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.Forall2
#align_import data.list.zip from "leanprover-community/mathlib"@"134625f523e737f650a6ea7f0c82a6177e45e622"
-- Make sure we don't import algebra
assert_not_exists Monoid
universe u
open Nat
namespace List
variable {α : Type u} {β γ δ ε : Type*}
#align list.zip_with_cons_cons List.zipWith_cons_cons
#align list.zip_cons_cons List.zip_cons_cons
#align list.zip_with_nil_left List.zipWith_nil_left
#align list.zip_with_nil_right List.zipWith_nil_right
#align list.zip_with_eq_nil_iff List.zipWith_eq_nil_iff
#align list.zip_nil_left List.zip_nil_left
#align list.zip_nil_right List.zip_nil_right
@[simp]
theorem zip_swap : ∀ (l₁ : List α) (l₂ : List β), (zip l₁ l₂).map Prod.swap = zip l₂ l₁
| [], l₂ => zip_nil_right.symm
| l₁, [] => by rw [zip_nil_right]; rfl
| a :: l₁, b :: l₂ => by
simp only [zip_cons_cons, map_cons, zip_swap l₁ l₂, Prod.swap_prod_mk]
#align list.zip_swap List.zip_swap
#align list.length_zip_with List.length_zipWith
#align list.length_zip List.length_zip
theorem forall_zipWith {f : α → β → γ} {p : γ → Prop} :
∀ {l₁ : List α} {l₂ : List β}, length l₁ = length l₂ →
(Forall p (zipWith f l₁ l₂) ↔ Forall₂ (fun x y => p (f x y)) l₁ l₂)
| [], [], _ => by simp
| a :: l₁, b :: l₂, h => by
simp only [length_cons, succ_inj'] at h
simp [forall_zipWith h]
#align list.all₂_zip_with List.forall_zipWith
theorem lt_length_left_of_zipWith {f : α → β → γ} {i : ℕ} {l : List α} {l' : List β}
(h : i < (zipWith f l l').length) : i < l.length := by rw [length_zipWith] at h; omega
#align list.lt_length_left_of_zip_with List.lt_length_left_of_zipWith
theorem lt_length_right_of_zipWith {f : α → β → γ} {i : ℕ} {l : List α} {l' : List β}
(h : i < (zipWith f l l').length) : i < l'.length := by rw [length_zipWith] at h; omega
#align list.lt_length_right_of_zip_with List.lt_length_right_of_zipWith
theorem lt_length_left_of_zip {i : ℕ} {l : List α} {l' : List β} (h : i < (zip l l').length) :
i < l.length :=
lt_length_left_of_zipWith h
#align list.lt_length_left_of_zip List.lt_length_left_of_zip
theorem lt_length_right_of_zip {i : ℕ} {l : List α} {l' : List β} (h : i < (zip l l').length) :
i < l'.length :=
lt_length_right_of_zipWith h
#align list.lt_length_right_of_zip List.lt_length_right_of_zip
#align list.zip_append List.zip_append
#align list.zip_map List.zip_map
#align list.zip_map_left List.zip_map_left
#align list.zip_map_right List.zip_map_right
#align list.zip_with_map List.zipWith_map
#align list.zip_with_map_left List.zipWith_map_left
#align list.zip_with_map_right List.zipWith_map_right
#align list.zip_map' List.zip_map'
#align list.map_zip_with List.map_zipWith
theorem mem_zip {a b} : ∀ {l₁ : List α} {l₂ : List β}, (a, b) ∈ zip l₁ l₂ → a ∈ l₁ ∧ b ∈ l₂
| _ :: l₁, _ :: l₂, h => by
cases' h with _ _ _ h
· simp
· have := mem_zip h
exact ⟨Mem.tail _ this.1, Mem.tail _ this.2⟩
#align list.mem_zip List.mem_zip
#align list.map_fst_zip List.map_fst_zip
#align list.map_snd_zip List.map_snd_zip
#align list.unzip_nil List.unzip_nil
#align list.unzip_cons List.unzip_cons
theorem unzip_eq_map : ∀ l : List (α × β), unzip l = (l.map Prod.fst, l.map Prod.snd)
| [] => rfl
| (a, b) :: l => by simp only [unzip_cons, map_cons, unzip_eq_map l]
#align list.unzip_eq_map List.unzip_eq_map
theorem unzip_left (l : List (α × β)) : (unzip l).1 = l.map Prod.fst := by simp only [unzip_eq_map]
#align list.unzip_left List.unzip_left
theorem unzip_right (l : List (α × β)) : (unzip l).2 = l.map Prod.snd := by simp only [unzip_eq_map]
#align list.unzip_right List.unzip_right
theorem unzip_swap (l : List (α × β)) : unzip (l.map Prod.swap) = (unzip l).swap := by
simp only [unzip_eq_map, map_map]
rfl
#align list.unzip_swap List.unzip_swap
theorem zip_unzip : ∀ l : List (α × β), zip (unzip l).1 (unzip l).2 = l
| [] => rfl
| (a, b) :: l => by simp only [unzip_cons, zip_cons_cons, zip_unzip l]
#align list.zip_unzip List.zip_unzip
theorem unzip_zip_left :
∀ {l₁ : List α} {l₂ : List β}, length l₁ ≤ length l₂ → (unzip (zip l₁ l₂)).1 = l₁
| [], l₂, _ => rfl
| l₁, [], h => by rw [eq_nil_of_length_eq_zero (Nat.eq_zero_of_le_zero h)]; rfl
| a :: l₁, b :: l₂, h => by
simp only [zip_cons_cons, unzip_cons, unzip_zip_left (le_of_succ_le_succ h)]
#align list.unzip_zip_left List.unzip_zip_left
theorem unzip_zip_right {l₁ : List α} {l₂ : List β} (h : length l₂ ≤ length l₁) :
(unzip (zip l₁ l₂)).2 = l₂ := by rw [← zip_swap, unzip_swap]; exact unzip_zip_left h
#align list.unzip_zip_right List.unzip_zip_right
theorem unzip_zip {l₁ : List α} {l₂ : List β} (h : length l₁ = length l₂) :
unzip (zip l₁ l₂) = (l₁, l₂) := by
rw [← Prod.mk.eta (p := unzip (zip l₁ l₂)),
unzip_zip_left (le_of_eq h), unzip_zip_right (ge_of_eq h)]
#align list.unzip_zip List.unzip_zip
theorem zip_of_prod {l : List α} {l' : List β} {lp : List (α × β)} (hl : lp.map Prod.fst = l)
(hr : lp.map Prod.snd = l') : lp = l.zip l' := by
rw [← hl, ← hr, ← zip_unzip lp, ← unzip_left, ← unzip_right, zip_unzip, zip_unzip]
#align list.zip_of_prod List.zip_of_prod
theorem map_prod_left_eq_zip {l : List α} (f : α → β) :
(l.map fun x => (x, f x)) = l.zip (l.map f) := by
rw [← zip_map']
congr
exact map_id _
#align list.map_prod_left_eq_zip List.map_prod_left_eq_zip
theorem map_prod_right_eq_zip {l : List α} (f : α → β) :
(l.map fun x => (f x, x)) = (l.map f).zip l := by
rw [← zip_map']
congr
exact map_id _
#align list.map_prod_right_eq_zip List.map_prod_right_eq_zip
theorem zipWith_comm (f : α → β → γ) :
∀ (la : List α) (lb : List β), zipWith f la lb = zipWith (fun b a => f a b) lb la
| [], _ => List.zipWith_nil_right.symm
| _ :: _, [] => rfl
| _ :: as, _ :: bs => congr_arg _ (zipWith_comm f as bs)
#align list.zip_with_comm List.zipWith_comm
@[congr]
theorem zipWith_congr (f g : α → β → γ) (la : List α) (lb : List β)
(h : List.Forall₂ (fun a b => f a b = g a b) la lb) : zipWith f la lb = zipWith g la lb := by
induction' h with a b as bs hfg _ ih
· rfl
· exact congr_arg₂ _ hfg ih
#align list.zip_with_congr List.zipWith_congr
theorem zipWith_comm_of_comm (f : α → α → β) (comm : ∀ x y : α, f x y = f y x) (l l' : List α) :
zipWith f l l' = zipWith f l' l := by
rw [zipWith_comm]
simp only [comm]
#align list.zip_with_comm_of_comm List.zipWith_comm_of_comm
@[simp]
theorem zipWith_same (f : α → α → δ) : ∀ l : List α, zipWith f l l = l.map fun a => f a a
| [] => rfl
| _ :: xs => congr_arg _ (zipWith_same f xs)
#align list.zip_with_same List.zipWith_same
theorem zipWith_zipWith_left (f : δ → γ → ε) (g : α → β → δ) :
∀ (la : List α) (lb : List β) (lc : List γ),
zipWith f (zipWith g la lb) lc = zipWith3 (fun a b c => f (g a b) c) la lb lc
| [], _, _ => rfl
| _ :: _, [], _ => rfl
| _ :: _, _ :: _, [] => rfl
| _ :: as, _ :: bs, _ :: cs => congr_arg (cons _) <| zipWith_zipWith_left f g as bs cs
#align list.zip_with_zip_with_left List.zipWith_zipWith_left
theorem zipWith_zipWith_right (f : α → δ → ε) (g : β → γ → δ) :
∀ (la : List α) (lb : List β) (lc : List γ),
zipWith f la (zipWith g lb lc) = zipWith3 (fun a b c => f a (g b c)) la lb lc
| [], _, _ => rfl
| _ :: _, [], _ => rfl
| _ :: _, _ :: _, [] => rfl
| _ :: as, _ :: bs, _ :: cs => congr_arg (cons _) <| zipWith_zipWith_right f g as bs cs
#align list.zip_with_zip_with_right List.zipWith_zipWith_right
@[simp]
theorem zipWith3_same_left (f : α → α → β → γ) :
∀ (la : List α) (lb : List β), zipWith3 f la la lb = zipWith (fun a b => f a a b) la lb
| [], _ => rfl
| _ :: _, [] => rfl
| _ :: as, _ :: bs => congr_arg (cons _) <| zipWith3_same_left f as bs
#align list.zip_with3_same_left List.zipWith3_same_left
@[simp]
theorem zipWith3_same_mid (f : α → β → α → γ) :
∀ (la : List α) (lb : List β), zipWith3 f la lb la = zipWith (fun a b => f a b a) la lb
| [], _ => rfl
| _ :: _, [] => rfl
| _ :: as, _ :: bs => congr_arg (cons _) <| zipWith3_same_mid f as bs
#align list.zip_with3_same_mid List.zipWith3_same_mid
@[simp]
theorem zipWith3_same_right (f : α → β → β → γ) :
∀ (la : List α) (lb : List β), zipWith3 f la lb lb = zipWith (fun a b => f a b b) la lb
| [], _ => rfl
| _ :: _, [] => rfl
| _ :: as, _ :: bs => congr_arg (cons _) <| zipWith3_same_right f as bs
#align list.zip_with3_same_right List.zipWith3_same_right
instance (f : α → α → β) [IsSymmOp α β f] : IsSymmOp (List α) (List β) (zipWith f) :=
⟨zipWith_comm_of_comm f IsSymmOp.symm_op⟩
@[simp]
theorem length_revzip (l : List α) : length (revzip l) = length l := by
simp only [revzip, length_zip, length_reverse, min_self]
#align list.length_revzip List.length_revzip
@[simp]
theorem unzip_revzip (l : List α) : (revzip l).unzip = (l, l.reverse) :=
unzip_zip (length_reverse l).symm
#align list.unzip_revzip List.unzip_revzip
@[simp]
theorem revzip_map_fst (l : List α) : (revzip l).map Prod.fst = l := by
rw [← unzip_left, unzip_revzip]
#align list.revzip_map_fst List.revzip_map_fst
@[simp]
theorem revzip_map_snd (l : List α) : (revzip l).map Prod.snd = l.reverse := by
rw [← unzip_right, unzip_revzip]
#align list.revzip_map_snd List.revzip_map_snd
theorem reverse_revzip (l : List α) : reverse l.revzip = revzip l.reverse := by
rw [← zip_unzip (revzip l).reverse]
simp [unzip_eq_map, revzip, map_reverse, map_fst_zip, map_snd_zip]
#align list.reverse_revzip List.reverse_revzip
| Mathlib/Data/List/Zip.lean | 259 | 259 | theorem revzip_swap (l : List α) : (revzip l).map Prod.swap = revzip l.reverse := by | simp [revzip]
|
import Mathlib.Order.Filter.Bases
import Mathlib.Order.Filter.Ultrafilter
open Set
variable {α β : Type*} {l : Filter α}
namespace Filter
protected def Subsingleton (l : Filter α) : Prop := ∃ s ∈ l, Set.Subsingleton s
theorem HasBasis.subsingleton_iff {ι : Sort*} {p : ι → Prop} {s : ι → Set α} (h : l.HasBasis p s) :
l.Subsingleton ↔ ∃ i, p i ∧ (s i).Subsingleton :=
h.exists_iff fun _ _ hsub h ↦ h.anti hsub
theorem Subsingleton.anti {l'} (hl : l.Subsingleton) (hl' : l' ≤ l) : l'.Subsingleton :=
let ⟨s, hsl, hs⟩ := hl; ⟨s, hl' hsl, hs⟩
@[nontriviality]
theorem Subsingleton.of_subsingleton [Subsingleton α] : l.Subsingleton :=
⟨univ, univ_mem, subsingleton_univ⟩
theorem Subsingleton.map (hl : l.Subsingleton) (f : α → β) : (map f l).Subsingleton :=
let ⟨s, hsl, hs⟩ := hl; ⟨f '' s, image_mem_map hsl, hs.image f⟩
theorem Subsingleton.prod (hl : l.Subsingleton) {l' : Filter β} (hl' : l'.Subsingleton) :
(l ×ˢ l').Subsingleton :=
let ⟨s, hsl, hs⟩ := hl; let ⟨t, htl', ht⟩ := hl'; ⟨s ×ˢ t, prod_mem_prod hsl htl', hs.prod ht⟩
@[simp]
theorem subsingleton_pure {a : α} : Filter.Subsingleton (pure a) :=
⟨{a}, rfl, subsingleton_singleton⟩
@[simp]
theorem subsingleton_bot : Filter.Subsingleton (⊥ : Filter α) :=
⟨∅, trivial, subsingleton_empty⟩
theorem Subsingleton.exists_eq_pure [l.NeBot] (hl : l.Subsingleton) : ∃ a, l = pure a := by
rcases hl with ⟨s, hsl, hs⟩
rcases exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨nonempty_of_mem hsl, hs⟩ with ⟨a, rfl⟩
refine ⟨a, (NeBot.le_pure_iff ‹_›).1 ?_⟩
rwa [le_pure_iff]
| Mathlib/Order/Filter/Subsingleton.lean | 58 | 61 | theorem subsingleton_iff_bot_or_pure : l.Subsingleton ↔ l = ⊥ ∨ ∃ a, l = pure a := by |
refine ⟨fun hl ↦ ?_, ?_⟩
· exact (eq_or_neBot l).imp_right (@Subsingleton.exists_eq_pure _ _ · hl)
· rintro (rfl | ⟨a, rfl⟩) <;> simp
|
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Ring.Rat
import Mathlib.Data.Multiset.Sort
import Mathlib.Data.PNat.Basic
import Mathlib.Data.PNat.Interval
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.IntervalCases
#align_import number_theory.ADE_inequality from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
namespace ADEInequality
open Multiset
-- Porting note: ADE is a special name, exceptionally in upper case in Lean3
set_option linter.uppercaseLean3 false
def A' (q r : ℕ+) : Multiset ℕ+ :=
{1, q, r}
#align ADE_inequality.A' ADEInequality.A'
def A (r : ℕ+) : Multiset ℕ+ :=
A' 1 r
#align ADE_inequality.A ADEInequality.A
def D' (r : ℕ+) : Multiset ℕ+ :=
{2, 2, r}
#align ADE_inequality.D' ADEInequality.D'
def E' (r : ℕ+) : Multiset ℕ+ :=
{2, 3, r}
#align ADE_inequality.E' ADEInequality.E'
def E6 : Multiset ℕ+ :=
E' 3
#align ADE_inequality.E6 ADEInequality.E6
def E7 : Multiset ℕ+ :=
E' 4
#align ADE_inequality.E7 ADEInequality.E7
def E8 : Multiset ℕ+ :=
E' 5
#align ADE_inequality.E8 ADEInequality.E8
def sumInv (pqr : Multiset ℕ+) : ℚ :=
Multiset.sum (pqr.map fun (x : ℕ+) => x⁻¹)
#align ADE_inequality.sum_inv ADEInequality.sumInv
theorem sumInv_pqr (p q r : ℕ+) : sumInv {p, q, r} = (p : ℚ)⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹ := by
simp only [sumInv, add_zero, insert_eq_cons, add_assoc, map_cons, sum_cons,
map_singleton, sum_singleton]
#align ADE_inequality.sum_inv_pqr ADEInequality.sumInv_pqr
def Admissible (pqr : Multiset ℕ+) : Prop :=
(∃ q r, A' q r = pqr) ∨ (∃ r, D' r = pqr) ∨ E' 3 = pqr ∨ E' 4 = pqr ∨ E' 5 = pqr
#align ADE_inequality.admissible ADEInequality.Admissible
theorem admissible_A' (q r : ℕ+) : Admissible (A' q r) :=
Or.inl ⟨q, r, rfl⟩
#align ADE_inequality.admissible_A' ADEInequality.admissible_A'
theorem admissible_D' (n : ℕ+) : Admissible (D' n) :=
Or.inr <| Or.inl ⟨n, rfl⟩
#align ADE_inequality.admissible_D' ADEInequality.admissible_D'
theorem admissible_E'3 : Admissible (E' 3) :=
Or.inr <| Or.inr <| Or.inl rfl
#align ADE_inequality.admissible_E'3 ADEInequality.admissible_E'3
theorem admissible_E'4 : Admissible (E' 4) :=
Or.inr <| Or.inr <| Or.inr <| Or.inl rfl
#align ADE_inequality.admissible_E'4 ADEInequality.admissible_E'4
theorem admissible_E'5 : Admissible (E' 5) :=
Or.inr <| Or.inr <| Or.inr <| Or.inr rfl
#align ADE_inequality.admissible_E'5 ADEInequality.admissible_E'5
theorem admissible_E6 : Admissible E6 :=
admissible_E'3
#align ADE_inequality.admissible_E6 ADEInequality.admissible_E6
theorem admissible_E7 : Admissible E7 :=
admissible_E'4
#align ADE_inequality.admissible_E7 ADEInequality.admissible_E7
theorem admissible_E8 : Admissible E8 :=
admissible_E'5
#align ADE_inequality.admissible_E8 ADEInequality.admissible_E8
theorem Admissible.one_lt_sumInv {pqr : Multiset ℕ+} : Admissible pqr → 1 < sumInv pqr := by
rw [Admissible]
rintro (⟨p', q', H⟩ | ⟨n, H⟩ | H | H | H)
· rw [← H, A', sumInv_pqr, add_assoc]
simp only [lt_add_iff_pos_right, PNat.one_coe, inv_one, Nat.cast_one]
apply add_pos <;> simp only [PNat.pos, Nat.cast_pos, inv_pos]
· rw [← H, D', sumInv_pqr]
conv_rhs => simp only [OfNat.ofNat, PNat.mk_coe]
norm_num
all_goals
rw [← H, E', sumInv_pqr]
conv_rhs => simp only [OfNat.ofNat, PNat.mk_coe]
rfl
#align ADE_inequality.admissible.one_lt_sum_inv ADEInequality.Admissible.one_lt_sumInv
theorem lt_three {p q r : ℕ+} (hpq : p ≤ q) (hqr : q ≤ r) (H : 1 < sumInv {p, q, r}) : p < 3 := by
have h3 : (0 : ℚ) < 3 := by norm_num
contrapose! H
rw [sumInv_pqr]
have h3q := H.trans hpq
have h3r := h3q.trans hqr
have hp: (p : ℚ)⁻¹ ≤ 3⁻¹ := by
rw [inv_le_inv _ h3]
· assumption_mod_cast
· norm_num
have hq: (q : ℚ)⁻¹ ≤ 3⁻¹ := by
rw [inv_le_inv _ h3]
· assumption_mod_cast
· norm_num
have hr: (r : ℚ)⁻¹ ≤ 3⁻¹ := by
rw [inv_le_inv _ h3]
· assumption_mod_cast
· norm_num
calc
(p : ℚ)⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹ ≤ 3⁻¹ + 3⁻¹ + 3⁻¹ := add_le_add (add_le_add hp hq) hr
_ = 1 := by norm_num
#align ADE_inequality.lt_three ADEInequality.lt_three
theorem lt_four {q r : ℕ+} (hqr : q ≤ r) (H : 1 < sumInv {2, q, r}) : q < 4 := by
have h4 : (0 : ℚ) < 4 := by norm_num
contrapose! H
rw [sumInv_pqr]
have h4r := H.trans hqr
have hq: (q : ℚ)⁻¹ ≤ 4⁻¹ := by
rw [inv_le_inv _ h4]
· assumption_mod_cast
· norm_num
have hr: (r : ℚ)⁻¹ ≤ 4⁻¹ := by
rw [inv_le_inv _ h4]
· assumption_mod_cast
· norm_num
calc
(2⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹) ≤ 2⁻¹ + 4⁻¹ + 4⁻¹ := add_le_add (add_le_add le_rfl hq) hr
_ = 1 := by norm_num
#align ADE_inequality.lt_four ADEInequality.lt_four
| Mathlib/NumberTheory/ADEInequality.lean | 216 | 226 | theorem lt_six {r : ℕ+} (H : 1 < sumInv {2, 3, r}) : r < 6 := by |
have h6 : (0 : ℚ) < 6 := by norm_num
contrapose! H
rw [sumInv_pqr]
have hr: (r : ℚ)⁻¹ ≤ 6⁻¹ := by
rw [inv_le_inv _ h6]
· assumption_mod_cast
· norm_num
calc
(2⁻¹ + 3⁻¹ + (r : ℚ)⁻¹ : ℚ) ≤ 2⁻¹ + 3⁻¹ + 6⁻¹ := add_le_add (add_le_add le_rfl le_rfl) hr
_ = 1 := by norm_num
|
import Mathlib.RingTheory.DedekindDomain.Ideal
import Mathlib.RingTheory.Valuation.ExtendToLocalization
import Mathlib.RingTheory.Valuation.ValuationSubring
import Mathlib.Topology.Algebra.ValuedField
import Mathlib.Algebra.Order.Group.TypeTags
#align_import ring_theory.dedekind_domain.adic_valuation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open scoped Classical DiscreteValuation
open Multiplicative IsDedekindDomain
variable {R : Type*} [CommRing R] [IsDedekindDomain R] {K : Type*} [Field K]
[Algebra R K] [IsFractionRing R K] (v : HeightOneSpectrum R)
namespace IsDedekindDomain.HeightOneSpectrum
def intValuationDef (r : R) : ℤₘ₀ :=
if r = 0 then 0
else
↑(Multiplicative.ofAdd
(-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ))
#align is_dedekind_domain.height_one_spectrum.int_valuation_def IsDedekindDomain.HeightOneSpectrum.intValuationDef
theorem intValuationDef_if_pos {r : R} (hr : r = 0) : v.intValuationDef r = 0 :=
if_pos hr
#align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_pos IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_pos
theorem intValuationDef_if_neg {r : R} (hr : r ≠ 0) :
v.intValuationDef r =
Multiplicative.ofAdd
(-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ) :=
if_neg hr
#align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_neg IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_neg
theorem int_valuation_ne_zero (x : R) (hx : x ≠ 0) : v.intValuationDef x ≠ 0 := by
rw [intValuationDef, if_neg hx]
exact WithZero.coe_ne_zero
#align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero
theorem int_valuation_ne_zero' (x : nonZeroDivisors R) : v.intValuationDef x ≠ 0 :=
v.int_valuation_ne_zero x (nonZeroDivisors.coe_ne_zero x)
#align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero' IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero'
theorem int_valuation_zero_le (x : nonZeroDivisors R) : 0 < v.intValuationDef x := by
rw [v.intValuationDef_if_neg (nonZeroDivisors.coe_ne_zero x)]
exact WithZero.zero_lt_coe _
#align is_dedekind_domain.height_one_spectrum.int_valuation_zero_le IsDedekindDomain.HeightOneSpectrum.int_valuation_zero_le
theorem int_valuation_le_one (x : R) : v.intValuationDef x ≤ 1 := by
rw [intValuationDef]
by_cases hx : x = 0
· rw [if_pos hx]; exact WithZero.zero_le 1
· rw [if_neg hx, ← WithZero.coe_one, ← ofAdd_zero, WithZero.coe_le_coe, ofAdd_le,
Right.neg_nonpos_iff]
exact Int.natCast_nonneg _
#align is_dedekind_domain.height_one_spectrum.int_valuation_le_one IsDedekindDomain.HeightOneSpectrum.int_valuation_le_one
theorem int_valuation_lt_one_iff_dvd (r : R) :
v.intValuationDef r < 1 ↔ v.asIdeal ∣ Ideal.span {r} := by
rw [intValuationDef]
split_ifs with hr
· simp [hr]
· rw [← WithZero.coe_one, ← ofAdd_zero, WithZero.coe_lt_coe, ofAdd_lt, neg_lt_zero, ←
Int.ofNat_zero, Int.ofNat_lt, zero_lt_iff]
have h : (Ideal.span {r} : Ideal R) ≠ 0 := by
rw [Ne, Ideal.zero_eq_bot, Ideal.span_singleton_eq_bot]
exact hr
apply Associates.count_ne_zero_iff_dvd h (by apply v.irreducible)
#align is_dedekind_domain.height_one_spectrum.int_valuation_lt_one_iff_dvd IsDedekindDomain.HeightOneSpectrum.int_valuation_lt_one_iff_dvd
theorem int_valuation_le_pow_iff_dvd (r : R) (n : ℕ) :
v.intValuationDef r ≤ Multiplicative.ofAdd (-(n : ℤ)) ↔ v.asIdeal ^ n ∣ Ideal.span {r} := by
rw [intValuationDef]
split_ifs with hr
· simp_rw [hr, Ideal.dvd_span_singleton, zero_le', Submodule.zero_mem]
· rw [WithZero.coe_le_coe, ofAdd_le, neg_le_neg_iff, Int.ofNat_le, Ideal.dvd_span_singleton, ←
Associates.le_singleton_iff,
Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hr)
(by apply v.associates_irreducible)]
#align is_dedekind_domain.height_one_spectrum.int_valuation_le_pow_iff_dvd IsDedekindDomain.HeightOneSpectrum.int_valuation_le_pow_iff_dvd
theorem IntValuation.map_zero' : v.intValuationDef 0 = 0 :=
v.intValuationDef_if_pos (Eq.refl 0)
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_zero' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_zero'
theorem IntValuation.map_one' : v.intValuationDef 1 = 1 := by
rw [v.intValuationDef_if_neg (zero_ne_one.symm : (1 : R) ≠ 0), Ideal.span_singleton_one, ←
Ideal.one_eq_top, Associates.mk_one, Associates.factors_one,
Associates.count_zero (by apply v.associates_irreducible), Int.ofNat_zero, neg_zero, ofAdd_zero,
WithZero.coe_one]
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_one' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_one'
theorem IntValuation.map_mul' (x y : R) :
v.intValuationDef (x * y) = v.intValuationDef x * v.intValuationDef y := by
simp only [intValuationDef]
by_cases hx : x = 0
· rw [hx, zero_mul, if_pos (Eq.refl _), zero_mul]
· by_cases hy : y = 0
· rw [hy, mul_zero, if_pos (Eq.refl _), mul_zero]
· rw [if_neg hx, if_neg hy, if_neg (mul_ne_zero hx hy), ← WithZero.coe_mul, WithZero.coe_inj, ←
ofAdd_add, ← Ideal.span_singleton_mul_span_singleton, ← Associates.mk_mul_mk, ← neg_add,
Associates.count_mul (by apply Associates.mk_ne_zero'.mpr hx)
(by apply Associates.mk_ne_zero'.mpr hy) (by apply v.associates_irreducible)]
rfl
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_mul' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_mul'
theorem IntValuation.le_max_iff_min_le {a b c : ℕ} :
Multiplicative.ofAdd (-c : ℤ) ≤
max (Multiplicative.ofAdd (-a : ℤ)) (Multiplicative.ofAdd (-b : ℤ)) ↔
min a b ≤ c := by
rw [le_max_iff, ofAdd_le, ofAdd_le, neg_le_neg_iff, neg_le_neg_iff, Int.ofNat_le, Int.ofNat_le,
← min_le_iff]
#align is_dedekind_domain.height_one_spectrum.int_valuation.le_max_iff_min_le IsDedekindDomain.HeightOneSpectrum.IntValuation.le_max_iff_min_le
theorem IntValuation.map_add_le_max' (x y : R) :
v.intValuationDef (x + y) ≤ max (v.intValuationDef x) (v.intValuationDef y) := by
by_cases hx : x = 0
· rw [hx, zero_add]
conv_rhs => rw [intValuationDef, if_pos (Eq.refl _)]
rw [max_eq_right (WithZero.zero_le (v.intValuationDef y))]
· by_cases hy : y = 0
· rw [hy, add_zero]
conv_rhs => rw [max_comm, intValuationDef, if_pos (Eq.refl _)]
rw [max_eq_right (WithZero.zero_le (v.intValuationDef x))]
· by_cases hxy : x + y = 0
· rw [intValuationDef, if_pos hxy]; exact zero_le'
· rw [v.intValuationDef_if_neg hxy, v.intValuationDef_if_neg hx,
v.intValuationDef_if_neg hy, WithZero.le_max_iff, IntValuation.le_max_iff_min_le]
set nmin :=
min ((Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {x})).factors)
((Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {y})).factors)
have h_dvd_x : x ∈ v.asIdeal ^ nmin := by
rw [← Associates.le_singleton_iff x nmin _,
Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hx) _]
· exact min_le_left _ _
apply v.associates_irreducible
have h_dvd_y : y ∈ v.asIdeal ^ nmin := by
rw [← Associates.le_singleton_iff y nmin _,
Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hy) _]
· exact min_le_right _ _
apply v.associates_irreducible
have h_dvd_xy : Associates.mk v.asIdeal ^ nmin ≤ Associates.mk (Ideal.span {x + y}) := by
rw [Associates.le_singleton_iff]
exact Ideal.add_mem (v.asIdeal ^ nmin) h_dvd_x h_dvd_y
rw [Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hxy) _] at h_dvd_xy
· exact h_dvd_xy
apply v.associates_irreducible
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_add_le_max' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_add_le_max'
@[simps]
def intValuation : Valuation R ℤₘ₀ where
toFun := v.intValuationDef
map_zero' := IntValuation.map_zero' v
map_one' := IntValuation.map_one' v
map_mul' := IntValuation.map_mul' v
map_add_le_max' := IntValuation.map_add_le_max' v
#align is_dedekind_domain.height_one_spectrum.int_valuation IsDedekindDomain.HeightOneSpectrum.intValuation
| Mathlib/RingTheory/DedekindDomain/AdicValuation.lean | 233 | 254 | theorem int_valuation_exists_uniformizer :
∃ π : R, v.intValuationDef π = Multiplicative.ofAdd (-1 : ℤ) := by |
have hv : _root_.Irreducible (Associates.mk v.asIdeal) := v.associates_irreducible
have hlt : v.asIdeal ^ 2 < v.asIdeal := by
rw [← Ideal.dvdNotUnit_iff_lt]
exact
⟨v.ne_bot, v.asIdeal, (not_congr Ideal.isUnit_iff).mpr (Ideal.IsPrime.ne_top v.isPrime),
sq v.asIdeal⟩
obtain ⟨π, mem, nmem⟩ := SetLike.exists_of_lt hlt
have hπ : Associates.mk (Ideal.span {π}) ≠ 0 := by
rw [Associates.mk_ne_zero']
intro h
rw [h] at nmem
exact nmem (Submodule.zero_mem (v.asIdeal ^ 2))
use π
rw [intValuationDef, if_neg (Associates.mk_ne_zero'.mp hπ), WithZero.coe_inj]
apply congr_arg
rw [neg_inj, ← Int.ofNat_one, Int.natCast_inj]
rw [← Ideal.dvd_span_singleton, ← Associates.mk_le_mk_iff_dvd] at mem nmem
rw [← pow_one (Associates.mk v.asIdeal), Associates.prime_pow_dvd_iff_le hπ hv] at mem
rw [Associates.mk_pow, Associates.prime_pow_dvd_iff_le hπ hv, not_le] at nmem
exact Nat.eq_of_le_of_lt_succ mem nmem
|
import Mathlib.Order.Filter.Prod
#align_import order.filter.n_ary from "leanprover-community/mathlib"@"78f647f8517f021d839a7553d5dc97e79b508dea"
open Function Set
open Filter
namespace Filter
variable {α α' β β' γ γ' δ δ' ε ε' : Type*} {m : α → β → γ} {f f₁ f₂ : Filter α}
{g g₁ g₂ : Filter β} {h h₁ h₂ : Filter γ} {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {u : Set γ}
{v : Set δ} {a : α} {b : β} {c : γ}
def map₂ (m : α → β → γ) (f : Filter α) (g : Filter β) : Filter γ :=
((f ×ˢ g).map (uncurry m)).copy { s | ∃ u ∈ f, ∃ v ∈ g, image2 m u v ⊆ s } fun _ ↦ by
simp only [mem_map, mem_prod_iff, image2_subset_iff, prod_subset_iff]; rfl
#align filter.map₂ Filter.map₂
@[simp 900]
theorem mem_map₂_iff : u ∈ map₂ m f g ↔ ∃ s ∈ f, ∃ t ∈ g, image2 m s t ⊆ u :=
Iff.rfl
#align filter.mem_map₂_iff Filter.mem_map₂_iff
theorem image2_mem_map₂ (hs : s ∈ f) (ht : t ∈ g) : image2 m s t ∈ map₂ m f g :=
⟨_, hs, _, ht, Subset.rfl⟩
#align filter.image2_mem_map₂ Filter.image2_mem_map₂
theorem map_prod_eq_map₂ (m : α → β → γ) (f : Filter α) (g : Filter β) :
Filter.map (fun p : α × β => m p.1 p.2) (f ×ˢ g) = map₂ m f g := by
rw [map₂, copy_eq, uncurry_def]
#align filter.map_prod_eq_map₂ Filter.map_prod_eq_map₂
theorem map_prod_eq_map₂' (m : α × β → γ) (f : Filter α) (g : Filter β) :
Filter.map m (f ×ˢ g) = map₂ (fun a b => m (a, b)) f g :=
map_prod_eq_map₂ (curry m) f g
#align filter.map_prod_eq_map₂' Filter.map_prod_eq_map₂'
@[simp]
theorem map₂_mk_eq_prod (f : Filter α) (g : Filter β) : map₂ Prod.mk f g = f ×ˢ g := by
simp only [← map_prod_eq_map₂, map_id']
#align filter.map₂_mk_eq_prod Filter.map₂_mk_eq_prod
-- lemma image2_mem_map₂_iff (hm : injective2 m) : image2 m s t ∈ map₂ m f g ↔ s ∈ f ∧ t ∈ g :=
-- ⟨by { rintro ⟨u, v, hu, hv, h⟩, rw image2_subset_image2_iff hm at h,
-- exact ⟨mem_of_superset hu h.1, mem_of_superset hv h.2⟩ }, λ h, image2_mem_map₂ h.1 h.2⟩
theorem map₂_mono (hf : f₁ ≤ f₂) (hg : g₁ ≤ g₂) : map₂ m f₁ g₁ ≤ map₂ m f₂ g₂ :=
fun _ ⟨s, hs, t, ht, hst⟩ => ⟨s, hf hs, t, hg ht, hst⟩
#align filter.map₂_mono Filter.map₂_mono
theorem map₂_mono_left (h : g₁ ≤ g₂) : map₂ m f g₁ ≤ map₂ m f g₂ :=
map₂_mono Subset.rfl h
#align filter.map₂_mono_left Filter.map₂_mono_left
theorem map₂_mono_right (h : f₁ ≤ f₂) : map₂ m f₁ g ≤ map₂ m f₂ g :=
map₂_mono h Subset.rfl
#align filter.map₂_mono_right Filter.map₂_mono_right
@[simp]
theorem le_map₂_iff {h : Filter γ} :
h ≤ map₂ m f g ↔ ∀ ⦃s⦄, s ∈ f → ∀ ⦃t⦄, t ∈ g → image2 m s t ∈ h :=
⟨fun H _ hs _ ht => H <| image2_mem_map₂ hs ht, fun H _ ⟨_, hs, _, ht, hu⟩ =>
mem_of_superset (H hs ht) hu⟩
#align filter.le_map₂_iff Filter.le_map₂_iff
@[simp]
theorem map₂_eq_bot_iff : map₂ m f g = ⊥ ↔ f = ⊥ ∨ g = ⊥ := by simp [← map_prod_eq_map₂]
#align filter.map₂_eq_bot_iff Filter.map₂_eq_bot_iff
@[simp]
theorem map₂_bot_left : map₂ m ⊥ g = ⊥ := map₂_eq_bot_iff.2 <| .inl rfl
#align filter.map₂_bot_left Filter.map₂_bot_left
@[simp]
theorem map₂_bot_right : map₂ m f ⊥ = ⊥ := map₂_eq_bot_iff.2 <| .inr rfl
#align filter.map₂_bot_right Filter.map₂_bot_right
@[simp]
theorem map₂_neBot_iff : (map₂ m f g).NeBot ↔ f.NeBot ∧ g.NeBot := by simp [neBot_iff, not_or]
#align filter.map₂_ne_bot_iff Filter.map₂_neBot_iff
protected theorem NeBot.map₂ (hf : f.NeBot) (hg : g.NeBot) : (map₂ m f g).NeBot :=
map₂_neBot_iff.2 ⟨hf, hg⟩
#align filter.ne_bot.map₂ Filter.NeBot.map₂
instance map₂.neBot [NeBot f] [NeBot g] : NeBot (map₂ m f g) := .map₂ ‹_› ‹_›
theorem NeBot.of_map₂_left (h : (map₂ m f g).NeBot) : f.NeBot :=
(map₂_neBot_iff.1 h).1
#align filter.ne_bot.of_map₂_left Filter.NeBot.of_map₂_left
theorem NeBot.of_map₂_right (h : (map₂ m f g).NeBot) : g.NeBot :=
(map₂_neBot_iff.1 h).2
#align filter.ne_bot.of_map₂_right Filter.NeBot.of_map₂_right
theorem map₂_sup_left : map₂ m (f₁ ⊔ f₂) g = map₂ m f₁ g ⊔ map₂ m f₂ g := by
simp_rw [← map_prod_eq_map₂, sup_prod, map_sup]
#align filter.map₂_sup_left Filter.map₂_sup_left
theorem map₂_sup_right : map₂ m f (g₁ ⊔ g₂) = map₂ m f g₁ ⊔ map₂ m f g₂ := by
simp_rw [← map_prod_eq_map₂, prod_sup, map_sup]
#align filter.map₂_sup_right Filter.map₂_sup_right
theorem map₂_inf_subset_left : map₂ m (f₁ ⊓ f₂) g ≤ map₂ m f₁ g ⊓ map₂ m f₂ g :=
Monotone.map_inf_le (fun _ _ ↦ map₂_mono_right) f₁ f₂
#align filter.map₂_inf_subset_left Filter.map₂_inf_subset_left
theorem map₂_inf_subset_right : map₂ m f (g₁ ⊓ g₂) ≤ map₂ m f g₁ ⊓ map₂ m f g₂ :=
Monotone.map_inf_le (fun _ _ ↦ map₂_mono_left) g₁ g₂
#align filter.map₂_inf_subset_right Filter.map₂_inf_subset_right
@[simp]
theorem map₂_pure_left : map₂ m (pure a) g = g.map (m a) := by
rw [← map_prod_eq_map₂, pure_prod, map_map]; rfl
#align filter.map₂_pure_left Filter.map₂_pure_left
@[simp]
theorem map₂_pure_right : map₂ m f (pure b) = f.map (m · b) := by
rw [← map_prod_eq_map₂, prod_pure, map_map]; rfl
#align filter.map₂_pure_right Filter.map₂_pure_right
theorem map₂_pure : map₂ m (pure a) (pure b) = pure (m a b) := by rw [map₂_pure_right, map_pure]
#align filter.map₂_pure Filter.map₂_pure
theorem map₂_swap (m : α → β → γ) (f : Filter α) (g : Filter β) :
map₂ m f g = map₂ (fun a b => m b a) g f := by
rw [← map_prod_eq_map₂, prod_comm, map_map, ← map_prod_eq_map₂, Function.comp_def]
#align filter.map₂_swap Filter.map₂_swap
@[simp]
theorem map₂_left [NeBot g] : map₂ (fun x _ => x) f g = f := by
rw [← map_prod_eq_map₂, map_fst_prod]
#align filter.map₂_left Filter.map₂_left
@[simp]
theorem map₂_right [NeBot f] : map₂ (fun _ y => y) f g = g := by rw [map₂_swap, map₂_left]
#align filter.map₂_right Filter.map₂_right
#noalign filter.map₃
#noalign filter.map₂_map₂_left
#noalign filter.map₂_map₂_right
theorem map_map₂ (m : α → β → γ) (n : γ → δ) :
(map₂ m f g).map n = map₂ (fun a b => n (m a b)) f g := by
rw [← map_prod_eq_map₂, ← map_prod_eq_map₂, map_map]; rfl
#align filter.map_map₂ Filter.map_map₂
theorem map₂_map_left (m : γ → β → δ) (n : α → γ) :
map₂ m (f.map n) g = map₂ (fun a b => m (n a) b) f g := by
rw [← map_prod_eq_map₂, ← map_prod_eq_map₂, ← @map_id _ g, prod_map_map_eq, map_map, map_id]; rfl
#align filter.map₂_map_left Filter.map₂_map_left
theorem map₂_map_right (m : α → γ → δ) (n : β → γ) :
map₂ m f (g.map n) = map₂ (fun a b => m a (n b)) f g := by
rw [map₂_swap, map₂_map_left, map₂_swap]
#align filter.map₂_map_right Filter.map₂_map_right
@[simp]
theorem map₂_curry (m : α × β → γ) (f : Filter α) (g : Filter β) :
map₂ (curry m) f g = (f ×ˢ g).map m :=
(map_prod_eq_map₂' _ _ _).symm
#align filter.map₂_curry Filter.map₂_curry
@[simp]
theorem map_uncurry_prod (m : α → β → γ) (f : Filter α) (g : Filter β) :
(f ×ˢ g).map (uncurry m) = map₂ m f g :=
(map₂_curry (uncurry m) f g).symm
#align filter.map_uncurry_prod Filter.map_uncurry_prod
theorem map₂_assoc {m : δ → γ → ε} {n : α → β → δ} {m' : α → ε' → ε} {n' : β → γ → ε'}
{h : Filter γ} (h_assoc : ∀ a b c, m (n a b) c = m' a (n' b c)) :
map₂ m (map₂ n f g) h = map₂ m' f (map₂ n' g h) := by
rw [← map_prod_eq_map₂ n, ← map_prod_eq_map₂ n', map₂_map_left, map₂_map_right,
← map_prod_eq_map₂, ← map_prod_eq_map₂, ← prod_assoc, map_map]
simp only [h_assoc, Function.comp, Equiv.prodAssoc_apply]
#align filter.map₂_assoc Filter.map₂_assoc
theorem map₂_comm {n : β → α → γ} (h_comm : ∀ a b, m a b = n b a) : map₂ m f g = map₂ n g f :=
(map₂_swap _ _ _).trans <| by simp_rw [h_comm]
#align filter.map₂_comm Filter.map₂_comm
theorem map₂_left_comm {m : α → δ → ε} {n : β → γ → δ} {m' : α → γ → δ'} {n' : β → δ' → ε}
(h_left_comm : ∀ a b c, m a (n b c) = n' b (m' a c)) :
map₂ m f (map₂ n g h) = map₂ n' g (map₂ m' f h) := by
rw [map₂_swap m', map₂_swap m]
exact map₂_assoc fun _ _ _ => h_left_comm _ _ _
#align filter.map₂_left_comm Filter.map₂_left_comm
theorem map₂_right_comm {m : δ → γ → ε} {n : α → β → δ} {m' : α → γ → δ'} {n' : δ' → β → ε}
(h_right_comm : ∀ a b c, m (n a b) c = n' (m' a c) b) :
map₂ m (map₂ n f g) h = map₂ n' (map₂ m' f h) g := by
rw [map₂_swap n, map₂_swap n']
exact map₂_assoc fun _ _ _ => h_right_comm _ _ _
#align filter.map₂_right_comm Filter.map₂_right_comm
theorem map_map₂_distrib {n : γ → δ} {m' : α' → β' → δ} {n₁ : α → α'} {n₂ : β → β'}
(h_distrib : ∀ a b, n (m a b) = m' (n₁ a) (n₂ b)) :
(map₂ m f g).map n = map₂ m' (f.map n₁) (g.map n₂) := by
simp_rw [map_map₂, map₂_map_left, map₂_map_right, h_distrib]
#align filter.map_map₂_distrib Filter.map_map₂_distrib
theorem map_map₂_distrib_left {n : γ → δ} {m' : α' → β → δ} {n' : α → α'}
(h_distrib : ∀ a b, n (m a b) = m' (n' a) b) : (map₂ m f g).map n = map₂ m' (f.map n') g :=
map_map₂_distrib h_distrib
#align filter.map_map₂_distrib_left Filter.map_map₂_distrib_left
theorem map_map₂_distrib_right {n : γ → δ} {m' : α → β' → δ} {n' : β → β'}
(h_distrib : ∀ a b, n (m a b) = m' a (n' b)) : (map₂ m f g).map n = map₂ m' f (g.map n') :=
map_map₂_distrib h_distrib
#align filter.map_map₂_distrib_right Filter.map_map₂_distrib_right
theorem map₂_map_left_comm {m : α' → β → γ} {n : α → α'} {m' : α → β → δ} {n' : δ → γ}
(h_left_comm : ∀ a b, m (n a) b = n' (m' a b)) : map₂ m (f.map n) g = (map₂ m' f g).map n' :=
(map_map₂_distrib_left fun a b => (h_left_comm a b).symm).symm
#align filter.map₂_map_left_comm Filter.map₂_map_left_comm
theorem map_map₂_right_comm {m : α → β' → γ} {n : β → β'} {m' : α → β → δ} {n' : δ → γ}
(h_right_comm : ∀ a b, m a (n b) = n' (m' a b)) : map₂ m f (g.map n) = (map₂ m' f g).map n' :=
(map_map₂_distrib_right fun a b => (h_right_comm a b).symm).symm
#align filter.map_map₂_right_comm Filter.map_map₂_right_comm
| Mathlib/Order/Filter/NAry.lean | 261 | 268 | theorem map₂_distrib_le_left {m : α → δ → ε} {n : β → γ → δ} {m₁ : α → β → β'} {m₂ : α → γ → γ'}
{n' : β' → γ' → ε} (h_distrib : ∀ a b c, m a (n b c) = n' (m₁ a b) (m₂ a c)) :
map₂ m f (map₂ n g h) ≤ map₂ n' (map₂ m₁ f g) (map₂ m₂ f h) := by |
rintro s ⟨t₁, ⟨u₁, hu₁, v, hv, ht₁⟩, t₂, ⟨u₂, hu₂, w, hw, ht₂⟩, hs⟩
refine ⟨u₁ ∩ u₂, inter_mem hu₁ hu₂, _, image2_mem_map₂ hv hw, ?_⟩
refine (image2_distrib_subset_left h_distrib).trans ((image2_subset ?_ ?_).trans hs)
· exact (image2_subset_right inter_subset_left).trans ht₁
· exact (image2_subset_right inter_subset_right).trans ht₂
|
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'
| Mathlib/RingTheory/Polynomial/Bernstein.lean | 86 | 90 | 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]
|
import Mathlib.Algebra.Algebra.Operations
import Mathlib.Algebra.Algebra.Subalgebra.Basic
import Mathlib.Algebra.DirectSum.Algebra
#align_import algebra.direct_sum.internal from "leanprover-community/mathlib"@"9936c3dfc04e5876f4368aeb2e60f8d8358d095a"
open DirectSum
variable {ι : Type*} {σ S R : Type*}
instance AddCommMonoid.ofSubmonoidOnSemiring [Semiring R] [SetLike σ R] [AddSubmonoidClass σ R]
(A : ι → σ) : ∀ i, AddCommMonoid (A i) := fun i => by infer_instance
#align add_comm_monoid.of_submonoid_on_semiring AddCommMonoid.ofSubmonoidOnSemiring
instance AddCommGroup.ofSubgroupOnRing [Ring R] [SetLike σ R] [AddSubgroupClass σ R] (A : ι → σ) :
∀ i, AddCommGroup (A i) := fun i => by infer_instance
#align add_comm_group.of_subgroup_on_ring AddCommGroup.ofSubgroupOnRing
theorem SetLike.algebraMap_mem_graded [Zero ι] [CommSemiring S] [Semiring R] [Algebra S R]
(A : ι → Submodule S R) [SetLike.GradedOne A] (s : S) : algebraMap S R s ∈ A 0 := by
rw [Algebra.algebraMap_eq_smul_one]
exact (A 0).smul_mem s <| SetLike.one_mem_graded _
#align set_like.algebra_map_mem_graded SetLike.algebraMap_mem_graded
theorem SetLike.natCast_mem_graded [Zero ι] [AddMonoidWithOne R] [SetLike σ R]
[AddSubmonoidClass σ R] (A : ι → σ) [SetLike.GradedOne A] (n : ℕ) : (n : R) ∈ A 0 := by
induction' n with _ n_ih
· rw [Nat.cast_zero]
exact zero_mem (A 0)
· rw [Nat.cast_succ]
exact add_mem n_ih (SetLike.one_mem_graded _)
#align set_like.nat_cast_mem_graded SetLike.natCast_mem_graded
@[deprecated (since := "2024-04-17")]
alias SetLike.nat_cast_mem_graded := SetLike.natCast_mem_graded
| Mathlib/Algebra/DirectSum/Internal.lean | 74 | 80 | theorem SetLike.intCast_mem_graded [Zero ι] [AddGroupWithOne R] [SetLike σ R]
[AddSubgroupClass σ R] (A : ι → σ) [SetLike.GradedOne A] (z : ℤ) : (z : R) ∈ A 0 := by |
induction z
· rw [Int.ofNat_eq_coe, Int.cast_natCast]
exact SetLike.natCast_mem_graded _ _
· rw [Int.cast_negSucc]
exact neg_mem (SetLike.natCast_mem_graded _ _)
|
import Mathlib.RingTheory.Ideal.Maps
#align_import ring_theory.ideal.prod from "leanprover-community/mathlib"@"052f6013363326d50cb99c6939814a4b8eb7b301"
universe u v
variable {R : Type u} {S : Type v} [Semiring R] [Semiring S] (I I' : Ideal R) (J J' : Ideal S)
namespace Ideal
def prod : Ideal (R × S) where
carrier := { x | x.fst ∈ I ∧ x.snd ∈ J }
zero_mem' := by simp
add_mem' := by
rintro ⟨a₁, a₂⟩ ⟨b₁, b₂⟩ ⟨ha₁, ha₂⟩ ⟨hb₁, hb₂⟩
exact ⟨I.add_mem ha₁ hb₁, J.add_mem ha₂ hb₂⟩
smul_mem' := by
rintro ⟨a₁, a₂⟩ ⟨b₁, b₂⟩ ⟨hb₁, hb₂⟩
exact ⟨I.mul_mem_left _ hb₁, J.mul_mem_left _ hb₂⟩
#align ideal.prod Ideal.prod
@[simp]
theorem mem_prod {r : R} {s : S} : (⟨r, s⟩ : R × S) ∈ prod I J ↔ r ∈ I ∧ s ∈ J :=
Iff.rfl
#align ideal.mem_prod Ideal.mem_prod
@[simp]
theorem prod_top_top : prod (⊤ : Ideal R) (⊤ : Ideal S) = ⊤ :=
Ideal.ext <| by simp
#align ideal.prod_top_top Ideal.prod_top_top
theorem ideal_prod_eq (I : Ideal (R × S)) :
I = Ideal.prod (map (RingHom.fst R S) I : Ideal R) (map (RingHom.snd R S) I) := by
apply Ideal.ext
rintro ⟨r, s⟩
rw [mem_prod, mem_map_iff_of_surjective (RingHom.fst R S) Prod.fst_surjective,
mem_map_iff_of_surjective (RingHom.snd R S) Prod.snd_surjective]
refine ⟨fun h => ⟨⟨_, ⟨h, rfl⟩⟩, ⟨_, ⟨h, rfl⟩⟩⟩, ?_⟩
rintro ⟨⟨⟨r, s'⟩, ⟨h₁, rfl⟩⟩, ⟨⟨r', s⟩, ⟨h₂, rfl⟩⟩⟩
simpa using I.add_mem (I.mul_mem_left (1, 0) h₁) (I.mul_mem_left (0, 1) h₂)
#align ideal.ideal_prod_eq Ideal.ideal_prod_eq
@[simp]
theorem map_fst_prod (I : Ideal R) (J : Ideal S) : map (RingHom.fst R S) (prod I J) = I := by
ext x
rw [mem_map_iff_of_surjective (RingHom.fst R S) Prod.fst_surjective]
exact
⟨by
rintro ⟨x, ⟨h, rfl⟩⟩
exact h.1, fun h => ⟨⟨x, 0⟩, ⟨⟨h, Ideal.zero_mem _⟩, rfl⟩⟩⟩
#align ideal.map_fst_prod Ideal.map_fst_prod
@[simp]
theorem map_snd_prod (I : Ideal R) (J : Ideal S) : map (RingHom.snd R S) (prod I J) = J := by
ext x
rw [mem_map_iff_of_surjective (RingHom.snd R S) Prod.snd_surjective]
exact
⟨by
rintro ⟨x, ⟨h, rfl⟩⟩
exact h.2, fun h => ⟨⟨0, x⟩, ⟨⟨Ideal.zero_mem _, h⟩, rfl⟩⟩⟩
#align ideal.map_snd_prod Ideal.map_snd_prod
@[simp]
theorem map_prodComm_prod :
map ((RingEquiv.prodComm : R × S ≃+* S × R) : R × S →+* S × R) (prod I J) = prod J I := by
refine Trans.trans (ideal_prod_eq _) ?_
simp [map_map]
#align ideal.map_prod_comm_prod Ideal.map_prodComm_prod
def idealProdEquiv : Ideal (R × S) ≃ Ideal R × Ideal S where
toFun I := ⟨map (RingHom.fst R S) I, map (RingHom.snd R S) I⟩
invFun I := prod I.1 I.2
left_inv I := (ideal_prod_eq I).symm
right_inv := fun ⟨I, J⟩ => by simp
#align ideal.ideal_prod_equiv Ideal.idealProdEquiv
@[simp]
theorem idealProdEquiv_symm_apply (I : Ideal R) (J : Ideal S) :
idealProdEquiv.symm ⟨I, J⟩ = prod I J :=
rfl
#align ideal.ideal_prod_equiv_symm_apply Ideal.idealProdEquiv_symm_apply
theorem prod.ext_iff {I I' : Ideal R} {J J' : Ideal S} :
prod I J = prod I' J' ↔ I = I' ∧ J = J' := by
simp only [← idealProdEquiv_symm_apply, idealProdEquiv.symm.injective.eq_iff, Prod.mk.inj_iff]
#align ideal.prod.ext_iff Ideal.prod.ext_iff
theorem isPrime_of_isPrime_prod_top {I : Ideal R} (h : (Ideal.prod I (⊤ : Ideal S)).IsPrime) :
I.IsPrime := by
constructor
· contrapose! h
rw [h, prod_top_top, isPrime_iff]
simp [isPrime_iff, h]
· intro x y hxy
have : (⟨x, 1⟩ : R × S) * ⟨y, 1⟩ ∈ prod I ⊤ := by
rw [Prod.mk_mul_mk, mul_one, mem_prod]
exact ⟨hxy, trivial⟩
simpa using h.mem_or_mem this
#align ideal.is_prime_of_is_prime_prod_top Ideal.isPrime_of_isPrime_prod_top
theorem isPrime_of_isPrime_prod_top' {I : Ideal S} (h : (Ideal.prod (⊤ : Ideal R) I).IsPrime) :
I.IsPrime := by
apply isPrime_of_isPrime_prod_top (S := R)
rw [← map_prodComm_prod]
-- Note: couldn't synthesize the right instances without the `R` and `S` hints
exact map_isPrime_of_equiv (RingEquiv.prodComm (R := R) (S := S))
#align ideal.is_prime_of_is_prime_prod_top' Ideal.isPrime_of_isPrime_prod_top'
theorem isPrime_ideal_prod_top {I : Ideal R} [h : I.IsPrime] : (prod I (⊤ : Ideal S)).IsPrime := by
constructor
· rcases h with ⟨h, -⟩
contrapose! h
rw [← prod_top_top, prod.ext_iff] at h
exact h.1
rintro ⟨r₁, s₁⟩ ⟨r₂, s₂⟩ ⟨h₁, _⟩
cases' h.mem_or_mem h₁ with h h
· exact Or.inl ⟨h, trivial⟩
· exact Or.inr ⟨h, trivial⟩
#align ideal.is_prime_ideal_prod_top Ideal.isPrime_ideal_prod_top
theorem isPrime_ideal_prod_top' {I : Ideal S} [h : I.IsPrime] : (prod (⊤ : Ideal R) I).IsPrime := by
letI : IsPrime (prod I (⊤ : Ideal R)) := isPrime_ideal_prod_top
rw [← map_prodComm_prod]
-- Note: couldn't synthesize the right instances without the `R` and `S` hints
exact map_isPrime_of_equiv (RingEquiv.prodComm (R := S) (S := R))
#align ideal.is_prime_ideal_prod_top' Ideal.isPrime_ideal_prod_top'
| Mathlib/RingTheory/Ideal/Prod.lean | 148 | 152 | theorem ideal_prod_prime_aux {I : Ideal R} {J : Ideal S} :
(Ideal.prod I J).IsPrime → I = ⊤ ∨ J = ⊤ := by |
contrapose!
simp only [ne_top_iff_one, isPrime_iff, not_and, not_forall, not_or]
exact fun ⟨hI, hJ⟩ _ => ⟨⟨0, 1⟩, ⟨1, 0⟩, by simp, by simp [hJ], by simp [hI]⟩
|
import Mathlib.LinearAlgebra.Matrix.ToLin
import Mathlib.LinearAlgebra.Quotient
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.RingTheory.Nilpotent.Defs
#align_import ring_theory.nilpotent from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
universe u v
open Function Set
variable {R S : Type*} {x y : R}
| Mathlib/RingTheory/Nilpotent/Lemmas.lean | 25 | 29 | theorem RingHom.ker_isRadical_iff_reduced_of_surjective {S F} [CommSemiring R] [CommRing S]
[FunLike F R S] [RingHomClass F R S] {f : F} (hf : Function.Surjective f) :
(RingHom.ker f).IsRadical ↔ IsReduced S := by |
simp_rw [isReduced_iff, hf.forall, IsNilpotent, ← map_pow, ← RingHom.mem_ker]
rfl
|
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Range
#align_import data.list.nat_antidiagonal from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213"
open List Function Nat
namespace List
namespace Nat
def antidiagonal (n : ℕ) : List (ℕ × ℕ) :=
(range (n + 1)).map fun i ↦ (i, n - i)
#align list.nat.antidiagonal List.Nat.antidiagonal
@[simp]
theorem mem_antidiagonal {n : ℕ} {x : ℕ × ℕ} : x ∈ antidiagonal n ↔ x.1 + x.2 = n := by
rw [antidiagonal, mem_map]; constructor
· rintro ⟨i, hi, rfl⟩
rw [mem_range, Nat.lt_succ_iff] at hi
exact Nat.add_sub_cancel' hi
· rintro rfl
refine ⟨x.fst, ?_, ?_⟩
· rw [mem_range]
omega
· exact Prod.ext rfl (by simp only [Nat.add_sub_cancel_left])
#align list.nat.mem_antidiagonal List.Nat.mem_antidiagonal
@[simp]
theorem length_antidiagonal (n : ℕ) : (antidiagonal n).length = n + 1 := by
rw [antidiagonal, length_map, length_range]
#align list.nat.length_antidiagonal List.Nat.length_antidiagonal
@[simp]
theorem antidiagonal_zero : antidiagonal 0 = [(0, 0)] :=
rfl
#align list.nat.antidiagonal_zero List.Nat.antidiagonal_zero
theorem nodup_antidiagonal (n : ℕ) : Nodup (antidiagonal n) :=
(nodup_range _).map ((@LeftInverse.injective ℕ (ℕ × ℕ) Prod.fst fun i ↦ (i, n - i)) fun _ ↦ rfl)
#align list.nat.nodup_antidiagonal List.Nat.nodup_antidiagonal
@[simp]
theorem antidiagonal_succ {n : ℕ} :
antidiagonal (n + 1) = (0, n + 1) :: (antidiagonal n).map (Prod.map Nat.succ id) := by
simp only [antidiagonal, range_succ_eq_map, map_cons, true_and_iff, Nat.add_succ_sub_one,
Nat.add_zero, id, eq_self_iff_true, Nat.sub_zero, map_map, Prod.map_mk]
apply congr rfl (congr rfl _)
ext; simp
#align list.nat.antidiagonal_succ List.Nat.antidiagonal_succ
theorem antidiagonal_succ' {n : ℕ} :
antidiagonal (n + 1) = (antidiagonal n).map (Prod.map id Nat.succ) ++ [(n + 1, 0)] := by
simp only [antidiagonal, range_succ, Nat.add_sub_cancel_left, map_append, append_assoc,
Nat.sub_self, singleton_append, map_map, map]
congr 1
apply map_congr
simp (config := { contextual := true }) [le_of_lt, Nat.succ_eq_add_one, Nat.sub_add_comm]
#align list.nat.antidiagonal_succ' List.Nat.antidiagonal_succ'
theorem antidiagonal_succ_succ' {n : ℕ} :
antidiagonal (n + 2) =
(0, n + 2) :: (antidiagonal n).map (Prod.map Nat.succ Nat.succ) ++ [(n + 2, 0)] := by
rw [antidiagonal_succ']
simp only [antidiagonal_succ, map_cons, Prod.map_apply, id_eq, map_map, cons_append, cons.injEq,
append_cancel_right_eq, true_and]
ext
simp
#align list.nat.antidiagonal_succ_succ' List.Nat.antidiagonal_succ_succ'
| Mathlib/Data/List/NatAntidiagonal.lean | 95 | 100 | theorem map_swap_antidiagonal {n : ℕ} :
(antidiagonal n).map Prod.swap = (antidiagonal n).reverse := by |
rw [antidiagonal, map_map, ← List.map_reverse, range_eq_range', reverse_range', ←
range_eq_range', map_map]
apply map_congr
simp (config := { contextual := true }) [Nat.sub_sub_self, Nat.lt_succ_iff]
|
import Mathlib.MeasureTheory.Group.GeometryOfNumbers
import Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls
import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.Basic
#align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30"
variable (K : Type*) [Field K]
namespace NumberField.mixedEmbedding
open NumberField NumberField.InfinitePlace FiniteDimensional
local notation "E" K =>
({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ)
section convexBodyLT
open Metric NNReal
variable (f : InfinitePlace K → ℝ≥0)
abbrev convexBodyLT : Set (E K) :=
(Set.univ.pi (fun w : { w : InfinitePlace K // IsReal w } => ball 0 (f w))) ×ˢ
(Set.univ.pi (fun w : { w : InfinitePlace K // IsComplex w } => ball 0 (f w)))
theorem convexBodyLT_mem {x : K} :
mixedEmbedding K x ∈ (convexBodyLT K f) ↔ ∀ w : InfinitePlace K, w x < f w := by
simp_rw [mixedEmbedding, RingHom.prod_apply, Set.mem_prod, Set.mem_pi, Set.mem_univ,
forall_true_left, mem_ball_zero_iff, Pi.ringHom_apply, ← Complex.norm_real,
embedding_of_isReal_apply, Subtype.forall, ← forall₂_or_left, ← not_isReal_iff_isComplex, em,
forall_true_left, norm_embedding_eq]
theorem convexBodyLT_neg_mem (x : E K) (hx : x ∈ (convexBodyLT K f)) :
-x ∈ (convexBodyLT K f) := by
simp only [Set.mem_prod, Prod.fst_neg, Set.mem_pi, Set.mem_univ, Pi.neg_apply,
mem_ball_zero_iff, norm_neg, Real.norm_eq_abs, forall_true_left, Subtype.forall,
Prod.snd_neg, Complex.norm_eq_abs] at hx ⊢
exact hx
theorem convexBodyLT_convex : Convex ℝ (convexBodyLT K f) :=
Convex.prod (convex_pi (fun _ _ => convex_ball _ _)) (convex_pi (fun _ _ => convex_ball _ _))
open Fintype MeasureTheory MeasureTheory.Measure ENNReal
open scoped Classical
variable [NumberField K]
instance : IsAddHaarMeasure (volume : Measure (E K)) := prod.instIsAddHaarMeasure volume volume
instance : NoAtoms (volume : Measure (E K)) := by
obtain ⟨w⟩ := (inferInstance : Nonempty (InfinitePlace K))
by_cases hw : IsReal w
· exact @prod.instNoAtoms_fst _ _ _ _ volume volume _ (pi_noAtoms ⟨w, hw⟩)
· exact @prod.instNoAtoms_snd _ _ _ _ volume volume _
(pi_noAtoms ⟨w, not_isReal_iff_isComplex.mp hw⟩)
noncomputable abbrev convexBodyLTFactor : ℝ≥0 :=
(2 : ℝ≥0) ^ NrRealPlaces K * NNReal.pi ^ NrComplexPlaces K
theorem convexBodyLTFactor_ne_zero : convexBodyLTFactor K ≠ 0 :=
mul_ne_zero (pow_ne_zero _ two_ne_zero) (pow_ne_zero _ pi_ne_zero)
theorem one_le_convexBodyLTFactor : 1 ≤ convexBodyLTFactor K :=
one_le_mul₀ (one_le_pow_of_one_le one_le_two _)
(one_le_pow_of_one_le (le_trans one_le_two Real.two_le_pi) _)
theorem convexBodyLT_volume :
volume (convexBodyLT K f) = (convexBodyLTFactor K) * ∏ w, (f w) ^ (mult w) := by
calc
_ = (∏ x : {w // InfinitePlace.IsReal w}, ENNReal.ofReal (2 * (f x.val))) *
∏ x : {w // InfinitePlace.IsComplex w}, ENNReal.ofReal (f x.val) ^ 2 * NNReal.pi := by
simp_rw [volume_eq_prod, prod_prod, volume_pi, pi_pi, Real.volume_ball, Complex.volume_ball]
_ = ((2:ℝ≥0) ^ NrRealPlaces K * (∏ x : {w // InfinitePlace.IsReal w}, ENNReal.ofReal (f x.val)))
* ((∏ x : {w // IsComplex w}, ENNReal.ofReal (f x.val) ^ 2) *
NNReal.pi ^ NrComplexPlaces K) := by
simp_rw [ofReal_mul (by norm_num : 0 ≤ (2 : ℝ)), Finset.prod_mul_distrib, Finset.prod_const,
Finset.card_univ, ofReal_ofNat, ofReal_coe_nnreal, coe_ofNat]
_ = (convexBodyLTFactor K) * ((∏ x : {w // InfinitePlace.IsReal w}, .ofReal (f x.val)) *
(∏ x : {w // IsComplex w}, ENNReal.ofReal (f x.val) ^ 2)) := by
simp_rw [convexBodyLTFactor, coe_mul, ENNReal.coe_pow]
ring
_ = (convexBodyLTFactor K) * ∏ w, (f w) ^ (mult w) := by
simp_rw [mult, pow_ite, pow_one, Finset.prod_ite, ofReal_coe_nnreal, not_isReal_iff_isComplex,
coe_mul, coe_finset_prod, ENNReal.coe_pow]
congr 2
· refine (Finset.prod_subtype (Finset.univ.filter _) ?_ (fun w => (f w : ℝ≥0∞))).symm
exact fun _ => by simp only [Finset.mem_univ, forall_true_left, Finset.mem_filter, true_and]
· refine (Finset.prod_subtype (Finset.univ.filter _) ?_ (fun w => (f w : ℝ≥0∞) ^ 2)).symm
exact fun _ => by simp only [Finset.mem_univ, forall_true_left, Finset.mem_filter, true_and]
variable {f}
| Mathlib/NumberTheory/NumberField/CanonicalEmbedding/ConvexBody.lean | 137 | 148 | theorem adjust_f {w₁ : InfinitePlace K} (B : ℝ≥0) (hf : ∀ w, w ≠ w₁ → f w ≠ 0) :
∃ g : InfinitePlace K → ℝ≥0, (∀ w, w ≠ w₁ → g w = f w) ∧ ∏ w, (g w) ^ mult w = B := by |
let S := ∏ w ∈ Finset.univ.erase w₁, (f w) ^ mult w
refine ⟨Function.update f w₁ ((B * S⁻¹) ^ (mult w₁ : ℝ)⁻¹), ?_, ?_⟩
· exact fun w hw => Function.update_noteq hw _ f
· rw [← Finset.mul_prod_erase Finset.univ _ (Finset.mem_univ w₁), Function.update_same,
Finset.prod_congr rfl fun w hw => by rw [Function.update_noteq (Finset.ne_of_mem_erase hw)],
← NNReal.rpow_natCast, ← NNReal.rpow_mul, inv_mul_cancel, NNReal.rpow_one, mul_assoc,
inv_mul_cancel, mul_one]
· rw [Finset.prod_ne_zero_iff]
exact fun w hw => pow_ne_zero _ (hf w (Finset.ne_of_mem_erase hw))
· rw [mult]; split_ifs <;> norm_num
|
import Mathlib.Analysis.Calculus.FormalMultilinearSeries
import Mathlib.Analysis.SpecificLimits.Normed
import Mathlib.Logic.Equiv.Fin
import Mathlib.Topology.Algebra.InfiniteSum.Module
#align_import analysis.analytic.basic from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
noncomputable section
variable {𝕜 E F G : Type*}
open scoped Classical
open Topology NNReal Filter ENNReal
open Set Filter Asymptotics
variable [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] [NormedAddCommGroup F]
[NormedSpace 𝕜 F] [NormedAddCommGroup G] [NormedSpace 𝕜 G]
namespace FormalMultilinearSeries
variable (p : FormalMultilinearSeries 𝕜 E F) {r : ℝ≥0}
def radius (p : FormalMultilinearSeries 𝕜 E F) : ℝ≥0∞ :=
⨆ (r : ℝ≥0) (C : ℝ) (_ : ∀ n, ‖p n‖ * (r : ℝ) ^ n ≤ C), (r : ℝ≥0∞)
#align formal_multilinear_series.radius FormalMultilinearSeries.radius
theorem le_radius_of_bound (C : ℝ) {r : ℝ≥0} (h : ∀ n : ℕ, ‖p n‖ * (r : ℝ) ^ n ≤ C) :
(r : ℝ≥0∞) ≤ p.radius :=
le_iSup_of_le r <| le_iSup_of_le C <| le_iSup (fun _ => (r : ℝ≥0∞)) h
#align formal_multilinear_series.le_radius_of_bound FormalMultilinearSeries.le_radius_of_bound
theorem le_radius_of_bound_nnreal (C : ℝ≥0) {r : ℝ≥0} (h : ∀ n : ℕ, ‖p n‖₊ * r ^ n ≤ C) :
(r : ℝ≥0∞) ≤ p.radius :=
p.le_radius_of_bound C fun n => mod_cast h n
#align formal_multilinear_series.le_radius_of_bound_nnreal FormalMultilinearSeries.le_radius_of_bound_nnreal
theorem le_radius_of_isBigO (h : (fun n => ‖p n‖ * (r : ℝ) ^ n) =O[atTop] fun _ => (1 : ℝ)) :
↑r ≤ p.radius :=
Exists.elim (isBigO_one_nat_atTop_iff.1 h) fun C hC =>
p.le_radius_of_bound C fun n => (le_abs_self _).trans (hC n)
set_option linter.uppercaseLean3 false in
#align formal_multilinear_series.le_radius_of_is_O FormalMultilinearSeries.le_radius_of_isBigO
theorem le_radius_of_eventually_le (C) (h : ∀ᶠ n in atTop, ‖p n‖ * (r : ℝ) ^ n ≤ C) :
↑r ≤ p.radius :=
p.le_radius_of_isBigO <| IsBigO.of_bound C <| h.mono fun n hn => by simpa
#align formal_multilinear_series.le_radius_of_eventually_le FormalMultilinearSeries.le_radius_of_eventually_le
theorem le_radius_of_summable_nnnorm (h : Summable fun n => ‖p n‖₊ * r ^ n) : ↑r ≤ p.radius :=
p.le_radius_of_bound_nnreal (∑' n, ‖p n‖₊ * r ^ n) fun _ => le_tsum' h _
#align formal_multilinear_series.le_radius_of_summable_nnnorm FormalMultilinearSeries.le_radius_of_summable_nnnorm
theorem le_radius_of_summable (h : Summable fun n => ‖p n‖ * (r : ℝ) ^ n) : ↑r ≤ p.radius :=
p.le_radius_of_summable_nnnorm <| by
simp only [← coe_nnnorm] at h
exact mod_cast h
#align formal_multilinear_series.le_radius_of_summable FormalMultilinearSeries.le_radius_of_summable
theorem radius_eq_top_of_forall_nnreal_isBigO
(h : ∀ r : ℝ≥0, (fun n => ‖p n‖ * (r : ℝ) ^ n) =O[atTop] fun _ => (1 : ℝ)) : p.radius = ∞ :=
ENNReal.eq_top_of_forall_nnreal_le fun r => p.le_radius_of_isBigO (h r)
set_option linter.uppercaseLean3 false in
#align formal_multilinear_series.radius_eq_top_of_forall_nnreal_is_O FormalMultilinearSeries.radius_eq_top_of_forall_nnreal_isBigO
theorem radius_eq_top_of_eventually_eq_zero (h : ∀ᶠ n in atTop, p n = 0) : p.radius = ∞ :=
p.radius_eq_top_of_forall_nnreal_isBigO fun r =>
(isBigO_zero _ _).congr' (h.mono fun n hn => by simp [hn]) EventuallyEq.rfl
#align formal_multilinear_series.radius_eq_top_of_eventually_eq_zero FormalMultilinearSeries.radius_eq_top_of_eventually_eq_zero
theorem radius_eq_top_of_forall_image_add_eq_zero (n : ℕ) (hn : ∀ m, p (m + n) = 0) :
p.radius = ∞ :=
p.radius_eq_top_of_eventually_eq_zero <|
mem_atTop_sets.2 ⟨n, fun _ hk => tsub_add_cancel_of_le hk ▸ hn _⟩
#align formal_multilinear_series.radius_eq_top_of_forall_image_add_eq_zero FormalMultilinearSeries.radius_eq_top_of_forall_image_add_eq_zero
@[simp]
theorem constFormalMultilinearSeries_radius {v : F} :
(constFormalMultilinearSeries 𝕜 E v).radius = ⊤ :=
(constFormalMultilinearSeries 𝕜 E v).radius_eq_top_of_forall_image_add_eq_zero 1
(by simp [constFormalMultilinearSeries])
#align formal_multilinear_series.const_formal_multilinear_series_radius FormalMultilinearSeries.constFormalMultilinearSeries_radius
theorem isLittleO_of_lt_radius (h : ↑r < p.radius) :
∃ a ∈ Ioo (0 : ℝ) 1, (fun n => ‖p n‖ * (r : ℝ) ^ n) =o[atTop] (a ^ ·) := by
have := (TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * (r : ℝ) ^ n) 1).out 1 4
rw [this]
-- Porting note: was
-- rw [(TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * (r : ℝ) ^ n) 1).out 1 4]
simp only [radius, lt_iSup_iff] at h
rcases h with ⟨t, C, hC, rt⟩
rw [ENNReal.coe_lt_coe, ← NNReal.coe_lt_coe] at rt
have : 0 < (t : ℝ) := r.coe_nonneg.trans_lt rt
rw [← div_lt_one this] at rt
refine ⟨_, rt, C, Or.inr zero_lt_one, fun n => ?_⟩
calc
|‖p n‖ * (r : ℝ) ^ n| = ‖p n‖ * (t : ℝ) ^ n * (r / t : ℝ) ^ n := by
field_simp [mul_right_comm, abs_mul]
_ ≤ C * (r / t : ℝ) ^ n := by gcongr; apply hC
#align formal_multilinear_series.is_o_of_lt_radius FormalMultilinearSeries.isLittleO_of_lt_radius
theorem isLittleO_one_of_lt_radius (h : ↑r < p.radius) :
(fun n => ‖p n‖ * (r : ℝ) ^ n) =o[atTop] (fun _ => 1 : ℕ → ℝ) :=
let ⟨_, ha, hp⟩ := p.isLittleO_of_lt_radius h
hp.trans <| (isLittleO_pow_pow_of_lt_left ha.1.le ha.2).congr (fun _ => rfl) one_pow
#align formal_multilinear_series.is_o_one_of_lt_radius FormalMultilinearSeries.isLittleO_one_of_lt_radius
theorem norm_mul_pow_le_mul_pow_of_lt_radius (h : ↑r < p.radius) :
∃ a ∈ Ioo (0 : ℝ) 1, ∃ C > 0, ∀ n, ‖p n‖ * (r : ℝ) ^ n ≤ C * a ^ n := by
-- Porting note: moved out of `rcases`
have := ((TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * (r : ℝ) ^ n) 1).out 1 5).mp
(p.isLittleO_of_lt_radius h)
rcases this with ⟨a, ha, C, hC, H⟩
exact ⟨a, ha, C, hC, fun n => (le_abs_self _).trans (H n)⟩
#align formal_multilinear_series.norm_mul_pow_le_mul_pow_of_lt_radius FormalMultilinearSeries.norm_mul_pow_le_mul_pow_of_lt_radius
| Mathlib/Analysis/Analytic/Basic.lean | 224 | 237 | theorem lt_radius_of_isBigO (h₀ : r ≠ 0) {a : ℝ} (ha : a ∈ Ioo (-1 : ℝ) 1)
(hp : (fun n => ‖p n‖ * (r : ℝ) ^ n) =O[atTop] (a ^ ·)) : ↑r < p.radius := by |
-- Porting note: moved out of `rcases`
have := ((TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * (r : ℝ) ^ n) 1).out 2 5)
rcases this.mp ⟨a, ha, hp⟩ with ⟨a, ha, C, hC, hp⟩
rw [← pos_iff_ne_zero, ← NNReal.coe_pos] at h₀
lift a to ℝ≥0 using ha.1.le
have : (r : ℝ) < r / a := by
simpa only [div_one] using (div_lt_div_left h₀ zero_lt_one ha.1).2 ha.2
norm_cast at this
rw [← ENNReal.coe_lt_coe] at this
refine this.trans_le (p.le_radius_of_bound C fun n => ?_)
rw [NNReal.coe_div, div_pow, ← mul_div_assoc, div_le_iff (pow_pos ha.1 n)]
exact (le_abs_self _).trans (hp n)
|
import Mathlib.Topology.UniformSpace.Cauchy
import Mathlib.Topology.UniformSpace.Separation
import Mathlib.Topology.DenseEmbedding
#align_import topology.uniform_space.uniform_embedding from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c"
open Filter Function Set Uniformity Topology
section
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w} [UniformSpace α] [UniformSpace β] [UniformSpace γ]
@[mk_iff]
structure UniformInducing (f : α → β) : Prop where
comap_uniformity : comap (fun x : α × α => (f x.1, f x.2)) (𝓤 β) = 𝓤 α
#align uniform_inducing UniformInducing
#align uniform_inducing_iff uniformInducing_iff
lemma uniformInducing_iff_uniformSpace {f : α → β} :
UniformInducing f ↔ ‹UniformSpace β›.comap f = ‹UniformSpace α› := by
rw [uniformInducing_iff, UniformSpace.ext_iff, Filter.ext_iff]
rfl
protected alias ⟨UniformInducing.comap_uniformSpace, _⟩ := uniformInducing_iff_uniformSpace
#align uniform_inducing.comap_uniform_space UniformInducing.comap_uniformSpace
lemma uniformInducing_iff' {f : α → β} :
UniformInducing f ↔ UniformContinuous f ∧ comap (Prod.map f f) (𝓤 β) ≤ 𝓤 α := by
rw [uniformInducing_iff, UniformContinuous, tendsto_iff_comap, le_antisymm_iff, and_comm]; rfl
#align uniform_inducing_iff' uniformInducing_iff'
protected lemma Filter.HasBasis.uniformInducing_iff {ι ι'} {p : ι → Prop} {p' : ι' → Prop} {s s'}
(h : (𝓤 α).HasBasis p s) (h' : (𝓤 β).HasBasis p' s') {f : α → β} :
UniformInducing f ↔
(∀ i, p' i → ∃ j, p j ∧ ∀ x y, (x, y) ∈ s j → (f x, f y) ∈ s' i) ∧
(∀ j, p j → ∃ i, p' i ∧ ∀ x y, (f x, f y) ∈ s' i → (x, y) ∈ s j) := by
simp [uniformInducing_iff', h.uniformContinuous_iff h', (h'.comap _).le_basis_iff h, subset_def]
#align filter.has_basis.uniform_inducing_iff Filter.HasBasis.uniformInducing_iff
theorem UniformInducing.mk' {f : α → β}
(h : ∀ s, s ∈ 𝓤 α ↔ ∃ t ∈ 𝓤 β, ∀ x y : α, (f x, f y) ∈ t → (x, y) ∈ s) : UniformInducing f :=
⟨by simp [eq_comm, Filter.ext_iff, subset_def, h]⟩
#align uniform_inducing.mk' UniformInducing.mk'
theorem uniformInducing_id : UniformInducing (@id α) :=
⟨by rw [← Prod.map_def, Prod.map_id, comap_id]⟩
#align uniform_inducing_id uniformInducing_id
theorem UniformInducing.comp {g : β → γ} (hg : UniformInducing g) {f : α → β}
(hf : UniformInducing f) : UniformInducing (g ∘ f) :=
⟨by rw [← hf.1, ← hg.1, comap_comap]; rfl⟩
#align uniform_inducing.comp UniformInducing.comp
theorem UniformInducing.of_comp_iff {g : β → γ} (hg : UniformInducing g) {f : α → β} :
UniformInducing (g ∘ f) ↔ UniformInducing f := by
refine ⟨fun h ↦ ?_, hg.comp⟩
rw [uniformInducing_iff, ← hg.comap_uniformity, comap_comap, ← h.comap_uniformity,
Function.comp, Function.comp]
theorem UniformInducing.basis_uniformity {f : α → β} (hf : UniformInducing f) {ι : Sort*}
{p : ι → Prop} {s : ι → Set (β × β)} (H : (𝓤 β).HasBasis p s) :
(𝓤 α).HasBasis p fun i => Prod.map f f ⁻¹' s i :=
hf.1 ▸ H.comap _
#align uniform_inducing.basis_uniformity UniformInducing.basis_uniformity
| Mathlib/Topology/UniformSpace/UniformEmbedding.lean | 88 | 90 | theorem UniformInducing.cauchy_map_iff {f : α → β} (hf : UniformInducing f) {F : Filter α} :
Cauchy (map f F) ↔ Cauchy F := by |
simp only [Cauchy, map_neBot_iff, prod_map_map_eq, map_le_iff_le_comap, ← hf.comap_uniformity]
|
import Mathlib.Control.Traversable.Equiv
import Mathlib.Control.Traversable.Instances
import Batteries.Data.LazyList
import Mathlib.Lean.Thunk
#align_import data.lazy_list.basic from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58"
universe u
namespace LazyList
open Function
def listEquivLazyList (α : Type*) : List α ≃ LazyList α where
toFun := LazyList.ofList
invFun := LazyList.toList
right_inv := by
intro xs
induction xs using toList.induct
· simp [toList, ofList]
· simp [toList, ofList, *]; rfl
left_inv := by
intro xs
induction xs
· simp [toList, ofList]
· simpa [ofList, toList]
#align lazy_list.list_equiv_lazy_list LazyList.listEquivLazyList
-- Porting note: Added a name to make the recursion work.
instance decidableEq {α : Type u} [DecidableEq α] : DecidableEq (LazyList α)
| nil, nil => isTrue rfl
| cons x xs, cons y ys =>
if h : x = y then
match decidableEq xs.get ys.get with
| isFalse h2 => by
apply isFalse; simp only [cons.injEq, not_and]; intro _ xs_ys; apply h2; rw [xs_ys]
| isTrue h2 => by apply isTrue; congr; ext; exact h2
else by apply isFalse; simp only [cons.injEq, not_and]; intro; contradiction
| nil, cons _ _ => by apply isFalse; simp
| cons _ _, nil => by apply isFalse; simp
protected def traverse {m : Type u → Type u} [Applicative m] {α β : Type u} (f : α → m β) :
LazyList α → m (LazyList β)
| LazyList.nil => pure LazyList.nil
| LazyList.cons x xs => LazyList.cons <$> f x <*> Thunk.pure <$> xs.get.traverse f
#align lazy_list.traverse LazyList.traverse
instance : Traversable LazyList where
map := @LazyList.traverse Id _
traverse := @LazyList.traverse
instance : LawfulTraversable LazyList := by
apply Equiv.isLawfulTraversable' listEquivLazyList <;> intros <;> ext <;> rename_i f xs
· induction' xs using LazyList.rec with _ _ _ _ ih
· simp only [Functor.map, LazyList.traverse, pure, Equiv.map, listEquivLazyList,
Equiv.coe_fn_symm_mk, toList, Equiv.coe_fn_mk, ofList]
· simpa only [Equiv.map, Functor.map, listEquivLazyList, Equiv.coe_fn_symm_mk, Equiv.coe_fn_mk,
LazyList.traverse, Seq.seq, toList, ofList, cons.injEq, true_and]
· ext; apply ih
· simp only [Equiv.map, listEquivLazyList, Equiv.coe_fn_symm_mk, Equiv.coe_fn_mk, comp,
Functor.mapConst]
induction' xs using LazyList.rec with _ _ _ _ ih
· simp only [LazyList.traverse, pure, Functor.map, toList, ofList]
· simpa only [toList, ofList, LazyList.traverse, Seq.seq, Functor.map, cons.injEq, true_and]
· congr; apply ih
· simp only [traverse, Equiv.traverse, listEquivLazyList, Equiv.coe_fn_mk, Equiv.coe_fn_symm_mk]
induction' xs using LazyList.rec with _ tl ih _ ih
· simp only [LazyList.traverse, toList, List.traverse, map_pure, ofList]
· replace ih : tl.get.traverse f = ofList <$> tl.get.toList.traverse f := ih
simp [traverse.eq_2, ih, Functor.map_map, seq_map_assoc, toList, List.traverse, map_seq,
Function.comp, Thunk.pure, ofList]
· apply ih
def init {α} : LazyList α → LazyList α
| LazyList.nil => LazyList.nil
| LazyList.cons x xs =>
let xs' := xs.get
match xs' with
| LazyList.nil => LazyList.nil
| LazyList.cons _ _ => LazyList.cons x (init xs')
#align lazy_list.init LazyList.init
def find {α} (p : α → Prop) [DecidablePred p] : LazyList α → Option α
| nil => none
| cons h t => if p h then some h else t.get.find p
#align lazy_list.find LazyList.find
def interleave {α} : LazyList α → LazyList α → LazyList α
| LazyList.nil, xs => xs
| a@(LazyList.cons _ _), LazyList.nil => a
| LazyList.cons x xs, LazyList.cons y ys =>
LazyList.cons x (LazyList.cons y (interleave xs.get ys.get))
#align lazy_list.interleave LazyList.interleave
def interleaveAll {α} : List (LazyList α) → LazyList α
| [] => LazyList.nil
| x :: xs => interleave x (interleaveAll xs)
#align lazy_list.interleave_all LazyList.interleaveAll
protected def bind {α β} : LazyList α → (α → LazyList β) → LazyList β
| LazyList.nil, _ => LazyList.nil
| LazyList.cons x xs, f => (f x).append (xs.get.bind f)
#align lazy_list.bind LazyList.bind
def reverse {α} (xs : LazyList α) : LazyList α :=
ofList xs.toList.reverse
#align lazy_list.reverse LazyList.reverse
instance : Monad LazyList where
pure := @LazyList.singleton
bind := @LazyList.bind
-- Porting note: Added `Thunk.pure` to definition.
| Mathlib/Data/LazyList/Basic.lean | 143 | 147 | theorem append_nil {α} (xs : LazyList α) : xs.append (Thunk.pure LazyList.nil) = xs := by |
induction' xs using LazyList.rec with _ _ _ _ ih
· simp only [Thunk.pure, append, Thunk.get]
· simpa only [append, cons.injEq, true_and]
· ext; apply ih
|
import Mathlib.Order.Interval.Multiset
#align_import data.nat.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
-- TODO
-- assert_not_exists Ring
open Finset Nat
variable (a b c : ℕ)
namespace Nat
instance instLocallyFiniteOrder : LocallyFiniteOrder ℕ where
finsetIcc a b := ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩
finsetIco a b := ⟨List.range' a (b - a), List.nodup_range' _ _⟩
finsetIoc a b := ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩
finsetIoo a b := ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩
finset_mem_Icc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ico a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ioc a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
finset_mem_Ioo a b x := by rw [Finset.mem_mk, Multiset.mem_coe, List.mem_range'_1]; omega
theorem Icc_eq_range' : Icc a b = ⟨List.range' a (b + 1 - a), List.nodup_range' _ _⟩ :=
rfl
#align nat.Icc_eq_range' Nat.Icc_eq_range'
theorem Ico_eq_range' : Ico a b = ⟨List.range' a (b - a), List.nodup_range' _ _⟩ :=
rfl
#align nat.Ico_eq_range' Nat.Ico_eq_range'
theorem Ioc_eq_range' : Ioc a b = ⟨List.range' (a + 1) (b - a), List.nodup_range' _ _⟩ :=
rfl
#align nat.Ioc_eq_range' Nat.Ioc_eq_range'
theorem Ioo_eq_range' : Ioo a b = ⟨List.range' (a + 1) (b - a - 1), List.nodup_range' _ _⟩ :=
rfl
#align nat.Ioo_eq_range' Nat.Ioo_eq_range'
theorem uIcc_eq_range' :
uIcc a b = ⟨List.range' (min a b) (max a b + 1 - min a b), List.nodup_range' _ _⟩ := rfl
#align nat.uIcc_eq_range' Nat.uIcc_eq_range'
theorem Iio_eq_range : Iio = range := by
ext b x
rw [mem_Iio, mem_range]
#align nat.Iio_eq_range Nat.Iio_eq_range
@[simp]
theorem Ico_zero_eq_range : Ico 0 = range := by rw [← Nat.bot_eq_zero, ← Iio_eq_Ico, Iio_eq_range]
#align nat.Ico_zero_eq_range Nat.Ico_zero_eq_range
lemma range_eq_Icc_zero_sub_one (n : ℕ) (hn : n ≠ 0): range n = Icc 0 (n - 1) := by
ext b
simp_all only [mem_Icc, zero_le, true_and, mem_range]
exact lt_iff_le_pred (zero_lt_of_ne_zero hn)
theorem _root_.Finset.range_eq_Ico : range = Ico 0 :=
Ico_zero_eq_range.symm
#align finset.range_eq_Ico Finset.range_eq_Ico
@[simp]
theorem card_Icc : (Icc a b).card = b + 1 - a :=
List.length_range' _ _ _
#align nat.card_Icc Nat.card_Icc
@[simp]
theorem card_Ico : (Ico a b).card = b - a :=
List.length_range' _ _ _
#align nat.card_Ico Nat.card_Ico
@[simp]
theorem card_Ioc : (Ioc a b).card = b - a :=
List.length_range' _ _ _
#align nat.card_Ioc Nat.card_Ioc
@[simp]
theorem card_Ioo : (Ioo a b).card = b - a - 1 :=
List.length_range' _ _ _
#align nat.card_Ioo Nat.card_Ioo
@[simp]
theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 :=
(card_Icc _ _).trans $ by rw [← Int.natCast_inj, sup_eq_max, inf_eq_min, Int.ofNat_sub] <;> omega
#align nat.card_uIcc Nat.card_uIcc
@[simp]
lemma card_Iic : (Iic b).card = b + 1 := by rw [Iic_eq_Icc, card_Icc, Nat.bot_eq_zero, Nat.sub_zero]
#align nat.card_Iic Nat.card_Iic
@[simp]
theorem card_Iio : (Iio b).card = b := by rw [Iio_eq_Ico, card_Ico, Nat.bot_eq_zero, Nat.sub_zero]
#align nat.card_Iio Nat.card_Iio
-- Porting note (#10618): simp can prove this
-- @[simp]
| Mathlib/Order/Interval/Finset/Nat.lean | 114 | 115 | theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by |
rw [Fintype.card_ofFinset, card_Icc]
|
import Mathlib.CategoryTheory.Bicategory.Functor.Oplax
#align_import category_theory.bicategory.natural_transformation from "leanprover-community/mathlib"@"4ff75f5b8502275a4c2eb2d2f02bdf84d7fb8993"
namespace CategoryTheory
open Category Bicategory
open scoped Bicategory
universe w₁ w₂ v₁ v₂ u₁ u₂
variable {B : Type u₁} [Bicategory.{w₁, v₁} B] {C : Type u₂} [Bicategory.{w₂, v₂} C]
structure OplaxNatTrans (F G : OplaxFunctor B C) where
app (a : B) : F.obj a ⟶ G.obj a
naturality {a b : B} (f : a ⟶ b) : F.map f ≫ app b ⟶ app a ≫ G.map f
naturality_naturality :
∀ {a b : B} {f g : a ⟶ b} (η : f ⟶ g),
F.map₂ η ▷ app b ≫ naturality g = naturality f ≫ app a ◁ G.map₂ η := by
aesop_cat
naturality_id :
∀ a : B,
naturality (𝟙 a) ≫ app a ◁ G.mapId a =
F.mapId a ▷ app a ≫ (λ_ (app a)).hom ≫ (ρ_ (app a)).inv := by
aesop_cat
naturality_comp :
∀ {a b c : B} (f : a ⟶ b) (g : b ⟶ c),
naturality (f ≫ g) ≫ app a ◁ G.mapComp f g =
F.mapComp f g ▷ app c ≫
(α_ _ _ _).hom ≫
F.map f ◁ naturality g ≫ (α_ _ _ _).inv ≫ naturality f ▷ G.map g ≫ (α_ _ _ _).hom := by
aesop_cat
#align category_theory.oplax_nat_trans CategoryTheory.OplaxNatTrans
#align category_theory.oplax_nat_trans.app CategoryTheory.OplaxNatTrans.app
#align category_theory.oplax_nat_trans.naturality CategoryTheory.OplaxNatTrans.naturality
#align category_theory.oplax_nat_trans.naturality_naturality' CategoryTheory.OplaxNatTrans.naturality_naturality
#align category_theory.oplax_nat_trans.naturality_naturality CategoryTheory.OplaxNatTrans.naturality_naturality
#align category_theory.oplax_nat_trans.naturality_id' CategoryTheory.OplaxNatTrans.naturality_id
#align category_theory.oplax_nat_trans.naturality_id CategoryTheory.OplaxNatTrans.naturality_id
#align category_theory.oplax_nat_trans.naturality_comp' CategoryTheory.OplaxNatTrans.naturality_comp
#align category_theory.oplax_nat_trans.naturality_comp CategoryTheory.OplaxNatTrans.naturality_comp
attribute [nolint docBlame] CategoryTheory.OplaxNatTrans.app
CategoryTheory.OplaxNatTrans.naturality
CategoryTheory.OplaxNatTrans.naturality_naturality
CategoryTheory.OplaxNatTrans.naturality_id
CategoryTheory.OplaxNatTrans.naturality_comp
attribute [reassoc (attr := simp)] OplaxNatTrans.naturality_naturality OplaxNatTrans.naturality_id
OplaxNatTrans.naturality_comp
namespace OplaxNatTrans
section
variable (F : OplaxFunctor B C)
@[simps]
def id : OplaxNatTrans F F where
app a := 𝟙 (F.obj a)
naturality {a b} f := (ρ_ (F.map f)).hom ≫ (λ_ (F.map f)).inv
#align category_theory.oplax_nat_trans.id CategoryTheory.OplaxNatTrans.id
instance : Inhabited (OplaxNatTrans F F) :=
⟨id F⟩
variable {F} {G H : OplaxFunctor B C} (η : OplaxNatTrans F G) (θ : OplaxNatTrans G H)
section
variable {a b c : B} {a' : C}
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_naturality (f : a' ⟶ G.obj a) {g h : a ⟶ b} (β : g ⟶ h) :
f ◁ G.map₂ β ▷ θ.app b ≫ f ◁ θ.naturality h =
f ◁ θ.naturality g ≫ f ◁ θ.app a ◁ H.map₂ β := by
simp_rw [← whiskerLeft_comp, naturality_naturality]
#align category_theory.oplax_nat_trans.whisker_left_naturality_naturality CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_naturality
@[reassoc (attr := simp)]
theorem whiskerRight_naturality_naturality {f g : a ⟶ b} (β : f ⟶ g) (h : G.obj b ⟶ a') :
F.map₂ β ▷ η.app b ▷ h ≫ η.naturality g ▷ h =
η.naturality f ▷ h ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.map₂ β ▷ h ≫ (α_ _ _ _).inv := by
rw [← comp_whiskerRight, naturality_naturality, comp_whiskerRight, whisker_assoc]
#align category_theory.oplax_nat_trans.whisker_right_naturality_naturality CategoryTheory.OplaxNatTrans.whiskerRight_naturality_naturality
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_comp (f : a' ⟶ G.obj a) (g : a ⟶ b) (h : b ⟶ c) :
f ◁ θ.naturality (g ≫ h) ≫ f ◁ θ.app a ◁ H.mapComp g h =
f ◁ G.mapComp g h ▷ θ.app c ≫
f ◁ (α_ _ _ _).hom ≫
f ◁ G.map g ◁ θ.naturality h ≫
f ◁ (α_ _ _ _).inv ≫ f ◁ θ.naturality g ▷ H.map h ≫ f ◁ (α_ _ _ _).hom := by
simp_rw [← whiskerLeft_comp, naturality_comp]
#align category_theory.oplax_nat_trans.whisker_left_naturality_comp CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_comp
@[reassoc (attr := simp)]
theorem whiskerRight_naturality_comp (f : a ⟶ b) (g : b ⟶ c) (h : G.obj c ⟶ a') :
η.naturality (f ≫ g) ▷ h ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.mapComp f g ▷ h =
F.mapComp f g ▷ η.app c ▷ h ≫
(α_ _ _ _).hom ▷ h ≫
(α_ _ _ _).hom ≫
F.map f ◁ η.naturality g ▷ h ≫
(α_ _ _ _).inv ≫
(α_ _ _ _).inv ▷ h ≫
η.naturality f ▷ G.map g ▷ h ≫ (α_ _ _ _).hom ▷ h ≫ (α_ _ _ _).hom := by
rw [← associator_naturality_middle, ← comp_whiskerRight_assoc, naturality_comp]; simp
#align category_theory.oplax_nat_trans.whisker_right_naturality_comp CategoryTheory.OplaxNatTrans.whiskerRight_naturality_comp
@[reassoc (attr := simp)]
theorem whiskerLeft_naturality_id (f : a' ⟶ G.obj a) :
f ◁ θ.naturality (𝟙 a) ≫ f ◁ θ.app a ◁ H.mapId a =
f ◁ G.mapId a ▷ θ.app a ≫ f ◁ (λ_ (θ.app a)).hom ≫ f ◁ (ρ_ (θ.app a)).inv := by
simp_rw [← whiskerLeft_comp, naturality_id]
#align category_theory.oplax_nat_trans.whisker_left_naturality_id CategoryTheory.OplaxNatTrans.whiskerLeft_naturality_id
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Bicategory/NaturalTransformation.lean | 148 | 151 | theorem whiskerRight_naturality_id (f : G.obj a ⟶ a') :
η.naturality (𝟙 a) ▷ f ≫ (α_ _ _ _).hom ≫ η.app a ◁ G.mapId a ▷ f =
F.mapId a ▷ η.app a ▷ f ≫ (λ_ (η.app a)).hom ▷ f ≫ (ρ_ (η.app a)).inv ▷ f ≫ (α_ _ _ _).hom := by |
rw [← associator_naturality_middle, ← comp_whiskerRight_assoc, naturality_id]; simp
|
import Mathlib.Order.PropInstances
#align_import order.heyting.basic from "leanprover-community/mathlib"@"9ac7c0c8c4d7a535ec3e5b34b8859aab9233b2f4"
open Function OrderDual
universe u
variable {ι α β : Type*}
section
variable (α β)
instance Prod.instHImp [HImp α] [HImp β] : HImp (α × β) :=
⟨fun a b => (a.1 ⇨ b.1, a.2 ⇨ b.2)⟩
instance Prod.instHNot [HNot α] [HNot β] : HNot (α × β) :=
⟨fun a => (￢a.1, ￢a.2)⟩
instance Prod.instSDiff [SDiff α] [SDiff β] : SDiff (α × β) :=
⟨fun a b => (a.1 \ b.1, a.2 \ b.2)⟩
instance Prod.instHasCompl [HasCompl α] [HasCompl β] : HasCompl (α × β) :=
⟨fun a => (a.1ᶜ, a.2ᶜ)⟩
end
@[simp]
theorem fst_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).1 = a.1 ⇨ b.1 :=
rfl
#align fst_himp fst_himp
@[simp]
theorem snd_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).2 = a.2 ⇨ b.2 :=
rfl
#align snd_himp snd_himp
@[simp]
theorem fst_hnot [HNot α] [HNot β] (a : α × β) : (￢a).1 = ￢a.1 :=
rfl
#align fst_hnot fst_hnot
@[simp]
theorem snd_hnot [HNot α] [HNot β] (a : α × β) : (￢a).2 = ￢a.2 :=
rfl
#align snd_hnot snd_hnot
@[simp]
theorem fst_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).1 = a.1 \ b.1 :=
rfl
#align fst_sdiff fst_sdiff
@[simp]
theorem snd_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).2 = a.2 \ b.2 :=
rfl
#align snd_sdiff snd_sdiff
@[simp]
theorem fst_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.1 = a.1ᶜ :=
rfl
#align fst_compl fst_compl
@[simp]
theorem snd_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.2 = a.2ᶜ :=
rfl
#align snd_compl snd_compl
class GeneralizedHeytingAlgebra (α : Type*) extends Lattice α, OrderTop α, HImp α where
le_himp_iff (a b c : α) : a ≤ b ⇨ c ↔ a ⊓ b ≤ c
#align generalized_heyting_algebra GeneralizedHeytingAlgebra
#align generalized_heyting_algebra.to_order_top GeneralizedHeytingAlgebra.toOrderTop
class GeneralizedCoheytingAlgebra (α : Type*) extends Lattice α, OrderBot α, SDiff α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
#align generalized_coheyting_algebra GeneralizedCoheytingAlgebra
#align generalized_coheyting_algebra.to_order_bot GeneralizedCoheytingAlgebra.toOrderBot
class HeytingAlgebra (α : Type*) extends GeneralizedHeytingAlgebra α, OrderBot α, HasCompl α where
himp_bot (a : α) : a ⇨ ⊥ = aᶜ
#align heyting_algebra HeytingAlgebra
class CoheytingAlgebra (α : Type*) extends GeneralizedCoheytingAlgebra α, OrderTop α, HNot α where
top_sdiff (a : α) : ⊤ \ a = ￢a
#align coheyting_algebra CoheytingAlgebra
class BiheytingAlgebra (α : Type*) extends HeytingAlgebra α, SDiff α, HNot α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
top_sdiff (a : α) : ⊤ \ a = ￢a
#align biheyting_algebra BiheytingAlgebra
-- See note [lower instance priority]
attribute [instance 100] GeneralizedHeytingAlgebra.toOrderTop
attribute [instance 100] GeneralizedCoheytingAlgebra.toOrderBot
-- See note [lower instance priority]
instance (priority := 100) HeytingAlgebra.toBoundedOrder [HeytingAlgebra α] : BoundedOrder α :=
{ bot_le := ‹HeytingAlgebra α›.bot_le }
--#align heyting_algebra.to_bounded_order HeytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) CoheytingAlgebra.toBoundedOrder [CoheytingAlgebra α] : BoundedOrder α :=
{ ‹CoheytingAlgebra α› with }
#align coheyting_algebra.to_bounded_order CoheytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) BiheytingAlgebra.toCoheytingAlgebra [BiheytingAlgebra α] :
CoheytingAlgebra α :=
{ ‹BiheytingAlgebra α› with }
#align biheyting_algebra.to_coheyting_algebra BiheytingAlgebra.toCoheytingAlgebra
-- See note [reducible non-instances]
abbrev HeytingAlgebra.ofHImp [DistribLattice α] [BoundedOrder α] (himp : α → α → α)
(le_himp_iff : ∀ a b c, a ≤ himp b c ↔ a ⊓ b ≤ c) : HeytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
himp,
compl := fun a => himp a ⊥,
le_himp_iff,
himp_bot := fun a => rfl }
#align heyting_algebra.of_himp HeytingAlgebra.ofHImp
-- See note [reducible non-instances]
abbrev HeytingAlgebra.ofCompl [DistribLattice α] [BoundedOrder α] (compl : α → α)
(le_himp_iff : ∀ a b c, a ≤ compl b ⊔ c ↔ a ⊓ b ≤ c) : HeytingAlgebra α where
himp := (compl · ⊔ ·)
compl := compl
le_himp_iff := le_himp_iff
himp_bot _ := sup_bot_eq _
#align heyting_algebra.of_compl HeytingAlgebra.ofCompl
-- See note [reducible non-instances]
abbrev CoheytingAlgebra.ofSDiff [DistribLattice α] [BoundedOrder α] (sdiff : α → α → α)
(sdiff_le_iff : ∀ a b c, sdiff a b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
sdiff,
hnot := fun a => sdiff ⊤ a,
sdiff_le_iff,
top_sdiff := fun a => rfl }
#align coheyting_algebra.of_sdiff CoheytingAlgebra.ofSDiff
-- See note [reducible non-instances]
abbrev CoheytingAlgebra.ofHNot [DistribLattice α] [BoundedOrder α] (hnot : α → α)
(sdiff_le_iff : ∀ a b c, a ⊓ hnot b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α where
sdiff a b := a ⊓ hnot b
hnot := hnot
sdiff_le_iff := sdiff_le_iff
top_sdiff _ := top_inf_eq _
#align coheyting_algebra.of_hnot CoheytingAlgebra.ofHNot
section GeneralizedHeytingAlgebra
variable [GeneralizedHeytingAlgebra α] {a b c d : α}
@[simp]
theorem le_himp_iff : a ≤ b ⇨ c ↔ a ⊓ b ≤ c :=
GeneralizedHeytingAlgebra.le_himp_iff _ _ _
#align le_himp_iff le_himp_iff
theorem le_himp_iff' : a ≤ b ⇨ c ↔ b ⊓ a ≤ c := by rw [le_himp_iff, inf_comm]
#align le_himp_iff' le_himp_iff'
theorem le_himp_comm : a ≤ b ⇨ c ↔ b ≤ a ⇨ c := by rw [le_himp_iff, le_himp_iff']
#align le_himp_comm le_himp_comm
theorem le_himp : a ≤ b ⇨ a :=
le_himp_iff.2 inf_le_left
#align le_himp le_himp
theorem le_himp_iff_left : a ≤ a ⇨ b ↔ a ≤ b := by rw [le_himp_iff, inf_idem]
#align le_himp_iff_left le_himp_iff_left
@[simp]
theorem himp_self : a ⇨ a = ⊤ :=
top_le_iff.1 <| le_himp_iff.2 inf_le_right
#align himp_self himp_self
theorem himp_inf_le : (a ⇨ b) ⊓ a ≤ b :=
le_himp_iff.1 le_rfl
#align himp_inf_le himp_inf_le
theorem inf_himp_le : a ⊓ (a ⇨ b) ≤ b := by rw [inf_comm, ← le_himp_iff]
#align inf_himp_le inf_himp_le
@[simp]
theorem inf_himp (a b : α) : a ⊓ (a ⇨ b) = a ⊓ b :=
le_antisymm (le_inf inf_le_left <| by rw [inf_comm, ← le_himp_iff]) <| inf_le_inf_left _ le_himp
#align inf_himp inf_himp
@[simp]
theorem himp_inf_self (a b : α) : (a ⇨ b) ⊓ a = b ⊓ a := by rw [inf_comm, inf_himp, inf_comm]
#align himp_inf_self himp_inf_self
@[simp]
theorem himp_eq_top_iff : a ⇨ b = ⊤ ↔ a ≤ b := by rw [← top_le_iff, le_himp_iff, top_inf_eq]
#align himp_eq_top_iff himp_eq_top_iff
@[simp]
theorem himp_top : a ⇨ ⊤ = ⊤ :=
himp_eq_top_iff.2 le_top
#align himp_top himp_top
@[simp]
theorem top_himp : ⊤ ⇨ a = a :=
eq_of_forall_le_iff fun b => by rw [le_himp_iff, inf_top_eq]
#align top_himp top_himp
theorem himp_himp (a b c : α) : a ⇨ b ⇨ c = a ⊓ b ⇨ c :=
eq_of_forall_le_iff fun d => by simp_rw [le_himp_iff, inf_assoc]
#align himp_himp himp_himp
theorem himp_le_himp_himp_himp : b ⇨ c ≤ (a ⇨ b) ⇨ a ⇨ c := by
rw [le_himp_iff, le_himp_iff, inf_assoc, himp_inf_self, ← inf_assoc, himp_inf_self, inf_assoc]
exact inf_le_left
#align himp_le_himp_himp_himp himp_le_himp_himp_himp
@[simp]
theorem himp_inf_himp_inf_le : (b ⇨ c) ⊓ (a ⇨ b) ⊓ a ≤ c := by
simpa using @himp_le_himp_himp_himp
theorem himp_left_comm (a b c : α) : a ⇨ b ⇨ c = b ⇨ a ⇨ c := by simp_rw [himp_himp, inf_comm]
#align himp_left_comm himp_left_comm
@[simp]
theorem himp_idem : b ⇨ b ⇨ a = b ⇨ a := by rw [himp_himp, inf_idem]
#align himp_idem himp_idem
theorem himp_inf_distrib (a b c : α) : a ⇨ b ⊓ c = (a ⇨ b) ⊓ (a ⇨ c) :=
eq_of_forall_le_iff fun d => by simp_rw [le_himp_iff, le_inf_iff, le_himp_iff]
#align himp_inf_distrib himp_inf_distrib
theorem sup_himp_distrib (a b c : α) : a ⊔ b ⇨ c = (a ⇨ c) ⊓ (b ⇨ c) :=
eq_of_forall_le_iff fun d => by
rw [le_inf_iff, le_himp_comm, sup_le_iff]
simp_rw [le_himp_comm]
#align sup_himp_distrib sup_himp_distrib
theorem himp_le_himp_left (h : a ≤ b) : c ⇨ a ≤ c ⇨ b :=
le_himp_iff.2 <| himp_inf_le.trans h
#align himp_le_himp_left himp_le_himp_left
theorem himp_le_himp_right (h : a ≤ b) : b ⇨ c ≤ a ⇨ c :=
le_himp_iff.2 <| (inf_le_inf_left _ h).trans himp_inf_le
#align himp_le_himp_right himp_le_himp_right
theorem himp_le_himp (hab : a ≤ b) (hcd : c ≤ d) : b ⇨ c ≤ a ⇨ d :=
(himp_le_himp_right hab).trans <| himp_le_himp_left hcd
#align himp_le_himp himp_le_himp
@[simp]
theorem sup_himp_self_left (a b : α) : a ⊔ b ⇨ a = b ⇨ a := by
rw [sup_himp_distrib, himp_self, top_inf_eq]
#align sup_himp_self_left sup_himp_self_left
@[simp]
theorem sup_himp_self_right (a b : α) : a ⊔ b ⇨ b = a ⇨ b := by
rw [sup_himp_distrib, himp_self, inf_top_eq]
#align sup_himp_self_right sup_himp_self_right
theorem Codisjoint.himp_eq_right (h : Codisjoint a b) : b ⇨ a = a := by
conv_rhs => rw [← @top_himp _ _ a]
rw [← h.eq_top, sup_himp_self_left]
#align codisjoint.himp_eq_right Codisjoint.himp_eq_right
theorem Codisjoint.himp_eq_left (h : Codisjoint a b) : a ⇨ b = b :=
h.symm.himp_eq_right
#align codisjoint.himp_eq_left Codisjoint.himp_eq_left
| Mathlib/Order/Heyting/Basic.lean | 384 | 385 | theorem Codisjoint.himp_inf_cancel_right (h : Codisjoint a b) : a ⇨ a ⊓ b = b := by |
rw [himp_inf_distrib, himp_self, top_inf_eq, h.himp_eq_left]
|
import Mathlib.MeasureTheory.Measure.Trim
import Mathlib.MeasureTheory.MeasurableSpace.CountablyGenerated
#align_import measure_theory.measure.ae_measurable from "leanprover-community/mathlib"@"3310acfa9787aa171db6d4cba3945f6f275fe9f2"
open scoped Classical
open MeasureTheory MeasureTheory.Measure Filter Set Function ENNReal
variable {ι α β γ δ R : Type*} {m0 : MeasurableSpace α} [MeasurableSpace β] [MeasurableSpace γ]
[MeasurableSpace δ] {f g : α → β} {μ ν : Measure α}
section
@[nontriviality, measurability]
theorem Subsingleton.aemeasurable [Subsingleton α] : AEMeasurable f μ :=
Subsingleton.measurable.aemeasurable
#align subsingleton.ae_measurable Subsingleton.aemeasurable
@[nontriviality, measurability]
theorem aemeasurable_of_subsingleton_codomain [Subsingleton β] : AEMeasurable f μ :=
(measurable_of_subsingleton_codomain f).aemeasurable
#align ae_measurable_of_subsingleton_codomain aemeasurable_of_subsingleton_codomain
@[simp, measurability]
theorem aemeasurable_zero_measure : AEMeasurable f (0 : Measure α) := by
nontriviality α; inhabit α
exact ⟨fun _ => f default, measurable_const, rfl⟩
#align ae_measurable_zero_measure aemeasurable_zero_measure
theorem aemeasurable_id'' (μ : Measure α) {m : MeasurableSpace α} (hm : m ≤ m0) :
@AEMeasurable α α m m0 id μ :=
@Measurable.aemeasurable α α m0 m id μ (measurable_id'' hm)
#align probability_theory.ae_measurable_id'' aemeasurable_id''
lemma aemeasurable_of_map_neZero {mβ : MeasurableSpace β} {μ : Measure α}
{f : α → β} (h : NeZero (μ.map f)) :
AEMeasurable f μ := by
by_contra h'
simp [h'] at h
namespace AEMeasurable
lemma mono_ac (hf : AEMeasurable f ν) (hμν : μ ≪ ν) : AEMeasurable f μ :=
⟨hf.mk f, hf.measurable_mk, hμν.ae_le hf.ae_eq_mk⟩
theorem mono_measure (h : AEMeasurable f μ) (h' : ν ≤ μ) : AEMeasurable f ν :=
mono_ac h h'.absolutelyContinuous
#align ae_measurable.mono_measure AEMeasurable.mono_measure
theorem mono_set {s t} (h : s ⊆ t) (ht : AEMeasurable f (μ.restrict t)) :
AEMeasurable f (μ.restrict s) :=
ht.mono_measure (restrict_mono h le_rfl)
#align ae_measurable.mono_set AEMeasurable.mono_set
protected theorem mono' (h : AEMeasurable f μ) (h' : ν ≪ μ) : AEMeasurable f ν :=
⟨h.mk f, h.measurable_mk, h' h.ae_eq_mk⟩
#align ae_measurable.mono' AEMeasurable.mono'
theorem ae_mem_imp_eq_mk {s} (h : AEMeasurable f (μ.restrict s)) :
∀ᵐ x ∂μ, x ∈ s → f x = h.mk f x :=
ae_imp_of_ae_restrict h.ae_eq_mk
#align ae_measurable.ae_mem_imp_eq_mk AEMeasurable.ae_mem_imp_eq_mk
theorem ae_inf_principal_eq_mk {s} (h : AEMeasurable f (μ.restrict s)) : f =ᶠ[ae μ ⊓ 𝓟 s] h.mk f :=
le_ae_restrict h.ae_eq_mk
#align ae_measurable.ae_inf_principal_eq_mk AEMeasurable.ae_inf_principal_eq_mk
@[measurability]
theorem sum_measure [Countable ι] {μ : ι → Measure α} (h : ∀ i, AEMeasurable f (μ i)) :
AEMeasurable f (sum μ) := by
nontriviality β
inhabit β
set s : ι → Set α := fun i => toMeasurable (μ i) { x | f x ≠ (h i).mk f x }
have hsμ : ∀ i, μ i (s i) = 0 := by
intro i
rw [measure_toMeasurable]
exact (h i).ae_eq_mk
have hsm : MeasurableSet (⋂ i, s i) :=
MeasurableSet.iInter fun i => measurableSet_toMeasurable _ _
have hs : ∀ i x, x ∉ s i → f x = (h i).mk f x := by
intro i x hx
contrapose! hx
exact subset_toMeasurable _ _ hx
set g : α → β := (⋂ i, s i).piecewise (const α default) f
refine ⟨g, measurable_of_restrict_of_restrict_compl hsm ?_ ?_, ae_sum_iff.mpr fun i => ?_⟩
· rw [restrict_piecewise]
simp only [s, Set.restrict, const]
exact measurable_const
· rw [restrict_piecewise_compl, compl_iInter]
intro t ht
refine ⟨⋃ i, (h i).mk f ⁻¹' t ∩ (s i)ᶜ, MeasurableSet.iUnion fun i ↦
(measurable_mk _ ht).inter (measurableSet_toMeasurable _ _).compl, ?_⟩
ext ⟨x, hx⟩
simp only [mem_preimage, mem_iUnion, Subtype.coe_mk, Set.restrict, mem_inter_iff,
mem_compl_iff] at hx ⊢
constructor
· rintro ⟨i, hxt, hxs⟩
rwa [hs _ _ hxs]
· rcases hx with ⟨i, hi⟩
rw [hs _ _ hi]
exact fun h => ⟨i, h, hi⟩
· refine measure_mono_null (fun x (hx : f x ≠ g x) => ?_) (hsμ i)
contrapose! hx
refine (piecewise_eq_of_not_mem _ _ _ ?_).symm
exact fun h => hx (mem_iInter.1 h i)
#align ae_measurable.sum_measure AEMeasurable.sum_measure
@[simp]
theorem _root_.aemeasurable_sum_measure_iff [Countable ι] {μ : ι → Measure α} :
AEMeasurable f (sum μ) ↔ ∀ i, AEMeasurable f (μ i) :=
⟨fun h _ => h.mono_measure (le_sum _ _), sum_measure⟩
#align ae_measurable_sum_measure_iff aemeasurable_sum_measure_iff
@[simp]
theorem _root_.aemeasurable_add_measure_iff :
AEMeasurable f (μ + ν) ↔ AEMeasurable f μ ∧ AEMeasurable f ν := by
rw [← sum_cond, aemeasurable_sum_measure_iff, Bool.forall_bool, and_comm]
rfl
#align ae_measurable_add_measure_iff aemeasurable_add_measure_iff
@[measurability]
theorem add_measure {f : α → β} (hμ : AEMeasurable f μ) (hν : AEMeasurable f ν) :
AEMeasurable f (μ + ν) :=
aemeasurable_add_measure_iff.2 ⟨hμ, hν⟩
#align ae_measurable.add_measure AEMeasurable.add_measure
@[measurability]
protected theorem iUnion [Countable ι] {s : ι → Set α}
(h : ∀ i, AEMeasurable f (μ.restrict (s i))) : AEMeasurable f (μ.restrict (⋃ i, s i)) :=
(sum_measure h).mono_measure <| restrict_iUnion_le
#align ae_measurable.Union AEMeasurable.iUnion
@[simp]
theorem _root_.aemeasurable_iUnion_iff [Countable ι] {s : ι → Set α} :
AEMeasurable f (μ.restrict (⋃ i, s i)) ↔ ∀ i, AEMeasurable f (μ.restrict (s i)) :=
⟨fun h _ => h.mono_measure <| restrict_mono (subset_iUnion _ _) le_rfl, AEMeasurable.iUnion⟩
#align ae_measurable_Union_iff aemeasurable_iUnion_iff
@[simp]
theorem _root_.aemeasurable_union_iff {s t : Set α} :
AEMeasurable f (μ.restrict (s ∪ t)) ↔
AEMeasurable f (μ.restrict s) ∧ AEMeasurable f (μ.restrict t) := by
simp only [union_eq_iUnion, aemeasurable_iUnion_iff, Bool.forall_bool, cond, and_comm]
#align ae_measurable_union_iff aemeasurable_union_iff
@[measurability]
theorem smul_measure [Monoid R] [DistribMulAction R ℝ≥0∞] [IsScalarTower R ℝ≥0∞ ℝ≥0∞]
(h : AEMeasurable f μ) (c : R) : AEMeasurable f (c • μ) :=
⟨h.mk f, h.measurable_mk, ae_smul_measure h.ae_eq_mk c⟩
#align ae_measurable.smul_measure AEMeasurable.smul_measure
theorem comp_aemeasurable {f : α → δ} {g : δ → β} (hg : AEMeasurable g (μ.map f))
(hf : AEMeasurable f μ) : AEMeasurable (g ∘ f) μ :=
⟨hg.mk g ∘ hf.mk f, hg.measurable_mk.comp hf.measurable_mk,
(ae_eq_comp hf hg.ae_eq_mk).trans (hf.ae_eq_mk.fun_comp (mk g hg))⟩
#align ae_measurable.comp_ae_measurable AEMeasurable.comp_aemeasurable
theorem comp_measurable {f : α → δ} {g : δ → β} (hg : AEMeasurable g (μ.map f))
(hf : Measurable f) : AEMeasurable (g ∘ f) μ :=
hg.comp_aemeasurable hf.aemeasurable
#align ae_measurable.comp_measurable AEMeasurable.comp_measurable
theorem comp_quasiMeasurePreserving {ν : Measure δ} {f : α → δ} {g : δ → β} (hg : AEMeasurable g ν)
(hf : QuasiMeasurePreserving f μ ν) : AEMeasurable (g ∘ f) μ :=
(hg.mono' hf.absolutelyContinuous).comp_measurable hf.measurable
#align ae_measurable.comp_quasi_measure_preserving AEMeasurable.comp_quasiMeasurePreserving
theorem map_map_of_aemeasurable {g : β → γ} {f : α → β} (hg : AEMeasurable g (Measure.map f μ))
(hf : AEMeasurable f μ) : (μ.map f).map g = μ.map (g ∘ f) := by
ext1 s hs
rw [map_apply_of_aemeasurable hg hs, map_apply₀ hf (hg.nullMeasurable hs),
map_apply_of_aemeasurable (hg.comp_aemeasurable hf) hs, preimage_comp]
#align ae_measurable.map_map_of_ae_measurable AEMeasurable.map_map_of_aemeasurable
@[measurability]
theorem prod_mk {f : α → β} {g : α → γ} (hf : AEMeasurable f μ) (hg : AEMeasurable g μ) :
AEMeasurable (fun x => (f x, g x)) μ :=
⟨fun a => (hf.mk f a, hg.mk g a), hf.measurable_mk.prod_mk hg.measurable_mk,
EventuallyEq.prod_mk hf.ae_eq_mk hg.ae_eq_mk⟩
#align ae_measurable.prod_mk AEMeasurable.prod_mk
| Mathlib/MeasureTheory/Measure/AEMeasurable.lean | 195 | 217 | theorem exists_ae_eq_range_subset (H : AEMeasurable f μ) {t : Set β} (ht : ∀ᵐ x ∂μ, f x ∈ t)
(h₀ : t.Nonempty) : ∃ g, Measurable g ∧ range g ⊆ t ∧ f =ᵐ[μ] g := by |
let s : Set α := toMeasurable μ { x | f x = H.mk f x ∧ f x ∈ t }ᶜ
let g : α → β := piecewise s (fun _ => h₀.some) (H.mk f)
refine ⟨g, ?_, ?_, ?_⟩
· exact Measurable.piecewise (measurableSet_toMeasurable _ _) measurable_const H.measurable_mk
· rintro _ ⟨x, rfl⟩
by_cases hx : x ∈ s
· simpa [g, hx] using h₀.some_mem
· simp only [g, hx, piecewise_eq_of_not_mem, not_false_iff]
contrapose! hx
apply subset_toMeasurable
simp (config := { contextual := true }) only [hx, mem_compl_iff, mem_setOf_eq, not_and,
not_false_iff, imp_true_iff]
· have A : μ (toMeasurable μ { x | f x = H.mk f x ∧ f x ∈ t }ᶜ) = 0 := by
rw [measure_toMeasurable, ← compl_mem_ae_iff, compl_compl]
exact H.ae_eq_mk.and ht
filter_upwards [compl_mem_ae_iff.2 A] with x hx
rw [mem_compl_iff] at hx
simp only [g, hx, piecewise_eq_of_not_mem, not_false_iff]
contrapose! hx
apply subset_toMeasurable
simp only [hx, mem_compl_iff, mem_setOf_eq, false_and_iff, not_false_iff]
|
import Mathlib.Logic.Relation
import Mathlib.Data.List.Forall2
import Mathlib.Data.List.Lex
import Mathlib.Data.List.Infix
#align_import data.list.chain from "leanprover-community/mathlib"@"dd71334db81d0bd444af1ee339a29298bef40734"
-- Make sure we haven't imported `Data.Nat.Order.Basic`
assert_not_exists OrderedSub
universe u v
open Nat
namespace List
variable {α : Type u} {β : Type v} {R r : α → α → Prop} {l l₁ l₂ : List α} {a b : α}
mk_iff_of_inductive_prop List.Chain List.chain_iff
#align list.chain_iff List.chain_iff
#align list.chain.nil List.Chain.nil
#align list.chain.cons List.Chain.cons
#align list.rel_of_chain_cons List.rel_of_chain_cons
#align list.chain_of_chain_cons List.chain_of_chain_cons
#align list.chain.imp' List.Chain.imp'
#align list.chain.imp List.Chain.imp
theorem Chain.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {a : α} {l : List α} :
Chain R a l ↔ Chain S a l :=
⟨Chain.imp fun a b => (H a b).1, Chain.imp fun a b => (H a b).2⟩
#align list.chain.iff List.Chain.iff
theorem Chain.iff_mem {a : α} {l : List α} :
Chain R a l ↔ Chain (fun x y => x ∈ a :: l ∧ y ∈ l ∧ R x y) a l :=
⟨fun p => by
induction' p with _ a b l r _ IH <;> constructor <;>
[exact ⟨mem_cons_self _ _, mem_cons_self _ _, r⟩;
exact IH.imp fun a b ⟨am, bm, h⟩ => ⟨mem_cons_of_mem _ am, mem_cons_of_mem _ bm, h⟩],
Chain.imp fun a b h => h.2.2⟩
#align list.chain.iff_mem List.Chain.iff_mem
theorem chain_singleton {a b : α} : Chain R a [b] ↔ R a b := by
simp only [chain_cons, Chain.nil, and_true_iff]
#align list.chain_singleton List.chain_singleton
theorem chain_split {a b : α} {l₁ l₂ : List α} :
Chain R a (l₁ ++ b :: l₂) ↔ Chain R a (l₁ ++ [b]) ∧ Chain R b l₂ := by
induction' l₁ with x l₁ IH generalizing a <;>
simp only [*, nil_append, cons_append, Chain.nil, chain_cons, and_true_iff, and_assoc]
#align list.chain_split List.chain_split
@[simp]
theorem chain_append_cons_cons {a b c : α} {l₁ l₂ : List α} :
Chain R a (l₁ ++ b :: c :: l₂) ↔ Chain R a (l₁ ++ [b]) ∧ R b c ∧ Chain R c l₂ := by
rw [chain_split, chain_cons]
#align list.chain_append_cons_cons List.chain_append_cons_cons
theorem chain_iff_forall₂ :
∀ {a : α} {l : List α}, Chain R a l ↔ l = [] ∨ Forall₂ R (a :: dropLast l) l
| a, [] => by simp
| a, b :: l => by
by_cases h : l = [] <;>
simp [@chain_iff_forall₂ b l, dropLast, *]
#align list.chain_iff_forall₂ List.chain_iff_forall₂
theorem chain_append_singleton_iff_forall₂ :
Chain R a (l ++ [b]) ↔ Forall₂ R (a :: l) (l ++ [b]) := by simp [chain_iff_forall₂]
#align list.chain_append_singleton_iff_forall₂ List.chain_append_singleton_iff_forall₂
theorem chain_map (f : β → α) {b : β} {l : List β} :
Chain R (f b) (map f l) ↔ Chain (fun a b : β => R (f a) (f b)) b l := by
induction l generalizing b <;> simp only [map, Chain.nil, chain_cons, *]
#align list.chain_map List.chain_map
theorem chain_of_chain_map {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, S (f a) (f b) → R a b)
{a : α} {l : List α} (p : Chain S (f a) (map f l)) : Chain R a l :=
((chain_map f).1 p).imp H
#align list.chain_of_chain_map List.chain_of_chain_map
theorem chain_map_of_chain {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, R a b → S (f a) (f b))
{a : α} {l : List α} (p : Chain R a l) : Chain S (f a) (map f l) :=
(chain_map f).2 <| p.imp H
#align list.chain_map_of_chain List.chain_map_of_chain
theorem chain_pmap_of_chain {S : β → β → Prop} {p : α → Prop} {f : ∀ a, p a → β}
(H : ∀ a b ha hb, R a b → S (f a ha) (f b hb)) {a : α} {l : List α} (hl₁ : Chain R a l)
(ha : p a) (hl₂ : ∀ a ∈ l, p a) : Chain S (f a ha) (List.pmap f l hl₂) := by
induction' l with lh lt l_ih generalizing a
· simp
· simp [H _ _ _ _ (rel_of_chain_cons hl₁), l_ih (chain_of_chain_cons hl₁)]
#align list.chain_pmap_of_chain List.chain_pmap_of_chain
| Mathlib/Data/List/Chain.lean | 109 | 114 | theorem chain_of_chain_pmap {S : β → β → Prop} {p : α → Prop} (f : ∀ a, p a → β) {l : List α}
(hl₁ : ∀ a ∈ l, p a) {a : α} (ha : p a) (hl₂ : Chain S (f a ha) (List.pmap f l hl₁))
(H : ∀ a b ha hb, S (f a ha) (f b hb) → R a b) : Chain R a l := by |
induction' l with lh lt l_ih generalizing a
· simp
· simp [H _ _ _ _ (rel_of_chain_cons hl₂), l_ih _ _ (chain_of_chain_cons hl₂)]
|
import Mathlib.Init.Logic
import Mathlib.Tactic.AdaptationNote
import Mathlib.Tactic.Coe
set_option autoImplicit true
-- We align Lean 3 lemmas with lemmas in `Init.SimpLemmas` in Lean 4.
#align band_self Bool.and_self
#align band_tt Bool.and_true
#align band_ff Bool.and_false
#align tt_band Bool.true_and
#align ff_band Bool.false_and
#align bor_self Bool.or_self
#align bor_tt Bool.or_true
#align bor_ff Bool.or_false
#align tt_bor Bool.true_or
#align ff_bor Bool.false_or
#align bnot_bnot Bool.not_not
namespace Bool
#align bool.cond_tt Bool.cond_true
#align bool.cond_ff Bool.cond_false
#align cond_a_a Bool.cond_self
attribute [simp] xor_self
#align bxor_self Bool.xor_self
#align bxor_tt Bool.xor_true
#align bxor_ff Bool.xor_false
#align tt_bxor Bool.true_xor
#align ff_bxor Bool.false_xor
theorem true_eq_false_eq_False : ¬true = false := by decide
#align tt_eq_ff_eq_false Bool.true_eq_false_eq_False
theorem false_eq_true_eq_False : ¬false = true := by decide
#align ff_eq_tt_eq_false Bool.false_eq_true_eq_False
theorem eq_false_eq_not_eq_true (b : Bool) : (¬b = true) = (b = false) := by simp
#align eq_ff_eq_not_eq_tt Bool.eq_false_eq_not_eq_true
theorem eq_true_eq_not_eq_false (b : Bool) : (¬b = false) = (b = true) := by simp
#align eq_tt_eq_not_eq_ft Bool.eq_true_eq_not_eq_false
theorem eq_false_of_not_eq_true {b : Bool} : ¬b = true → b = false :=
Eq.mp (eq_false_eq_not_eq_true b)
#align eq_ff_of_not_eq_tt Bool.eq_false_of_not_eq_true
theorem eq_true_of_not_eq_false {b : Bool} : ¬b = false → b = true :=
Eq.mp (eq_true_eq_not_eq_false b)
#align eq_tt_of_not_eq_ff Bool.eq_true_of_not_eq_false
theorem and_eq_true_eq_eq_true_and_eq_true (a b : Bool) :
((a && b) = true) = (a = true ∧ b = true) := by simp
#align band_eq_true_eq_eq_tt_and_eq_tt Bool.and_eq_true_eq_eq_true_and_eq_true
| Mathlib/Init/Data/Bool/Lemmas.lean | 72 | 73 | theorem or_eq_true_eq_eq_true_or_eq_true (a b : Bool) :
((a || b) = true) = (a = true ∨ b = true) := by | simp
|
import Mathlib.Data.Set.Prod
import Mathlib.Logic.Function.Conjugate
#align_import data.set.function from "leanprover-community/mathlib"@"996b0ff959da753a555053a480f36e5f264d4207"
variable {α β γ : Type*} {ι : Sort*} {π : α → Type*}
open Equiv Equiv.Perm Function
namespace Set
section restrict
def restrict (s : Set α) (f : ∀ a : α, π a) : ∀ a : s, π a := fun x => f x
#align set.restrict Set.restrict
theorem restrict_eq (f : α → β) (s : Set α) : s.restrict f = f ∘ Subtype.val :=
rfl
#align set.restrict_eq Set.restrict_eq
@[simp]
theorem restrict_apply (f : α → β) (s : Set α) (x : s) : s.restrict f x = f x :=
rfl
#align set.restrict_apply Set.restrict_apply
theorem restrict_eq_iff {f : ∀ a, π a} {s : Set α} {g : ∀ a : s, π a} :
restrict s f = g ↔ ∀ (a) (ha : a ∈ s), f a = g ⟨a, ha⟩ :=
funext_iff.trans Subtype.forall
#align set.restrict_eq_iff Set.restrict_eq_iff
theorem eq_restrict_iff {s : Set α} {f : ∀ a : s, π a} {g : ∀ a, π a} :
f = restrict s g ↔ ∀ (a) (ha : a ∈ s), f ⟨a, ha⟩ = g a :=
funext_iff.trans Subtype.forall
#align set.eq_restrict_iff Set.eq_restrict_iff
@[simp]
theorem range_restrict (f : α → β) (s : Set α) : Set.range (s.restrict f) = f '' s :=
(range_comp _ _).trans <| congr_arg (f '' ·) Subtype.range_coe
#align set.range_restrict Set.range_restrict
theorem image_restrict (f : α → β) (s t : Set α) :
s.restrict f '' (Subtype.val ⁻¹' t) = f '' (t ∩ s) := by
rw [restrict_eq, image_comp, image_preimage_eq_inter_range, Subtype.range_coe]
#align set.image_restrict Set.image_restrict
@[simp]
theorem restrict_dite {s : Set α} [∀ x, Decidable (x ∈ s)] (f : ∀ a ∈ s, β)
(g : ∀ a ∉ s, β) :
(s.restrict fun a => if h : a ∈ s then f a h else g a h) = (fun a : s => f a a.2) :=
funext fun a => dif_pos a.2
#align set.restrict_dite Set.restrict_dite
@[simp]
theorem restrict_dite_compl {s : Set α} [∀ x, Decidable (x ∈ s)] (f : ∀ a ∈ s, β)
(g : ∀ a ∉ s, β) :
(sᶜ.restrict fun a => if h : a ∈ s then f a h else g a h) = (fun a : (sᶜ : Set α) => g a a.2) :=
funext fun a => dif_neg a.2
#align set.restrict_dite_compl Set.restrict_dite_compl
@[simp]
theorem restrict_ite (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
(s.restrict fun a => if a ∈ s then f a else g a) = s.restrict f :=
restrict_dite _ _
#align set.restrict_ite Set.restrict_ite
@[simp]
theorem restrict_ite_compl (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
(sᶜ.restrict fun a => if a ∈ s then f a else g a) = sᶜ.restrict g :=
restrict_dite_compl _ _
#align set.restrict_ite_compl Set.restrict_ite_compl
@[simp]
theorem restrict_piecewise (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
s.restrict (piecewise s f g) = s.restrict f :=
restrict_ite _ _ _
#align set.restrict_piecewise Set.restrict_piecewise
@[simp]
theorem restrict_piecewise_compl (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
sᶜ.restrict (piecewise s f g) = sᶜ.restrict g :=
restrict_ite_compl _ _ _
#align set.restrict_piecewise_compl Set.restrict_piecewise_compl
theorem restrict_extend_range (f : α → β) (g : α → γ) (g' : β → γ) :
(range f).restrict (extend f g g') = fun x => g x.coe_prop.choose := by
classical
exact restrict_dite _ _
#align set.restrict_extend_range Set.restrict_extend_range
@[simp]
theorem restrict_extend_compl_range (f : α → β) (g : α → γ) (g' : β → γ) :
(range f)ᶜ.restrict (extend f g g') = g' ∘ Subtype.val := by
classical
exact restrict_dite_compl _ _
#align set.restrict_extend_compl_range Set.restrict_extend_compl_range
| Mathlib/Data/Set/Function.lean | 130 | 136 | theorem range_extend_subset (f : α → β) (g : α → γ) (g' : β → γ) :
range (extend f g g') ⊆ range g ∪ g' '' (range f)ᶜ := by |
classical
rintro _ ⟨y, rfl⟩
rw [extend_def]
split_ifs with h
exacts [Or.inl (mem_range_self _), Or.inr (mem_image_of_mem _ h)]
|
import Mathlib.Topology.Algebra.InfiniteSum.Group
import Mathlib.Topology.Algebra.Star
noncomputable section
open Filter Finset Function
open scoped Topology
variable {α β γ δ : Type*}
section ProdDomain
variable [CommMonoid α] [TopologicalSpace α]
@[to_additive]
| Mathlib/Topology/Algebra/InfiniteSum/Constructions.lean | 33 | 35 | theorem hasProd_pi_single [DecidableEq β] (b : β) (a : α) : HasProd (Pi.mulSingle b a) a := by |
convert hasProd_ite_eq b a
simp [Pi.mulSingle_apply]
|
import Mathlib.MeasureTheory.Integral.Periodic
import Mathlib.Data.ZMod.Quotient
#align_import measure_theory.group.add_circle from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Set Function Filter MeasureTheory MeasureTheory.Measure Metric
open scoped MeasureTheory Pointwise Topology ENNReal
namespace AddCircle
variable {T : ℝ} [hT : Fact (0 < T)]
theorem closedBall_ae_eq_ball {x : AddCircle T} {ε : ℝ} : closedBall x ε =ᵐ[volume] ball x ε := by
rcases le_or_lt ε 0 with hε | hε
· rw [ball_eq_empty.mpr hε, ae_eq_empty, volume_closedBall,
min_eq_right (by linarith [hT.out] : 2 * ε ≤ T), ENNReal.ofReal_eq_zero]
exact mul_nonpos_of_nonneg_of_nonpos zero_le_two hε
· suffices volume (closedBall x ε) ≤ volume (ball x ε) by
exact (ae_eq_of_subset_of_measure_ge ball_subset_closedBall this measurableSet_ball
(measure_ne_top _ _)).symm
have : Tendsto (fun δ => volume (closedBall x δ)) (𝓝[<] ε) (𝓝 <| volume (closedBall x ε)) := by
simp_rw [volume_closedBall]
refine ENNReal.tendsto_ofReal (Tendsto.min tendsto_const_nhds <| Tendsto.const_mul _ ?_)
convert (@monotone_id ℝ _).tendsto_nhdsWithin_Iio ε
simp
refine le_of_tendsto this (mem_nhdsWithin_Iio_iff_exists_Ioo_subset.mpr ⟨0, hε, fun r hr => ?_⟩)
exact measure_mono (closedBall_subset_ball hr.2)
#align add_circle.closed_ball_ae_eq_ball AddCircle.closedBall_ae_eq_ball
| Mathlib/MeasureTheory/Group/AddCircle.lean | 54 | 92 | theorem isAddFundamentalDomain_of_ae_ball (I : Set <| AddCircle T) (u x : AddCircle T)
(hu : IsOfFinAddOrder u) (hI : I =ᵐ[volume] ball x (T / (2 * addOrderOf u))) :
IsAddFundamentalDomain (AddSubgroup.zmultiples u) I := by |
set G := AddSubgroup.zmultiples u
set n := addOrderOf u
set B := ball x (T / (2 * n))
have hn : 1 ≤ (n : ℝ) := by norm_cast; linarith [hu.addOrderOf_pos]
refine IsAddFundamentalDomain.mk_of_measure_univ_le ?_ ?_ ?_ ?_
· -- `NullMeasurableSet I volume`
exact measurableSet_ball.nullMeasurableSet.congr hI.symm
· -- `∀ (g : G), g ≠ 0 → AEDisjoint volume (g +ᵥ I) I`
rintro ⟨g, hg⟩ hg'
replace hg' : g ≠ 0 := by simpa only [Ne, AddSubgroup.mk_eq_zero] using hg'
change AEDisjoint volume (g +ᵥ I) I
refine AEDisjoint.congr (Disjoint.aedisjoint ?_)
((quasiMeasurePreserving_add_left volume (-g)).vadd_ae_eq_of_ae_eq g hI) hI
have hBg : g +ᵥ B = ball (g + x) (T / (2 * n)) := by
rw [add_comm g x, ← singleton_add_ball _ x g, add_ball, thickening_singleton]
rw [hBg]
apply ball_disjoint_ball
rw [dist_eq_norm, add_sub_cancel_right, div_mul_eq_div_div, ← add_div, ← add_div,
add_self_div_two, div_le_iff' (by positivity : 0 < (n : ℝ)), ← nsmul_eq_mul]
refine (le_add_order_smul_norm_of_isOfFinAddOrder (hu.of_mem_zmultiples hg) hg').trans
(nsmul_le_nsmul_left (norm_nonneg g) ?_)
exact Nat.le_of_dvd (addOrderOf_pos_iff.mpr hu) (addOrderOf_dvd_of_mem_zmultiples hg)
· -- `∀ (g : G), QuasiMeasurePreserving (VAdd.vadd g) volume volume`
exact fun g => quasiMeasurePreserving_add_left (G := AddCircle T) volume g
· -- `volume univ ≤ ∑' (g : G), volume (g +ᵥ I)`
replace hI := hI.trans closedBall_ae_eq_ball.symm
haveI : Fintype G := @Fintype.ofFinite _ hu.finite_zmultiples.to_subtype
have hG_card : (Finset.univ : Finset G).card = n := by
show _ = addOrderOf u
rw [← Nat.card_zmultiples, Nat.card_eq_fintype_card]; rfl
simp_rw [measure_vadd]
rw [AddCircle.measure_univ, tsum_fintype, Finset.sum_const, measure_congr hI,
volume_closedBall, ← ENNReal.ofReal_nsmul, mul_div, mul_div_mul_comm,
div_self, one_mul, min_eq_right (div_le_self hT.out.le hn), hG_card,
nsmul_eq_mul, mul_div_cancel₀ T (lt_of_lt_of_le zero_lt_one hn).ne.symm]
exact two_ne_zero
|
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Data.Finset.NatAntidiagonal
#align_import algebra.big_operators.nat_antidiagonal from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
variable {M N : Type*} [CommMonoid M] [AddCommMonoid N]
namespace Finset
namespace Nat
theorem prod_antidiagonal_succ {n : ℕ} {f : ℕ × ℕ → M} :
(∏ p ∈ antidiagonal (n + 1), f p)
= f (0, n + 1) * ∏ p ∈ antidiagonal n, f (p.1 + 1, p.2) := by
rw [antidiagonal_succ, prod_cons, prod_map]; rfl
#align finset.nat.prod_antidiagonal_succ Finset.Nat.prod_antidiagonal_succ
theorem sum_antidiagonal_succ {n : ℕ} {f : ℕ × ℕ → N} :
(∑ p ∈ antidiagonal (n + 1), f p) = f (0, n + 1) + ∑ p ∈ antidiagonal n, f (p.1 + 1, p.2) :=
@prod_antidiagonal_succ (Multiplicative N) _ _ _
#align finset.nat.sum_antidiagonal_succ Finset.Nat.sum_antidiagonal_succ
@[to_additive]
| Mathlib/Algebra/BigOperators/NatAntidiagonal.lean | 35 | 38 | theorem prod_antidiagonal_swap {n : ℕ} {f : ℕ × ℕ → M} :
∏ p ∈ antidiagonal n, f p.swap = ∏ p ∈ antidiagonal n, f p := by |
conv_lhs => rw [← map_swap_antidiagonal, Finset.prod_map]
rfl
|
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Order.Antichain
import Mathlib.Order.Interval.Finset.Nat
#align_import data.finset.slice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
open Finset Nat
variable {α : Type*} {ι : Sort*} {κ : ι → Sort*}
namespace Set
variable {A B : Set (Finset α)} {s : Finset α} {r : ℕ}
def Sized (r : ℕ) (A : Set (Finset α)) : Prop :=
∀ ⦃x⦄, x ∈ A → card x = r
#align set.sized Set.Sized
theorem Sized.mono (h : A ⊆ B) (hB : B.Sized r) : A.Sized r := fun _x hx => hB <| h hx
#align set.sized.mono Set.Sized.mono
@[simp] lemma sized_empty : (∅ : Set (Finset α)).Sized r := by simp [Sized]
@[simp] lemma sized_singleton : ({s} : Set (Finset α)).Sized r ↔ s.card = r := by simp [Sized]
theorem sized_union : (A ∪ B).Sized r ↔ A.Sized r ∧ B.Sized r :=
⟨fun hA => ⟨hA.mono subset_union_left, hA.mono subset_union_right⟩, fun hA _x hx =>
hx.elim (fun h => hA.1 h) fun h => hA.2 h⟩
#align set.sized_union Set.sized_union
alias ⟨_, sized.union⟩ := sized_union
#align set.sized.union Set.sized.union
--TODO: A `forall_iUnion` lemma would be handy here.
@[simp]
theorem sized_iUnion {f : ι → Set (Finset α)} : (⋃ i, f i).Sized r ↔ ∀ i, (f i).Sized r := by
simp_rw [Set.Sized, Set.mem_iUnion, forall_exists_index]
exact forall_swap
#align set.sized_Union Set.sized_iUnion
-- @[simp] -- Porting note: left hand side is not simp-normal form.
| Mathlib/Data/Finset/Slice.lean | 70 | 72 | theorem sized_iUnion₂ {f : ∀ i, κ i → Set (Finset α)} :
(⋃ (i) (j), f i j).Sized r ↔ ∀ i j, (f i j).Sized r := by |
simp only [Set.sized_iUnion]
|
import Mathlib.CategoryTheory.Functor.FullyFaithful
import Mathlib.CategoryTheory.FullSubcategory
import Mathlib.CategoryTheory.Whiskering
import Mathlib.CategoryTheory.EssentialImage
import Mathlib.Tactic.CategoryTheory.Slice
#align_import category_theory.equivalence from "leanprover-community/mathlib"@"9aba7801eeecebb61f58a5763c2b6dd1b47dc6ef"
namespace CategoryTheory
open CategoryTheory.Functor NatIso Category
-- declare the `v`'s first; see `CategoryTheory.Category` for an explanation
universe v₁ v₂ v₃ u₁ u₂ u₃
@[ext]
structure Equivalence (C : Type u₁) (D : Type u₂) [Category.{v₁} C] [Category.{v₂} D] where mk' ::
functor : C ⥤ D
inverse : D ⥤ C
unitIso : 𝟭 C ≅ functor ⋙ inverse
counitIso : inverse ⋙ functor ≅ 𝟭 D
functor_unitIso_comp :
∀ X : C, functor.map (unitIso.hom.app X) ≫ counitIso.hom.app (functor.obj X) =
𝟙 (functor.obj X) := by aesop_cat
#align category_theory.equivalence CategoryTheory.Equivalence
#align category_theory.equivalence.unit_iso CategoryTheory.Equivalence.unitIso
#align category_theory.equivalence.counit_iso CategoryTheory.Equivalence.counitIso
#align category_theory.equivalence.functor_unit_iso_comp CategoryTheory.Equivalence.functor_unitIso_comp
infixr:10 " ≌ " => Equivalence
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D]
namespace Equivalence
abbrev unit (e : C ≌ D) : 𝟭 C ⟶ e.functor ⋙ e.inverse :=
e.unitIso.hom
#align category_theory.equivalence.unit CategoryTheory.Equivalence.unit
abbrev counit (e : C ≌ D) : e.inverse ⋙ e.functor ⟶ 𝟭 D :=
e.counitIso.hom
#align category_theory.equivalence.counit CategoryTheory.Equivalence.counit
abbrev unitInv (e : C ≌ D) : e.functor ⋙ e.inverse ⟶ 𝟭 C :=
e.unitIso.inv
#align category_theory.equivalence.unit_inv CategoryTheory.Equivalence.unitInv
abbrev counitInv (e : C ≌ D) : 𝟭 D ⟶ e.inverse ⋙ e.functor :=
e.counitIso.inv
#align category_theory.equivalence.counit_inv CategoryTheory.Equivalence.counitInv
@[simp]
theorem Equivalence_mk'_unit (functor inverse unit_iso counit_iso f) :
(⟨functor, inverse, unit_iso, counit_iso, f⟩ : C ≌ D).unit = unit_iso.hom :=
rfl
#align category_theory.equivalence.equivalence_mk'_unit CategoryTheory.Equivalence.Equivalence_mk'_unit
@[simp]
theorem Equivalence_mk'_counit (functor inverse unit_iso counit_iso f) :
(⟨functor, inverse, unit_iso, counit_iso, f⟩ : C ≌ D).counit = counit_iso.hom :=
rfl
#align category_theory.equivalence.equivalence_mk'_counit CategoryTheory.Equivalence.Equivalence_mk'_counit
@[simp]
theorem Equivalence_mk'_unitInv (functor inverse unit_iso counit_iso f) :
(⟨functor, inverse, unit_iso, counit_iso, f⟩ : C ≌ D).unitInv = unit_iso.inv :=
rfl
#align category_theory.equivalence.equivalence_mk'_unit_inv CategoryTheory.Equivalence.Equivalence_mk'_unitInv
@[simp]
theorem Equivalence_mk'_counitInv (functor inverse unit_iso counit_iso f) :
(⟨functor, inverse, unit_iso, counit_iso, f⟩ : C ≌ D).counitInv = counit_iso.inv :=
rfl
#align category_theory.equivalence.equivalence_mk'_counit_inv CategoryTheory.Equivalence.Equivalence_mk'_counitInv
@[reassoc (attr := simp)]
theorem functor_unit_comp (e : C ≌ D) (X : C) :
e.functor.map (e.unit.app X) ≫ e.counit.app (e.functor.obj X) = 𝟙 (e.functor.obj X) :=
e.functor_unitIso_comp X
#align category_theory.equivalence.functor_unit_comp CategoryTheory.Equivalence.functor_unit_comp
@[reassoc (attr := simp)]
theorem counitInv_functor_comp (e : C ≌ D) (X : C) :
e.counitInv.app (e.functor.obj X) ≫ e.functor.map (e.unitInv.app X) = 𝟙 (e.functor.obj X) := by
erw [Iso.inv_eq_inv (e.functor.mapIso (e.unitIso.app X) ≪≫ e.counitIso.app (e.functor.obj X))
(Iso.refl _)]
exact e.functor_unit_comp X
#align category_theory.equivalence.counit_inv_functor_comp CategoryTheory.Equivalence.counitInv_functor_comp
theorem counitInv_app_functor (e : C ≌ D) (X : C) :
e.counitInv.app (e.functor.obj X) = e.functor.map (e.unit.app X) := by
symm
erw [← Iso.comp_hom_eq_id (e.counitIso.app _), functor_unit_comp]
rfl
#align category_theory.equivalence.counit_inv_app_functor CategoryTheory.Equivalence.counitInv_app_functor
theorem counit_app_functor (e : C ≌ D) (X : C) :
e.counit.app (e.functor.obj X) = e.functor.map (e.unitInv.app X) := by
erw [← Iso.hom_comp_eq_id (e.functor.mapIso (e.unitIso.app X)), functor_unit_comp]
rfl
#align category_theory.equivalence.counit_app_functor CategoryTheory.Equivalence.counit_app_functor
@[reassoc (attr := simp)]
theorem unit_inverse_comp (e : C ≌ D) (Y : D) :
e.unit.app (e.inverse.obj Y) ≫ e.inverse.map (e.counit.app Y) = 𝟙 (e.inverse.obj Y) := by
rw [← id_comp (e.inverse.map _), ← map_id e.inverse, ← counitInv_functor_comp, map_comp]
dsimp
rw [← Iso.hom_inv_id_assoc (e.unitIso.app _) (e.inverse.map (e.functor.map _)), app_hom, app_inv]
slice_lhs 2 3 => erw [e.unit.naturality]
slice_lhs 1 2 => erw [e.unit.naturality]
slice_lhs 4 4 =>
rw [← Iso.hom_inv_id_assoc (e.inverse.mapIso (e.counitIso.app _)) (e.unitInv.app _)]
slice_lhs 3 4 =>
erw [← map_comp e.inverse, e.counit.naturality]
erw [(e.counitIso.app _).hom_inv_id, map_id]
erw [id_comp]
slice_lhs 2 3 => erw [← map_comp e.inverse, e.counitIso.inv.naturality, map_comp]
slice_lhs 3 4 => erw [e.unitInv.naturality]
slice_lhs 4 5 => erw [← map_comp (e.functor ⋙ e.inverse), (e.unitIso.app _).hom_inv_id, map_id]
erw [id_comp]
slice_lhs 3 4 => erw [← e.unitInv.naturality]
slice_lhs 2 3 =>
erw [← map_comp e.inverse, ← e.counitIso.inv.naturality, (e.counitIso.app _).hom_inv_id,
map_id]
erw [id_comp, (e.unitIso.app _).hom_inv_id]; rfl
#align category_theory.equivalence.unit_inverse_comp CategoryTheory.Equivalence.unit_inverse_comp
@[reassoc (attr := simp)]
theorem inverse_counitInv_comp (e : C ≌ D) (Y : D) :
e.inverse.map (e.counitInv.app Y) ≫ e.unitInv.app (e.inverse.obj Y) = 𝟙 (e.inverse.obj Y) := by
erw [Iso.inv_eq_inv (e.unitIso.app (e.inverse.obj Y) ≪≫ e.inverse.mapIso (e.counitIso.app Y))
(Iso.refl _)]
exact e.unit_inverse_comp Y
#align category_theory.equivalence.inverse_counit_inv_comp CategoryTheory.Equivalence.inverse_counitInv_comp
theorem unit_app_inverse (e : C ≌ D) (Y : D) :
e.unit.app (e.inverse.obj Y) = e.inverse.map (e.counitInv.app Y) := by
erw [← Iso.comp_hom_eq_id (e.inverse.mapIso (e.counitIso.app Y)), unit_inverse_comp]
dsimp
#align category_theory.equivalence.unit_app_inverse CategoryTheory.Equivalence.unit_app_inverse
theorem unitInv_app_inverse (e : C ≌ D) (Y : D) :
e.unitInv.app (e.inverse.obj Y) = e.inverse.map (e.counit.app Y) := by
symm
erw [← Iso.hom_comp_eq_id (e.unitIso.app _), unit_inverse_comp]
rfl
#align category_theory.equivalence.unit_inv_app_inverse CategoryTheory.Equivalence.unitInv_app_inverse
@[reassoc, simp]
theorem fun_inv_map (e : C ≌ D) (X Y : D) (f : X ⟶ Y) :
e.functor.map (e.inverse.map f) = e.counit.app X ≫ f ≫ e.counitInv.app Y :=
(NatIso.naturality_2 e.counitIso f).symm
#align category_theory.equivalence.fun_inv_map CategoryTheory.Equivalence.fun_inv_map
@[reassoc, simp]
theorem inv_fun_map (e : C ≌ D) (X Y : C) (f : X ⟶ Y) :
e.inverse.map (e.functor.map f) = e.unitInv.app X ≫ f ≫ e.unit.app Y :=
(NatIso.naturality_1 e.unitIso f).symm
#align category_theory.equivalence.inv_fun_map CategoryTheory.Equivalence.inv_fun_map
section
-- In this section we convert an arbitrary equivalence to a half-adjoint equivalence.
variable {F : C ⥤ D} {G : D ⥤ C} (η : 𝟭 C ≅ F ⋙ G) (ε : G ⋙ F ≅ 𝟭 D)
def adjointifyη : 𝟭 C ≅ F ⋙ G := by
calc
𝟭 C ≅ F ⋙ G := η
_ ≅ F ⋙ 𝟭 D ⋙ G := isoWhiskerLeft F (leftUnitor G).symm
_ ≅ F ⋙ (G ⋙ F) ⋙ G := isoWhiskerLeft F (isoWhiskerRight ε.symm G)
_ ≅ F ⋙ G ⋙ F ⋙ G := isoWhiskerLeft F (associator G F G)
_ ≅ (F ⋙ G) ⋙ F ⋙ G := (associator F G (F ⋙ G)).symm
_ ≅ 𝟭 C ⋙ F ⋙ G := isoWhiskerRight η.symm (F ⋙ G)
_ ≅ F ⋙ G := leftUnitor (F ⋙ G)
#align category_theory.equivalence.adjointify_η CategoryTheory.Equivalence.adjointifyη
@[reassoc]
theorem adjointify_η_ε (X : C) :
F.map ((adjointifyη η ε).hom.app X) ≫ ε.hom.app (F.obj X) = 𝟙 (F.obj X) := by
dsimp [adjointifyη,Trans.trans]
simp only [comp_id, assoc, map_comp]
have := ε.hom.naturality (F.map (η.inv.app X)); dsimp at this; rw [this]; clear this
rw [← assoc _ _ (F.map _)]
have := ε.hom.naturality (ε.inv.app <| F.obj X); dsimp at this; rw [this]; clear this
have := (ε.app <| F.obj X).hom_inv_id; dsimp at this; rw [this]; clear this
rw [id_comp]; have := (F.mapIso <| η.app X).hom_inv_id; dsimp at this; rw [this]
#align category_theory.equivalence.adjointify_η_ε CategoryTheory.Equivalence.adjointify_η_ε
end
protected def mk (F : C ⥤ D) (G : D ⥤ C) (η : 𝟭 C ≅ F ⋙ G) (ε : G ⋙ F ≅ 𝟭 D) : C ≌ D :=
⟨F, G, adjointifyη η ε, ε, adjointify_η_ε η ε⟩
#align category_theory.equivalence.mk CategoryTheory.Equivalence.mk
@[refl, simps]
def refl : C ≌ C :=
⟨𝟭 C, 𝟭 C, Iso.refl _, Iso.refl _, fun _ => Category.id_comp _⟩
#align category_theory.equivalence.refl CategoryTheory.Equivalence.refl
instance : Inhabited (C ≌ C) :=
⟨refl⟩
@[symm, simps]
def symm (e : C ≌ D) : D ≌ C :=
⟨e.inverse, e.functor, e.counitIso.symm, e.unitIso.symm, e.inverse_counitInv_comp⟩
#align category_theory.equivalence.symm CategoryTheory.Equivalence.symm
variable {E : Type u₃} [Category.{v₃} E]
@[trans, simps]
def trans (e : C ≌ D) (f : D ≌ E) : C ≌ E where
functor := e.functor ⋙ f.functor
inverse := f.inverse ⋙ e.inverse
unitIso := by
refine Iso.trans e.unitIso ?_
exact isoWhiskerLeft e.functor (isoWhiskerRight f.unitIso e.inverse)
counitIso := by
refine Iso.trans ?_ f.counitIso
exact isoWhiskerLeft f.inverse (isoWhiskerRight e.counitIso f.functor)
-- We wouldn't have needed to give this proof if we'd used `Equivalence.mk`,
-- but we choose to avoid using that here, for the sake of good structure projection `simp`
-- lemmas.
functor_unitIso_comp X := by
dsimp
rw [← f.functor.map_comp_assoc, e.functor.map_comp, ← counitInv_app_functor, fun_inv_map,
Iso.inv_hom_id_app_assoc, assoc, Iso.inv_hom_id_app, counit_app_functor, ← Functor.map_comp]
erw [comp_id, Iso.hom_inv_id_app, Functor.map_id]
#align category_theory.equivalence.trans CategoryTheory.Equivalence.trans
def funInvIdAssoc (e : C ≌ D) (F : C ⥤ E) : e.functor ⋙ e.inverse ⋙ F ≅ F :=
(Functor.associator _ _ _).symm ≪≫ isoWhiskerRight e.unitIso.symm F ≪≫ F.leftUnitor
#align category_theory.equivalence.fun_inv_id_assoc CategoryTheory.Equivalence.funInvIdAssoc
@[simp]
theorem funInvIdAssoc_hom_app (e : C ≌ D) (F : C ⥤ E) (X : C) :
(funInvIdAssoc e F).hom.app X = F.map (e.unitInv.app X) := by
dsimp [funInvIdAssoc]
aesop_cat
#align category_theory.equivalence.fun_inv_id_assoc_hom_app CategoryTheory.Equivalence.funInvIdAssoc_hom_app
@[simp]
theorem funInvIdAssoc_inv_app (e : C ≌ D) (F : C ⥤ E) (X : C) :
(funInvIdAssoc e F).inv.app X = F.map (e.unit.app X) := by
dsimp [funInvIdAssoc]
aesop_cat
#align category_theory.equivalence.fun_inv_id_assoc_inv_app CategoryTheory.Equivalence.funInvIdAssoc_inv_app
def invFunIdAssoc (e : C ≌ D) (F : D ⥤ E) : e.inverse ⋙ e.functor ⋙ F ≅ F :=
(Functor.associator _ _ _).symm ≪≫ isoWhiskerRight e.counitIso F ≪≫ F.leftUnitor
#align category_theory.equivalence.inv_fun_id_assoc CategoryTheory.Equivalence.invFunIdAssoc
@[simp]
theorem invFunIdAssoc_hom_app (e : C ≌ D) (F : D ⥤ E) (X : D) :
(invFunIdAssoc e F).hom.app X = F.map (e.counit.app X) := by
dsimp [invFunIdAssoc]
aesop_cat
#align category_theory.equivalence.inv_fun_id_assoc_hom_app CategoryTheory.Equivalence.invFunIdAssoc_hom_app
@[simp]
theorem invFunIdAssoc_inv_app (e : C ≌ D) (F : D ⥤ E) (X : D) :
(invFunIdAssoc e F).inv.app X = F.map (e.counitInv.app X) := by
dsimp [invFunIdAssoc]
aesop_cat
#align category_theory.equivalence.inv_fun_id_assoc_inv_app CategoryTheory.Equivalence.invFunIdAssoc_inv_app
@[simps! functor inverse unitIso counitIso]
def congrLeft (e : C ≌ D) : C ⥤ E ≌ D ⥤ E :=
Equivalence.mk ((whiskeringLeft _ _ _).obj e.inverse) ((whiskeringLeft _ _ _).obj e.functor)
(NatIso.ofComponents fun F => (e.funInvIdAssoc F).symm)
(NatIso.ofComponents fun F => e.invFunIdAssoc F)
#align category_theory.equivalence.congr_left CategoryTheory.Equivalence.congrLeft
@[simps! functor inverse unitIso counitIso]
def congrRight (e : C ≌ D) : E ⥤ C ≌ E ⥤ D :=
Equivalence.mk ((whiskeringRight _ _ _).obj e.functor) ((whiskeringRight _ _ _).obj e.inverse)
(NatIso.ofComponents
fun F => F.rightUnitor.symm ≪≫ isoWhiskerLeft F e.unitIso ≪≫ Functor.associator _ _ _)
(NatIso.ofComponents
fun F => Functor.associator _ _ _ ≪≫ isoWhiskerLeft F e.counitIso ≪≫ F.rightUnitor)
#align category_theory.equivalence.congr_right CategoryTheory.Equivalence.congrRight
section CancellationLemmas
variable (e : C ≌ D)
@[simp]
theorem cancel_unit_right {X Y : C} (f f' : X ⟶ Y) :
f ≫ e.unit.app Y = f' ≫ e.unit.app Y ↔ f = f' := by simp only [cancel_mono]
#align category_theory.equivalence.cancel_unit_right CategoryTheory.Equivalence.cancel_unit_right
@[simp]
theorem cancel_unitInv_right {X Y : C} (f f' : X ⟶ e.inverse.obj (e.functor.obj Y)) :
f ≫ e.unitInv.app Y = f' ≫ e.unitInv.app Y ↔ f = f' := by simp only [cancel_mono]
#align category_theory.equivalence.cancel_unit_inv_right CategoryTheory.Equivalence.cancel_unitInv_right
@[simp]
theorem cancel_counit_right {X Y : D} (f f' : X ⟶ e.functor.obj (e.inverse.obj Y)) :
f ≫ e.counit.app Y = f' ≫ e.counit.app Y ↔ f = f' := by simp only [cancel_mono]
#align category_theory.equivalence.cancel_counit_right CategoryTheory.Equivalence.cancel_counit_right
@[simp]
theorem cancel_counitInv_right {X Y : D} (f f' : X ⟶ Y) :
f ≫ e.counitInv.app Y = f' ≫ e.counitInv.app Y ↔ f = f' := by simp only [cancel_mono]
#align category_theory.equivalence.cancel_counit_inv_right CategoryTheory.Equivalence.cancel_counitInv_right
@[simp]
| Mathlib/CategoryTheory/Equivalence.lean | 405 | 407 | theorem cancel_unit_right_assoc {W X X' Y : C} (f : W ⟶ X) (g : X ⟶ Y) (f' : W ⟶ X') (g' : X' ⟶ Y) :
f ≫ g ≫ e.unit.app Y = f' ≫ g' ≫ e.unit.app Y ↔ f ≫ g = f' ≫ g' := by |
simp only [← Category.assoc, cancel_mono]
|
import Mathlib.CategoryTheory.Subobject.Lattice
#align_import category_theory.subobject.limits from "leanprover-community/mathlib"@"956af7c76589f444f2e1313911bad16366ea476d"
universe v u
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject Opposite
variable {C : Type u} [Category.{v} C] {X Y Z : C}
namespace CategoryTheory
namespace Limits
section Equalizer
variable (f g : X ⟶ Y) [HasEqualizer f g]
abbrev equalizerSubobject : Subobject X :=
Subobject.mk (equalizer.ι f g)
#align category_theory.limits.equalizer_subobject CategoryTheory.Limits.equalizerSubobject
def equalizerSubobjectIso : (equalizerSubobject f g : C) ≅ equalizer f g :=
Subobject.underlyingIso (equalizer.ι f g)
#align category_theory.limits.equalizer_subobject_iso CategoryTheory.Limits.equalizerSubobjectIso
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Subobject/Limits.lean | 50 | 52 | theorem equalizerSubobject_arrow :
(equalizerSubobjectIso f g).hom ≫ equalizer.ι f g = (equalizerSubobject f g).arrow := by |
simp [equalizerSubobjectIso]
|
import Mathlib.RingTheory.DedekindDomain.Ideal
import Mathlib.RingTheory.Valuation.ExtendToLocalization
import Mathlib.RingTheory.Valuation.ValuationSubring
import Mathlib.Topology.Algebra.ValuedField
import Mathlib.Algebra.Order.Group.TypeTags
#align_import ring_theory.dedekind_domain.adic_valuation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open scoped Classical DiscreteValuation
open Multiplicative IsDedekindDomain
variable {R : Type*} [CommRing R] [IsDedekindDomain R] {K : Type*} [Field K]
[Algebra R K] [IsFractionRing R K] (v : HeightOneSpectrum R)
namespace IsDedekindDomain.HeightOneSpectrum
def intValuationDef (r : R) : ℤₘ₀ :=
if r = 0 then 0
else
↑(Multiplicative.ofAdd
(-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ))
#align is_dedekind_domain.height_one_spectrum.int_valuation_def IsDedekindDomain.HeightOneSpectrum.intValuationDef
theorem intValuationDef_if_pos {r : R} (hr : r = 0) : v.intValuationDef r = 0 :=
if_pos hr
#align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_pos IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_pos
theorem intValuationDef_if_neg {r : R} (hr : r ≠ 0) :
v.intValuationDef r =
Multiplicative.ofAdd
(-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ) :=
if_neg hr
#align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_neg IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_neg
theorem int_valuation_ne_zero (x : R) (hx : x ≠ 0) : v.intValuationDef x ≠ 0 := by
rw [intValuationDef, if_neg hx]
exact WithZero.coe_ne_zero
#align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero
theorem int_valuation_ne_zero' (x : nonZeroDivisors R) : v.intValuationDef x ≠ 0 :=
v.int_valuation_ne_zero x (nonZeroDivisors.coe_ne_zero x)
#align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero' IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero'
theorem int_valuation_zero_le (x : nonZeroDivisors R) : 0 < v.intValuationDef x := by
rw [v.intValuationDef_if_neg (nonZeroDivisors.coe_ne_zero x)]
exact WithZero.zero_lt_coe _
#align is_dedekind_domain.height_one_spectrum.int_valuation_zero_le IsDedekindDomain.HeightOneSpectrum.int_valuation_zero_le
theorem int_valuation_le_one (x : R) : v.intValuationDef x ≤ 1 := by
rw [intValuationDef]
by_cases hx : x = 0
· rw [if_pos hx]; exact WithZero.zero_le 1
· rw [if_neg hx, ← WithZero.coe_one, ← ofAdd_zero, WithZero.coe_le_coe, ofAdd_le,
Right.neg_nonpos_iff]
exact Int.natCast_nonneg _
#align is_dedekind_domain.height_one_spectrum.int_valuation_le_one IsDedekindDomain.HeightOneSpectrum.int_valuation_le_one
theorem int_valuation_lt_one_iff_dvd (r : R) :
v.intValuationDef r < 1 ↔ v.asIdeal ∣ Ideal.span {r} := by
rw [intValuationDef]
split_ifs with hr
· simp [hr]
· rw [← WithZero.coe_one, ← ofAdd_zero, WithZero.coe_lt_coe, ofAdd_lt, neg_lt_zero, ←
Int.ofNat_zero, Int.ofNat_lt, zero_lt_iff]
have h : (Ideal.span {r} : Ideal R) ≠ 0 := by
rw [Ne, Ideal.zero_eq_bot, Ideal.span_singleton_eq_bot]
exact hr
apply Associates.count_ne_zero_iff_dvd h (by apply v.irreducible)
#align is_dedekind_domain.height_one_spectrum.int_valuation_lt_one_iff_dvd IsDedekindDomain.HeightOneSpectrum.int_valuation_lt_one_iff_dvd
theorem int_valuation_le_pow_iff_dvd (r : R) (n : ℕ) :
v.intValuationDef r ≤ Multiplicative.ofAdd (-(n : ℤ)) ↔ v.asIdeal ^ n ∣ Ideal.span {r} := by
rw [intValuationDef]
split_ifs with hr
· simp_rw [hr, Ideal.dvd_span_singleton, zero_le', Submodule.zero_mem]
· rw [WithZero.coe_le_coe, ofAdd_le, neg_le_neg_iff, Int.ofNat_le, Ideal.dvd_span_singleton, ←
Associates.le_singleton_iff,
Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hr)
(by apply v.associates_irreducible)]
#align is_dedekind_domain.height_one_spectrum.int_valuation_le_pow_iff_dvd IsDedekindDomain.HeightOneSpectrum.int_valuation_le_pow_iff_dvd
theorem IntValuation.map_zero' : v.intValuationDef 0 = 0 :=
v.intValuationDef_if_pos (Eq.refl 0)
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_zero' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_zero'
theorem IntValuation.map_one' : v.intValuationDef 1 = 1 := by
rw [v.intValuationDef_if_neg (zero_ne_one.symm : (1 : R) ≠ 0), Ideal.span_singleton_one, ←
Ideal.one_eq_top, Associates.mk_one, Associates.factors_one,
Associates.count_zero (by apply v.associates_irreducible), Int.ofNat_zero, neg_zero, ofAdd_zero,
WithZero.coe_one]
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_one' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_one'
theorem IntValuation.map_mul' (x y : R) :
v.intValuationDef (x * y) = v.intValuationDef x * v.intValuationDef y := by
simp only [intValuationDef]
by_cases hx : x = 0
· rw [hx, zero_mul, if_pos (Eq.refl _), zero_mul]
· by_cases hy : y = 0
· rw [hy, mul_zero, if_pos (Eq.refl _), mul_zero]
· rw [if_neg hx, if_neg hy, if_neg (mul_ne_zero hx hy), ← WithZero.coe_mul, WithZero.coe_inj, ←
ofAdd_add, ← Ideal.span_singleton_mul_span_singleton, ← Associates.mk_mul_mk, ← neg_add,
Associates.count_mul (by apply Associates.mk_ne_zero'.mpr hx)
(by apply Associates.mk_ne_zero'.mpr hy) (by apply v.associates_irreducible)]
rfl
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_mul' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_mul'
theorem IntValuation.le_max_iff_min_le {a b c : ℕ} :
Multiplicative.ofAdd (-c : ℤ) ≤
max (Multiplicative.ofAdd (-a : ℤ)) (Multiplicative.ofAdd (-b : ℤ)) ↔
min a b ≤ c := by
rw [le_max_iff, ofAdd_le, ofAdd_le, neg_le_neg_iff, neg_le_neg_iff, Int.ofNat_le, Int.ofNat_le,
← min_le_iff]
#align is_dedekind_domain.height_one_spectrum.int_valuation.le_max_iff_min_le IsDedekindDomain.HeightOneSpectrum.IntValuation.le_max_iff_min_le
theorem IntValuation.map_add_le_max' (x y : R) :
v.intValuationDef (x + y) ≤ max (v.intValuationDef x) (v.intValuationDef y) := by
by_cases hx : x = 0
· rw [hx, zero_add]
conv_rhs => rw [intValuationDef, if_pos (Eq.refl _)]
rw [max_eq_right (WithZero.zero_le (v.intValuationDef y))]
· by_cases hy : y = 0
· rw [hy, add_zero]
conv_rhs => rw [max_comm, intValuationDef, if_pos (Eq.refl _)]
rw [max_eq_right (WithZero.zero_le (v.intValuationDef x))]
· by_cases hxy : x + y = 0
· rw [intValuationDef, if_pos hxy]; exact zero_le'
· rw [v.intValuationDef_if_neg hxy, v.intValuationDef_if_neg hx,
v.intValuationDef_if_neg hy, WithZero.le_max_iff, IntValuation.le_max_iff_min_le]
set nmin :=
min ((Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {x})).factors)
((Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {y})).factors)
have h_dvd_x : x ∈ v.asIdeal ^ nmin := by
rw [← Associates.le_singleton_iff x nmin _,
Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hx) _]
· exact min_le_left _ _
apply v.associates_irreducible
have h_dvd_y : y ∈ v.asIdeal ^ nmin := by
rw [← Associates.le_singleton_iff y nmin _,
Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hy) _]
· exact min_le_right _ _
apply v.associates_irreducible
have h_dvd_xy : Associates.mk v.asIdeal ^ nmin ≤ Associates.mk (Ideal.span {x + y}) := by
rw [Associates.le_singleton_iff]
exact Ideal.add_mem (v.asIdeal ^ nmin) h_dvd_x h_dvd_y
rw [Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hxy) _] at h_dvd_xy
· exact h_dvd_xy
apply v.associates_irreducible
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_add_le_max' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_add_le_max'
@[simps]
def intValuation : Valuation R ℤₘ₀ where
toFun := v.intValuationDef
map_zero' := IntValuation.map_zero' v
map_one' := IntValuation.map_one' v
map_mul' := IntValuation.map_mul' v
map_add_le_max' := IntValuation.map_add_le_max' v
#align is_dedekind_domain.height_one_spectrum.int_valuation IsDedekindDomain.HeightOneSpectrum.intValuation
theorem int_valuation_exists_uniformizer :
∃ π : R, v.intValuationDef π = Multiplicative.ofAdd (-1 : ℤ) := by
have hv : _root_.Irreducible (Associates.mk v.asIdeal) := v.associates_irreducible
have hlt : v.asIdeal ^ 2 < v.asIdeal := by
rw [← Ideal.dvdNotUnit_iff_lt]
exact
⟨v.ne_bot, v.asIdeal, (not_congr Ideal.isUnit_iff).mpr (Ideal.IsPrime.ne_top v.isPrime),
sq v.asIdeal⟩
obtain ⟨π, mem, nmem⟩ := SetLike.exists_of_lt hlt
have hπ : Associates.mk (Ideal.span {π}) ≠ 0 := by
rw [Associates.mk_ne_zero']
intro h
rw [h] at nmem
exact nmem (Submodule.zero_mem (v.asIdeal ^ 2))
use π
rw [intValuationDef, if_neg (Associates.mk_ne_zero'.mp hπ), WithZero.coe_inj]
apply congr_arg
rw [neg_inj, ← Int.ofNat_one, Int.natCast_inj]
rw [← Ideal.dvd_span_singleton, ← Associates.mk_le_mk_iff_dvd] at mem nmem
rw [← pow_one (Associates.mk v.asIdeal), Associates.prime_pow_dvd_iff_le hπ hv] at mem
rw [Associates.mk_pow, Associates.prime_pow_dvd_iff_le hπ hv, not_le] at nmem
exact Nat.eq_of_le_of_lt_succ mem nmem
#align is_dedekind_domain.height_one_spectrum.int_valuation_exists_uniformizer IsDedekindDomain.HeightOneSpectrum.int_valuation_exists_uniformizer
def valuation (v : HeightOneSpectrum R) : Valuation K ℤₘ₀ :=
v.intValuation.extendToLocalization
(fun r hr => Set.mem_compl <| v.int_valuation_ne_zero' ⟨r, hr⟩) K
#align is_dedekind_domain.height_one_spectrum.valuation IsDedekindDomain.HeightOneSpectrum.valuation
theorem valuation_def (x : K) :
v.valuation x =
v.intValuation.extendToLocalization
(fun r hr => Set.mem_compl (v.int_valuation_ne_zero' ⟨r, hr⟩)) K x :=
rfl
#align is_dedekind_domain.height_one_spectrum.valuation_def IsDedekindDomain.HeightOneSpectrum.valuation_def
theorem valuation_of_mk' {r : R} {s : nonZeroDivisors R} :
v.valuation (IsLocalization.mk' K r s) = v.intValuation r / v.intValuation s := by
erw [valuation_def, (IsLocalization.toLocalizationMap (nonZeroDivisors R) K).lift_mk',
div_eq_mul_inv, mul_eq_mul_left_iff]
left
rw [Units.val_inv_eq_inv_val, inv_inj]
rfl
#align is_dedekind_domain.height_one_spectrum.valuation_of_mk' IsDedekindDomain.HeightOneSpectrum.valuation_of_mk'
theorem valuation_of_algebraMap (r : R) : v.valuation (algebraMap R K r) = v.intValuation r := by
rw [valuation_def, Valuation.extendToLocalization_apply_map_apply]
#align is_dedekind_domain.height_one_spectrum.valuation_of_algebra_map IsDedekindDomain.HeightOneSpectrum.valuation_of_algebraMap
theorem valuation_le_one (r : R) : v.valuation (algebraMap R K r) ≤ 1 := by
rw [valuation_of_algebraMap]; exact v.int_valuation_le_one r
#align is_dedekind_domain.height_one_spectrum.valuation_le_one IsDedekindDomain.HeightOneSpectrum.valuation_le_one
theorem valuation_lt_one_iff_dvd (r : R) :
v.valuation (algebraMap R K r) < 1 ↔ v.asIdeal ∣ Ideal.span {r} := by
rw [valuation_of_algebraMap]; exact v.int_valuation_lt_one_iff_dvd r
#align is_dedekind_domain.height_one_spectrum.valuation_lt_one_iff_dvd IsDedekindDomain.HeightOneSpectrum.valuation_lt_one_iff_dvd
variable (K)
| Mathlib/RingTheory/DedekindDomain/AdicValuation.lean | 303 | 307 | theorem valuation_exists_uniformizer : ∃ π : K, v.valuation π = Multiplicative.ofAdd (-1 : ℤ) := by |
obtain ⟨r, hr⟩ := v.int_valuation_exists_uniformizer
use algebraMap R K r
rw [valuation_def, Valuation.extendToLocalization_apply_map_apply]
exact hr
|
import Mathlib.Order.Filter.Cofinite
import Mathlib.Order.Hom.CompleteLattice
#align_import order.liminf_limsup from "leanprover-community/mathlib"@"ffde2d8a6e689149e44fd95fa862c23a57f8c780"
set_option autoImplicit true
open Filter Set Function
variable {α β γ ι ι' : Type*}
namespace Filter
section Relation
def IsBounded (r : α → α → Prop) (f : Filter α) :=
∃ b, ∀ᶠ x in f, r x b
#align filter.is_bounded Filter.IsBounded
def IsBoundedUnder (r : α → α → Prop) (f : Filter β) (u : β → α) :=
(map u f).IsBounded r
#align filter.is_bounded_under Filter.IsBoundedUnder
variable {r : α → α → Prop} {f g : Filter α}
theorem isBounded_iff : f.IsBounded r ↔ ∃ s ∈ f.sets, ∃ b, s ⊆ { x | r x b } :=
Iff.intro (fun ⟨b, hb⟩ => ⟨{ a | r a b }, hb, b, Subset.refl _⟩) fun ⟨_, hs, b, hb⟩ =>
⟨b, mem_of_superset hs hb⟩
#align filter.is_bounded_iff Filter.isBounded_iff
theorem isBoundedUnder_of {f : Filter β} {u : β → α} : (∃ b, ∀ x, r (u x) b) → f.IsBoundedUnder r u
| ⟨b, hb⟩ => ⟨b, show ∀ᶠ x in f, r (u x) b from eventually_of_forall hb⟩
#align filter.is_bounded_under_of Filter.isBoundedUnder_of
theorem isBounded_bot : IsBounded r ⊥ ↔ Nonempty α := by simp [IsBounded, exists_true_iff_nonempty]
#align filter.is_bounded_bot Filter.isBounded_bot
theorem isBounded_top : IsBounded r ⊤ ↔ ∃ t, ∀ x, r x t := by simp [IsBounded, eq_univ_iff_forall]
#align filter.is_bounded_top Filter.isBounded_top
theorem isBounded_principal (s : Set α) : IsBounded r (𝓟 s) ↔ ∃ t, ∀ x ∈ s, r x t := by
simp [IsBounded, subset_def]
#align filter.is_bounded_principal Filter.isBounded_principal
theorem isBounded_sup [IsTrans α r] [IsDirected α r] :
IsBounded r f → IsBounded r g → IsBounded r (f ⊔ g)
| ⟨b₁, h₁⟩, ⟨b₂, h₂⟩ =>
let ⟨b, rb₁b, rb₂b⟩ := directed_of r b₁ b₂
⟨b, eventually_sup.mpr
⟨h₁.mono fun _ h => _root_.trans h rb₁b, h₂.mono fun _ h => _root_.trans h rb₂b⟩⟩
#align filter.is_bounded_sup Filter.isBounded_sup
theorem IsBounded.mono (h : f ≤ g) : IsBounded r g → IsBounded r f
| ⟨b, hb⟩ => ⟨b, h hb⟩
#align filter.is_bounded.mono Filter.IsBounded.mono
theorem IsBoundedUnder.mono {f g : Filter β} {u : β → α} (h : f ≤ g) :
g.IsBoundedUnder r u → f.IsBoundedUnder r u := fun hg => IsBounded.mono (map_mono h) hg
#align filter.is_bounded_under.mono Filter.IsBoundedUnder.mono
theorem IsBoundedUnder.mono_le [Preorder β] {l : Filter α} {u v : α → β}
(hu : IsBoundedUnder (· ≤ ·) l u) (hv : v ≤ᶠ[l] u) : IsBoundedUnder (· ≤ ·) l v := by
apply hu.imp
exact fun b hb => (eventually_map.1 hb).mp <| hv.mono fun x => le_trans
#align filter.is_bounded_under.mono_le Filter.IsBoundedUnder.mono_le
theorem IsBoundedUnder.mono_ge [Preorder β] {l : Filter α} {u v : α → β}
(hu : IsBoundedUnder (· ≥ ·) l u) (hv : u ≤ᶠ[l] v) : IsBoundedUnder (· ≥ ·) l v :=
IsBoundedUnder.mono_le (β := βᵒᵈ) hu hv
#align filter.is_bounded_under.mono_ge Filter.IsBoundedUnder.mono_ge
theorem isBoundedUnder_const [IsRefl α r] {l : Filter β} {a : α} : IsBoundedUnder r l fun _ => a :=
⟨a, eventually_map.2 <| eventually_of_forall fun _ => refl _⟩
#align filter.is_bounded_under_const Filter.isBoundedUnder_const
theorem IsBounded.isBoundedUnder {q : β → β → Prop} {u : α → β}
(hu : ∀ a₀ a₁, r a₀ a₁ → q (u a₀) (u a₁)) : f.IsBounded r → f.IsBoundedUnder q u
| ⟨b, h⟩ => ⟨u b, show ∀ᶠ x in f, q (u x) (u b) from h.mono fun x => hu x b⟩
#align filter.is_bounded.is_bounded_under Filter.IsBounded.isBoundedUnder
theorem IsBoundedUnder.comp {l : Filter γ} {q : β → β → Prop} {u : γ → α} {v : α → β}
(hv : ∀ a₀ a₁, r a₀ a₁ → q (v a₀) (v a₁)) : l.IsBoundedUnder r u → l.IsBoundedUnder q (v ∘ u)
| ⟨a, h⟩ => ⟨v a, show ∀ᶠ x in map u l, q (v x) (v a) from h.mono fun x => hv x a⟩
lemma _root_.BddAbove.isBoundedUnder [Preorder α] {f : Filter β} {u : β → α} :
BddAbove (Set.range u) → f.IsBoundedUnder (· ≤ ·) u
| ⟨b, hb⟩ => isBoundedUnder_of ⟨b, by simpa [mem_upperBounds] using hb⟩
lemma _root_.BddBelow.isBoundedUnder [Preorder α] {f : Filter β} {u : β → α} :
BddBelow (Set.range u) → f.IsBoundedUnder (· ≥ ·) u
| ⟨b, hb⟩ => isBoundedUnder_of ⟨b, by simpa [mem_lowerBounds] using hb⟩
theorem _root_.Monotone.isBoundedUnder_le_comp [Preorder α] [Preorder β] {l : Filter γ} {u : γ → α}
{v : α → β} (hv : Monotone v) (hl : l.IsBoundedUnder (· ≤ ·) u) :
l.IsBoundedUnder (· ≤ ·) (v ∘ u) :=
hl.comp hv
theorem _root_.Monotone.isBoundedUnder_ge_comp [Preorder α] [Preorder β] {l : Filter γ} {u : γ → α}
{v : α → β} (hv : Monotone v) (hl : l.IsBoundedUnder (· ≥ ·) u) :
l.IsBoundedUnder (· ≥ ·) (v ∘ u) :=
hl.comp (swap hv)
theorem _root_.Antitone.isBoundedUnder_le_comp [Preorder α] [Preorder β] {l : Filter γ} {u : γ → α}
{v : α → β} (hv : Antitone v) (hl : l.IsBoundedUnder (· ≥ ·) u) :
l.IsBoundedUnder (· ≤ ·) (v ∘ u) :=
hl.comp (swap hv)
theorem _root_.Antitone.isBoundedUnder_ge_comp [Preorder α] [Preorder β] {l : Filter γ} {u : γ → α}
{v : α → β} (hv : Antitone v) (hl : l.IsBoundedUnder (· ≤ ·) u) :
l.IsBoundedUnder (· ≥ ·) (v ∘ u) :=
hl.comp hv
theorem not_isBoundedUnder_of_tendsto_atTop [Preorder β] [NoMaxOrder β] {f : α → β} {l : Filter α}
[l.NeBot] (hf : Tendsto f l atTop) : ¬IsBoundedUnder (· ≤ ·) l f := by
rintro ⟨b, hb⟩
rw [eventually_map] at hb
obtain ⟨b', h⟩ := exists_gt b
have hb' := (tendsto_atTop.mp hf) b'
have : { x : α | f x ≤ b } ∩ { x : α | b' ≤ f x } = ∅ :=
eq_empty_of_subset_empty fun x hx => (not_le_of_lt h) (le_trans hx.2 hx.1)
exact (nonempty_of_mem (hb.and hb')).ne_empty this
#align filter.not_is_bounded_under_of_tendsto_at_top Filter.not_isBoundedUnder_of_tendsto_atTop
theorem not_isBoundedUnder_of_tendsto_atBot [Preorder β] [NoMinOrder β] {f : α → β} {l : Filter α}
[l.NeBot] (hf : Tendsto f l atBot) : ¬IsBoundedUnder (· ≥ ·) l f :=
not_isBoundedUnder_of_tendsto_atTop (β := βᵒᵈ) hf
#align filter.not_is_bounded_under_of_tendsto_at_bot Filter.not_isBoundedUnder_of_tendsto_atBot
theorem IsBoundedUnder.bddAbove_range_of_cofinite [Preorder β] [IsDirected β (· ≤ ·)] {f : α → β}
(hf : IsBoundedUnder (· ≤ ·) cofinite f) : BddAbove (range f) := by
rcases hf with ⟨b, hb⟩
haveI : Nonempty β := ⟨b⟩
rw [← image_univ, ← union_compl_self { x | f x ≤ b }, image_union, bddAbove_union]
exact ⟨⟨b, forall_mem_image.2 fun x => id⟩, (hb.image f).bddAbove⟩
#align filter.is_bounded_under.bdd_above_range_of_cofinite Filter.IsBoundedUnder.bddAbove_range_of_cofinite
theorem IsBoundedUnder.bddBelow_range_of_cofinite [Preorder β] [IsDirected β (· ≥ ·)] {f : α → β}
(hf : IsBoundedUnder (· ≥ ·) cofinite f) : BddBelow (range f) :=
IsBoundedUnder.bddAbove_range_of_cofinite (β := βᵒᵈ) hf
#align filter.is_bounded_under.bdd_below_range_of_cofinite Filter.IsBoundedUnder.bddBelow_range_of_cofinite
| Mathlib/Order/LiminfLimsup.lean | 186 | 189 | theorem IsBoundedUnder.bddAbove_range [Preorder β] [IsDirected β (· ≤ ·)] {f : ℕ → β}
(hf : IsBoundedUnder (· ≤ ·) atTop f) : BddAbove (range f) := by |
rw [← Nat.cofinite_eq_atTop] at hf
exact hf.bddAbove_range_of_cofinite
|
import Mathlib.Algebra.Associated
import Mathlib.Algebra.Ring.Regular
import Mathlib.Tactic.Common
#align_import algebra.gcd_monoid.basic from "leanprover-community/mathlib"@"550b58538991c8977703fdeb7c9d51a5aa27df11"
variable {α : Type*}
-- Porting note: mathlib3 had a `@[protect_proj]` here, but adding `protected` to all the fields
-- adds unnecessary clutter to later code
class NormalizationMonoid (α : Type*) [CancelCommMonoidWithZero α] where
normUnit : α → αˣ
normUnit_zero : normUnit 0 = 1
normUnit_mul : ∀ {a b}, a ≠ 0 → b ≠ 0 → normUnit (a * b) = normUnit a * normUnit b
normUnit_coe_units : ∀ u : αˣ, normUnit u = u⁻¹
#align normalization_monoid NormalizationMonoid
export NormalizationMonoid (normUnit normUnit_zero normUnit_mul normUnit_coe_units)
attribute [simp] normUnit_coe_units normUnit_zero normUnit_mul
section NormalizationMonoid
variable [CancelCommMonoidWithZero α] [NormalizationMonoid α]
@[simp]
theorem normUnit_one : normUnit (1 : α) = 1 :=
normUnit_coe_units 1
#align norm_unit_one normUnit_one
-- Porting note (#11083): quite slow. Improve performance?
def normalize : α →*₀ α where
toFun x := x * normUnit x
map_zero' := by
simp only [normUnit_zero]
exact mul_one (0:α)
map_one' := by dsimp only; rw [normUnit_one, one_mul]; rfl
map_mul' x y :=
(by_cases fun hx : x = 0 => by dsimp only; rw [hx, zero_mul, zero_mul, zero_mul]) fun hx =>
(by_cases fun hy : y = 0 => by dsimp only; rw [hy, mul_zero, zero_mul, mul_zero]) fun hy => by
simp only [normUnit_mul hx hy, Units.val_mul]; simp only [mul_assoc, mul_left_comm y]
#align normalize normalize
theorem associated_normalize (x : α) : Associated x (normalize x) :=
⟨_, rfl⟩
#align associated_normalize associated_normalize
theorem normalize_associated (x : α) : Associated (normalize x) x :=
(associated_normalize _).symm
#align normalize_associated normalize_associated
theorem associated_normalize_iff {x y : α} : Associated x (normalize y) ↔ Associated x y :=
⟨fun h => h.trans (normalize_associated y), fun h => h.trans (associated_normalize y)⟩
#align associated_normalize_iff associated_normalize_iff
theorem normalize_associated_iff {x y : α} : Associated (normalize x) y ↔ Associated x y :=
⟨fun h => (associated_normalize _).trans h, fun h => (normalize_associated _).trans h⟩
#align normalize_associated_iff normalize_associated_iff
theorem Associates.mk_normalize (x : α) : Associates.mk (normalize x) = Associates.mk x :=
Associates.mk_eq_mk_iff_associated.2 (normalize_associated _)
#align associates.mk_normalize Associates.mk_normalize
@[simp]
theorem normalize_apply (x : α) : normalize x = x * normUnit x :=
rfl
#align normalize_apply normalize_apply
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem normalize_zero : normalize (0 : α) = 0 :=
normalize.map_zero
#align normalize_zero normalize_zero
-- Porting note (#10618): `simp` can prove this
-- @[simp]
theorem normalize_one : normalize (1 : α) = 1 :=
normalize.map_one
#align normalize_one normalize_one
theorem normalize_coe_units (u : αˣ) : normalize (u : α) = 1 := by simp
#align normalize_coe_units normalize_coe_units
theorem normalize_eq_zero {x : α} : normalize x = 0 ↔ x = 0 :=
⟨fun hx => (associated_zero_iff_eq_zero x).1 <| hx ▸ associated_normalize _, by
rintro rfl; exact normalize_zero⟩
#align normalize_eq_zero normalize_eq_zero
theorem normalize_eq_one {x : α} : normalize x = 1 ↔ IsUnit x :=
⟨fun hx => isUnit_iff_exists_inv.2 ⟨_, hx⟩, fun ⟨u, hu⟩ => hu ▸ normalize_coe_units u⟩
#align normalize_eq_one normalize_eq_one
-- Porting note (#11083): quite slow. Improve performance?
@[simp]
theorem normUnit_mul_normUnit (a : α) : normUnit (a * normUnit a) = 1 := by
nontriviality α using Subsingleton.elim a 0
obtain rfl | h := eq_or_ne a 0
· rw [normUnit_zero, zero_mul, normUnit_zero]
· rw [normUnit_mul h (Units.ne_zero _), normUnit_coe_units, mul_inv_eq_one]
#align norm_unit_mul_norm_unit normUnit_mul_normUnit
theorem normalize_idem (x : α) : normalize (normalize x) = normalize x := by simp
#align normalize_idem normalize_idem
| Mathlib/Algebra/GCDMonoid/Basic.lean | 172 | 181 | theorem normalize_eq_normalize {a b : α} (hab : a ∣ b) (hba : b ∣ a) :
normalize a = normalize b := by |
nontriviality α
rcases associated_of_dvd_dvd hab hba with ⟨u, rfl⟩
refine by_cases (by rintro rfl; simp only [zero_mul]) fun ha : a ≠ 0 => ?_
suffices a * ↑(normUnit a) = a * ↑u * ↑(normUnit a) * ↑u⁻¹ by
simpa only [normalize_apply, mul_assoc, normUnit_mul ha u.ne_zero, normUnit_coe_units]
calc
a * ↑(normUnit a) = a * ↑(normUnit a) * ↑u * ↑u⁻¹ := (Units.mul_inv_cancel_right _ _).symm
_ = a * ↑u * ↑(normUnit a) * ↑u⁻¹ := by rw [mul_right_comm a]
|
import Mathlib.Data.List.Basic
#align_import data.list.count from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
assert_not_exists Set.range
assert_not_exists GroupWithZero
assert_not_exists Ring
open Nat
variable {α : Type*} {l : List α}
namespace List
section Count
variable [DecidableEq α]
#align list.count_nil List.count_nil
@[deprecated (since := "2023-08-23")]
| Mathlib/Data/List/Count.lean | 90 | 93 | theorem count_cons' (a b : α) (l : List α) :
count a (b :: l) = count a l + if a = b then 1 else 0 := by |
simp only [count, beq_iff_eq, countP_cons, Nat.add_right_inj]
simp only [eq_comm]
|
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.RingTheory.Localization.FractionRing
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
noncomputable section
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R] [IsDomain R] {p q : R[X]}
section Roots
open Multiset Finset
noncomputable def roots (p : R[X]) : Multiset R :=
haveI := Classical.decEq R
haveI := Classical.dec (p = 0)
if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h)
#align polynomial.roots Polynomial.roots
theorem roots_def [DecidableEq R] (p : R[X]) [Decidable (p = 0)] :
p.roots = if h : p = 0 then ∅ else Classical.choose (exists_multiset_roots h) := by
-- porting noteL `‹_›` doesn't work for instance arguments
rename_i iR ip0
obtain rfl := Subsingleton.elim iR (Classical.decEq R)
obtain rfl := Subsingleton.elim ip0 (Classical.dec (p = 0))
rfl
#align polynomial.roots_def Polynomial.roots_def
@[simp]
theorem roots_zero : (0 : R[X]).roots = 0 :=
dif_pos rfl
#align polynomial.roots_zero Polynomial.roots_zero
theorem card_roots (hp0 : p ≠ 0) : (Multiset.card (roots p) : WithBot ℕ) ≤ degree p := by
classical
unfold roots
rw [dif_neg hp0]
exact (Classical.choose_spec (exists_multiset_roots hp0)).1
#align polynomial.card_roots Polynomial.card_roots
theorem card_roots' (p : R[X]) : Multiset.card p.roots ≤ natDegree p := by
by_cases hp0 : p = 0
· simp [hp0]
exact WithBot.coe_le_coe.1 (le_trans (card_roots hp0) (le_of_eq <| degree_eq_natDegree hp0))
#align polynomial.card_roots' Polynomial.card_roots'
theorem card_roots_sub_C {p : R[X]} {a : R} (hp0 : 0 < degree p) :
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree p :=
calc
(Multiset.card (p - C a).roots : WithBot ℕ) ≤ degree (p - C a) :=
card_roots <| mt sub_eq_zero.1 fun h => not_le_of_gt hp0 <| h.symm ▸ degree_C_le
_ = degree p := by rw [sub_eq_add_neg, ← C_neg]; exact degree_add_C hp0
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_sub_C Polynomial.card_roots_sub_C
theorem card_roots_sub_C' {p : R[X]} {a : R} (hp0 : 0 < degree p) :
Multiset.card (p - C a).roots ≤ natDegree p :=
WithBot.coe_le_coe.1
(le_trans (card_roots_sub_C hp0)
(le_of_eq <| degree_eq_natDegree fun h => by simp_all [lt_irrefl]))
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_sub_C' Polynomial.card_roots_sub_C'
@[simp]
theorem count_roots [DecidableEq R] (p : R[X]) : p.roots.count a = rootMultiplicity a p := by
classical
by_cases hp : p = 0
· simp [hp]
rw [roots_def, dif_neg hp]
exact (Classical.choose_spec (exists_multiset_roots hp)).2 a
#align polynomial.count_roots Polynomial.count_roots
@[simp]
theorem mem_roots' : a ∈ p.roots ↔ p ≠ 0 ∧ IsRoot p a := by
classical
rw [← count_pos, count_roots p, rootMultiplicity_pos']
#align polynomial.mem_roots' Polynomial.mem_roots'
theorem mem_roots (hp : p ≠ 0) : a ∈ p.roots ↔ IsRoot p a :=
mem_roots'.trans <| and_iff_right hp
#align polynomial.mem_roots Polynomial.mem_roots
theorem ne_zero_of_mem_roots (h : a ∈ p.roots) : p ≠ 0 :=
(mem_roots'.1 h).1
#align polynomial.ne_zero_of_mem_roots Polynomial.ne_zero_of_mem_roots
theorem isRoot_of_mem_roots (h : a ∈ p.roots) : IsRoot p a :=
(mem_roots'.1 h).2
#align polynomial.is_root_of_mem_roots Polynomial.isRoot_of_mem_roots
-- Porting note: added during port.
lemma mem_roots_iff_aeval_eq_zero {x : R} (w : p ≠ 0) : x ∈ roots p ↔ aeval x p = 0 := by
rw [mem_roots w, IsRoot.def, aeval_def, eval₂_eq_eval_map]
simp
theorem card_le_degree_of_subset_roots {p : R[X]} {Z : Finset R} (h : Z.val ⊆ p.roots) :
Z.card ≤ p.natDegree :=
(Multiset.card_le_card (Finset.val_le_iff_val_subset.2 h)).trans (Polynomial.card_roots' p)
#align polynomial.card_le_degree_of_subset_roots Polynomial.card_le_degree_of_subset_roots
theorem finite_setOf_isRoot {p : R[X]} (hp : p ≠ 0) : Set.Finite { x | IsRoot p x } := by
classical
simpa only [← Finset.setOf_mem, Multiset.mem_toFinset, mem_roots hp]
using p.roots.toFinset.finite_toSet
#align polynomial.finite_set_of_is_root Polynomial.finite_setOf_isRoot
theorem eq_zero_of_infinite_isRoot (p : R[X]) (h : Set.Infinite { x | IsRoot p x }) : p = 0 :=
not_imp_comm.mp finite_setOf_isRoot h
#align polynomial.eq_zero_of_infinite_is_root Polynomial.eq_zero_of_infinite_isRoot
theorem exists_max_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x ≤ x₀ :=
Set.exists_upper_bound_image _ _ <| finite_setOf_isRoot hp
#align polynomial.exists_max_root Polynomial.exists_max_root
theorem exists_min_root [LinearOrder R] (p : R[X]) (hp : p ≠ 0) : ∃ x₀, ∀ x, p.IsRoot x → x₀ ≤ x :=
Set.exists_lower_bound_image _ _ <| finite_setOf_isRoot hp
#align polynomial.exists_min_root Polynomial.exists_min_root
theorem eq_of_infinite_eval_eq (p q : R[X]) (h : Set.Infinite { x | eval x p = eval x q }) :
p = q := by
rw [← sub_eq_zero]
apply eq_zero_of_infinite_isRoot
simpa only [IsRoot, eval_sub, sub_eq_zero]
#align polynomial.eq_of_infinite_eval_eq Polynomial.eq_of_infinite_eval_eq
theorem roots_mul {p q : R[X]} (hpq : p * q ≠ 0) : (p * q).roots = p.roots + q.roots := by
classical
exact Multiset.ext.mpr fun r => by
rw [count_add, count_roots, count_roots, count_roots, rootMultiplicity_mul hpq]
#align polynomial.roots_mul Polynomial.roots_mul
theorem roots.le_of_dvd (h : q ≠ 0) : p ∣ q → roots p ≤ roots q := by
rintro ⟨k, rfl⟩
exact Multiset.le_iff_exists_add.mpr ⟨k.roots, roots_mul h⟩
#align polynomial.roots.le_of_dvd Polynomial.roots.le_of_dvd
theorem mem_roots_sub_C' {p : R[X]} {a x : R} : x ∈ (p - C a).roots ↔ p ≠ C a ∧ p.eval x = a := by
rw [mem_roots', IsRoot.def, sub_ne_zero, eval_sub, sub_eq_zero, eval_C]
set_option linter.uppercaseLean3 false in
#align polynomial.mem_roots_sub_C' Polynomial.mem_roots_sub_C'
theorem mem_roots_sub_C {p : R[X]} {a x : R} (hp0 : 0 < degree p) :
x ∈ (p - C a).roots ↔ p.eval x = a :=
mem_roots_sub_C'.trans <| and_iff_right fun hp => hp0.not_le <| hp.symm ▸ degree_C_le
set_option linter.uppercaseLean3 false in
#align polynomial.mem_roots_sub_C Polynomial.mem_roots_sub_C
@[simp]
theorem roots_X_sub_C (r : R) : roots (X - C r) = {r} := by
classical
ext s
rw [count_roots, rootMultiplicity_X_sub_C, count_singleton]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X_sub_C Polynomial.roots_X_sub_C
@[simp]
theorem roots_X : roots (X : R[X]) = {0} := by rw [← roots_X_sub_C, C_0, sub_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X Polynomial.roots_X
@[simp]
theorem roots_C (x : R) : (C x).roots = 0 := by
classical exact
if H : x = 0 then by rw [H, C_0, roots_zero]
else
Multiset.ext.mpr fun r => (by
rw [count_roots, count_zero, rootMultiplicity_eq_zero (not_isRoot_C _ _ H)])
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C Polynomial.roots_C
@[simp]
theorem roots_one : (1 : R[X]).roots = ∅ :=
roots_C 1
#align polynomial.roots_one Polynomial.roots_one
@[simp]
theorem roots_C_mul (p : R[X]) (ha : a ≠ 0) : (C a * p).roots = p.roots := by
by_cases hp : p = 0 <;>
simp only [roots_mul, *, Ne, mul_eq_zero, C_eq_zero, or_self_iff, not_false_iff, roots_C,
zero_add, mul_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C_mul Polynomial.roots_C_mul
@[simp]
theorem roots_smul_nonzero (p : R[X]) (ha : a ≠ 0) : (a • p).roots = p.roots := by
rw [smul_eq_C_mul, roots_C_mul _ ha]
#align polynomial.roots_smul_nonzero Polynomial.roots_smul_nonzero
@[simp]
lemma roots_neg (p : R[X]) : (-p).roots = p.roots := by
rw [← neg_one_smul R p, roots_smul_nonzero p (neg_ne_zero.mpr one_ne_zero)]
theorem roots_list_prod (L : List R[X]) :
(0 : R[X]) ∉ L → L.prod.roots = (L : Multiset R[X]).bind roots :=
List.recOn L (fun _ => roots_one) fun hd tl ih H => by
rw [List.mem_cons, not_or] at H
rw [List.prod_cons, roots_mul (mul_ne_zero (Ne.symm H.1) <| List.prod_ne_zero H.2), ←
Multiset.cons_coe, Multiset.cons_bind, ih H.2]
#align polynomial.roots_list_prod Polynomial.roots_list_prod
theorem roots_multiset_prod (m : Multiset R[X]) : (0 : R[X]) ∉ m → m.prod.roots = m.bind roots := by
rcases m with ⟨L⟩
simpa only [Multiset.prod_coe, quot_mk_to_coe''] using roots_list_prod L
#align polynomial.roots_multiset_prod Polynomial.roots_multiset_prod
theorem roots_prod {ι : Type*} (f : ι → R[X]) (s : Finset ι) :
s.prod f ≠ 0 → (s.prod f).roots = s.val.bind fun i => roots (f i) := by
rcases s with ⟨m, hm⟩
simpa [Multiset.prod_eq_zero_iff, Multiset.bind_map] using roots_multiset_prod (m.map f)
#align polynomial.roots_prod Polynomial.roots_prod
@[simp]
theorem roots_pow (p : R[X]) (n : ℕ) : (p ^ n).roots = n • p.roots := by
induction' n with n ihn
· rw [pow_zero, roots_one, zero_smul, empty_eq_zero]
· rcases eq_or_ne p 0 with (rfl | hp)
· rw [zero_pow n.succ_ne_zero, roots_zero, smul_zero]
· rw [pow_succ, roots_mul (mul_ne_zero (pow_ne_zero _ hp) hp), ihn, add_smul, one_smul]
#align polynomial.roots_pow Polynomial.roots_pow
theorem roots_X_pow (n : ℕ) : (X ^ n : R[X]).roots = n • ({0} : Multiset R) := by
rw [roots_pow, roots_X]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_X_pow Polynomial.roots_X_pow
theorem roots_C_mul_X_pow (ha : a ≠ 0) (n : ℕ) :
Polynomial.roots (C a * X ^ n) = n • ({0} : Multiset R) := by
rw [roots_C_mul _ ha, roots_X_pow]
set_option linter.uppercaseLean3 false in
#align polynomial.roots_C_mul_X_pow Polynomial.roots_C_mul_X_pow
@[simp]
theorem roots_monomial (ha : a ≠ 0) (n : ℕ) : (monomial n a).roots = n • ({0} : Multiset R) := by
rw [← C_mul_X_pow_eq_monomial, roots_C_mul_X_pow ha]
#align polynomial.roots_monomial Polynomial.roots_monomial
theorem roots_prod_X_sub_C (s : Finset R) : (s.prod fun a => X - C a).roots = s.val := by
apply (roots_prod (fun a => X - C a) s ?_).trans
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· refine prod_ne_zero_iff.mpr (fun a _ => X_sub_C_ne_zero a)
set_option linter.uppercaseLean3 false in
#align polynomial.roots_prod_X_sub_C Polynomial.roots_prod_X_sub_C
@[simp]
theorem roots_multiset_prod_X_sub_C (s : Multiset R) : (s.map fun a => X - C a).prod.roots = s := by
rw [roots_multiset_prod, Multiset.bind_map]
· simp_rw [roots_X_sub_C]
rw [Multiset.bind_singleton, Multiset.map_id']
· rw [Multiset.mem_map]
rintro ⟨a, -, h⟩
exact X_sub_C_ne_zero a h
set_option linter.uppercaseLean3 false in
#align polynomial.roots_multiset_prod_X_sub_C Polynomial.roots_multiset_prod_X_sub_C
theorem card_roots_X_pow_sub_C {n : ℕ} (hn : 0 < n) (a : R) :
Multiset.card (roots ((X : R[X]) ^ n - C a)) ≤ n :=
WithBot.coe_le_coe.1 <|
calc
(Multiset.card (roots ((X : R[X]) ^ n - C a)) : WithBot ℕ) ≤ degree ((X : R[X]) ^ n - C a) :=
card_roots (X_pow_sub_C_ne_zero hn a)
_ = n := degree_X_pow_sub_C hn a
set_option linter.uppercaseLean3 false in
#align polynomial.card_roots_X_pow_sub_C Polynomial.card_roots_X_pow_sub_C
section NthRoots
def nthRoots (n : ℕ) (a : R) : Multiset R :=
roots ((X : R[X]) ^ n - C a)
#align polynomial.nth_roots Polynomial.nthRoots
@[simp]
theorem mem_nthRoots {n : ℕ} (hn : 0 < n) {a x : R} : x ∈ nthRoots n a ↔ x ^ n = a := by
rw [nthRoots, mem_roots (X_pow_sub_C_ne_zero hn a), IsRoot.def, eval_sub, eval_C, eval_pow,
eval_X, sub_eq_zero]
#align polynomial.mem_nth_roots Polynomial.mem_nthRoots
@[simp]
theorem nthRoots_zero (r : R) : nthRoots 0 r = 0 := by
simp only [empty_eq_zero, pow_zero, nthRoots, ← C_1, ← C_sub, roots_C]
#align polynomial.nth_roots_zero Polynomial.nthRoots_zero
@[simp]
theorem nthRoots_zero_right {R} [CommRing R] [IsDomain R] (n : ℕ) :
nthRoots n (0 : R) = Multiset.replicate n 0 := by
rw [nthRoots, C.map_zero, sub_zero, roots_pow, roots_X, Multiset.nsmul_singleton]
theorem card_nthRoots (n : ℕ) (a : R) : Multiset.card (nthRoots n a) ≤ n := by
classical exact
(if hn : n = 0 then
if h : (X : R[X]) ^ n - C a = 0 then by
simp [Nat.zero_le, nthRoots, roots, h, dif_pos rfl, empty_eq_zero, Multiset.card_zero]
else
WithBot.coe_le_coe.1
(le_trans (card_roots h)
(by
rw [hn, pow_zero, ← C_1, ← RingHom.map_sub]
exact degree_C_le))
else by
rw [← Nat.cast_le (α := WithBot ℕ)]
rw [← degree_X_pow_sub_C (Nat.pos_of_ne_zero hn) a]
exact card_roots (X_pow_sub_C_ne_zero (Nat.pos_of_ne_zero hn) a))
#align polynomial.card_nth_roots Polynomial.card_nthRoots
@[simp]
| Mathlib/Algebra/Polynomial/Roots.lean | 342 | 344 | theorem nthRoots_two_eq_zero_iff {r : R} : nthRoots 2 r = 0 ↔ ¬IsSquare r := by |
simp_rw [isSquare_iff_exists_sq, eq_zero_iff_forall_not_mem, mem_nthRoots (by norm_num : 0 < 2),
← not_exists, eq_comm]
|
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.MeasureTheory.Group.Pointwise
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.MeasureTheory.Measure.Doubling
import Mathlib.MeasureTheory.Constructions.BorelSpace.Metric
#align_import measure_theory.measure.lebesgue.eq_haar from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
assert_not_exists MeasureTheory.integral
open TopologicalSpace Set Filter Metric Bornology
open scoped ENNReal Pointwise Topology NNReal
def TopologicalSpace.PositiveCompacts.Icc01 : PositiveCompacts ℝ where
carrier := Icc 0 1
isCompact' := isCompact_Icc
interior_nonempty' := by simp_rw [interior_Icc, nonempty_Ioo, zero_lt_one]
#align topological_space.positive_compacts.Icc01 TopologicalSpace.PositiveCompacts.Icc01
universe u
def TopologicalSpace.PositiveCompacts.piIcc01 (ι : Type*) [Finite ι] :
PositiveCompacts (ι → ℝ) where
carrier := pi univ fun _ => Icc 0 1
isCompact' := isCompact_univ_pi fun _ => isCompact_Icc
interior_nonempty' := by
simp only [interior_pi_set, Set.toFinite, interior_Icc, univ_pi_nonempty_iff, nonempty_Ioo,
imp_true_iff, zero_lt_one]
#align topological_space.positive_compacts.pi_Icc01 TopologicalSpace.PositiveCompacts.piIcc01
theorem Basis.parallelepiped_basisFun (ι : Type*) [Fintype ι] :
(Pi.basisFun ℝ ι).parallelepiped = TopologicalSpace.PositiveCompacts.piIcc01 ι :=
SetLike.coe_injective <| by
refine Eq.trans ?_ ((uIcc_of_le ?_).trans (Set.pi_univ_Icc _ _).symm)
· classical convert parallelepiped_single (ι := ι) 1
· exact zero_le_one
#align basis.parallelepiped_basis_fun Basis.parallelepiped_basisFun
theorem Basis.parallelepiped_eq_map {ι E : Type*} [Fintype ι] [NormedAddCommGroup E]
[NormedSpace ℝ E] (b : Basis ι ℝ E) :
b.parallelepiped = (PositiveCompacts.piIcc01 ι).map b.equivFun.symm
b.equivFunL.symm.continuous b.equivFunL.symm.isOpenMap := by
classical
rw [← Basis.parallelepiped_basisFun, ← Basis.parallelepiped_map]
congr with x
simp
open MeasureTheory MeasureTheory.Measure
theorem Basis.map_addHaar {ι E F : Type*} [Fintype ι] [NormedAddCommGroup E] [NormedAddCommGroup F]
[NormedSpace ℝ E] [NormedSpace ℝ F] [MeasurableSpace E] [MeasurableSpace F] [BorelSpace E]
[BorelSpace F] [SecondCountableTopology F] [SigmaCompactSpace F]
(b : Basis ι ℝ E) (f : E ≃L[ℝ] F) :
map f b.addHaar = (b.map f.toLinearEquiv).addHaar := by
have : IsAddHaarMeasure (map f b.addHaar) :=
AddEquiv.isAddHaarMeasure_map b.addHaar f.toAddEquiv f.continuous f.symm.continuous
rw [eq_comm, Basis.addHaar_eq_iff, Measure.map_apply f.continuous.measurable
(PositiveCompacts.isCompact _).measurableSet, Basis.coe_parallelepiped, Basis.coe_map]
erw [← image_parallelepiped, f.toEquiv.preimage_image, addHaar_self]
namespace MeasureTheory
open Measure TopologicalSpace.PositiveCompacts FiniteDimensional
theorem addHaarMeasure_eq_volume : addHaarMeasure Icc01 = volume := by
convert (addHaarMeasure_unique volume Icc01).symm; simp [Icc01]
#align measure_theory.add_haar_measure_eq_volume MeasureTheory.addHaarMeasure_eq_volume
theorem addHaarMeasure_eq_volume_pi (ι : Type*) [Fintype ι] :
addHaarMeasure (piIcc01 ι) = volume := by
convert (addHaarMeasure_unique volume (piIcc01 ι)).symm
simp only [piIcc01, volume_pi_pi fun _ => Icc (0 : ℝ) 1, PositiveCompacts.coe_mk,
Compacts.coe_mk, Finset.prod_const_one, ENNReal.ofReal_one, Real.volume_Icc, one_smul, sub_zero]
#align measure_theory.add_haar_measure_eq_volume_pi MeasureTheory.addHaarMeasure_eq_volume_pi
-- Porting note (#11215): TODO: remove this instance?
instance isAddHaarMeasure_volume_pi (ι : Type*) [Fintype ι] :
IsAddHaarMeasure (volume : Measure (ι → ℝ)) :=
inferInstance
#align measure_theory.is_add_haar_measure_volume_pi MeasureTheory.isAddHaarMeasure_volume_pi
namespace Measure
theorem addHaar_eq_zero_of_disjoint_translates_aux {E : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E)
[IsAddHaarMeasure μ] {s : Set E} (u : ℕ → E) (sb : IsBounded s) (hu : IsBounded (range u))
(hs : Pairwise (Disjoint on fun n => {u n} + s)) (h's : MeasurableSet s) : μ s = 0 := by
by_contra h
apply lt_irrefl ∞
calc
∞ = ∑' _ : ℕ, μ s := (ENNReal.tsum_const_eq_top_of_ne_zero h).symm
_ = ∑' n : ℕ, μ ({u n} + s) := by
congr 1; ext1 n; simp only [image_add_left, measure_preimage_add, singleton_add]
_ = μ (⋃ n, {u n} + s) := Eq.symm <| measure_iUnion hs fun n => by
simpa only [image_add_left, singleton_add] using measurable_id.const_add _ h's
_ = μ (range u + s) := by rw [← iUnion_add, iUnion_singleton_eq_range]
_ < ∞ := (hu.add sb).measure_lt_top
#align measure_theory.measure.add_haar_eq_zero_of_disjoint_translates_aux MeasureTheory.Measure.addHaar_eq_zero_of_disjoint_translates_aux
theorem addHaar_eq_zero_of_disjoint_translates {E : Type*} [NormedAddCommGroup E]
[NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E)
[IsAddHaarMeasure μ] {s : Set E} (u : ℕ → E) (hu : IsBounded (range u))
(hs : Pairwise (Disjoint on fun n => {u n} + s)) (h's : MeasurableSet s) : μ s = 0 := by
suffices H : ∀ R, μ (s ∩ closedBall 0 R) = 0 by
apply le_antisymm _ (zero_le _)
calc
μ s ≤ ∑' n : ℕ, μ (s ∩ closedBall 0 n) := by
conv_lhs => rw [← iUnion_inter_closedBall_nat s 0]
exact measure_iUnion_le _
_ = 0 := by simp only [H, tsum_zero]
intro R
apply addHaar_eq_zero_of_disjoint_translates_aux μ u
(isBounded_closedBall.subset inter_subset_right) hu _ (h's.inter measurableSet_closedBall)
refine pairwise_disjoint_mono hs fun n => ?_
exact add_subset_add Subset.rfl inter_subset_left
#align measure_theory.measure.add_haar_eq_zero_of_disjoint_translates MeasureTheory.Measure.addHaar_eq_zero_of_disjoint_translates
theorem addHaar_submodule {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E]
[BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] (s : Submodule ℝ E)
(hs : s ≠ ⊤) : μ s = 0 := by
obtain ⟨x, hx⟩ : ∃ x, x ∉ s := by
simpa only [Submodule.eq_top_iff', not_exists, Ne, not_forall] using hs
obtain ⟨c, cpos, cone⟩ : ∃ c : ℝ, 0 < c ∧ c < 1 := ⟨1 / 2, by norm_num, by norm_num⟩
have A : IsBounded (range fun n : ℕ => c ^ n • x) :=
have : Tendsto (fun n : ℕ => c ^ n • x) atTop (𝓝 ((0 : ℝ) • x)) :=
(tendsto_pow_atTop_nhds_zero_of_lt_one cpos.le cone).smul_const x
isBounded_range_of_tendsto _ this
apply addHaar_eq_zero_of_disjoint_translates μ _ A _
(Submodule.closed_of_finiteDimensional s).measurableSet
intro m n hmn
simp only [Function.onFun, image_add_left, singleton_add, disjoint_left, mem_preimage,
SetLike.mem_coe]
intro y hym hyn
have A : (c ^ n - c ^ m) • x ∈ s := by
convert s.sub_mem hym hyn using 1
simp only [sub_smul, neg_sub_neg, add_sub_add_right_eq_sub]
have H : c ^ n - c ^ m ≠ 0 := by
simpa only [sub_eq_zero, Ne] using (pow_right_strictAnti cpos cone).injective.ne hmn.symm
have : x ∈ s := by
convert s.smul_mem (c ^ n - c ^ m)⁻¹ A
rw [smul_smul, inv_mul_cancel H, one_smul]
exact hx this
#align measure_theory.measure.add_haar_submodule MeasureTheory.Measure.addHaar_submodule
theorem addHaar_affineSubspace {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[MeasurableSpace E] [BorelSpace E] [FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ]
(s : AffineSubspace ℝ E) (hs : s ≠ ⊤) : μ s = 0 := by
rcases s.eq_bot_or_nonempty with (rfl | hne)
· rw [AffineSubspace.bot_coe, measure_empty]
rw [Ne, ← AffineSubspace.direction_eq_top_iff_of_nonempty hne] at hs
rcases hne with ⟨x, hx : x ∈ s⟩
simpa only [AffineSubspace.coe_direction_eq_vsub_set_right hx, vsub_eq_sub, sub_eq_add_neg,
image_add_right, neg_neg, measure_preimage_add_right] using addHaar_submodule μ s.direction hs
#align measure_theory.measure.add_haar_affine_subspace MeasureTheory.Measure.addHaar_affineSubspace
theorem map_linearMap_addHaar_pi_eq_smul_addHaar {ι : Type*} [Finite ι] {f : (ι → ℝ) →ₗ[ℝ] ι → ℝ}
(hf : LinearMap.det f ≠ 0) (μ : Measure (ι → ℝ)) [IsAddHaarMeasure μ] :
Measure.map f μ = ENNReal.ofReal (abs (LinearMap.det f)⁻¹) • μ := by
cases nonempty_fintype ι
have := addHaarMeasure_unique μ (piIcc01 ι)
rw [this, addHaarMeasure_eq_volume_pi, Measure.map_smul,
Real.map_linearMap_volume_pi_eq_smul_volume_pi hf, smul_comm]
#align measure_theory.measure.map_linear_map_add_haar_pi_eq_smul_add_haar MeasureTheory.Measure.map_linearMap_addHaar_pi_eq_smul_addHaar
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E]
[FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F] [CompleteSpace F]
theorem map_linearMap_addHaar_eq_smul_addHaar {f : E →ₗ[ℝ] E} (hf : LinearMap.det f ≠ 0) :
Measure.map f μ = ENNReal.ofReal |(LinearMap.det f)⁻¹| • μ := by
-- we reduce to the case of `E = ι → ℝ`, for which we have already proved the result using
-- matrices in `map_linearMap_addHaar_pi_eq_smul_addHaar`.
let ι := Fin (finrank ℝ E)
haveI : FiniteDimensional ℝ (ι → ℝ) := by infer_instance
have : finrank ℝ E = finrank ℝ (ι → ℝ) := by simp [ι]
have e : E ≃ₗ[ℝ] ι → ℝ := LinearEquiv.ofFinrankEq E (ι → ℝ) this
-- next line is to avoid `g` getting reduced by `simp`.
obtain ⟨g, hg⟩ : ∃ g, g = (e : E →ₗ[ℝ] ι → ℝ).comp (f.comp (e.symm : (ι → ℝ) →ₗ[ℝ] E)) := ⟨_, rfl⟩
have gdet : LinearMap.det g = LinearMap.det f := by rw [hg]; exact LinearMap.det_conj f e
rw [← gdet] at hf ⊢
have fg : f = (e.symm : (ι → ℝ) →ₗ[ℝ] E).comp (g.comp (e : E →ₗ[ℝ] ι → ℝ)) := by
ext x
simp only [LinearEquiv.coe_coe, Function.comp_apply, LinearMap.coe_comp,
LinearEquiv.symm_apply_apply, hg]
simp only [fg, LinearEquiv.coe_coe, LinearMap.coe_comp]
have Ce : Continuous e := (e : E →ₗ[ℝ] ι → ℝ).continuous_of_finiteDimensional
have Cg : Continuous g := LinearMap.continuous_of_finiteDimensional g
have Cesymm : Continuous e.symm := (e.symm : (ι → ℝ) →ₗ[ℝ] E).continuous_of_finiteDimensional
rw [← map_map Cesymm.measurable (Cg.comp Ce).measurable, ← map_map Cg.measurable Ce.measurable]
haveI : IsAddHaarMeasure (map e μ) := (e : E ≃+ (ι → ℝ)).isAddHaarMeasure_map μ Ce Cesymm
have ecomp : e.symm ∘ e = id := by
ext x; simp only [id, Function.comp_apply, LinearEquiv.symm_apply_apply]
rw [map_linearMap_addHaar_pi_eq_smul_addHaar hf (map e μ), Measure.map_smul,
map_map Cesymm.measurable Ce.measurable, ecomp, Measure.map_id]
#align measure_theory.measure.map_linear_map_add_haar_eq_smul_add_haar MeasureTheory.Measure.map_linearMap_addHaar_eq_smul_addHaar
@[simp]
theorem addHaar_preimage_linearMap {f : E →ₗ[ℝ] E} (hf : LinearMap.det f ≠ 0) (s : Set E) :
μ (f ⁻¹' s) = ENNReal.ofReal |(LinearMap.det f)⁻¹| * μ s :=
calc
μ (f ⁻¹' s) = Measure.map f μ s :=
((f.equivOfDetNeZero hf).toContinuousLinearEquiv.toHomeomorph.toMeasurableEquiv.map_apply
s).symm
_ = ENNReal.ofReal |(LinearMap.det f)⁻¹| * μ s := by
rw [map_linearMap_addHaar_eq_smul_addHaar μ hf]; rfl
#align measure_theory.measure.add_haar_preimage_linear_map MeasureTheory.Measure.addHaar_preimage_linearMap
@[simp]
theorem addHaar_preimage_continuousLinearMap {f : E →L[ℝ] E}
(hf : LinearMap.det (f : E →ₗ[ℝ] E) ≠ 0) (s : Set E) :
μ (f ⁻¹' s) = ENNReal.ofReal (abs (LinearMap.det (f : E →ₗ[ℝ] E))⁻¹) * μ s :=
addHaar_preimage_linearMap μ hf s
#align measure_theory.measure.add_haar_preimage_continuous_linear_map MeasureTheory.Measure.addHaar_preimage_continuousLinearMap
@[simp]
| Mathlib/MeasureTheory/Measure/Lebesgue/EqHaar.lean | 295 | 299 | theorem addHaar_preimage_linearEquiv (f : E ≃ₗ[ℝ] E) (s : Set E) :
μ (f ⁻¹' s) = ENNReal.ofReal |LinearMap.det (f.symm : E →ₗ[ℝ] E)| * μ s := by |
have A : LinearMap.det (f : E →ₗ[ℝ] E) ≠ 0 := (LinearEquiv.isUnit_det' f).ne_zero
convert addHaar_preimage_linearMap μ A s
simp only [LinearEquiv.det_coe_symm]
|
import Mathlib.Algebra.Group.Defs
import Mathlib.Logic.Relation
#align_import algebra.homology.complex_shape from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
noncomputable section
open scoped Classical
@[ext]
structure ComplexShape (ι : Type*) where
Rel : ι → ι → Prop
next_eq : ∀ {i j j'}, Rel i j → Rel i j' → j = j'
prev_eq : ∀ {i i' j}, Rel i j → Rel i' j → i = i'
#align complex_shape ComplexShape
#align complex_shape.ext ComplexShape.ext
#align complex_shape.ext_iff ComplexShape.ext_iff
namespace ComplexShape
variable {ι : Type*}
@[simps]
def refl (ι : Type*) : ComplexShape ι where
Rel i j := i = j
next_eq w w' := w.symm.trans w'
prev_eq w w' := w.trans w'.symm
#align complex_shape.refl ComplexShape.refl
#align complex_shape.refl_rel ComplexShape.refl_Rel
@[simps]
def symm (c : ComplexShape ι) : ComplexShape ι where
Rel i j := c.Rel j i
next_eq w w' := c.prev_eq w w'
prev_eq w w' := c.next_eq w w'
#align complex_shape.symm ComplexShape.symm
#align complex_shape.symm_rel ComplexShape.symm_Rel
@[simp]
theorem symm_symm (c : ComplexShape ι) : c.symm.symm = c := by
ext
simp
#align complex_shape.symm_symm ComplexShape.symm_symm
theorem symm_bijective :
Function.Bijective (ComplexShape.symm : ComplexShape ι → ComplexShape ι) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
@[simp]
def trans (c₁ c₂ : ComplexShape ι) : ComplexShape ι where
Rel := Relation.Comp c₁.Rel c₂.Rel
next_eq w w' := by
obtain ⟨k, w₁, w₂⟩ := w
obtain ⟨k', w₁', w₂'⟩ := w'
rw [c₁.next_eq w₁ w₁'] at w₂
exact c₂.next_eq w₂ w₂'
prev_eq w w' := by
obtain ⟨k, w₁, w₂⟩ := w
obtain ⟨k', w₁', w₂'⟩ := w'
rw [c₂.prev_eq w₂ w₂'] at w₁
exact c₁.prev_eq w₁ w₁'
#align complex_shape.trans ComplexShape.trans
instance subsingleton_next (c : ComplexShape ι) (i : ι) : Subsingleton { j // c.Rel i j } := by
constructor
rintro ⟨j, rij⟩ ⟨k, rik⟩
congr
exact c.next_eq rij rik
instance subsingleton_prev (c : ComplexShape ι) (j : ι) : Subsingleton { i // c.Rel i j } := by
constructor
rintro ⟨i, rik⟩ ⟨j, rjk⟩
congr
exact c.prev_eq rik rjk
def next (c : ComplexShape ι) (i : ι) : ι :=
if h : ∃ j, c.Rel i j then h.choose else i
#align complex_shape.next ComplexShape.next
def prev (c : ComplexShape ι) (j : ι) : ι :=
if h : ∃ i, c.Rel i j then h.choose else j
#align complex_shape.prev ComplexShape.prev
| Mathlib/Algebra/Homology/ComplexShape.lean | 154 | 158 | theorem next_eq' (c : ComplexShape ι) {i j : ι} (h : c.Rel i j) : c.next i = j := by |
apply c.next_eq _ h
rw [next]
rw [dif_pos]
exact Exists.choose_spec ⟨j, h⟩
|
import Mathlib.MeasureTheory.Integral.Lebesgue
open Set hiding restrict restrict_apply
open Filter ENNReal NNReal MeasureTheory.Measure
namespace MeasureTheory
variable {α : Type*} {m0 : MeasurableSpace α} {μ : Measure α}
noncomputable
def Measure.withDensity {m : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : Measure α :=
Measure.ofMeasurable (fun s _ => ∫⁻ a in s, f a ∂μ) (by simp) fun s hs hd =>
lintegral_iUnion hs hd _
#align measure_theory.measure.with_density MeasureTheory.Measure.withDensity
@[simp]
theorem withDensity_apply (f : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s) :
μ.withDensity f s = ∫⁻ a in s, f a ∂μ :=
Measure.ofMeasurable_apply s hs
#align measure_theory.with_density_apply MeasureTheory.withDensity_apply
theorem withDensity_apply_le (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ a in s, f a ∂μ ≤ μ.withDensity f s := by
let t := toMeasurable (μ.withDensity f) s
calc
∫⁻ a in s, f a ∂μ ≤ ∫⁻ a in t, f a ∂μ :=
lintegral_mono_set (subset_toMeasurable (withDensity μ f) s)
_ = μ.withDensity f t :=
(withDensity_apply f (measurableSet_toMeasurable (withDensity μ f) s)).symm
_ = μ.withDensity f s := measure_toMeasurable s
theorem withDensity_apply' [SFinite μ] (f : α → ℝ≥0∞) (s : Set α) :
μ.withDensity f s = ∫⁻ a in s, f a ∂μ := by
apply le_antisymm ?_ (withDensity_apply_le f s)
let t := toMeasurable μ s
calc
μ.withDensity f s ≤ μ.withDensity f t := measure_mono (subset_toMeasurable μ s)
_ = ∫⁻ a in t, f a ∂μ := withDensity_apply f (measurableSet_toMeasurable μ s)
_ = ∫⁻ a in s, f a ∂μ := by congr 1; exact restrict_toMeasurable_of_sFinite s
@[simp]
lemma withDensity_zero_left (f : α → ℝ≥0∞) : (0 : Measure α).withDensity f = 0 := by
ext s hs
rw [withDensity_apply _ hs]
simp
theorem withDensity_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) :
μ.withDensity f = μ.withDensity g := by
refine Measure.ext fun s hs => ?_
rw [withDensity_apply _ hs, withDensity_apply _ hs]
exact lintegral_congr_ae (ae_restrict_of_ae h)
#align measure_theory.with_density_congr_ae MeasureTheory.withDensity_congr_ae
lemma withDensity_mono {f g : α → ℝ≥0∞} (hfg : f ≤ᵐ[μ] g) :
μ.withDensity f ≤ μ.withDensity g := by
refine le_iff.2 fun s hs ↦ ?_
rw [withDensity_apply _ hs, withDensity_apply _ hs]
refine set_lintegral_mono_ae' hs ?_
filter_upwards [hfg] with x h_le using fun _ ↦ h_le
theorem withDensity_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) :
μ.withDensity (f + g) = μ.withDensity f + μ.withDensity g := by
refine Measure.ext fun s hs => ?_
rw [withDensity_apply _ hs, Measure.add_apply, withDensity_apply _ hs, withDensity_apply _ hs,
← lintegral_add_left hf]
simp only [Pi.add_apply]
#align measure_theory.with_density_add_left MeasureTheory.withDensity_add_left
theorem withDensity_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) :
μ.withDensity (f + g) = μ.withDensity f + μ.withDensity g := by
simpa only [add_comm] using withDensity_add_left hg f
#align measure_theory.with_density_add_right MeasureTheory.withDensity_add_right
theorem withDensity_add_measure {m : MeasurableSpace α} (μ ν : Measure α) (f : α → ℝ≥0∞) :
(μ + ν).withDensity f = μ.withDensity f + ν.withDensity f := by
ext1 s hs
simp only [withDensity_apply f hs, restrict_add, lintegral_add_measure, Measure.add_apply]
#align measure_theory.with_density_add_measure MeasureTheory.withDensity_add_measure
theorem withDensity_sum {ι : Type*} {m : MeasurableSpace α} (μ : ι → Measure α) (f : α → ℝ≥0∞) :
(sum μ).withDensity f = sum fun n => (μ n).withDensity f := by
ext1 s hs
simp_rw [sum_apply _ hs, withDensity_apply f hs, restrict_sum μ hs, lintegral_sum_measure]
#align measure_theory.with_density_sum MeasureTheory.withDensity_sum
theorem withDensity_smul (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) :
μ.withDensity (r • f) = r • μ.withDensity f := by
refine Measure.ext fun s hs => ?_
rw [withDensity_apply _ hs, Measure.coe_smul, Pi.smul_apply, withDensity_apply _ hs,
smul_eq_mul, ← lintegral_const_mul r hf]
simp only [Pi.smul_apply, smul_eq_mul]
#align measure_theory.with_density_smul MeasureTheory.withDensity_smul
theorem withDensity_smul' (r : ℝ≥0∞) (f : α → ℝ≥0∞) (hr : r ≠ ∞) :
μ.withDensity (r • f) = r • μ.withDensity f := by
refine Measure.ext fun s hs => ?_
rw [withDensity_apply _ hs, Measure.coe_smul, Pi.smul_apply, withDensity_apply _ hs,
smul_eq_mul, ← lintegral_const_mul' r f hr]
simp only [Pi.smul_apply, smul_eq_mul]
#align measure_theory.with_density_smul' MeasureTheory.withDensity_smul'
theorem withDensity_smul_measure (r : ℝ≥0∞) (f : α → ℝ≥0∞) :
(r • μ).withDensity f = r • μ.withDensity f := by
ext s hs
rw [withDensity_apply _ hs, Measure.coe_smul, Pi.smul_apply, withDensity_apply _ hs,
smul_eq_mul, set_lintegral_smul_measure]
theorem isFiniteMeasure_withDensity {f : α → ℝ≥0∞} (hf : ∫⁻ a, f a ∂μ ≠ ∞) :
IsFiniteMeasure (μ.withDensity f) :=
{ measure_univ_lt_top := by
rwa [withDensity_apply _ MeasurableSet.univ, Measure.restrict_univ, lt_top_iff_ne_top] }
#align measure_theory.is_finite_measure_with_density MeasureTheory.isFiniteMeasure_withDensity
theorem withDensity_absolutelyContinuous {m : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) :
μ.withDensity f ≪ μ := by
refine AbsolutelyContinuous.mk fun s hs₁ hs₂ => ?_
rw [withDensity_apply _ hs₁]
exact set_lintegral_measure_zero _ _ hs₂
#align measure_theory.with_density_absolutely_continuous MeasureTheory.withDensity_absolutelyContinuous
@[simp]
theorem withDensity_zero : μ.withDensity 0 = 0 := by
ext1 s hs
simp [withDensity_apply _ hs]
#align measure_theory.with_density_zero MeasureTheory.withDensity_zero
@[simp]
theorem withDensity_one : μ.withDensity 1 = μ := by
ext1 s hs
simp [withDensity_apply _ hs]
#align measure_theory.with_density_one MeasureTheory.withDensity_one
@[simp]
theorem withDensity_const (c : ℝ≥0∞) : μ.withDensity (fun _ ↦ c) = c • μ := by
ext1 s hs
simp [withDensity_apply _ hs]
theorem withDensity_tsum {f : ℕ → α → ℝ≥0∞} (h : ∀ i, Measurable (f i)) :
μ.withDensity (∑' n, f n) = sum fun n => μ.withDensity (f n) := by
ext1 s hs
simp_rw [sum_apply _ hs, withDensity_apply _ hs]
change ∫⁻ x in s, (∑' n, f n) x ∂μ = ∑' i : ℕ, ∫⁻ x, f i x ∂μ.restrict s
rw [← lintegral_tsum fun i => (h i).aemeasurable]
exact lintegral_congr fun x => tsum_apply (Pi.summable.2 fun _ => ENNReal.summable)
#align measure_theory.with_density_tsum MeasureTheory.withDensity_tsum
theorem withDensity_indicator {s : Set α} (hs : MeasurableSet s) (f : α → ℝ≥0∞) :
μ.withDensity (s.indicator f) = (μ.restrict s).withDensity f := by
ext1 t ht
rw [withDensity_apply _ ht, lintegral_indicator _ hs, restrict_comm hs, ←
withDensity_apply _ ht]
#align measure_theory.with_density_indicator MeasureTheory.withDensity_indicator
theorem withDensity_indicator_one {s : Set α} (hs : MeasurableSet s) :
μ.withDensity (s.indicator 1) = μ.restrict s := by
rw [withDensity_indicator hs, withDensity_one]
#align measure_theory.with_density_indicator_one MeasureTheory.withDensity_indicator_one
theorem withDensity_ofReal_mutuallySingular {f : α → ℝ} (hf : Measurable f) :
(μ.withDensity fun x => ENNReal.ofReal <| f x) ⟂ₘ
μ.withDensity fun x => ENNReal.ofReal <| -f x := by
set S : Set α := { x | f x < 0 }
have hS : MeasurableSet S := measurableSet_lt hf measurable_const
refine ⟨S, hS, ?_, ?_⟩
· rw [withDensity_apply _ hS, lintegral_eq_zero_iff hf.ennreal_ofReal, EventuallyEq]
exact (ae_restrict_mem hS).mono fun x hx => ENNReal.ofReal_eq_zero.2 (le_of_lt hx)
· rw [withDensity_apply _ hS.compl, lintegral_eq_zero_iff hf.neg.ennreal_ofReal, EventuallyEq]
exact
(ae_restrict_mem hS.compl).mono fun x hx =>
ENNReal.ofReal_eq_zero.2 (not_lt.1 <| mt neg_pos.1 hx)
#align measure_theory.with_density_of_real_mutually_singular MeasureTheory.withDensity_ofReal_mutuallySingular
theorem restrict_withDensity {s : Set α} (hs : MeasurableSet s) (f : α → ℝ≥0∞) :
(μ.withDensity f).restrict s = (μ.restrict s).withDensity f := by
ext1 t ht
rw [restrict_apply ht, withDensity_apply _ ht, withDensity_apply _ (ht.inter hs),
restrict_restrict ht]
#align measure_theory.restrict_with_density MeasureTheory.restrict_withDensity
theorem restrict_withDensity' [SFinite μ] (s : Set α) (f : α → ℝ≥0∞) :
(μ.withDensity f).restrict s = (μ.restrict s).withDensity f := by
ext1 t ht
rw [restrict_apply ht, withDensity_apply _ ht, withDensity_apply' _ (t ∩ s),
restrict_restrict ht]
lemma trim_withDensity {m m0 : MeasurableSpace α} {μ : Measure α}
(hm : m ≤ m0) {f : α → ℝ≥0∞} (hf : Measurable[m] f) :
(μ.withDensity f).trim hm = (μ.trim hm).withDensity f := by
refine @Measure.ext _ m _ _ (fun s hs ↦ ?_)
rw [withDensity_apply _ hs, restrict_trim _ _ hs, lintegral_trim _ hf, trim_measurableSet_eq _ hs,
withDensity_apply _ (hm s hs)]
lemma Measure.MutuallySingular.withDensity {ν : Measure α} {f : α → ℝ≥0∞} (h : μ ⟂ₘ ν) :
μ.withDensity f ⟂ₘ ν :=
MutuallySingular.mono_ac h (withDensity_absolutelyContinuous _ _) AbsolutelyContinuous.rfl
theorem withDensity_eq_zero {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (h : μ.withDensity f = 0) :
f =ᵐ[μ] 0 := by
rw [← lintegral_eq_zero_iff' hf, ← set_lintegral_univ, ← withDensity_apply _ MeasurableSet.univ,
h, Measure.coe_zero, Pi.zero_apply]
#align measure_theory.with_density_eq_zero MeasureTheory.withDensity_eq_zero
@[simp]
theorem withDensity_eq_zero_iff {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
μ.withDensity f = 0 ↔ f =ᵐ[μ] 0 :=
⟨withDensity_eq_zero hf, fun h => withDensity_zero (μ := μ) ▸ withDensity_congr_ae h⟩
theorem withDensity_apply_eq_zero' {f : α → ℝ≥0∞} {s : Set α} (hf : AEMeasurable f μ) :
μ.withDensity f s = 0 ↔ μ ({ x | f x ≠ 0 } ∩ s) = 0 := by
constructor
· intro hs
let t := toMeasurable (μ.withDensity f) s
apply measure_mono_null (inter_subset_inter_right _ (subset_toMeasurable (μ.withDensity f) s))
have A : μ.withDensity f t = 0 := by rw [measure_toMeasurable, hs]
rw [withDensity_apply f (measurableSet_toMeasurable _ s),
lintegral_eq_zero_iff' (AEMeasurable.restrict hf),
EventuallyEq, ae_restrict_iff'₀, ae_iff] at A
swap
· simp only [measurableSet_toMeasurable, MeasurableSet.nullMeasurableSet]
simp only [Pi.zero_apply, mem_setOf_eq, Filter.mem_mk] at A
convert A using 2
ext x
simp only [and_comm, exists_prop, mem_inter_iff, iff_self_iff, mem_setOf_eq,
mem_compl_iff, not_forall]
· intro hs
let t := toMeasurable μ ({ x | f x ≠ 0 } ∩ s)
have A : s ⊆ t ∪ { x | f x = 0 } := by
intro x hx
rcases eq_or_ne (f x) 0 with (fx | fx)
· simp only [fx, mem_union, mem_setOf_eq, eq_self_iff_true, or_true_iff]
· left
apply subset_toMeasurable _ _
exact ⟨fx, hx⟩
apply measure_mono_null A (measure_union_null _ _)
· apply withDensity_absolutelyContinuous
rwa [measure_toMeasurable]
rcases hf with ⟨g, hg, hfg⟩
have t : {x | f x = 0} =ᵐ[μ.withDensity f] {x | g x = 0} := by
apply withDensity_absolutelyContinuous
filter_upwards [hfg] with a ha
rw [eq_iff_iff]
exact ⟨fun h ↦ by rw [h] at ha; exact ha.symm,
fun h ↦ by rw [h] at ha; exact ha⟩
rw [measure_congr t, withDensity_congr_ae hfg]
have M : MeasurableSet { x : α | g x = 0 } := hg (measurableSet_singleton _)
rw [withDensity_apply _ M, lintegral_eq_zero_iff hg]
filter_upwards [ae_restrict_mem M]
simp only [imp_self, Pi.zero_apply, imp_true_iff]
theorem withDensity_apply_eq_zero {f : α → ℝ≥0∞} {s : Set α} (hf : Measurable f) :
μ.withDensity f s = 0 ↔ μ ({ x | f x ≠ 0 } ∩ s) = 0 :=
withDensity_apply_eq_zero' <| hf.aemeasurable
#align measure_theory.with_density_apply_eq_zero MeasureTheory.withDensity_apply_eq_zero
theorem ae_withDensity_iff' {p : α → Prop} {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
(∀ᵐ x ∂μ.withDensity f, p x) ↔ ∀ᵐ x ∂μ, f x ≠ 0 → p x := by
rw [ae_iff, ae_iff, withDensity_apply_eq_zero' hf, iff_iff_eq]
congr
ext x
simp only [exists_prop, mem_inter_iff, iff_self_iff, mem_setOf_eq, not_forall]
theorem ae_withDensity_iff {p : α → Prop} {f : α → ℝ≥0∞} (hf : Measurable f) :
(∀ᵐ x ∂μ.withDensity f, p x) ↔ ∀ᵐ x ∂μ, f x ≠ 0 → p x :=
ae_withDensity_iff' <| hf.aemeasurable
#align measure_theory.ae_with_density_iff MeasureTheory.ae_withDensity_iff
theorem ae_withDensity_iff_ae_restrict' {p : α → Prop} {f : α → ℝ≥0∞}
(hf : AEMeasurable f μ) :
(∀ᵐ x ∂μ.withDensity f, p x) ↔ ∀ᵐ x ∂μ.restrict { x | f x ≠ 0 }, p x := by
rw [ae_withDensity_iff' hf, ae_restrict_iff'₀]
· simp only [mem_setOf]
· rcases hf with ⟨g, hg, hfg⟩
have nonneg_eq_ae : {x | g x ≠ 0} =ᵐ[μ] {x | f x ≠ 0} := by
filter_upwards [hfg] with a ha
simp only [eq_iff_iff]
exact ⟨fun (h : g a ≠ 0) ↦ by rwa [← ha] at h,
fun (h : f a ≠ 0) ↦ by rwa [ha] at h⟩
exact NullMeasurableSet.congr
(MeasurableSet.nullMeasurableSet
<| hg (measurableSet_singleton _)).compl
nonneg_eq_ae
theorem ae_withDensity_iff_ae_restrict {p : α → Prop} {f : α → ℝ≥0∞} (hf : Measurable f) :
(∀ᵐ x ∂μ.withDensity f, p x) ↔ ∀ᵐ x ∂μ.restrict { x | f x ≠ 0 }, p x :=
ae_withDensity_iff_ae_restrict' <| hf.aemeasurable
#align measure_theory.ae_with_density_iff_ae_restrict MeasureTheory.ae_withDensity_iff_ae_restrict
theorem aemeasurable_withDensity_ennreal_iff' {f : α → ℝ≥0}
(hf : AEMeasurable f μ) {g : α → ℝ≥0∞} :
AEMeasurable g (μ.withDensity fun x => (f x : ℝ≥0∞)) ↔
AEMeasurable (fun x => (f x : ℝ≥0∞) * g x) μ := by
have t : ∃ f', Measurable f' ∧ f =ᵐ[μ] f' := hf
rcases t with ⟨f', hf'_m, hf'_ae⟩
constructor
· rintro ⟨g', g'meas, hg'⟩
have A : MeasurableSet {x | f' x ≠ 0} := hf'_m (measurableSet_singleton _).compl
refine ⟨fun x => f' x * g' x, hf'_m.coe_nnreal_ennreal.smul g'meas, ?_⟩
apply ae_of_ae_restrict_of_ae_restrict_compl { x | f' x ≠ 0 }
· rw [EventuallyEq, ae_withDensity_iff' hf.coe_nnreal_ennreal] at hg'
rw [ae_restrict_iff' A]
filter_upwards [hg', hf'_ae] with a ha h'a h_a_nonneg
have : (f' a : ℝ≥0∞) ≠ 0 := by simpa only [Ne, ENNReal.coe_eq_zero] using h_a_nonneg
rw [← h'a] at this ⊢
rw [ha this]
· rw [ae_restrict_iff' A.compl]
filter_upwards [hf'_ae] with a ha ha_null
have ha_null : f' a = 0 := Function.nmem_support.mp ha_null
rw [ha_null] at ha ⊢
rw [ha]
simp only [ENNReal.coe_zero, zero_mul]
· rintro ⟨g', g'meas, hg'⟩
refine ⟨fun x => ((f' x)⁻¹ : ℝ≥0∞) * g' x, hf'_m.coe_nnreal_ennreal.inv.smul g'meas, ?_⟩
rw [EventuallyEq, ae_withDensity_iff' hf.coe_nnreal_ennreal]
filter_upwards [hg', hf'_ae] with a hfga hff'a h'a
rw [hff'a] at hfga h'a
rw [← hfga, ← mul_assoc, ENNReal.inv_mul_cancel h'a ENNReal.coe_ne_top, one_mul]
theorem aemeasurable_withDensity_ennreal_iff {f : α → ℝ≥0} (hf : Measurable f) {g : α → ℝ≥0∞} :
AEMeasurable g (μ.withDensity fun x => (f x : ℝ≥0∞)) ↔
AEMeasurable (fun x => (f x : ℝ≥0∞) * g x) μ :=
aemeasurable_withDensity_ennreal_iff' <| hf.aemeasurable
#align measure_theory.ae_measurable_with_density_ennreal_iff MeasureTheory.aemeasurable_withDensity_ennreal_iff
open MeasureTheory.SimpleFunc
theorem lintegral_withDensity_eq_lintegral_mul (μ : Measure α) {f : α → ℝ≥0∞}
(h_mf : Measurable f) :
∀ {g : α → ℝ≥0∞}, Measurable g → ∫⁻ a, g a ∂μ.withDensity f = ∫⁻ a, (f * g) a ∂μ := by
apply Measurable.ennreal_induction
· intro c s h_ms
simp [*, mul_comm _ c, ← indicator_mul_right]
· intro g h _ h_mea_g _ h_ind_g h_ind_h
simp [mul_add, *, Measurable.mul]
· intro g h_mea_g h_mono_g h_ind
have : Monotone fun n a => f a * g n a := fun m n hmn x => mul_le_mul_left' (h_mono_g hmn x) _
simp [lintegral_iSup, ENNReal.mul_iSup, h_mf.mul (h_mea_g _), *]
#align measure_theory.lintegral_with_density_eq_lintegral_mul MeasureTheory.lintegral_withDensity_eq_lintegral_mul
theorem set_lintegral_withDensity_eq_set_lintegral_mul (μ : Measure α) {f g : α → ℝ≥0∞}
(hf : Measurable f) (hg : Measurable g) {s : Set α} (hs : MeasurableSet s) :
∫⁻ x in s, g x ∂μ.withDensity f = ∫⁻ x in s, (f * g) x ∂μ := by
rw [restrict_withDensity hs, lintegral_withDensity_eq_lintegral_mul _ hf hg]
#align measure_theory.set_lintegral_with_density_eq_set_lintegral_mul MeasureTheory.set_lintegral_withDensity_eq_set_lintegral_mul
theorem lintegral_withDensity_eq_lintegral_mul₀' {μ : Measure α} {f : α → ℝ≥0∞}
(hf : AEMeasurable f μ) {g : α → ℝ≥0∞} (hg : AEMeasurable g (μ.withDensity f)) :
∫⁻ a, g a ∂μ.withDensity f = ∫⁻ a, (f * g) a ∂μ := by
let f' := hf.mk f
have : μ.withDensity f = μ.withDensity f' := withDensity_congr_ae hf.ae_eq_mk
rw [this] at hg ⊢
let g' := hg.mk g
calc
∫⁻ a, g a ∂μ.withDensity f' = ∫⁻ a, g' a ∂μ.withDensity f' := lintegral_congr_ae hg.ae_eq_mk
_ = ∫⁻ a, (f' * g') a ∂μ :=
(lintegral_withDensity_eq_lintegral_mul _ hf.measurable_mk hg.measurable_mk)
_ = ∫⁻ a, (f' * g) a ∂μ := by
apply lintegral_congr_ae
apply ae_of_ae_restrict_of_ae_restrict_compl { x | f' x ≠ 0 }
· have Z := hg.ae_eq_mk
rw [EventuallyEq, ae_withDensity_iff_ae_restrict hf.measurable_mk] at Z
filter_upwards [Z]
intro x hx
simp only [hx, Pi.mul_apply]
· have M : MeasurableSet { x : α | f' x ≠ 0 }ᶜ :=
(hf.measurable_mk (measurableSet_singleton 0).compl).compl
filter_upwards [ae_restrict_mem M]
intro x hx
simp only [Classical.not_not, mem_setOf_eq, mem_compl_iff] at hx
simp only [hx, zero_mul, Pi.mul_apply]
_ = ∫⁻ a : α, (f * g) a ∂μ := by
apply lintegral_congr_ae
filter_upwards [hf.ae_eq_mk]
intro x hx
simp only [hx, Pi.mul_apply]
#align measure_theory.lintegral_with_density_eq_lintegral_mul₀' MeasureTheory.lintegral_withDensity_eq_lintegral_mul₀'
lemma set_lintegral_withDensity_eq_lintegral_mul₀' {μ : Measure α} {f : α → ℝ≥0∞}
(hf : AEMeasurable f μ) {g : α → ℝ≥0∞} (hg : AEMeasurable g (μ.withDensity f))
{s : Set α} (hs : MeasurableSet s) :
∫⁻ a in s, g a ∂μ.withDensity f = ∫⁻ a in s, (f * g) a ∂μ := by
rw [restrict_withDensity hs, lintegral_withDensity_eq_lintegral_mul₀' hf.restrict]
rw [← restrict_withDensity hs]
exact hg.restrict
theorem lintegral_withDensity_eq_lintegral_mul₀ {μ : Measure α} {f : α → ℝ≥0∞}
(hf : AEMeasurable f μ) {g : α → ℝ≥0∞} (hg : AEMeasurable g μ) :
∫⁻ a, g a ∂μ.withDensity f = ∫⁻ a, (f * g) a ∂μ :=
lintegral_withDensity_eq_lintegral_mul₀' hf (hg.mono' (withDensity_absolutelyContinuous μ f))
#align measure_theory.lintegral_with_density_eq_lintegral_mul₀ MeasureTheory.lintegral_withDensity_eq_lintegral_mul₀
lemma set_lintegral_withDensity_eq_lintegral_mul₀ {μ : Measure α} {f : α → ℝ≥0∞}
(hf : AEMeasurable f μ) {g : α → ℝ≥0∞} (hg : AEMeasurable g μ)
{s : Set α} (hs : MeasurableSet s) :
∫⁻ a in s, g a ∂μ.withDensity f = ∫⁻ a in s, (f * g) a ∂μ :=
set_lintegral_withDensity_eq_lintegral_mul₀' hf
(hg.mono' (MeasureTheory.withDensity_absolutelyContinuous μ f)) hs
theorem lintegral_withDensity_le_lintegral_mul (μ : Measure α) {f : α → ℝ≥0∞}
(f_meas : Measurable f) (g : α → ℝ≥0∞) : (∫⁻ a, g a ∂μ.withDensity f) ≤ ∫⁻ a, (f * g) a ∂μ := by
rw [← iSup_lintegral_measurable_le_eq_lintegral, ← iSup_lintegral_measurable_le_eq_lintegral]
refine iSup₂_le fun i i_meas => iSup_le fun hi => ?_
have A : f * i ≤ f * g := fun x => mul_le_mul_left' (hi x) _
refine le_iSup₂_of_le (f * i) (f_meas.mul i_meas) ?_
exact le_iSup_of_le A (le_of_eq (lintegral_withDensity_eq_lintegral_mul _ f_meas i_meas))
#align measure_theory.lintegral_with_density_le_lintegral_mul MeasureTheory.lintegral_withDensity_le_lintegral_mul
theorem lintegral_withDensity_eq_lintegral_mul_non_measurable (μ : Measure α) {f : α → ℝ≥0∞}
(f_meas : Measurable f) (hf : ∀ᵐ x ∂μ, f x < ∞) (g : α → ℝ≥0∞) :
∫⁻ a, g a ∂μ.withDensity f = ∫⁻ a, (f * g) a ∂μ := by
refine le_antisymm (lintegral_withDensity_le_lintegral_mul μ f_meas g) ?_
rw [← iSup_lintegral_measurable_le_eq_lintegral, ← iSup_lintegral_measurable_le_eq_lintegral]
refine iSup₂_le fun i i_meas => iSup_le fun hi => ?_
have A : (fun x => (f x)⁻¹ * i x) ≤ g := by
intro x
dsimp
rw [mul_comm, ← div_eq_mul_inv]
exact div_le_of_le_mul' (hi x)
refine le_iSup_of_le (fun x => (f x)⁻¹ * i x) (le_iSup_of_le (f_meas.inv.mul i_meas) ?_)
refine le_iSup_of_le A ?_
rw [lintegral_withDensity_eq_lintegral_mul _ f_meas (f_meas.inv.mul i_meas)]
apply lintegral_mono_ae
filter_upwards [hf]
intro x h'x
rcases eq_or_ne (f x) 0 with (hx | hx)
· have := hi x
simp only [hx, zero_mul, Pi.mul_apply, nonpos_iff_eq_zero] at this
simp [this]
· apply le_of_eq _
dsimp
rw [← mul_assoc, ENNReal.mul_inv_cancel hx h'x.ne, one_mul]
#align measure_theory.lintegral_with_density_eq_lintegral_mul_non_measurable MeasureTheory.lintegral_withDensity_eq_lintegral_mul_non_measurable
theorem set_lintegral_withDensity_eq_set_lintegral_mul_non_measurable (μ : Measure α) {f : α → ℝ≥0∞}
(f_meas : Measurable f) (g : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s)
(hf : ∀ᵐ x ∂μ.restrict s, f x < ∞) :
∫⁻ a in s, g a ∂μ.withDensity f = ∫⁻ a in s, (f * g) a ∂μ := by
rw [restrict_withDensity hs, lintegral_withDensity_eq_lintegral_mul_non_measurable _ f_meas hf]
#align measure_theory.set_lintegral_with_density_eq_set_lintegral_mul_non_measurable MeasureTheory.set_lintegral_withDensity_eq_set_lintegral_mul_non_measurable
| Mathlib/MeasureTheory/Measure/WithDensity.lean | 489 | 505 | theorem lintegral_withDensity_eq_lintegral_mul_non_measurable₀ (μ : Measure α) {f : α → ℝ≥0∞}
(hf : AEMeasurable f μ) (h'f : ∀ᵐ x ∂μ, f x < ∞) (g : α → ℝ≥0∞) :
∫⁻ a, g a ∂μ.withDensity f = ∫⁻ a, (f * g) a ∂μ := by |
let f' := hf.mk f
calc
∫⁻ a, g a ∂μ.withDensity f = ∫⁻ a, g a ∂μ.withDensity f' := by
rw [withDensity_congr_ae hf.ae_eq_mk]
_ = ∫⁻ a, (f' * g) a ∂μ := by
apply lintegral_withDensity_eq_lintegral_mul_non_measurable _ hf.measurable_mk
filter_upwards [h'f, hf.ae_eq_mk]
intro x hx h'x
rwa [← h'x]
_ = ∫⁻ a, (f * g) a ∂μ := by
apply lintegral_congr_ae
filter_upwards [hf.ae_eq_mk]
intro x hx
simp only [hx, Pi.mul_apply]
|
import Mathlib.Geometry.RingedSpace.PresheafedSpace.Gluing
import Mathlib.AlgebraicGeometry.OpenImmersion
#align_import algebraic_geometry.gluing from "leanprover-community/mathlib"@"533f62f4dd62a5aad24a04326e6e787c8f7e98b1"
set_option linter.uppercaseLean3 false
noncomputable section
universe u
open TopologicalSpace CategoryTheory Opposite
open CategoryTheory.Limits AlgebraicGeometry.PresheafedSpace
open CategoryTheory.GlueData
namespace AlgebraicGeometry
namespace Scheme
-- Porting note(#5171): @[nolint has_nonempty_instance]; linter not ported yet
structure GlueData extends CategoryTheory.GlueData Scheme where
f_open : ∀ i j, IsOpenImmersion (f i j)
#align algebraic_geometry.Scheme.glue_data AlgebraicGeometry.Scheme.GlueData
attribute [instance] GlueData.f_open
namespace OpenCover
variable {X : Scheme.{u}} (𝒰 : OpenCover.{u} X)
def gluedCoverT' (x y z : 𝒰.J) :
pullback (pullback.fst : pullback (𝒰.map x) (𝒰.map y) ⟶ _)
(pullback.fst : pullback (𝒰.map x) (𝒰.map z) ⟶ _) ⟶
pullback (pullback.fst : pullback (𝒰.map y) (𝒰.map z) ⟶ _)
(pullback.fst : pullback (𝒰.map y) (𝒰.map x) ⟶ _) := by
refine (pullbackRightPullbackFstIso _ _ _).hom ≫ ?_
refine ?_ ≫ (pullbackSymmetry _ _).hom
refine ?_ ≫ (pullbackRightPullbackFstIso _ _ _).inv
refine pullback.map _ _ _ _ (pullbackSymmetry _ _).hom (𝟙 _) (𝟙 _) ?_ ?_
· simp [pullback.condition]
· simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t' AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'
@[simp, reassoc]
theorem gluedCoverT'_fst_fst (x y z : 𝒰.J) :
𝒰.gluedCoverT' x y z ≫ pullback.fst ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
delta gluedCoverT'; simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t'_fst_fst AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'_fst_fst
@[simp, reassoc]
theorem gluedCoverT'_fst_snd (x y z : 𝒰.J) :
gluedCoverT' 𝒰 x y z ≫ pullback.fst ≫ pullback.snd = pullback.snd ≫ pullback.snd := by
delta gluedCoverT'; simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t'_fst_snd AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'_fst_snd
@[simp, reassoc]
theorem gluedCoverT'_snd_fst (x y z : 𝒰.J) :
gluedCoverT' 𝒰 x y z ≫ pullback.snd ≫ pullback.fst = pullback.fst ≫ pullback.snd := by
delta gluedCoverT'; simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t'_snd_fst AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'_snd_fst
@[simp, reassoc]
theorem gluedCoverT'_snd_snd (x y z : 𝒰.J) :
gluedCoverT' 𝒰 x y z ≫ pullback.snd ≫ pullback.snd = pullback.fst ≫ pullback.fst := by
delta gluedCoverT'; simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_t'_snd_snd AlgebraicGeometry.Scheme.OpenCover.gluedCoverT'_snd_snd
theorem glued_cover_cocycle_fst (x y z : 𝒰.J) :
gluedCoverT' 𝒰 x y z ≫ gluedCoverT' 𝒰 y z x ≫ gluedCoverT' 𝒰 z x y ≫ pullback.fst =
pullback.fst := by
apply pullback.hom_ext <;> simp
#align algebraic_geometry.Scheme.open_cover.glued_cover_cocycle_fst AlgebraicGeometry.Scheme.OpenCover.glued_cover_cocycle_fst
| Mathlib/AlgebraicGeometry/Gluing.lean | 325 | 328 | theorem glued_cover_cocycle_snd (x y z : 𝒰.J) :
gluedCoverT' 𝒰 x y z ≫ gluedCoverT' 𝒰 y z x ≫ gluedCoverT' 𝒰 z x y ≫ pullback.snd =
pullback.snd := by |
apply pullback.hom_ext <;> simp [pullback.condition]
|
import Mathlib.Algebra.ModEq
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Algebra.Periodic
import Mathlib.Data.Int.SuccPred
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.Order.Circular
import Mathlib.Data.List.TFAE
import Mathlib.Data.Set.Lattice
#align_import algebra.order.to_interval_mod from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
noncomputable section
section LinearOrderedAddCommGroup
variable {α : Type*} [LinearOrderedAddCommGroup α] [hα : Archimedean α] {p : α} (hp : 0 < p)
{a b c : α} {n : ℤ}
def toIcoDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose
#align to_Ico_div toIcoDiv
theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1
#align sub_to_Ico_div_zsmul_mem_Ico sub_toIcoDiv_zsmul_mem_Ico
theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) :
toIcoDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm
#align to_Ico_div_eq_of_sub_zsmul_mem_Ico toIcoDiv_eq_of_sub_zsmul_mem_Ico
def toIocDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose
#align to_Ioc_div toIocDiv
theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1
#align sub_to_Ioc_div_zsmul_mem_Ioc sub_toIocDiv_zsmul_mem_Ioc
theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) :
toIocDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm
#align to_Ioc_div_eq_of_sub_zsmul_mem_Ioc toIocDiv_eq_of_sub_zsmul_mem_Ioc
def toIcoMod (a b : α) : α :=
b - toIcoDiv hp a b • p
#align to_Ico_mod toIcoMod
def toIocMod (a b : α) : α :=
b - toIocDiv hp a b • p
#align to_Ioc_mod toIocMod
theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) :=
sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_mod_mem_Ico toIcoMod_mem_Ico
theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by
convert toIcoMod_mem_Ico hp 0 b
exact (zero_add p).symm
#align to_Ico_mod_mem_Ico' toIcoMod_mem_Ico'
theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) :=
sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_mod_mem_Ioc toIocMod_mem_Ioc
theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1
#align left_le_to_Ico_mod left_le_toIcoMod
theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1
#align left_lt_to_Ioc_mod left_lt_toIocMod
theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2
#align to_Ico_mod_lt_right toIcoMod_lt_right
theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2
#align to_Ioc_mod_le_right toIocMod_le_right
@[simp]
theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b :=
rfl
#align self_sub_to_Ico_div_zsmul self_sub_toIcoDiv_zsmul
@[simp]
theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b :=
rfl
#align self_sub_to_Ioc_div_zsmul self_sub_toIocDiv_zsmul
@[simp]
theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by
rw [toIcoMod, neg_sub]
#align to_Ico_div_zsmul_sub_self toIcoDiv_zsmul_sub_self
@[simp]
theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by
rw [toIocMod, neg_sub]
#align to_Ioc_div_zsmul_sub_self toIocDiv_zsmul_sub_self
@[simp]
theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel_left, neg_smul]
#align to_Ico_mod_sub_self toIcoMod_sub_self
@[simp]
theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel_left, neg_smul]
#align to_Ioc_mod_sub_self toIocMod_sub_self
@[simp]
theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel]
#align self_sub_to_Ico_mod self_sub_toIcoMod
@[simp]
theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel]
#align self_sub_to_Ioc_mod self_sub_toIocMod
@[simp]
theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by
rw [toIcoMod, sub_add_cancel]
#align to_Ico_mod_add_to_Ico_div_zsmul toIcoMod_add_toIcoDiv_zsmul
@[simp]
theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by
rw [toIocMod, sub_add_cancel]
#align to_Ioc_mod_add_to_Ioc_div_zsmul toIocMod_add_toIocDiv_zsmul
@[simp]
theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by
rw [add_comm, toIcoMod_add_toIcoDiv_zsmul]
#align to_Ico_div_zsmul_sub_to_Ico_mod toIcoDiv_zsmul_sub_toIcoMod
@[simp]
theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by
rw [add_comm, toIocMod_add_toIocDiv_zsmul]
#align to_Ioc_div_zsmul_sub_to_Ioc_mod toIocDiv_zsmul_sub_toIocMod
theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod]
#align to_Ico_mod_eq_iff toIcoMod_eq_iff
theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod]
#align to_Ioc_mod_eq_iff toIocMod_eq_iff
@[simp]
theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
#align to_Ico_div_apply_left toIcoDiv_apply_left
@[simp]
theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
#align to_Ioc_div_apply_left toIocDiv_apply_left
@[simp]
theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
#align to_Ico_mod_apply_left toIcoMod_apply_left
@[simp]
theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩
#align to_Ioc_mod_apply_left toIocMod_apply_left
theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
#align to_Ico_div_apply_right toIcoDiv_apply_right
theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
#align to_Ioc_div_apply_right toIocDiv_apply_right
theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩
#align to_Ico_mod_apply_right toIcoMod_apply_right
theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
#align to_Ioc_mod_apply_right toIocMod_apply_right
@[simp]
theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_div_add_zsmul toIcoDiv_add_zsmul
@[simp]
theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by
refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_div_add_zsmul' toIcoDiv_add_zsmul'
@[simp]
theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_div_add_zsmul toIocDiv_add_zsmul
@[simp]
theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by
refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_div_add_zsmul' toIocDiv_add_zsmul'
@[simp]
theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by
rw [add_comm, toIcoDiv_add_zsmul, add_comm]
#align to_Ico_div_zsmul_add toIcoDiv_zsmul_add
@[simp]
theorem toIocDiv_zsmul_add (a b : α) (m : ℤ) : toIocDiv hp a (m • p + b) = m + toIocDiv hp a b := by
rw [add_comm, toIocDiv_add_zsmul, add_comm]
#align to_Ioc_div_zsmul_add toIocDiv_zsmul_add
@[simp]
theorem toIcoDiv_sub_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b - m • p) = toIcoDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul, sub_eq_add_neg]
#align to_Ico_div_sub_zsmul toIcoDiv_sub_zsmul
@[simp]
theorem toIcoDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a - m • p) b = toIcoDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIcoDiv_add_zsmul', sub_neg_eq_add]
#align to_Ico_div_sub_zsmul' toIcoDiv_sub_zsmul'
@[simp]
theorem toIocDiv_sub_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b - m • p) = toIocDiv hp a b - m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul, sub_eq_add_neg]
#align to_Ioc_div_sub_zsmul toIocDiv_sub_zsmul
@[simp]
theorem toIocDiv_sub_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a - m • p) b = toIocDiv hp a b + m := by
rw [sub_eq_add_neg, ← neg_smul, toIocDiv_add_zsmul', sub_neg_eq_add]
#align to_Ioc_div_sub_zsmul' toIocDiv_sub_zsmul'
@[simp]
theorem toIcoDiv_add_right (a b : α) : toIcoDiv hp a (b + p) = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul hp a b 1
#align to_Ico_div_add_right toIcoDiv_add_right
@[simp]
theorem toIcoDiv_add_right' (a b : α) : toIcoDiv hp (a + p) b = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_add_zsmul' hp a b 1
#align to_Ico_div_add_right' toIcoDiv_add_right'
@[simp]
theorem toIocDiv_add_right (a b : α) : toIocDiv hp a (b + p) = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul hp a b 1
#align to_Ioc_div_add_right toIocDiv_add_right
@[simp]
theorem toIocDiv_add_right' (a b : α) : toIocDiv hp (a + p) b = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_add_zsmul' hp a b 1
#align to_Ioc_div_add_right' toIocDiv_add_right'
@[simp]
theorem toIcoDiv_add_left (a b : α) : toIcoDiv hp a (p + b) = toIcoDiv hp a b + 1 := by
rw [add_comm, toIcoDiv_add_right]
#align to_Ico_div_add_left toIcoDiv_add_left
@[simp]
theorem toIcoDiv_add_left' (a b : α) : toIcoDiv hp (p + a) b = toIcoDiv hp a b - 1 := by
rw [add_comm, toIcoDiv_add_right']
#align to_Ico_div_add_left' toIcoDiv_add_left'
@[simp]
theorem toIocDiv_add_left (a b : α) : toIocDiv hp a (p + b) = toIocDiv hp a b + 1 := by
rw [add_comm, toIocDiv_add_right]
#align to_Ioc_div_add_left toIocDiv_add_left
@[simp]
theorem toIocDiv_add_left' (a b : α) : toIocDiv hp (p + a) b = toIocDiv hp a b - 1 := by
rw [add_comm, toIocDiv_add_right']
#align to_Ioc_div_add_left' toIocDiv_add_left'
@[simp]
theorem toIcoDiv_sub (a b : α) : toIcoDiv hp a (b - p) = toIcoDiv hp a b - 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul hp a b 1
#align to_Ico_div_sub toIcoDiv_sub
@[simp]
theorem toIcoDiv_sub' (a b : α) : toIcoDiv hp (a - p) b = toIcoDiv hp a b + 1 := by
simpa only [one_zsmul] using toIcoDiv_sub_zsmul' hp a b 1
#align to_Ico_div_sub' toIcoDiv_sub'
@[simp]
theorem toIocDiv_sub (a b : α) : toIocDiv hp a (b - p) = toIocDiv hp a b - 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul hp a b 1
#align to_Ioc_div_sub toIocDiv_sub
@[simp]
theorem toIocDiv_sub' (a b : α) : toIocDiv hp (a - p) b = toIocDiv hp a b + 1 := by
simpa only [one_zsmul] using toIocDiv_sub_zsmul' hp a b 1
#align to_Ioc_div_sub' toIocDiv_sub'
theorem toIcoDiv_sub_eq_toIcoDiv_add (a b c : α) :
toIcoDiv hp a (b - c) = toIcoDiv hp (a + c) b := by
apply toIcoDiv_eq_of_sub_zsmul_mem_Ico
rw [← sub_right_comm, Set.sub_mem_Ico_iff_left, add_right_comm]
exact sub_toIcoDiv_zsmul_mem_Ico hp (a + c) b
#align to_Ico_div_sub_eq_to_Ico_div_add toIcoDiv_sub_eq_toIcoDiv_add
theorem toIocDiv_sub_eq_toIocDiv_add (a b c : α) :
toIocDiv hp a (b - c) = toIocDiv hp (a + c) b := by
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
rw [← sub_right_comm, Set.sub_mem_Ioc_iff_left, add_right_comm]
exact sub_toIocDiv_zsmul_mem_Ioc hp (a + c) b
#align to_Ioc_div_sub_eq_to_Ioc_div_add toIocDiv_sub_eq_toIocDiv_add
theorem toIcoDiv_sub_eq_toIcoDiv_add' (a b c : α) :
toIcoDiv hp (a - c) b = toIcoDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIcoDiv_sub_eq_toIcoDiv_add, sub_eq_add_neg]
#align to_Ico_div_sub_eq_to_Ico_div_add' toIcoDiv_sub_eq_toIcoDiv_add'
theorem toIocDiv_sub_eq_toIocDiv_add' (a b c : α) :
toIocDiv hp (a - c) b = toIocDiv hp a (b + c) := by
rw [← sub_neg_eq_add, toIocDiv_sub_eq_toIocDiv_add, sub_eq_add_neg]
#align to_Ioc_div_sub_eq_to_Ioc_div_add' toIocDiv_sub_eq_toIocDiv_add'
theorem toIcoDiv_neg (a b : α) : toIcoDiv hp a (-b) = -(toIocDiv hp (-a) b + 1) := by
suffices toIcoDiv hp a (-b) = -toIocDiv hp (-(a + p)) b by
rwa [neg_add, ← sub_eq_add_neg, toIocDiv_sub_eq_toIocDiv_add', toIocDiv_add_right] at this
rw [← neg_eq_iff_eq_neg, eq_comm]
apply toIocDiv_eq_of_sub_zsmul_mem_Ioc
obtain ⟨hc, ho⟩ := sub_toIcoDiv_zsmul_mem_Ico hp a (-b)
rw [← neg_lt_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at ho
rw [← neg_le_neg_iff, neg_sub' (-b), neg_neg, ← neg_smul] at hc
refine ⟨ho, hc.trans_eq ?_⟩
rw [neg_add, neg_add_cancel_right]
#align to_Ico_div_neg toIcoDiv_neg
theorem toIcoDiv_neg' (a b : α) : toIcoDiv hp (-a) b = -(toIocDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIcoDiv_neg hp (-a) (-b)
#align to_Ico_div_neg' toIcoDiv_neg'
theorem toIocDiv_neg (a b : α) : toIocDiv hp a (-b) = -(toIcoDiv hp (-a) b + 1) := by
rw [← neg_neg b, toIcoDiv_neg, neg_neg, neg_neg, neg_add', neg_neg, add_sub_cancel_right]
#align to_Ioc_div_neg toIocDiv_neg
theorem toIocDiv_neg' (a b : α) : toIocDiv hp (-a) b = -(toIcoDiv hp a (-b) + 1) := by
simpa only [neg_neg] using toIocDiv_neg hp (-a) (-b)
#align to_Ioc_div_neg' toIocDiv_neg'
@[simp]
theorem toIcoMod_add_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b + m • p) = toIcoMod hp a b := by
rw [toIcoMod, toIcoDiv_add_zsmul, toIcoMod, add_smul]
abel
#align to_Ico_mod_add_zsmul toIcoMod_add_zsmul
@[simp]
theorem toIcoMod_add_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a + m • p) b = toIcoMod hp a b + m • p := by
simp only [toIcoMod, toIcoDiv_add_zsmul', sub_smul, sub_add]
#align to_Ico_mod_add_zsmul' toIcoMod_add_zsmul'
@[simp]
theorem toIocMod_add_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b + m • p) = toIocMod hp a b := by
rw [toIocMod, toIocDiv_add_zsmul, toIocMod, add_smul]
abel
#align to_Ioc_mod_add_zsmul toIocMod_add_zsmul
@[simp]
theorem toIocMod_add_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a + m • p) b = toIocMod hp a b + m • p := by
simp only [toIocMod, toIocDiv_add_zsmul', sub_smul, sub_add]
#align to_Ioc_mod_add_zsmul' toIocMod_add_zsmul'
@[simp]
theorem toIcoMod_zsmul_add (a b : α) (m : ℤ) : toIcoMod hp a (m • p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul]
#align to_Ico_mod_zsmul_add toIcoMod_zsmul_add
@[simp]
theorem toIcoMod_zsmul_add' (a b : α) (m : ℤ) :
toIcoMod hp (m • p + a) b = m • p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_zsmul', add_comm]
#align to_Ico_mod_zsmul_add' toIcoMod_zsmul_add'
@[simp]
theorem toIocMod_zsmul_add (a b : α) (m : ℤ) : toIocMod hp a (m • p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul]
#align to_Ioc_mod_zsmul_add toIocMod_zsmul_add
@[simp]
theorem toIocMod_zsmul_add' (a b : α) (m : ℤ) :
toIocMod hp (m • p + a) b = m • p + toIocMod hp a b := by
rw [add_comm, toIocMod_add_zsmul', add_comm]
#align to_Ioc_mod_zsmul_add' toIocMod_zsmul_add'
@[simp]
theorem toIcoMod_sub_zsmul (a b : α) (m : ℤ) : toIcoMod hp a (b - m • p) = toIcoMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul]
#align to_Ico_mod_sub_zsmul toIcoMod_sub_zsmul
@[simp]
theorem toIcoMod_sub_zsmul' (a b : α) (m : ℤ) :
toIcoMod hp (a - m • p) b = toIcoMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIcoMod_add_zsmul']
#align to_Ico_mod_sub_zsmul' toIcoMod_sub_zsmul'
@[simp]
theorem toIocMod_sub_zsmul (a b : α) (m : ℤ) : toIocMod hp a (b - m • p) = toIocMod hp a b := by
rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul]
#align to_Ioc_mod_sub_zsmul toIocMod_sub_zsmul
@[simp]
theorem toIocMod_sub_zsmul' (a b : α) (m : ℤ) :
toIocMod hp (a - m • p) b = toIocMod hp a b - m • p := by
simp_rw [sub_eq_add_neg, ← neg_smul, toIocMod_add_zsmul']
#align to_Ioc_mod_sub_zsmul' toIocMod_sub_zsmul'
@[simp]
theorem toIcoMod_add_right (a b : α) : toIcoMod hp a (b + p) = toIcoMod hp a b := by
simpa only [one_zsmul] using toIcoMod_add_zsmul hp a b 1
#align to_Ico_mod_add_right toIcoMod_add_right
@[simp]
theorem toIcoMod_add_right' (a b : α) : toIcoMod hp (a + p) b = toIcoMod hp a b + p := by
simpa only [one_zsmul] using toIcoMod_add_zsmul' hp a b 1
#align to_Ico_mod_add_right' toIcoMod_add_right'
@[simp]
theorem toIocMod_add_right (a b : α) : toIocMod hp a (b + p) = toIocMod hp a b := by
simpa only [one_zsmul] using toIocMod_add_zsmul hp a b 1
#align to_Ioc_mod_add_right toIocMod_add_right
@[simp]
theorem toIocMod_add_right' (a b : α) : toIocMod hp (a + p) b = toIocMod hp a b + p := by
simpa only [one_zsmul] using toIocMod_add_zsmul' hp a b 1
#align to_Ioc_mod_add_right' toIocMod_add_right'
@[simp]
theorem toIcoMod_add_left (a b : α) : toIcoMod hp a (p + b) = toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_right]
#align to_Ico_mod_add_left toIcoMod_add_left
@[simp]
theorem toIcoMod_add_left' (a b : α) : toIcoMod hp (p + a) b = p + toIcoMod hp a b := by
rw [add_comm, toIcoMod_add_right', add_comm]
#align to_Ico_mod_add_left' toIcoMod_add_left'
@[simp]
theorem toIocMod_add_left (a b : α) : toIocMod hp a (p + b) = toIocMod hp a b := by
rw [add_comm, toIocMod_add_right]
#align to_Ioc_mod_add_left toIocMod_add_left
@[simp]
theorem toIocMod_add_left' (a b : α) : toIocMod hp (p + a) b = p + toIocMod hp a b := by
rw [add_comm, toIocMod_add_right', add_comm]
#align to_Ioc_mod_add_left' toIocMod_add_left'
@[simp]
theorem toIcoMod_sub (a b : α) : toIcoMod hp a (b - p) = toIcoMod hp a b := by
simpa only [one_zsmul] using toIcoMod_sub_zsmul hp a b 1
#align to_Ico_mod_sub toIcoMod_sub
@[simp]
theorem toIcoMod_sub' (a b : α) : toIcoMod hp (a - p) b = toIcoMod hp a b - p := by
simpa only [one_zsmul] using toIcoMod_sub_zsmul' hp a b 1
#align to_Ico_mod_sub' toIcoMod_sub'
@[simp]
theorem toIocMod_sub (a b : α) : toIocMod hp a (b - p) = toIocMod hp a b := by
simpa only [one_zsmul] using toIocMod_sub_zsmul hp a b 1
#align to_Ioc_mod_sub toIocMod_sub
@[simp]
theorem toIocMod_sub' (a b : α) : toIocMod hp (a - p) b = toIocMod hp a b - p := by
simpa only [one_zsmul] using toIocMod_sub_zsmul' hp a b 1
#align to_Ioc_mod_sub' toIocMod_sub'
theorem toIcoMod_sub_eq_sub (a b c : α) : toIcoMod hp a (b - c) = toIcoMod hp (a + c) b - c := by
simp_rw [toIcoMod, toIcoDiv_sub_eq_toIcoDiv_add, sub_right_comm]
#align to_Ico_mod_sub_eq_sub toIcoMod_sub_eq_sub
theorem toIocMod_sub_eq_sub (a b c : α) : toIocMod hp a (b - c) = toIocMod hp (a + c) b - c := by
simp_rw [toIocMod, toIocDiv_sub_eq_toIocDiv_add, sub_right_comm]
#align to_Ioc_mod_sub_eq_sub toIocMod_sub_eq_sub
theorem toIcoMod_add_right_eq_add (a b c : α) :
toIcoMod hp a (b + c) = toIcoMod hp (a - c) b + c := by
simp_rw [toIcoMod, toIcoDiv_sub_eq_toIcoDiv_add', sub_add_eq_add_sub]
#align to_Ico_mod_add_right_eq_add toIcoMod_add_right_eq_add
theorem toIocMod_add_right_eq_add (a b c : α) :
toIocMod hp a (b + c) = toIocMod hp (a - c) b + c := by
simp_rw [toIocMod, toIocDiv_sub_eq_toIocDiv_add', sub_add_eq_add_sub]
#align to_Ioc_mod_add_right_eq_add toIocMod_add_right_eq_add
theorem toIcoMod_neg (a b : α) : toIcoMod hp a (-b) = p - toIocMod hp (-a) b := by
simp_rw [toIcoMod, toIocMod, toIcoDiv_neg, neg_smul, add_smul]
abel
#align to_Ico_mod_neg toIcoMod_neg
theorem toIcoMod_neg' (a b : α) : toIcoMod hp (-a) b = p - toIocMod hp a (-b) := by
simpa only [neg_neg] using toIcoMod_neg hp (-a) (-b)
#align to_Ico_mod_neg' toIcoMod_neg'
theorem toIocMod_neg (a b : α) : toIocMod hp a (-b) = p - toIcoMod hp (-a) b := by
simp_rw [toIocMod, toIcoMod, toIocDiv_neg, neg_smul, add_smul]
abel
#align to_Ioc_mod_neg toIocMod_neg
theorem toIocMod_neg' (a b : α) : toIocMod hp (-a) b = p - toIcoMod hp a (-b) := by
simpa only [neg_neg] using toIocMod_neg hp (-a) (-b)
#align to_Ioc_mod_neg' toIocMod_neg'
theorem toIcoMod_eq_toIcoMod : toIcoMod hp a b = toIcoMod hp a c ↔ ∃ n : ℤ, c - b = n • p := by
refine ⟨fun h => ⟨toIcoDiv hp a c - toIcoDiv hp a b, ?_⟩, fun h => ?_⟩
· conv_lhs => rw [← toIcoMod_add_toIcoDiv_zsmul hp a b, ← toIcoMod_add_toIcoDiv_zsmul hp a c]
rw [h, sub_smul]
abel
· rcases h with ⟨z, hz⟩
rw [sub_eq_iff_eq_add] at hz
rw [hz, toIcoMod_zsmul_add]
#align to_Ico_mod_eq_to_Ico_mod toIcoMod_eq_toIcoMod
theorem toIocMod_eq_toIocMod : toIocMod hp a b = toIocMod hp a c ↔ ∃ n : ℤ, c - b = n • p := by
refine ⟨fun h => ⟨toIocDiv hp a c - toIocDiv hp a b, ?_⟩, fun h => ?_⟩
· conv_lhs => rw [← toIocMod_add_toIocDiv_zsmul hp a b, ← toIocMod_add_toIocDiv_zsmul hp a c]
rw [h, sub_smul]
abel
· rcases h with ⟨z, hz⟩
rw [sub_eq_iff_eq_add] at hz
rw [hz, toIocMod_zsmul_add]
#align to_Ioc_mod_eq_to_Ioc_mod toIocMod_eq_toIocMod
section IcoIoc
open AddCommGroup
theorem toIcoMod_eq_self : toIcoMod hp a b = b ↔ b ∈ Set.Ico a (a + p) := by
rw [toIcoMod_eq_iff, and_iff_left]
exact ⟨0, by simp⟩
#align to_Ico_mod_eq_self toIcoMod_eq_self
theorem toIocMod_eq_self : toIocMod hp a b = b ↔ b ∈ Set.Ioc a (a + p) := by
rw [toIocMod_eq_iff, and_iff_left]
exact ⟨0, by simp⟩
#align to_Ioc_mod_eq_self toIocMod_eq_self
@[simp]
theorem toIcoMod_toIcoMod (a₁ a₂ b : α) : toIcoMod hp a₁ (toIcoMod hp a₂ b) = toIcoMod hp a₁ b :=
(toIcoMod_eq_toIcoMod _).2 ⟨toIcoDiv hp a₂ b, self_sub_toIcoMod hp a₂ b⟩
#align to_Ico_mod_to_Ico_mod toIcoMod_toIcoMod
@[simp]
theorem toIcoMod_toIocMod (a₁ a₂ b : α) : toIcoMod hp a₁ (toIocMod hp a₂ b) = toIcoMod hp a₁ b :=
(toIcoMod_eq_toIcoMod _).2 ⟨toIocDiv hp a₂ b, self_sub_toIocMod hp a₂ b⟩
#align to_Ico_mod_to_Ioc_mod toIcoMod_toIocMod
@[simp]
theorem toIocMod_toIocMod (a₁ a₂ b : α) : toIocMod hp a₁ (toIocMod hp a₂ b) = toIocMod hp a₁ b :=
(toIocMod_eq_toIocMod _).2 ⟨toIocDiv hp a₂ b, self_sub_toIocMod hp a₂ b⟩
#align to_Ioc_mod_to_Ioc_mod toIocMod_toIocMod
@[simp]
theorem toIocMod_toIcoMod (a₁ a₂ b : α) : toIocMod hp a₁ (toIcoMod hp a₂ b) = toIocMod hp a₁ b :=
(toIocMod_eq_toIocMod _).2 ⟨toIcoDiv hp a₂ b, self_sub_toIcoMod hp a₂ b⟩
#align to_Ioc_mod_to_Ico_mod toIocMod_toIcoMod
theorem toIcoMod_periodic (a : α) : Function.Periodic (toIcoMod hp a) p :=
toIcoMod_add_right hp a
#align to_Ico_mod_periodic toIcoMod_periodic
theorem toIocMod_periodic (a : α) : Function.Periodic (toIocMod hp a) p :=
toIocMod_add_right hp a
#align to_Ioc_mod_periodic toIocMod_periodic
-- helper lemmas for when `a = 0`
section Zero
theorem toIcoMod_zero_sub_comm (a b : α) : toIcoMod hp 0 (a - b) = p - toIocMod hp 0 (b - a) := by
rw [← neg_sub, toIcoMod_neg, neg_zero]
#align to_Ico_mod_zero_sub_comm toIcoMod_zero_sub_comm
theorem toIocMod_zero_sub_comm (a b : α) : toIocMod hp 0 (a - b) = p - toIcoMod hp 0 (b - a) := by
rw [← neg_sub, toIocMod_neg, neg_zero]
#align to_Ioc_mod_zero_sub_comm toIocMod_zero_sub_comm
theorem toIcoDiv_eq_sub (a b : α) : toIcoDiv hp a b = toIcoDiv hp 0 (b - a) := by
rw [toIcoDiv_sub_eq_toIcoDiv_add, zero_add]
#align to_Ico_div_eq_sub toIcoDiv_eq_sub
| Mathlib/Algebra/Order/ToIntervalMod.lean | 776 | 777 | theorem toIocDiv_eq_sub (a b : α) : toIocDiv hp a b = toIocDiv hp 0 (b - a) := by |
rw [toIocDiv_sub_eq_toIocDiv_add, zero_add]
|
import Mathlib.Data.Fintype.List
#align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49"
assert_not_exists MonoidWithZero
namespace List
variable {α : Type*} [DecidableEq α]
def nextOr : ∀ (_ : List α) (_ _ : α), α
| [], _, default => default
| [_], _, default => default
-- Handles the not-found and the wraparound case
| y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default
#align list.next_or List.nextOr
@[simp]
theorem nextOr_nil (x d : α) : nextOr [] x d = d :=
rfl
#align list.next_or_nil List.nextOr_nil
@[simp]
theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d :=
rfl
#align list.next_or_singleton List.nextOr_singleton
@[simp]
theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y :=
if_pos rfl
#align list.next_or_self_cons_cons List.nextOr_self_cons_cons
theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) :
nextOr (y :: xs) x d = nextOr xs x d := by
cases' xs with z zs
· rfl
· exact if_neg h
#align list.next_or_cons_of_ne List.nextOr_cons_of_ne
theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs)
(x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by
induction' xs with y ys IH
· cases x_mem
cases' ys with z zs
· simp at x_mem x_ne
contradiction
by_cases h : x = y
· rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons]
· rw [nextOr, nextOr, IH]
· simpa [h] using x_mem
· simpa using x_ne
#align list.next_or_eq_next_or_of_mem_of_ne List.nextOr_eq_nextOr_of_mem_of_ne
theorem mem_of_nextOr_ne {xs : List α} {x d : α} (h : nextOr xs x d ≠ d) : x ∈ xs := by
induction' xs with y ys IH
· simp at h
cases' ys with z zs
· simp at h
· by_cases hx : x = y
· simp [hx]
· rw [nextOr_cons_of_ne _ _ _ _ hx] at h
simpa [hx] using IH h
#align list.mem_of_next_or_ne List.mem_of_nextOr_ne
theorem nextOr_concat {xs : List α} {x : α} (d : α) (h : x ∉ xs) : nextOr (xs ++ [x]) x d = d := by
induction' xs with z zs IH
· simp
· obtain ⟨hz, hzs⟩ := not_or.mp (mt mem_cons.2 h)
rw [cons_append, nextOr_cons_of_ne _ _ _ _ hz, IH hzs]
#align list.next_or_concat List.nextOr_concat
| Mathlib/Data/List/Cycle.lean | 94 | 106 | theorem nextOr_mem {xs : List α} {x d : α} (hd : d ∈ xs) : nextOr xs x d ∈ xs := by |
revert hd
suffices ∀ xs' : List α, (∀ x ∈ xs, x ∈ xs') → d ∈ xs' → nextOr xs x d ∈ xs' by
exact this xs fun _ => id
intro xs' hxs' hd
induction' xs with y ys ih
· exact hd
cases' ys with z zs
· exact hd
rw [nextOr]
split_ifs with h
· exact hxs' _ (mem_cons_of_mem _ (mem_cons_self _ _))
· exact ih fun _ h => hxs' _ (mem_cons_of_mem _ h)
|
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Algebra.Polynomial.Roots
import Mathlib.RingTheory.EuclideanDomain
#align_import data.polynomial.field_division from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
noncomputable section
open Polynomial
namespace Polynomial
universe u v w y z
variable {R : Type u} {S : Type v} {k : Type y} {A : Type z} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R]
theorem rootMultiplicity_sub_one_le_derivative_rootMultiplicity_of_ne_zero
(p : R[X]) (t : R) (hnezero : derivative p ≠ 0) :
p.rootMultiplicity t - 1 ≤ p.derivative.rootMultiplicity t :=
(le_rootMultiplicity_iff hnezero).2 <|
pow_sub_one_dvd_derivative_of_pow_dvd (p.pow_rootMultiplicity_dvd t)
theorem derivative_rootMultiplicity_of_root_of_mem_nonZeroDivisors
{p : R[X]} {t : R} (hpt : Polynomial.IsRoot p t)
(hnzd : (p.rootMultiplicity t : R) ∈ nonZeroDivisors R) :
(derivative p).rootMultiplicity t = p.rootMultiplicity t - 1 := by
by_cases h : p = 0
· simp only [h, map_zero, rootMultiplicity_zero]
obtain ⟨g, hp, hndvd⟩ := p.exists_eq_pow_rootMultiplicity_mul_and_not_dvd h t
set m := p.rootMultiplicity t
have hm : m - 1 + 1 = m := Nat.sub_add_cancel <| (rootMultiplicity_pos h).2 hpt
have hndvd : ¬(X - C t) ^ m ∣ derivative p := by
rw [hp, derivative_mul, dvd_add_left (dvd_mul_right _ _),
derivative_X_sub_C_pow, ← hm, pow_succ, hm, mul_comm (C _), mul_assoc,
dvd_cancel_left_mem_nonZeroDivisors (monic_X_sub_C t |>.pow _ |>.mem_nonZeroDivisors)]
rw [dvd_iff_isRoot, IsRoot] at hndvd ⊢
rwa [eval_mul, eval_C, mul_left_mem_nonZeroDivisors_eq_zero_iff hnzd]
have hnezero : derivative p ≠ 0 := fun h ↦ hndvd (by rw [h]; exact dvd_zero _)
exact le_antisymm (by rwa [rootMultiplicity_le_iff hnezero, hm])
(rootMultiplicity_sub_one_le_derivative_rootMultiplicity_of_ne_zero _ t hnezero)
theorem isRoot_iterate_derivative_of_lt_rootMultiplicity {p : R[X]} {t : R} {n : ℕ}
(hn : n < p.rootMultiplicity t) : (derivative^[n] p).IsRoot t :=
dvd_iff_isRoot.mp <| (dvd_pow_self _ <| Nat.sub_ne_zero_of_lt hn).trans
(pow_sub_dvd_iterate_derivative_of_pow_dvd _ <| p.pow_rootMultiplicity_dvd t)
open Finset in
| Mathlib/Algebra/Polynomial/FieldDivision.lean | 65 | 76 | theorem eval_iterate_derivative_rootMultiplicity {p : R[X]} {t : R} :
(derivative^[p.rootMultiplicity t] p).eval t =
(p.rootMultiplicity t).factorial • (p /ₘ (X - C t) ^ p.rootMultiplicity t).eval t := by |
set m := p.rootMultiplicity t with hm
conv_lhs => rw [← p.pow_mul_divByMonic_rootMultiplicity_eq t, ← hm]
rw [iterate_derivative_mul, eval_finset_sum, sum_eq_single_of_mem _ (mem_range.mpr m.succ_pos)]
· rw [m.choose_zero_right, one_smul, eval_mul, m.sub_zero, iterate_derivative_X_sub_pow_self,
eval_natCast, nsmul_eq_mul]; rfl
· intro b hb hb0
rw [iterate_derivative_X_sub_pow, eval_smul, eval_mul, eval_smul, eval_pow,
Nat.sub_sub_self (mem_range_succ_iff.mp hb), eval_sub, eval_X, eval_C, sub_self,
zero_pow hb0, smul_zero, zero_mul, smul_zero]
|
import Mathlib.Data.List.Count
import Mathlib.Data.List.Dedup
import Mathlib.Data.List.InsertNth
import Mathlib.Data.List.Lattice
import Mathlib.Data.List.Permutation
import Mathlib.Data.Nat.Factorial.Basic
#align_import data.list.perm from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
-- Make sure we don't import algebra
assert_not_exists Monoid
open Nat
namespace List
variable {α β : Type*} {l l₁ l₂ : List α} {a : α}
#align list.perm List.Perm
instance : Trans (@List.Perm α) (@List.Perm α) List.Perm where
trans := @List.Perm.trans α
open Perm (swap)
attribute [refl] Perm.refl
#align list.perm.refl List.Perm.refl
lemma perm_rfl : l ~ l := Perm.refl _
-- Porting note: used rec_on in mathlib3; lean4 eqn compiler still doesn't like it
attribute [symm] Perm.symm
#align list.perm.symm List.Perm.symm
#align list.perm_comm List.perm_comm
#align list.perm.swap' List.Perm.swap'
attribute [trans] Perm.trans
#align list.perm.eqv List.Perm.eqv
#align list.is_setoid List.isSetoid
#align list.perm.mem_iff List.Perm.mem_iff
#align list.perm.subset List.Perm.subset
theorem Perm.subset_congr_left {l₁ l₂ l₃ : List α} (h : l₁ ~ l₂) : l₁ ⊆ l₃ ↔ l₂ ⊆ l₃ :=
⟨h.symm.subset.trans, h.subset.trans⟩
#align list.perm.subset_congr_left List.Perm.subset_congr_left
theorem Perm.subset_congr_right {l₁ l₂ l₃ : List α} (h : l₁ ~ l₂) : l₃ ⊆ l₁ ↔ l₃ ⊆ l₂ :=
⟨fun h' => h'.trans h.subset, fun h' => h'.trans h.symm.subset⟩
#align list.perm.subset_congr_right List.Perm.subset_congr_right
#align list.perm.append_right List.Perm.append_right
#align list.perm.append_left List.Perm.append_left
#align list.perm.append List.Perm.append
#align list.perm.append_cons List.Perm.append_cons
#align list.perm_middle List.perm_middle
#align list.perm_append_singleton List.perm_append_singleton
#align list.perm_append_comm List.perm_append_comm
#align list.concat_perm List.concat_perm
#align list.perm.length_eq List.Perm.length_eq
#align list.perm.eq_nil List.Perm.eq_nil
#align list.perm.nil_eq List.Perm.nil_eq
#align list.perm_nil List.perm_nil
#align list.nil_perm List.nil_perm
#align list.not_perm_nil_cons List.not_perm_nil_cons
#align list.reverse_perm List.reverse_perm
#align list.perm_cons_append_cons List.perm_cons_append_cons
#align list.perm_replicate List.perm_replicate
#align list.replicate_perm List.replicate_perm
#align list.perm_singleton List.perm_singleton
#align list.singleton_perm List.singleton_perm
#align list.singleton_perm_singleton List.singleton_perm_singleton
#align list.perm_cons_erase List.perm_cons_erase
#align list.perm_induction_on List.Perm.recOnSwap'
-- Porting note: used to be @[congr]
#align list.perm.filter_map List.Perm.filterMap
-- Porting note: used to be @[congr]
#align list.perm.map List.Perm.map
#align list.perm.pmap List.Perm.pmap
#align list.perm.filter List.Perm.filter
#align list.filter_append_perm List.filter_append_perm
#align list.exists_perm_sublist List.exists_perm_sublist
#align list.perm.sizeof_eq_sizeof List.Perm.sizeOf_eq_sizeOf
#align list.sublist.exists_perm_append List.Sublist.exists_perm_append
lemma subperm_iff : l₁ <+~ l₂ ↔ ∃ l, l ~ l₂ ∧ l₁ <+ l := by
refine ⟨?_, fun ⟨l, h₁, h₂⟩ ↦ h₂.subperm.trans h₁.subperm⟩
rintro ⟨l, h₁, h₂⟩
obtain ⟨l', h₂⟩ := h₂.exists_perm_append
exact ⟨l₁ ++ l', (h₂.trans (h₁.append_right _)).symm, (prefix_append _ _).sublist⟩
#align list.subperm_singleton_iff List.singleton_subperm_iff
@[simp] lemma subperm_singleton_iff : l <+~ [a] ↔ l = [] ∨ l = [a] := by
constructor
· rw [subperm_iff]
rintro ⟨s, hla, h⟩
rwa [perm_singleton.mp hla, sublist_singleton] at h
· rintro (rfl | rfl)
exacts [nil_subperm, Subperm.refl _]
attribute [simp] nil_subperm
@[simp]
theorem subperm_nil : List.Subperm l [] ↔ l = [] :=
match l with
| [] => by simp
| head :: tail => by
simp only [iff_false]
intro h
have := h.length_le
simp only [List.length_cons, List.length_nil, Nat.succ_ne_zero, ← Nat.not_lt, Nat.zero_lt_succ,
not_true_eq_false] at this
#align list.perm.countp_eq List.Perm.countP_eq
#align list.subperm.countp_le List.Subperm.countP_le
#align list.perm.countp_congr List.Perm.countP_congr
#align list.countp_eq_countp_filter_add List.countP_eq_countP_filter_add
lemma count_eq_count_filter_add [DecidableEq α] (P : α → Prop) [DecidablePred P]
(l : List α) (a : α) :
count a l = count a (l.filter P) + count a (l.filter (¬ P ·)) := by
convert countP_eq_countP_filter_add l _ P
simp only [decide_not]
#align list.perm.count_eq List.Perm.count_eq
#align list.subperm.count_le List.Subperm.count_le
#align list.perm.foldl_eq' List.Perm.foldl_eq'
theorem Perm.foldl_eq {f : β → α → β} {l₁ l₂ : List α} (rcomm : RightCommutative f) (p : l₁ ~ l₂) :
∀ b, foldl f b l₁ = foldl f b l₂ :=
p.foldl_eq' fun x _hx y _hy z => rcomm z x y
#align list.perm.foldl_eq List.Perm.foldl_eq
theorem Perm.foldr_eq {f : α → β → β} {l₁ l₂ : List α} (lcomm : LeftCommutative f) (p : l₁ ~ l₂) :
∀ b, foldr f b l₁ = foldr f b l₂ := by
intro b
induction p using Perm.recOnSwap' generalizing b with
| nil => rfl
| cons _ _ r => simp; rw [r b]
| swap' _ _ _ r => simp; rw [lcomm, r b]
| trans _ _ r₁ r₂ => exact Eq.trans (r₁ b) (r₂ b)
#align list.perm.foldr_eq List.Perm.foldr_eq
#align list.perm.rec_heq List.Perm.rec_heq
section
variable {op : α → α → α} [IA : Std.Associative op] [IC : Std.Commutative op]
local notation a " * " b => op a b
local notation l " <*> " a => foldl op a l
theorem Perm.fold_op_eq {l₁ l₂ : List α} {a : α} (h : l₁ ~ l₂) : (l₁ <*> a) = l₂ <*> a :=
h.foldl_eq (right_comm _ IC.comm IA.assoc) _
#align list.perm.fold_op_eq List.Perm.fold_op_eq
end
#align list.perm_inv_core List.perm_inv_core
#align list.perm.cons_inv List.Perm.cons_inv
#align list.perm_cons List.perm_cons
#align list.perm_append_left_iff List.perm_append_left_iff
#align list.perm_append_right_iff List.perm_append_right_iff
theorem perm_option_to_list {o₁ o₂ : Option α} : o₁.toList ~ o₂.toList ↔ o₁ = o₂ := by
refine ⟨fun p => ?_, fun e => e ▸ Perm.refl _⟩
cases' o₁ with a <;> cases' o₂ with b; · rfl
· cases p.length_eq
· cases p.length_eq
· exact Option.mem_toList.1 (p.symm.subset <| by simp)
#align list.perm_option_to_list List.perm_option_to_list
#align list.subperm_cons List.subperm_cons
alias ⟨subperm.of_cons, subperm.cons⟩ := subperm_cons
#align list.subperm.of_cons List.subperm.of_cons
#align list.subperm.cons List.subperm.cons
-- Porting note: commented out
--attribute [protected] subperm.cons
theorem cons_subperm_of_mem {a : α} {l₁ l₂ : List α} (d₁ : Nodup l₁) (h₁ : a ∉ l₁) (h₂ : a ∈ l₂)
(s : l₁ <+~ l₂) : a :: l₁ <+~ l₂ := by
rcases s with ⟨l, p, s⟩
induction s generalizing l₁ with
| slnil => cases h₂
| @cons r₁ r₂ b s' ih =>
simp? at h₂ says simp only [mem_cons] at h₂
cases' h₂ with e m
· subst b
exact ⟨a :: r₁, p.cons a, s'.cons₂ _⟩
· rcases ih d₁ h₁ m p with ⟨t, p', s'⟩
exact ⟨t, p', s'.cons _⟩
| @cons₂ r₁ r₂ b _ ih =>
have bm : b ∈ l₁ := p.subset <| mem_cons_self _ _
have am : a ∈ r₂ := by
simp only [find?, mem_cons] at h₂
exact h₂.resolve_left fun e => h₁ <| e.symm ▸ bm
rcases append_of_mem bm with ⟨t₁, t₂, rfl⟩
have st : t₁ ++ t₂ <+ t₁ ++ b :: t₂ := by simp
rcases ih (d₁.sublist st) (mt (fun x => st.subset x) h₁) am
(Perm.cons_inv <| p.trans perm_middle) with
⟨t, p', s'⟩
exact
⟨b :: t, (p'.cons b).trans <| (swap _ _ _).trans (perm_middle.symm.cons a), s'.cons₂ _⟩
#align list.cons_subperm_of_mem List.cons_subperm_of_mem
#align list.subperm_append_left List.subperm_append_left
#align list.subperm_append_right List.subperm_append_right
#align list.subperm.exists_of_length_lt List.Subperm.exists_of_length_lt
protected theorem Nodup.subperm (d : Nodup l₁) (H : l₁ ⊆ l₂) : l₁ <+~ l₂ :=
subperm_of_subset d H
#align list.nodup.subperm List.Nodup.subperm
#align list.perm_ext List.perm_ext_iff_of_nodup
#align list.nodup.sublist_ext List.Nodup.perm_iff_eq_of_sublist
section
variable [DecidableEq α]
-- attribute [congr]
#align list.perm.erase List.Perm.erase
#align list.subperm_cons_erase List.subperm_cons_erase
#align list.erase_subperm List.erase_subperm
#align list.subperm.erase List.Subperm.erase
#align list.perm.diff_right List.Perm.diff_right
#align list.perm.diff_left List.Perm.diff_left
#align list.perm.diff List.Perm.diff
#align list.subperm.diff_right List.Subperm.diff_right
#align list.erase_cons_subperm_cons_erase List.erase_cons_subperm_cons_erase
#align list.subperm_cons_diff List.subperm_cons_diff
#align list.subset_cons_diff List.subset_cons_diff
theorem Perm.bagInter_right {l₁ l₂ : List α} (t : List α) (h : l₁ ~ l₂) :
l₁.bagInter t ~ l₂.bagInter t := by
induction' h with x _ _ _ _ x y _ _ _ _ _ _ ih_1 ih_2 generalizing t; · simp
· by_cases x ∈ t <;> simp [*, Perm.cons]
· by_cases h : x = y
· simp [h]
by_cases xt : x ∈ t <;> by_cases yt : y ∈ t
· simp [xt, yt, mem_erase_of_ne h, mem_erase_of_ne (Ne.symm h), erase_comm, swap]
· simp [xt, yt, mt mem_of_mem_erase, Perm.cons]
· simp [xt, yt, mt mem_of_mem_erase, Perm.cons]
· simp [xt, yt]
· exact (ih_1 _).trans (ih_2 _)
#align list.perm.bag_inter_right List.Perm.bagInter_right
theorem Perm.bagInter_left (l : List α) {t₁ t₂ : List α} (p : t₁ ~ t₂) :
l.bagInter t₁ = l.bagInter t₂ := by
induction' l with a l IH generalizing t₁ t₂ p; · simp
by_cases h : a ∈ t₁
· simp [h, p.subset h, IH (p.erase _)]
· simp [h, mt p.mem_iff.2 h, IH p]
#align list.perm.bag_inter_left List.Perm.bagInter_left
theorem Perm.bagInter {l₁ l₂ t₁ t₂ : List α} (hl : l₁ ~ l₂) (ht : t₁ ~ t₂) :
l₁.bagInter t₁ ~ l₂.bagInter t₂ :=
ht.bagInter_left l₂ ▸ hl.bagInter_right _
#align list.perm.bag_inter List.Perm.bagInter
#align list.cons_perm_iff_perm_erase List.cons_perm_iff_perm_erase
#align list.perm_iff_count List.perm_iff_count
theorem perm_replicate_append_replicate {l : List α} {a b : α} {m n : ℕ} (h : a ≠ b) :
l ~ replicate m a ++ replicate n b ↔ count a l = m ∧ count b l = n ∧ l ⊆ [a, b] := by
rw [perm_iff_count, ← Decidable.and_forall_ne a, ← Decidable.and_forall_ne b]
suffices l ⊆ [a, b] ↔ ∀ c, c ≠ b → c ≠ a → c ∉ l by
simp (config := { contextual := true }) [count_replicate, h, h.symm, this, count_eq_zero]
trans ∀ c, c ∈ l → c = b ∨ c = a
· simp [subset_def, or_comm]
· exact forall_congr' fun _ => by rw [← and_imp, ← not_or, not_imp_not]
#align list.perm_replicate_append_replicate List.perm_replicate_append_replicate
#align list.subperm.cons_right List.Subperm.cons_right
#align list.subperm_append_diff_self_of_count_le List.subperm_append_diff_self_of_count_le
#align list.subperm_ext_iff List.subperm_ext_iff
#align list.decidable_subperm List.decidableSubperm
#align list.subperm.cons_left List.Subperm.cons_left
#align list.decidable_perm List.decidablePerm
-- @[congr]
theorem Perm.dedup {l₁ l₂ : List α} (p : l₁ ~ l₂) : dedup l₁ ~ dedup l₂ :=
perm_iff_count.2 fun a =>
if h : a ∈ l₁ then by simp [nodup_dedup, h, p.subset h] else by simp [h, mt p.mem_iff.2 h]
#align list.perm.dedup List.Perm.dedup
-- attribute [congr]
#align list.perm.insert List.Perm.insert
#align list.perm_insert_swap List.perm_insert_swap
#align list.perm_insert_nth List.perm_insertNth
#align list.perm.union_right List.Perm.union_right
#align list.perm.union_left List.Perm.union_left
-- @[congr]
#align list.perm.union List.Perm.union
#align list.perm.inter_right List.Perm.inter_right
#align list.perm.inter_left List.Perm.inter_left
-- @[congr]
#align list.perm.inter List.Perm.inter
theorem Perm.inter_append {l t₁ t₂ : List α} (h : Disjoint t₁ t₂) :
l ∩ (t₁ ++ t₂) ~ l ∩ t₁ ++ l ∩ t₂ := by
induction l with
| nil => simp
| cons x xs l_ih =>
by_cases h₁ : x ∈ t₁
· have h₂ : x ∉ t₂ := h h₁
simp [*]
by_cases h₂ : x ∈ t₂
· simp only [*, inter_cons_of_not_mem, false_or_iff, mem_append, inter_cons_of_mem,
not_false_iff]
refine Perm.trans (Perm.cons _ l_ih) ?_
change [x] ++ xs ∩ t₁ ++ xs ∩ t₂ ~ xs ∩ t₁ ++ ([x] ++ xs ∩ t₂)
rw [← List.append_assoc]
solve_by_elim [Perm.append_right, perm_append_comm]
· simp [*]
#align list.perm.inter_append List.Perm.inter_append
end
#align list.perm.pairwise_iff List.Perm.pairwise_iff
#align list.pairwise.perm List.Pairwise.perm
#align list.perm.pairwise List.Perm.pairwise
#align list.perm.nodup_iff List.Perm.nodup_iff
#align list.perm.join List.Perm.join
#align list.perm.bind_right List.Perm.bind_right
#align list.perm.join_congr List.Perm.join_congr
theorem Perm.bind_left (l : List α) {f g : α → List β} (h : ∀ a ∈ l, f a ~ g a) :
l.bind f ~ l.bind g :=
Perm.join_congr <| by
rwa [List.forall₂_map_right_iff, List.forall₂_map_left_iff, List.forall₂_same]
#align list.perm.bind_left List.Perm.bind_left
| Mathlib/Data/List/Perm.lean | 523 | 528 | theorem bind_append_perm (l : List α) (f g : α → List β) :
l.bind f ++ l.bind g ~ l.bind fun x => f x ++ g x := by |
induction' l with a l IH <;> simp
refine (Perm.trans ?_ (IH.append_left _)).append_left _
rw [← append_assoc, ← append_assoc]
exact perm_append_comm.append_right _
|
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Group.Int
import Mathlib.Data.Nat.Dist
import Mathlib.Data.Ordmap.Ordnode
import Mathlib.Tactic.Abel
import Mathlib.Tactic.Linarith
#align_import data.ordmap.ordset from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69"
variable {α : Type*}
namespace Ordnode
theorem not_le_delta {s} (H : 1 ≤ s) : ¬s ≤ delta * 0 :=
not_le_of_gt H
#align ordnode.not_le_delta Ordnode.not_le_delta
theorem delta_lt_false {a b : ℕ} (h₁ : delta * a < b) (h₂ : delta * b < a) : False :=
not_le_of_lt (lt_trans ((mul_lt_mul_left (by decide)).2 h₁) h₂) <| by
simpa [mul_assoc] using Nat.mul_le_mul_right a (by decide : 1 ≤ delta * delta)
#align ordnode.delta_lt_false Ordnode.delta_lt_false
def realSize : Ordnode α → ℕ
| nil => 0
| node _ l _ r => realSize l + realSize r + 1
#align ordnode.real_size Ordnode.realSize
def Sized : Ordnode α → Prop
| nil => True
| node s l _ r => s = size l + size r + 1 ∧ Sized l ∧ Sized r
#align ordnode.sized Ordnode.Sized
theorem Sized.node' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (node' l x r) :=
⟨rfl, hl, hr⟩
#align ordnode.sized.node' Ordnode.Sized.node'
theorem Sized.eq_node' {s l x r} (h : @Sized α (node s l x r)) : node s l x r = .node' l x r := by
rw [h.1]
#align ordnode.sized.eq_node' Ordnode.Sized.eq_node'
theorem Sized.size_eq {s l x r} (H : Sized (@node α s l x r)) :
size (@node α s l x r) = size l + size r + 1 :=
H.1
#align ordnode.sized.size_eq Ordnode.Sized.size_eq
@[elab_as_elim]
theorem Sized.induction {t} (hl : @Sized α t) {C : Ordnode α → Prop} (H0 : C nil)
(H1 : ∀ l x r, C l → C r → C (.node' l x r)) : C t := by
induction t with
| nil => exact H0
| node _ _ _ _ t_ih_l t_ih_r =>
rw [hl.eq_node']
exact H1 _ _ _ (t_ih_l hl.2.1) (t_ih_r hl.2.2)
#align ordnode.sized.induction Ordnode.Sized.induction
theorem size_eq_realSize : ∀ {t : Ordnode α}, Sized t → size t = realSize t
| nil, _ => rfl
| node s l x r, ⟨h₁, h₂, h₃⟩ => by
rw [size, h₁, size_eq_realSize h₂, size_eq_realSize h₃]; rfl
#align ordnode.size_eq_real_size Ordnode.size_eq_realSize
@[simp]
theorem Sized.size_eq_zero {t : Ordnode α} (ht : Sized t) : size t = 0 ↔ t = nil := by
cases t <;> [simp;simp [ht.1]]
#align ordnode.sized.size_eq_zero Ordnode.Sized.size_eq_zero
theorem Sized.pos {s l x r} (h : Sized (@node α s l x r)) : 0 < s := by
rw [h.1]; apply Nat.le_add_left
#align ordnode.sized.pos Ordnode.Sized.pos
theorem dual_dual : ∀ t : Ordnode α, dual (dual t) = t
| nil => rfl
| node s l x r => by rw [dual, dual, dual_dual l, dual_dual r]
#align ordnode.dual_dual Ordnode.dual_dual
@[simp]
theorem size_dual (t : Ordnode α) : size (dual t) = size t := by cases t <;> rfl
#align ordnode.size_dual Ordnode.size_dual
def BalancedSz (l r : ℕ) : Prop :=
l + r ≤ 1 ∨ l ≤ delta * r ∧ r ≤ delta * l
#align ordnode.balanced_sz Ordnode.BalancedSz
instance BalancedSz.dec : DecidableRel BalancedSz := fun _ _ => Or.decidable
#align ordnode.balanced_sz.dec Ordnode.BalancedSz.dec
def Balanced : Ordnode α → Prop
| nil => True
| node _ l _ r => BalancedSz (size l) (size r) ∧ Balanced l ∧ Balanced r
#align ordnode.balanced Ordnode.Balanced
instance Balanced.dec : DecidablePred (@Balanced α)
| nil => by
unfold Balanced
infer_instance
| node _ l _ r => by
unfold Balanced
haveI := Balanced.dec l
haveI := Balanced.dec r
infer_instance
#align ordnode.balanced.dec Ordnode.Balanced.dec
@[symm]
theorem BalancedSz.symm {l r : ℕ} : BalancedSz l r → BalancedSz r l :=
Or.imp (by rw [add_comm]; exact id) And.symm
#align ordnode.balanced_sz.symm Ordnode.BalancedSz.symm
theorem balancedSz_zero {l : ℕ} : BalancedSz l 0 ↔ l ≤ 1 := by
simp (config := { contextual := true }) [BalancedSz]
#align ordnode.balanced_sz_zero Ordnode.balancedSz_zero
theorem balancedSz_up {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ r₂ ≤ delta * l)
(H : BalancedSz l r₁) : BalancedSz l r₂ := by
refine or_iff_not_imp_left.2 fun h => ?_
refine ⟨?_, h₂.resolve_left h⟩
cases H with
| inl H =>
cases r₂
· cases h (le_trans (Nat.add_le_add_left (Nat.zero_le _) _) H)
· exact le_trans (le_trans (Nat.le_add_right _ _) H) (Nat.le_add_left 1 _)
| inr H =>
exact le_trans H.1 (Nat.mul_le_mul_left _ h₁)
#align ordnode.balanced_sz_up Ordnode.balancedSz_up
theorem balancedSz_down {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ l ≤ delta * r₁)
(H : BalancedSz l r₂) : BalancedSz l r₁ :=
have : l + r₂ ≤ 1 → BalancedSz l r₁ := fun H => Or.inl (le_trans (Nat.add_le_add_left h₁ _) H)
Or.casesOn H this fun H => Or.casesOn h₂ this fun h₂ => Or.inr ⟨h₂, le_trans h₁ H.2⟩
#align ordnode.balanced_sz_down Ordnode.balancedSz_down
theorem Balanced.dual : ∀ {t : Ordnode α}, Balanced t → Balanced (dual t)
| nil, _ => ⟨⟩
| node _ l _ r, ⟨b, bl, br⟩ => ⟨by rw [size_dual, size_dual]; exact b.symm, br.dual, bl.dual⟩
#align ordnode.balanced.dual Ordnode.Balanced.dual
def node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α :=
node' (node' l x m) y r
#align ordnode.node3_l Ordnode.node3L
def node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α :=
node' l x (node' m y r)
#align ordnode.node3_r Ordnode.node3R
def node4L : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r)
| l, x, nil, z, r => node3L l x nil z r
#align ordnode.node4_l Ordnode.node4L
-- should not happen
def node4R : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r)
| l, x, nil, z, r => node3R l x nil z r
#align ordnode.node4_r Ordnode.node4R
-- should not happen
def rotateL : Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ m y r => if size m < ratio * size r then node3L l x m y r else node4L l x m y r
| l, x, nil => node' l x nil
#align ordnode.rotate_l Ordnode.rotateL
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
theorem rotateL_node (l : Ordnode α) (x : α) (sz : ℕ) (m : Ordnode α) (y : α) (r : Ordnode α) :
rotateL l x (node sz m y r) =
if size m < ratio * size r then node3L l x m y r else node4L l x m y r :=
rfl
theorem rotateL_nil (l : Ordnode α) (x : α) : rotateL l x nil = node' l x nil :=
rfl
-- should not happen
def rotateR : Ordnode α → α → Ordnode α → Ordnode α
| node _ l x m, y, r => if size m < ratio * size l then node3R l x m y r else node4R l x m y r
| nil, y, r => node' nil y r
#align ordnode.rotate_r Ordnode.rotateR
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
theorem rotateR_node (sz : ℕ) (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
rotateR (node sz l x m) y r =
if size m < ratio * size l then node3R l x m y r else node4R l x m y r :=
rfl
theorem rotateR_nil (y : α) (r : Ordnode α) : rotateR nil y r = node' nil y r :=
rfl
-- should not happen
def balanceL' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else if size l > delta * size r then rotateR l x r else node' l x r
#align ordnode.balance_l' Ordnode.balanceL'
def balanceR' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else if size r > delta * size l then rotateL l x r else node' l x r
#align ordnode.balance_r' Ordnode.balanceR'
def balance' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else
if size r > delta * size l then rotateL l x r
else if size l > delta * size r then rotateR l x r else node' l x r
#align ordnode.balance' Ordnode.balance'
theorem dual_node' (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (node' l x r) = node' (dual r) x (dual l) := by simp [node', add_comm]
#align ordnode.dual_node' Ordnode.dual_node'
theorem dual_node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node3L l x m y r) = node3R (dual r) y (dual m) x (dual l) := by
simp [node3L, node3R, dual_node', add_comm]
#align ordnode.dual_node3_l Ordnode.dual_node3L
theorem dual_node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node3R l x m y r) = node3L (dual r) y (dual m) x (dual l) := by
simp [node3L, node3R, dual_node', add_comm]
#align ordnode.dual_node3_r Ordnode.dual_node3R
| Mathlib/Data/Ordmap/Ordset.lean | 326 | 328 | theorem dual_node4L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node4L l x m y r) = node4R (dual r) y (dual m) x (dual l) := by |
cases m <;> simp [node4L, node4R, node3R, dual_node3L, dual_node', add_comm]
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.NumberTheory.Bernoulli
#align_import number_theory.bernoulli_polynomials from "leanprover-community/mathlib"@"ca3d21f7f4fd613c2a3c54ac7871163e1e5ecb3a"
noncomputable section
open Nat Polynomial
open Nat Finset
namespace Polynomial
def bernoulli (n : ℕ) : ℚ[X] :=
∑ i ∈ range (n + 1), Polynomial.monomial (n - i) (_root_.bernoulli i * choose n i)
#align polynomial.bernoulli Polynomial.bernoulli
| Mathlib/NumberTheory/BernoulliPolynomials.lean | 57 | 63 | theorem bernoulli_def (n : ℕ) : bernoulli n =
∑ i ∈ range (n + 1), Polynomial.monomial i (_root_.bernoulli (n - i) * choose n i) := by |
rw [← sum_range_reflect, add_succ_sub_one, add_zero, bernoulli]
apply sum_congr rfl
rintro x hx
rw [mem_range_succ_iff] at hx
rw [choose_symm hx, tsub_tsub_cancel_of_le hx]
|
import Mathlib.NumberTheory.ModularForms.JacobiTheta.TwoVariable
import Mathlib.Analysis.Complex.UpperHalfPlane.Basic
#align_import number_theory.modular_forms.jacobi_theta.basic from "leanprover-community/mathlib"@"57f9349f2fe19d2de7207e99b0341808d977cdcf"
open Complex Real Asymptotics Filter Topology
open scoped Real UpperHalfPlane
noncomputable def jacobiTheta (τ : ℂ) : ℂ := ∑' n : ℤ, cexp (π * I * (n : ℂ) ^ 2 * τ)
#align jacobi_theta jacobiTheta
lemma jacobiTheta_eq_jacobiTheta₂ (τ : ℂ) : jacobiTheta τ = jacobiTheta₂ 0 τ :=
tsum_congr (by simp [jacobiTheta₂_term])
theorem jacobiTheta_two_add (τ : ℂ) : jacobiTheta (2 + τ) = jacobiTheta τ := by
simp_rw [jacobiTheta_eq_jacobiTheta₂, add_comm, jacobiTheta₂_add_right]
#align jacobi_theta_two_add jacobiTheta_two_add
theorem jacobiTheta_T_sq_smul (τ : ℍ) : jacobiTheta (ModularGroup.T ^ 2 • τ :) = jacobiTheta τ := by
suffices (ModularGroup.T ^ 2 • τ :) = (2 : ℂ) + ↑τ by simp_rw [this, jacobiTheta_two_add]
have : ModularGroup.T ^ (2 : ℕ) = ModularGroup.T ^ (2 : ℤ) := rfl
simp_rw [this, UpperHalfPlane.modular_T_zpow_smul, UpperHalfPlane.coe_vadd]
norm_cast
set_option linter.uppercaseLean3 false in
#align jacobi_theta_T_sq_smul jacobiTheta_T_sq_smul
theorem jacobiTheta_S_smul (τ : ℍ) :
jacobiTheta ↑(ModularGroup.S • τ) = (-I * τ) ^ (1 / 2 : ℂ) * jacobiTheta τ := by
have h0 : (τ : ℂ) ≠ 0 := ne_of_apply_ne im (zero_im.symm ▸ ne_of_gt τ.2)
have h1 : (-I * τ) ^ (1 / 2 : ℂ) ≠ 0 := by
rw [Ne, cpow_eq_zero_iff, not_and_or]
exact Or.inl <| mul_ne_zero (neg_ne_zero.mpr I_ne_zero) h0
simp_rw [UpperHalfPlane.modular_S_smul, jacobiTheta_eq_jacobiTheta₂]
conv_rhs => erw [← ofReal_zero, jacobiTheta₂_functional_equation 0 τ]
rw [zero_pow two_ne_zero, mul_zero, zero_div, Complex.exp_zero, mul_one, ← mul_assoc, mul_one_div,
div_self h1, one_mul, UpperHalfPlane.coe_mk, inv_neg, neg_div, one_div]
set_option linter.uppercaseLean3 false in
#align jacobi_theta_S_smul jacobiTheta_S_smul
| Mathlib/NumberTheory/ModularForms/JacobiTheta/OneVariable.lean | 58 | 72 | theorem norm_exp_mul_sq_le {τ : ℂ} (hτ : 0 < τ.im) (n : ℤ) :
‖cexp (π * I * (n : ℂ) ^ 2 * τ)‖ ≤ rexp (-π * τ.im) ^ n.natAbs := by |
let y := rexp (-π * τ.im)
have h : y < 1 := exp_lt_one_iff.mpr (mul_neg_of_neg_of_pos (neg_lt_zero.mpr pi_pos) hτ)
refine (le_of_eq ?_).trans (?_ : y ^ n ^ 2 ≤ _)
· rw [Complex.norm_eq_abs, Complex.abs_exp]
have : (π * I * n ^ 2 * τ : ℂ).re = -π * τ.im * (n : ℝ) ^ 2 := by
rw [(by push_cast; ring : (π * I * n ^ 2 * τ : ℂ) = (π * n ^ 2 : ℝ) * (τ * I)),
re_ofReal_mul, mul_I_re]
ring
obtain ⟨m, hm⟩ := Int.eq_ofNat_of_zero_le (sq_nonneg n)
rw [this, exp_mul, ← Int.cast_pow, rpow_intCast, hm, zpow_natCast]
· have : n ^ 2 = (n.natAbs ^ 2 :) := by rw [Nat.cast_pow, Int.natAbs_sq]
rw [this, zpow_natCast]
exact pow_le_pow_of_le_one (exp_pos _).le h.le ((sq n.natAbs).symm ▸ n.natAbs.le_mul_self)
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Reverse
import Mathlib.Algebra.Polynomial.Inductions
import Mathlib.RingTheory.Localization.Basic
#align_import data.polynomial.laurent from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
open Polynomial Function AddMonoidAlgebra Finsupp
noncomputable section
variable {R : Type*}
abbrev LaurentPolynomial (R : Type*) [Semiring R] :=
AddMonoidAlgebra R ℤ
#align laurent_polynomial LaurentPolynomial
@[nolint docBlame]
scoped[LaurentPolynomial] notation:9000 R "[T;T⁻¹]" => LaurentPolynomial R
open LaurentPolynomial
-- Porting note: `ext` no longer applies `Finsupp.ext` automatically
@[ext]
theorem LaurentPolynomial.ext [Semiring R] {p q : R[T;T⁻¹]} (h : ∀ a, p a = q a) : p = q :=
Finsupp.ext h
def Polynomial.toLaurent [Semiring R] : R[X] →+* R[T;T⁻¹] :=
(mapDomainRingHom R Int.ofNatHom).comp (toFinsuppIso R)
#align polynomial.to_laurent Polynomial.toLaurent
theorem Polynomial.toLaurent_apply [Semiring R] (p : R[X]) :
toLaurent p = p.toFinsupp.mapDomain (↑) :=
rfl
#align polynomial.to_laurent_apply Polynomial.toLaurent_apply
def Polynomial.toLaurentAlg [CommSemiring R] : R[X] →ₐ[R] R[T;T⁻¹] :=
(mapDomainAlgHom R R Int.ofNatHom).comp (toFinsuppIsoAlg R).toAlgHom
#align polynomial.to_laurent_alg Polynomial.toLaurentAlg
@[simp] lemma Polynomial.coe_toLaurentAlg [CommSemiring R] :
(toLaurentAlg : R[X] → R[T;T⁻¹]) = toLaurent :=
rfl
theorem Polynomial.toLaurentAlg_apply [CommSemiring R] (f : R[X]) : toLaurentAlg f = toLaurent f :=
rfl
#align polynomial.to_laurent_alg_apply Polynomial.toLaurentAlg_apply
namespace LaurentPolynomial
section Semiring
variable [Semiring R]
theorem single_zero_one_eq_one : (Finsupp.single 0 1 : R[T;T⁻¹]) = (1 : R[T;T⁻¹]) :=
rfl
#align laurent_polynomial.single_zero_one_eq_one LaurentPolynomial.single_zero_one_eq_one
def C : R →+* R[T;T⁻¹] :=
singleZeroRingHom
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.C LaurentPolynomial.C
theorem algebraMap_apply {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (r : R) :
algebraMap R (LaurentPolynomial A) r = C (algebraMap R A r) :=
rfl
#align laurent_polynomial.algebra_map_apply LaurentPolynomial.algebraMap_apply
theorem C_eq_algebraMap {R : Type*} [CommSemiring R] (r : R) : C r = algebraMap R R[T;T⁻¹] r :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.C_eq_algebra_map LaurentPolynomial.C_eq_algebraMap
theorem single_eq_C (r : R) : Finsupp.single 0 r = C r := rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.single_eq_C LaurentPolynomial.single_eq_C
@[simp] lemma C_apply (t : R) (n : ℤ) : C t n = if n = 0 then t else 0 := by
rw [← single_eq_C, Finsupp.single_apply]; aesop
def T (n : ℤ) : R[T;T⁻¹] :=
Finsupp.single n 1
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T LaurentPolynomial.T
@[simp] lemma T_apply (m n : ℤ) : (T n : R[T;T⁻¹]) m = if n = m then 1 else 0 :=
Finsupp.single_apply
@[simp]
theorem T_zero : (T 0 : R[T;T⁻¹]) = 1 :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_zero LaurentPolynomial.T_zero
theorem T_add (m n : ℤ) : (T (m + n) : R[T;T⁻¹]) = T m * T n := by
-- Porting note: was `convert single_mul_single.symm`
simp [T, single_mul_single]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_add LaurentPolynomial.T_add
theorem T_sub (m n : ℤ) : (T (m - n) : R[T;T⁻¹]) = T m * T (-n) := by rw [← T_add, sub_eq_add_neg]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_sub LaurentPolynomial.T_sub
@[simp]
theorem T_pow (m : ℤ) (n : ℕ) : (T m ^ n : R[T;T⁻¹]) = T (n * m) := by
rw [T, T, single_pow n, one_pow, nsmul_eq_mul]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_pow LaurentPolynomial.T_pow
@[simp]
theorem mul_T_assoc (f : R[T;T⁻¹]) (m n : ℤ) : f * T m * T n = f * T (m + n) := by
simp [← T_add, mul_assoc]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.mul_T_assoc LaurentPolynomial.mul_T_assoc
@[simp]
theorem single_eq_C_mul_T (r : R) (n : ℤ) :
(Finsupp.single n r : R[T;T⁻¹]) = (C r * T n : R[T;T⁻¹]) := by
-- Porting note: was `convert single_mul_single.symm`
simp [C, T, single_mul_single]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.single_eq_C_mul_T LaurentPolynomial.single_eq_C_mul_T
-- This lemma locks in the right changes and is what Lean proved directly.
-- The actual `simp`-normal form of a Laurent monomial is `C a * T n`, whenever it can be reached.
@[simp]
theorem _root_.Polynomial.toLaurent_C_mul_T (n : ℕ) (r : R) :
(toLaurent (Polynomial.monomial n r) : R[T;T⁻¹]) = C r * T n :=
show Finsupp.mapDomain (↑) (monomial n r).toFinsupp = (C r * T n : R[T;T⁻¹]) by
rw [toFinsupp_monomial, Finsupp.mapDomain_single, single_eq_C_mul_T]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C_mul_T Polynomial.toLaurent_C_mul_T
@[simp]
theorem _root_.Polynomial.toLaurent_C (r : R) : toLaurent (Polynomial.C r) = C r := by
convert Polynomial.toLaurent_C_mul_T 0 r
simp only [Int.ofNat_zero, T_zero, mul_one]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C Polynomial.toLaurent_C
@[simp]
theorem _root_.Polynomial.toLaurent_comp_C : toLaurent (R := R) ∘ Polynomial.C = C :=
funext Polynomial.toLaurent_C
@[simp]
theorem _root_.Polynomial.toLaurent_X : (toLaurent Polynomial.X : R[T;T⁻¹]) = T 1 := by
have : (Polynomial.X : R[X]) = monomial 1 1 := by simp [← C_mul_X_pow_eq_monomial]
simp [this, Polynomial.toLaurent_C_mul_T]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_X Polynomial.toLaurent_X
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_one : (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) 1 = 1 :=
map_one Polynomial.toLaurent
#align polynomial.to_laurent_one Polynomial.toLaurent_one
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_C_mul_eq (r : R) (f : R[X]) :
toLaurent (Polynomial.C r * f) = C r * toLaurent f := by
simp only [_root_.map_mul, Polynomial.toLaurent_C]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C_mul_eq Polynomial.toLaurent_C_mul_eq
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_X_pow (n : ℕ) : toLaurent (X ^ n : R[X]) = T n := by
simp only [map_pow, Polynomial.toLaurent_X, T_pow, mul_one]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_X_pow Polynomial.toLaurent_X_pow
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_C_mul_X_pow (n : ℕ) (r : R) :
toLaurent (Polynomial.C r * X ^ n) = C r * T n := by
simp only [_root_.map_mul, Polynomial.toLaurent_C, Polynomial.toLaurent_X_pow]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C_mul_X_pow Polynomial.toLaurent_C_mul_X_pow
instance invertibleT (n : ℤ) : Invertible (T n : R[T;T⁻¹]) where
invOf := T (-n)
invOf_mul_self := by rw [← T_add, add_left_neg, T_zero]
mul_invOf_self := by rw [← T_add, add_right_neg, T_zero]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.invertible_T LaurentPolynomial.invertibleT
@[simp]
theorem invOf_T (n : ℤ) : ⅟ (T n : R[T;T⁻¹]) = T (-n) :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.inv_of_T LaurentPolynomial.invOf_T
theorem isUnit_T (n : ℤ) : IsUnit (T n : R[T;T⁻¹]) :=
isUnit_of_invertible _
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.is_unit_T LaurentPolynomial.isUnit_T
@[elab_as_elim]
protected theorem induction_on {M : R[T;T⁻¹] → Prop} (p : R[T;T⁻¹]) (h_C : ∀ a, M (C a))
(h_add : ∀ {p q}, M p → M q → M (p + q))
(h_C_mul_T : ∀ (n : ℕ) (a : R), M (C a * T n) → M (C a * T (n + 1)))
(h_C_mul_T_Z : ∀ (n : ℕ) (a : R), M (C a * T (-n)) → M (C a * T (-n - 1))) : M p := by
have A : ∀ {n : ℤ} {a : R}, M (C a * T n) := by
intro n a
refine Int.induction_on n ?_ ?_ ?_
· simpa only [T_zero, mul_one] using h_C a
· exact fun m => h_C_mul_T m a
· exact fun m => h_C_mul_T_Z m a
have B : ∀ s : Finset ℤ, M (s.sum fun n : ℤ => C (p.toFun n) * T n) := by
apply Finset.induction
· convert h_C 0
simp only [Finset.sum_empty, _root_.map_zero]
· intro n s ns ih
rw [Finset.sum_insert ns]
exact h_add A ih
convert B p.support
ext a
simp_rw [← single_eq_C_mul_T]
-- Porting note: did not make progress in `simp_rw`
rw [Finset.sum_apply']
simp_rw [Finsupp.single_apply, Finset.sum_ite_eq']
split_ifs with h
· rfl
· exact Finsupp.not_mem_support_iff.mp h
#align laurent_polynomial.induction_on LaurentPolynomial.induction_on
@[elab_as_elim]
protected theorem induction_on' {M : R[T;T⁻¹] → Prop} (p : R[T;T⁻¹])
(h_add : ∀ p q, M p → M q → M (p + q)) (h_C_mul_T : ∀ (n : ℤ) (a : R), M (C a * T n)) :
M p := by
refine p.induction_on (fun a => ?_) (fun {p q} => h_add p q) ?_ ?_ <;>
try exact fun n f _ => h_C_mul_T _ f
convert h_C_mul_T 0 a
exact (mul_one _).symm
#align laurent_polynomial.induction_on' LaurentPolynomial.induction_on'
theorem commute_T (n : ℤ) (f : R[T;T⁻¹]) : Commute (T n) f :=
f.induction_on' (fun p q Tp Tq => Commute.add_right Tp Tq) fun m a =>
show T n * _ = _ by
rw [T, T, ← single_eq_C, single_mul_single, single_mul_single, single_mul_single]
simp [add_comm]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.commute_T LaurentPolynomial.commute_T
@[simp]
theorem T_mul (n : ℤ) (f : R[T;T⁻¹]) : T n * f = f * T n :=
(commute_T n f).eq
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_mul LaurentPolynomial.T_mul
def trunc : R[T;T⁻¹] →+ R[X] :=
(toFinsuppIso R).symm.toAddMonoidHom.comp <| comapDomain.addMonoidHom fun _ _ => Int.ofNat.inj
#align laurent_polynomial.trunc LaurentPolynomial.trunc
@[simp]
theorem trunc_C_mul_T (n : ℤ) (r : R) : trunc (C r * T n) = ite (0 ≤ n) (monomial n.toNat r) 0 := by
apply (toFinsuppIso R).injective
rw [← single_eq_C_mul_T, trunc, AddMonoidHom.coe_comp, Function.comp_apply]
-- Porting note (#10691): was `rw`
erw [comapDomain.addMonoidHom_apply Int.ofNat_injective]
rw [toFinsuppIso_apply]
-- Porting note: rewrote proof below relative to mathlib3.
by_cases n0 : 0 ≤ n
· lift n to ℕ using n0
erw [comapDomain_single]
simp only [Nat.cast_nonneg, Int.toNat_ofNat, ite_true, toFinsupp_monomial]
· lift -n to ℕ using (neg_pos.mpr (not_le.mp n0)).le with m
rw [toFinsupp_inj, if_neg n0]
ext a
have := ((not_le.mp n0).trans_le (Int.ofNat_zero_le a)).ne
simp only [coeff_ofFinsupp, comapDomain_apply, Int.ofNat_eq_coe, coeff_zero,
single_eq_of_ne this]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.trunc_C_mul_T LaurentPolynomial.trunc_C_mul_T
@[simp]
theorem leftInverse_trunc_toLaurent :
Function.LeftInverse (trunc : R[T;T⁻¹] → R[X]) Polynomial.toLaurent := by
refine fun f => f.induction_on' ?_ ?_
· intro f g hf hg
simp only [hf, hg, _root_.map_add]
· intro n r
simp only [Polynomial.toLaurent_C_mul_T, trunc_C_mul_T, Int.natCast_nonneg, Int.toNat_natCast,
if_true]
#align laurent_polynomial.left_inverse_trunc_to_laurent LaurentPolynomial.leftInverse_trunc_toLaurent
@[simp]
theorem _root_.Polynomial.trunc_toLaurent (f : R[X]) : trunc (toLaurent f) = f :=
leftInverse_trunc_toLaurent _
#align polynomial.trunc_to_laurent Polynomial.trunc_toLaurent
theorem _root_.Polynomial.toLaurent_injective :
Function.Injective (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) :=
leftInverse_trunc_toLaurent.injective
#align polynomial.to_laurent_injective Polynomial.toLaurent_injective
@[simp]
theorem _root_.Polynomial.toLaurent_inj (f g : R[X]) : toLaurent f = toLaurent g ↔ f = g :=
⟨fun h => Polynomial.toLaurent_injective h, congr_arg _⟩
#align polynomial.to_laurent_inj Polynomial.toLaurent_inj
theorem _root_.Polynomial.toLaurent_ne_zero {f : R[X]} : f ≠ 0 ↔ toLaurent f ≠ 0 :=
(map_ne_zero_iff _ Polynomial.toLaurent_injective).symm
#align polynomial.to_laurent_ne_zero Polynomial.toLaurent_ne_zero
theorem exists_T_pow (f : R[T;T⁻¹]) : ∃ (n : ℕ) (f' : R[X]), toLaurent f' = f * T n := by
refine f.induction_on' ?_ fun n a => ?_ <;> clear f
· rintro f g ⟨m, fn, hf⟩ ⟨n, gn, hg⟩
refine ⟨m + n, fn * X ^ n + gn * X ^ m, ?_⟩
simp only [hf, hg, add_mul, add_comm (n : ℤ), map_add, map_mul, Polynomial.toLaurent_X_pow,
mul_T_assoc, Int.ofNat_add]
· cases' n with n n
· exact ⟨0, Polynomial.C a * X ^ n, by simp⟩
· refine ⟨n + 1, Polynomial.C a, ?_⟩
simp only [Int.negSucc_eq, Polynomial.toLaurent_C, Int.ofNat_succ, mul_T_assoc, add_left_neg,
T_zero, mul_one]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.exists_T_pow LaurentPolynomial.exists_T_pow
@[elab_as_elim]
theorem induction_on_mul_T {Q : R[T;T⁻¹] → Prop} (f : R[T;T⁻¹])
(Qf : ∀ {f : R[X]} {n : ℕ}, Q (toLaurent f * T (-n))) : Q f := by
rcases f.exists_T_pow with ⟨n, f', hf⟩
rw [← mul_one f, ← T_zero, ← Nat.cast_zero, ← Nat.sub_self n, Nat.cast_sub rfl.le, T_sub,
← mul_assoc, ← hf]
exact Qf
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.induction_on_mul_T LaurentPolynomial.induction_on_mul_T
theorem reduce_to_polynomial_of_mul_T (f : R[T;T⁻¹]) {Q : R[T;T⁻¹] → Prop}
(Qf : ∀ f : R[X], Q (toLaurent f)) (QT : ∀ f, Q (f * T 1) → Q f) : Q f := by
induction' f using LaurentPolynomial.induction_on_mul_T with f n
induction' n with n hn
· simpa only [Nat.zero_eq, Nat.cast_zero, neg_zero, T_zero, mul_one] using Qf _
· convert QT _ _
simpa using hn
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.reduce_to_polynomial_of_mul_T LaurentPolynomial.reduce_to_polynomial_of_mul_T
section Degrees
def degree (f : R[T;T⁻¹]) : WithBot ℤ :=
f.support.max
#align laurent_polynomial.degree LaurentPolynomial.degree
@[simp]
theorem degree_zero : degree (0 : R[T;T⁻¹]) = ⊥ :=
rfl
#align laurent_polynomial.degree_zero LaurentPolynomial.degree_zero
@[simp]
theorem degree_eq_bot_iff {f : R[T;T⁻¹]} : f.degree = ⊥ ↔ f = 0 := by
refine ⟨fun h => ?_, fun h => by rw [h, degree_zero]⟩
rw [degree, Finset.max_eq_sup_withBot] at h
ext n
refine not_not.mp fun f0 => ?_
simp_rw [Finset.sup_eq_bot_iff, Finsupp.mem_support_iff, Ne, WithBot.coe_ne_bot] at h
exact h n f0
#align laurent_polynomial.degree_eq_bot_iff LaurentPolynomial.degree_eq_bot_iff
section ExactDegrees
@[simp]
theorem degree_C_mul_T (n : ℤ) (a : R) (a0 : a ≠ 0) : degree (C a * T n) = n := by
rw [degree]
-- Porting note: was `convert Finset.max_singleton`
have : Finsupp.support (C a * T n) = {n} := by
refine support_eq_singleton.mpr ?_
rw [← single_eq_C_mul_T]
simp only [single_eq_same, a0, Ne, not_false_iff, eq_self_iff_true, and_self_iff]
rw [this]
exact Finset.max_singleton
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.degree_C_mul_T LaurentPolynomial.degree_C_mul_T
theorem degree_C_mul_T_ite [DecidableEq R] (n : ℤ) (a : R) :
degree (C a * T n) = if a = 0 then ⊥ else ↑n := by
split_ifs with h <;>
simp only [h, map_zero, zero_mul, degree_zero, degree_C_mul_T, Ne,
not_false_iff]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.degree_C_mul_T_ite LaurentPolynomial.degree_C_mul_T_ite
@[simp]
theorem degree_T [Nontrivial R] (n : ℤ) : (T n : R[T;T⁻¹]).degree = n := by
rw [← one_mul (T n), ← map_one C]
exact degree_C_mul_T n 1 (one_ne_zero : (1 : R) ≠ 0)
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.degree_T LaurentPolynomial.degree_T
| Mathlib/Algebra/Polynomial/Laurent.lean | 537 | 539 | theorem degree_C {a : R} (a0 : a ≠ 0) : (C a).degree = 0 := by |
rw [← mul_one (C a), ← T_zero]
exact degree_C_mul_T 0 a a0
|
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
open Monoid Coprod Multiplicative Subgroup Function
def HNNExtension.con (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) :
Con (G ∗ Multiplicative ℤ) :=
conGen (fun x y => ∃ (a : A),
x = inr (ofAdd 1) * inl (a : G) ∧
y = inl (φ a : G) * inr (ofAdd 1))
def HNNExtension (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Type _ :=
(HNNExtension.con G A B φ).Quotient
variable {G : Type*} [Group G] {A B : Subgroup G} {φ : A ≃* B} {H : Type*}
[Group H] {M : Type*} [Monoid M]
instance : Group (HNNExtension G A B φ) := by
delta HNNExtension; infer_instance
namespace HNNExtension
def of : G →* HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inl
def t : HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inr (ofAdd 1)
theorem t_mul_of (a : A) :
t * (of (a : G) : HNNExtension G A B φ) = of (φ a : G) * t :=
(Con.eq _).2 <| ConGen.Rel.of _ _ <| ⟨a, by simp⟩
theorem of_mul_t (b : B) :
(of (b : G) : HNNExtension G A B φ) * t = t * of (φ.symm b : G) := by
rw [t_mul_of]; simp
theorem equiv_eq_conj (a : A) :
(of (φ a : G) : HNNExtension G A B φ) = t * of (a : G) * t⁻¹ := by
rw [t_mul_of]; simp
theorem equiv_symm_eq_conj (b : B) :
(of (φ.symm b : G) : HNNExtension G A B φ) = t⁻¹ * of (b : G) * t := by
rw [mul_assoc, of_mul_t]; simp
theorem inv_t_mul_of (b : B) :
t⁻¹ * (of (b : G) : HNNExtension G A B φ) = of (φ.symm b : G) * t⁻¹ := by
rw [equiv_symm_eq_conj]; simp
theorem of_mul_inv_t (a : A) :
(of (a : G) : HNNExtension G A B φ) * t⁻¹ = t⁻¹ * of (φ a : G) := by
rw [equiv_eq_conj]; simp [mul_assoc]
def lift (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
HNNExtension G A B φ →* H :=
Con.lift _ (Coprod.lift f (zpowersHom H x)) (Con.conGen_le <| by
rintro _ _ ⟨a, rfl, rfl⟩
simp [hx])
@[simp]
theorem lift_t (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
lift f x hx t = x := by
delta HNNExtension; simp [lift, t]
@[simp]
theorem lift_of (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) (g : G) :
lift f x hx (of g) = f g := by
delta HNNExtension; simp [lift, of]
@[ext high]
theorem hom_ext {f g : HNNExtension G A B φ →* M}
(hg : f.comp of = g.comp of) (ht : f t = g t) : f = g :=
(MonoidHom.cancel_right Con.mk'_surjective).mp <|
Coprod.hom_ext hg (MonoidHom.ext_mint ht)
@[elab_as_elim]
theorem induction_on {motive : HNNExtension G A B φ → Prop}
(x : HNNExtension G A B φ) (of : ∀ g, motive (of g))
(t : motive t) (mul : ∀ x y, motive x → motive y → motive (x * y))
(inv : ∀ x, motive x → motive x⁻¹) : motive x := by
let S : Subgroup (HNNExtension G A B φ) :=
{ carrier := setOf motive
one_mem' := by simpa using of 1
mul_mem' := mul _ _
inv_mem' := inv _ }
let f : HNNExtension G A B φ →* S :=
lift (HNNExtension.of.codRestrict S of)
⟨HNNExtension.t, t⟩ (by intro a; ext; simp [equiv_eq_conj, mul_assoc])
have hf : S.subtype.comp f = MonoidHom.id _ :=
hom_ext (by ext; simp [f]) (by simp [f])
show motive (MonoidHom.id _ x)
rw [← hf]
exact (f x).2
variable (A B φ)
def toSubgroup (u : ℤˣ) : Subgroup G :=
if u = 1 then A else B
@[simp]
theorem toSubgroup_one : toSubgroup A B 1 = A := rfl
@[simp]
theorem toSubgroup_neg_one : toSubgroup A B (-1) = B := rfl
variable {A B}
def toSubgroupEquiv (u : ℤˣ) : toSubgroup A B u ≃* toSubgroup A B (-u) :=
if hu : u = 1 then hu ▸ φ else by
convert φ.symm <;>
cases Int.units_eq_one_or u <;> simp_all
@[simp]
theorem toSubgroupEquiv_one : toSubgroupEquiv φ 1 = φ := rfl
@[simp]
theorem toSubgroupEquiv_neg_one : toSubgroupEquiv φ (-1) = φ.symm := rfl
@[simp]
theorem toSubgroupEquiv_neg_apply (u : ℤˣ) (a : toSubgroup A B u) :
(toSubgroupEquiv φ (-u) (toSubgroupEquiv φ u a) : G) = a := by
rcases Int.units_eq_one_or u with rfl | rfl
· -- This used to be `simp` before leanprover/lean4#2644
simp; erw [MulEquiv.symm_apply_apply]
· simp only [toSubgroup_neg_one, toSubgroupEquiv_neg_one, SetLike.coe_eq_coe]
exact φ.apply_symm_apply a
namespace NormalWord
variable (G A B)
structure TransversalPair : Type _ :=
set : ℤˣ → Set G
compl : ∀ u, IsComplement (toSubgroup A B u : Subgroup G) (set u)
instance TransversalPair.nonempty : Nonempty (TransversalPair G A B) := by
choose t ht using fun u ↦ (toSubgroup A B u).exists_right_transversal 1
exact ⟨⟨t, fun i ↦ (ht i).1⟩⟩
structure ReducedWord : Type _ :=
head : G
toList : List (ℤˣ × G)
chain : toList.Chain' (fun a b => a.2 ∈ toSubgroup A B a.1 → a.1 = b.1)
@[simps]
def ReducedWord.empty : ReducedWord G A B :=
{ head := 1
toList := []
chain := List.chain'_nil }
variable {G A B}
def ReducedWord.prod : ReducedWord G A B → HNNExtension G A B φ :=
fun w => of w.head * (w.toList.map (fun x => t ^ (x.1 : ℤ) * of x.2)).prod
structure _root_.HNNExtension.NormalWord (d : TransversalPair G A B)
extends ReducedWord G A B : Type _ :=
mem_set : ∀ (u : ℤˣ) (g : G), (u, g) ∈ toList → g ∈ d.set u
variable {d : TransversalPair G A B}
@[ext]
theorem ext {w w' : NormalWord d}
(h1 : w.head = w'.head) (h2 : w.toList = w'.toList): w = w' := by
rcases w with ⟨⟨⟩, _⟩; cases w'; simp_all
@[simps]
def empty : NormalWord d :=
{ head := 1
toList := []
mem_set := by simp
chain := List.chain'_nil }
@[simps]
def ofGroup (g : G) : NormalWord d :=
{ head := g
toList := []
mem_set := by simp
chain := List.chain'_nil }
instance : Inhabited (NormalWord d) := ⟨empty⟩
instance : MulAction G (NormalWord d) :=
{ smul := fun g w => { w with head := g * w.head }
one_smul := by simp [instHSMul]
mul_smul := by simp [instHSMul, mul_assoc] }
theorem group_smul_def (g : G) (w : NormalWord d) :
g • w = { w with head := g * w.head } := rfl
@[simp]
theorem group_smul_head (g : G) (w : NormalWord d) : (g • w).head = g * w.head := rfl
@[simp]
theorem group_smul_toList (g : G) (w : NormalWord d) : (g • w).toList = w.toList := rfl
instance : FaithfulSMul G (NormalWord d) := ⟨by simp [group_smul_def]⟩
@[simps]
def cons (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') :
NormalWord d :=
{ head := g,
toList := (u, w.head) :: w.toList,
mem_set := by
intro u' g' h'
simp only [List.mem_cons, Prod.mk.injEq] at h'
rcases h' with ⟨rfl, rfl⟩ | h'
· exact h1
· exact w.mem_set _ _ h'
chain := by
refine List.chain'_cons'.2 ⟨?_, w.chain⟩
rintro ⟨u', g'⟩ hu' hw1
exact h2 _ (by simp_all) hw1 }
@[elab_as_elim]
def consRecOn {motive : NormalWord d → Sort*} (w : NormalWord d)
(ofGroup : ∀g, motive (ofGroup g))
(cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?,
w.head ∈ toSubgroup A B u → u = u'),
motive w → motive (cons g u w h1 h2)) : motive w := by
rcases w with ⟨⟨g, l, chain⟩, mem_set⟩
induction l generalizing g with
| nil => exact ofGroup _
| cons a l ih =>
exact cons g a.1
{ head := a.2
toList := l
mem_set := fun _ _ h => mem_set _ _ (List.mem_cons_of_mem _ h),
chain := (List.chain'_cons'.1 chain).2 }
(mem_set a.1 a.2 (List.mem_cons_self _ _))
(by simpa using (List.chain'_cons'.1 chain).1)
(ih _ _ _)
@[simp]
theorem consRecOn_ofGroup {motive : NormalWord d → Sort*}
(g : G) (ofGroup : ∀g, motive (ofGroup g))
(cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head
∈ toSubgroup A B u → u = u'),
motive w → motive (cons g u w h1 h2)) :
consRecOn (.ofGroup g) ofGroup cons = ofGroup g := rfl
@[simp]
theorem consRecOn_cons {motive : NormalWord d → Sort*}
(g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u')
(ofGroup : ∀g, motive (ofGroup g))
(cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?,
w.head ∈ toSubgroup A B u → u = u'),
motive w → motive (cons g u w h1 h2)) :
consRecOn (.cons g u w h1 h2) ofGroup cons = cons g u w h1 h2
(consRecOn w ofGroup cons) := rfl
@[simp]
theorem smul_cons (g₁ g₂ : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') :
g₁ • cons g₂ u w h1 h2 = cons (g₁ * g₂) u w h1 h2 :=
rfl
@[simp]
theorem smul_ofGroup (g₁ g₂ : G) :
g₁ • (ofGroup g₂ : NormalWord d) = ofGroup (g₁ * g₂) := rfl
variable (d)
noncomputable def unitsSMulGroup (u : ℤˣ) (g : G) :
(toSubgroup A B (-u)) × d.set u :=
let g' := (d.compl u).equiv g
(toSubgroupEquiv φ u g'.1, g'.2)
theorem unitsSMulGroup_snd (u : ℤˣ) (g : G) :
(unitsSMulGroup φ d u g).2 = ((d.compl u).equiv g).2 := by
rcases Int.units_eq_one_or u with rfl | rfl <;> rfl
variable {d} [DecidableEq G]
def Cancels (u : ℤˣ) (w : NormalWord d) : Prop :=
(w.head ∈ (toSubgroup A B u : Subgroup G)) ∧ w.toList.head?.map Prod.fst = some (-u)
def unitsSMulWithCancel (u : ℤˣ) (w : NormalWord d) : Cancels u w → NormalWord d :=
consRecOn w
(by simp [Cancels, ofGroup]; tauto)
(fun g u' w h1 h2 _ can =>
(toSubgroupEquiv φ u ⟨g, can.1⟩ : G) • w)
noncomputable def unitsSMul (u : ℤˣ) (w : NormalWord d) : NormalWord d :=
letI := Classical.dec
if h : Cancels u w
then unitsSMulWithCancel φ u w h
else let g' := unitsSMulGroup φ d u w.head
cons g'.1 u ((g'.2 * w.head⁻¹ : G) • w)
(by simp)
(by
simp only [g', group_smul_toList, Option.mem_def, Option.map_eq_some', Prod.exists,
exists_and_right, exists_eq_right, group_smul_head, inv_mul_cancel_right,
forall_exists_index, unitsSMulGroup]
simp only [Cancels, Option.map_eq_some', Prod.exists, exists_and_right, exists_eq_right,
not_and, not_exists] at h
intro u' x hx hmem
have : w.head ∈ toSubgroup A B u := by
have := (d.compl u).rightCosetEquivalence_equiv_snd w.head
rw [RightCosetEquivalence, rightCoset_eq_iff, mul_mem_cancel_left hmem] at this
simp_all
have := h this x
simp_all [Int.units_ne_iff_eq_neg])
theorem not_cancels_of_cons_hyp (u : ℤˣ) (w : NormalWord d)
(h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?,
w.head ∈ toSubgroup A B u → u = u') :
¬ Cancels u w := by
simp only [Cancels, Option.map_eq_some', Prod.exists,
exists_and_right, exists_eq_right, not_and, not_exists]
intro hw x hx
rw [hx] at h2
simpa using h2 (-u) rfl hw
theorem unitsSMul_cancels_iff (u : ℤˣ) (w : NormalWord d) :
Cancels (-u) (unitsSMul φ u w) ↔ ¬ Cancels u w := by
by_cases h : Cancels u w
· simp only [unitsSMul, h, dite_true, not_true_eq_false, iff_false]
induction w using consRecOn with
| ofGroup => simp [Cancels, unitsSMulWithCancel]
| cons g u' w h1 h2 _ =>
intro hc
apply not_cancels_of_cons_hyp _ _ h2
simp only [Cancels, cons_head, cons_toList, List.head?_cons,
Option.map_some', Option.some.injEq] at h
cases h.2
simpa [Cancels, unitsSMulWithCancel,
Subgroup.mul_mem_cancel_left] using hc
· simp only [unitsSMul, dif_neg h]
simpa [Cancels] using h
theorem unitsSMul_neg (u : ℤˣ) (w : NormalWord d) :
unitsSMul φ (-u) (unitsSMul φ u w) = w := by
rw [unitsSMul]
split_ifs with hcan
· have hncan : ¬ Cancels u w := (unitsSMul_cancels_iff _ _ _).1 hcan
unfold unitsSMul
simp only [dif_neg hncan]
simp [unitsSMulWithCancel, unitsSMulGroup, (d.compl u).equiv_snd_eq_inv_mul]
-- This used to be the end of the proof before leanprover/lean4#2644
erw [(d.compl u).equiv_snd_eq_inv_mul]
simp
· have hcan2 : Cancels u w := not_not.1 (mt (unitsSMul_cancels_iff _ _ _).2 hcan)
unfold unitsSMul at hcan ⊢
simp only [dif_pos hcan2] at hcan ⊢
cases w using consRecOn with
| ofGroup => simp [Cancels] at hcan2
| cons g u' w h1 h2 ih =>
clear ih
simp only [unitsSMulGroup, SetLike.coe_sort_coe, unitsSMulWithCancel, id_eq, consRecOn_cons,
group_smul_head, IsComplement.equiv_mul_left, map_mul, Submonoid.coe_mul, coe_toSubmonoid,
toSubgroupEquiv_neg_apply, mul_inv_rev]
cases hcan2.2
have : ((d.compl (-u)).equiv w.head).1 = 1 :=
(d.compl (-u)).equiv_fst_eq_one_of_mem_of_one_mem _ h1
apply NormalWord.ext
· -- This used to `simp [this]` before leanprover/lean4#2644
dsimp
conv_lhs => erw [IsComplement.equiv_mul_left]
rw [map_mul, Submonoid.coe_mul, toSubgroupEquiv_neg_apply, this]
simp
· -- The next two lines were not needed before leanprover/lean4#2644
dsimp
conv_lhs => erw [IsComplement.equiv_mul_left]
simp [mul_assoc, Units.ext_iff, (d.compl (-u)).equiv_snd_eq_inv_mul, this]
-- The next two lines were not needed before leanprover/lean4#2644
erw [(d.compl (-u)).equiv_snd_eq_inv_mul, this]
simp
@[simps]
noncomputable def unitsSMulEquiv : NormalWord d ≃ NormalWord d :=
{ toFun := unitsSMul φ 1
invFun := unitsSMul φ (-1),
left_inv := fun _ => by rw [unitsSMul_neg]
right_inv := fun w => by convert unitsSMul_neg _ _ w; simp }
theorem unitsSMul_one_group_smul (g : A) (w : NormalWord d) :
unitsSMul φ 1 ((g : G) • w) = (φ g : G) • (unitsSMul φ 1 w) := by
unfold unitsSMul
have : Cancels 1 ((g : G) • w) ↔ Cancels 1 w := by
simp [Cancels, Subgroup.mul_mem_cancel_left]
by_cases hcan : Cancels 1 w
· simp [unitsSMulWithCancel, dif_pos (this.2 hcan), dif_pos hcan]
cases w using consRecOn
· simp [Cancels] at hcan
· simp only [smul_cons, consRecOn_cons, mul_smul]
rw [← mul_smul, ← Subgroup.coe_mul, ← map_mul φ]
rfl
· rw [dif_neg (mt this.1 hcan), dif_neg hcan]
simp [← mul_smul, mul_assoc, unitsSMulGroup]
-- This used to be the end of the proof before leanprover/lean4#2644
dsimp
congr 1
· conv_lhs => erw [IsComplement.equiv_mul_left]
simp? says
simp only [toSubgroup_one, SetLike.coe_sort_coe, map_mul, Submonoid.coe_mul,
coe_toSubmonoid]
conv_lhs => erw [IsComplement.equiv_mul_left]
rfl
noncomputable instance : MulAction (HNNExtension G A B φ) (NormalWord d) :=
MulAction.ofEndHom <| (MulAction.toEndHom (M := Equiv.Perm (NormalWord d))).comp
(HNNExtension.lift (MulAction.toPermHom _ _) (unitsSMulEquiv φ) <| by
intro a
ext : 1
simp [unitsSMul_one_group_smul])
@[simp]
theorem prod_group_smul (g : G) (w : NormalWord d) :
(g • w).prod φ = of g * (w.prod φ) := by
simp [ReducedWord.prod, smul_def, mul_assoc]
| Mathlib/GroupTheory/HNNExtension.lean | 494 | 496 | theorem of_smul_eq_smul (g : G) (w : NormalWord d) :
(of g : HNNExtension G A B φ) • w = g • w := by |
simp [instHSMul, SMul.smul, MulAction.toEndHom]
|
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Iterate
import Mathlib.Order.SemiconjSup
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Order.MonotoneContinuity
#align_import dynamics.circle.rotation_number.translation_number from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open scoped Classical
open Filter Set Int Topology
open Function hiding Commute
structure CircleDeg1Lift extends ℝ →o ℝ : Type where
map_add_one' : ∀ x, toFun (x + 1) = toFun x + 1
#align circle_deg1_lift CircleDeg1Lift
namespace CircleDeg1Lift
instance : FunLike CircleDeg1Lift ℝ ℝ where
coe f := f.toFun
coe_injective' | ⟨⟨_, _⟩, _⟩, ⟨⟨_, _⟩, _⟩, rfl => rfl
instance : OrderHomClass CircleDeg1Lift ℝ ℝ where
map_rel f _ _ h := f.monotone' h
@[simp] theorem coe_mk (f h) : ⇑(mk f h) = f := rfl
#align circle_deg1_lift.coe_mk CircleDeg1Lift.coe_mk
variable (f g : CircleDeg1Lift)
@[simp] theorem coe_toOrderHom : ⇑f.toOrderHom = f := rfl
protected theorem monotone : Monotone f := f.monotone'
#align circle_deg1_lift.monotone CircleDeg1Lift.monotone
@[mono] theorem mono {x y} (h : x ≤ y) : f x ≤ f y := f.monotone h
#align circle_deg1_lift.mono CircleDeg1Lift.mono
theorem strictMono_iff_injective : StrictMono f ↔ Injective f :=
f.monotone.strictMono_iff_injective
#align circle_deg1_lift.strict_mono_iff_injective CircleDeg1Lift.strictMono_iff_injective
@[simp]
theorem map_add_one : ∀ x, f (x + 1) = f x + 1 :=
f.map_add_one'
#align circle_deg1_lift.map_add_one CircleDeg1Lift.map_add_one
@[simp]
theorem map_one_add (x : ℝ) : f (1 + x) = 1 + f x := by rw [add_comm, map_add_one, add_comm 1]
#align circle_deg1_lift.map_one_add CircleDeg1Lift.map_one_add
#noalign circle_deg1_lift.coe_inj -- Use `DFunLike.coe_inj`
@[ext]
theorem ext ⦃f g : CircleDeg1Lift⦄ (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext f g h
#align circle_deg1_lift.ext CircleDeg1Lift.ext
theorem ext_iff {f g : CircleDeg1Lift} : f = g ↔ ∀ x, f x = g x :=
DFunLike.ext_iff
#align circle_deg1_lift.ext_iff CircleDeg1Lift.ext_iff
instance : Monoid CircleDeg1Lift where
mul f g :=
{ toOrderHom := f.1.comp g.1
map_add_one' := fun x => by simp [map_add_one] }
one := ⟨.id, fun _ => rfl⟩
mul_one f := rfl
one_mul f := rfl
mul_assoc f₁ f₂ f₃ := DFunLike.coe_injective rfl
instance : Inhabited CircleDeg1Lift := ⟨1⟩
@[simp]
theorem coe_mul : ⇑(f * g) = f ∘ g :=
rfl
#align circle_deg1_lift.coe_mul CircleDeg1Lift.coe_mul
theorem mul_apply (x) : (f * g) x = f (g x) :=
rfl
#align circle_deg1_lift.mul_apply CircleDeg1Lift.mul_apply
@[simp]
theorem coe_one : ⇑(1 : CircleDeg1Lift) = id :=
rfl
#align circle_deg1_lift.coe_one CircleDeg1Lift.coe_one
instance unitsHasCoeToFun : CoeFun CircleDeg1Liftˣ fun _ => ℝ → ℝ :=
⟨fun f => ⇑(f : CircleDeg1Lift)⟩
#align circle_deg1_lift.units_has_coe_to_fun CircleDeg1Lift.unitsHasCoeToFun
#noalign circle_deg1_lift.units_coe -- now LHS = RHS
@[simp]
theorem units_inv_apply_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
(f⁻¹ : CircleDeg1Liftˣ) (f x) = x := by simp only [← mul_apply, f.inv_mul, coe_one, id]
#align circle_deg1_lift.units_inv_apply_apply CircleDeg1Lift.units_inv_apply_apply
@[simp]
theorem units_apply_inv_apply (f : CircleDeg1Liftˣ) (x : ℝ) :
f ((f⁻¹ : CircleDeg1Liftˣ) x) = x := by simp only [← mul_apply, f.mul_inv, coe_one, id]
#align circle_deg1_lift.units_apply_inv_apply CircleDeg1Lift.units_apply_inv_apply
def toOrderIso : CircleDeg1Liftˣ →* ℝ ≃o ℝ where
toFun f :=
{ toFun := f
invFun := ⇑f⁻¹
left_inv := units_inv_apply_apply f
right_inv := units_apply_inv_apply f
map_rel_iff' := ⟨fun h => by simpa using mono (↑f⁻¹) h, mono f⟩ }
map_one' := rfl
map_mul' f g := rfl
#align circle_deg1_lift.to_order_iso CircleDeg1Lift.toOrderIso
@[simp]
theorem coe_toOrderIso (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f) = f :=
rfl
#align circle_deg1_lift.coe_to_order_iso CircleDeg1Lift.coe_toOrderIso
@[simp]
theorem coe_toOrderIso_symm (f : CircleDeg1Liftˣ) :
⇑(toOrderIso f).symm = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
#align circle_deg1_lift.coe_to_order_iso_symm CircleDeg1Lift.coe_toOrderIso_symm
@[simp]
theorem coe_toOrderIso_inv (f : CircleDeg1Liftˣ) : ⇑(toOrderIso f)⁻¹ = (f⁻¹ : CircleDeg1Liftˣ) :=
rfl
#align circle_deg1_lift.coe_to_order_iso_inv CircleDeg1Lift.coe_toOrderIso_inv
theorem isUnit_iff_bijective {f : CircleDeg1Lift} : IsUnit f ↔ Bijective f :=
⟨fun ⟨u, h⟩ => h ▸ (toOrderIso u).bijective, fun h =>
Units.isUnit
{ val := f
inv :=
{ toFun := (Equiv.ofBijective f h).symm
monotone' := fun x y hxy =>
(f.strictMono_iff_injective.2 h.1).le_iff_le.1
(by simp only [Equiv.ofBijective_apply_symm_apply f h, hxy])
map_add_one' := fun x =>
h.1 <| by simp only [Equiv.ofBijective_apply_symm_apply f, f.map_add_one] }
val_inv := ext <| Equiv.ofBijective_apply_symm_apply f h
inv_val := ext <| Equiv.ofBijective_symm_apply_apply f h }⟩
#align circle_deg1_lift.is_unit_iff_bijective CircleDeg1Lift.isUnit_iff_bijective
theorem coe_pow : ∀ n : ℕ, ⇑(f ^ n) = f^[n]
| 0 => rfl
| n + 1 => by
ext x
simp [coe_pow n, pow_succ]
#align circle_deg1_lift.coe_pow CircleDeg1Lift.coe_pow
theorem semiconjBy_iff_semiconj {f g₁ g₂ : CircleDeg1Lift} :
SemiconjBy f g₁ g₂ ↔ Semiconj f g₁ g₂ :=
ext_iff
#align circle_deg1_lift.semiconj_by_iff_semiconj CircleDeg1Lift.semiconjBy_iff_semiconj
theorem commute_iff_commute {f g : CircleDeg1Lift} : Commute f g ↔ Function.Commute f g :=
ext_iff
#align circle_deg1_lift.commute_iff_commute CircleDeg1Lift.commute_iff_commute
def translate : Multiplicative ℝ →* CircleDeg1Liftˣ := MonoidHom.toHomUnits <|
{ toFun := fun x =>
⟨⟨fun y => Multiplicative.toAdd x + y, fun _ _ h => add_le_add_left h _⟩, fun _ =>
(add_assoc _ _ _).symm⟩
map_one' := ext <| zero_add
map_mul' := fun _ _ => ext <| add_assoc _ _ }
#align circle_deg1_lift.translate CircleDeg1Lift.translate
@[simp]
theorem translate_apply (x y : ℝ) : translate (Multiplicative.ofAdd x) y = x + y :=
rfl
#align circle_deg1_lift.translate_apply CircleDeg1Lift.translate_apply
@[simp]
theorem translate_inv_apply (x y : ℝ) : (translate <| Multiplicative.ofAdd x)⁻¹ y = -x + y :=
rfl
#align circle_deg1_lift.translate_inv_apply CircleDeg1Lift.translate_inv_apply
@[simp]
theorem translate_zpow (x : ℝ) (n : ℤ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) := by
simp only [← zsmul_eq_mul, ofAdd_zsmul, MonoidHom.map_zpow]
#align circle_deg1_lift.translate_zpow CircleDeg1Lift.translate_zpow
@[simp]
theorem translate_pow (x : ℝ) (n : ℕ) :
translate (Multiplicative.ofAdd x) ^ n = translate (Multiplicative.ofAdd <| ↑n * x) :=
translate_zpow x n
#align circle_deg1_lift.translate_pow CircleDeg1Lift.translate_pow
@[simp]
theorem translate_iterate (x : ℝ) (n : ℕ) :
(translate (Multiplicative.ofAdd x))^[n] = translate (Multiplicative.ofAdd <| ↑n * x) := by
rw [← coe_pow, ← Units.val_pow_eq_pow_val, translate_pow]
#align circle_deg1_lift.translate_iterate CircleDeg1Lift.translate_iterate
theorem commute_nat_add (n : ℕ) : Function.Commute f (n + ·) := by
simpa only [nsmul_one, add_left_iterate] using Function.Commute.iterate_right f.map_one_add n
#align circle_deg1_lift.commute_nat_add CircleDeg1Lift.commute_nat_add
theorem commute_add_nat (n : ℕ) : Function.Commute f (· + n) := by
simp only [add_comm _ (n : ℝ), f.commute_nat_add n]
#align circle_deg1_lift.commute_add_nat CircleDeg1Lift.commute_add_nat
theorem commute_sub_nat (n : ℕ) : Function.Commute f (· - n) := by
simpa only [sub_eq_add_neg] using
(f.commute_add_nat n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv
#align circle_deg1_lift.commute_sub_nat CircleDeg1Lift.commute_sub_nat
theorem commute_add_int : ∀ n : ℤ, Function.Commute f (· + n)
| (n : ℕ) => f.commute_add_nat n
| -[n+1] => by simpa [sub_eq_add_neg] using f.commute_sub_nat (n + 1)
#align circle_deg1_lift.commute_add_int CircleDeg1Lift.commute_add_int
| Mathlib/Dynamics/Circle/RotationNumber/TranslationNumber.lean | 352 | 353 | theorem commute_int_add (n : ℤ) : Function.Commute f (n + ·) := by |
simpa only [add_comm _ (n : ℝ)] using f.commute_add_int n
|
import Mathlib.MeasureTheory.Decomposition.Lebesgue
import Mathlib.MeasureTheory.Measure.Complex
import Mathlib.MeasureTheory.Decomposition.Jordan
import Mathlib.MeasureTheory.Measure.WithDensityVectorMeasure
noncomputable section
open scoped Classical MeasureTheory NNReal ENNReal
open Set
variable {α β : Type*} {m : MeasurableSpace α} {μ ν : MeasureTheory.Measure α}
namespace MeasureTheory
namespace SignedMeasure
open Measure
class HaveLebesgueDecomposition (s : SignedMeasure α) (μ : Measure α) : Prop where
posPart : s.toJordanDecomposition.posPart.HaveLebesgueDecomposition μ
negPart : s.toJordanDecomposition.negPart.HaveLebesgueDecomposition μ
#align measure_theory.signed_measure.have_lebesgue_decomposition MeasureTheory.SignedMeasure.HaveLebesgueDecomposition
#align measure_theory.signed_measure.have_lebesgue_decomposition.pos_part MeasureTheory.SignedMeasure.HaveLebesgueDecomposition.posPart
#align measure_theory.signed_measure.have_lebesgue_decomposition.neg_part MeasureTheory.SignedMeasure.HaveLebesgueDecomposition.negPart
attribute [instance] HaveLebesgueDecomposition.posPart
attribute [instance] HaveLebesgueDecomposition.negPart
theorem not_haveLebesgueDecomposition_iff (s : SignedMeasure α) (μ : Measure α) :
¬s.HaveLebesgueDecomposition μ ↔
¬s.toJordanDecomposition.posPart.HaveLebesgueDecomposition μ ∨
¬s.toJordanDecomposition.negPart.HaveLebesgueDecomposition μ :=
⟨fun h => not_or_of_imp fun hp hn => h ⟨hp, hn⟩, fun h hl => (not_and_or.2 h) ⟨hl.1, hl.2⟩⟩
#align measure_theory.signed_measure.not_have_lebesgue_decomposition_iff MeasureTheory.SignedMeasure.not_haveLebesgueDecomposition_iff
-- `inferInstance` directly does not work
-- see Note [lower instance priority]
instance (priority := 100) haveLebesgueDecomposition_of_sigmaFinite (s : SignedMeasure α)
(μ : Measure α) [SigmaFinite μ] : s.HaveLebesgueDecomposition μ where
posPart := inferInstance
negPart := inferInstance
#align measure_theory.signed_measure.have_lebesgue_decomposition_of_sigma_finite MeasureTheory.SignedMeasure.haveLebesgueDecomposition_of_sigmaFinite
instance haveLebesgueDecomposition_neg (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] : (-s).HaveLebesgueDecomposition μ where
posPart := by
rw [toJordanDecomposition_neg, JordanDecomposition.neg_posPart]
infer_instance
negPart := by
rw [toJordanDecomposition_neg, JordanDecomposition.neg_negPart]
infer_instance
#align measure_theory.signed_measure.have_lebesgue_decomposition_neg MeasureTheory.SignedMeasure.haveLebesgueDecomposition_neg
instance haveLebesgueDecomposition_smul (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] (r : ℝ≥0) : (r • s).HaveLebesgueDecomposition μ where
posPart := by
rw [toJordanDecomposition_smul, JordanDecomposition.smul_posPart]
infer_instance
negPart := by
rw [toJordanDecomposition_smul, JordanDecomposition.smul_negPart]
infer_instance
#align measure_theory.signed_measure.have_lebesgue_decomposition_smul MeasureTheory.SignedMeasure.haveLebesgueDecomposition_smul
instance haveLebesgueDecomposition_smul_real (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] (r : ℝ) : (r • s).HaveLebesgueDecomposition μ := by
by_cases hr : 0 ≤ r
· lift r to ℝ≥0 using hr
exact s.haveLebesgueDecomposition_smul μ _
· rw [not_le] at hr
refine
{ posPart := by
rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_posPart_neg _ _ hr]
infer_instance
negPart := by
rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_negPart_neg _ _ hr]
infer_instance }
#align measure_theory.signed_measure.have_lebesgue_decomposition_smul_real MeasureTheory.SignedMeasure.haveLebesgueDecomposition_smul_real
def singularPart (s : SignedMeasure α) (μ : Measure α) : SignedMeasure α :=
(s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure -
(s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure
#align measure_theory.signed_measure.singular_part MeasureTheory.SignedMeasure.singularPart
section
| Mathlib/MeasureTheory/Decomposition/SignedLebesgue.lean | 131 | 145 | theorem singularPart_mutuallySingular (s : SignedMeasure α) (μ : Measure α) :
s.toJordanDecomposition.posPart.singularPart μ ⟂ₘ
s.toJordanDecomposition.negPart.singularPart μ := by |
by_cases hl : s.HaveLebesgueDecomposition μ
· obtain ⟨i, hi, hpos, hneg⟩ := s.toJordanDecomposition.mutuallySingular
rw [s.toJordanDecomposition.posPart.haveLebesgueDecomposition_add μ] at hpos
rw [s.toJordanDecomposition.negPart.haveLebesgueDecomposition_add μ] at hneg
rw [add_apply, add_eq_zero_iff] at hpos hneg
exact ⟨i, hi, hpos.1, hneg.1⟩
· rw [not_haveLebesgueDecomposition_iff] at hl
cases' hl with hp hn
· rw [Measure.singularPart, dif_neg hp]
exact MutuallySingular.zero_left
· rw [Measure.singularPart, Measure.singularPart, dif_neg hn]
exact MutuallySingular.zero_right
|
import Mathlib.Order.Filter.SmallSets
import Mathlib.Tactic.Monotonicity
import Mathlib.Topology.Compactness.Compact
import Mathlib.Topology.NhdsSet
import Mathlib.Algebra.Group.Defs
#align_import topology.uniform_space.basic from "leanprover-community/mathlib"@"195fcd60ff2bfe392543bceb0ec2adcdb472db4c"
open Set Filter Topology
universe u v ua ub uc ud
variable {α : Type ua} {β : Type ub} {γ : Type uc} {δ : Type ud} {ι : Sort*}
def idRel {α : Type*} :=
{ p : α × α | p.1 = p.2 }
#align id_rel idRel
@[simp]
theorem mem_idRel {a b : α} : (a, b) ∈ @idRel α ↔ a = b :=
Iff.rfl
#align mem_id_rel mem_idRel
@[simp]
theorem idRel_subset {s : Set (α × α)} : idRel ⊆ s ↔ ∀ a, (a, a) ∈ s := by
simp [subset_def]
#align id_rel_subset idRel_subset
def compRel (r₁ r₂ : Set (α × α)) :=
{ p : α × α | ∃ z : α, (p.1, z) ∈ r₁ ∧ (z, p.2) ∈ r₂ }
#align comp_rel compRel
@[inherit_doc]
scoped[Uniformity] infixl:62 " ○ " => compRel
open Uniformity
@[simp]
theorem mem_compRel {α : Type u} {r₁ r₂ : Set (α × α)} {x y : α} :
(x, y) ∈ r₁ ○ r₂ ↔ ∃ z, (x, z) ∈ r₁ ∧ (z, y) ∈ r₂ :=
Iff.rfl
#align mem_comp_rel mem_compRel
@[simp]
theorem swap_idRel : Prod.swap '' idRel = @idRel α :=
Set.ext fun ⟨a, b⟩ => by simpa [image_swap_eq_preimage_swap] using eq_comm
#align swap_id_rel swap_idRel
theorem Monotone.compRel [Preorder β] {f g : β → Set (α × α)} (hf : Monotone f) (hg : Monotone g) :
Monotone fun x => f x ○ g x := fun _ _ h _ ⟨z, h₁, h₂⟩ => ⟨z, hf h h₁, hg h h₂⟩
#align monotone.comp_rel Monotone.compRel
@[mono]
theorem compRel_mono {f g h k : Set (α × α)} (h₁ : f ⊆ h) (h₂ : g ⊆ k) : f ○ g ⊆ h ○ k :=
fun _ ⟨z, h, h'⟩ => ⟨z, h₁ h, h₂ h'⟩
#align comp_rel_mono compRel_mono
theorem prod_mk_mem_compRel {a b c : α} {s t : Set (α × α)} (h₁ : (a, c) ∈ s) (h₂ : (c, b) ∈ t) :
(a, b) ∈ s ○ t :=
⟨c, h₁, h₂⟩
#align prod_mk_mem_comp_rel prod_mk_mem_compRel
@[simp]
theorem id_compRel {r : Set (α × α)} : idRel ○ r = r :=
Set.ext fun ⟨a, b⟩ => by simp
#align id_comp_rel id_compRel
theorem compRel_assoc {r s t : Set (α × α)} : r ○ s ○ t = r ○ (s ○ t) := by
ext ⟨a, b⟩; simp only [mem_compRel]; tauto
#align comp_rel_assoc compRel_assoc
theorem left_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ t) : s ⊆ s ○ t := fun ⟨_x, y⟩ xy_in =>
⟨y, xy_in, h <| rfl⟩
#align left_subset_comp_rel left_subset_compRel
theorem right_subset_compRel {s t : Set (α × α)} (h : idRel ⊆ s) : t ⊆ s ○ t := fun ⟨x, _y⟩ xy_in =>
⟨x, h <| rfl, xy_in⟩
#align right_subset_comp_rel right_subset_compRel
theorem subset_comp_self {s : Set (α × α)} (h : idRel ⊆ s) : s ⊆ s ○ s :=
left_subset_compRel h
#align subset_comp_self subset_comp_self
theorem subset_iterate_compRel {s t : Set (α × α)} (h : idRel ⊆ s) (n : ℕ) :
t ⊆ (s ○ ·)^[n] t := by
induction' n with n ihn generalizing t
exacts [Subset.rfl, (right_subset_compRel h).trans ihn]
#align subset_iterate_comp_rel subset_iterate_compRel
def SymmetricRel (V : Set (α × α)) : Prop :=
Prod.swap ⁻¹' V = V
#align symmetric_rel SymmetricRel
def symmetrizeRel (V : Set (α × α)) : Set (α × α) :=
V ∩ Prod.swap ⁻¹' V
#align symmetrize_rel symmetrizeRel
theorem symmetric_symmetrizeRel (V : Set (α × α)) : SymmetricRel (symmetrizeRel V) := by
simp [SymmetricRel, symmetrizeRel, preimage_inter, inter_comm, ← preimage_comp]
#align symmetric_symmetrize_rel symmetric_symmetrizeRel
theorem symmetrizeRel_subset_self (V : Set (α × α)) : symmetrizeRel V ⊆ V :=
sep_subset _ _
#align symmetrize_rel_subset_self symmetrizeRel_subset_self
@[mono]
theorem symmetrize_mono {V W : Set (α × α)} (h : V ⊆ W) : symmetrizeRel V ⊆ symmetrizeRel W :=
inter_subset_inter h <| preimage_mono h
#align symmetrize_mono symmetrize_mono
theorem SymmetricRel.mk_mem_comm {V : Set (α × α)} (hV : SymmetricRel V) {x y : α} :
(x, y) ∈ V ↔ (y, x) ∈ V :=
Set.ext_iff.1 hV (y, x)
#align symmetric_rel.mk_mem_comm SymmetricRel.mk_mem_comm
theorem SymmetricRel.eq {U : Set (α × α)} (hU : SymmetricRel U) : Prod.swap ⁻¹' U = U :=
hU
#align symmetric_rel.eq SymmetricRel.eq
theorem SymmetricRel.inter {U V : Set (α × α)} (hU : SymmetricRel U) (hV : SymmetricRel V) :
SymmetricRel (U ∩ V) := by rw [SymmetricRel, preimage_inter, hU.eq, hV.eq]
#align symmetric_rel.inter SymmetricRel.inter
structure UniformSpace.Core (α : Type u) where
uniformity : Filter (α × α)
refl : 𝓟 idRel ≤ uniformity
symm : Tendsto Prod.swap uniformity uniformity
comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
#align uniform_space.core UniformSpace.Core
protected theorem UniformSpace.Core.comp_mem_uniformity_sets {c : Core α} {s : Set (α × α)}
(hs : s ∈ c.uniformity) : ∃ t ∈ c.uniformity, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| c.comp hs
def UniformSpace.Core.mk' {α : Type u} (U : Filter (α × α)) (refl : ∀ r ∈ U, ∀ (x), (x, x) ∈ r)
(symm : ∀ r ∈ U, Prod.swap ⁻¹' r ∈ U) (comp : ∀ r ∈ U, ∃ t ∈ U, t ○ t ⊆ r) :
UniformSpace.Core α :=
⟨U, fun _r ru => idRel_subset.2 (refl _ ru), symm, fun _r ru =>
let ⟨_s, hs, hsr⟩ := comp _ ru
mem_of_superset (mem_lift' hs) hsr⟩
#align uniform_space.core.mk' UniformSpace.Core.mk'
def UniformSpace.Core.mkOfBasis {α : Type u} (B : FilterBasis (α × α))
(refl : ∀ r ∈ B, ∀ (x), (x, x) ∈ r) (symm : ∀ r ∈ B, ∃ t ∈ B, t ⊆ Prod.swap ⁻¹' r)
(comp : ∀ r ∈ B, ∃ t ∈ B, t ○ t ⊆ r) : UniformSpace.Core α where
uniformity := B.filter
refl := B.hasBasis.ge_iff.mpr fun _r ru => idRel_subset.2 <| refl _ ru
symm := (B.hasBasis.tendsto_iff B.hasBasis).mpr symm
comp := (HasBasis.le_basis_iff (B.hasBasis.lift' (monotone_id.compRel monotone_id))
B.hasBasis).2 comp
#align uniform_space.core.mk_of_basis UniformSpace.Core.mkOfBasis
def UniformSpace.Core.toTopologicalSpace {α : Type u} (u : UniformSpace.Core α) :
TopologicalSpace α :=
.mkOfNhds fun x ↦ .comap (Prod.mk x) u.uniformity
#align uniform_space.core.to_topological_space UniformSpace.Core.toTopologicalSpace
theorem UniformSpace.Core.ext :
∀ {u₁ u₂ : UniformSpace.Core α}, u₁.uniformity = u₂.uniformity → u₁ = u₂
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align uniform_space.core_eq UniformSpace.Core.ext
theorem UniformSpace.Core.nhds_toTopologicalSpace {α : Type u} (u : Core α) (x : α) :
@nhds α u.toTopologicalSpace x = comap (Prod.mk x) u.uniformity := by
apply TopologicalSpace.nhds_mkOfNhds_of_hasBasis (fun _ ↦ (basis_sets _).comap _)
· exact fun a U hU ↦ u.refl hU rfl
· intro a U hU
rcases u.comp_mem_uniformity_sets hU with ⟨V, hV, hVU⟩
filter_upwards [preimage_mem_comap hV] with b hb
filter_upwards [preimage_mem_comap hV] with c hc
exact hVU ⟨b, hb, hc⟩
-- the topological structure is embedded in the uniform structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class UniformSpace (α : Type u) extends TopologicalSpace α where
protected uniformity : Filter (α × α)
protected symm : Tendsto Prod.swap uniformity uniformity
protected comp : (uniformity.lift' fun s => s ○ s) ≤ uniformity
protected nhds_eq_comap_uniformity (x : α) : 𝓝 x = comap (Prod.mk x) uniformity
#align uniform_space UniformSpace
#noalign uniform_space.mk' -- Can't be a `match_pattern`, so not useful anymore
def uniformity (α : Type u) [UniformSpace α] : Filter (α × α) :=
@UniformSpace.uniformity α _
#align uniformity uniformity
scoped[Uniformity] notation "𝓤[" u "]" => @uniformity _ u
@[inherit_doc] -- Porting note (#11215): TODO: should we drop the `uniformity` def?
scoped[Uniformity] notation "𝓤" => uniformity
abbrev UniformSpace.ofCoreEq {α : Type u} (u : UniformSpace.Core α) (t : TopologicalSpace α)
(h : t = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := t
nhds_eq_comap_uniformity x := by rw [h, u.nhds_toTopologicalSpace]
#align uniform_space.of_core_eq UniformSpace.ofCoreEq
abbrev UniformSpace.ofCore {α : Type u} (u : UniformSpace.Core α) : UniformSpace α :=
.ofCoreEq u _ rfl
#align uniform_space.of_core UniformSpace.ofCore
abbrev UniformSpace.toCore (u : UniformSpace α) : UniformSpace.Core α where
__ := u
refl := by
rintro U hU ⟨x, y⟩ (rfl : x = y)
have : Prod.mk x ⁻¹' U ∈ 𝓝 x := by
rw [UniformSpace.nhds_eq_comap_uniformity]
exact preimage_mem_comap hU
convert mem_of_mem_nhds this
theorem UniformSpace.toCore_toTopologicalSpace (u : UniformSpace α) :
u.toCore.toTopologicalSpace = u.toTopologicalSpace :=
TopologicalSpace.ext_nhds fun a ↦ by
rw [u.nhds_eq_comap_uniformity, u.toCore.nhds_toTopologicalSpace]
#align uniform_space.to_core_to_topological_space UniformSpace.toCore_toTopologicalSpace
@[deprecated UniformSpace.mk (since := "2024-03-20")]
def UniformSpace.ofNhdsEqComap (u : UniformSpace.Core α) (_t : TopologicalSpace α)
(h : ∀ x, 𝓝 x = u.uniformity.comap (Prod.mk x)) : UniformSpace α where
__ := u
nhds_eq_comap_uniformity := h
@[ext]
protected theorem UniformSpace.ext {u₁ u₂ : UniformSpace α} (h : 𝓤[u₁] = 𝓤[u₂]) : u₁ = u₂ := by
have : u₁.toTopologicalSpace = u₂.toTopologicalSpace := TopologicalSpace.ext_nhds fun x ↦ by
rw [u₁.nhds_eq_comap_uniformity, u₂.nhds_eq_comap_uniformity]
exact congr_arg (comap _) h
cases u₁; cases u₂; congr
#align uniform_space_eq UniformSpace.ext
protected theorem UniformSpace.ext_iff {u₁ u₂ : UniformSpace α} :
u₁ = u₂ ↔ ∀ s, s ∈ 𝓤[u₁] ↔ s ∈ 𝓤[u₂] :=
⟨fun h _ => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
theorem UniformSpace.ofCoreEq_toCore (u : UniformSpace α) (t : TopologicalSpace α)
(h : t = u.toCore.toTopologicalSpace) : .ofCoreEq u.toCore t h = u :=
UniformSpace.ext rfl
#align uniform_space.of_core_eq_to_core UniformSpace.ofCoreEq_toCore
abbrev UniformSpace.replaceTopology {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : UniformSpace α where
__ := u
toTopologicalSpace := i
nhds_eq_comap_uniformity x := by rw [h, u.nhds_eq_comap_uniformity]
#align uniform_space.replace_topology UniformSpace.replaceTopology
theorem UniformSpace.replaceTopology_eq {α : Type*} [i : TopologicalSpace α] (u : UniformSpace α)
(h : i = u.toTopologicalSpace) : u.replaceTopology h = u :=
UniformSpace.ext rfl
#align uniform_space.replace_topology_eq UniformSpace.replaceTopology_eq
-- Porting note: rfc: use `UniformSpace.Core.mkOfBasis`? This will change defeq here and there
def UniformSpace.ofFun {α : Type u} {β : Type v} [OrderedAddCommMonoid β]
(d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
UniformSpace α :=
.ofCore
{ uniformity := ⨅ r > 0, 𝓟 { x | d x.1 x.2 < r }
refl := le_iInf₂ fun r hr => principal_mono.2 <| idRel_subset.2 fun x => by simpa [refl]
symm := tendsto_iInf_iInf fun r => tendsto_iInf_iInf fun _ => tendsto_principal_principal.2
fun x hx => by rwa [mem_setOf, symm]
comp := le_iInf₂ fun r hr => let ⟨δ, h0, hδr⟩ := half r hr; le_principal_iff.2 <|
mem_of_superset
(mem_lift' <| mem_iInf_of_mem δ <| mem_iInf_of_mem h0 <| mem_principal_self _)
fun (x, z) ⟨y, h₁, h₂⟩ => (triangle _ _ _).trans_lt (hδr _ h₁ _ h₂) }
#align uniform_space.of_fun UniformSpace.ofFun
theorem UniformSpace.hasBasis_ofFun {α : Type u} {β : Type v} [LinearOrderedAddCommMonoid β]
(h₀ : ∃ x : β, 0 < x) (d : α → α → β) (refl : ∀ x, d x x = 0) (symm : ∀ x y, d x y = d y x)
(triangle : ∀ x y z, d x z ≤ d x y + d y z)
(half : ∀ ε > (0 : β), ∃ δ > (0 : β), ∀ x < δ, ∀ y < δ, x + y < ε) :
𝓤[.ofFun d refl symm triangle half].HasBasis ((0 : β) < ·) (fun ε => { x | d x.1 x.2 < ε }) :=
hasBasis_biInf_principal'
(fun ε₁ h₁ ε₂ h₂ => ⟨min ε₁ ε₂, lt_min h₁ h₂, fun _x hx => lt_of_lt_of_le hx (min_le_left _ _),
fun _x hx => lt_of_lt_of_le hx (min_le_right _ _)⟩) h₀
#align uniform_space.has_basis_of_fun UniformSpace.hasBasis_ofFun
section UniformSpace
variable [UniformSpace α]
theorem nhds_eq_comap_uniformity {x : α} : 𝓝 x = (𝓤 α).comap (Prod.mk x) :=
UniformSpace.nhds_eq_comap_uniformity x
#align nhds_eq_comap_uniformity nhds_eq_comap_uniformity
theorem isOpen_uniformity {s : Set α} :
IsOpen s ↔ ∀ x ∈ s, { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [isOpen_iff_mem_nhds, nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align is_open_uniformity isOpen_uniformity
theorem refl_le_uniformity : 𝓟 idRel ≤ 𝓤 α :=
(@UniformSpace.toCore α _).refl
#align refl_le_uniformity refl_le_uniformity
instance uniformity.neBot [Nonempty α] : NeBot (𝓤 α) :=
diagonal_nonempty.principal_neBot.mono refl_le_uniformity
#align uniformity.ne_bot uniformity.neBot
theorem refl_mem_uniformity {x : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) : (x, x) ∈ s :=
refl_le_uniformity h rfl
#align refl_mem_uniformity refl_mem_uniformity
theorem mem_uniformity_of_eq {x y : α} {s : Set (α × α)} (h : s ∈ 𝓤 α) (hx : x = y) : (x, y) ∈ s :=
refl_le_uniformity h hx
#align mem_uniformity_of_eq mem_uniformity_of_eq
theorem symm_le_uniformity : map (@Prod.swap α α) (𝓤 _) ≤ 𝓤 _ :=
UniformSpace.symm
#align symm_le_uniformity symm_le_uniformity
theorem comp_le_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) ≤ 𝓤 α :=
UniformSpace.comp
#align comp_le_uniformity comp_le_uniformity
theorem lift'_comp_uniformity : ((𝓤 α).lift' fun s : Set (α × α) => s ○ s) = 𝓤 α :=
comp_le_uniformity.antisymm <| le_lift'.2 fun _s hs ↦ mem_of_superset hs <|
subset_comp_self <| idRel_subset.2 fun _ ↦ refl_mem_uniformity hs
theorem tendsto_swap_uniformity : Tendsto (@Prod.swap α α) (𝓤 α) (𝓤 α) :=
symm_le_uniformity
#align tendsto_swap_uniformity tendsto_swap_uniformity
theorem comp_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ t ⊆ s :=
(mem_lift'_sets <| monotone_id.compRel monotone_id).mp <| comp_le_uniformity hs
#align comp_mem_uniformity_sets comp_mem_uniformity_sets
theorem eventually_uniformity_iterate_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) (n : ℕ) :
∀ᶠ t in (𝓤 α).smallSets, (t ○ ·)^[n] t ⊆ s := by
suffices ∀ᶠ t in (𝓤 α).smallSets, t ⊆ s ∧ (t ○ ·)^[n] t ⊆ s from (eventually_and.1 this).2
induction' n with n ihn generalizing s
· simpa
rcases comp_mem_uniformity_sets hs with ⟨t, htU, hts⟩
refine (ihn htU).mono fun U hU => ?_
rw [Function.iterate_succ_apply']
exact
⟨hU.1.trans <| (subset_comp_self <| refl_le_uniformity htU).trans hts,
(compRel_mono hU.1 hU.2).trans hts⟩
#align eventually_uniformity_iterate_comp_subset eventually_uniformity_iterate_comp_subset
theorem eventually_uniformity_comp_subset {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∀ᶠ t in (𝓤 α).smallSets, t ○ t ⊆ s :=
eventually_uniformity_iterate_comp_subset hs 1
#align eventually_uniformity_comp_subset eventually_uniformity_comp_subset
theorem Filter.Tendsto.uniformity_trans {l : Filter β} {f₁ f₂ f₃ : β → α}
(h₁₂ : Tendsto (fun x => (f₁ x, f₂ x)) l (𝓤 α))
(h₂₃ : Tendsto (fun x => (f₂ x, f₃ x)) l (𝓤 α)) : Tendsto (fun x => (f₁ x, f₃ x)) l (𝓤 α) := by
refine le_trans (le_lift'.2 fun s hs => mem_map.2 ?_) comp_le_uniformity
filter_upwards [mem_map.1 (h₁₂ hs), mem_map.1 (h₂₃ hs)] with x hx₁₂ hx₂₃ using ⟨_, hx₁₂, hx₂₃⟩
#align filter.tendsto.uniformity_trans Filter.Tendsto.uniformity_trans
theorem Filter.Tendsto.uniformity_symm {l : Filter β} {f : β → α × α} (h : Tendsto f l (𝓤 α)) :
Tendsto (fun x => ((f x).2, (f x).1)) l (𝓤 α) :=
tendsto_swap_uniformity.comp h
#align filter.tendsto.uniformity_symm Filter.Tendsto.uniformity_symm
theorem tendsto_diag_uniformity (f : β → α) (l : Filter β) :
Tendsto (fun x => (f x, f x)) l (𝓤 α) := fun _s hs =>
mem_map.2 <| univ_mem' fun _ => refl_mem_uniformity hs
#align tendsto_diag_uniformity tendsto_diag_uniformity
theorem tendsto_const_uniformity {a : α} {f : Filter β} : Tendsto (fun _ => (a, a)) f (𝓤 α) :=
tendsto_diag_uniformity (fun _ => a) f
#align tendsto_const_uniformity tendsto_const_uniformity
theorem symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ a b, (a, b) ∈ t → (b, a) ∈ t) ∧ t ⊆ s :=
have : preimage Prod.swap s ∈ 𝓤 α := symm_le_uniformity hs
⟨s ∩ preimage Prod.swap s, inter_mem hs this, fun _ _ ⟨h₁, h₂⟩ => ⟨h₂, h₁⟩, inter_subset_left⟩
#align symm_of_uniformity symm_of_uniformity
theorem comp_symm_of_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, (∀ {a b}, (a, b) ∈ t → (b, a) ∈ t) ∧ t ○ t ⊆ s :=
let ⟨_t, ht₁, ht₂⟩ := comp_mem_uniformity_sets hs
let ⟨t', ht', ht'₁, ht'₂⟩ := symm_of_uniformity ht₁
⟨t', ht', ht'₁ _ _, Subset.trans (monotone_id.compRel monotone_id ht'₂) ht₂⟩
#align comp_symm_of_uniformity comp_symm_of_uniformity
theorem uniformity_le_symm : 𝓤 α ≤ @Prod.swap α α <$> 𝓤 α := by
rw [map_swap_eq_comap_swap]; exact tendsto_swap_uniformity.le_comap
#align uniformity_le_symm uniformity_le_symm
theorem uniformity_eq_symm : 𝓤 α = @Prod.swap α α <$> 𝓤 α :=
le_antisymm uniformity_le_symm symm_le_uniformity
#align uniformity_eq_symm uniformity_eq_symm
@[simp]
theorem comap_swap_uniformity : comap (@Prod.swap α α) (𝓤 α) = 𝓤 α :=
(congr_arg _ uniformity_eq_symm).trans <| comap_map Prod.swap_injective
#align comap_swap_uniformity comap_swap_uniformity
theorem symmetrize_mem_uniformity {V : Set (α × α)} (h : V ∈ 𝓤 α) : symmetrizeRel V ∈ 𝓤 α := by
apply (𝓤 α).inter_sets h
rw [← image_swap_eq_preimage_swap, uniformity_eq_symm]
exact image_mem_map h
#align symmetrize_mem_uniformity symmetrize_mem_uniformity
theorem UniformSpace.hasBasis_symmetric :
(𝓤 α).HasBasis (fun s : Set (α × α) => s ∈ 𝓤 α ∧ SymmetricRel s) id :=
hasBasis_self.2 fun t t_in =>
⟨symmetrizeRel t, symmetrize_mem_uniformity t_in, symmetric_symmetrizeRel t,
symmetrizeRel_subset_self t⟩
#align uniform_space.has_basis_symmetric UniformSpace.hasBasis_symmetric
theorem uniformity_lift_le_swap {g : Set (α × α) → Filter β} {f : Filter β} (hg : Monotone g)
(h : ((𝓤 α).lift fun s => g (preimage Prod.swap s)) ≤ f) : (𝓤 α).lift g ≤ f :=
calc
(𝓤 α).lift g ≤ (Filter.map (@Prod.swap α α) <| 𝓤 α).lift g :=
lift_mono uniformity_le_symm le_rfl
_ ≤ _ := by rw [map_lift_eq2 hg, image_swap_eq_preimage_swap]; exact h
#align uniformity_lift_le_swap uniformity_lift_le_swap
theorem uniformity_lift_le_comp {f : Set (α × α) → Filter β} (h : Monotone f) :
((𝓤 α).lift fun s => f (s ○ s)) ≤ (𝓤 α).lift f :=
calc
((𝓤 α).lift fun s => f (s ○ s)) = ((𝓤 α).lift' fun s : Set (α × α) => s ○ s).lift f := by
rw [lift_lift'_assoc]
· exact monotone_id.compRel monotone_id
· exact h
_ ≤ (𝓤 α).lift f := lift_mono comp_le_uniformity le_rfl
#align uniformity_lift_le_comp uniformity_lift_le_comp
-- Porting note (#10756): new lemma
theorem comp3_mem_uniformity {s : Set (α × α)} (hs : s ∈ 𝓤 α) : ∃ t ∈ 𝓤 α, t ○ (t ○ t) ⊆ s :=
let ⟨_t', ht', ht's⟩ := comp_mem_uniformity_sets hs
let ⟨t, ht, htt'⟩ := comp_mem_uniformity_sets ht'
⟨t, ht, (compRel_mono ((subset_comp_self (refl_le_uniformity ht)).trans htt') htt').trans ht's⟩
theorem comp_le_uniformity3 : ((𝓤 α).lift' fun s : Set (α × α) => s ○ (s ○ s)) ≤ 𝓤 α := fun _ h =>
let ⟨_t, htU, ht⟩ := comp3_mem_uniformity h
mem_of_superset (mem_lift' htU) ht
#align comp_le_uniformity3 comp_le_uniformity3
theorem comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ⊆ s := by
obtain ⟨w, w_in, w_sub⟩ : ∃ w ∈ 𝓤 α, w ○ w ⊆ s := comp_mem_uniformity_sets hs
use symmetrizeRel w, symmetrize_mem_uniformity w_in, symmetric_symmetrizeRel w
have : symmetrizeRel w ⊆ w := symmetrizeRel_subset_self w
calc symmetrizeRel w ○ symmetrizeRel w
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_symm_mem_uniformity_sets comp_symm_mem_uniformity_sets
theorem subset_comp_self_of_mem_uniformity {s : Set (α × α)} (h : s ∈ 𝓤 α) : s ⊆ s ○ s :=
subset_comp_self (refl_le_uniformity h)
#align subset_comp_self_of_mem_uniformity subset_comp_self_of_mem_uniformity
theorem comp_comp_symm_mem_uniformity_sets {s : Set (α × α)} (hs : s ∈ 𝓤 α) :
∃ t ∈ 𝓤 α, SymmetricRel t ∧ t ○ t ○ t ⊆ s := by
rcases comp_symm_mem_uniformity_sets hs with ⟨w, w_in, _, w_sub⟩
rcases comp_symm_mem_uniformity_sets w_in with ⟨t, t_in, t_symm, t_sub⟩
use t, t_in, t_symm
have : t ⊆ t ○ t := subset_comp_self_of_mem_uniformity t_in
-- Porting note: Needed the following `have`s to make `mono` work
have ht := Subset.refl t
have hw := Subset.refl w
calc
t ○ t ○ t ⊆ w ○ t := by mono
_ ⊆ w ○ (t ○ t) := by mono
_ ⊆ w ○ w := by mono
_ ⊆ s := w_sub
#align comp_comp_symm_mem_uniformity_sets comp_comp_symm_mem_uniformity_sets
def UniformSpace.ball (x : β) (V : Set (β × β)) : Set β :=
Prod.mk x ⁻¹' V
#align uniform_space.ball UniformSpace.ball
open UniformSpace (ball)
theorem UniformSpace.mem_ball_self (x : α) {V : Set (α × α)} (hV : V ∈ 𝓤 α) : x ∈ ball x V :=
refl_mem_uniformity hV
#align uniform_space.mem_ball_self UniformSpace.mem_ball_self
theorem mem_ball_comp {V W : Set (β × β)} {x y z} (h : y ∈ ball x V) (h' : z ∈ ball y W) :
z ∈ ball x (V ○ W) :=
prod_mk_mem_compRel h h'
#align mem_ball_comp mem_ball_comp
theorem ball_subset_of_comp_subset {V W : Set (β × β)} {x y} (h : x ∈ ball y W) (h' : W ○ W ⊆ V) :
ball x W ⊆ ball y V := fun _z z_in => h' (mem_ball_comp h z_in)
#align ball_subset_of_comp_subset ball_subset_of_comp_subset
theorem ball_mono {V W : Set (β × β)} (h : V ⊆ W) (x : β) : ball x V ⊆ ball x W :=
preimage_mono h
#align ball_mono ball_mono
theorem ball_inter (x : β) (V W : Set (β × β)) : ball x (V ∩ W) = ball x V ∩ ball x W :=
preimage_inter
#align ball_inter ball_inter
theorem ball_inter_left (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x V :=
ball_mono inter_subset_left x
#align ball_inter_left ball_inter_left
theorem ball_inter_right (x : β) (V W : Set (β × β)) : ball x (V ∩ W) ⊆ ball x W :=
ball_mono inter_subset_right x
#align ball_inter_right ball_inter_right
theorem mem_ball_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x y} :
x ∈ ball y V ↔ y ∈ ball x V :=
show (x, y) ∈ Prod.swap ⁻¹' V ↔ (x, y) ∈ V by
unfold SymmetricRel at hV
rw [hV]
#align mem_ball_symmetry mem_ball_symmetry
theorem ball_eq_of_symmetry {V : Set (β × β)} (hV : SymmetricRel V) {x} :
ball x V = { y | (y, x) ∈ V } := by
ext y
rw [mem_ball_symmetry hV]
exact Iff.rfl
#align ball_eq_of_symmetry ball_eq_of_symmetry
theorem mem_comp_of_mem_ball {V W : Set (β × β)} {x y z : β} (hV : SymmetricRel V)
(hx : x ∈ ball z V) (hy : y ∈ ball z W) : (x, y) ∈ V ○ W := by
rw [mem_ball_symmetry hV] at hx
exact ⟨z, hx, hy⟩
#align mem_comp_of_mem_ball mem_comp_of_mem_ball
theorem UniformSpace.isOpen_ball (x : α) {V : Set (α × α)} (hV : IsOpen V) : IsOpen (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
#align uniform_space.is_open_ball UniformSpace.isOpen_ball
theorem UniformSpace.isClosed_ball (x : α) {V : Set (α × α)} (hV : IsClosed V) :
IsClosed (ball x V) :=
hV.preimage <| continuous_const.prod_mk continuous_id
theorem mem_comp_comp {V W M : Set (β × β)} (hW' : SymmetricRel W) {p : β × β} :
p ∈ V ○ M ○ W ↔ (ball p.1 V ×ˢ ball p.2 W ∩ M).Nonempty := by
cases' p with x y
constructor
· rintro ⟨z, ⟨w, hpw, hwz⟩, hzy⟩
exact ⟨(w, z), ⟨hpw, by rwa [mem_ball_symmetry hW']⟩, hwz⟩
· rintro ⟨⟨w, z⟩, ⟨w_in, z_in⟩, hwz⟩
rw [mem_ball_symmetry hW'] at z_in
exact ⟨z, ⟨w, w_in, hwz⟩, z_in⟩
#align mem_comp_comp mem_comp_comp
theorem mem_nhds_uniformity_iff_right {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.1 = x → p.2 ∈ s } ∈ 𝓤 α := by
simp only [nhds_eq_comap_uniformity, mem_comap_prod_mk]
#align mem_nhds_uniformity_iff_right mem_nhds_uniformity_iff_right
theorem mem_nhds_uniformity_iff_left {x : α} {s : Set α} :
s ∈ 𝓝 x ↔ { p : α × α | p.2 = x → p.1 ∈ s } ∈ 𝓤 α := by
rw [uniformity_eq_symm, mem_nhds_uniformity_iff_right]
simp only [map_def, mem_map, preimage_setOf_eq, Prod.snd_swap, Prod.fst_swap]
#align mem_nhds_uniformity_iff_left mem_nhds_uniformity_iff_left
| Mathlib/Topology/UniformSpace/Basic.lean | 733 | 735 | theorem nhdsWithin_eq_comap_uniformity_of_mem {x : α} {T : Set α} (hx : x ∈ T) (S : Set α) :
𝓝[S] x = (𝓤 α ⊓ 𝓟 (T ×ˢ S)).comap (Prod.mk x) := by |
simp [nhdsWithin, nhds_eq_comap_uniformity, hx]
|
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics
import Mathlib.NumberTheory.Liouville.Basic
import Mathlib.Topology.Instances.Irrational
#align_import number_theory.liouville.liouville_with from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8"
open Filter Metric Real Set
open scoped Filter Topology
def LiouvilleWith (p x : ℝ) : Prop :=
∃ C, ∃ᶠ n : ℕ in atTop, ∃ m : ℤ, x ≠ m / n ∧ |x - m / n| < C / n ^ p
#align liouville_with LiouvilleWith
theorem liouvilleWith_one (x : ℝ) : LiouvilleWith 1 x := by
use 2
refine ((eventually_gt_atTop 0).mono fun n hn => ?_).frequently
have hn' : (0 : ℝ) < n := by simpa
have : x < ↑(⌊x * ↑n⌋ + 1) / ↑n := by
rw [lt_div_iff hn', Int.cast_add, Int.cast_one];
exact Int.lt_floor_add_one _
refine ⟨⌊x * n⌋ + 1, this.ne, ?_⟩
rw [abs_sub_comm, abs_of_pos (sub_pos.2 this), rpow_one, sub_lt_iff_lt_add',
add_div_eq_mul_add_div _ _ hn'.ne']
gcongr
calc _ ≤ x * n + 1 := by push_cast; gcongr; apply Int.floor_le
_ < x * n + 2 := by linarith
#align liouville_with_one liouvilleWith_one
namespace LiouvilleWith
variable {p q x y : ℝ} {r : ℚ} {m : ℤ} {n : ℕ}
theorem exists_pos (h : LiouvilleWith p x) :
∃ (C : ℝ) (_h₀ : 0 < C),
∃ᶠ n : ℕ in atTop, 1 ≤ n ∧ ∃ m : ℤ, x ≠ m / n ∧ |x - m / n| < C / n ^ p := by
rcases h with ⟨C, hC⟩
refine ⟨max C 1, zero_lt_one.trans_le <| le_max_right _ _, ?_⟩
refine ((eventually_ge_atTop 1).and_frequently hC).mono ?_
rintro n ⟨hle, m, hne, hlt⟩
refine ⟨hle, m, hne, hlt.trans_le ?_⟩
gcongr
apply le_max_left
#align liouville_with.exists_pos LiouvilleWith.exists_pos
theorem mono (h : LiouvilleWith p x) (hle : q ≤ p) : LiouvilleWith q x := by
rcases h.exists_pos with ⟨C, hC₀, hC⟩
refine ⟨C, hC.mono ?_⟩; rintro n ⟨hn, m, hne, hlt⟩
refine ⟨m, hne, hlt.trans_le <| ?_⟩
gcongr
exact_mod_cast hn
#align liouville_with.mono LiouvilleWith.mono
theorem frequently_lt_rpow_neg (h : LiouvilleWith p x) (hlt : q < p) :
∃ᶠ n : ℕ in atTop, ∃ m : ℤ, x ≠ m / n ∧ |x - m / n| < n ^ (-q) := by
rcases h.exists_pos with ⟨C, _hC₀, hC⟩
have : ∀ᶠ n : ℕ in atTop, C < n ^ (p - q) := by
simpa only [(· ∘ ·), neg_sub, one_div] using
((tendsto_rpow_atTop (sub_pos.2 hlt)).comp tendsto_natCast_atTop_atTop).eventually
(eventually_gt_atTop C)
refine (this.and_frequently hC).mono ?_
rintro n ⟨hnC, hn, m, hne, hlt⟩
replace hn : (0 : ℝ) < n := Nat.cast_pos.2 hn
refine ⟨m, hne, hlt.trans <| (div_lt_iff <| rpow_pos_of_pos hn _).2 ?_⟩
rwa [mul_comm, ← rpow_add hn, ← sub_eq_add_neg]
#align liouville_with.frequently_lt_rpow_neg LiouvilleWith.frequently_lt_rpow_neg
theorem mul_rat (h : LiouvilleWith p x) (hr : r ≠ 0) : LiouvilleWith p (x * r) := by
rcases h.exists_pos with ⟨C, _hC₀, hC⟩
refine ⟨r.den ^ p * (|r| * C), (tendsto_id.nsmul_atTop r.pos).frequently (hC.mono ?_)⟩
rintro n ⟨_hn, m, hne, hlt⟩
have A : (↑(r.num * m) : ℝ) / ↑(r.den • id n) = m / n * r := by
simp [← div_mul_div_comm, ← r.cast_def, mul_comm]
refine ⟨r.num * m, ?_, ?_⟩
· rw [A]; simp [hne, hr]
· rw [A, ← sub_mul, abs_mul]
simp only [smul_eq_mul, id, Nat.cast_mul]
calc _ < C / ↑n ^ p * |↑r| := by gcongr
_ = ↑r.den ^ p * (↑|r| * C) / (↑r.den * ↑n) ^ p := ?_
rw [mul_rpow, mul_div_mul_left, mul_comm, mul_div_assoc]
· simp only [Rat.cast_abs, le_refl]
all_goals positivity
#align liouville_with.mul_rat LiouvilleWith.mul_rat
theorem mul_rat_iff (hr : r ≠ 0) : LiouvilleWith p (x * r) ↔ LiouvilleWith p x :=
⟨fun h => by
simpa only [mul_assoc, ← Rat.cast_mul, mul_inv_cancel hr, Rat.cast_one, mul_one] using
h.mul_rat (inv_ne_zero hr),
fun h => h.mul_rat hr⟩
#align liouville_with.mul_rat_iff LiouvilleWith.mul_rat_iff
theorem rat_mul_iff (hr : r ≠ 0) : LiouvilleWith p (r * x) ↔ LiouvilleWith p x := by
rw [mul_comm, mul_rat_iff hr]
#align liouville_with.rat_mul_iff LiouvilleWith.rat_mul_iff
theorem rat_mul (h : LiouvilleWith p x) (hr : r ≠ 0) : LiouvilleWith p (r * x) :=
(rat_mul_iff hr).2 h
#align liouville_with.rat_mul LiouvilleWith.rat_mul
theorem mul_int_iff (hm : m ≠ 0) : LiouvilleWith p (x * m) ↔ LiouvilleWith p x := by
rw [← Rat.cast_intCast, mul_rat_iff (Int.cast_ne_zero.2 hm)]
#align liouville_with.mul_int_iff LiouvilleWith.mul_int_iff
theorem mul_int (h : LiouvilleWith p x) (hm : m ≠ 0) : LiouvilleWith p (x * m) :=
(mul_int_iff hm).2 h
#align liouville_with.mul_int LiouvilleWith.mul_int
theorem int_mul_iff (hm : m ≠ 0) : LiouvilleWith p (m * x) ↔ LiouvilleWith p x := by
rw [mul_comm, mul_int_iff hm]
#align liouville_with.int_mul_iff LiouvilleWith.int_mul_iff
theorem int_mul (h : LiouvilleWith p x) (hm : m ≠ 0) : LiouvilleWith p (m * x) :=
(int_mul_iff hm).2 h
#align liouville_with.int_mul LiouvilleWith.int_mul
theorem mul_nat_iff (hn : n ≠ 0) : LiouvilleWith p (x * n) ↔ LiouvilleWith p x := by
rw [← Rat.cast_natCast, mul_rat_iff (Nat.cast_ne_zero.2 hn)]
#align liouville_with.mul_nat_iff LiouvilleWith.mul_nat_iff
theorem mul_nat (h : LiouvilleWith p x) (hn : n ≠ 0) : LiouvilleWith p (x * n) :=
(mul_nat_iff hn).2 h
#align liouville_with.mul_nat LiouvilleWith.mul_nat
theorem nat_mul_iff (hn : n ≠ 0) : LiouvilleWith p (n * x) ↔ LiouvilleWith p x := by
rw [mul_comm, mul_nat_iff hn]
#align liouville_with.nat_mul_iff LiouvilleWith.nat_mul_iff
theorem nat_mul (h : LiouvilleWith p x) (hn : n ≠ 0) : LiouvilleWith p (n * x) := by
rw [mul_comm]; exact h.mul_nat hn
#align liouville_with.nat_mul LiouvilleWith.nat_mul
theorem add_rat (h : LiouvilleWith p x) (r : ℚ) : LiouvilleWith p (x + r) := by
rcases h.exists_pos with ⟨C, _hC₀, hC⟩
refine ⟨r.den ^ p * C, (tendsto_id.nsmul_atTop r.pos).frequently (hC.mono ?_)⟩
rintro n ⟨hn, m, hne, hlt⟩
have : (↑(r.den * m + r.num * n : ℤ) / ↑(r.den • id n) : ℝ) = m / n + r := by
rw [Algebra.id.smul_eq_mul, id]
nth_rewrite 4 [← Rat.num_div_den r]
push_cast
rw [add_div, mul_div_mul_left _ _ (by positivity), mul_div_mul_right _ _ (by positivity)]
refine ⟨r.den * m + r.num * n, ?_⟩; rw [this, add_sub_add_right_eq_sub]
refine ⟨by simpa, hlt.trans_le (le_of_eq ?_)⟩
have : (r.den ^ p : ℝ) ≠ 0 := by positivity
simp [mul_rpow, Nat.cast_nonneg, mul_div_mul_left, this]
#align liouville_with.add_rat LiouvilleWith.add_rat
@[simp]
theorem add_rat_iff : LiouvilleWith p (x + r) ↔ LiouvilleWith p x :=
⟨fun h => by simpa using h.add_rat (-r), fun h => h.add_rat r⟩
#align liouville_with.add_rat_iff LiouvilleWith.add_rat_iff
@[simp]
theorem rat_add_iff : LiouvilleWith p (r + x) ↔ LiouvilleWith p x := by rw [add_comm, add_rat_iff]
#align liouville_with.rat_add_iff LiouvilleWith.rat_add_iff
theorem rat_add (h : LiouvilleWith p x) (r : ℚ) : LiouvilleWith p (r + x) :=
add_comm x r ▸ h.add_rat r
#align liouville_with.rat_add LiouvilleWith.rat_add
@[simp]
theorem add_int_iff : LiouvilleWith p (x + m) ↔ LiouvilleWith p x := by
rw [← Rat.cast_intCast m, add_rat_iff]
#align liouville_with.add_int_iff LiouvilleWith.add_int_iff
@[simp]
| Mathlib/NumberTheory/Liouville/LiouvilleWith.lean | 216 | 216 | theorem int_add_iff : LiouvilleWith p (m + x) ↔ LiouvilleWith p x := by | rw [add_comm, add_int_iff]
|
import Mathlib.Analysis.NormedSpace.Multilinear.Basic
#align_import analysis.normed_space.multilinear from "leanprover-community/mathlib"@"f40476639bac089693a489c9e354ebd75dc0f886"
suppress_compilation
noncomputable section
open NNReal Finset Metric ContinuousMultilinearMap Fin Function
universe u v v' wE wE₁ wE' wEi wG wG'
variable {𝕜 : Type u} {ι : Type v} {ι' : Type v'} {n : ℕ} {E : ι → Type wE} {E₁ : ι → Type wE₁}
{E' : ι' → Type wE'} {Ei : Fin n.succ → Type wEi} {G : Type wG} {G' : Type wG'} [Fintype ι]
[Fintype ι'] [NontriviallyNormedField 𝕜] [∀ i, NormedAddCommGroup (E i)]
[∀ i, NormedSpace 𝕜 (E i)] [∀ i, NormedAddCommGroup (E₁ i)] [∀ i, NormedSpace 𝕜 (E₁ i)]
[∀ i, NormedAddCommGroup (E' i)] [∀ i, NormedSpace 𝕜 (E' i)] [∀ i, NormedAddCommGroup (Ei i)]
[∀ i, NormedSpace 𝕜 (Ei i)] [NormedAddCommGroup G] [NormedSpace 𝕜 G] [NormedAddCommGroup G']
[NormedSpace 𝕜 G']
| Mathlib/Analysis/NormedSpace/Multilinear/Curry.lean | 61 | 70 | theorem ContinuousLinearMap.norm_map_tail_le
(f : Ei 0 →L[𝕜] ContinuousMultilinearMap 𝕜 (fun i : Fin n => Ei i.succ) G) (m : ∀ i, Ei i) :
‖f (m 0) (tail m)‖ ≤ ‖f‖ * ∏ i, ‖m i‖ :=
calc
‖f (m 0) (tail m)‖ ≤ ‖f (m 0)‖ * ∏ i, ‖(tail m) i‖ := (f (m 0)).le_opNorm _
_ ≤ ‖f‖ * ‖m 0‖ * ∏ i, ‖tail m i‖ := mul_le_mul_of_nonneg_right (f.le_opNorm _) <| by positivity
_ = ‖f‖ * (‖m 0‖ * ∏ i, ‖(tail m) i‖) := by | ring
_ = ‖f‖ * ∏ i, ‖m i‖ := by
rw [prod_univ_succ]
rfl
|
import Mathlib.CategoryTheory.Comma.Arrow
import Mathlib.CategoryTheory.Pi.Basic
import Mathlib.Order.CompleteBooleanAlgebra
#align_import category_theory.morphism_property from "leanprover-community/mathlib"@"7f963633766aaa3ebc8253100a5229dd463040c7"
universe w v v' u u'
open CategoryTheory Opposite
noncomputable section
namespace CategoryTheory
variable (C : Type u) [Category.{v} C] {D : Type*} [Category D]
def MorphismProperty :=
∀ ⦃X Y : C⦄ (_ : X ⟶ Y), Prop
#align category_theory.morphism_property CategoryTheory.MorphismProperty
instance : CompleteBooleanAlgebra (MorphismProperty C) where
le P₁ P₂ := ∀ ⦃X Y : C⦄ (f : X ⟶ Y), P₁ f → P₂ f
__ := inferInstanceAs (CompleteBooleanAlgebra (∀ ⦃X Y : C⦄ (_ : X ⟶ Y), Prop))
lemma MorphismProperty.le_def {P Q : MorphismProperty C} :
P ≤ Q ↔ ∀ {X Y : C} (f : X ⟶ Y), P f → Q f := Iff.rfl
instance : Inhabited (MorphismProperty C) :=
⟨⊤⟩
lemma MorphismProperty.top_eq : (⊤ : MorphismProperty C) = fun _ _ _ => True := rfl
variable {C}
namespace MorphismProperty
@[ext]
lemma ext (W W' : MorphismProperty C) (h : ∀ ⦃X Y : C⦄ (f : X ⟶ Y), W f ↔ W' f) :
W = W' := by
funext X Y f
rw [h]
@[simp]
lemma top_apply {X Y : C} (f : X ⟶ Y) : (⊤ : MorphismProperty C) f := by
simp only [top_eq]
@[simp]
def op (P : MorphismProperty C) : MorphismProperty Cᵒᵖ := fun _ _ f => P f.unop
#align category_theory.morphism_property.op CategoryTheory.MorphismProperty.op
@[simp]
def unop (P : MorphismProperty Cᵒᵖ) : MorphismProperty C := fun _ _ f => P f.op
#align category_theory.morphism_property.unop CategoryTheory.MorphismProperty.unop
theorem unop_op (P : MorphismProperty C) : P.op.unop = P :=
rfl
#align category_theory.morphism_property.unop_op CategoryTheory.MorphismProperty.unop_op
theorem op_unop (P : MorphismProperty Cᵒᵖ) : P.unop.op = P :=
rfl
#align category_theory.morphism_property.op_unop CategoryTheory.MorphismProperty.op_unop
def inverseImage (P : MorphismProperty D) (F : C ⥤ D) : MorphismProperty C := fun _ _ f =>
P (F.map f)
#align category_theory.morphism_property.inverse_image CategoryTheory.MorphismProperty.inverseImage
@[simp]
lemma inverseImage_iff (P : MorphismProperty D) (F : C ⥤ D) {X Y : C} (f : X ⟶ Y) :
P.inverseImage F f ↔ P (F.map f) := by rfl
def map (P : MorphismProperty C) (F : C ⥤ D) : MorphismProperty D := fun _ _ f =>
∃ (X' Y' : C) (f' : X' ⟶ Y') (_ : P f'), Nonempty (Arrow.mk (F.map f') ≅ Arrow.mk f)
lemma map_mem_map (P : MorphismProperty C) (F : C ⥤ D) {X Y : C} (f : X ⟶ Y) (hf : P f) :
(P.map F) (F.map f) := ⟨X, Y, f, hf, ⟨Iso.refl _⟩⟩
lemma monotone_map (F : C ⥤ D) :
Monotone (map · F) := by
intro P Q h X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact ⟨X', Y', f', h _ hf', ⟨e⟩⟩
def RespectsIso (P : MorphismProperty C) : Prop :=
(∀ {X Y Z} (e : X ≅ Y) (f : Y ⟶ Z), P f → P (e.hom ≫ f)) ∧
∀ {X Y Z} (e : Y ≅ Z) (f : X ⟶ Y), P f → P (f ≫ e.hom)
#align category_theory.morphism_property.respects_iso CategoryTheory.MorphismProperty.RespectsIso
theorem RespectsIso.op {P : MorphismProperty C} (h : RespectsIso P) : RespectsIso P.op :=
⟨fun e f hf => h.2 e.unop f.unop hf, fun e f hf => h.1 e.unop f.unop hf⟩
#align category_theory.morphism_property.respects_iso.op CategoryTheory.MorphismProperty.RespectsIso.op
theorem RespectsIso.unop {P : MorphismProperty Cᵒᵖ} (h : RespectsIso P) : RespectsIso P.unop :=
⟨fun e f hf => h.2 e.op f.op hf, fun e f hf => h.1 e.op f.op hf⟩
#align category_theory.morphism_property.respects_iso.unop CategoryTheory.MorphismProperty.RespectsIso.unop
def isoClosure (P : MorphismProperty C) : MorphismProperty C :=
fun _ _ f => ∃ (Y₁ Y₂ : C) (f' : Y₁ ⟶ Y₂) (_ : P f'), Nonempty (Arrow.mk f' ≅ Arrow.mk f)
lemma le_isoClosure (P : MorphismProperty C) : P ≤ P.isoClosure :=
fun _ _ f hf => ⟨_, _, f, hf, ⟨Iso.refl _⟩⟩
lemma isoClosure_respectsIso (P : MorphismProperty C) :
RespectsIso P.isoClosure :=
⟨fun e f ⟨_, _, f', hf', ⟨iso⟩⟩ =>
⟨_, _, f', hf', ⟨Arrow.isoMk (asIso iso.hom.left ≪≫ e.symm)
(asIso iso.hom.right) (by simp)⟩⟩,
fun e f ⟨_, _, f', hf', ⟨iso⟩⟩ =>
⟨_, _, f', hf', ⟨Arrow.isoMk (asIso iso.hom.left)
(asIso iso.hom.right ≪≫ e) (by simp)⟩⟩⟩
lemma monotone_isoClosure : Monotone (isoClosure (C := C)) := by
intro P Q h X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact ⟨X', Y', f', h _ hf', ⟨e⟩⟩
theorem RespectsIso.cancel_left_isIso {P : MorphismProperty C} (hP : RespectsIso P) {X Y Z : C}
(f : X ⟶ Y) (g : Y ⟶ Z) [IsIso f] : P (f ≫ g) ↔ P g :=
⟨fun h => by simpa using hP.1 (asIso f).symm (f ≫ g) h, hP.1 (asIso f) g⟩
#align category_theory.morphism_property.respects_iso.cancel_left_is_iso CategoryTheory.MorphismProperty.RespectsIso.cancel_left_isIso
theorem RespectsIso.cancel_right_isIso {P : MorphismProperty C} (hP : RespectsIso P) {X Y Z : C}
(f : X ⟶ Y) (g : Y ⟶ Z) [IsIso g] : P (f ≫ g) ↔ P f :=
⟨fun h => by simpa using hP.2 (asIso g).symm (f ≫ g) h, hP.2 (asIso g) f⟩
#align category_theory.morphism_property.respects_iso.cancel_right_is_iso CategoryTheory.MorphismProperty.RespectsIso.cancel_right_isIso
theorem RespectsIso.arrow_iso_iff {P : MorphismProperty C} (hP : RespectsIso P) {f g : Arrow C}
(e : f ≅ g) : P f.hom ↔ P g.hom := by
rw [← Arrow.inv_left_hom_right e.hom, hP.cancel_left_isIso, hP.cancel_right_isIso]
#align category_theory.morphism_property.respects_iso.arrow_iso_iff CategoryTheory.MorphismProperty.RespectsIso.arrow_iso_iff
theorem RespectsIso.arrow_mk_iso_iff {P : MorphismProperty C} (hP : RespectsIso P) {W X Y Z : C}
{f : W ⟶ X} {g : Y ⟶ Z} (e : Arrow.mk f ≅ Arrow.mk g) : P f ↔ P g :=
hP.arrow_iso_iff e
#align category_theory.morphism_property.respects_iso.arrow_mk_iso_iff CategoryTheory.MorphismProperty.RespectsIso.arrow_mk_iso_iff
theorem RespectsIso.of_respects_arrow_iso (P : MorphismProperty C)
(hP : ∀ (f g : Arrow C) (_ : f ≅ g) (_ : P f.hom), P g.hom) : RespectsIso P := by
constructor
· intro X Y Z e f hf
refine hP (Arrow.mk f) (Arrow.mk (e.hom ≫ f)) (Arrow.isoMk e.symm (Iso.refl _) ?_) hf
dsimp
simp only [Iso.inv_hom_id_assoc, Category.comp_id]
· intro X Y Z e f hf
refine hP (Arrow.mk f) (Arrow.mk (f ≫ e.hom)) (Arrow.isoMk (Iso.refl _) e ?_) hf
dsimp
simp only [Category.id_comp]
#align category_theory.morphism_property.respects_iso.of_respects_arrow_iso CategoryTheory.MorphismProperty.RespectsIso.of_respects_arrow_iso
lemma isoClosure_eq_iff {P : MorphismProperty C} :
P.isoClosure = P ↔ P.RespectsIso := by
refine ⟨(· ▸ P.isoClosure_respectsIso), fun hP ↦ le_antisymm ?_ (P.le_isoClosure)⟩
intro X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact (hP.arrow_mk_iso_iff e).1 hf'
lemma RespectsIso.isoClosure_eq {P : MorphismProperty C} (hP : P.RespectsIso) :
P.isoClosure = P := by rwa [isoClosure_eq_iff]
@[simp]
lemma isoClosure_isoClosure (P : MorphismProperty C) :
P.isoClosure.isoClosure = P.isoClosure :=
P.isoClosure_respectsIso.isoClosure_eq
lemma isoClosure_le_iff (P Q : MorphismProperty C) (hQ : RespectsIso Q) :
P.isoClosure ≤ Q ↔ P ≤ Q := by
constructor
· exact P.le_isoClosure.trans
· intro h
exact (monotone_isoClosure h).trans (by rw [hQ.isoClosure_eq])
lemma map_respectsIso (P : MorphismProperty C) (F : C ⥤ D) :
(P.map F).RespectsIso := by
apply RespectsIso.of_respects_arrow_iso
intro f g e ⟨X', Y', f', hf', ⟨e'⟩⟩
exact ⟨X', Y', f', hf', ⟨e' ≪≫ e⟩⟩
lemma map_le_iff {P : MorphismProperty C} {F : C ⥤ D} {Q : MorphismProperty D}
(hQ : RespectsIso Q) :
P.map F ≤ Q ↔ P ≤ Q.inverseImage F := by
constructor
· intro h X Y f hf
exact h (F.map f) (map_mem_map P F f hf)
· intro h X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact (hQ.arrow_mk_iso_iff e).1 (h _ hf')
@[simp]
lemma map_isoClosure (P : MorphismProperty C) (F : C ⥤ D) :
P.isoClosure.map F = P.map F := by
apply le_antisymm
· rw [map_le_iff (P.map_respectsIso F)]
intro X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact ⟨_, _, f', hf', ⟨F.mapArrow.mapIso e⟩⟩
· exact monotone_map _ (le_isoClosure P)
lemma map_id_eq_isoClosure (P : MorphismProperty C) :
P.map (𝟭 _) = P.isoClosure := by
apply le_antisymm
· rw [map_le_iff P.isoClosure_respectsIso]
intro X Y f hf
exact P.le_isoClosure _ hf
· intro X Y f hf
exact hf
lemma map_id (P : MorphismProperty C) (hP : RespectsIso P) :
P.map (𝟭 _) = P := by
rw [map_id_eq_isoClosure, hP.isoClosure_eq]
@[simp]
lemma map_map (P : MorphismProperty C) (F : C ⥤ D) {E : Type*} [Category E] (G : D ⥤ E) :
(P.map F).map G = P.map (F ⋙ G) := by
apply le_antisymm
· rw [map_le_iff (map_respectsIso _ (F ⋙ G))]
intro X Y f ⟨X', Y', f', hf', ⟨e⟩⟩
exact ⟨X', Y', f', hf', ⟨G.mapArrow.mapIso e⟩⟩
· rw [map_le_iff (map_respectsIso _ G)]
intro X Y f hf
exact map_mem_map _ _ _ (map_mem_map _ _ _ hf)
theorem RespectsIso.inverseImage {P : MorphismProperty D} (h : RespectsIso P) (F : C ⥤ D) :
RespectsIso (P.inverseImage F) := by
constructor
all_goals
intro X Y Z e f hf
dsimp [MorphismProperty.inverseImage]
rw [F.map_comp]
exacts [h.1 (F.mapIso e) (F.map f) hf, h.2 (F.mapIso e) (F.map f) hf]
#align category_theory.morphism_property.respects_iso.inverse_image CategoryTheory.MorphismProperty.RespectsIso.inverseImage
lemma map_eq_of_iso (P : MorphismProperty C) {F G : C ⥤ D} (e : F ≅ G) :
P.map F = P.map G := by
revert F G e
suffices ∀ {F G : C ⥤ D} (_ : F ≅ G), P.map F ≤ P.map G from
fun F G e => le_antisymm (this e) (this e.symm)
intro F G e X Y f ⟨X', Y', f', hf', ⟨e'⟩⟩
exact ⟨X', Y', f', hf', ⟨((Functor.mapArrowFunctor _ _).mapIso e.symm).app (Arrow.mk f') ≪≫ e'⟩⟩
lemma map_inverseImage_le (P : MorphismProperty D) (F : C ⥤ D) :
(P.inverseImage F).map F ≤ P.isoClosure :=
fun _ _ _ ⟨_, _, f, hf, ⟨e⟩⟩ => ⟨_, _, F.map f, hf, ⟨e⟩⟩
lemma inverseImage_equivalence_inverse_eq_map_functor
(P : MorphismProperty D) (hP : RespectsIso P) (E : C ≌ D) :
P.inverseImage E.functor = P.map E.inverse := by
apply le_antisymm
· intro X Y f hf
refine ⟨_, _, _, hf, ⟨?_⟩⟩
exact ((Functor.mapArrowFunctor _ _).mapIso E.unitIso.symm).app (Arrow.mk f)
· rw [map_le_iff (hP.inverseImage E.functor)]
intro X Y f hf
exact (hP.arrow_mk_iso_iff
(((Functor.mapArrowFunctor _ _).mapIso E.counitIso).app (Arrow.mk f))).2 hf
lemma inverseImage_equivalence_functor_eq_map_inverse
(Q : MorphismProperty C) (hQ : RespectsIso Q) (E : C ≌ D) :
Q.inverseImage E.inverse = Q.map E.functor :=
inverseImage_equivalence_inverse_eq_map_functor Q hQ E.symm
lemma map_inverseImage_eq_of_isEquivalence
(P : MorphismProperty D) (hP : P.RespectsIso) (F : C ⥤ D) [F.IsEquivalence] :
(P.inverseImage F).map F = P := by
erw [P.inverseImage_equivalence_inverse_eq_map_functor hP F.asEquivalence, map_map,
P.map_eq_of_iso F.asEquivalence.counitIso, map_id _ hP]
lemma inverseImage_map_eq_of_isEquivalence
(P : MorphismProperty C) (hP : P.RespectsIso) (F : C ⥤ D) [F.IsEquivalence] :
(P.map F).inverseImage F = P := by
erw [((P.map F).inverseImage_equivalence_inverse_eq_map_functor
(P.map_respectsIso F) (F.asEquivalence)), map_map,
P.map_eq_of_iso F.asEquivalence.unitIso.symm, map_id _ hP]
variable (C)
def isomorphisms : MorphismProperty C := fun _ _ f => IsIso f
#align category_theory.morphism_property.isomorphisms CategoryTheory.MorphismProperty.isomorphisms
def monomorphisms : MorphismProperty C := fun _ _ f => Mono f
#align category_theory.morphism_property.monomorphisms CategoryTheory.MorphismProperty.monomorphisms
def epimorphisms : MorphismProperty C := fun _ _ f => Epi f
#align category_theory.morphism_property.epimorphisms CategoryTheory.MorphismProperty.epimorphisms
section
variable {C}
variable {X Y : C} (f : X ⟶ Y)
@[simp]
| Mathlib/CategoryTheory/MorphismProperty/Basic.lean | 313 | 313 | theorem isomorphisms.iff : (isomorphisms C) f ↔ IsIso f := by | rfl
|
import Mathlib.RingTheory.Ideal.Operations
import Mathlib.Algebra.Module.Torsion
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.RingTheory.Filtration
import Mathlib.RingTheory.Nakayama
#align_import ring_theory.ideal.cotangent from "leanprover-community/mathlib"@"4b92a463033b5587bb011657e25e4710bfca7364"
namespace Ideal
-- Porting note: universes need to be explicit to avoid bad universe levels in `quotCotangent`
universe u v w
variable {R : Type u} {S : Type v} {S' : Type w} [CommRing R] [CommSemiring S] [Algebra S R]
variable [CommSemiring S'] [Algebra S' R] [Algebra S S'] [IsScalarTower S S' R] (I : Ideal R)
-- Porting note: instances that were derived automatically need to be proved by hand (see below)
def Cotangent : Type _ := I ⧸ (I • ⊤ : Submodule R I)
#align ideal.cotangent Ideal.Cotangent
instance : AddCommGroup I.Cotangent := by delta Cotangent; infer_instance
instance cotangentModule : Module (R ⧸ I) I.Cotangent := by delta Cotangent; infer_instance
instance : Inhabited I.Cotangent := ⟨0⟩
instance Cotangent.moduleOfTower : Module S I.Cotangent :=
Submodule.Quotient.module' _
#align ideal.cotangent.module_of_tower Ideal.Cotangent.moduleOfTower
instance Cotangent.isScalarTower : IsScalarTower S S' I.Cotangent :=
Submodule.Quotient.isScalarTower _ _
#align ideal.cotangent.is_scalar_tower Ideal.Cotangent.isScalarTower
instance [IsNoetherian R I] : IsNoetherian R I.Cotangent :=
inferInstanceAs (IsNoetherian R (I ⧸ (I • ⊤ : Submodule R I)))
@[simps! (config := .lemmasOnly) apply]
def toCotangent : I →ₗ[R] I.Cotangent := Submodule.mkQ _
#align ideal.to_cotangent Ideal.toCotangent
| Mathlib/RingTheory/Ideal/Cotangent.lean | 63 | 65 | theorem map_toCotangent_ker : I.toCotangent.ker.map I.subtype = I ^ 2 := by |
rw [Ideal.toCotangent, Submodule.ker_mkQ, pow_two, Submodule.map_smul'' I ⊤ (Submodule.subtype I),
Algebra.id.smul_eq_mul, Submodule.map_subtype_top]
|
import Mathlib.Data.ENNReal.Real
import Mathlib.Order.Interval.Finset.Nat
import Mathlib.Topology.UniformSpace.Pi
import Mathlib.Topology.UniformSpace.UniformConvergence
import Mathlib.Topology.UniformSpace.UniformEmbedding
#align_import topology.metric_space.emetric_space from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328"
open Set Filter Classical
open scoped Uniformity Topology Filter NNReal ENNReal Pointwise
universe u v w
variable {α : Type u} {β : Type v} {X : Type*}
theorem uniformity_dist_of_mem_uniformity [LinearOrder β] {U : Filter (α × α)} (z : β)
(D : α → α → β) (H : ∀ s, s ∈ U ↔ ∃ ε > z, ∀ {a b : α}, D a b < ε → (a, b) ∈ s) :
U = ⨅ ε > z, 𝓟 { p : α × α | D p.1 p.2 < ε } :=
HasBasis.eq_biInf ⟨fun s => by simp only [H, subset_def, Prod.forall, mem_setOf]⟩
#align uniformity_dist_of_mem_uniformity uniformity_dist_of_mem_uniformity
@[ext]
class EDist (α : Type*) where
edist : α → α → ℝ≥0∞
#align has_edist EDist
export EDist (edist)
def uniformSpaceOfEDist (edist : α → α → ℝ≥0∞) (edist_self : ∀ x : α, edist x x = 0)
(edist_comm : ∀ x y : α, edist x y = edist y x)
(edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z) : UniformSpace α :=
.ofFun edist edist_self edist_comm edist_triangle fun ε ε0 =>
⟨ε / 2, ENNReal.half_pos ε0.ne', fun _ h₁ _ h₂ =>
(ENNReal.add_lt_add h₁ h₂).trans_eq (ENNReal.add_halves _)⟩
#align uniform_space_of_edist uniformSpaceOfEDist
-- the uniform structure is embedded in the emetric space structure
-- to avoid instance diamond issues. See Note [forgetful inheritance].
class PseudoEMetricSpace (α : Type u) extends EDist α : Type u where
edist_self : ∀ x : α, edist x x = 0
edist_comm : ∀ x y : α, edist x y = edist y x
edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z
toUniformSpace : UniformSpace α := uniformSpaceOfEDist edist edist_self edist_comm edist_triangle
uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by rfl
#align pseudo_emetric_space PseudoEMetricSpace
attribute [instance] PseudoEMetricSpace.toUniformSpace
@[ext]
protected theorem PseudoEMetricSpace.ext {α : Type*} {m m' : PseudoEMetricSpace α}
(h : m.toEDist = m'.toEDist) : m = m' := by
cases' m with ed _ _ _ U hU
cases' m' with ed' _ _ _ U' hU'
congr 1
exact UniformSpace.ext (((show ed = ed' from h) ▸ hU).trans hU'.symm)
variable [PseudoEMetricSpace α]
export PseudoEMetricSpace (edist_self edist_comm edist_triangle)
attribute [simp] edist_self
theorem edist_triangle_left (x y z : α) : edist x y ≤ edist z x + edist z y := by
rw [edist_comm z]; apply edist_triangle
#align edist_triangle_left edist_triangle_left
theorem edist_triangle_right (x y z : α) : edist x y ≤ edist x z + edist y z := by
rw [edist_comm y]; apply edist_triangle
#align edist_triangle_right edist_triangle_right
theorem edist_congr_right {x y z : α} (h : edist x y = 0) : edist x z = edist y z := by
apply le_antisymm
· rw [← zero_add (edist y z), ← h]
apply edist_triangle
· rw [edist_comm] at h
rw [← zero_add (edist x z), ← h]
apply edist_triangle
#align edist_congr_right edist_congr_right
theorem edist_congr_left {x y z : α} (h : edist x y = 0) : edist z x = edist z y := by
rw [edist_comm z x, edist_comm z y]
apply edist_congr_right h
#align edist_congr_left edist_congr_left
-- new theorem
theorem edist_congr {w x y z : α} (hl : edist w x = 0) (hr : edist y z = 0) :
edist w y = edist x z :=
(edist_congr_right hl).trans (edist_congr_left hr)
theorem edist_triangle4 (x y z t : α) : edist x t ≤ edist x y + edist y z + edist z t :=
calc
edist x t ≤ edist x z + edist z t := edist_triangle x z t
_ ≤ edist x y + edist y z + edist z t := add_le_add_right (edist_triangle x y z) _
#align edist_triangle4 edist_triangle4
theorem edist_le_Ico_sum_edist (f : ℕ → α) {m n} (h : m ≤ n) :
edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, edist (f i) (f (i + 1)) := by
induction n, h using Nat.le_induction with
| base => rw [Finset.Ico_self, Finset.sum_empty, edist_self]
| succ n hle ihn =>
calc
edist (f m) (f (n + 1)) ≤ edist (f m) (f n) + edist (f n) (f (n + 1)) := edist_triangle _ _ _
_ ≤ (∑ i ∈ Finset.Ico m n, _) + _ := add_le_add ihn le_rfl
_ = ∑ i ∈ Finset.Ico m (n + 1), _ := by
{ rw [Nat.Ico_succ_right_eq_insert_Ico hle, Finset.sum_insert, add_comm]; simp }
#align edist_le_Ico_sum_edist edist_le_Ico_sum_edist
theorem edist_le_range_sum_edist (f : ℕ → α) (n : ℕ) :
edist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, edist (f i) (f (i + 1)) :=
Nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_edist f (Nat.zero_le n)
#align edist_le_range_sum_edist edist_le_range_sum_edist
theorem edist_le_Ico_sum_of_edist_le {f : ℕ → α} {m n} (hmn : m ≤ n) {d : ℕ → ℝ≥0∞}
(hd : ∀ {k}, m ≤ k → k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, d i :=
le_trans (edist_le_Ico_sum_edist f hmn) <|
Finset.sum_le_sum fun _k hk => hd (Finset.mem_Ico.1 hk).1 (Finset.mem_Ico.1 hk).2
#align edist_le_Ico_sum_of_edist_le edist_le_Ico_sum_of_edist_le
theorem edist_le_range_sum_of_edist_le {f : ℕ → α} (n : ℕ) {d : ℕ → ℝ≥0∞}
(hd : ∀ {k}, k < n → edist (f k) (f (k + 1)) ≤ d k) :
edist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, d i :=
Nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_of_edist_le (zero_le n) fun _ => hd
#align edist_le_range_sum_of_edist_le edist_le_range_sum_of_edist_le
theorem uniformity_pseudoedist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } :=
PseudoEMetricSpace.uniformity_edist
#align uniformity_pseudoedist uniformity_pseudoedist
theorem uniformSpace_edist :
‹PseudoEMetricSpace α›.toUniformSpace =
uniformSpaceOfEDist edist edist_self edist_comm edist_triangle :=
UniformSpace.ext uniformity_pseudoedist
#align uniform_space_edist uniformSpace_edist
theorem uniformity_basis_edist :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 < ε } :=
(@uniformSpace_edist α _).symm ▸ UniformSpace.hasBasis_ofFun ⟨1, one_pos⟩ _ _ _ _ _
#align uniformity_basis_edist uniformity_basis_edist
theorem mem_uniformity_edist {s : Set (α × α)} :
s ∈ 𝓤 α ↔ ∃ ε > 0, ∀ {a b : α}, edist a b < ε → (a, b) ∈ s :=
uniformity_basis_edist.mem_uniformity_iff
#align mem_uniformity_edist mem_uniformity_edist
protected theorem EMetric.mk_uniformity_basis {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) :
(𝓤 α).HasBasis p fun x => { p : α × α | edist p.1 p.2 < f x } := by
refine ⟨fun s => uniformity_basis_edist.mem_iff.trans ?_⟩
constructor
· rintro ⟨ε, ε₀, hε⟩
rcases hf ε ε₀ with ⟨i, hi, H⟩
exact ⟨i, hi, fun x hx => hε <| lt_of_lt_of_le hx.out H⟩
· exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, H⟩
#align emetric.mk_uniformity_basis EMetric.mk_uniformity_basis
protected theorem EMetric.mk_uniformity_basis_le {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞}
(hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) :
(𝓤 α).HasBasis p fun x => { p : α × α | edist p.1 p.2 ≤ f x } := by
refine ⟨fun s => uniformity_basis_edist.mem_iff.trans ?_⟩
constructor
· rintro ⟨ε, ε₀, hε⟩
rcases exists_between ε₀ with ⟨ε', hε'⟩
rcases hf ε' hε'.1 with ⟨i, hi, H⟩
exact ⟨i, hi, fun x hx => hε <| lt_of_le_of_lt (le_trans hx.out H) hε'.2⟩
· exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, fun x hx => H (le_of_lt hx.out)⟩
#align emetric.mk_uniformity_basis_le EMetric.mk_uniformity_basis_le
theorem uniformity_basis_edist_le :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => id) fun ε ε₀ => ⟨ε, ε₀, le_refl ε⟩
#align uniformity_basis_edist_le uniformity_basis_edist_le
theorem uniformity_basis_edist' (ε' : ℝ≥0∞) (hε' : 0 < ε') :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => ε ∈ Ioo 0 ε') fun ε => { p : α × α | edist p.1 p.2 < ε } :=
EMetric.mk_uniformity_basis (fun _ => And.left) fun ε ε₀ =>
let ⟨δ, hδ⟩ := exists_between hε'
⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩
#align uniformity_basis_edist' uniformity_basis_edist'
theorem uniformity_basis_edist_le' (ε' : ℝ≥0∞) (hε' : 0 < ε') :
(𝓤 α).HasBasis (fun ε : ℝ≥0∞ => ε ∈ Ioo 0 ε') fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => And.left) fun ε ε₀ =>
let ⟨δ, hδ⟩ := exists_between hε'
⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩
#align uniformity_basis_edist_le' uniformity_basis_edist_le'
theorem uniformity_basis_edist_nnreal :
(𝓤 α).HasBasis (fun ε : ℝ≥0 => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 < ε } :=
EMetric.mk_uniformity_basis (fun _ => ENNReal.coe_pos.2) fun _ε ε₀ =>
let ⟨δ, hδ⟩ := ENNReal.lt_iff_exists_nnreal_btwn.1 ε₀
⟨δ, ENNReal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩
#align uniformity_basis_edist_nnreal uniformity_basis_edist_nnreal
theorem uniformity_basis_edist_nnreal_le :
(𝓤 α).HasBasis (fun ε : ℝ≥0 => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 ≤ ε } :=
EMetric.mk_uniformity_basis_le (fun _ => ENNReal.coe_pos.2) fun _ε ε₀ =>
let ⟨δ, hδ⟩ := ENNReal.lt_iff_exists_nnreal_btwn.1 ε₀
⟨δ, ENNReal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩
#align uniformity_basis_edist_nnreal_le uniformity_basis_edist_nnreal_le
theorem uniformity_basis_edist_inv_nat :
(𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | edist p.1 p.2 < (↑n)⁻¹ } :=
EMetric.mk_uniformity_basis (fun n _ ↦ ENNReal.inv_pos.2 <| ENNReal.natCast_ne_top n) fun _ε ε₀ ↦
let ⟨n, hn⟩ := ENNReal.exists_inv_nat_lt (ne_of_gt ε₀)
⟨n, trivial, le_of_lt hn⟩
#align uniformity_basis_edist_inv_nat uniformity_basis_edist_inv_nat
theorem uniformity_basis_edist_inv_two_pow :
(𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | edist p.1 p.2 < 2⁻¹ ^ n } :=
EMetric.mk_uniformity_basis (fun _ _ => ENNReal.pow_pos (ENNReal.inv_pos.2 ENNReal.two_ne_top) _)
fun _ε ε₀ =>
let ⟨n, hn⟩ := ENNReal.exists_inv_two_pow_lt (ne_of_gt ε₀)
⟨n, trivial, le_of_lt hn⟩
#align uniformity_basis_edist_inv_two_pow uniformity_basis_edist_inv_two_pow
theorem edist_mem_uniformity {ε : ℝ≥0∞} (ε0 : 0 < ε) : { p : α × α | edist p.1 p.2 < ε } ∈ 𝓤 α :=
mem_uniformity_edist.2 ⟨ε, ε0, id⟩
#align edist_mem_uniformity edist_mem_uniformity
namespace EMetric
instance (priority := 900) instIsCountablyGeneratedUniformity : IsCountablyGenerated (𝓤 α) :=
isCountablyGenerated_of_seq ⟨_, uniformity_basis_edist_inv_nat.eq_iInf⟩
-- Porting note: changed explicit/implicit
theorem uniformContinuousOn_iff [PseudoEMetricSpace β] {f : α → β} {s : Set α} :
UniformContinuousOn f s ↔
∀ ε > 0, ∃ δ > 0, ∀ {a}, a ∈ s → ∀ {b}, b ∈ s → edist a b < δ → edist (f a) (f b) < ε :=
uniformity_basis_edist.uniformContinuousOn_iff uniformity_basis_edist
#align emetric.uniform_continuous_on_iff EMetric.uniformContinuousOn_iff
theorem uniformContinuous_iff [PseudoEMetricSpace β] {f : α → β} :
UniformContinuous f ↔ ∀ ε > 0, ∃ δ > 0, ∀ {a b : α}, edist a b < δ → edist (f a) (f b) < ε :=
uniformity_basis_edist.uniformContinuous_iff uniformity_basis_edist
#align emetric.uniform_continuous_iff EMetric.uniformContinuous_iff
-- Porting note (#10756): new lemma
theorem uniformInducing_iff [PseudoEMetricSpace β] {f : α → β} :
UniformInducing f ↔ UniformContinuous f ∧
∀ δ > 0, ∃ ε > 0, ∀ {a b : α}, edist (f a) (f b) < ε → edist a b < δ :=
uniformInducing_iff'.trans <| Iff.rfl.and <|
((uniformity_basis_edist.comap _).le_basis_iff uniformity_basis_edist).trans <| by
simp only [subset_def, Prod.forall]; rfl
nonrec theorem uniformEmbedding_iff [PseudoEMetricSpace β] {f : α → β} :
UniformEmbedding f ↔ Function.Injective f ∧ UniformContinuous f ∧
∀ δ > 0, ∃ ε > 0, ∀ {a b : α}, edist (f a) (f b) < ε → edist a b < δ :=
(uniformEmbedding_iff _).trans <| and_comm.trans <| Iff.rfl.and uniformInducing_iff
#align emetric.uniform_embedding_iff EMetric.uniformEmbedding_iff
theorem controlled_of_uniformEmbedding [PseudoEMetricSpace β] {f : α → β} (h : UniformEmbedding f) :
(∀ ε > 0, ∃ δ > 0, ∀ {a b : α}, edist a b < δ → edist (f a) (f b) < ε) ∧
∀ δ > 0, ∃ ε > 0, ∀ {a b : α}, edist (f a) (f b) < ε → edist a b < δ :=
⟨uniformContinuous_iff.1 h.uniformContinuous, (uniformEmbedding_iff.1 h).2.2⟩
#align emetric.controlled_of_uniform_embedding EMetric.controlled_of_uniformEmbedding
protected theorem cauchy_iff {f : Filter α} :
Cauchy f ↔ f ≠ ⊥ ∧ ∀ ε > 0, ∃ t ∈ f, ∀ x, x ∈ t → ∀ y, y ∈ t → edist x y < ε := by
rw [← neBot_iff]; exact uniformity_basis_edist.cauchy_iff
#align emetric.cauchy_iff EMetric.cauchy_iff
theorem complete_of_convergent_controlled_sequences (B : ℕ → ℝ≥0∞) (hB : ∀ n, 0 < B n)
(H : ∀ u : ℕ → α, (∀ N n m : ℕ, N ≤ n → N ≤ m → edist (u n) (u m) < B N) →
∃ x, Tendsto u atTop (𝓝 x)) :
CompleteSpace α :=
UniformSpace.complete_of_convergent_controlled_sequences
(fun n => { p : α × α | edist p.1 p.2 < B n }) (fun n => edist_mem_uniformity <| hB n) H
#align emetric.complete_of_convergent_controlled_sequences EMetric.complete_of_convergent_controlled_sequences
theorem complete_of_cauchySeq_tendsto :
(∀ u : ℕ → α, CauchySeq u → ∃ a, Tendsto u atTop (𝓝 a)) → CompleteSpace α :=
UniformSpace.complete_of_cauchySeq_tendsto
#align emetric.complete_of_cauchy_seq_tendsto EMetric.complete_of_cauchySeq_tendsto
theorem tendstoLocallyUniformlyOn_iff {ι : Type*} [TopologicalSpace β] {F : ι → β → α} {f : β → α}
{p : Filter ι} {s : Set β} :
TendstoLocallyUniformlyOn F f p s ↔
∀ ε > 0, ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∀ᶠ n in p, ∀ y ∈ t, edist (f y) (F n y) < ε := by
refine ⟨fun H ε hε => H _ (edist_mem_uniformity hε), fun H u hu x hx => ?_⟩
rcases mem_uniformity_edist.1 hu with ⟨ε, εpos, hε⟩
rcases H ε εpos x hx with ⟨t, ht, Ht⟩
exact ⟨t, ht, Ht.mono fun n hs x hx => hε (hs x hx)⟩
#align emetric.tendsto_locally_uniformly_on_iff EMetric.tendstoLocallyUniformlyOn_iff
theorem tendstoUniformlyOn_iff {ι : Type*} {F : ι → β → α} {f : β → α} {p : Filter ι} {s : Set β} :
TendstoUniformlyOn F f p s ↔ ∀ ε > 0, ∀ᶠ n in p, ∀ x ∈ s, edist (f x) (F n x) < ε := by
refine ⟨fun H ε hε => H _ (edist_mem_uniformity hε), fun H u hu => ?_⟩
rcases mem_uniformity_edist.1 hu with ⟨ε, εpos, hε⟩
exact (H ε εpos).mono fun n hs x hx => hε (hs x hx)
#align emetric.tendsto_uniformly_on_iff EMetric.tendstoUniformlyOn_iff
| Mathlib/Topology/EMetricSpace/Basic.lean | 376 | 381 | theorem tendstoLocallyUniformly_iff {ι : Type*} [TopologicalSpace β] {F : ι → β → α} {f : β → α}
{p : Filter ι} :
TendstoLocallyUniformly F f p ↔
∀ ε > 0, ∀ x : β, ∃ t ∈ 𝓝 x, ∀ᶠ n in p, ∀ y ∈ t, edist (f y) (F n y) < ε := by |
simp only [← tendstoLocallyUniformlyOn_univ, tendstoLocallyUniformlyOn_iff, mem_univ,
forall_const, exists_prop, nhdsWithin_univ]
|
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import analysis.inner_product_space.adjoint from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open RCLike
open scoped ComplexConjugate
variable {𝕜 E F G : Type*} [RCLike 𝕜]
variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G]
variable [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 F] [InnerProductSpace 𝕜 G]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y
open InnerProductSpace
namespace ContinuousLinearMap
variable [CompleteSpace E] [CompleteSpace G]
-- Note: made noncomputable to stop excess compilation
-- leanprover-community/mathlib4#7103
noncomputable def adjointAux : (E →L[𝕜] F) →L⋆[𝕜] F →L[𝕜] E :=
(ContinuousLinearMap.compSL _ _ _ _ _ ((toDual 𝕜 E).symm : NormedSpace.Dual 𝕜 E →L⋆[𝕜] E)).comp
(toSesqForm : (E →L[𝕜] F) →L[𝕜] F →L⋆[𝕜] NormedSpace.Dual 𝕜 E)
#align continuous_linear_map.adjoint_aux ContinuousLinearMap.adjointAux
@[simp]
theorem adjointAux_apply (A : E →L[𝕜] F) (x : F) :
adjointAux A x = ((toDual 𝕜 E).symm : NormedSpace.Dual 𝕜 E → E) ((toSesqForm A) x) :=
rfl
#align continuous_linear_map.adjoint_aux_apply ContinuousLinearMap.adjointAux_apply
theorem adjointAux_inner_left (A : E →L[𝕜] F) (x : E) (y : F) : ⟪adjointAux A y, x⟫ = ⟪y, A x⟫ := by
rw [adjointAux_apply, toDual_symm_apply, toSesqForm_apply_coe, coe_comp', innerSL_apply_coe,
Function.comp_apply]
#align continuous_linear_map.adjoint_aux_inner_left ContinuousLinearMap.adjointAux_inner_left
theorem adjointAux_inner_right (A : E →L[𝕜] F) (x : E) (y : F) :
⟪x, adjointAux A y⟫ = ⟪A x, y⟫ := by
rw [← inner_conj_symm, adjointAux_inner_left, inner_conj_symm]
#align continuous_linear_map.adjoint_aux_inner_right ContinuousLinearMap.adjointAux_inner_right
variable [CompleteSpace F]
theorem adjointAux_adjointAux (A : E →L[𝕜] F) : adjointAux (adjointAux A) = A := by
ext v
refine ext_inner_left 𝕜 fun w => ?_
rw [adjointAux_inner_right, adjointAux_inner_left]
#align continuous_linear_map.adjoint_aux_adjoint_aux ContinuousLinearMap.adjointAux_adjointAux
@[simp]
theorem adjointAux_norm (A : E →L[𝕜] F) : ‖adjointAux A‖ = ‖A‖ := by
refine le_antisymm ?_ ?_
· refine ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg _) fun x => ?_
rw [adjointAux_apply, LinearIsometryEquiv.norm_map]
exact toSesqForm_apply_norm_le
· nth_rw 1 [← adjointAux_adjointAux A]
refine ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg _) fun x => ?_
rw [adjointAux_apply, LinearIsometryEquiv.norm_map]
exact toSesqForm_apply_norm_le
#align continuous_linear_map.adjoint_aux_norm ContinuousLinearMap.adjointAux_norm
def adjoint : (E →L[𝕜] F) ≃ₗᵢ⋆[𝕜] F →L[𝕜] E :=
LinearIsometryEquiv.ofSurjective { adjointAux with norm_map' := adjointAux_norm } fun A =>
⟨adjointAux A, adjointAux_adjointAux A⟩
#align continuous_linear_map.adjoint ContinuousLinearMap.adjoint
scoped[InnerProduct] postfix:1000 "†" => ContinuousLinearMap.adjoint
open InnerProduct
theorem adjoint_inner_left (A : E →L[𝕜] F) (x : E) (y : F) : ⟪(A†) y, x⟫ = ⟪y, A x⟫ :=
adjointAux_inner_left A x y
#align continuous_linear_map.adjoint_inner_left ContinuousLinearMap.adjoint_inner_left
theorem adjoint_inner_right (A : E →L[𝕜] F) (x : E) (y : F) : ⟪x, (A†) y⟫ = ⟪A x, y⟫ :=
adjointAux_inner_right A x y
#align continuous_linear_map.adjoint_inner_right ContinuousLinearMap.adjoint_inner_right
@[simp]
theorem adjoint_adjoint (A : E →L[𝕜] F) : A†† = A :=
adjointAux_adjointAux A
#align continuous_linear_map.adjoint_adjoint ContinuousLinearMap.adjoint_adjoint
@[simp]
theorem adjoint_comp (A : F →L[𝕜] G) (B : E →L[𝕜] F) : (A ∘L B)† = B† ∘L A† := by
ext v
refine ext_inner_left 𝕜 fun w => ?_
simp only [adjoint_inner_right, ContinuousLinearMap.coe_comp', Function.comp_apply]
#align continuous_linear_map.adjoint_comp ContinuousLinearMap.adjoint_comp
theorem apply_norm_sq_eq_inner_adjoint_left (A : E →L[𝕜] F) (x : E) :
‖A x‖ ^ 2 = re ⟪(A† ∘L A) x, x⟫ := by
have h : ⟪(A† ∘L A) x, x⟫ = ⟪A x, A x⟫ := by rw [← adjoint_inner_left]; rfl
rw [h, ← inner_self_eq_norm_sq (𝕜 := 𝕜) _]
#align continuous_linear_map.apply_norm_sq_eq_inner_adjoint_left ContinuousLinearMap.apply_norm_sq_eq_inner_adjoint_left
theorem apply_norm_eq_sqrt_inner_adjoint_left (A : E →L[𝕜] F) (x : E) :
‖A x‖ = √(re ⟪(A† ∘L A) x, x⟫) := by
rw [← apply_norm_sq_eq_inner_adjoint_left, Real.sqrt_sq (norm_nonneg _)]
#align continuous_linear_map.apply_norm_eq_sqrt_inner_adjoint_left ContinuousLinearMap.apply_norm_eq_sqrt_inner_adjoint_left
theorem apply_norm_sq_eq_inner_adjoint_right (A : E →L[𝕜] F) (x : E) :
‖A x‖ ^ 2 = re ⟪x, (A† ∘L A) x⟫ := by
have h : ⟪x, (A† ∘L A) x⟫ = ⟪A x, A x⟫ := by rw [← adjoint_inner_right]; rfl
rw [h, ← inner_self_eq_norm_sq (𝕜 := 𝕜) _]
#align continuous_linear_map.apply_norm_sq_eq_inner_adjoint_right ContinuousLinearMap.apply_norm_sq_eq_inner_adjoint_right
theorem apply_norm_eq_sqrt_inner_adjoint_right (A : E →L[𝕜] F) (x : E) :
‖A x‖ = √(re ⟪x, (A† ∘L A) x⟫) := by
rw [← apply_norm_sq_eq_inner_adjoint_right, Real.sqrt_sq (norm_nonneg _)]
#align continuous_linear_map.apply_norm_eq_sqrt_inner_adjoint_right ContinuousLinearMap.apply_norm_eq_sqrt_inner_adjoint_right
theorem eq_adjoint_iff (A : E →L[𝕜] F) (B : F →L[𝕜] E) : A = B† ↔ ∀ x y, ⟪A x, y⟫ = ⟪x, B y⟫ := by
refine ⟨fun h x y => by rw [h, adjoint_inner_left], fun h => ?_⟩
ext x
exact ext_inner_right 𝕜 fun y => by simp only [adjoint_inner_left, h x y]
#align continuous_linear_map.eq_adjoint_iff ContinuousLinearMap.eq_adjoint_iff
@[simp]
theorem adjoint_id :
ContinuousLinearMap.adjoint (ContinuousLinearMap.id 𝕜 E) = ContinuousLinearMap.id 𝕜 E := by
refine Eq.symm ?_
rw [eq_adjoint_iff]
simp
#align continuous_linear_map.adjoint_id ContinuousLinearMap.adjoint_id
theorem _root_.Submodule.adjoint_subtypeL (U : Submodule 𝕜 E) [CompleteSpace U] :
U.subtypeL† = orthogonalProjection U := by
symm
rw [eq_adjoint_iff]
intro x u
rw [U.coe_inner, inner_orthogonalProjection_left_eq_right,
orthogonalProjection_mem_subspace_eq_self]
rfl
set_option linter.uppercaseLean3 false in
#align submodule.adjoint_subtypeL Submodule.adjoint_subtypeL
theorem _root_.Submodule.adjoint_orthogonalProjection (U : Submodule 𝕜 E) [CompleteSpace U] :
(orthogonalProjection U : E →L[𝕜] U)† = U.subtypeL := by
rw [← U.adjoint_subtypeL, adjoint_adjoint]
#align submodule.adjoint_orthogonal_projection Submodule.adjoint_orthogonalProjection
instance : Star (E →L[𝕜] E) :=
⟨adjoint⟩
instance : InvolutiveStar (E →L[𝕜] E) :=
⟨adjoint_adjoint⟩
instance : StarMul (E →L[𝕜] E) :=
⟨adjoint_comp⟩
instance : StarRing (E →L[𝕜] E) :=
⟨LinearIsometryEquiv.map_add adjoint⟩
instance : StarModule 𝕜 (E →L[𝕜] E) :=
⟨LinearIsometryEquiv.map_smulₛₗ adjoint⟩
theorem star_eq_adjoint (A : E →L[𝕜] E) : star A = A† :=
rfl
#align continuous_linear_map.star_eq_adjoint ContinuousLinearMap.star_eq_adjoint
theorem isSelfAdjoint_iff' {A : E →L[𝕜] E} : IsSelfAdjoint A ↔ ContinuousLinearMap.adjoint A = A :=
Iff.rfl
#align continuous_linear_map.is_self_adjoint_iff' ContinuousLinearMap.isSelfAdjoint_iff'
| Mathlib/Analysis/InnerProductSpace/Adjoint.lean | 223 | 240 | theorem norm_adjoint_comp_self (A : E →L[𝕜] F) :
‖ContinuousLinearMap.adjoint A ∘L A‖ = ‖A‖ * ‖A‖ := by |
refine le_antisymm ?_ ?_
· calc
‖A† ∘L A‖ ≤ ‖A†‖ * ‖A‖ := opNorm_comp_le _ _
_ = ‖A‖ * ‖A‖ := by rw [LinearIsometryEquiv.norm_map]
· rw [← sq, ← Real.sqrt_le_sqrt_iff (norm_nonneg _), Real.sqrt_sq (norm_nonneg _)]
refine opNorm_le_bound _ (Real.sqrt_nonneg _) fun x => ?_
have :=
calc
re ⟪(A† ∘L A) x, x⟫ ≤ ‖(A† ∘L A) x‖ * ‖x‖ := re_inner_le_norm _ _
_ ≤ ‖A† ∘L A‖ * ‖x‖ * ‖x‖ := mul_le_mul_of_nonneg_right (le_opNorm _ _) (norm_nonneg _)
calc
‖A x‖ = √(re ⟪(A† ∘L A) x, x⟫) := by rw [apply_norm_eq_sqrt_inner_adjoint_left]
_ ≤ √(‖A† ∘L A‖ * ‖x‖ * ‖x‖) := Real.sqrt_le_sqrt this
_ = √‖A† ∘L A‖ * ‖x‖ := by
simp_rw [mul_assoc, Real.sqrt_mul (norm_nonneg _) (‖x‖ * ‖x‖),
Real.sqrt_mul_self (norm_nonneg x)]
|
import Mathlib.Analysis.MeanInequalities
import Mathlib.Analysis.NormedSpace.WithLp
open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal
noncomputable section
variable (p : ℝ≥0∞) (𝕜 α β : Type*)
namespace WithLp
section DistNorm
section Dist
variable [Dist α] [Dist β]
open scoped Classical in
instance instProdDist : Dist (WithLp p (α × β)) where
dist f g :=
if _hp : p = 0 then
(if dist f.fst g.fst = 0 then 0 else 1) + (if dist f.snd g.snd = 0 then 0 else 1)
else if p = ∞ then
dist f.fst g.fst ⊔ dist f.snd g.snd
else
(dist f.fst g.fst ^ p.toReal + dist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal)
variable {p α β}
theorem prod_dist_eq_card (f g : WithLp 0 (α × β)) : dist f g =
(if dist f.fst g.fst = 0 then 0 else 1) + (if dist f.snd g.snd = 0 then 0 else 1) := by
convert if_pos rfl
theorem prod_dist_eq_add (hp : 0 < p.toReal) (f g : WithLp p (α × β)) :
dist f g = (dist f.fst g.fst ^ p.toReal + dist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal) :=
let hp' := ENNReal.toReal_pos_iff.mp hp
(if_neg hp'.1.ne').trans (if_neg hp'.2.ne)
| Mathlib/Analysis/NormedSpace/ProdLp.lean | 240 | 243 | theorem prod_dist_eq_sup (f g : WithLp ∞ (α × β)) :
dist f g = dist f.fst g.fst ⊔ dist f.snd g.snd := by |
dsimp [dist]
exact if_neg ENNReal.top_ne_zero
|
import Mathlib.Combinatorics.Quiver.Cast
import Mathlib.Combinatorics.Quiver.Symmetric
#align_import combinatorics.quiver.single_obj from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226"
namespace Quiver
-- Porting note: Removed `deriving Unique`.
@[nolint unusedArguments]
def SingleObj (_ : Type*) : Type :=
Unit
#align quiver.single_obj Quiver.SingleObj
-- Porting note: `deriving` from above has been moved to below.
instance {α : Type*} : Unique (SingleObj α) where
default := ⟨⟩
uniq := fun _ => rfl
namespace SingleObj
variable (α β γ : Type*)
instance : Quiver (SingleObj α) :=
⟨fun _ _ => α⟩
def star : SingleObj α :=
Unit.unit
#align quiver.single_obj.star Quiver.SingleObj.star
instance : Inhabited (SingleObj α) :=
⟨star α⟩
variable {α β γ}
lemma ext {x y : SingleObj α} : x = y := Unit.ext x y
-- See note [reducible non-instances]
abbrev hasReverse (rev : α → α) : HasReverse (SingleObj α) := ⟨rev⟩
#align quiver.single_obj.has_reverse Quiver.SingleObj.hasReverse
-- See note [reducible non-instances]
abbrev hasInvolutiveReverse (rev : α → α) (h : Function.Involutive rev) :
HasInvolutiveReverse (SingleObj α) where
toHasReverse := hasReverse rev
inv' := h
#align quiver.single_obj.has_involutive_reverse Quiver.SingleObj.hasInvolutiveReverse
@[simps!]
def toHom : α ≃ (star α ⟶ star α) :=
Equiv.refl _
#align quiver.single_obj.to_hom Quiver.SingleObj.toHom
#align quiver.single_obj.to_hom_apply Quiver.SingleObj.toHom_apply
#align quiver.single_obj.to_hom_symm_apply Quiver.SingleObj.toHom_symm_apply
@[simps]
def toPrefunctor : (α → β) ≃ SingleObj α ⥤q SingleObj β where
toFun f := ⟨id, f⟩
invFun f a := f.map (toHom a)
left_inv _ := rfl
right_inv _ := rfl
#align quiver.single_obj.to_prefunctor_symm_apply Quiver.SingleObj.toPrefunctor_symm_apply
#align quiver.single_obj.to_prefunctor_apply_map Quiver.SingleObj.toPrefunctor_apply_map
#align quiver.single_obj.to_prefunctor_apply_obj Quiver.SingleObj.toPrefunctor_apply_obj
#align quiver.single_obj.to_prefunctor Quiver.SingleObj.toPrefunctor
theorem toPrefunctor_id : toPrefunctor id = 𝟭q (SingleObj α) :=
rfl
#align quiver.single_obj.to_prefunctor_id Quiver.SingleObj.toPrefunctor_id
@[simp]
theorem toPrefunctor_symm_id : toPrefunctor.symm (𝟭q (SingleObj α)) = id :=
rfl
#align quiver.single_obj.to_prefunctor_symm_id Quiver.SingleObj.toPrefunctor_symm_id
theorem toPrefunctor_comp (f : α → β) (g : β → γ) :
toPrefunctor (g ∘ f) = toPrefunctor f ⋙q toPrefunctor g :=
rfl
#align quiver.single_obj.to_prefunctor_comp Quiver.SingleObj.toPrefunctor_comp
@[simp]
theorem toPrefunctor_symm_comp (f : SingleObj α ⥤q SingleObj β) (g : SingleObj β ⥤q SingleObj γ) :
toPrefunctor.symm (f ⋙q g) = toPrefunctor.symm g ∘ toPrefunctor.symm f := by
simp only [Equiv.symm_apply_eq, toPrefunctor_comp, Equiv.apply_symm_apply]
#align quiver.single_obj.to_prefunctor_symm_comp Quiver.SingleObj.toPrefunctor_symm_comp
def pathToList : ∀ {x : SingleObj α}, Path (star α) x → List α
| _, Path.nil => []
| _, Path.cons p a => a :: pathToList p
#align quiver.single_obj.path_to_list Quiver.SingleObj.pathToList
@[simp]
def listToPath : List α → Path (star α) (star α)
| [] => Path.nil
| a :: l => (listToPath l).cons a
#align quiver.single_obj.list_to_path Quiver.SingleObj.listToPath
theorem listToPath_pathToList {x : SingleObj α} (p : Path (star α) x) :
listToPath (pathToList p) = p.cast rfl ext := by
induction' p with y z p a ih
· rfl
· dsimp at *; rw [ih]
#align quiver.single_obj.path_to_list_to_path Quiver.SingleObj.listToPath_pathToList
| Mathlib/Combinatorics/Quiver/SingleObj.lean | 139 | 142 | theorem pathToList_listToPath (l : List α) : pathToList (listToPath l) = l := by |
induction' l with a l ih
· rfl
· change a :: pathToList (listToPath l) = a :: l; rw [ih]
|
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import topology.metric_space.hausdorff_distance from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156"
noncomputable section
open NNReal ENNReal Topology Set Filter Bornology
universe u v w
variable {ι : Sort*} {α : Type u} {β : Type v}
namespace Metric
section Thickening
variable [PseudoEMetricSpace α] {δ : ℝ} {s : Set α} {x : α}
open EMetric
def thickening (δ : ℝ) (E : Set α) : Set α :=
{ x : α | infEdist x E < ENNReal.ofReal δ }
#align metric.thickening Metric.thickening
theorem mem_thickening_iff_infEdist_lt : x ∈ thickening δ s ↔ infEdist x s < ENNReal.ofReal δ :=
Iff.rfl
#align metric.mem_thickening_iff_inf_edist_lt Metric.mem_thickening_iff_infEdist_lt
lemma eventually_not_mem_thickening_of_infEdist_pos {E : Set α} {x : α} (h : x ∉ closure E) :
∀ᶠ δ in 𝓝 (0 : ℝ), x ∉ Metric.thickening δ E := by
obtain ⟨ε, ⟨ε_pos, ε_lt⟩⟩ := exists_real_pos_lt_infEdist_of_not_mem_closure h
filter_upwards [eventually_lt_nhds ε_pos] with δ hδ
simp only [thickening, mem_setOf_eq, not_lt]
exact (ENNReal.ofReal_le_ofReal hδ.le).trans ε_lt.le
theorem thickening_eq_preimage_infEdist (δ : ℝ) (E : Set α) :
thickening δ E = (infEdist · E) ⁻¹' Iio (ENNReal.ofReal δ) :=
rfl
#align metric.thickening_eq_preimage_inf_edist Metric.thickening_eq_preimage_infEdist
theorem isOpen_thickening {δ : ℝ} {E : Set α} : IsOpen (thickening δ E) :=
Continuous.isOpen_preimage continuous_infEdist _ isOpen_Iio
#align metric.is_open_thickening Metric.isOpen_thickening
@[simp]
theorem thickening_empty (δ : ℝ) : thickening δ (∅ : Set α) = ∅ := by
simp only [thickening, setOf_false, infEdist_empty, not_top_lt]
#align metric.thickening_empty Metric.thickening_empty
theorem thickening_of_nonpos (hδ : δ ≤ 0) (s : Set α) : thickening δ s = ∅ :=
eq_empty_of_forall_not_mem fun _ => ((ENNReal.ofReal_of_nonpos hδ).trans_le bot_le).not_lt
#align metric.thickening_of_nonpos Metric.thickening_of_nonpos
theorem thickening_mono {δ₁ δ₂ : ℝ} (hle : δ₁ ≤ δ₂) (E : Set α) :
thickening δ₁ E ⊆ thickening δ₂ E :=
preimage_mono (Iio_subset_Iio (ENNReal.ofReal_le_ofReal hle))
#align metric.thickening_mono Metric.thickening_mono
theorem thickening_subset_of_subset (δ : ℝ) {E₁ E₂ : Set α} (h : E₁ ⊆ E₂) :
thickening δ E₁ ⊆ thickening δ E₂ := fun _ hx => lt_of_le_of_lt (infEdist_anti h) hx
#align metric.thickening_subset_of_subset Metric.thickening_subset_of_subset
theorem mem_thickening_iff_exists_edist_lt {δ : ℝ} (E : Set α) (x : α) :
x ∈ thickening δ E ↔ ∃ z ∈ E, edist x z < ENNReal.ofReal δ :=
infEdist_lt_iff
#align metric.mem_thickening_iff_exists_edist_lt Metric.mem_thickening_iff_exists_edist_lt
theorem frontier_thickening_subset (E : Set α) {δ : ℝ} :
frontier (thickening δ E) ⊆ { x : α | infEdist x E = ENNReal.ofReal δ } :=
frontier_lt_subset_eq continuous_infEdist continuous_const
#align metric.frontier_thickening_subset Metric.frontier_thickening_subset
theorem frontier_thickening_disjoint (A : Set α) :
Pairwise (Disjoint on fun r : ℝ => frontier (thickening r A)) := by
refine (pairwise_disjoint_on _).2 fun r₁ r₂ hr => ?_
rcases le_total r₁ 0 with h₁ | h₁
· simp [thickening_of_nonpos h₁]
refine ((disjoint_singleton.2 fun h => hr.ne ?_).preimage _).mono (frontier_thickening_subset _)
(frontier_thickening_subset _)
apply_fun ENNReal.toReal at h
rwa [ENNReal.toReal_ofReal h₁, ENNReal.toReal_ofReal (h₁.trans hr.le)] at h
#align metric.frontier_thickening_disjoint Metric.frontier_thickening_disjoint
lemma subset_compl_thickening_compl_thickening_self (δ : ℝ) (E : Set α) :
E ⊆ (thickening δ (thickening δ E)ᶜ)ᶜ := by
intro x x_in_E
simp only [thickening, mem_compl_iff, mem_setOf_eq, not_lt]
apply EMetric.le_infEdist.mpr fun y hy ↦ ?_
simp only [mem_compl_iff, mem_setOf_eq, not_lt] at hy
simpa only [edist_comm] using le_trans hy <| EMetric.infEdist_le_edist_of_mem x_in_E
lemma thickening_compl_thickening_self_subset_compl (δ : ℝ) (E : Set α) :
thickening δ (thickening δ E)ᶜ ⊆ Eᶜ := by
apply compl_subset_compl.mp
simpa only [compl_compl] using subset_compl_thickening_compl_thickening_self δ E
variable {X : Type u} [PseudoMetricSpace X]
-- Porting note (#10756): new lemma
theorem mem_thickening_iff_infDist_lt {E : Set X} {x : X} (h : E.Nonempty) :
x ∈ thickening δ E ↔ infDist x E < δ :=
lt_ofReal_iff_toReal_lt (infEdist_ne_top h)
theorem mem_thickening_iff {E : Set X} {x : X} : x ∈ thickening δ E ↔ ∃ z ∈ E, dist x z < δ := by
have key_iff : ∀ z : X, edist x z < ENNReal.ofReal δ ↔ dist x z < δ := fun z ↦ by
rw [dist_edist, lt_ofReal_iff_toReal_lt (edist_ne_top _ _)]
simp_rw [mem_thickening_iff_exists_edist_lt, key_iff]
#align metric.mem_thickening_iff Metric.mem_thickening_iff
@[simp]
| Mathlib/Topology/MetricSpace/Thickening.lean | 158 | 160 | theorem thickening_singleton (δ : ℝ) (x : X) : thickening δ ({x} : Set X) = ball x δ := by |
ext
simp [mem_thickening_iff]
|
import Mathlib.LinearAlgebra.Dimension.Free
import Mathlib.Algebra.Module.Torsion
#align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5"
noncomputable section
universe u v v' u₁' w w'
variable {R S : Type u} {M : Type v} {M' : Type v'} {M₁ : Type v}
variable {ι : Type w} {ι' : Type w'} {η : Type u₁'} {φ : η → Type*}
open Cardinal Basis Submodule Function Set FiniteDimensional DirectSum
variable [Ring R] [CommRing S] [AddCommGroup M] [AddCommGroup M'] [AddCommGroup M₁]
variable [Module R M] [Module R M'] [Module R M₁]
section Finsupp
variable (R M M')
variable [StrongRankCondition R] [Module.Free R M] [Module.Free R M']
open Module.Free
@[simp]
theorem rank_finsupp (ι : Type w) :
Module.rank R (ι →₀ M) = Cardinal.lift.{v} #ι * Cardinal.lift.{w} (Module.rank R M) := by
obtain ⟨⟨_, bs⟩⟩ := Module.Free.exists_basis (R := R) (M := M)
rw [← bs.mk_eq_rank'', ← (Finsupp.basis fun _ : ι => bs).mk_eq_rank'', Cardinal.mk_sigma,
Cardinal.sum_const]
#align rank_finsupp rank_finsupp
theorem rank_finsupp' (ι : Type v) : Module.rank R (ι →₀ M) = #ι * Module.rank R M := by
simp [rank_finsupp]
#align rank_finsupp' rank_finsupp'
-- Porting note, this should not be `@[simp]`, as simp can prove it.
-- @[simp]
theorem rank_finsupp_self (ι : Type w) : Module.rank R (ι →₀ R) = Cardinal.lift.{u} #ι := by
simp [rank_finsupp]
#align rank_finsupp_self rank_finsupp_self
theorem rank_finsupp_self' {ι : Type u} : Module.rank R (ι →₀ R) = #ι := by simp
#align rank_finsupp_self' rank_finsupp_self'
@[simp]
theorem rank_directSum {ι : Type v} (M : ι → Type w) [∀ i : ι, AddCommGroup (M i)]
[∀ i : ι, Module R (M i)] [∀ i : ι, Module.Free R (M i)] :
Module.rank R (⨁ i, M i) = Cardinal.sum fun i => Module.rank R (M i) := by
let B i := chooseBasis R (M i)
let b : Basis _ R (⨁ i, M i) := DFinsupp.basis fun i => B i
simp [← b.mk_eq_rank'', fun i => (B i).mk_eq_rank'']
#align rank_direct_sum rank_directSum
@[simp]
theorem rank_matrix (m : Type v) (n : Type w) [Finite m] [Finite n] :
Module.rank R (Matrix m n R) =
Cardinal.lift.{max v w u, v} #m * Cardinal.lift.{max v w u, w} #n := by
cases nonempty_fintype m
cases nonempty_fintype n
have h := (Matrix.stdBasis R m n).mk_eq_rank
rw [← lift_lift.{max v w u, max v w}, lift_inj] at h
simpa using h.symm
#align rank_matrix rank_matrix
@[simp high]
theorem rank_matrix' (m n : Type v) [Finite m] [Finite n] :
Module.rank R (Matrix m n R) = Cardinal.lift.{u} (#m * #n) := by
rw [rank_matrix, lift_mul, lift_umax.{v, u}]
#align rank_matrix' rank_matrix'
-- @[simp] -- Porting note (#10618): simp can prove this
theorem rank_matrix'' (m n : Type u) [Finite m] [Finite n] :
Module.rank R (Matrix m n R) = #m * #n := by simp
#align rank_matrix'' rank_matrix''
variable [Module.Finite R M] [Module.Finite R M']
open Fintype
section Pi
variable [StrongRankCondition R] [Module.Free R M]
variable [∀ i, AddCommGroup (φ i)] [∀ i, Module R (φ i)] [∀ i, Module.Free R (φ i)]
open Module.Free
open LinearMap
-- this result is not true without the freeness assumption
@[simp]
| Mathlib/LinearAlgebra/Dimension/Constructions.lean | 271 | 276 | theorem rank_pi [Finite η] : Module.rank R (∀ i, φ i) =
Cardinal.sum fun i => Module.rank R (φ i) := by |
cases nonempty_fintype η
let B i := chooseBasis R (φ i)
let b : Basis _ R (∀ i, φ i) := Pi.basis fun i => B i
simp [← b.mk_eq_rank'', fun i => (B i).mk_eq_rank'']
|
import Mathlib.NumberTheory.Cyclotomic.PrimitiveRoots
import Mathlib.NumberTheory.NumberField.Discriminant
#align_import number_theory.cyclotomic.discriminant from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
universe u v
open Algebra Polynomial Nat IsPrimitiveRoot PowerBasis
open scoped Polynomial Cyclotomic
namespace IsCyclotomicExtension
variable {p : ℕ+} {k : ℕ} {K : Type u} {L : Type v} {ζ : L} [Field K] [Field L]
variable [Algebra K L]
set_option tactic.skipAssignedInstances false in
theorem discr_prime_pow_ne_two [IsCyclotomicExtension {p ^ (k + 1)} K L] [hp : Fact (p : ℕ).Prime]
(hζ : IsPrimitiveRoot ζ ↑(p ^ (k + 1))) (hirr : Irreducible (cyclotomic (↑(p ^ (k + 1)) : ℕ) K))
(hk : p ^ (k + 1) ≠ 2) : discr K (hζ.powerBasis K).basis =
(-1) ^ ((p ^ (k + 1) : ℕ).totient / 2) * p ^ ((p : ℕ) ^ k * ((p - 1) * (k + 1) - 1)) := by
haveI hne := IsCyclotomicExtension.neZero' (p ^ (k + 1)) K L
-- Porting note: these two instances are not automatically synthesised and must be constructed
haveI mf : Module.Finite K L := finiteDimensional {p ^ (k + 1)} K L
haveI se : IsSeparable K L := (isGalois (p ^ (k + 1)) K L).to_isSeparable
rw [discr_powerBasis_eq_norm, finrank L hirr, hζ.powerBasis_gen _, ←
hζ.minpoly_eq_cyclotomic_of_irreducible hirr, PNat.pow_coe,
totient_prime_pow hp.out (succ_pos k), Nat.add_one_sub_one]
have coe_two : ((2 : ℕ+) : ℕ) = 2 := rfl
have hp2 : p = 2 → k ≠ 0 := by
rintro rfl rfl
exact absurd rfl hk
congr 1
· rcases eq_or_ne p 2 with (rfl | hp2)
· rcases Nat.exists_eq_succ_of_ne_zero (hp2 rfl) with ⟨k, rfl⟩
rw [coe_two, succ_sub_succ_eq_sub, tsub_zero, mul_one]; simp only [_root_.pow_succ']
rw [mul_assoc, Nat.mul_div_cancel_left _ zero_lt_two, Nat.mul_div_cancel_left _ zero_lt_two]
cases k
· simp
· simp_rw [_root_.pow_succ', (even_two.mul_right _).neg_one_pow,
((even_two.mul_right _).mul_right _).neg_one_pow]
· replace hp2 : (p : ℕ) ≠ 2 := by rwa [Ne, ← coe_two, PNat.coe_inj]
have hpo : Odd (p : ℕ) := hp.out.odd_of_ne_two hp2
obtain ⟨a, ha⟩ := (hp.out.even_sub_one hp2).two_dvd
rw [ha, mul_left_comm, mul_assoc, Nat.mul_div_cancel_left _ two_pos,
Nat.mul_div_cancel_left _ two_pos, mul_right_comm, pow_mul, (hpo.pow.mul _).neg_one_pow,
pow_mul, hpo.pow.neg_one_pow]
refine Nat.Even.sub_odd ?_ (even_two_mul _) odd_one
rw [mul_left_comm, ← ha]
exact one_le_mul (one_le_pow _ _ hp.1.pos) (succ_le_iff.2 <| tsub_pos_of_lt hp.1.one_lt)
· have H := congr_arg (@derivative K _) (cyclotomic_prime_pow_mul_X_pow_sub_one K p k)
rw [derivative_mul, derivative_sub, derivative_one, sub_zero, derivative_X_pow, C_eq_natCast,
derivative_sub, derivative_one, sub_zero, derivative_X_pow, C_eq_natCast, ← PNat.pow_coe,
hζ.minpoly_eq_cyclotomic_of_irreducible hirr] at H
replace H := congr_arg (fun P => aeval ζ P) H
simp only [aeval_add, aeval_mul, minpoly.aeval, zero_mul, add_zero, aeval_natCast,
_root_.map_sub, aeval_one, aeval_X_pow] at H
replace H := congr_arg (Algebra.norm K) H
have hnorm : (norm K) (ζ ^ (p : ℕ) ^ k - 1) = (p : K) ^ (p : ℕ) ^ k := by
by_cases hp : p = 2
· exact mod_cast hζ.norm_pow_sub_one_eq_prime_pow_of_ne_zero hirr le_rfl (hp2 hp)
· exact mod_cast hζ.norm_pow_sub_one_of_prime_ne_two hirr le_rfl hp
rw [MonoidHom.map_mul, hnorm, MonoidHom.map_mul, ← map_natCast (algebraMap K L),
Algebra.norm_algebraMap, finrank L hirr] at H
conv_rhs at H => -- Porting note: need to drill down to successfully rewrite the totient
enter [1, 2]
rw [PNat.pow_coe, ← succ_eq_add_one, totient_prime_pow hp.out (succ_pos k), Nat.sub_one,
Nat.pred_succ]
rw [← hζ.minpoly_eq_cyclotomic_of_irreducible hirr, map_pow, hζ.norm_eq_one hk hirr, one_pow,
mul_one, PNat.pow_coe, cast_pow, ← pow_mul, ← mul_assoc, mul_comm (k + 1), mul_assoc] at H
have := mul_pos (succ_pos k) (tsub_pos_of_lt hp.out.one_lt)
rw [← succ_pred_eq_of_pos this, mul_succ, pow_add _ _ ((p : ℕ) ^ k)] at H
replace H := (mul_left_inj' fun h => ?_).1 H
· simp only [H, mul_comm _ (k + 1)]; norm_cast
· -- Porting note: was `replace h := pow_eq_zero h; rw [coe_coe] at h; simpa using hne.1`
have := hne.1
rw [PNat.pow_coe, Nat.cast_pow, Ne, pow_eq_zero_iff (by omega)] at this
exact absurd (pow_eq_zero h) this
#align is_cyclotomic_extension.discr_prime_pow_ne_two IsCyclotomicExtension.discr_prime_pow_ne_two
theorem discr_prime_pow_ne_two' [IsCyclotomicExtension {p ^ (k + 1)} K L] [hp : Fact (p : ℕ).Prime]
(hζ : IsPrimitiveRoot ζ ↑(p ^ (k + 1))) (hirr : Irreducible (cyclotomic (↑(p ^ (k + 1)) : ℕ) K))
(hk : p ^ (k + 1) ≠ 2) : discr K (hζ.powerBasis K).basis =
(-1) ^ ((p : ℕ) ^ k * (p - 1) / 2) * p ^ ((p : ℕ) ^ k * ((p - 1) * (k + 1) - 1)) := by
simpa [totient_prime_pow hp.out (succ_pos k)] using discr_prime_pow_ne_two hζ hirr hk
#align is_cyclotomic_extension.discr_prime_pow_ne_two' IsCyclotomicExtension.discr_prime_pow_ne_two'
set_option tactic.skipAssignedInstances false in
theorem discr_prime_pow [hcycl : IsCyclotomicExtension {p ^ k} K L] [hp : Fact (p : ℕ).Prime]
(hζ : IsPrimitiveRoot ζ ↑(p ^ k)) (hirr : Irreducible (cyclotomic (↑(p ^ k) : ℕ) K)) :
discr K (hζ.powerBasis K).basis =
(-1) ^ ((p ^ k : ℕ).totient / 2) * p ^ ((p : ℕ) ^ (k - 1) * ((p - 1) * k - 1)) := by
cases' k with k k
· simp only [coe_basis, _root_.pow_zero, powerBasis_gen _ hζ, totient_one, mul_zero, mul_one,
show 1 / 2 = 0 by rfl, discr, traceMatrix]
have hζone : ζ = 1 := by simpa using hζ
rw [hζ.powerBasis_dim _, hζone, ← (algebraMap K L).map_one,
minpoly.eq_X_sub_C_of_algebraMap_inj _ (algebraMap K L).injective, natDegree_X_sub_C]
simp only [traceMatrix, map_one, one_pow, Matrix.det_unique, traceForm_apply, mul_one]
rw [← (algebraMap K L).map_one, trace_algebraMap, finrank _ hirr]
norm_num
· by_cases hk : p ^ (k + 1) = 2
· have coe_two : 2 = ((2 : ℕ+) : ℕ) := rfl
have hp : p = 2 := by
rw [← PNat.coe_inj, PNat.pow_coe, ← pow_one 2] at hk
replace hk :=
eq_of_prime_pow_eq (prime_iff.1 hp.out) (prime_iff.1 Nat.prime_two) (succ_pos _) hk
rwa [coe_two, PNat.coe_inj] at hk
subst hp
rw [← PNat.coe_inj, PNat.pow_coe] at hk
nth_rw 2 [← pow_one 2] at hk
replace hk := Nat.pow_right_injective rfl.le hk
rw [add_left_eq_self] at hk
subst hk
rw [pow_one] at hζ hcycl
have : natDegree (minpoly K ζ) = 1 := by
rw [hζ.eq_neg_one_of_two_right, show (-1 : L) = algebraMap K L (-1) by simp,
minpoly.eq_X_sub_C_of_algebraMap_inj _ (NoZeroSMulDivisors.algebraMap_injective K L)]
exact natDegree_X_sub_C (-1)
rcases Fin.equiv_iff_eq.2 this with ⟨e⟩
rw [← Algebra.discr_reindex K (hζ.powerBasis K).basis e, coe_basis, powerBasis_gen]; norm_num
simp_rw [hζ.eq_neg_one_of_two_right, show (-1 : L) = algebraMap K L (-1) by simp]
convert_to (discr K fun i : Fin 1 ↦ (algebraMap K L) (-1) ^ ↑i) = _
· congr
ext i
simp only [map_neg, map_one, Function.comp_apply, Fin.coe_fin_one, _root_.pow_zero]
suffices (e.symm i : ℕ) = 0 by simp [this]
rw [← Nat.lt_one_iff]
convert (e.symm i).2
rw [this]
· simp only [discr, traceMatrix_apply, Matrix.det_unique, Fin.default_eq_zero, Fin.val_zero,
_root_.pow_zero, traceForm_apply, mul_one]
rw [← (algebraMap K L).map_one, trace_algebraMap, finrank _ hirr]; norm_num
· exact discr_prime_pow_ne_two hζ hirr hk
#align is_cyclotomic_extension.discr_prime_pow IsCyclotomicExtension.discr_prime_pow
set_option tactic.skipAssignedInstances false in
| Mathlib/NumberTheory/Cyclotomic/Discriminant.lean | 193 | 201 | theorem discr_prime_pow_eq_unit_mul_pow [IsCyclotomicExtension {p ^ k} K L]
[hp : Fact (p : ℕ).Prime] (hζ : IsPrimitiveRoot ζ ↑(p ^ k))
(hirr : Irreducible (cyclotomic (↑(p ^ k) : ℕ) K)) :
∃ (u : ℤˣ) (n : ℕ), discr K (hζ.powerBasis K).basis = u * p ^ n := by |
rw [discr_prime_pow hζ hirr]
by_cases heven : Even ((p ^ k : ℕ).totient / 2)
· exact ⟨1, (p : ℕ) ^ (k - 1) * ((p - 1) * k - 1), by rw [heven.neg_one_pow]; norm_num⟩
· exact ⟨-1, (p : ℕ) ^ (k - 1) * ((p - 1) * k - 1), by
rw [(odd_iff_not_even.2 heven).neg_one_pow]; norm_num⟩
|
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Equiv
import Mathlib.Analysis.Calculus.FDeriv.Prod
import Mathlib.Analysis.Calculus.Monotone
import Mathlib.Data.Set.Function
import Mathlib.Algebra.Group.Basic
import Mathlib.Tactic.WLOG
#align_import analysis.bounded_variation from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
open scoped NNReal ENNReal Topology UniformConvergence
open Set MeasureTheory Filter
-- Porting note: sectioned variables because a `wlog` was broken due to extra variables in context
variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E]
noncomputable def eVariationOn (f : α → E) (s : Set α) : ℝ≥0∞ :=
⨆ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s },
∑ i ∈ Finset.range p.1, edist (f (p.2.1 (i + 1))) (f (p.2.1 i))
#align evariation_on eVariationOn
def BoundedVariationOn (f : α → E) (s : Set α) :=
eVariationOn f s ≠ ∞
#align has_bounded_variation_on BoundedVariationOn
def LocallyBoundedVariationOn (f : α → E) (s : Set α) :=
∀ a b, a ∈ s → b ∈ s → BoundedVariationOn f (s ∩ Icc a b)
#align has_locally_bounded_variation_on LocallyBoundedVariationOn
namespace eVariationOn
theorem nonempty_monotone_mem {s : Set α} (hs : s.Nonempty) :
Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } := by
obtain ⟨x, hx⟩ := hs
exact ⟨⟨fun _ => x, fun i j _ => le_rfl, fun _ => hx⟩⟩
#align evariation_on.nonempty_monotone_mem eVariationOn.nonempty_monotone_mem
theorem eq_of_edist_zero_on {f f' : α → E} {s : Set α} (h : ∀ ⦃x⦄, x ∈ s → edist (f x) (f' x) = 0) :
eVariationOn f s = eVariationOn f' s := by
dsimp only [eVariationOn]
congr 1 with p : 1
congr 1 with i : 1
rw [edist_congr_right (h <| p.snd.prop.2 (i + 1)), edist_congr_left (h <| p.snd.prop.2 i)]
#align evariation_on.eq_of_edist_zero_on eVariationOn.eq_of_edist_zero_on
theorem eq_of_eqOn {f f' : α → E} {s : Set α} (h : EqOn f f' s) :
eVariationOn f s = eVariationOn f' s :=
eq_of_edist_zero_on fun x xs => by rw [h xs, edist_self]
#align evariation_on.eq_of_eq_on eVariationOn.eq_of_eqOn
theorem sum_le (f : α → E) {s : Set α} (n : ℕ) {u : ℕ → α} (hu : Monotone u) (us : ∀ i, u i ∈ s) :
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s :=
le_iSup_of_le ⟨n, u, hu, us⟩ le_rfl
#align evariation_on.sum_le eVariationOn.sum_le
theorem sum_le_of_monotoneOn_Icc (f : α → E) {s : Set α} {m n : ℕ} {u : ℕ → α}
(hu : MonotoneOn u (Icc m n)) (us : ∀ i ∈ Icc m n, u i ∈ s) :
(∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by
rcases le_total n m with hnm | hmn
· simp [Finset.Ico_eq_empty_of_le hnm]
let π := projIcc m n hmn
let v i := u (π i)
calc
∑ i ∈ Finset.Ico m n, edist (f (u (i + 1))) (f (u i))
= ∑ i ∈ Finset.Ico m n, edist (f (v (i + 1))) (f (v i)) :=
Finset.sum_congr rfl fun i hi ↦ by
rw [Finset.mem_Ico] at hi
simp only [v, π, projIcc_of_mem hmn ⟨hi.1, hi.2.le⟩,
projIcc_of_mem hmn ⟨hi.1.trans i.le_succ, hi.2⟩]
_ ≤ ∑ i ∈ Finset.range n, edist (f (v (i + 1))) (f (v i)) :=
Finset.sum_mono_set _ (Nat.Iio_eq_range ▸ Finset.Ico_subset_Iio_self)
_ ≤ eVariationOn f s :=
sum_le _ _ (fun i j h ↦ hu (π i).2 (π j).2 (monotone_projIcc hmn h)) fun i ↦ us _ (π i).2
#align evariation_on.sum_le_of_monotone_on_Icc eVariationOn.sum_le_of_monotoneOn_Icc
theorem sum_le_of_monotoneOn_Iic (f : α → E) {s : Set α} {n : ℕ} {u : ℕ → α}
(hu : MonotoneOn u (Iic n)) (us : ∀ i ≤ n, u i ∈ s) :
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤ eVariationOn f s := by
simpa using sum_le_of_monotoneOn_Icc f (m := 0) (hu.mono Icc_subset_Iic_self) fun i hi ↦ us i hi.2
#align evariation_on.sum_le_of_monotone_on_Iic eVariationOn.sum_le_of_monotoneOn_Iic
theorem mono (f : α → E) {s t : Set α} (hst : t ⊆ s) : eVariationOn f t ≤ eVariationOn f s := by
apply iSup_le _
rintro ⟨n, ⟨u, hu, ut⟩⟩
exact sum_le f n hu fun i => hst (ut i)
#align evariation_on.mono eVariationOn.mono
theorem _root_.BoundedVariationOn.mono {f : α → E} {s : Set α} (h : BoundedVariationOn f s)
{t : Set α} (ht : t ⊆ s) : BoundedVariationOn f t :=
ne_top_of_le_ne_top h (eVariationOn.mono f ht)
#align has_bounded_variation_on.mono BoundedVariationOn.mono
theorem _root_.BoundedVariationOn.locallyBoundedVariationOn {f : α → E} {s : Set α}
(h : BoundedVariationOn f s) : LocallyBoundedVariationOn f s := fun _ _ _ _ =>
h.mono inter_subset_left
#align has_bounded_variation_on.has_locally_bounded_variation_on BoundedVariationOn.locallyBoundedVariationOn
theorem edist_le (f : α → E) {s : Set α} {x y : α} (hx : x ∈ s) (hy : y ∈ s) :
edist (f x) (f y) ≤ eVariationOn f s := by
wlog hxy : y ≤ x generalizing x y
· rw [edist_comm]
exact this hy hx (le_of_not_le hxy)
let u : ℕ → α := fun n => if n = 0 then y else x
have hu : Monotone u := monotone_nat_of_le_succ fun
| 0 => hxy
| (_ + 1) => le_rfl
have us : ∀ i, u i ∈ s := fun
| 0 => hy
| (_ + 1) => hx
simpa only [Finset.sum_range_one] using sum_le f 1 hu us
#align evariation_on.edist_le eVariationOn.edist_le
theorem eq_zero_iff (f : α → E) {s : Set α} :
eVariationOn f s = 0 ↔ ∀ x ∈ s, ∀ y ∈ s, edist (f x) (f y) = 0 := by
constructor
· rintro h x xs y ys
rw [← le_zero_iff, ← h]
exact edist_le f xs ys
· rintro h
dsimp only [eVariationOn]
rw [ENNReal.iSup_eq_zero]
rintro ⟨n, u, um, us⟩
exact Finset.sum_eq_zero fun i _ => h _ (us i.succ) _ (us i)
#align evariation_on.eq_zero_iff eVariationOn.eq_zero_iff
theorem constant_on {f : α → E} {s : Set α} (hf : (f '' s).Subsingleton) :
eVariationOn f s = 0 := by
rw [eq_zero_iff]
rintro x xs y ys
rw [hf ⟨x, xs, rfl⟩ ⟨y, ys, rfl⟩, edist_self]
#align evariation_on.constant_on eVariationOn.constant_on
@[simp]
protected theorem subsingleton (f : α → E) {s : Set α} (hs : s.Subsingleton) :
eVariationOn f s = 0 :=
constant_on (hs.image f)
#align evariation_on.subsingleton eVariationOn.subsingleton
theorem lowerSemicontinuous_aux {ι : Type*} {F : ι → α → E} {p : Filter ι} {f : α → E} {s : Set α}
(Ffs : ∀ x ∈ s, Tendsto (fun i => F i x) p (𝓝 (f x))) {v : ℝ≥0∞} (hv : v < eVariationOn f s) :
∀ᶠ n : ι in p, v < eVariationOn (F n) s := by
obtain ⟨⟨n, ⟨u, um, us⟩⟩, hlt⟩ :
∃ p : ℕ × { u : ℕ → α // Monotone u ∧ ∀ i, u i ∈ s },
v < ∑ i ∈ Finset.range p.1, edist (f ((p.2 : ℕ → α) (i + 1))) (f ((p.2 : ℕ → α) i)) :=
lt_iSup_iff.mp hv
have : Tendsto (fun j => ∑ i ∈ Finset.range n, edist (F j (u (i + 1))) (F j (u i))) p
(𝓝 (∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i)))) := by
apply tendsto_finset_sum
exact fun i _ => Tendsto.edist (Ffs (u i.succ) (us i.succ)) (Ffs (u i) (us i))
exact (eventually_gt_of_tendsto_gt hlt this).mono fun i h => h.trans_le (sum_le (F i) n um us)
#align evariation_on.lower_continuous_aux eVariationOn.lowerSemicontinuous_aux
protected theorem lowerSemicontinuous (s : Set α) :
LowerSemicontinuous fun f : α →ᵤ[s.image singleton] E => eVariationOn f s := fun f ↦ by
apply @lowerSemicontinuous_aux _ _ _ _ (UniformOnFun α E (s.image singleton)) id (𝓝 f) f s _
simpa only [UniformOnFun.tendsto_iff_tendstoUniformlyOn, mem_image, forall_exists_index, and_imp,
forall_apply_eq_imp_iff₂, tendstoUniformlyOn_singleton_iff_tendsto] using @tendsto_id _ (𝓝 f)
#align evariation_on.lower_semicontinuous eVariationOn.lowerSemicontinuous
theorem lowerSemicontinuous_uniformOn (s : Set α) :
LowerSemicontinuous fun f : α →ᵤ[{s}] E => eVariationOn f s := fun f ↦ by
apply @lowerSemicontinuous_aux _ _ _ _ (UniformOnFun α E {s}) id (𝓝 f) f s _
have := @tendsto_id _ (𝓝 f)
rw [UniformOnFun.tendsto_iff_tendstoUniformlyOn] at this
simp_rw [← tendstoUniformlyOn_singleton_iff_tendsto]
exact fun x xs => (this s rfl).mono (singleton_subset_iff.mpr xs)
#align evariation_on.lower_semicontinuous_uniform_on eVariationOn.lowerSemicontinuous_uniformOn
theorem _root_.BoundedVariationOn.dist_le {E : Type*} [PseudoMetricSpace E] {f : α → E}
{s : Set α} (h : BoundedVariationOn f s) {x y : α} (hx : x ∈ s) (hy : y ∈ s) :
dist (f x) (f y) ≤ (eVariationOn f s).toReal := by
rw [← ENNReal.ofReal_le_ofReal_iff ENNReal.toReal_nonneg, ENNReal.ofReal_toReal h, ← edist_dist]
exact edist_le f hx hy
#align has_bounded_variation_on.dist_le BoundedVariationOn.dist_le
theorem _root_.BoundedVariationOn.sub_le {f : α → ℝ} {s : Set α} (h : BoundedVariationOn f s)
{x y : α} (hx : x ∈ s) (hy : y ∈ s) : f x - f y ≤ (eVariationOn f s).toReal := by
apply (le_abs_self _).trans
rw [← Real.dist_eq]
exact h.dist_le hx hy
#align has_bounded_variation_on.sub_le BoundedVariationOn.sub_le
theorem add_point (f : α → E) {s : Set α} {x : α} (hx : x ∈ s) (u : ℕ → α) (hu : Monotone u)
(us : ∀ i, u i ∈ s) (n : ℕ) :
∃ (v : ℕ → α) (m : ℕ), Monotone v ∧ (∀ i, v i ∈ s) ∧ x ∈ v '' Iio m ∧
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤
∑ j ∈ Finset.range m, edist (f (v (j + 1))) (f (v j)) := by
rcases le_or_lt (u n) x with (h | h)
· let v i := if i ≤ n then u i else x
have vs : ∀ i, v i ∈ s := fun i ↦ by
simp only [v]
split_ifs
· exact us i
· exact hx
have hv : Monotone v := by
refine monotone_nat_of_le_succ fun i => ?_
simp only [v]
rcases lt_trichotomy i n with (hi | rfl | hi)
· have : i + 1 ≤ n := Nat.succ_le_of_lt hi
simp only [hi.le, this, if_true]
exact hu (Nat.le_succ i)
· simp only [le_refl, if_true, add_le_iff_nonpos_right, Nat.le_zero, Nat.one_ne_zero,
if_false, h]
· have A : ¬i ≤ n := hi.not_le
have B : ¬i + 1 ≤ n := fun h => A (i.le_succ.trans h)
simp only [A, B, if_false, le_rfl]
refine ⟨v, n + 2, hv, vs, (mem_image _ _ _).2 ⟨n + 1, ?_, ?_⟩, ?_⟩
· rw [mem_Iio]; exact Nat.lt_succ_self (n + 1)
· have : ¬n + 1 ≤ n := Nat.not_succ_le_self n
simp only [v, this, ite_eq_right_iff, IsEmpty.forall_iff]
· calc
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) =
∑ i ∈ Finset.range n, edist (f (v (i + 1))) (f (v i)) := by
apply Finset.sum_congr rfl fun i hi => ?_
simp only [Finset.mem_range] at hi
have : i + 1 ≤ n := Nat.succ_le_of_lt hi
simp only [v, hi.le, this, if_true]
_ ≤ ∑ j ∈ Finset.range (n + 2), edist (f (v (j + 1))) (f (v j)) :=
Finset.sum_le_sum_of_subset (Finset.range_mono (Nat.le_add_right n 2))
have exists_N : ∃ N, N ≤ n ∧ x < u N := ⟨n, le_rfl, h⟩
let N := Nat.find exists_N
have hN : N ≤ n ∧ x < u N := Nat.find_spec exists_N
let w : ℕ → α := fun i => if i < N then u i else if i = N then x else u (i - 1)
have ws : ∀ i, w i ∈ s := by
dsimp only [w]
intro i
split_ifs
exacts [us _, hx, us _]
have hw : Monotone w := by
apply monotone_nat_of_le_succ fun i => ?_
dsimp only [w]
rcases lt_trichotomy (i + 1) N with (hi | hi | hi)
· have : i < N := Nat.lt_of_le_of_lt (Nat.le_succ i) hi
simp only [hi, this, if_true]
exact hu (Nat.le_succ _)
· have A : i < N := hi ▸ i.lt_succ_self
have B : ¬i + 1 < N := by rw [← hi]; exact fun h => h.ne rfl
rw [if_pos A, if_neg B, if_pos hi]
have T := Nat.find_min exists_N A
push_neg at T
exact T (A.le.trans hN.1)
· have A : ¬i < N := (Nat.lt_succ_iff.mp hi).not_lt
have B : ¬i + 1 < N := hi.not_lt
have C : ¬i + 1 = N := hi.ne.symm
have D : i + 1 - 1 = i := Nat.pred_succ i
rw [if_neg A, if_neg B, if_neg C, D]
split_ifs
· exact hN.2.le.trans (hu (le_of_not_lt A))
· exact hu (Nat.pred_le _)
refine ⟨w, n + 1, hw, ws, (mem_image _ _ _).2 ⟨N, hN.1.trans_lt (Nat.lt_succ_self n), ?_⟩, ?_⟩
· dsimp only [w]; rw [if_neg (lt_irrefl N), if_pos rfl]
rcases eq_or_lt_of_le (zero_le N) with (Npos | Npos)
· calc
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) =
∑ i ∈ Finset.range n, edist (f (w (1 + i + 1))) (f (w (1 + i))) := by
apply Finset.sum_congr rfl fun i _hi => ?_
dsimp only [w]
simp only [← Npos, Nat.not_lt_zero, Nat.add_succ_sub_one, add_zero, if_false,
add_eq_zero_iff, Nat.one_ne_zero, false_and_iff, Nat.succ_add_sub_one, zero_add]
rw [add_comm 1 i]
_ = ∑ i ∈ Finset.Ico 1 (n + 1), edist (f (w (i + 1))) (f (w i)) := by
rw [Finset.range_eq_Ico]
exact Finset.sum_Ico_add (fun i => edist (f (w (i + 1))) (f (w i))) 0 n 1
_ ≤ ∑ j ∈ Finset.range (n + 1), edist (f (w (j + 1))) (f (w j)) := by
apply Finset.sum_le_sum_of_subset _
rw [Finset.range_eq_Ico]
exact Finset.Ico_subset_Ico zero_le_one le_rfl
· calc
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) =
((∑ i ∈ Finset.Ico 0 (N - 1), edist (f (u (i + 1))) (f (u i))) +
∑ i ∈ Finset.Ico (N - 1) N, edist (f (u (i + 1))) (f (u i))) +
∑ i ∈ Finset.Ico N n, edist (f (u (i + 1))) (f (u i)) := by
rw [Finset.sum_Ico_consecutive, Finset.sum_Ico_consecutive, Finset.range_eq_Ico]
· exact zero_le _
· exact hN.1
· exact zero_le _
· exact Nat.pred_le _
_ = (∑ i ∈ Finset.Ico 0 (N - 1), edist (f (w (i + 1))) (f (w i))) +
edist (f (u N)) (f (u (N - 1))) +
∑ i ∈ Finset.Ico N n, edist (f (w (1 + i + 1))) (f (w (1 + i))) := by
congr 1
· congr 1
· apply Finset.sum_congr rfl fun i hi => ?_
simp only [Finset.mem_Ico, zero_le', true_and_iff] at hi
dsimp only [w]
have A : i + 1 < N := Nat.lt_pred_iff.1 hi
have B : i < N := Nat.lt_of_succ_lt A
rw [if_pos A, if_pos B]
· have A : N - 1 + 1 = N := Nat.succ_pred_eq_of_pos Npos
have : Finset.Ico (N - 1) N = {N - 1} := by rw [← Nat.Ico_succ_singleton, A]
simp only [this, A, Finset.sum_singleton]
· apply Finset.sum_congr rfl fun i hi => ?_
rw [Finset.mem_Ico] at hi
dsimp only [w]
have A : ¬1 + i + 1 < N := by omega
have B : ¬1 + i + 1 = N := by omega
have C : ¬1 + i < N := by omega
have D : ¬1 + i = N := by omega
rw [if_neg A, if_neg B, if_neg C, if_neg D]
congr 3 <;> · rw [add_comm, Nat.sub_one]; apply Nat.pred_succ
_ = (∑ i ∈ Finset.Ico 0 (N - 1), edist (f (w (i + 1))) (f (w i))) +
edist (f (w (N + 1))) (f (w (N - 1))) +
∑ i ∈ Finset.Ico (N + 1) (n + 1), edist (f (w (i + 1))) (f (w i)) := by
congr 1
· congr 1
· dsimp only [w]
have A : ¬N + 1 < N := Nat.not_succ_lt_self
have B : N - 1 < N := Nat.pred_lt Npos.ne'
simp only [A, not_and, not_lt, Nat.succ_ne_self, Nat.add_succ_sub_one, add_zero,
if_false, B, if_true]
· exact Finset.sum_Ico_add (fun i => edist (f (w (i + 1))) (f (w i))) N n 1
_ ≤ ((∑ i ∈ Finset.Ico 0 (N - 1), edist (f (w (i + 1))) (f (w i))) +
∑ i ∈ Finset.Ico (N - 1) (N + 1), edist (f (w (i + 1))) (f (w i))) +
∑ i ∈ Finset.Ico (N + 1) (n + 1), edist (f (w (i + 1))) (f (w i)) := by
refine add_le_add (add_le_add le_rfl ?_) le_rfl
have A : N - 1 + 1 = N := Nat.succ_pred_eq_of_pos Npos
have B : N - 1 + 1 < N + 1 := A.symm ▸ N.lt_succ_self
have C : N - 1 < N + 1 := lt_of_le_of_lt N.pred_le N.lt_succ_self
rw [Finset.sum_eq_sum_Ico_succ_bot C, Finset.sum_eq_sum_Ico_succ_bot B, A, Finset.Ico_self,
Finset.sum_empty, add_zero, add_comm (edist _ _)]
exact edist_triangle _ _ _
_ = ∑ j ∈ Finset.range (n + 1), edist (f (w (j + 1))) (f (w j)) := by
rw [Finset.sum_Ico_consecutive, Finset.sum_Ico_consecutive, Finset.range_eq_Ico]
· exact zero_le _
· exact Nat.succ_le_succ hN.left
· exact zero_le _
· exact N.pred_le.trans N.le_succ
#align evariation_on.add_point eVariationOn.add_point
theorem add_le_union (f : α → E) {s t : Set α} (h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y) :
eVariationOn f s + eVariationOn f t ≤ eVariationOn f (s ∪ t) := by
by_cases hs : s = ∅
· simp [hs]
have : Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ s } :=
nonempty_monotone_mem (nonempty_iff_ne_empty.2 hs)
by_cases ht : t = ∅
· simp [ht]
have : Nonempty { u // Monotone u ∧ ∀ i : ℕ, u i ∈ t } :=
nonempty_monotone_mem (nonempty_iff_ne_empty.2 ht)
refine ENNReal.iSup_add_iSup_le ?_
rintro ⟨n, ⟨u, hu, us⟩⟩ ⟨m, ⟨v, hv, vt⟩⟩
let w i := if i ≤ n then u i else v (i - (n + 1))
have wst : ∀ i, w i ∈ s ∪ t := by
intro i
by_cases hi : i ≤ n
· simp [w, hi, us]
· simp [w, hi, vt]
have hw : Monotone w := by
intro i j hij
dsimp only [w]
split_ifs with h_1 h_2 h_2
· exact hu hij
· apply h _ (us _) _ (vt _)
· exfalso; exact h_1 (hij.trans h_2)
· apply hv (tsub_le_tsub hij le_rfl)
calc
((∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) +
∑ i ∈ Finset.range m, edist (f (v (i + 1))) (f (v i))) =
(∑ i ∈ Finset.range n, edist (f (w (i + 1))) (f (w i))) +
∑ i ∈ Finset.range m, edist (f (w (n + 1 + i + 1))) (f (w (n + 1 + i))) := by
dsimp only [w]
congr 1
· refine Finset.sum_congr rfl fun i hi => ?_
simp only [Finset.mem_range] at hi
have : i + 1 ≤ n := Nat.succ_le_of_lt hi
simp [hi.le, this]
· refine Finset.sum_congr rfl fun i hi => ?_
simp only [Finset.mem_range] at hi
have B : ¬n + 1 + i ≤ n := by omega
have A : ¬n + 1 + i + 1 ≤ n := fun h => B ((n + 1 + i).le_succ.trans h)
have C : n + 1 + i - n = i + 1 := by
rw [tsub_eq_iff_eq_add_of_le]
· abel
· exact n.le_succ.trans (n.succ.le_add_right i)
simp only [A, B, C, Nat.succ_sub_succ_eq_sub, if_false, add_tsub_cancel_left]
_ = (∑ i ∈ Finset.range n, edist (f (w (i + 1))) (f (w i))) +
∑ i ∈ Finset.Ico (n + 1) (n + 1 + m), edist (f (w (i + 1))) (f (w i)) := by
congr 1
rw [Finset.range_eq_Ico]
convert Finset.sum_Ico_add (fun i : ℕ => edist (f (w (i + 1))) (f (w i))) 0 m (n + 1)
using 3 <;> abel
_ ≤ ∑ i ∈ Finset.range (n + 1 + m), edist (f (w (i + 1))) (f (w i)) := by
rw [← Finset.sum_union]
· apply Finset.sum_le_sum_of_subset _
rintro i hi
simp only [Finset.mem_union, Finset.mem_range, Finset.mem_Ico] at hi ⊢
cases' hi with hi hi
· exact lt_of_lt_of_le hi (n.le_succ.trans (n.succ.le_add_right m))
· exact hi.2
· refine Finset.disjoint_left.2 fun i hi h'i => ?_
simp only [Finset.mem_Ico, Finset.mem_range] at hi h'i
exact hi.not_lt (Nat.lt_of_succ_le h'i.left)
_ ≤ eVariationOn f (s ∪ t) := sum_le f _ hw wst
#align evariation_on.add_le_union eVariationOn.add_le_union
theorem union (f : α → E) {s t : Set α} {x : α} (hs : IsGreatest s x) (ht : IsLeast t x) :
eVariationOn f (s ∪ t) = eVariationOn f s + eVariationOn f t := by
classical
apply le_antisymm _ (eVariationOn.add_le_union f fun a ha b hb => le_trans (hs.2 ha) (ht.2 hb))
apply iSup_le _
rintro ⟨n, ⟨u, hu, ust⟩⟩
obtain ⟨v, m, hv, vst, xv, huv⟩ : ∃ (v : ℕ → α) (m : ℕ),
Monotone v ∧ (∀ i, v i ∈ s ∪ t) ∧ x ∈ v '' Iio m ∧
(∑ i ∈ Finset.range n, edist (f (u (i + 1))) (f (u i))) ≤
∑ j ∈ Finset.range m, edist (f (v (j + 1))) (f (v j)) :=
eVariationOn.add_point f (mem_union_left t hs.1) u hu ust n
obtain ⟨N, hN, Nx⟩ : ∃ N, N < m ∧ v N = x := xv
calc
(∑ j ∈ Finset.range n, edist (f (u (j + 1))) (f (u j))) ≤
∑ j ∈ Finset.range m, edist (f (v (j + 1))) (f (v j)) :=
huv
_ = (∑ j ∈ Finset.Ico 0 N, edist (f (v (j + 1))) (f (v j))) +
∑ j ∈ Finset.Ico N m, edist (f (v (j + 1))) (f (v j)) := by
rw [Finset.range_eq_Ico, Finset.sum_Ico_consecutive _ (zero_le _) hN.le]
_ ≤ eVariationOn f s + eVariationOn f t := by
refine add_le_add ?_ ?_
· apply sum_le_of_monotoneOn_Icc _ (hv.monotoneOn _) fun i hi => ?_
rcases vst i with (h | h); · exact h
have : v i = x := by
apply le_antisymm
· rw [← Nx]; exact hv hi.2
· exact ht.2 h
rw [this]
exact hs.1
· apply sum_le_of_monotoneOn_Icc _ (hv.monotoneOn _) fun i hi => ?_
rcases vst i with (h | h); swap; · exact h
have : v i = x := by
apply le_antisymm
· exact hs.2 h
· rw [← Nx]; exact hv hi.1
rw [this]
exact ht.1
#align evariation_on.union eVariationOn.union
theorem Icc_add_Icc (f : α → E) {s : Set α} {a b c : α} (hab : a ≤ b) (hbc : b ≤ c) (hb : b ∈ s) :
eVariationOn f (s ∩ Icc a b) + eVariationOn f (s ∩ Icc b c) = eVariationOn f (s ∩ Icc a c) := by
have A : IsGreatest (s ∩ Icc a b) b :=
⟨⟨hb, hab, le_rfl⟩, inter_subset_right.trans Icc_subset_Iic_self⟩
have B : IsLeast (s ∩ Icc b c) b :=
⟨⟨hb, le_rfl, hbc⟩, inter_subset_right.trans Icc_subset_Ici_self⟩
rw [← eVariationOn.union f A B, ← inter_union_distrib_left, Icc_union_Icc_eq_Icc hab hbc]
#align evariation_on.Icc_add_Icc eVariationOn.Icc_add_Icc
section Monotone
variable {β : Type*} [LinearOrder β]
theorem comp_le_of_monotoneOn (f : α → E) {s : Set α} {t : Set β} (φ : β → α) (hφ : MonotoneOn φ t)
(φst : MapsTo φ t s) : eVariationOn (f ∘ φ) t ≤ eVariationOn f s :=
iSup_le fun ⟨n, u, hu, ut⟩ =>
le_iSup_of_le ⟨n, φ ∘ u, fun x y xy => hφ (ut x) (ut y) (hu xy), fun i => φst (ut i)⟩ le_rfl
#align evariation_on.comp_le_of_monotone_on eVariationOn.comp_le_of_monotoneOn
theorem comp_le_of_antitoneOn (f : α → E) {s : Set α} {t : Set β} (φ : β → α) (hφ : AntitoneOn φ t)
(φst : MapsTo φ t s) : eVariationOn (f ∘ φ) t ≤ eVariationOn f s := by
refine iSup_le ?_
rintro ⟨n, u, hu, ut⟩
rw [← Finset.sum_range_reflect]
refine (Finset.sum_congr rfl fun x hx => ?_).trans_le <| le_iSup_of_le
⟨n, fun i => φ (u <| n - i), fun x y xy => hφ (ut _) (ut _) (hu <| Nat.sub_le_sub_left xy n),
fun i => φst (ut _)⟩
le_rfl
rw [Finset.mem_range] at hx
dsimp only [Subtype.coe_mk, Function.comp_apply]
rw [edist_comm]
congr 4 <;> omega
#align evariation_on.comp_le_of_antitone_on eVariationOn.comp_le_of_antitoneOn
theorem comp_eq_of_monotoneOn (f : α → E) {t : Set β} (φ : β → α) (hφ : MonotoneOn φ t) :
eVariationOn (f ∘ φ) t = eVariationOn f (φ '' t) := by
apply le_antisymm (comp_le_of_monotoneOn f φ hφ (mapsTo_image φ t))
cases isEmpty_or_nonempty β
· convert zero_le (_ : ℝ≥0∞)
exact eVariationOn.subsingleton f <|
(subsingleton_of_subsingleton.image _).anti (surjOn_image φ t)
let ψ := φ.invFunOn t
have ψφs : EqOn (φ ∘ ψ) id (φ '' t) := (surjOn_image φ t).rightInvOn_invFunOn
have ψts : MapsTo ψ (φ '' t) t := (surjOn_image φ t).mapsTo_invFunOn
have hψ : MonotoneOn ψ (φ '' t) := Function.monotoneOn_of_rightInvOn_of_mapsTo hφ ψφs ψts
change eVariationOn (f ∘ id) (φ '' t) ≤ eVariationOn (f ∘ φ) t
rw [← eq_of_eqOn (ψφs.comp_left : EqOn (f ∘ φ ∘ ψ) (f ∘ id) (φ '' t))]
exact comp_le_of_monotoneOn _ ψ hψ ψts
#align evariation_on.comp_eq_of_monotone_on eVariationOn.comp_eq_of_monotoneOn
theorem comp_inter_Icc_eq_of_monotoneOn (f : α → E) {t : Set β} (φ : β → α) (hφ : MonotoneOn φ t)
{x y : β} (hx : x ∈ t) (hy : y ∈ t) :
eVariationOn (f ∘ φ) (t ∩ Icc x y) = eVariationOn f (φ '' t ∩ Icc (φ x) (φ y)) := by
rcases le_total x y with (h | h)
· convert comp_eq_of_monotoneOn f φ (hφ.mono Set.inter_subset_left)
apply le_antisymm
· rintro _ ⟨⟨u, us, rfl⟩, vφx, vφy⟩
rcases le_total x u with (xu | ux)
· rcases le_total u y with (uy | yu)
· exact ⟨u, ⟨us, ⟨xu, uy⟩⟩, rfl⟩
· rw [le_antisymm vφy (hφ hy us yu)]
exact ⟨y, ⟨hy, ⟨h, le_rfl⟩⟩, rfl⟩
· rw [← le_antisymm vφx (hφ us hx ux)]
exact ⟨x, ⟨hx, ⟨le_rfl, h⟩⟩, rfl⟩
· rintro _ ⟨u, ⟨⟨hu, xu, uy⟩, rfl⟩⟩
exact ⟨⟨u, hu, rfl⟩, ⟨hφ hx hu xu, hφ hu hy uy⟩⟩
· rw [eVariationOn.subsingleton, eVariationOn.subsingleton]
exacts [(Set.subsingleton_Icc_of_ge (hφ hy hx h)).anti Set.inter_subset_right,
(Set.subsingleton_Icc_of_ge h).anti Set.inter_subset_right]
#align evariation_on.comp_inter_Icc_eq_of_monotone_on eVariationOn.comp_inter_Icc_eq_of_monotoneOn
| Mathlib/Analysis/BoundedVariation.lean | 572 | 585 | theorem comp_eq_of_antitoneOn (f : α → E) {t : Set β} (φ : β → α) (hφ : AntitoneOn φ t) :
eVariationOn (f ∘ φ) t = eVariationOn f (φ '' t) := by |
apply le_antisymm (comp_le_of_antitoneOn f φ hφ (mapsTo_image φ t))
cases isEmpty_or_nonempty β
· convert zero_le (_ : ℝ≥0∞)
exact eVariationOn.subsingleton f <| (subsingleton_of_subsingleton.image _).anti
(surjOn_image φ t)
let ψ := φ.invFunOn t
have ψφs : EqOn (φ ∘ ψ) id (φ '' t) := (surjOn_image φ t).rightInvOn_invFunOn
have ψts := (surjOn_image φ t).mapsTo_invFunOn
have hψ : AntitoneOn ψ (φ '' t) := Function.antitoneOn_of_rightInvOn_of_mapsTo hφ ψφs ψts
change eVariationOn (f ∘ id) (φ '' t) ≤ eVariationOn (f ∘ φ) t
rw [← eq_of_eqOn (ψφs.comp_left : EqOn (f ∘ φ ∘ ψ) (f ∘ id) (φ '' t))]
exact comp_le_of_antitoneOn _ ψ hψ ψts
|
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Data.Nat.GCD.BigOperators
import Mathlib.Data.Nat.PrimeFin
import Mathlib.NumberTheory.Padics.PadicVal
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
-- Workaround for lean4#2038
attribute [-instance] instBEqNat
open Nat Finset List Finsupp
namespace Nat
variable {a b m n p : ℕ}
def factorization (n : ℕ) : ℕ →₀ ℕ where
support := n.primeFactors
toFun p := if p.Prime then padicValNat p n else 0
mem_support_toFun := by simp [not_or]; aesop
#align nat.factorization Nat.factorization
@[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl
theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by
simpa [factorization] using absurd pp
#align nat.factorization_def Nat.factorization_def
@[simp]
theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by
rcases n.eq_zero_or_pos with (rfl | hn0)
· simp [factorization, count]
if pp : p.Prime then ?_ else
rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)]
simp [factorization, pp]
simp only [factorization_def _ pp]
apply _root_.le_antisymm
· rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm
· rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le,
le_padicValNat_iff_replicate_subperm_factors pp hn0.ne']
intro h
have := h.count_le p
simp at this
#align nat.factors_count_eq Nat.factors_count_eq
theorem factorization_eq_factors_multiset (n : ℕ) :
n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by
ext p
simp
#align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset
theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) :
multiplicity p n = n.factorization p := by
simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt]
#align nat.multiplicity_eq_factorization Nat.multiplicity_eq_factorization
@[simp]
theorem factorization_prod_pow_eq_self {n : ℕ} (hn : n ≠ 0) : n.factorization.prod (· ^ ·) = n := by
rw [factorization_eq_factors_multiset n]
simp only [← prod_toMultiset, factorization, Multiset.prod_coe, Multiset.toFinsupp_toMultiset]
exact prod_factors hn
#align nat.factorization_prod_pow_eq_self Nat.factorization_prod_pow_eq_self
theorem eq_of_factorization_eq {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0)
(h : ∀ p : ℕ, a.factorization p = b.factorization p) : a = b :=
eq_of_perm_factors ha hb (by simpa only [List.perm_iff_count, factors_count_eq] using h)
#align nat.eq_of_factorization_eq Nat.eq_of_factorization_eq
theorem factorization_inj : Set.InjOn factorization { x : ℕ | x ≠ 0 } := fun a ha b hb h =>
eq_of_factorization_eq ha hb fun p => by simp [h]
#align nat.factorization_inj Nat.factorization_inj
@[simp]
theorem factorization_zero : factorization 0 = 0 := by ext; simp [factorization]
#align nat.factorization_zero Nat.factorization_zero
@[simp]
theorem factorization_one : factorization 1 = 0 := by ext; simp [factorization]
#align nat.factorization_one Nat.factorization_one
#noalign nat.support_factorization
#align nat.factor_iff_mem_factorization Nat.mem_primeFactors_iff_mem_factors
#align nat.prime_of_mem_factorization Nat.prime_of_mem_primeFactors
#align nat.pos_of_mem_factorization Nat.pos_of_mem_primeFactors
#align nat.le_of_mem_factorization Nat.le_of_mem_primeFactors
theorem factorization_eq_zero_iff (n p : ℕ) :
n.factorization p = 0 ↔ ¬p.Prime ∨ ¬p ∣ n ∨ n = 0 := by
simp_rw [← not_mem_support_iff, support_factorization, mem_primeFactors, not_and_or, not_ne_iff]
#align nat.factorization_eq_zero_iff Nat.factorization_eq_zero_iff
@[simp]
theorem factorization_eq_zero_of_non_prime (n : ℕ) {p : ℕ} (hp : ¬p.Prime) :
n.factorization p = 0 := by simp [factorization_eq_zero_iff, hp]
#align nat.factorization_eq_zero_of_non_prime Nat.factorization_eq_zero_of_non_prime
theorem factorization_eq_zero_of_not_dvd {n p : ℕ} (h : ¬p ∣ n) : n.factorization p = 0 := by
simp [factorization_eq_zero_iff, h]
#align nat.factorization_eq_zero_of_not_dvd Nat.factorization_eq_zero_of_not_dvd
theorem factorization_eq_zero_of_lt {n p : ℕ} (h : n < p) : n.factorization p = 0 :=
Finsupp.not_mem_support_iff.mp (mt le_of_mem_primeFactors (not_le_of_lt h))
#align nat.factorization_eq_zero_of_lt Nat.factorization_eq_zero_of_lt
@[simp]
theorem factorization_zero_right (n : ℕ) : n.factorization 0 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_zero
#align nat.factorization_zero_right Nat.factorization_zero_right
@[simp]
theorem factorization_one_right (n : ℕ) : n.factorization 1 = 0 :=
factorization_eq_zero_of_non_prime _ not_prime_one
#align nat.factorization_one_right Nat.factorization_one_right
theorem dvd_of_factorization_pos {n p : ℕ} (hn : n.factorization p ≠ 0) : p ∣ n :=
dvd_of_mem_factors <| mem_primeFactors_iff_mem_factors.1 <| mem_support_iff.2 hn
#align nat.dvd_of_factorization_pos Nat.dvd_of_factorization_pos
theorem Prime.factorization_pos_of_dvd {n p : ℕ} (hp : p.Prime) (hn : n ≠ 0) (h : p ∣ n) :
0 < n.factorization p := by
rwa [← factors_count_eq, count_pos_iff_mem, mem_factors_iff_dvd hn hp]
#align nat.prime.factorization_pos_of_dvd Nat.Prime.factorization_pos_of_dvd
theorem factorization_eq_zero_of_remainder {p r : ℕ} (i : ℕ) (hr : ¬p ∣ r) :
(p * i + r).factorization p = 0 := by
apply factorization_eq_zero_of_not_dvd
rwa [← Nat.dvd_add_iff_right (Dvd.intro i rfl)]
#align nat.factorization_eq_zero_of_remainder Nat.factorization_eq_zero_of_remainder
theorem factorization_eq_zero_iff_remainder {p r : ℕ} (i : ℕ) (pp : p.Prime) (hr0 : r ≠ 0) :
¬p ∣ r ↔ (p * i + r).factorization p = 0 := by
refine ⟨factorization_eq_zero_of_remainder i, fun h => ?_⟩
rw [factorization_eq_zero_iff] at h
contrapose! h
refine ⟨pp, ?_, ?_⟩
· rwa [← Nat.dvd_add_iff_right (dvd_mul_right p i)]
· contrapose! hr0
exact (add_eq_zero_iff.mp hr0).2
#align nat.factorization_eq_zero_iff_remainder Nat.factorization_eq_zero_iff_remainder
theorem factorization_eq_zero_iff' (n : ℕ) : n.factorization = 0 ↔ n = 0 ∨ n = 1 := by
rw [factorization_eq_factors_multiset n]
simp [factorization, AddEquiv.map_eq_zero_iff, Multiset.coe_eq_zero]
#align nat.factorization_eq_zero_iff' Nat.factorization_eq_zero_iff'
@[simp]
theorem factorization_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) :
(a * b).factorization = a.factorization + b.factorization := by
ext p
simp only [add_apply, ← factors_count_eq, perm_iff_count.mp (perm_factors_mul ha hb) p,
count_append]
#align nat.factorization_mul Nat.factorization_mul
#align nat.factorization_mul_support Nat.primeFactors_mul
lemma prod_factorization_eq_prod_primeFactors {β : Type*} [CommMonoid β] (f : ℕ → ℕ → β) :
n.factorization.prod f = ∏ p ∈ n.primeFactors, f p (n.factorization p) := rfl
#align nat.prod_factorization_eq_prod_factors Nat.prod_factorization_eq_prod_primeFactors
lemma prod_primeFactors_prod_factorization {β : Type*} [CommMonoid β] (f : ℕ → β) :
∏ p ∈ n.primeFactors, f p = n.factorization.prod (fun p _ ↦ f p) := rfl
theorem factorization_prod {α : Type*} {S : Finset α} {g : α → ℕ} (hS : ∀ x ∈ S, g x ≠ 0) :
(S.prod g).factorization = S.sum fun x => (g x).factorization := by
classical
ext p
refine Finset.induction_on' S ?_ ?_
· simp
· intro x T hxS hTS hxT IH
have hT : T.prod g ≠ 0 := prod_ne_zero_iff.mpr fun x hx => hS x (hTS hx)
simp [prod_insert hxT, sum_insert hxT, ← IH, factorization_mul (hS x hxS) hT]
#align nat.factorization_prod Nat.factorization_prod
@[simp]
theorem factorization_pow (n k : ℕ) : factorization (n ^ k) = k • n.factorization := by
induction' k with k ih; · simp
rcases eq_or_ne n 0 with (rfl | hn)
· simp
rw [Nat.pow_succ, mul_comm, factorization_mul hn (pow_ne_zero _ hn), ih,
add_smul, one_smul, add_comm]
#align nat.factorization_pow Nat.factorization_pow
@[simp]
protected theorem Prime.factorization {p : ℕ} (hp : Prime p) : p.factorization = single p 1 := by
ext q
rw [← factors_count_eq, factors_prime hp, single_apply, count_singleton', if_congr eq_comm] <;>
rfl
#align nat.prime.factorization Nat.Prime.factorization
@[simp]
theorem Prime.factorization_self {p : ℕ} (hp : Prime p) : p.factorization p = 1 := by simp [hp]
#align nat.prime.factorization_self Nat.Prime.factorization_self
theorem Prime.factorization_pow {p k : ℕ} (hp : Prime p) : (p ^ k).factorization = single p k := by
simp [hp]
#align nat.prime.factorization_pow Nat.Prime.factorization_pow
theorem eq_pow_of_factorization_eq_single {n p k : ℕ} (hn : n ≠ 0)
(h : n.factorization = Finsupp.single p k) : n = p ^ k := by
-- Porting note: explicitly added `Finsupp.prod_single_index`
rw [← Nat.factorization_prod_pow_eq_self hn, h, Finsupp.prod_single_index]
simp
#align nat.eq_pow_of_factorization_eq_single Nat.eq_pow_of_factorization_eq_single
theorem Prime.eq_of_factorization_pos {p q : ℕ} (hp : Prime p) (h : p.factorization q ≠ 0) :
p = q := by simpa [hp.factorization, single_apply] using h
#align nat.prime.eq_of_factorization_pos Nat.Prime.eq_of_factorization_pos
theorem prod_pow_factorization_eq_self {f : ℕ →₀ ℕ} (hf : ∀ p : ℕ, p ∈ f.support → Prime p) :
(f.prod (· ^ ·)).factorization = f := by
have h : ∀ x : ℕ, x ∈ f.support → x ^ f x ≠ 0 := fun p hp =>
pow_ne_zero _ (Prime.ne_zero (hf p hp))
simp only [Finsupp.prod, factorization_prod h]
conv =>
rhs
rw [(sum_single f).symm]
exact sum_congr rfl fun p hp => Prime.factorization_pow (hf p hp)
#align nat.prod_pow_factorization_eq_self Nat.prod_pow_factorization_eq_self
theorem eq_factorization_iff {n : ℕ} {f : ℕ →₀ ℕ} (hn : n ≠ 0) (hf : ∀ p ∈ f.support, Prime p) :
f = n.factorization ↔ f.prod (· ^ ·) = n :=
⟨fun h => by rw [h, factorization_prod_pow_eq_self hn], fun h => by
rw [← h, prod_pow_factorization_eq_self hf]⟩
#align nat.eq_factorization_iff Nat.eq_factorization_iff
def factorizationEquiv : ℕ+ ≃ { f : ℕ →₀ ℕ | ∀ p ∈ f.support, Prime p } where
toFun := fun ⟨n, _⟩ => ⟨n.factorization, fun _ => prime_of_mem_primeFactors⟩
invFun := fun ⟨f, hf⟩ =>
⟨f.prod _, prod_pow_pos_of_zero_not_mem_support fun H => not_prime_zero (hf 0 H)⟩
left_inv := fun ⟨_, hx⟩ => Subtype.ext <| factorization_prod_pow_eq_self hx.ne.symm
right_inv := fun ⟨_, hf⟩ => Subtype.ext <| prod_pow_factorization_eq_self hf
#align nat.factorization_equiv Nat.factorizationEquiv
theorem factorizationEquiv_apply (n : ℕ+) : (factorizationEquiv n).1 = n.1.factorization := by
cases n
rfl
#align nat.factorization_equiv_apply Nat.factorizationEquiv_apply
theorem factorizationEquiv_inv_apply {f : ℕ →₀ ℕ} (hf : ∀ p ∈ f.support, Prime p) :
(factorizationEquiv.symm ⟨f, hf⟩).1 = f.prod (· ^ ·) :=
rfl
#align nat.factorization_equiv_inv_apply Nat.factorizationEquiv_inv_apply
-- Porting note: Lean 4 thinks we need `HPow` without this
set_option quotPrecheck false in
notation "ord_proj[" p "] " n:arg => p ^ Nat.factorization n p
notation "ord_compl[" p "] " n:arg => n / ord_proj[p] n
@[simp]
theorem ord_proj_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ord_proj[p] n = 1 := by
simp [factorization_eq_zero_of_non_prime n hp]
#align nat.ord_proj_of_not_prime Nat.ord_proj_of_not_prime
@[simp]
theorem ord_compl_of_not_prime (n p : ℕ) (hp : ¬p.Prime) : ord_compl[p] n = n := by
simp [factorization_eq_zero_of_non_prime n hp]
#align nat.ord_compl_of_not_prime Nat.ord_compl_of_not_prime
theorem ord_proj_dvd (n p : ℕ) : ord_proj[p] n ∣ n := by
if hp : p.Prime then ?_ else simp [hp]
rw [← factors_count_eq]
apply dvd_of_factors_subperm (pow_ne_zero _ hp.ne_zero)
rw [hp.factors_pow, List.subperm_ext_iff]
intro q hq
simp [List.eq_of_mem_replicate hq]
#align nat.ord_proj_dvd Nat.ord_proj_dvd
theorem ord_compl_dvd (n p : ℕ) : ord_compl[p] n ∣ n :=
div_dvd_of_dvd (ord_proj_dvd n p)
#align nat.ord_compl_dvd Nat.ord_compl_dvd
theorem ord_proj_pos (n p : ℕ) : 0 < ord_proj[p] n := by
if pp : p.Prime then simp [pow_pos pp.pos] else simp [pp]
#align nat.ord_proj_pos Nat.ord_proj_pos
theorem ord_proj_le {n : ℕ} (p : ℕ) (hn : n ≠ 0) : ord_proj[p] n ≤ n :=
le_of_dvd hn.bot_lt (Nat.ord_proj_dvd n p)
#align nat.ord_proj_le Nat.ord_proj_le
theorem ord_compl_pos {n : ℕ} (p : ℕ) (hn : n ≠ 0) : 0 < ord_compl[p] n := by
if pp : p.Prime then
exact Nat.div_pos (ord_proj_le p hn) (ord_proj_pos n p)
else
simpa [Nat.factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
#align nat.ord_compl_pos Nat.ord_compl_pos
theorem ord_compl_le (n p : ℕ) : ord_compl[p] n ≤ n :=
Nat.div_le_self _ _
#align nat.ord_compl_le Nat.ord_compl_le
theorem ord_proj_mul_ord_compl_eq_self (n p : ℕ) : ord_proj[p] n * ord_compl[p] n = n :=
Nat.mul_div_cancel' (ord_proj_dvd n p)
#align nat.ord_proj_mul_ord_compl_eq_self Nat.ord_proj_mul_ord_compl_eq_self
theorem ord_proj_mul {a b : ℕ} (p : ℕ) (ha : a ≠ 0) (hb : b ≠ 0) :
ord_proj[p] (a * b) = ord_proj[p] a * ord_proj[p] b := by
simp [factorization_mul ha hb, pow_add]
#align nat.ord_proj_mul Nat.ord_proj_mul
theorem ord_compl_mul (a b p : ℕ) : ord_compl[p] (a * b) = ord_compl[p] a * ord_compl[p] b := by
if ha : a = 0 then simp [ha] else
if hb : b = 0 then simp [hb] else
simp only [ord_proj_mul p ha hb]
rw [div_mul_div_comm (ord_proj_dvd a p) (ord_proj_dvd b p)]
#align nat.ord_compl_mul Nat.ord_compl_mul
#align nat.dvd_of_mem_factorization Nat.dvd_of_mem_primeFactors
theorem factorization_lt {n : ℕ} (p : ℕ) (hn : n ≠ 0) : n.factorization p < n := by
by_cases pp : p.Prime
· exact (pow_lt_pow_iff_right pp.one_lt).1 <| (ord_proj_le p hn).trans_lt <|
lt_pow_self pp.one_lt _
· simpa only [factorization_eq_zero_of_non_prime n pp] using hn.bot_lt
#align nat.factorization_lt Nat.factorization_lt
theorem factorization_le_of_le_pow {n p b : ℕ} (hb : n ≤ p ^ b) : n.factorization p ≤ b := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then
exact (pow_le_pow_iff_right pp.one_lt).1 ((ord_proj_le p hn).trans hb)
else
simp [factorization_eq_zero_of_non_prime n pp]
#align nat.factorization_le_of_le_pow Nat.factorization_le_of_le_pow
theorem factorization_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
d.factorization ≤ n.factorization ↔ d ∣ n := by
constructor
· intro hdn
set K := n.factorization - d.factorization with hK
use K.prod (· ^ ·)
rw [← factorization_prod_pow_eq_self hn, ← factorization_prod_pow_eq_self hd,
← Finsupp.prod_add_index' pow_zero pow_add, hK, add_tsub_cancel_of_le hdn]
· rintro ⟨c, rfl⟩
rw [factorization_mul hd (right_ne_zero_of_mul hn)]
simp
#align nat.factorization_le_iff_dvd Nat.factorization_le_iff_dvd
theorem factorization_prime_le_iff_dvd {d n : ℕ} (hd : d ≠ 0) (hn : n ≠ 0) :
(∀ p : ℕ, p.Prime → d.factorization p ≤ n.factorization p) ↔ d ∣ n := by
rw [← factorization_le_iff_dvd hd hn]
refine ⟨fun h p => (em p.Prime).elim (h p) fun hp => ?_, fun h p _ => h p⟩
simp_rw [factorization_eq_zero_of_non_prime _ hp]
rfl
#align nat.factorization_prime_le_iff_dvd Nat.factorization_prime_le_iff_dvd
theorem pow_succ_factorization_not_dvd {n p : ℕ} (hn : n ≠ 0) (hp : p.Prime) :
¬p ^ (n.factorization p + 1) ∣ n := by
intro h
rw [← factorization_le_iff_dvd (pow_pos hp.pos _).ne' hn] at h
simpa [hp.factorization] using h p
#align nat.pow_succ_factorization_not_dvd Nat.pow_succ_factorization_not_dvd
theorem factorization_le_factorization_mul_left {a b : ℕ} (hb : b ≠ 0) :
a.factorization ≤ (a * b).factorization := by
rcases eq_or_ne a 0 with (rfl | ha)
· simp
rw [factorization_le_iff_dvd ha <| mul_ne_zero ha hb]
exact Dvd.intro b rfl
#align nat.factorization_le_factorization_mul_left Nat.factorization_le_factorization_mul_left
theorem factorization_le_factorization_mul_right {a b : ℕ} (ha : a ≠ 0) :
b.factorization ≤ (a * b).factorization := by
rw [mul_comm]
apply factorization_le_factorization_mul_left ha
#align nat.factorization_le_factorization_mul_right Nat.factorization_le_factorization_mul_right
theorem Prime.pow_dvd_iff_le_factorization {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ k ≤ n.factorization p := by
rw [← factorization_le_iff_dvd (pow_pos pp.pos k).ne' hn, pp.factorization_pow, single_le_iff]
#align nat.prime.pow_dvd_iff_le_factorization Nat.Prime.pow_dvd_iff_le_factorization
theorem Prime.pow_dvd_iff_dvd_ord_proj {p k n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ^ k ∣ n ↔ p ^ k ∣ ord_proj[p] n := by
rw [pow_dvd_pow_iff_le_right pp.one_lt, pp.pow_dvd_iff_le_factorization hn]
#align nat.prime.pow_dvd_iff_dvd_ord_proj Nat.Prime.pow_dvd_iff_dvd_ord_proj
theorem Prime.dvd_iff_one_le_factorization {p n : ℕ} (pp : Prime p) (hn : n ≠ 0) :
p ∣ n ↔ 1 ≤ n.factorization p :=
Iff.trans (by simp) (pp.pow_dvd_iff_le_factorization hn)
#align nat.prime.dvd_iff_one_le_factorization Nat.Prime.dvd_iff_one_le_factorization
theorem exists_factorization_lt_of_lt {a b : ℕ} (ha : a ≠ 0) (hab : a < b) :
∃ p : ℕ, a.factorization p < b.factorization p := by
have hb : b ≠ 0 := (ha.bot_lt.trans hab).ne'
contrapose! hab
rw [← Finsupp.le_def, factorization_le_iff_dvd hb ha] at hab
exact le_of_dvd ha.bot_lt hab
#align nat.exists_factorization_lt_of_lt Nat.exists_factorization_lt_of_lt
@[simp]
theorem factorization_div {d n : ℕ} (h : d ∣ n) :
(n / d).factorization = n.factorization - d.factorization := by
rcases eq_or_ne d 0 with (rfl | hd); · simp [zero_dvd_iff.mp h]
rcases eq_or_ne n 0 with (rfl | hn); · simp
apply add_left_injective d.factorization
simp only
rw [tsub_add_cancel_of_le <| (Nat.factorization_le_iff_dvd hd hn).mpr h, ←
Nat.factorization_mul (Nat.div_pos (Nat.le_of_dvd hn.bot_lt h) hd.bot_lt).ne' hd,
Nat.div_mul_cancel h]
#align nat.factorization_div Nat.factorization_div
theorem dvd_ord_proj_of_dvd {n p : ℕ} (hn : n ≠ 0) (pp : p.Prime) (h : p ∣ n) : p ∣ ord_proj[p] n :=
dvd_pow_self p (Prime.factorization_pos_of_dvd pp hn h).ne'
#align nat.dvd_ord_proj_of_dvd Nat.dvd_ord_proj_of_dvd
theorem not_dvd_ord_compl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : ¬p ∣ ord_compl[p] n := by
rw [Nat.Prime.dvd_iff_one_le_factorization hp (ord_compl_pos p hn).ne']
rw [Nat.factorization_div (Nat.ord_proj_dvd n p)]
simp [hp.factorization]
#align nat.not_dvd_ord_compl Nat.not_dvd_ord_compl
theorem coprime_ord_compl {n p : ℕ} (hp : Prime p) (hn : n ≠ 0) : Coprime p (ord_compl[p] n) :=
(or_iff_left (not_dvd_ord_compl hp hn)).mp <| coprime_or_dvd_of_prime hp _
#align nat.coprime_ord_compl Nat.coprime_ord_compl
theorem factorization_ord_compl (n p : ℕ) :
(ord_compl[p] n).factorization = n.factorization.erase p := by
if hn : n = 0 then simp [hn] else
if pp : p.Prime then ?_ else
-- Porting note: needed to solve side goal explicitly
rw [Finsupp.erase_of_not_mem_support] <;> simp [pp]
ext q
rcases eq_or_ne q p with (rfl | hqp)
· simp only [Finsupp.erase_same, factorization_eq_zero_iff, not_dvd_ord_compl pp hn]
simp
· rw [Finsupp.erase_ne hqp, factorization_div (ord_proj_dvd n p)]
simp [pp.factorization, hqp.symm]
#align nat.factorization_ord_compl Nat.factorization_ord_compl
-- `ord_compl[p] n` is the largest divisor of `n` not divisible by `p`.
theorem dvd_ord_compl_of_dvd_not_dvd {p d n : ℕ} (hdn : d ∣ n) (hpd : ¬p ∣ d) :
d ∣ ord_compl[p] n := by
if hn0 : n = 0 then simp [hn0] else
if hd0 : d = 0 then simp [hd0] at hpd else
rw [← factorization_le_iff_dvd hd0 (ord_compl_pos p hn0).ne', factorization_ord_compl]
intro q
if hqp : q = p then
simp [factorization_eq_zero_iff, hqp, hpd]
else
simp [hqp, (factorization_le_iff_dvd hd0 hn0).2 hdn q]
#align nat.dvd_ord_compl_of_dvd_not_dvd Nat.dvd_ord_compl_of_dvd_not_dvd
theorem exists_eq_pow_mul_and_not_dvd {n : ℕ} (hn : n ≠ 0) (p : ℕ) (hp : p ≠ 1) :
∃ e n' : ℕ, ¬p ∣ n' ∧ n = p ^ e * n' :=
let ⟨a', h₁, h₂⟩ :=
multiplicity.exists_eq_pow_mul_and_not_dvd
(multiplicity.finite_nat_iff.mpr ⟨hp, Nat.pos_of_ne_zero hn⟩)
⟨_, a', h₂, h₁⟩
#align nat.exists_eq_pow_mul_and_not_dvd Nat.exists_eq_pow_mul_and_not_dvd
theorem dvd_iff_div_factorization_eq_tsub {d n : ℕ} (hd : d ≠ 0) (hdn : d ≤ n) :
d ∣ n ↔ (n / d).factorization = n.factorization - d.factorization := by
refine ⟨factorization_div, ?_⟩
rcases eq_or_lt_of_le hdn with (rfl | hd_lt_n); · simp
have h1 : n / d ≠ 0 := fun H => Nat.lt_asymm hd_lt_n ((Nat.div_eq_zero_iff hd.bot_lt).mp H)
intro h
rw [dvd_iff_le_div_mul n d]
by_contra h2
cases' exists_factorization_lt_of_lt (mul_ne_zero h1 hd) (not_le.mp h2) with p hp
rwa [factorization_mul h1 hd, add_apply, ← lt_tsub_iff_right, h, tsub_apply,
lt_self_iff_false] at hp
#align nat.dvd_iff_div_factorization_eq_tsub Nat.dvd_iff_div_factorization_eq_tsub
theorem ord_proj_dvd_ord_proj_of_dvd {a b : ℕ} (hb0 : b ≠ 0) (hab : a ∣ b) (p : ℕ) :
ord_proj[p] a ∣ ord_proj[p] b := by
rcases em' p.Prime with (pp | pp); · simp [pp]
rcases eq_or_ne a 0 with (rfl | ha0); · simp
rw [pow_dvd_pow_iff_le_right pp.one_lt]
exact (factorization_le_iff_dvd ha0 hb0).2 hab p
#align nat.ord_proj_dvd_ord_proj_of_dvd Nat.ord_proj_dvd_ord_proj_of_dvd
theorem ord_proj_dvd_ord_proj_iff_dvd {a b : ℕ} (ha0 : a ≠ 0) (hb0 : b ≠ 0) :
(∀ p : ℕ, ord_proj[p] a ∣ ord_proj[p] b) ↔ a ∣ b := by
refine ⟨fun h => ?_, fun hab p => ord_proj_dvd_ord_proj_of_dvd hb0 hab p⟩
rw [← factorization_le_iff_dvd ha0 hb0]
intro q
rcases le_or_lt q 1 with (hq_le | hq1)
· interval_cases q <;> simp
exact (pow_dvd_pow_iff_le_right hq1).1 (h q)
#align nat.ord_proj_dvd_ord_proj_iff_dvd Nat.ord_proj_dvd_ord_proj_iff_dvd
| Mathlib/Data/Nat/Factorization/Basic.lean | 568 | 583 | theorem ord_compl_dvd_ord_compl_of_dvd {a b : ℕ} (hab : a ∣ b) (p : ℕ) :
ord_compl[p] a ∣ ord_compl[p] b := by |
rcases em' p.Prime with (pp | pp)
· simp [pp, hab]
rcases eq_or_ne b 0 with (rfl | hb0)
· simp
rcases eq_or_ne a 0 with (rfl | ha0)
· cases hb0 (zero_dvd_iff.1 hab)
have ha := (Nat.div_pos (ord_proj_le p ha0) (ord_proj_pos a p)).ne'
have hb := (Nat.div_pos (ord_proj_le p hb0) (ord_proj_pos b p)).ne'
rw [← factorization_le_iff_dvd ha hb, factorization_ord_compl a p, factorization_ord_compl b p]
intro q
rcases eq_or_ne q p with (rfl | hqp)
· simp
simp_rw [erase_ne hqp]
exact (factorization_le_iff_dvd ha0 hb0).2 hab q
|
import Mathlib.Topology.Algebra.InfiniteSum.Group
import Mathlib.Topology.Algebra.Nonarchimedean.Basic
open Filter Topology
namespace NonarchimedeanGroup
variable {α G : Type*}
variable [CommGroup G] [UniformSpace G] [UniformGroup G] [NonarchimedeanGroup G]
@[to_additive "Let `G` be a nonarchimedean additive abelian group, and let `f : α → G` be a function
that tends to zero on the filter of cofinite sets. For each finite subset of `α`, consider the
partial sum of `f` on that subset. These partial sums form a Cauchy filter."]
| Mathlib/Topology/Algebra/InfiniteSum/Nonarchimedean.lean | 31 | 48 | theorem cauchySeq_prod_of_tendsto_cofinite_one {f : α → G} (hf : Tendsto f cofinite (𝓝 1)) :
CauchySeq (fun s ↦ ∏ i ∈ s, f i) := by |
/- Let `U` be a neighborhood of `1`. It suffices to show that there exists `s : Finset α` such
that for any `t : Finset α` disjoint from `s`, we have `∏ i ∈ t, f i ∈ U`. -/
apply cauchySeq_finset_iff_prod_vanishing.mpr
intro U hU
-- Since `G` is nonarchimedean, `U` contains an open subgroup `V`.
rcases is_nonarchimedean U hU with ⟨V, hV⟩
/- Let `s` be the set of all indices `i : α` such that `f i ∉ V`. By our assumption `hf`, this is
finite. -/
use (tendsto_def.mp hf V V.mem_nhds_one).toFinset
/- For any `t : Finset α` disjoint from `s`, the product `∏ i ∈ t, f i` is a product of elements
of `V`, so it is an element of `V` too. Thus, `∏ i ∈ t, f i ∈ U`, as desired. -/
intro t ht
apply hV
apply Subgroup.prod_mem
intro i hi
simpa using Finset.disjoint_left.mp ht hi
|
import Mathlib.Topology.Separation
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.UniformSpace.Cauchy
#align_import topology.uniform_space.uniform_convergence from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9"
noncomputable section
open Topology Uniformity Filter Set
universe u v w x
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Type x} [UniformSpace β]
variable {F : ι → α → β} {f : α → β} {s s' : Set α} {x : α} {p : Filter ι} {p' : Filter α}
{g : ι → α}
def TendstoUniformlyOnFilter (F : ι → α → β) (f : α → β) (p : Filter ι) (p' : Filter α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n : ι × α in p ×ˢ p', (f n.snd, F n.fst n.snd) ∈ u
#align tendsto_uniformly_on_filter TendstoUniformlyOnFilter
theorem tendstoUniformlyOnFilter_iff_tendsto :
TendstoUniformlyOnFilter F f p p' ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ p') (𝓤 β) :=
Iff.rfl
#align tendsto_uniformly_on_filter_iff_tendsto tendstoUniformlyOnFilter_iff_tendsto
def TendstoUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, x ∈ s → (f x, F n x) ∈ u
#align tendsto_uniformly_on TendstoUniformlyOn
theorem tendstoUniformlyOn_iff_tendstoUniformlyOnFilter :
TendstoUniformlyOn F f p s ↔ TendstoUniformlyOnFilter F f p (𝓟 s) := by
simp only [TendstoUniformlyOn, TendstoUniformlyOnFilter]
apply forall₂_congr
simp_rw [eventually_prod_principal_iff]
simp
#align tendsto_uniformly_on_iff_tendsto_uniformly_on_filter tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
alias ⟨TendstoUniformlyOn.tendstoUniformlyOnFilter, TendstoUniformlyOnFilter.tendstoUniformlyOn⟩ :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter
#align tendsto_uniformly_on.tendsto_uniformly_on_filter TendstoUniformlyOn.tendstoUniformlyOnFilter
#align tendsto_uniformly_on_filter.tendsto_uniformly_on TendstoUniformlyOnFilter.tendstoUniformlyOn
theorem tendstoUniformlyOn_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} {s : Set α} :
TendstoUniformlyOn F f p s ↔
Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ 𝓟 s) (𝓤 β) := by
simp [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
#align tendsto_uniformly_on_iff_tendsto tendstoUniformlyOn_iff_tendsto
def TendstoUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) :=
∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, (f x, F n x) ∈ u
#align tendsto_uniformly TendstoUniformly
-- Porting note: moved from below
theorem tendstoUniformlyOn_univ : TendstoUniformlyOn F f p univ ↔ TendstoUniformly F f p := by
simp [TendstoUniformlyOn, TendstoUniformly]
#align tendsto_uniformly_on_univ tendstoUniformlyOn_univ
theorem tendstoUniformly_iff_tendstoUniformlyOnFilter :
TendstoUniformly F f p ↔ TendstoUniformlyOnFilter F f p ⊤ := by
rw [← tendstoUniformlyOn_univ, tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, principal_univ]
#align tendsto_uniformly_iff_tendsto_uniformly_on_filter tendstoUniformly_iff_tendstoUniformlyOnFilter
theorem TendstoUniformly.tendstoUniformlyOnFilter (h : TendstoUniformly F f p) :
TendstoUniformlyOnFilter F f p ⊤ := by rwa [← tendstoUniformly_iff_tendstoUniformlyOnFilter]
#align tendsto_uniformly.tendsto_uniformly_on_filter TendstoUniformly.tendstoUniformlyOnFilter
theorem tendstoUniformlyOn_iff_tendstoUniformly_comp_coe :
TendstoUniformlyOn F f p s ↔ TendstoUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p :=
forall₂_congr fun u _ => by simp
#align tendsto_uniformly_on_iff_tendsto_uniformly_comp_coe tendstoUniformlyOn_iff_tendstoUniformly_comp_coe
theorem tendstoUniformly_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} :
TendstoUniformly F f p ↔ Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ ⊤) (𝓤 β) := by
simp [tendstoUniformly_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto]
#align tendsto_uniformly_iff_tendsto tendstoUniformly_iff_tendsto
theorem TendstoUniformlyOnFilter.tendsto_at (h : TendstoUniformlyOnFilter F f p p')
(hx : 𝓟 {x} ≤ p') : Tendsto (fun n => F n x) p <| 𝓝 (f x) := by
refine Uniform.tendsto_nhds_right.mpr fun u hu => mem_map.mpr ?_
filter_upwards [(h u hu).curry]
intro i h
simpa using h.filter_mono hx
#align tendsto_uniformly_on_filter.tendsto_at TendstoUniformlyOnFilter.tendsto_at
theorem TendstoUniformlyOn.tendsto_at (h : TendstoUniformlyOn F f p s) {x : α} (hx : x ∈ s) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at
(le_principal_iff.mpr <| mem_principal.mpr <| singleton_subset_iff.mpr <| hx)
#align tendsto_uniformly_on.tendsto_at TendstoUniformlyOn.tendsto_at
theorem TendstoUniformly.tendsto_at (h : TendstoUniformly F f p) (x : α) :
Tendsto (fun n => F n x) p <| 𝓝 (f x) :=
h.tendstoUniformlyOnFilter.tendsto_at le_top
#align tendsto_uniformly.tendsto_at TendstoUniformly.tendsto_at
-- Porting note: tendstoUniformlyOn_univ moved up
theorem TendstoUniformlyOnFilter.mono_left {p'' : Filter ι} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p) : TendstoUniformlyOnFilter F f p'' p' := fun u hu =>
(h u hu).filter_mono (p'.prod_mono_left hp)
#align tendsto_uniformly_on_filter.mono_left TendstoUniformlyOnFilter.mono_left
theorem TendstoUniformlyOnFilter.mono_right {p'' : Filter α} (h : TendstoUniformlyOnFilter F f p p')
(hp : p'' ≤ p') : TendstoUniformlyOnFilter F f p p'' := fun u hu =>
(h u hu).filter_mono (p.prod_mono_right hp)
#align tendsto_uniformly_on_filter.mono_right TendstoUniformlyOnFilter.mono_right
theorem TendstoUniformlyOn.mono {s' : Set α} (h : TendstoUniformlyOn F f p s) (h' : s' ⊆ s) :
TendstoUniformlyOn F f p s' :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(h.tendstoUniformlyOnFilter.mono_right (le_principal_iff.mpr <| mem_principal.mpr h'))
#align tendsto_uniformly_on.mono TendstoUniformlyOn.mono
theorem TendstoUniformlyOnFilter.congr {F' : ι → α → β} (hf : TendstoUniformlyOnFilter F f p p')
(hff' : ∀ᶠ n : ι × α in p ×ˢ p', F n.fst n.snd = F' n.fst n.snd) :
TendstoUniformlyOnFilter F' f p p' := by
refine fun u hu => ((hf u hu).and hff').mono fun n h => ?_
rw [← h.right]
exact h.left
#align tendsto_uniformly_on_filter.congr TendstoUniformlyOnFilter.congr
theorem TendstoUniformlyOn.congr {F' : ι → α → β} (hf : TendstoUniformlyOn F f p s)
(hff' : ∀ᶠ n in p, Set.EqOn (F n) (F' n) s) : TendstoUniformlyOn F' f p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at hf ⊢
refine hf.congr ?_
rw [eventually_iff] at hff' ⊢
simp only [Set.EqOn] at hff'
simp only [mem_prod_principal, hff', mem_setOf_eq]
#align tendsto_uniformly_on.congr TendstoUniformlyOn.congr
theorem TendstoUniformlyOn.congr_right {g : α → β} (hf : TendstoUniformlyOn F f p s)
(hfg : EqOn f g s) : TendstoUniformlyOn F g p s := fun u hu => by
filter_upwards [hf u hu] with i hi a ha using hfg ha ▸ hi a ha
#align tendsto_uniformly_on.congr_right TendstoUniformlyOn.congr_right
protected theorem TendstoUniformly.tendstoUniformlyOn (h : TendstoUniformly F f p) :
TendstoUniformlyOn F f p s :=
(tendstoUniformlyOn_univ.2 h).mono (subset_univ s)
#align tendsto_uniformly.tendsto_uniformly_on TendstoUniformly.tendstoUniformlyOn
theorem TendstoUniformlyOnFilter.comp (h : TendstoUniformlyOnFilter F f p p') (g : γ → α) :
TendstoUniformlyOnFilter (fun n => F n ∘ g) (f ∘ g) p (p'.comap g) := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h ⊢
exact h.comp (tendsto_id.prod_map tendsto_comap)
#align tendsto_uniformly_on_filter.comp TendstoUniformlyOnFilter.comp
theorem TendstoUniformlyOn.comp (h : TendstoUniformlyOn F f p s) (g : γ → α) :
TendstoUniformlyOn (fun n => F n ∘ g) (f ∘ g) p (g ⁻¹' s) := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [TendstoUniformlyOn, comap_principal] using TendstoUniformlyOnFilter.comp h g
#align tendsto_uniformly_on.comp TendstoUniformlyOn.comp
theorem TendstoUniformly.comp (h : TendstoUniformly F f p) (g : γ → α) :
TendstoUniformly (fun n => F n ∘ g) (f ∘ g) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter] at h ⊢
simpa [principal_univ, comap_principal] using h.comp g
#align tendsto_uniformly.comp TendstoUniformly.comp
theorem UniformContinuous.comp_tendstoUniformlyOnFilter [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOnFilter F f p p') :
TendstoUniformlyOnFilter (fun i => g ∘ F i) (g ∘ f) p p' := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly_on_filter UniformContinuous.comp_tendstoUniformlyOnFilter
theorem UniformContinuous.comp_tendstoUniformlyOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformlyOn F f p s) :
TendstoUniformlyOn (fun i => g ∘ F i) (g ∘ f) p s := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly_on UniformContinuous.comp_tendstoUniformlyOn
theorem UniformContinuous.comp_tendstoUniformly [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (h : TendstoUniformly F f p) :
TendstoUniformly (fun i => g ∘ F i) (g ∘ f) p := fun _u hu => h _ (hg hu)
#align uniform_continuous.comp_tendsto_uniformly UniformContinuous.comp_tendstoUniformly
theorem TendstoUniformlyOnFilter.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {q : Filter ι'} {q' : Filter α'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q q') :
TendstoUniformlyOnFilter (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f')
(p ×ˢ q) (p' ×ˢ q') := by
rw [tendstoUniformlyOnFilter_iff_tendsto] at h h' ⊢
rw [uniformity_prod_eq_comap_prod, tendsto_comap_iff, ← map_swap4_prod, tendsto_map'_iff]
convert h.prod_map h' -- seems to be faster than `exact` here
#align tendsto_uniformly_on_filter.prod_map TendstoUniformlyOnFilter.prod_map
theorem TendstoUniformlyOn.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} {s' : Set α'} (h : TendstoUniformlyOn F f p s)
(h' : TendstoUniformlyOn F' f' p' s') :
TendstoUniformlyOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p')
(s ×ˢ s') := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h h' ⊢
simpa only [prod_principal_principal] using h.prod_map h'
#align tendsto_uniformly_on.prod_map TendstoUniformlyOn.prod_map
theorem TendstoUniformly.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{f' : α' → β'} {p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (Prod.map f f') (p ×ˢ p') := by
rw [← tendstoUniformlyOn_univ, ← univ_prod_univ] at *
exact h.prod_map h'
#align tendsto_uniformly.prod_map TendstoUniformly.prod_map
theorem TendstoUniformlyOnFilter.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{f' : α → β'} {q : Filter ι'} (h : TendstoUniformlyOnFilter F f p p')
(h' : TendstoUniformlyOnFilter F' f' q p') :
TendstoUniformlyOnFilter (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ q) p' :=
fun u hu => ((h.prod_map h') u hu).diag_of_prod_right
#align tendsto_uniformly_on_filter.prod TendstoUniformlyOnFilter.prod
theorem TendstoUniformlyOn.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformlyOn F f p s) (h' : TendstoUniformlyOn F' f' p' s) :
TendstoUniformlyOn (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p.prod p') s :=
(congr_arg _ s.inter_self).mp ((h.prod_map h').comp fun a => (a, a))
#align tendsto_uniformly_on.prod TendstoUniformlyOn.prod
theorem TendstoUniformly.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'} {f' : α → β'}
{p' : Filter ι'} (h : TendstoUniformly F f p) (h' : TendstoUniformly F' f' p') :
TendstoUniformly (fun (i : ι × ι') a => (F i.1 a, F' i.2 a)) (fun a => (f a, f' a))
(p ×ˢ p') :=
(h.prod_map h').comp fun a => (a, a)
#align tendsto_uniformly.prod TendstoUniformly.prod
theorem tendsto_prod_filter_iff {c : β} :
Tendsto (↿F) (p ×ˢ p') (𝓝 c) ↔ TendstoUniformlyOnFilter F (fun _ => c) p p' := by
simp_rw [nhds_eq_comap_uniformity, tendsto_comap_iff]
rfl
#align tendsto_prod_filter_iff tendsto_prod_filter_iff
theorem tendsto_prod_principal_iff {c : β} :
Tendsto (↿F) (p ×ˢ 𝓟 s) (𝓝 c) ↔ TendstoUniformlyOn F (fun _ => c) p s := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
#align tendsto_prod_principal_iff tendsto_prod_principal_iff
theorem tendsto_prod_top_iff {c : β} :
Tendsto (↿F) (p ×ˢ ⊤) (𝓝 c) ↔ TendstoUniformly F (fun _ => c) p := by
rw [tendstoUniformly_iff_tendstoUniformlyOnFilter]
exact tendsto_prod_filter_iff
#align tendsto_prod_top_iff tendsto_prod_top_iff
theorem tendstoUniformlyOn_empty : TendstoUniformlyOn F f p ∅ := fun u _ => by simp
#align tendsto_uniformly_on_empty tendstoUniformlyOn_empty
theorem tendstoUniformlyOn_singleton_iff_tendsto :
TendstoUniformlyOn F f p {x} ↔ Tendsto (fun n : ι => F n x) p (𝓝 (f x)) := by
simp_rw [tendstoUniformlyOn_iff_tendsto, Uniform.tendsto_nhds_right, tendsto_def]
exact forall₂_congr fun u _ => by simp [mem_prod_principal, preimage]
#align tendsto_uniformly_on_singleton_iff_tendsto tendstoUniformlyOn_singleton_iff_tendsto
theorem Filter.Tendsto.tendstoUniformlyOnFilter_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(p' : Filter α) :
TendstoUniformlyOnFilter (fun n : ι => fun _ : α => g n) (fun _ : α => b) p p' := by
simpa only [nhds_eq_comap_uniformity, tendsto_comap_iff] using hg.comp (tendsto_fst (g := p'))
#align filter.tendsto.tendsto_uniformly_on_filter_const Filter.Tendsto.tendstoUniformlyOnFilter_const
theorem Filter.Tendsto.tendstoUniformlyOn_const {g : ι → β} {b : β} (hg : Tendsto g p (𝓝 b))
(s : Set α) : TendstoUniformlyOn (fun n : ι => fun _ : α => g n) (fun _ : α => b) p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr (hg.tendstoUniformlyOnFilter_const (𝓟 s))
#align filter.tendsto.tendsto_uniformly_on_const Filter.Tendsto.tendstoUniformlyOn_const
-- Porting note (#10756): new lemma
theorem UniformContinuousOn.tendstoUniformlyOn [UniformSpace α] [UniformSpace γ] {x : α} {U : Set α}
{V : Set β} {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ V)) (hU : x ∈ U) :
TendstoUniformlyOn F (F x) (𝓝[U] x) V := by
set φ := fun q : α × β => ((x, q.2), q)
rw [tendstoUniformlyOn_iff_tendsto]
change Tendsto (Prod.map (↿F) ↿F ∘ φ) (𝓝[U] x ×ˢ 𝓟 V) (𝓤 γ)
simp only [nhdsWithin, SProd.sprod, Filter.prod, comap_inf, inf_assoc, comap_principal,
inf_principal]
refine hF.comp (Tendsto.inf ?_ <| tendsto_principal_principal.2 fun x hx => ⟨⟨hU, hx.2⟩, hx⟩)
simp only [uniformity_prod_eq_comap_prod, tendsto_comap_iff, (· ∘ ·),
nhds_eq_comap_uniformity, comap_comap]
exact tendsto_comap.prod_mk (tendsto_diag_uniformity _ _)
theorem UniformContinuousOn.tendstoUniformly [UniformSpace α] [UniformSpace γ] {x : α} {U : Set α}
(hU : U ∈ 𝓝 x) {F : α → β → γ} (hF : UniformContinuousOn (↿F) (U ×ˢ (univ : Set β))) :
TendstoUniformly F (F x) (𝓝 x) := by
simpa only [tendstoUniformlyOn_univ, nhdsWithin_eq_nhds.2 hU]
using hF.tendstoUniformlyOn (mem_of_mem_nhds hU)
#align uniform_continuous_on.tendsto_uniformly UniformContinuousOn.tendstoUniformly
theorem UniformContinuous₂.tendstoUniformly [UniformSpace α] [UniformSpace γ] {f : α → β → γ}
(h : UniformContinuous₂ f) {x : α} : TendstoUniformly f (f x) (𝓝 x) :=
UniformContinuousOn.tendstoUniformly univ_mem <| by rwa [univ_prod_univ, uniformContinuousOn_univ]
#align uniform_continuous₂.tendsto_uniformly UniformContinuous₂.tendstoUniformly
def UniformCauchySeqOnFilter (F : ι → α → β) (p : Filter ι) (p' : Filter α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : (ι × ι) × α in (p ×ˢ p) ×ˢ p', (F m.fst.fst m.snd, F m.fst.snd m.snd) ∈ u
#align uniform_cauchy_seq_on_filter UniformCauchySeqOnFilter
def UniformCauchySeqOn (F : ι → α → β) (p : Filter ι) (s : Set α) : Prop :=
∀ u ∈ 𝓤 β, ∀ᶠ m : ι × ι in p ×ˢ p, ∀ x : α, x ∈ s → (F m.fst x, F m.snd x) ∈ u
#align uniform_cauchy_seq_on UniformCauchySeqOn
theorem uniformCauchySeqOn_iff_uniformCauchySeqOnFilter :
UniformCauchySeqOn F p s ↔ UniformCauchySeqOnFilter F p (𝓟 s) := by
simp only [UniformCauchySeqOn, UniformCauchySeqOnFilter]
refine forall₂_congr fun u hu => ?_
rw [eventually_prod_principal_iff]
#align uniform_cauchy_seq_on_iff_uniform_cauchy_seq_on_filter uniformCauchySeqOn_iff_uniformCauchySeqOnFilter
theorem UniformCauchySeqOn.uniformCauchySeqOnFilter (hF : UniformCauchySeqOn F p s) :
UniformCauchySeqOnFilter F p (𝓟 s) := by rwa [← uniformCauchySeqOn_iff_uniformCauchySeqOnFilter]
#align uniform_cauchy_seq_on.uniform_cauchy_seq_on_filter UniformCauchySeqOn.uniformCauchySeqOnFilter
theorem TendstoUniformlyOnFilter.uniformCauchySeqOnFilter (hF : TendstoUniformlyOnFilter F f p p') :
UniformCauchySeqOnFilter F p p' := by
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
have := tendsto_swap4_prod.eventually ((hF t ht).prod_mk (hF t ht))
apply this.diag_of_prod_right.mono
simp only [and_imp, Prod.forall]
intro n1 n2 x hl hr
exact Set.mem_of_mem_of_subset (prod_mk_mem_compRel (htsymm hl) hr) htmem
#align tendsto_uniformly_on_filter.uniform_cauchy_seq_on_filter TendstoUniformlyOnFilter.uniformCauchySeqOnFilter
theorem TendstoUniformlyOn.uniformCauchySeqOn (hF : TendstoUniformlyOn F f p s) :
UniformCauchySeqOn F p s :=
uniformCauchySeqOn_iff_uniformCauchySeqOnFilter.mpr
hF.tendstoUniformlyOnFilter.uniformCauchySeqOnFilter
#align tendsto_uniformly_on.uniform_cauchy_seq_on TendstoUniformlyOn.uniformCauchySeqOn
theorem UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto [NeBot p]
(hF : UniformCauchySeqOnFilter F p p')
(hF' : ∀ᶠ x : α in p', Tendsto (fun n => F n x) p (𝓝 (f x))) :
TendstoUniformlyOnFilter F f p p' := by
-- Proof idea: |f_n(x) - f(x)| ≤ |f_n(x) - f_m(x)| + |f_m(x) - f(x)|. We choose `n`
-- so that |f_n(x) - f_m(x)| is uniformly small across `s` whenever `m ≥ n`. Then for
-- a fixed `x`, we choose `m` sufficiently large such that |f_m(x) - f(x)| is small.
intro u hu
rcases comp_symm_of_uniformity hu with ⟨t, ht, htsymm, htmem⟩
-- We will choose n, x, and m simultaneously. n and x come from hF. m comes from hF'
-- But we need to promote hF' to the full product filter to use it
have hmc : ∀ᶠ x in (p ×ˢ p) ×ˢ p', Tendsto (fun n : ι => F n x.snd) p (𝓝 (f x.snd)) := by
rw [eventually_prod_iff]
exact ⟨fun _ => True, by simp, _, hF', by simp⟩
-- To apply filter operations we'll need to do some order manipulation
rw [Filter.eventually_swap_iff]
have := tendsto_prodAssoc.eventually (tendsto_prod_swap.eventually ((hF t ht).and hmc))
apply this.curry.mono
simp only [Equiv.prodAssoc_apply, eventually_and, eventually_const, Prod.snd_swap, Prod.fst_swap,
and_imp, Prod.forall]
-- Complete the proof
intro x n hx hm'
refine Set.mem_of_mem_of_subset (mem_compRel.mpr ?_) htmem
rw [Uniform.tendsto_nhds_right] at hm'
have := hx.and (hm' ht)
obtain ⟨m, hm⟩ := this.exists
exact ⟨F m x, ⟨hm.2, htsymm hm.1⟩⟩
#align uniform_cauchy_seq_on_filter.tendsto_uniformly_on_filter_of_tendsto UniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto
theorem UniformCauchySeqOn.tendstoUniformlyOn_of_tendsto [NeBot p] (hF : UniformCauchySeqOn F p s)
(hF' : ∀ x : α, x ∈ s → Tendsto (fun n => F n x) p (𝓝 (f x))) : TendstoUniformlyOn F f p s :=
tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr
(hF.uniformCauchySeqOnFilter.tendstoUniformlyOnFilter_of_tendsto hF')
#align uniform_cauchy_seq_on.tendsto_uniformly_on_of_tendsto UniformCauchySeqOn.tendstoUniformlyOn_of_tendsto
theorem UniformCauchySeqOnFilter.mono_left {p'' : Filter ι} (hf : UniformCauchySeqOnFilter F p p')
(hp : p'' ≤ p) : UniformCauchySeqOnFilter F p'' p' := by
intro u hu
have := (hf u hu).filter_mono (p'.prod_mono_left (Filter.prod_mono hp hp))
exact this.mono (by simp)
#align uniform_cauchy_seq_on_filter.mono_left UniformCauchySeqOnFilter.mono_left
theorem UniformCauchySeqOnFilter.mono_right {p'' : Filter α} (hf : UniformCauchySeqOnFilter F p p')
(hp : p'' ≤ p') : UniformCauchySeqOnFilter F p p'' := fun u hu =>
have := (hf u hu).filter_mono ((p ×ˢ p).prod_mono_right hp)
this.mono (by simp)
#align uniform_cauchy_seq_on_filter.mono_right UniformCauchySeqOnFilter.mono_right
theorem UniformCauchySeqOn.mono {s' : Set α} (hf : UniformCauchySeqOn F p s) (hss' : s' ⊆ s) :
UniformCauchySeqOn F p s' := by
rw [uniformCauchySeqOn_iff_uniformCauchySeqOnFilter] at hf ⊢
exact hf.mono_right (le_principal_iff.mpr <| mem_principal.mpr hss')
#align uniform_cauchy_seq_on.mono UniformCauchySeqOn.mono
theorem UniformCauchySeqOnFilter.comp {γ : Type*} (hf : UniformCauchySeqOnFilter F p p')
(g : γ → α) : UniformCauchySeqOnFilter (fun n => F n ∘ g) p (p'.comap g) := fun u hu => by
obtain ⟨pa, hpa, pb, hpb, hpapb⟩ := eventually_prod_iff.mp (hf u hu)
rw [eventually_prod_iff]
refine ⟨pa, hpa, pb ∘ g, ?_, fun hx _ hy => hpapb hx hy⟩
exact eventually_comap.mpr (hpb.mono fun x hx y hy => by simp only [hx, hy, Function.comp_apply])
#align uniform_cauchy_seq_on_filter.comp UniformCauchySeqOnFilter.comp
theorem UniformCauchySeqOn.comp {γ : Type*} (hf : UniformCauchySeqOn F p s) (g : γ → α) :
UniformCauchySeqOn (fun n => F n ∘ g) p (g ⁻¹' s) := by
rw [uniformCauchySeqOn_iff_uniformCauchySeqOnFilter] at hf ⊢
simpa only [UniformCauchySeqOn, comap_principal] using hf.comp g
#align uniform_cauchy_seq_on.comp UniformCauchySeqOn.comp
theorem UniformContinuous.comp_uniformCauchySeqOn [UniformSpace γ] {g : β → γ}
(hg : UniformContinuous g) (hf : UniformCauchySeqOn F p s) :
UniformCauchySeqOn (fun n => g ∘ F n) p s := fun _u hu => hf _ (hg hu)
#align uniform_continuous.comp_uniform_cauchy_seq_on UniformContinuous.comp_uniformCauchySeqOn
theorem UniformCauchySeqOn.prod_map {ι' α' β' : Type*} [UniformSpace β'] {F' : ι' → α' → β'}
{p' : Filter ι'} {s' : Set α'} (h : UniformCauchySeqOn F p s)
(h' : UniformCauchySeqOn F' p' s') :
UniformCauchySeqOn (fun i : ι × ι' => Prod.map (F i.1) (F' i.2)) (p ×ˢ p') (s ×ˢ s') := by
intro u hu
rw [uniformity_prod_eq_prod, mem_map, mem_prod_iff] at hu
obtain ⟨v, hv, w, hw, hvw⟩ := hu
simp_rw [mem_prod, Prod.map_apply, and_imp, Prod.forall]
rw [← Set.image_subset_iff] at hvw
apply (tendsto_swap4_prod.eventually ((h v hv).prod_mk (h' w hw))).mono
intro x hx a b ha hb
exact hvw ⟨_, mk_mem_prod (hx.1 a ha) (hx.2 b hb), rfl⟩
#align uniform_cauchy_seq_on.prod_map UniformCauchySeqOn.prod_map
theorem UniformCauchySeqOn.prod {ι' β' : Type*} [UniformSpace β'] {F' : ι' → α → β'}
{p' : Filter ι'} (h : UniformCauchySeqOn F p s) (h' : UniformCauchySeqOn F' p' s) :
UniformCauchySeqOn (fun (i : ι × ι') a => (F i.fst a, F' i.snd a)) (p ×ˢ p') s :=
(congr_arg _ s.inter_self).mp ((h.prod_map h').comp fun a => (a, a))
#align uniform_cauchy_seq_on.prod UniformCauchySeqOn.prod
theorem UniformCauchySeqOn.prod' {β' : Type*} [UniformSpace β'] {F' : ι → α → β'}
(h : UniformCauchySeqOn F p s) (h' : UniformCauchySeqOn F' p s) :
UniformCauchySeqOn (fun (i : ι) a => (F i a, F' i a)) p s := fun u hu =>
have hh : Tendsto (fun x : ι => (x, x)) p (p ×ˢ p) := tendsto_diag
(hh.prod_map hh).eventually ((h.prod h') u hu)
#align uniform_cauchy_seq_on.prod' UniformCauchySeqOn.prod'
theorem UniformCauchySeqOn.cauchy_map [hp : NeBot p] (hf : UniformCauchySeqOn F p s) (hx : x ∈ s) :
Cauchy (map (fun i => F i x) p) := by
simp only [cauchy_map_iff, hp, true_and_iff]
intro u hu
rw [mem_map]
filter_upwards [hf u hu] with p hp using hp x hx
#align uniform_cauchy_seq_on.cauchy_map UniformCauchySeqOn.cauchy_map
theorem UniformCauchySeqOn.cauchySeq [Nonempty ι] [SemilatticeSup ι]
(hf : UniformCauchySeqOn F atTop s) (hx : x ∈ s) :
CauchySeq fun i ↦ F i x :=
hf.cauchy_map (hp := atTop_neBot) hx
variable [TopologicalSpace α]
def TendstoLocallyUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) :=
∀ u ∈ 𝓤 β, ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∀ᶠ n in p, ∀ y ∈ t, (f y, F n y) ∈ u
#align tendsto_locally_uniformly_on TendstoLocallyUniformlyOn
def TendstoLocallyUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) :=
∀ u ∈ 𝓤 β, ∀ x : α, ∃ t ∈ 𝓝 x, ∀ᶠ n in p, ∀ y ∈ t, (f y, F n y) ∈ u
#align tendsto_locally_uniformly TendstoLocallyUniformly
theorem tendstoLocallyUniformlyOn_univ :
TendstoLocallyUniformlyOn F f p univ ↔ TendstoLocallyUniformly F f p := by
simp [TendstoLocallyUniformlyOn, TendstoLocallyUniformly, nhdsWithin_univ]
#align tendsto_locally_uniformly_on_univ tendstoLocallyUniformlyOn_univ
-- Porting note (#10756): new lemma
theorem tendstoLocallyUniformlyOn_iff_forall_tendsto :
TendstoLocallyUniformlyOn F f p s ↔
∀ x ∈ s, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝[s] x) (𝓤 β) :=
forall₂_swap.trans <| forall₄_congr fun _ _ _ _ => by
rw [mem_map, mem_prod_iff_right]; rfl
nonrec theorem IsOpen.tendstoLocallyUniformlyOn_iff_forall_tendsto (hs : IsOpen s) :
TendstoLocallyUniformlyOn F f p s ↔
∀ x ∈ s, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝 x) (𝓤 β) :=
tendstoLocallyUniformlyOn_iff_forall_tendsto.trans <| forall₂_congr fun x hx => by
rw [hs.nhdsWithin_eq hx]
theorem tendstoLocallyUniformly_iff_forall_tendsto :
TendstoLocallyUniformly F f p ↔
∀ x, Tendsto (fun y : ι × α => (f y.2, F y.1 y.2)) (p ×ˢ 𝓝 x) (𝓤 β) := by
simp [← tendstoLocallyUniformlyOn_univ, isOpen_univ.tendstoLocallyUniformlyOn_iff_forall_tendsto]
#align tendsto_locally_uniformly_iff_forall_tendsto tendstoLocallyUniformly_iff_forall_tendsto
theorem tendstoLocallyUniformlyOn_iff_tendstoLocallyUniformly_comp_coe :
TendstoLocallyUniformlyOn F f p s ↔
TendstoLocallyUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p := by
simp only [tendstoLocallyUniformly_iff_forall_tendsto, Subtype.forall', tendsto_map'_iff,
tendstoLocallyUniformlyOn_iff_forall_tendsto, ← map_nhds_subtype_val, prod_map_right]; rfl
#align tendsto_locally_uniformly_on_iff_tendsto_locally_uniformly_comp_coe tendstoLocallyUniformlyOn_iff_tendstoLocallyUniformly_comp_coe
protected theorem TendstoUniformlyOn.tendstoLocallyUniformlyOn (h : TendstoUniformlyOn F f p s) :
TendstoLocallyUniformlyOn F f p s := fun u hu x _ =>
⟨s, self_mem_nhdsWithin, by simpa using h u hu⟩
#align tendsto_uniformly_on.tendsto_locally_uniformly_on TendstoUniformlyOn.tendstoLocallyUniformlyOn
protected theorem TendstoUniformly.tendstoLocallyUniformly (h : TendstoUniformly F f p) :
TendstoLocallyUniformly F f p := fun u hu x => ⟨univ, univ_mem, by simpa using h u hu⟩
#align tendsto_uniformly.tendsto_locally_uniformly TendstoUniformly.tendstoLocallyUniformly
theorem TendstoLocallyUniformlyOn.mono (h : TendstoLocallyUniformlyOn F f p s) (h' : s' ⊆ s) :
TendstoLocallyUniformlyOn F f p s' := by
intro u hu x hx
rcases h u hu x (h' hx) with ⟨t, ht, H⟩
exact ⟨t, nhdsWithin_mono x h' ht, H.mono fun n => id⟩
#align tendsto_locally_uniformly_on.mono TendstoLocallyUniformlyOn.mono
-- Porting note: generalized from `Type` to `Sort`
theorem tendstoLocallyUniformlyOn_iUnion {ι' : Sort*} {S : ι' → Set α} (hS : ∀ i, IsOpen (S i))
(h : ∀ i, TendstoLocallyUniformlyOn F f p (S i)) :
TendstoLocallyUniformlyOn F f p (⋃ i, S i) :=
(isOpen_iUnion hS).tendstoLocallyUniformlyOn_iff_forall_tendsto.2 fun _x hx =>
let ⟨i, hi⟩ := mem_iUnion.1 hx
(hS i).tendstoLocallyUniformlyOn_iff_forall_tendsto.1 (h i) _ hi
#align tendsto_locally_uniformly_on_Union tendstoLocallyUniformlyOn_iUnion
theorem tendstoLocallyUniformlyOn_biUnion {s : Set γ} {S : γ → Set α} (hS : ∀ i ∈ s, IsOpen (S i))
(h : ∀ i ∈ s, TendstoLocallyUniformlyOn F f p (S i)) :
TendstoLocallyUniformlyOn F f p (⋃ i ∈ s, S i) :=
tendstoLocallyUniformlyOn_iUnion (fun i => isOpen_iUnion (hS i)) fun i =>
tendstoLocallyUniformlyOn_iUnion (hS i) (h i)
#align tendsto_locally_uniformly_on_bUnion tendstoLocallyUniformlyOn_biUnion
theorem tendstoLocallyUniformlyOn_sUnion (S : Set (Set α)) (hS : ∀ s ∈ S, IsOpen s)
(h : ∀ s ∈ S, TendstoLocallyUniformlyOn F f p s) : TendstoLocallyUniformlyOn F f p (⋃₀ S) := by
rw [sUnion_eq_biUnion]
exact tendstoLocallyUniformlyOn_biUnion hS h
#align tendsto_locally_uniformly_on_sUnion tendstoLocallyUniformlyOn_sUnion
theorem TendstoLocallyUniformlyOn.union {s₁ s₂ : Set α} (hs₁ : IsOpen s₁) (hs₂ : IsOpen s₂)
(h₁ : TendstoLocallyUniformlyOn F f p s₁) (h₂ : TendstoLocallyUniformlyOn F f p s₂) :
TendstoLocallyUniformlyOn F f p (s₁ ∪ s₂) := by
rw [← sUnion_pair]
refine tendstoLocallyUniformlyOn_sUnion _ ?_ ?_ <;> simp [*]
#align tendsto_locally_uniformly_on.union TendstoLocallyUniformlyOn.union
-- Porting note: tendstoLocallyUniformlyOn_univ moved up
protected theorem TendstoLocallyUniformly.tendstoLocallyUniformlyOn
(h : TendstoLocallyUniformly F f p) : TendstoLocallyUniformlyOn F f p s :=
(tendstoLocallyUniformlyOn_univ.mpr h).mono (subset_univ _)
#align tendsto_locally_uniformly.tendsto_locally_uniformly_on TendstoLocallyUniformly.tendstoLocallyUniformlyOn
theorem tendstoLocallyUniformly_iff_tendstoUniformly_of_compactSpace [CompactSpace α] :
TendstoLocallyUniformly F f p ↔ TendstoUniformly F f p := by
refine ⟨fun h V hV => ?_, TendstoUniformly.tendstoLocallyUniformly⟩
choose U hU using h V hV
obtain ⟨t, ht⟩ := isCompact_univ.elim_nhds_subcover' (fun k _ => U k) fun k _ => (hU k).1
replace hU := fun x : t => (hU x).2
rw [← eventually_all] at hU
refine hU.mono fun i hi x => ?_
specialize ht (mem_univ x)
simp only [exists_prop, mem_iUnion, SetCoe.exists, exists_and_right, Subtype.coe_mk] at ht
obtain ⟨y, ⟨hy₁, hy₂⟩, hy₃⟩ := ht
exact hi ⟨⟨y, hy₁⟩, hy₂⟩ x hy₃
#align tendsto_locally_uniformly_iff_tendsto_uniformly_of_compact_space tendstoLocallyUniformly_iff_tendstoUniformly_of_compactSpace
theorem tendstoLocallyUniformlyOn_iff_tendstoUniformlyOn_of_compact (hs : IsCompact s) :
TendstoLocallyUniformlyOn F f p s ↔ TendstoUniformlyOn F f p s := by
haveI : CompactSpace s := isCompact_iff_compactSpace.mp hs
refine ⟨fun h => ?_, TendstoUniformlyOn.tendstoLocallyUniformlyOn⟩
rwa [tendstoLocallyUniformlyOn_iff_tendstoLocallyUniformly_comp_coe,
tendstoLocallyUniformly_iff_tendstoUniformly_of_compactSpace, ←
tendstoUniformlyOn_iff_tendstoUniformly_comp_coe] at h
#align tendsto_locally_uniformly_on_iff_tendsto_uniformly_on_of_compact tendstoLocallyUniformlyOn_iff_tendstoUniformlyOn_of_compact
theorem TendstoLocallyUniformlyOn.comp [TopologicalSpace γ] {t : Set γ}
(h : TendstoLocallyUniformlyOn F f p s) (g : γ → α) (hg : MapsTo g t s)
(cg : ContinuousOn g t) : TendstoLocallyUniformlyOn (fun n => F n ∘ g) (f ∘ g) p t := by
intro u hu x hx
rcases h u hu (g x) (hg hx) with ⟨a, ha, H⟩
have : g ⁻¹' a ∈ 𝓝[t] x :=
(cg x hx).preimage_mem_nhdsWithin' (nhdsWithin_mono (g x) hg.image_subset ha)
exact ⟨g ⁻¹' a, this, H.mono fun n hn y hy => hn _ hy⟩
#align tendsto_locally_uniformly_on.comp TendstoLocallyUniformlyOn.comp
theorem TendstoLocallyUniformly.comp [TopologicalSpace γ] (h : TendstoLocallyUniformly F f p)
(g : γ → α) (cg : Continuous g) : TendstoLocallyUniformly (fun n => F n ∘ g) (f ∘ g) p := by
rw [← tendstoLocallyUniformlyOn_univ] at h ⊢
rw [continuous_iff_continuousOn_univ] at cg
exact h.comp _ (mapsTo_univ _ _) cg
#align tendsto_locally_uniformly.comp TendstoLocallyUniformly.comp
theorem tendstoLocallyUniformlyOn_TFAE [LocallyCompactSpace α] (G : ι → α → β) (g : α → β)
(p : Filter ι) (hs : IsOpen s) :
List.TFAE [
TendstoLocallyUniformlyOn G g p s,
∀ K, K ⊆ s → IsCompact K → TendstoUniformlyOn G g p K,
∀ x ∈ s, ∃ v ∈ 𝓝[s] x, TendstoUniformlyOn G g p v] := by
tfae_have 1 → 2
· rintro h K hK1 hK2
exact (tendstoLocallyUniformlyOn_iff_tendstoUniformlyOn_of_compact hK2).mp (h.mono hK1)
tfae_have 2 → 3
· rintro h x hx
obtain ⟨K, ⟨hK1, hK2⟩, hK3⟩ := (compact_basis_nhds x).mem_iff.mp (hs.mem_nhds hx)
exact ⟨K, nhdsWithin_le_nhds hK1, h K hK3 hK2⟩
tfae_have 3 → 1
· rintro h u hu x hx
obtain ⟨v, hv1, hv2⟩ := h x hx
exact ⟨v, hv1, hv2 u hu⟩
tfae_finish
#align tendsto_locally_uniformly_on_tfae tendstoLocallyUniformlyOn_TFAE
theorem tendstoLocallyUniformlyOn_iff_forall_isCompact [LocallyCompactSpace α] (hs : IsOpen s) :
TendstoLocallyUniformlyOn F f p s ↔ ∀ K, K ⊆ s → IsCompact K → TendstoUniformlyOn F f p K :=
(tendstoLocallyUniformlyOn_TFAE F f p hs).out 0 1
#align tendsto_locally_uniformly_on_iff_forall_is_compact tendstoLocallyUniformlyOn_iff_forall_isCompact
lemma tendstoLocallyUniformly_iff_forall_isCompact [LocallyCompactSpace α] :
TendstoLocallyUniformly F f p ↔ ∀ K : Set α, IsCompact K → TendstoUniformlyOn F f p K := by
simp only [← tendstoLocallyUniformlyOn_univ,
tendstoLocallyUniformlyOn_iff_forall_isCompact isOpen_univ, Set.subset_univ, forall_true_left]
theorem tendstoLocallyUniformlyOn_iff_filter :
TendstoLocallyUniformlyOn F f p s ↔ ∀ x ∈ s, TendstoUniformlyOnFilter F f p (𝓝[s] x) := by
simp only [TendstoUniformlyOnFilter, eventually_prod_iff]
constructor
· rintro h x hx u hu
obtain ⟨s, hs1, hs2⟩ := h u hu x hx
exact ⟨_, hs2, _, eventually_of_mem hs1 fun x => id, fun hi y hy => hi y hy⟩
· rintro h u hu x hx
obtain ⟨pa, hpa, pb, hpb, h⟩ := h x hx u hu
exact ⟨pb, hpb, eventually_of_mem hpa fun i hi y hy => h hi hy⟩
#align tendsto_locally_uniformly_on_iff_filter tendstoLocallyUniformlyOn_iff_filter
theorem tendstoLocallyUniformly_iff_filter :
TendstoLocallyUniformly F f p ↔ ∀ x, TendstoUniformlyOnFilter F f p (𝓝 x) := by
simpa [← tendstoLocallyUniformlyOn_univ, ← nhdsWithin_univ] using
@tendstoLocallyUniformlyOn_iff_filter _ _ _ _ F f univ p _
#align tendsto_locally_uniformly_iff_filter tendstoLocallyUniformly_iff_filter
theorem TendstoLocallyUniformlyOn.tendsto_at (hf : TendstoLocallyUniformlyOn F f p s) {a : α}
(ha : a ∈ s) : Tendsto (fun i => F i a) p (𝓝 (f a)) := by
refine ((tendstoLocallyUniformlyOn_iff_filter.mp hf) a ha).tendsto_at ?_
simpa only [Filter.principal_singleton] using pure_le_nhdsWithin ha
#align tendsto_locally_uniformly_on.tendsto_at TendstoLocallyUniformlyOn.tendsto_at
theorem TendstoLocallyUniformlyOn.unique [p.NeBot] [T2Space β] {g : α → β}
(hf : TendstoLocallyUniformlyOn F f p s) (hg : TendstoLocallyUniformlyOn F g p s) :
s.EqOn f g := fun _a ha => tendsto_nhds_unique (hf.tendsto_at ha) (hg.tendsto_at ha)
#align tendsto_locally_uniformly_on.unique TendstoLocallyUniformlyOn.unique
theorem TendstoLocallyUniformlyOn.congr {G : ι → α → β} (hf : TendstoLocallyUniformlyOn F f p s)
(hg : ∀ n, s.EqOn (F n) (G n)) : TendstoLocallyUniformlyOn G f p s := by
rintro u hu x hx
obtain ⟨t, ht, h⟩ := hf u hu x hx
refine ⟨s ∩ t, inter_mem self_mem_nhdsWithin ht, ?_⟩
filter_upwards [h] with i hi y hy using hg i hy.1 ▸ hi y hy.2
#align tendsto_locally_uniformly_on.congr TendstoLocallyUniformlyOn.congr
theorem TendstoLocallyUniformlyOn.congr_right {g : α → β} (hf : TendstoLocallyUniformlyOn F f p s)
(hg : s.EqOn f g) : TendstoLocallyUniformlyOn F g p s := by
rintro u hu x hx
obtain ⟨t, ht, h⟩ := hf u hu x hx
refine ⟨s ∩ t, inter_mem self_mem_nhdsWithin ht, ?_⟩
filter_upwards [h] with i hi y hy using hg hy.1 ▸ hi y hy.2
#align tendsto_locally_uniformly_on.congr_right TendstoLocallyUniformlyOn.congr_right
theorem continuousWithinAt_of_locally_uniform_approx_of_continuousWithinAt (hx : x ∈ s)
(L : ∀ u ∈ 𝓤 β, ∃ t ∈ 𝓝[s] x, ∃ F : α → β, ContinuousWithinAt F s x ∧ ∀ y ∈ t, (f y, F y) ∈ u) :
ContinuousWithinAt f s x := by
refine Uniform.continuousWithinAt_iff'_left.2 fun u₀ hu₀ => ?_
obtain ⟨u₁, h₁, u₁₀⟩ : ∃ u ∈ 𝓤 β, u ○ u ⊆ u₀ := comp_mem_uniformity_sets hu₀
obtain ⟨u₂, h₂, hsymm, u₂₁⟩ : ∃ u ∈ 𝓤 β, (∀ {a b}, (a, b) ∈ u → (b, a) ∈ u) ∧ u ○ u ⊆ u₁ :=
comp_symm_of_uniformity h₁
rcases L u₂ h₂ with ⟨t, tx, F, hFc, hF⟩
have A : ∀ᶠ y in 𝓝[s] x, (f y, F y) ∈ u₂ := Eventually.mono tx hF
have B : ∀ᶠ y in 𝓝[s] x, (F y, F x) ∈ u₂ := Uniform.continuousWithinAt_iff'_left.1 hFc h₂
have C : ∀ᶠ y in 𝓝[s] x, (f y, F x) ∈ u₁ :=
(A.and B).mono fun y hy => u₂₁ (prod_mk_mem_compRel hy.1 hy.2)
have : (F x, f x) ∈ u₁ :=
u₂₁ (prod_mk_mem_compRel (refl_mem_uniformity h₂) (hsymm (A.self_of_nhdsWithin hx)))
exact C.mono fun y hy => u₁₀ (prod_mk_mem_compRel hy this)
#align continuous_within_at_of_locally_uniform_approx_of_continuous_within_at continuousWithinAt_of_locally_uniform_approx_of_continuousWithinAt
theorem continuousAt_of_locally_uniform_approx_of_continuousAt
(L : ∀ u ∈ 𝓤 β, ∃ t ∈ 𝓝 x, ∃ F, ContinuousAt F x ∧ ∀ y ∈ t, (f y, F y) ∈ u) :
ContinuousAt f x := by
rw [← continuousWithinAt_univ]
apply continuousWithinAt_of_locally_uniform_approx_of_continuousWithinAt (mem_univ _) _
simpa only [exists_prop, nhdsWithin_univ, continuousWithinAt_univ] using L
#align continuous_at_of_locally_uniform_approx_of_continuous_at continuousAt_of_locally_uniform_approx_of_continuousAt
theorem continuousOn_of_locally_uniform_approx_of_continuousWithinAt
(L : ∀ x ∈ s, ∀ u ∈ 𝓤 β, ∃ t ∈ 𝓝[s] x, ∃ F,
ContinuousWithinAt F s x ∧ ∀ y ∈ t, (f y, F y) ∈ u) :
ContinuousOn f s := fun x hx =>
continuousWithinAt_of_locally_uniform_approx_of_continuousWithinAt hx (L x hx)
#align continuous_on_of_locally_uniform_approx_of_continuous_within_at continuousOn_of_locally_uniform_approx_of_continuousWithinAt
theorem continuousOn_of_uniform_approx_of_continuousOn
(L : ∀ u ∈ 𝓤 β, ∃ F, ContinuousOn F s ∧ ∀ y ∈ s, (f y, F y) ∈ u) : ContinuousOn f s :=
continuousOn_of_locally_uniform_approx_of_continuousWithinAt fun _x hx u hu =>
⟨s, self_mem_nhdsWithin, (L u hu).imp fun _F hF => ⟨hF.1.continuousWithinAt hx, hF.2⟩⟩
#align continuous_on_of_uniform_approx_of_continuous_on continuousOn_of_uniform_approx_of_continuousOn
theorem continuous_of_locally_uniform_approx_of_continuousAt
(L : ∀ x : α, ∀ u ∈ 𝓤 β, ∃ t ∈ 𝓝 x, ∃ F, ContinuousAt F x ∧ ∀ y ∈ t, (f y, F y) ∈ u) :
Continuous f :=
continuous_iff_continuousAt.2 fun x =>
continuousAt_of_locally_uniform_approx_of_continuousAt (L x)
#align continuous_of_locally_uniform_approx_of_continuous_at continuous_of_locally_uniform_approx_of_continuousAt
theorem continuous_of_uniform_approx_of_continuous
(L : ∀ u ∈ 𝓤 β, ∃ F, Continuous F ∧ ∀ y, (f y, F y) ∈ u) : Continuous f :=
continuous_iff_continuousOn_univ.mpr <|
continuousOn_of_uniform_approx_of_continuousOn <| by
simpa [continuous_iff_continuousOn_univ] using L
#align continuous_of_uniform_approx_of_continuous continuous_of_uniform_approx_of_continuous
protected theorem TendstoLocallyUniformlyOn.continuousOn (h : TendstoLocallyUniformlyOn F f p s)
(hc : ∀ᶠ n in p, ContinuousOn (F n) s) [NeBot p] : ContinuousOn f s := by
refine continuousOn_of_locally_uniform_approx_of_continuousWithinAt fun x hx u hu => ?_
rcases h u hu x hx with ⟨t, ht, H⟩
rcases (hc.and H).exists with ⟨n, hFc, hF⟩
exact ⟨t, ht, ⟨F n, hFc.continuousWithinAt hx, hF⟩⟩
#align tendsto_locally_uniformly_on.continuous_on TendstoLocallyUniformlyOn.continuousOn
protected theorem TendstoUniformlyOn.continuousOn (h : TendstoUniformlyOn F f p s)
(hc : ∀ᶠ n in p, ContinuousOn (F n) s) [NeBot p] : ContinuousOn f s :=
h.tendstoLocallyUniformlyOn.continuousOn hc
#align tendsto_uniformly_on.continuous_on TendstoUniformlyOn.continuousOn
protected theorem TendstoLocallyUniformly.continuous (h : TendstoLocallyUniformly F f p)
(hc : ∀ᶠ n in p, Continuous (F n)) [NeBot p] : Continuous f :=
continuous_iff_continuousOn_univ.mpr <|
h.tendstoLocallyUniformlyOn.continuousOn <| hc.mono fun _n hn => hn.continuousOn
#align tendsto_locally_uniformly.continuous TendstoLocallyUniformly.continuous
protected theorem TendstoUniformly.continuous (h : TendstoUniformly F f p)
(hc : ∀ᶠ n in p, Continuous (F n)) [NeBot p] : Continuous f :=
h.tendstoLocallyUniformly.continuous hc
#align tendsto_uniformly.continuous TendstoUniformly.continuous
| Mathlib/Topology/UniformSpace/UniformConvergence.lean | 933 | 942 | theorem tendsto_comp_of_locally_uniform_limit_within (h : ContinuousWithinAt f s x)
(hg : Tendsto g p (𝓝[s] x))
(hunif : ∀ u ∈ 𝓤 β, ∃ t ∈ 𝓝[s] x, ∀ᶠ n in p, ∀ y ∈ t, (f y, F n y) ∈ u) :
Tendsto (fun n => F n (g n)) p (𝓝 (f x)) := by |
refine Uniform.tendsto_nhds_right.2 fun u₀ hu₀ => ?_
obtain ⟨u₁, h₁, u₁₀⟩ : ∃ u ∈ 𝓤 β, u ○ u ⊆ u₀ := comp_mem_uniformity_sets hu₀
rcases hunif u₁ h₁ with ⟨s, sx, hs⟩
have A : ∀ᶠ n in p, g n ∈ s := hg sx
have B : ∀ᶠ n in p, (f x, f (g n)) ∈ u₁ := hg (Uniform.continuousWithinAt_iff'_right.1 h h₁)
exact B.mp <| A.mp <| hs.mono fun y H1 H2 H3 => u₁₀ (prod_mk_mem_compRel H3 (H1 _ H2))
|
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
variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E]
{p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E}
theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ)
(hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ :=
calc
(∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤
(∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by
gcongr with a
simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le]
_ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1
#align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le
theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q)
(hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) :=
calc
(∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤
(∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by
gcongr with a
simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le]
_ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) :=
ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1
#align measure_theory.snorm'_add_le_of_le_one MeasureTheory.snorm'_add_le_of_le_one
theorem snormEssSup_add_le {f g : α → E} :
snormEssSup (f + g) μ ≤ snormEssSup f μ + snormEssSup g μ := by
refine le_trans (essSup_mono_ae (eventually_of_forall fun x => ?_)) (ENNReal.essSup_add_le _ _)
simp_rw [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe]
exact nnnorm_add_le _ _
#align measure_theory.snorm_ess_sup_add_le MeasureTheory.snormEssSup_add_le
| Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean | 54 | 63 | theorem snorm_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ)
(hp1 : 1 ≤ p) : snorm (f + g) p μ ≤ snorm f p μ + snorm g p μ := by |
by_cases hp0 : p = 0
· simp [hp0]
by_cases hp_top : p = ∞
· simp [hp_top, snormEssSup_add_le]
have hp1_real : 1 ≤ p.toReal := by
rwa [← ENNReal.one_toReal, ENNReal.toReal_le_toReal ENNReal.one_ne_top hp_top]
repeat rw [snorm_eq_snorm' hp0 hp_top]
exact snorm'_add_le hf hg hp1_real
|
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.List.Perm
import Mathlib.Data.List.Range
#align_import data.list.sublists from "leanprover-community/mathlib"@"ccad6d5093bd2f5c6ca621fc74674cce51355af6"
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
open Nat
namespace List
@[simp]
theorem sublists'_nil : sublists' (@nil α) = [[]] :=
rfl
#align list.sublists'_nil List.sublists'_nil
@[simp]
theorem sublists'_singleton (a : α) : sublists' [a] = [[], [a]] :=
rfl
#align list.sublists'_singleton List.sublists'_singleton
#noalign list.map_sublists'_aux
#noalign list.sublists'_aux_append
#noalign list.sublists'_aux_eq_sublists'
-- Porting note: Not the same as `sublists'_aux` from Lean3
def sublists'Aux (a : α) (r₁ r₂ : List (List α)) : List (List α) :=
r₁.foldl (init := r₂) fun r l => r ++ [a :: l]
#align list.sublists'_aux List.sublists'Aux
theorem sublists'Aux_eq_array_foldl (a : α) : ∀ (r₁ r₂ : List (List α)),
sublists'Aux a r₁ r₂ = ((r₁.toArray).foldl (init := r₂.toArray)
(fun r l => r.push (a :: l))).toList := by
intro r₁ r₂
rw [sublists'Aux, Array.foldl_eq_foldl_data]
have := List.foldl_hom Array.toList (fun r l => r.push (a :: l))
(fun r l => r ++ [a :: l]) r₁ r₂.toArray (by simp)
simpa using this
theorem sublists'_eq_sublists'Aux (l : List α) :
sublists' l = l.foldr (fun a r => sublists'Aux a r r) [[]] := by
simp only [sublists', sublists'Aux_eq_array_foldl]
rw [← List.foldr_hom Array.toList]
· rfl
· intros _ _; congr <;> simp
theorem sublists'Aux_eq_map (a : α) (r₁ : List (List α)) : ∀ (r₂ : List (List α)),
sublists'Aux a r₁ r₂ = r₂ ++ map (cons a) r₁ :=
List.reverseRecOn r₁ (fun _ => by simp [sublists'Aux]) fun r₁ l ih r₂ => by
rw [map_append, map_singleton, ← append_assoc, ← ih, sublists'Aux, foldl_append, foldl]
simp [sublists'Aux]
-- Porting note: simp can prove `sublists'_singleton`
@[simp 900]
theorem sublists'_cons (a : α) (l : List α) :
sublists' (a :: l) = sublists' l ++ map (cons a) (sublists' l) := by
simp [sublists'_eq_sublists'Aux, foldr_cons, sublists'Aux_eq_map]
#align list.sublists'_cons List.sublists'_cons
@[simp]
theorem mem_sublists' {s t : List α} : s ∈ sublists' t ↔ s <+ t := by
induction' t with a t IH generalizing s
· simp only [sublists'_nil, mem_singleton]
exact ⟨fun h => by rw [h], eq_nil_of_sublist_nil⟩
simp only [sublists'_cons, mem_append, IH, mem_map]
constructor <;> intro h
· rcases h with (h | ⟨s, h, rfl⟩)
· exact sublist_cons_of_sublist _ h
· exact h.cons_cons _
· cases' h with _ _ _ h s _ _ h
· exact Or.inl h
· exact Or.inr ⟨s, h, rfl⟩
#align list.mem_sublists' List.mem_sublists'
@[simp]
theorem length_sublists' : ∀ l : List α, length (sublists' l) = 2 ^ length l
| [] => rfl
| a :: l => by
simp_arith only [sublists'_cons, length_append, length_sublists' l,
length_map, length, Nat.pow_succ']
#align list.length_sublists' List.length_sublists'
@[simp]
theorem sublists_nil : sublists (@nil α) = [[]] :=
rfl
#align list.sublists_nil List.sublists_nil
@[simp]
theorem sublists_singleton (a : α) : sublists [a] = [[], [a]] :=
rfl
#align list.sublists_singleton List.sublists_singleton
-- Porting note: Not the same as `sublists_aux` from Lean3
def sublistsAux (a : α) (r : List (List α)) : List (List α) :=
r.foldl (init := []) fun r l => r ++ [l, a :: l]
#align list.sublists_aux List.sublistsAux
theorem sublistsAux_eq_array_foldl :
sublistsAux = fun (a : α) (r : List (List α)) =>
(r.toArray.foldl (init := #[])
fun r l => (r.push l).push (a :: l)).toList := by
funext a r
simp only [sublistsAux, Array.foldl_eq_foldl_data, Array.mkEmpty]
have := foldl_hom Array.toList (fun r l => (r.push l).push (a :: l))
(fun (r : List (List α)) l => r ++ [l, a :: l]) r #[]
(by simp)
simpa using this
theorem sublistsAux_eq_bind :
sublistsAux = fun (a : α) (r : List (List α)) => r.bind fun l => [l, a :: l] :=
funext fun a => funext fun r =>
List.reverseRecOn r
(by simp [sublistsAux])
(fun r l ih => by
rw [append_bind, ← ih, bind_singleton, sublistsAux, foldl_append]
simp [sublistsAux])
@[csimp] theorem sublists_eq_sublistsFast : @sublists = @sublistsFast := by
ext α l : 2
trans l.foldr sublistsAux [[]]
· rw [sublistsAux_eq_bind, sublists]
· simp only [sublistsFast, sublistsAux_eq_array_foldl, Array.foldr_eq_foldr_data]
rw [← foldr_hom Array.toList]
· rfl
· intros _ _; congr <;> simp
#noalign list.sublists_aux₁_eq_sublists_aux
#noalign list.sublists_aux_cons_eq_sublists_aux₁
#noalign list.sublists_aux_eq_foldr.aux
#noalign list.sublists_aux_eq_foldr
#noalign list.sublists_aux_cons_cons
#noalign list.sublists_aux₁_append
#noalign list.sublists_aux₁_concat
#noalign list.sublists_aux₁_bind
#noalign list.sublists_aux_cons_append
theorem sublists_append (l₁ l₂ : List α) :
sublists (l₁ ++ l₂) = (sublists l₂) >>= (fun x => (sublists l₁).map (· ++ x)) := by
simp only [sublists, foldr_append]
induction l₁ with
| nil => simp
| cons a l₁ ih =>
rw [foldr_cons, ih]
simp [List.bind, join_join, Function.comp]
#align list.sublists_append List.sublists_append
-- Porting note (#10756): new theorem
theorem sublists_cons (a : α) (l : List α) :
sublists (a :: l) = sublists l >>= (fun x => [x, a :: x]) :=
show sublists ([a] ++ l) = _ by
rw [sublists_append]
simp only [sublists_singleton, map_cons, bind_eq_bind, nil_append, cons_append, map_nil]
@[simp]
theorem sublists_concat (l : List α) (a : α) :
sublists (l ++ [a]) = sublists l ++ map (fun x => x ++ [a]) (sublists l) := by
rw [sublists_append, sublists_singleton, bind_eq_bind, cons_bind, cons_bind, nil_bind,
map_id'' append_nil, append_nil]
#align list.sublists_concat List.sublists_concat
theorem sublists_reverse (l : List α) : sublists (reverse l) = map reverse (sublists' l) := by
induction' l with hd tl ih <;> [rfl;
simp only [reverse_cons, sublists_append, sublists'_cons, map_append, ih, sublists_singleton,
map_eq_map, bind_eq_bind, map_map, cons_bind, append_nil, nil_bind, (· ∘ ·)]]
#align list.sublists_reverse List.sublists_reverse
theorem sublists_eq_sublists' (l : List α) : sublists l = map reverse (sublists' (reverse l)) := by
rw [← sublists_reverse, reverse_reverse]
#align list.sublists_eq_sublists' List.sublists_eq_sublists'
theorem sublists'_reverse (l : List α) : sublists' (reverse l) = map reverse (sublists l) := by
simp only [sublists_eq_sublists', map_map, map_id'' reverse_reverse, Function.comp]
#align list.sublists'_reverse List.sublists'_reverse
theorem sublists'_eq_sublists (l : List α) : sublists' l = map reverse (sublists (reverse l)) := by
rw [← sublists'_reverse, reverse_reverse]
#align list.sublists'_eq_sublists List.sublists'_eq_sublists
#noalign list.sublists_aux_ne_nil
@[simp]
theorem mem_sublists {s t : List α} : s ∈ sublists t ↔ s <+ t := by
rw [← reverse_sublist, ← mem_sublists', sublists'_reverse,
mem_map_of_injective reverse_injective]
#align list.mem_sublists List.mem_sublists
@[simp]
theorem length_sublists (l : List α) : length (sublists l) = 2 ^ length l := by
simp only [sublists_eq_sublists', length_map, length_sublists', length_reverse]
#align list.length_sublists List.length_sublists
theorem map_pure_sublist_sublists (l : List α) : map pure l <+ sublists l := by
induction' l using reverseRecOn with l a ih <;> simp only [map, map_append, sublists_concat]
· simp only [sublists_nil, sublist_cons]
exact ((append_sublist_append_left _).2 <|
singleton_sublist.2 <| mem_map.2 ⟨[], mem_sublists.2 (nil_sublist _), by rfl⟩).trans
((append_sublist_append_right _).2 ih)
#align list.map_ret_sublist_sublists List.map_pure_sublist_sublists
set_option linter.deprecated false in
@[deprecated map_pure_sublist_sublists (since := "2024-03-24")]
theorem map_ret_sublist_sublists (l : List α) : map List.ret l <+ sublists l :=
map_pure_sublist_sublists l
def sublistsLenAux : ℕ → List α → (List α → β) → List β → List β
| 0, _, f, r => f [] :: r
| _ + 1, [], _, r => r
| n + 1, a :: l, f, r => sublistsLenAux (n + 1) l f (sublistsLenAux n l (f ∘ List.cons a) r)
#align list.sublists_len_aux List.sublistsLenAux
def sublistsLen (n : ℕ) (l : List α) : List (List α) :=
sublistsLenAux n l id []
#align list.sublists_len List.sublistsLen
theorem sublistsLenAux_append :
∀ (n : ℕ) (l : List α) (f : List α → β) (g : β → γ) (r : List β) (s : List γ),
sublistsLenAux n l (g ∘ f) (r.map g ++ s) = (sublistsLenAux n l f r).map g ++ s
| 0, l, f, g, r, s => by unfold sublistsLenAux; simp
| n + 1, [], f, g, r, s => rfl
| n + 1, a :: l, f, g, r, s => by
unfold sublistsLenAux
simp only [show (g ∘ f) ∘ List.cons a = g ∘ f ∘ List.cons a by rfl, sublistsLenAux_append,
sublistsLenAux_append]
#align list.sublists_len_aux_append List.sublistsLenAux_append
theorem sublistsLenAux_eq (l : List α) (n) (f : List α → β) (r) :
sublistsLenAux n l f r = (sublistsLen n l).map f ++ r := by
rw [sublistsLen, ← sublistsLenAux_append]; rfl
#align list.sublists_len_aux_eq List.sublistsLenAux_eq
theorem sublistsLenAux_zero (l : List α) (f : List α → β) (r) :
sublistsLenAux 0 l f r = f [] :: r := by cases l <;> rfl
#align list.sublists_len_aux_zero List.sublistsLenAux_zero
@[simp]
theorem sublistsLen_zero (l : List α) : sublistsLen 0 l = [[]] :=
sublistsLenAux_zero _ _ _
#align list.sublists_len_zero List.sublistsLen_zero
@[simp]
theorem sublistsLen_succ_nil (n) : sublistsLen (n + 1) (@nil α) = [] :=
rfl
#align list.sublists_len_succ_nil List.sublistsLen_succ_nil
@[simp]
theorem sublistsLen_succ_cons (n) (a : α) (l) :
sublistsLen (n + 1) (a :: l) = sublistsLen (n + 1) l ++ (sublistsLen n l).map (cons a) := by
rw [sublistsLen, sublistsLenAux, sublistsLenAux_eq, sublistsLenAux_eq, map_id,
append_nil]; rfl
#align list.sublists_len_succ_cons List.sublistsLen_succ_cons
theorem sublistsLen_one (l : List α) : sublistsLen 1 l = l.reverse.map ([·]) :=
l.rec (by rw [sublistsLen_succ_nil, reverse_nil, map_nil]) fun a s ih ↦ by
rw [sublistsLen_succ_cons, ih, reverse_cons, map_append, sublistsLen_zero]; rfl
@[simp]
theorem length_sublistsLen :
∀ (n) (l : List α), length (sublistsLen n l) = Nat.choose (length l) n
| 0, l => by simp
| _ + 1, [] => by simp
| n + 1, a :: l => by
rw [sublistsLen_succ_cons, length_append, length_sublistsLen (n+1) l,
length_map, length_sublistsLen n l, length_cons, Nat.choose_succ_succ, Nat.add_comm]
#align list.length_sublists_len List.length_sublistsLen
theorem sublistsLen_sublist_sublists' :
∀ (n) (l : List α), sublistsLen n l <+ sublists' l
| 0, l => by simp
| _ + 1, [] => nil_sublist _
| n + 1, a :: l => by
rw [sublistsLen_succ_cons, sublists'_cons]
exact (sublistsLen_sublist_sublists' _ _).append ((sublistsLen_sublist_sublists' _ _).map _)
#align list.sublists_len_sublist_sublists' List.sublistsLen_sublist_sublists'
theorem sublistsLen_sublist_of_sublist (n) {l₁ l₂ : List α} (h : l₁ <+ l₂) :
sublistsLen n l₁ <+ sublistsLen n l₂ := by
induction' n with n IHn generalizing l₁ l₂; · simp
induction' h with l₁ l₂ a _ IH l₁ l₂ a s IH; · rfl
· refine IH.trans ?_
rw [sublistsLen_succ_cons]
apply sublist_append_left
· simpa only [sublistsLen_succ_cons] using IH.append ((IHn s).map _)
#align list.sublists_len_sublist_of_sublist List.sublistsLen_sublist_of_sublist
theorem length_of_sublistsLen :
∀ {n} {l l' : List α}, l' ∈ sublistsLen n l → length l' = n
| 0, l, l', h => by simp_all
| n + 1, a :: l, l', h => by
rw [sublistsLen_succ_cons, mem_append, mem_map] at h
rcases h with (h | ⟨l', h, rfl⟩)
· exact length_of_sublistsLen h
· exact congr_arg (· + 1) (length_of_sublistsLen h)
#align list.length_of_sublists_len List.length_of_sublistsLen
theorem mem_sublistsLen_self {l l' : List α} (h : l' <+ l) :
l' ∈ sublistsLen (length l') l := by
induction' h with l₁ l₂ a s IH l₁ l₂ a s IH
· simp
· cases' l₁ with b l₁
· simp
· rw [length, sublistsLen_succ_cons]
exact mem_append_left _ IH
· rw [length, sublistsLen_succ_cons]
exact mem_append_right _ (mem_map.2 ⟨_, IH, rfl⟩)
#align list.mem_sublists_len_self List.mem_sublistsLen_self
@[simp]
theorem mem_sublistsLen {n} {l l' : List α} :
l' ∈ sublistsLen n l ↔ l' <+ l ∧ length l' = n :=
⟨fun h =>
⟨mem_sublists'.1 ((sublistsLen_sublist_sublists' _ _).subset h), length_of_sublistsLen h⟩,
fun ⟨h₁, h₂⟩ => h₂ ▸ mem_sublistsLen_self h₁⟩
#align list.mem_sublists_len List.mem_sublistsLen
theorem sublistsLen_of_length_lt {n} {l : List α} (h : l.length < n) : sublistsLen n l = [] :=
eq_nil_iff_forall_not_mem.mpr fun _ =>
mem_sublistsLen.not.mpr fun ⟨hs, hl⟩ => (h.trans_eq hl.symm).not_le (Sublist.length_le hs)
#align list.sublists_len_of_length_lt List.sublistsLen_of_length_lt
@[simp]
theorem sublistsLen_length : ∀ l : List α, sublistsLen l.length l = [l]
| [] => rfl
| a :: l => by
simp only [length, sublistsLen_succ_cons, sublistsLen_length, map,
sublistsLen_of_length_lt (lt_succ_self _), nil_append]
#align list.sublists_len_length List.sublistsLen_length
open Function
theorem Pairwise.sublists' {R} :
∀ {l : List α}, Pairwise R l → Pairwise (Lex (swap R)) (sublists' l)
| _, Pairwise.nil => pairwise_singleton _ _
| _, @Pairwise.cons _ _ a l H₁ H₂ => by
simp only [sublists'_cons, pairwise_append, pairwise_map, mem_sublists', mem_map, exists_imp,
and_imp]
refine ⟨H₂.sublists', H₂.sublists'.imp fun l₁ => Lex.cons l₁, ?_⟩
rintro l₁ sl₁ x l₂ _ rfl
cases' l₁ with b l₁; · constructor
exact Lex.rel (H₁ _ <| sl₁.subset <| mem_cons_self _ _)
#align list.pairwise.sublists' List.Pairwise.sublists'
theorem pairwise_sublists {R} {l : List α} (H : Pairwise R l) :
Pairwise (fun l₁ l₂ => Lex R (reverse l₁) (reverse l₂)) (sublists l) := by
have := (pairwise_reverse.2 H).sublists'
rwa [sublists'_reverse, pairwise_map] at this
#align list.pairwise_sublists List.pairwise_sublists
@[simp]
theorem nodup_sublists {l : List α} : Nodup (sublists l) ↔ Nodup l :=
⟨fun h => (h.sublist (map_pure_sublist_sublists _)).of_map _, fun h =>
(pairwise_sublists h).imp @fun l₁ l₂ h => by simpa using h.to_ne⟩
#align list.nodup_sublists List.nodup_sublists
@[simp]
theorem nodup_sublists' {l : List α} : Nodup (sublists' l) ↔ Nodup l := by
rw [sublists'_eq_sublists, nodup_map_iff reverse_injective, nodup_sublists, nodup_reverse]
#align list.nodup_sublists' List.nodup_sublists'
alias ⟨nodup.of_sublists, nodup.sublists⟩ := nodup_sublists
#align list.nodup.of_sublists List.nodup.of_sublists
#align list.nodup.sublists List.nodup.sublists
alias ⟨nodup.of_sublists', nodup.sublists'⟩ := nodup_sublists'
#align list.nodup.of_sublists' List.nodup.of_sublists'
#align list.nodup.sublists' List.nodup.sublists'
-- Porting note: commented out
--attribute [protected] nodup.sublists nodup.sublists'
theorem nodup_sublistsLen (n : ℕ) {l : List α} (h : Nodup l) : (sublistsLen n l).Nodup := by
have : Pairwise (· ≠ ·) l.sublists' := Pairwise.imp
(fun h => Lex.to_ne (by convert h using 3; simp [swap, eq_comm])) h.sublists'
exact this.sublist (sublistsLen_sublist_sublists' _ _)
#align list.nodup_sublists_len List.nodup_sublistsLen
-- Porting note (#10756): new theorem
theorem sublists_map (f : α → β) : ∀ (l : List α),
sublists (map f l) = map (map f) (sublists l)
| [] => by simp
| a::l => by
rw [map_cons, sublists_cons, bind_eq_bind, sublists_map f l, sublists_cons,
bind_eq_bind, map_eq_bind, map_eq_bind]
induction sublists l <;> simp [*]
-- Porting note (#10756): new theorem
theorem sublists'_map (f : α → β) : ∀ (l : List α),
sublists' (map f l) = map (map f) (sublists' l)
| [] => by simp
| a::l => by simp [map_cons, sublists'_cons, sublists'_map f l, Function.comp]
-- Porting note: moved because it is now used to prove `sublists_cons_perm_append`
theorem sublists_perm_sublists' (l : List α) : sublists l ~ sublists' l := by
rw [← finRange_map_get l, sublists_map, sublists'_map]
apply Perm.map
apply (perm_ext_iff_of_nodup _ _).mpr
· simp
· exact nodup_sublists.mpr (nodup_finRange _)
· exact (nodup_sublists'.mpr (nodup_finRange _))
#align list.sublists_perm_sublists' List.sublists_perm_sublists'
theorem sublists_cons_perm_append (a : α) (l : List α) :
sublists (a :: l) ~ sublists l ++ map (cons a) (sublists l) :=
Perm.trans (sublists_perm_sublists' _) <| by
rw [sublists'_cons];
exact Perm.append (sublists_perm_sublists' _).symm (Perm.map _ (sublists_perm_sublists' _).symm)
#align list.sublists_cons_perm_append List.sublists_cons_perm_append
theorem revzip_sublists (l : List α) : ∀ l₁ l₂, (l₁, l₂) ∈ revzip l.sublists → l₁ ++ l₂ ~ l := by
rw [revzip]
induction' l using List.reverseRecOn with l' a ih
· intro l₁ l₂ h
simp? at h says
simp only [sublists_nil, reverse_cons, reverse_nil, nil_append, zip_cons_cons, zip_nil_right,
mem_singleton, Prod.mk.injEq] at h
simp [h]
· intro l₁ l₂ h
rw [sublists_concat, reverse_append, zip_append (by simp), ← map_reverse, zip_map_right,
zip_map_left] at *
simp only [Prod.mk.inj_iff, mem_map, mem_append, Prod.map_mk, Prod.exists] at h
rcases h with (⟨l₁, l₂', h, rfl, rfl⟩ | ⟨l₁', l₂, h, rfl, rfl⟩)
· rw [← append_assoc]
exact (ih _ _ h).append_right _
· rw [append_assoc]
apply (perm_append_comm.append_left _).trans
rw [← append_assoc]
exact (ih _ _ h).append_right _
#align list.revzip_sublists List.revzip_sublists
theorem revzip_sublists' (l : List α) : ∀ l₁ l₂, (l₁, l₂) ∈ revzip l.sublists' → l₁ ++ l₂ ~ l := by
rw [revzip]
induction' l with a l IH <;> intro l₁ l₂ h
· simp_all only [sublists'_nil, reverse_cons, reverse_nil, nil_append, zip_cons_cons,
zip_nil_right, mem_singleton, Prod.mk.injEq, append_nil, Perm.refl]
· rw [sublists'_cons, reverse_append, zip_append, ← map_reverse, zip_map_right, zip_map_left] at *
<;> [simp only [mem_append, mem_map, Prod.map_apply, id_eq, Prod.mk.injEq, Prod.exists,
exists_eq_right_right] at h; simp]
rcases h with (⟨l₁, l₂', h, rfl, rfl⟩ | ⟨l₁', h, rfl⟩)
· exact perm_middle.trans ((IH _ _ h).cons _)
· exact (IH _ _ h).cons _
#align list.revzip_sublists' List.revzip_sublists'
| Mathlib/Data/List/Sublists.lean | 472 | 486 | theorem range_bind_sublistsLen_perm (l : List α) :
((List.range (l.length + 1)).bind fun n => sublistsLen n l) ~ sublists' l := by |
induction' l with h tl l_ih
· simp [range_succ]
· simp_rw [range_succ_eq_map, length, cons_bind, map_bind, sublistsLen_succ_cons, sublists'_cons,
List.sublistsLen_zero, List.singleton_append]
refine ((bind_append_perm (range (tl.length + 1)) _ _).symm.cons _).trans ?_
simp_rw [← List.bind_map, ← cons_append]
rw [← List.singleton_append, ← List.sublistsLen_zero tl]
refine Perm.append ?_ (l_ih.map _)
rw [List.range_succ, append_bind, bind_singleton,
sublistsLen_of_length_lt (Nat.lt_succ_self _), append_nil, ←
List.map_bind (fun n => sublistsLen n tl) Nat.succ, ←
cons_bind 0 _ fun n => sublistsLen n tl, ← range_succ_eq_map]
exact l_ih
|
import Mathlib.Algebra.Order.Group.Abs
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax
#align_import algebra.order.group.min_max from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1"
section
variable {α : Type*} [Group α] [LinearOrder α] [CovariantClass α α (· * ·) (· ≤ ·)]
-- TODO: This duplicates `oneLePart_div_leOnePart`
@[to_additive (attr := simp)]
theorem max_one_div_max_inv_one_eq_self (a : α) : max a 1 / max a⁻¹ 1 = a := by
rcases le_total a 1 with (h | h) <;> simp [h]
#align max_one_div_max_inv_one_eq_self max_one_div_max_inv_one_eq_self
#align max_zero_sub_max_neg_zero_eq_self max_zero_sub_max_neg_zero_eq_self
alias max_zero_sub_eq_self := max_zero_sub_max_neg_zero_eq_self
#align max_zero_sub_eq_self max_zero_sub_eq_self
@[to_additive]
lemma max_inv_one (a : α) : max a⁻¹ 1 = a⁻¹ * max a 1 := by
rw [eq_inv_mul_iff_mul_eq, ← eq_div_iff_mul_eq', max_one_div_max_inv_one_eq_self]
end
section LinearOrderedCommGroup
variable {α : Type*} [LinearOrderedCommGroup α] {a b c : α}
@[to_additive min_neg_neg]
theorem min_inv_inv' (a b : α) : min a⁻¹ b⁻¹ = (max a b)⁻¹ :=
Eq.symm <| (@Monotone.map_max α αᵒᵈ _ _ Inv.inv a b) fun _ _ =>
-- Porting note: Explicit `α` necessary to infer `CovariantClass` instance
(@inv_le_inv_iff α _ _ _).mpr
#align min_inv_inv' min_inv_inv'
#align min_neg_neg min_neg_neg
@[to_additive max_neg_neg]
theorem max_inv_inv' (a b : α) : max a⁻¹ b⁻¹ = (min a b)⁻¹ :=
Eq.symm <| (@Monotone.map_min α αᵒᵈ _ _ Inv.inv a b) fun _ _ =>
-- Porting note: Explicit `α` necessary to infer `CovariantClass` instance
(@inv_le_inv_iff α _ _ _).mpr
#align max_inv_inv' max_inv_inv'
#align max_neg_neg max_neg_neg
@[to_additive min_sub_sub_right]
theorem min_div_div_right' (a b c : α) : min (a / c) (b / c) = min a b / c := by
simpa only [div_eq_mul_inv] using min_mul_mul_right a b c⁻¹
#align min_div_div_right' min_div_div_right'
#align min_sub_sub_right min_sub_sub_right
@[to_additive max_sub_sub_right]
theorem max_div_div_right' (a b c : α) : max (a / c) (b / c) = max a b / c := by
simpa only [div_eq_mul_inv] using max_mul_mul_right a b c⁻¹
#align max_div_div_right' max_div_div_right'
#align max_sub_sub_right max_sub_sub_right
@[to_additive min_sub_sub_left]
theorem min_div_div_left' (a b c : α) : min (a / b) (a / c) = a / max b c := by
simp only [div_eq_mul_inv, min_mul_mul_left, min_inv_inv']
#align min_div_div_left' min_div_div_left'
#align min_sub_sub_left min_sub_sub_left
@[to_additive max_sub_sub_left]
| Mathlib/Algebra/Order/Group/MinMax.lean | 75 | 76 | theorem max_div_div_left' (a b c : α) : max (a / b) (a / c) = a / min b c := by |
simp only [div_eq_mul_inv, max_mul_mul_left, max_inv_inv']
|
import Mathlib.LinearAlgebra.CliffordAlgebra.Basic
import Mathlib.Data.ZMod.Basic
import Mathlib.RingTheory.GradedAlgebra.Basic
#align_import linear_algebra.clifford_algebra.grading from "leanprover-community/mathlib"@"34020e531ebc4e8aac6d449d9eecbcd1508ea8d0"
namespace CliffordAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable {Q : QuadraticForm R M}
open scoped DirectSum
variable (Q)
def evenOdd (i : ZMod 2) : Submodule R (CliffordAlgebra Q) :=
⨆ j : { n : ℕ // ↑n = i }, LinearMap.range (ι Q) ^ (j : ℕ)
#align clifford_algebra.even_odd CliffordAlgebra.evenOdd
| Mathlib/LinearAlgebra/CliffordAlgebra/Grading.lean | 35 | 37 | theorem one_le_evenOdd_zero : 1 ≤ evenOdd Q 0 := by |
refine le_trans ?_ (le_iSup _ ⟨0, Nat.cast_zero⟩)
exact (pow_zero _).ge
|
import Mathlib.Order.Filter.Bases
import Mathlib.Order.Filter.Ultrafilter
open Set
variable {α β : Type*} {l : Filter α}
namespace Filter
protected def Subsingleton (l : Filter α) : Prop := ∃ s ∈ l, Set.Subsingleton s
theorem HasBasis.subsingleton_iff {ι : Sort*} {p : ι → Prop} {s : ι → Set α} (h : l.HasBasis p s) :
l.Subsingleton ↔ ∃ i, p i ∧ (s i).Subsingleton :=
h.exists_iff fun _ _ hsub h ↦ h.anti hsub
theorem Subsingleton.anti {l'} (hl : l.Subsingleton) (hl' : l' ≤ l) : l'.Subsingleton :=
let ⟨s, hsl, hs⟩ := hl; ⟨s, hl' hsl, hs⟩
@[nontriviality]
theorem Subsingleton.of_subsingleton [Subsingleton α] : l.Subsingleton :=
⟨univ, univ_mem, subsingleton_univ⟩
theorem Subsingleton.map (hl : l.Subsingleton) (f : α → β) : (map f l).Subsingleton :=
let ⟨s, hsl, hs⟩ := hl; ⟨f '' s, image_mem_map hsl, hs.image f⟩
theorem Subsingleton.prod (hl : l.Subsingleton) {l' : Filter β} (hl' : l'.Subsingleton) :
(l ×ˢ l').Subsingleton :=
let ⟨s, hsl, hs⟩ := hl; let ⟨t, htl', ht⟩ := hl'; ⟨s ×ˢ t, prod_mem_prod hsl htl', hs.prod ht⟩
@[simp]
theorem subsingleton_pure {a : α} : Filter.Subsingleton (pure a) :=
⟨{a}, rfl, subsingleton_singleton⟩
@[simp]
theorem subsingleton_bot : Filter.Subsingleton (⊥ : Filter α) :=
⟨∅, trivial, subsingleton_empty⟩
theorem Subsingleton.exists_eq_pure [l.NeBot] (hl : l.Subsingleton) : ∃ a, l = pure a := by
rcases hl with ⟨s, hsl, hs⟩
rcases exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨nonempty_of_mem hsl, hs⟩ with ⟨a, rfl⟩
refine ⟨a, (NeBot.le_pure_iff ‹_›).1 ?_⟩
rwa [le_pure_iff]
theorem subsingleton_iff_bot_or_pure : l.Subsingleton ↔ l = ⊥ ∨ ∃ a, l = pure a := by
refine ⟨fun hl ↦ ?_, ?_⟩
· exact (eq_or_neBot l).imp_right (@Subsingleton.exists_eq_pure _ _ · hl)
· rintro (rfl | ⟨a, rfl⟩) <;> simp
theorem subsingleton_iff_exists_le_pure [Nonempty α] : l.Subsingleton ↔ ∃ a, l ≤ pure a := by
rcases eq_or_neBot l with rfl | hbot
· simp
· simp [subsingleton_iff_bot_or_pure, ← hbot.le_pure_iff, hbot.ne]
| Mathlib/Order/Filter/Subsingleton.lean | 70 | 71 | theorem subsingleton_iff_exists_singleton_mem [Nonempty α] : l.Subsingleton ↔ ∃ a, {a} ∈ l := by |
simp only [subsingleton_iff_exists_le_pure, le_pure_iff]
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.Measure.Count
import Mathlib.Topology.IndicatorConstPointwise
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
assert_not_exists NormedSpace
set_option autoImplicit true
noncomputable section
open Set hiding restrict restrict_apply
open Filter ENNReal
open Function (support)
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
variable {α β γ δ : Type*}
section Lintegral
open SimpleFunc
variable {m : MeasurableSpace α} {μ ν : Measure α}
irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ :=
⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ
#align measure_theory.lintegral MeasureTheory.lintegral
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral]
exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl)
(le_iSup₂_of_le f le_rfl le_rfl)
#align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral
@[mono]
theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄
(hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by
rw [lintegral, lintegral]
exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩
#align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono'
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) :
lintegral μ f ≤ lintegral ν g :=
lintegral_mono' h2 hfg
theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono' (le_refl μ) hfg
#align measure_theory.lintegral_mono MeasureTheory.lintegral_mono
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) :
lintegral μ f ≤ lintegral μ g :=
lintegral_mono hfg
theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a)
#align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal
theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) :
⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by
apply le_antisymm
· exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i
· rw [lintegral]
refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_
exact le_of_eq (i.lintegral_eq_lintegral _).symm
#align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral
theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set
theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set'
theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) :=
lintegral_mono
#align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral
@[simp]
theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by
rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const]
rfl
#align measure_theory.lintegral_const MeasureTheory.lintegral_const
theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp
#align measure_theory.lintegral_zero MeasureTheory.lintegral_zero
theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 :=
lintegral_zero
#align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun
-- @[simp] -- Porting note (#10618): simp can prove this
theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul]
#align measure_theory.lintegral_one MeasureTheory.lintegral_one
theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by
rw [lintegral_const, Measure.restrict_apply_univ]
#align measure_theory.set_lintegral_const MeasureTheory.set_lintegral_const
theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by rw [set_lintegral_const, one_mul]
#align measure_theory.set_lintegral_one MeasureTheory.set_lintegral_one
theorem set_lintegral_const_lt_top [IsFiniteMeasure μ] (s : Set α) {c : ℝ≥0∞} (hc : c ≠ ∞) :
∫⁻ _ in s, c ∂μ < ∞ := by
rw [lintegral_const]
exact ENNReal.mul_lt_top hc (measure_ne_top (μ.restrict s) univ)
#align measure_theory.set_lintegral_const_lt_top MeasureTheory.set_lintegral_const_lt_top
theorem lintegral_const_lt_top [IsFiniteMeasure μ] {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _, c ∂μ < ∞ := by
simpa only [Measure.restrict_univ] using set_lintegral_const_lt_top (univ : Set α) hc
#align measure_theory.lintegral_const_lt_top MeasureTheory.lintegral_const_lt_top
section
variable (μ)
theorem exists_measurable_le_lintegral_eq (f : α → ℝ≥0∞) :
∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
rcases eq_or_ne (∫⁻ a, f a ∂μ) 0 with h₀ | h₀
· exact ⟨0, measurable_zero, zero_le f, h₀.trans lintegral_zero.symm⟩
rcases exists_seq_strictMono_tendsto' h₀.bot_lt with ⟨L, _, hLf, hL_tendsto⟩
have : ∀ n, ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ L n < ∫⁻ a, g a ∂μ := by
intro n
simpa only [← iSup_lintegral_measurable_le_eq_lintegral f, lt_iSup_iff, exists_prop] using
(hLf n).2
choose g hgm hgf hLg using this
refine
⟨fun x => ⨆ n, g n x, measurable_iSup hgm, fun x => iSup_le fun n => hgf n x, le_antisymm ?_ ?_⟩
· refine le_of_tendsto' hL_tendsto fun n => (hLg n).le.trans <| lintegral_mono fun x => ?_
exact le_iSup (fun n => g n x) n
· exact lintegral_mono fun x => iSup_le fun n => hgf n x
#align measure_theory.exists_measurable_le_lintegral_eq MeasureTheory.exists_measurable_le_lintegral_eq
end
theorem lintegral_eq_nnreal {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ =
⨆ (φ : α →ₛ ℝ≥0) (_ : ∀ x, ↑(φ x) ≤ f x), (φ.map ((↑) : ℝ≥0 → ℝ≥0∞)).lintegral μ := by
rw [lintegral]
refine
le_antisymm (iSup₂_le fun φ hφ => ?_) (iSup_mono' fun φ => ⟨φ.map ((↑) : ℝ≥0 → ℝ≥0∞), le_rfl⟩)
by_cases h : ∀ᵐ a ∂μ, φ a ≠ ∞
· let ψ := φ.map ENNReal.toNNReal
replace h : ψ.map ((↑) : ℝ≥0 → ℝ≥0∞) =ᵐ[μ] φ := h.mono fun a => ENNReal.coe_toNNReal
have : ∀ x, ↑(ψ x) ≤ f x := fun x => le_trans ENNReal.coe_toNNReal_le_self (hφ x)
exact
le_iSup_of_le (φ.map ENNReal.toNNReal) (le_iSup_of_le this (ge_of_eq <| lintegral_congr h))
· have h_meas : μ (φ ⁻¹' {∞}) ≠ 0 := mt measure_zero_iff_ae_nmem.1 h
refine le_trans le_top (ge_of_eq <| (iSup_eq_top _).2 fun b hb => ?_)
obtain ⟨n, hn⟩ : ∃ n : ℕ, b < n * μ (φ ⁻¹' {∞}) := exists_nat_mul_gt h_meas (ne_of_lt hb)
use (const α (n : ℝ≥0)).restrict (φ ⁻¹' {∞})
simp only [lt_iSup_iff, exists_prop, coe_restrict, φ.measurableSet_preimage, coe_const,
ENNReal.coe_indicator, map_coe_ennreal_restrict, SimpleFunc.map_const, ENNReal.coe_natCast,
restrict_const_lintegral]
refine ⟨indicator_le fun x hx => le_trans ?_ (hφ _), hn⟩
simp only [mem_preimage, mem_singleton_iff] at hx
simp only [hx, le_top]
#align measure_theory.lintegral_eq_nnreal MeasureTheory.lintegral_eq_nnreal
theorem exists_simpleFunc_forall_lintegral_sub_lt_of_pos {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞)
{ε : ℝ≥0∞} (hε : ε ≠ 0) :
∃ φ : α →ₛ ℝ≥0,
(∀ x, ↑(φ x) ≤ f x) ∧
∀ ψ : α →ₛ ℝ≥0, (∀ x, ↑(ψ x) ≤ f x) → (map (↑) (ψ - φ)).lintegral μ < ε := by
rw [lintegral_eq_nnreal] at h
have := ENNReal.lt_add_right h hε
erw [ENNReal.biSup_add] at this <;> [skip; exact ⟨0, fun x => zero_le _⟩]
simp_rw [lt_iSup_iff, iSup_lt_iff, iSup_le_iff] at this
rcases this with ⟨φ, hle : ∀ x, ↑(φ x) ≤ f x, b, hbφ, hb⟩
refine ⟨φ, hle, fun ψ hψ => ?_⟩
have : (map (↑) φ).lintegral μ ≠ ∞ := ne_top_of_le_ne_top h (by exact le_iSup₂ (α := ℝ≥0∞) φ hle)
rw [← ENNReal.add_lt_add_iff_left this, ← add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine (hb _ fun x => le_trans ?_ (max_le (hle x) (hψ x))).trans_lt hbφ
norm_cast
simp only [add_apply, sub_apply, add_tsub_eq_max]
rfl
#align measure_theory.exists_simple_func_forall_lintegral_sub_lt_of_pos MeasureTheory.exists_simpleFunc_forall_lintegral_sub_lt_of_pos
theorem iSup_lintegral_le {ι : Sort*} (f : ι → α → ℝ≥0∞) :
⨆ i, ∫⁻ a, f i a ∂μ ≤ ∫⁻ a, ⨆ i, f i a ∂μ := by
simp only [← iSup_apply]
exact (monotone_lintegral μ).le_map_iSup
#align measure_theory.supr_lintegral_le MeasureTheory.iSup_lintegral_le
theorem iSup₂_lintegral_le {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
⨆ (i) (j), ∫⁻ a, f i j a ∂μ ≤ ∫⁻ a, ⨆ (i) (j), f i j a ∂μ := by
convert (monotone_lintegral μ).le_map_iSup₂ f with a
simp only [iSup_apply]
#align measure_theory.supr₂_lintegral_le MeasureTheory.iSup₂_lintegral_le
theorem le_iInf_lintegral {ι : Sort*} (f : ι → α → ℝ≥0∞) :
∫⁻ a, ⨅ i, f i a ∂μ ≤ ⨅ i, ∫⁻ a, f i a ∂μ := by
simp only [← iInf_apply]
exact (monotone_lintegral μ).map_iInf_le
#align measure_theory.le_infi_lintegral MeasureTheory.le_iInf_lintegral
theorem le_iInf₂_lintegral {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
∫⁻ a, ⨅ (i) (h : ι' i), f i h a ∂μ ≤ ⨅ (i) (h : ι' i), ∫⁻ a, f i h a ∂μ := by
convert (monotone_lintegral μ).map_iInf₂_le f with a
simp only [iInf_apply]
#align measure_theory.le_infi₂_lintegral MeasureTheory.le_iInf₂_lintegral
theorem lintegral_mono_ae {f g : α → ℝ≥0∞} (h : ∀ᵐ a ∂μ, f a ≤ g a) :
∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := by
rcases exists_measurable_superset_of_null h with ⟨t, hts, ht, ht0⟩
have : ∀ᵐ x ∂μ, x ∉ t := measure_zero_iff_ae_nmem.1 ht0
rw [lintegral, lintegral]
refine iSup_le fun s => iSup_le fun hfs => le_iSup_of_le (s.restrict tᶜ) <| le_iSup_of_le ?_ ?_
· intro a
by_cases h : a ∈ t <;>
simp only [restrict_apply s ht.compl, mem_compl_iff, h, not_true, not_false_eq_true,
indicator_of_not_mem, zero_le, not_false_eq_true, indicator_of_mem]
exact le_trans (hfs a) (_root_.by_contradiction fun hnfg => h (hts hnfg))
· refine le_of_eq (SimpleFunc.lintegral_congr <| this.mono fun a hnt => ?_)
by_cases hat : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, hat, not_true,
not_false_eq_true, indicator_of_not_mem, not_false_eq_true, indicator_of_mem]
exact (hnt hat).elim
#align measure_theory.lintegral_mono_ae MeasureTheory.lintegral_mono_ae
theorem set_lintegral_mono_ae {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
lintegral_mono_ae <| (ae_restrict_iff <| measurableSet_le hf hg).2 hfg
#align measure_theory.set_lintegral_mono_ae MeasureTheory.set_lintegral_mono_ae
theorem set_lintegral_mono {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g)
(hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
set_lintegral_mono_ae hf hg (ae_of_all _ hfg)
#align measure_theory.set_lintegral_mono MeasureTheory.set_lintegral_mono
theorem set_lintegral_mono_ae' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
lintegral_mono_ae <| (ae_restrict_iff' hs).2 hfg
theorem set_lintegral_mono' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s)
(hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
set_lintegral_mono_ae' hs (ae_of_all _ hfg)
theorem set_lintegral_le_lintegral (s : Set α) (f : α → ℝ≥0∞) :
∫⁻ x in s, f x ∂μ ≤ ∫⁻ x, f x ∂μ :=
lintegral_mono' Measure.restrict_le_self le_rfl
theorem lintegral_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ :=
le_antisymm (lintegral_mono_ae <| h.le) (lintegral_mono_ae <| h.symm.le)
#align measure_theory.lintegral_congr_ae MeasureTheory.lintegral_congr_ae
theorem lintegral_congr {f g : α → ℝ≥0∞} (h : ∀ a, f a = g a) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
simp only [h]
#align measure_theory.lintegral_congr MeasureTheory.lintegral_congr
theorem set_lintegral_congr {f : α → ℝ≥0∞} {s t : Set α} (h : s =ᵐ[μ] t) :
∫⁻ x in s, f x ∂μ = ∫⁻ x in t, f x ∂μ := by rw [Measure.restrict_congr_set h]
#align measure_theory.set_lintegral_congr MeasureTheory.set_lintegral_congr
theorem set_lintegral_congr_fun {f g : α → ℝ≥0∞} {s : Set α} (hs : MeasurableSet s)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫⁻ x in s, f x ∂μ = ∫⁻ x in s, g x ∂μ := by
rw [lintegral_congr_ae]
rw [EventuallyEq]
rwa [ae_restrict_iff' hs]
#align measure_theory.set_lintegral_congr_fun MeasureTheory.set_lintegral_congr_fun
theorem lintegral_ofReal_le_lintegral_nnnorm (f : α → ℝ) :
∫⁻ x, ENNReal.ofReal (f x) ∂μ ≤ ∫⁻ x, ‖f x‖₊ ∂μ := by
simp_rw [← ofReal_norm_eq_coe_nnnorm]
refine lintegral_mono fun x => ENNReal.ofReal_le_ofReal ?_
rw [Real.norm_eq_abs]
exact le_abs_self (f x)
#align measure_theory.lintegral_of_real_le_lintegral_nnnorm MeasureTheory.lintegral_ofReal_le_lintegral_nnnorm
theorem lintegral_nnnorm_eq_of_ae_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ᵐ[μ] f) :
∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ := by
apply lintegral_congr_ae
filter_upwards [h_nonneg] with x hx
rw [Real.nnnorm_of_nonneg hx, ENNReal.ofReal_eq_coe_nnreal hx]
#align measure_theory.lintegral_nnnorm_eq_of_ae_nonneg MeasureTheory.lintegral_nnnorm_eq_of_ae_nonneg
theorem lintegral_nnnorm_eq_of_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ f) :
∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ :=
lintegral_nnnorm_eq_of_ae_nonneg (Filter.eventually_of_forall h_nonneg)
#align measure_theory.lintegral_nnnorm_eq_of_nonneg MeasureTheory.lintegral_nnnorm_eq_of_nonneg
theorem lintegral_iSup {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n)) (h_mono : Monotone f) :
∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
set c : ℝ≥0 → ℝ≥0∞ := (↑)
set F := fun a : α => ⨆ n, f n a
refine le_antisymm ?_ (iSup_lintegral_le _)
rw [lintegral_eq_nnreal]
refine iSup_le fun s => iSup_le fun hsf => ?_
refine ENNReal.le_of_forall_lt_one_mul_le fun a ha => ?_
rcases ENNReal.lt_iff_exists_coe.1 ha with ⟨r, rfl, _⟩
have ha : r < 1 := ENNReal.coe_lt_coe.1 ha
let rs := s.map fun a => r * a
have eq_rs : rs.map c = (const α r : α →ₛ ℝ≥0∞) * map c s := rfl
have eq : ∀ p, rs.map c ⁻¹' {p} = ⋃ n, rs.map c ⁻¹' {p} ∩ { a | p ≤ f n a } := by
intro p
rw [← inter_iUnion]; nth_rw 1 [← inter_univ (map c rs ⁻¹' {p})]
refine Set.ext fun x => and_congr_right fun hx => true_iff_iff.2 ?_
by_cases p_eq : p = 0
· simp [p_eq]
simp only [coe_map, mem_preimage, Function.comp_apply, mem_singleton_iff] at hx
subst hx
have : r * s x ≠ 0 := by rwa [Ne, ← ENNReal.coe_eq_zero]
have : s x ≠ 0 := right_ne_zero_of_mul this
have : (rs.map c) x < ⨆ n : ℕ, f n x := by
refine lt_of_lt_of_le (ENNReal.coe_lt_coe.2 ?_) (hsf x)
suffices r * s x < 1 * s x by simpa
exact mul_lt_mul_of_pos_right ha (pos_iff_ne_zero.2 this)
rcases lt_iSup_iff.1 this with ⟨i, hi⟩
exact mem_iUnion.2 ⟨i, le_of_lt hi⟩
have mono : ∀ r : ℝ≥0∞, Monotone fun n => rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a } := by
intro r i j h
refine inter_subset_inter_right _ ?_
simp_rw [subset_def, mem_setOf]
intro x hx
exact le_trans hx (h_mono h x)
have h_meas : ∀ n, MeasurableSet {a : α | map c rs a ≤ f n a} := fun n =>
measurableSet_le (SimpleFunc.measurable _) (hf n)
calc
(r : ℝ≥0∞) * (s.map c).lintegral μ = ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r}) := by
rw [← const_mul_lintegral, eq_rs, SimpleFunc.lintegral]
_ = ∑ r ∈ (rs.map c).range, r * μ (⋃ n, rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by
simp only [(eq _).symm]
_ = ∑ r ∈ (rs.map c).range, ⨆ n, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) :=
(Finset.sum_congr rfl fun x _ => by
rw [measure_iUnion_eq_iSup (mono x).directed_le, ENNReal.mul_iSup])
_ = ⨆ n, ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by
refine ENNReal.finset_sum_iSup_nat fun p i j h ↦ ?_
gcongr _ * μ ?_
exact mono p h
_ ≤ ⨆ n : ℕ, ((rs.map c).restrict { a | (rs.map c) a ≤ f n a }).lintegral μ := by
gcongr with n
rw [restrict_lintegral _ (h_meas n)]
refine le_of_eq (Finset.sum_congr rfl fun r _ => ?_)
congr 2 with a
refine and_congr_right ?_
simp (config := { contextual := true })
_ ≤ ⨆ n, ∫⁻ a, f n a ∂μ := by
simp only [← SimpleFunc.lintegral_eq_lintegral]
gcongr with n a
simp only [map_apply] at h_meas
simp only [coe_map, restrict_apply _ (h_meas _), (· ∘ ·)]
exact indicator_apply_le id
#align measure_theory.lintegral_supr MeasureTheory.lintegral_iSup
theorem lintegral_iSup' {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, AEMeasurable (f n) μ)
(h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
simp_rw [← iSup_apply]
let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Monotone f'
have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_mono
have h_ae_seq_mono : Monotone (aeSeq hf p) := by
intro n m hnm x
by_cases hx : x ∈ aeSeqSet hf p
· exact aeSeq.prop_of_mem_aeSeqSet hf hx hnm
· simp only [aeSeq, hx, if_false, le_rfl]
rw [lintegral_congr_ae (aeSeq.iSup hf hp).symm]
simp_rw [iSup_apply]
rw [lintegral_iSup (aeSeq.measurable hf p) h_ae_seq_mono]
congr with n
exact lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae hf hp n)
#align measure_theory.lintegral_supr' MeasureTheory.lintegral_iSup'
theorem lintegral_tendsto_of_tendsto_of_monotone {f : ℕ → α → ℝ≥0∞} {F : α → ℝ≥0∞}
(hf : ∀ n, AEMeasurable (f n) μ) (h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x)
(h_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 <| F x)) :
Tendsto (fun n => ∫⁻ x, f n x ∂μ) atTop (𝓝 <| ∫⁻ x, F x ∂μ) := by
have : Monotone fun n => ∫⁻ x, f n x ∂μ := fun i j hij =>
lintegral_mono_ae (h_mono.mono fun x hx => hx hij)
suffices key : ∫⁻ x, F x ∂μ = ⨆ n, ∫⁻ x, f n x ∂μ by
rw [key]
exact tendsto_atTop_iSup this
rw [← lintegral_iSup' hf h_mono]
refine lintegral_congr_ae ?_
filter_upwards [h_mono, h_tendsto] with _ hx_mono hx_tendsto using
tendsto_nhds_unique hx_tendsto (tendsto_atTop_iSup hx_mono)
#align measure_theory.lintegral_tendsto_of_tendsto_of_monotone MeasureTheory.lintegral_tendsto_of_tendsto_of_monotone
theorem lintegral_eq_iSup_eapprox_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) :
∫⁻ a, f a ∂μ = ⨆ n, (eapprox f n).lintegral μ :=
calc
∫⁻ a, f a ∂μ = ∫⁻ a, ⨆ n, (eapprox f n : α → ℝ≥0∞) a ∂μ := by
congr; ext a; rw [iSup_eapprox_apply f hf]
_ = ⨆ n, ∫⁻ a, (eapprox f n : α → ℝ≥0∞) a ∂μ := by
apply lintegral_iSup
· measurability
· intro i j h
exact monotone_eapprox f h
_ = ⨆ n, (eapprox f n).lintegral μ := by
congr; ext n; rw [(eapprox f n).lintegral_eq_lintegral]
#align measure_theory.lintegral_eq_supr_eapprox_lintegral MeasureTheory.lintegral_eq_iSup_eapprox_lintegral
theorem exists_pos_set_lintegral_lt_of_measure_lt {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞}
(hε : ε ≠ 0) : ∃ δ > 0, ∀ s, μ s < δ → ∫⁻ x in s, f x ∂μ < ε := by
rcases exists_between (pos_iff_ne_zero.mpr hε) with ⟨ε₂, hε₂0, hε₂ε⟩
rcases exists_between hε₂0 with ⟨ε₁, hε₁0, hε₁₂⟩
rcases exists_simpleFunc_forall_lintegral_sub_lt_of_pos h hε₁0.ne' with ⟨φ, _, hφ⟩
rcases φ.exists_forall_le with ⟨C, hC⟩
use (ε₂ - ε₁) / C, ENNReal.div_pos_iff.2 ⟨(tsub_pos_iff_lt.2 hε₁₂).ne', ENNReal.coe_ne_top⟩
refine fun s hs => lt_of_le_of_lt ?_ hε₂ε
simp only [lintegral_eq_nnreal, iSup_le_iff]
intro ψ hψ
calc
(map (↑) ψ).lintegral (μ.restrict s) ≤
(map (↑) φ).lintegral (μ.restrict s) + (map (↑) (ψ - φ)).lintegral (μ.restrict s) := by
rw [← SimpleFunc.add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine SimpleFunc.lintegral_mono (fun x => ?_) le_rfl
simp only [add_tsub_eq_max, le_max_right, coe_map, Function.comp_apply, SimpleFunc.coe_add,
SimpleFunc.coe_sub, Pi.add_apply, Pi.sub_apply, ENNReal.coe_max (φ x) (ψ x)]
_ ≤ (map (↑) φ).lintegral (μ.restrict s) + ε₁ := by
gcongr
refine le_trans ?_ (hφ _ hψ).le
exact SimpleFunc.lintegral_mono le_rfl Measure.restrict_le_self
_ ≤ (SimpleFunc.const α (C : ℝ≥0∞)).lintegral (μ.restrict s) + ε₁ := by
gcongr
exact SimpleFunc.lintegral_mono (fun x ↦ ENNReal.coe_le_coe.2 (hC x)) le_rfl
_ = C * μ s + ε₁ := by
simp only [← SimpleFunc.lintegral_eq_lintegral, coe_const, lintegral_const,
Measure.restrict_apply, MeasurableSet.univ, univ_inter, Function.const]
_ ≤ C * ((ε₂ - ε₁) / C) + ε₁ := by gcongr
_ ≤ ε₂ - ε₁ + ε₁ := by gcongr; apply mul_div_le
_ = ε₂ := tsub_add_cancel_of_le hε₁₂.le
#align measure_theory.exists_pos_set_lintegral_lt_of_measure_lt MeasureTheory.exists_pos_set_lintegral_lt_of_measure_lt
theorem tendsto_set_lintegral_zero {ι} {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {l : Filter ι}
{s : ι → Set α} (hl : Tendsto (μ ∘ s) l (𝓝 0)) :
Tendsto (fun i => ∫⁻ x in s i, f x ∂μ) l (𝓝 0) := by
simp only [ENNReal.nhds_zero, tendsto_iInf, tendsto_principal, mem_Iio,
← pos_iff_ne_zero] at hl ⊢
intro ε ε0
rcases exists_pos_set_lintegral_lt_of_measure_lt h ε0.ne' with ⟨δ, δ0, hδ⟩
exact (hl δ δ0).mono fun i => hδ _
#align measure_theory.tendsto_set_lintegral_zero MeasureTheory.tendsto_set_lintegral_zero
theorem le_lintegral_add (f g : α → ℝ≥0∞) :
∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ ≤ ∫⁻ a, f a + g a ∂μ := by
simp only [lintegral]
refine ENNReal.biSup_add_biSup_le' (p := fun h : α →ₛ ℝ≥0∞ => h ≤ f)
(q := fun h : α →ₛ ℝ≥0∞ => h ≤ g) ⟨0, zero_le f⟩ ⟨0, zero_le g⟩ fun f' hf' g' hg' => ?_
exact le_iSup₂_of_le (f' + g') (add_le_add hf' hg') (add_lintegral _ _).ge
#align measure_theory.le_lintegral_add MeasureTheory.le_lintegral_add
-- Use stronger lemmas `lintegral_add_left`/`lintegral_add_right` instead
theorem lintegral_add_aux {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
calc
∫⁻ a, f a + g a ∂μ =
∫⁻ a, (⨆ n, (eapprox f n : α → ℝ≥0∞) a) + ⨆ n, (eapprox g n : α → ℝ≥0∞) a ∂μ := by
simp only [iSup_eapprox_apply, hf, hg]
_ = ∫⁻ a, ⨆ n, (eapprox f n + eapprox g n : α → ℝ≥0∞) a ∂μ := by
congr; funext a
rw [ENNReal.iSup_add_iSup_of_monotone]
· simp only [Pi.add_apply]
· intro i j h
exact monotone_eapprox _ h a
· intro i j h
exact monotone_eapprox _ h a
_ = ⨆ n, (eapprox f n).lintegral μ + (eapprox g n).lintegral μ := by
rw [lintegral_iSup]
· congr
funext n
rw [← SimpleFunc.add_lintegral, ← SimpleFunc.lintegral_eq_lintegral]
simp only [Pi.add_apply, SimpleFunc.coe_add]
· measurability
· intro i j h a
dsimp
gcongr <;> exact monotone_eapprox _ h _
_ = (⨆ n, (eapprox f n).lintegral μ) + ⨆ n, (eapprox g n).lintegral μ := by
refine (ENNReal.iSup_add_iSup_of_monotone ?_ ?_).symm <;>
· intro i j h
exact SimpleFunc.lintegral_mono (monotone_eapprox _ h) le_rfl
_ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
rw [lintegral_eq_iSup_eapprox_lintegral hf, lintegral_eq_iSup_eapprox_lintegral hg]
#align measure_theory.lintegral_add_aux MeasureTheory.lintegral_add_aux
@[simp]
theorem lintegral_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
refine le_antisymm ?_ (le_lintegral_add _ _)
rcases exists_measurable_le_lintegral_eq μ fun a => f a + g a with ⟨φ, hφm, hφ_le, hφ_eq⟩
calc
∫⁻ a, f a + g a ∂μ = ∫⁻ a, φ a ∂μ := hφ_eq
_ ≤ ∫⁻ a, f a + (φ a - f a) ∂μ := lintegral_mono fun a => le_add_tsub
_ = ∫⁻ a, f a ∂μ + ∫⁻ a, φ a - f a ∂μ := lintegral_add_aux hf (hφm.sub hf)
_ ≤ ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
add_le_add_left (lintegral_mono fun a => tsub_le_iff_left.2 <| hφ_le a) _
#align measure_theory.lintegral_add_left MeasureTheory.lintegral_add_left
theorem lintegral_add_left' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (g : α → ℝ≥0∞) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
rw [lintegral_congr_ae hf.ae_eq_mk, ← lintegral_add_left hf.measurable_mk,
lintegral_congr_ae (hf.ae_eq_mk.add (ae_eq_refl g))]
#align measure_theory.lintegral_add_left' MeasureTheory.lintegral_add_left'
theorem lintegral_add_right' (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : AEMeasurable g μ) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
simpa only [add_comm] using lintegral_add_left' hg f
#align measure_theory.lintegral_add_right' MeasureTheory.lintegral_add_right'
@[simp]
theorem lintegral_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
lintegral_add_right' f hg.aemeasurable
#align measure_theory.lintegral_add_right MeasureTheory.lintegral_add_right
@[simp]
theorem lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) : ∫⁻ a, f a ∂c • μ = c * ∫⁻ a, f a ∂μ := by
simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_smul, ENNReal.mul_iSup, smul_eq_mul]
#align measure_theory.lintegral_smul_measure MeasureTheory.lintegral_smul_measure
lemma set_lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ a in s, f a ∂(c • μ) = c * ∫⁻ a in s, f a ∂μ := by
rw [Measure.restrict_smul, lintegral_smul_measure]
@[simp]
theorem lintegral_sum_measure {m : MeasurableSpace α} {ι} (f : α → ℝ≥0∞) (μ : ι → Measure α) :
∫⁻ a, f a ∂Measure.sum μ = ∑' i, ∫⁻ a, f a ∂μ i := by
simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_sum, ENNReal.tsum_eq_iSup_sum]
rw [iSup_comm]
congr; funext s
induction' s using Finset.induction_on with i s hi hs
· simp
simp only [Finset.sum_insert hi, ← hs]
refine (ENNReal.iSup_add_iSup ?_).symm
intro φ ψ
exact
⟨⟨φ ⊔ ψ, fun x => sup_le (φ.2 x) (ψ.2 x)⟩,
add_le_add (SimpleFunc.lintegral_mono le_sup_left le_rfl)
(Finset.sum_le_sum fun j _ => SimpleFunc.lintegral_mono le_sup_right le_rfl)⟩
#align measure_theory.lintegral_sum_measure MeasureTheory.lintegral_sum_measure
theorem hasSum_lintegral_measure {ι} {_ : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : ι → Measure α) :
HasSum (fun i => ∫⁻ a, f a ∂μ i) (∫⁻ a, f a ∂Measure.sum μ) :=
(lintegral_sum_measure f μ).symm ▸ ENNReal.summable.hasSum
#align measure_theory.has_sum_lintegral_measure MeasureTheory.hasSum_lintegral_measure
@[simp]
theorem lintegral_add_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ ν : Measure α) :
∫⁻ a, f a ∂(μ + ν) = ∫⁻ a, f a ∂μ + ∫⁻ a, f a ∂ν := by
simpa [tsum_fintype] using lintegral_sum_measure f fun b => cond b μ ν
#align measure_theory.lintegral_add_measure MeasureTheory.lintegral_add_measure
@[simp]
theorem lintegral_finset_sum_measure {ι} {m : MeasurableSpace α} (s : Finset ι) (f : α → ℝ≥0∞)
(μ : ι → Measure α) : ∫⁻ a, f a ∂(∑ i ∈ s, μ i) = ∑ i ∈ s, ∫⁻ a, f a ∂μ i := by
rw [← Measure.sum_coe_finset, lintegral_sum_measure, ← Finset.tsum_subtype']
simp only [Finset.coe_sort_coe]
#align measure_theory.lintegral_finset_sum_measure MeasureTheory.lintegral_finset_sum_measure
@[simp]
theorem lintegral_zero_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) :
∫⁻ a, f a ∂(0 : Measure α) = 0 := by
simp [lintegral]
#align measure_theory.lintegral_zero_measure MeasureTheory.lintegral_zero_measure
@[simp]
theorem lintegral_of_isEmpty {α} [MeasurableSpace α] [IsEmpty α] (μ : Measure α) (f : α → ℝ≥0∞) :
∫⁻ x, f x ∂μ = 0 := by
have : Subsingleton (Measure α) := inferInstance
convert lintegral_zero_measure f
theorem set_lintegral_empty (f : α → ℝ≥0∞) : ∫⁻ x in ∅, f x ∂μ = 0 := by
rw [Measure.restrict_empty, lintegral_zero_measure]
#align measure_theory.set_lintegral_empty MeasureTheory.set_lintegral_empty
theorem set_lintegral_univ (f : α → ℝ≥0∞) : ∫⁻ x in univ, f x ∂μ = ∫⁻ x, f x ∂μ := by
rw [Measure.restrict_univ]
#align measure_theory.set_lintegral_univ MeasureTheory.set_lintegral_univ
theorem set_lintegral_measure_zero (s : Set α) (f : α → ℝ≥0∞) (hs' : μ s = 0) :
∫⁻ x in s, f x ∂μ = 0 := by
convert lintegral_zero_measure _
exact Measure.restrict_eq_zero.2 hs'
#align measure_theory.set_lintegral_measure_zero MeasureTheory.set_lintegral_measure_zero
theorem lintegral_finset_sum' (s : Finset β) {f : β → α → ℝ≥0∞}
(hf : ∀ b ∈ s, AEMeasurable (f b) μ) :
∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ := by
induction' s using Finset.induction_on with a s has ih
· simp
· simp only [Finset.sum_insert has]
rw [Finset.forall_mem_insert] at hf
rw [lintegral_add_left' hf.1, ih hf.2]
#align measure_theory.lintegral_finset_sum' MeasureTheory.lintegral_finset_sum'
theorem lintegral_finset_sum (s : Finset β) {f : β → α → ℝ≥0∞} (hf : ∀ b ∈ s, Measurable (f b)) :
∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ :=
lintegral_finset_sum' s fun b hb => (hf b hb).aemeasurable
#align measure_theory.lintegral_finset_sum MeasureTheory.lintegral_finset_sum
@[simp]
theorem lintegral_const_mul (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) :
∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ :=
calc
∫⁻ a, r * f a ∂μ = ∫⁻ a, ⨆ n, (const α r * eapprox f n) a ∂μ := by
congr
funext a
rw [← iSup_eapprox_apply f hf, ENNReal.mul_iSup]
simp
_ = ⨆ n, r * (eapprox f n).lintegral μ := by
rw [lintegral_iSup]
· congr
funext n
rw [← SimpleFunc.const_mul_lintegral, ← SimpleFunc.lintegral_eq_lintegral]
· intro n
exact SimpleFunc.measurable _
· intro i j h a
exact mul_le_mul_left' (monotone_eapprox _ h _) _
_ = r * ∫⁻ a, f a ∂μ := by rw [← ENNReal.mul_iSup, lintegral_eq_iSup_eapprox_lintegral hf]
#align measure_theory.lintegral_const_mul MeasureTheory.lintegral_const_mul
theorem lintegral_const_mul'' (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ := by
have A : ∫⁻ a, f a ∂μ = ∫⁻ a, hf.mk f a ∂μ := lintegral_congr_ae hf.ae_eq_mk
have B : ∫⁻ a, r * f a ∂μ = ∫⁻ a, r * hf.mk f a ∂μ :=
lintegral_congr_ae (EventuallyEq.fun_comp hf.ae_eq_mk _)
rw [A, B, lintegral_const_mul _ hf.measurable_mk]
#align measure_theory.lintegral_const_mul'' MeasureTheory.lintegral_const_mul''
theorem lintegral_const_mul_le (r : ℝ≥0∞) (f : α → ℝ≥0∞) :
r * ∫⁻ a, f a ∂μ ≤ ∫⁻ a, r * f a ∂μ := by
rw [lintegral, ENNReal.mul_iSup]
refine iSup_le fun s => ?_
rw [ENNReal.mul_iSup, iSup_le_iff]
intro hs
rw [← SimpleFunc.const_mul_lintegral, lintegral]
refine le_iSup_of_le (const α r * s) (le_iSup_of_le (fun x => ?_) le_rfl)
exact mul_le_mul_left' (hs x) _
#align measure_theory.lintegral_const_mul_le MeasureTheory.lintegral_const_mul_le
theorem lintegral_const_mul' (r : ℝ≥0∞) (f : α → ℝ≥0∞) (hr : r ≠ ∞) :
∫⁻ a, r * f a ∂μ = r * ∫⁻ a, f a ∂μ := by
by_cases h : r = 0
· simp [h]
apply le_antisymm _ (lintegral_const_mul_le r f)
have rinv : r * r⁻¹ = 1 := ENNReal.mul_inv_cancel h hr
have rinv' : r⁻¹ * r = 1 := by
rw [mul_comm]
exact rinv
have := lintegral_const_mul_le (μ := μ) r⁻¹ fun x => r * f x
simp? [(mul_assoc _ _ _).symm, rinv'] at this says
simp only [(mul_assoc _ _ _).symm, rinv', one_mul] at this
simpa [(mul_assoc _ _ _).symm, rinv] using mul_le_mul_left' this r
#align measure_theory.lintegral_const_mul' MeasureTheory.lintegral_const_mul'
theorem lintegral_mul_const (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : Measurable f) :
∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul r hf]
#align measure_theory.lintegral_mul_const MeasureTheory.lintegral_mul_const
theorem lintegral_mul_const'' (r : ℝ≥0∞) {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul'' r hf]
#align measure_theory.lintegral_mul_const'' MeasureTheory.lintegral_mul_const''
theorem lintegral_mul_const_le (r : ℝ≥0∞) (f : α → ℝ≥0∞) :
(∫⁻ a, f a ∂μ) * r ≤ ∫⁻ a, f a * r ∂μ := by
simp_rw [mul_comm, lintegral_const_mul_le r f]
#align measure_theory.lintegral_mul_const_le MeasureTheory.lintegral_mul_const_le
theorem lintegral_mul_const' (r : ℝ≥0∞) (f : α → ℝ≥0∞) (hr : r ≠ ∞) :
∫⁻ a, f a * r ∂μ = (∫⁻ a, f a ∂μ) * r := by simp_rw [mul_comm, lintegral_const_mul' r f hr]
#align measure_theory.lintegral_mul_const' MeasureTheory.lintegral_mul_const'
theorem lintegral_lintegral_mul {β} [MeasurableSpace β] {ν : Measure β} {f : α → ℝ≥0∞}
{g : β → ℝ≥0∞} (hf : AEMeasurable f μ) (hg : AEMeasurable g ν) :
∫⁻ x, ∫⁻ y, f x * g y ∂ν ∂μ = (∫⁻ x, f x ∂μ) * ∫⁻ y, g y ∂ν := by
simp [lintegral_const_mul'' _ hg, lintegral_mul_const'' _ hf]
#align measure_theory.lintegral_lintegral_mul MeasureTheory.lintegral_lintegral_mul
-- TODO: Need a better way of rewriting inside of an integral
theorem lintegral_rw₁ {f f' : α → β} (h : f =ᵐ[μ] f') (g : β → ℝ≥0∞) :
∫⁻ a, g (f a) ∂μ = ∫⁻ a, g (f' a) ∂μ :=
lintegral_congr_ae <| h.mono fun a h => by dsimp only; rw [h]
#align measure_theory.lintegral_rw₁ MeasureTheory.lintegral_rw₁
-- TODO: Need a better way of rewriting inside of an integral
theorem lintegral_rw₂ {f₁ f₁' : α → β} {f₂ f₂' : α → γ} (h₁ : f₁ =ᵐ[μ] f₁') (h₂ : f₂ =ᵐ[μ] f₂')
(g : β → γ → ℝ≥0∞) : ∫⁻ a, g (f₁ a) (f₂ a) ∂μ = ∫⁻ a, g (f₁' a) (f₂' a) ∂μ :=
lintegral_congr_ae <| h₁.mp <| h₂.mono fun _ h₂ h₁ => by dsimp only; rw [h₁, h₂]
#align measure_theory.lintegral_rw₂ MeasureTheory.lintegral_rw₂
theorem lintegral_indicator_le (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ a, s.indicator f a ∂μ ≤ ∫⁻ a in s, f a ∂μ := by
simp only [lintegral]
apply iSup_le (fun g ↦ (iSup_le (fun hg ↦ ?_)))
have : g ≤ f := hg.trans (indicator_le_self s f)
refine le_iSup_of_le g (le_iSup_of_le this (le_of_eq ?_))
rw [lintegral_restrict, SimpleFunc.lintegral]
congr with t
by_cases H : t = 0
· simp [H]
congr with x
simp only [mem_preimage, mem_singleton_iff, mem_inter_iff, iff_self_and]
rintro rfl
contrapose! H
simpa [H] using hg x
@[simp]
theorem lintegral_indicator (f : α → ℝ≥0∞) {s : Set α} (hs : MeasurableSet s) :
∫⁻ a, s.indicator f a ∂μ = ∫⁻ a in s, f a ∂μ := by
apply le_antisymm (lintegral_indicator_le f s)
simp only [lintegral, ← restrict_lintegral_eq_lintegral_restrict _ hs, iSup_subtype']
refine iSup_mono' (Subtype.forall.2 fun φ hφ => ?_)
refine ⟨⟨φ.restrict s, fun x => ?_⟩, le_rfl⟩
simp [hφ x, hs, indicator_le_indicator]
#align measure_theory.lintegral_indicator MeasureTheory.lintegral_indicator
theorem lintegral_indicator₀ (f : α → ℝ≥0∞) {s : Set α} (hs : NullMeasurableSet s μ) :
∫⁻ a, s.indicator f a ∂μ = ∫⁻ a in s, f a ∂μ := by
rw [← lintegral_congr_ae (indicator_ae_eq_of_ae_eq_set hs.toMeasurable_ae_eq),
lintegral_indicator _ (measurableSet_toMeasurable _ _),
Measure.restrict_congr_set hs.toMeasurable_ae_eq]
#align measure_theory.lintegral_indicator₀ MeasureTheory.lintegral_indicator₀
theorem lintegral_indicator_const_le (s : Set α) (c : ℝ≥0∞) :
∫⁻ a, s.indicator (fun _ => c) a ∂μ ≤ c * μ s :=
(lintegral_indicator_le _ _).trans (set_lintegral_const s c).le
theorem lintegral_indicator_const₀ {s : Set α} (hs : NullMeasurableSet s μ) (c : ℝ≥0∞) :
∫⁻ a, s.indicator (fun _ => c) a ∂μ = c * μ s := by
rw [lintegral_indicator₀ _ hs, set_lintegral_const]
theorem lintegral_indicator_const {s : Set α} (hs : MeasurableSet s) (c : ℝ≥0∞) :
∫⁻ a, s.indicator (fun _ => c) a ∂μ = c * μ s :=
lintegral_indicator_const₀ hs.nullMeasurableSet c
#align measure_theory.lintegral_indicator_const MeasureTheory.lintegral_indicator_const
theorem set_lintegral_eq_const {f : α → ℝ≥0∞} (hf : Measurable f) (r : ℝ≥0∞) :
∫⁻ x in { x | f x = r }, f x ∂μ = r * μ { x | f x = r } := by
have : ∀ᵐ x ∂μ, x ∈ { x | f x = r } → f x = r := ae_of_all μ fun _ hx => hx
rw [set_lintegral_congr_fun _ this]
· rw [lintegral_const, Measure.restrict_apply MeasurableSet.univ, Set.univ_inter]
· exact hf (measurableSet_singleton r)
#align measure_theory.set_lintegral_eq_const MeasureTheory.set_lintegral_eq_const
theorem lintegral_indicator_one_le (s : Set α) : ∫⁻ a, s.indicator 1 a ∂μ ≤ μ s :=
(lintegral_indicator_const_le _ _).trans <| (one_mul _).le
@[simp]
theorem lintegral_indicator_one₀ (hs : NullMeasurableSet s μ) : ∫⁻ a, s.indicator 1 a ∂μ = μ s :=
(lintegral_indicator_const₀ hs _).trans <| one_mul _
@[simp]
theorem lintegral_indicator_one (hs : MeasurableSet s) : ∫⁻ a, s.indicator 1 a ∂μ = μ s :=
(lintegral_indicator_const hs _).trans <| one_mul _
#align measure_theory.lintegral_indicator_one MeasureTheory.lintegral_indicator_one
theorem lintegral_add_mul_meas_add_le_le_lintegral {f g : α → ℝ≥0∞} (hle : f ≤ᵐ[μ] g)
(hg : AEMeasurable g μ) (ε : ℝ≥0∞) :
∫⁻ a, f a ∂μ + ε * μ { x | f x + ε ≤ g x } ≤ ∫⁻ a, g a ∂μ := by
rcases exists_measurable_le_lintegral_eq μ f with ⟨φ, hφm, hφ_le, hφ_eq⟩
calc
∫⁻ x, f x ∂μ + ε * μ { x | f x + ε ≤ g x } = ∫⁻ x, φ x ∂μ + ε * μ { x | f x + ε ≤ g x } := by
rw [hφ_eq]
_ ≤ ∫⁻ x, φ x ∂μ + ε * μ { x | φ x + ε ≤ g x } := by
gcongr
exact fun x => (add_le_add_right (hφ_le _) _).trans
_ = ∫⁻ x, φ x + indicator { x | φ x + ε ≤ g x } (fun _ => ε) x ∂μ := by
rw [lintegral_add_left hφm, lintegral_indicator₀, set_lintegral_const]
exact measurableSet_le (hφm.nullMeasurable.measurable'.add_const _) hg.nullMeasurable
_ ≤ ∫⁻ x, g x ∂μ := lintegral_mono_ae (hle.mono fun x hx₁ => ?_)
simp only [indicator_apply]; split_ifs with hx₂
exacts [hx₂, (add_zero _).trans_le <| (hφ_le x).trans hx₁]
#align measure_theory.lintegral_add_mul_meas_add_le_le_lintegral MeasureTheory.lintegral_add_mul_meas_add_le_le_lintegral
theorem mul_meas_ge_le_lintegral₀ {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ f x } ≤ ∫⁻ a, f a ∂μ := by
simpa only [lintegral_zero, zero_add] using
lintegral_add_mul_meas_add_le_le_lintegral (ae_of_all _ fun x => zero_le (f x)) hf ε
#align measure_theory.mul_meas_ge_le_lintegral₀ MeasureTheory.mul_meas_ge_le_lintegral₀
theorem mul_meas_ge_le_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) (ε : ℝ≥0∞) :
ε * μ { x | ε ≤ f x } ≤ ∫⁻ a, f a ∂μ :=
mul_meas_ge_le_lintegral₀ hf.aemeasurable ε
#align measure_theory.mul_meas_ge_le_lintegral MeasureTheory.mul_meas_ge_le_lintegral
lemma meas_le_lintegral₀ {f : α → ℝ≥0∞} (hf : AEMeasurable f μ)
{s : Set α} (hs : ∀ x ∈ s, 1 ≤ f x) : μ s ≤ ∫⁻ a, f a ∂μ := by
apply le_trans _ (mul_meas_ge_le_lintegral₀ hf 1)
rw [one_mul]
exact measure_mono hs
lemma lintegral_le_meas {s : Set α} {f : α → ℝ≥0∞} (hf : ∀ a, f a ≤ 1) (h'f : ∀ a ∈ sᶜ, f a = 0) :
∫⁻ a, f a ∂μ ≤ μ s := by
apply (lintegral_mono (fun x ↦ ?_)).trans (lintegral_indicator_one_le s)
by_cases hx : x ∈ s
· simpa [hx] using hf x
· simpa [hx] using h'f x hx
theorem lintegral_eq_top_of_measure_eq_top_ne_zero {f : α → ℝ≥0∞} (hf : AEMeasurable f μ)
(hμf : μ {x | f x = ∞} ≠ 0) : ∫⁻ x, f x ∂μ = ∞ :=
eq_top_iff.mpr <|
calc
∞ = ∞ * μ { x | ∞ ≤ f x } := by simp [mul_eq_top, hμf]
_ ≤ ∫⁻ x, f x ∂μ := mul_meas_ge_le_lintegral₀ hf ∞
#align measure_theory.lintegral_eq_top_of_measure_eq_top_ne_zero MeasureTheory.lintegral_eq_top_of_measure_eq_top_ne_zero
theorem setLintegral_eq_top_of_measure_eq_top_ne_zero (hf : AEMeasurable f (μ.restrict s))
(hμf : μ ({x ∈ s | f x = ∞}) ≠ 0) : ∫⁻ x in s, f x ∂μ = ∞ :=
lintegral_eq_top_of_measure_eq_top_ne_zero hf <|
mt (eq_bot_mono <| by rw [← setOf_inter_eq_sep]; exact Measure.le_restrict_apply _ _) hμf
#align measure_theory.set_lintegral_eq_top_of_measure_eq_top_ne_zero MeasureTheory.setLintegral_eq_top_of_measure_eq_top_ne_zero
theorem measure_eq_top_of_lintegral_ne_top (hf : AEMeasurable f μ) (hμf : ∫⁻ x, f x ∂μ ≠ ∞) :
μ {x | f x = ∞} = 0 :=
of_not_not fun h => hμf <| lintegral_eq_top_of_measure_eq_top_ne_zero hf h
#align measure_theory.measure_eq_top_of_lintegral_ne_top MeasureTheory.measure_eq_top_of_lintegral_ne_top
theorem measure_eq_top_of_setLintegral_ne_top (hf : AEMeasurable f (μ.restrict s))
(hμf : ∫⁻ x in s, f x ∂μ ≠ ∞) : μ ({x ∈ s | f x = ∞}) = 0 :=
of_not_not fun h => hμf <| setLintegral_eq_top_of_measure_eq_top_ne_zero hf h
#align measure_theory.measure_eq_top_of_set_lintegral_ne_top MeasureTheory.measure_eq_top_of_setLintegral_ne_top
theorem meas_ge_le_lintegral_div {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) {ε : ℝ≥0∞} (hε : ε ≠ 0)
(hε' : ε ≠ ∞) : μ { x | ε ≤ f x } ≤ (∫⁻ a, f a ∂μ) / ε :=
(ENNReal.le_div_iff_mul_le (Or.inl hε) (Or.inl hε')).2 <| by
rw [mul_comm]
exact mul_meas_ge_le_lintegral₀ hf ε
#align measure_theory.meas_ge_le_lintegral_div MeasureTheory.meas_ge_le_lintegral_div
theorem ae_eq_of_ae_le_of_lintegral_le {f g : α → ℝ≥0∞} (hfg : f ≤ᵐ[μ] g) (hf : ∫⁻ x, f x ∂μ ≠ ∞)
(hg : AEMeasurable g μ) (hgf : ∫⁻ x, g x ∂μ ≤ ∫⁻ x, f x ∂μ) : f =ᵐ[μ] g := by
have : ∀ n : ℕ, ∀ᵐ x ∂μ, g x < f x + (n : ℝ≥0∞)⁻¹ := by
intro n
simp only [ae_iff, not_lt]
have : ∫⁻ x, f x ∂μ + (↑n)⁻¹ * μ { x : α | f x + (n : ℝ≥0∞)⁻¹ ≤ g x } ≤ ∫⁻ x, f x ∂μ :=
(lintegral_add_mul_meas_add_le_le_lintegral hfg hg n⁻¹).trans hgf
rw [(ENNReal.cancel_of_ne hf).add_le_iff_nonpos_right, nonpos_iff_eq_zero, mul_eq_zero] at this
exact this.resolve_left (ENNReal.inv_ne_zero.2 (ENNReal.natCast_ne_top _))
refine hfg.mp ((ae_all_iff.2 this).mono fun x hlt hle => hle.antisymm ?_)
suffices Tendsto (fun n : ℕ => f x + (n : ℝ≥0∞)⁻¹) atTop (𝓝 (f x)) from
ge_of_tendsto' this fun i => (hlt i).le
simpa only [inv_top, add_zero] using
tendsto_const_nhds.add (ENNReal.tendsto_inv_iff.2 ENNReal.tendsto_nat_nhds_top)
#align measure_theory.ae_eq_of_ae_le_of_lintegral_le MeasureTheory.ae_eq_of_ae_le_of_lintegral_le
@[simp]
theorem lintegral_eq_zero_iff' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) :
∫⁻ a, f a ∂μ = 0 ↔ f =ᵐ[μ] 0 :=
have : ∫⁻ _ : α, 0 ∂μ ≠ ∞ := by simp [lintegral_zero, zero_ne_top]
⟨fun h =>
(ae_eq_of_ae_le_of_lintegral_le (ae_of_all _ <| zero_le f) this hf
(h.trans lintegral_zero.symm).le).symm,
fun h => (lintegral_congr_ae h).trans lintegral_zero⟩
#align measure_theory.lintegral_eq_zero_iff' MeasureTheory.lintegral_eq_zero_iff'
@[simp]
theorem lintegral_eq_zero_iff {f : α → ℝ≥0∞} (hf : Measurable f) : ∫⁻ a, f a ∂μ = 0 ↔ f =ᵐ[μ] 0 :=
lintegral_eq_zero_iff' hf.aemeasurable
#align measure_theory.lintegral_eq_zero_iff MeasureTheory.lintegral_eq_zero_iff
theorem lintegral_pos_iff_support {f : α → ℝ≥0∞} (hf : Measurable f) :
(0 < ∫⁻ a, f a ∂μ) ↔ 0 < μ (Function.support f) := by
simp [pos_iff_ne_zero, hf, Filter.EventuallyEq, ae_iff, Function.support]
#align measure_theory.lintegral_pos_iff_support MeasureTheory.lintegral_pos_iff_support
theorem setLintegral_pos_iff {f : α → ℝ≥0∞} (hf : Measurable f) {s : Set α} :
0 < ∫⁻ a in s, f a ∂μ ↔ 0 < μ (Function.support f ∩ s) := by
rw [lintegral_pos_iff_support hf, Measure.restrict_apply (measurableSet_support hf)]
theorem lintegral_iSup_ae {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n))
(h_mono : ∀ n, ∀ᵐ a ∂μ, f n a ≤ f n.succ a) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
let ⟨s, hs⟩ := exists_measurable_superset_of_null (ae_iff.1 (ae_all_iff.2 h_mono))
let g n a := if a ∈ s then 0 else f n a
have g_eq_f : ∀ᵐ a ∂μ, ∀ n, g n a = f n a :=
(measure_zero_iff_ae_nmem.1 hs.2.2).mono fun a ha n => if_neg ha
calc
∫⁻ a, ⨆ n, f n a ∂μ = ∫⁻ a, ⨆ n, g n a ∂μ :=
lintegral_congr_ae <| g_eq_f.mono fun a ha => by simp only [ha]
_ = ⨆ n, ∫⁻ a, g n a ∂μ :=
(lintegral_iSup (fun n => measurable_const.piecewise hs.2.1 (hf n))
(monotone_nat_of_le_succ fun n a => ?_))
_ = ⨆ n, ∫⁻ a, f n a ∂μ := by simp only [lintegral_congr_ae (g_eq_f.mono fun _a ha => ha _)]
simp only [g]
split_ifs with h
· rfl
· have := Set.not_mem_subset hs.1 h
simp only [not_forall, not_le, mem_setOf_eq, not_exists, not_lt] at this
exact this n
#align measure_theory.lintegral_supr_ae MeasureTheory.lintegral_iSup_ae
theorem lintegral_sub' {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ) (hg_fin : ∫⁻ a, g a ∂μ ≠ ∞)
(h_le : g ≤ᵐ[μ] f) : ∫⁻ a, f a - g a ∂μ = ∫⁻ a, f a ∂μ - ∫⁻ a, g a ∂μ := by
refine ENNReal.eq_sub_of_add_eq hg_fin ?_
rw [← lintegral_add_right' _ hg]
exact lintegral_congr_ae (h_le.mono fun x hx => tsub_add_cancel_of_le hx)
#align measure_theory.lintegral_sub' MeasureTheory.lintegral_sub'
theorem lintegral_sub {f g : α → ℝ≥0∞} (hg : Measurable g) (hg_fin : ∫⁻ a, g a ∂μ ≠ ∞)
(h_le : g ≤ᵐ[μ] f) : ∫⁻ a, f a - g a ∂μ = ∫⁻ a, f a ∂μ - ∫⁻ a, g a ∂μ :=
lintegral_sub' hg.aemeasurable hg_fin h_le
#align measure_theory.lintegral_sub MeasureTheory.lintegral_sub
theorem lintegral_sub_le' (f g : α → ℝ≥0∞) (hf : AEMeasurable f μ) :
∫⁻ x, g x ∂μ - ∫⁻ x, f x ∂μ ≤ ∫⁻ x, g x - f x ∂μ := by
rw [tsub_le_iff_right]
by_cases hfi : ∫⁻ x, f x ∂μ = ∞
· rw [hfi, add_top]
exact le_top
· rw [← lintegral_add_right' _ hf]
gcongr
exact le_tsub_add
#align measure_theory.lintegral_sub_le' MeasureTheory.lintegral_sub_le'
theorem lintegral_sub_le (f g : α → ℝ≥0∞) (hf : Measurable f) :
∫⁻ x, g x ∂μ - ∫⁻ x, f x ∂μ ≤ ∫⁻ x, g x - f x ∂μ :=
lintegral_sub_le' f g hf.aemeasurable
#align measure_theory.lintegral_sub_le MeasureTheory.lintegral_sub_le
theorem lintegral_strict_mono_of_ae_le_of_frequently_ae_lt {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h_le : f ≤ᵐ[μ] g) (h : ∃ᵐ x ∂μ, f x ≠ g x) :
∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := by
contrapose! h
simp only [not_frequently, Ne, Classical.not_not]
exact ae_eq_of_ae_le_of_lintegral_le h_le hfi hg h
#align measure_theory.lintegral_strict_mono_of_ae_le_of_frequently_ae_lt MeasureTheory.lintegral_strict_mono_of_ae_le_of_frequently_ae_lt
theorem lintegral_strict_mono_of_ae_le_of_ae_lt_on {f g : α → ℝ≥0∞} (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h_le : f ≤ᵐ[μ] g) {s : Set α} (hμs : μ s ≠ 0)
(h : ∀ᵐ x ∂μ, x ∈ s → f x < g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ :=
lintegral_strict_mono_of_ae_le_of_frequently_ae_lt hg hfi h_le <|
((frequently_ae_mem_iff.2 hμs).and_eventually h).mono fun _x hx => (hx.2 hx.1).ne
#align measure_theory.lintegral_strict_mono_of_ae_le_of_ae_lt_on MeasureTheory.lintegral_strict_mono_of_ae_le_of_ae_lt_on
theorem lintegral_strict_mono {f g : α → ℝ≥0∞} (hμ : μ ≠ 0) (hg : AEMeasurable g μ)
(hfi : ∫⁻ x, f x ∂μ ≠ ∞) (h : ∀ᵐ x ∂μ, f x < g x) : ∫⁻ x, f x ∂μ < ∫⁻ x, g x ∂μ := by
rw [Ne, ← Measure.measure_univ_eq_zero] at hμ
refine lintegral_strict_mono_of_ae_le_of_ae_lt_on hg hfi (ae_le_of_ae_lt h) hμ ?_
simpa using h
#align measure_theory.lintegral_strict_mono MeasureTheory.lintegral_strict_mono
theorem set_lintegral_strict_mono {f g : α → ℝ≥0∞} {s : Set α} (hsm : MeasurableSet s)
(hs : μ s ≠ 0) (hg : Measurable g) (hfi : ∫⁻ x in s, f x ∂μ ≠ ∞)
(h : ∀ᵐ x ∂μ, x ∈ s → f x < g x) : ∫⁻ x in s, f x ∂μ < ∫⁻ x in s, g x ∂μ :=
lintegral_strict_mono (by simp [hs]) hg.aemeasurable hfi ((ae_restrict_iff' hsm).mpr h)
#align measure_theory.set_lintegral_strict_mono MeasureTheory.set_lintegral_strict_mono
theorem lintegral_iInf_ae {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n))
(h_mono : ∀ n : ℕ, f n.succ ≤ᵐ[μ] f n) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) :
∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ :=
have fn_le_f0 : ∫⁻ a, ⨅ n, f n a ∂μ ≤ ∫⁻ a, f 0 a ∂μ :=
lintegral_mono fun a => iInf_le_of_le 0 le_rfl
have fn_le_f0' : ⨅ n, ∫⁻ a, f n a ∂μ ≤ ∫⁻ a, f 0 a ∂μ := iInf_le_of_le 0 le_rfl
(ENNReal.sub_right_inj h_fin fn_le_f0 fn_le_f0').1 <|
show ∫⁻ a, f 0 a ∂μ - ∫⁻ a, ⨅ n, f n a ∂μ = ∫⁻ a, f 0 a ∂μ - ⨅ n, ∫⁻ a, f n a ∂μ from
calc
∫⁻ a, f 0 a ∂μ - ∫⁻ a, ⨅ n, f n a ∂μ = ∫⁻ a, f 0 a - ⨅ n, f n a ∂μ :=
(lintegral_sub (measurable_iInf h_meas)
(ne_top_of_le_ne_top h_fin <| lintegral_mono fun a => iInf_le _ _)
(ae_of_all _ fun a => iInf_le _ _)).symm
_ = ∫⁻ a, ⨆ n, f 0 a - f n a ∂μ := congr rfl (funext fun a => ENNReal.sub_iInf)
_ = ⨆ n, ∫⁻ a, f 0 a - f n a ∂μ :=
(lintegral_iSup_ae (fun n => (h_meas 0).sub (h_meas n)) fun n =>
(h_mono n).mono fun a ha => tsub_le_tsub le_rfl ha)
_ = ⨆ n, ∫⁻ a, f 0 a ∂μ - ∫⁻ a, f n a ∂μ :=
(have h_mono : ∀ᵐ a ∂μ, ∀ n : ℕ, f n.succ a ≤ f n a := ae_all_iff.2 h_mono
have h_mono : ∀ n, ∀ᵐ a ∂μ, f n a ≤ f 0 a := fun n =>
h_mono.mono fun a h => by
induction' n with n ih
· exact le_rfl
· exact le_trans (h n) ih
congr_arg iSup <|
funext fun n =>
lintegral_sub (h_meas _) (ne_top_of_le_ne_top h_fin <| lintegral_mono_ae <| h_mono n)
(h_mono n))
_ = ∫⁻ a, f 0 a ∂μ - ⨅ n, ∫⁻ a, f n a ∂μ := ENNReal.sub_iInf.symm
#align measure_theory.lintegral_infi_ae MeasureTheory.lintegral_iInf_ae
theorem lintegral_iInf {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n)) (h_anti : Antitone f)
(h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) : ∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ :=
lintegral_iInf_ae h_meas (fun n => ae_of_all _ <| h_anti n.le_succ) h_fin
#align measure_theory.lintegral_infi MeasureTheory.lintegral_iInf
theorem lintegral_iInf' {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, AEMeasurable (f n) μ)
(h_anti : ∀ᵐ a ∂μ, Antitone (fun i ↦ f i a)) (h_fin : ∫⁻ a, f 0 a ∂μ ≠ ∞) :
∫⁻ a, ⨅ n, f n a ∂μ = ⨅ n, ∫⁻ a, f n a ∂μ := by
simp_rw [← iInf_apply]
let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Antitone f'
have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_anti
have h_ae_seq_mono : Antitone (aeSeq h_meas p) := by
intro n m hnm x
by_cases hx : x ∈ aeSeqSet h_meas p
· exact aeSeq.prop_of_mem_aeSeqSet h_meas hx hnm
· simp only [aeSeq, hx, if_false]
exact le_rfl
rw [lintegral_congr_ae (aeSeq.iInf h_meas hp).symm]
simp_rw [iInf_apply]
rw [lintegral_iInf (aeSeq.measurable h_meas p) h_ae_seq_mono]
· congr
exact funext fun n ↦ lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae h_meas hp n)
· rwa [lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae h_meas hp 0)]
theorem lintegral_iInf_directed_of_measurable {mα : MeasurableSpace α} [Countable β]
{f : β → α → ℝ≥0∞} {μ : Measure α} (hμ : μ ≠ 0) (hf : ∀ b, Measurable (f b))
(hf_int : ∀ b, ∫⁻ a, f b a ∂μ ≠ ∞) (h_directed : Directed (· ≥ ·) f) :
∫⁻ a, ⨅ b, f b a ∂μ = ⨅ b, ∫⁻ a, f b a ∂μ := by
cases nonempty_encodable β
cases isEmpty_or_nonempty β
· simp only [iInf_of_empty, lintegral_const,
ENNReal.top_mul (Measure.measure_univ_ne_zero.mpr hμ)]
inhabit β
have : ∀ a, ⨅ b, f b a = ⨅ n, f (h_directed.sequence f n) a := by
refine fun a =>
le_antisymm (le_iInf fun n => iInf_le _ _)
(le_iInf fun b => iInf_le_of_le (Encodable.encode b + 1) ?_)
exact h_directed.sequence_le b a
-- Porting note: used `∘` below to deal with its reduced reducibility
calc
∫⁻ a, ⨅ b, f b a ∂μ
_ = ∫⁻ a, ⨅ n, (f ∘ h_directed.sequence f) n a ∂μ := by simp only [this, Function.comp_apply]
_ = ⨅ n, ∫⁻ a, (f ∘ h_directed.sequence f) n a ∂μ := by
rw [lintegral_iInf ?_ h_directed.sequence_anti]
· exact hf_int _
· exact fun n => hf _
_ = ⨅ b, ∫⁻ a, f b a ∂μ := by
refine le_antisymm (le_iInf fun b => ?_) (le_iInf fun n => ?_)
· exact iInf_le_of_le (Encodable.encode b + 1) (lintegral_mono <| h_directed.sequence_le b)
· exact iInf_le (fun b => ∫⁻ a, f b a ∂μ) _
#align lintegral_infi_directed_of_measurable MeasureTheory.lintegral_iInf_directed_of_measurable
theorem lintegral_liminf_le' {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, AEMeasurable (f n) μ) :
∫⁻ a, liminf (fun n => f n a) atTop ∂μ ≤ liminf (fun n => ∫⁻ a, f n a ∂μ) atTop :=
calc
∫⁻ a, liminf (fun n => f n a) atTop ∂μ = ∫⁻ a, ⨆ n : ℕ, ⨅ i ≥ n, f i a ∂μ := by
simp only [liminf_eq_iSup_iInf_of_nat]
_ = ⨆ n : ℕ, ∫⁻ a, ⨅ i ≥ n, f i a ∂μ :=
(lintegral_iSup' (fun n => aemeasurable_biInf _ (to_countable _) (fun i _ ↦ h_meas i))
(ae_of_all μ fun a n m hnm => iInf_le_iInf_of_subset fun i hi => le_trans hnm hi))
_ ≤ ⨆ n : ℕ, ⨅ i ≥ n, ∫⁻ a, f i a ∂μ := iSup_mono fun n => le_iInf₂_lintegral _
_ = atTop.liminf fun n => ∫⁻ a, f n a ∂μ := Filter.liminf_eq_iSup_iInf_of_nat.symm
#align measure_theory.lintegral_liminf_le' MeasureTheory.lintegral_liminf_le'
theorem lintegral_liminf_le {f : ℕ → α → ℝ≥0∞} (h_meas : ∀ n, Measurable (f n)) :
∫⁻ a, liminf (fun n => f n a) atTop ∂μ ≤ liminf (fun n => ∫⁻ a, f n a ∂μ) atTop :=
lintegral_liminf_le' fun n => (h_meas n).aemeasurable
#align measure_theory.lintegral_liminf_le MeasureTheory.lintegral_liminf_le
theorem limsup_lintegral_le {f : ℕ → α → ℝ≥0∞} {g : α → ℝ≥0∞} (hf_meas : ∀ n, Measurable (f n))
(h_bound : ∀ n, f n ≤ᵐ[μ] g) (h_fin : ∫⁻ a, g a ∂μ ≠ ∞) :
limsup (fun n => ∫⁻ a, f n a ∂μ) atTop ≤ ∫⁻ a, limsup (fun n => f n a) atTop ∂μ :=
calc
limsup (fun n => ∫⁻ a, f n a ∂μ) atTop = ⨅ n : ℕ, ⨆ i ≥ n, ∫⁻ a, f i a ∂μ :=
limsup_eq_iInf_iSup_of_nat
_ ≤ ⨅ n : ℕ, ∫⁻ a, ⨆ i ≥ n, f i a ∂μ := iInf_mono fun n => iSup₂_lintegral_le _
_ = ∫⁻ a, ⨅ n : ℕ, ⨆ i ≥ n, f i a ∂μ := by
refine (lintegral_iInf ?_ ?_ ?_).symm
· intro n
exact measurable_biSup _ (to_countable _) (fun i _ ↦ hf_meas i)
· intro n m hnm a
exact iSup_le_iSup_of_subset fun i hi => le_trans hnm hi
· refine ne_top_of_le_ne_top h_fin (lintegral_mono_ae ?_)
refine (ae_all_iff.2 h_bound).mono fun n hn => ?_
exact iSup_le fun i => iSup_le fun _ => hn i
_ = ∫⁻ a, limsup (fun n => f n a) atTop ∂μ := by simp only [limsup_eq_iInf_iSup_of_nat]
#align measure_theory.limsup_lintegral_le MeasureTheory.limsup_lintegral_le
theorem tendsto_lintegral_of_dominated_convergence {F : ℕ → α → ℝ≥0∞} {f : α → ℝ≥0∞}
(bound : α → ℝ≥0∞) (hF_meas : ∀ n, Measurable (F n)) (h_bound : ∀ n, F n ≤ᵐ[μ] bound)
(h_fin : ∫⁻ a, bound a ∂μ ≠ ∞) (h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) atTop (𝓝 (f a))) :
Tendsto (fun n => ∫⁻ a, F n a ∂μ) atTop (𝓝 (∫⁻ a, f a ∂μ)) :=
tendsto_of_le_liminf_of_limsup_le
(calc
∫⁻ a, f a ∂μ = ∫⁻ a, liminf (fun n : ℕ => F n a) atTop ∂μ :=
lintegral_congr_ae <| h_lim.mono fun a h => h.liminf_eq.symm
_ ≤ liminf (fun n => ∫⁻ a, F n a ∂μ) atTop := lintegral_liminf_le hF_meas
)
(calc
limsup (fun n : ℕ => ∫⁻ a, F n a ∂μ) atTop ≤ ∫⁻ a, limsup (fun n => F n a) atTop ∂μ :=
limsup_lintegral_le hF_meas h_bound h_fin
_ = ∫⁻ a, f a ∂μ := lintegral_congr_ae <| h_lim.mono fun a h => h.limsup_eq
)
#align measure_theory.tendsto_lintegral_of_dominated_convergence MeasureTheory.tendsto_lintegral_of_dominated_convergence
theorem tendsto_lintegral_of_dominated_convergence' {F : ℕ → α → ℝ≥0∞} {f : α → ℝ≥0∞}
(bound : α → ℝ≥0∞) (hF_meas : ∀ n, AEMeasurable (F n) μ) (h_bound : ∀ n, F n ≤ᵐ[μ] bound)
(h_fin : ∫⁻ a, bound a ∂μ ≠ ∞) (h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) atTop (𝓝 (f a))) :
Tendsto (fun n => ∫⁻ a, F n a ∂μ) atTop (𝓝 (∫⁻ a, f a ∂μ)) := by
have : ∀ n, ∫⁻ a, F n a ∂μ = ∫⁻ a, (hF_meas n).mk (F n) a ∂μ := fun n =>
lintegral_congr_ae (hF_meas n).ae_eq_mk
simp_rw [this]
apply
tendsto_lintegral_of_dominated_convergence bound (fun n => (hF_meas n).measurable_mk) _ h_fin
· have : ∀ n, ∀ᵐ a ∂μ, (hF_meas n).mk (F n) a = F n a := fun n => (hF_meas n).ae_eq_mk.symm
have : ∀ᵐ a ∂μ, ∀ n, (hF_meas n).mk (F n) a = F n a := ae_all_iff.mpr this
filter_upwards [this, h_lim] with a H H'
simp_rw [H]
exact H'
· intro n
filter_upwards [h_bound n, (hF_meas n).ae_eq_mk] with a H H'
rwa [H'] at H
#align measure_theory.tendsto_lintegral_of_dominated_convergence' MeasureTheory.tendsto_lintegral_of_dominated_convergence'
theorem tendsto_lintegral_filter_of_dominated_convergence {ι} {l : Filter ι}
[l.IsCountablyGenerated] {F : ι → α → ℝ≥0∞} {f : α → ℝ≥0∞} (bound : α → ℝ≥0∞)
(hF_meas : ∀ᶠ n in l, Measurable (F n)) (h_bound : ∀ᶠ n in l, ∀ᵐ a ∂μ, F n a ≤ bound a)
(h_fin : ∫⁻ a, bound a ∂μ ≠ ∞) (h_lim : ∀ᵐ a ∂μ, Tendsto (fun n => F n a) l (𝓝 (f a))) :
Tendsto (fun n => ∫⁻ a, F n a ∂μ) l (𝓝 <| ∫⁻ a, f a ∂μ) := by
rw [tendsto_iff_seq_tendsto]
intro x xl
have hxl := by
rw [tendsto_atTop'] at xl
exact xl
have h := inter_mem hF_meas h_bound
replace h := hxl _ h
rcases h with ⟨k, h⟩
rw [← tendsto_add_atTop_iff_nat k]
refine tendsto_lintegral_of_dominated_convergence ?_ ?_ ?_ ?_ ?_
· exact bound
· intro
refine (h _ ?_).1
exact Nat.le_add_left _ _
· intro
refine (h _ ?_).2
exact Nat.le_add_left _ _
· assumption
· refine h_lim.mono fun a h_lim => ?_
apply @Tendsto.comp _ _ _ (fun n => x (n + k)) fun n => F n a
· assumption
rw [tendsto_add_atTop_iff_nat]
assumption
#align measure_theory.tendsto_lintegral_filter_of_dominated_convergence MeasureTheory.tendsto_lintegral_filter_of_dominated_convergence
theorem lintegral_tendsto_of_tendsto_of_antitone {f : ℕ → α → ℝ≥0∞} {F : α → ℝ≥0∞}
(hf : ∀ n, AEMeasurable (f n) μ) (h_anti : ∀ᵐ x ∂μ, Antitone fun n ↦ f n x)
(h0 : ∫⁻ a, f 0 a ∂μ ≠ ∞)
(h_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n ↦ f n x) atTop (𝓝 (F x))) :
Tendsto (fun n ↦ ∫⁻ x, f n x ∂μ) atTop (𝓝 (∫⁻ x, F x ∂μ)) := by
have : Antitone fun n ↦ ∫⁻ x, f n x ∂μ := fun i j hij ↦
lintegral_mono_ae (h_anti.mono fun x hx ↦ hx hij)
suffices key : ∫⁻ x, F x ∂μ = ⨅ n, ∫⁻ x, f n x ∂μ by
rw [key]
exact tendsto_atTop_iInf this
rw [← lintegral_iInf' hf h_anti h0]
refine lintegral_congr_ae ?_
filter_upwards [h_anti, h_tendsto] with _ hx_anti hx_tendsto
using tendsto_nhds_unique hx_tendsto (tendsto_atTop_iInf hx_anti)
section
open Encodable
theorem lintegral_iSup_directed_of_measurable [Countable β] {f : β → α → ℝ≥0∞}
(hf : ∀ b, Measurable (f b)) (h_directed : Directed (· ≤ ·) f) :
∫⁻ a, ⨆ b, f b a ∂μ = ⨆ b, ∫⁻ a, f b a ∂μ := by
cases nonempty_encodable β
cases isEmpty_or_nonempty β
· simp [iSup_of_empty]
inhabit β
have : ∀ a, ⨆ b, f b a = ⨆ n, f (h_directed.sequence f n) a := by
intro a
refine le_antisymm (iSup_le fun b => ?_) (iSup_le fun n => le_iSup (fun n => f n a) _)
exact le_iSup_of_le (encode b + 1) (h_directed.le_sequence b a)
calc
∫⁻ a, ⨆ b, f b a ∂μ = ∫⁻ a, ⨆ n, f (h_directed.sequence f n) a ∂μ := by simp only [this]
_ = ⨆ n, ∫⁻ a, f (h_directed.sequence f n) a ∂μ :=
(lintegral_iSup (fun n => hf _) h_directed.sequence_mono)
_ = ⨆ b, ∫⁻ a, f b a ∂μ := by
refine le_antisymm (iSup_le fun n => ?_) (iSup_le fun b => ?_)
· exact le_iSup (fun b => ∫⁻ a, f b a ∂μ) _
· exact le_iSup_of_le (encode b + 1) (lintegral_mono <| h_directed.le_sequence b)
#align measure_theory.lintegral_supr_directed_of_measurable MeasureTheory.lintegral_iSup_directed_of_measurable
theorem lintegral_iSup_directed [Countable β] {f : β → α → ℝ≥0∞} (hf : ∀ b, AEMeasurable (f b) μ)
(h_directed : Directed (· ≤ ·) f) : ∫⁻ a, ⨆ b, f b a ∂μ = ⨆ b, ∫⁻ a, f b a ∂μ := by
simp_rw [← iSup_apply]
let p : α → (β → ENNReal) → Prop := fun x f' => Directed LE.le f'
have hp : ∀ᵐ x ∂μ, p x fun i => f i x := by
filter_upwards [] with x i j
obtain ⟨z, hz₁, hz₂⟩ := h_directed i j
exact ⟨z, hz₁ x, hz₂ x⟩
have h_ae_seq_directed : Directed LE.le (aeSeq hf p) := by
intro b₁ b₂
obtain ⟨z, hz₁, hz₂⟩ := h_directed b₁ b₂
refine ⟨z, ?_, ?_⟩ <;>
· intro x
by_cases hx : x ∈ aeSeqSet hf p
· repeat rw [aeSeq.aeSeq_eq_fun_of_mem_aeSeqSet hf hx]
apply_rules [hz₁, hz₂]
· simp only [aeSeq, hx, if_false]
exact le_rfl
convert lintegral_iSup_directed_of_measurable (aeSeq.measurable hf p) h_ae_seq_directed using 1
· simp_rw [← iSup_apply]
rw [lintegral_congr_ae (aeSeq.iSup hf hp).symm]
· congr 1
ext1 b
rw [lintegral_congr_ae]
apply EventuallyEq.symm
exact aeSeq.aeSeq_n_eq_fun_n_ae hf hp _
#align measure_theory.lintegral_supr_directed MeasureTheory.lintegral_iSup_directed
end
theorem lintegral_tsum [Countable β] {f : β → α → ℝ≥0∞} (hf : ∀ i, AEMeasurable (f i) μ) :
∫⁻ a, ∑' i, f i a ∂μ = ∑' i, ∫⁻ a, f i a ∂μ := by
simp only [ENNReal.tsum_eq_iSup_sum]
rw [lintegral_iSup_directed]
· simp [lintegral_finset_sum' _ fun i _ => hf i]
· intro b
exact Finset.aemeasurable_sum _ fun i _ => hf i
· intro s t
use s ∪ t
constructor
· exact fun a => Finset.sum_le_sum_of_subset Finset.subset_union_left
· exact fun a => Finset.sum_le_sum_of_subset Finset.subset_union_right
#align measure_theory.lintegral_tsum MeasureTheory.lintegral_tsum
open Measure
theorem lintegral_iUnion₀ [Countable β] {s : β → Set α} (hm : ∀ i, NullMeasurableSet (s i) μ)
(hd : Pairwise (AEDisjoint μ on s)) (f : α → ℝ≥0∞) :
∫⁻ a in ⋃ i, s i, f a ∂μ = ∑' i, ∫⁻ a in s i, f a ∂μ := by
simp only [Measure.restrict_iUnion_ae hd hm, lintegral_sum_measure]
#align measure_theory.lintegral_Union₀ MeasureTheory.lintegral_iUnion₀
theorem lintegral_iUnion [Countable β] {s : β → Set α} (hm : ∀ i, MeasurableSet (s i))
(hd : Pairwise (Disjoint on s)) (f : α → ℝ≥0∞) :
∫⁻ a in ⋃ i, s i, f a ∂μ = ∑' i, ∫⁻ a in s i, f a ∂μ :=
lintegral_iUnion₀ (fun i => (hm i).nullMeasurableSet) hd.aedisjoint f
#align measure_theory.lintegral_Union MeasureTheory.lintegral_iUnion
theorem lintegral_biUnion₀ {t : Set β} {s : β → Set α} (ht : t.Countable)
(hm : ∀ i ∈ t, NullMeasurableSet (s i) μ) (hd : t.Pairwise (AEDisjoint μ on s)) (f : α → ℝ≥0∞) :
∫⁻ a in ⋃ i ∈ t, s i, f a ∂μ = ∑' i : t, ∫⁻ a in s i, f a ∂μ := by
haveI := ht.toEncodable
rw [biUnion_eq_iUnion, lintegral_iUnion₀ (SetCoe.forall'.1 hm) (hd.subtype _ _)]
#align measure_theory.lintegral_bUnion₀ MeasureTheory.lintegral_biUnion₀
theorem lintegral_biUnion {t : Set β} {s : β → Set α} (ht : t.Countable)
(hm : ∀ i ∈ t, MeasurableSet (s i)) (hd : t.PairwiseDisjoint s) (f : α → ℝ≥0∞) :
∫⁻ a in ⋃ i ∈ t, s i, f a ∂μ = ∑' i : t, ∫⁻ a in s i, f a ∂μ :=
lintegral_biUnion₀ ht (fun i hi => (hm i hi).nullMeasurableSet) hd.aedisjoint f
#align measure_theory.lintegral_bUnion MeasureTheory.lintegral_biUnion
theorem lintegral_biUnion_finset₀ {s : Finset β} {t : β → Set α}
(hd : Set.Pairwise (↑s) (AEDisjoint μ on t)) (hm : ∀ b ∈ s, NullMeasurableSet (t b) μ)
(f : α → ℝ≥0∞) : ∫⁻ a in ⋃ b ∈ s, t b, f a ∂μ = ∑ b ∈ s, ∫⁻ a in t b, f a ∂μ := by
simp only [← Finset.mem_coe, lintegral_biUnion₀ s.countable_toSet hm hd, ← Finset.tsum_subtype']
#align measure_theory.lintegral_bUnion_finset₀ MeasureTheory.lintegral_biUnion_finset₀
theorem lintegral_biUnion_finset {s : Finset β} {t : β → Set α} (hd : Set.PairwiseDisjoint (↑s) t)
(hm : ∀ b ∈ s, MeasurableSet (t b)) (f : α → ℝ≥0∞) :
∫⁻ a in ⋃ b ∈ s, t b, f a ∂μ = ∑ b ∈ s, ∫⁻ a in t b, f a ∂μ :=
lintegral_biUnion_finset₀ hd.aedisjoint (fun b hb => (hm b hb).nullMeasurableSet) f
#align measure_theory.lintegral_bUnion_finset MeasureTheory.lintegral_biUnion_finset
theorem lintegral_iUnion_le [Countable β] (s : β → Set α) (f : α → ℝ≥0∞) :
∫⁻ a in ⋃ i, s i, f a ∂μ ≤ ∑' i, ∫⁻ a in s i, f a ∂μ := by
rw [← lintegral_sum_measure]
exact lintegral_mono' restrict_iUnion_le le_rfl
#align measure_theory.lintegral_Union_le MeasureTheory.lintegral_iUnion_le
theorem lintegral_union {f : α → ℝ≥0∞} {A B : Set α} (hB : MeasurableSet B) (hAB : Disjoint A B) :
∫⁻ a in A ∪ B, f a ∂μ = ∫⁻ a in A, f a ∂μ + ∫⁻ a in B, f a ∂μ := by
rw [restrict_union hAB hB, lintegral_add_measure]
#align measure_theory.lintegral_union MeasureTheory.lintegral_union
theorem lintegral_union_le (f : α → ℝ≥0∞) (s t : Set α) :
∫⁻ a in s ∪ t, f a ∂μ ≤ ∫⁻ a in s, f a ∂μ + ∫⁻ a in t, f a ∂μ := by
rw [← lintegral_add_measure]
exact lintegral_mono' (restrict_union_le _ _) le_rfl
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 1,358 | 1,360 | theorem lintegral_inter_add_diff {B : Set α} (f : α → ℝ≥0∞) (A : Set α) (hB : MeasurableSet B) :
∫⁻ x in A ∩ B, f x ∂μ + ∫⁻ x in A \ B, f x ∂μ = ∫⁻ x in A, f x ∂μ := by |
rw [← lintegral_add_measure, restrict_inter_add_diff _ hB]
|
import Mathlib.Data.Real.Sqrt
import Mathlib.Analysis.NormedSpace.Star.Basic
import Mathlib.Analysis.NormedSpace.ContinuousLinearMap
import Mathlib.Analysis.NormedSpace.Basic
#align_import data.is_R_or_C.basic from "leanprover-community/mathlib"@"baa88307f3e699fa7054ef04ec79fa4f056169cb"
section
local notation "𝓚" => algebraMap ℝ _
open ComplexConjugate
class RCLike (K : semiOutParam Type*) extends DenselyNormedField K, StarRing K,
NormedAlgebra ℝ K, CompleteSpace K where
re : K →+ ℝ
im : K →+ ℝ
I : K
I_re_ax : re I = 0
I_mul_I_ax : I = 0 ∨ I * I = -1
re_add_im_ax : ∀ z : K, 𝓚 (re z) + 𝓚 (im z) * I = z
ofReal_re_ax : ∀ r : ℝ, re (𝓚 r) = r
ofReal_im_ax : ∀ r : ℝ, im (𝓚 r) = 0
mul_re_ax : ∀ z w : K, re (z * w) = re z * re w - im z * im w
mul_im_ax : ∀ z w : K, im (z * w) = re z * im w + im z * re w
conj_re_ax : ∀ z : K, re (conj z) = re z
conj_im_ax : ∀ z : K, im (conj z) = -im z
conj_I_ax : conj I = -I
norm_sq_eq_def_ax : ∀ z : K, ‖z‖ ^ 2 = re z * re z + im z * im z
mul_im_I_ax : ∀ z : K, im z * im I = im z
[toPartialOrder : PartialOrder K]
le_iff_re_im {z w : K} : z ≤ w ↔ re z ≤ re w ∧ im z = im w
-- note we cannot put this in the `extends` clause
[toDecidableEq : DecidableEq K]
#align is_R_or_C RCLike
scoped[ComplexOrder] attribute [instance 100] RCLike.toPartialOrder
attribute [instance 100] RCLike.toDecidableEq
end
variable {K E : Type*} [RCLike K]
namespace RCLike
open ComplexConjugate
@[coe] abbrev ofReal : ℝ → K := Algebra.cast
noncomputable instance (priority := 900) algebraMapCoe : CoeTC ℝ K :=
⟨ofReal⟩
#align is_R_or_C.algebra_map_coe RCLike.algebraMapCoe
theorem ofReal_alg (x : ℝ) : (x : K) = x • (1 : K) :=
Algebra.algebraMap_eq_smul_one x
#align is_R_or_C.of_real_alg RCLike.ofReal_alg
theorem real_smul_eq_coe_mul (r : ℝ) (z : K) : r • z = (r : K) * z :=
Algebra.smul_def r z
#align is_R_or_C.real_smul_eq_coe_mul RCLike.real_smul_eq_coe_mul
theorem real_smul_eq_coe_smul [AddCommGroup E] [Module K E] [Module ℝ E] [IsScalarTower ℝ K E]
(r : ℝ) (x : E) : r • x = (r : K) • x := by rw [RCLike.ofReal_alg, smul_one_smul]
#align is_R_or_C.real_smul_eq_coe_smul RCLike.real_smul_eq_coe_smul
theorem algebraMap_eq_ofReal : ⇑(algebraMap ℝ K) = ofReal :=
rfl
#align is_R_or_C.algebra_map_eq_of_real RCLike.algebraMap_eq_ofReal
@[simp, rclike_simps]
theorem re_add_im (z : K) : (re z : K) + im z * I = z :=
RCLike.re_add_im_ax z
#align is_R_or_C.re_add_im RCLike.re_add_im
@[simp, norm_cast, rclike_simps]
theorem ofReal_re : ∀ r : ℝ, re (r : K) = r :=
RCLike.ofReal_re_ax
#align is_R_or_C.of_real_re RCLike.ofReal_re
@[simp, norm_cast, rclike_simps]
theorem ofReal_im : ∀ r : ℝ, im (r : K) = 0 :=
RCLike.ofReal_im_ax
#align is_R_or_C.of_real_im RCLike.ofReal_im
@[simp, rclike_simps]
theorem mul_re : ∀ z w : K, re (z * w) = re z * re w - im z * im w :=
RCLike.mul_re_ax
#align is_R_or_C.mul_re RCLike.mul_re
@[simp, rclike_simps]
theorem mul_im : ∀ z w : K, im (z * w) = re z * im w + im z * re w :=
RCLike.mul_im_ax
#align is_R_or_C.mul_im RCLike.mul_im
theorem ext_iff {z w : K} : z = w ↔ re z = re w ∧ im z = im w :=
⟨fun h => h ▸ ⟨rfl, rfl⟩, fun ⟨h₁, h₂⟩ => re_add_im z ▸ re_add_im w ▸ h₁ ▸ h₂ ▸ rfl⟩
#align is_R_or_C.ext_iff RCLike.ext_iff
theorem ext {z w : K} (hre : re z = re w) (him : im z = im w) : z = w :=
ext_iff.2 ⟨hre, him⟩
#align is_R_or_C.ext RCLike.ext
@[norm_cast]
theorem ofReal_zero : ((0 : ℝ) : K) = 0 :=
algebraMap.coe_zero
#align is_R_or_C.of_real_zero RCLike.ofReal_zero
@[rclike_simps]
theorem zero_re' : re (0 : K) = (0 : ℝ) :=
map_zero re
#align is_R_or_C.zero_re' RCLike.zero_re'
@[norm_cast]
theorem ofReal_one : ((1 : ℝ) : K) = 1 :=
map_one (algebraMap ℝ K)
#align is_R_or_C.of_real_one RCLike.ofReal_one
@[simp, rclike_simps]
theorem one_re : re (1 : K) = 1 := by rw [← ofReal_one, ofReal_re]
#align is_R_or_C.one_re RCLike.one_re
@[simp, rclike_simps]
theorem one_im : im (1 : K) = 0 := by rw [← ofReal_one, ofReal_im]
#align is_R_or_C.one_im RCLike.one_im
theorem ofReal_injective : Function.Injective ((↑) : ℝ → K) :=
(algebraMap ℝ K).injective
#align is_R_or_C.of_real_injective RCLike.ofReal_injective
@[norm_cast]
theorem ofReal_inj {z w : ℝ} : (z : K) = (w : K) ↔ z = w :=
algebraMap.coe_inj
#align is_R_or_C.of_real_inj RCLike.ofReal_inj
-- replaced by `RCLike.ofNat_re`
#noalign is_R_or_C.bit0_re
#noalign is_R_or_C.bit1_re
-- replaced by `RCLike.ofNat_im`
#noalign is_R_or_C.bit0_im
#noalign is_R_or_C.bit1_im
theorem ofReal_eq_zero {x : ℝ} : (x : K) = 0 ↔ x = 0 :=
algebraMap.lift_map_eq_zero_iff x
#align is_R_or_C.of_real_eq_zero RCLike.ofReal_eq_zero
theorem ofReal_ne_zero {x : ℝ} : (x : K) ≠ 0 ↔ x ≠ 0 :=
ofReal_eq_zero.not
#align is_R_or_C.of_real_ne_zero RCLike.ofReal_ne_zero
@[simp, rclike_simps, norm_cast]
theorem ofReal_add (r s : ℝ) : ((r + s : ℝ) : K) = r + s :=
algebraMap.coe_add _ _
#align is_R_or_C.of_real_add RCLike.ofReal_add
-- replaced by `RCLike.ofReal_ofNat`
#noalign is_R_or_C.of_real_bit0
#noalign is_R_or_C.of_real_bit1
@[simp, norm_cast, rclike_simps]
theorem ofReal_neg (r : ℝ) : ((-r : ℝ) : K) = -r :=
algebraMap.coe_neg r
#align is_R_or_C.of_real_neg RCLike.ofReal_neg
@[simp, norm_cast, rclike_simps]
theorem ofReal_sub (r s : ℝ) : ((r - s : ℝ) : K) = r - s :=
map_sub (algebraMap ℝ K) r s
#align is_R_or_C.of_real_sub RCLike.ofReal_sub
@[simp, rclike_simps, norm_cast]
theorem ofReal_sum {α : Type*} (s : Finset α) (f : α → ℝ) :
((∑ i ∈ s, f i : ℝ) : K) = ∑ i ∈ s, (f i : K) :=
map_sum (algebraMap ℝ K) _ _
#align is_R_or_C.of_real_sum RCLike.ofReal_sum
@[simp, rclike_simps, norm_cast]
theorem ofReal_finsupp_sum {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) :
((f.sum fun a b => g a b : ℝ) : K) = f.sum fun a b => (g a b : K) :=
map_finsupp_sum (algebraMap ℝ K) f g
#align is_R_or_C.of_real_finsupp_sum RCLike.ofReal_finsupp_sum
@[simp, norm_cast, rclike_simps]
theorem ofReal_mul (r s : ℝ) : ((r * s : ℝ) : K) = r * s :=
algebraMap.coe_mul _ _
#align is_R_or_C.of_real_mul RCLike.ofReal_mul
@[simp, norm_cast, rclike_simps]
theorem ofReal_pow (r : ℝ) (n : ℕ) : ((r ^ n : ℝ) : K) = (r : K) ^ n :=
map_pow (algebraMap ℝ K) r n
#align is_R_or_C.of_real_pow RCLike.ofReal_pow
@[simp, rclike_simps, norm_cast]
theorem ofReal_prod {α : Type*} (s : Finset α) (f : α → ℝ) :
((∏ i ∈ s, f i : ℝ) : K) = ∏ i ∈ s, (f i : K) :=
map_prod (algebraMap ℝ K) _ _
#align is_R_or_C.of_real_prod RCLike.ofReal_prod
@[simp, rclike_simps, norm_cast]
theorem ofReal_finsupp_prod {α M : Type*} [Zero M] (f : α →₀ M) (g : α → M → ℝ) :
((f.prod fun a b => g a b : ℝ) : K) = f.prod fun a b => (g a b : K) :=
map_finsupp_prod _ f g
#align is_R_or_C.of_real_finsupp_prod RCLike.ofReal_finsupp_prod
@[simp, norm_cast, rclike_simps]
theorem real_smul_ofReal (r x : ℝ) : r • (x : K) = (r : K) * (x : K) :=
real_smul_eq_coe_mul _ _
#align is_R_or_C.real_smul_of_real RCLike.real_smul_ofReal
@[rclike_simps]
theorem re_ofReal_mul (r : ℝ) (z : K) : re (↑r * z) = r * re z := by
simp only [mul_re, ofReal_im, zero_mul, ofReal_re, sub_zero]
#align is_R_or_C.of_real_mul_re RCLike.re_ofReal_mul
@[rclike_simps]
theorem im_ofReal_mul (r : ℝ) (z : K) : im (↑r * z) = r * im z := by
simp only [add_zero, ofReal_im, zero_mul, ofReal_re, mul_im]
#align is_R_or_C.of_real_mul_im RCLike.im_ofReal_mul
@[rclike_simps]
theorem smul_re (r : ℝ) (z : K) : re (r • z) = r * re z := by
rw [real_smul_eq_coe_mul, re_ofReal_mul]
#align is_R_or_C.smul_re RCLike.smul_re
@[rclike_simps]
theorem smul_im (r : ℝ) (z : K) : im (r • z) = r * im z := by
rw [real_smul_eq_coe_mul, im_ofReal_mul]
#align is_R_or_C.smul_im RCLike.smul_im
@[simp, norm_cast, rclike_simps]
theorem norm_ofReal (r : ℝ) : ‖(r : K)‖ = |r| :=
norm_algebraMap' K r
#align is_R_or_C.norm_of_real RCLike.norm_ofReal
-- see Note [lower instance priority]
instance (priority := 100) charZero_rclike : CharZero K :=
(RingHom.charZero_iff (algebraMap ℝ K).injective).1 inferInstance
set_option linter.uppercaseLean3 false in
#align is_R_or_C.char_zero_R_or_C RCLike.charZero_rclike
@[simp, rclike_simps]
theorem I_re : re (I : K) = 0 :=
I_re_ax
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_re RCLike.I_re
@[simp, rclike_simps]
theorem I_im (z : K) : im z * im (I : K) = im z :=
mul_im_I_ax z
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_im RCLike.I_im
@[simp, rclike_simps]
theorem I_im' (z : K) : im (I : K) * im z = im z := by rw [mul_comm, I_im]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_im' RCLike.I_im'
@[rclike_simps] -- porting note (#10618): was `simp`
theorem I_mul_re (z : K) : re (I * z) = -im z := by
simp only [I_re, zero_sub, I_im', zero_mul, mul_re]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_mul_re RCLike.I_mul_re
theorem I_mul_I : (I : K) = 0 ∨ (I : K) * I = -1 :=
I_mul_I_ax
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_mul_I RCLike.I_mul_I
variable (𝕜) in
lemma I_eq_zero_or_im_I_eq_one : (I : K) = 0 ∨ im (I : K) = 1 :=
I_mul_I (K := K) |>.imp_right fun h ↦ by simpa [h] using (I_mul_re (I : K)).symm
@[simp, rclike_simps]
theorem conj_re (z : K) : re (conj z) = re z :=
RCLike.conj_re_ax z
#align is_R_or_C.conj_re RCLike.conj_re
@[simp, rclike_simps]
theorem conj_im (z : K) : im (conj z) = -im z :=
RCLike.conj_im_ax z
#align is_R_or_C.conj_im RCLike.conj_im
@[simp, rclike_simps]
theorem conj_I : conj (I : K) = -I :=
RCLike.conj_I_ax
set_option linter.uppercaseLean3 false in
#align is_R_or_C.conj_I RCLike.conj_I
@[simp, rclike_simps]
theorem conj_ofReal (r : ℝ) : conj (r : K) = (r : K) := by
rw [ext_iff]
simp only [ofReal_im, conj_im, eq_self_iff_true, conj_re, and_self_iff, neg_zero]
#align is_R_or_C.conj_of_real RCLike.conj_ofReal
-- replaced by `RCLike.conj_ofNat`
#noalign is_R_or_C.conj_bit0
#noalign is_R_or_C.conj_bit1
theorem conj_nat_cast (n : ℕ) : conj (n : K) = n := map_natCast _ _
-- See note [no_index around OfNat.ofNat]
theorem conj_ofNat (n : ℕ) [n.AtLeastTwo] : conj (no_index (OfNat.ofNat n : K)) = OfNat.ofNat n :=
map_ofNat _ _
@[rclike_simps] -- Porting note (#10618): was a `simp` but `simp` can prove it
theorem conj_neg_I : conj (-I) = (I : K) := by rw [map_neg, conj_I, neg_neg]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.conj_neg_I RCLike.conj_neg_I
theorem conj_eq_re_sub_im (z : K) : conj z = re z - im z * I :=
(congr_arg conj (re_add_im z).symm).trans <| by
rw [map_add, map_mul, conj_I, conj_ofReal, conj_ofReal, mul_neg, sub_eq_add_neg]
#align is_R_or_C.conj_eq_re_sub_im RCLike.conj_eq_re_sub_im
theorem sub_conj (z : K) : z - conj z = 2 * im z * I :=
calc
z - conj z = re z + im z * I - (re z - im z * I) := by rw [re_add_im, ← conj_eq_re_sub_im]
_ = 2 * im z * I := by rw [add_sub_sub_cancel, ← two_mul, mul_assoc]
#align is_R_or_C.sub_conj RCLike.sub_conj
@[rclike_simps]
theorem conj_smul (r : ℝ) (z : K) : conj (r • z) = r • conj z := by
rw [conj_eq_re_sub_im, conj_eq_re_sub_im, smul_re, smul_im, ofReal_mul, ofReal_mul,
real_smul_eq_coe_mul r (_ - _), mul_sub, mul_assoc]
#align is_R_or_C.conj_smul RCLike.conj_smul
theorem add_conj (z : K) : z + conj z = 2 * re z :=
calc
z + conj z = re z + im z * I + (re z - im z * I) := by rw [re_add_im, conj_eq_re_sub_im]
_ = 2 * re z := by rw [add_add_sub_cancel, two_mul]
#align is_R_or_C.add_conj RCLike.add_conj
theorem re_eq_add_conj (z : K) : ↑(re z) = (z + conj z) / 2 := by
rw [add_conj, mul_div_cancel_left₀ (re z : K) two_ne_zero]
#align is_R_or_C.re_eq_add_conj RCLike.re_eq_add_conj
theorem im_eq_conj_sub (z : K) : ↑(im z) = I * (conj z - z) / 2 := by
rw [← neg_inj, ← ofReal_neg, ← I_mul_re, re_eq_add_conj, map_mul, conj_I, ← neg_div, ← mul_neg,
neg_sub, mul_sub, neg_mul, sub_eq_add_neg]
#align is_R_or_C.im_eq_conj_sub RCLike.im_eq_conj_sub
open List in
theorem is_real_TFAE (z : K) : TFAE [conj z = z, ∃ r : ℝ, (r : K) = z, ↑(re z) = z, im z = 0] := by
tfae_have 1 → 4
· intro h
rw [← @ofReal_inj K, im_eq_conj_sub, h, sub_self, mul_zero, zero_div,
ofReal_zero]
tfae_have 4 → 3
· intro h
conv_rhs => rw [← re_add_im z, h, ofReal_zero, zero_mul, add_zero]
tfae_have 3 → 2
· exact fun h => ⟨_, h⟩
tfae_have 2 → 1
· exact fun ⟨r, hr⟩ => hr ▸ conj_ofReal _
tfae_finish
#align is_R_or_C.is_real_tfae RCLike.is_real_TFAE
theorem conj_eq_iff_real {z : K} : conj z = z ↔ ∃ r : ℝ, z = (r : K) :=
((is_real_TFAE z).out 0 1).trans <| by simp only [eq_comm]
#align is_R_or_C.conj_eq_iff_real RCLike.conj_eq_iff_real
theorem conj_eq_iff_re {z : K} : conj z = z ↔ (re z : K) = z :=
(is_real_TFAE z).out 0 2
#align is_R_or_C.conj_eq_iff_re RCLike.conj_eq_iff_re
theorem conj_eq_iff_im {z : K} : conj z = z ↔ im z = 0 :=
(is_real_TFAE z).out 0 3
#align is_R_or_C.conj_eq_iff_im RCLike.conj_eq_iff_im
@[simp]
theorem star_def : (Star.star : K → K) = conj :=
rfl
#align is_R_or_C.star_def RCLike.star_def
variable (K)
abbrev conjToRingEquiv : K ≃+* Kᵐᵒᵖ :=
starRingEquiv
#align is_R_or_C.conj_to_ring_equiv RCLike.conjToRingEquiv
variable {K} {z : K}
def normSq : K →*₀ ℝ where
toFun z := re z * re z + im z * im z
map_zero' := by simp only [add_zero, mul_zero, map_zero]
map_one' := by simp only [one_im, add_zero, mul_one, one_re, mul_zero]
map_mul' z w := by
simp only [mul_im, mul_re]
ring
#align is_R_or_C.norm_sq RCLike.normSq
theorem normSq_apply (z : K) : normSq z = re z * re z + im z * im z :=
rfl
#align is_R_or_C.norm_sq_apply RCLike.normSq_apply
theorem norm_sq_eq_def {z : K} : ‖z‖ ^ 2 = re z * re z + im z * im z :=
norm_sq_eq_def_ax z
#align is_R_or_C.norm_sq_eq_def RCLike.norm_sq_eq_def
theorem normSq_eq_def' (z : K) : normSq z = ‖z‖ ^ 2 :=
norm_sq_eq_def.symm
#align is_R_or_C.norm_sq_eq_def' RCLike.normSq_eq_def'
@[rclike_simps]
theorem normSq_zero : normSq (0 : K) = 0 :=
normSq.map_zero
#align is_R_or_C.norm_sq_zero RCLike.normSq_zero
@[rclike_simps]
theorem normSq_one : normSq (1 : K) = 1 :=
normSq.map_one
#align is_R_or_C.norm_sq_one RCLike.normSq_one
theorem normSq_nonneg (z : K) : 0 ≤ normSq z :=
add_nonneg (mul_self_nonneg _) (mul_self_nonneg _)
#align is_R_or_C.norm_sq_nonneg RCLike.normSq_nonneg
@[rclike_simps] -- porting note (#10618): was `simp`
theorem normSq_eq_zero {z : K} : normSq z = 0 ↔ z = 0 :=
map_eq_zero _
#align is_R_or_C.norm_sq_eq_zero RCLike.normSq_eq_zero
@[simp, rclike_simps]
theorem normSq_pos {z : K} : 0 < normSq z ↔ z ≠ 0 := by
rw [lt_iff_le_and_ne, Ne, eq_comm]; simp [normSq_nonneg]
#align is_R_or_C.norm_sq_pos RCLike.normSq_pos
@[simp, rclike_simps]
theorem normSq_neg (z : K) : normSq (-z) = normSq z := by simp only [normSq_eq_def', norm_neg]
#align is_R_or_C.norm_sq_neg RCLike.normSq_neg
@[simp, rclike_simps]
theorem normSq_conj (z : K) : normSq (conj z) = normSq z := by
simp only [normSq_apply, neg_mul, mul_neg, neg_neg, rclike_simps]
#align is_R_or_C.norm_sq_conj RCLike.normSq_conj
@[rclike_simps] -- porting note (#10618): was `simp`
theorem normSq_mul (z w : K) : normSq (z * w) = normSq z * normSq w :=
map_mul _ z w
#align is_R_or_C.norm_sq_mul RCLike.normSq_mul
theorem normSq_add (z w : K) : normSq (z + w) = normSq z + normSq w + 2 * re (z * conj w) := by
simp only [normSq_apply, map_add, rclike_simps]
ring
#align is_R_or_C.norm_sq_add RCLike.normSq_add
theorem re_sq_le_normSq (z : K) : re z * re z ≤ normSq z :=
le_add_of_nonneg_right (mul_self_nonneg _)
#align is_R_or_C.re_sq_le_norm_sq RCLike.re_sq_le_normSq
theorem im_sq_le_normSq (z : K) : im z * im z ≤ normSq z :=
le_add_of_nonneg_left (mul_self_nonneg _)
#align is_R_or_C.im_sq_le_norm_sq RCLike.im_sq_le_normSq
theorem mul_conj (z : K) : z * conj z = ‖z‖ ^ 2 := by
apply ext <;> simp [← ofReal_pow, norm_sq_eq_def, mul_comm]
#align is_R_or_C.mul_conj RCLike.mul_conj
theorem conj_mul (z : K) : conj z * z = ‖z‖ ^ 2 := by rw [mul_comm, mul_conj]
#align is_R_or_C.conj_mul RCLike.conj_mul
lemma inv_eq_conj (hz : ‖z‖ = 1) : z⁻¹ = conj z :=
inv_eq_of_mul_eq_one_left $ by simp_rw [conj_mul, hz, algebraMap.coe_one, one_pow]
theorem normSq_sub (z w : K) : normSq (z - w) = normSq z + normSq w - 2 * re (z * conj w) := by
simp only [normSq_add, sub_eq_add_neg, map_neg, mul_neg, normSq_neg, map_neg]
#align is_R_or_C.norm_sq_sub RCLike.normSq_sub
theorem sqrt_normSq_eq_norm {z : K} : √(normSq z) = ‖z‖ := by
rw [normSq_eq_def', Real.sqrt_sq (norm_nonneg _)]
#align is_R_or_C.sqrt_norm_sq_eq_norm RCLike.sqrt_normSq_eq_norm
@[simp, norm_cast, rclike_simps]
theorem ofReal_inv (r : ℝ) : ((r⁻¹ : ℝ) : K) = (r : K)⁻¹ :=
map_inv₀ _ r
#align is_R_or_C.of_real_inv RCLike.ofReal_inv
theorem inv_def (z : K) : z⁻¹ = conj z * ((‖z‖ ^ 2)⁻¹ : ℝ) := by
rcases eq_or_ne z 0 with (rfl | h₀)
· simp
· apply inv_eq_of_mul_eq_one_right
rw [← mul_assoc, mul_conj, ofReal_inv, ofReal_pow, mul_inv_cancel]
simpa
#align is_R_or_C.inv_def RCLike.inv_def
@[simp, rclike_simps]
theorem inv_re (z : K) : re z⁻¹ = re z / normSq z := by
rw [inv_def, normSq_eq_def', mul_comm, re_ofReal_mul, conj_re, div_eq_inv_mul]
#align is_R_or_C.inv_re RCLike.inv_re
@[simp, rclike_simps]
theorem inv_im (z : K) : im z⁻¹ = -im z / normSq z := by
rw [inv_def, normSq_eq_def', mul_comm, im_ofReal_mul, conj_im, div_eq_inv_mul]
#align is_R_or_C.inv_im RCLike.inv_im
theorem div_re (z w : K) : re (z / w) = re z * re w / normSq w + im z * im w / normSq w := by
simp only [div_eq_mul_inv, mul_assoc, sub_eq_add_neg, neg_mul, mul_neg, neg_neg, map_neg,
rclike_simps]
#align is_R_or_C.div_re RCLike.div_re
theorem div_im (z w : K) : im (z / w) = im z * re w / normSq w - re z * im w / normSq w := by
simp only [div_eq_mul_inv, mul_assoc, sub_eq_add_neg, add_comm, neg_mul, mul_neg, map_neg,
rclike_simps]
#align is_R_or_C.div_im RCLike.div_im
@[rclike_simps] -- porting note (#10618): was `simp`
theorem conj_inv (x : K) : conj x⁻¹ = (conj x)⁻¹ :=
star_inv' _
#align is_R_or_C.conj_inv RCLike.conj_inv
lemma conj_div (x y : K) : conj (x / y) = conj x / conj y := map_div' conj conj_inv _ _
--TODO: Do we rather want the map as an explicit definition?
lemma exists_norm_eq_mul_self (x : K) : ∃ c, ‖c‖ = 1 ∧ ↑‖x‖ = c * x := by
obtain rfl | hx := eq_or_ne x 0
· exact ⟨1, by simp⟩
· exact ⟨‖x‖ / x, by simp [norm_ne_zero_iff.2, hx]⟩
lemma exists_norm_mul_eq_self (x : K) : ∃ c, ‖c‖ = 1 ∧ c * ‖x‖ = x := by
obtain rfl | hx := eq_or_ne x 0
· exact ⟨1, by simp⟩
· exact ⟨x / ‖x‖, by simp [norm_ne_zero_iff.2, hx]⟩
@[simp, norm_cast, rclike_simps]
theorem ofReal_div (r s : ℝ) : ((r / s : ℝ) : K) = r / s :=
map_div₀ (algebraMap ℝ K) r s
#align is_R_or_C.of_real_div RCLike.ofReal_div
theorem div_re_ofReal {z : K} {r : ℝ} : re (z / r) = re z / r := by
rw [div_eq_inv_mul, div_eq_inv_mul, ← ofReal_inv, re_ofReal_mul]
#align is_R_or_C.div_re_of_real RCLike.div_re_ofReal
@[simp, norm_cast, rclike_simps]
theorem ofReal_zpow (r : ℝ) (n : ℤ) : ((r ^ n : ℝ) : K) = (r : K) ^ n :=
map_zpow₀ (algebraMap ℝ K) r n
#align is_R_or_C.of_real_zpow RCLike.ofReal_zpow
theorem I_mul_I_of_nonzero : (I : K) ≠ 0 → (I : K) * I = -1 :=
I_mul_I_ax.resolve_left
set_option linter.uppercaseLean3 false in
#align is_R_or_C.I_mul_I_of_nonzero RCLike.I_mul_I_of_nonzero
@[simp, rclike_simps]
theorem inv_I : (I : K)⁻¹ = -I := by
by_cases h : (I : K) = 0
· simp [h]
· field_simp [I_mul_I_of_nonzero h]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.inv_I RCLike.inv_I
@[simp, rclike_simps]
theorem div_I (z : K) : z / I = -(z * I) := by rw [div_eq_mul_inv, inv_I, mul_neg]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.div_I RCLike.div_I
@[rclike_simps] -- porting note (#10618): was `simp`
theorem normSq_inv (z : K) : normSq z⁻¹ = (normSq z)⁻¹ :=
map_inv₀ normSq z
#align is_R_or_C.norm_sq_inv RCLike.normSq_inv
@[rclike_simps] -- porting note (#10618): was `simp`
theorem normSq_div (z w : K) : normSq (z / w) = normSq z / normSq w :=
map_div₀ normSq z w
#align is_R_or_C.norm_sq_div RCLike.normSq_div
@[rclike_simps] -- porting note (#10618): was `simp`
theorem norm_conj {z : K} : ‖conj z‖ = ‖z‖ := by simp only [← sqrt_normSq_eq_norm, normSq_conj]
#align is_R_or_C.norm_conj RCLike.norm_conj
instance (priority := 100) : CstarRing K where
norm_star_mul_self {x} := (norm_mul _ _).trans <| congr_arg (· * ‖x‖) norm_conj
@[simp, rclike_simps, norm_cast]
theorem ofReal_natCast (n : ℕ) : ((n : ℝ) : K) = n :=
map_natCast (algebraMap ℝ K) n
#align is_R_or_C.of_real_nat_cast RCLike.ofReal_natCast
@[simp, rclike_simps] -- Porting note: removed `norm_cast`
theorem natCast_re (n : ℕ) : re (n : K) = n := by rw [← ofReal_natCast, ofReal_re]
#align is_R_or_C.nat_cast_re RCLike.natCast_re
@[simp, rclike_simps, norm_cast]
theorem natCast_im (n : ℕ) : im (n : K) = 0 := by rw [← ofReal_natCast, ofReal_im]
#align is_R_or_C.nat_cast_im RCLike.natCast_im
-- See note [no_index around OfNat.ofNat]
@[simp, rclike_simps]
theorem ofNat_re (n : ℕ) [n.AtLeastTwo] : re (no_index (OfNat.ofNat n) : K) = OfNat.ofNat n :=
natCast_re n
-- See note [no_index around OfNat.ofNat]
@[simp, rclike_simps]
theorem ofNat_im (n : ℕ) [n.AtLeastTwo] : im (no_index (OfNat.ofNat n) : K) = 0 :=
natCast_im n
-- See note [no_index around OfNat.ofNat]
@[simp, rclike_simps, norm_cast]
theorem ofReal_ofNat (n : ℕ) [n.AtLeastTwo] :
((no_index (OfNat.ofNat n) : ℝ) : K) = OfNat.ofNat n :=
ofReal_natCast n
theorem ofNat_mul_re (n : ℕ) [n.AtLeastTwo] (z : K) :
re (OfNat.ofNat n * z) = OfNat.ofNat n * re z := by
rw [← ofReal_ofNat, re_ofReal_mul]
theorem ofNat_mul_im (n : ℕ) [n.AtLeastTwo] (z : K) :
im (OfNat.ofNat n * z) = OfNat.ofNat n * im z := by
rw [← ofReal_ofNat, im_ofReal_mul]
@[simp, rclike_simps, norm_cast]
theorem ofReal_intCast (n : ℤ) : ((n : ℝ) : K) = n :=
map_intCast _ n
#align is_R_or_C.of_real_int_cast RCLike.ofReal_intCast
@[simp, rclike_simps] -- Porting note: removed `norm_cast`
theorem intCast_re (n : ℤ) : re (n : K) = n := by rw [← ofReal_intCast, ofReal_re]
#align is_R_or_C.int_cast_re RCLike.intCast_re
@[simp, rclike_simps, norm_cast]
theorem intCast_im (n : ℤ) : im (n : K) = 0 := by rw [← ofReal_intCast, ofReal_im]
#align is_R_or_C.int_cast_im RCLike.intCast_im
@[simp, rclike_simps, norm_cast]
theorem ofReal_ratCast (n : ℚ) : ((n : ℝ) : K) = n :=
map_ratCast _ n
#align is_R_or_C.of_real_rat_cast RCLike.ofReal_ratCast
@[simp, rclike_simps] -- Porting note: removed `norm_cast`
theorem ratCast_re (q : ℚ) : re (q : K) = q := by rw [← ofReal_ratCast, ofReal_re]
#align is_R_or_C.rat_cast_re RCLike.ratCast_re
@[simp, rclike_simps, norm_cast]
theorem ratCast_im (q : ℚ) : im (q : K) = 0 := by rw [← ofReal_ratCast, ofReal_im]
#align is_R_or_C.rat_cast_im RCLike.ratCast_im
theorem norm_of_nonneg {r : ℝ} (h : 0 ≤ r) : ‖(r : K)‖ = r :=
(norm_ofReal _).trans (abs_of_nonneg h)
#align is_R_or_C.norm_of_nonneg RCLike.norm_of_nonneg
@[simp, rclike_simps, norm_cast]
theorem norm_natCast (n : ℕ) : ‖(n : K)‖ = n := by
rw [← ofReal_natCast]
exact norm_of_nonneg (Nat.cast_nonneg n)
#align is_R_or_C.norm_nat_cast RCLike.norm_natCast
@[simp, rclike_simps]
theorem norm_ofNat (n : ℕ) [n.AtLeastTwo] : ‖(no_index (OfNat.ofNat n) : K)‖ = OfNat.ofNat n :=
norm_natCast n
variable (K) in
lemma norm_nsmul [NormedAddCommGroup E] [NormedSpace K E] (n : ℕ) (x : E) : ‖n • x‖ = n • ‖x‖ := by
rw [nsmul_eq_smul_cast K, norm_smul, RCLike.norm_natCast, nsmul_eq_mul]
theorem mul_self_norm (z : K) : ‖z‖ * ‖z‖ = normSq z := by rw [normSq_eq_def', sq]
#align is_R_or_C.mul_self_norm RCLike.mul_self_norm
attribute [rclike_simps] norm_zero norm_one norm_eq_zero abs_norm norm_inv norm_div
-- Porting note: removed @[simp, rclike_simps], b/c generalized to `norm_ofNat`
theorem norm_two : ‖(2 : K)‖ = 2 := norm_ofNat 2
#align is_R_or_C.norm_two RCLike.norm_two
theorem abs_re_le_norm (z : K) : |re z| ≤ ‖z‖ := by
rw [mul_self_le_mul_self_iff (abs_nonneg _) (norm_nonneg _), abs_mul_abs_self, mul_self_norm]
apply re_sq_le_normSq
#align is_R_or_C.abs_re_le_norm RCLike.abs_re_le_norm
theorem abs_im_le_norm (z : K) : |im z| ≤ ‖z‖ := by
rw [mul_self_le_mul_self_iff (abs_nonneg _) (norm_nonneg _), abs_mul_abs_self, mul_self_norm]
apply im_sq_le_normSq
#align is_R_or_C.abs_im_le_norm RCLike.abs_im_le_norm
theorem norm_re_le_norm (z : K) : ‖re z‖ ≤ ‖z‖ :=
abs_re_le_norm z
#align is_R_or_C.norm_re_le_norm RCLike.norm_re_le_norm
theorem norm_im_le_norm (z : K) : ‖im z‖ ≤ ‖z‖ :=
abs_im_le_norm z
#align is_R_or_C.norm_im_le_norm RCLike.norm_im_le_norm
theorem re_le_norm (z : K) : re z ≤ ‖z‖ :=
(abs_le.1 (abs_re_le_norm z)).2
#align is_R_or_C.re_le_norm RCLike.re_le_norm
theorem im_le_norm (z : K) : im z ≤ ‖z‖ :=
(abs_le.1 (abs_im_le_norm _)).2
#align is_R_or_C.im_le_norm RCLike.im_le_norm
theorem im_eq_zero_of_le {a : K} (h : ‖a‖ ≤ re a) : im a = 0 := by
simpa only [mul_self_norm a, normSq_apply, self_eq_add_right, mul_self_eq_zero]
using congr_arg (fun z => z * z) ((re_le_norm a).antisymm h)
#align is_R_or_C.im_eq_zero_of_le RCLike.im_eq_zero_of_le
theorem re_eq_self_of_le {a : K} (h : ‖a‖ ≤ re a) : (re a : K) = a := by
rw [← conj_eq_iff_re, conj_eq_iff_im, im_eq_zero_of_le h]
#align is_R_or_C.re_eq_self_of_le RCLike.re_eq_self_of_le
open IsAbsoluteValue
theorem abs_re_div_norm_le_one (z : K) : |re z / ‖z‖| ≤ 1 := by
rw [abs_div, abs_norm]
exact div_le_one_of_le (abs_re_le_norm _) (norm_nonneg _)
#align is_R_or_C.abs_re_div_norm_le_one RCLike.abs_re_div_norm_le_one
theorem abs_im_div_norm_le_one (z : K) : |im z / ‖z‖| ≤ 1 := by
rw [abs_div, abs_norm]
exact div_le_one_of_le (abs_im_le_norm _) (norm_nonneg _)
#align is_R_or_C.abs_im_div_norm_le_one RCLike.abs_im_div_norm_le_one
theorem norm_I_of_ne_zero (hI : (I : K) ≠ 0) : ‖(I : K)‖ = 1 := by
rw [← mul_self_inj_of_nonneg (norm_nonneg I) zero_le_one, one_mul, ← norm_mul,
I_mul_I_of_nonzero hI, norm_neg, norm_one]
set_option linter.uppercaseLean3 false in
#align is_R_or_C.norm_I_of_ne_zero RCLike.norm_I_of_ne_zero
| Mathlib/Analysis/RCLike/Basic.lean | 774 | 775 | theorem re_eq_norm_of_mul_conj (x : K) : re (x * conj x) = ‖x * conj x‖ := by |
rw [mul_conj, ← ofReal_pow]; simp [-ofReal_pow]
|
import Mathlib.Analysis.SpecialFunctions.ExpDeriv
#align_import analysis.ODE.gronwall from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
open Metric Set Asymptotics Filter Real
open scoped Classical Topology NNReal
noncomputable def gronwallBound (δ K ε x : ℝ) : ℝ :=
if K = 0 then δ + ε * x else δ * exp (K * x) + ε / K * (exp (K * x) - 1)
#align gronwall_bound gronwallBound
theorem gronwallBound_K0 (δ ε : ℝ) : gronwallBound δ 0 ε = fun x => δ + ε * x :=
funext fun _ => if_pos rfl
set_option linter.uppercaseLean3 false in
#align gronwall_bound_K0 gronwallBound_K0
theorem gronwallBound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) :
gronwallBound δ K ε = fun x => δ * exp (K * x) + ε / K * (exp (K * x) - 1) :=
funext fun _ => if_neg hK
set_option linter.uppercaseLean3 false in
#align gronwall_bound_of_K_ne_0 gronwallBound_of_K_ne_0
theorem hasDerivAt_gronwallBound (δ K ε x : ℝ) :
HasDerivAt (gronwallBound δ K ε) (K * gronwallBound δ K ε x + ε) x := by
by_cases hK : K = 0
· subst K
simp only [gronwallBound_K0, zero_mul, zero_add]
convert ((hasDerivAt_id x).const_mul ε).const_add δ
rw [mul_one]
· simp only [gronwallBound_of_K_ne_0 hK]
convert (((hasDerivAt_id x).const_mul K).exp.const_mul δ).add
((((hasDerivAt_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1
simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel₀ _ hK]
ring
#align has_deriv_at_gronwall_bound hasDerivAt_gronwallBound
theorem hasDerivAt_gronwallBound_shift (δ K ε x a : ℝ) :
HasDerivAt (fun y => gronwallBound δ K ε (y - a)) (K * gronwallBound δ K ε (x - a) + ε) x := by
convert (hasDerivAt_gronwallBound δ K ε _).comp x ((hasDerivAt_id x).sub_const a) using 1
rw [id, mul_one]
#align has_deriv_at_gronwall_bound_shift hasDerivAt_gronwallBound_shift
theorem gronwallBound_x0 (δ K ε : ℝ) : gronwallBound δ K ε 0 = δ := by
by_cases hK : K = 0
· simp only [gronwallBound, if_pos hK, mul_zero, add_zero]
· simp only [gronwallBound, if_neg hK, mul_zero, exp_zero, sub_self, mul_one,
add_zero]
#align gronwall_bound_x0 gronwallBound_x0
theorem gronwallBound_ε0 (δ K x : ℝ) : gronwallBound δ K 0 x = δ * exp (K * x) := by
by_cases hK : K = 0
· simp only [gronwallBound_K0, hK, zero_mul, exp_zero, add_zero, mul_one]
· simp only [gronwallBound_of_K_ne_0 hK, zero_div, zero_mul, add_zero]
#align gronwall_bound_ε0 gronwallBound_ε0
theorem gronwallBound_ε0_δ0 (K x : ℝ) : gronwallBound 0 K 0 x = 0 := by
simp only [gronwallBound_ε0, zero_mul]
#align gronwall_bound_ε0_δ0 gronwallBound_ε0_δ0
| Mathlib/Analysis/ODE/Gronwall.lean | 96 | 101 | theorem gronwallBound_continuous_ε (δ K x : ℝ) : Continuous fun ε => gronwallBound δ K ε x := by |
by_cases hK : K = 0
· simp only [gronwallBound_K0, hK]
exact continuous_const.add (continuous_id.mul continuous_const)
· simp only [gronwallBound_of_K_ne_0 hK]
exact continuous_const.add ((continuous_id.mul continuous_const).mul continuous_const)
|
import Mathlib.Order.Hom.CompleteLattice
import Mathlib.Topology.Bases
import Mathlib.Topology.Homeomorph
import Mathlib.Topology.ContinuousFunction.Basic
import Mathlib.Order.CompactlyGenerated.Basic
import Mathlib.Order.Copy
#align_import topology.sets.opens from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
open Filter Function Order Set
open Topology
variable {ι α β γ : Type*} [TopologicalSpace α] [TopologicalSpace β] [TopologicalSpace γ]
namespace TopologicalSpace
variable (α)
structure Opens where
carrier : Set α
is_open' : IsOpen carrier
#align topological_space.opens TopologicalSpace.Opens
variable {α}
namespace Opens
instance : SetLike (Opens α) α where
coe := Opens.carrier
coe_injective' := fun ⟨_, _⟩ ⟨_, _⟩ _ => by congr
instance : CanLift (Set α) (Opens α) (↑) IsOpen :=
⟨fun s h => ⟨⟨s, h⟩, rfl⟩⟩
theorem «forall» {p : Opens α → Prop} : (∀ U, p U) ↔ ∀ (U : Set α) (hU : IsOpen U), p ⟨U, hU⟩ :=
⟨fun h _ _ => h _, fun h _ => h _ _⟩
#align topological_space.opens.forall TopologicalSpace.Opens.forall
@[simp] theorem carrier_eq_coe (U : Opens α) : U.1 = ↑U := rfl
#align topological_space.opens.carrier_eq_coe TopologicalSpace.Opens.carrier_eq_coe
@[simp]
theorem coe_mk {U : Set α} {hU : IsOpen U} : ↑(⟨U, hU⟩ : Opens α) = U :=
rfl
#align topological_space.opens.coe_mk TopologicalSpace.Opens.coe_mk
@[simp]
theorem mem_mk {x : α} {U : Set α} {h : IsOpen U} : x ∈ mk U h ↔ x ∈ U := Iff.rfl
#align topological_space.opens.mem_mk TopologicalSpace.Opens.mem_mk
-- Porting note: removed @[simp] because LHS simplifies to `∃ x, x ∈ U`
protected theorem nonempty_coeSort {U : Opens α} : Nonempty U ↔ (U : Set α).Nonempty :=
Set.nonempty_coe_sort
#align topological_space.opens.nonempty_coe_sort TopologicalSpace.Opens.nonempty_coeSort
-- Porting note (#10756): new lemma; todo: prove it for a `SetLike`?
protected theorem nonempty_coe {U : Opens α} : (U : Set α).Nonempty ↔ ∃ x, x ∈ U :=
Iff.rfl
@[ext] -- Porting note (#11215): TODO: replace with `∀ x, x ∈ U ↔ x ∈ V`
theorem ext {U V : Opens α} (h : (U : Set α) = V) : U = V :=
SetLike.coe_injective h
#align topological_space.opens.ext TopologicalSpace.Opens.ext
-- Porting note: removed @[simp], simp can prove it
theorem coe_inj {U V : Opens α} : (U : Set α) = V ↔ U = V :=
SetLike.ext'_iff.symm
#align topological_space.opens.coe_inj TopologicalSpace.Opens.coe_inj
protected theorem isOpen (U : Opens α) : IsOpen (U : Set α) :=
U.is_open'
#align topological_space.opens.is_open TopologicalSpace.Opens.isOpen
@[simp] theorem mk_coe (U : Opens α) : mk (↑U) U.isOpen = U := rfl
#align topological_space.opens.mk_coe TopologicalSpace.Opens.mk_coe
def Simps.coe (U : Opens α) : Set α := U
#align topological_space.opens.simps.coe TopologicalSpace.Opens.Simps.coe
initialize_simps_projections Opens (carrier → coe)
nonrec def interior (s : Set α) : Opens α :=
⟨interior s, isOpen_interior⟩
#align topological_space.opens.interior TopologicalSpace.Opens.interior
theorem gc : GaloisConnection ((↑) : Opens α → Set α) interior := fun U _ =>
⟨fun h => interior_maximal h U.isOpen, fun h => le_trans h interior_subset⟩
#align topological_space.opens.gc TopologicalSpace.Opens.gc
def gi : GaloisCoinsertion (↑) (@interior α _) where
choice s hs := ⟨s, interior_eq_iff_isOpen.mp <| le_antisymm interior_subset hs⟩
gc := gc
u_l_le _ := interior_subset
choice_eq _s hs := le_antisymm hs interior_subset
#align topological_space.opens.gi TopologicalSpace.Opens.gi
instance : CompleteLattice (Opens α) :=
CompleteLattice.copy (GaloisCoinsertion.liftCompleteLattice gi)
-- le
(fun U V => (U : Set α) ⊆ V) rfl
-- top
⟨univ, isOpen_univ⟩ (ext interior_univ.symm)
-- bot
⟨∅, isOpen_empty⟩ rfl
-- sup
(fun U V => ⟨↑U ∪ ↑V, U.2.union V.2⟩) rfl
-- inf
(fun U V => ⟨↑U ∩ ↑V, U.2.inter V.2⟩)
(funext₂ fun U V => ext (U.2.inter V.2).interior_eq.symm)
-- sSup
(fun S => ⟨⋃ s ∈ S, ↑s, isOpen_biUnion fun s _ => s.2⟩)
(funext fun _ => ext sSup_image.symm)
-- sInf
_ rfl
@[simp]
theorem mk_inf_mk {U V : Set α} {hU : IsOpen U} {hV : IsOpen V} :
(⟨U, hU⟩ ⊓ ⟨V, hV⟩ : Opens α) = ⟨U ⊓ V, IsOpen.inter hU hV⟩ :=
rfl
#align topological_space.opens.mk_inf_mk TopologicalSpace.Opens.mk_inf_mk
@[simp, norm_cast]
theorem coe_inf (s t : Opens α) : (↑(s ⊓ t) : Set α) = ↑s ∩ ↑t :=
rfl
#align topological_space.opens.coe_inf TopologicalSpace.Opens.coe_inf
@[simp, norm_cast]
theorem coe_sup (s t : Opens α) : (↑(s ⊔ t) : Set α) = ↑s ∪ ↑t :=
rfl
#align topological_space.opens.coe_sup TopologicalSpace.Opens.coe_sup
@[simp, norm_cast]
theorem coe_bot : ((⊥ : Opens α) : Set α) = ∅ :=
rfl
#align topological_space.opens.coe_bot TopologicalSpace.Opens.coe_bot
@[simp] theorem mk_empty : (⟨∅, isOpen_empty⟩ : Opens α) = ⊥ := rfl
-- Porting note (#10756): new lemma
@[simp, norm_cast]
theorem coe_eq_empty {U : Opens α} : (U : Set α) = ∅ ↔ U = ⊥ :=
SetLike.coe_injective.eq_iff' rfl
@[simp, norm_cast]
theorem coe_top : ((⊤ : Opens α) : Set α) = Set.univ :=
rfl
#align topological_space.opens.coe_top TopologicalSpace.Opens.coe_top
@[simp] theorem mk_univ : (⟨univ, isOpen_univ⟩ : Opens α) = ⊤ := rfl
-- Porting note (#10756): new lemma
@[simp, norm_cast]
theorem coe_eq_univ {U : Opens α} : (U : Set α) = univ ↔ U = ⊤ :=
SetLike.coe_injective.eq_iff' rfl
@[simp, norm_cast]
theorem coe_sSup {S : Set (Opens α)} : (↑(sSup S) : Set α) = ⋃ i ∈ S, ↑i :=
rfl
#align topological_space.opens.coe_Sup TopologicalSpace.Opens.coe_sSup
@[simp, norm_cast]
theorem coe_finset_sup (f : ι → Opens α) (s : Finset ι) : (↑(s.sup f) : Set α) = s.sup ((↑) ∘ f) :=
map_finset_sup (⟨⟨(↑), coe_sup⟩, coe_bot⟩ : SupBotHom (Opens α) (Set α)) _ _
#align topological_space.opens.coe_finset_sup TopologicalSpace.Opens.coe_finset_sup
@[simp, norm_cast]
theorem coe_finset_inf (f : ι → Opens α) (s : Finset ι) : (↑(s.inf f) : Set α) = s.inf ((↑) ∘ f) :=
map_finset_inf (⟨⟨(↑), coe_inf⟩, coe_top⟩ : InfTopHom (Opens α) (Set α)) _ _
#align topological_space.opens.coe_finset_inf TopologicalSpace.Opens.coe_finset_inf
instance : Inhabited (Opens α) := ⟨⊥⟩
-- porting note (#10754): new instance
instance [IsEmpty α] : Unique (Opens α) where
uniq _ := ext <| Subsingleton.elim _ _
-- porting note (#10754): new instance
instance [Nonempty α] : Nontrivial (Opens α) where
exists_pair_ne := ⟨⊥, ⊤, mt coe_inj.2 empty_ne_univ⟩
@[simp, norm_cast]
theorem coe_iSup {ι} (s : ι → Opens α) : ((⨆ i, s i : Opens α) : Set α) = ⋃ i, s i := by
simp [iSup]
#align topological_space.opens.coe_supr TopologicalSpace.Opens.coe_iSup
theorem iSup_def {ι} (s : ι → Opens α) : ⨆ i, s i = ⟨⋃ i, s i, isOpen_iUnion fun i => (s i).2⟩ :=
ext <| coe_iSup s
#align topological_space.opens.supr_def TopologicalSpace.Opens.iSup_def
@[simp]
theorem iSup_mk {ι} (s : ι → Set α) (h : ∀ i, IsOpen (s i)) :
(⨆ i, ⟨s i, h i⟩ : Opens α) = ⟨⋃ i, s i, isOpen_iUnion h⟩ :=
iSup_def _
#align topological_space.opens.supr_mk TopologicalSpace.Opens.iSup_mk
@[simp]
theorem mem_iSup {ι} {x : α} {s : ι → Opens α} : x ∈ iSup s ↔ ∃ i, x ∈ s i := by
rw [← SetLike.mem_coe]
simp
#align topological_space.opens.mem_supr TopologicalSpace.Opens.mem_iSup
@[simp]
theorem mem_sSup {Us : Set (Opens α)} {x : α} : x ∈ sSup Us ↔ ∃ u ∈ Us, x ∈ u := by
simp_rw [sSup_eq_iSup, mem_iSup, exists_prop]
#align topological_space.opens.mem_Sup TopologicalSpace.Opens.mem_sSup
instance : Frame (Opens α) :=
{ inferInstanceAs (CompleteLattice (Opens α)) with
sSup := sSup
inf_sSup_le_iSup_inf := fun a s =>
(ext <| by simp only [coe_inf, coe_iSup, coe_sSup, Set.inter_iUnion₂]).le }
theorem openEmbedding' (U : Opens α) : OpenEmbedding (Subtype.val : U → α) :=
U.isOpen.openEmbedding_subtype_val
theorem openEmbedding_of_le {U V : Opens α} (i : U ≤ V) :
OpenEmbedding (Set.inclusion <| SetLike.coe_subset_coe.2 i) :=
{ toEmbedding := embedding_inclusion i
isOpen_range := by
rw [Set.range_inclusion i]
exact U.isOpen.preimage continuous_subtype_val }
#align topological_space.opens.open_embedding_of_le TopologicalSpace.Opens.openEmbedding_of_le
theorem not_nonempty_iff_eq_bot (U : Opens α) : ¬Set.Nonempty (U : Set α) ↔ U = ⊥ := by
rw [← coe_inj, coe_bot, ← Set.not_nonempty_iff_eq_empty]
#align topological_space.opens.not_nonempty_iff_eq_bot TopologicalSpace.Opens.not_nonempty_iff_eq_bot
| Mathlib/Topology/Sets/Opens.lean | 278 | 279 | theorem ne_bot_iff_nonempty (U : Opens α) : U ≠ ⊥ ↔ Set.Nonempty (U : Set α) := by |
rw [Ne, ← not_nonempty_iff_eq_bot, not_not]
|
import Mathlib.Data.Multiset.Bind
#align_import data.multiset.fold from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
namespace Multiset
variable {α β : Type*}
section Fold
variable (op : α → α → α) [hc : Std.Commutative op] [ha : Std.Associative op]
local notation a " * " b => op a b
def fold : α → Multiset α → α :=
foldr op (left_comm _ hc.comm ha.assoc)
#align multiset.fold Multiset.fold
theorem fold_eq_foldr (b : α) (s : Multiset α) :
fold op b s = foldr op (left_comm _ hc.comm ha.assoc) b s :=
rfl
#align multiset.fold_eq_foldr Multiset.fold_eq_foldr
@[simp]
theorem coe_fold_r (b : α) (l : List α) : fold op b l = l.foldr op b :=
rfl
#align multiset.coe_fold_r Multiset.coe_fold_r
theorem coe_fold_l (b : α) (l : List α) : fold op b l = l.foldl op b :=
(coe_foldr_swap op _ b l).trans <| by simp [hc.comm]
#align multiset.coe_fold_l Multiset.coe_fold_l
theorem fold_eq_foldl (b : α) (s : Multiset α) :
fold op b s = foldl op (right_comm _ hc.comm ha.assoc) b s :=
Quot.inductionOn s fun _ => coe_fold_l _ _ _
#align multiset.fold_eq_foldl Multiset.fold_eq_foldl
@[simp]
theorem fold_zero (b : α) : (0 : Multiset α).fold op b = b :=
rfl
#align multiset.fold_zero Multiset.fold_zero
@[simp]
theorem fold_cons_left : ∀ (b a : α) (s : Multiset α), (a ::ₘ s).fold op b = a * s.fold op b :=
foldr_cons _ _
#align multiset.fold_cons_left Multiset.fold_cons_left
| Mathlib/Data/Multiset/Fold.lean | 63 | 64 | theorem fold_cons_right (b a : α) (s : Multiset α) : (a ::ₘ s).fold op b = s.fold op b * a := by |
simp [hc.comm]
|
import Mathlib.MeasureTheory.Measure.VectorMeasure
import Mathlib.MeasureTheory.Function.AEEqOfIntegral
#align_import measure_theory.measure.with_density_vector_measure from "leanprover-community/mathlib"@"d1bd9c5df2867c1cb463bc6364446d57bdd9f7f1"
noncomputable section
open scoped Classical MeasureTheory NNReal ENNReal
variable {α β : Type*} {m : MeasurableSpace α}
namespace MeasureTheory
open TopologicalSpace
variable {μ ν : Measure α}
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E]
def Measure.withDensityᵥ {m : MeasurableSpace α} (μ : Measure α) (f : α → E) : VectorMeasure α E :=
if hf : Integrable f μ then
{ measureOf' := fun s => if MeasurableSet s then ∫ x in s, f x ∂μ else 0
empty' := by simp
not_measurable' := fun s hs => if_neg hs
m_iUnion' := fun s hs₁ hs₂ => by
dsimp only
convert hasSum_integral_iUnion hs₁ hs₂ hf.integrableOn with n
· rw [if_pos (hs₁ n)]
· rw [if_pos (MeasurableSet.iUnion hs₁)] }
else 0
#align measure_theory.measure.with_densityᵥ MeasureTheory.Measure.withDensityᵥ
open Measure
variable {f g : α → E}
theorem withDensityᵥ_apply (hf : Integrable f μ) {s : Set α} (hs : MeasurableSet s) :
μ.withDensityᵥ f s = ∫ x in s, f x ∂μ := by rw [withDensityᵥ, dif_pos hf]; exact dif_pos hs
#align measure_theory.with_densityᵥ_apply MeasureTheory.withDensityᵥ_apply
@[simp]
theorem withDensityᵥ_zero : μ.withDensityᵥ (0 : α → E) = 0 := by
ext1 s hs; erw [withDensityᵥ_apply (integrable_zero α E μ) hs]; simp
#align measure_theory.with_densityᵥ_zero MeasureTheory.withDensityᵥ_zero
@[simp]
theorem withDensityᵥ_neg : μ.withDensityᵥ (-f) = -μ.withDensityᵥ f := by
by_cases hf : Integrable f μ
· ext1 i hi
rw [VectorMeasure.neg_apply, withDensityᵥ_apply hf hi, ← integral_neg,
withDensityᵥ_apply hf.neg hi]
rfl
· rw [withDensityᵥ, withDensityᵥ, dif_neg hf, dif_neg, neg_zero]
rwa [integrable_neg_iff]
#align measure_theory.with_densityᵥ_neg MeasureTheory.withDensityᵥ_neg
theorem withDensityᵥ_neg' : (μ.withDensityᵥ fun x => -f x) = -μ.withDensityᵥ f :=
withDensityᵥ_neg
#align measure_theory.with_densityᵥ_neg' MeasureTheory.withDensityᵥ_neg'
@[simp]
theorem withDensityᵥ_add (hf : Integrable f μ) (hg : Integrable g μ) :
μ.withDensityᵥ (f + g) = μ.withDensityᵥ f + μ.withDensityᵥ g := by
ext1 i hi
rw [withDensityᵥ_apply (hf.add hg) hi, VectorMeasure.add_apply, withDensityᵥ_apply hf hi,
withDensityᵥ_apply hg hi]
simp_rw [Pi.add_apply]
rw [integral_add] <;> rw [← integrableOn_univ]
· exact hf.integrableOn.restrict MeasurableSet.univ
· exact hg.integrableOn.restrict MeasurableSet.univ
#align measure_theory.with_densityᵥ_add MeasureTheory.withDensityᵥ_add
theorem withDensityᵥ_add' (hf : Integrable f μ) (hg : Integrable g μ) :
(μ.withDensityᵥ fun x => f x + g x) = μ.withDensityᵥ f + μ.withDensityᵥ g :=
withDensityᵥ_add hf hg
#align measure_theory.with_densityᵥ_add' MeasureTheory.withDensityᵥ_add'
@[simp]
theorem withDensityᵥ_sub (hf : Integrable f μ) (hg : Integrable g μ) :
μ.withDensityᵥ (f - g) = μ.withDensityᵥ f - μ.withDensityᵥ g := by
rw [sub_eq_add_neg, sub_eq_add_neg, withDensityᵥ_add hf hg.neg, withDensityᵥ_neg]
#align measure_theory.with_densityᵥ_sub MeasureTheory.withDensityᵥ_sub
theorem withDensityᵥ_sub' (hf : Integrable f μ) (hg : Integrable g μ) :
(μ.withDensityᵥ fun x => f x - g x) = μ.withDensityᵥ f - μ.withDensityᵥ g :=
withDensityᵥ_sub hf hg
#align measure_theory.with_densityᵥ_sub' MeasureTheory.withDensityᵥ_sub'
@[simp]
| Mathlib/MeasureTheory/Measure/WithDensityVectorMeasure.lean | 112 | 122 | theorem withDensityᵥ_smul {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E]
[SMulCommClass ℝ 𝕜 E] (f : α → E) (r : 𝕜) : μ.withDensityᵥ (r • f) = r • μ.withDensityᵥ f := by |
by_cases hf : Integrable f μ
· ext1 i hi
rw [withDensityᵥ_apply (hf.smul r) hi, VectorMeasure.smul_apply, withDensityᵥ_apply hf hi, ←
integral_smul r f]
rfl
· by_cases hr : r = 0
· rw [hr, zero_smul, zero_smul, withDensityᵥ_zero]
· rw [withDensityᵥ, withDensityᵥ, dif_neg hf, dif_neg, smul_zero]
rwa [integrable_smul_iff hr f]
|
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Data.Fintype.BigOperators
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.Tactic.FinCases
#align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Affine
namespace Finset
theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by
ext x
fin_cases x <;> simp
#align finset.univ_fin2 Finset.univ_fin2
variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [S : AffineSpace V P]
variable {ι : Type*} (s : Finset ι)
variable {ι₂ : Type*} (s₂ : Finset ι₂)
def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V :=
∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b)
#align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint
@[simp]
theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) :
s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by
simp [weightedVSubOfPoint, LinearMap.sum_apply]
#align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply
@[simp (high)]
theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) :
s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by
rw [weightedVSubOfPoint_apply, sum_smul]
#align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const
theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) :
s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by
simp_rw [weightedVSubOfPoint_apply]
refine sum_congr rfl fun i hi => ?_
rw [hw i hi, hp i hi]
#align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr
theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k)
(hw : ∀ i, i ≠ j → w₁ i = w₂ i) :
s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by
simp only [Finset.weightedVSubOfPoint_apply]
congr
ext i
rcases eq_or_ne i j with h | h
· simp [h]
· simp [hw i h]
#align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq
theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by
apply eq_of_sub_eq_zero
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib]
conv_lhs =>
congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, zero_smul]
#align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero
theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by
erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V,
vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ←
sum_sub_distrib]
conv_lhs =>
congr
· skip
· congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self]
#align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one
@[simp (high)]
theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_erase
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase
@[simp (high)]
theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_insert_zero
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert
theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι}
(h : s₁ ⊆ s₂) :
s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
exact Eq.symm <|
sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _
#align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset
theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) :
(s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by
simp_rw [weightedVSubOfPoint_apply]
exact Finset.sum_map _ _ _
#align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map
theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) =
s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by
simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right]
#align finset.sum_smul_vsub_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_eq_weightedVSubOfPoint_sub
theorem sum_smul_vsub_const_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ : ι → P) (p₂ b : P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSubOfPoint p₁ b w - (∑ i ∈ s, w i) • (p₂ -ᵥ b) := by
rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const]
#align finset.sum_smul_vsub_const_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_const_eq_weightedVSubOfPoint_sub
theorem sum_smul_const_vsub_eq_sub_weightedVSubOfPoint (w : ι → k) (p₂ : ι → P) (p₁ b : P) :
(∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = (∑ i ∈ s, w i) • (p₁ -ᵥ b) - s.weightedVSubOfPoint p₂ b w := by
rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const]
#align finset.sum_smul_const_vsub_eq_sub_weighted_vsub_of_point Finset.sum_smul_const_vsub_eq_sub_weightedVSubOfPoint
theorem weightedVSubOfPoint_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) (b : P) :
(s \ s₂).weightedVSubOfPoint p b w + s₂.weightedVSubOfPoint p b w =
s.weightedVSubOfPoint p b w := by
simp_rw [weightedVSubOfPoint_apply, sum_sdiff h]
#align finset.weighted_vsub_of_point_sdiff Finset.weightedVSubOfPoint_sdiff
theorem weightedVSubOfPoint_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) (b : P) :
(s \ s₂).weightedVSubOfPoint p b w - s₂.weightedVSubOfPoint p b (-w) =
s.weightedVSubOfPoint p b w := by
rw [map_neg, sub_neg_eq_add, s.weightedVSubOfPoint_sdiff h]
#align finset.weighted_vsub_of_point_sdiff_sub Finset.weightedVSubOfPoint_sdiff_sub
theorem weightedVSubOfPoint_subtype_eq_filter (w : ι → k) (p : ι → P) (b : P) (pred : ι → Prop)
[DecidablePred pred] :
((s.subtype pred).weightedVSubOfPoint (fun i => p i) b fun i => w i) =
(s.filter pred).weightedVSubOfPoint p b w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_subtype_eq_sum_filter]
#align finset.weighted_vsub_of_point_subtype_eq_filter Finset.weightedVSubOfPoint_subtype_eq_filter
theorem weightedVSubOfPoint_filter_of_ne (w : ι → k) (p : ι → P) (b : P) {pred : ι → Prop}
[DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) :
(s.filter pred).weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, sum_filter_of_ne]
intro i hi hne
refine h i hi ?_
intro hw
simp [hw] at hne
#align finset.weighted_vsub_of_point_filter_of_ne Finset.weightedVSubOfPoint_filter_of_ne
theorem weightedVSubOfPoint_const_smul (w : ι → k) (p : ι → P) (b : P) (c : k) :
s.weightedVSubOfPoint p b (c • w) = c • s.weightedVSubOfPoint p b w := by
simp_rw [weightedVSubOfPoint_apply, smul_sum, Pi.smul_apply, smul_smul, smul_eq_mul]
#align finset.weighted_vsub_of_point_const_smul Finset.weightedVSubOfPoint_const_smul
def weightedVSub (p : ι → P) : (ι → k) →ₗ[k] V :=
s.weightedVSubOfPoint p (Classical.choice S.nonempty)
#align finset.weighted_vsub Finset.weightedVSub
theorem weightedVSub_apply (w : ι → k) (p : ι → P) :
s.weightedVSub p w = ∑ i ∈ s, w i • (p i -ᵥ Classical.choice S.nonempty) := by
simp [weightedVSub, LinearMap.sum_apply]
#align finset.weighted_vsub_apply Finset.weightedVSub_apply
theorem weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero (w : ι → k) (p : ι → P)
(h : ∑ i ∈ s, w i = 0) (b : P) : s.weightedVSub p w = s.weightedVSubOfPoint p b w :=
s.weightedVSubOfPoint_eq_of_sum_eq_zero w p h _ _
#align finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero
@[simp]
theorem weightedVSub_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 0) :
s.weightedVSub (fun _ => p) w = 0 := by
rw [weightedVSub, weightedVSubOfPoint_apply_const, h, zero_smul]
#align finset.weighted_vsub_apply_const Finset.weightedVSub_apply_const
@[simp]
theorem weightedVSub_empty (w : ι → k) (p : ι → P) : (∅ : Finset ι).weightedVSub p w = (0 : V) := by
simp [weightedVSub_apply]
#align finset.weighted_vsub_empty Finset.weightedVSub_empty
theorem weightedVSub_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) : s.weightedVSub p₁ w₁ = s.weightedVSub p₂ w₂ :=
s.weightedVSubOfPoint_congr hw hp _
#align finset.weighted_vsub_congr Finset.weightedVSub_congr
theorem weightedVSub_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) :
s₁.weightedVSub p w = s₂.weightedVSub p (Set.indicator (↑s₁) w) :=
weightedVSubOfPoint_indicator_subset _ _ _ h
#align finset.weighted_vsub_indicator_subset Finset.weightedVSub_indicator_subset
theorem weightedVSub_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) :
(s₂.map e).weightedVSub p w = s₂.weightedVSub (p ∘ e) (w ∘ e) :=
s₂.weightedVSubOfPoint_map _ _ _ _
#align finset.weighted_vsub_map Finset.weightedVSub_map
theorem sum_smul_vsub_eq_weightedVSub_sub (w : ι → k) (p₁ p₂ : ι → P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSub p₁ w - s.weightedVSub p₂ w :=
s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _
#align finset.sum_smul_vsub_eq_weighted_vsub_sub Finset.sum_smul_vsub_eq_weightedVSub_sub
theorem sum_smul_vsub_const_eq_weightedVSub (w : ι → k) (p₁ : ι → P) (p₂ : P)
(h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSub p₁ w := by
rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, sub_zero]
#align finset.sum_smul_vsub_const_eq_weighted_vsub Finset.sum_smul_vsub_const_eq_weightedVSub
theorem sum_smul_const_vsub_eq_neg_weightedVSub (w : ι → k) (p₂ : ι → P) (p₁ : P)
(h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = -s.weightedVSub p₂ w := by
rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, zero_sub]
#align finset.sum_smul_const_vsub_eq_neg_weighted_vsub Finset.sum_smul_const_vsub_eq_neg_weightedVSub
theorem weightedVSub_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) :
(s \ s₂).weightedVSub p w + s₂.weightedVSub p w = s.weightedVSub p w :=
s.weightedVSubOfPoint_sdiff h _ _ _
#align finset.weighted_vsub_sdiff Finset.weightedVSub_sdiff
theorem weightedVSub_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) : (s \ s₂).weightedVSub p w - s₂.weightedVSub p (-w) = s.weightedVSub p w :=
s.weightedVSubOfPoint_sdiff_sub h _ _ _
#align finset.weighted_vsub_sdiff_sub Finset.weightedVSub_sdiff_sub
theorem weightedVSub_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop)
[DecidablePred pred] :
((s.subtype pred).weightedVSub (fun i => p i) fun i => w i) =
(s.filter pred).weightedVSub p w :=
s.weightedVSubOfPoint_subtype_eq_filter _ _ _ _
#align finset.weighted_vsub_subtype_eq_filter Finset.weightedVSub_subtype_eq_filter
theorem weightedVSub_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred]
(h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSub p w = s.weightedVSub p w :=
s.weightedVSubOfPoint_filter_of_ne _ _ _ h
#align finset.weighted_vsub_filter_of_ne Finset.weightedVSub_filter_of_ne
theorem weightedVSub_const_smul (w : ι → k) (p : ι → P) (c : k) :
s.weightedVSub p (c • w) = c • s.weightedVSub p w :=
s.weightedVSubOfPoint_const_smul _ _ _ _
#align finset.weighted_vsub_const_smul Finset.weightedVSub_const_smul
instance : AffineSpace (ι → k) (ι → k) := Pi.instAddTorsor
variable (k)
def affineCombination (p : ι → P) : (ι → k) →ᵃ[k] P where
toFun w := s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty
linear := s.weightedVSub p
map_vadd' w₁ w₂ := by simp_rw [vadd_vadd, weightedVSub, vadd_eq_add, LinearMap.map_add]
#align finset.affine_combination Finset.affineCombination
@[simp]
theorem affineCombination_linear (p : ι → P) :
(s.affineCombination k p).linear = s.weightedVSub p :=
rfl
#align finset.affine_combination_linear Finset.affineCombination_linear
variable {k}
theorem affineCombination_apply (w : ι → k) (p : ι → P) :
(s.affineCombination k p) w =
s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty :=
rfl
#align finset.affine_combination_apply Finset.affineCombination_apply
@[simp]
theorem affineCombination_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 1) :
s.affineCombination k (fun _ => p) w = p := by
rw [affineCombination_apply, s.weightedVSubOfPoint_apply_const, h, one_smul, vsub_vadd]
#align finset.affine_combination_apply_const Finset.affineCombination_apply_const
theorem affineCombination_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) : s.affineCombination k p₁ w₁ = s.affineCombination k p₂ w₂ := by
simp_rw [affineCombination_apply, s.weightedVSubOfPoint_congr hw hp]
#align finset.affine_combination_congr Finset.affineCombination_congr
theorem affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one (w : ι → k) (p : ι → P)
(h : ∑ i ∈ s, w i = 1) (b : P) :
s.affineCombination k p w = s.weightedVSubOfPoint p b w +ᵥ b :=
s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w p h _ _
#align finset.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one Finset.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one
theorem weightedVSub_vadd_affineCombination (w₁ w₂ : ι → k) (p : ι → P) :
s.weightedVSub p w₁ +ᵥ s.affineCombination k p w₂ = s.affineCombination k p (w₁ + w₂) := by
rw [← vadd_eq_add, AffineMap.map_vadd, affineCombination_linear]
#align finset.weighted_vsub_vadd_affine_combination Finset.weightedVSub_vadd_affineCombination
theorem affineCombination_vsub (w₁ w₂ : ι → k) (p : ι → P) :
s.affineCombination k p w₁ -ᵥ s.affineCombination k p w₂ = s.weightedVSub p (w₁ - w₂) := by
rw [← AffineMap.linearMap_vsub, affineCombination_linear, vsub_eq_sub]
#align finset.affine_combination_vsub Finset.affineCombination_vsub
theorem attach_affineCombination_of_injective [DecidableEq P] (s : Finset P) (w : P → k) (f : s → P)
(hf : Function.Injective f) :
s.attach.affineCombination k f (w ∘ f) = (image f univ).affineCombination k id w := by
simp only [affineCombination, weightedVSubOfPoint_apply, id, vadd_right_cancel_iff,
Function.comp_apply, AffineMap.coe_mk]
let g₁ : s → V := fun i => w (f i) • (f i -ᵥ Classical.choice S.nonempty)
let g₂ : P → V := fun i => w i • (i -ᵥ Classical.choice S.nonempty)
change univ.sum g₁ = (image f univ).sum g₂
have hgf : g₁ = g₂ ∘ f := by
ext
simp
rw [hgf, sum_image]
· simp only [Function.comp_apply]
· exact fun _ _ _ _ hxy => hf hxy
#align finset.attach_affine_combination_of_injective Finset.attach_affineCombination_of_injective
theorem attach_affineCombination_coe (s : Finset P) (w : P → k) :
s.attach.affineCombination k ((↑) : s → P) (w ∘ (↑)) = s.affineCombination k id w := by
classical rw [attach_affineCombination_of_injective s w ((↑) : s → P) Subtype.coe_injective,
univ_eq_attach, attach_image_val]
#align finset.attach_affine_combination_coe Finset.attach_affineCombination_coe
@[simp]
theorem weightedVSub_eq_linear_combination {ι} (s : Finset ι) {w : ι → k} {p : ι → V}
(hw : s.sum w = 0) : s.weightedVSub p w = ∑ i ∈ s, w i • p i := by
simp [s.weightedVSub_apply, vsub_eq_sub, smul_sub, ← Finset.sum_smul, hw]
#align finset.weighted_vsub_eq_linear_combination Finset.weightedVSub_eq_linear_combination
@[simp]
theorem affineCombination_eq_linear_combination (s : Finset ι) (p : ι → V) (w : ι → k)
(hw : ∑ i ∈ s, w i = 1) : s.affineCombination k p w = ∑ i ∈ s, w i • p i := by
simp [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw 0]
#align finset.affine_combination_eq_linear_combination Finset.affineCombination_eq_linear_combination
@[simp]
theorem affineCombination_of_eq_one_of_eq_zero (w : ι → k) (p : ι → P) {i : ι} (his : i ∈ s)
(hwi : w i = 1) (hw0 : ∀ i2 ∈ s, i2 ≠ i → w i2 = 0) : s.affineCombination k p w = p i := by
have h1 : ∑ i ∈ s, w i = 1 := hwi ▸ sum_eq_single i hw0 fun h => False.elim (h his)
rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p h1 (p i),
weightedVSubOfPoint_apply]
convert zero_vadd V (p i)
refine sum_eq_zero ?_
intro i2 hi2
by_cases h : i2 = i
· simp [h]
· simp [hw0 i2 hi2 h]
#align finset.affine_combination_of_eq_one_of_eq_zero Finset.affineCombination_of_eq_one_of_eq_zero
theorem affineCombination_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι}
(h : s₁ ⊆ s₂) :
s₁.affineCombination k p w = s₂.affineCombination k p (Set.indicator (↑s₁) w) := by
rw [affineCombination_apply, affineCombination_apply,
weightedVSubOfPoint_indicator_subset _ _ _ h]
#align finset.affine_combination_indicator_subset Finset.affineCombination_indicator_subset
theorem affineCombination_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) :
(s₂.map e).affineCombination k p w = s₂.affineCombination k (p ∘ e) (w ∘ e) := by
simp_rw [affineCombination_apply, weightedVSubOfPoint_map]
#align finset.affine_combination_map Finset.affineCombination_map
theorem sum_smul_vsub_eq_affineCombination_vsub (w : ι → k) (p₁ p₂ : ι → P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) =
s.affineCombination k p₁ w -ᵥ s.affineCombination k p₂ w := by
simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right]
exact s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _
#align finset.sum_smul_vsub_eq_affine_combination_vsub Finset.sum_smul_vsub_eq_affineCombination_vsub
theorem sum_smul_vsub_const_eq_affineCombination_vsub (w : ι → k) (p₁ : ι → P) (p₂ : P)
(h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.affineCombination k p₁ w -ᵥ p₂ := by
rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h]
#align finset.sum_smul_vsub_const_eq_affine_combination_vsub Finset.sum_smul_vsub_const_eq_affineCombination_vsub
theorem sum_smul_const_vsub_eq_vsub_affineCombination (w : ι → k) (p₂ : ι → P) (p₁ : P)
(h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = p₁ -ᵥ s.affineCombination k p₂ w := by
rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h]
#align finset.sum_smul_const_vsub_eq_vsub_affine_combination Finset.sum_smul_const_vsub_eq_vsub_affineCombination
theorem affineCombination_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k)
(p : ι → P) :
(s \ s₂).affineCombination k p w -ᵥ s₂.affineCombination k p (-w) = s.weightedVSub p w := by
simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right]
exact s.weightedVSub_sdiff_sub h _ _
#align finset.affine_combination_sdiff_sub Finset.affineCombination_sdiff_sub
theorem affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one {w : ι → k} {p : ι → P}
(hw : s.weightedVSub p w = (0 : V)) {i : ι} [DecidablePred (· ≠ i)] (his : i ∈ s)
(hwi : w i = -1) : (s.filter (· ≠ i)).affineCombination k p w = p i := by
classical
rw [← @vsub_eq_zero_iff_eq V, ← hw,
← s.affineCombination_sdiff_sub (singleton_subset_iff.2 his), sdiff_singleton_eq_erase,
← filter_ne']
congr
refine (affineCombination_of_eq_one_of_eq_zero _ _ _ (mem_singleton_self _) ?_ ?_).symm
· simp [hwi]
· simp
#align finset.affine_combination_eq_of_weighted_vsub_eq_zero_of_eq_neg_one Finset.affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one
| Mathlib/LinearAlgebra/AffineSpace/Combination.lean | 549 | 553 | theorem affineCombination_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop)
[DecidablePred pred] :
((s.subtype pred).affineCombination k (fun i => p i) fun i => w i) =
(s.filter pred).affineCombination k p w := by |
rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_subtype_eq_filter]
|
import Mathlib.Order.Heyting.Basic
#align_import order.boolean_algebra from "leanprover-community/mathlib"@"9ac7c0c8c4d7a535ec3e5b34b8859aab9233b2f4"
open Function OrderDual
universe u v
variable {α : Type u} {β : Type*} {w x y z : α}
class GeneralizedBooleanAlgebra (α : Type u) extends DistribLattice α, SDiff α, Bot α where
sup_inf_sdiff : ∀ a b : α, a ⊓ b ⊔ a \ b = a
inf_inf_sdiff : ∀ a b : α, a ⊓ b ⊓ a \ b = ⊥
#align generalized_boolean_algebra GeneralizedBooleanAlgebra
-- We might want an `IsCompl_of` predicate (for relative complements) generalizing `IsCompl`,
-- however we'd need another type class for lattices with bot, and all the API for that.
section GeneralizedBooleanAlgebra
variable [GeneralizedBooleanAlgebra α]
@[simp]
theorem sup_inf_sdiff (x y : α) : x ⊓ y ⊔ x \ y = x :=
GeneralizedBooleanAlgebra.sup_inf_sdiff _ _
#align sup_inf_sdiff sup_inf_sdiff
@[simp]
theorem inf_inf_sdiff (x y : α) : x ⊓ y ⊓ x \ y = ⊥ :=
GeneralizedBooleanAlgebra.inf_inf_sdiff _ _
#align inf_inf_sdiff inf_inf_sdiff
@[simp]
theorem sup_sdiff_inf (x y : α) : x \ y ⊔ x ⊓ y = x := by rw [sup_comm, sup_inf_sdiff]
#align sup_sdiff_inf sup_sdiff_inf
@[simp]
theorem inf_sdiff_inf (x y : α) : x \ y ⊓ (x ⊓ y) = ⊥ := by rw [inf_comm, inf_inf_sdiff]
#align inf_sdiff_inf inf_sdiff_inf
-- see Note [lower instance priority]
instance (priority := 100) GeneralizedBooleanAlgebra.toOrderBot : OrderBot α where
__ := GeneralizedBooleanAlgebra.toBot
bot_le a := by
rw [← inf_inf_sdiff a a, inf_assoc]
exact inf_le_left
#align generalized_boolean_algebra.to_order_bot GeneralizedBooleanAlgebra.toOrderBot
theorem disjoint_inf_sdiff : Disjoint (x ⊓ y) (x \ y) :=
disjoint_iff_inf_le.mpr (inf_inf_sdiff x y).le
#align disjoint_inf_sdiff disjoint_inf_sdiff
-- TODO: in distributive lattices, relative complements are unique when they exist
theorem sdiff_unique (s : x ⊓ y ⊔ z = x) (i : x ⊓ y ⊓ z = ⊥) : x \ y = z := by
conv_rhs at s => rw [← sup_inf_sdiff x y, sup_comm]
rw [sup_comm] at s
conv_rhs at i => rw [← inf_inf_sdiff x y, inf_comm]
rw [inf_comm] at i
exact (eq_of_inf_eq_sup_eq i s).symm
#align sdiff_unique sdiff_unique
-- Use `sdiff_le`
private theorem sdiff_le' : x \ y ≤ x :=
calc
x \ y ≤ x ⊓ y ⊔ x \ y := le_sup_right
_ = x := sup_inf_sdiff x y
-- Use `sdiff_sup_self`
private theorem sdiff_sup_self' : y \ x ⊔ x = y ⊔ x :=
calc
y \ x ⊔ x = y \ x ⊔ (x ⊔ x ⊓ y) := by rw [sup_inf_self]
_ = y ⊓ x ⊔ y \ x ⊔ x := by ac_rfl
_ = y ⊔ x := by rw [sup_inf_sdiff]
@[simp]
theorem sdiff_inf_sdiff : x \ y ⊓ y \ x = ⊥ :=
Eq.symm <|
calc
⊥ = x ⊓ y ⊓ x \ y := by rw [inf_inf_sdiff]
_ = x ⊓ (y ⊓ x ⊔ y \ x) ⊓ x \ y := by rw [sup_inf_sdiff]
_ = (x ⊓ (y ⊓ x) ⊔ x ⊓ y \ x) ⊓ x \ y := by rw [inf_sup_left]
_ = (y ⊓ (x ⊓ x) ⊔ x ⊓ y \ x) ⊓ x \ y := by ac_rfl
_ = (y ⊓ x ⊔ x ⊓ y \ x) ⊓ x \ y := by rw [inf_idem]
_ = x ⊓ y ⊓ x \ y ⊔ x ⊓ y \ x ⊓ x \ y := by rw [inf_sup_right, inf_comm x y]
_ = x ⊓ y \ x ⊓ x \ y := by rw [inf_inf_sdiff, bot_sup_eq]
_ = x ⊓ x \ y ⊓ y \ x := by ac_rfl
_ = x \ y ⊓ y \ x := by rw [inf_of_le_right sdiff_le']
#align sdiff_inf_sdiff sdiff_inf_sdiff
theorem disjoint_sdiff_sdiff : Disjoint (x \ y) (y \ x) :=
disjoint_iff_inf_le.mpr sdiff_inf_sdiff.le
#align disjoint_sdiff_sdiff disjoint_sdiff_sdiff
@[simp]
theorem inf_sdiff_self_right : x ⊓ y \ x = ⊥ :=
calc
x ⊓ y \ x = (x ⊓ y ⊔ x \ y) ⊓ y \ x := by rw [sup_inf_sdiff]
_ = x ⊓ y ⊓ y \ x ⊔ x \ y ⊓ y \ x := by rw [inf_sup_right]
_ = ⊥ := by rw [inf_comm x y, inf_inf_sdiff, sdiff_inf_sdiff, bot_sup_eq]
#align inf_sdiff_self_right inf_sdiff_self_right
@[simp]
theorem inf_sdiff_self_left : y \ x ⊓ x = ⊥ := by rw [inf_comm, inf_sdiff_self_right]
#align inf_sdiff_self_left inf_sdiff_self_left
-- see Note [lower instance priority]
instance (priority := 100) GeneralizedBooleanAlgebra.toGeneralizedCoheytingAlgebra :
GeneralizedCoheytingAlgebra α where
__ := ‹GeneralizedBooleanAlgebra α›
__ := GeneralizedBooleanAlgebra.toOrderBot
sdiff := (· \ ·)
sdiff_le_iff y x z :=
⟨fun h =>
le_of_inf_le_sup_le
(le_of_eq
(calc
y ⊓ y \ x = y \ x := inf_of_le_right sdiff_le'
_ = x ⊓ y \ x ⊔ z ⊓ y \ x := by
rw [inf_eq_right.2 h, inf_sdiff_self_right, bot_sup_eq]
_ = (x ⊔ z) ⊓ y \ x := by rw [← inf_sup_right]))
(calc
y ⊔ y \ x = y := sup_of_le_left sdiff_le'
_ ≤ y ⊔ (x ⊔ z) := le_sup_left
_ = y \ x ⊔ x ⊔ z := by rw [← sup_assoc, ← @sdiff_sup_self' _ x y]
_ = x ⊔ z ⊔ y \ x := by ac_rfl),
fun h =>
le_of_inf_le_sup_le
(calc
y \ x ⊓ x = ⊥ := inf_sdiff_self_left
_ ≤ z ⊓ x := bot_le)
(calc
y \ x ⊔ x = y ⊔ x := sdiff_sup_self'
_ ≤ x ⊔ z ⊔ x := sup_le_sup_right h x
_ ≤ z ⊔ x := by rw [sup_assoc, sup_comm, sup_assoc, sup_idem])⟩
#align generalized_boolean_algebra.to_generalized_coheyting_algebra GeneralizedBooleanAlgebra.toGeneralizedCoheytingAlgebra
theorem disjoint_sdiff_self_left : Disjoint (y \ x) x :=
disjoint_iff_inf_le.mpr inf_sdiff_self_left.le
#align disjoint_sdiff_self_left disjoint_sdiff_self_left
theorem disjoint_sdiff_self_right : Disjoint x (y \ x) :=
disjoint_iff_inf_le.mpr inf_sdiff_self_right.le
#align disjoint_sdiff_self_right disjoint_sdiff_self_right
lemma le_sdiff : x ≤ y \ z ↔ x ≤ y ∧ Disjoint x z :=
⟨fun h ↦ ⟨h.trans sdiff_le, disjoint_sdiff_self_left.mono_left h⟩, fun h ↦
by rw [← h.2.sdiff_eq_left]; exact sdiff_le_sdiff_right h.1⟩
#align le_sdiff le_sdiff
@[simp] lemma sdiff_eq_left : x \ y = x ↔ Disjoint x y :=
⟨fun h ↦ disjoint_sdiff_self_left.mono_left h.ge, Disjoint.sdiff_eq_left⟩
#align sdiff_eq_left sdiff_eq_left
theorem Disjoint.sdiff_eq_of_sup_eq (hi : Disjoint x z) (hs : x ⊔ z = y) : y \ x = z :=
have h : y ⊓ x = x := inf_eq_right.2 <| le_sup_left.trans hs.le
sdiff_unique (by rw [h, hs]) (by rw [h, hi.eq_bot])
#align disjoint.sdiff_eq_of_sup_eq Disjoint.sdiff_eq_of_sup_eq
protected theorem Disjoint.sdiff_unique (hd : Disjoint x z) (hz : z ≤ y) (hs : y ≤ x ⊔ z) :
y \ x = z :=
sdiff_unique
(by
rw [← inf_eq_right] at hs
rwa [sup_inf_right, inf_sup_right, sup_comm x, inf_sup_self, inf_comm, sup_comm z,
hs, sup_eq_left])
(by rw [inf_assoc, hd.eq_bot, inf_bot_eq])
#align disjoint.sdiff_unique Disjoint.sdiff_unique
-- cf. `IsCompl.disjoint_left_iff` and `IsCompl.disjoint_right_iff`
theorem disjoint_sdiff_iff_le (hz : z ≤ y) (hx : x ≤ y) : Disjoint z (y \ x) ↔ z ≤ x :=
⟨fun H =>
le_of_inf_le_sup_le (le_trans H.le_bot bot_le)
(by
rw [sup_sdiff_cancel_right hx]
refine le_trans (sup_le_sup_left sdiff_le z) ?_
rw [sup_eq_right.2 hz]),
fun H => disjoint_sdiff_self_right.mono_left H⟩
#align disjoint_sdiff_iff_le disjoint_sdiff_iff_le
-- cf. `IsCompl.le_left_iff` and `IsCompl.le_right_iff`
theorem le_iff_disjoint_sdiff (hz : z ≤ y) (hx : x ≤ y) : z ≤ x ↔ Disjoint z (y \ x) :=
(disjoint_sdiff_iff_le hz hx).symm
#align le_iff_disjoint_sdiff le_iff_disjoint_sdiff
-- cf. `IsCompl.inf_left_eq_bot_iff` and `IsCompl.inf_right_eq_bot_iff`
theorem inf_sdiff_eq_bot_iff (hz : z ≤ y) (hx : x ≤ y) : z ⊓ y \ x = ⊥ ↔ z ≤ x := by
rw [← disjoint_iff]
exact disjoint_sdiff_iff_le hz hx
#align inf_sdiff_eq_bot_iff inf_sdiff_eq_bot_iff
-- cf. `IsCompl.left_le_iff` and `IsCompl.right_le_iff`
theorem le_iff_eq_sup_sdiff (hz : z ≤ y) (hx : x ≤ y) : x ≤ z ↔ y = z ⊔ y \ x :=
⟨fun H => by
apply le_antisymm
· conv_lhs => rw [← sup_inf_sdiff y x]
apply sup_le_sup_right
rwa [inf_eq_right.2 hx]
· apply le_trans
· apply sup_le_sup_right hz
· rw [sup_sdiff_left],
fun H => by
conv_lhs at H => rw [← sup_sdiff_cancel_right hx]
refine le_of_inf_le_sup_le ?_ H.le
rw [inf_sdiff_self_right]
exact bot_le⟩
#align le_iff_eq_sup_sdiff le_iff_eq_sup_sdiff
-- cf. `IsCompl.sup_inf`
theorem sdiff_sup : y \ (x ⊔ z) = y \ x ⊓ y \ z :=
sdiff_unique
(calc
y ⊓ (x ⊔ z) ⊔ y \ x ⊓ y \ z = (y ⊓ (x ⊔ z) ⊔ y \ x) ⊓ (y ⊓ (x ⊔ z) ⊔ y \ z) := by
rw [sup_inf_left]
_ = (y ⊓ x ⊔ y ⊓ z ⊔ y \ x) ⊓ (y ⊓ x ⊔ y ⊓ z ⊔ y \ z) := by rw [@inf_sup_left _ _ y]
_ = (y ⊓ z ⊔ (y ⊓ x ⊔ y \ x)) ⊓ (y ⊓ x ⊔ (y ⊓ z ⊔ y \ z)) := by ac_rfl
_ = (y ⊓ z ⊔ y) ⊓ (y ⊓ x ⊔ y) := by rw [sup_inf_sdiff, sup_inf_sdiff]
_ = (y ⊔ y ⊓ z) ⊓ (y ⊔ y ⊓ x) := by ac_rfl
_ = y := by rw [sup_inf_self, sup_inf_self, inf_idem])
(calc
y ⊓ (x ⊔ z) ⊓ (y \ x ⊓ y \ z) = (y ⊓ x ⊔ y ⊓ z) ⊓ (y \ x ⊓ y \ z) := by rw [inf_sup_left]
_ = y ⊓ x ⊓ (y \ x ⊓ y \ z) ⊔ y ⊓ z ⊓ (y \ x ⊓ y \ z) := by rw [inf_sup_right]
_ = y ⊓ x ⊓ y \ x ⊓ y \ z ⊔ y \ x ⊓ (y \ z ⊓ (y ⊓ z)) := by ac_rfl
_ = ⊥ := by rw [inf_inf_sdiff, bot_inf_eq, bot_sup_eq, inf_comm (y \ z),
inf_inf_sdiff, inf_bot_eq])
#align sdiff_sup sdiff_sup
theorem sdiff_eq_sdiff_iff_inf_eq_inf : y \ x = y \ z ↔ y ⊓ x = y ⊓ z :=
⟨fun h => eq_of_inf_eq_sup_eq (by rw [inf_inf_sdiff, h, inf_inf_sdiff])
(by rw [sup_inf_sdiff, h, sup_inf_sdiff]),
fun h => by rw [← sdiff_inf_self_right, ← sdiff_inf_self_right z y, inf_comm, h, inf_comm]⟩
#align sdiff_eq_sdiff_iff_inf_eq_inf sdiff_eq_sdiff_iff_inf_eq_inf
theorem sdiff_eq_self_iff_disjoint : x \ y = x ↔ Disjoint y x :=
calc
x \ y = x ↔ x \ y = x \ ⊥ := by rw [sdiff_bot]
_ ↔ x ⊓ y = x ⊓ ⊥ := sdiff_eq_sdiff_iff_inf_eq_inf
_ ↔ Disjoint y x := by rw [inf_bot_eq, inf_comm, disjoint_iff]
#align sdiff_eq_self_iff_disjoint sdiff_eq_self_iff_disjoint
theorem sdiff_eq_self_iff_disjoint' : x \ y = x ↔ Disjoint x y := by
rw [sdiff_eq_self_iff_disjoint, disjoint_comm]
#align sdiff_eq_self_iff_disjoint' sdiff_eq_self_iff_disjoint'
theorem sdiff_lt (hx : y ≤ x) (hy : y ≠ ⊥) : x \ y < x := by
refine sdiff_le.lt_of_ne fun h => hy ?_
rw [sdiff_eq_self_iff_disjoint', disjoint_iff] at h
rw [← h, inf_eq_right.mpr hx]
#align sdiff_lt sdiff_lt
@[simp]
theorem le_sdiff_iff : x ≤ y \ x ↔ x = ⊥ :=
⟨fun h => disjoint_self.1 (disjoint_sdiff_self_right.mono_right h), fun h => h.le.trans bot_le⟩
#align le_sdiff_iff le_sdiff_iff
@[simp] lemma sdiff_eq_right : x \ y = y ↔ x = ⊥ ∧ y = ⊥ := by
rw [disjoint_sdiff_self_left.eq_iff]; aesop
lemma sdiff_ne_right : x \ y ≠ y ↔ x ≠ ⊥ ∨ y ≠ ⊥ := sdiff_eq_right.not.trans not_and_or
theorem sdiff_lt_sdiff_right (h : x < y) (hz : z ≤ x) : x \ z < y \ z :=
(sdiff_le_sdiff_right h.le).lt_of_not_le
fun h' => h.not_le <| le_sdiff_sup.trans <| sup_le_of_le_sdiff_right h' hz
#align sdiff_lt_sdiff_right sdiff_lt_sdiff_right
theorem sup_inf_inf_sdiff : x ⊓ y ⊓ z ⊔ y \ z = x ⊓ y ⊔ y \ z :=
calc
x ⊓ y ⊓ z ⊔ y \ z = x ⊓ (y ⊓ z) ⊔ y \ z := by rw [inf_assoc]
_ = (x ⊔ y \ z) ⊓ y := by rw [sup_inf_right, sup_inf_sdiff]
_ = x ⊓ y ⊔ y \ z := by rw [inf_sup_right, inf_sdiff_left]
#align sup_inf_inf_sdiff sup_inf_inf_sdiff
theorem sdiff_sdiff_right : x \ (y \ z) = x \ y ⊔ x ⊓ y ⊓ z := by
rw [sup_comm, inf_comm, ← inf_assoc, sup_inf_inf_sdiff]
apply sdiff_unique
· calc
x ⊓ y \ z ⊔ (z ⊓ x ⊔ x \ y) = (x ⊔ (z ⊓ x ⊔ x \ y)) ⊓ (y \ z ⊔ (z ⊓ x ⊔ x \ y)) := by
rw [sup_inf_right]
_ = (x ⊔ x ⊓ z ⊔ x \ y) ⊓ (y \ z ⊔ (x ⊓ z ⊔ x \ y)) := by ac_rfl
_ = x ⊓ (y \ z ⊔ x ⊓ z ⊔ x \ y) := by rw [sup_inf_self, sup_sdiff_left, ← sup_assoc]
_ = x ⊓ (y \ z ⊓ (z ⊔ y) ⊔ x ⊓ (z ⊔ y) ⊔ x \ y) := by
rw [sup_inf_left, sdiff_sup_self', inf_sup_right, sup_comm y]
_ = x ⊓ (y \ z ⊔ (x ⊓ z ⊔ x ⊓ y) ⊔ x \ y) := by
rw [inf_sdiff_sup_right, @inf_sup_left _ _ x z y]
_ = x ⊓ (y \ z ⊔ (x ⊓ z ⊔ (x ⊓ y ⊔ x \ y))) := by ac_rfl
_ = x ⊓ (y \ z ⊔ (x ⊔ x ⊓ z)) := by rw [sup_inf_sdiff, sup_comm (x ⊓ z)]
_ = x := by rw [sup_inf_self, sup_comm, inf_sup_self]
· calc
x ⊓ y \ z ⊓ (z ⊓ x ⊔ x \ y) = x ⊓ y \ z ⊓ (z ⊓ x) ⊔ x ⊓ y \ z ⊓ x \ y := by rw [inf_sup_left]
_ = x ⊓ (y \ z ⊓ z ⊓ x) ⊔ x ⊓ y \ z ⊓ x \ y := by ac_rfl
_ = x ⊓ y \ z ⊓ x \ y := by rw [inf_sdiff_self_left, bot_inf_eq, inf_bot_eq, bot_sup_eq]
_ = x ⊓ (y \ z ⊓ y) ⊓ x \ y := by conv_lhs => rw [← inf_sdiff_left]
_ = x ⊓ (y \ z ⊓ (y ⊓ x \ y)) := by ac_rfl
_ = ⊥ := by rw [inf_sdiff_self_right, inf_bot_eq, inf_bot_eq]
#align sdiff_sdiff_right sdiff_sdiff_right
theorem sdiff_sdiff_right' : x \ (y \ z) = x \ y ⊔ x ⊓ z :=
calc
x \ (y \ z) = x \ y ⊔ x ⊓ y ⊓ z := sdiff_sdiff_right
_ = z ⊓ x ⊓ y ⊔ x \ y := by ac_rfl
_ = x \ y ⊔ x ⊓ z := by rw [sup_inf_inf_sdiff, sup_comm, inf_comm]
#align sdiff_sdiff_right' sdiff_sdiff_right'
theorem sdiff_sdiff_eq_sdiff_sup (h : z ≤ x) : x \ (y \ z) = x \ y ⊔ z := by
rw [sdiff_sdiff_right', inf_eq_right.2 h]
#align sdiff_sdiff_eq_sdiff_sup sdiff_sdiff_eq_sdiff_sup
@[simp]
theorem sdiff_sdiff_right_self : x \ (x \ y) = x ⊓ y := by
rw [sdiff_sdiff_right, inf_idem, sdiff_self, bot_sup_eq]
#align sdiff_sdiff_right_self sdiff_sdiff_right_self
theorem sdiff_sdiff_eq_self (h : y ≤ x) : x \ (x \ y) = y := by
rw [sdiff_sdiff_right_self, inf_of_le_right h]
#align sdiff_sdiff_eq_self sdiff_sdiff_eq_self
theorem sdiff_eq_symm (hy : y ≤ x) (h : x \ y = z) : x \ z = y := by
rw [← h, sdiff_sdiff_eq_self hy]
#align sdiff_eq_symm sdiff_eq_symm
theorem sdiff_eq_comm (hy : y ≤ x) (hz : z ≤ x) : x \ y = z ↔ x \ z = y :=
⟨sdiff_eq_symm hy, sdiff_eq_symm hz⟩
#align sdiff_eq_comm sdiff_eq_comm
theorem eq_of_sdiff_eq_sdiff (hxz : x ≤ z) (hyz : y ≤ z) (h : z \ x = z \ y) : x = y := by
rw [← sdiff_sdiff_eq_self hxz, h, sdiff_sdiff_eq_self hyz]
#align eq_of_sdiff_eq_sdiff eq_of_sdiff_eq_sdiff
theorem sdiff_sdiff_left' : (x \ y) \ z = x \ y ⊓ x \ z := by rw [sdiff_sdiff_left, sdiff_sup]
#align sdiff_sdiff_left' sdiff_sdiff_left'
theorem sdiff_sdiff_sup_sdiff : z \ (x \ y ⊔ y \ x) = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) :=
calc
z \ (x \ y ⊔ y \ x) = (z \ x ⊔ z ⊓ x ⊓ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by
rw [sdiff_sup, sdiff_sdiff_right, sdiff_sdiff_right]
_ = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by rw [sup_inf_left, sup_comm, sup_inf_sdiff]
_ = z ⊓ (z \ x ⊔ y) ⊓ (z ⊓ (z \ y ⊔ x)) := by
rw [sup_inf_left, sup_comm (z \ y), sup_inf_sdiff]
_ = z ⊓ z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) := by ac_rfl
_ = z ⊓ (z \ x ⊔ y) ⊓ (z \ y ⊔ x) := by rw [inf_idem]
#align sdiff_sdiff_sup_sdiff sdiff_sdiff_sup_sdiff
theorem sdiff_sdiff_sup_sdiff' : z \ (x \ y ⊔ y \ x) = z ⊓ x ⊓ y ⊔ z \ x ⊓ z \ y :=
calc
z \ (x \ y ⊔ y \ x) = z \ (x \ y) ⊓ z \ (y \ x) := sdiff_sup
_ = (z \ x ⊔ z ⊓ x ⊓ y) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by rw [sdiff_sdiff_right, sdiff_sdiff_right]
_ = (z \ x ⊔ z ⊓ y ⊓ x) ⊓ (z \ y ⊔ z ⊓ y ⊓ x) := by ac_rfl
_ = z \ x ⊓ z \ y ⊔ z ⊓ y ⊓ x := by rw [← sup_inf_right]
_ = z ⊓ x ⊓ y ⊔ z \ x ⊓ z \ y := by ac_rfl
#align sdiff_sdiff_sup_sdiff' sdiff_sdiff_sup_sdiff'
lemma sdiff_sdiff_sdiff_cancel_left (hca : z ≤ x) : (x \ y) \ (x \ z) = z \ y :=
sdiff_sdiff_sdiff_le_sdiff.antisymm <|
(disjoint_sdiff_self_right.mono_left sdiff_le).le_sdiff_of_le_left <| sdiff_le_sdiff_right hca
lemma sdiff_sdiff_sdiff_cancel_right (hcb : z ≤ y) : (x \ z) \ (y \ z) = x \ y := by
rw [le_antisymm_iff, sdiff_le_comm]
exact ⟨sdiff_sdiff_sdiff_le_sdiff,
(disjoint_sdiff_self_left.mono_right sdiff_le).le_sdiff_of_le_left <| sdiff_le_sdiff_left hcb⟩
theorem inf_sdiff : (x ⊓ y) \ z = x \ z ⊓ y \ z :=
sdiff_unique
(calc
x ⊓ y ⊓ z ⊔ x \ z ⊓ y \ z = (x ⊓ y ⊓ z ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by rw [sup_inf_left]
_ = (x ⊓ y ⊓ (z ⊔ x) ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by
rw [sup_inf_right, sup_sdiff_self_right, inf_sup_right, inf_sdiff_sup_right]
_ = (y ⊓ (x ⊓ (x ⊔ z)) ⊔ x \ z) ⊓ (x ⊓ y ⊓ z ⊔ y \ z) := by ac_rfl
_ = (y ⊓ x ⊔ x \ z) ⊓ (x ⊓ y ⊔ y \ z) := by rw [inf_sup_self, sup_inf_inf_sdiff]
_ = x ⊓ y ⊔ x \ z ⊓ y \ z := by rw [inf_comm y, sup_inf_left]
_ = x ⊓ y := sup_eq_left.2 (inf_le_inf sdiff_le sdiff_le))
(calc
x ⊓ y ⊓ z ⊓ (x \ z ⊓ y \ z) = x ⊓ y ⊓ (z ⊓ x \ z) ⊓ y \ z := by ac_rfl
_ = ⊥ := by rw [inf_sdiff_self_right, inf_bot_eq, bot_inf_eq])
#align inf_sdiff inf_sdiff
| Mathlib/Order/BooleanAlgebra.lean | 450 | 458 | theorem inf_sdiff_assoc : (x ⊓ y) \ z = x ⊓ y \ z :=
sdiff_unique
(calc
x ⊓ y ⊓ z ⊔ x ⊓ y \ z = x ⊓ (y ⊓ z) ⊔ x ⊓ y \ z := by | rw [inf_assoc]
_ = x ⊓ (y ⊓ z ⊔ y \ z) := by rw [← inf_sup_left]
_ = x ⊓ y := by rw [sup_inf_sdiff])
(calc
x ⊓ y ⊓ z ⊓ (x ⊓ y \ z) = x ⊓ x ⊓ (y ⊓ z ⊓ y \ z) := by ac_rfl
_ = ⊥ := by rw [inf_inf_sdiff, inf_bot_eq])
|
import Mathlib.Algebra.Field.Opposite
import Mathlib.Algebra.Group.Subgroup.ZPowers
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Algebra.Ring.NegOnePow
import Mathlib.Algebra.Order.Archimedean
import Mathlib.GroupTheory.Coset
#align_import algebra.periodic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e"
variable {α β γ : Type*} {f g : α → β} {c c₁ c₂ x : α}
open Set
namespace Function
@[simp]
def Periodic [Add α] (f : α → β) (c : α) : Prop :=
∀ x : α, f (x + c) = f x
#align function.periodic Function.Periodic
protected theorem Periodic.funext [Add α] (h : Periodic f c) : (fun x => f (x + c)) = f :=
funext h
#align function.periodic.funext Function.Periodic.funext
protected theorem Periodic.comp [Add α] (h : Periodic f c) (g : β → γ) : Periodic (g ∘ f) c := by
simp_all
#align function.periodic.comp Function.Periodic.comp
theorem Periodic.comp_addHom [Add α] [Add γ] (h : Periodic f c) (g : AddHom γ α) (g_inv : α → γ)
(hg : RightInverse g_inv g) : Periodic (f ∘ g) (g_inv c) := fun x => by
simp only [hg c, h (g x), map_add, comp_apply]
#align function.periodic.comp_add_hom Function.Periodic.comp_addHom
@[to_additive]
protected theorem Periodic.mul [Add α] [Mul β] (hf : Periodic f c) (hg : Periodic g c) :
Periodic (f * g) c := by simp_all
#align function.periodic.mul Function.Periodic.mul
#align function.periodic.add Function.Periodic.add
@[to_additive]
protected theorem Periodic.div [Add α] [Div β] (hf : Periodic f c) (hg : Periodic g c) :
Periodic (f / g) c := by simp_all
#align function.periodic.div Function.Periodic.div
#align function.periodic.sub Function.Periodic.sub
@[to_additive]
theorem _root_.List.periodic_prod [Add α] [Monoid β] (l : List (α → β))
(hl : ∀ f ∈ l, Periodic f c) : Periodic l.prod c := by
induction' l with g l ih hl
· simp
· rw [List.forall_mem_cons] at hl
simpa only [List.prod_cons] using hl.1.mul (ih hl.2)
#align list.periodic_prod List.periodic_prod
#align list.periodic_sum List.periodic_sum
@[to_additive]
theorem _root_.Multiset.periodic_prod [Add α] [CommMonoid β] (s : Multiset (α → β))
(hs : ∀ f ∈ s, Periodic f c) : Periodic s.prod c :=
(s.prod_toList ▸ s.toList.periodic_prod) fun f hf => hs f <| Multiset.mem_toList.mp hf
#align multiset.periodic_prod Multiset.periodic_prod
#align multiset.periodic_sum Multiset.periodic_sum
@[to_additive]
theorem _root_.Finset.periodic_prod [Add α] [CommMonoid β] {ι : Type*} {f : ι → α → β}
(s : Finset ι) (hs : ∀ i ∈ s, Periodic (f i) c) : Periodic (∏ i ∈ s, f i) c :=
s.prod_to_list f ▸ (s.toList.map f).periodic_prod (by simpa [-Periodic] )
#align finset.periodic_prod Finset.periodic_prod
#align finset.periodic_sum Finset.periodic_sum
@[to_additive]
protected theorem Periodic.smul [Add α] [SMul γ β] (h : Periodic f c) (a : γ) :
Periodic (a • f) c := by simp_all
#align function.periodic.smul Function.Periodic.smul
#align function.periodic.vadd Function.Periodic.vadd
protected theorem Periodic.const_smul [AddMonoid α] [Group γ] [DistribMulAction γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by
simpa only [smul_add, smul_inv_smul] using h (a • x)
#align function.periodic.const_smul Function.Periodic.const_smul
protected theorem Periodic.const_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by
by_cases ha : a = 0
· simp only [ha, zero_smul]
· simpa only [smul_add, smul_inv_smul₀ ha] using h (a • x)
#align function.periodic.const_smul₀ Function.Periodic.const_smul₀
protected theorem Periodic.const_mul [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a * x)) (a⁻¹ * c) :=
Periodic.const_smul₀ h a
#align function.periodic.const_mul Function.Periodic.const_mul
theorem Periodic.const_inv_smul [AddMonoid α] [Group γ] [DistribMulAction γ α] (h : Periodic f c)
(a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by
simpa only [inv_inv] using h.const_smul a⁻¹
#align function.periodic.const_inv_smul Function.Periodic.const_inv_smul
theorem Periodic.const_inv_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α]
(h : Periodic f c) (a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by
simpa only [inv_inv] using h.const_smul₀ a⁻¹
#align function.periodic.const_inv_smul₀ Function.Periodic.const_inv_smul₀
theorem Periodic.const_inv_mul [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a⁻¹ * x)) (a * c) :=
h.const_inv_smul₀ a
#align function.periodic.const_inv_mul Function.Periodic.const_inv_mul
theorem Periodic.mul_const [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a)) (c * a⁻¹) :=
h.const_smul₀ (MulOpposite.op a)
#align function.periodic.mul_const Function.Periodic.mul_const
theorem Periodic.mul_const' [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a)) (c / a) := by simpa only [div_eq_mul_inv] using h.mul_const a
#align function.periodic.mul_const' Function.Periodic.mul_const'
theorem Periodic.mul_const_inv [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x * a⁻¹)) (c * a) :=
h.const_inv_smul₀ (MulOpposite.op a)
#align function.periodic.mul_const_inv Function.Periodic.mul_const_inv
theorem Periodic.div_const [DivisionSemiring α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x / a)) (c * a) := by simpa only [div_eq_mul_inv] using h.mul_const_inv a
#align function.periodic.div_const Function.Periodic.div_const
theorem Periodic.add_period [AddSemigroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) :
Periodic f (c₁ + c₂) := by simp_all [← add_assoc]
#align function.periodic.add_period Function.Periodic.add_period
theorem Periodic.sub_eq [AddGroup α] (h : Periodic f c) (x : α) : f (x - c) = f x := by
simpa only [sub_add_cancel] using (h (x - c)).symm
#align function.periodic.sub_eq Function.Periodic.sub_eq
theorem Periodic.sub_eq' [AddCommGroup α] (h : Periodic f c) : f (c - x) = f (-x) := by
simpa only [sub_eq_neg_add] using h (-x)
#align function.periodic.sub_eq' Function.Periodic.sub_eq'
protected theorem Periodic.neg [AddGroup α] (h : Periodic f c) : Periodic f (-c) := by
simpa only [sub_eq_add_neg, Periodic] using h.sub_eq
#align function.periodic.neg Function.Periodic.neg
theorem Periodic.sub_period [AddGroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) :
Periodic f (c₁ - c₂) := fun x => by
rw [sub_eq_add_neg, ← add_assoc, h2.neg, h1]
#align function.periodic.sub_period Function.Periodic.sub_period
theorem Periodic.const_add [AddSemigroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a + x)) c := fun x => by simpa [add_assoc] using h (a + x)
#align function.periodic.const_add Function.Periodic.const_add
theorem Periodic.add_const [AddCommSemigroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x + a)) c := fun x => by
simpa only [add_right_comm] using h (x + a)
#align function.periodic.add_const Function.Periodic.add_const
theorem Periodic.const_sub [AddCommGroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (a - x)) c := fun x => by
simp only [← sub_sub, h.sub_eq]
#align function.periodic.const_sub Function.Periodic.const_sub
theorem Periodic.sub_const [AddCommGroup α] (h : Periodic f c) (a : α) :
Periodic (fun x => f (x - a)) c := by
simpa only [sub_eq_add_neg] using h.add_const (-a)
#align function.periodic.sub_const Function.Periodic.sub_const
theorem Periodic.nsmul [AddMonoid α] (h : Periodic f c) (n : ℕ) : Periodic f (n • c) := by
induction n <;> simp_all [Nat.succ_eq_add_one, add_nsmul, ← add_assoc, zero_nsmul]
#align function.periodic.nsmul Function.Periodic.nsmul
theorem Periodic.nat_mul [Semiring α] (h : Periodic f c) (n : ℕ) : Periodic f (n * c) := by
simpa only [nsmul_eq_mul] using h.nsmul n
#align function.periodic.nat_mul Function.Periodic.nat_mul
theorem Periodic.neg_nsmul [AddGroup α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n • c)) :=
(h.nsmul n).neg
#align function.periodic.neg_nsmul Function.Periodic.neg_nsmul
theorem Periodic.neg_nat_mul [Ring α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n * c)) :=
(h.nat_mul n).neg
#align function.periodic.neg_nat_mul Function.Periodic.neg_nat_mul
theorem Periodic.sub_nsmul_eq [AddGroup α] (h : Periodic f c) (n : ℕ) : f (x - n • c) = f x := by
simpa only [sub_eq_add_neg] using h.neg_nsmul n x
#align function.periodic.sub_nsmul_eq Function.Periodic.sub_nsmul_eq
theorem Periodic.sub_nat_mul_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (x - n * c) = f x := by
simpa only [nsmul_eq_mul] using h.sub_nsmul_eq n
#align function.periodic.sub_nat_mul_eq Function.Periodic.sub_nat_mul_eq
theorem Periodic.nsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℕ) :
f (n • c - x) = f (-x) :=
(h.nsmul n).sub_eq'
#align function.periodic.nsmul_sub_eq Function.Periodic.nsmul_sub_eq
theorem Periodic.nat_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (n * c - x) = f (-x) := by
simpa only [sub_eq_neg_add] using h.nat_mul n (-x)
#align function.periodic.nat_mul_sub_eq Function.Periodic.nat_mul_sub_eq
protected theorem Periodic.zsmul [AddGroup α] (h : Periodic f c) (n : ℤ) : Periodic f (n • c) := by
cases' n with n n
· simpa only [Int.ofNat_eq_coe, natCast_zsmul] using h.nsmul n
· simpa only [negSucc_zsmul] using (h.nsmul (n + 1)).neg
#align function.periodic.zsmul Function.Periodic.zsmul
protected theorem Periodic.int_mul [Ring α] (h : Periodic f c) (n : ℤ) : Periodic f (n * c) := by
simpa only [zsmul_eq_mul] using h.zsmul n
#align function.periodic.int_mul Function.Periodic.int_mul
theorem Periodic.sub_zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (x - n • c) = f x :=
(h.zsmul n).sub_eq x
#align function.periodic.sub_zsmul_eq Function.Periodic.sub_zsmul_eq
theorem Periodic.sub_int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (x - n * c) = f x :=
(h.int_mul n).sub_eq x
#align function.periodic.sub_int_mul_eq Function.Periodic.sub_int_mul_eq
theorem Periodic.zsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℤ) :
f (n • c - x) = f (-x) :=
(h.zsmul _).sub_eq'
#align function.periodic.zsmul_sub_eq Function.Periodic.zsmul_sub_eq
theorem Periodic.int_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c - x) = f (-x) :=
(h.int_mul _).sub_eq'
#align function.periodic.int_mul_sub_eq Function.Periodic.int_mul_sub_eq
protected theorem Periodic.eq [AddZeroClass α] (h : Periodic f c) : f c = f 0 := by
simpa only [zero_add] using h 0
#align function.periodic.eq Function.Periodic.eq
protected theorem Periodic.neg_eq [AddGroup α] (h : Periodic f c) : f (-c) = f 0 :=
h.neg.eq
#align function.periodic.neg_eq Function.Periodic.neg_eq
protected theorem Periodic.nsmul_eq [AddMonoid α] (h : Periodic f c) (n : ℕ) : f (n • c) = f 0 :=
(h.nsmul n).eq
#align function.periodic.nsmul_eq Function.Periodic.nsmul_eq
theorem Periodic.nat_mul_eq [Semiring α] (h : Periodic f c) (n : ℕ) : f (n * c) = f 0 :=
(h.nat_mul n).eq
#align function.periodic.nat_mul_eq Function.Periodic.nat_mul_eq
theorem Periodic.zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (n • c) = f 0 :=
(h.zsmul n).eq
#align function.periodic.zsmul_eq Function.Periodic.zsmul_eq
theorem Periodic.int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c) = f 0 :=
(h.int_mul n).eq
#align function.periodic.int_mul_eq Function.Periodic.int_mul_eq
theorem Periodic.exists_mem_Ico₀ [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x) : ∃ y ∈ Ico 0 c, f x = f y :=
let ⟨n, H, _⟩ := existsUnique_zsmul_near_of_pos' hc x
⟨x - n • c, H, (h.sub_zsmul_eq n).symm⟩
#align function.periodic.exists_mem_Ico₀ Function.Periodic.exists_mem_Ico₀
theorem Periodic.exists_mem_Ico [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x a) : ∃ y ∈ Ico a (a + c), f x = f y :=
let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ico hc x a
⟨x + n • c, H, (h.zsmul n x).symm⟩
#align function.periodic.exists_mem_Ico Function.Periodic.exists_mem_Ico
theorem Periodic.exists_mem_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (x a) : ∃ y ∈ Ioc a (a + c), f x = f y :=
let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ioc hc x a
⟨x + n • c, H, (h.zsmul n x).symm⟩
#align function.periodic.exists_mem_Ioc Function.Periodic.exists_mem_Ioc
theorem Periodic.image_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (a : α) : f '' Ioc a (a + c) = range f :=
(image_subset_range _ _).antisymm <| range_subset_iff.2 fun x =>
let ⟨y, hy, hyx⟩ := h.exists_mem_Ioc hc x a
⟨y, hy, hyx.symm⟩
#align function.periodic.image_Ioc Function.Periodic.image_Ioc
theorem Periodic.image_Icc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : 0 < c) (a : α) : f '' Icc a (a + c) = range f :=
(image_subset_range _ _).antisymm <| h.image_Ioc hc a ▸ image_subset _ Ioc_subset_Icc_self
theorem Periodic.image_uIcc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c)
(hc : c ≠ 0) (a : α) : f '' uIcc a (a + c) = range f := by
cases hc.lt_or_lt with
| inl hc =>
rw [uIcc_of_ge (add_le_of_nonpos_right hc.le), ← h.neg.image_Icc (neg_pos.2 hc) (a + c),
add_neg_cancel_right]
| inr hc => rw [uIcc_of_le (le_add_of_nonneg_right hc.le), h.image_Icc hc]
theorem periodic_with_period_zero [AddZeroClass α] (f : α → β) : Periodic f 0 := fun x => by
rw [add_zero]
#align function.periodic_with_period_zero Function.periodic_with_period_zero
theorem Periodic.map_vadd_zmultiples [AddCommGroup α] (hf : Periodic f c)
(a : AddSubgroup.zmultiples c) (x : α) : f (a +ᵥ x) = f x := by
rcases a with ⟨_, m, rfl⟩
simp [AddSubgroup.vadd_def, add_comm _ x, hf.zsmul m x]
#align function.periodic.map_vadd_zmultiples Function.Periodic.map_vadd_zmultiples
theorem Periodic.map_vadd_multiples [AddCommMonoid α] (hf : Periodic f c)
(a : AddSubmonoid.multiples c) (x : α) : f (a +ᵥ x) = f x := by
rcases a with ⟨_, m, rfl⟩
simp [AddSubmonoid.vadd_def, add_comm _ x, hf.nsmul m x]
#align function.periodic.map_vadd_multiples Function.Periodic.map_vadd_multiples
def Periodic.lift [AddGroup α] (h : Periodic f c) (x : α ⧸ AddSubgroup.zmultiples c) : β :=
Quotient.liftOn' x f fun a b h' => by
rw [QuotientAddGroup.leftRel_apply] at h'
obtain ⟨k, hk⟩ := h'
exact (h.zsmul k _).symm.trans (congr_arg f (add_eq_of_eq_neg_add hk))
#align function.periodic.lift Function.Periodic.lift
@[simp]
theorem Periodic.lift_coe [AddGroup α] (h : Periodic f c) (a : α) :
h.lift (a : α ⧸ AddSubgroup.zmultiples c) = f a :=
rfl
#align function.periodic.lift_coe Function.Periodic.lift_coe
lemma Periodic.not_injective {R X : Type*} [AddZeroClass R] {f : R → X} {c : R}
(hf : Periodic f c) (hc : c ≠ 0) : ¬ Injective f := fun h ↦ hc <| h hf.eq
@[simp]
def Antiperiodic [Add α] [Neg β] (f : α → β) (c : α) : Prop :=
∀ x : α, f (x + c) = -f x
#align function.antiperiodic Function.Antiperiodic
protected theorem Antiperiodic.funext [Add α] [Neg β] (h : Antiperiodic f c) :
(fun x => f (x + c)) = -f :=
funext h
#align function.antiperiodic.funext Function.Antiperiodic.funext
protected theorem Antiperiodic.funext' [Add α] [InvolutiveNeg β] (h : Antiperiodic f c) :
(fun x => -f (x + c)) = f :=
neg_eq_iff_eq_neg.mpr h.funext
#align function.antiperiodic.funext' Function.Antiperiodic.funext'
protected theorem Antiperiodic.periodic [AddMonoid α] [InvolutiveNeg β]
(h : Antiperiodic f c) : Periodic f (2 • c) := by simp [two_nsmul, ← add_assoc, h _]
protected theorem Antiperiodic.periodic_two_mul [Semiring α] [InvolutiveNeg β]
(h : Antiperiodic f c) : Periodic f (2 * c) := nsmul_eq_mul 2 c ▸ h.periodic
#align function.antiperiodic.periodic Function.Antiperiodic.periodic_two_mul
protected theorem Antiperiodic.eq [AddZeroClass α] [Neg β] (h : Antiperiodic f c) : f c = -f 0 := by
simpa only [zero_add] using h 0
#align function.antiperiodic.eq Function.Antiperiodic.eq
theorem Antiperiodic.even_nsmul_periodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℕ) : Periodic f ((2 * n) • c) := mul_nsmul c 2 n ▸ h.periodic.nsmul n
theorem Antiperiodic.nat_even_mul_periodic [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℕ) : Periodic f (n * (2 * c)) :=
h.periodic_two_mul.nat_mul n
#align function.antiperiodic.nat_even_mul_periodic Function.Antiperiodic.nat_even_mul_periodic
theorem Antiperiodic.odd_nsmul_antiperiodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℕ) : Antiperiodic f ((2 * n + 1) • c) := fun x => by
rw [add_nsmul, one_nsmul, ← add_assoc, h, h.even_nsmul_periodic]
theorem Antiperiodic.nat_odd_mul_antiperiodic [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℕ) : Antiperiodic f (n * (2 * c) + c) := fun x => by
rw [← add_assoc, h, h.nat_even_mul_periodic]
#align function.antiperiodic.nat_odd_mul_antiperiodic Function.Antiperiodic.nat_odd_mul_antiperiodic
theorem Antiperiodic.even_zsmul_periodic [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℤ) : Periodic f ((2 * n) • c) := by
rw [mul_comm, mul_zsmul, two_zsmul, ← two_nsmul]
exact h.periodic.zsmul n
theorem Antiperiodic.int_even_mul_periodic [Ring α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℤ) : Periodic f (n * (2 * c)) :=
h.periodic_two_mul.int_mul n
#align function.antiperiodic.int_even_mul_periodic Function.Antiperiodic.int_even_mul_periodic
theorem Antiperiodic.odd_zsmul_antiperiodic [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℤ) : Antiperiodic f ((2 * n + 1) • c) := by
intro x
rw [add_zsmul, one_zsmul, ← add_assoc, h, h.even_zsmul_periodic]
theorem Antiperiodic.int_odd_mul_antiperiodic [Ring α] [InvolutiveNeg β] (h : Antiperiodic f c)
(n : ℤ) : Antiperiodic f (n * (2 * c) + c) := fun x => by
rw [← add_assoc, h, h.int_even_mul_periodic]
#align function.antiperiodic.int_odd_mul_antiperiodic Function.Antiperiodic.int_odd_mul_antiperiodic
theorem Antiperiodic.sub_eq [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) (x : α) :
f (x - c) = -f x := by simp only [← neg_eq_iff_eq_neg, ← h (x - c), sub_add_cancel]
#align function.antiperiodic.sub_eq Function.Antiperiodic.sub_eq
theorem Antiperiodic.sub_eq' [AddCommGroup α] [Neg β] (h : Antiperiodic f c) :
f (c - x) = -f (-x) := by simpa only [sub_eq_neg_add] using h (-x)
#align function.antiperiodic.sub_eq' Function.Antiperiodic.sub_eq'
protected theorem Antiperiodic.neg [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) :
Antiperiodic f (-c) := by simpa only [sub_eq_add_neg, Antiperiodic] using h.sub_eq
#align function.antiperiodic.neg Function.Antiperiodic.neg
theorem Antiperiodic.neg_eq [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) :
f (-c) = -f 0 := by
simpa only [zero_add] using h.neg 0
#align function.antiperiodic.neg_eq Function.Antiperiodic.neg_eq
theorem Antiperiodic.nat_mul_eq_of_eq_zero [Semiring α] [NegZeroClass β] (h : Antiperiodic f c)
(hi : f 0 = 0) : ∀ n : ℕ, f (n * c) = 0
| 0 => by rwa [Nat.cast_zero, zero_mul]
| n + 1 => by simp [add_mul, h _, Antiperiodic.nat_mul_eq_of_eq_zero h hi n]
#align function.antiperiodic.nat_mul_eq_of_eq_zero Function.Antiperiodic.nat_mul_eq_of_eq_zero
theorem Antiperiodic.int_mul_eq_of_eq_zero [Ring α] [SubtractionMonoid β] (h : Antiperiodic f c)
(hi : f 0 = 0) : ∀ n : ℤ, f (n * c) = 0
| (n : ℕ) => by rw [Int.cast_natCast, h.nat_mul_eq_of_eq_zero hi n]
| .negSucc n => by rw [Int.cast_negSucc, neg_mul, ← mul_neg, h.neg.nat_mul_eq_of_eq_zero hi]
#align function.antiperiodic.int_mul_eq_of_eq_zero Function.Antiperiodic.int_mul_eq_of_eq_zero
theorem Antiperiodic.add_zsmul_eq [AddGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℤ) :
f (x + n • c) = (n.negOnePow : ℤ) • f x := by
rcases Int.even_or_odd' n with ⟨k, rfl | rfl⟩
· rw [h.even_zsmul_periodic, Int.negOnePow_two_mul, Units.val_one, one_zsmul]
· rw [h.odd_zsmul_antiperiodic, Int.negOnePow_two_mul_add_one, Units.val_neg,
Units.val_one, neg_zsmul, one_zsmul]
theorem Antiperiodic.sub_zsmul_eq [AddGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℤ) :
f (x - n • c) = (n.negOnePow : ℤ) • f x := by
simpa only [sub_eq_add_neg, neg_zsmul, Int.negOnePow_neg] using h.add_zsmul_eq (-n)
theorem Antiperiodic.zsmul_sub_eq [AddCommGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℤ) :
f (n • c - x) = (n.negOnePow : ℤ) • f (-x) := by
rw [sub_eq_add_neg, add_comm]
exact h.add_zsmul_eq n
theorem Antiperiodic.add_int_mul_eq [Ring α] [Ring β] (h : Antiperiodic f c) (n : ℤ) :
f (x + n * c) = (n.negOnePow : ℤ) * f x := by simpa only [zsmul_eq_mul] using h.add_zsmul_eq n
theorem Antiperiodic.sub_int_mul_eq [Ring α] [Ring β] (h : Antiperiodic f c) (n : ℤ) :
f (x - n * c) = (n.negOnePow : ℤ) * f x := by simpa only [zsmul_eq_mul] using h.sub_zsmul_eq n
theorem Antiperiodic.int_mul_sub_eq [Ring α] [Ring β] (h : Antiperiodic f c) (n : ℤ) :
f (n * c - x) = (n.negOnePow : ℤ) * f (-x) := by
simpa only [zsmul_eq_mul] using h.zsmul_sub_eq n
| Mathlib/Algebra/Periodic.lean | 484 | 489 | theorem Antiperiodic.add_nsmul_eq [AddMonoid α] [AddGroup β] (h : Antiperiodic f c) (n : ℕ) :
f (x + n • c) = (-1) ^ n • f x := by |
rcases Nat.even_or_odd' n with ⟨k, rfl | rfl⟩
· rw [h.even_nsmul_periodic, pow_mul, (by norm_num : (-1) ^ 2 = 1), one_pow, one_zsmul]
· rw [h.odd_nsmul_antiperiodic, pow_add, pow_mul, (by norm_num : (-1) ^ 2 = 1), one_pow,
pow_one, one_mul, neg_zsmul, one_zsmul]
|
import Mathlib.Algebra.CharP.Two
import Mathlib.Algebra.CharP.Reduced
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.GroupTheory.SpecificGroups.Cyclic
import Mathlib.NumberTheory.Divisors
import Mathlib.RingTheory.IntegralDomain
import Mathlib.Tactic.Zify
#align_import ring_theory.roots_of_unity.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
open scoped Classical Polynomial
noncomputable section
open Polynomial
open Finset
variable {M N G R S F : Type*}
variable [CommMonoid M] [CommMonoid N] [DivisionCommMonoid G]
section rootsOfUnity
variable {k l : ℕ+}
def rootsOfUnity (k : ℕ+) (M : Type*) [CommMonoid M] : Subgroup Mˣ where
carrier := {ζ | ζ ^ (k : ℕ) = 1}
one_mem' := one_pow _
mul_mem' _ _ := by simp_all only [Set.mem_setOf_eq, mul_pow, one_mul]
inv_mem' _ := by simp_all only [Set.mem_setOf_eq, inv_pow, inv_one]
#align roots_of_unity rootsOfUnity
@[simp]
theorem mem_rootsOfUnity (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ ζ ^ (k : ℕ) = 1 :=
Iff.rfl
#align mem_roots_of_unity mem_rootsOfUnity
theorem mem_rootsOfUnity' (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ (ζ : M) ^ (k : ℕ) = 1 := by
rw [mem_rootsOfUnity]; norm_cast
#align mem_roots_of_unity' mem_rootsOfUnity'
@[simp]
theorem rootsOfUnity_one (M : Type*) [CommMonoid M] : rootsOfUnity 1 M = ⊥ := by ext; simp
theorem rootsOfUnity.coe_injective {n : ℕ+} :
Function.Injective (fun x : rootsOfUnity n M ↦ x.val.val) :=
Units.ext.comp fun _ _ => Subtype.eq
#align roots_of_unity.coe_injective rootsOfUnity.coe_injective
@[simps! coe_val]
def rootsOfUnity.mkOfPowEq (ζ : M) {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) : rootsOfUnity n M :=
⟨Units.ofPowEqOne ζ n h n.ne_zero, Units.pow_ofPowEqOne _ _⟩
#align roots_of_unity.mk_of_pow_eq rootsOfUnity.mkOfPowEq
#align roots_of_unity.mk_of_pow_eq_coe_coe rootsOfUnity.val_mkOfPowEq_coe
@[simp]
theorem rootsOfUnity.coe_mkOfPowEq {ζ : M} {n : ℕ+} (h : ζ ^ (n : ℕ) = 1) :
((rootsOfUnity.mkOfPowEq _ h : Mˣ) : M) = ζ :=
rfl
#align roots_of_unity.coe_mk_of_pow_eq rootsOfUnity.coe_mkOfPowEq
theorem rootsOfUnity_le_of_dvd (h : k ∣ l) : rootsOfUnity k M ≤ rootsOfUnity l M := by
obtain ⟨d, rfl⟩ := h
intro ζ h
simp_all only [mem_rootsOfUnity, PNat.mul_coe, pow_mul, one_pow]
#align roots_of_unity_le_of_dvd rootsOfUnity_le_of_dvd
theorem map_rootsOfUnity (f : Mˣ →* Nˣ) (k : ℕ+) : (rootsOfUnity k M).map f ≤ rootsOfUnity k N := by
rintro _ ⟨ζ, h, rfl⟩
simp_all only [← map_pow, mem_rootsOfUnity, SetLike.mem_coe, MonoidHom.map_one]
#align map_roots_of_unity map_rootsOfUnity
@[norm_cast]
theorem rootsOfUnity.coe_pow [CommMonoid R] (ζ : rootsOfUnity k R) (m : ℕ) :
(((ζ ^ m :) : Rˣ) : R) = ((ζ : Rˣ) : R) ^ m := by
rw [Subgroup.coe_pow, Units.val_pow_eq_pow_val]
#align roots_of_unity.coe_pow rootsOfUnity.coe_pow
@[mk_iff IsPrimitiveRoot.iff_def]
structure IsPrimitiveRoot (ζ : M) (k : ℕ) : Prop where
pow_eq_one : ζ ^ (k : ℕ) = 1
dvd_of_pow_eq_one : ∀ l : ℕ, ζ ^ l = 1 → k ∣ l
#align is_primitive_root IsPrimitiveRoot
#align is_primitive_root.iff_def IsPrimitiveRoot.iff_def
@[simps!]
def IsPrimitiveRoot.toRootsOfUnity {μ : M} {n : ℕ+} (h : IsPrimitiveRoot μ n) : rootsOfUnity n M :=
rootsOfUnity.mkOfPowEq μ h.pow_eq_one
#align is_primitive_root.to_roots_of_unity IsPrimitiveRoot.toRootsOfUnity
#align is_primitive_root.coe_to_roots_of_unity_coe IsPrimitiveRoot.val_toRootsOfUnity_coe
#align is_primitive_root.coe_inv_to_roots_of_unity_coe IsPrimitiveRoot.val_inv_toRootsOfUnity_coe
namespace IsPrimitiveRoot
variable {k l : ℕ}
theorem mk_of_lt (ζ : M) (hk : 0 < k) (h1 : ζ ^ k = 1) (h : ∀ l : ℕ, 0 < l → l < k → ζ ^ l ≠ 1) :
IsPrimitiveRoot ζ k := by
refine ⟨h1, fun l hl => ?_⟩
suffices k.gcd l = k by exact this ▸ k.gcd_dvd_right l
rw [eq_iff_le_not_lt]
refine ⟨Nat.le_of_dvd hk (k.gcd_dvd_left l), ?_⟩
intro h'; apply h _ (Nat.gcd_pos_of_pos_left _ hk) h'
exact pow_gcd_eq_one _ h1 hl
#align is_primitive_root.mk_of_lt IsPrimitiveRoot.mk_of_lt
section CommMonoid
variable {ζ : M} {f : F} (h : IsPrimitiveRoot ζ k)
@[nontriviality]
theorem of_subsingleton [Subsingleton M] (x : M) : IsPrimitiveRoot x 1 :=
⟨Subsingleton.elim _ _, fun _ _ => one_dvd _⟩
#align is_primitive_root.of_subsingleton IsPrimitiveRoot.of_subsingleton
theorem pow_eq_one_iff_dvd (l : ℕ) : ζ ^ l = 1 ↔ k ∣ l :=
⟨h.dvd_of_pow_eq_one l, by
rintro ⟨i, rfl⟩; simp only [pow_mul, h.pow_eq_one, one_pow, PNat.mul_coe]⟩
#align is_primitive_root.pow_eq_one_iff_dvd IsPrimitiveRoot.pow_eq_one_iff_dvd
theorem isUnit (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) : IsUnit ζ := by
apply isUnit_of_mul_eq_one ζ (ζ ^ (k - 1))
rw [← pow_succ', tsub_add_cancel_of_le h0.nat_succ_le, h.pow_eq_one]
#align is_primitive_root.is_unit IsPrimitiveRoot.isUnit
theorem pow_ne_one_of_pos_of_lt (h0 : 0 < l) (hl : l < k) : ζ ^ l ≠ 1 :=
mt (Nat.le_of_dvd h0 ∘ h.dvd_of_pow_eq_one _) <| not_le_of_lt hl
#align is_primitive_root.pow_ne_one_of_pos_of_lt IsPrimitiveRoot.pow_ne_one_of_pos_of_lt
theorem ne_one (hk : 1 < k) : ζ ≠ 1 :=
h.pow_ne_one_of_pos_of_lt zero_lt_one hk ∘ (pow_one ζ).trans
#align is_primitive_root.ne_one IsPrimitiveRoot.ne_one
theorem pow_inj (h : IsPrimitiveRoot ζ k) ⦃i j : ℕ⦄ (hi : i < k) (hj : j < k) (H : ζ ^ i = ζ ^ j) :
i = j := by
wlog hij : i ≤ j generalizing i j
· exact (this hj hi H.symm (le_of_not_le hij)).symm
apply le_antisymm hij
rw [← tsub_eq_zero_iff_le]
apply Nat.eq_zero_of_dvd_of_lt _ (lt_of_le_of_lt tsub_le_self hj)
apply h.dvd_of_pow_eq_one
rw [← ((h.isUnit (lt_of_le_of_lt (Nat.zero_le _) hi)).pow i).mul_left_inj, ← pow_add,
tsub_add_cancel_of_le hij, H, one_mul]
#align is_primitive_root.pow_inj IsPrimitiveRoot.pow_inj
theorem one : IsPrimitiveRoot (1 : M) 1 :=
{ pow_eq_one := pow_one _
dvd_of_pow_eq_one := fun _ _ => one_dvd _ }
#align is_primitive_root.one IsPrimitiveRoot.one
@[simp]
theorem one_right_iff : IsPrimitiveRoot ζ 1 ↔ ζ = 1 := by
clear h
constructor
· intro h; rw [← pow_one ζ, h.pow_eq_one]
· rintro rfl; exact one
#align is_primitive_root.one_right_iff IsPrimitiveRoot.one_right_iff
@[simp]
theorem coe_submonoidClass_iff {M B : Type*} [CommMonoid M] [SetLike B M] [SubmonoidClass B M]
{N : B} {ζ : N} : IsPrimitiveRoot (ζ : M) k ↔ IsPrimitiveRoot ζ k := by
simp_rw [iff_def]
norm_cast
#align is_primitive_root.coe_submonoid_class_iff IsPrimitiveRoot.coe_submonoidClass_iff
@[simp]
theorem coe_units_iff {ζ : Mˣ} : IsPrimitiveRoot (ζ : M) k ↔ IsPrimitiveRoot ζ k := by
simp only [iff_def, Units.ext_iff, Units.val_pow_eq_pow_val, Units.val_one]
#align is_primitive_root.coe_units_iff IsPrimitiveRoot.coe_units_iff
lemma isUnit_unit {ζ : M} {n} (hn) (hζ : IsPrimitiveRoot ζ n) :
IsPrimitiveRoot (hζ.isUnit hn).unit n := coe_units_iff.mp hζ
lemma isUnit_unit' {ζ : G} {n} (hn) (hζ : IsPrimitiveRoot ζ n) :
IsPrimitiveRoot (hζ.isUnit hn).unit' n := coe_units_iff.mp hζ
-- Porting note `variable` above already contains `(h : IsPrimitiveRoot ζ k)`
theorem pow_of_coprime (i : ℕ) (hi : i.Coprime k) : IsPrimitiveRoot (ζ ^ i) k := by
by_cases h0 : k = 0
· subst k; simp_all only [pow_one, Nat.coprime_zero_right]
rcases h.isUnit (Nat.pos_of_ne_zero h0) with ⟨ζ, rfl⟩
rw [← Units.val_pow_eq_pow_val]
rw [coe_units_iff] at h ⊢
refine
{ pow_eq_one := by rw [← pow_mul', pow_mul, h.pow_eq_one, one_pow]
dvd_of_pow_eq_one := ?_ }
intro l hl
apply h.dvd_of_pow_eq_one
rw [← pow_one ζ, ← zpow_natCast ζ, ← hi.gcd_eq_one, Nat.gcd_eq_gcd_ab, zpow_add, mul_pow,
← zpow_natCast, ← zpow_mul, mul_right_comm]
simp only [zpow_mul, hl, h.pow_eq_one, one_zpow, one_pow, one_mul, zpow_natCast]
#align is_primitive_root.pow_of_coprime IsPrimitiveRoot.pow_of_coprime
theorem pow_of_prime (h : IsPrimitiveRoot ζ k) {p : ℕ} (hprime : Nat.Prime p) (hdiv : ¬p ∣ k) :
IsPrimitiveRoot (ζ ^ p) k :=
h.pow_of_coprime p (hprime.coprime_iff_not_dvd.2 hdiv)
#align is_primitive_root.pow_of_prime IsPrimitiveRoot.pow_of_prime
| Mathlib/RingTheory/RootsOfUnity/Basic.lean | 437 | 450 | theorem pow_iff_coprime (h : IsPrimitiveRoot ζ k) (h0 : 0 < k) (i : ℕ) :
IsPrimitiveRoot (ζ ^ i) k ↔ i.Coprime k := by |
refine ⟨?_, h.pow_of_coprime i⟩
intro hi
obtain ⟨a, ha⟩ := i.gcd_dvd_left k
obtain ⟨b, hb⟩ := i.gcd_dvd_right k
suffices b = k by
-- Porting note: was `rwa [this, ← one_mul k, mul_left_inj' h0.ne', eq_comm] at hb`
rw [this, eq_comm, Nat.mul_left_eq_self_iff h0] at hb
rwa [Nat.Coprime]
rw [ha] at hi
rw [mul_comm] at hb
apply Nat.dvd_antisymm ⟨i.gcd k, hb⟩ (hi.dvd_of_pow_eq_one b _)
rw [← pow_mul', ← mul_assoc, ← hb, pow_mul, h.pow_eq_one, one_pow]
|
import Mathlib.Data.ZMod.Quotient
import Mathlib.GroupTheory.NoncommPiCoprod
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.Algebra.GCDMonoid.Finset
import Mathlib.Algebra.GCDMonoid.Nat
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Tactic.ByContra
import Mathlib.Tactic.Peel
#align_import group_theory.exponent from "leanprover-community/mathlib"@"52fa514ec337dd970d71d8de8d0fd68b455a1e54"
universe u
variable {G : Type u}
open scoped Classical
namespace Monoid
section Monoid
variable (G) [Monoid G]
@[to_additive
"A predicate on an additive monoid saying that there is a positive integer `n` such\n
that `n • g = 0` for all `g`."]
def ExponentExists :=
∃ n, 0 < n ∧ ∀ g : G, g ^ n = 1
#align monoid.exponent_exists Monoid.ExponentExists
#align add_monoid.exponent_exists AddMonoid.ExponentExists
@[to_additive
"The exponent of an additive group is the smallest positive integer `n` such that\n
`n • g = 0` for all `g ∈ G` if it exists, otherwise it is zero by convention."]
noncomputable def exponent :=
if h : ExponentExists G then Nat.find h else 0
#align monoid.exponent Monoid.exponent
#align add_monoid.exponent AddMonoid.exponent
variable {G}
@[simp]
theorem _root_.AddMonoid.exponent_additive :
AddMonoid.exponent (Additive G) = exponent G := rfl
@[simp]
theorem exponent_multiplicative {G : Type*} [AddMonoid G] :
exponent (Multiplicative G) = AddMonoid.exponent G := rfl
open MulOpposite in
@[to_additive (attr := simp)]
theorem _root_.MulOpposite.exponent : exponent (MulOpposite G) = exponent G := by
simp only [Monoid.exponent, ExponentExists]
congr!
all_goals exact ⟨(op_injective <| · <| op ·), (unop_injective <| · <| unop ·)⟩
@[to_additive]
theorem ExponentExists.isOfFinOrder (h : ExponentExists G) {g : G} : IsOfFinOrder g :=
isOfFinOrder_iff_pow_eq_one.mpr <| by peel 2 h; exact this g
@[to_additive]
theorem ExponentExists.orderOf_pos (h : ExponentExists G) (g : G) : 0 < orderOf g :=
h.isOfFinOrder.orderOf_pos
@[to_additive]
theorem exponent_ne_zero : exponent G ≠ 0 ↔ ExponentExists G := by
rw [exponent]
split_ifs with h
· simp [h, @not_lt_zero' ℕ]
--if this isn't done this way, `to_additive` freaks
· tauto
#align monoid.exponent_exists_iff_ne_zero Monoid.exponent_ne_zero
#align add_monoid.exponent_exists_iff_ne_zero AddMonoid.exponent_ne_zero
@[to_additive]
protected alias ⟨_, ExponentExists.exponent_ne_zero⟩ := exponent_ne_zero
@[to_additive (attr := deprecated (since := "2024-01-27"))]
theorem exponentExists_iff_ne_zero : ExponentExists G ↔ exponent G ≠ 0 := exponent_ne_zero.symm
@[to_additive]
theorem exponent_pos : 0 < exponent G ↔ ExponentExists G :=
pos_iff_ne_zero.trans exponent_ne_zero
@[to_additive]
protected alias ⟨_, ExponentExists.exponent_pos⟩ := exponent_pos
@[to_additive]
theorem exponent_eq_zero_iff : exponent G = 0 ↔ ¬ExponentExists G :=
exponent_ne_zero.not_right
#align monoid.exponent_eq_zero_iff Monoid.exponent_eq_zero_iff
#align add_monoid.exponent_eq_zero_iff AddMonoid.exponent_eq_zero_iff
@[to_additive exponent_eq_zero_addOrder_zero]
theorem exponent_eq_zero_of_order_zero {g : G} (hg : orderOf g = 0) : exponent G = 0 :=
exponent_eq_zero_iff.mpr fun h ↦ h.orderOf_pos g |>.ne' hg
#align monoid.exponent_eq_zero_of_order_zero Monoid.exponent_eq_zero_of_order_zero
#align add_monoid.exponent_eq_zero_of_order_zero AddMonoid.exponent_eq_zero_addOrder_zero
@[to_additive "The exponent is zero iff for all nonzero `n`, one can find a `g` such that
`n • g ≠ 0`."]
theorem exponent_eq_zero_iff_forall : exponent G = 0 ↔ ∀ n > 0, ∃ g : G, g ^ n ≠ 1 := by
rw [exponent_eq_zero_iff, ExponentExists]
push_neg
rfl
@[to_additive exponent_nsmul_eq_zero]
theorem pow_exponent_eq_one (g : G) : g ^ exponent G = 1 := by
by_cases h : ExponentExists G
· simp_rw [exponent, dif_pos h]
exact (Nat.find_spec h).2 g
· simp_rw [exponent, dif_neg h, pow_zero]
#align monoid.pow_exponent_eq_one Monoid.pow_exponent_eq_one
#align add_monoid.exponent_nsmul_eq_zero AddMonoid.exponent_nsmul_eq_zero
@[to_additive]
theorem pow_eq_mod_exponent {n : ℕ} (g : G) : g ^ n = g ^ (n % exponent G) :=
calc
g ^ n = g ^ (n % exponent G + exponent G * (n / exponent G)) := by rw [Nat.mod_add_div]
_ = g ^ (n % exponent G) := by simp [pow_add, pow_mul, pow_exponent_eq_one]
#align monoid.pow_eq_mod_exponent Monoid.pow_eq_mod_exponent
#align add_monoid.nsmul_eq_mod_exponent AddMonoid.nsmul_eq_mod_exponent
@[to_additive]
theorem exponent_pos_of_exists (n : ℕ) (hpos : 0 < n) (hG : ∀ g : G, g ^ n = 1) :
0 < exponent G :=
ExponentExists.exponent_pos ⟨n, hpos, hG⟩
#align monoid.exponent_pos_of_exists Monoid.exponent_pos_of_exists
#align add_monoid.exponent_pos_of_exists AddMonoid.exponent_pos_of_exists
@[to_additive]
theorem exponent_min' (n : ℕ) (hpos : 0 < n) (hG : ∀ g : G, g ^ n = 1) : exponent G ≤ n := by
rw [exponent, dif_pos]
· apply Nat.find_min'
exact ⟨hpos, hG⟩
· exact ⟨n, hpos, hG⟩
#align monoid.exponent_min' Monoid.exponent_min'
#align add_monoid.exponent_min' AddMonoid.exponent_min'
@[to_additive]
theorem exponent_min (m : ℕ) (hpos : 0 < m) (hm : m < exponent G) : ∃ g : G, g ^ m ≠ 1 := by
by_contra! h
have hcon : exponent G ≤ m := exponent_min' m hpos h
omega
#align monoid.exponent_min Monoid.exponent_min
#align add_monoid.exponent_min AddMonoid.exponent_min
@[to_additive AddMonoid.exp_eq_one_iff]
theorem exp_eq_one_iff : exponent G = 1 ↔ Subsingleton G := by
refine ⟨fun eq_one => ⟨fun a b => ?a_eq_b⟩, fun h => le_antisymm ?le ?ge⟩
· rw [← pow_one a, ← pow_one b, ← eq_one, Monoid.pow_exponent_eq_one, Monoid.pow_exponent_eq_one]
· apply exponent_min' _ Nat.one_pos
simp [eq_iff_true_of_subsingleton]
· apply Nat.succ_le_of_lt
apply exponent_pos_of_exists 1 Nat.one_pos
simp [eq_iff_true_of_subsingleton]
@[to_additive (attr := simp) AddMonoid.exp_eq_one_of_subsingleton]
theorem exp_eq_one_of_subsingleton [hs : Subsingleton G] : exponent G = 1 :=
exp_eq_one_iff.mpr hs
#align monoid.exp_eq_one_of_subsingleton Monoid.exp_eq_one_of_subsingleton
#align add_monoid.exp_eq_zero_of_subsingleton AddMonoid.exp_eq_one_of_subsingleton
@[to_additive addOrder_dvd_exponent]
theorem order_dvd_exponent (g : G) : orderOf g ∣ exponent G :=
orderOf_dvd_of_pow_eq_one <| pow_exponent_eq_one g
#align monoid.order_dvd_exponent Monoid.order_dvd_exponent
#align add_monoid.add_order_dvd_exponent AddMonoid.addOrder_dvd_exponent
@[to_additive]
theorem orderOf_le_exponent (h : ExponentExists G) (g : G) : orderOf g ≤ exponent G :=
Nat.le_of_dvd h.exponent_pos (order_dvd_exponent g)
@[to_additive]
theorem exponent_dvd_iff_forall_pow_eq_one {n : ℕ} : exponent G ∣ n ↔ ∀ g : G, g ^ n = 1 := by
rcases n.eq_zero_or_pos with (rfl | hpos)
· simp
constructor
· intro h g
rw [Nat.dvd_iff_mod_eq_zero] at h
rw [pow_eq_mod_exponent, h, pow_zero]
· intro hG
by_contra h
rw [Nat.dvd_iff_mod_eq_zero, ← Ne, ← pos_iff_ne_zero] at h
have h₂ : n % exponent G < exponent G := Nat.mod_lt _ (exponent_pos_of_exists n hpos hG)
have h₃ : exponent G ≤ n % exponent G := by
apply exponent_min' _ h
simp_rw [← pow_eq_mod_exponent]
exact hG
exact h₂.not_le h₃
@[to_additive]
alias ⟨_, exponent_dvd_of_forall_pow_eq_one⟩ := exponent_dvd_iff_forall_pow_eq_one
#align monoid.exponent_dvd_of_forall_pow_eq_one Monoid.exponent_dvd_of_forall_pow_eq_one
#align add_monoid.exponent_dvd_of_forall_nsmul_eq_zero AddMonoid.exponent_dvd_of_forall_nsmul_eq_zero
@[to_additive]
theorem exponent_dvd {n : ℕ} : exponent G ∣ n ↔ ∀ g : G, orderOf g ∣ n := by
simp_rw [exponent_dvd_iff_forall_pow_eq_one, orderOf_dvd_iff_pow_eq_one]
variable (G)
@[to_additive (attr := deprecated (since := "2024-01-27"))]
theorem exponent_dvd_of_forall_orderOf_dvd (n : ℕ) (h : ∀ g : G, orderOf g ∣ n) : exponent G ∣ n :=
exponent_dvd.mpr h
@[to_additive]
theorem lcm_orderOf_dvd_exponent [Fintype G] :
(Finset.univ : Finset G).lcm orderOf ∣ exponent G := by
apply Finset.lcm_dvd
intro g _
exact order_dvd_exponent g
#align monoid.lcm_order_of_dvd_exponent Monoid.lcm_orderOf_dvd_exponent
#align add_monoid.lcm_add_order_of_dvd_exponent AddMonoid.lcm_addOrderOf_dvd_exponent
@[to_additive exists_addOrderOf_eq_pow_padic_val_nat_add_exponent]
theorem _root_.Nat.Prime.exists_orderOf_eq_pow_factorization_exponent {p : ℕ} (hp : p.Prime) :
∃ g : G, orderOf g = p ^ (exponent G).factorization p := by
haveI := Fact.mk hp
rcases eq_or_ne ((exponent G).factorization p) 0 with (h | h)
· refine ⟨1, by rw [h, pow_zero, orderOf_one]⟩
have he : 0 < exponent G :=
Ne.bot_lt fun ht => by
rw [ht] at h
apply h
rw [bot_eq_zero, Nat.factorization_zero, Finsupp.zero_apply]
rw [← Finsupp.mem_support_iff] at h
obtain ⟨g, hg⟩ : ∃ g : G, g ^ (exponent G / p) ≠ 1 := by
suffices key : ¬exponent G ∣ exponent G / p by
rwa [exponent_dvd_iff_forall_pow_eq_one, not_forall] at key
exact fun hd =>
hp.one_lt.not_le
((mul_le_iff_le_one_left he).mp <|
Nat.le_of_dvd he <| Nat.mul_dvd_of_dvd_div (Nat.dvd_of_mem_primeFactors h) hd)
obtain ⟨k, hk : exponent G = p ^ _ * k⟩ := Nat.ord_proj_dvd _ _
obtain ⟨t, ht⟩ := Nat.exists_eq_succ_of_ne_zero (Finsupp.mem_support_iff.mp h)
refine ⟨g ^ k, ?_⟩
rw [ht]
apply orderOf_eq_prime_pow
· rwa [hk, mul_comm, ht, pow_succ, ← mul_assoc, Nat.mul_div_cancel _ hp.pos, pow_mul] at hg
· rw [← Nat.succ_eq_add_one, ← ht, ← pow_mul, mul_comm, ← hk]
exact pow_exponent_eq_one g
#align nat.prime.exists_order_of_eq_pow_factorization_exponent Nat.Prime.exists_orderOf_eq_pow_factorization_exponent
#align nat.prime.exists_order_of_eq_pow_padic_val_nat_add_exponent Nat.Prime.exists_addOrderOf_eq_pow_padic_val_nat_add_exponent
variable {G} in
open Nat in
@[to_additive "If two commuting elements `x` and `y` of an additive monoid have order `n` and `m`,
there is an element of order `lcm n m`. The result actually gives an explicit (computable) element,
written as the sum of a multiple of `x` and a multiple of `y`. See also the result below if you
don't need the explicit formula."]
lemma _root_.Commute.orderOf_mul_pow_eq_lcm {x y : G} (h : Commute x y) (hx : orderOf x ≠ 0)
(hy : orderOf y ≠ 0) :
orderOf (x ^ (orderOf x / (factorizationLCMLeft (orderOf x) (orderOf y))) *
y ^ (orderOf y / factorizationLCMRight (orderOf x) (orderOf y))) =
Nat.lcm (orderOf x) (orderOf y) := by
rw [(h.pow_pow _ _).orderOf_mul_eq_mul_orderOf_of_coprime]
all_goals iterate 2 rw [orderOf_pow_orderOf_div]; try rw [Coprime]
all_goals simp [factorizationLCMLeft_mul_factorizationLCMRight, factorizationLCMLeft_dvd_left,
factorizationLCMRight_dvd_right, coprime_factorizationLCMLeft_factorizationLCMRight, hx, hy]
open Submonoid in
@[to_additive "If two commuting elements `x` and `y` of an additive monoid have order `n` and `m`,
then there is an element of order `lcm n m` that lies in the additive subgroup generated by `x`
and `y`."]
theorem _root_.Commute.exists_orderOf_eq_lcm {x y : G} (h : Commute x y) :
∃ z ∈ closure {x, y}, orderOf z = Nat.lcm (orderOf x) (orderOf y) := by
by_cases hx : orderOf x = 0 <;> by_cases hy : orderOf y = 0
· exact ⟨x, subset_closure (by simp), by simp [hx]⟩
· exact ⟨x, subset_closure (by simp), by simp [hx]⟩
· exact ⟨y, subset_closure (by simp), by simp [hy]⟩
· exact ⟨_, mul_mem (pow_mem (subset_closure (by simp)) _) (pow_mem (subset_closure (by simp)) _),
h.orderOf_mul_pow_eq_lcm hx hy⟩
@[to_additive]
lemma exponent_eq_prime_iff {G : Type*} [Monoid G] [Nontrivial G] {p : ℕ} (hp : p.Prime) :
Monoid.exponent G = p ↔ ∀ g : G, g ≠ 1 → orderOf g = p := by
refine ⟨fun hG g hg ↦ ?_, fun h ↦ dvd_antisymm ?_ ?_⟩
· rw [Ne, ← orderOf_eq_one_iff] at hg
exact Eq.symm <| (hp.dvd_iff_eq hg).mp <| hG ▸ Monoid.order_dvd_exponent g
· rw [exponent_dvd]
intro g
by_cases hg : g = 1
· simp [hg]
· rw [h g hg]
· obtain ⟨g, hg⟩ := exists_ne (1 : G)
simpa [h g hg] using Monoid.order_dvd_exponent g
variable {G}
@[to_additive]
theorem exponent_ne_zero_iff_range_orderOf_finite (h : ∀ g : G, 0 < orderOf g) :
exponent G ≠ 0 ↔ (Set.range (orderOf : G → ℕ)).Finite := by
refine ⟨fun he => ?_, fun he => ?_⟩
· by_contra h
obtain ⟨m, ⟨t, rfl⟩, het⟩ := Set.Infinite.exists_gt h (exponent G)
exact pow_ne_one_of_lt_orderOf' he het (pow_exponent_eq_one t)
· lift Set.range (orderOf (G := G)) to Finset ℕ using he with t ht
have htpos : 0 < t.prod id := by
refine Finset.prod_pos fun a ha => ?_
rw [← Finset.mem_coe, ht] at ha
obtain ⟨k, rfl⟩ := ha
exact h k
suffices exponent G ∣ t.prod id by
intro h
rw [h, zero_dvd_iff] at this
exact htpos.ne' this
rw [exponent_dvd]
intro g
apply Finset.dvd_prod_of_mem id (?_ : orderOf g ∈ _)
rw [← Finset.mem_coe, ht]
exact Set.mem_range_self g
#align monoid.exponent_ne_zero_iff_range_order_of_finite Monoid.exponent_ne_zero_iff_range_orderOf_finite
#align add_monoid.exponent_ne_zero_iff_range_order_of_finite AddMonoid.exponent_ne_zero_iff_range_addOrderOf_finite
@[to_additive]
| Mathlib/GroupTheory/Exponent.lean | 369 | 372 | theorem exponent_eq_zero_iff_range_orderOf_infinite (h : ∀ g : G, 0 < orderOf g) :
exponent G = 0 ↔ (Set.range (orderOf : G → ℕ)).Infinite := by |
have := exponent_ne_zero_iff_range_orderOf_finite h
rwa [Ne, not_iff_comm, Iff.comm] at this
|
import Mathlib.Data.Fin.Tuple.Basic
import Mathlib.Logic.Equiv.Fin
import Mathlib.Logic.Function.OfArity
universe u v w w'
namespace Function.FromTypes
open Matrix (vecCons vecHead vecTail vecEmpty)
def uncurry : {n : ℕ} → {p : Fin n → Type u} → {τ : Type u} →
(f : Function.FromTypes p τ) → ((i : Fin n) → p i) → τ
| 0 , _, _, f => fun _ => f
| _ + 1, _, _, f => fun args => (f (args 0)).uncurry (args ∘' Fin.succ)
def curry : {n : ℕ} → {p : Fin n → Type u} → {τ : Type u} →
(((i : Fin n) → p i) → τ) → Function.FromTypes p τ
| 0 , _, _, f => f isEmptyElim
| _ + 1, _, _, f => fun a => curry (fun args => f (Fin.cons a args))
@[simp]
theorem uncurry_apply_cons {n : ℕ} {α} {p : Fin n → Type u} {τ : Type u}
(f : Function.FromTypes (vecCons α p) τ) (a : α) (args : (i : Fin n) → p i) :
uncurry f (Fin.cons a args) = @uncurry _ p _ (f a) args := rfl
@[simp low]
theorem uncurry_apply_succ {n : ℕ} {p : Fin (n + 1) → Type u} {τ : Type u}
(f : Function.FromTypes p τ) (args : (i : Fin (n + 1)) → p i) :
uncurry f args = uncurry (f (args 0)) (Fin.tail args) :=
@uncurry_apply_cons n (p 0) (vecTail p) τ f (args 0) (Fin.tail args)
@[simp]
theorem curry_apply_cons {n : ℕ} {α} {p : Fin n → Type u} {τ : Type u}
(f : ((i : Fin (n + 1)) → (vecCons α p) i) → τ) (a : α) :
curry f a = @curry _ p _ (f ∘' Fin.cons a) := rfl
@[simp low]
theorem curry_apply_succ {n : ℕ} {p : Fin (n + 1) → Type u} {τ : Type u}
(f : ((i : Fin (n + 1)) → p i) → τ) (a : p 0) :
curry f a = curry (f ∘ Fin.cons a) := rfl
variable {n : ℕ} {p : Fin n → Type u} {τ : Type u}
@[simp]
theorem curry_uncurry (f : Function.FromTypes p τ) : curry (uncurry f) = f := by
induction n with
| zero => rfl
| succ n ih => exact funext (ih $ f ·)
@[simp]
| Mathlib/Data/Fin/Tuple/Curry.lean | 79 | 84 | theorem uncurry_curry (f : ((i : Fin n) → p i) → τ) :
uncurry (curry f) = f := by |
ext args
induction n with
| zero => exact congrArg f (Subsingleton.allEq _ _)
| succ n ih => exact Eq.trans (ih _ _) (congrArg f (Fin.cons_self_tail args))
|
import Mathlib.Data.Set.Finite
import Mathlib.GroupTheory.GroupAction.FixedPoints
import Mathlib.GroupTheory.Perm.Support
open Equiv List MulAction Pointwise Set Subgroup
variable {G α : Type*} [Group G] [MulAction G α] [DecidableEq α]
theorem finite_compl_fixedBy_closure_iff {S : Set G} :
(∀ g ∈ closure S, (fixedBy α g)ᶜ.Finite) ↔ ∀ g ∈ S, (fixedBy α g)ᶜ.Finite :=
⟨fun h g hg ↦ h g (subset_closure hg), fun h g hg ↦ by
refine closure_induction hg h (by simp) (fun g g' hg hg' ↦ (hg.union hg').subset ?_) (by simp)
simp_rw [← compl_inter, compl_subset_compl, fixedBy_mul]⟩
theorem finite_compl_fixedBy_swap {x y : α} : (fixedBy α (swap x y))ᶜ.Finite :=
Set.Finite.subset (s := {x, y}) (by simp)
(compl_subset_comm.mp fun z h ↦ by apply swap_apply_of_ne_of_ne <;> rintro rfl <;> simp at h)
theorem Equiv.Perm.IsSwap.finite_compl_fixedBy {σ : Perm α} (h : σ.IsSwap) :
(fixedBy α σ)ᶜ.Finite := by
obtain ⟨x, y, -, rfl⟩ := h
exact finite_compl_fixedBy_swap
-- this result cannot be moved to Perm/Basic since Perm/Basic is not allowed to import Submonoid
| Mathlib/GroupTheory/Perm/ClosureSwap.lean | 47 | 55 | theorem SubmonoidClass.swap_mem_trans {a b c : α} {C} [SetLike C (Perm α)]
[SubmonoidClass C (Perm α)] (M : C) (hab : swap a b ∈ M) (hbc : swap b c ∈ M) :
swap a c ∈ M := by |
obtain rfl | hab' := eq_or_ne a b
· exact hbc
obtain rfl | hac := eq_or_ne a c
· exact swap_self a ▸ one_mem M
rw [swap_comm, ← swap_mul_swap_mul_swap hab' hac]
exact mul_mem (mul_mem hbc hab) hbc
|
namespace Nat
@[reducible] def Coprime (m n : Nat) : Prop := gcd m n = 1
instance (m n : Nat) : Decidable (Coprime m n) := inferInstanceAs (Decidable (_ = 1))
theorem coprime_iff_gcd_eq_one : Coprime m n ↔ gcd m n = 1 := .rfl
theorem Coprime.gcd_eq_one : Coprime m n → gcd m n = 1 := id
theorem Coprime.symm : Coprime n m → Coprime m n := (gcd_comm m n).trans
theorem coprime_comm : Coprime n m ↔ Coprime m n := ⟨Coprime.symm, Coprime.symm⟩
theorem Coprime.dvd_of_dvd_mul_right (H1 : Coprime k n) (H2 : k ∣ m * n) : k ∣ m := by
let t := dvd_gcd (Nat.dvd_mul_left k m) H2
rwa [gcd_mul_left, H1.gcd_eq_one, Nat.mul_one] at t
theorem Coprime.dvd_of_dvd_mul_left (H1 : Coprime k m) (H2 : k ∣ m * n) : k ∣ n :=
H1.dvd_of_dvd_mul_right (by rwa [Nat.mul_comm])
theorem Coprime.gcd_mul_left_cancel (m : Nat) (H : Coprime k n) : gcd (k * m) n = gcd m n :=
have H1 : Coprime (gcd (k * m) n) k := by
rw [Coprime, Nat.gcd_assoc, H.symm.gcd_eq_one, gcd_one_right]
Nat.dvd_antisymm
(dvd_gcd (H1.dvd_of_dvd_mul_left (gcd_dvd_left _ _)) (gcd_dvd_right _ _))
(gcd_dvd_gcd_mul_left _ _ _)
| .lake/packages/batteries/Batteries/Data/Nat/Gcd.lean | 46 | 47 | theorem Coprime.gcd_mul_right_cancel (m : Nat) (H : Coprime k n) : gcd (m * k) n = gcd m n := by |
rw [Nat.mul_comm m k, H.gcd_mul_left_cancel m]
|
import Mathlib.Algebra.Homology.ComplexShape
import Mathlib.CategoryTheory.Subobject.Limits
import Mathlib.CategoryTheory.GradedObject
import Mathlib.Algebra.Homology.ShortComplex.Basic
#align_import algebra.homology.homological_complex from "leanprover-community/mathlib"@"88bca0ce5d22ebfd9e73e682e51d60ea13b48347"
universe v u
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits
variable {ι : Type*}
variable (V : Type u) [Category.{v} V] [HasZeroMorphisms V]
structure HomologicalComplex (c : ComplexShape ι) where
X : ι → V
d : ∀ i j, X i ⟶ X j
shape : ∀ i j, ¬c.Rel i j → d i j = 0 := by aesop_cat
d_comp_d' : ∀ i j k, c.Rel i j → c.Rel j k → d i j ≫ d j k = 0 := by aesop_cat
#align homological_complex HomologicalComplex
abbrev ChainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ :=
HomologicalComplex V (ComplexShape.down α)
#align chain_complex ChainComplex
abbrev CochainComplex (α : Type*) [AddRightCancelSemigroup α] [One α] : Type _ :=
HomologicalComplex V (ComplexShape.up α)
#align cochain_complex CochainComplex
namespace ChainComplex
section Of
variable {V} {α : Type*} [AddRightCancelSemigroup α] [One α] [DecidableEq α]
def of (X : α → V) (d : ∀ n, X (n + 1) ⟶ X n) (sq : ∀ n, d (n + 1) ≫ d n = 0) : ChainComplex V α :=
{ X := X
d := fun i j => if h : i = j + 1 then eqToHom (by rw [h]) ≫ d j else 0
shape := fun i j w => by
dsimp
rw [dif_neg (Ne.symm w)]
d_comp_d' := fun i j k hij hjk => by
dsimp at hij hjk
substs hij hjk
simp only [eqToHom_refl, id_comp, dite_eq_ite, ite_true, sq] }
#align chain_complex.of ChainComplex.of
variable (X : α → V) (d : ∀ n, X (n + 1) ⟶ X n) (sq : ∀ n, d (n + 1) ≫ d n = 0)
@[simp]
theorem of_x (n : α) : (of X d sq).X n = X n :=
rfl
set_option linter.uppercaseLean3 false in
#align chain_complex.of_X ChainComplex.of_x
@[simp]
theorem of_d (j : α) : (of X d sq).d (j + 1) j = d j := by
dsimp [of]
rw [if_pos rfl, Category.id_comp]
#align chain_complex.of_d ChainComplex.of_d
| Mathlib/Algebra/Homology/HomologicalComplex.lean | 722 | 724 | theorem of_d_ne {i j : α} (h : i ≠ j + 1) : (of X d sq).d i j = 0 := by |
dsimp [of]
rw [dif_neg h]
|
import Mathlib.Topology.Separation
import Mathlib.Topology.Bases
#align_import topology.dense_embedding from "leanprover-community/mathlib"@"148aefbd371a25f1cff33c85f20c661ce3155def"
noncomputable section
open Set Filter
open scoped Topology
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
structure DenseInducing [TopologicalSpace α] [TopologicalSpace β] (i : α → β)
extends Inducing i : Prop where
protected dense : DenseRange i
#align dense_inducing DenseInducing
namespace DenseInducing
variable [TopologicalSpace α] [TopologicalSpace β]
variable {i : α → β} (di : DenseInducing i)
theorem nhds_eq_comap (di : DenseInducing i) : ∀ a : α, 𝓝 a = comap i (𝓝 <| i a) :=
di.toInducing.nhds_eq_comap
#align dense_inducing.nhds_eq_comap DenseInducing.nhds_eq_comap
protected theorem continuous (di : DenseInducing i) : Continuous i :=
di.toInducing.continuous
#align dense_inducing.continuous DenseInducing.continuous
theorem closure_range : closure (range i) = univ :=
di.dense.closure_range
#align dense_inducing.closure_range DenseInducing.closure_range
protected theorem preconnectedSpace [PreconnectedSpace α] (di : DenseInducing i) :
PreconnectedSpace β :=
di.dense.preconnectedSpace di.continuous
#align dense_inducing.preconnected_space DenseInducing.preconnectedSpace
theorem closure_image_mem_nhds {s : Set α} {a : α} (di : DenseInducing i) (hs : s ∈ 𝓝 a) :
closure (i '' s) ∈ 𝓝 (i a) := by
rw [di.nhds_eq_comap a, ((nhds_basis_opens _).comap _).mem_iff] at hs
rcases hs with ⟨U, ⟨haU, hUo⟩, sub : i ⁻¹' U ⊆ s⟩
refine mem_of_superset (hUo.mem_nhds haU) ?_
calc
U ⊆ closure (i '' (i ⁻¹' U)) := di.dense.subset_closure_image_preimage_of_isOpen hUo
_ ⊆ closure (i '' s) := closure_mono (image_subset i sub)
#align dense_inducing.closure_image_mem_nhds DenseInducing.closure_image_mem_nhds
theorem dense_image (di : DenseInducing i) {s : Set α} : Dense (i '' s) ↔ Dense s := by
refine ⟨fun H x => ?_, di.dense.dense_image di.continuous⟩
rw [di.toInducing.closure_eq_preimage_closure_image, H.closure_eq, preimage_univ]
trivial
#align dense_inducing.dense_image DenseInducing.dense_image
theorem interior_compact_eq_empty [T2Space β] (di : DenseInducing i) (hd : Dense (range i)ᶜ)
{s : Set α} (hs : IsCompact s) : interior s = ∅ := by
refine eq_empty_iff_forall_not_mem.2 fun x hx => ?_
rw [mem_interior_iff_mem_nhds] at hx
have := di.closure_image_mem_nhds hx
rw [(hs.image di.continuous).isClosed.closure_eq] at this
rcases hd.inter_nhds_nonempty this with ⟨y, hyi, hys⟩
exact hyi (image_subset_range _ _ hys)
#align dense_inducing.interior_compact_eq_empty DenseInducing.interior_compact_eq_empty
protected theorem prod [TopologicalSpace γ] [TopologicalSpace δ] {e₁ : α → β} {e₂ : γ → δ}
(de₁ : DenseInducing e₁) (de₂ : DenseInducing e₂) :
DenseInducing fun p : α × γ => (e₁ p.1, e₂ p.2) where
toInducing := de₁.toInducing.prod_map de₂.toInducing
dense := de₁.dense.prod_map de₂.dense
#align dense_inducing.prod DenseInducing.prod
open TopologicalSpace
protected theorem separableSpace [SeparableSpace α] : SeparableSpace β :=
di.dense.separableSpace di.continuous
#align dense_inducing.separable_space DenseInducing.separableSpace
variable [TopologicalSpace δ] {f : γ → α} {g : γ → δ} {h : δ → β}
theorem tendsto_comap_nhds_nhds {d : δ} {a : α} (di : DenseInducing i)
(H : Tendsto h (𝓝 d) (𝓝 (i a))) (comm : h ∘ g = i ∘ f) : Tendsto f (comap g (𝓝 d)) (𝓝 a) := by
have lim1 : map g (comap g (𝓝 d)) ≤ 𝓝 d := map_comap_le
replace lim1 : map h (map g (comap g (𝓝 d))) ≤ map h (𝓝 d) := map_mono lim1
rw [Filter.map_map, comm, ← Filter.map_map, map_le_iff_le_comap] at lim1
have lim2 : comap i (map h (𝓝 d)) ≤ comap i (𝓝 (i a)) := comap_mono H
rw [← di.nhds_eq_comap] at lim2
exact le_trans lim1 lim2
#align dense_inducing.tendsto_comap_nhds_nhds DenseInducing.tendsto_comap_nhds_nhds
protected theorem nhdsWithin_neBot (di : DenseInducing i) (b : β) : NeBot (𝓝[range i] b) :=
di.dense.nhdsWithin_neBot b
#align dense_inducing.nhds_within_ne_bot DenseInducing.nhdsWithin_neBot
theorem comap_nhds_neBot (di : DenseInducing i) (b : β) : NeBot (comap i (𝓝 b)) :=
comap_neBot fun s hs => by
rcases mem_closure_iff_nhds.1 (di.dense b) s hs with ⟨_, ⟨ha, a, rfl⟩⟩
exact ⟨a, ha⟩
#align dense_inducing.comap_nhds_ne_bot DenseInducing.comap_nhds_neBot
variable [TopologicalSpace γ]
def extend (di : DenseInducing i) (f : α → γ) (b : β) : γ :=
@limUnder _ _ _ ⟨f (di.dense.some b)⟩ (comap i (𝓝 b)) f
#align dense_inducing.extend DenseInducing.extend
theorem extend_eq_of_tendsto [T2Space γ] {b : β} {c : γ} {f : α → γ}
(hf : Tendsto f (comap i (𝓝 b)) (𝓝 c)) : di.extend f b = c :=
haveI := di.comap_nhds_neBot
hf.limUnder_eq
#align dense_inducing.extend_eq_of_tendsto DenseInducing.extend_eq_of_tendsto
theorem extend_eq_at [T2Space γ] {f : α → γ} {a : α} (hf : ContinuousAt f a) :
di.extend f (i a) = f a :=
extend_eq_of_tendsto _ <| di.nhds_eq_comap a ▸ hf
#align dense_inducing.extend_eq_at DenseInducing.extend_eq_at
theorem extend_eq_at' [T2Space γ] {f : α → γ} {a : α} (c : γ) (hf : Tendsto f (𝓝 a) (𝓝 c)) :
di.extend f (i a) = f a :=
di.extend_eq_at (continuousAt_of_tendsto_nhds hf)
#align dense_inducing.extend_eq_at' DenseInducing.extend_eq_at'
theorem extend_eq [T2Space γ] {f : α → γ} (hf : Continuous f) (a : α) : di.extend f (i a) = f a :=
di.extend_eq_at hf.continuousAt
#align dense_inducing.extend_eq DenseInducing.extend_eq
theorem extend_eq' [T2Space γ] {f : α → γ} (di : DenseInducing i)
(hf : ∀ b, ∃ c, Tendsto f (comap i (𝓝 b)) (𝓝 c)) (a : α) : di.extend f (i a) = f a := by
rcases hf (i a) with ⟨b, hb⟩
refine di.extend_eq_at' b ?_
rwa [← di.toInducing.nhds_eq_comap] at hb
#align dense_inducing.extend_eq' DenseInducing.extend_eq'
theorem extend_unique_at [T2Space γ] {b : β} {f : α → γ} {g : β → γ} (di : DenseInducing i)
(hf : ∀ᶠ x in comap i (𝓝 b), g (i x) = f x) (hg : ContinuousAt g b) : di.extend f b = g b := by
refine di.extend_eq_of_tendsto fun s hs => mem_map.2 ?_
suffices ∀ᶠ x : α in comap i (𝓝 b), g (i x) ∈ s from
hf.mp (this.mono fun x hgx hfx => hfx ▸ hgx)
clear hf f
refine eventually_comap.2 ((hg.eventually hs).mono ?_)
rintro _ hxs x rfl
exact hxs
#align dense_inducing.extend_unique_at DenseInducing.extend_unique_at
theorem extend_unique [T2Space γ] {f : α → γ} {g : β → γ} (di : DenseInducing i)
(hf : ∀ x, g (i x) = f x) (hg : Continuous g) : di.extend f = g :=
funext fun _ => extend_unique_at di (eventually_of_forall hf) hg.continuousAt
#align dense_inducing.extend_unique DenseInducing.extend_unique
| Mathlib/Topology/DenseEmbedding.lean | 192 | 212 | theorem continuousAt_extend [T3Space γ] {b : β} {f : α → γ} (di : DenseInducing i)
(hf : ∀ᶠ x in 𝓝 b, ∃ c, Tendsto f (comap i <| 𝓝 x) (𝓝 c)) : ContinuousAt (di.extend f) b := by |
set φ := di.extend f
haveI := di.comap_nhds_neBot
suffices ∀ V' ∈ 𝓝 (φ b), IsClosed V' → φ ⁻¹' V' ∈ 𝓝 b by
simpa [ContinuousAt, (closed_nhds_basis (φ b)).tendsto_right_iff]
intro V' V'_in V'_closed
set V₁ := { x | Tendsto f (comap i <| 𝓝 x) (𝓝 <| φ x) }
have V₁_in : V₁ ∈ 𝓝 b := by
filter_upwards [hf]
rintro x ⟨c, hc⟩
rwa [← di.extend_eq_of_tendsto hc] at hc
obtain ⟨V₂, V₂_in, V₂_op, hV₂⟩ : ∃ V₂ ∈ 𝓝 b, IsOpen V₂ ∧ ∀ x ∈ i ⁻¹' V₂, f x ∈ V' := by
simpa [and_assoc] using
((nhds_basis_opens' b).comap i).tendsto_left_iff.mp (mem_of_mem_nhds V₁_in : b ∈ V₁) V' V'_in
suffices ∀ x ∈ V₁ ∩ V₂, φ x ∈ V' by filter_upwards [inter_mem V₁_in V₂_in] using this
rintro x ⟨x_in₁, x_in₂⟩
have hV₂x : V₂ ∈ 𝓝 x := IsOpen.mem_nhds V₂_op x_in₂
apply V'_closed.mem_of_tendsto x_in₁
use V₂
tauto
|
import Mathlib.Data.List.Basic
namespace List
variable {α β : Type*}
@[simp]
theorem reduceOption_cons_of_some (x : α) (l : List (Option α)) :
reduceOption (some x :: l) = x :: l.reduceOption := by
simp only [reduceOption, filterMap, id, eq_self_iff_true, and_self_iff]
#align list.reduce_option_cons_of_some List.reduceOption_cons_of_some
@[simp]
theorem reduceOption_cons_of_none (l : List (Option α)) :
reduceOption (none :: l) = l.reduceOption := by simp only [reduceOption, filterMap, id]
#align list.reduce_option_cons_of_none List.reduceOption_cons_of_none
@[simp]
theorem reduceOption_nil : @reduceOption α [] = [] :=
rfl
#align list.reduce_option_nil List.reduceOption_nil
@[simp]
theorem reduceOption_map {l : List (Option α)} {f : α → β} :
reduceOption (map (Option.map f) l) = map f (reduceOption l) := by
induction' l with hd tl hl
· simp only [reduceOption_nil, map_nil]
· cases hd <;>
simpa [true_and_iff, Option.map_some', map, eq_self_iff_true,
reduceOption_cons_of_some] using hl
#align list.reduce_option_map List.reduceOption_map
theorem reduceOption_append (l l' : List (Option α)) :
(l ++ l').reduceOption = l.reduceOption ++ l'.reduceOption :=
filterMap_append l l' id
#align list.reduce_option_append List.reduceOption_append
| Mathlib/Data/List/ReduceOption.lean | 49 | 53 | theorem reduceOption_length_eq {l : List (Option α)} :
l.reduceOption.length = (l.filter Option.isSome).length := by |
induction' l with hd tl hl
· simp_rw [reduceOption_nil, filter_nil, length]
· cases hd <;> simp [hl]
|
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Analysis.Asymptotics.SpecificAsymptotics
import Mathlib.Analysis.Complex.CauchyIntegral
#align_import analysis.complex.removable_singularity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open TopologicalSpace Metric Set Filter Asymptotics Function
open scoped Topology Filter NNReal Real
universe u
variable {E : Type u} [NormedAddCommGroup E] [NormedSpace ℂ E] [CompleteSpace E]
namespace Complex
theorem analyticAt_of_differentiable_on_punctured_nhds_of_continuousAt {f : ℂ → E} {c : ℂ}
(hd : ∀ᶠ z in 𝓝[≠] c, DifferentiableAt ℂ f z) (hc : ContinuousAt f c) : AnalyticAt ℂ f c := by
rcases (nhdsWithin_hasBasis nhds_basis_closedBall _).mem_iff.1 hd with ⟨R, hR0, hRs⟩
lift R to ℝ≥0 using hR0.le
replace hc : ContinuousOn f (closedBall c R) := by
refine fun z hz => ContinuousAt.continuousWithinAt ?_
rcases eq_or_ne z c with (rfl | hne)
exacts [hc, (hRs ⟨hz, hne⟩).continuousAt]
exact (hasFPowerSeriesOnBall_of_differentiable_off_countable (countable_singleton c) hc
(fun z hz => hRs (diff_subset_diff_left ball_subset_closedBall hz)) hR0).analyticAt
#align complex.analytic_at_of_differentiable_on_punctured_nhds_of_continuous_at Complex.analyticAt_of_differentiable_on_punctured_nhds_of_continuousAt
theorem differentiableOn_compl_singleton_and_continuousAt_iff {f : ℂ → E} {s : Set ℂ} {c : ℂ}
(hs : s ∈ 𝓝 c) :
DifferentiableOn ℂ f (s \ {c}) ∧ ContinuousAt f c ↔ DifferentiableOn ℂ f s := by
refine ⟨?_, fun hd => ⟨hd.mono diff_subset, (hd.differentiableAt hs).continuousAt⟩⟩
rintro ⟨hd, hc⟩ x hx
rcases eq_or_ne x c with (rfl | hne)
· refine (analyticAt_of_differentiable_on_punctured_nhds_of_continuousAt
?_ hc).differentiableAt.differentiableWithinAt
refine eventually_nhdsWithin_iff.2 ((eventually_mem_nhds.2 hs).mono fun z hz hzx => ?_)
exact hd.differentiableAt (inter_mem hz (isOpen_ne.mem_nhds hzx))
· simpa only [DifferentiableWithinAt, HasFDerivWithinAt, hne.nhdsWithin_diff_singleton] using
hd x ⟨hx, hne⟩
#align complex.differentiable_on_compl_singleton_and_continuous_at_iff Complex.differentiableOn_compl_singleton_and_continuousAt_iff
theorem differentiableOn_dslope {f : ℂ → E} {s : Set ℂ} {c : ℂ} (hc : s ∈ 𝓝 c) :
DifferentiableOn ℂ (dslope f c) s ↔ DifferentiableOn ℂ f s :=
⟨fun h => h.of_dslope, fun h =>
(differentiableOn_compl_singleton_and_continuousAt_iff hc).mp <|
⟨Iff.mpr (differentiableOn_dslope_of_nmem fun h => h.2 rfl) (h.mono diff_subset),
continuousAt_dslope_same.2 <| h.differentiableAt hc⟩⟩
#align complex.differentiable_on_dslope Complex.differentiableOn_dslope
theorem differentiableOn_update_limUnder_of_isLittleO {f : ℂ → E} {s : Set ℂ} {c : ℂ} (hc : s ∈ 𝓝 c)
(hd : DifferentiableOn ℂ f (s \ {c}))
(ho : (fun z => f z - f c) =o[𝓝[≠] c] fun z => (z - c)⁻¹) :
DifferentiableOn ℂ (update f c (limUnder (𝓝[≠] c) f)) s := by
set F : ℂ → E := fun z => (z - c) • f z
suffices DifferentiableOn ℂ F (s \ {c}) ∧ ContinuousAt F c by
rw [differentiableOn_compl_singleton_and_continuousAt_iff hc, ← differentiableOn_dslope hc,
dslope_sub_smul] at this
have hc : Tendsto f (𝓝[≠] c) (𝓝 (deriv F c)) :=
continuousAt_update_same.mp (this.continuousOn.continuousAt hc)
rwa [hc.limUnder_eq]
refine ⟨(differentiableOn_id.sub_const _).smul hd, ?_⟩
rw [← continuousWithinAt_compl_self]
have H := ho.tendsto_inv_smul_nhds_zero
have H' : Tendsto (fun z => (z - c) • f c) (𝓝[≠] c) (𝓝 (F c)) :=
(continuousWithinAt_id.tendsto.sub tendsto_const_nhds).smul tendsto_const_nhds
simpa [← smul_add, ContinuousWithinAt] using H.add H'
#align complex.differentiable_on_update_lim_of_is_o Complex.differentiableOn_update_limUnder_of_isLittleO
theorem differentiableOn_update_limUnder_insert_of_isLittleO {f : ℂ → E} {s : Set ℂ} {c : ℂ}
(hc : s ∈ 𝓝[≠] c) (hd : DifferentiableOn ℂ f s)
(ho : (fun z => f z - f c) =o[𝓝[≠] c] fun z => (z - c)⁻¹) :
DifferentiableOn ℂ (update f c (limUnder (𝓝[≠] c) f)) (insert c s) :=
differentiableOn_update_limUnder_of_isLittleO (insert_mem_nhds_iff.2 hc)
(hd.mono fun _ hz => hz.1.resolve_left hz.2) ho
#align complex.differentiable_on_update_lim_insert_of_is_o Complex.differentiableOn_update_limUnder_insert_of_isLittleO
theorem differentiableOn_update_limUnder_of_bddAbove {f : ℂ → E} {s : Set ℂ} {c : ℂ} (hc : s ∈ 𝓝 c)
(hd : DifferentiableOn ℂ f (s \ {c})) (hb : BddAbove (norm ∘ f '' (s \ {c}))) :
DifferentiableOn ℂ (update f c (limUnder (𝓝[≠] c) f)) s :=
differentiableOn_update_limUnder_of_isLittleO hc hd <| IsBoundedUnder.isLittleO_sub_self_inv <|
let ⟨C, hC⟩ := hb
⟨C + ‖f c‖, eventually_map.2 <| mem_nhdsWithin_iff_exists_mem_nhds_inter.2
⟨s, hc, fun _ hz => norm_sub_le_of_le (hC <| mem_image_of_mem _ hz) le_rfl⟩⟩
#align complex.differentiable_on_update_lim_of_bdd_above Complex.differentiableOn_update_limUnder_of_bddAbove
theorem tendsto_limUnder_of_differentiable_on_punctured_nhds_of_isLittleO {f : ℂ → E} {c : ℂ}
(hd : ∀ᶠ z in 𝓝[≠] c, DifferentiableAt ℂ f z)
(ho : (fun z => f z - f c) =o[𝓝[≠] c] fun z => (z - c)⁻¹) :
Tendsto f (𝓝[≠] c) (𝓝 <| limUnder (𝓝[≠] c) f) := by
rw [eventually_nhdsWithin_iff] at hd
have : DifferentiableOn ℂ f ({z | z ≠ c → DifferentiableAt ℂ f z} \ {c}) := fun z hz =>
(hz.1 hz.2).differentiableWithinAt
have H := differentiableOn_update_limUnder_of_isLittleO hd this ho
exact continuousAt_update_same.1 (H.differentiableAt hd).continuousAt
#align complex.tendsto_lim_of_differentiable_on_punctured_nhds_of_is_o Complex.tendsto_limUnder_of_differentiable_on_punctured_nhds_of_isLittleO
theorem tendsto_limUnder_of_differentiable_on_punctured_nhds_of_bounded_under {f : ℂ → E} {c : ℂ}
(hd : ∀ᶠ z in 𝓝[≠] c, DifferentiableAt ℂ f z)
(hb : IsBoundedUnder (· ≤ ·) (𝓝[≠] c) fun z => ‖f z - f c‖) :
Tendsto f (𝓝[≠] c) (𝓝 <| limUnder (𝓝[≠] c) f) :=
tendsto_limUnder_of_differentiable_on_punctured_nhds_of_isLittleO hd hb.isLittleO_sub_self_inv
#align complex.tendsto_lim_of_differentiable_on_punctured_nhds_of_bounded_under Complex.tendsto_limUnder_of_differentiable_on_punctured_nhds_of_bounded_under
| Mathlib/Analysis/Complex/RemovableSingularity.lean | 136 | 161 | theorem two_pi_I_inv_smul_circleIntegral_sub_sq_inv_smul_of_differentiable {U : Set ℂ}
(hU : IsOpen U) {c w₀ : ℂ} {R : ℝ} {f : ℂ → E} (hc : closedBall c R ⊆ U)
(hf : DifferentiableOn ℂ f U) (hw₀ : w₀ ∈ ball c R) :
((2 * π * I : ℂ)⁻¹ • ∮ z in C(c, R), ((z - w₀) ^ 2)⁻¹ • f z) = deriv f w₀ := by |
-- We apply the removable singularity theorem and the Cauchy formula to `dslope f w₀`
have hf' : DifferentiableOn ℂ (dslope f w₀) U :=
(differentiableOn_dslope (hU.mem_nhds ((ball_subset_closedBall.trans hc) hw₀))).mpr hf
have h0 := (hf'.diffContOnCl_ball hc).two_pi_i_inv_smul_circleIntegral_sub_inv_smul hw₀
rw [← dslope_same, ← h0]
congr 1
trans ∮ z in C(c, R), ((z - w₀) ^ 2)⁻¹ • (f z - f w₀)
· have h1 : ContinuousOn (fun z : ℂ => ((z - w₀) ^ 2)⁻¹) (sphere c R) := by
refine ((continuous_id'.sub continuous_const).pow 2).continuousOn.inv₀ fun w hw h => ?_
exact sphere_disjoint_ball.ne_of_mem hw hw₀ (sub_eq_zero.mp (sq_eq_zero_iff.mp h))
have h2 : CircleIntegrable (fun z : ℂ => ((z - w₀) ^ 2)⁻¹ • f z) c R := by
refine ContinuousOn.circleIntegrable (pos_of_mem_ball hw₀).le ?_
exact h1.smul (hf.continuousOn.mono (sphere_subset_closedBall.trans hc))
have h3 : CircleIntegrable (fun z : ℂ => ((z - w₀) ^ 2)⁻¹ • f w₀) c R :=
ContinuousOn.circleIntegrable (pos_of_mem_ball hw₀).le (h1.smul continuousOn_const)
have h4 : (∮ z : ℂ in C(c, R), ((z - w₀) ^ 2)⁻¹) = 0 := by
simpa using circleIntegral.integral_sub_zpow_of_ne (by decide : (-2 : ℤ) ≠ -1) c w₀ R
simp only [smul_sub, circleIntegral.integral_sub h2 h3, h4, circleIntegral.integral_smul_const,
zero_smul, sub_zero]
· refine circleIntegral.integral_congr (pos_of_mem_ball hw₀).le fun z hz => ?_
simp only [dslope_of_ne, Metric.sphere_disjoint_ball.ne_of_mem hz hw₀, slope, ← smul_assoc, sq,
mul_inv, Ne, not_false_iff, vsub_eq_sub, Algebra.id.smul_eq_mul]
|
import Mathlib.MeasureTheory.Measure.MeasureSpace
open scoped ENNReal NNReal Topology
open Set MeasureTheory Measure Filter MeasurableSpace ENNReal Function
variable {R α β δ γ ι : Type*}
namespace MeasureTheory
variable {m0 : MeasurableSpace α} [MeasurableSpace β] [MeasurableSpace γ]
variable {μ μ₁ μ₂ μ₃ ν ν' ν₁ ν₂ : Measure α} {s s' t : Set α}
namespace Measure
noncomputable def restrictₗ {m0 : MeasurableSpace α} (s : Set α) : Measure α →ₗ[ℝ≥0∞] Measure α :=
liftLinear (OuterMeasure.restrict s) fun μ s' hs' t => by
suffices μ (s ∩ t) = μ (s ∩ t ∩ s') + μ ((s ∩ t) \ s') by
simpa [← Set.inter_assoc, Set.inter_comm _ s, ← inter_diff_assoc]
exact le_toOuterMeasure_caratheodory _ _ hs' _
#align measure_theory.measure.restrictₗ MeasureTheory.Measure.restrictₗ
noncomputable def restrict {_m0 : MeasurableSpace α} (μ : Measure α) (s : Set α) : Measure α :=
restrictₗ s μ
#align measure_theory.measure.restrict MeasureTheory.Measure.restrict
@[simp]
theorem restrictₗ_apply {_m0 : MeasurableSpace α} (s : Set α) (μ : Measure α) :
restrictₗ s μ = μ.restrict s :=
rfl
#align measure_theory.measure.restrictₗ_apply MeasureTheory.Measure.restrictₗ_apply
theorem restrict_toOuterMeasure_eq_toOuterMeasure_restrict (h : MeasurableSet s) :
(μ.restrict s).toOuterMeasure = OuterMeasure.restrict s μ.toOuterMeasure := by
simp_rw [restrict, restrictₗ, liftLinear, LinearMap.coe_mk, AddHom.coe_mk,
toMeasure_toOuterMeasure, OuterMeasure.restrict_trim h, μ.trimmed]
#align measure_theory.measure.restrict_to_outer_measure_eq_to_outer_measure_restrict MeasureTheory.Measure.restrict_toOuterMeasure_eq_toOuterMeasure_restrict
theorem restrict_apply₀ (ht : NullMeasurableSet t (μ.restrict s)) : μ.restrict s t = μ (t ∩ s) := by
rw [← restrictₗ_apply, restrictₗ, liftLinear_apply₀ _ ht, OuterMeasure.restrict_apply,
coe_toOuterMeasure]
#align measure_theory.measure.restrict_apply₀ MeasureTheory.Measure.restrict_apply₀
@[simp]
theorem restrict_apply (ht : MeasurableSet t) : μ.restrict s t = μ (t ∩ s) :=
restrict_apply₀ ht.nullMeasurableSet
#align measure_theory.measure.restrict_apply MeasureTheory.Measure.restrict_apply
theorem restrict_mono' {_m0 : MeasurableSpace α} ⦃s s' : Set α⦄ ⦃μ ν : Measure α⦄ (hs : s ≤ᵐ[μ] s')
(hμν : μ ≤ ν) : μ.restrict s ≤ ν.restrict s' :=
Measure.le_iff.2 fun t ht => calc
μ.restrict s t = μ (t ∩ s) := restrict_apply ht
_ ≤ μ (t ∩ s') := (measure_mono_ae <| hs.mono fun _x hx ⟨hxt, hxs⟩ => ⟨hxt, hx hxs⟩)
_ ≤ ν (t ∩ s') := le_iff'.1 hμν (t ∩ s')
_ = ν.restrict s' t := (restrict_apply ht).symm
#align measure_theory.measure.restrict_mono' MeasureTheory.Measure.restrict_mono'
@[mono]
theorem restrict_mono {_m0 : MeasurableSpace α} ⦃s s' : Set α⦄ (hs : s ⊆ s') ⦃μ ν : Measure α⦄
(hμν : μ ≤ ν) : μ.restrict s ≤ ν.restrict s' :=
restrict_mono' (ae_of_all _ hs) hμν
#align measure_theory.measure.restrict_mono MeasureTheory.Measure.restrict_mono
theorem restrict_mono_ae (h : s ≤ᵐ[μ] t) : μ.restrict s ≤ μ.restrict t :=
restrict_mono' h (le_refl μ)
#align measure_theory.measure.restrict_mono_ae MeasureTheory.Measure.restrict_mono_ae
theorem restrict_congr_set (h : s =ᵐ[μ] t) : μ.restrict s = μ.restrict t :=
le_antisymm (restrict_mono_ae h.le) (restrict_mono_ae h.symm.le)
#align measure_theory.measure.restrict_congr_set MeasureTheory.Measure.restrict_congr_set
@[simp]
| Mathlib/MeasureTheory/Measure/Restrict.lean | 104 | 107 | theorem restrict_apply' (hs : MeasurableSet s) : μ.restrict s t = μ (t ∩ s) := by |
rw [← toOuterMeasure_apply,
Measure.restrict_toOuterMeasure_eq_toOuterMeasure_restrict hs,
OuterMeasure.restrict_apply s t _, toOuterMeasure_apply]
|
import Mathlib.MeasureTheory.Measure.Typeclasses
#align_import measure_theory.measure.sub from "leanprover-community/mathlib"@"562bbf524c595c153470e53d36c57b6f891cc480"
open Set
namespace MeasureTheory
namespace Measure
noncomputable instance instSub {α : Type*} [MeasurableSpace α] : Sub (Measure α) :=
⟨fun μ ν => sInf { τ | μ ≤ τ + ν }⟩
#align measure_theory.measure.has_sub MeasureTheory.Measure.instSub
variable {α : Type*} {m : MeasurableSpace α} {μ ν : Measure α} {s : Set α}
theorem sub_def : μ - ν = sInf { d | μ ≤ d + ν } := rfl
#align measure_theory.measure.sub_def MeasureTheory.Measure.sub_def
theorem sub_le_of_le_add {d} (h : μ ≤ d + ν) : μ - ν ≤ d :=
sInf_le h
#align measure_theory.measure.sub_le_of_le_add MeasureTheory.Measure.sub_le_of_le_add
theorem sub_eq_zero_of_le (h : μ ≤ ν) : μ - ν = 0 :=
nonpos_iff_eq_zero'.1 <| sub_le_of_le_add <| by rwa [zero_add]
#align measure_theory.measure.sub_eq_zero_of_le MeasureTheory.Measure.sub_eq_zero_of_le
theorem sub_le : μ - ν ≤ μ :=
sub_le_of_le_add <| Measure.le_add_right le_rfl
#align measure_theory.measure.sub_le MeasureTheory.Measure.sub_le
@[simp]
theorem sub_top : μ - ⊤ = 0 :=
sub_eq_zero_of_le le_top
#align measure_theory.measure.sub_top MeasureTheory.Measure.sub_top
@[simp]
theorem zero_sub : 0 - μ = 0 :=
sub_eq_zero_of_le μ.zero_le
#align measure_theory.measure.zero_sub MeasureTheory.Measure.zero_sub
@[simp]
theorem sub_self : μ - μ = 0 :=
sub_eq_zero_of_le le_rfl
#align measure_theory.measure.sub_self MeasureTheory.Measure.sub_self
theorem sub_apply [IsFiniteMeasure ν] (h₁ : MeasurableSet s) (h₂ : ν ≤ μ) :
(μ - ν) s = μ s - ν s := by
-- We begin by defining `measure_sub`, which will be equal to `(μ - ν)`.
let measure_sub : Measure α := MeasureTheory.Measure.ofMeasurable
(fun (t : Set α) (_ : MeasurableSet t) => μ t - ν t) (by simp)
(fun g h_meas h_disj ↦ by
simp only [measure_iUnion h_disj h_meas]
rw [ENNReal.tsum_sub _ (h₂ <| g ·)]
rw [← measure_iUnion h_disj h_meas]
apply measure_ne_top)
-- Now, we demonstrate `μ - ν = measure_sub`, and apply it.
have h_measure_sub_add : ν + measure_sub = μ := by
ext1 t h_t_measurable_set
simp only [Pi.add_apply, coe_add]
rw [MeasureTheory.Measure.ofMeasurable_apply _ h_t_measurable_set, add_comm,
tsub_add_cancel_of_le (h₂ t)]
have h_measure_sub_eq : μ - ν = measure_sub := by
rw [MeasureTheory.Measure.sub_def]
apply le_antisymm
· apply sInf_le
simp [le_refl, add_comm, h_measure_sub_add]
apply le_sInf
intro d h_d
rw [← h_measure_sub_add, mem_setOf_eq, add_comm d] at h_d
apply Measure.le_of_add_le_add_left h_d
rw [h_measure_sub_eq]
apply Measure.ofMeasurable_apply _ h₁
#align measure_theory.measure.sub_apply MeasureTheory.Measure.sub_apply
| Mathlib/MeasureTheory/Measure/Sub.lean | 100 | 102 | theorem sub_add_cancel_of_le [IsFiniteMeasure ν] (h₁ : ν ≤ μ) : μ - ν + ν = μ := by |
ext1 s h_s_meas
rw [add_apply, sub_apply h_s_meas h₁, tsub_add_cancel_of_le (h₁ s)]
|
import Mathlib.Algebra.Polynomial.Taylor
import Mathlib.FieldTheory.RatFunc.AsPolynomial
#align_import field_theory.laurent from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe u
namespace RatFunc
noncomputable section
open Polynomial
open scoped Classical nonZeroDivisors Polynomial
variable {R : Type u} [CommRing R] [hdomain : IsDomain R] (r s : R) (p q : R[X]) (f : RatFunc R)
theorem taylor_mem_nonZeroDivisors (hp : p ∈ R[X]⁰) : taylor r p ∈ R[X]⁰ := by
rw [mem_nonZeroDivisors_iff]
intro x hx
have : x = taylor (r - r) x := by simp
rwa [this, sub_eq_add_neg, ← taylor_taylor, ← taylor_mul,
LinearMap.map_eq_zero_iff _ (taylor_injective _), mul_right_mem_nonZeroDivisors_eq_zero_iff hp,
LinearMap.map_eq_zero_iff _ (taylor_injective _)] at hx
#align ratfunc.taylor_mem_non_zero_divisors RatFunc.taylor_mem_nonZeroDivisors
def laurentAux : RatFunc R →+* RatFunc R :=
RatFunc.mapRingHom
( { toFun := taylor r
map_add' := map_add (taylor r)
map_mul' := taylor_mul _
map_zero' := map_zero (taylor r)
map_one' := taylor_one r } : R[X] →+* R[X])
(taylor_mem_nonZeroDivisors _)
#align ratfunc.laurent_aux RatFunc.laurentAux
theorem laurentAux_ofFractionRing_mk (q : R[X]⁰) :
laurentAux r (ofFractionRing (Localization.mk p q)) =
ofFractionRing (.mk (taylor r p) ⟨taylor r q, taylor_mem_nonZeroDivisors r q q.prop⟩) :=
map_apply_ofFractionRing_mk _ _ _ _
#align ratfunc.laurent_aux_of_fraction_ring_mk RatFunc.laurentAux_ofFractionRing_mk
theorem laurentAux_div :
laurentAux r (algebraMap _ _ p / algebraMap _ _ q) =
algebraMap _ _ (taylor r p) / algebraMap _ _ (taylor r q) :=
-- Porting note: added `by exact taylor_mem_nonZeroDivisors r`
map_apply_div _ (by exact taylor_mem_nonZeroDivisors r) _ _
#align ratfunc.laurent_aux_div RatFunc.laurentAux_div
@[simp]
theorem laurentAux_algebraMap : laurentAux r (algebraMap _ _ p) = algebraMap _ _ (taylor r p) := by
rw [← mk_one, ← mk_one, mk_eq_div, laurentAux_div, mk_eq_div, taylor_one, map_one, map_one]
#align ratfunc.laurent_aux_algebra_map RatFunc.laurentAux_algebraMap
def laurent : RatFunc R →ₐ[R] RatFunc R :=
RatFunc.mapAlgHom (.ofLinearMap (taylor r) (taylor_one _) (taylor_mul _))
(taylor_mem_nonZeroDivisors _)
#align ratfunc.laurent RatFunc.laurent
theorem laurent_div :
laurent r (algebraMap _ _ p / algebraMap _ _ q) =
algebraMap _ _ (taylor r p) / algebraMap _ _ (taylor r q) :=
laurentAux_div r p q
#align ratfunc.laurent_div RatFunc.laurent_div
@[simp]
theorem laurent_algebraMap : laurent r (algebraMap _ _ p) = algebraMap _ _ (taylor r p) :=
laurentAux_algebraMap _ _
#align ratfunc.laurent_algebra_map RatFunc.laurent_algebraMap
@[simp]
theorem laurent_X : laurent r X = X + C r := by
rw [← algebraMap_X, laurent_algebraMap, taylor_X, _root_.map_add, algebraMap_C]
set_option linter.uppercaseLean3 false in
#align ratfunc.laurent_X RatFunc.laurent_X
@[simp]
theorem laurent_C (x : R) : laurent r (C x) = C x := by
rw [← algebraMap_C, laurent_algebraMap, taylor_C]
set_option linter.uppercaseLean3 false in
#align ratfunc.laurent_C RatFunc.laurent_C
@[simp]
theorem laurent_at_zero : laurent 0 f = f := by induction f using RatFunc.induction_on; simp
#align ratfunc.laurent_at_zero RatFunc.laurent_at_zero
| Mathlib/FieldTheory/Laurent.lean | 111 | 113 | theorem laurent_laurent : laurent r (laurent s f) = laurent (r + s) f := by |
induction f using RatFunc.induction_on
simp_rw [laurent_div, taylor_taylor]
|
import Mathlib.MeasureTheory.Constructions.Pi
import Mathlib.MeasureTheory.Integral.Lebesgue
open scoped Classical ENNReal
open Set Function Equiv Finset
noncomputable section
namespace MeasureTheory
section LMarginal
variable {δ δ' : Type*} {π : δ → Type*} [∀ x, MeasurableSpace (π x)]
variable {μ : ∀ i, Measure (π i)} [∀ i, SigmaFinite (μ i)] [DecidableEq δ]
variable {s t : Finset δ} {f g : (∀ i, π i) → ℝ≥0∞} {x y : ∀ i, π i} {i : δ}
def lmarginal (μ : ∀ i, Measure (π i)) (s : Finset δ) (f : (∀ i, π i) → ℝ≥0∞)
(x : ∀ i, π i) : ℝ≥0∞ :=
∫⁻ y : ∀ i : s, π i, f (updateFinset x s y) ∂Measure.pi fun i : s => μ i
-- Note: this notation is not a binder. This is more convenient since it returns a function.
@[inherit_doc]
notation "∫⋯∫⁻_" s ", " f " ∂" μ:70 => lmarginal μ s f
@[inherit_doc]
notation "∫⋯∫⁻_" s ", " f => lmarginal (fun _ ↦ volume) s f
variable (μ)
theorem _root_.Measurable.lmarginal (hf : Measurable f) : Measurable (∫⋯∫⁻_s, f ∂μ) := by
refine Measurable.lintegral_prod_right ?_
refine hf.comp ?_
rw [measurable_pi_iff]; intro i
by_cases hi : i ∈ s
· simp [hi, updateFinset]
exact measurable_pi_iff.1 measurable_snd _
· simp [hi, updateFinset]
exact measurable_pi_iff.1 measurable_fst _
@[simp] theorem lmarginal_empty (f : (∀ i, π i) → ℝ≥0∞) : ∫⋯∫⁻_∅, f ∂μ = f := by
ext1 x
simp_rw [lmarginal, Measure.pi_of_empty fun i : (∅ : Finset δ) => μ i]
apply lintegral_dirac'
exact Subsingleton.measurable
theorem lmarginal_congr {x y : ∀ i, π i} (f : (∀ i, π i) → ℝ≥0∞)
(h : ∀ i ∉ s, x i = y i) :
(∫⋯∫⁻_s, f ∂μ) x = (∫⋯∫⁻_s, f ∂μ) y := by
dsimp [lmarginal, updateFinset_def]; rcongr; exact h _ ‹_›
theorem lmarginal_update_of_mem {i : δ} (hi : i ∈ s)
(f : (∀ i, π i) → ℝ≥0∞) (x : ∀ i, π i) (y : π i) :
(∫⋯∫⁻_s, f ∂μ) (Function.update x i y) = (∫⋯∫⁻_s, f ∂μ) x := by
apply lmarginal_congr
intro j hj
have : j ≠ i := by rintro rfl; exact hj hi
apply update_noteq this
theorem lmarginal_union (f : (∀ i, π i) → ℝ≥0∞) (hf : Measurable f)
(hst : Disjoint s t) : ∫⋯∫⁻_s ∪ t, f ∂μ = ∫⋯∫⁻_s, ∫⋯∫⁻_t, f ∂μ ∂μ := by
ext1 x
let e := MeasurableEquiv.piFinsetUnion π hst
calc (∫⋯∫⁻_s ∪ t, f ∂μ) x
= ∫⁻ (y : (i : ↥(s ∪ t)) → π i), f (updateFinset x (s ∪ t) y)
∂.pi fun i' : ↥(s ∪ t) ↦ μ i' := rfl
_ = ∫⁻ (y : ((i : s) → π i) × ((j : t) → π j)), f (updateFinset x (s ∪ t) _)
∂(Measure.pi fun i : s ↦ μ i).prod (.pi fun j : t ↦ μ j) := by
rw [measurePreserving_piFinsetUnion hst μ |>.lintegral_map_equiv]
_ = ∫⁻ (y : (i : s) → π i), ∫⁻ (z : (j : t) → π j), f (updateFinset x (s ∪ t) (e (y, z)))
∂.pi fun j : t ↦ μ j ∂.pi fun i : s ↦ μ i := by
apply lintegral_prod
apply Measurable.aemeasurable
exact hf.comp <| measurable_updateFinset.comp e.measurable
_ = (∫⋯∫⁻_s, ∫⋯∫⁻_t, f ∂μ ∂μ) x := by
simp_rw [lmarginal, updateFinset_updateFinset hst]
rfl
theorem lmarginal_union' (f : (∀ i, π i) → ℝ≥0∞) (hf : Measurable f) {s t : Finset δ}
(hst : Disjoint s t) : ∫⋯∫⁻_s ∪ t, f ∂μ = ∫⋯∫⁻_t, ∫⋯∫⁻_s, f ∂μ ∂μ := by
rw [Finset.union_comm, lmarginal_union μ f hf hst.symm]
variable {μ}
set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532
| Mathlib/MeasureTheory/Integral/Marginal.lean | 144 | 153 | theorem lmarginal_singleton (f : (∀ i, π i) → ℝ≥0∞) (i : δ) :
∫⋯∫⁻_{i}, f ∂μ = fun x => ∫⁻ xᵢ, f (Function.update x i xᵢ) ∂μ i := by |
let α : Type _ := ({i} : Finset δ)
let e := (MeasurableEquiv.piUnique fun j : α ↦ π j).symm
ext1 x
calc (∫⋯∫⁻_{i}, f ∂μ) x
= ∫⁻ (y : π (default : α)), f (updateFinset x {i} (e y)) ∂μ (default : α) := by
simp_rw [lmarginal, measurePreserving_piUnique (fun j : ({i} : Finset δ) ↦ μ j) |>.symm _
|>.lintegral_map_equiv]
_ = ∫⁻ xᵢ, f (Function.update x i xᵢ) ∂μ i := by simp [update_eq_updateFinset]; rfl
|
import Mathlib.Algebra.Homology.ImageToKernel
#align_import algebra.homology.exact from "leanprover-community/mathlib"@"3feb151caefe53df080ca6ca67a0c6685cfd1b82"
universe v v₂ u u₂
open CategoryTheory CategoryTheory.Limits
variable {V : Type u} [Category.{v} V]
variable [HasImages V]
namespace CategoryTheory
-- One nice feature of this definition is that we have
-- `Epi f → Exact g h → Exact (f ≫ g) h` and `Exact f g → Mono h → Exact f (g ≫ h)`,
-- which do not necessarily hold in a non-abelian category with the usual definition of `Exact`.
structure Exact [HasZeroMorphisms V] [HasKernels V] {A B C : V} (f : A ⟶ B) (g : B ⟶ C) : Prop where
w : f ≫ g = 0
epi : Epi (imageToKernel f g w)
#align category_theory.exact CategoryTheory.Exact
-- Porting note: it seems it no longer works in Lean4, so that some `haveI` have been added below
-- This works as an instance even though `Exact` itself is not a class, as long as the goal is
-- literally of the form `Epi (imageToKernel f g h.w)` (where `h : Exact f g`). If the proof of
-- `f ≫ g = 0` looks different, we are out of luck and have to add the instance by hand.
attribute [instance] Exact.epi
attribute [reassoc] Exact.w
section
variable [HasZeroObject V] [Preadditive V] [HasKernels V] [HasCokernels V]
open ZeroObject
theorem Preadditive.exact_iff_homology'_zero {A B C : V} (f : A ⟶ B) (g : B ⟶ C) :
Exact f g ↔ ∃ w : f ≫ g = 0, Nonempty (homology' f g w ≅ 0) :=
⟨fun h => ⟨h.w, ⟨by
haveI := h.epi
exact cokernel.ofEpi _⟩⟩,
fun h => by
obtain ⟨w, ⟨i⟩⟩ := h
exact ⟨w, Preadditive.epi_of_cokernel_zero ((cancel_mono i.hom).mp (by ext))⟩⟩
#align category_theory.preadditive.exact_iff_homology_zero CategoryTheory.Preadditive.exact_iff_homology'_zero
theorem Preadditive.exact_of_iso_of_exact {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁)
(f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : Arrow.mk f₁ ≅ Arrow.mk f₂) (β : Arrow.mk g₁ ≅ Arrow.mk g₂)
(p : α.hom.right = β.hom.left) (h : Exact f₁ g₁) : Exact f₂ g₂ := by
rw [Preadditive.exact_iff_homology'_zero] at h ⊢
rcases h with ⟨w₁, ⟨i⟩⟩
suffices w₂ : f₂ ≫ g₂ = 0 from ⟨w₂, ⟨(homology'.mapIso w₁ w₂ α β p).symm.trans i⟩⟩
rw [← cancel_epi α.hom.left, ← cancel_mono β.inv.right, comp_zero, zero_comp, ← w₁]
have eq₁ := β.inv.w
have eq₂ := α.hom.w
dsimp at eq₁ eq₂
simp only [Category.assoc, Category.assoc, ← eq₁, reassoc_of% eq₂, p,
← reassoc_of% (Arrow.comp_left β.hom β.inv), β.hom_inv_id, Arrow.id_left, Category.id_comp]
#align category_theory.preadditive.exact_of_iso_of_exact CategoryTheory.Preadditive.exact_of_iso_of_exact
theorem Preadditive.exact_of_iso_of_exact' {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁)
(f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : A₁ ≅ A₂) (β : B₁ ≅ B₂) (γ : C₁ ≅ C₂)
(hsq₁ : α.hom ≫ f₂ = f₁ ≫ β.hom) (hsq₂ : β.hom ≫ g₂ = g₁ ≫ γ.hom) (h : Exact f₁ g₁) :
Exact f₂ g₂ :=
Preadditive.exact_of_iso_of_exact f₁ g₁ f₂ g₂ (Arrow.isoMk α β hsq₁) (Arrow.isoMk β γ hsq₂) rfl h
#align category_theory.preadditive.exact_of_iso_of_exact' CategoryTheory.Preadditive.exact_of_iso_of_exact'
theorem Preadditive.exact_iff_exact_of_iso {A₁ B₁ C₁ A₂ B₂ C₂ : V} (f₁ : A₁ ⟶ B₁) (g₁ : B₁ ⟶ C₁)
(f₂ : A₂ ⟶ B₂) (g₂ : B₂ ⟶ C₂) (α : Arrow.mk f₁ ≅ Arrow.mk f₂) (β : Arrow.mk g₁ ≅ Arrow.mk g₂)
(p : α.hom.right = β.hom.left) : Exact f₁ g₁ ↔ Exact f₂ g₂ :=
⟨Preadditive.exact_of_iso_of_exact _ _ _ _ _ _ p,
Preadditive.exact_of_iso_of_exact _ _ _ _ α.symm β.symm
(by
rw [← cancel_mono α.hom.right]
simp only [Iso.symm_hom, ← Arrow.comp_right, α.inv_hom_id]
simp only [p, ← Arrow.comp_left, Arrow.id_right, Arrow.id_left, Iso.inv_hom_id]
rfl)⟩
#align category_theory.preadditive.exact_iff_exact_of_iso CategoryTheory.Preadditive.exact_iff_exact_of_iso
end
section
variable [HasZeroMorphisms V] [HasKernels V]
theorem comp_eq_zero_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C)
(p : imageSubobject f = kernelSubobject g) : f ≫ g = 0 := by
suffices Subobject.arrow (imageSubobject f) ≫ g = 0 by
rw [← imageSubobject_arrow_comp f, Category.assoc, this, comp_zero]
rw [p, kernelSubobject_arrow_comp]
#align category_theory.comp_eq_zero_of_image_eq_kernel CategoryTheory.comp_eq_zero_of_image_eq_kernel
theorem imageToKernel_isIso_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C)
(p : imageSubobject f = kernelSubobject g) :
IsIso (imageToKernel f g (comp_eq_zero_of_image_eq_kernel f g p)) := by
refine ⟨⟨Subobject.ofLE _ _ p.ge, ?_⟩⟩
dsimp [imageToKernel]
simp only [Subobject.ofLE_comp_ofLE, Subobject.ofLE_refl, and_self]
#align category_theory.image_to_kernel_is_iso_of_image_eq_kernel CategoryTheory.imageToKernel_isIso_of_image_eq_kernel
-- We'll prove the converse later, when `V` is abelian.
theorem exact_of_image_eq_kernel {A B C : V} (f : A ⟶ B) (g : B ⟶ C)
(p : imageSubobject f = kernelSubobject g) : Exact f g :=
{ w := comp_eq_zero_of_image_eq_kernel f g p
epi := by
haveI := imageToKernel_isIso_of_image_eq_kernel f g p
infer_instance }
#align category_theory.exact_of_image_eq_kernel CategoryTheory.exact_of_image_eq_kernel
end
variable {A B C D : V} {f : A ⟶ B} {g : B ⟶ C} {h : C ⟶ D}
attribute [local instance] epi_comp
section
variable [HasZeroMorphisms V] [HasEqualizers V]
theorem exact_comp_hom_inv_comp (i : B ≅ D) (h : Exact f g) : Exact (f ≫ i.hom) (i.inv ≫ g) := by
refine ⟨by simp [h.w], ?_⟩
rw [imageToKernel_comp_hom_inv_comp]
haveI := h.epi
infer_instance
#align category_theory.exact_comp_hom_inv_comp CategoryTheory.exact_comp_hom_inv_comp
theorem exact_comp_inv_hom_comp (i : D ≅ B) (h : Exact f g) : Exact (f ≫ i.inv) (i.hom ≫ g) :=
exact_comp_hom_inv_comp i.symm h
#align category_theory.exact_comp_inv_hom_comp CategoryTheory.exact_comp_inv_hom_comp
theorem exact_comp_hom_inv_comp_iff (i : B ≅ D) : Exact (f ≫ i.hom) (i.inv ≫ g) ↔ Exact f g :=
⟨fun h => by simpa using exact_comp_inv_hom_comp i h, exact_comp_hom_inv_comp i⟩
#align category_theory.exact_comp_hom_inv_comp_iff CategoryTheory.exact_comp_hom_inv_comp_iff
theorem exact_epi_comp (hgh : Exact g h) [Epi f] : Exact (f ≫ g) h := by
refine ⟨by simp [hgh.w], ?_⟩
rw [imageToKernel_comp_left]
· haveI := hgh.epi
infer_instance
#align category_theory.exact_epi_comp CategoryTheory.exact_epi_comp
@[simp]
theorem exact_iso_comp [IsIso f] : Exact (f ≫ g) h ↔ Exact g h :=
⟨fun w => by
rw [← IsIso.inv_hom_id_assoc f g]
exact exact_epi_comp w, fun w => exact_epi_comp w⟩
#align category_theory.exact_iso_comp CategoryTheory.exact_iso_comp
theorem exact_comp_mono (hfg : Exact f g) [Mono h] : Exact f (g ≫ h) := by
refine ⟨by simp [hfg.w_assoc], ?_⟩
rw [imageToKernel_comp_right f g h hfg.w]
haveI := hfg.epi
infer_instance
#align category_theory.exact_comp_mono CategoryTheory.exact_comp_mono
theorem exact_comp_mono_iff [Mono h] : Exact f (g ≫ h) ↔ Exact f g := by
refine
⟨fun hfg => ⟨zero_of_comp_mono h (by rw [Category.assoc, hfg.1]), ?_⟩, fun h =>
exact_comp_mono h⟩
rw [← (Iso.eq_comp_inv _).1 (imageToKernel_comp_mono _ _ h hfg.1)]
haveI := hfg.2; infer_instance
#align category_theory.exact_comp_mono_iff CategoryTheory.exact_comp_mono_iff
@[simp]
theorem exact_comp_iso [IsIso h] : Exact f (g ≫ h) ↔ Exact f g :=
exact_comp_mono_iff
#align category_theory.exact_comp_iso CategoryTheory.exact_comp_iso
theorem exact_kernelSubobject_arrow : Exact (kernelSubobject f).arrow f := by
refine ⟨by simp, ?_⟩
refine @IsIso.epi_of_iso _ _ _ _ _ ?_
exact ⟨⟨factorThruImageSubobject _, by aesop_cat, by aesop_cat⟩⟩
#align category_theory.exact_kernel_subobject_arrow CategoryTheory.exact_kernelSubobject_arrow
theorem exact_kernel_ι : Exact (kernel.ι f) f := by
rw [← kernelSubobject_arrow', exact_iso_comp]
exact exact_kernelSubobject_arrow
#align category_theory.exact_kernel_ι CategoryTheory.exact_kernel_ι
instance Exact.epi_factorThruKernelSubobject (h : Exact f g) :
Epi (factorThruKernelSubobject g f h.w) := by
rw [← factorThruImageSubobject_comp_imageToKernel]
haveI := h.epi
apply epi_comp
-- Porting note: this can no longer be an instance in Lean4
lemma Exact.epi_kernel_lift (h : Exact f g) : Epi (kernel.lift g f h.w) := by
rw [← factorThruKernelSubobject_comp_kernelSubobjectIso]
haveI := h.epi_factorThruKernelSubobject
apply epi_comp
variable (A)
theorem kernelSubobject_arrow_eq_zero_of_exact_zero_left (h : Exact (0 : A ⟶ B) g) :
(kernelSubobject g).arrow = 0 := by
haveI := h.epi
rw [← cancel_epi (imageToKernel (0 : A ⟶ B) g h.w), ←
cancel_epi (factorThruImageSubobject (0 : A ⟶ B))]
simp
#align category_theory.kernel_subobject_arrow_eq_zero_of_exact_zero_left CategoryTheory.kernelSubobject_arrow_eq_zero_of_exact_zero_left
theorem kernel_ι_eq_zero_of_exact_zero_left (h : Exact (0 : A ⟶ B) g) : kernel.ι g = 0 := by
rw [← kernelSubobject_arrow']
simp [kernelSubobject_arrow_eq_zero_of_exact_zero_left A h]
#align category_theory.kernel_ι_eq_zero_of_exact_zero_left CategoryTheory.kernel_ι_eq_zero_of_exact_zero_left
theorem exact_zero_left_of_mono [HasZeroObject V] [Mono g] : Exact (0 : A ⟶ B) g :=
⟨by simp, imageToKernel_epi_of_zero_of_mono _⟩
#align category_theory.exact_zero_left_of_mono CategoryTheory.exact_zero_left_of_mono
end
section HasCokernels
variable [HasZeroMorphisms V] [HasEqualizers V] [HasCokernels V] (f g)
@[reassoc (attr := simp)]
| Mathlib/Algebra/Homology/Exact.lean | 273 | 279 | theorem kernel_comp_cokernel (h : Exact f g) : kernel.ι g ≫ cokernel.π f = 0 := by |
suffices Subobject.arrow (kernelSubobject g) ≫ cokernel.π f = 0 by
rw [← kernelSubobject_arrow', Category.assoc, this, comp_zero]
haveI := h.epi
apply zero_of_epi_comp (imageToKernel f g h.w) _
rw [imageToKernel_arrow_assoc, ← imageSubobject_arrow, Category.assoc, ← Iso.eq_inv_comp]
aesop_cat
|
import Mathlib.Probability.Kernel.MeasurableIntegral
#align_import probability.kernel.composition from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b"
open MeasureTheory
open scoped ENNReal
namespace ProbabilityTheory
namespace kernel
variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
section CompositionProduct
variable {γ : Type*} {mγ : MeasurableSpace γ} {s : Set (β × γ)}
noncomputable def compProdFun (κ : kernel α β) (η : kernel (α × β) γ) (a : α) (s : Set (β × γ)) :
ℝ≥0∞ :=
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a
#align probability_theory.kernel.comp_prod_fun ProbabilityTheory.kernel.compProdFun
theorem compProdFun_empty (κ : kernel α β) (η : kernel (α × β) γ) (a : α) :
compProdFun κ η a ∅ = 0 := by
simp only [compProdFun, Set.mem_empty_iff_false, Set.setOf_false, measure_empty,
MeasureTheory.lintegral_const, zero_mul]
#align probability_theory.kernel.comp_prod_fun_empty ProbabilityTheory.kernel.compProdFun_empty
theorem compProdFun_iUnion (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α)
(f : ℕ → Set (β × γ)) (hf_meas : ∀ i, MeasurableSet (f i))
(hf_disj : Pairwise (Disjoint on f)) :
compProdFun κ η a (⋃ i, f i) = ∑' i, compProdFun κ η a (f i) := by
have h_Union :
(fun b => η (a, b) {c : γ | (b, c) ∈ ⋃ i, f i}) = fun b =>
η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i}) := by
ext1 b
congr with c
simp only [Set.mem_iUnion, Set.iSup_eq_iUnion, Set.mem_setOf_eq]
rw [compProdFun, h_Union]
have h_tsum :
(fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i})) = fun b =>
∑' i, η (a, b) {c : γ | (b, c) ∈ f i} := by
ext1 b
rw [measure_iUnion]
· intro i j hij s hsi hsj c hcs
have hbci : {(b, c)} ⊆ f i := by rw [Set.singleton_subset_iff]; exact hsi hcs
have hbcj : {(b, c)} ⊆ f j := by rw [Set.singleton_subset_iff]; exact hsj hcs
simpa only [Set.bot_eq_empty, Set.le_eq_subset, Set.singleton_subset_iff,
Set.mem_empty_iff_false] using hf_disj hij hbci hbcj
· -- Porting note: behavior of `@` changed relative to lean 3, was
-- exact fun i => (@measurable_prod_mk_left β γ _ _ b) _ (hf_meas i)
exact fun i => (@measurable_prod_mk_left β γ _ _ b) (hf_meas i)
rw [h_tsum, lintegral_tsum]
· rfl
· intro i
have hm : MeasurableSet {p : (α × β) × γ | (p.1.2, p.2) ∈ f i} :=
measurable_fst.snd.prod_mk measurable_snd (hf_meas i)
exact ((measurable_kernel_prod_mk_left hm).comp measurable_prod_mk_left).aemeasurable
#align probability_theory.kernel.comp_prod_fun_Union ProbabilityTheory.kernel.compProdFun_iUnion
theorem compProdFun_tsum_right (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α)
(hs : MeasurableSet s) : compProdFun κ η a s = ∑' n, compProdFun κ (seq η n) a s := by
simp_rw [compProdFun, (measure_sum_seq η _).symm]
have :
∫⁻ b, Measure.sum (fun n => seq η n (a, b)) {c : γ | (b, c) ∈ s} ∂κ a =
∫⁻ b, ∑' n, seq η n (a, b) {c : γ | (b, c) ∈ s} ∂κ a := by
congr
ext1 b
rw [Measure.sum_apply]
exact measurable_prod_mk_left hs
rw [this, lintegral_tsum]
exact fun n => ((measurable_kernel_prod_mk_left (κ := (seq η n))
((measurable_fst.snd.prod_mk measurable_snd) hs)).comp measurable_prod_mk_left).aemeasurable
#align probability_theory.kernel.comp_prod_fun_tsum_right ProbabilityTheory.kernel.compProdFun_tsum_right
theorem compProdFun_tsum_left (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel κ] (a : α)
(s : Set (β × γ)) : compProdFun κ η a s = ∑' n, compProdFun (seq κ n) η a s := by
simp_rw [compProdFun, (measure_sum_seq κ _).symm, lintegral_sum_measure]
#align probability_theory.kernel.comp_prod_fun_tsum_left ProbabilityTheory.kernel.compProdFun_tsum_left
theorem compProdFun_eq_tsum (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) :
compProdFun κ η a s = ∑' (n) (m), compProdFun (seq κ n) (seq η m) a s := by
simp_rw [compProdFun_tsum_left κ η a s, compProdFun_tsum_right _ η a hs]
#align probability_theory.kernel.comp_prod_fun_eq_tsum ProbabilityTheory.kernel.compProdFun_eq_tsum
theorem measurable_compProdFun_of_finite (κ : kernel α β) [IsFiniteKernel κ] (η : kernel (α × β) γ)
[IsFiniteKernel η] (hs : MeasurableSet s) : Measurable fun a => compProdFun κ η a s := by
simp only [compProdFun]
have h_meas : Measurable (Function.uncurry fun a b => η (a, b) {c : γ | (b, c) ∈ s}) := by
have :
(Function.uncurry fun a b => η (a, b) {c : γ | (b, c) ∈ s}) = fun p =>
η p {c : γ | (p.2, c) ∈ s} := by
ext1 p
rw [Function.uncurry_apply_pair]
rw [this]
exact measurable_kernel_prod_mk_left (measurable_fst.snd.prod_mk measurable_snd hs)
exact h_meas.lintegral_kernel_prod_right
#align probability_theory.kernel.measurable_comp_prod_fun_of_finite ProbabilityTheory.kernel.measurable_compProdFun_of_finite
theorem measurable_compProdFun (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (hs : MeasurableSet s) : Measurable fun a => compProdFun κ η a s := by
simp_rw [compProdFun_tsum_right κ η _ hs]
refine Measurable.ennreal_tsum fun n => ?_
simp only [compProdFun]
have h_meas : Measurable (Function.uncurry fun a b => seq η n (a, b) {c : γ | (b, c) ∈ s}) := by
have :
(Function.uncurry fun a b => seq η n (a, b) {c : γ | (b, c) ∈ s}) = fun p =>
seq η n p {c : γ | (p.2, c) ∈ s} := by
ext1 p
rw [Function.uncurry_apply_pair]
rw [this]
exact measurable_kernel_prod_mk_left (measurable_fst.snd.prod_mk measurable_snd hs)
exact h_meas.lintegral_kernel_prod_right
#align probability_theory.kernel.measurable_comp_prod_fun ProbabilityTheory.kernel.measurable_compProdFun
open scoped Classical
noncomputable def compProd (κ : kernel α β) (η : kernel (α × β) γ) : kernel α (β × γ) :=
if h : IsSFiniteKernel κ ∧ IsSFiniteKernel η then
{ val := fun a ↦
Measure.ofMeasurable (fun s _ => compProdFun κ η a s) (compProdFun_empty κ η a)
(@compProdFun_iUnion _ _ _ _ _ _ κ η h.2 a)
property := by
have : IsSFiniteKernel κ := h.1
have : IsSFiniteKernel η := h.2
refine Measure.measurable_of_measurable_coe _ fun s hs => ?_
have :
(fun a =>
Measure.ofMeasurable (fun s _ => compProdFun κ η a s) (compProdFun_empty κ η a)
(compProdFun_iUnion κ η a) s) =
fun a => compProdFun κ η a s := by
ext1 a; rwa [Measure.ofMeasurable_apply]
rw [this]
exact measurable_compProdFun κ η hs }
else 0
#align probability_theory.kernel.comp_prod ProbabilityTheory.kernel.compProd
scoped[ProbabilityTheory] infixl:100 " ⊗ₖ " => ProbabilityTheory.kernel.compProd
theorem compProd_apply_eq_compProdFun (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) :
(κ ⊗ₖ η) a s = compProdFun κ η a s := by
rw [compProd, dif_pos]
swap
· constructor <;> infer_instance
change
Measure.ofMeasurable (fun s _ => compProdFun κ η a s) (compProdFun_empty κ η a)
(compProdFun_iUnion κ η a) s =
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a
rw [Measure.ofMeasurable_apply _ hs]
rfl
#align probability_theory.kernel.comp_prod_apply_eq_comp_prod_fun ProbabilityTheory.kernel.compProd_apply_eq_compProdFun
theorem compProd_of_not_isSFiniteKernel_left (κ : kernel α β) (η : kernel (α × β) γ)
(h : ¬ IsSFiniteKernel κ) :
κ ⊗ₖ η = 0 := by
rw [compProd, dif_neg]
simp [h]
theorem compProd_of_not_isSFiniteKernel_right (κ : kernel α β) (η : kernel (α × β) γ)
(h : ¬ IsSFiniteKernel η) :
κ ⊗ₖ η = 0 := by
rw [compProd, dif_neg]
simp [h]
theorem compProd_apply (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) :
(κ ⊗ₖ η) a s = ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a :=
compProd_apply_eq_compProdFun κ η a hs
#align probability_theory.kernel.comp_prod_apply ProbabilityTheory.kernel.compProd_apply
theorem le_compProd_apply (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (a : α) (s : Set (β × γ)) :
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a ≤ (κ ⊗ₖ η) a s :=
calc
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a ≤
∫⁻ b, η (a, b) {c | (b, c) ∈ toMeasurable ((κ ⊗ₖ η) a) s} ∂κ a :=
lintegral_mono fun _ => measure_mono fun _ h_mem => subset_toMeasurable _ _ h_mem
_ = (κ ⊗ₖ η) a (toMeasurable ((κ ⊗ₖ η) a) s) :=
(kernel.compProd_apply_eq_compProdFun κ η a (measurableSet_toMeasurable _ _)).symm
_ = (κ ⊗ₖ η) a s := measure_toMeasurable s
#align probability_theory.kernel.le_comp_prod_apply ProbabilityTheory.kernel.le_compProd_apply
@[simp]
lemma compProd_zero_left (κ : kernel (α × β) γ) :
(0 : kernel α β) ⊗ₖ κ = 0 := by
by_cases h : IsSFiniteKernel κ
· ext a s hs
rw [kernel.compProd_apply _ _ _ hs]
simp
· rw [kernel.compProd_of_not_isSFiniteKernel_right _ _ h]
@[simp]
lemma compProd_zero_right (κ : kernel α β) (γ : Type*) [MeasurableSpace γ] :
κ ⊗ₖ (0 : kernel (α × β) γ) = 0 := by
by_cases h : IsSFiniteKernel κ
· ext a s hs
rw [kernel.compProd_apply _ _ _ hs]
simp
· rw [kernel.compProd_of_not_isSFiniteKernel_left _ _ h]
section MapComap
variable {γ δ : Type*} {mγ : MeasurableSpace γ} {mδ : MeasurableSpace δ} {f : β → γ} {g : γ → α}
noncomputable def map (κ : kernel α β) (f : β → γ) (hf : Measurable f) : kernel α γ where
val a := (κ a).map f
property := (Measure.measurable_map _ hf).comp (kernel.measurable κ)
#align probability_theory.kernel.map ProbabilityTheory.kernel.map
theorem map_apply (κ : kernel α β) (hf : Measurable f) (a : α) : map κ f hf a = (κ a).map f :=
rfl
#align probability_theory.kernel.map_apply ProbabilityTheory.kernel.map_apply
theorem map_apply' (κ : kernel α β) (hf : Measurable f) (a : α) {s : Set γ} (hs : MeasurableSet s) :
map κ f hf a s = κ a (f ⁻¹' s) := by rw [map_apply, Measure.map_apply hf hs]
#align probability_theory.kernel.map_apply' ProbabilityTheory.kernel.map_apply'
@[simp]
lemma map_zero (hf : Measurable f) : kernel.map (0 : kernel α β) f hf = 0 := by
ext; rw [kernel.map_apply]; simp
@[simp]
lemma map_id (κ : kernel α β) : map κ id measurable_id = κ := by ext a; rw [map_apply]; simp
@[simp]
lemma map_id' (κ : kernel α β) : map κ (fun a ↦ a) measurable_id = κ := map_id κ
nonrec theorem lintegral_map (κ : kernel α β) (hf : Measurable f) (a : α) {g' : γ → ℝ≥0∞}
(hg : Measurable g') : ∫⁻ b, g' b ∂map κ f hf a = ∫⁻ a, g' (f a) ∂κ a := by
rw [map_apply _ hf, lintegral_map hg hf]
#align probability_theory.kernel.lintegral_map ProbabilityTheory.kernel.lintegral_map
| Mathlib/Probability/Kernel/Composition.lean | 646 | 651 | theorem sum_map_seq (κ : kernel α β) [IsSFiniteKernel κ] (hf : Measurable f) :
(kernel.sum fun n => map (seq κ n) f hf) = map κ f hf := by |
ext a s hs
rw [kernel.sum_apply, map_apply' κ hf a hs, Measure.sum_apply _ hs, ← measure_sum_seq κ,
Measure.sum_apply _ (hf hs)]
simp_rw [map_apply' _ hf _ hs]
|
import Mathlib.Algebra.Polynomial.Div
import Mathlib.RingTheory.Polynomial.Basic
import Mathlib.RingTheory.Ideal.QuotientOperations
#align_import ring_theory.polynomial.quotient from "leanprover-community/mathlib"@"4f840b8d28320b20c87db17b3a6eef3d325fca87"
set_option linter.uppercaseLean3 false
open Polynomial
namespace Ideal
noncomputable section
open Polynomial
variable {R : Type*} [CommRing R]
| Mathlib/RingTheory/Polynomial/Quotient.lean | 87 | 91 | theorem quotient_map_C_eq_zero {I : Ideal R} :
∀ a ∈ I, ((Quotient.mk (map (C : R →+* R[X]) I : Ideal R[X])).comp C) a = 0 := by |
intro a ha
rw [RingHom.comp_apply, Quotient.eq_zero_iff_mem]
exact mem_map_of_mem _ ha
|
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.RingTheory.IntegralClosure
import Mathlib.RingTheory.Polynomial.IntegralNormalization
#align_import ring_theory.algebraic from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
universe u v w
open scoped Classical
open Polynomial
section
variable (R : Type u) {A : Type v} [CommRing R] [Ring A] [Algebra R A]
def IsAlgebraic (x : A) : Prop :=
∃ p : R[X], p ≠ 0 ∧ aeval x p = 0
#align is_algebraic IsAlgebraic
def Transcendental (x : A) : Prop :=
¬IsAlgebraic R x
#align transcendental Transcendental
theorem is_transcendental_of_subsingleton [Subsingleton R] (x : A) : Transcendental R x :=
fun ⟨p, h, _⟩ => h <| Subsingleton.elim p 0
#align is_transcendental_of_subsingleton is_transcendental_of_subsingleton
variable {R}
nonrec
def Subalgebra.IsAlgebraic (S : Subalgebra R A) : Prop :=
∀ x ∈ S, IsAlgebraic R x
#align subalgebra.is_algebraic Subalgebra.IsAlgebraic
variable (R A)
protected class Algebra.IsAlgebraic : Prop :=
isAlgebraic : ∀ x : A, IsAlgebraic R x
#align algebra.is_algebraic Algebra.IsAlgebraic
variable {R A}
lemma Algebra.isAlgebraic_def : Algebra.IsAlgebraic R A ↔ ∀ x : A, IsAlgebraic R x :=
⟨fun ⟨h⟩ ↦ h, fun h ↦ ⟨h⟩⟩
theorem Subalgebra.isAlgebraic_iff (S : Subalgebra R A) :
S.IsAlgebraic ↔ @Algebra.IsAlgebraic R S _ _ S.algebra := by
delta Subalgebra.IsAlgebraic
rw [Subtype.forall', Algebra.isAlgebraic_def]
refine forall_congr' fun x => exists_congr fun p => and_congr Iff.rfl ?_
have h : Function.Injective S.val := Subtype.val_injective
conv_rhs => rw [← h.eq_iff, AlgHom.map_zero]
rw [← aeval_algHom_apply, S.val_apply]
#align subalgebra.is_algebraic_iff Subalgebra.isAlgebraic_iff
theorem Algebra.isAlgebraic_iff : Algebra.IsAlgebraic R A ↔ (⊤ : Subalgebra R A).IsAlgebraic := by
delta Subalgebra.IsAlgebraic
simp only [Algebra.isAlgebraic_def, Algebra.mem_top, forall_prop_of_true, iff_self_iff]
#align algebra.is_algebraic_iff Algebra.isAlgebraic_iff
theorem isAlgebraic_iff_not_injective {x : A} :
IsAlgebraic R x ↔ ¬Function.Injective (Polynomial.aeval x : R[X] →ₐ[R] A) := by
simp only [IsAlgebraic, injective_iff_map_eq_zero, not_forall, and_comm, exists_prop]
#align is_algebraic_iff_not_injective isAlgebraic_iff_not_injective
end
section zero_ne_one
variable {R : Type u} {S : Type*} {A : Type v} [CommRing R]
variable [CommRing S] [Ring A] [Algebra R A] [Algebra R S] [Algebra S A]
variable [IsScalarTower R S A]
theorem IsIntegral.isAlgebraic [Nontrivial R] {x : A} : IsIntegral R x → IsAlgebraic R x :=
fun ⟨p, hp, hpx⟩ => ⟨p, hp.ne_zero, hpx⟩
#align is_integral.is_algebraic IsIntegral.isAlgebraic
instance Algebra.IsIntegral.isAlgebraic [Nontrivial R] [Algebra.IsIntegral R A] :
Algebra.IsAlgebraic R A := ⟨fun a ↦ (Algebra.IsIntegral.isIntegral a).isAlgebraic⟩
theorem isAlgebraic_zero [Nontrivial R] : IsAlgebraic R (0 : A) :=
⟨_, X_ne_zero, aeval_X 0⟩
#align is_algebraic_zero isAlgebraic_zero
theorem isAlgebraic_algebraMap [Nontrivial R] (x : R) : IsAlgebraic R (algebraMap R A x) :=
⟨_, X_sub_C_ne_zero x, by rw [_root_.map_sub, aeval_X, aeval_C, sub_self]⟩
#align is_algebraic_algebra_map isAlgebraic_algebraMap
| Mathlib/RingTheory/Algebraic.lean | 113 | 115 | theorem isAlgebraic_one [Nontrivial R] : IsAlgebraic R (1 : A) := by |
rw [← _root_.map_one (algebraMap R A)]
exact isAlgebraic_algebraMap 1
|
import Mathlib.Data.Finset.Prod
import Mathlib.Data.Set.Finite
#align_import data.finset.n_ary from "leanprover-community/mathlib"@"eba7871095e834365616b5e43c8c7bb0b37058d0"
open Function Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*}
namespace Finset
variable [DecidableEq α'] [DecidableEq β'] [DecidableEq γ] [DecidableEq γ'] [DecidableEq δ]
[DecidableEq δ'] [DecidableEq ε] [DecidableEq ε'] {f f' : α → β → γ} {g g' : α → β → γ → δ}
{s s' : Finset α} {t t' : Finset β} {u u' : Finset γ} {a a' : α} {b b' : β} {c : γ}
def image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : Finset γ :=
(s ×ˢ t).image <| uncurry f
#align finset.image₂ Finset.image₂
@[simp]
theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by
simp [image₂, and_assoc]
#align finset.mem_image₂ Finset.mem_image₂
@[simp, norm_cast]
theorem coe_image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t : Set γ) = Set.image2 f s t :=
Set.ext fun _ => mem_image₂
#align finset.coe_image₂ Finset.coe_image₂
theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t).card ≤ s.card * t.card :=
card_image_le.trans_eq <| card_product _ _
#align finset.card_image₂_le Finset.card_image₂_le
theorem card_image₂_iff :
(image₂ f s t).card = s.card * t.card ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by
rw [← card_product, ← coe_product]
exact card_image_iff
#align finset.card_image₂_iff Finset.card_image₂_iff
theorem card_image₂ (hf : Injective2 f) (s : Finset α) (t : Finset β) :
(image₂ f s t).card = s.card * t.card :=
(card_image_of_injective _ hf.uncurry).trans <| card_product _ _
#align finset.card_image₂ Finset.card_image₂
theorem mem_image₂_of_mem (ha : a ∈ s) (hb : b ∈ t) : f a b ∈ image₂ f s t :=
mem_image₂.2 ⟨a, ha, b, hb, rfl⟩
#align finset.mem_image₂_of_mem Finset.mem_image₂_of_mem
theorem mem_image₂_iff (hf : Injective2 f) : f a b ∈ image₂ f s t ↔ a ∈ s ∧ b ∈ t := by
rw [← mem_coe, coe_image₂, mem_image2_iff hf, mem_coe, mem_coe]
#align finset.mem_image₂_iff Finset.mem_image₂_iff
theorem image₂_subset (hs : s ⊆ s') (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s' t' := by
rw [← coe_subset, coe_image₂, coe_image₂]
exact image2_subset hs ht
#align finset.image₂_subset Finset.image₂_subset
theorem image₂_subset_left (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s t' :=
image₂_subset Subset.rfl ht
#align finset.image₂_subset_left Finset.image₂_subset_left
theorem image₂_subset_right (hs : s ⊆ s') : image₂ f s t ⊆ image₂ f s' t :=
image₂_subset hs Subset.rfl
#align finset.image₂_subset_right Finset.image₂_subset_right
theorem image_subset_image₂_left (hb : b ∈ t) : s.image (fun a => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ ha => mem_image₂_of_mem ha hb
#align finset.image_subset_image₂_left Finset.image_subset_image₂_left
theorem image_subset_image₂_right (ha : a ∈ s) : t.image (fun b => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ => mem_image₂_of_mem ha
#align finset.image_subset_image₂_right Finset.image_subset_image₂_right
theorem forall_image₂_iff {p : γ → Prop} :
(∀ z ∈ image₂ f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) := by
simp_rw [← mem_coe, coe_image₂, forall_image2_iff]
#align finset.forall_image₂_iff Finset.forall_image₂_iff
@[simp]
theorem image₂_subset_iff : image₂ f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image₂_iff
#align finset.image₂_subset_iff Finset.image₂_subset_iff
theorem image₂_subset_iff_left : image₂ f s t ⊆ u ↔ ∀ a ∈ s, (t.image fun b => f a b) ⊆ u := by
simp_rw [image₂_subset_iff, image_subset_iff]
#align finset.image₂_subset_iff_left Finset.image₂_subset_iff_left
theorem image₂_subset_iff_right : image₂ f s t ⊆ u ↔ ∀ b ∈ t, (s.image fun a => f a b) ⊆ u := by
simp_rw [image₂_subset_iff, image_subset_iff, @forall₂_swap α]
#align finset.image₂_subset_iff_right Finset.image₂_subset_iff_right
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
theorem image₂_nonempty_iff : (image₂ f s t).Nonempty ↔ s.Nonempty ∧ t.Nonempty := by
rw [← coe_nonempty, coe_image₂]
exact image2_nonempty_iff
#align finset.image₂_nonempty_iff Finset.image₂_nonempty_iff
theorem Nonempty.image₂ (hs : s.Nonempty) (ht : t.Nonempty) : (image₂ f s t).Nonempty :=
image₂_nonempty_iff.2 ⟨hs, ht⟩
#align finset.nonempty.image₂ Finset.Nonempty.image₂
theorem Nonempty.of_image₂_left (h : (s.image₂ f t).Nonempty) : s.Nonempty :=
(image₂_nonempty_iff.1 h).1
#align finset.nonempty.of_image₂_left Finset.Nonempty.of_image₂_left
theorem Nonempty.of_image₂_right (h : (s.image₂ f t).Nonempty) : t.Nonempty :=
(image₂_nonempty_iff.1 h).2
#align finset.nonempty.of_image₂_right Finset.Nonempty.of_image₂_right
@[simp]
theorem image₂_empty_left : image₂ f ∅ t = ∅ :=
coe_injective <| by simp
#align finset.image₂_empty_left Finset.image₂_empty_left
@[simp]
theorem image₂_empty_right : image₂ f s ∅ = ∅ :=
coe_injective <| by simp
#align finset.image₂_empty_right Finset.image₂_empty_right
@[simp]
theorem image₂_eq_empty_iff : image₂ f s t = ∅ ↔ s = ∅ ∨ t = ∅ := by
simp_rw [← not_nonempty_iff_eq_empty, image₂_nonempty_iff, not_and_or]
#align finset.image₂_eq_empty_iff Finset.image₂_eq_empty_iff
@[simp]
theorem image₂_singleton_left : image₂ f {a} t = t.image fun b => f a b :=
ext fun x => by simp
#align finset.image₂_singleton_left Finset.image₂_singleton_left
@[simp]
theorem image₂_singleton_right : image₂ f s {b} = s.image fun a => f a b :=
ext fun x => by simp
#align finset.image₂_singleton_right Finset.image₂_singleton_right
theorem image₂_singleton_left' : image₂ f {a} t = t.image (f a) :=
image₂_singleton_left
#align finset.image₂_singleton_left' Finset.image₂_singleton_left'
theorem image₂_singleton : image₂ f {a} {b} = {f a b} := by simp
#align finset.image₂_singleton Finset.image₂_singleton
theorem image₂_union_left [DecidableEq α] : image₂ f (s ∪ s') t = image₂ f s t ∪ image₂ f s' t :=
coe_injective <| by
push_cast
exact image2_union_left
#align finset.image₂_union_left Finset.image₂_union_left
theorem image₂_union_right [DecidableEq β] : image₂ f s (t ∪ t') = image₂ f s t ∪ image₂ f s t' :=
coe_injective <| by
push_cast
exact image2_union_right
#align finset.image₂_union_right Finset.image₂_union_right
@[simp]
theorem image₂_insert_left [DecidableEq α] :
image₂ f (insert a s) t = (t.image fun b => f a b) ∪ image₂ f s t :=
coe_injective <| by
push_cast
exact image2_insert_left
#align finset.image₂_insert_left Finset.image₂_insert_left
@[simp]
theorem image₂_insert_right [DecidableEq β] :
image₂ f s (insert b t) = (s.image fun a => f a b) ∪ image₂ f s t :=
coe_injective <| by
push_cast
exact image2_insert_right
#align finset.image₂_insert_right Finset.image₂_insert_right
theorem image₂_inter_left [DecidableEq α] (hf : Injective2 f) :
image₂ f (s ∩ s') t = image₂ f s t ∩ image₂ f s' t :=
coe_injective <| by
push_cast
exact image2_inter_left hf
#align finset.image₂_inter_left Finset.image₂_inter_left
theorem image₂_inter_right [DecidableEq β] (hf : Injective2 f) :
image₂ f s (t ∩ t') = image₂ f s t ∩ image₂ f s t' :=
coe_injective <| by
push_cast
exact image2_inter_right hf
#align finset.image₂_inter_right Finset.image₂_inter_right
theorem image₂_inter_subset_left [DecidableEq α] :
image₂ f (s ∩ s') t ⊆ image₂ f s t ∩ image₂ f s' t :=
coe_subset.1 <| by
push_cast
exact image2_inter_subset_left
#align finset.image₂_inter_subset_left Finset.image₂_inter_subset_left
theorem image₂_inter_subset_right [DecidableEq β] :
image₂ f s (t ∩ t') ⊆ image₂ f s t ∩ image₂ f s t' :=
coe_subset.1 <| by
push_cast
exact image2_inter_subset_right
#align finset.image₂_inter_subset_right Finset.image₂_inter_subset_right
theorem image₂_congr (h : ∀ a ∈ s, ∀ b ∈ t, f a b = f' a b) : image₂ f s t = image₂ f' s t :=
coe_injective <| by
push_cast
exact image2_congr h
#align finset.image₂_congr Finset.image₂_congr
theorem image₂_congr' (h : ∀ a b, f a b = f' a b) : image₂ f s t = image₂ f' s t :=
image₂_congr fun a _ b _ => h a b
#align finset.image₂_congr' Finset.image₂_congr'
variable (s t)
theorem card_image₂_singleton_left (hf : Injective (f a)) : (image₂ f {a} t).card = t.card := by
rw [image₂_singleton_left, card_image_of_injective _ hf]
#align finset.card_image₂_singleton_left Finset.card_image₂_singleton_left
theorem card_image₂_singleton_right (hf : Injective fun a => f a b) :
(image₂ f s {b}).card = s.card := by rw [image₂_singleton_right, card_image_of_injective _ hf]
#align finset.card_image₂_singleton_right Finset.card_image₂_singleton_right
theorem image₂_singleton_inter [DecidableEq β] (t₁ t₂ : Finset β) (hf : Injective (f a)) :
image₂ f {a} (t₁ ∩ t₂) = image₂ f {a} t₁ ∩ image₂ f {a} t₂ := by
simp_rw [image₂_singleton_left, image_inter _ _ hf]
#align finset.image₂_singleton_inter Finset.image₂_singleton_inter
theorem image₂_inter_singleton [DecidableEq α] (s₁ s₂ : Finset α) (hf : Injective fun a => f a b) :
image₂ f (s₁ ∩ s₂) {b} = image₂ f s₁ {b} ∩ image₂ f s₂ {b} := by
simp_rw [image₂_singleton_right, image_inter _ _ hf]
#align finset.image₂_inter_singleton Finset.image₂_inter_singleton
theorem card_le_card_image₂_left {s : Finset α} (hs : s.Nonempty) (hf : ∀ a, Injective (f a)) :
t.card ≤ (image₂ f s t).card := by
obtain ⟨a, ha⟩ := hs
rw [← card_image₂_singleton_left _ (hf a)]
exact card_le_card (image₂_subset_right <| singleton_subset_iff.2 ha)
#align finset.card_le_card_image₂_left Finset.card_le_card_image₂_left
| Mathlib/Data/Finset/NAry.lean | 260 | 264 | theorem card_le_card_image₂_right {t : Finset β} (ht : t.Nonempty)
(hf : ∀ b, Injective fun a => f a b) : s.card ≤ (image₂ f s t).card := by |
obtain ⟨b, hb⟩ := ht
rw [← card_image₂_singleton_right _ (hf b)]
exact card_le_card (image₂_subset_left <| singleton_subset_iff.2 hb)
|
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
import Mathlib.LinearAlgebra.Basic
import Mathlib.LinearAlgebra.GeneralLinearGroup
#align_import linear_algebra.affine_space.affine_equiv from "leanprover-community/mathlib"@"bd1fc183335ea95a9519a1630bcf901fe9326d83"
open Function Set
open Affine
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure AffineEquiv (k P₁ P₂ : Type*) {V₁ V₂ : Type*} [Ring k] [AddCommGroup V₁] [Module k V₁]
[AddTorsor V₁ P₁] [AddCommGroup V₂] [Module k V₂] [AddTorsor V₂ P₂] extends P₁ ≃ P₂ where
linear : V₁ ≃ₗ[k] V₂
map_vadd' : ∀ (p : P₁) (v : V₁), toEquiv (v +ᵥ p) = linear v +ᵥ toEquiv p
#align affine_equiv AffineEquiv
@[inherit_doc]
notation:25 P₁ " ≃ᵃ[" k:25 "] " P₂:0 => AffineEquiv k P₁ P₂
variable {k P₁ P₂ P₃ P₄ V₁ V₂ V₃ V₄ : Type*} [Ring k] [AddCommGroup V₁] [Module k V₁]
[AddTorsor V₁ P₁] [AddCommGroup V₂] [Module k V₂] [AddTorsor V₂ P₂] [AddCommGroup V₃]
[Module k V₃] [AddTorsor V₃ P₃] [AddCommGroup V₄] [Module k V₄] [AddTorsor V₄ P₄]
namespace AffineEquiv
@[coe]
def toAffineMap (e : P₁ ≃ᵃ[k] P₂) : P₁ →ᵃ[k] P₂ :=
{ e with }
#align affine_equiv.to_affine_map AffineEquiv.toAffineMap
@[simp]
theorem toAffineMap_mk (f : P₁ ≃ P₂) (f' : V₁ ≃ₗ[k] V₂) (h) :
toAffineMap (mk f f' h) = ⟨f, f', h⟩ :=
rfl
#align affine_equiv.to_affine_map_mk AffineEquiv.toAffineMap_mk
@[simp]
theorem linear_toAffineMap (e : P₁ ≃ᵃ[k] P₂) : e.toAffineMap.linear = e.linear :=
rfl
#align affine_equiv.linear_to_affine_map AffineEquiv.linear_toAffineMap
| Mathlib/LinearAlgebra/AffineSpace/AffineEquiv.lean | 80 | 86 | theorem toAffineMap_injective : Injective (toAffineMap : (P₁ ≃ᵃ[k] P₂) → P₁ →ᵃ[k] P₂) := by |
rintro ⟨e, el, h⟩ ⟨e', el', h'⟩ H
-- Porting note: added `AffineMap.mk.injEq`
simp only [toAffineMap_mk, AffineMap.mk.injEq, Equiv.coe_inj,
LinearEquiv.toLinearMap_inj] at H
congr
exacts [H.1, H.2]
|
import Mathlib.MeasureTheory.Integral.IntervalIntegral
import Mathlib.Analysis.Calculus.Deriv.ZPow
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Analysis.SpecialFunctions.NonIntegrable
import Mathlib.Analysis.Analytic.Basic
#align_import measure_theory.integral.circle_integral from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
variable {E : Type*} [NormedAddCommGroup E]
noncomputable section
open scoped Real NNReal Interval Pointwise Topology
open Complex MeasureTheory TopologicalSpace Metric Function Set Filter Asymptotics
def circleMap (c : ℂ) (R : ℝ) : ℝ → ℂ := fun θ => c + R * exp (θ * I)
#align circle_map circleMap
theorem periodic_circleMap (c : ℂ) (R : ℝ) : Periodic (circleMap c R) (2 * π) := fun θ => by
simp [circleMap, add_mul, exp_periodic _]
#align periodic_circle_map periodic_circleMap
theorem Set.Countable.preimage_circleMap {s : Set ℂ} (hs : s.Countable) (c : ℂ) {R : ℝ}
(hR : R ≠ 0) : (circleMap c R ⁻¹' s).Countable :=
show (((↑) : ℝ → ℂ) ⁻¹' ((· * I) ⁻¹'
(exp ⁻¹' ((R * ·) ⁻¹' ((c + ·) ⁻¹' s))))).Countable from
(((hs.preimage (add_right_injective _)).preimage <|
mul_right_injective₀ <| ofReal_ne_zero.2 hR).preimage_cexp.preimage <|
mul_left_injective₀ I_ne_zero).preimage ofReal_injective
#align set.countable.preimage_circle_map Set.Countable.preimage_circleMap
@[simp]
theorem circleMap_sub_center (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ - c = circleMap 0 R θ := by
simp [circleMap]
#align circle_map_sub_center circleMap_sub_center
theorem circleMap_zero (R θ : ℝ) : circleMap 0 R θ = R * exp (θ * I) :=
zero_add _
#align circle_map_zero circleMap_zero
@[simp]
theorem abs_circleMap_zero (R : ℝ) (θ : ℝ) : abs (circleMap 0 R θ) = |R| := by simp [circleMap]
#align abs_circle_map_zero abs_circleMap_zero
theorem circleMap_mem_sphere' (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ ∈ sphere c |R| := by simp
#align circle_map_mem_sphere' circleMap_mem_sphere'
theorem circleMap_mem_sphere (c : ℂ) {R : ℝ} (hR : 0 ≤ R) (θ : ℝ) :
circleMap c R θ ∈ sphere c R := by
simpa only [_root_.abs_of_nonneg hR] using circleMap_mem_sphere' c R θ
#align circle_map_mem_sphere circleMap_mem_sphere
theorem circleMap_mem_closedBall (c : ℂ) {R : ℝ} (hR : 0 ≤ R) (θ : ℝ) :
circleMap c R θ ∈ closedBall c R :=
sphere_subset_closedBall (circleMap_mem_sphere c hR θ)
#align circle_map_mem_closed_ball circleMap_mem_closedBall
theorem circleMap_not_mem_ball (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ ∉ ball c R := by
simp [dist_eq, le_abs_self]
#align circle_map_not_mem_ball circleMap_not_mem_ball
theorem circleMap_ne_mem_ball {c : ℂ} {R : ℝ} {w : ℂ} (hw : w ∈ ball c R) (θ : ℝ) :
circleMap c R θ ≠ w :=
(ne_of_mem_of_not_mem hw (circleMap_not_mem_ball _ _ _)).symm
#align circle_map_ne_mem_ball circleMap_ne_mem_ball
@[simp]
theorem range_circleMap (c : ℂ) (R : ℝ) : range (circleMap c R) = sphere c |R| :=
calc
range (circleMap c R) = c +ᵥ R • range fun θ : ℝ => exp (θ * I) := by
simp (config := { unfoldPartialApp := true }) only [← image_vadd, ← image_smul, ← range_comp,
vadd_eq_add, circleMap, Function.comp_def, real_smul]
_ = sphere c |R| := by
rw [Complex.range_exp_mul_I, smul_sphere R 0 zero_le_one]
simp
#align range_circle_map range_circleMap
@[simp]
| Mathlib/MeasureTheory/Integral/CircleIntegral.lean | 153 | 154 | theorem image_circleMap_Ioc (c : ℂ) (R : ℝ) : circleMap c R '' Ioc 0 (2 * π) = sphere c |R| := by |
rw [← range_circleMap, ← (periodic_circleMap c R).image_Ioc Real.two_pi_pos 0, zero_add]
|
import Mathlib.CategoryTheory.Adjunction.Basic
open CategoryTheory
variable {C D : Type*} [Category C] [Category D]
namespace CategoryTheory.Adjunction
@[simps]
def natTransEquiv {F F' : C ⥤ D} {G G' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') :
(G ⟶ G') ≃ (F' ⟶ F) where
toFun f := {
app := fun X ↦ F'.map ((adj1.unit ≫ whiskerLeft F f).app X) ≫ adj2.counit.app _
naturality := by
intro X Y g
simp only [← Category.assoc, ← Functor.map_comp]
erw [(adj1.unit ≫ (whiskerLeft F f)).naturality]
simp
}
invFun f := {
app := fun X ↦ adj2.unit.app (G.obj X) ≫ G'.map (f.app (G.obj X) ≫ adj1.counit.app X)
naturality := by
intro X Y g
erw [← adj2.unit_naturality_assoc]
simp only [← Functor.map_comp]
simp
}
left_inv f := by
ext X
simp only [Functor.comp_obj, NatTrans.comp_app, Functor.id_obj, whiskerLeft_app,
Functor.map_comp, Category.assoc, unit_naturality_assoc, right_triangle_components_assoc]
erw [← f.naturality (adj1.counit.app X), ← Category.assoc]
simp
right_inv f := by
ext
simp
@[simp]
lemma natTransEquiv_id {F : C ⥤ D} {G : D ⥤ C} (adj : F ⊣ G) :
natTransEquiv adj adj (𝟙 _) = 𝟙 _ := by ext; simp
@[simp]
lemma natTransEquiv_id_symm {F : C ⥤ D} {G : D ⥤ C} (adj : F ⊣ G) :
(natTransEquiv adj adj).symm (𝟙 _) = 𝟙 _ := by ext; simp
@[simp]
lemma natTransEquiv_comp {F F' F'' : C ⥤ D} {G G' G'' : D ⥤ C}
(adj1 : F ⊣ G) (adj2 : F' ⊣ G') (adj3 : F'' ⊣ G'') (f : G ⟶ G') (g : G' ⟶ G'') :
natTransEquiv adj2 adj3 g ≫ natTransEquiv adj1 adj2 f = natTransEquiv adj1 adj3 (f ≫ g) := by
apply (natTransEquiv adj1 adj3).symm.injective
ext X
simp only [natTransEquiv_symm_apply_app, Functor.comp_obj, NatTrans.comp_app,
natTransEquiv_apply_app, Functor.id_obj, whiskerLeft_app, Functor.map_comp, Category.assoc,
unit_naturality_assoc, right_triangle_components_assoc, Equiv.symm_apply_apply,
← g.naturality_assoc, ← g.naturality]
simp only [← Category.assoc, unit_naturality, Functor.comp_obj, right_triangle_components,
Category.comp_id, ← f.naturality, Category.id_comp]
@[simp]
lemma natTransEquiv_comp_symm {F F' F'' : C ⥤ D} {G G' G'' : D ⥤ C}
(adj1 : F ⊣ G) (adj2 : F' ⊣ G') (adj3 : F'' ⊣ G'') (f : F' ⟶ F) (g : F'' ⟶ F') :
(natTransEquiv adj1 adj2).symm f ≫ (natTransEquiv adj2 adj3).symm g =
(natTransEquiv adj1 adj3).symm (g ≫ f) := by
apply (natTransEquiv adj1 adj3).injective
ext
simp
@[simps]
def natIsoEquiv {F F' : C ⥤ D} {G G' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G') :
(G ≅ G') ≃ (F' ≅ F) where
toFun i := {
hom := natTransEquiv adj1 adj2 i.hom
inv := natTransEquiv adj2 adj1 i.inv
}
invFun i := {
hom := (natTransEquiv adj1 adj2).symm i.hom
inv := (natTransEquiv adj2 adj1).symm i.inv }
left_inv i := by simp
right_inv i := by simp
def leftAdjointUniq {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) : F ≅ F' :=
(natIsoEquiv adj1 adj2 (Iso.refl _)).symm
#align category_theory.adjunction.left_adjoint_uniq CategoryTheory.Adjunction.leftAdjointUniq
-- Porting note (#10618): removed simp as simp can prove this
theorem homEquiv_leftAdjointUniq_hom_app {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G)
(x : C) : adj1.homEquiv _ _ ((leftAdjointUniq adj1 adj2).hom.app x) = adj2.unit.app x := by
simp [leftAdjointUniq]
#align category_theory.adjunction.hom_equiv_left_adjoint_uniq_hom_app CategoryTheory.Adjunction.homEquiv_leftAdjointUniq_hom_app
@[reassoc (attr := simp)]
theorem unit_leftAdjointUniq_hom {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) :
adj1.unit ≫ whiskerRight (leftAdjointUniq adj1 adj2).hom G = adj2.unit := by
ext x
rw [NatTrans.comp_app, ← homEquiv_leftAdjointUniq_hom_app adj1 adj2]
simp [← G.map_comp]
#align category_theory.adjunction.unit_left_adjoint_uniq_hom CategoryTheory.Adjunction.unit_leftAdjointUniq_hom
@[reassoc (attr := simp)]
theorem unit_leftAdjointUniq_hom_app
{F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) (x : C) :
adj1.unit.app x ≫ G.map ((leftAdjointUniq adj1 adj2).hom.app x) = adj2.unit.app x := by
rw [← unit_leftAdjointUniq_hom adj1 adj2]; rfl
#align category_theory.adjunction.unit_left_adjoint_uniq_hom_app CategoryTheory.Adjunction.unit_leftAdjointUniq_hom_app
@[reassoc (attr := simp)]
theorem leftAdjointUniq_hom_counit {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) :
whiskerLeft G (leftAdjointUniq adj1 adj2).hom ≫ adj2.counit = adj1.counit := by
ext x
simp only [Functor.comp_obj, Functor.id_obj, leftAdjointUniq, Iso.symm_hom, natIsoEquiv_apply_inv,
Iso.refl_inv, NatTrans.comp_app, whiskerLeft_app, natTransEquiv_apply_app, whiskerLeft_id',
Category.comp_id, Category.assoc]
rw [← adj1.counit_naturality, ← Category.assoc, ← F.map_comp]
simp
#align category_theory.adjunction.left_adjoint_uniq_hom_counit CategoryTheory.Adjunction.leftAdjointUniq_hom_counit
@[reassoc (attr := simp)]
theorem leftAdjointUniq_hom_app_counit {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G)
(x : D) :
(leftAdjointUniq adj1 adj2).hom.app (G.obj x) ≫ adj2.counit.app x = adj1.counit.app x := by
rw [← leftAdjointUniq_hom_counit adj1 adj2]
rfl
#align category_theory.adjunction.left_adjoint_uniq_hom_app_counit CategoryTheory.Adjunction.leftAdjointUniq_hom_app_counit
theorem leftAdjointUniq_inv_app {F F' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G) (x : C) :
(leftAdjointUniq adj1 adj2).inv.app x = (leftAdjointUniq adj2 adj1).hom.app x :=
rfl
#align category_theory.adjunction.left_adjoint_uniq_inv_app CategoryTheory.Adjunction.leftAdjointUniq_inv_app
@[reassoc (attr := simp)]
theorem leftAdjointUniq_trans {F F' F'' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G)
(adj3 : F'' ⊣ G) :
(leftAdjointUniq adj1 adj2).hom ≫ (leftAdjointUniq adj2 adj3).hom =
(leftAdjointUniq adj1 adj3).hom := by
simp [leftAdjointUniq]
#align category_theory.adjunction.left_adjoint_uniq_trans CategoryTheory.Adjunction.leftAdjointUniq_trans
@[reassoc (attr := simp)]
theorem leftAdjointUniq_trans_app {F F' F'' : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F' ⊣ G)
(adj3 : F'' ⊣ G) (x : C) :
(leftAdjointUniq adj1 adj2).hom.app x ≫ (leftAdjointUniq adj2 adj3).hom.app x =
(leftAdjointUniq adj1 adj3).hom.app x := by
rw [← leftAdjointUniq_trans adj1 adj2 adj3]
rfl
#align category_theory.adjunction.left_adjoint_uniq_trans_app CategoryTheory.Adjunction.leftAdjointUniq_trans_app
@[simp]
theorem leftAdjointUniq_refl {F : C ⥤ D} {G : D ⥤ C} (adj1 : F ⊣ G) :
(leftAdjointUniq adj1 adj1).hom = 𝟙 _ := by
simp [leftAdjointUniq]
#align category_theory.adjunction.left_adjoint_uniq_refl CategoryTheory.Adjunction.leftAdjointUniq_refl
def rightAdjointUniq {F : C ⥤ D} {G G' : D ⥤ C} (adj1 : F ⊣ G) (adj2 : F ⊣ G') : G ≅ G' :=
(natIsoEquiv adj1 adj2).symm (Iso.refl _)
#align category_theory.adjunction.right_adjoint_uniq CategoryTheory.Adjunction.rightAdjointUniq
-- Porting note (#10618): simp can prove this
| Mathlib/CategoryTheory/Adjunction/Unique.lean | 190 | 193 | theorem homEquiv_symm_rightAdjointUniq_hom_app {F : C ⥤ D} {G G' : D ⥤ C} (adj1 : F ⊣ G)
(adj2 : F ⊣ G') (x : D) :
(adj2.homEquiv _ _).symm ((rightAdjointUniq adj1 adj2).hom.app x) = adj1.counit.app x := by |
simp [rightAdjointUniq]
|
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.Asymptotics.Theta
import Mathlib.Analysis.Normed.Order.Basic
#align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
namespace Asymptotics
open Filter Function
open Topology
section NormedAddCommGroup
variable {α β : Type*} [NormedAddCommGroup β]
def IsEquivalent (l : Filter α) (u v : α → β) :=
(u - v) =o[l] v
#align asymptotics.is_equivalent Asymptotics.IsEquivalent
@[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v
variable {u v w : α → β} {l : Filter α}
theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h
#align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO
nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v :=
(IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _)
set_option linter.uppercaseLean3 false in
#align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO
theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by
convert h.isLittleO.right_isBigO_add
simp
set_option linter.uppercaseLean3 false in
#align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm
theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v :=
⟨h.isBigO, h.isBigO_symm⟩
theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u :=
⟨h.isBigO_symm, h.isBigO⟩
@[refl]
theorem IsEquivalent.refl : u ~[l] u := by
rw [IsEquivalent, sub_self]
exact isLittleO_zero _ _
#align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl
@[symm]
theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u :=
(h.isLittleO.trans_isBigO h.isBigO_symm).symm
#align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm
@[trans]
theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) :
u ~[l] w :=
(huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO
#align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans
theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) :
w ~[l] v :=
huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _)
#align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left
theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) :
u ~[l] w :=
(huv.symm.congr_left hvw).symm
#align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right
theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by
rw [IsEquivalent, sub_zero]
exact isLittleO_zero_right_iff
#align asymptotics.is_equivalent_zero_iff_eventually_zero Asymptotics.isEquivalent_zero_iff_eventually_zero
theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by
refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩
rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem]
exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩
set_option linter.uppercaseLean3 false in
#align asymptotics.is_equivalent_zero_iff_is_O_zero Asymptotics.isEquivalent_zero_iff_isBigO_zero
theorem isEquivalent_const_iff_tendsto {c : β} (h : c ≠ 0) :
u ~[l] const _ c ↔ Tendsto u l (𝓝 c) := by
simp (config := { unfoldPartialApp := true }) only [IsEquivalent, const, isLittleO_const_iff h]
constructor <;> intro h
· have := h.sub (tendsto_const_nhds (x := -c))
simp only [Pi.sub_apply, sub_neg_eq_add, sub_add_cancel, zero_add] at this
exact this
· have := h.sub (tendsto_const_nhds (x := c))
rwa [sub_self] at this
#align asymptotics.is_equivalent_const_iff_tendsto Asymptotics.isEquivalent_const_iff_tendsto
theorem IsEquivalent.tendsto_const {c : β} (hu : u ~[l] const _ c) : Tendsto u l (𝓝 c) := by
rcases em <| c = 0 with rfl | h
· exact (tendsto_congr' <| isEquivalent_zero_iff_eventually_zero.mp hu).mpr tendsto_const_nhds
· exact (isEquivalent_const_iff_tendsto h).mp hu
#align asymptotics.is_equivalent.tendsto_const Asymptotics.IsEquivalent.tendsto_const
theorem IsEquivalent.tendsto_nhds {c : β} (huv : u ~[l] v) (hu : Tendsto u l (𝓝 c)) :
Tendsto v l (𝓝 c) := by
by_cases h : c = 0
· subst c
rw [← isLittleO_one_iff ℝ] at hu ⊢
simpa using (huv.symm.isLittleO.trans hu).add hu
· rw [← isEquivalent_const_iff_tendsto h] at hu ⊢
exact huv.symm.trans hu
#align asymptotics.is_equivalent.tendsto_nhds Asymptotics.IsEquivalent.tendsto_nhds
theorem IsEquivalent.tendsto_nhds_iff {c : β} (huv : u ~[l] v) :
Tendsto u l (𝓝 c) ↔ Tendsto v l (𝓝 c) :=
⟨huv.tendsto_nhds, huv.symm.tendsto_nhds⟩
#align asymptotics.is_equivalent.tendsto_nhds_iff Asymptotics.IsEquivalent.tendsto_nhds_iff
theorem IsEquivalent.add_isLittleO (huv : u ~[l] v) (hwv : w =o[l] v) : u + w ~[l] v := by
simpa only [IsEquivalent, add_sub_right_comm] using huv.add hwv
#align asymptotics.is_equivalent.add_is_o Asymptotics.IsEquivalent.add_isLittleO
| Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean | 176 | 177 | theorem IsEquivalent.sub_isLittleO (huv : u ~[l] v) (hwv : w =o[l] v) : u - w ~[l] v := by |
simpa only [sub_eq_add_neg] using huv.add_isLittleO hwv.neg_left
|
import Mathlib.Algebra.Algebra.RestrictScalars
import Mathlib.Algebra.Algebra.Subalgebra.Basic
import Mathlib.LinearAlgebra.Quotient
import Mathlib.LinearAlgebra.StdBasis
import Mathlib.GroupTheory.Finiteness
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.RingTheory.Nilpotent.Defs
#align_import ring_theory.finiteness from "leanprover-community/mathlib"@"c813ed7de0f5115f956239124e9b30f3a621966f"
open Function (Surjective)
namespace Submodule
variable {R : Type*} {M : Type*} [Semiring R] [AddCommMonoid M] [Module R M]
open Set
def FG (N : Submodule R M) : Prop :=
∃ S : Finset M, Submodule.span R ↑S = N
#align submodule.fg Submodule.FG
theorem fg_def {N : Submodule R M} : N.FG ↔ ∃ S : Set M, S.Finite ∧ span R S = N :=
⟨fun ⟨t, h⟩ => ⟨_, Finset.finite_toSet t, h⟩, by
rintro ⟨t', h, rfl⟩
rcases Finite.exists_finset_coe h with ⟨t, rfl⟩
exact ⟨t, rfl⟩⟩
#align submodule.fg_def Submodule.fg_def
theorem fg_iff_addSubmonoid_fg (P : Submodule ℕ M) : P.FG ↔ P.toAddSubmonoid.FG :=
⟨fun ⟨S, hS⟩ => ⟨S, by simpa [← span_nat_eq_addSubmonoid_closure] using hS⟩, fun ⟨S, hS⟩ =>
⟨S, by simpa [← span_nat_eq_addSubmonoid_closure] using hS⟩⟩
#align submodule.fg_iff_add_submonoid_fg Submodule.fg_iff_addSubmonoid_fg
theorem fg_iff_add_subgroup_fg {G : Type*} [AddCommGroup G] (P : Submodule ℤ G) :
P.FG ↔ P.toAddSubgroup.FG :=
⟨fun ⟨S, hS⟩ => ⟨S, by simpa [← span_int_eq_addSubgroup_closure] using hS⟩, fun ⟨S, hS⟩ =>
⟨S, by simpa [← span_int_eq_addSubgroup_closure] using hS⟩⟩
#align submodule.fg_iff_add_subgroup_fg Submodule.fg_iff_add_subgroup_fg
theorem fg_iff_exists_fin_generating_family {N : Submodule R M} :
N.FG ↔ ∃ (n : ℕ) (s : Fin n → M), span R (range s) = N := by
rw [fg_def]
constructor
· rintro ⟨S, Sfin, hS⟩
obtain ⟨n, f, rfl⟩ := Sfin.fin_embedding
exact ⟨n, f, hS⟩
· rintro ⟨n, s, hs⟩
exact ⟨range s, finite_range s, hs⟩
#align submodule.fg_iff_exists_fin_generating_family Submodule.fg_iff_exists_fin_generating_family
theorem exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul {R : Type*} [CommRing R] {M : Type*}
[AddCommGroup M] [Module R M] (I : Ideal R) (N : Submodule R M) (hn : N.FG) (hin : N ≤ I • N) :
∃ r : R, r - 1 ∈ I ∧ ∀ n ∈ N, r • n = (0 : M) := by
rw [fg_def] at hn
rcases hn with ⟨s, hfs, hs⟩
have : ∃ r : R, r - 1 ∈ I ∧ N ≤ (I • span R s).comap (LinearMap.lsmul R M r) ∧ s ⊆ N := by
refine ⟨1, ?_, ?_, ?_⟩
· rw [sub_self]
exact I.zero_mem
· rw [hs]
intro n hn
rw [mem_comap]
change (1 : R) • n ∈ I • N
rw [one_smul]
exact hin hn
· rw [← span_le, hs]
clear hin hs
revert this
refine Set.Finite.dinduction_on _ hfs (fun H => ?_) @fun i s _ _ ih H => ?_
· rcases H with ⟨r, hr1, hrn, _⟩
refine ⟨r, hr1, fun n hn => ?_⟩
specialize hrn hn
rwa [mem_comap, span_empty, smul_bot, mem_bot] at hrn
apply ih
rcases H with ⟨r, hr1, hrn, hs⟩
rw [← Set.singleton_union, span_union, smul_sup] at hrn
rw [Set.insert_subset_iff] at hs
have : ∃ c : R, c - 1 ∈ I ∧ c • i ∈ I • span R s := by
specialize hrn hs.1
rw [mem_comap, mem_sup] at hrn
rcases hrn with ⟨y, hy, z, hz, hyz⟩
dsimp at hyz
rw [mem_smul_span_singleton] at hy
rcases hy with ⟨c, hci, rfl⟩
use r - c
constructor
· rw [sub_right_comm]
exact I.sub_mem hr1 hci
· rw [sub_smul, ← hyz, add_sub_cancel_left]
exact hz
rcases this with ⟨c, hc1, hci⟩
refine ⟨c * r, ?_, ?_, hs.2⟩
· simpa only [mul_sub, mul_one, sub_add_sub_cancel] using I.add_mem (I.mul_mem_left c hr1) hc1
· intro n hn
specialize hrn hn
rw [mem_comap, mem_sup] at hrn
rcases hrn with ⟨y, hy, z, hz, hyz⟩
dsimp at hyz
rw [mem_smul_span_singleton] at hy
rcases hy with ⟨d, _, rfl⟩
simp only [mem_comap, LinearMap.lsmul_apply]
rw [mul_smul, ← hyz, smul_add, smul_smul, mul_comm, mul_smul]
exact add_mem (smul_mem _ _ hci) (smul_mem _ _ hz)
#align submodule.exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul Submodule.exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul
theorem exists_mem_and_smul_eq_self_of_fg_of_le_smul {R : Type*} [CommRing R] {M : Type*}
[AddCommGroup M] [Module R M] (I : Ideal R) (N : Submodule R M) (hn : N.FG) (hin : N ≤ I • N) :
∃ r ∈ I, ∀ n ∈ N, r • n = n := by
obtain ⟨r, hr, hr'⟩ := exists_sub_one_mem_and_smul_eq_zero_of_fg_of_le_smul I N hn hin
exact ⟨-(r - 1), I.neg_mem hr, fun n hn => by simpa [sub_smul] using hr' n hn⟩
#align submodule.exists_mem_and_smul_eq_self_of_fg_of_le_smul Submodule.exists_mem_and_smul_eq_self_of_fg_of_le_smul
theorem fg_bot : (⊥ : Submodule R M).FG :=
⟨∅, by rw [Finset.coe_empty, span_empty]⟩
#align submodule.fg_bot Submodule.fg_bot
theorem _root_.Subalgebra.fg_bot_toSubmodule {R A : Type*} [CommSemiring R] [Semiring A]
[Algebra R A] : (⊥ : Subalgebra R A).toSubmodule.FG :=
⟨{1}, by simp [Algebra.toSubmodule_bot, one_eq_span]⟩
#align subalgebra.fg_bot_to_submodule Subalgebra.fg_bot_toSubmodule
theorem fg_unit {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (I : (Submodule R A)ˣ) :
(I : Submodule R A).FG := by
have : (1 : A) ∈ (I * ↑I⁻¹ : Submodule R A) := by
rw [I.mul_inv]
exact one_le.mp le_rfl
obtain ⟨T, T', hT, hT', one_mem⟩ := mem_span_mul_finite_of_mem_mul this
refine ⟨T, span_eq_of_le _ hT ?_⟩
rw [← one_mul I, ← mul_one (span R (T : Set A))]
conv_rhs => rw [← I.inv_mul, ← mul_assoc]
refine mul_le_mul_left (le_trans ?_ <| mul_le_mul_right <| span_le.mpr hT')
simp only [Units.val_one, span_mul_span]
rwa [one_le]
#align submodule.fg_unit Submodule.fg_unit
theorem fg_of_isUnit {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] {I : Submodule R A}
(hI : IsUnit I) : I.FG :=
fg_unit hI.unit
#align submodule.fg_of_is_unit Submodule.fg_of_isUnit
theorem fg_span {s : Set M} (hs : s.Finite) : FG (span R s) :=
⟨hs.toFinset, by rw [hs.coe_toFinset]⟩
#align submodule.fg_span Submodule.fg_span
theorem fg_span_singleton (x : M) : FG (R ∙ x) :=
fg_span (finite_singleton x)
#align submodule.fg_span_singleton Submodule.fg_span_singleton
theorem FG.sup {N₁ N₂ : Submodule R M} (hN₁ : N₁.FG) (hN₂ : N₂.FG) : (N₁ ⊔ N₂).FG :=
let ⟨t₁, ht₁⟩ := fg_def.1 hN₁
let ⟨t₂, ht₂⟩ := fg_def.1 hN₂
fg_def.2 ⟨t₁ ∪ t₂, ht₁.1.union ht₂.1, by rw [span_union, ht₁.2, ht₂.2]⟩
#align submodule.fg.sup Submodule.FG.sup
theorem fg_finset_sup {ι : Type*} (s : Finset ι) (N : ι → Submodule R M) (h : ∀ i ∈ s, (N i).FG) :
(s.sup N).FG :=
Finset.sup_induction fg_bot (fun _ ha _ hb => ha.sup hb) h
#align submodule.fg_finset_sup Submodule.fg_finset_sup
theorem fg_biSup {ι : Type*} (s : Finset ι) (N : ι → Submodule R M) (h : ∀ i ∈ s, (N i).FG) :
(⨆ i ∈ s, N i).FG := by simpa only [Finset.sup_eq_iSup] using fg_finset_sup s N h
#align submodule.fg_bsupr Submodule.fg_biSup
theorem fg_iSup {ι : Sort*} [Finite ι] (N : ι → Submodule R M) (h : ∀ i, (N i).FG) :
(iSup N).FG := by
cases nonempty_fintype (PLift ι)
simpa [iSup_plift_down] using fg_biSup Finset.univ (N ∘ PLift.down) fun i _ => h i.down
#align submodule.fg_supr Submodule.fg_iSup
variable {P : Type*} [AddCommMonoid P] [Module R P]
variable (f : M →ₗ[R] P)
theorem FG.map {N : Submodule R M} (hs : N.FG) : (N.map f).FG :=
let ⟨t, ht⟩ := fg_def.1 hs
fg_def.2 ⟨f '' t, ht.1.image _, by rw [span_image, ht.2]⟩
#align submodule.fg.map Submodule.FG.map
variable {f}
theorem fg_of_fg_map_injective (f : M →ₗ[R] P) (hf : Function.Injective f) {N : Submodule R M}
(hfn : (N.map f).FG) : N.FG :=
let ⟨t, ht⟩ := hfn
⟨t.preimage f fun x _ y _ h => hf h,
Submodule.map_injective_of_injective hf <| by
rw [map_span, Finset.coe_preimage, Set.image_preimage_eq_inter_range,
Set.inter_eq_self_of_subset_left, ht]
rw [← LinearMap.range_coe, ← span_le, ht, ← map_top]
exact map_mono le_top⟩
#align submodule.fg_of_fg_map_injective Submodule.fg_of_fg_map_injective
theorem fg_of_fg_map {R M P : Type*} [Ring R] [AddCommGroup M] [Module R M] [AddCommGroup P]
[Module R P] (f : M →ₗ[R] P)
(hf : LinearMap.ker f = ⊥) {N : Submodule R M}
(hfn : (N.map f).FG) : N.FG :=
fg_of_fg_map_injective f (LinearMap.ker_eq_bot.1 hf) hfn
#align submodule.fg_of_fg_map Submodule.fg_of_fg_map
theorem fg_top (N : Submodule R M) : (⊤ : Submodule R N).FG ↔ N.FG :=
⟨fun h => N.range_subtype ▸ map_top N.subtype ▸ h.map _, fun h =>
fg_of_fg_map_injective N.subtype Subtype.val_injective <| by rwa [map_top, range_subtype]⟩
#align submodule.fg_top Submodule.fg_top
theorem fg_of_linearEquiv (e : M ≃ₗ[R] P) (h : (⊤ : Submodule R P).FG) : (⊤ : Submodule R M).FG :=
e.symm.range ▸ map_top (e.symm : P →ₗ[R] M) ▸ h.map _
#align submodule.fg_of_linear_equiv Submodule.fg_of_linearEquiv
theorem FG.prod {sb : Submodule R M} {sc : Submodule R P} (hsb : sb.FG) (hsc : sc.FG) :
(sb.prod sc).FG :=
let ⟨tb, htb⟩ := fg_def.1 hsb
let ⟨tc, htc⟩ := fg_def.1 hsc
fg_def.2
⟨LinearMap.inl R M P '' tb ∪ LinearMap.inr R M P '' tc, (htb.1.image _).union (htc.1.image _),
by rw [LinearMap.span_inl_union_inr, htb.2, htc.2]⟩
#align submodule.fg.prod Submodule.FG.prod
theorem fg_pi {ι : Type*} {M : ι → Type*} [Finite ι] [∀ i, AddCommMonoid (M i)]
[∀ i, Module R (M i)] {p : ∀ i, Submodule R (M i)} (hsb : ∀ i, (p i).FG) :
(Submodule.pi Set.univ p).FG := by
classical
simp_rw [fg_def] at hsb ⊢
choose t htf hts using hsb
refine
⟨⋃ i, (LinearMap.single i : _ →ₗ[R] _) '' t i, Set.finite_iUnion fun i => (htf i).image _, ?_⟩
-- Note: #8386 changed `span_image` into `span_image _`
simp_rw [span_iUnion, span_image _, hts, Submodule.iSup_map_single]
#align submodule.fg_pi Submodule.fg_pi
theorem fg_of_fg_map_of_fg_inf_ker {R M P : Type*} [Ring R] [AddCommGroup M] [Module R M]
[AddCommGroup P] [Module R P] (f : M →ₗ[R] P) {s : Submodule R M}
(hs1 : (s.map f).FG)
(hs2 : (s ⊓ LinearMap.ker f).FG) : s.FG := by
haveI := Classical.decEq R
haveI := Classical.decEq M
haveI := Classical.decEq P
cases' hs1 with t1 ht1
cases' hs2 with t2 ht2
have : ∀ y ∈ t1, ∃ x ∈ s, f x = y := by
intro y hy
have : y ∈ s.map f := by
rw [← ht1]
exact subset_span hy
rcases mem_map.1 this with ⟨x, hx1, hx2⟩
exact ⟨x, hx1, hx2⟩
have : ∃ g : P → M, ∀ y ∈ t1, g y ∈ s ∧ f (g y) = y := by
choose g hg1 hg2 using this
exists fun y => if H : y ∈ t1 then g y H else 0
intro y H
constructor
· simp only [dif_pos H]
apply hg1
· simp only [dif_pos H]
apply hg2
cases' this with g hg
clear this
exists t1.image g ∪ t2
rw [Finset.coe_union, span_union, Finset.coe_image]
apply le_antisymm
· refine sup_le (span_le.2 <| image_subset_iff.2 ?_) (span_le.2 ?_)
· intro y hy
exact (hg y hy).1
· intro x hx
have : x ∈ span R t2 := subset_span hx
rw [ht2] at this
exact this.1
intro x hx
have : f x ∈ s.map f := by
rw [mem_map]
exact ⟨x, hx, rfl⟩
rw [← ht1, ← Set.image_id (t1 : Set P), Finsupp.mem_span_image_iff_total] at this
rcases this with ⟨l, hl1, hl2⟩
refine
mem_sup.2
⟨(Finsupp.total M M R id).toFun ((Finsupp.lmapDomain R R g : (P →₀ R) → M →₀ R) l), ?_,
x - Finsupp.total M M R id ((Finsupp.lmapDomain R R g : (P →₀ R) → M →₀ R) l), ?_,
add_sub_cancel _ _⟩
· rw [← Set.image_id (g '' ↑t1), Finsupp.mem_span_image_iff_total]
refine ⟨_, ?_, rfl⟩
haveI : Inhabited P := ⟨0⟩
rw [← Finsupp.lmapDomain_supported _ _ g, mem_map]
refine ⟨l, hl1, ?_⟩
rfl
rw [ht2, mem_inf]
constructor
· apply s.sub_mem hx
rw [Finsupp.total_apply, Finsupp.lmapDomain_apply, Finsupp.sum_mapDomain_index]
· refine s.sum_mem ?_
intro y hy
exact s.smul_mem _ (hg y (hl1 hy)).1
· exact zero_smul _
· exact fun _ _ _ => add_smul _ _ _
· rw [LinearMap.mem_ker, f.map_sub, ← hl2]
rw [Finsupp.total_apply, Finsupp.total_apply, Finsupp.lmapDomain_apply]
rw [Finsupp.sum_mapDomain_index, Finsupp.sum, Finsupp.sum, map_sum]
· rw [sub_eq_zero]
refine Finset.sum_congr rfl fun y hy => ?_
unfold id
rw [f.map_smul, (hg y (hl1 hy)).2]
· exact zero_smul _
· exact fun _ _ _ => add_smul _ _ _
#align submodule.fg_of_fg_map_of_fg_inf_ker Submodule.fg_of_fg_map_of_fg_inf_ker
theorem fg_induction (R M : Type*) [Semiring R] [AddCommMonoid M] [Module R M]
(P : Submodule R M → Prop) (h₁ : ∀ x, P (Submodule.span R {x}))
(h₂ : ∀ M₁ M₂, P M₁ → P M₂ → P (M₁ ⊔ M₂)) (N : Submodule R M) (hN : N.FG) : P N := by
classical
obtain ⟨s, rfl⟩ := hN
induction s using Finset.induction
· rw [Finset.coe_empty, Submodule.span_empty, ← Submodule.span_zero_singleton]
apply h₁
· rw [Finset.coe_insert, Submodule.span_insert]
apply h₂ <;> apply_assumption
#align submodule.fg_induction Submodule.fg_induction
| Mathlib/RingTheory/Finiteness.lean | 349 | 357 | theorem fg_ker_comp {R M N P : Type*} [Ring R] [AddCommGroup M] [Module R M] [AddCommGroup N]
[Module R N] [AddCommGroup P] [Module R P] (f : M →ₗ[R] N) (g : N →ₗ[R] P)
(hf1 : (LinearMap.ker f).FG) (hf2 : (LinearMap.ker g).FG)
(hsur : Function.Surjective f) : (g.comp f).ker.FG := by |
rw [LinearMap.ker_comp]
apply fg_of_fg_map_of_fg_inf_ker f
· rwa [Submodule.map_comap_eq, LinearMap.range_eq_top.2 hsur, top_inf_eq]
· rwa [inf_of_le_right (show (LinearMap.ker f) ≤
(LinearMap.ker g).comap f from comap_mono bot_le)]
|
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