Context stringlengths 57 85k | file_name stringlengths 21 79 | start int64 14 2.42k | end int64 18 2.43k | theorem stringlengths 25 2.71k | proof stringlengths 5 10.6k |
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import Mathlib.Data.List.Chain
import Mathlib.Data.List.Enum
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Pairwise
import Mathlib.Data.List.Zip
#align_import data.list.range from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213"
set_option autoImplicit true
universe u
open Nat
namespace List
variable {α : Type u}
@[simp] theorem range'_one {step} : range' s 1 step = [s] := rfl
#align list.length_range' List.length_range'
#align list.range'_eq_nil List.range'_eq_nil
#align list.mem_range' List.mem_range'_1
#align list.map_add_range' List.map_add_range'
#align list.map_sub_range' List.map_sub_range'
#align list.chain_succ_range' List.chain_succ_range'
#align list.chain_lt_range' List.chain_lt_range'
theorem pairwise_lt_range' : ∀ s n (step := 1) (_ : 0 < step := by simp),
Pairwise (· < ·) (range' s n step)
| _, 0, _, _ => Pairwise.nil
| s, n + 1, _, h => chain_iff_pairwise.1 (chain_lt_range' s n h)
#align list.pairwise_lt_range' List.pairwise_lt_range'
theorem nodup_range' (s n : ℕ) (step := 1) (h : 0 < step := by simp) : Nodup (range' s n step) :=
(pairwise_lt_range' s n step h).imp _root_.ne_of_lt
#align list.nodup_range' List.nodup_range'
#align list.range'_append List.range'_append
#align list.range'_sublist_right List.range'_sublist_right
#align list.range'_subset_right List.range'_subset_right
#align list.nth_range' List.get?_range'
set_option linter.deprecated false in
@[simp]
theorem nthLe_range' {n m step} (i) (H : i < (range' n m step).length) :
nthLe (range' n m step) i H = n + step * i := get_range' i H
set_option linter.deprecated false in
theorem nthLe_range'_1 {n m} (i) (H : i < (range' n m).length) :
nthLe (range' n m) i H = n + i := by simp
#align list.nth_le_range' List.nthLe_range'_1
#align list.range'_concat List.range'_concat
#align list.range_core List.range.loop
#align list.range_core_range' List.range_loop_range'
#align list.range_eq_range' List.range_eq_range'
#align list.range_succ_eq_map List.range_succ_eq_map
#align list.range'_eq_map_range List.range'_eq_map_range
#align list.length_range List.length_range
#align list.range_eq_nil List.range_eq_nil
| Mathlib/Data/List/Range.lean | 79 | 80 | theorem pairwise_lt_range (n : ℕ) : Pairwise (· < ·) (range n) := by |
simp (config := {decide := true}) only [range_eq_range', pairwise_lt_range']
|
import Mathlib.Data.Multiset.Powerset
#align_import data.multiset.antidiagonal from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
assert_not_exists Ring
universe u
namespace Multiset
open List
variable {α β : Type*}
def antidiagonal (s : Multiset α) : Multiset (Multiset α × Multiset α) :=
Quot.liftOn s (fun l ↦ (revzip (powersetAux l) : Multiset (Multiset α × Multiset α)))
fun _ _ h ↦ Quot.sound (revzip_powersetAux_perm h)
#align multiset.antidiagonal Multiset.antidiagonal
theorem antidiagonal_coe (l : List α) : @antidiagonal α l = revzip (powersetAux l) :=
rfl
#align multiset.antidiagonal_coe Multiset.antidiagonal_coe
@[simp]
theorem antidiagonal_coe' (l : List α) : @antidiagonal α l = revzip (powersetAux' l) :=
Quot.sound revzip_powersetAux_perm_aux'
#align multiset.antidiagonal_coe' Multiset.antidiagonal_coe'
@[simp]
theorem mem_antidiagonal {s : Multiset α} {x : Multiset α × Multiset α} :
x ∈ antidiagonal s ↔ x.1 + x.2 = s :=
Quotient.inductionOn s fun l ↦ by
dsimp only [quot_mk_to_coe, antidiagonal_coe]
refine ⟨fun h => revzip_powersetAux h, fun h ↦ ?_⟩
haveI := Classical.decEq α
simp only [revzip_powersetAux_lemma l revzip_powersetAux, h.symm, ge_iff_le, mem_coe,
List.mem_map, mem_powersetAux]
cases' x with x₁ x₂
exact ⟨x₁, le_add_right _ _, by rw [add_tsub_cancel_left x₁ x₂]⟩
#align multiset.mem_antidiagonal Multiset.mem_antidiagonal
@[simp]
theorem antidiagonal_map_fst (s : Multiset α) : (antidiagonal s).map Prod.fst = powerset s :=
Quotient.inductionOn s fun l ↦ by simp [powersetAux'];
#align multiset.antidiagonal_map_fst Multiset.antidiagonal_map_fst
@[simp]
theorem antidiagonal_map_snd (s : Multiset α) : (antidiagonal s).map Prod.snd = powerset s :=
Quotient.inductionOn s fun l ↦ by simp [powersetAux']
#align multiset.antidiagonal_map_snd Multiset.antidiagonal_map_snd
@[simp]
theorem antidiagonal_zero : @antidiagonal α 0 = {(0, 0)} :=
rfl
#align multiset.antidiagonal_zero Multiset.antidiagonal_zero
@[simp]
theorem antidiagonal_cons (a : α) (s) :
antidiagonal (a ::ₘ s) =
map (Prod.map id (cons a)) (antidiagonal s) + map (Prod.map (cons a) id) (antidiagonal s) :=
Quotient.inductionOn s fun l ↦ by
simp only [revzip, reverse_append, quot_mk_to_coe, coe_eq_coe, powersetAux'_cons, cons_coe,
map_coe, antidiagonal_coe', coe_add]
rw [← zip_map, ← zip_map, zip_append, (_ : _ ++ _ = _)]
· congr
· simp only [List.map_id]
· rw [map_reverse]
· simp
· simp
#align multiset.antidiagonal_cons Multiset.antidiagonal_cons
theorem antidiagonal_eq_map_powerset [DecidableEq α] (s : Multiset α) :
s.antidiagonal = s.powerset.map fun t ↦ (s - t, t) := by
induction' s using Multiset.induction_on with a s hs
· simp only [antidiagonal_zero, powerset_zero, zero_tsub, map_singleton]
· simp_rw [antidiagonal_cons, powerset_cons, map_add, hs, map_map, Function.comp, Prod.map_mk,
id, sub_cons, erase_cons_head]
rw [add_comm]
congr 1
refine Multiset.map_congr rfl fun x hx ↦ ?_
rw [cons_sub_of_le _ (mem_powerset.mp hx)]
#align multiset.antidiagonal_eq_map_powerset Multiset.antidiagonal_eq_map_powerset
@[simp]
| Mathlib/Data/Multiset/Antidiagonal.lean | 103 | 105 | theorem card_antidiagonal (s : Multiset α) : card (antidiagonal s) = 2 ^ card s := by |
have := card_powerset s
rwa [← antidiagonal_map_fst, card_map] at this
|
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Combinatorics.Hall.Basic
import Mathlib.Data.Fintype.BigOperators
import Mathlib.SetTheory.Cardinal.Finite
#align_import combinatorics.configuration from "leanprover-community/mathlib"@"d2d8742b0c21426362a9dacebc6005db895ca963"
open Finset
namespace Configuration
variable (P L : Type*) [Membership P L]
def Dual :=
P
#align configuration.dual Configuration.Dual
-- Porting note: was `this` instead of `h`
instance [h : Inhabited P] : Inhabited (Dual P) :=
h
instance [Finite P] : Finite (Dual P) :=
‹Finite P›
-- Porting note: was `this` instead of `h`
instance [h : Fintype P] : Fintype (Dual P) :=
h
-- Porting note (#11215): TODO: figure out if this is needed.
set_option synthInstance.checkSynthOrder false in
instance : Membership (Dual L) (Dual P) :=
⟨Function.swap (Membership.mem : P → L → Prop)⟩
class Nondegenerate : Prop where
exists_point : ∀ l : L, ∃ p, p ∉ l
exists_line : ∀ p, ∃ l : L, p ∉ l
eq_or_eq : ∀ {p₁ p₂ : P} {l₁ l₂ : L}, p₁ ∈ l₁ → p₂ ∈ l₁ → p₁ ∈ l₂ → p₂ ∈ l₂ → p₁ = p₂ ∨ l₁ = l₂
#align configuration.nondegenerate Configuration.Nondegenerate
class HasPoints extends Nondegenerate P L where
mkPoint : ∀ {l₁ l₂ : L}, l₁ ≠ l₂ → P
mkPoint_ax : ∀ {l₁ l₂ : L} (h : l₁ ≠ l₂), mkPoint h ∈ l₁ ∧ mkPoint h ∈ l₂
#align configuration.has_points Configuration.HasPoints
class HasLines extends Nondegenerate P L where
mkLine : ∀ {p₁ p₂ : P}, p₁ ≠ p₂ → L
mkLine_ax : ∀ {p₁ p₂ : P} (h : p₁ ≠ p₂), p₁ ∈ mkLine h ∧ p₂ ∈ mkLine h
#align configuration.has_lines Configuration.HasLines
open Nondegenerate
open HasPoints (mkPoint mkPoint_ax)
open HasLines (mkLine mkLine_ax)
instance Dual.Nondegenerate [Nondegenerate P L] : Nondegenerate (Dual L) (Dual P) where
exists_point := @exists_line P L _ _
exists_line := @exists_point P L _ _
eq_or_eq := @fun l₁ l₂ p₁ p₂ h₁ h₂ h₃ h₄ => (@eq_or_eq P L _ _ p₁ p₂ l₁ l₂ h₁ h₃ h₂ h₄).symm
instance Dual.hasLines [HasPoints P L] : HasLines (Dual L) (Dual P) :=
{ Dual.Nondegenerate _ _ with
mkLine := @mkPoint P L _ _
mkLine_ax := @mkPoint_ax P L _ _ }
instance Dual.hasPoints [HasLines P L] : HasPoints (Dual L) (Dual P) :=
{ Dual.Nondegenerate _ _ with
mkPoint := @mkLine P L _ _
mkPoint_ax := @mkLine_ax P L _ _ }
theorem HasPoints.existsUnique_point [HasPoints P L] (l₁ l₂ : L) (hl : l₁ ≠ l₂) :
∃! p, p ∈ l₁ ∧ p ∈ l₂ :=
⟨mkPoint hl, mkPoint_ax hl, fun _ hp =>
(eq_or_eq hp.1 (mkPoint_ax hl).1 hp.2 (mkPoint_ax hl).2).resolve_right hl⟩
#align configuration.has_points.exists_unique_point Configuration.HasPoints.existsUnique_point
theorem HasLines.existsUnique_line [HasLines P L] (p₁ p₂ : P) (hp : p₁ ≠ p₂) :
∃! l : L, p₁ ∈ l ∧ p₂ ∈ l :=
HasPoints.existsUnique_point (Dual L) (Dual P) p₁ p₂ hp
#align configuration.has_lines.exists_unique_line Configuration.HasLines.existsUnique_line
variable {P L}
| Mathlib/Combinatorics/Configuration.lean | 125 | 166 | theorem Nondegenerate.exists_injective_of_card_le [Nondegenerate P L] [Fintype P] [Fintype L]
(h : Fintype.card L ≤ Fintype.card P) : ∃ f : L → P, Function.Injective f ∧ ∀ l, f l ∉ l := by |
classical
let t : L → Finset P := fun l => Set.toFinset { p | p ∉ l }
suffices ∀ s : Finset L, s.card ≤ (s.biUnion t).card by
-- Hall's marriage theorem
obtain ⟨f, hf1, hf2⟩ := (Finset.all_card_le_biUnion_card_iff_exists_injective t).mp this
exact ⟨f, hf1, fun l => Set.mem_toFinset.mp (hf2 l)⟩
intro s
by_cases hs₀ : s.card = 0
-- If `s = ∅`, then `s.card = 0 ≤ (s.bUnion t).card`
· simp_rw [hs₀, zero_le]
by_cases hs₁ : s.card = 1
-- If `s = {l}`, then pick a point `p ∉ l`
· obtain ⟨l, rfl⟩ := Finset.card_eq_one.mp hs₁
obtain ⟨p, hl⟩ := exists_point l
rw [Finset.card_singleton, Finset.singleton_biUnion, Nat.one_le_iff_ne_zero]
exact Finset.card_ne_zero_of_mem (Set.mem_toFinset.mpr hl)
suffices (s.biUnion t)ᶜ.card ≤ sᶜ.card by
-- Rephrase in terms of complements (uses `h`)
rw [Finset.card_compl, Finset.card_compl, tsub_le_iff_left] at this
replace := h.trans this
rwa [← add_tsub_assoc_of_le s.card_le_univ, le_tsub_iff_left (le_add_left s.card_le_univ),
add_le_add_iff_right] at this
have hs₂ : (s.biUnion t)ᶜ.card ≤ 1 := by
-- At most one line through two points of `s`
refine Finset.card_le_one_iff.mpr @fun p₁ p₂ hp₁ hp₂ => ?_
simp_rw [t, Finset.mem_compl, Finset.mem_biUnion, not_exists, not_and,
Set.mem_toFinset, Set.mem_setOf_eq, Classical.not_not] at hp₁ hp₂
obtain ⟨l₁, l₂, hl₁, hl₂, hl₃⟩ :=
Finset.one_lt_card_iff.mp (Nat.one_lt_iff_ne_zero_and_ne_one.mpr ⟨hs₀, hs₁⟩)
exact (eq_or_eq (hp₁ l₁ hl₁) (hp₂ l₁ hl₁) (hp₁ l₂ hl₂) (hp₂ l₂ hl₂)).resolve_right hl₃
by_cases hs₃ : sᶜ.card = 0
· rw [hs₃, Nat.le_zero]
rw [Finset.card_compl, tsub_eq_zero_iff_le, LE.le.le_iff_eq (Finset.card_le_univ _), eq_comm,
Finset.card_eq_iff_eq_univ] at hs₃ ⊢
rw [hs₃]
rw [Finset.eq_univ_iff_forall] at hs₃ ⊢
exact fun p =>
Exists.elim (exists_line p)-- If `s = univ`, then show `s.bUnion t = univ`
fun l hl => Finset.mem_biUnion.mpr ⟨l, Finset.mem_univ l, Set.mem_toFinset.mpr hl⟩
· exact hs₂.trans (Nat.one_le_iff_ne_zero.mpr hs₃)
|
import Mathlib.Combinatorics.SimpleGraph.Finite
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Matrix.Basic
#align_import combinatorics.simple_graph.inc_matrix from "leanprover-community/mathlib"@"bb168510ef455e9280a152e7f31673cabd3d7496"
open Finset Matrix SimpleGraph Sym2
open Matrix
namespace SimpleGraph
variable (R : Type*) {α : Type*} (G : SimpleGraph α)
noncomputable def incMatrix [Zero R] [One R] : Matrix α (Sym2 α) R := fun a =>
(G.incidenceSet a).indicator 1
#align simple_graph.inc_matrix SimpleGraph.incMatrix
variable {R}
theorem incMatrix_apply [Zero R] [One R] {a : α} {e : Sym2 α} :
G.incMatrix R a e = (G.incidenceSet a).indicator 1 e :=
rfl
#align simple_graph.inc_matrix_apply SimpleGraph.incMatrix_apply
| Mathlib/Combinatorics/SimpleGraph/IncMatrix.lean | 69 | 72 | theorem incMatrix_apply' [Zero R] [One R] [DecidableEq α] [DecidableRel G.Adj] {a : α}
{e : Sym2 α} : G.incMatrix R a e = if e ∈ G.incidenceSet a then 1 else 0 := by |
unfold incMatrix Set.indicator
convert rfl
|
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.GroupTheory.GroupAction.Pi
open Function Set
structure AddConstMap (G H : Type*) [Add G] [Add H] (a : G) (b : H) where
protected toFun : G → H
map_add_const' (x : G) : toFun (x + a) = toFun x + b
@[inherit_doc]
scoped [AddConstMap] notation:25 G " →+c[" a ", " b "] " H => AddConstMap G H a b
class AddConstMapClass (F : Type*) (G H : outParam Type*) [Add G] [Add H]
(a : outParam G) (b : outParam H) extends DFunLike F G fun _ ↦ H where
map_add_const (f : F) (x : G) : f (x + a) = f x + b
namespace AddConstMapClass
attribute [simp] map_add_const
variable {F G H : Type*} {a : G} {b : H}
protected theorem semiconj [Add G] [Add H] [AddConstMapClass F G H a b] (f : F) :
Semiconj f (· + a) (· + b) :=
map_add_const f
@[simp]
theorem map_add_nsmul [AddMonoid G] [AddMonoid H] [AddConstMapClass F G H a b]
(f : F) (x : G) (n : ℕ) : f (x + n • a) = f x + n • b := by
simpa using (AddConstMapClass.semiconj f).iterate_right n x
@[simp]
theorem map_add_nat' [AddMonoidWithOne G] [AddMonoid H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) (n : ℕ) : f (x + n) = f x + n • b := by simp [← map_add_nsmul]
theorem map_add_one [AddMonoidWithOne G] [Add H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) : f (x + 1) = f x + b := map_add_const f x
@[simp]
theorem map_add_ofNat' [AddMonoidWithOne G] [AddMonoid H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) (n : ℕ) [n.AtLeastTwo] :
f (x + no_index (OfNat.ofNat n)) = f x + (OfNat.ofNat n : ℕ) • b :=
map_add_nat' f x n
theorem map_add_nat [AddMonoidWithOne G] [AddMonoidWithOne H] [AddConstMapClass F G H 1 1]
(f : F) (x : G) (n : ℕ) : f (x + n) = f x + n := by simp
theorem map_add_ofNat [AddMonoidWithOne G] [AddMonoidWithOne H] [AddConstMapClass F G H 1 1]
(f : F) (x : G) (n : ℕ) [n.AtLeastTwo] :
f (x + OfNat.ofNat n) = f x + OfNat.ofNat n := map_add_nat f x n
@[simp]
theorem map_const [AddZeroClass G] [Add H] [AddConstMapClass F G H a b] (f : F) :
f a = f 0 + b := by
simpa using map_add_const f 0
theorem map_one [AddZeroClass G] [One G] [Add H] [AddConstMapClass F G H 1 b] (f : F) :
f 1 = f 0 + b :=
map_const f
@[simp]
theorem map_nsmul_const [AddMonoid G] [AddMonoid H] [AddConstMapClass F G H a b]
(f : F) (n : ℕ) : f (n • a) = f 0 + n • b := by
simpa using map_add_nsmul f 0 n
@[simp]
theorem map_nat' [AddMonoidWithOne G] [AddMonoid H] [AddConstMapClass F G H 1 b]
(f : F) (n : ℕ) : f n = f 0 + n • b := by
simpa using map_add_nat' f 0 n
theorem map_ofNat' [AddMonoidWithOne G] [AddMonoid H] [AddConstMapClass F G H 1 b]
(f : F) (n : ℕ) [n.AtLeastTwo] :
f (OfNat.ofNat n) = f 0 + (OfNat.ofNat n : ℕ) • b :=
map_nat' f n
theorem map_nat [AddMonoidWithOne G] [AddMonoidWithOne H] [AddConstMapClass F G H 1 1]
(f : F) (n : ℕ) : f n = f 0 + n := by simp
theorem map_ofNat [AddMonoidWithOne G] [AddMonoidWithOne H] [AddConstMapClass F G H 1 1]
(f : F) (n : ℕ) [n.AtLeastTwo] :
f (OfNat.ofNat n) = f 0 + OfNat.ofNat n := map_nat f n
@[simp]
theorem map_const_add [AddCommSemigroup G] [Add H] [AddConstMapClass F G H a b]
(f : F) (x : G) : f (a + x) = f x + b := by
rw [add_comm, map_add_const]
theorem map_one_add [AddCommMonoidWithOne G] [Add H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) : f (1 + x) = f x + b := map_const_add f x
@[simp]
theorem map_nsmul_add [AddCommMonoid G] [AddMonoid H] [AddConstMapClass F G H a b]
(f : F) (n : ℕ) (x : G) : f (n • a + x) = f x + n • b := by
rw [add_comm, map_add_nsmul]
@[simp]
theorem map_nat_add' [AddCommMonoidWithOne G] [AddMonoid H] [AddConstMapClass F G H 1 b]
(f : F) (n : ℕ) (x : G) : f (↑n + x) = f x + n • b := by
simpa using map_nsmul_add f n x
theorem map_ofNat_add' [AddCommMonoidWithOne G] [AddMonoid H] [AddConstMapClass F G H 1 b]
(f : F) (n : ℕ) [n.AtLeastTwo] (x : G) :
f (OfNat.ofNat n + x) = f x + OfNat.ofNat n • b :=
map_nat_add' f n x
theorem map_nat_add [AddCommMonoidWithOne G] [AddMonoidWithOne H] [AddConstMapClass F G H 1 1]
(f : F) (n : ℕ) (x : G) : f (↑n + x) = f x + n := by simp
theorem map_ofNat_add [AddCommMonoidWithOne G] [AddMonoidWithOne H] [AddConstMapClass F G H 1 1]
(f : F) (n : ℕ) [n.AtLeastTwo] (x : G) :
f (OfNat.ofNat n + x) = f x + OfNat.ofNat n :=
map_nat_add f n x
@[simp]
theorem map_sub_nsmul [AddGroup G] [AddGroup H] [AddConstMapClass F G H a b]
(f : F) (x : G) (n : ℕ) : f (x - n • a) = f x - n • b := by
conv_rhs => rw [← sub_add_cancel x (n • a), map_add_nsmul, add_sub_cancel_right]
@[simp]
theorem map_sub_const [AddGroup G] [AddGroup H] [AddConstMapClass F G H a b]
(f : F) (x : G) : f (x - a) = f x - b := by
simpa using map_sub_nsmul f x 1
theorem map_sub_one [AddGroup G] [One G] [AddGroup H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) : f (x - 1) = f x - b :=
map_sub_const f x
@[simp]
theorem map_sub_nat' [AddGroupWithOne G] [AddGroup H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) (n : ℕ) : f (x - n) = f x - n • b := by
simpa using map_sub_nsmul f x n
@[simp]
theorem map_sub_ofNat' [AddGroupWithOne G] [AddGroup H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) (n : ℕ) [n.AtLeastTwo] :
f (x - no_index (OfNat.ofNat n)) = f x - OfNat.ofNat n • b :=
map_sub_nat' f x n
@[simp]
theorem map_add_zsmul [AddGroup G] [AddGroup H] [AddConstMapClass F G H a b]
(f : F) (x : G) : ∀ n : ℤ, f (x + n • a) = f x + n • b
| (n : ℕ) => by simp
| .negSucc n => by simp [← sub_eq_add_neg]
@[simp]
theorem map_zsmul_const [AddGroup G] [AddGroup H] [AddConstMapClass F G H a b]
(f : F) (n : ℤ) : f (n • a) = f 0 + n • b := by
simpa using map_add_zsmul f 0 n
@[simp]
theorem map_add_int' [AddGroupWithOne G] [AddGroup H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) (n : ℤ) : f (x + n) = f x + n • b := by
rw [← map_add_zsmul f x n, zsmul_one]
theorem map_add_int [AddGroupWithOne G] [AddGroupWithOne H] [AddConstMapClass F G H 1 1]
(f : F) (x : G) (n : ℤ) : f (x + n) = f x + n := by simp
@[simp]
theorem map_sub_zsmul [AddGroup G] [AddGroup H] [AddConstMapClass F G H a b]
(f : F) (x : G) (n : ℤ) : f (x - n • a) = f x - n • b := by
simpa [sub_eq_add_neg] using map_add_zsmul f x (-n)
@[simp]
theorem map_sub_int' [AddGroupWithOne G] [AddGroup H] [AddConstMapClass F G H 1 b]
(f : F) (x : G) (n : ℤ) : f (x - n) = f x - n • b := by
rw [← map_sub_zsmul, zsmul_one]
theorem map_sub_int [AddGroupWithOne G] [AddGroupWithOne H] [AddConstMapClass F G H 1 1]
(f : F) (x : G) (n : ℤ) : f (x - n) = f x - n := by simp
@[simp]
| Mathlib/Algebra/AddConstMap/Basic.lean | 217 | 219 | theorem map_zsmul_add [AddCommGroup G] [AddGroup H] [AddConstMapClass F G H a b]
(f : F) (n : ℤ) (x : G) : f (n • a + x) = f x + n • b := by |
rw [add_comm, map_add_zsmul]
|
import Mathlib.CategoryTheory.Abelian.Basic
#align_import category_theory.idempotents.basic from "leanprover-community/mathlib"@"3a061790136d13594ec10c7c90d202335ac5d854"
open CategoryTheory
open CategoryTheory.Category
open CategoryTheory.Limits
open CategoryTheory.Preadditive
open Opposite
namespace CategoryTheory
variable (C : Type*) [Category C]
class IsIdempotentComplete : Prop where
idempotents_split :
∀ (X : C) (p : X ⟶ X), p ≫ p = p → ∃ (Y : C) (i : Y ⟶ X) (e : X ⟶ Y), i ≫ e = 𝟙 Y ∧ e ≫ i = p
#align category_theory.is_idempotent_complete CategoryTheory.IsIdempotentComplete
namespace Idempotents
theorem isIdempotentComplete_iff_hasEqualizer_of_id_and_idempotent :
IsIdempotentComplete C ↔ ∀ (X : C) (p : X ⟶ X), p ≫ p = p → HasEqualizer (𝟙 X) p := by
constructor
· intro
intro X p hp
rcases IsIdempotentComplete.idempotents_split X p hp with ⟨Y, i, e, ⟨h₁, h₂⟩⟩
exact
⟨Nonempty.intro
{ cone := Fork.ofι i (show i ≫ 𝟙 X = i ≫ p by rw [comp_id, ← h₂, ← assoc, h₁, id_comp])
isLimit := by
apply Fork.IsLimit.mk'
intro s
refine ⟨s.ι ≫ e, ?_⟩
constructor
· erw [assoc, h₂, ← Limits.Fork.condition s, comp_id]
· intro m hm
rw [Fork.ι_ofι] at hm
rw [← hm]
simp only [← hm, assoc, h₁]
exact (comp_id m).symm }⟩
· intro h
refine ⟨?_⟩
intro X p hp
haveI : HasEqualizer (𝟙 X) p := h X p hp
refine ⟨equalizer (𝟙 X) p, equalizer.ι (𝟙 X) p,
equalizer.lift p (show p ≫ 𝟙 X = p ≫ p by rw [hp, comp_id]), ?_, equalizer.lift_ι _ _⟩
ext
simp only [assoc, limit.lift_π, Eq.ndrec, id_eq, eq_mpr_eq_cast, Fork.ofι_pt,
Fork.ofι_π_app, id_comp]
rw [← equalizer.condition, comp_id]
#align category_theory.idempotents.is_idempotent_complete_iff_has_equalizer_of_id_and_idempotent CategoryTheory.Idempotents.isIdempotentComplete_iff_hasEqualizer_of_id_and_idempotent
variable {C}
theorem idem_of_id_sub_idem [Preadditive C] {X : C} (p : X ⟶ X) (hp : p ≫ p = p) :
(𝟙 _ - p) ≫ (𝟙 _ - p) = 𝟙 _ - p := by
simp only [comp_sub, sub_comp, id_comp, comp_id, hp, sub_self, sub_zero]
#align category_theory.idempotents.idem_of_id_sub_idem CategoryTheory.Idempotents.idem_of_id_sub_idem
variable (C)
theorem isIdempotentComplete_iff_idempotents_have_kernels [Preadditive C] :
IsIdempotentComplete C ↔ ∀ (X : C) (p : X ⟶ X), p ≫ p = p → HasKernel p := by
rw [isIdempotentComplete_iff_hasEqualizer_of_id_and_idempotent]
constructor
· intro h X p hp
haveI : HasEqualizer (𝟙 X) (𝟙 X - p) := h X (𝟙 _ - p) (idem_of_id_sub_idem p hp)
convert hasKernel_of_hasEqualizer (𝟙 X) (𝟙 X - p)
rw [sub_sub_cancel]
· intro h X p hp
haveI : HasKernel (𝟙 _ - p) := h X (𝟙 _ - p) (idem_of_id_sub_idem p hp)
apply Preadditive.hasEqualizer_of_hasKernel
#align category_theory.idempotents.is_idempotent_complete_iff_idempotents_have_kernels CategoryTheory.Idempotents.isIdempotentComplete_iff_idempotents_have_kernels
instance (priority := 100) isIdempotentComplete_of_abelian (D : Type*) [Category D] [Abelian D] :
IsIdempotentComplete D := by
rw [isIdempotentComplete_iff_idempotents_have_kernels]
intros
infer_instance
#align category_theory.idempotents.is_idempotent_complete_of_abelian CategoryTheory.Idempotents.isIdempotentComplete_of_abelian
variable {C}
theorem split_imp_of_iso {X X' : C} (φ : X ≅ X') (p : X ⟶ X) (p' : X' ⟶ X')
(hpp' : p ≫ φ.hom = φ.hom ≫ p')
(h : ∃ (Y : C) (i : Y ⟶ X) (e : X ⟶ Y), i ≫ e = 𝟙 Y ∧ e ≫ i = p) :
∃ (Y' : C) (i' : Y' ⟶ X') (e' : X' ⟶ Y'), i' ≫ e' = 𝟙 Y' ∧ e' ≫ i' = p' := by
rcases h with ⟨Y, i, e, ⟨h₁, h₂⟩⟩
use Y, i ≫ φ.hom, φ.inv ≫ e
constructor
· slice_lhs 2 3 => rw [φ.hom_inv_id]
rw [id_comp, h₁]
· slice_lhs 2 3 => rw [h₂]
rw [hpp', ← assoc, φ.inv_hom_id, id_comp]
#align category_theory.idempotents.split_imp_of_iso CategoryTheory.Idempotents.split_imp_of_iso
theorem split_iff_of_iso {X X' : C} (φ : X ≅ X') (p : X ⟶ X) (p' : X' ⟶ X')
(hpp' : p ≫ φ.hom = φ.hom ≫ p') :
(∃ (Y : C) (i : Y ⟶ X) (e : X ⟶ Y), i ≫ e = 𝟙 Y ∧ e ≫ i = p) ↔
∃ (Y' : C) (i' : Y' ⟶ X') (e' : X' ⟶ Y'), i' ≫ e' = 𝟙 Y' ∧ e' ≫ i' = p' := by
constructor
· exact split_imp_of_iso φ p p' hpp'
· apply split_imp_of_iso φ.symm p' p
rw [← comp_id p, ← φ.hom_inv_id]
slice_rhs 2 3 => rw [hpp']
slice_rhs 1 2 => erw [φ.inv_hom_id]
simp only [id_comp]
rfl
#align category_theory.idempotents.split_iff_of_iso CategoryTheory.Idempotents.split_iff_of_iso
theorem Equivalence.isIdempotentComplete {D : Type*} [Category D] (ε : C ≌ D)
(h : IsIdempotentComplete C) : IsIdempotentComplete D := by
refine ⟨?_⟩
intro X' p hp
let φ := ε.counitIso.symm.app X'
erw [split_iff_of_iso φ p (φ.inv ≫ p ≫ φ.hom)
(by
slice_rhs 1 2 => rw [φ.hom_inv_id]
rw [id_comp])]
rcases IsIdempotentComplete.idempotents_split (ε.inverse.obj X') (ε.inverse.map p)
(by rw [← ε.inverse.map_comp, hp]) with
⟨Y, i, e, ⟨h₁, h₂⟩⟩
use ε.functor.obj Y, ε.functor.map i, ε.functor.map e
constructor
· rw [← ε.functor.map_comp, h₁, ε.functor.map_id]
· simp only [← ε.functor.map_comp, h₂, Equivalence.fun_inv_map]
rfl
#align category_theory.idempotents.equivalence.is_idempotent_complete CategoryTheory.Idempotents.Equivalence.isIdempotentComplete
theorem isIdempotentComplete_iff_of_equivalence {D : Type*} [Category D] (ε : C ≌ D) :
IsIdempotentComplete C ↔ IsIdempotentComplete D := by
constructor
· exact Equivalence.isIdempotentComplete ε
· exact Equivalence.isIdempotentComplete ε.symm
#align category_theory.idempotents.is_idempotent_complete_iff_of_equivalence CategoryTheory.Idempotents.isIdempotentComplete_iff_of_equivalence
| Mathlib/CategoryTheory/Idempotents/Basic.lean | 184 | 195 | theorem isIdempotentComplete_of_isIdempotentComplete_opposite (h : IsIdempotentComplete Cᵒᵖ) :
IsIdempotentComplete C := by |
refine ⟨?_⟩
intro X p hp
rcases IsIdempotentComplete.idempotents_split (op X) p.op (by rw [← op_comp, hp]) with
⟨Y, i, e, ⟨h₁, h₂⟩⟩
use Y.unop, e.unop, i.unop
constructor
· simp only [← unop_comp, h₁]
rfl
· simp only [← unop_comp, h₂]
rfl
|
import Mathlib.MeasureTheory.Function.LpOrder
#align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f"
noncomputable section
open scoped Classical
open Topology ENNReal MeasureTheory NNReal
open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory
variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ]
variable [NormedAddCommGroup β]
variable [NormedAddCommGroup γ]
namespace MeasureTheory
theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) :
∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm]
#align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist
theorem lintegral_norm_eq_lintegral_edist (f : α → β) :
∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by
simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm]
#align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist
theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ)
(hh : AEStronglyMeasurable h μ) :
(∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by
rw [← lintegral_add_left' (hf.edist hh)]
refine lintegral_mono fun a => ?_
apply edist_triangle_right
#align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle
theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp
#align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero
theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) :
∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ :=
lintegral_add_left' hf.ennnorm _
#align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left
theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) :
∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ :=
lintegral_add_right' _ hg.ennnorm
#align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right
theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by
simp only [Pi.neg_apply, nnnorm_neg]
#align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg
def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop :=
(∫⁻ a, ‖f a‖₊ ∂μ) < ∞
#align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral
theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) :
HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) :=
Iff.rfl
theorem hasFiniteIntegral_iff_norm (f : α → β) :
HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by
simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm]
#align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm
theorem hasFiniteIntegral_iff_edist (f : α → β) :
HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by
simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right]
#align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist
theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) :
HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by
rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h]
#align measure_theory.has_finite_integral_iff_of_real MeasureTheory.hasFiniteIntegral_iff_ofReal
theorem hasFiniteIntegral_iff_ofNNReal {f : α → ℝ≥0} :
HasFiniteIntegral (fun x => (f x : ℝ)) μ ↔ (∫⁻ a, f a ∂μ) < ∞ := by
simp [hasFiniteIntegral_iff_norm]
#align measure_theory.has_finite_integral_iff_of_nnreal MeasureTheory.hasFiniteIntegral_iff_ofNNReal
theorem HasFiniteIntegral.mono {f : α → β} {g : α → γ} (hg : HasFiniteIntegral g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : HasFiniteIntegral f μ := by
simp only [hasFiniteIntegral_iff_norm] at *
calc
(∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) ≤ ∫⁻ a : α, ENNReal.ofReal ‖g a‖ ∂μ :=
lintegral_mono_ae (h.mono fun a h => ofReal_le_ofReal h)
_ < ∞ := hg
#align measure_theory.has_finite_integral.mono MeasureTheory.HasFiniteIntegral.mono
theorem HasFiniteIntegral.mono' {f : α → β} {g : α → ℝ} (hg : HasFiniteIntegral g μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : HasFiniteIntegral f μ :=
hg.mono <| h.mono fun _x hx => le_trans hx (le_abs_self _)
#align measure_theory.has_finite_integral.mono' MeasureTheory.HasFiniteIntegral.mono'
theorem HasFiniteIntegral.congr' {f : α → β} {g : α → γ} (hf : HasFiniteIntegral f μ)
(h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : HasFiniteIntegral g μ :=
hf.mono <| EventuallyEq.le <| EventuallyEq.symm h
#align measure_theory.has_finite_integral.congr' MeasureTheory.HasFiniteIntegral.congr'
theorem hasFiniteIntegral_congr' {f : α → β} {g : α → γ} (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) :
HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ :=
⟨fun hf => hf.congr' h, fun hg => hg.congr' <| EventuallyEq.symm h⟩
#align measure_theory.has_finite_integral_congr' MeasureTheory.hasFiniteIntegral_congr'
theorem HasFiniteIntegral.congr {f g : α → β} (hf : HasFiniteIntegral f μ) (h : f =ᵐ[μ] g) :
HasFiniteIntegral g μ :=
hf.congr' <| h.fun_comp norm
#align measure_theory.has_finite_integral.congr MeasureTheory.HasFiniteIntegral.congr
theorem hasFiniteIntegral_congr {f g : α → β} (h : f =ᵐ[μ] g) :
HasFiniteIntegral f μ ↔ HasFiniteIntegral g μ :=
hasFiniteIntegral_congr' <| h.fun_comp norm
#align measure_theory.has_finite_integral_congr MeasureTheory.hasFiniteIntegral_congr
theorem hasFiniteIntegral_const_iff {c : β} :
HasFiniteIntegral (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by
simp [HasFiniteIntegral, lintegral_const, lt_top_iff_ne_top, ENNReal.mul_eq_top,
or_iff_not_imp_left]
#align measure_theory.has_finite_integral_const_iff MeasureTheory.hasFiniteIntegral_const_iff
theorem hasFiniteIntegral_const [IsFiniteMeasure μ] (c : β) :
HasFiniteIntegral (fun _ : α => c) μ :=
hasFiniteIntegral_const_iff.2 (Or.inr <| measure_lt_top _ _)
#align measure_theory.has_finite_integral_const MeasureTheory.hasFiniteIntegral_const
theorem hasFiniteIntegral_of_bounded [IsFiniteMeasure μ] {f : α → β} {C : ℝ}
(hC : ∀ᵐ a ∂μ, ‖f a‖ ≤ C) : HasFiniteIntegral f μ :=
(hasFiniteIntegral_const C).mono' hC
#align measure_theory.has_finite_integral_of_bounded MeasureTheory.hasFiniteIntegral_of_bounded
theorem HasFiniteIntegral.of_finite [Finite α] [IsFiniteMeasure μ] {f : α → β} :
HasFiniteIntegral f μ :=
let ⟨_⟩ := nonempty_fintype α
hasFiniteIntegral_of_bounded <| ae_of_all μ <| norm_le_pi_norm f
@[deprecated (since := "2024-02-05")]
alias hasFiniteIntegral_of_fintype := HasFiniteIntegral.of_finite
theorem HasFiniteIntegral.mono_measure {f : α → β} (h : HasFiniteIntegral f ν) (hμ : μ ≤ ν) :
HasFiniteIntegral f μ :=
lt_of_le_of_lt (lintegral_mono' hμ le_rfl) h
#align measure_theory.has_finite_integral.mono_measure MeasureTheory.HasFiniteIntegral.mono_measure
theorem HasFiniteIntegral.add_measure {f : α → β} (hμ : HasFiniteIntegral f μ)
(hν : HasFiniteIntegral f ν) : HasFiniteIntegral f (μ + ν) := by
simp only [HasFiniteIntegral, lintegral_add_measure] at *
exact add_lt_top.2 ⟨hμ, hν⟩
#align measure_theory.has_finite_integral.add_measure MeasureTheory.HasFiniteIntegral.add_measure
theorem HasFiniteIntegral.left_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) :
HasFiniteIntegral f μ :=
h.mono_measure <| Measure.le_add_right <| le_rfl
#align measure_theory.has_finite_integral.left_of_add_measure MeasureTheory.HasFiniteIntegral.left_of_add_measure
theorem HasFiniteIntegral.right_of_add_measure {f : α → β} (h : HasFiniteIntegral f (μ + ν)) :
HasFiniteIntegral f ν :=
h.mono_measure <| Measure.le_add_left <| le_rfl
#align measure_theory.has_finite_integral.right_of_add_measure MeasureTheory.HasFiniteIntegral.right_of_add_measure
@[simp]
theorem hasFiniteIntegral_add_measure {f : α → β} :
HasFiniteIntegral f (μ + ν) ↔ HasFiniteIntegral f μ ∧ HasFiniteIntegral f ν :=
⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩
#align measure_theory.has_finite_integral_add_measure MeasureTheory.hasFiniteIntegral_add_measure
theorem HasFiniteIntegral.smul_measure {f : α → β} (h : HasFiniteIntegral f μ) {c : ℝ≥0∞}
(hc : c ≠ ∞) : HasFiniteIntegral f (c • μ) := by
simp only [HasFiniteIntegral, lintegral_smul_measure] at *
exact mul_lt_top hc h.ne
#align measure_theory.has_finite_integral.smul_measure MeasureTheory.HasFiniteIntegral.smul_measure
@[simp]
theorem hasFiniteIntegral_zero_measure {m : MeasurableSpace α} (f : α → β) :
HasFiniteIntegral f (0 : Measure α) := by
simp only [HasFiniteIntegral, lintegral_zero_measure, zero_lt_top]
#align measure_theory.has_finite_integral_zero_measure MeasureTheory.hasFiniteIntegral_zero_measure
variable (α β μ)
@[simp]
theorem hasFiniteIntegral_zero : HasFiniteIntegral (fun _ : α => (0 : β)) μ := by
simp [HasFiniteIntegral]
#align measure_theory.has_finite_integral_zero MeasureTheory.hasFiniteIntegral_zero
variable {α β μ}
theorem HasFiniteIntegral.neg {f : α → β} (hfi : HasFiniteIntegral f μ) :
HasFiniteIntegral (-f) μ := by simpa [HasFiniteIntegral] using hfi
#align measure_theory.has_finite_integral.neg MeasureTheory.HasFiniteIntegral.neg
@[simp]
theorem hasFiniteIntegral_neg_iff {f : α → β} : HasFiniteIntegral (-f) μ ↔ HasFiniteIntegral f μ :=
⟨fun h => neg_neg f ▸ h.neg, HasFiniteIntegral.neg⟩
#align measure_theory.has_finite_integral_neg_iff MeasureTheory.hasFiniteIntegral_neg_iff
theorem HasFiniteIntegral.norm {f : α → β} (hfi : HasFiniteIntegral f μ) :
HasFiniteIntegral (fun a => ‖f a‖) μ := by
have eq : (fun a => (nnnorm ‖f a‖ : ℝ≥0∞)) = fun a => (‖f a‖₊ : ℝ≥0∞) := by
funext
rw [nnnorm_norm]
rwa [HasFiniteIntegral, eq]
#align measure_theory.has_finite_integral.norm MeasureTheory.HasFiniteIntegral.norm
theorem hasFiniteIntegral_norm_iff (f : α → β) :
HasFiniteIntegral (fun a => ‖f a‖) μ ↔ HasFiniteIntegral f μ :=
hasFiniteIntegral_congr' <| eventually_of_forall fun x => norm_norm (f x)
#align measure_theory.has_finite_integral_norm_iff MeasureTheory.hasFiniteIntegral_norm_iff
theorem hasFiniteIntegral_toReal_of_lintegral_ne_top {f : α → ℝ≥0∞} (hf : (∫⁻ x, f x ∂μ) ≠ ∞) :
HasFiniteIntegral (fun x => (f x).toReal) μ := by
have :
∀ x, (‖(f x).toReal‖₊ : ℝ≥0∞) = ENNReal.ofNNReal ⟨(f x).toReal, ENNReal.toReal_nonneg⟩ := by
intro x
rw [Real.nnnorm_of_nonneg]
simp_rw [HasFiniteIntegral, this]
refine lt_of_le_of_lt (lintegral_mono fun x => ?_) (lt_top_iff_ne_top.2 hf)
by_cases hfx : f x = ∞
· simp [hfx]
· lift f x to ℝ≥0 using hfx with fx h
simp [← h, ← NNReal.coe_le_coe]
#align measure_theory.has_finite_integral_to_real_of_lintegral_ne_top MeasureTheory.hasFiniteIntegral_toReal_of_lintegral_ne_top
theorem isFiniteMeasure_withDensity_ofReal {f : α → ℝ} (hfi : HasFiniteIntegral f μ) :
IsFiniteMeasure (μ.withDensity fun x => ENNReal.ofReal <| f x) := by
refine isFiniteMeasure_withDensity ((lintegral_mono fun x => ?_).trans_lt hfi).ne
exact Real.ofReal_le_ennnorm (f x)
#align measure_theory.is_finite_measure_with_density_of_real MeasureTheory.isFiniteMeasure_withDensity_ofReal
-- variable [MeasurableSpace β] [MeasurableSpace γ] [MeasurableSpace δ]
def Integrable {α} {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop :=
AEStronglyMeasurable f μ ∧ HasFiniteIntegral f μ
#align measure_theory.integrable MeasureTheory.Integrable
theorem memℒp_one_iff_integrable {f : α → β} : Memℒp f 1 μ ↔ Integrable f μ := by
simp_rw [Integrable, HasFiniteIntegral, Memℒp, snorm_one_eq_lintegral_nnnorm]
#align measure_theory.mem_ℒp_one_iff_integrable MeasureTheory.memℒp_one_iff_integrable
theorem Integrable.aestronglyMeasurable {f : α → β} (hf : Integrable f μ) :
AEStronglyMeasurable f μ :=
hf.1
#align measure_theory.integrable.ae_strongly_measurable MeasureTheory.Integrable.aestronglyMeasurable
theorem Integrable.aemeasurable [MeasurableSpace β] [BorelSpace β] {f : α → β}
(hf : Integrable f μ) : AEMeasurable f μ :=
hf.aestronglyMeasurable.aemeasurable
#align measure_theory.integrable.ae_measurable MeasureTheory.Integrable.aemeasurable
theorem Integrable.hasFiniteIntegral {f : α → β} (hf : Integrable f μ) : HasFiniteIntegral f μ :=
hf.2
#align measure_theory.integrable.has_finite_integral MeasureTheory.Integrable.hasFiniteIntegral
theorem Integrable.mono {f : α → β} {g : α → γ} (hg : Integrable g μ)
(hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : Integrable f μ :=
⟨hf, hg.hasFiniteIntegral.mono h⟩
#align measure_theory.integrable.mono MeasureTheory.Integrable.mono
theorem Integrable.mono' {f : α → β} {g : α → ℝ} (hg : Integrable g μ)
(hf : AEStronglyMeasurable f μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ g a) : Integrable f μ :=
⟨hf, hg.hasFiniteIntegral.mono' h⟩
#align measure_theory.integrable.mono' MeasureTheory.Integrable.mono'
theorem Integrable.congr' {f : α → β} {g : α → γ} (hf : Integrable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) : Integrable g μ :=
⟨hg, hf.hasFiniteIntegral.congr' h⟩
#align measure_theory.integrable.congr' MeasureTheory.Integrable.congr'
theorem integrable_congr' {f : α → β} {g : α → γ} (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ = ‖g a‖) :
Integrable f μ ↔ Integrable g μ :=
⟨fun h2f => h2f.congr' hg h, fun h2g => h2g.congr' hf <| EventuallyEq.symm h⟩
#align measure_theory.integrable_congr' MeasureTheory.integrable_congr'
theorem Integrable.congr {f g : α → β} (hf : Integrable f μ) (h : f =ᵐ[μ] g) : Integrable g μ :=
⟨hf.1.congr h, hf.2.congr h⟩
#align measure_theory.integrable.congr MeasureTheory.Integrable.congr
theorem integrable_congr {f g : α → β} (h : f =ᵐ[μ] g) : Integrable f μ ↔ Integrable g μ :=
⟨fun hf => hf.congr h, fun hg => hg.congr h.symm⟩
#align measure_theory.integrable_congr MeasureTheory.integrable_congr
theorem integrable_const_iff {c : β} : Integrable (fun _ : α => c) μ ↔ c = 0 ∨ μ univ < ∞ := by
have : AEStronglyMeasurable (fun _ : α => c) μ := aestronglyMeasurable_const
rw [Integrable, and_iff_right this, hasFiniteIntegral_const_iff]
#align measure_theory.integrable_const_iff MeasureTheory.integrable_const_iff
@[simp]
theorem integrable_const [IsFiniteMeasure μ] (c : β) : Integrable (fun _ : α => c) μ :=
integrable_const_iff.2 <| Or.inr <| measure_lt_top _ _
#align measure_theory.integrable_const MeasureTheory.integrable_const
@[simp]
theorem Integrable.of_finite [Finite α] [MeasurableSpace α] [MeasurableSingletonClass α]
(μ : Measure α) [IsFiniteMeasure μ] (f : α → β) : Integrable (fun a ↦ f a) μ :=
⟨(StronglyMeasurable.of_finite f).aestronglyMeasurable, .of_finite⟩
@[deprecated (since := "2024-02-05")] alias integrable_of_fintype := Integrable.of_finite
theorem Memℒp.integrable_norm_rpow {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) (hp_ne_zero : p ≠ 0)
(hp_ne_top : p ≠ ∞) : Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by
rw [← memℒp_one_iff_integrable]
exact hf.norm_rpow hp_ne_zero hp_ne_top
#align measure_theory.mem_ℒp.integrable_norm_rpow MeasureTheory.Memℒp.integrable_norm_rpow
theorem Memℒp.integrable_norm_rpow' [IsFiniteMeasure μ] {f : α → β} {p : ℝ≥0∞} (hf : Memℒp f p μ) :
Integrable (fun x : α => ‖f x‖ ^ p.toReal) μ := by
by_cases h_zero : p = 0
· simp [h_zero, integrable_const]
by_cases h_top : p = ∞
· simp [h_top, integrable_const]
exact hf.integrable_norm_rpow h_zero h_top
#align measure_theory.mem_ℒp.integrable_norm_rpow' MeasureTheory.Memℒp.integrable_norm_rpow'
theorem Integrable.mono_measure {f : α → β} (h : Integrable f ν) (hμ : μ ≤ ν) : Integrable f μ :=
⟨h.aestronglyMeasurable.mono_measure hμ, h.hasFiniteIntegral.mono_measure hμ⟩
#align measure_theory.integrable.mono_measure MeasureTheory.Integrable.mono_measure
theorem Integrable.of_measure_le_smul {μ' : Measure α} (c : ℝ≥0∞) (hc : c ≠ ∞) (hμ'_le : μ' ≤ c • μ)
{f : α → β} (hf : Integrable f μ) : Integrable f μ' := by
rw [← memℒp_one_iff_integrable] at hf ⊢
exact hf.of_measure_le_smul c hc hμ'_le
#align measure_theory.integrable.of_measure_le_smul MeasureTheory.Integrable.of_measure_le_smul
theorem Integrable.add_measure {f : α → β} (hμ : Integrable f μ) (hν : Integrable f ν) :
Integrable f (μ + ν) := by
simp_rw [← memℒp_one_iff_integrable] at hμ hν ⊢
refine ⟨hμ.aestronglyMeasurable.add_measure hν.aestronglyMeasurable, ?_⟩
rw [snorm_one_add_measure, ENNReal.add_lt_top]
exact ⟨hμ.snorm_lt_top, hν.snorm_lt_top⟩
#align measure_theory.integrable.add_measure MeasureTheory.Integrable.add_measure
theorem Integrable.left_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) : Integrable f μ := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.left_of_add_measure
#align measure_theory.integrable.left_of_add_measure MeasureTheory.Integrable.left_of_add_measure
theorem Integrable.right_of_add_measure {f : α → β} (h : Integrable f (μ + ν)) :
Integrable f ν := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.right_of_add_measure
#align measure_theory.integrable.right_of_add_measure MeasureTheory.Integrable.right_of_add_measure
@[simp]
theorem integrable_add_measure {f : α → β} :
Integrable f (μ + ν) ↔ Integrable f μ ∧ Integrable f ν :=
⟨fun h => ⟨h.left_of_add_measure, h.right_of_add_measure⟩, fun h => h.1.add_measure h.2⟩
#align measure_theory.integrable_add_measure MeasureTheory.integrable_add_measure
@[simp]
theorem integrable_zero_measure {_ : MeasurableSpace α} {f : α → β} :
Integrable f (0 : Measure α) :=
⟨aestronglyMeasurable_zero_measure f, hasFiniteIntegral_zero_measure f⟩
#align measure_theory.integrable_zero_measure MeasureTheory.integrable_zero_measure
theorem integrable_finset_sum_measure {ι} {m : MeasurableSpace α} {f : α → β} {μ : ι → Measure α}
{s : Finset ι} : Integrable f (∑ i ∈ s, μ i) ↔ ∀ i ∈ s, Integrable f (μ i) := by
induction s using Finset.induction_on <;> simp [*]
#align measure_theory.integrable_finset_sum_measure MeasureTheory.integrable_finset_sum_measure
theorem Integrable.smul_measure {f : α → β} (h : Integrable f μ) {c : ℝ≥0∞} (hc : c ≠ ∞) :
Integrable f (c • μ) := by
rw [← memℒp_one_iff_integrable] at h ⊢
exact h.smul_measure hc
#align measure_theory.integrable.smul_measure MeasureTheory.Integrable.smul_measure
theorem Integrable.smul_measure_nnreal {f : α → β} (h : Integrable f μ) {c : ℝ≥0} :
Integrable f (c • μ) := by
apply h.smul_measure
simp
theorem integrable_smul_measure {f : α → β} {c : ℝ≥0∞} (h₁ : c ≠ 0) (h₂ : c ≠ ∞) :
Integrable f (c • μ) ↔ Integrable f μ :=
⟨fun h => by
simpa only [smul_smul, ENNReal.inv_mul_cancel h₁ h₂, one_smul] using
h.smul_measure (ENNReal.inv_ne_top.2 h₁),
fun h => h.smul_measure h₂⟩
#align measure_theory.integrable_smul_measure MeasureTheory.integrable_smul_measure
theorem integrable_inv_smul_measure {f : α → β} {c : ℝ≥0∞} (h₁ : c ≠ 0) (h₂ : c ≠ ∞) :
Integrable f (c⁻¹ • μ) ↔ Integrable f μ :=
integrable_smul_measure (by simpa using h₂) (by simpa using h₁)
#align measure_theory.integrable_inv_smul_measure MeasureTheory.integrable_inv_smul_measure
theorem Integrable.to_average {f : α → β} (h : Integrable f μ) : Integrable f ((μ univ)⁻¹ • μ) := by
rcases eq_or_ne μ 0 with (rfl | hne)
· rwa [smul_zero]
· apply h.smul_measure
simpa
#align measure_theory.integrable.to_average MeasureTheory.Integrable.to_average
theorem integrable_average [IsFiniteMeasure μ] {f : α → β} :
Integrable f ((μ univ)⁻¹ • μ) ↔ Integrable f μ :=
(eq_or_ne μ 0).by_cases (fun h => by simp [h]) fun h =>
integrable_smul_measure (ENNReal.inv_ne_zero.2 <| measure_ne_top _ _)
(ENNReal.inv_ne_top.2 <| mt Measure.measure_univ_eq_zero.1 h)
#align measure_theory.integrable_average MeasureTheory.integrable_average
theorem integrable_map_measure {f : α → δ} {g : δ → β}
(hg : AEStronglyMeasurable g (Measure.map f μ)) (hf : AEMeasurable f μ) :
Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact memℒp_map_measure_iff hg hf
#align measure_theory.integrable_map_measure MeasureTheory.integrable_map_measure
theorem Integrable.comp_aemeasurable {f : α → δ} {g : δ → β} (hg : Integrable g (Measure.map f μ))
(hf : AEMeasurable f μ) : Integrable (g ∘ f) μ :=
(integrable_map_measure hg.aestronglyMeasurable hf).mp hg
#align measure_theory.integrable.comp_ae_measurable MeasureTheory.Integrable.comp_aemeasurable
theorem Integrable.comp_measurable {f : α → δ} {g : δ → β} (hg : Integrable g (Measure.map f μ))
(hf : Measurable f) : Integrable (g ∘ f) μ :=
hg.comp_aemeasurable hf.aemeasurable
#align measure_theory.integrable.comp_measurable MeasureTheory.Integrable.comp_measurable
theorem _root_.MeasurableEmbedding.integrable_map_iff {f : α → δ} (hf : MeasurableEmbedding f)
{g : δ → β} : Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact hf.memℒp_map_measure_iff
#align measurable_embedding.integrable_map_iff MeasurableEmbedding.integrable_map_iff
theorem integrable_map_equiv (f : α ≃ᵐ δ) (g : δ → β) :
Integrable g (Measure.map f μ) ↔ Integrable (g ∘ f) μ := by
simp_rw [← memℒp_one_iff_integrable]
exact f.memℒp_map_measure_iff
#align measure_theory.integrable_map_equiv MeasureTheory.integrable_map_equiv
theorem MeasurePreserving.integrable_comp {ν : Measure δ} {g : δ → β} {f : α → δ}
(hf : MeasurePreserving f μ ν) (hg : AEStronglyMeasurable g ν) :
Integrable (g ∘ f) μ ↔ Integrable g ν := by
rw [← hf.map_eq] at hg ⊢
exact (integrable_map_measure hg hf.measurable.aemeasurable).symm
#align measure_theory.measure_preserving.integrable_comp MeasureTheory.MeasurePreserving.integrable_comp
theorem MeasurePreserving.integrable_comp_emb {f : α → δ} {ν} (h₁ : MeasurePreserving f μ ν)
(h₂ : MeasurableEmbedding f) {g : δ → β} : Integrable (g ∘ f) μ ↔ Integrable g ν :=
h₁.map_eq ▸ Iff.symm h₂.integrable_map_iff
#align measure_theory.measure_preserving.integrable_comp_emb MeasureTheory.MeasurePreserving.integrable_comp_emb
theorem lintegral_edist_lt_top {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
(∫⁻ a, edist (f a) (g a) ∂μ) < ∞ :=
lt_of_le_of_lt (lintegral_edist_triangle hf.aestronglyMeasurable aestronglyMeasurable_zero)
(ENNReal.add_lt_top.2 <| by
simp_rw [Pi.zero_apply, ← hasFiniteIntegral_iff_edist]
exact ⟨hf.hasFiniteIntegral, hg.hasFiniteIntegral⟩)
#align measure_theory.lintegral_edist_lt_top MeasureTheory.lintegral_edist_lt_top
variable (α β μ)
@[simp]
theorem integrable_zero : Integrable (fun _ => (0 : β)) μ := by
simp [Integrable, aestronglyMeasurable_const]
#align measure_theory.integrable_zero MeasureTheory.integrable_zero
variable {α β μ}
theorem Integrable.add' {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
HasFiniteIntegral (f + g) μ :=
calc
(∫⁻ a, ‖f a + g a‖₊ ∂μ) ≤ ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ :=
lintegral_mono fun a => by
-- After leanprover/lean4#2734, we need to do beta reduction before `exact mod_cast`
beta_reduce
exact mod_cast nnnorm_add_le _ _
_ = _ := lintegral_nnnorm_add_left hf.aestronglyMeasurable _
_ < ∞ := add_lt_top.2 ⟨hf.hasFiniteIntegral, hg.hasFiniteIntegral⟩
#align measure_theory.integrable.add' MeasureTheory.Integrable.add'
theorem Integrable.add {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
Integrable (f + g) μ :=
⟨hf.aestronglyMeasurable.add hg.aestronglyMeasurable, hf.add' hg⟩
#align measure_theory.integrable.add MeasureTheory.Integrable.add
theorem integrable_finset_sum' {ι} (s : Finset ι) {f : ι → α → β}
(hf : ∀ i ∈ s, Integrable (f i) μ) : Integrable (∑ i ∈ s, f i) μ :=
Finset.sum_induction f (fun g => Integrable g μ) (fun _ _ => Integrable.add)
(integrable_zero _ _ _) hf
#align measure_theory.integrable_finset_sum' MeasureTheory.integrable_finset_sum'
theorem integrable_finset_sum {ι} (s : Finset ι) {f : ι → α → β}
(hf : ∀ i ∈ s, Integrable (f i) μ) : Integrable (fun a => ∑ i ∈ s, f i a) μ := by
simpa only [← Finset.sum_apply] using integrable_finset_sum' s hf
#align measure_theory.integrable_finset_sum MeasureTheory.integrable_finset_sum
theorem Integrable.neg {f : α → β} (hf : Integrable f μ) : Integrable (-f) μ :=
⟨hf.aestronglyMeasurable.neg, hf.hasFiniteIntegral.neg⟩
#align measure_theory.integrable.neg MeasureTheory.Integrable.neg
@[simp]
theorem integrable_neg_iff {f : α → β} : Integrable (-f) μ ↔ Integrable f μ :=
⟨fun h => neg_neg f ▸ h.neg, Integrable.neg⟩
#align measure_theory.integrable_neg_iff MeasureTheory.integrable_neg_iff
@[simp]
lemma integrable_add_iff_integrable_right {f g : α → β} (hf : Integrable f μ) :
Integrable (f + g) μ ↔ Integrable g μ :=
⟨fun h ↦ show g = f + g + (-f) by simp only [add_neg_cancel_comm] ▸ h.add hf.neg,
fun h ↦ hf.add h⟩
@[simp]
lemma integrable_add_iff_integrable_left {f g : α → β} (hf : Integrable f μ) :
Integrable (g + f) μ ↔ Integrable g μ := by
rw [add_comm, integrable_add_iff_integrable_right hf]
lemma integrable_left_of_integrable_add_of_nonneg {f g : α → ℝ}
(h_meas : AEStronglyMeasurable f μ) (hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g)
(h_int : Integrable (f + g) μ) : Integrable f μ := by
refine h_int.mono' h_meas ?_
filter_upwards [hf, hg] with a haf hag
exact (Real.norm_of_nonneg haf).symm ▸ (le_add_iff_nonneg_right _).mpr hag
lemma integrable_right_of_integrable_add_of_nonneg {f g : α → ℝ}
(h_meas : AEStronglyMeasurable f μ) (hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g)
(h_int : Integrable (f + g) μ) : Integrable g μ :=
integrable_left_of_integrable_add_of_nonneg
((AEStronglyMeasurable.add_iff_right h_meas).mp h_int.aestronglyMeasurable)
hg hf (add_comm f g ▸ h_int)
lemma integrable_add_iff_of_nonneg {f g : α → ℝ} (h_meas : AEStronglyMeasurable f μ)
(hf : 0 ≤ᵐ[μ] f) (hg : 0 ≤ᵐ[μ] g) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ :=
⟨fun h ↦ ⟨integrable_left_of_integrable_add_of_nonneg h_meas hf hg h,
integrable_right_of_integrable_add_of_nonneg h_meas hf hg h⟩, fun ⟨hf, hg⟩ ↦ hf.add hg⟩
lemma integrable_add_iff_of_nonpos {f g : α → ℝ} (h_meas : AEStronglyMeasurable f μ)
(hf : f ≤ᵐ[μ] 0) (hg : g ≤ᵐ[μ] 0) :
Integrable (f + g) μ ↔ Integrable f μ ∧ Integrable g μ := by
rw [← integrable_neg_iff, ← integrable_neg_iff (f := f), ← integrable_neg_iff (f := g), neg_add]
exact integrable_add_iff_of_nonneg h_meas.neg (hf.mono (fun _ ↦ neg_nonneg_of_nonpos))
(hg.mono (fun _ ↦ neg_nonneg_of_nonpos))
@[simp]
lemma integrable_add_const_iff [IsFiniteMeasure μ] {f : α → β} {c : β} :
Integrable (fun x ↦ f x + c) μ ↔ Integrable f μ :=
integrable_add_iff_integrable_left (integrable_const _)
@[simp]
lemma integrable_const_add_iff [IsFiniteMeasure μ] {f : α → β} {c : β} :
Integrable (fun x ↦ c + f x) μ ↔ Integrable f μ :=
integrable_add_iff_integrable_right (integrable_const _)
theorem Integrable.sub {f g : α → β} (hf : Integrable f μ) (hg : Integrable g μ) :
Integrable (f - g) μ := by simpa only [sub_eq_add_neg] using hf.add hg.neg
#align measure_theory.integrable.sub MeasureTheory.Integrable.sub
theorem Integrable.norm {f : α → β} (hf : Integrable f μ) : Integrable (fun a => ‖f a‖) μ :=
⟨hf.aestronglyMeasurable.norm, hf.hasFiniteIntegral.norm⟩
#align measure_theory.integrable.norm MeasureTheory.Integrable.norm
theorem Integrable.inf {β} [NormedLatticeAddCommGroup β] {f g : α → β} (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⊓ g) μ := by
rw [← memℒp_one_iff_integrable] at hf hg ⊢
exact hf.inf hg
#align measure_theory.integrable.inf MeasureTheory.Integrable.inf
theorem Integrable.sup {β} [NormedLatticeAddCommGroup β] {f g : α → β} (hf : Integrable f μ)
(hg : Integrable g μ) : Integrable (f ⊔ g) μ := by
rw [← memℒp_one_iff_integrable] at hf hg ⊢
exact hf.sup hg
#align measure_theory.integrable.sup MeasureTheory.Integrable.sup
theorem Integrable.abs {β} [NormedLatticeAddCommGroup β] {f : α → β} (hf : Integrable f μ) :
Integrable (fun a => |f a|) μ := by
rw [← memℒp_one_iff_integrable] at hf ⊢
exact hf.abs
#align measure_theory.integrable.abs MeasureTheory.Integrable.abs
theorem Integrable.bdd_mul {F : Type*} [NormedDivisionRing F] {f g : α → F} (hint : Integrable g μ)
(hm : AEStronglyMeasurable f μ) (hfbdd : ∃ C, ∀ x, ‖f x‖ ≤ C) :
Integrable (fun x => f x * g x) μ := by
cases' isEmpty_or_nonempty α with hα hα
· rw [μ.eq_zero_of_isEmpty]
exact integrable_zero_measure
· refine ⟨hm.mul hint.1, ?_⟩
obtain ⟨C, hC⟩ := hfbdd
have hCnonneg : 0 ≤ C := le_trans (norm_nonneg _) (hC hα.some)
have : (fun x => ‖f x * g x‖₊) ≤ fun x => ⟨C, hCnonneg⟩ * ‖g x‖₊ := by
intro x
simp only [nnnorm_mul]
exact mul_le_mul_of_nonneg_right (hC x) (zero_le _)
refine lt_of_le_of_lt (lintegral_mono_nnreal this) ?_
simp only [ENNReal.coe_mul]
rw [lintegral_const_mul' _ _ ENNReal.coe_ne_top]
exact ENNReal.mul_lt_top ENNReal.coe_ne_top (ne_of_lt hint.2)
#align measure_theory.integrable.bdd_mul MeasureTheory.Integrable.bdd_mul
theorem Integrable.essSup_smul {𝕜 : Type*} [NormedField 𝕜] [NormedSpace 𝕜 β] {f : α → β}
(hf : Integrable f μ) {g : α → 𝕜} (g_aestronglyMeasurable : AEStronglyMeasurable g μ)
(ess_sup_g : essSup (fun x => (‖g x‖₊ : ℝ≥0∞)) μ ≠ ∞) :
Integrable (fun x : α => g x • f x) μ := by
rw [← memℒp_one_iff_integrable] at *
refine ⟨g_aestronglyMeasurable.smul hf.1, ?_⟩
have h : (1 : ℝ≥0∞) / 1 = 1 / ∞ + 1 / 1 := by norm_num
have hg' : snorm g ∞ μ ≠ ∞ := by rwa [snorm_exponent_top]
calc
snorm (fun x : α => g x • f x) 1 μ ≤ _ := by
simpa using MeasureTheory.snorm_smul_le_mul_snorm hf.1 g_aestronglyMeasurable h
_ < ∞ := ENNReal.mul_lt_top hg' hf.2.ne
#align measure_theory.integrable.ess_sup_smul MeasureTheory.Integrable.essSup_smul
theorem Integrable.smul_essSup {𝕜 : Type*} [NormedRing 𝕜] [Module 𝕜 β] [BoundedSMul 𝕜 β]
{f : α → 𝕜} (hf : Integrable f μ) {g : α → β}
(g_aestronglyMeasurable : AEStronglyMeasurable g μ)
(ess_sup_g : essSup (fun x => (‖g x‖₊ : ℝ≥0∞)) μ ≠ ∞) :
Integrable (fun x : α => f x • g x) μ := by
rw [← memℒp_one_iff_integrable] at *
refine ⟨hf.1.smul g_aestronglyMeasurable, ?_⟩
have h : (1 : ℝ≥0∞) / 1 = 1 / 1 + 1 / ∞ := by norm_num
have hg' : snorm g ∞ μ ≠ ∞ := by rwa [snorm_exponent_top]
calc
snorm (fun x : α => f x • g x) 1 μ ≤ _ := by
simpa using MeasureTheory.snorm_smul_le_mul_snorm g_aestronglyMeasurable hf.1 h
_ < ∞ := ENNReal.mul_lt_top hf.2.ne hg'
#align measure_theory.integrable.smul_ess_sup MeasureTheory.Integrable.smul_essSup
| Mathlib/MeasureTheory/Function/L1Space.lean | 825 | 827 | theorem integrable_norm_iff {f : α → β} (hf : AEStronglyMeasurable f μ) :
Integrable (fun a => ‖f a‖) μ ↔ Integrable f μ := by |
simp_rw [Integrable, and_iff_right hf, and_iff_right hf.norm, hasFiniteIntegral_norm_iff]
|
import Mathlib.Topology.Algebra.InfiniteSum.Defs
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Topology.Algebra.Monoid
noncomputable section
open Filter Finset Function
open scoped Topology
variable {α β γ δ : Type*}
section HasProd
variable [CommMonoid α] [TopologicalSpace α]
variable {f g : β → α} {a b : α} {s : Finset β}
@[to_additive "Constant zero function has sum `0`"]
theorem hasProd_one : HasProd (fun _ ↦ 1 : β → α) 1 := by simp [HasProd, tendsto_const_nhds]
#align has_sum_zero hasSum_zero
@[to_additive]
theorem hasProd_empty [IsEmpty β] : HasProd f 1 := by
convert @hasProd_one α β _ _
#align has_sum_empty hasSum_empty
@[to_additive]
theorem multipliable_one : Multipliable (fun _ ↦ 1 : β → α) :=
hasProd_one.multipliable
#align summable_zero summable_zero
@[to_additive]
theorem multipliable_empty [IsEmpty β] : Multipliable f :=
hasProd_empty.multipliable
#align summable_empty summable_empty
@[to_additive]
theorem multipliable_congr (hfg : ∀ b, f b = g b) : Multipliable f ↔ Multipliable g :=
iff_of_eq (congr_arg Multipliable <| funext hfg)
#align summable_congr summable_congr
@[to_additive]
theorem Multipliable.congr (hf : Multipliable f) (hfg : ∀ b, f b = g b) : Multipliable g :=
(multipliable_congr hfg).mp hf
#align summable.congr Summable.congr
@[to_additive]
lemma HasProd.congr_fun (hf : HasProd f a) (h : ∀ x : β, g x = f x) : HasProd g a :=
(funext h : g = f) ▸ hf
@[to_additive]
theorem HasProd.hasProd_of_prod_eq {g : γ → α}
(h_eq : ∀ u : Finset γ, ∃ v : Finset β, ∀ v', v ⊆ v' →
∃ u', u ⊆ u' ∧ ∏ x ∈ u', g x = ∏ b ∈ v', f b)
(hf : HasProd g a) : HasProd f a :=
le_trans (map_atTop_finset_prod_le_of_prod_eq h_eq) hf
#align has_sum.has_sum_of_sum_eq HasSum.hasSum_of_sum_eq
@[to_additive]
theorem hasProd_iff_hasProd {g : γ → α}
(h₁ : ∀ u : Finset γ, ∃ v : Finset β, ∀ v', v ⊆ v' →
∃ u', u ⊆ u' ∧ ∏ x ∈ u', g x = ∏ b ∈ v', f b)
(h₂ : ∀ v : Finset β, ∃ u : Finset γ, ∀ u', u ⊆ u' →
∃ v', v ⊆ v' ∧ ∏ b ∈ v', f b = ∏ x ∈ u', g x) :
HasProd f a ↔ HasProd g a :=
⟨HasProd.hasProd_of_prod_eq h₂, HasProd.hasProd_of_prod_eq h₁⟩
#align has_sum_iff_has_sum hasSum_iff_hasSum
@[to_additive]
theorem Function.Injective.multipliable_iff {g : γ → β} (hg : Injective g)
(hf : ∀ x ∉ Set.range g, f x = 1) : Multipliable (f ∘ g) ↔ Multipliable f :=
exists_congr fun _ ↦ hg.hasProd_iff hf
#align function.injective.summable_iff Function.Injective.summable_iff
@[to_additive (attr := simp)] theorem hasProd_extend_one {g : β → γ} (hg : Injective g) :
HasProd (extend g f 1) a ↔ HasProd f a := by
rw [← hg.hasProd_iff, extend_comp hg]
exact extend_apply' _ _
@[to_additive (attr := simp)] theorem multipliable_extend_one {g : β → γ} (hg : Injective g) :
Multipliable (extend g f 1) ↔ Multipliable f :=
exists_congr fun _ ↦ hasProd_extend_one hg
@[to_additive]
theorem hasProd_subtype_iff_mulIndicator {s : Set β} :
HasProd (f ∘ (↑) : s → α) a ↔ HasProd (s.mulIndicator f) a := by
rw [← Set.mulIndicator_range_comp, Subtype.range_coe,
hasProd_subtype_iff_of_mulSupport_subset Set.mulSupport_mulIndicator_subset]
#align has_sum_subtype_iff_indicator hasSum_subtype_iff_indicator
@[to_additive]
theorem multipliable_subtype_iff_mulIndicator {s : Set β} :
Multipliable (f ∘ (↑) : s → α) ↔ Multipliable (s.mulIndicator f) :=
exists_congr fun _ ↦ hasProd_subtype_iff_mulIndicator
#align summable_subtype_iff_indicator summable_subtype_iff_indicator
@[to_additive (attr := simp)]
theorem hasProd_subtype_mulSupport : HasProd (f ∘ (↑) : mulSupport f → α) a ↔ HasProd f a :=
hasProd_subtype_iff_of_mulSupport_subset <| Set.Subset.refl _
#align has_sum_subtype_support hasSum_subtype_support
@[to_additive]
protected theorem Finset.multipliable (s : Finset β) (f : β → α) :
Multipliable (f ∘ (↑) : (↑s : Set β) → α) :=
(s.hasProd f).multipliable
#align finset.summable Finset.summable
@[to_additive]
protected theorem Set.Finite.multipliable {s : Set β} (hs : s.Finite) (f : β → α) :
Multipliable (f ∘ (↑) : s → α) := by
have := hs.toFinset.multipliable f
rwa [hs.coe_toFinset] at this
#align set.finite.summable Set.Finite.summable
@[to_additive]
theorem multipliable_of_finite_mulSupport (h : (mulSupport f).Finite) : Multipliable f := by
apply multipliable_of_ne_finset_one (s := h.toFinset); simp
@[to_additive]
theorem hasProd_single {f : β → α} (b : β) (hf : ∀ (b') (_ : b' ≠ b), f b' = 1) : HasProd f (f b) :=
suffices HasProd f (∏ b' ∈ {b}, f b') by simpa using this
hasProd_prod_of_ne_finset_one <| by simpa [hf]
#align has_sum_single hasSum_single
@[to_additive (attr := simp)] lemma hasProd_unique [Unique β] (f : β → α) : HasProd f (f default) :=
hasProd_single default (fun _ hb ↦ False.elim <| hb <| Unique.uniq ..)
@[to_additive (attr := simp)]
lemma hasProd_singleton (m : β) (f : β → α) : HasProd (({m} : Set β).restrict f) (f m) :=
hasProd_unique (Set.restrict {m} f)
@[to_additive]
theorem hasProd_ite_eq (b : β) [DecidablePred (· = b)] (a : α) :
HasProd (fun b' ↦ if b' = b then a else 1) a := by
convert @hasProd_single _ _ _ _ (fun b' ↦ if b' = b then a else 1) b (fun b' hb' ↦ if_neg hb')
exact (if_pos rfl).symm
#align has_sum_ite_eq hasSum_ite_eq
@[to_additive]
theorem Equiv.hasProd_iff (e : γ ≃ β) : HasProd (f ∘ e) a ↔ HasProd f a :=
e.injective.hasProd_iff <| by simp
#align equiv.has_sum_iff Equiv.hasSum_iff
@[to_additive]
theorem Function.Injective.hasProd_range_iff {g : γ → β} (hg : Injective g) :
HasProd (fun x : Set.range g ↦ f x) a ↔ HasProd (f ∘ g) a :=
(Equiv.ofInjective g hg).hasProd_iff.symm
#align function.injective.has_sum_range_iff Function.Injective.hasSum_range_iff
@[to_additive]
theorem Equiv.multipliable_iff (e : γ ≃ β) : Multipliable (f ∘ e) ↔ Multipliable f :=
exists_congr fun _ ↦ e.hasProd_iff
#align equiv.summable_iff Equiv.summable_iff
@[to_additive]
theorem Equiv.hasProd_iff_of_mulSupport {g : γ → α} (e : mulSupport f ≃ mulSupport g)
(he : ∀ x : mulSupport f, g (e x) = f x) : HasProd f a ↔ HasProd g a := by
have : (g ∘ (↑)) ∘ e = f ∘ (↑) := funext he
rw [← hasProd_subtype_mulSupport, ← this, e.hasProd_iff, hasProd_subtype_mulSupport]
#align equiv.has_sum_iff_of_support Equiv.hasSum_iff_of_support
@[to_additive]
theorem hasProd_iff_hasProd_of_ne_one_bij {g : γ → α} (i : mulSupport g → β)
(hi : Injective i) (hf : mulSupport f ⊆ Set.range i)
(hfg : ∀ x, f (i x) = g x) : HasProd f a ↔ HasProd g a :=
Iff.symm <|
Equiv.hasProd_iff_of_mulSupport
(Equiv.ofBijective (fun x ↦ ⟨i x, fun hx ↦ x.coe_prop <| hfg x ▸ hx⟩)
⟨fun _ _ h ↦ hi <| Subtype.ext_iff.1 h, fun y ↦
(hf y.coe_prop).imp fun _ hx ↦ Subtype.ext hx⟩)
hfg
#align has_sum_iff_has_sum_of_ne_zero_bij hasSum_iff_hasSum_of_ne_zero_bij
@[to_additive]
theorem Equiv.multipliable_iff_of_mulSupport {g : γ → α} (e : mulSupport f ≃ mulSupport g)
(he : ∀ x : mulSupport f, g (e x) = f x) : Multipliable f ↔ Multipliable g :=
exists_congr fun _ ↦ e.hasProd_iff_of_mulSupport he
#align equiv.summable_iff_of_support Equiv.summable_iff_of_support
@[to_additive]
protected theorem HasProd.map [CommMonoid γ] [TopologicalSpace γ] (hf : HasProd f a) {G}
[FunLike G α γ] [MonoidHomClass G α γ] (g : G) (hg : Continuous g) :
HasProd (g ∘ f) (g a) := by
have : (g ∘ fun s : Finset β ↦ ∏ b ∈ s, f b) = fun s : Finset β ↦ ∏ b ∈ s, (g ∘ f) b :=
funext <| map_prod g _
unfold HasProd
rw [← this]
exact (hg.tendsto a).comp hf
#align has_sum.map HasSum.map
@[to_additive]
protected theorem Inducing.hasProd_iff [CommMonoid γ] [TopologicalSpace γ] {G}
[FunLike G α γ] [MonoidHomClass G α γ] {g : G} (hg : Inducing g) (f : β → α) (a : α) :
HasProd (g ∘ f) (g a) ↔ HasProd f a := by
simp_rw [HasProd, comp_apply, ← map_prod]
exact hg.tendsto_nhds_iff.symm
@[to_additive]
protected theorem Multipliable.map [CommMonoid γ] [TopologicalSpace γ] (hf : Multipliable f) {G}
[FunLike G α γ] [MonoidHomClass G α γ] (g : G) (hg : Continuous g) : Multipliable (g ∘ f) :=
(hf.hasProd.map g hg).multipliable
#align summable.map Summable.map
@[to_additive]
protected theorem Multipliable.map_iff_of_leftInverse [CommMonoid γ] [TopologicalSpace γ] {G G'}
[FunLike G α γ] [MonoidHomClass G α γ] [FunLike G' γ α] [MonoidHomClass G' γ α]
(g : G) (g' : G') (hg : Continuous g) (hg' : Continuous g') (hinv : Function.LeftInverse g' g) :
Multipliable (g ∘ f) ↔ Multipliable f :=
⟨fun h ↦ by
have := h.map _ hg'
rwa [← Function.comp.assoc, hinv.id] at this, fun h ↦ h.map _ hg⟩
#align summable.map_iff_of_left_inverse Summable.map_iff_of_leftInverse
@[to_additive]
theorem Multipliable.map_tprod [CommMonoid γ] [TopologicalSpace γ] [T2Space γ] (hf : Multipliable f)
{G} [FunLike G α γ] [MonoidHomClass G α γ] (g : G) (hg : Continuous g) :
g (∏' i, f i) = ∏' i, g (f i) := (HasProd.tprod_eq (HasProd.map hf.hasProd g hg)).symm
@[to_additive]
theorem Inducing.multipliable_iff_tprod_comp_mem_range [CommMonoid γ] [TopologicalSpace γ]
[T2Space γ] {G} [FunLike G α γ] [MonoidHomClass G α γ] {g : G} (hg : Inducing g) (f : β → α) :
Multipliable f ↔ Multipliable (g ∘ f) ∧ ∏' i, g (f i) ∈ Set.range g := by
constructor
· intro hf
constructor
· exact hf.map g hg.continuous
· use ∏' i, f i
exact hf.map_tprod g hg.continuous
· rintro ⟨hgf, a, ha⟩
use a
have := hgf.hasProd
simp_rw [comp_apply, ← ha] at this
exact (hg.hasProd_iff f a).mp this
@[to_additive "A special case of `Summable.map_iff_of_leftInverse` for convenience"]
protected theorem Multipliable.map_iff_of_equiv [CommMonoid γ] [TopologicalSpace γ] {G}
[EquivLike G α γ] [MulEquivClass G α γ] (g : G) (hg : Continuous g)
(hg' : Continuous (EquivLike.inv g : γ → α)) : Multipliable (g ∘ f) ↔ Multipliable f :=
Multipliable.map_iff_of_leftInverse g (g : α ≃* γ).symm hg hg' (EquivLike.left_inv g)
#align summable.map_iff_of_equiv Summable.map_iff_of_equiv
@[to_additive]
theorem Function.Surjective.multipliable_iff_of_hasProd_iff {α' : Type*} [CommMonoid α']
[TopologicalSpace α'] {e : α' → α} (hes : Function.Surjective e) {f : β → α} {g : γ → α'}
(he : ∀ {a}, HasProd f (e a) ↔ HasProd g a) : Multipliable f ↔ Multipliable g :=
hes.exists.trans <| exists_congr <| @he
#align function.surjective.summable_iff_of_has_sum_iff Function.Surjective.summable_iff_of_hasSum_iff
variable [ContinuousMul α]
@[to_additive]
theorem HasProd.mul (hf : HasProd f a) (hg : HasProd g b) :
HasProd (fun b ↦ f b * g b) (a * b) := by
dsimp only [HasProd] at hf hg ⊢
simp_rw [prod_mul_distrib]
exact hf.mul hg
#align has_sum.add HasSum.add
@[to_additive]
theorem Multipliable.mul (hf : Multipliable f) (hg : Multipliable g) :
Multipliable fun b ↦ f b * g b :=
(hf.hasProd.mul hg.hasProd).multipliable
#align summable.add Summable.add
@[to_additive]
theorem hasProd_prod {f : γ → β → α} {a : γ → α} {s : Finset γ} :
(∀ i ∈ s, HasProd (f i) (a i)) → HasProd (fun b ↦ ∏ i ∈ s, f i b) (∏ i ∈ s, a i) := by
classical
exact Finset.induction_on s (by simp only [hasProd_one, prod_empty, forall_true_iff]) <| by
-- Porting note: with some help, `simp` used to be able to close the goal
simp (config := { contextual := true }) only [mem_insert, forall_eq_or_imp, not_false_iff,
prod_insert, and_imp]
exact fun x s _ IH hx h ↦ hx.mul (IH h)
#align has_sum_sum hasSum_sum
@[to_additive]
theorem multipliable_prod {f : γ → β → α} {s : Finset γ} (hf : ∀ i ∈ s, Multipliable (f i)) :
Multipliable fun b ↦ ∏ i ∈ s, f i b :=
(hasProd_prod fun i hi ↦ (hf i hi).hasProd).multipliable
#align summable_sum summable_sum
@[to_additive]
theorem HasProd.mul_disjoint {s t : Set β} (hs : Disjoint s t) (ha : HasProd (f ∘ (↑) : s → α) a)
(hb : HasProd (f ∘ (↑) : t → α) b) : HasProd (f ∘ (↑) : (s ∪ t : Set β) → α) (a * b) := by
rw [hasProd_subtype_iff_mulIndicator] at *
rw [Set.mulIndicator_union_of_disjoint hs]
exact ha.mul hb
#align has_sum.add_disjoint HasSum.add_disjoint
@[to_additive]
theorem hasProd_prod_disjoint {ι} (s : Finset ι) {t : ι → Set β} {a : ι → α}
(hs : (s : Set ι).Pairwise (Disjoint on t)) (hf : ∀ i ∈ s, HasProd (f ∘ (↑) : t i → α) (a i)) :
HasProd (f ∘ (↑) : (⋃ i ∈ s, t i) → α) (∏ i ∈ s, a i) := by
simp_rw [hasProd_subtype_iff_mulIndicator] at *
rw [Finset.mulIndicator_biUnion _ _ hs]
exact hasProd_prod hf
#align has_sum_sum_disjoint hasSum_sum_disjoint
@[to_additive]
theorem HasProd.mul_isCompl {s t : Set β} (hs : IsCompl s t) (ha : HasProd (f ∘ (↑) : s → α) a)
(hb : HasProd (f ∘ (↑) : t → α) b) : HasProd f (a * b) := by
simpa [← hs.compl_eq] using
(hasProd_subtype_iff_mulIndicator.1 ha).mul (hasProd_subtype_iff_mulIndicator.1 hb)
#align has_sum.add_is_compl HasSum.add_isCompl
@[to_additive]
theorem HasProd.mul_compl {s : Set β} (ha : HasProd (f ∘ (↑) : s → α) a)
(hb : HasProd (f ∘ (↑) : (sᶜ : Set β) → α) b) : HasProd f (a * b) :=
ha.mul_isCompl isCompl_compl hb
#align has_sum.add_compl HasSum.add_compl
@[to_additive]
theorem Multipliable.mul_compl {s : Set β} (hs : Multipliable (f ∘ (↑) : s → α))
(hsc : Multipliable (f ∘ (↑) : (sᶜ : Set β) → α)) : Multipliable f :=
(hs.hasProd.mul_compl hsc.hasProd).multipliable
#align summable.add_compl Summable.add_compl
@[to_additive]
theorem HasProd.compl_mul {s : Set β} (ha : HasProd (f ∘ (↑) : (sᶜ : Set β) → α) a)
(hb : HasProd (f ∘ (↑) : s → α) b) : HasProd f (a * b) :=
ha.mul_isCompl isCompl_compl.symm hb
#align has_sum.compl_add HasSum.compl_add
@[to_additive]
theorem Multipliable.compl_add {s : Set β} (hs : Multipliable (f ∘ (↑) : (sᶜ : Set β) → α))
(hsc : Multipliable (f ∘ (↑) : s → α)) : Multipliable f :=
(hs.hasProd.compl_mul hsc.hasProd).multipliable
#align summable.compl_add Summable.compl_add
@[to_additive "Version of `HasSum.update` for `AddCommMonoid` rather than `AddCommGroup`.
Rather than showing that `f.update` has a specific sum in terms of `HasSum`,
it gives a relationship between the sums of `f` and `f.update` given that both exist."]
| Mathlib/Topology/Algebra/InfiniteSum/Basic.lean | 353 | 363 | theorem HasProd.update' {α β : Type*} [TopologicalSpace α] [CommMonoid α] [T2Space α]
[ContinuousMul α] [DecidableEq β] {f : β → α} {a a' : α} (hf : HasProd f a) (b : β) (x : α)
(hf' : HasProd (update f b x) a') : a * x = a' * f b := by |
have : ∀ b', f b' * ite (b' = b) x 1 = update f b x b' * ite (b' = b) (f b) 1 := by
intro b'
split_ifs with hb'
· simpa only [Function.update_apply, hb', eq_self_iff_true] using mul_comm (f b) x
· simp only [Function.update_apply, hb', if_false]
have h := hf.mul (hasProd_ite_eq b x)
simp_rw [this] at h
exact HasProd.unique h (hf'.mul (hasProd_ite_eq b (f b)))
|
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.integral.average from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open ENNReal MeasureTheory MeasureTheory.Measure Metric Set Filter TopologicalSpace Function
open scoped Topology ENNReal Convex
variable {α E F : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {μ ν : Measure α}
{s t : Set α}
namespace MeasureTheory
section ENNReal
variable (μ) {f g : α → ℝ≥0∞}
noncomputable def laverage (f : α → ℝ≥0∞) := ∫⁻ x, f x ∂(μ univ)⁻¹ • μ
#align measure_theory.laverage MeasureTheory.laverage
notation3 "⨍⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => laverage μ r
notation3 "⨍⁻ "(...)", "r:60:(scoped f => laverage volume f) => r
notation3 "⨍⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => laverage (Measure.restrict μ s) r
notation3 (prettyPrint := false)
"⨍⁻ "(...)" in "s", "r:60:(scoped f => laverage Measure.restrict volume s f) => r
@[simp]
theorem laverage_zero : ⨍⁻ _x, (0 : ℝ≥0∞) ∂μ = 0 := by rw [laverage, lintegral_zero]
#align measure_theory.laverage_zero MeasureTheory.laverage_zero
@[simp]
theorem laverage_zero_measure (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂(0 : Measure α) = 0 := by simp [laverage]
#align measure_theory.laverage_zero_measure MeasureTheory.laverage_zero_measure
theorem laverage_eq' (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂(μ univ)⁻¹ • μ := rfl
#align measure_theory.laverage_eq' MeasureTheory.laverage_eq'
theorem laverage_eq (f : α → ℝ≥0∞) : ⨍⁻ x, f x ∂μ = (∫⁻ x, f x ∂μ) / μ univ := by
rw [laverage_eq', lintegral_smul_measure, ENNReal.div_eq_inv_mul]
#align measure_theory.laverage_eq MeasureTheory.laverage_eq
theorem laverage_eq_lintegral [IsProbabilityMeasure μ] (f : α → ℝ≥0∞) :
⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂μ := by rw [laverage, measure_univ, inv_one, one_smul]
#align measure_theory.laverage_eq_lintegral MeasureTheory.laverage_eq_lintegral
@[simp]
theorem measure_mul_laverage [IsFiniteMeasure μ] (f : α → ℝ≥0∞) :
μ univ * ⨍⁻ x, f x ∂μ = ∫⁻ x, f x ∂μ := by
rcases eq_or_ne μ 0 with hμ | hμ
· rw [hμ, lintegral_zero_measure, laverage_zero_measure, mul_zero]
· rw [laverage_eq, ENNReal.mul_div_cancel' (measure_univ_ne_zero.2 hμ) (measure_ne_top _ _)]
#align measure_theory.measure_mul_laverage MeasureTheory.measure_mul_laverage
theorem setLaverage_eq (f : α → ℝ≥0∞) (s : Set α) :
⨍⁻ x in s, f x ∂μ = (∫⁻ x in s, f x ∂μ) / μ s := by rw [laverage_eq, restrict_apply_univ]
#align measure_theory.set_laverage_eq MeasureTheory.setLaverage_eq
theorem setLaverage_eq' (f : α → ℝ≥0∞) (s : Set α) :
⨍⁻ x in s, f x ∂μ = ∫⁻ x, f x ∂(μ s)⁻¹ • μ.restrict s := by
simp only [laverage_eq', restrict_apply_univ]
#align measure_theory.set_laverage_eq' MeasureTheory.setLaverage_eq'
variable {μ}
theorem laverage_congr {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ⨍⁻ x, f x ∂μ = ⨍⁻ x, g x ∂μ := by
simp only [laverage_eq, lintegral_congr_ae h]
#align measure_theory.laverage_congr MeasureTheory.laverage_congr
| Mathlib/MeasureTheory/Integral/Average.lean | 149 | 150 | theorem setLaverage_congr (h : s =ᵐ[μ] t) : ⨍⁻ x in s, f x ∂μ = ⨍⁻ x in t, f x ∂μ := by |
simp only [setLaverage_eq, set_lintegral_congr h, measure_congr h]
|
import Mathlib.Probability.Notation
import Mathlib.Probability.Process.Stopping
#align_import probability.martingale.basic from "leanprover-community/mathlib"@"ba074af83b6cf54c3104e59402b39410ddbd6dca"
open TopologicalSpace Filter
open scoped NNReal ENNReal MeasureTheory ProbabilityTheory
namespace MeasureTheory
variable {Ω E ι : Type*} [Preorder ι] {m0 : MeasurableSpace Ω} {μ : Measure Ω}
[NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] {f g : ι → Ω → E} {ℱ : Filtration ι m0}
def Martingale (f : ι → Ω → E) (ℱ : Filtration ι m0) (μ : Measure Ω) : Prop :=
Adapted ℱ f ∧ ∀ i j, i ≤ j → μ[f j|ℱ i] =ᵐ[μ] f i
#align measure_theory.martingale MeasureTheory.Martingale
def Supermartingale [LE E] (f : ι → Ω → E) (ℱ : Filtration ι m0) (μ : Measure Ω) : Prop :=
Adapted ℱ f ∧ (∀ i j, i ≤ j → μ[f j|ℱ i] ≤ᵐ[μ] f i) ∧ ∀ i, Integrable (f i) μ
#align measure_theory.supermartingale MeasureTheory.Supermartingale
def Submartingale [LE E] (f : ι → Ω → E) (ℱ : Filtration ι m0) (μ : Measure Ω) : Prop :=
Adapted ℱ f ∧ (∀ i j, i ≤ j → f i ≤ᵐ[μ] μ[f j|ℱ i]) ∧ ∀ i, Integrable (f i) μ
#align measure_theory.submartingale MeasureTheory.Submartingale
theorem martingale_const (ℱ : Filtration ι m0) (μ : Measure Ω) [IsFiniteMeasure μ] (x : E) :
Martingale (fun _ _ => x) ℱ μ :=
⟨adapted_const ℱ _, fun i j _ => by rw [condexp_const (ℱ.le _)]⟩
#align measure_theory.martingale_const MeasureTheory.martingale_const
| Mathlib/Probability/Martingale/Basic.lean | 75 | 79 | theorem martingale_const_fun [OrderBot ι] (ℱ : Filtration ι m0) (μ : Measure Ω) [IsFiniteMeasure μ]
{f : Ω → E} (hf : StronglyMeasurable[ℱ ⊥] f) (hfint : Integrable f μ) :
Martingale (fun _ => f) ℱ μ := by |
refine ⟨fun i => hf.mono <| ℱ.mono bot_le, fun i j _ => ?_⟩
rw [condexp_of_stronglyMeasurable (ℱ.le _) (hf.mono <| ℱ.mono bot_le) hfint]
|
import Batteries.Control.ForInStep.Lemmas
import Batteries.Data.List.Basic
import Batteries.Tactic.Init
import Batteries.Tactic.Alias
namespace List
open Nat
@[simp] theorem mem_toArray {a : α} {l : List α} : a ∈ l.toArray ↔ a ∈ l := by
simp [Array.mem_def]
@[simp]
theorem drop_one : ∀ l : List α, drop 1 l = tail l
| [] | _ :: _ => rfl
theorem zipWith_distrib_tail : (zipWith f l l').tail = zipWith f l.tail l'.tail := by
rw [← drop_one]; simp [zipWith_distrib_drop]
theorem subset_def {l₁ l₂ : List α} : l₁ ⊆ l₂ ↔ ∀ {a : α}, a ∈ l₁ → a ∈ l₂ := .rfl
@[simp] theorem nil_subset (l : List α) : [] ⊆ l := nofun
@[simp] theorem Subset.refl (l : List α) : l ⊆ l := fun _ i => i
theorem Subset.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ ⊆ l₂) (h₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ :=
fun _ i => h₂ (h₁ i)
instance : Trans (Membership.mem : α → List α → Prop) Subset Membership.mem :=
⟨fun h₁ h₂ => h₂ h₁⟩
instance : Trans (Subset : List α → List α → Prop) Subset Subset :=
⟨Subset.trans⟩
@[simp] theorem subset_cons (a : α) (l : List α) : l ⊆ a :: l := fun _ => Mem.tail _
theorem subset_of_cons_subset {a : α} {l₁ l₂ : List α} : a :: l₁ ⊆ l₂ → l₁ ⊆ l₂ :=
fun s _ i => s (mem_cons_of_mem _ i)
theorem subset_cons_of_subset (a : α) {l₁ l₂ : List α} : l₁ ⊆ l₂ → l₁ ⊆ a :: l₂ :=
fun s _ i => .tail _ (s i)
theorem cons_subset_cons {l₁ l₂ : List α} (a : α) (s : l₁ ⊆ l₂) : a :: l₁ ⊆ a :: l₂ :=
fun _ => by simp only [mem_cons]; exact Or.imp_right (@s _)
@[simp] theorem subset_append_left (l₁ l₂ : List α) : l₁ ⊆ l₁ ++ l₂ := fun _ => mem_append_left _
@[simp] theorem subset_append_right (l₁ l₂ : List α) : l₂ ⊆ l₁ ++ l₂ := fun _ => mem_append_right _
theorem subset_append_of_subset_left (l₂ : List α) : l ⊆ l₁ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_left _ _
theorem subset_append_of_subset_right (l₁ : List α) : l ⊆ l₂ → l ⊆ l₁ ++ l₂ :=
fun s => Subset.trans s <| subset_append_right _ _
@[simp] theorem cons_subset : a :: l ⊆ m ↔ a ∈ m ∧ l ⊆ m := by
simp only [subset_def, mem_cons, or_imp, forall_and, forall_eq]
@[simp] theorem append_subset {l₁ l₂ l : List α} :
l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l := by simp [subset_def, or_imp, forall_and]
theorem subset_nil {l : List α} : l ⊆ [] ↔ l = [] :=
⟨fun h => match l with | [] => rfl | _::_ => (nomatch h (.head ..)), fun | rfl => Subset.refl _⟩
theorem map_subset {l₁ l₂ : List α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ :=
fun x => by simp only [mem_map]; exact .imp fun a => .imp_left (@H _)
@[simp] theorem nil_sublist : ∀ l : List α, [] <+ l
| [] => .slnil
| a :: l => (nil_sublist l).cons a
@[simp] theorem Sublist.refl : ∀ l : List α, l <+ l
| [] => .slnil
| a :: l => (Sublist.refl l).cons₂ a
theorem Sublist.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ := by
induction h₂ generalizing l₁ with
| slnil => exact h₁
| cons _ _ IH => exact (IH h₁).cons _
| @cons₂ l₂ _ a _ IH =>
generalize e : a :: l₂ = l₂'
match e ▸ h₁ with
| .slnil => apply nil_sublist
| .cons a' h₁' => cases e; apply (IH h₁').cons
| .cons₂ a' h₁' => cases e; apply (IH h₁').cons₂
instance : Trans (@Sublist α) Sublist Sublist := ⟨Sublist.trans⟩
@[simp] theorem sublist_cons (a : α) (l : List α) : l <+ a :: l := (Sublist.refl l).cons _
theorem sublist_of_cons_sublist : a :: l₁ <+ l₂ → l₁ <+ l₂ :=
(sublist_cons a l₁).trans
@[simp] theorem sublist_append_left : ∀ l₁ l₂ : List α, l₁ <+ l₁ ++ l₂
| [], _ => nil_sublist _
| _ :: l₁, l₂ => (sublist_append_left l₁ l₂).cons₂ _
@[simp] theorem sublist_append_right : ∀ l₁ l₂ : List α, l₂ <+ l₁ ++ l₂
| [], _ => Sublist.refl _
| _ :: l₁, l₂ => (sublist_append_right l₁ l₂).cons _
theorem sublist_append_of_sublist_left (s : l <+ l₁) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_left ..
theorem sublist_append_of_sublist_right (s : l <+ l₂) : l <+ l₁ ++ l₂ :=
s.trans <| sublist_append_right ..
@[simp]
theorem cons_sublist_cons : a :: l₁ <+ a :: l₂ ↔ l₁ <+ l₂ :=
⟨fun | .cons _ s => sublist_of_cons_sublist s | .cons₂ _ s => s, .cons₂ _⟩
@[simp] theorem append_sublist_append_left : ∀ l, l ++ l₁ <+ l ++ l₂ ↔ l₁ <+ l₂
| [] => Iff.rfl
| _ :: l => cons_sublist_cons.trans (append_sublist_append_left l)
theorem Sublist.append_left : l₁ <+ l₂ → ∀ l, l ++ l₁ <+ l ++ l₂ :=
fun h l => (append_sublist_append_left l).mpr h
theorem Sublist.append_right : l₁ <+ l₂ → ∀ l, l₁ ++ l <+ l₂ ++ l
| .slnil, _ => Sublist.refl _
| .cons _ h, _ => (h.append_right _).cons _
| .cons₂ _ h, _ => (h.append_right _).cons₂ _
theorem sublist_or_mem_of_sublist (h : l <+ l₁ ++ a :: l₂) : l <+ l₁ ++ l₂ ∨ a ∈ l := by
induction l₁ generalizing l with
| nil => match h with
| .cons _ h => exact .inl h
| .cons₂ _ h => exact .inr (.head ..)
| cons b l₁ IH =>
match h with
| .cons _ h => exact (IH h).imp_left (Sublist.cons _)
| .cons₂ _ h => exact (IH h).imp (Sublist.cons₂ _) (.tail _)
theorem Sublist.reverse : l₁ <+ l₂ → l₁.reverse <+ l₂.reverse
| .slnil => Sublist.refl _
| .cons _ h => by rw [reverse_cons]; exact sublist_append_of_sublist_left h.reverse
| .cons₂ _ h => by rw [reverse_cons, reverse_cons]; exact h.reverse.append_right _
@[simp] theorem reverse_sublist : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ :=
⟨fun h => l₁.reverse_reverse ▸ l₂.reverse_reverse ▸ h.reverse, Sublist.reverse⟩
@[simp] theorem append_sublist_append_right (l) : l₁ ++ l <+ l₂ ++ l ↔ l₁ <+ l₂ :=
⟨fun h => by
have := h.reverse
simp only [reverse_append, append_sublist_append_left, reverse_sublist] at this
exact this,
fun h => h.append_right l⟩
theorem Sublist.append (hl : l₁ <+ l₂) (hr : r₁ <+ r₂) : l₁ ++ r₁ <+ l₂ ++ r₂ :=
(hl.append_right _).trans ((append_sublist_append_left _).2 hr)
theorem Sublist.subset : l₁ <+ l₂ → l₁ ⊆ l₂
| .slnil, _, h => h
| .cons _ s, _, h => .tail _ (s.subset h)
| .cons₂ .., _, .head .. => .head ..
| .cons₂ _ s, _, .tail _ h => .tail _ (s.subset h)
instance : Trans (@Sublist α) Subset Subset :=
⟨fun h₁ h₂ => trans h₁.subset h₂⟩
instance : Trans Subset (@Sublist α) Subset :=
⟨fun h₁ h₂ => trans h₁ h₂.subset⟩
instance : Trans (Membership.mem : α → List α → Prop) Sublist Membership.mem :=
⟨fun h₁ h₂ => h₂.subset h₁⟩
theorem Sublist.length_le : l₁ <+ l₂ → length l₁ ≤ length l₂
| .slnil => Nat.le_refl 0
| .cons _l s => le_succ_of_le (length_le s)
| .cons₂ _ s => succ_le_succ (length_le s)
@[simp] theorem sublist_nil {l : List α} : l <+ [] ↔ l = [] :=
⟨fun s => subset_nil.1 s.subset, fun H => H ▸ Sublist.refl _⟩
theorem Sublist.eq_of_length : l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂
| .slnil, _ => rfl
| .cons a s, h => nomatch Nat.not_lt.2 s.length_le (h ▸ lt_succ_self _)
| .cons₂ a s, h => by rw [s.eq_of_length (succ.inj h)]
theorem Sublist.eq_of_length_le (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) : l₁ = l₂ :=
s.eq_of_length <| Nat.le_antisymm s.length_le h
@[simp] theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l := by
refine ⟨fun h => h.subset (mem_singleton_self _), fun h => ?_⟩
obtain ⟨_, _, rfl⟩ := append_of_mem h
exact ((nil_sublist _).cons₂ _).trans (sublist_append_right ..)
@[simp] theorem replicate_sublist_replicate {m n} (a : α) :
replicate m a <+ replicate n a ↔ m ≤ n := by
refine ⟨fun h => ?_, fun h => ?_⟩
· have := h.length_le; simp only [length_replicate] at this ⊢; exact this
· induction h with
| refl => apply Sublist.refl
| step => simp [*, replicate, Sublist.cons]
theorem isSublist_iff_sublist [BEq α] [LawfulBEq α] {l₁ l₂ : List α} :
l₁.isSublist l₂ ↔ l₁ <+ l₂ := by
cases l₁ <;> cases l₂ <;> simp [isSublist]
case cons.cons hd₁ tl₁ hd₂ tl₂ =>
if h_eq : hd₁ = hd₂ then
simp [h_eq, cons_sublist_cons, isSublist_iff_sublist]
else
simp only [beq_iff_eq, h_eq]
constructor
· intro h_sub
apply Sublist.cons
exact isSublist_iff_sublist.mp h_sub
· intro h_sub
cases h_sub
case cons h_sub =>
exact isSublist_iff_sublist.mpr h_sub
case cons₂ =>
contradiction
instance [DecidableEq α] (l₁ l₂ : List α) : Decidable (l₁ <+ l₂) :=
decidable_of_iff (l₁.isSublist l₂) isSublist_iff_sublist
theorem tail_eq_tailD (l) : @tail α l = tailD l [] := by cases l <;> rfl
theorem tail_eq_tail? (l) : @tail α l = (tail? l).getD [] := by simp [tail_eq_tailD]
@[simp] theorem next?_nil : @next? α [] = none := rfl
@[simp] theorem next?_cons (a l) : @next? α (a :: l) = some (a, l) := rfl
theorem get_eq_iff : List.get l n = x ↔ l.get? n.1 = some x := by simp [get?_eq_some]
theorem get?_inj
(h₀ : i < xs.length) (h₁ : Nodup xs) (h₂ : xs.get? i = xs.get? j) : i = j := by
induction xs generalizing i j with
| nil => cases h₀
| cons x xs ih =>
match i, j with
| 0, 0 => rfl
| i+1, j+1 => simp; cases h₁ with
| cons ha h₁ => exact ih (Nat.lt_of_succ_lt_succ h₀) h₁ h₂
| i+1, 0 => ?_ | 0, j+1 => ?_
all_goals
simp at h₂
cases h₁; rename_i h' h
have := h x ?_ rfl; cases this
rw [mem_iff_get?]
exact ⟨_, h₂⟩; exact ⟨_ , h₂.symm⟩
theorem tail_drop (l : List α) (n : Nat) : (l.drop n).tail = l.drop (n + 1) := by
induction l generalizing n with
| nil => simp
| cons hd tl hl =>
cases n
· simp
· simp [hl]
@[simp] theorem modifyNth_nil (f : α → α) (n) : [].modifyNth f n = [] := by cases n <;> rfl
@[simp] theorem modifyNth_zero_cons (f : α → α) (a : α) (l : List α) :
(a :: l).modifyNth f 0 = f a :: l := rfl
@[simp] theorem modifyNth_succ_cons (f : α → α) (a : α) (l : List α) (n) :
(a :: l).modifyNth f (n + 1) = a :: l.modifyNth f n := by rfl
theorem modifyNthTail_id : ∀ n (l : List α), l.modifyNthTail id n = l
| 0, _ => rfl
| _+1, [] => rfl
| n+1, a :: l => congrArg (cons a) (modifyNthTail_id n l)
theorem eraseIdx_eq_modifyNthTail : ∀ n (l : List α), eraseIdx l n = modifyNthTail tail n l
| 0, l => by cases l <;> rfl
| n+1, [] => rfl
| n+1, a :: l => congrArg (cons _) (eraseIdx_eq_modifyNthTail _ _)
@[deprecated] alias removeNth_eq_nth_tail := eraseIdx_eq_modifyNthTail
theorem get?_modifyNth (f : α → α) :
∀ n (l : List α) m, (modifyNth f n l).get? m = (fun a => if n = m then f a else a) <$> l.get? m
| n, l, 0 => by cases l <;> cases n <;> rfl
| n, [], _+1 => by cases n <;> rfl
| 0, _ :: l, m+1 => by cases h : l.get? m <;> simp [h, modifyNth, m.succ_ne_zero.symm]
| n+1, a :: l, m+1 =>
(get?_modifyNth f n l m).trans <| by
cases h' : l.get? m <;> by_cases h : n = m <;>
simp [h, if_pos, if_neg, Option.map, mt Nat.succ.inj, not_false_iff, h']
theorem modifyNthTail_length (f : List α → List α) (H : ∀ l, length (f l) = length l) :
∀ n l, length (modifyNthTail f n l) = length l
| 0, _ => H _
| _+1, [] => rfl
| _+1, _ :: _ => congrArg (·+1) (modifyNthTail_length _ H _ _)
| .lake/packages/batteries/Batteries/Data/List/Lemmas.lean | 313 | 315 | theorem modifyNthTail_add (f : List α → List α) (n) (l₁ l₂ : List α) :
modifyNthTail f (l₁.length + n) (l₁ ++ l₂) = l₁ ++ modifyNthTail f n l₂ := by |
induction l₁ <;> simp [*, Nat.succ_add]
|
import Mathlib.Analysis.InnerProductSpace.Projection
import Mathlib.Geometry.Euclidean.PerpBisector
import Mathlib.Algebra.QuadraticDiscriminant
#align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open scoped Classical
open RealInnerProductSpace
namespace EuclideanGeometry
variable {V : Type*} {P : Type*}
variable [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
variable [NormedAddTorsor V P]
theorem dist_left_midpoint_eq_dist_right_midpoint (p1 p2 : P) :
dist p1 (midpoint ℝ p1 p2) = dist p2 (midpoint ℝ p1 p2) := by
rw [dist_left_midpoint (𝕜 := ℝ) p1 p2, dist_right_midpoint (𝕜 := ℝ) p1 p2]
#align euclidean_geometry.dist_left_midpoint_eq_dist_right_midpoint EuclideanGeometry.dist_left_midpoint_eq_dist_right_midpoint
theorem inner_weightedVSub {ι₁ : Type*} {s₁ : Finset ι₁} {w₁ : ι₁ → ℝ} (p₁ : ι₁ → P)
(h₁ : ∑ i ∈ s₁, w₁ i = 0) {ι₂ : Type*} {s₂ : Finset ι₂} {w₂ : ι₂ → ℝ} (p₂ : ι₂ → P)
(h₂ : ∑ i ∈ s₂, w₂ i = 0) :
⟪s₁.weightedVSub p₁ w₁, s₂.weightedVSub p₂ w₂⟫ =
(-∑ i₁ ∈ s₁, ∑ i₂ ∈ s₂, w₁ i₁ * w₂ i₂ * (dist (p₁ i₁) (p₂ i₂) * dist (p₁ i₁) (p₂ i₂))) /
2 := by
rw [Finset.weightedVSub_apply, Finset.weightedVSub_apply,
inner_sum_smul_sum_smul_of_sum_eq_zero _ h₁ _ h₂]
simp_rw [vsub_sub_vsub_cancel_right]
rcongr (i₁ i₂) <;> rw [dist_eq_norm_vsub V (p₁ i₁) (p₂ i₂)]
#align euclidean_geometry.inner_weighted_vsub EuclideanGeometry.inner_weightedVSub
theorem dist_affineCombination {ι : Type*} {s : Finset ι} {w₁ w₂ : ι → ℝ} (p : ι → P)
(h₁ : ∑ i ∈ s, w₁ i = 1) (h₂ : ∑ i ∈ s, w₂ i = 1) : by
have a₁ := s.affineCombination ℝ p w₁
have a₂ := s.affineCombination ℝ p w₂
exact dist a₁ a₂ * dist a₁ a₂ = (-∑ i₁ ∈ s, ∑ i₂ ∈ s,
(w₁ - w₂) i₁ * (w₁ - w₂) i₂ * (dist (p i₁) (p i₂) * dist (p i₁) (p i₂))) / 2 := by
dsimp only
rw [dist_eq_norm_vsub V (s.affineCombination ℝ p w₁) (s.affineCombination ℝ p w₂), ←
@inner_self_eq_norm_mul_norm ℝ, Finset.affineCombination_vsub]
have h : (∑ i ∈ s, (w₁ - w₂) i) = 0 := by
simp_rw [Pi.sub_apply, Finset.sum_sub_distrib, h₁, h₂, sub_self]
exact inner_weightedVSub p h p h
#align euclidean_geometry.dist_affine_combination EuclideanGeometry.dist_affineCombination
-- Porting note: `inner_vsub_vsub_of_dist_eq_of_dist_eq` moved to `PerpendicularBisector`
theorem dist_smul_vadd_sq (r : ℝ) (v : V) (p₁ p₂ : P) :
dist (r • v +ᵥ p₁) p₂ * dist (r • v +ᵥ p₁) p₂ =
⟪v, v⟫ * r * r + 2 * ⟪v, p₁ -ᵥ p₂⟫ * r + ⟪p₁ -ᵥ p₂, p₁ -ᵥ p₂⟫ := by
rw [dist_eq_norm_vsub V _ p₂, ← real_inner_self_eq_norm_mul_norm, vadd_vsub_assoc,
real_inner_add_add_self, real_inner_smul_left, real_inner_smul_left, real_inner_smul_right]
ring
#align euclidean_geometry.dist_smul_vadd_sq EuclideanGeometry.dist_smul_vadd_sq
theorem dist_smul_vadd_eq_dist {v : V} (p₁ p₂ : P) (hv : v ≠ 0) (r : ℝ) :
dist (r • v +ᵥ p₁) p₂ = dist p₁ p₂ ↔ r = 0 ∨ r = -2 * ⟪v, p₁ -ᵥ p₂⟫ / ⟪v, v⟫ := by
conv_lhs =>
rw [← mul_self_inj_of_nonneg dist_nonneg dist_nonneg, dist_smul_vadd_sq, ← sub_eq_zero,
add_sub_assoc, dist_eq_norm_vsub V p₁ p₂, ← real_inner_self_eq_norm_mul_norm, sub_self]
have hvi : ⟪v, v⟫ ≠ 0 := by simpa using hv
have hd : discrim ⟪v, v⟫ (2 * ⟪v, p₁ -ᵥ p₂⟫) 0 = 2 * ⟪v, p₁ -ᵥ p₂⟫ * (2 * ⟪v, p₁ -ᵥ p₂⟫) := by
rw [discrim]
ring
rw [quadratic_eq_zero_iff hvi hd, add_left_neg, zero_div, neg_mul_eq_neg_mul, ←
mul_sub_right_distrib, sub_eq_add_neg, ← mul_two, mul_assoc, mul_div_assoc, mul_div_mul_left,
mul_div_assoc]
norm_num
#align euclidean_geometry.dist_smul_vadd_eq_dist EuclideanGeometry.dist_smul_vadd_eq_dist
open AffineSubspace FiniteDimensional
theorem eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two {s : AffineSubspace ℝ P}
[FiniteDimensional ℝ s.direction] (hd : finrank ℝ s.direction = 2) {c₁ c₂ p₁ p₂ p : P}
(hc₁s : c₁ ∈ s) (hc₂s : c₂ ∈ s) (hp₁s : p₁ ∈ s) (hp₂s : p₂ ∈ s) (hps : p ∈ s) {r₁ r₂ : ℝ}
(hc : c₁ ≠ c₂) (hp : p₁ ≠ p₂) (hp₁c₁ : dist p₁ c₁ = r₁) (hp₂c₁ : dist p₂ c₁ = r₁)
(hpc₁ : dist p c₁ = r₁) (hp₁c₂ : dist p₁ c₂ = r₂) (hp₂c₂ : dist p₂ c₂ = r₂)
(hpc₂ : dist p c₂ = r₂) : p = p₁ ∨ p = p₂ := by
have ho : ⟪c₂ -ᵥ c₁, p₂ -ᵥ p₁⟫ = 0 :=
inner_vsub_vsub_of_dist_eq_of_dist_eq (hp₁c₁.trans hp₂c₁.symm) (hp₁c₂.trans hp₂c₂.symm)
have hop : ⟪c₂ -ᵥ c₁, p -ᵥ p₁⟫ = 0 :=
inner_vsub_vsub_of_dist_eq_of_dist_eq (hp₁c₁.trans hpc₁.symm) (hp₁c₂.trans hpc₂.symm)
let b : Fin 2 → V := ![c₂ -ᵥ c₁, p₂ -ᵥ p₁]
have hb : LinearIndependent ℝ b := by
refine linearIndependent_of_ne_zero_of_inner_eq_zero ?_ ?_
· intro i
fin_cases i <;> simp [b, hc.symm, hp.symm]
· intro i j hij
fin_cases i <;> fin_cases j <;> try exact False.elim (hij rfl)
· exact ho
· rw [real_inner_comm]
exact ho
have hbs : Submodule.span ℝ (Set.range b) = s.direction := by
refine eq_of_le_of_finrank_eq ?_ ?_
· rw [Submodule.span_le, Set.range_subset_iff]
intro i
fin_cases i
· exact vsub_mem_direction hc₂s hc₁s
· exact vsub_mem_direction hp₂s hp₁s
· rw [finrank_span_eq_card hb, Fintype.card_fin, hd]
have hv : ∀ v ∈ s.direction, ∃ t₁ t₂ : ℝ, v = t₁ • (c₂ -ᵥ c₁) + t₂ • (p₂ -ᵥ p₁) := by
intro v hv
have hr : Set.range b = {c₂ -ᵥ c₁, p₂ -ᵥ p₁} := by
have hu : (Finset.univ : Finset (Fin 2)) = {0, 1} := by decide
rw [← Fintype.coe_image_univ, hu]
simp [b]
rw [← hbs, hr, Submodule.mem_span_insert] at hv
rcases hv with ⟨t₁, v', hv', hv⟩
rw [Submodule.mem_span_singleton] at hv'
rcases hv' with ⟨t₂, rfl⟩
exact ⟨t₁, t₂, hv⟩
rcases hv (p -ᵥ p₁) (vsub_mem_direction hps hp₁s) with ⟨t₁, t₂, hpt⟩
simp only [hpt, inner_add_right, inner_smul_right, ho, mul_zero, add_zero,
mul_eq_zero, inner_self_eq_zero, vsub_eq_zero_iff_eq, hc.symm, or_false_iff] at hop
rw [hop, zero_smul, zero_add, ← eq_vadd_iff_vsub_eq] at hpt
subst hpt
have hp' : (p₂ -ᵥ p₁ : V) ≠ 0 := by simp [hp.symm]
have hp₂ : dist ((1 : ℝ) • (p₂ -ᵥ p₁) +ᵥ p₁) c₁ = r₁ := by simp [hp₂c₁]
rw [← hp₁c₁, dist_smul_vadd_eq_dist _ _ hp'] at hpc₁ hp₂
simp only [one_ne_zero, false_or_iff] at hp₂
rw [hp₂.symm] at hpc₁
cases' hpc₁ with hpc₁ hpc₁ <;> simp [hpc₁]
#align euclidean_geometry.eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two EuclideanGeometry.eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two
theorem eq_of_dist_eq_of_dist_eq_of_finrank_eq_two [FiniteDimensional ℝ V] (hd : finrank ℝ V = 2)
{c₁ c₂ p₁ p₂ p : P} {r₁ r₂ : ℝ} (hc : c₁ ≠ c₂) (hp : p₁ ≠ p₂) (hp₁c₁ : dist p₁ c₁ = r₁)
(hp₂c₁ : dist p₂ c₁ = r₁) (hpc₁ : dist p c₁ = r₁) (hp₁c₂ : dist p₁ c₂ = r₂)
(hp₂c₂ : dist p₂ c₂ = r₂) (hpc₂ : dist p c₂ = r₂) : p = p₁ ∨ p = p₂ :=
haveI hd' : finrank ℝ (⊤ : AffineSubspace ℝ P).direction = 2 := by
rw [direction_top, finrank_top]
exact hd
eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two hd' (mem_top ℝ V _) (mem_top ℝ V _)
(mem_top ℝ V _) (mem_top ℝ V _) (mem_top ℝ V _) hc hp hp₁c₁ hp₂c₁ hpc₁ hp₁c₂ hp₂c₂ hpc₂
#align euclidean_geometry.eq_of_dist_eq_of_dist_eq_of_finrank_eq_two EuclideanGeometry.eq_of_dist_eq_of_dist_eq_of_finrank_eq_two
def orthogonalProjectionFn (s : AffineSubspace ℝ P) [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) : P :=
Classical.choose <|
inter_eq_singleton_of_nonempty_of_isCompl (nonempty_subtype.mp ‹_›)
(mk'_nonempty p s.directionᗮ)
(by
rw [direction_mk' p s.directionᗮ]
exact Submodule.isCompl_orthogonal_of_completeSpace)
#align euclidean_geometry.orthogonal_projection_fn EuclideanGeometry.orthogonalProjectionFn
theorem inter_eq_singleton_orthogonalProjectionFn {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
(s : Set P) ∩ mk' p s.directionᗮ = {orthogonalProjectionFn s p} :=
Classical.choose_spec <|
inter_eq_singleton_of_nonempty_of_isCompl (nonempty_subtype.mp ‹_›)
(mk'_nonempty p s.directionᗮ)
(by
rw [direction_mk' p s.directionᗮ]
exact Submodule.isCompl_orthogonal_of_completeSpace)
#align euclidean_geometry.inter_eq_singleton_orthogonal_projection_fn EuclideanGeometry.inter_eq_singleton_orthogonalProjectionFn
theorem orthogonalProjectionFn_mem {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) : orthogonalProjectionFn s p ∈ s := by
rw [← mem_coe, ← Set.singleton_subset_iff, ← inter_eq_singleton_orthogonalProjectionFn]
exact Set.inter_subset_left
#align euclidean_geometry.orthogonal_projection_fn_mem EuclideanGeometry.orthogonalProjectionFn_mem
theorem orthogonalProjectionFn_mem_orthogonal {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
orthogonalProjectionFn s p ∈ mk' p s.directionᗮ := by
rw [← mem_coe, ← Set.singleton_subset_iff, ← inter_eq_singleton_orthogonalProjectionFn]
exact Set.inter_subset_right
#align euclidean_geometry.orthogonal_projection_fn_mem_orthogonal EuclideanGeometry.orthogonalProjectionFn_mem_orthogonal
theorem orthogonalProjectionFn_vsub_mem_direction_orthogonal {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
orthogonalProjectionFn s p -ᵥ p ∈ s.directionᗮ :=
direction_mk' p s.directionᗮ ▸
vsub_mem_direction (orthogonalProjectionFn_mem_orthogonal p) (self_mem_mk' _ _)
#align euclidean_geometry.orthogonal_projection_fn_vsub_mem_direction_orthogonal EuclideanGeometry.orthogonalProjectionFn_vsub_mem_direction_orthogonal
attribute [local instance] AffineSubspace.toAddTorsor
nonrec def orthogonalProjection (s : AffineSubspace ℝ P) [Nonempty s]
[HasOrthogonalProjection s.direction] : P →ᵃ[ℝ] s where
toFun p := ⟨orthogonalProjectionFn s p, orthogonalProjectionFn_mem p⟩
linear := orthogonalProjection s.direction
map_vadd' p v := by
have hs : ((orthogonalProjection s.direction) v : V) +ᵥ orthogonalProjectionFn s p ∈ s :=
vadd_mem_of_mem_direction (orthogonalProjection s.direction v).2
(orthogonalProjectionFn_mem p)
have ho :
((orthogonalProjection s.direction) v : V) +ᵥ orthogonalProjectionFn s p ∈
mk' (v +ᵥ p) s.directionᗮ := by
rw [← vsub_right_mem_direction_iff_mem (self_mem_mk' _ _) _, direction_mk',
vsub_vadd_eq_vsub_sub, vadd_vsub_assoc, add_comm, add_sub_assoc]
refine Submodule.add_mem _ (orthogonalProjectionFn_vsub_mem_direction_orthogonal p) ?_
rw [Submodule.mem_orthogonal']
intro w hw
rw [← neg_sub, inner_neg_left, orthogonalProjection_inner_eq_zero _ w hw, neg_zero]
have hm :
((orthogonalProjection s.direction) v : V) +ᵥ orthogonalProjectionFn s p ∈
({orthogonalProjectionFn s (v +ᵥ p)} : Set P) := by
rw [← inter_eq_singleton_orthogonalProjectionFn (v +ᵥ p)]
exact Set.mem_inter hs ho
rw [Set.mem_singleton_iff] at hm
ext
exact hm.symm
#align euclidean_geometry.orthogonal_projection EuclideanGeometry.orthogonalProjection
@[simp]
theorem orthogonalProjectionFn_eq {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
orthogonalProjectionFn s p = orthogonalProjection s p :=
rfl
#align euclidean_geometry.orthogonal_projection_fn_eq EuclideanGeometry.orthogonalProjectionFn_eq
@[simp]
theorem orthogonalProjection_linear {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] :
(orthogonalProjection s).linear = _root_.orthogonalProjection s.direction :=
rfl
#align euclidean_geometry.orthogonal_projection_linear EuclideanGeometry.orthogonalProjection_linear
theorem inter_eq_singleton_orthogonalProjection {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
(s : Set P) ∩ mk' p s.directionᗮ = {↑(orthogonalProjection s p)} := by
rw [← orthogonalProjectionFn_eq]
exact inter_eq_singleton_orthogonalProjectionFn p
#align euclidean_geometry.inter_eq_singleton_orthogonal_projection EuclideanGeometry.inter_eq_singleton_orthogonalProjection
theorem orthogonalProjection_mem {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) : ↑(orthogonalProjection s p) ∈ s :=
(orthogonalProjection s p).2
#align euclidean_geometry.orthogonal_projection_mem EuclideanGeometry.orthogonalProjection_mem
theorem orthogonalProjection_mem_orthogonal (s : AffineSubspace ℝ P) [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
↑(orthogonalProjection s p) ∈ mk' p s.directionᗮ :=
orthogonalProjectionFn_mem_orthogonal p
#align euclidean_geometry.orthogonal_projection_mem_orthogonal EuclideanGeometry.orthogonalProjection_mem_orthogonal
theorem orthogonalProjection_vsub_mem_direction {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] {p1 : P} (p2 : P) (hp1 : p1 ∈ s) :
↑(orthogonalProjection s p2 -ᵥ ⟨p1, hp1⟩ : s.direction) ∈ s.direction :=
(orthogonalProjection s p2 -ᵥ ⟨p1, hp1⟩ : s.direction).2
#align euclidean_geometry.orthogonal_projection_vsub_mem_direction EuclideanGeometry.orthogonalProjection_vsub_mem_direction
theorem vsub_orthogonalProjection_mem_direction {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] {p1 : P} (p2 : P) (hp1 : p1 ∈ s) :
↑((⟨p1, hp1⟩ : s) -ᵥ orthogonalProjection s p2 : s.direction) ∈ s.direction :=
((⟨p1, hp1⟩ : s) -ᵥ orthogonalProjection s p2 : s.direction).2
#align euclidean_geometry.vsub_orthogonal_projection_mem_direction EuclideanGeometry.vsub_orthogonalProjection_mem_direction
theorem orthogonalProjection_eq_self_iff {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] {p : P} : ↑(orthogonalProjection s p) = p ↔ p ∈ s := by
constructor
· exact fun h => h ▸ orthogonalProjection_mem p
· intro h
have hp : p ∈ (s : Set P) ∩ mk' p s.directionᗮ := ⟨h, self_mem_mk' p _⟩
rw [inter_eq_singleton_orthogonalProjection p] at hp
symm
exact hp
#align euclidean_geometry.orthogonal_projection_eq_self_iff EuclideanGeometry.orthogonalProjection_eq_self_iff
@[simp]
theorem orthogonalProjection_mem_subspace_eq_self {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] (p : s) : orthogonalProjection s p = p := by
ext
rw [orthogonalProjection_eq_self_iff]
exact p.2
#align euclidean_geometry.orthogonal_projection_mem_subspace_eq_self EuclideanGeometry.orthogonalProjection_mem_subspace_eq_self
-- @[simp] -- Porting note (#10618): simp can prove this
theorem orthogonalProjection_orthogonalProjection (s : AffineSubspace ℝ P) [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
orthogonalProjection s (orthogonalProjection s p) = orthogonalProjection s p := by
ext
rw [orthogonalProjection_eq_self_iff]
exact orthogonalProjection_mem p
#align euclidean_geometry.orthogonal_projection_orthogonal_projection EuclideanGeometry.orthogonalProjection_orthogonalProjection
theorem eq_orthogonalProjection_of_eq_subspace {s s' : AffineSubspace ℝ P} [Nonempty s]
[Nonempty s'] [HasOrthogonalProjection s.direction] [HasOrthogonalProjection s'.direction]
(h : s = s') (p : P) : (orthogonalProjection s p : P) = (orthogonalProjection s' p : P) := by
subst h
rfl
#align euclidean_geometry.eq_orthogonal_projection_of_eq_subspace EuclideanGeometry.eq_orthogonalProjection_of_eq_subspace
theorem dist_orthogonalProjection_eq_zero_iff {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] {p : P} :
dist p (orthogonalProjection s p) = 0 ↔ p ∈ s := by
rw [dist_comm, dist_eq_zero, orthogonalProjection_eq_self_iff]
#align euclidean_geometry.dist_orthogonal_projection_eq_zero_iff EuclideanGeometry.dist_orthogonalProjection_eq_zero_iff
theorem dist_orthogonalProjection_ne_zero_of_not_mem {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] {p : P} (hp : p ∉ s) :
dist p (orthogonalProjection s p) ≠ 0 :=
mt dist_orthogonalProjection_eq_zero_iff.mp hp
#align euclidean_geometry.dist_orthogonal_projection_ne_zero_of_not_mem EuclideanGeometry.dist_orthogonalProjection_ne_zero_of_not_mem
theorem orthogonalProjection_vsub_mem_direction_orthogonal (s : AffineSubspace ℝ P) [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
(orthogonalProjection s p : P) -ᵥ p ∈ s.directionᗮ :=
orthogonalProjectionFn_vsub_mem_direction_orthogonal p
#align euclidean_geometry.orthogonal_projection_vsub_mem_direction_orthogonal EuclideanGeometry.orthogonalProjection_vsub_mem_direction_orthogonal
theorem vsub_orthogonalProjection_mem_direction_orthogonal (s : AffineSubspace ℝ P) [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) : p -ᵥ orthogonalProjection s p ∈ s.directionᗮ :=
direction_mk' p s.directionᗮ ▸
vsub_mem_direction (self_mem_mk' _ _) (orthogonalProjection_mem_orthogonal s p)
#align euclidean_geometry.vsub_orthogonal_projection_mem_direction_orthogonal EuclideanGeometry.vsub_orthogonalProjection_mem_direction_orthogonal
theorem orthogonalProjection_vsub_orthogonalProjection (s : AffineSubspace ℝ P) [Nonempty s]
[HasOrthogonalProjection s.direction] (p : P) :
_root_.orthogonalProjection s.direction (p -ᵥ orthogonalProjection s p) = 0 := by
apply orthogonalProjection_mem_subspace_orthogonalComplement_eq_zero
intro c hc
rw [← neg_vsub_eq_vsub_rev, inner_neg_right,
orthogonalProjection_vsub_mem_direction_orthogonal s p c hc, neg_zero]
#align euclidean_geometry.orthogonal_projection_vsub_orthogonal_projection EuclideanGeometry.orthogonalProjection_vsub_orthogonalProjection
theorem orthogonalProjection_vadd_eq_self {s : AffineSubspace ℝ P} [Nonempty s]
[HasOrthogonalProjection s.direction] {p : P} (hp : p ∈ s) {v : V} (hv : v ∈ s.directionᗮ) :
orthogonalProjection s (v +ᵥ p) = ⟨p, hp⟩ := by
have h := vsub_orthogonalProjection_mem_direction_orthogonal s (v +ᵥ p)
rw [vadd_vsub_assoc, Submodule.add_mem_iff_right _ hv] at h
refine (eq_of_vsub_eq_zero ?_).symm
ext
refine Submodule.disjoint_def.1 s.direction.orthogonal_disjoint _ ?_ h
exact (_ : s.direction).2
#align euclidean_geometry.orthogonal_projection_vadd_eq_self EuclideanGeometry.orthogonalProjection_vadd_eq_self
theorem orthogonalProjection_vadd_smul_vsub_orthogonalProjection {s : AffineSubspace ℝ P}
[Nonempty s] [HasOrthogonalProjection s.direction] {p1 : P} (p2 : P) (r : ℝ) (hp : p1 ∈ s) :
orthogonalProjection s (r • (p2 -ᵥ orthogonalProjection s p2 : V) +ᵥ p1) = ⟨p1, hp⟩ :=
orthogonalProjection_vadd_eq_self hp
(Submodule.smul_mem _ _ (vsub_orthogonalProjection_mem_direction_orthogonal s _))
#align euclidean_geometry.orthogonal_projection_vadd_smul_vsub_orthogonal_projection EuclideanGeometry.orthogonalProjection_vadd_smul_vsub_orthogonalProjection
theorem dist_sq_eq_dist_orthogonalProjection_sq_add_dist_orthogonalProjection_sq
{s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] {p1 : P} (p2 : P)
(hp1 : p1 ∈ s) :
dist p1 p2 * dist p1 p2 =
dist p1 (orthogonalProjection s p2) * dist p1 (orthogonalProjection s p2) +
dist p2 (orthogonalProjection s p2) * dist p2 (orthogonalProjection s p2) := by
rw [dist_comm p2 _, dist_eq_norm_vsub V p1 _, dist_eq_norm_vsub V p1 _, dist_eq_norm_vsub V _ p2,
← vsub_add_vsub_cancel p1 (orthogonalProjection s p2) p2,
norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero]
exact Submodule.inner_right_of_mem_orthogonal (vsub_orthogonalProjection_mem_direction p2 hp1)
(orthogonalProjection_vsub_mem_direction_orthogonal s p2)
#align euclidean_geometry.dist_sq_eq_dist_orthogonal_projection_sq_add_dist_orthogonal_projection_sq EuclideanGeometry.dist_sq_eq_dist_orthogonalProjection_sq_add_dist_orthogonalProjection_sq
| Mathlib/Geometry/Euclidean/Basic.lean | 483 | 500 | theorem dist_sq_smul_orthogonal_vadd_smul_orthogonal_vadd {s : AffineSubspace ℝ P} {p1 p2 : P}
(hp1 : p1 ∈ s) (hp2 : p2 ∈ s) (r1 r2 : ℝ) {v : V} (hv : v ∈ s.directionᗮ) :
dist (r1 • v +ᵥ p1) (r2 • v +ᵥ p2) * dist (r1 • v +ᵥ p1) (r2 • v +ᵥ p2) =
dist p1 p2 * dist p1 p2 + (r1 - r2) * (r1 - r2) * (‖v‖ * ‖v‖) :=
calc
dist (r1 • v +ᵥ p1) (r2 • v +ᵥ p2) * dist (r1 • v +ᵥ p1) (r2 • v +ᵥ p2) =
‖p1 -ᵥ p2 + (r1 - r2) • v‖ * ‖p1 -ᵥ p2 + (r1 - r2) • v‖ := by |
rw [dist_eq_norm_vsub V (r1 • v +ᵥ p1), vsub_vadd_eq_vsub_sub, vadd_vsub_assoc, sub_smul,
add_comm, add_sub_assoc]
_ = ‖p1 -ᵥ p2‖ * ‖p1 -ᵥ p2‖ + ‖(r1 - r2) • v‖ * ‖(r1 - r2) • v‖ :=
(norm_add_sq_eq_norm_sq_add_norm_sq_real
(Submodule.inner_right_of_mem_orthogonal (vsub_mem_direction hp1 hp2)
(Submodule.smul_mem _ _ hv)))
_ = ‖(p1 -ᵥ p2 : V)‖ * ‖(p1 -ᵥ p2 : V)‖ + |r1 - r2| * |r1 - r2| * ‖v‖ * ‖v‖ := by
rw [norm_smul, Real.norm_eq_abs]
ring
_ = dist p1 p2 * dist p1 p2 + (r1 - r2) * (r1 - r2) * (‖v‖ * ‖v‖) := by
rw [dist_eq_norm_vsub V p1, abs_mul_abs_self, mul_assoc]
|
import Mathlib.Analysis.Convex.Side
import Mathlib.Geometry.Euclidean.Angle.Oriented.Rotation
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine
#align_import geometry.euclidean.angle.oriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open FiniteDimensional Complex
open scoped Affine EuclideanGeometry Real RealInnerProductSpace ComplexConjugate
namespace EuclideanGeometry
variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)]
abbrev o := @Module.Oriented.positiveOrientation
def oangle (p₁ p₂ p₃ : P) : Real.Angle :=
o.oangle (p₁ -ᵥ p₂) (p₃ -ᵥ p₂)
#align euclidean_geometry.oangle EuclideanGeometry.oangle
@[inherit_doc] scoped notation "∡" => EuclideanGeometry.oangle
theorem continuousAt_oangle {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 (o.continuousAt_oangle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk
(continuous_snd.snd.vsub continuous_snd.fst)).continuousAt
#align euclidean_geometry.continuous_at_oangle EuclideanGeometry.continuousAt_oangle
@[simp]
theorem oangle_self_left (p₁ p₂ : P) : ∡ p₁ p₁ p₂ = 0 := by simp [oangle]
#align euclidean_geometry.oangle_self_left EuclideanGeometry.oangle_self_left
@[simp]
theorem oangle_self_right (p₁ p₂ : P) : ∡ p₁ p₂ p₂ = 0 := by simp [oangle]
#align euclidean_geometry.oangle_self_right EuclideanGeometry.oangle_self_right
@[simp]
theorem oangle_self_left_right (p₁ p₂ : P) : ∡ p₁ p₂ p₁ = 0 :=
o.oangle_self _
#align euclidean_geometry.oangle_self_left_right EuclideanGeometry.oangle_self_left_right
theorem left_ne_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₁ ≠ p₂ := by
rw [← @vsub_ne_zero V]; exact o.left_ne_zero_of_oangle_ne_zero h
#align euclidean_geometry.left_ne_of_oangle_ne_zero EuclideanGeometry.left_ne_of_oangle_ne_zero
| Mathlib/Geometry/Euclidean/Angle/Oriented/Affine.lean | 80 | 81 | theorem right_ne_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₃ ≠ p₂ := by |
rw [← @vsub_ne_zero V]; exact o.right_ne_zero_of_oangle_ne_zero h
|
import Mathlib.Topology.Constructions
#align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494"
open Set Filter Function Topology Filter
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variable [TopologicalSpace α]
@[simp]
theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a :=
bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl
#align nhds_bind_nhds_within nhds_bind_nhdsWithin
@[simp]
theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x :=
Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x }
#align eventually_nhds_nhds_within eventually_nhds_nhdsWithin
theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x :=
eventually_inf_principal
#align eventually_nhds_within_iff eventually_nhdsWithin_iff
theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} :
(∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s :=
frequently_inf_principal.trans <| by simp only [and_comm]
#align frequently_nhds_within_iff frequently_nhdsWithin_iff
theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} :
z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by
simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff]
#align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within
@[simp]
theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by
refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩
simp only [eventually_nhdsWithin_iff] at h ⊢
exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs
#align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin
theorem nhdsWithin_eq (a : α) (s : Set α) :
𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) :=
((nhds_basis_opens a).inf_principal s).eq_biInf
#align nhds_within_eq nhdsWithin_eq
theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by
rw [nhdsWithin, principal_univ, inf_top_eq]
#align nhds_within_univ nhdsWithin_univ
theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s)
(t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t :=
h.inf_principal t
#align nhds_within_has_basis nhdsWithin_hasBasis
theorem nhdsWithin_basis_open (a : α) (t : Set α) :
(𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t :=
nhdsWithin_hasBasis (nhds_basis_opens a) t
#align nhds_within_basis_open nhdsWithin_basis_open
theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by
simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff
#align mem_nhds_within mem_nhdsWithin
theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t :=
(nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff
#align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter
theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) :
s \ t ∈ 𝓝[tᶜ] x :=
diff_mem_inf_principal_compl hs t
#align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl
theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) :
s \ t' ∈ 𝓝[t \ t'] x := by
rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc]
exact inter_mem_inf hs (mem_principal_self _)
#align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff
theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) :
t ∈ 𝓝 a := by
rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩
exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw
#align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds
theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t :=
eventually_inf_principal
#align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually
theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by
simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and]
#align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq
theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t :=
set_eventuallyEq_iff_inf_principal.symm
#align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq
theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x :=
set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal
#align nhds_within_le_iff nhdsWithin_le_iff
-- Porting note: golfed, dropped an unneeded assumption
theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝[t] a := by
lift a to t using h
replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs
rwa [← map_nhds_subtype_val, mem_map]
#align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ
theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a :=
mem_inf_of_left h
#align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds
theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a :=
mem_inf_of_right (mem_principal_self s)
#align self_mem_nhds_within self_mem_nhdsWithin
theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s :=
self_mem_nhdsWithin
#align eventually_mem_nhds_within eventually_mem_nhdsWithin
theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a :=
inter_mem self_mem_nhdsWithin (mem_inf_of_left h)
#align inter_mem_nhds_within inter_mem_nhdsWithin
theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a :=
inf_le_inf_left _ (principal_mono.mpr h)
#align nhds_within_mono nhdsWithin_mono
theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a :=
le_inf (pure_le_nhds a) (le_principal_iff.2 ha)
#align pure_le_nhds_within pure_le_nhdsWithin
theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t :=
pure_le_nhdsWithin ha ht
#align mem_of_mem_nhds_within mem_of_mem_nhdsWithin
theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α}
(h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x :=
mem_of_mem_nhdsWithin hx h
#align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin
theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) :
Tendsto (fun _ : β => a) l (𝓝[s] a) :=
tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha
#align tendsto_const_nhds_within tendsto_const_nhdsWithin
theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) :
𝓝[s] a = 𝓝[s ∩ t] a :=
le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h)))
(inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left))
#align nhds_within_restrict'' nhdsWithin_restrict''
theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict'' s <| mem_inf_of_left h
#align nhds_within_restrict' nhdsWithin_restrict'
theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) :
𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀)
#align nhds_within_restrict nhdsWithin_restrict
theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a :=
nhdsWithin_le_iff.mpr h
#align nhds_within_le_of_mem nhdsWithin_le_of_mem
theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by
rw [← nhdsWithin_univ]
apply nhdsWithin_le_of_mem
exact univ_mem
#align nhds_within_le_nhds nhdsWithin_le_nhds
theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) :
𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂]
#align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin'
theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s)
(h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by
rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂]
#align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin
@[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a :=
inf_eq_left.trans le_principal_iff
#align nhds_within_eq_nhds nhdsWithin_eq_nhds
theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a :=
nhdsWithin_eq_nhds.2 <| h.mem_nhds ha
#align is_open.nhds_within_eq IsOpen.nhdsWithin_eq
theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(ht : IsOpen t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝 a := by
rw [← ht.nhdsWithin_eq h]
exact preimage_nhdsWithin_coinduced' h hs
#align preimage_nhds_within_coinduced preimage_nhds_within_coinduced
@[simp]
theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq]
#align nhds_within_empty nhdsWithin_empty
theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by
delta nhdsWithin
rw [← inf_sup_left, sup_principal]
#align nhds_within_union nhdsWithin_union
theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) :
𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a :=
Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by
simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert]
#align nhds_within_bUnion nhdsWithin_biUnion
theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) :
𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by
rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS]
#align nhds_within_sUnion nhdsWithin_sUnion
theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) :
𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by
rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range]
#align nhds_within_Union nhdsWithin_iUnion
theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by
delta nhdsWithin
rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem]
#align nhds_within_inter nhdsWithin_inter
theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by
delta nhdsWithin
rw [← inf_principal, inf_assoc]
#align nhds_within_inter' nhdsWithin_inter'
theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by
rw [nhdsWithin_inter, inf_eq_right]
exact nhdsWithin_le_of_mem h
#align nhds_within_inter_of_mem nhdsWithin_inter_of_mem
theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by
rw [inter_comm, nhdsWithin_inter_of_mem h]
#align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem'
@[simp]
theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by
rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)]
#align nhds_within_singleton nhdsWithin_singleton
@[simp]
theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by
rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton]
#align nhds_within_insert nhdsWithin_insert
theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by
simp
#align mem_nhds_within_insert mem_nhdsWithin_insert
theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) :
insert a t ∈ 𝓝[insert a s] a := by simp [mem_of_superset h]
#align insert_mem_nhds_within_insert insert_mem_nhdsWithin_insert
theorem insert_mem_nhds_iff {a : α} {s : Set α} : insert a s ∈ 𝓝 a ↔ s ∈ 𝓝[≠] a := by
simp only [nhdsWithin, mem_inf_principal, mem_compl_iff, mem_singleton_iff, or_iff_not_imp_left,
insert_def]
#align insert_mem_nhds_iff insert_mem_nhds_iff
@[simp]
theorem nhdsWithin_compl_singleton_sup_pure (a : α) : 𝓝[≠] a ⊔ pure a = 𝓝 a := by
rw [← nhdsWithin_singleton, ← nhdsWithin_union, compl_union_self, nhdsWithin_univ]
#align nhds_within_compl_singleton_sup_pure nhdsWithin_compl_singleton_sup_pure
theorem nhdsWithin_prod {α : Type*} [TopologicalSpace α] {β : Type*} [TopologicalSpace β]
{s u : Set α} {t v : Set β} {a : α} {b : β} (hu : u ∈ 𝓝[s] a) (hv : v ∈ 𝓝[t] b) :
u ×ˢ v ∈ 𝓝[s ×ˢ t] (a, b) := by
rw [nhdsWithin_prod_eq]
exact prod_mem_prod hu hv
#align nhds_within_prod nhdsWithin_prod
theorem nhdsWithin_pi_eq' {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
(hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi I s] x = ⨅ i, comap (fun x => x i) (𝓝 (x i) ⊓ ⨅ (_ : i ∈ I), 𝓟 (s i)) := by
simp only [nhdsWithin, nhds_pi, Filter.pi, comap_inf, comap_iInf, pi_def, comap_principal, ←
iInf_principal_finite hI, ← iInf_inf_eq]
#align nhds_within_pi_eq' nhdsWithin_pi_eq'
theorem nhdsWithin_pi_eq {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
(hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi I s] x =
(⨅ i ∈ I, comap (fun x => x i) (𝓝[s i] x i)) ⊓
⨅ (i) (_ : i ∉ I), comap (fun x => x i) (𝓝 (x i)) := by
simp only [nhdsWithin, nhds_pi, Filter.pi, pi_def, ← iInf_principal_finite hI, comap_inf,
comap_principal, eval]
rw [iInf_split _ fun i => i ∈ I, inf_right_comm]
simp only [iInf_inf_eq]
#align nhds_within_pi_eq nhdsWithin_pi_eq
theorem nhdsWithin_pi_univ_eq {ι : Type*} {α : ι → Type*} [Finite ι] [∀ i, TopologicalSpace (α i)]
(s : ∀ i, Set (α i)) (x : ∀ i, α i) :
𝓝[pi univ s] x = ⨅ i, comap (fun x => x i) (𝓝[s i] x i) := by
simpa [nhdsWithin] using nhdsWithin_pi_eq finite_univ s x
#align nhds_within_pi_univ_eq nhdsWithin_pi_univ_eq
theorem nhdsWithin_pi_eq_bot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : 𝓝[pi I s] x = ⊥ ↔ ∃ i ∈ I, 𝓝[s i] x i = ⊥ := by
simp only [nhdsWithin, nhds_pi, pi_inf_principal_pi_eq_bot]
#align nhds_within_pi_eq_bot nhdsWithin_pi_eq_bot
theorem nhdsWithin_pi_neBot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : (𝓝[pi I s] x).NeBot ↔ ∀ i ∈ I, (𝓝[s i] x i).NeBot := by
simp [neBot_iff, nhdsWithin_pi_eq_bot]
#align nhds_within_pi_ne_bot nhdsWithin_pi_neBot
theorem Filter.Tendsto.piecewise_nhdsWithin {f g : α → β} {t : Set α} [∀ x, Decidable (x ∈ t)]
{a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ t] a) l)
(h₁ : Tendsto g (𝓝[s ∩ tᶜ] a) l) : Tendsto (piecewise t f g) (𝓝[s] a) l := by
apply Tendsto.piecewise <;> rwa [← nhdsWithin_inter']
#align filter.tendsto.piecewise_nhds_within Filter.Tendsto.piecewise_nhdsWithin
theorem Filter.Tendsto.if_nhdsWithin {f g : α → β} {p : α → Prop} [DecidablePred p] {a : α}
{s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ { x | p x }] a) l)
(h₁ : Tendsto g (𝓝[s ∩ { x | ¬p x }] a) l) :
Tendsto (fun x => if p x then f x else g x) (𝓝[s] a) l :=
h₀.piecewise_nhdsWithin h₁
#align filter.tendsto.if_nhds_within Filter.Tendsto.if_nhdsWithin
theorem map_nhdsWithin (f : α → β) (a : α) (s : Set α) :
map f (𝓝[s] a) = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (f '' (t ∩ s)) :=
((nhdsWithin_basis_open a s).map f).eq_biInf
#align map_nhds_within map_nhdsWithin
theorem tendsto_nhdsWithin_mono_left {f : α → β} {a : α} {s t : Set α} {l : Filter β} (hst : s ⊆ t)
(h : Tendsto f (𝓝[t] a) l) : Tendsto f (𝓝[s] a) l :=
h.mono_left <| nhdsWithin_mono a hst
#align tendsto_nhds_within_mono_left tendsto_nhdsWithin_mono_left
theorem tendsto_nhdsWithin_mono_right {f : β → α} {l : Filter β} {a : α} {s t : Set α} (hst : s ⊆ t)
(h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝[t] a) :=
h.mono_right (nhdsWithin_mono a hst)
#align tendsto_nhds_within_mono_right tendsto_nhdsWithin_mono_right
theorem tendsto_nhdsWithin_of_tendsto_nhds {f : α → β} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f (𝓝 a) l) : Tendsto f (𝓝[s] a) l :=
h.mono_left inf_le_left
#align tendsto_nhds_within_of_tendsto_nhds tendsto_nhdsWithin_of_tendsto_nhds
theorem eventually_mem_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f l (𝓝[s] a)) : ∀ᶠ i in l, f i ∈ s := by
simp_rw [nhdsWithin_eq, tendsto_iInf, mem_setOf_eq, tendsto_principal, mem_inter_iff,
eventually_and] at h
exact (h univ ⟨mem_univ a, isOpen_univ⟩).2
#align eventually_mem_of_tendsto_nhds_within eventually_mem_of_tendsto_nhdsWithin
theorem tendsto_nhds_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β}
(h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝 a) :=
h.mono_right nhdsWithin_le_nhds
#align tendsto_nhds_of_tendsto_nhds_within tendsto_nhds_of_tendsto_nhdsWithin
theorem nhdsWithin_neBot_of_mem {s : Set α} {x : α} (hx : x ∈ s) : NeBot (𝓝[s] x) :=
mem_closure_iff_nhdsWithin_neBot.1 <| subset_closure hx
#align nhds_within_ne_bot_of_mem nhdsWithin_neBot_of_mem
theorem IsClosed.mem_of_nhdsWithin_neBot {s : Set α} (hs : IsClosed s) {x : α}
(hx : NeBot <| 𝓝[s] x) : x ∈ s :=
hs.closure_eq ▸ mem_closure_iff_nhdsWithin_neBot.2 hx
#align is_closed.mem_of_nhds_within_ne_bot IsClosed.mem_of_nhdsWithin_neBot
theorem DenseRange.nhdsWithin_neBot {ι : Type*} {f : ι → α} (h : DenseRange f) (x : α) :
NeBot (𝓝[range f] x) :=
mem_closure_iff_clusterPt.1 (h x)
#align dense_range.nhds_within_ne_bot DenseRange.nhdsWithin_neBot
theorem mem_closure_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι}
{s : ∀ i, Set (α i)} {x : ∀ i, α i} : x ∈ closure (pi I s) ↔ ∀ i ∈ I, x i ∈ closure (s i) := by
simp only [mem_closure_iff_nhdsWithin_neBot, nhdsWithin_pi_neBot]
#align mem_closure_pi mem_closure_pi
theorem closure_pi_set {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] (I : Set ι)
(s : ∀ i, Set (α i)) : closure (pi I s) = pi I fun i => closure (s i) :=
Set.ext fun _ => mem_closure_pi
#align closure_pi_set closure_pi_set
theorem dense_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {s : ∀ i, Set (α i)}
(I : Set ι) (hs : ∀ i ∈ I, Dense (s i)) : Dense (pi I s) := by
simp only [dense_iff_closure_eq, closure_pi_set, pi_congr rfl fun i hi => (hs i hi).closure_eq,
pi_univ]
#align dense_pi dense_pi
theorem eventuallyEq_nhdsWithin_iff {f g : α → β} {s : Set α} {a : α} :
f =ᶠ[𝓝[s] a] g ↔ ∀ᶠ x in 𝓝 a, x ∈ s → f x = g x :=
mem_inf_principal
#align eventually_eq_nhds_within_iff eventuallyEq_nhdsWithin_iff
theorem eventuallyEq_nhdsWithin_of_eqOn {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) :
f =ᶠ[𝓝[s] a] g :=
mem_inf_of_right h
#align eventually_eq_nhds_within_of_eq_on eventuallyEq_nhdsWithin_of_eqOn
theorem Set.EqOn.eventuallyEq_nhdsWithin {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) :
f =ᶠ[𝓝[s] a] g :=
eventuallyEq_nhdsWithin_of_eqOn h
#align set.eq_on.eventually_eq_nhds_within Set.EqOn.eventuallyEq_nhdsWithin
theorem tendsto_nhdsWithin_congr {f g : α → β} {s : Set α} {a : α} {l : Filter β}
(hfg : ∀ x ∈ s, f x = g x) (hf : Tendsto f (𝓝[s] a) l) : Tendsto g (𝓝[s] a) l :=
(tendsto_congr' <| eventuallyEq_nhdsWithin_of_eqOn hfg).1 hf
#align tendsto_nhds_within_congr tendsto_nhdsWithin_congr
theorem eventually_nhdsWithin_of_forall {s : Set α} {a : α} {p : α → Prop} (h : ∀ x ∈ s, p x) :
∀ᶠ x in 𝓝[s] a, p x :=
mem_inf_of_right h
#align eventually_nhds_within_of_forall eventually_nhdsWithin_of_forall
theorem tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within {a : α} {l : Filter β} {s : Set α}
(f : β → α) (h1 : Tendsto f l (𝓝 a)) (h2 : ∀ᶠ x in l, f x ∈ s) : Tendsto f l (𝓝[s] a) :=
tendsto_inf.2 ⟨h1, tendsto_principal.2 h2⟩
#align tendsto_nhds_within_of_tendsto_nhds_of_eventually_within tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within
theorem tendsto_nhdsWithin_iff {a : α} {l : Filter β} {s : Set α} {f : β → α} :
Tendsto f l (𝓝[s] a) ↔ Tendsto f l (𝓝 a) ∧ ∀ᶠ n in l, f n ∈ s :=
⟨fun h => ⟨tendsto_nhds_of_tendsto_nhdsWithin h, eventually_mem_of_tendsto_nhdsWithin h⟩, fun h =>
tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.1 h.2⟩
#align tendsto_nhds_within_iff tendsto_nhdsWithin_iff
@[simp]
theorem tendsto_nhdsWithin_range {a : α} {l : Filter β} {f : β → α} :
Tendsto f l (𝓝[range f] a) ↔ Tendsto f l (𝓝 a) :=
⟨fun h => h.mono_right inf_le_left, fun h =>
tendsto_inf.2 ⟨h, tendsto_principal.2 <| eventually_of_forall mem_range_self⟩⟩
#align tendsto_nhds_within_range tendsto_nhdsWithin_range
theorem Filter.EventuallyEq.eq_of_nhdsWithin {s : Set α} {f g : α → β} {a : α} (h : f =ᶠ[𝓝[s] a] g)
(hmem : a ∈ s) : f a = g a :=
h.self_of_nhdsWithin hmem
#align filter.eventually_eq.eq_of_nhds_within Filter.EventuallyEq.eq_of_nhdsWithin
theorem eventually_nhdsWithin_of_eventually_nhds {α : Type*} [TopologicalSpace α] {s : Set α}
{a : α} {p : α → Prop} (h : ∀ᶠ x in 𝓝 a, p x) : ∀ᶠ x in 𝓝[s] a, p x :=
mem_nhdsWithin_of_mem_nhds h
#align eventually_nhds_within_of_eventually_nhds eventually_nhdsWithin_of_eventually_nhds
theorem mem_nhdsWithin_subtype {s : Set α} {a : { x // x ∈ s }} {t u : Set { x // x ∈ s }} :
t ∈ 𝓝[u] a ↔ t ∈ comap ((↑) : s → α) (𝓝[(↑) '' u] a) := by
rw [nhdsWithin, nhds_subtype, principal_subtype, ← comap_inf, ← nhdsWithin]
#align mem_nhds_within_subtype mem_nhdsWithin_subtype
theorem nhdsWithin_subtype (s : Set α) (a : { x // x ∈ s }) (t : Set { x // x ∈ s }) :
𝓝[t] a = comap ((↑) : s → α) (𝓝[(↑) '' t] a) :=
Filter.ext fun _ => mem_nhdsWithin_subtype
#align nhds_within_subtype nhdsWithin_subtype
theorem nhdsWithin_eq_map_subtype_coe {s : Set α} {a : α} (h : a ∈ s) :
𝓝[s] a = map ((↑) : s → α) (𝓝 ⟨a, h⟩) :=
(map_nhds_subtype_val ⟨a, h⟩).symm
#align nhds_within_eq_map_subtype_coe nhdsWithin_eq_map_subtype_coe
theorem mem_nhds_subtype_iff_nhdsWithin {s : Set α} {a : s} {t : Set s} :
t ∈ 𝓝 a ↔ (↑) '' t ∈ 𝓝[s] (a : α) := by
rw [← map_nhds_subtype_val, image_mem_map_iff Subtype.val_injective]
#align mem_nhds_subtype_iff_nhds_within mem_nhds_subtype_iff_nhdsWithin
theorem preimage_coe_mem_nhds_subtype {s t : Set α} {a : s} : (↑) ⁻¹' t ∈ 𝓝 a ↔ t ∈ 𝓝[s] ↑a := by
rw [← map_nhds_subtype_val, mem_map]
#align preimage_coe_mem_nhds_subtype preimage_coe_mem_nhds_subtype
theorem eventually_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) :
(∀ᶠ x : s in 𝓝 a, P x) ↔ ∀ᶠ x in 𝓝[s] a, P x :=
preimage_coe_mem_nhds_subtype
theorem frequently_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) :
(∃ᶠ x : s in 𝓝 a, P x) ↔ ∃ᶠ x in 𝓝[s] a, P x :=
eventually_nhds_subtype_iff s a (¬ P ·) |>.not
theorem tendsto_nhdsWithin_iff_subtype {s : Set α} {a : α} (h : a ∈ s) (f : α → β) (l : Filter β) :
Tendsto f (𝓝[s] a) l ↔ Tendsto (s.restrict f) (𝓝 ⟨a, h⟩) l := by
rw [nhdsWithin_eq_map_subtype_coe h, tendsto_map'_iff]; rfl
#align tendsto_nhds_within_iff_subtype tendsto_nhdsWithin_iff_subtype
variable [TopologicalSpace β] [TopologicalSpace γ] [TopologicalSpace δ]
theorem ContinuousWithinAt.tendsto {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) :
Tendsto f (𝓝[s] x) (𝓝 (f x)) :=
h
#align continuous_within_at.tendsto ContinuousWithinAt.tendsto
theorem ContinuousOn.continuousWithinAt {f : α → β} {s : Set α} {x : α} (hf : ContinuousOn f s)
(hx : x ∈ s) : ContinuousWithinAt f s x :=
hf x hx
#align continuous_on.continuous_within_at ContinuousOn.continuousWithinAt
theorem continuousWithinAt_univ (f : α → β) (x : α) :
ContinuousWithinAt f Set.univ x ↔ ContinuousAt f x := by
rw [ContinuousAt, ContinuousWithinAt, nhdsWithin_univ]
#align continuous_within_at_univ continuousWithinAt_univ
theorem continuous_iff_continuousOn_univ {f : α → β} : Continuous f ↔ ContinuousOn f univ := by
simp [continuous_iff_continuousAt, ContinuousOn, ContinuousAt, ContinuousWithinAt,
nhdsWithin_univ]
#align continuous_iff_continuous_on_univ continuous_iff_continuousOn_univ
theorem continuousWithinAt_iff_continuousAt_restrict (f : α → β) {x : α} {s : Set α} (h : x ∈ s) :
ContinuousWithinAt f s x ↔ ContinuousAt (s.restrict f) ⟨x, h⟩ :=
tendsto_nhdsWithin_iff_subtype h f _
#align continuous_within_at_iff_continuous_at_restrict continuousWithinAt_iff_continuousAt_restrict
theorem ContinuousWithinAt.tendsto_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β}
(h : ContinuousWithinAt f s x) (ht : MapsTo f s t) : Tendsto f (𝓝[s] x) (𝓝[t] f x) :=
tendsto_inf.2 ⟨h, tendsto_principal.2 <| mem_inf_of_right <| mem_principal.2 <| ht⟩
#align continuous_within_at.tendsto_nhds_within ContinuousWithinAt.tendsto_nhdsWithin
theorem ContinuousWithinAt.tendsto_nhdsWithin_image {f : α → β} {x : α} {s : Set α}
(h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝[f '' s] f x) :=
h.tendsto_nhdsWithin (mapsTo_image _ _)
#align continuous_within_at.tendsto_nhds_within_image ContinuousWithinAt.tendsto_nhdsWithin_image
theorem ContinuousWithinAt.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} {x : α} {y : β}
(hf : ContinuousWithinAt f s x) (hg : ContinuousWithinAt g t y) :
ContinuousWithinAt (Prod.map f g) (s ×ˢ t) (x, y) := by
unfold ContinuousWithinAt at *
rw [nhdsWithin_prod_eq, Prod.map, nhds_prod_eq]
exact hf.prod_map hg
#align continuous_within_at.prod_map ContinuousWithinAt.prod_map
theorem continuousWithinAt_prod_of_discrete_left [DiscreteTopology α]
{f : α × β → γ} {s : Set (α × β)} {x : α × β} :
ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨x.1, ·⟩) {b | (x.1, b) ∈ s} x.2 := by
rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, pure_prod,
← map_inf_principal_preimage]; rfl
theorem continuousWithinAt_prod_of_discrete_right [DiscreteTopology β]
{f : α × β → γ} {s : Set (α × β)} {x : α × β} :
ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨·, x.2⟩) {a | (a, x.2) ∈ s} x.1 := by
rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, prod_pure,
← map_inf_principal_preimage]; rfl
theorem continuousAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {x : α × β} :
ContinuousAt f x ↔ ContinuousAt (f ⟨x.1, ·⟩) x.2 := by
simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_left
theorem continuousAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {x : α × β} :
ContinuousAt f x ↔ ContinuousAt (f ⟨·, x.2⟩) x.1 := by
simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_right
theorem continuousOn_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} :
ContinuousOn f s ↔ ∀ a, ContinuousOn (f ⟨a, ·⟩) {b | (a, b) ∈ s} := by
simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_left]; rfl
theorem continuousOn_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} :
ContinuousOn f s ↔ ∀ b, ContinuousOn (f ⟨·, b⟩) {a | (a, b) ∈ s} := by
simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_right]; apply forall_swap
theorem continuous_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} :
Continuous f ↔ ∀ a, Continuous (f ⟨a, ·⟩) := by
simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_left
theorem continuous_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} :
Continuous f ↔ ∀ b, Continuous (f ⟨·, b⟩) := by
simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_right
theorem isOpenMap_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} :
IsOpenMap f ↔ ∀ a, IsOpenMap (f ⟨a, ·⟩) := by
simp_rw [isOpenMap_iff_nhds_le, Prod.forall, nhds_prod_eq, nhds_discrete, pure_prod, map_map]
rfl
theorem isOpenMap_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} :
IsOpenMap f ↔ ∀ b, IsOpenMap (f ⟨·, b⟩) := by
simp_rw [isOpenMap_iff_nhds_le, Prod.forall, forall_swap (α := α) (β := β), nhds_prod_eq,
nhds_discrete, prod_pure, map_map]; rfl
theorem continuousWithinAt_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} {x : α} :
ContinuousWithinAt f s x ↔ ∀ i, ContinuousWithinAt (fun y => f y i) s x :=
tendsto_pi_nhds
#align continuous_within_at_pi continuousWithinAt_pi
theorem continuousOn_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} : ContinuousOn f s ↔ ∀ i, ContinuousOn (fun y => f y i) s :=
⟨fun h i x hx => tendsto_pi_nhds.1 (h x hx) i, fun h x hx => tendsto_pi_nhds.2 fun i => h i x hx⟩
#align continuous_on_pi continuousOn_pi
@[fun_prop]
theorem continuousOn_pi' {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
{f : α → ∀ i, π i} {s : Set α} (hf : ∀ i, ContinuousOn (fun y => f y i) s) :
ContinuousOn f s :=
continuousOn_pi.2 hf
theorem ContinuousWithinAt.fin_insertNth {n} {π : Fin (n + 1) → Type*}
[∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {a : α} {s : Set α}
(hf : ContinuousWithinAt f s a) {g : α → ∀ j : Fin n, π (i.succAbove j)}
(hg : ContinuousWithinAt g s a) : ContinuousWithinAt (fun a => i.insertNth (f a) (g a)) s a :=
hf.tendsto.fin_insertNth i hg
#align continuous_within_at.fin_insert_nth ContinuousWithinAt.fin_insertNth
nonrec theorem ContinuousOn.fin_insertNth {n} {π : Fin (n + 1) → Type*}
[∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {s : Set α}
(hf : ContinuousOn f s) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousOn g s) :
ContinuousOn (fun a => i.insertNth (f a) (g a)) s := fun a ha =>
(hf a ha).fin_insertNth i (hg a ha)
#align continuous_on.fin_insert_nth ContinuousOn.fin_insertNth
theorem continuousOn_iff {f : α → β} {s : Set α} :
ContinuousOn f s ↔
∀ x ∈ s, ∀ t : Set β, IsOpen t → f x ∈ t → ∃ u, IsOpen u ∧ x ∈ u ∧ u ∩ s ⊆ f ⁻¹' t := by
simp only [ContinuousOn, ContinuousWithinAt, tendsto_nhds, mem_nhdsWithin]
#align continuous_on_iff continuousOn_iff
theorem continuousOn_iff_continuous_restrict {f : α → β} {s : Set α} :
ContinuousOn f s ↔ Continuous (s.restrict f) := by
rw [ContinuousOn, continuous_iff_continuousAt]; constructor
· rintro h ⟨x, xs⟩
exact (continuousWithinAt_iff_continuousAt_restrict f xs).mp (h x xs)
intro h x xs
exact (continuousWithinAt_iff_continuousAt_restrict f xs).mpr (h ⟨x, xs⟩)
#align continuous_on_iff_continuous_restrict continuousOn_iff_continuous_restrict
-- Porting note: 2 new lemmas
alias ⟨ContinuousOn.restrict, _⟩ := continuousOn_iff_continuous_restrict
theorem ContinuousOn.restrict_mapsTo {f : α → β} {s : Set α} {t : Set β} (hf : ContinuousOn f s)
(ht : MapsTo f s t) : Continuous (ht.restrict f s t) :=
hf.restrict.codRestrict _
theorem continuousOn_iff' {f : α → β} {s : Set α} :
ContinuousOn f s ↔ ∀ t : Set β, IsOpen t → ∃ u, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by
have : ∀ t, IsOpen (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by
intro t
rw [isOpen_induced_iff, Set.restrict_eq, Set.preimage_comp]
simp only [Subtype.preimage_coe_eq_preimage_coe_iff]
constructor <;>
· rintro ⟨u, ou, useq⟩
exact ⟨u, ou, by simpa only [Set.inter_comm, eq_comm] using useq⟩
rw [continuousOn_iff_continuous_restrict, continuous_def]; simp only [this]
#align continuous_on_iff' continuousOn_iff'
theorem ContinuousOn.mono_dom {α β : Type*} {t₁ t₂ : TopologicalSpace α} {t₃ : TopologicalSpace β}
(h₁ : t₂ ≤ t₁) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₃ f s) :
@ContinuousOn α β t₂ t₃ f s := fun x hx _u hu =>
map_mono (inf_le_inf_right _ <| nhds_mono h₁) (h₂ x hx hu)
#align continuous_on.mono_dom ContinuousOn.mono_dom
theorem ContinuousOn.mono_rng {α β : Type*} {t₁ : TopologicalSpace α} {t₂ t₃ : TopologicalSpace β}
(h₁ : t₂ ≤ t₃) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₂ f s) :
@ContinuousOn α β t₁ t₃ f s := fun x hx _u hu =>
h₂ x hx <| nhds_mono h₁ hu
#align continuous_on.mono_rng ContinuousOn.mono_rng
theorem continuousOn_iff_isClosed {f : α → β} {s : Set α} :
ContinuousOn f s ↔ ∀ t : Set β, IsClosed t → ∃ u, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by
have : ∀ t, IsClosed (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by
intro t
rw [isClosed_induced_iff, Set.restrict_eq, Set.preimage_comp]
simp only [Subtype.preimage_coe_eq_preimage_coe_iff, eq_comm, Set.inter_comm s]
rw [continuousOn_iff_continuous_restrict, continuous_iff_isClosed]; simp only [this]
#align continuous_on_iff_is_closed continuousOn_iff_isClosed
theorem ContinuousOn.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hg : ContinuousOn g t) : ContinuousOn (Prod.map f g) (s ×ˢ t) :=
fun ⟨x, y⟩ ⟨hx, hy⟩ => ContinuousWithinAt.prod_map (hf x hx) (hg y hy)
#align continuous_on.prod_map ContinuousOn.prod_map
theorem continuous_of_cover_nhds {ι : Sort*} {f : α → β} {s : ι → Set α}
(hs : ∀ x : α, ∃ i, s i ∈ 𝓝 x) (hf : ∀ i, ContinuousOn f (s i)) :
Continuous f :=
continuous_iff_continuousAt.mpr fun x ↦ let ⟨i, hi⟩ := hs x; by
rw [ContinuousAt, ← nhdsWithin_eq_nhds.2 hi]
exact hf _ _ (mem_of_mem_nhds hi)
#align continuous_of_cover_nhds continuous_of_cover_nhds
theorem continuousOn_empty (f : α → β) : ContinuousOn f ∅ := fun _ => False.elim
#align continuous_on_empty continuousOn_empty
@[simp]
theorem continuousOn_singleton (f : α → β) (a : α) : ContinuousOn f {a} :=
forall_eq.2 <| by
simpa only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_left] using fun s =>
mem_of_mem_nhds
#align continuous_on_singleton continuousOn_singleton
theorem Set.Subsingleton.continuousOn {s : Set α} (hs : s.Subsingleton) (f : α → β) :
ContinuousOn f s :=
hs.induction_on (continuousOn_empty f) (continuousOn_singleton f)
#align set.subsingleton.continuous_on Set.Subsingleton.continuousOn
theorem nhdsWithin_le_comap {x : α} {s : Set α} {f : α → β} (ctsf : ContinuousWithinAt f s x) :
𝓝[s] x ≤ comap f (𝓝[f '' s] f x) :=
ctsf.tendsto_nhdsWithin_image.le_comap
#align nhds_within_le_comap nhdsWithin_le_comap
@[simp]
theorem comap_nhdsWithin_range {α} (f : α → β) (y : β) : comap f (𝓝[range f] y) = comap f (𝓝 y) :=
comap_inf_principal_range
#align comap_nhds_within_range comap_nhdsWithin_range
theorem ContinuousWithinAt.mono {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x)
(hs : s ⊆ t) : ContinuousWithinAt f s x :=
h.mono_left (nhdsWithin_mono x hs)
#align continuous_within_at.mono ContinuousWithinAt.mono
theorem ContinuousWithinAt.mono_of_mem {f : α → β} {s t : Set α} {x : α}
(h : ContinuousWithinAt f t x) (hs : t ∈ 𝓝[s] x) : ContinuousWithinAt f s x :=
h.mono_left (nhdsWithin_le_of_mem hs)
#align continuous_within_at.mono_of_mem ContinuousWithinAt.mono_of_mem
theorem continuousWithinAt_congr_nhds {f : α → β} {s t : Set α} {x : α} (h : 𝓝[s] x = 𝓝[t] x) :
ContinuousWithinAt f s x ↔ ContinuousWithinAt f t x := by
simp only [ContinuousWithinAt, h]
theorem continuousWithinAt_inter' {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝[s] x) :
ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by
simp [ContinuousWithinAt, nhdsWithin_restrict'' s h]
#align continuous_within_at_inter' continuousWithinAt_inter'
theorem continuousWithinAt_inter {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝 x) :
ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by
simp [ContinuousWithinAt, nhdsWithin_restrict' s h]
#align continuous_within_at_inter continuousWithinAt_inter
theorem continuousWithinAt_union {f : α → β} {s t : Set α} {x : α} :
ContinuousWithinAt f (s ∪ t) x ↔ ContinuousWithinAt f s x ∧ ContinuousWithinAt f t x := by
simp only [ContinuousWithinAt, nhdsWithin_union, tendsto_sup]
#align continuous_within_at_union continuousWithinAt_union
theorem ContinuousWithinAt.union {f : α → β} {s t : Set α} {x : α} (hs : ContinuousWithinAt f s x)
(ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s ∪ t) x :=
continuousWithinAt_union.2 ⟨hs, ht⟩
#align continuous_within_at.union ContinuousWithinAt.union
theorem ContinuousWithinAt.mem_closure_image {f : α → β} {s : Set α} {x : α}
(h : ContinuousWithinAt f s x) (hx : x ∈ closure s) : f x ∈ closure (f '' s) :=
haveI := mem_closure_iff_nhdsWithin_neBot.1 hx
mem_closure_of_tendsto h <| mem_of_superset self_mem_nhdsWithin (subset_preimage_image f s)
#align continuous_within_at.mem_closure_image ContinuousWithinAt.mem_closure_image
theorem ContinuousWithinAt.mem_closure {f : α → β} {s : Set α} {x : α} {A : Set β}
(h : ContinuousWithinAt f s x) (hx : x ∈ closure s) (hA : MapsTo f s A) : f x ∈ closure A :=
closure_mono (image_subset_iff.2 hA) (h.mem_closure_image hx)
#align continuous_within_at.mem_closure ContinuousWithinAt.mem_closure
theorem Set.MapsTo.closure_of_continuousWithinAt {f : α → β} {s : Set α} {t : Set β}
(h : MapsTo f s t) (hc : ∀ x ∈ closure s, ContinuousWithinAt f s x) :
MapsTo f (closure s) (closure t) := fun x hx => (hc x hx).mem_closure hx h
#align set.maps_to.closure_of_continuous_within_at Set.MapsTo.closure_of_continuousWithinAt
theorem Set.MapsTo.closure_of_continuousOn {f : α → β} {s : Set α} {t : Set β} (h : MapsTo f s t)
(hc : ContinuousOn f (closure s)) : MapsTo f (closure s) (closure t) :=
h.closure_of_continuousWithinAt fun x hx => (hc x hx).mono subset_closure
#align set.maps_to.closure_of_continuous_on Set.MapsTo.closure_of_continuousOn
theorem ContinuousWithinAt.image_closure {f : α → β} {s : Set α}
(hf : ∀ x ∈ closure s, ContinuousWithinAt f s x) : f '' closure s ⊆ closure (f '' s) :=
((mapsTo_image f s).closure_of_continuousWithinAt hf).image_subset
#align continuous_within_at.image_closure ContinuousWithinAt.image_closure
theorem ContinuousOn.image_closure {f : α → β} {s : Set α} (hf : ContinuousOn f (closure s)) :
f '' closure s ⊆ closure (f '' s) :=
ContinuousWithinAt.image_closure fun x hx => (hf x hx).mono subset_closure
#align continuous_on.image_closure ContinuousOn.image_closure
@[simp]
theorem continuousWithinAt_singleton {f : α → β} {x : α} : ContinuousWithinAt f {x} x := by
simp only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_nhds]
#align continuous_within_at_singleton continuousWithinAt_singleton
@[simp]
theorem continuousWithinAt_insert_self {f : α → β} {x : α} {s : Set α} :
ContinuousWithinAt f (insert x s) x ↔ ContinuousWithinAt f s x := by
simp only [← singleton_union, continuousWithinAt_union, continuousWithinAt_singleton,
true_and_iff]
#align continuous_within_at_insert_self continuousWithinAt_insert_self
alias ⟨_, ContinuousWithinAt.insert_self⟩ := continuousWithinAt_insert_self
#align continuous_within_at.insert_self ContinuousWithinAt.insert_self
theorem ContinuousWithinAt.diff_iff {f : α → β} {s t : Set α} {x : α}
(ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s \ t) x ↔ ContinuousWithinAt f s x :=
⟨fun h => (h.union ht).mono <| by simp only [diff_union_self, subset_union_left], fun h =>
h.mono diff_subset⟩
#align continuous_within_at.diff_iff ContinuousWithinAt.diff_iff
@[simp]
theorem continuousWithinAt_diff_self {f : α → β} {s : Set α} {x : α} :
ContinuousWithinAt f (s \ {x}) x ↔ ContinuousWithinAt f s x :=
continuousWithinAt_singleton.diff_iff
#align continuous_within_at_diff_self continuousWithinAt_diff_self
@[simp]
theorem continuousWithinAt_compl_self {f : α → β} {a : α} :
ContinuousWithinAt f {a}ᶜ a ↔ ContinuousAt f a := by
rw [compl_eq_univ_diff, continuousWithinAt_diff_self, continuousWithinAt_univ]
#align continuous_within_at_compl_self continuousWithinAt_compl_self
@[simp]
theorem continuousWithinAt_update_same [DecidableEq α] {f : α → β} {s : Set α} {x : α} {y : β} :
ContinuousWithinAt (update f x y) s x ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) :=
calc
ContinuousWithinAt (update f x y) s x ↔ Tendsto (update f x y) (𝓝[s \ {x}] x) (𝓝 y) := by
{ rw [← continuousWithinAt_diff_self, ContinuousWithinAt, update_same] }
_ ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) :=
tendsto_congr' <| eventually_nhdsWithin_iff.2 <| eventually_of_forall
fun z hz => update_noteq hz.2 _ _
#align continuous_within_at_update_same continuousWithinAt_update_same
@[simp]
theorem continuousAt_update_same [DecidableEq α] {f : α → β} {x : α} {y : β} :
ContinuousAt (Function.update f x y) x ↔ Tendsto f (𝓝[≠] x) (𝓝 y) := by
rw [← continuousWithinAt_univ, continuousWithinAt_update_same, compl_eq_univ_diff]
#align continuous_at_update_same continuousAt_update_same
theorem IsOpenMap.continuousOn_image_of_leftInvOn {f : α → β} {s : Set α}
(h : IsOpenMap (s.restrict f)) {finv : β → α} (hleft : LeftInvOn finv f s) :
ContinuousOn finv (f '' s) := by
refine continuousOn_iff'.2 fun t ht => ⟨f '' (t ∩ s), ?_, ?_⟩
· rw [← image_restrict]
exact h _ (ht.preimage continuous_subtype_val)
· rw [inter_eq_self_of_subset_left (image_subset f inter_subset_right), hleft.image_inter']
#align is_open_map.continuous_on_image_of_left_inv_on IsOpenMap.continuousOn_image_of_leftInvOn
theorem IsOpenMap.continuousOn_range_of_leftInverse {f : α → β} (hf : IsOpenMap f) {finv : β → α}
(hleft : Function.LeftInverse finv f) : ContinuousOn finv (range f) := by
rw [← image_univ]
exact (hf.restrict isOpen_univ).continuousOn_image_of_leftInvOn fun x _ => hleft x
#align is_open_map.continuous_on_range_of_left_inverse IsOpenMap.continuousOn_range_of_leftInverse
theorem ContinuousOn.congr_mono {f g : α → β} {s s₁ : Set α} (h : ContinuousOn f s)
(h' : EqOn g f s₁) (h₁ : s₁ ⊆ s) : ContinuousOn g s₁ := by
intro x hx
unfold ContinuousWithinAt
have A := (h x (h₁ hx)).mono h₁
unfold ContinuousWithinAt at A
rw [← h' hx] at A
exact A.congr' h'.eventuallyEq_nhdsWithin.symm
#align continuous_on.congr_mono ContinuousOn.congr_mono
theorem ContinuousOn.congr {f g : α → β} {s : Set α} (h : ContinuousOn f s) (h' : EqOn g f s) :
ContinuousOn g s :=
h.congr_mono h' (Subset.refl _)
#align continuous_on.congr ContinuousOn.congr
theorem continuousOn_congr {f g : α → β} {s : Set α} (h' : EqOn g f s) :
ContinuousOn g s ↔ ContinuousOn f s :=
⟨fun h => ContinuousOn.congr h h'.symm, fun h => h.congr h'⟩
#align continuous_on_congr continuousOn_congr
theorem ContinuousAt.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : ContinuousAt f x) :
ContinuousWithinAt f s x :=
ContinuousWithinAt.mono ((continuousWithinAt_univ f x).2 h) (subset_univ _)
#align continuous_at.continuous_within_at ContinuousAt.continuousWithinAt
theorem continuousWithinAt_iff_continuousAt {f : α → β} {s : Set α} {x : α} (h : s ∈ 𝓝 x) :
ContinuousWithinAt f s x ↔ ContinuousAt f x := by
rw [← univ_inter s, continuousWithinAt_inter h, continuousWithinAt_univ]
#align continuous_within_at_iff_continuous_at continuousWithinAt_iff_continuousAt
theorem ContinuousWithinAt.continuousAt {f : α → β} {s : Set α} {x : α}
(h : ContinuousWithinAt f s x) (hs : s ∈ 𝓝 x) : ContinuousAt f x :=
(continuousWithinAt_iff_continuousAt hs).mp h
#align continuous_within_at.continuous_at ContinuousWithinAt.continuousAt
theorem IsOpen.continuousOn_iff {f : α → β} {s : Set α} (hs : IsOpen s) :
ContinuousOn f s ↔ ∀ ⦃a⦄, a ∈ s → ContinuousAt f a :=
forall₂_congr fun _ => continuousWithinAt_iff_continuousAt ∘ hs.mem_nhds
#align is_open.continuous_on_iff IsOpen.continuousOn_iff
theorem ContinuousOn.continuousAt {f : α → β} {s : Set α} {x : α} (h : ContinuousOn f s)
(hx : s ∈ 𝓝 x) : ContinuousAt f x :=
(h x (mem_of_mem_nhds hx)).continuousAt hx
#align continuous_on.continuous_at ContinuousOn.continuousAt
theorem ContinuousAt.continuousOn {f : α → β} {s : Set α} (hcont : ∀ x ∈ s, ContinuousAt f x) :
ContinuousOn f s := fun x hx => (hcont x hx).continuousWithinAt
#align continuous_at.continuous_on ContinuousAt.continuousOn
theorem ContinuousWithinAt.comp {g : β → γ} {f : α → β} {s : Set α} {t : Set β} {x : α}
(hg : ContinuousWithinAt g t (f x)) (hf : ContinuousWithinAt f s x) (h : MapsTo f s t) :
ContinuousWithinAt (g ∘ f) s x :=
hg.tendsto.comp (hf.tendsto_nhdsWithin h)
#align continuous_within_at.comp ContinuousWithinAt.comp
theorem ContinuousWithinAt.comp' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} {x : α}
(hg : ContinuousWithinAt g t (f x)) (hf : ContinuousWithinAt f s x) :
ContinuousWithinAt (g ∘ f) (s ∩ f ⁻¹' t) x :=
hg.comp (hf.mono inter_subset_left) inter_subset_right
#align continuous_within_at.comp' ContinuousWithinAt.comp'
theorem ContinuousAt.comp_continuousWithinAt {g : β → γ} {f : α → β} {s : Set α} {x : α}
(hg : ContinuousAt g (f x)) (hf : ContinuousWithinAt f s x) : ContinuousWithinAt (g ∘ f) s x :=
hg.continuousWithinAt.comp hf (mapsTo_univ _ _)
#align continuous_at.comp_continuous_within_at ContinuousAt.comp_continuousWithinAt
theorem ContinuousOn.comp {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t)
(hf : ContinuousOn f s) (h : MapsTo f s t) : ContinuousOn (g ∘ f) s := fun x hx =>
ContinuousWithinAt.comp (hg _ (h hx)) (hf x hx) h
#align continuous_on.comp ContinuousOn.comp
@[fun_prop]
theorem ContinuousOn.comp'' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t)
(hf : ContinuousOn f s) (h : Set.MapsTo f s t) : ContinuousOn (fun x => g (f x)) s :=
ContinuousOn.comp hg hf h
theorem ContinuousOn.mono {f : α → β} {s t : Set α} (hf : ContinuousOn f s) (h : t ⊆ s) :
ContinuousOn f t := fun x hx => (hf x (h hx)).mono_left (nhdsWithin_mono _ h)
#align continuous_on.mono ContinuousOn.mono
theorem antitone_continuousOn {f : α → β} : Antitone (ContinuousOn f) := fun _s _t hst hf =>
hf.mono hst
#align antitone_continuous_on antitone_continuousOn
@[fun_prop]
theorem ContinuousOn.comp' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t)
(hf : ContinuousOn f s) : ContinuousOn (g ∘ f) (s ∩ f ⁻¹' t) :=
hg.comp (hf.mono inter_subset_left) inter_subset_right
#align continuous_on.comp' ContinuousOn.comp'
@[fun_prop]
theorem Continuous.continuousOn {f : α → β} {s : Set α} (h : Continuous f) : ContinuousOn f s := by
rw [continuous_iff_continuousOn_univ] at h
exact h.mono (subset_univ _)
#align continuous.continuous_on Continuous.continuousOn
theorem Continuous.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : Continuous f) :
ContinuousWithinAt f s x :=
h.continuousAt.continuousWithinAt
#align continuous.continuous_within_at Continuous.continuousWithinAt
theorem Continuous.comp_continuousOn {g : β → γ} {f : α → β} {s : Set α} (hg : Continuous g)
(hf : ContinuousOn f s) : ContinuousOn (g ∘ f) s :=
hg.continuousOn.comp hf (mapsTo_univ _ _)
#align continuous.comp_continuous_on Continuous.comp_continuousOn
@[fun_prop]
theorem Continuous.comp_continuousOn'
{α β γ : Type*} [TopologicalSpace α] [TopologicalSpace β] [TopologicalSpace γ] {g : β → γ}
{f : α → β} {s : Set α} (hg : Continuous g) (hf : ContinuousOn f s) :
ContinuousOn (fun x ↦ g (f x)) s :=
hg.comp_continuousOn hf
theorem ContinuousOn.comp_continuous {g : β → γ} {f : α → β} {s : Set β} (hg : ContinuousOn g s)
(hf : Continuous f) (hs : ∀ x, f x ∈ s) : Continuous (g ∘ f) := by
rw [continuous_iff_continuousOn_univ] at *
exact hg.comp hf fun x _ => hs x
#align continuous_on.comp_continuous ContinuousOn.comp_continuous
@[fun_prop]
theorem continuousOn_apply {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)]
(i : ι) (s) : ContinuousOn (fun p : ∀ i, π i => p i) s :=
Continuous.continuousOn (continuous_apply i)
theorem ContinuousWithinAt.preimage_mem_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β}
(h : ContinuousWithinAt f s x) (ht : t ∈ 𝓝 (f x)) : f ⁻¹' t ∈ 𝓝[s] x :=
h ht
#align continuous_within_at.preimage_mem_nhds_within ContinuousWithinAt.preimage_mem_nhdsWithin
theorem Set.LeftInvOn.map_nhdsWithin_eq {f : α → β} {g : β → α} {x : β} {s : Set β}
(h : LeftInvOn f g s) (hx : f (g x) = x) (hf : ContinuousWithinAt f (g '' s) (g x))
(hg : ContinuousWithinAt g s x) : map g (𝓝[s] x) = 𝓝[g '' s] g x := by
apply le_antisymm
· exact hg.tendsto_nhdsWithin (mapsTo_image _ _)
· have A : g ∘ f =ᶠ[𝓝[g '' s] g x] id :=
h.rightInvOn_image.eqOn.eventuallyEq_of_mem self_mem_nhdsWithin
refine le_map_of_right_inverse A ?_
simpa only [hx] using hf.tendsto_nhdsWithin (h.mapsTo (surjOn_image _ _))
#align set.left_inv_on.map_nhds_within_eq Set.LeftInvOn.map_nhdsWithin_eq
theorem Function.LeftInverse.map_nhds_eq {f : α → β} {g : β → α} {x : β}
(h : Function.LeftInverse f g) (hf : ContinuousWithinAt f (range g) (g x))
(hg : ContinuousAt g x) : map g (𝓝 x) = 𝓝[range g] g x := by
simpa only [nhdsWithin_univ, image_univ] using
(h.leftInvOn univ).map_nhdsWithin_eq (h x) (by rwa [image_univ]) hg.continuousWithinAt
#align function.left_inverse.map_nhds_eq Function.LeftInverse.map_nhds_eq
theorem ContinuousWithinAt.preimage_mem_nhdsWithin' {f : α → β} {x : α} {s : Set α} {t : Set β}
(h : ContinuousWithinAt f s x) (ht : t ∈ 𝓝[f '' s] f x) : f ⁻¹' t ∈ 𝓝[s] x :=
h.tendsto_nhdsWithin (mapsTo_image _ _) ht
#align continuous_within_at.preimage_mem_nhds_within' ContinuousWithinAt.preimage_mem_nhdsWithin'
theorem ContinuousWithinAt.preimage_mem_nhdsWithin''
{f : α → β} {x : α} {y : β} {s t : Set β}
(h : ContinuousWithinAt f (f ⁻¹' s) x) (ht : t ∈ 𝓝[s] y) (hxy : y = f x) :
f ⁻¹' t ∈ 𝓝[f ⁻¹' s] x := by
rw [hxy] at ht
exact h.preimage_mem_nhdsWithin' (nhdsWithin_mono _ (image_preimage_subset f s) ht)
theorem Filter.EventuallyEq.congr_continuousWithinAt {f g : α → β} {s : Set α} {x : α}
(h : f =ᶠ[𝓝[s] x] g) (hx : f x = g x) :
ContinuousWithinAt f s x ↔ ContinuousWithinAt g s x := by
rw [ContinuousWithinAt, hx, tendsto_congr' h, ContinuousWithinAt]
#align filter.eventually_eq.congr_continuous_within_at Filter.EventuallyEq.congr_continuousWithinAt
theorem ContinuousWithinAt.congr_of_eventuallyEq {f f₁ : α → β} {s : Set α} {x : α}
(h : ContinuousWithinAt f s x) (h₁ : f₁ =ᶠ[𝓝[s] x] f) (hx : f₁ x = f x) :
ContinuousWithinAt f₁ s x :=
(h₁.congr_continuousWithinAt hx).2 h
#align continuous_within_at.congr_of_eventually_eq ContinuousWithinAt.congr_of_eventuallyEq
theorem ContinuousWithinAt.congr {f f₁ : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x)
(h₁ : ∀ y ∈ s, f₁ y = f y) (hx : f₁ x = f x) : ContinuousWithinAt f₁ s x :=
h.congr_of_eventuallyEq (mem_of_superset self_mem_nhdsWithin h₁) hx
#align continuous_within_at.congr ContinuousWithinAt.congr
theorem ContinuousWithinAt.congr_mono {f g : α → β} {s s₁ : Set α} {x : α}
(h : ContinuousWithinAt f s x) (h' : EqOn g f s₁) (h₁ : s₁ ⊆ s) (hx : g x = f x) :
ContinuousWithinAt g s₁ x :=
(h.mono h₁).congr h' hx
#align continuous_within_at.congr_mono ContinuousWithinAt.congr_mono
@[fun_prop]
theorem continuousOn_const {s : Set α} {c : β} : ContinuousOn (fun _ => c) s :=
continuous_const.continuousOn
#align continuous_on_const continuousOn_const
theorem continuousWithinAt_const {b : β} {s : Set α} {x : α} :
ContinuousWithinAt (fun _ : α => b) s x :=
continuous_const.continuousWithinAt
#align continuous_within_at_const continuousWithinAt_const
theorem continuousOn_id {s : Set α} : ContinuousOn id s :=
continuous_id.continuousOn
#align continuous_on_id continuousOn_id
@[fun_prop]
theorem continuousOn_id' (s : Set α) : ContinuousOn (fun x : α => x) s := continuousOn_id
theorem continuousWithinAt_id {s : Set α} {x : α} : ContinuousWithinAt id s x :=
continuous_id.continuousWithinAt
#align continuous_within_at_id continuousWithinAt_id
theorem continuousOn_open_iff {f : α → β} {s : Set α} (hs : IsOpen s) :
ContinuousOn f s ↔ ∀ t, IsOpen t → IsOpen (s ∩ f ⁻¹' t) := by
rw [continuousOn_iff']
constructor
· intro h t ht
rcases h t ht with ⟨u, u_open, hu⟩
rw [inter_comm, hu]
apply IsOpen.inter u_open hs
· intro h t ht
refine ⟨s ∩ f ⁻¹' t, h t ht, ?_⟩
rw [@inter_comm _ s (f ⁻¹' t), inter_assoc, inter_self]
#align continuous_on_open_iff continuousOn_open_iff
theorem ContinuousOn.isOpen_inter_preimage {f : α → β} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hs : IsOpen s) (ht : IsOpen t) : IsOpen (s ∩ f ⁻¹' t) :=
(continuousOn_open_iff hs).1 hf t ht
#align continuous_on.preimage_open_of_open ContinuousOn.isOpen_inter_preimage
theorem ContinuousOn.isOpen_preimage {f : α → β} {s : Set α} {t : Set β} (h : ContinuousOn f s)
(hs : IsOpen s) (hp : f ⁻¹' t ⊆ s) (ht : IsOpen t) : IsOpen (f ⁻¹' t) := by
convert (continuousOn_open_iff hs).mp h t ht
rw [inter_comm, inter_eq_self_of_subset_left hp]
#align continuous_on.is_open_preimage ContinuousOn.isOpen_preimage
theorem ContinuousOn.preimage_isClosed_of_isClosed {f : α → β} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hs : IsClosed s) (ht : IsClosed t) : IsClosed (s ∩ f ⁻¹' t) := by
rcases continuousOn_iff_isClosed.1 hf t ht with ⟨u, hu⟩
rw [inter_comm, hu.2]
apply IsClosed.inter hu.1 hs
#align continuous_on.preimage_closed_of_closed ContinuousOn.preimage_isClosed_of_isClosed
theorem ContinuousOn.preimage_interior_subset_interior_preimage {f : α → β} {s : Set α} {t : Set β}
(hf : ContinuousOn f s) (hs : IsOpen s) : s ∩ f ⁻¹' interior t ⊆ s ∩ interior (f ⁻¹' t) :=
calc
s ∩ f ⁻¹' interior t ⊆ interior (s ∩ f ⁻¹' t) :=
interior_maximal (inter_subset_inter (Subset.refl _) (preimage_mono interior_subset))
(hf.isOpen_inter_preimage hs isOpen_interior)
_ = s ∩ interior (f ⁻¹' t) := by rw [interior_inter, hs.interior_eq]
#align continuous_on.preimage_interior_subset_interior_preimage ContinuousOn.preimage_interior_subset_interior_preimage
theorem continuousOn_of_locally_continuousOn {f : α → β} {s : Set α}
(h : ∀ x ∈ s, ∃ t, IsOpen t ∧ x ∈ t ∧ ContinuousOn f (s ∩ t)) : ContinuousOn f s := by
intro x xs
rcases h x xs with ⟨t, open_t, xt, ct⟩
have := ct x ⟨xs, xt⟩
rwa [ContinuousWithinAt, ← nhdsWithin_restrict _ xt open_t] at this
#align continuous_on_of_locally_continuous_on continuousOn_of_locally_continuousOn
-- Porting note (#10756): new lemma
theorem continuousOn_to_generateFrom_iff {s : Set α} {T : Set (Set β)} {f : α → β} :
@ContinuousOn α β _ (.generateFrom T) f s ↔ ∀ x ∈ s, ∀ t ∈ T, f x ∈ t → f ⁻¹' t ∈ 𝓝[s] x :=
forall₂_congr fun x _ => by
delta ContinuousWithinAt
simp only [TopologicalSpace.nhds_generateFrom, tendsto_iInf, tendsto_principal, mem_setOf_eq,
and_imp]
exact forall_congr' fun t => forall_swap
-- Porting note: dropped an unneeded assumption
theorem continuousOn_isOpen_of_generateFrom {β : Type*} {s : Set α} {T : Set (Set β)} {f : α → β}
(h : ∀ t ∈ T, IsOpen (s ∩ f ⁻¹' t)) :
@ContinuousOn α β _ (.generateFrom T) f s :=
continuousOn_to_generateFrom_iff.2 fun _x hx t ht hxt => mem_nhdsWithin.2
⟨_, h t ht, ⟨hx, hxt⟩, fun _y hy => hy.1.2⟩
#align continuous_on_open_of_generate_from continuousOn_isOpen_of_generateFromₓ
theorem ContinuousWithinAt.prod {f : α → β} {g : α → γ} {s : Set α} {x : α}
(hf : ContinuousWithinAt f s x) (hg : ContinuousWithinAt g s x) :
ContinuousWithinAt (fun x => (f x, g x)) s x :=
hf.prod_mk_nhds hg
#align continuous_within_at.prod ContinuousWithinAt.prod
@[fun_prop]
theorem ContinuousOn.prod {f : α → β} {g : α → γ} {s : Set α} (hf : ContinuousOn f s)
(hg : ContinuousOn g s) : ContinuousOn (fun x => (f x, g x)) s := fun x hx =>
ContinuousWithinAt.prod (hf x hx) (hg x hx)
#align continuous_on.prod ContinuousOn.prod
theorem ContinuousAt.comp₂_continuousWithinAt {f : β × γ → δ} {g : α → β} {h : α → γ} {x : α}
{s : Set α} (hf : ContinuousAt f (g x, h x)) (hg : ContinuousWithinAt g s x)
(hh : ContinuousWithinAt h s x) :
ContinuousWithinAt (fun x ↦ f (g x, h x)) s x :=
ContinuousAt.comp_continuousWithinAt hf (hg.prod hh)
theorem ContinuousAt.comp₂_continuousWithinAt_of_eq {f : β × γ → δ} {g : α → β}
{h : α → γ} {x : α} {s : Set α} {y : β × γ} (hf : ContinuousAt f y)
(hg : ContinuousWithinAt g s x) (hh : ContinuousWithinAt h s x) (e : (g x, h x) = y) :
ContinuousWithinAt (fun x ↦ f (g x, h x)) s x := by
rw [← e] at hf
exact hf.comp₂_continuousWithinAt hg hh
theorem Inducing.continuousWithinAt_iff {f : α → β} {g : β → γ} (hg : Inducing g) {s : Set α}
{x : α} : ContinuousWithinAt f s x ↔ ContinuousWithinAt (g ∘ f) s x := by
simp_rw [ContinuousWithinAt, Inducing.tendsto_nhds_iff hg]; rfl
#align inducing.continuous_within_at_iff Inducing.continuousWithinAt_iff
theorem Inducing.continuousOn_iff {f : α → β} {g : β → γ} (hg : Inducing g) {s : Set α} :
ContinuousOn f s ↔ ContinuousOn (g ∘ f) s := by
simp_rw [ContinuousOn, hg.continuousWithinAt_iff]
#align inducing.continuous_on_iff Inducing.continuousOn_iff
theorem Embedding.continuousOn_iff {f : α → β} {g : β → γ} (hg : Embedding g) {s : Set α} :
ContinuousOn f s ↔ ContinuousOn (g ∘ f) s :=
Inducing.continuousOn_iff hg.1
#align embedding.continuous_on_iff Embedding.continuousOn_iff
theorem Embedding.map_nhdsWithin_eq {f : α → β} (hf : Embedding f) (s : Set α) (x : α) :
map f (𝓝[s] x) = 𝓝[f '' s] f x := by
rw [nhdsWithin, Filter.map_inf hf.inj, hf.map_nhds_eq, map_principal, ← nhdsWithin_inter',
inter_eq_self_of_subset_right (image_subset_range _ _)]
#align embedding.map_nhds_within_eq Embedding.map_nhdsWithin_eq
theorem OpenEmbedding.map_nhdsWithin_preimage_eq {f : α → β} (hf : OpenEmbedding f) (s : Set β)
(x : α) : map f (𝓝[f ⁻¹' s] x) = 𝓝[s] f x := by
rw [hf.toEmbedding.map_nhdsWithin_eq, image_preimage_eq_inter_range]
apply nhdsWithin_eq_nhdsWithin (mem_range_self _) hf.isOpen_range
rw [inter_assoc, inter_self]
#align open_embedding.map_nhds_within_preimage_eq OpenEmbedding.map_nhdsWithin_preimage_eq
theorem continuousWithinAt_of_not_mem_closure {f : α → β} {s : Set α} {x : α} (hx : x ∉ closure s) :
ContinuousWithinAt f s x := by
rw [mem_closure_iff_nhdsWithin_neBot, not_neBot] at hx
rw [ContinuousWithinAt, hx]
exact tendsto_bot
#align continuous_within_at_of_not_mem_closure continuousWithinAt_of_not_mem_closure
theorem ContinuousOn.if' {s : Set α} {p : α → Prop} {f g : α → β} [∀ a, Decidable (p a)]
(hpf : ∀ a ∈ s ∩ frontier { a | p a },
Tendsto f (𝓝[s ∩ { a | p a }] a) (𝓝 <| if p a then f a else g a))
(hpg :
∀ a ∈ s ∩ frontier { a | p a },
Tendsto g (𝓝[s ∩ { a | ¬p a }] a) (𝓝 <| if p a then f a else g a))
(hf : ContinuousOn f <| s ∩ { a | p a }) (hg : ContinuousOn g <| s ∩ { a | ¬p a }) :
ContinuousOn (fun a => if p a then f a else g a) s := by
intro x hx
by_cases hx' : x ∈ frontier { a | p a }
· exact (hpf x ⟨hx, hx'⟩).piecewise_nhdsWithin (hpg x ⟨hx, hx'⟩)
· rw [← inter_univ s, ← union_compl_self { a | p a }, inter_union_distrib_left] at hx ⊢
cases' hx with hx hx
· apply ContinuousWithinAt.union
· exact (hf x hx).congr (fun y hy => if_pos hy.2) (if_pos hx.2)
· have : x ∉ closure { a | p a }ᶜ := fun h => hx' ⟨subset_closure hx.2, by
rwa [closure_compl] at h⟩
exact continuousWithinAt_of_not_mem_closure fun h =>
this (closure_inter_subset_inter_closure _ _ h).2
· apply ContinuousWithinAt.union
· have : x ∉ closure { a | p a } := fun h =>
hx' ⟨h, fun h' : x ∈ interior { a | p a } => hx.2 (interior_subset h')⟩
exact continuousWithinAt_of_not_mem_closure fun h =>
this (closure_inter_subset_inter_closure _ _ h).2
· exact (hg x hx).congr (fun y hy => if_neg hy.2) (if_neg hx.2)
#align continuous_on.if' ContinuousOn.if'
theorem ContinuousOn.piecewise' {s t : Set α} {f g : α → β} [∀ a, Decidable (a ∈ t)]
(hpf : ∀ a ∈ s ∩ frontier t, Tendsto f (𝓝[s ∩ t] a) (𝓝 (piecewise t f g a)))
(hpg : ∀ a ∈ s ∩ frontier t, Tendsto g (𝓝[s ∩ tᶜ] a) (𝓝 (piecewise t f g a)))
(hf : ContinuousOn f <| s ∩ t) (hg : ContinuousOn g <| s ∩ tᶜ) :
ContinuousOn (piecewise t f g) s :=
hf.if' hpf hpg hg
#align continuous_on.piecewise' ContinuousOn.piecewise'
theorem ContinuousOn.if {α β : Type*} [TopologicalSpace α] [TopologicalSpace β] {p : α → Prop}
[∀ a, Decidable (p a)] {s : Set α} {f g : α → β}
(hp : ∀ a ∈ s ∩ frontier { a | p a }, f a = g a)
(hf : ContinuousOn f <| s ∩ closure { a | p a })
(hg : ContinuousOn g <| s ∩ closure { a | ¬p a }) :
ContinuousOn (fun a => if p a then f a else g a) s := by
apply ContinuousOn.if'
· rintro a ha
simp only [← hp a ha, ite_self]
apply tendsto_nhdsWithin_mono_left (inter_subset_inter_right s subset_closure)
exact hf a ⟨ha.1, ha.2.1⟩
· rintro a ha
simp only [hp a ha, ite_self]
apply tendsto_nhdsWithin_mono_left (inter_subset_inter_right s subset_closure)
rcases ha with ⟨has, ⟨_, ha⟩⟩
rw [← mem_compl_iff, ← closure_compl] at ha
apply hg a ⟨has, ha⟩
· exact hf.mono (inter_subset_inter_right s subset_closure)
· exact hg.mono (inter_subset_inter_right s subset_closure)
#align continuous_on.if ContinuousOn.if
theorem ContinuousOn.piecewise {s t : Set α} {f g : α → β} [∀ a, Decidable (a ∈ t)]
(ht : ∀ a ∈ s ∩ frontier t, f a = g a) (hf : ContinuousOn f <| s ∩ closure t)
(hg : ContinuousOn g <| s ∩ closure tᶜ) : ContinuousOn (piecewise t f g) s :=
hf.if ht hg
#align continuous_on.piecewise ContinuousOn.piecewise
theorem continuous_if' {p : α → Prop} {f g : α → β} [∀ a, Decidable (p a)]
(hpf : ∀ a ∈ frontier { x | p x }, Tendsto f (𝓝[{ x | p x }] a) (𝓝 <| ite (p a) (f a) (g a)))
(hpg : ∀ a ∈ frontier { x | p x }, Tendsto g (𝓝[{ x | ¬p x }] a) (𝓝 <| ite (p a) (f a) (g a)))
(hf : ContinuousOn f { x | p x }) (hg : ContinuousOn g { x | ¬p x }) :
Continuous fun a => ite (p a) (f a) (g a) := by
rw [continuous_iff_continuousOn_univ]
apply ContinuousOn.if' <;> simp [*] <;> assumption
#align continuous_if' continuous_if'
theorem continuous_if {p : α → Prop} {f g : α → β} [∀ a, Decidable (p a)]
(hp : ∀ a ∈ frontier { x | p x }, f a = g a) (hf : ContinuousOn f (closure { x | p x }))
(hg : ContinuousOn g (closure { x | ¬p x })) :
Continuous fun a => if p a then f a else g a := by
rw [continuous_iff_continuousOn_univ]
apply ContinuousOn.if <;> simp <;> assumption
#align continuous_if continuous_if
theorem Continuous.if {p : α → Prop} {f g : α → β} [∀ a, Decidable (p a)]
(hp : ∀ a ∈ frontier { x | p x }, f a = g a) (hf : Continuous f) (hg : Continuous g) :
Continuous fun a => if p a then f a else g a :=
continuous_if hp hf.continuousOn hg.continuousOn
#align continuous.if Continuous.if
theorem continuous_if_const (p : Prop) {f g : α → β} [Decidable p] (hf : p → Continuous f)
(hg : ¬p → Continuous g) : Continuous fun a => if p then f a else g a := by
split_ifs with h
exacts [hf h, hg h]
#align continuous_if_const continuous_if_const
theorem Continuous.if_const (p : Prop) {f g : α → β} [Decidable p] (hf : Continuous f)
(hg : Continuous g) : Continuous fun a => if p then f a else g a :=
continuous_if_const p (fun _ => hf) fun _ => hg
#align continuous.if_const Continuous.if_const
theorem continuous_piecewise {s : Set α} {f g : α → β} [∀ a, Decidable (a ∈ s)]
(hs : ∀ a ∈ frontier s, f a = g a) (hf : ContinuousOn f (closure s))
(hg : ContinuousOn g (closure sᶜ)) : Continuous (piecewise s f g) :=
continuous_if hs hf hg
#align continuous_piecewise continuous_piecewise
theorem Continuous.piecewise {s : Set α} {f g : α → β} [∀ a, Decidable (a ∈ s)]
(hs : ∀ a ∈ frontier s, f a = g a) (hf : Continuous f) (hg : Continuous g) :
Continuous (piecewise s f g) :=
hf.if hs hg
#align continuous.piecewise Continuous.piecewise
theorem IsOpen.ite' {s s' t : Set α} (hs : IsOpen s) (hs' : IsOpen s')
(ht : ∀ x ∈ frontier t, x ∈ s ↔ x ∈ s') : IsOpen (t.ite s s') := by
classical
simp only [isOpen_iff_continuous_mem, Set.ite] at *
convert continuous_piecewise (fun x hx => propext (ht x hx)) hs.continuousOn hs'.continuousOn
rename_i x
by_cases hx : x ∈ t <;> simp [hx]
#align is_open.ite' IsOpen.ite'
theorem IsOpen.ite {s s' t : Set α} (hs : IsOpen s) (hs' : IsOpen s')
(ht : s ∩ frontier t = s' ∩ frontier t) : IsOpen (t.ite s s') :=
hs.ite' hs' fun x hx => by simpa [hx] using ext_iff.1 ht x
#align is_open.ite IsOpen.ite
theorem ite_inter_closure_eq_of_inter_frontier_eq {s s' t : Set α}
(ht : s ∩ frontier t = s' ∩ frontier t) : t.ite s s' ∩ closure t = s ∩ closure t := by
rw [closure_eq_self_union_frontier, inter_union_distrib_left, inter_union_distrib_left,
ite_inter_self, ite_inter_of_inter_eq _ ht]
#align ite_inter_closure_eq_of_inter_frontier_eq ite_inter_closure_eq_of_inter_frontier_eq
| Mathlib/Topology/ContinuousOn.lean | 1,338 | 1,341 | theorem ite_inter_closure_compl_eq_of_inter_frontier_eq {s s' t : Set α}
(ht : s ∩ frontier t = s' ∩ frontier t) : t.ite s s' ∩ closure tᶜ = s' ∩ closure tᶜ := by |
rw [← ite_compl, ite_inter_closure_eq_of_inter_frontier_eq]
rwa [frontier_compl, eq_comm]
|
import Mathlib.Algebra.BigOperators.Associated
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.Data.Nat.Choose.Dvd
import Mathlib.Data.Nat.Prime
#align_import number_theory.primorial from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
open Finset
open Nat
open Nat
def primorial (n : ℕ) : ℕ :=
∏ p ∈ filter Nat.Prime (range (n + 1)), p
#align primorial primorial
local notation x "#" => primorial x
theorem primorial_pos (n : ℕ) : 0 < n# :=
prod_pos fun _p hp ↦ (mem_filter.1 hp).2.pos
#align primorial_pos primorial_pos
theorem primorial_succ {n : ℕ} (hn1 : n ≠ 1) (hn : Odd n) : (n + 1)# = n# := by
refine prod_congr ?_ fun _ _ ↦ rfl
rw [range_succ, filter_insert, if_neg fun h ↦ odd_iff_not_even.mp hn _]
exact fun h ↦ h.even_sub_one <| mt succ.inj hn1
#align primorial_succ primorial_succ
theorem primorial_add (m n : ℕ) :
(m + n)# = m# * ∏ p ∈ filter Nat.Prime (Ico (m + 1) (m + n + 1)), p := by
rw [primorial, primorial, ← Ico_zero_eq_range, ← prod_union, ← filter_union, Ico_union_Ico_eq_Ico]
exacts [Nat.zero_le _, add_le_add_right (Nat.le_add_right _ _) _,
disjoint_filter_filter <| Ico_disjoint_Ico_consecutive _ _ _]
#align primorial_add primorial_add
theorem primorial_add_dvd {m n : ℕ} (h : n ≤ m) : (m + n)# ∣ m# * choose (m + n) m :=
calc
(m + n)# = m# * ∏ p ∈ filter Nat.Prime (Ico (m + 1) (m + n + 1)), p := primorial_add _ _
_ ∣ m# * choose (m + n) m :=
mul_dvd_mul_left _ <|
prod_primes_dvd _ (fun k hk ↦ (mem_filter.1 hk).2.prime) fun p hp ↦ by
rw [mem_filter, mem_Ico] at hp
exact hp.2.dvd_choose_add hp.1.1 (h.trans_lt (m.lt_succ_self.trans_le hp.1.1))
(Nat.lt_succ_iff.1 hp.1.2)
#align primorial_add_dvd primorial_add_dvd
theorem primorial_add_le {m n : ℕ} (h : n ≤ m) : (m + n)# ≤ m# * choose (m + n) m :=
le_of_dvd (mul_pos (primorial_pos _) (choose_pos <| Nat.le_add_right _ _)) (primorial_add_dvd h)
#align primorial_add_le primorial_add_le
| Mathlib/NumberTheory/Primorial.lean | 73 | 91 | theorem primorial_le_4_pow (n : ℕ) : n# ≤ 4 ^ n := by |
induction' n using Nat.strong_induction_on with n ihn
cases' n with n; · rfl
rcases n.even_or_odd with (⟨m, rfl⟩ | ho)
· rcases m.eq_zero_or_pos with (rfl | hm)
· decide
calc
(m + m + 1)# = (m + 1 + m)# := by rw [add_right_comm]
_ ≤ (m + 1)# * choose (m + 1 + m) (m + 1) := primorial_add_le m.le_succ
_ = (m + 1)# * choose (2 * m + 1) m := by rw [choose_symm_add, two_mul, add_right_comm]
_ ≤ 4 ^ (m + 1) * 4 ^ m :=
mul_le_mul' (ihn _ <| succ_lt_succ <| (lt_add_iff_pos_left _).2 hm) (choose_middle_le_pow _)
_ ≤ 4 ^ (m + m + 1) := by rw [← pow_add, add_right_comm]
· rcases Decidable.eq_or_ne n 1 with (rfl | hn)
· decide
· calc
(n + 1)# = n# := primorial_succ hn ho
_ ≤ 4 ^ n := ihn n n.lt_succ_self
_ ≤ 4 ^ (n + 1) := pow_le_pow_of_le_right four_pos n.le_succ
|
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"
variable {α β γ : Type*}
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
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
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
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
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 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]
| Mathlib/Data/Rel.lean | 126 | 128 | theorem comp_right_bot (r : Rel α β) : r • (⊥ : Rel β γ) = ⊥ := by |
ext x y
simp [comp, Bot.bot]
|
import Mathlib.Topology.Basic
#align_import topology.nhds_set from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Set Filter Topology
variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {f : Filter X}
{s t s₁ s₂ t₁ t₂ : Set X} {x : X}
theorem nhdsSet_diagonal (X) [TopologicalSpace (X × X)] :
𝓝ˢ (diagonal X) = ⨆ (x : X), 𝓝 (x, x) := by
rw [nhdsSet, ← range_diag, ← range_comp]
rfl
#align nhds_set_diagonal nhdsSet_diagonal
theorem mem_nhdsSet_iff_forall : s ∈ 𝓝ˢ t ↔ ∀ x : X, x ∈ t → s ∈ 𝓝 x := by
simp_rw [nhdsSet, Filter.mem_sSup, forall_mem_image]
#align mem_nhds_set_iff_forall mem_nhdsSet_iff_forall
lemma nhdsSet_le : 𝓝ˢ s ≤ f ↔ ∀ x ∈ s, 𝓝 x ≤ f := by simp [nhdsSet]
theorem bUnion_mem_nhdsSet {t : X → Set X} (h : ∀ x ∈ s, t x ∈ 𝓝 x) : (⋃ x ∈ s, t x) ∈ 𝓝ˢ s :=
mem_nhdsSet_iff_forall.2 fun x hx => mem_of_superset (h x hx) <|
subset_iUnion₂ (s := fun x _ => t x) x hx -- Porting note: fails to find `s`
#align bUnion_mem_nhds_set bUnion_mem_nhdsSet
theorem subset_interior_iff_mem_nhdsSet : s ⊆ interior t ↔ t ∈ 𝓝ˢ s := by
simp_rw [mem_nhdsSet_iff_forall, subset_interior_iff_nhds]
#align subset_interior_iff_mem_nhds_set subset_interior_iff_mem_nhdsSet
theorem disjoint_principal_nhdsSet : Disjoint (𝓟 s) (𝓝ˢ t) ↔ Disjoint (closure s) t := by
rw [disjoint_principal_left, ← subset_interior_iff_mem_nhdsSet, interior_compl,
subset_compl_iff_disjoint_left]
theorem disjoint_nhdsSet_principal : Disjoint (𝓝ˢ s) (𝓟 t) ↔ Disjoint s (closure t) := by
rw [disjoint_comm, disjoint_principal_nhdsSet, disjoint_comm]
theorem mem_nhdsSet_iff_exists : s ∈ 𝓝ˢ t ↔ ∃ U : Set X, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := by
rw [← subset_interior_iff_mem_nhdsSet, subset_interior_iff]
#align mem_nhds_set_iff_exists mem_nhdsSet_iff_exists
theorem eventually_nhdsSet_iff_exists {p : X → Prop} :
(∀ᶠ x in 𝓝ˢ s, p x) ↔ ∃ t, IsOpen t ∧ s ⊆ t ∧ ∀ x, x ∈ t → p x :=
mem_nhdsSet_iff_exists
theorem eventually_nhdsSet_iff_forall {p : X → Prop} :
(∀ᶠ x in 𝓝ˢ s, p x) ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, p y :=
mem_nhdsSet_iff_forall
theorem hasBasis_nhdsSet (s : Set X) : (𝓝ˢ s).HasBasis (fun U => IsOpen U ∧ s ⊆ U) fun U => U :=
⟨fun t => by simp [mem_nhdsSet_iff_exists, and_assoc]⟩
#align has_basis_nhds_set hasBasis_nhdsSet
@[simp]
lemma lift'_nhdsSet_interior (s : Set X) : (𝓝ˢ s).lift' interior = 𝓝ˢ s :=
(hasBasis_nhdsSet s).lift'_interior_eq_self fun _ ↦ And.left
lemma Filter.HasBasis.nhdsSet_interior {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {t : Set X}
(h : (𝓝ˢ t).HasBasis p s) : (𝓝ˢ t).HasBasis p (interior <| s ·) :=
lift'_nhdsSet_interior t ▸ h.lift'_interior
theorem IsOpen.mem_nhdsSet (hU : IsOpen s) : s ∈ 𝓝ˢ t ↔ t ⊆ s := by
rw [← subset_interior_iff_mem_nhdsSet, hU.interior_eq]
#align is_open.mem_nhds_set IsOpen.mem_nhdsSet
theorem IsOpen.mem_nhdsSet_self (ho : IsOpen s) : s ∈ 𝓝ˢ s := ho.mem_nhdsSet.mpr Subset.rfl
theorem principal_le_nhdsSet : 𝓟 s ≤ 𝓝ˢ s := fun _s hs =>
(subset_interior_iff_mem_nhdsSet.mpr hs).trans interior_subset
#align principal_le_nhds_set principal_le_nhdsSet
theorem subset_of_mem_nhdsSet (h : t ∈ 𝓝ˢ s) : s ⊆ t := principal_le_nhdsSet h
theorem Filter.Eventually.self_of_nhdsSet {p : X → Prop} (h : ∀ᶠ x in 𝓝ˢ s, p x) : ∀ x ∈ s, p x :=
principal_le_nhdsSet h
nonrec theorem Filter.EventuallyEq.self_of_nhdsSet {f g : X → Y} (h : f =ᶠ[𝓝ˢ s] g) : EqOn f g s :=
h.self_of_nhdsSet
@[simp]
theorem nhdsSet_eq_principal_iff : 𝓝ˢ s = 𝓟 s ↔ IsOpen s := by
rw [← principal_le_nhdsSet.le_iff_eq, le_principal_iff, mem_nhdsSet_iff_forall,
isOpen_iff_mem_nhds]
#align nhds_set_eq_principal_iff nhdsSet_eq_principal_iff
alias ⟨_, IsOpen.nhdsSet_eq⟩ := nhdsSet_eq_principal_iff
#align is_open.nhds_set_eq IsOpen.nhdsSet_eq
@[simp]
theorem nhdsSet_interior : 𝓝ˢ (interior s) = 𝓟 (interior s) :=
isOpen_interior.nhdsSet_eq
#align nhds_set_interior nhdsSet_interior
@[simp]
theorem nhdsSet_singleton : 𝓝ˢ {x} = 𝓝 x := by simp [nhdsSet]
#align nhds_set_singleton nhdsSet_singleton
theorem mem_nhdsSet_interior : s ∈ 𝓝ˢ (interior s) :=
subset_interior_iff_mem_nhdsSet.mp Subset.rfl
#align mem_nhds_set_interior mem_nhdsSet_interior
@[simp]
| Mathlib/Topology/NhdsSet.lean | 132 | 132 | theorem nhdsSet_empty : 𝓝ˢ (∅ : Set X) = ⊥ := by | rw [isOpen_empty.nhdsSet_eq, principal_empty]
|
import Mathlib.LinearAlgebra.Matrix.Reindex
import Mathlib.LinearAlgebra.Matrix.ToLin
#align_import linear_algebra.matrix.basis from "leanprover-community/mathlib"@"6c263e4bfc2e6714de30f22178b4d0ca4d149a76"
noncomputable section
open LinearMap Matrix Set Submodule
open Matrix
section BasisToMatrix
variable {ι ι' κ κ' : Type*}
variable {R M : Type*} [CommSemiring R] [AddCommMonoid M] [Module R M]
variable {R₂ M₂ : Type*} [CommRing R₂] [AddCommGroup M₂] [Module R₂ M₂]
open Function Matrix
def Basis.toMatrix (e : Basis ι R M) (v : ι' → M) : Matrix ι ι' R := fun i j => e.repr (v j) i
#align basis.to_matrix Basis.toMatrix
variable (e : Basis ι R M) (v : ι' → M) (i : ι) (j : ι')
namespace Basis
theorem toMatrix_apply : e.toMatrix v i j = e.repr (v j) i :=
rfl
#align basis.to_matrix_apply Basis.toMatrix_apply
theorem toMatrix_transpose_apply : (e.toMatrix v)ᵀ j = e.repr (v j) :=
funext fun _ => rfl
#align basis.to_matrix_transpose_apply Basis.toMatrix_transpose_apply
| Mathlib/LinearAlgebra/Matrix/Basis.lean | 66 | 69 | theorem toMatrix_eq_toMatrix_constr [Fintype ι] [DecidableEq ι] (v : ι → M) :
e.toMatrix v = LinearMap.toMatrix e e (e.constr ℕ v) := by |
ext
rw [Basis.toMatrix_apply, LinearMap.toMatrix_apply, Basis.constr_basis]
|
import Mathlib.RingTheory.LocalProperties
import Mathlib.RingTheory.Localization.InvSubmonoid
#align_import ring_theory.ring_hom.finite_type from "leanprover-community/mathlib"@"64fc7238fb41b1a4f12ff05e3d5edfa360dd768c"
namespace RingHom
open scoped Pointwise
theorem finiteType_stableUnderComposition : StableUnderComposition @FiniteType := by
introv R hf hg
exact hg.comp hf
#align ring_hom.finite_type_stable_under_composition RingHom.finiteType_stableUnderComposition
| Mathlib/RingTheory/RingHom/FiniteType.lean | 29 | 35 | theorem finiteType_holdsForLocalizationAway : HoldsForLocalizationAway @FiniteType := by |
introv R _
suffices Algebra.FiniteType R S by
rw [RingHom.FiniteType]
convert this; ext;
rw [Algebra.smul_def]; rfl
exact IsLocalization.finiteType_of_monoid_fg (Submonoid.powers r) S
|
import Mathlib.MeasureTheory.Measure.Content
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.Topology.Algebra.Group.Compact
#align_import measure_theory.measure.haar.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open Set Inv Function TopologicalSpace MeasurableSpace
open scoped NNReal Classical ENNReal Pointwise Topology
namespace MeasureTheory
namespace Measure
section Group
variable {G : Type*} [Group G]
namespace haar
-- Porting note: Even in `noncomputable section`, a definition with `to_additive` require
-- `noncomputable` to generate an additive definition.
-- Please refer to leanprover/lean4#2077.
@[to_additive addIndex "additive version of `MeasureTheory.Measure.haar.index`"]
noncomputable def index (K V : Set G) : ℕ :=
sInf <| Finset.card '' { t : Finset G | K ⊆ ⋃ g ∈ t, (fun h => g * h) ⁻¹' V }
#align measure_theory.measure.haar.index MeasureTheory.Measure.haar.index
#align measure_theory.measure.haar.add_index MeasureTheory.Measure.haar.addIndex
@[to_additive addIndex_empty]
theorem index_empty {V : Set G} : index ∅ V = 0 := by
simp only [index, Nat.sInf_eq_zero]; left; use ∅
simp only [Finset.card_empty, empty_subset, mem_setOf_eq, eq_self_iff_true, and_self_iff]
#align measure_theory.measure.haar.index_empty MeasureTheory.Measure.haar.index_empty
#align measure_theory.measure.haar.add_index_empty MeasureTheory.Measure.haar.addIndex_empty
variable [TopologicalSpace G]
@[to_additive "additive version of `MeasureTheory.Measure.haar.prehaar`"]
noncomputable def prehaar (K₀ U : Set G) (K : Compacts G) : ℝ :=
(index (K : Set G) U : ℝ) / index K₀ U
#align measure_theory.measure.haar.prehaar MeasureTheory.Measure.haar.prehaar
#align measure_theory.measure.haar.add_prehaar MeasureTheory.Measure.haar.addPrehaar
@[to_additive]
theorem prehaar_empty (K₀ : PositiveCompacts G) {U : Set G} : prehaar (K₀ : Set G) U ⊥ = 0 := by
rw [prehaar, Compacts.coe_bot, index_empty, Nat.cast_zero, zero_div]
#align measure_theory.measure.haar.prehaar_empty MeasureTheory.Measure.haar.prehaar_empty
#align measure_theory.measure.haar.add_prehaar_empty MeasureTheory.Measure.haar.addPrehaar_empty
@[to_additive]
theorem prehaar_nonneg (K₀ : PositiveCompacts G) {U : Set G} (K : Compacts G) :
0 ≤ prehaar (K₀ : Set G) U K := by apply div_nonneg <;> norm_cast <;> apply zero_le
#align measure_theory.measure.haar.prehaar_nonneg MeasureTheory.Measure.haar.prehaar_nonneg
#align measure_theory.measure.haar.add_prehaar_nonneg MeasureTheory.Measure.haar.addPrehaar_nonneg
@[to_additive "additive version of `MeasureTheory.Measure.haar.haarProduct`"]
def haarProduct (K₀ : Set G) : Set (Compacts G → ℝ) :=
pi univ fun K => Icc 0 <| index (K : Set G) K₀
#align measure_theory.measure.haar.haar_product MeasureTheory.Measure.haar.haarProduct
#align measure_theory.measure.haar.add_haar_product MeasureTheory.Measure.haar.addHaarProduct
@[to_additive (attr := simp)]
theorem mem_prehaar_empty {K₀ : Set G} {f : Compacts G → ℝ} :
f ∈ haarProduct K₀ ↔ ∀ K : Compacts G, f K ∈ Icc (0 : ℝ) (index (K : Set G) K₀) := by
simp only [haarProduct, Set.pi, forall_prop_of_true, mem_univ, mem_setOf_eq]
#align measure_theory.measure.haar.mem_prehaar_empty MeasureTheory.Measure.haar.mem_prehaar_empty
#align measure_theory.measure.haar.mem_add_prehaar_empty MeasureTheory.Measure.haar.mem_addPrehaar_empty
@[to_additive "additive version of `MeasureTheory.Measure.haar.clPrehaar`"]
def clPrehaar (K₀ : Set G) (V : OpenNhdsOf (1 : G)) : Set (Compacts G → ℝ) :=
closure <| prehaar K₀ '' { U : Set G | U ⊆ V.1 ∧ IsOpen U ∧ (1 : G) ∈ U }
#align measure_theory.measure.haar.cl_prehaar MeasureTheory.Measure.haar.clPrehaar
#align measure_theory.measure.haar.cl_add_prehaar MeasureTheory.Measure.haar.clAddPrehaar
variable [TopologicalGroup G]
@[to_additive addIndex_defined
"If `K` is compact and `V` has nonempty interior, then the index `(K : V)` is well-defined, there is
a finite set `t` satisfying the desired properties."]
theorem index_defined {K V : Set G} (hK : IsCompact K) (hV : (interior V).Nonempty) :
∃ n : ℕ, n ∈ Finset.card '' { t : Finset G | K ⊆ ⋃ g ∈ t, (fun h => g * h) ⁻¹' V } := by
rcases compact_covered_by_mul_left_translates hK hV with ⟨t, ht⟩; exact ⟨t.card, t, ht, rfl⟩
#align measure_theory.measure.haar.index_defined MeasureTheory.Measure.haar.index_defined
#align measure_theory.measure.haar.add_index_defined MeasureTheory.Measure.haar.addIndex_defined
@[to_additive addIndex_elim]
theorem index_elim {K V : Set G} (hK : IsCompact K) (hV : (interior V).Nonempty) :
∃ t : Finset G, (K ⊆ ⋃ g ∈ t, (fun h => g * h) ⁻¹' V) ∧ Finset.card t = index K V := by
have := Nat.sInf_mem (index_defined hK hV); rwa [mem_image] at this
#align measure_theory.measure.haar.index_elim MeasureTheory.Measure.haar.index_elim
#align measure_theory.measure.haar.add_index_elim MeasureTheory.Measure.haar.addIndex_elim
@[to_additive le_addIndex_mul]
theorem le_index_mul (K₀ : PositiveCompacts G) (K : Compacts G) {V : Set G}
(hV : (interior V).Nonempty) :
index (K : Set G) V ≤ index (K : Set G) K₀ * index (K₀ : Set G) V := by
obtain ⟨s, h1s, h2s⟩ := index_elim K.isCompact K₀.interior_nonempty
obtain ⟨t, h1t, h2t⟩ := index_elim K₀.isCompact hV
rw [← h2s, ← h2t, mul_comm]
refine le_trans ?_ Finset.card_mul_le
apply Nat.sInf_le; refine ⟨_, ?_, rfl⟩; rw [mem_setOf_eq]; refine Subset.trans h1s ?_
apply iUnion₂_subset; intro g₁ hg₁; rw [preimage_subset_iff]; intro g₂ hg₂
have := h1t hg₂
rcases this with ⟨_, ⟨g₃, rfl⟩, A, ⟨hg₃, rfl⟩, h2V⟩; rw [mem_preimage, ← mul_assoc] at h2V
exact mem_biUnion (Finset.mul_mem_mul hg₃ hg₁) h2V
#align measure_theory.measure.haar.le_index_mul MeasureTheory.Measure.haar.le_index_mul
#align measure_theory.measure.haar.le_add_index_mul MeasureTheory.Measure.haar.le_addIndex_mul
@[to_additive addIndex_pos]
theorem index_pos (K : PositiveCompacts G) {V : Set G} (hV : (interior V).Nonempty) :
0 < index (K : Set G) V := by
unfold index; rw [Nat.sInf_def, Nat.find_pos, mem_image]
· rintro ⟨t, h1t, h2t⟩; rw [Finset.card_eq_zero] at h2t; subst h2t
obtain ⟨g, hg⟩ := K.interior_nonempty
show g ∈ (∅ : Set G)
convert h1t (interior_subset hg); symm
simp only [Finset.not_mem_empty, iUnion_of_empty, iUnion_empty]
· exact index_defined K.isCompact hV
#align measure_theory.measure.haar.index_pos MeasureTheory.Measure.haar.index_pos
#align measure_theory.measure.haar.add_index_pos MeasureTheory.Measure.haar.addIndex_pos
@[to_additive addIndex_mono]
theorem index_mono {K K' V : Set G} (hK' : IsCompact K') (h : K ⊆ K') (hV : (interior V).Nonempty) :
index K V ≤ index K' V := by
rcases index_elim hK' hV with ⟨s, h1s, h2s⟩
apply Nat.sInf_le; rw [mem_image]; exact ⟨s, Subset.trans h h1s, h2s⟩
#align measure_theory.measure.haar.index_mono MeasureTheory.Measure.haar.index_mono
#align measure_theory.measure.haar.add_index_mono MeasureTheory.Measure.haar.addIndex_mono
@[to_additive addIndex_union_le]
theorem index_union_le (K₁ K₂ : Compacts G) {V : Set G} (hV : (interior V).Nonempty) :
index (K₁.1 ∪ K₂.1) V ≤ index K₁.1 V + index K₂.1 V := by
rcases index_elim K₁.2 hV with ⟨s, h1s, h2s⟩
rcases index_elim K₂.2 hV with ⟨t, h1t, h2t⟩
rw [← h2s, ← h2t]
refine le_trans ?_ (Finset.card_union_le _ _)
apply Nat.sInf_le; refine ⟨_, ?_, rfl⟩; rw [mem_setOf_eq]
apply union_subset <;> refine Subset.trans (by assumption) ?_ <;>
apply biUnion_subset_biUnion_left <;> intro g hg <;> simp only [mem_def] at hg <;>
simp only [mem_def, Multiset.mem_union, Finset.union_val, hg, or_true_iff, true_or_iff]
#align measure_theory.measure.haar.index_union_le MeasureTheory.Measure.haar.index_union_le
#align measure_theory.measure.haar.add_index_union_le MeasureTheory.Measure.haar.addIndex_union_le
@[to_additive addIndex_union_eq]
theorem index_union_eq (K₁ K₂ : Compacts G) {V : Set G} (hV : (interior V).Nonempty)
(h : Disjoint (K₁.1 * V⁻¹) (K₂.1 * V⁻¹)) :
index (K₁.1 ∪ K₂.1) V = index K₁.1 V + index K₂.1 V := by
apply le_antisymm (index_union_le K₁ K₂ hV)
rcases index_elim (K₁.2.union K₂.2) hV with ⟨s, h1s, h2s⟩; rw [← h2s]
have :
∀ K : Set G,
(K ⊆ ⋃ g ∈ s, (fun h => g * h) ⁻¹' V) →
index K V ≤ (s.filter fun g => ((fun h : G => g * h) ⁻¹' V ∩ K).Nonempty).card := by
intro K hK; apply Nat.sInf_le; refine ⟨_, ?_, rfl⟩; rw [mem_setOf_eq]
intro g hg; rcases hK hg with ⟨_, ⟨g₀, rfl⟩, _, ⟨h1g₀, rfl⟩, h2g₀⟩
simp only [mem_preimage] at h2g₀
simp only [mem_iUnion]; use g₀; constructor; swap
· simp only [Finset.mem_filter, h1g₀, true_and_iff]; use g
simp only [hg, h2g₀, mem_inter_iff, mem_preimage, and_self_iff]
exact h2g₀
refine
le_trans
(add_le_add (this K₁.1 <| Subset.trans subset_union_left h1s)
(this K₂.1 <| Subset.trans subset_union_right h1s)) ?_
rw [← Finset.card_union_of_disjoint, Finset.filter_union_right]
· exact s.card_filter_le _
apply Finset.disjoint_filter.mpr
rintro g₁ _ ⟨g₂, h1g₂, h2g₂⟩ ⟨g₃, h1g₃, h2g₃⟩
simp only [mem_preimage] at h1g₃ h1g₂
refine h.le_bot (?_ : g₁⁻¹ ∈ _)
constructor <;> simp only [Set.mem_inv, Set.mem_mul, exists_exists_and_eq_and, exists_and_left]
· refine ⟨_, h2g₂, (g₁ * g₂)⁻¹, ?_, ?_⟩
· simp only [inv_inv, h1g₂]
· simp only [mul_inv_rev, mul_inv_cancel_left]
· refine ⟨_, h2g₃, (g₁ * g₃)⁻¹, ?_, ?_⟩
· simp only [inv_inv, h1g₃]
· simp only [mul_inv_rev, mul_inv_cancel_left]
#align measure_theory.measure.haar.index_union_eq MeasureTheory.Measure.haar.index_union_eq
#align measure_theory.measure.haar.add_index_union_eq MeasureTheory.Measure.haar.addIndex_union_eq
@[to_additive add_left_addIndex_le]
theorem mul_left_index_le {K : Set G} (hK : IsCompact K) {V : Set G} (hV : (interior V).Nonempty)
(g : G) : index ((fun h => g * h) '' K) V ≤ index K V := by
rcases index_elim hK hV with ⟨s, h1s, h2s⟩; rw [← h2s]
apply Nat.sInf_le; rw [mem_image]
refine ⟨s.map (Equiv.mulRight g⁻¹).toEmbedding, ?_, Finset.card_map _⟩
simp only [mem_setOf_eq]; refine Subset.trans (image_subset _ h1s) ?_
rintro _ ⟨g₁, ⟨_, ⟨g₂, rfl⟩, ⟨_, ⟨hg₂, rfl⟩, hg₁⟩⟩, rfl⟩
simp only [mem_preimage] at hg₁;
simp only [exists_prop, mem_iUnion, Finset.mem_map, Equiv.coe_mulRight,
exists_exists_and_eq_and, mem_preimage, Equiv.toEmbedding_apply]
refine ⟨_, hg₂, ?_⟩; simp only [mul_assoc, hg₁, inv_mul_cancel_left]
#align measure_theory.measure.haar.mul_left_index_le MeasureTheory.Measure.haar.mul_left_index_le
#align measure_theory.measure.haar.add_left_add_index_le MeasureTheory.Measure.haar.add_left_addIndex_le
@[to_additive is_left_invariant_addIndex]
theorem is_left_invariant_index {K : Set G} (hK : IsCompact K) (g : G) {V : Set G}
(hV : (interior V).Nonempty) : index ((fun h => g * h) '' K) V = index K V := by
refine le_antisymm (mul_left_index_le hK hV g) ?_
convert mul_left_index_le (hK.image <| continuous_mul_left g) hV g⁻¹
rw [image_image]; symm; convert image_id' _ with h; apply inv_mul_cancel_left
#align measure_theory.measure.haar.is_left_invariant_index MeasureTheory.Measure.haar.is_left_invariant_index
#align measure_theory.measure.haar.is_left_invariant_add_index MeasureTheory.Measure.haar.is_left_invariant_addIndex
@[to_additive add_prehaar_le_addIndex]
theorem prehaar_le_index (K₀ : PositiveCompacts G) {U : Set G} (K : Compacts G)
(hU : (interior U).Nonempty) : prehaar (K₀ : Set G) U K ≤ index (K : Set G) K₀ := by
unfold prehaar; rw [div_le_iff] <;> norm_cast
· apply le_index_mul K₀ K hU
· exact index_pos K₀ hU
#align measure_theory.measure.haar.prehaar_le_index MeasureTheory.Measure.haar.prehaar_le_index
#align measure_theory.measure.haar.add_prehaar_le_add_index MeasureTheory.Measure.haar.add_prehaar_le_addIndex
@[to_additive]
theorem prehaar_pos (K₀ : PositiveCompacts G) {U : Set G} (hU : (interior U).Nonempty) {K : Set G}
(h1K : IsCompact K) (h2K : (interior K).Nonempty) : 0 < prehaar (K₀ : Set G) U ⟨K, h1K⟩ := by
apply div_pos <;> norm_cast
· apply index_pos ⟨⟨K, h1K⟩, h2K⟩ hU
· exact index_pos K₀ hU
#align measure_theory.measure.haar.prehaar_pos MeasureTheory.Measure.haar.prehaar_pos
#align measure_theory.measure.haar.add_prehaar_pos MeasureTheory.Measure.haar.addPrehaar_pos
@[to_additive]
theorem prehaar_mono {K₀ : PositiveCompacts G} {U : Set G} (hU : (interior U).Nonempty)
{K₁ K₂ : Compacts G} (h : (K₁ : Set G) ⊆ K₂.1) :
prehaar (K₀ : Set G) U K₁ ≤ prehaar (K₀ : Set G) U K₂ := by
simp only [prehaar]; rw [div_le_div_right]
· exact mod_cast index_mono K₂.2 h hU
· exact mod_cast index_pos K₀ hU
#align measure_theory.measure.haar.prehaar_mono MeasureTheory.Measure.haar.prehaar_mono
#align measure_theory.measure.haar.add_prehaar_mono MeasureTheory.Measure.haar.addPrehaar_mono
@[to_additive]
theorem prehaar_self {K₀ : PositiveCompacts G} {U : Set G} (hU : (interior U).Nonempty) :
prehaar (K₀ : Set G) U K₀.toCompacts = 1 :=
div_self <| ne_of_gt <| mod_cast index_pos K₀ hU
#align measure_theory.measure.haar.prehaar_self MeasureTheory.Measure.haar.prehaar_self
#align measure_theory.measure.haar.add_prehaar_self MeasureTheory.Measure.haar.addPrehaar_self
@[to_additive]
theorem prehaar_sup_le {K₀ : PositiveCompacts G} {U : Set G} (K₁ K₂ : Compacts G)
(hU : (interior U).Nonempty) :
prehaar (K₀ : Set G) U (K₁ ⊔ K₂) ≤ prehaar (K₀ : Set G) U K₁ + prehaar (K₀ : Set G) U K₂ := by
simp only [prehaar]; rw [div_add_div_same, div_le_div_right]
· exact mod_cast index_union_le K₁ K₂ hU
· exact mod_cast index_pos K₀ hU
#align measure_theory.measure.haar.prehaar_sup_le MeasureTheory.Measure.haar.prehaar_sup_le
#align measure_theory.measure.haar.add_prehaar_sup_le MeasureTheory.Measure.haar.addPrehaar_sup_le
@[to_additive]
theorem prehaar_sup_eq {K₀ : PositiveCompacts G} {U : Set G} {K₁ K₂ : Compacts G}
(hU : (interior U).Nonempty) (h : Disjoint (K₁.1 * U⁻¹) (K₂.1 * U⁻¹)) :
prehaar (K₀ : Set G) U (K₁ ⊔ K₂) = prehaar (K₀ : Set G) U K₁ + prehaar (K₀ : Set G) U K₂ := by
simp only [prehaar]; rw [div_add_div_same]
-- Porting note: Here was `congr`, but `to_additive` failed to generate a theorem.
refine congr_arg (fun x : ℝ => x / index K₀ U) ?_
exact mod_cast index_union_eq K₁ K₂ hU h
#align measure_theory.measure.haar.prehaar_sup_eq MeasureTheory.Measure.haar.prehaar_sup_eq
#align measure_theory.measure.haar.add_prehaar_sup_eq MeasureTheory.Measure.haar.addPrehaar_sup_eq
@[to_additive]
| Mathlib/MeasureTheory/Measure/Haar/Basic.lean | 358 | 361 | theorem is_left_invariant_prehaar {K₀ : PositiveCompacts G} {U : Set G} (hU : (interior U).Nonempty)
(g : G) (K : Compacts G) :
prehaar (K₀ : Set G) U (K.map _ <| continuous_mul_left g) = prehaar (K₀ : Set G) U K := by |
simp only [prehaar, Compacts.coe_map, is_left_invariant_index K.isCompact _ hU]
|
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.ParametricIntegral
import Mathlib.MeasureTheory.Constructions.Prod.Integral
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Group.Prod
import Mathlib.MeasureTheory.Integral.IntervalIntegral
#align_import analysis.convolution from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95"
open Set Function Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open ContinuousLinearMap Metric Bornology
open scoped Pointwise Topology NNReal Filter
universe u𝕜 uG uE uE' uE'' uF uF' uF'' uP
variable {𝕜 : Type u𝕜} {G : Type uG} {E : Type uE} {E' : Type uE'} {E'' : Type uE''} {F : Type uF}
{F' : Type uF'} {F'' : Type uF''} {P : Type uP}
variable [NormedAddCommGroup E] [NormedAddCommGroup E'] [NormedAddCommGroup E'']
[NormedAddCommGroup F] {f f' : G → E} {g g' : G → E'} {x x' : G} {y y' : E}
namespace MeasureTheory
section NontriviallyNormedField
variable [NontriviallyNormedField 𝕜]
variable [NormedSpace 𝕜 E] [NormedSpace 𝕜 E'] [NormedSpace 𝕜 E''] [NormedSpace 𝕜 F]
variable (L : E →L[𝕜] E' →L[𝕜] F)
section NoMeasurability
variable [AddGroup G] [TopologicalSpace G]
theorem convolution_integrand_bound_right_of_le_of_subset {C : ℝ} (hC : ∀ i, ‖g i‖ ≤ C) {x t : G}
{s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * C) t := by
-- Porting note: had to add `f := _`
refine le_indicator (f := fun t ↦ ‖L (f t) (g (x - t))‖) (fun t _ => ?_) (fun t ht => ?_) t
· apply_rules [L.le_of_opNorm₂_le_of_le, le_rfl]
· have : x - t ∉ support g := by
refine mt (fun hxt => hu ?_) ht
refine ⟨_, Set.neg_mem_neg.mpr (subset_closure hxt), _, hx, ?_⟩
simp only [neg_sub, sub_add_cancel]
simp only [nmem_support.mp this, (L _).map_zero, norm_zero, le_rfl]
#align convolution_integrand_bound_right_of_le_of_subset MeasureTheory.convolution_integrand_bound_right_of_le_of_subset
| Mathlib/Analysis/Convolution.lean | 131 | 136 | theorem _root_.HasCompactSupport.convolution_integrand_bound_right_of_subset
(hcg : HasCompactSupport g) (hg : Continuous g)
{x t : G} {s u : Set G} (hx : x ∈ s) (hu : -tsupport g + s ⊆ u) :
‖L (f t) (g (x - t))‖ ≤ u.indicator (fun t => ‖L‖ * ‖f t‖ * ⨆ i, ‖g i‖) t := by |
refine convolution_integrand_bound_right_of_le_of_subset _ (fun i => ?_) hx hu
exact le_ciSup (hg.norm.bddAbove_range_of_hasCompactSupport hcg.norm) _
|
import Mathlib.Analysis.NormedSpace.PiTensorProduct.ProjectiveSeminorm
import Mathlib.LinearAlgebra.Isomorphisms
universe uι u𝕜 uE uF
variable {ι : Type uι} [Fintype ι]
variable {𝕜 : Type u𝕜} [NontriviallyNormedField 𝕜]
variable {E : ι → Type uE} [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)]
variable {F : Type uF} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F]
open scoped TensorProduct
namespace PiTensorProduct
section seminorm
variable (F) in
@[simps!]
noncomputable def toDualContinuousMultilinearMap : (⨂[𝕜] i, E i) →ₗ[𝕜]
ContinuousMultilinearMap 𝕜 E F →L[𝕜] F where
toFun x := LinearMap.mkContinuous
((LinearMap.flip (lift (R := 𝕜) (s := E) (E := F)).toLinearMap x) ∘ₗ
ContinuousMultilinearMap.toMultilinearMapLinear)
(projectiveSeminorm x)
(fun _ ↦ by simp only [LinearMap.coe_comp, Function.comp_apply,
ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.flip_apply,
LinearEquiv.coe_coe]
exact norm_eval_le_projectiveSeminorm _ _ _)
map_add' x y := by
ext _
simp only [map_add, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply,
ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.add_apply,
LinearMap.flip_apply, LinearEquiv.coe_coe, ContinuousLinearMap.add_apply]
map_smul' a x := by
ext _
simp only [map_smul, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply,
ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.smul_apply,
LinearMap.flip_apply, LinearEquiv.coe_coe, RingHom.id_apply, ContinuousLinearMap.coe_smul',
Pi.smul_apply]
theorem toDualContinuousMultilinearMap_le_projectiveSeminorm (x : ⨂[𝕜] i, E i) :
‖toDualContinuousMultilinearMap F x‖ ≤ projectiveSeminorm x := by
simp only [toDualContinuousMultilinearMap, LinearMap.coe_mk, AddHom.coe_mk]
apply LinearMap.mkContinuous_norm_le _ (apply_nonneg _ _)
noncomputable irreducible_def injectiveSeminorm : Seminorm 𝕜 (⨂[𝕜] i, E i) :=
sSup {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G)
(_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G))
(toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))}
lemma dualSeminorms_bounded : BddAbove {p | ∃ (G : Type (max uι u𝕜 uE))
(_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G),
p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G))
(toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} := by
existsi projectiveSeminorm
rw [mem_upperBounds]
simp only [Set.mem_setOf_eq, forall_exists_index]
intro p G _ _ hp
rw [hp]
intro x
simp only [Seminorm.comp_apply, coe_normSeminorm]
exact toDualContinuousMultilinearMap_le_projectiveSeminorm _
theorem injectiveSeminorm_apply (x : ⨂[𝕜] i, E i) :
injectiveSeminorm x = ⨆ p : {p | ∃ (G : Type (max uι u𝕜 uE))
(_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜
(ContinuousMultilinearMap 𝕜 E G →L[𝕜] G))
(toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))}, p.1 x := by
simp [injectiveSeminorm]
exact Seminorm.sSup_apply dualSeminorms_bounded
theorem norm_eval_le_injectiveSeminorm (f : ContinuousMultilinearMap 𝕜 E F) (x : ⨂[𝕜] i, E i) :
‖lift f.toMultilinearMap x‖ ≤ ‖f‖ * injectiveSeminorm x := by
set G := (⨂[𝕜] i, E i) ⧸ LinearMap.ker (lift f.toMultilinearMap)
set G' := LinearMap.range (lift f.toMultilinearMap)
set e := LinearMap.quotKerEquivRange (lift f.toMultilinearMap)
letI := SeminormedAddCommGroup.induced G G' e
letI := NormedSpace.induced 𝕜 G G' e
set f'₀ := lift.symm (e.symm.toLinearMap ∘ₗ LinearMap.rangeRestrict (lift f.toMultilinearMap))
have hf'₀ : ∀ (x : Π (i : ι), E i), ‖f'₀ x‖ ≤ ‖f‖ * ∏ i, ‖x i‖ := fun x ↦ by
change ‖e (f'₀ x)‖ ≤ _
simp only [lift_symm, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp,
LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, Submodule.coe_norm,
LinearMap.codRestrict_apply, lift.tprod, ContinuousMultilinearMap.coe_coe, e, f'₀]
exact f.le_opNorm x
set f' := MultilinearMap.mkContinuous f'₀ ‖f‖ hf'₀
have hnorm : ‖f'‖ ≤ ‖f‖ := (f'.opNorm_le_iff (norm_nonneg f)).mpr hf'₀
have heq : e (lift f'.toMultilinearMap x) = lift f.toMultilinearMap x := by
induction' x using PiTensorProduct.induction_on with a m _ _ hx hy
· simp only [lift_symm, map_smul, lift.tprod, ContinuousMultilinearMap.coe_coe,
MultilinearMap.coe_mkContinuous, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp,
LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, SetLike.val_smul,
LinearMap.codRestrict_apply, f', f'₀]
· simp only [map_add, AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, hx, hy]
suffices h : ‖lift f'.toMultilinearMap x‖ ≤ ‖f'‖ * injectiveSeminorm x by
change ‖(e (lift f'.toMultilinearMap x)).1‖ ≤ _ at h
rw [heq] at h
exact le_trans h (mul_le_mul_of_nonneg_right hnorm (apply_nonneg _ _))
have hle : Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G))
(toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E)) ≤ injectiveSeminorm := by
simp only [injectiveSeminorm]
refine le_csSup dualSeminorms_bounded ?_
rw [Set.mem_setOf]
existsi G, inferInstance, inferInstance
rfl
refine le_trans ?_ (mul_le_mul_of_nonneg_left (hle x) (norm_nonneg f'))
simp only [Seminorm.comp_apply, coe_normSeminorm, ← toDualContinuousMultilinearMap_apply_apply]
rw [mul_comm]
exact ContinuousLinearMap.le_opNorm _ _
theorem injectiveSeminorm_le_projectiveSeminorm :
injectiveSeminorm (𝕜 := 𝕜) (E := E) ≤ projectiveSeminorm := by
rw [injectiveSeminorm]
refine csSup_le ?_ ?_
· existsi 0
simp only [Set.mem_setOf_eq]
existsi PUnit, inferInstance, inferInstance
ext x
simp only [Seminorm.zero_apply, Seminorm.comp_apply, coe_normSeminorm]
have heq : toDualContinuousMultilinearMap PUnit x = 0 := by ext _
rw [heq, norm_zero]
· intro p hp
simp only [Set.mem_setOf_eq] at hp
obtain ⟨G, _, _, h⟩ := hp
rw [h]; intro x; simp only [Seminorm.comp_apply, coe_normSeminorm]
exact toDualContinuousMultilinearMap_le_projectiveSeminorm _
theorem injectiveSeminorm_tprod_le (m : Π (i : ι), E i) :
injectiveSeminorm (⨂ₜ[𝕜] i, m i) ≤ ∏ i, ‖m i‖ :=
le_trans (injectiveSeminorm_le_projectiveSeminorm _) (projectiveSeminorm_tprod_le m)
noncomputable instance : SeminormedAddCommGroup (⨂[𝕜] i, E i) :=
AddGroupSeminorm.toSeminormedAddCommGroup injectiveSeminorm.toAddGroupSeminorm
noncomputable instance : NormedSpace 𝕜 (⨂[𝕜] i, E i) where
norm_smul_le a x := by
change injectiveSeminorm.toFun (a • x) ≤ _
rw [injectiveSeminorm.smul']
rfl
variable (𝕜 E F)
@[simps]
noncomputable def liftEquiv : ContinuousMultilinearMap 𝕜 E F ≃ₗ[𝕜] (⨂[𝕜] i, E i) →L[𝕜] F where
toFun f := LinearMap.mkContinuous (lift f.toMultilinearMap) ‖f‖
(fun x ↦ norm_eval_le_injectiveSeminorm f x)
map_add' f g := by ext _; simp only [ContinuousMultilinearMap.toMultilinearMap_add, map_add,
LinearMap.mkContinuous_apply, LinearMap.add_apply, ContinuousLinearMap.add_apply]
map_smul' a f := by ext _; simp only [ContinuousMultilinearMap.toMultilinearMap_smul, map_smul,
LinearMap.mkContinuous_apply, LinearMap.smul_apply, RingHom.id_apply,
ContinuousLinearMap.coe_smul', Pi.smul_apply]
invFun l := MultilinearMap.mkContinuous (lift.symm l.toLinearMap) ‖l‖ (fun x ↦ by
simp only [lift_symm, LinearMap.compMultilinearMap_apply, ContinuousLinearMap.coe_coe]
refine le_trans (ContinuousLinearMap.le_opNorm _ _) (mul_le_mul_of_nonneg_left ?_
(norm_nonneg l))
exact injectiveSeminorm_tprod_le x)
left_inv f := by ext x; simp only [LinearMap.mkContinuous_coe, LinearEquiv.symm_apply_apply,
MultilinearMap.coe_mkContinuous, ContinuousMultilinearMap.coe_coe]
right_inv l := by
rw [← ContinuousLinearMap.coe_inj]
apply PiTensorProduct.ext; ext m
simp only [lift_symm, LinearMap.mkContinuous_coe, LinearMap.compMultilinearMap_apply,
lift.tprod, ContinuousMultilinearMap.coe_coe, MultilinearMap.coe_mkContinuous,
ContinuousLinearMap.coe_coe]
noncomputable def liftIsometry : ContinuousMultilinearMap 𝕜 E F ≃ₗᵢ[𝕜] (⨂[𝕜] i, E i) →L[𝕜] F :=
{ liftEquiv 𝕜 E F with
norm_map' := by
intro f
refine le_antisymm ?_ ?_
· simp only [liftEquiv, lift_symm, LinearEquiv.coe_mk]
exact LinearMap.mkContinuous_norm_le _ (norm_nonneg f) _
· conv_lhs => rw [← (liftEquiv 𝕜 E F).left_inv f]
simp only [liftEquiv, lift_symm, AddHom.toFun_eq_coe, AddHom.coe_mk,
LinearEquiv.invFun_eq_symm, LinearEquiv.coe_symm_mk, LinearMap.mkContinuous_coe,
LinearEquiv.coe_mk]
exact MultilinearMap.mkContinuous_norm_le _ (norm_nonneg _) _ }
variable {𝕜 E F}
@[simp]
theorem liftIsometry_apply_apply (f : ContinuousMultilinearMap 𝕜 E F) (x : ⨂[𝕜] i, E i) :
liftIsometry 𝕜 E F f x = lift f.toMultilinearMap x := by
simp only [liftIsometry, LinearIsometryEquiv.coe_mk, liftEquiv_apply,
LinearMap.mkContinuous_apply]
variable (𝕜)
@[simps!]
noncomputable def tprodL : ContinuousMultilinearMap 𝕜 E (⨂[𝕜] i, E i) :=
(liftIsometry 𝕜 E _).symm (ContinuousLinearMap.id 𝕜 _)
variable {𝕜}
@[simp]
theorem tprodL_coe : (tprodL 𝕜).toMultilinearMap = tprod 𝕜 (s := E) := by
ext m
simp only [ContinuousMultilinearMap.coe_coe, tprodL_toFun]
@[simp]
| Mathlib/Analysis/NormedSpace/PiTensorProduct/InjectiveSeminorm.lean | 304 | 310 | theorem liftIsometry_symm_apply (l : (⨂[𝕜] i, E i) →L[𝕜] F) :
(liftIsometry 𝕜 E F).symm l = l.compContinuousMultilinearMap (tprodL 𝕜) := by |
ext m
change (liftEquiv 𝕜 E F).symm l m = _
simp only [liftEquiv_symm_apply, lift_symm, MultilinearMap.coe_mkContinuous,
LinearMap.compMultilinearMap_apply, ContinuousLinearMap.coe_coe,
ContinuousLinearMap.compContinuousMultilinearMap_coe, Function.comp_apply, tprodL_toFun]
|
import Mathlib.Analysis.InnerProductSpace.Projection
import Mathlib.Analysis.NormedSpace.Dual
import Mathlib.Analysis.NormedSpace.Star.Basic
#align_import analysis.inner_product_space.dual from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open scoped Classical
open ComplexConjugate
universe u v
namespace InnerProductSpace
open RCLike ContinuousLinearMap
variable (𝕜 : Type*)
variable (E : Type*) [RCLike 𝕜] [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y
local postfix:90 "†" => starRingEnd _
def toDualMap : E →ₗᵢ⋆[𝕜] NormedSpace.Dual 𝕜 E :=
{ innerSL 𝕜 with norm_map' := innerSL_apply_norm _ }
#align inner_product_space.to_dual_map InnerProductSpace.toDualMap
variable {E}
@[simp]
theorem toDualMap_apply {x y : E} : toDualMap 𝕜 E x y = ⟪x, y⟫ :=
rfl
#align inner_product_space.to_dual_map_apply InnerProductSpace.toDualMap_apply
theorem innerSL_norm [Nontrivial E] : ‖(innerSL 𝕜 : E →L⋆[𝕜] E →L[𝕜] 𝕜)‖ = 1 :=
show ‖(toDualMap 𝕜 E).toContinuousLinearMap‖ = 1 from LinearIsometry.norm_toContinuousLinearMap _
set_option linter.uppercaseLean3 false in
#align inner_product_space.innerSL_norm InnerProductSpace.innerSL_norm
variable {𝕜}
theorem ext_inner_left_basis {ι : Type*} {x y : E} (b : Basis ι 𝕜 E)
(h : ∀ i : ι, ⟪b i, x⟫ = ⟪b i, y⟫) : x = y := by
apply (toDualMap 𝕜 E).map_eq_iff.mp
refine (Function.Injective.eq_iff ContinuousLinearMap.coe_injective).mp (Basis.ext b ?_)
intro i
simp only [ContinuousLinearMap.coe_coe]
rw [toDualMap_apply, toDualMap_apply]
rw [← inner_conj_symm]
conv_rhs => rw [← inner_conj_symm]
exact congr_arg conj (h i)
#align inner_product_space.ext_inner_left_basis InnerProductSpace.ext_inner_left_basis
theorem ext_inner_right_basis {ι : Type*} {x y : E} (b : Basis ι 𝕜 E)
(h : ∀ i : ι, ⟪x, b i⟫ = ⟪y, b i⟫) : x = y := by
refine ext_inner_left_basis b fun i => ?_
rw [← inner_conj_symm]
conv_rhs => rw [← inner_conj_symm]
exact congr_arg conj (h i)
#align inner_product_space.ext_inner_right_basis InnerProductSpace.ext_inner_right_basis
variable (𝕜) (E)
variable [CompleteSpace E]
def toDual : E ≃ₗᵢ⋆[𝕜] NormedSpace.Dual 𝕜 E :=
LinearIsometryEquiv.ofSurjective (toDualMap 𝕜 E)
(by
intro ℓ
set Y := LinearMap.ker ℓ
by_cases htriv : Y = ⊤
· have hℓ : ℓ = 0 := by
have h' := LinearMap.ker_eq_top.mp htriv
rw [← coe_zero] at h'
apply coe_injective
exact h'
exact ⟨0, by simp [hℓ]⟩
· rw [← Submodule.orthogonal_eq_bot_iff] at htriv
change Yᗮ ≠ ⊥ at htriv
rw [Submodule.ne_bot_iff] at htriv
obtain ⟨z : E, hz : z ∈ Yᗮ, z_ne_0 : z ≠ 0⟩ := htriv
refine ⟨(starRingEnd (R := 𝕜) (ℓ z) / ⟪z, z⟫) • z, ?_⟩
apply ContinuousLinearMap.ext
intro x
have h₁ : ℓ z • x - ℓ x • z ∈ Y := by
rw [LinearMap.mem_ker, map_sub, ContinuousLinearMap.map_smul,
ContinuousLinearMap.map_smul, Algebra.id.smul_eq_mul, Algebra.id.smul_eq_mul, mul_comm]
exact sub_self (ℓ x * ℓ z)
have h₂ : ℓ z * ⟪z, x⟫ = ℓ x * ⟪z, z⟫ :=
haveI h₃ :=
calc
0 = ⟪z, ℓ z • x - ℓ x • z⟫ := by
rw [(Y.mem_orthogonal' z).mp hz]
exact h₁
_ = ⟪z, ℓ z • x⟫ - ⟪z, ℓ x • z⟫ := by rw [inner_sub_right]
_ = ℓ z * ⟪z, x⟫ - ℓ x * ⟪z, z⟫ := by simp [inner_smul_right]
sub_eq_zero.mp (Eq.symm h₃)
have h₄ :=
calc
⟪(ℓ z† / ⟪z, z⟫) • z, x⟫ = ℓ z / ⟪z, z⟫ * ⟪z, x⟫ := by simp [inner_smul_left, conj_conj]
_ = ℓ z * ⟪z, x⟫ / ⟪z, z⟫ := by rw [← div_mul_eq_mul_div]
_ = ℓ x * ⟪z, z⟫ / ⟪z, z⟫ := by rw [h₂]
_ = ℓ x := by field_simp [inner_self_ne_zero.2 z_ne_0]
exact h₄)
#align inner_product_space.to_dual InnerProductSpace.toDual
variable {𝕜} {E}
@[simp]
theorem toDual_apply {x y : E} : toDual 𝕜 E x y = ⟪x, y⟫ :=
rfl
#align inner_product_space.to_dual_apply InnerProductSpace.toDual_apply
@[simp]
| Mathlib/Analysis/InnerProductSpace/Dual.lean | 157 | 159 | theorem toDual_symm_apply {x : E} {y : NormedSpace.Dual 𝕜 E} : ⟪(toDual 𝕜 E).symm y, x⟫ = y x := by |
rw [← toDual_apply]
simp only [LinearIsometryEquiv.apply_symm_apply]
|
import Mathlib.Algebra.Group.NatPowAssoc
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Induction
import Mathlib.Algebra.Polynomial.Eval
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)
def smul_pow : ℕ → R → S := fun n r => r • x^n
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
| Mathlib/Algebra/Polynomial/Smeval.lean | 69 | 74 | 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
|
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Measure.Haar.Unique
#align_import measure_theory.measure.lebesgue.integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
| Mathlib/MeasureTheory/Measure/Lebesgue/Integral.lean | 85 | 91 | theorem integral_comp_neg_Iic {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
(c : ℝ) (f : ℝ → E) : (∫ x in Iic c, f (-x)) = ∫ x in Ioi (-c), f x := by |
have A : MeasurableEmbedding fun x : ℝ => -x :=
(Homeomorph.neg ℝ).closedEmbedding.measurableEmbedding
have := MeasurableEmbedding.setIntegral_map (μ := volume) A f (Ici (-c))
rw [Measure.map_neg_eq_self (volume : Measure ℝ)] at this
simp_rw [← integral_Ici_eq_integral_Ioi, this, neg_preimage, preimage_neg_Ici, neg_neg]
|
import Mathlib.Data.PFunctor.Univariate.Basic
#align_import data.pfunctor.univariate.M from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
universe u v w
open Nat Function
open List
variable (F : PFunctor.{u})
-- Porting note: the ♯ tactic is never used
-- local prefix:0 "♯" => cast (by first |simp [*]|cc|solve_by_elim)
namespace PFunctor
namespace Approx
inductive CofixA : ℕ → Type u
| continue : CofixA 0
| intro {n} : ∀ a, (F.B a → CofixA n) → CofixA (succ n)
#align pfunctor.approx.cofix_a PFunctor.Approx.CofixA
protected def CofixA.default [Inhabited F.A] : ∀ n, CofixA F n
| 0 => CofixA.continue
| succ n => CofixA.intro default fun _ => CofixA.default n
#align pfunctor.approx.cofix_a.default PFunctor.Approx.CofixA.default
instance [Inhabited F.A] {n} : Inhabited (CofixA F n) :=
⟨CofixA.default F n⟩
theorem cofixA_eq_zero : ∀ x y : CofixA F 0, x = y
| CofixA.continue, CofixA.continue => rfl
#align pfunctor.approx.cofix_a_eq_zero PFunctor.Approx.cofixA_eq_zero
variable {F}
def head' : ∀ {n}, CofixA F (succ n) → F.A
| _, CofixA.intro i _ => i
#align pfunctor.approx.head' PFunctor.Approx.head'
def children' : ∀ {n} (x : CofixA F (succ n)), F.B (head' x) → CofixA F n
| _, CofixA.intro _ f => f
#align pfunctor.approx.children' PFunctor.Approx.children'
theorem approx_eta {n : ℕ} (x : CofixA F (n + 1)) : x = CofixA.intro (head' x) (children' x) := by
cases x; rfl
#align pfunctor.approx.approx_eta PFunctor.Approx.approx_eta
inductive Agree : ∀ {n : ℕ}, CofixA F n → CofixA F (n + 1) → Prop
| continu (x : CofixA F 0) (y : CofixA F 1) : Agree x y
| intro {n} {a} (x : F.B a → CofixA F n) (x' : F.B a → CofixA F (n + 1)) :
(∀ i : F.B a, Agree (x i) (x' i)) → Agree (CofixA.intro a x) (CofixA.intro a x')
#align pfunctor.approx.agree PFunctor.Approx.Agree
def AllAgree (x : ∀ n, CofixA F n) :=
∀ n, Agree (x n) (x (succ n))
#align pfunctor.approx.all_agree PFunctor.Approx.AllAgree
@[simp]
theorem agree_trival {x : CofixA F 0} {y : CofixA F 1} : Agree x y := by constructor
#align pfunctor.approx.agree_trival PFunctor.Approx.agree_trival
theorem agree_children {n : ℕ} (x : CofixA F (succ n)) (y : CofixA F (succ n + 1)) {i j}
(h₀ : HEq i j) (h₁ : Agree x y) : Agree (children' x i) (children' y j) := by
cases' h₁ with _ _ _ _ _ _ hagree; cases h₀
apply hagree
#align pfunctor.approx.agree_children PFunctor.Approx.agree_children
def truncate : ∀ {n : ℕ}, CofixA F (n + 1) → CofixA F n
| 0, CofixA.intro _ _ => CofixA.continue
| succ _, CofixA.intro i f => CofixA.intro i <| truncate ∘ f
#align pfunctor.approx.truncate PFunctor.Approx.truncate
| Mathlib/Data/PFunctor/Univariate/M.lean | 101 | 115 | theorem truncate_eq_of_agree {n : ℕ} (x : CofixA F n) (y : CofixA F (succ n)) (h : Agree x y) :
truncate y = x := by |
induction n <;> cases x <;> cases y
· rfl
· -- cases' h with _ _ _ _ _ h₀ h₁
cases h
simp only [truncate, Function.comp, true_and_iff, eq_self_iff_true, heq_iff_eq]
-- Porting note: used to be `ext y`
rename_i n_ih a f y h₁
suffices (fun x => truncate (y x)) = f
by simp [this]
funext y
apply n_ih
apply h₁
|
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"
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)
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
@[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
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
@[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
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
@[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
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
@[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'
@[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
@[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)
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
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
| Mathlib/LinearAlgebra/Span.lean | 339 | 339 | theorem span_sup : span R s ⊔ p = span R (s ∪ p) := by | rw [Submodule.span_union, p.span_eq]
|
import Mathlib.Combinatorics.SimpleGraph.DegreeSum
import Mathlib.Combinatorics.SimpleGraph.Subgraph
#align_import combinatorics.simple_graph.matching from "leanprover-community/mathlib"@"138448ae98f529ef34eeb61114191975ee2ca508"
universe u
namespace SimpleGraph
variable {V : Type u} {G : SimpleGraph V} (M : Subgraph G)
namespace Subgraph
def IsMatching : Prop := ∀ ⦃v⦄, v ∈ M.verts → ∃! w, M.Adj v w
#align simple_graph.subgraph.is_matching SimpleGraph.Subgraph.IsMatching
noncomputable def IsMatching.toEdge {M : Subgraph G} (h : M.IsMatching) (v : M.verts) : M.edgeSet :=
⟨s(v, (h v.property).choose), (h v.property).choose_spec.1⟩
#align simple_graph.subgraph.is_matching.to_edge SimpleGraph.Subgraph.IsMatching.toEdge
theorem IsMatching.toEdge_eq_of_adj {M : Subgraph G} (h : M.IsMatching) {v w : V} (hv : v ∈ M.verts)
(hvw : M.Adj v w) : h.toEdge ⟨v, hv⟩ = ⟨s(v, w), hvw⟩ := by
simp only [IsMatching.toEdge, Subtype.mk_eq_mk]
congr
exact ((h (M.edge_vert hvw)).choose_spec.2 w hvw).symm
#align simple_graph.subgraph.is_matching.to_edge_eq_of_adj SimpleGraph.Subgraph.IsMatching.toEdge_eq_of_adj
theorem IsMatching.toEdge.surjective {M : Subgraph G} (h : M.IsMatching) :
Function.Surjective h.toEdge := by
rintro ⟨e, he⟩
refine Sym2.ind (fun x y he => ?_) e he
exact ⟨⟨x, M.edge_vert he⟩, h.toEdge_eq_of_adj _ he⟩
#align simple_graph.subgraph.is_matching.to_edge.surjective SimpleGraph.Subgraph.IsMatching.toEdge.surjective
theorem IsMatching.toEdge_eq_toEdge_of_adj {M : Subgraph G} {v w : V} (h : M.IsMatching)
(hv : v ∈ M.verts) (hw : w ∈ M.verts) (ha : M.Adj v w) :
h.toEdge ⟨v, hv⟩ = h.toEdge ⟨w, hw⟩ := by
rw [h.toEdge_eq_of_adj hv ha, h.toEdge_eq_of_adj hw (M.symm ha), Subtype.mk_eq_mk, Sym2.eq_swap]
#align simple_graph.subgraph.is_matching.to_edge_eq_to_edge_of_adj SimpleGraph.Subgraph.IsMatching.toEdge_eq_toEdge_of_adj
def IsPerfectMatching : Prop := M.IsMatching ∧ M.IsSpanning
#align simple_graph.subgraph.is_perfect_matching SimpleGraph.Subgraph.IsPerfectMatching
theorem IsMatching.support_eq_verts {M : Subgraph G} (h : M.IsMatching) : M.support = M.verts := by
refine M.support_subset_verts.antisymm fun v hv => ?_
obtain ⟨w, hvw, -⟩ := h hv
exact ⟨_, hvw⟩
#align simple_graph.subgraph.is_matching.support_eq_verts SimpleGraph.Subgraph.IsMatching.support_eq_verts
theorem isMatching_iff_forall_degree {M : Subgraph G} [∀ v : V, Fintype (M.neighborSet v)] :
M.IsMatching ↔ ∀ v : V, v ∈ M.verts → M.degree v = 1 := by
simp only [degree_eq_one_iff_unique_adj, IsMatching]
#align simple_graph.subgraph.is_matching_iff_forall_degree SimpleGraph.Subgraph.isMatching_iff_forall_degree
theorem IsMatching.even_card {M : Subgraph G} [Fintype M.verts] (h : M.IsMatching) :
Even M.verts.toFinset.card := by
classical
rw [isMatching_iff_forall_degree] at h
use M.coe.edgeFinset.card
rw [← two_mul, ← M.coe.sum_degrees_eq_twice_card_edges]
-- Porting note: `SimpleGraph.Subgraph.coe_degree` does not trigger because it uses
-- instance arguments instead of implicit arguments for the first `Fintype` argument.
-- Using a `convert_to` to swap out the `Fintype` instance to the "right" one.
convert_to _ = Finset.sum Finset.univ fun v => SimpleGraph.degree (Subgraph.coe M) v using 3
simp [h, Finset.card_univ]
#align simple_graph.subgraph.is_matching.even_card SimpleGraph.Subgraph.IsMatching.even_card
theorem isPerfectMatching_iff : M.IsPerfectMatching ↔ ∀ v, ∃! w, M.Adj v w := by
refine ⟨?_, fun hm => ⟨fun v _ => hm v, fun v => ?_⟩⟩
· rintro ⟨hm, hs⟩ v
exact hm (hs v)
· obtain ⟨w, hw, -⟩ := hm v
exact M.edge_vert hw
#align simple_graph.subgraph.is_perfect_matching_iff SimpleGraph.Subgraph.isPerfectMatching_iff
| Mathlib/Combinatorics/SimpleGraph/Matching.lean | 122 | 124 | theorem isPerfectMatching_iff_forall_degree {M : Subgraph G} [∀ v, Fintype (M.neighborSet v)] :
M.IsPerfectMatching ↔ ∀ v, M.degree v = 1 := by |
simp [degree_eq_one_iff_unique_adj, isPerfectMatching_iff]
|
import Mathlib.Analysis.Normed.Group.Pointwise
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.normed_space.pointwise from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156"
open Metric Set
open Pointwise Topology
variable {𝕜 E : Type*}
variable [NormedField 𝕜]
section SeminormedAddCommGroup
variable [SeminormedAddCommGroup E] [NormedSpace 𝕜 E]
theorem smul_ball {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) : c • ball x r = ball (c • x) (‖c‖ * r) := by
ext y
rw [mem_smul_set_iff_inv_smul_mem₀ hc]
conv_lhs => rw [← inv_smul_smul₀ hc x]
simp [← div_eq_inv_mul, div_lt_iff (norm_pos_iff.2 hc), mul_comm _ r, dist_smul₀]
#align smul_ball smul_ball
theorem smul_unitBall {c : 𝕜} (hc : c ≠ 0) : c • ball (0 : E) (1 : ℝ) = ball (0 : E) ‖c‖ := by
rw [_root_.smul_ball hc, smul_zero, mul_one]
#align smul_unit_ball smul_unitBall
theorem smul_sphere' {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) :
c • sphere x r = sphere (c • x) (‖c‖ * r) := by
ext y
rw [mem_smul_set_iff_inv_smul_mem₀ hc]
conv_lhs => rw [← inv_smul_smul₀ hc x]
simp only [mem_sphere, dist_smul₀, norm_inv, ← div_eq_inv_mul, div_eq_iff (norm_pos_iff.2 hc).ne',
mul_comm r]
#align smul_sphere' smul_sphere'
theorem smul_closedBall' {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) :
c • closedBall x r = closedBall (c • x) (‖c‖ * r) := by
simp only [← ball_union_sphere, Set.smul_set_union, _root_.smul_ball hc, smul_sphere' hc]
#align smul_closed_ball' smul_closedBall'
theorem set_smul_sphere_zero {s : Set 𝕜} (hs : 0 ∉ s) (r : ℝ) :
s • sphere (0 : E) r = (‖·‖) ⁻¹' ((‖·‖ * r) '' s) :=
calc
s • sphere (0 : E) r = ⋃ c ∈ s, c • sphere (0 : E) r := iUnion_smul_left_image.symm
_ = ⋃ c ∈ s, sphere (0 : E) (‖c‖ * r) := iUnion₂_congr fun c hc ↦ by
rw [smul_sphere' (ne_of_mem_of_not_mem hc hs), smul_zero]
_ = (‖·‖) ⁻¹' ((‖·‖ * r) '' s) := by ext; simp [eq_comm]
theorem Bornology.IsBounded.smul₀ {s : Set E} (hs : IsBounded s) (c : 𝕜) : IsBounded (c • s) :=
(lipschitzWith_smul c).isBounded_image hs
#align metric.bounded.smul Bornology.IsBounded.smul₀
theorem eventually_singleton_add_smul_subset {x : E} {s : Set E} (hs : Bornology.IsBounded s)
{u : Set E} (hu : u ∈ 𝓝 x) : ∀ᶠ r in 𝓝 (0 : 𝕜), {x} + r • s ⊆ u := by
obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ closedBall x ε ⊆ u := nhds_basis_closedBall.mem_iff.1 hu
obtain ⟨R, Rpos, hR⟩ : ∃ R : ℝ, 0 < R ∧ s ⊆ closedBall 0 R := hs.subset_closedBall_lt 0 0
have : Metric.closedBall (0 : 𝕜) (ε / R) ∈ 𝓝 (0 : 𝕜) := closedBall_mem_nhds _ (div_pos εpos Rpos)
filter_upwards [this] with r hr
simp only [image_add_left, singleton_add]
intro y hy
obtain ⟨z, zs, hz⟩ : ∃ z : E, z ∈ s ∧ r • z = -x + y := by simpa [mem_smul_set] using hy
have I : ‖r • z‖ ≤ ε :=
calc
‖r • z‖ = ‖r‖ * ‖z‖ := norm_smul _ _
_ ≤ ε / R * R :=
(mul_le_mul (mem_closedBall_zero_iff.1 hr) (mem_closedBall_zero_iff.1 (hR zs))
(norm_nonneg _) (div_pos εpos Rpos).le)
_ = ε := by field_simp
have : y = x + r • z := by simp only [hz, add_neg_cancel_left]
apply hε
simpa only [this, dist_eq_norm, add_sub_cancel_left, mem_closedBall] using I
#align eventually_singleton_add_smul_subset eventually_singleton_add_smul_subset
variable [NormedSpace ℝ E] {x y z : E} {δ ε : ℝ}
theorem smul_unitBall_of_pos {r : ℝ} (hr : 0 < r) : r • ball (0 : E) 1 = ball (0 : E) r := by
rw [smul_unitBall hr.ne', Real.norm_of_nonneg hr.le]
#align smul_unit_ball_of_pos smul_unitBall_of_pos
lemma Ioo_smul_sphere_zero {a b r : ℝ} (ha : 0 ≤ a) (hr : 0 < r) :
Ioo a b • sphere (0 : E) r = ball 0 (b * r) \ closedBall 0 (a * r) := by
have : EqOn (‖·‖) id (Ioo a b) := fun x hx ↦ abs_of_pos (ha.trans_lt hx.1)
rw [set_smul_sphere_zero (by simp [ha.not_lt]), ← image_image (· * r), this.image_eq, image_id,
image_mul_right_Ioo _ _ hr]
ext x; simp [and_comm]
-- This is also true for `ℚ`-normed spaces
theorem exists_dist_eq (x z : E) {a b : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1) :
∃ y, dist x y = b * dist x z ∧ dist y z = a * dist x z := by
use a • x + b • z
nth_rw 1 [← one_smul ℝ x]
nth_rw 4 [← one_smul ℝ z]
simp [dist_eq_norm, ← hab, add_smul, ← smul_sub, norm_smul_of_nonneg, ha, hb]
#align exists_dist_eq exists_dist_eq
theorem exists_dist_le_le (hδ : 0 ≤ δ) (hε : 0 ≤ ε) (h : dist x z ≤ ε + δ) :
∃ y, dist x y ≤ δ ∧ dist y z ≤ ε := by
obtain rfl | hε' := hε.eq_or_lt
· exact ⟨z, by rwa [zero_add] at h, (dist_self _).le⟩
have hεδ := add_pos_of_pos_of_nonneg hε' hδ
refine (exists_dist_eq x z (div_nonneg hε <| add_nonneg hε hδ)
(div_nonneg hδ <| add_nonneg hε hδ) <| by
rw [← add_div, div_self hεδ.ne']).imp
fun y hy => ?_
rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε]
rw [← div_le_one hεδ] at h
exact ⟨mul_le_of_le_one_left hδ h, mul_le_of_le_one_left hε h⟩
#align exists_dist_le_le exists_dist_le_le
-- This is also true for `ℚ`-normed spaces
theorem exists_dist_le_lt (hδ : 0 ≤ δ) (hε : 0 < ε) (h : dist x z < ε + δ) :
∃ y, dist x y ≤ δ ∧ dist y z < ε := by
refine (exists_dist_eq x z (div_nonneg hε.le <| add_nonneg hε.le hδ)
(div_nonneg hδ <| add_nonneg hε.le hδ) <| by
rw [← add_div, div_self (add_pos_of_pos_of_nonneg hε hδ).ne']).imp
fun y hy => ?_
rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε]
rw [← div_lt_one (add_pos_of_pos_of_nonneg hε hδ)] at h
exact ⟨mul_le_of_le_one_left hδ h.le, mul_lt_of_lt_one_left hε h⟩
#align exists_dist_le_lt exists_dist_le_lt
-- This is also true for `ℚ`-normed spaces
theorem exists_dist_lt_le (hδ : 0 < δ) (hε : 0 ≤ ε) (h : dist x z < ε + δ) :
∃ y, dist x y < δ ∧ dist y z ≤ ε := by
obtain ⟨y, yz, xy⟩ :=
exists_dist_le_lt hε hδ (show dist z x < δ + ε by simpa only [dist_comm, add_comm] using h)
exact ⟨y, by simp [dist_comm x y, dist_comm y z, *]⟩
#align exists_dist_lt_le exists_dist_lt_le
-- This is also true for `ℚ`-normed spaces
theorem exists_dist_lt_lt (hδ : 0 < δ) (hε : 0 < ε) (h : dist x z < ε + δ) :
∃ y, dist x y < δ ∧ dist y z < ε := by
refine (exists_dist_eq x z (div_nonneg hε.le <| add_nonneg hε.le hδ.le)
(div_nonneg hδ.le <| add_nonneg hε.le hδ.le) <| by
rw [← add_div, div_self (add_pos hε hδ).ne']).imp
fun y hy => ?_
rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε]
rw [← div_lt_one (add_pos hε hδ)] at h
exact ⟨mul_lt_of_lt_one_left hδ h, mul_lt_of_lt_one_left hε h⟩
#align exists_dist_lt_lt exists_dist_lt_lt
-- This is also true for `ℚ`-normed spaces
theorem disjoint_ball_ball_iff (hδ : 0 < δ) (hε : 0 < ε) :
Disjoint (ball x δ) (ball y ε) ↔ δ + ε ≤ dist x y := by
refine ⟨fun h => le_of_not_lt fun hxy => ?_, ball_disjoint_ball⟩
rw [add_comm] at hxy
obtain ⟨z, hxz, hzy⟩ := exists_dist_lt_lt hδ hε hxy
rw [dist_comm] at hxz
exact h.le_bot ⟨hxz, hzy⟩
#align disjoint_ball_ball_iff disjoint_ball_ball_iff
-- This is also true for `ℚ`-normed spaces
| Mathlib/Analysis/NormedSpace/Pointwise.lean | 227 | 233 | theorem disjoint_ball_closedBall_iff (hδ : 0 < δ) (hε : 0 ≤ ε) :
Disjoint (ball x δ) (closedBall y ε) ↔ δ + ε ≤ dist x y := by |
refine ⟨fun h => le_of_not_lt fun hxy => ?_, ball_disjoint_closedBall⟩
rw [add_comm] at hxy
obtain ⟨z, hxz, hzy⟩ := exists_dist_lt_le hδ hε hxy
rw [dist_comm] at hxz
exact h.le_bot ⟨hxz, hzy⟩
|
import Mathlib.Algebra.CharP.Two
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Data.Nat.Periodic
import Mathlib.Data.ZMod.Basic
import Mathlib.Tactic.Monotonicity
#align_import data.nat.totient from "leanprover-community/mathlib"@"5cc2dfdd3e92f340411acea4427d701dc7ed26f8"
open Finset
namespace Nat
def totient (n : ℕ) : ℕ :=
((range n).filter n.Coprime).card
#align nat.totient Nat.totient
@[inherit_doc]
scoped notation "φ" => Nat.totient
@[simp]
theorem totient_zero : φ 0 = 0 :=
rfl
#align nat.totient_zero Nat.totient_zero
@[simp]
theorem totient_one : φ 1 = 1 := rfl
#align nat.totient_one Nat.totient_one
theorem totient_eq_card_coprime (n : ℕ) : φ n = ((range n).filter n.Coprime).card :=
rfl
#align nat.totient_eq_card_coprime Nat.totient_eq_card_coprime
theorem totient_eq_card_lt_and_coprime (n : ℕ) : φ n = Nat.card { m | m < n ∧ n.Coprime m } := by
let e : { m | m < n ∧ n.Coprime m } ≃ Finset.filter n.Coprime (Finset.range n) :=
{ toFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩
invFun := fun m => ⟨m, by simpa only [Finset.mem_filter, Finset.mem_range] using m.property⟩
left_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta]
right_inv := fun m => by simp only [Subtype.coe_mk, Subtype.coe_eta] }
rw [totient_eq_card_coprime, card_congr e, card_eq_fintype_card, Fintype.card_coe]
#align nat.totient_eq_card_lt_and_coprime Nat.totient_eq_card_lt_and_coprime
theorem totient_le (n : ℕ) : φ n ≤ n :=
((range n).card_filter_le _).trans_eq (card_range n)
#align nat.totient_le Nat.totient_le
theorem totient_lt (n : ℕ) (hn : 1 < n) : φ n < n :=
(card_lt_card (filter_ssubset.2 ⟨0, by simp [hn.ne', pos_of_gt hn]⟩)).trans_eq (card_range n)
#align nat.totient_lt Nat.totient_lt
@[simp]
theorem totient_eq_zero : ∀ {n : ℕ}, φ n = 0 ↔ n = 0
| 0 => by decide
| n + 1 =>
suffices ∃ x < n + 1, (n + 1).gcd x = 1 by simpa [totient, filter_eq_empty_iff]
⟨1 % (n + 1), mod_lt _ n.succ_pos, by rw [gcd_comm, ← gcd_rec, gcd_one_right]⟩
@[simp] theorem totient_pos {n : ℕ} : 0 < φ n ↔ 0 < n := by simp [pos_iff_ne_zero]
#align nat.totient_pos Nat.totient_pos
theorem filter_coprime_Ico_eq_totient (a n : ℕ) :
((Ico n (n + a)).filter (Coprime a)).card = totient a := by
rw [totient, filter_Ico_card_eq_of_periodic, count_eq_card_filter_range]
exact periodic_coprime a
#align nat.filter_coprime_Ico_eq_totient Nat.filter_coprime_Ico_eq_totient
theorem Ico_filter_coprime_le {a : ℕ} (k n : ℕ) (a_pos : 0 < a) :
((Ico k (k + n)).filter (Coprime a)).card ≤ totient a * (n / a + 1) := by
conv_lhs => rw [← Nat.mod_add_div n a]
induction' n / a with i ih
· rw [← filter_coprime_Ico_eq_totient a k]
simp only [add_zero, mul_one, mul_zero, le_of_lt (mod_lt n a_pos),
Nat.zero_eq, zero_add]
-- Porting note: below line was `mono`
refine Finset.card_mono ?_
refine monotone_filter_left a.Coprime ?_
simp only [Finset.le_eq_subset]
exact Ico_subset_Ico rfl.le (add_le_add_left (le_of_lt (mod_lt n a_pos)) k)
simp only [mul_succ]
simp_rw [← add_assoc] at ih ⊢
calc
(filter a.Coprime (Ico k (k + n % a + a * i + a))).card = (filter a.Coprime
(Ico k (k + n % a + a * i) ∪ Ico (k + n % a + a * i) (k + n % a + a * i + a))).card := by
congr
rw [Ico_union_Ico_eq_Ico]
· rw [add_assoc]
exact le_self_add
exact le_self_add
_ ≤ (filter a.Coprime (Ico k (k + n % a + a * i))).card + a.totient := by
rw [filter_union, ← filter_coprime_Ico_eq_totient a (k + n % a + a * i)]
apply card_union_le
_ ≤ a.totient * i + a.totient + a.totient := add_le_add_right ih (totient a)
#align nat.Ico_filter_coprime_le Nat.Ico_filter_coprime_le
open ZMod
@[simp]
theorem _root_.ZMod.card_units_eq_totient (n : ℕ) [NeZero n] [Fintype (ZMod n)ˣ] :
Fintype.card (ZMod n)ˣ = φ n :=
calc
Fintype.card (ZMod n)ˣ = Fintype.card { x : ZMod n // x.val.Coprime n } :=
Fintype.card_congr ZMod.unitsEquivCoprime
_ = φ n := by
obtain ⟨m, rfl⟩ : ∃ m, n = m + 1 := exists_eq_succ_of_ne_zero NeZero.out
simp only [totient, Finset.card_eq_sum_ones, Fintype.card_subtype, Finset.sum_filter, ←
Fin.sum_univ_eq_sum_range, @Nat.coprime_comm (m + 1)]
rfl
#align zmod.card_units_eq_totient ZMod.card_units_eq_totient
theorem totient_even {n : ℕ} (hn : 2 < n) : Even n.totient := by
haveI : Fact (1 < n) := ⟨one_lt_two.trans hn⟩
haveI : NeZero n := NeZero.of_gt hn
suffices 2 = orderOf (-1 : (ZMod n)ˣ) by
rw [← ZMod.card_units_eq_totient, even_iff_two_dvd, this]
exact orderOf_dvd_card
rw [← orderOf_units, Units.coe_neg_one, orderOf_neg_one, ringChar.eq (ZMod n) n, if_neg hn.ne']
#align nat.totient_even Nat.totient_even
theorem totient_mul {m n : ℕ} (h : m.Coprime n) : φ (m * n) = φ m * φ n :=
if hmn0 : m * n = 0 then by
cases' Nat.mul_eq_zero.1 hmn0 with h h <;>
simp only [totient_zero, mul_zero, zero_mul, h]
else by
haveI : NeZero (m * n) := ⟨hmn0⟩
haveI : NeZero m := ⟨left_ne_zero_of_mul hmn0⟩
haveI : NeZero n := ⟨right_ne_zero_of_mul hmn0⟩
simp only [← ZMod.card_units_eq_totient]
rw [Fintype.card_congr (Units.mapEquiv (ZMod.chineseRemainder h).toMulEquiv).toEquiv,
Fintype.card_congr (@MulEquiv.prodUnits (ZMod m) (ZMod n) _ _).toEquiv, Fintype.card_prod]
#align nat.totient_mul Nat.totient_mul
theorem totient_div_of_dvd {n d : ℕ} (hnd : d ∣ n) :
φ (n / d) = (filter (fun k : ℕ => n.gcd k = d) (range n)).card := by
rcases d.eq_zero_or_pos with (rfl | hd0); · simp [eq_zero_of_zero_dvd hnd]
rcases hnd with ⟨x, rfl⟩
rw [Nat.mul_div_cancel_left x hd0]
apply Finset.card_bij fun k _ => d * k
· simp only [mem_filter, mem_range, and_imp, Coprime]
refine fun a ha1 ha2 => ⟨(mul_lt_mul_left hd0).2 ha1, ?_⟩
rw [gcd_mul_left, ha2, mul_one]
· simp [hd0.ne']
· simp only [mem_filter, mem_range, exists_prop, and_imp]
refine fun b hb1 hb2 => ?_
have : d ∣ b := by
rw [← hb2]
apply gcd_dvd_right
rcases this with ⟨q, rfl⟩
refine ⟨q, ⟨⟨(mul_lt_mul_left hd0).1 hb1, ?_⟩, rfl⟩⟩
rwa [gcd_mul_left, mul_right_eq_self_iff hd0] at hb2
#align nat.totient_div_of_dvd Nat.totient_div_of_dvd
theorem sum_totient (n : ℕ) : n.divisors.sum φ = n := by
rcases n.eq_zero_or_pos with (rfl | hn)
· simp
rw [← sum_div_divisors n φ]
have : n = ∑ d ∈ n.divisors, (filter (fun k : ℕ => n.gcd k = d) (range n)).card := by
nth_rw 1 [← card_range n]
refine card_eq_sum_card_fiberwise fun x _ => mem_divisors.2 ⟨?_, hn.ne'⟩
apply gcd_dvd_left
nth_rw 3 [this]
exact sum_congr rfl fun x hx => totient_div_of_dvd (dvd_of_mem_divisors hx)
#align nat.sum_totient Nat.sum_totient
theorem sum_totient' (n : ℕ) : (∑ m ∈ (range n.succ).filter (· ∣ n), φ m) = n := by
convert sum_totient _ using 1
simp only [Nat.divisors, sum_filter, range_eq_Ico]
rw [sum_eq_sum_Ico_succ_bot] <;> simp
#align nat.sum_totient' Nat.sum_totient'
theorem totient_prime_pow_succ {p : ℕ} (hp : p.Prime) (n : ℕ) : φ (p ^ (n + 1)) = p ^ n * (p - 1) :=
calc
φ (p ^ (n + 1)) = ((range (p ^ (n + 1))).filter (Coprime (p ^ (n + 1)))).card :=
totient_eq_card_coprime _
_ = (range (p ^ (n + 1)) \ (range (p ^ n)).image (· * p)).card :=
(congr_arg card
(by
rw [sdiff_eq_filter]
apply filter_congr
simp only [mem_range, mem_filter, coprime_pow_left_iff n.succ_pos, mem_image, not_exists,
hp.coprime_iff_not_dvd]
intro a ha
constructor
· intro hap b h; rcases h with ⟨_, rfl⟩
exact hap (dvd_mul_left _ _)
· rintro h ⟨b, rfl⟩
rw [pow_succ'] at ha
exact h b ⟨lt_of_mul_lt_mul_left ha (zero_le _), mul_comm _ _⟩))
_ = _ := by
have h1 : Function.Injective (· * p) := mul_left_injective₀ hp.ne_zero
have h2 : (range (p ^ n)).image (· * p) ⊆ range (p ^ (n + 1)) := fun a => by
simp only [mem_image, mem_range, exists_imp]
rintro b ⟨h, rfl⟩
rw [Nat.pow_succ]
exact (mul_lt_mul_right hp.pos).2 h
rw [card_sdiff h2, Finset.card_image_of_injective _ h1, card_range, card_range, ←
one_mul (p ^ n), pow_succ', ← tsub_mul, one_mul, mul_comm]
#align nat.totient_prime_pow_succ Nat.totient_prime_pow_succ
theorem totient_prime_pow {p : ℕ} (hp : p.Prime) {n : ℕ} (hn : 0 < n) :
φ (p ^ n) = p ^ (n - 1) * (p - 1) := by
rcases exists_eq_succ_of_ne_zero (pos_iff_ne_zero.1 hn) with ⟨m, rfl⟩
exact totient_prime_pow_succ hp _
#align nat.totient_prime_pow Nat.totient_prime_pow
theorem totient_prime {p : ℕ} (hp : p.Prime) : φ p = p - 1 := by
rw [← pow_one p, totient_prime_pow hp] <;> simp
#align nat.totient_prime Nat.totient_prime
| Mathlib/Data/Nat/Totient.lean | 231 | 243 | theorem totient_eq_iff_prime {p : ℕ} (hp : 0 < p) : p.totient = p - 1 ↔ p.Prime := by |
refine ⟨fun h => ?_, totient_prime⟩
replace hp : 1 < p := by
apply lt_of_le_of_ne
· rwa [succ_le_iff]
· rintro rfl
rw [totient_one, tsub_self] at h
exact one_ne_zero h
rw [totient_eq_card_coprime, range_eq_Ico, ← Ico_insert_succ_left hp.le, Finset.filter_insert,
if_neg (not_coprime_of_dvd_of_dvd hp (dvd_refl p) (dvd_zero p)), ← Nat.card_Ico 1 p] at h
refine
p.prime_of_coprime hp fun n hn hnz => Finset.filter_card_eq h n <| Finset.mem_Ico.mpr ⟨?_, hn⟩
rwa [succ_le_iff, pos_iff_ne_zero]
|
import Mathlib.Algebra.Algebra.Spectrum
import Mathlib.LinearAlgebra.GeneralLinearGroup
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.RingTheory.Nilpotent.Basic
#align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
universe u v w
namespace Module
namespace End
open FiniteDimensional Set
variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K]
[AddCommGroup V] [Module K V]
def eigenspace (f : End R M) (μ : R) : Submodule R M :=
LinearMap.ker (f - algebraMap R (End R M) μ)
#align module.End.eigenspace Module.End.eigenspace
@[simp]
theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace]
#align module.End.eigenspace_zero Module.End.eigenspace_zero
def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop :=
x ∈ eigenspace f μ ∧ x ≠ 0
#align module.End.has_eigenvector Module.End.HasEigenvector
def HasEigenvalue (f : End R M) (a : R) : Prop :=
eigenspace f a ≠ ⊥
#align module.End.has_eigenvalue Module.End.HasEigenvalue
def Eigenvalues (f : End R M) : Type _ :=
{ μ : R // f.HasEigenvalue μ }
#align module.End.eigenvalues Module.End.Eigenvalues
@[coe]
def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val
instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where
coe := Eigenvalues.val f
instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) :
DecidableEq (Eigenvalues f) :=
inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x)))
theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) :
HasEigenvalue f μ := by
rw [HasEigenvalue, Submodule.ne_bot_iff]
use x; exact h
#align module.End.has_eigenvalue_of_has_eigenvector Module.End.hasEigenvalue_of_hasEigenvector
theorem mem_eigenspace_iff {f : End R M} {μ : R} {x : M} : x ∈ eigenspace f μ ↔ f x = μ • x := by
rw [eigenspace, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply, sub_eq_zero]
#align module.End.mem_eigenspace_iff Module.End.mem_eigenspace_iff
theorem HasEigenvector.apply_eq_smul {f : End R M} {μ : R} {x : M} (hx : f.HasEigenvector μ x) :
f x = μ • x :=
mem_eigenspace_iff.mp hx.1
#align module.End.has_eigenvector.apply_eq_smul Module.End.HasEigenvector.apply_eq_smul
theorem HasEigenvector.pow_apply {f : End R M} {μ : R} {v : M} (hv : f.HasEigenvector μ v) (n : ℕ) :
(f ^ n) v = μ ^ n • v := by
induction n <;> simp [*, pow_succ f, hv.apply_eq_smul, smul_smul, pow_succ' μ]
theorem HasEigenvalue.exists_hasEigenvector {f : End R M} {μ : R} (hμ : f.HasEigenvalue μ) :
∃ v, f.HasEigenvector μ v :=
Submodule.exists_mem_ne_zero_of_ne_bot hμ
#align module.End.has_eigenvalue.exists_has_eigenvector Module.End.HasEigenvalue.exists_hasEigenvector
lemma HasEigenvalue.pow {f : End R M} {μ : R} (h : f.HasEigenvalue μ) (n : ℕ) :
(f ^ n).HasEigenvalue (μ ^ n) := by
rw [HasEigenvalue, Submodule.ne_bot_iff]
obtain ⟨m : M, hm⟩ := h.exists_hasEigenvector
exact ⟨m, by simpa [mem_eigenspace_iff] using hm.pow_apply n, hm.2⟩
lemma HasEigenvalue.isNilpotent_of_isNilpotent [NoZeroSMulDivisors R M] {f : End R M}
(hfn : IsNilpotent f) {μ : R} (hf : f.HasEigenvalue μ) :
IsNilpotent μ := by
obtain ⟨m : M, hm⟩ := hf.exists_hasEigenvector
obtain ⟨n : ℕ, hn : f ^ n = 0⟩ := hfn
exact ⟨n, by simpa [hn, hm.2, eq_comm (a := (0 : M))] using hm.pow_apply n⟩
theorem HasEigenvalue.mem_spectrum {f : End R M} {μ : R} (hμ : HasEigenvalue f μ) :
μ ∈ spectrum R f := by
refine spectrum.mem_iff.mpr fun h_unit => ?_
set f' := LinearMap.GeneralLinearGroup.toLinearEquiv h_unit.unit
rcases hμ.exists_hasEigenvector with ⟨v, hv⟩
refine hv.2 ((LinearMap.ker_eq_bot'.mp f'.ker) v (?_ : μ • v - f v = 0))
rw [hv.apply_eq_smul, sub_self]
#align module.End.mem_spectrum_of_has_eigenvalue Module.End.HasEigenvalue.mem_spectrum
theorem hasEigenvalue_iff_mem_spectrum [FiniteDimensional K V] {f : End K V} {μ : K} :
f.HasEigenvalue μ ↔ μ ∈ spectrum K f := by
rw [spectrum.mem_iff, IsUnit.sub_iff, LinearMap.isUnit_iff_ker_eq_bot, HasEigenvalue, eigenspace]
#align module.End.has_eigenvalue_iff_mem_spectrum Module.End.hasEigenvalue_iff_mem_spectrum
alias ⟨_, HasEigenvalue.of_mem_spectrum⟩ := hasEigenvalue_iff_mem_spectrum
theorem eigenspace_div (f : End K V) (a b : K) (hb : b ≠ 0) :
eigenspace f (a / b) = LinearMap.ker (b • f - algebraMap K (End K V) a) :=
calc
eigenspace f (a / b) = eigenspace f (b⁻¹ * a) := by rw [div_eq_mul_inv, mul_comm]
_ = LinearMap.ker (f - (b⁻¹ * a) • LinearMap.id) := by rw [eigenspace]; rfl
_ = LinearMap.ker (f - b⁻¹ • a • LinearMap.id) := by rw [smul_smul]
_ = LinearMap.ker (f - b⁻¹ • algebraMap K (End K V) a) := rfl
_ = LinearMap.ker (b • (f - b⁻¹ • algebraMap K (End K V) a)) := by
rw [LinearMap.ker_smul _ b hb]
_ = LinearMap.ker (b • f - algebraMap K (End K V) a) := by rw [smul_sub, smul_inv_smul₀ hb]
#align module.End.eigenspace_div Module.End.eigenspace_div
def genEigenspace (f : End R M) (μ : R) : ℕ →o Submodule R M where
toFun k := LinearMap.ker ((f - algebraMap R (End R M) μ) ^ k)
monotone' k m hm := by
simp only [← pow_sub_mul_pow _ hm]
exact
LinearMap.ker_le_ker_comp ((f - algebraMap R (End R M) μ) ^ k)
((f - algebraMap R (End R M) μ) ^ (m - k))
#align module.End.generalized_eigenspace Module.End.genEigenspace
@[simp]
theorem mem_genEigenspace (f : End R M) (μ : R) (k : ℕ) (m : M) :
m ∈ f.genEigenspace μ k ↔ ((f - μ • (1 : End R M)) ^ k) m = 0 := Iff.rfl
#align module.End.mem_generalized_eigenspace Module.End.mem_genEigenspace
@[simp]
theorem genEigenspace_zero (f : End R M) (k : ℕ) :
f.genEigenspace 0 k = LinearMap.ker (f ^ k) := by
simp [Module.End.genEigenspace]
#align module.End.generalized_eigenspace_zero Module.End.genEigenspace_zero
def HasGenEigenvector (f : End R M) (μ : R) (k : ℕ) (x : M) : Prop :=
x ≠ 0 ∧ x ∈ genEigenspace f μ k
#align module.End.has_generalized_eigenvector Module.End.HasGenEigenvector
def HasGenEigenvalue (f : End R M) (μ : R) (k : ℕ) : Prop :=
genEigenspace f μ k ≠ ⊥
#align module.End.has_generalized_eigenvalue Module.End.HasGenEigenvalue
def genEigenrange (f : End R M) (μ : R) (k : ℕ) : Submodule R M :=
LinearMap.range ((f - algebraMap R (End R M) μ) ^ k)
#align module.End.generalized_eigenrange Module.End.genEigenrange
theorem exp_ne_zero_of_hasGenEigenvalue {f : End R M} {μ : R} {k : ℕ}
(h : f.HasGenEigenvalue μ k) : k ≠ 0 := by
rintro rfl
exact h LinearMap.ker_id
#align module.End.exp_ne_zero_of_has_generalized_eigenvalue Module.End.exp_ne_zero_of_hasGenEigenvalue
def maxGenEigenspace (f : End R M) (μ : R) : Submodule R M :=
⨆ k, f.genEigenspace μ k
#align module.End.maximal_generalized_eigenspace Module.End.maxGenEigenspace
theorem genEigenspace_le_maximal (f : End R M) (μ : R) (k : ℕ) :
f.genEigenspace μ k ≤ f.maxGenEigenspace μ :=
le_iSup _ _
#align module.End.generalized_eigenspace_le_maximal Module.End.genEigenspace_le_maximal
@[simp]
theorem mem_maxGenEigenspace (f : End R M) (μ : R) (m : M) :
m ∈ f.maxGenEigenspace μ ↔ ∃ k : ℕ, ((f - μ • (1 : End R M)) ^ k) m = 0 := by
simp only [maxGenEigenspace, ← mem_genEigenspace, Submodule.mem_iSup_of_chain]
#align module.End.mem_maximal_generalized_eigenspace Module.End.mem_maxGenEigenspace
noncomputable def maxGenEigenspaceIndex (f : End R M) (μ : R) :=
monotonicSequenceLimitIndex (f.genEigenspace μ)
#align module.End.maximal_generalized_eigenspace_index Module.End.maxGenEigenspaceIndex
theorem maxGenEigenspace_eq [h : IsNoetherian R M] (f : End R M) (μ : R) :
maxGenEigenspace f μ =
f.genEigenspace μ (maxGenEigenspaceIndex f μ) := by
rw [isNoetherian_iff_wellFounded] at h
exact (WellFounded.iSup_eq_monotonicSequenceLimit h (f.genEigenspace μ) : _)
#align module.End.maximal_generalized_eigenspace_eq Module.End.maxGenEigenspace_eq
| Mathlib/LinearAlgebra/Eigenspace/Basic.lean | 248 | 254 | theorem hasGenEigenvalue_of_hasGenEigenvalue_of_le {f : End R M} {μ : R} {k : ℕ}
{m : ℕ} (hm : k ≤ m) (hk : f.HasGenEigenvalue μ k) :
f.HasGenEigenvalue μ m := by |
unfold HasGenEigenvalue at *
contrapose! hk
rw [← le_bot_iff, ← hk]
exact (f.genEigenspace μ).monotone hm
|
import Mathlib.CategoryTheory.Generator
import Mathlib.CategoryTheory.Limits.ConeCategory
import Mathlib.CategoryTheory.Limits.Constructions.WeaklyInitial
import Mathlib.CategoryTheory.Limits.FunctorCategory
import Mathlib.CategoryTheory.Subobject.Comma
#align_import category_theory.adjunction.adjoint_functor_theorems from "leanprover-community/mathlib"@"361aa777b4d262212c31d7c4a245ccb23645c156"
universe v u u'
namespace CategoryTheory
open Limits
variable {J : Type v}
variable {C : Type u} [Category.{v} C]
def SolutionSetCondition {D : Type u} [Category.{v} D] (G : D ⥤ C) : Prop :=
∀ A : C,
∃ (ι : Type v) (B : ι → D) (f : ∀ i : ι, A ⟶ G.obj (B i)),
∀ (X) (h : A ⟶ G.obj X), ∃ (i : ι) (g : B i ⟶ X), f i ≫ G.map g = h
#align category_theory.solution_set_condition CategoryTheory.SolutionSetCondition
section GeneralAdjointFunctorTheorem
variable {D : Type u} [Category.{v} D]
variable (G : D ⥤ C)
| Mathlib/CategoryTheory/Adjunction/AdjointFunctorTheorems.lean | 69 | 75 | theorem solutionSetCondition_of_isRightAdjoint [G.IsRightAdjoint] : SolutionSetCondition G := by |
intro A
refine
⟨PUnit, fun _ => G.leftAdjoint.obj A, fun _ => (Adjunction.ofIsRightAdjoint G).unit.app A, ?_⟩
intro B h
refine ⟨PUnit.unit, ((Adjunction.ofIsRightAdjoint G).homEquiv _ _).symm h, ?_⟩
rw [← Adjunction.homEquiv_unit, Equiv.apply_symm_apply]
|
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
#align orientation.area_form_le Orientation.areaForm_le
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
#align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal
theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y =
o.areaForm (φ.symm x) (φ.symm y) := by
have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by
ext i
fin_cases i <;> rfl
simp [areaForm_to_volumeForm, volumeForm_map, this]
#align orientation.area_form_map Orientation.areaForm_map
theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) :
o.areaForm (φ x) (φ y) = o.areaForm x y := by
convert o.areaForm_map φ (φ x) (φ y)
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
· simp
· simp
#align orientation.area_form_comp_linear_isometry_equiv Orientation.areaForm_comp_linearIsometryEquiv
irreducible_def rightAngleRotationAux₁ : E →ₗ[ℝ] E :=
let to_dual : E ≃ₗ[ℝ] E →ₗ[ℝ] ℝ :=
(InnerProductSpace.toDual ℝ E).toLinearEquiv ≪≫ₗ LinearMap.toContinuousLinearMap.symm
↑to_dual.symm ∘ₗ ω
#align orientation.right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁
@[simp]
theorem inner_rightAngleRotationAux₁_left (x y : E) : ⟪o.rightAngleRotationAux₁ x, y⟫ = ω x y := by
-- Porting note: split `simp only` for greater proof control
simp only [rightAngleRotationAux₁, LinearEquiv.trans_symm, LinearIsometryEquiv.toLinearEquiv_symm,
LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.trans_apply,
LinearIsometryEquiv.coe_toLinearEquiv]
rw [InnerProductSpace.toDual_symm_apply]
norm_cast
#align orientation.inner_right_angle_rotation_aux₁_left Orientation.inner_rightAngleRotationAux₁_left
@[simp]
theorem inner_rightAngleRotationAux₁_right (x y : E) :
⟪x, o.rightAngleRotationAux₁ y⟫ = -ω x y := by
rw [real_inner_comm]
simp [o.areaForm_swap y x]
#align orientation.inner_right_angle_rotation_aux₁_right Orientation.inner_rightAngleRotationAux₁_right
def rightAngleRotationAux₂ : E →ₗᵢ[ℝ] E :=
{ o.rightAngleRotationAux₁ with
norm_map' := fun x => by
dsimp
refine le_antisymm ?_ ?_
· cases' eq_or_lt_of_le (norm_nonneg (o.rightAngleRotationAux₁ x)) with h h
· rw [← h]
positivity
refine le_of_mul_le_mul_right ?_ h
rw [← real_inner_self_eq_norm_mul_norm, o.inner_rightAngleRotationAux₁_left]
exact o.areaForm_le x (o.rightAngleRotationAux₁ x)
· let K : Submodule ℝ E := ℝ ∙ x
have : Nontrivial Kᗮ := by
apply @FiniteDimensional.nontrivial_of_finrank_pos ℝ
have : finrank ℝ K ≤ Finset.card {x} := by
rw [← Set.toFinset_singleton]
exact finrank_span_le_card ({x} : Set E)
have : Finset.card {x} = 1 := Finset.card_singleton x
have : finrank ℝ K + finrank ℝ Kᗮ = finrank ℝ E := K.finrank_add_finrank_orthogonal
have : finrank ℝ E = 2 := Fact.out
linarith
obtain ⟨w, hw₀⟩ : ∃ w : Kᗮ, w ≠ 0 := exists_ne 0
have hw' : ⟪x, (w : E)⟫ = 0 := Submodule.mem_orthogonal_singleton_iff_inner_right.mp w.2
have hw : (w : E) ≠ 0 := fun h => hw₀ (Submodule.coe_eq_zero.mp h)
refine le_of_mul_le_mul_right ?_ (by rwa [norm_pos_iff] : 0 < ‖(w : E)‖)
rw [← o.abs_areaForm_of_orthogonal hw']
rw [← o.inner_rightAngleRotationAux₁_left x w]
exact abs_real_inner_le_norm (o.rightAngleRotationAux₁ x) w }
#align orientation.right_angle_rotation_aux₂ Orientation.rightAngleRotationAux₂
@[simp]
theorem rightAngleRotationAux₁_rightAngleRotationAux₁ (x : E) :
o.rightAngleRotationAux₁ (o.rightAngleRotationAux₁ x) = -x := by
apply ext_inner_left ℝ
intro y
have : ⟪o.rightAngleRotationAux₁ y, o.rightAngleRotationAux₁ x⟫ = ⟪y, x⟫ :=
LinearIsometry.inner_map_map o.rightAngleRotationAux₂ y x
rw [o.inner_rightAngleRotationAux₁_right, ← o.inner_rightAngleRotationAux₁_left, this,
inner_neg_right]
#align orientation.right_angle_rotation_aux₁_right_angle_rotation_aux₁ Orientation.rightAngleRotationAux₁_rightAngleRotationAux₁
irreducible_def rightAngleRotation : E ≃ₗᵢ[ℝ] E :=
LinearIsometryEquiv.ofLinearIsometry o.rightAngleRotationAux₂ (-o.rightAngleRotationAux₁)
(by ext; simp [rightAngleRotationAux₂]) (by ext; simp [rightAngleRotationAux₂])
#align orientation.right_angle_rotation Orientation.rightAngleRotation
local notation "J" => o.rightAngleRotation
@[simp]
theorem inner_rightAngleRotation_left (x y : E) : ⟪J x, y⟫ = ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_left x y
#align orientation.inner_right_angle_rotation_left Orientation.inner_rightAngleRotation_left
@[simp]
theorem inner_rightAngleRotation_right (x y : E) : ⟪x, J y⟫ = -ω x y := by
rw [rightAngleRotation]
exact o.inner_rightAngleRotationAux₁_right x y
#align orientation.inner_right_angle_rotation_right Orientation.inner_rightAngleRotation_right
@[simp]
theorem rightAngleRotation_rightAngleRotation (x : E) : J (J x) = -x := by
rw [rightAngleRotation]
exact o.rightAngleRotationAux₁_rightAngleRotationAux₁ x
#align orientation.right_angle_rotation_right_angle_rotation Orientation.rightAngleRotation_rightAngleRotation
@[simp]
theorem rightAngleRotation_symm :
LinearIsometryEquiv.symm J = LinearIsometryEquiv.trans J (LinearIsometryEquiv.neg ℝ) := by
rw [rightAngleRotation]
exact LinearIsometryEquiv.toLinearIsometry_injective rfl
#align orientation.right_angle_rotation_symm Orientation.rightAngleRotation_symm
-- @[simp] -- Porting note (#10618): simp already proves this
theorem inner_rightAngleRotation_self (x : E) : ⟪J x, x⟫ = 0 := by simp
#align orientation.inner_right_angle_rotation_self Orientation.inner_rightAngleRotation_self
theorem inner_rightAngleRotation_swap (x y : E) : ⟪x, J y⟫ = -⟪J x, y⟫ := by simp
#align orientation.inner_right_angle_rotation_swap Orientation.inner_rightAngleRotation_swap
theorem inner_rightAngleRotation_swap' (x y : E) : ⟪J x, y⟫ = -⟪x, J y⟫ := by
simp [o.inner_rightAngleRotation_swap x y]
#align orientation.inner_right_angle_rotation_swap' Orientation.inner_rightAngleRotation_swap'
theorem inner_comp_rightAngleRotation (x y : E) : ⟪J x, J y⟫ = ⟪x, y⟫ :=
LinearIsometryEquiv.inner_map_map J x y
#align orientation.inner_comp_right_angle_rotation Orientation.inner_comp_rightAngleRotation
@[simp]
theorem areaForm_rightAngleRotation_left (x y : E) : ω (J x) y = -⟪x, y⟫ := by
rw [← o.inner_comp_rightAngleRotation, o.inner_rightAngleRotation_right, neg_neg]
#align orientation.area_form_right_angle_rotation_left Orientation.areaForm_rightAngleRotation_left
@[simp]
theorem areaForm_rightAngleRotation_right (x y : E) : ω x (J y) = ⟪x, y⟫ := by
rw [← o.inner_rightAngleRotation_left, o.inner_comp_rightAngleRotation]
#align orientation.area_form_right_angle_rotation_right Orientation.areaForm_rightAngleRotation_right
-- @[simp] -- Porting note (#10618): simp already proves this
theorem areaForm_comp_rightAngleRotation (x y : E) : ω (J x) (J y) = ω x y := by simp
#align orientation.area_form_comp_right_angle_rotation Orientation.areaForm_comp_rightAngleRotation
@[simp]
theorem rightAngleRotation_trans_rightAngleRotation :
LinearIsometryEquiv.trans J J = LinearIsometryEquiv.neg ℝ := by ext; simp
#align orientation.right_angle_rotation_trans_right_angle_rotation Orientation.rightAngleRotation_trans_rightAngleRotation
theorem rightAngleRotation_neg_orientation (x : E) :
(-o).rightAngleRotation x = -o.rightAngleRotation x := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
simp
#align orientation.right_angle_rotation_neg_orientation Orientation.rightAngleRotation_neg_orientation
@[simp]
theorem rightAngleRotation_trans_neg_orientation :
(-o).rightAngleRotation = o.rightAngleRotation.trans (LinearIsometryEquiv.neg ℝ) :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_neg_orientation
#align orientation.right_angle_rotation_trans_neg_orientation Orientation.rightAngleRotation_trans_neg_orientation
theorem rightAngleRotation_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation x =
φ (o.rightAngleRotation (φ.symm x)) := by
apply ext_inner_right ℝ
intro y
rw [inner_rightAngleRotation_left]
trans ⟪J (φ.symm x), φ.symm y⟫
· simp [o.areaForm_map]
trans ⟪φ (J (φ.symm x)), φ (φ.symm y)⟫
· rw [φ.inner_map_map]
· simp
#align orientation.right_angle_rotation_map Orientation.rightAngleRotation_map
theorem linearIsometryEquiv_comp_rightAngleRotation (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x : E) : φ (J x) = J (φ x) := by
convert (o.rightAngleRotation_map φ (φ x)).symm
· simp
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
#align orientation.linear_isometry_equiv_comp_right_angle_rotation Orientation.linearIsometryEquiv_comp_rightAngleRotation
theorem rightAngleRotation_map' {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).rightAngleRotation =
(φ.symm.trans o.rightAngleRotation).trans φ :=
LinearIsometryEquiv.ext <| o.rightAngleRotation_map φ
#align orientation.right_angle_rotation_map' Orientation.rightAngleRotation_map'
theorem linearIsometryEquiv_comp_rightAngleRotation' (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) :
LinearIsometryEquiv.trans J φ = φ.trans J :=
LinearIsometryEquiv.ext <| o.linearIsometryEquiv_comp_rightAngleRotation φ hφ
#align orientation.linear_isometry_equiv_comp_right_angle_rotation' Orientation.linearIsometryEquiv_comp_rightAngleRotation'
def basisRightAngleRotation (x : E) (hx : x ≠ 0) : Basis (Fin 2) ℝ E :=
@basisOfLinearIndependentOfCardEqFinrank ℝ _ _ _ _ _ _ _ ![x, J x]
(linearIndependent_of_ne_zero_of_inner_eq_zero (fun i => by fin_cases i <;> simp [hx])
(by
intro i j hij
fin_cases i <;> fin_cases j <;> simp_all))
(@Fact.out (finrank ℝ E = 2)).symm
#align orientation.basis_right_angle_rotation Orientation.basisRightAngleRotation
@[simp]
theorem coe_basisRightAngleRotation (x : E) (hx : x ≠ 0) :
⇑(o.basisRightAngleRotation x hx) = ![x, J x] :=
coe_basisOfLinearIndependentOfCardEqFinrank _ _
#align orientation.coe_basis_right_angle_rotation Orientation.coe_basisRightAngleRotation
theorem inner_mul_inner_add_areaForm_mul_areaForm' (a x : E) :
⟪a, x⟫ • innerₛₗ ℝ a + ω a x • ω a = ‖a‖ ^ 2 • innerₛₗ ℝ x := by
by_cases ha : a = 0
· simp [ha]
apply (o.basisRightAngleRotation a ha).ext
intro i
fin_cases i
· simp only [Fin.mk_zero, coe_basisRightAngleRotation, Matrix.cons_val_zero, LinearMap.add_apply,
LinearMap.smul_apply, innerₛₗ_apply, real_inner_self_eq_norm_sq, smul_eq_mul,
areaForm_apply_self, mul_zero, add_zero, Real.rpow_two, real_inner_comm]
ring
· simp only [Fin.mk_one, coe_basisRightAngleRotation, Matrix.cons_val_one, Matrix.head_cons,
LinearMap.add_apply, LinearMap.smul_apply, innerₛₗ_apply, inner_rightAngleRotation_right,
areaForm_apply_self, neg_zero, smul_eq_mul, mul_zero, areaForm_rightAngleRotation_right,
real_inner_self_eq_norm_sq, zero_add, Real.rpow_two, mul_neg]
rw [o.areaForm_swap]
ring
#align orientation.inner_mul_inner_add_area_form_mul_area_form' Orientation.inner_mul_inner_add_areaForm_mul_areaForm'
theorem inner_mul_inner_add_areaForm_mul_areaForm (a x y : E) :
⟪a, x⟫ * ⟪a, y⟫ + ω a x * ω a y = ‖a‖ ^ 2 * ⟪x, y⟫ :=
congr_arg (fun f : E →ₗ[ℝ] ℝ => f y) (o.inner_mul_inner_add_areaForm_mul_areaForm' a x)
#align orientation.inner_mul_inner_add_area_form_mul_area_form Orientation.inner_mul_inner_add_areaForm_mul_areaForm
theorem inner_sq_add_areaForm_sq (a b : E) : ⟪a, b⟫ ^ 2 + ω a b ^ 2 = ‖a‖ ^ 2 * ‖b‖ ^ 2 := by
simpa [sq, real_inner_self_eq_norm_sq] using o.inner_mul_inner_add_areaForm_mul_areaForm a b b
#align orientation.inner_sq_add_area_form_sq Orientation.inner_sq_add_areaForm_sq
theorem inner_mul_areaForm_sub' (a x : E) : ⟪a, x⟫ • ω a - ω a x • innerₛₗ ℝ a = ‖a‖ ^ 2 • ω x := by
by_cases ha : a = 0
· simp [ha]
apply (o.basisRightAngleRotation a ha).ext
intro i
fin_cases i
· simp only [o.areaForm_swap a x, neg_smul, sub_neg_eq_add, Fin.mk_zero,
coe_basisRightAngleRotation, Matrix.cons_val_zero, LinearMap.add_apply, LinearMap.smul_apply,
areaForm_apply_self, smul_eq_mul, mul_zero, innerₛₗ_apply, real_inner_self_eq_norm_sq,
zero_add, Real.rpow_two]
ring
· simp only [Fin.mk_one, coe_basisRightAngleRotation, Matrix.cons_val_one, Matrix.head_cons,
LinearMap.sub_apply, LinearMap.smul_apply, areaForm_rightAngleRotation_right,
real_inner_self_eq_norm_sq, smul_eq_mul, innerₛₗ_apply, inner_rightAngleRotation_right,
areaForm_apply_self, neg_zero, mul_zero, sub_zero, Real.rpow_two, real_inner_comm]
ring
#align orientation.inner_mul_area_form_sub' Orientation.inner_mul_areaForm_sub'
theorem inner_mul_areaForm_sub (a x y : E) : ⟪a, x⟫ * ω a y - ω a x * ⟪a, y⟫ = ‖a‖ ^ 2 * ω x y :=
congr_arg (fun f : E →ₗ[ℝ] ℝ => f y) (o.inner_mul_areaForm_sub' a x)
#align orientation.inner_mul_area_form_sub Orientation.inner_mul_areaForm_sub
theorem nonneg_inner_and_areaForm_eq_zero_iff_sameRay (x y : E) :
0 ≤ ⟪x, y⟫ ∧ ω x y = 0 ↔ SameRay ℝ x y := by
by_cases hx : x = 0
· simp [hx]
constructor
· let a : ℝ := (o.basisRightAngleRotation x hx).repr y 0
let b : ℝ := (o.basisRightAngleRotation x hx).repr y 1
suffices ↑0 ≤ a * ‖x‖ ^ 2 ∧ b * ‖x‖ ^ 2 = 0 → SameRay ℝ x (a • x + b • J x) by
rw [← (o.basisRightAngleRotation x hx).sum_repr y]
simp only [Fin.sum_univ_succ, coe_basisRightAngleRotation, Matrix.cons_val_zero,
Fin.succ_zero_eq_one', Finset.univ_eq_empty, Finset.sum_empty, areaForm_apply_self,
map_smul, map_add, real_inner_smul_right, inner_add_right, Matrix.cons_val_one,
Matrix.head_cons, Algebra.id.smul_eq_mul, areaForm_rightAngleRotation_right,
mul_zero, add_zero, zero_add, neg_zero, inner_rightAngleRotation_right,
real_inner_self_eq_norm_sq, zero_smul, one_smul]
exact this
rintro ⟨ha, hb⟩
have hx' : 0 < ‖x‖ := by simpa using hx
have ha' : 0 ≤ a := nonneg_of_mul_nonneg_left ha (by positivity)
have hb' : b = 0 := eq_zero_of_ne_zero_of_mul_right_eq_zero (pow_ne_zero 2 hx'.ne') hb
exact (SameRay.sameRay_nonneg_smul_right x ha').add_right $ by simp [hb']
· intro h
obtain ⟨r, hr, rfl⟩ := h.exists_nonneg_left hx
simp only [inner_smul_right, real_inner_self_eq_norm_sq, LinearMap.map_smulₛₗ,
areaForm_apply_self, Algebra.id.smul_eq_mul, mul_zero, eq_self_iff_true,
and_true_iff]
positivity
#align orientation.nonneg_inner_and_area_form_eq_zero_iff_same_ray Orientation.nonneg_inner_and_areaForm_eq_zero_iff_sameRay
def kahler : E →ₗ[ℝ] E →ₗ[ℝ] ℂ :=
LinearMap.llcomp ℝ E ℝ ℂ Complex.ofRealCLM ∘ₗ innerₛₗ ℝ +
LinearMap.llcomp ℝ E ℝ ℂ ((LinearMap.lsmul ℝ ℂ).flip Complex.I) ∘ₗ ω
#align orientation.kahler Orientation.kahler
theorem kahler_apply_apply (x y : E) : o.kahler x y = ⟪x, y⟫ + ω x y • Complex.I :=
rfl
#align orientation.kahler_apply_apply Orientation.kahler_apply_apply
theorem kahler_swap (x y : E) : o.kahler x y = conj (o.kahler y x) := by
have : ∀ r : ℝ, Complex.ofReal' r = @RCLike.ofReal ℂ _ r := fun r => rfl
simp only [kahler_apply_apply]
rw [real_inner_comm, areaForm_swap]
simp [this]
#align orientation.kahler_swap Orientation.kahler_swap
@[simp]
theorem kahler_apply_self (x : E) : o.kahler x x = ‖x‖ ^ 2 := by
simp [kahler_apply_apply, real_inner_self_eq_norm_sq]
#align orientation.kahler_apply_self Orientation.kahler_apply_self
@[simp]
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 500 | 504 | theorem kahler_rightAngleRotation_left (x y : E) :
o.kahler (J x) y = -Complex.I * o.kahler x y := by |
simp only [o.areaForm_rightAngleRotation_left, o.inner_rightAngleRotation_left,
o.kahler_apply_apply, Complex.ofReal_neg, Complex.real_smul]
linear_combination ω x y * Complex.I_sq
|
import Mathlib.MeasureTheory.Group.Measure
assert_not_exists NormedSpace
namespace MeasureTheory
open Measure TopologicalSpace
open scoped ENNReal
variable {G : Type*} [MeasurableSpace G] {μ : Measure G} {g : G}
section MeasurableMul
variable [Group G] [MeasurableMul G]
@[to_additive
"Translating a function by left-addition does not change its Lebesgue integral with
respect to a left-invariant measure."]
theorem lintegral_mul_left_eq_self [IsMulLeftInvariant μ] (f : G → ℝ≥0∞) (g : G) :
(∫⁻ x, f (g * x) ∂μ) = ∫⁻ x, f x ∂μ := by
convert (lintegral_map_equiv f <| MeasurableEquiv.mulLeft g).symm
simp [map_mul_left_eq_self μ g]
#align measure_theory.lintegral_mul_left_eq_self MeasureTheory.lintegral_mul_left_eq_self
#align measure_theory.lintegral_add_left_eq_self MeasureTheory.lintegral_add_left_eq_self
@[to_additive
"Translating a function by right-addition does not change its Lebesgue integral with
respect to a right-invariant measure."]
theorem lintegral_mul_right_eq_self [IsMulRightInvariant μ] (f : G → ℝ≥0∞) (g : G) :
(∫⁻ x, f (x * g) ∂μ) = ∫⁻ x, f x ∂μ := by
convert (lintegral_map_equiv f <| MeasurableEquiv.mulRight g).symm using 1
simp [map_mul_right_eq_self μ g]
#align measure_theory.lintegral_mul_right_eq_self MeasureTheory.lintegral_mul_right_eq_self
#align measure_theory.lintegral_add_right_eq_self MeasureTheory.lintegral_add_right_eq_self
@[to_additive] -- Porting note: was `@[simp]`
| Mathlib/MeasureTheory/Group/LIntegral.lean | 54 | 56 | theorem lintegral_div_right_eq_self [IsMulRightInvariant μ] (f : G → ℝ≥0∞) (g : G) :
(∫⁻ x, f (x / g) ∂μ) = ∫⁻ x, f x ∂μ := by |
simp_rw [div_eq_mul_inv, lintegral_mul_right_eq_self f g⁻¹]
|
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"
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)
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
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)
-- 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 Pivot
variable {R} {r : ℕ} (M : Matrix (Sum (Fin r) Unit) (Sum (Fin r) Unit) 𝕜)
open Sum Unit Fin TransvectionStruct
def listTransvecCol : List (Matrix (Sum (Fin r) Unit) (Sum (Fin r) Unit) 𝕜) :=
List.ofFn fun i : Fin r =>
transvection (inl i) (inr unit) <| -M (inl i) (inr unit) / M (inr unit) (inr unit)
#align matrix.pivot.list_transvec_col Matrix.Pivot.listTransvecCol
def listTransvecRow : List (Matrix (Sum (Fin r) Unit) (Sum (Fin r) Unit) 𝕜) :=
List.ofFn fun i : Fin r =>
transvection (inr unit) (inl i) <| -M (inr unit) (inl i) / M (inr unit) (inr unit)
#align matrix.pivot.list_transvec_row Matrix.Pivot.listTransvecRow
theorem listTransvecCol_mul_last_row_drop (i : Sum (Fin r) Unit) {k : ℕ} (hk : k ≤ r) :
(((listTransvecCol M).drop k).prod * M) (inr unit) i = M (inr unit) i := by
-- Porting note: `apply` didn't work anymore, because of the implicit arguments
refine Nat.decreasingInduction' ?_ hk ?_
· intro n hn _ IH
have hn' : n < (listTransvecCol M).length := by simpa [listTransvecCol] using hn
rw [List.drop_eq_get_cons hn']
simpa [listTransvecCol, Matrix.mul_assoc]
· simp only [listTransvecCol, List.length_ofFn, le_refl, List.drop_eq_nil_of_le, List.prod_nil,
Matrix.one_mul]
#align matrix.pivot.list_transvec_col_mul_last_row_drop Matrix.Pivot.listTransvecCol_mul_last_row_drop
theorem listTransvecCol_mul_last_row (i : Sum (Fin r) Unit) :
((listTransvecCol M).prod * M) (inr unit) i = M (inr unit) i := by
simpa using listTransvecCol_mul_last_row_drop M i (zero_le _)
#align matrix.pivot.list_transvec_col_mul_last_row Matrix.Pivot.listTransvecCol_mul_last_row
theorem listTransvecCol_mul_last_col (hM : M (inr unit) (inr unit) ≠ 0) (i : Fin r) :
((listTransvecCol M).prod * M) (inl i) (inr unit) = 0 := by
suffices H :
∀ k : ℕ,
k ≤ r →
(((listTransvecCol M).drop k).prod * M) (inl i) (inr unit) =
if k ≤ i then 0 else M (inl i) (inr unit) by
simpa only [List.drop, _root_.zero_le, ite_true] using H 0 (zero_le _)
intro k hk
-- Porting note: `apply` didn't work anymore, because of the implicit arguments
refine Nat.decreasingInduction' ?_ hk ?_
· intro n hn hk IH
have hn' : n < (listTransvecCol M).length := by simpa [listTransvecCol] using hn
let n' : Fin r := ⟨n, hn⟩
rw [List.drop_eq_get_cons hn']
have A :
(listTransvecCol M).get ⟨n, hn'⟩ =
transvection (inl n') (inr unit) (-M (inl n') (inr unit) / M (inr unit) (inr unit)) := by
simp [listTransvecCol]
simp only [Matrix.mul_assoc, A, List.prod_cons]
by_cases h : n' = i
· have hni : n = i := by
cases i
simp only [n', Fin.mk_eq_mk] at h
simp [h]
simp only [h, transvection_mul_apply_same, IH, ← hni, add_le_iff_nonpos_right,
listTransvecCol_mul_last_row_drop _ _ hn]
field_simp [hM]
· have hni : n ≠ i := by
rintro rfl
cases i
simp at h
simp only [ne_eq, inl.injEq, Ne.symm h, not_false_eq_true, transvection_mul_apply_of_ne]
rw [IH]
rcases le_or_lt (n + 1) i with (hi | hi)
· simp only [hi, n.le_succ.trans hi, if_true]
· rw [if_neg, if_neg]
· simpa only [hni.symm, not_le, or_false_iff] using Nat.lt_succ_iff_lt_or_eq.1 hi
· simpa only [not_le] using hi
· simp only [listTransvecCol, List.length_ofFn, le_refl, List.drop_eq_nil_of_le, List.prod_nil,
Matrix.one_mul]
rw [if_neg]
simpa only [not_le] using i.2
#align matrix.pivot.list_transvec_col_mul_last_col Matrix.Pivot.listTransvecCol_mul_last_col
| Mathlib/LinearAlgebra/Matrix/Transvection.lean | 437 | 451 | theorem mul_listTransvecRow_last_col_take (i : Sum (Fin r) Unit) {k : ℕ} (hk : k ≤ r) :
(M * ((listTransvecRow M).take k).prod) i (inr unit) = M i (inr unit) := by |
induction' k with k IH
· simp only [Matrix.mul_one, List.take_zero, List.prod_nil, List.take, Matrix.mul_one]
· have hkr : k < r := hk
let k' : Fin r := ⟨k, hkr⟩
have :
(listTransvecRow M).get? k =
↑(transvection (inr Unit.unit) (inl k')
(-M (inr Unit.unit) (inl k') / M (inr Unit.unit) (inr Unit.unit))) := by
simp only [listTransvecRow, List.ofFnNthVal, hkr, dif_pos, List.get?_ofFn]
simp only [List.take_succ, ← Matrix.mul_assoc, this, List.prod_append, Matrix.mul_one,
List.prod_cons, List.prod_nil, Option.toList_some]
rw [mul_transvection_apply_of_ne, IH hkr.le]
simp only [Ne, not_false_iff]
|
import Mathlib.Topology.Maps
import Mathlib.Topology.NhdsSet
#align_import topology.constructions from "leanprover-community/mathlib"@"f7ebde7ee0d1505dfccac8644ae12371aa3c1c9f"
noncomputable section
open scoped Classical
open Topology TopologicalSpace Set Filter Function
universe u v
variable {X : Type u} {Y : Type v} {Z W ε ζ : Type*}
section Constructions
instance instTopologicalSpaceSubtype {p : X → Prop} [t : TopologicalSpace X] :
TopologicalSpace (Subtype p) :=
induced (↑) t
instance {r : X → X → Prop} [t : TopologicalSpace X] : TopologicalSpace (Quot r) :=
coinduced (Quot.mk r) t
instance instTopologicalSpaceQuotient {s : Setoid X} [t : TopologicalSpace X] :
TopologicalSpace (Quotient s) :=
coinduced Quotient.mk' t
instance instTopologicalSpaceProd [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] :
TopologicalSpace (X × Y) :=
induced Prod.fst t₁ ⊓ induced Prod.snd t₂
instance instTopologicalSpaceSum [t₁ : TopologicalSpace X] [t₂ : TopologicalSpace Y] :
TopologicalSpace (X ⊕ Y) :=
coinduced Sum.inl t₁ ⊔ coinduced Sum.inr t₂
instance instTopologicalSpaceSigma {ι : Type*} {X : ι → Type v} [t₂ : ∀ i, TopologicalSpace (X i)] :
TopologicalSpace (Sigma X) :=
⨆ i, coinduced (Sigma.mk i) (t₂ i)
instance Pi.topologicalSpace {ι : Type*} {Y : ι → Type v} [t₂ : (i : ι) → TopologicalSpace (Y i)] :
TopologicalSpace ((i : ι) → Y i) :=
⨅ i, induced (fun f => f i) (t₂ i)
#align Pi.topological_space Pi.topologicalSpace
instance ULift.topologicalSpace [t : TopologicalSpace X] : TopologicalSpace (ULift.{v, u} X) :=
t.induced ULift.down
#align ulift.topological_space ULift.topologicalSpace
section
variable [TopologicalSpace X]
open Additive Multiplicative
instance : TopologicalSpace (Additive X) := ‹TopologicalSpace X›
instance : TopologicalSpace (Multiplicative X) := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology (Additive X) := ‹DiscreteTopology X›
instance [DiscreteTopology X] : DiscreteTopology (Multiplicative X) := ‹DiscreteTopology X›
theorem continuous_ofMul : Continuous (ofMul : X → Additive X) := continuous_id
#align continuous_of_mul continuous_ofMul
theorem continuous_toMul : Continuous (toMul : Additive X → X) := continuous_id
#align continuous_to_mul continuous_toMul
theorem continuous_ofAdd : Continuous (ofAdd : X → Multiplicative X) := continuous_id
#align continuous_of_add continuous_ofAdd
theorem continuous_toAdd : Continuous (toAdd : Multiplicative X → X) := continuous_id
#align continuous_to_add continuous_toAdd
theorem isOpenMap_ofMul : IsOpenMap (ofMul : X → Additive X) := IsOpenMap.id
#align is_open_map_of_mul isOpenMap_ofMul
theorem isOpenMap_toMul : IsOpenMap (toMul : Additive X → X) := IsOpenMap.id
#align is_open_map_to_mul isOpenMap_toMul
theorem isOpenMap_ofAdd : IsOpenMap (ofAdd : X → Multiplicative X) := IsOpenMap.id
#align is_open_map_of_add isOpenMap_ofAdd
theorem isOpenMap_toAdd : IsOpenMap (toAdd : Multiplicative X → X) := IsOpenMap.id
#align is_open_map_to_add isOpenMap_toAdd
theorem isClosedMap_ofMul : IsClosedMap (ofMul : X → Additive X) := IsClosedMap.id
#align is_closed_map_of_mul isClosedMap_ofMul
theorem isClosedMap_toMul : IsClosedMap (toMul : Additive X → X) := IsClosedMap.id
#align is_closed_map_to_mul isClosedMap_toMul
theorem isClosedMap_ofAdd : IsClosedMap (ofAdd : X → Multiplicative X) := IsClosedMap.id
#align is_closed_map_of_add isClosedMap_ofAdd
theorem isClosedMap_toAdd : IsClosedMap (toAdd : Multiplicative X → X) := IsClosedMap.id
#align is_closed_map_to_add isClosedMap_toAdd
theorem nhds_ofMul (x : X) : 𝓝 (ofMul x) = map ofMul (𝓝 x) := rfl
#align nhds_of_mul nhds_ofMul
theorem nhds_ofAdd (x : X) : 𝓝 (ofAdd x) = map ofAdd (𝓝 x) := rfl
#align nhds_of_add nhds_ofAdd
theorem nhds_toMul (x : Additive X) : 𝓝 (toMul x) = map toMul (𝓝 x) := rfl
#align nhds_to_mul nhds_toMul
theorem nhds_toAdd (x : Multiplicative X) : 𝓝 (toAdd x) = map toAdd (𝓝 x) := rfl
#align nhds_to_add nhds_toAdd
end
section
variable [TopologicalSpace X]
open OrderDual
instance : TopologicalSpace Xᵒᵈ := ‹TopologicalSpace X›
instance [DiscreteTopology X] : DiscreteTopology Xᵒᵈ := ‹DiscreteTopology X›
theorem continuous_toDual : Continuous (toDual : X → Xᵒᵈ) := continuous_id
#align continuous_to_dual continuous_toDual
theorem continuous_ofDual : Continuous (ofDual : Xᵒᵈ → X) := continuous_id
#align continuous_of_dual continuous_ofDual
theorem isOpenMap_toDual : IsOpenMap (toDual : X → Xᵒᵈ) := IsOpenMap.id
#align is_open_map_to_dual isOpenMap_toDual
theorem isOpenMap_ofDual : IsOpenMap (ofDual : Xᵒᵈ → X) := IsOpenMap.id
#align is_open_map_of_dual isOpenMap_ofDual
theorem isClosedMap_toDual : IsClosedMap (toDual : X → Xᵒᵈ) := IsClosedMap.id
#align is_closed_map_to_dual isClosedMap_toDual
theorem isClosedMap_ofDual : IsClosedMap (ofDual : Xᵒᵈ → X) := IsClosedMap.id
#align is_closed_map_of_dual isClosedMap_ofDual
theorem nhds_toDual (x : X) : 𝓝 (toDual x) = map toDual (𝓝 x) := rfl
#align nhds_to_dual nhds_toDual
theorem nhds_ofDual (x : X) : 𝓝 (ofDual x) = map ofDual (𝓝 x) := rfl
#align nhds_of_dual nhds_ofDual
end
theorem Quotient.preimage_mem_nhds [TopologicalSpace X] [s : Setoid X] {V : Set <| Quotient s}
{x : X} (hs : V ∈ 𝓝 (Quotient.mk' x)) : Quotient.mk' ⁻¹' V ∈ 𝓝 x :=
preimage_nhds_coinduced hs
#align quotient.preimage_mem_nhds Quotient.preimage_mem_nhds
theorem Dense.quotient [Setoid X] [TopologicalSpace X] {s : Set X} (H : Dense s) :
Dense (Quotient.mk' '' s) :=
Quotient.surjective_Quotient_mk''.denseRange.dense_image continuous_coinduced_rng H
#align dense.quotient Dense.quotient
theorem DenseRange.quotient [Setoid X] [TopologicalSpace X] {f : Y → X} (hf : DenseRange f) :
DenseRange (Quotient.mk' ∘ f) :=
Quotient.surjective_Quotient_mk''.denseRange.comp hf continuous_coinduced_rng
#align dense_range.quotient DenseRange.quotient
theorem continuous_map_of_le {α : Type*} [TopologicalSpace α]
{s t : Setoid α} (h : s ≤ t) : Continuous (Setoid.map_of_le h) :=
continuous_coinduced_rng
theorem continuous_map_sInf {α : Type*} [TopologicalSpace α]
{S : Set (Setoid α)} {s : Setoid α} (h : s ∈ S) : Continuous (Setoid.map_sInf h) :=
continuous_coinduced_rng
instance {p : X → Prop} [TopologicalSpace X] [DiscreteTopology X] : DiscreteTopology (Subtype p) :=
⟨bot_unique fun s _ => ⟨(↑) '' s, isOpen_discrete _, preimage_image_eq _ Subtype.val_injective⟩⟩
instance Sum.discreteTopology [TopologicalSpace X] [TopologicalSpace Y] [h : DiscreteTopology X]
[hY : DiscreteTopology Y] : DiscreteTopology (X ⊕ Y) :=
⟨sup_eq_bot_iff.2 <| by simp [h.eq_bot, hY.eq_bot]⟩
#align sum.discrete_topology Sum.discreteTopology
instance Sigma.discreteTopology {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)]
[h : ∀ i, DiscreteTopology (Y i)] : DiscreteTopology (Sigma Y) :=
⟨iSup_eq_bot.2 fun _ => by simp only [(h _).eq_bot, coinduced_bot]⟩
#align sigma.discrete_topology Sigma.discreteTopology
def CofiniteTopology (X : Type*) := X
#align cofinite_topology CofiniteTopology
section Prod
variable [TopologicalSpace X] [TopologicalSpace Y] [TopologicalSpace Z] [TopologicalSpace W]
[TopologicalSpace ε] [TopologicalSpace ζ]
-- Porting note (#11215): TODO: Lean 4 fails to deduce implicit args
@[simp] theorem continuous_prod_mk {f : X → Y} {g : X → Z} :
(Continuous fun x => (f x, g x)) ↔ Continuous f ∧ Continuous g :=
(@continuous_inf_rng X (Y × Z) _ _ (TopologicalSpace.induced Prod.fst _)
(TopologicalSpace.induced Prod.snd _)).trans <|
continuous_induced_rng.and continuous_induced_rng
#align continuous_prod_mk continuous_prod_mk
@[continuity]
theorem continuous_fst : Continuous (@Prod.fst X Y) :=
(continuous_prod_mk.1 continuous_id).1
#align continuous_fst continuous_fst
@[fun_prop]
theorem Continuous.fst {f : X → Y × Z} (hf : Continuous f) : Continuous fun x : X => (f x).1 :=
continuous_fst.comp hf
#align continuous.fst Continuous.fst
theorem Continuous.fst' {f : X → Z} (hf : Continuous f) : Continuous fun x : X × Y => f x.fst :=
hf.comp continuous_fst
#align continuous.fst' Continuous.fst'
theorem continuousAt_fst {p : X × Y} : ContinuousAt Prod.fst p :=
continuous_fst.continuousAt
#align continuous_at_fst continuousAt_fst
@[fun_prop]
theorem ContinuousAt.fst {f : X → Y × Z} {x : X} (hf : ContinuousAt f x) :
ContinuousAt (fun x : X => (f x).1) x :=
continuousAt_fst.comp hf
#align continuous_at.fst ContinuousAt.fst
theorem ContinuousAt.fst' {f : X → Z} {x : X} {y : Y} (hf : ContinuousAt f x) :
ContinuousAt (fun x : X × Y => f x.fst) (x, y) :=
ContinuousAt.comp hf continuousAt_fst
#align continuous_at.fst' ContinuousAt.fst'
theorem ContinuousAt.fst'' {f : X → Z} {x : X × Y} (hf : ContinuousAt f x.fst) :
ContinuousAt (fun x : X × Y => f x.fst) x :=
hf.comp continuousAt_fst
#align continuous_at.fst'' ContinuousAt.fst''
theorem Filter.Tendsto.fst_nhds {l : Filter X} {f : X → Y × Z} {p : Y × Z}
(h : Tendsto f l (𝓝 p)) : Tendsto (fun a ↦ (f a).1) l (𝓝 <| p.1) :=
continuousAt_fst.tendsto.comp h
@[continuity]
theorem continuous_snd : Continuous (@Prod.snd X Y) :=
(continuous_prod_mk.1 continuous_id).2
#align continuous_snd continuous_snd
@[fun_prop]
theorem Continuous.snd {f : X → Y × Z} (hf : Continuous f) : Continuous fun x : X => (f x).2 :=
continuous_snd.comp hf
#align continuous.snd Continuous.snd
theorem Continuous.snd' {f : Y → Z} (hf : Continuous f) : Continuous fun x : X × Y => f x.snd :=
hf.comp continuous_snd
#align continuous.snd' Continuous.snd'
theorem continuousAt_snd {p : X × Y} : ContinuousAt Prod.snd p :=
continuous_snd.continuousAt
#align continuous_at_snd continuousAt_snd
@[fun_prop]
theorem ContinuousAt.snd {f : X → Y × Z} {x : X} (hf : ContinuousAt f x) :
ContinuousAt (fun x : X => (f x).2) x :=
continuousAt_snd.comp hf
#align continuous_at.snd ContinuousAt.snd
theorem ContinuousAt.snd' {f : Y → Z} {x : X} {y : Y} (hf : ContinuousAt f y) :
ContinuousAt (fun x : X × Y => f x.snd) (x, y) :=
ContinuousAt.comp hf continuousAt_snd
#align continuous_at.snd' ContinuousAt.snd'
theorem ContinuousAt.snd'' {f : Y → Z} {x : X × Y} (hf : ContinuousAt f x.snd) :
ContinuousAt (fun x : X × Y => f x.snd) x :=
hf.comp continuousAt_snd
#align continuous_at.snd'' ContinuousAt.snd''
theorem Filter.Tendsto.snd_nhds {l : Filter X} {f : X → Y × Z} {p : Y × Z}
(h : Tendsto f l (𝓝 p)) : Tendsto (fun a ↦ (f a).2) l (𝓝 <| p.2) :=
continuousAt_snd.tendsto.comp h
@[continuity, fun_prop]
theorem Continuous.prod_mk {f : Z → X} {g : Z → Y} (hf : Continuous f) (hg : Continuous g) :
Continuous fun x => (f x, g x) :=
continuous_prod_mk.2 ⟨hf, hg⟩
#align continuous.prod_mk Continuous.prod_mk
@[continuity]
theorem Continuous.Prod.mk (x : X) : Continuous fun y : Y => (x, y) :=
continuous_const.prod_mk continuous_id
#align continuous.prod.mk Continuous.Prod.mk
@[continuity]
theorem Continuous.Prod.mk_left (y : Y) : Continuous fun x : X => (x, y) :=
continuous_id.prod_mk continuous_const
#align continuous.prod.mk_left Continuous.Prod.mk_left
lemma IsClosed.setOf_mapsTo {α : Type*} {f : X → α → Z} {s : Set α} {t : Set Z} (ht : IsClosed t)
(hf : ∀ a ∈ s, Continuous (f · a)) : IsClosed {x | MapsTo (f x) s t} := by
simpa only [MapsTo, setOf_forall] using isClosed_biInter fun y hy ↦ ht.preimage (hf y hy)
theorem Continuous.comp₂ {g : X × Y → Z} (hg : Continuous g) {e : W → X} (he : Continuous e)
{f : W → Y} (hf : Continuous f) : Continuous fun w => g (e w, f w) :=
hg.comp <| he.prod_mk hf
#align continuous.comp₂ Continuous.comp₂
theorem Continuous.comp₃ {g : X × Y × Z → ε} (hg : Continuous g) {e : W → X} (he : Continuous e)
{f : W → Y} (hf : Continuous f) {k : W → Z} (hk : Continuous k) :
Continuous fun w => g (e w, f w, k w) :=
hg.comp₂ he <| hf.prod_mk hk
#align continuous.comp₃ Continuous.comp₃
theorem Continuous.comp₄ {g : X × Y × Z × ζ → ε} (hg : Continuous g) {e : W → X} (he : Continuous e)
{f : W → Y} (hf : Continuous f) {k : W → Z} (hk : Continuous k) {l : W → ζ}
(hl : Continuous l) : Continuous fun w => g (e w, f w, k w, l w) :=
hg.comp₃ he hf <| hk.prod_mk hl
#align continuous.comp₄ Continuous.comp₄
@[continuity]
theorem Continuous.prod_map {f : Z → X} {g : W → Y} (hf : Continuous f) (hg : Continuous g) :
Continuous fun p : Z × W => (f p.1, g p.2) :=
hf.fst'.prod_mk hg.snd'
#align continuous.prod_map Continuous.prod_map
theorem continuous_inf_dom_left₂ {X Y Z} {f : X → Y → Z} {ta1 ta2 : TopologicalSpace X}
{tb1 tb2 : TopologicalSpace Y} {tc1 : TopologicalSpace Z}
(h : by haveI := ta1; haveI := tb1; exact Continuous fun p : X × Y => f p.1 p.2) : by
haveI := ta1 ⊓ ta2; haveI := tb1 ⊓ tb2; exact Continuous fun p : X × Y => f p.1 p.2 := by
have ha := @continuous_inf_dom_left _ _ id ta1 ta2 ta1 (@continuous_id _ (id _))
have hb := @continuous_inf_dom_left _ _ id tb1 tb2 tb1 (@continuous_id _ (id _))
have h_continuous_id := @Continuous.prod_map _ _ _ _ ta1 tb1 (ta1 ⊓ ta2) (tb1 ⊓ tb2) _ _ ha hb
exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ h h_continuous_id
#align continuous_inf_dom_left₂ continuous_inf_dom_left₂
theorem continuous_inf_dom_right₂ {X Y Z} {f : X → Y → Z} {ta1 ta2 : TopologicalSpace X}
{tb1 tb2 : TopologicalSpace Y} {tc1 : TopologicalSpace Z}
(h : by haveI := ta2; haveI := tb2; exact Continuous fun p : X × Y => f p.1 p.2) : by
haveI := ta1 ⊓ ta2; haveI := tb1 ⊓ tb2; exact Continuous fun p : X × Y => f p.1 p.2 := by
have ha := @continuous_inf_dom_right _ _ id ta1 ta2 ta2 (@continuous_id _ (id _))
have hb := @continuous_inf_dom_right _ _ id tb1 tb2 tb2 (@continuous_id _ (id _))
have h_continuous_id := @Continuous.prod_map _ _ _ _ ta2 tb2 (ta1 ⊓ ta2) (tb1 ⊓ tb2) _ _ ha hb
exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ h h_continuous_id
#align continuous_inf_dom_right₂ continuous_inf_dom_right₂
theorem continuous_sInf_dom₂ {X Y Z} {f : X → Y → Z} {tas : Set (TopologicalSpace X)}
{tbs : Set (TopologicalSpace Y)} {tX : TopologicalSpace X} {tY : TopologicalSpace Y}
{tc : TopologicalSpace Z} (hX : tX ∈ tas) (hY : tY ∈ tbs)
(hf : Continuous fun p : X × Y => f p.1 p.2) : by
haveI := sInf tas; haveI := sInf tbs;
exact @Continuous _ _ _ tc fun p : X × Y => f p.1 p.2 := by
have hX := continuous_sInf_dom hX continuous_id
have hY := continuous_sInf_dom hY continuous_id
have h_continuous_id := @Continuous.prod_map _ _ _ _ tX tY (sInf tas) (sInf tbs) _ _ hX hY
exact @Continuous.comp _ _ _ (id _) (id _) _ _ _ hf h_continuous_id
#align continuous_Inf_dom₂ continuous_sInf_dom₂
theorem Filter.Eventually.prod_inl_nhds {p : X → Prop} {x : X} (h : ∀ᶠ x in 𝓝 x, p x) (y : Y) :
∀ᶠ x in 𝓝 (x, y), p (x : X × Y).1 :=
continuousAt_fst h
#align filter.eventually.prod_inl_nhds Filter.Eventually.prod_inl_nhds
theorem Filter.Eventually.prod_inr_nhds {p : Y → Prop} {y : Y} (h : ∀ᶠ x in 𝓝 y, p x) (x : X) :
∀ᶠ x in 𝓝 (x, y), p (x : X × Y).2 :=
continuousAt_snd h
#align filter.eventually.prod_inr_nhds Filter.Eventually.prod_inr_nhds
theorem Filter.Eventually.prod_mk_nhds {px : X → Prop} {x} (hx : ∀ᶠ x in 𝓝 x, px x) {py : Y → Prop}
{y} (hy : ∀ᶠ y in 𝓝 y, py y) : ∀ᶠ p in 𝓝 (x, y), px (p : X × Y).1 ∧ py p.2 :=
(hx.prod_inl_nhds y).and (hy.prod_inr_nhds x)
#align filter.eventually.prod_mk_nhds Filter.Eventually.prod_mk_nhds
theorem continuous_swap : Continuous (Prod.swap : X × Y → Y × X) :=
continuous_snd.prod_mk continuous_fst
#align continuous_swap continuous_swap
lemma isClosedMap_swap : IsClosedMap (Prod.swap : X × Y → Y × X) := fun s hs ↦ by
rw [image_swap_eq_preimage_swap]
exact hs.preimage continuous_swap
theorem Continuous.uncurry_left {f : X → Y → Z} (x : X) (h : Continuous (uncurry f)) :
Continuous (f x) :=
h.comp (Continuous.Prod.mk _)
#align continuous_uncurry_left Continuous.uncurry_left
theorem Continuous.uncurry_right {f : X → Y → Z} (y : Y) (h : Continuous (uncurry f)) :
Continuous fun a => f a y :=
h.comp (Continuous.Prod.mk_left _)
#align continuous_uncurry_right Continuous.uncurry_right
-- 2024-03-09
@[deprecated] alias continuous_uncurry_left := Continuous.uncurry_left
@[deprecated] alias continuous_uncurry_right := Continuous.uncurry_right
theorem continuous_curry {g : X × Y → Z} (x : X) (h : Continuous g) : Continuous (curry g x) :=
Continuous.uncurry_left x h
#align continuous_curry continuous_curry
theorem IsOpen.prod {s : Set X} {t : Set Y} (hs : IsOpen s) (ht : IsOpen t) : IsOpen (s ×ˢ t) :=
(hs.preimage continuous_fst).inter (ht.preimage continuous_snd)
#align is_open.prod IsOpen.prod
-- Porting note (#11215): TODO: Lean fails to find `t₁` and `t₂` by unification
theorem nhds_prod_eq {x : X} {y : Y} : 𝓝 (x, y) = 𝓝 x ×ˢ 𝓝 y := by
dsimp only [SProd.sprod]
rw [Filter.prod, instTopologicalSpaceProd, nhds_inf (t₁ := TopologicalSpace.induced Prod.fst _)
(t₂ := TopologicalSpace.induced Prod.snd _), nhds_induced, nhds_induced]
#align nhds_prod_eq nhds_prod_eq
-- Porting note: moved from `Topology.ContinuousOn`
theorem nhdsWithin_prod_eq (x : X) (y : Y) (s : Set X) (t : Set Y) :
𝓝[s ×ˢ t] (x, y) = 𝓝[s] x ×ˢ 𝓝[t] y := by
simp only [nhdsWithin, nhds_prod_eq, ← prod_inf_prod, prod_principal_principal]
#align nhds_within_prod_eq nhdsWithin_prod_eq
#noalign continuous_uncurry_of_discrete_topology
theorem mem_nhds_prod_iff {x : X} {y : Y} {s : Set (X × Y)} :
s ∈ 𝓝 (x, y) ↔ ∃ u ∈ 𝓝 x, ∃ v ∈ 𝓝 y, u ×ˢ v ⊆ s := by rw [nhds_prod_eq, mem_prod_iff]
#align mem_nhds_prod_iff mem_nhds_prod_iff
theorem mem_nhdsWithin_prod_iff {x : X} {y : Y} {s : Set (X × Y)} {tx : Set X} {ty : Set Y} :
s ∈ 𝓝[tx ×ˢ ty] (x, y) ↔ ∃ u ∈ 𝓝[tx] x, ∃ v ∈ 𝓝[ty] y, u ×ˢ v ⊆ s := by
rw [nhdsWithin_prod_eq, mem_prod_iff]
-- Porting note: moved up
theorem Filter.HasBasis.prod_nhds {ιX ιY : Type*} {px : ιX → Prop} {py : ιY → Prop}
{sx : ιX → Set X} {sy : ιY → Set Y} {x : X} {y : Y} (hx : (𝓝 x).HasBasis px sx)
(hy : (𝓝 y).HasBasis py sy) :
(𝓝 (x, y)).HasBasis (fun i : ιX × ιY => px i.1 ∧ py i.2) fun i => sx i.1 ×ˢ sy i.2 := by
rw [nhds_prod_eq]
exact hx.prod hy
#align filter.has_basis.prod_nhds Filter.HasBasis.prod_nhds
-- Porting note: moved up
theorem Filter.HasBasis.prod_nhds' {ιX ιY : Type*} {pX : ιX → Prop} {pY : ιY → Prop}
{sx : ιX → Set X} {sy : ιY → Set Y} {p : X × Y} (hx : (𝓝 p.1).HasBasis pX sx)
(hy : (𝓝 p.2).HasBasis pY sy) :
(𝓝 p).HasBasis (fun i : ιX × ιY => pX i.1 ∧ pY i.2) fun i => sx i.1 ×ˢ sy i.2 :=
hx.prod_nhds hy
#align filter.has_basis.prod_nhds' Filter.HasBasis.prod_nhds'
theorem mem_nhds_prod_iff' {x : X} {y : Y} {s : Set (X × Y)} :
s ∈ 𝓝 (x, y) ↔ ∃ u v, IsOpen u ∧ x ∈ u ∧ IsOpen v ∧ y ∈ v ∧ u ×ˢ v ⊆ s :=
((nhds_basis_opens x).prod_nhds (nhds_basis_opens y)).mem_iff.trans <| by
simp only [Prod.exists, and_comm, and_assoc, and_left_comm]
#align mem_nhds_prod_iff' mem_nhds_prod_iff'
theorem Prod.tendsto_iff {X} (seq : X → Y × Z) {f : Filter X} (p : Y × Z) :
Tendsto seq f (𝓝 p) ↔
Tendsto (fun n => (seq n).fst) f (𝓝 p.fst) ∧ Tendsto (fun n => (seq n).snd) f (𝓝 p.snd) := by
rw [nhds_prod_eq, Filter.tendsto_prod_iff']
#align prod.tendsto_iff Prod.tendsto_iff
instance [DiscreteTopology X] [DiscreteTopology Y] : DiscreteTopology (X × Y) :=
discreteTopology_iff_nhds.2 fun (a, b) => by
rw [nhds_prod_eq, nhds_discrete X, nhds_discrete Y, prod_pure_pure]
theorem prod_mem_nhds_iff {s : Set X} {t : Set Y} {x : X} {y : Y} :
s ×ˢ t ∈ 𝓝 (x, y) ↔ s ∈ 𝓝 x ∧ t ∈ 𝓝 y := by rw [nhds_prod_eq, prod_mem_prod_iff]
#align prod_mem_nhds_iff prod_mem_nhds_iff
theorem prod_mem_nhds {s : Set X} {t : Set Y} {x : X} {y : Y} (hx : s ∈ 𝓝 x) (hy : t ∈ 𝓝 y) :
s ×ˢ t ∈ 𝓝 (x, y) :=
prod_mem_nhds_iff.2 ⟨hx, hy⟩
#align prod_mem_nhds prod_mem_nhds
theorem isOpen_setOf_disjoint_nhds_nhds : IsOpen { p : X × X | Disjoint (𝓝 p.1) (𝓝 p.2) } := by
simp only [isOpen_iff_mem_nhds, Prod.forall, mem_setOf_eq]
intro x y h
obtain ⟨U, hU, V, hV, hd⟩ := ((nhds_basis_opens x).disjoint_iff (nhds_basis_opens y)).mp h
exact mem_nhds_prod_iff'.mpr ⟨U, V, hU.2, hU.1, hV.2, hV.1, fun ⟨x', y'⟩ ⟨hx', hy'⟩ =>
disjoint_of_disjoint_of_mem hd (hU.2.mem_nhds hx') (hV.2.mem_nhds hy')⟩
#align is_open_set_of_disjoint_nhds_nhds isOpen_setOf_disjoint_nhds_nhds
theorem Filter.Eventually.prod_nhds {p : X → Prop} {q : Y → Prop} {x : X} {y : Y}
(hx : ∀ᶠ x in 𝓝 x, p x) (hy : ∀ᶠ y in 𝓝 y, q y) : ∀ᶠ z : X × Y in 𝓝 (x, y), p z.1 ∧ q z.2 :=
prod_mem_nhds hx hy
#align filter.eventually.prod_nhds Filter.Eventually.prod_nhds
theorem nhds_swap (x : X) (y : Y) : 𝓝 (x, y) = (𝓝 (y, x)).map Prod.swap := by
rw [nhds_prod_eq, Filter.prod_comm, nhds_prod_eq]; rfl
#align nhds_swap nhds_swap
theorem Filter.Tendsto.prod_mk_nhds {γ} {x : X} {y : Y} {f : Filter γ} {mx : γ → X} {my : γ → Y}
(hx : Tendsto mx f (𝓝 x)) (hy : Tendsto my f (𝓝 y)) :
Tendsto (fun c => (mx c, my c)) f (𝓝 (x, y)) := by
rw [nhds_prod_eq]; exact Filter.Tendsto.prod_mk hx hy
#align filter.tendsto.prod_mk_nhds Filter.Tendsto.prod_mk_nhds
theorem Filter.Eventually.curry_nhds {p : X × Y → Prop} {x : X} {y : Y}
(h : ∀ᶠ x in 𝓝 (x, y), p x) : ∀ᶠ x' in 𝓝 x, ∀ᶠ y' in 𝓝 y, p (x', y') := by
rw [nhds_prod_eq] at h
exact h.curry
#align filter.eventually.curry_nhds Filter.Eventually.curry_nhds
@[fun_prop]
theorem ContinuousAt.prod {f : X → Y} {g : X → Z} {x : X} (hf : ContinuousAt f x)
(hg : ContinuousAt g x) : ContinuousAt (fun x => (f x, g x)) x :=
hf.prod_mk_nhds hg
#align continuous_at.prod ContinuousAt.prod
theorem ContinuousAt.prod_map {f : X → Z} {g : Y → W} {p : X × Y} (hf : ContinuousAt f p.fst)
(hg : ContinuousAt g p.snd) : ContinuousAt (fun p : X × Y => (f p.1, g p.2)) p :=
hf.fst''.prod hg.snd''
#align continuous_at.prod_map ContinuousAt.prod_map
theorem ContinuousAt.prod_map' {f : X → Z} {g : Y → W} {x : X} {y : Y} (hf : ContinuousAt f x)
(hg : ContinuousAt g y) : ContinuousAt (fun p : X × Y => (f p.1, g p.2)) (x, y) :=
hf.fst'.prod hg.snd'
#align continuous_at.prod_map' ContinuousAt.prod_map'
theorem ContinuousAt.comp₂ {f : Y × Z → W} {g : X → Y} {h : X → Z} {x : X}
(hf : ContinuousAt f (g x, h x)) (hg : ContinuousAt g x) (hh : ContinuousAt h x) :
ContinuousAt (fun x ↦ f (g x, h x)) x :=
ContinuousAt.comp hf (hg.prod hh)
theorem ContinuousAt.comp₂_of_eq {f : Y × Z → W} {g : X → Y} {h : X → Z} {x : X} {y : Y × Z}
(hf : ContinuousAt f y) (hg : ContinuousAt g x) (hh : ContinuousAt h x) (e : (g x, h x) = y) :
ContinuousAt (fun x ↦ f (g x, h x)) x := by
rw [← e] at hf
exact hf.comp₂ hg hh
theorem Continuous.curry_left {f : X × Y → Z} (hf : Continuous f) {y : Y} :
Continuous fun x ↦ f (x, y) :=
hf.comp (continuous_id.prod_mk continuous_const)
alias Continuous.along_fst := Continuous.curry_left
theorem Continuous.curry_right {f : X × Y → Z} (hf : Continuous f) {x : X} :
Continuous fun y ↦ f (x, y) :=
hf.comp (continuous_const.prod_mk continuous_id)
alias Continuous.along_snd := Continuous.curry_right
-- todo: prove a version of `generateFrom_union` with `image2 (∩) s t` in the LHS and use it here
theorem prod_generateFrom_generateFrom_eq {X Y : Type*} {s : Set (Set X)} {t : Set (Set Y)}
(hs : ⋃₀ s = univ) (ht : ⋃₀ t = univ) :
@instTopologicalSpaceProd X Y (generateFrom s) (generateFrom t) =
generateFrom (image2 (· ×ˢ ·) s t) :=
let G := generateFrom (image2 (· ×ˢ ·) s t)
le_antisymm
(le_generateFrom fun g ⟨u, hu, v, hv, g_eq⟩ =>
g_eq.symm ▸
@IsOpen.prod _ _ (generateFrom s) (generateFrom t) _ _ (GenerateOpen.basic _ hu)
(GenerateOpen.basic _ hv))
(le_inf
(coinduced_le_iff_le_induced.mp <|
le_generateFrom fun u hu =>
have : ⋃ v ∈ t, u ×ˢ v = Prod.fst ⁻¹' u := by
simp_rw [← prod_iUnion, ← sUnion_eq_biUnion, ht, prod_univ]
show G.IsOpen (Prod.fst ⁻¹' u) by
rw [← this]
exact
isOpen_iUnion fun v =>
isOpen_iUnion fun hv => GenerateOpen.basic _ ⟨_, hu, _, hv, rfl⟩)
(coinduced_le_iff_le_induced.mp <|
le_generateFrom fun v hv =>
have : ⋃ u ∈ s, u ×ˢ v = Prod.snd ⁻¹' v := by
simp_rw [← iUnion_prod_const, ← sUnion_eq_biUnion, hs, univ_prod]
show G.IsOpen (Prod.snd ⁻¹' v) by
rw [← this]
exact
isOpen_iUnion fun u =>
isOpen_iUnion fun hu => GenerateOpen.basic _ ⟨_, hu, _, hv, rfl⟩))
#align prod_generate_from_generate_from_eq prod_generateFrom_generateFrom_eq
-- todo: use the previous lemma?
theorem prod_eq_generateFrom :
instTopologicalSpaceProd =
generateFrom { g | ∃ (s : Set X) (t : Set Y), IsOpen s ∧ IsOpen t ∧ g = s ×ˢ t } :=
le_antisymm (le_generateFrom fun g ⟨s, t, hs, ht, g_eq⟩ => g_eq.symm ▸ hs.prod ht)
(le_inf
(forall_mem_image.2 fun t ht =>
GenerateOpen.basic _ ⟨t, univ, by simpa [Set.prod_eq] using ht⟩)
(forall_mem_image.2 fun t ht =>
GenerateOpen.basic _ ⟨univ, t, by simpa [Set.prod_eq] using ht⟩))
#align prod_eq_generate_from prod_eq_generateFrom
-- Porting note (#11215): TODO: align with `mem_nhds_prod_iff'`
theorem isOpen_prod_iff {s : Set (X × Y)} :
IsOpen s ↔ ∀ a b, (a, b) ∈ s →
∃ u v, IsOpen u ∧ IsOpen v ∧ a ∈ u ∧ b ∈ v ∧ u ×ˢ v ⊆ s :=
isOpen_iff_mem_nhds.trans <| by simp_rw [Prod.forall, mem_nhds_prod_iff', and_left_comm]
#align is_open_prod_iff isOpen_prod_iff
theorem prod_induced_induced (f : X → Y) (g : Z → W) :
@instTopologicalSpaceProd X Z (induced f ‹_›) (induced g ‹_›) =
induced (fun p => (f p.1, g p.2)) instTopologicalSpaceProd := by
delta instTopologicalSpaceProd
simp_rw [induced_inf, induced_compose]
rfl
#align prod_induced_induced prod_induced_induced
#noalign continuous_uncurry_of_discrete_topology_left
theorem exists_nhds_square {s : Set (X × X)} {x : X} (hx : s ∈ 𝓝 (x, x)) :
∃ U : Set X, IsOpen U ∧ x ∈ U ∧ U ×ˢ U ⊆ s := by
simpa [nhds_prod_eq, (nhds_basis_opens x).prod_self.mem_iff, and_assoc, and_left_comm] using hx
#align exists_nhds_square exists_nhds_square
theorem map_fst_nhdsWithin (x : X × Y) : map Prod.fst (𝓝[Prod.snd ⁻¹' {x.2}] x) = 𝓝 x.1 := by
refine le_antisymm (continuousAt_fst.mono_left inf_le_left) fun s hs => ?_
rcases x with ⟨x, y⟩
rw [mem_map, nhdsWithin, mem_inf_principal, mem_nhds_prod_iff] at hs
rcases hs with ⟨u, hu, v, hv, H⟩
simp only [prod_subset_iff, mem_singleton_iff, mem_setOf_eq, mem_preimage] at H
exact mem_of_superset hu fun z hz => H _ hz _ (mem_of_mem_nhds hv) rfl
#align map_fst_nhds_within map_fst_nhdsWithin
@[simp]
theorem map_fst_nhds (x : X × Y) : map Prod.fst (𝓝 x) = 𝓝 x.1 :=
le_antisymm continuousAt_fst <| (map_fst_nhdsWithin x).symm.trans_le (map_mono inf_le_left)
#align map_fst_nhds map_fst_nhds
theorem isOpenMap_fst : IsOpenMap (@Prod.fst X Y) :=
isOpenMap_iff_nhds_le.2 fun x => (map_fst_nhds x).ge
#align is_open_map_fst isOpenMap_fst
theorem map_snd_nhdsWithin (x : X × Y) : map Prod.snd (𝓝[Prod.fst ⁻¹' {x.1}] x) = 𝓝 x.2 := by
refine le_antisymm (continuousAt_snd.mono_left inf_le_left) fun s hs => ?_
rcases x with ⟨x, y⟩
rw [mem_map, nhdsWithin, mem_inf_principal, mem_nhds_prod_iff] at hs
rcases hs with ⟨u, hu, v, hv, H⟩
simp only [prod_subset_iff, mem_singleton_iff, mem_setOf_eq, mem_preimage] at H
exact mem_of_superset hv fun z hz => H _ (mem_of_mem_nhds hu) _ hz rfl
#align map_snd_nhds_within map_snd_nhdsWithin
@[simp]
theorem map_snd_nhds (x : X × Y) : map Prod.snd (𝓝 x) = 𝓝 x.2 :=
le_antisymm continuousAt_snd <| (map_snd_nhdsWithin x).symm.trans_le (map_mono inf_le_left)
#align map_snd_nhds map_snd_nhds
theorem isOpenMap_snd : IsOpenMap (@Prod.snd X Y) :=
isOpenMap_iff_nhds_le.2 fun x => (map_snd_nhds x).ge
#align is_open_map_snd isOpenMap_snd
theorem isOpen_prod_iff' {s : Set X} {t : Set Y} :
IsOpen (s ×ˢ t) ↔ IsOpen s ∧ IsOpen t ∨ s = ∅ ∨ t = ∅ := by
rcases (s ×ˢ t).eq_empty_or_nonempty with h | h
· simp [h, prod_eq_empty_iff.1 h]
· have st : s.Nonempty ∧ t.Nonempty := prod_nonempty_iff.1 h
constructor
· intro (H : IsOpen (s ×ˢ t))
refine Or.inl ⟨?_, ?_⟩
· show IsOpen s
rw [← fst_image_prod s st.2]
exact isOpenMap_fst _ H
· show IsOpen t
rw [← snd_image_prod st.1 t]
exact isOpenMap_snd _ H
· intro H
simp only [st.1.ne_empty, st.2.ne_empty, not_false_iff, or_false_iff] at H
exact H.1.prod H.2
#align is_open_prod_iff' isOpen_prod_iff'
theorem closure_prod_eq {s : Set X} {t : Set Y} : closure (s ×ˢ t) = closure s ×ˢ closure t :=
ext fun ⟨a, b⟩ => by
simp_rw [mem_prod, mem_closure_iff_nhdsWithin_neBot, nhdsWithin_prod_eq, prod_neBot]
#align closure_prod_eq closure_prod_eq
theorem interior_prod_eq (s : Set X) (t : Set Y) : interior (s ×ˢ t) = interior s ×ˢ interior t :=
ext fun ⟨a, b⟩ => by simp only [mem_interior_iff_mem_nhds, mem_prod, prod_mem_nhds_iff]
#align interior_prod_eq interior_prod_eq
theorem frontier_prod_eq (s : Set X) (t : Set Y) :
frontier (s ×ˢ t) = closure s ×ˢ frontier t ∪ frontier s ×ˢ closure t := by
simp only [frontier, closure_prod_eq, interior_prod_eq, prod_diff_prod]
#align frontier_prod_eq frontier_prod_eq
@[simp]
theorem frontier_prod_univ_eq (s : Set X) :
frontier (s ×ˢ (univ : Set Y)) = frontier s ×ˢ univ := by
simp [frontier_prod_eq]
#align frontier_prod_univ_eq frontier_prod_univ_eq
@[simp]
| Mathlib/Topology/Constructions.lean | 834 | 836 | theorem frontier_univ_prod_eq (s : Set Y) :
frontier ((univ : Set X) ×ˢ s) = univ ×ˢ frontier s := by |
simp [frontier_prod_eq]
|
import Mathlib.Data.Set.Image
import Mathlib.Data.SProd
#align_import data.set.prod from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
open Function
namespace Set
section Prod
variable {α β γ δ : Type*} {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {a : α} {b : β}
theorem Subsingleton.prod (hs : s.Subsingleton) (ht : t.Subsingleton) :
(s ×ˢ t).Subsingleton := fun _x hx _y hy ↦
Prod.ext (hs hx.1 hy.1) (ht hx.2 hy.2)
noncomputable instance decidableMemProd [DecidablePred (· ∈ s)] [DecidablePred (· ∈ t)] :
DecidablePred (· ∈ s ×ˢ t) := fun _ => And.decidable
#align set.decidable_mem_prod Set.decidableMemProd
@[gcongr]
theorem prod_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : s₁ ×ˢ t₁ ⊆ s₂ ×ˢ t₂ :=
fun _ ⟨h₁, h₂⟩ => ⟨hs h₁, ht h₂⟩
#align set.prod_mono Set.prod_mono
@[gcongr]
theorem prod_mono_left (hs : s₁ ⊆ s₂) : s₁ ×ˢ t ⊆ s₂ ×ˢ t :=
prod_mono hs Subset.rfl
#align set.prod_mono_left Set.prod_mono_left
@[gcongr]
theorem prod_mono_right (ht : t₁ ⊆ t₂) : s ×ˢ t₁ ⊆ s ×ˢ t₂ :=
prod_mono Subset.rfl ht
#align set.prod_mono_right Set.prod_mono_right
@[simp]
theorem prod_self_subset_prod_self : s₁ ×ˢ s₁ ⊆ s₂ ×ˢ s₂ ↔ s₁ ⊆ s₂ :=
⟨fun h _ hx => (h (mk_mem_prod hx hx)).1, fun h _ hx => ⟨h hx.1, h hx.2⟩⟩
#align set.prod_self_subset_prod_self Set.prod_self_subset_prod_self
@[simp]
theorem prod_self_ssubset_prod_self : s₁ ×ˢ s₁ ⊂ s₂ ×ˢ s₂ ↔ s₁ ⊂ s₂ :=
and_congr prod_self_subset_prod_self <| not_congr prod_self_subset_prod_self
#align set.prod_self_ssubset_prod_self Set.prod_self_ssubset_prod_self
theorem prod_subset_iff {P : Set (α × β)} : s ×ˢ t ⊆ P ↔ ∀ x ∈ s, ∀ y ∈ t, (x, y) ∈ P :=
⟨fun h _ hx _ hy => h (mk_mem_prod hx hy), fun h ⟨_, _⟩ hp => h _ hp.1 _ hp.2⟩
#align set.prod_subset_iff Set.prod_subset_iff
theorem forall_prod_set {p : α × β → Prop} : (∀ x ∈ s ×ˢ t, p x) ↔ ∀ x ∈ s, ∀ y ∈ t, p (x, y) :=
prod_subset_iff
#align set.forall_prod_set Set.forall_prod_set
theorem exists_prod_set {p : α × β → Prop} : (∃ x ∈ s ×ˢ t, p x) ↔ ∃ x ∈ s, ∃ y ∈ t, p (x, y) := by
simp [and_assoc]
#align set.exists_prod_set Set.exists_prod_set
@[simp]
theorem prod_empty : s ×ˢ (∅ : Set β) = ∅ := by
ext
exact and_false_iff _
#align set.prod_empty Set.prod_empty
@[simp]
theorem empty_prod : (∅ : Set α) ×ˢ t = ∅ := by
ext
exact false_and_iff _
#align set.empty_prod Set.empty_prod
@[simp, mfld_simps]
theorem univ_prod_univ : @univ α ×ˢ @univ β = univ := by
ext
exact true_and_iff _
#align set.univ_prod_univ Set.univ_prod_univ
theorem univ_prod {t : Set β} : (univ : Set α) ×ˢ t = Prod.snd ⁻¹' t := by simp [prod_eq]
#align set.univ_prod Set.univ_prod
theorem prod_univ {s : Set α} : s ×ˢ (univ : Set β) = Prod.fst ⁻¹' s := by simp [prod_eq]
#align set.prod_univ Set.prod_univ
@[simp] lemma prod_eq_univ [Nonempty α] [Nonempty β] : s ×ˢ t = univ ↔ s = univ ∧ t = univ := by
simp [eq_univ_iff_forall, forall_and]
@[simp]
theorem singleton_prod : ({a} : Set α) ×ˢ t = Prod.mk a '' t := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align set.singleton_prod Set.singleton_prod
@[simp]
theorem prod_singleton : s ×ˢ ({b} : Set β) = (fun a => (a, b)) '' s := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align set.prod_singleton Set.prod_singleton
theorem singleton_prod_singleton : ({a} : Set α) ×ˢ ({b} : Set β) = {(a, b)} := by simp
#align set.singleton_prod_singleton Set.singleton_prod_singleton
@[simp]
theorem union_prod : (s₁ ∪ s₂) ×ˢ t = s₁ ×ˢ t ∪ s₂ ×ˢ t := by
ext ⟨x, y⟩
simp [or_and_right]
#align set.union_prod Set.union_prod
@[simp]
theorem prod_union : s ×ˢ (t₁ ∪ t₂) = s ×ˢ t₁ ∪ s ×ˢ t₂ := by
ext ⟨x, y⟩
simp [and_or_left]
#align set.prod_union Set.prod_union
theorem inter_prod : (s₁ ∩ s₂) ×ˢ t = s₁ ×ˢ t ∩ s₂ ×ˢ t := by
ext ⟨x, y⟩
simp only [← and_and_right, mem_inter_iff, mem_prod]
#align set.inter_prod Set.inter_prod
theorem prod_inter : s ×ˢ (t₁ ∩ t₂) = s ×ˢ t₁ ∩ s ×ˢ t₂ := by
ext ⟨x, y⟩
simp only [← and_and_left, mem_inter_iff, mem_prod]
#align set.prod_inter Set.prod_inter
@[mfld_simps]
| Mathlib/Data/Set/Prod.lean | 148 | 150 | theorem prod_inter_prod : s₁ ×ˢ t₁ ∩ s₂ ×ˢ t₂ = (s₁ ∩ s₂) ×ˢ (t₁ ∩ t₂) := by |
ext ⟨x, y⟩
simp [and_assoc, and_left_comm]
|
import Mathlib.Order.Ideal
import Mathlib.Data.Finset.Lattice
#align_import order.countable_dense_linear_order from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9"
noncomputable section
open scoped Classical
namespace Order
theorem exists_between_finsets {α : Type*} [LinearOrder α] [DenselyOrdered α] [NoMinOrder α]
[NoMaxOrder α] [nonem : Nonempty α] (lo hi : Finset α) (lo_lt_hi : ∀ x ∈ lo, ∀ y ∈ hi, x < y) :
∃ m : α, (∀ x ∈ lo, x < m) ∧ ∀ y ∈ hi, m < y :=
if nlo : lo.Nonempty then
if nhi : hi.Nonempty then
-- both sets are nonempty, use `DenselyOrdered`
Exists.elim
(exists_between (lo_lt_hi _ (Finset.max'_mem _ nlo) _ (Finset.min'_mem _ nhi))) fun m hm ↦
⟨m, fun x hx ↦ lt_of_le_of_lt (Finset.le_max' lo x hx) hm.1, fun y hy ↦
lt_of_lt_of_le hm.2 (Finset.min'_le hi y hy)⟩
else-- upper set is empty, use `NoMaxOrder`
Exists.elim
(exists_gt (Finset.max' lo nlo)) fun m hm ↦
⟨m, fun x hx ↦ lt_of_le_of_lt (Finset.le_max' lo x hx) hm, fun y hy ↦ (nhi ⟨y, hy⟩).elim⟩
else
if nhi : hi.Nonempty then
-- lower set is empty, use `NoMinOrder`
Exists.elim
(exists_lt (Finset.min' hi nhi)) fun m hm ↦
⟨m, fun x hx ↦ (nlo ⟨x, hx⟩).elim, fun y hy ↦ lt_of_lt_of_le hm (Finset.min'_le hi y hy)⟩
else -- both sets are empty, use `Nonempty`
nonem.elim
fun m ↦ ⟨m, fun x hx ↦ (nlo ⟨x, hx⟩).elim, fun y hy ↦ (nhi ⟨y, hy⟩).elim⟩
#align order.exists_between_finsets Order.exists_between_finsets
variable (α β : Type*) [LinearOrder α] [LinearOrder β]
-- Porting note: Mathport warning: expanding binder collection (p q «expr ∈ » f)
def PartialIso : Type _ :=
{ f : Finset (α × β) //
∀ p ∈ f, ∀ q ∈ f,
cmp (Prod.fst p) (Prod.fst q) = cmp (Prod.snd p) (Prod.snd q) }
#align order.partial_iso Order.PartialIso
namespace PartialIso
instance : Inhabited (PartialIso α β) := ⟨⟨∅, fun _p h _q ↦ (Finset.not_mem_empty _ h).elim⟩⟩
instance : Preorder (PartialIso α β) := Subtype.preorder _
variable {α β}
| Mathlib/Order/CountableDenseLinearOrder.lean | 94 | 122 | theorem exists_across [DenselyOrdered β] [NoMinOrder β] [NoMaxOrder β] [Nonempty β]
(f : PartialIso α β) (a : α) :
∃ b : β, ∀ p ∈ f.val, cmp (Prod.fst p) a = cmp (Prod.snd p) b := by |
by_cases h : ∃ b, (a, b) ∈ f.val
· cases' h with b hb
exact ⟨b, fun p hp ↦ f.prop _ hp _ hb⟩
have :
∀ x ∈ (f.val.filter fun p : α × β ↦ p.fst < a).image Prod.snd,
∀ y ∈ (f.val.filter fun p : α × β ↦ a < p.fst).image Prod.snd, x < y := by
intro x hx y hy
rw [Finset.mem_image] at hx hy
rcases hx with ⟨p, hp1, rfl⟩
rcases hy with ⟨q, hq1, rfl⟩
rw [Finset.mem_filter] at hp1 hq1
rw [← lt_iff_lt_of_cmp_eq_cmp (f.prop _ hp1.1 _ hq1.1)]
exact lt_trans hp1.right hq1.right
cases' exists_between_finsets _ _ this with b hb
use b
rintro ⟨p1, p2⟩ hp
have : p1 ≠ a := fun he ↦ h ⟨p2, he ▸ hp⟩
cases' lt_or_gt_of_ne this with hl hr
· have : p1 < a ∧ p2 < b :=
⟨hl, hb.1 _ (Finset.mem_image.mpr ⟨(p1, p2), Finset.mem_filter.mpr ⟨hp, hl⟩, rfl⟩)⟩
rw [← cmp_eq_lt_iff, ← cmp_eq_lt_iff] at this
exact this.1.trans this.2.symm
· have : a < p1 ∧ b < p2 :=
⟨hr, hb.2 _ (Finset.mem_image.mpr ⟨(p1, p2), Finset.mem_filter.mpr ⟨hp, hr⟩, rfl⟩)⟩
rw [← cmp_eq_gt_iff, ← cmp_eq_gt_iff] at this
exact this.1.trans this.2.symm
|
import Batteries.Data.Fin.Basic
namespace Fin
attribute [norm_cast] val_last
protected theorem le_antisymm_iff {x y : Fin n} : x = y ↔ x ≤ y ∧ y ≤ x :=
Fin.ext_iff.trans Nat.le_antisymm_iff
protected theorem le_antisymm {x y : Fin n} (h1 : x ≤ y) (h2 : y ≤ x) : x = y :=
Fin.le_antisymm_iff.2 ⟨h1, h2⟩
@[simp] theorem coe_clamp (n m : Nat) : (clamp n m : Nat) = min n m := rfl
@[simp] theorem size_enum (n) : (enum n).size = n := Array.size_ofFn ..
@[simp] theorem enum_zero : (enum 0) = #[] := by simp [enum, Array.ofFn, Array.ofFn.go]
@[simp] theorem getElem_enum (i) (h : i < (enum n).size) : (enum n)[i] = ⟨i, size_enum n ▸ h⟩ :=
Array.getElem_ofFn ..
@[simp] theorem length_list (n) : (list n).length = n := by simp [list]
@[simp] theorem get_list (i : Fin (list n).length) : (list n).get i = i.cast (length_list n) := by
cases i; simp only [list]; rw [← Array.getElem_eq_data_get, getElem_enum, cast_mk]
@[simp] theorem list_zero : list 0 = [] := by simp [list]
theorem list_succ (n) : list (n+1) = 0 :: (list n).map Fin.succ := by
apply List.ext_get; simp; intro i; cases i <;> simp
theorem list_succ_last (n) : list (n+1) = (list n).map castSucc ++ [last n] := by
rw [list_succ]
induction n with
| zero => rfl
| succ n ih =>
rw [list_succ, List.map_cons castSucc, ih]
simp [Function.comp_def, succ_castSucc]
theorem list_reverse (n) : (list n).reverse = (list n).map rev := by
induction n with
| zero => rfl
| succ n ih =>
conv => lhs; rw [list_succ_last]
conv => rhs; rw [list_succ]
simp [List.reverse_map, ih, Function.comp_def, rev_succ]
| .lake/packages/batteries/Batteries/Data/Fin/Lemmas.lean | 59 | 61 | theorem foldl_loop_lt (f : α → Fin n → α) (x) (h : m < n) :
foldl.loop n f x m = foldl.loop n f (f x ⟨m, h⟩) (m+1) := by |
rw [foldl.loop, dif_pos h]
|
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Algebra.Order.Field.Defs
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.Algebra.Order.Group.MinMax
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Data.Finset.Preimage
import Mathlib.Order.Interval.Set.Disjoint
import Mathlib.Order.Interval.Set.OrderIso
import Mathlib.Order.ConditionallyCompleteLattice.Basic
import Mathlib.Order.Filter.Bases
#align_import order.filter.at_top_bot from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58"
set_option autoImplicit true
variable {ι ι' α β γ : Type*}
open Set
namespace Filter
def atTop [Preorder α] : Filter α :=
⨅ a, 𝓟 (Ici a)
#align filter.at_top Filter.atTop
def atBot [Preorder α] : Filter α :=
⨅ a, 𝓟 (Iic a)
#align filter.at_bot Filter.atBot
theorem mem_atTop [Preorder α] (a : α) : { b : α | a ≤ b } ∈ @atTop α _ :=
mem_iInf_of_mem a <| Subset.refl _
#align filter.mem_at_top Filter.mem_atTop
theorem Ici_mem_atTop [Preorder α] (a : α) : Ici a ∈ (atTop : Filter α) :=
mem_atTop a
#align filter.Ici_mem_at_top Filter.Ici_mem_atTop
theorem Ioi_mem_atTop [Preorder α] [NoMaxOrder α] (x : α) : Ioi x ∈ (atTop : Filter α) :=
let ⟨z, hz⟩ := exists_gt x
mem_of_superset (mem_atTop z) fun _ h => lt_of_lt_of_le hz h
#align filter.Ioi_mem_at_top Filter.Ioi_mem_atTop
theorem mem_atBot [Preorder α] (a : α) : { b : α | b ≤ a } ∈ @atBot α _ :=
mem_iInf_of_mem a <| Subset.refl _
#align filter.mem_at_bot Filter.mem_atBot
theorem Iic_mem_atBot [Preorder α] (a : α) : Iic a ∈ (atBot : Filter α) :=
mem_atBot a
#align filter.Iic_mem_at_bot Filter.Iic_mem_atBot
theorem Iio_mem_atBot [Preorder α] [NoMinOrder α] (x : α) : Iio x ∈ (atBot : Filter α) :=
let ⟨z, hz⟩ := exists_lt x
mem_of_superset (mem_atBot z) fun _ h => lt_of_le_of_lt h hz
#align filter.Iio_mem_at_bot Filter.Iio_mem_atBot
theorem disjoint_atBot_principal_Ioi [Preorder α] (x : α) : Disjoint atBot (𝓟 (Ioi x)) :=
disjoint_of_disjoint_of_mem (Iic_disjoint_Ioi le_rfl) (Iic_mem_atBot x) (mem_principal_self _)
#align filter.disjoint_at_bot_principal_Ioi Filter.disjoint_atBot_principal_Ioi
theorem disjoint_atTop_principal_Iio [Preorder α] (x : α) : Disjoint atTop (𝓟 (Iio x)) :=
@disjoint_atBot_principal_Ioi αᵒᵈ _ _
#align filter.disjoint_at_top_principal_Iio Filter.disjoint_atTop_principal_Iio
theorem disjoint_atTop_principal_Iic [Preorder α] [NoMaxOrder α] (x : α) :
Disjoint atTop (𝓟 (Iic x)) :=
disjoint_of_disjoint_of_mem (Iic_disjoint_Ioi le_rfl).symm (Ioi_mem_atTop x)
(mem_principal_self _)
#align filter.disjoint_at_top_principal_Iic Filter.disjoint_atTop_principal_Iic
theorem disjoint_atBot_principal_Ici [Preorder α] [NoMinOrder α] (x : α) :
Disjoint atBot (𝓟 (Ici x)) :=
@disjoint_atTop_principal_Iic αᵒᵈ _ _ _
#align filter.disjoint_at_bot_principal_Ici Filter.disjoint_atBot_principal_Ici
theorem disjoint_pure_atTop [Preorder α] [NoMaxOrder α] (x : α) : Disjoint (pure x) atTop :=
Disjoint.symm <| (disjoint_atTop_principal_Iic x).mono_right <| le_principal_iff.2 <|
mem_pure.2 right_mem_Iic
#align filter.disjoint_pure_at_top Filter.disjoint_pure_atTop
theorem disjoint_pure_atBot [Preorder α] [NoMinOrder α] (x : α) : Disjoint (pure x) atBot :=
@disjoint_pure_atTop αᵒᵈ _ _ _
#align filter.disjoint_pure_at_bot Filter.disjoint_pure_atBot
theorem not_tendsto_const_atTop [Preorder α] [NoMaxOrder α] (x : α) (l : Filter β) [l.NeBot] :
¬Tendsto (fun _ => x) l atTop :=
tendsto_const_pure.not_tendsto (disjoint_pure_atTop x)
#align filter.not_tendsto_const_at_top Filter.not_tendsto_const_atTop
theorem not_tendsto_const_atBot [Preorder α] [NoMinOrder α] (x : α) (l : Filter β) [l.NeBot] :
¬Tendsto (fun _ => x) l atBot :=
tendsto_const_pure.not_tendsto (disjoint_pure_atBot x)
#align filter.not_tendsto_const_at_bot Filter.not_tendsto_const_atBot
theorem disjoint_atBot_atTop [PartialOrder α] [Nontrivial α] :
Disjoint (atBot : Filter α) atTop := by
rcases exists_pair_ne α with ⟨x, y, hne⟩
by_cases hle : x ≤ y
· refine disjoint_of_disjoint_of_mem ?_ (Iic_mem_atBot x) (Ici_mem_atTop y)
exact Iic_disjoint_Ici.2 (hle.lt_of_ne hne).not_le
· refine disjoint_of_disjoint_of_mem ?_ (Iic_mem_atBot y) (Ici_mem_atTop x)
exact Iic_disjoint_Ici.2 hle
#align filter.disjoint_at_bot_at_top Filter.disjoint_atBot_atTop
theorem disjoint_atTop_atBot [PartialOrder α] [Nontrivial α] : Disjoint (atTop : Filter α) atBot :=
disjoint_atBot_atTop.symm
#align filter.disjoint_at_top_at_bot Filter.disjoint_atTop_atBot
theorem hasAntitoneBasis_atTop [Nonempty α] [Preorder α] [IsDirected α (· ≤ ·)] :
(@atTop α _).HasAntitoneBasis Ici :=
.iInf_principal fun _ _ ↦ Ici_subset_Ici.2
theorem atTop_basis [Nonempty α] [SemilatticeSup α] : (@atTop α _).HasBasis (fun _ => True) Ici :=
hasAntitoneBasis_atTop.1
#align filter.at_top_basis Filter.atTop_basis
theorem atTop_eq_generate_Ici [SemilatticeSup α] : atTop = generate (range (Ici (α := α))) := by
rcases isEmpty_or_nonempty α with hα|hα
· simp only [eq_iff_true_of_subsingleton]
· simp [(atTop_basis (α := α)).eq_generate, range]
theorem atTop_basis' [SemilatticeSup α] (a : α) : (@atTop α _).HasBasis (fun x => a ≤ x) Ici :=
⟨fun _ =>
(@atTop_basis α ⟨a⟩ _).mem_iff.trans
⟨fun ⟨x, _, hx⟩ => ⟨x ⊔ a, le_sup_right, fun _y hy => hx (le_trans le_sup_left hy)⟩,
fun ⟨x, _, hx⟩ => ⟨x, trivial, hx⟩⟩⟩
#align filter.at_top_basis' Filter.atTop_basis'
theorem atBot_basis [Nonempty α] [SemilatticeInf α] : (@atBot α _).HasBasis (fun _ => True) Iic :=
@atTop_basis αᵒᵈ _ _
#align filter.at_bot_basis Filter.atBot_basis
theorem atBot_basis' [SemilatticeInf α] (a : α) : (@atBot α _).HasBasis (fun x => x ≤ a) Iic :=
@atTop_basis' αᵒᵈ _ _
#align filter.at_bot_basis' Filter.atBot_basis'
@[instance]
theorem atTop_neBot [Nonempty α] [SemilatticeSup α] : NeBot (atTop : Filter α) :=
atTop_basis.neBot_iff.2 fun _ => nonempty_Ici
#align filter.at_top_ne_bot Filter.atTop_neBot
@[instance]
theorem atBot_neBot [Nonempty α] [SemilatticeInf α] : NeBot (atBot : Filter α) :=
@atTop_neBot αᵒᵈ _ _
#align filter.at_bot_ne_bot Filter.atBot_neBot
@[simp]
theorem mem_atTop_sets [Nonempty α] [SemilatticeSup α] {s : Set α} :
s ∈ (atTop : Filter α) ↔ ∃ a : α, ∀ b ≥ a, b ∈ s :=
atTop_basis.mem_iff.trans <| exists_congr fun _ => true_and_iff _
#align filter.mem_at_top_sets Filter.mem_atTop_sets
@[simp]
theorem mem_atBot_sets [Nonempty α] [SemilatticeInf α] {s : Set α} :
s ∈ (atBot : Filter α) ↔ ∃ a : α, ∀ b ≤ a, b ∈ s :=
@mem_atTop_sets αᵒᵈ _ _ _
#align filter.mem_at_bot_sets Filter.mem_atBot_sets
@[simp]
theorem eventually_atTop [SemilatticeSup α] [Nonempty α] {p : α → Prop} :
(∀ᶠ x in atTop, p x) ↔ ∃ a, ∀ b ≥ a, p b :=
mem_atTop_sets
#align filter.eventually_at_top Filter.eventually_atTop
@[simp]
theorem eventually_atBot [SemilatticeInf α] [Nonempty α] {p : α → Prop} :
(∀ᶠ x in atBot, p x) ↔ ∃ a, ∀ b ≤ a, p b :=
mem_atBot_sets
#align filter.eventually_at_bot Filter.eventually_atBot
theorem eventually_ge_atTop [Preorder α] (a : α) : ∀ᶠ x in atTop, a ≤ x :=
mem_atTop a
#align filter.eventually_ge_at_top Filter.eventually_ge_atTop
theorem eventually_le_atBot [Preorder α] (a : α) : ∀ᶠ x in atBot, x ≤ a :=
mem_atBot a
#align filter.eventually_le_at_bot Filter.eventually_le_atBot
theorem eventually_gt_atTop [Preorder α] [NoMaxOrder α] (a : α) : ∀ᶠ x in atTop, a < x :=
Ioi_mem_atTop a
#align filter.eventually_gt_at_top Filter.eventually_gt_atTop
theorem eventually_ne_atTop [Preorder α] [NoMaxOrder α] (a : α) : ∀ᶠ x in atTop, x ≠ a :=
(eventually_gt_atTop a).mono fun _ => ne_of_gt
#align filter.eventually_ne_at_top Filter.eventually_ne_atTop
protected theorem Tendsto.eventually_gt_atTop [Preorder β] [NoMaxOrder β] {f : α → β} {l : Filter α}
(hf : Tendsto f l atTop) (c : β) : ∀ᶠ x in l, c < f x :=
hf.eventually (eventually_gt_atTop c)
#align filter.tendsto.eventually_gt_at_top Filter.Tendsto.eventually_gt_atTop
protected theorem Tendsto.eventually_ge_atTop [Preorder β] {f : α → β} {l : Filter α}
(hf : Tendsto f l atTop) (c : β) : ∀ᶠ x in l, c ≤ f x :=
hf.eventually (eventually_ge_atTop c)
#align filter.tendsto.eventually_ge_at_top Filter.Tendsto.eventually_ge_atTop
protected theorem Tendsto.eventually_ne_atTop [Preorder β] [NoMaxOrder β] {f : α → β} {l : Filter α}
(hf : Tendsto f l atTop) (c : β) : ∀ᶠ x in l, f x ≠ c :=
hf.eventually (eventually_ne_atTop c)
#align filter.tendsto.eventually_ne_at_top Filter.Tendsto.eventually_ne_atTop
protected theorem Tendsto.eventually_ne_atTop' [Preorder β] [NoMaxOrder β] {f : α → β}
{l : Filter α} (hf : Tendsto f l atTop) (c : α) : ∀ᶠ x in l, x ≠ c :=
(hf.eventually_ne_atTop (f c)).mono fun _ => ne_of_apply_ne f
#align filter.tendsto.eventually_ne_at_top' Filter.Tendsto.eventually_ne_atTop'
theorem eventually_lt_atBot [Preorder α] [NoMinOrder α] (a : α) : ∀ᶠ x in atBot, x < a :=
Iio_mem_atBot a
#align filter.eventually_lt_at_bot Filter.eventually_lt_atBot
theorem eventually_ne_atBot [Preorder α] [NoMinOrder α] (a : α) : ∀ᶠ x in atBot, x ≠ a :=
(eventually_lt_atBot a).mono fun _ => ne_of_lt
#align filter.eventually_ne_at_bot Filter.eventually_ne_atBot
protected theorem Tendsto.eventually_lt_atBot [Preorder β] [NoMinOrder β] {f : α → β} {l : Filter α}
(hf : Tendsto f l atBot) (c : β) : ∀ᶠ x in l, f x < c :=
hf.eventually (eventually_lt_atBot c)
#align filter.tendsto.eventually_lt_at_bot Filter.Tendsto.eventually_lt_atBot
protected theorem Tendsto.eventually_le_atBot [Preorder β] {f : α → β} {l : Filter α}
(hf : Tendsto f l atBot) (c : β) : ∀ᶠ x in l, f x ≤ c :=
hf.eventually (eventually_le_atBot c)
#align filter.tendsto.eventually_le_at_bot Filter.Tendsto.eventually_le_atBot
protected theorem Tendsto.eventually_ne_atBot [Preorder β] [NoMinOrder β] {f : α → β} {l : Filter α}
(hf : Tendsto f l atBot) (c : β) : ∀ᶠ x in l, f x ≠ c :=
hf.eventually (eventually_ne_atBot c)
#align filter.tendsto.eventually_ne_at_bot Filter.Tendsto.eventually_ne_atBot
theorem eventually_forall_ge_atTop [Preorder α] {p : α → Prop} :
(∀ᶠ x in atTop, ∀ y, x ≤ y → p y) ↔ ∀ᶠ x in atTop, p x := by
refine ⟨fun h ↦ h.mono fun x hx ↦ hx x le_rfl, fun h ↦ ?_⟩
rcases (hasBasis_iInf_principal_finite _).eventually_iff.1 h with ⟨S, hSf, hS⟩
refine mem_iInf_of_iInter hSf (V := fun x ↦ Ici x.1) (fun _ ↦ Subset.rfl) fun x hx y hy ↦ ?_
simp only [mem_iInter] at hS hx
exact hS fun z hz ↦ le_trans (hx ⟨z, hz⟩) hy
theorem eventually_forall_le_atBot [Preorder α] {p : α → Prop} :
(∀ᶠ x in atBot, ∀ y, y ≤ x → p y) ↔ ∀ᶠ x in atBot, p x :=
eventually_forall_ge_atTop (α := αᵒᵈ)
theorem Tendsto.eventually_forall_ge_atTop {α β : Type*} [Preorder β] {l : Filter α}
{p : β → Prop} {f : α → β} (hf : Tendsto f l atTop) (h_evtl : ∀ᶠ x in atTop, p x) :
∀ᶠ x in l, ∀ y, f x ≤ y → p y := by
rw [← Filter.eventually_forall_ge_atTop] at h_evtl; exact (h_evtl.comap f).filter_mono hf.le_comap
theorem Tendsto.eventually_forall_le_atBot {α β : Type*} [Preorder β] {l : Filter α}
{p : β → Prop} {f : α → β} (hf : Tendsto f l atBot) (h_evtl : ∀ᶠ x in atBot, p x) :
∀ᶠ x in l, ∀ y, y ≤ f x → p y := by
rw [← Filter.eventually_forall_le_atBot] at h_evtl; exact (h_evtl.comap f).filter_mono hf.le_comap
theorem atTop_basis_Ioi [Nonempty α] [SemilatticeSup α] [NoMaxOrder α] :
(@atTop α _).HasBasis (fun _ => True) Ioi :=
atTop_basis.to_hasBasis (fun a ha => ⟨a, ha, Ioi_subset_Ici_self⟩) fun a ha =>
(exists_gt a).imp fun _b hb => ⟨ha, Ici_subset_Ioi.2 hb⟩
#align filter.at_top_basis_Ioi Filter.atTop_basis_Ioi
lemma atTop_basis_Ioi' [SemilatticeSup α] [NoMaxOrder α] (a : α) : atTop.HasBasis (a < ·) Ioi :=
have : Nonempty α := ⟨a⟩
atTop_basis_Ioi.to_hasBasis (fun b _ ↦
let ⟨c, hc⟩ := exists_gt (a ⊔ b)
⟨c, le_sup_left.trans_lt hc, Ioi_subset_Ioi <| le_sup_right.trans hc.le⟩) fun b _ ↦
⟨b, trivial, Subset.rfl⟩
theorem atTop_countable_basis [Nonempty α] [SemilatticeSup α] [Countable α] :
HasCountableBasis (atTop : Filter α) (fun _ => True) Ici :=
{ atTop_basis with countable := to_countable _ }
#align filter.at_top_countable_basis Filter.atTop_countable_basis
theorem atBot_countable_basis [Nonempty α] [SemilatticeInf α] [Countable α] :
HasCountableBasis (atBot : Filter α) (fun _ => True) Iic :=
{ atBot_basis with countable := to_countable _ }
#align filter.at_bot_countable_basis Filter.atBot_countable_basis
instance (priority := 200) atTop.isCountablyGenerated [Preorder α] [Countable α] :
(atTop : Filter <| α).IsCountablyGenerated :=
isCountablyGenerated_seq _
#align filter.at_top.is_countably_generated Filter.atTop.isCountablyGenerated
instance (priority := 200) atBot.isCountablyGenerated [Preorder α] [Countable α] :
(atBot : Filter <| α).IsCountablyGenerated :=
isCountablyGenerated_seq _
#align filter.at_bot.is_countably_generated Filter.atBot.isCountablyGenerated
theorem _root_.IsTop.atTop_eq [Preorder α] {a : α} (ha : IsTop a) : atTop = 𝓟 (Ici a) :=
(iInf_le _ _).antisymm <| le_iInf fun b ↦ principal_mono.2 <| Ici_subset_Ici.2 <| ha b
theorem _root_.IsBot.atBot_eq [Preorder α] {a : α} (ha : IsBot a) : atBot = 𝓟 (Iic a) :=
ha.toDual.atTop_eq
| Mathlib/Order/Filter/AtTopBot.lean | 314 | 315 | theorem OrderTop.atTop_eq (α) [PartialOrder α] [OrderTop α] : (atTop : Filter α) = pure ⊤ := by |
rw [isTop_top.atTop_eq, Ici_top, principal_singleton]
|
import Mathlib.Topology.Compactness.SigmaCompact
import Mathlib.Topology.Connected.TotallyDisconnected
import Mathlib.Topology.Inseparable
#align_import topology.separation from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d"
open Function Set Filter Topology TopologicalSpace
open scoped Classical
universe u v
variable {X : Type*} {Y : Type*} [TopologicalSpace X]
section Separation
def SeparatedNhds : Set X → Set X → Prop := fun s t : Set X =>
∃ U V : Set X, IsOpen U ∧ IsOpen V ∧ s ⊆ U ∧ t ⊆ V ∧ Disjoint U V
#align separated_nhds SeparatedNhds
theorem separatedNhds_iff_disjoint {s t : Set X} : SeparatedNhds s t ↔ Disjoint (𝓝ˢ s) (𝓝ˢ t) := by
simp only [(hasBasis_nhdsSet s).disjoint_iff (hasBasis_nhdsSet t), SeparatedNhds, exists_prop, ←
exists_and_left, and_assoc, and_comm, and_left_comm]
#align separated_nhds_iff_disjoint separatedNhds_iff_disjoint
alias ⟨SeparatedNhds.disjoint_nhdsSet, _⟩ := separatedNhds_iff_disjoint
class T0Space (X : Type u) [TopologicalSpace X] : Prop where
t0 : ∀ ⦃x y : X⦄, Inseparable x y → x = y
#align t0_space T0Space
theorem t0Space_iff_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ ∀ x y : X, Inseparable x y → x = y :=
⟨fun ⟨h⟩ => h, fun h => ⟨h⟩⟩
#align t0_space_iff_inseparable t0Space_iff_inseparable
theorem t0Space_iff_not_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y : X => ¬Inseparable x y := by
simp only [t0Space_iff_inseparable, Ne, not_imp_not, Pairwise]
#align t0_space_iff_not_inseparable t0Space_iff_not_inseparable
theorem Inseparable.eq [T0Space X] {x y : X} (h : Inseparable x y) : x = y :=
T0Space.t0 h
#align inseparable.eq Inseparable.eq
protected theorem Inducing.injective [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Injective f := fun _ _ h =>
(hf.inseparable_iff.1 <| .of_eq h).eq
#align inducing.injective Inducing.injective
protected theorem Inducing.embedding [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Embedding f :=
⟨hf, hf.injective⟩
#align inducing.embedding Inducing.embedding
lemma embedding_iff_inducing [TopologicalSpace Y] [T0Space X] {f : X → Y} :
Embedding f ↔ Inducing f :=
⟨Embedding.toInducing, Inducing.embedding⟩
#align embedding_iff_inducing embedding_iff_inducing
theorem t0Space_iff_nhds_injective (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Injective (𝓝 : X → Filter X) :=
t0Space_iff_inseparable X
#align t0_space_iff_nhds_injective t0Space_iff_nhds_injective
theorem nhds_injective [T0Space X] : Injective (𝓝 : X → Filter X) :=
(t0Space_iff_nhds_injective X).1 ‹_›
#align nhds_injective nhds_injective
theorem inseparable_iff_eq [T0Space X] {x y : X} : Inseparable x y ↔ x = y :=
nhds_injective.eq_iff
#align inseparable_iff_eq inseparable_iff_eq
@[simp]
theorem nhds_eq_nhds_iff [T0Space X] {a b : X} : 𝓝 a = 𝓝 b ↔ a = b :=
nhds_injective.eq_iff
#align nhds_eq_nhds_iff nhds_eq_nhds_iff
@[simp]
theorem inseparable_eq_eq [T0Space X] : Inseparable = @Eq X :=
funext₂ fun _ _ => propext inseparable_iff_eq
#align inseparable_eq_eq inseparable_eq_eq
theorem TopologicalSpace.IsTopologicalBasis.inseparable_iff {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : Inseparable x y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
⟨fun h s hs ↦ inseparable_iff_forall_open.1 h _ (hb.isOpen hs),
fun h ↦ hb.nhds_hasBasis.eq_of_same_basis <| by
convert hb.nhds_hasBasis using 2
exact and_congr_right (h _)⟩
theorem TopologicalSpace.IsTopologicalBasis.eq_iff [T0Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : x = y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
inseparable_iff_eq.symm.trans hb.inseparable_iff
theorem t0Space_iff_exists_isOpen_xor'_mem (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) := by
simp only [t0Space_iff_not_inseparable, xor_iff_not_iff, not_forall, exists_prop,
inseparable_iff_forall_open, Pairwise]
#align t0_space_iff_exists_is_open_xor_mem t0Space_iff_exists_isOpen_xor'_mem
theorem exists_isOpen_xor'_mem [T0Space X] {x y : X} (h : x ≠ y) :
∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) :=
(t0Space_iff_exists_isOpen_xor'_mem X).1 ‹_› h
#align exists_is_open_xor_mem exists_isOpen_xor'_mem
def specializationOrder (X) [TopologicalSpace X] [T0Space X] : PartialOrder X :=
{ specializationPreorder X, PartialOrder.lift (OrderDual.toDual ∘ 𝓝) nhds_injective with }
#align specialization_order specializationOrder
instance SeparationQuotient.instT0Space : T0Space (SeparationQuotient X) :=
⟨fun x y => Quotient.inductionOn₂' x y fun _ _ h =>
SeparationQuotient.mk_eq_mk.2 <| SeparationQuotient.inducing_mk.inseparable_iff.1 h⟩
theorem minimal_nonempty_closed_subsingleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· refine this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s \ U = s := hmin (s \ U) diff_subset ⟨y, hy, hyU⟩ (hs.sdiff hUo)
exact (this.symm.subset hx).2 hxU
#align minimal_nonempty_closed_subsingleton minimal_nonempty_closed_subsingleton
theorem minimal_nonempty_closed_eq_singleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2
⟨hne, minimal_nonempty_closed_subsingleton hs hmin⟩
#align minimal_nonempty_closed_eq_singleton minimal_nonempty_closed_eq_singleton
theorem IsClosed.exists_closed_singleton [T0Space X] [CompactSpace X] {S : Set X}
(hS : IsClosed S) (hne : S.Nonempty) : ∃ x : X, x ∈ S ∧ IsClosed ({x} : Set X) := by
obtain ⟨V, Vsub, Vne, Vcls, hV⟩ := hS.exists_minimal_nonempty_closed_subset hne
rcases minimal_nonempty_closed_eq_singleton Vcls Vne hV with ⟨x, rfl⟩
exact ⟨x, Vsub (mem_singleton x), Vcls⟩
#align is_closed.exists_closed_singleton IsClosed.exists_closed_singleton
theorem minimal_nonempty_open_subsingleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· exact this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s ∩ U = s := hmin (s ∩ U) inter_subset_left ⟨x, hx, hxU⟩ (hs.inter hUo)
exact hyU (this.symm.subset hy).2
#align minimal_nonempty_open_subsingleton minimal_nonempty_open_subsingleton
theorem minimal_nonempty_open_eq_singleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨hne, minimal_nonempty_open_subsingleton hs hmin⟩
#align minimal_nonempty_open_eq_singleton minimal_nonempty_open_eq_singleton
theorem exists_isOpen_singleton_of_isOpen_finite [T0Space X] {s : Set X} (hfin : s.Finite)
(hne : s.Nonempty) (ho : IsOpen s) : ∃ x ∈ s, IsOpen ({x} : Set X) := by
lift s to Finset X using hfin
induction' s using Finset.strongInductionOn with s ihs
rcases em (∃ t, t ⊂ s ∧ t.Nonempty ∧ IsOpen (t : Set X)) with (⟨t, hts, htne, hto⟩ | ht)
· rcases ihs t hts htne hto with ⟨x, hxt, hxo⟩
exact ⟨x, hts.1 hxt, hxo⟩
· -- Porting note: was `rcases minimal_nonempty_open_eq_singleton ho hne _ with ⟨x, hx⟩`
-- https://github.com/leanprover/std4/issues/116
rsuffices ⟨x, hx⟩ : ∃ x, s.toSet = {x}
· exact ⟨x, hx.symm ▸ rfl, hx ▸ ho⟩
refine minimal_nonempty_open_eq_singleton ho hne ?_
refine fun t hts htne hto => of_not_not fun hts' => ht ?_
lift t to Finset X using s.finite_toSet.subset hts
exact ⟨t, ssubset_iff_subset_ne.2 ⟨hts, mt Finset.coe_inj.2 hts'⟩, htne, hto⟩
#align exists_open_singleton_of_open_finite exists_isOpen_singleton_of_isOpen_finite
theorem exists_open_singleton_of_finite [T0Space X] [Finite X] [Nonempty X] :
∃ x : X, IsOpen ({x} : Set X) :=
let ⟨x, _, h⟩ := exists_isOpen_singleton_of_isOpen_finite (Set.toFinite _)
univ_nonempty isOpen_univ
⟨x, h⟩
#align exists_open_singleton_of_fintype exists_open_singleton_of_finite
theorem t0Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T0Space Y] : T0Space X :=
⟨fun _ _ h => hf <| (h.map hf').eq⟩
#align t0_space_of_injective_of_continuous t0Space_of_injective_of_continuous
protected theorem Embedding.t0Space [TopologicalSpace Y] [T0Space Y] {f : X → Y}
(hf : Embedding f) : T0Space X :=
t0Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t0_space Embedding.t0Space
instance Subtype.t0Space [T0Space X] {p : X → Prop} : T0Space (Subtype p) :=
embedding_subtype_val.t0Space
#align subtype.t0_space Subtype.t0Space
theorem t0Space_iff_or_not_mem_closure (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun a b : X => a ∉ closure ({b} : Set X) ∨ b ∉ closure ({a} : Set X) := by
simp only [t0Space_iff_not_inseparable, inseparable_iff_mem_closure, not_and_or]
#align t0_space_iff_or_not_mem_closure t0Space_iff_or_not_mem_closure
instance Prod.instT0Space [TopologicalSpace Y] [T0Space X] [T0Space Y] : T0Space (X × Y) :=
⟨fun _ _ h => Prod.ext (h.map continuous_fst).eq (h.map continuous_snd).eq⟩
instance Pi.instT0Space {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)]
[∀ i, T0Space (X i)] :
T0Space (∀ i, X i) :=
⟨fun _ _ h => funext fun i => (h.map (continuous_apply i)).eq⟩
#align pi.t0_space Pi.instT0Space
instance ULift.instT0Space [T0Space X] : T0Space (ULift X) :=
embedding_uLift_down.t0Space
theorem T0Space.of_cover (h : ∀ x y, Inseparable x y → ∃ s : Set X, x ∈ s ∧ y ∈ s ∧ T0Space s) :
T0Space X := by
refine ⟨fun x y hxy => ?_⟩
rcases h x y hxy with ⟨s, hxs, hys, hs⟩
lift x to s using hxs; lift y to s using hys
rw [← subtype_inseparable_iff] at hxy
exact congr_arg Subtype.val hxy.eq
#align t0_space.of_cover T0Space.of_cover
theorem T0Space.of_open_cover (h : ∀ x, ∃ s : Set X, x ∈ s ∧ IsOpen s ∧ T0Space s) : T0Space X :=
T0Space.of_cover fun x _ hxy =>
let ⟨s, hxs, hso, hs⟩ := h x
⟨s, hxs, (hxy.mem_open_iff hso).1 hxs, hs⟩
#align t0_space.of_open_cover T0Space.of_open_cover
@[mk_iff]
class R0Space (X : Type u) [TopologicalSpace X] : Prop where
specializes_symmetric : Symmetric (Specializes : X → X → Prop)
export R0Space (specializes_symmetric)
class T1Space (X : Type u) [TopologicalSpace X] : Prop where
t1 : ∀ x, IsClosed ({x} : Set X)
#align t1_space T1Space
theorem isClosed_singleton [T1Space X] {x : X} : IsClosed ({x} : Set X) :=
T1Space.t1 x
#align is_closed_singleton isClosed_singleton
theorem isOpen_compl_singleton [T1Space X] {x : X} : IsOpen ({x}ᶜ : Set X) :=
isClosed_singleton.isOpen_compl
#align is_open_compl_singleton isOpen_compl_singleton
theorem isOpen_ne [T1Space X] {x : X} : IsOpen { y | y ≠ x } :=
isOpen_compl_singleton
#align is_open_ne isOpen_ne
@[to_additive]
theorem Continuous.isOpen_mulSupport [T1Space X] [One X] [TopologicalSpace Y] {f : Y → X}
(hf : Continuous f) : IsOpen (mulSupport f) :=
isOpen_ne.preimage hf
#align continuous.is_open_mul_support Continuous.isOpen_mulSupport
#align continuous.is_open_support Continuous.isOpen_support
theorem Ne.nhdsWithin_compl_singleton [T1Space X] {x y : X} (h : x ≠ y) : 𝓝[{y}ᶜ] x = 𝓝 x :=
isOpen_ne.nhdsWithin_eq h
#align ne.nhds_within_compl_singleton Ne.nhdsWithin_compl_singleton
theorem Ne.nhdsWithin_diff_singleton [T1Space X] {x y : X} (h : x ≠ y) (s : Set X) :
𝓝[s \ {y}] x = 𝓝[s] x := by
rw [diff_eq, inter_comm, nhdsWithin_inter_of_mem]
exact mem_nhdsWithin_of_mem_nhds (isOpen_ne.mem_nhds h)
#align ne.nhds_within_diff_singleton Ne.nhdsWithin_diff_singleton
lemma nhdsWithin_compl_singleton_le [T1Space X] (x y : X) : 𝓝[{x}ᶜ] x ≤ 𝓝[{y}ᶜ] x := by
rcases eq_or_ne x y with rfl|hy
· exact Eq.le rfl
· rw [Ne.nhdsWithin_compl_singleton hy]
exact nhdsWithin_le_nhds
theorem isOpen_setOf_eventually_nhdsWithin [T1Space X] {p : X → Prop} :
IsOpen { x | ∀ᶠ y in 𝓝[≠] x, p y } := by
refine isOpen_iff_mem_nhds.mpr fun a ha => ?_
filter_upwards [eventually_nhds_nhdsWithin.mpr ha] with b hb
rcases eq_or_ne a b with rfl | h
· exact hb
· rw [h.symm.nhdsWithin_compl_singleton] at hb
exact hb.filter_mono nhdsWithin_le_nhds
#align is_open_set_of_eventually_nhds_within isOpen_setOf_eventually_nhdsWithin
protected theorem Set.Finite.isClosed [T1Space X] {s : Set X} (hs : Set.Finite s) : IsClosed s := by
rw [← biUnion_of_singleton s]
exact hs.isClosed_biUnion fun i _ => isClosed_singleton
#align set.finite.is_closed Set.Finite.isClosed
theorem TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne [T1Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} (h : x ≠ y) : ∃ a ∈ b, x ∈ a ∧ y ∉ a := by
rcases hb.isOpen_iff.1 isOpen_ne x h with ⟨a, ab, xa, ha⟩
exact ⟨a, ab, xa, fun h => ha h rfl⟩
#align topological_space.is_topological_basis.exists_mem_of_ne TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne
protected theorem Finset.isClosed [T1Space X] (s : Finset X) : IsClosed (s : Set X) :=
s.finite_toSet.isClosed
#align finset.is_closed Finset.isClosed
theorem t1Space_TFAE (X : Type u) [TopologicalSpace X] :
List.TFAE [T1Space X,
∀ x, IsClosed ({ x } : Set X),
∀ x, IsOpen ({ x }ᶜ : Set X),
Continuous (@CofiniteTopology.of X),
∀ ⦃x y : X⦄, x ≠ y → {y}ᶜ ∈ 𝓝 x,
∀ ⦃x y : X⦄, x ≠ y → ∃ s ∈ 𝓝 x, y ∉ s,
∀ ⦃x y : X⦄, x ≠ y → ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U,
∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y),
∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y),
∀ ⦃x y : X⦄, x ⤳ y → x = y] := by
tfae_have 1 ↔ 2
· exact ⟨fun h => h.1, fun h => ⟨h⟩⟩
tfae_have 2 ↔ 3
· simp only [isOpen_compl_iff]
tfae_have 5 ↔ 3
· refine forall_swap.trans ?_
simp only [isOpen_iff_mem_nhds, mem_compl_iff, mem_singleton_iff]
tfae_have 5 ↔ 6
· simp only [← subset_compl_singleton_iff, exists_mem_subset_iff]
tfae_have 5 ↔ 7
· simp only [(nhds_basis_opens _).mem_iff, subset_compl_singleton_iff, exists_prop, and_assoc,
and_left_comm]
tfae_have 5 ↔ 8
· simp only [← principal_singleton, disjoint_principal_right]
tfae_have 8 ↔ 9
· exact forall_swap.trans (by simp only [disjoint_comm, ne_comm])
tfae_have 1 → 4
· simp only [continuous_def, CofiniteTopology.isOpen_iff']
rintro H s (rfl | hs)
exacts [isOpen_empty, compl_compl s ▸ (@Set.Finite.isClosed _ _ H _ hs).isOpen_compl]
tfae_have 4 → 2
· exact fun h x => (CofiniteTopology.isClosed_iff.2 <| Or.inr (finite_singleton _)).preimage h
tfae_have 2 ↔ 10
· simp only [← closure_subset_iff_isClosed, specializes_iff_mem_closure, subset_def,
mem_singleton_iff, eq_comm]
tfae_finish
#align t1_space_tfae t1Space_TFAE
theorem t1Space_iff_continuous_cofinite_of : T1Space X ↔ Continuous (@CofiniteTopology.of X) :=
(t1Space_TFAE X).out 0 3
#align t1_space_iff_continuous_cofinite_of t1Space_iff_continuous_cofinite_of
theorem CofiniteTopology.continuous_of [T1Space X] : Continuous (@CofiniteTopology.of X) :=
t1Space_iff_continuous_cofinite_of.mp ‹_›
#align cofinite_topology.continuous_of CofiniteTopology.continuous_of
theorem t1Space_iff_exists_open :
T1Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U :=
(t1Space_TFAE X).out 0 6
#align t1_space_iff_exists_open t1Space_iff_exists_open
theorem t1Space_iff_disjoint_pure_nhds : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y) :=
(t1Space_TFAE X).out 0 8
#align t1_space_iff_disjoint_pure_nhds t1Space_iff_disjoint_pure_nhds
theorem t1Space_iff_disjoint_nhds_pure : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y) :=
(t1Space_TFAE X).out 0 7
#align t1_space_iff_disjoint_nhds_pure t1Space_iff_disjoint_nhds_pure
theorem t1Space_iff_specializes_imp_eq : T1Space X ↔ ∀ ⦃x y : X⦄, x ⤳ y → x = y :=
(t1Space_TFAE X).out 0 9
#align t1_space_iff_specializes_imp_eq t1Space_iff_specializes_imp_eq
theorem disjoint_pure_nhds [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (pure x) (𝓝 y) :=
t1Space_iff_disjoint_pure_nhds.mp ‹_› h
#align disjoint_pure_nhds disjoint_pure_nhds
theorem disjoint_nhds_pure [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (𝓝 x) (pure y) :=
t1Space_iff_disjoint_nhds_pure.mp ‹_› h
#align disjoint_nhds_pure disjoint_nhds_pure
theorem Specializes.eq [T1Space X] {x y : X} (h : x ⤳ y) : x = y :=
t1Space_iff_specializes_imp_eq.1 ‹_› h
#align specializes.eq Specializes.eq
theorem specializes_iff_eq [T1Space X] {x y : X} : x ⤳ y ↔ x = y :=
⟨Specializes.eq, fun h => h ▸ specializes_rfl⟩
#align specializes_iff_eq specializes_iff_eq
@[simp] theorem specializes_eq_eq [T1Space X] : (· ⤳ ·) = @Eq X :=
funext₂ fun _ _ => propext specializes_iff_eq
#align specializes_eq_eq specializes_eq_eq
@[simp]
theorem pure_le_nhds_iff [T1Space X] {a b : X} : pure a ≤ 𝓝 b ↔ a = b :=
specializes_iff_pure.symm.trans specializes_iff_eq
#align pure_le_nhds_iff pure_le_nhds_iff
@[simp]
theorem nhds_le_nhds_iff [T1Space X] {a b : X} : 𝓝 a ≤ 𝓝 b ↔ a = b :=
specializes_iff_eq
#align nhds_le_nhds_iff nhds_le_nhds_iff
instance (priority := 100) [T1Space X] : R0Space X where
specializes_symmetric _ _ := by rw [specializes_iff_eq, specializes_iff_eq]; exact Eq.symm
instance : T1Space (CofiniteTopology X) :=
t1Space_iff_continuous_cofinite_of.mpr continuous_id
theorem t1Space_antitone : Antitone (@T1Space X) := fun a _ h _ =>
@T1Space.mk _ a fun x => (T1Space.t1 x).mono h
#align t1_space_antitone t1Space_antitone
theorem continuousWithinAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y}
{s : Set X} {x x' : X} {y : Y} (hne : x' ≠ x) :
ContinuousWithinAt (Function.update f x y) s x' ↔ ContinuousWithinAt f s x' :=
EventuallyEq.congr_continuousWithinAt
(mem_nhdsWithin_of_mem_nhds <| mem_of_superset (isOpen_ne.mem_nhds hne) fun _y' hy' =>
Function.update_noteq hy' _ _)
(Function.update_noteq hne _ _)
#align continuous_within_at_update_of_ne continuousWithinAt_update_of_ne
theorem continuousAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y]
{f : X → Y} {x x' : X} {y : Y} (hne : x' ≠ x) :
ContinuousAt (Function.update f x y) x' ↔ ContinuousAt f x' := by
simp only [← continuousWithinAt_univ, continuousWithinAt_update_of_ne hne]
#align continuous_at_update_of_ne continuousAt_update_of_ne
theorem continuousOn_update_iff [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y}
{s : Set X} {x : X} {y : Y} :
ContinuousOn (Function.update f x y) s ↔
ContinuousOn f (s \ {x}) ∧ (x ∈ s → Tendsto f (𝓝[s \ {x}] x) (𝓝 y)) := by
rw [ContinuousOn, ← and_forall_ne x, and_comm]
refine and_congr ⟨fun H z hz => ?_, fun H z hzx hzs => ?_⟩ (forall_congr' fun _ => ?_)
· specialize H z hz.2 hz.1
rw [continuousWithinAt_update_of_ne hz.2] at H
exact H.mono diff_subset
· rw [continuousWithinAt_update_of_ne hzx]
refine (H z ⟨hzs, hzx⟩).mono_of_mem (inter_mem_nhdsWithin _ ?_)
exact isOpen_ne.mem_nhds hzx
· exact continuousWithinAt_update_same
#align continuous_on_update_iff continuousOn_update_iff
theorem t1Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T1Space Y] : T1Space X :=
t1Space_iff_specializes_imp_eq.2 fun _ _ h => hf (h.map hf').eq
#align t1_space_of_injective_of_continuous t1Space_of_injective_of_continuous
protected theorem Embedding.t1Space [TopologicalSpace Y] [T1Space Y] {f : X → Y}
(hf : Embedding f) : T1Space X :=
t1Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t1_space Embedding.t1Space
instance Subtype.t1Space {X : Type u} [TopologicalSpace X] [T1Space X] {p : X → Prop} :
T1Space (Subtype p) :=
embedding_subtype_val.t1Space
#align subtype.t1_space Subtype.t1Space
instance [TopologicalSpace Y] [T1Space X] [T1Space Y] : T1Space (X × Y) :=
⟨fun ⟨a, b⟩ => @singleton_prod_singleton _ _ a b ▸ isClosed_singleton.prod isClosed_singleton⟩
instance {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)] [∀ i, T1Space (X i)] :
T1Space (∀ i, X i) :=
⟨fun f => univ_pi_singleton f ▸ isClosed_set_pi fun _ _ => isClosed_singleton⟩
instance ULift.instT1Space [T1Space X] : T1Space (ULift X) :=
embedding_uLift_down.t1Space
-- see Note [lower instance priority]
instance (priority := 100) TotallyDisconnectedSpace.t1Space [h: TotallyDisconnectedSpace X] :
T1Space X := by
rw [((t1Space_TFAE X).out 0 1 :)]
intro x
rw [← totallyDisconnectedSpace_iff_connectedComponent_singleton.mp h x]
exact isClosed_connectedComponent
-- see Note [lower instance priority]
instance (priority := 100) T1Space.t0Space [T1Space X] : T0Space X :=
⟨fun _ _ h => h.specializes.eq⟩
#align t1_space.t0_space T1Space.t0Space
@[simp]
theorem compl_singleton_mem_nhds_iff [T1Space X] {x y : X} : {x}ᶜ ∈ 𝓝 y ↔ y ≠ x :=
isOpen_compl_singleton.mem_nhds_iff
#align compl_singleton_mem_nhds_iff compl_singleton_mem_nhds_iff
theorem compl_singleton_mem_nhds [T1Space X] {x y : X} (h : y ≠ x) : {x}ᶜ ∈ 𝓝 y :=
compl_singleton_mem_nhds_iff.mpr h
#align compl_singleton_mem_nhds compl_singleton_mem_nhds
@[simp]
theorem closure_singleton [T1Space X] {x : X} : closure ({x} : Set X) = {x} :=
isClosed_singleton.closure_eq
#align closure_singleton closure_singleton
-- Porting note (#11215): TODO: the proof was `hs.induction_on (by simp) fun x => by simp`
theorem Set.Subsingleton.closure [T1Space X] {s : Set X} (hs : s.Subsingleton) :
(closure s).Subsingleton := by
rcases hs.eq_empty_or_singleton with (rfl | ⟨x, rfl⟩) <;> simp
#align set.subsingleton.closure Set.Subsingleton.closure
@[simp]
theorem subsingleton_closure [T1Space X] {s : Set X} : (closure s).Subsingleton ↔ s.Subsingleton :=
⟨fun h => h.anti subset_closure, fun h => h.closure⟩
#align subsingleton_closure subsingleton_closure
theorem isClosedMap_const {X Y} [TopologicalSpace X] [TopologicalSpace Y] [T1Space Y] {y : Y} :
IsClosedMap (Function.const X y) :=
IsClosedMap.of_nonempty fun s _ h2s => by simp_rw [const, h2s.image_const, isClosed_singleton]
#align is_closed_map_const isClosedMap_const
theorem nhdsWithin_insert_of_ne [T1Space X] {x y : X} {s : Set X} (hxy : x ≠ y) :
𝓝[insert y s] x = 𝓝[s] x := by
refine le_antisymm (Filter.le_def.2 fun t ht => ?_) (nhdsWithin_mono x <| subset_insert y s)
obtain ⟨o, ho, hxo, host⟩ := mem_nhdsWithin.mp ht
refine mem_nhdsWithin.mpr ⟨o \ {y}, ho.sdiff isClosed_singleton, ⟨hxo, hxy⟩, ?_⟩
rw [inter_insert_of_not_mem <| not_mem_diff_of_mem (mem_singleton y)]
exact (inter_subset_inter diff_subset Subset.rfl).trans host
#align nhds_within_insert_of_ne nhdsWithin_insert_of_ne
theorem insert_mem_nhdsWithin_of_subset_insert [T1Space X] {x y : X} {s t : Set X}
(hu : t ⊆ insert y s) : insert x s ∈ 𝓝[t] x := by
rcases eq_or_ne x y with (rfl | h)
· exact mem_of_superset self_mem_nhdsWithin hu
refine nhdsWithin_mono x hu ?_
rw [nhdsWithin_insert_of_ne h]
exact mem_of_superset self_mem_nhdsWithin (subset_insert x s)
#align insert_mem_nhds_within_of_subset_insert insert_mem_nhdsWithin_of_subset_insert
@[simp]
theorem ker_nhds [T1Space X] (x : X) : (𝓝 x).ker = {x} := by
simp [ker_nhds_eq_specializes]
theorem biInter_basis_nhds [T1Space X] {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {x : X}
(h : (𝓝 x).HasBasis p s) : ⋂ (i) (_ : p i), s i = {x} := by
rw [← h.ker, ker_nhds]
#align bInter_basis_nhds biInter_basis_nhds
@[simp]
theorem compl_singleton_mem_nhdsSet_iff [T1Space X] {x : X} {s : Set X} : {x}ᶜ ∈ 𝓝ˢ s ↔ x ∉ s := by
rw [isOpen_compl_singleton.mem_nhdsSet, subset_compl_singleton_iff]
#align compl_singleton_mem_nhds_set_iff compl_singleton_mem_nhdsSet_iff
@[simp]
theorem nhdsSet_le_iff [T1Space X] {s t : Set X} : 𝓝ˢ s ≤ 𝓝ˢ t ↔ s ⊆ t := by
refine ⟨?_, fun h => monotone_nhdsSet h⟩
simp_rw [Filter.le_def]; intro h x hx
specialize h {x}ᶜ
simp_rw [compl_singleton_mem_nhdsSet_iff] at h
by_contra hxt
exact h hxt hx
#align nhds_set_le_iff nhdsSet_le_iff
@[simp]
theorem nhdsSet_inj_iff [T1Space X] {s t : Set X} : 𝓝ˢ s = 𝓝ˢ t ↔ s = t := by
simp_rw [le_antisymm_iff]
exact and_congr nhdsSet_le_iff nhdsSet_le_iff
#align nhds_set_inj_iff nhdsSet_inj_iff
theorem injective_nhdsSet [T1Space X] : Function.Injective (𝓝ˢ : Set X → Filter X) := fun _ _ hst =>
nhdsSet_inj_iff.mp hst
#align injective_nhds_set injective_nhdsSet
theorem strictMono_nhdsSet [T1Space X] : StrictMono (𝓝ˢ : Set X → Filter X) :=
monotone_nhdsSet.strictMono_of_injective injective_nhdsSet
#align strict_mono_nhds_set strictMono_nhdsSet
@[simp]
theorem nhds_le_nhdsSet_iff [T1Space X] {s : Set X} {x : X} : 𝓝 x ≤ 𝓝ˢ s ↔ x ∈ s := by
rw [← nhdsSet_singleton, nhdsSet_le_iff, singleton_subset_iff]
#align nhds_le_nhds_set_iff nhds_le_nhdsSet_iff
theorem Dense.diff_singleton [T1Space X] {s : Set X} (hs : Dense s) (x : X) [NeBot (𝓝[≠] x)] :
Dense (s \ {x}) :=
hs.inter_of_isOpen_right (dense_compl_singleton x) isOpen_compl_singleton
#align dense.diff_singleton Dense.diff_singleton
theorem Dense.diff_finset [T1Space X] [∀ x : X, NeBot (𝓝[≠] x)] {s : Set X} (hs : Dense s)
(t : Finset X) : Dense (s \ t) := by
induction t using Finset.induction_on with
| empty => simpa using hs
| insert _ ih =>
rw [Finset.coe_insert, ← union_singleton, ← diff_diff]
exact ih.diff_singleton _
#align dense.diff_finset Dense.diff_finset
theorem Dense.diff_finite [T1Space X] [∀ x : X, NeBot (𝓝[≠] x)] {s : Set X} (hs : Dense s)
{t : Set X} (ht : t.Finite) : Dense (s \ t) := by
convert hs.diff_finset ht.toFinset
exact (Finite.coe_toFinset _).symm
#align dense.diff_finite Dense.diff_finite
theorem eq_of_tendsto_nhds [TopologicalSpace Y] [T1Space Y] {f : X → Y} {x : X} {y : Y}
(h : Tendsto f (𝓝 x) (𝓝 y)) : f x = y :=
by_contra fun hfa : f x ≠ y =>
have fact₁ : {f x}ᶜ ∈ 𝓝 y := compl_singleton_mem_nhds hfa.symm
have fact₂ : Tendsto f (pure x) (𝓝 y) := h.comp (tendsto_id'.2 <| pure_le_nhds x)
fact₂ fact₁ (Eq.refl <| f x)
#align eq_of_tendsto_nhds eq_of_tendsto_nhds
theorem Filter.Tendsto.eventually_ne [TopologicalSpace Y] [T1Space Y] {g : X → Y}
{l : Filter X} {b₁ b₂ : Y} (hg : Tendsto g l (𝓝 b₁)) (hb : b₁ ≠ b₂) : ∀ᶠ z in l, g z ≠ b₂ :=
hg.eventually (isOpen_compl_singleton.eventually_mem hb)
#align filter.tendsto.eventually_ne Filter.Tendsto.eventually_ne
theorem ContinuousAt.eventually_ne [TopologicalSpace Y] [T1Space Y] {g : X → Y} {x : X} {y : Y}
(hg1 : ContinuousAt g x) (hg2 : g x ≠ y) : ∀ᶠ z in 𝓝 x, g z ≠ y :=
hg1.tendsto.eventually_ne hg2
#align continuous_at.eventually_ne ContinuousAt.eventually_ne
theorem eventually_ne_nhds [T1Space X] {a b : X} (h : a ≠ b) : ∀ᶠ x in 𝓝 a, x ≠ b :=
IsOpen.eventually_mem isOpen_ne h
theorem eventually_ne_nhdsWithin [T1Space X] {a b : X} {s : Set X} (h : a ≠ b) :
∀ᶠ x in 𝓝[s] a, x ≠ b :=
Filter.Eventually.filter_mono nhdsWithin_le_nhds <| eventually_ne_nhds h
theorem continuousAt_of_tendsto_nhds [TopologicalSpace Y] [T1Space Y] {f : X → Y} {x : X} {y : Y}
(h : Tendsto f (𝓝 x) (𝓝 y)) : ContinuousAt f x := by
rwa [ContinuousAt, eq_of_tendsto_nhds h]
#align continuous_at_of_tendsto_nhds continuousAt_of_tendsto_nhds
@[simp]
theorem tendsto_const_nhds_iff [T1Space X] {l : Filter Y} [NeBot l] {c d : X} :
Tendsto (fun _ => c) l (𝓝 d) ↔ c = d := by simp_rw [Tendsto, Filter.map_const, pure_le_nhds_iff]
#align tendsto_const_nhds_iff tendsto_const_nhds_iff
theorem isOpen_singleton_of_finite_mem_nhds [T1Space X] (x : X)
{s : Set X} (hs : s ∈ 𝓝 x) (hsf : s.Finite) : IsOpen ({x} : Set X) := by
have A : {x} ⊆ s := by simp only [singleton_subset_iff, mem_of_mem_nhds hs]
have B : IsClosed (s \ {x}) := (hsf.subset diff_subset).isClosed
have C : (s \ {x})ᶜ ∈ 𝓝 x := B.isOpen_compl.mem_nhds fun h => h.2 rfl
have D : {x} ∈ 𝓝 x := by simpa only [← diff_eq, diff_diff_cancel_left A] using inter_mem hs C
rwa [← mem_interior_iff_mem_nhds, ← singleton_subset_iff, subset_interior_iff_isOpen] at D
#align is_open_singleton_of_finite_mem_nhds isOpen_singleton_of_finite_mem_nhds
theorem infinite_of_mem_nhds {X} [TopologicalSpace X] [T1Space X] (x : X) [hx : NeBot (𝓝[≠] x)]
{s : Set X} (hs : s ∈ 𝓝 x) : Set.Infinite s := by
refine fun hsf => hx.1 ?_
rw [← isOpen_singleton_iff_punctured_nhds]
exact isOpen_singleton_of_finite_mem_nhds x hs hsf
#align infinite_of_mem_nhds infinite_of_mem_nhds
theorem discrete_of_t1_of_finite [T1Space X] [Finite X] :
DiscreteTopology X := by
apply singletons_open_iff_discrete.mp
intro x
rw [← isClosed_compl_iff]
exact (Set.toFinite _).isClosed
#align discrete_of_t1_of_finite discrete_of_t1_of_finite
theorem PreconnectedSpace.trivial_of_discrete [PreconnectedSpace X] [DiscreteTopology X] :
Subsingleton X := by
rw [← not_nontrivial_iff_subsingleton]
rintro ⟨x, y, hxy⟩
rw [Ne, ← mem_singleton_iff, (isClopen_discrete _).eq_univ <| singleton_nonempty y] at hxy
exact hxy (mem_univ x)
#align preconnected_space.trivial_of_discrete PreconnectedSpace.trivial_of_discrete
theorem IsPreconnected.infinite_of_nontrivial [T1Space X] {s : Set X} (h : IsPreconnected s)
(hs : s.Nontrivial) : s.Infinite := by
refine mt (fun hf => (subsingleton_coe s).mp ?_) (not_subsingleton_iff.mpr hs)
haveI := @discrete_of_t1_of_finite s _ _ hf.to_subtype
exact @PreconnectedSpace.trivial_of_discrete _ _ (Subtype.preconnectedSpace h) _
#align is_preconnected.infinite_of_nontrivial IsPreconnected.infinite_of_nontrivial
theorem ConnectedSpace.infinite [ConnectedSpace X] [Nontrivial X] [T1Space X] : Infinite X :=
infinite_univ_iff.mp <| isPreconnected_univ.infinite_of_nontrivial nontrivial_univ
#align connected_space.infinite ConnectedSpace.infinite
instance (priority := 100) ConnectedSpace.neBot_nhdsWithin_compl_of_nontrivial_of_t1space
[ConnectedSpace X] [Nontrivial X] [T1Space X] (x : X) :
NeBot (𝓝[≠] x) := by
by_contra contra
rw [not_neBot, ← isOpen_singleton_iff_punctured_nhds] at contra
replace contra := nonempty_inter isOpen_compl_singleton
contra (compl_union_self _) (Set.nonempty_compl_of_nontrivial _) (singleton_nonempty _)
simp [compl_inter_self {x}] at contra
theorem SeparationQuotient.t1Space_iff : T1Space (SeparationQuotient X) ↔ R0Space X := by
rw [r0Space_iff, ((t1Space_TFAE (SeparationQuotient X)).out 0 9 :)]
constructor
· intro h x y xspecy
rw [← Inducing.specializes_iff inducing_mk, h xspecy] at *
· rintro h ⟨x⟩ ⟨y⟩ sxspecsy
have xspecy : x ⤳ y := (Inducing.specializes_iff inducing_mk).mp sxspecsy
have yspecx : y ⤳ x := h xspecy
erw [mk_eq_mk, inseparable_iff_specializes_and]
exact ⟨xspecy, yspecx⟩
theorem singleton_mem_nhdsWithin_of_mem_discrete {s : Set X} [DiscreteTopology s] {x : X}
(hx : x ∈ s) : {x} ∈ 𝓝[s] x := by
have : ({⟨x, hx⟩} : Set s) ∈ 𝓝 (⟨x, hx⟩ : s) := by simp [nhds_discrete]
simpa only [nhdsWithin_eq_map_subtype_coe hx, image_singleton] using
@image_mem_map _ _ _ ((↑) : s → X) _ this
#align singleton_mem_nhds_within_of_mem_discrete singleton_mem_nhdsWithin_of_mem_discrete
theorem nhdsWithin_of_mem_discrete {s : Set X} [DiscreteTopology s] {x : X} (hx : x ∈ s) :
𝓝[s] x = pure x :=
le_antisymm (le_pure_iff.2 <| singleton_mem_nhdsWithin_of_mem_discrete hx) (pure_le_nhdsWithin hx)
#align nhds_within_of_mem_discrete nhdsWithin_of_mem_discrete
| Mathlib/Topology/Separation.lean | 955 | 960 | theorem Filter.HasBasis.exists_inter_eq_singleton_of_mem_discrete {ι : Type*} {p : ι → Prop}
{t : ι → Set X} {s : Set X} [DiscreteTopology s] {x : X} (hb : (𝓝 x).HasBasis p t)
(hx : x ∈ s) : ∃ i, p i ∧ t i ∩ s = {x} := by |
rcases (nhdsWithin_hasBasis hb s).mem_iff.1 (singleton_mem_nhdsWithin_of_mem_discrete hx) with
⟨i, hi, hix⟩
exact ⟨i, hi, hix.antisymm <| singleton_subset_iff.2 ⟨mem_of_mem_nhds <| hb.mem_of_mem hi, hx⟩⟩
|
import Mathlib.Data.Set.Subsingleton
import Mathlib.Order.WithBot
#align_import data.set.image from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29"
universe u v
open Function Set
namespace Set
variable {α β γ : Type*} {ι ι' : Sort*}
section Preimage
variable {f : α → β} {g : β → γ}
@[simp]
theorem preimage_empty : f ⁻¹' ∅ = ∅ :=
rfl
#align set.preimage_empty Set.preimage_empty
theorem preimage_congr {f g : α → β} {s : Set β} (h : ∀ x : α, f x = g x) : f ⁻¹' s = g ⁻¹' s := by
congr with x
simp [h]
#align set.preimage_congr Set.preimage_congr
@[gcongr]
theorem preimage_mono {s t : Set β} (h : s ⊆ t) : f ⁻¹' s ⊆ f ⁻¹' t := fun _ hx => h hx
#align set.preimage_mono Set.preimage_mono
@[simp, mfld_simps]
theorem preimage_univ : f ⁻¹' univ = univ :=
rfl
#align set.preimage_univ Set.preimage_univ
theorem subset_preimage_univ {s : Set α} : s ⊆ f ⁻¹' univ :=
subset_univ _
#align set.subset_preimage_univ Set.subset_preimage_univ
@[simp, mfld_simps]
theorem preimage_inter {s t : Set β} : f ⁻¹' (s ∩ t) = f ⁻¹' s ∩ f ⁻¹' t :=
rfl
#align set.preimage_inter Set.preimage_inter
@[simp]
theorem preimage_union {s t : Set β} : f ⁻¹' (s ∪ t) = f ⁻¹' s ∪ f ⁻¹' t :=
rfl
#align set.preimage_union Set.preimage_union
@[simp]
theorem preimage_compl {s : Set β} : f ⁻¹' sᶜ = (f ⁻¹' s)ᶜ :=
rfl
#align set.preimage_compl Set.preimage_compl
@[simp]
theorem preimage_diff (f : α → β) (s t : Set β) : f ⁻¹' (s \ t) = f ⁻¹' s \ f ⁻¹' t :=
rfl
#align set.preimage_diff Set.preimage_diff
open scoped symmDiff in
@[simp]
lemma preimage_symmDiff {f : α → β} (s t : Set β) : f ⁻¹' (s ∆ t) = (f ⁻¹' s) ∆ (f ⁻¹' t) :=
rfl
#align set.preimage_symm_diff Set.preimage_symmDiff
@[simp]
theorem preimage_ite (f : α → β) (s t₁ t₂ : Set β) :
f ⁻¹' s.ite t₁ t₂ = (f ⁻¹' s).ite (f ⁻¹' t₁) (f ⁻¹' t₂) :=
rfl
#align set.preimage_ite Set.preimage_ite
@[simp]
theorem preimage_setOf_eq {p : α → Prop} {f : β → α} : f ⁻¹' { a | p a } = { a | p (f a) } :=
rfl
#align set.preimage_set_of_eq Set.preimage_setOf_eq
@[simp]
theorem preimage_id_eq : preimage (id : α → α) = id :=
rfl
#align set.preimage_id_eq Set.preimage_id_eq
@[mfld_simps]
theorem preimage_id {s : Set α} : id ⁻¹' s = s :=
rfl
#align set.preimage_id Set.preimage_id
@[simp, mfld_simps]
theorem preimage_id' {s : Set α} : (fun x => x) ⁻¹' s = s :=
rfl
#align set.preimage_id' Set.preimage_id'
@[simp]
theorem preimage_const_of_mem {b : β} {s : Set β} (h : b ∈ s) : (fun _ : α => b) ⁻¹' s = univ :=
eq_univ_of_forall fun _ => h
#align set.preimage_const_of_mem Set.preimage_const_of_mem
@[simp]
theorem preimage_const_of_not_mem {b : β} {s : Set β} (h : b ∉ s) : (fun _ : α => b) ⁻¹' s = ∅ :=
eq_empty_of_subset_empty fun _ hx => h hx
#align set.preimage_const_of_not_mem Set.preimage_const_of_not_mem
| Mathlib/Data/Set/Image.lean | 133 | 136 | theorem preimage_const (b : β) (s : Set β) [Decidable (b ∈ s)] :
(fun _ : α => b) ⁻¹' s = if b ∈ s then univ else ∅ := by |
split_ifs with hb
exacts [preimage_const_of_mem hb, preimage_const_of_not_mem hb]
|
import Mathlib.Algebra.Homology.Homotopy
import Mathlib.AlgebraicTopology.DoldKan.Notations
#align_import algebraic_topology.dold_kan.homotopies from "leanprover-community/mathlib"@"b12099d3b7febf4209824444dd836ef5ad96db55"
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Preadditive
CategoryTheory.SimplicialObject Homotopy Opposite Simplicial DoldKan
noncomputable section
namespace AlgebraicTopology
namespace DoldKan
variable {C : Type*} [Category C] [Preadditive C]
variable {X : SimplicialObject C}
abbrev c :=
ComplexShape.down ℕ
#align algebraic_topology.dold_kan.c AlgebraicTopology.DoldKan.c
theorem c_mk (i j : ℕ) (h : j + 1 = i) : c.Rel i j :=
ComplexShape.down_mk i j h
#align algebraic_topology.dold_kan.c_mk AlgebraicTopology.DoldKan.c_mk
theorem cs_down_0_not_rel_left (j : ℕ) : ¬c.Rel 0 j := by
intro hj
dsimp at hj
apply Nat.not_succ_le_zero j
rw [Nat.succ_eq_add_one, hj]
#align algebraic_topology.dold_kan.cs_down_0_not_rel_left AlgebraicTopology.DoldKan.cs_down_0_not_rel_left
def hσ (q : ℕ) (n : ℕ) : X _[n] ⟶ X _[n + 1] :=
if n < q then 0 else (-1 : ℤ) ^ (n - q) • X.σ ⟨n - q, Nat.lt_succ_of_le (Nat.sub_le _ _)⟩
#align algebraic_topology.dold_kan.hσ AlgebraicTopology.DoldKan.hσ
def hσ' (q : ℕ) : ∀ n m, c.Rel m n → (K[X].X n ⟶ K[X].X m) := fun n m hnm =>
hσ q n ≫ eqToHom (by congr)
#align algebraic_topology.dold_kan.hσ' AlgebraicTopology.DoldKan.hσ'
theorem hσ'_eq_zero {q n m : ℕ} (hnq : n < q) (hnm : c.Rel m n) :
(hσ' q n m hnm : X _[n] ⟶ X _[m]) = 0 := by
simp only [hσ', hσ]
split_ifs
exact zero_comp
#align algebraic_topology.dold_kan.hσ'_eq_zero AlgebraicTopology.DoldKan.hσ'_eq_zero
theorem hσ'_eq {q n a m : ℕ} (ha : n = a + q) (hnm : c.Rel m n) :
(hσ' q n m hnm : X _[n] ⟶ X _[m]) =
((-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩) ≫
eqToHom (by congr) := by
simp only [hσ', hσ]
split_ifs
· omega
· have h' := tsub_eq_of_eq_add ha
congr
#align algebraic_topology.dold_kan.hσ'_eq AlgebraicTopology.DoldKan.hσ'_eq
theorem hσ'_eq' {q n a : ℕ} (ha : n = a + q) :
(hσ' q n (n + 1) rfl : X _[n] ⟶ X _[n + 1]) =
(-1 : ℤ) ^ a • X.σ ⟨a, Nat.lt_succ_iff.mpr (Nat.le.intro (Eq.symm ha))⟩ := by
rw [hσ'_eq ha rfl, eqToHom_refl, comp_id]
#align algebraic_topology.dold_kan.hσ'_eq' AlgebraicTopology.DoldKan.hσ'_eq'
def Hσ (q : ℕ) : K[X] ⟶ K[X] :=
nullHomotopicMap' (hσ' q)
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Hσ AlgebraicTopology.DoldKan.hσ
def homotopyHσToZero (q : ℕ) : Homotopy (Hσ q : K[X] ⟶ K[X]) 0 :=
nullHomotopy' (hσ' q)
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.homotopy_Hσ_to_zero AlgebraicTopology.DoldKan.homotopyHσToZero
theorem Hσ_eq_zero (q : ℕ) : (Hσ q : K[X] ⟶ K[X]).f 0 = 0 := by
unfold Hσ
rw [nullHomotopicMap'_f_of_not_rel_left (c_mk 1 0 rfl) cs_down_0_not_rel_left]
rcases q with (_|q)
· rw [hσ'_eq (show 0 = 0 + 0 by rfl) (c_mk 1 0 rfl)]
simp only [pow_zero, Fin.mk_zero, one_zsmul, eqToHom_refl, Category.comp_id]
erw [ChainComplex.of_d]
rw [AlternatingFaceMapComplex.objD, Fin.sum_univ_two, Fin.val_zero, Fin.val_one, pow_zero,
pow_one, one_smul, neg_smul, one_smul, comp_add, comp_neg, add_neg_eq_zero]
erw [δ_comp_σ_self, δ_comp_σ_succ]
· rw [hσ'_eq_zero (Nat.succ_pos q) (c_mk 1 0 rfl), zero_comp]
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.Hσ_eq_zero AlgebraicTopology.DoldKan.Hσ_eq_zero
theorem hσ'_naturality (q : ℕ) (n m : ℕ) (hnm : c.Rel m n) {X Y : SimplicialObject C} (f : X ⟶ Y) :
f.app (op [n]) ≫ hσ' q n m hnm = hσ' q n m hnm ≫ f.app (op [m]) := by
have h : n + 1 = m := hnm
subst h
simp only [hσ', eqToHom_refl, comp_id]
unfold hσ
split_ifs
· rw [zero_comp, comp_zero]
· simp only [zsmul_comp, comp_zsmul]
erw [f.naturality]
rfl
#align algebraic_topology.dold_kan.hσ'_naturality AlgebraicTopology.DoldKan.hσ'_naturality
def natTransHσ (q : ℕ) : alternatingFaceMapComplex C ⟶ alternatingFaceMapComplex C where
app X := Hσ q
naturality _ _ f := by
unfold Hσ
rw [nullHomotopicMap'_comp, comp_nullHomotopicMap']
congr
ext n m hnm
simp only [alternatingFaceMapComplex_map_f, hσ'_naturality]
set_option linter.uppercaseLean3 false in
#align algebraic_topology.dold_kan.nat_trans_Hσ AlgebraicTopology.DoldKan.natTransHσ
| Mathlib/AlgebraicTopology/DoldKan/Homotopies.lean | 182 | 190 | theorem map_hσ' {D : Type*} [Category D] [Preadditive D] (G : C ⥤ D) [G.Additive]
(X : SimplicialObject C) (q n m : ℕ) (hnm : c.Rel m n) :
(hσ' q n m hnm : K[((whiskering _ _).obj G).obj X].X n ⟶ _) =
G.map (hσ' q n m hnm : K[X].X n ⟶ _) := by |
unfold hσ' hσ
split_ifs
· simp only [Functor.map_zero, zero_comp]
· simp only [eqToHom_map, Functor.map_comp, Functor.map_zsmul]
rfl
|
import Mathlib.Data.Set.Image
import Mathlib.Data.List.GetD
#align_import data.set.list from "leanprover-community/mathlib"@"2ec920d35348cb2d13ac0e1a2ad9df0fdf1a76b4"
open List
variable {α β : Type*} (l : List α)
namespace Set
theorem range_list_map (f : α → β) : range (map f) = { l | ∀ x ∈ l, x ∈ range f } := by
refine antisymm (range_subset_iff.2 fun l => forall_mem_map_iff.2 fun y _ => mem_range_self _)
fun l hl => ?_
induction' l with a l ihl; · exact ⟨[], rfl⟩
rcases ihl fun x hx => hl x <| subset_cons _ _ hx with ⟨l, rfl⟩
rcases hl a (mem_cons_self _ _) with ⟨a, rfl⟩
exact ⟨a :: l, map_cons _ _ _⟩
#align set.range_list_map Set.range_list_map
theorem range_list_map_coe (s : Set α) : range (map ((↑) : s → α)) = { l | ∀ x ∈ l, x ∈ s } := by
rw [range_list_map, Subtype.range_coe]
#align set.range_list_map_coe Set.range_list_map_coe
@[simp]
theorem range_list_get : range l.get = { x | x ∈ l } := by
ext x
rw [mem_setOf_eq, mem_iff_get, mem_range]
#align set.range_list_nth_le Set.range_list_get
@[deprecated (since := "2024-04-22")] alias range_list_nthLe := range_list_get
| Mathlib/Data/Set/List.lean | 44 | 48 | theorem range_list_get? : range l.get? = insert none (some '' { x | x ∈ l }) := by |
rw [← range_list_get, ← range_comp]
refine (range_subset_iff.2 fun n => ?_).antisymm (insert_subset_iff.2 ⟨?_, ?_⟩)
exacts [(le_or_lt l.length n).imp get?_eq_none.2 (fun hlt => ⟨⟨_, hlt⟩, (get?_eq_get hlt).symm⟩),
⟨_, get?_eq_none.2 le_rfl⟩, range_subset_iff.2 fun k => ⟨_, get?_eq_get _⟩]
|
import Mathlib.Algebra.BigOperators.Group.List
import Mathlib.Algebra.Group.Prod
import Mathlib.Data.Multiset.Basic
#align_import algebra.big_operators.multiset.basic from "leanprover-community/mathlib"@"6c5f73fd6f6cc83122788a80a27cdd54663609f4"
assert_not_exists MonoidWithZero
variable {F ι α β γ : Type*}
namespace Multiset
section CommMonoid
variable [CommMonoid α] [CommMonoid β] {s t : Multiset α} {a : α} {m : Multiset ι} {f g : ι → α}
@[to_additive
"Sum of a multiset given a commutative additive monoid structure on `α`.
`sum {a, b, c} = a + b + c`"]
def prod : Multiset α → α :=
foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1
#align multiset.prod Multiset.prod
#align multiset.sum Multiset.sum
@[to_additive]
theorem prod_eq_foldr (s : Multiset α) :
prod s = foldr (· * ·) (fun x y z => by simp [mul_left_comm]) 1 s :=
rfl
#align multiset.prod_eq_foldr Multiset.prod_eq_foldr
#align multiset.sum_eq_foldr Multiset.sum_eq_foldr
@[to_additive]
theorem prod_eq_foldl (s : Multiset α) :
prod s = foldl (· * ·) (fun x y z => by simp [mul_right_comm]) 1 s :=
(foldr_swap _ _ _ _).trans (by simp [mul_comm])
#align multiset.prod_eq_foldl Multiset.prod_eq_foldl
#align multiset.sum_eq_foldl Multiset.sum_eq_foldl
@[to_additive (attr := simp, norm_cast)]
theorem prod_coe (l : List α) : prod ↑l = l.prod :=
prod_eq_foldl _
#align multiset.coe_prod Multiset.prod_coe
#align multiset.coe_sum Multiset.sum_coe
@[to_additive (attr := simp)]
theorem prod_toList (s : Multiset α) : s.toList.prod = s.prod := by
conv_rhs => rw [← coe_toList s]
rw [prod_coe]
#align multiset.prod_to_list Multiset.prod_toList
#align multiset.sum_to_list Multiset.sum_toList
@[to_additive (attr := simp)]
theorem prod_zero : @prod α _ 0 = 1 :=
rfl
#align multiset.prod_zero Multiset.prod_zero
#align multiset.sum_zero Multiset.sum_zero
@[to_additive (attr := simp)]
theorem prod_cons (a : α) (s) : prod (a ::ₘ s) = a * prod s :=
foldr_cons _ _ _ _ _
#align multiset.prod_cons Multiset.prod_cons
#align multiset.sum_cons Multiset.sum_cons
@[to_additive (attr := simp)]
theorem prod_erase [DecidableEq α] (h : a ∈ s) : a * (s.erase a).prod = s.prod := by
rw [← s.coe_toList, coe_erase, prod_coe, prod_coe, List.prod_erase (mem_toList.2 h)]
#align multiset.prod_erase Multiset.prod_erase
#align multiset.sum_erase Multiset.sum_erase
@[to_additive (attr := simp)]
theorem prod_map_erase [DecidableEq ι] {a : ι} (h : a ∈ m) :
f a * ((m.erase a).map f).prod = (m.map f).prod := by
rw [← m.coe_toList, coe_erase, map_coe, map_coe, prod_coe, prod_coe,
List.prod_map_erase f (mem_toList.2 h)]
#align multiset.prod_map_erase Multiset.prod_map_erase
#align multiset.sum_map_erase Multiset.sum_map_erase
@[to_additive (attr := simp)]
theorem prod_singleton (a : α) : prod {a} = a := by
simp only [mul_one, prod_cons, ← cons_zero, eq_self_iff_true, prod_zero]
#align multiset.prod_singleton Multiset.prod_singleton
#align multiset.sum_singleton Multiset.sum_singleton
@[to_additive]
theorem prod_pair (a b : α) : ({a, b} : Multiset α).prod = a * b := by
rw [insert_eq_cons, prod_cons, prod_singleton]
#align multiset.prod_pair Multiset.prod_pair
#align multiset.sum_pair Multiset.sum_pair
@[to_additive (attr := simp)]
theorem prod_add (s t : Multiset α) : prod (s + t) = prod s * prod t :=
Quotient.inductionOn₂ s t fun l₁ l₂ => by simp
#align multiset.prod_add Multiset.prod_add
#align multiset.sum_add Multiset.sum_add
@[to_additive]
theorem prod_nsmul (m : Multiset α) : ∀ n : ℕ, (n • m).prod = m.prod ^ n
| 0 => by
rw [zero_nsmul, pow_zero]
rfl
| n + 1 => by rw [add_nsmul, one_nsmul, pow_add, pow_one, prod_add, prod_nsmul m n]
#align multiset.prod_nsmul Multiset.prod_nsmul
@[to_additive]
theorem prod_filter_mul_prod_filter_not (p) [DecidablePred p] :
(s.filter p).prod * (s.filter (fun a ↦ ¬ p a)).prod = s.prod := by
rw [← prod_add, filter_add_not]
@[to_additive (attr := simp)]
theorem prod_replicate (n : ℕ) (a : α) : (replicate n a).prod = a ^ n := by
simp [replicate, List.prod_replicate]
#align multiset.prod_replicate Multiset.prod_replicate
#align multiset.sum_replicate Multiset.sum_replicate
@[to_additive]
theorem prod_map_eq_pow_single [DecidableEq ι] (i : ι)
(hf : ∀ i' ≠ i, i' ∈ m → f i' = 1) : (m.map f).prod = f i ^ m.count i := by
induction' m using Quotient.inductionOn with l
simp [List.prod_map_eq_pow_single i f hf]
#align multiset.prod_map_eq_pow_single Multiset.prod_map_eq_pow_single
#align multiset.sum_map_eq_nsmul_single Multiset.sum_map_eq_nsmul_single
@[to_additive]
theorem prod_eq_pow_single [DecidableEq α] (a : α) (h : ∀ a' ≠ a, a' ∈ s → a' = 1) :
s.prod = a ^ s.count a := by
induction' s using Quotient.inductionOn with l
simp [List.prod_eq_pow_single a h]
#align multiset.prod_eq_pow_single Multiset.prod_eq_pow_single
#align multiset.sum_eq_nsmul_single Multiset.sum_eq_nsmul_single
@[to_additive]
lemma prod_eq_one (h : ∀ x ∈ s, x = (1 : α)) : s.prod = 1 := by
induction' s using Quotient.inductionOn with l; simp [List.prod_eq_one h]
#align multiset.prod_eq_one Multiset.prod_eq_one
#align multiset.sum_eq_zero Multiset.sum_eq_zero
@[to_additive]
| Mathlib/Algebra/BigOperators/Group/Multiset.lean | 158 | 159 | theorem pow_count [DecidableEq α] (a : α) : a ^ s.count a = (s.filter (Eq a)).prod := by |
rw [filter_eq, prod_replicate]
|
import Mathlib.NumberTheory.LegendreSymbol.QuadraticReciprocity
#align_import number_theory.legendre_symbol.jacobi_symbol from "leanprover-community/mathlib"@"74a27133cf29446a0983779e37c8f829a85368f3"
section Jacobi
open Nat ZMod
-- Since we need the fact that the factors are prime, we use `List.pmap`.
def jacobiSym (a : ℤ) (b : ℕ) : ℤ :=
(b.factors.pmap (fun p pp => @legendreSym p ⟨pp⟩ a) fun _ pf => prime_of_mem_factors pf).prod
#align jacobi_sym jacobiSym
-- Notation for the Jacobi symbol.
@[inherit_doc]
scoped[NumberTheorySymbols] notation "J(" a " | " b ")" => jacobiSym a b
-- Porting note: Without the following line, Lean expected `|` on several lines, e.g. line 102.
open NumberTheorySymbols
namespace jacobiSym
@[simp]
theorem zero_right (a : ℤ) : J(a | 0) = 1 := by
simp only [jacobiSym, factors_zero, List.prod_nil, List.pmap]
#align jacobi_sym.zero_right jacobiSym.zero_right
@[simp]
theorem one_right (a : ℤ) : J(a | 1) = 1 := by
simp only [jacobiSym, factors_one, List.prod_nil, List.pmap]
#align jacobi_sym.one_right jacobiSym.one_right
theorem legendreSym.to_jacobiSym (p : ℕ) [fp : Fact p.Prime] (a : ℤ) :
legendreSym p a = J(a | p) := by
simp only [jacobiSym, factors_prime fp.1, List.prod_cons, List.prod_nil, mul_one, List.pmap]
#align legendre_sym.to_jacobi_sym jacobiSym.legendreSym.to_jacobiSym
theorem mul_right' (a : ℤ) {b₁ b₂ : ℕ} (hb₁ : b₁ ≠ 0) (hb₂ : b₂ ≠ 0) :
J(a | b₁ * b₂) = J(a | b₁) * J(a | b₂) := by
rw [jacobiSym, ((perm_factors_mul hb₁ hb₂).pmap _).prod_eq, List.pmap_append, List.prod_append]
case h => exact fun p hp => (List.mem_append.mp hp).elim prime_of_mem_factors prime_of_mem_factors
case _ => rfl
#align jacobi_sym.mul_right' jacobiSym.mul_right'
theorem mul_right (a : ℤ) (b₁ b₂ : ℕ) [NeZero b₁] [NeZero b₂] :
J(a | b₁ * b₂) = J(a | b₁) * J(a | b₂) :=
mul_right' a (NeZero.ne b₁) (NeZero.ne b₂)
#align jacobi_sym.mul_right jacobiSym.mul_right
theorem trichotomy (a : ℤ) (b : ℕ) : J(a | b) = 0 ∨ J(a | b) = 1 ∨ J(a | b) = -1 :=
((@SignType.castHom ℤ _ _).toMonoidHom.mrange.copy {0, 1, -1} <| by
rw [Set.pair_comm];
exact (SignType.range_eq SignType.castHom).symm).list_prod_mem
(by
intro _ ha'
rcases List.mem_pmap.mp ha' with ⟨p, hp, rfl⟩
haveI : Fact p.Prime := ⟨prime_of_mem_factors hp⟩
exact quadraticChar_isQuadratic (ZMod p) a)
#align jacobi_sym.trichotomy jacobiSym.trichotomy
@[simp]
theorem one_left (b : ℕ) : J(1 | b) = 1 :=
List.prod_eq_one fun z hz => by
let ⟨p, hp, he⟩ := List.mem_pmap.1 hz
-- Porting note: The line 150 was added because Lean does not synthesize the instance
-- `[Fact (Nat.Prime p)]` automatically (it is needed for `legendreSym.at_one`)
letI : Fact p.Prime := ⟨prime_of_mem_factors hp⟩
rw [← he, legendreSym.at_one]
#align jacobi_sym.one_left jacobiSym.one_left
theorem mul_left (a₁ a₂ : ℤ) (b : ℕ) : J(a₁ * a₂ | b) = J(a₁ | b) * J(a₂ | b) := by
simp_rw [jacobiSym, List.pmap_eq_map_attach, legendreSym.mul _ _ _];
exact List.prod_map_mul (α := ℤ) (l := (factors b).attach)
(f := fun x ↦ @legendreSym x {out := prime_of_mem_factors x.2} a₁)
(g := fun x ↦ @legendreSym x {out := prime_of_mem_factors x.2} a₂)
#align jacobi_sym.mul_left jacobiSym.mul_left
theorem eq_zero_iff_not_coprime {a : ℤ} {b : ℕ} [NeZero b] : J(a | b) = 0 ↔ a.gcd b ≠ 1 :=
List.prod_eq_zero_iff.trans
(by
rw [List.mem_pmap, Int.gcd_eq_natAbs, Ne, Prime.not_coprime_iff_dvd]
-- Porting note: Initially, `and_assoc'` and `and_comm'` were used on line 164 but they have
-- been deprecated so we replace them with `and_assoc` and `and_comm`
simp_rw [legendreSym.eq_zero_iff _ _, intCast_zmod_eq_zero_iff_dvd,
mem_factors (NeZero.ne b), ← Int.natCast_dvd, Int.natCast_dvd_natCast, exists_prop,
and_assoc, and_comm])
#align jacobi_sym.eq_zero_iff_not_coprime jacobiSym.eq_zero_iff_not_coprime
protected theorem ne_zero {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) ≠ 0 := by
cases' eq_zero_or_neZero b with hb
· rw [hb, zero_right]
exact one_ne_zero
· contrapose! h; exact eq_zero_iff_not_coprime.1 h
#align jacobi_sym.ne_zero jacobiSym.ne_zero
theorem eq_zero_iff {a : ℤ} {b : ℕ} : J(a | b) = 0 ↔ b ≠ 0 ∧ a.gcd b ≠ 1 :=
⟨fun h => by
rcases eq_or_ne b 0 with hb | hb
· rw [hb, zero_right] at h; cases h
exact ⟨hb, mt jacobiSym.ne_zero <| Classical.not_not.2 h⟩, fun ⟨hb, h⟩ => by
rw [← neZero_iff] at hb; exact eq_zero_iff_not_coprime.2 h⟩
#align jacobi_sym.eq_zero_iff jacobiSym.eq_zero_iff
theorem zero_left {b : ℕ} (hb : 1 < b) : J(0 | b) = 0 :=
(@eq_zero_iff_not_coprime 0 b ⟨ne_zero_of_lt hb⟩).mpr <| by
rw [Int.gcd_zero_left, Int.natAbs_ofNat]; exact hb.ne'
#align jacobi_sym.zero_left jacobiSym.zero_left
theorem eq_one_or_neg_one {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) = 1 ∨ J(a | b) = -1 :=
(trichotomy a b).resolve_left <| jacobiSym.ne_zero h
#align jacobi_sym.eq_one_or_neg_one jacobiSym.eq_one_or_neg_one
theorem pow_left (a : ℤ) (e b : ℕ) : J(a ^ e | b) = J(a | b) ^ e :=
Nat.recOn e (by rw [_root_.pow_zero, _root_.pow_zero, one_left]) fun _ ih => by
rw [_root_.pow_succ, _root_.pow_succ, mul_left, ih]
#align jacobi_sym.pow_left jacobiSym.pow_left
theorem pow_right (a : ℤ) (b e : ℕ) : J(a | b ^ e) = J(a | b) ^ e := by
induction' e with e ih
· rw [Nat.pow_zero, _root_.pow_zero, one_right]
· cases' eq_zero_or_neZero b with hb
· rw [hb, zero_pow e.succ_ne_zero, zero_right, one_pow]
· rw [_root_.pow_succ, _root_.pow_succ, mul_right, ih]
#align jacobi_sym.pow_right jacobiSym.pow_right
theorem sq_one {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) ^ 2 = 1 := by
cases' eq_one_or_neg_one h with h₁ h₁ <;> rw [h₁] <;> rfl
#align jacobi_sym.sq_one jacobiSym.sq_one
theorem sq_one' {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a ^ 2 | b) = 1 := by rw [pow_left, sq_one h]
#align jacobi_sym.sq_one' jacobiSym.sq_one'
theorem mod_left (a : ℤ) (b : ℕ) : J(a | b) = J(a % b | b) :=
congr_arg List.prod <|
List.pmap_congr _
(by
-- Porting note: Lean does not synthesize the instance [Fact (Nat.Prime p)] automatically
-- (it is needed for `legendreSym.mod` on line 227). Thus, we name the hypothesis
-- `Nat.Prime p` explicitly on line 224 and prove `Fact (Nat.Prime p)` on line 225.
rintro p hp _ h₂
letI : Fact p.Prime := ⟨h₂⟩
conv_rhs =>
rw [legendreSym.mod, Int.emod_emod_of_dvd _ (Int.natCast_dvd_natCast.2 <|
dvd_of_mem_factors hp), ← legendreSym.mod])
#align jacobi_sym.mod_left jacobiSym.mod_left
theorem mod_left' {a₁ a₂ : ℤ} {b : ℕ} (h : a₁ % b = a₂ % b) : J(a₁ | b) = J(a₂ | b) := by
rw [mod_left, h, ← mod_left]
#align jacobi_sym.mod_left' jacobiSym.mod_left'
theorem prime_dvd_of_eq_neg_one {p : ℕ} [Fact p.Prime] {a : ℤ} (h : J(a | p) = -1) {x y : ℤ}
(hxy : ↑p ∣ (x ^ 2 - a * y ^ 2 : ℤ)) : ↑p ∣ x ∧ ↑p ∣ y := by
rw [← legendreSym.to_jacobiSym] at h
exact legendreSym.prime_dvd_of_eq_neg_one h hxy
#align jacobi_sym.prime_dvd_of_eq_neg_one jacobiSym.prime_dvd_of_eq_neg_one
| Mathlib/NumberTheory/LegendreSymbol/JacobiSymbol.lean | 259 | 262 | theorem list_prod_left {l : List ℤ} {n : ℕ} : J(l.prod | n) = (l.map fun a => J(a | n)).prod := by |
induction' l with n l' ih
· simp only [List.prod_nil, List.map_nil, one_left]
· rw [List.map, List.prod_cons, List.prod_cons, mul_left, ih]
|
import Mathlib.Analysis.SpecialFunctions.Gamma.Basic
import Mathlib.Analysis.SpecialFunctions.PolarCoord
import Mathlib.Analysis.Convex.Complex
#align_import analysis.special_functions.gaussian from "leanprover-community/mathlib"@"7982767093ae38cba236487f9c9dd9cd99f63c16"
noncomputable section
open Real Set MeasureTheory Filter Asymptotics
open scoped Real Topology
open Complex hiding exp abs_of_nonneg
theorem exp_neg_mul_rpow_isLittleO_exp_neg {p b : ℝ} (hb : 0 < b) (hp : 1 < p) :
(fun x : ℝ => exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-x) := by
rw [isLittleO_exp_comp_exp_comp]
suffices Tendsto (fun x => x * (b * x ^ (p - 1) + -1)) atTop atTop by
refine Tendsto.congr' ?_ this
refine eventuallyEq_of_mem (Ioi_mem_atTop (0 : ℝ)) (fun x hx => ?_)
rw [mem_Ioi] at hx
rw [rpow_sub_one hx.ne']
field_simp [hx.ne']
ring
apply Tendsto.atTop_mul_atTop tendsto_id
refine tendsto_atTop_add_const_right atTop (-1 : ℝ) ?_
exact Tendsto.const_mul_atTop hb (tendsto_rpow_atTop (by linarith))
theorem exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) :
(fun x : ℝ => exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-x) := by
simp_rw [← rpow_two]
exact exp_neg_mul_rpow_isLittleO_exp_neg hb one_lt_two
#align exp_neg_mul_sq_is_o_exp_neg exp_neg_mul_sq_isLittleO_exp_neg
theorem rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg (s : ℝ) {b p : ℝ} (hp : 1 < p) (hb : 0 < b) :
(fun x : ℝ => x ^ s * exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by
apply ((isBigO_refl (fun x : ℝ => x ^ s) atTop).mul_isLittleO
(exp_neg_mul_rpow_isLittleO_exp_neg hb hp)).trans
simpa only [mul_comm] using Real.Gamma_integrand_isLittleO s
theorem rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) (s : ℝ) :
(fun x : ℝ => x ^ s * exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by
simp_rw [← rpow_two]
exact rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s one_lt_two hb
#align rpow_mul_exp_neg_mul_sq_is_o_exp_neg rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg
theorem integrableOn_rpow_mul_exp_neg_rpow {p s : ℝ} (hs : -1 < s) (hp : 1 ≤ p) :
IntegrableOn (fun x : ℝ => x ^ s * exp (- x ^ p)) (Ioi 0) := by
obtain hp | hp := le_iff_lt_or_eq.mp hp
· have h_exp : ∀ x, ContinuousAt (fun x => exp (- x)) x := fun x => continuousAt_neg.rexp
rw [← Ioc_union_Ioi_eq_Ioi zero_le_one, integrableOn_union]
constructor
· rw [← integrableOn_Icc_iff_integrableOn_Ioc]
refine IntegrableOn.mul_continuousOn ?_ ?_ isCompact_Icc
· refine (intervalIntegrable_iff_integrableOn_Icc_of_le zero_le_one).mp ?_
exact intervalIntegral.intervalIntegrable_rpow' hs
· intro x _
change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Icc 0 1) x
refine ContinuousAt.comp_continuousWithinAt (h_exp _) ?_
exact continuousWithinAt_id.rpow_const (Or.inr (le_of_lt (lt_trans zero_lt_one hp)))
· have h_rpow : ∀ (x r : ℝ), x ∈ Ici 1 → ContinuousWithinAt (fun x => x ^ r) (Ici 1) x := by
intro _ _ hx
refine continuousWithinAt_id.rpow_const (Or.inl ?_)
exact ne_of_gt (lt_of_lt_of_le zero_lt_one hx)
refine integrable_of_isBigO_exp_neg (by norm_num : (0:ℝ) < 1 / 2)
(ContinuousOn.mul (fun x hx => h_rpow x s hx) (fun x hx => ?_)) (IsLittleO.isBigO ?_)
· change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Ici 1) x
exact ContinuousAt.comp_continuousWithinAt (h_exp _) (h_rpow x p hx)
· convert rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s hp (by norm_num : (0:ℝ) < 1) using 3
rw [neg_mul, one_mul]
· simp_rw [← hp, Real.rpow_one]
convert Real.GammaIntegral_convergent (by linarith : 0 < s + 1) using 2
rw [add_sub_cancel_right, mul_comm]
theorem integrableOn_rpow_mul_exp_neg_mul_rpow {p s b : ℝ} (hs : -1 < s) (hp : 1 ≤ p) (hb : 0 < b) :
IntegrableOn (fun x : ℝ => x ^ s * exp (- b * x ^ p)) (Ioi 0) := by
have hib : 0 < b ^ (-p⁻¹) := rpow_pos_of_pos hb _
suffices IntegrableOn (fun x ↦ (b ^ (-p⁻¹)) ^ s * (x ^ s * exp (-x ^ p))) (Ioi 0) by
rw [show 0 = b ^ (-p⁻¹) * 0 by rw [mul_zero], ← integrableOn_Ioi_comp_mul_left_iff _ _ hib]
refine this.congr_fun (fun _ hx => ?_) measurableSet_Ioi
rw [← mul_assoc, mul_rpow, mul_rpow, ← rpow_mul (z := p), neg_mul, neg_mul, inv_mul_cancel,
rpow_neg_one, mul_inv_cancel_left₀]
all_goals linarith [mem_Ioi.mp hx]
refine Integrable.const_mul ?_ _
rw [← IntegrableOn]
exact integrableOn_rpow_mul_exp_neg_rpow hs hp
theorem integrableOn_rpow_mul_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) {s : ℝ} (hs : -1 < s) :
IntegrableOn (fun x : ℝ => x ^ s * exp (-b * x ^ 2)) (Ioi 0) := by
simp_rw [← rpow_two]
exact integrableOn_rpow_mul_exp_neg_mul_rpow hs one_le_two hb
#align integrable_on_rpow_mul_exp_neg_mul_sq integrableOn_rpow_mul_exp_neg_mul_sq
theorem integrable_rpow_mul_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) {s : ℝ} (hs : -1 < s) :
Integrable fun x : ℝ => x ^ s * exp (-b * x ^ 2) := by
rw [← integrableOn_univ, ← @Iio_union_Ici _ _ (0 : ℝ), integrableOn_union,
integrableOn_Ici_iff_integrableOn_Ioi]
refine ⟨?_, integrableOn_rpow_mul_exp_neg_mul_sq hb hs⟩
rw [← (Measure.measurePreserving_neg (volume : Measure ℝ)).integrableOn_comp_preimage
(Homeomorph.neg ℝ).measurableEmbedding]
simp only [Function.comp, neg_sq, neg_preimage, preimage_neg_Iio, neg_neg, neg_zero]
apply Integrable.mono' (integrableOn_rpow_mul_exp_neg_mul_sq hb hs)
· apply Measurable.aestronglyMeasurable
exact (measurable_id'.neg.pow measurable_const).mul
((measurable_id'.pow measurable_const).const_mul (-b)).exp
· have : MeasurableSet (Ioi (0 : ℝ)) := measurableSet_Ioi
filter_upwards [ae_restrict_mem this] with x hx
have h'x : 0 ≤ x := le_of_lt hx
rw [Real.norm_eq_abs, abs_mul, abs_of_nonneg (exp_pos _).le]
apply mul_le_mul_of_nonneg_right _ (exp_pos _).le
simpa [abs_of_nonneg h'x] using abs_rpow_le_abs_rpow (-x) s
#align integrable_rpow_mul_exp_neg_mul_sq integrable_rpow_mul_exp_neg_mul_sq
theorem integrable_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) :
Integrable fun x : ℝ => exp (-b * x ^ 2) := by
simpa using integrable_rpow_mul_exp_neg_mul_sq hb (by norm_num : (-1 : ℝ) < 0)
#align integrable_exp_neg_mul_sq integrable_exp_neg_mul_sq
theorem integrableOn_Ioi_exp_neg_mul_sq_iff {b : ℝ} :
IntegrableOn (fun x : ℝ => exp (-b * x ^ 2)) (Ioi 0) ↔ 0 < b := by
refine ⟨fun h => ?_, fun h => (integrable_exp_neg_mul_sq h).integrableOn⟩
by_contra! hb
have : ∫⁻ _ : ℝ in Ioi 0, 1 ≤ ∫⁻ x : ℝ in Ioi 0, ‖exp (-b * x ^ 2)‖₊ := by
apply lintegral_mono (fun x ↦ _)
simp only [neg_mul, ENNReal.one_le_coe_iff, ← toNNReal_one, toNNReal_le_iff_le_coe,
Real.norm_of_nonneg (exp_pos _).le, coe_nnnorm, one_le_exp_iff, Right.nonneg_neg_iff]
exact fun x ↦ mul_nonpos_of_nonpos_of_nonneg hb (sq_nonneg x)
simpa using this.trans_lt h.2
#align integrable_on_Ioi_exp_neg_mul_sq_iff integrableOn_Ioi_exp_neg_mul_sq_iff
theorem integrable_exp_neg_mul_sq_iff {b : ℝ} :
(Integrable fun x : ℝ => exp (-b * x ^ 2)) ↔ 0 < b :=
⟨fun h => integrableOn_Ioi_exp_neg_mul_sq_iff.mp h.integrableOn, integrable_exp_neg_mul_sq⟩
#align integrable_exp_neg_mul_sq_iff integrable_exp_neg_mul_sq_iff
theorem integrable_mul_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) :
Integrable fun x : ℝ => x * exp (-b * x ^ 2) := by
simpa using integrable_rpow_mul_exp_neg_mul_sq hb (by norm_num : (-1 : ℝ) < 1)
#align integrable_mul_exp_neg_mul_sq integrable_mul_exp_neg_mul_sq
theorem norm_cexp_neg_mul_sq (b : ℂ) (x : ℝ) :
‖Complex.exp (-b * (x : ℂ) ^ 2)‖ = exp (-b.re * x ^ 2) := by
rw [Complex.norm_eq_abs, Complex.abs_exp, ← ofReal_pow, mul_comm (-b) _, re_ofReal_mul, neg_re,
mul_comm]
#align norm_cexp_neg_mul_sq norm_cexp_neg_mul_sq
theorem integrable_cexp_neg_mul_sq {b : ℂ} (hb : 0 < b.re) :
Integrable fun x : ℝ => cexp (-b * (x : ℂ) ^ 2) := by
refine ⟨(Complex.continuous_exp.comp
(continuous_const.mul (continuous_ofReal.pow 2))).aestronglyMeasurable, ?_⟩
rw [← hasFiniteIntegral_norm_iff]
simp_rw [norm_cexp_neg_mul_sq]
exact (integrable_exp_neg_mul_sq hb).2
#align integrable_cexp_neg_mul_sq integrable_cexp_neg_mul_sq
theorem integrable_mul_cexp_neg_mul_sq {b : ℂ} (hb : 0 < b.re) :
Integrable fun x : ℝ => ↑x * cexp (-b * (x : ℂ) ^ 2) := by
refine ⟨(continuous_ofReal.mul (Complex.continuous_exp.comp ?_)).aestronglyMeasurable, ?_⟩
· exact continuous_const.mul (continuous_ofReal.pow 2)
have := (integrable_mul_exp_neg_mul_sq hb).hasFiniteIntegral
rw [← hasFiniteIntegral_norm_iff] at this ⊢
convert this
rw [norm_mul, norm_mul, norm_cexp_neg_mul_sq b, Complex.norm_eq_abs, abs_ofReal, Real.norm_eq_abs,
norm_of_nonneg (exp_pos _).le]
#align integrable_mul_cexp_neg_mul_sq integrable_mul_cexp_neg_mul_sq
theorem integral_mul_cexp_neg_mul_sq {b : ℂ} (hb : 0 < b.re) :
∫ r : ℝ in Ioi 0, (r : ℂ) * cexp (-b * (r : ℂ) ^ 2) = (2 * b)⁻¹ := by
have hb' : b ≠ 0 := by contrapose! hb; rw [hb, zero_re]
have A : ∀ x : ℂ, HasDerivAt (fun x => -(2 * b)⁻¹ * cexp (-b * x ^ 2))
(x * cexp (-b * x ^ 2)) x := by
intro x
convert ((hasDerivAt_pow 2 x).const_mul (-b)).cexp.const_mul (-(2 * b)⁻¹) using 1
field_simp [hb']
ring
have B : Tendsto (fun y : ℝ ↦ -(2 * b)⁻¹ * cexp (-b * (y : ℂ) ^ 2))
atTop (𝓝 (-(2 * b)⁻¹ * 0)) := by
refine Tendsto.const_mul _ (tendsto_zero_iff_norm_tendsto_zero.mpr ?_)
simp_rw [norm_cexp_neg_mul_sq b]
exact tendsto_exp_atBot.comp
((tendsto_pow_atTop two_ne_zero).const_mul_atTop_of_neg (neg_lt_zero.2 hb))
convert integral_Ioi_of_hasDerivAt_of_tendsto' (fun x _ => (A ↑x).comp_ofReal)
(integrable_mul_cexp_neg_mul_sq hb).integrableOn B using 1
simp only [mul_zero, ofReal_zero, zero_pow, Ne, bit0_eq_zero, Nat.one_ne_zero,
not_false_iff, Complex.exp_zero, mul_one, sub_neg_eq_add, zero_add]
#align integral_mul_cexp_neg_mul_sq integral_mul_cexp_neg_mul_sq
theorem integral_gaussian_sq_complex {b : ℂ} (hb : 0 < b.re) :
(∫ x : ℝ, cexp (-b * (x : ℂ) ^ 2)) ^ 2 = π / b := by
calc
(∫ x : ℝ, cexp (-b * (x : ℂ) ^ 2)) ^ 2 =
∫ p : ℝ × ℝ, cexp (-b * (p.1 : ℂ) ^ 2) * cexp (-b * (p.2 : ℂ) ^ 2) := by
rw [pow_two, ← integral_prod_mul]; rfl
_ = ∫ p : ℝ × ℝ, cexp (-b * ((p.1 : ℂ)^ 2 + (p.2 : ℂ) ^ 2)) := by
congr
ext1 p
rw [← Complex.exp_add, mul_add]
_ = ∫ p in polarCoord.target, p.1 •
cexp (-b * ((p.1 * Complex.cos p.2) ^ 2 + (p.1 * Complex.sin p.2) ^ 2)) := by
rw [← integral_comp_polarCoord_symm]
simp only [polarCoord_symm_apply, ofReal_mul, ofReal_cos, ofReal_sin]
_ = (∫ r in Ioi (0 : ℝ), r * cexp (-b * (r : ℂ) ^ 2)) * ∫ θ in Ioo (-π) π, 1 := by
rw [← setIntegral_prod_mul]
congr with p : 1
rw [mul_one]
congr
conv_rhs => rw [← one_mul ((p.1 : ℂ) ^ 2), ← sin_sq_add_cos_sq (p.2 : ℂ)]
ring
_ = ↑π / b := by
have : 0 ≤ π + π := by linarith [Real.pi_pos]
simp only [integral_const, Measure.restrict_apply', measurableSet_Ioo, univ_inter, volume_Ioo,
sub_neg_eq_add, ENNReal.toReal_ofReal, this]
rw [← two_mul, real_smul, mul_one, ofReal_mul, ofReal_ofNat, integral_mul_cexp_neg_mul_sq hb]
field_simp [(by contrapose! hb; rw [hb, zero_re] : b ≠ 0)]
ring
#align integral_gaussian_sq_complex integral_gaussian_sq_complex
theorem integral_gaussian (b : ℝ) : ∫ x : ℝ, exp (-b * x ^ 2) = √(π / b) := by
-- First we deal with the crazy case where `b ≤ 0`: then both sides vanish.
rcases le_or_lt b 0 with (hb | hb)
· rw [integral_undef, sqrt_eq_zero_of_nonpos]
· exact div_nonpos_of_nonneg_of_nonpos pi_pos.le hb
· simpa only [not_lt, integrable_exp_neg_mul_sq_iff] using hb
-- Assume now `b > 0`. Then both sides are non-negative and their squares agree.
refine (sq_eq_sq (by positivity) (by positivity)).1 ?_
rw [← ofReal_inj, ofReal_pow, ← coe_algebraMap, RCLike.algebraMap_eq_ofReal, ← integral_ofReal,
sq_sqrt (div_pos pi_pos hb).le, ← RCLike.algebraMap_eq_ofReal, coe_algebraMap, ofReal_div]
convert integral_gaussian_sq_complex (by rwa [ofReal_re] : 0 < (b : ℂ).re) with _ x
rw [ofReal_exp, ofReal_mul, ofReal_pow, ofReal_neg]
#align integral_gaussian integral_gaussian
theorem continuousAt_gaussian_integral (b : ℂ) (hb : 0 < re b) :
ContinuousAt (fun c : ℂ => ∫ x : ℝ, cexp (-c * (x : ℂ) ^ 2)) b := by
let f : ℂ → ℝ → ℂ := fun (c : ℂ) (x : ℝ) => cexp (-c * (x : ℂ) ^ 2)
obtain ⟨d, hd, hd'⟩ := exists_between hb
have f_meas : ∀ c : ℂ, AEStronglyMeasurable (f c) volume := fun c => by
apply Continuous.aestronglyMeasurable
exact Complex.continuous_exp.comp (continuous_const.mul (continuous_ofReal.pow 2))
have f_cts : ∀ x : ℝ, ContinuousAt (fun c => f c x) b := fun x =>
(Complex.continuous_exp.comp (continuous_id'.neg.mul continuous_const)).continuousAt
have f_le_bd : ∀ᶠ c : ℂ in 𝓝 b, ∀ᵐ x : ℝ, ‖f c x‖ ≤ exp (-d * x ^ 2) := by
refine eventually_of_mem ((continuous_re.isOpen_preimage _ isOpen_Ioi).mem_nhds hd') ?_
intro c hc; filter_upwards with x
rw [norm_cexp_neg_mul_sq]
gcongr
exact le_of_lt hc
exact
continuousAt_of_dominated (eventually_of_forall f_meas) f_le_bd (integrable_exp_neg_mul_sq hd)
(ae_of_all _ f_cts)
#align continuous_at_gaussian_integral continuousAt_gaussian_integral
theorem integral_gaussian_complex {b : ℂ} (hb : 0 < re b) :
∫ x : ℝ, cexp (-b * (x : ℂ) ^ 2) = (π / b) ^ (1 / 2 : ℂ) := by
have nv : ∀ {b : ℂ}, 0 < re b → b ≠ 0 := by intro b hb; contrapose! hb; rw [hb]; simp
apply
(convex_halfspace_re_gt 0).isPreconnected.eq_of_sq_eq ?_ ?_ (fun c hc => ?_) (fun {c} hc => ?_)
(by simp : 0 < re (1 : ℂ)) ?_ hb
· -- integral is continuous
exact ContinuousAt.continuousOn continuousAt_gaussian_integral
· -- `(π / b) ^ (1 / 2 : ℂ)` is continuous
refine
ContinuousAt.continuousOn fun b hb =>
(continuousAt_cpow_const (Or.inl ?_)).comp (continuousAt_const.div continuousAt_id (nv hb))
rw [div_re, ofReal_im, ofReal_re, zero_mul, zero_div, add_zero]
exact div_pos (mul_pos pi_pos hb) (normSq_pos.mpr (nv hb))
· -- equality at 1
have : ∀ x : ℝ, cexp (-(1 : ℂ) * (x : ℂ) ^ 2) = exp (-(1 : ℝ) * x ^ 2) := by
intro x
simp only [ofReal_exp, neg_mul, one_mul, ofReal_neg, ofReal_pow]
simp_rw [this, ← coe_algebraMap, RCLike.algebraMap_eq_ofReal, integral_ofReal,
← RCLike.algebraMap_eq_ofReal, coe_algebraMap]
conv_rhs =>
congr
· rw [← ofReal_one, ← ofReal_div]
· rw [← ofReal_one, ← ofReal_ofNat, ← ofReal_div]
rw [← ofReal_cpow, ofReal_inj]
· convert integral_gaussian (1 : ℝ) using 1
rw [sqrt_eq_rpow]
· rw [div_one]; exact pi_pos.le
· -- squares of both sides agree
dsimp only [Pi.pow_apply]
rw [integral_gaussian_sq_complex hc, sq]
conv_lhs => rw [← cpow_one (↑π / c)]
rw [← cpow_add _ _ (div_ne_zero (ofReal_ne_zero.mpr pi_ne_zero) (nv hc))]
norm_num
· -- RHS doesn't vanish
rw [Ne, cpow_eq_zero_iff, not_and_or]
exact Or.inl (div_ne_zero (ofReal_ne_zero.mpr pi_ne_zero) (nv hc))
#align integral_gaussian_complex integral_gaussian_complex
-- The Gaussian integral on the half-line, `∫ x in Ioi 0, exp (-b * x^2)`, for complex `b`.
theorem integral_gaussian_complex_Ioi {b : ℂ} (hb : 0 < re b) :
∫ x : ℝ in Ioi 0, cexp (-b * (x : ℂ) ^ 2) = (π / b) ^ (1 / 2 : ℂ) / 2 := by
have full_integral := integral_gaussian_complex hb
have : MeasurableSet (Ioi (0 : ℝ)) := measurableSet_Ioi
rw [← integral_add_compl this (integrable_cexp_neg_mul_sq hb), compl_Ioi] at full_integral
suffices ∫ x : ℝ in Iic 0, cexp (-b * (x : ℂ) ^ 2) = ∫ x : ℝ in Ioi 0, cexp (-b * (x : ℂ) ^ 2) by
rw [this, ← mul_two] at full_integral
rwa [eq_div_iff]; exact two_ne_zero
have : ∀ c : ℝ, ∫ x in (0 : ℝ)..c, cexp (-b * (x : ℂ) ^ 2) =
∫ x in -c..0, cexp (-b * (x : ℂ) ^ 2) := by
intro c
have := intervalIntegral.integral_comp_sub_left (a := 0) (b := c)
(fun x => cexp (-b * (x : ℂ) ^ 2)) 0
simpa [zero_sub, neg_sq, neg_zero] using this
have t1 :=
intervalIntegral_tendsto_integral_Ioi 0 (integrable_cexp_neg_mul_sq hb).integrableOn tendsto_id
have t2 :
Tendsto (fun c : ℝ => ∫ x : ℝ in (0 : ℝ)..c, cexp (-b * (x : ℂ) ^ 2)) atTop
(𝓝 (∫ x : ℝ in Iic 0, cexp (-b * (x : ℂ) ^ 2))) := by
simp_rw [this]
refine intervalIntegral_tendsto_integral_Iic _ ?_ tendsto_neg_atTop_atBot
apply (integrable_cexp_neg_mul_sq hb).integrableOn
exact tendsto_nhds_unique t2 t1
#align integral_gaussian_complex_Ioi integral_gaussian_complex_Ioi
-- The Gaussian integral on the half-line, `∫ x in Ioi 0, exp (-b * x^2)`, for real `b`.
| Mathlib/Analysis/SpecialFunctions/Gaussian/GaussianIntegral.lean | 338 | 350 | theorem integral_gaussian_Ioi (b : ℝ) :
∫ x in Ioi (0 : ℝ), exp (-b * x ^ 2) = √(π / b) / 2 := by |
rcases le_or_lt b 0 with (hb | hb)
· rw [integral_undef, sqrt_eq_zero_of_nonpos, zero_div]
· exact div_nonpos_of_nonneg_of_nonpos pi_pos.le hb
· rwa [← IntegrableOn, integrableOn_Ioi_exp_neg_mul_sq_iff, not_lt]
rw [← RCLike.ofReal_inj (K := ℂ), ← integral_ofReal, ← RCLike.algebraMap_eq_ofReal,
coe_algebraMap]
convert integral_gaussian_complex_Ioi (by rwa [ofReal_re] : 0 < (b : ℂ).re)
· simp
· rw [sqrt_eq_rpow, ← ofReal_div, ofReal_div, ofReal_cpow]
· norm_num
· exact (div_pos pi_pos hb).le
|
import Mathlib.Algebra.Group.Subgroup.Pointwise
import Mathlib.Data.ZMod.Basic
import Mathlib.GroupTheory.GroupAction.ConjAct
import Mathlib.LinearAlgebra.Matrix.SpecialLinearGroup
#align_import number_theory.modular_forms.congruence_subgroups from "leanprover-community/mathlib"@"ae690b0c236e488a0043f6faa8ce3546e7f2f9c5"
local notation "SL(" n ", " R ")" => Matrix.SpecialLinearGroup (Fin n) R
attribute [-instance] Matrix.SpecialLinearGroup.instCoeFun
local notation:1024 "↑ₘ" A:1024 => ((A : SL(2, ℤ)) : Matrix (Fin 2) (Fin 2) ℤ)
open Matrix.SpecialLinearGroup Matrix
variable (N : ℕ)
local notation "SLMOD(" N ")" =>
@Matrix.SpecialLinearGroup.map (Fin 2) _ _ _ _ _ _ (Int.castRingHom (ZMod N))
set_option linter.uppercaseLean3 false
@[simp]
theorem SL_reduction_mod_hom_val (N : ℕ) (γ : SL(2, ℤ)) :
∀ i j : Fin 2, (SLMOD(N) γ : Matrix (Fin 2) (Fin 2) (ZMod N)) i j = ((↑ₘγ i j : ℤ) : ZMod N) :=
fun _ _ => rfl
#align SL_reduction_mod_hom_val SL_reduction_mod_hom_val
def Gamma (N : ℕ) : Subgroup SL(2, ℤ) :=
SLMOD(N).ker
#align Gamma Gamma
theorem Gamma_mem' (N : ℕ) (γ : SL(2, ℤ)) : γ ∈ Gamma N ↔ SLMOD(N) γ = 1 :=
Iff.rfl
#align Gamma_mem' Gamma_mem'
@[simp]
theorem Gamma_mem (N : ℕ) (γ : SL(2, ℤ)) : γ ∈ Gamma N ↔ ((↑ₘγ 0 0 : ℤ) : ZMod N) = 1 ∧
((↑ₘγ 0 1 : ℤ) : ZMod N) = 0 ∧ ((↑ₘγ 1 0 : ℤ) : ZMod N) = 0 ∧ ((↑ₘγ 1 1 : ℤ) : ZMod N) = 1 := by
rw [Gamma_mem']
constructor
· intro h
simp [← SL_reduction_mod_hom_val N γ, h]
· intro h
ext i j
rw [SL_reduction_mod_hom_val N γ]
fin_cases i <;> fin_cases j <;> simp only [h]
exacts [h.1, h.2.1, h.2.2.1, h.2.2.2]
#align Gamma_mem Gamma_mem
theorem Gamma_normal (N : ℕ) : Subgroup.Normal (Gamma N) :=
SLMOD(N).normal_ker
#align Gamma_normal Gamma_normal
theorem Gamma_one_top : Gamma 1 = ⊤ := by
ext
simp [eq_iff_true_of_subsingleton]
#align Gamma_one_top Gamma_one_top
theorem Gamma_zero_bot : Gamma 0 = ⊥ := by
ext
simp only [Gamma_mem, coe_matrix_coe, Int.coe_castRingHom, map_apply, Int.cast_id,
Subgroup.mem_bot]
constructor
· intro h
ext i j
fin_cases i <;> fin_cases j <;> simp only [h]
exacts [h.1, h.2.1, h.2.2.1, h.2.2.2]
· intro h
simp [h]
#align Gamma_zero_bot Gamma_zero_bot
lemma ModularGroup_T_pow_mem_Gamma (N M : ℤ) (hNM : N ∣ M) :
(ModularGroup.T ^ M) ∈ _root_.Gamma (Int.natAbs N) := by
simp only [Gamma_mem, Fin.isValue, ModularGroup.coe_T_zpow, of_apply, cons_val', cons_val_zero,
empty_val', cons_val_fin_one, Int.cast_one, cons_val_one, head_cons, head_fin_const,
Int.cast_zero, and_self, and_true, true_and]
refine Iff.mpr (ZMod.intCast_zmod_eq_zero_iff_dvd M (Int.natAbs N)) ?_
simp only [Int.natCast_natAbs, abs_dvd, hNM]
def Gamma0 (N : ℕ) : Subgroup SL(2, ℤ) where
carrier := { g : SL(2, ℤ) | ((↑ₘg 1 0 : ℤ) : ZMod N) = 0 }
one_mem' := by simp
mul_mem' := by
intro a b ha hb
simp only [Set.mem_setOf_eq]
have h := (Matrix.two_mul_expl a.1 b.1).2.2.1
simp only [coe_matrix_coe, coe_mul, Int.coe_castRingHom, map_apply, Set.mem_setOf_eq] at *
rw [h]
simp [ha, hb]
inv_mem' := by
intro a ha
simp only [Set.mem_setOf_eq]
rw [SL2_inv_expl a]
simp only [cons_val_zero, cons_val_one, head_cons, coe_matrix_coe,
coe_mk, Int.coe_castRingHom, map_apply, Int.cast_neg, neg_eq_zero, Set.mem_setOf_eq] at *
exact ha
#align Gamma0 Gamma0
@[simp]
theorem Gamma0_mem (N : ℕ) (A : SL(2, ℤ)) : A ∈ Gamma0 N ↔ ((↑ₘA 1 0 : ℤ) : ZMod N) = 0 :=
Iff.rfl
#align Gamma0_mem Gamma0_mem
theorem Gamma0_det (N : ℕ) (A : Gamma0 N) : (A.1.1.det : ZMod N) = 1 := by simp [A.1.property]
#align Gamma0_det Gamma0_det
def Gamma0Map (N : ℕ) : Gamma0 N →* ZMod N where
toFun g := ((↑ₘg 1 1 : ℤ) : ZMod N)
map_one' := by simp
map_mul' := by
intro A B
have := (two_mul_expl A.1.1 B.1.1).2.2.2
simp only [Subgroup.coe_mul, coe_matrix_coe, coe_mul, Int.coe_castRingHom, map_apply] at *
rw [this]
have ha := A.property
simp only [Int.cast_add, Int.cast_mul, add_left_eq_self, Gamma0_mem,
coe_matrix_coe, Int.coe_castRingHom, map_apply] at *
rw [ha]
simp
#align Gamma_0_map Gamma0Map
def Gamma1' (N : ℕ) : Subgroup (Gamma0 N) :=
(Gamma0Map N).ker
#align Gamma1' Gamma1'
@[simp, nolint simpNF] -- Porting note: linter failed to synth `CommMonoid { x // x ∈ Gamma0 N }`
theorem Gamma1_mem' (N : ℕ) (γ : Gamma0 N) : γ ∈ Gamma1' N ↔ (Gamma0Map N) γ = 1 :=
Iff.rfl
#align Gamma1_mem' Gamma1_mem'
theorem Gamma1_to_Gamma0_mem (N : ℕ) (A : Gamma0 N) : A ∈ Gamma1' N ↔
((↑ₘA 0 0 : ℤ) : ZMod N) = 1 ∧ ((↑ₘA 1 1 : ℤ) : ZMod N) = 1 ∧ ((↑ₘA 1 0 : ℤ) : ZMod N) = 0 := by
constructor
· intro ha
have hA := A.property
rw [Gamma0_mem] at hA
have adet := Gamma0_det N A
rw [Matrix.det_fin_two] at adet
simp only [Gamma0Map, coe_matrix_coe, Int.coe_castRingHom, map_apply, Gamma1_mem',
MonoidHom.coe_mk, OneHom.coe_mk, Int.cast_sub, Int.cast_mul] at *
rw [hA, ha] at adet
simp only [mul_one, mul_zero, sub_zero] at adet
simp only [adet, hA, ha, eq_self_iff_true, and_self_iff]
· intro ha
simp only [Gamma1_mem', Gamma0Map, MonoidHom.coe_mk, coe_matrix_coe,
Int.coe_castRingHom, map_apply]
exact ha.2.1
#align Gamma1_to_Gamma0_mem Gamma1_to_Gamma0_mem
def Gamma1 (N : ℕ) : Subgroup SL(2, ℤ) :=
Subgroup.map ((Gamma0 N).subtype.comp (Gamma1' N).subtype) ⊤
#align Gamma1 Gamma1
@[simp]
theorem Gamma1_mem (N : ℕ) (A : SL(2, ℤ)) : A ∈ Gamma1 N ↔
((↑ₘA 0 0 : ℤ) : ZMod N) = 1 ∧ ((↑ₘA 1 1 : ℤ) : ZMod N) = 1 ∧ ((↑ₘA 1 0 : ℤ) : ZMod N) = 0 := by
constructor
· intro ha
simp_rw [Gamma1, Subgroup.mem_map] at ha
obtain ⟨⟨x, hx⟩, hxx⟩ := ha
rw [Gamma1_to_Gamma0_mem] at hx
simp only [Subgroup.mem_top, true_and] at hxx
rw [← hxx]
convert hx
· intro ha
simp_rw [Gamma1, Subgroup.mem_map]
have hA : A ∈ Gamma0 N := by simp [ha.right.right, Gamma0_mem]
have HA : (⟨A, hA⟩ : Gamma0 N) ∈ Gamma1' N := by
simp only [Gamma1_to_Gamma0_mem, Subgroup.coe_mk, coe_matrix_coe,
Int.coe_castRingHom, map_apply]
exact ha
refine ⟨(⟨(⟨A, hA⟩ : Gamma0 N), HA⟩ : (Gamma1' N : Subgroup (Gamma0 N))), ?_⟩
simp
#align Gamma1_mem Gamma1_mem
| Mathlib/NumberTheory/ModularForms/CongruenceSubgroups.lean | 203 | 206 | theorem Gamma1_in_Gamma0 (N : ℕ) : Gamma1 N ≤ Gamma0 N := by |
intro x HA
simp only [Gamma0_mem, Gamma1_mem, coe_matrix_coe, Int.coe_castRingHom, map_apply] at *
exact HA.2.2
|
import Mathlib.MeasureTheory.Measure.NullMeasurable
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Topology.Algebra.Order.LiminfLimsup
#align_import measure_theory.measure.measure_space from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55"
noncomputable section
open Set
open Filter hiding map
open Function MeasurableSpace
open scoped Classical symmDiff
open Topology Filter ENNReal NNReal Interval MeasureTheory
variable {α β γ δ ι R R' : Type*}
namespace MeasureTheory
section
variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α}
instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) :=
⟨fun _s hs =>
let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs
⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩
#align measure_theory.ae_is_measurably_generated MeasureTheory.ae_isMeasurablyGenerated
theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} :
(∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by
simp only [uIoc_eq_union, mem_union, or_imp, eventually_and]
#align measure_theory.ae_uIoc_iff MeasureTheory.ae_uIoc_iff
theorem measure_union (hd : Disjoint s₁ s₂) (h : MeasurableSet s₂) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀ h.nullMeasurableSet hd.aedisjoint
#align measure_theory.measure_union MeasureTheory.measure_union
theorem measure_union' (hd : Disjoint s₁ s₂) (h : MeasurableSet s₁) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀' h.nullMeasurableSet hd.aedisjoint
#align measure_theory.measure_union' MeasureTheory.measure_union'
theorem measure_inter_add_diff (s : Set α) (ht : MeasurableSet t) : μ (s ∩ t) + μ (s \ t) = μ s :=
measure_inter_add_diff₀ _ ht.nullMeasurableSet
#align measure_theory.measure_inter_add_diff MeasureTheory.measure_inter_add_diff
theorem measure_diff_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s \ t) + μ (s ∩ t) = μ s :=
(add_comm _ _).trans (measure_inter_add_diff s ht)
#align measure_theory.measure_diff_add_inter MeasureTheory.measure_diff_add_inter
theorem measure_union_add_inter (s : Set α) (ht : MeasurableSet t) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [← measure_inter_add_diff (s ∪ t) ht, Set.union_inter_cancel_right, union_diff_right, ←
measure_inter_add_diff s ht]
ac_rfl
#align measure_theory.measure_union_add_inter MeasureTheory.measure_union_add_inter
theorem measure_union_add_inter' (hs : MeasurableSet s) (t : Set α) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [union_comm, inter_comm, measure_union_add_inter t hs, add_comm]
#align measure_theory.measure_union_add_inter' MeasureTheory.measure_union_add_inter'
lemma measure_symmDiff_eq (hs : MeasurableSet s) (ht : MeasurableSet t) :
μ (s ∆ t) = μ (s \ t) + μ (t \ s) := by
simpa only [symmDiff_def, sup_eq_union] using measure_union disjoint_sdiff_sdiff (ht.diff hs)
lemma measure_symmDiff_le (s t u : Set α) :
μ (s ∆ u) ≤ μ (s ∆ t) + μ (t ∆ u) :=
le_trans (μ.mono <| symmDiff_triangle s t u) (measure_union_le (s ∆ t) (t ∆ u))
theorem measure_add_measure_compl (h : MeasurableSet s) : μ s + μ sᶜ = μ univ :=
measure_add_measure_compl₀ h.nullMeasurableSet
#align measure_theory.measure_add_measure_compl MeasureTheory.measure_add_measure_compl
theorem measure_biUnion₀ {s : Set β} {f : β → Set α} (hs : s.Countable)
(hd : s.Pairwise (AEDisjoint μ on f)) (h : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := by
haveI := hs.toEncodable
rw [biUnion_eq_iUnion]
exact measure_iUnion₀ (hd.on_injective Subtype.coe_injective fun x => x.2) fun x => h x x.2
#align measure_theory.measure_bUnion₀ MeasureTheory.measure_biUnion₀
theorem measure_biUnion {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.PairwiseDisjoint f)
(h : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) :=
measure_biUnion₀ hs hd.aedisjoint fun b hb => (h b hb).nullMeasurableSet
#align measure_theory.measure_bUnion MeasureTheory.measure_biUnion
theorem measure_sUnion₀ {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise (AEDisjoint μ))
(h : ∀ s ∈ S, NullMeasurableSet s μ) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion₀ hs hd h]
#align measure_theory.measure_sUnion₀ MeasureTheory.measure_sUnion₀
theorem measure_sUnion {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise Disjoint)
(h : ∀ s ∈ S, MeasurableSet s) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion hs hd h]
#align measure_theory.measure_sUnion MeasureTheory.measure_sUnion
theorem measure_biUnion_finset₀ {s : Finset ι} {f : ι → Set α}
(hd : Set.Pairwise (↑s) (AEDisjoint μ on f)) (hm : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := by
rw [← Finset.sum_attach, Finset.attach_eq_univ, ← tsum_fintype]
exact measure_biUnion₀ s.countable_toSet hd hm
#align measure_theory.measure_bUnion_finset₀ MeasureTheory.measure_biUnion_finset₀
theorem measure_biUnion_finset {s : Finset ι} {f : ι → Set α} (hd : PairwiseDisjoint (↑s) f)
(hm : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) :=
measure_biUnion_finset₀ hd.aedisjoint fun b hb => (hm b hb).nullMeasurableSet
#align measure_theory.measure_bUnion_finset MeasureTheory.measure_biUnion_finset
theorem tsum_meas_le_meas_iUnion_of_disjoint₀ {ι : Type*} [MeasurableSpace α] (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, NullMeasurableSet (As i) μ)
(As_disj : Pairwise (AEDisjoint μ on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := by
rw [ENNReal.tsum_eq_iSup_sum, iSup_le_iff]
intro s
simp only [← measure_biUnion_finset₀ (fun _i _hi _j _hj hij => As_disj hij) fun i _ => As_mble i]
gcongr
exact iUnion_subset fun _ ↦ Subset.rfl
theorem tsum_meas_le_meas_iUnion_of_disjoint {ι : Type*} [MeasurableSpace α] (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, MeasurableSet (As i))
(As_disj : Pairwise (Disjoint on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) :=
tsum_meas_le_meas_iUnion_of_disjoint₀ μ (fun i ↦ (As_mble i).nullMeasurableSet)
(fun _ _ h ↦ Disjoint.aedisjoint (As_disj h))
#align measure_theory.tsum_meas_le_meas_Union_of_disjoint MeasureTheory.tsum_meas_le_meas_iUnion_of_disjoint
theorem tsum_measure_preimage_singleton {s : Set β} (hs : s.Countable) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑' b : s, μ (f ⁻¹' {↑b})) = μ (f ⁻¹' s) := by
rw [← Set.biUnion_preimage_singleton, measure_biUnion hs (pairwiseDisjoint_fiber f s) hf]
#align measure_theory.tsum_measure_preimage_singleton MeasureTheory.tsum_measure_preimage_singleton
lemma measure_preimage_eq_zero_iff_of_countable {s : Set β} {f : α → β} (hs : s.Countable) :
μ (f ⁻¹' s) = 0 ↔ ∀ x ∈ s, μ (f ⁻¹' {x}) = 0 := by
rw [← biUnion_preimage_singleton, measure_biUnion_null_iff hs]
theorem sum_measure_preimage_singleton (s : Finset β) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑ b ∈ s, μ (f ⁻¹' {b})) = μ (f ⁻¹' ↑s) := by
simp only [← measure_biUnion_finset (pairwiseDisjoint_fiber f s) hf,
Finset.set_biUnion_preimage_singleton]
#align measure_theory.sum_measure_preimage_singleton MeasureTheory.sum_measure_preimage_singleton
theorem measure_diff_null' (h : μ (s₁ ∩ s₂) = 0) : μ (s₁ \ s₂) = μ s₁ :=
measure_congr <| diff_ae_eq_self.2 h
#align measure_theory.measure_diff_null' MeasureTheory.measure_diff_null'
theorem measure_add_diff (hs : MeasurableSet s) (t : Set α) : μ s + μ (t \ s) = μ (s ∪ t) := by
rw [← measure_union' disjoint_sdiff_right hs, union_diff_self]
#align measure_theory.measure_add_diff MeasureTheory.measure_add_diff
theorem measure_diff' (s : Set α) (hm : MeasurableSet t) (h_fin : μ t ≠ ∞) :
μ (s \ t) = μ (s ∪ t) - μ t :=
Eq.symm <| ENNReal.sub_eq_of_add_eq h_fin <| by rw [add_comm, measure_add_diff hm, union_comm]
#align measure_theory.measure_diff' MeasureTheory.measure_diff'
theorem measure_diff (h : s₂ ⊆ s₁) (h₂ : MeasurableSet s₂) (h_fin : μ s₂ ≠ ∞) :
μ (s₁ \ s₂) = μ s₁ - μ s₂ := by rw [measure_diff' _ h₂ h_fin, union_eq_self_of_subset_right h]
#align measure_theory.measure_diff MeasureTheory.measure_diff
theorem le_measure_diff : μ s₁ - μ s₂ ≤ μ (s₁ \ s₂) :=
tsub_le_iff_left.2 <| (measure_le_inter_add_diff μ s₁ s₂).trans <| by
gcongr; apply inter_subset_right
#align measure_theory.le_measure_diff MeasureTheory.le_measure_diff
theorem measure_eq_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s = ∞ ↔ μ t = ∞ := by
suffices h : ∀ u v, μ (u ∆ v) ≠ ∞ → μ u = ∞ → μ v = ∞
from ⟨h s t hμst, h t s (symmDiff_comm s t ▸ hμst)⟩
intro u v hμuv hμu
by_contra! hμv
apply hμuv
rw [Set.symmDiff_def, eq_top_iff]
calc
∞ = μ u - μ v := (WithTop.sub_eq_top_iff.2 ⟨hμu, hμv⟩).symm
_ ≤ μ (u \ v) := le_measure_diff
_ ≤ μ (u \ v ∪ v \ u) := measure_mono subset_union_left
theorem measure_ne_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s ≠ ∞ ↔ μ t ≠ ∞ :=
(measure_eq_top_iff_of_symmDiff hμst).ne
theorem measure_diff_lt_of_lt_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞}
(h : μ t < μ s + ε) : μ (t \ s) < ε := by
rw [measure_diff hst hs hs']; rw [add_comm] at h
exact ENNReal.sub_lt_of_lt_add (measure_mono hst) h
#align measure_theory.measure_diff_lt_of_lt_add MeasureTheory.measure_diff_lt_of_lt_add
theorem measure_diff_le_iff_le_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞} :
μ (t \ s) ≤ ε ↔ μ t ≤ μ s + ε := by rw [measure_diff hst hs hs', tsub_le_iff_left]
#align measure_theory.measure_diff_le_iff_le_add MeasureTheory.measure_diff_le_iff_le_add
theorem measure_eq_measure_of_null_diff {s t : Set α} (hst : s ⊆ t) (h_nulldiff : μ (t \ s) = 0) :
μ s = μ t := measure_congr <|
EventuallyLE.antisymm (HasSubset.Subset.eventuallyLE hst) (ae_le_set.mpr h_nulldiff)
#align measure_theory.measure_eq_measure_of_null_diff MeasureTheory.measure_eq_measure_of_null_diff
theorem measure_eq_measure_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂) (h23 : s₂ ⊆ s₃)
(h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ ∧ μ s₂ = μ s₃ := by
have le12 : μ s₁ ≤ μ s₂ := measure_mono h12
have le23 : μ s₂ ≤ μ s₃ := measure_mono h23
have key : μ s₃ ≤ μ s₁ :=
calc
μ s₃ = μ (s₃ \ s₁ ∪ s₁) := by rw [diff_union_of_subset (h12.trans h23)]
_ ≤ μ (s₃ \ s₁) + μ s₁ := measure_union_le _ _
_ = μ s₁ := by simp only [h_nulldiff, zero_add]
exact ⟨le12.antisymm (le23.trans key), le23.antisymm (key.trans le12)⟩
#align measure_theory.measure_eq_measure_of_between_null_diff MeasureTheory.measure_eq_measure_of_between_null_diff
theorem measure_eq_measure_smaller_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂)
(h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ :=
(measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).1
#align measure_theory.measure_eq_measure_smaller_of_between_null_diff MeasureTheory.measure_eq_measure_smaller_of_between_null_diff
theorem measure_eq_measure_larger_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂)
(h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₂ = μ s₃ :=
(measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).2
#align measure_theory.measure_eq_measure_larger_of_between_null_diff MeasureTheory.measure_eq_measure_larger_of_between_null_diff
lemma measure_compl₀ (h : NullMeasurableSet s μ) (hs : μ s ≠ ∞) :
μ sᶜ = μ Set.univ - μ s := by
rw [← measure_add_measure_compl₀ h, ENNReal.add_sub_cancel_left hs]
theorem measure_compl (h₁ : MeasurableSet s) (h_fin : μ s ≠ ∞) : μ sᶜ = μ univ - μ s :=
measure_compl₀ h₁.nullMeasurableSet h_fin
#align measure_theory.measure_compl MeasureTheory.measure_compl
lemma measure_inter_conull' (ht : μ (s \ t) = 0) : μ (s ∩ t) = μ s := by
rw [← diff_compl, measure_diff_null']; rwa [← diff_eq]
lemma measure_inter_conull (ht : μ tᶜ = 0) : μ (s ∩ t) = μ s := by
rw [← diff_compl, measure_diff_null ht]
@[simp]
theorem union_ae_eq_left_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] s ↔ t ≤ᵐ[μ] s := by
rw [ae_le_set]
refine
⟨fun h => by simpa only [union_diff_left] using (ae_eq_set.mp h).1, fun h =>
eventuallyLE_antisymm_iff.mpr
⟨by rwa [ae_le_set, union_diff_left],
HasSubset.Subset.eventuallyLE subset_union_left⟩⟩
#align measure_theory.union_ae_eq_left_iff_ae_subset MeasureTheory.union_ae_eq_left_iff_ae_subset
@[simp]
theorem union_ae_eq_right_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] t ↔ s ≤ᵐ[μ] t := by
rw [union_comm, union_ae_eq_left_iff_ae_subset]
#align measure_theory.union_ae_eq_right_iff_ae_subset MeasureTheory.union_ae_eq_right_iff_ae_subset
theorem ae_eq_of_ae_subset_of_measure_ge (h₁ : s ≤ᵐ[μ] t) (h₂ : μ t ≤ μ s) (hsm : MeasurableSet s)
(ht : μ t ≠ ∞) : s =ᵐ[μ] t := by
refine eventuallyLE_antisymm_iff.mpr ⟨h₁, ae_le_set.mpr ?_⟩
replace h₂ : μ t = μ s := h₂.antisymm (measure_mono_ae h₁)
replace ht : μ s ≠ ∞ := h₂ ▸ ht
rw [measure_diff' t hsm ht, measure_congr (union_ae_eq_left_iff_ae_subset.mpr h₁), h₂, tsub_self]
#align measure_theory.ae_eq_of_ae_subset_of_measure_ge MeasureTheory.ae_eq_of_ae_subset_of_measure_ge
theorem ae_eq_of_subset_of_measure_ge (h₁ : s ⊆ t) (h₂ : μ t ≤ μ s) (hsm : MeasurableSet s)
(ht : μ t ≠ ∞) : s =ᵐ[μ] t :=
ae_eq_of_ae_subset_of_measure_ge (HasSubset.Subset.eventuallyLE h₁) h₂ hsm ht
#align measure_theory.ae_eq_of_subset_of_measure_ge MeasureTheory.ae_eq_of_subset_of_measure_ge
theorem measure_iUnion_congr_of_subset [Countable β] {s : β → Set α} {t : β → Set α}
(hsub : ∀ b, s b ⊆ t b) (h_le : ∀ b, μ (t b) ≤ μ (s b)) : μ (⋃ b, s b) = μ (⋃ b, t b) := by
rcases Classical.em (∃ b, μ (t b) = ∞) with (⟨b, hb⟩ | htop)
· calc
μ (⋃ b, s b) = ∞ := top_unique (hb ▸ (h_le b).trans <| measure_mono <| subset_iUnion _ _)
_ = μ (⋃ b, t b) := Eq.symm <| top_unique <| hb ▸ measure_mono (subset_iUnion _ _)
push_neg at htop
refine le_antisymm (measure_mono (iUnion_mono hsub)) ?_
set M := toMeasurable μ
have H : ∀ b, (M (t b) ∩ M (⋃ b, s b) : Set α) =ᵐ[μ] M (t b) := by
refine fun b => ae_eq_of_subset_of_measure_ge inter_subset_left ?_ ?_ ?_
· calc
μ (M (t b)) = μ (t b) := measure_toMeasurable _
_ ≤ μ (s b) := h_le b
_ ≤ μ (M (t b) ∩ M (⋃ b, s b)) :=
measure_mono <|
subset_inter ((hsub b).trans <| subset_toMeasurable _ _)
((subset_iUnion _ _).trans <| subset_toMeasurable _ _)
· exact (measurableSet_toMeasurable _ _).inter (measurableSet_toMeasurable _ _)
· rw [measure_toMeasurable]
exact htop b
calc
μ (⋃ b, t b) ≤ μ (⋃ b, M (t b)) := measure_mono (iUnion_mono fun b => subset_toMeasurable _ _)
_ = μ (⋃ b, M (t b) ∩ M (⋃ b, s b)) := measure_congr (EventuallyEq.countable_iUnion H).symm
_ ≤ μ (M (⋃ b, s b)) := measure_mono (iUnion_subset fun b => inter_subset_right)
_ = μ (⋃ b, s b) := measure_toMeasurable _
#align measure_theory.measure_Union_congr_of_subset MeasureTheory.measure_iUnion_congr_of_subset
theorem measure_union_congr_of_subset {t₁ t₂ : Set α} (hs : s₁ ⊆ s₂) (hsμ : μ s₂ ≤ μ s₁)
(ht : t₁ ⊆ t₂) (htμ : μ t₂ ≤ μ t₁) : μ (s₁ ∪ t₁) = μ (s₂ ∪ t₂) := by
rw [union_eq_iUnion, union_eq_iUnion]
exact measure_iUnion_congr_of_subset (Bool.forall_bool.2 ⟨ht, hs⟩) (Bool.forall_bool.2 ⟨htμ, hsμ⟩)
#align measure_theory.measure_union_congr_of_subset MeasureTheory.measure_union_congr_of_subset
@[simp]
theorem measure_iUnion_toMeasurable [Countable β] (s : β → Set α) :
μ (⋃ b, toMeasurable μ (s b)) = μ (⋃ b, s b) :=
Eq.symm <|
measure_iUnion_congr_of_subset (fun _b => subset_toMeasurable _ _) fun _b =>
(measure_toMeasurable _).le
#align measure_theory.measure_Union_to_measurable MeasureTheory.measure_iUnion_toMeasurable
theorem measure_biUnion_toMeasurable {I : Set β} (hc : I.Countable) (s : β → Set α) :
μ (⋃ b ∈ I, toMeasurable μ (s b)) = μ (⋃ b ∈ I, s b) := by
haveI := hc.toEncodable
simp only [biUnion_eq_iUnion, measure_iUnion_toMeasurable]
#align measure_theory.measure_bUnion_to_measurable MeasureTheory.measure_biUnion_toMeasurable
@[simp]
theorem measure_toMeasurable_union : μ (toMeasurable μ s ∪ t) = μ (s ∪ t) :=
Eq.symm <|
measure_union_congr_of_subset (subset_toMeasurable _ _) (measure_toMeasurable _).le Subset.rfl
le_rfl
#align measure_theory.measure_to_measurable_union MeasureTheory.measure_toMeasurable_union
@[simp]
theorem measure_union_toMeasurable : μ (s ∪ toMeasurable μ t) = μ (s ∪ t) :=
Eq.symm <|
measure_union_congr_of_subset Subset.rfl le_rfl (subset_toMeasurable _ _)
(measure_toMeasurable _).le
#align measure_theory.measure_union_to_measurable MeasureTheory.measure_union_toMeasurable
theorem sum_measure_le_measure_univ {s : Finset ι} {t : ι → Set α}
(h : ∀ i ∈ s, MeasurableSet (t i)) (H : Set.PairwiseDisjoint (↑s) t) :
(∑ i ∈ s, μ (t i)) ≤ μ (univ : Set α) := by
rw [← measure_biUnion_finset H h]
exact measure_mono (subset_univ _)
#align measure_theory.sum_measure_le_measure_univ MeasureTheory.sum_measure_le_measure_univ
theorem tsum_measure_le_measure_univ {s : ι → Set α} (hs : ∀ i, MeasurableSet (s i))
(H : Pairwise (Disjoint on s)) : (∑' i, μ (s i)) ≤ μ (univ : Set α) := by
rw [ENNReal.tsum_eq_iSup_sum]
exact iSup_le fun s =>
sum_measure_le_measure_univ (fun i _hi => hs i) fun i _hi j _hj hij => H hij
#align measure_theory.tsum_measure_le_measure_univ MeasureTheory.tsum_measure_le_measure_univ
theorem exists_nonempty_inter_of_measure_univ_lt_tsum_measure {m : MeasurableSpace α}
(μ : Measure α) {s : ι → Set α} (hs : ∀ i, MeasurableSet (s i))
(H : μ (univ : Set α) < ∑' i, μ (s i)) : ∃ i j, i ≠ j ∧ (s i ∩ s j).Nonempty := by
contrapose! H
apply tsum_measure_le_measure_univ hs
intro i j hij
exact disjoint_iff_inter_eq_empty.mpr (H i j hij)
#align measure_theory.exists_nonempty_inter_of_measure_univ_lt_tsum_measure MeasureTheory.exists_nonempty_inter_of_measure_univ_lt_tsum_measure
theorem exists_nonempty_inter_of_measure_univ_lt_sum_measure {m : MeasurableSpace α} (μ : Measure α)
{s : Finset ι} {t : ι → Set α} (h : ∀ i ∈ s, MeasurableSet (t i))
(H : μ (univ : Set α) < ∑ i ∈ s, μ (t i)) :
∃ i ∈ s, ∃ j ∈ s, ∃ _h : i ≠ j, (t i ∩ t j).Nonempty := by
contrapose! H
apply sum_measure_le_measure_univ h
intro i hi j hj hij
exact disjoint_iff_inter_eq_empty.mpr (H i hi j hj hij)
#align measure_theory.exists_nonempty_inter_of_measure_univ_lt_sum_measure MeasureTheory.exists_nonempty_inter_of_measure_univ_lt_sum_measure
theorem nonempty_inter_of_measure_lt_add {m : MeasurableSpace α} (μ : Measure α) {s t u : Set α}
(ht : MeasurableSet t) (h's : s ⊆ u) (h't : t ⊆ u) (h : μ u < μ s + μ t) :
(s ∩ t).Nonempty := by
rw [← Set.not_disjoint_iff_nonempty_inter]
contrapose! h
calc
μ s + μ t = μ (s ∪ t) := (measure_union h ht).symm
_ ≤ μ u := measure_mono (union_subset h's h't)
#align measure_theory.nonempty_inter_of_measure_lt_add MeasureTheory.nonempty_inter_of_measure_lt_add
theorem nonempty_inter_of_measure_lt_add' {m : MeasurableSpace α} (μ : Measure α) {s t u : Set α}
(hs : MeasurableSet s) (h's : s ⊆ u) (h't : t ⊆ u) (h : μ u < μ s + μ t) :
(s ∩ t).Nonempty := by
rw [add_comm] at h
rw [inter_comm]
exact nonempty_inter_of_measure_lt_add μ hs h't h's h
#align measure_theory.nonempty_inter_of_measure_lt_add' MeasureTheory.nonempty_inter_of_measure_lt_add'
theorem measure_iUnion_eq_iSup [Countable ι] {s : ι → Set α} (hd : Directed (· ⊆ ·) s) :
μ (⋃ i, s i) = ⨆ i, μ (s i) := by
cases nonempty_encodable ι
-- WLOG, `ι = ℕ`
generalize ht : Function.extend Encodable.encode s ⊥ = t
replace hd : Directed (· ⊆ ·) t := ht ▸ hd.extend_bot Encodable.encode_injective
suffices μ (⋃ n, t n) = ⨆ n, μ (t n) by
simp only [← ht, Function.apply_extend μ, ← iSup_eq_iUnion,
iSup_extend_bot Encodable.encode_injective, (· ∘ ·), Pi.bot_apply, bot_eq_empty,
measure_empty] at this
exact this.trans (iSup_extend_bot Encodable.encode_injective _)
clear! ι
-- The `≥` inequality is trivial
refine le_antisymm ?_ (iSup_le fun i => measure_mono <| subset_iUnion _ _)
-- Choose `T n ⊇ t n` of the same measure, put `Td n = disjointed T`
set T : ℕ → Set α := fun n => toMeasurable μ (t n)
set Td : ℕ → Set α := disjointed T
have hm : ∀ n, MeasurableSet (Td n) :=
MeasurableSet.disjointed fun n => measurableSet_toMeasurable _ _
calc
μ (⋃ n, t n) ≤ μ (⋃ n, T n) := measure_mono (iUnion_mono fun i => subset_toMeasurable _ _)
_ = μ (⋃ n, Td n) := by rw [iUnion_disjointed]
_ ≤ ∑' n, μ (Td n) := measure_iUnion_le _
_ = ⨆ I : Finset ℕ, ∑ n ∈ I, μ (Td n) := ENNReal.tsum_eq_iSup_sum
_ ≤ ⨆ n, μ (t n) := iSup_le fun I => by
rcases hd.finset_le I with ⟨N, hN⟩
calc
(∑ n ∈ I, μ (Td n)) = μ (⋃ n ∈ I, Td n) :=
(measure_biUnion_finset ((disjoint_disjointed T).set_pairwise I) fun n _ => hm n).symm
_ ≤ μ (⋃ n ∈ I, T n) := measure_mono (iUnion₂_mono fun n _hn => disjointed_subset _ _)
_ = μ (⋃ n ∈ I, t n) := measure_biUnion_toMeasurable I.countable_toSet _
_ ≤ μ (t N) := measure_mono (iUnion₂_subset hN)
_ ≤ ⨆ n, μ (t n) := le_iSup (μ ∘ t) N
#align measure_theory.measure_Union_eq_supr MeasureTheory.measure_iUnion_eq_iSup
theorem measure_iUnion_eq_iSup' {α ι : Type*} [MeasurableSpace α] {μ : Measure α}
[Countable ι] [Preorder ι] [IsDirected ι (· ≤ ·)]
{f : ι → Set α} : μ (⋃ i, f i) = ⨆ i, μ (Accumulate f i) := by
have hd : Directed (· ⊆ ·) (Accumulate f) := by
intro i j
rcases directed_of (· ≤ ·) i j with ⟨k, rik, rjk⟩
exact ⟨k, biUnion_subset_biUnion_left fun l rli ↦ le_trans rli rik,
biUnion_subset_biUnion_left fun l rlj ↦ le_trans rlj rjk⟩
rw [← iUnion_accumulate]
exact measure_iUnion_eq_iSup hd
theorem measure_biUnion_eq_iSup {s : ι → Set α} {t : Set ι} (ht : t.Countable)
(hd : DirectedOn ((· ⊆ ·) on s) t) : μ (⋃ i ∈ t, s i) = ⨆ i ∈ t, μ (s i) := by
haveI := ht.toEncodable
rw [biUnion_eq_iUnion, measure_iUnion_eq_iSup hd.directed_val, ← iSup_subtype'']
#align measure_theory.measure_bUnion_eq_supr MeasureTheory.measure_biUnion_eq_iSup
theorem measure_iInter_eq_iInf [Countable ι] {s : ι → Set α} (h : ∀ i, MeasurableSet (s i))
(hd : Directed (· ⊇ ·) s) (hfin : ∃ i, μ (s i) ≠ ∞) : μ (⋂ i, s i) = ⨅ i, μ (s i) := by
rcases hfin with ⟨k, hk⟩
have : ∀ t ⊆ s k, μ t ≠ ∞ := fun t ht => ne_top_of_le_ne_top hk (measure_mono ht)
rw [← ENNReal.sub_sub_cancel hk (iInf_le _ k), ENNReal.sub_iInf, ←
ENNReal.sub_sub_cancel hk (measure_mono (iInter_subset _ k)), ←
measure_diff (iInter_subset _ k) (MeasurableSet.iInter h) (this _ (iInter_subset _ k)),
diff_iInter, measure_iUnion_eq_iSup]
· congr 1
refine le_antisymm (iSup_mono' fun i => ?_) (iSup_mono fun i => ?_)
· rcases hd i k with ⟨j, hji, hjk⟩
use j
rw [← measure_diff hjk (h _) (this _ hjk)]
gcongr
· rw [tsub_le_iff_right, ← measure_union, Set.union_comm]
· exact measure_mono (diff_subset_iff.1 Subset.rfl)
· apply disjoint_sdiff_left
· apply h i
· exact hd.mono_comp _ fun _ _ => diff_subset_diff_right
#align measure_theory.measure_Inter_eq_infi MeasureTheory.measure_iInter_eq_iInf
theorem measure_iInter_eq_iInf' {α ι : Type*} [MeasurableSpace α] {μ : Measure α}
[Countable ι] [Preorder ι] [IsDirected ι (· ≤ ·)]
{f : ι → Set α} (h : ∀ i, MeasurableSet (f i)) (hfin : ∃ i, μ (f i) ≠ ∞) :
μ (⋂ i, f i) = ⨅ i, μ (⋂ j ≤ i, f j) := by
let s := fun i ↦ ⋂ j ≤ i, f j
have iInter_eq : ⋂ i, f i = ⋂ i, s i := by
ext x; simp [s]; constructor
· exact fun h _ j _ ↦ h j
· intro h i
rcases directed_of (· ≤ ·) i i with ⟨j, rij, -⟩
exact h j i rij
have ms : ∀ i, MeasurableSet (s i) :=
fun i ↦ MeasurableSet.biInter (countable_univ.mono <| subset_univ _) fun i _ ↦ h i
have hd : Directed (· ⊇ ·) s := by
intro i j
rcases directed_of (· ≤ ·) i j with ⟨k, rik, rjk⟩
exact ⟨k, biInter_subset_biInter_left fun j rji ↦ le_trans rji rik,
biInter_subset_biInter_left fun i rij ↦ le_trans rij rjk⟩
have hfin' : ∃ i, μ (s i) ≠ ∞ := by
rcases hfin with ⟨i, hi⟩
rcases directed_of (· ≤ ·) i i with ⟨j, rij, -⟩
exact ⟨j, ne_top_of_le_ne_top hi <| measure_mono <| biInter_subset_of_mem rij⟩
exact iInter_eq ▸ measure_iInter_eq_iInf ms hd hfin'
| Mathlib/MeasureTheory/Measure/MeasureSpace.lean | 575 | 578 | theorem tendsto_measure_iUnion [Preorder ι] [IsDirected ι (· ≤ ·)] [Countable ι]
{s : ι → Set α} (hm : Monotone s) : Tendsto (μ ∘ s) atTop (𝓝 (μ (⋃ n, s n))) := by |
rw [measure_iUnion_eq_iSup hm.directed_le]
exact tendsto_atTop_iSup fun n m hnm => measure_mono <| hm hnm
|
import Mathlib.Algebra.Group.Commute.Units
import Mathlib.Algebra.Group.Invertible.Defs
import Mathlib.Algebra.Group.Hom.Defs
import Mathlib.Logic.Equiv.Defs
#align_import algebra.invertible from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422"
assert_not_exists MonoidWithZero
assert_not_exists DenselyOrdered
universe u
variable {α : Type u}
@[simps]
def unitOfInvertible [Monoid α] (a : α) [Invertible a] : αˣ where
val := a
inv := ⅟ a
val_inv := by simp
inv_val := by simp
#align unit_of_invertible unitOfInvertible
#align coe_unit_of_invertible val_unitOfInvertible
#align coe_inv_unit_of_invertible val_inv_unitOfInvertible
theorem isUnit_of_invertible [Monoid α] (a : α) [Invertible a] : IsUnit a :=
⟨unitOfInvertible a, rfl⟩
#align is_unit_of_invertible isUnit_of_invertible
def Units.invertible [Monoid α] (u : αˣ) :
Invertible (u : α) where
invOf := ↑u⁻¹
invOf_mul_self := u.inv_mul
mul_invOf_self := u.mul_inv
#align units.invertible Units.invertible
@[simp]
theorem invOf_units [Monoid α] (u : αˣ) [Invertible (u : α)] : ⅟ (u : α) = ↑u⁻¹ :=
invOf_eq_right_inv u.mul_inv
#align inv_of_units invOf_units
theorem IsUnit.nonempty_invertible [Monoid α] {a : α} (h : IsUnit a) : Nonempty (Invertible a) :=
let ⟨x, hx⟩ := h
⟨x.invertible.copy _ hx.symm⟩
#align is_unit.nonempty_invertible IsUnit.nonempty_invertible
noncomputable def IsUnit.invertible [Monoid α] {a : α} (h : IsUnit a) : Invertible a :=
Classical.choice h.nonempty_invertible
#align is_unit.invertible IsUnit.invertible
@[simp]
theorem nonempty_invertible_iff_isUnit [Monoid α] (a : α) : Nonempty (Invertible a) ↔ IsUnit a :=
⟨Nonempty.rec <| @isUnit_of_invertible _ _ _, IsUnit.nonempty_invertible⟩
#align nonempty_invertible_iff_is_unit nonempty_invertible_iff_isUnit
theorem Commute.invOf_right [Monoid α] {a b : α} [Invertible b] (h : Commute a b) :
Commute a (⅟ b) :=
calc
a * ⅟ b = ⅟ b * (b * a * ⅟ b) := by simp [mul_assoc]
_ = ⅟ b * (a * b * ⅟ b) := by rw [h.eq]
_ = ⅟ b * a := by simp [mul_assoc]
#align commute.inv_of_right Commute.invOf_right
| Mathlib/Algebra/Group/Invertible/Basic.lean | 77 | 82 | theorem Commute.invOf_left [Monoid α] {a b : α} [Invertible b] (h : Commute b a) :
Commute (⅟ b) a :=
calc
⅟ b * a = ⅟ b * (a * b * ⅟ b) := by | simp [mul_assoc]
_ = ⅟ b * (b * a * ⅟ b) := by rw [h.eq]
_ = a * ⅟ b := by simp [mul_assoc]
|
import Mathlib.Init.Function
#align_import data.option.n_ary from "leanprover-community/mathlib"@"995b47e555f1b6297c7cf16855f1023e355219fb"
universe u
open Function
namespace Option
variable {α β γ δ : Type*} {f : α → β → γ} {a : Option α} {b : Option β} {c : Option γ}
def map₂ (f : α → β → γ) (a : Option α) (b : Option β) : Option γ :=
a.bind fun a => b.map <| f a
#align option.map₂ Option.map₂
theorem map₂_def {α β γ : Type u} (f : α → β → γ) (a : Option α) (b : Option β) :
map₂ f a b = f <$> a <*> b := by
cases a <;> rfl
#align option.map₂_def Option.map₂_def
-- Porting note (#10618): In Lean3, was `@[simp]` but now `simp` can prove it
theorem map₂_some_some (f : α → β → γ) (a : α) (b : β) : map₂ f (some a) (some b) = f a b := rfl
#align option.map₂_some_some Option.map₂_some_some
theorem map₂_coe_coe (f : α → β → γ) (a : α) (b : β) : map₂ f a b = f a b := rfl
#align option.map₂_coe_coe Option.map₂_coe_coe
@[simp]
theorem map₂_none_left (f : α → β → γ) (b : Option β) : map₂ f none b = none := rfl
#align option.map₂_none_left Option.map₂_none_left
@[simp]
theorem map₂_none_right (f : α → β → γ) (a : Option α) : map₂ f a none = none := by cases a <;> rfl
#align option.map₂_none_right Option.map₂_none_right
@[simp]
theorem map₂_coe_left (f : α → β → γ) (a : α) (b : Option β) : map₂ f a b = b.map fun b => f a b :=
rfl
#align option.map₂_coe_left Option.map₂_coe_left
-- Porting note: This proof was `rfl` in Lean3, but now is not.
@[simp]
theorem map₂_coe_right (f : α → β → γ) (a : Option α) (b : β) :
map₂ f a b = a.map fun a => f a b := by cases a <;> rfl
#align option.map₂_coe_right Option.map₂_coe_right
-- Porting note: Removed the `@[simp]` tag as membership of an `Option` is no-longer simp-normal.
theorem mem_map₂_iff {c : γ} : c ∈ map₂ f a b ↔ ∃ a' b', a' ∈ a ∧ b' ∈ b ∧ f a' b' = c := by
simp [map₂, bind_eq_some]
#align option.mem_map₂_iff Option.mem_map₂_iff
@[simp]
theorem map₂_eq_none_iff : map₂ f a b = none ↔ a = none ∨ b = none := by
cases a <;> cases b <;> simp
#align option.map₂_eq_none_iff Option.map₂_eq_none_iff
theorem map₂_swap (f : α → β → γ) (a : Option α) (b : Option β) :
map₂ f a b = map₂ (fun a b => f b a) b a := by cases a <;> cases b <;> rfl
#align option.map₂_swap Option.map₂_swap
theorem map_map₂ (f : α → β → γ) (g : γ → δ) :
(map₂ f a b).map g = map₂ (fun a b => g (f a b)) a b := by cases a <;> cases b <;> rfl
#align option.map_map₂ Option.map_map₂
theorem map₂_map_left (f : γ → β → δ) (g : α → γ) :
map₂ f (a.map g) b = map₂ (fun a b => f (g a) b) a b := by cases a <;> rfl
#align option.map₂_map_left Option.map₂_map_left
theorem map₂_map_right (f : α → γ → δ) (g : β → γ) :
map₂ f a (b.map g) = map₂ (fun a b => f a (g b)) a b := by cases b <;> rfl
#align option.map₂_map_right Option.map₂_map_right
@[simp]
theorem map₂_curry (f : α × β → γ) (a : Option α) (b : Option β) :
map₂ (curry f) a b = Option.map f (map₂ Prod.mk a b) := (map_map₂ _ _).symm
#align option.map₂_curry Option.map₂_curry
@[simp]
theorem map_uncurry (f : α → β → γ) (x : Option (α × β)) :
x.map (uncurry f) = map₂ f (x.map Prod.fst) (x.map Prod.snd) := by cases x <;> rfl
#align option.map_uncurry Option.map_uncurry
variable {α' β' δ' ε ε' : Type*}
theorem map₂_assoc {f : δ → γ → ε} {g : α → β → δ} {f' : α → ε' → ε} {g' : β → γ → ε'}
(h_assoc : ∀ a b c, f (g a b) c = f' a (g' b c)) :
map₂ f (map₂ g a b) c = map₂ f' a (map₂ g' b c) := by
cases a <;> cases b <;> cases c <;> simp [h_assoc]
#align option.map₂_assoc Option.map₂_assoc
theorem map₂_comm {g : β → α → γ} (h_comm : ∀ a b, f a b = g b a) : map₂ f a b = map₂ g b a := by
cases a <;> cases b <;> simp [h_comm]
#align option.map₂_comm Option.map₂_comm
theorem map₂_left_comm {f : α → δ → ε} {g : β → γ → δ} {f' : α → γ → δ'} {g' : β → δ' → ε}
(h_left_comm : ∀ a b c, f a (g b c) = g' b (f' a c)) :
map₂ f a (map₂ g b c) = map₂ g' b (map₂ f' a c) := by
cases a <;> cases b <;> cases c <;> simp [h_left_comm]
#align option.map₂_left_comm Option.map₂_left_comm
theorem map₂_right_comm {f : δ → γ → ε} {g : α → β → δ} {f' : α → γ → δ'} {g' : δ' → β → ε}
(h_right_comm : ∀ a b c, f (g a b) c = g' (f' a c) b) :
map₂ f (map₂ g a b) c = map₂ g' (map₂ f' a c) b := by
cases a <;> cases b <;> cases c <;> simp [h_right_comm]
#align option.map₂_right_comm Option.map₂_right_comm
theorem map_map₂_distrib {g : γ → δ} {f' : α' → β' → δ} {g₁ : α → α'} {g₂ : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' (g₁ a) (g₂ b)) :
(map₂ f a b).map g = map₂ f' (a.map g₁) (b.map g₂) := by
cases a <;> cases b <;> simp [h_distrib]
#align option.map_map₂_distrib Option.map_map₂_distrib
theorem map_map₂_distrib_left {g : γ → δ} {f' : α' → β → δ} {g' : α → α'}
(h_distrib : ∀ a b, g (f a b) = f' (g' a) b) :
(map₂ f a b).map g = map₂ f' (a.map g') b := by cases a <;> cases b <;> simp [h_distrib]
#align option.map_map₂_distrib_left Option.map_map₂_distrib_left
theorem map_map₂_distrib_right {g : γ → δ} {f' : α → β' → δ} {g' : β → β'}
(h_distrib : ∀ a b, g (f a b) = f' a (g' b)) : (map₂ f a b).map g = map₂ f' a (b.map g') := by
cases a <;> cases b <;> simp [h_distrib]
#align option.map_map₂_distrib_right Option.map_map₂_distrib_right
theorem map₂_map_left_comm {f : α' → β → γ} {g : α → α'} {f' : α → β → δ} {g' : δ → γ}
(h_left_comm : ∀ a b, f (g a) b = g' (f' a b)) : map₂ f (a.map g) b = (map₂ f' a b).map g' := by
cases a <;> cases b <;> simp [h_left_comm]
#align option.map₂_map_left_comm Option.map₂_map_left_comm
theorem map_map₂_right_comm {f : α → β' → γ} {g : β → β'} {f' : α → β → δ} {g' : δ → γ}
(h_right_comm : ∀ a b, f a (g b) = g' (f' a b)) :
map₂ f a (b.map g) = (map₂ f' a b).map g' := by cases a <;> cases b <;> simp [h_right_comm]
#align option.map_map₂_right_comm Option.map_map₂_right_comm
theorem map_map₂_antidistrib {g : γ → δ} {f' : β' → α' → δ} {g₁ : β → β'} {g₂ : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g₁ b) (g₂ a)) :
(map₂ f a b).map g = map₂ f' (b.map g₁) (a.map g₂) := by
cases a <;> cases b <;> simp [h_antidistrib]
#align option.map_map₂_antidistrib Option.map_map₂_antidistrib
theorem map_map₂_antidistrib_left {g : γ → δ} {f' : β' → α → δ} {g' : β → β'}
(h_antidistrib : ∀ a b, g (f a b) = f' (g' b) a) :
(map₂ f a b).map g = map₂ f' (b.map g') a := by
cases a <;> cases b <;> simp [h_antidistrib]
#align option.map_map₂_antidistrib_left Option.map_map₂_antidistrib_left
| Mathlib/Data/Option/NAry.lean | 195 | 197 | theorem map_map₂_antidistrib_right {g : γ → δ} {f' : β → α' → δ} {g' : α → α'}
(h_antidistrib : ∀ a b, g (f a b) = f' b (g' a)) :
(map₂ f a b).map g = map₂ f' b (a.map g') := by | cases a <;> cases b <;> simp [h_antidistrib]
|
import Mathlib.SetTheory.Game.Basic
import Mathlib.SetTheory.Ordinal.NaturalOps
#align_import set_theory.game.ordinal from "leanprover-community/mathlib"@"b90e72c7eebbe8de7c8293a80208ea2ba135c834"
universe u
open SetTheory PGame
open scoped NaturalOps PGame
namespace Ordinal
noncomputable def toPGame : Ordinal.{u} → PGame.{u}
| o =>
have : IsWellOrder o.out.α (· < ·) := isWellOrder_out_lt o
⟨o.out.α, PEmpty, fun x =>
have := Ordinal.typein_lt_self x
(typein (· < ·) x).toPGame,
PEmpty.elim⟩
termination_by x => x
#align ordinal.to_pgame Ordinal.toPGame
@[nolint unusedHavesSuffices]
theorem toPGame_def (o : Ordinal) :
have : IsWellOrder o.out.α (· < ·) := isWellOrder_out_lt o
o.toPGame = ⟨o.out.α, PEmpty, fun x => (typein (· < ·) x).toPGame, PEmpty.elim⟩ := by
rw [toPGame]
#align ordinal.to_pgame_def Ordinal.toPGame_def
@[simp, nolint unusedHavesSuffices]
theorem toPGame_leftMoves (o : Ordinal) : o.toPGame.LeftMoves = o.out.α := by
rw [toPGame, LeftMoves]
#align ordinal.to_pgame_left_moves Ordinal.toPGame_leftMoves
@[simp, nolint unusedHavesSuffices]
theorem toPGame_rightMoves (o : Ordinal) : o.toPGame.RightMoves = PEmpty := by
rw [toPGame, RightMoves]
#align ordinal.to_pgame_right_moves Ordinal.toPGame_rightMoves
instance isEmpty_zero_toPGame_leftMoves : IsEmpty (toPGame 0).LeftMoves := by
rw [toPGame_leftMoves]; infer_instance
#align ordinal.is_empty_zero_to_pgame_left_moves Ordinal.isEmpty_zero_toPGame_leftMoves
instance isEmpty_toPGame_rightMoves (o : Ordinal) : IsEmpty o.toPGame.RightMoves := by
rw [toPGame_rightMoves]; infer_instance
#align ordinal.is_empty_to_pgame_right_moves Ordinal.isEmpty_toPGame_rightMoves
noncomputable def toLeftMovesToPGame {o : Ordinal} : Set.Iio o ≃ o.toPGame.LeftMoves :=
(enumIsoOut o).toEquiv.trans (Equiv.cast (toPGame_leftMoves o).symm)
#align ordinal.to_left_moves_to_pgame Ordinal.toLeftMovesToPGame
@[simp]
theorem toLeftMovesToPGame_symm_lt {o : Ordinal} (i : o.toPGame.LeftMoves) :
↑(toLeftMovesToPGame.symm i) < o :=
(toLeftMovesToPGame.symm i).prop
#align ordinal.to_left_moves_to_pgame_symm_lt Ordinal.toLeftMovesToPGame_symm_lt
@[nolint unusedHavesSuffices]
| Mathlib/SetTheory/Game/Ordinal.lean | 83 | 87 | theorem toPGame_moveLeft_hEq {o : Ordinal} :
have : IsWellOrder o.out.α (· < ·) := isWellOrder_out_lt o
HEq o.toPGame.moveLeft fun x : o.out.α => (typein (· < ·) x).toPGame := by |
rw [toPGame]
rfl
|
import Mathlib.RingTheory.Nilpotent.Basic
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import algebra.squarefree from "leanprover-community/mathlib"@"00d163e35035c3577c1c79fa53b68de17781ffc1"
variable {R : Type*}
def Squarefree [Monoid R] (r : R) : Prop :=
∀ x : R, x * x ∣ r → IsUnit x
#align squarefree Squarefree
theorem IsRelPrime.of_squarefree_mul [CommMonoid R] {m n : R} (h : Squarefree (m * n)) :
IsRelPrime m n := fun c hca hcb ↦ h c (mul_dvd_mul hca hcb)
@[simp]
theorem IsUnit.squarefree [CommMonoid R] {x : R} (h : IsUnit x) : Squarefree x := fun _ hdvd =>
isUnit_of_mul_isUnit_left (isUnit_of_dvd_unit hdvd h)
#align is_unit.squarefree IsUnit.squarefree
-- @[simp] -- Porting note (#10618): simp can prove this
theorem squarefree_one [CommMonoid R] : Squarefree (1 : R) :=
isUnit_one.squarefree
#align squarefree_one squarefree_one
@[simp]
theorem not_squarefree_zero [MonoidWithZero R] [Nontrivial R] : ¬Squarefree (0 : R) := by
erw [not_forall]
exact ⟨0, by simp⟩
#align not_squarefree_zero not_squarefree_zero
theorem Squarefree.ne_zero [MonoidWithZero R] [Nontrivial R] {m : R} (hm : Squarefree (m : R)) :
m ≠ 0 := by
rintro rfl
exact not_squarefree_zero hm
#align squarefree.ne_zero Squarefree.ne_zero
@[simp]
theorem Irreducible.squarefree [CommMonoid R] {x : R} (h : Irreducible x) : Squarefree x := by
rintro y ⟨z, hz⟩
rw [mul_assoc] at hz
rcases h.isUnit_or_isUnit hz with (hu | hu)
· exact hu
· apply isUnit_of_mul_isUnit_left hu
#align irreducible.squarefree Irreducible.squarefree
@[simp]
theorem Prime.squarefree [CancelCommMonoidWithZero R] {x : R} (h : Prime x) : Squarefree x :=
h.irreducible.squarefree
#align prime.squarefree Prime.squarefree
theorem Squarefree.of_mul_left [CommMonoid R] {m n : R} (hmn : Squarefree (m * n)) : Squarefree m :=
fun p hp => hmn p (dvd_mul_of_dvd_left hp n)
#align squarefree.of_mul_left Squarefree.of_mul_left
theorem Squarefree.of_mul_right [CommMonoid R] {m n : R} (hmn : Squarefree (m * n)) :
Squarefree n := fun p hp => hmn p (dvd_mul_of_dvd_right hp m)
#align squarefree.of_mul_right Squarefree.of_mul_right
theorem Squarefree.squarefree_of_dvd [CommMonoid R] {x y : R} (hdvd : x ∣ y) (hsq : Squarefree y) :
Squarefree x := fun _ h => hsq _ (h.trans hdvd)
#align squarefree.squarefree_of_dvd Squarefree.squarefree_of_dvd
theorem Squarefree.eq_zero_or_one_of_pow_of_not_isUnit [CommMonoid R] {x : R} {n : ℕ}
(h : Squarefree (x ^ n)) (h' : ¬ IsUnit x) :
n = 0 ∨ n = 1 := by
contrapose! h'
replace h' : 2 ≤ n := by omega
have : x * x ∣ x ^ n := by rw [← sq]; exact pow_dvd_pow x h'
exact h.squarefree_of_dvd this x (refl _)
namespace multiplicity
section CommMonoid
variable [CommMonoid R] [DecidableRel (Dvd.dvd : R → R → Prop)]
| Mathlib/Algebra/Squarefree/Basic.lean | 120 | 126 | theorem squarefree_iff_multiplicity_le_one (r : R) :
Squarefree r ↔ ∀ x : R, multiplicity x r ≤ 1 ∨ IsUnit x := by |
refine forall_congr' fun a => ?_
rw [← sq, pow_dvd_iff_le_multiplicity, or_iff_not_imp_left, not_le, imp_congr _ Iff.rfl]
norm_cast
rw [← one_add_one_eq_two]
simpa using PartENat.add_one_le_iff_lt (PartENat.natCast_ne_top 1)
|
import Mathlib.Topology.Order.IsLUB
open Set Filter TopologicalSpace Topology Function
open OrderDual (toDual ofDual)
variable {α β γ : Type*}
section DenselyOrdered
variable [TopologicalSpace α] [LinearOrder α] [OrderTopology α] [DenselyOrdered α] {a b : α}
{s : Set α}
theorem closure_Ioi' {a : α} (h : (Ioi a).Nonempty) : closure (Ioi a) = Ici a := by
apply Subset.antisymm
· exact closure_minimal Ioi_subset_Ici_self isClosed_Ici
· rw [← diff_subset_closure_iff, Ici_diff_Ioi_same, singleton_subset_iff]
exact isGLB_Ioi.mem_closure h
#align closure_Ioi' closure_Ioi'
@[simp]
theorem closure_Ioi (a : α) [NoMaxOrder α] : closure (Ioi a) = Ici a :=
closure_Ioi' nonempty_Ioi
#align closure_Ioi closure_Ioi
theorem closure_Iio' (h : (Iio a).Nonempty) : closure (Iio a) = Iic a :=
closure_Ioi' (α := αᵒᵈ) h
#align closure_Iio' closure_Iio'
@[simp]
theorem closure_Iio (a : α) [NoMinOrder α] : closure (Iio a) = Iic a :=
closure_Iio' nonempty_Iio
#align closure_Iio closure_Iio
@[simp]
theorem closure_Ioo {a b : α} (hab : a ≠ b) : closure (Ioo a b) = Icc a b := by
apply Subset.antisymm
· exact closure_minimal Ioo_subset_Icc_self isClosed_Icc
· cases' hab.lt_or_lt with hab hab
· rw [← diff_subset_closure_iff, Icc_diff_Ioo_same hab.le]
have hab' : (Ioo a b).Nonempty := nonempty_Ioo.2 hab
simp only [insert_subset_iff, singleton_subset_iff]
exact ⟨(isGLB_Ioo hab).mem_closure hab', (isLUB_Ioo hab).mem_closure hab'⟩
· rw [Icc_eq_empty_of_lt hab]
exact empty_subset _
#align closure_Ioo closure_Ioo
@[simp]
theorem closure_Ioc {a b : α} (hab : a ≠ b) : closure (Ioc a b) = Icc a b := by
apply Subset.antisymm
· exact closure_minimal Ioc_subset_Icc_self isClosed_Icc
· apply Subset.trans _ (closure_mono Ioo_subset_Ioc_self)
rw [closure_Ioo hab]
#align closure_Ioc closure_Ioc
@[simp]
theorem closure_Ico {a b : α} (hab : a ≠ b) : closure (Ico a b) = Icc a b := by
apply Subset.antisymm
· exact closure_minimal Ico_subset_Icc_self isClosed_Icc
· apply Subset.trans _ (closure_mono Ioo_subset_Ico_self)
rw [closure_Ioo hab]
#align closure_Ico closure_Ico
@[simp]
theorem interior_Ici' {a : α} (ha : (Iio a).Nonempty) : interior (Ici a) = Ioi a := by
rw [← compl_Iio, interior_compl, closure_Iio' ha, compl_Iic]
#align interior_Ici' interior_Ici'
theorem interior_Ici [NoMinOrder α] {a : α} : interior (Ici a) = Ioi a :=
interior_Ici' nonempty_Iio
#align interior_Ici interior_Ici
@[simp]
theorem interior_Iic' {a : α} (ha : (Ioi a).Nonempty) : interior (Iic a) = Iio a :=
interior_Ici' (α := αᵒᵈ) ha
#align interior_Iic' interior_Iic'
theorem interior_Iic [NoMaxOrder α] {a : α} : interior (Iic a) = Iio a :=
interior_Iic' nonempty_Ioi
#align interior_Iic interior_Iic
@[simp]
theorem interior_Icc [NoMinOrder α] [NoMaxOrder α] {a b : α} : interior (Icc a b) = Ioo a b := by
rw [← Ici_inter_Iic, interior_inter, interior_Ici, interior_Iic, Ioi_inter_Iio]
#align interior_Icc interior_Icc
@[simp]
theorem Icc_mem_nhds_iff [NoMinOrder α] [NoMaxOrder α] {a b x : α} :
Icc a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by
rw [← interior_Icc, mem_interior_iff_mem_nhds]
@[simp]
theorem interior_Ico [NoMinOrder α] {a b : α} : interior (Ico a b) = Ioo a b := by
rw [← Ici_inter_Iio, interior_inter, interior_Ici, interior_Iio, Ioi_inter_Iio]
#align interior_Ico interior_Ico
@[simp]
theorem Ico_mem_nhds_iff [NoMinOrder α] {a b x : α} : Ico a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by
rw [← interior_Ico, mem_interior_iff_mem_nhds]
@[simp]
theorem interior_Ioc [NoMaxOrder α] {a b : α} : interior (Ioc a b) = Ioo a b := by
rw [← Ioi_inter_Iic, interior_inter, interior_Ioi, interior_Iic, Ioi_inter_Iio]
#align interior_Ioc interior_Ioc
@[simp]
theorem Ioc_mem_nhds_iff [NoMaxOrder α] {a b x : α} : Ioc a b ∈ 𝓝 x ↔ x ∈ Ioo a b := by
rw [← interior_Ioc, mem_interior_iff_mem_nhds]
theorem closure_interior_Icc {a b : α} (h : a ≠ b) : closure (interior (Icc a b)) = Icc a b :=
(closure_minimal interior_subset isClosed_Icc).antisymm <|
calc
Icc a b = closure (Ioo a b) := (closure_Ioo h).symm
_ ⊆ closure (interior (Icc a b)) :=
closure_mono (interior_maximal Ioo_subset_Icc_self isOpen_Ioo)
#align closure_interior_Icc closure_interior_Icc
theorem Ioc_subset_closure_interior (a b : α) : Ioc a b ⊆ closure (interior (Ioc a b)) := by
rcases eq_or_ne a b with (rfl | h)
· simp
· calc
Ioc a b ⊆ Icc a b := Ioc_subset_Icc_self
_ = closure (Ioo a b) := (closure_Ioo h).symm
_ ⊆ closure (interior (Ioc a b)) :=
closure_mono (interior_maximal Ioo_subset_Ioc_self isOpen_Ioo)
#align Ioc_subset_closure_interior Ioc_subset_closure_interior
theorem Ico_subset_closure_interior (a b : α) : Ico a b ⊆ closure (interior (Ico a b)) := by
simpa only [dual_Ioc] using Ioc_subset_closure_interior (OrderDual.toDual b) (OrderDual.toDual a)
#align Ico_subset_closure_interior Ico_subset_closure_interior
@[simp]
theorem frontier_Ici' {a : α} (ha : (Iio a).Nonempty) : frontier (Ici a) = {a} := by
simp [frontier, ha]
#align frontier_Ici' frontier_Ici'
theorem frontier_Ici [NoMinOrder α] {a : α} : frontier (Ici a) = {a} :=
frontier_Ici' nonempty_Iio
#align frontier_Ici frontier_Ici
@[simp]
| Mathlib/Topology/Order/DenselyOrdered.lean | 160 | 161 | theorem frontier_Iic' {a : α} (ha : (Ioi a).Nonempty) : frontier (Iic a) = {a} := by |
simp [frontier, ha]
|
import Mathlib.Tactic.Ring
import Mathlib.Data.PNat.Prime
#align_import data.pnat.xgcd from "leanprover-community/mathlib"@"6afc9b06856ad973f6a2619e3e8a0a8d537a58f2"
open Nat
namespace PNat
structure XgcdType where
wp : ℕ
x : ℕ
y : ℕ
zp : ℕ
ap : ℕ
bp : ℕ
deriving Inhabited
#align pnat.xgcd_type PNat.XgcdType
namespace XgcdType
variable (u : XgcdType)
instance : SizeOf XgcdType :=
⟨fun u => u.bp⟩
instance : Repr XgcdType where
reprPrec
| g, _ => s!"[[[{repr (g.wp + 1)}, {repr g.x}], \
[{repr g.y}, {repr (g.zp + 1)}]], \
[{repr (g.ap + 1)}, {repr (g.bp + 1)}]]"
def mk' (w : ℕ+) (x : ℕ) (y : ℕ) (z : ℕ+) (a : ℕ+) (b : ℕ+) : XgcdType :=
mk w.val.pred x y z.val.pred a.val.pred b.val.pred
#align pnat.xgcd_type.mk' PNat.XgcdType.mk'
def w : ℕ+ :=
succPNat u.wp
#align pnat.xgcd_type.w PNat.XgcdType.w
def z : ℕ+ :=
succPNat u.zp
#align pnat.xgcd_type.z PNat.XgcdType.z
def a : ℕ+ :=
succPNat u.ap
#align pnat.xgcd_type.a PNat.XgcdType.a
def b : ℕ+ :=
succPNat u.bp
#align pnat.xgcd_type.b PNat.XgcdType.b
def r : ℕ :=
(u.ap + 1) % (u.bp + 1)
#align pnat.xgcd_type.r PNat.XgcdType.r
def q : ℕ :=
(u.ap + 1) / (u.bp + 1)
#align pnat.xgcd_type.q PNat.XgcdType.q
def qp : ℕ :=
u.q - 1
#align pnat.xgcd_type.qp PNat.XgcdType.qp
def vp : ℕ × ℕ :=
⟨u.wp + u.x + u.ap + u.wp * u.ap + u.x * u.bp, u.y + u.zp + u.bp + u.y * u.ap + u.zp * u.bp⟩
#align pnat.xgcd_type.vp PNat.XgcdType.vp
def v : ℕ × ℕ :=
⟨u.w * u.a + u.x * u.b, u.y * u.a + u.z * u.b⟩
#align pnat.xgcd_type.v PNat.XgcdType.v
def succ₂ (t : ℕ × ℕ) : ℕ × ℕ :=
⟨t.1.succ, t.2.succ⟩
#align pnat.xgcd_type.succ₂ PNat.XgcdType.succ₂
theorem v_eq_succ_vp : u.v = succ₂ u.vp := by
ext <;> dsimp [v, vp, w, z, a, b, succ₂] <;> ring_nf
#align pnat.xgcd_type.v_eq_succ_vp PNat.XgcdType.v_eq_succ_vp
def IsSpecial : Prop :=
u.wp + u.zp + u.wp * u.zp = u.x * u.y
#align pnat.xgcd_type.is_special PNat.XgcdType.IsSpecial
def IsSpecial' : Prop :=
u.w * u.z = succPNat (u.x * u.y)
#align pnat.xgcd_type.is_special' PNat.XgcdType.IsSpecial'
theorem isSpecial_iff : u.IsSpecial ↔ u.IsSpecial' := by
dsimp [IsSpecial, IsSpecial']
let ⟨wp, x, y, zp, ap, bp⟩ := u
constructor <;> intro h <;> simp [w, z, succPNat] at * <;>
simp only [← coe_inj, mul_coe, mk_coe] at *
· simp_all [← h, Nat.mul, Nat.succ_eq_add_one]; ring
· simp [Nat.succ_eq_add_one, Nat.mul_add, Nat.add_mul, ← Nat.add_assoc] at h; rw [← h]; ring
-- Porting note: Old code has been removed as it was much more longer.
#align pnat.xgcd_type.is_special_iff PNat.XgcdType.isSpecial_iff
def IsReduced : Prop :=
u.ap = u.bp
#align pnat.xgcd_type.is_reduced PNat.XgcdType.IsReduced
def IsReduced' : Prop :=
u.a = u.b
#align pnat.xgcd_type.is_reduced' PNat.XgcdType.IsReduced'
theorem isReduced_iff : u.IsReduced ↔ u.IsReduced' :=
succPNat_inj.symm
#align pnat.xgcd_type.is_reduced_iff PNat.XgcdType.isReduced_iff
def flip : XgcdType where
wp := u.zp
x := u.y
y := u.x
zp := u.wp
ap := u.bp
bp := u.ap
#align pnat.xgcd_type.flip PNat.XgcdType.flip
@[simp]
theorem flip_w : (flip u).w = u.z :=
rfl
#align pnat.xgcd_type.flip_w PNat.XgcdType.flip_w
@[simp]
theorem flip_x : (flip u).x = u.y :=
rfl
#align pnat.xgcd_type.flip_x PNat.XgcdType.flip_x
@[simp]
theorem flip_y : (flip u).y = u.x :=
rfl
#align pnat.xgcd_type.flip_y PNat.XgcdType.flip_y
@[simp]
theorem flip_z : (flip u).z = u.w :=
rfl
#align pnat.xgcd_type.flip_z PNat.XgcdType.flip_z
@[simp]
theorem flip_a : (flip u).a = u.b :=
rfl
#align pnat.xgcd_type.flip_a PNat.XgcdType.flip_a
@[simp]
theorem flip_b : (flip u).b = u.a :=
rfl
#align pnat.xgcd_type.flip_b PNat.XgcdType.flip_b
theorem flip_isReduced : (flip u).IsReduced ↔ u.IsReduced := by
dsimp [IsReduced, flip]
constructor <;> intro h <;> exact h.symm
#align pnat.xgcd_type.flip_is_reduced PNat.XgcdType.flip_isReduced
| Mathlib/Data/PNat/Xgcd.lean | 222 | 224 | theorem flip_isSpecial : (flip u).IsSpecial ↔ u.IsSpecial := by |
dsimp [IsSpecial, flip]
rw [mul_comm u.x, mul_comm u.zp, add_comm u.zp]
|
import Mathlib.Analysis.SpecialFunctions.Pow.Real
#align_import analysis.special_functions.log.monotone from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8"
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
theorem log_mul_self_monotoneOn : MonotoneOn (fun x : ℝ => log x * x) { x | 1 ≤ x } := by
-- TODO: can be strengthened to exp (-1) ≤ x
simp only [MonotoneOn, mem_setOf_eq]
intro x hex y hey hxy
have y_pos : 0 < y := lt_of_lt_of_le zero_lt_one hey
gcongr
rwa [le_log_iff_exp_le y_pos, Real.exp_zero]
#align real.log_mul_self_monotone_on Real.log_mul_self_monotoneOn
theorem log_div_self_antitoneOn : AntitoneOn (fun x : ℝ => log x / x) { x | exp 1 ≤ x } := by
simp only [AntitoneOn, mem_setOf_eq]
intro x hex y hey hxy
have x_pos : 0 < x := (exp_pos 1).trans_le hex
have y_pos : 0 < y := (exp_pos 1).trans_le hey
have hlogx : 1 ≤ log x := by rwa [le_log_iff_exp_le x_pos]
have hyx : 0 ≤ y / x - 1 := by rwa [le_sub_iff_add_le, le_div_iff x_pos, zero_add, one_mul]
rw [div_le_iff y_pos, ← sub_le_sub_iff_right (log x)]
calc
log y - log x = log (y / x) := by rw [log_div y_pos.ne' x_pos.ne']
_ ≤ y / x - 1 := log_le_sub_one_of_pos (div_pos y_pos x_pos)
_ ≤ log x * (y / x - 1) := le_mul_of_one_le_left hyx hlogx
_ = log x / x * y - log x := by ring
#align real.log_div_self_antitone_on Real.log_div_self_antitoneOn
theorem log_div_self_rpow_antitoneOn {a : ℝ} (ha : 0 < a) :
AntitoneOn (fun x : ℝ => log x / x ^ a) { x | exp (1 / a) ≤ x } := by
simp only [AntitoneOn, mem_setOf_eq]
intro x hex y _ hxy
have x_pos : 0 < x := lt_of_lt_of_le (exp_pos (1 / a)) hex
have y_pos : 0 < y := by linarith
have x_nonneg : 0 ≤ x := le_trans (le_of_lt (exp_pos (1 / a))) hex
have y_nonneg : 0 ≤ y := by linarith
nth_rw 1 [← rpow_one y]
nth_rw 1 [← rpow_one x]
rw [← div_self (ne_of_lt ha).symm, div_eq_mul_one_div a a, rpow_mul y_nonneg, rpow_mul x_nonneg,
log_rpow (rpow_pos_of_pos y_pos a), log_rpow (rpow_pos_of_pos x_pos a), mul_div_assoc,
mul_div_assoc, mul_le_mul_left (one_div_pos.mpr ha)]
refine log_div_self_antitoneOn ?_ ?_ ?_
· simp only [Set.mem_setOf_eq]
convert rpow_le_rpow _ hex (le_of_lt ha) using 1
· rw [← exp_mul]
simp only [Real.exp_eq_exp]
field_simp [(ne_of_lt ha).symm]
exact le_of_lt (exp_pos (1 / a))
· simp only [Set.mem_setOf_eq]
convert rpow_le_rpow _ (_root_.trans hex hxy) (le_of_lt ha) using 1
· rw [← exp_mul]
simp only [Real.exp_eq_exp]
field_simp [(ne_of_lt ha).symm]
exact le_of_lt (exp_pos (1 / a))
gcongr
#align real.log_div_self_rpow_antitone_on Real.log_div_self_rpow_antitoneOn
| Mathlib/Analysis/SpecialFunctions/Log/Monotone.lean | 85 | 88 | theorem log_div_sqrt_antitoneOn : AntitoneOn (fun x : ℝ => log x / √x) { x | exp 2 ≤ x } := by |
simp_rw [sqrt_eq_rpow]
convert @log_div_self_rpow_antitoneOn (1 / 2) (by norm_num)
norm_num
|
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic
import Mathlib.MeasureTheory.Integral.MeanInequalities
#align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9"
open Filter
open scoped ENNReal Topology
namespace MeasureTheory
section Bilinear
variable {α E F G : Type*} {m : MeasurableSpace α}
[NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] {μ : Measure α}
{f : α → E} {g : α → F}
theorem snorm_le_snorm_top_mul_snorm (p : ℝ≥0∞) (f : α → E) {g : α → F}
(hg : AEStronglyMeasurable g μ) (b : E → F → G)
(h : ∀ᵐ x ∂μ, ‖b (f x) (g x)‖₊ ≤ ‖f x‖₊ * ‖g x‖₊) :
snorm (fun x => b (f x) (g x)) p μ ≤ snorm f ∞ μ * snorm g p μ := by
by_cases hp_top : p = ∞
· simp_rw [hp_top, snorm_exponent_top]
refine le_trans (essSup_mono_ae <| h.mono fun a ha => ?_) (ENNReal.essSup_mul_le _ _)
simp_rw [Pi.mul_apply, ← ENNReal.coe_mul, ENNReal.coe_le_coe]
exact ha
by_cases hp_zero : p = 0
· simp only [hp_zero, snorm_exponent_zero, mul_zero, le_zero_iff]
simp_rw [snorm_eq_lintegral_rpow_nnnorm hp_zero hp_top, snorm_exponent_top, snormEssSup]
calc
(∫⁻ x, (‖b (f x) (g x)‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) ≤
(∫⁻ x, (‖f x‖₊ : ℝ≥0∞) ^ p.toReal * (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) := by
gcongr ?_ ^ _
refine lintegral_mono_ae (h.mono fun a ha => ?_)
rw [← ENNReal.mul_rpow_of_nonneg _ _ ENNReal.toReal_nonneg]
refine ENNReal.rpow_le_rpow ?_ ENNReal.toReal_nonneg
rw [← ENNReal.coe_mul, ENNReal.coe_le_coe]
exact ha
_ ≤
(∫⁻ x, essSup (fun x => (‖f x‖₊ : ℝ≥0∞)) μ ^ p.toReal * (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^
(1 / p.toReal) := by
gcongr ?_ ^ _
refine lintegral_mono_ae ?_
filter_upwards [@ENNReal.ae_le_essSup _ _ μ fun x => (‖f x‖₊ : ℝ≥0∞)] with x hx
gcongr
_ = essSup (fun x => (‖f x‖₊ : ℝ≥0∞)) μ *
(∫⁻ x, (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) := by
rw [lintegral_const_mul'']
swap; · exact hg.nnnorm.aemeasurable.coe_nnreal_ennreal.pow aemeasurable_const
rw [ENNReal.mul_rpow_of_nonneg]
swap;
· rw [one_div_nonneg]
exact ENNReal.toReal_nonneg
rw [← ENNReal.rpow_mul, one_div, mul_inv_cancel, ENNReal.rpow_one]
rw [Ne, ENNReal.toReal_eq_zero_iff, not_or]
exact ⟨hp_zero, hp_top⟩
#align measure_theory.snorm_le_snorm_top_mul_snorm MeasureTheory.snorm_le_snorm_top_mul_snorm
theorem snorm_le_snorm_mul_snorm_top (p : ℝ≥0∞) {f : α → E} (hf : AEStronglyMeasurable f μ)
(g : α → F) (b : E → F → G) (h : ∀ᵐ x ∂μ, ‖b (f x) (g x)‖₊ ≤ ‖f x‖₊ * ‖g x‖₊) :
snorm (fun x => b (f x) (g x)) p μ ≤ snorm f p μ * snorm g ∞ μ :=
calc
snorm (fun x ↦ b (f x) (g x)) p μ ≤ snorm g ∞ μ * snorm f p μ :=
snorm_le_snorm_top_mul_snorm p g hf (flip b) <| by simpa only [mul_comm] using h
_ = snorm f p μ * snorm g ∞ μ := mul_comm _ _
#align measure_theory.snorm_le_snorm_mul_snorm_top MeasureTheory.snorm_le_snorm_mul_snorm_top
theorem snorm'_le_snorm'_mul_snorm' {p q r : ℝ} (hf : AEStronglyMeasurable f μ)
(hg : AEStronglyMeasurable g μ) (b : E → F → G)
(h : ∀ᵐ x ∂μ, ‖b (f x) (g x)‖₊ ≤ ‖f x‖₊ * ‖g x‖₊) (hp0_lt : 0 < p) (hpq : p < q)
(hpqr : 1 / p = 1 / q + 1 / r) :
snorm' (fun x => b (f x) (g x)) p μ ≤ snorm' f q μ * snorm' g r μ := by
rw [snorm']
calc
(∫⁻ a : α, ↑‖b (f a) (g a)‖₊ ^ p ∂μ) ^ (1 / p) ≤
(∫⁻ a : α, ↑(‖f a‖₊ * ‖g a‖₊) ^ p ∂μ) ^ (1 / p) :=
(ENNReal.rpow_le_rpow_iff <| one_div_pos.mpr hp0_lt).mpr <|
lintegral_mono_ae <|
h.mono fun a ha => (ENNReal.rpow_le_rpow_iff hp0_lt).mpr <| ENNReal.coe_le_coe.mpr <| ha
_ ≤ _ := ?_
simp_rw [snorm', ENNReal.coe_mul]
exact ENNReal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm hg.ennnorm
#align measure_theory.snorm'_le_snorm'_mul_snorm' MeasureTheory.snorm'_le_snorm'_mul_snorm'
| Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean | 227 | 263 | theorem snorm_le_snorm_mul_snorm_of_nnnorm {p q r : ℝ≥0∞}
(hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (b : E → F → G)
(h : ∀ᵐ x ∂μ, ‖b (f x) (g x)‖₊ ≤ ‖f x‖₊ * ‖g x‖₊) (hpqr : 1 / p = 1 / q + 1 / r) :
snorm (fun x => b (f x) (g x)) p μ ≤ snorm f q μ * snorm g r μ := by |
by_cases hp_zero : p = 0
· simp [hp_zero]
have hq_ne_zero : q ≠ 0 := by
intro hq_zero
simp only [hq_zero, hp_zero, one_div, ENNReal.inv_zero, top_add, ENNReal.inv_eq_top] at hpqr
have hr_ne_zero : r ≠ 0 := by
intro hr_zero
simp only [hr_zero, hp_zero, one_div, ENNReal.inv_zero, add_top, ENNReal.inv_eq_top] at hpqr
by_cases hq_top : q = ∞
· have hpr : p = r := by
simpa only [hq_top, one_div, ENNReal.inv_top, zero_add, inv_inj] using hpqr
rw [← hpr, hq_top]
exact snorm_le_snorm_top_mul_snorm p f hg b h
by_cases hr_top : r = ∞
· have hpq : p = q := by
simpa only [hr_top, one_div, ENNReal.inv_top, add_zero, inv_inj] using hpqr
rw [← hpq, hr_top]
exact snorm_le_snorm_mul_snorm_top p hf g b h
have hpq : p < q := by
suffices 1 / q < 1 / p by rwa [one_div, one_div, ENNReal.inv_lt_inv] at this
rw [hpqr]
refine ENNReal.lt_add_right ?_ ?_
· simp only [hq_ne_zero, one_div, Ne, ENNReal.inv_eq_top, not_false_iff]
· simp only [hr_top, one_div, Ne, ENNReal.inv_eq_zero, not_false_iff]
rw [snorm_eq_snorm' hp_zero (hpq.trans_le le_top).ne, snorm_eq_snorm' hq_ne_zero hq_top,
snorm_eq_snorm' hr_ne_zero hr_top]
refine snorm'_le_snorm'_mul_snorm' hf hg _ h ?_ ?_ ?_
· exact ENNReal.toReal_pos hp_zero (hpq.trans_le le_top).ne
· exact ENNReal.toReal_strict_mono hq_top hpq
rw [← ENNReal.one_toReal, ← ENNReal.toReal_div, ← ENNReal.toReal_div, ← ENNReal.toReal_div, hpqr,
ENNReal.toReal_add]
· simp only [hq_ne_zero, one_div, Ne, ENNReal.inv_eq_top, not_false_iff]
· simp only [hr_ne_zero, one_div, Ne, ENNReal.inv_eq_top, not_false_iff]
|
import Mathlib.CategoryTheory.Balanced
import Mathlib.CategoryTheory.LiftingProperties.Basic
#align_import category_theory.limits.shapes.strong_epi from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C]
variable {P Q : C}
class StrongEpi (f : P ⟶ Q) : Prop where
epi : Epi f
llp : ∀ ⦃X Y : C⦄ (z : X ⟶ Y) [Mono z], HasLiftingProperty f z
#align category_theory.strong_epi CategoryTheory.StrongEpi
#align category_theory.strong_epi.epi CategoryTheory.StrongEpi.epi
theorem StrongEpi.mk' {f : P ⟶ Q} [Epi f]
(hf : ∀ (X Y : C) (z : X ⟶ Y)
(_ : Mono z) (u : P ⟶ X) (v : Q ⟶ Y) (sq : CommSq u f z v), sq.HasLift) :
StrongEpi f :=
{ epi := inferInstance
llp := fun {X Y} z hz => ⟨fun {u v} sq => hf X Y z hz u v sq⟩ }
#align category_theory.strong_epi.mk' CategoryTheory.StrongEpi.mk'
class StrongMono (f : P ⟶ Q) : Prop where
mono : Mono f
rlp : ∀ ⦃X Y : C⦄ (z : X ⟶ Y) [Epi z], HasLiftingProperty z f
#align category_theory.strong_mono CategoryTheory.StrongMono
theorem StrongMono.mk' {f : P ⟶ Q} [Mono f]
(hf : ∀ (X Y : C) (z : X ⟶ Y) (_ : Epi z) (u : X ⟶ P)
(v : Y ⟶ Q) (sq : CommSq u z f v), sq.HasLift) : StrongMono f where
mono := inferInstance
rlp := fun {X Y} z hz => ⟨fun {u v} sq => hf X Y z hz u v sq⟩
#align category_theory.strong_mono.mk' CategoryTheory.StrongMono.mk'
attribute [instance 100] StrongEpi.llp
attribute [instance 100] StrongMono.rlp
instance (priority := 100) epi_of_strongEpi (f : P ⟶ Q) [StrongEpi f] : Epi f :=
StrongEpi.epi
#align category_theory.epi_of_strong_epi CategoryTheory.epi_of_strongEpi
instance (priority := 100) mono_of_strongMono (f : P ⟶ Q) [StrongMono f] : Mono f :=
StrongMono.mono
#align category_theory.mono_of_strong_mono CategoryTheory.mono_of_strongMono
section
variable {R : C} (f : P ⟶ Q) (g : Q ⟶ R)
theorem strongEpi_comp [StrongEpi f] [StrongEpi g] : StrongEpi (f ≫ g) :=
{ epi := epi_comp _ _
llp := by
intros
infer_instance }
#align category_theory.strong_epi_comp CategoryTheory.strongEpi_comp
theorem strongMono_comp [StrongMono f] [StrongMono g] : StrongMono (f ≫ g) :=
{ mono := mono_comp _ _
rlp := by
intros
infer_instance }
#align category_theory.strong_mono_comp CategoryTheory.strongMono_comp
| Mathlib/CategoryTheory/Limits/Shapes/StrongEpi.lean | 114 | 123 | theorem strongEpi_of_strongEpi [StrongEpi (f ≫ g)] : StrongEpi g :=
{ epi := epi_of_epi f g
llp := fun {X Y} z _ => by
constructor
intro u v sq
have h₀ : (f ≫ u) ≫ z = (f ≫ g) ≫ v := by | simp only [Category.assoc, sq.w]
exact
CommSq.HasLift.mk'
⟨(CommSq.mk h₀).lift, by
simp only [← cancel_mono z, Category.assoc, CommSq.fac_right, sq.w], by simp⟩ }
|
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 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']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
#align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite
theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by
rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
#align measure_theory.condexp_of_strongly_measurable MeasureTheory.condexp_of_stronglyMeasurable
theorem condexp_const (hm : m ≤ m0) (c : F') [IsFiniteMeasure μ] :
μ[fun _ : α => c|m] = fun _ => c :=
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_const _ _ m _ _) (integrable_const c)
#align measure_theory.condexp_const MeasureTheory.condexp_const
theorem condexp_ae_eq_condexpL1 (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (f : α → F') :
μ[f|m] =ᵐ[μ] condexpL1 hm μ f := by
rw [condexp_of_sigmaFinite hm]
by_cases hfi : Integrable f μ
· rw [if_pos hfi]
by_cases hfm : StronglyMeasurable[m] f
· rw [if_pos hfm]
exact (condexpL1_of_aestronglyMeasurable' (StronglyMeasurable.aeStronglyMeasurable' hfm)
hfi).symm
· rw [if_neg hfm]
exact (AEStronglyMeasurable'.ae_eq_mk aestronglyMeasurable'_condexpL1).symm
rw [if_neg hfi, condexpL1_undef hfi]
exact (coeFn_zero _ _ _).symm
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1 MeasureTheory.condexp_ae_eq_condexpL1
theorem condexp_ae_eq_condexpL1CLM (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ) :
μ[f|m] =ᵐ[μ] condexpL1CLM F' hm μ (hf.toL1 f) := by
refine (condexp_ae_eq_condexpL1 hm f).trans (eventually_of_forall fun x => ?_)
rw [condexpL1_eq hf]
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1_clm MeasureTheory.condexp_ae_eq_condexpL1CLM
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 159 | 165 | theorem condexp_undef (hf : ¬Integrable f μ) : μ[f|m] = 0 := by |
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]
haveI : SigmaFinite (μ.trim hm) := hμm
rw [condexp_of_sigmaFinite, if_neg hf]
|
import Mathlib.Algebra.CharP.Basic
import Mathlib.Algebra.CharP.Algebra
import Mathlib.Data.Nat.Prime
#align_import algebra.char_p.exp_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe u
variable (R : Type u)
section Semiring
variable [Semiring R]
class inductive ExpChar (R : Type u) [Semiring R] : ℕ → Prop
| zero [CharZero R] : ExpChar R 1
| prime {q : ℕ} (hprime : q.Prime) [hchar : CharP R q] : ExpChar R q
#align exp_char ExpChar
#align exp_char.prime ExpChar.prime
instance expChar_prime (p) [CharP R p] [Fact p.Prime] : ExpChar R p := ExpChar.prime Fact.out
instance expChar_zero [CharZero R] : ExpChar R 1 := ExpChar.zero
instance (S : Type*) [Semiring S] (p) [ExpChar R p] [ExpChar S p] : ExpChar (R × S) p := by
obtain hp | ⟨hp⟩ := ‹ExpChar R p›
· have := Prod.charZero_of_left R S; exact .zero
obtain _ | _ := ‹ExpChar S p›
· exact (Nat.not_prime_one hp).elim
· have := Prod.charP R S p; exact .prime hp
variable {R} in
theorem ExpChar.eq {p q : ℕ} (hp : ExpChar R p) (hq : ExpChar R q) : p = q := by
cases' hp with hp _ hp' hp
· cases' hq with hq _ hq' hq
exacts [rfl, False.elim (Nat.not_prime_zero (CharP.eq R hq (CharP.ofCharZero R) ▸ hq'))]
· cases' hq with hq _ hq' hq
exacts [False.elim (Nat.not_prime_zero (CharP.eq R hp (CharP.ofCharZero R) ▸ hp')),
CharP.eq R hp hq]
theorem ExpChar.congr {p : ℕ} (q : ℕ) [hq : ExpChar R q] (h : q = p) : ExpChar R p := h ▸ hq
noncomputable def ringExpChar (R : Type*) [NonAssocSemiring R] : ℕ := max (ringChar R) 1
theorem ringExpChar.eq (q : ℕ) [h : ExpChar R q] : ringExpChar R = q := by
cases' h with _ _ h _
· haveI := CharP.ofCharZero R
rw [ringExpChar, ringChar.eq R 0]; rfl
rw [ringExpChar, ringChar.eq R q]
exact Nat.max_eq_left h.one_lt.le
@[simp]
theorem ringExpChar.eq_one (R : Type*) [NonAssocSemiring R] [CharZero R] : ringExpChar R = 1 := by
rw [ringExpChar, ringChar.eq_zero, max_eq_right zero_le_one]
theorem expChar_one_of_char_zero (q : ℕ) [hp : CharP R 0] [hq : ExpChar R q] : q = 1 := by
cases' hq with q hq_one hq_prime hq_hchar
· rfl
· exact False.elim <| hq_prime.ne_zero <| hq_hchar.eq R hp
#align exp_char_one_of_char_zero expChar_one_of_char_zero
theorem char_eq_expChar_iff (p q : ℕ) [hp : CharP R p] [hq : ExpChar R q] : p = q ↔ p.Prime := by
cases' hq with q hq_one hq_prime hq_hchar
· rw [(CharP.eq R hp inferInstance : p = 0)]
decide
· exact ⟨fun hpq => hpq.symm ▸ hq_prime, fun _ => CharP.eq R hp hq_hchar⟩
#align char_eq_exp_char_iff char_eq_expChar_iff
section Nontrivial
variable [Nontrivial R]
theorem char_zero_of_expChar_one (p : ℕ) [hp : CharP R p] [hq : ExpChar R 1] : p = 0 := by
cases hq
· exact CharP.eq R hp inferInstance
· exact False.elim (CharP.char_ne_one R 1 rfl)
#align char_zero_of_exp_char_one char_zero_of_expChar_one
-- This could be an instance, but there are no `ExpChar R 1` instances in mathlib.
| Mathlib/Algebra/CharP/ExpChar.lean | 113 | 116 | theorem charZero_of_expChar_one' [hq : ExpChar R 1] : CharZero R := by |
cases hq
· assumption
· exact False.elim (CharP.char_ne_one R 1 rfl)
|
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"
open Function Set
-- Porting note: Used to be section Sort
section sort
variable {G M N : Type*} {α β ι : Sort*} [CommMonoid M] [CommMonoid N]
section
open scoped Classical
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
@[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
notation3"∑ᶠ "(...)", "r:67:(scoped f => finsum f) => r
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_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
| Mathlib/Algebra/BigOperators/Finprod.lean | 331 | 335 | 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) _
|
import Mathlib.Algebra.Quotient
import Mathlib.Algebra.Group.Subgroup.Actions
import Mathlib.Algebra.Group.Subgroup.MulOpposite
import Mathlib.GroupTheory.GroupAction.Basic
import Mathlib.SetTheory.Cardinal.Finite
#align_import group_theory.coset from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
open Function MulOpposite Set
open scoped Pointwise
variable {α : Type*}
#align left_coset HSMul.hSMul
#align left_add_coset HVAdd.hVAdd
#noalign right_coset
#noalign right_add_coset
section CosetSemigroup
variable [Semigroup α]
@[to_additive leftAddCoset_assoc]
theorem leftCoset_assoc (s : Set α) (a b : α) : a • (b • s) = (a * b) • s := by
simp [← image_smul, (image_comp _ _ _).symm, Function.comp, mul_assoc]
#align left_coset_assoc leftCoset_assoc
#align left_add_coset_assoc leftAddCoset_assoc
@[to_additive rightAddCoset_assoc]
theorem rightCoset_assoc (s : Set α) (a b : α) : op b • op a • s = op (a * b) • s := by
simp [← image_smul, (image_comp _ _ _).symm, Function.comp, mul_assoc]
#align right_coset_assoc rightCoset_assoc
#align right_add_coset_assoc rightAddCoset_assoc
@[to_additive leftAddCoset_rightAddCoset]
| Mathlib/GroupTheory/Coset.lean | 117 | 118 | theorem leftCoset_rightCoset (s : Set α) (a b : α) : op b • a • s = a • (op b • s) := by |
simp [← image_smul, (image_comp _ _ _).symm, Function.comp, mul_assoc]
|
import Mathlib.Algebra.Module.LinearMap.Basic
import Mathlib.LinearAlgebra.Basic
import Mathlib.LinearAlgebra.Basis
import Mathlib.LinearAlgebra.BilinearMap
#align_import linear_algebra.sesquilinear_form from "leanprover-community/mathlib"@"87c54600fe3cdc7d32ff5b50873ac724d86aef8d"
variable {R R₁ R₂ R₃ M M₁ M₂ M₃ Mₗ₁ Mₗ₁' Mₗ₂ Mₗ₂' K K₁ K₂ V V₁ V₂ n : Type*}
namespace LinearMap
section CommRing
-- the `ₗ` subscript variables are for special cases about linear (as opposed to semilinear) maps
variable [CommSemiring R] [CommSemiring R₁] [AddCommMonoid M₁] [Module R₁ M₁] [CommSemiring R₂]
[AddCommMonoid M₂] [Module R₂ M₂] [AddCommMonoid M] [Module R M]
{I₁ : R₁ →+* R} {I₂ : R₂ →+* R} {I₁' : R₁ →+* R}
def IsOrtho (B : M₁ →ₛₗ[I₁] M₂ →ₛₗ[I₂] M) (x : M₁) (y : M₂) : Prop :=
B x y = 0
#align linear_map.is_ortho LinearMap.IsOrtho
theorem isOrtho_def {B : M₁ →ₛₗ[I₁] M₂ →ₛₗ[I₂] M} {x y} : B.IsOrtho x y ↔ B x y = 0 :=
Iff.rfl
#align linear_map.is_ortho_def LinearMap.isOrtho_def
| Mathlib/LinearAlgebra/SesquilinearForm.lean | 64 | 66 | theorem isOrtho_zero_left (B : M₁ →ₛₗ[I₁] M₂ →ₛₗ[I₂] M) (x) : IsOrtho B (0 : M₁) x := by |
dsimp only [IsOrtho]
rw [map_zero B, zero_apply]
|
import Mathlib.MeasureTheory.Measure.Typeclasses
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.MeasurableSpace.CountablyGenerated
open Function Set
open scoped ENNReal Classical
noncomputable section
variable {α β δ : Type*} [MeasurableSpace α] [MeasurableSpace β] {s : Set α} {a : α}
namespace MeasureTheory
namespace Measure
def dirac (a : α) : Measure α := (OuterMeasure.dirac a).toMeasure (by simp)
#align measure_theory.measure.dirac MeasureTheory.Measure.dirac
instance : MeasureSpace PUnit :=
⟨dirac PUnit.unit⟩
theorem le_dirac_apply {a} : s.indicator 1 a ≤ dirac a s :=
OuterMeasure.dirac_apply a s ▸ le_toMeasure_apply _ _ _
#align measure_theory.measure.le_dirac_apply MeasureTheory.Measure.le_dirac_apply
@[simp]
theorem dirac_apply' (a : α) (hs : MeasurableSet s) : dirac a s = s.indicator 1 a :=
toMeasure_apply _ _ hs
#align measure_theory.measure.dirac_apply' MeasureTheory.Measure.dirac_apply'
@[simp]
theorem dirac_apply_of_mem {a : α} (h : a ∈ s) : dirac a s = 1 := by
have : ∀ t : Set α, a ∈ t → t.indicator (1 : α → ℝ≥0∞) a = 1 := fun t ht => indicator_of_mem ht 1
refine le_antisymm (this univ trivial ▸ ?_) (this s h ▸ le_dirac_apply)
rw [← dirac_apply' a MeasurableSet.univ]
exact measure_mono (subset_univ s)
#align measure_theory.measure.dirac_apply_of_mem MeasureTheory.Measure.dirac_apply_of_mem
@[simp]
theorem dirac_apply [MeasurableSingletonClass α] (a : α) (s : Set α) :
dirac a s = s.indicator 1 a := by
by_cases h : a ∈ s; · rw [dirac_apply_of_mem h, indicator_of_mem h, Pi.one_apply]
rw [indicator_of_not_mem h, ← nonpos_iff_eq_zero]
calc
dirac a s ≤ dirac a {a}ᶜ := measure_mono (subset_compl_comm.1 <| singleton_subset_iff.2 h)
_ = 0 := by simp [dirac_apply' _ (measurableSet_singleton _).compl]
#align measure_theory.measure.dirac_apply MeasureTheory.Measure.dirac_apply
theorem map_dirac {f : α → β} (hf : Measurable f) (a : α) : (dirac a).map f = dirac (f a) :=
ext fun s hs => by simp [hs, map_apply hf hs, hf hs, indicator_apply]
#align measure_theory.measure.map_dirac MeasureTheory.Measure.map_dirac
lemma map_const (μ : Measure α) (c : β) : μ.map (fun _ ↦ c) = (μ Set.univ) • dirac c := by
ext s hs
simp only [aemeasurable_const, measurable_const, Measure.coe_smul, Pi.smul_apply,
dirac_apply' _ hs, smul_eq_mul]
classical
rw [Measure.map_apply measurable_const hs, Set.preimage_const]
by_cases hsc : c ∈ s
· rw [(Set.indicator_eq_one_iff_mem _).mpr hsc, mul_one, if_pos hsc]
· rw [if_neg hsc, (Set.indicator_eq_zero_iff_not_mem _).mpr hsc, measure_empty, mul_zero]
@[simp]
theorem restrict_singleton (μ : Measure α) (a : α) : μ.restrict {a} = μ {a} • dirac a := by
ext1 s hs
by_cases ha : a ∈ s
· have : s ∩ {a} = {a} := by simpa
simp [*]
· have : s ∩ {a} = ∅ := inter_singleton_eq_empty.2 ha
simp [*]
#align measure_theory.measure.restrict_singleton MeasureTheory.Measure.restrict_singleton
| Mathlib/MeasureTheory/Measure/Dirac.lean | 87 | 92 | theorem map_eq_sum [Countable β] [MeasurableSingletonClass β] (μ : Measure α) (f : α → β)
(hf : Measurable f) : μ.map f = sum fun b : β => μ (f ⁻¹' {b}) • dirac b := by |
ext s
have : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y}) := fun y _ => hf (measurableSet_singleton _)
simp [← tsum_measure_preimage_singleton (to_countable s) this, *,
tsum_subtype s fun b => μ (f ⁻¹' {b}), ← indicator_mul_right s fun b => μ (f ⁻¹' {b})]
|
import Mathlib.Analysis.Quaternion
import Mathlib.Analysis.NormedSpace.Exponential
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Series
#align_import analysis.normed_space.quaternion_exponential from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open scoped Quaternion Nat
open NormedSpace
namespace Quaternion
@[simp, norm_cast]
theorem exp_coe (r : ℝ) : exp ℝ (r : ℍ[ℝ]) = ↑(exp ℝ r) :=
(map_exp ℝ (algebraMap ℝ ℍ[ℝ]) (continuous_algebraMap _ _) _).symm
#align quaternion.exp_coe Quaternion.exp_coe
theorem expSeries_even_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) (n : ℕ) :
expSeries ℝ (Quaternion ℝ) (2 * n) (fun _ => q) =
↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / (2 * n)!) := by
rw [expSeries_apply_eq]
have hq2 : q ^ 2 = -normSq q := sq_eq_neg_normSq.mpr hq
letI k : ℝ := ↑(2 * n)!
calc
k⁻¹ • q ^ (2 * n) = k⁻¹ • (-normSq q) ^ n := by rw [pow_mul, hq2]
_ = k⁻¹ • ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n)) := ?_
_ = ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / k) := ?_
· congr 1
rw [neg_pow, normSq_eq_norm_mul_self, pow_mul, sq]
push_cast
rfl
· rw [← coe_mul_eq_smul, div_eq_mul_inv]
norm_cast
ring_nf
theorem expSeries_odd_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) (n : ℕ) :
expSeries ℝ (Quaternion ℝ) (2 * n + 1) (fun _ => q) =
(((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / (2 * n + 1)!) / ‖q‖) • q := by
rw [expSeries_apply_eq]
obtain rfl | hq0 := eq_or_ne q 0
· simp
have hq2 : q ^ 2 = -normSq q := sq_eq_neg_normSq.mpr hq
have hqn := norm_ne_zero_iff.mpr hq0
let k : ℝ := ↑(2 * n + 1)!
calc
k⁻¹ • q ^ (2 * n + 1) = k⁻¹ • ((-normSq q) ^ n * q) := by rw [pow_succ, pow_mul, hq2]
_ = k⁻¹ • ((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n)) • q := ?_
_ = ((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / k / ‖q‖) • q := ?_
· congr 1
rw [neg_pow, normSq_eq_norm_mul_self, pow_mul, sq, ← coe_mul_eq_smul]
norm_cast
· rw [smul_smul]
congr 1
simp_rw [pow_succ, mul_div_assoc, div_div_cancel_left' hqn]
ring
theorem hasSum_expSeries_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) {c s : ℝ}
(hc : HasSum (fun n => (-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / (2 * n)!) c)
(hs : HasSum (fun n => (-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / (2 * n + 1)!) s) :
HasSum (fun n => expSeries ℝ (Quaternion ℝ) n fun _ => q) (↑c + (s / ‖q‖) • q) := by
replace hc := hasSum_coe.mpr hc
replace hs := (hs.div_const ‖q‖).smul_const q
refine HasSum.even_add_odd ?_ ?_
· convert hc using 1
ext n : 1
rw [expSeries_even_of_imaginary hq]
· convert hs using 1
ext n : 1
rw [expSeries_odd_of_imaginary hq]
#align quaternion.has_sum_exp_series_of_imaginary Quaternion.hasSum_expSeries_of_imaginary
| Mathlib/Analysis/NormedSpace/QuaternionExponential.lean | 98 | 103 | theorem exp_of_re_eq_zero (q : Quaternion ℝ) (hq : q.re = 0) :
exp ℝ q = ↑(Real.cos ‖q‖) + (Real.sin ‖q‖ / ‖q‖) • q := by |
rw [exp_eq_tsum]
refine HasSum.tsum_eq ?_
simp_rw [← expSeries_apply_eq]
exact hasSum_expSeries_of_imaginary hq (Real.hasSum_cos _) (Real.hasSum_sin _)
|
import Mathlib.Data.List.Join
#align_import data.list.permutation from "leanprover-community/mathlib"@"dd71334db81d0bd444af1ee339a29298bef40734"
-- Make sure we don't import algebra
assert_not_exists Monoid
open Nat
variable {α β : Type*}
namespace List
theorem permutationsAux2_fst (t : α) (ts : List α) (r : List β) :
∀ (ys : List α) (f : List α → β), (permutationsAux2 t ts r ys f).1 = ys ++ ts
| [], f => rfl
| y :: ys, f => by simp [permutationsAux2, permutationsAux2_fst t _ _ ys]
#align list.permutations_aux2_fst List.permutationsAux2_fst
@[simp]
theorem permutationsAux2_snd_nil (t : α) (ts : List α) (r : List β) (f : List α → β) :
(permutationsAux2 t ts r [] f).2 = r :=
rfl
#align list.permutations_aux2_snd_nil List.permutationsAux2_snd_nil
@[simp]
| Mathlib/Data/List/Permutation.lean | 69 | 73 | theorem permutationsAux2_snd_cons (t : α) (ts : List α) (r : List β) (y : α) (ys : List α)
(f : List α → β) :
(permutationsAux2 t ts r (y :: ys) f).2 =
f (t :: y :: ys ++ ts) :: (permutationsAux2 t ts r ys fun x : List α => f (y :: x)).2 := by |
simp [permutationsAux2, permutationsAux2_fst t _ _ ys]
|
import Mathlib.RingTheory.RootsOfUnity.Basic
import Mathlib.FieldTheory.Minpoly.IsIntegrallyClosed
import Mathlib.Algebra.GCDMonoid.IntegrallyClosed
import Mathlib.FieldTheory.Finite.Basic
#align_import ring_theory.roots_of_unity.minpoly from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
open minpoly Polynomial
open scoped Polynomial
namespace IsPrimitiveRoot
section CommRing
variable {n : ℕ} {K : Type*} [CommRing K] {μ : K} (h : IsPrimitiveRoot μ n)
-- Porting note: `hpos` was in the `variable` line, with an `omit` in mathlib3 just after this
-- declaration. For some reason, in Lean4, `hpos` gets included also in the declarations below,
-- even if it is not used in the proof.
theorem isIntegral (hpos : 0 < n) : IsIntegral ℤ μ := by
use X ^ n - 1
constructor
· exact monic_X_pow_sub_C 1 (ne_of_lt hpos).symm
· simp only [((IsPrimitiveRoot.iff_def μ n).mp h).left, eval₂_one, eval₂_X_pow, eval₂_sub,
sub_self]
#align is_primitive_root.is_integral IsPrimitiveRoot.isIntegral
section IsDomain
variable [IsDomain K] [CharZero K]
theorem minpoly_dvd_x_pow_sub_one : minpoly ℤ μ ∣ X ^ n - 1 := by
rcases n.eq_zero_or_pos with (rfl | h0)
· simp
apply minpoly.isIntegrallyClosed_dvd (isIntegral h h0)
simp only [((IsPrimitiveRoot.iff_def μ n).mp h).left, aeval_X_pow, eq_intCast, Int.cast_one,
aeval_one, AlgHom.map_sub, sub_self]
set_option linter.uppercaseLean3 false in
#align is_primitive_root.minpoly_dvd_X_pow_sub_one IsPrimitiveRoot.minpoly_dvd_x_pow_sub_one
theorem separable_minpoly_mod {p : ℕ} [Fact p.Prime] (hdiv : ¬p ∣ n) :
Separable (map (Int.castRingHom (ZMod p)) (minpoly ℤ μ)) := by
have hdvd : map (Int.castRingHom (ZMod p)) (minpoly ℤ μ) ∣ X ^ n - 1 := by
convert RingHom.map_dvd (mapRingHom (Int.castRingHom (ZMod p)))
(minpoly_dvd_x_pow_sub_one h)
simp only [map_sub, map_pow, coe_mapRingHom, map_X, map_one]
refine Separable.of_dvd (separable_X_pow_sub_C 1 ?_ one_ne_zero) hdvd
by_contra hzero
exact hdiv ((ZMod.natCast_zmod_eq_zero_iff_dvd n p).1 hzero)
#align is_primitive_root.separable_minpoly_mod IsPrimitiveRoot.separable_minpoly_mod
theorem squarefree_minpoly_mod {p : ℕ} [Fact p.Prime] (hdiv : ¬p ∣ n) :
Squarefree (map (Int.castRingHom (ZMod p)) (minpoly ℤ μ)) :=
(separable_minpoly_mod h hdiv).squarefree
#align is_primitive_root.squarefree_minpoly_mod IsPrimitiveRoot.squarefree_minpoly_mod
theorem minpoly_dvd_expand {p : ℕ} (hdiv : ¬p ∣ n) :
minpoly ℤ μ ∣ expand ℤ p (minpoly ℤ (μ ^ p)) := by
rcases n.eq_zero_or_pos with (rfl | hpos)
· simp_all
letI : IsIntegrallyClosed ℤ := GCDMonoid.toIsIntegrallyClosed
refine minpoly.isIntegrallyClosed_dvd (h.isIntegral hpos) ?_
rw [aeval_def, coe_expand, ← comp, eval₂_eq_eval_map, map_comp, Polynomial.map_pow, map_X,
eval_comp, eval_pow, eval_X, ← eval₂_eq_eval_map, ← aeval_def]
exact minpoly.aeval _ _
#align is_primitive_root.minpoly_dvd_expand IsPrimitiveRoot.minpoly_dvd_expand
theorem minpoly_dvd_pow_mod {p : ℕ} [hprime : Fact p.Prime] (hdiv : ¬p ∣ n) :
map (Int.castRingHom (ZMod p)) (minpoly ℤ μ) ∣
map (Int.castRingHom (ZMod p)) (minpoly ℤ (μ ^ p)) ^ p := by
set Q := minpoly ℤ (μ ^ p)
have hfrob :
map (Int.castRingHom (ZMod p)) Q ^ p = map (Int.castRingHom (ZMod p)) (expand ℤ p Q) := by
rw [← ZMod.expand_card, map_expand]
rw [hfrob]
apply RingHom.map_dvd (mapRingHom (Int.castRingHom (ZMod p)))
exact minpoly_dvd_expand h hdiv
#align is_primitive_root.minpoly_dvd_pow_mod IsPrimitiveRoot.minpoly_dvd_pow_mod
theorem minpoly_dvd_mod_p {p : ℕ} [Fact p.Prime] (hdiv : ¬p ∣ n) :
map (Int.castRingHom (ZMod p)) (minpoly ℤ μ) ∣
map (Int.castRingHom (ZMod p)) (minpoly ℤ (μ ^ p)) :=
(squarefree_minpoly_mod h hdiv).isRadical _ _ (minpoly_dvd_pow_mod h hdiv)
#align is_primitive_root.minpoly_dvd_mod_p IsPrimitiveRoot.minpoly_dvd_mod_p
theorem minpoly_eq_pow {p : ℕ} [hprime : Fact p.Prime] (hdiv : ¬p ∣ n) :
minpoly ℤ μ = minpoly ℤ (μ ^ p) := by
classical
by_cases hn : n = 0
· simp_all
have hpos := Nat.pos_of_ne_zero hn
by_contra hdiff
set P := minpoly ℤ μ
set Q := minpoly ℤ (μ ^ p)
have Pmonic : P.Monic := minpoly.monic (h.isIntegral hpos)
have Qmonic : Q.Monic := minpoly.monic ((h.pow_of_prime hprime.1 hdiv).isIntegral hpos)
have Pirr : Irreducible P := minpoly.irreducible (h.isIntegral hpos)
have Qirr : Irreducible Q := minpoly.irreducible ((h.pow_of_prime hprime.1 hdiv).isIntegral hpos)
have PQprim : IsPrimitive (P * Q) := Pmonic.isPrimitive.mul Qmonic.isPrimitive
have prod : P * Q ∣ X ^ n - 1 := by
rw [IsPrimitive.Int.dvd_iff_map_cast_dvd_map_cast (P * Q) (X ^ n - 1) PQprim
(monic_X_pow_sub_C (1 : ℤ) (ne_of_gt hpos)).isPrimitive,
Polynomial.map_mul]
refine IsCoprime.mul_dvd ?_ ?_ ?_
· have aux := IsPrimitive.Int.irreducible_iff_irreducible_map_cast Pmonic.isPrimitive
refine (dvd_or_coprime _ _ (aux.1 Pirr)).resolve_left ?_
rw [map_dvd_map (Int.castRingHom ℚ) Int.cast_injective Pmonic]
intro hdiv
refine hdiff (eq_of_monic_of_associated Pmonic Qmonic ?_)
exact associated_of_dvd_dvd hdiv (Pirr.dvd_symm Qirr hdiv)
· apply (map_dvd_map (Int.castRingHom ℚ) Int.cast_injective Pmonic).2
exact minpoly_dvd_x_pow_sub_one h
· apply (map_dvd_map (Int.castRingHom ℚ) Int.cast_injective Qmonic).2
exact minpoly_dvd_x_pow_sub_one (pow_of_prime h hprime.1 hdiv)
replace prod := RingHom.map_dvd (mapRingHom (Int.castRingHom (ZMod p))) prod
rw [coe_mapRingHom, Polynomial.map_mul, Polynomial.map_sub, Polynomial.map_one,
Polynomial.map_pow, map_X] at prod
obtain ⟨R, hR⟩ := minpoly_dvd_mod_p h hdiv
rw [hR, ← mul_assoc, ← Polynomial.map_mul, ← sq, Polynomial.map_pow] at prod
have habs : map (Int.castRingHom (ZMod p)) P ^ 2 ∣ map (Int.castRingHom (ZMod p)) P ^ 2 * R := by
use R
replace habs :=
lt_of_lt_of_le (PartENat.coe_lt_coe.2 one_lt_two)
(multiplicity.le_multiplicity_of_pow_dvd (dvd_trans habs prod))
have hfree : Squarefree (X ^ n - 1 : (ZMod p)[X]) :=
(separable_X_pow_sub_C 1 (fun h => hdiv <| (ZMod.natCast_zmod_eq_zero_iff_dvd n p).1 h)
one_ne_zero).squarefree
cases'
(multiplicity.squarefree_iff_multiplicity_le_one (X ^ n - 1)).1 hfree
(map (Int.castRingHom (ZMod p)) P) with
hle hunit
· rw [Nat.cast_one] at habs; exact hle.not_lt habs
· replace hunit := degree_eq_zero_of_isUnit hunit
rw [degree_map_eq_of_leadingCoeff_ne_zero (Int.castRingHom (ZMod p)) _] at hunit
· exact (minpoly.degree_pos (isIntegral h hpos)).ne' hunit
simp only [Pmonic, eq_intCast, Monic.leadingCoeff, Int.cast_one, Ne, not_false_iff,
one_ne_zero]
#align is_primitive_root.minpoly_eq_pow IsPrimitiveRoot.minpoly_eq_pow
theorem minpoly_eq_pow_coprime {m : ℕ} (hcop : Nat.Coprime m n) :
minpoly ℤ μ = minpoly ℤ (μ ^ m) := by
revert n hcop
refine UniqueFactorizationMonoid.induction_on_prime m ?_ ?_ ?_
· intro h hn
congr
simpa [(Nat.coprime_zero_left _).mp hn] using h
· intro u hunit _ _
congr
simp [Nat.isUnit_iff.mp hunit]
· intro a p _ hprime
intro hind h hcop
rw [hind h (Nat.Coprime.coprime_mul_left hcop)]; clear hind
replace hprime := hprime.nat_prime
have hdiv := (Nat.Prime.coprime_iff_not_dvd hprime).1 (Nat.Coprime.coprime_mul_right hcop)
haveI := Fact.mk hprime
rw [minpoly_eq_pow (h.pow_of_coprime a (Nat.Coprime.coprime_mul_left hcop)) hdiv]
congr 1
ring
#align is_primitive_root.minpoly_eq_pow_coprime IsPrimitiveRoot.minpoly_eq_pow_coprime
theorem pow_isRoot_minpoly {m : ℕ} (hcop : Nat.Coprime m n) :
IsRoot (map (Int.castRingHom K) (minpoly ℤ μ)) (μ ^ m) := by
simp only [minpoly_eq_pow_coprime h hcop, IsRoot.def, eval_map]
exact minpoly.aeval ℤ (μ ^ m)
#align is_primitive_root.pow_is_root_minpoly IsPrimitiveRoot.pow_isRoot_minpoly
theorem is_roots_of_minpoly [DecidableEq K] :
primitiveRoots n K ⊆ (map (Int.castRingHom K) (minpoly ℤ μ)).roots.toFinset := by
by_cases hn : n = 0; · simp_all
have hpos := Nat.pos_of_ne_zero hn
intro x hx
obtain ⟨m, _, hcop, rfl⟩ := (isPrimitiveRoot_iff h hpos).1 ((mem_primitiveRoots hpos).1 hx)
simp only [Multiset.mem_toFinset, mem_roots]
convert pow_isRoot_minpoly h hcop
rw [← mem_roots]
exact map_monic_ne_zero <| minpoly.monic <| isIntegral h hpos
#align is_primitive_root.is_roots_of_minpoly IsPrimitiveRoot.is_roots_of_minpoly
| Mathlib/RingTheory/RootsOfUnity/Minpoly.lean | 220 | 231 | theorem totient_le_degree_minpoly : Nat.totient n ≤ (minpoly ℤ μ).natDegree := by |
classical
let P : ℤ[X] := minpoly ℤ μ
-- minimal polynomial of `μ`
let P_K : K[X] := map (Int.castRingHom K) P
-- minimal polynomial of `μ` sent to `K[X]`
calc
n.totient = (primitiveRoots n K).card := h.card_primitiveRoots.symm
_ ≤ P_K.roots.toFinset.card := Finset.card_le_card (is_roots_of_minpoly h)
_ ≤ Multiset.card P_K.roots := Multiset.toFinset_card_le _
_ ≤ P_K.natDegree := card_roots' _
_ ≤ P.natDegree := natDegree_map_le _ _
|
import Mathlib.LinearAlgebra.Projectivization.Basic
#align_import linear_algebra.projective_space.subspace from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (K V : Type*) [Field K] [AddCommGroup V] [Module K V]
namespace Projectivization
open scoped LinearAlgebra.Projectivization
@[ext]
structure Subspace where
carrier : Set (ℙ K V)
mem_add' (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) (hvw : v + w ≠ 0) :
mk K v hv ∈ carrier → mk K w hw ∈ carrier → mk K (v + w) hvw ∈ carrier
#align projectivization.subspace Projectivization.Subspace
namespace Subspace
variable {K V}
instance : SetLike (Subspace K V) (ℙ K V) where
coe := carrier
coe_injective' A B := by
cases A
cases B
simp
@[simp]
theorem mem_carrier_iff (A : Subspace K V) (x : ℙ K V) : x ∈ A.carrier ↔ x ∈ A :=
Iff.refl _
#align projectivization.subspace.mem_carrier_iff Projectivization.Subspace.mem_carrier_iff
theorem mem_add (T : Subspace K V) (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) (hvw : v + w ≠ 0) :
Projectivization.mk K v hv ∈ T →
Projectivization.mk K w hw ∈ T → Projectivization.mk K (v + w) hvw ∈ T :=
T.mem_add' v w hv hw hvw
#align projectivization.subspace.mem_add Projectivization.Subspace.mem_add
inductive spanCarrier (S : Set (ℙ K V)) : Set (ℙ K V)
| of (x : ℙ K V) (hx : x ∈ S) : spanCarrier S x
| mem_add (v w : V) (hv : v ≠ 0) (hw : w ≠ 0) (hvw : v + w ≠ 0) :
spanCarrier S (Projectivization.mk K v hv) →
spanCarrier S (Projectivization.mk K w hw) → spanCarrier S (Projectivization.mk K (v + w) hvw)
#align projectivization.subspace.span_carrier Projectivization.Subspace.spanCarrier
def span (S : Set (ℙ K V)) : Subspace K V where
carrier := spanCarrier S
mem_add' v w hv hw hvw := spanCarrier.mem_add v w hv hw hvw
#align projectivization.subspace.span Projectivization.Subspace.span
theorem subset_span (S : Set (ℙ K V)) : S ⊆ span S := fun _x hx => spanCarrier.of _ hx
#align projectivization.subspace.subset_span Projectivization.Subspace.subset_span
def gi : GaloisInsertion (span : Set (ℙ K V) → Subspace K V) SetLike.coe where
choice S _hS := span S
gc A B :=
⟨fun h => le_trans (subset_span _) h, by
intro h x hx
induction' hx with y hy
· apply h
assumption
· apply B.mem_add
assumption'⟩
le_l_u S := subset_span _
choice_eq _ _ := rfl
#align projectivization.subspace.gi Projectivization.Subspace.gi
@[simp]
theorem span_coe (W : Subspace K V) : span ↑W = W :=
GaloisInsertion.l_u_eq gi W
#align projectivization.subspace.span_coe Projectivization.Subspace.span_coe
instance instInf : Inf (Subspace K V) :=
⟨fun A B =>
⟨A ⊓ B, fun _v _w hv hw _hvw h1 h2 =>
⟨A.mem_add _ _ hv hw _ h1.1 h2.1, B.mem_add _ _ hv hw _ h1.2 h2.2⟩⟩⟩
#align projectivization.subspace.has_inf Projectivization.Subspace.instInf
-- Porting note: delete the name of this instance since it causes problem since hasInf is already
-- defined above
instance instInfSet : InfSet (Subspace K V) :=
⟨fun A =>
⟨sInf (SetLike.coe '' A), fun v w hv hw hvw h1 h2 t => by
rintro ⟨s, hs, rfl⟩
exact s.mem_add v w hv hw _ (h1 s ⟨s, hs, rfl⟩) (h2 s ⟨s, hs, rfl⟩)⟩⟩
#align projectivization.subspace.has_Inf Projectivization.Subspace.instInfSet
instance : CompleteLattice (Subspace K V) :=
{ __ := completeLatticeOfInf (Subspace K V)
(by
refine fun s => ⟨fun a ha x hx => hx _ ⟨a, ha, rfl⟩, fun a ha x hx E => ?_⟩
rintro ⟨E, hE, rfl⟩
exact ha hE hx)
inf_le_left := fun A B _ hx => (@inf_le_left _ _ A B) hx
inf_le_right := fun A B _ hx => (@inf_le_right _ _ A B) hx
le_inf := fun A B _ h1 h2 _ hx => (le_inf h1 h2) hx }
instance subspaceInhabited : Inhabited (Subspace K V) where default := ⊤
#align projectivization.subspace.subspace_inhabited Projectivization.Subspace.subspaceInhabited
@[simp]
theorem span_empty : span (∅ : Set (ℙ K V)) = ⊥ := gi.gc.l_bot
#align projectivization.subspace.span_empty Projectivization.Subspace.span_empty
@[simp]
theorem span_univ : span (Set.univ : Set (ℙ K V)) = ⊤ := by
rw [eq_top_iff, SetLike.le_def]
intro x _hx
exact subset_span _ (Set.mem_univ x)
#align projectivization.subspace.span_univ Projectivization.Subspace.span_univ
theorem span_le_subspace_iff {S : Set (ℙ K V)} {W : Subspace K V} : span S ≤ W ↔ S ⊆ W :=
gi.gc S W
#align projectivization.subspace.span_le_subspace_iff Projectivization.Subspace.span_le_subspace_iff
@[mono]
theorem monotone_span : Monotone (span : Set (ℙ K V) → Subspace K V) :=
gi.gc.monotone_l
#align projectivization.subspace.monotone_span Projectivization.Subspace.monotone_span
theorem subset_span_trans {S T U : Set (ℙ K V)} (hST : S ⊆ span T) (hTU : T ⊆ span U) :
S ⊆ span U :=
gi.gc.le_u_l_trans hST hTU
#align projectivization.subspace.subset_span_trans Projectivization.Subspace.subset_span_trans
theorem span_union (S T : Set (ℙ K V)) : span (S ∪ T) = span S ⊔ span T :=
(@gi K V _ _ _).gc.l_sup
#align projectivization.subspace.span_union Projectivization.Subspace.span_union
theorem span_iUnion {ι} (s : ι → Set (ℙ K V)) : span (⋃ i, s i) = ⨆ i, span (s i) :=
(@gi K V _ _ _).gc.l_iSup
#align projectivization.subspace.span_Union Projectivization.Subspace.span_iUnion
theorem sup_span {S : Set (ℙ K V)} {W : Subspace K V} : W ⊔ span S = span (W ∪ S) := by
rw [span_union, span_coe]
#align projectivization.subspace.sup_span Projectivization.Subspace.sup_span
theorem span_sup {S : Set (ℙ K V)} {W : Subspace K V} : span S ⊔ W = span (S ∪ W) := by
rw [span_union, span_coe]
#align projectivization.subspace.span_sup Projectivization.Subspace.span_sup
| Mathlib/LinearAlgebra/Projectivization/Subspace.lean | 202 | 205 | theorem mem_span {S : Set (ℙ K V)} (u : ℙ K V) :
u ∈ span S ↔ ∀ W : Subspace K V, S ⊆ W → u ∈ W := by |
simp_rw [← span_le_subspace_iff]
exact ⟨fun hu W hW => hW hu, fun W => W (span S) (le_refl _)⟩
|
import Mathlib.Analysis.Analytic.Constructions
import Mathlib.Analysis.Calculus.Dslope
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Analysis.Analytic.Uniqueness
#align_import analysis.analytic.isolated_zeros from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090"
open scoped Classical
open Filter Function Nat FormalMultilinearSeries EMetric Set
open scoped Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {s : E} {p q : FormalMultilinearSeries 𝕜 𝕜 E} {f g : 𝕜 → E} {n : ℕ} {z z₀ : 𝕜}
namespace HasFPowerSeriesAt
| Mathlib/Analysis/Analytic/IsolatedZeros.lean | 69 | 80 | theorem has_fpower_series_dslope_fslope (hp : HasFPowerSeriesAt f p z₀) :
HasFPowerSeriesAt (dslope f z₀) p.fslope z₀ := by |
have hpd : deriv f z₀ = p.coeff 1 := hp.deriv
have hp0 : p.coeff 0 = f z₀ := hp.coeff_zero 1
simp only [hasFPowerSeriesAt_iff, apply_eq_pow_smul_coeff, coeff_fslope] at hp ⊢
refine hp.mono fun x hx => ?_
by_cases h : x = 0
· convert hasSum_single (α := E) 0 _ <;> intros <;> simp [*]
· have hxx : ∀ n : ℕ, x⁻¹ * x ^ (n + 1) = x ^ n := fun n => by field_simp [h, _root_.pow_succ]
suffices HasSum (fun n => x⁻¹ • x ^ (n + 1) • p.coeff (n + 1)) (x⁻¹ • (f (z₀ + x) - f z₀)) by
simpa [dslope, slope, h, smul_smul, hxx] using this
simpa [hp0] using ((hasSum_nat_add_iff' 1).mpr hx).const_smul x⁻¹
|
import Mathlib.Topology.Algebra.Module.Basic
import Mathlib.LinearAlgebra.Multilinear.Basic
#align_import topology.algebra.module.multilinear from "leanprover-community/mathlib"@"f40476639bac089693a489c9e354ebd75dc0f886"
open Function Fin Set
universe u v w w₁ w₁' w₂ w₃ w₄
variable {R : Type u} {ι : Type v} {n : ℕ} {M : Fin n.succ → Type w} {M₁ : ι → Type w₁}
{M₁' : ι → Type w₁'} {M₂ : Type w₂} {M₃ : Type w₃} {M₄ : Type w₄}
structure ContinuousMultilinearMap (R : Type u) {ι : Type v} (M₁ : ι → Type w₁) (M₂ : Type w₂)
[Semiring R] [∀ i, AddCommMonoid (M₁ i)] [AddCommMonoid M₂] [∀ i, Module R (M₁ i)] [Module R M₂]
[∀ i, TopologicalSpace (M₁ i)] [TopologicalSpace M₂] extends MultilinearMap R M₁ M₂ where
cont : Continuous toFun
#align continuous_multilinear_map ContinuousMultilinearMap
attribute [inherit_doc ContinuousMultilinearMap] ContinuousMultilinearMap.cont
@[inherit_doc]
notation:25 M "[×" n "]→L[" R "] " M' => ContinuousMultilinearMap R (fun i : Fin n => M) M'
namespace ContinuousMultilinearMap
section Semiring
variable [Semiring R] [∀ i, AddCommMonoid (M i)] [∀ i, AddCommMonoid (M₁ i)]
[∀ i, AddCommMonoid (M₁' i)] [AddCommMonoid M₂] [AddCommMonoid M₃] [AddCommMonoid M₄]
[∀ i, Module R (M i)] [∀ i, Module R (M₁ i)] [∀ i, Module R (M₁' i)] [Module R M₂] [Module R M₃]
[Module R M₄] [∀ i, TopologicalSpace (M i)] [∀ i, TopologicalSpace (M₁ i)]
[∀ i, TopologicalSpace (M₁' i)] [TopologicalSpace M₂] [TopologicalSpace M₃] [TopologicalSpace M₄]
(f f' : ContinuousMultilinearMap R M₁ M₂)
theorem toMultilinearMap_injective :
Function.Injective
(ContinuousMultilinearMap.toMultilinearMap :
ContinuousMultilinearMap R M₁ M₂ → MultilinearMap R M₁ M₂)
| ⟨f, hf⟩, ⟨g, hg⟩, h => by subst h; rfl
#align continuous_multilinear_map.to_multilinear_map_injective ContinuousMultilinearMap.toMultilinearMap_injective
instance funLike : FunLike (ContinuousMultilinearMap R M₁ M₂) (∀ i, M₁ i) M₂ where
coe f := f.toFun
coe_injective' _ _ h := toMultilinearMap_injective <| MultilinearMap.coe_injective h
instance continuousMapClass :
ContinuousMapClass (ContinuousMultilinearMap R M₁ M₂) (∀ i, M₁ i) M₂ where
map_continuous := ContinuousMultilinearMap.cont
#align continuous_multilinear_map.continuous_map_class ContinuousMultilinearMap.continuousMapClass
instance : CoeFun (ContinuousMultilinearMap R M₁ M₂) fun _ => (∀ i, M₁ i) → M₂ :=
⟨fun f => f⟩
def Simps.apply (L₁ : ContinuousMultilinearMap R M₁ M₂) (v : ∀ i, M₁ i) : M₂ :=
L₁ v
#align continuous_multilinear_map.simps.apply ContinuousMultilinearMap.Simps.apply
initialize_simps_projections ContinuousMultilinearMap (-toMultilinearMap,
toMultilinearMap_toFun → apply)
@[continuity]
theorem coe_continuous : Continuous (f : (∀ i, M₁ i) → M₂) :=
f.cont
#align continuous_multilinear_map.coe_continuous ContinuousMultilinearMap.coe_continuous
@[simp]
theorem coe_coe : (f.toMultilinearMap : (∀ i, M₁ i) → M₂) = f :=
rfl
#align continuous_multilinear_map.coe_coe ContinuousMultilinearMap.coe_coe
@[ext]
theorem ext {f f' : ContinuousMultilinearMap R M₁ M₂} (H : ∀ x, f x = f' x) : f = f' :=
DFunLike.ext _ _ H
#align continuous_multilinear_map.ext ContinuousMultilinearMap.ext
theorem ext_iff {f f' : ContinuousMultilinearMap R M₁ M₂} : f = f' ↔ ∀ x, f x = f' x := by
rw [← toMultilinearMap_injective.eq_iff, MultilinearMap.ext_iff]; rfl
#align continuous_multilinear_map.ext_iff ContinuousMultilinearMap.ext_iff
@[simp]
theorem map_add [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (x y : M₁ i) :
f (update m i (x + y)) = f (update m i x) + f (update m i y) :=
f.map_add' m i x y
#align continuous_multilinear_map.map_add ContinuousMultilinearMap.map_add
@[simp]
theorem map_smul [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) (c : R) (x : M₁ i) :
f (update m i (c • x)) = c • f (update m i x) :=
f.map_smul' m i c x
#align continuous_multilinear_map.map_smul ContinuousMultilinearMap.map_smul
theorem map_coord_zero {m : ∀ i, M₁ i} (i : ι) (h : m i = 0) : f m = 0 :=
f.toMultilinearMap.map_coord_zero i h
#align continuous_multilinear_map.map_coord_zero ContinuousMultilinearMap.map_coord_zero
@[simp]
theorem map_zero [Nonempty ι] : f 0 = 0 :=
f.toMultilinearMap.map_zero
#align continuous_multilinear_map.map_zero ContinuousMultilinearMap.map_zero
instance : Zero (ContinuousMultilinearMap R M₁ M₂) :=
⟨{ (0 : MultilinearMap R M₁ M₂) with cont := continuous_const }⟩
instance : Inhabited (ContinuousMultilinearMap R M₁ M₂) :=
⟨0⟩
@[simp]
theorem zero_apply (m : ∀ i, M₁ i) : (0 : ContinuousMultilinearMap R M₁ M₂) m = 0 :=
rfl
#align continuous_multilinear_map.zero_apply ContinuousMultilinearMap.zero_apply
@[simp]
theorem toMultilinearMap_zero : (0 : ContinuousMultilinearMap R M₁ M₂).toMultilinearMap = 0 :=
rfl
#align continuous_multilinear_map.to_multilinear_map_zero ContinuousMultilinearMap.toMultilinearMap_zero
def toContinuousLinearMap [DecidableEq ι] (m : ∀ i, M₁ i) (i : ι) : M₁ i →L[R] M₂ :=
{ f.toMultilinearMap.toLinearMap m i with
cont := f.cont.comp (continuous_const.update i continuous_id) }
#align continuous_multilinear_map.to_continuous_linear_map ContinuousMultilinearMap.toContinuousLinearMap
def prod (f : ContinuousMultilinearMap R M₁ M₂) (g : ContinuousMultilinearMap R M₁ M₃) :
ContinuousMultilinearMap R M₁ (M₂ × M₃) :=
{ f.toMultilinearMap.prod g.toMultilinearMap with cont := f.cont.prod_mk g.cont }
#align continuous_multilinear_map.prod ContinuousMultilinearMap.prod
@[simp]
theorem prod_apply (f : ContinuousMultilinearMap R M₁ M₂) (g : ContinuousMultilinearMap R M₁ M₃)
(m : ∀ i, M₁ i) : (f.prod g) m = (f m, g m) :=
rfl
#align continuous_multilinear_map.prod_apply ContinuousMultilinearMap.prod_apply
def pi {ι' : Type*} {M' : ι' → Type*} [∀ i, AddCommMonoid (M' i)] [∀ i, TopologicalSpace (M' i)]
[∀ i, Module R (M' i)] (f : ∀ i, ContinuousMultilinearMap R M₁ (M' i)) :
ContinuousMultilinearMap R M₁ (∀ i, M' i) where
cont := continuous_pi fun i => (f i).coe_continuous
toMultilinearMap := MultilinearMap.pi fun i => (f i).toMultilinearMap
#align continuous_multilinear_map.pi ContinuousMultilinearMap.pi
@[simp]
theorem coe_pi {ι' : Type*} {M' : ι' → Type*} [∀ i, AddCommMonoid (M' i)]
[∀ i, TopologicalSpace (M' i)] [∀ i, Module R (M' i)]
(f : ∀ i, ContinuousMultilinearMap R M₁ (M' i)) : ⇑(pi f) = fun m j => f j m :=
rfl
#align continuous_multilinear_map.coe_pi ContinuousMultilinearMap.coe_pi
theorem pi_apply {ι' : Type*} {M' : ι' → Type*} [∀ i, AddCommMonoid (M' i)]
[∀ i, TopologicalSpace (M' i)] [∀ i, Module R (M' i)]
(f : ∀ i, ContinuousMultilinearMap R M₁ (M' i)) (m : ∀ i, M₁ i) (j : ι') : pi f m j = f j m :=
rfl
#align continuous_multilinear_map.pi_apply ContinuousMultilinearMap.pi_apply
@[simps! toMultilinearMap apply_coe]
def codRestrict (f : ContinuousMultilinearMap R M₁ M₂) (p : Submodule R M₂) (h : ∀ v, f v ∈ p) :
ContinuousMultilinearMap R M₁ p :=
⟨f.1.codRestrict p h, f.cont.subtype_mk _⟩
#align continuous_multilinear_map.cod_restrict ContinuousMultilinearMap.codRestrict
#align continuous_multilinear_map.cod_restrict_to_multilinear_map ContinuousMultilinearMap.codRestrict_toMultilinearMap
#align continuous_multilinear_map.cod_restrict_apply_coe ContinuousMultilinearMap.codRestrict_apply_coe
section
variable (R M₂ M₃)
@[simps! apply_toMultilinearMap apply_apply symm_apply_apply]
def ofSubsingleton [Subsingleton ι] (i : ι) :
(M₂ →L[R] M₃) ≃ ContinuousMultilinearMap R (fun _ : ι => M₂) M₃ where
toFun f := ⟨MultilinearMap.ofSubsingleton R M₂ M₃ i f,
(map_continuous f).comp (continuous_apply i)⟩
invFun f := ⟨(MultilinearMap.ofSubsingleton R M₂ M₃ i).symm f.toMultilinearMap,
(map_continuous f).comp <| continuous_pi fun _ ↦ continuous_id⟩
left_inv _ := rfl
right_inv f := toMultilinearMap_injective <|
(MultilinearMap.ofSubsingleton R M₂ M₃ i).apply_symm_apply f.toMultilinearMap
#align continuous_multilinear_map.of_subsingleton ContinuousMultilinearMap.ofSubsingleton
variable (M₁) {M₂}
@[simps! toMultilinearMap apply]
def constOfIsEmpty [IsEmpty ι] (m : M₂) : ContinuousMultilinearMap R M₁ M₂ where
toMultilinearMap := MultilinearMap.constOfIsEmpty R _ m
cont := continuous_const
#align continuous_multilinear_map.const_of_is_empty ContinuousMultilinearMap.constOfIsEmpty
end
def compContinuousLinearMap (g : ContinuousMultilinearMap R M₁' M₄)
(f : ∀ i : ι, M₁ i →L[R] M₁' i) : ContinuousMultilinearMap R M₁ M₄ :=
{ g.toMultilinearMap.compLinearMap fun i => (f i).toLinearMap with
cont := g.cont.comp <| continuous_pi fun j => (f j).cont.comp <| continuous_apply _ }
#align continuous_multilinear_map.comp_continuous_linear_map ContinuousMultilinearMap.compContinuousLinearMap
@[simp]
theorem compContinuousLinearMap_apply (g : ContinuousMultilinearMap R M₁' M₄)
(f : ∀ i : ι, M₁ i →L[R] M₁' i) (m : ∀ i, M₁ i) :
g.compContinuousLinearMap f m = g fun i => f i <| m i :=
rfl
#align continuous_multilinear_map.comp_continuous_linear_map_apply ContinuousMultilinearMap.compContinuousLinearMap_apply
def _root_.ContinuousLinearMap.compContinuousMultilinearMap (g : M₂ →L[R] M₃)
(f : ContinuousMultilinearMap R M₁ M₂) : ContinuousMultilinearMap R M₁ M₃ :=
{ g.toLinearMap.compMultilinearMap f.toMultilinearMap with cont := g.cont.comp f.cont }
#align continuous_linear_map.comp_continuous_multilinear_map ContinuousLinearMap.compContinuousMultilinearMap
@[simp]
| Mathlib/Topology/Algebra/Module/Multilinear/Basic.lean | 332 | 337 | theorem _root_.ContinuousLinearMap.compContinuousMultilinearMap_coe (g : M₂ →L[R] M₃)
(f : ContinuousMultilinearMap R M₁ M₂) :
(g.compContinuousMultilinearMap f : (∀ i, M₁ i) → M₃) =
(g : M₂ → M₃) ∘ (f : (∀ i, M₁ i) → M₂) := by |
ext m
rfl
|
import Mathlib.Algebra.Group.Equiv.TypeTags
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Module.LinearMap.Basic
import Mathlib.Algebra.MonoidAlgebra.Basic
import Mathlib.LinearAlgebra.Dual
import Mathlib.LinearAlgebra.Contraction
import Mathlib.RingTheory.TensorProduct.Basic
#align_import representation_theory.basic from "leanprover-community/mathlib"@"c04bc6e93e23aa0182aba53661a2211e80b6feac"
open MonoidAlgebra (lift of)
open LinearMap
section
variable (k G V : Type*) [CommSemiring k] [Monoid G] [AddCommMonoid V] [Module k V]
abbrev Representation :=
G →* V →ₗ[k] V
#align representation Representation
end
namespace Representation
section MonoidAlgebra
variable {k G V : Type*} [CommSemiring k] [Monoid G] [AddCommMonoid V] [Module k V]
variable (ρ : Representation k G V)
noncomputable def asAlgebraHom : MonoidAlgebra k G →ₐ[k] Module.End k V :=
(lift k G _) ρ
#align representation.as_algebra_hom Representation.asAlgebraHom
theorem asAlgebraHom_def : asAlgebraHom ρ = (lift k G _) ρ :=
rfl
#align representation.as_algebra_hom_def Representation.asAlgebraHom_def
@[simp]
theorem asAlgebraHom_single (g : G) (r : k) : asAlgebraHom ρ (Finsupp.single g r) = r • ρ g := by
simp only [asAlgebraHom_def, MonoidAlgebra.lift_single]
#align representation.as_algebra_hom_single Representation.asAlgebraHom_single
theorem asAlgebraHom_single_one (g : G) : asAlgebraHom ρ (Finsupp.single g 1) = ρ g := by simp
#align representation.as_algebra_hom_single_one Representation.asAlgebraHom_single_one
| Mathlib/RepresentationTheory/Basic.lean | 113 | 114 | theorem asAlgebraHom_of (g : G) : asAlgebraHom ρ (of k G g) = ρ g := by |
simp only [MonoidAlgebra.of_apply, asAlgebraHom_single, one_smul]
|
import Mathlib.Topology.Homeomorph
import Mathlib.Data.Option.Basic
#align_import topology.paracompact from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9"
open Set Filter Function
open Filter Topology
universe u v w
class ParacompactSpace (X : Type v) [TopologicalSpace X] : Prop where
locallyFinite_refinement :
∀ (α : Type v) (s : α → Set X), (∀ a, IsOpen (s a)) → (⋃ a, s a = univ) →
∃ (β : Type v) (t : β → Set X),
(∀ b, IsOpen (t b)) ∧ (⋃ b, t b = univ) ∧ LocallyFinite t ∧ ∀ b, ∃ a, t b ⊆ s a
#align paracompact_space ParacompactSpace
variable {ι : Type u} {X : Type v} {Y : Type w} [TopologicalSpace X] [TopologicalSpace Y]
theorem precise_refinement [ParacompactSpace X] (u : ι → Set X) (uo : ∀ a, IsOpen (u a))
(uc : ⋃ i, u i = univ) : ∃ v : ι → Set X, (∀ a, IsOpen (v a)) ∧ ⋃ i, v i = univ ∧
LocallyFinite v ∧ ∀ a, v a ⊆ u a := by
-- Apply definition to `range u`, then turn existence quantifiers into functions using `choose`
have := ParacompactSpace.locallyFinite_refinement (range u) (fun r ↦ (r : Set X))
(forall_subtype_range_iff.2 uo) (by rwa [← sUnion_range, Subtype.range_coe])
simp only [exists_subtype_range_iff, iUnion_eq_univ_iff] at this
choose α t hto hXt htf ind hind using this
choose t_inv ht_inv using hXt
choose U hxU hU using htf
-- Send each `i` to the union of `t a` over `a ∈ ind ⁻¹' {i}`
refine ⟨fun i ↦ ⋃ (a : α) (_ : ind a = i), t a, ?_, ?_, ?_, ?_⟩
· exact fun a ↦ isOpen_iUnion fun a ↦ isOpen_iUnion fun _ ↦ hto a
· simp only [eq_univ_iff_forall, mem_iUnion]
exact fun x ↦ ⟨ind (t_inv x), _, rfl, ht_inv _⟩
· refine fun x ↦ ⟨U x, hxU x, ((hU x).image ind).subset ?_⟩
simp only [subset_def, mem_iUnion, mem_setOf_eq, Set.Nonempty, mem_inter_iff]
rintro i ⟨y, ⟨a, rfl, hya⟩, hyU⟩
exact mem_image_of_mem _ ⟨y, hya, hyU⟩
· simp only [subset_def, mem_iUnion]
rintro i x ⟨a, rfl, hxa⟩
exact hind _ hxa
#align precise_refinement precise_refinement
theorem precise_refinement_set [ParacompactSpace X] {s : Set X} (hs : IsClosed s) (u : ι → Set X)
(uo : ∀ i, IsOpen (u i)) (us : s ⊆ ⋃ i, u i) :
∃ v : ι → Set X, (∀ i, IsOpen (v i)) ∧ (s ⊆ ⋃ i, v i) ∧ LocallyFinite v ∧ ∀ i, v i ⊆ u i := by
-- Porting note (#10888): added proof of uc
have uc : (iUnion fun i => Option.elim' sᶜ u i) = univ := by
apply Subset.antisymm (subset_univ _)
· simp_rw [← compl_union_self s, Option.elim', iUnion_option]
apply union_subset_union_right sᶜ us
rcases precise_refinement (Option.elim' sᶜ u) (Option.forall.2 ⟨isOpen_compl_iff.2 hs, uo⟩)
uc with
⟨v, vo, vc, vf, vu⟩
refine ⟨v ∘ some, fun i ↦ vo _, ?_, vf.comp_injective (Option.some_injective _), fun i ↦ vu _⟩
· simp only [iUnion_option, ← compl_subset_iff_union] at vc
exact Subset.trans (subset_compl_comm.1 <| vu Option.none) vc
#align precise_refinement_set precise_refinement_set
theorem ClosedEmbedding.paracompactSpace [ParacompactSpace Y] {e : X → Y} (he : ClosedEmbedding e) :
ParacompactSpace X where
locallyFinite_refinement α s ho hu := by
choose U hUo hU using fun a ↦ he.isOpen_iff.1 (ho a)
simp only [← hU] at hu ⊢
have heU : range e ⊆ ⋃ i, U i := by
simpa only [range_subset_iff, mem_iUnion, iUnion_eq_univ_iff] using hu
rcases precise_refinement_set he.isClosed_range U hUo heU with ⟨V, hVo, heV, hVf, hVU⟩
refine ⟨α, fun a ↦ e ⁻¹' (V a), fun a ↦ (hVo a).preimage he.continuous, ?_,
hVf.preimage_continuous he.continuous, fun a ↦ ⟨a, preimage_mono (hVU a)⟩⟩
simpa only [range_subset_iff, mem_iUnion, iUnion_eq_univ_iff] using heV
theorem Homeomorph.paracompactSpace_iff (e : X ≃ₜ Y) : ParacompactSpace X ↔ ParacompactSpace Y :=
⟨fun _ ↦ e.symm.closedEmbedding.paracompactSpace, fun _ ↦ e.closedEmbedding.paracompactSpace⟩
instance (priority := 200) [CompactSpace X] [ParacompactSpace Y] : ParacompactSpace (X × Y) where
locallyFinite_refinement α s ho hu := by
have : ∀ (x : X) (y : Y), ∃ (a : α) (U : Set X) (V : Set Y),
IsOpen U ∧ IsOpen V ∧ x ∈ U ∧ y ∈ V ∧ U ×ˢ V ⊆ s a := fun x y ↦
(iUnion_eq_univ_iff.1 hu (x, y)).imp fun a ha ↦ isOpen_prod_iff.1 (ho a) x y ha
choose a U V hUo hVo hxU hyV hUV using this
choose T hT using fun y ↦ CompactSpace.elim_nhds_subcover (U · y) fun x ↦
(hUo x y).mem_nhds (hxU x y)
set W : Y → Set Y := fun y ↦ ⋂ x ∈ T y, V x y
have hWo : ∀ y, IsOpen (W y) := fun y ↦ isOpen_biInter_finset fun _ _ ↦ hVo _ _
have hW : ∀ y, y ∈ W y := fun _ ↦ mem_iInter₂.2 fun _ _ ↦ hyV _ _
rcases precise_refinement W hWo (iUnion_eq_univ_iff.2 fun y ↦ ⟨y, hW y⟩)
with ⟨E, hEo, hE, hEf, hEA⟩
refine ⟨Σ y, T y, fun z ↦ U z.2.1 z.1 ×ˢ E z.1, fun _ ↦ (hUo _ _).prod (hEo _),
iUnion_eq_univ_iff.2 fun (x, y) ↦ ?_, fun (x, y) ↦ ?_, fun ⟨y, x, hx⟩ ↦ ?_⟩
· rcases iUnion_eq_univ_iff.1 hE y with ⟨b, hb⟩
rcases iUnion₂_eq_univ_iff.1 (hT b) x with ⟨a, ha, hx⟩
exact ⟨⟨b, a, ha⟩, hx, hb⟩
· rcases hEf y with ⟨t, ht, htf⟩
refine ⟨univ ×ˢ t, prod_mem_nhds univ_mem ht, ?_⟩
refine (htf.biUnion fun y _ ↦ finite_range (Sigma.mk y)).subset ?_
rintro ⟨b, a, ha⟩ ⟨⟨c, d⟩, ⟨-, hd : d ∈ E b⟩, -, hdt : d ∈ t⟩
exact mem_iUnion₂.2 ⟨b, ⟨d, hd, hdt⟩, mem_range_self _⟩
· refine ⟨a x y, (Set.prod_mono Subset.rfl ?_).trans (hUV x y)⟩
exact (hEA _).trans (iInter₂_subset x hx)
instance (priority := 200) [ParacompactSpace X] [CompactSpace Y] : ParacompactSpace (X × Y) :=
(Homeomorph.prodComm X Y).paracompactSpace_iff.2 inferInstance
-- See note [lower instance priority]
instance (priority := 100) paracompact_of_compact [CompactSpace X] : ParacompactSpace X := by
-- the proof is trivial: we choose a finite subcover using compactness, and use it
refine ⟨fun ι s ho hu ↦ ?_⟩
rcases isCompact_univ.elim_finite_subcover _ ho hu.ge with ⟨T, hT⟩
refine ⟨(T : Set ι), fun t ↦ s t, fun t ↦ ho _, ?_, locallyFinite_of_finite _,
fun t ↦ ⟨t, Subset.rfl⟩⟩
simpa only [iUnion_coe_set, ← univ_subset_iff]
#align paracompact_of_compact paracompact_of_compact
| Mathlib/Topology/Compactness/Paracompact.lean | 196 | 244 | theorem refinement_of_locallyCompact_sigmaCompact_of_nhds_basis_set [WeaklyLocallyCompactSpace X]
[SigmaCompactSpace X] [T2Space X] {ι : X → Type u} {p : ∀ x, ι x → Prop} {B : ∀ x, ι x → Set X}
{s : Set X} (hs : IsClosed s) (hB : ∀ x ∈ s, (𝓝 x).HasBasis (p x) (B x)) :
∃ (α : Type v) (c : α → X) (r : ∀ a, ι (c a)),
(∀ a, c a ∈ s ∧ p (c a) (r a)) ∧
(s ⊆ ⋃ a, B (c a) (r a)) ∧ LocallyFinite fun a ↦ B (c a) (r a) := by |
classical
-- For technical reasons we prepend two empty sets to the sequence `CompactExhaustion.choice X`
set K' : CompactExhaustion X := CompactExhaustion.choice X
set K : CompactExhaustion X := K'.shiftr.shiftr
set Kdiff := fun n ↦ K (n + 1) \ interior (K n)
-- Now we restate some properties of `CompactExhaustion` for `K`/`Kdiff`
have hKcov : ∀ x, x ∈ Kdiff (K'.find x + 1) := fun x ↦ by
simpa only [K'.find_shiftr] using
diff_subset_diff_right interior_subset (K'.shiftr.mem_diff_shiftr_find x)
have Kdiffc : ∀ n, IsCompact (Kdiff n ∩ s) :=
fun n ↦ ((K.isCompact _).diff isOpen_interior).inter_right hs
-- Next we choose a finite covering `B (c n i) (r n i)` of each
-- `Kdiff (n + 1) ∩ s` such that `B (c n i) (r n i) ∩ s` is disjoint with `K n`
have : ∀ (n) (x : ↑(Kdiff (n + 1) ∩ s)), (K n)ᶜ ∈ 𝓝 (x : X) :=
fun n x ↦ (K.isClosed n).compl_mem_nhds fun hx' ↦ x.2.1.2 <| K.subset_interior_succ _ hx'
-- Porting note: Commented out `haveI` for now.
--haveI : ∀ (n) (x : ↑(Kdiff n ∩ s)), Nonempty (ι x) := fun n x ↦ (hB x x.2.2).nonempty
choose! r hrp hr using fun n (x : ↑(Kdiff (n + 1) ∩ s)) ↦ (hB x x.2.2).mem_iff.1 (this n x)
have hxr : ∀ (n x) (hx : x ∈ Kdiff (n + 1) ∩ s), B x (r n ⟨x, hx⟩) ∈ 𝓝 x := fun n x hx ↦
(hB x hx.2).mem_of_mem (hrp _ ⟨x, hx⟩)
choose T hT using fun n ↦ (Kdiffc (n + 1)).elim_nhds_subcover' _ (hxr n)
set T' : ∀ n, Set ↑(Kdiff (n + 1) ∩ s) := fun n ↦ T n
-- Finally, we take the union of all these coverings
refine ⟨Σn, T' n, fun a ↦ a.2, fun a ↦ r a.1 a.2, ?_, ?_, ?_⟩
· rintro ⟨n, x, hx⟩
exact ⟨x.2.2, hrp _ _⟩
· refine fun x hx ↦ mem_iUnion.2 ?_
rcases mem_iUnion₂.1 (hT _ ⟨hKcov x, hx⟩) with ⟨⟨c, hc⟩, hcT, hcx⟩
exact ⟨⟨_, ⟨c, hc⟩, hcT⟩, hcx⟩
· intro x
refine
⟨interior (K (K'.find x + 3)),
IsOpen.mem_nhds isOpen_interior (K.subset_interior_succ _ (hKcov x).1), ?_⟩
have : (⋃ k ≤ K'.find x + 2, range (Sigma.mk k) : Set (Σn, T' n)).Finite :=
(finite_le_nat _).biUnion fun k _ ↦ finite_range _
apply this.subset
rintro ⟨k, c, hc⟩
simp only [mem_iUnion, mem_setOf_eq, mem_image, Subtype.coe_mk]
rintro ⟨x, hxB : x ∈ B c (r k c), hxK⟩
refine ⟨k, ?_, ⟨c, hc⟩, rfl⟩
have := (mem_compl_iff _ _).1 (hr k c hxB)
contrapose! this with hnk
exact K.subset hnk (interior_subset hxK)
|
import Mathlib.Data.Set.Image
import Mathlib.Data.SProd
#align_import data.set.prod from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
open Function
namespace Set
section Prod
variable {α β γ δ : Type*} {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {a : α} {b : β}
theorem Subsingleton.prod (hs : s.Subsingleton) (ht : t.Subsingleton) :
(s ×ˢ t).Subsingleton := fun _x hx _y hy ↦
Prod.ext (hs hx.1 hy.1) (ht hx.2 hy.2)
noncomputable instance decidableMemProd [DecidablePred (· ∈ s)] [DecidablePred (· ∈ t)] :
DecidablePred (· ∈ s ×ˢ t) := fun _ => And.decidable
#align set.decidable_mem_prod Set.decidableMemProd
@[gcongr]
theorem prod_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : s₁ ×ˢ t₁ ⊆ s₂ ×ˢ t₂ :=
fun _ ⟨h₁, h₂⟩ => ⟨hs h₁, ht h₂⟩
#align set.prod_mono Set.prod_mono
@[gcongr]
theorem prod_mono_left (hs : s₁ ⊆ s₂) : s₁ ×ˢ t ⊆ s₂ ×ˢ t :=
prod_mono hs Subset.rfl
#align set.prod_mono_left Set.prod_mono_left
@[gcongr]
theorem prod_mono_right (ht : t₁ ⊆ t₂) : s ×ˢ t₁ ⊆ s ×ˢ t₂ :=
prod_mono Subset.rfl ht
#align set.prod_mono_right Set.prod_mono_right
@[simp]
theorem prod_self_subset_prod_self : s₁ ×ˢ s₁ ⊆ s₂ ×ˢ s₂ ↔ s₁ ⊆ s₂ :=
⟨fun h _ hx => (h (mk_mem_prod hx hx)).1, fun h _ hx => ⟨h hx.1, h hx.2⟩⟩
#align set.prod_self_subset_prod_self Set.prod_self_subset_prod_self
@[simp]
theorem prod_self_ssubset_prod_self : s₁ ×ˢ s₁ ⊂ s₂ ×ˢ s₂ ↔ s₁ ⊂ s₂ :=
and_congr prod_self_subset_prod_self <| not_congr prod_self_subset_prod_self
#align set.prod_self_ssubset_prod_self Set.prod_self_ssubset_prod_self
theorem prod_subset_iff {P : Set (α × β)} : s ×ˢ t ⊆ P ↔ ∀ x ∈ s, ∀ y ∈ t, (x, y) ∈ P :=
⟨fun h _ hx _ hy => h (mk_mem_prod hx hy), fun h ⟨_, _⟩ hp => h _ hp.1 _ hp.2⟩
#align set.prod_subset_iff Set.prod_subset_iff
theorem forall_prod_set {p : α × β → Prop} : (∀ x ∈ s ×ˢ t, p x) ↔ ∀ x ∈ s, ∀ y ∈ t, p (x, y) :=
prod_subset_iff
#align set.forall_prod_set Set.forall_prod_set
theorem exists_prod_set {p : α × β → Prop} : (∃ x ∈ s ×ˢ t, p x) ↔ ∃ x ∈ s, ∃ y ∈ t, p (x, y) := by
simp [and_assoc]
#align set.exists_prod_set Set.exists_prod_set
@[simp]
theorem prod_empty : s ×ˢ (∅ : Set β) = ∅ := by
ext
exact and_false_iff _
#align set.prod_empty Set.prod_empty
@[simp]
theorem empty_prod : (∅ : Set α) ×ˢ t = ∅ := by
ext
exact false_and_iff _
#align set.empty_prod Set.empty_prod
@[simp, mfld_simps]
theorem univ_prod_univ : @univ α ×ˢ @univ β = univ := by
ext
exact true_and_iff _
#align set.univ_prod_univ Set.univ_prod_univ
theorem univ_prod {t : Set β} : (univ : Set α) ×ˢ t = Prod.snd ⁻¹' t := by simp [prod_eq]
#align set.univ_prod Set.univ_prod
theorem prod_univ {s : Set α} : s ×ˢ (univ : Set β) = Prod.fst ⁻¹' s := by simp [prod_eq]
#align set.prod_univ Set.prod_univ
@[simp] lemma prod_eq_univ [Nonempty α] [Nonempty β] : s ×ˢ t = univ ↔ s = univ ∧ t = univ := by
simp [eq_univ_iff_forall, forall_and]
@[simp]
theorem singleton_prod : ({a} : Set α) ×ˢ t = Prod.mk a '' t := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align set.singleton_prod Set.singleton_prod
@[simp]
theorem prod_singleton : s ×ˢ ({b} : Set β) = (fun a => (a, b)) '' s := by
ext ⟨x, y⟩
simp [and_left_comm, eq_comm]
#align set.prod_singleton Set.prod_singleton
theorem singleton_prod_singleton : ({a} : Set α) ×ˢ ({b} : Set β) = {(a, b)} := by simp
#align set.singleton_prod_singleton Set.singleton_prod_singleton
@[simp]
theorem union_prod : (s₁ ∪ s₂) ×ˢ t = s₁ ×ˢ t ∪ s₂ ×ˢ t := by
ext ⟨x, y⟩
simp [or_and_right]
#align set.union_prod Set.union_prod
@[simp]
theorem prod_union : s ×ˢ (t₁ ∪ t₂) = s ×ˢ t₁ ∪ s ×ˢ t₂ := by
ext ⟨x, y⟩
simp [and_or_left]
#align set.prod_union Set.prod_union
theorem inter_prod : (s₁ ∩ s₂) ×ˢ t = s₁ ×ˢ t ∩ s₂ ×ˢ t := by
ext ⟨x, y⟩
simp only [← and_and_right, mem_inter_iff, mem_prod]
#align set.inter_prod Set.inter_prod
theorem prod_inter : s ×ˢ (t₁ ∩ t₂) = s ×ˢ t₁ ∩ s ×ˢ t₂ := by
ext ⟨x, y⟩
simp only [← and_and_left, mem_inter_iff, mem_prod]
#align set.prod_inter Set.prod_inter
@[mfld_simps]
theorem prod_inter_prod : s₁ ×ˢ t₁ ∩ s₂ ×ˢ t₂ = (s₁ ∩ s₂) ×ˢ (t₁ ∩ t₂) := by
ext ⟨x, y⟩
simp [and_assoc, and_left_comm]
#align set.prod_inter_prod Set.prod_inter_prod
lemma compl_prod_eq_union {α β : Type*} (s : Set α) (t : Set β) :
(s ×ˢ t)ᶜ = (sᶜ ×ˢ univ) ∪ (univ ×ˢ tᶜ) := by
ext p
simp only [mem_compl_iff, mem_prod, not_and, mem_union, mem_univ, and_true, true_and]
constructor <;> intro h
· by_cases fst_in_s : p.fst ∈ s
· exact Or.inr (h fst_in_s)
· exact Or.inl fst_in_s
· intro fst_in_s
simpa only [fst_in_s, not_true, false_or] using h
@[simp]
theorem disjoint_prod : Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) ↔ Disjoint s₁ s₂ ∨ Disjoint t₁ t₂ := by
simp_rw [disjoint_left, mem_prod, not_and_or, Prod.forall, and_imp, ← @forall_or_right α, ←
@forall_or_left β, ← @forall_or_right (_ ∈ s₁), ← @forall_or_left (_ ∈ t₁)]
#align set.disjoint_prod Set.disjoint_prod
theorem Disjoint.set_prod_left (hs : Disjoint s₁ s₂) (t₁ t₂ : Set β) :
Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) :=
disjoint_left.2 fun ⟨_a, _b⟩ ⟨ha₁, _⟩ ⟨ha₂, _⟩ => disjoint_left.1 hs ha₁ ha₂
#align set.disjoint.set_prod_left Set.Disjoint.set_prod_left
theorem Disjoint.set_prod_right (ht : Disjoint t₁ t₂) (s₁ s₂ : Set α) :
Disjoint (s₁ ×ˢ t₁) (s₂ ×ˢ t₂) :=
disjoint_left.2 fun ⟨_a, _b⟩ ⟨_, hb₁⟩ ⟨_, hb₂⟩ => disjoint_left.1 ht hb₁ hb₂
#align set.disjoint.set_prod_right Set.Disjoint.set_prod_right
theorem insert_prod : insert a s ×ˢ t = Prod.mk a '' t ∪ s ×ˢ t := by
ext ⟨x, y⟩
simp (config := { contextual := true }) [image, iff_def, or_imp]
#align set.insert_prod Set.insert_prod
theorem prod_insert : s ×ˢ insert b t = (fun a => (a, b)) '' s ∪ s ×ˢ t := by
ext ⟨x, y⟩
-- porting note (#10745):
-- was `simp (config := { contextual := true }) [image, iff_def, or_imp, Imp.swap]`
simp only [mem_prod, mem_insert_iff, image, mem_union, mem_setOf_eq, Prod.mk.injEq]
refine ⟨fun h => ?_, fun h => ?_⟩
· obtain ⟨hx, rfl|hy⟩ := h
· exact Or.inl ⟨x, hx, rfl, rfl⟩
· exact Or.inr ⟨hx, hy⟩
· obtain ⟨x, hx, rfl, rfl⟩|⟨hx, hy⟩ := h
· exact ⟨hx, Or.inl rfl⟩
· exact ⟨hx, Or.inr hy⟩
#align set.prod_insert Set.prod_insert
theorem prod_preimage_eq {f : γ → α} {g : δ → β} :
(f ⁻¹' s) ×ˢ (g ⁻¹' t) = (fun p : γ × δ => (f p.1, g p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_eq Set.prod_preimage_eq
theorem prod_preimage_left {f : γ → α} :
(f ⁻¹' s) ×ˢ t = (fun p : γ × β => (f p.1, p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_left Set.prod_preimage_left
theorem prod_preimage_right {g : δ → β} :
s ×ˢ (g ⁻¹' t) = (fun p : α × δ => (p.1, g p.2)) ⁻¹' s ×ˢ t :=
rfl
#align set.prod_preimage_right Set.prod_preimage_right
theorem preimage_prod_map_prod (f : α → β) (g : γ → δ) (s : Set β) (t : Set δ) :
Prod.map f g ⁻¹' s ×ˢ t = (f ⁻¹' s) ×ˢ (g ⁻¹' t) :=
rfl
#align set.preimage_prod_map_prod Set.preimage_prod_map_prod
theorem mk_preimage_prod (f : γ → α) (g : γ → β) :
(fun x => (f x, g x)) ⁻¹' s ×ˢ t = f ⁻¹' s ∩ g ⁻¹' t :=
rfl
#align set.mk_preimage_prod Set.mk_preimage_prod
@[simp]
theorem mk_preimage_prod_left (hb : b ∈ t) : (fun a => (a, b)) ⁻¹' s ×ˢ t = s := by
ext a
simp [hb]
#align set.mk_preimage_prod_left Set.mk_preimage_prod_left
@[simp]
theorem mk_preimage_prod_right (ha : a ∈ s) : Prod.mk a ⁻¹' s ×ˢ t = t := by
ext b
simp [ha]
#align set.mk_preimage_prod_right Set.mk_preimage_prod_right
@[simp]
theorem mk_preimage_prod_left_eq_empty (hb : b ∉ t) : (fun a => (a, b)) ⁻¹' s ×ˢ t = ∅ := by
ext a
simp [hb]
#align set.mk_preimage_prod_left_eq_empty Set.mk_preimage_prod_left_eq_empty
@[simp]
theorem mk_preimage_prod_right_eq_empty (ha : a ∉ s) : Prod.mk a ⁻¹' s ×ˢ t = ∅ := by
ext b
simp [ha]
#align set.mk_preimage_prod_right_eq_empty Set.mk_preimage_prod_right_eq_empty
theorem mk_preimage_prod_left_eq_if [DecidablePred (· ∈ t)] :
(fun a => (a, b)) ⁻¹' s ×ˢ t = if b ∈ t then s else ∅ := by split_ifs with h <;> simp [h]
#align set.mk_preimage_prod_left_eq_if Set.mk_preimage_prod_left_eq_if
theorem mk_preimage_prod_right_eq_if [DecidablePred (· ∈ s)] :
Prod.mk a ⁻¹' s ×ˢ t = if a ∈ s then t else ∅ := by split_ifs with h <;> simp [h]
#align set.mk_preimage_prod_right_eq_if Set.mk_preimage_prod_right_eq_if
theorem mk_preimage_prod_left_fn_eq_if [DecidablePred (· ∈ t)] (f : γ → α) :
(fun a => (f a, b)) ⁻¹' s ×ˢ t = if b ∈ t then f ⁻¹' s else ∅ := by
rw [← mk_preimage_prod_left_eq_if, prod_preimage_left, preimage_preimage]
#align set.mk_preimage_prod_left_fn_eq_if Set.mk_preimage_prod_left_fn_eq_if
theorem mk_preimage_prod_right_fn_eq_if [DecidablePred (· ∈ s)] (g : δ → β) :
(fun b => (a, g b)) ⁻¹' s ×ˢ t = if a ∈ s then g ⁻¹' t else ∅ := by
rw [← mk_preimage_prod_right_eq_if, prod_preimage_right, preimage_preimage]
#align set.mk_preimage_prod_right_fn_eq_if Set.mk_preimage_prod_right_fn_eq_if
@[simp]
theorem preimage_swap_prod (s : Set α) (t : Set β) : Prod.swap ⁻¹' s ×ˢ t = t ×ˢ s := by
ext ⟨x, y⟩
simp [and_comm]
#align set.preimage_swap_prod Set.preimage_swap_prod
@[simp]
theorem image_swap_prod (s : Set α) (t : Set β) : Prod.swap '' s ×ˢ t = t ×ˢ s := by
rw [image_swap_eq_preimage_swap, preimage_swap_prod]
#align set.image_swap_prod Set.image_swap_prod
theorem prod_image_image_eq {m₁ : α → γ} {m₂ : β → δ} :
(m₁ '' s) ×ˢ (m₂ '' t) = (fun p : α × β => (m₁ p.1, m₂ p.2)) '' s ×ˢ t :=
ext <| by
simp [-exists_and_right, exists_and_right.symm, and_left_comm, and_assoc, and_comm]
#align set.prod_image_image_eq Set.prod_image_image_eq
theorem prod_range_range_eq {m₁ : α → γ} {m₂ : β → δ} :
range m₁ ×ˢ range m₂ = range fun p : α × β => (m₁ p.1, m₂ p.2) :=
ext <| by simp [range]
#align set.prod_range_range_eq Set.prod_range_range_eq
@[simp, mfld_simps]
theorem range_prod_map {m₁ : α → γ} {m₂ : β → δ} : range (Prod.map m₁ m₂) = range m₁ ×ˢ range m₂ :=
prod_range_range_eq.symm
#align set.range_prod_map Set.range_prod_map
theorem prod_range_univ_eq {m₁ : α → γ} :
range m₁ ×ˢ (univ : Set β) = range fun p : α × β => (m₁ p.1, p.2) :=
ext <| by simp [range]
#align set.prod_range_univ_eq Set.prod_range_univ_eq
theorem prod_univ_range_eq {m₂ : β → δ} :
(univ : Set α) ×ˢ range m₂ = range fun p : α × β => (p.1, m₂ p.2) :=
ext <| by simp [range]
#align set.prod_univ_range_eq Set.prod_univ_range_eq
theorem range_pair_subset (f : α → β) (g : α → γ) :
(range fun x => (f x, g x)) ⊆ range f ×ˢ range g := by
have : (fun x => (f x, g x)) = Prod.map f g ∘ fun x => (x, x) := funext fun x => rfl
rw [this, ← range_prod_map]
apply range_comp_subset_range
#align set.range_pair_subset Set.range_pair_subset
theorem Nonempty.prod : s.Nonempty → t.Nonempty → (s ×ˢ t).Nonempty := fun ⟨x, hx⟩ ⟨y, hy⟩ =>
⟨(x, y), ⟨hx, hy⟩⟩
#align set.nonempty.prod Set.Nonempty.prod
theorem Nonempty.fst : (s ×ˢ t).Nonempty → s.Nonempty := fun ⟨x, hx⟩ => ⟨x.1, hx.1⟩
#align set.nonempty.fst Set.Nonempty.fst
theorem Nonempty.snd : (s ×ˢ t).Nonempty → t.Nonempty := fun ⟨x, hx⟩ => ⟨x.2, hx.2⟩
#align set.nonempty.snd Set.Nonempty.snd
@[simp]
theorem prod_nonempty_iff : (s ×ˢ t).Nonempty ↔ s.Nonempty ∧ t.Nonempty :=
⟨fun h => ⟨h.fst, h.snd⟩, fun h => h.1.prod h.2⟩
#align set.prod_nonempty_iff Set.prod_nonempty_iff
@[simp]
theorem prod_eq_empty_iff : s ×ˢ t = ∅ ↔ s = ∅ ∨ t = ∅ := by
simp only [not_nonempty_iff_eq_empty.symm, prod_nonempty_iff, not_and_or]
#align set.prod_eq_empty_iff Set.prod_eq_empty_iff
theorem prod_sub_preimage_iff {W : Set γ} {f : α × β → γ} :
s ×ˢ t ⊆ f ⁻¹' W ↔ ∀ a b, a ∈ s → b ∈ t → f (a, b) ∈ W := by simp [subset_def]
#align set.prod_sub_preimage_iff Set.prod_sub_preimage_iff
theorem image_prod_mk_subset_prod {f : α → β} {g : α → γ} {s : Set α} :
(fun x => (f x, g x)) '' s ⊆ (f '' s) ×ˢ (g '' s) := by
rintro _ ⟨x, hx, rfl⟩
exact mk_mem_prod (mem_image_of_mem f hx) (mem_image_of_mem g hx)
#align set.image_prod_mk_subset_prod Set.image_prod_mk_subset_prod
theorem image_prod_mk_subset_prod_left (hb : b ∈ t) : (fun a => (a, b)) '' s ⊆ s ×ˢ t := by
rintro _ ⟨a, ha, rfl⟩
exact ⟨ha, hb⟩
#align set.image_prod_mk_subset_prod_left Set.image_prod_mk_subset_prod_left
theorem image_prod_mk_subset_prod_right (ha : a ∈ s) : Prod.mk a '' t ⊆ s ×ˢ t := by
rintro _ ⟨b, hb, rfl⟩
exact ⟨ha, hb⟩
#align set.image_prod_mk_subset_prod_right Set.image_prod_mk_subset_prod_right
theorem prod_subset_preimage_fst (s : Set α) (t : Set β) : s ×ˢ t ⊆ Prod.fst ⁻¹' s :=
inter_subset_left
#align set.prod_subset_preimage_fst Set.prod_subset_preimage_fst
theorem fst_image_prod_subset (s : Set α) (t : Set β) : Prod.fst '' s ×ˢ t ⊆ s :=
image_subset_iff.2 <| prod_subset_preimage_fst s t
#align set.fst_image_prod_subset Set.fst_image_prod_subset
theorem fst_image_prod (s : Set β) {t : Set α} (ht : t.Nonempty) : Prod.fst '' s ×ˢ t = s :=
(fst_image_prod_subset _ _).antisymm fun y hy =>
let ⟨x, hx⟩ := ht
⟨(y, x), ⟨hy, hx⟩, rfl⟩
#align set.fst_image_prod Set.fst_image_prod
theorem prod_subset_preimage_snd (s : Set α) (t : Set β) : s ×ˢ t ⊆ Prod.snd ⁻¹' t :=
inter_subset_right
#align set.prod_subset_preimage_snd Set.prod_subset_preimage_snd
theorem snd_image_prod_subset (s : Set α) (t : Set β) : Prod.snd '' s ×ˢ t ⊆ t :=
image_subset_iff.2 <| prod_subset_preimage_snd s t
#align set.snd_image_prod_subset Set.snd_image_prod_subset
theorem snd_image_prod {s : Set α} (hs : s.Nonempty) (t : Set β) : Prod.snd '' s ×ˢ t = t :=
(snd_image_prod_subset _ _).antisymm fun y y_in =>
let ⟨x, x_in⟩ := hs
⟨(x, y), ⟨x_in, y_in⟩, rfl⟩
#align set.snd_image_prod Set.snd_image_prod
theorem prod_diff_prod : s ×ˢ t \ s₁ ×ˢ t₁ = s ×ˢ (t \ t₁) ∪ (s \ s₁) ×ˢ t := by
ext x
by_cases h₁ : x.1 ∈ s₁ <;> by_cases h₂ : x.2 ∈ t₁ <;> simp [*]
#align set.prod_diff_prod Set.prod_diff_prod
theorem prod_subset_prod_iff : s ×ˢ t ⊆ s₁ ×ˢ t₁ ↔ s ⊆ s₁ ∧ t ⊆ t₁ ∨ s = ∅ ∨ t = ∅ := by
rcases (s ×ˢ t).eq_empty_or_nonempty with h | h
· simp [h, prod_eq_empty_iff.1 h]
have st : s.Nonempty ∧ t.Nonempty := by rwa [prod_nonempty_iff] at h
refine ⟨fun H => Or.inl ⟨?_, ?_⟩, ?_⟩
· have := image_subset (Prod.fst : α × β → α) H
rwa [fst_image_prod _ st.2, fst_image_prod _ (h.mono H).snd] at this
· have := image_subset (Prod.snd : α × β → β) H
rwa [snd_image_prod st.1, snd_image_prod (h.mono H).fst] at this
· intro H
simp only [st.1.ne_empty, st.2.ne_empty, or_false_iff] at H
exact prod_mono H.1 H.2
#align set.prod_subset_prod_iff Set.prod_subset_prod_iff
theorem prod_eq_prod_iff_of_nonempty (h : (s ×ˢ t).Nonempty) :
s ×ˢ t = s₁ ×ˢ t₁ ↔ s = s₁ ∧ t = t₁ := by
constructor
· intro heq
have h₁ : (s₁ ×ˢ t₁ : Set _).Nonempty := by rwa [← heq]
rw [prod_nonempty_iff] at h h₁
rw [← fst_image_prod s h.2, ← fst_image_prod s₁ h₁.2, heq, eq_self_iff_true, true_and_iff, ←
snd_image_prod h.1 t, ← snd_image_prod h₁.1 t₁, heq]
· rintro ⟨rfl, rfl⟩
rfl
#align set.prod_eq_prod_iff_of_nonempty Set.prod_eq_prod_iff_of_nonempty
theorem prod_eq_prod_iff :
s ×ˢ t = s₁ ×ˢ t₁ ↔ s = s₁ ∧ t = t₁ ∨ (s = ∅ ∨ t = ∅) ∧ (s₁ = ∅ ∨ t₁ = ∅) := by
symm
rcases eq_empty_or_nonempty (s ×ˢ t) with h | h
· simp_rw [h, @eq_comm _ ∅, prod_eq_empty_iff, prod_eq_empty_iff.mp h, true_and_iff,
or_iff_right_iff_imp]
rintro ⟨rfl, rfl⟩
exact prod_eq_empty_iff.mp h
rw [prod_eq_prod_iff_of_nonempty h]
rw [nonempty_iff_ne_empty, Ne, prod_eq_empty_iff] at h
simp_rw [h, false_and_iff, or_false_iff]
#align set.prod_eq_prod_iff Set.prod_eq_prod_iff
@[simp]
theorem prod_eq_iff_eq (ht : t.Nonempty) : s ×ˢ t = s₁ ×ˢ t ↔ s = s₁ := by
simp_rw [prod_eq_prod_iff, ht.ne_empty, and_true_iff, or_iff_left_iff_imp,
or_false_iff]
rintro ⟨rfl, rfl⟩
rfl
#align set.prod_eq_iff_eq Set.prod_eq_iff_eq
section Diagonal
variable {α : Type*} {s t : Set α}
lemma diagonal_nonempty [Nonempty α] : (diagonal α).Nonempty :=
Nonempty.elim ‹_› fun x => ⟨_, mem_diagonal x⟩
#align set.diagonal_nonempty Set.diagonal_nonempty
instance decidableMemDiagonal [h : DecidableEq α] (x : α × α) : Decidable (x ∈ diagonal α) :=
h x.1 x.2
#align set.decidable_mem_diagonal Set.decidableMemDiagonal
| Mathlib/Data/Set/Prod.lean | 477 | 480 | theorem preimage_coe_coe_diagonal (s : Set α) :
Prod.map (fun x : s => (x : α)) (fun x : s => (x : α)) ⁻¹' diagonal α = diagonal s := by |
ext ⟨⟨x, hx⟩, ⟨y, hy⟩⟩
simp [Set.diagonal]
|
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"
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)
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
@[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
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
@[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
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
@[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
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
@[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'
@[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
@[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)
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
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
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
| Mathlib/LinearAlgebra/Span.lean | 351 | 352 | 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]
|
import Mathlib.Data.Finset.Sum
import Mathlib.Data.Sum.Order
import Mathlib.Order.Interval.Finset.Defs
#align_import data.sum.interval from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999"
open Function Sum
namespace Finset
variable {α₁ α₂ β₁ β₂ γ₁ γ₂ : Type*}
section SumLift₂
variable (f f₁ g₁ : α₁ → β₁ → Finset γ₁) (g f₂ g₂ : α₂ → β₂ → Finset γ₂)
@[simp]
def sumLift₂ : ∀ (_ : Sum α₁ α₂) (_ : Sum β₁ β₂), Finset (Sum γ₁ γ₂)
| inl a, inl b => (f a b).map Embedding.inl
| inl _, inr _ => ∅
| inr _, inl _ => ∅
| inr a, inr b => (g a b).map Embedding.inr
#align finset.sum_lift₂ Finset.sumLift₂
variable {f f₁ g₁ g f₂ g₂} {a : Sum α₁ α₂} {b : Sum β₁ β₂} {c : Sum γ₁ γ₂}
theorem mem_sumLift₂ :
c ∈ sumLift₂ f g a b ↔
(∃ a₁ b₁ c₁, a = inl a₁ ∧ b = inl b₁ ∧ c = inl c₁ ∧ c₁ ∈ f a₁ b₁) ∨
∃ a₂ b₂ c₂, a = inr a₂ ∧ b = inr b₂ ∧ c = inr c₂ ∧ c₂ ∈ g a₂ b₂ := by
constructor
· cases' a with a a <;> cases' b with b b
· rw [sumLift₂, mem_map]
rintro ⟨c, hc, rfl⟩
exact Or.inl ⟨a, b, c, rfl, rfl, rfl, hc⟩
· refine fun h ↦ (not_mem_empty _ h).elim
· refine fun h ↦ (not_mem_empty _ h).elim
· rw [sumLift₂, mem_map]
rintro ⟨c, hc, rfl⟩
exact Or.inr ⟨a, b, c, rfl, rfl, rfl, hc⟩
· rintro (⟨a, b, c, rfl, rfl, rfl, h⟩ | ⟨a, b, c, rfl, rfl, rfl, h⟩) <;> exact mem_map_of_mem _ h
#align finset.mem_sum_lift₂ Finset.mem_sumLift₂
theorem inl_mem_sumLift₂ {c₁ : γ₁} :
inl c₁ ∈ sumLift₂ f g a b ↔ ∃ a₁ b₁, a = inl a₁ ∧ b = inl b₁ ∧ c₁ ∈ f a₁ b₁ := by
rw [mem_sumLift₂, or_iff_left]
· simp only [inl.injEq, exists_and_left, exists_eq_left']
rintro ⟨_, _, c₂, _, _, h, _⟩
exact inl_ne_inr h
#align finset.inl_mem_sum_lift₂ Finset.inl_mem_sumLift₂
theorem inr_mem_sumLift₂ {c₂ : γ₂} :
inr c₂ ∈ sumLift₂ f g a b ↔ ∃ a₂ b₂, a = inr a₂ ∧ b = inr b₂ ∧ c₂ ∈ g a₂ b₂ := by
rw [mem_sumLift₂, or_iff_right]
· simp only [inr.injEq, exists_and_left, exists_eq_left']
rintro ⟨_, _, c₂, _, _, h, _⟩
exact inr_ne_inl h
#align finset.inr_mem_sum_lift₂ Finset.inr_mem_sumLift₂
| Mathlib/Data/Sum/Interval.lean | 76 | 88 | theorem sumLift₂_eq_empty :
sumLift₂ f g a b = ∅ ↔
(∀ a₁ b₁, a = inl a₁ → b = inl b₁ → f a₁ b₁ = ∅) ∧
∀ a₂ b₂, a = inr a₂ → b = inr b₂ → g a₂ b₂ = ∅ := by |
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· constructor <;>
· rintro a b rfl rfl
exact map_eq_empty.1 h
cases a <;> cases b
· exact map_eq_empty.2 (h.1 _ _ rfl rfl)
· rfl
· rfl
· exact map_eq_empty.2 (h.2 _ _ rfl rfl)
|
import Mathlib.RingTheory.WittVector.Basic
import Mathlib.RingTheory.WittVector.IsPoly
#align_import ring_theory.witt_vector.verschiebung from "leanprover-community/mathlib"@"32b08ef840dd25ca2e47e035c5da03ce16d2dc3c"
namespace WittVector
open MvPolynomial
variable {p : ℕ} {R S : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S]
local notation "𝕎" => WittVector p -- type as `\bbW`
noncomputable section
def verschiebungFun (x : 𝕎 R) : 𝕎 R :=
@mk' p _ fun n => if n = 0 then 0 else x.coeff (n - 1)
#align witt_vector.verschiebung_fun WittVector.verschiebungFun
| Mathlib/RingTheory/WittVector/Verschiebung.lean | 42 | 44 | theorem verschiebungFun_coeff (x : 𝕎 R) (n : ℕ) :
(verschiebungFun x).coeff n = if n = 0 then 0 else x.coeff (n - 1) := by |
simp only [verschiebungFun, ge_iff_le]
|
import Mathlib.Algebra.Polynomial.Degree.Definitions
#align_import ring_theory.polynomial.opposites from "leanprover-community/mathlib"@"63417e01fbc711beaf25fa73b6edb395c0cfddd0"
open Polynomial
open Polynomial MulOpposite
variable {R : Type*} [Semiring R]
noncomputable section
namespace Polynomial
def opRingEquiv (R : Type*) [Semiring R] : R[X]ᵐᵒᵖ ≃+* Rᵐᵒᵖ[X] :=
((toFinsuppIso R).op.trans AddMonoidAlgebra.opRingEquiv).trans (toFinsuppIso _).symm
#align polynomial.op_ring_equiv Polynomial.opRingEquiv
@[simp]
theorem opRingEquiv_op_monomial (n : ℕ) (r : R) :
opRingEquiv R (op (monomial n r : R[X])) = monomial n (op r) := by
simp only [opRingEquiv, RingEquiv.coe_trans, Function.comp_apply,
AddMonoidAlgebra.opRingEquiv_apply, RingEquiv.op_apply_apply, toFinsuppIso_apply, unop_op,
toFinsupp_monomial, Finsupp.mapRange_single, toFinsuppIso_symm_apply, ofFinsupp_single]
#align polynomial.op_ring_equiv_op_monomial Polynomial.opRingEquiv_op_monomial
@[simp]
theorem opRingEquiv_op_C (a : R) : opRingEquiv R (op (C a)) = C (op a) :=
opRingEquiv_op_monomial 0 a
set_option linter.uppercaseLean3 false in
#align polynomial.op_ring_equiv_op_C Polynomial.opRingEquiv_op_C
@[simp]
theorem opRingEquiv_op_X : opRingEquiv R (op (X : R[X])) = X :=
opRingEquiv_op_monomial 1 1
set_option linter.uppercaseLean3 false in
#align polynomial.op_ring_equiv_op_X Polynomial.opRingEquiv_op_X
theorem opRingEquiv_op_C_mul_X_pow (r : R) (n : ℕ) :
opRingEquiv R (op (C r * X ^ n : R[X])) = C (op r) * X ^ n := by
simp only [X_pow_mul, op_mul, op_pow, map_mul, map_pow, opRingEquiv_op_X, opRingEquiv_op_C]
set_option linter.uppercaseLean3 false in
#align polynomial.op_ring_equiv_op_C_mul_X_pow Polynomial.opRingEquiv_op_C_mul_X_pow
@[simp]
theorem opRingEquiv_symm_monomial (n : ℕ) (r : Rᵐᵒᵖ) :
(opRingEquiv R).symm (monomial n r) = op (monomial n (unop r)) :=
(opRingEquiv R).injective (by simp)
#align polynomial.op_ring_equiv_symm_monomial Polynomial.opRingEquiv_symm_monomial
@[simp]
theorem opRingEquiv_symm_C (a : Rᵐᵒᵖ) : (opRingEquiv R).symm (C a) = op (C (unop a)) :=
opRingEquiv_symm_monomial 0 a
set_option linter.uppercaseLean3 false in
#align polynomial.op_ring_equiv_symm_C Polynomial.opRingEquiv_symm_C
@[simp]
theorem opRingEquiv_symm_X : (opRingEquiv R).symm (X : Rᵐᵒᵖ[X]) = op X :=
opRingEquiv_symm_monomial 1 1
set_option linter.uppercaseLean3 false in
#align polynomial.op_ring_equiv_symm_X Polynomial.opRingEquiv_symm_X
theorem opRingEquiv_symm_C_mul_X_pow (r : Rᵐᵒᵖ) (n : ℕ) :
(opRingEquiv R).symm (C r * X ^ n : Rᵐᵒᵖ[X]) = op (C (unop r) * X ^ n) := by
rw [C_mul_X_pow_eq_monomial, opRingEquiv_symm_monomial, C_mul_X_pow_eq_monomial]
set_option linter.uppercaseLean3 false in
#align polynomial.op_ring_equiv_symm_C_mul_X_pow Polynomial.opRingEquiv_symm_C_mul_X_pow
@[simp]
| Mathlib/RingTheory/Polynomial/Opposites.lean | 95 | 99 | theorem coeff_opRingEquiv (p : R[X]ᵐᵒᵖ) (n : ℕ) :
(opRingEquiv R p).coeff n = op ((unop p).coeff n) := by |
induction' p using MulOpposite.rec' with p
cases p
rfl
|
import Mathlib.Data.Stream.Init
import Mathlib.Tactic.Common
#align_import data.seq.computation from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58"
open Function
universe u v w
def Computation (α : Type u) : Type u :=
{ f : Stream' (Option α) // ∀ ⦃n a⦄, f n = some a → f (n + 1) = some a }
#align computation Computation
namespace Computation
variable {α : Type u} {β : Type v} {γ : Type w}
-- constructors
-- Porting note: `return` is reserved, so changed to `pure`
def pure (a : α) : Computation α :=
⟨Stream'.const (some a), fun _ _ => id⟩
#align computation.return Computation.pure
instance : CoeTC α (Computation α) :=
⟨pure⟩
-- note [use has_coe_t]
def think (c : Computation α) : Computation α :=
⟨Stream'.cons none c.1, fun n a h => by
cases' n with n
· contradiction
· exact c.2 h⟩
#align computation.think Computation.think
def thinkN (c : Computation α) : ℕ → Computation α
| 0 => c
| n + 1 => think (thinkN c n)
set_option linter.uppercaseLean3 false in
#align computation.thinkN Computation.thinkN
-- check for immediate result
def head (c : Computation α) : Option α :=
c.1.head
#align computation.head Computation.head
-- one step of computation
def tail (c : Computation α) : Computation α :=
⟨c.1.tail, fun _ _ h => c.2 h⟩
#align computation.tail Computation.tail
def empty (α) : Computation α :=
⟨Stream'.const none, fun _ _ => id⟩
#align computation.empty Computation.empty
instance : Inhabited (Computation α) :=
⟨empty _⟩
def runFor : Computation α → ℕ → Option α :=
Subtype.val
#align computation.run_for Computation.runFor
def destruct (c : Computation α) : Sum α (Computation α) :=
match c.1 0 with
| none => Sum.inr (tail c)
| some a => Sum.inl a
#align computation.destruct Computation.destruct
unsafe def run : Computation α → α
| c =>
match destruct c with
| Sum.inl a => a
| Sum.inr ca => run ca
#align computation.run Computation.run
| Mathlib/Data/Seq/Computation.lean | 114 | 123 | theorem destruct_eq_pure {s : Computation α} {a : α} : destruct s = Sum.inl a → s = pure a := by |
dsimp [destruct]
induction' f0 : s.1 0 with _ <;> intro h
· contradiction
· apply Subtype.eq
funext n
induction' n with n IH
· injection h with h'
rwa [h'] at f0
· exact s.2 IH
|
import Mathlib.Algebra.MvPolynomial.PDeriv
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.LinearAlgebra.LinearIndependent
import Mathlib.RingTheory.Polynomial.Pochhammer
#align_import ring_theory.polynomial.bernstein from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
noncomputable section
open Nat (choose)
open Polynomial (X)
open scoped Polynomial
variable (R : Type*) [CommRing R]
def bernsteinPolynomial (n ν : ℕ) : R[X] :=
(choose n ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν)
#align bernstein_polynomial bernsteinPolynomial
example : bernsteinPolynomial ℤ 3 2 = 3 * X ^ 2 - 3 * X ^ 3 := by
norm_num [bernsteinPolynomial, choose]
ring
namespace bernsteinPolynomial
theorem eq_zero_of_lt {n ν : ℕ} (h : n < ν) : bernsteinPolynomial R n ν = 0 := by
simp [bernsteinPolynomial, Nat.choose_eq_zero_of_lt h]
#align bernstein_polynomial.eq_zero_of_lt bernsteinPolynomial.eq_zero_of_lt
section
variable {R} {S : Type*} [CommRing S]
@[simp]
theorem map (f : R →+* S) (n ν : ℕ) :
(bernsteinPolynomial R n ν).map f = bernsteinPolynomial S n ν := by simp [bernsteinPolynomial]
#align bernstein_polynomial.map bernsteinPolynomial.map
end
theorem flip (n ν : ℕ) (h : ν ≤ n) :
(bernsteinPolynomial R n ν).comp (1 - X) = bernsteinPolynomial R n (n - ν) := by
simp [bernsteinPolynomial, h, tsub_tsub_assoc, mul_right_comm]
#align bernstein_polynomial.flip bernsteinPolynomial.flip
theorem flip' (n ν : ℕ) (h : ν ≤ n) :
bernsteinPolynomial R n ν = (bernsteinPolynomial R n (n - ν)).comp (1 - X) := by
simp [← flip _ _ _ h, Polynomial.comp_assoc]
#align bernstein_polynomial.flip' bernsteinPolynomial.flip'
theorem eval_at_0 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 0 = if ν = 0 then 1 else 0 := by
rw [bernsteinPolynomial]
split_ifs with h
· subst h; simp
· simp [zero_pow h]
#align bernstein_polynomial.eval_at_0 bernsteinPolynomial.eval_at_0
theorem eval_at_1 (n ν : ℕ) : (bernsteinPolynomial R n ν).eval 1 = if ν = n then 1 else 0 := by
rw [bernsteinPolynomial]
split_ifs with h
· subst h; simp
· obtain hνn | hnν := Ne.lt_or_lt h
· simp [zero_pow $ Nat.sub_ne_zero_of_lt hνn]
· simp [Nat.choose_eq_zero_of_lt hnν]
#align bernstein_polynomial.eval_at_1 bernsteinPolynomial.eval_at_1
theorem derivative_succ_aux (n ν : ℕ) :
Polynomial.derivative (bernsteinPolynomial R (n + 1) (ν + 1)) =
(n + 1) * (bernsteinPolynomial R n ν - bernsteinPolynomial R n (ν + 1)) := by
rw [bernsteinPolynomial]
suffices ((n + 1).choose (ν + 1) : R[X]) * ((↑(ν + 1 : ℕ) : R[X]) * X ^ ν) * (1 - X) ^ (n - ν) -
((n + 1).choose (ν + 1) : R[X]) * X ^ (ν + 1) * ((↑(n - ν) : R[X]) * (1 - X) ^ (n - ν - 1)) =
(↑(n + 1) : R[X]) * ((n.choose ν : R[X]) * X ^ ν * (1 - X) ^ (n - ν) -
(n.choose (ν + 1) : R[X]) * X ^ (ν + 1) * (1 - X) ^ (n - (ν + 1))) by
simpa [Polynomial.derivative_pow, ← sub_eq_add_neg, Nat.succ_sub_succ_eq_sub,
Polynomial.derivative_mul, Polynomial.derivative_natCast, zero_mul,
Nat.cast_add, algebraMap.coe_one, Polynomial.derivative_X, mul_one, zero_add,
Polynomial.derivative_sub, Polynomial.derivative_one, zero_sub, mul_neg, Nat.sub_zero,
bernsteinPolynomial, map_add, map_natCast, Nat.cast_one]
conv_rhs => rw [mul_sub]
-- We'll prove the two terms match up separately.
refine congr (congr_arg Sub.sub ?_) ?_
· simp only [← mul_assoc]
apply congr (congr_arg (· * ·) (congr (congr_arg (· * ·) _) rfl)) rfl
-- Now it's just about binomial coefficients
exact mod_cast congr_arg (fun m : ℕ => (m : R[X])) (Nat.succ_mul_choose_eq n ν).symm
· rw [← tsub_add_eq_tsub_tsub, ← mul_assoc, ← mul_assoc]; congr 1
rw [mul_comm, ← mul_assoc, ← mul_assoc]; congr 1
norm_cast
congr 1
convert (Nat.choose_mul_succ_eq n (ν + 1)).symm using 1
· -- Porting note: was
-- convert mul_comm _ _ using 2
-- simp
rw [mul_comm, Nat.succ_sub_succ_eq_sub]
· apply mul_comm
#align bernstein_polynomial.derivative_succ_aux bernsteinPolynomial.derivative_succ_aux
theorem derivative_succ (n ν : ℕ) : Polynomial.derivative (bernsteinPolynomial R n (ν + 1)) =
n * (bernsteinPolynomial R (n - 1) ν - bernsteinPolynomial R (n - 1) (ν + 1)) := by
cases n
· simp [bernsteinPolynomial]
· rw [Nat.cast_succ]; apply derivative_succ_aux
#align bernstein_polynomial.derivative_succ bernsteinPolynomial.derivative_succ
theorem derivative_zero (n : ℕ) :
Polynomial.derivative (bernsteinPolynomial R n 0) = -n * bernsteinPolynomial R (n - 1) 0 := by
simp [bernsteinPolynomial, Polynomial.derivative_pow]
#align bernstein_polynomial.derivative_zero bernsteinPolynomial.derivative_zero
theorem iterate_derivative_at_0_eq_zero_of_lt (n : ℕ) {ν k : ℕ} :
k < ν → (Polynomial.derivative^[k] (bernsteinPolynomial R n ν)).eval 0 = 0 := by
cases' ν with ν
· rintro ⟨⟩
· rw [Nat.lt_succ_iff]
induction' k with k ih generalizing n ν
· simp [eval_at_0]
· simp only [derivative_succ, Int.natCast_eq_zero, mul_eq_zero, Function.comp_apply,
Function.iterate_succ, Polynomial.iterate_derivative_sub,
Polynomial.iterate_derivative_natCast_mul, Polynomial.eval_mul, Polynomial.eval_natCast,
Polynomial.eval_sub]
intro h
apply mul_eq_zero_of_right
rw [ih _ _ (Nat.le_of_succ_le h), sub_zero]
convert ih _ _ (Nat.pred_le_pred h)
exact (Nat.succ_pred_eq_of_pos (k.succ_pos.trans_le h)).symm
#align bernstein_polynomial.iterate_derivative_at_0_eq_zero_of_lt bernsteinPolynomial.iterate_derivative_at_0_eq_zero_of_lt
@[simp]
theorem iterate_derivative_succ_at_0_eq_zero (n ν : ℕ) :
(Polynomial.derivative^[ν] (bernsteinPolynomial R n (ν + 1))).eval 0 = 0 :=
iterate_derivative_at_0_eq_zero_of_lt R n (lt_add_one ν)
#align bernstein_polynomial.iterate_derivative_succ_at_0_eq_zero bernsteinPolynomial.iterate_derivative_succ_at_0_eq_zero
open Polynomial
@[simp]
| Mathlib/RingTheory/Polynomial/Bernstein.lean | 173 | 193 | theorem iterate_derivative_at_0 (n ν : ℕ) :
(Polynomial.derivative^[ν] (bernsteinPolynomial R n ν)).eval 0 =
(ascPochhammer R ν).eval ((n - (ν - 1) : ℕ) : R) := by |
by_cases h : ν ≤ n
· induction' ν with ν ih generalizing n
· simp [eval_at_0]
· have h' : ν ≤ n - 1 := le_tsub_of_add_le_right h
simp only [derivative_succ, ih (n - 1) h', iterate_derivative_succ_at_0_eq_zero,
Nat.succ_sub_succ_eq_sub, tsub_zero, sub_zero, iterate_derivative_sub,
iterate_derivative_natCast_mul, eval_one, eval_mul, eval_add, eval_sub, eval_X, eval_comp,
eval_natCast, Function.comp_apply, Function.iterate_succ, ascPochhammer_succ_left]
obtain rfl | h'' := ν.eq_zero_or_pos
· simp
· have : n - 1 - (ν - 1) = n - ν := by
rw [gt_iff_lt, ← Nat.succ_le_iff] at h''
rw [← tsub_add_eq_tsub_tsub, add_comm, tsub_add_cancel_of_le h'']
rw [this, ascPochhammer_eval_succ]
rw_mod_cast [tsub_add_cancel_of_le (h'.trans n.pred_le)]
· simp only [not_le] at h
rw [tsub_eq_zero_iff_le.mpr (Nat.le_sub_one_of_lt h), eq_zero_of_lt R h]
simp [pos_iff_ne_zero.mp (pos_of_gt h)]
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.MvPolynomial.Basic
import Mathlib.Analysis.Analytic.Constructions
import Mathlib.Topology.Algebra.Module.FiniteDimension
variable {𝕜 E A B : Type*} [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E]
[CommSemiring A] {z : E} {s : Set E}
section Polynomial
open Polynomial
variable [NormedRing B] [NormedAlgebra 𝕜 B] [Algebra A B] {f : E → B}
| Mathlib/Analysis/Analytic/Polynomial.lean | 26 | 32 | theorem AnalyticAt.aeval_polynomial (hf : AnalyticAt 𝕜 f z) (p : A[X]) :
AnalyticAt 𝕜 (fun x ↦ aeval (f x) p) z := by |
refine p.induction_on (fun k ↦ ?_) (fun p q hp hq ↦ ?_) fun p i hp ↦ ?_
· simp_rw [aeval_C]; apply analyticAt_const
· simp_rw [aeval_add]; exact hp.add hq
· convert hp.mul hf
simp_rw [pow_succ, aeval_mul, ← mul_assoc, aeval_X]
|
import Mathlib.CategoryTheory.Filtered.Connected
import Mathlib.CategoryTheory.Limits.TypesFiltered
import Mathlib.CategoryTheory.Limits.Final
universe v₁ v₂ u₁ u₂
namespace CategoryTheory
open CategoryTheory.Limits CategoryTheory.Functor Opposite
section ArbitraryUniverses
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D)
theorem Functor.final_of_isFiltered_structuredArrow [∀ d, IsFiltered (StructuredArrow d F)] :
Final F where
out _ := IsFiltered.isConnected _
theorem Functor.initial_of_isCofiltered_costructuredArrow
[∀ d, IsCofiltered (CostructuredArrow F d)] : Initial F where
out _ := IsCofiltered.isConnected _
| Mathlib/CategoryTheory/Filtered/Final.lean | 56 | 72 | theorem isFiltered_structuredArrow_of_isFiltered_of_exists [IsFilteredOrEmpty C]
(h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c),
∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) (d : D) :
IsFiltered (StructuredArrow d F) := by |
have : Nonempty (StructuredArrow d F) := by
obtain ⟨c, ⟨f⟩⟩ := h₁ d
exact ⟨.mk f⟩
suffices IsFilteredOrEmpty (StructuredArrow d F) from IsFiltered.mk
refine ⟨fun f g => ?_, fun f g η μ => ?_⟩
· obtain ⟨c, ⟨t, ht⟩⟩ := h₂ (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right))
(g.hom ≫ F.map (IsFiltered.rightToMax f.right g.right))
refine ⟨.mk (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right ≫ t)), ?_, ?_, trivial⟩
· exact StructuredArrow.homMk (IsFiltered.leftToMax _ _ ≫ t) rfl
· exact StructuredArrow.homMk (IsFiltered.rightToMax _ _ ≫ t) (by simpa using ht.symm)
· refine ⟨.mk (f.hom ≫ F.map (η.right ≫ IsFiltered.coeqHom η.right μ.right)),
StructuredArrow.homMk (IsFiltered.coeqHom η.right μ.right) (by simp), ?_⟩
simpa using IsFiltered.coeq_condition _ _
|
import Mathlib.MeasureTheory.Measure.MeasureSpace
import Mathlib.MeasureTheory.Measure.Regular
import Mathlib.Topology.Sets.Compacts
#align_import measure_theory.measure.content from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
universe u v w
noncomputable section
open Set TopologicalSpace
open NNReal ENNReal MeasureTheory
namespace MeasureTheory
variable {G : Type w} [TopologicalSpace G]
structure Content (G : Type w) [TopologicalSpace G] where
toFun : Compacts G → ℝ≥0
mono' : ∀ K₁ K₂ : Compacts G, (K₁ : Set G) ⊆ K₂ → toFun K₁ ≤ toFun K₂
sup_disjoint' :
∀ K₁ K₂ : Compacts G, Disjoint (K₁ : Set G) K₂ → IsClosed (K₁ : Set G) → IsClosed (K₂ : Set G)
→ toFun (K₁ ⊔ K₂) = toFun K₁ + toFun K₂
sup_le' : ∀ K₁ K₂ : Compacts G, toFun (K₁ ⊔ K₂) ≤ toFun K₁ + toFun K₂
#align measure_theory.content MeasureTheory.Content
instance : Inhabited (Content G) :=
⟨{ toFun := fun _ => 0
mono' := by simp
sup_disjoint' := by simp
sup_le' := by simp }⟩
instance : CoeFun (Content G) fun _ => Compacts G → ℝ≥0∞ :=
⟨fun μ s => μ.toFun s⟩
namespace Content
variable (μ : Content G)
theorem apply_eq_coe_toFun (K : Compacts G) : μ K = μ.toFun K :=
rfl
#align measure_theory.content.apply_eq_coe_to_fun MeasureTheory.Content.apply_eq_coe_toFun
theorem mono (K₁ K₂ : Compacts G) (h : (K₁ : Set G) ⊆ K₂) : μ K₁ ≤ μ K₂ := by
simp [apply_eq_coe_toFun, μ.mono' _ _ h]
#align measure_theory.content.mono MeasureTheory.Content.mono
theorem sup_disjoint (K₁ K₂ : Compacts G) (h : Disjoint (K₁ : Set G) K₂)
(h₁ : IsClosed (K₁ : Set G)) (h₂ : IsClosed (K₂ : Set G)) :
μ (K₁ ⊔ K₂) = μ K₁ + μ K₂ := by
simp [apply_eq_coe_toFun, μ.sup_disjoint' _ _ h]
#align measure_theory.content.sup_disjoint MeasureTheory.Content.sup_disjoint
theorem sup_le (K₁ K₂ : Compacts G) : μ (K₁ ⊔ K₂) ≤ μ K₁ + μ K₂ := by
simp only [apply_eq_coe_toFun]
norm_cast
exact μ.sup_le' _ _
#align measure_theory.content.sup_le MeasureTheory.Content.sup_le
theorem lt_top (K : Compacts G) : μ K < ∞ :=
ENNReal.coe_lt_top
#align measure_theory.content.lt_top MeasureTheory.Content.lt_top
theorem empty : μ ⊥ = 0 := by
have := μ.sup_disjoint' ⊥ ⊥
simpa [apply_eq_coe_toFun] using this
#align measure_theory.content.empty MeasureTheory.Content.empty
def innerContent (U : Opens G) : ℝ≥0∞ :=
⨆ (K : Compacts G) (_ : (K : Set G) ⊆ U), μ K
#align measure_theory.content.inner_content MeasureTheory.Content.innerContent
theorem le_innerContent (K : Compacts G) (U : Opens G) (h2 : (K : Set G) ⊆ U) :
μ K ≤ μ.innerContent U :=
le_iSup_of_le K <| le_iSup (fun _ ↦ (μ.toFun K : ℝ≥0∞)) h2
#align measure_theory.content.le_inner_content MeasureTheory.Content.le_innerContent
theorem innerContent_le (U : Opens G) (K : Compacts G) (h2 : (U : Set G) ⊆ K) :
μ.innerContent U ≤ μ K :=
iSup₂_le fun _ hK' => μ.mono _ _ (Subset.trans hK' h2)
#align measure_theory.content.inner_content_le MeasureTheory.Content.innerContent_le
theorem innerContent_of_isCompact {K : Set G} (h1K : IsCompact K) (h2K : IsOpen K) :
μ.innerContent ⟨K, h2K⟩ = μ ⟨K, h1K⟩ :=
le_antisymm (iSup₂_le fun _ hK' => μ.mono _ ⟨K, h1K⟩ hK') (μ.le_innerContent _ _ Subset.rfl)
#align measure_theory.content.inner_content_of_is_compact MeasureTheory.Content.innerContent_of_isCompact
theorem innerContent_bot : μ.innerContent ⊥ = 0 := by
refine le_antisymm ?_ (zero_le _)
rw [← μ.empty]
refine iSup₂_le fun K hK => ?_
have : K = ⊥ := by
ext1
rw [subset_empty_iff.mp hK, Compacts.coe_bot]
rw [this]
#align measure_theory.content.inner_content_bot MeasureTheory.Content.innerContent_bot
theorem innerContent_mono ⦃U V : Set G⦄ (hU : IsOpen U) (hV : IsOpen V) (h2 : U ⊆ V) :
μ.innerContent ⟨U, hU⟩ ≤ μ.innerContent ⟨V, hV⟩ :=
biSup_mono fun _ hK => hK.trans h2
#align measure_theory.content.inner_content_mono MeasureTheory.Content.innerContent_mono
theorem innerContent_exists_compact {U : Opens G} (hU : μ.innerContent U ≠ ∞) {ε : ℝ≥0}
(hε : ε ≠ 0) : ∃ K : Compacts G, (K : Set G) ⊆ U ∧ μ.innerContent U ≤ μ K + ε := by
have h'ε := ENNReal.coe_ne_zero.2 hε
rcases le_or_lt (μ.innerContent U) ε with h | h
· exact ⟨⊥, empty_subset _, le_add_left h⟩
have h₂ := ENNReal.sub_lt_self hU h.ne_bot h'ε
conv at h₂ => rhs; rw [innerContent]
simp only [lt_iSup_iff] at h₂
rcases h₂ with ⟨U, h1U, h2U⟩; refine ⟨U, h1U, ?_⟩
rw [← tsub_le_iff_right]; exact le_of_lt h2U
#align measure_theory.content.inner_content_exists_compact MeasureTheory.Content.innerContent_exists_compact
theorem innerContent_iSup_nat [R1Space G] (U : ℕ → Opens G) :
μ.innerContent (⨆ i : ℕ, U i) ≤ ∑' i : ℕ, μ.innerContent (U i) := by
have h3 : ∀ (t : Finset ℕ) (K : ℕ → Compacts G), μ (t.sup K) ≤ t.sum fun i => μ (K i) := by
intro t K
refine Finset.induction_on t ?_ ?_
· simp only [μ.empty, nonpos_iff_eq_zero, Finset.sum_empty, Finset.sup_empty]
· intro n s hn ih
rw [Finset.sup_insert, Finset.sum_insert hn]
exact le_trans (μ.sup_le _ _) (add_le_add_left ih _)
refine iSup₂_le fun K hK => ?_
obtain ⟨t, ht⟩ :=
K.isCompact.elim_finite_subcover _ (fun i => (U i).isOpen) (by rwa [← Opens.coe_iSup])
rcases K.isCompact.finite_compact_cover t (SetLike.coe ∘ U) (fun i _ => (U i).isOpen) ht with
⟨K', h1K', h2K', h3K'⟩
let L : ℕ → Compacts G := fun n => ⟨K' n, h1K' n⟩
convert le_trans (h3 t L) _
· ext1
rw [Compacts.coe_finset_sup, Finset.sup_eq_iSup]
exact h3K'
refine le_trans (Finset.sum_le_sum ?_) (ENNReal.sum_le_tsum t)
intro i _
refine le_trans ?_ (le_iSup _ (L i))
refine le_trans ?_ (le_iSup _ (h2K' i))
rfl
#align measure_theory.content.inner_content_Sup_nat MeasureTheory.Content.innerContent_iSup_nat
theorem innerContent_iUnion_nat [R1Space G] ⦃U : ℕ → Set G⦄
(hU : ∀ i : ℕ, IsOpen (U i)) :
μ.innerContent ⟨⋃ i : ℕ, U i, isOpen_iUnion hU⟩ ≤ ∑' i : ℕ, μ.innerContent ⟨U i, hU i⟩ := by
have := μ.innerContent_iSup_nat fun i => ⟨U i, hU i⟩
rwa [Opens.iSup_def] at this
#align measure_theory.content.inner_content_Union_nat MeasureTheory.Content.innerContent_iUnion_nat
theorem innerContent_comap (f : G ≃ₜ G) (h : ∀ ⦃K : Compacts G⦄, μ (K.map f f.continuous) = μ K)
(U : Opens G) : μ.innerContent (Opens.comap f.toContinuousMap U) = μ.innerContent U := by
refine (Compacts.equiv f).surjective.iSup_congr _ fun K => iSup_congr_Prop image_subset_iff ?_
intro hK
simp only [Equiv.coe_fn_mk, Subtype.mk_eq_mk, Compacts.equiv]
apply h
#align measure_theory.content.inner_content_comap MeasureTheory.Content.innerContent_comap
@[to_additive]
theorem is_mul_left_invariant_innerContent [Group G] [TopologicalGroup G]
(h : ∀ (g : G) {K : Compacts G}, μ (K.map _ <| continuous_mul_left g) = μ K) (g : G)
(U : Opens G) :
μ.innerContent (Opens.comap (Homeomorph.mulLeft g).toContinuousMap U) = μ.innerContent U := by
convert μ.innerContent_comap (Homeomorph.mulLeft g) (fun K => h g) U
#align measure_theory.content.is_mul_left_invariant_inner_content MeasureTheory.Content.is_mul_left_invariant_innerContent
#align measure_theory.content.is_add_left_invariant_inner_content MeasureTheory.Content.is_add_left_invariant_innerContent
@[to_additive]
theorem innerContent_pos_of_is_mul_left_invariant [Group G] [TopologicalGroup G]
(h3 : ∀ (g : G) {K : Compacts G}, μ (K.map _ <| continuous_mul_left g) = μ K) (K : Compacts G)
(hK : μ K ≠ 0) (U : Opens G) (hU : (U : Set G).Nonempty) : 0 < μ.innerContent U := by
have : (interior (U : Set G)).Nonempty := by rwa [U.isOpen.interior_eq]
rcases compact_covered_by_mul_left_translates K.2 this with ⟨s, hs⟩
suffices μ K ≤ s.card * μ.innerContent U by
exact (ENNReal.mul_pos_iff.mp <| hK.bot_lt.trans_le this).2
have : (K : Set G) ⊆ ↑(⨆ g ∈ s, Opens.comap (Homeomorph.mulLeft g).toContinuousMap U) := by
simpa only [Opens.iSup_def, Opens.coe_comap, Subtype.coe_mk]
refine (μ.le_innerContent _ _ this).trans ?_
refine
(rel_iSup_sum μ.innerContent μ.innerContent_bot (· ≤ ·) μ.innerContent_iSup_nat _ _).trans ?_
simp only [μ.is_mul_left_invariant_innerContent h3, Finset.sum_const, nsmul_eq_mul, le_refl]
#align measure_theory.content.inner_content_pos_of_is_mul_left_invariant MeasureTheory.Content.innerContent_pos_of_is_mul_left_invariant
#align measure_theory.content.inner_content_pos_of_is_add_left_invariant MeasureTheory.Content.innerContent_pos_of_is_add_left_invariant
theorem innerContent_mono' ⦃U V : Set G⦄ (hU : IsOpen U) (hV : IsOpen V) (h2 : U ⊆ V) :
μ.innerContent ⟨U, hU⟩ ≤ μ.innerContent ⟨V, hV⟩ :=
biSup_mono fun _ hK => hK.trans h2
#align measure_theory.content.inner_content_mono' MeasureTheory.Content.innerContent_mono'
section OuterMeasure
protected def outerMeasure : OuterMeasure G :=
inducedOuterMeasure (fun U hU => μ.innerContent ⟨U, hU⟩) isOpen_empty μ.innerContent_bot
#align measure_theory.content.outer_measure MeasureTheory.Content.outerMeasure
variable [R1Space G]
theorem outerMeasure_opens (U : Opens G) : μ.outerMeasure U = μ.innerContent U :=
inducedOuterMeasure_eq' (fun _ => isOpen_iUnion) μ.innerContent_iUnion_nat μ.innerContent_mono U.2
#align measure_theory.content.outer_measure_opens MeasureTheory.Content.outerMeasure_opens
theorem outerMeasure_of_isOpen (U : Set G) (hU : IsOpen U) :
μ.outerMeasure U = μ.innerContent ⟨U, hU⟩ :=
μ.outerMeasure_opens ⟨U, hU⟩
#align measure_theory.content.outer_measure_of_is_open MeasureTheory.Content.outerMeasure_of_isOpen
theorem outerMeasure_le (U : Opens G) (K : Compacts G) (hUK : (U : Set G) ⊆ K) :
μ.outerMeasure U ≤ μ K :=
(μ.outerMeasure_opens U).le.trans <| μ.innerContent_le U K hUK
#align measure_theory.content.outer_measure_le MeasureTheory.Content.outerMeasure_le
theorem le_outerMeasure_compacts (K : Compacts G) : μ K ≤ μ.outerMeasure K := by
rw [Content.outerMeasure, inducedOuterMeasure_eq_iInf]
· exact le_iInf fun U => le_iInf fun hU => le_iInf <| μ.le_innerContent K ⟨U, hU⟩
· exact fun U hU => isOpen_iUnion hU
· exact μ.innerContent_iUnion_nat
· exact μ.innerContent_mono
#align measure_theory.content.le_outer_measure_compacts MeasureTheory.Content.le_outerMeasure_compacts
theorem outerMeasure_eq_iInf (A : Set G) :
μ.outerMeasure A = ⨅ (U : Set G) (hU : IsOpen U) (_ : A ⊆ U), μ.innerContent ⟨U, hU⟩ :=
inducedOuterMeasure_eq_iInf _ μ.innerContent_iUnion_nat μ.innerContent_mono A
#align measure_theory.content.outer_measure_eq_infi MeasureTheory.Content.outerMeasure_eq_iInf
theorem outerMeasure_interior_compacts (K : Compacts G) : μ.outerMeasure (interior K) ≤ μ K :=
(μ.outerMeasure_opens <| Opens.interior K).le.trans <| μ.innerContent_le _ _ interior_subset
#align measure_theory.content.outer_measure_interior_compacts MeasureTheory.Content.outerMeasure_interior_compacts
theorem outerMeasure_exists_compact {U : Opens G} (hU : μ.outerMeasure U ≠ ∞) {ε : ℝ≥0}
(hε : ε ≠ 0) : ∃ K : Compacts G, (K : Set G) ⊆ U ∧ μ.outerMeasure U ≤ μ.outerMeasure K + ε := by
rw [μ.outerMeasure_opens] at hU ⊢
rcases μ.innerContent_exists_compact hU hε with ⟨K, h1K, h2K⟩
exact ⟨K, h1K, le_trans h2K <| add_le_add_right (μ.le_outerMeasure_compacts K) _⟩
#align measure_theory.content.outer_measure_exists_compact MeasureTheory.Content.outerMeasure_exists_compact
theorem outerMeasure_exists_open {A : Set G} (hA : μ.outerMeasure A ≠ ∞) {ε : ℝ≥0} (hε : ε ≠ 0) :
∃ U : Opens G, A ⊆ U ∧ μ.outerMeasure U ≤ μ.outerMeasure A + ε := by
rcases inducedOuterMeasure_exists_set _ μ.innerContent_iUnion_nat μ.innerContent_mono hA
(ENNReal.coe_ne_zero.2 hε) with
⟨U, hU, h2U, h3U⟩
exact ⟨⟨U, hU⟩, h2U, h3U⟩
#align measure_theory.content.outer_measure_exists_open MeasureTheory.Content.outerMeasure_exists_open
theorem outerMeasure_preimage (f : G ≃ₜ G) (h : ∀ ⦃K : Compacts G⦄, μ (K.map f f.continuous) = μ K)
(A : Set G) : μ.outerMeasure (f ⁻¹' A) = μ.outerMeasure A := by
refine inducedOuterMeasure_preimage _ μ.innerContent_iUnion_nat μ.innerContent_mono _
(fun _ => f.isOpen_preimage) ?_
intro s hs
convert μ.innerContent_comap f h ⟨s, hs⟩
#align measure_theory.content.outer_measure_preimage MeasureTheory.Content.outerMeasure_preimage
| Mathlib/MeasureTheory/Measure/Content.lean | 312 | 320 | theorem outerMeasure_lt_top_of_isCompact [WeaklyLocallyCompactSpace G]
{K : Set G} (hK : IsCompact K) :
μ.outerMeasure K < ∞ := by |
rcases exists_compact_superset hK with ⟨F, h1F, h2F⟩
calc
μ.outerMeasure K ≤ μ.outerMeasure (interior F) := measure_mono h2F
_ ≤ μ ⟨F, h1F⟩ := by
apply μ.outerMeasure_le ⟨interior F, isOpen_interior⟩ ⟨F, h1F⟩ interior_subset
_ < ⊤ := μ.lt_top _
|
import Mathlib.Data.Finsupp.Defs
#align_import data.list.to_finsupp from "leanprover-community/mathlib"@"06a655b5fcfbda03502f9158bbf6c0f1400886f9"
namespace List
variable {M : Type*} [Zero M] (l : List M) [DecidablePred (getD l · 0 ≠ 0)] (n : ℕ)
def toFinsupp : ℕ →₀ M where
toFun i := getD l i 0
support := (Finset.range l.length).filter fun i => getD l i 0 ≠ 0
mem_support_toFun n := by
simp only [Ne, Finset.mem_filter, Finset.mem_range, and_iff_right_iff_imp]
contrapose!
exact getD_eq_default _ _
#align list.to_finsupp List.toFinsupp
@[norm_cast]
theorem coe_toFinsupp : (l.toFinsupp : ℕ → M) = (l.getD · 0) :=
rfl
#align list.coe_to_finsupp List.coe_toFinsupp
@[simp, norm_cast]
theorem toFinsupp_apply (i : ℕ) : (l.toFinsupp : ℕ → M) i = l.getD i 0 :=
rfl
#align list.to_finsupp_apply List.toFinsupp_apply
theorem toFinsupp_support :
l.toFinsupp.support = (Finset.range l.length).filter (getD l · 0 ≠ 0) :=
rfl
#align list.to_finsupp_support List.toFinsupp_support
theorem toFinsupp_apply_lt (hn : n < l.length) : l.toFinsupp n = l.get ⟨n, hn⟩ :=
getD_eq_get _ _ _
theorem toFinsupp_apply_fin (n : Fin l.length) : l.toFinsupp n = l.get n :=
getD_eq_get _ _ _
set_option linter.deprecated false in
@[deprecated (since := "2023-04-10")]
theorem toFinsupp_apply_lt' (hn : n < l.length) : l.toFinsupp n = l.nthLe n hn :=
getD_eq_get _ _ _
#align list.to_finsupp_apply_lt List.toFinsupp_apply_lt'
theorem toFinsupp_apply_le (hn : l.length ≤ n) : l.toFinsupp n = 0 :=
getD_eq_default _ _ hn
#align list.to_finsupp_apply_le List.toFinsupp_apply_le
@[simp]
theorem toFinsupp_nil [DecidablePred fun i => getD ([] : List M) i 0 ≠ 0] :
toFinsupp ([] : List M) = 0 := by
ext
simp
#align list.to_finsupp_nil List.toFinsupp_nil
theorem toFinsupp_singleton (x : M) [DecidablePred (getD [x] · 0 ≠ 0)] :
toFinsupp [x] = Finsupp.single 0 x := by
ext ⟨_ | i⟩ <;> simp [Finsupp.single_apply, (Nat.zero_lt_succ _).ne]
#align list.to_finsupp_singleton List.toFinsupp_singleton
@[simp]
theorem toFinsupp_cons_apply_zero (x : M) (xs : List M)
[DecidablePred (getD (x::xs) · 0 ≠ 0)] : (x::xs).toFinsupp 0 = x :=
rfl
#align list.to_finsupp_cons_apply_zero List.toFinsupp_cons_apply_zero
@[simp]
theorem toFinsupp_cons_apply_succ (x : M) (xs : List M) (n : ℕ)
[DecidablePred (getD (x::xs) · 0 ≠ 0)] [DecidablePred (getD xs · 0 ≠ 0)] :
(x::xs).toFinsupp n.succ = xs.toFinsupp n :=
rfl
#align list.to_finsupp_cons_apply_succ List.toFinsupp_cons_apply_succ
-- Porting note (#10756): new theorem
theorem toFinsupp_append {R : Type*} [AddZeroClass R] (l₁ l₂ : List R)
[DecidablePred (getD (l₁ ++ l₂) · 0 ≠ 0)] [DecidablePred (getD l₁ · 0 ≠ 0)]
[DecidablePred (getD l₂ · 0 ≠ 0)] :
toFinsupp (l₁ ++ l₂) =
toFinsupp l₁ + (toFinsupp l₂).embDomain (addLeftEmbedding l₁.length) := by
ext n
simp only [toFinsupp_apply, Finsupp.add_apply]
cases lt_or_le n l₁.length with
| inl h =>
rw [getD_append _ _ _ _ h, Finsupp.embDomain_notin_range, add_zero]
rintro ⟨k, rfl : length l₁ + k = n⟩
omega
| inr h =>
rcases Nat.exists_eq_add_of_le h with ⟨k, rfl⟩
rw [getD_append_right _ _ _ _ h, Nat.add_sub_cancel_left, getD_eq_default _ _ h, zero_add]
exact Eq.symm (Finsupp.embDomain_apply _ _ _)
theorem toFinsupp_cons_eq_single_add_embDomain {R : Type*} [AddZeroClass R] (x : R) (xs : List R)
[DecidablePred (getD (x::xs) · 0 ≠ 0)] [DecidablePred (getD xs · 0 ≠ 0)] :
toFinsupp (x::xs) =
Finsupp.single 0 x + (toFinsupp xs).embDomain ⟨Nat.succ, Nat.succ_injective⟩ := by
classical
convert toFinsupp_append [x] xs using 3
· exact (toFinsupp_singleton x).symm
· ext n
exact add_comm n 1
#align list.to_finsupp_cons_eq_single_add_emb_domain List.toFinsupp_cons_eq_single_add_embDomain
theorem toFinsupp_concat_eq_toFinsupp_add_single {R : Type*} [AddZeroClass R] (x : R) (xs : List R)
[DecidablePred fun i => getD (xs ++ [x]) i 0 ≠ 0] [DecidablePred fun i => getD xs i 0 ≠ 0] :
toFinsupp (xs ++ [x]) = toFinsupp xs + Finsupp.single xs.length x := by
classical rw [toFinsupp_append, toFinsupp_singleton, Finsupp.embDomain_single,
addLeftEmbedding_apply, add_zero]
#align list.to_finsupp_concat_eq_to_finsupp_add_single List.toFinsupp_concat_eq_toFinsupp_add_single
| Mathlib/Data/List/ToFinsupp.lean | 147 | 156 | theorem toFinsupp_eq_sum_map_enum_single {R : Type*} [AddMonoid R] (l : List R)
[DecidablePred (getD l · 0 ≠ 0)] :
toFinsupp l = (l.enum.map fun nr : ℕ × R => Finsupp.single nr.1 nr.2).sum := by |
/- Porting note (#11215): TODO: `induction` fails to substitute `l = []` in
`[DecidablePred (getD l · 0 ≠ 0)]`, so we manually do some `revert`/`intro` as a workaround -/
revert l; intro l
induction l using List.reverseRecOn with
| nil => exact toFinsupp_nil
| append_singleton x xs ih =>
classical simp [toFinsupp_concat_eq_toFinsupp_add_single, enum_append, ih]
|
import Mathlib.Algebra.Module.Submodule.Basic
import Mathlib.Analysis.Complex.UpperHalfPlane.Basic
import Mathlib.Order.Filter.ZeroAndBoundedAtFilter
#align_import analysis.complex.upper_half_plane.functions_bounded_at_infty from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Complex Filter
open scoped Topology UpperHalfPlane
noncomputable section
namespace UpperHalfPlane
def atImInfty :=
Filter.atTop.comap UpperHalfPlane.im
#align upper_half_plane.at_im_infty UpperHalfPlane.atImInfty
theorem atImInfty_basis : atImInfty.HasBasis (fun _ => True) fun i : ℝ => im ⁻¹' Set.Ici i :=
Filter.HasBasis.comap UpperHalfPlane.im Filter.atTop_basis
#align upper_half_plane.at_im_infty_basis UpperHalfPlane.atImInfty_basis
| Mathlib/Analysis/Complex/UpperHalfPlane/FunctionsBoundedAtInfty.lean | 37 | 38 | theorem atImInfty_mem (S : Set ℍ) : S ∈ atImInfty ↔ ∃ A : ℝ, ∀ z : ℍ, A ≤ im z → z ∈ S := by |
simp only [atImInfty_basis.mem_iff, true_and]; rfl
|
import Mathlib.Algebra.Algebra.Spectrum
import Mathlib.LinearAlgebra.GeneralLinearGroup
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.RingTheory.Nilpotent.Basic
#align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
universe u v w
namespace Module
namespace End
open FiniteDimensional Set
variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K]
[AddCommGroup V] [Module K V]
def eigenspace (f : End R M) (μ : R) : Submodule R M :=
LinearMap.ker (f - algebraMap R (End R M) μ)
#align module.End.eigenspace Module.End.eigenspace
@[simp]
theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace]
#align module.End.eigenspace_zero Module.End.eigenspace_zero
def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop :=
x ∈ eigenspace f μ ∧ x ≠ 0
#align module.End.has_eigenvector Module.End.HasEigenvector
def HasEigenvalue (f : End R M) (a : R) : Prop :=
eigenspace f a ≠ ⊥
#align module.End.has_eigenvalue Module.End.HasEigenvalue
def Eigenvalues (f : End R M) : Type _ :=
{ μ : R // f.HasEigenvalue μ }
#align module.End.eigenvalues Module.End.Eigenvalues
@[coe]
def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val
instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where
coe := Eigenvalues.val f
instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) :
DecidableEq (Eigenvalues f) :=
inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x)))
theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) :
HasEigenvalue f μ := by
rw [HasEigenvalue, Submodule.ne_bot_iff]
use x; exact h
#align module.End.has_eigenvalue_of_has_eigenvector Module.End.hasEigenvalue_of_hasEigenvector
theorem mem_eigenspace_iff {f : End R M} {μ : R} {x : M} : x ∈ eigenspace f μ ↔ f x = μ • x := by
rw [eigenspace, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply, sub_eq_zero]
#align module.End.mem_eigenspace_iff Module.End.mem_eigenspace_iff
theorem HasEigenvector.apply_eq_smul {f : End R M} {μ : R} {x : M} (hx : f.HasEigenvector μ x) :
f x = μ • x :=
mem_eigenspace_iff.mp hx.1
#align module.End.has_eigenvector.apply_eq_smul Module.End.HasEigenvector.apply_eq_smul
| Mathlib/LinearAlgebra/Eigenspace/Basic.lean | 113 | 115 | theorem HasEigenvector.pow_apply {f : End R M} {μ : R} {v : M} (hv : f.HasEigenvector μ v) (n : ℕ) :
(f ^ n) v = μ ^ n • v := by |
induction n <;> simp [*, pow_succ f, hv.apply_eq_smul, smul_smul, pow_succ' μ]
|
import Mathlib.Analysis.Calculus.FDeriv.Measurable
import Mathlib.Analysis.Calculus.Deriv.Comp
import Mathlib.Analysis.Calculus.Deriv.Add
import Mathlib.Analysis.Calculus.Deriv.Slope
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.NormedSpace.Dual
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.VitaliCaratheodory
#align_import measure_theory.integral.fund_thm_calculus from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
set_option autoImplicit true
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] [NormedSpace ℝ E]
namespace intervalIntegral
section FTC1
class FTCFilter (a : outParam ℝ) (outer : Filter ℝ) (inner : outParam <| Filter ℝ) extends
TendstoIxxClass Ioc outer inner : Prop where
pure_le : pure a ≤ outer
le_nhds : inner ≤ 𝓝 a
[meas_gen : IsMeasurablyGenerated inner]
set_option linter.uppercaseLean3 false in
#align interval_integral.FTC_filter intervalIntegral.FTCFilter
variable {f : ℝ → E} {g' g φ : ℝ → ℝ}
theorem sub_le_integral_of_hasDeriv_right_of_le_Ico (hab : a ≤ b)
(hcont : ContinuousOn g (Icc a b)) (hderiv : ∀ x ∈ Ico a b, HasDerivWithinAt g (g' x) (Ioi x) x)
(φint : IntegrableOn φ (Icc a b)) (hφg : ∀ x ∈ Ico a b, g' x ≤ φ x) :
g b - g a ≤ ∫ y in a..b, φ y := by
refine le_of_forall_pos_le_add fun ε εpos => ?_
-- Bound from above `g'` by a lower-semicontinuous function `G'`.
rcases exists_lt_lowerSemicontinuous_integral_lt φ φint εpos with
⟨G', f_lt_G', G'cont, G'int, G'lt_top, hG'⟩
-- we will show by "induction" that `g t - g a ≤ ∫ u in a..t, G' u` for all `t ∈ [a, b]`.
set s := {t | g t - g a ≤ ∫ u in a..t, (G' u).toReal} ∩ Icc a b
-- the set `s` of points where this property holds is closed.
have s_closed : IsClosed s := by
have : ContinuousOn (fun t => (g t - g a, ∫ u in a..t, (G' u).toReal)) (Icc a b) := by
rw [← uIcc_of_le hab] at G'int hcont ⊢
exact (hcont.sub continuousOn_const).prod (continuousOn_primitive_interval G'int)
simp only [s, inter_comm]
exact this.preimage_isClosed_of_isClosed isClosed_Icc OrderClosedTopology.isClosed_le'
have main : Icc a b ⊆ {t | g t - g a ≤ ∫ u in a..t, (G' u).toReal} := by
-- to show that the set `s` is all `[a, b]`, it suffices to show that any point `t` in `s`
-- with `t < b` admits another point in `s` slightly to its right
-- (this is a sort of real induction).
refine s_closed.Icc_subset_of_forall_exists_gt
(by simp only [integral_same, mem_setOf_eq, sub_self, le_rfl]) fun t ht v t_lt_v => ?_
obtain ⟨y, g'_lt_y', y_lt_G'⟩ : ∃ y : ℝ, (g' t : EReal) < y ∧ (y : EReal) < G' t :=
EReal.lt_iff_exists_real_btwn.1 ((EReal.coe_le_coe_iff.2 (hφg t ht.2)).trans_lt (f_lt_G' t))
-- bound from below the increase of `∫ x in a..u, G' x` on the right of `t`, using the lower
-- semicontinuity of `G'`.
have I1 : ∀ᶠ u in 𝓝[>] t, (u - t) * y ≤ ∫ w in t..u, (G' w).toReal := by
have B : ∀ᶠ u in 𝓝 t, (y : EReal) < G' u := G'cont.lowerSemicontinuousAt _ _ y_lt_G'
rcases mem_nhds_iff_exists_Ioo_subset.1 B with ⟨m, M, ⟨hm, hM⟩, H⟩
have : Ioo t (min M b) ∈ 𝓝[>] t := Ioo_mem_nhdsWithin_Ioi' (lt_min hM ht.right.right)
filter_upwards [this] with u hu
have I : Icc t u ⊆ Icc a b := Icc_subset_Icc ht.2.1 (hu.2.le.trans (min_le_right _ _))
calc
(u - t) * y = ∫ _ in Icc t u, y := by
simp only [hu.left.le, MeasureTheory.integral_const, Algebra.id.smul_eq_mul, sub_nonneg,
MeasurableSet.univ, Real.volume_Icc, Measure.restrict_apply, univ_inter,
ENNReal.toReal_ofReal]
_ ≤ ∫ w in t..u, (G' w).toReal := by
rw [intervalIntegral.integral_of_le hu.1.le, ← integral_Icc_eq_integral_Ioc]
apply setIntegral_mono_ae_restrict
· simp only [integrableOn_const, Real.volume_Icc, ENNReal.ofReal_lt_top, or_true_iff]
· exact IntegrableOn.mono_set G'int I
· have C1 : ∀ᵐ x : ℝ ∂volume.restrict (Icc t u), G' x < ∞ :=
ae_mono (Measure.restrict_mono I le_rfl) G'lt_top
have C2 : ∀ᵐ x : ℝ ∂volume.restrict (Icc t u), x ∈ Icc t u :=
ae_restrict_mem measurableSet_Icc
filter_upwards [C1, C2] with x G'x hx
apply EReal.coe_le_coe_iff.1
have : x ∈ Ioo m M := by
simp only [hm.trans_le hx.left,
(hx.right.trans_lt hu.right).trans_le (min_le_left M b), mem_Ioo, and_self_iff]
refine (H this).out.le.trans_eq ?_
exact (EReal.coe_toReal G'x.ne (f_lt_G' x).ne_bot).symm
-- bound from above the increase of `g u - g a` on the right of `t`, using the derivative at `t`
have I2 : ∀ᶠ u in 𝓝[>] t, g u - g t ≤ (u - t) * y := by
have g'_lt_y : g' t < y := EReal.coe_lt_coe_iff.1 g'_lt_y'
filter_upwards [(hderiv t ⟨ht.2.1, ht.2.2⟩).limsup_slope_le' (not_mem_Ioi.2 le_rfl) g'_lt_y,
self_mem_nhdsWithin] with u hu t_lt_u
have := mul_le_mul_of_nonneg_left hu.le (sub_pos.2 t_lt_u.out).le
rwa [← smul_eq_mul, sub_smul_slope] at this
-- combine the previous two bounds to show that `g u - g a` increases less quickly than
-- `∫ x in a..u, G' x`.
have I3 : ∀ᶠ u in 𝓝[>] t, g u - g t ≤ ∫ w in t..u, (G' w).toReal := by
filter_upwards [I1, I2] with u hu1 hu2 using hu2.trans hu1
have I4 : ∀ᶠ u in 𝓝[>] t, u ∈ Ioc t (min v b) := by
refine mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.2 ⟨min v b, ?_, Subset.rfl⟩
simp only [lt_min_iff, mem_Ioi]
exact ⟨t_lt_v, ht.2.2⟩
-- choose a point `x` slightly to the right of `t` which satisfies the above bound
rcases (I3.and I4).exists with ⟨x, hx, h'x⟩
-- we check that it belongs to `s`, essentially by construction
refine ⟨x, ?_, Ioc_subset_Ioc le_rfl (min_le_left _ _) h'x⟩
calc
g x - g a = g t - g a + (g x - g t) := by abel
_ ≤ (∫ w in a..t, (G' w).toReal) + ∫ w in t..x, (G' w).toReal := add_le_add ht.1 hx
_ = ∫ w in a..x, (G' w).toReal := by
apply integral_add_adjacent_intervals
· rw [intervalIntegrable_iff_integrableOn_Ioc_of_le ht.2.1]
exact IntegrableOn.mono_set G'int
(Ioc_subset_Icc_self.trans (Icc_subset_Icc le_rfl ht.2.2.le))
· rw [intervalIntegrable_iff_integrableOn_Ioc_of_le h'x.1.le]
apply IntegrableOn.mono_set G'int
exact Ioc_subset_Icc_self.trans (Icc_subset_Icc ht.2.1 (h'x.2.trans (min_le_right _ _)))
-- now that we know that `s` contains `[a, b]`, we get the desired result by applying this to `b`.
calc
g b - g a ≤ ∫ y in a..b, (G' y).toReal := main (right_mem_Icc.2 hab)
_ ≤ (∫ y in a..b, φ y) + ε := by
convert hG'.le <;>
· rw [intervalIntegral.integral_of_le hab]
simp only [integral_Icc_eq_integral_Ioc', Real.volume_singleton]
#align interval_integral.sub_le_integral_of_has_deriv_right_of_le_Ico intervalIntegral.sub_le_integral_of_hasDeriv_right_of_le_Ico
-- Porting note: Lean was adding `lb`/`lb'` to the arguments of this theorem, so I enclosed FTC-1
-- into a `section`
theorem sub_le_integral_of_hasDeriv_right_of_le (hab : a ≤ b) (hcont : ContinuousOn g (Icc a b))
(hderiv : ∀ x ∈ Ioo a b, HasDerivWithinAt g (g' x) (Ioi x) x) (φint : IntegrableOn φ (Icc a b))
(hφg : ∀ x ∈ Ioo a b, g' x ≤ φ x) : g b - g a ≤ ∫ y in a..b, φ y := by
-- This follows from the version on a closed-open interval (applied to `[t, b)` for `t` close to
-- `a`) and a continuity argument.
obtain rfl | a_lt_b := hab.eq_or_lt
· simp
set s := {t | g b - g t ≤ ∫ u in t..b, φ u} ∩ Icc a b
have s_closed : IsClosed s := by
have : ContinuousOn (fun t => (g b - g t, ∫ u in t..b, φ u)) (Icc a b) := by
rw [← uIcc_of_le hab] at hcont φint ⊢
exact (continuousOn_const.sub hcont).prod (continuousOn_primitive_interval_left φint)
simp only [s, inter_comm]
exact this.preimage_isClosed_of_isClosed isClosed_Icc isClosed_le_prod
have A : closure (Ioc a b) ⊆ s := by
apply s_closed.closure_subset_iff.2
intro t ht
refine ⟨?_, ⟨ht.1.le, ht.2⟩⟩
exact
sub_le_integral_of_hasDeriv_right_of_le_Ico ht.2 (hcont.mono (Icc_subset_Icc ht.1.le le_rfl))
(fun x hx => hderiv x ⟨ht.1.trans_le hx.1, hx.2⟩)
(φint.mono_set (Icc_subset_Icc ht.1.le le_rfl)) fun x hx => hφg x ⟨ht.1.trans_le hx.1, hx.2⟩
rw [closure_Ioc a_lt_b.ne] at A
exact (A (left_mem_Icc.2 hab)).1
#align interval_integral.sub_le_integral_of_has_deriv_right_of_le intervalIntegral.sub_le_integral_of_hasDeriv_right_of_le
theorem integral_le_sub_of_hasDeriv_right_of_le (hab : a ≤ b) (hcont : ContinuousOn g (Icc a b))
(hderiv : ∀ x ∈ Ioo a b, HasDerivWithinAt g (g' x) (Ioi x) x) (φint : IntegrableOn φ (Icc a b))
(hφg : ∀ x ∈ Ioo a b, φ x ≤ g' x) : (∫ y in a..b, φ y) ≤ g b - g a := by
rw [← neg_le_neg_iff]
convert sub_le_integral_of_hasDeriv_right_of_le hab hcont.neg (fun x hx => (hderiv x hx).neg)
φint.neg fun x hx => neg_le_neg (hφg x hx) using 1
· abel
· simp only [← integral_neg]; rfl
#align interval_integral.integral_le_sub_of_has_deriv_right_of_le intervalIntegral.integral_le_sub_of_hasDeriv_right_of_le
theorem integral_eq_sub_of_hasDeriv_right_of_le_real (hab : a ≤ b)
(hcont : ContinuousOn g (Icc a b)) (hderiv : ∀ x ∈ Ioo a b, HasDerivWithinAt g (g' x) (Ioi x) x)
(g'int : IntegrableOn g' (Icc a b)) : ∫ y in a..b, g' y = g b - g a :=
le_antisymm (integral_le_sub_of_hasDeriv_right_of_le hab hcont hderiv g'int fun _ _ => le_rfl)
(sub_le_integral_of_hasDeriv_right_of_le hab hcont hderiv g'int fun _ _ => le_rfl)
#align interval_integral.integral_eq_sub_of_has_deriv_right_of_le_real intervalIntegral.integral_eq_sub_of_hasDeriv_right_of_le_real
variable [CompleteSpace E] {f f' : ℝ → E}
| Mathlib/MeasureTheory/Integral/FundThmCalculus.lean | 1,175 | 1,182 | theorem integral_eq_sub_of_hasDeriv_right_of_le (hab : a ≤ b) (hcont : ContinuousOn f (Icc a b))
(hderiv : ∀ x ∈ Ioo a b, HasDerivWithinAt f (f' x) (Ioi x) x)
(f'int : IntervalIntegrable f' volume a b) : ∫ y in a..b, f' y = f b - f a := by |
refine (NormedSpace.eq_iff_forall_dual_eq ℝ).2 fun g => ?_
rw [← g.intervalIntegral_comp_comm f'int, g.map_sub]
exact integral_eq_sub_of_hasDeriv_right_of_le_real hab (g.continuous.comp_continuousOn hcont)
(fun x hx => g.hasFDerivAt.comp_hasDerivWithinAt x (hderiv x hx))
(g.integrable_comp ((intervalIntegrable_iff_integrableOn_Icc_of_le hab).1 f'int))
|
import Mathlib.Data.List.Range
import Mathlib.Data.List.Perm
#align_import data.list.sigma from "leanprover-community/mathlib"@"f808feb6c18afddb25e66a71d317643cf7fb5fbb"
universe u v
namespace List
variable {α : Type u} {β : α → Type v} {l l₁ l₂ : List (Sigma β)}
def keys : List (Sigma β) → List α :=
map Sigma.fst
#align list.keys List.keys
@[simp]
theorem keys_nil : @keys α β [] = [] :=
rfl
#align list.keys_nil List.keys_nil
@[simp]
theorem keys_cons {s} {l : List (Sigma β)} : (s :: l).keys = s.1 :: l.keys :=
rfl
#align list.keys_cons List.keys_cons
theorem mem_keys_of_mem {s : Sigma β} {l : List (Sigma β)} : s ∈ l → s.1 ∈ l.keys :=
mem_map_of_mem Sigma.fst
#align list.mem_keys_of_mem List.mem_keys_of_mem
theorem exists_of_mem_keys {a} {l : List (Sigma β)} (h : a ∈ l.keys) :
∃ b : β a, Sigma.mk a b ∈ l :=
let ⟨⟨_, b'⟩, m, e⟩ := exists_of_mem_map h
Eq.recOn e (Exists.intro b' m)
#align list.exists_of_mem_keys List.exists_of_mem_keys
theorem mem_keys {a} {l : List (Sigma β)} : a ∈ l.keys ↔ ∃ b : β a, Sigma.mk a b ∈ l :=
⟨exists_of_mem_keys, fun ⟨_, h⟩ => mem_keys_of_mem h⟩
#align list.mem_keys List.mem_keys
theorem not_mem_keys {a} {l : List (Sigma β)} : a ∉ l.keys ↔ ∀ b : β a, Sigma.mk a b ∉ l :=
(not_congr mem_keys).trans not_exists
#align list.not_mem_keys List.not_mem_keys
theorem not_eq_key {a} {l : List (Sigma β)} : a ∉ l.keys ↔ ∀ s : Sigma β, s ∈ l → a ≠ s.1 :=
Iff.intro (fun h₁ s h₂ e => absurd (mem_keys_of_mem h₂) (by rwa [e] at h₁)) fun f h₁ =>
let ⟨b, h₂⟩ := exists_of_mem_keys h₁
f _ h₂ rfl
#align list.not_eq_key List.not_eq_key
def NodupKeys (l : List (Sigma β)) : Prop :=
l.keys.Nodup
#align list.nodupkeys List.NodupKeys
theorem nodupKeys_iff_pairwise {l} : NodupKeys l ↔ Pairwise (fun s s' : Sigma β => s.1 ≠ s'.1) l :=
pairwise_map
#align list.nodupkeys_iff_pairwise List.nodupKeys_iff_pairwise
theorem NodupKeys.pairwise_ne {l} (h : NodupKeys l) :
Pairwise (fun s s' : Sigma β => s.1 ≠ s'.1) l :=
nodupKeys_iff_pairwise.1 h
#align list.nodupkeys.pairwise_ne List.NodupKeys.pairwise_ne
@[simp]
theorem nodupKeys_nil : @NodupKeys α β [] :=
Pairwise.nil
#align list.nodupkeys_nil List.nodupKeys_nil
@[simp]
theorem nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} :
NodupKeys (s :: l) ↔ s.1 ∉ l.keys ∧ NodupKeys l := by simp [keys, NodupKeys]
#align list.nodupkeys_cons List.nodupKeys_cons
theorem not_mem_keys_of_nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} (h : NodupKeys (s :: l)) :
s.1 ∉ l.keys :=
(nodupKeys_cons.1 h).1
#align list.not_mem_keys_of_nodupkeys_cons List.not_mem_keys_of_nodupKeys_cons
theorem nodupKeys_of_nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} (h : NodupKeys (s :: l)) :
NodupKeys l :=
(nodupKeys_cons.1 h).2
#align list.nodupkeys_of_nodupkeys_cons List.nodupKeys_of_nodupKeys_cons
theorem NodupKeys.eq_of_fst_eq {l : List (Sigma β)} (nd : NodupKeys l) {s s' : Sigma β} (h : s ∈ l)
(h' : s' ∈ l) : s.1 = s'.1 → s = s' :=
@Pairwise.forall_of_forall _ (fun s s' : Sigma β => s.1 = s'.1 → s = s') _
(fun _ _ H h => (H h.symm).symm) (fun _ _ _ => rfl)
((nodupKeys_iff_pairwise.1 nd).imp fun h h' => (h h').elim) _ h _ h'
#align list.nodupkeys.eq_of_fst_eq List.NodupKeys.eq_of_fst_eq
theorem NodupKeys.eq_of_mk_mem {a : α} {b b' : β a} {l : List (Sigma β)} (nd : NodupKeys l)
(h : Sigma.mk a b ∈ l) (h' : Sigma.mk a b' ∈ l) : b = b' := by
cases nd.eq_of_fst_eq h h' rfl; rfl
#align list.nodupkeys.eq_of_mk_mem List.NodupKeys.eq_of_mk_mem
theorem nodupKeys_singleton (s : Sigma β) : NodupKeys [s] :=
nodup_singleton _
#align list.nodupkeys_singleton List.nodupKeys_singleton
theorem NodupKeys.sublist {l₁ l₂ : List (Sigma β)} (h : l₁ <+ l₂) : NodupKeys l₂ → NodupKeys l₁ :=
Nodup.sublist <| h.map _
#align list.nodupkeys.sublist List.NodupKeys.sublist
protected theorem NodupKeys.nodup {l : List (Sigma β)} : NodupKeys l → Nodup l :=
Nodup.of_map _
#align list.nodupkeys.nodup List.NodupKeys.nodup
theorem perm_nodupKeys {l₁ l₂ : List (Sigma β)} (h : l₁ ~ l₂) : NodupKeys l₁ ↔ NodupKeys l₂ :=
(h.map _).nodup_iff
#align list.perm_nodupkeys List.perm_nodupKeys
theorem nodupKeys_join {L : List (List (Sigma β))} :
NodupKeys (join L) ↔ (∀ l ∈ L, NodupKeys l) ∧ Pairwise Disjoint (L.map keys) := by
rw [nodupKeys_iff_pairwise, pairwise_join, pairwise_map]
refine and_congr (forall₂_congr fun l _ => by simp [nodupKeys_iff_pairwise]) ?_
apply iff_of_eq; congr with (l₁ l₂)
simp [keys, disjoint_iff_ne]
#align list.nodupkeys_join List.nodupKeys_join
theorem nodup_enum_map_fst (l : List α) : (l.enum.map Prod.fst).Nodup := by simp [List.nodup_range]
#align list.nodup_enum_map_fst List.nodup_enum_map_fst
theorem mem_ext {l₀ l₁ : List (Sigma β)} (nd₀ : l₀.Nodup) (nd₁ : l₁.Nodup)
(h : ∀ x, x ∈ l₀ ↔ x ∈ l₁) : l₀ ~ l₁ :=
(perm_ext_iff_of_nodup nd₀ nd₁).2 h
#align list.mem_ext List.mem_ext
variable [DecidableEq α]
-- Porting note: renaming to `dlookup` since `lookup` already exists
def dlookup (a : α) : List (Sigma β) → Option (β a)
| [] => none
| ⟨a', b⟩ :: l => if h : a' = a then some (Eq.recOn h b) else dlookup a l
#align list.lookup List.dlookup
@[simp]
theorem dlookup_nil (a : α) : dlookup a [] = @none (β a) :=
rfl
#align list.lookup_nil List.dlookup_nil
@[simp]
theorem dlookup_cons_eq (l) (a : α) (b : β a) : dlookup a (⟨a, b⟩ :: l) = some b :=
dif_pos rfl
#align list.lookup_cons_eq List.dlookup_cons_eq
@[simp]
theorem dlookup_cons_ne (l) {a} : ∀ s : Sigma β, a ≠ s.1 → dlookup a (s :: l) = dlookup a l
| ⟨_, _⟩, h => dif_neg h.symm
#align list.lookup_cons_ne List.dlookup_cons_ne
theorem dlookup_isSome {a : α} : ∀ {l : List (Sigma β)}, (dlookup a l).isSome ↔ a ∈ l.keys
| [] => by simp
| ⟨a', b⟩ :: l => by
by_cases h : a = a'
· subst a'
simp
· simp [h, dlookup_isSome]
#align list.lookup_is_some List.dlookup_isSome
theorem dlookup_eq_none {a : α} {l : List (Sigma β)} : dlookup a l = none ↔ a ∉ l.keys := by
simp [← dlookup_isSome, Option.isNone_iff_eq_none]
#align list.lookup_eq_none List.dlookup_eq_none
theorem of_mem_dlookup {a : α} {b : β a} :
∀ {l : List (Sigma β)}, b ∈ dlookup a l → Sigma.mk a b ∈ l
| ⟨a', b'⟩ :: l, H => by
by_cases h : a = a'
· subst a'
simp? at H says simp only [dlookup_cons_eq, Option.mem_def, Option.some.injEq] at H
simp [H]
· simp only [ne_eq, h, not_false_iff, dlookup_cons_ne] at H
simp [of_mem_dlookup H]
#align list.of_mem_lookup List.of_mem_dlookup
theorem mem_dlookup {a} {b : β a} {l : List (Sigma β)} (nd : l.NodupKeys) (h : Sigma.mk a b ∈ l) :
b ∈ dlookup a l := by
cases' Option.isSome_iff_exists.mp (dlookup_isSome.mpr (mem_keys_of_mem h)) with b' h'
cases nd.eq_of_mk_mem h (of_mem_dlookup h')
exact h'
#align list.mem_lookup List.mem_dlookup
theorem map_dlookup_eq_find (a : α) :
∀ l : List (Sigma β), (dlookup a l).map (Sigma.mk a) = find? (fun s => a = s.1) l
| [] => rfl
| ⟨a', b'⟩ :: l => by
by_cases h : a = a'
· subst a'
simp
· simpa [h] using map_dlookup_eq_find a l
#align list.map_lookup_eq_find List.map_dlookup_eq_find
theorem mem_dlookup_iff {a : α} {b : β a} {l : List (Sigma β)} (nd : l.NodupKeys) :
b ∈ dlookup a l ↔ Sigma.mk a b ∈ l :=
⟨of_mem_dlookup, mem_dlookup nd⟩
#align list.mem_lookup_iff List.mem_dlookup_iff
theorem perm_dlookup (a : α) {l₁ l₂ : List (Sigma β)} (nd₁ : l₁.NodupKeys) (nd₂ : l₂.NodupKeys)
(p : l₁ ~ l₂) : dlookup a l₁ = dlookup a l₂ := by
ext b; simp only [mem_dlookup_iff nd₁, mem_dlookup_iff nd₂]; exact p.mem_iff
#align list.perm_lookup List.perm_dlookup
theorem lookup_ext {l₀ l₁ : List (Sigma β)} (nd₀ : l₀.NodupKeys) (nd₁ : l₁.NodupKeys)
(h : ∀ x y, y ∈ l₀.dlookup x ↔ y ∈ l₁.dlookup x) : l₀ ~ l₁ :=
mem_ext nd₀.nodup nd₁.nodup fun ⟨a, b⟩ => by
rw [← mem_dlookup_iff, ← mem_dlookup_iff, h] <;> assumption
#align list.lookup_ext List.lookup_ext
def lookupAll (a : α) : List (Sigma β) → List (β a)
| [] => []
| ⟨a', b⟩ :: l => if h : a' = a then Eq.recOn h b :: lookupAll a l else lookupAll a l
#align list.lookup_all List.lookupAll
@[simp]
theorem lookupAll_nil (a : α) : lookupAll a [] = @nil (β a) :=
rfl
#align list.lookup_all_nil List.lookupAll_nil
@[simp]
theorem lookupAll_cons_eq (l) (a : α) (b : β a) : lookupAll a (⟨a, b⟩ :: l) = b :: lookupAll a l :=
dif_pos rfl
#align list.lookup_all_cons_eq List.lookupAll_cons_eq
@[simp]
theorem lookupAll_cons_ne (l) {a} : ∀ s : Sigma β, a ≠ s.1 → lookupAll a (s :: l) = lookupAll a l
| ⟨_, _⟩, h => dif_neg h.symm
#align list.lookup_all_cons_ne List.lookupAll_cons_ne
theorem lookupAll_eq_nil {a : α} :
∀ {l : List (Sigma β)}, lookupAll a l = [] ↔ ∀ b : β a, Sigma.mk a b ∉ l
| [] => by simp
| ⟨a', b⟩ :: l => by
by_cases h : a = a'
· subst a'
simp only [lookupAll_cons_eq, mem_cons, Sigma.mk.inj_iff, heq_eq_eq, true_and, not_or,
false_iff, not_forall, not_and, not_not]
use b
simp
· simp [h, lookupAll_eq_nil]
#align list.lookup_all_eq_nil List.lookupAll_eq_nil
theorem head?_lookupAll (a : α) : ∀ l : List (Sigma β), head? (lookupAll a l) = dlookup a l
| [] => by simp
| ⟨a', b⟩ :: l => by
by_cases h : a = a'
· subst h; simp
· rw [lookupAll_cons_ne, dlookup_cons_ne, head?_lookupAll a l] <;> assumption
#align list.head_lookup_all List.head?_lookupAll
theorem mem_lookupAll {a : α} {b : β a} :
∀ {l : List (Sigma β)}, b ∈ lookupAll a l ↔ Sigma.mk a b ∈ l
| [] => by simp
| ⟨a', b'⟩ :: l => by
by_cases h : a = a'
· subst h
simp [*, mem_lookupAll]
· simp [*, mem_lookupAll]
#align list.mem_lookup_all List.mem_lookupAll
theorem lookupAll_sublist (a : α) : ∀ l : List (Sigma β), (lookupAll a l).map (Sigma.mk a) <+ l
| [] => by simp
| ⟨a', b'⟩ :: l => by
by_cases h : a = a'
· subst h
simp only [ne_eq, not_true, lookupAll_cons_eq, List.map]
exact (lookupAll_sublist a l).cons₂ _
· simp only [ne_eq, h, not_false_iff, lookupAll_cons_ne]
exact (lookupAll_sublist a l).cons _
#align list.lookup_all_sublist List.lookupAll_sublist
theorem lookupAll_length_le_one (a : α) {l : List (Sigma β)} (h : l.NodupKeys) :
length (lookupAll a l) ≤ 1 := by
have := Nodup.sublist ((lookupAll_sublist a l).map _) h
rw [map_map] at this
rwa [← nodup_replicate, ← map_const]
#align list.lookup_all_length_le_one List.lookupAll_length_le_one
theorem lookupAll_eq_dlookup (a : α) {l : List (Sigma β)} (h : l.NodupKeys) :
lookupAll a l = (dlookup a l).toList := by
rw [← head?_lookupAll]
have h1 := lookupAll_length_le_one a h; revert h1
rcases lookupAll a l with (_ | ⟨b, _ | ⟨c, l⟩⟩) <;> intro h1 <;> try rfl
exact absurd h1 (by simp)
#align list.lookup_all_eq_lookup List.lookupAll_eq_dlookup
theorem lookupAll_nodup (a : α) {l : List (Sigma β)} (h : l.NodupKeys) : (lookupAll a l).Nodup := by
(rw [lookupAll_eq_dlookup a h]; apply Option.toList_nodup)
#align list.lookup_all_nodup List.lookupAll_nodup
theorem perm_lookupAll (a : α) {l₁ l₂ : List (Sigma β)} (nd₁ : l₁.NodupKeys) (nd₂ : l₂.NodupKeys)
(p : l₁ ~ l₂) : lookupAll a l₁ = lookupAll a l₂ := by
simp [lookupAll_eq_dlookup, nd₁, nd₂, perm_dlookup a nd₁ nd₂ p]
#align list.perm_lookup_all List.perm_lookupAll
def kreplace (a : α) (b : β a) : List (Sigma β) → List (Sigma β) :=
lookmap fun s => if a = s.1 then some ⟨a, b⟩ else none
#align list.kreplace List.kreplace
theorem kreplace_of_forall_not (a : α) (b : β a) {l : List (Sigma β)}
(H : ∀ b : β a, Sigma.mk a b ∉ l) : kreplace a b l = l :=
lookmap_of_forall_not _ <| by
rintro ⟨a', b'⟩ h; dsimp; split_ifs
· subst a'
exact H _ h
· rfl
#align list.kreplace_of_forall_not List.kreplace_of_forall_not
theorem kreplace_self {a : α} {b : β a} {l : List (Sigma β)} (nd : NodupKeys l)
(h : Sigma.mk a b ∈ l) : kreplace a b l = l := by
refine (lookmap_congr ?_).trans (lookmap_id' (Option.guard fun (s : Sigma β) => a = s.1) ?_ _)
· rintro ⟨a', b'⟩ h'
dsimp [Option.guard]
split_ifs
· subst a'
simp [nd.eq_of_mk_mem h h']
· rfl
· rintro ⟨a₁, b₁⟩ ⟨a₂, b₂⟩
dsimp [Option.guard]
split_ifs
· simp
· rintro ⟨⟩
#align list.kreplace_self List.kreplace_self
theorem keys_kreplace (a : α) (b : β a) : ∀ l : List (Sigma β), (kreplace a b l).keys = l.keys :=
lookmap_map_eq _ _ <| by
rintro ⟨a₁, b₂⟩ ⟨a₂, b₂⟩
dsimp
split_ifs with h <;> simp (config := { contextual := true }) [h]
#align list.keys_kreplace List.keys_kreplace
theorem kreplace_nodupKeys (a : α) (b : β a) {l : List (Sigma β)} :
(kreplace a b l).NodupKeys ↔ l.NodupKeys := by simp [NodupKeys, keys_kreplace]
#align list.kreplace_nodupkeys List.kreplace_nodupKeys
theorem Perm.kreplace {a : α} {b : β a} {l₁ l₂ : List (Sigma β)} (nd : l₁.NodupKeys) :
l₁ ~ l₂ → kreplace a b l₁ ~ kreplace a b l₂ :=
perm_lookmap _ <| by
refine nd.pairwise_ne.imp ?_
intro x y h z h₁ w h₂
split_ifs at h₁ h₂ with h_2 h_1 <;> cases h₁ <;> cases h₂
exact (h (h_2.symm.trans h_1)).elim
#align list.perm.kreplace List.Perm.kreplace
def kerase (a : α) : List (Sigma β) → List (Sigma β) :=
eraseP fun s => a = s.1
#align list.kerase List.kerase
-- Porting note (#10618): removing @[simp], `simp` can prove it
theorem kerase_nil {a} : @kerase _ β _ a [] = [] :=
rfl
#align list.kerase_nil List.kerase_nil
@[simp]
theorem kerase_cons_eq {a} {s : Sigma β} {l : List (Sigma β)} (h : a = s.1) :
kerase a (s :: l) = l := by simp [kerase, h]
#align list.kerase_cons_eq List.kerase_cons_eq
@[simp]
theorem kerase_cons_ne {a} {s : Sigma β} {l : List (Sigma β)} (h : a ≠ s.1) :
kerase a (s :: l) = s :: kerase a l := by simp [kerase, h]
#align list.kerase_cons_ne List.kerase_cons_ne
@[simp]
theorem kerase_of_not_mem_keys {a} {l : List (Sigma β)} (h : a ∉ l.keys) : kerase a l = l := by
induction' l with _ _ ih <;> [rfl; (simp [not_or] at h; simp [h.1, ih h.2])]
#align list.kerase_of_not_mem_keys List.kerase_of_not_mem_keys
theorem kerase_sublist (a : α) (l : List (Sigma β)) : kerase a l <+ l :=
eraseP_sublist _
#align list.kerase_sublist List.kerase_sublist
theorem kerase_keys_subset (a) (l : List (Sigma β)) : (kerase a l).keys ⊆ l.keys :=
((kerase_sublist a l).map _).subset
#align list.kerase_keys_subset List.kerase_keys_subset
theorem mem_keys_of_mem_keys_kerase {a₁ a₂} {l : List (Sigma β)} :
a₁ ∈ (kerase a₂ l).keys → a₁ ∈ l.keys :=
@kerase_keys_subset _ _ _ _ _ _
#align list.mem_keys_of_mem_keys_kerase List.mem_keys_of_mem_keys_kerase
theorem exists_of_kerase {a : α} {l : List (Sigma β)} (h : a ∈ l.keys) :
∃ (b : β a) (l₁ l₂ : List (Sigma β)),
a ∉ l₁.keys ∧ l = l₁ ++ ⟨a, b⟩ :: l₂ ∧ kerase a l = l₁ ++ l₂ := by
induction l with
| nil => cases h
| cons hd tl ih =>
by_cases e : a = hd.1
· subst e
exact ⟨hd.2, [], tl, by simp, by cases hd; rfl, by simp⟩
· simp only [keys_cons, mem_cons] at h
cases' h with h h
· exact absurd h e
rcases ih h with ⟨b, tl₁, tl₂, h₁, h₂, h₃⟩
exact ⟨b, hd :: tl₁, tl₂, not_mem_cons_of_ne_of_not_mem e h₁, by (rw [h₂]; rfl), by
simp [e, h₃]⟩
#align list.exists_of_kerase List.exists_of_kerase
@[simp]
theorem mem_keys_kerase_of_ne {a₁ a₂} {l : List (Sigma β)} (h : a₁ ≠ a₂) :
a₁ ∈ (kerase a₂ l).keys ↔ a₁ ∈ l.keys :=
(Iff.intro mem_keys_of_mem_keys_kerase) fun p =>
if q : a₂ ∈ l.keys then
match l, kerase a₂ l, exists_of_kerase q, p with
| _, _, ⟨_, _, _, _, rfl, rfl⟩, p => by simpa [keys, h] using p
else by simp [q, p]
#align list.mem_keys_kerase_of_ne List.mem_keys_kerase_of_ne
theorem keys_kerase {a} {l : List (Sigma β)} : (kerase a l).keys = l.keys.erase a := by
rw [keys, kerase, erase_eq_eraseP, eraseP_map, Function.comp]
simp only [beq_eq_decide]
congr
funext
simp
#align list.keys_kerase List.keys_kerase
theorem kerase_kerase {a a'} {l : List (Sigma β)} :
(kerase a' l).kerase a = (kerase a l).kerase a' := by
by_cases h : a = a'
· subst a'; rfl
induction' l with x xs
· rfl
· by_cases a' = x.1
· subst a'
simp [kerase_cons_ne h, kerase_cons_eq rfl]
by_cases h' : a = x.1
· subst a
simp [kerase_cons_eq rfl, kerase_cons_ne (Ne.symm h)]
· simp [kerase_cons_ne, *]
#align list.kerase_kerase List.kerase_kerase
theorem NodupKeys.kerase (a : α) : NodupKeys l → (kerase a l).NodupKeys :=
NodupKeys.sublist <| kerase_sublist _ _
#align list.nodupkeys.kerase List.NodupKeys.kerase
theorem Perm.kerase {a : α} {l₁ l₂ : List (Sigma β)} (nd : l₁.NodupKeys) :
l₁ ~ l₂ → kerase a l₁ ~ kerase a l₂ := by
apply Perm.eraseP
apply (nodupKeys_iff_pairwise.1 nd).imp
intros; simp_all
#align list.perm.kerase List.Perm.kerase
@[simp]
theorem not_mem_keys_kerase (a) {l : List (Sigma β)} (nd : l.NodupKeys) :
a ∉ (kerase a l).keys := by
induction l with
| nil => simp
| cons hd tl ih =>
simp? at nd says simp only [nodupKeys_cons] at nd
by_cases h : a = hd.1
· subst h
simp [nd.1]
· simp [h, ih nd.2]
#align list.not_mem_keys_kerase List.not_mem_keys_kerase
@[simp]
theorem dlookup_kerase (a) {l : List (Sigma β)} (nd : l.NodupKeys) :
dlookup a (kerase a l) = none :=
dlookup_eq_none.mpr (not_mem_keys_kerase a nd)
#align list.lookup_kerase List.dlookup_kerase
@[simp]
theorem dlookup_kerase_ne {a a'} {l : List (Sigma β)} (h : a ≠ a') :
dlookup a (kerase a' l) = dlookup a l := by
induction l with
| nil => rfl
| cons hd tl ih =>
cases' hd with ah bh
by_cases h₁ : a = ah <;> by_cases h₂ : a' = ah
· substs h₁ h₂
cases Ne.irrefl h
· subst h₁
simp [h₂]
· subst h₂
simp [h]
· simp [h₁, h₂, ih]
#align list.lookup_kerase_ne List.dlookup_kerase_ne
theorem kerase_append_left {a} :
∀ {l₁ l₂ : List (Sigma β)}, a ∈ l₁.keys → kerase a (l₁ ++ l₂) = kerase a l₁ ++ l₂
| [], _, h => by cases h
| s :: l₁, l₂, h₁ => by
if h₂ : a = s.1 then simp [h₂]
else simp at h₁; cases' h₁ with h₁ h₁ <;> [exact absurd h₁ h₂; simp [h₂, kerase_append_left h₁]]
#align list.kerase_append_left List.kerase_append_left
theorem kerase_append_right {a} :
∀ {l₁ l₂ : List (Sigma β)}, a ∉ l₁.keys → kerase a (l₁ ++ l₂) = l₁ ++ kerase a l₂
| [], _, _ => rfl
| _ :: l₁, l₂, h => by
simp only [keys_cons, mem_cons, not_or] at h
simp [h.1, kerase_append_right h.2]
#align list.kerase_append_right List.kerase_append_right
theorem kerase_comm (a₁ a₂) (l : List (Sigma β)) :
kerase a₂ (kerase a₁ l) = kerase a₁ (kerase a₂ l) :=
if h : a₁ = a₂ then by simp [h]
else
if ha₁ : a₁ ∈ l.keys then
if ha₂ : a₂ ∈ l.keys then
match l, kerase a₁ l, exists_of_kerase ha₁, ha₂ with
| _, _, ⟨b₁, l₁, l₂, a₁_nin_l₁, rfl, rfl⟩, _ =>
if h' : a₂ ∈ l₁.keys then by
simp [kerase_append_left h',
kerase_append_right (mt (mem_keys_kerase_of_ne h).mp a₁_nin_l₁)]
else by
simp [kerase_append_right h', kerase_append_right a₁_nin_l₁,
@kerase_cons_ne _ _ _ a₂ ⟨a₁, b₁⟩ _ (Ne.symm h)]
else by simp [ha₂, mt mem_keys_of_mem_keys_kerase ha₂]
else by simp [ha₁, mt mem_keys_of_mem_keys_kerase ha₁]
#align list.kerase_comm List.kerase_comm
theorem sizeOf_kerase [DecidableEq α] [SizeOf (Sigma β)] (x : α)
(xs : List (Sigma β)) : SizeOf.sizeOf (List.kerase x xs) ≤ SizeOf.sizeOf xs := by
simp only [SizeOf.sizeOf, _sizeOf_1]
induction' xs with y ys
· simp
· by_cases x = y.1 <;> simp [*]
#align list.sizeof_kerase List.sizeOf_kerase
def kinsert (a : α) (b : β a) (l : List (Sigma β)) : List (Sigma β) :=
⟨a, b⟩ :: kerase a l
#align list.kinsert List.kinsert
@[simp]
theorem kinsert_def {a} {b : β a} {l : List (Sigma β)} : kinsert a b l = ⟨a, b⟩ :: kerase a l :=
rfl
#align list.kinsert_def List.kinsert_def
theorem mem_keys_kinsert {a a'} {b' : β a'} {l : List (Sigma β)} :
a ∈ (kinsert a' b' l).keys ↔ a = a' ∨ a ∈ l.keys := by by_cases h : a = a' <;> simp [h]
#align list.mem_keys_kinsert List.mem_keys_kinsert
theorem kinsert_nodupKeys (a) (b : β a) {l : List (Sigma β)} (nd : l.NodupKeys) :
(kinsert a b l).NodupKeys :=
nodupKeys_cons.mpr ⟨not_mem_keys_kerase a nd, nd.kerase a⟩
#align list.kinsert_nodupkeys List.kinsert_nodupKeys
theorem Perm.kinsert {a} {b : β a} {l₁ l₂ : List (Sigma β)} (nd₁ : l₁.NodupKeys) (p : l₁ ~ l₂) :
kinsert a b l₁ ~ kinsert a b l₂ :=
(p.kerase nd₁).cons _
#align list.perm.kinsert List.Perm.kinsert
theorem dlookup_kinsert {a} {b : β a} (l : List (Sigma β)) :
dlookup a (kinsert a b l) = some b := by
simp only [kinsert, dlookup_cons_eq]
#align list.lookup_kinsert List.dlookup_kinsert
theorem dlookup_kinsert_ne {a a'} {b' : β a'} {l : List (Sigma β)} (h : a ≠ a') :
dlookup a (kinsert a' b' l) = dlookup a l := by simp [h]
#align list.lookup_kinsert_ne List.dlookup_kinsert_ne
def kextract (a : α) : List (Sigma β) → Option (β a) × List (Sigma β)
| [] => (none, [])
| s :: l =>
if h : s.1 = a then (some (Eq.recOn h s.2), l)
else
let (b', l') := kextract a l
(b', s :: l')
#align list.kextract List.kextract
@[simp]
theorem kextract_eq_dlookup_kerase (a : α) :
∀ l : List (Sigma β), kextract a l = (dlookup a l, kerase a l)
| [] => rfl
| ⟨a', b⟩ :: l => by
simp only [kextract]; dsimp; split_ifs with h
· subst a'
simp [kerase]
· simp [kextract, Ne.symm h, kextract_eq_dlookup_kerase a l, kerase]
#align list.kextract_eq_lookup_kerase List.kextract_eq_dlookup_kerase
def dedupKeys : List (Sigma β) → List (Sigma β) :=
List.foldr (fun x => kinsert x.1 x.2) []
#align list.dedupkeys List.dedupKeys
theorem dedupKeys_cons {x : Sigma β} (l : List (Sigma β)) :
dedupKeys (x :: l) = kinsert x.1 x.2 (dedupKeys l) :=
rfl
#align list.dedupkeys_cons List.dedupKeys_cons
theorem nodupKeys_dedupKeys (l : List (Sigma β)) : NodupKeys (dedupKeys l) := by
dsimp [dedupKeys]
generalize hl : nil = l'
have : NodupKeys l' := by
rw [← hl]
apply nodup_nil
clear hl
induction' l with x xs l_ih
· apply this
· cases x
simp only [foldr_cons, kinsert_def, nodupKeys_cons, ne_eq, not_true]
constructor
· simp only [keys_kerase]
apply l_ih.not_mem_erase
· exact l_ih.kerase _
#align list.nodupkeys_dedupkeys List.nodupKeys_dedupKeys
theorem dlookup_dedupKeys (a : α) (l : List (Sigma β)) : dlookup a (dedupKeys l) = dlookup a l := by
induction' l with l_hd _ l_ih
· rfl
cases' l_hd with a' b
by_cases h : a = a'
· subst a'
rw [dedupKeys_cons, dlookup_kinsert, dlookup_cons_eq]
· rw [dedupKeys_cons, dlookup_kinsert_ne h, l_ih, dlookup_cons_ne]
exact h
#align list.lookup_dedupkeys List.dlookup_dedupKeys
theorem sizeOf_dedupKeys [DecidableEq α] [SizeOf (Sigma β)]
(xs : List (Sigma β)) : SizeOf.sizeOf (dedupKeys xs) ≤ SizeOf.sizeOf xs := by
simp only [SizeOf.sizeOf, _sizeOf_1]
induction' xs with x xs
· simp [dedupKeys]
· simp only [dedupKeys_cons, kinsert_def, Nat.add_le_add_iff_left, Sigma.eta]
trans
· apply sizeOf_kerase
· assumption
#align list.sizeof_dedupkeys List.sizeOf_dedupKeys
def kunion : List (Sigma β) → List (Sigma β) → List (Sigma β)
| [], l₂ => l₂
| s :: l₁, l₂ => s :: kunion l₁ (kerase s.1 l₂)
#align list.kunion List.kunion
@[simp]
theorem nil_kunion {l : List (Sigma β)} : kunion [] l = l :=
rfl
#align list.nil_kunion List.nil_kunion
@[simp]
theorem kunion_nil : ∀ {l : List (Sigma β)}, kunion l [] = l
| [] => rfl
| _ :: l => by rw [kunion, kerase_nil, kunion_nil]
#align list.kunion_nil List.kunion_nil
@[simp]
theorem kunion_cons {s} {l₁ l₂ : List (Sigma β)} :
kunion (s :: l₁) l₂ = s :: kunion l₁ (kerase s.1 l₂) :=
rfl
#align list.kunion_cons List.kunion_cons
@[simp]
theorem mem_keys_kunion {a} {l₁ l₂ : List (Sigma β)} :
a ∈ (kunion l₁ l₂).keys ↔ a ∈ l₁.keys ∨ a ∈ l₂.keys := by
induction l₁ generalizing l₂ with
| nil => simp
| cons s l₁ ih => by_cases h : a = s.1 <;> [simp [h]; simp [h, ih]]
#align list.mem_keys_kunion List.mem_keys_kunion
@[simp]
theorem kunion_kerase {a} :
∀ {l₁ l₂ : List (Sigma β)}, kunion (kerase a l₁) (kerase a l₂) = kerase a (kunion l₁ l₂)
| [], _ => rfl
| s :: _, l => by by_cases h : a = s.1 <;> simp [h, kerase_comm a s.1 l, kunion_kerase]
#align list.kunion_kerase List.kunion_kerase
theorem NodupKeys.kunion (nd₁ : l₁.NodupKeys) (nd₂ : l₂.NodupKeys) : (kunion l₁ l₂).NodupKeys := by
induction l₁ generalizing l₂ with
| nil => simp only [nil_kunion, nd₂]
| cons s l₁ ih =>
simp? at nd₁ says simp only [nodupKeys_cons] at nd₁
simp [not_or, nd₁.1, nd₂, ih nd₁.2 (nd₂.kerase s.1)]
#align list.nodupkeys.kunion List.NodupKeys.kunion
| Mathlib/Data/List/Sigma.lean | 732 | 739 | theorem Perm.kunion_right {l₁ l₂ : List (Sigma β)} (p : l₁ ~ l₂) (l) :
kunion l₁ l ~ kunion l₂ l := by |
induction p generalizing l with
| nil => rfl
| cons hd _ ih =>
simp [ih (List.kerase _ _), Perm.cons]
| swap s₁ s₂ l => simp [kerase_comm, Perm.swap]
| trans _ _ ih₁₂ ih₂₃ => exact Perm.trans (ih₁₂ l) (ih₂₃ l)
|
import Mathlib.Order.Interval.Finset.Basic
import Mathlib.Data.Fintype.BigOperators
#align_import data.pi.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
open Finset Fintype
variable {ι : Type*} {α : ι → Type*} [Fintype ι] [DecidableEq ι] [∀ i, DecidableEq (α i)]
namespace Pi
section PartialOrder
variable [∀ i, PartialOrder (α i)]
section LocallyFiniteOrder
variable [∀ i, LocallyFiniteOrder (α i)]
instance instLocallyFiniteOrder : LocallyFiniteOrder (∀ i, α i) :=
LocallyFiniteOrder.ofIcc _ (fun a b => piFinset fun i => Icc (a i) (b i)) fun a b x => by
simp_rw [mem_piFinset, mem_Icc, le_def, forall_and]
variable (a b : ∀ i, α i)
theorem Icc_eq : Icc a b = piFinset fun i => Icc (a i) (b i) :=
rfl
#align pi.Icc_eq Pi.Icc_eq
theorem card_Icc : (Icc a b).card = ∏ i, (Icc (a i) (b i)).card :=
card_piFinset _
#align pi.card_Icc Pi.card_Icc
theorem card_Ico : (Ico a b).card = (∏ i, (Icc (a i) (b i)).card) - 1 := by
rw [card_Ico_eq_card_Icc_sub_one, card_Icc]
#align pi.card_Ico Pi.card_Ico
theorem card_Ioc : (Ioc a b).card = (∏ i, (Icc (a i) (b i)).card) - 1 := by
rw [card_Ioc_eq_card_Icc_sub_one, card_Icc]
#align pi.card_Ioc Pi.card_Ioc
| Mathlib/Data/Pi/Interval.lean | 52 | 53 | theorem card_Ioo : (Ioo a b).card = (∏ i, (Icc (a i) (b i)).card) - 2 := by |
rw [card_Ioo_eq_card_Icc_sub_two, card_Icc]
|
import Mathlib.Data.ENNReal.Inv
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Set NNReal ENNReal
namespace ENNReal
section Real
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
theorem toReal_add (ha : a ≠ ∞) (hb : b ≠ ∞) : (a + b).toReal = a.toReal + b.toReal := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
rfl
#align ennreal.to_real_add ENNReal.toReal_add
theorem toReal_sub_of_le {a b : ℝ≥0∞} (h : b ≤ a) (ha : a ≠ ∞) :
(a - b).toReal = a.toReal - b.toReal := by
lift b to ℝ≥0 using ne_top_of_le_ne_top ha h
lift a to ℝ≥0 using ha
simp only [← ENNReal.coe_sub, ENNReal.coe_toReal, NNReal.coe_sub (ENNReal.coe_le_coe.mp h)]
#align ennreal.to_real_sub_of_le ENNReal.toReal_sub_of_le
theorem le_toReal_sub {a b : ℝ≥0∞} (hb : b ≠ ∞) : a.toReal - b.toReal ≤ (a - b).toReal := by
lift b to ℝ≥0 using hb
induction a
· simp
· simp only [← coe_sub, NNReal.sub_def, Real.coe_toNNReal', coe_toReal]
exact le_max_left _ _
#align ennreal.le_to_real_sub ENNReal.le_toReal_sub
theorem toReal_add_le : (a + b).toReal ≤ a.toReal + b.toReal :=
if ha : a = ∞ then by simp only [ha, top_add, top_toReal, zero_add, toReal_nonneg]
else
if hb : b = ∞ then by simp only [hb, add_top, top_toReal, add_zero, toReal_nonneg]
else le_of_eq (toReal_add ha hb)
#align ennreal.to_real_add_le ENNReal.toReal_add_le
theorem ofReal_add {p q : ℝ} (hp : 0 ≤ p) (hq : 0 ≤ q) :
ENNReal.ofReal (p + q) = ENNReal.ofReal p + ENNReal.ofReal q := by
rw [ENNReal.ofReal, ENNReal.ofReal, ENNReal.ofReal, ← coe_add, coe_inj,
Real.toNNReal_add hp hq]
#align ennreal.of_real_add ENNReal.ofReal_add
theorem ofReal_add_le {p q : ℝ} : ENNReal.ofReal (p + q) ≤ ENNReal.ofReal p + ENNReal.ofReal q :=
coe_le_coe.2 Real.toNNReal_add_le
#align ennreal.of_real_add_le ENNReal.ofReal_add_le
@[simp]
theorem toReal_le_toReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toReal ≤ b.toReal ↔ a ≤ b := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
norm_cast
#align ennreal.to_real_le_to_real ENNReal.toReal_le_toReal
@[gcongr]
theorem toReal_mono (hb : b ≠ ∞) (h : a ≤ b) : a.toReal ≤ b.toReal :=
(toReal_le_toReal (ne_top_of_le_ne_top hb h) hb).2 h
#align ennreal.to_real_mono ENNReal.toReal_mono
-- Porting note (#10756): new lemma
theorem toReal_mono' (h : a ≤ b) (ht : b = ∞ → a = ∞) : a.toReal ≤ b.toReal := by
rcases eq_or_ne a ∞ with rfl | ha
· exact toReal_nonneg
· exact toReal_mono (mt ht ha) h
@[simp]
theorem toReal_lt_toReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toReal < b.toReal ↔ a < b := by
lift a to ℝ≥0 using ha
lift b to ℝ≥0 using hb
norm_cast
#align ennreal.to_real_lt_to_real ENNReal.toReal_lt_toReal
@[gcongr]
theorem toReal_strict_mono (hb : b ≠ ∞) (h : a < b) : a.toReal < b.toReal :=
(toReal_lt_toReal h.ne_top hb).2 h
#align ennreal.to_real_strict_mono ENNReal.toReal_strict_mono
@[gcongr]
theorem toNNReal_mono (hb : b ≠ ∞) (h : a ≤ b) : a.toNNReal ≤ b.toNNReal :=
toReal_mono hb h
#align ennreal.to_nnreal_mono ENNReal.toNNReal_mono
-- Porting note (#10756): new lemma
theorem toReal_le_add' (hle : a ≤ b + c) (hb : b = ∞ → a = ∞) (hc : c = ∞ → a = ∞) :
a.toReal ≤ b.toReal + c.toReal := by
refine le_trans (toReal_mono' hle ?_) toReal_add_le
simpa only [add_eq_top, or_imp] using And.intro hb hc
-- Porting note (#10756): new lemma
theorem toReal_le_add (hle : a ≤ b + c) (hb : b ≠ ∞) (hc : c ≠ ∞) :
a.toReal ≤ b.toReal + c.toReal :=
toReal_le_add' hle (flip absurd hb) (flip absurd hc)
@[simp]
theorem toNNReal_le_toNNReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toNNReal ≤ b.toNNReal ↔ a ≤ b :=
⟨fun h => by rwa [← coe_toNNReal ha, ← coe_toNNReal hb, coe_le_coe], toNNReal_mono hb⟩
#align ennreal.to_nnreal_le_to_nnreal ENNReal.toNNReal_le_toNNReal
theorem toNNReal_strict_mono (hb : b ≠ ∞) (h : a < b) : a.toNNReal < b.toNNReal := by
simpa [← ENNReal.coe_lt_coe, hb, h.ne_top]
#align ennreal.to_nnreal_strict_mono ENNReal.toNNReal_strict_mono
@[simp]
theorem toNNReal_lt_toNNReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toNNReal < b.toNNReal ↔ a < b :=
⟨fun h => by rwa [← coe_toNNReal ha, ← coe_toNNReal hb, coe_lt_coe], toNNReal_strict_mono hb⟩
#align ennreal.to_nnreal_lt_to_nnreal ENNReal.toNNReal_lt_toNNReal
theorem toReal_max (hr : a ≠ ∞) (hp : b ≠ ∞) :
ENNReal.toReal (max a b) = max (ENNReal.toReal a) (ENNReal.toReal b) :=
(le_total a b).elim
(fun h => by simp only [h, (ENNReal.toReal_le_toReal hr hp).2 h, max_eq_right]) fun h => by
simp only [h, (ENNReal.toReal_le_toReal hp hr).2 h, max_eq_left]
#align ennreal.to_real_max ENNReal.toReal_max
theorem toReal_min {a b : ℝ≥0∞} (hr : a ≠ ∞) (hp : b ≠ ∞) :
ENNReal.toReal (min a b) = min (ENNReal.toReal a) (ENNReal.toReal b) :=
(le_total a b).elim (fun h => by simp only [h, (ENNReal.toReal_le_toReal hr hp).2 h, min_eq_left])
fun h => by simp only [h, (ENNReal.toReal_le_toReal hp hr).2 h, min_eq_right]
#align ennreal.to_real_min ENNReal.toReal_min
theorem toReal_sup {a b : ℝ≥0∞} : a ≠ ∞ → b ≠ ∞ → (a ⊔ b).toReal = a.toReal ⊔ b.toReal :=
toReal_max
#align ennreal.to_real_sup ENNReal.toReal_sup
theorem toReal_inf {a b : ℝ≥0∞} : a ≠ ∞ → b ≠ ∞ → (a ⊓ b).toReal = a.toReal ⊓ b.toReal :=
toReal_min
#align ennreal.to_real_inf ENNReal.toReal_inf
| Mathlib/Data/ENNReal/Real.lean | 162 | 163 | theorem toNNReal_pos_iff : 0 < a.toNNReal ↔ 0 < a ∧ a < ∞ := by |
induction a <;> simp
|
import Mathlib.Algebra.GroupWithZero.NonZeroDivisors
import Mathlib.Algebra.Polynomial.Lifts
import Mathlib.GroupTheory.MonoidLocalization
import Mathlib.RingTheory.Algebraic
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.RingTheory.IntegralClosure
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Localization.Integer
#align_import ring_theory.localization.integral from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
variable {R : Type*} [CommRing R] (M : Submonoid R) {S : Type*} [CommRing S]
variable [Algebra R S] {P : Type*} [CommRing P]
open Polynomial
namespace IsLocalization
section IntegerNormalization
open Polynomial
variable [IsLocalization M S]
open scoped Classical
noncomputable def coeffIntegerNormalization (p : S[X]) (i : ℕ) : R :=
if hi : i ∈ p.support then
Classical.choose
(Classical.choose_spec (exist_integer_multiples_of_finset M (p.support.image p.coeff))
(p.coeff i) (Finset.mem_image.mpr ⟨i, hi, rfl⟩))
else 0
#align is_localization.coeff_integer_normalization IsLocalization.coeffIntegerNormalization
theorem coeffIntegerNormalization_of_not_mem_support (p : S[X]) (i : ℕ) (h : coeff p i = 0) :
coeffIntegerNormalization M p i = 0 := by
simp only [coeffIntegerNormalization, h, mem_support_iff, eq_self_iff_true, not_true, Ne,
dif_neg, not_false_iff]
#align is_localization.coeff_integer_normalization_of_not_mem_support IsLocalization.coeffIntegerNormalization_of_not_mem_support
| Mathlib/RingTheory/Localization/Integral.lean | 61 | 64 | theorem coeffIntegerNormalization_mem_support (p : S[X]) (i : ℕ)
(h : coeffIntegerNormalization M p i ≠ 0) : i ∈ p.support := by |
contrapose h
rw [Ne, Classical.not_not, coeffIntegerNormalization, dif_neg h]
|
import Mathlib.Algebra.Group.Defs
import Mathlib.Algebra.Group.Prod
import Mathlib.Data.PNat.Basic
import Mathlib.GroupTheory.GroupAction.Prod
variable {M : Type*}
class PNatPowAssoc (M : Type*) [Mul M] [Pow M ℕ+] : Prop where
protected ppow_add : ∀ (k n : ℕ+) (x : M), x ^ (k + n) = x ^ k * x ^ n
protected ppow_one : ∀ (x : M), x ^ (1 : ℕ+) = x
section Mul
variable [Mul M] [Pow M ℕ+] [PNatPowAssoc M]
theorem ppow_add (k n : ℕ+) (x : M) : x ^ (k + n) = x ^ k * x ^ n :=
PNatPowAssoc.ppow_add k n x
@[simp]
theorem ppow_one (x : M) : x ^ (1 : ℕ+) = x :=
PNatPowAssoc.ppow_one x
theorem ppow_mul_assoc (k m n : ℕ+) (x : M) :
(x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by
simp only [← ppow_add, add_assoc]
theorem ppow_mul_comm (m n : ℕ+) (x : M) :
x ^ m * x ^ n = x ^ n * x ^ m := by simp only [← ppow_add, add_comm]
| Mathlib/Algebra/Group/PNatPowAssoc.lean | 67 | 70 | theorem ppow_mul (x : M) (m n : ℕ+) : x ^ (m * n) = (x ^ m) ^ n := by |
refine PNat.recOn n ?_ fun k hk ↦ ?_
· rw [ppow_one, mul_one]
· rw [ppow_add, ppow_one, mul_add, ppow_add, mul_one, hk]
|
import Mathlib.Geometry.Manifold.MFDeriv.UniqueDifferential
import Mathlib.Geometry.Manifold.ContMDiffMap
#align_import geometry.manifold.cont_mdiff_mfderiv from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833"
open Set Function Filter ChartedSpace SmoothManifoldWithCorners Bundle
open scoped Topology Manifold Bundle
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
-- declare a smooth manifold `M` over the pair `(E, H)`.
{E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
{I : ModelWithCorners 𝕜 E H} {M : Type*} [TopologicalSpace M] [ChartedSpace H M]
[Is : SmoothManifoldWithCorners I M]
-- declare a smooth manifold `M'` over the pair `(E', H')`.
{E' : Type*}
[NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
{I' : ModelWithCorners 𝕜 E' H'} {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
[I's : SmoothManifoldWithCorners I' M']
-- declare a smooth manifold `N` over the pair `(F, G)`.
{F : Type*}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [TopologicalSpace G]
{J : ModelWithCorners 𝕜 F G} {N : Type*} [TopologicalSpace N] [ChartedSpace G N]
[Js : SmoothManifoldWithCorners J N]
-- declare a smooth manifold `N'` over the pair `(F', G')`.
{F' : Type*}
[NormedAddCommGroup F'] [NormedSpace 𝕜 F'] {G' : Type*} [TopologicalSpace G']
{J' : ModelWithCorners 𝕜 F' G'} {N' : Type*} [TopologicalSpace N'] [ChartedSpace G' N']
[J's : SmoothManifoldWithCorners J' N']
-- declare some additional normed spaces, used for fibers of vector bundles
{F₁ : Type*}
[NormedAddCommGroup F₁] [NormedSpace 𝕜 F₁] {F₂ : Type*} [NormedAddCommGroup F₂]
[NormedSpace 𝕜 F₂]
-- declare functions, sets, points and smoothness indices
{f f₁ : M → M'}
{s s₁ t : Set M} {x : M} {m n : ℕ∞}
-- Porting note: section about deducing differentiability from smoothness moved to
-- `Geometry.Manifold.MFDeriv.Basic`
section tangentMap
| Mathlib/Geometry/Manifold/ContMDiffMFDeriv.lean | 227 | 280 | theorem ContMDiffOn.continuousOn_tangentMapWithin_aux {f : H → H'} {s : Set H}
(hf : ContMDiffOn I I' n f s) (hn : 1 ≤ n) (hs : UniqueMDiffOn I s) :
ContinuousOn (tangentMapWithin I I' f s) (π E (TangentSpace I) ⁻¹' s) := by |
suffices h :
ContinuousOn
(fun p : H × E =>
(f p.fst,
(fderivWithin 𝕜 (writtenInExtChartAt I I' p.fst f) (I.symm ⁻¹' s ∩ range I)
((extChartAt I p.fst) p.fst) : E →L[𝕜] E') p.snd)) (Prod.fst ⁻¹' s) by
have A := (tangentBundleModelSpaceHomeomorph H I).continuous
rw [continuous_iff_continuousOn_univ] at A
have B :=
((tangentBundleModelSpaceHomeomorph H' I').symm.continuous.comp_continuousOn h).comp' A
have :
univ ∩ tangentBundleModelSpaceHomeomorph H I ⁻¹' (Prod.fst ⁻¹' s) =
π E (TangentSpace I) ⁻¹' s := by
ext ⟨x, v⟩; simp only [mfld_simps]
rw [this] at B
apply B.congr
rintro ⟨x, v⟩ hx
dsimp [tangentMapWithin]
ext; · rfl
simp only [mfld_simps]
apply congr_fun
apply congr_arg
rw [MDifferentiableWithinAt.mfderivWithin (hf.mdifferentiableOn hn x hx)]
rfl
suffices h :
ContinuousOn
(fun p : H × E =>
(fderivWithin 𝕜 (I' ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I p.fst) : E →L[𝕜] E') p.snd)
(Prod.fst ⁻¹' s) by
dsimp [writtenInExtChartAt, extChartAt]
exact (ContinuousOn.comp hf.continuousOn continuous_fst.continuousOn Subset.rfl).prod h
suffices h : ContinuousOn (fderivWithin 𝕜 (I' ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I)) (I '' s) by
have C := ContinuousOn.comp h I.continuous_toFun.continuousOn Subset.rfl
have A : Continuous fun q : (E →L[𝕜] E') × E => q.1 q.2 :=
isBoundedBilinearMap_apply.continuous
have B :
ContinuousOn
(fun p : H × E => (fderivWithin 𝕜 (I' ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I p.1), p.2))
(Prod.fst ⁻¹' s) := by
apply ContinuousOn.prod _ continuous_snd.continuousOn
refine C.comp continuousOn_fst ?_
exact preimage_mono (subset_preimage_image _ _)
exact A.comp_continuousOn B
rw [contMDiffOn_iff] at hf
let x : H := I.symm (0 : E)
let y : H' := I'.symm (0 : E')
have A := hf.2 x y
simp only [I.image_eq, inter_comm, mfld_simps] at A ⊢
apply A.continuousOn_fderivWithin _ hn
convert hs.uniqueDiffOn_target_inter x using 1
simp only [inter_comm, mfld_simps]
|
import Mathlib.Algebra.DirectLimit
import Mathlib.Algebra.CharP.Algebra
import Mathlib.FieldTheory.IsAlgClosed.Basic
import Mathlib.FieldTheory.SplittingField.Construction
#align_import field_theory.is_alg_closed.algebraic_closure from "leanprover-community/mathlib"@"df76f43357840485b9d04ed5dee5ab115d420e87"
universe u v w
noncomputable section
open scoped Classical Polynomial
open Polynomial
variable (k : Type u) [Field k]
namespace AlgebraicClosure
open MvPolynomial
abbrev MonicIrreducible : Type u :=
{ f : k[X] // Monic f ∧ Irreducible f }
#align algebraic_closure.monic_irreducible AlgebraicClosure.MonicIrreducible
def evalXSelf (f : MonicIrreducible k) : MvPolynomial (MonicIrreducible k) k :=
Polynomial.eval₂ MvPolynomial.C (X f) f
set_option linter.uppercaseLean3 false in
#align algebraic_closure.eval_X_self AlgebraicClosure.evalXSelf
def spanEval : Ideal (MvPolynomial (MonicIrreducible k) k) :=
Ideal.span <| Set.range <| evalXSelf k
#align algebraic_closure.span_eval AlgebraicClosure.spanEval
def toSplittingField (s : Finset (MonicIrreducible k)) :
MvPolynomial (MonicIrreducible k) k →ₐ[k] SplittingField (∏ x ∈ s, x : k[X]) :=
MvPolynomial.aeval fun f =>
if hf : f ∈ s then
rootOfSplits _
((splits_prod_iff _ fun (j : MonicIrreducible k) _ => j.2.2.ne_zero).1
(SplittingField.splits _) f hf)
(mt isUnit_iff_degree_eq_zero.2 f.2.2.not_unit)
else 37
#align algebraic_closure.to_splitting_field AlgebraicClosure.toSplittingField
theorem toSplittingField_evalXSelf {s : Finset (MonicIrreducible k)} {f} (hf : f ∈ s) :
toSplittingField k s (evalXSelf k f) = 0 := by
rw [toSplittingField, evalXSelf, ← AlgHom.coe_toRingHom, hom_eval₂, AlgHom.coe_toRingHom,
MvPolynomial.aeval_X, dif_pos hf, ← MvPolynomial.algebraMap_eq, AlgHom.comp_algebraMap]
exact map_rootOfSplits _ _ _
set_option linter.uppercaseLean3 false in
#align algebraic_closure.to_splitting_field_eval_X_self AlgebraicClosure.toSplittingField_evalXSelf
theorem spanEval_ne_top : spanEval k ≠ ⊤ := by
rw [Ideal.ne_top_iff_one, spanEval, Ideal.span, ← Set.image_univ,
Finsupp.mem_span_image_iff_total]
rintro ⟨v, _, hv⟩
replace hv := congr_arg (toSplittingField k v.support) hv
rw [AlgHom.map_one, Finsupp.total_apply, Finsupp.sum, AlgHom.map_sum, Finset.sum_eq_zero] at hv
· exact zero_ne_one hv
intro j hj
rw [smul_eq_mul, AlgHom.map_mul, toSplittingField_evalXSelf (s := v.support) hj,
mul_zero]
#align algebraic_closure.span_eval_ne_top AlgebraicClosure.spanEval_ne_top
def maxIdeal : Ideal (MvPolynomial (MonicIrreducible k) k) :=
Classical.choose <| Ideal.exists_le_maximal _ <| spanEval_ne_top k
#align algebraic_closure.max_ideal AlgebraicClosure.maxIdeal
instance maxIdeal.isMaximal : (maxIdeal k).IsMaximal :=
(Classical.choose_spec <| Ideal.exists_le_maximal _ <| spanEval_ne_top k).1
#align algebraic_closure.max_ideal.is_maximal AlgebraicClosure.maxIdeal.isMaximal
theorem le_maxIdeal : spanEval k ≤ maxIdeal k :=
(Classical.choose_spec <| Ideal.exists_le_maximal _ <| spanEval_ne_top k).2
#align algebraic_closure.le_max_ideal AlgebraicClosure.le_maxIdeal
def AdjoinMonic : Type u :=
MvPolynomial (MonicIrreducible k) k ⧸ maxIdeal k
#align algebraic_closure.adjoin_monic AlgebraicClosure.AdjoinMonic
instance AdjoinMonic.field : Field (AdjoinMonic k) :=
Ideal.Quotient.field _
#align algebraic_closure.adjoin_monic.field AlgebraicClosure.AdjoinMonic.field
instance AdjoinMonic.inhabited : Inhabited (AdjoinMonic k) :=
⟨37⟩
#align algebraic_closure.adjoin_monic.inhabited AlgebraicClosure.AdjoinMonic.inhabited
def toAdjoinMonic : k →+* AdjoinMonic k :=
(Ideal.Quotient.mk _).comp C
#align algebraic_closure.to_adjoin_monic AlgebraicClosure.toAdjoinMonic
instance AdjoinMonic.algebra : Algebra k (AdjoinMonic k) :=
(toAdjoinMonic k).toAlgebra
#align algebraic_closure.adjoin_monic.algebra AlgebraicClosure.AdjoinMonic.algebra
set_option backward.isDefEq.lazyWhnfCore false in -- See https://github.com/leanprover-community/mathlib4/issues/12534
-- Porting note: In the statement, the type of `C` had to be made explicit.
theorem AdjoinMonic.algebraMap : algebraMap k (AdjoinMonic k) = (Ideal.Quotient.mk _).comp
(C : k →+* MvPolynomial (MonicIrreducible k) k) := rfl
#align algebraic_closure.adjoin_monic.algebra_map AlgebraicClosure.AdjoinMonic.algebraMap
theorem AdjoinMonic.isIntegral (z : AdjoinMonic k) : IsIntegral k z := by
let ⟨p, hp⟩ := Ideal.Quotient.mk_surjective z
rw [← hp]
induction p using MvPolynomial.induction_on generalizing z with
| h_C => exact isIntegral_algebraMap
| h_add _ _ ha hb => exact (ha _ rfl).add (hb _ rfl)
| h_X p f ih =>
refine @IsIntegral.mul k _ _ _ _ _ (Ideal.Quotient.mk (maxIdeal k) _) (ih _ rfl) ?_
refine ⟨f, f.2.1, ?_⟩
erw [AdjoinMonic.algebraMap, ← hom_eval₂, Ideal.Quotient.eq_zero_iff_mem]
exact le_maxIdeal k (Ideal.subset_span ⟨f, rfl⟩)
#align algebraic_closure.adjoin_monic.is_integral AlgebraicClosure.AdjoinMonic.isIntegral
theorem AdjoinMonic.exists_root {f : k[X]} (hfm : f.Monic) (hfi : Irreducible f) :
∃ x : AdjoinMonic k, f.eval₂ (toAdjoinMonic k) x = 0 :=
⟨Ideal.Quotient.mk _ <| X (⟨f, hfm, hfi⟩ : MonicIrreducible k), by
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [toAdjoinMonic, ← hom_eval₂, Ideal.Quotient.eq_zero_iff_mem]
exact le_maxIdeal k (Ideal.subset_span <| ⟨_, rfl⟩)⟩
#align algebraic_closure.adjoin_monic.exists_root AlgebraicClosure.AdjoinMonic.exists_root
def stepAux (n : ℕ) : Σ α : Type u, Field α :=
Nat.recOn n ⟨k, inferInstance⟩ fun _ ih => ⟨@AdjoinMonic ih.1 ih.2, @AdjoinMonic.field ih.1 ih.2⟩
#align algebraic_closure.step_aux AlgebraicClosure.stepAux
def Step (n : ℕ) : Type u :=
(stepAux k n).1
#align algebraic_closure.step AlgebraicClosure.Step
-- Porting note: added during the port to help in the proof of `Step.isIntegral` below.
theorem Step.zero : Step k 0 = k := rfl
instance Step.field (n : ℕ) : Field (Step k n) :=
(stepAux k n).2
#align algebraic_closure.step.field AlgebraicClosure.Step.field
-- Porting note: added during the port to help in the proof of `Step.isIntegral` below.
theorem Step.succ (n : ℕ) : Step k (n + 1) = AdjoinMonic (Step k n) := rfl
instance Step.inhabited (n) : Inhabited (Step k n) :=
⟨37⟩
#align algebraic_closure.step.inhabited AlgebraicClosure.Step.inhabited
def toStepZero : k →+* Step k 0 :=
RingHom.id k
#align algebraic_closure.to_step_zero AlgebraicClosure.toStepZero
def toStepSucc (n : ℕ) : Step k n →+* (Step k (n + 1)) :=
@toAdjoinMonic (Step k n) (Step.field k n)
#align algebraic_closure.to_step_succ AlgebraicClosure.toStepSucc
instance Step.algebraSucc (n) : Algebra (Step k n) (Step k (n + 1)) :=
(toStepSucc k n).toAlgebra
#align algebraic_closure.step.algebra_succ AlgebraicClosure.Step.algebraSucc
| Mathlib/FieldTheory/IsAlgClosed/AlgebraicClosure.lean | 197 | 203 | theorem toStepSucc.exists_root {n} {f : Polynomial (Step k n)} (hfm : f.Monic)
(hfi : Irreducible f) : ∃ x : Step k (n + 1), f.eval₂ (toStepSucc k n) x = 0 := by |
-- Porting note: original proof was `@AdjoinMonic.exists_root _ (Step.field k n) _ hfm hfi`,
-- but it timeouts.
obtain ⟨x, hx⟩ := @AdjoinMonic.exists_root _ (Step.field k n) _ hfm hfi
-- Porting note: using `hx` instead of `by apply hx` timeouts.
exact ⟨x, by apply hx⟩
|
import Mathlib.RingTheory.Flat.Basic
import Mathlib.RingTheory.IsTensorProduct
import Mathlib.LinearAlgebra.TensorProduct.Tower
universe u v w t
open Function (Injective Surjective)
open LinearMap (lsmul rTensor lTensor)
open TensorProduct
namespace Module.Flat
section Composition
variable (R : Type u) (S : Type v) (M : Type w)
[CommRing R] [CommRing S] [Algebra R S]
[AddCommGroup M] [Module R M] [Module S M] [IsScalarTower R S M]
private noncomputable abbrev auxRightMul (I : Ideal R) : M ⊗[R] I →ₗ[S] M := by
letI i : M ⊗[R] I →ₗ[S] M ⊗[R] R := AlgebraTensorModule.map LinearMap.id I.subtype
letI e' : M ⊗[R] R →ₗ[S] M := AlgebraTensorModule.rid R S M
exact AlgebraTensorModule.rid R S M ∘ₗ i
private noncomputable abbrev J (I : Ideal R) : Ideal S := LinearMap.range (auxRightMul R S S I)
private noncomputable abbrev auxIso [Module.Flat R S] {I : Ideal R} :
S ⊗[R] I ≃ₗ[S] J R S I := by
apply LinearEquiv.ofInjective (auxRightMul R S S I)
simp only [LinearMap.coe_comp, LinearEquiv.coe_coe, EquivLike.comp_injective]
exact (Module.Flat.iff_lTensor_injective' R S).mp inferInstance I
private noncomputable abbrev auxLTensor [Module.Flat R S] (I : Ideal R) :
M ⊗[R] I →ₗ[S] M := by
letI e1 : M ⊗[R] I ≃ₗ[S] M ⊗[S] (S ⊗[R] I) :=
(AlgebraTensorModule.cancelBaseChange R S S M I).symm
letI e2 : M ⊗[S] (S ⊗[R] I) ≃ₗ[S] M ⊗[S] (J R S I) :=
TensorProduct.congr (LinearEquiv.refl S M) (auxIso R S)
letI e3 : M ⊗[S] (J R S I) →ₗ[S] M ⊗[S] S := lTensor M (J R S I).subtype
letI e4 : M ⊗[S] S →ₗ[S] M := TensorProduct.rid S M
exact e4 ∘ₗ e3 ∘ₗ (e1 ≪≫ₗ e2)
private lemma auxLTensor_eq [Module.Flat R S] {I : Ideal R} :
(auxLTensor R S M I : M ⊗[R] I →ₗ[R] M) =
TensorProduct.rid R M ∘ₗ lTensor M (I.subtype) := by
apply TensorProduct.ext'
intro m x
erw [TensorProduct.rid_tmul]
simp
| Mathlib/RingTheory/Flat/Stability.lean | 86 | 94 | theorem comp [Module.Flat R S] [Module.Flat S M] : Module.Flat R M := by |
rw [Module.Flat.iff_lTensor_injective']
intro I
rw [← EquivLike.comp_injective _ (TensorProduct.rid R M)]
haveI h : TensorProduct.rid R M ∘ lTensor M (Submodule.subtype I) =
TensorProduct.rid R M ∘ₗ lTensor M I.subtype := rfl
simp only [h, ← auxLTensor_eq R S M, LinearMap.coe_restrictScalars, LinearMap.coe_comp,
LinearEquiv.coe_coe, EquivLike.comp_injective, EquivLike.injective_comp]
exact (Module.Flat.iff_lTensor_injective' S M).mp inferInstance _
|
import Mathlib.CategoryTheory.Sites.Sieves
#align_import category_theory.sites.sheaf_of_types from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe w v₁ v₂ u₁ u₂
namespace CategoryTheory
open Opposite CategoryTheory Category Limits Sieve
namespace Presieve
variable {C : Type u₁} [Category.{v₁} C]
variable {P Q U : Cᵒᵖ ⥤ Type w}
variable {X Y : C} {S : Sieve X} {R : Presieve X}
def FamilyOfElements (P : Cᵒᵖ ⥤ Type w) (R : Presieve X) :=
∀ ⦃Y : C⦄ (f : Y ⟶ X), R f → P.obj (op Y)
#align category_theory.presieve.family_of_elements CategoryTheory.Presieve.FamilyOfElements
instance : Inhabited (FamilyOfElements P (⊥ : Presieve X)) :=
⟨fun _ _ => False.elim⟩
def FamilyOfElements.restrict {R₁ R₂ : Presieve X} (h : R₁ ≤ R₂) :
FamilyOfElements P R₂ → FamilyOfElements P R₁ := fun x _ f hf => x f (h _ hf)
#align category_theory.presieve.family_of_elements.restrict CategoryTheory.Presieve.FamilyOfElements.restrict
def FamilyOfElements.map (p : FamilyOfElements P R) (φ : P ⟶ Q) :
FamilyOfElements Q R :=
fun _ f hf => φ.app _ (p f hf)
@[simp]
lemma FamilyOfElements.map_apply
(p : FamilyOfElements P R) (φ : P ⟶ Q) {Y : C} (f : Y ⟶ X) (hf : R f) :
p.map φ f hf = φ.app _ (p f hf) := rfl
lemma FamilyOfElements.restrict_map
(p : FamilyOfElements P R) (φ : P ⟶ Q) {R' : Presieve X} (h : R' ≤ R) :
(p.restrict h).map φ = (p.map φ).restrict h := rfl
def FamilyOfElements.Compatible (x : FamilyOfElements P R) : Prop :=
∀ ⦃Y₁ Y₂ Z⦄ (g₁ : Z ⟶ Y₁) (g₂ : Z ⟶ Y₂) ⦃f₁ : Y₁ ⟶ X⦄ ⦃f₂ : Y₂ ⟶ X⦄ (h₁ : R f₁) (h₂ : R f₂),
g₁ ≫ f₁ = g₂ ≫ f₂ → P.map g₁.op (x f₁ h₁) = P.map g₂.op (x f₂ h₂)
#align category_theory.presieve.family_of_elements.compatible CategoryTheory.Presieve.FamilyOfElements.Compatible
def FamilyOfElements.PullbackCompatible (x : FamilyOfElements P R) [R.hasPullbacks] : Prop :=
∀ ⦃Y₁ Y₂⦄ ⦃f₁ : Y₁ ⟶ X⦄ ⦃f₂ : Y₂ ⟶ X⦄ (h₁ : R f₁) (h₂ : R f₂),
haveI := hasPullbacks.has_pullbacks h₁ h₂
P.map (pullback.fst : Limits.pullback f₁ f₂ ⟶ _).op (x f₁ h₁) = P.map pullback.snd.op (x f₂ h₂)
#align category_theory.presieve.family_of_elements.pullback_compatible CategoryTheory.Presieve.FamilyOfElements.PullbackCompatible
theorem pullbackCompatible_iff (x : FamilyOfElements P R) [R.hasPullbacks] :
x.Compatible ↔ x.PullbackCompatible := by
constructor
· intro t Y₁ Y₂ f₁ f₂ hf₁ hf₂
apply t
haveI := hasPullbacks.has_pullbacks hf₁ hf₂
apply pullback.condition
· intro t Y₁ Y₂ Z g₁ g₂ f₁ f₂ hf₁ hf₂ comm
haveI := hasPullbacks.has_pullbacks hf₁ hf₂
rw [← pullback.lift_fst _ _ comm, op_comp, FunctorToTypes.map_comp_apply, t hf₁ hf₂,
← FunctorToTypes.map_comp_apply, ← op_comp, pullback.lift_snd]
#align category_theory.presieve.pullback_compatible_iff CategoryTheory.Presieve.pullbackCompatible_iff
theorem FamilyOfElements.Compatible.restrict {R₁ R₂ : Presieve X} (h : R₁ ≤ R₂)
{x : FamilyOfElements P R₂} : x.Compatible → (x.restrict h).Compatible :=
fun q _ _ _ g₁ g₂ _ _ h₁ h₂ comm => q g₁ g₂ (h _ h₁) (h _ h₂) comm
#align category_theory.presieve.family_of_elements.compatible.restrict CategoryTheory.Presieve.FamilyOfElements.Compatible.restrict
noncomputable def FamilyOfElements.sieveExtend (x : FamilyOfElements P R) :
FamilyOfElements P (generate R : Presieve X) := fun _ _ hf =>
P.map hf.choose_spec.choose.op (x _ hf.choose_spec.choose_spec.choose_spec.1)
#align category_theory.presieve.family_of_elements.sieve_extend CategoryTheory.Presieve.FamilyOfElements.sieveExtend
theorem FamilyOfElements.Compatible.sieveExtend {x : FamilyOfElements P R} (hx : x.Compatible) :
x.sieveExtend.Compatible := by
intro _ _ _ _ _ _ _ h₁ h₂ comm
iterate 2 erw [← FunctorToTypes.map_comp_apply]; rw [← op_comp]
apply hx
simp [comm, h₁.choose_spec.choose_spec.choose_spec.2, h₂.choose_spec.choose_spec.choose_spec.2]
#align category_theory.presieve.family_of_elements.compatible.sieve_extend CategoryTheory.Presieve.FamilyOfElements.Compatible.sieveExtend
theorem extend_agrees {x : FamilyOfElements P R} (t : x.Compatible) {f : Y ⟶ X} (hf : R f) :
x.sieveExtend f (le_generate R Y hf) = x f hf := by
have h := (le_generate R Y hf).choose_spec
unfold FamilyOfElements.sieveExtend
rw [t h.choose (𝟙 _) _ hf _]
· simp
· rw [id_comp]
exact h.choose_spec.choose_spec.2
#align category_theory.presieve.extend_agrees CategoryTheory.Presieve.extend_agrees
@[simp]
theorem restrict_extend {x : FamilyOfElements P R} (t : x.Compatible) :
x.sieveExtend.restrict (le_generate R) = x := by
funext Y f hf
exact extend_agrees t hf
#align category_theory.presieve.restrict_extend CategoryTheory.Presieve.restrict_extend
def FamilyOfElements.SieveCompatible (x : FamilyOfElements P (S : Presieve X)) : Prop :=
∀ ⦃Y Z⦄ (f : Y ⟶ X) (g : Z ⟶ Y) (hf), x (g ≫ f) (S.downward_closed hf g) = P.map g.op (x f hf)
#align category_theory.presieve.family_of_elements.sieve_compatible CategoryTheory.Presieve.FamilyOfElements.SieveCompatible
theorem compatible_iff_sieveCompatible (x : FamilyOfElements P (S : Presieve X)) :
x.Compatible ↔ x.SieveCompatible := by
constructor
· intro h Y Z f g hf
simpa using h (𝟙 _) g (S.downward_closed hf g) hf (id_comp _)
· intro h Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ k
simp_rw [← h f₁ g₁ h₁, ← h f₂ g₂ h₂]
congr
#align category_theory.presieve.compatible_iff_sieve_compatible CategoryTheory.Presieve.compatible_iff_sieveCompatible
theorem FamilyOfElements.Compatible.to_sieveCompatible {x : FamilyOfElements P (S : Presieve X)}
(t : x.Compatible) : x.SieveCompatible :=
(compatible_iff_sieveCompatible x).1 t
#align category_theory.presieve.family_of_elements.compatible.to_sieve_compatible CategoryTheory.Presieve.FamilyOfElements.Compatible.to_sieveCompatible
@[simp]
theorem extend_restrict {x : FamilyOfElements P (generate R)} (t : x.Compatible) :
(x.restrict (le_generate R)).sieveExtend = x := by
rw [compatible_iff_sieveCompatible] at t
funext _ _ h
apply (t _ _ _).symm.trans
congr
exact h.choose_spec.choose_spec.choose_spec.2
#align category_theory.presieve.extend_restrict CategoryTheory.Presieve.extend_restrict
theorem restrict_inj {x₁ x₂ : FamilyOfElements P (generate R)} (t₁ : x₁.Compatible)
(t₂ : x₂.Compatible) : x₁.restrict (le_generate R) = x₂.restrict (le_generate R) → x₁ = x₂ :=
fun h => by
rw [← extend_restrict t₁, ← extend_restrict t₂]
-- Porting note: congr fails to make progress
apply congr_arg
exact h
#align category_theory.presieve.restrict_inj CategoryTheory.Presieve.restrict_inj
@[simps]
noncomputable def compatibleEquivGenerateSieveCompatible :
{ x : FamilyOfElements P R // x.Compatible } ≃
{ x : FamilyOfElements P (generate R : Presieve X) // x.Compatible } where
toFun x := ⟨x.1.sieveExtend, x.2.sieveExtend⟩
invFun x := ⟨x.1.restrict (le_generate R), x.2.restrict _⟩
left_inv x := Subtype.ext (restrict_extend x.2)
right_inv x := Subtype.ext (extend_restrict x.2)
#align category_theory.presieve.compatible_equiv_generate_sieve_compatible CategoryTheory.Presieve.compatibleEquivGenerateSieveCompatible
theorem FamilyOfElements.comp_of_compatible (S : Sieve X) {x : FamilyOfElements P S}
(t : x.Compatible) {f : Y ⟶ X} (hf : S f) {Z} (g : Z ⟶ Y) :
x (g ≫ f) (S.downward_closed hf g) = P.map g.op (x f hf) := by
simpa using t (𝟙 _) g (S.downward_closed hf g) hf (id_comp _)
#align category_theory.presieve.family_of_elements.comp_of_compatible CategoryTheory.Presieve.FamilyOfElements.comp_of_compatible
noncomputable def FamilyOfElements.functorPushforward {D : Type u₂} [Category.{v₂} D] (F : D ⥤ C)
{X : D} {T : Presieve X} (x : FamilyOfElements (F.op ⋙ P) T) :
FamilyOfElements P (T.functorPushforward F) := fun Y f h => by
obtain ⟨Z, g, h, h₁, _⟩ := getFunctorPushforwardStructure h
exact P.map h.op (x g h₁)
#align category_theory.presieve.family_of_elements.functor_pushforward CategoryTheory.Presieve.FamilyOfElements.functorPushforward
def FamilyOfElements.compPresheafMap (f : P ⟶ Q) (x : FamilyOfElements P R) :
FamilyOfElements Q R := fun Y g hg => f.app (op Y) (x g hg)
#align category_theory.presieve.family_of_elements.comp_presheaf_map CategoryTheory.Presieve.FamilyOfElements.compPresheafMap
@[simp]
theorem FamilyOfElements.compPresheafMap_id (x : FamilyOfElements P R) :
x.compPresheafMap (𝟙 P) = x :=
rfl
#align category_theory.presieve.family_of_elements.comp_presheaf_map_id CategoryTheory.Presieve.FamilyOfElements.compPresheafMap_id
@[simp]
theorem FamilyOfElements.compPresheafMap_comp (x : FamilyOfElements P R) (f : P ⟶ Q)
(g : Q ⟶ U) : (x.compPresheafMap f).compPresheafMap g = x.compPresheafMap (f ≫ g) :=
rfl
#align category_theory.presieve.family_of_elements.comp_prersheaf_map_comp CategoryTheory.Presieve.FamilyOfElements.compPresheafMap_comp
theorem FamilyOfElements.Compatible.compPresheafMap (f : P ⟶ Q) {x : FamilyOfElements P R}
(h : x.Compatible) : (x.compPresheafMap f).Compatible := by
intro Z₁ Z₂ W g₁ g₂ f₁ f₂ h₁ h₂ eq
unfold FamilyOfElements.compPresheafMap
rwa [← FunctorToTypes.naturality, ← FunctorToTypes.naturality, h]
#align category_theory.presieve.family_of_elements.compatible.comp_presheaf_map CategoryTheory.Presieve.FamilyOfElements.Compatible.compPresheafMap
def FamilyOfElements.IsAmalgamation (x : FamilyOfElements P R) (t : P.obj (op X)) : Prop :=
∀ ⦃Y : C⦄ (f : Y ⟶ X) (h : R f), P.map f.op t = x f h
#align category_theory.presieve.family_of_elements.is_amalgamation CategoryTheory.Presieve.FamilyOfElements.IsAmalgamation
theorem FamilyOfElements.IsAmalgamation.compPresheafMap {x : FamilyOfElements P R} {t} (f : P ⟶ Q)
(h : x.IsAmalgamation t) : (x.compPresheafMap f).IsAmalgamation (f.app (op X) t) := by
intro Y g hg
dsimp [FamilyOfElements.compPresheafMap]
change (f.app _ ≫ Q.map _) _ = _
rw [← f.naturality, types_comp_apply, h g hg]
#align category_theory.presieve.family_of_elements.is_amalgamation.comp_presheaf_map CategoryTheory.Presieve.FamilyOfElements.IsAmalgamation.compPresheafMap
theorem is_compatible_of_exists_amalgamation (x : FamilyOfElements P R)
(h : ∃ t, x.IsAmalgamation t) : x.Compatible := by
cases' h with t ht
intro Y₁ Y₂ Z g₁ g₂ f₁ f₂ h₁ h₂ comm
rw [← ht _ h₁, ← ht _ h₂, ← FunctorToTypes.map_comp_apply, ← op_comp, comm]
simp
#align category_theory.presieve.is_compatible_of_exists_amalgamation CategoryTheory.Presieve.is_compatible_of_exists_amalgamation
theorem isAmalgamation_restrict {R₁ R₂ : Presieve X} (h : R₁ ≤ R₂) (x : FamilyOfElements P R₂)
(t : P.obj (op X)) (ht : x.IsAmalgamation t) : (x.restrict h).IsAmalgamation t := fun Y f hf =>
ht f (h Y hf)
#align category_theory.presieve.is_amalgamation_restrict CategoryTheory.Presieve.isAmalgamation_restrict
theorem isAmalgamation_sieveExtend {R : Presieve X} (x : FamilyOfElements P R) (t : P.obj (op X))
(ht : x.IsAmalgamation t) : x.sieveExtend.IsAmalgamation t := by
intro Y f hf
dsimp [FamilyOfElements.sieveExtend]
rw [← ht _, ← FunctorToTypes.map_comp_apply, ← op_comp, hf.choose_spec.choose_spec.choose_spec.2]
#align category_theory.presieve.is_amalgamation_sieve_extend CategoryTheory.Presieve.isAmalgamation_sieveExtend
def IsSeparatedFor (P : Cᵒᵖ ⥤ Type w) (R : Presieve X) : Prop :=
∀ (x : FamilyOfElements P R) (t₁ t₂), x.IsAmalgamation t₁ → x.IsAmalgamation t₂ → t₁ = t₂
#align category_theory.presieve.is_separated_for CategoryTheory.Presieve.IsSeparatedFor
theorem IsSeparatedFor.ext {R : Presieve X} (hR : IsSeparatedFor P R) {t₁ t₂ : P.obj (op X)}
(h : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄ (_ : R f), P.map f.op t₁ = P.map f.op t₂) : t₁ = t₂ :=
hR (fun _ f _ => P.map f.op t₂) t₁ t₂ (fun _ _ hf => h hf) fun _ _ _ => rfl
#align category_theory.presieve.is_separated_for.ext CategoryTheory.Presieve.IsSeparatedFor.ext
theorem isSeparatedFor_iff_generate :
IsSeparatedFor P R ↔ IsSeparatedFor P (generate R : Presieve X) := by
constructor
· intro h x t₁ t₂ ht₁ ht₂
apply h (x.restrict (le_generate R)) t₁ t₂ _ _
· exact isAmalgamation_restrict _ x t₁ ht₁
· exact isAmalgamation_restrict _ x t₂ ht₂
· intro h x t₁ t₂ ht₁ ht₂
apply h x.sieveExtend
· exact isAmalgamation_sieveExtend x t₁ ht₁
· exact isAmalgamation_sieveExtend x t₂ ht₂
#align category_theory.presieve.is_separated_for_iff_generate CategoryTheory.Presieve.isSeparatedFor_iff_generate
theorem isSeparatedFor_top (P : Cᵒᵖ ⥤ Type w) : IsSeparatedFor P (⊤ : Presieve X) :=
fun x t₁ t₂ h₁ h₂ => by
have q₁ := h₁ (𝟙 X) (by tauto)
have q₂ := h₂ (𝟙 X) (by tauto)
simp only [op_id, FunctorToTypes.map_id_apply] at q₁ q₂
rw [q₁, q₂]
#align category_theory.presieve.is_separated_for_top CategoryTheory.Presieve.isSeparatedFor_top
def IsSheafFor (P : Cᵒᵖ ⥤ Type w) (R : Presieve X) : Prop :=
∀ x : FamilyOfElements P R, x.Compatible → ∃! t, x.IsAmalgamation t
#align category_theory.presieve.is_sheaf_for CategoryTheory.Presieve.IsSheafFor
def YonedaSheafCondition (P : Cᵒᵖ ⥤ Type v₁) (S : Sieve X) : Prop :=
∀ f : S.functor ⟶ P, ∃! g, S.functorInclusion ≫ g = f
#align category_theory.presieve.yoneda_sheaf_condition CategoryTheory.Presieve.YonedaSheafCondition
-- TODO: We can generalize the universe parameter v₁ above by composing with
-- appropriate `ulift_functor`s.
def natTransEquivCompatibleFamily {P : Cᵒᵖ ⥤ Type v₁} :
(S.functor ⟶ P) ≃ { x : FamilyOfElements P (S : Presieve X) // x.Compatible } where
toFun α := by
refine ⟨fun Y f hf => ?_, ?_⟩
· apply α.app (op Y) ⟨_, hf⟩
· rw [compatible_iff_sieveCompatible]
intro Y Z f g hf
dsimp
rw [← FunctorToTypes.naturality _ _ α g.op]
rfl
invFun t :=
{ app := fun Y f => t.1 _ f.2
naturality := fun Y Z g => by
ext ⟨f, hf⟩
apply t.2.to_sieveCompatible _ }
left_inv α := by
ext X ⟨_, _⟩
rfl
right_inv := by
rintro ⟨x, hx⟩
rfl
#align category_theory.presieve.nat_trans_equiv_compatible_family CategoryTheory.Presieve.natTransEquivCompatibleFamily
theorem extension_iff_amalgamation {P : Cᵒᵖ ⥤ Type v₁} (x : S.functor ⟶ P) (g : yoneda.obj X ⟶ P) :
S.functorInclusion ≫ g = x ↔
(natTransEquivCompatibleFamily x).1.IsAmalgamation (yonedaEquiv g) := by
change _ ↔ ∀ ⦃Y : C⦄ (f : Y ⟶ X) (h : S f), P.map f.op (yonedaEquiv g) = x.app (op Y) ⟨f, h⟩
constructor
· rintro rfl Y f hf
rw [yonedaEquiv_naturality]
dsimp
simp [yonedaEquiv_apply]
-- See note [dsimp, simp].
· intro h
ext Y ⟨f, hf⟩
convert h f hf
rw [yonedaEquiv_naturality]
dsimp [yonedaEquiv]
simp
#align category_theory.presieve.extension_iff_amalgamation CategoryTheory.Presieve.extension_iff_amalgamation
theorem isSheafFor_iff_yonedaSheafCondition {P : Cᵒᵖ ⥤ Type v₁} :
IsSheafFor P (S : Presieve X) ↔ YonedaSheafCondition P S := by
rw [IsSheafFor, YonedaSheafCondition]
simp_rw [extension_iff_amalgamation]
rw [Equiv.forall_congr_left' natTransEquivCompatibleFamily]
rw [Subtype.forall]
apply forall₂_congr
intro x hx
rw [Equiv.exists_unique_congr_left _]
simp
#align category_theory.presieve.is_sheaf_for_iff_yoneda_sheaf_condition CategoryTheory.Presieve.isSheafFor_iff_yonedaSheafCondition
noncomputable def IsSheafFor.extend {P : Cᵒᵖ ⥤ Type v₁} (h : IsSheafFor P (S : Presieve X))
(f : S.functor ⟶ P) : yoneda.obj X ⟶ P :=
(isSheafFor_iff_yonedaSheafCondition.1 h f).exists.choose
#align category_theory.presieve.is_sheaf_for.extend CategoryTheory.Presieve.IsSheafFor.extend
@[reassoc (attr := simp)]
theorem IsSheafFor.functorInclusion_comp_extend {P : Cᵒᵖ ⥤ Type v₁} (h : IsSheafFor P S)
(f : S.functor ⟶ P) : S.functorInclusion ≫ h.extend f = f :=
(isSheafFor_iff_yonedaSheafCondition.1 h f).exists.choose_spec
#align category_theory.presieve.is_sheaf_for.functor_inclusion_comp_extend CategoryTheory.Presieve.IsSheafFor.functorInclusion_comp_extend
theorem IsSheafFor.unique_extend {P : Cᵒᵖ ⥤ Type v₁} (h : IsSheafFor P S) {f : S.functor ⟶ P}
(t : yoneda.obj X ⟶ P) (ht : S.functorInclusion ≫ t = f) : t = h.extend f :=
(isSheafFor_iff_yonedaSheafCondition.1 h f).unique ht (h.functorInclusion_comp_extend f)
#align category_theory.presieve.is_sheaf_for.unique_extend CategoryTheory.Presieve.IsSheafFor.unique_extend
theorem IsSheafFor.hom_ext {P : Cᵒᵖ ⥤ Type v₁} (h : IsSheafFor P (S : Presieve X))
(t₁ t₂ : yoneda.obj X ⟶ P) (ht : S.functorInclusion ≫ t₁ = S.functorInclusion ≫ t₂) :
t₁ = t₂ :=
(h.unique_extend t₁ ht).trans (h.unique_extend t₂ rfl).symm
#align category_theory.presieve.is_sheaf_for.hom_ext CategoryTheory.Presieve.IsSheafFor.hom_ext
theorem isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor :
(IsSeparatedFor P R ∧ ∀ x : FamilyOfElements P R, x.Compatible → ∃ t, x.IsAmalgamation t) ↔
IsSheafFor P R := by
rw [IsSeparatedFor, ← forall_and]
apply forall_congr'
intro x
constructor
· intro z hx
exact exists_unique_of_exists_of_unique (z.2 hx) z.1
· intro h
refine ⟨?_, ExistsUnique.exists ∘ h⟩
intro t₁ t₂ ht₁ ht₂
apply (h _).unique ht₁ ht₂
exact is_compatible_of_exists_amalgamation x ⟨_, ht₂⟩
#align category_theory.presieve.is_separated_for_and_exists_is_amalgamation_iff_sheaf_for CategoryTheory.Presieve.isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor
theorem IsSeparatedFor.isSheafFor (t : IsSeparatedFor P R) :
(∀ x : FamilyOfElements P R, x.Compatible → ∃ t, x.IsAmalgamation t) → IsSheafFor P R := by
rw [← isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor]
exact And.intro t
#align category_theory.presieve.is_separated_for.is_sheaf_for CategoryTheory.Presieve.IsSeparatedFor.isSheafFor
theorem IsSheafFor.isSeparatedFor : IsSheafFor P R → IsSeparatedFor P R := fun q =>
(isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor.2 q).1
#align category_theory.presieve.is_sheaf_for.is_separated_for CategoryTheory.Presieve.IsSheafFor.isSeparatedFor
noncomputable def IsSheafFor.amalgamate (t : IsSheafFor P R) (x : FamilyOfElements P R)
(hx : x.Compatible) : P.obj (op X) :=
(t x hx).exists.choose
#align category_theory.presieve.is_sheaf_for.amalgamate CategoryTheory.Presieve.IsSheafFor.amalgamate
theorem IsSheafFor.isAmalgamation (t : IsSheafFor P R) {x : FamilyOfElements P R}
(hx : x.Compatible) : x.IsAmalgamation (t.amalgamate x hx) :=
(t x hx).exists.choose_spec
#align category_theory.presieve.is_sheaf_for.is_amalgamation CategoryTheory.Presieve.IsSheafFor.isAmalgamation
@[simp]
theorem IsSheafFor.valid_glue (t : IsSheafFor P R) {x : FamilyOfElements P R} (hx : x.Compatible)
(f : Y ⟶ X) (Hf : R f) : P.map f.op (t.amalgamate x hx) = x f Hf :=
t.isAmalgamation hx f Hf
#align category_theory.presieve.is_sheaf_for.valid_glue CategoryTheory.Presieve.IsSheafFor.valid_glue
theorem isSheafFor_iff_generate (R : Presieve X) :
IsSheafFor P R ↔ IsSheafFor P (generate R : Presieve X) := by
rw [← isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor]
rw [← isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor]
rw [← isSeparatedFor_iff_generate]
apply and_congr (Iff.refl _)
constructor
· intro q x hx
apply Exists.imp _ (q _ (hx.restrict (le_generate R)))
intro t ht
simpa [hx] using isAmalgamation_sieveExtend _ _ ht
· intro q x hx
apply Exists.imp _ (q _ hx.sieveExtend)
intro t ht
simpa [hx] using isAmalgamation_restrict (le_generate R) _ _ ht
#align category_theory.presieve.is_sheaf_for_iff_generate CategoryTheory.Presieve.isSheafFor_iff_generate
theorem isSheafFor_singleton_iso (P : Cᵒᵖ ⥤ Type w) : IsSheafFor P (Presieve.singleton (𝟙 X)) := by
intro x _
refine ⟨x _ (Presieve.singleton_self _), ?_, ?_⟩
· rintro _ _ ⟨rfl, rfl⟩
simp
· intro t ht
simpa using ht _ (Presieve.singleton_self _)
#align category_theory.presieve.is_sheaf_for_singleton_iso CategoryTheory.Presieve.isSheafFor_singletonₓ_iso
theorem isSheafFor_top_sieve (P : Cᵒᵖ ⥤ Type w) : IsSheafFor P ((⊤ : Sieve X) : Presieve X) := by
rw [← generate_of_singleton_isSplitEpi (𝟙 X)]
rw [← isSheafFor_iff_generate]
apply isSheafFor_singleton_iso
#align category_theory.presieve.is_sheaf_for_top_sieve CategoryTheory.Presieve.isSheafFor_top_sieve
theorem isSheafFor_iso {P' : Cᵒᵖ ⥤ Type w} (i : P ≅ P') : IsSheafFor P R → IsSheafFor P' R := by
intro h x hx
let x' := x.compPresheafMap i.inv
have : x'.Compatible := FamilyOfElements.Compatible.compPresheafMap i.inv hx
obtain ⟨t, ht1, ht2⟩ := h x' this
use i.hom.app _ t
fconstructor
· convert FamilyOfElements.IsAmalgamation.compPresheafMap i.hom ht1
simp [x']
· intro y hy
rw [show y = (i.inv.app (op X) ≫ i.hom.app (op X)) y by simp]
simp [ht2 (i.inv.app _ y) (FamilyOfElements.IsAmalgamation.compPresheafMap i.inv hy)]
#align category_theory.presieve.is_sheaf_for_iso CategoryTheory.Presieve.isSheafFor_iso
| Mathlib/CategoryTheory/Sites/IsSheafFor.lean | 689 | 706 | theorem isSheafFor_subsieve_aux (P : Cᵒᵖ ⥤ Type w) {S : Sieve X} {R : Presieve X}
(h : (S : Presieve X) ≤ R) (hS : IsSheafFor P (S : Presieve X))
(trans : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, R f → IsSeparatedFor P (S.pullback f : Presieve Y)) :
IsSheafFor P R := by |
rw [← isSeparatedFor_and_exists_isAmalgamation_iff_isSheafFor]
constructor
· intro x t₁ t₂ ht₁ ht₂
exact
hS.isSeparatedFor _ _ _ (isAmalgamation_restrict h x t₁ ht₁)
(isAmalgamation_restrict h x t₂ ht₂)
· intro x hx
use hS.amalgamate _ (hx.restrict h)
intro W j hj
apply (trans hj).ext
intro Y f hf
rw [← FunctorToTypes.map_comp_apply, ← op_comp, hS.valid_glue (hx.restrict h) _ hf,
FamilyOfElements.restrict, ← hx (𝟙 _) f (h _ hf) _ (id_comp _)]
simp
|
import Mathlib.CategoryTheory.Monoidal.Free.Basic
import Mathlib.CategoryTheory.Groupoid
import Mathlib.CategoryTheory.DiscreteCategory
#align_import category_theory.monoidal.free.coherence from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff"
universe u
namespace CategoryTheory
open MonoidalCategory
namespace FreeMonoidalCategory
variable {C : Type u}
section
variable (C)
-- porting note (#5171): removed @[nolint has_nonempty_instance]
inductive NormalMonoidalObject : Type u
| unit : NormalMonoidalObject
| tensor : NormalMonoidalObject → C → NormalMonoidalObject
#align category_theory.free_monoidal_category.normal_monoidal_object CategoryTheory.FreeMonoidalCategory.NormalMonoidalObject
end
local notation "F" => FreeMonoidalCategory
local notation "N" => Discrete ∘ NormalMonoidalObject
local infixr:10 " ⟶ᵐ " => Hom
-- Porting note: this was automatic in mathlib 3
instance (x y : N C) : Subsingleton (x ⟶ y) := Discrete.instSubsingletonDiscreteHom _ _
@[simp]
def inclusionObj : NormalMonoidalObject C → F C
| NormalMonoidalObject.unit => unit
| NormalMonoidalObject.tensor n a => tensor (inclusionObj n) (of a)
#align category_theory.free_monoidal_category.inclusion_obj CategoryTheory.FreeMonoidalCategory.inclusionObj
def inclusion : N C ⥤ F C :=
Discrete.functor inclusionObj
#align category_theory.free_monoidal_category.inclusion CategoryTheory.FreeMonoidalCategory.inclusion
@[simp]
theorem inclusion_obj (X : N C) :
inclusion.obj X = inclusionObj X.as :=
rfl
@[simp]
theorem inclusion_map {X Y : N C} (f : X ⟶ Y) :
inclusion.map f = eqToHom (congr_arg _ (Discrete.ext _ _ (Discrete.eq_of_hom f))) := by
rcases f with ⟨⟨⟩⟩
cases Discrete.ext _ _ (by assumption)
apply inclusion.map_id
def normalizeObj : F C → NormalMonoidalObject C → NormalMonoidalObject C
| unit, n => n
| of X, n => NormalMonoidalObject.tensor n X
| tensor X Y, n => normalizeObj Y (normalizeObj X n)
#align category_theory.free_monoidal_category.normalize_obj CategoryTheory.FreeMonoidalCategory.normalizeObj
@[simp]
theorem normalizeObj_unitor (n : NormalMonoidalObject C) : normalizeObj (𝟙_ (F C)) n = n :=
rfl
#align category_theory.free_monoidal_category.normalize_obj_unitor CategoryTheory.FreeMonoidalCategory.normalizeObj_unitor
@[simp]
theorem normalizeObj_tensor (X Y : F C) (n : NormalMonoidalObject C) :
normalizeObj (X ⊗ Y) n = normalizeObj Y (normalizeObj X n) :=
rfl
#align category_theory.free_monoidal_category.normalize_obj_tensor CategoryTheory.FreeMonoidalCategory.normalizeObj_tensor
def normalizeObj' (X : F C) : N C ⥤ N C := Discrete.functor fun n ↦ ⟨normalizeObj X n⟩
section
open Hom
@[simp]
def normalizeMapAux : ∀ {X Y : F C}, (X ⟶ᵐ Y) → (normalizeObj' X ⟶ normalizeObj' Y)
| _, _, Hom.id _ => 𝟙 _
| _, _, α_hom X Y Z => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, α_inv _ _ _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, l_hom _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, l_inv _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, ρ_hom _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, ρ_inv _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, (@comp _ _ _ _ f g) => normalizeMapAux f ≫ normalizeMapAux g
| _, _, (@Hom.tensor _ T _ _ W f g) =>
Discrete.natTrans <| fun ⟨X⟩ => (normalizeMapAux g).app ⟨normalizeObj T X⟩ ≫
(normalizeObj' W).map ((normalizeMapAux f).app ⟨X⟩)
| _, _, (@Hom.whiskerLeft _ T _ W f) =>
Discrete.natTrans <| fun ⟨X⟩ => (normalizeMapAux f).app ⟨normalizeObj T X⟩
| _, _, (@Hom.whiskerRight _ T _ f W) =>
Discrete.natTrans <| fun X => (normalizeObj' W).map <| (normalizeMapAux f).app X
#align category_theory.free_monoidal_category.normalize_map_aux CategoryTheory.FreeMonoidalCategory.normalizeMapAux
end
section
variable (C)
@[simp]
def normalize : F C ⥤ N C ⥤ N C where
obj X := normalizeObj' X
map {X Y} := Quotient.lift normalizeMapAux (by aesop_cat)
#align category_theory.free_monoidal_category.normalize CategoryTheory.FreeMonoidalCategory.normalize
@[simp]
def normalize' : F C ⥤ N C ⥤ F C :=
normalize C ⋙ (whiskeringRight _ _ _).obj inclusion
#align category_theory.free_monoidal_category.normalize' CategoryTheory.FreeMonoidalCategory.normalize'
def fullNormalize : F C ⥤ N C where
obj X := ((normalize C).obj X).obj ⟨NormalMonoidalObject.unit⟩
map f := ((normalize C).map f).app ⟨NormalMonoidalObject.unit⟩
#align category_theory.free_monoidal_category.full_normalize CategoryTheory.FreeMonoidalCategory.fullNormalize
@[simp]
def tensorFunc : F C ⥤ N C ⥤ F C where
obj X := Discrete.functor fun n => inclusion.obj ⟨n⟩ ⊗ X
map f := Discrete.natTrans (fun n => _ ◁ f)
#align category_theory.free_monoidal_category.tensor_func CategoryTheory.FreeMonoidalCategory.tensorFunc
theorem tensorFunc_map_app {X Y : F C} (f : X ⟶ Y) (n) : ((tensorFunc C).map f).app n = _ ◁ f :=
rfl
#align category_theory.free_monoidal_category.tensor_func_map_app CategoryTheory.FreeMonoidalCategory.tensorFunc_map_app
| Mathlib/CategoryTheory/Monoidal/Free/Coherence.lean | 184 | 191 | theorem tensorFunc_obj_map (Z : F C) {n n' : N C} (f : n ⟶ n') :
((tensorFunc C).obj Z).map f = inclusion.map f ▷ Z := by |
cases n
cases n'
rcases f with ⟨⟨h⟩⟩
dsimp at h
subst h
simp
|
import Mathlib.Probability.Variance
import Mathlib.MeasureTheory.Function.UniformIntegrable
#align_import probability.ident_distrib from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open MeasureTheory Filter Finset
noncomputable section
open scoped Topology MeasureTheory ENNReal NNReal
variable {α β γ δ : Type*} [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ]
[MeasurableSpace δ]
namespace ProbabilityTheory
structure IdentDistrib (f : α → γ) (g : β → γ)
(μ : Measure α := by volume_tac)
(ν : Measure β := by volume_tac) : Prop where
aemeasurable_fst : AEMeasurable f μ
aemeasurable_snd : AEMeasurable g ν
map_eq : Measure.map f μ = Measure.map g ν
#align probability_theory.ident_distrib ProbabilityTheory.IdentDistrib
namespace IdentDistrib
open TopologicalSpace
variable {μ : Measure α} {ν : Measure β} {f : α → γ} {g : β → γ}
protected theorem refl (hf : AEMeasurable f μ) : IdentDistrib f f μ μ :=
{ aemeasurable_fst := hf
aemeasurable_snd := hf
map_eq := rfl }
#align probability_theory.ident_distrib.refl ProbabilityTheory.IdentDistrib.refl
protected theorem symm (h : IdentDistrib f g μ ν) : IdentDistrib g f ν μ :=
{ aemeasurable_fst := h.aemeasurable_snd
aemeasurable_snd := h.aemeasurable_fst
map_eq := h.map_eq.symm }
#align probability_theory.ident_distrib.symm ProbabilityTheory.IdentDistrib.symm
protected theorem trans {ρ : Measure δ} {h : δ → γ} (h₁ : IdentDistrib f g μ ν)
(h₂ : IdentDistrib g h ν ρ) : IdentDistrib f h μ ρ :=
{ aemeasurable_fst := h₁.aemeasurable_fst
aemeasurable_snd := h₂.aemeasurable_snd
map_eq := h₁.map_eq.trans h₂.map_eq }
#align probability_theory.ident_distrib.trans ProbabilityTheory.IdentDistrib.trans
protected theorem comp_of_aemeasurable {u : γ → δ} (h : IdentDistrib f g μ ν)
(hu : AEMeasurable u (Measure.map f μ)) : IdentDistrib (u ∘ f) (u ∘ g) μ ν :=
{ aemeasurable_fst := hu.comp_aemeasurable h.aemeasurable_fst
aemeasurable_snd := by rw [h.map_eq] at hu; exact hu.comp_aemeasurable h.aemeasurable_snd
map_eq := by
rw [← AEMeasurable.map_map_of_aemeasurable hu h.aemeasurable_fst, ←
AEMeasurable.map_map_of_aemeasurable _ h.aemeasurable_snd, h.map_eq]
rwa [← h.map_eq] }
#align probability_theory.ident_distrib.comp_of_ae_measurable ProbabilityTheory.IdentDistrib.comp_of_aemeasurable
protected theorem comp {u : γ → δ} (h : IdentDistrib f g μ ν) (hu : Measurable u) :
IdentDistrib (u ∘ f) (u ∘ g) μ ν :=
h.comp_of_aemeasurable hu.aemeasurable
#align probability_theory.ident_distrib.comp ProbabilityTheory.IdentDistrib.comp
protected theorem of_ae_eq {g : α → γ} (hf : AEMeasurable f μ) (heq : f =ᵐ[μ] g) :
IdentDistrib f g μ μ :=
{ aemeasurable_fst := hf
aemeasurable_snd := hf.congr heq
map_eq := Measure.map_congr heq }
#align probability_theory.ident_distrib.of_ae_eq ProbabilityTheory.IdentDistrib.of_ae_eq
lemma _root_.MeasureTheory.AEMeasurable.identDistrib_mk
(hf : AEMeasurable f μ) : IdentDistrib f (hf.mk f) μ μ :=
IdentDistrib.of_ae_eq hf hf.ae_eq_mk
lemma _root_.MeasureTheory.AEStronglyMeasurable.identDistrib_mk
[TopologicalSpace γ] [PseudoMetrizableSpace γ] [BorelSpace γ]
(hf : AEStronglyMeasurable f μ) : IdentDistrib f (hf.mk f) μ μ :=
IdentDistrib.of_ae_eq hf.aemeasurable hf.ae_eq_mk
theorem measure_mem_eq (h : IdentDistrib f g μ ν) {s : Set γ} (hs : MeasurableSet s) :
μ (f ⁻¹' s) = ν (g ⁻¹' s) := by
rw [← Measure.map_apply_of_aemeasurable h.aemeasurable_fst hs, ←
Measure.map_apply_of_aemeasurable h.aemeasurable_snd hs, h.map_eq]
#align probability_theory.ident_distrib.measure_mem_eq ProbabilityTheory.IdentDistrib.measure_mem_eq
alias measure_preimage_eq := measure_mem_eq
#align probability_theory.ident_distrib.measure_preimage_eq ProbabilityTheory.IdentDistrib.measure_preimage_eq
theorem ae_snd (h : IdentDistrib f g μ ν) {p : γ → Prop} (pmeas : MeasurableSet {x | p x})
(hp : ∀ᵐ x ∂μ, p (f x)) : ∀ᵐ x ∂ν, p (g x) := by
apply (ae_map_iff h.aemeasurable_snd pmeas).1
rw [← h.map_eq]
exact (ae_map_iff h.aemeasurable_fst pmeas).2 hp
#align probability_theory.ident_distrib.ae_snd ProbabilityTheory.IdentDistrib.ae_snd
theorem ae_mem_snd (h : IdentDistrib f g μ ν) {t : Set γ} (tmeas : MeasurableSet t)
(ht : ∀ᵐ x ∂μ, f x ∈ t) : ∀ᵐ x ∂ν, g x ∈ t :=
h.ae_snd tmeas ht
#align probability_theory.ident_distrib.ae_mem_snd ProbabilityTheory.IdentDistrib.ae_mem_snd
theorem aestronglyMeasurable_fst [TopologicalSpace γ] [MetrizableSpace γ] [OpensMeasurableSpace γ]
[SecondCountableTopology γ] (h : IdentDistrib f g μ ν) : AEStronglyMeasurable f μ :=
h.aemeasurable_fst.aestronglyMeasurable
#align probability_theory.ident_distrib.ae_strongly_measurable_fst ProbabilityTheory.IdentDistrib.aestronglyMeasurable_fst
theorem aestronglyMeasurable_snd [TopologicalSpace γ] [MetrizableSpace γ] [BorelSpace γ]
(h : IdentDistrib f g μ ν) (hf : AEStronglyMeasurable f μ) : AEStronglyMeasurable g ν := by
refine aestronglyMeasurable_iff_aemeasurable_separable.2 ⟨h.aemeasurable_snd, ?_⟩
rcases (aestronglyMeasurable_iff_aemeasurable_separable.1 hf).2 with ⟨t, t_sep, ht⟩
refine ⟨closure t, t_sep.closure, ?_⟩
apply h.ae_mem_snd isClosed_closure.measurableSet
filter_upwards [ht] with x hx using subset_closure hx
#align probability_theory.ident_distrib.ae_strongly_measurable_snd ProbabilityTheory.IdentDistrib.aestronglyMeasurable_snd
theorem aestronglyMeasurable_iff [TopologicalSpace γ] [MetrizableSpace γ] [BorelSpace γ]
(h : IdentDistrib f g μ ν) : AEStronglyMeasurable f μ ↔ AEStronglyMeasurable g ν :=
⟨fun hf => h.aestronglyMeasurable_snd hf, fun hg => h.symm.aestronglyMeasurable_snd hg⟩
#align probability_theory.ident_distrib.ae_strongly_measurable_iff ProbabilityTheory.IdentDistrib.aestronglyMeasurable_iff
theorem essSup_eq [ConditionallyCompleteLinearOrder γ] [TopologicalSpace γ] [OpensMeasurableSpace γ]
[OrderClosedTopology γ] (h : IdentDistrib f g μ ν) : essSup f μ = essSup g ν := by
have I : ∀ a, μ {x : α | a < f x} = ν {x : β | a < g x} := fun a =>
h.measure_mem_eq measurableSet_Ioi
simp_rw [essSup_eq_sInf, I]
#align probability_theory.ident_distrib.ess_sup_eq ProbabilityTheory.IdentDistrib.essSup_eq
theorem lintegral_eq {f : α → ℝ≥0∞} {g : β → ℝ≥0∞} (h : IdentDistrib f g μ ν) :
∫⁻ x, f x ∂μ = ∫⁻ x, g x ∂ν := by
change ∫⁻ x, id (f x) ∂μ = ∫⁻ x, id (g x) ∂ν
rw [← lintegral_map' aemeasurable_id h.aemeasurable_fst, ←
lintegral_map' aemeasurable_id h.aemeasurable_snd, h.map_eq]
#align probability_theory.ident_distrib.lintegral_eq ProbabilityTheory.IdentDistrib.lintegral_eq
theorem integral_eq [NormedAddCommGroup γ] [NormedSpace ℝ γ] [BorelSpace γ]
(h : IdentDistrib f g μ ν) : ∫ x, f x ∂μ = ∫ x, g x ∂ν := by
by_cases hf : AEStronglyMeasurable f μ
· have A : AEStronglyMeasurable id (Measure.map f μ) := by
rw [aestronglyMeasurable_iff_aemeasurable_separable]
rcases (aestronglyMeasurable_iff_aemeasurable_separable.1 hf).2 with ⟨t, t_sep, ht⟩
refine ⟨aemeasurable_id, ⟨closure t, t_sep.closure, ?_⟩⟩
rw [ae_map_iff h.aemeasurable_fst]
· filter_upwards [ht] with x hx using subset_closure hx
· exact isClosed_closure.measurableSet
change ∫ x, id (f x) ∂μ = ∫ x, id (g x) ∂ν
rw [← integral_map h.aemeasurable_fst A]
rw [h.map_eq] at A
rw [← integral_map h.aemeasurable_snd A, h.map_eq]
· rw [integral_non_aestronglyMeasurable hf]
rw [h.aestronglyMeasurable_iff] at hf
rw [integral_non_aestronglyMeasurable hf]
#align probability_theory.ident_distrib.integral_eq ProbabilityTheory.IdentDistrib.integral_eq
theorem snorm_eq [NormedAddCommGroup γ] [OpensMeasurableSpace γ] (h : IdentDistrib f g μ ν)
(p : ℝ≥0∞) : snorm f p μ = snorm g p ν := by
by_cases h0 : p = 0
· simp [h0]
by_cases h_top : p = ∞
· simp only [h_top, snorm, snormEssSup, ENNReal.top_ne_zero, eq_self_iff_true, if_true, if_false]
apply essSup_eq
exact h.comp (measurable_coe_nnreal_ennreal.comp measurable_nnnorm)
simp only [snorm_eq_snorm' h0 h_top, snorm', one_div]
congr 1
apply lintegral_eq
exact h.comp (Measurable.pow_const (measurable_coe_nnreal_ennreal.comp measurable_nnnorm)
p.toReal)
#align probability_theory.ident_distrib.snorm_eq ProbabilityTheory.IdentDistrib.snorm_eq
theorem memℒp_snd [NormedAddCommGroup γ] [BorelSpace γ] {p : ℝ≥0∞} (h : IdentDistrib f g μ ν)
(hf : Memℒp f p μ) : Memℒp g p ν := by
refine ⟨h.aestronglyMeasurable_snd hf.aestronglyMeasurable, ?_⟩
rw [← h.snorm_eq]
exact hf.2
#align probability_theory.ident_distrib.mem_ℒp_snd ProbabilityTheory.IdentDistrib.memℒp_snd
theorem memℒp_iff [NormedAddCommGroup γ] [BorelSpace γ] {p : ℝ≥0∞} (h : IdentDistrib f g μ ν) :
Memℒp f p μ ↔ Memℒp g p ν :=
⟨fun hf => h.memℒp_snd hf, fun hg => h.symm.memℒp_snd hg⟩
#align probability_theory.ident_distrib.mem_ℒp_iff ProbabilityTheory.IdentDistrib.memℒp_iff
| Mathlib/Probability/IdentDistrib.lean | 236 | 239 | theorem integrable_snd [NormedAddCommGroup γ] [BorelSpace γ] (h : IdentDistrib f g μ ν)
(hf : Integrable f μ) : Integrable g ν := by |
rw [← memℒp_one_iff_integrable] at hf ⊢
exact h.memℒp_snd hf
|
import Mathlib.Data.Nat.Multiplicity
import Mathlib.Data.ZMod.Algebra
import Mathlib.RingTheory.WittVector.Basic
import Mathlib.RingTheory.WittVector.IsPoly
import Mathlib.FieldTheory.Perfect
#align_import ring_theory.witt_vector.frobenius from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472"
namespace WittVector
variable {p : ℕ} {R S : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S]
local notation "𝕎" => WittVector p -- type as `\bbW`
noncomputable section
open MvPolynomial Finset
variable (p)
def frobeniusPolyRat (n : ℕ) : MvPolynomial ℕ ℚ :=
bind₁ (wittPolynomial p ℚ ∘ fun n => n + 1) (xInTermsOfW p ℚ n)
#align witt_vector.frobenius_poly_rat WittVector.frobeniusPolyRat
theorem bind₁_frobeniusPolyRat_wittPolynomial (n : ℕ) :
bind₁ (frobeniusPolyRat p) (wittPolynomial p ℚ n) = wittPolynomial p ℚ (n + 1) := by
delta frobeniusPolyRat
rw [← bind₁_bind₁, bind₁_xInTermsOfW_wittPolynomial, bind₁_X_right, Function.comp_apply]
#align witt_vector.bind₁_frobenius_poly_rat_witt_polynomial WittVector.bind₁_frobeniusPolyRat_wittPolynomial
private def pnat_multiplicity (n : ℕ+) : ℕ :=
(multiplicity p n).get <| multiplicity.finite_nat_iff.mpr <| ⟨ne_of_gt hp.1.one_lt, n.2⟩
local notation "v" => pnat_multiplicity
noncomputable def frobeniusPolyAux : ℕ → MvPolynomial ℕ ℤ
| n => X (n + 1) - ∑ i : Fin n, have _ := i.is_lt
∑ j ∈ range (p ^ (n - i)),
(((X (i : ℕ) ^ p) ^ (p ^ (n - (i : ℕ)) - (j + 1)) : MvPolynomial ℕ ℤ) *
(frobeniusPolyAux i) ^ (j + 1)) *
C (((p ^ (n - i)).choose (j + 1) / (p ^ (n - i - v p ⟨j + 1, Nat.succ_pos j⟩))
* ↑p ^ (j - v p ⟨j + 1, Nat.succ_pos j⟩) : ℕ) : ℤ)
#align witt_vector.frobenius_poly_aux WittVector.frobeniusPolyAux
theorem frobeniusPolyAux_eq (n : ℕ) :
frobeniusPolyAux p n =
X (n + 1) - ∑ i ∈ range n,
∑ j ∈ range (p ^ (n - i)),
(X i ^ p) ^ (p ^ (n - i) - (j + 1)) * frobeniusPolyAux p i ^ (j + 1) *
C ↑((p ^ (n - i)).choose (j + 1) / p ^ (n - i - v p ⟨j + 1, Nat.succ_pos j⟩) *
↑p ^ (j - v p ⟨j + 1, Nat.succ_pos j⟩) : ℕ) := by
rw [frobeniusPolyAux, ← Fin.sum_univ_eq_sum_range]
#align witt_vector.frobenius_poly_aux_eq WittVector.frobeniusPolyAux_eq
def frobeniusPoly (n : ℕ) : MvPolynomial ℕ ℤ :=
X n ^ p + C (p : ℤ) * frobeniusPolyAux p n
#align witt_vector.frobenius_poly WittVector.frobeniusPoly
| Mathlib/RingTheory/WittVector/Frobenius.lean | 123 | 127 | theorem map_frobeniusPoly.key₁ (n j : ℕ) (hj : j < p ^ n) :
p ^ (n - v p ⟨j + 1, j.succ_pos⟩) ∣ (p ^ n).choose (j + 1) := by |
apply multiplicity.pow_dvd_of_le_multiplicity
rw [hp.out.multiplicity_choose_prime_pow hj j.succ_ne_zero]
rfl
|
import Mathlib.Algebra.Category.ModuleCat.Basic
import Mathlib.LinearAlgebra.TensorProduct.Basic
import Mathlib.CategoryTheory.Monoidal.Linear
#align_import algebra.category.Module.monoidal.basic from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2"
-- Porting note: Module
set_option linter.uppercaseLean3 false
suppress_compilation
universe v w x u
open CategoryTheory
namespace ModuleCat
variable {R : Type u} [CommRing R]
namespace MonoidalCategory
-- The definitions inside this namespace are essentially private.
-- After we build the `MonoidalCategory (Module R)` instance,
-- you should use that API.
open TensorProduct
attribute [local ext] TensorProduct.ext
def tensorObj (M N : ModuleCat R) : ModuleCat R :=
ModuleCat.of R (M ⊗[R] N)
#align Module.monoidal_category.tensor_obj ModuleCat.MonoidalCategory.tensorObj
def tensorHom {M N M' N' : ModuleCat R} (f : M ⟶ N) (g : M' ⟶ N') :
tensorObj M M' ⟶ tensorObj N N' :=
TensorProduct.map f g
#align Module.monoidal_category.tensor_hom ModuleCat.MonoidalCategory.tensorHom
def whiskerLeft (M : ModuleCat R) {N₁ N₂ : ModuleCat R} (f : N₁ ⟶ N₂) :
tensorObj M N₁ ⟶ tensorObj M N₂ :=
f.lTensor M
def whiskerRight {M₁ M₂ : ModuleCat R} (f : M₁ ⟶ M₂) (N : ModuleCat R) :
tensorObj M₁ N ⟶ tensorObj M₂ N :=
f.rTensor N
theorem tensor_id (M N : ModuleCat R) : tensorHom (𝟙 M) (𝟙 N) = 𝟙 (ModuleCat.of R (M ⊗ N)) := by
-- Porting note: even with high priority ext fails to find this
apply TensorProduct.ext
rfl
#align Module.monoidal_category.tensor_id ModuleCat.MonoidalCategory.tensor_id
| Mathlib/Algebra/Category/ModuleCat/Monoidal/Basic.lean | 81 | 85 | theorem tensor_comp {X₁ Y₁ Z₁ X₂ Y₂ Z₂ : ModuleCat R} (f₁ : X₁ ⟶ Y₁) (f₂ : X₂ ⟶ Y₂) (g₁ : Y₁ ⟶ Z₁)
(g₂ : Y₂ ⟶ Z₂) : tensorHom (f₁ ≫ g₁) (f₂ ≫ g₂) = tensorHom f₁ f₂ ≫ tensorHom g₁ g₂ := by |
-- Porting note: even with high priority ext fails to find this
apply TensorProduct.ext
rfl
|
import Mathlib.MeasureTheory.Integral.FundThmCalculus
import Mathlib.Analysis.SpecialFunctions.Trigonometric.ArctanDeriv
import Mathlib.Analysis.SpecialFunctions.NonIntegrable
import Mathlib.Analysis.SpecialFunctions.Pow.Deriv
#align_import analysis.special_functions.integrals from "leanprover-community/mathlib"@"011cafb4a5bc695875d186e245d6b3df03bf6c40"
open Real Nat Set Finset
open scoped Real Interval
variable {a b : ℝ} (n : ℕ)
namespace intervalIntegral
open MeasureTheory
variable {f : ℝ → ℝ} {μ ν : Measure ℝ} [IsLocallyFiniteMeasure μ] (c d : ℝ)
@[simp]
theorem intervalIntegrable_pow : IntervalIntegrable (fun x => x ^ n) μ a b :=
(continuous_pow n).intervalIntegrable a b
#align interval_integral.interval_integrable_pow intervalIntegral.intervalIntegrable_pow
theorem intervalIntegrable_zpow {n : ℤ} (h : 0 ≤ n ∨ (0 : ℝ) ∉ [[a, b]]) :
IntervalIntegrable (fun x => x ^ n) μ a b :=
(continuousOn_id.zpow₀ n fun _ hx => h.symm.imp (ne_of_mem_of_not_mem hx) id).intervalIntegrable
#align interval_integral.interval_integrable_zpow intervalIntegral.intervalIntegrable_zpow
theorem intervalIntegrable_rpow {r : ℝ} (h : 0 ≤ r ∨ (0 : ℝ) ∉ [[a, b]]) :
IntervalIntegrable (fun x => x ^ r) μ a b :=
(continuousOn_id.rpow_const fun _ hx =>
h.symm.imp (ne_of_mem_of_not_mem hx) id).intervalIntegrable
#align interval_integral.interval_integrable_rpow intervalIntegral.intervalIntegrable_rpow
theorem intervalIntegrable_rpow' {r : ℝ} (h : -1 < r) :
IntervalIntegrable (fun x => x ^ r) volume a b := by
suffices ∀ c : ℝ, IntervalIntegrable (fun x => x ^ r) volume 0 c by
exact IntervalIntegrable.trans (this a).symm (this b)
have : ∀ c : ℝ, 0 ≤ c → IntervalIntegrable (fun x => x ^ r) volume 0 c := by
intro c hc
rw [intervalIntegrable_iff, uIoc_of_le hc]
have hderiv : ∀ x ∈ Ioo 0 c, HasDerivAt (fun x : ℝ => x ^ (r + 1) / (r + 1)) (x ^ r) x := by
intro x hx
convert (Real.hasDerivAt_rpow_const (p := r + 1) (Or.inl hx.1.ne')).div_const (r + 1) using 1
field_simp [(by linarith : r + 1 ≠ 0)]
apply integrableOn_deriv_of_nonneg _ hderiv
· intro x hx; apply rpow_nonneg hx.1.le
· refine (continuousOn_id.rpow_const ?_).div_const _; intro x _; right; linarith
intro c; rcases le_total 0 c with (hc | hc)
· exact this c hc
· rw [IntervalIntegrable.iff_comp_neg, neg_zero]
have m := (this (-c) (by linarith)).smul (cos (r * π))
rw [intervalIntegrable_iff] at m ⊢
refine m.congr_fun ?_ measurableSet_Ioc; intro x hx
rw [uIoc_of_le (by linarith : 0 ≤ -c)] at hx
simp only [Pi.smul_apply, Algebra.id.smul_eq_mul, log_neg_eq_log, mul_comm,
rpow_def_of_pos hx.1, rpow_def_of_neg (by linarith [hx.1] : -x < 0)]
#align interval_integral.interval_integrable_rpow' intervalIntegral.intervalIntegrable_rpow'
lemma integrableOn_Ioo_rpow_iff {s t : ℝ} (ht : 0 < t) :
IntegrableOn (fun x ↦ x ^ s) (Ioo (0 : ℝ) t) ↔ -1 < s := by
refine ⟨fun h ↦ ?_, fun h ↦ by simpa [intervalIntegrable_iff_integrableOn_Ioo_of_le ht.le]
using intervalIntegrable_rpow' h (a := 0) (b := t)⟩
contrapose! h
intro H
have I : 0 < min 1 t := lt_min zero_lt_one ht
have H' : IntegrableOn (fun x ↦ x ^ s) (Ioo 0 (min 1 t)) :=
H.mono (Set.Ioo_subset_Ioo le_rfl (min_le_right _ _)) le_rfl
have : IntegrableOn (fun x ↦ x⁻¹) (Ioo 0 (min 1 t)) := by
apply H'.mono' measurable_inv.aestronglyMeasurable
filter_upwards [ae_restrict_mem measurableSet_Ioo] with x hx
simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (le_of_lt hx.1)]
rwa [← Real.rpow_neg_one x, Real.rpow_le_rpow_left_iff_of_base_lt_one hx.1]
exact lt_of_lt_of_le hx.2 (min_le_left _ _)
have : IntervalIntegrable (fun x ↦ x⁻¹) volume 0 (min 1 t) := by
rwa [intervalIntegrable_iff_integrableOn_Ioo_of_le I.le]
simp [intervalIntegrable_inv_iff, I.ne] at this
theorem intervalIntegrable_cpow {r : ℂ} (h : 0 ≤ r.re ∨ (0 : ℝ) ∉ [[a, b]]) :
IntervalIntegrable (fun x : ℝ => (x : ℂ) ^ r) μ a b := by
by_cases h2 : (0 : ℝ) ∉ [[a, b]]
· -- Easy case #1: 0 ∉ [a, b] -- use continuity.
refine (ContinuousAt.continuousOn fun x hx => ?_).intervalIntegrable
exact Complex.continuousAt_ofReal_cpow_const _ _ (Or.inr <| ne_of_mem_of_not_mem hx h2)
rw [eq_false h2, or_false_iff] at h
rcases lt_or_eq_of_le h with (h' | h')
· -- Easy case #2: 0 < re r -- again use continuity
exact (Complex.continuous_ofReal_cpow_const h').intervalIntegrable _ _
-- Now the hard case: re r = 0 and 0 is in the interval.
refine (IntervalIntegrable.intervalIntegrable_norm_iff ?_).mp ?_
· refine (measurable_of_continuousOn_compl_singleton (0 : ℝ) ?_).aestronglyMeasurable
exact ContinuousAt.continuousOn fun x hx =>
Complex.continuousAt_ofReal_cpow_const x r (Or.inr hx)
-- reduce to case of integral over `[0, c]`
suffices ∀ c : ℝ, IntervalIntegrable (fun x : ℝ => ‖(x:ℂ) ^ r‖) μ 0 c from
(this a).symm.trans (this b)
intro c
rcases le_or_lt 0 c with (hc | hc)
· -- case `0 ≤ c`: integrand is identically 1
have : IntervalIntegrable (fun _ => 1 : ℝ → ℝ) μ 0 c := intervalIntegrable_const
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hc] at this ⊢
refine IntegrableOn.congr_fun this (fun x hx => ?_) measurableSet_Ioc
dsimp only
rw [Complex.norm_eq_abs, Complex.abs_cpow_eq_rpow_re_of_pos hx.1, ← h', rpow_zero]
· -- case `c < 0`: integrand is identically constant, *except* at `x = 0` if `r ≠ 0`.
apply IntervalIntegrable.symm
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hc.le]
have : Ioc c 0 = Ioo c 0 ∪ {(0 : ℝ)} := by
rw [← Ioo_union_Icc_eq_Ioc hc (le_refl 0), ← Icc_def]
simp_rw [← le_antisymm_iff, setOf_eq_eq_singleton']
rw [this, integrableOn_union, and_comm]; constructor
· refine integrableOn_singleton_iff.mpr (Or.inr ?_)
exact isFiniteMeasureOnCompacts_of_isLocallyFiniteMeasure.lt_top_of_isCompact
isCompact_singleton
· have : ∀ x : ℝ, x ∈ Ioo c 0 → ‖Complex.exp (↑π * Complex.I * r)‖ = ‖(x : ℂ) ^ r‖ := by
intro x hx
rw [Complex.ofReal_cpow_of_nonpos hx.2.le, norm_mul, ← Complex.ofReal_neg,
Complex.norm_eq_abs (_ ^ _), Complex.abs_cpow_eq_rpow_re_of_pos (neg_pos.mpr hx.2), ← h',
rpow_zero, one_mul]
refine IntegrableOn.congr_fun ?_ this measurableSet_Ioo
rw [integrableOn_const]
refine Or.inr ((measure_mono Set.Ioo_subset_Icc_self).trans_lt ?_)
exact isFiniteMeasureOnCompacts_of_isLocallyFiniteMeasure.lt_top_of_isCompact isCompact_Icc
#align interval_integral.interval_integrable_cpow intervalIntegral.intervalIntegrable_cpow
| Mathlib/Analysis/SpecialFunctions/Integrals.lean | 169 | 199 | theorem intervalIntegrable_cpow' {r : ℂ} (h : -1 < r.re) :
IntervalIntegrable (fun x : ℝ => (x : ℂ) ^ r) volume a b := by |
suffices ∀ c : ℝ, IntervalIntegrable (fun x => (x : ℂ) ^ r) volume 0 c by
exact IntervalIntegrable.trans (this a).symm (this b)
have : ∀ c : ℝ, 0 ≤ c → IntervalIntegrable (fun x => (x : ℂ) ^ r) volume 0 c := by
intro c hc
rw [← IntervalIntegrable.intervalIntegrable_norm_iff]
· rw [intervalIntegrable_iff]
apply IntegrableOn.congr_fun
· rw [← intervalIntegrable_iff]; exact intervalIntegral.intervalIntegrable_rpow' h
· intro x hx
rw [uIoc_of_le hc] at hx
dsimp only
rw [Complex.norm_eq_abs, Complex.abs_cpow_eq_rpow_re_of_pos hx.1]
· exact measurableSet_uIoc
· refine ContinuousOn.aestronglyMeasurable ?_ measurableSet_uIoc
refine ContinuousAt.continuousOn fun x hx => ?_
rw [uIoc_of_le hc] at hx
refine (continuousAt_cpow_const (Or.inl ?_)).comp Complex.continuous_ofReal.continuousAt
rw [Complex.ofReal_re]
exact hx.1
intro c; rcases le_total 0 c with (hc | hc)
· exact this c hc
· rw [IntervalIntegrable.iff_comp_neg, neg_zero]
have m := (this (-c) (by linarith)).const_mul (Complex.exp (π * Complex.I * r))
rw [intervalIntegrable_iff, uIoc_of_le (by linarith : 0 ≤ -c)] at m ⊢
refine m.congr_fun (fun x hx => ?_) measurableSet_Ioc
dsimp only
have : -x ≤ 0 := by linarith [hx.1]
rw [Complex.ofReal_cpow_of_nonpos this, mul_comm]
simp
|
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