro hm
rw [vsub_right_mem_direction_iff_mem hp p2] at hm
exact hp2s1 hm
#align affine_subspace.direction_lt_of_nonempty AffineSubspace.direction_lt_of_nonempty
/-- The sup of the directions of two affine subspaces is less than or equal to the direction of
their sup. -/
theorem sup_direction_le (s1 s2 : AffineSubspace k P) :
s1.direction ⊔ s2.direction ≤ (s1 ⊔ s2).direction := by
simp only [direction_eq_vectorSpan, vectorSpan_def]
exact
sup_le
(sInf_le_sInf fun p hp => Set.Subset.trans (vsub_self_mono (le_sup_left : s1 ≤ s1 ⊔ s2)) hp)
(sInf_le_sInf fun p hp => Set.Subset.trans (vsub_self_mono (le_sup_right : s2 ≤ s1 ⊔ s2)) hp)
#align affine_subspace.sup_direction_le AffineSubspace.sup_direction_le
/-- The sup of the directions of two nonempty affine subspaces with empty intersection is less than
the direction of their sup. -/
theorem sup_direction_lt_of_nonempty_of_inter_empty {s1 s2 : AffineSubspace k P}
(h1 : (s1 : Set P).Nonempty) (h2 : (s2 : Set P).Nonempty) (he : (s1 ∩ s2 : Set P) = ∅) :
s1.direction ⊔ s2.direction < (s1 ⊔ s2).direction := by
cases' h1 with p1 hp1
cases' h2 with p2 hp2
rw [SetLike.lt_iff_le_and_exists]
use sup_direction_le s1 s2, p2 -ᵥ p1,
vsub_mem_direction ((le_sup_right : s2 ≤ s1 ⊔ s2) hp2) ((le_sup_left : s1 ≤ s1 ⊔ s2) hp1)
intro h
rw [Submodule.mem_sup] at h
rcases h with ⟨v1, hv1, v2, hv2, hv1v2⟩
rw [← sub_eq_zero, sub_eq_add_neg, neg_vsub_eq_vsub_rev, add_comm v1, add_assoc, ←
vadd_vsub_assoc, ← neg_neg v2, add_comm, ← sub_eq_add_neg, ← vsub_vadd_eq_vsub_sub,
vsub_eq_zero_iff_eq] at hv1v2
refine Set.Nonempty.ne_empty ?_ he
use v1 +ᵥ p1, vadd_mem_of_mem_direction hv1 hp1
rw [hv1v2]
exact vadd_mem_of_mem_direction (Submodule.neg_mem _ hv2) hp2
#align affine_subspace.sup_direction_lt_of_nonempty_of_inter_empty AffineSubspace.sup_direction_lt_of_nonempty_of_inter_empty
/-- If the directions of two nonempty affine subspaces span the whole module, they have nonempty
intersection. -/
theorem inter_nonempty_of_nonempty_of_sup_direction_eq_top {s1 s2 : AffineSubspace k P}
(h1 : (s1 : Set P).Nonempty) (h2 : (s2 : Set P).Nonempty)
(hd : s1.direction ⊔ s2.direction = ⊤) : ((s1 : Set P) ∩ s2).Nonempty := by
by_contra h
rw [Set.not_nonempty_iff_eq_empty] at h
have hlt := sup_direction_lt_of_nonempty_of_inter_empty h1 h2 h
rw [hd] at hlt
exact not_top_lt hlt
#align affine_subspace.inter_nonempty_of_nonempty_of_sup_direction_eq_top AffineSubspace.inter_nonempty_of_nonempty_of_sup_direction_eq_top
/-- If the directions of two nonempty affine subspaces are complements of each other, they intersect
in exactly one point. -/
theorem inter_eq_singleton_of_nonempty_of_isCompl {s1 s2 : AffineSubspace k P}
(h1 : (s1 : Set P).Nonempty) (h2 : (s2 : Set P).Nonempty)
(hd : IsCompl s1.direction s2.direction) : ∃ p, (s1 : Set P) ∩ s2 = {p} := by
cases' inter_nonempty_of_nonempty_of_sup_direction_eq_top h1 h2 hd.sup_eq_top with p hp
use p
ext q
rw [Set.mem_singleton_iff]
constructor
· rintro ⟨hq1, hq2⟩
have hqp : q -ᵥ p ∈ s1.direction ⊓ s2.direction :=
⟨vsub_mem_direction hq1 hp.1, vsub_mem_direction hq2 hp.2⟩
rwa [hd.inf_eq_bot, Submodule.mem_bot, vsub_eq_zero_iff_eq] at hqp
· exact fun h => h.symm ▸ hp
#align affine_subspace.inter_eq_singleton_of_nonempty_of_is_compl AffineSubspace.inter_eq_singleton_of_nonempty_of_isCompl
/-- Coercing a subspace to a set then taking the affine span produces the original subspace. -/
@[simp]
theorem affineSpan_coe (s : AffineSubspace k P) : affineSpan k (s : Set P) = s := by
refine le_antisymm ?_ (subset_spanPoints _ _)
rintro p ⟨p1, hp1, v, hv, rfl⟩
exact vadd_mem_of_mem_direction hv hp1
#align affine_subspace.affine_span_coe AffineSubspace.affineSpan_coe
end AffineSubspace
section AffineSpace'
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
[AffineSpace V P]
variable {ι : Type*}
open AffineSubspace Set
/-- The `vectorSpan` is the span of the pairwise subtractions with a given point on the left. -/
theorem vectorSpan_eq_span_vsub_set_left {s : Set P} {p : P} (hp : p ∈ s) :
vectorSpan k s = Submodule.span k ((p -ᵥ ·) '' s) := by
rw [vectorSpan_def]
refine le_antisymm ?_ (Submodule.span_mono ?_)
· rw [Submodule.span_le]
rintro v ⟨p1, hp1, p2, hp2, hv⟩
simp_rw [← vsub_sub_vsub_cancel_left p1 p2 p] at hv
rw [← hv, SetLike.mem_coe, Submodule.mem_span]
exact fun m hm => Submodule.sub_mem _ (hm ⟨p2, hp2, rfl⟩) (hm ⟨p1, hp1, rfl⟩)
· rintro v ⟨p2, hp2, hv⟩
exact ⟨p, hp, p2, hp2, hv⟩
#align vector_span_eq_span_vsub_set_left vectorSpan_eq_span_vsub_set_left
/-- The `vectorSpan` is the span of the pairwise subtractions with a given point on the right. -/
theorem vectorSpan_eq_span_vsub_set_right {s : Set P} {p : P} (hp : p ∈ s) :
vectorSpan k s = Submodule.span k ((· -ᵥ p) '' s) := by
rw [vectorSpan_def]
refine le_antisymm ?_ (Submodule.span_mono ?_)
· rw [Submodule.span_le]
rintro v ⟨p1, hp1, p2, hp2, hv⟩
simp_rw [← vsub_sub_vsub_cancel_right p1 p2 p] at hv
rw [← hv, SetLike.mem_coe, Submodule.mem_span]
exact fun m hm => Submodule.sub_mem _ (hm ⟨p1, hp1, rfl⟩) (hm ⟨p2, hp2, rfl⟩)
· rintro v ⟨p2, hp2, hv⟩
exact ⟨p2, hp2, p, hp, hv⟩
#align vector_span_eq_span_vsub_set_right vectorSpan_eq_span_vsub_set_right
/-- The `vectorSpan` is the span of the pairwise subtractions with a given point on the left,
excluding the subtraction of that point from itself. -/
theorem vectorSpan_eq_span_vsub_set_left_ne {s : Set P} {p : P} (hp : p ∈ s) :
vectorSpan k s = Submodule.span k ((p -ᵥ ·) '' (s \ {p})) := by
conv_lhs =>
rw [vectorSpan_eq_span_vsub_set_left k hp, ← Set.insert_eq_of_mem hp, ←
Set.insert_diff_singleton, Set.image_insert_eq]
simp [Submodule.span_insert_eq_span]
#align vector_span_eq_span_vsub_set_left_ne vectorSpan_eq_span_vsub_set_left_ne
/-- The `vectorSpan` is the span of the pairwise subtractions with a given point on the right,
excluding the subtraction of that point from itself. -/
theorem vectorSpan_eq_span_vsub_set_right_ne {s : Set P} {p : P} (hp : p ∈ s) :
vectorSpan k s = Submodule.span k ((· -ᵥ p) '' (s \ {p})) := by
conv_lhs =>
rw [vectorSpan_eq_span_vsub_set_right k hp, ← Set.insert_eq_of_mem hp, ←
Set.insert_diff_singleton, Set.image_insert_eq]
simp [Submodule.span_insert_eq_span]
#align vector_span_eq_span_vsub_set_right_ne vectorSpan_eq_span_vsub_set_right_ne
/-- The `vectorSpan` is the span of the pairwise subtractions with a given point on the right,
excluding the subtraction of that point from itself. -/
theorem vectorSpan_eq_span_vsub_finset_right_ne [DecidableEq P] [DecidableEq V] {s : Finset P}
{p : P} (hp : p ∈ s) :
vectorSpan k (s : Set P) = Submodule.span k ((s.erase p).image (· -ᵥ p)) := by
simp [vectorSpan_eq_span_vsub_set_right_ne _ (Finset.mem_coe.mpr hp)]
#align vector_span_eq_span_vsub_finset_right_ne vectorSpan_eq_span_vsub_finset_right_ne
/-- The `vectorSpan` of the image of a function is the span of the pairwise subtractions with a
given point on the left, excluding the subtraction of that point from itself. -/
| Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean | 1,096 | 1,101 | theorem vectorSpan_image_eq_span_vsub_set_left_ne (p : ι → P) {s : Set ι} {i : ι} (hi : i ∈ s) :
vectorSpan k (p '' s) = Submodule.span k ((p i -ᵥ ·) '' (p '' (s \ {i}))) := by |
conv_lhs =>
rw [vectorSpan_eq_span_vsub_set_left k (Set.mem_image_of_mem p hi), ← Set.insert_eq_of_mem hi, ←
Set.insert_diff_singleton, Set.image_insert_eq, Set.image_insert_eq]
simp [Submodule.span_insert_eq_span]
|
/-
Copyright (c) 2021 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.Data.ULift
import Mathlib.Data.ZMod.Defs
import Mathlib.SetTheory.Cardinal.PartENat
#align_import set_theory.cardinal.finite from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8"
/-!
# Finite Cardinality Functions
## Main Definitions
* `Nat.card α` is the cardinality of `α` as a natural number.
If `α` is infinite, `Nat.card α = 0`.
* `PartENat.card α` is the cardinality of `α` as an extended natural number
(using `Part ℕ`). If `α` is infinite, `PartENat.card α = ⊤`.
-/
set_option autoImplicit true
open Cardinal Function
noncomputable section
variable {α β : Type*}
namespace Nat
/-- `Nat.card α` is the cardinality of `α` as a natural number.
If `α` is infinite, `Nat.card α = 0`. -/
protected def card (α : Type*) : ℕ :=
toNat (mk α)
#align nat.card Nat.card
@[simp]
theorem card_eq_fintype_card [Fintype α] : Nat.card α = Fintype.card α :=
mk_toNat_eq_card
#align nat.card_eq_fintype_card Nat.card_eq_fintype_card
/-- Because this theorem takes `Fintype α` as a non-instance argument, it can be used in particular
when `Fintype.card` ends up with different instance than the one found by inference -/
theorem _root_.Fintype.card_eq_nat_card {_ : Fintype α} : Fintype.card α = Nat.card α :=
mk_toNat_eq_card.symm
lemma card_eq_finsetCard (s : Finset α) : Nat.card s = s.card := by
simp only [Nat.card_eq_fintype_card, Fintype.card_coe]
lemma card_eq_card_toFinset (s : Set α) [Fintype s] : Nat.card s = s.toFinset.card := by
simp only [← Nat.card_eq_finsetCard, s.mem_toFinset]
lemma card_eq_card_finite_toFinset {s : Set α} (hs : s.Finite) : Nat.card s = hs.toFinset.card := by
simp only [← Nat.card_eq_finsetCard, hs.mem_toFinset]
@[simp] theorem card_of_isEmpty [IsEmpty α] : Nat.card α = 0 := by simp [Nat.card]
#align nat.card_of_is_empty Nat.card_of_isEmpty
@[simp] lemma card_eq_zero_of_infinite [Infinite α] : Nat.card α = 0 := mk_toNat_of_infinite
#align nat.card_eq_zero_of_infinite Nat.card_eq_zero_of_infinite
lemma _root_.Set.Infinite.card_eq_zero {s : Set α} (hs : s.Infinite) : Nat.card s = 0 :=
@card_eq_zero_of_infinite _ hs.to_subtype
lemma card_eq_zero : Nat.card α = 0 ↔ IsEmpty α ∨ Infinite α := by
simp [Nat.card, mk_eq_zero_iff, aleph0_le_mk_iff]
lemma card_ne_zero : Nat.card α ≠ 0 ↔ Nonempty α ∧ Finite α := by simp [card_eq_zero, not_or]
lemma card_pos_iff : 0 < Nat.card α ↔ Nonempty α ∧ Finite α := by
simp [Nat.card, mk_eq_zero_iff, mk_lt_aleph0_iff]
@[simp] lemma card_pos [Nonempty α] [Finite α] : 0 < Nat.card α := card_pos_iff.2 ⟨‹_›, ‹_›⟩
theorem finite_of_card_ne_zero (h : Nat.card α ≠ 0) : Finite α := (card_ne_zero.1 h).2
#align nat.finite_of_card_ne_zero Nat.finite_of_card_ne_zero
theorem card_congr (f : α ≃ β) : Nat.card α = Nat.card β :=
Cardinal.toNat_congr f
#align nat.card_congr Nat.card_congr
lemma card_le_card_of_injective {α : Type u} {β : Type v} [Finite β] (f : α → β)
(hf : Injective f) : Nat.card α ≤ Nat.card β := by
simpa using toNat_le_toNat (lift_mk_le_lift_mk_of_injective hf) (by simp [lt_aleph0_of_finite])
lemma card_le_card_of_surjective {α : Type u} {β : Type v} [Finite α] (f : α → β)
(hf : Surjective f) : Nat.card β ≤ Nat.card α := by
have : lift.{u} #β ≤ lift.{v} #α := mk_le_of_surjective (ULift.map_surjective.2 hf)
simpa using toNat_le_toNat this (by simp [lt_aleph0_of_finite])
theorem card_eq_of_bijective (f : α → β) (hf : Function.Bijective f) : Nat.card α = Nat.card β :=
card_congr (Equiv.ofBijective f hf)
#align nat.card_eq_of_bijective Nat.card_eq_of_bijective
theorem card_eq_of_equiv_fin {α : Type*} {n : ℕ} (f : α ≃ Fin n) : Nat.card α = n := by
simpa only [card_eq_fintype_card, Fintype.card_fin] using card_congr f
#align nat.card_eq_of_equiv_fin Nat.card_eq_of_equiv_fin
section Set
open Set
variable {s t : Set α}
lemma card_mono (ht : t.Finite) (h : s ⊆ t) : Nat.card s ≤ Nat.card t :=
toNat_le_toNat (mk_le_mk_of_subset h) ht.lt_aleph0
lemma card_image_le (hs : s.Finite) : Nat.card (f '' s) ≤ Nat.card s :=
have := hs.to_subtype; card_le_card_of_surjective (imageFactorization f s) surjective_onto_image
lemma card_image_of_injOn (hf : s.InjOn f) : Nat.card (f '' s) = Nat.card s := by
classical
obtain hs | hs := s.finite_or_infinite
· have := hs.fintype
have := fintypeImage s f
simp_rw [Nat.card_eq_fintype_card, Set.card_image_of_inj_on hf]
· have := hs.to_subtype
have := (hs.image hf).to_subtype
simp [Nat.card_eq_zero_of_infinite]
lemma card_image_of_injective (hf : Injective f) (s : Set α) :
Nat.card (f '' s) = Nat.card s := card_image_of_injOn hf.injOn
lemma card_image_equiv (e : α ≃ β) : Nat.card (e '' s) = Nat.card s :=
Nat.card_congr (e.image s).symm
lemma card_preimage_of_injOn {s : Set β} (hf : (f ⁻¹' s).InjOn f) (hsf : s ⊆ range f) :
Nat.card (f ⁻¹' s) = Nat.card s := by
rw [← Nat.card_image_of_injOn hf, image_preimage_eq_iff.2 hsf]
lemma card_preimage_of_injective {s : Set β} (hf : Injective f) (hsf : s ⊆ range f) :
Nat.card (f ⁻¹' s) = Nat.card s := card_preimage_of_injOn hf.injOn hsf
end Set
/-- If the cardinality is positive, that means it is a finite type, so there is
an equivalence between `α` and `Fin (Nat.card α)`. See also `Finite.equivFin`. -/
def equivFinOfCardPos {α : Type*} (h : Nat.card α ≠ 0) : α ≃ Fin (Nat.card α) := by
cases fintypeOrInfinite α
· simpa only [card_eq_fintype_card] using Fintype.equivFin α
· simp only [card_eq_zero_of_infinite, ne_eq, not_true_eq_false] at h
#align nat.equiv_fin_of_card_pos Nat.equivFinOfCardPos
theorem card_of_subsingleton (a : α) [Subsingleton α] : Nat.card α = 1 := by
letI := Fintype.ofSubsingleton a
rw [card_eq_fintype_card, Fintype.card_ofSubsingleton a]
#align nat.card_of_subsingleton Nat.card_of_subsingleton
-- @[simp] -- Porting note (#10618): simp can prove this
theorem card_unique [Unique α] : Nat.card α = 1 :=
card_of_subsingleton default
#align nat.card_unique Nat.card_unique
theorem card_eq_one_iff_unique : Nat.card α = 1 ↔ Subsingleton α ∧ Nonempty α :=
Cardinal.toNat_eq_one_iff_unique
#align nat.card_eq_one_iff_unique Nat.card_eq_one_iff_unique
theorem card_eq_two_iff : Nat.card α = 2 ↔ ∃ x y : α, x ≠ y ∧ {x, y} = @Set.univ α :=
toNat_eq_ofNat.trans mk_eq_two_iff
#align nat.card_eq_two_iff Nat.card_eq_two_iff
theorem card_eq_two_iff' (x : α) : Nat.card α = 2 ↔ ∃! y, y ≠ x :=
toNat_eq_ofNat.trans (mk_eq_two_iff' x)
#align nat.card_eq_two_iff' Nat.card_eq_two_iff'
@[simp]
theorem card_sum [Finite α] [Finite β] : Nat.card (α ⊕ β) = Nat.card α + Nat.card β := by
have := Fintype.ofFinite α
have := Fintype.ofFinite β
simp_rw [Nat.card_eq_fintype_card, Fintype.card_sum]
@[simp]
theorem card_prod (α β : Type*) : Nat.card (α × β) = Nat.card α * Nat.card β := by
simp only [Nat.card, mk_prod, toNat_mul, toNat_lift]
#align nat.card_prod Nat.card_prod
@[simp]
theorem card_ulift (α : Type*) : Nat.card (ULift α) = Nat.card α :=
card_congr Equiv.ulift
#align nat.card_ulift Nat.card_ulift
@[simp]
theorem card_plift (α : Type*) : Nat.card (PLift α) = Nat.card α :=
card_congr Equiv.plift
#align nat.card_plift Nat.card_plift
theorem card_pi {β : α → Type*} [Fintype α] : Nat.card (∀ a, β a) = ∏ a, Nat.card (β a) := by
simp_rw [Nat.card, mk_pi, prod_eq_of_fintype, toNat_lift, map_prod]
#align nat.card_pi Nat.card_pi
theorem card_fun [Finite α] : Nat.card (α → β) = Nat.card β ^ Nat.card α := by
haveI := Fintype.ofFinite α
rw [Nat.card_pi, Finset.prod_const, Finset.card_univ, ← Nat.card_eq_fintype_card]
#align nat.card_fun Nat.card_fun
@[simp]
theorem card_zmod (n : ℕ) : Nat.card (ZMod n) = n := by
cases n
· exact @Nat.card_eq_zero_of_infinite _ Int.infinite
· rw [Nat.card_eq_fintype_card, ZMod.card]
#align nat.card_zmod Nat.card_zmod
end Nat
namespace Set
lemma card_singleton_prod (a : α) (t : Set β) : Nat.card ({a} ×ˢ t) = Nat.card t := by
rw [singleton_prod, Nat.card_image_of_injective (Prod.mk.inj_left a)]
lemma card_prod_singleton (s : Set α) (b : β) : Nat.card (s ×ˢ {b}) = Nat.card s := by
rw [prod_singleton, Nat.card_image_of_injective (Prod.mk.inj_right b)]
end Set
namespace PartENat
/-- `PartENat.card α` is the cardinality of `α` as an extended natural number.
If `α` is infinite, `PartENat.card α = ⊤`. -/
def card (α : Type*) : PartENat :=
toPartENat (mk α)
#align part_enat.card PartENat.card
@[simp]
theorem card_eq_coe_fintype_card [Fintype α] : card α = Fintype.card α :=
mk_toPartENat_eq_coe_card
#align part_enat.card_eq_coe_fintype_card PartENat.card_eq_coe_fintype_card
@[simp]
theorem card_eq_top_of_infinite [Infinite α] : card α = ⊤ :=
mk_toPartENat_of_infinite
#align part_enat.card_eq_top_of_infinite PartENat.card_eq_top_of_infinite
@[simp]
theorem card_sum (α β : Type*) :
PartENat.card (α ⊕ β) = PartENat.card α + PartENat.card β := by
simp only [PartENat.card, Cardinal.mk_sum, map_add, Cardinal.toPartENat_lift]
theorem card_congr {α : Type*} {β : Type*} (f : α ≃ β) : PartENat.card α = PartENat.card β :=
Cardinal.toPartENat_congr f
#align part_enat.card_congr PartENat.card_congr
@[simp] lemma card_ulift (α : Type*) : card (ULift α) = card α := card_congr Equiv.ulift
#align part_enat.card_ulift PartENat.card_ulift
@[simp] lemma card_plift (α : Type*) : card (PLift α) = card α := card_congr Equiv.plift
#align part_enat.card_plift PartENat.card_plift
theorem card_image_of_injOn {α : Type u} {β : Type v} {f : α → β} {s : Set α} (h : Set.InjOn f s) :
card (f '' s) = card s :=
card_congr (Equiv.Set.imageOfInjOn f s h).symm
#align part_enat.card_image_of_inj_on PartENat.card_image_of_injOn
theorem card_image_of_injective {α : Type u} {β : Type v} (f : α → β) (s : Set α)
(h : Function.Injective f) : card (f '' s) = card s := card_image_of_injOn h.injOn
#align part_enat.card_image_of_injective PartENat.card_image_of_injective
-- Should I keep the 6 following lemmas ?
-- TODO: Add ofNat, zero, and one versions for simp confluence
@[simp]
theorem _root_.Cardinal.natCast_le_toPartENat_iff {n : ℕ} {c : Cardinal} :
↑n ≤ toPartENat c ↔ ↑n ≤ c := by
rw [← toPartENat_natCast n, toPartENat_le_iff_of_le_aleph0 (le_of_lt (nat_lt_aleph0 n))]
#align cardinal.coe_nat_le_to_part_enat_iff Cardinal.natCast_le_toPartENat_iff
@[simp]
theorem _root_.Cardinal.toPartENat_le_natCast_iff {c : Cardinal} {n : ℕ} :
toPartENat c ≤ n ↔ c ≤ n := by
rw [← toPartENat_natCast n, toPartENat_le_iff_of_lt_aleph0 (nat_lt_aleph0 n)]
#align cardinal.to_part_enat_le_coe_nat_iff Cardinal.toPartENat_le_natCast_iff
@[simp]
theorem _root_.Cardinal.natCast_eq_toPartENat_iff {n : ℕ} {c : Cardinal} :
↑n = toPartENat c ↔ ↑n = c := by
rw [le_antisymm_iff, le_antisymm_iff, Cardinal.toPartENat_le_natCast_iff,
Cardinal.natCast_le_toPartENat_iff]
#align cardinal.coe_nat_eq_to_part_enat_iff Cardinal.natCast_eq_toPartENat_iff
@[simp]
theorem _root_.Cardinal.toPartENat_eq_natCast_iff {c : Cardinal} {n : ℕ} :
Cardinal.toPartENat c = n ↔ c = n := by
rw [eq_comm, Cardinal.natCast_eq_toPartENat_iff, eq_comm]
#align cardinal.to_part_nat_eq_coe_nat_iff_eq Cardinal.toPartENat_eq_natCast_iff
@[simp]
| Mathlib/SetTheory/Cardinal/Finite.lean | 285 | 287 | theorem _root_.Cardinal.natCast_lt_toPartENat_iff {n : ℕ} {c : Cardinal} :
↑n < toPartENat c ↔ ↑n < c := by |
simp only [← not_le, Cardinal.toPartENat_le_natCast_iff]
|
/-
Copyright (c) 2021 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Scott Morrison
-/
import Mathlib.Algebra.Homology.ComplexShape
import Mathlib.CategoryTheory.Subobject.Limits
import Mathlib.CategoryTheory.GradedObject
import Mathlib.Algebra.Homology.ShortComplex.Basic
#align_import algebra.homology.homological_complex from "leanprover-community/mathlib"@"88bca0ce5d22ebfd9e73e682e51d60ea13b48347"
/-!
# Homological complexes.
A `HomologicalComplex V c` with a "shape" controlled by `c : ComplexShape ι`
has chain groups `X i` (objects in `V`) indexed by `i : ι`,
and a differential `d i j` whenever `c.Rel i j`.
We in fact ask for differentials `d i j` for all `i j : ι`,
but have a field `shape` requiring that these are zero when not allowed by `c`.
This avoids a lot of dependent type theory hell!
The composite of any two differentials `d i j ≫ d j k` must be zero.
We provide `ChainComplex V α` for
`α`-indexed chain complexes in which `d i j ≠ 0` only if `j + 1 = i`,
and similarly `CochainComplex V α`, with `i = j + 1`.
There is a category structure, where morphisms are chain maps.
For `C : HomologicalComplex V c`, we define `C.xNext i`, which is either `C.X j` for some
arbitrarily chosen `j` such that `c.r i j`, or `C.X i` if there is no such `j`.
Similarly we have `C.xPrev j`.
Defined in terms of these we have `C.dFrom i : C.X i ⟶ C.xNext i` and
`C.dTo j : C.xPrev j ⟶ C.X j`, which are either defined as `C.d i j`, or zero, as needed.
-/
universe v u
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits
variable {ι : Type*}
variable (V : Type u) [Category.{v} V] [HasZeroMorphisms V]
/-- A `HomologicalComplex V c` with a "shape" controlled by `c : ComplexShape ι`
has chain groups `X i` (objects in `V`) indexed by `i : ι`,
and a differential `d i j` whenever `c.Rel i j`.
We in fact ask for differentials `d i j` for all `i j : ι`,
but have a field `shape` requiring that these are zero when not allowed by `c`.
This avoids a lot of dependent type theory hell!
The composite of any two differentials `d i j ≫ d j k` must be zero.
-/
structure HomologicalComplex (c : ComplexShape ι) where
X : ι → V
d : ∀ i j, X i ⟶ X j
shape : ∀ i j, ¬c.Rel i j → d i j = 0 := by aesop_cat
d_comp_d' : ∀ i j k, c.Rel i j → c.Rel j k → d i j ≫ d j k = 0 := by aesop_cat
#align homological_complex HomologicalComplex
namespace HomologicalComplex
attribute [simp] shape
variable {V} {c : ComplexShape ι}
@[reassoc (attr := simp)]
theorem d_comp_d (C : HomologicalComplex V c) (i j k : ι) : C.d i j ≫ C.d j k = 0 := by
by_cases hij : c.Rel i j
· by_cases hjk : c.Rel j k
· exact C.d_comp_d' i j k hij hjk
· rw [C.shape j k hjk, comp_zero]
· rw [C.shape i j hij, zero_comp]
#align homological_complex.d_comp_d HomologicalComplex.d_comp_d
theorem ext {C₁ C₂ : HomologicalComplex V c} (h_X : C₁.X = C₂.X)
(h_d :
∀ i j : ι,
c.Rel i j → C₁.d i j ≫ eqToHom (congr_fun h_X j) = eqToHom (congr_fun h_X i) ≫ C₂.d i j) :
C₁ = C₂ := by
obtain ⟨X₁, d₁, s₁, h₁⟩ := C₁
obtain ⟨X₂, d₂, s₂, h₂⟩ := C₂
dsimp at h_X
subst h_X
simp only [mk.injEq, heq_eq_eq, true_and]
ext i j
by_cases hij: c.Rel i j
· simpa only [comp_id, id_comp, eqToHom_refl] using h_d i j hij
· rw [s₁ i j hij, s₂ i j hij]
#align homological_complex.ext HomologicalComplex.ext
/-- The obvious isomorphism `K.X p ≅ K.X q` when `p = q`. -/
def XIsoOfEq (K : HomologicalComplex V c) {p q : ι} (h : p = q) : K.X p ≅ K.X q :=
eqToIso (by rw [h])
@[simp]
lemma XIsoOfEq_rfl (K : HomologicalComplex V c) (p : ι) :
K.XIsoOfEq (rfl : p = p) = Iso.refl _ := rfl
@[reassoc (attr := simp)]
lemma XIsoOfEq_hom_comp_XIsoOfEq_hom (K : HomologicalComplex V c) {p₁ p₂ p₃ : ι}
(h₁₂ : p₁ = p₂) (h₂₃ : p₂ = p₃) :
(K.XIsoOfEq h₁₂).hom ≫ (K.XIsoOfEq h₂₃).hom = (K.XIsoOfEq (h₁₂.trans h₂₃)).hom := by
dsimp [XIsoOfEq]
simp only [eqToHom_trans]
@[reassoc (attr := simp)]
lemma XIsoOfEq_hom_comp_XIsoOfEq_inv (K : HomologicalComplex V c) {p₁ p₂ p₃ : ι}
(h₁₂ : p₁ = p₂) (h₃₂ : p₃ = p₂) :
(K.XIsoOfEq h₁₂).hom ≫ (K.XIsoOfEq h₃₂).inv = (K.XIsoOfEq (h₁₂.trans h₃₂.symm)).hom := by
dsimp [XIsoOfEq]
simp only [eqToHom_trans]
@[reassoc (attr := simp)]
lemma XIsoOfEq_inv_comp_XIsoOfEq_hom (K : HomologicalComplex V c) {p₁ p₂ p₃ : ι}
(h₂₁ : p₂ = p₁) (h₂₃ : p₂ = p₃) :
(K.XIsoOfEq h₂₁).inv ≫ (K.XIsoOfEq h₂₃).hom = (K.XIsoOfEq (h₂₁.symm.trans h₂₃)).hom := by
dsimp [XIsoOfEq]
simp only [eqToHom_trans]
@[reassoc (attr := simp)]
lemma XIsoOfEq_inv_comp_XIsoOfEq_inv (K : HomologicalComplex V c) {p₁ p₂ p₃ : ι}
(h₂₁ : p₂ = p₁) (h₃₂ : p₃ = p₂) :
(K.XIsoOfEq h₂₁).inv ≫ (K.XIsoOfEq h₃₂).inv = (K.XIsoOfEq (h₃₂.trans h₂₁).symm).hom := by
dsimp [XIsoOfEq]
simp only [eqToHom_trans]
@[reassoc (attr := simp)]
lemma XIsoOfEq_hom_comp_d (K : HomologicalComplex V c) {p₁ p₂ : ι} (h : p₁ = p₂) (p₃ : ι) :
(K.XIsoOfEq h).hom ≫ K.d p₂ p₃ = K.d p₁ p₃ := by subst h; simp
@[reassoc (attr := simp)]
lemma XIsoOfEq_inv_comp_d (K : HomologicalComplex V c) {p₂ p₁ : ι} (h : p₂ = p₁) (p₃ : ι) :
(K.XIsoOfEq h).inv ≫ K.d p₂ p₃ = K.d p₁ p₃ := by subst h; simp
@[reassoc (attr := simp)]
lemma d_comp_XIsoOfEq_hom (K : HomologicalComplex V c) {p₂ p₃ : ι} (h : p₂ = p₃) (p₁ : ι) :
K.d p₁ p₂ ≫ (K.XIsoOfEq h).hom = K.d p₁ p₃ := by subst h; simp
@[reassoc (attr := simp)]
lemma d_comp_XIsoOfEq_inv (K : HomologicalComplex V c) {p₂ p₃ : ι} (h : p₃ = p₂) (p₁ : ι) :
K.d p₁ p₂ ≫ (K.XIsoOfEq h).inv = K.d p₁ p₃ := by subst h; simp
end HomologicalComplex
/-- An `α`-indexed chain complex is a `HomologicalComplex`
in which `d i j ≠ 0` only if `j + 1 = i`.
-/
abbrev ChainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ :=
HomologicalComplex V (ComplexShape.down α)
#align chain_complex ChainComplex
/-- An `α`-indexed cochain complex is a `HomologicalComplex`
in which `d i j ≠ 0` only if `i + 1 = j`.
-/
abbrev CochainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ :=
HomologicalComplex V (ComplexShape.up α)
#align cochain_complex CochainComplex
namespace ChainComplex
@[simp]
theorem prev (α : Type*) [AddRightCancelSemigroup α] [One α] (i : α) :
(ComplexShape.down α).prev i = i + 1 :=
(ComplexShape.down α).prev_eq' rfl
#align chain_complex.prev ChainComplex.prev
@[simp]
theorem next (α : Type*) [AddGroup α] [One α] (i : α) : (ComplexShape.down α).next i = i - 1 :=
(ComplexShape.down α).next_eq' <| sub_add_cancel _ _
#align chain_complex.next ChainComplex.next
@[simp]
| Mathlib/Algebra/Homology/HomologicalComplex.lean | 177 | 182 | theorem next_nat_zero : (ComplexShape.down ℕ).next 0 = 0 := by |
classical
refine dif_neg ?_
push_neg
intro
apply Nat.noConfusion
|
/-
Copyright (c) 2023 Dagur Asgeirsson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Dagur Asgeirsson
-/
import Mathlib.Algebra.Category.ModuleCat.Free
import Mathlib.Topology.Category.Profinite.CofilteredLimit
import Mathlib.Topology.Category.Profinite.Product
import Mathlib.Topology.LocallyConstant.Algebra
import Mathlib.Init.Data.Bool.Lemmas
/-!
# Nöbeling's theorem
This file proves Nöbeling's theorem.
## Main result
* `LocallyConstant.freeOfProfinite`: Nöbeling's theorem.
For `S : Profinite`, the `ℤ`-module `LocallyConstant S ℤ` is free.
## Proof idea
We follow the proof of theorem 5.4 in [scholze2019condensed], in which the idea is to embed `S` in
a product of `I` copies of `Bool` for some sufficiently large `I`, and then to choose a
well-ordering on `I` and use ordinal induction over that well-order. Here we can let `I` be
the set of clopen subsets of `S` since `S` is totally separated.
The above means it suffices to prove the following statement: For a closed subset `C` of `I → Bool`,
the `ℤ`-module `LocallyConstant C ℤ` is free.
For `i : I`, let `e C i : LocallyConstant C ℤ` denote the map `fun f ↦ (if f.val i then 1 else 0)`.
The basis will consist of products `e C iᵣ * ⋯ * e C i₁` with `iᵣ > ⋯ > i₁` which cannot be written
as linear combinations of lexicographically smaller products. We call this set `GoodProducts C`
What is proved by ordinal induction is that this set is linearly independent. The fact that it
spans can be proved directly.
## References
- [scholze2019condensed], Theorem 5.4.
-/
universe u
namespace Profinite
namespace NobelingProof
variable {I : Type u} [LinearOrder I] [IsWellOrder I (·<·)] (C : Set (I → Bool))
open Profinite ContinuousMap CategoryTheory Limits Opposite Submodule
section Projections
/-!
## Projection maps
The purpose of this section is twofold.
Firstly, in the proof that the set `GoodProducts C` spans the whole module `LocallyConstant C ℤ`,
we need to project `C` down to finite discrete subsets and write `C` as a cofiltered limit of those.
Secondly, in the inductive argument, we need to project `C` down to "smaller" sets satisfying the
inductive hypothesis.
In this section we define the relevant projection maps and prove some compatibility results.
### Main definitions
* Let `J : I → Prop`. Then `Proj J : (I → Bool) → (I → Bool)` is the projection mapping everything
that satisfies `J i` to itself, and everything else to `false`.
* The image of `C` under `Proj J` is denoted `π C J` and the corresponding map `C → π C J` is called
`ProjRestrict`. If `J` implies `K` we have a map `ProjRestricts : π C K → π C J`.
* `spanCone_isLimit` establishes that when `C` is compact, it can be written as a limit of its
images under the maps `Proj (· ∈ s)` where `s : Finset I`.
-/
variable (J K L : I → Prop) [∀ i, Decidable (J i)] [∀ i, Decidable (K i)] [∀ i, Decidable (L i)]
/--
The projection mapping everything that satisfies `J i` to itself, and everything else to `false`
-/
def Proj : (I → Bool) → (I → Bool) :=
fun c i ↦ if J i then c i else false
@[simp]
theorem continuous_proj :
Continuous (Proj J : (I → Bool) → (I → Bool)) := by
dsimp (config := { unfoldPartialApp := true }) [Proj]
apply continuous_pi
intro i
split
· apply continuous_apply
· apply continuous_const
/-- The image of `Proj π J` -/
def π : Set (I → Bool) := (Proj J) '' C
/-- The restriction of `Proj π J` to a subset, mapping to its image. -/
@[simps!]
def ProjRestrict : C → π C J :=
Set.MapsTo.restrict (Proj J) _ _ (Set.mapsTo_image _ _)
@[simp]
theorem continuous_projRestrict : Continuous (ProjRestrict C J) :=
Continuous.restrict _ (continuous_proj _)
theorem proj_eq_self {x : I → Bool} (h : ∀ i, x i ≠ false → J i) : Proj J x = x := by
ext i
simp only [Proj, ite_eq_left_iff]
contrapose!
simpa only [ne_comm] using h i
theorem proj_prop_eq_self (hh : ∀ i x, x ∈ C → x i ≠ false → J i) : π C J = C := by
ext x
refine ⟨fun ⟨y, hy, h⟩ ↦ ?_, fun h ↦ ⟨x, h, ?_⟩⟩
· rwa [← h, proj_eq_self]; exact (hh · y hy)
· rw [proj_eq_self]; exact (hh · x h)
theorem proj_comp_of_subset (h : ∀ i, J i → K i) : (Proj J ∘ Proj K) =
(Proj J : (I → Bool) → (I → Bool)) := by
ext x i; dsimp [Proj]; aesop
theorem proj_eq_of_subset (h : ∀ i, J i → K i) : π (π C K) J = π C J := by
ext x
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· obtain ⟨y, ⟨z, hz, rfl⟩, rfl⟩ := h
refine ⟨z, hz, (?_ : _ = (Proj J ∘ Proj K) z)⟩
rw [proj_comp_of_subset J K h]
· obtain ⟨y, hy, rfl⟩ := h
dsimp [π]
rw [← Set.image_comp]
refine ⟨y, hy, ?_⟩
rw [proj_comp_of_subset J K h]
variable {J K L}
/-- A variant of `ProjRestrict` with domain of the form `π C K` -/
@[simps!]
def ProjRestricts (h : ∀ i, J i → K i) : π C K → π C J :=
Homeomorph.setCongr (proj_eq_of_subset C J K h) ∘ ProjRestrict (π C K) J
@[simp]
theorem continuous_projRestricts (h : ∀ i, J i → K i) : Continuous (ProjRestricts C h) :=
Continuous.comp (Homeomorph.continuous _) (continuous_projRestrict _ _)
theorem surjective_projRestricts (h : ∀ i, J i → K i) : Function.Surjective (ProjRestricts C h) :=
(Homeomorph.surjective _).comp (Set.surjective_mapsTo_image_restrict _ _)
variable (J) in
theorem projRestricts_eq_id : ProjRestricts C (fun i (h : J i) ↦ h) = id := by
ext ⟨x, y, hy, rfl⟩ i
simp (config := { contextual := true }) only [π, Proj, ProjRestricts_coe, id_eq, if_true]
theorem projRestricts_eq_comp (hJK : ∀ i, J i → K i) (hKL : ∀ i, K i → L i) :
ProjRestricts C hJK ∘ ProjRestricts C hKL = ProjRestricts C (fun i ↦ hKL i ∘ hJK i) := by
ext x i
simp only [π, Proj, Function.comp_apply, ProjRestricts_coe]
aesop
theorem projRestricts_comp_projRestrict (h : ∀ i, J i → K i) :
ProjRestricts C h ∘ ProjRestrict C K = ProjRestrict C J := by
ext x i
simp only [π, Proj, Function.comp_apply, ProjRestricts_coe, ProjRestrict_coe]
aesop
variable (J)
/-- The objectwise map in the isomorphism `spanFunctor ≅ Profinite.indexFunctor`. -/
def iso_map : C(π C J, (IndexFunctor.obj C J)) :=
⟨fun x ↦ ⟨fun i ↦ x.val i.val, by
rcases x with ⟨x, y, hy, rfl⟩
refine ⟨y, hy, ?_⟩
ext ⟨i, hi⟩
simp [precomp, Proj, hi]⟩, by
refine Continuous.subtype_mk (continuous_pi fun i ↦ ?_) _
exact (continuous_apply i.val).comp continuous_subtype_val⟩
lemma iso_map_bijective : Function.Bijective (iso_map C J) := by
refine ⟨fun a b h ↦ ?_, fun a ↦ ?_⟩
· ext i
rw [Subtype.ext_iff] at h
by_cases hi : J i
· exact congr_fun h ⟨i, hi⟩
· rcases a with ⟨_, c, hc, rfl⟩
rcases b with ⟨_, d, hd, rfl⟩
simp only [Proj, if_neg hi]
· refine ⟨⟨fun i ↦ if hi : J i then a.val ⟨i, hi⟩ else false, ?_⟩, ?_⟩
· rcases a with ⟨_, y, hy, rfl⟩
exact ⟨y, hy, rfl⟩
· ext i
exact dif_pos i.prop
variable {C} (hC : IsCompact C)
/--
For a given compact subset `C` of `I → Bool`, `spanFunctor` is the functor from the poset of finsets
of `I` to `Profinite`, sending a finite subset set `J` to the image of `C` under the projection
`Proj J`.
-/
noncomputable
def spanFunctor [∀ (s : Finset I) (i : I), Decidable (i ∈ s)] :
(Finset I)ᵒᵖ ⥤ Profinite.{u} where
obj s := @Profinite.of (π C (· ∈ (unop s))) _
(by rw [← isCompact_iff_compactSpace]; exact hC.image (continuous_proj _)) _ _
map h := ⟨(ProjRestricts C (leOfHom h.unop)), continuous_projRestricts _ _⟩
map_id J := by simp only [projRestricts_eq_id C (· ∈ (unop J))]; rfl
map_comp _ _ := by dsimp; congr; dsimp; rw [projRestricts_eq_comp]
/-- The limit cone on `spanFunctor` with point `C`. -/
noncomputable
def spanCone [∀ (s : Finset I) (i : I), Decidable (i ∈ s)] : Cone (spanFunctor hC) where
pt := @Profinite.of C _ (by rwa [← isCompact_iff_compactSpace]) _ _
π :=
{ app := fun s ↦ ⟨ProjRestrict C (· ∈ unop s), continuous_projRestrict _ _⟩
naturality := by
intro X Y h
simp only [Functor.const_obj_obj, Homeomorph.setCongr, Homeomorph.homeomorph_mk_coe,
Functor.const_obj_map, Category.id_comp, ← projRestricts_comp_projRestrict C
(leOfHom h.unop)]
rfl }
/-- `spanCone` is a limit cone. -/
noncomputable
def spanCone_isLimit [∀ (s : Finset I) (i : I), Decidable (i ∈ s)] :
CategoryTheory.Limits.IsLimit (spanCone hC) := by
refine (IsLimit.postcomposeHomEquiv (NatIso.ofComponents
(fun s ↦ (Profinite.isoOfBijective _ (iso_map_bijective C (· ∈ unop s)))) ?_) (spanCone hC))
(IsLimit.ofIsoLimit (indexCone_isLimit hC) (Cones.ext (Iso.refl _) ?_))
· intro ⟨s⟩ ⟨t⟩ ⟨⟨⟨f⟩⟩⟩
ext x
have : iso_map C (· ∈ t) ∘ ProjRestricts C f = IndexFunctor.map C f ∘ iso_map C (· ∈ s) := by
ext _ i; exact dif_pos i.prop
exact congr_fun this x
· intro ⟨s⟩
ext x
have : iso_map C (· ∈ s) ∘ ProjRestrict C (· ∈ s) = IndexFunctor.π_app C (· ∈ s) := by
ext _ i; exact dif_pos i.prop
erw [← this]
rfl
end Projections
section Products
/-!
## Defining the basis
Our proposed basis consists of products `e C iᵣ * ⋯ * e C i₁` with `iᵣ > ⋯ > i₁` which cannot be
written as linear combinations of lexicographically smaller products. See below for the definition
of `e`.
### Main definitions
* For `i : I`, we let `e C i : LocallyConstant C ℤ` denote the map
`fun f ↦ (if f.val i then 1 else 0)`.
* `Products I` is the type of lists of decreasing elements of `I`, so a typical element is
`[i₁, i₂,..., iᵣ]` with `i₁ > i₂ > ... > iᵣ`.
* `Products.eval C` is the `C`-evaluation of a list. It takes a term `[i₁, i₂,..., iᵣ] : Products I`
and returns the actual product `e C i₁ ··· e C iᵣ : LocallyConstant C ℤ`.
* `GoodProducts C` is the set of `Products I` such that their `C`-evaluation cannot be written as
a linear combination of evaluations of lexicographically smaller lists.
### Main results
* `Products.evalFacProp` and `Products.evalFacProps` establish the fact that `Products.eval`
interacts nicely with the projection maps from the previous section.
* `GoodProducts.span_iff_products`: the good products span `LocallyConstant C ℤ` iff all the
products span `LocallyConstant C ℤ`.
-/
/--
`e C i` is the locally constant map from `C : Set (I → Bool)` to `ℤ` sending `f` to 1 if
`f.val i = true`, and 0 otherwise.
-/
def e (i : I) : LocallyConstant C ℤ where
toFun := fun f ↦ (if f.val i then 1 else 0)
isLocallyConstant := by
rw [IsLocallyConstant.iff_continuous]
exact (continuous_of_discreteTopology (f := fun (a : Bool) ↦ (if a then (1 : ℤ) else 0))).comp
((continuous_apply i).comp continuous_subtype_val)
/--
`Products I` is the type of lists of decreasing elements of `I`, so a typical element is
`[i₁, i₂, ...]` with `i₁ > i₂ > ...`. We order `Products I` lexicographically, so `[] < [i₁, ...]`,
and `[i₁, i₂, ...] < [j₁, j₂, ...]` if either `i₁ < j₁`, or `i₁ = j₁` and `[i₂, ...] < [j₂, ...]`.
Terms `m = [i₁, i₂, ..., iᵣ]` of this type will be used to represent products of the form
`e C i₁ ··· e C iᵣ : LocallyConstant C ℤ` . The function associated to `m` is `m.eval`.
-/
def Products (I : Type*) [LinearOrder I] := {l : List I // l.Chain' (·>·)}
namespace Products
instance : LinearOrder (Products I) :=
inferInstanceAs (LinearOrder {l : List I // l.Chain' (·>·)})
@[simp]
theorem lt_iff_lex_lt (l m : Products I) : l < m ↔ List.Lex (·<·) l.val m.val := by
cases l; cases m; rw [Subtype.mk_lt_mk]; exact Iff.rfl
instance : IsWellFounded (Products I) (·<·) := by
have : (· < · : Products I → _ → _) = (fun l m ↦ List.Lex (·<·) l.val m.val) := by
ext; exact lt_iff_lex_lt _ _
rw [this]
dsimp [Products]
rw [(by rfl : (·>· : I → _) = flip (·<·))]
infer_instance
/-- The evaluation `e C i₁ ··· e C iᵣ : C → ℤ` of a formal product `[i₁, i₂, ..., iᵣ]`. -/
def eval (l : Products I) := (l.1.map (e C)).prod
/--
The predicate on products which we prove picks out a basis of `LocallyConstant C ℤ`. We call such a
product "good".
-/
def isGood (l : Products I) : Prop :=
l.eval C ∉ Submodule.span ℤ ((Products.eval C) '' {m | m < l})
theorem rel_head!_of_mem [Inhabited I] {i : I} {l : Products I} (hi : i ∈ l.val) :
i ≤ l.val.head! :=
List.Sorted.le_head! (List.chain'_iff_pairwise.mp l.prop) hi
theorem head!_le_of_lt [Inhabited I] {q l : Products I} (h : q < l) (hq : q.val ≠ []) :
q.val.head! ≤ l.val.head! :=
List.head!_le_of_lt l.val q.val h hq
end Products
/-- The set of good products. -/
def GoodProducts := {l : Products I | l.isGood C}
namespace GoodProducts
/-- Evaluation of good products. -/
def eval (l : {l : Products I // l.isGood C}) : LocallyConstant C ℤ :=
Products.eval C l.1
theorem injective : Function.Injective (eval C) := by
intro ⟨a, ha⟩ ⟨b, hb⟩ h
dsimp [eval] at h
rcases lt_trichotomy a b with (h'|rfl|h')
· exfalso; apply hb; rw [← h]
exact Submodule.subset_span ⟨a, h', rfl⟩
· rfl
· exfalso; apply ha; rw [h]
exact Submodule.subset_span ⟨b, ⟨h',rfl⟩⟩
/-- The image of the good products in the module `LocallyConstant C ℤ`. -/
def range := Set.range (GoodProducts.eval C)
/-- The type of good products is equivalent to its image. -/
noncomputable
def equiv_range : GoodProducts C ≃ range C :=
Equiv.ofInjective (eval C) (injective C)
theorem equiv_toFun_eq_eval : (equiv_range C).toFun = Set.rangeFactorization (eval C) := rfl
theorem linearIndependent_iff_range : LinearIndependent ℤ (GoodProducts.eval C) ↔
LinearIndependent ℤ (fun (p : range C) ↦ p.1) := by
rw [← @Set.rangeFactorization_eq _ _ (GoodProducts.eval C), ← equiv_toFun_eq_eval C]
exact linearIndependent_equiv (equiv_range C)
end GoodProducts
namespace Products
theorem eval_eq (l : Products I) (x : C) :
l.eval C x = if ∀ i, i ∈ l.val → (x.val i = true) then 1 else 0 := by
change LocallyConstant.evalMonoidHom x (l.eval C) = _
rw [eval, map_list_prod]
split_ifs with h
· simp only [List.map_map]
apply List.prod_eq_one
simp only [List.mem_map, Function.comp_apply]
rintro _ ⟨i, hi, rfl⟩
exact if_pos (h i hi)
· simp only [List.map_map, List.prod_eq_zero_iff, List.mem_map, Function.comp_apply]
push_neg at h
convert h with i
dsimp [LocallyConstant.evalMonoidHom, e]
simp only [ite_eq_right_iff, one_ne_zero]
theorem evalFacProp {l : Products I} (J : I → Prop)
(h : ∀ a, a ∈ l.val → J a) [∀ j, Decidable (J j)] :
l.eval (π C J) ∘ ProjRestrict C J = l.eval C := by
ext x
dsimp [ProjRestrict]
rw [Products.eval_eq, Products.eval_eq]
congr
apply forall_congr; intro i
apply forall_congr; intro hi
simp [h i hi, Proj]
theorem evalFacProps {l : Products I} (J K : I → Prop)
(h : ∀ a, a ∈ l.val → J a) [∀ j, Decidable (J j)] [∀ j, Decidable (K j)]
(hJK : ∀ i, J i → K i) :
l.eval (π C J) ∘ ProjRestricts C hJK = l.eval (π C K) := by
have : l.eval (π C J) ∘ Homeomorph.setCongr (proj_eq_of_subset C J K hJK) =
l.eval (π (π C K) J) := by
ext; simp [Homeomorph.setCongr, Products.eval_eq]
rw [ProjRestricts, ← Function.comp.assoc, this, ← evalFacProp (π C K) J h]
theorem prop_of_isGood {l : Products I} (J : I → Prop) [∀ j, Decidable (J j)]
(h : l.isGood (π C J)) : ∀ a, a ∈ l.val → J a := by
intro i hi
by_contra h'
apply h
suffices eval (π C J) l = 0 by
rw [this]
exact Submodule.zero_mem _
ext ⟨_, _, _, rfl⟩
rw [eval_eq, if_neg fun h ↦ ?_, LocallyConstant.zero_apply]
simpa [Proj, h'] using h i hi
end Products
/-- The good products span `LocallyConstant C ℤ` if and only all the products do. -/
theorem GoodProducts.span_iff_products : ⊤ ≤ span ℤ (Set.range (eval C)) ↔
⊤ ≤ span ℤ (Set.range (Products.eval C)) := by
refine ⟨fun h ↦ le_trans h (span_mono (fun a ⟨b, hb⟩ ↦ ⟨b.val, hb⟩)), fun h ↦ le_trans h ?_⟩
rw [span_le]
rintro f ⟨l, rfl⟩
let L : Products I → Prop := fun m ↦ m.eval C ∈ span ℤ (Set.range (GoodProducts.eval C))
suffices L l by assumption
apply IsWellFounded.induction (·<· : Products I → Products I → Prop)
intro l h
dsimp
by_cases hl : l.isGood C
· apply subset_span
exact ⟨⟨l, hl⟩, rfl⟩
· simp only [Products.isGood, not_not] at hl
suffices Products.eval C '' {m | m < l} ⊆ span ℤ (Set.range (GoodProducts.eval C)) by
rw [← span_le] at this
exact this hl
rintro a ⟨m, hm, rfl⟩
exact h m hm
end Products
section Span
/-!
## The good products span
Most of the argument is developing an API for `π C (· ∈ s)` when `s : Finset I`; then the image
of `C` is finite with the discrete topology. In this case, there is a direct argument that the good
products span. The general result is deduced from this.
### Main theorems
* `GoodProducts.spanFin` : The good products span the locally constant functions on `π C (· ∈ s)`
if `s` is finite.
* `GoodProducts.span` : The good products span `LocallyConstant C ℤ` for every closed subset `C`.
-/
section Fin
variable (s : Finset I)
/-- The `ℤ`-linear map induced by precomposition of the projection `C → π C (· ∈ s)`. -/
noncomputable
def πJ : LocallyConstant (π C (· ∈ s)) ℤ →ₗ[ℤ] LocallyConstant C ℤ :=
LocallyConstant.comapₗ ℤ ⟨_, (continuous_projRestrict C (· ∈ s))⟩
theorem eval_eq_πJ (l : Products I) (hl : l.isGood (π C (· ∈ s))) :
l.eval C = πJ C s (l.eval (π C (· ∈ s))) := by
ext f
simp only [πJ, LocallyConstant.comapₗ, LinearMap.coe_mk, AddHom.coe_mk,
(continuous_projRestrict C (· ∈ s)), LocallyConstant.coe_comap, Function.comp_apply]
exact (congr_fun (Products.evalFacProp C (· ∈ s) (Products.prop_of_isGood C (· ∈ s) hl)) _).symm
/-- `π C (· ∈ s)` is finite for a finite set `s`. -/
noncomputable
instance : Fintype (π C (· ∈ s)) := by
let f : π C (· ∈ s) → (s → Bool) := fun x j ↦ x.val j.val
refine Fintype.ofInjective f ?_
intro ⟨_, x, hx, rfl⟩ ⟨_, y, hy, rfl⟩ h
ext i
by_cases hi : i ∈ s
· exact congrFun h ⟨i, hi⟩
· simp only [Proj, if_neg hi]
open scoped Classical in
/-- The Kronecker delta as a locally constant map from `π C (· ∈ s)` to `ℤ`. -/
noncomputable
def spanFinBasis (x : π C (· ∈ s)) : LocallyConstant (π C (· ∈ s)) ℤ where
toFun := fun y ↦ if y = x then 1 else 0
isLocallyConstant :=
haveI : DiscreteTopology (π C (· ∈ s)) := discrete_of_t1_of_finite
IsLocallyConstant.of_discrete _
open scoped Classical in
theorem spanFinBasis.span : ⊤ ≤ Submodule.span ℤ (Set.range (spanFinBasis C s)) := by
intro f _
rw [Finsupp.mem_span_range_iff_exists_finsupp]
use Finsupp.onFinset (Finset.univ) f.toFun (fun _ _ ↦ Finset.mem_univ _)
ext x
change LocallyConstant.evalₗ ℤ x _ = _
simp only [zsmul_eq_mul, map_finsupp_sum, LocallyConstant.evalₗ_apply,
LocallyConstant.coe_mul, Pi.mul_apply, spanFinBasis, LocallyConstant.coe_mk, mul_ite, mul_one,
mul_zero, Finsupp.sum_ite_eq, Finsupp.mem_support_iff, ne_eq, ite_not]
split_ifs with h <;> [exact h.symm; rfl]
/--
A certain explicit list of locally constant maps. The theorem `factors_prod_eq_basis` shows that the
product of the elements in this list is the delta function `spanFinBasis C s x`.
-/
def factors (x : π C (· ∈ s)) : List (LocallyConstant (π C (· ∈ s)) ℤ) :=
List.map (fun i ↦ if x.val i = true then e (π C (· ∈ s)) i else (1 - (e (π C (· ∈ s)) i)))
(s.sort (·≥·))
theorem list_prod_apply (x : C) (l : List (LocallyConstant C ℤ)) :
l.prod x = (l.map (LocallyConstant.evalMonoidHom x)).prod := by
rw [← map_list_prod (LocallyConstant.evalMonoidHom x) l]
rfl
theorem factors_prod_eq_basis_of_eq {x y : (π C fun x ↦ x ∈ s)} (h : y = x) :
(factors C s x).prod y = 1 := by
rw [list_prod_apply (π C (· ∈ s)) y _]
apply List.prod_eq_one
simp only [h, List.mem_map, LocallyConstant.evalMonoidHom, factors]
rintro _ ⟨a, ⟨b, _, rfl⟩, rfl⟩
dsimp
split_ifs with hh
· rw [e, LocallyConstant.coe_mk, if_pos hh]
· rw [LocallyConstant.sub_apply, e, LocallyConstant.coe_mk, LocallyConstant.coe_mk, if_neg hh]
simp only [LocallyConstant.toFun_eq_coe, LocallyConstant.coe_one, Pi.one_apply, sub_zero]
theorem e_mem_of_eq_true {x : (π C (· ∈ s))} {a : I} (hx : x.val a = true) :
e (π C (· ∈ s)) a ∈ factors C s x := by
rcases x with ⟨_, z, hz, rfl⟩
simp only [factors, List.mem_map, Finset.mem_sort]
refine ⟨a, ?_, if_pos hx⟩
aesop (add simp Proj)
theorem one_sub_e_mem_of_false {x y : (π C (· ∈ s))} {a : I} (ha : y.val a = true)
(hx : x.val a = false) : 1 - e (π C (· ∈ s)) a ∈ factors C s x := by
simp only [factors, List.mem_map, Finset.mem_sort]
use a
simp only [hx, ite_false, and_true]
rcases y with ⟨_, z, hz, rfl⟩
aesop (add simp Proj)
theorem factors_prod_eq_basis_of_ne {x y : (π C (· ∈ s))} (h : y ≠ x) :
(factors C s x).prod y = 0 := by
rw [list_prod_apply (π C (· ∈ s)) y _]
apply List.prod_eq_zero
simp only [List.mem_map]
obtain ⟨a, ha⟩ : ∃ a, y.val a ≠ x.val a := by contrapose! h; ext; apply h
cases hx : x.val a
· rw [hx, ne_eq, Bool.not_eq_false] at ha
refine ⟨1 - (e (π C (· ∈ s)) a), ⟨one_sub_e_mem_of_false _ _ ha hx, ?_⟩⟩
rw [e, LocallyConstant.evalMonoidHom_apply, LocallyConstant.sub_apply,
LocallyConstant.coe_one, Pi.one_apply, LocallyConstant.coe_mk, if_pos ha, sub_self]
· refine ⟨e (π C (· ∈ s)) a, ⟨e_mem_of_eq_true _ _ hx, ?_⟩⟩
rw [hx] at ha
rw [LocallyConstant.evalMonoidHom_apply, e, LocallyConstant.coe_mk, if_neg ha]
/-- If `s` is finite, the product of the elements of the list `factors C s x`
is the delta function at `x`. -/
theorem factors_prod_eq_basis (x : π C (· ∈ s)) :
(factors C s x).prod = spanFinBasis C s x := by
ext y
dsimp [spanFinBasis]
split_ifs with h <;> [exact factors_prod_eq_basis_of_eq _ _ h;
exact factors_prod_eq_basis_of_ne _ _ h]
theorem GoodProducts.finsupp_sum_mem_span_eval {a : I} {as : List I}
(ha : List.Chain' (· > ·) (a :: as)) {c : Products I →₀ ℤ}
(hc : (c.support : Set (Products I)) ⊆ {m | m.val ≤ as}) :
(Finsupp.sum c fun a_1 b ↦ e (π C (· ∈ s)) a * b • Products.eval (π C (· ∈ s)) a_1) ∈
Submodule.span ℤ (Products.eval (π C (· ∈ s)) '' {m | m.val ≤ a :: as}) := by
apply Submodule.finsupp_sum_mem
intro m hm
have hsm := (LinearMap.mulLeft ℤ (e (π C (· ∈ s)) a)).map_smul
dsimp at hsm
rw [hsm]
apply Submodule.smul_mem
apply Submodule.subset_span
have hmas : m.val ≤ as := by
apply hc
simpa only [Finset.mem_coe, Finsupp.mem_support_iff] using hm
refine ⟨⟨a :: m.val, ha.cons_of_le m.prop hmas⟩, ⟨List.cons_le_cons a hmas, ?_⟩⟩
simp only [Products.eval, List.map, List.prod_cons]
/-- If `s` is a finite subset of `I`, then the good products span. -/
theorem GoodProducts.spanFin : ⊤ ≤ Submodule.span ℤ (Set.range (eval (π C (· ∈ s)))) := by
rw [span_iff_products]
refine le_trans (spanFinBasis.span C s) ?_
rw [Submodule.span_le]
rintro _ ⟨x, rfl⟩
rw [← factors_prod_eq_basis]
let l := s.sort (·≥·)
dsimp [factors]
suffices l.Chain' (·>·) → (l.map (fun i ↦ if x.val i = true then e (π C (· ∈ s)) i
else (1 - (e (π C (· ∈ s)) i)))).prod ∈
Submodule.span ℤ ((Products.eval (π C (· ∈ s))) '' {m | m.val ≤ l}) from
Submodule.span_mono (Set.image_subset_range _ _) (this (Finset.sort_sorted_gt _).chain')
induction l with
| nil =>
intro _
apply Submodule.subset_span
exact ⟨⟨[], List.chain'_nil⟩,⟨Or.inl rfl, rfl⟩⟩
| cons a as ih =>
rw [List.map_cons, List.prod_cons]
intro ha
specialize ih (by rw [List.chain'_cons'] at ha; exact ha.2)
rw [Finsupp.mem_span_image_iff_total] at ih
simp only [Finsupp.mem_supported, Finsupp.total_apply] at ih
obtain ⟨c, hc, hc'⟩ := ih
rw [← hc']; clear hc'
have hmap := fun g ↦ map_finsupp_sum (LinearMap.mulLeft ℤ (e (π C (· ∈ s)) a)) c g
dsimp at hmap ⊢
split_ifs
· rw [hmap]
exact finsupp_sum_mem_span_eval _ _ ha hc
· ring_nf
rw [hmap]
apply Submodule.add_mem
· apply Submodule.neg_mem
exact finsupp_sum_mem_span_eval _ _ ha hc
· apply Submodule.finsupp_sum_mem
intro m hm
apply Submodule.smul_mem
apply Submodule.subset_span
refine ⟨m, ⟨?_, rfl⟩⟩
simp only [Set.mem_setOf_eq]
have hmas : m.val ≤ as :=
hc (by simpa only [Finset.mem_coe, Finsupp.mem_support_iff] using hm)
refine le_trans hmas ?_
cases as with
| nil => exact (List.nil_lt_cons a []).le
| cons b bs =>
apply le_of_lt
rw [List.chain'_cons] at ha
have hlex := List.lt.head bs (b :: bs) ha.1
exact (List.lt_iff_lex_lt _ _).mp hlex
end Fin
theorem fin_comap_jointlySurjective
(hC : IsClosed C)
(f : LocallyConstant C ℤ) : ∃ (s : Finset I)
(g : LocallyConstant (π C (· ∈ s)) ℤ), f = g.comap ⟨(ProjRestrict C (· ∈ s)),
continuous_projRestrict _ _⟩ := by
obtain ⟨J, g, h⟩ := @Profinite.exists_locallyConstant.{0, u, u} (Finset I)ᵒᵖ _ _ _
(spanCone hC.isCompact) ℤ
(spanCone_isLimit hC.isCompact) f
exact ⟨(Opposite.unop J), g, h⟩
/-- The good products span all of `LocallyConstant C ℤ` if `C` is closed. -/
theorem GoodProducts.span (hC : IsClosed C) :
⊤ ≤ Submodule.span ℤ (Set.range (eval C)) := by
rw [span_iff_products]
intro f _
obtain ⟨K, f', rfl⟩ : ∃ K f', f = πJ C K f' := fin_comap_jointlySurjective C hC f
refine Submodule.span_mono ?_ <| Submodule.apply_mem_span_image_of_mem_span (πJ C K) <|
spanFin C K (Submodule.mem_top : f' ∈ ⊤)
rintro l ⟨y, ⟨m, rfl⟩, rfl⟩
exact ⟨m.val, eval_eq_πJ C K m.val m.prop⟩
end Span
section Ordinal
/-!
## Relating elements of the well-order `I` with ordinals
We choose a well-ordering on `I`. This amounts to regarding `I` as an ordinal, and as such it
can be regarded as the set of all strictly smaller ordinals, allowing to apply ordinal induction.
### Main definitions
* `ord I i` is the term `i` of `I` regarded as an ordinal.
* `term I ho` is a sufficiently small ordinal regarded as a term of `I`.
* `contained C o` is a predicate saying that `C` is "small" enough in relation to the ordinal `o`
to satisfy the inductive hypothesis.
* `P I` is the predicate on ordinals about linear independence of good products, which the rest of
this file is spent on proving by induction.
-/
variable (I)
/-- A term of `I` regarded as an ordinal. -/
def ord (i : I) : Ordinal := Ordinal.typein ((·<·) : I → I → Prop) i
/-- An ordinal regarded as a term of `I`. -/
noncomputable
def term {o : Ordinal} (ho : o < Ordinal.type ((·<·) : I → I → Prop)) : I :=
Ordinal.enum ((·<·) : I → I → Prop) o ho
variable {I}
theorem term_ord_aux {i : I} (ho : ord I i < Ordinal.type ((·<·) : I → I → Prop)) :
term I ho = i := by
simp only [term, ord, Ordinal.enum_typein]
@[simp]
theorem ord_term_aux {o : Ordinal} (ho : o < Ordinal.type ((·<·) : I → I → Prop)) :
ord I (term I ho) = o := by
simp only [ord, term, Ordinal.typein_enum]
theorem ord_term {o : Ordinal} (ho : o < Ordinal.type ((·<·) : I → I → Prop)) (i : I) :
ord I i = o ↔ term I ho = i := by
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· subst h
exact term_ord_aux ho
· subst h
exact ord_term_aux ho
/-- A predicate saying that `C` is "small" enough to satisfy the inductive hypothesis. -/
def contained (o : Ordinal) : Prop := ∀ f, f ∈ C → ∀ (i : I), f i = true → ord I i < o
variable (I) in
/--
The predicate on ordinals which we prove by induction, see `GoodProducts.P0`,
`GoodProducts.Plimit` and `GoodProducts.linearIndependentAux` in the section `Induction` below
-/
def P (o : Ordinal) : Prop :=
o ≤ Ordinal.type (·<· : I → I → Prop) →
(∀ (C : Set (I → Bool)), IsClosed C → contained C o →
LinearIndependent ℤ (GoodProducts.eval C))
theorem Products.prop_of_isGood_of_contained {l : Products I} (o : Ordinal) (h : l.isGood C)
(hsC : contained C o) (i : I) (hi : i ∈ l.val) : ord I i < o := by
by_contra h'
apply h
suffices eval C l = 0 by simp [this, Submodule.zero_mem]
ext x
simp only [eval_eq, LocallyConstant.coe_zero, Pi.zero_apply, ite_eq_right_iff, one_ne_zero]
contrapose! h'
exact hsC x.val x.prop i (h'.1 i hi)
end Ordinal
section Zero
/-!
## The zero case of the induction
In this case, we have `contained C 0` which means that `C` is either empty or a singleton.
-/
instance : Subsingleton (LocallyConstant (∅ : Set (I → Bool)) ℤ) :=
subsingleton_iff.mpr (fun _ _ ↦ LocallyConstant.ext isEmptyElim)
instance : IsEmpty { l // Products.isGood (∅ : Set (I → Bool)) l } :=
isEmpty_iff.mpr fun ⟨l, hl⟩ ↦ hl <| by
rw [subsingleton_iff.mp inferInstance (Products.eval ∅ l) 0]
exact Submodule.zero_mem _
theorem GoodProducts.linearIndependentEmpty :
LinearIndependent ℤ (eval (∅ : Set (I → Bool))) := linearIndependent_empty_type
/-- The empty list as a `Products` -/
def Products.nil : Products I := ⟨[], by simp only [List.chain'_nil]⟩
theorem Products.lt_nil_empty : { m : Products I | m < Products.nil } = ∅ := by
ext ⟨m, hm⟩
refine ⟨fun h ↦ ?_, by tauto⟩
simp only [Set.mem_setOf_eq, lt_iff_lex_lt, nil, List.Lex.not_nil_right] at h
instance {α : Type*} [TopologicalSpace α] [Nonempty α] : Nontrivial (LocallyConstant α ℤ) :=
⟨0, 1, ne_of_apply_ne DFunLike.coe <| (Function.const_injective (β := ℤ)).ne zero_ne_one⟩
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem Products.isGood_nil : Products.isGood ({fun _ ↦ false} : Set (I → Bool)) Products.nil := by
intro h
simp only [Products.lt_nil_empty, Products.eval, List.map, List.prod_nil, Set.image_empty,
Submodule.span_empty, Submodule.mem_bot, one_ne_zero] at h
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem Products.span_nil_eq_top :
Submodule.span ℤ (eval ({fun _ ↦ false} : Set (I → Bool)) '' {nil}) = ⊤ := by
rw [Set.image_singleton, eq_top_iff]
intro f _
rw [Submodule.mem_span_singleton]
refine ⟨f default, ?_⟩
simp only [eval, List.map, List.prod_nil, zsmul_eq_mul, mul_one]
ext x
obtain rfl : x = default := by simp only [Set.default_coe_singleton, eq_iff_true_of_subsingleton]
rfl
/-- There is a unique `GoodProducts` for the singleton `{fun _ ↦ false}`. -/
noncomputable
instance : Unique { l // Products.isGood ({fun _ ↦ false} : Set (I → Bool)) l } where
default := ⟨Products.nil, Products.isGood_nil⟩
uniq := by
intro ⟨⟨l, hl⟩, hll⟩
ext
apply Subtype.ext
apply (List.Lex.nil_left_or_eq_nil l (r := (·<·))).resolve_left
intro _
apply hll
have he : {Products.nil} ⊆ {m | m < ⟨l,hl⟩} := by
simpa only [Products.nil, Products.lt_iff_lex_lt, Set.singleton_subset_iff, Set.mem_setOf_eq]
apply Submodule.span_mono (Set.image_subset _ he)
rw [Products.span_nil_eq_top]
exact Submodule.mem_top
instance (α : Type*) [TopologicalSpace α] : NoZeroSMulDivisors ℤ (LocallyConstant α ℤ) := by
constructor
intro c f h
rw [or_iff_not_imp_left]
intro hc
ext x
apply mul_right_injective₀ hc
simp [LocallyConstant.ext_iff] at h ⊢
exact h x
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
theorem GoodProducts.linearIndependentSingleton :
LinearIndependent ℤ (eval ({fun _ ↦ false} : Set (I → Bool))) := by
refine linearIndependent_unique (eval ({fun _ ↦ false} : Set (I → Bool))) ?_
simp only [eval, Products.eval, List.map, List.prod_nil, ne_eq, one_ne_zero, not_false_eq_true]
end Zero
section Maps
/-!
## `ℤ`-linear maps induced by projections
We define injective `ℤ`-linear maps between modules of the form `LocallyConstant C ℤ` induced by
precomposition with the projections defined in the section `Projections`.
### Main definitions
* `πs` and `πs'` are the `ℤ`-linear maps corresponding to `ProjRestrict` and `ProjRestricts`
respectively.
### Main result
* We prove that `πs` and `πs'` interact well with `Products.eval` and the main application is the
theorem `isGood_mono` which says that the property `isGood` is "monotone" on ordinals.
-/
theorem contained_eq_proj (o : Ordinal) (h : contained C o) :
C = π C (ord I · < o) := by
have := proj_prop_eq_self C (ord I · < o)
simp [π, Bool.not_eq_false] at this
exact (this (fun i x hx ↦ h x hx i)).symm
theorem isClosed_proj (o : Ordinal) (hC : IsClosed C) : IsClosed (π C (ord I · < o)) :=
(continuous_proj (ord I · < o)).isClosedMap C hC
theorem contained_proj (o : Ordinal) : contained (π C (ord I · < o)) o := by
intro x ⟨_, _, h⟩ j hj
aesop (add simp Proj)
/-- The `ℤ`-linear map induced by precomposition of the projection `C → π C (ord I · < o)`. -/
@[simps!]
noncomputable
def πs (o : Ordinal) : LocallyConstant (π C (ord I · < o)) ℤ →ₗ[ℤ] LocallyConstant C ℤ :=
LocallyConstant.comapₗ ℤ ⟨(ProjRestrict C (ord I · < o)), (continuous_projRestrict _ _)⟩
theorem coe_πs (o : Ordinal) (f : LocallyConstant (π C (ord I · < o)) ℤ) :
πs C o f = f ∘ ProjRestrict C (ord I · < o) := by
rfl
theorem injective_πs (o : Ordinal) : Function.Injective (πs C o) :=
LocallyConstant.comap_injective ⟨_, (continuous_projRestrict _ _)⟩
(Set.surjective_mapsTo_image_restrict _ _)
/-- The `ℤ`-linear map induced by precomposition of the projection
`π C (ord I · < o₂) → π C (ord I · < o₁)` for `o₁ ≤ o₂`. -/
@[simps!]
noncomputable
def πs' {o₁ o₂ : Ordinal} (h : o₁ ≤ o₂) :
LocallyConstant (π C (ord I · < o₁)) ℤ →ₗ[ℤ] LocallyConstant (π C (ord I · < o₂)) ℤ :=
LocallyConstant.comapₗ ℤ ⟨(ProjRestricts C (fun _ hh ↦ lt_of_lt_of_le hh h)),
(continuous_projRestricts _ _)⟩
theorem coe_πs' {o₁ o₂ : Ordinal} (h : o₁ ≤ o₂) (f : LocallyConstant (π C (ord I · < o₁)) ℤ) :
(πs' C h f).toFun = f.toFun ∘ (ProjRestricts C (fun _ hh ↦ lt_of_lt_of_le hh h)) := by
rfl
theorem injective_πs' {o₁ o₂ : Ordinal} (h : o₁ ≤ o₂) : Function.Injective (πs' C h) :=
LocallyConstant.comap_injective ⟨_, (continuous_projRestricts _ _)⟩
(surjective_projRestricts _ fun _ hi ↦ lt_of_lt_of_le hi h)
namespace Products
theorem lt_ord_of_lt {l m : Products I} {o : Ordinal} (h₁ : m < l)
(h₂ : ∀ i ∈ l.val, ord I i < o) : ∀ i ∈ m.val, ord I i < o :=
List.Sorted.lt_ord_of_lt (List.chain'_iff_pairwise.mp l.2) (List.chain'_iff_pairwise.mp m.2) h₁ h₂
theorem eval_πs {l : Products I} {o : Ordinal} (hlt : ∀ i ∈ l.val, ord I i < o) :
πs C o (l.eval (π C (ord I · < o))) = l.eval C := by
simpa only [← LocallyConstant.coe_inj] using evalFacProp C (ord I · < o) hlt
theorem eval_πs' {l : Products I} {o₁ o₂ : Ordinal} (h : o₁ ≤ o₂)
(hlt : ∀ i ∈ l.val, ord I i < o₁) :
πs' C h (l.eval (π C (ord I · < o₁))) = l.eval (π C (ord I · < o₂)) := by
rw [← LocallyConstant.coe_inj, ← LocallyConstant.toFun_eq_coe]
exact evalFacProps C (fun (i : I) ↦ ord I i < o₁) (fun (i : I) ↦ ord I i < o₂) hlt
(fun _ hh ↦ lt_of_lt_of_le hh h)
theorem eval_πs_image {l : Products I} {o : Ordinal}
(hl : ∀ i ∈ l.val, ord I i < o) : eval C '' { m | m < l } =
(πs C o) '' (eval (π C (ord I · < o)) '' { m | m < l }) := by
ext f
simp only [Set.mem_image, Set.mem_setOf_eq, exists_exists_and_eq_and]
apply exists_congr; intro m
apply and_congr_right; intro hm
rw [eval_πs C (lt_ord_of_lt hm hl)]
theorem eval_πs_image' {l : Products I} {o₁ o₂ : Ordinal} (h : o₁ ≤ o₂)
(hl : ∀ i ∈ l.val, ord I i < o₁) : eval (π C (ord I · < o₂)) '' { m | m < l } =
(πs' C h) '' (eval (π C (ord I · < o₁)) '' { m | m < l }) := by
ext f
simp only [Set.mem_image, Set.mem_setOf_eq, exists_exists_and_eq_and]
apply exists_congr; intro m
apply and_congr_right; intro hm
rw [eval_πs' C h (lt_ord_of_lt hm hl)]
theorem head_lt_ord_of_isGood [Inhabited I] {l : Products I} {o : Ordinal}
(h : l.isGood (π C (ord I · < o))) (hn : l.val ≠ []) : ord I (l.val.head!) < o :=
prop_of_isGood C (ord I · < o) h l.val.head! (List.head!_mem_self hn)
/--
If `l` is good w.r.t. `π C (ord I · < o₁)` and `o₁ ≤ o₂`, then it is good w.r.t.
`π C (ord I · < o₂)`
-/
theorem isGood_mono {l : Products I} {o₁ o₂ : Ordinal} (h : o₁ ≤ o₂)
(hl : l.isGood (π C (ord I · < o₁))) : l.isGood (π C (ord I · < o₂)) := by
intro hl'
apply hl
rwa [eval_πs_image' C h (prop_of_isGood C _ hl), ← eval_πs' C h (prop_of_isGood C _ hl),
Submodule.apply_mem_span_image_iff_mem_span (injective_πs' C h)] at hl'
end Products
end Maps
section Limit
/-!
## The limit case of the induction
We relate linear independence in `LocallyConstant (π C (ord I · < o')) ℤ` with linear independence
in `LocallyConstant C ℤ`, where `contained C o` and `o' < o`.
When `o` is a limit ordinal, we prove that the good products in `LocallyConstant C ℤ` are linearly
independent if and only if a certain directed union is linearly independent. Each term in this
directed union is in bijection with the good products w.r.t. `π C (ord I · < o')` for an ordinal
`o' < o`, and these are linearly independent by the inductive hypothesis.
### Main definitions
* `GoodProducts.smaller` is the image of good products coming from a smaller ordinal.
* `GoodProducts.range_equiv`: The image of the `GoodProducts` in `C` is equivalent to the union of
`smaller C o'` over all ordinals `o' < o`.
### Main results
* `Products.limitOrdinal`: for `o` a limit ordinal such that `contained C o`, a product `l` is good
w.r.t. `C` iff it there exists an ordinal `o' < o` such that `l` is good w.r.t.
`π C (ord I · < o')`.
* `GoodProducts.linearIndependent_iff_union_smaller` is the result mentioned above, that the good
products are linearly independent iff a directed union is.
-/
namespace GoodProducts
/--
The image of the `GoodProducts` for `π C (ord I · < o)` in `LocallyConstant C ℤ`. The name `smaller`
refers to the setting in which we will use this, when we are mapping in `GoodProducts` from a
smaller set, i.e. when `o` is a smaller ordinal than the one `C` is "contained" in.
-/
def smaller (o : Ordinal) : Set (LocallyConstant C ℤ) :=
(πs C o) '' (range (π C (ord I · < o)))
/--
The map from the image of the `GoodProducts` in `LocallyConstant (π C (ord I · < o)) ℤ` to
`smaller C o`
-/
noncomputable
def range_equiv_smaller_toFun (o : Ordinal) (x : range (π C (ord I · < o))) : smaller C o :=
⟨πs C o ↑x, x.val, x.property, rfl⟩
theorem range_equiv_smaller_toFun_bijective (o : Ordinal) :
Function.Bijective (range_equiv_smaller_toFun C o) := by
dsimp (config := { unfoldPartialApp := true }) [range_equiv_smaller_toFun]
refine ⟨fun a b hab ↦ ?_, fun ⟨a, b, hb⟩ ↦ ?_⟩
· ext1
simp only [Subtype.mk.injEq] at hab
exact injective_πs C o hab
· use ⟨b, hb.1⟩
simpa only [Subtype.mk.injEq] using hb.2
/--
The equivalence from the image of the `GoodProducts` in `LocallyConstant (π C (ord I · < o)) ℤ` to
`smaller C o`
-/
noncomputable
def range_equiv_smaller (o : Ordinal) : range (π C (ord I · < o)) ≃ smaller C o :=
Equiv.ofBijective (range_equiv_smaller_toFun C o) (range_equiv_smaller_toFun_bijective C o)
theorem smaller_factorization (o : Ordinal) :
(fun (p : smaller C o) ↦ p.1) ∘ (range_equiv_smaller C o).toFun =
(πs C o) ∘ (fun (p : range (π C (ord I · < o))) ↦ p.1) := by rfl
theorem linearIndependent_iff_smaller (o : Ordinal) :
LinearIndependent ℤ (GoodProducts.eval (π C (ord I · < o))) ↔
LinearIndependent ℤ (fun (p : smaller C o) ↦ p.1) := by
rw [GoodProducts.linearIndependent_iff_range,
← LinearMap.linearIndependent_iff (πs C o)
(LinearMap.ker_eq_bot_of_injective (injective_πs _ _)), ← smaller_factorization C o]
exact linearIndependent_equiv _
theorem smaller_mono {o₁ o₂ : Ordinal} (h : o₁ ≤ o₂) : smaller C o₁ ⊆ smaller C o₂ := by
rintro f ⟨g, hg, rfl⟩
simp only [smaller, Set.mem_image]
use πs' C h g
obtain ⟨⟨l, gl⟩, rfl⟩ := hg
refine ⟨?_, ?_⟩
· use ⟨l, Products.isGood_mono C h gl⟩
ext x
rw [eval, ← Products.eval_πs' _ h (Products.prop_of_isGood C _ gl), eval]
· rw [← LocallyConstant.coe_inj, coe_πs C o₂, ← LocallyConstant.toFun_eq_coe, coe_πs',
Function.comp.assoc, projRestricts_comp_projRestrict C _, coe_πs]
rfl
end GoodProducts
variable {o : Ordinal} (ho : o.IsLimit) (hsC : contained C o)
theorem Products.limitOrdinal (l : Products I) : l.isGood (π C (ord I · < o)) ↔
∃ (o' : Ordinal), o' < o ∧ l.isGood (π C (ord I · < o')) := by
refine ⟨fun h ↦ ?_, fun ⟨o', ⟨ho', hl⟩⟩ ↦ isGood_mono C (le_of_lt ho') hl⟩
use Finset.sup l.val.toFinset (fun a ↦ Order.succ (ord I a))
have ha : ⊥ < o := by rw [Ordinal.bot_eq_zero, Ordinal.pos_iff_ne_zero]; exact ho.1
have hslt : Finset.sup l.val.toFinset (fun a ↦ Order.succ (ord I a)) < o := by
simp only [Finset.sup_lt_iff ha, List.mem_toFinset]
exact fun b hb ↦ ho.2 _ (prop_of_isGood C (ord I · < o) h b hb)
refine ⟨hslt, fun he ↦ h ?_⟩
have hlt : ∀ i ∈ l.val, ord I i < Finset.sup l.val.toFinset (fun a ↦ Order.succ (ord I a)) := by
intro i hi
simp only [Finset.lt_sup_iff, List.mem_toFinset, Order.lt_succ_iff]
exact ⟨i, hi, le_rfl⟩
rwa [eval_πs_image' C (le_of_lt hslt) hlt, ← eval_πs' C (le_of_lt hslt) hlt,
Submodule.apply_mem_span_image_iff_mem_span (injective_πs' C _)]
theorem GoodProducts.union : range C = ⋃ (e : {o' // o' < o}), (smaller C e.val) := by
ext p
simp only [smaller, range, Set.mem_iUnion, Set.mem_image, Set.mem_range, Subtype.exists]
refine ⟨fun hp ↦ ?_, fun hp ↦ ?_⟩
· obtain ⟨l, hl, rfl⟩ := hp
rw [contained_eq_proj C o hsC, Products.limitOrdinal C ho] at hl
obtain ⟨o', ho'⟩ := hl
refine ⟨o', ho'.1, eval (π C (ord I · < o')) ⟨l, ho'.2⟩, ⟨l, ho'.2, rfl⟩, ?_⟩
exact Products.eval_πs C (Products.prop_of_isGood C _ ho'.2)
· obtain ⟨o', h, _, ⟨l, hl, rfl⟩, rfl⟩ := hp
refine ⟨l, ?_, (Products.eval_πs C (Products.prop_of_isGood C _ hl)).symm⟩
rw [contained_eq_proj C o hsC]
exact Products.isGood_mono C (le_of_lt h) hl
/--
The image of the `GoodProducts` in `C` is equivalent to the union of `smaller C o'` over all
ordinals `o' < o`.
-/
def GoodProducts.range_equiv : range C ≃ ⋃ (e : {o' // o' < o}), (smaller C e.val) :=
Equiv.Set.ofEq (union C ho hsC)
theorem GoodProducts.range_equiv_factorization :
(fun (p : ⋃ (e : {o' // o' < o}), (smaller C e.val)) ↦ p.1) ∘ (range_equiv C ho hsC).toFun =
(fun (p : range C) ↦ (p.1 : LocallyConstant C ℤ)) := rfl
theorem GoodProducts.linearIndependent_iff_union_smaller {o : Ordinal} (ho : o.IsLimit)
(hsC : contained C o) : LinearIndependent ℤ (GoodProducts.eval C) ↔
LinearIndependent ℤ (fun (p : ⋃ (e : {o' // o' < o}), (smaller C e.val)) ↦ p.1) := by
rw [GoodProducts.linearIndependent_iff_range, ← range_equiv_factorization C ho hsC]
exact linearIndependent_equiv (range_equiv C ho hsC)
end Limit
section Successor
/-!
## The successor case in the induction
Here we assume that `o` is an ordinal such that `contained C (o+1)` and `o < I`. The element in `I`
corresponding to `o` is called `term I ho`, but in this informal docstring we refer to it simply as
`o`.
This section follows the proof in [scholze2019condensed] quite closely. A translation of the
notation there is as follows:
```
[scholze2019condensed] | This file
`S₀` |`C0`
`S₁` |`C1`
`\overline{S}` |`π C (ord I · < o)
`\overline{S}'` |`C'`
The left map in the exact sequence |`πs`
The right map in the exact sequence |`Linear_CC'`
```
When comparing the proof of the successor case in Theorem 5.4 in [scholze2019condensed] with this
proof, one should read the phrase "is a basis" as "is linearly independent". Also, the short exact
sequence in [scholze2019condensed] is only proved to be left exact here (indeed, that is enough
since we are only proving linear independence).
This section is split into two sections. The first one, `ExactSequence` defines the left exact
sequence mentioned in the previous paragraph (see `succ_mono` and `succ_exact`). It corresponds to
the penultimate paragraph of the proof in [scholze2019condensed]. The second one, `GoodProducts`
corresponds to the last paragraph in the proof in [scholze2019condensed].
### Main definitions
The main definitions in the section `ExactSequence` are all just notation explained in the table
above.
The main definitions in the section `GoodProducts` are as follows:
* `MaxProducts`: the set of good products that contain the ordinal `o` (since we have
`contained C (o+1)`, these all start with `o`).
* `GoodProducts.sum_equiv`: the equivalence between `GoodProducts C` and the disjoint union of
`MaxProducts C` and `GoodProducts (π C (ord I · < o))`.
### Main results
* The main results in the section `ExactSequence` are `succ_mono` and `succ_exact` which together
say that the secuence given by `πs` and `Linear_CC'` is left exact:
```
f g
0 --→ LocallyConstant (π C (ord I · < o)) ℤ --→ LocallyConstant C ℤ --→ LocallyConstant C' ℤ
```
where `f` is `πs` and `g` is `Linear_CC'`.
The main results in the section `GoodProducts` are as follows:
* `Products.max_eq_eval` says that the linear map on the right in the exact sequence, i.e.
`Linear_CC'`, takes the evaluation of a term of `MaxProducts` to the evaluation of the
corresponding list with the leading `o` removed.
* `GoodProducts.maxTail_isGood` says that removing the leading `o` from a term of `MaxProducts C`
yields a list which `isGood` with respect to `C'`.
-/
variable {o : Ordinal} (hC : IsClosed C) (hsC : contained C (Order.succ o))
(ho : o < Ordinal.type (·<· : I → I → Prop))
section ExactSequence
/-- The subset of `C` consisting of those elements whose `o`-th entry is `false`. -/
def C0 := C ∩ {f | f (term I ho) = false}
/-- The subset of `C` consisting of those elements whose `o`-th entry is `true`. -/
def C1 := C ∩ {f | f (term I ho) = true}
theorem isClosed_C0 : IsClosed (C0 C ho) := by
refine hC.inter ?_
have h : Continuous (fun (f : I → Bool) ↦ f (term I ho)) := continuous_apply (term I ho)
exact IsClosed.preimage h (t := {false}) (isClosed_discrete _)
theorem isClosed_C1 : IsClosed (C1 C ho) := by
refine hC.inter ?_
have h : Continuous (fun (f : I → Bool) ↦ f (term I ho)) := continuous_apply (term I ho)
exact IsClosed.preimage h (t := {true}) (isClosed_discrete _)
theorem contained_C1 : contained (π (C1 C ho) (ord I · < o)) o :=
contained_proj _ _
theorem union_C0C1_eq : (C0 C ho) ∪ (C1 C ho) = C := by
ext x
simp only [C0, C1, Set.mem_union, Set.mem_inter_iff, Set.mem_setOf_eq,
← and_or_left, and_iff_left_iff_imp, Bool.dichotomy (x (term I ho)), implies_true]
/--
The intersection of `C0` and the projection of `C1`. We will apply the inductive hypothesis to
this set.
-/
def C' := C0 C ho ∩ π (C1 C ho) (ord I · < o)
theorem isClosed_C' : IsClosed (C' C ho) :=
IsClosed.inter (isClosed_C0 _ hC _) (isClosed_proj _ _ (isClosed_C1 _ hC _))
theorem contained_C' : contained (C' C ho) o := fun f hf i hi ↦ contained_C1 C ho f hf.2 i hi
variable (o)
/-- Swapping the `o`-th coordinate to `true`. -/
noncomputable
def SwapTrue : (I → Bool) → I → Bool :=
fun f i ↦ if ord I i = o then true else f i
theorem continuous_swapTrue :
Continuous (SwapTrue o : (I → Bool) → I → Bool) := by
dsimp (config := { unfoldPartialApp := true }) [SwapTrue]
apply continuous_pi
intro i
apply Continuous.comp'
· apply continuous_bot
· apply continuous_apply
variable {o}
theorem swapTrue_mem_C1 (f : π (C1 C ho) (ord I · < o)) :
SwapTrue o f.val ∈ C1 C ho := by
obtain ⟨f, g, hg, rfl⟩ := f
convert hg
dsimp (config := { unfoldPartialApp := true }) [SwapTrue]
ext i
split_ifs with h
· rw [ord_term ho] at h
simpa only [← h] using hg.2.symm
· simp only [Proj, ite_eq_left_iff, not_lt, @eq_comm _ false, ← Bool.not_eq_true]
specialize hsC g hg.1 i
intro h'
contrapose! hsC
exact ⟨hsC, Order.succ_le_of_lt (h'.lt_of_ne' h)⟩
/-- The first way to map `C'` into `C`. -/
def CC'₀ : C' C ho → C := fun g ↦ ⟨g.val,g.prop.1.1⟩
/-- The second way to map `C'` into `C`. -/
noncomputable
def CC'₁ : C' C ho → C :=
fun g ↦ ⟨SwapTrue o g.val, (swapTrue_mem_C1 C hsC ho ⟨g.val,g.prop.2⟩).1⟩
theorem continuous_CC'₀ : Continuous (CC'₀ C ho) := Continuous.subtype_mk continuous_subtype_val _
theorem continuous_CC'₁ : Continuous (CC'₁ C hsC ho) :=
Continuous.subtype_mk (Continuous.comp (continuous_swapTrue o) continuous_subtype_val) _
/-- The `ℤ`-linear map induced by precomposing with `CC'₀` -/
noncomputable
def Linear_CC'₀ : LocallyConstant C ℤ →ₗ[ℤ] LocallyConstant (C' C ho) ℤ :=
LocallyConstant.comapₗ ℤ ⟨(CC'₀ C ho), (continuous_CC'₀ C ho)⟩
/-- The `ℤ`-linear map induced by precomposing with `CC'₁` -/
noncomputable
def Linear_CC'₁ : LocallyConstant C ℤ →ₗ[ℤ] LocallyConstant (C' C ho) ℤ :=
LocallyConstant.comapₗ ℤ ⟨(CC'₁ C hsC ho), (continuous_CC'₁ C hsC ho)⟩
/-- The difference between `Linear_CC'₁` and `Linear_CC'₀`. -/
noncomputable
def Linear_CC' : LocallyConstant C ℤ →ₗ[ℤ] LocallyConstant (C' C ho) ℤ :=
Linear_CC'₁ C hsC ho - Linear_CC'₀ C ho
theorem CC_comp_zero : ∀ y, (Linear_CC' C hsC ho) ((πs C o) y) = 0 := by
intro y
ext x
dsimp [Linear_CC', Linear_CC'₀, Linear_CC'₁, LocallyConstant.sub_apply]
simp only [continuous_CC'₀, continuous_CC'₁, LocallyConstant.coe_comap, continuous_projRestrict,
Function.comp_apply, sub_eq_zero]
congr 1
ext i
dsimp [CC'₀, CC'₁, ProjRestrict, Proj]
apply if_ctx_congr Iff.rfl _ (fun _ ↦ rfl)
simp only [SwapTrue, ite_eq_right_iff]
intro h₁ h₂
exact (h₁.ne h₂).elim
theorem C0_projOrd {x : I → Bool} (hx : x ∈ C0 C ho) : Proj (ord I · < o) x = x := by
ext i
simp only [Proj, Set.mem_setOf, ite_eq_left_iff, not_lt]
intro hi
rw [le_iff_lt_or_eq] at hi
cases' hi with hi hi
· specialize hsC x hx.1 i
rw [← not_imp_not] at hsC
simp only [not_lt, Bool.not_eq_true, Order.succ_le_iff] at hsC
exact (hsC hi).symm
· simp only [C0, Set.mem_inter_iff, Set.mem_setOf_eq] at hx
rw [eq_comm, ord_term ho] at hi
rw [← hx.2, hi]
theorem C1_projOrd {x : I → Bool} (hx : x ∈ C1 C ho) : SwapTrue o (Proj (ord I · < o) x) = x := by
ext i
dsimp [SwapTrue, Proj]
split_ifs with hi h
· rw [ord_term ho] at hi
rw [← hx.2, hi]
· rfl
· simp only [not_lt] at h
have h' : o < ord I i := lt_of_le_of_ne h (Ne.symm hi)
specialize hsC x hx.1 i
rw [← not_imp_not] at hsC
simp only [not_lt, Bool.not_eq_true, Order.succ_le_iff] at hsC
exact (hsC h').symm
open scoped Classical in
| Mathlib/Topology/Category/Profinite/Nobeling.lean | 1,304 | 1,337 | theorem CC_exact {f : LocallyConstant C ℤ} (hf : Linear_CC' C hsC ho f = 0) :
∃ y, πs C o y = f := by |
dsimp [Linear_CC', Linear_CC'₀, Linear_CC'₁] at hf
simp only [sub_eq_zero, ← LocallyConstant.coe_inj, LocallyConstant.coe_comap,
continuous_CC'₀, continuous_CC'₁] at hf
let C₀C : C0 C ho → C := fun x ↦ ⟨x.val, x.prop.1⟩
have h₀ : Continuous C₀C := Continuous.subtype_mk continuous_induced_dom _
let C₁C : π (C1 C ho) (ord I · < o) → C :=
fun x ↦ ⟨SwapTrue o x.val, (swapTrue_mem_C1 C hsC ho x).1⟩
have h₁ : Continuous C₁C := Continuous.subtype_mk
((continuous_swapTrue o).comp continuous_subtype_val) _
refine ⟨LocallyConstant.piecewise' ?_ (isClosed_C0 C hC ho)
(isClosed_proj _ o (isClosed_C1 C hC ho)) (f.comap ⟨C₀C, h₀⟩) (f.comap ⟨C₁C, h₁⟩) ?_, ?_⟩
· rintro _ ⟨y, hyC, rfl⟩
simp only [Set.mem_union, Set.mem_setOf_eq, Set.mem_univ, iff_true]
rw [← union_C0C1_eq C ho] at hyC
refine hyC.imp (fun hyC ↦ ?_) (fun hyC ↦ ⟨y, hyC, rfl⟩)
rwa [C0_projOrd C hsC ho hyC]
· intro x hx
simpa only [h₀, h₁, LocallyConstant.coe_comap] using (congrFun hf ⟨x, hx⟩).symm
· ext ⟨x, hx⟩
rw [← union_C0C1_eq C ho] at hx
cases' hx with hx₀ hx₁
· have hx₀' : ProjRestrict C (ord I · < o) ⟨x, hx⟩ = x := by
simpa only [ProjRestrict, Set.MapsTo.val_restrict_apply] using C0_projOrd C hsC ho hx₀
simp only [πs_apply_apply, hx₀', hx₀, LocallyConstant.piecewise'_apply_left,
LocallyConstant.coe_comap, ContinuousMap.coe_mk, Function.comp_apply]
· have hx₁' : (ProjRestrict C (ord I · < o) ⟨x, hx⟩).val ∈ π (C1 C ho) (ord I · < o) := by
simpa only [ProjRestrict, Set.MapsTo.val_restrict_apply] using ⟨x, hx₁, rfl⟩
simp only [C₁C, πs_apply_apply, continuous_projRestrict, LocallyConstant.coe_comap,
Function.comp_apply, hx₁', LocallyConstant.piecewise'_apply_right, h₁]
congr
simp only [ContinuousMap.coe_mk, Subtype.mk.injEq]
exact C1_projOrd C hsC ho hx₁
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne, Yury Kudryashov
-/
import Mathlib.Data.Rat.Sqrt
import Mathlib.Data.Real.Sqrt
import Mathlib.RingTheory.Algebraic
import Mathlib.RingTheory.Int.Basic
import Mathlib.Tactic.IntervalCases
#align_import data.real.irrational from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d"
/-!
# Irrational real numbers
In this file we define a predicate `Irrational` on `ℝ`, prove that the `n`-th root of an integer
number is irrational if it is not integer, and that `sqrt q` is irrational if and only if
`Rat.sqrt q * Rat.sqrt q ≠ q ∧ 0 ≤ q`.
We also provide dot-style constructors like `Irrational.add_rat`, `Irrational.rat_sub` etc.
-/
open Rat Real multiplicity
/-- A real number is irrational if it is not equal to any rational number. -/
def Irrational (x : ℝ) :=
x ∉ Set.range ((↑) : ℚ → ℝ)
#align irrational Irrational
theorem irrational_iff_ne_rational (x : ℝ) : Irrational x ↔ ∀ a b : ℤ, x ≠ a / b := by
simp only [Irrational, Rat.forall, cast_mk, not_exists, Set.mem_range, cast_intCast, cast_div,
eq_comm]
#align irrational_iff_ne_rational irrational_iff_ne_rational
/-- A transcendental real number is irrational. -/
theorem Transcendental.irrational {r : ℝ} (tr : Transcendental ℚ r) : Irrational r := by
rintro ⟨a, rfl⟩
exact tr (isAlgebraic_algebraMap a)
#align transcendental.irrational Transcendental.irrational
/-!
### Irrationality of roots of integer and rational numbers
-/
/-- If `x^n`, `n > 0`, is integer and is not the `n`-th power of an integer, then
`x` is irrational. -/
theorem irrational_nrt_of_notint_nrt {x : ℝ} (n : ℕ) (m : ℤ) (hxr : x ^ n = m)
(hv : ¬∃ y : ℤ, x = y) (hnpos : 0 < n) : Irrational x := by
rintro ⟨⟨N, D, P, C⟩, rfl⟩
rw [← cast_pow] at hxr
have c1 : ((D : ℤ) : ℝ) ≠ 0 := by
rw [Int.cast_ne_zero, Int.natCast_ne_zero]
exact P
have c2 : ((D : ℤ) : ℝ) ^ n ≠ 0 := pow_ne_zero _ c1
rw [mk'_eq_divInt, cast_pow, cast_mk, div_pow, div_eq_iff_mul_eq c2, ← Int.cast_pow,
← Int.cast_pow, ← Int.cast_mul, Int.cast_inj] at hxr
have hdivn : (D : ℤ) ^ n ∣ N ^ n := Dvd.intro_left m hxr
rw [← Int.dvd_natAbs, ← Int.natCast_pow, Int.natCast_dvd_natCast, Int.natAbs_pow,
Nat.pow_dvd_pow_iff hnpos.ne'] at hdivn
obtain rfl : D = 1 := by rw [← Nat.gcd_eq_right hdivn, C.gcd_eq_one]
refine hv ⟨N, ?_⟩
rw [mk'_eq_divInt, Int.ofNat_one, divInt_one, cast_intCast]
#align irrational_nrt_of_notint_nrt irrational_nrt_of_notint_nrt
/-- If `x^n = m` is an integer and `n` does not divide the `multiplicity p m`, then `x`
is irrational. -/
theorem irrational_nrt_of_n_not_dvd_multiplicity {x : ℝ} (n : ℕ) {m : ℤ} (hm : m ≠ 0) (p : ℕ)
[hp : Fact p.Prime] (hxr : x ^ n = m)
(hv : (multiplicity (p : ℤ) m).get (finite_int_iff.2 ⟨hp.1.ne_one, hm⟩) % n ≠ 0) :
Irrational x := by
rcases Nat.eq_zero_or_pos n with (rfl | hnpos)
· rw [eq_comm, pow_zero, ← Int.cast_one, Int.cast_inj] at hxr
simp [hxr, multiplicity.one_right (mt isUnit_iff_dvd_one.1
(mt Int.natCast_dvd_natCast.1 hp.1.not_dvd_one)), Nat.zero_mod] at hv
refine irrational_nrt_of_notint_nrt _ _ hxr ?_ hnpos
rintro ⟨y, rfl⟩
rw [← Int.cast_pow, Int.cast_inj] at hxr
subst m
have : y ≠ 0 := by rintro rfl; rw [zero_pow hnpos.ne'] at hm; exact hm rfl
erw [multiplicity.pow' (Nat.prime_iff_prime_int.1 hp.1) (finite_int_iff.2 ⟨hp.1.ne_one, this⟩),
Nat.mul_mod_right] at hv
exact hv rfl
#align irrational_nrt_of_n_not_dvd_multiplicity irrational_nrt_of_n_not_dvd_multiplicity
theorem irrational_sqrt_of_multiplicity_odd (m : ℤ) (hm : 0 < m) (p : ℕ) [hp : Fact p.Prime]
(Hpv :
(multiplicity (p : ℤ) m).get (finite_int_iff.2 ⟨hp.1.ne_one, (ne_of_lt hm).symm⟩) % 2 = 1) :
Irrational (√m) :=
@irrational_nrt_of_n_not_dvd_multiplicity _ 2 _ (Ne.symm (ne_of_lt hm)) p hp
(sq_sqrt (Int.cast_nonneg.2 <| le_of_lt hm)) (by rw [Hpv]; exact one_ne_zero)
#align irrational_sqrt_of_multiplicity_odd irrational_sqrt_of_multiplicity_odd
theorem Nat.Prime.irrational_sqrt {p : ℕ} (hp : Nat.Prime p) : Irrational (√p) :=
@irrational_sqrt_of_multiplicity_odd p (Int.natCast_pos.2 hp.pos) p ⟨hp⟩ <| by
simp [multiplicity.multiplicity_self
(mt isUnit_iff_dvd_one.1 (mt Int.natCast_dvd_natCast.1 hp.not_dvd_one))]
#align nat.prime.irrational_sqrt Nat.Prime.irrational_sqrt
/-- **Irrationality of the Square Root of 2** -/
theorem irrational_sqrt_two : Irrational (√2) := by
simpa using Nat.prime_two.irrational_sqrt
#align irrational_sqrt_two irrational_sqrt_two
theorem irrational_sqrt_rat_iff (q : ℚ) :
Irrational (√q) ↔ Rat.sqrt q * Rat.sqrt q ≠ q ∧ 0 ≤ q :=
if H1 : Rat.sqrt q * Rat.sqrt q = q then
iff_of_false
(not_not_intro
⟨Rat.sqrt q, by
rw [← H1, cast_mul, sqrt_mul_self (cast_nonneg.2 <| Rat.sqrt_nonneg q), sqrt_eq,
abs_of_nonneg (Rat.sqrt_nonneg q)]⟩)
fun h => h.1 H1
else
if H2 : 0 ≤ q then
iff_of_true
(fun ⟨r, hr⟩ =>
H1 <|
(exists_mul_self _).1
⟨r, by
rwa [eq_comm, sqrt_eq_iff_mul_self_eq (cast_nonneg.2 H2), ← cast_mul,
Rat.cast_inj] at hr
rw [← hr]
exact Real.sqrt_nonneg _⟩)
⟨H1, H2⟩
else
iff_of_false
(not_not_intro
⟨0, by
rw [cast_zero]
exact (sqrt_eq_zero_of_nonpos (Rat.cast_nonpos.2 <| le_of_not_le H2)).symm⟩)
fun h => H2 h.2
#align irrational_sqrt_rat_iff irrational_sqrt_rat_iff
instance (q : ℚ) : Decidable (Irrational (√q)) :=
decidable_of_iff' _ (irrational_sqrt_rat_iff q)
/-!
### Dot-style operations on `Irrational`
#### Coercion of a rational/integer/natural number is not irrational
-/
namespace Irrational
variable {x : ℝ}
/-!
#### Irrational number is not equal to a rational/integer/natural number
-/
theorem ne_rat (h : Irrational x) (q : ℚ) : x ≠ q := fun hq => h ⟨q, hq.symm⟩
#align irrational.ne_rat Irrational.ne_rat
theorem ne_int (h : Irrational x) (m : ℤ) : x ≠ m := by
rw [← Rat.cast_intCast]
exact h.ne_rat _
#align irrational.ne_int Irrational.ne_int
theorem ne_nat (h : Irrational x) (m : ℕ) : x ≠ m :=
h.ne_int m
#align irrational.ne_nat Irrational.ne_nat
theorem ne_zero (h : Irrational x) : x ≠ 0 := mod_cast h.ne_nat 0
#align irrational.ne_zero Irrational.ne_zero
theorem ne_one (h : Irrational x) : x ≠ 1 := by simpa only [Nat.cast_one] using h.ne_nat 1
#align irrational.ne_one Irrational.ne_one
end Irrational
@[simp]
theorem Rat.not_irrational (q : ℚ) : ¬Irrational q := fun h => h ⟨q, rfl⟩
#align rat.not_irrational Rat.not_irrational
@[simp]
theorem Int.not_irrational (m : ℤ) : ¬Irrational m := fun h => h.ne_int m rfl
#align int.not_irrational Int.not_irrational
@[simp]
theorem Nat.not_irrational (m : ℕ) : ¬Irrational m := fun h => h.ne_nat m rfl
#align nat.not_irrational Nat.not_irrational
namespace Irrational
variable (q : ℚ) {x y : ℝ}
/-!
#### Addition of rational/integer/natural numbers
-/
/-- If `x + y` is irrational, then at least one of `x` and `y` is irrational. -/
theorem add_cases : Irrational (x + y) → Irrational x ∨ Irrational y := by
delta Irrational
contrapose!
rintro ⟨⟨rx, rfl⟩, ⟨ry, rfl⟩⟩
exact ⟨rx + ry, cast_add rx ry⟩
#align irrational.add_cases Irrational.add_cases
theorem of_rat_add (h : Irrational (q + x)) : Irrational x :=
h.add_cases.resolve_left q.not_irrational
#align irrational.of_rat_add Irrational.of_rat_add
theorem rat_add (h : Irrational x) : Irrational (q + x) :=
of_rat_add (-q) <| by rwa [cast_neg, neg_add_cancel_left]
#align irrational.rat_add Irrational.rat_add
theorem of_add_rat : Irrational (x + q) → Irrational x :=
add_comm (↑q) x ▸ of_rat_add q
#align irrational.of_add_rat Irrational.of_add_rat
theorem add_rat (h : Irrational x) : Irrational (x + q) :=
add_comm (↑q) x ▸ h.rat_add q
#align irrational.add_rat Irrational.add_rat
theorem of_int_add (m : ℤ) (h : Irrational (m + x)) : Irrational x := by
rw [← cast_intCast] at h
exact h.of_rat_add m
#align irrational.of_int_add Irrational.of_int_add
theorem of_add_int (m : ℤ) (h : Irrational (x + m)) : Irrational x :=
of_int_add m <| add_comm x m ▸ h
#align irrational.of_add_int Irrational.of_add_int
theorem int_add (h : Irrational x) (m : ℤ) : Irrational (m + x) := by
rw [← cast_intCast]
exact h.rat_add m
#align irrational.int_add Irrational.int_add
theorem add_int (h : Irrational x) (m : ℤ) : Irrational (x + m) :=
add_comm (↑m) x ▸ h.int_add m
#align irrational.add_int Irrational.add_int
theorem of_nat_add (m : ℕ) (h : Irrational (m + x)) : Irrational x :=
h.of_int_add m
#align irrational.of_nat_add Irrational.of_nat_add
theorem of_add_nat (m : ℕ) (h : Irrational (x + m)) : Irrational x :=
h.of_add_int m
#align irrational.of_add_nat Irrational.of_add_nat
theorem nat_add (h : Irrational x) (m : ℕ) : Irrational (m + x) :=
h.int_add m
#align irrational.nat_add Irrational.nat_add
theorem add_nat (h : Irrational x) (m : ℕ) : Irrational (x + m) :=
h.add_int m
#align irrational.add_nat Irrational.add_nat
/-!
#### Negation
-/
theorem of_neg (h : Irrational (-x)) : Irrational x := fun ⟨q, hx⟩ => h ⟨-q, by rw [cast_neg, hx]⟩
#align irrational.of_neg Irrational.of_neg
protected theorem neg (h : Irrational x) : Irrational (-x) :=
of_neg <| by rwa [neg_neg]
#align irrational.neg Irrational.neg
/-!
#### Subtraction of rational/integer/natural numbers
-/
| Mathlib/Data/Real/Irrational.lean | 272 | 273 | theorem sub_rat (h : Irrational x) : Irrational (x - q) := by |
simpa only [sub_eq_add_neg, cast_neg] using h.add_rat (-q)
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Order.Monoid.WithTop
#align_import data.nat.with_bot from "leanprover-community/mathlib"@"966e0cf0685c9cedf8a3283ac69eef4d5f2eaca2"
/-!
# `WithBot ℕ`
Lemmas about the type of natural numbers with a bottom element adjoined.
-/
namespace Nat
namespace WithBot
instance : WellFoundedRelation (WithBot ℕ) where
rel := (· < ·)
wf := IsWellFounded.wf
| Mathlib/Data/Nat/WithBot.lean | 27 | 32 | theorem add_eq_zero_iff {n m : WithBot ℕ} : n + m = 0 ↔ n = 0 ∧ m = 0 := by |
rcases n, m with ⟨_ | _, _ | _⟩
repeat (· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.1⟩)
· exact ⟨fun h => Option.noConfusion h, fun h => Option.noConfusion h.2⟩
repeat erw [WithBot.coe_eq_coe]
exact add_eq_zero_iff' (zero_le _) (zero_le _)
|
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Algebra.BigOperators.Option
import Mathlib.Analysis.BoxIntegral.Box.Basic
import Mathlib.Data.Set.Pairwise.Lattice
#align_import analysis.box_integral.partition.basic from "leanprover-community/mathlib"@"84dc0bd6619acaea625086d6f53cb35cdd554219"
/-!
# Partitions of rectangular boxes in `ℝⁿ`
In this file we define (pre)partitions of rectangular boxes in `ℝⁿ`. A partition of a box `I` in
`ℝⁿ` (see `BoxIntegral.Prepartition` and `BoxIntegral.Prepartition.IsPartition`) is a finite set
of pairwise disjoint boxes such that their union is exactly `I`. We use `boxes : Finset (Box ι)` to
store the set of boxes.
Many lemmas about box integrals deal with pairwise disjoint collections of subboxes, so we define a
structure `BoxIntegral.Prepartition (I : BoxIntegral.Box ι)` that stores a collection of boxes
such that
* each box `J ∈ boxes` is a subbox of `I`;
* the boxes are pairwise disjoint as sets in `ℝⁿ`.
Then we define a predicate `BoxIntegral.Prepartition.IsPartition`; `π.IsPartition` means that the
boxes of `π` actually cover the whole `I`. We also define some operations on prepartitions:
* `BoxIntegral.Prepartition.biUnion`: split each box of a partition into smaller boxes;
* `BoxIntegral.Prepartition.restrict`: restrict a partition to a smaller box.
We also define a `SemilatticeInf` structure on `BoxIntegral.Prepartition I` for all
`I : BoxIntegral.Box ι`.
## Tags
rectangular box, partition
-/
open Set Finset Function
open scoped Classical
open NNReal
noncomputable section
namespace BoxIntegral
variable {ι : Type*}
/-- A prepartition of `I : BoxIntegral.Box ι` is a finite set of pairwise disjoint subboxes of
`I`. -/
structure Prepartition (I : Box ι) where
/-- The underlying set of boxes -/
boxes : Finset (Box ι)
/-- Each box is a sub-box of `I` -/
le_of_mem' : ∀ J ∈ boxes, J ≤ I
/-- The boxes in a prepartition are pairwise disjoint. -/
pairwiseDisjoint : Set.Pairwise (↑boxes) (Disjoint on ((↑) : Box ι → Set (ι → ℝ)))
#align box_integral.prepartition BoxIntegral.Prepartition
namespace Prepartition
variable {I J J₁ J₂ : Box ι} (π : Prepartition I) {π₁ π₂ : Prepartition I} {x : ι → ℝ}
instance : Membership (Box ι) (Prepartition I) :=
⟨fun J π => J ∈ π.boxes⟩
@[simp]
theorem mem_boxes : J ∈ π.boxes ↔ J ∈ π := Iff.rfl
#align box_integral.prepartition.mem_boxes BoxIntegral.Prepartition.mem_boxes
@[simp]
theorem mem_mk {s h₁ h₂} : J ∈ (mk s h₁ h₂ : Prepartition I) ↔ J ∈ s := Iff.rfl
#align box_integral.prepartition.mem_mk BoxIntegral.Prepartition.mem_mk
theorem disjoint_coe_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (h : J₁ ≠ J₂) :
Disjoint (J₁ : Set (ι → ℝ)) J₂ :=
π.pairwiseDisjoint h₁ h₂ h
#align box_integral.prepartition.disjoint_coe_of_mem BoxIntegral.Prepartition.disjoint_coe_of_mem
theorem eq_of_mem_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hx₁ : x ∈ J₁) (hx₂ : x ∈ J₂) : J₁ = J₂ :=
by_contra fun H => (π.disjoint_coe_of_mem h₁ h₂ H).le_bot ⟨hx₁, hx₂⟩
#align box_integral.prepartition.eq_of_mem_of_mem BoxIntegral.Prepartition.eq_of_mem_of_mem
theorem eq_of_le_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle₁ : J ≤ J₁) (hle₂ : J ≤ J₂) : J₁ = J₂ :=
π.eq_of_mem_of_mem h₁ h₂ (hle₁ J.upper_mem) (hle₂ J.upper_mem)
#align box_integral.prepartition.eq_of_le_of_le BoxIntegral.Prepartition.eq_of_le_of_le
theorem eq_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle : J₁ ≤ J₂) : J₁ = J₂ :=
π.eq_of_le_of_le h₁ h₂ le_rfl hle
#align box_integral.prepartition.eq_of_le BoxIntegral.Prepartition.eq_of_le
theorem le_of_mem (hJ : J ∈ π) : J ≤ I :=
π.le_of_mem' J hJ
#align box_integral.prepartition.le_of_mem BoxIntegral.Prepartition.le_of_mem
theorem lower_le_lower (hJ : J ∈ π) : I.lower ≤ J.lower :=
Box.antitone_lower (π.le_of_mem hJ)
#align box_integral.prepartition.lower_le_lower BoxIntegral.Prepartition.lower_le_lower
theorem upper_le_upper (hJ : J ∈ π) : J.upper ≤ I.upper :=
Box.monotone_upper (π.le_of_mem hJ)
#align box_integral.prepartition.upper_le_upper BoxIntegral.Prepartition.upper_le_upper
theorem injective_boxes : Function.Injective (boxes : Prepartition I → Finset (Box ι)) := by
rintro ⟨s₁, h₁, h₁'⟩ ⟨s₂, h₂, h₂'⟩ (rfl : s₁ = s₂)
rfl
#align box_integral.prepartition.injective_boxes BoxIntegral.Prepartition.injective_boxes
@[ext]
theorem ext (h : ∀ J, J ∈ π₁ ↔ J ∈ π₂) : π₁ = π₂ :=
injective_boxes <| Finset.ext h
#align box_integral.prepartition.ext BoxIntegral.Prepartition.ext
/-- The singleton prepartition `{J}`, `J ≤ I`. -/
@[simps]
def single (I J : Box ι) (h : J ≤ I) : Prepartition I :=
⟨{J}, by simpa, by simp⟩
#align box_integral.prepartition.single BoxIntegral.Prepartition.single
@[simp]
theorem mem_single {J'} (h : J ≤ I) : J' ∈ single I J h ↔ J' = J :=
mem_singleton
#align box_integral.prepartition.mem_single BoxIntegral.Prepartition.mem_single
/-- We say that `π ≤ π'` if each box of `π` is a subbox of some box of `π'`. -/
instance : LE (Prepartition I) :=
⟨fun π π' => ∀ ⦃I⦄, I ∈ π → ∃ I' ∈ π', I ≤ I'⟩
instance partialOrder : PartialOrder (Prepartition I) where
le := (· ≤ ·)
le_refl π I hI := ⟨I, hI, le_rfl⟩
le_trans π₁ π₂ π₃ h₁₂ h₂₃ I₁ hI₁ :=
let ⟨I₂, hI₂, hI₁₂⟩ := h₁₂ hI₁
let ⟨I₃, hI₃, hI₂₃⟩ := h₂₃ hI₂
⟨I₃, hI₃, hI₁₂.trans hI₂₃⟩
le_antisymm := by
suffices ∀ {π₁ π₂ : Prepartition I}, π₁ ≤ π₂ → π₂ ≤ π₁ → π₁.boxes ⊆ π₂.boxes from
fun π₁ π₂ h₁ h₂ => injective_boxes (Subset.antisymm (this h₁ h₂) (this h₂ h₁))
intro π₁ π₂ h₁ h₂ J hJ
rcases h₁ hJ with ⟨J', hJ', hle⟩; rcases h₂ hJ' with ⟨J'', hJ'', hle'⟩
obtain rfl : J = J'' := π₁.eq_of_le hJ hJ'' (hle.trans hle')
obtain rfl : J' = J := le_antisymm ‹_› ‹_›
assumption
instance : OrderTop (Prepartition I) where
top := single I I le_rfl
le_top π J hJ := ⟨I, by simp, π.le_of_mem hJ⟩
instance : OrderBot (Prepartition I) where
bot := ⟨∅,
fun _ hJ => (Finset.not_mem_empty _ hJ).elim,
fun _ hJ => (Set.not_mem_empty _ <| Finset.coe_empty ▸ hJ).elim⟩
bot_le _ _ hJ := (Finset.not_mem_empty _ hJ).elim
instance : Inhabited (Prepartition I) := ⟨⊤⟩
theorem le_def : π₁ ≤ π₂ ↔ ∀ J ∈ π₁, ∃ J' ∈ π₂, J ≤ J' := Iff.rfl
#align box_integral.prepartition.le_def BoxIntegral.Prepartition.le_def
@[simp]
theorem mem_top : J ∈ (⊤ : Prepartition I) ↔ J = I :=
mem_singleton
#align box_integral.prepartition.mem_top BoxIntegral.Prepartition.mem_top
@[simp]
theorem top_boxes : (⊤ : Prepartition I).boxes = {I} := rfl
#align box_integral.prepartition.top_boxes BoxIntegral.Prepartition.top_boxes
@[simp]
theorem not_mem_bot : J ∉ (⊥ : Prepartition I) :=
Finset.not_mem_empty _
#align box_integral.prepartition.not_mem_bot BoxIntegral.Prepartition.not_mem_bot
@[simp]
theorem bot_boxes : (⊥ : Prepartition I).boxes = ∅ := rfl
#align box_integral.prepartition.bot_boxes BoxIntegral.Prepartition.bot_boxes
/-- An auxiliary lemma used to prove that the same point can't belong to more than
`2 ^ Fintype.card ι` closed boxes of a prepartition. -/
theorem injOn_setOf_mem_Icc_setOf_lower_eq (x : ι → ℝ) :
InjOn (fun J : Box ι => { i | J.lower i = x i }) { J | J ∈ π ∧ x ∈ Box.Icc J } := by
rintro J₁ ⟨h₁, hx₁⟩ J₂ ⟨h₂, hx₂⟩ (H : { i | J₁.lower i = x i } = { i | J₂.lower i = x i })
suffices ∀ i, (Ioc (J₁.lower i) (J₁.upper i) ∩ Ioc (J₂.lower i) (J₂.upper i)).Nonempty by
choose y hy₁ hy₂ using this
exact π.eq_of_mem_of_mem h₁ h₂ hy₁ hy₂
intro i
simp only [Set.ext_iff, mem_setOf] at H
rcases (hx₁.1 i).eq_or_lt with hi₁ | hi₁
· have hi₂ : J₂.lower i = x i := (H _).1 hi₁
have H₁ : x i < J₁.upper i := by simpa only [hi₁] using J₁.lower_lt_upper i
have H₂ : x i < J₂.upper i := by simpa only [hi₂] using J₂.lower_lt_upper i
rw [Ioc_inter_Ioc, hi₁, hi₂, sup_idem, Set.nonempty_Ioc]
exact lt_min H₁ H₂
· have hi₂ : J₂.lower i < x i := (hx₂.1 i).lt_of_ne (mt (H _).2 hi₁.ne)
exact ⟨x i, ⟨hi₁, hx₁.2 i⟩, ⟨hi₂, hx₂.2 i⟩⟩
#align box_integral.prepartition.inj_on_set_of_mem_Icc_set_of_lower_eq BoxIntegral.Prepartition.injOn_setOf_mem_Icc_setOf_lower_eq
/-- The set of boxes of a prepartition that contain `x` in their closures has cardinality
at most `2 ^ Fintype.card ι`. -/
theorem card_filter_mem_Icc_le [Fintype ι] (x : ι → ℝ) :
(π.boxes.filter fun J : Box ι => x ∈ Box.Icc J).card ≤ 2 ^ Fintype.card ι := by
rw [← Fintype.card_set]
refine Finset.card_le_card_of_inj_on (fun J : Box ι => { i | J.lower i = x i })
(fun _ _ => Finset.mem_univ _) ?_
simpa only [Finset.mem_filter] using π.injOn_setOf_mem_Icc_setOf_lower_eq x
#align box_integral.prepartition.card_filter_mem_Icc_le BoxIntegral.Prepartition.card_filter_mem_Icc_le
/-- Given a prepartition `π : BoxIntegral.Prepartition I`, `π.iUnion` is the part of `I` covered by
the boxes of `π`. -/
protected def iUnion : Set (ι → ℝ) :=
⋃ J ∈ π, ↑J
#align box_integral.prepartition.Union BoxIntegral.Prepartition.iUnion
theorem iUnion_def : π.iUnion = ⋃ J ∈ π, ↑J := rfl
#align box_integral.prepartition.Union_def BoxIntegral.Prepartition.iUnion_def
theorem iUnion_def' : π.iUnion = ⋃ J ∈ π.boxes, ↑J := rfl
#align box_integral.prepartition.Union_def' BoxIntegral.Prepartition.iUnion_def'
-- Porting note: Previous proof was `:= Set.mem_iUnion₂`
@[simp]
theorem mem_iUnion : x ∈ π.iUnion ↔ ∃ J ∈ π, x ∈ J := by
convert Set.mem_iUnion₂
rw [Box.mem_coe, exists_prop]
#align box_integral.prepartition.mem_Union BoxIntegral.Prepartition.mem_iUnion
@[simp]
theorem iUnion_single (h : J ≤ I) : (single I J h).iUnion = J := by simp [iUnion_def]
#align box_integral.prepartition.Union_single BoxIntegral.Prepartition.iUnion_single
@[simp]
theorem iUnion_top : (⊤ : Prepartition I).iUnion = I := by simp [Prepartition.iUnion]
#align box_integral.prepartition.Union_top BoxIntegral.Prepartition.iUnion_top
@[simp]
theorem iUnion_eq_empty : π₁.iUnion = ∅ ↔ π₁ = ⊥ := by
simp [← injective_boxes.eq_iff, Finset.ext_iff, Prepartition.iUnion, imp_false]
#align box_integral.prepartition.Union_eq_empty BoxIntegral.Prepartition.iUnion_eq_empty
@[simp]
theorem iUnion_bot : (⊥ : Prepartition I).iUnion = ∅ :=
iUnion_eq_empty.2 rfl
#align box_integral.prepartition.Union_bot BoxIntegral.Prepartition.iUnion_bot
theorem subset_iUnion (h : J ∈ π) : ↑J ⊆ π.iUnion :=
subset_biUnion_of_mem h
#align box_integral.prepartition.subset_Union BoxIntegral.Prepartition.subset_iUnion
theorem iUnion_subset : π.iUnion ⊆ I :=
iUnion₂_subset π.le_of_mem'
#align box_integral.prepartition.Union_subset BoxIntegral.Prepartition.iUnion_subset
@[mono]
theorem iUnion_mono (h : π₁ ≤ π₂) : π₁.iUnion ⊆ π₂.iUnion := fun _ hx =>
let ⟨_, hJ₁, hx⟩ := π₁.mem_iUnion.1 hx
let ⟨J₂, hJ₂, hle⟩ := h hJ₁
π₂.mem_iUnion.2 ⟨J₂, hJ₂, hle hx⟩
#align box_integral.prepartition.Union_mono BoxIntegral.Prepartition.iUnion_mono
theorem disjoint_boxes_of_disjoint_iUnion (h : Disjoint π₁.iUnion π₂.iUnion) :
Disjoint π₁.boxes π₂.boxes :=
Finset.disjoint_left.2 fun J h₁ h₂ =>
Disjoint.le_bot (h.mono (π₁.subset_iUnion h₁) (π₂.subset_iUnion h₂)) ⟨J.upper_mem, J.upper_mem⟩
#align box_integral.prepartition.disjoint_boxes_of_disjoint_Union BoxIntegral.Prepartition.disjoint_boxes_of_disjoint_iUnion
theorem le_iff_nonempty_imp_le_and_iUnion_subset :
π₁ ≤ π₂ ↔
(∀ J ∈ π₁, ∀ J' ∈ π₂, (J ∩ J' : Set (ι → ℝ)).Nonempty → J ≤ J') ∧ π₁.iUnion ⊆ π₂.iUnion := by
constructor
· refine fun H => ⟨fun J hJ J' hJ' Hne => ?_, iUnion_mono H⟩
rcases H hJ with ⟨J'', hJ'', Hle⟩
rcases Hne with ⟨x, hx, hx'⟩
rwa [π₂.eq_of_mem_of_mem hJ' hJ'' hx' (Hle hx)]
· rintro ⟨H, HU⟩ J hJ
simp only [Set.subset_def, mem_iUnion] at HU
rcases HU J.upper ⟨J, hJ, J.upper_mem⟩ with ⟨J₂, hJ₂, hx⟩
exact ⟨J₂, hJ₂, H _ hJ _ hJ₂ ⟨_, J.upper_mem, hx⟩⟩
#align box_integral.prepartition.le_iff_nonempty_imp_le_and_Union_subset BoxIntegral.Prepartition.le_iff_nonempty_imp_le_and_iUnion_subset
theorem eq_of_boxes_subset_iUnion_superset (h₁ : π₁.boxes ⊆ π₂.boxes) (h₂ : π₂.iUnion ⊆ π₁.iUnion) :
π₁ = π₂ :=
le_antisymm (fun J hJ => ⟨J, h₁ hJ, le_rfl⟩) <|
le_iff_nonempty_imp_le_and_iUnion_subset.2
⟨fun _ hJ₁ _ hJ₂ Hne =>
(π₂.eq_of_mem_of_mem hJ₁ (h₁ hJ₂) Hne.choose_spec.1 Hne.choose_spec.2).le, h₂⟩
#align box_integral.prepartition.eq_of_boxes_subset_Union_superset BoxIntegral.Prepartition.eq_of_boxes_subset_iUnion_superset
/-- Given a prepartition `π` of a box `I` and a collection of prepartitions `πi J` of all boxes
`J ∈ π`, returns the prepartition of `I` into the union of the boxes of all `πi J`.
Though we only use the values of `πi` on the boxes of `π`, we require `πi` to be a globally defined
function. -/
@[simps]
def biUnion (πi : ∀ J : Box ι, Prepartition J) : Prepartition I where
boxes := π.boxes.biUnion fun J => (πi J).boxes
le_of_mem' J hJ := by
simp only [Finset.mem_biUnion, exists_prop, mem_boxes] at hJ
rcases hJ with ⟨J', hJ', hJ⟩
exact ((πi J').le_of_mem hJ).trans (π.le_of_mem hJ')
pairwiseDisjoint := by
simp only [Set.Pairwise, Finset.mem_coe, Finset.mem_biUnion]
rintro J₁' ⟨J₁, hJ₁, hJ₁'⟩ J₂' ⟨J₂, hJ₂, hJ₂'⟩ Hne
rw [Function.onFun, Set.disjoint_left]
rintro x hx₁ hx₂; apply Hne
obtain rfl : J₁ = J₂ :=
π.eq_of_mem_of_mem hJ₁ hJ₂ ((πi J₁).le_of_mem hJ₁' hx₁) ((πi J₂).le_of_mem hJ₂' hx₂)
exact (πi J₁).eq_of_mem_of_mem hJ₁' hJ₂' hx₁ hx₂
#align box_integral.prepartition.bUnion BoxIntegral.Prepartition.biUnion
variable {πi πi₁ πi₂ : ∀ J : Box ι, Prepartition J}
@[simp]
theorem mem_biUnion : J ∈ π.biUnion πi ↔ ∃ J' ∈ π, J ∈ πi J' := by simp [biUnion]
#align box_integral.prepartition.mem_bUnion BoxIntegral.Prepartition.mem_biUnion
theorem biUnion_le (πi : ∀ J, Prepartition J) : π.biUnion πi ≤ π := fun _ hJ =>
let ⟨J', hJ', hJ⟩ := π.mem_biUnion.1 hJ
⟨J', hJ', (πi J').le_of_mem hJ⟩
#align box_integral.prepartition.bUnion_le BoxIntegral.Prepartition.biUnion_le
@[simp]
theorem biUnion_top : (π.biUnion fun _ => ⊤) = π := by
ext
simp
#align box_integral.prepartition.bUnion_top BoxIntegral.Prepartition.biUnion_top
@[congr]
theorem biUnion_congr (h : π₁ = π₂) (hi : ∀ J ∈ π₁, πi₁ J = πi₂ J) :
π₁.biUnion πi₁ = π₂.biUnion πi₂ := by
subst π₂
ext J
simp only [mem_biUnion]
constructor <;> exact fun ⟨J', h₁, h₂⟩ => ⟨J', h₁, hi J' h₁ ▸ h₂⟩
#align box_integral.prepartition.bUnion_congr BoxIntegral.Prepartition.biUnion_congr
theorem biUnion_congr_of_le (h : π₁ = π₂) (hi : ∀ J ≤ I, πi₁ J = πi₂ J) :
π₁.biUnion πi₁ = π₂.biUnion πi₂ :=
biUnion_congr h fun J hJ => hi J (π₁.le_of_mem hJ)
#align box_integral.prepartition.bUnion_congr_of_le BoxIntegral.Prepartition.biUnion_congr_of_le
@[simp]
theorem iUnion_biUnion (πi : ∀ J : Box ι, Prepartition J) :
(π.biUnion πi).iUnion = ⋃ J ∈ π, (πi J).iUnion := by simp [Prepartition.iUnion]
#align box_integral.prepartition.Union_bUnion BoxIntegral.Prepartition.iUnion_biUnion
@[simp]
theorem sum_biUnion_boxes {M : Type*} [AddCommMonoid M] (π : Prepartition I)
(πi : ∀ J, Prepartition J) (f : Box ι → M) :
(∑ J ∈ π.boxes.biUnion fun J => (πi J).boxes, f J) =
∑ J ∈ π.boxes, ∑ J' ∈ (πi J).boxes, f J' := by
refine Finset.sum_biUnion fun J₁ h₁ J₂ h₂ hne => Finset.disjoint_left.2 fun J' h₁' h₂' => ?_
exact hne (π.eq_of_le_of_le h₁ h₂ ((πi J₁).le_of_mem h₁') ((πi J₂).le_of_mem h₂'))
#align box_integral.prepartition.sum_bUnion_boxes BoxIntegral.Prepartition.sum_biUnion_boxes
/-- Given a box `J ∈ π.biUnion πi`, returns the box `J' ∈ π` such that `J ∈ πi J'`.
For `J ∉ π.biUnion πi`, returns `I`. -/
def biUnionIndex (πi : ∀ (J : Box ι), Prepartition J) (J : Box ι) : Box ι :=
if hJ : J ∈ π.biUnion πi then (π.mem_biUnion.1 hJ).choose else I
#align box_integral.prepartition.bUnion_index BoxIntegral.Prepartition.biUnionIndex
theorem biUnionIndex_mem (hJ : J ∈ π.biUnion πi) : π.biUnionIndex πi J ∈ π := by
rw [biUnionIndex, dif_pos hJ]
exact (π.mem_biUnion.1 hJ).choose_spec.1
#align box_integral.prepartition.bUnion_index_mem BoxIntegral.Prepartition.biUnionIndex_mem
theorem biUnionIndex_le (πi : ∀ J, Prepartition J) (J : Box ι) : π.biUnionIndex πi J ≤ I := by
by_cases hJ : J ∈ π.biUnion πi
· exact π.le_of_mem (π.biUnionIndex_mem hJ)
· rw [biUnionIndex, dif_neg hJ]
#align box_integral.prepartition.bUnion_index_le BoxIntegral.Prepartition.biUnionIndex_le
theorem mem_biUnionIndex (hJ : J ∈ π.biUnion πi) : J ∈ πi (π.biUnionIndex πi J) := by
convert (π.mem_biUnion.1 hJ).choose_spec.2 <;> exact dif_pos hJ
#align box_integral.prepartition.mem_bUnion_index BoxIntegral.Prepartition.mem_biUnionIndex
theorem le_biUnionIndex (hJ : J ∈ π.biUnion πi) : J ≤ π.biUnionIndex πi J :=
le_of_mem _ (π.mem_biUnionIndex hJ)
#align box_integral.prepartition.le_bUnion_index BoxIntegral.Prepartition.le_biUnionIndex
/-- Uniqueness property of `BoxIntegral.Prepartition.biUnionIndex`. -/
theorem biUnionIndex_of_mem (hJ : J ∈ π) {J'} (hJ' : J' ∈ πi J) : π.biUnionIndex πi J' = J :=
have : J' ∈ π.biUnion πi := π.mem_biUnion.2 ⟨J, hJ, hJ'⟩
π.eq_of_le_of_le (π.biUnionIndex_mem this) hJ (π.le_biUnionIndex this) (le_of_mem _ hJ')
#align box_integral.prepartition.bUnion_index_of_mem BoxIntegral.Prepartition.biUnionIndex_of_mem
theorem biUnion_assoc (πi : ∀ J, Prepartition J) (πi' : Box ι → ∀ J : Box ι, Prepartition J) :
(π.biUnion fun J => (πi J).biUnion (πi' J)) =
(π.biUnion πi).biUnion fun J => πi' (π.biUnionIndex πi J) J := by
ext J
simp only [mem_biUnion, exists_prop]
constructor
· rintro ⟨J₁, hJ₁, J₂, hJ₂, hJ⟩
refine ⟨J₂, ⟨J₁, hJ₁, hJ₂⟩, ?_⟩
rwa [π.biUnionIndex_of_mem hJ₁ hJ₂]
· rintro ⟨J₁, ⟨J₂, hJ₂, hJ₁⟩, hJ⟩
refine ⟨J₂, hJ₂, J₁, hJ₁, ?_⟩
rwa [π.biUnionIndex_of_mem hJ₂ hJ₁] at hJ
#align box_integral.prepartition.bUnion_assoc BoxIntegral.Prepartition.biUnion_assoc
/-- Create a `BoxIntegral.Prepartition` from a collection of possibly empty boxes by filtering out
the empty one if it exists. -/
def ofWithBot (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) :
Prepartition I where
boxes := Finset.eraseNone boxes
le_of_mem' J hJ := by
rw [mem_eraseNone] at hJ
simpa only [WithBot.some_eq_coe, WithBot.coe_le_coe] using le_of_mem _ hJ
pairwiseDisjoint J₁ h₁ J₂ h₂ hne := by
simp only [mem_coe, mem_eraseNone] at h₁ h₂
exact Box.disjoint_coe.1 (pairwise_disjoint h₁ h₂ (mt Option.some_inj.1 hne))
#align box_integral.prepartition.of_with_bot BoxIntegral.Prepartition.ofWithBot
@[simp]
theorem mem_ofWithBot {boxes : Finset (WithBot (Box ι))} {h₁ h₂} :
J ∈ (ofWithBot boxes h₁ h₂ : Prepartition I) ↔ (J : WithBot (Box ι)) ∈ boxes :=
mem_eraseNone
#align box_integral.prepartition.mem_of_with_bot BoxIntegral.Prepartition.mem_ofWithBot
@[simp]
theorem iUnion_ofWithBot (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) :
(ofWithBot boxes le_of_mem pairwise_disjoint).iUnion = ⋃ J ∈ boxes, ↑J := by
suffices ⋃ (J : Box ι) (_ : ↑J ∈ boxes), ↑J = ⋃ J ∈ boxes, (J : Set (ι → ℝ)) by
simpa [ofWithBot, Prepartition.iUnion]
simp only [← Box.biUnion_coe_eq_coe, @iUnion_comm _ _ (Box ι), @iUnion_comm _ _ (@Eq _ _ _),
iUnion_iUnion_eq_right]
#align box_integral.prepartition.Union_of_with_bot BoxIntegral.Prepartition.iUnion_ofWithBot
theorem ofWithBot_le {boxes : Finset (WithBot (Box ι))}
{le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ boxes, J ≠ ⊥ → ∃ J' ∈ π, J ≤ ↑J') :
ofWithBot boxes le_of_mem pairwise_disjoint ≤ π := by
have : ∀ J : Box ι, ↑J ∈ boxes → ∃ J' ∈ π, J ≤ J' := fun J hJ => by
simpa only [WithBot.coe_le_coe] using H J hJ WithBot.coe_ne_bot
simpa [ofWithBot, le_def]
#align box_integral.prepartition.of_with_bot_le BoxIntegral.Prepartition.ofWithBot_le
theorem le_ofWithBot {boxes : Finset (WithBot (Box ι))}
{le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ π, ∃ J' ∈ boxes, ↑J ≤ J') : π ≤ ofWithBot boxes le_of_mem pairwise_disjoint := by
intro J hJ
rcases H J hJ with ⟨J', J'mem, hle⟩
lift J' to Box ι using ne_bot_of_le_ne_bot WithBot.coe_ne_bot hle
exact ⟨J', mem_ofWithBot.2 J'mem, WithBot.coe_le_coe.1 hle⟩
#align box_integral.prepartition.le_of_with_bot BoxIntegral.Prepartition.le_ofWithBot
theorem ofWithBot_mono {boxes₁ : Finset (WithBot (Box ι))}
{le_of_mem₁ : ∀ J ∈ boxes₁, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint₁ : Set.Pairwise (boxes₁ : Set (WithBot (Box ι))) Disjoint}
{boxes₂ : Finset (WithBot (Box ι))} {le_of_mem₂ : ∀ J ∈ boxes₂, (J : WithBot (Box ι)) ≤ I}
{pairwise_disjoint₂ : Set.Pairwise (boxes₂ : Set (WithBot (Box ι))) Disjoint}
(H : ∀ J ∈ boxes₁, J ≠ ⊥ → ∃ J' ∈ boxes₂, J ≤ J') :
ofWithBot boxes₁ le_of_mem₁ pairwise_disjoint₁ ≤
ofWithBot boxes₂ le_of_mem₂ pairwise_disjoint₂ :=
le_ofWithBot _ fun J hJ => H J (mem_ofWithBot.1 hJ) WithBot.coe_ne_bot
#align box_integral.prepartition.of_with_bot_mono BoxIntegral.Prepartition.ofWithBot_mono
theorem sum_ofWithBot {M : Type*} [AddCommMonoid M] (boxes : Finset (WithBot (Box ι)))
(le_of_mem : ∀ J ∈ boxes, (J : WithBot (Box ι)) ≤ I)
(pairwise_disjoint : Set.Pairwise (boxes : Set (WithBot (Box ι))) Disjoint) (f : Box ι → M) :
(∑ J ∈ (ofWithBot boxes le_of_mem pairwise_disjoint).boxes, f J) =
∑ J ∈ boxes, Option.elim' 0 f J :=
Finset.sum_eraseNone _ _
#align box_integral.prepartition.sum_of_with_bot BoxIntegral.Prepartition.sum_ofWithBot
/-- Restrict a prepartition to a box. -/
def restrict (π : Prepartition I) (J : Box ι) : Prepartition J :=
ofWithBot (π.boxes.image fun J' : Box ι => J ⊓ J')
(fun J' hJ' => by
rcases Finset.mem_image.1 hJ' with ⟨J', -, rfl⟩
exact inf_le_left)
(by
simp only [Set.Pairwise, onFun, Finset.mem_coe, Finset.mem_image]
rintro _ ⟨J₁, h₁, rfl⟩ _ ⟨J₂, h₂, rfl⟩ Hne
have : J₁ ≠ J₂ := by
rintro rfl
exact Hne rfl
exact ((Box.disjoint_coe.2 <| π.disjoint_coe_of_mem h₁ h₂ this).inf_left' _).inf_right' _)
#align box_integral.prepartition.restrict BoxIntegral.Prepartition.restrict
@[simp]
theorem mem_restrict : J₁ ∈ π.restrict J ↔ ∃ J' ∈ π, (J₁ : WithBot (Box ι)) = ↑J ⊓ ↑J' := by
simp [restrict, eq_comm]
#align box_integral.prepartition.mem_restrict BoxIntegral.Prepartition.mem_restrict
theorem mem_restrict' : J₁ ∈ π.restrict J ↔ ∃ J' ∈ π, (J₁ : Set (ι → ℝ)) = ↑J ∩ ↑J' := by
simp only [mem_restrict, ← Box.withBotCoe_inj, Box.coe_inf, Box.coe_coe]
#align box_integral.prepartition.mem_restrict' BoxIntegral.Prepartition.mem_restrict'
@[mono]
theorem restrict_mono {π₁ π₂ : Prepartition I} (Hle : π₁ ≤ π₂) : π₁.restrict J ≤ π₂.restrict J := by
refine ofWithBot_mono fun J₁ hJ₁ hne => ?_
rw [Finset.mem_image] at hJ₁; rcases hJ₁ with ⟨J₁, hJ₁, rfl⟩
rcases Hle hJ₁ with ⟨J₂, hJ₂, hle⟩
exact ⟨_, Finset.mem_image_of_mem _ hJ₂, inf_le_inf_left _ <| WithBot.coe_le_coe.2 hle⟩
#align box_integral.prepartition.restrict_mono BoxIntegral.Prepartition.restrict_mono
theorem monotone_restrict : Monotone fun π : Prepartition I => restrict π J :=
fun _ _ => restrict_mono
#align box_integral.prepartition.monotone_restrict BoxIntegral.Prepartition.monotone_restrict
/-- Restricting to a larger box does not change the set of boxes. We cannot claim equality
of prepartitions because they have different types. -/
theorem restrict_boxes_of_le (π : Prepartition I) (h : I ≤ J) : (π.restrict J).boxes = π.boxes := by
simp only [restrict, ofWithBot, eraseNone_eq_biUnion]
refine Finset.image_biUnion.trans ?_
refine (Finset.biUnion_congr rfl ?_).trans Finset.biUnion_singleton_eq_self
intro J' hJ'
rw [inf_of_le_right, ← WithBot.some_eq_coe, Option.toFinset_some]
exact WithBot.coe_le_coe.2 ((π.le_of_mem hJ').trans h)
#align box_integral.prepartition.restrict_boxes_of_le BoxIntegral.Prepartition.restrict_boxes_of_le
@[simp]
theorem restrict_self : π.restrict I = π :=
injective_boxes <| restrict_boxes_of_le π le_rfl
#align box_integral.prepartition.restrict_self BoxIntegral.Prepartition.restrict_self
@[simp]
| Mathlib/Analysis/BoxIntegral/Partition/Basic.lean | 528 | 529 | theorem iUnion_restrict : (π.restrict J).iUnion = (J : Set (ι → ℝ)) ∩ (π.iUnion) := by |
simp [restrict, ← inter_iUnion, ← iUnion_def]
|
/-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers, Manuel Candales
-/
import Mathlib.Analysis.Convex.Between
import Mathlib.Analysis.Normed.Group.AddTorsor
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
import Mathlib.Analysis.NormedSpace.AffineIsometry
#align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
/-!
# Angles between points
This file defines unoriented angles in Euclidean affine spaces.
## Main definitions
* `EuclideanGeometry.angle`, with notation `∠`, is the undirected angle determined by three
points.
## TODO
Prove the triangle inequality for the angle.
-/
noncomputable section
open Real RealInnerProductSpace
namespace EuclideanGeometry
open InnerProductGeometry
variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] {p p₀ p₁ p₂ : P}
/-- The undirected angle at `p2` between the line segments to `p1` and
`p3`. If either of those points equals `p2`, this is π/2. Use
`open scoped EuclideanGeometry` to access the `∠ p1 p2 p3`
notation. -/
nonrec def angle (p1 p2 p3 : P) : ℝ :=
angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2)
#align euclidean_geometry.angle EuclideanGeometry.angle
@[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle
theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) :
ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by
let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1)
have hf1 : (f x).1 ≠ 0 := by simp [hx12]
have hf2 : (f x).2 ≠ 0 := by simp [hx32]
exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp
((continuous_fst.vsub continuous_snd.fst).prod_mk
(continuous_snd.snd.vsub continuous_snd.fst)).continuousAt
#align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle
@[simp]
theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂]
[InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂]
(f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by
simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map]
#align affine_isometry.angle_map AffineIsometry.angle_map
@[simp, norm_cast]
theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) :
haveI : Nonempty s := ⟨p₁⟩
∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ :=
haveI : Nonempty s := ⟨p₁⟩
s.subtypeₐᵢ.angle_map p₁ p₂ p₃
#align affine_subspace.angle_coe AffineSubspace.angle_coe
/-- Angles are translation invariant -/
@[simp]
theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_const_vadd EuclideanGeometry.angle_const_vadd
/-- Angles are translation invariant -/
@[simp]
theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ :=
(AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_vadd_const EuclideanGeometry.angle_vadd_const
/-- Angles are translation invariant -/
@[simp]
theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_const_vsub EuclideanGeometry.angle_const_vsub
/-- Angles are translation invariant -/
@[simp]
theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_vsub_const EuclideanGeometry.angle_vsub_const
/-- Angles in a vector space are translation invariant -/
@[simp]
theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ :=
angle_vadd_const _ _ _ _
#align euclidean_geometry.angle_add_const EuclideanGeometry.angle_add_const
/-- Angles in a vector space are translation invariant -/
@[simp]
theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ :=
angle_const_vadd _ _ _ _
#align euclidean_geometry.angle_const_add EuclideanGeometry.angle_const_add
/-- Angles in a vector space are translation invariant -/
@[simp]
theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by
simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v
#align euclidean_geometry.angle_sub_const EuclideanGeometry.angle_sub_const
/-- Angles in a vector space are invariant to inversion -/
@[simp]
| Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean | 119 | 120 | theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by |
simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Morenikeji Neri
-/
import Mathlib.Algebra.EuclideanDomain.Instances
import Mathlib.RingTheory.Ideal.Colon
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import ring_theory.principal_ideal_domain from "leanprover-community/mathlib"@"6010cf523816335f7bae7f8584cb2edaace73940"
/-!
# Principal ideal rings, principal ideal domains, and Bézout rings
A principal ideal ring (PIR) is a ring in which all left ideals are principal. A
principal ideal domain (PID) is an integral domain which is a principal ideal ring.
# Main definitions
Note that for principal ideal domains, one should use
`[IsDomain R] [IsPrincipalIdealRing R]`. There is no explicit definition of a PID.
Theorems about PID's are in the `principal_ideal_ring` namespace.
- `IsPrincipalIdealRing`: a predicate on rings, saying that every left ideal is principal.
- `IsBezout`: the predicate saying that every finitely generated left ideal is principal.
- `generator`: a generator of a principal ideal (or more generally submodule)
- `to_unique_factorization_monoid`: a PID is a unique factorization domain
# Main results
- `to_maximal_ideal`: a non-zero prime ideal in a PID is maximal.
- `EuclideanDomain.to_principal_ideal_domain` : a Euclidean domain is a PID.
- `IsBezout.nonemptyGCDMonoid`: Every Bézout domain is a GCD domain.
-/
universe u v
variable {R : Type u} {M : Type v}
open Set Function
open Submodule
section
variable [Ring R] [AddCommGroup M] [Module R M]
instance bot_isPrincipal : (⊥ : Submodule R M).IsPrincipal :=
⟨⟨0, by simp⟩⟩
#align bot_is_principal bot_isPrincipal
instance top_isPrincipal : (⊤ : Submodule R R).IsPrincipal :=
⟨⟨1, Ideal.span_singleton_one.symm⟩⟩
#align top_is_principal top_isPrincipal
variable (R)
/-- A Bézout ring is a ring whose finitely generated ideals are principal. -/
class IsBezout : Prop where
/-- Any finitely generated ideal is principal. -/
isPrincipal_of_FG : ∀ I : Ideal R, I.FG → I.IsPrincipal
#align is_bezout IsBezout
instance (priority := 100) IsBezout.of_isPrincipalIdealRing [IsPrincipalIdealRing R] : IsBezout R :=
⟨fun I _ => IsPrincipalIdealRing.principal I⟩
#align is_bezout.of_is_principal_ideal_ring IsBezout.of_isPrincipalIdealRing
instance (priority := 100) DivisionRing.isPrincipalIdealRing (K : Type u) [DivisionRing K] :
IsPrincipalIdealRing K where
principal S := by
rcases Ideal.eq_bot_or_top S with (rfl | rfl)
· apply bot_isPrincipal
· apply top_isPrincipal
#align division_ring.is_principal_ideal_ring DivisionRing.isPrincipalIdealRing
end
namespace Submodule.IsPrincipal
variable [AddCommGroup M]
section Ring
variable [Ring R] [Module R M]
/-- `generator I`, if `I` is a principal submodule, is an `x ∈ M` such that `span R {x} = I` -/
noncomputable def generator (S : Submodule R M) [S.IsPrincipal] : M :=
Classical.choose (principal S)
#align submodule.is_principal.generator Submodule.IsPrincipal.generator
theorem span_singleton_generator (S : Submodule R M) [S.IsPrincipal] : span R {generator S} = S :=
Eq.symm (Classical.choose_spec (principal S))
#align submodule.is_principal.span_singleton_generator Submodule.IsPrincipal.span_singleton_generator
@[simp]
theorem _root_.Ideal.span_singleton_generator (I : Ideal R) [I.IsPrincipal] :
Ideal.span ({generator I} : Set R) = I :=
Eq.symm (Classical.choose_spec (principal I))
#align ideal.span_singleton_generator Ideal.span_singleton_generator
@[simp]
theorem generator_mem (S : Submodule R M) [S.IsPrincipal] : generator S ∈ S := by
conv_rhs => rw [← span_singleton_generator S]
exact subset_span (mem_singleton _)
#align submodule.is_principal.generator_mem Submodule.IsPrincipal.generator_mem
theorem mem_iff_eq_smul_generator (S : Submodule R M) [S.IsPrincipal] {x : M} :
x ∈ S ↔ ∃ s : R, x = s • generator S := by
simp_rw [@eq_comm _ x, ← mem_span_singleton, span_singleton_generator]
#align submodule.is_principal.mem_iff_eq_smul_generator Submodule.IsPrincipal.mem_iff_eq_smul_generator
theorem eq_bot_iff_generator_eq_zero (S : Submodule R M) [S.IsPrincipal] :
S = ⊥ ↔ generator S = 0 := by rw [← @span_singleton_eq_bot R M, span_singleton_generator]
#align submodule.is_principal.eq_bot_iff_generator_eq_zero Submodule.IsPrincipal.eq_bot_iff_generator_eq_zero
end Ring
section CommRing
variable [CommRing R] [Module R M]
theorem associated_generator_span_self [IsPrincipalIdealRing R] [IsDomain R] (r : R) :
Associated (generator <| Ideal.span {r}) r := by
rw [← Ideal.span_singleton_eq_span_singleton]
exact Ideal.span_singleton_generator _
theorem mem_iff_generator_dvd (S : Ideal R) [S.IsPrincipal] {x : R} : x ∈ S ↔ generator S ∣ x :=
(mem_iff_eq_smul_generator S).trans (exists_congr fun a => by simp only [mul_comm, smul_eq_mul])
#align submodule.is_principal.mem_iff_generator_dvd Submodule.IsPrincipal.mem_iff_generator_dvd
theorem prime_generator_of_isPrime (S : Ideal R) [S.IsPrincipal] [is_prime : S.IsPrime]
(ne_bot : S ≠ ⊥) : Prime (generator S) :=
⟨fun h => ne_bot ((eq_bot_iff_generator_eq_zero S).2 h), fun h =>
is_prime.ne_top (S.eq_top_of_isUnit_mem (generator_mem S) h), fun _ _ => by
simpa only [← mem_iff_generator_dvd S] using is_prime.2⟩
#align submodule.is_principal.prime_generator_of_is_prime Submodule.IsPrincipal.prime_generator_of_isPrime
-- Note that the converse may not hold if `ϕ` is not injective.
theorem generator_map_dvd_of_mem {N : Submodule R M} (ϕ : M →ₗ[R] R) [(N.map ϕ).IsPrincipal] {x : M}
(hx : x ∈ N) : generator (N.map ϕ) ∣ ϕ x := by
rw [← mem_iff_generator_dvd, Submodule.mem_map]
exact ⟨x, hx, rfl⟩
#align submodule.is_principal.generator_map_dvd_of_mem Submodule.IsPrincipal.generator_map_dvd_of_mem
-- Note that the converse may not hold if `ϕ` is not injective.
theorem generator_submoduleImage_dvd_of_mem {N O : Submodule R M} (hNO : N ≤ O) (ϕ : O →ₗ[R] R)
[(ϕ.submoduleImage N).IsPrincipal] {x : M} (hx : x ∈ N) :
generator (ϕ.submoduleImage N) ∣ ϕ ⟨x, hNO hx⟩ := by
rw [← mem_iff_generator_dvd, LinearMap.mem_submoduleImage_of_le hNO]
exact ⟨x, hx, rfl⟩
#align submodule.is_principal.generator_submodule_image_dvd_of_mem Submodule.IsPrincipal.generator_submoduleImage_dvd_of_mem
end CommRing
end Submodule.IsPrincipal
namespace IsBezout
section
variable [Ring R]
instance span_pair_isPrincipal [IsBezout R] (x y : R) : (Ideal.span {x, y}).IsPrincipal := by
classical exact isPrincipal_of_FG (Ideal.span {x, y}) ⟨{x, y}, by simp⟩
#align is_bezout.span_pair_is_principal IsBezout.span_pair_isPrincipal
variable (x y : R) [(Ideal.span {x, y}).IsPrincipal]
/-- A choice of gcd of two elements in a Bézout domain.
Note that the choice is usually not unique. -/
noncomputable def gcd : R := Submodule.IsPrincipal.generator (Ideal.span {x, y})
#align is_bezout.gcd IsBezout.gcd
theorem span_gcd : Ideal.span {gcd x y} = Ideal.span {x, y} :=
Ideal.span_singleton_generator _
#align is_bezout.span_gcd IsBezout.span_gcd
end
variable [CommRing R] (x y z : R) [(Ideal.span {x, y}).IsPrincipal]
theorem gcd_dvd_left : gcd x y ∣ x :=
(Submodule.IsPrincipal.mem_iff_generator_dvd _).mp (Ideal.subset_span (by simp))
#align is_bezout.gcd_dvd_left IsBezout.gcd_dvd_left
theorem gcd_dvd_right : gcd x y ∣ y :=
(Submodule.IsPrincipal.mem_iff_generator_dvd _).mp (Ideal.subset_span (by simp))
#align is_bezout.gcd_dvd_right IsBezout.gcd_dvd_right
variable {x y z} in
theorem dvd_gcd (hx : z ∣ x) (hy : z ∣ y) : z ∣ gcd x y := by
rw [← Ideal.span_singleton_le_span_singleton] at hx hy ⊢
rw [span_gcd, Ideal.span_insert, sup_le_iff]
exact ⟨hx, hy⟩
#align is_bezout.dvd_gcd IsBezout.dvd_gcd
theorem gcd_eq_sum : ∃ a b : R, a * x + b * y = gcd x y :=
Ideal.mem_span_pair.mp (by rw [← span_gcd]; apply Ideal.subset_span; simp)
#align is_bezout.gcd_eq_sum IsBezout.gcd_eq_sum
variable {x y}
theorem _root_.IsRelPrime.isCoprime (h : IsRelPrime x y) : IsCoprime x y := by
rw [← Ideal.isCoprime_span_singleton_iff, Ideal.isCoprime_iff_sup_eq, ← Ideal.span_union,
Set.singleton_union, ← span_gcd, Ideal.span_singleton_eq_top]
exact h (gcd_dvd_left x y) (gcd_dvd_right x y)
theorem _root_.isRelPrime_iff_isCoprime : IsRelPrime x y ↔ IsCoprime x y :=
⟨IsRelPrime.isCoprime, IsCoprime.isRelPrime⟩
variable (R)
/-- Any Bézout domain is a GCD domain. This is not an instance since `GCDMonoid` contains data,
and this might not be how we would like to construct it. -/
noncomputable def toGCDDomain [IsBezout R] [IsDomain R] [DecidableEq R] : GCDMonoid R :=
gcdMonoidOfGCD (gcd · ·) (gcd_dvd_left · ·) (gcd_dvd_right · ·) dvd_gcd
#align is_bezout.to_gcd_domain IsBezout.toGCDDomain
instance nonemptyGCDMonoid [IsBezout R] [IsDomain R] : Nonempty (GCDMonoid R) := by
classical exact ⟨toGCDDomain R⟩
theorem associated_gcd_gcd [IsDomain R] [GCDMonoid R] :
Associated (IsBezout.gcd x y) (GCDMonoid.gcd x y) :=
gcd_greatest_associated (gcd_dvd_left _ _ ) (gcd_dvd_right _ _) (fun _ => dvd_gcd)
end IsBezout
namespace IsPrime
open Submodule.IsPrincipal Ideal
-- TODO -- for a non-ID one could perhaps prove that if p < q are prime then q maximal;
-- 0 isn't prime in a non-ID PIR but the Krull dimension is still <= 1.
-- The below result follows from this, but we could also use the below result to
-- prove this (quotient out by p).
theorem to_maximal_ideal [CommRing R] [IsDomain R] [IsPrincipalIdealRing R] {S : Ideal R}
[hpi : IsPrime S] (hS : S ≠ ⊥) : IsMaximal S :=
isMaximal_iff.2
⟨(ne_top_iff_one S).1 hpi.1, by
intro T x hST hxS hxT
cases' (mem_iff_generator_dvd _).1 (hST <| generator_mem S) with z hz
cases hpi.mem_or_mem (show generator T * z ∈ S from hz ▸ generator_mem S) with
| inl h =>
have hTS : T ≤ S := by
rwa [← T.span_singleton_generator, Ideal.span_le, singleton_subset_iff]
exact (hxS <| hTS hxT).elim
| inr h =>
cases' (mem_iff_generator_dvd _).1 h with y hy
have : generator S ≠ 0 := mt (eq_bot_iff_generator_eq_zero _).2 hS
rw [← mul_one (generator S), hy, mul_left_comm, mul_right_inj' this] at hz
exact hz.symm ▸ T.mul_mem_right _ (generator_mem T)⟩
#align is_prime.to_maximal_ideal IsPrime.to_maximal_ideal
end IsPrime
section
open EuclideanDomain
variable [EuclideanDomain R]
theorem mod_mem_iff {S : Ideal R} {x y : R} (hy : y ∈ S) : x % y ∈ S ↔ x ∈ S :=
⟨fun hxy => div_add_mod x y ▸ S.add_mem (S.mul_mem_right _ hy) hxy, fun hx =>
(mod_eq_sub_mul_div x y).symm ▸ S.sub_mem hx (S.mul_mem_right _ hy)⟩
#align mod_mem_iff mod_mem_iff
-- see Note [lower instance priority]
instance (priority := 100) EuclideanDomain.to_principal_ideal_domain : IsPrincipalIdealRing R where
principal S := by classical exact
⟨if h : { x : R | x ∈ S ∧ x ≠ 0 }.Nonempty then
have wf : WellFounded (EuclideanDomain.r : R → R → Prop) := EuclideanDomain.r_wellFounded
have hmin : WellFounded.min wf { x : R | x ∈ S ∧ x ≠ 0 } h ∈ S ∧
WellFounded.min wf { x : R | x ∈ S ∧ x ≠ 0 } h ≠ 0 :=
WellFounded.min_mem wf { x : R | x ∈ S ∧ x ≠ 0 } h
⟨WellFounded.min wf { x : R | x ∈ S ∧ x ≠ 0 } h,
Submodule.ext fun x => ⟨fun hx =>
div_add_mod x (WellFounded.min wf { x : R | x ∈ S ∧ x ≠ 0 } h) ▸
(Ideal.mem_span_singleton.2 <| dvd_add (dvd_mul_right _ _) <| by
have : x % WellFounded.min wf { x : R | x ∈ S ∧ x ≠ 0 } h ∉
{ x : R | x ∈ S ∧ x ≠ 0 } :=
fun h₁ => WellFounded.not_lt_min wf _ h h₁ (mod_lt x hmin.2)
have : x % WellFounded.min wf { x : R | x ∈ S ∧ x ≠ 0 } h = 0 := by
simp only [not_and_or, Set.mem_setOf_eq, not_ne_iff] at this
exact this.neg_resolve_left <| (mod_mem_iff hmin.1).2 hx
simp [*]),
fun hx =>
let ⟨y, hy⟩ := Ideal.mem_span_singleton.1 hx
hy.symm ▸ S.mul_mem_right _ hmin.1⟩⟩
else ⟨0, Submodule.ext fun a => by
rw [← @Submodule.bot_coe R R _ _ _, span_eq, Submodule.mem_bot]
exact ⟨fun haS => by_contra fun ha0 => h ⟨a, ⟨haS, ha0⟩⟩,
fun h₁ => h₁.symm ▸ S.zero_mem⟩⟩⟩
#align euclidean_domain.to_principal_ideal_domain EuclideanDomain.to_principal_ideal_domain
end
theorem IsField.isPrincipalIdealRing {R : Type*} [CommRing R] (h : IsField R) :
IsPrincipalIdealRing R :=
@EuclideanDomain.to_principal_ideal_domain R (@Field.toEuclideanDomain R h.toField)
#align is_field.is_principal_ideal_ring IsField.isPrincipalIdealRing
namespace PrincipalIdealRing
open IsPrincipalIdealRing
-- see Note [lower instance priority]
instance (priority := 100) isNoetherianRing [Ring R] [IsPrincipalIdealRing R] :
IsNoetherianRing R :=
isNoetherianRing_iff.2
⟨fun s : Ideal R => by
rcases (IsPrincipalIdealRing.principal s).principal with ⟨a, rfl⟩
rw [← Finset.coe_singleton]
exact ⟨{a}, SetLike.coe_injective rfl⟩⟩
#align principal_ideal_ring.is_noetherian_ring PrincipalIdealRing.isNoetherianRing
theorem isMaximal_of_irreducible [CommRing R] [IsPrincipalIdealRing R] {p : R}
(hp : Irreducible p) : Ideal.IsMaximal (span R ({p} : Set R)) :=
⟨⟨mt Ideal.span_singleton_eq_top.1 hp.1, fun I hI => by
rcases principal I with ⟨a, rfl⟩
erw [Ideal.span_singleton_eq_top]
rcases Ideal.span_singleton_le_span_singleton.1 (le_of_lt hI) with ⟨b, rfl⟩
refine (of_irreducible_mul hp).resolve_right (mt (fun hb => ?_) (not_le_of_lt hI))
erw [Ideal.span_singleton_le_span_singleton, IsUnit.mul_right_dvd hb]⟩⟩
#align principal_ideal_ring.is_maximal_of_irreducible PrincipalIdealRing.isMaximal_of_irreducible
@[deprecated] protected alias irreducible_iff_prime := irreducible_iff_prime
#align principal_ideal_ring.irreducible_iff_prime irreducible_iff_prime
@[deprecated] protected alias associates_irreducible_iff_prime := associates_irreducible_iff_prime
#align principal_ideal_ring.associates_irreducible_iff_prime associates_irreducible_iff_prime
variable [CommRing R] [IsDomain R] [IsPrincipalIdealRing R]
section
open scoped Classical
/-- `factors a` is a multiset of irreducible elements whose product is `a`, up to units -/
noncomputable def factors (a : R) : Multiset R :=
if h : a = 0 then ∅ else Classical.choose (WfDvdMonoid.exists_factors a h)
#align principal_ideal_ring.factors PrincipalIdealRing.factors
theorem factors_spec (a : R) (h : a ≠ 0) :
(∀ b ∈ factors a, Irreducible b) ∧ Associated (factors a).prod a := by
unfold factors; rw [dif_neg h]
exact Classical.choose_spec (WfDvdMonoid.exists_factors a h)
#align principal_ideal_ring.factors_spec PrincipalIdealRing.factors_spec
theorem ne_zero_of_mem_factors {R : Type v} [CommRing R] [IsDomain R] [IsPrincipalIdealRing R]
{a b : R} (ha : a ≠ 0) (hb : b ∈ factors a) : b ≠ 0 :=
Irreducible.ne_zero ((factors_spec a ha).1 b hb)
#align principal_ideal_ring.ne_zero_of_mem_factors PrincipalIdealRing.ne_zero_of_mem_factors
theorem mem_submonoid_of_factors_subset_of_units_subset (s : Submonoid R) {a : R} (ha : a ≠ 0)
(hfac : ∀ b ∈ factors a, b ∈ s) (hunit : ∀ c : Rˣ, (c : R) ∈ s) : a ∈ s := by
rcases (factors_spec a ha).2 with ⟨c, hc⟩
rw [← hc]
exact mul_mem (multiset_prod_mem _ hfac) (hunit _)
#align principal_ideal_ring.mem_submonoid_of_factors_subset_of_units_subset PrincipalIdealRing.mem_submonoid_of_factors_subset_of_units_subset
/-- If a `RingHom` maps all units and all factors of an element `a` into a submonoid `s`, then it
also maps `a` into that submonoid. -/
theorem ringHom_mem_submonoid_of_factors_subset_of_units_subset {R S : Type*} [CommRing R]
[IsDomain R] [IsPrincipalIdealRing R] [Semiring S] (f : R →+* S) (s : Submonoid S) (a : R)
(ha : a ≠ 0) (h : ∀ b ∈ factors a, f b ∈ s) (hf : ∀ c : Rˣ, f c ∈ s) : f a ∈ s :=
mem_submonoid_of_factors_subset_of_units_subset (s.comap f.toMonoidHom) ha h hf
#align principal_ideal_ring.ring_hom_mem_submonoid_of_factors_subset_of_units_subset PrincipalIdealRing.ringHom_mem_submonoid_of_factors_subset_of_units_subset
-- see Note [lower instance priority]
/-- A principal ideal domain has unique factorization -/
instance (priority := 100) to_uniqueFactorizationMonoid : UniqueFactorizationMonoid R :=
{ (IsNoetherianRing.wfDvdMonoid : WfDvdMonoid R) with
irreducible_iff_prime := irreducible_iff_prime }
#align principal_ideal_ring.to_unique_factorization_monoid PrincipalIdealRing.to_uniqueFactorizationMonoid
end
end PrincipalIdealRing
section Surjective
open Submodule
variable {S N : Type*} [Ring R] [AddCommGroup M] [AddCommGroup N] [Ring S]
variable [Module R M] [Module R N]
theorem Submodule.IsPrincipal.of_comap (f : M →ₗ[R] N) (hf : Function.Surjective f)
(S : Submodule R N) [hI : IsPrincipal (S.comap f)] : IsPrincipal S :=
⟨⟨f (IsPrincipal.generator (S.comap f)), by
rw [← Set.image_singleton, ← Submodule.map_span, IsPrincipal.span_singleton_generator,
Submodule.map_comap_eq_of_surjective hf]⟩⟩
#align submodule.is_principal.of_comap Submodule.IsPrincipal.of_comap
theorem Ideal.IsPrincipal.of_comap (f : R →+* S) (hf : Function.Surjective f) (I : Ideal S)
[hI : IsPrincipal (I.comap f)] : IsPrincipal I :=
⟨⟨f (IsPrincipal.generator (I.comap f)), by
rw [Ideal.submodule_span_eq, ← Set.image_singleton, ← Ideal.map_span,
Ideal.span_singleton_generator, Ideal.map_comap_of_surjective f hf]⟩⟩
#align ideal.is_principal.of_comap Ideal.IsPrincipal.of_comap
/-- The surjective image of a principal ideal ring is again a principal ideal ring. -/
theorem IsPrincipalIdealRing.of_surjective [IsPrincipalIdealRing R] (f : R →+* S)
(hf : Function.Surjective f) : IsPrincipalIdealRing S :=
⟨fun I => Ideal.IsPrincipal.of_comap f hf I⟩
#align is_principal_ideal_ring.of_surjective IsPrincipalIdealRing.of_surjective
end Surjective
section
open Ideal
variable [CommRing R] [IsDomain R]
section Bezout
variable [IsBezout R]
section GCD
variable [GCDMonoid R]
theorem IsBezout.span_gcd_eq_span_gcd (x y : R) :
span {GCDMonoid.gcd x y} = span {IsBezout.gcd x y} := by
rw [Ideal.span_singleton_eq_span_singleton]
exact associated_of_dvd_dvd
(IsBezout.dvd_gcd (GCDMonoid.gcd_dvd_left _ _) <| GCDMonoid.gcd_dvd_right _ _)
(GCDMonoid.dvd_gcd (IsBezout.gcd_dvd_left _ _) <| IsBezout.gcd_dvd_right _ _)
theorem span_gcd (x y : R) : span {gcd x y} = span {x, y} := by
rw [← IsBezout.span_gcd, IsBezout.span_gcd_eq_span_gcd]
#align span_gcd span_gcd
theorem gcd_dvd_iff_exists (a b : R) {z} : gcd a b ∣ z ↔ ∃ x y, z = a * x + b * y := by
simp_rw [mul_comm a, mul_comm b, @eq_comm _ z, ← Ideal.mem_span_pair, ← span_gcd,
Ideal.mem_span_singleton]
#align gcd_dvd_iff_exists gcd_dvd_iff_exists
/-- **Bézout's lemma** -/
| Mathlib/RingTheory/PrincipalIdealDomain.lean | 440 | 441 | theorem exists_gcd_eq_mul_add_mul (a b : R) : ∃ x y, gcd a b = a * x + b * y := by |
rw [← gcd_dvd_iff_exists]
|
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Order.Interval.Multiset
#align_import data.nat.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
/-!
# Finite intervals of naturals
This file proves that `ℕ` is a `LocallyFiniteOrder` and calculates the cardinality of its
intervals as finsets and fintypes.
## TODO
Some lemmas can be generalized using `OrderedGroup`, `CanonicallyOrderedCommMonoid` or `SuccOrder`
and subsequently be moved upstream to `Order.Interval.Finset`.
-/
-- TODO
-- assert_not_exists Ring
open Finset Nat
variable (a b c : ℕ)
namespace Nat
instance instLocallyFiniteOrder : LocallyFiniteOrder ℕ where
finsetIcc a b := ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩
finsetIco a b := ⟨List.range' a (b - a), List.nodup_range' _ _⟩
finsetIoc a b := ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩
finsetIoo a b := ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩
finset_mem_Icc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ico a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ioc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ioo a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
theorem Icc_eq_range' : Icc a b = ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩ :=
rfl
#align nat.Icc_eq_range' Nat.Icc_eq_range'
theorem Ico_eq_range' : Ico a b = ⟨List.range' a (b - a), List.nodup_range' _ _⟩ :=
rfl
#align nat.Ico_eq_range' Nat.Ico_eq_range'
theorem Ioc_eq_range' : Ioc a b = ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩ :=
rfl
#align nat.Ioc_eq_range' Nat.Ioc_eq_range'
theorem Ioo_eq_range' : Ioo a b = ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩ :=
rfl
#align nat.Ioo_eq_range' Nat.Ioo_eq_range'
theorem uIcc_eq_range' :
uIcc a b = ⟨List.range' (min a b) (max a b + 1 - min a b), List.nodup_range' _ _⟩ := rfl
#align nat.uIcc_eq_range' Nat.uIcc_eq_range'
theorem Iio_eq_range : Iio = range := by
ext b x
rw [mem_Iio, mem_range]
#align nat.Iio_eq_range Nat.Iio_eq_range
@[simp]
theorem Ico_zero_eq_range : Ico 0 = range := by rw [← Nat.bot_eq_zero, ← Iio_eq_Ico, Iio_eq_range]
#align nat.Ico_zero_eq_range Nat.Ico_zero_eq_range
lemma range_eq_Icc_zero_sub_one (n : ℕ) (hn : n ≠ 0): range n = Icc 0 (n - 1) := by
ext b
simp_all only [mem_Icc, zero_le, true_and, mem_range]
exact lt_iff_le_pred (zero_lt_of_ne_zero hn)
theorem _root_.Finset.range_eq_Ico : range = Ico 0 :=
Ico_zero_eq_range.symm
#align finset.range_eq_Ico Finset.range_eq_Ico
@[simp]
theorem card_Icc : (Icc a b).card = b + 1 - a :=
List.length_range' _ _ _
#align nat.card_Icc Nat.card_Icc
@[simp]
theorem card_Ico : (Ico a b).card = b - a :=
List.length_range' _ _ _
#align nat.card_Ico Nat.card_Ico
@[simp]
theorem card_Ioc : (Ioc a b).card = b - a :=
List.length_range' _ _ _
#align nat.card_Ioc Nat.card_Ioc
@[simp]
theorem card_Ioo : (Ioo a b).card = b - a - 1 :=
List.length_range' _ _ _
#align nat.card_Ioo Nat.card_Ioo
@[simp]
theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 :=
(card_Icc _ _).trans $ by rw [← Int.natCast_inj, sup_eq_max, inf_eq_min, Int.ofNat_sub] <;> omega
#align nat.card_uIcc Nat.card_uIcc
@[simp]
lemma card_Iic : (Iic b).card = b + 1 := by rw [Iic_eq_Icc, card_Icc, Nat.bot_eq_zero, Nat.sub_zero]
#align nat.card_Iic Nat.card_Iic
@[simp]
theorem card_Iio : (Iio b).card = b := by rw [Iio_eq_Ico, card_Ico, Nat.bot_eq_zero, Nat.sub_zero]
#align nat.card_Iio Nat.card_Iio
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by
rw [Fintype.card_ofFinset, card_Icc]
#align nat.card_fintype_Icc Nat.card_fintypeIcc
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by
rw [Fintype.card_ofFinset, card_Ico]
#align nat.card_fintype_Ico Nat.card_fintypeIco
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIoc : Fintype.card (Set.Ioc a b) = b - a := by
rw [Fintype.card_ofFinset, card_Ioc]
#align nat.card_fintype_Ioc Nat.card_fintypeIoc
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIoo : Fintype.card (Set.Ioo a b) = b - a - 1 := by
rw [Fintype.card_ofFinset, card_Ioo]
#align nat.card_fintype_Ioo Nat.card_fintypeIoo
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIic : Fintype.card (Set.Iic b) = b + 1 := by
rw [Fintype.card_ofFinset, card_Iic]
#align nat.card_fintype_Iic Nat.card_fintypeIic
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIio : Fintype.card (Set.Iio b) = b := by rw [Fintype.card_ofFinset, card_Iio]
#align nat.card_fintype_Iio Nat.card_fintypeIio
-- TODO@Yaël: Generalize all the following lemmas to `SuccOrder`
theorem Icc_succ_left : Icc a.succ b = Ioc a b := by
ext x
rw [mem_Icc, mem_Ioc, succ_le_iff]
#align nat.Icc_succ_left Nat.Icc_succ_left
| Mathlib/Order/Interval/Finset/Nat.lean | 153 | 155 | theorem Ico_succ_right : Ico a b.succ = Icc a b := by |
ext x
rw [mem_Ico, mem_Icc, Nat.lt_succ_iff]
|
/-
Copyright (c) 2021 Martin Zinkevich. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Martin Zinkevich, Vincent Beffara
-/
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.Probability.Independence.Basic
#align_import probability.integration from "leanprover-community/mathlib"@"2f8347015b12b0864dfaf366ec4909eb70c78740"
/-!
# Integration in Probability Theory
Integration results for independent random variables. Specifically, for two
independent random variables X and Y over the extended non-negative
reals, `E[X * Y] = E[X] * E[Y]`, and similar results.
## Implementation notes
Many lemmas in this file take two arguments of the same typeclass. It is worth remembering that lean
will always pick the later typeclass in this situation, and does not care whether the arguments are
`[]`, `{}`, or `()`. All of these use the `MeasurableSpace` `M2` to define `μ`:
```lean
example {M1 : MeasurableSpace Ω} [M2 : MeasurableSpace Ω] {μ : Measure Ω} : sorry := sorry
example [M1 : MeasurableSpace Ω] {M2 : MeasurableSpace Ω} {μ : Measure Ω} : sorry := sorry
```
-/
noncomputable section
open Set MeasureTheory
open scoped ENNReal MeasureTheory
variable {Ω : Type*} {mΩ : MeasurableSpace Ω} {μ : Measure Ω} {f g : Ω → ℝ≥0∞} {X Y : Ω → ℝ}
namespace ProbabilityTheory
/-- If a random variable `f` in `ℝ≥0∞` is independent of an event `T`, then if you restrict the
random variable to `T`, then `E[f * indicator T c 0]=E[f] * E[indicator T c 0]`. It is useful for
`lintegral_mul_eq_lintegral_mul_lintegral_of_independent_measurableSpace`. -/
theorem lintegral_mul_indicator_eq_lintegral_mul_lintegral_indicator {Mf mΩ : MeasurableSpace Ω}
{μ : Measure Ω} (hMf : Mf ≤ mΩ) (c : ℝ≥0∞) {T : Set Ω} (h_meas_T : MeasurableSet T)
(h_ind : IndepSets {s | MeasurableSet[Mf] s} {T} μ) (h_meas_f : Measurable[Mf] f) :
(∫⁻ ω, f ω * T.indicator (fun _ => c) ω ∂μ) =
(∫⁻ ω, f ω ∂μ) * ∫⁻ ω, T.indicator (fun _ => c) ω ∂μ := by
revert f
have h_mul_indicator : ∀ g, Measurable g → Measurable fun a => g a * T.indicator (fun _ => c) a :=
fun g h_mg => h_mg.mul (measurable_const.indicator h_meas_T)
apply @Measurable.ennreal_induction _ Mf
· intro c' s' h_meas_s'
simp_rw [← inter_indicator_mul]
rw [lintegral_indicator _ (MeasurableSet.inter (hMf _ h_meas_s') h_meas_T),
lintegral_indicator _ (hMf _ h_meas_s'), lintegral_indicator _ h_meas_T]
simp only [measurable_const, lintegral_const, univ_inter, lintegral_const_mul,
MeasurableSet.univ, Measure.restrict_apply]
rw [IndepSets_iff] at h_ind
rw [mul_mul_mul_comm, h_ind s' T h_meas_s' (Set.mem_singleton _)]
· intro f' g _ h_meas_f' _ h_ind_f' h_ind_g
have h_measM_f' : Measurable f' := h_meas_f'.mono hMf le_rfl
simp_rw [Pi.add_apply, right_distrib]
rw [lintegral_add_left (h_mul_indicator _ h_measM_f'), lintegral_add_left h_measM_f',
right_distrib, h_ind_f', h_ind_g]
· intro f h_meas_f h_mono_f h_ind_f
have h_measM_f : ∀ n, Measurable (f n) := fun n => (h_meas_f n).mono hMf le_rfl
simp_rw [ENNReal.iSup_mul]
rw [lintegral_iSup h_measM_f h_mono_f, lintegral_iSup, ENNReal.iSup_mul]
· simp_rw [← h_ind_f]
· exact fun n => h_mul_indicator _ (h_measM_f n)
· exact fun m n h_le a => mul_le_mul_right' (h_mono_f h_le a) _
#align probability_theory.lintegral_mul_indicator_eq_lintegral_mul_lintegral_indicator ProbabilityTheory.lintegral_mul_indicator_eq_lintegral_mul_lintegral_indicator
/-- If `f` and `g` are independent random variables with values in `ℝ≥0∞`,
then `E[f * g] = E[f] * E[g]`. However, instead of directly using the independence
of the random variables, it uses the independence of measurable spaces for the
domains of `f` and `g`. This is similar to the sigma-algebra approach to
independence. See `lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun` for
a more common variant of the product of independent variables. -/
theorem lintegral_mul_eq_lintegral_mul_lintegral_of_independent_measurableSpace
{Mf Mg mΩ : MeasurableSpace Ω} {μ : Measure Ω} (hMf : Mf ≤ mΩ) (hMg : Mg ≤ mΩ)
(h_ind : Indep Mf Mg μ) (h_meas_f : Measurable[Mf] f) (h_meas_g : Measurable[Mg] g) :
∫⁻ ω, f ω * g ω ∂μ = (∫⁻ ω, f ω ∂μ) * ∫⁻ ω, g ω ∂μ := by
revert g
have h_measM_f : Measurable f := h_meas_f.mono hMf le_rfl
apply @Measurable.ennreal_induction _ Mg
· intro c s h_s
apply lintegral_mul_indicator_eq_lintegral_mul_lintegral_indicator hMf _ (hMg _ h_s) _ h_meas_f
apply indepSets_of_indepSets_of_le_right h_ind
rwa [singleton_subset_iff]
· intro f' g _ h_measMg_f' _ h_ind_f' h_ind_g'
have h_measM_f' : Measurable f' := h_measMg_f'.mono hMg le_rfl
simp_rw [Pi.add_apply, left_distrib]
rw [lintegral_add_left h_measM_f', lintegral_add_left (h_measM_f.mul h_measM_f'), left_distrib,
h_ind_f', h_ind_g']
· intro f' h_meas_f' h_mono_f' h_ind_f'
have h_measM_f' : ∀ n, Measurable (f' n) := fun n => (h_meas_f' n).mono hMg le_rfl
simp_rw [ENNReal.mul_iSup]
rw [lintegral_iSup, lintegral_iSup h_measM_f' h_mono_f', ENNReal.mul_iSup]
· simp_rw [← h_ind_f']
· exact fun n => h_measM_f.mul (h_measM_f' n)
· exact fun n m (h_le : n ≤ m) a => mul_le_mul_left' (h_mono_f' h_le a) _
#align probability_theory.lintegral_mul_eq_lintegral_mul_lintegral_of_independent_measurable_space ProbabilityTheory.lintegral_mul_eq_lintegral_mul_lintegral_of_independent_measurableSpace
/-- If `f` and `g` are independent random variables with values in `ℝ≥0∞`,
then `E[f * g] = E[f] * E[g]`. -/
theorem lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun (h_meas_f : Measurable f)
(h_meas_g : Measurable g) (h_indep_fun : IndepFun f g μ) :
(∫⁻ ω, (f * g) ω ∂μ) = (∫⁻ ω, f ω ∂μ) * ∫⁻ ω, g ω ∂μ :=
lintegral_mul_eq_lintegral_mul_lintegral_of_independent_measurableSpace
(measurable_iff_comap_le.1 h_meas_f) (measurable_iff_comap_le.1 h_meas_g) h_indep_fun
(Measurable.of_comap_le le_rfl) (Measurable.of_comap_le le_rfl)
#align probability_theory.lintegral_mul_eq_lintegral_mul_lintegral_of_indep_fun ProbabilityTheory.lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun
/-- If `f` and `g` with values in `ℝ≥0∞` are independent and almost everywhere measurable,
then `E[f * g] = E[f] * E[g]` (slightly generalizing
`lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun`). -/
theorem lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun' (h_meas_f : AEMeasurable f μ)
(h_meas_g : AEMeasurable g μ) (h_indep_fun : IndepFun f g μ) :
(∫⁻ ω, (f * g) ω ∂μ) = (∫⁻ ω, f ω ∂μ) * ∫⁻ ω, g ω ∂μ := by
have fg_ae : f * g =ᵐ[μ] h_meas_f.mk _ * h_meas_g.mk _ := h_meas_f.ae_eq_mk.mul h_meas_g.ae_eq_mk
rw [lintegral_congr_ae h_meas_f.ae_eq_mk, lintegral_congr_ae h_meas_g.ae_eq_mk,
lintegral_congr_ae fg_ae]
apply lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun h_meas_f.measurable_mk
h_meas_g.measurable_mk
exact h_indep_fun.ae_eq h_meas_f.ae_eq_mk h_meas_g.ae_eq_mk
#align probability_theory.lintegral_mul_eq_lintegral_mul_lintegral_of_indep_fun' ProbabilityTheory.lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun'
theorem lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun'' (h_meas_f : AEMeasurable f μ)
(h_meas_g : AEMeasurable g μ) (h_indep_fun : IndepFun f g μ) :
∫⁻ ω, f ω * g ω ∂μ = (∫⁻ ω, f ω ∂μ) * ∫⁻ ω, g ω ∂μ :=
lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun' h_meas_f h_meas_g h_indep_fun
#align probability_theory.lintegral_mul_eq_lintegral_mul_lintegral_of_indep_fun'' ProbabilityTheory.lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun''
/-- The product of two independent, integrable, real-valued random variables is integrable. -/
| Mathlib/Probability/Integration.lean | 138 | 153 | theorem IndepFun.integrable_mul {β : Type*} [MeasurableSpace β] {X Y : Ω → β}
[NormedDivisionRing β] [BorelSpace β] (hXY : IndepFun X Y μ) (hX : Integrable X μ)
(hY : Integrable Y μ) : Integrable (X * Y) μ := by |
let nX : Ω → ENNReal := fun a => ‖X a‖₊
let nY : Ω → ENNReal := fun a => ‖Y a‖₊
have hXY' : IndepFun (fun a => ‖X a‖₊) (fun a => ‖Y a‖₊) μ :=
hXY.comp measurable_nnnorm measurable_nnnorm
have hXY'' : IndepFun nX nY μ :=
hXY'.comp measurable_coe_nnreal_ennreal measurable_coe_nnreal_ennreal
have hnX : AEMeasurable nX μ := hX.1.aemeasurable.nnnorm.coe_nnreal_ennreal
have hnY : AEMeasurable nY μ := hY.1.aemeasurable.nnnorm.coe_nnreal_ennreal
have hmul : ∫⁻ a, nX a * nY a ∂μ = (∫⁻ a, nX a ∂μ) * ∫⁻ a, nY a ∂μ :=
lintegral_mul_eq_lintegral_mul_lintegral_of_indepFun' hnX hnY hXY''
refine ⟨hX.1.mul hY.1, ?_⟩
simp_rw [HasFiniteIntegral, Pi.mul_apply, nnnorm_mul, ENNReal.coe_mul, hmul]
exact ENNReal.mul_lt_top hX.2.ne hY.2.ne
|
/-
Copyright (c) 2021 Martin Zinkevich. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Martin Zinkevich, Rémy Degenne
-/
import Mathlib.Logic.Encodable.Lattice
import Mathlib.MeasureTheory.MeasurableSpace.Defs
#align_import measure_theory.pi_system from "leanprover-community/mathlib"@"98e83c3d541c77cdb7da20d79611a780ff8e7d90"
/-!
# Induction principles for measurable sets, related to π-systems and λ-systems.
## Main statements
* The main theorem of this file is Dynkin's π-λ theorem, which appears
here as an induction principle `induction_on_inter`. Suppose `s` is a
collection of subsets of `α` such that the intersection of two members
of `s` belongs to `s` whenever it is nonempty. Let `m` be the σ-algebra
generated by `s`. In order to check that a predicate `C` holds on every
member of `m`, it suffices to check that `C` holds on the members of `s` and
that `C` is preserved by complementation and *disjoint* countable
unions.
* The proof of this theorem relies on the notion of `IsPiSystem`, i.e., a collection of sets
which is closed under binary non-empty intersections. Note that this is a small variation around
the usual notion in the literature, which often requires that a π-system is non-empty, and closed
also under disjoint intersections. This variation turns out to be convenient for the
formalization.
* The proof of Dynkin's π-λ theorem also requires the notion of `DynkinSystem`, i.e., a collection
of sets which contains the empty set, is closed under complementation and under countable union
of pairwise disjoint sets. The disjointness condition is the only difference with `σ`-algebras.
* `generatePiSystem g` gives the minimal π-system containing `g`.
This can be considered a Galois insertion into both measurable spaces and sets.
* `generateFrom_generatePiSystem_eq` proves that if you start from a collection of sets `g`,
take the generated π-system, and then the generated σ-algebra, you get the same result as
the σ-algebra generated from `g`. This is useful because there are connections between
independent sets that are π-systems and the generated independent spaces.
* `mem_generatePiSystem_iUnion_elim` and `mem_generatePiSystem_iUnion_elim'` show that any
element of the π-system generated from the union of a set of π-systems can be
represented as the intersection of a finite number of elements from these sets.
* `piiUnionInter` defines a new π-system from a family of π-systems `π : ι → Set (Set α)` and a
set of indices `S : Set ι`. `piiUnionInter π S` is the set of sets that can be written
as `⋂ x ∈ t, f x` for some finset `t ∈ S` and sets `f x ∈ π x`.
## Implementation details
* `IsPiSystem` is a predicate, not a type. Thus, we don't explicitly define the galois
insertion, nor do we define a complete lattice. In theory, we could define a complete
lattice and galois insertion on the subtype corresponding to `IsPiSystem`.
-/
open MeasurableSpace Set
open scoped Classical
open MeasureTheory
/-- A π-system is a collection of subsets of `α` that is closed under binary intersection of
non-disjoint sets. Usually it is also required that the collection is nonempty, but we don't do
that here. -/
def IsPiSystem {α} (C : Set (Set α)) : Prop :=
∀ᵉ (s ∈ C) (t ∈ C), (s ∩ t : Set α).Nonempty → s ∩ t ∈ C
#align is_pi_system IsPiSystem
namespace MeasurableSpace
theorem isPiSystem_measurableSet {α : Type*} [MeasurableSpace α] :
IsPiSystem { s : Set α | MeasurableSet s } := fun _ hs _ ht _ => hs.inter ht
#align measurable_space.is_pi_system_measurable_set MeasurableSpace.isPiSystem_measurableSet
end MeasurableSpace
theorem IsPiSystem.singleton {α} (S : Set α) : IsPiSystem ({S} : Set (Set α)) := by
intro s h_s t h_t _
rw [Set.mem_singleton_iff.1 h_s, Set.mem_singleton_iff.1 h_t, Set.inter_self,
Set.mem_singleton_iff]
#align is_pi_system.singleton IsPiSystem.singleton
theorem IsPiSystem.insert_empty {α} {S : Set (Set α)} (h_pi : IsPiSystem S) :
IsPiSystem (insert ∅ S) := by
intro s hs t ht hst
cases' hs with hs hs
· simp [hs]
· cases' ht with ht ht
· simp [ht]
· exact Set.mem_insert_of_mem _ (h_pi s hs t ht hst)
#align is_pi_system.insert_empty IsPiSystem.insert_empty
theorem IsPiSystem.insert_univ {α} {S : Set (Set α)} (h_pi : IsPiSystem S) :
IsPiSystem (insert Set.univ S) := by
intro s hs t ht hst
cases' hs with hs hs
· cases' ht with ht ht <;> simp [hs, ht]
· cases' ht with ht ht
· simp [hs, ht]
· exact Set.mem_insert_of_mem _ (h_pi s hs t ht hst)
#align is_pi_system.insert_univ IsPiSystem.insert_univ
theorem IsPiSystem.comap {α β} {S : Set (Set β)} (h_pi : IsPiSystem S) (f : α → β) :
IsPiSystem { s : Set α | ∃ t ∈ S, f ⁻¹' t = s } := by
rintro _ ⟨s, hs_mem, rfl⟩ _ ⟨t, ht_mem, rfl⟩ hst
rw [← Set.preimage_inter] at hst ⊢
exact ⟨s ∩ t, h_pi s hs_mem t ht_mem (nonempty_of_nonempty_preimage hst), rfl⟩
#align is_pi_system.comap IsPiSystem.comap
theorem isPiSystem_iUnion_of_directed_le {α ι} (p : ι → Set (Set α))
(hp_pi : ∀ n, IsPiSystem (p n)) (hp_directed : Directed (· ≤ ·) p) :
IsPiSystem (⋃ n, p n) := by
intro t1 ht1 t2 ht2 h
rw [Set.mem_iUnion] at ht1 ht2 ⊢
cases' ht1 with n ht1
cases' ht2 with m ht2
obtain ⟨k, hpnk, hpmk⟩ : ∃ k, p n ≤ p k ∧ p m ≤ p k := hp_directed n m
exact ⟨k, hp_pi k t1 (hpnk ht1) t2 (hpmk ht2) h⟩
#align is_pi_system_Union_of_directed_le isPiSystem_iUnion_of_directed_le
theorem isPiSystem_iUnion_of_monotone {α ι} [SemilatticeSup ι] (p : ι → Set (Set α))
(hp_pi : ∀ n, IsPiSystem (p n)) (hp_mono : Monotone p) : IsPiSystem (⋃ n, p n) :=
isPiSystem_iUnion_of_directed_le p hp_pi (Monotone.directed_le hp_mono)
#align is_pi_system_Union_of_monotone isPiSystem_iUnion_of_monotone
section Order
variable {α : Type*} {ι ι' : Sort*} [LinearOrder α]
theorem isPiSystem_image_Iio (s : Set α) : IsPiSystem (Iio '' s) := by
rintro _ ⟨a, ha, rfl⟩ _ ⟨b, hb, rfl⟩ -
exact ⟨a ⊓ b, inf_ind a b ha hb, Iio_inter_Iio.symm⟩
#align is_pi_system_image_Iio isPiSystem_image_Iio
theorem isPiSystem_Iio : IsPiSystem (range Iio : Set (Set α)) :=
@image_univ α _ Iio ▸ isPiSystem_image_Iio univ
#align is_pi_system_Iio isPiSystem_Iio
theorem isPiSystem_image_Ioi (s : Set α) : IsPiSystem (Ioi '' s) :=
@isPiSystem_image_Iio αᵒᵈ _ s
#align is_pi_system_image_Ioi isPiSystem_image_Ioi
theorem isPiSystem_Ioi : IsPiSystem (range Ioi : Set (Set α)) :=
@image_univ α _ Ioi ▸ isPiSystem_image_Ioi univ
#align is_pi_system_Ioi isPiSystem_Ioi
theorem isPiSystem_image_Iic (s : Set α) : IsPiSystem (Iic '' s) := by
rintro _ ⟨a, ha, rfl⟩ _ ⟨b, hb, rfl⟩ -
exact ⟨a ⊓ b, inf_ind a b ha hb, Iic_inter_Iic.symm⟩
theorem isPiSystem_Iic : IsPiSystem (range Iic : Set (Set α)) :=
@image_univ α _ Iic ▸ isPiSystem_image_Iic univ
#align is_pi_system_Iic isPiSystem_Iic
theorem isPiSystem_image_Ici (s : Set α) : IsPiSystem (Ici '' s) :=
@isPiSystem_image_Iic αᵒᵈ _ s
theorem isPiSystem_Ici : IsPiSystem (range Ici : Set (Set α)) :=
@image_univ α _ Ici ▸ isPiSystem_image_Ici univ
#align is_pi_system_Ici isPiSystem_Ici
theorem isPiSystem_Ixx_mem {Ixx : α → α → Set α} {p : α → α → Prop}
(Hne : ∀ {a b}, (Ixx a b).Nonempty → p a b)
(Hi : ∀ {a₁ b₁ a₂ b₂}, Ixx a₁ b₁ ∩ Ixx a₂ b₂ = Ixx (max a₁ a₂) (min b₁ b₂)) (s t : Set α) :
IsPiSystem { S | ∃ᵉ (l ∈ s) (u ∈ t), p l u ∧ Ixx l u = S } := by
rintro _ ⟨l₁, hls₁, u₁, hut₁, _, rfl⟩ _ ⟨l₂, hls₂, u₂, hut₂, _, rfl⟩
simp only [Hi]
exact fun H => ⟨l₁ ⊔ l₂, sup_ind l₁ l₂ hls₁ hls₂, u₁ ⊓ u₂, inf_ind u₁ u₂ hut₁ hut₂, Hne H, rfl⟩
#align is_pi_system_Ixx_mem isPiSystem_Ixx_mem
theorem isPiSystem_Ixx {Ixx : α → α → Set α} {p : α → α → Prop}
(Hne : ∀ {a b}, (Ixx a b).Nonempty → p a b)
(Hi : ∀ {a₁ b₁ a₂ b₂}, Ixx a₁ b₁ ∩ Ixx a₂ b₂ = Ixx (max a₁ a₂) (min b₁ b₂)) (f : ι → α)
(g : ι' → α) : @IsPiSystem α { S | ∃ i j, p (f i) (g j) ∧ Ixx (f i) (g j) = S } := by
simpa only [exists_range_iff] using isPiSystem_Ixx_mem (@Hne) (@Hi) (range f) (range g)
#align is_pi_system_Ixx isPiSystem_Ixx
theorem isPiSystem_Ioo_mem (s t : Set α) :
IsPiSystem { S | ∃ᵉ (l ∈ s) (u ∈ t), l < u ∧ Ioo l u = S } :=
isPiSystem_Ixx_mem (Ixx := Ioo) (fun ⟨_, hax, hxb⟩ => hax.trans hxb) Ioo_inter_Ioo s t
#align is_pi_system_Ioo_mem isPiSystem_Ioo_mem
theorem isPiSystem_Ioo (f : ι → α) (g : ι' → α) :
@IsPiSystem α { S | ∃ l u, f l < g u ∧ Ioo (f l) (g u) = S } :=
isPiSystem_Ixx (Ixx := Ioo) (fun ⟨_, hax, hxb⟩ => hax.trans hxb) Ioo_inter_Ioo f g
#align is_pi_system_Ioo isPiSystem_Ioo
theorem isPiSystem_Ioc_mem (s t : Set α) :
IsPiSystem { S | ∃ᵉ (l ∈ s) (u ∈ t), l < u ∧ Ioc l u = S } :=
isPiSystem_Ixx_mem (Ixx := Ioc) (fun ⟨_, hax, hxb⟩ => hax.trans_le hxb) Ioc_inter_Ioc s t
#align is_pi_system_Ioc_mem isPiSystem_Ioc_mem
theorem isPiSystem_Ioc (f : ι → α) (g : ι' → α) :
@IsPiSystem α { S | ∃ i j, f i < g j ∧ Ioc (f i) (g j) = S } :=
isPiSystem_Ixx (Ixx := Ioc) (fun ⟨_, hax, hxb⟩ => hax.trans_le hxb) Ioc_inter_Ioc f g
#align is_pi_system_Ioc isPiSystem_Ioc
theorem isPiSystem_Ico_mem (s t : Set α) :
IsPiSystem { S | ∃ᵉ (l ∈ s) (u ∈ t), l < u ∧ Ico l u = S } :=
isPiSystem_Ixx_mem (Ixx := Ico) (fun ⟨_, hax, hxb⟩ => hax.trans_lt hxb) Ico_inter_Ico s t
#align is_pi_system_Ico_mem isPiSystem_Ico_mem
theorem isPiSystem_Ico (f : ι → α) (g : ι' → α) :
@IsPiSystem α { S | ∃ i j, f i < g j ∧ Ico (f i) (g j) = S } :=
isPiSystem_Ixx (Ixx := Ico) (fun ⟨_, hax, hxb⟩ => hax.trans_lt hxb) Ico_inter_Ico f g
#align is_pi_system_Ico isPiSystem_Ico
theorem isPiSystem_Icc_mem (s t : Set α) :
IsPiSystem { S | ∃ᵉ (l ∈ s) (u ∈ t), l ≤ u ∧ Icc l u = S } :=
isPiSystem_Ixx_mem (Ixx := Icc) nonempty_Icc.1 (by exact Icc_inter_Icc) s t
#align is_pi_system_Icc_mem isPiSystem_Icc_mem
theorem isPiSystem_Icc (f : ι → α) (g : ι' → α) :
@IsPiSystem α { S | ∃ i j, f i ≤ g j ∧ Icc (f i) (g j) = S } :=
isPiSystem_Ixx (Ixx := Icc) nonempty_Icc.1 (by exact Icc_inter_Icc) f g
#align is_pi_system_Icc isPiSystem_Icc
end Order
/-- Given a collection `S` of subsets of `α`, then `generatePiSystem S` is the smallest
π-system containing `S`. -/
inductive generatePiSystem {α} (S : Set (Set α)) : Set (Set α)
| base {s : Set α} (h_s : s ∈ S) : generatePiSystem S s
| inter {s t : Set α} (h_s : generatePiSystem S s) (h_t : generatePiSystem S t)
(h_nonempty : (s ∩ t).Nonempty) : generatePiSystem S (s ∩ t)
#align generate_pi_system generatePiSystem
theorem isPiSystem_generatePiSystem {α} (S : Set (Set α)) : IsPiSystem (generatePiSystem S) :=
fun _ h_s _ h_t h_nonempty => generatePiSystem.inter h_s h_t h_nonempty
#align is_pi_system_generate_pi_system isPiSystem_generatePiSystem
theorem subset_generatePiSystem_self {α} (S : Set (Set α)) : S ⊆ generatePiSystem S := fun _ =>
generatePiSystem.base
#align subset_generate_pi_system_self subset_generatePiSystem_self
theorem generatePiSystem_subset_self {α} {S : Set (Set α)} (h_S : IsPiSystem S) :
generatePiSystem S ⊆ S := fun x h => by
induction' h with _ h_s s u _ _ h_nonempty h_s h_u
· exact h_s
· exact h_S _ h_s _ h_u h_nonempty
#align generate_pi_system_subset_self generatePiSystem_subset_self
theorem generatePiSystem_eq {α} {S : Set (Set α)} (h_pi : IsPiSystem S) : generatePiSystem S = S :=
Set.Subset.antisymm (generatePiSystem_subset_self h_pi) (subset_generatePiSystem_self S)
#align generate_pi_system_eq generatePiSystem_eq
theorem generatePiSystem_mono {α} {S T : Set (Set α)} (hST : S ⊆ T) :
generatePiSystem S ⊆ generatePiSystem T := fun t ht => by
induction' ht with s h_s s u _ _ h_nonempty h_s h_u
· exact generatePiSystem.base (Set.mem_of_subset_of_mem hST h_s)
· exact isPiSystem_generatePiSystem T _ h_s _ h_u h_nonempty
#align generate_pi_system_mono generatePiSystem_mono
theorem generatePiSystem_measurableSet {α} [M : MeasurableSpace α] {S : Set (Set α)}
(h_meas_S : ∀ s ∈ S, MeasurableSet s) (t : Set α) (h_in_pi : t ∈ generatePiSystem S) :
MeasurableSet t := by
induction' h_in_pi with s h_s s u _ _ _ h_s h_u
· apply h_meas_S _ h_s
· apply MeasurableSet.inter h_s h_u
#align generate_pi_system_measurable_set generatePiSystem_measurableSet
theorem generateFrom_measurableSet_of_generatePiSystem {α} {g : Set (Set α)} (t : Set α)
(ht : t ∈ generatePiSystem g) : MeasurableSet[generateFrom g] t :=
@generatePiSystem_measurableSet α (generateFrom g) g
(fun _ h_s_in_g => measurableSet_generateFrom h_s_in_g) t ht
#align generate_from_measurable_set_of_generate_pi_system generateFrom_measurableSet_of_generatePiSystem
| Mathlib/MeasureTheory/PiSystem.lean | 270 | 274 | theorem generateFrom_generatePiSystem_eq {α} {g : Set (Set α)} :
generateFrom (generatePiSystem g) = generateFrom g := by |
apply le_antisymm <;> apply generateFrom_le
· exact fun t h_t => generateFrom_measurableSet_of_generatePiSystem t h_t
· exact fun t h_t => measurableSet_generateFrom (generatePiSystem.base h_t)
|
/-
Copyright (c) 2020 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis
-/
import Mathlib.Algebra.Field.Basic
import Mathlib.Algebra.Order.Field.Defs
import Mathlib.Data.Tree.Basic
import Mathlib.Logic.Basic
import Mathlib.Tactic.NormNum.Core
import Mathlib.Util.SynthesizeUsing
import Mathlib.Util.Qq
/-!
# A tactic for canceling numeric denominators
This file defines tactics that cancel numeric denominators from field Expressions.
As an example, we want to transform a comparison `5*(a/3 + b/4) < c/3` into the equivalent
`5*(4*a + 3*b) < 4*c`.
## Implementation notes
The tooling here was originally written for `linarith`, not intended as an interactive tactic.
The interactive version has been split off because it is sometimes convenient to use on its own.
There are likely some rough edges to it.
Improving this tactic would be a good project for someone interested in learning tactic programming.
-/
open Lean Parser Tactic Mathlib Meta NormNum Qq
initialize registerTraceClass `CancelDenoms
namespace CancelDenoms
/-! ### Lemmas used in the procedure -/
theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α}
(h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by
rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1,
← mul_assoc n2, mul_comm n2, mul_assoc, h2]
#align cancel_factors.mul_subst CancelDenoms.mul_subst
theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α}
(h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by
rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul]
#align cancel_factors.div_subst CancelDenoms.div_subst
theorem cancel_factors_eq_div {α} [Field α] {n e e' : α}
(h : n * e = e') (h2 : n ≠ 0) : e = e' / n :=
eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h
#align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div
theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) :
n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *]
#align cancel_factors.add_subst CancelDenoms.add_subst
theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) :
n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg]
#align cancel_factors.sub_subst CancelDenoms.sub_subst
theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*]
#align cancel_factors.neg_subst CancelDenoms.neg_subst
theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ}
(h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by
rw [← h2, ← h1, mul_pow, mul_assoc]
theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) :
k * (e ⁻¹) = n := by rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2]
theorem cancel_factors_lt {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α}
(ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) :
(a < b) = (1 / gcd * (bd * a') < 1 / gcd * (ad * b')) := by
rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left]
· exact mul_pos had hbd
· exact one_div_pos.2 hgcd
#align cancel_factors.cancel_factors_lt CancelDenoms.cancel_factors_lt
theorem cancel_factors_le {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α}
(ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) :
(a ≤ b) = (1 / gcd * (bd * a') ≤ 1 / gcd * (ad * b')) := by
rw [mul_le_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_le_mul_left]
· exact mul_pos had hbd
· exact one_div_pos.2 hgcd
#align cancel_factors.cancel_factors_le CancelDenoms.cancel_factors_le
theorem cancel_factors_eq {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a')
(hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) :
(a = b) = (1 / gcd * (bd * a') = 1 / gcd * (ad * b')) := by
rw [← ha, ← hb, ← mul_assoc bd, ← mul_assoc ad, mul_comm bd]
ext; constructor
· rintro rfl
rfl
· intro h
simp only [← mul_assoc] at h
refine mul_left_cancel₀ (mul_ne_zero ?_ ?_) h
on_goal 1 => apply mul_ne_zero
on_goal 1 => apply div_ne_zero
· exact one_ne_zero
all_goals assumption
#align cancel_factors.cancel_factors_eq CancelDenoms.cancel_factors_eq
| Mathlib/Tactic/CancelDenoms/Core.lean | 105 | 109 | theorem cancel_factors_ne {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a')
(hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) :
(a ≠ b) = (1 / gcd * (bd * a') ≠ 1 / gcd * (ad * b')) := by |
classical
rw [eq_iff_iff, not_iff_not, cancel_factors_eq ha hb had hbd hgcd]
|
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Algebra.Group.Pi.Basic
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Data.Set.Lattice
#align_import data.set.intervals.pi from "leanprover-community/mathlib"@"e4bc74cbaf429d706cb9140902f7ca6c431e75a4"
/-!
# Intervals in `pi`-space
In this we prove various simple lemmas about intervals in `Π i, α i`. Closed intervals (`Ici x`,
`Iic x`, `Icc x y`) are equal to products of their projections to `α i`, while (semi-)open intervals
usually include the corresponding products as proper subsets.
-/
-- Porting note: Added, since dot notation no longer works on `Function.update`
open Function
variable {ι : Type*} {α : ι → Type*}
namespace Set
section PiPreorder
variable [∀ i, Preorder (α i)] (x y : ∀ i, α i)
@[simp]
theorem pi_univ_Ici : (pi univ fun i ↦ Ici (x i)) = Ici x :=
ext fun y ↦ by simp [Pi.le_def]
#align set.pi_univ_Ici Set.pi_univ_Ici
@[simp]
theorem pi_univ_Iic : (pi univ fun i ↦ Iic (x i)) = Iic x :=
ext fun y ↦ by simp [Pi.le_def]
#align set.pi_univ_Iic Set.pi_univ_Iic
@[simp]
theorem pi_univ_Icc : (pi univ fun i ↦ Icc (x i) (y i)) = Icc x y :=
ext fun y ↦ by simp [Pi.le_def, forall_and]
#align set.pi_univ_Icc Set.pi_univ_Icc
theorem piecewise_mem_Icc {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : ∀ i ∈ s, f₁ i ∈ Icc (g₁ i) (g₂ i)) (h₂ : ∀ i ∉ s, f₂ i ∈ Icc (g₁ i) (g₂ i)) :
s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
⟨le_piecewise (fun i hi ↦ (h₁ i hi).1) fun i hi ↦ (h₂ i hi).1,
piecewise_le (fun i hi ↦ (h₁ i hi).2) fun i hi ↦ (h₂ i hi).2⟩
#align set.piecewise_mem_Icc Set.piecewise_mem_Icc
theorem piecewise_mem_Icc' {s : Set ι} [∀ j, Decidable (j ∈ s)] {f₁ f₂ g₁ g₂ : ∀ i, α i}
(h₁ : f₁ ∈ Icc g₁ g₂) (h₂ : f₂ ∈ Icc g₁ g₂) : s.piecewise f₁ f₂ ∈ Icc g₁ g₂ :=
piecewise_mem_Icc (fun _ _ ↦ ⟨h₁.1 _, h₁.2 _⟩) fun _ _ ↦ ⟨h₂.1 _, h₂.2 _⟩
#align set.piecewise_mem_Icc' Set.piecewise_mem_Icc'
section Nonempty
variable [Nonempty ι]
theorem pi_univ_Ioi_subset : (pi univ fun i ↦ Ioi (x i)) ⊆ Ioi x := fun z hz ↦
⟨fun i ↦ le_of_lt <| hz i trivial, fun h ↦
(Nonempty.elim ‹Nonempty ι›) fun i ↦ not_lt_of_le (h i) (hz i trivial)⟩
#align set.pi_univ_Ioi_subset Set.pi_univ_Ioi_subset
theorem pi_univ_Iio_subset : (pi univ fun i ↦ Iio (x i)) ⊆ Iio x :=
@pi_univ_Ioi_subset ι (fun i ↦ (α i)ᵒᵈ) _ x _
#align set.pi_univ_Iio_subset Set.pi_univ_Iio_subset
theorem pi_univ_Ioo_subset : (pi univ fun i ↦ Ioo (x i) (y i)) ⊆ Ioo x y := fun _ hx ↦
⟨(pi_univ_Ioi_subset _) fun i hi ↦ (hx i hi).1, (pi_univ_Iio_subset _) fun i hi ↦ (hx i hi).2⟩
#align set.pi_univ_Ioo_subset Set.pi_univ_Ioo_subset
theorem pi_univ_Ioc_subset : (pi univ fun i ↦ Ioc (x i) (y i)) ⊆ Ioc x y := fun _ hx ↦
⟨(pi_univ_Ioi_subset _) fun i hi ↦ (hx i hi).1, fun i ↦ (hx i trivial).2⟩
#align set.pi_univ_Ioc_subset Set.pi_univ_Ioc_subset
theorem pi_univ_Ico_subset : (pi univ fun i ↦ Ico (x i) (y i)) ⊆ Ico x y := fun _ hx ↦
⟨fun i ↦ (hx i trivial).1, (pi_univ_Iio_subset _) fun i hi ↦ (hx i hi).2⟩
#align set.pi_univ_Ico_subset Set.pi_univ_Ico_subset
end Nonempty
variable [DecidableEq ι]
open Function (update)
| Mathlib/Order/Interval/Set/Pi.lean | 90 | 98 | theorem pi_univ_Ioc_update_left {x y : ∀ i, α i} {i₀ : ι} {m : α i₀} (hm : x i₀ ≤ m) :
(pi univ fun i ↦ Ioc (update x i₀ m i) (y i)) =
{ z | m < z i₀ } ∩ pi univ fun i ↦ Ioc (x i) (y i) := by |
have : Ioc m (y i₀) = Ioi m ∩ Ioc (x i₀) (y i₀) := by
rw [← Ioi_inter_Iic, ← Ioi_inter_Iic, ← inter_assoc,
inter_eq_self_of_subset_left (Ioi_subset_Ioi hm)]
simp_rw [univ_pi_update i₀ _ _ fun i z ↦ Ioc z (y i), ← pi_inter_compl ({i₀} : Set ι),
singleton_pi', ← inter_assoc, this]
rfl
|
/-
Copyright (c) 2023 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Rémy Degenne, Peter Pfaffelhuber
-/
import Mathlib.MeasureTheory.PiSystem
import Mathlib.Order.OmegaCompletePartialOrder
import Mathlib.Topology.Constructions
import Mathlib.MeasureTheory.MeasurableSpace.Basic
/-!
# π-systems of cylinders and square cylinders
The instance `MeasurableSpace.pi` on `∀ i, α i`, where each `α i` has a `MeasurableSpace` `m i`,
is defined as `⨆ i, (m i).comap (fun a => a i)`.
That is, a function `g : β → ∀ i, α i` is measurable iff for all `i`, the function `b ↦ g b i`
is measurable.
We define two π-systems generating `MeasurableSpace.pi`, cylinders and square cylinders.
## Main definitions
Given a finite set `s` of indices, a cylinder is the product of a set of `∀ i : s, α i` and of
`univ` on the other indices. A square cylinder is a cylinder for which the set on `∀ i : s, α i` is
a product set.
* `cylinder s S`: cylinder with base set `S : Set (∀ i : s, α i)` where `s` is a `Finset`
* `squareCylinders C` with `C : ∀ i, Set (Set (α i))`: set of all square cylinders such that for
all `i` in the finset defining the box, the projection to `α i` belongs to `C i`. The main
application of this is with `C i = {s : Set (α i) | MeasurableSet s}`.
* `measurableCylinders`: set of all cylinders with measurable base sets.
## Main statements
* `generateFrom_squareCylinders`: square cylinders formed from measurable sets generate the product
σ-algebra
* `generateFrom_measurableCylinders`: cylinders formed from measurable sets generate the
product σ-algebra
-/
open Set
namespace MeasureTheory
variable {ι : Type _} {α : ι → Type _}
section squareCylinders
/-- Given a finite set `s` of indices, a square cylinder is the product of a set `S` of
`∀ i : s, α i` and of `univ` on the other indices. The set `S` is a product of sets `t i` such that
for all `i : s`, `t i ∈ C i`.
`squareCylinders` is the set of all such squareCylinders. -/
def squareCylinders (C : ∀ i, Set (Set (α i))) : Set (Set (∀ i, α i)) :=
{S | ∃ s : Finset ι, ∃ t ∈ univ.pi C, S = (s : Set ι).pi t}
theorem squareCylinders_eq_iUnion_image (C : ∀ i, Set (Set (α i))) :
squareCylinders C = ⋃ s : Finset ι, (fun t ↦ (s : Set ι).pi t) '' univ.pi C := by
ext1 f
simp only [squareCylinders, mem_iUnion, mem_image, mem_univ_pi, exists_prop, mem_setOf_eq,
eq_comm (a := f)]
theorem isPiSystem_squareCylinders {C : ∀ i, Set (Set (α i))} (hC : ∀ i, IsPiSystem (C i))
(hC_univ : ∀ i, univ ∈ C i) :
IsPiSystem (squareCylinders C) := by
rintro S₁ ⟨s₁, t₁, h₁, rfl⟩ S₂ ⟨s₂, t₂, h₂, rfl⟩ hst_nonempty
classical
let t₁' := s₁.piecewise t₁ (fun i ↦ univ)
let t₂' := s₂.piecewise t₂ (fun i ↦ univ)
have h1 : ∀ i ∈ (s₁ : Set ι), t₁ i = t₁' i :=
fun i hi ↦ (Finset.piecewise_eq_of_mem _ _ _ hi).symm
have h1' : ∀ i ∉ (s₁ : Set ι), t₁' i = univ :=
fun i hi ↦ Finset.piecewise_eq_of_not_mem _ _ _ hi
have h2 : ∀ i ∈ (s₂ : Set ι), t₂ i = t₂' i :=
fun i hi ↦ (Finset.piecewise_eq_of_mem _ _ _ hi).symm
have h2' : ∀ i ∉ (s₂ : Set ι), t₂' i = univ :=
fun i hi ↦ Finset.piecewise_eq_of_not_mem _ _ _ hi
rw [Set.pi_congr rfl h1, Set.pi_congr rfl h2, ← union_pi_inter h1' h2']
refine ⟨s₁ ∪ s₂, fun i ↦ t₁' i ∩ t₂' i, ?_, ?_⟩
· rw [mem_univ_pi]
intro i
have : (t₁' i ∩ t₂' i).Nonempty := by
obtain ⟨f, hf⟩ := hst_nonempty
rw [Set.pi_congr rfl h1, Set.pi_congr rfl h2, mem_inter_iff, mem_pi, mem_pi] at hf
refine ⟨f i, ⟨?_, ?_⟩⟩
· by_cases hi₁ : i ∈ s₁
· exact hf.1 i hi₁
· rw [h1' i hi₁]
exact mem_univ _
· by_cases hi₂ : i ∈ s₂
· exact hf.2 i hi₂
· rw [h2' i hi₂]
exact mem_univ _
refine hC i _ ?_ _ ?_ this
· by_cases hi₁ : i ∈ s₁
· rw [← h1 i hi₁]
exact h₁ i (mem_univ _)
· rw [h1' i hi₁]
exact hC_univ i
· by_cases hi₂ : i ∈ s₂
· rw [← h2 i hi₂]
exact h₂ i (mem_univ _)
· rw [h2' i hi₂]
exact hC_univ i
· rw [Finset.coe_union]
theorem comap_eval_le_generateFrom_squareCylinders_singleton
(α : ι → Type*) [m : ∀ i, MeasurableSpace (α i)] (i : ι) :
MeasurableSpace.comap (Function.eval i) (m i) ≤
MeasurableSpace.generateFrom
((fun t ↦ ({i} : Set ι).pi t) '' univ.pi fun i ↦ {s : Set (α i) | MeasurableSet s}) := by
simp only [Function.eval, singleton_pi, ge_iff_le]
rw [MeasurableSpace.comap_eq_generateFrom]
refine MeasurableSpace.generateFrom_mono fun S ↦ ?_
simp only [mem_setOf_eq, mem_image, mem_univ_pi, forall_exists_index, and_imp]
intro t ht h
classical
refine ⟨fun j ↦ if hji : j = i then by convert t else univ, fun j ↦ ?_, ?_⟩
· by_cases hji : j = i
· simp only [hji, eq_self_iff_true, eq_mpr_eq_cast, dif_pos]
convert ht
simp only [id_eq, cast_heq]
· simp only [hji, not_false_iff, dif_neg, MeasurableSet.univ]
· simp only [id_eq, eq_mpr_eq_cast, ← h]
ext1 x
simp only [singleton_pi, Function.eval, cast_eq, dite_eq_ite, ite_true, mem_preimage]
/-- The square cylinders formed from measurable sets generate the product σ-algebra. -/
theorem generateFrom_squareCylinders [∀ i, MeasurableSpace (α i)] :
MeasurableSpace.generateFrom (squareCylinders fun i ↦ {s : Set (α i) | MeasurableSet s}) =
MeasurableSpace.pi := by
apply le_antisymm
· rw [MeasurableSpace.generateFrom_le_iff]
rintro S ⟨s, t, h, rfl⟩
simp only [mem_univ_pi, mem_setOf_eq] at h
exact MeasurableSet.pi (Finset.countable_toSet _) (fun i _ ↦ h i)
· refine iSup_le fun i ↦ ?_
refine (comap_eval_le_generateFrom_squareCylinders_singleton α i).trans ?_
refine MeasurableSpace.generateFrom_mono ?_
rw [← Finset.coe_singleton, squareCylinders_eq_iUnion_image]
exact subset_iUnion
(fun (s : Finset ι) ↦
(fun t : ∀ i, Set (α i) ↦ (s : Set ι).pi t) '' univ.pi (fun i ↦ setOf MeasurableSet))
({i} : Finset ι)
end squareCylinders
section cylinder
/-- Given a finite set `s` of indices, a cylinder is the preimage of a set `S` of `∀ i : s, α i` by
the projection from `∀ i, α i` to `∀ i : s, α i`. -/
def cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : Set (∀ i, α i) :=
(fun (f : ∀ i, α i) (i : s) ↦ f i) ⁻¹' S
@[simp]
theorem mem_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) (f : ∀ i, α i) :
f ∈ cylinder s S ↔ (fun i : s ↦ f i) ∈ S :=
mem_preimage
@[simp]
theorem cylinder_empty (s : Finset ι) : cylinder s (∅ : Set (∀ i : s, α i)) = ∅ := by
rw [cylinder, preimage_empty]
@[simp]
theorem cylinder_univ (s : Finset ι) : cylinder s (univ : Set (∀ i : s, α i)) = univ := by
rw [cylinder, preimage_univ]
@[simp]
theorem cylinder_eq_empty_iff [h_nonempty : Nonempty (∀ i, α i)] (s : Finset ι)
(S : Set (∀ i : s, α i)) :
cylinder s S = ∅ ↔ S = ∅ := by
refine ⟨fun h ↦ ?_, fun h ↦ by (rw [h]; exact cylinder_empty _)⟩
by_contra hS
rw [← Ne, ← nonempty_iff_ne_empty] at hS
let f := hS.some
have hf : f ∈ S := hS.choose_spec
classical
let f' : ∀ i, α i := fun i ↦ if hi : i ∈ s then f ⟨i, hi⟩ else h_nonempty.some i
have hf' : f' ∈ cylinder s S := by
rw [mem_cylinder]
simpa only [f', Finset.coe_mem, dif_pos]
rw [h] at hf'
exact not_mem_empty _ hf'
theorem inter_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i))
[DecidableEq ι] :
cylinder s₁ S₁ ∩ cylinder s₂ S₂ =
cylinder (s₁ ∪ s₂)
((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∩
(fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by
ext1 f; simp only [mem_inter_iff, mem_cylinder, mem_setOf_eq]; rfl
theorem inter_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) :
cylinder s S₁ ∩ cylinder s S₂ = cylinder s (S₁ ∩ S₂) := by
classical rw [inter_cylinder]; rfl
theorem union_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i))
[DecidableEq ι] :
cylinder s₁ S₁ ∪ cylinder s₂ S₂ =
cylinder (s₁ ∪ s₂)
((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∪
(fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by
ext1 f; simp only [mem_union, mem_cylinder, mem_setOf_eq]; rfl
theorem union_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) :
cylinder s S₁ ∪ cylinder s S₂ = cylinder s (S₁ ∪ S₂) := by
classical rw [union_cylinder]; rfl
theorem compl_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) :
(cylinder s S)ᶜ = cylinder s (Sᶜ) := by
ext1 f; simp only [mem_compl_iff, mem_cylinder]
theorem diff_cylinder_same (s : Finset ι) (S T : Set (∀ i : s, α i)) :
cylinder s S \ cylinder s T = cylinder s (S \ T) := by
ext1 f; simp only [mem_diff, mem_cylinder]
theorem eq_of_cylinder_eq_of_subset [h_nonempty : Nonempty (∀ i, α i)] {I J : Finset ι}
{S : Set (∀ i : I, α i)} {T : Set (∀ i : J, α i)} (h_eq : cylinder I S = cylinder J T)
(hJI : J ⊆ I) :
S = (fun f : ∀ i : I, α i ↦ fun j : J ↦ f ⟨j, hJI j.prop⟩) ⁻¹' T := by
rw [Set.ext_iff] at h_eq
simp only [mem_cylinder] at h_eq
ext1 f
simp only [mem_preimage]
classical
specialize h_eq fun i ↦ if hi : i ∈ I then f ⟨i, hi⟩ else h_nonempty.some i
have h_mem : ∀ j : J, ↑j ∈ I := fun j ↦ hJI j.prop
simp only [Finset.coe_mem, dite_true, h_mem] at h_eq
exact h_eq
theorem cylinder_eq_cylinder_union [DecidableEq ι] (I : Finset ι) (S : Set (∀ i : I, α i))
(J : Finset ι) :
cylinder I S =
cylinder (I ∪ J) ((fun f ↦ fun j : I ↦ f ⟨j, Finset.mem_union_left J j.prop⟩) ⁻¹' S) := by
ext1 f; simp only [mem_cylinder, mem_preimage]
theorem disjoint_cylinder_iff [Nonempty (∀ i, α i)] {s t : Finset ι} {S : Set (∀ i : s, α i)}
{T : Set (∀ i : t, α i)} [DecidableEq ι] :
Disjoint (cylinder s S) (cylinder t T) ↔
Disjoint
((fun f : ∀ i : (s ∪ t : Finset ι), α i
↦ fun j : s ↦ f ⟨j, Finset.mem_union_left t j.prop⟩) ⁻¹' S)
((fun f ↦ fun j : t ↦ f ⟨j, Finset.mem_union_right s j.prop⟩) ⁻¹' T) := by
simp_rw [Set.disjoint_iff, subset_empty_iff, inter_cylinder, cylinder_eq_empty_iff]
theorem IsClosed.cylinder [∀ i, TopologicalSpace (α i)] (s : Finset ι) {S : Set (∀ i : s, α i)}
(hs : IsClosed S) : IsClosed (cylinder s S) :=
hs.preimage (continuous_pi fun _ ↦ continuous_apply _)
theorem _root_.MeasurableSet.cylinder [∀ i, MeasurableSpace (α i)] (s : Finset ι)
{S : Set (∀ i : s, α i)} (hS : MeasurableSet S) :
MeasurableSet (cylinder s S) :=
measurable_pi_lambda _ (fun _ ↦ measurable_pi_apply _) hS
end cylinder
section cylinders
/-- Given a finite set `s` of indices, a cylinder is the preimage of a set `S` of `∀ i : s, α i` by
the projection from `∀ i, α i` to `∀ i : s, α i`.
`measurableCylinders` is the set of all cylinders with measurable base `S`. -/
def measurableCylinders (α : ι → Type*) [∀ i, MeasurableSpace (α i)] : Set (Set (∀ i, α i)) :=
⋃ (s) (S) (_ : MeasurableSet S), {cylinder s S}
theorem empty_mem_measurableCylinders (α : ι → Type*) [∀ i, MeasurableSpace (α i)] :
∅ ∈ measurableCylinders α := by
simp_rw [measurableCylinders, mem_iUnion, mem_singleton_iff]
exact ⟨∅, ∅, MeasurableSet.empty, (cylinder_empty _).symm⟩
variable [∀ i, MeasurableSpace (α i)] {s t : Set (∀ i, α i)}
@[simp]
| Mathlib/MeasureTheory/Constructions/Cylinders.lean | 273 | 275 | theorem mem_measurableCylinders (t : Set (∀ i, α i)) :
t ∈ measurableCylinders α ↔ ∃ s S, MeasurableSet S ∧ t = cylinder s S := by |
simp_rw [measurableCylinders, mem_iUnion, exists_prop, mem_singleton_iff]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn
-/
import Mathlib.Data.Sum.Order
import Mathlib.Order.InitialSeg
import Mathlib.SetTheory.Cardinal.Basic
import Mathlib.Tactic.PPWithUniv
#align_import set_theory.ordinal.basic from "leanprover-community/mathlib"@"8ea5598db6caeddde6cb734aa179cc2408dbd345"
/-!
# Ordinals
Ordinals are defined as equivalences of well-ordered sets under order isomorphism. They are endowed
with a total order, where an ordinal is smaller than another one if it embeds into it as an
initial segment (or, equivalently, in any way). This total order is well founded.
## Main definitions
* `Ordinal`: the type of ordinals (in a given universe)
* `Ordinal.type r`: given a well-founded order `r`, this is the corresponding ordinal
* `Ordinal.typein r a`: given a well-founded order `r` on a type `α`, and `a : α`, the ordinal
corresponding to all elements smaller than `a`.
* `enum r o h`: given a well-order `r` on a type `α`, and an ordinal `o` strictly smaller than
the ordinal corresponding to `r` (this is the assumption `h`), returns the `o`-th element of `α`.
In other words, the elements of `α` can be enumerated using ordinals up to `type r`.
* `Ordinal.card o`: the cardinality of an ordinal `o`.
* `Ordinal.lift` lifts an ordinal in universe `u` to an ordinal in universe `max u v`.
For a version registering additionally that this is an initial segment embedding, see
`Ordinal.lift.initialSeg`.
For a version registering that it is a principal segment embedding if `u < v`, see
`Ordinal.lift.principalSeg`.
* `Ordinal.omega` or `ω` is the order type of `ℕ`. This definition is universe polymorphic:
`Ordinal.omega.{u} : Ordinal.{u}` (contrast with `ℕ : Type`, which lives in a specific
universe). In some cases the universe level has to be given explicitly.
* `o₁ + o₂` is the order on the disjoint union of `o₁` and `o₂` obtained by declaring that
every element of `o₁` is smaller than every element of `o₂`.
The main properties of addition (and the other operations on ordinals) are stated and proved in
`Mathlib/SetTheory/Ordinal/Arithmetic.lean`.
Here, we only introduce it and prove its basic properties to deduce the fact that the order on
ordinals is total (and well founded).
* `succ o` is the successor of the ordinal `o`.
* `Cardinal.ord c`: when `c` is a cardinal, `ord c` is the smallest ordinal with this cardinality.
It is the canonical way to represent a cardinal with an ordinal.
A conditionally complete linear order with bot structure is registered on ordinals, where `⊥` is
`0`, the ordinal corresponding to the empty type, and `Inf` is the minimum for nonempty sets and `0`
for the empty set by convention.
## Notations
* `ω` is a notation for the first infinite ordinal in the locale `Ordinal`.
-/
assert_not_exists Module
assert_not_exists Field
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal InitialSeg
universe u v w
variable {α : Type u} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop}
{t : γ → γ → Prop}
/-! ### Well order on an arbitrary type -/
section WellOrderingThm
-- Porting note: `parameter` does not work
-- parameter {σ : Type u}
variable {σ : Type u}
open Function
theorem nonempty_embedding_to_cardinal : Nonempty (σ ↪ Cardinal.{u}) :=
(Embedding.total _ _).resolve_left fun ⟨⟨f, hf⟩⟩ =>
let g : σ → Cardinal.{u} := invFun f
let ⟨x, (hx : g x = 2 ^ sum g)⟩ := invFun_surjective hf (2 ^ sum g)
have : g x ≤ sum g := le_sum.{u, u} g x
not_le_of_gt (by rw [hx]; exact cantor _) this
#align nonempty_embedding_to_cardinal nonempty_embedding_to_cardinal
/-- An embedding of any type to the set of cardinals. -/
def embeddingToCardinal : σ ↪ Cardinal.{u} :=
Classical.choice nonempty_embedding_to_cardinal
#align embedding_to_cardinal embeddingToCardinal
/-- Any type can be endowed with a well order, obtained by pulling back the well order over
cardinals by some embedding. -/
def WellOrderingRel : σ → σ → Prop :=
embeddingToCardinal ⁻¹'o (· < ·)
#align well_ordering_rel WellOrderingRel
instance WellOrderingRel.isWellOrder : IsWellOrder σ WellOrderingRel :=
(RelEmbedding.preimage _ _).isWellOrder
#align well_ordering_rel.is_well_order WellOrderingRel.isWellOrder
instance IsWellOrder.subtype_nonempty : Nonempty { r // IsWellOrder σ r } :=
⟨⟨WellOrderingRel, inferInstance⟩⟩
#align is_well_order.subtype_nonempty IsWellOrder.subtype_nonempty
end WellOrderingThm
/-! ### Definition of ordinals -/
/-- Bundled structure registering a well order on a type. Ordinals will be defined as a quotient
of this type. -/
structure WellOrder : Type (u + 1) where
/-- The underlying type of the order. -/
α : Type u
/-- The underlying relation of the order. -/
r : α → α → Prop
/-- The proposition that `r` is a well-ordering for `α`. -/
wo : IsWellOrder α r
set_option linter.uppercaseLean3 false in
#align Well_order WellOrder
attribute [instance] WellOrder.wo
namespace WellOrder
instance inhabited : Inhabited WellOrder :=
⟨⟨PEmpty, _, inferInstanceAs (IsWellOrder PEmpty EmptyRelation)⟩⟩
@[simp]
theorem eta (o : WellOrder) : mk o.α o.r o.wo = o := by
cases o
rfl
set_option linter.uppercaseLean3 false in
#align Well_order.eta WellOrder.eta
end WellOrder
/-- Equivalence relation on well orders on arbitrary types in universe `u`, given by order
isomorphism. -/
instance Ordinal.isEquivalent : Setoid WellOrder where
r := fun ⟨_, r, _⟩ ⟨_, s, _⟩ => Nonempty (r ≃r s)
iseqv :=
⟨fun _ => ⟨RelIso.refl _⟩, fun ⟨e⟩ => ⟨e.symm⟩, fun ⟨e₁⟩ ⟨e₂⟩ => ⟨e₁.trans e₂⟩⟩
#align ordinal.is_equivalent Ordinal.isEquivalent
/-- `Ordinal.{u}` is the type of well orders in `Type u`, up to order isomorphism. -/
@[pp_with_univ]
def Ordinal : Type (u + 1) :=
Quotient Ordinal.isEquivalent
#align ordinal Ordinal
instance hasWellFoundedOut (o : Ordinal) : WellFoundedRelation o.out.α :=
⟨o.out.r, o.out.wo.wf⟩
#align has_well_founded_out hasWellFoundedOut
instance linearOrderOut (o : Ordinal) : LinearOrder o.out.α :=
IsWellOrder.linearOrder o.out.r
#align linear_order_out linearOrderOut
instance isWellOrder_out_lt (o : Ordinal) : IsWellOrder o.out.α (· < ·) :=
o.out.wo
#align is_well_order_out_lt isWellOrder_out_lt
namespace Ordinal
/-! ### Basic properties of the order type -/
/-- The order type of a well order is an ordinal. -/
def type (r : α → α → Prop) [wo : IsWellOrder α r] : Ordinal :=
⟦⟨α, r, wo⟩⟧
#align ordinal.type Ordinal.type
instance zero : Zero Ordinal :=
⟨type <| @EmptyRelation PEmpty⟩
instance inhabited : Inhabited Ordinal :=
⟨0⟩
instance one : One Ordinal :=
⟨type <| @EmptyRelation PUnit⟩
/-- The order type of an element inside a well order. For the embedding as a principal segment, see
`typein.principalSeg`. -/
def typein (r : α → α → Prop) [IsWellOrder α r] (a : α) : Ordinal :=
type (Subrel r { b | r b a })
#align ordinal.typein Ordinal.typein
@[simp]
theorem type_def' (w : WellOrder) : ⟦w⟧ = type w.r := by
cases w
rfl
#align ordinal.type_def' Ordinal.type_def'
@[simp, nolint simpNF] -- Porting note (#10675): dsimp can not prove this
theorem type_def (r) [wo : IsWellOrder α r] : (⟦⟨α, r, wo⟩⟧ : Ordinal) = type r := by
rfl
#align ordinal.type_def Ordinal.type_def
@[simp]
theorem type_out (o : Ordinal) : Ordinal.type o.out.r = o := by
rw [Ordinal.type, WellOrder.eta, Quotient.out_eq]
#align ordinal.type_out Ordinal.type_out
theorem type_eq {α β} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r] [IsWellOrder β s] :
type r = type s ↔ Nonempty (r ≃r s) :=
Quotient.eq'
#align ordinal.type_eq Ordinal.type_eq
theorem _root_.RelIso.ordinal_type_eq {α β} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r]
[IsWellOrder β s] (h : r ≃r s) : type r = type s :=
type_eq.2 ⟨h⟩
#align rel_iso.ordinal_type_eq RelIso.ordinal_type_eq
@[simp]
theorem type_lt (o : Ordinal) : type ((· < ·) : o.out.α → o.out.α → Prop) = o :=
(type_def' _).symm.trans <| Quotient.out_eq o
#align ordinal.type_lt Ordinal.type_lt
theorem type_eq_zero_of_empty (r) [IsWellOrder α r] [IsEmpty α] : type r = 0 :=
(RelIso.relIsoOfIsEmpty r _).ordinal_type_eq
#align ordinal.type_eq_zero_of_empty Ordinal.type_eq_zero_of_empty
@[simp]
theorem type_eq_zero_iff_isEmpty [IsWellOrder α r] : type r = 0 ↔ IsEmpty α :=
⟨fun h =>
let ⟨s⟩ := type_eq.1 h
s.toEquiv.isEmpty,
@type_eq_zero_of_empty α r _⟩
#align ordinal.type_eq_zero_iff_is_empty Ordinal.type_eq_zero_iff_isEmpty
theorem type_ne_zero_iff_nonempty [IsWellOrder α r] : type r ≠ 0 ↔ Nonempty α := by simp
#align ordinal.type_ne_zero_iff_nonempty Ordinal.type_ne_zero_iff_nonempty
theorem type_ne_zero_of_nonempty (r) [IsWellOrder α r] [h : Nonempty α] : type r ≠ 0 :=
type_ne_zero_iff_nonempty.2 h
#align ordinal.type_ne_zero_of_nonempty Ordinal.type_ne_zero_of_nonempty
theorem type_pEmpty : type (@EmptyRelation PEmpty) = 0 :=
rfl
#align ordinal.type_pempty Ordinal.type_pEmpty
theorem type_empty : type (@EmptyRelation Empty) = 0 :=
type_eq_zero_of_empty _
#align ordinal.type_empty Ordinal.type_empty
theorem type_eq_one_of_unique (r) [IsWellOrder α r] [Unique α] : type r = 1 :=
(RelIso.relIsoOfUniqueOfIrrefl r _).ordinal_type_eq
#align ordinal.type_eq_one_of_unique Ordinal.type_eq_one_of_unique
@[simp]
theorem type_eq_one_iff_unique [IsWellOrder α r] : type r = 1 ↔ Nonempty (Unique α) :=
⟨fun h =>
let ⟨s⟩ := type_eq.1 h
⟨s.toEquiv.unique⟩,
fun ⟨h⟩ => @type_eq_one_of_unique α r _ h⟩
#align ordinal.type_eq_one_iff_unique Ordinal.type_eq_one_iff_unique
theorem type_pUnit : type (@EmptyRelation PUnit) = 1 :=
rfl
#align ordinal.type_punit Ordinal.type_pUnit
theorem type_unit : type (@EmptyRelation Unit) = 1 :=
rfl
#align ordinal.type_unit Ordinal.type_unit
@[simp]
theorem out_empty_iff_eq_zero {o : Ordinal} : IsEmpty o.out.α ↔ o = 0 := by
rw [← @type_eq_zero_iff_isEmpty o.out.α (· < ·), type_lt]
#align ordinal.out_empty_iff_eq_zero Ordinal.out_empty_iff_eq_zero
theorem eq_zero_of_out_empty (o : Ordinal) [h : IsEmpty o.out.α] : o = 0 :=
out_empty_iff_eq_zero.1 h
#align ordinal.eq_zero_of_out_empty Ordinal.eq_zero_of_out_empty
instance isEmpty_out_zero : IsEmpty (0 : Ordinal).out.α :=
out_empty_iff_eq_zero.2 rfl
#align ordinal.is_empty_out_zero Ordinal.isEmpty_out_zero
@[simp]
theorem out_nonempty_iff_ne_zero {o : Ordinal} : Nonempty o.out.α ↔ o ≠ 0 := by
rw [← @type_ne_zero_iff_nonempty o.out.α (· < ·), type_lt]
#align ordinal.out_nonempty_iff_ne_zero Ordinal.out_nonempty_iff_ne_zero
theorem ne_zero_of_out_nonempty (o : Ordinal) [h : Nonempty o.out.α] : o ≠ 0 :=
out_nonempty_iff_ne_zero.1 h
#align ordinal.ne_zero_of_out_nonempty Ordinal.ne_zero_of_out_nonempty
protected theorem one_ne_zero : (1 : Ordinal) ≠ 0 :=
type_ne_zero_of_nonempty _
#align ordinal.one_ne_zero Ordinal.one_ne_zero
instance nontrivial : Nontrivial Ordinal.{u} :=
⟨⟨1, 0, Ordinal.one_ne_zero⟩⟩
--@[simp] -- Porting note: not in simp nf, added aux lemma below
theorem type_preimage {α β : Type u} (r : α → α → Prop) [IsWellOrder α r] (f : β ≃ α) :
type (f ⁻¹'o r) = type r :=
(RelIso.preimage f r).ordinal_type_eq
#align ordinal.type_preimage Ordinal.type_preimage
@[simp, nolint simpNF] -- `simpNF` incorrectly complains the LHS doesn't simplify.
theorem type_preimage_aux {α β : Type u} (r : α → α → Prop) [IsWellOrder α r] (f : β ≃ α) :
@type _ (fun x y => r (f x) (f y)) (inferInstanceAs (IsWellOrder β (↑f ⁻¹'o r))) = type r := by
convert (RelIso.preimage f r).ordinal_type_eq
@[elab_as_elim]
theorem inductionOn {C : Ordinal → Prop} (o : Ordinal)
(H : ∀ (α r) [IsWellOrder α r], C (type r)) : C o :=
Quot.inductionOn o fun ⟨α, r, wo⟩ => @H α r wo
#align ordinal.induction_on Ordinal.inductionOn
/-! ### The order on ordinals -/
/--
For `Ordinal`:
* less-equal is defined such that well orders `r` and `s` satisfy `type r ≤ type s` if there exists
a function embedding `r` as an *initial* segment of `s`.
* less-than is defined such that well orders `r` and `s` satisfy `type r < type s` if there exists
a function embedding `r` as a *principal* segment of `s`.
-/
instance partialOrder : PartialOrder Ordinal where
le a b :=
Quotient.liftOn₂ a b (fun ⟨_, r, _⟩ ⟨_, s, _⟩ => Nonempty (r ≼i s))
fun _ _ _ _ ⟨f⟩ ⟨g⟩ =>
propext
⟨fun ⟨h⟩ => ⟨(InitialSeg.ofIso f.symm).trans <| h.trans (InitialSeg.ofIso g)⟩, fun ⟨h⟩ =>
⟨(InitialSeg.ofIso f).trans <| h.trans (InitialSeg.ofIso g.symm)⟩⟩
lt a b :=
Quotient.liftOn₂ a b (fun ⟨_, r, _⟩ ⟨_, s, _⟩ => Nonempty (r ≺i s))
fun _ _ _ _ ⟨f⟩ ⟨g⟩ =>
propext
⟨fun ⟨h⟩ => ⟨PrincipalSeg.equivLT f.symm <| h.ltLe (InitialSeg.ofIso g)⟩, fun ⟨h⟩ =>
⟨PrincipalSeg.equivLT f <| h.ltLe (InitialSeg.ofIso g.symm)⟩⟩
le_refl := Quot.ind fun ⟨_, _, _⟩ => ⟨InitialSeg.refl _⟩
le_trans a b c :=
Quotient.inductionOn₃ a b c fun _ _ _ ⟨f⟩ ⟨g⟩ => ⟨f.trans g⟩
lt_iff_le_not_le a b :=
Quotient.inductionOn₂ a b fun _ _ =>
⟨fun ⟨f⟩ => ⟨⟨f⟩, fun ⟨g⟩ => (f.ltLe g).irrefl⟩, fun ⟨⟨f⟩, h⟩ =>
Sum.recOn f.ltOrEq (fun g => ⟨g⟩) fun g => (h ⟨InitialSeg.ofIso g.symm⟩).elim⟩
le_antisymm a b :=
Quotient.inductionOn₂ a b fun _ _ ⟨h₁⟩ ⟨h₂⟩ =>
Quot.sound ⟨InitialSeg.antisymm h₁ h₂⟩
theorem type_le_iff {α β} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r]
[IsWellOrder β s] : type r ≤ type s ↔ Nonempty (r ≼i s) :=
Iff.rfl
#align ordinal.type_le_iff Ordinal.type_le_iff
theorem type_le_iff' {α β} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r]
[IsWellOrder β s] : type r ≤ type s ↔ Nonempty (r ↪r s) :=
⟨fun ⟨f⟩ => ⟨f⟩, fun ⟨f⟩ => ⟨f.collapse⟩⟩
#align ordinal.type_le_iff' Ordinal.type_le_iff'
theorem _root_.InitialSeg.ordinal_type_le {α β} {r : α → α → Prop} {s : β → β → Prop}
[IsWellOrder α r] [IsWellOrder β s] (h : r ≼i s) : type r ≤ type s :=
⟨h⟩
#align initial_seg.ordinal_type_le InitialSeg.ordinal_type_le
theorem _root_.RelEmbedding.ordinal_type_le {α β} {r : α → α → Prop} {s : β → β → Prop}
[IsWellOrder α r] [IsWellOrder β s] (h : r ↪r s) : type r ≤ type s :=
⟨h.collapse⟩
#align rel_embedding.ordinal_type_le RelEmbedding.ordinal_type_le
@[simp]
theorem type_lt_iff {α β} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r]
[IsWellOrder β s] : type r < type s ↔ Nonempty (r ≺i s) :=
Iff.rfl
#align ordinal.type_lt_iff Ordinal.type_lt_iff
theorem _root_.PrincipalSeg.ordinal_type_lt {α β} {r : α → α → Prop} {s : β → β → Prop}
[IsWellOrder α r] [IsWellOrder β s] (h : r ≺i s) : type r < type s :=
⟨h⟩
#align principal_seg.ordinal_type_lt PrincipalSeg.ordinal_type_lt
@[simp]
protected theorem zero_le (o : Ordinal) : 0 ≤ o :=
inductionOn o fun _ r _ => (InitialSeg.ofIsEmpty _ r).ordinal_type_le
#align ordinal.zero_le Ordinal.zero_le
instance orderBot : OrderBot Ordinal where
bot := 0
bot_le := Ordinal.zero_le
@[simp]
theorem bot_eq_zero : (⊥ : Ordinal) = 0 :=
rfl
#align ordinal.bot_eq_zero Ordinal.bot_eq_zero
@[simp]
protected theorem le_zero {o : Ordinal} : o ≤ 0 ↔ o = 0 :=
le_bot_iff
#align ordinal.le_zero Ordinal.le_zero
protected theorem pos_iff_ne_zero {o : Ordinal} : 0 < o ↔ o ≠ 0 :=
bot_lt_iff_ne_bot
#align ordinal.pos_iff_ne_zero Ordinal.pos_iff_ne_zero
protected theorem not_lt_zero (o : Ordinal) : ¬o < 0 :=
not_lt_bot
#align ordinal.not_lt_zero Ordinal.not_lt_zero
theorem eq_zero_or_pos : ∀ a : Ordinal, a = 0 ∨ 0 < a :=
eq_bot_or_bot_lt
#align ordinal.eq_zero_or_pos Ordinal.eq_zero_or_pos
instance zeroLEOneClass : ZeroLEOneClass Ordinal :=
⟨Ordinal.zero_le _⟩
instance NeZero.one : NeZero (1 : Ordinal) :=
⟨Ordinal.one_ne_zero⟩
#align ordinal.ne_zero.one Ordinal.NeZero.one
/-- Given two ordinals `α ≤ β`, then `initialSegOut α β` is the initial segment embedding
of `α` to `β`, as map from a model type for `α` to a model type for `β`. -/
def initialSegOut {α β : Ordinal} (h : α ≤ β) :
InitialSeg ((· < ·) : α.out.α → α.out.α → Prop) ((· < ·) : β.out.α → β.out.α → Prop) := by
change α.out.r ≼i β.out.r
rw [← Quotient.out_eq α, ← Quotient.out_eq β] at h; revert h
cases Quotient.out α; cases Quotient.out β; exact Classical.choice
#align ordinal.initial_seg_out Ordinal.initialSegOut
/-- Given two ordinals `α < β`, then `principalSegOut α β` is the principal segment embedding
of `α` to `β`, as map from a model type for `α` to a model type for `β`. -/
def principalSegOut {α β : Ordinal} (h : α < β) :
PrincipalSeg ((· < ·) : α.out.α → α.out.α → Prop) ((· < ·) : β.out.α → β.out.α → Prop) := by
change α.out.r ≺i β.out.r
rw [← Quotient.out_eq α, ← Quotient.out_eq β] at h; revert h
cases Quotient.out α; cases Quotient.out β; exact Classical.choice
#align ordinal.principal_seg_out Ordinal.principalSegOut
theorem typein_lt_type (r : α → α → Prop) [IsWellOrder α r] (a : α) : typein r a < type r :=
⟨PrincipalSeg.ofElement _ _⟩
#align ordinal.typein_lt_type Ordinal.typein_lt_type
theorem typein_lt_self {o : Ordinal} (i : o.out.α) :
@typein _ (· < ·) (isWellOrder_out_lt _) i < o := by
simp_rw [← type_lt o]
apply typein_lt_type
#align ordinal.typein_lt_self Ordinal.typein_lt_self
@[simp]
theorem typein_top {α β} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r] [IsWellOrder β s]
(f : r ≺i s) : typein s f.top = type r :=
Eq.symm <|
Quot.sound
⟨RelIso.ofSurjective (RelEmbedding.codRestrict _ f f.lt_top) fun ⟨a, h⟩ => by
rcases f.down.1 h with ⟨b, rfl⟩; exact ⟨b, rfl⟩⟩
#align ordinal.typein_top Ordinal.typein_top
@[simp]
theorem typein_apply {α β} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r] [IsWellOrder β s]
(f : r ≼i s) (a : α) : Ordinal.typein s (f a) = Ordinal.typein r a :=
Eq.symm <|
Quotient.sound
⟨RelIso.ofSurjective
(RelEmbedding.codRestrict _ ((Subrel.relEmbedding _ _).trans f) fun ⟨x, h⟩ => by
rw [RelEmbedding.trans_apply]; exact f.toRelEmbedding.map_rel_iff.2 h)
fun ⟨y, h⟩ => by
rcases f.init h with ⟨a, rfl⟩
exact ⟨⟨a, f.toRelEmbedding.map_rel_iff.1 h⟩,
Subtype.eq <| RelEmbedding.trans_apply _ _ _⟩⟩
#align ordinal.typein_apply Ordinal.typein_apply
@[simp]
theorem typein_lt_typein (r : α → α → Prop) [IsWellOrder α r] {a b : α} :
typein r a < typein r b ↔ r a b :=
⟨fun ⟨f⟩ => by
have : f.top.1 = a := by
let f' := PrincipalSeg.ofElement r a
let g' := f.trans (PrincipalSeg.ofElement r b)
have : g'.top = f'.top := by rw [Subsingleton.elim f' g']
exact this
rw [← this]
exact f.top.2, fun h =>
⟨PrincipalSeg.codRestrict _ (PrincipalSeg.ofElement r a) (fun x => @trans _ r _ _ _ _ x.2 h) h⟩⟩
#align ordinal.typein_lt_typein Ordinal.typein_lt_typein
theorem typein_surj (r : α → α → Prop) [IsWellOrder α r] {o} (h : o < type r) :
∃ a, typein r a = o :=
inductionOn o (fun _ _ _ ⟨f⟩ => ⟨f.top, typein_top _⟩) h
#align ordinal.typein_surj Ordinal.typein_surj
theorem typein_injective (r : α → α → Prop) [IsWellOrder α r] : Injective (typein r) :=
injective_of_increasing r (· < ·) (typein r) (typein_lt_typein r).2
#align ordinal.typein_injective Ordinal.typein_injective
@[simp]
theorem typein_inj (r : α → α → Prop) [IsWellOrder α r] {a b} : typein r a = typein r b ↔ a = b :=
(typein_injective r).eq_iff
#align ordinal.typein_inj Ordinal.typein_inj
/-- Principal segment version of the `typein` function, embedding a well order into
ordinals as a principal segment. -/
def typein.principalSeg {α : Type u} (r : α → α → Prop) [IsWellOrder α r] :
@PrincipalSeg α Ordinal.{u} r (· < ·) :=
⟨⟨⟨typein r, typein_injective r⟩, typein_lt_typein r⟩, type r,
fun _ ↦ ⟨typein_surj r, fun ⟨a, h⟩ ↦ h ▸ typein_lt_type r a⟩⟩
#align ordinal.typein.principal_seg Ordinal.typein.principalSeg
@[simp]
theorem typein.principalSeg_coe (r : α → α → Prop) [IsWellOrder α r] :
(typein.principalSeg r : α → Ordinal) = typein r :=
rfl
#align ordinal.typein.principal_seg_coe Ordinal.typein.principalSeg_coe
/-! ### Enumerating elements in a well-order with ordinals. -/
/-- `enum r o h` is the `o`-th element of `α` ordered by `r`.
That is, `enum` maps an initial segment of the ordinals, those
less than the order type of `r`, to the elements of `α`. -/
def enum (r : α → α → Prop) [IsWellOrder α r] (o) (h : o < type r) : α :=
(typein.principalSeg r).subrelIso ⟨o, h⟩
@[simp]
theorem typein_enum (r : α → α → Prop) [IsWellOrder α r] {o} (h : o < type r) :
typein r (enum r o h) = o :=
(typein.principalSeg r).apply_subrelIso _
#align ordinal.typein_enum Ordinal.typein_enum
theorem enum_type {α β} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r] [IsWellOrder β s]
(f : s ≺i r) {h : type s < type r} : enum r (type s) h = f.top :=
(typein.principalSeg r).injective <| (typein_enum _ _).trans (typein_top _).symm
#align ordinal.enum_type Ordinal.enum_type
@[simp]
theorem enum_typein (r : α → α → Prop) [IsWellOrder α r] (a : α) :
enum r (typein r a) (typein_lt_type r a) = a :=
enum_type (PrincipalSeg.ofElement r a)
#align ordinal.enum_typein Ordinal.enum_typein
theorem enum_lt_enum {r : α → α → Prop} [IsWellOrder α r] {o₁ o₂ : Ordinal} (h₁ : o₁ < type r)
(h₂ : o₂ < type r) : r (enum r o₁ h₁) (enum r o₂ h₂) ↔ o₁ < o₂ := by
rw [← typein_lt_typein r, typein_enum, typein_enum]
#align ordinal.enum_lt_enum Ordinal.enum_lt_enum
theorem relIso_enum' {α β : Type u} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r]
[IsWellOrder β s] (f : r ≃r s) (o : Ordinal) :
∀ (hr : o < type r) (hs : o < type s), f (enum r o hr) = enum s o hs := by
refine inductionOn o ?_; rintro γ t wo ⟨g⟩ ⟨h⟩
rw [enum_type g, enum_type (PrincipalSeg.ltEquiv g f)]; rfl
#align ordinal.rel_iso_enum' Ordinal.relIso_enum'
theorem relIso_enum {α β : Type u} {r : α → α → Prop} {s : β → β → Prop} [IsWellOrder α r]
[IsWellOrder β s] (f : r ≃r s) (o : Ordinal) (hr : o < type r) :
f (enum r o hr) =
enum s o
(by
convert hr using 1
apply Quotient.sound
exact ⟨f.symm⟩) :=
relIso_enum' _ _ _ _
#align ordinal.rel_iso_enum Ordinal.relIso_enum
theorem lt_wf : @WellFounded Ordinal (· < ·) :=
/-
wellFounded_iff_wellFounded_subrel.mpr (·.induction_on fun ⟨_, r, wo⟩ ↦
RelHomClass.wellFounded (typein.principalSeg r).subrelIso wo.wf)
-/
⟨fun a =>
inductionOn a fun α r wo =>
suffices ∀ a, Acc (· < ·) (typein r a) from
⟨_, fun o h =>
let ⟨a, e⟩ := typein_surj r h
e ▸ this a⟩
fun a =>
Acc.recOn (wo.wf.apply a) fun x _ IH =>
⟨_, fun o h => by
rcases typein_surj r (lt_trans h (typein_lt_type r _)) with ⟨b, rfl⟩
exact IH _ ((typein_lt_typein r).1 h)⟩⟩
#align ordinal.lt_wf Ordinal.lt_wf
instance wellFoundedRelation : WellFoundedRelation Ordinal :=
⟨(· < ·), lt_wf⟩
/-- Reformulation of well founded induction on ordinals as a lemma that works with the
`induction` tactic, as in `induction i using Ordinal.induction with | h i IH => ?_`. -/
theorem induction {p : Ordinal.{u} → Prop} (i : Ordinal.{u}) (h : ∀ j, (∀ k, k < j → p k) → p j) :
p i :=
lt_wf.induction i h
#align ordinal.induction Ordinal.induction
/-! ### Cardinality of ordinals -/
/-- The cardinal of an ordinal is the cardinality of any type on which a relation with that order
type is defined. -/
def card : Ordinal → Cardinal :=
Quotient.map WellOrder.α fun _ _ ⟨e⟩ => ⟨e.toEquiv⟩
#align ordinal.card Ordinal.card
@[simp]
theorem card_type (r : α → α → Prop) [IsWellOrder α r] : card (type r) = #α :=
rfl
#align ordinal.card_type Ordinal.card_type
-- Porting note: nolint, simpNF linter falsely claims the lemma never applies
@[simp, nolint simpNF]
theorem card_typein {r : α → α → Prop} [IsWellOrder α r] (x : α) :
#{ y // r y x } = (typein r x).card :=
rfl
#align ordinal.card_typein Ordinal.card_typein
theorem card_le_card {o₁ o₂ : Ordinal} : o₁ ≤ o₂ → card o₁ ≤ card o₂ :=
inductionOn o₁ fun _ _ _ => inductionOn o₂ fun _ _ _ ⟨⟨⟨f, _⟩, _⟩⟩ => ⟨f⟩
#align ordinal.card_le_card Ordinal.card_le_card
@[simp]
theorem card_zero : card 0 = 0 := mk_eq_zero _
#align ordinal.card_zero Ordinal.card_zero
@[simp]
theorem card_one : card 1 = 1 := mk_eq_one _
#align ordinal.card_one Ordinal.card_one
/-! ### Lifting ordinals to a higher universe -/
-- Porting note: Needed to add universe hint .{u} below
/-- The universe lift operation for ordinals, which embeds `Ordinal.{u}` as
a proper initial segment of `Ordinal.{v}` for `v > u`. For the initial segment version,
see `lift.initialSeg`. -/
@[pp_with_univ]
def lift (o : Ordinal.{v}) : Ordinal.{max v u} :=
Quotient.liftOn o (fun w => type <| ULift.down.{u} ⁻¹'o w.r) fun ⟨_, r, _⟩ ⟨_, s, _⟩ ⟨f⟩ =>
Quot.sound
⟨(RelIso.preimage Equiv.ulift r).trans <| f.trans (RelIso.preimage Equiv.ulift s).symm⟩
#align ordinal.lift Ordinal.lift
-- Porting note: Needed to add universe hints ULift.down.{v,u} below
-- @[simp] -- Porting note: Not in simpnf, added aux lemma below
theorem type_uLift (r : α → α → Prop) [IsWellOrder α r] :
type (ULift.down.{v,u} ⁻¹'o r) = lift.{v} (type r) := by
simp (config := { unfoldPartialApp := true })
rfl
#align ordinal.type_ulift Ordinal.type_uLift
-- Porting note: simpNF linter falsely claims that this never applies
@[simp, nolint simpNF]
theorem type_uLift_aux (r : α → α → Prop) [IsWellOrder α r] :
@type.{max v u} _ (fun x y => r (ULift.down.{v,u} x) (ULift.down.{v,u} y))
(inferInstanceAs (IsWellOrder (ULift α) (ULift.down ⁻¹'o r))) = lift.{v} (type r) :=
rfl
theorem _root_.RelIso.ordinal_lift_type_eq {α : Type u} {β : Type v} {r : α → α → Prop}
{s : β → β → Prop} [IsWellOrder α r] [IsWellOrder β s] (f : r ≃r s) :
lift.{v} (type r) = lift.{u} (type s) :=
((RelIso.preimage Equiv.ulift r).trans <|
f.trans (RelIso.preimage Equiv.ulift s).symm).ordinal_type_eq
#align rel_iso.ordinal_lift_type_eq RelIso.ordinal_lift_type_eq
-- @[simp]
theorem type_lift_preimage {α : Type u} {β : Type v} (r : α → α → Prop) [IsWellOrder α r]
(f : β ≃ α) : lift.{u} (type (f ⁻¹'o r)) = lift.{v} (type r) :=
(RelIso.preimage f r).ordinal_lift_type_eq
#align ordinal.type_lift_preimage Ordinal.type_lift_preimage
@[simp, nolint simpNF]
theorem type_lift_preimage_aux {α : Type u} {β : Type v} (r : α → α → Prop) [IsWellOrder α r]
(f : β ≃ α) : lift.{u} (@type _ (fun x y => r (f x) (f y))
(inferInstanceAs (IsWellOrder β (f ⁻¹'o r)))) = lift.{v} (type r) :=
(RelIso.preimage f r).ordinal_lift_type_eq
/-- `lift.{max u v, u}` equals `lift.{v, u}`. -/
-- @[simp] -- Porting note: simp lemma never applies, tested
theorem lift_umax : lift.{max u v, u} = lift.{v, u} :=
funext fun a =>
inductionOn a fun _ r _ =>
Quotient.sound ⟨(RelIso.preimage Equiv.ulift r).trans (RelIso.preimage Equiv.ulift r).symm⟩
#align ordinal.lift_umax Ordinal.lift_umax
/-- `lift.{max v u, u}` equals `lift.{v, u}`. -/
-- @[simp] -- Porting note: simp lemma never applies, tested
theorem lift_umax' : lift.{max v u, u} = lift.{v, u} :=
lift_umax
#align ordinal.lift_umax' Ordinal.lift_umax'
/-- An ordinal lifted to a lower or equal universe equals itself. -/
-- @[simp] -- Porting note: simp lemma never applies, tested
theorem lift_id' (a : Ordinal) : lift a = a :=
inductionOn a fun _ r _ => Quotient.sound ⟨RelIso.preimage Equiv.ulift r⟩
#align ordinal.lift_id' Ordinal.lift_id'
/-- An ordinal lifted to the same universe equals itself. -/
@[simp]
theorem lift_id : ∀ a, lift.{u, u} a = a :=
lift_id'.{u, u}
#align ordinal.lift_id Ordinal.lift_id
/-- An ordinal lifted to the zero universe equals itself. -/
@[simp]
theorem lift_uzero (a : Ordinal.{u}) : lift.{0} a = a :=
lift_id' a
#align ordinal.lift_uzero Ordinal.lift_uzero
@[simp]
theorem lift_lift (a : Ordinal) : lift.{w} (lift.{v} a) = lift.{max v w} a :=
inductionOn a fun _ _ _ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans <|
(RelIso.preimage Equiv.ulift _).trans (RelIso.preimage Equiv.ulift _).symm⟩
#align ordinal.lift_lift Ordinal.lift_lift
theorem lift_type_le {α : Type u} {β : Type v} {r s} [IsWellOrder α r] [IsWellOrder β s] :
lift.{max v w} (type r) ≤ lift.{max u w} (type s) ↔ Nonempty (r ≼i s) :=
⟨fun ⟨f⟩ =>
⟨(InitialSeg.ofIso (RelIso.preimage Equiv.ulift r).symm).trans <|
f.trans (InitialSeg.ofIso (RelIso.preimage Equiv.ulift s))⟩,
fun ⟨f⟩ =>
⟨(InitialSeg.ofIso (RelIso.preimage Equiv.ulift r)).trans <|
f.trans (InitialSeg.ofIso (RelIso.preimage Equiv.ulift s).symm)⟩⟩
#align ordinal.lift_type_le Ordinal.lift_type_le
theorem lift_type_eq {α : Type u} {β : Type v} {r s} [IsWellOrder α r] [IsWellOrder β s] :
lift.{max v w} (type r) = lift.{max u w} (type s) ↔ Nonempty (r ≃r s) :=
Quotient.eq'.trans
⟨fun ⟨f⟩ =>
⟨(RelIso.preimage Equiv.ulift r).symm.trans <| f.trans (RelIso.preimage Equiv.ulift s)⟩,
fun ⟨f⟩ =>
⟨(RelIso.preimage Equiv.ulift r).trans <| f.trans (RelIso.preimage Equiv.ulift s).symm⟩⟩
#align ordinal.lift_type_eq Ordinal.lift_type_eq
theorem lift_type_lt {α : Type u} {β : Type v} {r s} [IsWellOrder α r] [IsWellOrder β s] :
lift.{max v w} (type r) < lift.{max u w} (type s) ↔ Nonempty (r ≺i s) := by
haveI := @RelEmbedding.isWellOrder _ _ (@Equiv.ulift.{max v w} α ⁻¹'o r) r
(RelIso.preimage Equiv.ulift.{max v w} r) _
haveI := @RelEmbedding.isWellOrder _ _ (@Equiv.ulift.{max u w} β ⁻¹'o s) s
(RelIso.preimage Equiv.ulift.{max u w} s) _
exact ⟨fun ⟨f⟩ =>
⟨(f.equivLT (RelIso.preimage Equiv.ulift r).symm).ltLe
(InitialSeg.ofIso (RelIso.preimage Equiv.ulift s))⟩,
fun ⟨f⟩ =>
⟨(f.equivLT (RelIso.preimage Equiv.ulift r)).ltLe
(InitialSeg.ofIso (RelIso.preimage Equiv.ulift s).symm)⟩⟩
#align ordinal.lift_type_lt Ordinal.lift_type_lt
@[simp]
theorem lift_le {a b : Ordinal} : lift.{u,v} a ≤ lift.{u,v} b ↔ a ≤ b :=
inductionOn a fun α r _ =>
inductionOn b fun β s _ => by
rw [← lift_umax]
exact lift_type_le.{_,_,u}
#align ordinal.lift_le Ordinal.lift_le
@[simp]
theorem lift_inj {a b : Ordinal} : lift.{u,v} a = lift.{u,v} b ↔ a = b := by
simp only [le_antisymm_iff, lift_le]
#align ordinal.lift_inj Ordinal.lift_inj
@[simp]
theorem lift_lt {a b : Ordinal} : lift.{u,v} a < lift.{u,v} b ↔ a < b := by
simp only [lt_iff_le_not_le, lift_le]
#align ordinal.lift_lt Ordinal.lift_lt
@[simp]
theorem lift_zero : lift 0 = 0 :=
type_eq_zero_of_empty _
#align ordinal.lift_zero Ordinal.lift_zero
@[simp]
theorem lift_one : lift 1 = 1 :=
type_eq_one_of_unique _
#align ordinal.lift_one Ordinal.lift_one
@[simp]
theorem lift_card (a) : Cardinal.lift.{u,v} (card a)= card (lift.{u,v} a) :=
inductionOn a fun _ _ _ => rfl
#align ordinal.lift_card Ordinal.lift_card
theorem lift_down' {a : Cardinal.{u}} {b : Ordinal.{max u v}}
(h : card.{max u v} b ≤ Cardinal.lift.{v,u} a) : ∃ a', lift.{v,u} a' = b :=
let ⟨c, e⟩ := Cardinal.lift_down h
Cardinal.inductionOn c
(fun α =>
inductionOn b fun β s _ e' => by
rw [card_type, ← Cardinal.lift_id'.{max u v, u} #β, ← Cardinal.lift_umax.{u, v},
lift_mk_eq.{u, max u v, max u v}] at e'
cases' e' with f
have g := RelIso.preimage f s
haveI := (g : f ⁻¹'o s ↪r s).isWellOrder
have := lift_type_eq.{u, max u v, max u v}.2 ⟨g⟩
rw [lift_id, lift_umax.{u, v}] at this
exact ⟨_, this⟩)
e
#align ordinal.lift_down' Ordinal.lift_down'
theorem lift_down {a : Ordinal.{u}} {b : Ordinal.{max u v}} (h : b ≤ lift.{v,u} a) :
∃ a', lift.{v,u} a' = b :=
@lift_down' (card a) _ (by rw [lift_card]; exact card_le_card h)
#align ordinal.lift_down Ordinal.lift_down
theorem le_lift_iff {a : Ordinal.{u}} {b : Ordinal.{max u v}} :
b ≤ lift.{v,u} a ↔ ∃ a', lift.{v,u} a' = b ∧ a' ≤ a :=
⟨fun h =>
let ⟨a', e⟩ := lift_down h
⟨a', e, lift_le.1 <| e.symm ▸ h⟩,
fun ⟨_, e, h⟩ => e ▸ lift_le.2 h⟩
#align ordinal.le_lift_iff Ordinal.le_lift_iff
theorem lt_lift_iff {a : Ordinal.{u}} {b : Ordinal.{max u v}} :
b < lift.{v,u} a ↔ ∃ a', lift.{v,u} a' = b ∧ a' < a :=
⟨fun h =>
let ⟨a', e⟩ := lift_down (le_of_lt h)
⟨a', e, lift_lt.1 <| e.symm ▸ h⟩,
fun ⟨_, e, h⟩ => e ▸ lift_lt.2 h⟩
#align ordinal.lt_lift_iff Ordinal.lt_lift_iff
/-- Initial segment version of the lift operation on ordinals, embedding `ordinal.{u}` in
`ordinal.{v}` as an initial segment when `u ≤ v`. -/
def lift.initialSeg : @InitialSeg Ordinal.{u} Ordinal.{max u v} (· < ·) (· < ·) :=
⟨⟨⟨lift.{v}, fun _ _ => lift_inj.1⟩, lift_lt⟩, fun _ _ h => lift_down (le_of_lt h)⟩
#align ordinal.lift.initial_seg Ordinal.lift.initialSeg
@[simp]
theorem lift.initialSeg_coe : (lift.initialSeg.{u,v} : Ordinal → Ordinal) = lift.{v,u} :=
rfl
#align ordinal.lift.initial_seg_coe Ordinal.lift.initialSeg_coe
/-! ### The first infinite ordinal `omega` -/
/-- `ω` is the first infinite ordinal, defined as the order type of `ℕ`. -/
def omega : Ordinal.{u} :=
lift <| @type ℕ (· < ·) _
#align ordinal.omega Ordinal.omega
@[inherit_doc]
scoped notation "ω" => Ordinal.omega
/-- Note that the presence of this lemma makes `simp [omega]` form a loop. -/
@[simp]
theorem type_nat_lt : @type ℕ (· < ·) _ = ω :=
(lift_id _).symm
#align ordinal.type_nat_lt Ordinal.type_nat_lt
@[simp]
theorem card_omega : card ω = ℵ₀ :=
rfl
#align ordinal.card_omega Ordinal.card_omega
@[simp]
theorem lift_omega : lift ω = ω :=
lift_lift _
#align ordinal.lift_omega Ordinal.lift_omega
/-!
### Definition and first properties of addition on ordinals
In this paragraph, we introduce the addition on ordinals, and prove just enough properties to
deduce that the order on ordinals is total (and therefore well-founded). Further properties of
the addition, together with properties of the other operations, are proved in
`Mathlib/SetTheory/Ordinal/Arithmetic.lean`.
-/
/-- `o₁ + o₂` is the order on the disjoint union of `o₁` and `o₂` obtained by declaring that
every element of `o₁` is smaller than every element of `o₂`. -/
instance add : Add Ordinal.{u} :=
⟨fun o₁ o₂ =>
Quotient.liftOn₂ o₁ o₂ (fun ⟨_, r, _⟩ ⟨_, s, _⟩ => type (Sum.Lex r s))
fun _ _ _ _ ⟨f⟩ ⟨g⟩ => Quot.sound ⟨RelIso.sumLexCongr f g⟩⟩
instance addMonoidWithOne : AddMonoidWithOne Ordinal.{u} where
add := (· + ·)
zero := 0
one := 1
zero_add o :=
inductionOn o fun α r _ =>
Eq.symm <| Quotient.sound ⟨⟨(emptySum PEmpty α).symm, Sum.lex_inr_inr⟩⟩
add_zero o :=
inductionOn o fun α r _ =>
Eq.symm <| Quotient.sound ⟨⟨(sumEmpty α PEmpty).symm, Sum.lex_inl_inl⟩⟩
add_assoc o₁ o₂ o₃ :=
Quotient.inductionOn₃ o₁ o₂ o₃ fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ =>
Quot.sound
⟨⟨sumAssoc _ _ _, by
intros a b
rcases a with (⟨a | a⟩ | a) <;> rcases b with (⟨b | b⟩ | b) <;>
simp only [sumAssoc_apply_inl_inl, sumAssoc_apply_inl_inr, sumAssoc_apply_inr,
Sum.lex_inl_inl, Sum.lex_inr_inr, Sum.Lex.sep, Sum.lex_inr_inl]⟩⟩
nsmul := nsmulRec
@[simp]
theorem card_add (o₁ o₂ : Ordinal) : card (o₁ + o₂) = card o₁ + card o₂ :=
inductionOn o₁ fun _ __ => inductionOn o₂ fun _ _ _ => rfl
#align ordinal.card_add Ordinal.card_add
@[simp]
theorem type_sum_lex {α β : Type u} (r : α → α → Prop) (s : β → β → Prop) [IsWellOrder α r]
[IsWellOrder β s] : type (Sum.Lex r s) = type r + type s :=
rfl
#align ordinal.type_sum_lex Ordinal.type_sum_lex
@[simp]
theorem card_nat (n : ℕ) : card.{u} n = n := by
induction n <;> [simp; simp only [card_add, card_one, Nat.cast_succ, *]]
#align ordinal.card_nat Ordinal.card_nat
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem card_ofNat (n : ℕ) [n.AtLeastTwo] :
card.{u} (no_index (OfNat.ofNat n)) = OfNat.ofNat n :=
card_nat n
-- Porting note: Rewritten proof of elim, previous version was difficult to debug
instance add_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· ≤ ·) where
elim := fun c a b h => by
revert h c
refine inductionOn a (fun α₁ r₁ _ ↦ ?_)
refine inductionOn b (fun α₂ r₂ _ ↦ ?_)
rintro c ⟨⟨⟨f, fo⟩, fi⟩⟩
refine inductionOn c (fun β s _ ↦ ?_)
refine ⟨⟨⟨(Embedding.refl.{u+1} _).sumMap f, ?_⟩, ?_⟩⟩
· intros a b
match a, b with
| Sum.inl a, Sum.inl b => exact Sum.lex_inl_inl.trans Sum.lex_inl_inl.symm
| Sum.inl a, Sum.inr b => apply iff_of_true <;> apply Sum.Lex.sep
| Sum.inr a, Sum.inl b => apply iff_of_false <;> exact Sum.lex_inr_inl
| Sum.inr a, Sum.inr b => exact Sum.lex_inr_inr.trans <| fo.trans Sum.lex_inr_inr.symm
· intros a b H
match a, b, H with
| _, Sum.inl b, _ => exact ⟨Sum.inl b, rfl⟩
| Sum.inl a, Sum.inr b, H => exact (Sum.lex_inr_inl H).elim
| Sum.inr a, Sum.inr b, H =>
let ⟨w, h⟩ := fi _ _ (Sum.lex_inr_inr.1 H)
exact ⟨Sum.inr w, congr_arg Sum.inr h⟩
#align ordinal.add_covariant_class_le Ordinal.add_covariantClass_le
-- Porting note: Rewritten proof of elim, previous version was difficult to debug
instance add_swap_covariantClass_le :
CovariantClass Ordinal.{u} Ordinal.{u} (swap (· + ·)) (· ≤ ·) where
elim := fun c a b h => by
revert h c
refine inductionOn a (fun α₁ r₁ _ ↦ ?_)
refine inductionOn b (fun α₂ r₂ _ ↦ ?_)
rintro c ⟨⟨⟨f, fo⟩, fi⟩⟩
refine inductionOn c (fun β s _ ↦ ?_)
exact @RelEmbedding.ordinal_type_le _ _ (Sum.Lex r₁ s) (Sum.Lex r₂ s) _ _
⟨f.sumMap (Embedding.refl _), by
intro a b
constructor <;> intro H
· cases' a with a a <;> cases' b with b b <;> cases H <;> constructor <;>
[rwa [← fo]; assumption]
· cases H <;> constructor <;> [rwa [fo]; assumption]⟩
#align ordinal.add_swap_covariant_class_le Ordinal.add_swap_covariantClass_le
theorem le_add_right (a b : Ordinal) : a ≤ a + b := by
simpa only [add_zero] using add_le_add_left (Ordinal.zero_le b) a
#align ordinal.le_add_right Ordinal.le_add_right
theorem le_add_left (a b : Ordinal) : a ≤ b + a := by
simpa only [zero_add] using add_le_add_right (Ordinal.zero_le b) a
#align ordinal.le_add_left Ordinal.le_add_left
instance linearOrder : LinearOrder Ordinal :=
{inferInstanceAs (PartialOrder Ordinal) with
le_total := fun a b =>
match lt_or_eq_of_le (le_add_left b a), lt_or_eq_of_le (le_add_right a b) with
| Or.inr h, _ => by rw [h]; exact Or.inl (le_add_right _ _)
| _, Or.inr h => by rw [h]; exact Or.inr (le_add_left _ _)
| Or.inl h₁, Or.inl h₂ => by
revert h₁ h₂
refine inductionOn a ?_
intro α₁ r₁ _
refine inductionOn b ?_
intro α₂ r₂ _ ⟨f⟩ ⟨g⟩
rw [← typein_top f, ← typein_top g, le_iff_lt_or_eq, le_iff_lt_or_eq,
typein_lt_typein, typein_lt_typein]
rcases trichotomous_of (Sum.Lex r₁ r₂) g.top f.top with (h | h | h) <;>
[exact Or.inl (Or.inl h); (left; right; rw [h]); exact Or.inr (Or.inl h)]
decidableLE := Classical.decRel _ }
instance wellFoundedLT : WellFoundedLT Ordinal :=
⟨lt_wf⟩
instance isWellOrder : IsWellOrder Ordinal (· < ·) where
instance : ConditionallyCompleteLinearOrderBot Ordinal :=
IsWellOrder.conditionallyCompleteLinearOrderBot _
theorem max_zero_left : ∀ a : Ordinal, max 0 a = a :=
max_bot_left
#align ordinal.max_zero_left Ordinal.max_zero_left
theorem max_zero_right : ∀ a : Ordinal, max a 0 = a :=
max_bot_right
#align ordinal.max_zero_right Ordinal.max_zero_right
@[simp]
theorem max_eq_zero {a b : Ordinal} : max a b = 0 ↔ a = 0 ∧ b = 0 :=
max_eq_bot
#align ordinal.max_eq_zero Ordinal.max_eq_zero
@[simp]
theorem sInf_empty : sInf (∅ : Set Ordinal) = 0 :=
dif_neg Set.not_nonempty_empty
#align ordinal.Inf_empty Ordinal.sInf_empty
/-! ### Successor order properties -/
private theorem succ_le_iff' {a b : Ordinal} : a + 1 ≤ b ↔ a < b :=
⟨lt_of_lt_of_le
(inductionOn a fun α r _ =>
⟨⟨⟨⟨fun x => Sum.inl x, fun _ _ => Sum.inl.inj⟩, Sum.lex_inl_inl⟩,
Sum.inr PUnit.unit, fun b =>
Sum.recOn b (fun x => ⟨fun _ => ⟨x, rfl⟩, fun _ => Sum.Lex.sep _ _⟩) fun x =>
Sum.lex_inr_inr.trans ⟨False.elim, fun ⟨x, H⟩ => Sum.inl_ne_inr H⟩⟩⟩),
inductionOn a fun α r hr =>
inductionOn b fun β s hs ⟨⟨f, t, hf⟩⟩ => by
haveI := hs
refine ⟨⟨RelEmbedding.ofMonotone (Sum.rec f fun _ => t) (fun a b ↦ ?_), fun a b ↦ ?_⟩⟩
· rcases a with (a | _) <;> rcases b with (b | _)
· simpa only [Sum.lex_inl_inl] using f.map_rel_iff.2
· intro
rw [hf]
exact ⟨_, rfl⟩
· exact False.elim ∘ Sum.lex_inr_inl
· exact False.elim ∘ Sum.lex_inr_inr.1
· rcases a with (a | _)
· intro h
have := @PrincipalSeg.init _ _ _ _ _ ⟨f, t, hf⟩ _ _ h
cases' this with w h
exact ⟨Sum.inl w, h⟩
· intro h
cases' (hf b).1 h with w h
exact ⟨Sum.inl w, h⟩⟩
instance noMaxOrder : NoMaxOrder Ordinal :=
⟨fun _ => ⟨_, succ_le_iff'.1 le_rfl⟩⟩
instance succOrder : SuccOrder Ordinal.{u} :=
SuccOrder.ofSuccLeIff (fun o => o + 1) succ_le_iff'
@[simp]
theorem add_one_eq_succ (o : Ordinal) : o + 1 = succ o :=
rfl
#align ordinal.add_one_eq_succ Ordinal.add_one_eq_succ
@[simp]
theorem succ_zero : succ (0 : Ordinal) = 1 :=
zero_add 1
#align ordinal.succ_zero Ordinal.succ_zero
-- Porting note: Proof used to be rfl
@[simp]
theorem succ_one : succ (1 : Ordinal) = 2 := by congr; simp only [Nat.unaryCast, zero_add]
#align ordinal.succ_one Ordinal.succ_one
theorem add_succ (o₁ o₂ : Ordinal) : o₁ + succ o₂ = succ (o₁ + o₂) :=
(add_assoc _ _ _).symm
#align ordinal.add_succ Ordinal.add_succ
| Mathlib/SetTheory/Ordinal/Basic.lean | 1,062 | 1,062 | theorem one_le_iff_pos {o : Ordinal} : 1 ≤ o ↔ 0 < o := by | rw [← succ_zero, succ_le_iff]
|
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Covering.Differentiation
import Mathlib.MeasureTheory.Covering.VitaliFamily
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.MeasureTheory.Measure.Regular
import Mathlib.SetTheory.Ordinal.Arithmetic
import Mathlib.Topology.MetricSpace.Basic
import Mathlib.Data.Set.Pairwise.Lattice
#align_import measure_theory.covering.besicovitch from "leanprover-community/mathlib"@"5f6e827d81dfbeb6151d7016586ceeb0099b9655"
/-!
# Besicovitch covering theorems
The topological Besicovitch covering theorem ensures that, in a nice metric space, there exists a
number `N` such that, from any family of balls with bounded radii, one can extract `N` families,
each made of disjoint balls, covering together all the centers of the initial family.
By "nice metric space", we mean a technical property stated as follows: there exists no satellite
configuration of `N + 1` points (with a given parameter `τ > 1`). Such a configuration is a family
of `N + 1` balls, where the first `N` balls all intersect the last one, but none of them contains
the center of another one and their radii are controlled. This property is for instance
satisfied by finite-dimensional real vector spaces.
In this file, we prove the topological Besicovitch covering theorem,
in `Besicovitch.exist_disjoint_covering_families`.
The measurable Besicovitch theorem ensures that, in the same class of metric spaces, if at every
point one considers a class of balls of arbitrarily small radii, called admissible balls, then
one can cover almost all the space by a family of disjoint admissible balls.
It is deduced from the topological Besicovitch theorem, and proved
in `Besicovitch.exists_disjoint_closedBall_covering_ae`.
This implies that balls of small radius form a Vitali family in such spaces. Therefore, theorems
on differentiation of measures hold as a consequence of general results. We restate them in this
context to make them more easily usable.
## Main definitions and results
* `SatelliteConfig α N τ` is the type of all satellite configurations of `N + 1` points
in the metric space `α`, with parameter `τ`.
* `HasBesicovitchCovering` is a class recording that there exist `N` and `τ > 1` such that
there is no satellite configuration of `N + 1` points with parameter `τ`.
* `exist_disjoint_covering_families` is the topological Besicovitch covering theorem: from any
family of balls one can extract finitely many disjoint subfamilies covering the same set.
* `exists_disjoint_closedBall_covering` is the measurable Besicovitch covering theorem: from any
family of balls with arbitrarily small radii at every point, one can extract countably many
disjoint balls covering almost all the space. While the value of `N` is relevant for the precise
statement of the topological Besicovitch theorem, it becomes irrelevant for the measurable one.
Therefore, this statement is expressed using the `Prop`-valued
typeclass `HasBesicovitchCovering`.
We also restate the following specialized versions of general theorems on differentiation of
measures:
* `Besicovitch.ae_tendsto_rnDeriv` ensures that `ρ (closedBall x r) / μ (closedBall x r)` tends
almost surely to the Radon-Nikodym derivative of `ρ` with respect to `μ` at `x`.
* `Besicovitch.ae_tendsto_measure_inter_div` states that almost every point in an arbitrary set `s`
is a Lebesgue density point, i.e., `μ (s ∩ closedBall x r) / μ (closedBall x r)` tends to `1` as
`r` tends to `0`. A stronger version for measurable sets is given in
`Besicovitch.ae_tendsto_measure_inter_div_of_measurableSet`.
## Implementation
#### Sketch of proof of the topological Besicovitch theorem:
We choose balls in a greedy way. First choose a ball with maximal radius (or rather, since there
is no guarantee the maximal radius is realized, a ball with radius within a factor `τ` of the
supremum). Then, remove all balls whose center is covered by the first ball, and choose among the
remaining ones a ball with radius close to maximum. Go on forever until there is no available
center (this is a transfinite induction in general).
Then define inductively a coloring of the balls. A ball will be of color `i` if it intersects
already chosen balls of color `0`, ..., `i - 1`, but none of color `i`. In this way, balls of the
same color form a disjoint family, and the space is covered by the families of the different colors.
The nontrivial part is to show that at most `N` colors are used. If one needs `N + 1` colors,
consider the first time this happens. Then the corresponding ball intersects `N` balls of the
different colors. Moreover, the inductive construction ensures that the radii of all the balls are
controlled: they form a satellite configuration with `N + 1` balls (essentially by definition of
satellite configurations). Since we assume that there are no such configurations, this is a
contradiction.
#### Sketch of proof of the measurable Besicovitch theorem:
From the topological Besicovitch theorem, one can find a disjoint countable family of balls
covering a proportion `> 1 / (N + 1)` of the space. Taking a large enough finite subset of these
balls, one gets the same property for finitely many balls. Their union is closed. Therefore, any
point in the complement has around it an admissible ball not intersecting these finitely many balls.
Applying again the topological Besicovitch theorem, one extracts from these a disjoint countable
subfamily covering a proportion `> 1 / (N + 1)` of the remaining points, and then even a disjoint
finite subfamily. Then one goes on again and again, covering at each step a positive proportion of
the remaining points, while remaining disjoint from the already chosen balls. The union of all these
balls is the desired almost everywhere covering.
-/
noncomputable section
universe u
open Metric Set Filter Fin MeasureTheory TopologicalSpace
open scoped Topology Classical ENNReal MeasureTheory NNReal
/-!
### Satellite configurations
-/
/-- A satellite configuration is a configuration of `N+1` points that shows up in the inductive
construction for the Besicovitch covering theorem. It depends on some parameter `τ ≥ 1`.
This is a family of balls (indexed by `i : Fin N.succ`, with center `c i` and radius `r i`) such
that the last ball intersects all the other balls (condition `inter`),
and given any two balls there is an order between them, ensuring that the first ball does not
contain the center of the other one, and the radius of the second ball can not be larger than
the radius of the first ball (up to a factor `τ`). This order corresponds to the order of choice
in the inductive construction: otherwise, the second ball would have been chosen before.
This is the condition `h`.
Finally, the last ball is chosen after all the other ones, meaning that `h` can be strengthened
by keeping only one side of the alternative in `hlast`.
-/
structure Besicovitch.SatelliteConfig (α : Type*) [MetricSpace α] (N : ℕ) (τ : ℝ) where
c : Fin N.succ → α
r : Fin N.succ → ℝ
rpos : ∀ i, 0 < r i
h : Pairwise fun i j =>
r i ≤ dist (c i) (c j) ∧ r j ≤ τ * r i ∨ r j ≤ dist (c j) (c i) ∧ r i ≤ τ * r j
hlast : ∀ i < last N, r i ≤ dist (c i) (c (last N)) ∧ r (last N) ≤ τ * r i
inter : ∀ i < last N, dist (c i) (c (last N)) ≤ r i + r (last N)
#align besicovitch.satellite_config Besicovitch.SatelliteConfig
#align besicovitch.satellite_config.c Besicovitch.SatelliteConfig.c
#align besicovitch.satellite_config.r Besicovitch.SatelliteConfig.r
#align besicovitch.satellite_config.rpos Besicovitch.SatelliteConfig.rpos
#align besicovitch.satellite_config.h Besicovitch.SatelliteConfig.h
#align besicovitch.satellite_config.hlast Besicovitch.SatelliteConfig.hlast
#align besicovitch.satellite_config.inter Besicovitch.SatelliteConfig.inter
namespace Mathlib.Meta.Positivity
open Lean Meta Qq
/-- Extension for the `positivity` tactic: `Besicovitch.SatelliteConfig.r`. -/
@[positivity Besicovitch.SatelliteConfig.r _ _]
def evalBesicovitchSatelliteConfigR : PositivityExt where eval {u α} _zα _pα e := do
match u, α, e with
| 0, ~q(ℝ), ~q(@Besicovitch.SatelliteConfig.r $β $inst $N $τ $self $i) =>
assertInstancesCommute
return .positive q(Besicovitch.SatelliteConfig.rpos $self $i)
| _, _, _ => throwError "not Besicovitch.SatelliteConfig.r"
end Mathlib.Meta.Positivity
/-- A metric space has the Besicovitch covering property if there exist `N` and `τ > 1` such that
there are no satellite configuration of parameter `τ` with `N+1` points. This is the condition that
guarantees that the measurable Besicovitch covering theorem holds. It is satisfied by
finite-dimensional real vector spaces. -/
class HasBesicovitchCovering (α : Type*) [MetricSpace α] : Prop where
no_satelliteConfig : ∃ (N : ℕ) (τ : ℝ), 1 < τ ∧ IsEmpty (Besicovitch.SatelliteConfig α N τ)
#align has_besicovitch_covering HasBesicovitchCovering
#align has_besicovitch_covering.no_satellite_config HasBesicovitchCovering.no_satelliteConfig
/-- There is always a satellite configuration with a single point. -/
instance Besicovitch.SatelliteConfig.instInhabited {α : Type*} {τ : ℝ}
[Inhabited α] [MetricSpace α] : Inhabited (Besicovitch.SatelliteConfig α 0 τ) :=
⟨{ c := default
r := fun _ => 1
rpos := fun _ => zero_lt_one
h := fun i j hij => (hij (Subsingleton.elim (α := Fin 1) i j)).elim
hlast := fun i hi => by
rw [Subsingleton.elim (α := Fin 1) i (last 0)] at hi; exact (lt_irrefl _ hi).elim
inter := fun i hi => by
rw [Subsingleton.elim (α := Fin 1) i (last 0)] at hi; exact (lt_irrefl _ hi).elim }⟩
#align besicovitch.satellite_config.inhabited Besicovitch.SatelliteConfig.instInhabited
namespace Besicovitch
namespace SatelliteConfig
variable {α : Type*} [MetricSpace α] {N : ℕ} {τ : ℝ} (a : SatelliteConfig α N τ)
theorem inter' (i : Fin N.succ) : dist (a.c i) (a.c (last N)) ≤ a.r i + a.r (last N) := by
rcases lt_or_le i (last N) with (H | H)
· exact a.inter i H
· have I : i = last N := top_le_iff.1 H
have := (a.rpos (last N)).le
simp only [I, add_nonneg this this, dist_self]
#align besicovitch.satellite_config.inter' Besicovitch.SatelliteConfig.inter'
theorem hlast' (i : Fin N.succ) (h : 1 ≤ τ) : a.r (last N) ≤ τ * a.r i := by
rcases lt_or_le i (last N) with (H | H)
· exact (a.hlast i H).2
· have : i = last N := top_le_iff.1 H
rw [this]
exact le_mul_of_one_le_left (a.rpos _).le h
#align besicovitch.satellite_config.hlast' Besicovitch.SatelliteConfig.hlast'
end SatelliteConfig
/-! ### Extracting disjoint subfamilies from a ball covering -/
/-- A ball package is a family of balls in a metric space with positive bounded radii. -/
structure BallPackage (β : Type*) (α : Type*) where
c : β → α
r : β → ℝ
rpos : ∀ b, 0 < r b
r_bound : ℝ
r_le : ∀ b, r b ≤ r_bound
#align besicovitch.ball_package Besicovitch.BallPackage
#align besicovitch.ball_package.c Besicovitch.BallPackage.c
#align besicovitch.ball_package.r Besicovitch.BallPackage.r
#align besicovitch.ball_package.rpos Besicovitch.BallPackage.rpos
#align besicovitch.ball_package.r_bound Besicovitch.BallPackage.r_bound
#align besicovitch.ball_package.r_le Besicovitch.BallPackage.r_le
/-- The ball package made of unit balls. -/
def unitBallPackage (α : Type*) : BallPackage α α where
c := id
r _ := 1
rpos _ := zero_lt_one
r_bound := 1
r_le _ := le_rfl
#align besicovitch.unit_ball_package Besicovitch.unitBallPackage
instance BallPackage.instInhabited (α : Type*) : Inhabited (BallPackage α α) :=
⟨unitBallPackage α⟩
#align besicovitch.ball_package.inhabited Besicovitch.BallPackage.instInhabited
/-- A Besicovitch tau-package is a family of balls in a metric space with positive bounded radii,
together with enough data to proceed with the Besicovitch greedy algorithm. We register this in
a single structure to make sure that all our constructions in this algorithm only depend on
one variable. -/
structure TauPackage (β : Type*) (α : Type*) extends BallPackage β α where
τ : ℝ
one_lt_tau : 1 < τ
#align besicovitch.tau_package Besicovitch.TauPackage
#align besicovitch.tau_package.τ Besicovitch.TauPackage.τ
#align besicovitch.tau_package.one_lt_tau Besicovitch.TauPackage.one_lt_tau
instance TauPackage.instInhabited (α : Type*) : Inhabited (TauPackage α α) :=
⟨{ unitBallPackage α with
τ := 2
one_lt_tau := one_lt_two }⟩
#align besicovitch.tau_package.inhabited Besicovitch.TauPackage.instInhabited
variable {α : Type*} [MetricSpace α] {β : Type u}
namespace TauPackage
variable [Nonempty β] (p : TauPackage β α)
/-- Choose inductively large balls with centers that are not contained in the union of already
chosen balls. This is a transfinite induction. -/
noncomputable def index : Ordinal.{u} → β
| i =>
-- `Z` is the set of points that are covered by already constructed balls
let Z := ⋃ j : { j // j < i }, ball (p.c (index j)) (p.r (index j))
-- `R` is the supremum of the radii of balls with centers not in `Z`
let R := iSup fun b : { b : β // p.c b ∉ Z } => p.r b
-- return an index `b` for which the center `c b` is not in `Z`, and the radius is at
-- least `R / τ`, if such an index exists (and garbage otherwise).
Classical.epsilon fun b : β => p.c b ∉ Z ∧ R ≤ p.τ * p.r b
termination_by i => i
decreasing_by exact j.2
#align besicovitch.tau_package.index Besicovitch.TauPackage.index
/-- The set of points that are covered by the union of balls selected at steps `< i`. -/
def iUnionUpTo (i : Ordinal.{u}) : Set α :=
⋃ j : { j // j < i }, ball (p.c (p.index j)) (p.r (p.index j))
#align besicovitch.tau_package.Union_up_to Besicovitch.TauPackage.iUnionUpTo
theorem monotone_iUnionUpTo : Monotone p.iUnionUpTo := by
intro i j hij
simp only [iUnionUpTo]
exact iUnion_mono' fun r => ⟨⟨r, r.2.trans_le hij⟩, Subset.rfl⟩
#align besicovitch.tau_package.monotone_Union_up_to Besicovitch.TauPackage.monotone_iUnionUpTo
/-- Supremum of the radii of balls whose centers are not yet covered at step `i`. -/
def R (i : Ordinal.{u}) : ℝ :=
iSup fun b : { b : β // p.c b ∉ p.iUnionUpTo i } => p.r b
set_option linter.uppercaseLean3 false in
#align besicovitch.tau_package.R Besicovitch.TauPackage.R
/-- Group the balls into disjoint families, by assigning to a ball the smallest color for which
it does not intersect any already chosen ball of this color. -/
noncomputable def color : Ordinal.{u} → ℕ
| i =>
let A : Set ℕ :=
⋃ (j : { j // j < i })
(_ : (closedBall (p.c (p.index j)) (p.r (p.index j)) ∩
closedBall (p.c (p.index i)) (p.r (p.index i))).Nonempty), {color j}
sInf (univ \ A)
termination_by i => i
decreasing_by exact j.2
#align besicovitch.tau_package.color Besicovitch.TauPackage.color
/-- `p.lastStep` is the first ordinal where the construction stops making sense, i.e., `f` returns
garbage since there is no point left to be chosen. We will only use ordinals before this step. -/
def lastStep : Ordinal.{u} :=
sInf {i | ¬∃ b : β, p.c b ∉ p.iUnionUpTo i ∧ p.R i ≤ p.τ * p.r b}
#align besicovitch.tau_package.last_step Besicovitch.TauPackage.lastStep
theorem lastStep_nonempty :
{i | ¬∃ b : β, p.c b ∉ p.iUnionUpTo i ∧ p.R i ≤ p.τ * p.r b}.Nonempty := by
by_contra h
suffices H : Function.Injective p.index from not_injective_of_ordinal p.index H
intro x y hxy
wlog x_le_y : x ≤ y generalizing x y
· exact (this hxy.symm (le_of_not_le x_le_y)).symm
rcases eq_or_lt_of_le x_le_y with (rfl | H); · rfl
simp only [nonempty_def, not_exists, exists_prop, not_and, not_lt, not_le, mem_setOf_eq,
not_forall] at h
specialize h y
have A : p.c (p.index y) ∉ p.iUnionUpTo y := by
have :
p.index y =
Classical.epsilon fun b : β => p.c b ∉ p.iUnionUpTo y ∧ p.R y ≤ p.τ * p.r b := by
rw [TauPackage.index]; rfl
rw [this]
exact (Classical.epsilon_spec h).1
simp only [iUnionUpTo, not_exists, exists_prop, mem_iUnion, mem_closedBall, not_and, not_le,
Subtype.exists, Subtype.coe_mk] at A
specialize A x H
simp? [hxy] at A says simp only [hxy, mem_ball, dist_self, not_lt] at A
exact (lt_irrefl _ ((p.rpos (p.index y)).trans_le A)).elim
#align besicovitch.tau_package.last_step_nonempty Besicovitch.TauPackage.lastStep_nonempty
/-- Every point is covered by chosen balls, before `p.lastStep`. -/
theorem mem_iUnionUpTo_lastStep (x : β) : p.c x ∈ p.iUnionUpTo p.lastStep := by
have A : ∀ z : β, p.c z ∈ p.iUnionUpTo p.lastStep ∨ p.τ * p.r z < p.R p.lastStep := by
have : p.lastStep ∈ {i | ¬∃ b : β, p.c b ∉ p.iUnionUpTo i ∧ p.R i ≤ p.τ * p.r b} :=
csInf_mem p.lastStep_nonempty
simpa only [not_exists, mem_setOf_eq, not_and_or, not_le, not_not_mem]
by_contra h
rcases A x with (H | H); · exact h H
have Rpos : 0 < p.R p.lastStep := by
apply lt_trans (mul_pos (_root_.zero_lt_one.trans p.one_lt_tau) (p.rpos _)) H
have B : p.τ⁻¹ * p.R p.lastStep < p.R p.lastStep := by
conv_rhs => rw [← one_mul (p.R p.lastStep)]
exact mul_lt_mul (inv_lt_one p.one_lt_tau) le_rfl Rpos zero_le_one
obtain ⟨y, hy1, hy2⟩ : ∃ y, p.c y ∉ p.iUnionUpTo p.lastStep ∧ p.τ⁻¹ * p.R p.lastStep < p.r y := by
have := exists_lt_of_lt_csSup ?_ B
· simpa only [exists_prop, mem_range, exists_exists_and_eq_and, Subtype.exists,
Subtype.coe_mk]
rw [← image_univ, image_nonempty]
exact ⟨⟨_, h⟩, mem_univ _⟩
rcases A y with (Hy | Hy)
· exact hy1 Hy
· rw [← div_eq_inv_mul] at hy2
have := (div_le_iff' (_root_.zero_lt_one.trans p.one_lt_tau)).1 hy2.le
exact lt_irrefl _ (Hy.trans_le this)
#align besicovitch.tau_package.mem_Union_up_to_last_step Besicovitch.TauPackage.mem_iUnionUpTo_lastStep
/-- If there are no configurations of satellites with `N+1` points, one never uses more than `N`
distinct families in the Besicovitch inductive construction. -/
theorem color_lt {i : Ordinal.{u}} (hi : i < p.lastStep) {N : ℕ}
(hN : IsEmpty (SatelliteConfig α N p.τ)) : p.color i < N := by
/- By contradiction, consider the first ordinal `i` for which one would have `p.color i = N`.
Choose for each `k < N` a ball with color `k` that intersects the ball at color `i`
(there is such a ball, otherwise one would have used the color `k` and not `N`).
Then this family of `N+1` balls forms a satellite configuration, which is forbidden by
the assumption `hN`. -/
induction' i using Ordinal.induction with i IH
let A : Set ℕ :=
⋃ (j : { j // j < i })
(_ : (closedBall (p.c (p.index j)) (p.r (p.index j)) ∩
closedBall (p.c (p.index i)) (p.r (p.index i))).Nonempty),
{p.color j}
have color_i : p.color i = sInf (univ \ A) := by rw [color]
rw [color_i]
have N_mem : N ∈ univ \ A := by
simp only [A, not_exists, true_and_iff, exists_prop, mem_iUnion, mem_singleton_iff,
mem_closedBall, not_and, mem_univ, mem_diff, Subtype.exists, Subtype.coe_mk]
intro j ji _
exact (IH j ji (ji.trans hi)).ne'
suffices sInf (univ \ A) ≠ N by
rcases (csInf_le (OrderBot.bddBelow (univ \ A)) N_mem).lt_or_eq with (H | H)
· exact H
· exact (this H).elim
intro Inf_eq_N
have :
∀ k, k < N → ∃ j, j < i ∧
(closedBall (p.c (p.index j)) (p.r (p.index j)) ∩
closedBall (p.c (p.index i)) (p.r (p.index i))).Nonempty ∧ k = p.color j := by
intro k hk
rw [← Inf_eq_N] at hk
have : k ∈ A := by
simpa only [true_and_iff, mem_univ, Classical.not_not, mem_diff] using
Nat.not_mem_of_lt_sInf hk
simp only [mem_iUnion, mem_singleton_iff, exists_prop, Subtype.exists, exists_and_right,
and_assoc] at this
simpa only [A, exists_prop, mem_iUnion, mem_singleton_iff, mem_closedBall, Subtype.exists,
Subtype.coe_mk]
choose! g hg using this
-- Choose for each `k < N` an ordinal `G k < i` giving a ball of color `k` intersecting
-- the last ball.
let G : ℕ → Ordinal := fun n => if n = N then i else g n
have color_G : ∀ n, n ≤ N → p.color (G n) = n := by
intro n hn
rcases hn.eq_or_lt with (rfl | H)
· simp only [G]; simp only [color_i, Inf_eq_N, if_true, eq_self_iff_true]
· simp only [G]; simp only [H.ne, (hg n H).right.right.symm, if_false]
have G_lt_last : ∀ n, n ≤ N → G n < p.lastStep := by
intro n hn
rcases hn.eq_or_lt with (rfl | H)
· simp only [G]; simp only [hi, if_true, eq_self_iff_true]
· simp only [G]; simp only [H.ne, (hg n H).left.trans hi, if_false]
have fGn :
∀ n, n ≤ N →
p.c (p.index (G n)) ∉ p.iUnionUpTo (G n) ∧ p.R (G n) ≤ p.τ * p.r (p.index (G n)) := by
intro n hn
have :
p.index (G n) =
Classical.epsilon fun t => p.c t ∉ p.iUnionUpTo (G n) ∧ p.R (G n) ≤ p.τ * p.r t := by
rw [index]; rfl
rw [this]
have : ∃ t, p.c t ∉ p.iUnionUpTo (G n) ∧ p.R (G n) ≤ p.τ * p.r t := by
simpa only [not_exists, exists_prop, not_and, not_lt, not_le, mem_setOf_eq, not_forall] using
not_mem_of_lt_csInf (G_lt_last n hn) (OrderBot.bddBelow _)
exact Classical.epsilon_spec this
-- the balls with indices `G k` satisfy the characteristic property of satellite configurations.
have Gab :
∀ a b : Fin (Nat.succ N),
G a < G b →
p.r (p.index (G a)) ≤ dist (p.c (p.index (G a))) (p.c (p.index (G b))) ∧
p.r (p.index (G b)) ≤ p.τ * p.r (p.index (G a)) := by
intro a b G_lt
have ha : (a : ℕ) ≤ N := Nat.lt_succ_iff.1 a.2
have hb : (b : ℕ) ≤ N := Nat.lt_succ_iff.1 b.2
constructor
· have := (fGn b hb).1
simp only [iUnionUpTo, not_exists, exists_prop, mem_iUnion, mem_closedBall, not_and, not_le,
Subtype.exists, Subtype.coe_mk] at this
simpa only [dist_comm, mem_ball, not_lt] using this (G a) G_lt
· apply le_trans _ (fGn a ha).2
have B : p.c (p.index (G b)) ∉ p.iUnionUpTo (G a) := by
intro H; exact (fGn b hb).1 (p.monotone_iUnionUpTo G_lt.le H)
let b' : { t // p.c t ∉ p.iUnionUpTo (G a) } := ⟨p.index (G b), B⟩
apply @le_ciSup _ _ _ (fun t : { t // p.c t ∉ p.iUnionUpTo (G a) } => p.r t) _ b'
refine ⟨p.r_bound, fun t ht => ?_⟩
simp only [exists_prop, mem_range, Subtype.exists, Subtype.coe_mk] at ht
rcases ht with ⟨u, hu⟩
rw [← hu.2]
exact p.r_le _
-- therefore, one may use them to construct a satellite configuration with `N+1` points
let sc : SatelliteConfig α N p.τ :=
{ c := fun k => p.c (p.index (G k))
r := fun k => p.r (p.index (G k))
rpos := fun k => p.rpos (p.index (G k))
h := by
intro a b a_ne_b
wlog G_le : G a ≤ G b generalizing a b
· exact (this a_ne_b.symm (le_of_not_le G_le)).symm
have G_lt : G a < G b := by
rcases G_le.lt_or_eq with (H | H); · exact H
have A : (a : ℕ) ≠ b := Fin.val_injective.ne a_ne_b
rw [← color_G a (Nat.lt_succ_iff.1 a.2), ← color_G b (Nat.lt_succ_iff.1 b.2), H] at A
exact (A rfl).elim
exact Or.inl (Gab a b G_lt)
hlast := by
intro a ha
have I : (a : ℕ) < N := ha
have : G a < G (Fin.last N) := by dsimp; simp [G, I.ne, (hg a I).1]
exact Gab _ _ this
inter := by
intro a ha
have I : (a : ℕ) < N := ha
have J : G (Fin.last N) = i := by dsimp; simp only [G, if_true, eq_self_iff_true]
have K : G a = g a := by dsimp [G]; simp [I.ne, (hg a I).1]
convert dist_le_add_of_nonempty_closedBall_inter_closedBall (hg _ I).2.1 }
-- this is a contradiction
exact hN.false sc
#align besicovitch.tau_package.color_lt Besicovitch.TauPackage.color_lt
end TauPackage
open TauPackage
/-- The topological Besicovitch covering theorem: there exist finitely many families of disjoint
balls covering all the centers in a package. More specifically, one can use `N` families if there
are no satellite configurations with `N+1` points. -/
theorem exist_disjoint_covering_families {N : ℕ} {τ : ℝ} (hτ : 1 < τ)
(hN : IsEmpty (SatelliteConfig α N τ)) (q : BallPackage β α) :
∃ s : Fin N → Set β,
(∀ i : Fin N, (s i).PairwiseDisjoint fun j => closedBall (q.c j) (q.r j)) ∧
range q.c ⊆ ⋃ i : Fin N, ⋃ j ∈ s i, ball (q.c j) (q.r j) := by
-- first exclude the trivial case where `β` is empty (we need non-emptiness for the transfinite
-- induction, to be able to choose garbage when there is no point left).
cases isEmpty_or_nonempty β
· refine ⟨fun _ => ∅, fun _ => pairwiseDisjoint_empty, ?_⟩
rw [← image_univ, eq_empty_of_isEmpty (univ : Set β)]
simp
-- Now, assume `β` is nonempty.
let p : TauPackage β α :=
{ q with
τ
one_lt_tau := hτ }
-- we use for `s i` the balls of color `i`.
let s := fun i : Fin N =>
⋃ (k : Ordinal.{u}) (_ : k < p.lastStep) (_ : p.color k = i), ({p.index k} : Set β)
refine ⟨s, fun i => ?_, ?_⟩
· -- show that balls of the same color are disjoint
intro x hx y hy x_ne_y
obtain ⟨jx, jx_lt, jxi, rfl⟩ :
∃ jx : Ordinal, jx < p.lastStep ∧ p.color jx = i ∧ x = p.index jx := by
simpa only [s, exists_prop, mem_iUnion, mem_singleton_iff] using hx
obtain ⟨jy, jy_lt, jyi, rfl⟩ :
∃ jy : Ordinal, jy < p.lastStep ∧ p.color jy = i ∧ y = p.index jy := by
simpa only [s, exists_prop, mem_iUnion, mem_singleton_iff] using hy
wlog jxy : jx ≤ jy generalizing jx jy
· exact (this jy jy_lt jyi hy jx jx_lt jxi hx x_ne_y.symm (le_of_not_le jxy)).symm
replace jxy : jx < jy := by
rcases lt_or_eq_of_le jxy with (H | rfl); · { exact H }; · { exact (x_ne_y rfl).elim }
let A : Set ℕ :=
⋃ (j : { j // j < jy })
(_ : (closedBall (p.c (p.index j)) (p.r (p.index j)) ∩
closedBall (p.c (p.index jy)) (p.r (p.index jy))).Nonempty),
{p.color j}
have color_j : p.color jy = sInf (univ \ A) := by rw [TauPackage.color]
have h : p.color jy ∈ univ \ A := by
rw [color_j]
apply csInf_mem
refine ⟨N, ?_⟩
simp only [A, not_exists, true_and_iff, exists_prop, mem_iUnion, mem_singleton_iff, not_and,
mem_univ, mem_diff, Subtype.exists, Subtype.coe_mk]
intro k hk _
exact (p.color_lt (hk.trans jy_lt) hN).ne'
simp only [A, not_exists, true_and_iff, exists_prop, mem_iUnion, mem_singleton_iff, not_and,
mem_univ, mem_diff, Subtype.exists, Subtype.coe_mk] at h
specialize h jx jxy
contrapose! h
simpa only [jxi, jyi, and_true_iff, eq_self_iff_true, ← not_disjoint_iff_nonempty_inter] using h
· -- show that the balls of color at most `N` cover every center.
refine range_subset_iff.2 fun b => ?_
obtain ⟨a, ha⟩ :
∃ a : Ordinal, a < p.lastStep ∧ dist (p.c b) (p.c (p.index a)) < p.r (p.index a) := by
simpa only [iUnionUpTo, exists_prop, mem_iUnion, mem_ball, Subtype.exists,
Subtype.coe_mk] using p.mem_iUnionUpTo_lastStep b
simp only [s, exists_prop, mem_iUnion, mem_ball, mem_singleton_iff, biUnion_and',
exists_eq_left, iUnion_exists, exists_and_left]
exact ⟨⟨p.color a, p.color_lt ha.1 hN⟩, a, rfl, ha⟩
#align besicovitch.exist_disjoint_covering_families Besicovitch.exist_disjoint_covering_families
/-!
### The measurable Besicovitch covering theorem
-/
open scoped NNReal
variable [SecondCountableTopology α] [MeasurableSpace α] [OpensMeasurableSpace α]
/-- Consider, for each `x` in a set `s`, a radius `r x ∈ (0, 1]`. Then one can find finitely
many disjoint balls of the form `closedBall x (r x)` covering a proportion `1/(N+1)` of `s`, if
there are no satellite configurations with `N+1` points.
-/
theorem exist_finset_disjoint_balls_large_measure (μ : Measure α) [IsFiniteMeasure μ] {N : ℕ}
{τ : ℝ} (hτ : 1 < τ) (hN : IsEmpty (SatelliteConfig α N τ)) (s : Set α) (r : α → ℝ)
(rpos : ∀ x ∈ s, 0 < r x) (rle : ∀ x ∈ s, r x ≤ 1) :
∃ t : Finset α, ↑t ⊆ s ∧ μ (s \ ⋃ x ∈ t, closedBall x (r x)) ≤ N / (N + 1) * μ s ∧
(t : Set α).PairwiseDisjoint fun x => closedBall x (r x) := by
-- exclude the trivial case where `μ s = 0`.
rcases le_or_lt (μ s) 0 with (hμs | hμs)
· have : μ s = 0 := le_bot_iff.1 hμs
refine ⟨∅, by simp only [Finset.coe_empty, empty_subset], ?_, ?_⟩
· simp only [this, Finset.not_mem_empty, diff_empty, iUnion_false, iUnion_empty,
nonpos_iff_eq_zero, mul_zero]
· simp only [Finset.coe_empty, pairwiseDisjoint_empty]
cases isEmpty_or_nonempty α
· simp only [eq_empty_of_isEmpty s, measure_empty] at hμs
exact (lt_irrefl _ hμs).elim
have Npos : N ≠ 0 := by
rintro rfl
inhabit α
exact not_isEmpty_of_nonempty _ hN
-- introduce a measurable superset `o` with the same measure, for measure computations
obtain ⟨o, so, omeas, μo⟩ : ∃ o : Set α, s ⊆ o ∧ MeasurableSet o ∧ μ o = μ s :=
exists_measurable_superset μ s
/- We will apply the topological Besicovitch theorem, giving `N` disjoint subfamilies of balls
covering `s`. Among these, one of them covers a proportion at least `1/N` of `s`. A large
enough finite subfamily will then cover a proportion at least `1/(N+1)`. -/
let a : BallPackage s α :=
{ c := fun x => x
r := fun x => r x
rpos := fun x => rpos x x.2
r_bound := 1
r_le := fun x => rle x x.2 }
rcases exist_disjoint_covering_families hτ hN a with ⟨u, hu, hu'⟩
have u_count : ∀ i, (u i).Countable := by
intro i
refine (hu i).countable_of_nonempty_interior fun j _ => ?_
have : (ball (j : α) (r j)).Nonempty := nonempty_ball.2 (a.rpos _)
exact this.mono ball_subset_interior_closedBall
let v : Fin N → Set α := fun i => ⋃ (x : s) (_ : x ∈ u i), closedBall x (r x)
have A : s = ⋃ i : Fin N, s ∩ v i := by
refine Subset.antisymm ?_ (iUnion_subset fun i => inter_subset_left)
intro x hx
obtain ⟨i, y, hxy, h'⟩ :
∃ (i : Fin N) (i_1 : ↥s), i_1 ∈ u i ∧ x ∈ ball (↑i_1) (r ↑i_1) := by
have : x ∈ range a.c := by simpa only [Subtype.range_coe_subtype, setOf_mem_eq]
simpa only [mem_iUnion, bex_def] using hu' this
refine mem_iUnion.2 ⟨i, ⟨hx, ?_⟩⟩
simp only [v, exists_prop, mem_iUnion, SetCoe.exists, exists_and_right, Subtype.coe_mk]
exact ⟨y, ⟨y.2, by simpa only [Subtype.coe_eta]⟩, ball_subset_closedBall h'⟩
have S : ∑ _i : Fin N, μ s / N ≤ ∑ i, μ (s ∩ v i) :=
calc
∑ _i : Fin N, μ s / N = μ s := by
simp only [Finset.card_fin, Finset.sum_const, nsmul_eq_mul]
rw [ENNReal.mul_div_cancel']
· simp only [Npos, Ne, Nat.cast_eq_zero, not_false_iff]
· exact ENNReal.natCast_ne_top _
_ ≤ ∑ i, μ (s ∩ v i) := by
conv_lhs => rw [A]
apply measure_iUnion_fintype_le
-- choose an index `i` of a subfamily covering at least a proportion `1/N` of `s`.
obtain ⟨i, -, hi⟩ : ∃ (i : Fin N), i ∈ Finset.univ ∧ μ s / N ≤ μ (s ∩ v i) := by
apply ENNReal.exists_le_of_sum_le _ S
exact ⟨⟨0, bot_lt_iff_ne_bot.2 Npos⟩, Finset.mem_univ _⟩
replace hi : μ s / (N + 1) < μ (s ∩ v i) := by
apply lt_of_lt_of_le _ hi
apply (ENNReal.mul_lt_mul_left hμs.ne' (measure_lt_top μ s).ne).2
rw [ENNReal.inv_lt_inv]
conv_lhs => rw [← add_zero (N : ℝ≥0∞)]
exact ENNReal.add_lt_add_left (ENNReal.natCast_ne_top N) zero_lt_one
have B : μ (o ∩ v i) = ∑' x : u i, μ (o ∩ closedBall x (r x)) := by
have : o ∩ v i = ⋃ (x : s) (_ : x ∈ u i), o ∩ closedBall x (r x) := by
simp only [v, inter_iUnion]
rw [this, measure_biUnion (u_count i)]
· exact (hu i).mono fun k => inter_subset_right
· exact fun b _ => omeas.inter measurableSet_closedBall
-- A large enough finite subfamily of `u i` will also cover a proportion `> 1/(N+1)` of `s`.
-- Since `s` might not be measurable, we express this in terms of the measurable superset `o`.
obtain ⟨w, hw⟩ :
∃ w : Finset (u i), μ s / (N + 1) <
∑ x ∈ w, μ (o ∩ closedBall (x : α) (r (x : α))) := by
have C : HasSum (fun x : u i => μ (o ∩ closedBall x (r x))) (μ (o ∩ v i)) := by
rw [B]; exact ENNReal.summable.hasSum
have : μ s / (N + 1) < μ (o ∩ v i) := hi.trans_le (measure_mono (inter_subset_inter_left _ so))
exact ((tendsto_order.1 C).1 _ this).exists
-- Bring back the finset `w i` of `↑(u i)` to a finset of `α`, and check that it works by design.
refine ⟨Finset.image (fun x : u i => x) w, ?_, ?_, ?_⟩
-- show that the finset is included in `s`.
· simp only [image_subset_iff, Finset.coe_image]
intro y _
simp only [Subtype.coe_prop, mem_preimage]
-- show that it covers a large enough proportion of `s`. For measure computations, we do not
-- use `s` (which might not be measurable), but its measurable superset `o`. Since their measures
-- are the same, this does not spoil the estimates
· suffices H : μ (o \ ⋃ x ∈ w, closedBall (↑x) (r ↑x)) ≤ N / (N + 1) * μ s by
rw [Finset.set_biUnion_finset_image]
exact le_trans (measure_mono (diff_subset_diff so (Subset.refl _))) H
rw [← diff_inter_self_eq_diff,
measure_diff_le_iff_le_add _ inter_subset_right (measure_lt_top μ _).ne]
swap
· apply MeasurableSet.inter _ omeas
haveI : Encodable (u i) := (u_count i).toEncodable
exact MeasurableSet.iUnion fun b => MeasurableSet.iUnion fun _ => measurableSet_closedBall
calc
μ o = 1 / (N + 1) * μ s + N / (N + 1) * μ s := by
rw [μo, ← add_mul, ENNReal.div_add_div_same, add_comm, ENNReal.div_self, one_mul] <;> simp
_ ≤ μ ((⋃ x ∈ w, closedBall (↑x) (r ↑x)) ∩ o) + N / (N + 1) * μ s := by
gcongr
rw [one_div, mul_comm, ← div_eq_mul_inv]
apply hw.le.trans (le_of_eq _)
rw [← Finset.set_biUnion_coe, inter_comm _ o, inter_iUnion₂, Finset.set_biUnion_coe,
measure_biUnion_finset]
· have : (w : Set (u i)).PairwiseDisjoint
fun b : u i => closedBall (b : α) (r (b : α)) := by
intro k _ l _ hkl; exact hu i k.2 l.2 (Subtype.val_injective.ne hkl)
exact this.mono fun k => inter_subset_right
· intro b _
apply omeas.inter measurableSet_closedBall
-- show that the balls are disjoint
· intro k hk l hl hkl
obtain ⟨k', _, rfl⟩ : ∃ k' : u i, k' ∈ w ∧ ↑k' = k := by
simpa only [mem_image, Finset.mem_coe, Finset.coe_image] using hk
obtain ⟨l', _, rfl⟩ : ∃ l' : u i, l' ∈ w ∧ ↑l' = l := by
simpa only [mem_image, Finset.mem_coe, Finset.coe_image] using hl
have k'nel' : (k' : s) ≠ l' := by intro h; rw [h] at hkl; exact hkl rfl
exact hu i k'.2 l'.2 k'nel'
#align besicovitch.exist_finset_disjoint_balls_large_measure Besicovitch.exist_finset_disjoint_balls_large_measure
variable [HasBesicovitchCovering α]
/-- The **measurable Besicovitch covering theorem**. Assume that, for any `x` in a set `s`,
one is given a set of admissible closed balls centered at `x`, with arbitrarily small radii.
Then there exists a disjoint covering of almost all `s` by admissible closed balls centered at some
points of `s`.
This version requires that the underlying measure is finite, and that the space has the Besicovitch
covering property (which is satisfied for instance by normed real vector spaces). It expresses the
conclusion in a slightly awkward form (with a subset of `α × ℝ`) coming from the proof technique.
For a version assuming that the measure is sigma-finite,
see `exists_disjoint_closedBall_covering_ae_aux`.
For a version giving the conclusion in a nicer form, see `exists_disjoint_closedBall_covering_ae`.
-/
theorem exists_disjoint_closedBall_covering_ae_of_finiteMeasure_aux (μ : Measure α)
[IsFiniteMeasure μ] (f : α → Set ℝ) (s : Set α)
(hf : ∀ x ∈ s, ∀ δ > 0, (f x ∩ Ioo 0 δ).Nonempty) :
∃ t : Set (α × ℝ), t.Countable ∧ (∀ p ∈ t, p.1 ∈ s) ∧ (∀ p ∈ t, p.2 ∈ f p.1) ∧
μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ t), closedBall p.1 p.2) = 0 ∧
t.PairwiseDisjoint fun p => closedBall p.1 p.2 := by
rcases HasBesicovitchCovering.no_satelliteConfig (α := α) with ⟨N, τ, hτ, hN⟩
/- Introduce a property `P` on finsets saying that we have a nice disjoint covering of a
subset of `s` by admissible balls. -/
let P : Finset (α × ℝ) → Prop := fun t =>
((t : Set (α × ℝ)).PairwiseDisjoint fun p => closedBall p.1 p.2) ∧
(∀ p : α × ℝ, p ∈ t → p.1 ∈ s) ∧ ∀ p : α × ℝ, p ∈ t → p.2 ∈ f p.1
/- Given a finite good covering of a subset `s`, one can find a larger finite good covering,
covering additionally a proportion at least `1/(N+1)` of leftover points. This follows from
`exist_finset_disjoint_balls_large_measure` applied to balls not intersecting the initial
covering. -/
have :
∀ t : Finset (α × ℝ), P t → ∃ u : Finset (α × ℝ), t ⊆ u ∧ P u ∧
μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ u), closedBall p.1 p.2) ≤
N / (N + 1) * μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ t), closedBall p.1 p.2) := by
intro t ht
set B := ⋃ (p : α × ℝ) (_ : p ∈ t), closedBall p.1 p.2 with hB
have B_closed : IsClosed B := isClosed_biUnion_finset fun i _ => isClosed_ball
set s' := s \ B
have : ∀ x ∈ s', ∃ r ∈ f x ∩ Ioo 0 1, Disjoint B (closedBall x r) := by
intro x hx
have xs : x ∈ s := ((mem_diff x).1 hx).1
rcases eq_empty_or_nonempty B with (hB | hB)
· rcases hf x xs 1 zero_lt_one with ⟨r, hr, h'r⟩
exact ⟨r, ⟨hr, h'r⟩, by simp only [hB, empty_disjoint]⟩
· let r := infDist x B
have : 0 < min r 1 :=
lt_min ((B_closed.not_mem_iff_infDist_pos hB).1 ((mem_diff x).1 hx).2) zero_lt_one
rcases hf x xs _ this with ⟨r, hr, h'r⟩
refine ⟨r, ⟨hr, ⟨h'r.1, h'r.2.trans_le (min_le_right _ _)⟩⟩, ?_⟩
rw [disjoint_comm]
exact disjoint_closedBall_of_lt_infDist (h'r.2.trans_le (min_le_left _ _))
choose! r hr using this
obtain ⟨v, vs', hμv, hv⟩ :
∃ v : Finset α,
↑v ⊆ s' ∧
μ (s' \ ⋃ x ∈ v, closedBall x (r x)) ≤ N / (N + 1) * μ s' ∧
(v : Set α).PairwiseDisjoint fun x : α => closedBall x (r x) :=
haveI rI : ∀ x ∈ s', r x ∈ Ioo (0 : ℝ) 1 := fun x hx => (hr x hx).1.2
exist_finset_disjoint_balls_large_measure μ hτ hN s' r (fun x hx => (rI x hx).1) fun x hx =>
(rI x hx).2.le
refine ⟨t ∪ Finset.image (fun x => (x, r x)) v, Finset.subset_union_left, ⟨?_, ?_, ?_⟩, ?_⟩
· simp only [Finset.coe_union, pairwiseDisjoint_union, ht.1, true_and_iff, Finset.coe_image]
constructor
· intro p hp q hq hpq
rcases (mem_image _ _ _).1 hp with ⟨p', p'v, rfl⟩
rcases (mem_image _ _ _).1 hq with ⟨q', q'v, rfl⟩
refine hv p'v q'v fun hp'q' => ?_
rw [hp'q'] at hpq
exact hpq rfl
· intro p hp q hq hpq
rcases (mem_image _ _ _).1 hq with ⟨q', q'v, rfl⟩
apply disjoint_of_subset_left _ (hr q' (vs' q'v)).2
rw [hB, ← Finset.set_biUnion_coe]
exact subset_biUnion_of_mem (u := fun x : α × ℝ => closedBall x.1 x.2) hp
· intro p hp
rcases Finset.mem_union.1 hp with (h'p | h'p)
· exact ht.2.1 p h'p
· rcases Finset.mem_image.1 h'p with ⟨p', p'v, rfl⟩
exact ((mem_diff _).1 (vs' (Finset.mem_coe.2 p'v))).1
· intro p hp
rcases Finset.mem_union.1 hp with (h'p | h'p)
· exact ht.2.2 p h'p
· rcases Finset.mem_image.1 h'p with ⟨p', p'v, rfl⟩
exact (hr p' (vs' p'v)).1.1
· convert hμv using 2
rw [Finset.set_biUnion_union, ← diff_diff, Finset.set_biUnion_finset_image]
/- Define `F` associating to a finite good covering the above enlarged good covering, covering
a proportion `1/(N+1)` of leftover points. Iterating `F`, one will get larger and larger good
coverings, missing in the end only a measure-zero set. -/
choose! F hF using this
let u n := F^[n] ∅
have u_succ : ∀ n : ℕ, u n.succ = F (u n) := fun n => by
simp only [u, Function.comp_apply, Function.iterate_succ']
have Pu : ∀ n, P (u n) := by
intro n
induction' n with n IH
· simp only [P, u, Prod.forall, id, Function.iterate_zero, Nat.zero_eq]
simp only [Finset.not_mem_empty, IsEmpty.forall_iff, Finset.coe_empty, forall₂_true_iff,
and_self_iff, pairwiseDisjoint_empty]
· rw [u_succ]
exact (hF (u n) IH).2.1
refine ⟨⋃ n, u n, countable_iUnion fun n => (u n).countable_toSet, ?_, ?_, ?_, ?_⟩
· intro p hp
rcases mem_iUnion.1 hp with ⟨n, hn⟩
exact (Pu n).2.1 p (Finset.mem_coe.1 hn)
· intro p hp
rcases mem_iUnion.1 hp with ⟨n, hn⟩
exact (Pu n).2.2 p (Finset.mem_coe.1 hn)
· have A :
∀ n,
μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ ⋃ n : ℕ, (u n : Set (α × ℝ))), closedBall p.fst p.snd) ≤
μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ u n), closedBall p.fst p.snd) := by
intro n
gcongr μ (s \ ?_)
exact biUnion_subset_biUnion_left (subset_iUnion (fun i => (u i : Set (α × ℝ))) n)
have B :
∀ n, μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ u n), closedBall p.fst p.snd) ≤
(N / (N + 1) : ℝ≥0∞) ^ n * μ s := by
intro n
induction' n with n IH
· simp only [u, le_refl, diff_empty, one_mul, iUnion_false, iUnion_empty, pow_zero,
Nat.zero_eq, Function.iterate_zero, id, Finset.not_mem_empty]
calc
μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ u n.succ), closedBall p.fst p.snd) ≤
N / (N + 1) * μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ u n), closedBall p.fst p.snd) := by
rw [u_succ]; exact (hF (u n) (Pu n)).2.2
_ ≤ (N / (N + 1) : ℝ≥0∞) ^ n.succ * μ s := by
rw [pow_succ', mul_assoc]; exact mul_le_mul_left' IH _
have C : Tendsto (fun n : ℕ => ((N : ℝ≥0∞) / (N + 1)) ^ n * μ s) atTop (𝓝 (0 * μ s)) := by
apply ENNReal.Tendsto.mul_const _ (Or.inr (measure_lt_top μ s).ne)
apply ENNReal.tendsto_pow_atTop_nhds_zero_of_lt_one
rw [ENNReal.div_lt_iff, one_mul]
· conv_lhs => rw [← add_zero (N : ℝ≥0∞)]
exact ENNReal.add_lt_add_left (ENNReal.natCast_ne_top N) zero_lt_one
· simp only [true_or_iff, add_eq_zero_iff, Ne, not_false_iff, one_ne_zero, and_false_iff]
· simp only [ENNReal.natCast_ne_top, Ne, not_false_iff, or_true_iff]
rw [zero_mul] at C
apply le_bot_iff.1
exact le_of_tendsto_of_tendsto' tendsto_const_nhds C fun n => (A n).trans (B n)
· refine (pairwiseDisjoint_iUnion ?_).2 fun n => (Pu n).1
apply (monotone_nat_of_le_succ fun n => ?_).directed_le
rw [← Nat.succ_eq_add_one, u_succ]
exact (hF (u n) (Pu n)).1
#align besicovitch.exists_disjoint_closed_ball_covering_ae_of_finite_measure_aux Besicovitch.exists_disjoint_closedBall_covering_ae_of_finiteMeasure_aux
/-- The measurable Besicovitch covering theorem. Assume that, for any `x` in a set `s`,
one is given a set of admissible closed balls centered at `x`, with arbitrarily small radii.
Then there exists a disjoint covering of almost all `s` by admissible closed balls centered at some
points of `s`.
This version requires that the underlying measure is sigma-finite, and that the space has the
Besicovitch covering property (which is satisfied for instance by normed real vector spaces).
It expresses the conclusion in a slightly awkward form (with a subset of `α × ℝ`) coming from the
proof technique.
For a version giving the conclusion in a nicer form, see `exists_disjoint_closedBall_covering_ae`.
-/
theorem exists_disjoint_closedBall_covering_ae_aux (μ : Measure α) [SigmaFinite μ] (f : α → Set ℝ)
(s : Set α) (hf : ∀ x ∈ s, ∀ δ > 0, (f x ∩ Ioo 0 δ).Nonempty) :
∃ t : Set (α × ℝ), t.Countable ∧ (∀ p ∈ t, p.1 ∈ s) ∧ (∀ p ∈ t, p.2 ∈ f p.1) ∧
μ (s \ ⋃ (p : α × ℝ) (_ : p ∈ t), closedBall p.1 p.2) = 0 ∧
t.PairwiseDisjoint fun p => closedBall p.1 p.2 := by
/- This is deduced from the finite measure case, by using a finite measure with respect to which
the initial sigma-finite measure is absolutely continuous. -/
rcases exists_absolutelyContinuous_isFiniteMeasure μ with ⟨ν, hν, hμν⟩
rcases exists_disjoint_closedBall_covering_ae_of_finiteMeasure_aux ν f s hf with
⟨t, t_count, ts, tr, tν, tdisj⟩
exact ⟨t, t_count, ts, tr, hμν tν, tdisj⟩
#align besicovitch.exists_disjoint_closed_ball_covering_ae_aux Besicovitch.exists_disjoint_closedBall_covering_ae_aux
/-- The measurable Besicovitch covering theorem. Assume that, for any `x` in a set `s`,
one is given a set of admissible closed balls centered at `x`, with arbitrarily small radii.
Then there exists a disjoint covering of almost all `s` by admissible closed balls centered at some
points of `s`. We can even require that the radius at `x` is bounded by a given function `R x`.
(Take `R = 1` if you don't need this additional feature).
This version requires that the underlying measure is sigma-finite, and that the space has the
Besicovitch covering property (which is satisfied for instance by normed real vector spaces).
-/
theorem exists_disjoint_closedBall_covering_ae (μ : Measure α) [SigmaFinite μ] (f : α → Set ℝ)
(s : Set α) (hf : ∀ x ∈ s, ∀ δ > 0, (f x ∩ Ioo 0 δ).Nonempty) (R : α → ℝ)
(hR : ∀ x ∈ s, 0 < R x) :
∃ (t : Set α) (r : α → ℝ), t.Countable ∧ t ⊆ s ∧
(∀ x ∈ t, r x ∈ f x ∩ Ioo 0 (R x)) ∧ μ (s \ ⋃ x ∈ t, closedBall x (r x)) = 0 ∧
t.PairwiseDisjoint fun x => closedBall x (r x) := by
let g x := f x ∩ Ioo 0 (R x)
have hg : ∀ x ∈ s, ∀ δ > 0, (g x ∩ Ioo 0 δ).Nonempty := fun x hx δ δpos ↦ by
rcases hf x hx (min δ (R x)) (lt_min δpos (hR x hx)) with ⟨r, hr⟩
exact ⟨r, ⟨⟨hr.1, hr.2.1, hr.2.2.trans_le (min_le_right _ _)⟩,
⟨hr.2.1, hr.2.2.trans_le (min_le_left _ _)⟩⟩⟩
rcases exists_disjoint_closedBall_covering_ae_aux μ g s hg with ⟨v, v_count, vs, vg, μv, v_disj⟩
obtain ⟨r, t, rfl⟩ : ∃ (r : α → ℝ) (t : Set α), v = graphOn r t := by
have I : ∀ p ∈ v, 0 ≤ p.2 := fun p hp => (vg p hp).2.1.le
rw [exists_eq_graphOn]
refine fun x hx y hy heq ↦ v_disj.eq hx hy <| not_disjoint_iff.2 ⟨x.1, ?_⟩
simp [*]
have hinj : InjOn (fun x ↦ (x, r x)) t := LeftInvOn.injOn (f₁' := Prod.fst) fun _ _ ↦ rfl
simp only [graphOn, forall_mem_image, biUnion_image, hinj.pairwiseDisjoint_image] at *
exact ⟨t, r, countable_of_injective_of_countable_image hinj v_count, vs, vg, μv, v_disj⟩
#align besicovitch.exists_disjoint_closed_ball_covering_ae Besicovitch.exists_disjoint_closedBall_covering_ae
/-- In a space with the Besicovitch property, any set `s` can be covered with balls whose measures
add up to at most `μ s + ε`, for any positive `ε`. This works even if one restricts the set of
allowed radii around a point `x` to a set `f x` which accumulates at `0`. -/
theorem exists_closedBall_covering_tsum_measure_le (μ : Measure α) [SigmaFinite μ]
[Measure.OuterRegular μ] {ε : ℝ≥0∞} (hε : ε ≠ 0) (f : α → Set ℝ) (s : Set α)
(hf : ∀ x ∈ s, ∀ δ > 0, (f x ∩ Ioo 0 δ).Nonempty) :
∃ (t : Set α) (r : α → ℝ), t.Countable ∧ t ⊆ s ∧ (∀ x ∈ t, r x ∈ f x) ∧
(s ⊆ ⋃ x ∈ t, closedBall x (r x)) ∧ (∑' x : t, μ (closedBall x (r x))) ≤ μ s + ε := by
/- For the proof, first cover almost all `s` with disjoint balls thanks to the usual Besicovitch
theorem. Taking the balls included in a well-chosen open neighborhood `u` of `s`, one may
ensure that their measures add at most to `μ s + ε / 2`. Let `s'` be the remaining set, of
measure `0`. Applying the other version of Besicovitch, one may cover it with at most `N`
disjoint subfamilies. Making sure that they are all included in a neighborhood `v` of `s'` of
measure at most `ε / (2 N)`, the sum of their measures is at most `ε / 2`,
completing the proof. -/
obtain ⟨u, su, u_open, μu⟩ : ∃ U, U ⊇ s ∧ IsOpen U ∧ μ U ≤ μ s + ε / 2 :=
Set.exists_isOpen_le_add _ _
(by
simpa only [or_false, Ne, ENNReal.div_eq_zero_iff, ENNReal.two_ne_top] using hε)
have : ∀ x ∈ s, ∃ R > 0, ball x R ⊆ u := fun x hx =>
Metric.mem_nhds_iff.1 (u_open.mem_nhds (su hx))
choose! R hR using this
obtain ⟨t0, r0, t0_count, t0s, hr0, μt0, t0_disj⟩ :
∃ (t0 : Set α) (r0 : α → ℝ), t0.Countable ∧ t0 ⊆ s ∧
(∀ x ∈ t0, r0 x ∈ f x ∩ Ioo 0 (R x)) ∧ μ (s \ ⋃ x ∈ t0, closedBall x (r0 x)) = 0 ∧
t0.PairwiseDisjoint fun x => closedBall x (r0 x) :=
exists_disjoint_closedBall_covering_ae μ f s hf R fun x hx => (hR x hx).1
-- we have constructed an almost everywhere covering of `s` by disjoint balls. Let `s'` be the
-- remaining set.
let s' := s \ ⋃ x ∈ t0, closedBall x (r0 x)
have s's : s' ⊆ s := diff_subset
obtain ⟨N, τ, hτ, H⟩ : ∃ N τ, 1 < τ ∧ IsEmpty (Besicovitch.SatelliteConfig α N τ) :=
HasBesicovitchCovering.no_satelliteConfig
obtain ⟨v, s'v, v_open, μv⟩ : ∃ v, v ⊇ s' ∧ IsOpen v ∧ μ v ≤ μ s' + ε / 2 / N :=
Set.exists_isOpen_le_add _ _
(by simp only [ne_eq, ENNReal.div_eq_zero_iff, hε, ENNReal.two_ne_top, or_self,
ENNReal.natCast_ne_top, not_false_eq_true])
have : ∀ x ∈ s', ∃ r1 ∈ f x ∩ Ioo (0 : ℝ) 1, closedBall x r1 ⊆ v := by
intro x hx
rcases Metric.mem_nhds_iff.1 (v_open.mem_nhds (s'v hx)) with ⟨r, rpos, hr⟩
rcases hf x (s's hx) (min r 1) (lt_min rpos zero_lt_one) with ⟨R', hR'⟩
exact
⟨R', ⟨hR'.1, hR'.2.1, hR'.2.2.trans_le (min_le_right _ _)⟩,
Subset.trans (closedBall_subset_ball (hR'.2.2.trans_le (min_le_left _ _))) hr⟩
choose! r1 hr1 using this
let q : BallPackage s' α :=
{ c := fun x => x
r := fun x => r1 x
rpos := fun x => (hr1 x.1 x.2).1.2.1
r_bound := 1
r_le := fun x => (hr1 x.1 x.2).1.2.2.le }
-- by Besicovitch, we cover `s'` with at most `N` families of disjoint balls, all included in
-- a suitable neighborhood `v` of `s'`.
obtain ⟨S, S_disj, hS⟩ :
∃ S : Fin N → Set s',
(∀ i : Fin N, (S i).PairwiseDisjoint fun j => closedBall (q.c j) (q.r j)) ∧
range q.c ⊆ ⋃ i : Fin N, ⋃ j ∈ S i, ball (q.c j) (q.r j) :=
exist_disjoint_covering_families hτ H q
have S_count : ∀ i, (S i).Countable := by
intro i
apply (S_disj i).countable_of_nonempty_interior fun j _ => ?_
have : (ball (j : α) (r1 j)).Nonempty := nonempty_ball.2 (q.rpos _)
exact this.mono ball_subset_interior_closedBall
let r x := if x ∈ s' then r1 x else r0 x
have r_t0 : ∀ x ∈ t0, r x = r0 x := by
intro x hx
have : ¬x ∈ s' := by
simp only [s', not_exists, exists_prop, mem_iUnion, mem_closedBall, not_and, not_lt, not_le,
mem_diff, not_forall]
intro _
refine ⟨x, hx, ?_⟩
rw [dist_self]
exact (hr0 x hx).2.1.le
simp only [r, if_neg this]
-- the desired covering set is given by the union of the families constructed in the first and
-- second steps.
refine ⟨t0 ∪ ⋃ i : Fin N, ((↑) : s' → α) '' S i, r, ?_, ?_, ?_, ?_, ?_⟩
-- it remains to check that they have the desired properties
· exact t0_count.union (countable_iUnion fun i => (S_count i).image _)
· simp only [t0s, true_and_iff, union_subset_iff, image_subset_iff, iUnion_subset_iff]
intro i x _
exact s's x.2
· intro x hx
cases hx with
| inl hx =>
rw [r_t0 x hx]
exact (hr0 _ hx).1
| inr hx =>
have h'x : x ∈ s' := by
simp only [mem_iUnion, mem_image] at hx
rcases hx with ⟨i, y, _, rfl⟩
exact y.2
simp only [r, if_pos h'x, (hr1 x h'x).1.1]
· intro x hx
by_cases h'x : x ∈ s'
· obtain ⟨i, y, ySi, xy⟩ : ∃ (i : Fin N) (y : ↥s'), y ∈ S i ∧ x ∈ ball (y : α) (r1 y) := by
have A : x ∈ range q.c := by
simpa only [not_exists, exists_prop, mem_iUnion, mem_closedBall, not_and, not_le,
mem_setOf_eq, Subtype.range_coe_subtype, mem_diff] using h'x
simpa only [mem_iUnion, mem_image, bex_def] using hS A
refine mem_iUnion₂.2 ⟨y, Or.inr ?_, ?_⟩
· simp only [mem_iUnion, mem_image]
exact ⟨i, y, ySi, rfl⟩
· have : (y : α) ∈ s' := y.2
simp only [r, if_pos this]
exact ball_subset_closedBall xy
· obtain ⟨y, yt0, hxy⟩ : ∃ y : α, y ∈ t0 ∧ x ∈ closedBall y (r0 y) := by
simpa [s', hx, -mem_closedBall] using h'x
refine mem_iUnion₂.2 ⟨y, Or.inl yt0, ?_⟩
rwa [r_t0 _ yt0]
-- the only nontrivial property is the measure control, which we check now
· -- the sets in the first step have measure at most `μ s + ε / 2`
have A : (∑' x : t0, μ (closedBall x (r x))) ≤ μ s + ε / 2 :=
calc
(∑' x : t0, μ (closedBall x (r x))) = ∑' x : t0, μ (closedBall x (r0 x)) := by
congr 1; ext x; rw [r_t0 x x.2]
_ = μ (⋃ x : t0, closedBall x (r0 x)) := by
haveI : Encodable t0 := t0_count.toEncodable
rw [measure_iUnion]
· exact (pairwise_subtype_iff_pairwise_set _ _).2 t0_disj
· exact fun i => measurableSet_closedBall
_ ≤ μ u := by
apply measure_mono
simp only [SetCoe.forall, Subtype.coe_mk, iUnion_subset_iff]
intro x hx
apply Subset.trans (closedBall_subset_ball (hr0 x hx).2.2) (hR x (t0s hx)).2
_ ≤ μ s + ε / 2 := μu
-- each subfamily in the second step has measure at most `ε / (2 N)`.
have B : ∀ i : Fin N, (∑' x : ((↑) : s' → α) '' S i, μ (closedBall x (r x))) ≤ ε / 2 / N :=
fun i =>
calc
(∑' x : ((↑) : s' → α) '' S i, μ (closedBall x (r x))) =
∑' x : S i, μ (closedBall x (r x)) := by
have : InjOn ((↑) : s' → α) (S i) := Subtype.val_injective.injOn
let F : S i ≃ ((↑) : s' → α) '' S i := this.bijOn_image.equiv _
exact (F.tsum_eq fun x => μ (closedBall x (r x))).symm
_ = ∑' x : S i, μ (closedBall x (r1 x)) := by
congr 1; ext x; have : (x : α) ∈ s' := x.1.2; simp only [s', r, if_pos this]
_ = μ (⋃ x : S i, closedBall x (r1 x)) := by
haveI : Encodable (S i) := (S_count i).toEncodable
rw [measure_iUnion]
· exact (pairwise_subtype_iff_pairwise_set _ _).2 (S_disj i)
· exact fun i => measurableSet_closedBall
_ ≤ μ v := by
apply measure_mono
simp only [SetCoe.forall, Subtype.coe_mk, iUnion_subset_iff]
intro x xs' _
exact (hr1 x xs').2
_ ≤ ε / 2 / N := by have : μ s' = 0 := μt0; rwa [this, zero_add] at μv
-- add up all these to prove the desired estimate
calc
(∑' x : ↥(t0 ∪ ⋃ i : Fin N, ((↑) : s' → α) '' S i), μ (closedBall x (r x))) ≤
(∑' x : t0, μ (closedBall x (r x))) +
∑' x : ⋃ i : Fin N, ((↑) : s' → α) '' S i, μ (closedBall x (r x)) :=
ENNReal.tsum_union_le (fun x => μ (closedBall x (r x))) _ _
_ ≤
(∑' x : t0, μ (closedBall x (r x))) +
∑ i : Fin N, ∑' x : ((↑) : s' → α) '' S i, μ (closedBall x (r x)) :=
(add_le_add le_rfl (ENNReal.tsum_iUnion_le (fun x => μ (closedBall x (r x))) _))
_ ≤ μ s + ε / 2 + ∑ i : Fin N, ε / 2 / N := by
gcongr
apply B
_ ≤ μ s + ε / 2 + ε / 2 := by
gcongr
simp only [Finset.card_fin, Finset.sum_const, nsmul_eq_mul, ENNReal.mul_div_le]
_ = μ s + ε := by rw [add_assoc, ENNReal.add_halves]
#align besicovitch.exists_closed_ball_covering_tsum_measure_le Besicovitch.exists_closedBall_covering_tsum_measure_le
/-! ### Consequences on differentiation of measures -/
/-- In a space with the Besicovitch covering property, the set of closed balls with positive radius
forms a Vitali family. This is essentially a restatement of the measurable Besicovitch theorem. -/
protected def vitaliFamily (μ : Measure α) [SigmaFinite μ] : VitaliFamily μ where
setsAt x := (fun r : ℝ => closedBall x r) '' Ioi (0 : ℝ)
measurableSet _ := forall_mem_image.2 fun _ _ ↦ isClosed_ball.measurableSet
nonempty_interior _ := forall_mem_image.2 fun r rpos ↦
(nonempty_ball.2 rpos).mono ball_subset_interior_closedBall
nontrivial x ε εpos := ⟨closedBall x ε, mem_image_of_mem _ εpos, Subset.rfl⟩
covering := by
intro s f fsubset ffine
let g : α → Set ℝ := fun x => {r | 0 < r ∧ closedBall x r ∈ f x}
have A : ∀ x ∈ s, ∀ δ > 0, (g x ∩ Ioo 0 δ).Nonempty := by
intro x xs δ δpos
obtain ⟨t, tf, ht⟩ : ∃ (t : Set α), t ∈ f x ∧ t ⊆ closedBall x (δ / 2) :=
ffine x xs (δ / 2) (half_pos δpos)
obtain ⟨r, rpos, rfl⟩ : ∃ r : ℝ, 0 < r ∧ closedBall x r = t := by simpa using fsubset x xs tf
rcases le_total r (δ / 2) with (H | H)
· exact ⟨r, ⟨rpos, tf⟩, ⟨rpos, H.trans_lt (half_lt_self δpos)⟩⟩
· have : closedBall x r = closedBall x (δ / 2) :=
Subset.antisymm ht (closedBall_subset_closedBall H)
rw [this] at tf
exact ⟨δ / 2, ⟨half_pos δpos, tf⟩, ⟨half_pos δpos, half_lt_self δpos⟩⟩
obtain ⟨t, r, _, ts, tg, μt, tdisj⟩ :
∃ (t : Set α) (r : α → ℝ),
t.Countable ∧
t ⊆ s ∧
(∀ x ∈ t, r x ∈ g x ∩ Ioo 0 1) ∧
μ (s \ ⋃ x ∈ t, closedBall x (r x)) = 0 ∧
t.PairwiseDisjoint fun x => closedBall x (r x) :=
exists_disjoint_closedBall_covering_ae μ g s A (fun _ => 1) fun _ _ => zero_lt_one
let F : α → α × Set α := fun x => (x, closedBall x (r x))
refine ⟨F '' t, ?_, ?_, ?_, ?_⟩
· rintro - ⟨x, hx, rfl⟩; exact ts hx
· rintro p ⟨x, hx, rfl⟩ q ⟨y, hy, rfl⟩ hxy
exact tdisj hx hy (ne_of_apply_ne F hxy)
· rintro - ⟨x, hx, rfl⟩; exact (tg x hx).1.2
· rwa [biUnion_image]
#align besicovitch.vitali_family Besicovitch.vitaliFamily
/-- The main feature of the Besicovitch Vitali family is that its filter at a point `x` corresponds
to convergence along closed balls. We record one of the two implications here, which will enable us
to deduce specific statements on differentiation of measures in this context from the general
versions. -/
| Mathlib/MeasureTheory/Covering/Besicovitch.lean | 1,099 | 1,111 | theorem tendsto_filterAt (μ : Measure α) [SigmaFinite μ] (x : α) :
Tendsto (fun r => closedBall x r) (𝓝[>] 0) ((Besicovitch.vitaliFamily μ).filterAt x) := by |
intro s hs
simp only [mem_map]
obtain ⟨ε, εpos, hε⟩ :
∃ (ε : ℝ), ε > 0 ∧
∀ a : Set α, a ∈ (Besicovitch.vitaliFamily μ).setsAt x → a ⊆ closedBall x ε → a ∈ s :=
(VitaliFamily.mem_filterAt_iff _).1 hs
have : Ioc (0 : ℝ) ε ∈ 𝓝[>] (0 : ℝ) := Ioc_mem_nhdsWithin_Ioi ⟨le_rfl, εpos⟩
filter_upwards [this] with _ hr
apply hε
· exact mem_image_of_mem _ hr.1
· exact closedBall_subset_closedBall hr.2
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import Mathlib.GroupTheory.GroupAction.ConjAct
import Mathlib.GroupTheory.GroupAction.Quotient
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.Topology.Algebra.Monoid
import Mathlib.Topology.Algebra.Constructions
#align_import topology.algebra.group.basic from "leanprover-community/mathlib"@"3b1890e71632be9e3b2086ab512c3259a7e9a3ef"
/-!
# Topological groups
This file defines the following typeclasses:
* `TopologicalGroup`, `TopologicalAddGroup`: multiplicative and additive topological groups,
i.e., groups with continuous `(*)` and `(⁻¹)` / `(+)` and `(-)`;
* `ContinuousSub G` means that `G` has a continuous subtraction operation.
There is an instance deducing `ContinuousSub` from `TopologicalGroup` but we use a separate
typeclass because, e.g., `ℕ` and `ℝ≥0` have continuous subtraction but are not additive groups.
We also define `Homeomorph` versions of several `Equiv`s: `Homeomorph.mulLeft`,
`Homeomorph.mulRight`, `Homeomorph.inv`, and prove a few facts about neighbourhood filters in
groups.
## Tags
topological space, group, topological group
-/
open scoped Classical
open Set Filter TopologicalSpace Function Topology Pointwise MulOpposite
universe u v w x
variable {G : Type w} {H : Type x} {α : Type u} {β : Type v}
section ContinuousMulGroup
/-!
### Groups with continuous multiplication
In this section we prove a few statements about groups with continuous `(*)`.
-/
variable [TopologicalSpace G] [Group G] [ContinuousMul G]
/-- Multiplication from the left in a topological group as a homeomorphism. -/
@[to_additive "Addition from the left in a topological additive group as a homeomorphism."]
protected def Homeomorph.mulLeft (a : G) : G ≃ₜ G :=
{ Equiv.mulLeft a with
continuous_toFun := continuous_const.mul continuous_id
continuous_invFun := continuous_const.mul continuous_id }
#align homeomorph.mul_left Homeomorph.mulLeft
#align homeomorph.add_left Homeomorph.addLeft
@[to_additive (attr := simp)]
theorem Homeomorph.coe_mulLeft (a : G) : ⇑(Homeomorph.mulLeft a) = (a * ·) :=
rfl
#align homeomorph.coe_mul_left Homeomorph.coe_mulLeft
#align homeomorph.coe_add_left Homeomorph.coe_addLeft
@[to_additive]
theorem Homeomorph.mulLeft_symm (a : G) : (Homeomorph.mulLeft a).symm = Homeomorph.mulLeft a⁻¹ := by
ext
rfl
#align homeomorph.mul_left_symm Homeomorph.mulLeft_symm
#align homeomorph.add_left_symm Homeomorph.addLeft_symm
@[to_additive]
lemma isOpenMap_mul_left (a : G) : IsOpenMap (a * ·) := (Homeomorph.mulLeft a).isOpenMap
#align is_open_map_mul_left isOpenMap_mul_left
#align is_open_map_add_left isOpenMap_add_left
@[to_additive IsOpen.left_addCoset]
theorem IsOpen.leftCoset {U : Set G} (h : IsOpen U) (x : G) : IsOpen (x • U) :=
isOpenMap_mul_left x _ h
#align is_open.left_coset IsOpen.leftCoset
#align is_open.left_add_coset IsOpen.left_addCoset
@[to_additive]
lemma isClosedMap_mul_left (a : G) : IsClosedMap (a * ·) := (Homeomorph.mulLeft a).isClosedMap
#align is_closed_map_mul_left isClosedMap_mul_left
#align is_closed_map_add_left isClosedMap_add_left
@[to_additive IsClosed.left_addCoset]
theorem IsClosed.leftCoset {U : Set G} (h : IsClosed U) (x : G) : IsClosed (x • U) :=
isClosedMap_mul_left x _ h
#align is_closed.left_coset IsClosed.leftCoset
#align is_closed.left_add_coset IsClosed.left_addCoset
/-- Multiplication from the right in a topological group as a homeomorphism. -/
@[to_additive "Addition from the right in a topological additive group as a homeomorphism."]
protected def Homeomorph.mulRight (a : G) : G ≃ₜ G :=
{ Equiv.mulRight a with
continuous_toFun := continuous_id.mul continuous_const
continuous_invFun := continuous_id.mul continuous_const }
#align homeomorph.mul_right Homeomorph.mulRight
#align homeomorph.add_right Homeomorph.addRight
@[to_additive (attr := simp)]
lemma Homeomorph.coe_mulRight (a : G) : ⇑(Homeomorph.mulRight a) = (· * a) := rfl
#align homeomorph.coe_mul_right Homeomorph.coe_mulRight
#align homeomorph.coe_add_right Homeomorph.coe_addRight
@[to_additive]
theorem Homeomorph.mulRight_symm (a : G) :
(Homeomorph.mulRight a).symm = Homeomorph.mulRight a⁻¹ := by
ext
rfl
#align homeomorph.mul_right_symm Homeomorph.mulRight_symm
#align homeomorph.add_right_symm Homeomorph.addRight_symm
@[to_additive]
theorem isOpenMap_mul_right (a : G) : IsOpenMap (· * a) :=
(Homeomorph.mulRight a).isOpenMap
#align is_open_map_mul_right isOpenMap_mul_right
#align is_open_map_add_right isOpenMap_add_right
@[to_additive IsOpen.right_addCoset]
theorem IsOpen.rightCoset {U : Set G} (h : IsOpen U) (x : G) : IsOpen (op x • U) :=
isOpenMap_mul_right x _ h
#align is_open.right_coset IsOpen.rightCoset
#align is_open.right_add_coset IsOpen.right_addCoset
@[to_additive]
theorem isClosedMap_mul_right (a : G) : IsClosedMap (· * a) :=
(Homeomorph.mulRight a).isClosedMap
#align is_closed_map_mul_right isClosedMap_mul_right
#align is_closed_map_add_right isClosedMap_add_right
@[to_additive IsClosed.right_addCoset]
theorem IsClosed.rightCoset {U : Set G} (h : IsClosed U) (x : G) : IsClosed (op x • U) :=
isClosedMap_mul_right x _ h
#align is_closed.right_coset IsClosed.rightCoset
#align is_closed.right_add_coset IsClosed.right_addCoset
@[to_additive]
theorem discreteTopology_of_isOpen_singleton_one (h : IsOpen ({1} : Set G)) :
DiscreteTopology G := by
rw [← singletons_open_iff_discrete]
intro g
suffices {g} = (g⁻¹ * ·) ⁻¹' {1} by
rw [this]
exact (continuous_mul_left g⁻¹).isOpen_preimage _ h
simp only [mul_one, Set.preimage_mul_left_singleton, eq_self_iff_true, inv_inv,
Set.singleton_eq_singleton_iff]
#align discrete_topology_of_open_singleton_one discreteTopology_of_isOpen_singleton_one
#align discrete_topology_of_open_singleton_zero discreteTopology_of_isOpen_singleton_zero
@[to_additive]
theorem discreteTopology_iff_isOpen_singleton_one : DiscreteTopology G ↔ IsOpen ({1} : Set G) :=
⟨fun h => forall_open_iff_discrete.mpr h {1}, discreteTopology_of_isOpen_singleton_one⟩
#align discrete_topology_iff_open_singleton_one discreteTopology_iff_isOpen_singleton_one
#align discrete_topology_iff_open_singleton_zero discreteTopology_iff_isOpen_singleton_zero
end ContinuousMulGroup
/-!
### `ContinuousInv` and `ContinuousNeg`
-/
/-- Basic hypothesis to talk about a topological additive group. A topological additive group
over `M`, for example, is obtained by requiring the instances `AddGroup M` and
`ContinuousAdd M` and `ContinuousNeg M`. -/
class ContinuousNeg (G : Type u) [TopologicalSpace G] [Neg G] : Prop where
continuous_neg : Continuous fun a : G => -a
#align has_continuous_neg ContinuousNeg
-- Porting note: added
attribute [continuity] ContinuousNeg.continuous_neg
/-- Basic hypothesis to talk about a topological group. A topological group over `M`, for example,
is obtained by requiring the instances `Group M` and `ContinuousMul M` and
`ContinuousInv M`. -/
@[to_additive (attr := continuity)]
class ContinuousInv (G : Type u) [TopologicalSpace G] [Inv G] : Prop where
continuous_inv : Continuous fun a : G => a⁻¹
#align has_continuous_inv ContinuousInv
--#align has_continuous_neg ContinuousNeg
-- Porting note: added
attribute [continuity] ContinuousInv.continuous_inv
export ContinuousInv (continuous_inv)
export ContinuousNeg (continuous_neg)
section ContinuousInv
variable [TopologicalSpace G] [Inv G] [ContinuousInv G]
@[to_additive]
protected theorem Specializes.inv {x y : G} (h : x ⤳ y) : (x⁻¹) ⤳ (y⁻¹) :=
h.map continuous_inv
@[to_additive]
protected theorem Inseparable.inv {x y : G} (h : Inseparable x y) : Inseparable (x⁻¹) (y⁻¹) :=
h.map continuous_inv
@[to_additive]
protected theorem Specializes.zpow {G : Type*} [DivInvMonoid G] [TopologicalSpace G]
[ContinuousMul G] [ContinuousInv G] {x y : G} (h : x ⤳ y) : ∀ m : ℤ, (x ^ m) ⤳ (y ^ m)
| .ofNat n => by simpa using h.pow n
| .negSucc n => by simpa using (h.pow (n + 1)).inv
@[to_additive]
protected theorem Inseparable.zpow {G : Type*} [DivInvMonoid G] [TopologicalSpace G]
[ContinuousMul G] [ContinuousInv G] {x y : G} (h : Inseparable x y) (m : ℤ) :
Inseparable (x ^ m) (y ^ m) :=
(h.specializes.zpow m).antisymm (h.specializes'.zpow m)
@[to_additive]
instance : ContinuousInv (ULift G) :=
⟨continuous_uLift_up.comp (continuous_inv.comp continuous_uLift_down)⟩
@[to_additive]
theorem continuousOn_inv {s : Set G} : ContinuousOn Inv.inv s :=
continuous_inv.continuousOn
#align continuous_on_inv continuousOn_inv
#align continuous_on_neg continuousOn_neg
@[to_additive]
theorem continuousWithinAt_inv {s : Set G} {x : G} : ContinuousWithinAt Inv.inv s x :=
continuous_inv.continuousWithinAt
#align continuous_within_at_inv continuousWithinAt_inv
#align continuous_within_at_neg continuousWithinAt_neg
@[to_additive]
theorem continuousAt_inv {x : G} : ContinuousAt Inv.inv x :=
continuous_inv.continuousAt
#align continuous_at_inv continuousAt_inv
#align continuous_at_neg continuousAt_neg
@[to_additive]
theorem tendsto_inv (a : G) : Tendsto Inv.inv (𝓝 a) (𝓝 a⁻¹) :=
continuousAt_inv
#align tendsto_inv tendsto_inv
#align tendsto_neg tendsto_neg
/-- If a function converges to a value in a multiplicative topological group, then its inverse
converges to the inverse of this value. For the version in normed fields assuming additionally
that the limit is nonzero, use `Tendsto.inv'`. -/
@[to_additive
"If a function converges to a value in an additive topological group, then its
negation converges to the negation of this value."]
theorem Filter.Tendsto.inv {f : α → G} {l : Filter α} {y : G} (h : Tendsto f l (𝓝 y)) :
Tendsto (fun x => (f x)⁻¹) l (𝓝 y⁻¹) :=
(continuous_inv.tendsto y).comp h
#align filter.tendsto.inv Filter.Tendsto.inv
#align filter.tendsto.neg Filter.Tendsto.neg
variable [TopologicalSpace α] {f : α → G} {s : Set α} {x : α}
@[to_additive (attr := continuity, fun_prop)]
theorem Continuous.inv (hf : Continuous f) : Continuous fun x => (f x)⁻¹ :=
continuous_inv.comp hf
#align continuous.inv Continuous.inv
#align continuous.neg Continuous.neg
@[to_additive (attr := fun_prop)]
theorem ContinuousAt.inv (hf : ContinuousAt f x) : ContinuousAt (fun x => (f x)⁻¹) x :=
continuousAt_inv.comp hf
#align continuous_at.inv ContinuousAt.inv
#align continuous_at.neg ContinuousAt.neg
@[to_additive (attr := fun_prop)]
theorem ContinuousOn.inv (hf : ContinuousOn f s) : ContinuousOn (fun x => (f x)⁻¹) s :=
continuous_inv.comp_continuousOn hf
#align continuous_on.inv ContinuousOn.inv
#align continuous_on.neg ContinuousOn.neg
@[to_additive]
theorem ContinuousWithinAt.inv (hf : ContinuousWithinAt f s x) :
ContinuousWithinAt (fun x => (f x)⁻¹) s x :=
Filter.Tendsto.inv hf
#align continuous_within_at.inv ContinuousWithinAt.inv
#align continuous_within_at.neg ContinuousWithinAt.neg
@[to_additive]
instance Prod.continuousInv [TopologicalSpace H] [Inv H] [ContinuousInv H] :
ContinuousInv (G × H) :=
⟨continuous_inv.fst'.prod_mk continuous_inv.snd'⟩
variable {ι : Type*}
@[to_additive]
instance Pi.continuousInv {C : ι → Type*} [∀ i, TopologicalSpace (C i)] [∀ i, Inv (C i)]
[∀ i, ContinuousInv (C i)] : ContinuousInv (∀ i, C i) where
continuous_inv := continuous_pi fun i => (continuous_apply i).inv
#align pi.has_continuous_inv Pi.continuousInv
#align pi.has_continuous_neg Pi.continuousNeg
/-- A version of `Pi.continuousInv` for non-dependent functions. It is needed because sometimes
Lean fails to use `Pi.continuousInv` for non-dependent functions. -/
@[to_additive
"A version of `Pi.continuousNeg` for non-dependent functions. It is needed
because sometimes Lean fails to use `Pi.continuousNeg` for non-dependent functions."]
instance Pi.has_continuous_inv' : ContinuousInv (ι → G) :=
Pi.continuousInv
#align pi.has_continuous_inv' Pi.has_continuous_inv'
#align pi.has_continuous_neg' Pi.has_continuous_neg'
@[to_additive]
instance (priority := 100) continuousInv_of_discreteTopology [TopologicalSpace H] [Inv H]
[DiscreteTopology H] : ContinuousInv H :=
⟨continuous_of_discreteTopology⟩
#align has_continuous_inv_of_discrete_topology continuousInv_of_discreteTopology
#align has_continuous_neg_of_discrete_topology continuousNeg_of_discreteTopology
section PointwiseLimits
variable (G₁ G₂ : Type*) [TopologicalSpace G₂] [T2Space G₂]
@[to_additive]
theorem isClosed_setOf_map_inv [Inv G₁] [Inv G₂] [ContinuousInv G₂] :
IsClosed { f : G₁ → G₂ | ∀ x, f x⁻¹ = (f x)⁻¹ } := by
simp only [setOf_forall]
exact isClosed_iInter fun i => isClosed_eq (continuous_apply _) (continuous_apply _).inv
#align is_closed_set_of_map_inv isClosed_setOf_map_inv
#align is_closed_set_of_map_neg isClosed_setOf_map_neg
end PointwiseLimits
instance [TopologicalSpace H] [Inv H] [ContinuousInv H] : ContinuousNeg (Additive H) where
continuous_neg := @continuous_inv H _ _ _
instance [TopologicalSpace H] [Neg H] [ContinuousNeg H] : ContinuousInv (Multiplicative H) where
continuous_inv := @continuous_neg H _ _ _
end ContinuousInv
section ContinuousInvolutiveInv
variable [TopologicalSpace G] [InvolutiveInv G] [ContinuousInv G] {s : Set G}
@[to_additive]
theorem IsCompact.inv (hs : IsCompact s) : IsCompact s⁻¹ := by
rw [← image_inv]
exact hs.image continuous_inv
#align is_compact.inv IsCompact.inv
#align is_compact.neg IsCompact.neg
variable (G)
/-- Inversion in a topological group as a homeomorphism. -/
@[to_additive "Negation in a topological group as a homeomorphism."]
protected def Homeomorph.inv (G : Type*) [TopologicalSpace G] [InvolutiveInv G]
[ContinuousInv G] : G ≃ₜ G :=
{ Equiv.inv G with
continuous_toFun := continuous_inv
continuous_invFun := continuous_inv }
#align homeomorph.inv Homeomorph.inv
#align homeomorph.neg Homeomorph.neg
@[to_additive (attr := simp)]
lemma Homeomorph.coe_inv {G : Type*} [TopologicalSpace G] [InvolutiveInv G] [ContinuousInv G] :
⇑(Homeomorph.inv G) = Inv.inv := rfl
@[to_additive]
theorem isOpenMap_inv : IsOpenMap (Inv.inv : G → G) :=
(Homeomorph.inv _).isOpenMap
#align is_open_map_inv isOpenMap_inv
#align is_open_map_neg isOpenMap_neg
@[to_additive]
theorem isClosedMap_inv : IsClosedMap (Inv.inv : G → G) :=
(Homeomorph.inv _).isClosedMap
#align is_closed_map_inv isClosedMap_inv
#align is_closed_map_neg isClosedMap_neg
variable {G}
@[to_additive]
theorem IsOpen.inv (hs : IsOpen s) : IsOpen s⁻¹ :=
hs.preimage continuous_inv
#align is_open.inv IsOpen.inv
#align is_open.neg IsOpen.neg
@[to_additive]
theorem IsClosed.inv (hs : IsClosed s) : IsClosed s⁻¹ :=
hs.preimage continuous_inv
#align is_closed.inv IsClosed.inv
#align is_closed.neg IsClosed.neg
@[to_additive]
theorem inv_closure : ∀ s : Set G, (closure s)⁻¹ = closure s⁻¹ :=
(Homeomorph.inv G).preimage_closure
#align inv_closure inv_closure
#align neg_closure neg_closure
end ContinuousInvolutiveInv
section LatticeOps
variable {ι' : Sort*} [Inv G]
@[to_additive]
theorem continuousInv_sInf {ts : Set (TopologicalSpace G)}
(h : ∀ t ∈ ts, @ContinuousInv G t _) : @ContinuousInv G (sInf ts) _ :=
letI := sInf ts
{ continuous_inv :=
continuous_sInf_rng.2 fun t ht =>
continuous_sInf_dom ht (@ContinuousInv.continuous_inv G t _ (h t ht)) }
#align has_continuous_inv_Inf continuousInv_sInf
#align has_continuous_neg_Inf continuousNeg_sInf
@[to_additive]
theorem continuousInv_iInf {ts' : ι' → TopologicalSpace G}
(h' : ∀ i, @ContinuousInv G (ts' i) _) : @ContinuousInv G (⨅ i, ts' i) _ := by
rw [← sInf_range]
exact continuousInv_sInf (Set.forall_mem_range.mpr h')
#align has_continuous_inv_infi continuousInv_iInf
#align has_continuous_neg_infi continuousNeg_iInf
@[to_additive]
theorem continuousInv_inf {t₁ t₂ : TopologicalSpace G} (h₁ : @ContinuousInv G t₁ _)
(h₂ : @ContinuousInv G t₂ _) : @ContinuousInv G (t₁ ⊓ t₂) _ := by
rw [inf_eq_iInf]
refine continuousInv_iInf fun b => ?_
cases b <;> assumption
#align has_continuous_inv_inf continuousInv_inf
#align has_continuous_neg_inf continuousNeg_inf
end LatticeOps
@[to_additive]
theorem Inducing.continuousInv {G H : Type*} [Inv G] [Inv H] [TopologicalSpace G]
[TopologicalSpace H] [ContinuousInv H] {f : G → H} (hf : Inducing f)
(hf_inv : ∀ x, f x⁻¹ = (f x)⁻¹) : ContinuousInv G :=
⟨hf.continuous_iff.2 <| by simpa only [(· ∘ ·), hf_inv] using hf.continuous.inv⟩
#align inducing.has_continuous_inv Inducing.continuousInv
#align inducing.has_continuous_neg Inducing.continuousNeg
section TopologicalGroup
/-!
### Topological groups
A topological group is a group in which the multiplication and inversion operations are
continuous. Topological additive groups are defined in the same way. Equivalently, we can require
that the division operation `x y ↦ x * y⁻¹` (resp., subtraction) is continuous.
-/
-- Porting note (#11215): TODO should this docstring be extended
-- to match the multiplicative version?
/-- A topological (additive) group is a group in which the addition and negation operations are
continuous. -/
class TopologicalAddGroup (G : Type u) [TopologicalSpace G] [AddGroup G] extends
ContinuousAdd G, ContinuousNeg G : Prop
#align topological_add_group TopologicalAddGroup
/-- A topological group is a group in which the multiplication and inversion operations are
continuous.
When you declare an instance that does not already have a `UniformSpace` instance,
you should also provide an instance of `UniformSpace` and `UniformGroup` using
`TopologicalGroup.toUniformSpace` and `topologicalCommGroup_isUniform`. -/
-- Porting note: check that these ↑ names exist once they've been ported in the future.
@[to_additive]
class TopologicalGroup (G : Type*) [TopologicalSpace G] [Group G] extends ContinuousMul G,
ContinuousInv G : Prop
#align topological_group TopologicalGroup
--#align topological_add_group TopologicalAddGroup
section Conj
instance ConjAct.units_continuousConstSMul {M} [Monoid M] [TopologicalSpace M]
[ContinuousMul M] : ContinuousConstSMul (ConjAct Mˣ) M :=
⟨fun _ => (continuous_const.mul continuous_id).mul continuous_const⟩
#align conj_act.units_has_continuous_const_smul ConjAct.units_continuousConstSMul
variable [TopologicalSpace G] [Inv G] [Mul G] [ContinuousMul G]
/-- Conjugation is jointly continuous on `G × G` when both `mul` and `inv` are continuous. -/
@[to_additive
"Conjugation is jointly continuous on `G × G` when both `add` and `neg` are continuous."]
theorem TopologicalGroup.continuous_conj_prod [ContinuousInv G] :
Continuous fun g : G × G => g.fst * g.snd * g.fst⁻¹ :=
continuous_mul.mul (continuous_inv.comp continuous_fst)
#align topological_group.continuous_conj_prod TopologicalGroup.continuous_conj_prod
#align topological_add_group.continuous_conj_sum TopologicalAddGroup.continuous_conj_sum
/-- Conjugation by a fixed element is continuous when `mul` is continuous. -/
@[to_additive (attr := continuity)
"Conjugation by a fixed element is continuous when `add` is continuous."]
theorem TopologicalGroup.continuous_conj (g : G) : Continuous fun h : G => g * h * g⁻¹ :=
(continuous_mul_right g⁻¹).comp (continuous_mul_left g)
#align topological_group.continuous_conj TopologicalGroup.continuous_conj
#align topological_add_group.continuous_conj TopologicalAddGroup.continuous_conj
/-- Conjugation acting on fixed element of the group is continuous when both `mul` and
`inv` are continuous. -/
@[to_additive (attr := continuity)
"Conjugation acting on fixed element of the additive group is continuous when both
`add` and `neg` are continuous."]
theorem TopologicalGroup.continuous_conj' [ContinuousInv G] (h : G) :
Continuous fun g : G => g * h * g⁻¹ :=
(continuous_mul_right h).mul continuous_inv
#align topological_group.continuous_conj' TopologicalGroup.continuous_conj'
#align topological_add_group.continuous_conj' TopologicalAddGroup.continuous_conj'
end Conj
variable [TopologicalSpace G] [Group G] [TopologicalGroup G] [TopologicalSpace α] {f : α → G}
{s : Set α} {x : α}
instance : TopologicalGroup (ULift G) where
section ZPow
@[to_additive (attr := continuity)]
theorem continuous_zpow : ∀ z : ℤ, Continuous fun a : G => a ^ z
| Int.ofNat n => by simpa using continuous_pow n
| Int.negSucc n => by simpa using (continuous_pow (n + 1)).inv
#align continuous_zpow continuous_zpow
#align continuous_zsmul continuous_zsmul
instance AddGroup.continuousConstSMul_int {A} [AddGroup A] [TopologicalSpace A]
[TopologicalAddGroup A] : ContinuousConstSMul ℤ A :=
⟨continuous_zsmul⟩
#align add_group.has_continuous_const_smul_int AddGroup.continuousConstSMul_int
instance AddGroup.continuousSMul_int {A} [AddGroup A] [TopologicalSpace A]
[TopologicalAddGroup A] : ContinuousSMul ℤ A :=
⟨continuous_prod_of_discrete_left.mpr continuous_zsmul⟩
#align add_group.has_continuous_smul_int AddGroup.continuousSMul_int
@[to_additive (attr := continuity, fun_prop)]
theorem Continuous.zpow {f : α → G} (h : Continuous f) (z : ℤ) : Continuous fun b => f b ^ z :=
(continuous_zpow z).comp h
#align continuous.zpow Continuous.zpow
#align continuous.zsmul Continuous.zsmul
@[to_additive]
theorem continuousOn_zpow {s : Set G} (z : ℤ) : ContinuousOn (fun x => x ^ z) s :=
(continuous_zpow z).continuousOn
#align continuous_on_zpow continuousOn_zpow
#align continuous_on_zsmul continuousOn_zsmul
@[to_additive]
theorem continuousAt_zpow (x : G) (z : ℤ) : ContinuousAt (fun x => x ^ z) x :=
(continuous_zpow z).continuousAt
#align continuous_at_zpow continuousAt_zpow
#align continuous_at_zsmul continuousAt_zsmul
@[to_additive]
theorem Filter.Tendsto.zpow {α} {l : Filter α} {f : α → G} {x : G} (hf : Tendsto f l (𝓝 x))
(z : ℤ) : Tendsto (fun x => f x ^ z) l (𝓝 (x ^ z)) :=
(continuousAt_zpow _ _).tendsto.comp hf
#align filter.tendsto.zpow Filter.Tendsto.zpow
#align filter.tendsto.zsmul Filter.Tendsto.zsmul
@[to_additive]
theorem ContinuousWithinAt.zpow {f : α → G} {x : α} {s : Set α} (hf : ContinuousWithinAt f s x)
(z : ℤ) : ContinuousWithinAt (fun x => f x ^ z) s x :=
Filter.Tendsto.zpow hf z
#align continuous_within_at.zpow ContinuousWithinAt.zpow
#align continuous_within_at.zsmul ContinuousWithinAt.zsmul
@[to_additive (attr := fun_prop)]
theorem ContinuousAt.zpow {f : α → G} {x : α} (hf : ContinuousAt f x) (z : ℤ) :
ContinuousAt (fun x => f x ^ z) x :=
Filter.Tendsto.zpow hf z
#align continuous_at.zpow ContinuousAt.zpow
#align continuous_at.zsmul ContinuousAt.zsmul
@[to_additive (attr := fun_prop)]
theorem ContinuousOn.zpow {f : α → G} {s : Set α} (hf : ContinuousOn f s) (z : ℤ) :
ContinuousOn (fun x => f x ^ z) s := fun x hx => (hf x hx).zpow z
#align continuous_on.zpow ContinuousOn.zpow
#align continuous_on.zsmul ContinuousOn.zsmul
end ZPow
section OrderedCommGroup
variable [TopologicalSpace H] [OrderedCommGroup H] [ContinuousInv H]
@[to_additive]
theorem tendsto_inv_nhdsWithin_Ioi {a : H} : Tendsto Inv.inv (𝓝[>] a) (𝓝[<] a⁻¹) :=
(continuous_inv.tendsto a).inf <| by simp [tendsto_principal_principal]
#align tendsto_inv_nhds_within_Ioi tendsto_inv_nhdsWithin_Ioi
#align tendsto_neg_nhds_within_Ioi tendsto_neg_nhdsWithin_Ioi
@[to_additive]
theorem tendsto_inv_nhdsWithin_Iio {a : H} : Tendsto Inv.inv (𝓝[<] a) (𝓝[>] a⁻¹) :=
(continuous_inv.tendsto a).inf <| by simp [tendsto_principal_principal]
#align tendsto_inv_nhds_within_Iio tendsto_inv_nhdsWithin_Iio
#align tendsto_neg_nhds_within_Iio tendsto_neg_nhdsWithin_Iio
@[to_additive]
theorem tendsto_inv_nhdsWithin_Ioi_inv {a : H} : Tendsto Inv.inv (𝓝[>] a⁻¹) (𝓝[<] a) := by
simpa only [inv_inv] using @tendsto_inv_nhdsWithin_Ioi _ _ _ _ a⁻¹
#align tendsto_inv_nhds_within_Ioi_inv tendsto_inv_nhdsWithin_Ioi_inv
#align tendsto_neg_nhds_within_Ioi_neg tendsto_neg_nhdsWithin_Ioi_neg
@[to_additive]
theorem tendsto_inv_nhdsWithin_Iio_inv {a : H} : Tendsto Inv.inv (𝓝[<] a⁻¹) (𝓝[>] a) := by
simpa only [inv_inv] using @tendsto_inv_nhdsWithin_Iio _ _ _ _ a⁻¹
#align tendsto_inv_nhds_within_Iio_inv tendsto_inv_nhdsWithin_Iio_inv
#align tendsto_neg_nhds_within_Iio_neg tendsto_neg_nhdsWithin_Iio_neg
@[to_additive]
theorem tendsto_inv_nhdsWithin_Ici {a : H} : Tendsto Inv.inv (𝓝[≥] a) (𝓝[≤] a⁻¹) :=
(continuous_inv.tendsto a).inf <| by simp [tendsto_principal_principal]
#align tendsto_inv_nhds_within_Ici tendsto_inv_nhdsWithin_Ici
#align tendsto_neg_nhds_within_Ici tendsto_neg_nhdsWithin_Ici
@[to_additive]
theorem tendsto_inv_nhdsWithin_Iic {a : H} : Tendsto Inv.inv (𝓝[≤] a) (𝓝[≥] a⁻¹) :=
(continuous_inv.tendsto a).inf <| by simp [tendsto_principal_principal]
#align tendsto_inv_nhds_within_Iic tendsto_inv_nhdsWithin_Iic
#align tendsto_neg_nhds_within_Iic tendsto_neg_nhdsWithin_Iic
@[to_additive]
theorem tendsto_inv_nhdsWithin_Ici_inv {a : H} : Tendsto Inv.inv (𝓝[≥] a⁻¹) (𝓝[≤] a) := by
simpa only [inv_inv] using @tendsto_inv_nhdsWithin_Ici _ _ _ _ a⁻¹
#align tendsto_inv_nhds_within_Ici_inv tendsto_inv_nhdsWithin_Ici_inv
#align tendsto_neg_nhds_within_Ici_neg tendsto_neg_nhdsWithin_Ici_neg
@[to_additive]
theorem tendsto_inv_nhdsWithin_Iic_inv {a : H} : Tendsto Inv.inv (𝓝[≤] a⁻¹) (𝓝[≥] a) := by
simpa only [inv_inv] using @tendsto_inv_nhdsWithin_Iic _ _ _ _ a⁻¹
#align tendsto_inv_nhds_within_Iic_inv tendsto_inv_nhdsWithin_Iic_inv
#align tendsto_neg_nhds_within_Iic_neg tendsto_neg_nhdsWithin_Iic_neg
end OrderedCommGroup
@[to_additive]
instance [TopologicalSpace H] [Group H] [TopologicalGroup H] : TopologicalGroup (G × H) where
continuous_inv := continuous_inv.prod_map continuous_inv
@[to_additive]
instance Pi.topologicalGroup {C : β → Type*} [∀ b, TopologicalSpace (C b)] [∀ b, Group (C b)]
[∀ b, TopologicalGroup (C b)] : TopologicalGroup (∀ b, C b) where
continuous_inv := continuous_pi fun i => (continuous_apply i).inv
#align pi.topological_group Pi.topologicalGroup
#align pi.topological_add_group Pi.topologicalAddGroup
open MulOpposite
@[to_additive]
instance [Inv α] [ContinuousInv α] : ContinuousInv αᵐᵒᵖ :=
opHomeomorph.symm.inducing.continuousInv unop_inv
/-- If multiplication is continuous in `α`, then it also is in `αᵐᵒᵖ`. -/
@[to_additive "If addition is continuous in `α`, then it also is in `αᵃᵒᵖ`."]
instance [Group α] [TopologicalGroup α] : TopologicalGroup αᵐᵒᵖ where
variable (G)
@[to_additive]
theorem nhds_one_symm : comap Inv.inv (𝓝 (1 : G)) = 𝓝 (1 : G) :=
((Homeomorph.inv G).comap_nhds_eq _).trans (congr_arg nhds inv_one)
#align nhds_one_symm nhds_one_symm
#align nhds_zero_symm nhds_zero_symm
@[to_additive]
theorem nhds_one_symm' : map Inv.inv (𝓝 (1 : G)) = 𝓝 (1 : G) :=
((Homeomorph.inv G).map_nhds_eq _).trans (congr_arg nhds inv_one)
#align nhds_one_symm' nhds_one_symm'
#align nhds_zero_symm' nhds_zero_symm'
@[to_additive]
theorem inv_mem_nhds_one {S : Set G} (hS : S ∈ (𝓝 1 : Filter G)) : S⁻¹ ∈ 𝓝 (1 : G) := by
rwa [← nhds_one_symm'] at hS
#align inv_mem_nhds_one inv_mem_nhds_one
#align neg_mem_nhds_zero neg_mem_nhds_zero
/-- The map `(x, y) ↦ (x, x * y)` as a homeomorphism. This is a shear mapping. -/
@[to_additive "The map `(x, y) ↦ (x, x + y)` as a homeomorphism. This is a shear mapping."]
protected def Homeomorph.shearMulRight : G × G ≃ₜ G × G :=
{ Equiv.prodShear (Equiv.refl _) Equiv.mulLeft with
continuous_toFun := continuous_fst.prod_mk continuous_mul
continuous_invFun := continuous_fst.prod_mk <| continuous_fst.inv.mul continuous_snd }
#align homeomorph.shear_mul_right Homeomorph.shearMulRight
#align homeomorph.shear_add_right Homeomorph.shearAddRight
@[to_additive (attr := simp)]
theorem Homeomorph.shearMulRight_coe :
⇑(Homeomorph.shearMulRight G) = fun z : G × G => (z.1, z.1 * z.2) :=
rfl
#align homeomorph.shear_mul_right_coe Homeomorph.shearMulRight_coe
#align homeomorph.shear_add_right_coe Homeomorph.shearAddRight_coe
@[to_additive (attr := simp)]
theorem Homeomorph.shearMulRight_symm_coe :
⇑(Homeomorph.shearMulRight G).symm = fun z : G × G => (z.1, z.1⁻¹ * z.2) :=
rfl
#align homeomorph.shear_mul_right_symm_coe Homeomorph.shearMulRight_symm_coe
#align homeomorph.shear_add_right_symm_coe Homeomorph.shearAddRight_symm_coe
variable {G}
@[to_additive]
protected theorem Inducing.topologicalGroup {F : Type*} [Group H] [TopologicalSpace H]
[FunLike F H G] [MonoidHomClass F H G] (f : F) (hf : Inducing f) : TopologicalGroup H :=
{ toContinuousMul := hf.continuousMul _
toContinuousInv := hf.continuousInv (map_inv f) }
#align inducing.topological_group Inducing.topologicalGroup
#align inducing.topological_add_group Inducing.topologicalAddGroup
@[to_additive]
-- Porting note: removed `protected` (needs to be in namespace)
theorem topologicalGroup_induced {F : Type*} [Group H] [FunLike F H G] [MonoidHomClass F H G]
(f : F) :
@TopologicalGroup H (induced f ‹_›) _ :=
letI := induced f ‹_›
Inducing.topologicalGroup f ⟨rfl⟩
#align topological_group_induced topologicalGroup_induced
#align topological_add_group_induced topologicalAddGroup_induced
namespace Subgroup
@[to_additive]
instance (S : Subgroup G) : TopologicalGroup S :=
Inducing.topologicalGroup S.subtype inducing_subtype_val
end Subgroup
/-- The (topological-space) closure of a subgroup of a topological group is
itself a subgroup. -/
@[to_additive
"The (topological-space) closure of an additive subgroup of an additive topological group is
itself an additive subgroup."]
def Subgroup.topologicalClosure (s : Subgroup G) : Subgroup G :=
{ s.toSubmonoid.topologicalClosure with
carrier := _root_.closure (s : Set G)
inv_mem' := fun {g} hg => by simpa only [← Set.mem_inv, inv_closure, inv_coe_set] using hg }
#align subgroup.topological_closure Subgroup.topologicalClosure
#align add_subgroup.topological_closure AddSubgroup.topologicalClosure
@[to_additive (attr := simp)]
theorem Subgroup.topologicalClosure_coe {s : Subgroup G} :
(s.topologicalClosure : Set G) = _root_.closure s :=
rfl
#align subgroup.topological_closure_coe Subgroup.topologicalClosure_coe
#align add_subgroup.topological_closure_coe AddSubgroup.topologicalClosure_coe
@[to_additive]
theorem Subgroup.le_topologicalClosure (s : Subgroup G) : s ≤ s.topologicalClosure :=
_root_.subset_closure
#align subgroup.le_topological_closure Subgroup.le_topologicalClosure
#align add_subgroup.le_topological_closure AddSubgroup.le_topologicalClosure
@[to_additive]
theorem Subgroup.isClosed_topologicalClosure (s : Subgroup G) :
IsClosed (s.topologicalClosure : Set G) := isClosed_closure
#align subgroup.is_closed_topological_closure Subgroup.isClosed_topologicalClosure
#align add_subgroup.is_closed_topological_closure AddSubgroup.isClosed_topologicalClosure
@[to_additive]
theorem Subgroup.topologicalClosure_minimal (s : Subgroup G) {t : Subgroup G} (h : s ≤ t)
(ht : IsClosed (t : Set G)) : s.topologicalClosure ≤ t :=
closure_minimal h ht
#align subgroup.topological_closure_minimal Subgroup.topologicalClosure_minimal
#align add_subgroup.topological_closure_minimal AddSubgroup.topologicalClosure_minimal
@[to_additive]
theorem DenseRange.topologicalClosure_map_subgroup [Group H] [TopologicalSpace H]
[TopologicalGroup H] {f : G →* H} (hf : Continuous f) (hf' : DenseRange f) {s : Subgroup G}
(hs : s.topologicalClosure = ⊤) : (s.map f).topologicalClosure = ⊤ := by
rw [SetLike.ext'_iff] at hs ⊢
simp only [Subgroup.topologicalClosure_coe, Subgroup.coe_top, ← dense_iff_closure_eq] at hs ⊢
exact hf'.dense_image hf hs
#align dense_range.topological_closure_map_subgroup DenseRange.topologicalClosure_map_subgroup
#align dense_range.topological_closure_map_add_subgroup DenseRange.topologicalClosure_map_addSubgroup
/-- The topological closure of a normal subgroup is normal. -/
@[to_additive "The topological closure of a normal additive subgroup is normal."]
theorem Subgroup.is_normal_topologicalClosure {G : Type*} [TopologicalSpace G] [Group G]
[TopologicalGroup G] (N : Subgroup G) [N.Normal] : (Subgroup.topologicalClosure N).Normal where
conj_mem n hn g := by
apply map_mem_closure (TopologicalGroup.continuous_conj g) hn
exact fun m hm => Subgroup.Normal.conj_mem inferInstance m hm g
#align subgroup.is_normal_topological_closure Subgroup.is_normal_topologicalClosure
#align add_subgroup.is_normal_topological_closure AddSubgroup.is_normal_topologicalClosure
@[to_additive]
theorem mul_mem_connectedComponent_one {G : Type*} [TopologicalSpace G] [MulOneClass G]
[ContinuousMul G] {g h : G} (hg : g ∈ connectedComponent (1 : G))
(hh : h ∈ connectedComponent (1 : G)) : g * h ∈ connectedComponent (1 : G) := by
rw [connectedComponent_eq hg]
have hmul : g ∈ connectedComponent (g * h) := by
apply Continuous.image_connectedComponent_subset (continuous_mul_left g)
rw [← connectedComponent_eq hh]
exact ⟨(1 : G), mem_connectedComponent, by simp only [mul_one]⟩
simpa [← connectedComponent_eq hmul] using mem_connectedComponent
#align mul_mem_connected_component_one mul_mem_connectedComponent_one
#align add_mem_connected_component_zero add_mem_connectedComponent_zero
@[to_additive]
theorem inv_mem_connectedComponent_one {G : Type*} [TopologicalSpace G] [Group G]
[TopologicalGroup G] {g : G} (hg : g ∈ connectedComponent (1 : G)) :
g⁻¹ ∈ connectedComponent (1 : G) := by
rw [← inv_one]
exact
Continuous.image_connectedComponent_subset continuous_inv _
((Set.mem_image _ _ _).mp ⟨g, hg, rfl⟩)
#align inv_mem_connected_component_one inv_mem_connectedComponent_one
#align neg_mem_connected_component_zero neg_mem_connectedComponent_zero
/-- The connected component of 1 is a subgroup of `G`. -/
@[to_additive "The connected component of 0 is a subgroup of `G`."]
def Subgroup.connectedComponentOfOne (G : Type*) [TopologicalSpace G] [Group G]
[TopologicalGroup G] : Subgroup G where
carrier := connectedComponent (1 : G)
one_mem' := mem_connectedComponent
mul_mem' hg hh := mul_mem_connectedComponent_one hg hh
inv_mem' hg := inv_mem_connectedComponent_one hg
#align subgroup.connected_component_of_one Subgroup.connectedComponentOfOne
#align add_subgroup.connected_component_of_zero AddSubgroup.connectedComponentOfZero
/-- If a subgroup of a topological group is commutative, then so is its topological closure. -/
@[to_additive
"If a subgroup of an additive topological group is commutative, then so is its
topological closure."]
def Subgroup.commGroupTopologicalClosure [T2Space G] (s : Subgroup G)
(hs : ∀ x y : s, x * y = y * x) : CommGroup s.topologicalClosure :=
{ s.topologicalClosure.toGroup, s.toSubmonoid.commMonoidTopologicalClosure hs with }
#align subgroup.comm_group_topological_closure Subgroup.commGroupTopologicalClosure
#align add_subgroup.add_comm_group_topological_closure AddSubgroup.addCommGroupTopologicalClosure
variable (G) in
@[to_additive]
lemma Subgroup.coe_topologicalClosure_bot :
((⊥ : Subgroup G).topologicalClosure : Set G) = _root_.closure ({1} : Set G) := by simp
@[to_additive exists_nhds_half_neg]
theorem exists_nhds_split_inv {s : Set G} (hs : s ∈ 𝓝 (1 : G)) :
∃ V ∈ 𝓝 (1 : G), ∀ v ∈ V, ∀ w ∈ V, v / w ∈ s := by
have : (fun p : G × G => p.1 * p.2⁻¹) ⁻¹' s ∈ 𝓝 ((1, 1) : G × G) :=
continuousAt_fst.mul continuousAt_snd.inv (by simpa)
simpa only [div_eq_mul_inv, nhds_prod_eq, mem_prod_self_iff, prod_subset_iff, mem_preimage] using
this
#align exists_nhds_split_inv exists_nhds_split_inv
#align exists_nhds_half_neg exists_nhds_half_neg
@[to_additive]
theorem nhds_translation_mul_inv (x : G) : comap (· * x⁻¹) (𝓝 1) = 𝓝 x :=
((Homeomorph.mulRight x⁻¹).comap_nhds_eq 1).trans <| show 𝓝 (1 * x⁻¹⁻¹) = 𝓝 x by simp
#align nhds_translation_mul_inv nhds_translation_mul_inv
#align nhds_translation_add_neg nhds_translation_add_neg
@[to_additive (attr := simp)]
theorem map_mul_left_nhds (x y : G) : map (x * ·) (𝓝 y) = 𝓝 (x * y) :=
(Homeomorph.mulLeft x).map_nhds_eq y
#align map_mul_left_nhds map_mul_left_nhds
#align map_add_left_nhds map_add_left_nhds
@[to_additive]
theorem map_mul_left_nhds_one (x : G) : map (x * ·) (𝓝 1) = 𝓝 x := by simp
#align map_mul_left_nhds_one map_mul_left_nhds_one
#align map_add_left_nhds_zero map_add_left_nhds_zero
@[to_additive (attr := simp)]
theorem map_mul_right_nhds (x y : G) : map (· * x) (𝓝 y) = 𝓝 (y * x) :=
(Homeomorph.mulRight x).map_nhds_eq y
#align map_mul_right_nhds map_mul_right_nhds
#align map_add_right_nhds map_add_right_nhds
@[to_additive]
theorem map_mul_right_nhds_one (x : G) : map (· * x) (𝓝 1) = 𝓝 x := by simp
#align map_mul_right_nhds_one map_mul_right_nhds_one
#align map_add_right_nhds_zero map_add_right_nhds_zero
@[to_additive]
theorem Filter.HasBasis.nhds_of_one {ι : Sort*} {p : ι → Prop} {s : ι → Set G}
(hb : HasBasis (𝓝 1 : Filter G) p s) (x : G) :
HasBasis (𝓝 x) p fun i => { y | y / x ∈ s i } := by
rw [← nhds_translation_mul_inv]
simp_rw [div_eq_mul_inv]
exact hb.comap _
#align filter.has_basis.nhds_of_one Filter.HasBasis.nhds_of_one
#align filter.has_basis.nhds_of_zero Filter.HasBasis.nhds_of_zero
@[to_additive]
theorem mem_closure_iff_nhds_one {x : G} {s : Set G} :
x ∈ closure s ↔ ∀ U ∈ (𝓝 1 : Filter G), ∃ y ∈ s, y / x ∈ U := by
rw [mem_closure_iff_nhds_basis ((𝓝 1 : Filter G).basis_sets.nhds_of_one x)]
simp_rw [Set.mem_setOf, id]
#align mem_closure_iff_nhds_one mem_closure_iff_nhds_one
#align mem_closure_iff_nhds_zero mem_closure_iff_nhds_zero
/-- A monoid homomorphism (a bundled morphism of a type that implements `MonoidHomClass`) from a
topological group to a topological monoid is continuous provided that it is continuous at one. See
also `uniformContinuous_of_continuousAt_one`. -/
@[to_additive
"An additive monoid homomorphism (a bundled morphism of a type that implements
`AddMonoidHomClass`) from an additive topological group to an additive topological monoid is
continuous provided that it is continuous at zero. See also
`uniformContinuous_of_continuousAt_zero`."]
theorem continuous_of_continuousAt_one {M hom : Type*} [MulOneClass M] [TopologicalSpace M]
[ContinuousMul M] [FunLike hom G M] [MonoidHomClass hom G M] (f : hom)
(hf : ContinuousAt f 1) :
Continuous f :=
continuous_iff_continuousAt.2 fun x => by
simpa only [ContinuousAt, ← map_mul_left_nhds_one x, tendsto_map'_iff, (· ∘ ·), map_mul,
map_one, mul_one] using hf.tendsto.const_mul (f x)
#align continuous_of_continuous_at_one continuous_of_continuousAt_one
#align continuous_of_continuous_at_zero continuous_of_continuousAt_zero
-- Porting note (#10756): new theorem
@[to_additive continuous_of_continuousAt_zero₂]
theorem continuous_of_continuousAt_one₂ {H M : Type*} [CommMonoid M] [TopologicalSpace M]
[ContinuousMul M] [Group H] [TopologicalSpace H] [TopologicalGroup H] (f : G →* H →* M)
(hf : ContinuousAt (fun x : G × H ↦ f x.1 x.2) (1, 1))
(hl : ∀ x, ContinuousAt (f x) 1) (hr : ∀ y, ContinuousAt (f · y) 1) :
Continuous (fun x : G × H ↦ f x.1 x.2) := continuous_iff_continuousAt.2 fun (x, y) => by
simp only [ContinuousAt, nhds_prod_eq, ← map_mul_left_nhds_one x, ← map_mul_left_nhds_one y,
prod_map_map_eq, tendsto_map'_iff, (· ∘ ·), map_mul, MonoidHom.mul_apply] at *
refine ((tendsto_const_nhds.mul ((hr y).comp tendsto_fst)).mul
(((hl x).comp tendsto_snd).mul hf)).mono_right (le_of_eq ?_)
simp only [map_one, mul_one, MonoidHom.one_apply]
@[to_additive]
theorem TopologicalGroup.ext {G : Type*} [Group G] {t t' : TopologicalSpace G}
(tg : @TopologicalGroup G t _) (tg' : @TopologicalGroup G t' _)
(h : @nhds G t 1 = @nhds G t' 1) : t = t' :=
TopologicalSpace.ext_nhds fun x ↦ by
rw [← @nhds_translation_mul_inv G t _ _ x, ← @nhds_translation_mul_inv G t' _ _ x, ← h]
#align topological_group.ext TopologicalGroup.ext
#align topological_add_group.ext TopologicalAddGroup.ext
@[to_additive]
theorem TopologicalGroup.ext_iff {G : Type*} [Group G] {t t' : TopologicalSpace G}
(tg : @TopologicalGroup G t _) (tg' : @TopologicalGroup G t' _) :
t = t' ↔ @nhds G t 1 = @nhds G t' 1 :=
⟨fun h => h ▸ rfl, tg.ext tg'⟩
#align topological_group.ext_iff TopologicalGroup.ext_iff
#align topological_add_group.ext_iff TopologicalAddGroup.ext_iff
@[to_additive]
| Mathlib/Topology/Algebra/Group/Basic.lean | 941 | 949 | theorem ContinuousInv.of_nhds_one {G : Type*} [Group G] [TopologicalSpace G]
(hinv : Tendsto (fun x : G => x⁻¹) (𝓝 1) (𝓝 1))
(hleft : ∀ x₀ : G, 𝓝 x₀ = map (fun x : G => x₀ * x) (𝓝 1))
(hconj : ∀ x₀ : G, Tendsto (fun x : G => x₀ * x * x₀⁻¹) (𝓝 1) (𝓝 1)) : ContinuousInv G := by |
refine ⟨continuous_iff_continuousAt.2 fun x₀ => ?_⟩
have : Tendsto (fun x => x₀⁻¹ * (x₀ * x⁻¹ * x₀⁻¹)) (𝓝 1) (map (x₀⁻¹ * ·) (𝓝 1)) :=
(tendsto_map.comp <| hconj x₀).comp hinv
simpa only [ContinuousAt, hleft x₀, hleft x₀⁻¹, tendsto_map'_iff, (· ∘ ·), mul_assoc, mul_inv_rev,
inv_mul_cancel_left] using this
|
/-
Copyright (c) 2020 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel, Scott Morrison
-/
import Mathlib.CategoryTheory.Limits.Shapes.Kernels
#align_import category_theory.abelian.images from "leanprover-community/mathlib"@"9e7c80f638149bfb3504ba8ff48dfdbfc949fb1a"
/-!
# The abelian image and coimage.
In an abelian category we usually want the image of a morphism `f` to be defined as
`kernel (cokernel.π f)`, and the coimage to be defined as `cokernel (kernel.ι f)`.
We make these definitions here, as `Abelian.image f` and `Abelian.coimage f`
(without assuming the category is actually abelian),
and later relate these to the usual categorical notions when in an abelian category.
There is a canonical morphism `coimageImageComparison : Abelian.coimage f ⟶ Abelian.image f`.
Later we show that this is always an isomorphism in an abelian category,
and conversely a category with (co)kernels and finite products in which this morphism
is always an isomorphism is an abelian category.
-/
noncomputable section
universe v u
open CategoryTheory
open CategoryTheory.Limits
namespace CategoryTheory.Abelian
variable {C : Type u} [Category.{v} C] [HasZeroMorphisms C] [HasKernels C] [HasCokernels C]
variable {P Q : C} (f : P ⟶ Q)
section Image
/-- The kernel of the cokernel of `f` is called the (abelian) image of `f`. -/
protected abbrev image : C :=
kernel (cokernel.π f)
#align category_theory.abelian.image CategoryTheory.Abelian.image
/-- The inclusion of the image into the codomain. -/
protected abbrev image.ι : Abelian.image f ⟶ Q :=
kernel.ι (cokernel.π f)
#align category_theory.abelian.image.ι CategoryTheory.Abelian.image.ι
/-- There is a canonical epimorphism `p : P ⟶ image f` for every `f`. -/
protected abbrev factorThruImage : P ⟶ Abelian.image f :=
kernel.lift (cokernel.π f) f <| cokernel.condition f
#align category_theory.abelian.factor_thru_image CategoryTheory.Abelian.factorThruImage
-- Porting note (#10618): simp can prove this and reassoc version, removed tags
/-- `f` factors through its image via the canonical morphism `p`. -/
protected theorem image.fac : Abelian.factorThruImage f ≫ image.ι f = f :=
kernel.lift_ι _ _ _
#align category_theory.abelian.image.fac CategoryTheory.Abelian.image.fac
instance mono_factorThruImage [Mono f] : Mono (Abelian.factorThruImage f) :=
mono_of_mono_fac <| image.fac f
#align category_theory.abelian.mono_factor_thru_image CategoryTheory.Abelian.mono_factorThruImage
end Image
section Coimage
/-- The cokernel of the kernel of `f` is called the (abelian) coimage of `f`. -/
protected abbrev coimage : C :=
cokernel (kernel.ι f)
#align category_theory.abelian.coimage CategoryTheory.Abelian.coimage
/-- The projection onto the coimage. -/
protected abbrev coimage.π : P ⟶ Abelian.coimage f :=
cokernel.π (kernel.ι f)
#align category_theory.abelian.coimage.π CategoryTheory.Abelian.coimage.π
/-- There is a canonical monomorphism `i : coimage f ⟶ Q`. -/
protected abbrev factorThruCoimage : Abelian.coimage f ⟶ Q :=
cokernel.desc (kernel.ι f) f <| kernel.condition f
#align category_theory.abelian.factor_thru_coimage CategoryTheory.Abelian.factorThruCoimage
/-- `f` factors through its coimage via the canonical morphism `p`. -/
protected theorem coimage.fac : coimage.π f ≫ Abelian.factorThruCoimage f = f :=
cokernel.π_desc _ _ _
#align category_theory.abelian.coimage.fac CategoryTheory.Abelian.coimage.fac
instance epi_factorThruCoimage [Epi f] : Epi (Abelian.factorThruCoimage f) :=
epi_of_epi_fac <| coimage.fac f
#align category_theory.abelian.epi_factor_thru_coimage CategoryTheory.Abelian.epi_factorThruCoimage
end Coimage
/-- The canonical map from the abelian coimage to the abelian image.
In any abelian category this is an isomorphism.
Conversely, any additive category with kernels and cokernels and
in which this is always an isomorphism, is abelian.
See <https://stacks.math.columbia.edu/tag/0107>
-/
def coimageImageComparison : Abelian.coimage f ⟶ Abelian.image f :=
cokernel.desc (kernel.ι f) (kernel.lift (cokernel.π f) f (by simp)) (by ext; simp)
#align category_theory.abelian.coimage_image_comparison CategoryTheory.Abelian.coimageImageComparison
/-- An alternative formulation of the canonical map from the abelian coimage to the abelian image.
-/
def coimageImageComparison' : Abelian.coimage f ⟶ Abelian.image f :=
kernel.lift (cokernel.π f) (cokernel.desc (kernel.ι f) f (by simp)) (by ext; simp)
#align category_theory.abelian.coimage_image_comparison' CategoryTheory.Abelian.coimageImageComparison'
| Mathlib/CategoryTheory/Abelian/Images.lean | 115 | 118 | theorem coimageImageComparison_eq_coimageImageComparison' :
coimageImageComparison f = coimageImageComparison' f := by |
ext
simp [coimageImageComparison, coimageImageComparison']
|
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Data.Matrix.Basis
import Mathlib.Data.Matrix.DMatrix
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Matrix.Reindex
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.matrix.transvection from "leanprover-community/mathlib"@"0e2aab2b0d521f060f62a14d2cf2e2c54e8491d6"
/-!
# Transvections
Transvections are matrices of the form `1 + StdBasisMatrix i j c`, where `StdBasisMatrix i j c`
is the basic matrix with a `c` at position `(i, j)`. Multiplying by such a transvection on the left
(resp. on the right) amounts to adding `c` times the `j`-th row to the `i`-th row
(resp `c` times the `i`-th column to the `j`-th column). Therefore, they are useful to present
algorithms operating on rows and columns.
Transvections are a special case of *elementary matrices* (according to most references, these also
contain the matrices exchanging rows, and the matrices multiplying a row by a constant).
We show that, over a field, any matrix can be written as `L * D * L'`, where `L` and `L'` are
products of transvections and `D` is diagonal. In other words, one can reduce a matrix to diagonal
form by operations on its rows and columns, a variant of Gauss' pivot algorithm.
## Main definitions and results
* `Transvection i j c` is the matrix equal to `1 + StdBasisMatrix i j c`.
* `TransvectionStruct n R` is a structure containing the data of `i, j, c` and a proof that
`i ≠ j`. These are often easier to manipulate than straight matrices, especially in inductive
arguments.
* `exists_list_transvec_mul_diagonal_mul_list_transvec` states that any matrix `M` over a field can
be written in the form `t_1 * ... * t_k * D * t'_1 * ... * t'_l`, where `D` is diagonal and
the `t_i`, `t'_j` are transvections.
* `diagonal_transvection_induction` shows that a property which is true for diagonal matrices and
transvections, and invariant under product, is true for all matrices.
* `diagonal_transvection_induction_of_det_ne_zero` is the same statement over invertible matrices.
## Implementation details
The proof of the reduction results is done inductively on the size of the matrices, reducing an
`(r + 1) × (r + 1)` matrix to a matrix whose last row and column are zeroes, except possibly for
the last diagonal entry. This step is done as follows.
If all the coefficients on the last row and column are zero, there is nothing to do. Otherwise,
one can put a nonzero coefficient in the last diagonal entry by a row or column operation, and then
subtract this last diagonal entry from the other entries in the last row and column to make them
vanish.
This step is done in the type `Fin r ⊕ Unit`, where `Fin r` is useful to choose arbitrarily some
order in which we cancel the coefficients, and the sum structure is useful to use the formalism of
block matrices.
To proceed with the induction, we reindex our matrices to reduce to the above situation.
-/
universe u₁ u₂
namespace Matrix
open Matrix
variable (n p : Type*) (R : Type u₂) {𝕜 : Type*} [Field 𝕜]
variable [DecidableEq n] [DecidableEq p]
variable [CommRing R]
section Transvection
variable {R n} (i j : n)
/-- The transvection matrix `Transvection i j c` is equal to the identity plus `c` at position
`(i, j)`. Multiplying by it on the left (as in `Transvection i j c * M`) corresponds to adding
`c` times the `j`-th line of `M` to its `i`-th line. Multiplying by it on the right corresponds
to adding `c` times the `i`-th column to the `j`-th column. -/
def transvection (c : R) : Matrix n n R :=
1 + Matrix.stdBasisMatrix i j c
#align matrix.transvection Matrix.transvection
@[simp]
theorem transvection_zero : transvection i j (0 : R) = 1 := by simp [transvection]
#align matrix.transvection_zero Matrix.transvection_zero
section
/-- A transvection matrix is obtained from the identity by adding `c` times the `j`-th row to
the `i`-th row. -/
theorem updateRow_eq_transvection [Finite n] (c : R) :
updateRow (1 : Matrix n n R) i ((1 : Matrix n n R) i + c • (1 : Matrix n n R) j) =
transvection i j c := by
cases nonempty_fintype n
ext a b
by_cases ha : i = a
· by_cases hb : j = b
· simp only [updateRow_self, transvection, ha, hb, Pi.add_apply, StdBasisMatrix.apply_same,
one_apply_eq, Pi.smul_apply, mul_one, Algebra.id.smul_eq_mul, add_apply]
· simp only [updateRow_self, transvection, ha, hb, StdBasisMatrix.apply_of_ne, Pi.add_apply,
Ne, not_false_iff, Pi.smul_apply, and_false_iff, one_apply_ne, Algebra.id.smul_eq_mul,
mul_zero, add_apply]
· simp only [updateRow_ne, transvection, ha, Ne.symm ha, StdBasisMatrix.apply_of_ne, add_zero,
Algebra.id.smul_eq_mul, Ne, not_false_iff, DMatrix.add_apply, Pi.smul_apply,
mul_zero, false_and_iff, add_apply]
#align matrix.update_row_eq_transvection Matrix.updateRow_eq_transvection
variable [Fintype n]
theorem transvection_mul_transvection_same (h : i ≠ j) (c d : R) :
transvection i j c * transvection i j d = transvection i j (c + d) := by
simp [transvection, Matrix.add_mul, Matrix.mul_add, h, h.symm, add_smul, add_assoc,
stdBasisMatrix_add]
#align matrix.transvection_mul_transvection_same Matrix.transvection_mul_transvection_same
@[simp]
theorem transvection_mul_apply_same (b : n) (c : R) (M : Matrix n n R) :
(transvection i j c * M) i b = M i b + c * M j b := by simp [transvection, Matrix.add_mul]
#align matrix.transvection_mul_apply_same Matrix.transvection_mul_apply_same
@[simp]
theorem mul_transvection_apply_same (a : n) (c : R) (M : Matrix n n R) :
(M * transvection i j c) a j = M a j + c * M a i := by
simp [transvection, Matrix.mul_add, mul_comm]
#align matrix.mul_transvection_apply_same Matrix.mul_transvection_apply_same
@[simp]
theorem transvection_mul_apply_of_ne (a b : n) (ha : a ≠ i) (c : R) (M : Matrix n n R) :
(transvection i j c * M) a b = M a b := by simp [transvection, Matrix.add_mul, ha]
#align matrix.transvection_mul_apply_of_ne Matrix.transvection_mul_apply_of_ne
@[simp]
theorem mul_transvection_apply_of_ne (a b : n) (hb : b ≠ j) (c : R) (M : Matrix n n R) :
(M * transvection i j c) a b = M a b := by simp [transvection, Matrix.mul_add, hb]
#align matrix.mul_transvection_apply_of_ne Matrix.mul_transvection_apply_of_ne
@[simp]
theorem det_transvection_of_ne (h : i ≠ j) (c : R) : det (transvection i j c) = 1 := by
rw [← updateRow_eq_transvection i j, det_updateRow_add_smul_self _ h, det_one]
#align matrix.det_transvection_of_ne Matrix.det_transvection_of_ne
end
variable (R n)
/-- A structure containing all the information from which one can build a nontrivial transvection.
This structure is easier to manipulate than transvections as one has a direct access to all the
relevant fields. -/
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure TransvectionStruct where
(i j : n)
hij : i ≠ j
c : R
#align matrix.transvection_struct Matrix.TransvectionStruct
instance [Nontrivial n] : Nonempty (TransvectionStruct n R) := by
choose x y hxy using exists_pair_ne n
exact ⟨⟨x, y, hxy, 0⟩⟩
namespace TransvectionStruct
variable {R n}
/-- Associating to a `transvection_struct` the corresponding transvection matrix. -/
def toMatrix (t : TransvectionStruct n R) : Matrix n n R :=
transvection t.i t.j t.c
#align matrix.transvection_struct.to_matrix Matrix.TransvectionStruct.toMatrix
@[simp]
theorem toMatrix_mk (i j : n) (hij : i ≠ j) (c : R) :
TransvectionStruct.toMatrix ⟨i, j, hij, c⟩ = transvection i j c :=
rfl
#align matrix.transvection_struct.to_matrix_mk Matrix.TransvectionStruct.toMatrix_mk
@[simp]
protected theorem det [Fintype n] (t : TransvectionStruct n R) : det t.toMatrix = 1 :=
det_transvection_of_ne _ _ t.hij _
#align matrix.transvection_struct.det Matrix.TransvectionStruct.det
@[simp]
theorem det_toMatrix_prod [Fintype n] (L : List (TransvectionStruct n 𝕜)) :
det (L.map toMatrix).prod = 1 := by
induction' L with t L IH
· simp
· simp [IH]
#align matrix.transvection_struct.det_to_matrix_prod Matrix.TransvectionStruct.det_toMatrix_prod
/-- The inverse of a `TransvectionStruct`, designed so that `t.inv.toMatrix` is the inverse of
`t.toMatrix`. -/
@[simps]
protected def inv (t : TransvectionStruct n R) : TransvectionStruct n R where
i := t.i
j := t.j
hij := t.hij
c := -t.c
#align matrix.transvection_struct.inv Matrix.TransvectionStruct.inv
section
variable [Fintype n]
theorem inv_mul (t : TransvectionStruct n R) : t.inv.toMatrix * t.toMatrix = 1 := by
rcases t with ⟨_, _, t_hij⟩
simp [toMatrix, transvection_mul_transvection_same, t_hij]
#align matrix.transvection_struct.inv_mul Matrix.TransvectionStruct.inv_mul
theorem mul_inv (t : TransvectionStruct n R) : t.toMatrix * t.inv.toMatrix = 1 := by
rcases t with ⟨_, _, t_hij⟩
simp [toMatrix, transvection_mul_transvection_same, t_hij]
#align matrix.transvection_struct.mul_inv Matrix.TransvectionStruct.mul_inv
theorem reverse_inv_prod_mul_prod (L : List (TransvectionStruct n R)) :
(L.reverse.map (toMatrix ∘ TransvectionStruct.inv)).prod * (L.map toMatrix).prod = 1 := by
induction' L with t L IH
· simp
· suffices
(L.reverse.map (toMatrix ∘ TransvectionStruct.inv)).prod * (t.inv.toMatrix * t.toMatrix) *
(L.map toMatrix).prod = 1
by simpa [Matrix.mul_assoc]
simpa [inv_mul] using IH
#align matrix.transvection_struct.reverse_inv_prod_mul_prod Matrix.TransvectionStruct.reverse_inv_prod_mul_prod
theorem prod_mul_reverse_inv_prod (L : List (TransvectionStruct n R)) :
(L.map toMatrix).prod * (L.reverse.map (toMatrix ∘ TransvectionStruct.inv)).prod = 1 := by
induction' L with t L IH
· simp
· suffices
t.toMatrix *
((L.map toMatrix).prod * (L.reverse.map (toMatrix ∘ TransvectionStruct.inv)).prod) *
t.inv.toMatrix = 1
by simpa [Matrix.mul_assoc]
simp_rw [IH, Matrix.mul_one, t.mul_inv]
#align matrix.transvection_struct.prod_mul_reverse_inv_prod Matrix.TransvectionStruct.prod_mul_reverse_inv_prod
/-- `M` is a scalar matrix if it commutes with every nontrivial transvection (elementary matrix). -/
theorem _root_.Matrix.mem_range_scalar_of_commute_transvectionStruct {M : Matrix n n R}
(hM : ∀ t : TransvectionStruct n R, Commute t.toMatrix M) :
M ∈ Set.range (Matrix.scalar n) := by
refine mem_range_scalar_of_commute_stdBasisMatrix ?_
intro i j hij
simpa [transvection, mul_add, add_mul] using (hM ⟨i, j, hij, 1⟩).eq
theorem _root_.Matrix.mem_range_scalar_iff_commute_transvectionStruct {M : Matrix n n R} :
M ∈ Set.range (Matrix.scalar n) ↔ ∀ t : TransvectionStruct n R, Commute t.toMatrix M := by
refine ⟨fun h t => ?_, mem_range_scalar_of_commute_transvectionStruct⟩
rw [mem_range_scalar_iff_commute_stdBasisMatrix] at h
refine (Commute.one_left M).add_left ?_
convert (h _ _ t.hij).smul_left t.c using 1
rw [smul_stdBasisMatrix, smul_eq_mul, mul_one]
end
open Sum
/-- Given a `TransvectionStruct` on `n`, define the corresponding `TransvectionStruct` on `n ⊕ p`
using the identity on `p`. -/
def sumInl (t : TransvectionStruct n R) : TransvectionStruct (Sum n p) R where
i := inl t.i
j := inl t.j
hij := by simp [t.hij]
c := t.c
#align matrix.transvection_struct.sum_inl Matrix.TransvectionStruct.sumInl
theorem toMatrix_sumInl (t : TransvectionStruct n R) :
(t.sumInl p).toMatrix = fromBlocks t.toMatrix 0 0 1 := by
cases t
ext a b
cases' a with a a <;> cases' b with b b
· by_cases h : a = b <;> simp [TransvectionStruct.sumInl, transvection, h, stdBasisMatrix]
· simp [TransvectionStruct.sumInl, transvection]
· simp [TransvectionStruct.sumInl, transvection]
· by_cases h : a = b <;> simp [TransvectionStruct.sumInl, transvection, h]
#align matrix.transvection_struct.to_matrix_sum_inl Matrix.TransvectionStruct.toMatrix_sumInl
@[simp]
theorem sumInl_toMatrix_prod_mul [Fintype n] [Fintype p] (M : Matrix n n R)
(L : List (TransvectionStruct n R)) (N : Matrix p p R) :
(L.map (toMatrix ∘ sumInl p)).prod * fromBlocks M 0 0 N =
fromBlocks ((L.map toMatrix).prod * M) 0 0 N := by
induction' L with t L IH
· simp
· simp [Matrix.mul_assoc, IH, toMatrix_sumInl, fromBlocks_multiply]
#align matrix.transvection_struct.sum_inl_to_matrix_prod_mul Matrix.TransvectionStruct.sumInl_toMatrix_prod_mul
@[simp]
| Mathlib/LinearAlgebra/Matrix/Transvection.lean | 289 | 295 | theorem mul_sumInl_toMatrix_prod [Fintype n] [Fintype p] (M : Matrix n n R)
(L : List (TransvectionStruct n R)) (N : Matrix p p R) :
fromBlocks M 0 0 N * (L.map (toMatrix ∘ sumInl p)).prod =
fromBlocks (M * (L.map toMatrix).prod) 0 0 N := by |
induction' L with t L IH generalizing M N
· simp
· simp [IH, toMatrix_sumInl, fromBlocks_multiply]
|
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Michael Stoll
-/
import Mathlib.Data.Nat.Squarefree
import Mathlib.NumberTheory.Zsqrtd.QuadraticReciprocity
import Mathlib.Tactic.LinearCombination
#align_import number_theory.sum_two_squares from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9"
/-!
# Sums of two squares
Fermat's theorem on the sum of two squares. Every prime `p` congruent to 1 mod 4 is the
sum of two squares; see `Nat.Prime.sq_add_sq` (which has the weaker assumption `p % 4 ≠ 3`).
We also give the result that characterizes the (positive) natural numbers that are sums
of two squares as those numbers `n` such that for every prime `q` congruent to 3 mod 4, the
exponent of the largest power of `q` dividing `n` is even; see `Nat.eq_sq_add_sq_iff`.
There is an alternative characterization as the numbers of the form `a^2 * b`, where `b` is a
natural number such that `-1` is a square modulo `b`; see `Nat.eq_sq_add_sq_iff_eq_sq_mul`.
-/
section Fermat
open GaussianInt
/-- **Fermat's theorem on the sum of two squares**. Every prime not congruent to 3 mod 4 is the sum
of two squares. Also known as **Fermat's Christmas theorem**. -/
theorem Nat.Prime.sq_add_sq {p : ℕ} [Fact p.Prime] (hp : p % 4 ≠ 3) :
∃ a b : ℕ, a ^ 2 + b ^ 2 = p := by
apply sq_add_sq_of_nat_prime_of_not_irreducible p
rwa [_root_.irreducible_iff_prime, prime_iff_mod_four_eq_three_of_nat_prime p]
#align nat.prime.sq_add_sq Nat.Prime.sq_add_sq
end Fermat
/-!
### Generalities on sums of two squares
-/
section General
/-- The set of sums of two squares is closed under multiplication in any commutative ring.
See also `sq_add_sq_mul_sq_add_sq`. -/
theorem sq_add_sq_mul {R} [CommRing R] {a b x y u v : R} (ha : a = x ^ 2 + y ^ 2)
(hb : b = u ^ 2 + v ^ 2) : ∃ r s : R, a * b = r ^ 2 + s ^ 2 :=
⟨x * u - y * v, x * v + y * u, by rw [ha, hb]; ring⟩
#align sq_add_sq_mul sq_add_sq_mul
/-- The set of natural numbers that are sums of two squares is closed under multiplication. -/
theorem Nat.sq_add_sq_mul {a b x y u v : ℕ} (ha : a = x ^ 2 + y ^ 2) (hb : b = u ^ 2 + v ^ 2) :
∃ r s : ℕ, a * b = r ^ 2 + s ^ 2 := by
zify at ha hb ⊢
obtain ⟨r, s, h⟩ := _root_.sq_add_sq_mul ha hb
refine ⟨r.natAbs, s.natAbs, ?_⟩
simpa only [Int.natCast_natAbs, sq_abs]
#align nat.sq_add_sq_mul Nat.sq_add_sq_mul
end General
/-!
### Results on when -1 is a square modulo a natural number
-/
section NegOneSquare
-- This could be formulated for a general integer `a` in place of `-1`,
-- but it would not directly specialize to `-1`,
-- because `((-1 : ℤ) : ZMod n)` is not the same as `(-1 : ZMod n)`.
/-- If `-1` is a square modulo `n` and `m` divides `n`, then `-1` is also a square modulo `m`. -/
theorem ZMod.isSquare_neg_one_of_dvd {m n : ℕ} (hd : m ∣ n) (hs : IsSquare (-1 : ZMod n)) :
IsSquare (-1 : ZMod m) := by
let f : ZMod n →+* ZMod m := ZMod.castHom hd _
rw [← RingHom.map_one f, ← RingHom.map_neg]
exact hs.map f
#align zmod.is_square_neg_one_of_dvd ZMod.isSquare_neg_one_of_dvd
/-- If `-1` is a square modulo coprime natural numbers `m` and `n`, then `-1` is also
a square modulo `m*n`. -/
theorem ZMod.isSquare_neg_one_mul {m n : ℕ} (hc : m.Coprime n) (hm : IsSquare (-1 : ZMod m))
(hn : IsSquare (-1 : ZMod n)) : IsSquare (-1 : ZMod (m * n)) := by
have : IsSquare (-1 : ZMod m × ZMod n) := by
rw [show (-1 : ZMod m × ZMod n) = ((-1 : ZMod m), (-1 : ZMod n)) from rfl]
obtain ⟨x, hx⟩ := hm
obtain ⟨y, hy⟩ := hn
rw [hx, hy]
exact ⟨(x, y), rfl⟩
simpa only [RingEquiv.map_neg_one] using this.map (ZMod.chineseRemainder hc).symm
#align zmod.is_square_neg_one_mul ZMod.isSquare_neg_one_mul
/-- If a prime `p` divides `n` such that `-1` is a square modulo `n`, then `p % 4 ≠ 3`. -/
theorem Nat.Prime.mod_four_ne_three_of_dvd_isSquare_neg_one {p n : ℕ} (hpp : p.Prime) (hp : p ∣ n)
(hs : IsSquare (-1 : ZMod n)) : p % 4 ≠ 3 := by
obtain ⟨y, h⟩ := ZMod.isSquare_neg_one_of_dvd hp hs
rw [← sq, eq_comm, show (-1 : ZMod p) = -1 ^ 2 by ring] at h
haveI : Fact p.Prime := ⟨hpp⟩
exact ZMod.mod_four_ne_three_of_sq_eq_neg_sq' one_ne_zero h
#align nat.prime.mod_four_ne_three_of_dvd_is_square_neg_one Nat.Prime.mod_four_ne_three_of_dvd_isSquare_neg_one
/-- If `n` is a squarefree natural number, then `-1` is a square modulo `n` if and only if
`n` is not divisible by a prime `q` such that `q % 4 = 3`. -/
| Mathlib/NumberTheory/SumTwoSquares.lean | 108 | 120 | theorem ZMod.isSquare_neg_one_iff {n : ℕ} (hn : Squarefree n) :
IsSquare (-1 : ZMod n) ↔ ∀ {q : ℕ}, q.Prime → q ∣ n → q % 4 ≠ 3 := by |
refine ⟨fun H q hqp hqd => hqp.mod_four_ne_three_of_dvd_isSquare_neg_one hqd H, fun H => ?_⟩
induction' n using induction_on_primes with p n hpp ih
· exact False.elim (hn.ne_zero rfl)
· exact ⟨0, by simp only [mul_zero, eq_iff_true_of_subsingleton]⟩
· haveI : Fact p.Prime := ⟨hpp⟩
have hcp : p.Coprime n := by
by_contra hc
exact hpp.not_unit (hn p <| mul_dvd_mul_left p <| hpp.dvd_iff_not_coprime.mpr hc)
have hp₁ := ZMod.exists_sq_eq_neg_one_iff.mpr (H hpp (dvd_mul_right p n))
exact ZMod.isSquare_neg_one_mul hcp hp₁
(ih hn.of_mul_right fun hqp hqd => H hqp <| dvd_mul_of_dvd_right hqd _)
|
/-
Copyright (c) 2022 Xavier Roblot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Xavier Roblot
-/
import Mathlib.Algebra.Module.Zlattice.Basic
import Mathlib.NumberTheory.NumberField.Embeddings
import Mathlib.NumberTheory.NumberField.FractionalIdeal
#align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30"
/-!
# Canonical embedding of a number field
The canonical embedding of a number field `K` of degree `n` is the ring homomorphism
`K →+* ℂ^n` that sends `x ∈ K` to `(φ_₁(x),...,φ_n(x))` where the `φ_i`'s are the complex
embeddings of `K`. Note that we do not choose an ordering of the embeddings, but instead map `K`
into the type `(K →+* ℂ) → ℂ` of `ℂ`-vectors indexed by the complex embeddings.
## Main definitions and results
* `NumberField.canonicalEmbedding`: the ring homomorphism `K →+* ((K →+* ℂ) → ℂ)` defined by
sending `x : K` to the vector `(φ x)` indexed by `φ : K →+* ℂ`.
* `NumberField.canonicalEmbedding.integerLattice.inter_ball_finite`: the intersection of the
image of the ring of integers by the canonical embedding and any ball centered at `0` of finite
radius is finite.
* `NumberField.mixedEmbedding`: the ring homomorphism from `K →+* ({ w // IsReal w } → ℝ) ×
({ w // IsComplex w } → ℂ)` that sends `x ∈ K` to `(φ_w x)_w` where `φ_w` is the embedding
associated to the infinite place `w`. In particular, if `w` is real then `φ_w : K →+* ℝ` and, if
`w` is complex, `φ_w` is an arbitrary choice between the two complex embeddings defining the place
`w`.
## Tags
number field, infinite places
-/
variable (K : Type*) [Field K]
namespace NumberField.canonicalEmbedding
open NumberField
/-- The canonical embedding of a number field `K` of degree `n` into `ℂ^n`. -/
def _root_.NumberField.canonicalEmbedding : K →+* ((K →+* ℂ) → ℂ) := Pi.ringHom fun φ => φ
theorem _root_.NumberField.canonicalEmbedding_injective [NumberField K] :
Function.Injective (NumberField.canonicalEmbedding K) := RingHom.injective _
variable {K}
@[simp]
theorem apply_at (φ : K →+* ℂ) (x : K) : (NumberField.canonicalEmbedding K x) φ = φ x := rfl
open scoped ComplexConjugate
/-- The image of `canonicalEmbedding` lives in the `ℝ`-submodule of the `x ∈ ((K →+* ℂ) → ℂ)` such
that `conj x_φ = x_(conj φ)` for all `∀ φ : K →+* ℂ`. -/
theorem conj_apply {x : ((K →+* ℂ) → ℂ)} (φ : K →+* ℂ)
(hx : x ∈ Submodule.span ℝ (Set.range (canonicalEmbedding K))) :
conj (x φ) = x (ComplexEmbedding.conjugate φ) := by
refine Submodule.span_induction hx ?_ ?_ (fun _ _ hx hy => ?_) (fun a _ hx => ?_)
· rintro _ ⟨x, rfl⟩
rw [apply_at, apply_at, ComplexEmbedding.conjugate_coe_eq]
· rw [Pi.zero_apply, Pi.zero_apply, map_zero]
· rw [Pi.add_apply, Pi.add_apply, map_add, hx, hy]
· rw [Pi.smul_apply, Complex.real_smul, map_mul, Complex.conj_ofReal]
exact congrArg ((a : ℂ) * ·) hx
theorem nnnorm_eq [NumberField K] (x : K) :
‖canonicalEmbedding K x‖₊ = Finset.univ.sup (fun φ : K →+* ℂ => ‖φ x‖₊) := by
simp_rw [Pi.nnnorm_def, apply_at]
theorem norm_le_iff [NumberField K] (x : K) (r : ℝ) :
‖canonicalEmbedding K x‖ ≤ r ↔ ∀ φ : K →+* ℂ, ‖φ x‖ ≤ r := by
obtain hr | hr := lt_or_le r 0
· obtain ⟨φ⟩ := (inferInstance : Nonempty (K →+* ℂ))
refine iff_of_false ?_ ?_
· exact (hr.trans_le (norm_nonneg _)).not_le
· exact fun h => hr.not_le (le_trans (norm_nonneg _) (h φ))
· lift r to NNReal using hr
simp_rw [← coe_nnnorm, nnnorm_eq, NNReal.coe_le_coe, Finset.sup_le_iff, Finset.mem_univ,
forall_true_left]
variable (K)
/-- The image of `𝓞 K` as a subring of `ℂ^n`. -/
def integerLattice : Subring ((K →+* ℂ) → ℂ) :=
(RingHom.range (algebraMap (𝓞 K) K)).map (canonicalEmbedding K)
theorem integerLattice.inter_ball_finite [NumberField K] (r : ℝ) :
((integerLattice K : Set ((K →+* ℂ) → ℂ)) ∩ Metric.closedBall 0 r).Finite := by
obtain hr | _ := lt_or_le r 0
· simp [Metric.closedBall_eq_empty.2 hr]
· have heq : ∀ x, canonicalEmbedding K x ∈ Metric.closedBall 0 r ↔
∀ φ : K →+* ℂ, ‖φ x‖ ≤ r := by
intro x; rw [← norm_le_iff, mem_closedBall_zero_iff]
convert (Embeddings.finite_of_norm_le K ℂ r).image (canonicalEmbedding K)
ext; constructor
· rintro ⟨⟨_, ⟨x, rfl⟩, rfl⟩, hx⟩
exact ⟨x, ⟨SetLike.coe_mem x, fun φ => (heq _).mp hx φ⟩, rfl⟩
· rintro ⟨x, ⟨hx1, hx2⟩, rfl⟩
exact ⟨⟨x, ⟨⟨x, hx1⟩, rfl⟩, rfl⟩, (heq x).mpr hx2⟩
open Module Fintype FiniteDimensional
/-- A `ℂ`-basis of `ℂ^n` that is also a `ℤ`-basis of the `integerLattice`. -/
noncomputable def latticeBasis [NumberField K] :
Basis (Free.ChooseBasisIndex ℤ (𝓞 K)) ℂ ((K →+* ℂ) → ℂ) := by
classical
-- Let `B` be the canonical basis of `(K →+* ℂ) → ℂ`. We prove that the determinant of
-- the image by `canonicalEmbedding` of the integral basis of `K` is nonzero. This
-- will imply the result.
let B := Pi.basisFun ℂ (K →+* ℂ)
let e : (K →+* ℂ) ≃ Free.ChooseBasisIndex ℤ (𝓞 K) :=
equivOfCardEq ((Embeddings.card K ℂ).trans (finrank_eq_card_basis (integralBasis K)))
let M := B.toMatrix (fun i => canonicalEmbedding K (integralBasis K (e i)))
suffices M.det ≠ 0 by
rw [← isUnit_iff_ne_zero, ← Basis.det_apply, ← is_basis_iff_det] at this
refine basisOfLinearIndependentOfCardEqFinrank
((linearIndependent_equiv e.symm).mpr this.1) ?_
rw [← finrank_eq_card_chooseBasisIndex, RingOfIntegers.rank, finrank_fintype_fun_eq_card,
Embeddings.card]
-- In order to prove that the determinant is nonzero, we show that it is equal to the
-- square of the discriminant of the integral basis and thus it is not zero
let N := Algebra.embeddingsMatrixReindex ℚ ℂ (fun i => integralBasis K (e i))
RingHom.equivRatAlgHom
rw [show M = N.transpose by { ext:2; rfl }]
rw [Matrix.det_transpose, ← pow_ne_zero_iff two_ne_zero]
convert (map_ne_zero_iff _ (algebraMap ℚ ℂ).injective).mpr
(Algebra.discr_not_zero_of_basis ℚ (integralBasis K))
rw [← Algebra.discr_reindex ℚ (integralBasis K) e.symm]
exact (Algebra.discr_eq_det_embeddingsMatrixReindex_pow_two ℚ ℂ
(fun i => integralBasis K (e i)) RingHom.equivRatAlgHom).symm
@[simp]
theorem latticeBasis_apply [NumberField K] (i : Free.ChooseBasisIndex ℤ (𝓞 K)) :
latticeBasis K i = (canonicalEmbedding K) (integralBasis K i) := by
simp only [latticeBasis, integralBasis_apply, coe_basisOfLinearIndependentOfCardEqFinrank,
Function.comp_apply, Equiv.apply_symm_apply]
theorem mem_span_latticeBasis [NumberField K] (x : (K →+* ℂ) → ℂ) :
x ∈ Submodule.span ℤ (Set.range (latticeBasis K)) ↔
x ∈ ((canonicalEmbedding K).comp (algebraMap (𝓞 K) K)).range := by
rw [show Set.range (latticeBasis K) =
(canonicalEmbedding K).toIntAlgHom.toLinearMap '' (Set.range (integralBasis K)) by
rw [← Set.range_comp]; exact congrArg Set.range (funext (fun i => latticeBasis_apply K i))]
rw [← Submodule.map_span, ← SetLike.mem_coe, Submodule.map_coe]
rw [← RingHom.map_range, Subring.mem_map, Set.mem_image]
simp only [SetLike.mem_coe, mem_span_integralBasis K]
rfl
end NumberField.canonicalEmbedding
namespace NumberField.mixedEmbedding
open NumberField NumberField.InfinitePlace FiniteDimensional Finset
/-- The space `ℝ^r₁ × ℂ^r₂` with `(r₁, r₂)` the signature of `K`. -/
local notation "E" K =>
({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ)
/-- The mixed embedding of a number field `K` of signature `(r₁, r₂)` into `ℝ^r₁ × ℂ^r₂`. -/
noncomputable def _root_.NumberField.mixedEmbedding : K →+* (E K) :=
RingHom.prod (Pi.ringHom fun w => embedding_of_isReal w.prop)
(Pi.ringHom fun w => w.val.embedding)
instance [NumberField K] : Nontrivial (E K) := by
obtain ⟨w⟩ := (inferInstance : Nonempty (InfinitePlace K))
obtain hw | hw := w.isReal_or_isComplex
· have : Nonempty {w : InfinitePlace K // IsReal w} := ⟨⟨w, hw⟩⟩
exact nontrivial_prod_left
· have : Nonempty {w : InfinitePlace K // IsComplex w} := ⟨⟨w, hw⟩⟩
exact nontrivial_prod_right
protected theorem finrank [NumberField K] : finrank ℝ (E K) = finrank ℚ K := by
classical
rw [finrank_prod, finrank_pi, finrank_pi_fintype, Complex.finrank_real_complex, sum_const,
card_univ, ← NrRealPlaces, ← NrComplexPlaces, ← card_real_embeddings, Algebra.id.smul_eq_mul,
mul_comm, ← card_complex_embeddings, ← NumberField.Embeddings.card K ℂ,
Fintype.card_subtype_compl, Nat.add_sub_of_le (Fintype.card_subtype_le _)]
theorem _root_.NumberField.mixedEmbedding_injective [NumberField K] :
Function.Injective (NumberField.mixedEmbedding K) := by
exact RingHom.injective _
section commMap
/-- The linear map that makes `canonicalEmbedding` and `mixedEmbedding` commute, see
`commMap_canonical_eq_mixed`. -/
noncomputable def commMap : ((K →+* ℂ) → ℂ) →ₗ[ℝ] (E K) where
toFun := fun x => ⟨fun w => (x w.val.embedding).re, fun w => x w.val.embedding⟩
map_add' := by
simp only [Pi.add_apply, Complex.add_re, Prod.mk_add_mk, Prod.mk.injEq]
exact fun _ _ => ⟨rfl, rfl⟩
map_smul' := by
simp only [Pi.smul_apply, Complex.real_smul, Complex.mul_re, Complex.ofReal_re,
Complex.ofReal_im, zero_mul, sub_zero, RingHom.id_apply, Prod.smul_mk, Prod.mk.injEq]
exact fun _ _ => ⟨rfl, rfl⟩
theorem commMap_apply_of_isReal (x : (K →+* ℂ) → ℂ) {w : InfinitePlace K} (hw : IsReal w) :
(commMap K x).1 ⟨w, hw⟩ = (x w.embedding).re := rfl
theorem commMap_apply_of_isComplex (x : (K →+* ℂ) → ℂ) {w : InfinitePlace K} (hw : IsComplex w) :
(commMap K x).2 ⟨w, hw⟩ = x w.embedding := rfl
@[simp]
theorem commMap_canonical_eq_mixed (x : K) :
commMap K (canonicalEmbedding K x) = mixedEmbedding K x := by
simp only [canonicalEmbedding, commMap, LinearMap.coe_mk, AddHom.coe_mk, Pi.ringHom_apply,
mixedEmbedding, RingHom.prod_apply, Prod.mk.injEq]
exact ⟨rfl, rfl⟩
/-- This is a technical result to ensure that the image of the `ℂ`-basis of `ℂ^n` defined in
`canonicalEmbedding.latticeBasis` is a `ℝ`-basis of `ℝ^r₁ × ℂ^r₂`,
see `mixedEmbedding.latticeBasis`. -/
theorem disjoint_span_commMap_ker [NumberField K] :
Disjoint (Submodule.span ℝ (Set.range (canonicalEmbedding.latticeBasis K)))
(LinearMap.ker (commMap K)) := by
refine LinearMap.disjoint_ker.mpr (fun x h_mem h_zero => ?_)
replace h_mem : x ∈ Submodule.span ℝ (Set.range (canonicalEmbedding K)) := by
refine (Submodule.span_mono ?_) h_mem
rintro _ ⟨i, rfl⟩
exact ⟨integralBasis K i, (canonicalEmbedding.latticeBasis_apply K i).symm⟩
ext1 φ
rw [Pi.zero_apply]
by_cases hφ : ComplexEmbedding.IsReal φ
· apply Complex.ext
· rw [← embedding_mk_eq_of_isReal hφ, ← commMap_apply_of_isReal K x ⟨φ, hφ, rfl⟩]
exact congrFun (congrArg (fun x => x.1) h_zero) ⟨InfinitePlace.mk φ, _⟩
· rw [Complex.zero_im, ← Complex.conj_eq_iff_im, canonicalEmbedding.conj_apply _ h_mem,
ComplexEmbedding.isReal_iff.mp hφ]
· have := congrFun (congrArg (fun x => x.2) h_zero) ⟨InfinitePlace.mk φ, ⟨φ, hφ, rfl⟩⟩
cases embedding_mk_eq φ with
| inl h => rwa [← h, ← commMap_apply_of_isComplex K x ⟨φ, hφ, rfl⟩]
| inr h =>
apply RingHom.injective (starRingEnd ℂ)
rwa [canonicalEmbedding.conj_apply _ h_mem, ← h, map_zero,
← commMap_apply_of_isComplex K x ⟨φ, hφ, rfl⟩]
end commMap
noncomputable section norm
open scoped Classical
variable {K}
/-- The norm at the infinite place `w` of an element of
`({w // IsReal w} → ℝ) × ({ w // IsComplex w } → ℂ)`. -/
def normAtPlace (w : InfinitePlace K) : (E K) →*₀ ℝ where
toFun x := if hw : IsReal w then ‖x.1 ⟨w, hw⟩‖ else ‖x.2 ⟨w, not_isReal_iff_isComplex.mp hw⟩‖
map_zero' := by simp
map_one' := by simp
map_mul' x y := by split_ifs <;> simp
theorem normAtPlace_nonneg (w : InfinitePlace K) (x : E K) :
0 ≤ normAtPlace w x := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs <;> exact norm_nonneg _
theorem normAtPlace_neg (w : InfinitePlace K) (x : E K) :
normAtPlace w (- x) = normAtPlace w x := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs <;> simp
theorem normAtPlace_add_le (w : InfinitePlace K) (x y : E K) :
normAtPlace w (x + y) ≤ normAtPlace w x + normAtPlace w y := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs <;> exact norm_add_le _ _
theorem normAtPlace_smul (w : InfinitePlace K) (x : E K) (c : ℝ) :
normAtPlace w (c • x) = |c| * normAtPlace w x := by
rw [normAtPlace, MonoidWithZeroHom.coe_mk, ZeroHom.coe_mk]
split_ifs
· rw [Prod.smul_fst, Pi.smul_apply, norm_smul, Real.norm_eq_abs]
· rw [Prod.smul_snd, Pi.smul_apply, norm_smul, Real.norm_eq_abs, Complex.norm_eq_abs]
| Mathlib/NumberTheory/NumberField/CanonicalEmbedding/Basic.lean | 281 | 284 | theorem normAtPlace_real (w : InfinitePlace K) (c : ℝ) :
normAtPlace w ((fun _ ↦ c, fun _ ↦ c) : (E K)) = |c| := by |
rw [show ((fun _ ↦ c, fun _ ↦ c) : (E K)) = c • 1 by ext <;> simp, normAtPlace_smul, map_one,
mul_one]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Buzzard, Yury Kudryashov, Eric Wieser
-/
import Mathlib.Algebra.Algebra.Prod
import Mathlib.LinearAlgebra.Basic
import Mathlib.LinearAlgebra.Span
import Mathlib.Order.PartialSups
#align_import linear_algebra.prod from "leanprover-community/mathlib"@"cd391184c85986113f8c00844cfe6dda1d34be3d"
/-! ### Products of modules
This file defines constructors for linear maps whose domains or codomains are products.
It contains theorems relating these to each other, as well as to `Submodule.prod`, `Submodule.map`,
`Submodule.comap`, `LinearMap.range`, and `LinearMap.ker`.
## Main definitions
- products in the domain:
- `LinearMap.fst`
- `LinearMap.snd`
- `LinearMap.coprod`
- `LinearMap.prod_ext`
- products in the codomain:
- `LinearMap.inl`
- `LinearMap.inr`
- `LinearMap.prod`
- products in both domain and codomain:
- `LinearMap.prodMap`
- `LinearEquiv.prodMap`
- `LinearEquiv.skewProd`
-/
universe u v w x y z u' v' w' y'
variable {R : Type u} {K : Type u'} {M : Type v} {V : Type v'} {M₂ : Type w} {V₂ : Type w'}
variable {M₃ : Type y} {V₃ : Type y'} {M₄ : Type z} {ι : Type x}
variable {M₅ M₆ : Type*}
section Prod
namespace LinearMap
variable (S : Type*) [Semiring R] [Semiring S]
variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommMonoid M₄]
variable [AddCommMonoid M₅] [AddCommMonoid M₆]
variable [Module R M] [Module R M₂] [Module R M₃] [Module R M₄]
variable [Module R M₅] [Module R M₆]
variable (f : M →ₗ[R] M₂)
section
variable (R M M₂)
/-- The first projection of a product is a linear map. -/
def fst : M × M₂ →ₗ[R] M where
toFun := Prod.fst
map_add' _x _y := rfl
map_smul' _x _y := rfl
#align linear_map.fst LinearMap.fst
/-- The second projection of a product is a linear map. -/
def snd : M × M₂ →ₗ[R] M₂ where
toFun := Prod.snd
map_add' _x _y := rfl
map_smul' _x _y := rfl
#align linear_map.snd LinearMap.snd
end
@[simp]
theorem fst_apply (x : M × M₂) : fst R M M₂ x = x.1 :=
rfl
#align linear_map.fst_apply LinearMap.fst_apply
@[simp]
theorem snd_apply (x : M × M₂) : snd R M M₂ x = x.2 :=
rfl
#align linear_map.snd_apply LinearMap.snd_apply
theorem fst_surjective : Function.Surjective (fst R M M₂) := fun x => ⟨(x, 0), rfl⟩
#align linear_map.fst_surjective LinearMap.fst_surjective
theorem snd_surjective : Function.Surjective (snd R M M₂) := fun x => ⟨(0, x), rfl⟩
#align linear_map.snd_surjective LinearMap.snd_surjective
/-- The prod of two linear maps is a linear map. -/
@[simps]
def prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : M →ₗ[R] M₂ × M₃ where
toFun := Pi.prod f g
map_add' x y := by simp only [Pi.prod, Prod.mk_add_mk, map_add]
map_smul' c x := by simp only [Pi.prod, Prod.smul_mk, map_smul, RingHom.id_apply]
#align linear_map.prod LinearMap.prod
theorem coe_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : ⇑(f.prod g) = Pi.prod f g :=
rfl
#align linear_map.coe_prod LinearMap.coe_prod
@[simp]
theorem fst_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : (fst R M₂ M₃).comp (prod f g) = f := rfl
#align linear_map.fst_prod LinearMap.fst_prod
@[simp]
theorem snd_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : (snd R M₂ M₃).comp (prod f g) = g := rfl
#align linear_map.snd_prod LinearMap.snd_prod
@[simp]
theorem pair_fst_snd : prod (fst R M M₂) (snd R M M₂) = LinearMap.id := rfl
#align linear_map.pair_fst_snd LinearMap.pair_fst_snd
theorem prod_comp (f : M₂ →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄)
(h : M →ₗ[R] M₂) : (f.prod g).comp h = (f.comp h).prod (g.comp h) :=
rfl
/-- Taking the product of two maps with the same domain is equivalent to taking the product of
their codomains.
See note [bundled maps over different rings] for why separate `R` and `S` semirings are used. -/
@[simps]
def prodEquiv [Module S M₂] [Module S M₃] [SMulCommClass R S M₂] [SMulCommClass R S M₃] :
((M →ₗ[R] M₂) × (M →ₗ[R] M₃)) ≃ₗ[S] M →ₗ[R] M₂ × M₃ where
toFun f := f.1.prod f.2
invFun f := ((fst _ _ _).comp f, (snd _ _ _).comp f)
left_inv f := by ext <;> rfl
right_inv f := by ext <;> rfl
map_add' a b := rfl
map_smul' r a := rfl
#align linear_map.prod_equiv LinearMap.prodEquiv
section
variable (R M M₂)
/-- The left injection into a product is a linear map. -/
def inl : M →ₗ[R] M × M₂ :=
prod LinearMap.id 0
#align linear_map.inl LinearMap.inl
/-- The right injection into a product is a linear map. -/
def inr : M₂ →ₗ[R] M × M₂ :=
prod 0 LinearMap.id
#align linear_map.inr LinearMap.inr
theorem range_inl : range (inl R M M₂) = ker (snd R M M₂) := by
ext x
simp only [mem_ker, mem_range]
constructor
· rintro ⟨y, rfl⟩
rfl
· intro h
exact ⟨x.fst, Prod.ext rfl h.symm⟩
#align linear_map.range_inl LinearMap.range_inl
theorem ker_snd : ker (snd R M M₂) = range (inl R M M₂) :=
Eq.symm <| range_inl R M M₂
#align linear_map.ker_snd LinearMap.ker_snd
theorem range_inr : range (inr R M M₂) = ker (fst R M M₂) := by
ext x
simp only [mem_ker, mem_range]
constructor
· rintro ⟨y, rfl⟩
rfl
· intro h
exact ⟨x.snd, Prod.ext h.symm rfl⟩
#align linear_map.range_inr LinearMap.range_inr
theorem ker_fst : ker (fst R M M₂) = range (inr R M M₂) :=
Eq.symm <| range_inr R M M₂
#align linear_map.ker_fst LinearMap.ker_fst
@[simp] theorem fst_comp_inl : fst R M M₂ ∘ₗ inl R M M₂ = id := rfl
@[simp] theorem snd_comp_inl : snd R M M₂ ∘ₗ inl R M M₂ = 0 := rfl
@[simp] theorem fst_comp_inr : fst R M M₂ ∘ₗ inr R M M₂ = 0 := rfl
@[simp] theorem snd_comp_inr : snd R M M₂ ∘ₗ inr R M M₂ = id := rfl
end
@[simp]
theorem coe_inl : (inl R M M₂ : M → M × M₂) = fun x => (x, 0) :=
rfl
#align linear_map.coe_inl LinearMap.coe_inl
theorem inl_apply (x : M) : inl R M M₂ x = (x, 0) :=
rfl
#align linear_map.inl_apply LinearMap.inl_apply
@[simp]
theorem coe_inr : (inr R M M₂ : M₂ → M × M₂) = Prod.mk 0 :=
rfl
#align linear_map.coe_inr LinearMap.coe_inr
theorem inr_apply (x : M₂) : inr R M M₂ x = (0, x) :=
rfl
#align linear_map.inr_apply LinearMap.inr_apply
theorem inl_eq_prod : inl R M M₂ = prod LinearMap.id 0 :=
rfl
#align linear_map.inl_eq_prod LinearMap.inl_eq_prod
theorem inr_eq_prod : inr R M M₂ = prod 0 LinearMap.id :=
rfl
#align linear_map.inr_eq_prod LinearMap.inr_eq_prod
theorem inl_injective : Function.Injective (inl R M M₂) := fun _ => by simp
#align linear_map.inl_injective LinearMap.inl_injective
theorem inr_injective : Function.Injective (inr R M M₂) := fun _ => by simp
#align linear_map.inr_injective LinearMap.inr_injective
/-- The coprod function `x : M × M₂ ↦ f x.1 + g x.2` is a linear map. -/
def coprod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : M × M₂ →ₗ[R] M₃ :=
f.comp (fst _ _ _) + g.comp (snd _ _ _)
#align linear_map.coprod LinearMap.coprod
@[simp]
theorem coprod_apply (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) (x : M × M₂) :
coprod f g x = f x.1 + g x.2 :=
rfl
#align linear_map.coprod_apply LinearMap.coprod_apply
@[simp]
theorem coprod_inl (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : (coprod f g).comp (inl R M M₂) = f := by
ext; simp only [map_zero, add_zero, coprod_apply, inl_apply, comp_apply]
#align linear_map.coprod_inl LinearMap.coprod_inl
@[simp]
theorem coprod_inr (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : (coprod f g).comp (inr R M M₂) = g := by
ext; simp only [map_zero, coprod_apply, inr_apply, zero_add, comp_apply]
#align linear_map.coprod_inr LinearMap.coprod_inr
@[simp]
theorem coprod_inl_inr : coprod (inl R M M₂) (inr R M M₂) = LinearMap.id := by
ext <;>
simp only [Prod.mk_add_mk, add_zero, id_apply, coprod_apply, inl_apply, inr_apply, zero_add]
#align linear_map.coprod_inl_inr LinearMap.coprod_inl_inr
theorem coprod_zero_left (g : M₂ →ₗ[R] M₃) : (0 : M →ₗ[R] M₃).coprod g = g.comp (snd R M M₂) :=
zero_add _
theorem coprod_zero_right (f : M →ₗ[R] M₃) : f.coprod (0 : M₂ →ₗ[R] M₃) = f.comp (fst R M M₂) :=
add_zero _
theorem comp_coprod (f : M₃ →ₗ[R] M₄) (g₁ : M →ₗ[R] M₃) (g₂ : M₂ →ₗ[R] M₃) :
f.comp (g₁.coprod g₂) = (f.comp g₁).coprod (f.comp g₂) :=
ext fun x => f.map_add (g₁ x.1) (g₂ x.2)
#align linear_map.comp_coprod LinearMap.comp_coprod
theorem fst_eq_coprod : fst R M M₂ = coprod LinearMap.id 0 := by ext; simp
#align linear_map.fst_eq_coprod LinearMap.fst_eq_coprod
theorem snd_eq_coprod : snd R M M₂ = coprod 0 LinearMap.id := by ext; simp
#align linear_map.snd_eq_coprod LinearMap.snd_eq_coprod
@[simp]
theorem coprod_comp_prod (f : M₂ →ₗ[R] M₄) (g : M₃ →ₗ[R] M₄) (f' : M →ₗ[R] M₂) (g' : M →ₗ[R] M₃) :
(f.coprod g).comp (f'.prod g') = f.comp f' + g.comp g' :=
rfl
#align linear_map.coprod_comp_prod LinearMap.coprod_comp_prod
@[simp]
theorem coprod_map_prod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) (S : Submodule R M)
(S' : Submodule R M₂) : (Submodule.prod S S').map (LinearMap.coprod f g) = S.map f ⊔ S'.map g :=
SetLike.coe_injective <| by
simp only [LinearMap.coprod_apply, Submodule.coe_sup, Submodule.map_coe]
rw [← Set.image2_add, Set.image2_image_left, Set.image2_image_right]
exact Set.image_prod fun m m₂ => f m + g m₂
#align linear_map.coprod_map_prod LinearMap.coprod_map_prod
/-- Taking the product of two maps with the same codomain is equivalent to taking the product of
their domains.
See note [bundled maps over different rings] for why separate `R` and `S` semirings are used. -/
@[simps]
def coprodEquiv [Module S M₃] [SMulCommClass R S M₃] :
((M →ₗ[R] M₃) × (M₂ →ₗ[R] M₃)) ≃ₗ[S] M × M₂ →ₗ[R] M₃ where
toFun f := f.1.coprod f.2
invFun f := (f.comp (inl _ _ _), f.comp (inr _ _ _))
left_inv f := by simp only [coprod_inl, coprod_inr]
right_inv f := by simp only [← comp_coprod, comp_id, coprod_inl_inr]
map_add' a b := by
ext
simp only [Prod.snd_add, add_apply, coprod_apply, Prod.fst_add, add_add_add_comm]
map_smul' r a := by
dsimp
ext
simp only [smul_add, smul_apply, Prod.smul_snd, Prod.smul_fst, coprod_apply]
#align linear_map.coprod_equiv LinearMap.coprodEquiv
theorem prod_ext_iff {f g : M × M₂ →ₗ[R] M₃} :
f = g ↔ f.comp (inl _ _ _) = g.comp (inl _ _ _) ∧ f.comp (inr _ _ _) = g.comp (inr _ _ _) :=
(coprodEquiv ℕ).symm.injective.eq_iff.symm.trans Prod.ext_iff
#align linear_map.prod_ext_iff LinearMap.prod_ext_iff
/--
Split equality of linear maps from a product into linear maps over each component, to allow `ext`
to apply lemmas specific to `M →ₗ M₃` and `M₂ →ₗ M₃`.
See note [partially-applied ext lemmas]. -/
@[ext 1100]
theorem prod_ext {f g : M × M₂ →ₗ[R] M₃} (hl : f.comp (inl _ _ _) = g.comp (inl _ _ _))
(hr : f.comp (inr _ _ _) = g.comp (inr _ _ _)) : f = g :=
prod_ext_iff.2 ⟨hl, hr⟩
#align linear_map.prod_ext LinearMap.prod_ext
/-- `prod.map` of two linear maps. -/
def prodMap (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) : M × M₂ →ₗ[R] M₃ × M₄ :=
(f.comp (fst R M M₂)).prod (g.comp (snd R M M₂))
#align linear_map.prod_map LinearMap.prodMap
theorem coe_prodMap (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) : ⇑(f.prodMap g) = Prod.map f g :=
rfl
#align linear_map.coe_prod_map LinearMap.coe_prodMap
@[simp]
theorem prodMap_apply (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) (x) : f.prodMap g x = (f x.1, g x.2) :=
rfl
#align linear_map.prod_map_apply LinearMap.prodMap_apply
theorem prodMap_comap_prod (f : M →ₗ[R] M₂) (g : M₃ →ₗ[R] M₄) (S : Submodule R M₂)
(S' : Submodule R M₄) :
(Submodule.prod S S').comap (LinearMap.prodMap f g) = (S.comap f).prod (S'.comap g) :=
SetLike.coe_injective <| Set.preimage_prod_map_prod f g _ _
#align linear_map.prod_map_comap_prod LinearMap.prodMap_comap_prod
theorem ker_prodMap (f : M →ₗ[R] M₂) (g : M₃ →ₗ[R] M₄) :
ker (LinearMap.prodMap f g) = Submodule.prod (ker f) (ker g) := by
dsimp only [ker]
rw [← prodMap_comap_prod, Submodule.prod_bot]
#align linear_map.ker_prod_map LinearMap.ker_prodMap
@[simp]
theorem prodMap_id : (id : M →ₗ[R] M).prodMap (id : M₂ →ₗ[R] M₂) = id :=
rfl
#align linear_map.prod_map_id LinearMap.prodMap_id
@[simp]
theorem prodMap_one : (1 : M →ₗ[R] M).prodMap (1 : M₂ →ₗ[R] M₂) = 1 :=
rfl
#align linear_map.prod_map_one LinearMap.prodMap_one
theorem prodMap_comp (f₁₂ : M →ₗ[R] M₂) (f₂₃ : M₂ →ₗ[R] M₃) (g₁₂ : M₄ →ₗ[R] M₅)
(g₂₃ : M₅ →ₗ[R] M₆) :
f₂₃.prodMap g₂₃ ∘ₗ f₁₂.prodMap g₁₂ = (f₂₃ ∘ₗ f₁₂).prodMap (g₂₃ ∘ₗ g₁₂) :=
rfl
#align linear_map.prod_map_comp LinearMap.prodMap_comp
theorem prodMap_mul (f₁₂ : M →ₗ[R] M) (f₂₃ : M →ₗ[R] M) (g₁₂ : M₂ →ₗ[R] M₂) (g₂₃ : M₂ →ₗ[R] M₂) :
f₂₃.prodMap g₂₃ * f₁₂.prodMap g₁₂ = (f₂₃ * f₁₂).prodMap (g₂₃ * g₁₂) :=
rfl
#align linear_map.prod_map_mul LinearMap.prodMap_mul
theorem prodMap_add (f₁ : M →ₗ[R] M₃) (f₂ : M →ₗ[R] M₃) (g₁ : M₂ →ₗ[R] M₄) (g₂ : M₂ →ₗ[R] M₄) :
(f₁ + f₂).prodMap (g₁ + g₂) = f₁.prodMap g₁ + f₂.prodMap g₂ :=
rfl
#align linear_map.prod_map_add LinearMap.prodMap_add
@[simp]
theorem prodMap_zero : (0 : M →ₗ[R] M₂).prodMap (0 : M₃ →ₗ[R] M₄) = 0 :=
rfl
#align linear_map.prod_map_zero LinearMap.prodMap_zero
@[simp]
theorem prodMap_smul [Module S M₃] [Module S M₄] [SMulCommClass R S M₃] [SMulCommClass R S M₄]
(s : S) (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₄) : prodMap (s • f) (s • g) = s • prodMap f g :=
rfl
#align linear_map.prod_map_smul LinearMap.prodMap_smul
variable (R M M₂ M₃ M₄)
/-- `LinearMap.prodMap` as a `LinearMap` -/
@[simps]
def prodMapLinear [Module S M₃] [Module S M₄] [SMulCommClass R S M₃] [SMulCommClass R S M₄] :
(M →ₗ[R] M₃) × (M₂ →ₗ[R] M₄) →ₗ[S] M × M₂ →ₗ[R] M₃ × M₄ where
toFun f := prodMap f.1 f.2
map_add' _ _ := rfl
map_smul' _ _ := rfl
#align linear_map.prod_map_linear LinearMap.prodMapLinear
/-- `LinearMap.prodMap` as a `RingHom` -/
@[simps]
def prodMapRingHom : (M →ₗ[R] M) × (M₂ →ₗ[R] M₂) →+* M × M₂ →ₗ[R] M × M₂ where
toFun f := prodMap f.1 f.2
map_one' := prodMap_one
map_zero' := rfl
map_add' _ _ := rfl
map_mul' _ _ := rfl
#align linear_map.prod_map_ring_hom LinearMap.prodMapRingHom
variable {R M M₂ M₃ M₄}
section map_mul
variable {A : Type*} [NonUnitalNonAssocSemiring A] [Module R A]
variable {B : Type*} [NonUnitalNonAssocSemiring B] [Module R B]
theorem inl_map_mul (a₁ a₂ : A) :
LinearMap.inl R A B (a₁ * a₂) = LinearMap.inl R A B a₁ * LinearMap.inl R A B a₂ :=
Prod.ext rfl (by simp)
#align linear_map.inl_map_mul LinearMap.inl_map_mul
theorem inr_map_mul (b₁ b₂ : B) :
LinearMap.inr R A B (b₁ * b₂) = LinearMap.inr R A B b₁ * LinearMap.inr R A B b₂ :=
Prod.ext (by simp) rfl
#align linear_map.inr_map_mul LinearMap.inr_map_mul
end map_mul
end LinearMap
end Prod
namespace LinearMap
variable (R M M₂)
variable [CommSemiring R]
variable [AddCommMonoid M] [AddCommMonoid M₂]
variable [Module R M] [Module R M₂]
/-- `LinearMap.prodMap` as an `AlgHom` -/
@[simps!]
def prodMapAlgHom : Module.End R M × Module.End R M₂ →ₐ[R] Module.End R (M × M₂) :=
{ prodMapRingHom R M M₂ with commutes' := fun _ => rfl }
#align linear_map.prod_map_alg_hom LinearMap.prodMapAlgHom
end LinearMap
namespace LinearMap
open Submodule
variable [Semiring R] [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommMonoid M₄]
[Module R M] [Module R M₂] [Module R M₃] [Module R M₄]
theorem range_coprod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) : range (f.coprod g) = range f ⊔ range g :=
Submodule.ext fun x => by simp [mem_sup]
#align linear_map.range_coprod LinearMap.range_coprod
theorem isCompl_range_inl_inr : IsCompl (range <| inl R M M₂) (range <| inr R M M₂) := by
constructor
· rw [disjoint_def]
rintro ⟨_, _⟩ ⟨x, hx⟩ ⟨y, hy⟩
simp only [Prod.ext_iff, inl_apply, inr_apply, mem_bot] at hx hy ⊢
exact ⟨hy.1.symm, hx.2.symm⟩
· rw [codisjoint_iff_le_sup]
rintro ⟨x, y⟩ -
simp only [mem_sup, mem_range, exists_prop]
refine ⟨(x, 0), ⟨x, rfl⟩, (0, y), ⟨y, rfl⟩, ?_⟩
simp
#align linear_map.is_compl_range_inl_inr LinearMap.isCompl_range_inl_inr
theorem sup_range_inl_inr : (range <| inl R M M₂) ⊔ (range <| inr R M M₂) = ⊤ :=
IsCompl.sup_eq_top isCompl_range_inl_inr
#align linear_map.sup_range_inl_inr LinearMap.sup_range_inl_inr
theorem disjoint_inl_inr : Disjoint (range <| inl R M M₂) (range <| inr R M M₂) := by
simp (config := { contextual := true }) [disjoint_def, @eq_comm M 0, @eq_comm M₂ 0]
#align linear_map.disjoint_inl_inr LinearMap.disjoint_inl_inr
theorem map_coprod_prod (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) (p : Submodule R M)
(q : Submodule R M₂) : map (coprod f g) (p.prod q) = map f p ⊔ map g q := by
refine le_antisymm ?_ (sup_le (map_le_iff_le_comap.2 ?_) (map_le_iff_le_comap.2 ?_))
· rw [SetLike.le_def]
rintro _ ⟨x, ⟨h₁, h₂⟩, rfl⟩
exact mem_sup.2 ⟨_, ⟨_, h₁, rfl⟩, _, ⟨_, h₂, rfl⟩, rfl⟩
· exact fun x hx => ⟨(x, 0), by simp [hx]⟩
· exact fun x hx => ⟨(0, x), by simp [hx]⟩
#align linear_map.map_coprod_prod LinearMap.map_coprod_prod
theorem comap_prod_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) (p : Submodule R M₂)
(q : Submodule R M₃) : comap (prod f g) (p.prod q) = comap f p ⊓ comap g q :=
Submodule.ext fun _x => Iff.rfl
#align linear_map.comap_prod_prod LinearMap.comap_prod_prod
theorem prod_eq_inf_comap (p : Submodule R M) (q : Submodule R M₂) :
p.prod q = p.comap (LinearMap.fst R M M₂) ⊓ q.comap (LinearMap.snd R M M₂) :=
Submodule.ext fun _x => Iff.rfl
#align linear_map.prod_eq_inf_comap LinearMap.prod_eq_inf_comap
theorem prod_eq_sup_map (p : Submodule R M) (q : Submodule R M₂) :
p.prod q = p.map (LinearMap.inl R M M₂) ⊔ q.map (LinearMap.inr R M M₂) := by
rw [← map_coprod_prod, coprod_inl_inr, map_id]
#align linear_map.prod_eq_sup_map LinearMap.prod_eq_sup_map
theorem span_inl_union_inr {s : Set M} {t : Set M₂} :
span R (inl R M M₂ '' s ∪ inr R M M₂ '' t) = (span R s).prod (span R t) := by
rw [span_union, prod_eq_sup_map, ← span_image, ← span_image]
#align linear_map.span_inl_union_inr LinearMap.span_inl_union_inr
@[simp]
theorem ker_prod (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) : ker (prod f g) = ker f ⊓ ker g := by
rw [ker, ← prod_bot, comap_prod_prod]; rfl
#align linear_map.ker_prod LinearMap.ker_prod
theorem range_prod_le (f : M →ₗ[R] M₂) (g : M →ₗ[R] M₃) :
range (prod f g) ≤ (range f).prod (range g) := by
simp only [SetLike.le_def, prod_apply, mem_range, SetLike.mem_coe, mem_prod, exists_imp]
rintro _ x rfl
exact ⟨⟨x, rfl⟩, ⟨x, rfl⟩⟩
#align linear_map.range_prod_le LinearMap.range_prod_le
theorem ker_prod_ker_le_ker_coprod {M₂ : Type*} [AddCommGroup M₂] [Module R M₂] {M₃ : Type*}
[AddCommGroup M₃] [Module R M₃] (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃) :
(ker f).prod (ker g) ≤ ker (f.coprod g) := by
rintro ⟨y, z⟩
simp (config := { contextual := true })
#align linear_map.ker_prod_ker_le_ker_coprod LinearMap.ker_prod_ker_le_ker_coprod
theorem ker_coprod_of_disjoint_range {M₂ : Type*} [AddCommGroup M₂] [Module R M₂] {M₃ : Type*}
[AddCommGroup M₃] [Module R M₃] (f : M →ₗ[R] M₃) (g : M₂ →ₗ[R] M₃)
(hd : Disjoint (range f) (range g)) : ker (f.coprod g) = (ker f).prod (ker g) := by
apply le_antisymm _ (ker_prod_ker_le_ker_coprod f g)
rintro ⟨y, z⟩ h
simp only [mem_ker, mem_prod, coprod_apply] at h ⊢
have : f y ∈ (range f) ⊓ (range g) := by
simp only [true_and_iff, mem_range, mem_inf, exists_apply_eq_apply]
use -z
rwa [eq_comm, map_neg, ← sub_eq_zero, sub_neg_eq_add]
rw [hd.eq_bot, mem_bot] at this
rw [this] at h
simpa [this] using h
#align linear_map.ker_coprod_of_disjoint_range LinearMap.ker_coprod_of_disjoint_range
end LinearMap
namespace Submodule
open LinearMap
variable [Semiring R]
variable [AddCommMonoid M] [AddCommMonoid M₂]
variable [Module R M] [Module R M₂]
theorem sup_eq_range (p q : Submodule R M) : p ⊔ q = range (p.subtype.coprod q.subtype) :=
Submodule.ext fun x => by simp [Submodule.mem_sup, SetLike.exists]
#align submodule.sup_eq_range Submodule.sup_eq_range
variable (p : Submodule R M) (q : Submodule R M₂)
@[simp]
theorem map_inl : p.map (inl R M M₂) = prod p ⊥ := by
ext ⟨x, y⟩
simp only [and_left_comm, eq_comm, mem_map, Prod.mk.inj_iff, inl_apply, mem_bot, exists_eq_left',
mem_prod]
#align submodule.map_inl Submodule.map_inl
@[simp]
theorem map_inr : q.map (inr R M M₂) = prod ⊥ q := by
ext ⟨x, y⟩; simp [and_left_comm, eq_comm, and_comm]
#align submodule.map_inr Submodule.map_inr
@[simp]
theorem comap_fst : p.comap (fst R M M₂) = prod p ⊤ := by ext ⟨x, y⟩; simp
#align submodule.comap_fst Submodule.comap_fst
@[simp]
theorem comap_snd : q.comap (snd R M M₂) = prod ⊤ q := by ext ⟨x, y⟩; simp
#align submodule.comap_snd Submodule.comap_snd
@[simp]
theorem prod_comap_inl : (prod p q).comap (inl R M M₂) = p := by ext; simp
#align submodule.prod_comap_inl Submodule.prod_comap_inl
@[simp]
theorem prod_comap_inr : (prod p q).comap (inr R M M₂) = q := by ext; simp
#align submodule.prod_comap_inr Submodule.prod_comap_inr
@[simp]
theorem prod_map_fst : (prod p q).map (fst R M M₂) = p := by
ext x; simp [(⟨0, zero_mem _⟩ : ∃ x, x ∈ q)]
#align submodule.prod_map_fst Submodule.prod_map_fst
@[simp]
theorem prod_map_snd : (prod p q).map (snd R M M₂) = q := by
ext x; simp [(⟨0, zero_mem _⟩ : ∃ x, x ∈ p)]
#align submodule.prod_map_snd Submodule.prod_map_snd
@[simp]
theorem ker_inl : ker (inl R M M₂) = ⊥ := by rw [ker, ← prod_bot, prod_comap_inl]
#align submodule.ker_inl Submodule.ker_inl
@[simp]
| Mathlib/LinearAlgebra/Prod.lean | 590 | 590 | theorem ker_inr : ker (inr R M M₂) = ⊥ := by | rw [ker, ← prod_bot, prod_comap_inr]
|
/-
Copyright (c) 2020 Kexing Ying and Kevin Buzzard. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying, Kevin Buzzard, Yury Kudryashov
-/
import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
import Mathlib.Algebra.Group.FiniteSupport
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Set.Subsingleton
#align_import algebra.big_operators.finprod from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
/-!
# Finite products and sums over types and sets
We define products and sums over types and subsets of types, with no finiteness hypotheses.
All infinite products and sums are defined to be junk values (i.e. one or zero).
This approach is sometimes easier to use than `Finset.sum`,
when issues arise with `Finset` and `Fintype` being data.
## Main definitions
We use the following variables:
* `α`, `β` - types with no structure;
* `s`, `t` - sets
* `M`, `N` - additive or multiplicative commutative monoids
* `f`, `g` - functions
Definitions in this file:
* `finsum f : M` : the sum of `f x` as `x` ranges over the support of `f`, if it's finite.
Zero otherwise.
* `finprod f : M` : the product of `f x` as `x` ranges over the multiplicative support of `f`, if
it's finite. One otherwise.
## Notation
* `∑ᶠ i, f i` and `∑ᶠ i : α, f i` for `finsum f`
* `∏ᶠ i, f i` and `∏ᶠ i : α, f i` for `finprod f`
This notation works for functions `f : p → M`, where `p : Prop`, so the following works:
* `∑ᶠ i ∈ s, f i`, where `f : α → M`, `s : Set α` : sum over the set `s`;
* `∑ᶠ n < 5, f n`, where `f : ℕ → M` : same as `f 0 + f 1 + f 2 + f 3 + f 4`;
* `∏ᶠ (n >= -2) (hn : n < 3), f n`, where `f : ℤ → M` : same as `f (-2) * f (-1) * f 0 * f 1 * f 2`.
## Implementation notes
`finsum` and `finprod` is "yet another way of doing finite sums and products in Lean". However
experiments in the wild (e.g. with matroids) indicate that it is a helpful approach in settings
where the user is not interested in computability and wants to do reasoning without running into
typeclass diamonds caused by the constructive finiteness used in definitions such as `Finset` and
`Fintype`. By sticking solely to `Set.Finite` we avoid these problems. We are aware that there are
other solutions but for beginner mathematicians this approach is easier in practice.
Another application is the construction of a partition of unity from a collection of “bump”
function. In this case the finite set depends on the point and it's convenient to have a definition
that does not mention the set explicitly.
The first arguments in all definitions and lemmas is the codomain of the function of the big
operator. This is necessary for the heuristic in `@[to_additive]`.
See the documentation of `to_additive.attr` for more information.
We did not add `IsFinite (X : Type) : Prop`, because it is simply `Nonempty (Fintype X)`.
## Tags
finsum, finprod, finite sum, finite product
-/
open Function Set
/-!
### Definition and relation to `Finset.sum` and `Finset.prod`
-/
-- Porting note: Used to be section Sort
section sort
variable {G M N : Type*} {α β ι : Sort*} [CommMonoid M] [CommMonoid N]
section
/- Note: we use classical logic only for these definitions, to ensure that we do not write lemmas
with `Classical.dec` in their statement. -/
open scoped Classical
/-- Sum of `f x` as `x` ranges over the elements of the support of `f`, if it's finite. Zero
otherwise. -/
noncomputable irreducible_def finsum (lemma := finsum_def') [AddCommMonoid M] (f : α → M) : M :=
if h : (support (f ∘ PLift.down)).Finite then ∑ i ∈ h.toFinset, f i.down else 0
#align finsum finsum
/-- Product of `f x` as `x` ranges over the elements of the multiplicative support of `f`, if it's
finite. One otherwise. -/
@[to_additive existing]
noncomputable irreducible_def finprod (lemma := finprod_def') (f : α → M) : M :=
if h : (mulSupport (f ∘ PLift.down)).Finite then ∏ i ∈ h.toFinset, f i.down else 1
#align finprod finprod
attribute [to_additive existing] finprod_def'
end
open Batteries.ExtendedBinder
/-- `∑ᶠ x, f x` is notation for `finsum f`. It is the sum of `f x`, where `x` ranges over the
support of `f`, if it's finite, zero otherwise. Taking the sum over multiple arguments or
conditions is possible, e.g. `∏ᶠ (x) (y), f x y` and `∏ᶠ (x) (h: x ∈ s), f x`-/
notation3"∑ᶠ "(...)", "r:67:(scoped f => finsum f) => r
/-- `∏ᶠ x, f x` is notation for `finprod f`. It is the product of `f x`, where `x` ranges over the
multiplicative support of `f`, if it's finite, one otherwise. Taking the product over multiple
arguments or conditions is possible, e.g. `∏ᶠ (x) (y), f x y` and `∏ᶠ (x) (h: x ∈ s), f x`-/
notation3"∏ᶠ "(...)", "r:67:(scoped f => finprod f) => r
-- Porting note: The following ports the lean3 notation for this file, but is currently very fickle.
-- syntax (name := bigfinsum) "∑ᶠ" extBinders ", " term:67 : term
-- macro_rules (kind := bigfinsum)
-- | `(∑ᶠ $x:ident, $p) => `(finsum (fun $x:ident ↦ $p))
-- | `(∑ᶠ $x:ident : $t, $p) => `(finsum (fun $x:ident : $t ↦ $p))
-- | `(∑ᶠ $x:ident $b:binderPred, $p) =>
-- `(finsum fun $x => (finsum (α := satisfies_binder_pred% $x $b) (fun _ => $p)))
-- | `(∑ᶠ ($x:ident) ($h:ident : $t), $p) =>
-- `(finsum fun ($x) => finsum (α := $t) (fun $h => $p))
-- | `(∑ᶠ ($x:ident : $_) ($h:ident : $t), $p) =>
-- `(finsum fun ($x) => finsum (α := $t) (fun $h => $p))
-- | `(∑ᶠ ($x:ident) ($y:ident), $p) =>
-- `(finsum fun $x => (finsum fun $y => $p))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($h:ident : $t), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum (α := $t) fun $h => $p)))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($z:ident), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum fun $z => $p)))
-- | `(∑ᶠ ($x:ident) ($y:ident) ($z:ident) ($h:ident : $t), $p) =>
-- `(finsum fun $x => (finsum fun $y => (finsum fun $z => (finsum (α := $t) fun $h => $p))))
--
--
-- syntax (name := bigfinprod) "∏ᶠ " extBinders ", " term:67 : term
-- macro_rules (kind := bigfinprod)
-- | `(∏ᶠ $x:ident, $p) => `(finprod (fun $x:ident ↦ $p))
-- | `(∏ᶠ $x:ident : $t, $p) => `(finprod (fun $x:ident : $t ↦ $p))
-- | `(∏ᶠ $x:ident $b:binderPred, $p) =>
-- `(finprod fun $x => (finprod (α := satisfies_binder_pred% $x $b) (fun _ => $p)))
-- | `(∏ᶠ ($x:ident) ($h:ident : $t), $p) =>
-- `(finprod fun ($x) => finprod (α := $t) (fun $h => $p))
-- | `(∏ᶠ ($x:ident : $_) ($h:ident : $t), $p) =>
-- `(finprod fun ($x) => finprod (α := $t) (fun $h => $p))
-- | `(∏ᶠ ($x:ident) ($y:ident), $p) =>
-- `(finprod fun $x => (finprod fun $y => $p))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($h:ident : $t), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod (α := $t) fun $h => $p)))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($z:ident), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod fun $z => $p)))
-- | `(∏ᶠ ($x:ident) ($y:ident) ($z:ident) ($h:ident : $t), $p) =>
-- `(finprod fun $x => (finprod fun $y => (finprod fun $z =>
-- (finprod (α := $t) fun $h => $p))))
@[to_additive]
theorem finprod_eq_prod_plift_of_mulSupport_toFinset_subset {f : α → M}
(hf : (mulSupport (f ∘ PLift.down)).Finite) {s : Finset (PLift α)} (hs : hf.toFinset ⊆ s) :
∏ᶠ i, f i = ∏ i ∈ s, f i.down := by
rw [finprod, dif_pos]
refine Finset.prod_subset hs fun x _ hxf => ?_
rwa [hf.mem_toFinset, nmem_mulSupport] at hxf
#align finprod_eq_prod_plift_of_mul_support_to_finset_subset finprod_eq_prod_plift_of_mulSupport_toFinset_subset
#align finsum_eq_sum_plift_of_support_to_finset_subset finsum_eq_sum_plift_of_support_toFinset_subset
@[to_additive]
theorem finprod_eq_prod_plift_of_mulSupport_subset {f : α → M} {s : Finset (PLift α)}
(hs : mulSupport (f ∘ PLift.down) ⊆ s) : ∏ᶠ i, f i = ∏ i ∈ s, f i.down :=
finprod_eq_prod_plift_of_mulSupport_toFinset_subset (s.finite_toSet.subset hs) fun x hx => by
rw [Finite.mem_toFinset] at hx
exact hs hx
#align finprod_eq_prod_plift_of_mul_support_subset finprod_eq_prod_plift_of_mulSupport_subset
#align finsum_eq_sum_plift_of_support_subset finsum_eq_sum_plift_of_support_subset
@[to_additive (attr := simp)]
theorem finprod_one : (∏ᶠ _ : α, (1 : M)) = 1 := by
have : (mulSupport fun x : PLift α => (fun _ => 1 : α → M) x.down) ⊆ (∅ : Finset (PLift α)) :=
fun x h => by simp at h
rw [finprod_eq_prod_plift_of_mulSupport_subset this, Finset.prod_empty]
#align finprod_one finprod_one
#align finsum_zero finsum_zero
@[to_additive]
theorem finprod_of_isEmpty [IsEmpty α] (f : α → M) : ∏ᶠ i, f i = 1 := by
rw [← finprod_one]
congr
simp [eq_iff_true_of_subsingleton]
#align finprod_of_is_empty finprod_of_isEmpty
#align finsum_of_is_empty finsum_of_isEmpty
@[to_additive (attr := simp)]
theorem finprod_false (f : False → M) : ∏ᶠ i, f i = 1 :=
finprod_of_isEmpty _
#align finprod_false finprod_false
#align finsum_false finsum_false
@[to_additive]
theorem finprod_eq_single (f : α → M) (a : α) (ha : ∀ x, x ≠ a → f x = 1) :
∏ᶠ x, f x = f a := by
have : mulSupport (f ∘ PLift.down) ⊆ ({PLift.up a} : Finset (PLift α)) := by
intro x
contrapose
simpa [PLift.eq_up_iff_down_eq] using ha x.down
rw [finprod_eq_prod_plift_of_mulSupport_subset this, Finset.prod_singleton]
#align finprod_eq_single finprod_eq_single
#align finsum_eq_single finsum_eq_single
@[to_additive]
theorem finprod_unique [Unique α] (f : α → M) : ∏ᶠ i, f i = f default :=
finprod_eq_single f default fun _x hx => (hx <| Unique.eq_default _).elim
#align finprod_unique finprod_unique
#align finsum_unique finsum_unique
@[to_additive (attr := simp)]
theorem finprod_true (f : True → M) : ∏ᶠ i, f i = f trivial :=
@finprod_unique M True _ ⟨⟨trivial⟩, fun _ => rfl⟩ f
#align finprod_true finprod_true
#align finsum_true finsum_true
@[to_additive]
theorem finprod_eq_dif {p : Prop} [Decidable p] (f : p → M) :
∏ᶠ i, f i = if h : p then f h else 1 := by
split_ifs with h
· haveI : Unique p := ⟨⟨h⟩, fun _ => rfl⟩
exact finprod_unique f
· haveI : IsEmpty p := ⟨h⟩
exact finprod_of_isEmpty f
#align finprod_eq_dif finprod_eq_dif
#align finsum_eq_dif finsum_eq_dif
@[to_additive]
theorem finprod_eq_if {p : Prop} [Decidable p] {x : M} : ∏ᶠ _ : p, x = if p then x else 1 :=
finprod_eq_dif fun _ => x
#align finprod_eq_if finprod_eq_if
#align finsum_eq_if finsum_eq_if
@[to_additive]
theorem finprod_congr {f g : α → M} (h : ∀ x, f x = g x) : finprod f = finprod g :=
congr_arg _ <| funext h
#align finprod_congr finprod_congr
#align finsum_congr finsum_congr
@[to_additive (attr := congr)]
theorem finprod_congr_Prop {p q : Prop} {f : p → M} {g : q → M} (hpq : p = q)
(hfg : ∀ h : q, f (hpq.mpr h) = g h) : finprod f = finprod g := by
subst q
exact finprod_congr hfg
#align finprod_congr_Prop finprod_congr_Prop
#align finsum_congr_Prop finsum_congr_Prop
/-- To prove a property of a finite product, it suffices to prove that the property is
multiplicative and holds on the factors. -/
@[to_additive
"To prove a property of a finite sum, it suffices to prove that the property is
additive and holds on the summands."]
theorem finprod_induction {f : α → M} (p : M → Prop) (hp₀ : p 1)
(hp₁ : ∀ x y, p x → p y → p (x * y)) (hp₂ : ∀ i, p (f i)) : p (∏ᶠ i, f i) := by
rw [finprod]
split_ifs
exacts [Finset.prod_induction _ _ hp₁ hp₀ fun i _ => hp₂ _, hp₀]
#align finprod_induction finprod_induction
#align finsum_induction finsum_induction
theorem finprod_nonneg {R : Type*} [OrderedCommSemiring R] {f : α → R} (hf : ∀ x, 0 ≤ f x) :
0 ≤ ∏ᶠ x, f x :=
finprod_induction (fun x => 0 ≤ x) zero_le_one (fun _ _ => mul_nonneg) hf
#align finprod_nonneg finprod_nonneg
@[to_additive finsum_nonneg]
theorem one_le_finprod' {M : Type*} [OrderedCommMonoid M] {f : α → M} (hf : ∀ i, 1 ≤ f i) :
1 ≤ ∏ᶠ i, f i :=
finprod_induction _ le_rfl (fun _ _ => one_le_mul) hf
#align one_le_finprod' one_le_finprod'
#align finsum_nonneg finsum_nonneg
@[to_additive]
theorem MonoidHom.map_finprod_plift (f : M →* N) (g : α → M)
(h : (mulSupport <| g ∘ PLift.down).Finite) : f (∏ᶠ x, g x) = ∏ᶠ x, f (g x) := by
rw [finprod_eq_prod_plift_of_mulSupport_subset h.coe_toFinset.ge,
finprod_eq_prod_plift_of_mulSupport_subset, map_prod]
rw [h.coe_toFinset]
exact mulSupport_comp_subset f.map_one (g ∘ PLift.down)
#align monoid_hom.map_finprod_plift MonoidHom.map_finprod_plift
#align add_monoid_hom.map_finsum_plift AddMonoidHom.map_finsum_plift
@[to_additive]
theorem MonoidHom.map_finprod_Prop {p : Prop} (f : M →* N) (g : p → M) :
f (∏ᶠ x, g x) = ∏ᶠ x, f (g x) :=
f.map_finprod_plift g (Set.toFinite _)
#align monoid_hom.map_finprod_Prop MonoidHom.map_finprod_Prop
#align add_monoid_hom.map_finsum_Prop AddMonoidHom.map_finsum_Prop
@[to_additive]
theorem MonoidHom.map_finprod_of_preimage_one (f : M →* N) (hf : ∀ x, f x = 1 → x = 1) (g : α → M) :
f (∏ᶠ i, g i) = ∏ᶠ i, f (g i) := by
by_cases hg : (mulSupport <| g ∘ PLift.down).Finite; · exact f.map_finprod_plift g hg
rw [finprod, dif_neg, f.map_one, finprod, dif_neg]
exacts [Infinite.mono (fun x hx => mt (hf (g x.down)) hx) hg, hg]
#align monoid_hom.map_finprod_of_preimage_one MonoidHom.map_finprod_of_preimage_one
#align add_monoid_hom.map_finsum_of_preimage_zero AddMonoidHom.map_finsum_of_preimage_zero
@[to_additive]
theorem MonoidHom.map_finprod_of_injective (g : M →* N) (hg : Injective g) (f : α → M) :
g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.map_finprod_of_preimage_one (fun _ => (hg.eq_iff' g.map_one).mp) f
#align monoid_hom.map_finprod_of_injective MonoidHom.map_finprod_of_injective
#align add_monoid_hom.map_finsum_of_injective AddMonoidHom.map_finsum_of_injective
@[to_additive]
theorem MulEquiv.map_finprod (g : M ≃* N) (f : α → M) : g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.toMonoidHom.map_finprod_of_injective (EquivLike.injective g) f
#align mul_equiv.map_finprod MulEquiv.map_finprod
#align add_equiv.map_finsum AddEquiv.map_finsum
/-- The `NoZeroSMulDivisors` makes sure that the result holds even when the support of `f` is
infinite. For a more usual version assuming `(support f).Finite` instead, see `finsum_smul'`. -/
theorem finsum_smul {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] [NoZeroSMulDivisors R M]
(f : ι → R) (x : M) : (∑ᶠ i, f i) • x = ∑ᶠ i, f i • x := by
rcases eq_or_ne x 0 with (rfl | hx)
· simp
· exact ((smulAddHom R M).flip x).map_finsum_of_injective (smul_left_injective R hx) _
#align finsum_smul finsum_smul
/-- The `NoZeroSMulDivisors` makes sure that the result holds even when the support of `f` is
infinite. For a more usual version assuming `(support f).Finite` instead, see `smul_finsum'`. -/
theorem smul_finsum {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] [NoZeroSMulDivisors R M]
(c : R) (f : ι → M) : (c • ∑ᶠ i, f i) = ∑ᶠ i, c • f i := by
rcases eq_or_ne c 0 with (rfl | hc)
· simp
· exact (smulAddHom R M c).map_finsum_of_injective (smul_right_injective M hc) _
#align smul_finsum smul_finsum
@[to_additive]
theorem finprod_inv_distrib [DivisionCommMonoid G] (f : α → G) : (∏ᶠ x, (f x)⁻¹) = (∏ᶠ x, f x)⁻¹ :=
((MulEquiv.inv G).map_finprod f).symm
#align finprod_inv_distrib finprod_inv_distrib
#align finsum_neg_distrib finsum_neg_distrib
end sort
-- Porting note: Used to be section Type
section type
variable {α β ι G M N : Type*} [CommMonoid M] [CommMonoid N]
@[to_additive]
theorem finprod_eq_mulIndicator_apply (s : Set α) (f : α → M) (a : α) :
∏ᶠ _ : a ∈ s, f a = mulIndicator s f a := by
classical convert finprod_eq_if (M := M) (p := a ∈ s) (x := f a)
#align finprod_eq_mul_indicator_apply finprod_eq_mulIndicator_apply
#align finsum_eq_indicator_apply finsum_eq_indicator_apply
@[to_additive (attr := simp)]
theorem finprod_mem_mulSupport (f : α → M) (a : α) : ∏ᶠ _ : f a ≠ 1, f a = f a := by
rw [← mem_mulSupport, finprod_eq_mulIndicator_apply, mulIndicator_mulSupport]
#align finprod_mem_mul_support finprod_mem_mulSupport
#align finsum_mem_support finsum_mem_support
@[to_additive]
theorem finprod_mem_def (s : Set α) (f : α → M) : ∏ᶠ a ∈ s, f a = ∏ᶠ a, mulIndicator s f a :=
finprod_congr <| finprod_eq_mulIndicator_apply s f
#align finprod_mem_def finprod_mem_def
#align finsum_mem_def finsum_mem_def
@[to_additive]
theorem finprod_eq_prod_of_mulSupport_subset (f : α → M) {s : Finset α} (h : mulSupport f ⊆ s) :
∏ᶠ i, f i = ∏ i ∈ s, f i := by
have A : mulSupport (f ∘ PLift.down) = Equiv.plift.symm '' mulSupport f := by
rw [mulSupport_comp_eq_preimage]
exact (Equiv.plift.symm.image_eq_preimage _).symm
have : mulSupport (f ∘ PLift.down) ⊆ s.map Equiv.plift.symm.toEmbedding := by
rw [A, Finset.coe_map]
exact image_subset _ h
rw [finprod_eq_prod_plift_of_mulSupport_subset this]
simp only [Finset.prod_map, Equiv.coe_toEmbedding]
congr
#align finprod_eq_prod_of_mul_support_subset finprod_eq_prod_of_mulSupport_subset
#align finsum_eq_sum_of_support_subset finsum_eq_sum_of_support_subset
@[to_additive]
theorem finprod_eq_prod_of_mulSupport_toFinset_subset (f : α → M) (hf : (mulSupport f).Finite)
{s : Finset α} (h : hf.toFinset ⊆ s) : ∏ᶠ i, f i = ∏ i ∈ s, f i :=
finprod_eq_prod_of_mulSupport_subset _ fun _ hx => h <| hf.mem_toFinset.2 hx
#align finprod_eq_prod_of_mul_support_to_finset_subset finprod_eq_prod_of_mulSupport_toFinset_subset
#align finsum_eq_sum_of_support_to_finset_subset finsum_eq_sum_of_support_toFinset_subset
@[to_additive]
theorem finprod_eq_finset_prod_of_mulSupport_subset (f : α → M) {s : Finset α}
(h : mulSupport f ⊆ (s : Set α)) : ∏ᶠ i, f i = ∏ i ∈ s, f i :=
haveI h' : (s.finite_toSet.subset h).toFinset ⊆ s := by
simpa [← Finset.coe_subset, Set.coe_toFinset]
finprod_eq_prod_of_mulSupport_toFinset_subset _ _ h'
#align finprod_eq_finset_prod_of_mul_support_subset finprod_eq_finset_prod_of_mulSupport_subset
#align finsum_eq_finset_sum_of_support_subset finsum_eq_finset_sum_of_support_subset
@[to_additive]
theorem finprod_def (f : α → M) [Decidable (mulSupport f).Finite] :
∏ᶠ i : α, f i = if h : (mulSupport f).Finite then ∏ i ∈ h.toFinset, f i else 1 := by
split_ifs with h
· exact finprod_eq_prod_of_mulSupport_toFinset_subset _ h (Finset.Subset.refl _)
· rw [finprod, dif_neg]
rw [mulSupport_comp_eq_preimage]
exact mt (fun hf => hf.of_preimage Equiv.plift.surjective) h
#align finprod_def finprod_def
#align finsum_def finsum_def
@[to_additive]
theorem finprod_of_infinite_mulSupport {f : α → M} (hf : (mulSupport f).Infinite) :
∏ᶠ i, f i = 1 := by classical rw [finprod_def, dif_neg hf]
#align finprod_of_infinite_mul_support finprod_of_infinite_mulSupport
#align finsum_of_infinite_support finsum_of_infinite_support
@[to_additive]
theorem finprod_eq_prod (f : α → M) (hf : (mulSupport f).Finite) :
∏ᶠ i : α, f i = ∏ i ∈ hf.toFinset, f i := by classical rw [finprod_def, dif_pos hf]
#align finprod_eq_prod finprod_eq_prod
#align finsum_eq_sum finsum_eq_sum
@[to_additive]
theorem finprod_eq_prod_of_fintype [Fintype α] (f : α → M) : ∏ᶠ i : α, f i = ∏ i, f i :=
finprod_eq_prod_of_mulSupport_toFinset_subset _ (Set.toFinite _) <| Finset.subset_univ _
#align finprod_eq_prod_of_fintype finprod_eq_prod_of_fintype
#align finsum_eq_sum_of_fintype finsum_eq_sum_of_fintype
@[to_additive]
theorem finprod_cond_eq_prod_of_cond_iff (f : α → M) {p : α → Prop} {t : Finset α}
(h : ∀ {x}, f x ≠ 1 → (p x ↔ x ∈ t)) : (∏ᶠ (i) (_ : p i), f i) = ∏ i ∈ t, f i := by
set s := { x | p x }
have : mulSupport (s.mulIndicator f) ⊆ t := by
rw [Set.mulSupport_mulIndicator]
intro x hx
exact (h hx.2).1 hx.1
erw [finprod_mem_def, finprod_eq_prod_of_mulSupport_subset _ this]
refine Finset.prod_congr rfl fun x hx => mulIndicator_apply_eq_self.2 fun hxs => ?_
contrapose! hxs
exact (h hxs).2 hx
#align finprod_cond_eq_prod_of_cond_iff finprod_cond_eq_prod_of_cond_iff
#align finsum_cond_eq_sum_of_cond_iff finsum_cond_eq_sum_of_cond_iff
@[to_additive]
theorem finprod_cond_ne (f : α → M) (a : α) [DecidableEq α] (hf : (mulSupport f).Finite) :
(∏ᶠ (i) (_ : i ≠ a), f i) = ∏ i ∈ hf.toFinset.erase a, f i := by
apply finprod_cond_eq_prod_of_cond_iff
intro x hx
rw [Finset.mem_erase, Finite.mem_toFinset, mem_mulSupport]
exact ⟨fun h => And.intro h hx, fun h => h.1⟩
#align finprod_cond_ne finprod_cond_ne
#align finsum_cond_ne finsum_cond_ne
@[to_additive]
theorem finprod_mem_eq_prod_of_inter_mulSupport_eq (f : α → M) {s : Set α} {t : Finset α}
(h : s ∩ mulSupport f = t.toSet ∩ mulSupport f) : ∏ᶠ i ∈ s, f i = ∏ i ∈ t, f i :=
finprod_cond_eq_prod_of_cond_iff _ <| by
intro x hxf
rw [← mem_mulSupport] at hxf
refine ⟨fun hx => ?_, fun hx => ?_⟩
· refine ((mem_inter_iff x t (mulSupport f)).mp ?_).1
rw [← Set.ext_iff.mp h x, mem_inter_iff]
exact ⟨hx, hxf⟩
· refine ((mem_inter_iff x s (mulSupport f)).mp ?_).1
rw [Set.ext_iff.mp h x, mem_inter_iff]
exact ⟨hx, hxf⟩
#align finprod_mem_eq_prod_of_inter_mul_support_eq finprod_mem_eq_prod_of_inter_mulSupport_eq
#align finsum_mem_eq_sum_of_inter_support_eq finsum_mem_eq_sum_of_inter_support_eq
@[to_additive]
theorem finprod_mem_eq_prod_of_subset (f : α → M) {s : Set α} {t : Finset α}
(h₁ : s ∩ mulSupport f ⊆ t) (h₂ : ↑t ⊆ s) : ∏ᶠ i ∈ s, f i = ∏ i ∈ t, f i :=
finprod_cond_eq_prod_of_cond_iff _ fun hx => ⟨fun h => h₁ ⟨h, hx⟩, fun h => h₂ h⟩
#align finprod_mem_eq_prod_of_subset finprod_mem_eq_prod_of_subset
#align finsum_mem_eq_sum_of_subset finsum_mem_eq_sum_of_subset
@[to_additive]
theorem finprod_mem_eq_prod (f : α → M) {s : Set α} (hf : (s ∩ mulSupport f).Finite) :
∏ᶠ i ∈ s, f i = ∏ i ∈ hf.toFinset, f i :=
finprod_mem_eq_prod_of_inter_mulSupport_eq _ <| by simp [inter_assoc]
#align finprod_mem_eq_prod finprod_mem_eq_prod
#align finsum_mem_eq_sum finsum_mem_eq_sum
@[to_additive]
theorem finprod_mem_eq_prod_filter (f : α → M) (s : Set α) [DecidablePred (· ∈ s)]
(hf : (mulSupport f).Finite) :
∏ᶠ i ∈ s, f i = ∏ i ∈ Finset.filter (· ∈ s) hf.toFinset, f i :=
finprod_mem_eq_prod_of_inter_mulSupport_eq _ <| by
ext x
simp [and_comm]
#align finprod_mem_eq_prod_filter finprod_mem_eq_prod_filter
#align finsum_mem_eq_sum_filter finsum_mem_eq_sum_filter
@[to_additive]
theorem finprod_mem_eq_toFinset_prod (f : α → M) (s : Set α) [Fintype s] :
∏ᶠ i ∈ s, f i = ∏ i ∈ s.toFinset, f i :=
finprod_mem_eq_prod_of_inter_mulSupport_eq _ <| by simp_rw [coe_toFinset s]
#align finprod_mem_eq_to_finset_prod finprod_mem_eq_toFinset_prod
#align finsum_mem_eq_to_finset_sum finsum_mem_eq_toFinset_sum
@[to_additive]
theorem finprod_mem_eq_finite_toFinset_prod (f : α → M) {s : Set α} (hs : s.Finite) :
∏ᶠ i ∈ s, f i = ∏ i ∈ hs.toFinset, f i :=
finprod_mem_eq_prod_of_inter_mulSupport_eq _ <| by rw [hs.coe_toFinset]
#align finprod_mem_eq_finite_to_finset_prod finprod_mem_eq_finite_toFinset_prod
#align finsum_mem_eq_finite_to_finset_sum finsum_mem_eq_finite_toFinset_sum
@[to_additive]
theorem finprod_mem_finset_eq_prod (f : α → M) (s : Finset α) : ∏ᶠ i ∈ s, f i = ∏ i ∈ s, f i :=
finprod_mem_eq_prod_of_inter_mulSupport_eq _ rfl
#align finprod_mem_finset_eq_prod finprod_mem_finset_eq_prod
#align finsum_mem_finset_eq_sum finsum_mem_finset_eq_sum
@[to_additive]
theorem finprod_mem_coe_finset (f : α → M) (s : Finset α) :
(∏ᶠ i ∈ (s : Set α), f i) = ∏ i ∈ s, f i :=
finprod_mem_eq_prod_of_inter_mulSupport_eq _ rfl
#align finprod_mem_coe_finset finprod_mem_coe_finset
#align finsum_mem_coe_finset finsum_mem_coe_finset
@[to_additive]
theorem finprod_mem_eq_one_of_infinite {f : α → M} {s : Set α} (hs : (s ∩ mulSupport f).Infinite) :
∏ᶠ i ∈ s, f i = 1 := by
rw [finprod_mem_def]
apply finprod_of_infinite_mulSupport
rwa [← mulSupport_mulIndicator] at hs
#align finprod_mem_eq_one_of_infinite finprod_mem_eq_one_of_infinite
#align finsum_mem_eq_zero_of_infinite finsum_mem_eq_zero_of_infinite
@[to_additive]
theorem finprod_mem_eq_one_of_forall_eq_one {f : α → M} {s : Set α} (h : ∀ x ∈ s, f x = 1) :
∏ᶠ i ∈ s, f i = 1 := by simp (config := { contextual := true }) [h]
#align finprod_mem_eq_one_of_forall_eq_one finprod_mem_eq_one_of_forall_eq_one
#align finsum_mem_eq_zero_of_forall_eq_zero finsum_mem_eq_zero_of_forall_eq_zero
@[to_additive]
theorem finprod_mem_inter_mulSupport (f : α → M) (s : Set α) :
∏ᶠ i ∈ s ∩ mulSupport f, f i = ∏ᶠ i ∈ s, f i := by
rw [finprod_mem_def, finprod_mem_def, mulIndicator_inter_mulSupport]
#align finprod_mem_inter_mul_support finprod_mem_inter_mulSupport
#align finsum_mem_inter_support finsum_mem_inter_support
@[to_additive]
theorem finprod_mem_inter_mulSupport_eq (f : α → M) (s t : Set α)
(h : s ∩ mulSupport f = t ∩ mulSupport f) : ∏ᶠ i ∈ s, f i = ∏ᶠ i ∈ t, f i := by
rw [← finprod_mem_inter_mulSupport, h, finprod_mem_inter_mulSupport]
#align finprod_mem_inter_mul_support_eq finprod_mem_inter_mulSupport_eq
#align finsum_mem_inter_support_eq finsum_mem_inter_support_eq
@[to_additive]
theorem finprod_mem_inter_mulSupport_eq' (f : α → M) (s t : Set α)
(h : ∀ x ∈ mulSupport f, x ∈ s ↔ x ∈ t) : ∏ᶠ i ∈ s, f i = ∏ᶠ i ∈ t, f i := by
apply finprod_mem_inter_mulSupport_eq
ext x
exact and_congr_left (h x)
#align finprod_mem_inter_mul_support_eq' finprod_mem_inter_mulSupport_eq'
#align finsum_mem_inter_support_eq' finsum_mem_inter_support_eq'
@[to_additive]
theorem finprod_mem_univ (f : α → M) : ∏ᶠ i ∈ @Set.univ α, f i = ∏ᶠ i : α, f i :=
finprod_congr fun _ => finprod_true _
#align finprod_mem_univ finprod_mem_univ
#align finsum_mem_univ finsum_mem_univ
variable {f g : α → M} {a b : α} {s t : Set α}
@[to_additive]
theorem finprod_mem_congr (h₀ : s = t) (h₁ : ∀ x ∈ t, f x = g x) :
∏ᶠ i ∈ s, f i = ∏ᶠ i ∈ t, g i :=
h₀.symm ▸ finprod_congr fun i => finprod_congr_Prop rfl (h₁ i)
#align finprod_mem_congr finprod_mem_congr
#align finsum_mem_congr finsum_mem_congr
@[to_additive]
theorem finprod_eq_one_of_forall_eq_one {f : α → M} (h : ∀ x, f x = 1) : ∏ᶠ i, f i = 1 := by
simp (config := { contextual := true }) [h]
#align finprod_eq_one_of_forall_eq_one finprod_eq_one_of_forall_eq_one
#align finsum_eq_zero_of_forall_eq_zero finsum_eq_zero_of_forall_eq_zero
@[to_additive finsum_pos']
theorem one_lt_finprod' {M : Type*} [OrderedCancelCommMonoid M] {f : ι → M}
(h : ∀ i, 1 ≤ f i) (h' : ∃ i, 1 < f i) (hf : (mulSupport f).Finite) : 1 < ∏ᶠ i, f i := by
rcases h' with ⟨i, hi⟩
rw [finprod_eq_prod _ hf]
refine Finset.one_lt_prod' (fun i _ ↦ h i) ⟨i, ?_, hi⟩
simpa only [Finite.mem_toFinset, mem_mulSupport] using ne_of_gt hi
/-!
### Distributivity w.r.t. addition, subtraction, and (scalar) multiplication
-/
/-- If the multiplicative supports of `f` and `g` are finite, then the product of `f i * g i` equals
the product of `f i` multiplied by the product of `g i`. -/
@[to_additive
"If the additive supports of `f` and `g` are finite, then the sum of `f i + g i`
equals the sum of `f i` plus the sum of `g i`."]
theorem finprod_mul_distrib (hf : (mulSupport f).Finite) (hg : (mulSupport g).Finite) :
∏ᶠ i, f i * g i = (∏ᶠ i, f i) * ∏ᶠ i, g i := by
classical
rw [finprod_eq_prod_of_mulSupport_toFinset_subset f hf Finset.subset_union_left,
finprod_eq_prod_of_mulSupport_toFinset_subset g hg Finset.subset_union_right, ←
Finset.prod_mul_distrib]
refine finprod_eq_prod_of_mulSupport_subset _ ?_
simp only [Finset.coe_union, Finite.coe_toFinset, mulSupport_subset_iff,
mem_union, mem_mulSupport]
intro x
contrapose!
rintro ⟨hf, hg⟩
simp [hf, hg]
#align finprod_mul_distrib finprod_mul_distrib
#align finsum_add_distrib finsum_add_distrib
/-- If the multiplicative supports of `f` and `g` are finite, then the product of `f i / g i`
equals the product of `f i` divided by the product of `g i`. -/
@[to_additive
"If the additive supports of `f` and `g` are finite, then the sum of `f i - g i`
equals the sum of `f i` minus the sum of `g i`."]
theorem finprod_div_distrib [DivisionCommMonoid G] {f g : α → G} (hf : (mulSupport f).Finite)
(hg : (mulSupport g).Finite) : ∏ᶠ i, f i / g i = (∏ᶠ i, f i) / ∏ᶠ i, g i := by
simp only [div_eq_mul_inv, finprod_mul_distrib hf ((mulSupport_inv g).symm.rec hg),
finprod_inv_distrib]
#align finprod_div_distrib finprod_div_distrib
#align finsum_sub_distrib finsum_sub_distrib
/-- A more general version of `finprod_mem_mul_distrib` that only requires `s ∩ mulSupport f` and
`s ∩ mulSupport g` rather than `s` to be finite. -/
@[to_additive
"A more general version of `finsum_mem_add_distrib` that only requires `s ∩ support f`
and `s ∩ support g` rather than `s` to be finite."]
theorem finprod_mem_mul_distrib' (hf : (s ∩ mulSupport f).Finite) (hg : (s ∩ mulSupport g).Finite) :
∏ᶠ i ∈ s, f i * g i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ s, g i := by
rw [← mulSupport_mulIndicator] at hf hg
simp only [finprod_mem_def, mulIndicator_mul, finprod_mul_distrib hf hg]
#align finprod_mem_mul_distrib' finprod_mem_mul_distrib'
#align finsum_mem_add_distrib' finsum_mem_add_distrib'
/-- The product of the constant function `1` over any set equals `1`. -/
@[to_additive "The sum of the constant function `0` over any set equals `0`."]
theorem finprod_mem_one (s : Set α) : (∏ᶠ i ∈ s, (1 : M)) = 1 := by simp
#align finprod_mem_one finprod_mem_one
#align finsum_mem_zero finsum_mem_zero
/-- If a function `f` equals `1` on a set `s`, then the product of `f i` over `i ∈ s` equals `1`. -/
@[to_additive
"If a function `f` equals `0` on a set `s`, then the product of `f i` over `i ∈ s`
equals `0`."]
theorem finprod_mem_of_eqOn_one (hf : s.EqOn f 1) : ∏ᶠ i ∈ s, f i = 1 := by
rw [← finprod_mem_one s]
exact finprod_mem_congr rfl hf
#align finprod_mem_of_eq_on_one finprod_mem_of_eqOn_one
#align finsum_mem_of_eq_on_zero finsum_mem_of_eqOn_zero
/-- If the product of `f i` over `i ∈ s` is not equal to `1`, then there is some `x ∈ s` such that
`f x ≠ 1`. -/
@[to_additive
"If the product of `f i` over `i ∈ s` is not equal to `0`, then there is some `x ∈ s`
such that `f x ≠ 0`."]
theorem exists_ne_one_of_finprod_mem_ne_one (h : ∏ᶠ i ∈ s, f i ≠ 1) : ∃ x ∈ s, f x ≠ 1 := by
by_contra! h'
exact h (finprod_mem_of_eqOn_one h')
#align exists_ne_one_of_finprod_mem_ne_one exists_ne_one_of_finprod_mem_ne_one
#align exists_ne_zero_of_finsum_mem_ne_zero exists_ne_zero_of_finsum_mem_ne_zero
/-- Given a finite set `s`, the product of `f i * g i` over `i ∈ s` equals the product of `f i`
over `i ∈ s` times the product of `g i` over `i ∈ s`. -/
@[to_additive
"Given a finite set `s`, the sum of `f i + g i` over `i ∈ s` equals the sum of `f i`
over `i ∈ s` plus the sum of `g i` over `i ∈ s`."]
theorem finprod_mem_mul_distrib (hs : s.Finite) :
∏ᶠ i ∈ s, f i * g i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ s, g i :=
finprod_mem_mul_distrib' (hs.inter_of_left _) (hs.inter_of_left _)
#align finprod_mem_mul_distrib finprod_mem_mul_distrib
#align finsum_mem_add_distrib finsum_mem_add_distrib
@[to_additive]
theorem MonoidHom.map_finprod {f : α → M} (g : M →* N) (hf : (mulSupport f).Finite) :
g (∏ᶠ i, f i) = ∏ᶠ i, g (f i) :=
g.map_finprod_plift f <| hf.preimage Equiv.plift.injective.injOn
#align monoid_hom.map_finprod MonoidHom.map_finprod
#align add_monoid_hom.map_finsum AddMonoidHom.map_finsum
@[to_additive]
theorem finprod_pow (hf : (mulSupport f).Finite) (n : ℕ) : (∏ᶠ i, f i) ^ n = ∏ᶠ i, f i ^ n :=
(powMonoidHom n).map_finprod hf
#align finprod_pow finprod_pow
#align finsum_nsmul finsum_nsmul
/-- See also `finsum_smul` for a version that works even when the support of `f` is not finite,
but with slightly stronger typeclass requirements. -/
theorem finsum_smul' {R M : Type*} [Semiring R] [AddCommMonoid M] [Module R M] {f : ι → R}
(hf : (support f).Finite) (x : M) : (∑ᶠ i, f i) • x = ∑ᶠ i, f i • x :=
((smulAddHom R M).flip x).map_finsum hf
/-- See also `smul_finsum` for a version that works even when the support of `f` is not finite,
but with slightly stronger typeclass requirements. -/
theorem smul_finsum' {R M : Type*} [Semiring R] [AddCommMonoid M] [Module R M] (c : R) {f : ι → M}
(hf : (support f).Finite) : (c • ∑ᶠ i, f i) = ∑ᶠ i, c • f i :=
(smulAddHom R M c).map_finsum hf
/-- A more general version of `MonoidHom.map_finprod_mem` that requires `s ∩ mulSupport f` rather
than `s` to be finite. -/
@[to_additive
"A more general version of `AddMonoidHom.map_finsum_mem` that requires
`s ∩ support f` rather than `s` to be finite."]
theorem MonoidHom.map_finprod_mem' {f : α → M} (g : M →* N) (h₀ : (s ∩ mulSupport f).Finite) :
g (∏ᶠ j ∈ s, f j) = ∏ᶠ i ∈ s, g (f i) := by
rw [g.map_finprod]
· simp only [g.map_finprod_Prop]
· simpa only [finprod_eq_mulIndicator_apply, mulSupport_mulIndicator]
#align monoid_hom.map_finprod_mem' MonoidHom.map_finprod_mem'
#align add_monoid_hom.map_finsum_mem' AddMonoidHom.map_finsum_mem'
/-- Given a monoid homomorphism `g : M →* N` and a function `f : α → M`, the value of `g` at the
product of `f i` over `i ∈ s` equals the product of `g (f i)` over `s`. -/
@[to_additive
"Given an additive monoid homomorphism `g : M →* N` and a function `f : α → M`, the
value of `g` at the sum of `f i` over `i ∈ s` equals the sum of `g (f i)` over `s`."]
theorem MonoidHom.map_finprod_mem (f : α → M) (g : M →* N) (hs : s.Finite) :
g (∏ᶠ j ∈ s, f j) = ∏ᶠ i ∈ s, g (f i) :=
g.map_finprod_mem' (hs.inter_of_left _)
#align monoid_hom.map_finprod_mem MonoidHom.map_finprod_mem
#align add_monoid_hom.map_finsum_mem AddMonoidHom.map_finsum_mem
@[to_additive]
theorem MulEquiv.map_finprod_mem (g : M ≃* N) (f : α → M) {s : Set α} (hs : s.Finite) :
g (∏ᶠ i ∈ s, f i) = ∏ᶠ i ∈ s, g (f i) :=
g.toMonoidHom.map_finprod_mem f hs
#align mul_equiv.map_finprod_mem MulEquiv.map_finprod_mem
#align add_equiv.map_finsum_mem AddEquiv.map_finsum_mem
@[to_additive]
theorem finprod_mem_inv_distrib [DivisionCommMonoid G] (f : α → G) (hs : s.Finite) :
(∏ᶠ x ∈ s, (f x)⁻¹) = (∏ᶠ x ∈ s, f x)⁻¹ :=
((MulEquiv.inv G).map_finprod_mem f hs).symm
#align finprod_mem_inv_distrib finprod_mem_inv_distrib
#align finsum_mem_neg_distrib finsum_mem_neg_distrib
/-- Given a finite set `s`, the product of `f i / g i` over `i ∈ s` equals the product of `f i`
over `i ∈ s` divided by the product of `g i` over `i ∈ s`. -/
@[to_additive
"Given a finite set `s`, the sum of `f i / g i` over `i ∈ s` equals the sum of `f i`
over `i ∈ s` minus the sum of `g i` over `i ∈ s`."]
theorem finprod_mem_div_distrib [DivisionCommMonoid G] (f g : α → G) (hs : s.Finite) :
∏ᶠ i ∈ s, f i / g i = (∏ᶠ i ∈ s, f i) / ∏ᶠ i ∈ s, g i := by
simp only [div_eq_mul_inv, finprod_mem_mul_distrib hs, finprod_mem_inv_distrib g hs]
#align finprod_mem_div_distrib finprod_mem_div_distrib
#align finsum_mem_sub_distrib finsum_mem_sub_distrib
/-!
### `∏ᶠ x ∈ s, f x` and set operations
-/
/-- The product of any function over an empty set is `1`. -/
@[to_additive "The sum of any function over an empty set is `0`."]
theorem finprod_mem_empty : (∏ᶠ i ∈ (∅ : Set α), f i) = 1 := by simp
#align finprod_mem_empty finprod_mem_empty
#align finsum_mem_empty finsum_mem_empty
/-- A set `s` is nonempty if the product of some function over `s` is not equal to `1`. -/
@[to_additive "A set `s` is nonempty if the sum of some function over `s` is not equal to `0`."]
theorem nonempty_of_finprod_mem_ne_one (h : ∏ᶠ i ∈ s, f i ≠ 1) : s.Nonempty :=
nonempty_iff_ne_empty.2 fun h' => h <| h'.symm ▸ finprod_mem_empty
#align nonempty_of_finprod_mem_ne_one nonempty_of_finprod_mem_ne_one
#align nonempty_of_finsum_mem_ne_zero nonempty_of_finsum_mem_ne_zero
/-- Given finite sets `s` and `t`, the product of `f i` over `i ∈ s ∪ t` times the product of
`f i` over `i ∈ s ∩ t` equals the product of `f i` over `i ∈ s` times the product of `f i`
over `i ∈ t`. -/
@[to_additive
"Given finite sets `s` and `t`, the sum of `f i` over `i ∈ s ∪ t` plus the sum of
`f i` over `i ∈ s ∩ t` equals the sum of `f i` over `i ∈ s` plus the sum of `f i`
over `i ∈ t`."]
theorem finprod_mem_union_inter (hs : s.Finite) (ht : t.Finite) :
((∏ᶠ i ∈ s ∪ t, f i) * ∏ᶠ i ∈ s ∩ t, f i) = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i := by
lift s to Finset α using hs; lift t to Finset α using ht
classical
rw [← Finset.coe_union, ← Finset.coe_inter]
simp only [finprod_mem_coe_finset, Finset.prod_union_inter]
#align finprod_mem_union_inter finprod_mem_union_inter
#align finsum_mem_union_inter finsum_mem_union_inter
/-- A more general version of `finprod_mem_union_inter` that requires `s ∩ mulSupport f` and
`t ∩ mulSupport f` rather than `s` and `t` to be finite. -/
@[to_additive
"A more general version of `finsum_mem_union_inter` that requires `s ∩ support f` and
`t ∩ support f` rather than `s` and `t` to be finite."]
theorem finprod_mem_union_inter' (hs : (s ∩ mulSupport f).Finite) (ht : (t ∩ mulSupport f).Finite) :
((∏ᶠ i ∈ s ∪ t, f i) * ∏ᶠ i ∈ s ∩ t, f i) = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i := by
rw [← finprod_mem_inter_mulSupport f s, ← finprod_mem_inter_mulSupport f t, ←
finprod_mem_union_inter hs ht, ← union_inter_distrib_right, finprod_mem_inter_mulSupport, ←
finprod_mem_inter_mulSupport f (s ∩ t)]
congr 2
rw [inter_left_comm, inter_assoc, inter_assoc, inter_self, inter_left_comm]
#align finprod_mem_union_inter' finprod_mem_union_inter'
#align finsum_mem_union_inter' finsum_mem_union_inter'
/-- A more general version of `finprod_mem_union` that requires `s ∩ mulSupport f` and
`t ∩ mulSupport f` rather than `s` and `t` to be finite. -/
@[to_additive
"A more general version of `finsum_mem_union` that requires `s ∩ support f` and
`t ∩ support f` rather than `s` and `t` to be finite."]
theorem finprod_mem_union' (hst : Disjoint s t) (hs : (s ∩ mulSupport f).Finite)
(ht : (t ∩ mulSupport f).Finite) : ∏ᶠ i ∈ s ∪ t, f i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i := by
rw [← finprod_mem_union_inter' hs ht, disjoint_iff_inter_eq_empty.1 hst, finprod_mem_empty,
mul_one]
#align finprod_mem_union' finprod_mem_union'
#align finsum_mem_union' finsum_mem_union'
/-- Given two finite disjoint sets `s` and `t`, the product of `f i` over `i ∈ s ∪ t` equals the
product of `f i` over `i ∈ s` times the product of `f i` over `i ∈ t`. -/
@[to_additive
"Given two finite disjoint sets `s` and `t`, the sum of `f i` over `i ∈ s ∪ t` equals
the sum of `f i` over `i ∈ s` plus the sum of `f i` over `i ∈ t`."]
theorem finprod_mem_union (hst : Disjoint s t) (hs : s.Finite) (ht : t.Finite) :
∏ᶠ i ∈ s ∪ t, f i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i :=
finprod_mem_union' hst (hs.inter_of_left _) (ht.inter_of_left _)
#align finprod_mem_union finprod_mem_union
#align finsum_mem_union finsum_mem_union
/-- A more general version of `finprod_mem_union'` that requires `s ∩ mulSupport f` and
`t ∩ mulSupport f` rather than `s` and `t` to be disjoint -/
@[to_additive
"A more general version of `finsum_mem_union'` that requires `s ∩ support f` and
`t ∩ support f` rather than `s` and `t` to be disjoint"]
theorem finprod_mem_union'' (hst : Disjoint (s ∩ mulSupport f) (t ∩ mulSupport f))
(hs : (s ∩ mulSupport f).Finite) (ht : (t ∩ mulSupport f).Finite) :
∏ᶠ i ∈ s ∪ t, f i = (∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t, f i := by
rw [← finprod_mem_inter_mulSupport f s, ← finprod_mem_inter_mulSupport f t, ←
finprod_mem_union hst hs ht, ← union_inter_distrib_right, finprod_mem_inter_mulSupport]
#align finprod_mem_union'' finprod_mem_union''
#align finsum_mem_union'' finsum_mem_union''
/-- The product of `f i` over `i ∈ {a}` equals `f a`. -/
@[to_additive "The sum of `f i` over `i ∈ {a}` equals `f a`."]
theorem finprod_mem_singleton : (∏ᶠ i ∈ ({a} : Set α), f i) = f a := by
rw [← Finset.coe_singleton, finprod_mem_coe_finset, Finset.prod_singleton]
#align finprod_mem_singleton finprod_mem_singleton
#align finsum_mem_singleton finsum_mem_singleton
@[to_additive (attr := simp)]
theorem finprod_cond_eq_left : (∏ᶠ (i) (_ : i = a), f i) = f a :=
finprod_mem_singleton
#align finprod_cond_eq_left finprod_cond_eq_left
#align finsum_cond_eq_left finsum_cond_eq_left
@[to_additive (attr := simp)]
theorem finprod_cond_eq_right : (∏ᶠ (i) (_ : a = i), f i) = f a := by simp [@eq_comm _ a]
#align finprod_cond_eq_right finprod_cond_eq_right
#align finsum_cond_eq_right finsum_cond_eq_right
/-- A more general version of `finprod_mem_insert` that requires `s ∩ mulSupport f` rather than `s`
to be finite. -/
@[to_additive
"A more general version of `finsum_mem_insert` that requires `s ∩ support f` rather
than `s` to be finite."]
theorem finprod_mem_insert' (f : α → M) (h : a ∉ s) (hs : (s ∩ mulSupport f).Finite) :
∏ᶠ i ∈ insert a s, f i = f a * ∏ᶠ i ∈ s, f i := by
rw [insert_eq, finprod_mem_union' _ _ hs, finprod_mem_singleton]
· rwa [disjoint_singleton_left]
· exact (finite_singleton a).inter_of_left _
#align finprod_mem_insert' finprod_mem_insert'
#align finsum_mem_insert' finsum_mem_insert'
/-- Given a finite set `s` and an element `a ∉ s`, the product of `f i` over `i ∈ insert a s` equals
`f a` times the product of `f i` over `i ∈ s`. -/
@[to_additive
"Given a finite set `s` and an element `a ∉ s`, the sum of `f i` over `i ∈ insert a s`
equals `f a` plus the sum of `f i` over `i ∈ s`."]
theorem finprod_mem_insert (f : α → M) (h : a ∉ s) (hs : s.Finite) :
∏ᶠ i ∈ insert a s, f i = f a * ∏ᶠ i ∈ s, f i :=
finprod_mem_insert' f h <| hs.inter_of_left _
#align finprod_mem_insert finprod_mem_insert
#align finsum_mem_insert finsum_mem_insert
/-- If `f a = 1` when `a ∉ s`, then the product of `f i` over `i ∈ insert a s` equals the product of
`f i` over `i ∈ s`. -/
@[to_additive
"If `f a = 0` when `a ∉ s`, then the sum of `f i` over `i ∈ insert a s` equals the sum
of `f i` over `i ∈ s`."]
theorem finprod_mem_insert_of_eq_one_if_not_mem (h : a ∉ s → f a = 1) :
∏ᶠ i ∈ insert a s, f i = ∏ᶠ i ∈ s, f i := by
refine finprod_mem_inter_mulSupport_eq' _ _ _ fun x hx => ⟨?_, Or.inr⟩
rintro (rfl | hxs)
exacts [not_imp_comm.1 h hx, hxs]
#align finprod_mem_insert_of_eq_one_if_not_mem finprod_mem_insert_of_eq_one_if_not_mem
#align finsum_mem_insert_of_eq_zero_if_not_mem finsum_mem_insert_of_eq_zero_if_not_mem
/-- If `f a = 1`, then the product of `f i` over `i ∈ insert a s` equals the product of `f i` over
`i ∈ s`. -/
@[to_additive
"If `f a = 0`, then the sum of `f i` over `i ∈ insert a s` equals the sum of `f i`
over `i ∈ s`."]
theorem finprod_mem_insert_one (h : f a = 1) : ∏ᶠ i ∈ insert a s, f i = ∏ᶠ i ∈ s, f i :=
finprod_mem_insert_of_eq_one_if_not_mem fun _ => h
#align finprod_mem_insert_one finprod_mem_insert_one
#align finsum_mem_insert_zero finsum_mem_insert_zero
/-- If the multiplicative support of `f` is finite, then for every `x` in the domain of `f`, `f x`
divides `finprod f`. -/
theorem finprod_mem_dvd {f : α → N} (a : α) (hf : (mulSupport f).Finite) : f a ∣ finprod f := by
by_cases ha : a ∈ mulSupport f
· rw [finprod_eq_prod_of_mulSupport_toFinset_subset f hf (Set.Subset.refl _)]
exact Finset.dvd_prod_of_mem f ((Finite.mem_toFinset hf).mpr ha)
· rw [nmem_mulSupport.mp ha]
exact one_dvd (finprod f)
#align finprod_mem_dvd finprod_mem_dvd
/-- The product of `f i` over `i ∈ {a, b}`, `a ≠ b`, is equal to `f a * f b`. -/
@[to_additive "The sum of `f i` over `i ∈ {a, b}`, `a ≠ b`, is equal to `f a + f b`."]
theorem finprod_mem_pair (h : a ≠ b) : (∏ᶠ i ∈ ({a, b} : Set α), f i) = f a * f b := by
rw [finprod_mem_insert, finprod_mem_singleton]
exacts [h, finite_singleton b]
#align finprod_mem_pair finprod_mem_pair
#align finsum_mem_pair finsum_mem_pair
/-- The product of `f y` over `y ∈ g '' s` equals the product of `f (g i)` over `s`
provided that `g` is injective on `s ∩ mulSupport (f ∘ g)`. -/
@[to_additive
"The sum of `f y` over `y ∈ g '' s` equals the sum of `f (g i)` over `s` provided that
`g` is injective on `s ∩ support (f ∘ g)`."]
theorem finprod_mem_image' {s : Set β} {g : β → α} (hg : (s ∩ mulSupport (f ∘ g)).InjOn g) :
∏ᶠ i ∈ g '' s, f i = ∏ᶠ j ∈ s, f (g j) := by
classical
by_cases hs : (s ∩ mulSupport (f ∘ g)).Finite
· have hg : ∀ x ∈ hs.toFinset, ∀ y ∈ hs.toFinset, g x = g y → x = y := by
simpa only [hs.mem_toFinset]
have := finprod_mem_eq_prod (comp f g) hs
unfold Function.comp at this
rw [this, ← Finset.prod_image hg]
refine finprod_mem_eq_prod_of_inter_mulSupport_eq f ?_
rw [Finset.coe_image, hs.coe_toFinset, ← image_inter_mulSupport_eq, inter_assoc, inter_self]
· unfold Function.comp at hs
rw [finprod_mem_eq_one_of_infinite hs, finprod_mem_eq_one_of_infinite]
rwa [image_inter_mulSupport_eq, infinite_image_iff hg]
#align finprod_mem_image' finprod_mem_image'
#align finsum_mem_image' finsum_mem_image'
/-- The product of `f y` over `y ∈ g '' s` equals the product of `f (g i)` over `s` provided that
`g` is injective on `s`. -/
@[to_additive
"The sum of `f y` over `y ∈ g '' s` equals the sum of `f (g i)` over `s` provided that
`g` is injective on `s`."]
theorem finprod_mem_image {s : Set β} {g : β → α} (hg : s.InjOn g) :
∏ᶠ i ∈ g '' s, f i = ∏ᶠ j ∈ s, f (g j) :=
finprod_mem_image' <| hg.mono inter_subset_left
#align finprod_mem_image finprod_mem_image
#align finsum_mem_image finsum_mem_image
/-- The product of `f y` over `y ∈ Set.range g` equals the product of `f (g i)` over all `i`
provided that `g` is injective on `mulSupport (f ∘ g)`. -/
@[to_additive
"The sum of `f y` over `y ∈ Set.range g` equals the sum of `f (g i)` over all `i`
provided that `g` is injective on `support (f ∘ g)`."]
theorem finprod_mem_range' {g : β → α} (hg : (mulSupport (f ∘ g)).InjOn g) :
∏ᶠ i ∈ range g, f i = ∏ᶠ j, f (g j) := by
rw [← image_univ, finprod_mem_image', finprod_mem_univ]
rwa [univ_inter]
#align finprod_mem_range' finprod_mem_range'
#align finsum_mem_range' finsum_mem_range'
/-- The product of `f y` over `y ∈ Set.range g` equals the product of `f (g i)` over all `i`
provided that `g` is injective. -/
@[to_additive
"The sum of `f y` over `y ∈ Set.range g` equals the sum of `f (g i)` over all `i`
provided that `g` is injective."]
theorem finprod_mem_range {g : β → α} (hg : Injective g) : ∏ᶠ i ∈ range g, f i = ∏ᶠ j, f (g j) :=
finprod_mem_range' hg.injOn
#align finprod_mem_range finprod_mem_range
#align finsum_mem_range finsum_mem_range
/-- See also `Finset.prod_bij`. -/
@[to_additive "See also `Finset.sum_bij`."]
theorem finprod_mem_eq_of_bijOn {s : Set α} {t : Set β} {f : α → M} {g : β → M} (e : α → β)
(he₀ : s.BijOn e t) (he₁ : ∀ x ∈ s, f x = g (e x)) : ∏ᶠ i ∈ s, f i = ∏ᶠ j ∈ t, g j := by
rw [← Set.BijOn.image_eq he₀, finprod_mem_image he₀.2.1]
exact finprod_mem_congr rfl he₁
#align finprod_mem_eq_of_bij_on finprod_mem_eq_of_bijOn
#align finsum_mem_eq_of_bij_on finsum_mem_eq_of_bijOn
/-- See `finprod_comp`, `Fintype.prod_bijective` and `Finset.prod_bij`. -/
@[to_additive "See `finsum_comp`, `Fintype.sum_bijective` and `Finset.sum_bij`."]
theorem finprod_eq_of_bijective {f : α → M} {g : β → M} (e : α → β) (he₀ : Bijective e)
(he₁ : ∀ x, f x = g (e x)) : ∏ᶠ i, f i = ∏ᶠ j, g j := by
rw [← finprod_mem_univ f, ← finprod_mem_univ g]
exact finprod_mem_eq_of_bijOn _ (bijective_iff_bijOn_univ.mp he₀) fun x _ => he₁ x
#align finprod_eq_of_bijective finprod_eq_of_bijective
#align finsum_eq_of_bijective finsum_eq_of_bijective
/-- See also `finprod_eq_of_bijective`, `Fintype.prod_bijective` and `Finset.prod_bij`. -/
@[to_additive "See also `finsum_eq_of_bijective`, `Fintype.sum_bijective` and `Finset.sum_bij`."]
theorem finprod_comp {g : β → M} (e : α → β) (he₀ : Function.Bijective e) :
(∏ᶠ i, g (e i)) = ∏ᶠ j, g j :=
finprod_eq_of_bijective e he₀ fun _ => rfl
#align finprod_comp finprod_comp
#align finsum_comp finsum_comp
@[to_additive]
theorem finprod_comp_equiv (e : α ≃ β) {f : β → M} : (∏ᶠ i, f (e i)) = ∏ᶠ i', f i' :=
finprod_comp e e.bijective
#align finprod_comp_equiv finprod_comp_equiv
#align finsum_comp_equiv finsum_comp_equiv
@[to_additive]
theorem finprod_set_coe_eq_finprod_mem (s : Set α) : ∏ᶠ j : s, f j = ∏ᶠ i ∈ s, f i := by
rw [← finprod_mem_range, Subtype.range_coe]
exact Subtype.coe_injective
#align finprod_set_coe_eq_finprod_mem finprod_set_coe_eq_finprod_mem
#align finsum_set_coe_eq_finsum_mem finsum_set_coe_eq_finsum_mem
@[to_additive]
theorem finprod_subtype_eq_finprod_cond (p : α → Prop) :
∏ᶠ j : Subtype p, f j = ∏ᶠ (i) (_ : p i), f i :=
finprod_set_coe_eq_finprod_mem { i | p i }
#align finprod_subtype_eq_finprod_cond finprod_subtype_eq_finprod_cond
#align finsum_subtype_eq_finsum_cond finsum_subtype_eq_finsum_cond
@[to_additive]
theorem finprod_mem_inter_mul_diff' (t : Set α) (h : (s ∩ mulSupport f).Finite) :
((∏ᶠ i ∈ s ∩ t, f i) * ∏ᶠ i ∈ s \ t, f i) = ∏ᶠ i ∈ s, f i := by
rw [← finprod_mem_union', inter_union_diff]
· rw [disjoint_iff_inf_le]
exact fun x hx => hx.2.2 hx.1.2
exacts [h.subset fun x hx => ⟨hx.1.1, hx.2⟩, h.subset fun x hx => ⟨hx.1.1, hx.2⟩]
#align finprod_mem_inter_mul_diff' finprod_mem_inter_mul_diff'
#align finsum_mem_inter_add_diff' finsum_mem_inter_add_diff'
@[to_additive]
theorem finprod_mem_inter_mul_diff (t : Set α) (h : s.Finite) :
((∏ᶠ i ∈ s ∩ t, f i) * ∏ᶠ i ∈ s \ t, f i) = ∏ᶠ i ∈ s, f i :=
finprod_mem_inter_mul_diff' _ <| h.inter_of_left _
#align finprod_mem_inter_mul_diff finprod_mem_inter_mul_diff
#align finsum_mem_inter_add_diff finsum_mem_inter_add_diff
/-- A more general version of `finprod_mem_mul_diff` that requires `t ∩ mulSupport f` rather than
`t` to be finite. -/
@[to_additive
"A more general version of `finsum_mem_add_diff` that requires `t ∩ support f` rather
than `t` to be finite."]
theorem finprod_mem_mul_diff' (hst : s ⊆ t) (ht : (t ∩ mulSupport f).Finite) :
((∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t \ s, f i) = ∏ᶠ i ∈ t, f i := by
rw [← finprod_mem_inter_mul_diff' _ ht, inter_eq_self_of_subset_right hst]
#align finprod_mem_mul_diff' finprod_mem_mul_diff'
#align finsum_mem_add_diff' finsum_mem_add_diff'
/-- Given a finite set `t` and a subset `s` of `t`, the product of `f i` over `i ∈ s`
times the product of `f i` over `t \ s` equals the product of `f i` over `i ∈ t`. -/
@[to_additive
"Given a finite set `t` and a subset `s` of `t`, the sum of `f i` over `i ∈ s` plus
the sum of `f i` over `t \\ s` equals the sum of `f i` over `i ∈ t`."]
theorem finprod_mem_mul_diff (hst : s ⊆ t) (ht : t.Finite) :
((∏ᶠ i ∈ s, f i) * ∏ᶠ i ∈ t \ s, f i) = ∏ᶠ i ∈ t, f i :=
finprod_mem_mul_diff' hst (ht.inter_of_left _)
#align finprod_mem_mul_diff finprod_mem_mul_diff
#align finsum_mem_add_diff finsum_mem_add_diff
/-- Given a family of pairwise disjoint finite sets `t i` indexed by a finite type, the product of
`f a` over the union `⋃ i, t i` is equal to the product over all indexes `i` of the products of
`f a` over `a ∈ t i`. -/
@[to_additive
"Given a family of pairwise disjoint finite sets `t i` indexed by a finite type, the
sum of `f a` over the union `⋃ i, t i` is equal to the sum over all indexes `i` of the
sums of `f a` over `a ∈ t i`."]
| Mathlib/Algebra/BigOperators/Finprod.lean | 1,075 | 1,083 | theorem finprod_mem_iUnion [Finite ι] {t : ι → Set α} (h : Pairwise (Disjoint on t))
(ht : ∀ i, (t i).Finite) : ∏ᶠ a ∈ ⋃ i : ι, t i, f a = ∏ᶠ i, ∏ᶠ a ∈ t i, f a := by |
cases nonempty_fintype ι
lift t to ι → Finset α using ht
classical
rw [← biUnion_univ, ← Finset.coe_univ, ← Finset.coe_biUnion, finprod_mem_coe_finset,
Finset.prod_biUnion]
· simp only [finprod_mem_coe_finset, finprod_eq_prod_of_fintype]
· exact fun x _ y _ hxy => Finset.disjoint_coe.1 (h hxy)
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yaël Dillies
-/
import Mathlib.Data.Set.Image
#align_import order.directed from "leanprover-community/mathlib"@"ffde2d8a6e689149e44fd95fa862c23a57f8c780"
/-!
# Directed indexed families and sets
This file defines directed indexed families and directed sets. An indexed family/set is
directed iff each pair of elements has a shared upper bound.
## Main declarations
* `Directed r f`: Predicate stating that the indexed family `f` is `r`-directed.
* `DirectedOn r s`: Predicate stating that the set `s` is `r`-directed.
* `IsDirected α r`: Prop-valued mixin stating that `α` is `r`-directed. Follows the style of the
unbundled relation classes such as `IsTotal`.
* `ScottContinuous`: Predicate stating that a function between preorders preserves `IsLUB` on
directed sets.
## TODO
Define connected orders (the transitive symmetric closure of `≤` is everything) and show that
(co)directed orders are connected.
## References
* [Gierz et al, *A Compendium of Continuous Lattices*][GierzEtAl1980]
-/
open Function
universe u v w
variable {α : Type u} {β : Type v} {ι : Sort w} (r r' s : α → α → Prop)
/-- Local notation for a relation -/
local infixl:50 " ≼ " => r
/-- A family of elements of α is directed (with respect to a relation `≼` on α)
if there is a member of the family `≼`-above any pair in the family. -/
def Directed (f : ι → α) :=
∀ x y, ∃ z, f x ≼ f z ∧ f y ≼ f z
#align directed Directed
/-- A subset of α is directed if there is an element of the set `≼`-above any
pair of elements in the set. -/
def DirectedOn (s : Set α) :=
∀ x ∈ s, ∀ y ∈ s, ∃ z ∈ s, x ≼ z ∧ y ≼ z
#align directed_on DirectedOn
variable {r r'}
theorem directedOn_iff_directed {s} : @DirectedOn α r s ↔ Directed r (Subtype.val : s → α) := by
simp only [DirectedOn, Directed, Subtype.exists, exists_and_left, exists_prop, Subtype.forall]
exact forall₂_congr fun x _ => by simp [And.comm, and_assoc]
#align directed_on_iff_directed directedOn_iff_directed
alias ⟨DirectedOn.directed_val, _⟩ := directedOn_iff_directed
#align directed_on.directed_coe DirectedOn.directed_val
theorem directedOn_range {f : ι → α} : Directed r f ↔ DirectedOn r (Set.range f) := by
simp_rw [Directed, DirectedOn, Set.forall_mem_range, Set.exists_range_iff]
#align directed_on_range directedOn_range
-- Porting note: This alias was misplaced in `order/compactly_generated.lean` in mathlib3
alias ⟨Directed.directedOn_range, _⟩ := directedOn_range
#align directed.directed_on_range Directed.directedOn_range
-- Porting note: `attribute [protected]` doesn't work
-- attribute [protected] Directed.directedOn_range
theorem directedOn_image {s : Set β} {f : β → α} :
DirectedOn r (f '' s) ↔ DirectedOn (f ⁻¹'o r) s := by
simp only [DirectedOn, Set.mem_image, exists_exists_and_eq_and, forall_exists_index, and_imp,
forall_apply_eq_imp_iff₂, Order.Preimage]
#align directed_on_image directedOn_image
theorem DirectedOn.mono' {s : Set α} (hs : DirectedOn r s)
(h : ∀ ⦃a⦄, a ∈ s → ∀ ⦃b⦄, b ∈ s → r a b → r' a b) : DirectedOn r' s := fun _ hx _ hy =>
let ⟨z, hz, hxz, hyz⟩ := hs _ hx _ hy
⟨z, hz, h hx hz hxz, h hy hz hyz⟩
#align directed_on.mono' DirectedOn.mono'
theorem DirectedOn.mono {s : Set α} (h : DirectedOn r s) (H : ∀ ⦃a b⦄, r a b → r' a b) :
DirectedOn r' s :=
h.mono' fun _ _ _ _ h ↦ H h
#align directed_on.mono DirectedOn.mono
theorem directed_comp {ι} {f : ι → β} {g : β → α} : Directed r (g ∘ f) ↔ Directed (g ⁻¹'o r) f :=
Iff.rfl
#align directed_comp directed_comp
theorem Directed.mono {s : α → α → Prop} {ι} {f : ι → α} (H : ∀ a b, r a b → s a b)
(h : Directed r f) : Directed s f := fun a b =>
let ⟨c, h₁, h₂⟩ := h a b
⟨c, H _ _ h₁, H _ _ h₂⟩
#align directed.mono Directed.mono
-- Porting note: due to some interaction with the local notation, `r` became explicit here in lean3
theorem Directed.mono_comp (r : α → α → Prop) {ι} {rb : β → β → Prop} {g : α → β} {f : ι → α}
(hg : ∀ ⦃x y⦄, r x y → rb (g x) (g y)) (hf : Directed r f) : Directed rb (g ∘ f) :=
directed_comp.2 <| hf.mono hg
#align directed.mono_comp Directed.mono_comp
/-- A set stable by supremum is `≤`-directed. -/
theorem directedOn_of_sup_mem [SemilatticeSup α] {S : Set α}
(H : ∀ ⦃i j⦄, i ∈ S → j ∈ S → i ⊔ j ∈ S) : DirectedOn (· ≤ ·) S := fun a ha b hb =>
⟨a ⊔ b, H ha hb, le_sup_left, le_sup_right⟩
#align directed_on_of_sup_mem directedOn_of_sup_mem
| Mathlib/Order/Directed.lean | 116 | 128 | theorem Directed.extend_bot [Preorder α] [OrderBot α] {e : ι → β} {f : ι → α}
(hf : Directed (· ≤ ·) f) (he : Function.Injective e) :
Directed (· ≤ ·) (Function.extend e f ⊥) := by |
intro a b
rcases (em (∃ i, e i = a)).symm with (ha | ⟨i, rfl⟩)
· use b
simp [Function.extend_apply' _ _ _ ha]
rcases (em (∃ i, e i = b)).symm with (hb | ⟨j, rfl⟩)
· use e i
simp [Function.extend_apply' _ _ _ hb]
rcases hf i j with ⟨k, hi, hj⟩
use e k
simp only [he.extend_apply, *, true_and_iff]
|
/-
Copyright (c) 2022 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying
-/
import Mathlib.MeasureTheory.Function.ConvergenceInMeasure
import Mathlib.MeasureTheory.Function.L1Space
#align_import measure_theory.function.uniform_integrable from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2"
/-!
# Uniform integrability
This file contains the definitions for uniform integrability (both in the measure theory sense
as well as the probability theory sense). This file also contains the Vitali convergence theorem
which establishes a relation between uniform integrability, convergence in measure and
Lp convergence.
Uniform integrability plays a vital role in the theory of martingales most notably is used to
formulate the martingale convergence theorem.
## Main definitions
* `MeasureTheory.UnifIntegrable`: uniform integrability in the measure theory sense.
In particular, a sequence of functions `f` is uniformly integrable if for all `ε > 0`, there
exists some `δ > 0` such that for all sets `s` of smaller measure than `δ`, the Lp-norm of
`f i` restricted `s` is smaller than `ε` for all `i`.
* `MeasureTheory.UniformIntegrable`: uniform integrability in the probability theory sense.
In particular, a sequence of measurable functions `f` is uniformly integrable in the
probability theory sense if it is uniformly integrable in the measure theory sense and
has uniformly bounded Lp-norm.
# Main results
* `MeasureTheory.unifIntegrable_finite`: a finite sequence of Lp functions is uniformly
integrable.
* `MeasureTheory.tendsto_Lp_of_tendsto_ae`: a sequence of Lp functions which is uniformly
integrable converges in Lp if they converge almost everywhere.
* `MeasureTheory.tendstoInMeasure_iff_tendsto_Lp`: Vitali convergence theorem:
a sequence of Lp functions converges in Lp if and only if it is uniformly integrable
and converges in measure.
## Tags
uniform integrable, uniformly absolutely continuous integral, Vitali convergence theorem
-/
noncomputable section
open scoped Classical MeasureTheory NNReal ENNReal Topology
namespace MeasureTheory
open Set Filter TopologicalSpace
variable {α β ι : Type*} {m : MeasurableSpace α} {μ : Measure α} [NormedAddCommGroup β]
/-- Uniform integrability in the measure theory sense.
A sequence of functions `f` is said to be uniformly integrable if for all `ε > 0`, there exists
some `δ > 0` such that for all sets `s` with measure less than `δ`, the Lp-norm of `f i`
restricted on `s` is less than `ε`.
Uniform integrability is also known as uniformly absolutely continuous integrals. -/
def UnifIntegrable {_ : MeasurableSpace α} (f : ι → α → β) (p : ℝ≥0∞) (μ : Measure α) : Prop :=
∀ ⦃ε : ℝ⦄ (_ : 0 < ε), ∃ (δ : ℝ) (_ : 0 < δ), ∀ i s,
MeasurableSet s → μ s ≤ ENNReal.ofReal δ → snorm (s.indicator (f i)) p μ ≤ ENNReal.ofReal ε
#align measure_theory.unif_integrable MeasureTheory.UnifIntegrable
/-- In probability theory, a family of measurable functions is uniformly integrable if it is
uniformly integrable in the measure theory sense and is uniformly bounded. -/
def UniformIntegrable {_ : MeasurableSpace α} (f : ι → α → β) (p : ℝ≥0∞) (μ : Measure α) : Prop :=
(∀ i, AEStronglyMeasurable (f i) μ) ∧ UnifIntegrable f p μ ∧ ∃ C : ℝ≥0, ∀ i, snorm (f i) p μ ≤ C
#align measure_theory.uniform_integrable MeasureTheory.UniformIntegrable
namespace UniformIntegrable
protected theorem aeStronglyMeasurable {f : ι → α → β} {p : ℝ≥0∞} (hf : UniformIntegrable f p μ)
(i : ι) : AEStronglyMeasurable (f i) μ :=
hf.1 i
#align measure_theory.uniform_integrable.ae_strongly_measurable MeasureTheory.UniformIntegrable.aeStronglyMeasurable
protected theorem unifIntegrable {f : ι → α → β} {p : ℝ≥0∞} (hf : UniformIntegrable f p μ) :
UnifIntegrable f p μ :=
hf.2.1
#align measure_theory.uniform_integrable.unif_integrable MeasureTheory.UniformIntegrable.unifIntegrable
protected theorem memℒp {f : ι → α → β} {p : ℝ≥0∞} (hf : UniformIntegrable f p μ) (i : ι) :
Memℒp (f i) p μ :=
⟨hf.1 i,
let ⟨_, _, hC⟩ := hf.2
lt_of_le_of_lt (hC i) ENNReal.coe_lt_top⟩
#align measure_theory.uniform_integrable.mem_ℒp MeasureTheory.UniformIntegrable.memℒp
end UniformIntegrable
section UnifIntegrable
/-! ### `UnifIntegrable`
This section deals with uniform integrability in the measure theory sense. -/
namespace UnifIntegrable
variable {f g : ι → α → β} {p : ℝ≥0∞}
protected theorem add (hf : UnifIntegrable f p μ) (hg : UnifIntegrable g p μ) (hp : 1 ≤ p)
(hf_meas : ∀ i, AEStronglyMeasurable (f i) μ) (hg_meas : ∀ i, AEStronglyMeasurable (g i) μ) :
UnifIntegrable (f + g) p μ := by
intro ε hε
have hε2 : 0 < ε / 2 := half_pos hε
obtain ⟨δ₁, hδ₁_pos, hfδ₁⟩ := hf hε2
obtain ⟨δ₂, hδ₂_pos, hgδ₂⟩ := hg hε2
refine ⟨min δ₁ δ₂, lt_min hδ₁_pos hδ₂_pos, fun i s hs hμs => ?_⟩
simp_rw [Pi.add_apply, Set.indicator_add']
refine (snorm_add_le ((hf_meas i).indicator hs) ((hg_meas i).indicator hs) hp).trans ?_
have hε_halves : ENNReal.ofReal ε = ENNReal.ofReal (ε / 2) + ENNReal.ofReal (ε / 2) := by
rw [← ENNReal.ofReal_add hε2.le hε2.le, add_halves]
rw [hε_halves]
exact add_le_add (hfδ₁ i s hs (hμs.trans (ENNReal.ofReal_le_ofReal (min_le_left _ _))))
(hgδ₂ i s hs (hμs.trans (ENNReal.ofReal_le_ofReal (min_le_right _ _))))
#align measure_theory.unif_integrable.add MeasureTheory.UnifIntegrable.add
protected theorem neg (hf : UnifIntegrable f p μ) : UnifIntegrable (-f) p μ := by
simp_rw [UnifIntegrable, Pi.neg_apply, Set.indicator_neg', snorm_neg]
exact hf
#align measure_theory.unif_integrable.neg MeasureTheory.UnifIntegrable.neg
protected theorem sub (hf : UnifIntegrable f p μ) (hg : UnifIntegrable g p μ) (hp : 1 ≤ p)
(hf_meas : ∀ i, AEStronglyMeasurable (f i) μ) (hg_meas : ∀ i, AEStronglyMeasurable (g i) μ) :
UnifIntegrable (f - g) p μ := by
rw [sub_eq_add_neg]
exact hf.add hg.neg hp hf_meas fun i => (hg_meas i).neg
#align measure_theory.unif_integrable.sub MeasureTheory.UnifIntegrable.sub
protected theorem ae_eq (hf : UnifIntegrable f p μ) (hfg : ∀ n, f n =ᵐ[μ] g n) :
UnifIntegrable g p μ := by
intro ε hε
obtain ⟨δ, hδ_pos, hfδ⟩ := hf hε
refine ⟨δ, hδ_pos, fun n s hs hμs => (le_of_eq <| snorm_congr_ae ?_).trans (hfδ n s hs hμs)⟩
filter_upwards [hfg n] with x hx
simp_rw [Set.indicator_apply, hx]
#align measure_theory.unif_integrable.ae_eq MeasureTheory.UnifIntegrable.ae_eq
end UnifIntegrable
theorem unifIntegrable_zero_meas [MeasurableSpace α] {p : ℝ≥0∞} {f : ι → α → β} :
UnifIntegrable f p (0 : Measure α) :=
fun ε _ => ⟨1, one_pos, fun i s _ _ => by simp⟩
#align measure_theory.unif_integrable_zero_meas MeasureTheory.unifIntegrable_zero_meas
theorem unifIntegrable_congr_ae {p : ℝ≥0∞} {f g : ι → α → β} (hfg : ∀ n, f n =ᵐ[μ] g n) :
UnifIntegrable f p μ ↔ UnifIntegrable g p μ :=
⟨fun hf => hf.ae_eq hfg, fun hg => hg.ae_eq fun n => (hfg n).symm⟩
#align measure_theory.unif_integrable_congr_ae MeasureTheory.unifIntegrable_congr_ae
theorem tendsto_indicator_ge (f : α → β) (x : α) :
Tendsto (fun M : ℕ => { x | (M : ℝ) ≤ ‖f x‖₊ }.indicator f x) atTop (𝓝 0) := by
refine tendsto_atTop_of_eventually_const (i₀ := Nat.ceil (‖f x‖₊ : ℝ) + 1) fun n hn => ?_
rw [Set.indicator_of_not_mem]
simp only [not_le, Set.mem_setOf_eq]
refine lt_of_le_of_lt (Nat.le_ceil _) ?_
refine lt_of_lt_of_le (lt_add_one _) ?_
norm_cast
#align measure_theory.tendsto_indicator_ge MeasureTheory.tendsto_indicator_ge
variable {p : ℝ≥0∞}
section
variable {f : α → β}
/-- This lemma is weaker than `MeasureTheory.Memℒp.integral_indicator_norm_ge_nonneg_le`
as the latter provides `0 ≤ M` and does not require the measurability of `f`. -/
theorem Memℒp.integral_indicator_norm_ge_le (hf : Memℒp f 1 μ) (hmeas : StronglyMeasurable f)
{ε : ℝ} (hε : 0 < ε) :
∃ M : ℝ, (∫⁻ x, ‖{ x | M ≤ ‖f x‖₊ }.indicator f x‖₊ ∂μ) ≤ ENNReal.ofReal ε := by
have htendsto :
∀ᵐ x ∂μ, Tendsto (fun M : ℕ => { x | (M : ℝ) ≤ ‖f x‖₊ }.indicator f x) atTop (𝓝 0) :=
univ_mem' (id fun x => tendsto_indicator_ge f x)
have hmeas : ∀ M : ℕ, AEStronglyMeasurable ({ x | (M : ℝ) ≤ ‖f x‖₊ }.indicator f) μ := by
intro M
apply hf.1.indicator
apply StronglyMeasurable.measurableSet_le stronglyMeasurable_const
hmeas.nnnorm.measurable.coe_nnreal_real.stronglyMeasurable
have hbound : HasFiniteIntegral (fun x => ‖f x‖) μ := by
rw [memℒp_one_iff_integrable] at hf
exact hf.norm.2
have : Tendsto (fun n : ℕ ↦ ∫⁻ a, ENNReal.ofReal ‖{ x | n ≤ ‖f x‖₊ }.indicator f a - 0‖ ∂μ)
atTop (𝓝 0) := by
refine tendsto_lintegral_norm_of_dominated_convergence hmeas hbound ?_ htendsto
refine fun n => univ_mem' (id fun x => ?_)
by_cases hx : (n : ℝ) ≤ ‖f x‖
· dsimp
rwa [Set.indicator_of_mem]
· dsimp
rw [Set.indicator_of_not_mem, norm_zero]
· exact norm_nonneg _
· assumption
rw [ENNReal.tendsto_atTop_zero] at this
obtain ⟨M, hM⟩ := this (ENNReal.ofReal ε) (ENNReal.ofReal_pos.2 hε)
simp only [true_and_iff, ge_iff_le, zero_tsub, zero_le, sub_zero, zero_add, coe_nnnorm,
Set.mem_Icc] at hM
refine ⟨M, ?_⟩
convert hM M le_rfl
simp only [coe_nnnorm, ENNReal.ofReal_eq_coe_nnreal (norm_nonneg _)]
rfl
#align measure_theory.mem_ℒp.integral_indicator_norm_ge_le MeasureTheory.Memℒp.integral_indicator_norm_ge_le
/-- This lemma is superceded by `MeasureTheory.Memℒp.integral_indicator_norm_ge_nonneg_le`
which does not require measurability. -/
theorem Memℒp.integral_indicator_norm_ge_nonneg_le_of_meas (hf : Memℒp f 1 μ)
(hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) :
∃ M : ℝ, 0 ≤ M ∧ (∫⁻ x, ‖{ x | M ≤ ‖f x‖₊ }.indicator f x‖₊ ∂μ) ≤ ENNReal.ofReal ε :=
let ⟨M, hM⟩ := hf.integral_indicator_norm_ge_le hmeas hε
⟨max M 0, le_max_right _ _, by simpa⟩
#align measure_theory.mem_ℒp.integral_indicator_norm_ge_nonneg_le_of_meas MeasureTheory.Memℒp.integral_indicator_norm_ge_nonneg_le_of_meas
theorem Memℒp.integral_indicator_norm_ge_nonneg_le (hf : Memℒp f 1 μ) {ε : ℝ} (hε : 0 < ε) :
∃ M : ℝ, 0 ≤ M ∧ (∫⁻ x, ‖{ x | M ≤ ‖f x‖₊ }.indicator f x‖₊ ∂μ) ≤ ENNReal.ofReal ε := by
have hf_mk : Memℒp (hf.1.mk f) 1 μ := (memℒp_congr_ae hf.1.ae_eq_mk).mp hf
obtain ⟨M, hM_pos, hfM⟩ :=
hf_mk.integral_indicator_norm_ge_nonneg_le_of_meas hf.1.stronglyMeasurable_mk hε
refine ⟨M, hM_pos, (le_of_eq ?_).trans hfM⟩
refine lintegral_congr_ae ?_
filter_upwards [hf.1.ae_eq_mk] with x hx
simp only [Set.indicator_apply, coe_nnnorm, Set.mem_setOf_eq, ENNReal.coe_inj, hx.symm]
#align measure_theory.mem_ℒp.integral_indicator_norm_ge_nonneg_le MeasureTheory.Memℒp.integral_indicator_norm_ge_nonneg_le
theorem Memℒp.snormEssSup_indicator_norm_ge_eq_zero (hf : Memℒp f ∞ μ)
(hmeas : StronglyMeasurable f) :
∃ M : ℝ, snormEssSup ({ x | M ≤ ‖f x‖₊ }.indicator f) μ = 0 := by
have hbdd : snormEssSup f μ < ∞ := hf.snorm_lt_top
refine ⟨(snorm f ∞ μ + 1).toReal, ?_⟩
rw [snormEssSup_indicator_eq_snormEssSup_restrict]
· have : μ.restrict { x : α | (snorm f ⊤ μ + 1).toReal ≤ ‖f x‖₊ } = 0 := by
simp only [coe_nnnorm, snorm_exponent_top, Measure.restrict_eq_zero]
have : { x : α | (snormEssSup f μ + 1).toReal ≤ ‖f x‖ } ⊆
{ x : α | snormEssSup f μ < ‖f x‖₊ } := by
intro x hx
rw [Set.mem_setOf_eq, ← ENNReal.toReal_lt_toReal hbdd.ne ENNReal.coe_lt_top.ne,
ENNReal.coe_toReal, coe_nnnorm]
refine lt_of_lt_of_le ?_ hx
rw [ENNReal.toReal_lt_toReal hbdd.ne]
· exact ENNReal.lt_add_right hbdd.ne one_ne_zero
· exact (ENNReal.add_lt_top.2 ⟨hbdd, ENNReal.one_lt_top⟩).ne
rw [← nonpos_iff_eq_zero]
refine (measure_mono this).trans ?_
have hle := coe_nnnorm_ae_le_snormEssSup f μ
simp_rw [ae_iff, not_le] at hle
exact nonpos_iff_eq_zero.2 hle
rw [this, snormEssSup_measure_zero]
exact measurableSet_le measurable_const hmeas.nnnorm.measurable.subtype_coe
#align measure_theory.mem_ℒp.snorm_ess_sup_indicator_norm_ge_eq_zero MeasureTheory.Memℒp.snormEssSup_indicator_norm_ge_eq_zero
/- This lemma is slightly weaker than `MeasureTheory.Memℒp.snorm_indicator_norm_ge_pos_le` as the
latter provides `0 < M`. -/
theorem Memℒp.snorm_indicator_norm_ge_le (hf : Memℒp f p μ) (hmeas : StronglyMeasurable f) {ε : ℝ}
(hε : 0 < ε) : ∃ M : ℝ, snorm ({ x | M ≤ ‖f x‖₊ }.indicator f) p μ ≤ ENNReal.ofReal ε := by
by_cases hp_ne_zero : p = 0
· refine ⟨1, hp_ne_zero.symm ▸ ?_⟩
simp [snorm_exponent_zero]
by_cases hp_ne_top : p = ∞
· subst hp_ne_top
obtain ⟨M, hM⟩ := hf.snormEssSup_indicator_norm_ge_eq_zero hmeas
refine ⟨M, ?_⟩
simp only [snorm_exponent_top, hM, zero_le]
obtain ⟨M, hM', hM⟩ := Memℒp.integral_indicator_norm_ge_nonneg_le
(μ := μ) (hf.norm_rpow hp_ne_zero hp_ne_top) (Real.rpow_pos_of_pos hε p.toReal)
refine ⟨M ^ (1 / p.toReal), ?_⟩
rw [snorm_eq_lintegral_rpow_nnnorm hp_ne_zero hp_ne_top, ← ENNReal.rpow_one (ENNReal.ofReal ε)]
conv_rhs => rw [← mul_one_div_cancel (ENNReal.toReal_pos hp_ne_zero hp_ne_top).ne.symm]
rw [ENNReal.rpow_mul,
ENNReal.rpow_le_rpow_iff (one_div_pos.2 <| ENNReal.toReal_pos hp_ne_zero hp_ne_top),
ENNReal.ofReal_rpow_of_pos hε]
convert hM
rename_i x
rw [ENNReal.coe_rpow_of_nonneg _ ENNReal.toReal_nonneg, nnnorm_indicator_eq_indicator_nnnorm,
nnnorm_indicator_eq_indicator_nnnorm]
have hiff : M ^ (1 / p.toReal) ≤ ‖f x‖₊ ↔ M ≤ ‖‖f x‖ ^ p.toReal‖₊ := by
rw [coe_nnnorm, coe_nnnorm, Real.norm_rpow_of_nonneg (norm_nonneg _), norm_norm,
← Real.rpow_le_rpow_iff hM' (Real.rpow_nonneg (norm_nonneg _) _)
(one_div_pos.2 <| ENNReal.toReal_pos hp_ne_zero hp_ne_top), ← Real.rpow_mul (norm_nonneg _),
mul_one_div_cancel (ENNReal.toReal_pos hp_ne_zero hp_ne_top).ne.symm, Real.rpow_one]
by_cases hx : x ∈ { x : α | M ^ (1 / p.toReal) ≤ ‖f x‖₊ }
· rw [Set.indicator_of_mem hx, Set.indicator_of_mem, Real.nnnorm_of_nonneg]
· rfl
rw [Set.mem_setOf_eq]
rwa [← hiff]
· rw [Set.indicator_of_not_mem hx, Set.indicator_of_not_mem]
· simp [(ENNReal.toReal_pos hp_ne_zero hp_ne_top).ne.symm]
· rw [Set.mem_setOf_eq]
rwa [← hiff]
#align measure_theory.mem_ℒp.snorm_indicator_norm_ge_le MeasureTheory.Memℒp.snorm_indicator_norm_ge_le
/-- This lemma implies that a single function is uniformly integrable (in the probability sense). -/
theorem Memℒp.snorm_indicator_norm_ge_pos_le (hf : Memℒp f p μ) (hmeas : StronglyMeasurable f)
{ε : ℝ} (hε : 0 < ε) :
∃ M : ℝ, 0 < M ∧ snorm ({ x | M ≤ ‖f x‖₊ }.indicator f) p μ ≤ ENNReal.ofReal ε := by
obtain ⟨M, hM⟩ := hf.snorm_indicator_norm_ge_le hmeas hε
refine
⟨max M 1, lt_of_lt_of_le zero_lt_one (le_max_right _ _), le_trans (snorm_mono fun x => ?_) hM⟩
rw [norm_indicator_eq_indicator_norm, norm_indicator_eq_indicator_norm]
refine Set.indicator_le_indicator_of_subset (fun x hx => ?_) (fun x => norm_nonneg (f x)) x
rw [Set.mem_setOf_eq] at hx -- removing the `rw` breaks the proof!
exact (max_le_iff.1 hx).1
#align measure_theory.mem_ℒp.snorm_indicator_norm_ge_pos_le MeasureTheory.Memℒp.snorm_indicator_norm_ge_pos_le
end
theorem snorm_indicator_le_of_bound {f : α → β} (hp_top : p ≠ ∞) {ε : ℝ} (hε : 0 < ε) {M : ℝ}
(hf : ∀ x, ‖f x‖ < M) :
∃ (δ : ℝ) (hδ : 0 < δ), ∀ s,
MeasurableSet s → μ s ≤ ENNReal.ofReal δ → snorm (s.indicator f) p μ ≤ ENNReal.ofReal ε := by
by_cases hM : M ≤ 0
· refine ⟨1, zero_lt_one, fun s _ _ => ?_⟩
rw [(_ : f = 0)]
· simp [hε.le]
· ext x
rw [Pi.zero_apply, ← norm_le_zero_iff]
exact (lt_of_lt_of_le (hf x) hM).le
rw [not_le] at hM
refine ⟨(ε / M) ^ p.toReal, Real.rpow_pos_of_pos (div_pos hε hM) _, fun s hs hμ => ?_⟩
by_cases hp : p = 0
· simp [hp]
rw [snorm_indicator_eq_snorm_restrict hs]
have haebdd : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ M := by
filter_upwards
exact fun x => (hf x).le
refine le_trans (snorm_le_of_ae_bound haebdd) ?_
rw [Measure.restrict_apply MeasurableSet.univ, Set.univ_inter,
← ENNReal.le_div_iff_mul_le (Or.inl _) (Or.inl ENNReal.ofReal_ne_top)]
· rw [← one_div, ENNReal.rpow_one_div_le_iff (ENNReal.toReal_pos hp hp_top)]
refine le_trans hμ ?_
rw [← ENNReal.ofReal_rpow_of_pos (div_pos hε hM),
ENNReal.rpow_le_rpow_iff (ENNReal.toReal_pos hp hp_top), ENNReal.ofReal_div_of_pos hM]
· simpa only [ENNReal.ofReal_eq_zero, not_le, Ne]
#align measure_theory.snorm_indicator_le_of_bound MeasureTheory.snorm_indicator_le_of_bound
section
variable {f : α → β}
/-- Auxiliary lemma for `MeasureTheory.Memℒp.snorm_indicator_le`. -/
theorem Memℒp.snorm_indicator_le' (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) (hf : Memℒp f p μ)
(hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) :
∃ (δ : ℝ) (hδ : 0 < δ), ∀ s, MeasurableSet s → μ s ≤ ENNReal.ofReal δ →
snorm (s.indicator f) p μ ≤ 2 * ENNReal.ofReal ε := by
obtain ⟨M, hMpos, hM⟩ := hf.snorm_indicator_norm_ge_pos_le hmeas hε
obtain ⟨δ, hδpos, hδ⟩ :=
snorm_indicator_le_of_bound (f := { x | ‖f x‖ < M }.indicator f) hp_top hε (by
intro x
rw [norm_indicator_eq_indicator_norm, Set.indicator_apply]
· split_ifs with h
exacts [h, hMpos])
refine ⟨δ, hδpos, fun s hs hμs => ?_⟩
rw [(_ : f = { x : α | M ≤ ‖f x‖₊ }.indicator f + { x : α | ‖f x‖ < M }.indicator f)]
· rw [snorm_indicator_eq_snorm_restrict hs]
refine le_trans (snorm_add_le ?_ ?_ hp_one) ?_
· exact StronglyMeasurable.aestronglyMeasurable
(hmeas.indicator (measurableSet_le measurable_const hmeas.nnnorm.measurable.subtype_coe))
· exact StronglyMeasurable.aestronglyMeasurable
(hmeas.indicator (measurableSet_lt hmeas.nnnorm.measurable.subtype_coe measurable_const))
· rw [two_mul]
refine add_le_add (le_trans (snorm_mono_measure _ Measure.restrict_le_self) hM) ?_
rw [← snorm_indicator_eq_snorm_restrict hs]
exact hδ s hs hμs
· ext x
by_cases hx : M ≤ ‖f x‖
· rw [Pi.add_apply, Set.indicator_of_mem, Set.indicator_of_not_mem, add_zero] <;> simpa
· rw [Pi.add_apply, Set.indicator_of_not_mem, Set.indicator_of_mem, zero_add] <;>
simpa using hx
#align measure_theory.mem_ℒp.snorm_indicator_le' MeasureTheory.Memℒp.snorm_indicator_le'
/-- This lemma is superceded by `MeasureTheory.Memℒp.snorm_indicator_le` which does not require
measurability on `f`. -/
theorem Memℒp.snorm_indicator_le_of_meas (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) (hf : Memℒp f p μ)
(hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) :
∃ (δ : ℝ) (hδ : 0 < δ), ∀ s, MeasurableSet s → μ s ≤ ENNReal.ofReal δ →
snorm (s.indicator f) p μ ≤ ENNReal.ofReal ε := by
obtain ⟨δ, hδpos, hδ⟩ := hf.snorm_indicator_le' hp_one hp_top hmeas (half_pos hε)
refine ⟨δ, hδpos, fun s hs hμs => le_trans (hδ s hs hμs) ?_⟩
rw [ENNReal.ofReal_div_of_pos zero_lt_two, (by norm_num : ENNReal.ofReal 2 = 2),
ENNReal.mul_div_cancel'] <;>
norm_num
#align measure_theory.mem_ℒp.snorm_indicator_le_of_meas MeasureTheory.Memℒp.snorm_indicator_le_of_meas
theorem Memℒp.snorm_indicator_le (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) (hf : Memℒp f p μ) {ε : ℝ}
(hε : 0 < ε) :
∃ (δ : ℝ) (hδ : 0 < δ), ∀ s, MeasurableSet s → μ s ≤ ENNReal.ofReal δ →
snorm (s.indicator f) p μ ≤ ENNReal.ofReal ε := by
have hℒp := hf
obtain ⟨⟨f', hf', heq⟩, _⟩ := hf
obtain ⟨δ, hδpos, hδ⟩ := (hℒp.ae_eq heq).snorm_indicator_le_of_meas hp_one hp_top hf' hε
refine ⟨δ, hδpos, fun s hs hμs => ?_⟩
convert hδ s hs hμs using 1
rw [snorm_indicator_eq_snorm_restrict hs, snorm_indicator_eq_snorm_restrict hs]
exact snorm_congr_ae heq.restrict
#align measure_theory.mem_ℒp.snorm_indicator_le MeasureTheory.Memℒp.snorm_indicator_le
/-- A constant function is uniformly integrable. -/
theorem unifIntegrable_const {g : α → β} (hp : 1 ≤ p) (hp_ne_top : p ≠ ∞) (hg : Memℒp g p μ) :
UnifIntegrable (fun _ : ι => g) p μ := by
intro ε hε
obtain ⟨δ, hδ_pos, hgδ⟩ := hg.snorm_indicator_le hp hp_ne_top hε
exact ⟨δ, hδ_pos, fun _ => hgδ⟩
#align measure_theory.unif_integrable_const MeasureTheory.unifIntegrable_const
/-- A single function is uniformly integrable. -/
theorem unifIntegrable_subsingleton [Subsingleton ι] (hp_one : 1 ≤ p) (hp_top : p ≠ ∞)
{f : ι → α → β} (hf : ∀ i, Memℒp (f i) p μ) : UnifIntegrable f p μ := by
intro ε hε
by_cases hι : Nonempty ι
· cases' hι with i
obtain ⟨δ, hδpos, hδ⟩ := (hf i).snorm_indicator_le hp_one hp_top hε
refine ⟨δ, hδpos, fun j s hs hμs => ?_⟩
convert hδ s hs hμs
· exact ⟨1, zero_lt_one, fun i => False.elim <| hι <| Nonempty.intro i⟩
#align measure_theory.unif_integrable_subsingleton MeasureTheory.unifIntegrable_subsingleton
/-- This lemma is less general than `MeasureTheory.unifIntegrable_finite` which applies to
all sequences indexed by a finite type. -/
theorem unifIntegrable_fin (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) {n : ℕ} {f : Fin n → α → β}
(hf : ∀ i, Memℒp (f i) p μ) : UnifIntegrable f p μ := by
revert f
induction' n with n h
· intro f hf
-- Porting note (#10754): added this instance
have : Subsingleton (Fin Nat.zero) := subsingleton_fin_zero
exact unifIntegrable_subsingleton hp_one hp_top hf
intro f hfLp ε hε
let g : Fin n → α → β := fun k => f k
have hgLp : ∀ i, Memℒp (g i) p μ := fun i => hfLp i
obtain ⟨δ₁, hδ₁pos, hδ₁⟩ := h hgLp hε
obtain ⟨δ₂, hδ₂pos, hδ₂⟩ := (hfLp n).snorm_indicator_le hp_one hp_top hε
refine ⟨min δ₁ δ₂, lt_min hδ₁pos hδ₂pos, fun i s hs hμs => ?_⟩
by_cases hi : i.val < n
· rw [(_ : f i = g ⟨i.val, hi⟩)]
· exact hδ₁ _ s hs (le_trans hμs <| ENNReal.ofReal_le_ofReal <| min_le_left _ _)
· simp [g]
· rw [(_ : i = n)]
· exact hδ₂ _ hs (le_trans hμs <| ENNReal.ofReal_le_ofReal <| min_le_right _ _)
· have hi' := Fin.is_lt i
rw [Nat.lt_succ_iff] at hi'
rw [not_lt] at hi
simp [← le_antisymm hi' hi]
#align measure_theory.unif_integrable_fin MeasureTheory.unifIntegrable_fin
/-- A finite sequence of Lp functions is uniformly integrable. -/
theorem unifIntegrable_finite [Finite ι] (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) {f : ι → α → β}
(hf : ∀ i, Memℒp (f i) p μ) : UnifIntegrable f p μ := by
obtain ⟨n, hn⟩ := Finite.exists_equiv_fin ι
intro ε hε
let g : Fin n → α → β := f ∘ hn.some.symm
have hg : ∀ i, Memℒp (g i) p μ := fun _ => hf _
obtain ⟨δ, hδpos, hδ⟩ := unifIntegrable_fin hp_one hp_top hg hε
refine ⟨δ, hδpos, fun i s hs hμs => ?_⟩
specialize hδ (hn.some i) s hs hμs
simp_rw [g, Function.comp_apply, Equiv.symm_apply_apply] at hδ
assumption
#align measure_theory.unif_integrable_finite MeasureTheory.unifIntegrable_finite
end
theorem snorm_sub_le_of_dist_bdd (μ : Measure α)
{p : ℝ≥0∞} (hp' : p ≠ ∞) {s : Set α} (hs : MeasurableSet[m] s)
{f g : α → β} {c : ℝ} (hc : 0 ≤ c) (hf : ∀ x ∈ s, dist (f x) (g x) ≤ c) :
snorm (s.indicator (f - g)) p μ ≤ ENNReal.ofReal c * μ s ^ (1 / p.toReal) := by
by_cases hp : p = 0
· simp [hp]
have : ∀ x, ‖s.indicator (f - g) x‖ ≤ ‖s.indicator (fun _ => c) x‖ := by
intro x
by_cases hx : x ∈ s
· rw [Set.indicator_of_mem hx, Set.indicator_of_mem hx, Pi.sub_apply, ← dist_eq_norm,
Real.norm_eq_abs, abs_of_nonneg hc]
exact hf x hx
· simp [Set.indicator_of_not_mem hx]
refine le_trans (snorm_mono this) ?_
rw [snorm_indicator_const hs hp hp']
refine mul_le_mul_right' (le_of_eq ?_) _
rw [← ofReal_norm_eq_coe_nnnorm, Real.norm_eq_abs, abs_of_nonneg hc]
#align measure_theory.snorm_sub_le_of_dist_bdd MeasureTheory.snorm_sub_le_of_dist_bdd
/-- A sequence of uniformly integrable functions which converges μ-a.e. converges in Lp. -/
theorem tendsto_Lp_of_tendsto_ae_of_meas [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞)
{f : ℕ → α → β} {g : α → β} (hf : ∀ n, StronglyMeasurable (f n)) (hg : StronglyMeasurable g)
(hg' : Memℒp g p μ) (hui : UnifIntegrable f p μ)
(hfg : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x))) :
Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0) := by
rw [ENNReal.tendsto_atTop_zero]
intro ε hε
by_cases h : ε < ∞; swap
· rw [not_lt, top_le_iff] at h
exact ⟨0, fun n _ => by simp [h]⟩
by_cases hμ : μ = 0
· exact ⟨0, fun n _ => by simp [hμ]⟩
have hε' : 0 < ε.toReal / 3 :=
div_pos (ENNReal.toReal_pos (gt_iff_lt.1 hε).ne.symm h.ne) (by norm_num)
have hdivp : 0 ≤ 1 / p.toReal := by
refine one_div_nonneg.2 ?_
rw [← ENNReal.zero_toReal, ENNReal.toReal_le_toReal ENNReal.zero_ne_top hp']
exact le_trans (zero_le _) hp
have hpow : 0 < measureUnivNNReal μ ^ (1 / p.toReal) :=
Real.rpow_pos_of_pos (measureUnivNNReal_pos hμ) _
obtain ⟨δ₁, hδ₁, hsnorm₁⟩ := hui hε'
obtain ⟨δ₂, hδ₂, hsnorm₂⟩ := hg'.snorm_indicator_le hp hp' hε'
obtain ⟨t, htm, ht₁, ht₂⟩ := tendstoUniformlyOn_of_ae_tendsto' hf hg hfg (lt_min hδ₁ hδ₂)
rw [Metric.tendstoUniformlyOn_iff] at ht₂
specialize ht₂ (ε.toReal / (3 * measureUnivNNReal μ ^ (1 / p.toReal)))
(div_pos (ENNReal.toReal_pos (gt_iff_lt.1 hε).ne.symm h.ne) (mul_pos (by norm_num) hpow))
obtain ⟨N, hN⟩ := eventually_atTop.1 ht₂; clear ht₂
refine ⟨N, fun n hn => ?_⟩
rw [← t.indicator_self_add_compl (f n - g)]
refine le_trans (snorm_add_le (((hf n).sub hg).indicator htm).aestronglyMeasurable
(((hf n).sub hg).indicator htm.compl).aestronglyMeasurable hp) ?_
rw [sub_eq_add_neg, Set.indicator_add' t, Set.indicator_neg']
refine le_trans (add_le_add_right (snorm_add_le ((hf n).indicator htm).aestronglyMeasurable
(hg.indicator htm).neg.aestronglyMeasurable hp) _) ?_
have hnf : snorm (t.indicator (f n)) p μ ≤ ENNReal.ofReal (ε.toReal / 3) := by
refine hsnorm₁ n t htm (le_trans ht₁ ?_)
rw [ENNReal.ofReal_le_ofReal_iff hδ₁.le]
exact min_le_left _ _
have hng : snorm (t.indicator g) p μ ≤ ENNReal.ofReal (ε.toReal / 3) := by
refine hsnorm₂ t htm (le_trans ht₁ ?_)
rw [ENNReal.ofReal_le_ofReal_iff hδ₂.le]
exact min_le_right _ _
have hlt : snorm (tᶜ.indicator (f n - g)) p μ ≤ ENNReal.ofReal (ε.toReal / 3) := by
specialize hN n hn
have : 0 ≤ ε.toReal / (3 * measureUnivNNReal μ ^ (1 / p.toReal)) := by positivity
have := snorm_sub_le_of_dist_bdd μ hp' htm.compl this fun x hx =>
(dist_comm (g x) (f n x) ▸ (hN x hx).le :
dist (f n x) (g x) ≤ ε.toReal / (3 * measureUnivNNReal μ ^ (1 / p.toReal)))
refine le_trans this ?_
rw [div_mul_eq_div_mul_one_div, ← ENNReal.ofReal_toReal (measure_lt_top μ tᶜ).ne,
ENNReal.ofReal_rpow_of_nonneg ENNReal.toReal_nonneg hdivp, ← ENNReal.ofReal_mul, mul_assoc]
· refine ENNReal.ofReal_le_ofReal (mul_le_of_le_one_right hε'.le ?_)
rw [mul_comm, mul_one_div, div_le_one]
· refine Real.rpow_le_rpow ENNReal.toReal_nonneg
(ENNReal.toReal_le_of_le_ofReal (measureUnivNNReal_pos hμ).le ?_) hdivp
rw [ENNReal.ofReal_coe_nnreal, coe_measureUnivNNReal]
exact measure_mono (Set.subset_univ _)
· exact Real.rpow_pos_of_pos (measureUnivNNReal_pos hμ) _
· positivity
have : ENNReal.ofReal (ε.toReal / 3) = ε / 3 := by
rw [ENNReal.ofReal_div_of_pos (show (0 : ℝ) < 3 by norm_num), ENNReal.ofReal_toReal h.ne]
simp
rw [this] at hnf hng hlt
rw [snorm_neg, ← ENNReal.add_thirds ε, ← sub_eq_add_neg]
exact add_le_add_three hnf hng hlt
set_option linter.uppercaseLean3 false in
#align measure_theory.tendsto_Lp_of_tendsto_ae_of_meas MeasureTheory.tendsto_Lp_of_tendsto_ae_of_meas
/-- A sequence of uniformly integrable functions which converges μ-a.e. converges in Lp. -/
theorem tendsto_Lp_of_tendsto_ae [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞) {f : ℕ → α → β}
{g : α → β} (hf : ∀ n, AEStronglyMeasurable (f n) μ) (hg : Memℒp g p μ)
(hui : UnifIntegrable f p μ) (hfg : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x))) :
Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0) := by
have : ∀ n, snorm (f n - g) p μ = snorm ((hf n).mk (f n) - hg.1.mk g) p μ :=
fun n => snorm_congr_ae ((hf n).ae_eq_mk.sub hg.1.ae_eq_mk)
simp_rw [this]
refine tendsto_Lp_of_tendsto_ae_of_meas hp hp' (fun n => (hf n).stronglyMeasurable_mk)
hg.1.stronglyMeasurable_mk (hg.ae_eq hg.1.ae_eq_mk) (hui.ae_eq fun n => (hf n).ae_eq_mk) ?_
have h_ae_forall_eq : ∀ᵐ x ∂μ, ∀ n, f n x = (hf n).mk (f n) x := by
rw [ae_all_iff]
exact fun n => (hf n).ae_eq_mk
filter_upwards [hfg, h_ae_forall_eq, hg.1.ae_eq_mk] with x hx_tendsto hxf_eq hxg_eq
rw [← hxg_eq]
convert hx_tendsto using 1
ext1 n
exact (hxf_eq n).symm
set_option linter.uppercaseLean3 false in
#align measure_theory.tendsto_Lp_of_tendsto_ae MeasureTheory.tendsto_Lp_of_tendsto_ae
variable {f : ℕ → α → β} {g : α → β}
theorem unifIntegrable_of_tendsto_Lp_zero (hp : 1 ≤ p) (hp' : p ≠ ∞) (hf : ∀ n, Memℒp (f n) p μ)
(hf_tendsto : Tendsto (fun n => snorm (f n) p μ) atTop (𝓝 0)) : UnifIntegrable f p μ := by
intro ε hε
rw [ENNReal.tendsto_atTop_zero] at hf_tendsto
obtain ⟨N, hN⟩ := hf_tendsto (ENNReal.ofReal ε) (by simpa)
let F : Fin N → α → β := fun n => f n
have hF : ∀ n, Memℒp (F n) p μ := fun n => hf n
obtain ⟨δ₁, hδpos₁, hδ₁⟩ := unifIntegrable_fin hp hp' hF hε
refine ⟨δ₁, hδpos₁, fun n s hs hμs => ?_⟩
by_cases hn : n < N
· exact hδ₁ ⟨n, hn⟩ s hs hμs
· exact (snorm_indicator_le _).trans (hN n (not_lt.1 hn))
set_option linter.uppercaseLean3 false in
#align measure_theory.unif_integrable_of_tendsto_Lp_zero MeasureTheory.unifIntegrable_of_tendsto_Lp_zero
/-- Convergence in Lp implies uniform integrability. -/
theorem unifIntegrable_of_tendsto_Lp (hp : 1 ≤ p) (hp' : p ≠ ∞) (hf : ∀ n, Memℒp (f n) p μ)
(hg : Memℒp g p μ) (hfg : Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0)) :
UnifIntegrable f p μ := by
have : f = (fun _ => g) + fun n => f n - g := by ext1 n; simp
rw [this]
refine UnifIntegrable.add ?_ ?_ hp (fun _ => hg.aestronglyMeasurable)
fun n => (hf n).1.sub hg.aestronglyMeasurable
· exact unifIntegrable_const hp hp' hg
· exact unifIntegrable_of_tendsto_Lp_zero hp hp' (fun n => (hf n).sub hg) hfg
set_option linter.uppercaseLean3 false in
#align measure_theory.unif_integrable_of_tendsto_Lp MeasureTheory.unifIntegrable_of_tendsto_Lp
/-- Forward direction of Vitali's convergence theorem: if `f` is a sequence of uniformly integrable
functions that converge in measure to some function `g` in a finite measure space, then `f`
converge in Lp to `g`. -/
theorem tendsto_Lp_of_tendstoInMeasure [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞)
(hf : ∀ n, AEStronglyMeasurable (f n) μ) (hg : Memℒp g p μ) (hui : UnifIntegrable f p μ)
(hfg : TendstoInMeasure μ f atTop g) : Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0) := by
refine tendsto_of_subseq_tendsto fun ns hns => ?_
obtain ⟨ms, _, hms'⟩ := TendstoInMeasure.exists_seq_tendsto_ae fun ε hε => (hfg ε hε).comp hns
exact ⟨ms,
tendsto_Lp_of_tendsto_ae hp hp' (fun _ => hf _) hg (fun ε hε =>
let ⟨δ, hδ, hδ'⟩ := hui hε
⟨δ, hδ, fun i s hs hμs => hδ' _ s hs hμs⟩)
hms'⟩
set_option linter.uppercaseLean3 false in
#align measure_theory.tendsto_Lp_of_tendsto_in_measure MeasureTheory.tendsto_Lp_of_tendstoInMeasure
/-- **Vitali's convergence theorem**: A sequence of functions `f` converges to `g` in Lp if and
only if it is uniformly integrable and converges to `g` in measure. -/
theorem tendstoInMeasure_iff_tendsto_Lp [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞)
(hf : ∀ n, Memℒp (f n) p μ) (hg : Memℒp g p μ) :
TendstoInMeasure μ f atTop g ∧ UnifIntegrable f p μ ↔
Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0) :=
⟨fun h => tendsto_Lp_of_tendstoInMeasure hp hp' (fun n => (hf n).1) hg h.2 h.1, fun h =>
⟨tendstoInMeasure_of_tendsto_snorm (lt_of_lt_of_le zero_lt_one hp).ne.symm
(fun n => (hf n).aestronglyMeasurable) hg.aestronglyMeasurable h,
unifIntegrable_of_tendsto_Lp hp hp' hf hg h⟩⟩
set_option linter.uppercaseLean3 false in
#align measure_theory.tendsto_in_measure_iff_tendsto_Lp MeasureTheory.tendstoInMeasure_iff_tendsto_Lp
/-- This lemma is superceded by `unifIntegrable_of` which do not require `C` to be positive. -/
theorem unifIntegrable_of' (hp : 1 ≤ p) (hp' : p ≠ ∞) {f : ι → α → β}
(hf : ∀ i, StronglyMeasurable (f i))
(h : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ≥0, 0 < C ∧
∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε) :
UnifIntegrable f p μ := by
have hpzero := (lt_of_lt_of_le zero_lt_one hp).ne.symm
by_cases hμ : μ Set.univ = 0
· rw [Measure.measure_univ_eq_zero] at hμ
exact hμ.symm ▸ unifIntegrable_zero_meas
intro ε hε
obtain ⟨C, hCpos, hC⟩ := h (ε / 2) (half_pos hε)
refine ⟨(ε / (2 * C)) ^ ENNReal.toReal p,
Real.rpow_pos_of_pos (div_pos hε (mul_pos two_pos (NNReal.coe_pos.2 hCpos))) _,
fun i s hs hμs => ?_⟩
by_cases hμs' : μ s = 0
· rw [(snorm_eq_zero_iff ((hf i).indicator hs).aestronglyMeasurable hpzero).2
(indicator_meas_zero hμs')]
set_option tactic.skipAssignedInstances false in norm_num
calc
snorm (Set.indicator s (f i)) p μ ≤
snorm (Set.indicator (s ∩ { x | C ≤ ‖f i x‖₊ }) (f i)) p μ +
snorm (Set.indicator (s ∩ { x | ‖f i x‖₊ < C }) (f i)) p μ := by
refine le_trans (Eq.le ?_) (snorm_add_le
(StronglyMeasurable.aestronglyMeasurable
((hf i).indicator (hs.inter (stronglyMeasurable_const.measurableSet_le (hf i).nnnorm))))
(StronglyMeasurable.aestronglyMeasurable
((hf i).indicator (hs.inter ((hf i).nnnorm.measurableSet_lt stronglyMeasurable_const))))
hp)
congr
change _ = fun x => (s ∩ { x : α | C ≤ ‖f i x‖₊ }).indicator (f i) x +
(s ∩ { x : α | ‖f i x‖₊ < C }).indicator (f i) x
rw [← Set.indicator_union_of_disjoint]
· rw [← Set.inter_union_distrib_left, (by ext; simp [le_or_lt] :
{ x : α | C ≤ ‖f i x‖₊ } ∪ { x : α | ‖f i x‖₊ < C } = Set.univ),
Set.inter_univ]
· refine (Disjoint.inf_right' _ ?_).inf_left' _
rw [disjoint_iff_inf_le]
rintro x ⟨hx₁, hx₂⟩
rw [Set.mem_setOf_eq] at hx₁ hx₂
exact False.elim (hx₂.ne (eq_of_le_of_not_lt hx₁ (not_lt.2 hx₂.le)).symm)
_ ≤ snorm (Set.indicator { x | C ≤ ‖f i x‖₊ } (f i)) p μ +
(C : ℝ≥0∞) * μ s ^ (1 / ENNReal.toReal p) := by
refine add_le_add
(snorm_mono fun x => norm_indicator_le_of_subset Set.inter_subset_right _ _) ?_
rw [← Set.indicator_indicator]
rw [snorm_indicator_eq_snorm_restrict hs]
have : ∀ᵐ x ∂μ.restrict s, ‖{ x : α | ‖f i x‖₊ < C }.indicator (f i) x‖ ≤ C := by
filter_upwards
simp_rw [norm_indicator_eq_indicator_norm]
exact Set.indicator_le' (fun x (hx : _ < _) => hx.le) fun _ _ => NNReal.coe_nonneg _
refine le_trans (snorm_le_of_ae_bound this) ?_
rw [mul_comm, Measure.restrict_apply' hs, Set.univ_inter, ENNReal.ofReal_coe_nnreal, one_div]
_ ≤ ENNReal.ofReal (ε / 2) + C * ENNReal.ofReal (ε / (2 * C)) := by
refine add_le_add (hC i) (mul_le_mul_left' ?_ _)
rwa [ENNReal.rpow_one_div_le_iff (ENNReal.toReal_pos hpzero hp'),
ENNReal.ofReal_rpow_of_pos (div_pos hε (mul_pos two_pos (NNReal.coe_pos.2 hCpos)))]
_ ≤ ENNReal.ofReal (ε / 2) + ENNReal.ofReal (ε / 2) := by
refine add_le_add_left ?_ _
rw [← ENNReal.ofReal_coe_nnreal, ← ENNReal.ofReal_mul (NNReal.coe_nonneg _), ← div_div,
mul_div_cancel₀ _ (NNReal.coe_pos.2 hCpos).ne.symm]
_ ≤ ENNReal.ofReal ε := by
rw [← ENNReal.ofReal_add (half_pos hε).le (half_pos hε).le, add_halves]
#align measure_theory.unif_integrable_of' MeasureTheory.unifIntegrable_of'
theorem unifIntegrable_of (hp : 1 ≤ p) (hp' : p ≠ ∞) {f : ι → α → β}
(hf : ∀ i, AEStronglyMeasurable (f i) μ)
(h : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ≥0,
∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε) :
UnifIntegrable f p μ := by
set g : ι → α → β := fun i => (hf i).choose
refine
(unifIntegrable_of' hp hp' (fun i => (Exists.choose_spec <| hf i).1) fun ε hε => ?_).ae_eq
fun i => (Exists.choose_spec <| hf i).2.symm
obtain ⟨C, hC⟩ := h ε hε
have hCg : ∀ i, snorm ({ x | C ≤ ‖g i x‖₊ }.indicator (g i)) p μ ≤ ENNReal.ofReal ε := by
intro i
refine le_trans (le_of_eq <| snorm_congr_ae ?_) (hC i)
filter_upwards [(Exists.choose_spec <| hf i).2] with x hx
by_cases hfx : x ∈ { x | C ≤ ‖f i x‖₊ }
· rw [Set.indicator_of_mem hfx, Set.indicator_of_mem, hx]
rwa [Set.mem_setOf, hx] at hfx
· rw [Set.indicator_of_not_mem hfx, Set.indicator_of_not_mem]
rwa [Set.mem_setOf, hx] at hfx
refine ⟨max C 1, lt_max_of_lt_right one_pos, fun i => le_trans (snorm_mono fun x => ?_) (hCg i)⟩
rw [norm_indicator_eq_indicator_norm, norm_indicator_eq_indicator_norm]
exact Set.indicator_le_indicator_of_subset
(fun x hx => Set.mem_setOf_eq ▸ le_trans (le_max_left _ _) hx) (fun _ => norm_nonneg _) _
#align measure_theory.unif_integrable_of MeasureTheory.unifIntegrable_of
end UnifIntegrable
section UniformIntegrable
/-! `UniformIntegrable`
In probability theory, uniform integrability normally refers to the condition that a sequence
of function `(fₙ)` satisfies for all `ε > 0`, there exists some `C ≥ 0` such that
`∫ x in {|fₙ| ≥ C}, fₙ x ∂μ ≤ ε` for all `n`.
In this section, we will develop some API for `UniformIntegrable` and prove that
`UniformIntegrable` is equivalent to this definition of uniform integrability.
-/
variable {p : ℝ≥0∞} {f : ι → α → β}
theorem uniformIntegrable_zero_meas [MeasurableSpace α] : UniformIntegrable f p (0 : Measure α) :=
⟨fun _ => aestronglyMeasurable_zero_measure _, unifIntegrable_zero_meas, 0,
fun _ => snorm_measure_zero.le⟩
#align measure_theory.uniform_integrable_zero_meas MeasureTheory.uniformIntegrable_zero_meas
theorem UniformIntegrable.ae_eq {g : ι → α → β} (hf : UniformIntegrable f p μ)
(hfg : ∀ n, f n =ᵐ[μ] g n) : UniformIntegrable g p μ := by
obtain ⟨hfm, hunif, C, hC⟩ := hf
refine ⟨fun i => (hfm i).congr (hfg i), (unifIntegrable_congr_ae hfg).1 hunif, C, fun i => ?_⟩
rw [← snorm_congr_ae (hfg i)]
exact hC i
#align measure_theory.uniform_integrable.ae_eq MeasureTheory.UniformIntegrable.ae_eq
theorem uniformIntegrable_congr_ae {g : ι → α → β} (hfg : ∀ n, f n =ᵐ[μ] g n) :
UniformIntegrable f p μ ↔ UniformIntegrable g p μ :=
⟨fun h => h.ae_eq hfg, fun h => h.ae_eq fun i => (hfg i).symm⟩
#align measure_theory.uniform_integrable_congr_ae MeasureTheory.uniformIntegrable_congr_ae
/-- A finite sequence of Lp functions is uniformly integrable in the probability sense. -/
theorem uniformIntegrable_finite [Finite ι] (hp_one : 1 ≤ p) (hp_top : p ≠ ∞)
(hf : ∀ i, Memℒp (f i) p μ) : UniformIntegrable f p μ := by
cases nonempty_fintype ι
refine ⟨fun n => (hf n).1, unifIntegrable_finite hp_one hp_top hf, ?_⟩
by_cases hι : Nonempty ι
· choose _ hf using hf
set C := (Finset.univ.image fun i : ι => snorm (f i) p μ).max'
⟨snorm (f hι.some) p μ, Finset.mem_image.2 ⟨hι.some, Finset.mem_univ _, rfl⟩⟩
refine ⟨C.toNNReal, fun i => ?_⟩
rw [ENNReal.coe_toNNReal]
· exact Finset.le_max' (α := ℝ≥0∞) _ _ (Finset.mem_image.2 ⟨i, Finset.mem_univ _, rfl⟩)
· refine ne_of_lt ((Finset.max'_lt_iff _ _).2 fun y hy => ?_)
rw [Finset.mem_image] at hy
obtain ⟨i, -, rfl⟩ := hy
exact hf i
· exact ⟨0, fun i => False.elim <| hι <| Nonempty.intro i⟩
#align measure_theory.uniform_integrable_finite MeasureTheory.uniformIntegrable_finite
/-- A single function is uniformly integrable in the probability sense. -/
theorem uniformIntegrable_subsingleton [Subsingleton ι] (hp_one : 1 ≤ p) (hp_top : p ≠ ∞)
(hf : ∀ i, Memℒp (f i) p μ) : UniformIntegrable f p μ :=
uniformIntegrable_finite hp_one hp_top hf
#align measure_theory.uniform_integrable_subsingleton MeasureTheory.uniformIntegrable_subsingleton
/-- A constant sequence of functions is uniformly integrable in the probability sense. -/
theorem uniformIntegrable_const {g : α → β} (hp : 1 ≤ p) (hp_ne_top : p ≠ ∞) (hg : Memℒp g p μ) :
UniformIntegrable (fun _ : ι => g) p μ :=
⟨fun _ => hg.1, unifIntegrable_const hp hp_ne_top hg,
⟨(snorm g p μ).toNNReal, fun _ => le_of_eq (ENNReal.coe_toNNReal hg.2.ne).symm⟩⟩
#align measure_theory.uniform_integrable_const MeasureTheory.uniformIntegrable_const
/-- This lemma is superceded by `uniformIntegrable_of` which only requires
`AEStronglyMeasurable`. -/
theorem uniformIntegrable_of' [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞)
(hf : ∀ i, StronglyMeasurable (f i))
(h : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ≥0,
∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε) :
UniformIntegrable f p μ := by
refine ⟨fun i => (hf i).aestronglyMeasurable,
unifIntegrable_of hp hp' (fun i => (hf i).aestronglyMeasurable) h, ?_⟩
obtain ⟨C, hC⟩ := h 1 one_pos
refine ⟨((C : ℝ≥0∞) * μ Set.univ ^ p.toReal⁻¹ + 1).toNNReal, fun i => ?_⟩
calc
snorm (f i) p μ ≤
snorm ({ x : α | ‖f i x‖₊ < C }.indicator (f i)) p μ +
snorm ({ x : α | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ := by
refine le_trans (snorm_mono fun x => ?_) (snorm_add_le
(StronglyMeasurable.aestronglyMeasurable
((hf i).indicator ((hf i).nnnorm.measurableSet_lt stronglyMeasurable_const)))
(StronglyMeasurable.aestronglyMeasurable
((hf i).indicator (stronglyMeasurable_const.measurableSet_le (hf i).nnnorm))) hp)
rw [Pi.add_apply, Set.indicator_apply]
split_ifs with hx
· rw [Set.indicator_of_not_mem, add_zero]
simpa using hx
· rw [Set.indicator_of_mem, zero_add]
simpa using hx
_ ≤ (C : ℝ≥0∞) * μ Set.univ ^ p.toReal⁻¹ + 1 := by
have : ∀ᵐ x ∂μ, ‖{ x : α | ‖f i x‖₊ < C }.indicator (f i) x‖₊ ≤ C := by
filter_upwards
simp_rw [nnnorm_indicator_eq_indicator_nnnorm]
exact Set.indicator_le fun x (hx : _ < _) => hx.le
refine add_le_add (le_trans (snorm_le_of_ae_bound this) ?_) (ENNReal.ofReal_one ▸ hC i)
simp_rw [NNReal.val_eq_coe, ENNReal.ofReal_coe_nnreal, mul_comm]
exact le_rfl
_ = ((C : ℝ≥0∞) * μ Set.univ ^ p.toReal⁻¹ + 1 : ℝ≥0∞).toNNReal := by
rw [ENNReal.coe_toNNReal]
exact ENNReal.add_ne_top.2
⟨ENNReal.mul_ne_top ENNReal.coe_ne_top (ENNReal.rpow_ne_top_of_nonneg
(inv_nonneg.2 ENNReal.toReal_nonneg) (measure_lt_top _ _).ne),
ENNReal.one_ne_top⟩
#align measure_theory.uniform_integrable_of' MeasureTheory.uniformIntegrable_of'
/-- A sequence of functions `(fₙ)` is uniformly integrable in the probability sense if for all
`ε > 0`, there exists some `C` such that `∫ x in {|fₙ| ≥ C}, fₙ x ∂μ ≤ ε` for all `n`. -/
theorem uniformIntegrable_of [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞)
(hf : ∀ i, AEStronglyMeasurable (f i) μ)
(h : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ≥0,
∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε) :
UniformIntegrable f p μ := by
set g : ι → α → β := fun i => (hf i).choose
have hgmeas : ∀ i, StronglyMeasurable (g i) := fun i => (Exists.choose_spec <| hf i).1
have hgeq : ∀ i, g i =ᵐ[μ] f i := fun i => (Exists.choose_spec <| hf i).2.symm
refine (uniformIntegrable_of' hp hp' hgmeas fun ε hε => ?_).ae_eq hgeq
obtain ⟨C, hC⟩ := h ε hε
refine ⟨C, fun i => le_trans (le_of_eq <| snorm_congr_ae ?_) (hC i)⟩
filter_upwards [(Exists.choose_spec <| hf i).2] with x hx
by_cases hfx : x ∈ { x | C ≤ ‖f i x‖₊ }
· rw [Set.indicator_of_mem hfx, Set.indicator_of_mem, hx]
rwa [Set.mem_setOf, hx] at hfx
· rw [Set.indicator_of_not_mem hfx, Set.indicator_of_not_mem]
rwa [Set.mem_setOf, hx] at hfx
#align measure_theory.uniform_integrable_of MeasureTheory.uniformIntegrable_of
/-- This lemma is superceded by `UniformIntegrable.spec` which does not require measurability. -/
theorem UniformIntegrable.spec' (hp : p ≠ 0) (hp' : p ≠ ∞) (hf : ∀ i, StronglyMeasurable (f i))
(hfu : UniformIntegrable f p μ) {ε : ℝ} (hε : 0 < ε) :
∃ C : ℝ≥0, ∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε := by
obtain ⟨-, hfu, M, hM⟩ := hfu
obtain ⟨δ, hδpos, hδ⟩ := hfu hε
obtain ⟨C, hC⟩ : ∃ C : ℝ≥0, ∀ i, μ { x | C ≤ ‖f i x‖₊ } ≤ ENNReal.ofReal δ := by
by_contra hcon; push_neg at hcon
choose ℐ hℐ using hcon
lift δ to ℝ≥0 using hδpos.le
have : ∀ C : ℝ≥0, C • (δ : ℝ≥0∞) ^ (1 / p.toReal) ≤ snorm (f (ℐ C)) p μ := by
intro C
calc
C • (δ : ℝ≥0∞) ^ (1 / p.toReal) ≤ C • μ { x | C ≤ ‖f (ℐ C) x‖₊ } ^ (1 / p.toReal) := by
rw [ENNReal.smul_def, ENNReal.smul_def, smul_eq_mul, smul_eq_mul]
simp_rw [ENNReal.ofReal_coe_nnreal] at hℐ
refine mul_le_mul' le_rfl
(ENNReal.rpow_le_rpow (hℐ C).le (one_div_nonneg.2 ENNReal.toReal_nonneg))
_ ≤ snorm ({ x | C ≤ ‖f (ℐ C) x‖₊ }.indicator (f (ℐ C))) p μ := by
refine snorm_indicator_ge_of_bdd_below hp hp' _
(measurableSet_le measurable_const (hf _).nnnorm.measurable)
(eventually_of_forall fun x hx => ?_)
rwa [nnnorm_indicator_eq_indicator_nnnorm, Set.indicator_of_mem hx]
_ ≤ snorm (f (ℐ C)) p μ := snorm_indicator_le _
specialize this (2 * max M 1 * δ⁻¹ ^ (1 / p.toReal))
rw [ENNReal.coe_rpow_of_nonneg _ (one_div_nonneg.2 ENNReal.toReal_nonneg), ← ENNReal.coe_smul,
smul_eq_mul, mul_assoc, NNReal.inv_rpow,
inv_mul_cancel (NNReal.rpow_pos (NNReal.coe_pos.1 hδpos)).ne.symm, mul_one, ENNReal.coe_mul,
← NNReal.inv_rpow] at this
refine (lt_of_le_of_lt (le_trans
(hM <| ℐ <| 2 * max M 1 * δ⁻¹ ^ (1 / p.toReal)) (le_max_left (M : ℝ≥0∞) 1))
(lt_of_lt_of_le ?_ this)).ne rfl
rw [← ENNReal.coe_one, ← ENNReal.coe_max, ← ENNReal.coe_mul, ENNReal.coe_lt_coe]
exact lt_two_mul_self (lt_max_of_lt_right one_pos)
exact ⟨C, fun i => hδ i _ (measurableSet_le measurable_const (hf i).nnnorm.measurable) (hC i)⟩
#align measure_theory.uniform_integrable.spec' MeasureTheory.UniformIntegrable.spec'
| Mathlib/MeasureTheory/Function/UniformIntegrable.lean | 891 | 904 | theorem UniformIntegrable.spec (hp : p ≠ 0) (hp' : p ≠ ∞) (hfu : UniformIntegrable f p μ) {ε : ℝ}
(hε : 0 < ε) :
∃ C : ℝ≥0, ∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε := by |
set g : ι → α → β := fun i => (hfu.1 i).choose
have hgmeas : ∀ i, StronglyMeasurable (g i) := fun i => (Exists.choose_spec <| hfu.1 i).1
have hgunif : UniformIntegrable g p μ := hfu.ae_eq fun i => (Exists.choose_spec <| hfu.1 i).2
obtain ⟨C, hC⟩ := hgunif.spec' hp hp' hgmeas hε
refine ⟨C, fun i => le_trans (le_of_eq <| snorm_congr_ae ?_) (hC i)⟩
filter_upwards [(Exists.choose_spec <| hfu.1 i).2] with x hx
by_cases hfx : x ∈ { x | C ≤ ‖f i x‖₊ }
· rw [Set.indicator_of_mem hfx, Set.indicator_of_mem, hx]
rwa [Set.mem_setOf, hx] at hfx
· rw [Set.indicator_of_not_mem hfx, Set.indicator_of_not_mem]
rwa [Set.mem_setOf, hx] at hfx
|
/-
Copyright (c) 2019 Kevin Kappelmann. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kevin Kappelmann, Kyle Miller, Mario Carneiro
-/
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Data.Finset.NatAntidiagonal
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Init.Data.Nat.Lemmas
import Mathlib.Logic.Function.Iterate
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Zify
#align_import data.nat.fib from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
/-!
# Fibonacci Numbers
This file defines the fibonacci series, proves results about it and introduces
methods to compute it quickly.
-/
/-!
# The Fibonacci Sequence
## Summary
Definition of the Fibonacci sequence `F₀ = 0, F₁ = 1, Fₙ₊₂ = Fₙ + Fₙ₊₁`.
## Main Definitions
- `Nat.fib` returns the stream of Fibonacci numbers.
## Main Statements
- `Nat.fib_add_two`: shows that `fib` indeed satisfies the Fibonacci recurrence `Fₙ₊₂ = Fₙ + Fₙ₊₁.`.
- `Nat.fib_gcd`: `fib n` is a strong divisibility sequence.
- `Nat.fib_succ_eq_sum_choose`: `fib` is given by the sum of `Nat.choose` along an antidiagonal.
- `Nat.fib_succ_eq_succ_sum`: shows that `F₀ + F₁ + ⋯ + Fₙ = Fₙ₊₂ - 1`.
- `Nat.fib_two_mul` and `Nat.fib_two_mul_add_one` are the basis for an efficient algorithm to
compute `fib` (see `Nat.fastFib`). There are `bit0`/`bit1` variants of these can be used to
simplify `fib` expressions: `simp only [Nat.fib_bit0, Nat.fib_bit1, Nat.fib_bit0_succ,
Nat.fib_bit1_succ, Nat.fib_one, Nat.fib_two]`.
## Implementation Notes
For efficiency purposes, the sequence is defined using `Stream.iterate`.
## Tags
fib, fibonacci
-/
namespace Nat
/-- Implementation of the fibonacci sequence satisfying
`fib 0 = 0, fib 1 = 1, fib (n + 2) = fib n + fib (n + 1)`.
*Note:* We use a stream iterator for better performance when compared to the naive recursive
implementation.
-/
-- Porting note: Lean cannot find pp_nodot at the time of this port.
-- @[pp_nodot]
def fib (n : ℕ) : ℕ :=
((fun p : ℕ × ℕ => (p.snd, p.fst + p.snd))^[n] (0, 1)).fst
#align nat.fib Nat.fib
@[simp]
theorem fib_zero : fib 0 = 0 :=
rfl
#align nat.fib_zero Nat.fib_zero
@[simp]
theorem fib_one : fib 1 = 1 :=
rfl
#align nat.fib_one Nat.fib_one
@[simp]
theorem fib_two : fib 2 = 1 :=
rfl
#align nat.fib_two Nat.fib_two
/-- Shows that `fib` indeed satisfies the Fibonacci recurrence `Fₙ₊₂ = Fₙ + Fₙ₊₁.` -/
| Mathlib/Data/Nat/Fib/Basic.lean | 87 | 88 | theorem fib_add_two {n : ℕ} : fib (n + 2) = fib n + fib (n + 1) := by |
simp [fib, Function.iterate_succ_apply']
|
/-
Copyright (c) 2022 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Order.Interval.Set.OrdConnected
import Mathlib.Data.Set.Lattice
#align_import data.set.intervals.ord_connected_component from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
/-!
# Order connected components of a set
In this file we define `Set.ordConnectedComponent s x` to be the set of `y` such that
`Set.uIcc x y ⊆ s` and prove some basic facts about this definition. At the moment of writing,
this construction is used only to prove that any linear order with order topology is a T₅ space,
so we only add API needed for this lemma.
-/
open Interval Function OrderDual
namespace Set
variable {α : Type*} [LinearOrder α] {s t : Set α} {x y z : α}
/-- Order-connected component of a point `x` in a set `s`. It is defined as the set of `y` such that
`Set.uIcc x y ⊆ s`. Note that it is empty if and only if `x ∉ s`. -/
def ordConnectedComponent (s : Set α) (x : α) : Set α :=
{ y | [[x, y]] ⊆ s }
#align set.ord_connected_component Set.ordConnectedComponent
theorem mem_ordConnectedComponent : y ∈ ordConnectedComponent s x ↔ [[x, y]] ⊆ s :=
Iff.rfl
#align set.mem_ord_connected_component Set.mem_ordConnectedComponent
theorem dual_ordConnectedComponent :
ordConnectedComponent (ofDual ⁻¹' s) (toDual x) = ofDual ⁻¹' ordConnectedComponent s x :=
ext <| (Surjective.forall toDual.surjective).2 fun x => by
rw [mem_ordConnectedComponent, dual_uIcc]
rfl
#align set.dual_ord_connected_component Set.dual_ordConnectedComponent
theorem ordConnectedComponent_subset : ordConnectedComponent s x ⊆ s := fun _ hy =>
hy right_mem_uIcc
#align set.ord_connected_component_subset Set.ordConnectedComponent_subset
theorem subset_ordConnectedComponent {t} [h : OrdConnected s] (hs : x ∈ s) (ht : s ⊆ t) :
s ⊆ ordConnectedComponent t x := fun _ hy => (h.uIcc_subset hs hy).trans ht
#align set.subset_ord_connected_component Set.subset_ordConnectedComponent
@[simp]
theorem self_mem_ordConnectedComponent : x ∈ ordConnectedComponent s x ↔ x ∈ s := by
rw [mem_ordConnectedComponent, uIcc_self, singleton_subset_iff]
#align set.self_mem_ord_connected_component Set.self_mem_ordConnectedComponent
@[simp]
theorem nonempty_ordConnectedComponent : (ordConnectedComponent s x).Nonempty ↔ x ∈ s :=
⟨fun ⟨_, hy⟩ => hy <| left_mem_uIcc, fun h => ⟨x, self_mem_ordConnectedComponent.2 h⟩⟩
#align set.nonempty_ord_connected_component Set.nonempty_ordConnectedComponent
@[simp]
theorem ordConnectedComponent_eq_empty : ordConnectedComponent s x = ∅ ↔ x ∉ s := by
rw [← not_nonempty_iff_eq_empty, nonempty_ordConnectedComponent]
#align set.ord_connected_component_eq_empty Set.ordConnectedComponent_eq_empty
@[simp]
theorem ordConnectedComponent_empty : ordConnectedComponent ∅ x = ∅ :=
ordConnectedComponent_eq_empty.2 (not_mem_empty x)
#align set.ord_connected_component_empty Set.ordConnectedComponent_empty
@[simp]
theorem ordConnectedComponent_univ : ordConnectedComponent univ x = univ := by
simp [ordConnectedComponent]
#align set.ord_connected_component_univ Set.ordConnectedComponent_univ
theorem ordConnectedComponent_inter (s t : Set α) (x : α) :
ordConnectedComponent (s ∩ t) x = ordConnectedComponent s x ∩ ordConnectedComponent t x := by
simp [ordConnectedComponent, setOf_and]
#align set.ord_connected_component_inter Set.ordConnectedComponent_inter
theorem mem_ordConnectedComponent_comm :
y ∈ ordConnectedComponent s x ↔ x ∈ ordConnectedComponent s y := by
rw [mem_ordConnectedComponent, mem_ordConnectedComponent, uIcc_comm]
#align set.mem_ord_connected_component_comm Set.mem_ordConnectedComponent_comm
theorem mem_ordConnectedComponent_trans (hxy : y ∈ ordConnectedComponent s x)
(hyz : z ∈ ordConnectedComponent s y) : z ∈ ordConnectedComponent s x :=
calc
[[x, z]] ⊆ [[x, y]] ∪ [[y, z]] := uIcc_subset_uIcc_union_uIcc
_ ⊆ s := union_subset hxy hyz
#align set.mem_ord_connected_component_trans Set.mem_ordConnectedComponent_trans
theorem ordConnectedComponent_eq (h : [[x, y]] ⊆ s) :
ordConnectedComponent s x = ordConnectedComponent s y :=
ext fun _ =>
⟨mem_ordConnectedComponent_trans (mem_ordConnectedComponent_comm.2 h),
mem_ordConnectedComponent_trans h⟩
#align set.ord_connected_component_eq Set.ordConnectedComponent_eq
instance : OrdConnected (ordConnectedComponent s x) :=
ordConnected_of_uIcc_subset_left fun _ hy _ hz => (uIcc_subset_uIcc_left hz).trans hy
/-- Projection from `s : Set α` to `α` sending each order connected component of `s` to a single
point of this component. -/
noncomputable def ordConnectedProj (s : Set α) : s → α := fun x : s =>
(nonempty_ordConnectedComponent.2 x.2).some
#align set.ord_connected_proj Set.ordConnectedProj
theorem ordConnectedProj_mem_ordConnectedComponent (s : Set α) (x : s) :
ordConnectedProj s x ∈ ordConnectedComponent s x :=
Nonempty.some_mem _
#align set.ord_connected_proj_mem_ord_connected_component Set.ordConnectedProj_mem_ordConnectedComponent
theorem mem_ordConnectedComponent_ordConnectedProj (s : Set α) (x : s) :
↑x ∈ ordConnectedComponent s (ordConnectedProj s x) :=
mem_ordConnectedComponent_comm.2 <| ordConnectedProj_mem_ordConnectedComponent s x
#align set.mem_ord_connected_component_ord_connected_proj Set.mem_ordConnectedComponent_ordConnectedProj
@[simp]
theorem ordConnectedComponent_ordConnectedProj (s : Set α) (x : s) :
ordConnectedComponent s (ordConnectedProj s x) = ordConnectedComponent s x :=
ordConnectedComponent_eq <| mem_ordConnectedComponent_ordConnectedProj _ _
#align set.ord_connected_component_ord_connected_proj Set.ordConnectedComponent_ordConnectedProj
@[simp]
| Mathlib/Order/Interval/Set/OrdConnectedComponent.lean | 127 | 133 | theorem ordConnectedProj_eq {x y : s} :
ordConnectedProj s x = ordConnectedProj s y ↔ [[(x : α), y]] ⊆ s := by |
constructor <;> intro h
· rw [← mem_ordConnectedComponent, ← ordConnectedComponent_ordConnectedProj, h,
ordConnectedComponent_ordConnectedProj, self_mem_ordConnectedComponent]
exact y.2
· simp only [ordConnectedProj, ordConnectedComponent_eq h]
|
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