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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]
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
399
401
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]
import Mathlib.Topology.UniformSpace.AbstractCompletion #align_import topology.uniform_space.completion from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" noncomputable section open Filter Set universe u v w x open scoped Classical open Uniformity Topology Filter def CauchyFilter (α : Type u) [UniformSpace α] : Type u := { f : Filter α // Cauchy f } set_option linter.uppercaseLean3 false in #align Cauchy CauchyFilter namespace CauchyFilter section variable {α : Type u} [UniformSpace α] variable {β : Type v} {γ : Type w} variable [UniformSpace β] [UniformSpace γ] instance (f : CauchyFilter α) : NeBot f.1 := f.2.1 def gen (s : Set (α × α)) : Set (CauchyFilter α × CauchyFilter α) := { p | s ∈ p.1.val ×ˢ p.2.val } set_option linter.uppercaseLean3 false in #align Cauchy.gen CauchyFilter.gen theorem monotone_gen : Monotone (gen : Set (α × α) → _) := monotone_setOf fun p => @Filter.monotone_mem _ (p.1.val ×ˢ p.2.val) set_option linter.uppercaseLean3 false in #align Cauchy.monotone_gen CauchyFilter.monotone_gen -- Porting note: this was a calc proof, but I could not make it work private theorem symm_gen : map Prod.swap ((𝓤 α).lift' gen) ≤ (𝓤 α).lift' gen := by let f := fun s : Set (α × α) => { p : CauchyFilter α × CauchyFilter α | s ∈ (p.2.val ×ˢ p.1.val : Filter (α × α)) } have h₁ : map Prod.swap ((𝓤 α).lift' gen) = (𝓤 α).lift' f := by delta gen simp [map_lift'_eq, monotone_setOf, Filter.monotone_mem, Function.comp, image_swap_eq_preimage_swap] have h₂ : (𝓤 α).lift' f ≤ (𝓤 α).lift' gen := uniformity_lift_le_swap (monotone_principal.comp (monotone_setOf fun p => @Filter.monotone_mem _ (p.2.val ×ˢ p.1.val))) (by have h := fun p : CauchyFilter α × CauchyFilter α => @Filter.prod_comm _ _ p.2.val p.1.val simp [f, Function.comp, h, mem_map'] exact le_rfl) exact h₁.trans_le h₂ private theorem compRel_gen_gen_subset_gen_compRel {s t : Set (α × α)} : compRel (gen s) (gen t) ⊆ (gen (compRel s t) : Set (CauchyFilter α × CauchyFilter α)) := fun ⟨f, g⟩ ⟨h, h₁, h₂⟩ => let ⟨t₁, (ht₁ : t₁ ∈ f.val), t₂, (ht₂ : t₂ ∈ h.val), (h₁ : t₁ ×ˢ t₂ ⊆ s)⟩ := mem_prod_iff.mp h₁ let ⟨t₃, (ht₃ : t₃ ∈ h.val), t₄, (ht₄ : t₄ ∈ g.val), (h₂ : t₃ ×ˢ t₄ ⊆ t)⟩ := mem_prod_iff.mp h₂ have : t₂ ∩ t₃ ∈ h.val := inter_mem ht₂ ht₃ let ⟨x, xt₂, xt₃⟩ := h.property.left.nonempty_of_mem this (f.val ×ˢ g.val).sets_of_superset (prod_mem_prod ht₁ ht₄) fun ⟨a, b⟩ ⟨(ha : a ∈ t₁), (hb : b ∈ t₄)⟩ => ⟨x, h₁ (show (a, x) ∈ t₁ ×ˢ t₂ from ⟨ha, xt₂⟩), h₂ (show (x, b) ∈ t₃ ×ˢ t₄ from ⟨xt₃, hb⟩)⟩ private theorem comp_gen : (((𝓤 α).lift' gen).lift' fun s => compRel s s) ≤ (𝓤 α).lift' gen := calc (((𝓤 α).lift' gen).lift' fun s => compRel s s) = (𝓤 α).lift' fun s => compRel (gen s) (gen s) := by rw [lift'_lift'_assoc] · exact monotone_gen · exact monotone_id.compRel monotone_id _ ≤ (𝓤 α).lift' fun s => gen <| compRel s s := lift'_mono' fun s _hs => compRel_gen_gen_subset_gen_compRel _ = ((𝓤 α).lift' fun s : Set (α × α) => compRel s s).lift' gen := by rw [lift'_lift'_assoc] · exact monotone_id.compRel monotone_id · exact monotone_gen _ ≤ (𝓤 α).lift' gen := lift'_mono comp_le_uniformity le_rfl instance : UniformSpace (CauchyFilter α) := UniformSpace.ofCore { uniformity := (𝓤 α).lift' gen refl := principal_le_lift'.2 fun _s hs ⟨a, b⟩ => fun (a_eq_b : a = b) => a_eq_b ▸ a.property.right hs symm := symm_gen comp := comp_gen } theorem mem_uniformity {s : Set (CauchyFilter α × CauchyFilter α)} : s ∈ 𝓤 (CauchyFilter α) ↔ ∃ t ∈ 𝓤 α, gen t ⊆ s := mem_lift'_sets monotone_gen set_option linter.uppercaseLean3 false in #align Cauchy.mem_uniformity CauchyFilter.mem_uniformity theorem basis_uniformity {ι : Sort*} {p : ι → Prop} {s : ι → Set (α × α)} (h : (𝓤 α).HasBasis p s) : (𝓤 (CauchyFilter α)).HasBasis p (gen ∘ s) := h.lift' monotone_gen theorem mem_uniformity' {s : Set (CauchyFilter α × CauchyFilter α)} : s ∈ 𝓤 (CauchyFilter α) ↔ ∃ t ∈ 𝓤 α, ∀ f g : CauchyFilter α, t ∈ f.1 ×ˢ g.1 → (f, g) ∈ s := by refine mem_uniformity.trans (exists_congr (fun t => and_congr_right_iff.mpr (fun _h => ?_))) exact ⟨fun h _f _g ht => h ht, fun h _p hp => h _ _ hp⟩ set_option linter.uppercaseLean3 false in #align Cauchy.mem_uniformity' CauchyFilter.mem_uniformity' def pureCauchy (a : α) : CauchyFilter α := ⟨pure a, cauchy_pure⟩ set_option linter.uppercaseLean3 false in #align Cauchy.pure_cauchy CauchyFilter.pureCauchy
Mathlib/Topology/UniformSpace/Completion.lean
162
171
theorem uniformInducing_pureCauchy : UniformInducing (pureCauchy : α → CauchyFilter α) := ⟨have : (preimage fun x : α × α => (pureCauchy x.fst, pureCauchy x.snd)) ∘ gen = id := funext fun s => Set.ext fun ⟨a₁, a₂⟩ => by simp [preimage, gen, pureCauchy, prod_principal_principal] calc comap (fun x : α × α => (pureCauchy x.fst, pureCauchy x.snd)) ((𝓤 α).lift' gen) = (𝓤 α).lift' ((preimage fun x : α × α => (pureCauchy x.fst, pureCauchy x.snd)) ∘ gen) := comap_lift'_eq _ = 𝓤 α := by
simp [this] ⟩
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 theorem commute_int_add (n : ℤ) : Function.Commute f (n + ·) := by simpa only [add_comm _ (n : ℝ)] using f.commute_add_int n #align circle_deg1_lift.commute_int_add CircleDeg1Lift.commute_int_add theorem commute_sub_int (n : ℤ) : Function.Commute f (· - n) := by simpa only [sub_eq_add_neg] using (f.commute_add_int n).inverses_right (Equiv.addRight _).right_inv (Equiv.addRight _).left_inv #align circle_deg1_lift.commute_sub_int CircleDeg1Lift.commute_sub_int @[simp] theorem map_int_add (m : ℤ) (x : ℝ) : f (m + x) = m + f x := f.commute_int_add m x #align circle_deg1_lift.map_int_add CircleDeg1Lift.map_int_add @[simp] theorem map_add_int (x : ℝ) (m : ℤ) : f (x + m) = f x + m := f.commute_add_int m x #align circle_deg1_lift.map_add_int CircleDeg1Lift.map_add_int @[simp] theorem map_sub_int (x : ℝ) (n : ℤ) : f (x - n) = f x - n := f.commute_sub_int n x #align circle_deg1_lift.map_sub_int CircleDeg1Lift.map_sub_int @[simp] theorem map_add_nat (x : ℝ) (n : ℕ) : f (x + n) = f x + n := f.map_add_int x n #align circle_deg1_lift.map_add_nat CircleDeg1Lift.map_add_nat @[simp] theorem map_nat_add (n : ℕ) (x : ℝ) : f (n + x) = n + f x := f.map_int_add n x #align circle_deg1_lift.map_nat_add CircleDeg1Lift.map_nat_add @[simp] theorem map_sub_nat (x : ℝ) (n : ℕ) : f (x - n) = f x - n := f.map_sub_int x n #align circle_deg1_lift.map_sub_nat CircleDeg1Lift.map_sub_nat theorem map_int_of_map_zero (n : ℤ) : f n = f 0 + n := by rw [← f.map_add_int, zero_add] #align circle_deg1_lift.map_int_of_map_zero CircleDeg1Lift.map_int_of_map_zero @[simp] theorem map_fract_sub_fract_eq (x : ℝ) : f (fract x) - fract x = f x - x := by rw [Int.fract, f.map_sub_int, sub_sub_sub_cancel_right] #align circle_deg1_lift.map_fract_sub_fract_eq CircleDeg1Lift.map_fract_sub_fract_eq noncomputable instance : Lattice CircleDeg1Lift where sup f g := { toFun := fun x => max (f x) (g x) monotone' := fun x y h => max_le_max (f.mono h) (g.mono h) -- TODO: generalize to `Monotone.max` map_add_one' := fun x => by simp [max_add_add_right] } le f g := ∀ x, f x ≤ g x le_refl f x := le_refl (f x) le_trans f₁ f₂ f₃ h₁₂ h₂₃ x := le_trans (h₁₂ x) (h₂₃ x) le_antisymm f₁ f₂ h₁₂ h₂₁ := ext fun x => le_antisymm (h₁₂ x) (h₂₁ x) le_sup_left f g x := le_max_left (f x) (g x) le_sup_right f g x := le_max_right (f x) (g x) sup_le f₁ f₂ f₃ h₁ h₂ x := max_le (h₁ x) (h₂ x) inf f g := { toFun := fun x => min (f x) (g x) monotone' := fun x y h => min_le_min (f.mono h) (g.mono h) map_add_one' := fun x => by simp [min_add_add_right] } inf_le_left f g x := min_le_left (f x) (g x) inf_le_right f g x := min_le_right (f x) (g x) le_inf f₁ f₂ f₃ h₂ h₃ x := le_min (h₂ x) (h₃ x) @[simp] theorem sup_apply (x : ℝ) : (f ⊔ g) x = max (f x) (g x) := rfl #align circle_deg1_lift.sup_apply CircleDeg1Lift.sup_apply @[simp] theorem inf_apply (x : ℝ) : (f ⊓ g) x = min (f x) (g x) := rfl #align circle_deg1_lift.inf_apply CircleDeg1Lift.inf_apply theorem iterate_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f^[n] := fun f _ h => f.monotone.iterate_le_of_le h _ #align circle_deg1_lift.iterate_monotone CircleDeg1Lift.iterate_monotone theorem iterate_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f^[n] ≤ g^[n] := iterate_monotone n h #align circle_deg1_lift.iterate_mono CircleDeg1Lift.iterate_mono theorem pow_mono {f g : CircleDeg1Lift} (h : f ≤ g) (n : ℕ) : f ^ n ≤ g ^ n := fun x => by simp only [coe_pow, iterate_mono h n x] #align circle_deg1_lift.pow_mono CircleDeg1Lift.pow_mono theorem pow_monotone (n : ℕ) : Monotone fun f : CircleDeg1Lift => f ^ n := fun _ _ h => pow_mono h n #align circle_deg1_lift.pow_monotone CircleDeg1Lift.pow_monotone theorem map_le_of_map_zero (x : ℝ) : f x ≤ f 0 + ⌈x⌉ := calc f x ≤ f ⌈x⌉ := f.monotone <| le_ceil _ _ = f 0 + ⌈x⌉ := f.map_int_of_map_zero _ #align circle_deg1_lift.map_le_of_map_zero CircleDeg1Lift.map_le_of_map_zero theorem map_map_zero_le : f (g 0) ≤ f 0 + ⌈g 0⌉ := f.map_le_of_map_zero (g 0) #align circle_deg1_lift.map_map_zero_le CircleDeg1Lift.map_map_zero_le theorem floor_map_map_zero_le : ⌊f (g 0)⌋ ≤ ⌊f 0⌋ + ⌈g 0⌉ := calc ⌊f (g 0)⌋ ≤ ⌊f 0 + ⌈g 0⌉⌋ := floor_mono <| f.map_map_zero_le g _ = ⌊f 0⌋ + ⌈g 0⌉ := floor_add_int _ _ #align circle_deg1_lift.floor_map_map_zero_le CircleDeg1Lift.floor_map_map_zero_le theorem ceil_map_map_zero_le : ⌈f (g 0)⌉ ≤ ⌈f 0⌉ + ⌈g 0⌉ := calc ⌈f (g 0)⌉ ≤ ⌈f 0 + ⌈g 0⌉⌉ := ceil_mono <| f.map_map_zero_le g _ = ⌈f 0⌉ + ⌈g 0⌉ := ceil_add_int _ _ #align circle_deg1_lift.ceil_map_map_zero_le CircleDeg1Lift.ceil_map_map_zero_le theorem map_map_zero_lt : f (g 0) < f 0 + g 0 + 1 := calc f (g 0) ≤ f 0 + ⌈g 0⌉ := f.map_map_zero_le g _ < f 0 + (g 0 + 1) := add_lt_add_left (ceil_lt_add_one _) _ _ = f 0 + g 0 + 1 := (add_assoc _ _ _).symm #align circle_deg1_lift.map_map_zero_lt CircleDeg1Lift.map_map_zero_lt theorem le_map_of_map_zero (x : ℝ) : f 0 + ⌊x⌋ ≤ f x := calc f 0 + ⌊x⌋ = f ⌊x⌋ := (f.map_int_of_map_zero _).symm _ ≤ f x := f.monotone <| floor_le _ #align circle_deg1_lift.le_map_of_map_zero CircleDeg1Lift.le_map_of_map_zero theorem le_map_map_zero : f 0 + ⌊g 0⌋ ≤ f (g 0) := f.le_map_of_map_zero (g 0) #align circle_deg1_lift.le_map_map_zero CircleDeg1Lift.le_map_map_zero theorem le_floor_map_map_zero : ⌊f 0⌋ + ⌊g 0⌋ ≤ ⌊f (g 0)⌋ := calc ⌊f 0⌋ + ⌊g 0⌋ = ⌊f 0 + ⌊g 0⌋⌋ := (floor_add_int _ _).symm _ ≤ ⌊f (g 0)⌋ := floor_mono <| f.le_map_map_zero g #align circle_deg1_lift.le_floor_map_map_zero CircleDeg1Lift.le_floor_map_map_zero theorem le_ceil_map_map_zero : ⌈f 0⌉ + ⌊g 0⌋ ≤ ⌈(f * g) 0⌉ := calc ⌈f 0⌉ + ⌊g 0⌋ = ⌈f 0 + ⌊g 0⌋⌉ := (ceil_add_int _ _).symm _ ≤ ⌈f (g 0)⌉ := ceil_mono <| f.le_map_map_zero g #align circle_deg1_lift.le_ceil_map_map_zero CircleDeg1Lift.le_ceil_map_map_zero theorem lt_map_map_zero : f 0 + g 0 - 1 < f (g 0) := calc f 0 + g 0 - 1 = f 0 + (g 0 - 1) := add_sub_assoc _ _ _ _ < f 0 + ⌊g 0⌋ := add_lt_add_left (sub_one_lt_floor _) _ _ ≤ f (g 0) := f.le_map_map_zero g #align circle_deg1_lift.lt_map_map_zero CircleDeg1Lift.lt_map_map_zero theorem dist_map_map_zero_lt : dist (f 0 + g 0) (f (g 0)) < 1 := by rw [dist_comm, Real.dist_eq, abs_lt, lt_sub_iff_add_lt', sub_lt_iff_lt_add', ← sub_eq_add_neg] exact ⟨f.lt_map_map_zero g, f.map_map_zero_lt g⟩ #align circle_deg1_lift.dist_map_map_zero_lt CircleDeg1Lift.dist_map_map_zero_lt theorem dist_map_zero_lt_of_semiconj {f g₁ g₂ : CircleDeg1Lift} (h : Function.Semiconj f g₁ g₂) : dist (g₁ 0) (g₂ 0) < 2 := calc dist (g₁ 0) (g₂ 0) ≤ dist (g₁ 0) (f (g₁ 0) - f 0) + dist _ (g₂ 0) := dist_triangle _ _ _ _ = dist (f 0 + g₁ 0) (f (g₁ 0)) + dist (g₂ 0 + f 0) (g₂ (f 0)) := by simp only [h.eq, Real.dist_eq, sub_sub, add_comm (f 0), sub_sub_eq_add_sub, abs_sub_comm (g₂ (f 0))] _ < 1 + 1 := add_lt_add (f.dist_map_map_zero_lt g₁) (g₂.dist_map_map_zero_lt f) _ = 2 := one_add_one_eq_two #align circle_deg1_lift.dist_map_zero_lt_of_semiconj CircleDeg1Lift.dist_map_zero_lt_of_semiconj theorem dist_map_zero_lt_of_semiconjBy {f g₁ g₂ : CircleDeg1Lift} (h : SemiconjBy f g₁ g₂) : dist (g₁ 0) (g₂ 0) < 2 := dist_map_zero_lt_of_semiconj <| semiconjBy_iff_semiconj.1 h #align circle_deg1_lift.dist_map_zero_lt_of_semiconj_by CircleDeg1Lift.dist_map_zero_lt_of_semiconjBy protected theorem tendsto_atBot : Tendsto f atBot atBot := tendsto_atBot_mono f.map_le_of_map_zero <| tendsto_atBot_add_const_left _ _ <| (tendsto_atBot_mono fun x => (ceil_lt_add_one x).le) <| tendsto_atBot_add_const_right _ _ tendsto_id #align circle_deg1_lift.tendsto_at_bot CircleDeg1Lift.tendsto_atBot protected theorem tendsto_atTop : Tendsto f atTop atTop := tendsto_atTop_mono f.le_map_of_map_zero <| tendsto_atTop_add_const_left _ _ <| (tendsto_atTop_mono fun x => (sub_one_lt_floor x).le) <| by simpa [sub_eq_add_neg] using tendsto_atTop_add_const_right _ _ tendsto_id #align circle_deg1_lift.tendsto_at_top CircleDeg1Lift.tendsto_atTop theorem continuous_iff_surjective : Continuous f ↔ Function.Surjective f := ⟨fun h => h.surjective f.tendsto_atTop f.tendsto_atBot, f.monotone.continuous_of_surjective⟩ #align circle_deg1_lift.continuous_iff_surjective CircleDeg1Lift.continuous_iff_surjective theorem iterate_le_of_map_le_add_int {x : ℝ} {m : ℤ} (h : f x ≤ x + m) (n : ℕ) : f^[n] x ≤ x + n * m := by simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_le_of_map_le f.monotone (monotone_id.add_const (m : ℝ)) h n #align circle_deg1_lift.iterate_le_of_map_le_add_int CircleDeg1Lift.iterate_le_of_map_le_add_int theorem le_iterate_of_add_int_le_map {x : ℝ} {m : ℤ} (h : x + m ≤ f x) (n : ℕ) : x + n * m ≤ f^[n] x := by simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).symm.iterate_le_of_map_le (monotone_id.add_const (m : ℝ)) f.monotone h n #align circle_deg1_lift.le_iterate_of_add_int_le_map CircleDeg1Lift.le_iterate_of_add_int_le_map theorem iterate_eq_of_map_eq_add_int {x : ℝ} {m : ℤ} (h : f x = x + m) (n : ℕ) : f^[n] x = x + n * m := by simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_eq_of_map_eq n h #align circle_deg1_lift.iterate_eq_of_map_eq_add_int CircleDeg1Lift.iterate_eq_of_map_eq_add_int theorem iterate_pos_le_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) : f^[n] x ≤ x + n * m ↔ f x ≤ x + m := by simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_pos_le_iff_map_le f.monotone (strictMono_id.add_const (m : ℝ)) hn #align circle_deg1_lift.iterate_pos_le_iff CircleDeg1Lift.iterate_pos_le_iff theorem iterate_pos_lt_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) : f^[n] x < x + n * m ↔ f x < x + m := by simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_pos_lt_iff_map_lt f.monotone (strictMono_id.add_const (m : ℝ)) hn #align circle_deg1_lift.iterate_pos_lt_iff CircleDeg1Lift.iterate_pos_lt_iff theorem iterate_pos_eq_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) : f^[n] x = x + n * m ↔ f x = x + m := by simpa only [nsmul_eq_mul, add_right_iterate] using (f.commute_add_int m).iterate_pos_eq_iff_map_eq f.monotone (strictMono_id.add_const (m : ℝ)) hn #align circle_deg1_lift.iterate_pos_eq_iff CircleDeg1Lift.iterate_pos_eq_iff theorem le_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) : x + n * m ≤ f^[n] x ↔ x + m ≤ f x := by simpa only [not_lt] using not_congr (f.iterate_pos_lt_iff hn) #align circle_deg1_lift.le_iterate_pos_iff CircleDeg1Lift.le_iterate_pos_iff theorem lt_iterate_pos_iff {x : ℝ} {m : ℤ} {n : ℕ} (hn : 0 < n) : x + n * m < f^[n] x ↔ x + m < f x := by simpa only [not_le] using not_congr (f.iterate_pos_le_iff hn) #align circle_deg1_lift.lt_iterate_pos_iff CircleDeg1Lift.lt_iterate_pos_iff
Mathlib/Dynamics/Circle/RotationNumber/TranslationNumber.lean
616
619
theorem mul_floor_map_zero_le_floor_iterate_zero (n : ℕ) : ↑n * ⌊f 0⌋ ≤ ⌊f^[n] 0⌋ := by
rw [le_floor, Int.cast_mul, Int.cast_natCast, ← zero_add ((n : ℝ) * _)] apply le_iterate_of_add_int_le_map simp [floor_le]
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Algebra.Polynomial.Induction #align_import data.polynomial.eval from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f" set_option linter.uppercaseLean3 false noncomputable section open Finset AddMonoidAlgebra open Polynomial namespace Polynomial universe u v w y variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {a b : R} {m n : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} section variable [Semiring S] variable (f : R →+* S) (x : S) irreducible_def eval₂ (p : R[X]) : S := p.sum fun e a => f a * x ^ e #align polynomial.eval₂ Polynomial.eval₂ theorem eval₂_eq_sum {f : R →+* S} {x : S} : p.eval₂ f x = p.sum fun e a => f a * x ^ e := by rw [eval₂_def] #align polynomial.eval₂_eq_sum Polynomial.eval₂_eq_sum theorem eval₂_congr {R S : Type*} [Semiring R] [Semiring S] {f g : R →+* S} {s t : S} {φ ψ : R[X]} : f = g → s = t → φ = ψ → eval₂ f s φ = eval₂ g t ψ := by rintro rfl rfl rfl; rfl #align polynomial.eval₂_congr Polynomial.eval₂_congr @[simp] theorem eval₂_at_zero : p.eval₂ f 0 = f (coeff p 0) := by simp (config := { contextual := true }) only [eval₂_eq_sum, zero_pow_eq, mul_ite, mul_zero, mul_one, sum, Classical.not_not, mem_support_iff, sum_ite_eq', ite_eq_left_iff, RingHom.map_zero, imp_true_iff, eq_self_iff_true] #align polynomial.eval₂_at_zero Polynomial.eval₂_at_zero @[simp] theorem eval₂_zero : (0 : R[X]).eval₂ f x = 0 := by simp [eval₂_eq_sum] #align polynomial.eval₂_zero Polynomial.eval₂_zero @[simp] theorem eval₂_C : (C a).eval₂ f x = f a := by simp [eval₂_eq_sum] #align polynomial.eval₂_C Polynomial.eval₂_C @[simp] theorem eval₂_X : X.eval₂ f x = x := by simp [eval₂_eq_sum] #align polynomial.eval₂_X Polynomial.eval₂_X @[simp] theorem eval₂_monomial {n : ℕ} {r : R} : (monomial n r).eval₂ f x = f r * x ^ n := by simp [eval₂_eq_sum] #align polynomial.eval₂_monomial Polynomial.eval₂_monomial @[simp] theorem eval₂_X_pow {n : ℕ} : (X ^ n).eval₂ f x = x ^ n := by rw [X_pow_eq_monomial] convert eval₂_monomial f x (n := n) (r := 1) simp #align polynomial.eval₂_X_pow Polynomial.eval₂_X_pow @[simp] theorem eval₂_add : (p + q).eval₂ f x = p.eval₂ f x + q.eval₂ f x := by simp only [eval₂_eq_sum] apply sum_add_index <;> simp [add_mul] #align polynomial.eval₂_add Polynomial.eval₂_add @[simp]
Mathlib/Algebra/Polynomial/Eval.lean
95
95
theorem eval₂_one : (1 : R[X]).eval₂ f x = 1 := by
rw [← C_1, eval₂_C, f.map_one]
import Mathlib.Analysis.Calculus.Deriv.Inv import Mathlib.Analysis.Calculus.Deriv.Polynomial import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.SpecialFunctions.PolynomialExp #align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical Topology open Polynomial Real Filter Set Function open scoped Polynomial def expNegInvGlue (x : ℝ) : ℝ := if x ≤ 0 then 0 else exp (-x⁻¹) #align exp_neg_inv_glue expNegInvGlue namespace expNegInvGlue theorem zero_of_nonpos {x : ℝ} (hx : x ≤ 0) : expNegInvGlue x = 0 := by simp [expNegInvGlue, hx] #align exp_neg_inv_glue.zero_of_nonpos expNegInvGlue.zero_of_nonpos @[simp] -- Porting note (#10756): new lemma protected theorem zero : expNegInvGlue 0 = 0 := zero_of_nonpos le_rfl theorem pos_of_pos {x : ℝ} (hx : 0 < x) : 0 < expNegInvGlue x := by simp [expNegInvGlue, not_le.2 hx, exp_pos] #align exp_neg_inv_glue.pos_of_pos expNegInvGlue.pos_of_pos theorem nonneg (x : ℝ) : 0 ≤ expNegInvGlue x := by cases le_or_gt x 0 with | inl h => exact ge_of_eq (zero_of_nonpos h) | inr h => exact le_of_lt (pos_of_pos h) #align exp_neg_inv_glue.nonneg expNegInvGlue.nonneg -- Porting note (#10756): new lemma @[simp] theorem zero_iff_nonpos {x : ℝ} : expNegInvGlue x = 0 ↔ x ≤ 0 := ⟨fun h ↦ not_lt.mp fun h' ↦ (pos_of_pos h').ne' h, zero_of_nonpos⟩ #noalign exp_neg_inv_glue.P_aux #noalign exp_neg_inv_glue.f_aux #noalign exp_neg_inv_glue.f_aux_zero_eq #noalign exp_neg_inv_glue.f_aux_deriv #noalign exp_neg_inv_glue.f_aux_deriv_pos #noalign exp_neg_inv_glue.f_aux_limit #noalign exp_neg_inv_glue.f_aux_deriv_zero #noalign exp_neg_inv_glue.f_aux_has_deriv_at theorem tendsto_polynomial_inv_mul_zero (p : ℝ[X]) : Tendsto (fun x ↦ p.eval x⁻¹ * expNegInvGlue x) (𝓝 0) (𝓝 0) := by simp only [expNegInvGlue, mul_ite, mul_zero] refine tendsto_const_nhds.if ?_ simp only [not_le] have : Tendsto (fun x ↦ p.eval x⁻¹ / exp x⁻¹) (𝓝[>] 0) (𝓝 0) := p.tendsto_div_exp_atTop.comp tendsto_inv_zero_atTop refine this.congr' <| mem_of_superset self_mem_nhdsWithin fun x hx ↦ ?_ simp [expNegInvGlue, hx.out.not_le, exp_neg, div_eq_mul_inv]
Mathlib/Analysis/SpecialFunctions/SmoothTransition.lean
101
117
theorem hasDerivAt_polynomial_eval_inv_mul (p : ℝ[X]) (x : ℝ) : HasDerivAt (fun x ↦ p.eval x⁻¹ * expNegInvGlue x) ((X ^ 2 * (p - derivative (R := ℝ) p)).eval x⁻¹ * expNegInvGlue x) x := by
rcases lt_trichotomy x 0 with hx | rfl | hx · rw [zero_of_nonpos hx.le, mul_zero] refine (hasDerivAt_const _ 0).congr_of_eventuallyEq ?_ filter_upwards [gt_mem_nhds hx] with y hy rw [zero_of_nonpos hy.le, mul_zero] · rw [expNegInvGlue.zero, mul_zero, hasDerivAt_iff_tendsto_slope] refine ((tendsto_polynomial_inv_mul_zero (p * X)).mono_left inf_le_left).congr fun x ↦ ?_ simp [slope_def_field, div_eq_mul_inv, mul_right_comm] · have := ((p.hasDerivAt x⁻¹).mul (hasDerivAt_neg _).exp).comp x (hasDerivAt_inv hx.ne') convert this.congr_of_eventuallyEq _ using 1 · simp [expNegInvGlue, hx.not_le] ring · filter_upwards [lt_mem_nhds hx] with y hy simp [expNegInvGlue, hy.not_le]
import Mathlib.Data.Matrix.Basic import Mathlib.Data.Matrix.RowCol import Mathlib.Data.Fin.VecNotation import Mathlib.Tactic.FinCases #align_import data.matrix.notation from "leanprover-community/mathlib"@"a99f85220eaf38f14f94e04699943e185a5e1d1a" namespace Matrix universe u uₘ uₙ uₒ variable {α : Type u} {o n m : ℕ} {m' : Type uₘ} {n' : Type uₙ} {o' : Type uₒ} open Matrix variable (a b : ℕ) instance repr [Repr α] : Repr (Matrix (Fin m) (Fin n) α) where reprPrec f _p := (Std.Format.bracket "!![" · "]") <| (Std.Format.joinSep · (";" ++ Std.Format.line)) <| (List.finRange m).map fun i => Std.Format.fill <| -- wrap line in a single place rather than all at once (Std.Format.joinSep · ("," ++ Std.Format.line)) <| (List.finRange n).map fun j => _root_.repr (f i j) #align matrix.has_repr Matrix.repr @[simp] theorem cons_val' (v : n' → α) (B : Fin m → n' → α) (i j) : vecCons v B i j = vecCons (v j) (fun i => B i j) i := by refine Fin.cases ?_ ?_ i <;> simp #align matrix.cons_val' Matrix.cons_val' @[simp, nolint simpNF] -- Porting note: LHS does not simplify. theorem head_val' (B : Fin m.succ → n' → α) (j : n') : (vecHead fun i => B i j) = vecHead B j := rfl #align matrix.head_val' Matrix.head_val' @[simp, nolint simpNF] -- Porting note: LHS does not simplify. theorem tail_val' (B : Fin m.succ → n' → α) (j : n') : (vecTail fun i => B i j) = fun i => vecTail B i j := rfl #align matrix.tail_val' Matrix.tail_val' section Submatrix @[simp] theorem submatrix_empty (A : Matrix m' n' α) (row : Fin 0 → m') (col : o' → n') : submatrix A row col = ![] := empty_eq _ #align matrix.submatrix_empty Matrix.submatrix_empty @[simp]
Mathlib/Data/Matrix/Notation.lean
393
396
theorem submatrix_cons_row (A : Matrix m' n' α) (i : m') (row : Fin m → m') (col : o' → n') : submatrix A (vecCons i row) col = vecCons (fun j => A i (col j)) (submatrix A row col) := by
ext i j refine Fin.cases ?_ ?_ i <;> simp [submatrix]
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Analysis.SpecialFunctions.Complex.LogDeriv import Mathlib.Analysis.Calculus.FDeriv.Extend import Mathlib.Analysis.Calculus.Deriv.Prod import Mathlib.Analysis.SpecialFunctions.Log.Deriv import Mathlib.Analysis.SpecialFunctions.Trigonometric.Deriv #align_import analysis.special_functions.pow.deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical Real Topology NNReal ENNReal Filter open Filter namespace Complex theorem hasStrictFDerivAt_cpow {p : ℂ × ℂ} (hp : p.1 ∈ slitPlane) : HasStrictFDerivAt (fun x : ℂ × ℂ => x.1 ^ x.2) ((p.2 * p.1 ^ (p.2 - 1)) • ContinuousLinearMap.fst ℂ ℂ ℂ + (p.1 ^ p.2 * log p.1) • ContinuousLinearMap.snd ℂ ℂ ℂ) p := by have A : p.1 ≠ 0 := slitPlane_ne_zero hp have : (fun x : ℂ × ℂ => x.1 ^ x.2) =ᶠ[𝓝 p] fun x => exp (log x.1 * x.2) := ((isOpen_ne.preimage continuous_fst).eventually_mem A).mono fun p hp => cpow_def_of_ne_zero hp _ rw [cpow_sub _ _ A, cpow_one, mul_div_left_comm, mul_smul, mul_smul] refine HasStrictFDerivAt.congr_of_eventuallyEq ?_ this.symm simpa only [cpow_def_of_ne_zero A, div_eq_mul_inv, mul_smul, add_comm, smul_add] using ((hasStrictFDerivAt_fst.clog hp).mul hasStrictFDerivAt_snd).cexp #align complex.has_strict_fderiv_at_cpow Complex.hasStrictFDerivAt_cpow theorem hasStrictFDerivAt_cpow' {x y : ℂ} (hp : x ∈ slitPlane) : HasStrictFDerivAt (fun x : ℂ × ℂ => x.1 ^ x.2) ((y * x ^ (y - 1)) • ContinuousLinearMap.fst ℂ ℂ ℂ + (x ^ y * log x) • ContinuousLinearMap.snd ℂ ℂ ℂ) (x, y) := @hasStrictFDerivAt_cpow (x, y) hp #align complex.has_strict_fderiv_at_cpow' Complex.hasStrictFDerivAt_cpow'
Mathlib/Analysis/SpecialFunctions/Pow/Deriv.lean
52
60
theorem hasStrictDerivAt_const_cpow {x y : ℂ} (h : x ≠ 0 ∨ y ≠ 0) : HasStrictDerivAt (fun y => x ^ y) (x ^ y * log x) y := by
rcases em (x = 0) with (rfl | hx) · replace h := h.neg_resolve_left rfl rw [log_zero, mul_zero] refine (hasStrictDerivAt_const _ 0).congr_of_eventuallyEq ?_ exact (isOpen_ne.eventually_mem h).mono fun y hy => (zero_cpow hy).symm · simpa only [cpow_def_of_ne_zero hx, mul_one] using ((hasStrictDerivAt_id y).const_mul (log x)).cexp
import Mathlib.Algebra.GradedMonoid import Mathlib.Algebra.Order.Monoid.Canonical.Defs import Mathlib.Algebra.MvPolynomial.Basic #align_import ring_theory.mv_polynomial.weighted_homogeneous from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section open Set Function Finset Finsupp AddMonoidAlgebra variable {R M : Type*} [CommSemiring R] namespace MvPolynomial variable {σ : Type*} section AddCommMonoid variable [AddCommMonoid M] def weightedDegree (w : σ → M) : (σ →₀ ℕ) →+ M := (Finsupp.total σ M ℕ w).toAddMonoidHom #align mv_polynomial.weighted_degree' MvPolynomial.weightedDegree theorem weightedDegree_apply (w : σ → M) (f : σ →₀ ℕ): weightedDegree w f = Finsupp.sum f (fun i c => c • w i) := by rfl section SemilatticeSup variable [SemilatticeSup M] def weightedTotalDegree' (w : σ → M) (p : MvPolynomial σ R) : WithBot M := p.support.sup fun s => weightedDegree w s #align mv_polynomial.weighted_total_degree' MvPolynomial.weightedTotalDegree' theorem weightedTotalDegree'_eq_bot_iff (w : σ → M) (p : MvPolynomial σ R) : weightedTotalDegree' w p = ⊥ ↔ p = 0 := by simp only [weightedTotalDegree', Finset.sup_eq_bot_iff, mem_support_iff, WithBot.coe_ne_bot, MvPolynomial.eq_zero_iff] exact forall_congr' fun _ => Classical.not_not #align mv_polynomial.weighted_total_degree'_eq_bot_iff MvPolynomial.weightedTotalDegree'_eq_bot_iff theorem weightedTotalDegree'_zero (w : σ → M) : weightedTotalDegree' w (0 : MvPolynomial σ R) = ⊥ := by simp only [weightedTotalDegree', support_zero, Finset.sup_empty] #align mv_polynomial.weighted_total_degree'_zero MvPolynomial.weightedTotalDegree'_zero def IsWeightedHomogeneous (w : σ → M) (φ : MvPolynomial σ R) (m : M) : Prop := ∀ ⦃d⦄, coeff d φ ≠ 0 → weightedDegree w d = m #align mv_polynomial.is_weighted_homogeneous MvPolynomial.IsWeightedHomogeneous variable (R) def weightedHomogeneousSubmodule (w : σ → M) (m : M) : Submodule R (MvPolynomial σ R) where carrier := { x | x.IsWeightedHomogeneous w m } smul_mem' r a ha c hc := by rw [coeff_smul] at hc exact ha (right_ne_zero_of_mul hc) zero_mem' d hd := False.elim (hd <| coeff_zero _) add_mem' {a} {b} ha hb c hc := by rw [coeff_add] at hc obtain h | h : coeff c a ≠ 0 ∨ coeff c b ≠ 0 := by contrapose! hc simp only [hc, add_zero] · exact ha h · exact hb h #align mv_polynomial.weighted_homogeneous_submodule MvPolynomial.weightedHomogeneousSubmodule @[simp] theorem mem_weightedHomogeneousSubmodule (w : σ → M) (m : M) (p : MvPolynomial σ R) : p ∈ weightedHomogeneousSubmodule R w m ↔ p.IsWeightedHomogeneous w m := Iff.rfl #align mv_polynomial.mem_weighted_homogeneous_submodule MvPolynomial.mem_weightedHomogeneousSubmodule theorem weightedHomogeneousSubmodule_eq_finsupp_supported (w : σ → M) (m : M) : weightedHomogeneousSubmodule R w m = Finsupp.supported R R { d | weightedDegree w d = m } := by ext x rw [mem_supported, Set.subset_def] simp only [Finsupp.mem_support_iff, mem_coe] rfl #align mv_polynomial.weighted_homogeneous_submodule_eq_finsupp_supported MvPolynomial.weightedHomogeneousSubmodule_eq_finsupp_supported variable {R}
Mathlib/RingTheory/MvPolynomial/WeightedHomogeneous.lean
180
192
theorem weightedHomogeneousSubmodule_mul (w : σ → M) (m n : M) : weightedHomogeneousSubmodule R w m * weightedHomogeneousSubmodule R w n ≤ weightedHomogeneousSubmodule R w (m + n) := by
classical rw [Submodule.mul_le] intro φ hφ ψ hψ c hc rw [coeff_mul] at hc obtain ⟨⟨d, e⟩, hde, H⟩ := Finset.exists_ne_zero_of_sum_ne_zero hc have aux : coeff d φ ≠ 0 ∧ coeff e ψ ≠ 0 := by contrapose! H by_cases h : coeff d φ = 0 <;> simp_all only [Ne, not_false_iff, zero_mul, mul_zero] rw [← mem_antidiagonal.mp hde, ← hφ aux.1, ← hψ aux.2, map_add]
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine import Mathlib.Tactic.IntervalCases #align_import geometry.euclidean.triangle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open scoped Classical open scoped Real open scoped RealInnerProductSpace namespace InnerProductGeometry variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] theorem norm_sub_sq_eq_norm_sq_add_norm_sq_sub_two_mul_norm_mul_norm_mul_cos_angle (x y : V) : ‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ - 2 * ‖x‖ * ‖y‖ * Real.cos (angle x y) := by rw [show 2 * ‖x‖ * ‖y‖ * Real.cos (angle x y) = 2 * (Real.cos (angle x y) * (‖x‖ * ‖y‖)) by ring, cos_angle_mul_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, ← real_inner_self_eq_norm_mul_norm, real_inner_sub_sub_self, sub_add_eq_add_sub] #align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq_sub_two_mul_norm_mul_norm_mul_cos_angle InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq_sub_two_mul_norm_mul_norm_mul_cos_angle theorem angle_sub_eq_angle_sub_rev_of_norm_eq {x y : V} (h : ‖x‖ = ‖y‖) : angle x (x - y) = angle y (y - x) := by refine Real.injOn_cos ⟨angle_nonneg _ _, angle_le_pi _ _⟩ ⟨angle_nonneg _ _, angle_le_pi _ _⟩ ?_ rw [cos_angle, cos_angle, h, ← neg_sub, norm_neg, neg_sub, inner_sub_right, inner_sub_right, real_inner_self_eq_norm_mul_norm, real_inner_self_eq_norm_mul_norm, h, real_inner_comm x y] #align inner_product_geometry.angle_sub_eq_angle_sub_rev_of_norm_eq InnerProductGeometry.angle_sub_eq_angle_sub_rev_of_norm_eq theorem norm_eq_of_angle_sub_eq_angle_sub_rev_of_angle_ne_pi {x y : V} (h : angle x (x - y) = angle y (y - x)) (hpi : angle x y ≠ π) : ‖x‖ = ‖y‖ := by replace h := Real.arccos_injOn (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one x (x - y))) (abs_le.mp (abs_real_inner_div_norm_mul_norm_le_one y (y - x))) h by_cases hxy : x = y · rw [hxy] · rw [← norm_neg (y - x), neg_sub, mul_comm, mul_comm ‖y‖, div_eq_mul_inv, div_eq_mul_inv, mul_inv_rev, mul_inv_rev, ← mul_assoc, ← mul_assoc] at h replace h := mul_right_cancel₀ (inv_ne_zero fun hz => hxy (eq_of_sub_eq_zero (norm_eq_zero.1 hz))) h rw [inner_sub_right, inner_sub_right, real_inner_comm x y, real_inner_self_eq_norm_mul_norm, real_inner_self_eq_norm_mul_norm, mul_sub_right_distrib, mul_sub_right_distrib, mul_self_mul_inv, mul_self_mul_inv, sub_eq_sub_iff_sub_eq_sub, ← mul_sub_left_distrib] at h by_cases hx0 : x = 0 · rw [hx0, norm_zero, inner_zero_left, zero_mul, zero_sub, neg_eq_zero] at h rw [hx0, norm_zero, h] · by_cases hy0 : y = 0 · rw [hy0, norm_zero, inner_zero_right, zero_mul, sub_zero] at h rw [hy0, norm_zero, h] · rw [inv_sub_inv (fun hz => hx0 (norm_eq_zero.1 hz)) fun hz => hy0 (norm_eq_zero.1 hz), ← neg_sub, ← mul_div_assoc, mul_comm, mul_div_assoc, ← mul_neg_one] at h symm by_contra hyx replace h := (mul_left_cancel₀ (sub_ne_zero_of_ne hyx) h).symm rw [real_inner_div_norm_mul_norm_eq_neg_one_iff, ← angle_eq_pi_iff] at h exact hpi h #align inner_product_geometry.norm_eq_of_angle_sub_eq_angle_sub_rev_of_angle_ne_pi InnerProductGeometry.norm_eq_of_angle_sub_eq_angle_sub_rev_of_angle_ne_pi
Mathlib/Geometry/Euclidean/Triangle.lean
109
143
theorem cos_angle_sub_add_angle_sub_rev_eq_neg_cos_angle {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) : Real.cos (angle x (x - y) + angle y (y - x)) = -Real.cos (angle x y) := by
by_cases hxy : x = y · rw [hxy, angle_self hy] simp · rw [Real.cos_add, cos_angle, cos_angle, cos_angle] have hxn : ‖x‖ ≠ 0 := fun h => hx (norm_eq_zero.1 h) have hyn : ‖y‖ ≠ 0 := fun h => hy (norm_eq_zero.1 h) have hxyn : ‖x - y‖ ≠ 0 := fun h => hxy (eq_of_sub_eq_zero (norm_eq_zero.1 h)) apply mul_right_cancel₀ hxn apply mul_right_cancel₀ hyn apply mul_right_cancel₀ hxyn apply mul_right_cancel₀ hxyn have H1 : Real.sin (angle x (x - y)) * Real.sin (angle y (y - x)) * ‖x‖ * ‖y‖ * ‖x - y‖ * ‖x - y‖ = Real.sin (angle x (x - y)) * (‖x‖ * ‖x - y‖) * (Real.sin (angle y (y - x)) * (‖y‖ * ‖x - y‖)) := by ring have H2 : ⟪x, x⟫ * (⟪x, x⟫ - ⟪x, y⟫ - (⟪x, y⟫ - ⟪y, y⟫)) - (⟪x, x⟫ - ⟪x, y⟫) * (⟪x, x⟫ - ⟪x, y⟫) = ⟪x, x⟫ * ⟪y, y⟫ - ⟪x, y⟫ * ⟪x, y⟫ := by ring have H3 : ⟪y, y⟫ * (⟪y, y⟫ - ⟪x, y⟫ - (⟪x, y⟫ - ⟪x, x⟫)) - (⟪y, y⟫ - ⟪x, y⟫) * (⟪y, y⟫ - ⟪x, y⟫) = ⟪x, x⟫ * ⟪y, y⟫ - ⟪x, y⟫ * ⟪x, y⟫ := by ring rw [mul_sub_right_distrib, mul_sub_right_distrib, mul_sub_right_distrib, mul_sub_right_distrib, H1, sin_angle_mul_norm_mul_norm, norm_sub_rev x y, sin_angle_mul_norm_mul_norm, norm_sub_rev y x, inner_sub_left, inner_sub_left, inner_sub_right, inner_sub_right, inner_sub_right, inner_sub_right, real_inner_comm x y, H2, H3, Real.mul_self_sqrt (sub_nonneg_of_le (real_inner_mul_inner_self_le x y)), real_inner_self_eq_norm_mul_norm, real_inner_self_eq_norm_mul_norm, real_inner_eq_norm_mul_self_add_norm_mul_self_sub_norm_sub_mul_self_div_two] field_simp [hxn, hyn, hxyn] ring
import Mathlib.Analysis.Normed.Group.Pointwise import Mathlib.Analysis.NormedSpace.Real #align_import analysis.normed_space.pointwise from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156" open Metric Set open Pointwise Topology variable {𝕜 E : Type*} variable [NormedField 𝕜] section SeminormedAddCommGroup variable [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] theorem smul_ball {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) : c • ball x r = ball (c • x) (‖c‖ * r) := by ext y rw [mem_smul_set_iff_inv_smul_mem₀ hc] conv_lhs => rw [← inv_smul_smul₀ hc x] simp [← div_eq_inv_mul, div_lt_iff (norm_pos_iff.2 hc), mul_comm _ r, dist_smul₀] #align smul_ball smul_ball theorem smul_unitBall {c : 𝕜} (hc : c ≠ 0) : c • ball (0 : E) (1 : ℝ) = ball (0 : E) ‖c‖ := by rw [_root_.smul_ball hc, smul_zero, mul_one] #align smul_unit_ball smul_unitBall theorem smul_sphere' {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) : c • sphere x r = sphere (c • x) (‖c‖ * r) := by ext y rw [mem_smul_set_iff_inv_smul_mem₀ hc] conv_lhs => rw [← inv_smul_smul₀ hc x] simp only [mem_sphere, dist_smul₀, norm_inv, ← div_eq_inv_mul, div_eq_iff (norm_pos_iff.2 hc).ne', mul_comm r] #align smul_sphere' smul_sphere' theorem smul_closedBall' {c : 𝕜} (hc : c ≠ 0) (x : E) (r : ℝ) : c • closedBall x r = closedBall (c • x) (‖c‖ * r) := by simp only [← ball_union_sphere, Set.smul_set_union, _root_.smul_ball hc, smul_sphere' hc] #align smul_closed_ball' smul_closedBall' theorem set_smul_sphere_zero {s : Set 𝕜} (hs : 0 ∉ s) (r : ℝ) : s • sphere (0 : E) r = (‖·‖) ⁻¹' ((‖·‖ * r) '' s) := calc s • sphere (0 : E) r = ⋃ c ∈ s, c • sphere (0 : E) r := iUnion_smul_left_image.symm _ = ⋃ c ∈ s, sphere (0 : E) (‖c‖ * r) := iUnion₂_congr fun c hc ↦ by rw [smul_sphere' (ne_of_mem_of_not_mem hc hs), smul_zero] _ = (‖·‖) ⁻¹' ((‖·‖ * r) '' s) := by ext; simp [eq_comm] theorem Bornology.IsBounded.smul₀ {s : Set E} (hs : IsBounded s) (c : 𝕜) : IsBounded (c • s) := (lipschitzWith_smul c).isBounded_image hs #align metric.bounded.smul Bornology.IsBounded.smul₀ theorem eventually_singleton_add_smul_subset {x : E} {s : Set E} (hs : Bornology.IsBounded s) {u : Set E} (hu : u ∈ 𝓝 x) : ∀ᶠ r in 𝓝 (0 : 𝕜), {x} + r • s ⊆ u := by obtain ⟨ε, εpos, hε⟩ : ∃ ε : ℝ, 0 < ε ∧ closedBall x ε ⊆ u := nhds_basis_closedBall.mem_iff.1 hu obtain ⟨R, Rpos, hR⟩ : ∃ R : ℝ, 0 < R ∧ s ⊆ closedBall 0 R := hs.subset_closedBall_lt 0 0 have : Metric.closedBall (0 : 𝕜) (ε / R) ∈ 𝓝 (0 : 𝕜) := closedBall_mem_nhds _ (div_pos εpos Rpos) filter_upwards [this] with r hr simp only [image_add_left, singleton_add] intro y hy obtain ⟨z, zs, hz⟩ : ∃ z : E, z ∈ s ∧ r • z = -x + y := by simpa [mem_smul_set] using hy have I : ‖r • z‖ ≤ ε := calc ‖r • z‖ = ‖r‖ * ‖z‖ := norm_smul _ _ _ ≤ ε / R * R := (mul_le_mul (mem_closedBall_zero_iff.1 hr) (mem_closedBall_zero_iff.1 (hR zs)) (norm_nonneg _) (div_pos εpos Rpos).le) _ = ε := by field_simp have : y = x + r • z := by simp only [hz, add_neg_cancel_left] apply hε simpa only [this, dist_eq_norm, add_sub_cancel_left, mem_closedBall] using I #align eventually_singleton_add_smul_subset eventually_singleton_add_smul_subset variable [NormedSpace ℝ E] {x y z : E} {δ ε : ℝ} theorem smul_unitBall_of_pos {r : ℝ} (hr : 0 < r) : r • ball (0 : E) 1 = ball (0 : E) r := by rw [smul_unitBall hr.ne', Real.norm_of_nonneg hr.le] #align smul_unit_ball_of_pos smul_unitBall_of_pos lemma Ioo_smul_sphere_zero {a b r : ℝ} (ha : 0 ≤ a) (hr : 0 < r) : Ioo a b • sphere (0 : E) r = ball 0 (b * r) \ closedBall 0 (a * r) := by have : EqOn (‖·‖) id (Ioo a b) := fun x hx ↦ abs_of_pos (ha.trans_lt hx.1) rw [set_smul_sphere_zero (by simp [ha.not_lt]), ← image_image (· * r), this.image_eq, image_id, image_mul_right_Ioo _ _ hr] ext x; simp [and_comm] -- This is also true for `ℚ`-normed spaces theorem exists_dist_eq (x z : E) {a b : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b) (hab : a + b = 1) : ∃ y, dist x y = b * dist x z ∧ dist y z = a * dist x z := by use a • x + b • z nth_rw 1 [← one_smul ℝ x] nth_rw 4 [← one_smul ℝ z] simp [dist_eq_norm, ← hab, add_smul, ← smul_sub, norm_smul_of_nonneg, ha, hb] #align exists_dist_eq exists_dist_eq theorem exists_dist_le_le (hδ : 0 ≤ δ) (hε : 0 ≤ ε) (h : dist x z ≤ ε + δ) : ∃ y, dist x y ≤ δ ∧ dist y z ≤ ε := by obtain rfl | hε' := hε.eq_or_lt · exact ⟨z, by rwa [zero_add] at h, (dist_self _).le⟩ have hεδ := add_pos_of_pos_of_nonneg hε' hδ refine (exists_dist_eq x z (div_nonneg hε <| add_nonneg hε hδ) (div_nonneg hδ <| add_nonneg hε hδ) <| by rw [← add_div, div_self hεδ.ne']).imp fun y hy => ?_ rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε] rw [← div_le_one hεδ] at h exact ⟨mul_le_of_le_one_left hδ h, mul_le_of_le_one_left hε h⟩ #align exists_dist_le_le exists_dist_le_le -- This is also true for `ℚ`-normed spaces theorem exists_dist_le_lt (hδ : 0 ≤ δ) (hε : 0 < ε) (h : dist x z < ε + δ) : ∃ y, dist x y ≤ δ ∧ dist y z < ε := by refine (exists_dist_eq x z (div_nonneg hε.le <| add_nonneg hε.le hδ) (div_nonneg hδ <| add_nonneg hε.le hδ) <| by rw [← add_div, div_self (add_pos_of_pos_of_nonneg hε hδ).ne']).imp fun y hy => ?_ rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε] rw [← div_lt_one (add_pos_of_pos_of_nonneg hε hδ)] at h exact ⟨mul_le_of_le_one_left hδ h.le, mul_lt_of_lt_one_left hε h⟩ #align exists_dist_le_lt exists_dist_le_lt -- This is also true for `ℚ`-normed spaces theorem exists_dist_lt_le (hδ : 0 < δ) (hε : 0 ≤ ε) (h : dist x z < ε + δ) : ∃ y, dist x y < δ ∧ dist y z ≤ ε := by obtain ⟨y, yz, xy⟩ := exists_dist_le_lt hε hδ (show dist z x < δ + ε by simpa only [dist_comm, add_comm] using h) exact ⟨y, by simp [dist_comm x y, dist_comm y z, *]⟩ #align exists_dist_lt_le exists_dist_lt_le -- This is also true for `ℚ`-normed spaces theorem exists_dist_lt_lt (hδ : 0 < δ) (hε : 0 < ε) (h : dist x z < ε + δ) : ∃ y, dist x y < δ ∧ dist y z < ε := by refine (exists_dist_eq x z (div_nonneg hε.le <| add_nonneg hε.le hδ.le) (div_nonneg hδ.le <| add_nonneg hε.le hδ.le) <| by rw [← add_div, div_self (add_pos hε hδ).ne']).imp fun y hy => ?_ rw [hy.1, hy.2, div_mul_comm, div_mul_comm ε] rw [← div_lt_one (add_pos hε hδ)] at h exact ⟨mul_lt_of_lt_one_left hδ h, mul_lt_of_lt_one_left hε h⟩ #align exists_dist_lt_lt exists_dist_lt_lt -- This is also true for `ℚ`-normed spaces theorem disjoint_ball_ball_iff (hδ : 0 < δ) (hε : 0 < ε) : Disjoint (ball x δ) (ball y ε) ↔ δ + ε ≤ dist x y := by refine ⟨fun h => le_of_not_lt fun hxy => ?_, ball_disjoint_ball⟩ rw [add_comm] at hxy obtain ⟨z, hxz, hzy⟩ := exists_dist_lt_lt hδ hε hxy rw [dist_comm] at hxz exact h.le_bot ⟨hxz, hzy⟩ #align disjoint_ball_ball_iff disjoint_ball_ball_iff -- This is also true for `ℚ`-normed spaces theorem disjoint_ball_closedBall_iff (hδ : 0 < δ) (hε : 0 ≤ ε) : Disjoint (ball x δ) (closedBall y ε) ↔ δ + ε ≤ dist x y := by refine ⟨fun h => le_of_not_lt fun hxy => ?_, ball_disjoint_closedBall⟩ rw [add_comm] at hxy obtain ⟨z, hxz, hzy⟩ := exists_dist_lt_le hδ hε hxy rw [dist_comm] at hxz exact h.le_bot ⟨hxz, hzy⟩ #align disjoint_ball_closed_ball_iff disjoint_ball_closedBall_iff -- This is also true for `ℚ`-normed spaces theorem disjoint_closedBall_ball_iff (hδ : 0 ≤ δ) (hε : 0 < ε) : Disjoint (closedBall x δ) (ball y ε) ↔ δ + ε ≤ dist x y := by rw [disjoint_comm, disjoint_ball_closedBall_iff hε hδ, add_comm, dist_comm] #align disjoint_closed_ball_ball_iff disjoint_closedBall_ball_iff theorem disjoint_closedBall_closedBall_iff (hδ : 0 ≤ δ) (hε : 0 ≤ ε) : Disjoint (closedBall x δ) (closedBall y ε) ↔ δ + ε < dist x y := by refine ⟨fun h => lt_of_not_ge fun hxy => ?_, closedBall_disjoint_closedBall⟩ rw [add_comm] at hxy obtain ⟨z, hxz, hzy⟩ := exists_dist_le_le hδ hε hxy rw [dist_comm] at hxz exact h.le_bot ⟨hxz, hzy⟩ #align disjoint_closed_ball_closed_ball_iff disjoint_closedBall_closedBall_iff open EMetric ENNReal @[simp] theorem infEdist_thickening (hδ : 0 < δ) (s : Set E) (x : E) : infEdist x (thickening δ s) = infEdist x s - ENNReal.ofReal δ := by obtain hs | hs := lt_or_le (infEdist x s) (ENNReal.ofReal δ) · rw [infEdist_zero_of_mem, tsub_eq_zero_of_le hs.le] exact hs refine (tsub_le_iff_right.2 infEdist_le_infEdist_thickening_add).antisymm' ?_ refine le_sub_of_add_le_right ofReal_ne_top ?_ refine le_infEdist.2 fun z hz => le_of_forall_lt' fun r h => ?_ cases' r with r · exact add_lt_top.2 ⟨lt_top_iff_ne_top.2 <| infEdist_ne_top ⟨z, self_subset_thickening hδ _ hz⟩, ofReal_lt_top⟩ have hr : 0 < ↑r - δ := by refine sub_pos_of_lt ?_ have := hs.trans_lt ((infEdist_le_edist_of_mem hz).trans_lt h) rw [ofReal_eq_coe_nnreal hδ.le] at this exact mod_cast this rw [edist_lt_coe, ← dist_lt_coe, ← add_sub_cancel δ ↑r] at h obtain ⟨y, hxy, hyz⟩ := exists_dist_lt_lt hr hδ h refine (ENNReal.add_lt_add_right ofReal_ne_top <| infEdist_lt_iff.2 ⟨_, mem_thickening_iff.2 ⟨_, hz, hyz⟩, edist_lt_ofReal.2 hxy⟩).trans_le ?_ rw [← ofReal_add hr.le hδ.le, sub_add_cancel, ofReal_coe_nnreal] #align inf_edist_thickening infEdist_thickening @[simp] theorem thickening_thickening (hε : 0 < ε) (hδ : 0 < δ) (s : Set E) : thickening ε (thickening δ s) = thickening (ε + δ) s := (thickening_thickening_subset _ _ _).antisymm fun x => by simp_rw [mem_thickening_iff] rintro ⟨z, hz, hxz⟩ rw [add_comm] at hxz obtain ⟨y, hxy, hyz⟩ := exists_dist_lt_lt hε hδ hxz exact ⟨y, ⟨_, hz, hyz⟩, hxy⟩ #align thickening_thickening thickening_thickening @[simp] theorem cthickening_thickening (hε : 0 ≤ ε) (hδ : 0 < δ) (s : Set E) : cthickening ε (thickening δ s) = cthickening (ε + δ) s := (cthickening_thickening_subset hε _ _).antisymm fun x => by simp_rw [mem_cthickening_iff, ENNReal.ofReal_add hε hδ.le, infEdist_thickening hδ] exact tsub_le_iff_right.2 #align cthickening_thickening cthickening_thickening -- Note: `interior (cthickening δ s) ≠ thickening δ s` in general @[simp] theorem closure_thickening (hδ : 0 < δ) (s : Set E) : closure (thickening δ s) = cthickening δ s := by rw [← cthickening_zero, cthickening_thickening le_rfl hδ, zero_add] #align closure_thickening closure_thickening @[simp] theorem infEdist_cthickening (δ : ℝ) (s : Set E) (x : E) : infEdist x (cthickening δ s) = infEdist x s - ENNReal.ofReal δ := by obtain hδ | hδ := le_or_lt δ 0 · rw [cthickening_of_nonpos hδ, infEdist_closure, ofReal_of_nonpos hδ, tsub_zero] · rw [← closure_thickening hδ, infEdist_closure, infEdist_thickening hδ] #align inf_edist_cthickening infEdist_cthickening @[simp] theorem thickening_cthickening (hε : 0 < ε) (hδ : 0 ≤ δ) (s : Set E) : thickening ε (cthickening δ s) = thickening (ε + δ) s := by obtain rfl | hδ := hδ.eq_or_lt · rw [cthickening_zero, thickening_closure, add_zero] · rw [← closure_thickening hδ, thickening_closure, thickening_thickening hε hδ] #align thickening_cthickening thickening_cthickening @[simp] theorem cthickening_cthickening (hε : 0 ≤ ε) (hδ : 0 ≤ δ) (s : Set E) : cthickening ε (cthickening δ s) = cthickening (ε + δ) s := (cthickening_cthickening_subset hε hδ _).antisymm fun x => by simp_rw [mem_cthickening_iff, ENNReal.ofReal_add hε hδ, infEdist_cthickening] exact tsub_le_iff_right.2 #align cthickening_cthickening cthickening_cthickening @[simp] theorem thickening_ball (hε : 0 < ε) (hδ : 0 < δ) (x : E) : thickening ε (ball x δ) = ball x (ε + δ) := by rw [← thickening_singleton, thickening_thickening hε hδ, thickening_singleton] #align thickening_ball thickening_ball @[simp] theorem thickening_closedBall (hε : 0 < ε) (hδ : 0 ≤ δ) (x : E) : thickening ε (closedBall x δ) = ball x (ε + δ) := by rw [← cthickening_singleton _ hδ, thickening_cthickening hε hδ, thickening_singleton] #align thickening_closed_ball thickening_closedBall @[simp] theorem cthickening_ball (hε : 0 ≤ ε) (hδ : 0 < δ) (x : E) : cthickening ε (ball x δ) = closedBall x (ε + δ) := by rw [← thickening_singleton, cthickening_thickening hε hδ, cthickening_singleton _ (add_nonneg hε hδ.le)] #align cthickening_ball cthickening_ball @[simp] theorem cthickening_closedBall (hε : 0 ≤ ε) (hδ : 0 ≤ δ) (x : E) : cthickening ε (closedBall x δ) = closedBall x (ε + δ) := by rw [← cthickening_singleton _ hδ, cthickening_cthickening hε hδ, cthickening_singleton _ (add_nonneg hε hδ)] #align cthickening_closed_ball cthickening_closedBall theorem ball_add_ball (hε : 0 < ε) (hδ : 0 < δ) (a b : E) : ball a ε + ball b δ = ball (a + b) (ε + δ) := by rw [ball_add, thickening_ball hε hδ b, Metric.vadd_ball, vadd_eq_add] #align ball_add_ball ball_add_ball theorem ball_sub_ball (hε : 0 < ε) (hδ : 0 < δ) (a b : E) : ball a ε - ball b δ = ball (a - b) (ε + δ) := by simp_rw [sub_eq_add_neg, neg_ball, ball_add_ball hε hδ] #align ball_sub_ball ball_sub_ball theorem ball_add_closedBall (hε : 0 < ε) (hδ : 0 ≤ δ) (a b : E) : ball a ε + closedBall b δ = ball (a + b) (ε + δ) := by rw [ball_add, thickening_closedBall hε hδ b, Metric.vadd_ball, vadd_eq_add] #align ball_add_closed_ball ball_add_closedBall theorem ball_sub_closedBall (hε : 0 < ε) (hδ : 0 ≤ δ) (a b : E) : ball a ε - closedBall b δ = ball (a - b) (ε + δ) := by simp_rw [sub_eq_add_neg, neg_closedBall, ball_add_closedBall hε hδ] #align ball_sub_closed_ball ball_sub_closedBall theorem closedBall_add_ball (hε : 0 ≤ ε) (hδ : 0 < δ) (a b : E) : closedBall a ε + ball b δ = ball (a + b) (ε + δ) := by rw [add_comm, ball_add_closedBall hδ hε b, add_comm, add_comm δ] #align closed_ball_add_ball closedBall_add_ball theorem closedBall_sub_ball (hε : 0 ≤ ε) (hδ : 0 < δ) (a b : E) : closedBall a ε - ball b δ = ball (a - b) (ε + δ) := by simp_rw [sub_eq_add_neg, neg_ball, closedBall_add_ball hε hδ] #align closed_ball_sub_ball closedBall_sub_ball theorem closedBall_add_closedBall [ProperSpace E] (hε : 0 ≤ ε) (hδ : 0 ≤ δ) (a b : E) : closedBall a ε + closedBall b δ = closedBall (a + b) (ε + δ) := by rw [(isCompact_closedBall _ _).add_closedBall hδ b, cthickening_closedBall hδ hε a, Metric.vadd_closedBall, vadd_eq_add, add_comm, add_comm δ] #align closed_ball_add_closed_ball closedBall_add_closedBall
Mathlib/Analysis/NormedSpace/Pointwise.lean
389
391
theorem closedBall_sub_closedBall [ProperSpace E] (hε : 0 ≤ ε) (hδ : 0 ≤ δ) (a b : E) : closedBall a ε - closedBall b δ = closedBall (a - b) (ε + δ) := by
rw [sub_eq_add_neg, neg_closedBall, closedBall_add_closedBall hε hδ, sub_eq_add_neg]
import Mathlib.RingTheory.MvPowerSeries.Basic import Mathlib.Data.Finsupp.Interval noncomputable section open Finset (antidiagonal mem_antidiagonal) namespace MvPowerSeries open Finsupp variable {σ R : Type*} section Trunc variable [CommSemiring R] (n : σ →₀ ℕ) def truncFun (φ : MvPowerSeries σ R) : MvPolynomial σ R := ∑ m ∈ Finset.Iio n, MvPolynomial.monomial m (coeff R m φ) #align mv_power_series.trunc_fun MvPowerSeries.truncFun theorem coeff_truncFun (m : σ →₀ ℕ) (φ : MvPowerSeries σ R) : (truncFun n φ).coeff m = if m < n then coeff R m φ else 0 := by classical simp [truncFun, MvPolynomial.coeff_sum] #align mv_power_series.coeff_trunc_fun MvPowerSeries.coeff_truncFun variable (R) def trunc : MvPowerSeries σ R →+ MvPolynomial σ R where toFun := truncFun n map_zero' := by classical ext simp [coeff_truncFun] map_add' := by classical intros x y ext m simp only [coeff_truncFun, MvPolynomial.coeff_add] split_ifs · rw [map_add] · rw [zero_add] #align mv_power_series.trunc MvPowerSeries.trunc variable {R}
Mathlib/RingTheory/MvPowerSeries/Trunc.lean
71
73
theorem coeff_trunc (m : σ →₀ ℕ) (φ : MvPowerSeries σ R) : (trunc R n φ).coeff m = if m < n then coeff R m φ else 0 := by
classical simp [trunc, coeff_truncFun]
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 namespace AddCommGroup theorem modEq_iff_toIcoMod_eq_left : a ≡ b [PMOD p] ↔ toIcoMod hp a b = a := modEq_iff_eq_add_zsmul.trans ⟨by rintro ⟨n, rfl⟩ rw [toIcoMod_add_zsmul, toIcoMod_apply_left], fun h => ⟨toIcoDiv hp a b, eq_add_of_sub_eq h⟩⟩ #align add_comm_group.modeq_iff_to_Ico_mod_eq_left AddCommGroup.modEq_iff_toIcoMod_eq_left theorem modEq_iff_toIocMod_eq_right : a ≡ b [PMOD p] ↔ toIocMod hp a b = a + p := by refine modEq_iff_eq_add_zsmul.trans ⟨?_, fun h => ⟨toIocDiv hp a b + 1, ?_⟩⟩ · rintro ⟨z, rfl⟩ rw [toIocMod_add_zsmul, toIocMod_apply_left] · rwa [add_one_zsmul, add_left_comm, ← sub_eq_iff_eq_add'] #align add_comm_group.modeq_iff_to_Ioc_mod_eq_right AddCommGroup.modEq_iff_toIocMod_eq_right alias ⟨ModEq.toIcoMod_eq_left, _⟩ := modEq_iff_toIcoMod_eq_left #align add_comm_group.modeq.to_Ico_mod_eq_left AddCommGroup.ModEq.toIcoMod_eq_left alias ⟨ModEq.toIcoMod_eq_right, _⟩ := modEq_iff_toIocMod_eq_right #align add_comm_group.modeq.to_Ico_mod_eq_right AddCommGroup.ModEq.toIcoMod_eq_right variable (a b) open List in theorem tfae_modEq : TFAE [a ≡ b [PMOD p], ∀ z : ℤ, b - z • p ∉ Set.Ioo a (a + p), toIcoMod hp a b ≠ toIocMod hp a b, toIcoMod hp a b + p = toIocMod hp a b] := by rw [modEq_iff_toIcoMod_eq_left hp] tfae_have 3 → 2 · rw [← not_exists, not_imp_not] exact fun ⟨i, hi⟩ => ((toIcoMod_eq_iff hp).2 ⟨Set.Ioo_subset_Ico_self hi, i, (sub_add_cancel b _).symm⟩).trans ((toIocMod_eq_iff hp).2 ⟨Set.Ioo_subset_Ioc_self hi, i, (sub_add_cancel b _).symm⟩).symm tfae_have 4 → 3 · intro h rw [← h, Ne, eq_comm, add_right_eq_self] exact hp.ne' tfae_have 1 → 4 · intro h rw [h, eq_comm, toIocMod_eq_iff, Set.right_mem_Ioc] refine ⟨lt_add_of_pos_right a hp, toIcoDiv hp a b - 1, ?_⟩ rw [sub_one_zsmul, add_add_add_comm, add_right_neg, add_zero] conv_lhs => rw [← toIcoMod_add_toIcoDiv_zsmul hp a b, h] tfae_have 2 → 1 · rw [← not_exists, not_imp_comm] have h' := toIcoMod_mem_Ico hp a b exact fun h => ⟨_, h'.1.lt_of_ne' h, h'.2⟩ tfae_finish #align add_comm_group.tfae_modeq AddCommGroup.tfae_modEq variable {a b} theorem modEq_iff_not_forall_mem_Ioo_mod : a ≡ b [PMOD p] ↔ ∀ z : ℤ, b - z • p ∉ Set.Ioo a (a + p) := (tfae_modEq hp a b).out 0 1 #align add_comm_group.modeq_iff_not_forall_mem_Ioo_mod AddCommGroup.modEq_iff_not_forall_mem_Ioo_mod theorem modEq_iff_toIcoMod_ne_toIocMod : a ≡ b [PMOD p] ↔ toIcoMod hp a b ≠ toIocMod hp a b := (tfae_modEq hp a b).out 0 2 #align add_comm_group.modeq_iff_to_Ico_mod_ne_to_Ioc_mod AddCommGroup.modEq_iff_toIcoMod_ne_toIocMod theorem modEq_iff_toIcoMod_add_period_eq_toIocMod : a ≡ b [PMOD p] ↔ toIcoMod hp a b + p = toIocMod hp a b := (tfae_modEq hp a b).out 0 3 #align add_comm_group.modeq_iff_to_Ico_mod_add_period_eq_to_Ioc_mod AddCommGroup.modEq_iff_toIcoMod_add_period_eq_toIocMod theorem not_modEq_iff_toIcoMod_eq_toIocMod : ¬a ≡ b [PMOD p] ↔ toIcoMod hp a b = toIocMod hp a b := (modEq_iff_toIcoMod_ne_toIocMod _).not_left #align add_comm_group.not_modeq_iff_to_Ico_mod_eq_to_Ioc_mod AddCommGroup.not_modEq_iff_toIcoMod_eq_toIocMod theorem not_modEq_iff_toIcoDiv_eq_toIocDiv : ¬a ≡ b [PMOD p] ↔ toIcoDiv hp a b = toIocDiv hp a b := by rw [not_modEq_iff_toIcoMod_eq_toIocMod hp, toIcoMod, toIocMod, sub_right_inj, (zsmul_strictMono_left hp).injective.eq_iff] #align add_comm_group.not_modeq_iff_to_Ico_div_eq_to_Ioc_div AddCommGroup.not_modEq_iff_toIcoDiv_eq_toIocDiv
Mathlib/Algebra/Order/ToIntervalMod.lean
673
676
theorem modEq_iff_toIcoDiv_eq_toIocDiv_add_one : a ≡ b [PMOD p] ↔ toIcoDiv hp a b = toIocDiv hp a b + 1 := by
rw [modEq_iff_toIcoMod_add_period_eq_toIocMod hp, toIcoMod, toIocMod, ← eq_sub_iff_add_eq, sub_sub, sub_right_inj, ← add_one_zsmul, (zsmul_strictMono_left hp).injective.eq_iff]
import Mathlib.Data.Fintype.Option import Mathlib.Data.Fintype.Prod import Mathlib.Data.Fintype.Pi import Mathlib.Data.Vector.Basic import Mathlib.Data.PFun import Mathlib.Logic.Function.Iterate import Mathlib.Order.Basic import Mathlib.Tactic.ApplyFun #align_import computability.turing_machine from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" assert_not_exists MonoidWithZero open Relation open Nat (iterate) open Function (update iterate_succ iterate_succ_apply iterate_succ' iterate_succ_apply' iterate_zero_apply) namespace Turing def BlankExtends {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop := ∃ n, l₂ = l₁ ++ List.replicate n default #align turing.blank_extends Turing.BlankExtends @[refl] theorem BlankExtends.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankExtends l l := ⟨0, by simp⟩ #align turing.blank_extends.refl Turing.BlankExtends.refl @[trans] theorem BlankExtends.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} : BlankExtends l₁ l₂ → BlankExtends l₂ l₃ → BlankExtends l₁ l₃ := by rintro ⟨i, rfl⟩ ⟨j, rfl⟩ exact ⟨i + j, by simp [List.replicate_add]⟩ #align turing.blank_extends.trans Turing.BlankExtends.trans theorem BlankExtends.below_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} : BlankExtends l l₁ → BlankExtends l l₂ → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by rintro ⟨i, rfl⟩ ⟨j, rfl⟩ h; use j - i simp only [List.length_append, Nat.add_le_add_iff_left, List.length_replicate] at h simp only [← List.replicate_add, Nat.add_sub_cancel' h, List.append_assoc] #align turing.blank_extends.below_of_le Turing.BlankExtends.below_of_le def BlankExtends.above {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} (h₁ : BlankExtends l l₁) (h₂ : BlankExtends l l₂) : { l' // BlankExtends l₁ l' ∧ BlankExtends l₂ l' } := if h : l₁.length ≤ l₂.length then ⟨l₂, h₁.below_of_le h₂ h, BlankExtends.refl _⟩ else ⟨l₁, BlankExtends.refl _, h₂.below_of_le h₁ (le_of_not_ge h)⟩ #align turing.blank_extends.above Turing.BlankExtends.above theorem BlankExtends.above_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} : BlankExtends l₁ l → BlankExtends l₂ l → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by rintro ⟨i, rfl⟩ ⟨j, e⟩ h; use i - j refine List.append_cancel_right (e.symm.trans ?_) rw [List.append_assoc, ← List.replicate_add, Nat.sub_add_cancel] apply_fun List.length at e simp only [List.length_append, List.length_replicate] at e rwa [← Nat.add_le_add_iff_left, e, Nat.add_le_add_iff_right] #align turing.blank_extends.above_of_le Turing.BlankExtends.above_of_le def BlankRel {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop := BlankExtends l₁ l₂ ∨ BlankExtends l₂ l₁ #align turing.blank_rel Turing.BlankRel @[refl] theorem BlankRel.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankRel l l := Or.inl (BlankExtends.refl _) #align turing.blank_rel.refl Turing.BlankRel.refl @[symm] theorem BlankRel.symm {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} : BlankRel l₁ l₂ → BlankRel l₂ l₁ := Or.symm #align turing.blank_rel.symm Turing.BlankRel.symm @[trans] theorem BlankRel.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} : BlankRel l₁ l₂ → BlankRel l₂ l₃ → BlankRel l₁ l₃ := by rintro (h₁ | h₁) (h₂ | h₂) · exact Or.inl (h₁.trans h₂) · rcases le_total l₁.length l₃.length with h | h · exact Or.inl (h₁.above_of_le h₂ h) · exact Or.inr (h₂.above_of_le h₁ h) · rcases le_total l₁.length l₃.length with h | h · exact Or.inl (h₁.below_of_le h₂ h) · exact Or.inr (h₂.below_of_le h₁ h) · exact Or.inr (h₂.trans h₁) #align turing.blank_rel.trans Turing.BlankRel.trans def BlankRel.above {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) : { l // BlankExtends l₁ l ∧ BlankExtends l₂ l } := by refine if hl : l₁.length ≤ l₂.length then ⟨l₂, Or.elim h id fun h' ↦ ?_, BlankExtends.refl _⟩ else ⟨l₁, BlankExtends.refl _, Or.elim h (fun h' ↦ ?_) id⟩ · exact (BlankExtends.refl _).above_of_le h' hl · exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl) #align turing.blank_rel.above Turing.BlankRel.above def BlankRel.below {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) : { l // BlankExtends l l₁ ∧ BlankExtends l l₂ } := by refine if hl : l₁.length ≤ l₂.length then ⟨l₁, BlankExtends.refl _, Or.elim h id fun h' ↦ ?_⟩ else ⟨l₂, Or.elim h (fun h' ↦ ?_) id, BlankExtends.refl _⟩ · exact (BlankExtends.refl _).above_of_le h' hl · exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl) #align turing.blank_rel.below Turing.BlankRel.below theorem BlankRel.equivalence (Γ) [Inhabited Γ] : Equivalence (@BlankRel Γ _) := ⟨BlankRel.refl, @BlankRel.symm _ _, @BlankRel.trans _ _⟩ #align turing.blank_rel.equivalence Turing.BlankRel.equivalence def BlankRel.setoid (Γ) [Inhabited Γ] : Setoid (List Γ) := ⟨_, BlankRel.equivalence _⟩ #align turing.blank_rel.setoid Turing.BlankRel.setoid def ListBlank (Γ) [Inhabited Γ] := Quotient (BlankRel.setoid Γ) #align turing.list_blank Turing.ListBlank instance ListBlank.inhabited {Γ} [Inhabited Γ] : Inhabited (ListBlank Γ) := ⟨Quotient.mk'' []⟩ #align turing.list_blank.inhabited Turing.ListBlank.inhabited instance ListBlank.hasEmptyc {Γ} [Inhabited Γ] : EmptyCollection (ListBlank Γ) := ⟨Quotient.mk'' []⟩ #align turing.list_blank.has_emptyc Turing.ListBlank.hasEmptyc -- Porting note: Removed `@[elab_as_elim]` protected abbrev ListBlank.liftOn {Γ} [Inhabited Γ] {α} (l : ListBlank Γ) (f : List Γ → α) (H : ∀ a b, BlankExtends a b → f a = f b) : α := l.liftOn' f <| by rintro a b (h | h) <;> [exact H _ _ h; exact (H _ _ h).symm] #align turing.list_blank.lift_on Turing.ListBlank.liftOn def ListBlank.mk {Γ} [Inhabited Γ] : List Γ → ListBlank Γ := Quotient.mk'' #align turing.list_blank.mk Turing.ListBlank.mk @[elab_as_elim] protected theorem ListBlank.induction_on {Γ} [Inhabited Γ] {p : ListBlank Γ → Prop} (q : ListBlank Γ) (h : ∀ a, p (ListBlank.mk a)) : p q := Quotient.inductionOn' q h #align turing.list_blank.induction_on Turing.ListBlank.induction_on def ListBlank.head {Γ} [Inhabited Γ] (l : ListBlank Γ) : Γ := by apply l.liftOn List.headI rintro a _ ⟨i, rfl⟩ cases a · cases i <;> rfl rfl #align turing.list_blank.head Turing.ListBlank.head @[simp] theorem ListBlank.head_mk {Γ} [Inhabited Γ] (l : List Γ) : ListBlank.head (ListBlank.mk l) = l.headI := rfl #align turing.list_blank.head_mk Turing.ListBlank.head_mk def ListBlank.tail {Γ} [Inhabited Γ] (l : ListBlank Γ) : ListBlank Γ := by apply l.liftOn (fun l ↦ ListBlank.mk l.tail) rintro a _ ⟨i, rfl⟩ refine Quotient.sound' (Or.inl ?_) cases a · cases' i with i <;> [exact ⟨0, rfl⟩; exact ⟨i, rfl⟩] exact ⟨i, rfl⟩ #align turing.list_blank.tail Turing.ListBlank.tail @[simp] theorem ListBlank.tail_mk {Γ} [Inhabited Γ] (l : List Γ) : ListBlank.tail (ListBlank.mk l) = ListBlank.mk l.tail := rfl #align turing.list_blank.tail_mk Turing.ListBlank.tail_mk def ListBlank.cons {Γ} [Inhabited Γ] (a : Γ) (l : ListBlank Γ) : ListBlank Γ := by apply l.liftOn (fun l ↦ ListBlank.mk (List.cons a l)) rintro _ _ ⟨i, rfl⟩ exact Quotient.sound' (Or.inl ⟨i, rfl⟩) #align turing.list_blank.cons Turing.ListBlank.cons @[simp] theorem ListBlank.cons_mk {Γ} [Inhabited Γ] (a : Γ) (l : List Γ) : ListBlank.cons a (ListBlank.mk l) = ListBlank.mk (a :: l) := rfl #align turing.list_blank.cons_mk Turing.ListBlank.cons_mk @[simp] theorem ListBlank.head_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).head = a := Quotient.ind' fun _ ↦ rfl #align turing.list_blank.head_cons Turing.ListBlank.head_cons @[simp] theorem ListBlank.tail_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).tail = l := Quotient.ind' fun _ ↦ rfl #align turing.list_blank.tail_cons Turing.ListBlank.tail_cons @[simp] theorem ListBlank.cons_head_tail {Γ} [Inhabited Γ] : ∀ l : ListBlank Γ, l.tail.cons l.head = l := by apply Quotient.ind' refine fun l ↦ Quotient.sound' (Or.inr ?_) cases l · exact ⟨1, rfl⟩ · rfl #align turing.list_blank.cons_head_tail Turing.ListBlank.cons_head_tail theorem ListBlank.exists_cons {Γ} [Inhabited Γ] (l : ListBlank Γ) : ∃ a l', l = ListBlank.cons a l' := ⟨_, _, (ListBlank.cons_head_tail _).symm⟩ #align turing.list_blank.exists_cons Turing.ListBlank.exists_cons def ListBlank.nth {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) : Γ := by apply l.liftOn (fun l ↦ List.getI l n) rintro l _ ⟨i, rfl⟩ cases' lt_or_le n _ with h h · rw [List.getI_append _ _ _ h] rw [List.getI_eq_default _ h] rcases le_or_lt _ n with h₂ | h₂ · rw [List.getI_eq_default _ h₂] rw [List.getI_eq_get _ h₂, List.get_append_right' h, List.get_replicate] #align turing.list_blank.nth Turing.ListBlank.nth @[simp] theorem ListBlank.nth_mk {Γ} [Inhabited Γ] (l : List Γ) (n : ℕ) : (ListBlank.mk l).nth n = l.getI n := rfl #align turing.list_blank.nth_mk Turing.ListBlank.nth_mk @[simp] theorem ListBlank.nth_zero {Γ} [Inhabited Γ] (l : ListBlank Γ) : l.nth 0 = l.head := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l.tail fun l ↦ rfl #align turing.list_blank.nth_zero Turing.ListBlank.nth_zero @[simp] theorem ListBlank.nth_succ {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) : l.nth (n + 1) = l.tail.nth n := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l.tail fun l ↦ rfl #align turing.list_blank.nth_succ Turing.ListBlank.nth_succ @[ext] theorem ListBlank.ext {Γ} [i : Inhabited Γ] {L₁ L₂ : ListBlank Γ} : (∀ i, L₁.nth i = L₂.nth i) → L₁ = L₂ := by refine ListBlank.induction_on L₁ fun l₁ ↦ ListBlank.induction_on L₂ fun l₂ H ↦ ?_ wlog h : l₁.length ≤ l₂.length · cases le_total l₁.length l₂.length <;> [skip; symm] <;> apply this <;> try assumption intro rw [H] refine Quotient.sound' (Or.inl ⟨l₂.length - l₁.length, ?_⟩) refine List.ext_get ?_ fun i h h₂ ↦ Eq.symm ?_ · simp only [Nat.add_sub_cancel' h, List.length_append, List.length_replicate] simp only [ListBlank.nth_mk] at H cases' lt_or_le i l₁.length with h' h' · simp only [List.get_append _ h', List.get?_eq_get h, List.get?_eq_get h', ← List.getI_eq_get _ h, ← List.getI_eq_get _ h', H] · simp only [List.get_append_right' h', List.get_replicate, List.get?_eq_get h, List.get?_len_le h', ← List.getI_eq_default _ h', H, List.getI_eq_get _ h] #align turing.list_blank.ext Turing.ListBlank.ext @[simp] def ListBlank.modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) : ℕ → ListBlank Γ → ListBlank Γ | 0, L => L.tail.cons (f L.head) | n + 1, L => (L.tail.modifyNth f n).cons L.head #align turing.list_blank.modify_nth Turing.ListBlank.modifyNth theorem ListBlank.nth_modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) (n i) (L : ListBlank Γ) : (L.modifyNth f n).nth i = if i = n then f (L.nth i) else L.nth i := by induction' n with n IH generalizing i L · cases i <;> simp only [ListBlank.nth_zero, if_true, ListBlank.head_cons, ListBlank.modifyNth, ListBlank.nth_succ, if_false, ListBlank.tail_cons, Nat.zero_eq] · cases i · rw [if_neg (Nat.succ_ne_zero _).symm] simp only [ListBlank.nth_zero, ListBlank.head_cons, ListBlank.modifyNth, Nat.zero_eq] · simp only [IH, ListBlank.modifyNth, ListBlank.nth_succ, ListBlank.tail_cons, Nat.succ.injEq] #align turing.list_blank.nth_modify_nth Turing.ListBlank.nth_modifyNth structure PointedMap.{u, v} (Γ : Type u) (Γ' : Type v) [Inhabited Γ] [Inhabited Γ'] : Type max u v where f : Γ → Γ' map_pt' : f default = default #align turing.pointed_map Turing.PointedMap instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : Inhabited (PointedMap Γ Γ') := ⟨⟨default, rfl⟩⟩ instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : CoeFun (PointedMap Γ Γ') fun _ ↦ Γ → Γ' := ⟨PointedMap.f⟩ -- @[simp] -- Porting note (#10685): dsimp can prove this theorem PointedMap.mk_val {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : Γ → Γ') (pt) : (PointedMap.mk f pt : Γ → Γ') = f := rfl #align turing.pointed_map.mk_val Turing.PointedMap.mk_val @[simp] theorem PointedMap.map_pt {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') : f default = default := PointedMap.map_pt' _ #align turing.pointed_map.map_pt Turing.PointedMap.map_pt @[simp]
Mathlib/Computability/TuringMachine.lean
376
378
theorem PointedMap.headI_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) : (l.map f).headI = f l.headI := by
cases l <;> [exact (PointedMap.map_pt f).symm; rfl]
import Mathlib.SetTheory.Game.Ordinal import Mathlib.SetTheory.Ordinal.NaturalOps #align_import set_theory.game.birthday from "leanprover-community/mathlib"@"a347076985674932c0e91da09b9961ed0a79508c" universe u open Ordinal namespace SetTheory open scoped NaturalOps PGame namespace PGame noncomputable def birthday : PGame.{u} → Ordinal.{u} | ⟨_, _, xL, xR⟩ => max (lsub.{u, u} fun i => birthday (xL i)) (lsub.{u, u} fun i => birthday (xR i)) #align pgame.birthday SetTheory.PGame.birthday theorem birthday_def (x : PGame) : birthday x = max (lsub.{u, u} fun i => birthday (x.moveLeft i)) (lsub.{u, u} fun i => birthday (x.moveRight i)) := by cases x; rw [birthday]; rfl #align pgame.birthday_def SetTheory.PGame.birthday_def theorem birthday_moveLeft_lt {x : PGame} (i : x.LeftMoves) : (x.moveLeft i).birthday < x.birthday := by cases x; rw [birthday]; exact lt_max_of_lt_left (lt_lsub _ i) #align pgame.birthday_move_left_lt SetTheory.PGame.birthday_moveLeft_lt theorem birthday_moveRight_lt {x : PGame} (i : x.RightMoves) : (x.moveRight i).birthday < x.birthday := by cases x; rw [birthday]; exact lt_max_of_lt_right (lt_lsub _ i) #align pgame.birthday_move_right_lt SetTheory.PGame.birthday_moveRight_lt
Mathlib/SetTheory/Game/Birthday.lean
64
78
theorem lt_birthday_iff {x : PGame} {o : Ordinal} : o < x.birthday ↔ (∃ i : x.LeftMoves, o ≤ (x.moveLeft i).birthday) ∨ ∃ i : x.RightMoves, o ≤ (x.moveRight i).birthday := by
constructor · rw [birthday_def] intro h cases' lt_max_iff.1 h with h' h' · left rwa [lt_lsub_iff] at h' · right rwa [lt_lsub_iff] at h' · rintro (⟨i, hi⟩ | ⟨i, hi⟩) · exact hi.trans_lt (birthday_moveLeft_lt i) · exact hi.trans_lt (birthday_moveRight_lt i)
import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.Localization.AtPrime import Mathlib.RingTheory.Localization.Integral #align_import ring_theory.ideal.over from "leanprover-community/mathlib"@"198cb64d5c961e1a8d0d3e219feb7058d5353861" variable {R : Type*} [CommRing R] namespace Ideal open Polynomial open Polynomial open Submodule section CommRing variable {S : Type*} [CommRing S] {f : R →+* S} {I J : Ideal S} theorem coeff_zero_mem_comap_of_root_mem_of_eval_mem {r : S} (hr : r ∈ I) {p : R[X]} (hp : p.eval₂ f r ∈ I) : p.coeff 0 ∈ I.comap f := by rw [← p.divX_mul_X_add, eval₂_add, eval₂_C, eval₂_mul, eval₂_X] at hp refine mem_comap.mpr ((I.add_mem_iff_right ?_).mp hp) exact I.mul_mem_left _ hr #align ideal.coeff_zero_mem_comap_of_root_mem_of_eval_mem Ideal.coeff_zero_mem_comap_of_root_mem_of_eval_mem theorem coeff_zero_mem_comap_of_root_mem {r : S} (hr : r ∈ I) {p : R[X]} (hp : p.eval₂ f r = 0) : p.coeff 0 ∈ I.comap f := coeff_zero_mem_comap_of_root_mem_of_eval_mem hr (hp.symm ▸ I.zero_mem) #align ideal.coeff_zero_mem_comap_of_root_mem Ideal.coeff_zero_mem_comap_of_root_mem theorem exists_coeff_ne_zero_mem_comap_of_non_zero_divisor_root_mem {r : S} (r_non_zero_divisor : ∀ {x}, x * r = 0 → x = 0) (hr : r ∈ I) {p : R[X]} : p ≠ 0 → p.eval₂ f r = 0 → ∃ i, p.coeff i ≠ 0 ∧ p.coeff i ∈ I.comap f := by refine p.recOnHorner ?_ ?_ ?_ · intro h contradiction · intro p a coeff_eq_zero a_ne_zero _ _ hp refine ⟨0, ?_, coeff_zero_mem_comap_of_root_mem hr hp⟩ simp [coeff_eq_zero, a_ne_zero] · intro p p_nonzero ih _ hp rw [eval₂_mul, eval₂_X] at hp obtain ⟨i, hi, mem⟩ := ih p_nonzero (r_non_zero_divisor hp) refine ⟨i + 1, ?_, ?_⟩ · simp [hi, mem] · simpa [hi] using mem #align ideal.exists_coeff_ne_zero_mem_comap_of_non_zero_divisor_root_mem Ideal.exists_coeff_ne_zero_mem_comap_of_non_zero_divisor_root_mem theorem injective_quotient_le_comap_map (P : Ideal R[X]) : Function.Injective <| Ideal.quotientMap (Ideal.map (Polynomial.mapRingHom (Quotient.mk (P.comap (C : R →+* R[X])))) P) (Polynomial.mapRingHom (Ideal.Quotient.mk (P.comap (C : R →+* R[X])))) le_comap_map := by refine quotientMap_injective' (le_of_eq ?_) rw [comap_map_of_surjective (mapRingHom (Ideal.Quotient.mk (P.comap (C : R →+* R[X])))) (map_surjective (Ideal.Quotient.mk (P.comap (C : R →+* R[X]))) Ideal.Quotient.mk_surjective)] refine le_antisymm (sup_le le_rfl ?_) (le_sup_of_le_left le_rfl) refine fun p hp => polynomial_mem_ideal_of_coeff_mem_ideal P p fun n => Ideal.Quotient.eq_zero_iff_mem.mp ?_ simpa only [coeff_map, coe_mapRingHom] using ext_iff.mp (Ideal.mem_bot.mp (mem_comap.mp hp)) n #align ideal.injective_quotient_le_comap_map Ideal.injective_quotient_le_comap_map theorem quotient_mk_maps_eq (P : Ideal R[X]) : ((Quotient.mk (map (mapRingHom (Quotient.mk (P.comap (C : R →+* R[X])))) P)).comp C).comp (Quotient.mk (P.comap (C : R →+* R[X]))) = (Ideal.quotientMap (map (mapRingHom (Quotient.mk (P.comap (C : R →+* R[X])))) P) (mapRingHom (Quotient.mk (P.comap (C : R →+* R[X])))) le_comap_map).comp ((Quotient.mk P).comp C) := by refine RingHom.ext fun x => ?_ repeat' rw [RingHom.coe_comp, Function.comp_apply] rw [quotientMap_mk, coe_mapRingHom, map_C] #align ideal.quotient_mk_maps_eq Ideal.quotient_mk_maps_eq theorem exists_nonzero_mem_of_ne_bot {P : Ideal R[X]} (Pb : P ≠ ⊥) (hP : ∀ x : R, C x ∈ P → x = 0) : ∃ p : R[X], p ∈ P ∧ Polynomial.map (Quotient.mk (P.comap (C : R →+* R[X]))) p ≠ 0 := by obtain ⟨m, hm⟩ := Submodule.nonzero_mem_of_bot_lt (bot_lt_iff_ne_bot.mpr Pb) refine ⟨m, Submodule.coe_mem m, fun pp0 => hm (Submodule.coe_eq_zero.mp ?_)⟩ refine (injective_iff_map_eq_zero (Polynomial.mapRingHom (Ideal.Quotient.mk (P.comap (C : R →+* R[X]))))).mp ?_ _ pp0 refine map_injective _ ((Ideal.Quotient.mk (P.comap C)).injective_iff_ker_eq_bot.mpr ?_) rw [mk_ker] exact (Submodule.eq_bot_iff _).mpr fun x hx => hP x (mem_comap.mp hx) #align ideal.exists_nonzero_mem_of_ne_bot Ideal.exists_nonzero_mem_of_ne_bot variable {p : Ideal R} {P : Ideal S}
Mathlib/RingTheory/Ideal/Over.lean
139
149
theorem comap_eq_of_scalar_tower_quotient [Algebra R S] [Algebra (R ⧸ p) (S ⧸ P)] [IsScalarTower R (R ⧸ p) (S ⧸ P)] (h : Function.Injective (algebraMap (R ⧸ p) (S ⧸ P))) : comap (algebraMap R S) P = p := by
ext x rw [mem_comap, ← Quotient.eq_zero_iff_mem, ← Quotient.eq_zero_iff_mem, Quotient.mk_algebraMap, IsScalarTower.algebraMap_apply R (R ⧸ p) (S ⧸ P), Quotient.algebraMap_eq] constructor · intro hx exact (injective_iff_map_eq_zero (algebraMap (R ⧸ p) (S ⧸ P))).mp h _ hx · intro hx rw [hx, RingHom.map_zero]
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
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
426
428
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]
import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Combinatorics.Additive.AP.Three.Defs import Mathlib.Combinatorics.Pigeonhole import Mathlib.Data.Complex.ExponentialBounds #align_import combinatorics.additive.behrend from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" open Nat hiding log open Finset Metric Real open scoped Pointwise lemma threeAPFree_frontier {𝕜 E : Type*} [LinearOrderedField 𝕜] [TopologicalSpace E] [AddCommMonoid E] [Module 𝕜 E] {s : Set E} (hs₀ : IsClosed s) (hs₁ : StrictConvex 𝕜 s) : ThreeAPFree (frontier s) := by intro a ha b hb c hc habc obtain rfl : (1 / 2 : 𝕜) • a + (1 / 2 : 𝕜) • c = b := by rwa [← smul_add, one_div, inv_smul_eq_iff₀ (show (2 : 𝕜) ≠ 0 by norm_num), two_smul] have := hs₁.eq (hs₀.frontier_subset ha) (hs₀.frontier_subset hc) one_half_pos one_half_pos (add_halves _) hb.2 simp [this, ← add_smul] ring_nf simp #align add_salem_spencer_frontier threeAPFree_frontier lemma threeAPFree_sphere {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [StrictConvexSpace ℝ E] (x : E) (r : ℝ) : ThreeAPFree (sphere x r) := by obtain rfl | hr := eq_or_ne r 0 · rw [sphere_zero] exact threeAPFree_singleton _ · convert threeAPFree_frontier isClosed_ball (strictConvex_closedBall ℝ x r) exact (frontier_closedBall _ hr).symm #align add_salem_spencer_sphere threeAPFree_sphere namespace Behrend variable {α β : Type*} {n d k N : ℕ} {x : Fin n → ℕ} def box (n d : ℕ) : Finset (Fin n → ℕ) := Fintype.piFinset fun _ => range d #align behrend.box Behrend.box theorem mem_box : x ∈ box n d ↔ ∀ i, x i < d := by simp only [box, Fintype.mem_piFinset, mem_range] #align behrend.mem_box Behrend.mem_box @[simp] theorem card_box : (box n d).card = d ^ n := by simp [box] #align behrend.card_box Behrend.card_box @[simp] theorem box_zero : box (n + 1) 0 = ∅ := by simp [box] #align behrend.box_zero Behrend.box_zero def sphere (n d k : ℕ) : Finset (Fin n → ℕ) := (box n d).filter fun x => ∑ i, x i ^ 2 = k #align behrend.sphere Behrend.sphere theorem sphere_zero_subset : sphere n d 0 ⊆ 0 := fun x => by simp [sphere, Function.funext_iff] #align behrend.sphere_zero_subset Behrend.sphere_zero_subset @[simp] theorem sphere_zero_right (n k : ℕ) : sphere (n + 1) 0 k = ∅ := by simp [sphere] #align behrend.sphere_zero_right Behrend.sphere_zero_right theorem sphere_subset_box : sphere n d k ⊆ box n d := filter_subset _ _ #align behrend.sphere_subset_box Behrend.sphere_subset_box theorem norm_of_mem_sphere {x : Fin n → ℕ} (hx : x ∈ sphere n d k) : ‖(WithLp.equiv 2 _).symm ((↑) ∘ x : Fin n → ℝ)‖ = √↑k := by rw [EuclideanSpace.norm_eq] dsimp simp_rw [abs_cast, ← cast_pow, ← cast_sum, (mem_filter.1 hx).2] #align behrend.norm_of_mem_sphere Behrend.norm_of_mem_sphere theorem sphere_subset_preimage_metric_sphere : (sphere n d k : Set (Fin n → ℕ)) ⊆ (fun x : Fin n → ℕ => (WithLp.equiv 2 _).symm ((↑) ∘ x : Fin n → ℝ)) ⁻¹' Metric.sphere (0 : PiLp 2 fun _ : Fin n => ℝ) (√↑k) := fun x hx => by rw [Set.mem_preimage, mem_sphere_zero_iff_norm, norm_of_mem_sphere hx] #align behrend.sphere_subset_preimage_metric_sphere Behrend.sphere_subset_preimage_metric_sphere @[simps] def map (d : ℕ) : (Fin n → ℕ) →+ ℕ where toFun a := ∑ i, a i * d ^ (i : ℕ) map_zero' := by simp_rw [Pi.zero_apply, zero_mul, sum_const_zero] map_add' a b := by simp_rw [Pi.add_apply, add_mul, sum_add_distrib] #align behrend.map Behrend.map -- @[simp] -- Porting note (#10618): simp can prove this theorem map_zero (d : ℕ) (a : Fin 0 → ℕ) : map d a = 0 := by simp [map] #align behrend.map_zero Behrend.map_zero theorem map_succ (a : Fin (n + 1) → ℕ) : map d a = a 0 + (∑ x : Fin n, a x.succ * d ^ (x : ℕ)) * d := by simp [map, Fin.sum_univ_succ, _root_.pow_succ, ← mul_assoc, ← sum_mul] #align behrend.map_succ Behrend.map_succ theorem map_succ' (a : Fin (n + 1) → ℕ) : map d a = a 0 + map d (a ∘ Fin.succ) * d := map_succ _ #align behrend.map_succ' Behrend.map_succ' theorem map_monotone (d : ℕ) : Monotone (map d : (Fin n → ℕ) → ℕ) := fun x y h => by dsimp; exact sum_le_sum fun i _ => Nat.mul_le_mul_right _ <| h i #align behrend.map_monotone Behrend.map_monotone theorem map_mod (a : Fin n.succ → ℕ) : map d a % d = a 0 % d := by rw [map_succ, Nat.add_mul_mod_self_right] #align behrend.map_mod Behrend.map_mod theorem map_eq_iff {x₁ x₂ : Fin n.succ → ℕ} (hx₁ : ∀ i, x₁ i < d) (hx₂ : ∀ i, x₂ i < d) : map d x₁ = map d x₂ ↔ x₁ 0 = x₂ 0 ∧ map d (x₁ ∘ Fin.succ) = map d (x₂ ∘ Fin.succ) := by refine ⟨fun h => ?_, fun h => by rw [map_succ', map_succ', h.1, h.2]⟩ have : x₁ 0 = x₂ 0 := by rw [← mod_eq_of_lt (hx₁ _), ← map_mod, ← mod_eq_of_lt (hx₂ _), ← map_mod, h] rw [map_succ, map_succ, this, add_right_inj, mul_eq_mul_right_iff] at h exact ⟨this, h.resolve_right (pos_of_gt (hx₁ 0)).ne'⟩ #align behrend.map_eq_iff Behrend.map_eq_iff theorem map_injOn : {x : Fin n → ℕ | ∀ i, x i < d}.InjOn (map d) := by intro x₁ hx₁ x₂ hx₂ h induction' n with n ih · simp [eq_iff_true_of_subsingleton] rw [forall_const] at ih ext i have x := (map_eq_iff hx₁ hx₂).1 h refine Fin.cases x.1 (congr_fun <| ih (fun _ => ?_) (fun _ => ?_) x.2) i · exact hx₁ _ · exact hx₂ _ #align behrend.map_inj_on Behrend.map_injOn theorem map_le_of_mem_box (hx : x ∈ box n d) : map (2 * d - 1) x ≤ ∑ i : Fin n, (d - 1) * (2 * d - 1) ^ (i : ℕ) := map_monotone (2 * d - 1) fun _ => Nat.le_sub_one_of_lt <| mem_box.1 hx _ #align behrend.map_le_of_mem_box Behrend.map_le_of_mem_box nonrec theorem threeAPFree_sphere : ThreeAPFree (sphere n d k : Set (Fin n → ℕ)) := by set f : (Fin n → ℕ) →+ EuclideanSpace ℝ (Fin n) := { toFun := fun f => ((↑) : ℕ → ℝ) ∘ f map_zero' := funext fun _ => cast_zero map_add' := fun _ _ => funext fun _ => cast_add _ _ } refine ThreeAPFree.of_image (AddMonoidHomClass.isAddFreimanHom f (Set.mapsTo_image _ _)) cast_injective.comp_left.injOn (Set.subset_univ _) ?_ refine (threeAPFree_sphere 0 (√↑k)).mono (Set.image_subset_iff.2 fun x => ?_) rw [Set.mem_preimage, mem_sphere_zero_iff_norm] exact norm_of_mem_sphere #align behrend.add_salem_spencer_sphere Behrend.threeAPFree_sphere theorem threeAPFree_image_sphere : ThreeAPFree ((sphere n d k).image (map (2 * d - 1)) : Set ℕ) := by rw [coe_image] apply ThreeAPFree.image' (α := Fin n → ℕ) (β := ℕ) (s := sphere n d k) (map (2 * d - 1)) (map_injOn.mono _) threeAPFree_sphere · rw [Set.add_subset_iff] rintro a ha b hb i have hai := mem_box.1 (sphere_subset_box ha) i have hbi := mem_box.1 (sphere_subset_box hb) i rw [lt_tsub_iff_right, ← succ_le_iff, two_mul] exact (add_add_add_comm _ _ 1 1).trans_le (_root_.add_le_add hai hbi) · exact x #align behrend.add_salem_spencer_image_sphere Behrend.threeAPFree_image_sphere theorem sum_sq_le_of_mem_box (hx : x ∈ box n d) : ∑ i : Fin n, x i ^ 2 ≤ n * (d - 1) ^ 2 := by rw [mem_box] at hx have : ∀ i, x i ^ 2 ≤ (d - 1) ^ 2 := fun i => Nat.pow_le_pow_left (Nat.le_sub_one_of_lt (hx i)) _ exact (sum_le_card_nsmul univ _ _ fun i _ => this i).trans (by rw [card_fin, smul_eq_mul]) #align behrend.sum_sq_le_of_mem_box Behrend.sum_sq_le_of_mem_box theorem sum_eq : (∑ i : Fin n, d * (2 * d + 1) ^ (i : ℕ)) = ((2 * d + 1) ^ n - 1) / 2 := by refine (Nat.div_eq_of_eq_mul_left zero_lt_two ?_).symm rw [← sum_range fun i => d * (2 * d + 1) ^ (i : ℕ), ← mul_sum, mul_right_comm, mul_comm d, ← geom_sum_mul_add, add_tsub_cancel_right, mul_comm] #align behrend.sum_eq Behrend.sum_eq theorem sum_lt : (∑ i : Fin n, d * (2 * d + 1) ^ (i : ℕ)) < (2 * d + 1) ^ n := sum_eq.trans_lt <| (Nat.div_le_self _ 2).trans_lt <| pred_lt (pow_pos (succ_pos _) _).ne' #align behrend.sum_lt Behrend.sum_lt theorem card_sphere_le_rothNumberNat (n d k : ℕ) : (sphere n d k).card ≤ rothNumberNat ((2 * d - 1) ^ n) := by cases n · dsimp; refine (card_le_univ _).trans_eq ?_; rfl cases d · simp apply threeAPFree_image_sphere.le_rothNumberNat _ _ (card_image_of_injOn _) · intro; assumption · simp only [subset_iff, mem_image, and_imp, forall_exists_index, mem_range, forall_apply_eq_imp_iff₂, sphere, mem_filter] rintro _ x hx _ rfl exact (map_le_of_mem_box hx).trans_lt sum_lt apply map_injOn.mono fun x => ?_ · intro; assumption simp only [mem_coe, sphere, mem_filter, mem_box, and_imp, two_mul] exact fun h _ i => (h i).trans_le le_self_add #align behrend.card_sphere_le_roth_number_nat Behrend.card_sphere_le_rothNumberNat theorem exists_large_sphere_aux (n d : ℕ) : ∃ k ∈ range (n * (d - 1) ^ 2 + 1), (↑(d ^ n) / ((n * (d - 1) ^ 2 :) + 1) : ℝ) ≤ (sphere n d k).card := by refine exists_le_card_fiber_of_nsmul_le_card_of_maps_to (fun x hx => ?_) nonempty_range_succ ?_ · rw [mem_range, Nat.lt_succ_iff] exact sum_sq_le_of_mem_box hx · rw [card_range, _root_.nsmul_eq_mul, mul_div_assoc', cast_add_one, mul_div_cancel_left₀, card_box] exact (cast_add_one_pos _).ne' #align behrend.exists_large_sphere_aux Behrend.exists_large_sphere_aux theorem exists_large_sphere (n d : ℕ) : ∃ k, ((d ^ n :) / (n * d ^ 2 :) : ℝ) ≤ (sphere n d k).card := by obtain ⟨k, -, hk⟩ := exists_large_sphere_aux n d refine ⟨k, ?_⟩ obtain rfl | hn := n.eq_zero_or_pos · simp obtain rfl | hd := d.eq_zero_or_pos · simp refine (div_le_div_of_nonneg_left ?_ ?_ ?_).trans hk · exact cast_nonneg _ · exact cast_add_one_pos _ simp only [← le_sub_iff_add_le', cast_mul, ← mul_sub, cast_pow, cast_sub hd, sub_sq, one_pow, cast_one, mul_one, sub_add, sub_sub_self] apply one_le_mul_of_one_le_of_one_le · rwa [one_le_cast] rw [_root_.le_sub_iff_add_le] set_option tactic.skipAssignedInstances false in norm_num exact one_le_cast.2 hd #align behrend.exists_large_sphere Behrend.exists_large_sphere theorem bound_aux' (n d : ℕ) : ((d ^ n :) / (n * d ^ 2 :) : ℝ) ≤ rothNumberNat ((2 * d - 1) ^ n) := let ⟨_, h⟩ := exists_large_sphere n d h.trans <| cast_le.2 <| card_sphere_le_rothNumberNat _ _ _ #align behrend.bound_aux' Behrend.bound_aux'
Mathlib/Combinatorics/Additive/AP/Three/Behrend.lean
299
303
theorem bound_aux (hd : d ≠ 0) (hn : 2 ≤ n) : (d ^ (n - 2 :) / n : ℝ) ≤ rothNumberNat ((2 * d - 1) ^ n) := by
convert bound_aux' n d using 1 rw [cast_mul, cast_pow, mul_comm, ← div_div, pow_sub₀ _ _ hn, ← div_eq_mul_inv, cast_pow] rwa [cast_ne_zero]
import Mathlib.Algebra.Homology.ShortComplex.ModuleCat import Mathlib.RepresentationTheory.GroupCohomology.Basic import Mathlib.RepresentationTheory.Invariants universe v u noncomputable section open CategoryTheory Limits Representation variable {k G : Type u} [CommRing k] [Group G] (A : Rep k G) namespace groupCohomology section IsCocycle section variable {G A : Type*} [Mul G] [AddCommGroup A] [SMul G A] def IsOneCocycle (f : G → A) : Prop := ∀ g h : G, f (g * h) = g • f h + f g def IsTwoCocycle (f : G × G → A) : Prop := ∀ g h j : G, f (g * h, j) + f (g, h) = g • (f (h, j)) + f (g, h * j) end section variable {G A : Type*} [Monoid G] [AddCommGroup A] [MulAction G A] theorem map_one_of_isOneCocycle {f : G → A} (hf : IsOneCocycle f) : f 1 = 0 := by simpa only [mul_one, one_smul, self_eq_add_right] using hf 1 1
Mathlib/RepresentationTheory/GroupCohomology/LowDegree.lean
405
407
theorem map_one_fst_of_isTwoCocycle {f : G × G → A} (hf : IsTwoCocycle f) (g : G) : f (1, g) = f (1, 1) := by
simpa only [one_smul, one_mul, mul_one, add_right_inj] using (hf 1 1 g).symm
import Mathlib.Data.Nat.Factorial.Basic import Mathlib.Order.Monotone.Basic #align_import data.nat.choose.basic from "leanprover-community/mathlib"@"2f3994e1b117b1e1da49bcfb67334f33460c3ce4" open Nat namespace Nat def choose : ℕ → ℕ → ℕ | _, 0 => 1 | 0, _ + 1 => 0 | n + 1, k + 1 => choose n k + choose n (k + 1) #align nat.choose Nat.choose @[simp] theorem choose_zero_right (n : ℕ) : choose n 0 = 1 := by cases n <;> rfl #align nat.choose_zero_right Nat.choose_zero_right @[simp] theorem choose_zero_succ (k : ℕ) : choose 0 (succ k) = 0 := rfl #align nat.choose_zero_succ Nat.choose_zero_succ theorem choose_succ_succ (n k : ℕ) : choose (succ n) (succ k) = choose n k + choose n (succ k) := rfl #align nat.choose_succ_succ Nat.choose_succ_succ theorem choose_succ_succ' (n k : ℕ) : choose (n + 1) (k + 1) = choose n k + choose n (k + 1) := rfl theorem choose_eq_zero_of_lt : ∀ {n k}, n < k → choose n k = 0 | _, 0, hk => absurd hk (Nat.not_lt_zero _) | 0, k + 1, _ => choose_zero_succ _ | n + 1, k + 1, hk => by have hnk : n < k := lt_of_succ_lt_succ hk have hnk1 : n < k + 1 := lt_of_succ_lt hk rw [choose_succ_succ, choose_eq_zero_of_lt hnk, choose_eq_zero_of_lt hnk1] #align nat.choose_eq_zero_of_lt Nat.choose_eq_zero_of_lt @[simp] theorem choose_self (n : ℕ) : choose n n = 1 := by induction n <;> simp [*, choose, choose_eq_zero_of_lt (lt_succ_self _)] #align nat.choose_self Nat.choose_self @[simp] theorem choose_succ_self (n : ℕ) : choose n (succ n) = 0 := choose_eq_zero_of_lt (lt_succ_self _) #align nat.choose_succ_self Nat.choose_succ_self @[simp] lemma choose_one_right (n : ℕ) : choose n 1 = n := by induction n <;> simp [*, choose, Nat.add_comm] #align nat.choose_one_right Nat.choose_one_right -- The `n+1`-st triangle number is `n` more than the `n`-th triangle number theorem triangle_succ (n : ℕ) : (n + 1) * (n + 1 - 1) / 2 = n * (n - 1) / 2 + n := by rw [← add_mul_div_left, Nat.mul_comm 2 n, ← Nat.mul_add, Nat.add_sub_cancel, Nat.mul_comm] cases n <;> rfl; apply zero_lt_succ #align nat.triangle_succ Nat.triangle_succ theorem choose_two_right (n : ℕ) : choose n 2 = n * (n - 1) / 2 := by induction' n with n ih · simp · rw [triangle_succ n, choose, ih] simp [Nat.add_comm] #align nat.choose_two_right Nat.choose_two_right theorem choose_pos : ∀ {n k}, k ≤ n → 0 < choose n k | 0, _, hk => by rw [Nat.eq_zero_of_le_zero hk]; decide | n + 1, 0, _ => by simp | n + 1, k + 1, hk => Nat.add_pos_left (choose_pos (le_of_succ_le_succ hk)) _ #align nat.choose_pos Nat.choose_pos theorem choose_eq_zero_iff {n k : ℕ} : n.choose k = 0 ↔ n < k := ⟨fun h => lt_of_not_ge (mt Nat.choose_pos h.symm.not_lt), Nat.choose_eq_zero_of_lt⟩ #align nat.choose_eq_zero_iff Nat.choose_eq_zero_iff theorem succ_mul_choose_eq : ∀ n k, succ n * choose n k = choose (succ n) (succ k) * succ k | 0, 0 => by decide | 0, k + 1 => by simp [choose] | n + 1, 0 => by simp [choose, mul_succ, succ_eq_add_one, Nat.add_comm] | n + 1, k + 1 => by rw [choose_succ_succ (succ n) (succ k), Nat.add_mul, ← succ_mul_choose_eq n, mul_succ, ← succ_mul_choose_eq n, Nat.add_right_comm, ← Nat.mul_add, ← choose_succ_succ, ← succ_mul] #align nat.succ_mul_choose_eq Nat.succ_mul_choose_eq theorem choose_mul_factorial_mul_factorial : ∀ {n k}, k ≤ n → choose n k * k ! * (n - k)! = n ! | 0, _, hk => by simp [Nat.eq_zero_of_le_zero hk] | n + 1, 0, _ => by simp | n + 1, succ k, hk => by rcases lt_or_eq_of_le hk with hk₁ | hk₁ · have h : choose n k * k.succ ! * (n - k)! = (k + 1) * n ! := by rw [← choose_mul_factorial_mul_factorial (le_of_succ_le_succ hk)] simp [factorial_succ, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc] have h₁ : (n - k)! = (n - k) * (n - k.succ)! := by rw [← succ_sub_succ, succ_sub (le_of_lt_succ hk₁), factorial_succ] have h₂ : choose n (succ k) * k.succ ! * ((n - k) * (n - k.succ)!) = (n - k) * n ! := by rw [← choose_mul_factorial_mul_factorial (le_of_lt_succ hk₁)] simp [factorial_succ, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc] have h₃ : k * n ! ≤ n * n ! := Nat.mul_le_mul_right _ (le_of_succ_le_succ hk) rw [choose_succ_succ, Nat.add_mul, Nat.add_mul, succ_sub_succ, h, h₁, h₂, Nat.add_mul, Nat.mul_sub_right_distrib, factorial_succ, ← Nat.add_sub_assoc h₃, Nat.add_assoc, ← Nat.add_mul, Nat.add_sub_cancel_left, Nat.add_comm] · rw [hk₁]; simp [hk₁, Nat.mul_comm, choose, Nat.sub_self] #align nat.choose_mul_factorial_mul_factorial Nat.choose_mul_factorial_mul_factorial theorem choose_mul {n k s : ℕ} (hkn : k ≤ n) (hsk : s ≤ k) : n.choose k * k.choose s = n.choose s * (n - s).choose (k - s) := have h : 0 < (n - k)! * (k - s)! * s ! := by apply_rules [factorial_pos, Nat.mul_pos] Nat.mul_right_cancel h <| calc n.choose k * k.choose s * ((n - k)! * (k - s)! * s !) = n.choose k * (k.choose s * s ! * (k - s)!) * (n - k)! := by rw [Nat.mul_assoc, Nat.mul_assoc, Nat.mul_assoc, Nat.mul_assoc _ s !, Nat.mul_assoc, Nat.mul_comm (n - k)!, Nat.mul_comm s !] _ = n ! := by rw [choose_mul_factorial_mul_factorial hsk, choose_mul_factorial_mul_factorial hkn] _ = n.choose s * s ! * ((n - s).choose (k - s) * (k - s)! * (n - s - (k - s))!) := by rw [choose_mul_factorial_mul_factorial (Nat.sub_le_sub_right hkn _), choose_mul_factorial_mul_factorial (hsk.trans hkn)] _ = n.choose s * (n - s).choose (k - s) * ((n - k)! * (k - s)! * s !) := by rw [Nat.sub_sub_sub_cancel_right hsk, Nat.mul_assoc, Nat.mul_left_comm s !, Nat.mul_assoc, Nat.mul_comm (k - s)!, Nat.mul_comm s !, Nat.mul_right_comm, ← Nat.mul_assoc] #align nat.choose_mul Nat.choose_mul theorem choose_eq_factorial_div_factorial {n k : ℕ} (hk : k ≤ n) : choose n k = n ! / (k ! * (n - k)!) := by rw [← choose_mul_factorial_mul_factorial hk, Nat.mul_assoc] exact (mul_div_left _ (Nat.mul_pos (factorial_pos _) (factorial_pos _))).symm #align nat.choose_eq_factorial_div_factorial Nat.choose_eq_factorial_div_factorial theorem add_choose (i j : ℕ) : (i + j).choose j = (i + j)! / (i ! * j !) := by rw [choose_eq_factorial_div_factorial (Nat.le_add_left j i), Nat.add_sub_cancel_right, Nat.mul_comm] #align nat.add_choose Nat.add_choose theorem add_choose_mul_factorial_mul_factorial (i j : ℕ) : (i + j).choose j * i ! * j ! = (i + j)! := by rw [← choose_mul_factorial_mul_factorial (Nat.le_add_left _ _), Nat.add_sub_cancel_right, Nat.mul_right_comm] #align nat.add_choose_mul_factorial_mul_factorial Nat.add_choose_mul_factorial_mul_factorial theorem factorial_mul_factorial_dvd_factorial {n k : ℕ} (hk : k ≤ n) : k ! * (n - k)! ∣ n ! := by rw [← choose_mul_factorial_mul_factorial hk, Nat.mul_assoc]; exact Nat.dvd_mul_left _ _ #align nat.factorial_mul_factorial_dvd_factorial Nat.factorial_mul_factorial_dvd_factorial theorem factorial_mul_factorial_dvd_factorial_add (i j : ℕ) : i ! * j ! ∣ (i + j)! := by suffices i ! * (i + j - i) ! ∣ (i + j)! by rwa [Nat.add_sub_cancel_left i j] at this exact factorial_mul_factorial_dvd_factorial (Nat.le_add_right _ _) #align nat.factorial_mul_factorial_dvd_factorial_add Nat.factorial_mul_factorial_dvd_factorial_add @[simp] theorem choose_symm {n k : ℕ} (hk : k ≤ n) : choose n (n - k) = choose n k := by rw [choose_eq_factorial_div_factorial hk, choose_eq_factorial_div_factorial (Nat.sub_le _ _), Nat.sub_sub_self hk, Nat.mul_comm] #align nat.choose_symm Nat.choose_symm theorem choose_symm_of_eq_add {n a b : ℕ} (h : n = a + b) : Nat.choose n a = Nat.choose n b := by suffices choose n (n - b) = choose n b by rw [h, Nat.add_sub_cancel_right] at this; rwa [h] exact choose_symm (h ▸ le_add_left _ _) #align nat.choose_symm_of_eq_add Nat.choose_symm_of_eq_add theorem choose_symm_add {a b : ℕ} : choose (a + b) a = choose (a + b) b := choose_symm_of_eq_add rfl #align nat.choose_symm_add Nat.choose_symm_add theorem choose_symm_half (m : ℕ) : choose (2 * m + 1) (m + 1) = choose (2 * m + 1) m := by apply choose_symm_of_eq_add rw [Nat.add_comm m 1, Nat.add_assoc 1 m m, Nat.add_comm (2 * m) 1, Nat.two_mul m] #align nat.choose_symm_half Nat.choose_symm_half theorem choose_succ_right_eq (n k : ℕ) : choose n (k + 1) * (k + 1) = choose n k * (n - k) := by have e : (n + 1) * choose n k = choose n (k + 1) * (k + 1) + choose n k * (k + 1) := by rw [← Nat.add_mul, Nat.add_comm (choose _ _), ← choose_succ_succ, succ_mul_choose_eq] rw [← Nat.sub_eq_of_eq_add e, Nat.mul_comm, ← Nat.mul_sub_left_distrib, Nat.add_sub_add_right] #align nat.choose_succ_right_eq Nat.choose_succ_right_eq @[simp] theorem choose_succ_self_right : ∀ n : ℕ, (n + 1).choose n = n + 1 | 0 => rfl | n + 1 => by rw [choose_succ_succ, choose_succ_self_right n, choose_self] #align nat.choose_succ_self_right Nat.choose_succ_self_right theorem choose_mul_succ_eq (n k : ℕ) : n.choose k * (n + 1) = (n + 1).choose k * (n + 1 - k) := by cases k with | zero => simp | succ k => obtain hk | hk := le_or_lt (k + 1) (n + 1) · rw [choose_succ_succ, Nat.add_mul, succ_sub_succ, ← choose_succ_right_eq, ← succ_sub_succ, Nat.mul_sub_left_distrib, Nat.add_sub_cancel' (Nat.mul_le_mul_left _ hk)] · rw [choose_eq_zero_of_lt hk, choose_eq_zero_of_lt (n.lt_succ_self.trans hk), Nat.zero_mul, Nat.zero_mul] #align nat.choose_mul_succ_eq Nat.choose_mul_succ_eq theorem ascFactorial_eq_factorial_mul_choose (n k : ℕ) : (n + 1).ascFactorial k = k ! * (n + k).choose k := by rw [Nat.mul_comm] apply Nat.mul_right_cancel (n + k - k).factorial_pos rw [choose_mul_factorial_mul_factorial <| Nat.le_add_left k n, Nat.add_sub_cancel_right, ← factorial_mul_ascFactorial, Nat.mul_comm] #align nat.asc_factorial_eq_factorial_mul_choose Nat.ascFactorial_eq_factorial_mul_choose theorem ascFactorial_eq_factorial_mul_choose' (n k : ℕ) : n.ascFactorial k = k ! * (n + k - 1).choose k := by cases n · cases k · rw [ascFactorial_zero, choose_zero_right, factorial_zero, Nat.mul_one] · simp only [zero_ascFactorial, zero_eq, Nat.zero_add, succ_sub_succ_eq_sub, Nat.le_zero_eq, Nat.sub_zero, choose_succ_self, Nat.mul_zero] rw [ascFactorial_eq_factorial_mul_choose] simp only [succ_add_sub_one] theorem factorial_dvd_ascFactorial (n k : ℕ) : k ! ∣ n.ascFactorial k := ⟨(n + k - 1).choose k, ascFactorial_eq_factorial_mul_choose' _ _⟩ #align nat.factorial_dvd_asc_factorial Nat.factorial_dvd_ascFactorial theorem choose_eq_asc_factorial_div_factorial (n k : ℕ) : (n + k).choose k = (n + 1).ascFactorial k / k ! := by apply Nat.mul_left_cancel k.factorial_pos rw [← ascFactorial_eq_factorial_mul_choose] exact (Nat.mul_div_cancel' <| factorial_dvd_ascFactorial _ _).symm #align nat.choose_eq_asc_factorial_div_factorial Nat.choose_eq_asc_factorial_div_factorial theorem choose_eq_asc_factorial_div_factorial' (n k : ℕ) : (n + k - 1).choose k = n.ascFactorial k / k ! := Nat.eq_div_of_mul_eq_right k.factorial_ne_zero (ascFactorial_eq_factorial_mul_choose' _ _).symm theorem descFactorial_eq_factorial_mul_choose (n k : ℕ) : n.descFactorial k = k ! * n.choose k := by obtain h | h := Nat.lt_or_ge n k · rw [descFactorial_eq_zero_iff_lt.2 h, choose_eq_zero_of_lt h, Nat.mul_zero] rw [Nat.mul_comm] apply Nat.mul_right_cancel (n - k).factorial_pos rw [choose_mul_factorial_mul_factorial h, ← factorial_mul_descFactorial h, Nat.mul_comm] #align nat.desc_factorial_eq_factorial_mul_choose Nat.descFactorial_eq_factorial_mul_choose theorem factorial_dvd_descFactorial (n k : ℕ) : k ! ∣ n.descFactorial k := ⟨n.choose k, descFactorial_eq_factorial_mul_choose _ _⟩ #align nat.factorial_dvd_desc_factorial Nat.factorial_dvd_descFactorial theorem choose_eq_descFactorial_div_factorial (n k : ℕ) : n.choose k = n.descFactorial k / k ! := Nat.eq_div_of_mul_eq_right k.factorial_ne_zero (descFactorial_eq_factorial_mul_choose _ _).symm #align nat.choose_eq_desc_factorial_div_factorial Nat.choose_eq_descFactorial_div_factorial def fast_choose n k := Nat.descFactorial n k / Nat.factorial k @[csimp] lemma choose_eq_fast_choose : Nat.choose = fast_choose := funext (fun _ => funext (Nat.choose_eq_descFactorial_div_factorial _)) theorem choose_le_succ_of_lt_half_left {r n : ℕ} (h : r < n / 2) : choose n r ≤ choose n (r + 1) := by refine Nat.le_of_mul_le_mul_right ?_ (Nat.sub_pos_of_lt (h.trans_le (n.div_le_self 2))) rw [← choose_succ_right_eq] apply Nat.mul_le_mul_left rw [← Nat.lt_iff_add_one_le, Nat.lt_sub_iff_add_lt, ← Nat.mul_two] exact lt_of_lt_of_le (Nat.mul_lt_mul_of_pos_right h Nat.zero_lt_two) (n.div_mul_le_self 2) #align nat.choose_le_succ_of_lt_half_left Nat.choose_le_succ_of_lt_half_left private theorem choose_le_middle_of_le_half_left {n r : ℕ} (hr : r ≤ n / 2) : choose n r ≤ choose n (n / 2) := decreasingInduction (fun _ k a => (eq_or_lt_of_le a).elim (fun t => t.symm ▸ le_rfl) fun h => (choose_le_succ_of_lt_half_left h).trans (k h)) hr (fun _ => le_rfl) hr theorem choose_le_middle (r n : ℕ) : choose n r ≤ choose n (n / 2) := by cases' le_or_gt r n with b b · rcases le_or_lt r (n / 2) with a | h · apply choose_le_middle_of_le_half_left a · rw [← choose_symm b] apply choose_le_middle_of_le_half_left rw [div_lt_iff_lt_mul' Nat.zero_lt_two] at h rw [le_div_iff_mul_le' Nat.zero_lt_two, Nat.mul_sub_right_distrib, Nat.sub_le_iff_le_add, ← Nat.sub_le_iff_le_add', Nat.mul_two, Nat.add_sub_cancel] exact le_of_lt h · rw [choose_eq_zero_of_lt b] apply zero_le #align nat.choose_le_middle Nat.choose_le_middle theorem choose_le_succ (a c : ℕ) : choose a c ≤ choose a.succ c := by cases c <;> simp [Nat.choose_succ_succ] #align nat.choose_le_succ Nat.choose_le_succ theorem choose_le_add (a b c : ℕ) : choose a c ≤ choose (a + b) c := by induction' b with b_n b_ih · simp exact le_trans b_ih (choose_le_succ (a + b_n) c) #align nat.choose_le_add Nat.choose_le_add theorem choose_le_choose {a b : ℕ} (c : ℕ) (h : a ≤ b) : choose a c ≤ choose b c := Nat.add_sub_cancel' h ▸ choose_le_add a (b - a) c #align nat.choose_le_choose Nat.choose_le_choose theorem choose_mono (b : ℕ) : Monotone fun a => choose a b := fun _ _ => choose_le_choose b #align nat.choose_mono Nat.choose_mono def multichoose : ℕ → ℕ → ℕ | _, 0 => 1 | 0, _ + 1 => 0 | n + 1, k + 1 => multichoose n (k + 1) + multichoose (n + 1) k #align nat.multichoose Nat.multichoose @[simp] theorem multichoose_zero_right (n : ℕ) : multichoose n 0 = 1 := by cases n <;> simp [multichoose] #align nat.multichoose_zero_right Nat.multichoose_zero_right @[simp] theorem multichoose_zero_succ (k : ℕ) : multichoose 0 (k + 1) = 0 := by simp [multichoose] #align nat.multichoose_zero_succ Nat.multichoose_zero_succ theorem multichoose_succ_succ (n k : ℕ) : multichoose (n + 1) (k + 1) = multichoose n (k + 1) + multichoose (n + 1) k := by simp [multichoose] #align nat.multichoose_succ_succ Nat.multichoose_succ_succ @[simp] theorem multichoose_one (k : ℕ) : multichoose 1 k = 1 := by induction' k with k IH; · simp simp [multichoose_succ_succ 0 k, IH] #align nat.multichoose_one Nat.multichoose_one @[simp] theorem multichoose_two (k : ℕ) : multichoose 2 k = k + 1 := by induction' k with k IH; · simp rw [multichoose, IH] simp [Nat.add_comm, succ_eq_add_one] #align nat.multichoose_two Nat.multichoose_two @[simp]
Mathlib/Data/Nat/Choose/Basic.lean
404
406
theorem multichoose_one_right (n : ℕ) : multichoose n 1 = n := by
induction' n with n IH; · simp simp [multichoose_succ_succ n 0, IH]
import Mathlib.Logic.Pairwise import Mathlib.Order.CompleteBooleanAlgebra import Mathlib.Order.Directed import Mathlib.Order.GaloisConnection #align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" open Function Set universe u variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*} namespace Set theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by simp_rw [mem_iUnion] #align set.mem_Union₂ Set.mem_iUnion₂ theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by simp_rw [mem_iInter] #align set.mem_Inter₂ Set.mem_iInter₂ theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i := mem_iUnion.2 ⟨i, ha⟩ #align set.mem_Union_of_mem Set.mem_iUnion_of_mem theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) : a ∈ ⋃ (i) (j), s i j := mem_iUnion₂.2 ⟨i, j, ha⟩ #align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i := mem_iInter.2 h #align set.mem_Inter_of_mem Set.mem_iInter_of_mem theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) : a ∈ ⋂ (i) (j), s i j := mem_iInter₂.2 h #align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) := { instBooleanAlgebraSet with le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩ sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in sInf_le := fun s t t_in a h => h _ t_in iInf_iSup_eq := by intros; ext; simp [Classical.skolem] } instance : OrderTop (Set α) where top := univ le_top := by simp @[congr] theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ := iSup_congr_Prop pq f #align set.Union_congr_Prop Set.iUnion_congr_Prop @[congr] theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ := iInf_congr_Prop pq f #align set.Inter_congr_Prop Set.iInter_congr_Prop theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i := iSup_plift_up _ #align set.Union_plift_up Set.iUnion_plift_up theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i := iSup_plift_down _ #align set.Union_plift_down Set.iUnion_plift_down theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i := iInf_plift_up _ #align set.Inter_plift_up Set.iInter_plift_up theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i := iInf_plift_down _ #align set.Inter_plift_down Set.iInter_plift_down theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ := iSup_eq_if _ #align set.Union_eq_if Set.iUnion_eq_if theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋃ h : p, s h = if h : p then s h else ∅ := iSup_eq_dif _ #align set.Union_eq_dif Set.iUnion_eq_dif theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ := iInf_eq_if _ #align set.Inter_eq_if Set.iInter_eq_if theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋂ h : p, s h = if h : p then s h else univ := _root_.iInf_eq_dif _ #align set.Infi_eq_dif Set.iInf_eq_dif theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β) (w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by have p : x ∈ ⊤ := Set.mem_univ x rw [← w, Set.mem_iUnion] at p simpa using p #align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α) (H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some exact ⟨x, m⟩ #align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty theorem nonempty_of_nonempty_iUnion {s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by obtain ⟨x, hx⟩ := h_Union exact ⟨Classical.choose <| mem_iUnion.mp hx⟩ theorem nonempty_of_nonempty_iUnion_eq_univ {s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι := nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty) theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } := ext fun _ => mem_iUnion.symm #align set.set_of_exists Set.setOf_exists theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } := ext fun _ => mem_iInter.symm #align set.set_of_forall Set.setOf_forall theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t := iSup_le h #align set.Union_subset Set.iUnion_subset theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) : ⋃ (i) (j), s i j ⊆ t := iUnion_subset fun x => iUnion_subset (h x) #align set.Union₂_subset Set.iUnion₂_subset theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i := le_iInf h #align set.subset_Inter Set.subset_iInter theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) : s ⊆ ⋂ (i) (j), t i j := subset_iInter fun x => subset_iInter <| h x #align set.subset_Inter₂ Set.subset_iInter₂ @[simp] theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t := ⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩ #align set.Union_subset_iff Set.iUnion_subset_iff theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} : ⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff] #align set.Union₂_subset_iff Set.iUnion₂_subset_iff @[simp] theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i := le_iInf_iff #align set.subset_Inter_iff Set.subset_iInter_iff -- Porting note (#10618): removing `simp`. `simp` can prove it theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} : (s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff] #align set.subset_Inter₂_iff Set.subset_iInter₂_iff theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i := le_iSup #align set.subset_Union Set.subset_iUnion theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i := iInf_le #align set.Inter_subset Set.iInter_subset theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' := le_iSup₂ i j #align set.subset_Union₂ Set.subset_iUnion₂ theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j := iInf₂_le i j #align set.Inter₂_subset Set.iInter₂_subset theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i := le_iSup_of_le i h #align set.subset_Union_of_subset Set.subset_iUnion_of_subset theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) : ⋂ i, s i ⊆ t := iInf_le_of_le i h #align set.Inter_subset_of_subset Set.iInter_subset_of_subset theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i) (h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j := le_iSup₂_of_le i j h #align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i) (h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t := iInf₂_le_of_le i j h #align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono h #align set.Union_mono Set.iUnion_mono @[gcongr] theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t := iSup_mono h theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j := iSup₂_mono h #align set.Union₂_mono Set.iUnion₂_mono theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i := iInf_mono h #align set.Inter_mono Set.iInter_mono @[gcongr] theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t := iInf_mono h theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j := iInf₂_mono h #align set.Inter₂_mono Set.iInter₂_mono theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono' h #align set.Union_mono' Set.iUnion_mono' theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' := iSup₂_mono' h #align set.Union₂_mono' Set.iUnion₂_mono' theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) : ⋂ i, s i ⊆ ⋂ j, t j := Set.subset_iInter fun j => let ⟨i, hi⟩ := h j iInter_subset_of_subset i hi #align set.Inter_mono' Set.iInter_mono' theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' := subset_iInter₂_iff.2 fun i' j' => let ⟨_, _, hst⟩ := h i' j' (iInter₂_subset _ _).trans hst #align set.Inter₂_mono' Set.iInter₂_mono' theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) : ⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i := iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl #align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) : ⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i := iInter_mono fun _ => subset_iInter fun _ => Subset.rfl #align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂ theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by ext exact mem_iUnion #align set.Union_set_of Set.iUnion_setOf theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by ext exact mem_iInter #align set.Inter_set_of Set.iInter_setOf theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y := h1.iSup_congr h h2 #align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y := h1.iInf_congr h h2 #align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h #align set.Union_congr Set.iUnion_congr lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h #align set.Inter_congr Set.iInter_congr lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋃ (i) (j), s i j = ⋃ (i) (j), t i j := iUnion_congr fun i => iUnion_congr <| h i #align set.Union₂_congr Set.iUnion₂_congr lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋂ (i) (j), s i j = ⋂ (i) (j), t i j := iInter_congr fun i => iInter_congr <| h i #align set.Inter₂_congr Set.iInter₂_congr @[simp] theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ := compl_iSup #align set.compl_Union Set.compl_iUnion theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by simp_rw [compl_iUnion] #align set.compl_Union₂ Set.compl_iUnion₂ @[simp] theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ := compl_iInf #align set.compl_Inter Set.compl_iInter theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by simp_rw [compl_iInter] #align set.compl_Inter₂ Set.compl_iInter₂ -- classical -- complete_boolean_algebra theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by simp only [compl_iInter, compl_compl] #align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl -- classical -- complete_boolean_algebra theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by simp only [compl_iUnion, compl_compl] #align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i := inf_iSup_eq _ _ #align set.inter_Union Set.inter_iUnion theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s := iSup_inf_eq _ _ #align set.Union_inter Set.iUnion_inter theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) : ⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i := iSup_sup_eq #align set.Union_union_distrib Set.iUnion_union_distrib theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) : ⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i := iInf_inf_eq #align set.Inter_inter_distrib Set.iInter_inter_distrib theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i := sup_iSup #align set.union_Union Set.union_iUnion theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s := iSup_sup #align set.Union_union Set.iUnion_union theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i := inf_iInf #align set.inter_Inter Set.inter_iInter theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s := iInf_inf #align set.Inter_inter Set.iInter_inter -- classical theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i := sup_iInf_eq _ _ #align set.union_Inter Set.union_iInter theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t := iInf_sup_eq _ _ #align set.Inter_union Set.iInter_union theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s := iUnion_inter _ _ #align set.Union_diff Set.iUnion_diff theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by rw [diff_eq, compl_iUnion, inter_iInter]; rfl #align set.diff_Union Set.diff_iUnion theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by rw [diff_eq, compl_iInter, inter_iUnion]; rfl #align set.diff_Inter Set.diff_iInter theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i := le_iSup_inf_iSup s t #align set.Union_inter_subset Set.iUnion_inter_subset theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_monotone hs ht #align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_antitone hs ht #align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_monotone hs ht #align set.Inter_union_of_monotone Set.iInter_union_of_monotone theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_antitone hs ht #align set.Inter_union_of_antitone Set.iInter_union_of_antitone theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j := iSup_iInf_le_iInf_iSup (flip s) #align set.Union_Inter_subset Set.iUnion_iInter_subset theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) := iSup_option s #align set.Union_option Set.iUnion_option theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) := iInf_option s #align set.Inter_option Set.iInter_option section variable (p : ι → Prop) [DecidablePred p] theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h := iSup_dite _ _ _ #align set.Union_dite Set.iUnion_dite theorem iUnion_ite (f g : ι → Set α) : ⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i := iUnion_dite _ _ _ #align set.Union_ite Set.iUnion_ite theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h := iInf_dite _ _ _ #align set.Inter_dite Set.iInter_dite theorem iInter_ite (f g : ι → Set α) : ⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i := iInter_dite _ _ _ #align set.Inter_ite Set.iInter_ite end theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)} (hv : (pi univ v).Nonempty) (i : ι) : ((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by classical apply Subset.antisymm · simp [iInter_subset] · intro y y_in simp only [mem_image, mem_iInter, mem_preimage] rcases hv with ⟨z, hz⟩ refine ⟨Function.update z i y, ?_, update_same i y z⟩ rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i] exact ⟨y_in, fun j _ => by simpa using hz j⟩ #align set.image_projection_prod Set.image_projection_prod theorem iInter_false {s : False → Set α} : iInter s = univ := iInf_false #align set.Inter_false Set.iInter_false theorem iUnion_false {s : False → Set α} : iUnion s = ∅ := iSup_false #align set.Union_false Set.iUnion_false @[simp] theorem iInter_true {s : True → Set α} : iInter s = s trivial := iInf_true #align set.Inter_true Set.iInter_true @[simp] theorem iUnion_true {s : True → Set α} : iUnion s = s trivial := iSup_true #align set.Union_true Set.iUnion_true @[simp] theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} : ⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ := iInf_exists #align set.Inter_exists Set.iInter_exists @[simp] theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} : ⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ := iSup_exists #align set.Union_exists Set.iUnion_exists @[simp] theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ := iSup_bot #align set.Union_empty Set.iUnion_empty @[simp] theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ := iInf_top #align set.Inter_univ Set.iInter_univ section variable {s : ι → Set α} @[simp] theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ := iSup_eq_bot #align set.Union_eq_empty Set.iUnion_eq_empty @[simp] theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ := iInf_eq_top #align set.Inter_eq_univ Set.iInter_eq_univ @[simp] theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by simp [nonempty_iff_ne_empty] #align set.nonempty_Union Set.nonempty_iUnion -- Porting note (#10618): removing `simp`. `simp` can prove it
Mathlib/Data/Set/Lattice.lean
677
678
theorem nonempty_biUnion {t : Set α} {s : α → Set β} : (⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by
simp
import Mathlib.Combinatorics.SimpleGraph.Finite import Mathlib.Combinatorics.SimpleGraph.Maps #align_import combinatorics.simple_graph.subgraph from "leanprover-community/mathlib"@"c6ef6387ede9983aee397d442974e61f89dfd87b" universe u v namespace SimpleGraph @[ext] structure Subgraph {V : Type u} (G : SimpleGraph V) where verts : Set V Adj : V → V → Prop adj_sub : ∀ {v w : V}, Adj v w → G.Adj v w edge_vert : ∀ {v w : V}, Adj v w → v ∈ verts symm : Symmetric Adj := by aesop_graph -- Porting note: Originally `by obviously` #align simple_graph.subgraph SimpleGraph.Subgraph initialize_simps_projections SimpleGraph.Subgraph (Adj → adj) variable {ι : Sort*} {V : Type u} {W : Type v} @[simps] protected def singletonSubgraph (G : SimpleGraph V) (v : V) : G.Subgraph where verts := {v} Adj := ⊥ adj_sub := False.elim edge_vert := False.elim symm _ _ := False.elim #align simple_graph.singleton_subgraph SimpleGraph.singletonSubgraph @[simps] def subgraphOfAdj (G : SimpleGraph V) {v w : V} (hvw : G.Adj v w) : G.Subgraph where verts := {v, w} Adj a b := s(v, w) = s(a, b) adj_sub h := by rw [← G.mem_edgeSet, ← h] exact hvw edge_vert {a b} h := by apply_fun fun e ↦ a ∈ e at h simp only [Sym2.mem_iff, true_or, eq_iff_iff, iff_true] at h exact h #align simple_graph.subgraph_of_adj SimpleGraph.subgraphOfAdj namespace Subgraph variable {G : SimpleGraph V} {G₁ G₂ : G.Subgraph} {a b : V} protected theorem loopless (G' : Subgraph G) : Irreflexive G'.Adj := fun v h ↦ G.loopless v (G'.adj_sub h) #align simple_graph.subgraph.loopless SimpleGraph.Subgraph.loopless theorem adj_comm (G' : Subgraph G) (v w : V) : G'.Adj v w ↔ G'.Adj w v := ⟨fun x ↦ G'.symm x, fun x ↦ G'.symm x⟩ #align simple_graph.subgraph.adj_comm SimpleGraph.Subgraph.adj_comm @[symm] theorem adj_symm (G' : Subgraph G) {u v : V} (h : G'.Adj u v) : G'.Adj v u := G'.symm h #align simple_graph.subgraph.adj_symm SimpleGraph.Subgraph.adj_symm protected theorem Adj.symm {G' : Subgraph G} {u v : V} (h : G'.Adj u v) : G'.Adj v u := G'.symm h #align simple_graph.subgraph.adj.symm SimpleGraph.Subgraph.Adj.symm protected theorem Adj.adj_sub {H : G.Subgraph} {u v : V} (h : H.Adj u v) : G.Adj u v := H.adj_sub h #align simple_graph.subgraph.adj.adj_sub SimpleGraph.Subgraph.Adj.adj_sub protected theorem Adj.fst_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ∈ H.verts := H.edge_vert h #align simple_graph.subgraph.adj.fst_mem SimpleGraph.Subgraph.Adj.fst_mem protected theorem Adj.snd_mem {H : G.Subgraph} {u v : V} (h : H.Adj u v) : v ∈ H.verts := h.symm.fst_mem #align simple_graph.subgraph.adj.snd_mem SimpleGraph.Subgraph.Adj.snd_mem protected theorem Adj.ne {H : G.Subgraph} {u v : V} (h : H.Adj u v) : u ≠ v := h.adj_sub.ne #align simple_graph.subgraph.adj.ne SimpleGraph.Subgraph.Adj.ne @[simps] protected def coe (G' : Subgraph G) : SimpleGraph G'.verts where Adj v w := G'.Adj v w symm _ _ h := G'.symm h loopless v h := loopless G v (G'.adj_sub h) #align simple_graph.subgraph.coe SimpleGraph.Subgraph.coe @[simp] theorem coe_adj_sub (G' : Subgraph G) (u v : G'.verts) (h : G'.coe.Adj u v) : G.Adj u v := G'.adj_sub h #align simple_graph.subgraph.coe_adj_sub SimpleGraph.Subgraph.coe_adj_sub -- Given `h : H.Adj u v`, then `h.coe : H.coe.Adj ⟨u, _⟩ ⟨v, _⟩`. protected theorem Adj.coe {H : G.Subgraph} {u v : V} (h : H.Adj u v) : H.coe.Adj ⟨u, H.edge_vert h⟩ ⟨v, H.edge_vert h.symm⟩ := h #align simple_graph.subgraph.adj.coe SimpleGraph.Subgraph.Adj.coe def IsSpanning (G' : Subgraph G) : Prop := ∀ v : V, v ∈ G'.verts #align simple_graph.subgraph.is_spanning SimpleGraph.Subgraph.IsSpanning theorem isSpanning_iff {G' : Subgraph G} : G'.IsSpanning ↔ G'.verts = Set.univ := Set.eq_univ_iff_forall.symm #align simple_graph.subgraph.is_spanning_iff SimpleGraph.Subgraph.isSpanning_iff @[simps] protected def spanningCoe (G' : Subgraph G) : SimpleGraph V where Adj := G'.Adj symm := G'.symm loopless v hv := G.loopless v (G'.adj_sub hv) #align simple_graph.subgraph.spanning_coe SimpleGraph.Subgraph.spanningCoe @[simp] theorem Adj.of_spanningCoe {G' : Subgraph G} {u v : G'.verts} (h : G'.spanningCoe.Adj u v) : G.Adj u v := G'.adj_sub h #align simple_graph.subgraph.adj.of_spanning_coe SimpleGraph.Subgraph.Adj.of_spanningCoe theorem spanningCoe_inj : G₁.spanningCoe = G₂.spanningCoe ↔ G₁.Adj = G₂.Adj := by simp [Subgraph.spanningCoe] #align simple_graph.subgraph.spanning_coe_inj SimpleGraph.Subgraph.spanningCoe_inj @[simps] def spanningCoeEquivCoeOfSpanning (G' : Subgraph G) (h : G'.IsSpanning) : G'.spanningCoe ≃g G'.coe where toFun v := ⟨v, h v⟩ invFun v := v left_inv _ := rfl right_inv _ := rfl map_rel_iff' := Iff.rfl #align simple_graph.subgraph.spanning_coe_equiv_coe_of_spanning SimpleGraph.Subgraph.spanningCoeEquivCoeOfSpanning def IsInduced (G' : Subgraph G) : Prop := ∀ {v w : V}, v ∈ G'.verts → w ∈ G'.verts → G.Adj v w → G'.Adj v w #align simple_graph.subgraph.is_induced SimpleGraph.Subgraph.IsInduced def support (H : Subgraph G) : Set V := Rel.dom H.Adj #align simple_graph.subgraph.support SimpleGraph.Subgraph.support theorem mem_support (H : Subgraph G) {v : V} : v ∈ H.support ↔ ∃ w, H.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_support SimpleGraph.Subgraph.mem_support theorem support_subset_verts (H : Subgraph G) : H.support ⊆ H.verts := fun _ ⟨_, h⟩ ↦ H.edge_vert h #align simple_graph.subgraph.support_subset_verts SimpleGraph.Subgraph.support_subset_verts def neighborSet (G' : Subgraph G) (v : V) : Set V := {w | G'.Adj v w} #align simple_graph.subgraph.neighbor_set SimpleGraph.Subgraph.neighborSet theorem neighborSet_subset (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G.neighborSet v := fun _ ↦ G'.adj_sub #align simple_graph.subgraph.neighbor_set_subset SimpleGraph.Subgraph.neighborSet_subset theorem neighborSet_subset_verts (G' : Subgraph G) (v : V) : G'.neighborSet v ⊆ G'.verts := fun _ h ↦ G'.edge_vert (adj_symm G' h) #align simple_graph.subgraph.neighbor_set_subset_verts SimpleGraph.Subgraph.neighborSet_subset_verts @[simp] theorem mem_neighborSet (G' : Subgraph G) (v w : V) : w ∈ G'.neighborSet v ↔ G'.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_neighbor_set SimpleGraph.Subgraph.mem_neighborSet def coeNeighborSetEquiv {G' : Subgraph G} (v : G'.verts) : G'.coe.neighborSet v ≃ G'.neighborSet v where toFun w := ⟨w, w.2⟩ invFun w := ⟨⟨w, G'.edge_vert (G'.adj_symm w.2)⟩, w.2⟩ left_inv _ := rfl right_inv _ := rfl #align simple_graph.subgraph.coe_neighbor_set_equiv SimpleGraph.Subgraph.coeNeighborSetEquiv def edgeSet (G' : Subgraph G) : Set (Sym2 V) := Sym2.fromRel G'.symm #align simple_graph.subgraph.edge_set SimpleGraph.Subgraph.edgeSet theorem edgeSet_subset (G' : Subgraph G) : G'.edgeSet ⊆ G.edgeSet := Sym2.ind (fun _ _ ↦ G'.adj_sub) #align simple_graph.subgraph.edge_set_subset SimpleGraph.Subgraph.edgeSet_subset @[simp] theorem mem_edgeSet {G' : Subgraph G} {v w : V} : s(v, w) ∈ G'.edgeSet ↔ G'.Adj v w := Iff.rfl #align simple_graph.subgraph.mem_edge_set SimpleGraph.Subgraph.mem_edgeSet theorem mem_verts_if_mem_edge {G' : Subgraph G} {e : Sym2 V} {v : V} (he : e ∈ G'.edgeSet) (hv : v ∈ e) : v ∈ G'.verts := by revert hv refine Sym2.ind (fun v w he ↦ ?_) e he intro hv rcases Sym2.mem_iff.mp hv with (rfl | rfl) · exact G'.edge_vert he · exact G'.edge_vert (G'.symm he) #align simple_graph.subgraph.mem_verts_if_mem_edge SimpleGraph.Subgraph.mem_verts_if_mem_edge def incidenceSet (G' : Subgraph G) (v : V) : Set (Sym2 V) := {e ∈ G'.edgeSet | v ∈ e} #align simple_graph.subgraph.incidence_set SimpleGraph.Subgraph.incidenceSet theorem incidenceSet_subset_incidenceSet (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G.incidenceSet v := fun _ h ↦ ⟨G'.edgeSet_subset h.1, h.2⟩ #align simple_graph.subgraph.incidence_set_subset_incidence_set SimpleGraph.Subgraph.incidenceSet_subset_incidenceSet theorem incidenceSet_subset (G' : Subgraph G) (v : V) : G'.incidenceSet v ⊆ G'.edgeSet := fun _ h ↦ h.1 #align simple_graph.subgraph.incidence_set_subset SimpleGraph.Subgraph.incidenceSet_subset abbrev vert (G' : Subgraph G) (v : V) (h : v ∈ G'.verts) : G'.verts := ⟨v, h⟩ #align simple_graph.subgraph.vert SimpleGraph.Subgraph.vert def copy (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts) (adj' : V → V → Prop) (hadj : adj' = G'.Adj) : Subgraph G where verts := V'' Adj := adj' adj_sub := hadj.symm ▸ G'.adj_sub edge_vert := hV.symm ▸ hadj.symm ▸ G'.edge_vert symm := hadj.symm ▸ G'.symm #align simple_graph.subgraph.copy SimpleGraph.Subgraph.copy theorem copy_eq (G' : Subgraph G) (V'' : Set V) (hV : V'' = G'.verts) (adj' : V → V → Prop) (hadj : adj' = G'.Adj) : G'.copy V'' hV adj' hadj = G' := Subgraph.ext _ _ hV hadj #align simple_graph.subgraph.copy_eq SimpleGraph.Subgraph.copy_eq instance : Sup G.Subgraph where sup G₁ G₂ := { verts := G₁.verts ∪ G₂.verts Adj := G₁.Adj ⊔ G₂.Adj adj_sub := fun hab => Or.elim hab (fun h => G₁.adj_sub h) fun h => G₂.adj_sub h edge_vert := Or.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h symm := fun _ _ => Or.imp G₁.adj_symm G₂.adj_symm } instance : Inf G.Subgraph where inf G₁ G₂ := { verts := G₁.verts ∩ G₂.verts Adj := G₁.Adj ⊓ G₂.Adj adj_sub := fun hab => G₁.adj_sub hab.1 edge_vert := And.imp (fun h => G₁.edge_vert h) fun h => G₂.edge_vert h symm := fun _ _ => And.imp G₁.adj_symm G₂.adj_symm } instance : Top G.Subgraph where top := { verts := Set.univ Adj := G.Adj adj_sub := id edge_vert := @fun v _ _ => Set.mem_univ v symm := G.symm } instance : Bot G.Subgraph where bot := { verts := ∅ Adj := ⊥ adj_sub := False.elim edge_vert := False.elim symm := fun _ _ => id } instance : SupSet G.Subgraph where sSup s := { verts := ⋃ G' ∈ s, verts G' Adj := fun a b => ∃ G' ∈ s, Adj G' a b adj_sub := by rintro a b ⟨G', -, hab⟩ exact G'.adj_sub hab edge_vert := by rintro a b ⟨G', hG', hab⟩ exact Set.mem_iUnion₂_of_mem hG' (G'.edge_vert hab) symm := fun a b h => by simpa [adj_comm] using h } instance : InfSet G.Subgraph where sInf s := { verts := ⋂ G' ∈ s, verts G' Adj := fun a b => (∀ ⦃G'⦄, G' ∈ s → Adj G' a b) ∧ G.Adj a b adj_sub := And.right edge_vert := fun hab => Set.mem_iInter₂_of_mem fun G' hG' => G'.edge_vert <| hab.1 hG' symm := fun _ _ => And.imp (forall₂_imp fun _ _ => Adj.symm) G.adj_symm } @[simp] theorem sup_adj : (G₁ ⊔ G₂).Adj a b ↔ G₁.Adj a b ∨ G₂.Adj a b := Iff.rfl #align simple_graph.subgraph.sup_adj SimpleGraph.Subgraph.sup_adj @[simp] theorem inf_adj : (G₁ ⊓ G₂).Adj a b ↔ G₁.Adj a b ∧ G₂.Adj a b := Iff.rfl #align simple_graph.subgraph.inf_adj SimpleGraph.Subgraph.inf_adj @[simp] theorem top_adj : (⊤ : Subgraph G).Adj a b ↔ G.Adj a b := Iff.rfl #align simple_graph.subgraph.top_adj SimpleGraph.Subgraph.top_adj @[simp] theorem not_bot_adj : ¬ (⊥ : Subgraph G).Adj a b := not_false #align simple_graph.subgraph.not_bot_adj SimpleGraph.Subgraph.not_bot_adj @[simp] theorem verts_sup (G₁ G₂ : G.Subgraph) : (G₁ ⊔ G₂).verts = G₁.verts ∪ G₂.verts := rfl #align simple_graph.subgraph.verts_sup SimpleGraph.Subgraph.verts_sup @[simp] theorem verts_inf (G₁ G₂ : G.Subgraph) : (G₁ ⊓ G₂).verts = G₁.verts ∩ G₂.verts := rfl #align simple_graph.subgraph.verts_inf SimpleGraph.Subgraph.verts_inf @[simp] theorem verts_top : (⊤ : G.Subgraph).verts = Set.univ := rfl #align simple_graph.subgraph.verts_top SimpleGraph.Subgraph.verts_top @[simp] theorem verts_bot : (⊥ : G.Subgraph).verts = ∅ := rfl #align simple_graph.subgraph.verts_bot SimpleGraph.Subgraph.verts_bot @[simp] theorem sSup_adj {s : Set G.Subgraph} : (sSup s).Adj a b ↔ ∃ G ∈ s, Adj G a b := Iff.rfl #align simple_graph.subgraph.Sup_adj SimpleGraph.Subgraph.sSup_adj @[simp] theorem sInf_adj {s : Set G.Subgraph} : (sInf s).Adj a b ↔ (∀ G' ∈ s, Adj G' a b) ∧ G.Adj a b := Iff.rfl #align simple_graph.subgraph.Inf_adj SimpleGraph.Subgraph.sInf_adj @[simp] theorem iSup_adj {f : ι → G.Subgraph} : (⨆ i, f i).Adj a b ↔ ∃ i, (f i).Adj a b := by simp [iSup] #align simple_graph.subgraph.supr_adj SimpleGraph.Subgraph.iSup_adj @[simp] theorem iInf_adj {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ (∀ i, (f i).Adj a b) ∧ G.Adj a b := by simp [iInf] #align simple_graph.subgraph.infi_adj SimpleGraph.Subgraph.iInf_adj theorem sInf_adj_of_nonempty {s : Set G.Subgraph} (hs : s.Nonempty) : (sInf s).Adj a b ↔ ∀ G' ∈ s, Adj G' a b := sInf_adj.trans <| and_iff_left_of_imp <| by obtain ⟨G', hG'⟩ := hs exact fun h => G'.adj_sub (h _ hG') #align simple_graph.subgraph.Inf_adj_of_nonempty SimpleGraph.Subgraph.sInf_adj_of_nonempty theorem iInf_adj_of_nonempty [Nonempty ι] {f : ι → G.Subgraph} : (⨅ i, f i).Adj a b ↔ ∀ i, (f i).Adj a b := by rw [iInf, sInf_adj_of_nonempty (Set.range_nonempty _)] simp #align simple_graph.subgraph.infi_adj_of_nonempty SimpleGraph.Subgraph.iInf_adj_of_nonempty @[simp] theorem verts_sSup (s : Set G.Subgraph) : (sSup s).verts = ⋃ G' ∈ s, verts G' := rfl #align simple_graph.subgraph.verts_Sup SimpleGraph.Subgraph.verts_sSup @[simp] theorem verts_sInf (s : Set G.Subgraph) : (sInf s).verts = ⋂ G' ∈ s, verts G' := rfl #align simple_graph.subgraph.verts_Inf SimpleGraph.Subgraph.verts_sInf @[simp] theorem verts_iSup {f : ι → G.Subgraph} : (⨆ i, f i).verts = ⋃ i, (f i).verts := by simp [iSup] #align simple_graph.subgraph.verts_supr SimpleGraph.Subgraph.verts_iSup @[simp] theorem verts_iInf {f : ι → G.Subgraph} : (⨅ i, f i).verts = ⋂ i, (f i).verts := by simp [iInf] #align simple_graph.subgraph.verts_infi SimpleGraph.Subgraph.verts_iInf theorem verts_spanningCoe_injective : (fun G' : Subgraph G => (G'.verts, G'.spanningCoe)).Injective := by intro G₁ G₂ h rw [Prod.ext_iff] at h exact Subgraph.ext _ _ h.1 (spanningCoe_inj.1 h.2) instance distribLattice : DistribLattice G.Subgraph := { show DistribLattice G.Subgraph from verts_spanningCoe_injective.distribLattice _ (fun _ _ => rfl) fun _ _ => rfl with le := fun x y => x.verts ⊆ y.verts ∧ ∀ ⦃v w : V⦄, x.Adj v w → y.Adj v w } instance : BoundedOrder (Subgraph G) where top := ⊤ bot := ⊥ le_top x := ⟨Set.subset_univ _, fun _ _ => x.adj_sub⟩ bot_le _ := ⟨Set.empty_subset _, fun _ _ => False.elim⟩ -- Note that subgraphs do not form a Boolean algebra, because of `verts`. instance : CompletelyDistribLattice G.Subgraph := { Subgraph.distribLattice with le := (· ≤ ·) sup := (· ⊔ ·) inf := (· ⊓ ·) top := ⊤ bot := ⊥ le_top := fun G' => ⟨Set.subset_univ _, fun a b => G'.adj_sub⟩ bot_le := fun G' => ⟨Set.empty_subset _, fun a b => False.elim⟩ sSup := sSup -- Porting note: needed `apply` here to modify elaboration; previously the term itself was fine. le_sSup := fun s G' hG' => ⟨by apply Set.subset_iUnion₂ G' hG', fun a b hab => ⟨G', hG', hab⟩⟩ sSup_le := fun s G' hG' => ⟨Set.iUnion₂_subset fun H hH => (hG' _ hH).1, by rintro a b ⟨H, hH, hab⟩ exact (hG' _ hH).2 hab⟩ sInf := sInf sInf_le := fun s G' hG' => ⟨Set.iInter₂_subset G' hG', fun a b hab => hab.1 hG'⟩ le_sInf := fun s G' hG' => ⟨Set.subset_iInter₂ fun H hH => (hG' _ hH).1, fun a b hab => ⟨fun H hH => (hG' _ hH).2 hab, G'.adj_sub hab⟩⟩ iInf_iSup_eq := fun f => Subgraph.ext _ _ (by simpa using iInf_iSup_eq) (by ext; simp [Classical.skolem]) } @[simps] instance subgraphInhabited : Inhabited (Subgraph G) := ⟨⊥⟩ #align simple_graph.subgraph.subgraph_inhabited SimpleGraph.Subgraph.subgraphInhabited @[simp] theorem neighborSet_sup {H H' : G.Subgraph} (v : V) : (H ⊔ H').neighborSet v = H.neighborSet v ∪ H'.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_sup SimpleGraph.Subgraph.neighborSet_sup @[simp] theorem neighborSet_inf {H H' : G.Subgraph} (v : V) : (H ⊓ H').neighborSet v = H.neighborSet v ∩ H'.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_inf SimpleGraph.Subgraph.neighborSet_inf @[simp] theorem neighborSet_top (v : V) : (⊤ : G.Subgraph).neighborSet v = G.neighborSet v := rfl #align simple_graph.subgraph.neighbor_set_top SimpleGraph.Subgraph.neighborSet_top @[simp] theorem neighborSet_bot (v : V) : (⊥ : G.Subgraph).neighborSet v = ∅ := rfl #align simple_graph.subgraph.neighbor_set_bot SimpleGraph.Subgraph.neighborSet_bot @[simp] theorem neighborSet_sSup (s : Set G.Subgraph) (v : V) : (sSup s).neighborSet v = ⋃ G' ∈ s, neighborSet G' v := by ext simp #align simple_graph.subgraph.neighbor_set_Sup SimpleGraph.Subgraph.neighborSet_sSup @[simp] theorem neighborSet_sInf (s : Set G.Subgraph) (v : V) : (sInf s).neighborSet v = (⋂ G' ∈ s, neighborSet G' v) ∩ G.neighborSet v := by ext simp #align simple_graph.subgraph.neighbor_set_Inf SimpleGraph.Subgraph.neighborSet_sInf @[simp] theorem neighborSet_iSup (f : ι → G.Subgraph) (v : V) : (⨆ i, f i).neighborSet v = ⋃ i, (f i).neighborSet v := by simp [iSup] #align simple_graph.subgraph.neighbor_set_supr SimpleGraph.Subgraph.neighborSet_iSup @[simp] theorem neighborSet_iInf (f : ι → G.Subgraph) (v : V) : (⨅ i, f i).neighborSet v = (⋂ i, (f i).neighborSet v) ∩ G.neighborSet v := by simp [iInf] #align simple_graph.subgraph.neighbor_set_infi SimpleGraph.Subgraph.neighborSet_iInf @[simp] theorem edgeSet_top : (⊤ : Subgraph G).edgeSet = G.edgeSet := rfl #align simple_graph.subgraph.edge_set_top SimpleGraph.Subgraph.edgeSet_top @[simp] theorem edgeSet_bot : (⊥ : Subgraph G).edgeSet = ∅ := Set.ext <| Sym2.ind (by simp) #align simple_graph.subgraph.edge_set_bot SimpleGraph.Subgraph.edgeSet_bot @[simp] theorem edgeSet_inf {H₁ H₂ : Subgraph G} : (H₁ ⊓ H₂).edgeSet = H₁.edgeSet ∩ H₂.edgeSet := Set.ext <| Sym2.ind (by simp) #align simple_graph.subgraph.edge_set_inf SimpleGraph.Subgraph.edgeSet_inf @[simp] theorem edgeSet_sup {H₁ H₂ : Subgraph G} : (H₁ ⊔ H₂).edgeSet = H₁.edgeSet ∪ H₂.edgeSet := Set.ext <| Sym2.ind (by simp) #align simple_graph.subgraph.edge_set_sup SimpleGraph.Subgraph.edgeSet_sup @[simp] theorem edgeSet_sSup (s : Set G.Subgraph) : (sSup s).edgeSet = ⋃ G' ∈ s, edgeSet G' := by ext e induction e using Sym2.ind simp #align simple_graph.subgraph.edge_set_Sup SimpleGraph.Subgraph.edgeSet_sSup @[simp] theorem edgeSet_sInf (s : Set G.Subgraph) : (sInf s).edgeSet = (⋂ G' ∈ s, edgeSet G') ∩ G.edgeSet := by ext e induction e using Sym2.ind simp #align simple_graph.subgraph.edge_set_Inf SimpleGraph.Subgraph.edgeSet_sInf @[simp] theorem edgeSet_iSup (f : ι → G.Subgraph) : (⨆ i, f i).edgeSet = ⋃ i, (f i).edgeSet := by simp [iSup] #align simple_graph.subgraph.edge_set_supr SimpleGraph.Subgraph.edgeSet_iSup @[simp] theorem edgeSet_iInf (f : ι → G.Subgraph) : (⨅ i, f i).edgeSet = (⋂ i, (f i).edgeSet) ∩ G.edgeSet := by simp [iInf] #align simple_graph.subgraph.edge_set_infi SimpleGraph.Subgraph.edgeSet_iInf @[simp] theorem spanningCoe_top : (⊤ : Subgraph G).spanningCoe = G := rfl #align simple_graph.subgraph.spanning_coe_top SimpleGraph.Subgraph.spanningCoe_top @[simp] theorem spanningCoe_bot : (⊥ : Subgraph G).spanningCoe = ⊥ := rfl #align simple_graph.subgraph.spanning_coe_bot SimpleGraph.Subgraph.spanningCoe_bot @[simps] def _root_.SimpleGraph.toSubgraph (H : SimpleGraph V) (h : H ≤ G) : G.Subgraph where verts := Set.univ Adj := H.Adj adj_sub e := h e edge_vert _ := Set.mem_univ _ symm := H.symm #align simple_graph.to_subgraph SimpleGraph.toSubgraph theorem support_mono {H H' : Subgraph G} (h : H ≤ H') : H.support ⊆ H'.support := Rel.dom_mono h.2 #align simple_graph.subgraph.support_mono SimpleGraph.Subgraph.support_mono theorem _root_.SimpleGraph.toSubgraph.isSpanning (H : SimpleGraph V) (h : H ≤ G) : (toSubgraph H h).IsSpanning := Set.mem_univ #align simple_graph.to_subgraph.is_spanning SimpleGraph.toSubgraph.isSpanning theorem spanningCoe_le_of_le {H H' : Subgraph G} (h : H ≤ H') : H.spanningCoe ≤ H'.spanningCoe := h.2 #align simple_graph.subgraph.spanning_coe_le_of_le SimpleGraph.Subgraph.spanningCoe_le_of_le def topEquiv : (⊤ : Subgraph G).coe ≃g G where toFun v := ↑v invFun v := ⟨v, trivial⟩ left_inv _ := rfl right_inv _ := rfl map_rel_iff' := Iff.rfl #align simple_graph.subgraph.top_equiv SimpleGraph.Subgraph.topEquiv def botEquiv : (⊥ : Subgraph G).coe ≃g (⊥ : SimpleGraph Empty) where toFun v := v.property.elim invFun v := v.elim left_inv := fun ⟨_, h⟩ ↦ h.elim right_inv v := v.elim map_rel_iff' := Iff.rfl #align simple_graph.subgraph.bot_equiv SimpleGraph.Subgraph.botEquiv theorem edgeSet_mono {H₁ H₂ : Subgraph G} (h : H₁ ≤ H₂) : H₁.edgeSet ≤ H₂.edgeSet := Sym2.ind h.2 #align simple_graph.subgraph.edge_set_mono SimpleGraph.Subgraph.edgeSet_mono theorem _root_.Disjoint.edgeSet {H₁ H₂ : Subgraph G} (h : Disjoint H₁ H₂) : Disjoint H₁.edgeSet H₂.edgeSet := disjoint_iff_inf_le.mpr <| by simpa using edgeSet_mono h.le_bot #align disjoint.edge_set Disjoint.edgeSet @[simps] protected def map {G' : SimpleGraph W} (f : G →g G') (H : G.Subgraph) : G'.Subgraph where verts := f '' H.verts Adj := Relation.Map H.Adj f f adj_sub := by rintro _ _ ⟨u, v, h, rfl, rfl⟩ exact f.map_rel (H.adj_sub h) edge_vert := by rintro _ _ ⟨u, v, h, rfl, rfl⟩ exact Set.mem_image_of_mem _ (H.edge_vert h) symm := by rintro _ _ ⟨u, v, h, rfl, rfl⟩ exact ⟨v, u, H.symm h, rfl, rfl⟩ #align simple_graph.subgraph.map SimpleGraph.Subgraph.map theorem map_monotone {G' : SimpleGraph W} (f : G →g G') : Monotone (Subgraph.map f) := by intro H H' h constructor · intro simp only [map_verts, Set.mem_image, forall_exists_index, and_imp] rintro v hv rfl exact ⟨_, h.1 hv, rfl⟩ · rintro _ _ ⟨u, v, ha, rfl, rfl⟩ exact ⟨_, _, h.2 ha, rfl, rfl⟩ #align simple_graph.subgraph.map_monotone SimpleGraph.Subgraph.map_monotone theorem map_sup {G : SimpleGraph V} {G' : SimpleGraph W} (f : G →g G') {H H' : G.Subgraph} : (H ⊔ H').map f = H.map f ⊔ H'.map f := by ext1 · simp only [Set.image_union, map_verts, verts_sup] · ext simp only [Relation.Map, map_adj, sup_adj] constructor · rintro ⟨a, b, h | h, rfl, rfl⟩ · exact Or.inl ⟨_, _, h, rfl, rfl⟩ · exact Or.inr ⟨_, _, h, rfl, rfl⟩ · rintro (⟨a, b, h, rfl, rfl⟩ | ⟨a, b, h, rfl, rfl⟩) · exact ⟨_, _, Or.inl h, rfl, rfl⟩ · exact ⟨_, _, Or.inr h, rfl, rfl⟩ #align simple_graph.subgraph.map_sup SimpleGraph.Subgraph.map_sup @[simps] protected def comap {G' : SimpleGraph W} (f : G →g G') (H : G'.Subgraph) : G.Subgraph where verts := f ⁻¹' H.verts Adj u v := G.Adj u v ∧ H.Adj (f u) (f v) adj_sub h := h.1 edge_vert h := Set.mem_preimage.1 (H.edge_vert h.2) symm _ _ h := ⟨G.symm h.1, H.symm h.2⟩ #align simple_graph.subgraph.comap SimpleGraph.Subgraph.comap theorem comap_monotone {G' : SimpleGraph W} (f : G →g G') : Monotone (Subgraph.comap f) := by intro H H' h constructor · intro simp only [comap_verts, Set.mem_preimage] apply h.1 · intro v w simp (config := { contextual := true }) only [comap_adj, and_imp, true_and_iff] intro apply h.2 #align simple_graph.subgraph.comap_monotone SimpleGraph.Subgraph.comap_monotone theorem map_le_iff_le_comap {G' : SimpleGraph W} (f : G →g G') (H : G.Subgraph) (H' : G'.Subgraph) : H.map f ≤ H' ↔ H ≤ H'.comap f := by refine ⟨fun h ↦ ⟨fun v hv ↦ ?_, fun v w hvw ↦ ?_⟩, fun h ↦ ⟨fun v ↦ ?_, fun v w ↦ ?_⟩⟩ · simp only [comap_verts, Set.mem_preimage] exact h.1 ⟨v, hv, rfl⟩ · simp only [H.adj_sub hvw, comap_adj, true_and_iff] exact h.2 ⟨v, w, hvw, rfl, rfl⟩ · simp only [map_verts, Set.mem_image, forall_exists_index, and_imp] rintro w hw rfl exact h.1 hw · simp only [Relation.Map, map_adj, forall_exists_index, and_imp] rintro u u' hu rfl rfl exact (h.2 hu).2 #align simple_graph.subgraph.map_le_iff_le_comap SimpleGraph.Subgraph.map_le_iff_le_comap @[simps] def inclusion {x y : Subgraph G} (h : x ≤ y) : x.coe →g y.coe where toFun v := ⟨↑v, And.left h v.property⟩ map_rel' hvw := h.2 hvw #align simple_graph.subgraph.inclusion SimpleGraph.Subgraph.inclusion theorem inclusion.injective {x y : Subgraph G} (h : x ≤ y) : Function.Injective (inclusion h) := by intro v w h rw [inclusion, DFunLike.coe, Subtype.mk_eq_mk] at h exact Subtype.ext h #align simple_graph.subgraph.inclusion.injective SimpleGraph.Subgraph.inclusion.injective @[simps] protected def hom (x : Subgraph G) : x.coe →g G where toFun v := v map_rel' := x.adj_sub #align simple_graph.subgraph.hom SimpleGraph.Subgraph.hom @[simp] lemma coe_hom (x : Subgraph G) : (x.hom : x.verts → V) = (fun (v : x.verts) => (v : V)) := rfl theorem hom.injective {x : Subgraph G} : Function.Injective x.hom := fun _ _ ↦ Subtype.ext #align simple_graph.subgraph.hom.injective SimpleGraph.Subgraph.hom.injective @[simps] def spanningHom (x : Subgraph G) : x.spanningCoe →g G where toFun := id map_rel' := x.adj_sub #align simple_graph.subgraph.spanning_hom SimpleGraph.Subgraph.spanningHom theorem spanningHom.injective {x : Subgraph G} : Function.Injective x.spanningHom := fun _ _ ↦ id #align simple_graph.subgraph.spanning_hom.injective SimpleGraph.Subgraph.spanningHom.injective theorem neighborSet_subset_of_subgraph {x y : Subgraph G} (h : x ≤ y) (v : V) : x.neighborSet v ⊆ y.neighborSet v := fun _ h' ↦ h.2 h' #align simple_graph.subgraph.neighbor_set_subset_of_subgraph SimpleGraph.Subgraph.neighborSet_subset_of_subgraph instance neighborSet.decidablePred (G' : Subgraph G) [h : DecidableRel G'.Adj] (v : V) : DecidablePred (· ∈ G'.neighborSet v) := h v #align simple_graph.subgraph.neighbor_set.decidable_pred SimpleGraph.Subgraph.neighborSet.decidablePred instance finiteAt {G' : Subgraph G} (v : G'.verts) [DecidableRel G'.Adj] [Fintype (G.neighborSet v)] : Fintype (G'.neighborSet v) := Set.fintypeSubset (G.neighborSet v) (G'.neighborSet_subset v) #align simple_graph.subgraph.finite_at SimpleGraph.Subgraph.finiteAt def finiteAtOfSubgraph {G' G'' : Subgraph G} [DecidableRel G'.Adj] (h : G' ≤ G'') (v : G'.verts) [Fintype (G''.neighborSet v)] : Fintype (G'.neighborSet v) := Set.fintypeSubset (G''.neighborSet v) (neighborSet_subset_of_subgraph h v) #align simple_graph.subgraph.finite_at_of_subgraph SimpleGraph.Subgraph.finiteAtOfSubgraph instance (G' : Subgraph G) [Fintype G'.verts] (v : V) [DecidablePred (· ∈ G'.neighborSet v)] : Fintype (G'.neighborSet v) := Set.fintypeSubset G'.verts (neighborSet_subset_verts G' v) instance coeFiniteAt {G' : Subgraph G} (v : G'.verts) [Fintype (G'.neighborSet v)] : Fintype (G'.coe.neighborSet v) := Fintype.ofEquiv _ (coeNeighborSetEquiv v).symm #align simple_graph.subgraph.coe_finite_at SimpleGraph.Subgraph.coeFiniteAt
Mathlib/Combinatorics/SimpleGraph/Subgraph.lean
786
789
theorem IsSpanning.card_verts [Fintype V] {G' : Subgraph G} [Fintype G'.verts] (h : G'.IsSpanning) : G'.verts.toFinset.card = Fintype.card V := by
simp only [isSpanning_iff.1 h, Set.toFinset_univ] congr
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
Mathlib/Data/Set/Function.lean
117
120
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 _ _
import Mathlib.LinearAlgebra.Ray import Mathlib.Analysis.NormedSpace.Real #align_import analysis.normed_space.ray from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7" open Real variable {E : Type*} [SeminormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] variable {x y : F} theorem norm_injOn_ray_left (hx : x ≠ 0) : { y | SameRay ℝ x y }.InjOn norm := by rintro y hy z hz h rcases hy.exists_nonneg_left hx with ⟨r, hr, rfl⟩ rcases hz.exists_nonneg_left hx with ⟨s, hs, rfl⟩ rw [norm_smul, norm_smul, mul_left_inj' (norm_ne_zero_iff.2 hx), norm_of_nonneg hr, norm_of_nonneg hs] at h rw [h] #align norm_inj_on_ray_left norm_injOn_ray_left
Mathlib/Analysis/NormedSpace/Ray.lean
68
69
theorem norm_injOn_ray_right (hy : y ≠ 0) : { x | SameRay ℝ x y }.InjOn norm := by
simpa only [SameRay.sameRay_comm] using norm_injOn_ray_left hy
import Mathlib.Data.List.Sigma #align_import data.list.alist from "leanprover-community/mathlib"@"f808feb6c18afddb25e66a71d317643cf7fb5fbb" universe u v w open List variable {α : Type u} {β : α → Type v} structure AList (β : α → Type v) : Type max u v where entries : List (Sigma β) nodupKeys : entries.NodupKeys #align alist AList def List.toAList [DecidableEq α] {β : α → Type v} (l : List (Sigma β)) : AList β where entries := _ nodupKeys := nodupKeys_dedupKeys l #align list.to_alist List.toAList namespace AList @[ext] theorem ext : ∀ {s t : AList β}, s.entries = t.entries → s = t | ⟨l₁, h₁⟩, ⟨l₂, _⟩, H => by congr #align alist.ext AList.ext theorem ext_iff {s t : AList β} : s = t ↔ s.entries = t.entries := ⟨congr_arg _, ext⟩ #align alist.ext_iff AList.ext_iff instance [DecidableEq α] [∀ a, DecidableEq (β a)] : DecidableEq (AList β) := fun xs ys => by rw [ext_iff]; infer_instance def keys (s : AList β) : List α := s.entries.keys #align alist.keys AList.keys theorem keys_nodup (s : AList β) : s.keys.Nodup := s.nodupKeys #align alist.keys_nodup AList.keys_nodup instance : Membership α (AList β) := ⟨fun a s => a ∈ s.keys⟩ theorem mem_keys {a : α} {s : AList β} : a ∈ s ↔ a ∈ s.keys := Iff.rfl #align alist.mem_keys AList.mem_keys theorem mem_of_perm {a : α} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) : a ∈ s₁ ↔ a ∈ s₂ := (p.map Sigma.fst).mem_iff #align alist.mem_of_perm AList.mem_of_perm instance : EmptyCollection (AList β) := ⟨⟨[], nodupKeys_nil⟩⟩ instance : Inhabited (AList β) := ⟨∅⟩ @[simp] theorem not_mem_empty (a : α) : a ∉ (∅ : AList β) := not_mem_nil a #align alist.not_mem_empty AList.not_mem_empty @[simp] theorem empty_entries : (∅ : AList β).entries = [] := rfl #align alist.empty_entries AList.empty_entries @[simp] theorem keys_empty : (∅ : AList β).keys = [] := rfl #align alist.keys_empty AList.keys_empty def singleton (a : α) (b : β a) : AList β := ⟨[⟨a, b⟩], nodupKeys_singleton _⟩ #align alist.singleton AList.singleton @[simp] theorem singleton_entries (a : α) (b : β a) : (singleton a b).entries = [Sigma.mk a b] := rfl #align alist.singleton_entries AList.singleton_entries @[simp] theorem keys_singleton (a : α) (b : β a) : (singleton a b).keys = [a] := rfl #align alist.keys_singleton AList.keys_singleton section variable [DecidableEq α] def lookup (a : α) (s : AList β) : Option (β a) := s.entries.dlookup a #align alist.lookup AList.lookup @[simp] theorem lookup_empty (a) : lookup a (∅ : AList β) = none := rfl #align alist.lookup_empty AList.lookup_empty theorem lookup_isSome {a : α} {s : AList β} : (s.lookup a).isSome ↔ a ∈ s := dlookup_isSome #align alist.lookup_is_some AList.lookup_isSome theorem lookup_eq_none {a : α} {s : AList β} : lookup a s = none ↔ a ∉ s := dlookup_eq_none #align alist.lookup_eq_none AList.lookup_eq_none theorem mem_lookup_iff {a : α} {b : β a} {s : AList β} : b ∈ lookup a s ↔ Sigma.mk a b ∈ s.entries := mem_dlookup_iff s.nodupKeys #align alist.mem_lookup_iff AList.mem_lookup_iff theorem perm_lookup {a : α} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) : s₁.lookup a = s₂.lookup a := perm_dlookup _ s₁.nodupKeys s₂.nodupKeys p #align alist.perm_lookup AList.perm_lookup instance (a : α) (s : AList β) : Decidable (a ∈ s) := decidable_of_iff _ lookup_isSome theorem keys_subset_keys_of_entries_subset_entries {s₁ s₂ : AList β} (h : s₁.entries ⊆ s₂.entries) : s₁.keys ⊆ s₂.keys := by intro k hk letI : DecidableEq α := Classical.decEq α have := h (mem_lookup_iff.1 (Option.get_mem (lookup_isSome.2 hk))) rw [← mem_lookup_iff, Option.mem_def] at this rw [← mem_keys, ← lookup_isSome, this] exact Option.isSome_some def replace (a : α) (b : β a) (s : AList β) : AList β := ⟨kreplace a b s.entries, (kreplace_nodupKeys a b).2 s.nodupKeys⟩ #align alist.replace AList.replace @[simp] theorem keys_replace (a : α) (b : β a) (s : AList β) : (replace a b s).keys = s.keys := keys_kreplace _ _ _ #align alist.keys_replace AList.keys_replace @[simp] theorem mem_replace {a a' : α} {b : β a} {s : AList β} : a' ∈ replace a b s ↔ a' ∈ s := by rw [mem_keys, keys_replace, ← mem_keys] #align alist.mem_replace AList.mem_replace theorem perm_replace {a : α} {b : β a} {s₁ s₂ : AList β} : s₁.entries ~ s₂.entries → (replace a b s₁).entries ~ (replace a b s₂).entries := Perm.kreplace s₁.nodupKeys #align alist.perm_replace AList.perm_replace end def foldl {δ : Type w} (f : δ → ∀ a, β a → δ) (d : δ) (m : AList β) : δ := m.entries.foldl (fun r a => f r a.1 a.2) d #align alist.foldl AList.foldl section variable [DecidableEq α] def erase (a : α) (s : AList β) : AList β := ⟨s.entries.kerase a, s.nodupKeys.kerase a⟩ #align alist.erase AList.erase @[simp] theorem keys_erase (a : α) (s : AList β) : (erase a s).keys = s.keys.erase a := keys_kerase #align alist.keys_erase AList.keys_erase @[simp] theorem mem_erase {a a' : α} {s : AList β} : a' ∈ erase a s ↔ a' ≠ a ∧ a' ∈ s := by rw [mem_keys, keys_erase, s.keys_nodup.mem_erase_iff, ← mem_keys] #align alist.mem_erase AList.mem_erase theorem perm_erase {a : α} {s₁ s₂ : AList β} : s₁.entries ~ s₂.entries → (erase a s₁).entries ~ (erase a s₂).entries := Perm.kerase s₁.nodupKeys #align alist.perm_erase AList.perm_erase @[simp] theorem lookup_erase (a) (s : AList β) : lookup a (erase a s) = none := dlookup_kerase a s.nodupKeys #align alist.lookup_erase AList.lookup_erase @[simp] theorem lookup_erase_ne {a a'} {s : AList β} (h : a ≠ a') : lookup a (erase a' s) = lookup a s := dlookup_kerase_ne h #align alist.lookup_erase_ne AList.lookup_erase_ne theorem erase_erase (a a' : α) (s : AList β) : (s.erase a).erase a' = (s.erase a').erase a := ext <| kerase_kerase #align alist.erase_erase AList.erase_erase def insert (a : α) (b : β a) (s : AList β) : AList β := ⟨kinsert a b s.entries, kinsert_nodupKeys a b s.nodupKeys⟩ #align alist.insert AList.insert @[simp] theorem insert_entries {a} {b : β a} {s : AList β} : (insert a b s).entries = Sigma.mk a b :: kerase a s.entries := rfl #align alist.insert_entries AList.insert_entries theorem insert_entries_of_neg {a} {b : β a} {s : AList β} (h : a ∉ s) : (insert a b s).entries = ⟨a, b⟩ :: s.entries := by rw [insert_entries, kerase_of_not_mem_keys h] #align alist.insert_entries_of_neg AList.insert_entries_of_neg -- Todo: rename to `insert_of_not_mem`. theorem insert_of_neg {a} {b : β a} {s : AList β} (h : a ∉ s) : insert a b s = ⟨⟨a, b⟩ :: s.entries, nodupKeys_cons.2 ⟨h, s.2⟩⟩ := ext <| insert_entries_of_neg h #align alist.insert_of_neg AList.insert_of_neg @[simp] theorem insert_empty (a) (b : β a) : insert a b ∅ = singleton a b := rfl #align alist.insert_empty AList.insert_empty @[simp] theorem mem_insert {a a'} {b' : β a'} (s : AList β) : a ∈ insert a' b' s ↔ a = a' ∨ a ∈ s := mem_keys_kinsert #align alist.mem_insert AList.mem_insert @[simp] theorem keys_insert {a} {b : β a} (s : AList β) : (insert a b s).keys = a :: s.keys.erase a := by simp [insert, keys, keys_kerase] #align alist.keys_insert AList.keys_insert theorem perm_insert {a} {b : β a} {s₁ s₂ : AList β} (p : s₁.entries ~ s₂.entries) : (insert a b s₁).entries ~ (insert a b s₂).entries := by simp only [insert_entries]; exact p.kinsert s₁.nodupKeys #align alist.perm_insert AList.perm_insert @[simp] theorem lookup_insert {a} {b : β a} (s : AList β) : lookup a (insert a b s) = some b := by simp only [lookup, insert, dlookup_kinsert] #align alist.lookup_insert AList.lookup_insert @[simp] theorem lookup_insert_ne {a a'} {b' : β a'} {s : AList β} (h : a ≠ a') : lookup a (insert a' b' s) = lookup a s := dlookup_kinsert_ne h #align alist.lookup_insert_ne AList.lookup_insert_ne @[simp] theorem lookup_insert_eq_none {l : AList β} {k k' : α} {v : β k} : (l.insert k v).lookup k' = none ↔ (k' ≠ k) ∧ l.lookup k' = none := by by_cases h : k' = k · subst h; simp · simp_all [lookup_insert_ne h] @[simp] theorem lookup_to_alist {a} (s : List (Sigma β)) : lookup a s.toAList = s.dlookup a := by rw [List.toAList, lookup, dlookup_dedupKeys] #align alist.lookup_to_alist AList.lookup_to_alist @[simp] theorem insert_insert {a} {b b' : β a} (s : AList β) : (s.insert a b).insert a b' = s.insert a b' := by ext : 1; simp only [AList.insert_entries, List.kerase_cons_eq] #align alist.insert_insert AList.insert_insert
Mathlib/Data/List/AList.lean
337
340
theorem insert_insert_of_ne {a a'} {b : β a} {b' : β a'} (s : AList β) (h : a ≠ a') : ((s.insert a b).insert a' b').entries ~ ((s.insert a' b').insert a b).entries := by
simp only [insert_entries]; rw [kerase_cons_ne, kerase_cons_ne, kerase_comm] <;> [apply Perm.swap; exact h; exact h.symm]
import Mathlib.Algebra.Group.Aut import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.Logic.Function.Basic #align_import group_theory.semidirect_product from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" variable (N : Type*) (G : Type*) {H : Type*} [Group N] [Group G] [Group H] @[ext] structure SemidirectProduct (φ : G →* MulAut N) where left : N right : G deriving DecidableEq #align semidirect_product SemidirectProduct -- Porting note: these lemmas are autogenerated by the inductive definition and are not -- in simple form due to the existence of mk_eq_inl_mul_inr attribute [nolint simpNF] SemidirectProduct.mk.injEq attribute [nolint simpNF] SemidirectProduct.mk.sizeOf_spec -- Porting note: unknown attribute -- attribute [pp_using_anonymous_constructor] SemidirectProduct @[inherit_doc] notation:35 N " ⋊[" φ:35 "] " G:35 => SemidirectProduct N G φ namespace SemidirectProduct variable {N G} variable {φ : G →* MulAut N} instance : Mul (SemidirectProduct N G φ) where mul a b := ⟨a.1 * φ a.2 b.1, a.2 * b.2⟩ lemma mul_def (a b : SemidirectProduct N G φ) : a * b = ⟨a.1 * φ a.2 b.1, a.2 * b.2⟩ := rfl @[simp] theorem mul_left (a b : N ⋊[φ] G) : (a * b).left = a.left * φ a.right b.left := rfl #align semidirect_product.mul_left SemidirectProduct.mul_left @[simp] theorem mul_right (a b : N ⋊[φ] G) : (a * b).right = a.right * b.right := rfl #align semidirect_product.mul_right SemidirectProduct.mul_right instance : One (SemidirectProduct N G φ) where one := ⟨1, 1⟩ @[simp] theorem one_left : (1 : N ⋊[φ] G).left = 1 := rfl #align semidirect_product.one_left SemidirectProduct.one_left @[simp] theorem one_right : (1 : N ⋊[φ] G).right = 1 := rfl #align semidirect_product.one_right SemidirectProduct.one_right instance : Inv (SemidirectProduct N G φ) where inv x := ⟨φ x.2⁻¹ x.1⁻¹, x.2⁻¹⟩ @[simp] theorem inv_left (a : N ⋊[φ] G) : a⁻¹.left = φ a.right⁻¹ a.left⁻¹ := rfl #align semidirect_product.inv_left SemidirectProduct.inv_left @[simp] theorem inv_right (a : N ⋊[φ] G) : a⁻¹.right = a.right⁻¹ := rfl #align semidirect_product.inv_right SemidirectProduct.inv_right instance : Group (N ⋊[φ] G) where mul_assoc a b c := SemidirectProduct.ext _ _ (by simp [mul_assoc]) (by simp [mul_assoc]) one_mul a := SemidirectProduct.ext _ _ (by simp) (one_mul a.2) mul_one a := SemidirectProduct.ext _ _ (by simp) (mul_one _) mul_left_inv a := SemidirectProduct.ext _ _ (by simp) (by simp) instance : Inhabited (N ⋊[φ] G) := ⟨1⟩ def inl : N →* N ⋊[φ] G where toFun n := ⟨n, 1⟩ map_one' := rfl map_mul' := by intros; ext <;> simp only [mul_left, map_one, MulAut.one_apply, mul_right, mul_one] #align semidirect_product.inl SemidirectProduct.inl @[simp] theorem left_inl (n : N) : (inl n : N ⋊[φ] G).left = n := rfl #align semidirect_product.left_inl SemidirectProduct.left_inl @[simp] theorem right_inl (n : N) : (inl n : N ⋊[φ] G).right = 1 := rfl #align semidirect_product.right_inl SemidirectProduct.right_inl theorem inl_injective : Function.Injective (inl : N → N ⋊[φ] G) := Function.injective_iff_hasLeftInverse.2 ⟨left, left_inl⟩ #align semidirect_product.inl_injective SemidirectProduct.inl_injective @[simp] theorem inl_inj {n₁ n₂ : N} : (inl n₁ : N ⋊[φ] G) = inl n₂ ↔ n₁ = n₂ := inl_injective.eq_iff #align semidirect_product.inl_inj SemidirectProduct.inl_inj def inr : G →* N ⋊[φ] G where toFun g := ⟨1, g⟩ map_one' := rfl map_mul' := by intros; ext <;> simp #align semidirect_product.inr SemidirectProduct.inr @[simp] theorem left_inr (g : G) : (inr g : N ⋊[φ] G).left = 1 := rfl #align semidirect_product.left_inr SemidirectProduct.left_inr @[simp] theorem right_inr (g : G) : (inr g : N ⋊[φ] G).right = g := rfl #align semidirect_product.right_inr SemidirectProduct.right_inr theorem inr_injective : Function.Injective (inr : G → N ⋊[φ] G) := Function.injective_iff_hasLeftInverse.2 ⟨right, right_inr⟩ #align semidirect_product.inr_injective SemidirectProduct.inr_injective @[simp] theorem inr_inj {g₁ g₂ : G} : (inr g₁ : N ⋊[φ] G) = inr g₂ ↔ g₁ = g₂ := inr_injective.eq_iff #align semidirect_product.inr_inj SemidirectProduct.inr_inj theorem inl_aut (g : G) (n : N) : (inl (φ g n) : N ⋊[φ] G) = inr g * inl n * inr g⁻¹ := by ext <;> simp #align semidirect_product.inl_aut SemidirectProduct.inl_aut theorem inl_aut_inv (g : G) (n : N) : (inl ((φ g)⁻¹ n) : N ⋊[φ] G) = inr g⁻¹ * inl n * inr g := by rw [← MonoidHom.map_inv, inl_aut, inv_inv] #align semidirect_product.inl_aut_inv SemidirectProduct.inl_aut_inv @[simp] theorem mk_eq_inl_mul_inr (g : G) (n : N) : (⟨n, g⟩ : N ⋊[φ] G) = inl n * inr g := by ext <;> simp #align semidirect_product.mk_eq_inl_mul_inr SemidirectProduct.mk_eq_inl_mul_inr @[simp] theorem inl_left_mul_inr_right (x : N ⋊[φ] G) : inl x.left * inr x.right = x := by ext <;> simp #align semidirect_product.inl_left_mul_inr_right SemidirectProduct.inl_left_mul_inr_right def rightHom : N ⋊[φ] G →* G where toFun := SemidirectProduct.right map_one' := rfl map_mul' _ _ := rfl #align semidirect_product.right_hom SemidirectProduct.rightHom @[simp] theorem rightHom_eq_right : (rightHom : N ⋊[φ] G → G) = right := rfl #align semidirect_product.right_hom_eq_right SemidirectProduct.rightHom_eq_right @[simp]
Mathlib/GroupTheory/SemidirectProduct.lean
185
185
theorem rightHom_comp_inl : (rightHom : N ⋊[φ] G →* G).comp inl = 1 := by
ext; simp [rightHom]
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Degree.Lemmas import Mathlib.Algebra.Polynomial.HasseDeriv #align_import data.polynomial.taylor from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" noncomputable section namespace Polynomial open Polynomial variable {R : Type*} [Semiring R] (r : R) (f : R[X]) def taylor (r : R) : R[X] →ₗ[R] R[X] where toFun f := f.comp (X + C r) map_add' f g := add_comp map_smul' c f := by simp only [smul_eq_C_mul, C_mul_comp, RingHom.id_apply] #align polynomial.taylor Polynomial.taylor theorem taylor_apply : taylor r f = f.comp (X + C r) := rfl #align polynomial.taylor_apply Polynomial.taylor_apply @[simp] theorem taylor_X : taylor r X = X + C r := by simp only [taylor_apply, X_comp] set_option linter.uppercaseLean3 false in #align polynomial.taylor_X Polynomial.taylor_X @[simp] theorem taylor_C (x : R) : taylor r (C x) = C x := by simp only [taylor_apply, C_comp] set_option linter.uppercaseLean3 false in #align polynomial.taylor_C Polynomial.taylor_C @[simp]
Mathlib/Algebra/Polynomial/Taylor.lean
56
59
theorem taylor_zero' : taylor (0 : R) = LinearMap.id := by
ext simp only [taylor_apply, add_zero, comp_X, _root_.map_zero, LinearMap.id_comp, Function.comp_apply, LinearMap.coe_comp]
import Mathlib.Algebra.MvPolynomial.Basic #align_import data.mv_polynomial.rename from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4" noncomputable section open Set Function Finsupp AddMonoidAlgebra variable {σ τ α R S : Type*} [CommSemiring R] [CommSemiring S] namespace MvPolynomial section Rename def rename (f : σ → τ) : MvPolynomial σ R →ₐ[R] MvPolynomial τ R := aeval (X ∘ f) #align mv_polynomial.rename MvPolynomial.rename theorem rename_C (f : σ → τ) (r : R) : rename f (C r) = C r := eval₂_C _ _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.rename_C MvPolynomial.rename_C @[simp] theorem rename_X (f : σ → τ) (i : σ) : rename f (X i : MvPolynomial σ R) = X (f i) := eval₂_X _ _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.rename_X MvPolynomial.rename_X theorem map_rename (f : R →+* S) (g : σ → τ) (p : MvPolynomial σ R) : map f (rename g p) = rename g (map f p) := by apply MvPolynomial.induction_on p (fun a => by simp only [map_C, rename_C]) (fun p q hp hq => by simp only [hp, hq, AlgHom.map_add, RingHom.map_add]) fun p n hp => by simp only [hp, rename_X, map_X, RingHom.map_mul, AlgHom.map_mul] #align mv_polynomial.map_rename MvPolynomial.map_rename @[simp] theorem rename_rename (f : σ → τ) (g : τ → α) (p : MvPolynomial σ R) : rename g (rename f p) = rename (g ∘ f) p := show rename g (eval₂ C (X ∘ f) p) = _ by simp only [rename, aeval_eq_eval₂Hom] -- Porting note: the Lean 3 proof of this was very fragile and included a nonterminal `simp`. -- Hopefully this is less prone to breaking rw [eval₂_comp_left (eval₂Hom (algebraMap R (MvPolynomial α R)) (X ∘ g)) C (X ∘ f) p] simp only [(· ∘ ·), eval₂Hom_X'] refine eval₂Hom_congr ?_ rfl rfl ext1; simp only [comp_apply, RingHom.coe_comp, eval₂Hom_C] #align mv_polynomial.rename_rename MvPolynomial.rename_rename @[simp] theorem rename_id (p : MvPolynomial σ R) : rename id p = p := eval₂_eta p #align mv_polynomial.rename_id MvPolynomial.rename_id theorem rename_monomial (f : σ → τ) (d : σ →₀ ℕ) (r : R) : rename f (monomial d r) = monomial (d.mapDomain f) r := by rw [rename, aeval_monomial, monomial_eq (s := Finsupp.mapDomain f d), Finsupp.prod_mapDomain_index] · rfl · exact fun n => pow_zero _ · exact fun n i₁ i₂ => pow_add _ _ _ #align mv_polynomial.rename_monomial MvPolynomial.rename_monomial theorem rename_eq (f : σ → τ) (p : MvPolynomial σ R) : rename f p = Finsupp.mapDomain (Finsupp.mapDomain f) p := by simp only [rename, aeval_def, eval₂, Finsupp.mapDomain, algebraMap_eq, comp_apply, X_pow_eq_monomial, ← monomial_finsupp_sum_index] rfl #align mv_polynomial.rename_eq MvPolynomial.rename_eq theorem rename_injective (f : σ → τ) (hf : Function.Injective f) : Function.Injective (rename f : MvPolynomial σ R → MvPolynomial τ R) := by have : (rename f : MvPolynomial σ R → MvPolynomial τ R) = Finsupp.mapDomain (Finsupp.mapDomain f) := funext (rename_eq f) rw [this] exact Finsupp.mapDomain_injective (Finsupp.mapDomain_injective hf) #align mv_polynomial.rename_injective MvPolynomial.rename_injective section variable {f : σ → τ} (hf : Function.Injective f) open scoped Classical def killCompl : MvPolynomial τ R →ₐ[R] MvPolynomial σ R := aeval fun i => if h : i ∈ Set.range f then X <| (Equiv.ofInjective f hf).symm ⟨i, h⟩ else 0 #align mv_polynomial.kill_compl MvPolynomial.killCompl theorem killCompl_C (r : R) : killCompl hf (C r) = C r := algHom_C _ _ theorem killCompl_comp_rename : (killCompl hf).comp (rename f) = AlgHom.id R _ := algHom_ext fun i => by dsimp rw [rename, killCompl, aeval_X, comp_apply, aeval_X, dif_pos, Equiv.ofInjective_symm_apply] #align mv_polynomial.kill_compl_comp_rename MvPolynomial.killCompl_comp_rename @[simp] theorem killCompl_rename_app (p : MvPolynomial σ R) : killCompl hf (rename f p) = p := AlgHom.congr_fun (killCompl_comp_rename hf) p #align mv_polynomial.kill_compl_rename_app MvPolynomial.killCompl_rename_app end section variable (R) @[simps apply] def renameEquiv (f : σ ≃ τ) : MvPolynomial σ R ≃ₐ[R] MvPolynomial τ R := { rename f with toFun := rename f invFun := rename f.symm left_inv := fun p => by rw [rename_rename, f.symm_comp_self, rename_id] right_inv := fun p => by rw [rename_rename, f.self_comp_symm, rename_id] } #align mv_polynomial.rename_equiv MvPolynomial.renameEquiv @[simp] theorem renameEquiv_refl : renameEquiv R (Equiv.refl σ) = AlgEquiv.refl := AlgEquiv.ext rename_id #align mv_polynomial.rename_equiv_refl MvPolynomial.renameEquiv_refl @[simp] theorem renameEquiv_symm (f : σ ≃ τ) : (renameEquiv R f).symm = renameEquiv R f.symm := rfl #align mv_polynomial.rename_equiv_symm MvPolynomial.renameEquiv_symm @[simp] theorem renameEquiv_trans (e : σ ≃ τ) (f : τ ≃ α) : (renameEquiv R e).trans (renameEquiv R f) = renameEquiv R (e.trans f) := AlgEquiv.ext (rename_rename e f) #align mv_polynomial.rename_equiv_trans MvPolynomial.renameEquiv_trans end section variable (f : R →+* S) (k : σ → τ) (g : τ → S) (p : MvPolynomial σ R) theorem eval₂_rename : (rename k p).eval₂ f g = p.eval₂ f (g ∘ k) := by apply MvPolynomial.induction_on p <;> · intros simp [*] #align mv_polynomial.eval₂_rename MvPolynomial.eval₂_rename theorem eval_rename (g : τ → R) (p : MvPolynomial σ R) : eval g (rename k p) = eval (g ∘ k) p := eval₂_rename _ _ _ _ theorem eval₂Hom_rename : eval₂Hom f g (rename k p) = eval₂Hom f (g ∘ k) p := eval₂_rename _ _ _ _ #align mv_polynomial.eval₂_hom_rename MvPolynomial.eval₂Hom_rename theorem aeval_rename [Algebra R S] : aeval g (rename k p) = aeval (g ∘ k) p := eval₂Hom_rename _ _ _ _ #align mv_polynomial.aeval_rename MvPolynomial.aeval_rename theorem rename_eval₂ (g : τ → MvPolynomial σ R) : rename k (p.eval₂ C (g ∘ k)) = (rename k p).eval₂ C (rename k ∘ g) := by apply MvPolynomial.induction_on p <;> · intros simp [*] #align mv_polynomial.rename_eval₂ MvPolynomial.rename_eval₂ theorem rename_prod_mk_eval₂ (j : τ) (g : σ → MvPolynomial σ R) : rename (Prod.mk j) (p.eval₂ C g) = p.eval₂ C fun x => rename (Prod.mk j) (g x) := by apply MvPolynomial.induction_on p <;> · intros simp [*] #align mv_polynomial.rename_prodmk_eval₂ MvPolynomial.rename_prod_mk_eval₂ theorem eval₂_rename_prod_mk (g : σ × τ → S) (i : σ) (p : MvPolynomial τ R) : (rename (Prod.mk i) p).eval₂ f g = eval₂ f (fun j => g (i, j)) p := by apply MvPolynomial.induction_on p <;> · intros simp [*] #align mv_polynomial.eval₂_rename_prodmk MvPolynomial.eval₂_rename_prod_mk theorem eval_rename_prod_mk (g : σ × τ → R) (i : σ) (p : MvPolynomial τ R) : eval g (rename (Prod.mk i) p) = eval (fun j => g (i, j)) p := eval₂_rename_prod_mk (RingHom.id _) _ _ _ #align mv_polynomial.eval_rename_prodmk MvPolynomial.eval_rename_prod_mk end theorem exists_finset_rename (p : MvPolynomial σ R) : ∃ (s : Finset σ) (q : MvPolynomial { x // x ∈ s } R), p = rename (↑) q := by classical apply induction_on p · intro r exact ⟨∅, C r, by rw [rename_C]⟩ · rintro p q ⟨s, p, rfl⟩ ⟨t, q, rfl⟩ refine ⟨s ∪ t, ⟨?_, ?_⟩⟩ · refine rename (Subtype.map id ?_) p + rename (Subtype.map id ?_) q <;> simp (config := { contextual := true }) only [id, true_or_iff, or_true_iff, Finset.mem_union, forall_true_iff] · simp only [rename_rename, AlgHom.map_add] rfl · rintro p n ⟨s, p, rfl⟩ refine ⟨insert n s, ⟨?_, ?_⟩⟩ · refine rename (Subtype.map id ?_) p * X ⟨n, s.mem_insert_self n⟩ simp (config := { contextual := true }) only [id, or_true_iff, Finset.mem_insert, forall_true_iff] · simp only [rename_rename, rename_X, Subtype.coe_mk, AlgHom.map_mul] rfl #align mv_polynomial.exists_finset_rename MvPolynomial.exists_finset_rename theorem exists_finset_rename₂ (p₁ p₂ : MvPolynomial σ R) : ∃ (s : Finset σ) (q₁ q₂ : MvPolynomial s R), p₁ = rename (↑) q₁ ∧ p₂ = rename (↑) q₂ := by obtain ⟨s₁, q₁, rfl⟩ := exists_finset_rename p₁ obtain ⟨s₂, q₂, rfl⟩ := exists_finset_rename p₂ classical use s₁ ∪ s₂ use rename (Set.inclusion s₁.subset_union_left) q₁ use rename (Set.inclusion s₁.subset_union_right) q₂ constructor -- Porting note: was `<;> simp <;> rfl` but Lean couldn't infer the arguments · -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [rename_rename (Set.inclusion s₁.subset_union_left)] rfl · -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [rename_rename (Set.inclusion s₁.subset_union_right)] rfl #align mv_polynomial.exists_finset_rename₂ MvPolynomial.exists_finset_rename₂
Mathlib/Algebra/MvPolynomial/Rename.lean
272
279
theorem exists_fin_rename (p : MvPolynomial σ R) : ∃ (n : ℕ) (f : Fin n → σ) (_hf : Injective f) (q : MvPolynomial (Fin n) R), p = rename f q := by
obtain ⟨s, q, rfl⟩ := exists_finset_rename p let n := Fintype.card { x // x ∈ s } let e := Fintype.equivFin { x // x ∈ s } refine ⟨n, (↑) ∘ e.symm, Subtype.val_injective.comp e.symm.injective, rename e q, ?_⟩ rw [← rename_rename, rename_rename e] simp only [Function.comp, Equiv.symm_apply_apply, rename_rename]
import Mathlib.Analysis.NormedSpace.HahnBanach.Extension import Mathlib.Analysis.NormedSpace.RCLike import Mathlib.Analysis.LocallyConvex.Polar #align_import analysis.normed_space.dual from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Topology Bornology universe u v namespace NormedSpace section General variable (𝕜 : Type*) [NontriviallyNormedField 𝕜] variable (E : Type*) [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] variable (F : Type*) [NormedAddCommGroup F] [NormedSpace 𝕜 F] abbrev Dual : Type _ := E →L[𝕜] 𝕜 #align normed_space.dual NormedSpace.Dual -- TODO: helper instance for elaboration of inclusionInDoubleDual_norm_eq until -- leanprover/lean4#2522 is resolved; remove once fixed instance : NormedSpace 𝕜 (Dual 𝕜 E) := inferInstance -- TODO: helper instance for elaboration of inclusionInDoubleDual_norm_le until -- leanprover/lean4#2522 is resolved; remove once fixed instance : SeminormedAddCommGroup (Dual 𝕜 E) := inferInstance def inclusionInDoubleDual : E →L[𝕜] Dual 𝕜 (Dual 𝕜 E) := ContinuousLinearMap.apply 𝕜 𝕜 #align normed_space.inclusion_in_double_dual NormedSpace.inclusionInDoubleDual @[simp] theorem dual_def (x : E) (f : Dual 𝕜 E) : inclusionInDoubleDual 𝕜 E x f = f x := rfl #align normed_space.dual_def NormedSpace.dual_def theorem inclusionInDoubleDual_norm_eq : ‖inclusionInDoubleDual 𝕜 E‖ = ‖ContinuousLinearMap.id 𝕜 (Dual 𝕜 E)‖ := ContinuousLinearMap.opNorm_flip _ #align normed_space.inclusion_in_double_dual_norm_eq NormedSpace.inclusionInDoubleDual_norm_eq
Mathlib/Analysis/NormedSpace/Dual.lean
82
84
theorem inclusionInDoubleDual_norm_le : ‖inclusionInDoubleDual 𝕜 E‖ ≤ 1 := by
rw [inclusionInDoubleDual_norm_eq] exact ContinuousLinearMap.norm_id_le
import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Algebra.Order.BigOperators.Group.List import Mathlib.Data.Set.Pointwise.SMul import Mathlib.Order.WellFoundedSet #align_import group_theory.submonoid.pointwise from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e" open Set Pointwise variable {α : Type*} {G : Type*} {M : Type*} {R : Type*} {A : Type*} variable [Monoid M] [AddMonoid A] namespace Submonoid variable {s t u : Set M} @[to_additive] theorem mul_subset {S : Submonoid M} (hs : s ⊆ S) (ht : t ⊆ S) : s * t ⊆ S := mul_subset_iff.2 fun _x hx _y hy ↦ mul_mem (hs hx) (ht hy) #align submonoid.mul_subset Submonoid.mul_subset #align add_submonoid.add_subset AddSubmonoid.add_subset @[to_additive] theorem mul_subset_closure (hs : s ⊆ u) (ht : t ⊆ u) : s * t ⊆ Submonoid.closure u := mul_subset (Subset.trans hs Submonoid.subset_closure) (Subset.trans ht Submonoid.subset_closure) #align submonoid.mul_subset_closure Submonoid.mul_subset_closure #align add_submonoid.add_subset_closure AddSubmonoid.add_subset_closure @[to_additive] theorem coe_mul_self_eq (s : Submonoid M) : (s : Set M) * s = s := by ext x refine ⟨?_, fun h => ⟨x, h, 1, s.one_mem, mul_one x⟩⟩ rintro ⟨a, ha, b, hb, rfl⟩ exact s.mul_mem ha hb #align submonoid.coe_mul_self_eq Submonoid.coe_mul_self_eq #align add_submonoid.coe_add_self_eq AddSubmonoid.coe_add_self_eq @[to_additive] theorem closure_mul_le (S T : Set M) : closure (S * T) ≤ closure S ⊔ closure T := sInf_le fun _x ⟨_s, hs, _t, ht, hx⟩ => hx ▸ (closure S ⊔ closure T).mul_mem (SetLike.le_def.mp le_sup_left <| subset_closure hs) (SetLike.le_def.mp le_sup_right <| subset_closure ht) #align submonoid.closure_mul_le Submonoid.closure_mul_le #align add_submonoid.closure_add_le AddSubmonoid.closure_add_le @[to_additive] theorem sup_eq_closure_mul (H K : Submonoid M) : H ⊔ K = closure ((H : Set M) * (K : Set M)) := le_antisymm (sup_le (fun h hh => subset_closure ⟨h, hh, 1, K.one_mem, mul_one h⟩) fun k hk => subset_closure ⟨1, H.one_mem, k, hk, one_mul k⟩) ((closure_mul_le _ _).trans <| by rw [closure_eq, closure_eq]) #align submonoid.sup_eq_closure Submonoid.sup_eq_closure_mul #align add_submonoid.sup_eq_closure AddSubmonoid.sup_eq_closure_add @[to_additive] theorem pow_smul_mem_closure_smul {N : Type*} [CommMonoid N] [MulAction M N] [IsScalarTower M N N] (r : M) (s : Set N) {x : N} (hx : x ∈ closure s) : ∃ n : ℕ, r ^ n • x ∈ closure (r • s) := by refine @closure_induction N _ s (fun x : N => ∃ n : ℕ, r ^ n • x ∈ closure (r • s)) _ hx ?_ ?_ ?_ · intro x hx exact ⟨1, subset_closure ⟨_, hx, by rw [pow_one]⟩⟩ · exact ⟨0, by simpa using one_mem _⟩ · rintro x y ⟨nx, hx⟩ ⟨ny, hy⟩ use ny + nx rw [pow_add, mul_smul, ← smul_mul_assoc, mul_comm, ← smul_mul_assoc] exact mul_mem hy hx #align submonoid.pow_smul_mem_closure_smul Submonoid.pow_smul_mem_closure_smul #align add_submonoid.nsmul_vadd_mem_closure_vadd AddSubmonoid.nsmul_vadd_mem_closure_vadd variable [Group G] @[to_additive " The additive submonoid with every element negated. "] protected def inv : Inv (Submonoid G) where inv S := { carrier := (S : Set G)⁻¹ mul_mem' := fun ha hb => by rw [mem_inv, mul_inv_rev]; exact mul_mem hb ha one_mem' := mem_inv.2 <| by rw [inv_one]; exact S.one_mem' } #align submonoid.has_inv Submonoid.inv #align add_submonoid.has_neg AddSubmonoid.neg scoped[Pointwise] attribute [instance] Submonoid.inv AddSubmonoid.neg @[to_additive (attr := simp)] theorem coe_inv (S : Submonoid G) : ↑S⁻¹ = (S : Set G)⁻¹ := rfl #align submonoid.coe_inv Submonoid.coe_inv #align add_submonoid.coe_neg AddSubmonoid.coe_neg @[to_additive (attr := simp)] theorem mem_inv {g : G} {S : Submonoid G} : g ∈ S⁻¹ ↔ g⁻¹ ∈ S := Iff.rfl #align submonoid.mem_inv Submonoid.mem_inv #align add_submonoid.mem_neg AddSubmonoid.mem_neg @[to_additive "Inversion is involutive on additive submonoids."] def involutiveInv : InvolutiveInv (Submonoid G) := SetLike.coe_injective.involutiveInv _ fun _ => rfl scoped[Pointwise] attribute [instance] Submonoid.involutiveInv AddSubmonoid.involutiveNeg @[to_additive (attr := simp)] theorem inv_le_inv (S T : Submonoid G) : S⁻¹ ≤ T⁻¹ ↔ S ≤ T := SetLike.coe_subset_coe.symm.trans Set.inv_subset_inv #align submonoid.inv_le_inv Submonoid.inv_le_inv #align add_submonoid.neg_le_neg AddSubmonoid.neg_le_neg @[to_additive] theorem inv_le (S T : Submonoid G) : S⁻¹ ≤ T ↔ S ≤ T⁻¹ := SetLike.coe_subset_coe.symm.trans Set.inv_subset #align submonoid.inv_le Submonoid.inv_le #align add_submonoid.neg_le AddSubmonoid.neg_le @[to_additive (attr := simps!) "Pointwise negation of additive submonoids as an order isomorphism"] def invOrderIso : Submonoid G ≃o Submonoid G where toEquiv := Equiv.inv _ map_rel_iff' := inv_le_inv _ _ #align submonoid.inv_order_iso Submonoid.invOrderIso #align add_submonoid.neg_order_iso AddSubmonoid.negOrderIso @[to_additive]
Mathlib/Algebra/Group/Submonoid/Pointwise.lean
165
170
theorem closure_inv (s : Set G) : closure s⁻¹ = (closure s)⁻¹ := by
apply le_antisymm · rw [closure_le, coe_inv, ← Set.inv_subset, inv_inv] exact subset_closure · rw [inv_le, closure_le, coe_inv, ← Set.inv_subset] exact subset_closure
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Transvection import Mathlib.MeasureTheory.Group.LIntegral import Mathlib.MeasureTheory.Integral.Marginal import Mathlib.MeasureTheory.Measure.Stieltjes import Mathlib.MeasureTheory.Measure.Haar.OfBasis #align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral noncomputable section open scoped Classical open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ENNReal (ofReal) open scoped ENNReal NNReal Topology namespace Real variable {ι : Type*} [Fintype ι] theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by haveI : IsAddLeftInvariant StieltjesFunction.id.measure := ⟨fun a => Eq.symm <| Real.measure_ext_Ioo_rat fun p q => by simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo, sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim, StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩ have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1 rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;> simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero, StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one] conv_rhs => rw [addHaarMeasure_unique StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A] simp only [volume, Basis.addHaar, one_smul] #align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by simp [volume_eq_stieltjes_id] #align real.volume_val Real.volume_val @[simp] theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ico Real.volume_Ico @[simp] theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Icc Real.volume_Icc @[simp] theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioo Real.volume_Ioo @[simp] theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioc Real.volume_Ioc -- @[simp] -- Porting note (#10618): simp can prove this theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val] #align real.volume_singleton Real.volume_singleton -- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628 theorem volume_univ : volume (univ : Set ℝ) = ∞ := ENNReal.eq_top_of_forall_nnreal_le fun r => calc (r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by simp _ ≤ volume univ := measure_mono (subset_univ _) #align real.volume_univ Real.volume_univ @[simp] theorem volume_ball (a r : ℝ) : volume (Metric.ball a r) = ofReal (2 * r) := by rw [ball_eq_Ioo, volume_Ioo, ← sub_add, add_sub_cancel_left, two_mul] #align real.volume_ball Real.volume_ball @[simp] theorem volume_closedBall (a r : ℝ) : volume (Metric.closedBall a r) = ofReal (2 * r) := by rw [closedBall_eq_Icc, volume_Icc, ← sub_add, add_sub_cancel_left, two_mul] #align real.volume_closed_ball Real.volume_closedBall @[simp] theorem volume_emetric_ball (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.ball a r) = 2 * r := by rcases eq_or_ne r ∞ with (rfl | hr) · rw [Metric.emetric_ball_top, volume_univ, two_mul, _root_.top_add] · lift r to ℝ≥0 using hr rw [Metric.emetric_ball_nnreal, volume_ball, two_mul, ← NNReal.coe_add, ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul] #align real.volume_emetric_ball Real.volume_emetric_ball @[simp]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
127
132
theorem volume_emetric_closedBall (a : ℝ) (r : ℝ≥0∞) : volume (EMetric.closedBall a r) = 2 * r := by
rcases eq_or_ne r ∞ with (rfl | hr) · rw [EMetric.closedBall_top, volume_univ, two_mul, _root_.top_add] · lift r to ℝ≥0 using hr rw [Metric.emetric_closedBall_nnreal, volume_closedBall, two_mul, ← NNReal.coe_add, ENNReal.ofReal_coe_nnreal, ENNReal.coe_add, two_mul]
import Mathlib.Algebra.Field.Basic import Mathlib.Algebra.GroupWithZero.Units.Equiv import Mathlib.Algebra.Order.Field.Defs import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Order.Bounds.OrderIso import Mathlib.Tactic.Positivity.Core #align_import algebra.order.field.basic from "leanprover-community/mathlib"@"84771a9f5f0bd5e5d6218811556508ddf476dcbd" open Function OrderDual variable {ι α β : Type*} section LinearOrderedSemifield variable [LinearOrderedSemifield α] {a b c d e : α} {m n : ℤ} @[simps! (config := { simpRhs := true })] def OrderIso.mulLeft₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulLeft₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_left ha } #align order_iso.mul_left₀ OrderIso.mulLeft₀ #align order_iso.mul_left₀_symm_apply OrderIso.mulLeft₀_symm_apply #align order_iso.mul_left₀_apply OrderIso.mulLeft₀_apply @[simps! (config := { simpRhs := true })] def OrderIso.mulRight₀ (a : α) (ha : 0 < a) : α ≃o α := { Equiv.mulRight₀ a ha.ne' with map_rel_iff' := @fun _ _ => mul_le_mul_right ha } #align order_iso.mul_right₀ OrderIso.mulRight₀ #align order_iso.mul_right₀_symm_apply OrderIso.mulRight₀_symm_apply #align order_iso.mul_right₀_apply OrderIso.mulRight₀_apply theorem le_div_iff (hc : 0 < c) : a ≤ b / c ↔ a * c ≤ b := ⟨fun h => div_mul_cancel₀ b (ne_of_lt hc).symm ▸ mul_le_mul_of_nonneg_right h hc.le, fun h => calc a = a * c * (1 / c) := mul_mul_div a (ne_of_lt hc).symm _ ≤ b * (1 / c) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hc).le _ = b / c := (div_eq_mul_one_div b c).symm ⟩ #align le_div_iff le_div_iff theorem le_div_iff' (hc : 0 < c) : a ≤ b / c ↔ c * a ≤ b := by rw [mul_comm, le_div_iff hc] #align le_div_iff' le_div_iff' theorem div_le_iff (hb : 0 < b) : a / b ≤ c ↔ a ≤ c * b := ⟨fun h => calc a = a / b * b := by rw [div_mul_cancel₀ _ (ne_of_lt hb).symm] _ ≤ c * b := mul_le_mul_of_nonneg_right h hb.le , fun h => calc a / b = a * (1 / b) := div_eq_mul_one_div a b _ ≤ c * b * (1 / b) := mul_le_mul_of_nonneg_right h (one_div_pos.2 hb).le _ = c * b / b := (div_eq_mul_one_div (c * b) b).symm _ = c := by refine (div_eq_iff (ne_of_gt hb)).mpr rfl ⟩ #align div_le_iff div_le_iff theorem div_le_iff' (hb : 0 < b) : a / b ≤ c ↔ a ≤ b * c := by rw [mul_comm, div_le_iff hb] #align div_le_iff' div_le_iff' lemma div_le_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b ≤ c ↔ a / c ≤ b := by rw [div_le_iff hb, div_le_iff' hc] theorem lt_div_iff (hc : 0 < c) : a < b / c ↔ a * c < b := lt_iff_lt_of_le_iff_le <| div_le_iff hc #align lt_div_iff lt_div_iff theorem lt_div_iff' (hc : 0 < c) : a < b / c ↔ c * a < b := by rw [mul_comm, lt_div_iff hc] #align lt_div_iff' lt_div_iff' theorem div_lt_iff (hc : 0 < c) : b / c < a ↔ b < a * c := lt_iff_lt_of_le_iff_le (le_div_iff hc) #align div_lt_iff div_lt_iff theorem div_lt_iff' (hc : 0 < c) : b / c < a ↔ b < c * a := by rw [mul_comm, div_lt_iff hc] #align div_lt_iff' div_lt_iff' lemma div_lt_comm₀ (hb : 0 < b) (hc : 0 < c) : a / b < c ↔ a / c < b := by rw [div_lt_iff hb, div_lt_iff' hc] theorem inv_mul_le_iff (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_le_iff' h #align inv_mul_le_iff inv_mul_le_iff theorem inv_mul_le_iff' (h : 0 < b) : b⁻¹ * a ≤ c ↔ a ≤ c * b := by rw [inv_mul_le_iff h, mul_comm] #align inv_mul_le_iff' inv_mul_le_iff' theorem mul_inv_le_iff (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ b * c := by rw [mul_comm, inv_mul_le_iff h] #align mul_inv_le_iff mul_inv_le_iff theorem mul_inv_le_iff' (h : 0 < b) : a * b⁻¹ ≤ c ↔ a ≤ c * b := by rw [mul_comm, inv_mul_le_iff' h] #align mul_inv_le_iff' mul_inv_le_iff' theorem div_self_le_one (a : α) : a / a ≤ 1 := if h : a = 0 then by simp [h] else by simp [h] #align div_self_le_one div_self_le_one theorem inv_mul_lt_iff (h : 0 < b) : b⁻¹ * a < c ↔ a < b * c := by rw [inv_eq_one_div, mul_comm, ← div_eq_mul_one_div] exact div_lt_iff' h #align inv_mul_lt_iff inv_mul_lt_iff theorem inv_mul_lt_iff' (h : 0 < b) : b⁻¹ * a < c ↔ a < c * b := by rw [inv_mul_lt_iff h, mul_comm] #align inv_mul_lt_iff' inv_mul_lt_iff' theorem mul_inv_lt_iff (h : 0 < b) : a * b⁻¹ < c ↔ a < b * c := by rw [mul_comm, inv_mul_lt_iff h] #align mul_inv_lt_iff mul_inv_lt_iff theorem mul_inv_lt_iff' (h : 0 < b) : a * b⁻¹ < c ↔ a < c * b := by rw [mul_comm, inv_mul_lt_iff' h] #align mul_inv_lt_iff' mul_inv_lt_iff' theorem inv_pos_le_iff_one_le_mul (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ b * a := by rw [inv_eq_one_div] exact div_le_iff ha #align inv_pos_le_iff_one_le_mul inv_pos_le_iff_one_le_mul theorem inv_pos_le_iff_one_le_mul' (ha : 0 < a) : a⁻¹ ≤ b ↔ 1 ≤ a * b := by rw [inv_eq_one_div] exact div_le_iff' ha #align inv_pos_le_iff_one_le_mul' inv_pos_le_iff_one_le_mul' theorem inv_pos_lt_iff_one_lt_mul (ha : 0 < a) : a⁻¹ < b ↔ 1 < b * a := by rw [inv_eq_one_div] exact div_lt_iff ha #align inv_pos_lt_iff_one_lt_mul inv_pos_lt_iff_one_lt_mul theorem inv_pos_lt_iff_one_lt_mul' (ha : 0 < a) : a⁻¹ < b ↔ 1 < a * b := by rw [inv_eq_one_div] exact div_lt_iff' ha #align inv_pos_lt_iff_one_lt_mul' inv_pos_lt_iff_one_lt_mul' theorem div_le_of_nonneg_of_le_mul (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ c * b) : a / b ≤ c := by rcases eq_or_lt_of_le hb with (rfl | hb') · simp only [div_zero, hc] · rwa [div_le_iff hb'] #align div_le_of_nonneg_of_le_mul div_le_of_nonneg_of_le_mul lemma mul_le_of_nonneg_of_le_div (hb : 0 ≤ b) (hc : 0 ≤ c) (h : a ≤ b / c) : a * c ≤ b := by obtain rfl | hc := hc.eq_or_lt · simpa using hb · rwa [le_div_iff hc] at h #align mul_le_of_nonneg_of_le_div mul_le_of_nonneg_of_le_div theorem div_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a / b ≤ 1 := div_le_of_nonneg_of_le_mul hb zero_le_one <| by rwa [one_mul] #align div_le_one_of_le div_le_one_of_le lemma mul_inv_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : a * b⁻¹ ≤ 1 := by simpa only [← div_eq_mul_inv] using div_le_one_of_le h hb lemma inv_mul_le_one_of_le (h : a ≤ b) (hb : 0 ≤ b) : b⁻¹ * a ≤ 1 := by simpa only [← div_eq_inv_mul] using div_le_one_of_le h hb @[gcongr] theorem inv_le_inv_of_le (ha : 0 < a) (h : a ≤ b) : b⁻¹ ≤ a⁻¹ := by rwa [← one_div a, le_div_iff' ha, ← div_eq_mul_inv, div_le_iff (ha.trans_le h), one_mul] #align inv_le_inv_of_le inv_le_inv_of_le theorem inv_le_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b⁻¹ ↔ b ≤ a := by rw [← one_div, div_le_iff ha, ← div_eq_inv_mul, le_div_iff hb, one_mul] #align inv_le_inv inv_le_inv theorem inv_le (ha : 0 < a) (hb : 0 < b) : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by rw [← inv_le_inv hb (inv_pos.2 ha), inv_inv] #align inv_le inv_le theorem inv_le_of_inv_le (ha : 0 < a) (h : a⁻¹ ≤ b) : b⁻¹ ≤ a := (inv_le ha ((inv_pos.2 ha).trans_le h)).1 h #align inv_le_of_inv_le inv_le_of_inv_le theorem le_inv (ha : 0 < a) (hb : 0 < b) : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by rw [← inv_le_inv (inv_pos.2 hb) ha, inv_inv] #align le_inv le_inv theorem inv_lt_inv (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b⁻¹ ↔ b < a := lt_iff_lt_of_le_iff_le (inv_le_inv hb ha) #align inv_lt_inv inv_lt_inv @[gcongr] theorem inv_lt_inv_of_lt (hb : 0 < b) (h : b < a) : a⁻¹ < b⁻¹ := (inv_lt_inv (hb.trans h) hb).2 h #align inv_lt_inv_of_lt inv_lt_inv_of_lt theorem inv_lt (ha : 0 < a) (hb : 0 < b) : a⁻¹ < b ↔ b⁻¹ < a := lt_iff_lt_of_le_iff_le (le_inv hb ha) #align inv_lt inv_lt theorem inv_lt_of_inv_lt (ha : 0 < a) (h : a⁻¹ < b) : b⁻¹ < a := (inv_lt ha ((inv_pos.2 ha).trans h)).1 h #align inv_lt_of_inv_lt inv_lt_of_inv_lt theorem lt_inv (ha : 0 < a) (hb : 0 < b) : a < b⁻¹ ↔ b < a⁻¹ := lt_iff_lt_of_le_iff_le (inv_le hb ha) #align lt_inv lt_inv theorem inv_lt_one (ha : 1 < a) : a⁻¹ < 1 := by rwa [inv_lt (zero_lt_one.trans ha) zero_lt_one, inv_one] #align inv_lt_one inv_lt_one theorem one_lt_inv (h₁ : 0 < a) (h₂ : a < 1) : 1 < a⁻¹ := by rwa [lt_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one] #align one_lt_inv one_lt_inv theorem inv_le_one (ha : 1 ≤ a) : a⁻¹ ≤ 1 := by rwa [inv_le (zero_lt_one.trans_le ha) zero_lt_one, inv_one] #align inv_le_one inv_le_one theorem one_le_inv (h₁ : 0 < a) (h₂ : a ≤ 1) : 1 ≤ a⁻¹ := by rwa [le_inv (@zero_lt_one α _ _ _ _ _) h₁, inv_one] #align one_le_inv one_le_inv theorem inv_lt_one_iff_of_pos (h₀ : 0 < a) : a⁻¹ < 1 ↔ 1 < a := ⟨fun h₁ => inv_inv a ▸ one_lt_inv (inv_pos.2 h₀) h₁, inv_lt_one⟩ #align inv_lt_one_iff_of_pos inv_lt_one_iff_of_pos theorem inv_lt_one_iff : a⁻¹ < 1 ↔ a ≤ 0 ∨ 1 < a := by rcases le_or_lt a 0 with ha | ha · simp [ha, (inv_nonpos.2 ha).trans_lt zero_lt_one] · simp only [ha.not_le, false_or_iff, inv_lt_one_iff_of_pos ha] #align inv_lt_one_iff inv_lt_one_iff theorem one_lt_inv_iff : 1 < a⁻¹ ↔ 0 < a ∧ a < 1 := ⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans h), inv_inv a ▸ inv_lt_one h⟩, and_imp.2 one_lt_inv⟩ #align one_lt_inv_iff one_lt_inv_iff theorem inv_le_one_iff : a⁻¹ ≤ 1 ↔ a ≤ 0 ∨ 1 ≤ a := by rcases em (a = 1) with (rfl | ha) · simp [le_rfl] · simp only [Ne.le_iff_lt (Ne.symm ha), Ne.le_iff_lt (mt inv_eq_one.1 ha), inv_lt_one_iff] #align inv_le_one_iff inv_le_one_iff theorem one_le_inv_iff : 1 ≤ a⁻¹ ↔ 0 < a ∧ a ≤ 1 := ⟨fun h => ⟨inv_pos.1 (zero_lt_one.trans_le h), inv_inv a ▸ inv_le_one h⟩, and_imp.2 one_le_inv⟩ #align one_le_inv_iff one_le_inv_iff @[mono, gcongr] lemma div_le_div_of_nonneg_right (hab : a ≤ b) (hc : 0 ≤ c) : a / c ≤ b / c := by rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c] exact mul_le_mul_of_nonneg_right hab (one_div_nonneg.2 hc) #align div_le_div_of_le_of_nonneg div_le_div_of_nonneg_right @[gcongr] lemma div_lt_div_of_pos_right (h : a < b) (hc : 0 < c) : a / c < b / c := by rw [div_eq_mul_one_div a c, div_eq_mul_one_div b c] exact mul_lt_mul_of_pos_right h (one_div_pos.2 hc) #align div_lt_div_of_lt div_lt_div_of_pos_right -- Not a `mono` lemma b/c `div_le_div` is strictly more general @[gcongr] lemma div_le_div_of_nonneg_left (ha : 0 ≤ a) (hc : 0 < c) (h : c ≤ b) : a / b ≤ a / c := by rw [div_eq_mul_inv, div_eq_mul_inv] exact mul_le_mul_of_nonneg_left ((inv_le_inv (hc.trans_le h) hc).mpr h) ha #align div_le_div_of_le_left div_le_div_of_nonneg_left @[gcongr] lemma div_lt_div_of_pos_left (ha : 0 < a) (hc : 0 < c) (h : c < b) : a / b < a / c := by simpa only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv (hc.trans h) hc] #align div_lt_div_of_lt_left div_lt_div_of_pos_left -- 2024-02-16 @[deprecated] alias div_le_div_of_le_of_nonneg := div_le_div_of_nonneg_right @[deprecated] alias div_lt_div_of_lt := div_lt_div_of_pos_right @[deprecated] alias div_le_div_of_le_left := div_le_div_of_nonneg_left @[deprecated] alias div_lt_div_of_lt_left := div_lt_div_of_pos_left @[deprecated div_le_div_of_nonneg_right (since := "2024-02-16")] lemma div_le_div_of_le (hc : 0 ≤ c) (hab : a ≤ b) : a / c ≤ b / c := div_le_div_of_nonneg_right hab hc #align div_le_div_of_le div_le_div_of_le theorem div_le_div_right (hc : 0 < c) : a / c ≤ b / c ↔ a ≤ b := ⟨le_imp_le_of_lt_imp_lt fun hab ↦ div_lt_div_of_pos_right hab hc, fun hab ↦ div_le_div_of_nonneg_right hab hc.le⟩ #align div_le_div_right div_le_div_right theorem div_lt_div_right (hc : 0 < c) : a / c < b / c ↔ a < b := lt_iff_lt_of_le_iff_le <| div_le_div_right hc #align div_lt_div_right div_lt_div_right theorem div_lt_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b < a / c ↔ c < b := by simp only [div_eq_mul_inv, mul_lt_mul_left ha, inv_lt_inv hb hc] #align div_lt_div_left div_lt_div_left theorem div_le_div_left (ha : 0 < a) (hb : 0 < b) (hc : 0 < c) : a / b ≤ a / c ↔ c ≤ b := le_iff_le_iff_lt_iff_lt.2 (div_lt_div_left ha hc hb) #align div_le_div_left div_le_div_left theorem div_lt_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b < c / d ↔ a * d < c * b := by rw [lt_div_iff d0, div_mul_eq_mul_div, div_lt_iff b0] #align div_lt_div_iff div_lt_div_iff theorem div_le_div_iff (b0 : 0 < b) (d0 : 0 < d) : a / b ≤ c / d ↔ a * d ≤ c * b := by rw [le_div_iff d0, div_mul_eq_mul_div, div_le_iff b0] #align div_le_div_iff div_le_div_iff @[mono, gcongr] theorem div_le_div (hc : 0 ≤ c) (hac : a ≤ c) (hd : 0 < d) (hbd : d ≤ b) : a / b ≤ c / d := by rw [div_le_div_iff (hd.trans_le hbd) hd] exact mul_le_mul hac hbd hd.le hc #align div_le_div div_le_div @[gcongr] theorem div_lt_div (hac : a < c) (hbd : d ≤ b) (c0 : 0 ≤ c) (d0 : 0 < d) : a / b < c / d := (div_lt_div_iff (d0.trans_le hbd) d0).2 (mul_lt_mul hac hbd d0 c0) #align div_lt_div div_lt_div theorem div_lt_div' (hac : a ≤ c) (hbd : d < b) (c0 : 0 < c) (d0 : 0 < d) : a / b < c / d := (div_lt_div_iff (d0.trans hbd) d0).2 (mul_lt_mul' hac hbd d0.le c0) #align div_lt_div' div_lt_div' theorem div_le_self (ha : 0 ≤ a) (hb : 1 ≤ b) : a / b ≤ a := by simpa only [div_one] using div_le_div_of_nonneg_left ha zero_lt_one hb #align div_le_self div_le_self theorem div_lt_self (ha : 0 < a) (hb : 1 < b) : a / b < a := by simpa only [div_one] using div_lt_div_of_pos_left ha zero_lt_one hb #align div_lt_self div_lt_self theorem le_div_self (ha : 0 ≤ a) (hb₀ : 0 < b) (hb₁ : b ≤ 1) : a ≤ a / b := by simpa only [div_one] using div_le_div_of_nonneg_left ha hb₀ hb₁ #align le_div_self le_div_self theorem one_le_div (hb : 0 < b) : 1 ≤ a / b ↔ b ≤ a := by rw [le_div_iff hb, one_mul] #align one_le_div one_le_div theorem div_le_one (hb : 0 < b) : a / b ≤ 1 ↔ a ≤ b := by rw [div_le_iff hb, one_mul] #align div_le_one div_le_one theorem one_lt_div (hb : 0 < b) : 1 < a / b ↔ b < a := by rw [lt_div_iff hb, one_mul] #align one_lt_div one_lt_div theorem div_lt_one (hb : 0 < b) : a / b < 1 ↔ a < b := by rw [div_lt_iff hb, one_mul] #align div_lt_one div_lt_one theorem one_div_le (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ b ↔ 1 / b ≤ a := by simpa using inv_le ha hb #align one_div_le one_div_le theorem one_div_lt (ha : 0 < a) (hb : 0 < b) : 1 / a < b ↔ 1 / b < a := by simpa using inv_lt ha hb #align one_div_lt one_div_lt theorem le_one_div (ha : 0 < a) (hb : 0 < b) : a ≤ 1 / b ↔ b ≤ 1 / a := by simpa using le_inv ha hb #align le_one_div le_one_div theorem lt_one_div (ha : 0 < a) (hb : 0 < b) : a < 1 / b ↔ b < 1 / a := by simpa using lt_inv ha hb #align lt_one_div lt_one_div theorem one_div_le_one_div_of_le (ha : 0 < a) (h : a ≤ b) : 1 / b ≤ 1 / a := by simpa using inv_le_inv_of_le ha h #align one_div_le_one_div_of_le one_div_le_one_div_of_le theorem one_div_lt_one_div_of_lt (ha : 0 < a) (h : a < b) : 1 / b < 1 / a := by rwa [lt_div_iff' ha, ← div_eq_mul_one_div, div_lt_one (ha.trans h)] #align one_div_lt_one_div_of_lt one_div_lt_one_div_of_lt theorem le_of_one_div_le_one_div (ha : 0 < a) (h : 1 / a ≤ 1 / b) : b ≤ a := le_imp_le_of_lt_imp_lt (one_div_lt_one_div_of_lt ha) h #align le_of_one_div_le_one_div le_of_one_div_le_one_div theorem lt_of_one_div_lt_one_div (ha : 0 < a) (h : 1 / a < 1 / b) : b < a := lt_imp_lt_of_le_imp_le (one_div_le_one_div_of_le ha) h #align lt_of_one_div_lt_one_div lt_of_one_div_lt_one_div theorem one_div_le_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a ≤ 1 / b ↔ b ≤ a := div_le_div_left zero_lt_one ha hb #align one_div_le_one_div one_div_le_one_div theorem one_div_lt_one_div (ha : 0 < a) (hb : 0 < b) : 1 / a < 1 / b ↔ b < a := div_lt_div_left zero_lt_one ha hb #align one_div_lt_one_div one_div_lt_one_div theorem one_lt_one_div (h1 : 0 < a) (h2 : a < 1) : 1 < 1 / a := by rwa [lt_one_div (@zero_lt_one α _ _ _ _ _) h1, one_div_one] #align one_lt_one_div one_lt_one_div theorem one_le_one_div (h1 : 0 < a) (h2 : a ≤ 1) : 1 ≤ 1 / a := by rwa [le_one_div (@zero_lt_one α _ _ _ _ _) h1, one_div_one] #align one_le_one_div one_le_one_div theorem add_halves (a : α) : a / 2 + a / 2 = a := by rw [div_add_div_same, ← two_mul, mul_div_cancel_left₀ a two_ne_zero] #align add_halves add_halves -- TODO: Generalize to `DivisionSemiring` theorem add_self_div_two (a : α) : (a + a) / 2 = a := by rw [← mul_two, mul_div_cancel_right₀ a two_ne_zero] #align add_self_div_two add_self_div_two theorem half_pos (h : 0 < a) : 0 < a / 2 := div_pos h zero_lt_two #align half_pos half_pos theorem one_half_pos : (0 : α) < 1 / 2 := half_pos zero_lt_one #align one_half_pos one_half_pos @[simp] theorem half_le_self_iff : a / 2 ≤ a ↔ 0 ≤ a := by rw [div_le_iff (zero_lt_two' α), mul_two, le_add_iff_nonneg_left] #align half_le_self_iff half_le_self_iff @[simp] theorem half_lt_self_iff : a / 2 < a ↔ 0 < a := by rw [div_lt_iff (zero_lt_two' α), mul_two, lt_add_iff_pos_left] #align half_lt_self_iff half_lt_self_iff alias ⟨_, half_le_self⟩ := half_le_self_iff #align half_le_self half_le_self alias ⟨_, half_lt_self⟩ := half_lt_self_iff #align half_lt_self half_lt_self alias div_two_lt_of_pos := half_lt_self #align div_two_lt_of_pos div_two_lt_of_pos theorem one_half_lt_one : (1 / 2 : α) < 1 := half_lt_self zero_lt_one #align one_half_lt_one one_half_lt_one theorem two_inv_lt_one : (2⁻¹ : α) < 1 := (one_div _).symm.trans_lt one_half_lt_one #align two_inv_lt_one two_inv_lt_one theorem left_lt_add_div_two : a < (a + b) / 2 ↔ a < b := by simp [lt_div_iff, mul_two] #align left_lt_add_div_two left_lt_add_div_two theorem add_div_two_lt_right : (a + b) / 2 < b ↔ a < b := by simp [div_lt_iff, mul_two] #align add_div_two_lt_right add_div_two_lt_right theorem add_thirds (a : α) : a / 3 + a / 3 + a / 3 = a := by rw [div_add_div_same, div_add_div_same, ← two_mul, ← add_one_mul 2 a, two_add_one_eq_three, mul_div_cancel_left₀ a three_ne_zero] @[simp] lemma div_pos_iff_of_pos_left (ha : 0 < a) : 0 < a / b ↔ 0 < b := by simp only [div_eq_mul_inv, mul_pos_iff_of_pos_left ha, inv_pos] @[simp] lemma div_pos_iff_of_pos_right (hb : 0 < b) : 0 < a / b ↔ 0 < a := by simp only [div_eq_mul_inv, mul_pos_iff_of_pos_right (inv_pos.2 hb)] theorem mul_le_mul_of_mul_div_le (h : a * (b / c) ≤ d) (hc : 0 < c) : b * a ≤ d * c := by rw [← mul_div_assoc] at h rwa [mul_comm b, ← div_le_iff hc] #align mul_le_mul_of_mul_div_le mul_le_mul_of_mul_div_le theorem div_mul_le_div_mul_of_div_le_div (h : a / b ≤ c / d) (he : 0 ≤ e) : a / (b * e) ≤ c / (d * e) := by rw [div_mul_eq_div_mul_one_div, div_mul_eq_div_mul_one_div] exact mul_le_mul_of_nonneg_right h (one_div_nonneg.2 he) #align div_mul_le_div_mul_of_div_le_div div_mul_le_div_mul_of_div_le_div theorem exists_pos_mul_lt {a : α} (h : 0 < a) (b : α) : ∃ c : α, 0 < c ∧ b * c < a := by have : 0 < a / max (b + 1) 1 := div_pos h (lt_max_iff.2 (Or.inr zero_lt_one)) refine ⟨a / max (b + 1) 1, this, ?_⟩ rw [← lt_div_iff this, div_div_cancel' h.ne'] exact lt_max_iff.2 (Or.inl <| lt_add_one _) #align exists_pos_mul_lt exists_pos_mul_lt theorem exists_pos_lt_mul {a : α} (h : 0 < a) (b : α) : ∃ c : α, 0 < c ∧ b < c * a := let ⟨c, hc₀, hc⟩ := exists_pos_mul_lt h b; ⟨c⁻¹, inv_pos.2 hc₀, by rwa [← div_eq_inv_mul, lt_div_iff hc₀]⟩ #align exists_pos_lt_mul exists_pos_lt_mul lemma monotone_div_right_of_nonneg (ha : 0 ≤ a) : Monotone (· / a) := fun _b _c hbc ↦ div_le_div_of_nonneg_right hbc ha lemma strictMono_div_right_of_pos (ha : 0 < a) : StrictMono (· / a) := fun _b _c hbc ↦ div_lt_div_of_pos_right hbc ha theorem Monotone.div_const {β : Type*} [Preorder β] {f : β → α} (hf : Monotone f) {c : α} (hc : 0 ≤ c) : Monotone fun x => f x / c := (monotone_div_right_of_nonneg hc).comp hf #align monotone.div_const Monotone.div_const theorem StrictMono.div_const {β : Type*} [Preorder β] {f : β → α} (hf : StrictMono f) {c : α} (hc : 0 < c) : StrictMono fun x => f x / c := by simpa only [div_eq_mul_inv] using hf.mul_const (inv_pos.2 hc) #align strict_mono.div_const StrictMono.div_const -- see Note [lower instance priority] instance (priority := 100) LinearOrderedSemiField.toDenselyOrdered : DenselyOrdered α where dense a₁ a₂ h := ⟨(a₁ + a₂) / 2, calc a₁ = (a₁ + a₁) / 2 := (add_self_div_two a₁).symm _ < (a₁ + a₂) / 2 := div_lt_div_of_pos_right (add_lt_add_left h _) zero_lt_two , calc (a₁ + a₂) / 2 < (a₂ + a₂) / 2 := div_lt_div_of_pos_right (add_lt_add_right h _) zero_lt_two _ = a₂ := add_self_div_two a₂ ⟩ #align linear_ordered_field.to_densely_ordered LinearOrderedSemiField.toDenselyOrdered theorem min_div_div_right {c : α} (hc : 0 ≤ c) (a b : α) : min (a / c) (b / c) = min a b / c := (monotone_div_right_of_nonneg hc).map_min.symm #align min_div_div_right min_div_div_right theorem max_div_div_right {c : α} (hc : 0 ≤ c) (a b : α) : max (a / c) (b / c) = max a b / c := (monotone_div_right_of_nonneg hc).map_max.symm #align max_div_div_right max_div_div_right theorem one_div_strictAntiOn : StrictAntiOn (fun x : α => 1 / x) (Set.Ioi 0) := fun _ x1 _ y1 xy => (one_div_lt_one_div (Set.mem_Ioi.mp y1) (Set.mem_Ioi.mp x1)).mpr xy #align one_div_strict_anti_on one_div_strictAntiOn theorem one_div_pow_le_one_div_pow_of_le (a1 : 1 ≤ a) {m n : ℕ} (mn : m ≤ n) : 1 / a ^ n ≤ 1 / a ^ m := by refine (one_div_le_one_div ?_ ?_).mpr (pow_le_pow_right a1 mn) <;> exact pow_pos (zero_lt_one.trans_le a1) _ #align one_div_pow_le_one_div_pow_of_le one_div_pow_le_one_div_pow_of_le
Mathlib/Algebra/Order/Field/Basic.lean
571
574
theorem one_div_pow_lt_one_div_pow_of_lt (a1 : 1 < a) {m n : ℕ} (mn : m < n) : 1 / a ^ n < 1 / a ^ m := by
refine (one_div_lt_one_div ?_ ?_).2 (pow_lt_pow_right a1 mn) <;> exact pow_pos (zero_lt_one.trans a1) _
import Mathlib.Topology.Constructions #align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494" open Set Filter Function Topology Filter variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} variable [TopologicalSpace α] @[simp] theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a := bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl #align nhds_bind_nhds_within nhds_bind_nhdsWithin @[simp] theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x } #align eventually_nhds_nhds_within eventually_nhds_nhdsWithin theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x := eventually_inf_principal #align eventually_nhds_within_iff eventually_nhdsWithin_iff theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} : (∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s := frequently_inf_principal.trans <| by simp only [and_comm] #align frequently_nhds_within_iff frequently_nhdsWithin_iff theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} : z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff] #align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within @[simp] theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩ simp only [eventually_nhdsWithin_iff] at h ⊢ exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs #align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin theorem nhdsWithin_eq (a : α) (s : Set α) : 𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) := ((nhds_basis_opens a).inf_principal s).eq_biInf #align nhds_within_eq nhdsWithin_eq theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by rw [nhdsWithin, principal_univ, inf_top_eq] #align nhds_within_univ nhdsWithin_univ theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s) (t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t := h.inf_principal t #align nhds_within_has_basis nhdsWithin_hasBasis theorem nhdsWithin_basis_open (a : α) (t : Set α) : (𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t := nhdsWithin_hasBasis (nhds_basis_opens a) t #align nhds_within_basis_open nhdsWithin_basis_open theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff #align mem_nhds_within mem_nhdsWithin theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t := (nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff #align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) : s \ t ∈ 𝓝[tᶜ] x := diff_mem_inf_principal_compl hs t #align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) : s \ t' ∈ 𝓝[t \ t'] x := by rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc] exact inter_mem_inf hs (mem_principal_self _) #align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) : t ∈ 𝓝 a := by rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩ exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw #align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t := eventually_inf_principal #align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and] #align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t := set_eventuallyEq_iff_inf_principal.symm #align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x := set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal #align nhds_within_le_iff nhdsWithin_le_iff -- Porting note: golfed, dropped an unneeded assumption theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝[t] a := by lift a to t using h replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs rwa [← map_nhds_subtype_val, mem_map] #align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a := mem_inf_of_left h #align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a := mem_inf_of_right (mem_principal_self s) #align self_mem_nhds_within self_mem_nhdsWithin theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s := self_mem_nhdsWithin #align eventually_mem_nhds_within eventually_mem_nhdsWithin theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a := inter_mem self_mem_nhdsWithin (mem_inf_of_left h) #align inter_mem_nhds_within inter_mem_nhdsWithin theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a := inf_le_inf_left _ (principal_mono.mpr h) #align nhds_within_mono nhdsWithin_mono theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a := le_inf (pure_le_nhds a) (le_principal_iff.2 ha) #align pure_le_nhds_within pure_le_nhdsWithin theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t := pure_le_nhdsWithin ha ht #align mem_of_mem_nhds_within mem_of_mem_nhdsWithin theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α} (h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x := mem_of_mem_nhdsWithin hx h #align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) : Tendsto (fun _ : β => a) l (𝓝[s] a) := tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha #align tendsto_const_nhds_within tendsto_const_nhdsWithin theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s] a = 𝓝[s ∩ t] a := le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h))) (inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left)) #align nhds_within_restrict'' nhdsWithin_restrict'' theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict'' s <| mem_inf_of_left h #align nhds_within_restrict' nhdsWithin_restrict' theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀) #align nhds_within_restrict nhdsWithin_restrict theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a := nhdsWithin_le_iff.mpr h #align nhds_within_le_of_mem nhdsWithin_le_of_mem theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by rw [← nhdsWithin_univ] apply nhdsWithin_le_of_mem exact univ_mem #align nhds_within_le_nhds nhdsWithin_le_nhds theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂] #align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin' theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂] #align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin @[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a := inf_eq_left.trans le_principal_iff #align nhds_within_eq_nhds nhdsWithin_eq_nhds theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a := nhdsWithin_eq_nhds.2 <| h.mem_nhds ha #align is_open.nhds_within_eq IsOpen.nhdsWithin_eq theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (ht : IsOpen t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝 a := by rw [← ht.nhdsWithin_eq h] exact preimage_nhdsWithin_coinduced' h hs #align preimage_nhds_within_coinduced preimage_nhds_within_coinduced @[simp] theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq] #align nhds_within_empty nhdsWithin_empty theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by delta nhdsWithin rw [← inf_sup_left, sup_principal] #align nhds_within_union nhdsWithin_union theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) : 𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a := Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert] #align nhds_within_bUnion nhdsWithin_biUnion theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) : 𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS] #align nhds_within_sUnion nhdsWithin_sUnion theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) : 𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range] #align nhds_within_Union nhdsWithin_iUnion theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by delta nhdsWithin rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem] #align nhds_within_inter nhdsWithin_inter theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by delta nhdsWithin rw [← inf_principal, inf_assoc] #align nhds_within_inter' nhdsWithin_inter' theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by rw [nhdsWithin_inter, inf_eq_right] exact nhdsWithin_le_of_mem h #align nhds_within_inter_of_mem nhdsWithin_inter_of_mem theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by rw [inter_comm, nhdsWithin_inter_of_mem h] #align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem' @[simp] theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)] #align nhds_within_singleton nhdsWithin_singleton @[simp] theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton] #align nhds_within_insert nhdsWithin_insert theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by simp #align mem_nhds_within_insert mem_nhdsWithin_insert theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : insert a t ∈ 𝓝[insert a s] a := by simp [mem_of_superset h] #align insert_mem_nhds_within_insert insert_mem_nhdsWithin_insert theorem insert_mem_nhds_iff {a : α} {s : Set α} : insert a s ∈ 𝓝 a ↔ s ∈ 𝓝[≠] a := by simp only [nhdsWithin, mem_inf_principal, mem_compl_iff, mem_singleton_iff, or_iff_not_imp_left, insert_def] #align insert_mem_nhds_iff insert_mem_nhds_iff @[simp] theorem nhdsWithin_compl_singleton_sup_pure (a : α) : 𝓝[≠] a ⊔ pure a = 𝓝 a := by rw [← nhdsWithin_singleton, ← nhdsWithin_union, compl_union_self, nhdsWithin_univ] #align nhds_within_compl_singleton_sup_pure nhdsWithin_compl_singleton_sup_pure
Mathlib/Topology/ContinuousOn.lean
303
307
theorem nhdsWithin_prod {α : Type*} [TopologicalSpace α] {β : Type*} [TopologicalSpace β] {s u : Set α} {t v : Set β} {a : α} {b : β} (hu : u ∈ 𝓝[s] a) (hv : v ∈ 𝓝[t] b) : u ×ˢ v ∈ 𝓝[s ×ˢ t] (a, b) := by
rw [nhdsWithin_prod_eq] exact prod_mem_prod hu hv
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Comp import Mathlib.Analysis.Calculus.FDeriv.RestrictScalars #align_import analysis.calculus.deriv.comp from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w open scoped Classical open Topology Filter ENNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} section Composition variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F] [IsScalarTower 𝕜 𝕜' F] {s' t' : Set 𝕜'} {h : 𝕜 → 𝕜'} {h₁ : 𝕜 → 𝕜} {h₂ : 𝕜' → 𝕜'} {h' h₂' : 𝕜'} {h₁' : 𝕜} {g₁ : 𝕜' → F} {g₁' : F} {L' : Filter 𝕜'} {y : 𝕜'} (x) theorem HasDerivAtFilter.scomp (hg : HasDerivAtFilter g₁ g₁' (h x) L') (hh : HasDerivAtFilter h h' x L) (hL : Tendsto h L L') : HasDerivAtFilter (g₁ ∘ h) (h' • g₁') x L := by simpa using ((hg.restrictScalars 𝕜).comp x hh hL).hasDerivAtFilter #align has_deriv_at_filter.scomp HasDerivAtFilter.scomp theorem HasDerivAtFilter.scomp_of_eq (hg : HasDerivAtFilter g₁ g₁' y L') (hh : HasDerivAtFilter h h' x L) (hy : y = h x) (hL : Tendsto h L L') : HasDerivAtFilter (g₁ ∘ h) (h' • g₁') x L := by rw [hy] at hg; exact hg.scomp x hh hL theorem HasDerivWithinAt.scomp_hasDerivAt (hg : HasDerivWithinAt g₁ g₁' s' (h x)) (hh : HasDerivAt h h' x) (hs : ∀ x, h x ∈ s') : HasDerivAt (g₁ ∘ h) (h' • g₁') x := hg.scomp x hh <| tendsto_inf.2 ⟨hh.continuousAt, tendsto_principal.2 <| eventually_of_forall hs⟩ #align has_deriv_within_at.scomp_has_deriv_at HasDerivWithinAt.scomp_hasDerivAt theorem HasDerivWithinAt.scomp_hasDerivAt_of_eq (hg : HasDerivWithinAt g₁ g₁' s' y) (hh : HasDerivAt h h' x) (hs : ∀ x, h x ∈ s') (hy : y = h x) : HasDerivAt (g₁ ∘ h) (h' • g₁') x := by rw [hy] at hg; exact hg.scomp_hasDerivAt x hh hs nonrec theorem HasDerivWithinAt.scomp (hg : HasDerivWithinAt g₁ g₁' t' (h x)) (hh : HasDerivWithinAt h h' s x) (hst : MapsTo h s t') : HasDerivWithinAt (g₁ ∘ h) (h' • g₁') s x := hg.scomp x hh <| hh.continuousWithinAt.tendsto_nhdsWithin hst #align has_deriv_within_at.scomp HasDerivWithinAt.scomp theorem HasDerivWithinAt.scomp_of_eq (hg : HasDerivWithinAt g₁ g₁' t' y) (hh : HasDerivWithinAt h h' s x) (hst : MapsTo h s t') (hy : y = h x) : HasDerivWithinAt (g₁ ∘ h) (h' • g₁') s x := by rw [hy] at hg; exact hg.scomp x hh hst nonrec theorem HasDerivAt.scomp (hg : HasDerivAt g₁ g₁' (h x)) (hh : HasDerivAt h h' x) : HasDerivAt (g₁ ∘ h) (h' • g₁') x := hg.scomp x hh hh.continuousAt #align has_deriv_at.scomp HasDerivAt.scomp theorem HasDerivAt.scomp_of_eq (hg : HasDerivAt g₁ g₁' y) (hh : HasDerivAt h h' x) (hy : y = h x) : HasDerivAt (g₁ ∘ h) (h' • g₁') x := by rw [hy] at hg; exact hg.scomp x hh theorem HasStrictDerivAt.scomp (hg : HasStrictDerivAt g₁ g₁' (h x)) (hh : HasStrictDerivAt h h' x) : HasStrictDerivAt (g₁ ∘ h) (h' • g₁') x := by simpa using ((hg.restrictScalars 𝕜).comp x hh).hasStrictDerivAt #align has_strict_deriv_at.scomp HasStrictDerivAt.scomp theorem HasStrictDerivAt.scomp_of_eq (hg : HasStrictDerivAt g₁ g₁' y) (hh : HasStrictDerivAt h h' x) (hy : y = h x) : HasStrictDerivAt (g₁ ∘ h) (h' • g₁') x := by rw [hy] at hg; exact hg.scomp x hh theorem HasDerivAt.scomp_hasDerivWithinAt (hg : HasDerivAt g₁ g₁' (h x)) (hh : HasDerivWithinAt h h' s x) : HasDerivWithinAt (g₁ ∘ h) (h' • g₁') s x := HasDerivWithinAt.scomp x hg.hasDerivWithinAt hh (mapsTo_univ _ _) #align has_deriv_at.scomp_has_deriv_within_at HasDerivAt.scomp_hasDerivWithinAt theorem HasDerivAt.scomp_hasDerivWithinAt_of_eq (hg : HasDerivAt g₁ g₁' y) (hh : HasDerivWithinAt h h' s x) (hy : y = h x) : HasDerivWithinAt (g₁ ∘ h) (h' • g₁') s x := by rw [hy] at hg; exact hg.scomp_hasDerivWithinAt x hh theorem derivWithin.scomp (hg : DifferentiableWithinAt 𝕜' g₁ t' (h x)) (hh : DifferentiableWithinAt 𝕜 h s x) (hs : MapsTo h s t') (hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin (g₁ ∘ h) s x = derivWithin h s x • derivWithin g₁ t' (h x) := (HasDerivWithinAt.scomp x hg.hasDerivWithinAt hh.hasDerivWithinAt hs).derivWithin hxs #align deriv_within.scomp derivWithin.scomp theorem derivWithin.scomp_of_eq (hg : DifferentiableWithinAt 𝕜' g₁ t' y) (hh : DifferentiableWithinAt 𝕜 h s x) (hs : MapsTo h s t') (hxs : UniqueDiffWithinAt 𝕜 s x) (hy : y = h x) : derivWithin (g₁ ∘ h) s x = derivWithin h s x • derivWithin g₁ t' (h x) := by rw [hy] at hg; exact derivWithin.scomp x hg hh hs hxs theorem deriv.scomp (hg : DifferentiableAt 𝕜' g₁ (h x)) (hh : DifferentiableAt 𝕜 h x) : deriv (g₁ ∘ h) x = deriv h x • deriv g₁ (h x) := (HasDerivAt.scomp x hg.hasDerivAt hh.hasDerivAt).deriv #align deriv.scomp deriv.scomp theorem deriv.scomp_of_eq (hg : DifferentiableAt 𝕜' g₁ y) (hh : DifferentiableAt 𝕜 h x) (hy : y = h x) : deriv (g₁ ∘ h) x = deriv h x • deriv g₁ (h x) := by rw [hy] at hg; exact deriv.scomp x hg hh theorem HasDerivAtFilter.comp_hasFDerivAtFilter {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) {L'' : Filter E} (hh₂ : HasDerivAtFilter h₂ h₂' (f x) L') (hf : HasFDerivAtFilter f f' x L'') (hL : Tendsto f L'' L') : HasFDerivAtFilter (h₂ ∘ f) (h₂' • f') x L'' := by convert (hh₂.restrictScalars 𝕜).comp x hf hL ext x simp [mul_comm] #align has_deriv_at_filter.comp_has_fderiv_at_filter HasDerivAtFilter.comp_hasFDerivAtFilter theorem HasDerivAtFilter.comp_hasFDerivAtFilter_of_eq {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) {L'' : Filter E} (hh₂ : HasDerivAtFilter h₂ h₂' y L') (hf : HasFDerivAtFilter f f' x L'') (hL : Tendsto f L'' L') (hy : y = f x) : HasFDerivAtFilter (h₂ ∘ f) (h₂' • f') x L'' := by rw [hy] at hh₂; exact hh₂.comp_hasFDerivAtFilter x hf hL theorem HasStrictDerivAt.comp_hasStrictFDerivAt {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) (hh : HasStrictDerivAt h₂ h₂' (f x)) (hf : HasStrictFDerivAt f f' x) : HasStrictFDerivAt (h₂ ∘ f) (h₂' • f') x := by rw [HasStrictDerivAt] at hh convert (hh.restrictScalars 𝕜).comp x hf ext x simp [mul_comm] #align has_strict_deriv_at.comp_has_strict_fderiv_at HasStrictDerivAt.comp_hasStrictFDerivAt theorem HasStrictDerivAt.comp_hasStrictFDerivAt_of_eq {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) (hh : HasStrictDerivAt h₂ h₂' y) (hf : HasStrictFDerivAt f f' x) (hy : y = f x) : HasStrictFDerivAt (h₂ ∘ f) (h₂' • f') x := by rw [hy] at hh; exact hh.comp_hasStrictFDerivAt x hf theorem HasDerivAt.comp_hasFDerivAt {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) (hh : HasDerivAt h₂ h₂' (f x)) (hf : HasFDerivAt f f' x) : HasFDerivAt (h₂ ∘ f) (h₂' • f') x := hh.comp_hasFDerivAtFilter x hf hf.continuousAt #align has_deriv_at.comp_has_fderiv_at HasDerivAt.comp_hasFDerivAt theorem HasDerivAt.comp_hasFDerivAt_of_eq {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} (x) (hh : HasDerivAt h₂ h₂' y) (hf : HasFDerivAt f f' x) (hy : y = f x) : HasFDerivAt (h₂ ∘ f) (h₂' • f') x := by rw [hy] at hh; exact hh.comp_hasFDerivAt x hf theorem HasDerivAt.comp_hasFDerivWithinAt {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} {s} (x) (hh : HasDerivAt h₂ h₂' (f x)) (hf : HasFDerivWithinAt f f' s x) : HasFDerivWithinAt (h₂ ∘ f) (h₂' • f') s x := hh.comp_hasFDerivAtFilter x hf hf.continuousWithinAt #align has_deriv_at.comp_has_fderiv_within_at HasDerivAt.comp_hasFDerivWithinAt theorem HasDerivAt.comp_hasFDerivWithinAt_of_eq {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} {s} (x) (hh : HasDerivAt h₂ h₂' y) (hf : HasFDerivWithinAt f f' s x) (hy : y = f x) : HasFDerivWithinAt (h₂ ∘ f) (h₂' • f') s x := by rw [hy] at hh; exact hh.comp_hasFDerivWithinAt x hf theorem HasDerivWithinAt.comp_hasFDerivWithinAt {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} {s t} (x) (hh : HasDerivWithinAt h₂ h₂' t (f x)) (hf : HasFDerivWithinAt f f' s x) (hst : MapsTo f s t) : HasFDerivWithinAt (h₂ ∘ f) (h₂' • f') s x := hh.comp_hasFDerivAtFilter x hf <| hf.continuousWithinAt.tendsto_nhdsWithin hst #align has_deriv_within_at.comp_has_fderiv_within_at HasDerivWithinAt.comp_hasFDerivWithinAt theorem HasDerivWithinAt.comp_hasFDerivWithinAt_of_eq {f : E → 𝕜'} {f' : E →L[𝕜] 𝕜'} {s t} (x) (hh : HasDerivWithinAt h₂ h₂' t y) (hf : HasFDerivWithinAt f f' s x) (hst : MapsTo f s t) (hy : y = f x) : HasFDerivWithinAt (h₂ ∘ f) (h₂' • f') s x := by rw [hy] at hh; exact hh.comp_hasFDerivWithinAt x hf hst theorem HasDerivAtFilter.comp (hh₂ : HasDerivAtFilter h₂ h₂' (h x) L') (hh : HasDerivAtFilter h h' x L) (hL : Tendsto h L L') : HasDerivAtFilter (h₂ ∘ h) (h₂' * h') x L := by rw [mul_comm] exact hh₂.scomp x hh hL #align has_deriv_at_filter.comp HasDerivAtFilter.comp theorem HasDerivAtFilter.comp_of_eq (hh₂ : HasDerivAtFilter h₂ h₂' y L') (hh : HasDerivAtFilter h h' x L) (hL : Tendsto h L L') (hy : y = h x) : HasDerivAtFilter (h₂ ∘ h) (h₂' * h') x L := by rw [hy] at hh₂; exact hh₂.comp x hh hL theorem HasDerivWithinAt.comp (hh₂ : HasDerivWithinAt h₂ h₂' s' (h x)) (hh : HasDerivWithinAt h h' s x) (hst : MapsTo h s s') : HasDerivWithinAt (h₂ ∘ h) (h₂' * h') s x := by rw [mul_comm] exact hh₂.scomp x hh hst #align has_deriv_within_at.comp HasDerivWithinAt.comp
Mathlib/Analysis/Calculus/Deriv/Comp.lean
244
247
theorem HasDerivWithinAt.comp_of_eq (hh₂ : HasDerivWithinAt h₂ h₂' s' y) (hh : HasDerivWithinAt h h' s x) (hst : MapsTo h s s') (hy : y = h x) : HasDerivWithinAt (h₂ ∘ h) (h₂' * h') s x := by
rw [hy] at hh₂; exact hh₂.comp x hh hst
import Mathlib.Data.List.Infix #align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2" -- Make sure we don't import algebra assert_not_exists Monoid variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ) namespace List def rdrop : List α := l.take (l.length - n) #align list.rdrop List.rdrop @[simp] theorem rdrop_nil : rdrop ([] : List α) n = [] := by simp [rdrop] #align list.rdrop_nil List.rdrop_nil @[simp]
Mathlib/Data/List/DropRight.lean
51
51
theorem rdrop_zero : rdrop l 0 = l := by
simp [rdrop]
import Mathlib.Analysis.Calculus.Deriv.Basic import Mathlib.Analysis.Calculus.ContDiff.Defs #align_import analysis.calculus.iterated_deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical Topology open Filter Asymptotics Set variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] def iteratedDeriv (n : ℕ) (f : 𝕜 → F) (x : 𝕜) : F := (iteratedFDeriv 𝕜 n f x : (Fin n → 𝕜) → F) fun _ : Fin n => 1 #align iterated_deriv iteratedDeriv def iteratedDerivWithin (n : ℕ) (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) : F := (iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) fun _ : Fin n => 1 #align iterated_deriv_within iteratedDerivWithin variable {n : ℕ} {f : 𝕜 → F} {s : Set 𝕜} {x : 𝕜} theorem iteratedDerivWithin_univ : iteratedDerivWithin n f univ = iteratedDeriv n f := by ext x rw [iteratedDerivWithin, iteratedDeriv, iteratedFDerivWithin_univ] #align iterated_deriv_within_univ iteratedDerivWithin_univ theorem iteratedDerivWithin_eq_iteratedFDerivWithin : iteratedDerivWithin n f s x = (iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) fun _ : Fin n => 1 := rfl #align iterated_deriv_within_eq_iterated_fderiv_within iteratedDerivWithin_eq_iteratedFDerivWithin theorem iteratedDerivWithin_eq_equiv_comp : iteratedDerivWithin n f s = (ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F).symm ∘ iteratedFDerivWithin 𝕜 n f s := by ext x; rfl #align iterated_deriv_within_eq_equiv_comp iteratedDerivWithin_eq_equiv_comp theorem iteratedFDerivWithin_eq_equiv_comp : iteratedFDerivWithin 𝕜 n f s = ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F ∘ iteratedDerivWithin n f s := by rw [iteratedDerivWithin_eq_equiv_comp, ← Function.comp.assoc, LinearIsometryEquiv.self_comp_symm, Function.id_comp] #align iterated_fderiv_within_eq_equiv_comp iteratedFDerivWithin_eq_equiv_comp theorem iteratedFDerivWithin_apply_eq_iteratedDerivWithin_mul_prod {m : Fin n → 𝕜} : (iteratedFDerivWithin 𝕜 n f s x : (Fin n → 𝕜) → F) m = (∏ i, m i) • iteratedDerivWithin n f s x := by rw [iteratedDerivWithin_eq_iteratedFDerivWithin, ← ContinuousMultilinearMap.map_smul_univ] simp #align iterated_fderiv_within_apply_eq_iterated_deriv_within_mul_prod iteratedFDerivWithin_apply_eq_iteratedDerivWithin_mul_prod theorem norm_iteratedFDerivWithin_eq_norm_iteratedDerivWithin : ‖iteratedFDerivWithin 𝕜 n f s x‖ = ‖iteratedDerivWithin n f s x‖ := by rw [iteratedDerivWithin_eq_equiv_comp, Function.comp_apply, LinearIsometryEquiv.norm_map] #align norm_iterated_fderiv_within_eq_norm_iterated_deriv_within norm_iteratedFDerivWithin_eq_norm_iteratedDerivWithin @[simp] theorem iteratedDerivWithin_zero : iteratedDerivWithin 0 f s = f := by ext x simp [iteratedDerivWithin] #align iterated_deriv_within_zero iteratedDerivWithin_zero @[simp] theorem iteratedDerivWithin_one {x : 𝕜} (h : UniqueDiffWithinAt 𝕜 s x) : iteratedDerivWithin 1 f s x = derivWithin f s x := by simp only [iteratedDerivWithin, iteratedFDerivWithin_one_apply h]; rfl #align iterated_deriv_within_one iteratedDerivWithin_one theorem contDiffOn_of_continuousOn_differentiableOn_deriv {n : ℕ∞} (Hcont : ∀ m : ℕ, (m : ℕ∞) ≤ n → ContinuousOn (fun x => iteratedDerivWithin m f s x) s) (Hdiff : ∀ m : ℕ, (m : ℕ∞) < n → DifferentiableOn 𝕜 (fun x => iteratedDerivWithin m f s x) s) : ContDiffOn 𝕜 n f s := by apply contDiffOn_of_continuousOn_differentiableOn · simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_continuousOn_iff] · simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_differentiableOn_iff] #align cont_diff_on_of_continuous_on_differentiable_on_deriv contDiffOn_of_continuousOn_differentiableOn_deriv theorem contDiffOn_of_differentiableOn_deriv {n : ℕ∞} (h : ∀ m : ℕ, (m : ℕ∞) ≤ n → DifferentiableOn 𝕜 (iteratedDerivWithin m f s) s) : ContDiffOn 𝕜 n f s := by apply contDiffOn_of_differentiableOn simpa only [iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_differentiableOn_iff] #align cont_diff_on_of_differentiable_on_deriv contDiffOn_of_differentiableOn_deriv theorem ContDiffOn.continuousOn_iteratedDerivWithin {n : ℕ∞} {m : ℕ} (h : ContDiffOn 𝕜 n f s) (hmn : (m : ℕ∞) ≤ n) (hs : UniqueDiffOn 𝕜 s) : ContinuousOn (iteratedDerivWithin m f s) s := by simpa only [iteratedDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_continuousOn_iff] using h.continuousOn_iteratedFDerivWithin hmn hs #align cont_diff_on.continuous_on_iterated_deriv_within ContDiffOn.continuousOn_iteratedDerivWithin theorem ContDiffWithinAt.differentiableWithinAt_iteratedDerivWithin {n : ℕ∞} {m : ℕ} (h : ContDiffWithinAt 𝕜 n f s x) (hmn : (m : ℕ∞) < n) (hs : UniqueDiffOn 𝕜 (insert x s)) : DifferentiableWithinAt 𝕜 (iteratedDerivWithin m f s) s x := by simpa only [iteratedDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_differentiableWithinAt_iff] using h.differentiableWithinAt_iteratedFDerivWithin hmn hs #align cont_diff_within_at.differentiable_within_at_iterated_deriv_within ContDiffWithinAt.differentiableWithinAt_iteratedDerivWithin theorem ContDiffOn.differentiableOn_iteratedDerivWithin {n : ℕ∞} {m : ℕ} (h : ContDiffOn 𝕜 n f s) (hmn : (m : ℕ∞) < n) (hs : UniqueDiffOn 𝕜 s) : DifferentiableOn 𝕜 (iteratedDerivWithin m f s) s := fun x hx => (h x hx).differentiableWithinAt_iteratedDerivWithin hmn <| by rwa [insert_eq_of_mem hx] #align cont_diff_on.differentiable_on_iterated_deriv_within ContDiffOn.differentiableOn_iteratedDerivWithin theorem contDiffOn_iff_continuousOn_differentiableOn_deriv {n : ℕ∞} (hs : UniqueDiffOn 𝕜 s) : ContDiffOn 𝕜 n f s ↔ (∀ m : ℕ, (m : ℕ∞) ≤ n → ContinuousOn (iteratedDerivWithin m f s) s) ∧ ∀ m : ℕ, (m : ℕ∞) < n → DifferentiableOn 𝕜 (iteratedDerivWithin m f s) s := by simp only [contDiffOn_iff_continuousOn_differentiableOn hs, iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_continuousOn_iff, LinearIsometryEquiv.comp_differentiableOn_iff] #align cont_diff_on_iff_continuous_on_differentiable_on_deriv contDiffOn_iff_continuousOn_differentiableOn_deriv theorem iteratedDerivWithin_succ {x : 𝕜} (hxs : UniqueDiffWithinAt 𝕜 s x) : iteratedDerivWithin (n + 1) f s x = derivWithin (iteratedDerivWithin n f s) s x := by rw [iteratedDerivWithin_eq_iteratedFDerivWithin, iteratedFDerivWithin_succ_apply_left, iteratedFDerivWithin_eq_equiv_comp, LinearIsometryEquiv.comp_fderivWithin _ hxs, derivWithin] change ((ContinuousMultilinearMap.mkPiRing 𝕜 (Fin n) ((fderivWithin 𝕜 (iteratedDerivWithin n f s) s x : 𝕜 → F) 1) : (Fin n → 𝕜) → F) fun i : Fin n => 1) = (fderivWithin 𝕜 (iteratedDerivWithin n f s) s x : 𝕜 → F) 1 simp #align iterated_deriv_within_succ iteratedDerivWithin_succ theorem iteratedDerivWithin_eq_iterate {x : 𝕜} (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) : iteratedDerivWithin n f s x = (fun g : 𝕜 → F => derivWithin g s)^[n] f x := by induction' n with n IH generalizing x · simp · rw [iteratedDerivWithin_succ (hs x hx), Function.iterate_succ'] exact derivWithin_congr (fun y hy => IH hy) (IH hx) #align iterated_deriv_within_eq_iterate iteratedDerivWithin_eq_iterate theorem iteratedDerivWithin_succ' {x : 𝕜} (hxs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) : iteratedDerivWithin (n + 1) f s x = (iteratedDerivWithin n (derivWithin f s) s) x := by rw [iteratedDerivWithin_eq_iterate hxs hx, iteratedDerivWithin_eq_iterate hxs hx]; rfl #align iterated_deriv_within_succ' iteratedDerivWithin_succ' theorem iteratedDeriv_eq_iteratedFDeriv : iteratedDeriv n f x = (iteratedFDeriv 𝕜 n f x : (Fin n → 𝕜) → F) fun _ : Fin n => 1 := rfl #align iterated_deriv_eq_iterated_fderiv iteratedDeriv_eq_iteratedFDeriv theorem iteratedDeriv_eq_equiv_comp : iteratedDeriv n f = (ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F).symm ∘ iteratedFDeriv 𝕜 n f := by ext x; rfl #align iterated_deriv_eq_equiv_comp iteratedDeriv_eq_equiv_comp theorem iteratedFDeriv_eq_equiv_comp : iteratedFDeriv 𝕜 n f = ContinuousMultilinearMap.piFieldEquiv 𝕜 (Fin n) F ∘ iteratedDeriv n f := by rw [iteratedDeriv_eq_equiv_comp, ← Function.comp.assoc, LinearIsometryEquiv.self_comp_symm, Function.id_comp] #align iterated_fderiv_eq_equiv_comp iteratedFDeriv_eq_equiv_comp theorem iteratedFDeriv_apply_eq_iteratedDeriv_mul_prod {m : Fin n → 𝕜} : (iteratedFDeriv 𝕜 n f x : (Fin n → 𝕜) → F) m = (∏ i, m i) • iteratedDeriv n f x := by rw [iteratedDeriv_eq_iteratedFDeriv, ← ContinuousMultilinearMap.map_smul_univ]; simp #align iterated_fderiv_apply_eq_iterated_deriv_mul_prod iteratedFDeriv_apply_eq_iteratedDeriv_mul_prod theorem norm_iteratedFDeriv_eq_norm_iteratedDeriv : ‖iteratedFDeriv 𝕜 n f x‖ = ‖iteratedDeriv n f x‖ := by rw [iteratedDeriv_eq_equiv_comp, Function.comp_apply, LinearIsometryEquiv.norm_map] #align norm_iterated_fderiv_eq_norm_iterated_deriv norm_iteratedFDeriv_eq_norm_iteratedDeriv @[simp]
Mathlib/Analysis/Calculus/IteratedDeriv/Defs.lean
247
247
theorem iteratedDeriv_zero : iteratedDeriv 0 f = f := by
ext x; simp [iteratedDeriv]
import Mathlib.CategoryTheory.Monoidal.Functor #align_import category_theory.monoidal.End from "leanprover-community/mathlib"@"85075bccb68ab7fa49fb05db816233fb790e4fe9" universe v u namespace CategoryTheory variable (C : Type u) [Category.{v} C] def endofunctorMonoidalCategory : MonoidalCategory (C ⥤ C) where tensorObj F G := F ⋙ G whiskerLeft X _ _ F := whiskerLeft X F whiskerRight F X := whiskerRight F X tensorHom α β := α ◫ β tensorUnit := 𝟭 C associator F G H := Functor.associator F G H leftUnitor F := Functor.leftUnitor F rightUnitor F := Functor.rightUnitor F #align category_theory.endofunctor_monoidal_category CategoryTheory.endofunctorMonoidalCategory open CategoryTheory.MonoidalCategory attribute [local instance] endofunctorMonoidalCategory @[simp] theorem endofunctorMonoidalCategory_tensorUnit_obj (X : C) : (𝟙_ (C ⥤ C)).obj X = X := rfl @[simp] theorem endofunctorMonoidalCategory_tensorUnit_map {X Y : C} (f : X ⟶ Y) : (𝟙_ (C ⥤ C)).map f = f := rfl @[simp] theorem endofunctorMonoidalCategory_tensorObj_obj (F G : C ⥤ C) (X : C) : (F ⊗ G).obj X = G.obj (F.obj X) := rfl @[simp] theorem endofunctorMonoidalCategory_tensorObj_map (F G : C ⥤ C) {X Y : C} (f : X ⟶ Y) : (F ⊗ G).map f = G.map (F.map f) := rfl @[simp] theorem endofunctorMonoidalCategory_tensorMap_app {F G H K : C ⥤ C} {α : F ⟶ G} {β : H ⟶ K} (X : C) : (α ⊗ β).app X = β.app (F.obj X) ≫ K.map (α.app X) := rfl @[simp] theorem endofunctorMonoidalCategory_whiskerLeft_app {F H K : C ⥤ C} {β : H ⟶ K} (X : C) : (F ◁ β).app X = β.app (F.obj X) := rfl @[simp] theorem endofunctorMonoidalCategory_whiskerRight_app {F G H : C ⥤ C} {α : F ⟶ G} (X : C) : (α ▷ H).app X = H.map (α.app X) := rfl @[simp] theorem endofunctorMonoidalCategory_associator_hom_app (F G H : C ⥤ C) (X : C) : (α_ F G H).hom.app X = 𝟙 _ := rfl @[simp] theorem endofunctorMonoidalCategory_associator_inv_app (F G H : C ⥤ C) (X : C) : (α_ F G H).inv.app X = 𝟙 _ := rfl @[simp] theorem endofunctorMonoidalCategory_leftUnitor_hom_app (F : C ⥤ C) (X : C) : (λ_ F).hom.app X = 𝟙 _ := rfl @[simp] theorem endofunctorMonoidalCategory_leftUnitor_inv_app (F : C ⥤ C) (X : C) : (λ_ F).inv.app X = 𝟙 _ := rfl @[simp] theorem endofunctorMonoidalCategory_rightUnitor_hom_app (F : C ⥤ C) (X : C) : (ρ_ F).hom.app X = 𝟙 _ := rfl @[simp] theorem endofunctorMonoidalCategory_rightUnitor_inv_app (F : C ⥤ C) (X : C) : (ρ_ F).inv.app X = 𝟙 _ := rfl @[simps!] def tensoringRightMonoidal [MonoidalCategory.{v} C] : MonoidalFunctor C (C ⥤ C) := { tensoringRight C with ε := (rightUnitorNatIso C).inv μ := fun X Y => (isoWhiskerRight (curriedAssociatorNatIso C) ((evaluation C (C ⥤ C)).obj X ⋙ (evaluation C C).obj Y)).hom } #align category_theory.tensoring_right_monoidal CategoryTheory.tensoringRightMonoidal variable {C} variable {M : Type*} [Category M] [MonoidalCategory M] (F : MonoidalFunctor M (C ⥤ C)) @[reassoc (attr := simp)] theorem μ_hom_inv_app (i j : M) (X : C) : (F.μ i j).app X ≫ (F.μIso i j).inv.app X = 𝟙 _ := (F.μIso i j).hom_inv_id_app X #align category_theory.μ_hom_inv_app CategoryTheory.μ_hom_inv_app @[reassoc (attr := simp)] theorem μ_inv_hom_app (i j : M) (X : C) : (F.μIso i j).inv.app X ≫ (F.μ i j).app X = 𝟙 _ := (F.μIso i j).inv_hom_id_app X #align category_theory.μ_inv_hom_app CategoryTheory.μ_inv_hom_app @[reassoc (attr := simp)] theorem ε_hom_inv_app (X : C) : F.ε.app X ≫ F.εIso.inv.app X = 𝟙 _ := F.εIso.hom_inv_id_app X #align category_theory.ε_hom_inv_app CategoryTheory.ε_hom_inv_app @[reassoc (attr := simp)] theorem ε_inv_hom_app (X : C) : F.εIso.inv.app X ≫ F.ε.app X = 𝟙 _ := F.εIso.inv_hom_id_app X #align category_theory.ε_inv_hom_app CategoryTheory.ε_inv_hom_app @[reassoc (attr := simp)] theorem ε_naturality {X Y : C} (f : X ⟶ Y) : F.ε.app X ≫ (F.obj (𝟙_ M)).map f = f ≫ F.ε.app Y := (F.ε.naturality f).symm #align category_theory.ε_naturality CategoryTheory.ε_naturality @[reassoc (attr := simp)] theorem ε_inv_naturality {X Y : C} (f : X ⟶ Y) : (MonoidalFunctor.εIso F).inv.app X ≫ (𝟙_ (C ⥤ C)).map f = F.εIso.inv.app X ≫ f := by aesop_cat #align category_theory.ε_inv_naturality CategoryTheory.ε_inv_naturality @[reassoc (attr := simp)] theorem μ_naturality {m n : M} {X Y : C} (f : X ⟶ Y) : (F.obj n).map ((F.obj m).map f) ≫ (F.μ m n).app Y = (F.μ m n).app X ≫ (F.obj _).map f := (F.toLaxMonoidalFunctor.μ m n).naturality f #align category_theory.μ_naturality CategoryTheory.μ_naturality -- This is a simp lemma in the reverse direction via `NatTrans.naturality`. @[reassoc] theorem μ_inv_naturality {m n : M} {X Y : C} (f : X ⟶ Y) : (F.μIso m n).inv.app X ≫ (F.obj n).map ((F.obj m).map f) = (F.obj _).map f ≫ (F.μIso m n).inv.app Y := ((F.μIso m n).inv.naturality f).symm #align category_theory.μ_inv_naturality CategoryTheory.μ_inv_naturality -- This is not a simp lemma since it could be proved by the lemmas later. @[reassoc] theorem μ_naturality₂ {m n m' n' : M} (f : m ⟶ m') (g : n ⟶ n') (X : C) : (F.map g).app ((F.obj m).obj X) ≫ (F.obj n').map ((F.map f).app X) ≫ (F.μ m' n').app X = (F.μ m n).app X ≫ (F.map (f ⊗ g)).app X := by have := congr_app (F.toLaxMonoidalFunctor.μ_natural f g) X dsimp at this simpa using this #align category_theory.μ_naturality₂ CategoryTheory.μ_naturality₂ @[reassoc (attr := simp)] theorem μ_naturalityₗ {m n m' : M} (f : m ⟶ m') (X : C) : (F.obj n).map ((F.map f).app X) ≫ (F.μ m' n).app X = (F.μ m n).app X ≫ (F.map (f ▷ n)).app X := by rw [← tensorHom_id, ← μ_naturality₂ F f (𝟙 n) X] simp #align category_theory.μ_naturalityₗ CategoryTheory.μ_naturalityₗ @[reassoc (attr := simp)] theorem μ_naturalityᵣ {m n n' : M} (g : n ⟶ n') (X : C) : (F.map g).app ((F.obj m).obj X) ≫ (F.μ m n').app X = (F.μ m n).app X ≫ (F.map (m ◁ g)).app X := by rw [← id_tensorHom, ← μ_naturality₂ F (𝟙 m) g X] simp #align category_theory.μ_naturalityᵣ CategoryTheory.μ_naturalityᵣ @[reassoc (attr := simp)] theorem μ_inv_naturalityₗ {m n m' : M} (f : m ⟶ m') (X : C) : (F.μIso m n).inv.app X ≫ (F.obj n).map ((F.map f).app X) = (F.map (f ▷ n)).app X ≫ (F.μIso m' n).inv.app X := by rw [← IsIso.comp_inv_eq, Category.assoc, ← IsIso.eq_inv_comp] simp #align category_theory.μ_inv_naturalityₗ CategoryTheory.μ_inv_naturalityₗ @[reassoc (attr := simp)] theorem μ_inv_naturalityᵣ {m n n' : M} (g : n ⟶ n') (X : C) : (F.μIso m n).inv.app X ≫ (F.map g).app ((F.obj m).obj X) = (F.map (m ◁ g)).app X ≫ (F.μIso m n').inv.app X := by rw [← IsIso.comp_inv_eq, Category.assoc, ← IsIso.eq_inv_comp] simp #align category_theory.μ_inv_naturalityᵣ CategoryTheory.μ_inv_naturalityᵣ @[reassoc] theorem left_unitality_app (n : M) (X : C) : (F.obj n).map (F.ε.app X) ≫ (F.μ (𝟙_ M) n).app X ≫ (F.map (λ_ n).hom).app X = 𝟙 _ := by have := congr_app (F.toLaxMonoidalFunctor.left_unitality n) X dsimp at this simpa using this.symm #align category_theory.left_unitality_app CategoryTheory.left_unitality_app -- Porting note: linter claims `simp can prove it`, but cnot @[reassoc (attr := simp, nolint simpNF)]
Mathlib/CategoryTheory/Monoidal/End.lean
200
206
theorem obj_ε_app (n : M) (X : C) : (F.obj n).map (F.ε.app X) = (F.map (λ_ n).inv).app X ≫ (F.μIso (𝟙_ M) n).inv.app X := by
refine Eq.trans ?_ (Category.id_comp _) rw [← Category.assoc, ← IsIso.comp_inv_eq, ← IsIso.comp_inv_eq, Category.assoc] convert left_unitality_app F n X · simp · simp
import Mathlib.Data.ENNReal.Inv #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal ENNReal namespace ENNReal section Real variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} theorem toReal_add (ha : a ≠ ∞) (hb : b ≠ ∞) : (a + b).toReal = a.toReal + b.toReal := by lift a to ℝ≥0 using ha lift b to ℝ≥0 using hb rfl #align ennreal.to_real_add ENNReal.toReal_add theorem toReal_sub_of_le {a b : ℝ≥0∞} (h : b ≤ a) (ha : a ≠ ∞) : (a - b).toReal = a.toReal - b.toReal := by lift b to ℝ≥0 using ne_top_of_le_ne_top ha h lift a to ℝ≥0 using ha simp only [← ENNReal.coe_sub, ENNReal.coe_toReal, NNReal.coe_sub (ENNReal.coe_le_coe.mp h)] #align ennreal.to_real_sub_of_le ENNReal.toReal_sub_of_le theorem le_toReal_sub {a b : ℝ≥0∞} (hb : b ≠ ∞) : a.toReal - b.toReal ≤ (a - b).toReal := by lift b to ℝ≥0 using hb induction a · simp · simp only [← coe_sub, NNReal.sub_def, Real.coe_toNNReal', coe_toReal] exact le_max_left _ _ #align ennreal.le_to_real_sub ENNReal.le_toReal_sub theorem toReal_add_le : (a + b).toReal ≤ a.toReal + b.toReal := if ha : a = ∞ then by simp only [ha, top_add, top_toReal, zero_add, toReal_nonneg] else if hb : b = ∞ then by simp only [hb, add_top, top_toReal, add_zero, toReal_nonneg] else le_of_eq (toReal_add ha hb) #align ennreal.to_real_add_le ENNReal.toReal_add_le theorem ofReal_add {p q : ℝ} (hp : 0 ≤ p) (hq : 0 ≤ q) : ENNReal.ofReal (p + q) = ENNReal.ofReal p + ENNReal.ofReal q := by rw [ENNReal.ofReal, ENNReal.ofReal, ENNReal.ofReal, ← coe_add, coe_inj, Real.toNNReal_add hp hq] #align ennreal.of_real_add ENNReal.ofReal_add theorem ofReal_add_le {p q : ℝ} : ENNReal.ofReal (p + q) ≤ ENNReal.ofReal p + ENNReal.ofReal q := coe_le_coe.2 Real.toNNReal_add_le #align ennreal.of_real_add_le ENNReal.ofReal_add_le @[simp] theorem toReal_le_toReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toReal ≤ b.toReal ↔ a ≤ b := by lift a to ℝ≥0 using ha lift b to ℝ≥0 using hb norm_cast #align ennreal.to_real_le_to_real ENNReal.toReal_le_toReal @[gcongr] theorem toReal_mono (hb : b ≠ ∞) (h : a ≤ b) : a.toReal ≤ b.toReal := (toReal_le_toReal (ne_top_of_le_ne_top hb h) hb).2 h #align ennreal.to_real_mono ENNReal.toReal_mono -- Porting note (#10756): new lemma theorem toReal_mono' (h : a ≤ b) (ht : b = ∞ → a = ∞) : a.toReal ≤ b.toReal := by rcases eq_or_ne a ∞ with rfl | ha · exact toReal_nonneg · exact toReal_mono (mt ht ha) h @[simp] theorem toReal_lt_toReal (ha : a ≠ ∞) (hb : b ≠ ∞) : a.toReal < b.toReal ↔ a < b := by lift a to ℝ≥0 using ha lift b to ℝ≥0 using hb norm_cast #align ennreal.to_real_lt_to_real ENNReal.toReal_lt_toReal @[gcongr] theorem toReal_strict_mono (hb : b ≠ ∞) (h : a < b) : a.toReal < b.toReal := (toReal_lt_toReal h.ne_top hb).2 h #align ennreal.to_real_strict_mono ENNReal.toReal_strict_mono @[gcongr] theorem toNNReal_mono (hb : b ≠ ∞) (h : a ≤ b) : a.toNNReal ≤ b.toNNReal := toReal_mono hb h #align ennreal.to_nnreal_mono ENNReal.toNNReal_mono -- Porting note (#10756): new lemma
Mathlib/Data/ENNReal/Real.lean
114
117
theorem toReal_le_add' (hle : a ≤ b + c) (hb : b = ∞ → a = ∞) (hc : c = ∞ → a = ∞) : a.toReal ≤ b.toReal + c.toReal := by
refine le_trans (toReal_mono' hle ?_) toReal_add_le simpa only [add_eq_top, or_imp] using And.intro hb hc
import Mathlib.Order.Atoms import Mathlib.Order.OrderIsoNat import Mathlib.Order.RelIso.Set import Mathlib.Order.SupClosed import Mathlib.Order.SupIndep import Mathlib.Order.Zorn import Mathlib.Data.Finset.Order import Mathlib.Order.Interval.Set.OrderIso import Mathlib.Data.Finite.Set import Mathlib.Tactic.TFAE #align_import order.compactly_generated from "leanprover-community/mathlib"@"c813ed7de0f5115f956239124e9b30f3a621966f" open Set variable {ι : Sort*} {α : Type*} [CompleteLattice α] {f : ι → α} namespace CompleteLattice variable (α) def IsSupClosedCompact : Prop := ∀ (s : Set α) (_ : s.Nonempty), SupClosed s → sSup s ∈ s #align complete_lattice.is_sup_closed_compact CompleteLattice.IsSupClosedCompact def IsSupFiniteCompact : Prop := ∀ s : Set α, ∃ t : Finset α, ↑t ⊆ s ∧ sSup s = t.sup id #align complete_lattice.is_Sup_finite_compact CompleteLattice.IsSupFiniteCompact def IsCompactElement {α : Type*} [CompleteLattice α] (k : α) := ∀ s : Set α, k ≤ sSup s → ∃ t : Finset α, ↑t ⊆ s ∧ k ≤ t.sup id #align complete_lattice.is_compact_element CompleteLattice.IsCompactElement theorem isCompactElement_iff.{u} {α : Type u} [CompleteLattice α] (k : α) : CompleteLattice.IsCompactElement k ↔ ∀ (ι : Type u) (s : ι → α), k ≤ iSup s → ∃ t : Finset ι, k ≤ t.sup s := by classical constructor · intro H ι s hs obtain ⟨t, ht, ht'⟩ := H (Set.range s) hs have : ∀ x : t, ∃ i, s i = x := fun x => ht x.prop choose f hf using this refine ⟨Finset.univ.image f, ht'.trans ?_⟩ rw [Finset.sup_le_iff] intro b hb rw [← show s (f ⟨b, hb⟩) = id b from hf _] exact Finset.le_sup (Finset.mem_image_of_mem f <| Finset.mem_univ (Subtype.mk b hb)) · intro H s hs obtain ⟨t, ht⟩ := H s Subtype.val (by delta iSup rwa [Subtype.range_coe]) refine ⟨t.image Subtype.val, by simp, ht.trans ?_⟩ rw [Finset.sup_le_iff] exact fun x hx => @Finset.le_sup _ _ _ _ _ id _ (Finset.mem_image_of_mem Subtype.val hx) #align complete_lattice.is_compact_element_iff CompleteLattice.isCompactElement_iff theorem isCompactElement_iff_le_of_directed_sSup_le (k : α) : IsCompactElement k ↔ ∀ s : Set α, s.Nonempty → DirectedOn (· ≤ ·) s → k ≤ sSup s → ∃ x : α, x ∈ s ∧ k ≤ x := by classical constructor · intro hk s hne hdir hsup obtain ⟨t, ht⟩ := hk s hsup -- certainly every element of t is below something in s, since ↑t ⊆ s. have t_below_s : ∀ x ∈ t, ∃ y ∈ s, x ≤ y := fun x hxt => ⟨x, ht.left hxt, le_rfl⟩ obtain ⟨x, ⟨hxs, hsupx⟩⟩ := Finset.sup_le_of_le_directed s hne hdir t t_below_s exact ⟨x, ⟨hxs, le_trans ht.right hsupx⟩⟩ · intro hk s hsup -- Consider the set of finite joins of elements of the (plain) set s. let S : Set α := { x | ∃ t : Finset α, ↑t ⊆ s ∧ x = t.sup id } -- S is directed, nonempty, and still has sup above k. have dir_US : DirectedOn (· ≤ ·) S := by rintro x ⟨c, hc⟩ y ⟨d, hd⟩ use x ⊔ y constructor · use c ∪ d constructor · simp only [hc.left, hd.left, Set.union_subset_iff, Finset.coe_union, and_self_iff] · simp only [hc.right, hd.right, Finset.sup_union] simp only [and_self_iff, le_sup_left, le_sup_right] have sup_S : sSup s ≤ sSup S := by apply sSup_le_sSup intro x hx use {x} simpa only [and_true_iff, id, Finset.coe_singleton, eq_self_iff_true, Finset.sup_singleton, Set.singleton_subset_iff] have Sne : S.Nonempty := by suffices ⊥ ∈ S from Set.nonempty_of_mem this use ∅ simp only [Set.empty_subset, Finset.coe_empty, Finset.sup_empty, eq_self_iff_true, and_self_iff] -- Now apply the defn of compact and finish. obtain ⟨j, ⟨hjS, hjk⟩⟩ := hk S Sne dir_US (le_trans hsup sup_S) obtain ⟨t, ⟨htS, htsup⟩⟩ := hjS use t exact ⟨htS, by rwa [← htsup]⟩ #align complete_lattice.is_compact_element_iff_le_of_directed_Sup_le CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le theorem IsCompactElement.exists_finset_of_le_iSup {k : α} (hk : IsCompactElement k) {ι : Type*} (f : ι → α) (h : k ≤ ⨆ i, f i) : ∃ s : Finset ι, k ≤ ⨆ i ∈ s, f i := by classical let g : Finset ι → α := fun s => ⨆ i ∈ s, f i have h1 : DirectedOn (· ≤ ·) (Set.range g) := by rintro - ⟨s, rfl⟩ - ⟨t, rfl⟩ exact ⟨g (s ∪ t), ⟨s ∪ t, rfl⟩, iSup_le_iSup_of_subset Finset.subset_union_left, iSup_le_iSup_of_subset Finset.subset_union_right⟩ have h2 : k ≤ sSup (Set.range g) := h.trans (iSup_le fun i => le_sSup_of_le ⟨{i}, rfl⟩ (le_iSup_of_le i (le_iSup_of_le (Finset.mem_singleton_self i) le_rfl))) obtain ⟨-, ⟨s, rfl⟩, hs⟩ := (isCompactElement_iff_le_of_directed_sSup_le α k).mp hk (Set.range g) (Set.range_nonempty g) h1 h2 exact ⟨s, hs⟩ #align complete_lattice.is_compact_element.exists_finset_of_le_supr CompleteLattice.IsCompactElement.exists_finset_of_le_iSup theorem IsCompactElement.directed_sSup_lt_of_lt {α : Type*} [CompleteLattice α] {k : α} (hk : IsCompactElement k) {s : Set α} (hemp : s.Nonempty) (hdir : DirectedOn (· ≤ ·) s) (hbelow : ∀ x ∈ s, x < k) : sSup s < k := by rw [isCompactElement_iff_le_of_directed_sSup_le] at hk by_contra h have sSup' : sSup s ≤ k := sSup_le s k fun s hs => (hbelow s hs).le replace sSup : sSup s = k := eq_iff_le_not_lt.mpr ⟨sSup', h⟩ obtain ⟨x, hxs, hkx⟩ := hk s hemp hdir sSup.symm.le obtain hxk := hbelow x hxs exact hxk.ne (hxk.le.antisymm hkx) #align complete_lattice.is_compact_element.directed_Sup_lt_of_lt CompleteLattice.IsCompactElement.directed_sSup_lt_of_lt theorem isCompactElement_finsetSup {α β : Type*} [CompleteLattice α] {f : β → α} (s : Finset β) (h : ∀ x ∈ s, IsCompactElement (f x)) : IsCompactElement (s.sup f) := by classical rw [isCompactElement_iff_le_of_directed_sSup_le] intro d hemp hdir hsup rw [← Function.id_comp f] rw [← Finset.sup_image] apply Finset.sup_le_of_le_directed d hemp hdir rintro x hx obtain ⟨p, ⟨hps, rfl⟩⟩ := Finset.mem_image.mp hx specialize h p hps rw [isCompactElement_iff_le_of_directed_sSup_le] at h specialize h d hemp hdir (le_trans (Finset.le_sup hps) hsup) simpa only [exists_prop] #align complete_lattice.finset_sup_compact_of_compact CompleteLattice.isCompactElement_finsetSup theorem WellFounded.isSupFiniteCompact (h : WellFounded ((· > ·) : α → α → Prop)) : IsSupFiniteCompact α := fun s => by let S := { x | ∃ t : Finset α, ↑t ⊆ s ∧ t.sup id = x } obtain ⟨m, ⟨t, ⟨ht₁, rfl⟩⟩, hm⟩ := h.has_min S ⟨⊥, ∅, by simp⟩ refine ⟨t, ht₁, (sSup_le _ _ fun y hy => ?_).antisymm ?_⟩ · classical rw [eq_of_le_of_not_lt (Finset.sup_mono (t.subset_insert y)) (hm _ ⟨insert y t, by simp [Set.insert_subset_iff, hy, ht₁]⟩)] simp · rw [Finset.sup_id_eq_sSup] exact sSup_le_sSup ht₁ #align complete_lattice.well_founded.is_Sup_finite_compact CompleteLattice.WellFounded.isSupFiniteCompact theorem IsSupFiniteCompact.isSupClosedCompact (h : IsSupFiniteCompact α) : IsSupClosedCompact α := by intro s hne hsc; obtain ⟨t, ht₁, ht₂⟩ := h s; clear h rcases t.eq_empty_or_nonempty with h | h · subst h rw [Finset.sup_empty] at ht₂ rw [ht₂] simp [eq_singleton_bot_of_sSup_eq_bot_of_nonempty ht₂ hne] · rw [ht₂] exact hsc.finsetSup_mem h ht₁ #align complete_lattice.is_Sup_finite_compact.is_sup_closed_compact CompleteLattice.IsSupFiniteCompact.isSupClosedCompact theorem IsSupClosedCompact.wellFounded (h : IsSupClosedCompact α) : WellFounded ((· > ·) : α → α → Prop) := by refine RelEmbedding.wellFounded_iff_no_descending_seq.mpr ⟨fun a => ?_⟩ suffices sSup (Set.range a) ∈ Set.range a by obtain ⟨n, hn⟩ := Set.mem_range.mp this have h' : sSup (Set.range a) < a (n + 1) := by change _ > _ simp [← hn, a.map_rel_iff] apply lt_irrefl (a (n + 1)) apply lt_of_le_of_lt _ h' apply le_sSup apply Set.mem_range_self apply h (Set.range a) · use a 37 apply Set.mem_range_self · rintro x ⟨m, hm⟩ y ⟨n, hn⟩ use m ⊔ n rw [← hm, ← hn] apply RelHomClass.map_sup a #align complete_lattice.is_sup_closed_compact.well_founded CompleteLattice.IsSupClosedCompact.wellFounded theorem isSupFiniteCompact_iff_all_elements_compact : IsSupFiniteCompact α ↔ ∀ k : α, IsCompactElement k := by refine ⟨fun h k s hs => ?_, fun h s => ?_⟩ · obtain ⟨t, ⟨hts, htsup⟩⟩ := h s use t, hts rwa [← htsup] · obtain ⟨t, ⟨hts, htsup⟩⟩ := h (sSup s) s (by rfl) have : sSup s = t.sup id := by suffices t.sup id ≤ sSup s by apply le_antisymm <;> assumption simp only [id, Finset.sup_le_iff] intro x hx exact le_sSup _ _ (hts hx) exact ⟨t, hts, this⟩ #align complete_lattice.is_Sup_finite_compact_iff_all_elements_compact CompleteLattice.isSupFiniteCompact_iff_all_elements_compact open List in
Mathlib/Order/CompactlyGenerated/Basic.lean
264
275
theorem wellFounded_characterisations : List.TFAE [WellFounded ((· > ·) : α → α → Prop), IsSupFiniteCompact α, IsSupClosedCompact α, ∀ k : α, IsCompactElement k] := by
tfae_have 1 → 2 · exact WellFounded.isSupFiniteCompact α tfae_have 2 → 3 · exact IsSupFiniteCompact.isSupClosedCompact α tfae_have 3 → 1 · exact IsSupClosedCompact.wellFounded α tfae_have 2 ↔ 4 · exact isSupFiniteCompact_iff_all_elements_compact α tfae_finish
import Mathlib.Order.Interval.Finset.Nat #align_import data.fin.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" assert_not_exists MonoidWithZero open Finset Fin Function namespace Fin variable (n : ℕ) instance instLocallyFiniteOrder : LocallyFiniteOrder (Fin n) := OrderIso.locallyFiniteOrder Fin.orderIsoSubtype instance instLocallyFiniteOrderBot : LocallyFiniteOrderBot (Fin n) := OrderIso.locallyFiniteOrderBot Fin.orderIsoSubtype instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n) | 0 => IsEmpty.toLocallyFiniteOrderTop | _ + 1 => inferInstance variable {n} (a b : Fin n) theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n := rfl #align fin.Icc_eq_finset_subtype Fin.Icc_eq_finset_subtype theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n := rfl #align fin.Ico_eq_finset_subtype Fin.Ico_eq_finset_subtype theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n := rfl #align fin.Ioc_eq_finset_subtype Fin.Ioc_eq_finset_subtype theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n := rfl #align fin.Ioo_eq_finset_subtype Fin.Ioo_eq_finset_subtype theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := rfl #align fin.uIcc_eq_finset_subtype Fin.uIcc_eq_finset_subtype @[simp] theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc ↑a ↑b := by simp [Icc_eq_finset_subtype, Finset.fin, Finset.map_map, Icc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Icc Fin.map_valEmbedding_Icc @[simp] theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico ↑a ↑b := by simp [Ico_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ico Fin.map_valEmbedding_Ico @[simp] theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc ↑a ↑b := by simp [Ioc_eq_finset_subtype, Finset.fin, Finset.map_map, Ioc_filter_lt_of_lt_right] #align fin.map_subtype_embedding_Ioc Fin.map_valEmbedding_Ioc @[simp] theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo ↑a ↑b := by simp [Ioo_eq_finset_subtype, Finset.fin, Finset.map_map] #align fin.map_subtype_embedding_Ioo Fin.map_valEmbedding_Ioo @[simp] theorem map_subtype_embedding_uIcc : (uIcc a b).map valEmbedding = uIcc ↑a ↑b := map_valEmbedding_Icc _ _ #align fin.map_subtype_embedding_uIcc Fin.map_subtype_embedding_uIcc @[simp] theorem card_Icc : (Icc a b).card = b + 1 - a := by rw [← Nat.card_Icc, ← map_valEmbedding_Icc, card_map] #align fin.card_Icc Fin.card_Icc @[simp] theorem card_Ico : (Ico a b).card = b - a := by rw [← Nat.card_Ico, ← map_valEmbedding_Ico, card_map] #align fin.card_Ico Fin.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = b - a := by rw [← Nat.card_Ioc, ← map_valEmbedding_Ioc, card_map] #align fin.card_Ioc Fin.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = b - a - 1 := by rw [← Nat.card_Ioo, ← map_valEmbedding_Ioo, card_map] #align fin.card_Ioo Fin.card_Ioo @[simp]
Mathlib/Order/Interval/Finset/Fin.lean
124
125
theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := by
rw [← Nat.card_uIcc, ← map_subtype_embedding_uIcc, card_map]
import Mathlib.Algebra.CharZero.Lemmas import Mathlib.Order.Interval.Finset.Basic #align_import data.int.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29" open Finset Int namespace Int instance instLocallyFiniteOrder : LocallyFiniteOrder ℤ where finsetIcc a b := (Finset.range (b + 1 - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding a finsetIco a b := (Finset.range (b - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding a finsetIoc a b := (Finset.range (b - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding (a + 1) finsetIoo a b := (Finset.range (b - a - 1).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding (a + 1) finset_mem_Icc a b x := by simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply, Nat.castEmbedding_apply, addLeftEmbedding_apply] constructor · rintro ⟨a, h, rfl⟩ rw [lt_sub_iff_add_lt, Int.lt_add_one_iff, add_comm] at h exact ⟨Int.le.intro a rfl, h⟩ · rintro ⟨ha, hb⟩ use (x - a).toNat rw [← lt_add_one_iff] at hb rw [toNat_sub_of_le ha] exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩ finset_mem_Ico a b x := by simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply, Nat.castEmbedding_apply, addLeftEmbedding_apply] constructor · rintro ⟨a, h, rfl⟩ exact ⟨Int.le.intro a rfl, lt_sub_iff_add_lt'.mp h⟩ · rintro ⟨ha, hb⟩ use (x - a).toNat rw [toNat_sub_of_le ha] exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩ finset_mem_Ioc a b x := by simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply, Nat.castEmbedding_apply, addLeftEmbedding_apply] constructor · rintro ⟨a, h, rfl⟩ rw [← add_one_le_iff, le_sub_iff_add_le', add_comm _ (1 : ℤ), ← add_assoc] at h exact ⟨Int.le.intro a rfl, h⟩ · rintro ⟨ha, hb⟩ use (x - (a + 1)).toNat rw [toNat_sub_of_le ha, ← add_one_le_iff, sub_add, add_sub_cancel_right] exact ⟨sub_le_sub_right hb _, add_sub_cancel _ _⟩ finset_mem_Ioo a b x := by simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply, Nat.castEmbedding_apply, addLeftEmbedding_apply] constructor · rintro ⟨a, h, rfl⟩ rw [sub_sub, lt_sub_iff_add_lt'] at h exact ⟨Int.le.intro a rfl, h⟩ · rintro ⟨ha, hb⟩ use (x - (a + 1)).toNat rw [toNat_sub_of_le ha, sub_sub] exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩ variable (a b : ℤ) theorem Icc_eq_finset_map : Icc a b = (Finset.range (b + 1 - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding a) := rfl #align int.Icc_eq_finset_map Int.Icc_eq_finset_map theorem Ico_eq_finset_map : Ico a b = (Finset.range (b - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding a) := rfl #align int.Ico_eq_finset_map Int.Ico_eq_finset_map theorem Ioc_eq_finset_map : Ioc a b = (Finset.range (b - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding (a + 1)) := rfl #align int.Ioc_eq_finset_map Int.Ioc_eq_finset_map theorem Ioo_eq_finset_map : Ioo a b = (Finset.range (b - a - 1).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding (a + 1)) := rfl #align int.Ioo_eq_finset_map Int.Ioo_eq_finset_map theorem uIcc_eq_finset_map : uIcc a b = (range (max a b + 1 - min a b).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding <| min a b) := rfl #align int.uIcc_eq_finset_map Int.uIcc_eq_finset_map @[simp] theorem card_Icc : (Icc a b).card = (b + 1 - a).toNat := (card_map _).trans <| card_range _ #align int.card_Icc Int.card_Icc @[simp] theorem card_Ico : (Ico a b).card = (b - a).toNat := (card_map _).trans <| card_range _ #align int.card_Ico Int.card_Ico @[simp] theorem card_Ioc : (Ioc a b).card = (b - a).toNat := (card_map _).trans <| card_range _ #align int.card_Ioc Int.card_Ioc @[simp] theorem card_Ioo : (Ioo a b).card = (b - a - 1).toNat := (card_map _).trans <| card_range _ #align int.card_Ioo Int.card_Ioo @[simp] theorem card_uIcc : (uIcc a b).card = (b - a).natAbs + 1 := (card_map _).trans <| Int.ofNat.inj <| by -- Porting note (#11215): TODO: Restore `int.coe_nat_inj` and remove the `change` change ((↑) : ℕ → ℤ) _ = ((↑) : ℕ → ℤ) _ rw [card_range, sup_eq_max, inf_eq_min, Int.toNat_of_nonneg (sub_nonneg_of_le <| le_add_one min_le_max), Int.ofNat_add, Int.natCast_natAbs, add_comm, add_sub_assoc, max_sub_min_eq_abs, add_comm, Int.ofNat_one] #align int.card_uIcc Int.card_uIcc theorem card_Icc_of_le (h : a ≤ b + 1) : ((Icc a b).card : ℤ) = b + 1 - a := by rw [card_Icc, toNat_sub_of_le h] #align int.card_Icc_of_le Int.card_Icc_of_le theorem card_Ico_of_le (h : a ≤ b) : ((Ico a b).card : ℤ) = b - a := by rw [card_Ico, toNat_sub_of_le h] #align int.card_Ico_of_le Int.card_Ico_of_le theorem card_Ioc_of_le (h : a ≤ b) : ((Ioc a b).card : ℤ) = b - a := by rw [card_Ioc, toNat_sub_of_le h] #align int.card_Ioc_of_le Int.card_Ioc_of_le theorem card_Ioo_of_lt (h : a < b) : ((Ioo a b).card : ℤ) = b - a - 1 := by rw [card_Ioo, sub_sub, toNat_sub_of_le h] #align int.card_Ioo_of_lt Int.card_Ioo_of_lt -- Porting note (#11119): removed `simp` attribute because `simpNF` says it can prove it theorem card_fintype_Icc : Fintype.card (Set.Icc a b) = (b + 1 - a).toNat := by rw [← card_Icc, Fintype.card_ofFinset] #align int.card_fintype_Icc Int.card_fintype_Icc -- Porting note (#11119): removed `simp` attribute because `simpNF` says it can prove it theorem card_fintype_Ico : Fintype.card (Set.Ico a b) = (b - a).toNat := by rw [← card_Ico, Fintype.card_ofFinset] #align int.card_fintype_Ico Int.card_fintype_Ico -- Porting note (#11119): removed `simp` attribute because `simpNF` says it can prove it theorem card_fintype_Ioc : Fintype.card (Set.Ioc a b) = (b - a).toNat := by rw [← card_Ioc, Fintype.card_ofFinset] #align int.card_fintype_Ioc Int.card_fintype_Ioc -- Porting note (#11119): removed `simp` attribute because `simpNF` says it can prove it theorem card_fintype_Ioo : Fintype.card (Set.Ioo a b) = (b - a - 1).toNat := by rw [← card_Ioo, Fintype.card_ofFinset] #align int.card_fintype_Ioo Int.card_fintype_Ioo theorem card_fintype_uIcc : Fintype.card (Set.uIcc a b) = (b - a).natAbs + 1 := by rw [← card_uIcc, Fintype.card_ofFinset] #align int.card_fintype_uIcc Int.card_fintype_uIcc theorem card_fintype_Icc_of_le (h : a ≤ b + 1) : (Fintype.card (Set.Icc a b) : ℤ) = b + 1 - a := by rw [card_fintype_Icc, toNat_sub_of_le h] #align int.card_fintype_Icc_of_le Int.card_fintype_Icc_of_le theorem card_fintype_Ico_of_le (h : a ≤ b) : (Fintype.card (Set.Ico a b) : ℤ) = b - a := by rw [card_fintype_Ico, toNat_sub_of_le h] #align int.card_fintype_Ico_of_le Int.card_fintype_Ico_of_le theorem card_fintype_Ioc_of_le (h : a ≤ b) : (Fintype.card (Set.Ioc a b) : ℤ) = b - a := by rw [card_fintype_Ioc, toNat_sub_of_le h] #align int.card_fintype_Ioc_of_le Int.card_fintype_Ioc_of_le
Mathlib/Data/Int/Interval.lean
185
186
theorem card_fintype_Ioo_of_lt (h : a < b) : (Fintype.card (Set.Ioo a b) : ℤ) = b - a - 1 := by
rw [card_fintype_Ioo, sub_sub, toNat_sub_of_le h]
import Mathlib.Algebra.GroupWithZero.NonZeroDivisors import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.RingTheory.Coprime.Basic import Mathlib.Tactic.AdaptationNote #align_import ring_theory.polynomial.scale_roots from "leanprover-community/mathlib"@"40ac1b258344e0c2b4568dc37bfad937ec35a727" variable {R S A K : Type*} namespace Polynomial open Polynomial section Semiring variable [Semiring R] [Semiring S] noncomputable def scaleRoots (p : R[X]) (s : R) : R[X] := ∑ i ∈ p.support, monomial i (p.coeff i * s ^ (p.natDegree - i)) #align polynomial.scale_roots Polynomial.scaleRoots @[simp] theorem coeff_scaleRoots (p : R[X]) (s : R) (i : ℕ) : (scaleRoots p s).coeff i = coeff p i * s ^ (p.natDegree - i) := by simp (config := { contextual := true }) [scaleRoots, coeff_monomial] #align polynomial.coeff_scale_roots Polynomial.coeff_scaleRoots theorem coeff_scaleRoots_natDegree (p : R[X]) (s : R) : (scaleRoots p s).coeff p.natDegree = p.leadingCoeff := by rw [leadingCoeff, coeff_scaleRoots, tsub_self, pow_zero, mul_one] #align polynomial.coeff_scale_roots_nat_degree Polynomial.coeff_scaleRoots_natDegree @[simp] theorem zero_scaleRoots (s : R) : scaleRoots 0 s = 0 := by ext simp #align polynomial.zero_scale_roots Polynomial.zero_scaleRoots
Mathlib/RingTheory/Polynomial/ScaleRoots.lean
53
59
theorem scaleRoots_ne_zero {p : R[X]} (hp : p ≠ 0) (s : R) : scaleRoots p s ≠ 0 := by
intro h have : p.coeff p.natDegree ≠ 0 := mt leadingCoeff_eq_zero.mp hp have : (scaleRoots p s).coeff p.natDegree = 0 := congr_fun (congr_arg (coeff : R[X] → ℕ → R) h) p.natDegree rw [coeff_scaleRoots_natDegree] at this contradiction
import Mathlib.Algebra.Quaternion import Mathlib.Analysis.InnerProductSpace.Basic import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Topology.Algebra.Algebra #align_import analysis.quaternion from "leanprover-community/mathlib"@"07992a1d1f7a4176c6d3f160209608be4e198566" @[inherit_doc] scoped[Quaternion] notation "ℍ" => Quaternion ℝ open scoped RealInnerProductSpace namespace Quaternion instance : Inner ℝ ℍ := ⟨fun a b => (a * star b).re⟩ theorem inner_self (a : ℍ) : ⟪a, a⟫ = normSq a := rfl #align quaternion.inner_self Quaternion.inner_self theorem inner_def (a b : ℍ) : ⟪a, b⟫ = (a * star b).re := rfl #align quaternion.inner_def Quaternion.inner_def noncomputable instance : NormedAddCommGroup ℍ := @InnerProductSpace.Core.toNormedAddCommGroup ℝ ℍ _ _ _ { toInner := inferInstance conj_symm := fun x y => by simp [inner_def, mul_comm] nonneg_re := fun x => normSq_nonneg definite := fun x => normSq_eq_zero.1 add_left := fun x y z => by simp only [inner_def, add_mul, add_re] smul_left := fun x y r => by simp [inner_def] } noncomputable instance : InnerProductSpace ℝ ℍ := InnerProductSpace.ofCore _ theorem normSq_eq_norm_mul_self (a : ℍ) : normSq a = ‖a‖ * ‖a‖ := by rw [← inner_self, real_inner_self_eq_norm_mul_norm] #align quaternion.norm_sq_eq_norm_sq Quaternion.normSq_eq_norm_mul_self instance : NormOneClass ℍ := ⟨by rw [norm_eq_sqrt_real_inner, inner_self, normSq.map_one, Real.sqrt_one]⟩ @[simp, norm_cast] theorem norm_coe (a : ℝ) : ‖(a : ℍ)‖ = ‖a‖ := by rw [norm_eq_sqrt_real_inner, inner_self, normSq_coe, Real.sqrt_sq_eq_abs, Real.norm_eq_abs] #align quaternion.norm_coe Quaternion.norm_coe @[simp, norm_cast] theorem nnnorm_coe (a : ℝ) : ‖(a : ℍ)‖₊ = ‖a‖₊ := Subtype.ext <| norm_coe a #align quaternion.nnnorm_coe Quaternion.nnnorm_coe @[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this theorem norm_star (a : ℍ) : ‖star a‖ = ‖a‖ := by simp_rw [norm_eq_sqrt_real_inner, inner_self, normSq_star] #align quaternion.norm_star Quaternion.norm_star @[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this theorem nnnorm_star (a : ℍ) : ‖star a‖₊ = ‖a‖₊ := Subtype.ext <| norm_star a #align quaternion.nnnorm_star Quaternion.nnnorm_star noncomputable instance : NormedDivisionRing ℍ where dist_eq _ _ := rfl norm_mul' a b := by simp only [norm_eq_sqrt_real_inner, inner_self, normSq.map_mul] exact Real.sqrt_mul normSq_nonneg _ -- Porting note: added `noncomputable` noncomputable instance : NormedAlgebra ℝ ℍ where norm_smul_le := norm_smul_le toAlgebra := Quaternion.algebra instance : CstarRing ℍ where norm_star_mul_self {x} := (norm_mul _ _).trans <| congr_arg (· * ‖x‖) (norm_star x) @[coe] def coeComplex (z : ℂ) : ℍ := ⟨z.re, z.im, 0, 0⟩ instance : Coe ℂ ℍ := ⟨coeComplex⟩ @[simp, norm_cast] theorem coeComplex_re (z : ℂ) : (z : ℍ).re = z.re := rfl #align quaternion.coe_complex_re Quaternion.coeComplex_re @[simp, norm_cast] theorem coeComplex_imI (z : ℂ) : (z : ℍ).imI = z.im := rfl #align quaternion.coe_complex_im_i Quaternion.coeComplex_imI @[simp, norm_cast] theorem coeComplex_imJ (z : ℂ) : (z : ℍ).imJ = 0 := rfl #align quaternion.coe_complex_im_j Quaternion.coeComplex_imJ @[simp, norm_cast] theorem coeComplex_imK (z : ℂ) : (z : ℍ).imK = 0 := rfl #align quaternion.coe_complex_im_k Quaternion.coeComplex_imK @[simp, norm_cast] theorem coeComplex_add (z w : ℂ) : ↑(z + w) = (z + w : ℍ) := by ext <;> simp #align quaternion.coe_complex_add Quaternion.coeComplex_add @[simp, norm_cast] theorem coeComplex_mul (z w : ℂ) : ↑(z * w) = (z * w : ℍ) := by ext <;> simp #align quaternion.coe_complex_mul Quaternion.coeComplex_mul @[simp, norm_cast] theorem coeComplex_zero : ((0 : ℂ) : ℍ) = 0 := rfl #align quaternion.coe_complex_zero Quaternion.coeComplex_zero @[simp, norm_cast] theorem coeComplex_one : ((1 : ℂ) : ℍ) = 1 := rfl #align quaternion.coe_complex_one Quaternion.coeComplex_one @[simp, norm_cast, nolint simpNF] -- Porting note (#10959): simp cannot prove this
Mathlib/Analysis/Quaternion.lean
150
150
theorem coe_real_complex_mul (r : ℝ) (z : ℂ) : (r • z : ℍ) = ↑r * ↑z := by
ext <;> simp
import Mathlib.Algebra.Polynomial.BigOperators import Mathlib.Algebra.Polynomial.Derivative import Mathlib.Data.Nat.Choose.Cast import Mathlib.Data.Nat.Choose.Vandermonde import Mathlib.Tactic.FieldSimp #align_import data.polynomial.hasse_deriv from "leanprover-community/mathlib"@"a148d797a1094ab554ad4183a4ad6f130358ef64" noncomputable section namespace Polynomial open Nat Polynomial open Function variable {R : Type*} [Semiring R] (k : ℕ) (f : R[X]) def hasseDeriv (k : ℕ) : R[X] →ₗ[R] R[X] := lsum fun i => monomial (i - k) ∘ₗ DistribMulAction.toLinearMap R R (i.choose k) #align polynomial.hasse_deriv Polynomial.hasseDeriv theorem hasseDeriv_apply : hasseDeriv k f = f.sum fun i r => monomial (i - k) (↑(i.choose k) * r) := by dsimp [hasseDeriv] congr; ext; congr apply nsmul_eq_mul #align polynomial.hasse_deriv_apply Polynomial.hasseDeriv_apply theorem hasseDeriv_coeff (n : ℕ) : (hasseDeriv k f).coeff n = (n + k).choose k * f.coeff (n + k) := by rw [hasseDeriv_apply, coeff_sum, sum_def, Finset.sum_eq_single (n + k), coeff_monomial] · simp only [if_true, add_tsub_cancel_right, eq_self_iff_true] · intro i _hi hink rw [coeff_monomial] by_cases hik : i < k · simp only [Nat.choose_eq_zero_of_lt hik, ite_self, Nat.cast_zero, zero_mul] · push_neg at hik rw [if_neg] contrapose! hink exact (tsub_eq_iff_eq_add_of_le hik).mp hink · intro h simp only [not_mem_support_iff.mp h, monomial_zero_right, mul_zero, coeff_zero] #align polynomial.hasse_deriv_coeff Polynomial.hasseDeriv_coeff theorem hasseDeriv_zero' : hasseDeriv 0 f = f := by simp only [hasseDeriv_apply, tsub_zero, Nat.choose_zero_right, Nat.cast_one, one_mul, sum_monomial_eq] #align polynomial.hasse_deriv_zero' Polynomial.hasseDeriv_zero' @[simp] theorem hasseDeriv_zero : @hasseDeriv R _ 0 = LinearMap.id := LinearMap.ext <| hasseDeriv_zero' #align polynomial.hasse_deriv_zero Polynomial.hasseDeriv_zero theorem hasseDeriv_eq_zero_of_lt_natDegree (p : R[X]) (n : ℕ) (h : p.natDegree < n) : hasseDeriv n p = 0 := by rw [hasseDeriv_apply, sum_def] refine Finset.sum_eq_zero fun x hx => ?_ simp [Nat.choose_eq_zero_of_lt ((le_natDegree_of_mem_supp _ hx).trans_lt h)] #align polynomial.hasse_deriv_eq_zero_of_lt_nat_degree Polynomial.hasseDeriv_eq_zero_of_lt_natDegree
Mathlib/Algebra/Polynomial/HasseDeriv.lean
100
102
theorem hasseDeriv_one' : hasseDeriv 1 f = derivative f := by
simp only [hasseDeriv_apply, derivative_apply, ← C_mul_X_pow_eq_monomial, Nat.choose_one_right, (Nat.cast_commute _ _).eq]
import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Integral.Bochner import Mathlib.MeasureTheory.Function.LocallyIntegrable import Mathlib.Topology.MetricSpace.ThickenedIndicator import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Analysis.NormedSpace.HahnBanach.SeparatingDual #align_import measure_theory.integral.setIntegral from "leanprover-community/mathlib"@"24e0c85412ff6adbeca08022c25ba4876eedf37a" assert_not_exists InnerProductSpace noncomputable section open Set Filter TopologicalSpace MeasureTheory Function RCLike open scoped Classical Topology ENNReal NNReal variable {X Y E F : Type*} [MeasurableSpace X] namespace MeasureTheory section NormedAddCommGroup variable [NormedAddCommGroup E] [NormedSpace ℝ E] {f g : X → E} {s t : Set X} {μ ν : Measure X} {l l' : Filter X} theorem setIntegral_congr_ae₀ (hs : NullMeasurableSet s μ) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ := integral_congr_ae ((ae_restrict_iff'₀ hs).2 h) #align measure_theory.set_integral_congr_ae₀ MeasureTheory.setIntegral_congr_ae₀ @[deprecated (since := "2024-04-17")] alias set_integral_congr_ae₀ := setIntegral_congr_ae₀ theorem setIntegral_congr_ae (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ := integral_congr_ae ((ae_restrict_iff' hs).2 h) #align measure_theory.set_integral_congr_ae MeasureTheory.setIntegral_congr_ae @[deprecated (since := "2024-04-17")] alias set_integral_congr_ae := setIntegral_congr_ae theorem setIntegral_congr₀ (hs : NullMeasurableSet s μ) (h : EqOn f g s) : ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ := setIntegral_congr_ae₀ hs <| eventually_of_forall h #align measure_theory.set_integral_congr₀ MeasureTheory.setIntegral_congr₀ @[deprecated (since := "2024-04-17")] alias set_integral_congr₀ := setIntegral_congr₀ theorem setIntegral_congr (hs : MeasurableSet s) (h : EqOn f g s) : ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ := setIntegral_congr_ae hs <| eventually_of_forall h #align measure_theory.set_integral_congr MeasureTheory.setIntegral_congr @[deprecated (since := "2024-04-17")] alias set_integral_congr := setIntegral_congr theorem setIntegral_congr_set_ae (hst : s =ᵐ[μ] t) : ∫ x in s, f x ∂μ = ∫ x in t, f x ∂μ := by rw [Measure.restrict_congr_set hst] #align measure_theory.set_integral_congr_set_ae MeasureTheory.setIntegral_congr_set_ae @[deprecated (since := "2024-04-17")] alias set_integral_congr_set_ae := setIntegral_congr_set_ae theorem integral_union_ae (hst : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) (hfs : IntegrableOn f s μ) (hft : IntegrableOn f t μ) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ := by simp only [IntegrableOn, Measure.restrict_union₀ hst ht, integral_add_measure hfs hft] #align measure_theory.integral_union_ae MeasureTheory.integral_union_ae theorem integral_union (hst : Disjoint s t) (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) (hft : IntegrableOn f t μ) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ := integral_union_ae hst.aedisjoint ht.nullMeasurableSet hfs hft #align measure_theory.integral_union MeasureTheory.integral_union theorem integral_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) (hts : t ⊆ s) : ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ - ∫ x in t, f x ∂μ := by rw [eq_sub_iff_add_eq, ← integral_union, diff_union_of_subset hts] exacts [disjoint_sdiff_self_left, ht, hfs.mono_set diff_subset, hfs.mono_set hts] #align measure_theory.integral_diff MeasureTheory.integral_diff theorem integral_inter_add_diff₀ (ht : NullMeasurableSet t μ) (hfs : IntegrableOn f s μ) : ∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ := by rw [← Measure.restrict_inter_add_diff₀ s ht, integral_add_measure] · exact Integrable.mono_measure hfs (Measure.restrict_mono inter_subset_left le_rfl) · exact Integrable.mono_measure hfs (Measure.restrict_mono diff_subset le_rfl) #align measure_theory.integral_inter_add_diff₀ MeasureTheory.integral_inter_add_diff₀ theorem integral_inter_add_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) : ∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ := integral_inter_add_diff₀ ht.nullMeasurableSet hfs #align measure_theory.integral_inter_add_diff MeasureTheory.integral_inter_add_diff theorem integral_finset_biUnion {ι : Type*} (t : Finset ι) {s : ι → Set X} (hs : ∀ i ∈ t, MeasurableSet (s i)) (h's : Set.Pairwise (↑t) (Disjoint on s)) (hf : ∀ i ∈ t, IntegrableOn f (s i) μ) : ∫ x in ⋃ i ∈ t, s i, f x ∂μ = ∑ i ∈ t, ∫ x in s i, f x ∂μ := by induction' t using Finset.induction_on with a t hat IH hs h's · simp · simp only [Finset.coe_insert, Finset.forall_mem_insert, Set.pairwise_insert, Finset.set_biUnion_insert] at hs hf h's ⊢ rw [integral_union _ _ hf.1 (integrableOn_finset_iUnion.2 hf.2)] · rw [Finset.sum_insert hat, IH hs.2 h's.1 hf.2] · simp only [disjoint_iUnion_right] exact fun i hi => (h's.2 i hi (ne_of_mem_of_not_mem hi hat).symm).1 · exact Finset.measurableSet_biUnion _ hs.2 #align measure_theory.integral_finset_bUnion MeasureTheory.integral_finset_biUnion
Mathlib/MeasureTheory/Integral/SetIntegral.lean
154
159
theorem integral_fintype_iUnion {ι : Type*} [Fintype ι] {s : ι → Set X} (hs : ∀ i, MeasurableSet (s i)) (h's : Pairwise (Disjoint on s)) (hf : ∀ i, IntegrableOn f (s i) μ) : ∫ x in ⋃ i, s i, f x ∂μ = ∑ i, ∫ x in s i, f x ∂μ := by
convert integral_finset_biUnion Finset.univ (fun i _ => hs i) _ fun i _ => hf i · simp · simp [pairwise_univ, h's]
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
Mathlib/MeasureTheory/Integral/Lebesgue.lean
1,289
1,300
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
import Mathlib.Analysis.Convex.Combination import Mathlib.LinearAlgebra.AffineSpace.Independent import Mathlib.Tactic.FieldSimp #align_import analysis.convex.caratheodory from "leanprover-community/mathlib"@"e6fab1dc073396d45da082c644642c4f8bff2264" open Set Finset universe u variable {𝕜 : Type*} {E : Type u} [LinearOrderedField 𝕜] [AddCommGroup E] [Module 𝕜 E] namespace Caratheodory
Mathlib/Analysis/Convex/Caratheodory.lean
52
98
theorem mem_convexHull_erase [DecidableEq E] {t : Finset E} (h : ¬AffineIndependent 𝕜 ((↑) : t → E)) {x : E} (m : x ∈ convexHull 𝕜 (↑t : Set E)) : ∃ y : (↑t : Set E), x ∈ convexHull 𝕜 (↑(t.erase y) : Set E) := by
simp only [Finset.convexHull_eq, mem_setOf_eq] at m ⊢ obtain ⟨f, fpos, fsum, rfl⟩ := m obtain ⟨g, gcombo, gsum, gpos⟩ := exists_nontrivial_relation_sum_zero_of_not_affine_ind h replace gpos := exists_pos_of_sum_zero_of_exists_nonzero g gsum gpos clear h let s := @Finset.filter _ (fun z => 0 < g z) (fun _ => LinearOrder.decidableLT _ _) t obtain ⟨i₀, mem, w⟩ : ∃ i₀ ∈ s, ∀ i ∈ s, f i₀ / g i₀ ≤ f i / g i := by apply s.exists_min_image fun z => f z / g z obtain ⟨x, hx, hgx⟩ : ∃ x ∈ t, 0 < g x := gpos exact ⟨x, mem_filter.mpr ⟨hx, hgx⟩⟩ have hg : 0 < g i₀ := by rw [mem_filter] at mem exact mem.2 have hi₀ : i₀ ∈ t := filter_subset _ _ mem let k : E → 𝕜 := fun z => f z - f i₀ / g i₀ * g z have hk : k i₀ = 0 := by field_simp [k, ne_of_gt hg] have ksum : ∑ e ∈ t.erase i₀, k e = 1 := by calc ∑ e ∈ t.erase i₀, k e = ∑ e ∈ t, k e := by conv_rhs => rw [← insert_erase hi₀, sum_insert (not_mem_erase i₀ t), hk, zero_add] _ = ∑ e ∈ t, (f e - f i₀ / g i₀ * g e) := rfl _ = 1 := by rw [sum_sub_distrib, fsum, ← mul_sum, gsum, mul_zero, sub_zero] refine ⟨⟨i₀, hi₀⟩, k, ?_, by convert ksum, ?_⟩ · simp only [k, and_imp, sub_nonneg, mem_erase, Ne, Subtype.coe_mk] intro e _ het by_cases hes : e ∈ s · have hge : 0 < g e := by rw [mem_filter] at hes exact hes.2 rw [← le_div_iff hge] exact w _ hes · calc _ ≤ 0 := by apply mul_nonpos_of_nonneg_of_nonpos · apply div_nonneg (fpos i₀ (mem_of_subset (filter_subset _ t) mem)) (le_of_lt hg) · simpa only [s, mem_filter, het, true_and_iff, not_lt] using hes _ ≤ f e := fpos e het · rw [Subtype.coe_mk, centerMass_eq_of_sum_1 _ id ksum] calc ∑ e ∈ t.erase i₀, k e • e = ∑ e ∈ t, k e • e := sum_erase _ (by rw [hk, zero_smul]) _ = ∑ e ∈ t, (f e - f i₀ / g i₀ * g e) • e := rfl _ = t.centerMass f id := by simp only [sub_smul, mul_smul, sum_sub_distrib, ← smul_sum, gcombo, smul_zero, sub_zero, centerMass, fsum, inv_one, one_smul, id]
import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Integral.Bochner import Mathlib.MeasureTheory.Function.LocallyIntegrable import Mathlib.Topology.MetricSpace.ThickenedIndicator import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Analysis.NormedSpace.HahnBanach.SeparatingDual #align_import measure_theory.integral.setIntegral from "leanprover-community/mathlib"@"24e0c85412ff6adbeca08022c25ba4876eedf37a" assert_not_exists InnerProductSpace noncomputable section open Set Filter TopologicalSpace MeasureTheory Function RCLike open scoped Classical Topology ENNReal NNReal variable {X Y E F : Type*} [MeasurableSpace X] namespace MeasureTheory section NormedAddCommGroup variable [NormedAddCommGroup E] [NormedSpace ℝ E] {f g : X → E} {s t : Set X} {μ ν : Measure X} {l l' : Filter X} theorem setIntegral_congr_ae₀ (hs : NullMeasurableSet s μ) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ := integral_congr_ae ((ae_restrict_iff'₀ hs).2 h) #align measure_theory.set_integral_congr_ae₀ MeasureTheory.setIntegral_congr_ae₀ @[deprecated (since := "2024-04-17")] alias set_integral_congr_ae₀ := setIntegral_congr_ae₀ theorem setIntegral_congr_ae (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ := integral_congr_ae ((ae_restrict_iff' hs).2 h) #align measure_theory.set_integral_congr_ae MeasureTheory.setIntegral_congr_ae @[deprecated (since := "2024-04-17")] alias set_integral_congr_ae := setIntegral_congr_ae theorem setIntegral_congr₀ (hs : NullMeasurableSet s μ) (h : EqOn f g s) : ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ := setIntegral_congr_ae₀ hs <| eventually_of_forall h #align measure_theory.set_integral_congr₀ MeasureTheory.setIntegral_congr₀ @[deprecated (since := "2024-04-17")] alias set_integral_congr₀ := setIntegral_congr₀ theorem setIntegral_congr (hs : MeasurableSet s) (h : EqOn f g s) : ∫ x in s, f x ∂μ = ∫ x in s, g x ∂μ := setIntegral_congr_ae hs <| eventually_of_forall h #align measure_theory.set_integral_congr MeasureTheory.setIntegral_congr @[deprecated (since := "2024-04-17")] alias set_integral_congr := setIntegral_congr theorem setIntegral_congr_set_ae (hst : s =ᵐ[μ] t) : ∫ x in s, f x ∂μ = ∫ x in t, f x ∂μ := by rw [Measure.restrict_congr_set hst] #align measure_theory.set_integral_congr_set_ae MeasureTheory.setIntegral_congr_set_ae @[deprecated (since := "2024-04-17")] alias set_integral_congr_set_ae := setIntegral_congr_set_ae theorem integral_union_ae (hst : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) (hfs : IntegrableOn f s μ) (hft : IntegrableOn f t μ) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ := by simp only [IntegrableOn, Measure.restrict_union₀ hst ht, integral_add_measure hfs hft] #align measure_theory.integral_union_ae MeasureTheory.integral_union_ae theorem integral_union (hst : Disjoint s t) (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) (hft : IntegrableOn f t μ) : ∫ x in s ∪ t, f x ∂μ = ∫ x in s, f x ∂μ + ∫ x in t, f x ∂μ := integral_union_ae hst.aedisjoint ht.nullMeasurableSet hfs hft #align measure_theory.integral_union MeasureTheory.integral_union theorem integral_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) (hts : t ⊆ s) : ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ - ∫ x in t, f x ∂μ := by rw [eq_sub_iff_add_eq, ← integral_union, diff_union_of_subset hts] exacts [disjoint_sdiff_self_left, ht, hfs.mono_set diff_subset, hfs.mono_set hts] #align measure_theory.integral_diff MeasureTheory.integral_diff theorem integral_inter_add_diff₀ (ht : NullMeasurableSet t μ) (hfs : IntegrableOn f s μ) : ∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ := by rw [← Measure.restrict_inter_add_diff₀ s ht, integral_add_measure] · exact Integrable.mono_measure hfs (Measure.restrict_mono inter_subset_left le_rfl) · exact Integrable.mono_measure hfs (Measure.restrict_mono diff_subset le_rfl) #align measure_theory.integral_inter_add_diff₀ MeasureTheory.integral_inter_add_diff₀ theorem integral_inter_add_diff (ht : MeasurableSet t) (hfs : IntegrableOn f s μ) : ∫ x in s ∩ t, f x ∂μ + ∫ x in s \ t, f x ∂μ = ∫ x in s, f x ∂μ := integral_inter_add_diff₀ ht.nullMeasurableSet hfs #align measure_theory.integral_inter_add_diff MeasureTheory.integral_inter_add_diff theorem integral_finset_biUnion {ι : Type*} (t : Finset ι) {s : ι → Set X} (hs : ∀ i ∈ t, MeasurableSet (s i)) (h's : Set.Pairwise (↑t) (Disjoint on s)) (hf : ∀ i ∈ t, IntegrableOn f (s i) μ) : ∫ x in ⋃ i ∈ t, s i, f x ∂μ = ∑ i ∈ t, ∫ x in s i, f x ∂μ := by induction' t using Finset.induction_on with a t hat IH hs h's · simp · simp only [Finset.coe_insert, Finset.forall_mem_insert, Set.pairwise_insert, Finset.set_biUnion_insert] at hs hf h's ⊢ rw [integral_union _ _ hf.1 (integrableOn_finset_iUnion.2 hf.2)] · rw [Finset.sum_insert hat, IH hs.2 h's.1 hf.2] · simp only [disjoint_iUnion_right] exact fun i hi => (h's.2 i hi (ne_of_mem_of_not_mem hi hat).symm).1 · exact Finset.measurableSet_biUnion _ hs.2 #align measure_theory.integral_finset_bUnion MeasureTheory.integral_finset_biUnion theorem integral_fintype_iUnion {ι : Type*} [Fintype ι] {s : ι → Set X} (hs : ∀ i, MeasurableSet (s i)) (h's : Pairwise (Disjoint on s)) (hf : ∀ i, IntegrableOn f (s i) μ) : ∫ x in ⋃ i, s i, f x ∂μ = ∑ i, ∫ x in s i, f x ∂μ := by convert integral_finset_biUnion Finset.univ (fun i _ => hs i) _ fun i _ => hf i · simp · simp [pairwise_univ, h's] #align measure_theory.integral_fintype_Union MeasureTheory.integral_fintype_iUnion
Mathlib/MeasureTheory/Integral/SetIntegral.lean
162
163
theorem integral_empty : ∫ x in ∅, f x ∂μ = 0 := by
rw [Measure.restrict_empty, integral_zero_measure]
import Mathlib.Init.Control.Combinators import Mathlib.Data.Option.Defs import Mathlib.Logic.IsEmpty import Mathlib.Logic.Relator import Mathlib.Util.CompileInductive import Aesop #align_import data.option.basic from "leanprover-community/mathlib"@"f340f229b1f461aa1c8ee11e0a172d0a3b301a4a" universe u namespace Option variable {α β γ δ : Type*} theorem coe_def : (fun a ↦ ↑a : α → Option α) = some := rfl #align option.coe_def Option.coe_def theorem mem_map {f : α → β} {y : β} {o : Option α} : y ∈ o.map f ↔ ∃ x ∈ o, f x = y := by simp #align option.mem_map Option.mem_map -- The simpNF linter says that the LHS can be simplified via `Option.mem_def`. -- However this is a higher priority lemma. -- https://github.com/leanprover/std4/issues/207 @[simp 1100, nolint simpNF] theorem mem_map_of_injective {f : α → β} (H : Function.Injective f) {a : α} {o : Option α} : f a ∈ o.map f ↔ a ∈ o := by aesop theorem forall_mem_map {f : α → β} {o : Option α} {p : β → Prop} : (∀ y ∈ o.map f, p y) ↔ ∀ x ∈ o, p (f x) := by simp #align option.forall_mem_map Option.forall_mem_map theorem exists_mem_map {f : α → β} {o : Option α} {p : β → Prop} : (∃ y ∈ o.map f, p y) ↔ ∃ x ∈ o, p (f x) := by simp #align option.exists_mem_map Option.exists_mem_map theorem coe_get {o : Option α} (h : o.isSome) : ((Option.get _ h : α) : Option α) = o := Option.some_get h #align option.coe_get Option.coe_get theorem eq_of_mem_of_mem {a : α} {o1 o2 : Option α} (h1 : a ∈ o1) (h2 : a ∈ o2) : o1 = o2 := h1.trans h2.symm #align option.eq_of_mem_of_mem Option.eq_of_mem_of_mem theorem Mem.leftUnique : Relator.LeftUnique ((· ∈ ·) : α → Option α → Prop) := fun _ _ _=> mem_unique #align option.mem.left_unique Option.Mem.leftUnique theorem some_injective (α : Type*) : Function.Injective (@some α) := fun _ _ ↦ some_inj.mp #align option.some_injective Option.some_injective theorem map_injective {f : α → β} (Hf : Function.Injective f) : Function.Injective (Option.map f) | none, none, _ => rfl | some a₁, some a₂, H => by rw [Hf (Option.some.inj H)] #align option.map_injective Option.map_injective @[simp] theorem map_comp_some (f : α → β) : Option.map f ∘ some = some ∘ f := rfl #align option.map_comp_some Option.map_comp_some @[simp] theorem none_bind' (f : α → Option β) : none.bind f = none := rfl #align option.none_bind' Option.none_bind' @[simp] theorem some_bind' (a : α) (f : α → Option β) : (some a).bind f = f a := rfl #align option.some_bind' Option.some_bind' theorem bind_eq_some' {x : Option α} {f : α → Option β} {b : β} : x.bind f = some b ↔ ∃ a, x = some a ∧ f a = some b := by cases x <;> simp #align option.bind_eq_some' Option.bind_eq_some' #align option.bind_eq_none' Option.bind_eq_none' theorem bind_congr {f g : α → Option β} {x : Option α} (h : ∀ a ∈ x, f a = g a) : x.bind f = x.bind g := by cases x <;> simp only [some_bind, none_bind, mem_def, h] @[congr] theorem bind_congr' {f g : α → Option β} {x y : Option α} (hx : x = y) (hf : ∀ a ∈ y, f a = g a) : x.bind f = y.bind g := hx.symm ▸ bind_congr hf theorem joinM_eq_join : joinM = @join α := funext fun _ ↦ rfl #align option.join_eq_join Option.joinM_eq_join theorem bind_eq_bind' {α β : Type u} {f : α → Option β} {x : Option α} : x >>= f = x.bind f := rfl #align option.bind_eq_bind Option.bind_eq_bind' theorem map_coe {α β} {a : α} {f : α → β} : f <$> (a : Option α) = ↑(f a) := rfl #align option.map_coe Option.map_coe @[simp] theorem map_coe' {a : α} {f : α → β} : Option.map f (a : Option α) = ↑(f a) := rfl #align option.map_coe' Option.map_coe' theorem map_injective' : Function.Injective (@Option.map α β) := fun f g h ↦ funext fun x ↦ some_injective _ <| by simp only [← map_some', h] #align option.map_injective' Option.map_injective' @[simp] theorem map_inj {f g : α → β} : Option.map f = Option.map g ↔ f = g := map_injective'.eq_iff #align option.map_inj Option.map_inj attribute [simp] map_id @[simp] theorem map_eq_id {f : α → α} : Option.map f = id ↔ f = id := map_injective'.eq_iff' map_id #align option.map_eq_id Option.map_eq_id theorem map_comm {f₁ : α → β} {f₂ : α → γ} {g₁ : β → δ} {g₂ : γ → δ} (h : g₁ ∘ f₁ = g₂ ∘ f₂) (a : α) : (Option.map f₁ a).map g₁ = (Option.map f₂ a).map g₂ := by rw [map_map, h, ← map_map] #align option.map_comm Option.map_comm section pmap variable {p : α → Prop} (f : ∀ a : α, p a → β) (x : Option α) -- Porting note: Can't simp tag this anymore because `pbind` simplifies -- @[simp] theorem pbind_eq_bind (f : α → Option β) (x : Option α) : (x.pbind fun a _ ↦ f a) = x.bind f := by cases x <;> simp only [pbind, none_bind', some_bind'] #align option.pbind_eq_bind Option.pbind_eq_bind theorem map_bind {α β γ} (f : β → γ) (x : Option α) (g : α → Option β) : Option.map f (x >>= g) = x >>= fun a ↦ Option.map f (g a) := by simp only [← map_eq_map, ← bind_pure_comp, LawfulMonad.bind_assoc] #align option.map_bind Option.map_bind theorem map_bind' (f : β → γ) (x : Option α) (g : α → Option β) : Option.map f (x.bind g) = x.bind fun a ↦ Option.map f (g a) := by cases x <;> simp #align option.map_bind' Option.map_bind' theorem map_pbind (f : β → γ) (x : Option α) (g : ∀ a, a ∈ x → Option β) : Option.map f (x.pbind g) = x.pbind fun a H ↦ Option.map f (g a H) := by cases x <;> simp only [pbind, map_none'] #align option.map_pbind Option.map_pbind
Mathlib/Data/Option/Basic.lean
180
181
theorem pbind_map (f : α → β) (x : Option α) (g : ∀ b : β, b ∈ x.map f → Option γ) : pbind (Option.map f x) g = x.pbind fun a h ↦ g (f a) (mem_map_of_mem _ h) := by
cases x <;> rfl
import Mathlib.Order.CompleteLattice import Mathlib.Data.Finset.Lattice import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Category.Preorder import Mathlib.CategoryTheory.Limits.Shapes.Products import Mathlib.CategoryTheory.Limits.Shapes.FiniteLimits #align_import category_theory.limits.lattice from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" universe w u open CategoryTheory open CategoryTheory.Limits namespace CategoryTheory.Limits.CompleteLattice section Semilattice variable {α : Type u} variable {J : Type w} [SmallCategory J] [FinCategory J] def finiteLimitCone [SemilatticeInf α] [OrderTop α] (F : J ⥤ α) : LimitCone F where cone := { pt := Finset.univ.inf F.obj π := { app := fun j => homOfLE (Finset.inf_le (Fintype.complete _)) } } isLimit := { lift := fun s => homOfLE (Finset.le_inf fun j _ => (s.π.app j).down.down) } #align category_theory.limits.complete_lattice.finite_limit_cone CategoryTheory.Limits.CompleteLattice.finiteLimitCone def finiteColimitCocone [SemilatticeSup α] [OrderBot α] (F : J ⥤ α) : ColimitCocone F where cocone := { pt := Finset.univ.sup F.obj ι := { app := fun i => homOfLE (Finset.le_sup (Fintype.complete _)) } } isColimit := { desc := fun s => homOfLE (Finset.sup_le fun j _ => (s.ι.app j).down.down) } #align category_theory.limits.complete_lattice.finite_colimit_cocone CategoryTheory.Limits.CompleteLattice.finiteColimitCocone -- see Note [lower instance priority] instance (priority := 100) hasFiniteLimits_of_semilatticeInf_orderTop [SemilatticeInf α] [OrderTop α] : HasFiniteLimits α := ⟨by intro J 𝒥₁ 𝒥₂ exact { has_limit := fun F => HasLimit.mk (finiteLimitCone F) }⟩ #align category_theory.limits.complete_lattice.has_finite_limits_of_semilattice_inf_order_top CategoryTheory.Limits.CompleteLattice.hasFiniteLimits_of_semilatticeInf_orderTop -- see Note [lower instance priority] instance (priority := 100) hasFiniteColimits_of_semilatticeSup_orderBot [SemilatticeSup α] [OrderBot α] : HasFiniteColimits α := ⟨by intro J 𝒥₁ 𝒥₂ exact { has_colimit := fun F => HasColimit.mk (finiteColimitCocone F) }⟩ #align category_theory.limits.complete_lattice.has_finite_colimits_of_semilattice_sup_order_bot CategoryTheory.Limits.CompleteLattice.hasFiniteColimits_of_semilatticeSup_orderBot theorem finite_limit_eq_finset_univ_inf [SemilatticeInf α] [OrderTop α] (F : J ⥤ α) : limit F = Finset.univ.inf F.obj := (IsLimit.conePointUniqueUpToIso (limit.isLimit F) (finiteLimitCone F).isLimit).to_eq #align category_theory.limits.complete_lattice.finite_limit_eq_finset_univ_inf CategoryTheory.Limits.CompleteLattice.finite_limit_eq_finset_univ_inf theorem finite_colimit_eq_finset_univ_sup [SemilatticeSup α] [OrderBot α] (F : J ⥤ α) : colimit F = Finset.univ.sup F.obj := (IsColimit.coconePointUniqueUpToIso (colimit.isColimit F) (finiteColimitCocone F).isColimit).to_eq #align category_theory.limits.complete_lattice.finite_colimit_eq_finset_univ_sup CategoryTheory.Limits.CompleteLattice.finite_colimit_eq_finset_univ_sup theorem finite_product_eq_finset_inf [SemilatticeInf α] [OrderTop α] {ι : Type u} [Fintype ι] (f : ι → α) : ∏ᶜ f = Fintype.elems.inf f := by trans · exact (IsLimit.conePointUniqueUpToIso (limit.isLimit _) (finiteLimitCone (Discrete.functor f)).isLimit).to_eq change Finset.univ.inf (f ∘ discreteEquiv.toEmbedding) = Fintype.elems.inf f simp only [← Finset.inf_map, Finset.univ_map_equiv_to_embedding] rfl #align category_theory.limits.complete_lattice.finite_product_eq_finset_inf CategoryTheory.Limits.CompleteLattice.finite_product_eq_finset_inf theorem finite_coproduct_eq_finset_sup [SemilatticeSup α] [OrderBot α] {ι : Type u} [Fintype ι] (f : ι → α) : ∐ f = Fintype.elems.sup f := by trans · exact (IsColimit.coconePointUniqueUpToIso (colimit.isColimit _) (finiteColimitCocone (Discrete.functor f)).isColimit).to_eq change Finset.univ.sup (f ∘ discreteEquiv.toEmbedding) = Fintype.elems.sup f simp only [← Finset.sup_map, Finset.univ_map_equiv_to_embedding] rfl #align category_theory.limits.complete_lattice.finite_coproduct_eq_finset_sup CategoryTheory.Limits.CompleteLattice.finite_coproduct_eq_finset_sup set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 -- see Note [lower instance priority] instance (priority := 100) [SemilatticeInf α] [OrderTop α] : HasBinaryProducts α := by have : ∀ x y : α, HasLimit (pair x y) := by letI := hasFiniteLimits_of_hasFiniteLimits_of_size.{u} α infer_instance apply hasBinaryProducts_of_hasLimit_pair @[simp] theorem prod_eq_inf [SemilatticeInf α] [OrderTop α] (x y : α) : Limits.prod x y = x ⊓ y := calc Limits.prod x y = limit (pair x y) := rfl _ = Finset.univ.inf (pair x y).obj := by rw [finite_limit_eq_finset_univ_inf (pair.{u} x y)] _ = x ⊓ (y ⊓ ⊤) := rfl -- Note: finset.inf is realized as a fold, hence the definitional equality _ = x ⊓ y := by rw [inf_top_eq] #align category_theory.limits.complete_lattice.prod_eq_inf CategoryTheory.Limits.CompleteLattice.prod_eq_inf set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 -- see Note [lower instance priority] instance (priority := 100) [SemilatticeSup α] [OrderBot α] : HasBinaryCoproducts α := by have : ∀ x y : α, HasColimit (pair x y) := by letI := hasFiniteColimits_of_hasFiniteColimits_of_size.{u} α infer_instance apply hasBinaryCoproducts_of_hasColimit_pair @[simp] theorem coprod_eq_sup [SemilatticeSup α] [OrderBot α] (x y : α) : Limits.coprod x y = x ⊔ y := calc Limits.coprod x y = colimit (pair x y) := rfl _ = Finset.univ.sup (pair x y).obj := by rw [finite_colimit_eq_finset_univ_sup (pair x y)] _ = x ⊔ (y ⊔ ⊥) := rfl -- Note: Finset.sup is realized as a fold, hence the definitional equality _ = x ⊔ y := by rw [sup_bot_eq] #align category_theory.limits.complete_lattice.coprod_eq_sup CategoryTheory.Limits.CompleteLattice.coprod_eq_sup @[simp] theorem pullback_eq_inf [SemilatticeInf α] [OrderTop α] {x y z : α} (f : x ⟶ z) (g : y ⟶ z) : pullback f g = x ⊓ y := calc pullback f g = limit (cospan f g) := rfl _ = Finset.univ.inf (cospan f g).obj := by rw [finite_limit_eq_finset_univ_inf] _ = z ⊓ (x ⊓ (y ⊓ ⊤)) := rfl _ = z ⊓ (x ⊓ y) := by rw [inf_top_eq] _ = x ⊓ y := inf_eq_right.mpr (inf_le_of_left_le f.le) #align category_theory.limits.complete_lattice.pullback_eq_inf CategoryTheory.Limits.CompleteLattice.pullback_eq_inf @[simp]
Mathlib/CategoryTheory/Limits/Lattice.lean
170
177
theorem pushout_eq_sup [SemilatticeSup α] [OrderBot α] (x y z : α) (f : z ⟶ x) (g : z ⟶ y) : pushout f g = x ⊔ y := calc pushout f g = colimit (span f g) := rfl _ = Finset.univ.sup (span f g).obj := by
rw [finite_colimit_eq_finset_univ_sup] _ = z ⊔ (x ⊔ (y ⊔ ⊥)) := rfl _ = z ⊔ (x ⊔ y) := by rw [sup_bot_eq] _ = x ⊔ y := sup_eq_right.mpr (le_sup_of_le_left f.le)
import Mathlib.CategoryTheory.Comma.Basic import Mathlib.CategoryTheory.PUnit import Mathlib.CategoryTheory.Limits.Shapes.Terminal import Mathlib.CategoryTheory.EssentiallySmall import Mathlib.Logic.Small.Set #align_import category_theory.structured_arrow from "leanprover-community/mathlib"@"8a318021995877a44630c898d0b2bc376fceef3b" namespace CategoryTheory -- morphism levels before object levels. See note [CategoryTheory universes]. universe v₁ v₂ v₃ v₄ u₁ u₂ u₃ u₄ variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] -- We explicitly come from `PUnit.{1}` here to obtain the correct universe for morphisms of -- structured arrows. -- Porting note(#5171): linter not ported yet -- @[nolint has_nonempty_instance] def StructuredArrow (S : D) (T : C ⥤ D) := Comma (Functor.fromPUnit.{0} S) T #align category_theory.structured_arrow CategoryTheory.StructuredArrow -- Porting note: not found by inferInstance instance (S : D) (T : C ⥤ D) : Category (StructuredArrow S T) := commaCategory namespace StructuredArrow @[simps!] def proj (S : D) (T : C ⥤ D) : StructuredArrow S T ⥤ C := Comma.snd _ _ #align category_theory.structured_arrow.proj CategoryTheory.StructuredArrow.proj variable {S S' S'' : D} {Y Y' Y'' : C} {T T' : C ⥤ D} -- Porting note: this lemma was added because `Comma.hom_ext` -- was not triggered automatically -- See https://github.com/leanprover-community/mathlib4/issues/5229 @[ext] lemma hom_ext {X Y : StructuredArrow S T} (f g : X ⟶ Y) (h : f.right = g.right) : f = g := CommaMorphism.ext _ _ (Subsingleton.elim _ _) h @[simp] theorem hom_eq_iff {X Y : StructuredArrow S T} (f g : X ⟶ Y) : f = g ↔ f.right = g.right := ⟨fun h ↦ by rw [h], hom_ext _ _⟩ def mk (f : S ⟶ T.obj Y) : StructuredArrow S T := ⟨⟨⟨⟩⟩, Y, f⟩ #align category_theory.structured_arrow.mk CategoryTheory.StructuredArrow.mk @[simp] theorem mk_left (f : S ⟶ T.obj Y) : (mk f).left = ⟨⟨⟩⟩ := rfl #align category_theory.structured_arrow.mk_left CategoryTheory.StructuredArrow.mk_left @[simp] theorem mk_right (f : S ⟶ T.obj Y) : (mk f).right = Y := rfl #align category_theory.structured_arrow.mk_right CategoryTheory.StructuredArrow.mk_right @[simp] theorem mk_hom_eq_self (f : S ⟶ T.obj Y) : (mk f).hom = f := rfl #align category_theory.structured_arrow.mk_hom_eq_self CategoryTheory.StructuredArrow.mk_hom_eq_self @[reassoc (attr := simp)] theorem w {A B : StructuredArrow S T} (f : A ⟶ B) : A.hom ≫ T.map f.right = B.hom := by have := f.w; aesop_cat #align category_theory.structured_arrow.w CategoryTheory.StructuredArrow.w @[simp] theorem comp_right {X Y Z : StructuredArrow S T} (f : X ⟶ Y) (g : Y ⟶ Z) : (f ≫ g).right = f.right ≫ g.right := rfl @[simp] theorem id_right (X : StructuredArrow S T) : (𝟙 X : X ⟶ X).right = 𝟙 X.right := rfl @[simp] theorem eqToHom_right {X Y : StructuredArrow S T} (h : X = Y) : (eqToHom h).right = eqToHom (by rw [h]) := by subst h simp only [eqToHom_refl, id_right] @[simp] theorem left_eq_id {X Y : StructuredArrow S T} (f : X ⟶ Y) : f.left = 𝟙 _ := rfl @[simps] def homMk {f f' : StructuredArrow S T} (g : f.right ⟶ f'.right) (w : f.hom ≫ T.map g = f'.hom := by aesop_cat) : f ⟶ f' where left := 𝟙 _ right := g w := by dsimp simpa using w.symm #align category_theory.structured_arrow.hom_mk CategoryTheory.StructuredArrow.homMk attribute [-simp, nolint simpNF] homMk_left @[simps] def homMk' (f : StructuredArrow S T) (g : f.right ⟶ Y') : f ⟶ mk (f.hom ≫ T.map g) where left := 𝟙 _ right := g #align category_theory.structured_arrow.hom_mk' CategoryTheory.StructuredArrow.homMk' lemma homMk'_id (f : StructuredArrow S T) : homMk' f (𝟙 f.right) = eqToHom (by aesop_cat) := by ext simp [eqToHom_right] lemma homMk'_mk_id (f : S ⟶ T.obj Y) : homMk' (mk f) (𝟙 Y) = eqToHom (by aesop_cat) := homMk'_id _ lemma homMk'_comp (f : StructuredArrow S T) (g : f.right ⟶ Y') (g' : Y' ⟶ Y'') : homMk' f (g ≫ g') = homMk' f g ≫ homMk' (mk (f.hom ≫ T.map g)) g' ≫ eqToHom (by simp) := by ext simp [eqToHom_right] lemma homMk'_mk_comp (f : S ⟶ T.obj Y) (g : Y ⟶ Y') (g' : Y' ⟶ Y'') : homMk' (mk f) (g ≫ g') = homMk' (mk f) g ≫ homMk' (mk (f ≫ T.map g)) g' ≫ eqToHom (by simp) := homMk'_comp _ _ _ @[simps] def mkPostcomp (f : S ⟶ T.obj Y) (g : Y ⟶ Y') : mk f ⟶ mk (f ≫ T.map g) where left := 𝟙 _ right := g lemma mkPostcomp_id (f : S ⟶ T.obj Y) : mkPostcomp f (𝟙 Y) = eqToHom (by aesop_cat) := by aesop_cat lemma mkPostcomp_comp (f : S ⟶ T.obj Y) (g : Y ⟶ Y') (g' : Y' ⟶ Y'') : mkPostcomp f (g ≫ g') = mkPostcomp f g ≫ mkPostcomp (f ≫ T.map g) g' ≫ eqToHom (by simp) := by aesop_cat @[simps!] def isoMk {f f' : StructuredArrow S T} (g : f.right ≅ f'.right) (w : f.hom ≫ T.map g.hom = f'.hom := by aesop_cat) : f ≅ f' := Comma.isoMk (eqToIso (by ext)) g (by simpa using w.symm) #align category_theory.structured_arrow.iso_mk CategoryTheory.StructuredArrow.isoMk attribute [-simp, nolint simpNF] isoMk_hom_left_down_down isoMk_inv_left_down_down theorem ext {A B : StructuredArrow S T} (f g : A ⟶ B) : f.right = g.right → f = g := CommaMorphism.ext _ _ (Subsingleton.elim _ _) #align category_theory.structured_arrow.ext CategoryTheory.StructuredArrow.ext theorem ext_iff {A B : StructuredArrow S T} (f g : A ⟶ B) : f = g ↔ f.right = g.right := ⟨fun h => h ▸ rfl, ext f g⟩ #align category_theory.structured_arrow.ext_iff CategoryTheory.StructuredArrow.ext_iff instance proj_faithful : (proj S T).Faithful where map_injective {_ _} := ext #align category_theory.structured_arrow.proj_faithful CategoryTheory.StructuredArrow.proj_faithful theorem mono_of_mono_right {A B : StructuredArrow S T} (f : A ⟶ B) [h : Mono f.right] : Mono f := (proj S T).mono_of_mono_map h #align category_theory.structured_arrow.mono_of_mono_right CategoryTheory.StructuredArrow.mono_of_mono_right theorem epi_of_epi_right {A B : StructuredArrow S T} (f : A ⟶ B) [h : Epi f.right] : Epi f := (proj S T).epi_of_epi_map h #align category_theory.structured_arrow.epi_of_epi_right CategoryTheory.StructuredArrow.epi_of_epi_right instance mono_homMk {A B : StructuredArrow S T} (f : A.right ⟶ B.right) (w) [h : Mono f] : Mono (homMk f w) := (proj S T).mono_of_mono_map h #align category_theory.structured_arrow.mono_hom_mk CategoryTheory.StructuredArrow.mono_homMk instance epi_homMk {A B : StructuredArrow S T} (f : A.right ⟶ B.right) (w) [h : Epi f] : Epi (homMk f w) := (proj S T).epi_of_epi_map h #align category_theory.structured_arrow.epi_hom_mk CategoryTheory.StructuredArrow.epi_homMk theorem eq_mk (f : StructuredArrow S T) : f = mk f.hom := rfl #align category_theory.structured_arrow.eq_mk CategoryTheory.StructuredArrow.eq_mk @[simps!] def eta (f : StructuredArrow S T) : f ≅ mk f.hom := isoMk (Iso.refl _) #align category_theory.structured_arrow.eta CategoryTheory.StructuredArrow.eta attribute [-simp, nolint simpNF] eta_hom_left_down_down eta_inv_left_down_down @[simps!] def map (f : S ⟶ S') : StructuredArrow S' T ⥤ StructuredArrow S T := Comma.mapLeft _ ((Functor.const _).map f) #align category_theory.structured_arrow.map CategoryTheory.StructuredArrow.map @[simp] theorem map_mk {f : S' ⟶ T.obj Y} (g : S ⟶ S') : (map g).obj (mk f) = mk (g ≫ f) := rfl #align category_theory.structured_arrow.map_mk CategoryTheory.StructuredArrow.map_mk @[simp] theorem map_id {f : StructuredArrow S T} : (map (𝟙 S)).obj f = f := by rw [eq_mk f] simp #align category_theory.structured_arrow.map_id CategoryTheory.StructuredArrow.map_id @[simp] theorem map_comp {f : S ⟶ S'} {f' : S' ⟶ S''} {h : StructuredArrow S'' T} : (map (f ≫ f')).obj h = (map f).obj ((map f').obj h) := by rw [eq_mk h] simp #align category_theory.structured_arrow.map_comp CategoryTheory.StructuredArrow.map_comp @[simp] def mapIso (i : S ≅ S') : StructuredArrow S T ≌ StructuredArrow S' T := Comma.mapLeftIso _ ((Functor.const _).mapIso i) @[simp] def mapNatIso (i : T ≅ T') : StructuredArrow S T ≌ StructuredArrow S T' := Comma.mapRightIso _ i instance proj_reflectsIsomorphisms : (proj S T).ReflectsIsomorphisms where reflects {Y Z} f t := ⟨⟨StructuredArrow.homMk (inv ((proj S T).map f)) (by rw [Functor.map_inv, IsIso.comp_inv_eq]; simp), by constructor <;> apply CommaMorphism.ext <;> dsimp at t ⊢ <;> simp⟩⟩ #align category_theory.structured_arrow.proj_reflects_iso CategoryTheory.StructuredArrow.proj_reflectsIsomorphisms open CategoryTheory.Limits noncomputable def mkIdInitial [T.Full] [T.Faithful] : IsInitial (mk (𝟙 (T.obj Y))) where desc c := homMk (T.preimage c.pt.hom) uniq c m _ := by apply CommaMorphism.ext · aesop_cat · apply T.map_injective simpa only [homMk_right, T.map_preimage, ← w m] using (Category.id_comp _).symm #align category_theory.structured_arrow.mk_id_initial CategoryTheory.StructuredArrow.mkIdInitial variable {A : Type u₃} [Category.{v₃} A] {B : Type u₄} [Category.{v₄} B] @[simps!] def pre (S : D) (F : B ⥤ C) (G : C ⥤ D) : StructuredArrow S (F ⋙ G) ⥤ StructuredArrow S G := Comma.preRight _ F G #align category_theory.structured_arrow.pre CategoryTheory.StructuredArrow.pre instance (S : D) (F : B ⥤ C) (G : C ⥤ D) [F.Faithful] : (pre S F G).Faithful := show (Comma.preRight _ _ _).Faithful from inferInstance instance (S : D) (F : B ⥤ C) (G : C ⥤ D) [F.Full] : (pre S F G).Full := show (Comma.preRight _ _ _).Full from inferInstance instance (S : D) (F : B ⥤ C) (G : C ⥤ D) [F.EssSurj] : (pre S F G).EssSurj := show (Comma.preRight _ _ _).EssSurj from inferInstance instance isEquivalence_pre (S : D) (F : B ⥤ C) (G : C ⥤ D) [F.IsEquivalence] : (pre S F G).IsEquivalence := Comma.isEquivalence_preRight _ _ _ @[simps] def post (S : C) (F : B ⥤ C) (G : C ⥤ D) : StructuredArrow S F ⥤ StructuredArrow (G.obj S) (F ⋙ G) where obj X := StructuredArrow.mk (G.map X.hom) map f := StructuredArrow.homMk f.right (by simp [Functor.comp_map, ← G.map_comp, ← f.w]) #align category_theory.structured_arrow.post CategoryTheory.StructuredArrow.post instance (S : C) (F : B ⥤ C) (G : C ⥤ D) : (post S F G).Faithful where map_injective {_ _} _ _ h := by simpa [ext_iff] using h instance (S : C) (F : B ⥤ C) (G : C ⥤ D) [G.Faithful] : (post S F G).Full where map_surjective f := ⟨homMk f.right (G.map_injective (by simpa using f.w.symm)), by aesop_cat⟩ instance (S : C) (F : B ⥤ C) (G : C ⥤ D) [G.Full] : (post S F G).EssSurj where mem_essImage h := ⟨mk (G.preimage h.hom), ⟨isoMk (Iso.refl _) (by simp)⟩⟩ instance isEquivalence_post (S : C) (F : B ⥤ C) (G : C ⥤ D) [G.Full] [G.Faithful] : (post S F G).IsEquivalence where section variable {L : D} {R : C ⥤ D} {L' : B} {R' : A ⥤ B} {F : C ⥤ A} {G : D ⥤ B} (α : L' ⟶ G.obj L) (β : R ⋙ G ⟶ F ⋙ R') @[simps!] def map₂ : StructuredArrow L R ⥤ StructuredArrow L' R' := Comma.map (F₁ := 𝟭 (Discrete PUnit)) (Discrete.natTrans (fun _ => α)) β instance faithful_map₂ [F.Faithful] : (map₂ α β).Faithful := by apply Comma.faithful_map instance full_map₂ [G.Faithful] [F.Full] [IsIso α] [IsIso β] : (map₂ α β).Full := by apply Comma.full_map instance essSurj_map₂ [F.EssSurj] [G.Full] [IsIso α] [IsIso β] : (map₂ α β).EssSurj := by apply Comma.essSurj_map noncomputable instance isEquivalenceMap₂ [F.IsEquivalence] [G.Faithful] [G.Full] [IsIso α] [IsIso β] : (map₂ α β).IsEquivalence := by apply Comma.isEquivalenceMap end instance small_proj_preimage_of_locallySmall {𝒢 : Set C} [Small.{v₁} 𝒢] [LocallySmall.{v₁} D] : Small.{v₁} ((proj S T).obj ⁻¹' 𝒢) := by suffices (proj S T).obj ⁻¹' 𝒢 = Set.range fun f : ΣG : 𝒢, S ⟶ T.obj G => mk f.2 by rw [this] infer_instance exact Set.ext fun X => ⟨fun h => ⟨⟨⟨_, h⟩, X.hom⟩, (eq_mk _).symm⟩, by aesop_cat⟩ #align category_theory.structured_arrow.small_proj_preimage_of_locally_small CategoryTheory.StructuredArrow.small_proj_preimage_of_locallySmall abbrev IsUniversal (f : StructuredArrow S T) := IsInitial f namespace IsUniversal variable {f g : StructuredArrow S T} theorem uniq (h : IsUniversal f) (η : f ⟶ g) : η = h.to g := h.hom_ext η (h.to g) def desc (h : IsUniversal f) (g : StructuredArrow S T) : f.right ⟶ g.right := (h.to g).right @[reassoc (attr := simp)] theorem fac (h : IsUniversal f) (g : StructuredArrow S T) : f.hom ≫ T.map (h.desc g) = g.hom := Category.id_comp g.hom ▸ (h.to g).w.symm theorem hom_desc (h : IsUniversal f) {c : C} (η : f.right ⟶ c) : η = h.desc (mk <| f.hom ≫ T.map η) := let g := mk <| f.hom ≫ T.map η congrArg CommaMorphism.right (h.hom_ext (homMk η rfl : f ⟶ g) (h.to g))
Mathlib/CategoryTheory/Comma/StructuredArrow.lean
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394
theorem hom_ext (h : IsUniversal f) {c : C} {η η' : f.right ⟶ c} (w : f.hom ≫ T.map η = f.hom ≫ T.map η') : η = η' := by
rw [h.hom_desc η, h.hom_desc η', w]
import Mathlib.Order.Interval.Set.UnorderedInterval import Mathlib.Algebra.Order.Interval.Set.Monoid import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Group.MinMax #align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Interval Pointwise variable {α : Type*} namespace Set section OrderedAddCommGroup variable [OrderedAddCommGroup α] (a b c : α) @[simp] theorem preimage_const_add_Ici : (fun x => a + x) ⁻¹' Ici b = Ici (b - a) := ext fun _x => sub_le_iff_le_add'.symm #align set.preimage_const_add_Ici Set.preimage_const_add_Ici @[simp] theorem preimage_const_add_Ioi : (fun x => a + x) ⁻¹' Ioi b = Ioi (b - a) := ext fun _x => sub_lt_iff_lt_add'.symm #align set.preimage_const_add_Ioi Set.preimage_const_add_Ioi @[simp] theorem preimage_const_add_Iic : (fun x => a + x) ⁻¹' Iic b = Iic (b - a) := ext fun _x => le_sub_iff_add_le'.symm #align set.preimage_const_add_Iic Set.preimage_const_add_Iic @[simp] theorem preimage_const_add_Iio : (fun x => a + x) ⁻¹' Iio b = Iio (b - a) := ext fun _x => lt_sub_iff_add_lt'.symm #align set.preimage_const_add_Iio Set.preimage_const_add_Iio @[simp] theorem preimage_const_add_Icc : (fun x => a + x) ⁻¹' Icc b c = Icc (b - a) (c - a) := by simp [← Ici_inter_Iic] #align set.preimage_const_add_Icc Set.preimage_const_add_Icc @[simp] theorem preimage_const_add_Ico : (fun x => a + x) ⁻¹' Ico b c = Ico (b - a) (c - a) := by simp [← Ici_inter_Iio] #align set.preimage_const_add_Ico Set.preimage_const_add_Ico @[simp] theorem preimage_const_add_Ioc : (fun x => a + x) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by simp [← Ioi_inter_Iic] #align set.preimage_const_add_Ioc Set.preimage_const_add_Ioc @[simp] theorem preimage_const_add_Ioo : (fun x => a + x) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by simp [← Ioi_inter_Iio] #align set.preimage_const_add_Ioo Set.preimage_const_add_Ioo @[simp] theorem preimage_add_const_Ici : (fun x => x + a) ⁻¹' Ici b = Ici (b - a) := ext fun _x => sub_le_iff_le_add.symm #align set.preimage_add_const_Ici Set.preimage_add_const_Ici @[simp] theorem preimage_add_const_Ioi : (fun x => x + a) ⁻¹' Ioi b = Ioi (b - a) := ext fun _x => sub_lt_iff_lt_add.symm #align set.preimage_add_const_Ioi Set.preimage_add_const_Ioi @[simp] theorem preimage_add_const_Iic : (fun x => x + a) ⁻¹' Iic b = Iic (b - a) := ext fun _x => le_sub_iff_add_le.symm #align set.preimage_add_const_Iic Set.preimage_add_const_Iic @[simp] theorem preimage_add_const_Iio : (fun x => x + a) ⁻¹' Iio b = Iio (b - a) := ext fun _x => lt_sub_iff_add_lt.symm #align set.preimage_add_const_Iio Set.preimage_add_const_Iio @[simp] theorem preimage_add_const_Icc : (fun x => x + a) ⁻¹' Icc b c = Icc (b - a) (c - a) := by simp [← Ici_inter_Iic] #align set.preimage_add_const_Icc Set.preimage_add_const_Icc @[simp] theorem preimage_add_const_Ico : (fun x => x + a) ⁻¹' Ico b c = Ico (b - a) (c - a) := by simp [← Ici_inter_Iio] #align set.preimage_add_const_Ico Set.preimage_add_const_Ico @[simp] theorem preimage_add_const_Ioc : (fun x => x + a) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by simp [← Ioi_inter_Iic] #align set.preimage_add_const_Ioc Set.preimage_add_const_Ioc @[simp] theorem preimage_add_const_Ioo : (fun x => x + a) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by simp [← Ioi_inter_Iio] #align set.preimage_add_const_Ioo Set.preimage_add_const_Ioo @[simp] theorem preimage_neg_Ici : -Ici a = Iic (-a) := ext fun _x => le_neg #align set.preimage_neg_Ici Set.preimage_neg_Ici @[simp] theorem preimage_neg_Iic : -Iic a = Ici (-a) := ext fun _x => neg_le #align set.preimage_neg_Iic Set.preimage_neg_Iic @[simp] theorem preimage_neg_Ioi : -Ioi a = Iio (-a) := ext fun _x => lt_neg #align set.preimage_neg_Ioi Set.preimage_neg_Ioi @[simp] theorem preimage_neg_Iio : -Iio a = Ioi (-a) := ext fun _x => neg_lt #align set.preimage_neg_Iio Set.preimage_neg_Iio @[simp] theorem preimage_neg_Icc : -Icc a b = Icc (-b) (-a) := by simp [← Ici_inter_Iic, inter_comm] #align set.preimage_neg_Icc Set.preimage_neg_Icc @[simp] theorem preimage_neg_Ico : -Ico a b = Ioc (-b) (-a) := by simp [← Ici_inter_Iio, ← Ioi_inter_Iic, inter_comm] #align set.preimage_neg_Ico Set.preimage_neg_Ico @[simp] theorem preimage_neg_Ioc : -Ioc a b = Ico (-b) (-a) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm] #align set.preimage_neg_Ioc Set.preimage_neg_Ioc @[simp] theorem preimage_neg_Ioo : -Ioo a b = Ioo (-b) (-a) := by simp [← Ioi_inter_Iio, inter_comm] #align set.preimage_neg_Ioo Set.preimage_neg_Ioo @[simp] theorem preimage_sub_const_Ici : (fun x => x - a) ⁻¹' Ici b = Ici (b + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ici Set.preimage_sub_const_Ici @[simp] theorem preimage_sub_const_Ioi : (fun x => x - a) ⁻¹' Ioi b = Ioi (b + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ioi Set.preimage_sub_const_Ioi @[simp] theorem preimage_sub_const_Iic : (fun x => x - a) ⁻¹' Iic b = Iic (b + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Iic Set.preimage_sub_const_Iic @[simp] theorem preimage_sub_const_Iio : (fun x => x - a) ⁻¹' Iio b = Iio (b + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Iio Set.preimage_sub_const_Iio @[simp] theorem preimage_sub_const_Icc : (fun x => x - a) ⁻¹' Icc b c = Icc (b + a) (c + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Icc Set.preimage_sub_const_Icc @[simp] theorem preimage_sub_const_Ico : (fun x => x - a) ⁻¹' Ico b c = Ico (b + a) (c + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ico Set.preimage_sub_const_Ico @[simp] theorem preimage_sub_const_Ioc : (fun x => x - a) ⁻¹' Ioc b c = Ioc (b + a) (c + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ioc Set.preimage_sub_const_Ioc @[simp] theorem preimage_sub_const_Ioo : (fun x => x - a) ⁻¹' Ioo b c = Ioo (b + a) (c + a) := by simp [sub_eq_add_neg] #align set.preimage_sub_const_Ioo Set.preimage_sub_const_Ioo @[simp] theorem preimage_const_sub_Ici : (fun x => a - x) ⁻¹' Ici b = Iic (a - b) := ext fun _x => le_sub_comm #align set.preimage_const_sub_Ici Set.preimage_const_sub_Ici @[simp] theorem preimage_const_sub_Iic : (fun x => a - x) ⁻¹' Iic b = Ici (a - b) := ext fun _x => sub_le_comm #align set.preimage_const_sub_Iic Set.preimage_const_sub_Iic @[simp] theorem preimage_const_sub_Ioi : (fun x => a - x) ⁻¹' Ioi b = Iio (a - b) := ext fun _x => lt_sub_comm #align set.preimage_const_sub_Ioi Set.preimage_const_sub_Ioi @[simp] theorem preimage_const_sub_Iio : (fun x => a - x) ⁻¹' Iio b = Ioi (a - b) := ext fun _x => sub_lt_comm #align set.preimage_const_sub_Iio Set.preimage_const_sub_Iio @[simp] theorem preimage_const_sub_Icc : (fun x => a - x) ⁻¹' Icc b c = Icc (a - c) (a - b) := by simp [← Ici_inter_Iic, inter_comm] #align set.preimage_const_sub_Icc Set.preimage_const_sub_Icc @[simp] theorem preimage_const_sub_Ico : (fun x => a - x) ⁻¹' Ico b c = Ioc (a - c) (a - b) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm] #align set.preimage_const_sub_Ico Set.preimage_const_sub_Ico @[simp] theorem preimage_const_sub_Ioc : (fun x => a - x) ⁻¹' Ioc b c = Ico (a - c) (a - b) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm] #align set.preimage_const_sub_Ioc Set.preimage_const_sub_Ioc @[simp] theorem preimage_const_sub_Ioo : (fun x => a - x) ⁻¹' Ioo b c = Ioo (a - c) (a - b) := by simp [← Ioi_inter_Iio, inter_comm] #align set.preimage_const_sub_Ioo Set.preimage_const_sub_Ioo -- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm` theorem image_const_add_Iic : (fun x => a + x) '' Iic b = Iic (a + b) := by simp [add_comm] #align set.image_const_add_Iic Set.image_const_add_Iic -- @[simp] -- Porting note (#10618): simp can prove this modulo `add_comm` theorem image_const_add_Iio : (fun x => a + x) '' Iio b = Iio (a + b) := by simp [add_comm] #align set.image_const_add_Iio Set.image_const_add_Iio -- @[simp] -- Porting note (#10618): simp can prove this theorem image_add_const_Iic : (fun x => x + a) '' Iic b = Iic (b + a) := by simp #align set.image_add_const_Iic Set.image_add_const_Iic -- @[simp] -- Porting note (#10618): simp can prove this theorem image_add_const_Iio : (fun x => x + a) '' Iio b = Iio (b + a) := by simp #align set.image_add_const_Iio Set.image_add_const_Iio
Mathlib/Data/Set/Pointwise/Interval.lean
375
375
theorem image_neg_Ici : Neg.neg '' Ici a = Iic (-a) := by
simp
import Mathlib.AlgebraicTopology.DoldKan.Projections import Mathlib.CategoryTheory.Idempotents.FunctorCategories import Mathlib.CategoryTheory.Idempotents.FunctorExtension #align_import algebraic_topology.dold_kan.p_infty from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.SimplicialObject CategoryTheory.Idempotents Opposite Simplicial DoldKan namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] {X : SimplicialObject C} theorem P_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) : ((P (q + 1)).f n : X _[n] ⟶ _) = (P q).f n := by rcases n with (_|n) · simp only [Nat.zero_eq, P_f_0_eq] · simp only [P_succ, add_right_eq_self, comp_add, HomologicalComplex.comp_f, HomologicalComplex.add_f_apply, comp_id] exact (HigherFacesVanish.of_P q n).comp_Hσ_eq_zero (Nat.succ_le_iff.mp hqn) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_is_eventually_constant AlgebraicTopology.DoldKan.P_is_eventually_constant theorem Q_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) : ((Q (q + 1)).f n : X _[n] ⟶ _) = (Q q).f n := by simp only [Q, HomologicalComplex.sub_f_apply, P_is_eventually_constant hqn] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_is_eventually_constant AlgebraicTopology.DoldKan.Q_is_eventually_constant noncomputable def PInfty : K[X] ⟶ K[X] := ChainComplex.ofHom _ _ _ _ _ _ (fun n => ((P n).f n : X _[n] ⟶ _)) fun n => by simpa only [← P_is_eventually_constant (show n ≤ n by rfl), AlternatingFaceMapComplex.obj_d_eq] using (P (n + 1) : K[X] ⟶ _).comm (n + 1) n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty AlgebraicTopology.DoldKan.PInfty noncomputable def QInfty : K[X] ⟶ K[X] := 𝟙 _ - PInfty set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty AlgebraicTopology.DoldKan.QInfty @[simp] theorem PInfty_f_0 : (PInfty.f 0 : X _[0] ⟶ X _[0]) = 𝟙 _ := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_0 AlgebraicTopology.DoldKan.PInfty_f_0 theorem PInfty_f (n : ℕ) : (PInfty.f n : X _[n] ⟶ X _[n]) = (P n).f n := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f AlgebraicTopology.DoldKan.PInfty_f @[simp] theorem QInfty_f_0 : (QInfty.f 0 : X _[0] ⟶ X _[0]) = 0 := by dsimp [QInfty] simp only [sub_self] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f_0 AlgebraicTopology.DoldKan.QInfty_f_0 theorem QInfty_f (n : ℕ) : (QInfty.f n : X _[n] ⟶ X _[n]) = (Q n).f n := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f AlgebraicTopology.DoldKan.QInfty_f @[reassoc (attr := simp)] theorem PInfty_f_naturality (n : ℕ) {X Y : SimplicialObject C} (f : X ⟶ Y) : f.app (op [n]) ≫ PInfty.f n = PInfty.f n ≫ f.app (op [n]) := P_f_naturality n n f set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_naturality AlgebraicTopology.DoldKan.PInfty_f_naturality @[reassoc (attr := simp)] theorem QInfty_f_naturality (n : ℕ) {X Y : SimplicialObject C} (f : X ⟶ Y) : f.app (op [n]) ≫ QInfty.f n = QInfty.f n ≫ f.app (op [n]) := Q_f_naturality n n f set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f_naturality AlgebraicTopology.DoldKan.QInfty_f_naturality @[reassoc (attr := simp)] theorem PInfty_f_idem (n : ℕ) : (PInfty.f n : X _[n] ⟶ _) ≫ PInfty.f n = PInfty.f n := by simp only [PInfty_f, P_f_idem] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_idem AlgebraicTopology.DoldKan.PInfty_f_idem @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/PInfty.lean
110
112
theorem PInfty_idem : (PInfty : K[X] ⟶ _) ≫ PInfty = PInfty := by
ext n exact PInfty_f_idem n
import Mathlib.Data.Finset.Lattice import Mathlib.Data.Multiset.Powerset #align_import data.finset.powerset from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" namespace Finset open Function Multiset variable {α : Type*} {s t : Finset α} section Powerset def powerset (s : Finset α) : Finset (Finset α) := ⟨(s.1.powerset.pmap Finset.mk) fun _t h => nodup_of_le (mem_powerset.1 h) s.nodup, s.nodup.powerset.pmap fun _a _ha _b _hb => congr_arg Finset.val⟩ #align finset.powerset Finset.powerset @[simp] theorem mem_powerset {s t : Finset α} : s ∈ powerset t ↔ s ⊆ t := by cases s simp [powerset, mem_mk, mem_pmap, mk.injEq, mem_powerset, exists_prop, exists_eq_right, ← val_le_iff] #align finset.mem_powerset Finset.mem_powerset @[simp, norm_cast]
Mathlib/Data/Finset/Powerset.lean
41
44
theorem coe_powerset (s : Finset α) : (s.powerset : Set (Finset α)) = ((↑) : Finset α → Set α) ⁻¹' (s : Set α).powerset := by
ext simp
import Mathlib.Logic.Pairwise import Mathlib.Order.CompleteBooleanAlgebra import Mathlib.Order.Directed import Mathlib.Order.GaloisConnection #align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" open Function Set universe u variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*} namespace Set theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by simp_rw [mem_iUnion] #align set.mem_Union₂ Set.mem_iUnion₂ theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by simp_rw [mem_iInter] #align set.mem_Inter₂ Set.mem_iInter₂ theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i := mem_iUnion.2 ⟨i, ha⟩ #align set.mem_Union_of_mem Set.mem_iUnion_of_mem theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) : a ∈ ⋃ (i) (j), s i j := mem_iUnion₂.2 ⟨i, j, ha⟩ #align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i := mem_iInter.2 h #align set.mem_Inter_of_mem Set.mem_iInter_of_mem theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) : a ∈ ⋂ (i) (j), s i j := mem_iInter₂.2 h #align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) := { instBooleanAlgebraSet with le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩ sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in sInf_le := fun s t t_in a h => h _ t_in iInf_iSup_eq := by intros; ext; simp [Classical.skolem] } instance : OrderTop (Set α) where top := univ le_top := by simp @[congr] theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ := iSup_congr_Prop pq f #align set.Union_congr_Prop Set.iUnion_congr_Prop @[congr] theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ := iInf_congr_Prop pq f #align set.Inter_congr_Prop Set.iInter_congr_Prop theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i := iSup_plift_up _ #align set.Union_plift_up Set.iUnion_plift_up theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i := iSup_plift_down _ #align set.Union_plift_down Set.iUnion_plift_down theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i := iInf_plift_up _ #align set.Inter_plift_up Set.iInter_plift_up theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i := iInf_plift_down _ #align set.Inter_plift_down Set.iInter_plift_down theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ := iSup_eq_if _ #align set.Union_eq_if Set.iUnion_eq_if theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋃ h : p, s h = if h : p then s h else ∅ := iSup_eq_dif _ #align set.Union_eq_dif Set.iUnion_eq_dif theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ := iInf_eq_if _ #align set.Inter_eq_if Set.iInter_eq_if theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋂ h : p, s h = if h : p then s h else univ := _root_.iInf_eq_dif _ #align set.Infi_eq_dif Set.iInf_eq_dif theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β) (w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by have p : x ∈ ⊤ := Set.mem_univ x rw [← w, Set.mem_iUnion] at p simpa using p #align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α) (H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some exact ⟨x, m⟩ #align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty theorem nonempty_of_nonempty_iUnion {s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by obtain ⟨x, hx⟩ := h_Union exact ⟨Classical.choose <| mem_iUnion.mp hx⟩ theorem nonempty_of_nonempty_iUnion_eq_univ {s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι := nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty) theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } := ext fun _ => mem_iUnion.symm #align set.set_of_exists Set.setOf_exists theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } := ext fun _ => mem_iInter.symm #align set.set_of_forall Set.setOf_forall theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t := iSup_le h #align set.Union_subset Set.iUnion_subset theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) : ⋃ (i) (j), s i j ⊆ t := iUnion_subset fun x => iUnion_subset (h x) #align set.Union₂_subset Set.iUnion₂_subset theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i := le_iInf h #align set.subset_Inter Set.subset_iInter theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) : s ⊆ ⋂ (i) (j), t i j := subset_iInter fun x => subset_iInter <| h x #align set.subset_Inter₂ Set.subset_iInter₂ @[simp] theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t := ⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩ #align set.Union_subset_iff Set.iUnion_subset_iff theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} : ⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff] #align set.Union₂_subset_iff Set.iUnion₂_subset_iff @[simp] theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i := le_iInf_iff #align set.subset_Inter_iff Set.subset_iInter_iff -- Porting note (#10618): removing `simp`. `simp` can prove it theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} : (s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff] #align set.subset_Inter₂_iff Set.subset_iInter₂_iff theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i := le_iSup #align set.subset_Union Set.subset_iUnion theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i := iInf_le #align set.Inter_subset Set.iInter_subset theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' := le_iSup₂ i j #align set.subset_Union₂ Set.subset_iUnion₂ theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j := iInf₂_le i j #align set.Inter₂_subset Set.iInter₂_subset theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i := le_iSup_of_le i h #align set.subset_Union_of_subset Set.subset_iUnion_of_subset theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) : ⋂ i, s i ⊆ t := iInf_le_of_le i h #align set.Inter_subset_of_subset Set.iInter_subset_of_subset theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i) (h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j := le_iSup₂_of_le i j h #align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i) (h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t := iInf₂_le_of_le i j h #align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono h #align set.Union_mono Set.iUnion_mono @[gcongr] theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t := iSup_mono h theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j := iSup₂_mono h #align set.Union₂_mono Set.iUnion₂_mono theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i := iInf_mono h #align set.Inter_mono Set.iInter_mono @[gcongr] theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t := iInf_mono h theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j := iInf₂_mono h #align set.Inter₂_mono Set.iInter₂_mono theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono' h #align set.Union_mono' Set.iUnion_mono' theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' := iSup₂_mono' h #align set.Union₂_mono' Set.iUnion₂_mono' theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) : ⋂ i, s i ⊆ ⋂ j, t j := Set.subset_iInter fun j => let ⟨i, hi⟩ := h j iInter_subset_of_subset i hi #align set.Inter_mono' Set.iInter_mono' theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' := subset_iInter₂_iff.2 fun i' j' => let ⟨_, _, hst⟩ := h i' j' (iInter₂_subset _ _).trans hst #align set.Inter₂_mono' Set.iInter₂_mono' theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) : ⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i := iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl #align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) : ⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i := iInter_mono fun _ => subset_iInter fun _ => Subset.rfl #align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂ theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by ext exact mem_iUnion #align set.Union_set_of Set.iUnion_setOf theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by ext exact mem_iInter #align set.Inter_set_of Set.iInter_setOf theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y := h1.iSup_congr h h2 #align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y := h1.iInf_congr h h2 #align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h #align set.Union_congr Set.iUnion_congr lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h #align set.Inter_congr Set.iInter_congr lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋃ (i) (j), s i j = ⋃ (i) (j), t i j := iUnion_congr fun i => iUnion_congr <| h i #align set.Union₂_congr Set.iUnion₂_congr lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋂ (i) (j), s i j = ⋂ (i) (j), t i j := iInter_congr fun i => iInter_congr <| h i #align set.Inter₂_congr Set.iInter₂_congr @[simp] theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ := compl_iSup #align set.compl_Union Set.compl_iUnion theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by simp_rw [compl_iUnion] #align set.compl_Union₂ Set.compl_iUnion₂ @[simp] theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ := compl_iInf #align set.compl_Inter Set.compl_iInter theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by simp_rw [compl_iInter] #align set.compl_Inter₂ Set.compl_iInter₂ -- classical -- complete_boolean_algebra theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by simp only [compl_iInter, compl_compl] #align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl -- classical -- complete_boolean_algebra theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by simp only [compl_iUnion, compl_compl] #align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i := inf_iSup_eq _ _ #align set.inter_Union Set.inter_iUnion theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s := iSup_inf_eq _ _ #align set.Union_inter Set.iUnion_inter theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) : ⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i := iSup_sup_eq #align set.Union_union_distrib Set.iUnion_union_distrib theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) : ⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i := iInf_inf_eq #align set.Inter_inter_distrib Set.iInter_inter_distrib theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i := sup_iSup #align set.union_Union Set.union_iUnion theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s := iSup_sup #align set.Union_union Set.iUnion_union theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i := inf_iInf #align set.inter_Inter Set.inter_iInter theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s := iInf_inf #align set.Inter_inter Set.iInter_inter -- classical theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i := sup_iInf_eq _ _ #align set.union_Inter Set.union_iInter theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t := iInf_sup_eq _ _ #align set.Inter_union Set.iInter_union theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s := iUnion_inter _ _ #align set.Union_diff Set.iUnion_diff theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by rw [diff_eq, compl_iUnion, inter_iInter]; rfl #align set.diff_Union Set.diff_iUnion theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by rw [diff_eq, compl_iInter, inter_iUnion]; rfl #align set.diff_Inter Set.diff_iInter theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i := le_iSup_inf_iSup s t #align set.Union_inter_subset Set.iUnion_inter_subset theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_monotone hs ht #align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_antitone hs ht #align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_monotone hs ht #align set.Inter_union_of_monotone Set.iInter_union_of_monotone theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_antitone hs ht #align set.Inter_union_of_antitone Set.iInter_union_of_antitone theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j := iSup_iInf_le_iInf_iSup (flip s) #align set.Union_Inter_subset Set.iUnion_iInter_subset theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) := iSup_option s #align set.Union_option Set.iUnion_option theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) := iInf_option s #align set.Inter_option Set.iInter_option section variable (p : ι → Prop) [DecidablePred p] theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h := iSup_dite _ _ _ #align set.Union_dite Set.iUnion_dite theorem iUnion_ite (f g : ι → Set α) : ⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i := iUnion_dite _ _ _ #align set.Union_ite Set.iUnion_ite theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h := iInf_dite _ _ _ #align set.Inter_dite Set.iInter_dite theorem iInter_ite (f g : ι → Set α) : ⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i := iInter_dite _ _ _ #align set.Inter_ite Set.iInter_ite end theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)} (hv : (pi univ v).Nonempty) (i : ι) : ((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by classical apply Subset.antisymm · simp [iInter_subset] · intro y y_in simp only [mem_image, mem_iInter, mem_preimage] rcases hv with ⟨z, hz⟩ refine ⟨Function.update z i y, ?_, update_same i y z⟩ rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i] exact ⟨y_in, fun j _ => by simpa using hz j⟩ #align set.image_projection_prod Set.image_projection_prod theorem iInter_false {s : False → Set α} : iInter s = univ := iInf_false #align set.Inter_false Set.iInter_false theorem iUnion_false {s : False → Set α} : iUnion s = ∅ := iSup_false #align set.Union_false Set.iUnion_false @[simp] theorem iInter_true {s : True → Set α} : iInter s = s trivial := iInf_true #align set.Inter_true Set.iInter_true @[simp] theorem iUnion_true {s : True → Set α} : iUnion s = s trivial := iSup_true #align set.Union_true Set.iUnion_true @[simp] theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} : ⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ := iInf_exists #align set.Inter_exists Set.iInter_exists @[simp] theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} : ⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ := iSup_exists #align set.Union_exists Set.iUnion_exists @[simp] theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ := iSup_bot #align set.Union_empty Set.iUnion_empty @[simp] theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ := iInf_top #align set.Inter_univ Set.iInter_univ section variable {s : ι → Set α} @[simp] theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ := iSup_eq_bot #align set.Union_eq_empty Set.iUnion_eq_empty @[simp] theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ := iInf_eq_top #align set.Inter_eq_univ Set.iInter_eq_univ @[simp] theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by simp [nonempty_iff_ne_empty] #align set.nonempty_Union Set.nonempty_iUnion -- Porting note (#10618): removing `simp`. `simp` can prove it theorem nonempty_biUnion {t : Set α} {s : α → Set β} : (⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by simp #align set.nonempty_bUnion Set.nonempty_biUnion theorem iUnion_nonempty_index (s : Set α) (t : s.Nonempty → Set β) : ⋃ h, t h = ⋃ x ∈ s, t ⟨x, ‹_›⟩ := iSup_exists #align set.Union_nonempty_index Set.iUnion_nonempty_index end @[simp] theorem iInter_iInter_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋂ (x) (h : x = b), s x h = s b rfl := iInf_iInf_eq_left #align set.Inter_Inter_eq_left Set.iInter_iInter_eq_left @[simp] theorem iInter_iInter_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋂ (x) (h : b = x), s x h = s b rfl := iInf_iInf_eq_right #align set.Inter_Inter_eq_right Set.iInter_iInter_eq_right @[simp] theorem iUnion_iUnion_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋃ (x) (h : x = b), s x h = s b rfl := iSup_iSup_eq_left #align set.Union_Union_eq_left Set.iUnion_iUnion_eq_left @[simp] theorem iUnion_iUnion_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋃ (x) (h : b = x), s x h = s b rfl := iSup_iSup_eq_right #align set.Union_Union_eq_right Set.iUnion_iUnion_eq_right theorem iInter_or {p q : Prop} (s : p ∨ q → Set α) : ⋂ h, s h = (⋂ h : p, s (Or.inl h)) ∩ ⋂ h : q, s (Or.inr h) := iInf_or #align set.Inter_or Set.iInter_or theorem iUnion_or {p q : Prop} (s : p ∨ q → Set α) : ⋃ h, s h = (⋃ i, s (Or.inl i)) ∪ ⋃ j, s (Or.inr j) := iSup_or #align set.Union_or Set.iUnion_or theorem iUnion_and {p q : Prop} (s : p ∧ q → Set α) : ⋃ h, s h = ⋃ (hp) (hq), s ⟨hp, hq⟩ := iSup_and #align set.Union_and Set.iUnion_and theorem iInter_and {p q : Prop} (s : p ∧ q → Set α) : ⋂ h, s h = ⋂ (hp) (hq), s ⟨hp, hq⟩ := iInf_and #align set.Inter_and Set.iInter_and theorem iUnion_comm (s : ι → ι' → Set α) : ⋃ (i) (i'), s i i' = ⋃ (i') (i), s i i' := iSup_comm #align set.Union_comm Set.iUnion_comm theorem iInter_comm (s : ι → ι' → Set α) : ⋂ (i) (i'), s i i' = ⋂ (i') (i), s i i' := iInf_comm #align set.Inter_comm Set.iInter_comm theorem iUnion_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋃ ia, s ia = ⋃ i, ⋃ a, s ⟨i, a⟩ := iSup_sigma theorem iUnion_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋃ i, ⋃ a, s i a = ⋃ ia : Sigma γ, s ia.1 ia.2 := iSup_sigma' _ theorem iInter_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋂ ia, s ia = ⋂ i, ⋂ a, s ⟨i, a⟩ := iInf_sigma theorem iInter_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋂ i, ⋂ a, s i a = ⋂ ia : Sigma γ, s ia.1 ia.2 := iInf_sigma' _ theorem iUnion₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋃ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋃ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iSup₂_comm _ #align set.Union₂_comm Set.iUnion₂_comm theorem iInter₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋂ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋂ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iInf₂_comm _ #align set.Inter₂_comm Set.iInter₂_comm @[simp] theorem biUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iUnion_and, @iUnion_comm _ ι'] #align set.bUnion_and Set.biUnion_and @[simp] theorem biUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iUnion_and, @iUnion_comm _ ι] #align set.bUnion_and' Set.biUnion_and' @[simp] theorem biInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iInter_and, @iInter_comm _ ι'] #align set.bInter_and Set.biInter_and @[simp] theorem biInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iInter_and, @iInter_comm _ ι] #align set.bInter_and' Set.biInter_and' @[simp] theorem iUnion_iUnion_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋃ (x) (h), s x h = s b (Or.inl rfl) ∪ ⋃ (x) (h : p x), s x (Or.inr h) := by simp only [iUnion_or, iUnion_union_distrib, iUnion_iUnion_eq_left] #align set.Union_Union_eq_or_left Set.iUnion_iUnion_eq_or_left @[simp] theorem iInter_iInter_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋂ (x) (h), s x h = s b (Or.inl rfl) ∩ ⋂ (x) (h : p x), s x (Or.inr h) := by simp only [iInter_or, iInter_inter_distrib, iInter_iInter_eq_left] #align set.Inter_Inter_eq_or_left Set.iInter_iInter_eq_or_left theorem mem_biUnion {s : Set α} {t : α → Set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) : y ∈ ⋃ x ∈ s, t x := mem_iUnion₂_of_mem xs ytx #align set.mem_bUnion Set.mem_biUnion theorem mem_biInter {s : Set α} {t : α → Set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) : y ∈ ⋂ x ∈ s, t x := mem_iInter₂_of_mem h #align set.mem_bInter Set.mem_biInter theorem subset_biUnion_of_mem {s : Set α} {u : α → Set β} {x : α} (xs : x ∈ s) : u x ⊆ ⋃ x ∈ s, u x := -- Porting note: Why is this not just `subset_iUnion₂ x xs`? @subset_iUnion₂ β α (· ∈ s) (fun i _ => u i) x xs #align set.subset_bUnion_of_mem Set.subset_biUnion_of_mem theorem biInter_subset_of_mem {s : Set α} {t : α → Set β} {x : α} (xs : x ∈ s) : ⋂ x ∈ s, t x ⊆ t x := iInter₂_subset x xs #align set.bInter_subset_of_mem Set.biInter_subset_of_mem theorem biUnion_subset_biUnion_left {s s' : Set α} {t : α → Set β} (h : s ⊆ s') : ⋃ x ∈ s, t x ⊆ ⋃ x ∈ s', t x := iUnion₂_subset fun _ hx => subset_biUnion_of_mem <| h hx #align set.bUnion_subset_bUnion_left Set.biUnion_subset_biUnion_left theorem biInter_subset_biInter_left {s s' : Set α} {t : α → Set β} (h : s' ⊆ s) : ⋂ x ∈ s, t x ⊆ ⋂ x ∈ s', t x := subset_iInter₂ fun _ hx => biInter_subset_of_mem <| h hx #align set.bInter_subset_bInter_left Set.biInter_subset_biInter_left theorem biUnion_mono {s s' : Set α} {t t' : α → Set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) : ⋃ x ∈ s', t x ⊆ ⋃ x ∈ s, t' x := (biUnion_subset_biUnion_left hs).trans <| iUnion₂_mono h #align set.bUnion_mono Set.biUnion_mono theorem biInter_mono {s s' : Set α} {t t' : α → Set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) : ⋂ x ∈ s', t x ⊆ ⋂ x ∈ s, t' x := (biInter_subset_biInter_left hs).trans <| iInter₂_mono h #align set.bInter_mono Set.biInter_mono theorem biUnion_eq_iUnion (s : Set α) (t : ∀ x ∈ s, Set β) : ⋃ x ∈ s, t x ‹_› = ⋃ x : s, t x x.2 := iSup_subtype' #align set.bUnion_eq_Union Set.biUnion_eq_iUnion theorem biInter_eq_iInter (s : Set α) (t : ∀ x ∈ s, Set β) : ⋂ x ∈ s, t x ‹_› = ⋂ x : s, t x x.2 := iInf_subtype' #align set.bInter_eq_Inter Set.biInter_eq_iInter theorem iUnion_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋃ x : { x // p x }, s x = ⋃ (x) (hx : p x), s ⟨x, hx⟩ := iSup_subtype #align set.Union_subtype Set.iUnion_subtype theorem iInter_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋂ x : { x // p x }, s x = ⋂ (x) (hx : p x), s ⟨x, hx⟩ := iInf_subtype #align set.Inter_subtype Set.iInter_subtype theorem biInter_empty (u : α → Set β) : ⋂ x ∈ (∅ : Set α), u x = univ := iInf_emptyset #align set.bInter_empty Set.biInter_empty theorem biInter_univ (u : α → Set β) : ⋂ x ∈ @univ α, u x = ⋂ x, u x := iInf_univ #align set.bInter_univ Set.biInter_univ @[simp] theorem biUnion_self (s : Set α) : ⋃ x ∈ s, s = s := Subset.antisymm (iUnion₂_subset fun _ _ => Subset.refl s) fun _ hx => mem_biUnion hx hx #align set.bUnion_self Set.biUnion_self @[simp] theorem iUnion_nonempty_self (s : Set α) : ⋃ _ : s.Nonempty, s = s := by rw [iUnion_nonempty_index, biUnion_self] #align set.Union_nonempty_self Set.iUnion_nonempty_self theorem biInter_singleton (a : α) (s : α → Set β) : ⋂ x ∈ ({a} : Set α), s x = s a := iInf_singleton #align set.bInter_singleton Set.biInter_singleton theorem biInter_union (s t : Set α) (u : α → Set β) : ⋂ x ∈ s ∪ t, u x = (⋂ x ∈ s, u x) ∩ ⋂ x ∈ t, u x := iInf_union #align set.bInter_union Set.biInter_union theorem biInter_insert (a : α) (s : Set α) (t : α → Set β) : ⋂ x ∈ insert a s, t x = t a ∩ ⋂ x ∈ s, t x := by simp #align set.bInter_insert Set.biInter_insert theorem biInter_pair (a b : α) (s : α → Set β) : ⋂ x ∈ ({a, b} : Set α), s x = s a ∩ s b := by rw [biInter_insert, biInter_singleton] #align set.bInter_pair Set.biInter_pair theorem biInter_inter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, f i ∩ t = (⋂ i ∈ s, f i) ∩ t := by haveI : Nonempty s := hs.to_subtype simp [biInter_eq_iInter, ← iInter_inter] #align set.bInter_inter Set.biInter_inter theorem inter_biInter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, t ∩ f i = t ∩ ⋂ i ∈ s, f i := by rw [inter_comm, ← biInter_inter hs] simp [inter_comm] #align set.inter_bInter Set.inter_biInter theorem biUnion_empty (s : α → Set β) : ⋃ x ∈ (∅ : Set α), s x = ∅ := iSup_emptyset #align set.bUnion_empty Set.biUnion_empty theorem biUnion_univ (s : α → Set β) : ⋃ x ∈ @univ α, s x = ⋃ x, s x := iSup_univ #align set.bUnion_univ Set.biUnion_univ theorem biUnion_singleton (a : α) (s : α → Set β) : ⋃ x ∈ ({a} : Set α), s x = s a := iSup_singleton #align set.bUnion_singleton Set.biUnion_singleton @[simp] theorem biUnion_of_singleton (s : Set α) : ⋃ x ∈ s, {x} = s := ext <| by simp #align set.bUnion_of_singleton Set.biUnion_of_singleton theorem biUnion_union (s t : Set α) (u : α → Set β) : ⋃ x ∈ s ∪ t, u x = (⋃ x ∈ s, u x) ∪ ⋃ x ∈ t, u x := iSup_union #align set.bUnion_union Set.biUnion_union @[simp] theorem iUnion_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋃ i, f i = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iUnion_subtype _ _ #align set.Union_coe_set Set.iUnion_coe_set @[simp] theorem iInter_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋂ i, f i = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iInter_subtype _ _ #align set.Inter_coe_set Set.iInter_coe_set theorem biUnion_insert (a : α) (s : Set α) (t : α → Set β) : ⋃ x ∈ insert a s, t x = t a ∪ ⋃ x ∈ s, t x := by simp #align set.bUnion_insert Set.biUnion_insert theorem biUnion_pair (a b : α) (s : α → Set β) : ⋃ x ∈ ({a, b} : Set α), s x = s a ∪ s b := by simp #align set.bUnion_pair Set.biUnion_pair theorem inter_iUnion₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∩ ⋃ (i) (j), t i j) = ⋃ (i) (j), s ∩ t i j := by simp only [inter_iUnion] #align set.inter_Union₂ Set.inter_iUnion₂ theorem iUnion₂_inter (s : ∀ i, κ i → Set α) (t : Set α) : (⋃ (i) (j), s i j) ∩ t = ⋃ (i) (j), s i j ∩ t := by simp_rw [iUnion_inter] #align set.Union₂_inter Set.iUnion₂_inter theorem union_iInter₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_iInter] #align set.union_Inter₂ Set.union_iInter₂ theorem iInter₂_union (s : ∀ i, κ i → Set α) (t : Set α) : (⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [iInter_union] #align set.Inter₂_union Set.iInter₂_union theorem mem_sUnion_of_mem {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∈ t) (ht : t ∈ S) : x ∈ ⋃₀S := ⟨t, ht, hx⟩ #align set.mem_sUnion_of_mem Set.mem_sUnion_of_mem -- is this theorem really necessary? theorem not_mem_of_not_mem_sUnion {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∉ ⋃₀S) (ht : t ∈ S) : x ∉ t := fun h => hx ⟨t, ht, h⟩ #align set.not_mem_of_not_mem_sUnion Set.not_mem_of_not_mem_sUnion theorem sInter_subset_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : ⋂₀ S ⊆ t := sInf_le tS #align set.sInter_subset_of_mem Set.sInter_subset_of_mem theorem subset_sUnion_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : t ⊆ ⋃₀S := le_sSup tS #align set.subset_sUnion_of_mem Set.subset_sUnion_of_mem theorem subset_sUnion_of_subset {s : Set α} (t : Set (Set α)) (u : Set α) (h₁ : s ⊆ u) (h₂ : u ∈ t) : s ⊆ ⋃₀t := Subset.trans h₁ (subset_sUnion_of_mem h₂) #align set.subset_sUnion_of_subset Set.subset_sUnion_of_subset theorem sUnion_subset {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t' ⊆ t) : ⋃₀S ⊆ t := sSup_le h #align set.sUnion_subset Set.sUnion_subset @[simp] theorem sUnion_subset_iff {s : Set (Set α)} {t : Set α} : ⋃₀s ⊆ t ↔ ∀ t' ∈ s, t' ⊆ t := sSup_le_iff #align set.sUnion_subset_iff Set.sUnion_subset_iff lemma sUnion_mono_subsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, t ⊆ f t) : ⋃₀ s ⊆ ⋃₀ (f '' s) := fun _ ⟨t, htx, hxt⟩ ↦ ⟨f t, mem_image_of_mem f htx, hf t hxt⟩ lemma sUnion_mono_supsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, f t ⊆ t) : ⋃₀ (f '' s) ⊆ ⋃₀ s := -- If t ∈ f '' s is arbitrary; t = f u for some u : Set α. fun _ ⟨_, ⟨u, hus, hut⟩, hxt⟩ ↦ ⟨u, hus, (hut ▸ hf u) hxt⟩ theorem subset_sInter {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t ⊆ t') : t ⊆ ⋂₀ S := le_sInf h #align set.subset_sInter Set.subset_sInter @[simp] theorem subset_sInter_iff {S : Set (Set α)} {t : Set α} : t ⊆ ⋂₀ S ↔ ∀ t' ∈ S, t ⊆ t' := le_sInf_iff #align set.subset_sInter_iff Set.subset_sInter_iff @[gcongr] theorem sUnion_subset_sUnion {S T : Set (Set α)} (h : S ⊆ T) : ⋃₀S ⊆ ⋃₀T := sUnion_subset fun _ hs => subset_sUnion_of_mem (h hs) #align set.sUnion_subset_sUnion Set.sUnion_subset_sUnion @[gcongr] theorem sInter_subset_sInter {S T : Set (Set α)} (h : S ⊆ T) : ⋂₀ T ⊆ ⋂₀ S := subset_sInter fun _ hs => sInter_subset_of_mem (h hs) #align set.sInter_subset_sInter Set.sInter_subset_sInter @[simp] theorem sUnion_empty : ⋃₀∅ = (∅ : Set α) := sSup_empty #align set.sUnion_empty Set.sUnion_empty @[simp] theorem sInter_empty : ⋂₀ ∅ = (univ : Set α) := sInf_empty #align set.sInter_empty Set.sInter_empty @[simp] theorem sUnion_singleton (s : Set α) : ⋃₀{s} = s := sSup_singleton #align set.sUnion_singleton Set.sUnion_singleton @[simp] theorem sInter_singleton (s : Set α) : ⋂₀ {s} = s := sInf_singleton #align set.sInter_singleton Set.sInter_singleton @[simp] theorem sUnion_eq_empty {S : Set (Set α)} : ⋃₀S = ∅ ↔ ∀ s ∈ S, s = ∅ := sSup_eq_bot #align set.sUnion_eq_empty Set.sUnion_eq_empty @[simp] theorem sInter_eq_univ {S : Set (Set α)} : ⋂₀ S = univ ↔ ∀ s ∈ S, s = univ := sInf_eq_top #align set.sInter_eq_univ Set.sInter_eq_univ theorem subset_powerset_iff {s : Set (Set α)} {t : Set α} : s ⊆ 𝒫 t ↔ ⋃₀ s ⊆ t := sUnion_subset_iff.symm theorem sUnion_powerset_gc : GaloisConnection (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) := gc_sSup_Iic def sUnion_powerset_gi : GaloisInsertion (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) := gi_sSup_Iic theorem sUnion_mem_empty_univ {S : Set (Set α)} (h : S ⊆ {∅, univ}) : ⋃₀ S ∈ ({∅, univ} : Set (Set α)) := by simp only [mem_insert_iff, mem_singleton_iff, or_iff_not_imp_left, sUnion_eq_empty, not_forall] rintro ⟨s, hs, hne⟩ obtain rfl : s = univ := (h hs).resolve_left hne exact univ_subset_iff.1 <| subset_sUnion_of_mem hs @[simp] theorem nonempty_sUnion {S : Set (Set α)} : (⋃₀S).Nonempty ↔ ∃ s ∈ S, Set.Nonempty s := by simp [nonempty_iff_ne_empty] #align set.nonempty_sUnion Set.nonempty_sUnion theorem Nonempty.of_sUnion {s : Set (Set α)} (h : (⋃₀s).Nonempty) : s.Nonempty := let ⟨s, hs, _⟩ := nonempty_sUnion.1 h ⟨s, hs⟩ #align set.nonempty.of_sUnion Set.Nonempty.of_sUnion theorem Nonempty.of_sUnion_eq_univ [Nonempty α] {s : Set (Set α)} (h : ⋃₀s = univ) : s.Nonempty := Nonempty.of_sUnion <| h.symm ▸ univ_nonempty #align set.nonempty.of_sUnion_eq_univ Set.Nonempty.of_sUnion_eq_univ theorem sUnion_union (S T : Set (Set α)) : ⋃₀(S ∪ T) = ⋃₀S ∪ ⋃₀T := sSup_union #align set.sUnion_union Set.sUnion_union theorem sInter_union (S T : Set (Set α)) : ⋂₀ (S ∪ T) = ⋂₀ S ∩ ⋂₀ T := sInf_union #align set.sInter_union Set.sInter_union @[simp] theorem sUnion_insert (s : Set α) (T : Set (Set α)) : ⋃₀insert s T = s ∪ ⋃₀T := sSup_insert #align set.sUnion_insert Set.sUnion_insert @[simp] theorem sInter_insert (s : Set α) (T : Set (Set α)) : ⋂₀ insert s T = s ∩ ⋂₀ T := sInf_insert #align set.sInter_insert Set.sInter_insert @[simp] theorem sUnion_diff_singleton_empty (s : Set (Set α)) : ⋃₀(s \ {∅}) = ⋃₀s := sSup_diff_singleton_bot s #align set.sUnion_diff_singleton_empty Set.sUnion_diff_singleton_empty @[simp] theorem sInter_diff_singleton_univ (s : Set (Set α)) : ⋂₀ (s \ {univ}) = ⋂₀ s := sInf_diff_singleton_top s #align set.sInter_diff_singleton_univ Set.sInter_diff_singleton_univ theorem sUnion_pair (s t : Set α) : ⋃₀{s, t} = s ∪ t := sSup_pair #align set.sUnion_pair Set.sUnion_pair theorem sInter_pair (s t : Set α) : ⋂₀ {s, t} = s ∩ t := sInf_pair #align set.sInter_pair Set.sInter_pair @[simp] theorem sUnion_image (f : α → Set β) (s : Set α) : ⋃₀(f '' s) = ⋃ x ∈ s, f x := sSup_image #align set.sUnion_image Set.sUnion_image @[simp] theorem sInter_image (f : α → Set β) (s : Set α) : ⋂₀ (f '' s) = ⋂ x ∈ s, f x := sInf_image #align set.sInter_image Set.sInter_image @[simp] theorem sUnion_range (f : ι → Set β) : ⋃₀range f = ⋃ x, f x := rfl #align set.sUnion_range Set.sUnion_range @[simp] theorem sInter_range (f : ι → Set β) : ⋂₀ range f = ⋂ x, f x := rfl #align set.sInter_range Set.sInter_range theorem iUnion_eq_univ_iff {f : ι → Set α} : ⋃ i, f i = univ ↔ ∀ x, ∃ i, x ∈ f i := by simp only [eq_univ_iff_forall, mem_iUnion] #align set.Union_eq_univ_iff Set.iUnion_eq_univ_iff theorem iUnion₂_eq_univ_iff {s : ∀ i, κ i → Set α} : ⋃ (i) (j), s i j = univ ↔ ∀ a, ∃ i j, a ∈ s i j := by simp only [iUnion_eq_univ_iff, mem_iUnion] #align set.Union₂_eq_univ_iff Set.iUnion₂_eq_univ_iff theorem sUnion_eq_univ_iff {c : Set (Set α)} : ⋃₀c = univ ↔ ∀ a, ∃ b ∈ c, a ∈ b := by simp only [eq_univ_iff_forall, mem_sUnion] #align set.sUnion_eq_univ_iff Set.sUnion_eq_univ_iff -- classical theorem iInter_eq_empty_iff {f : ι → Set α} : ⋂ i, f i = ∅ ↔ ∀ x, ∃ i, x ∉ f i := by simp [Set.eq_empty_iff_forall_not_mem] #align set.Inter_eq_empty_iff Set.iInter_eq_empty_iff -- classical theorem iInter₂_eq_empty_iff {s : ∀ i, κ i → Set α} : ⋂ (i) (j), s i j = ∅ ↔ ∀ a, ∃ i j, a ∉ s i j := by simp only [eq_empty_iff_forall_not_mem, mem_iInter, not_forall] #align set.Inter₂_eq_empty_iff Set.iInter₂_eq_empty_iff -- classical theorem sInter_eq_empty_iff {c : Set (Set α)} : ⋂₀ c = ∅ ↔ ∀ a, ∃ b ∈ c, a ∉ b := by simp [Set.eq_empty_iff_forall_not_mem] #align set.sInter_eq_empty_iff Set.sInter_eq_empty_iff -- classical @[simp] theorem nonempty_iInter {f : ι → Set α} : (⋂ i, f i).Nonempty ↔ ∃ x, ∀ i, x ∈ f i := by simp [nonempty_iff_ne_empty, iInter_eq_empty_iff] #align set.nonempty_Inter Set.nonempty_iInter -- classical -- Porting note (#10618): removing `simp`. `simp` can prove it theorem nonempty_iInter₂ {s : ∀ i, κ i → Set α} : (⋂ (i) (j), s i j).Nonempty ↔ ∃ a, ∀ i j, a ∈ s i j := by simp #align set.nonempty_Inter₂ Set.nonempty_iInter₂ -- classical @[simp] theorem nonempty_sInter {c : Set (Set α)} : (⋂₀ c).Nonempty ↔ ∃ a, ∀ b ∈ c, a ∈ b := by simp [nonempty_iff_ne_empty, sInter_eq_empty_iff] #align set.nonempty_sInter Set.nonempty_sInter -- classical theorem compl_sUnion (S : Set (Set α)) : (⋃₀S)ᶜ = ⋂₀ (compl '' S) := ext fun x => by simp #align set.compl_sUnion Set.compl_sUnion -- classical theorem sUnion_eq_compl_sInter_compl (S : Set (Set α)) : ⋃₀S = (⋂₀ (compl '' S))ᶜ := by rw [← compl_compl (⋃₀S), compl_sUnion] #align set.sUnion_eq_compl_sInter_compl Set.sUnion_eq_compl_sInter_compl -- classical theorem compl_sInter (S : Set (Set α)) : (⋂₀ S)ᶜ = ⋃₀(compl '' S) := by rw [sUnion_eq_compl_sInter_compl, compl_compl_image] #align set.compl_sInter Set.compl_sInter -- classical theorem sInter_eq_compl_sUnion_compl (S : Set (Set α)) : ⋂₀ S = (⋃₀(compl '' S))ᶜ := by rw [← compl_compl (⋂₀ S), compl_sInter] #align set.sInter_eq_compl_sUnion_compl Set.sInter_eq_compl_sUnion_compl theorem inter_empty_of_inter_sUnion_empty {s t : Set α} {S : Set (Set α)} (hs : t ∈ S) (h : s ∩ ⋃₀S = ∅) : s ∩ t = ∅ := eq_empty_of_subset_empty <| by rw [← h]; exact inter_subset_inter_right _ (subset_sUnion_of_mem hs) #align set.inter_empty_of_inter_sUnion_empty Set.inter_empty_of_inter_sUnion_empty theorem range_sigma_eq_iUnion_range {γ : α → Type*} (f : Sigma γ → β) : range f = ⋃ a, range fun b => f ⟨a, b⟩ := Set.ext <| by simp #align set.range_sigma_eq_Union_range Set.range_sigma_eq_iUnion_range theorem iUnion_eq_range_sigma (s : α → Set β) : ⋃ i, s i = range fun a : Σi, s i => a.2 := by simp [Set.ext_iff] #align set.Union_eq_range_sigma Set.iUnion_eq_range_sigma theorem iUnion_eq_range_psigma (s : ι → Set β) : ⋃ i, s i = range fun a : Σ'i, s i => a.2 := by simp [Set.ext_iff] #align set.Union_eq_range_psigma Set.iUnion_eq_range_psigma theorem iUnion_image_preimage_sigma_mk_eq_self {ι : Type*} {σ : ι → Type*} (s : Set (Sigma σ)) : ⋃ i, Sigma.mk i '' (Sigma.mk i ⁻¹' s) = s := by ext x simp only [mem_iUnion, mem_image, mem_preimage] constructor · rintro ⟨i, a, h, rfl⟩ exact h · intro h cases' x with i a exact ⟨i, a, h, rfl⟩ #align set.Union_image_preimage_sigma_mk_eq_self Set.iUnion_image_preimage_sigma_mk_eq_self theorem Sigma.univ (X : α → Type*) : (Set.univ : Set (Σa, X a)) = ⋃ a, range (Sigma.mk a) := Set.ext fun x => iff_of_true trivial ⟨range (Sigma.mk x.1), Set.mem_range_self _, x.2, Sigma.eta x⟩ #align set.sigma.univ Set.Sigma.univ alias sUnion_mono := sUnion_subset_sUnion #align set.sUnion_mono Set.sUnion_mono theorem iUnion_subset_iUnion_const {s : Set α} (h : ι → ι₂) : ⋃ _ : ι, s ⊆ ⋃ _ : ι₂, s := iSup_const_mono (α := Set α) h #align set.Union_subset_Union_const Set.iUnion_subset_iUnion_const @[simp] theorem iUnion_singleton_eq_range {α β : Type*} (f : α → β) : ⋃ x : α, {f x} = range f := by ext x simp [@eq_comm _ x] #align set.Union_singleton_eq_range Set.iUnion_singleton_eq_range theorem iUnion_of_singleton (α : Type*) : (⋃ x, {x} : Set α) = univ := by simp [Set.ext_iff] #align set.Union_of_singleton Set.iUnion_of_singleton theorem iUnion_of_singleton_coe (s : Set α) : ⋃ i : s, ({(i : α)} : Set α) = s := by simp #align set.Union_of_singleton_coe Set.iUnion_of_singleton_coe theorem sUnion_eq_biUnion {s : Set (Set α)} : ⋃₀s = ⋃ (i : Set α) (_ : i ∈ s), i := by rw [← sUnion_image, image_id'] #align set.sUnion_eq_bUnion Set.sUnion_eq_biUnion theorem sInter_eq_biInter {s : Set (Set α)} : ⋂₀ s = ⋂ (i : Set α) (_ : i ∈ s), i := by rw [← sInter_image, image_id'] #align set.sInter_eq_bInter Set.sInter_eq_biInter theorem sUnion_eq_iUnion {s : Set (Set α)} : ⋃₀s = ⋃ i : s, i := by simp only [← sUnion_range, Subtype.range_coe] #align set.sUnion_eq_Union Set.sUnion_eq_iUnion theorem sInter_eq_iInter {s : Set (Set α)} : ⋂₀ s = ⋂ i : s, i := by simp only [← sInter_range, Subtype.range_coe] #align set.sInter_eq_Inter Set.sInter_eq_iInter @[simp] theorem iUnion_of_empty [IsEmpty ι] (s : ι → Set α) : ⋃ i, s i = ∅ := iSup_of_empty _ #align set.Union_of_empty Set.iUnion_of_empty @[simp] theorem iInter_of_empty [IsEmpty ι] (s : ι → Set α) : ⋂ i, s i = univ := iInf_of_empty _ #align set.Inter_of_empty Set.iInter_of_empty theorem union_eq_iUnion {s₁ s₂ : Set α} : s₁ ∪ s₂ = ⋃ b : Bool, cond b s₁ s₂ := sup_eq_iSup s₁ s₂ #align set.union_eq_Union Set.union_eq_iUnion theorem inter_eq_iInter {s₁ s₂ : Set α} : s₁ ∩ s₂ = ⋂ b : Bool, cond b s₁ s₂ := inf_eq_iInf s₁ s₂ #align set.inter_eq_Inter Set.inter_eq_iInter theorem sInter_union_sInter {S T : Set (Set α)} : ⋂₀ S ∪ ⋂₀ T = ⋂ p ∈ S ×ˢ T, (p : Set α × Set α).1 ∪ p.2 := sInf_sup_sInf #align set.sInter_union_sInter Set.sInter_union_sInter theorem sUnion_inter_sUnion {s t : Set (Set α)} : ⋃₀s ∩ ⋃₀t = ⋃ p ∈ s ×ˢ t, (p : Set α × Set α).1 ∩ p.2 := sSup_inf_sSup #align set.sUnion_inter_sUnion Set.sUnion_inter_sUnion theorem biUnion_iUnion (s : ι → Set α) (t : α → Set β) : ⋃ x ∈ ⋃ i, s i, t x = ⋃ (i) (x ∈ s i), t x := by simp [@iUnion_comm _ ι] #align set.bUnion_Union Set.biUnion_iUnion theorem biInter_iUnion (s : ι → Set α) (t : α → Set β) : ⋂ x ∈ ⋃ i, s i, t x = ⋂ (i) (x ∈ s i), t x := by simp [@iInter_comm _ ι] #align set.bInter_Union Set.biInter_iUnion theorem sUnion_iUnion (s : ι → Set (Set α)) : ⋃₀⋃ i, s i = ⋃ i, ⋃₀s i := by simp only [sUnion_eq_biUnion, biUnion_iUnion] #align set.sUnion_Union Set.sUnion_iUnion theorem sInter_iUnion (s : ι → Set (Set α)) : ⋂₀ ⋃ i, s i = ⋂ i, ⋂₀ s i := by simp only [sInter_eq_biInter, biInter_iUnion] #align set.sInter_Union Set.sInter_iUnion theorem iUnion_range_eq_sUnion {α β : Type*} (C : Set (Set α)) {f : ∀ s : C, β → (s : Type _)} (hf : ∀ s : C, Surjective (f s)) : ⋃ y : β, range (fun s : C => (f s y).val) = ⋃₀C := by ext x; constructor · rintro ⟨s, ⟨y, rfl⟩, ⟨s, hs⟩, rfl⟩ refine ⟨_, hs, ?_⟩ exact (f ⟨s, hs⟩ y).2 · rintro ⟨s, hs, hx⟩ cases' hf ⟨s, hs⟩ ⟨x, hx⟩ with y hy refine ⟨_, ⟨y, rfl⟩, ⟨s, hs⟩, ?_⟩ exact congr_arg Subtype.val hy #align set.Union_range_eq_sUnion Set.iUnion_range_eq_sUnion
Mathlib/Data/Set/Lattice.lean
1,376
1,383
theorem iUnion_range_eq_iUnion (C : ι → Set α) {f : ∀ x : ι, β → C x} (hf : ∀ x : ι, Surjective (f x)) : ⋃ y : β, range (fun x : ι => (f x y).val) = ⋃ x, C x := by
ext x; rw [mem_iUnion, mem_iUnion]; constructor · rintro ⟨y, i, rfl⟩ exact ⟨i, (f i y).2⟩ · rintro ⟨i, hx⟩ cases' hf i ⟨x, hx⟩ with y hy exact ⟨y, i, congr_arg Subtype.val hy⟩
import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.FractionalIdeal.Basic #align_import ring_theory.fractional_ideal from "leanprover-community/mathlib"@"ed90a7d327c3a5caf65a6faf7e8a0d63c4605df7" open IsLocalization Pointwise nonZeroDivisors namespace FractionalIdeal open Set Submodule variable {R : Type*} [CommRing R] {S : Submonoid R} {P : Type*} [CommRing P] variable [Algebra R P] [loc : IsLocalization S P] section variable {P' : Type*} [CommRing P'] [Algebra R P'] [loc' : IsLocalization S P'] variable {P'' : Type*} [CommRing P''] [Algebra R P''] [loc'' : IsLocalization S P''] theorem _root_.IsFractional.map (g : P →ₐ[R] P') {I : Submodule R P} : IsFractional S I → IsFractional S (Submodule.map g.toLinearMap I) | ⟨a, a_nonzero, hI⟩ => ⟨a, a_nonzero, fun b hb => by obtain ⟨b', b'_mem, hb'⟩ := Submodule.mem_map.mp hb rw [AlgHom.toLinearMap_apply] at hb' obtain ⟨x, hx⟩ := hI b' b'_mem use x rw [← g.commutes, hx, g.map_smul, hb']⟩ #align is_fractional.map IsFractional.map def map (g : P →ₐ[R] P') : FractionalIdeal S P → FractionalIdeal S P' := fun I => ⟨Submodule.map g.toLinearMap I, I.isFractional.map g⟩ #align fractional_ideal.map FractionalIdeal.map @[simp, norm_cast] theorem coe_map (g : P →ₐ[R] P') (I : FractionalIdeal S P) : ↑(map g I) = Submodule.map g.toLinearMap I := rfl #align fractional_ideal.coe_map FractionalIdeal.coe_map @[simp] theorem mem_map {I : FractionalIdeal S P} {g : P →ₐ[R] P'} {y : P'} : y ∈ I.map g ↔ ∃ x, x ∈ I ∧ g x = y := Submodule.mem_map #align fractional_ideal.mem_map FractionalIdeal.mem_map variable (I J : FractionalIdeal S P) (g : P →ₐ[R] P') @[simp] theorem map_id : I.map (AlgHom.id _ _) = I := coeToSubmodule_injective (Submodule.map_id (I : Submodule R P)) #align fractional_ideal.map_id FractionalIdeal.map_id @[simp] theorem map_comp (g' : P' →ₐ[R] P'') : I.map (g'.comp g) = (I.map g).map g' := coeToSubmodule_injective (Submodule.map_comp g.toLinearMap g'.toLinearMap I) #align fractional_ideal.map_comp FractionalIdeal.map_comp @[simp, norm_cast] theorem map_coeIdeal (I : Ideal R) : (I : FractionalIdeal S P).map g = I := by ext x simp only [mem_coeIdeal] constructor · rintro ⟨_, ⟨y, hy, rfl⟩, rfl⟩ exact ⟨y, hy, (g.commutes y).symm⟩ · rintro ⟨y, hy, rfl⟩ exact ⟨_, ⟨y, hy, rfl⟩, g.commutes y⟩ #align fractional_ideal.map_coe_ideal FractionalIdeal.map_coeIdeal @[simp] theorem map_one : (1 : FractionalIdeal S P).map g = 1 := map_coeIdeal g ⊤ #align fractional_ideal.map_one FractionalIdeal.map_one @[simp] theorem map_zero : (0 : FractionalIdeal S P).map g = 0 := map_coeIdeal g 0 #align fractional_ideal.map_zero FractionalIdeal.map_zero @[simp] theorem map_add : (I + J).map g = I.map g + J.map g := coeToSubmodule_injective (Submodule.map_sup _ _ _) #align fractional_ideal.map_add FractionalIdeal.map_add @[simp] theorem map_mul : (I * J).map g = I.map g * J.map g := by simp only [mul_def] exact coeToSubmodule_injective (Submodule.map_mul _ _ _) #align fractional_ideal.map_mul FractionalIdeal.map_mul @[simp] theorem map_map_symm (g : P ≃ₐ[R] P') : (I.map (g : P →ₐ[R] P')).map (g.symm : P' →ₐ[R] P) = I := by rw [← map_comp, g.symm_comp, map_id] #align fractional_ideal.map_map_symm FractionalIdeal.map_map_symm @[simp] theorem map_symm_map (I : FractionalIdeal S P') (g : P ≃ₐ[R] P') : (I.map (g.symm : P' →ₐ[R] P)).map (g : P →ₐ[R] P') = I := by rw [← map_comp, g.comp_symm, map_id] #align fractional_ideal.map_symm_map FractionalIdeal.map_symm_map theorem map_mem_map {f : P →ₐ[R] P'} (h : Function.Injective f) {x : P} {I : FractionalIdeal S P} : f x ∈ map f I ↔ x ∈ I := mem_map.trans ⟨fun ⟨_, hx', x'_eq⟩ => h x'_eq ▸ hx', fun h => ⟨x, h, rfl⟩⟩ #align fractional_ideal.map_mem_map FractionalIdeal.map_mem_map theorem map_injective (f : P →ₐ[R] P') (h : Function.Injective f) : Function.Injective (map f : FractionalIdeal S P → FractionalIdeal S P') := fun _ _ hIJ => ext fun _ => (map_mem_map h).symm.trans (hIJ.symm ▸ map_mem_map h) #align fractional_ideal.map_injective FractionalIdeal.map_injective def mapEquiv (g : P ≃ₐ[R] P') : FractionalIdeal S P ≃+* FractionalIdeal S P' where toFun := map g invFun := map g.symm map_add' I J := map_add I J _ map_mul' I J := map_mul I J _ left_inv I := by rw [← map_comp, AlgEquiv.symm_comp, map_id] right_inv I := by rw [← map_comp, AlgEquiv.comp_symm, map_id] #align fractional_ideal.map_equiv FractionalIdeal.mapEquiv @[simp] theorem coeFun_mapEquiv (g : P ≃ₐ[R] P') : (mapEquiv g : FractionalIdeal S P → FractionalIdeal S P') = map g := rfl #align fractional_ideal.coe_fun_map_equiv FractionalIdeal.coeFun_mapEquiv @[simp] theorem mapEquiv_apply (g : P ≃ₐ[R] P') (I : FractionalIdeal S P) : mapEquiv g I = map (↑g) I := rfl #align fractional_ideal.map_equiv_apply FractionalIdeal.mapEquiv_apply @[simp] theorem mapEquiv_symm (g : P ≃ₐ[R] P') : ((mapEquiv g).symm : FractionalIdeal S P' ≃+* _) = mapEquiv g.symm := rfl #align fractional_ideal.map_equiv_symm FractionalIdeal.mapEquiv_symm @[simp] theorem mapEquiv_refl : mapEquiv AlgEquiv.refl = RingEquiv.refl (FractionalIdeal S P) := RingEquiv.ext fun x => by simp #align fractional_ideal.map_equiv_refl FractionalIdeal.mapEquiv_refl theorem isFractional_span_iff {s : Set P} : IsFractional S (span R s) ↔ ∃ a ∈ S, ∀ b : P, b ∈ s → IsInteger R (a • b) := ⟨fun ⟨a, a_mem, h⟩ => ⟨a, a_mem, fun b hb => h b (subset_span hb)⟩, fun ⟨a, a_mem, h⟩ => ⟨a, a_mem, fun b hb => span_induction hb h (by rw [smul_zero] exact isInteger_zero) (fun x y hx hy => by rw [smul_add] exact isInteger_add hx hy) fun s x hx => by rw [smul_comm] exact isInteger_smul hx⟩⟩ #align fractional_ideal.is_fractional_span_iff FractionalIdeal.isFractional_span_iff theorem isFractional_of_fg {I : Submodule R P} (hI : I.FG) : IsFractional S I := by rcases hI with ⟨I, rfl⟩ rcases exist_integer_multiples_of_finset S I with ⟨⟨s, hs1⟩, hs⟩ rw [isFractional_span_iff] exact ⟨s, hs1, hs⟩ #align fractional_ideal.is_fractional_of_fg FractionalIdeal.isFractional_of_fg theorem mem_span_mul_finite_of_mem_mul {I J : FractionalIdeal S P} {x : P} (hx : x ∈ I * J) : ∃ T T' : Finset P, (T : Set P) ⊆ I ∧ (T' : Set P) ⊆ J ∧ x ∈ span R (T * T' : Set P) := Submodule.mem_span_mul_finite_of_mem_mul (by simpa using mem_coe.mpr hx) #align fractional_ideal.mem_span_mul_finite_of_mem_mul FractionalIdeal.mem_span_mul_finite_of_mem_mul variable (S) theorem coeIdeal_fg (inj : Function.Injective (algebraMap R P)) (I : Ideal R) : FG ((I : FractionalIdeal S P) : Submodule R P) ↔ I.FG := coeSubmodule_fg _ inj _ #align fractional_ideal.coe_ideal_fg FractionalIdeal.coeIdeal_fg variable {S} theorem fg_unit (I : (FractionalIdeal S P)ˣ) : FG (I : Submodule R P) := Submodule.fg_unit <| Units.map (coeSubmoduleHom S P).toMonoidHom I #align fractional_ideal.fg_unit FractionalIdeal.fg_unit theorem fg_of_isUnit (I : FractionalIdeal S P) (h : IsUnit I) : FG (I : Submodule R P) := fg_unit h.unit #align fractional_ideal.fg_of_is_unit FractionalIdeal.fg_of_isUnit theorem _root_.Ideal.fg_of_isUnit (inj : Function.Injective (algebraMap R P)) (I : Ideal R) (h : IsUnit (I : FractionalIdeal S P)) : I.FG := by rw [← coeIdeal_fg S inj I] exact FractionalIdeal.fg_of_isUnit I h #align ideal.fg_of_is_unit Ideal.fg_of_isUnit variable (S P P') noncomputable irreducible_def canonicalEquiv : FractionalIdeal S P ≃+* FractionalIdeal S P' := mapEquiv { ringEquivOfRingEquiv P P' (RingEquiv.refl R) (show S.map _ = S by rw [RingEquiv.toMonoidHom_refl, Submonoid.map_id]) with commutes' := fun r => ringEquivOfRingEquiv_eq _ _ } #align fractional_ideal.canonical_equiv FractionalIdeal.canonicalEquiv @[simp]
Mathlib/RingTheory/FractionalIdeal/Operations.lean
238
245
theorem mem_canonicalEquiv_apply {I : FractionalIdeal S P} {x : P'} : x ∈ canonicalEquiv S P P' I ↔ ∃ y ∈ I, IsLocalization.map P' (RingHom.id R) (fun y (hy : y ∈ S) => show RingHom.id R y ∈ S from hy) (y : P) = x := by
rw [canonicalEquiv, mapEquiv_apply, mem_map] exact ⟨fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩, fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩⟩
import Mathlib.Order.Interval.Set.Disjoint import Mathlib.MeasureTheory.Integral.SetIntegral import Mathlib.MeasureTheory.Measure.Lebesgue.Basic #align_import measure_theory.integral.interval_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open scoped Classical open MeasureTheory Set Filter Function open scoped Classical Topology Filter ENNReal Interval NNReal variable {ι 𝕜 E F A : Type*} [NormedAddCommGroup E] def IntervalIntegrable (f : ℝ → E) (μ : Measure ℝ) (a b : ℝ) : Prop := IntegrableOn f (Ioc a b) μ ∧ IntegrableOn f (Ioc b a) μ #align interval_integrable IntervalIntegrable section variable {f : ℝ → E} {a b : ℝ} {μ : Measure ℝ} theorem intervalIntegrable_iff : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ι a b) μ := by rw [uIoc_eq_union, integrableOn_union, IntervalIntegrable] #align interval_integrable_iff intervalIntegrable_iff theorem IntervalIntegrable.def' (h : IntervalIntegrable f μ a b) : IntegrableOn f (Ι a b) μ := intervalIntegrable_iff.mp h #align interval_integrable.def IntervalIntegrable.def' theorem intervalIntegrable_iff_integrableOn_Ioc_of_le (hab : a ≤ b) : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioc a b) μ := by rw [intervalIntegrable_iff, uIoc_of_le hab] #align interval_integrable_iff_integrable_Ioc_of_le intervalIntegrable_iff_integrableOn_Ioc_of_le theorem intervalIntegrable_iff' [NoAtoms μ] : IntervalIntegrable f μ a b ↔ IntegrableOn f (uIcc a b) μ := by rw [intervalIntegrable_iff, ← Icc_min_max, uIoc, integrableOn_Icc_iff_integrableOn_Ioc] #align interval_integrable_iff' intervalIntegrable_iff' theorem intervalIntegrable_iff_integrableOn_Icc_of_le {f : ℝ → E} {a b : ℝ} (hab : a ≤ b) {μ : Measure ℝ} [NoAtoms μ] : IntervalIntegrable f μ a b ↔ IntegrableOn f (Icc a b) μ := by rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioc] #align interval_integrable_iff_integrable_Icc_of_le intervalIntegrable_iff_integrableOn_Icc_of_le theorem intervalIntegrable_iff_integrableOn_Ico_of_le [NoAtoms μ] (hab : a ≤ b) : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ico a b) μ := by rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ico] theorem intervalIntegrable_iff_integrableOn_Ioo_of_le [NoAtoms μ] (hab : a ≤ b) : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioo a b) μ := by rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioo] theorem MeasureTheory.Integrable.intervalIntegrable (hf : Integrable f μ) : IntervalIntegrable f μ a b := ⟨hf.integrableOn, hf.integrableOn⟩ #align measure_theory.integrable.interval_integrable MeasureTheory.Integrable.intervalIntegrable theorem MeasureTheory.IntegrableOn.intervalIntegrable (hf : IntegrableOn f [[a, b]] μ) : IntervalIntegrable f μ a b := ⟨MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc), MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc')⟩ #align measure_theory.integrable_on.interval_integrable MeasureTheory.IntegrableOn.intervalIntegrable theorem intervalIntegrable_const_iff {c : E} : IntervalIntegrable (fun _ => c) μ a b ↔ c = 0 ∨ μ (Ι a b) < ∞ := by simp only [intervalIntegrable_iff, integrableOn_const] #align interval_integrable_const_iff intervalIntegrable_const_iff @[simp] theorem intervalIntegrable_const [IsLocallyFiniteMeasure μ] {c : E} : IntervalIntegrable (fun _ => c) μ a b := intervalIntegrable_const_iff.2 <| Or.inr measure_Ioc_lt_top #align interval_integrable_const intervalIntegrable_const end section variable {μ : Measure ℝ} [IsLocallyFiniteMeasure μ] theorem ContinuousOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : ContinuousOn u (uIcc a b)) : IntervalIntegrable u μ a b := (ContinuousOn.integrableOn_Icc hu).intervalIntegrable #align continuous_on.interval_integrable ContinuousOn.intervalIntegrable theorem ContinuousOn.intervalIntegrable_of_Icc {u : ℝ → E} {a b : ℝ} (h : a ≤ b) (hu : ContinuousOn u (Icc a b)) : IntervalIntegrable u μ a b := ContinuousOn.intervalIntegrable ((uIcc_of_le h).symm ▸ hu) #align continuous_on.interval_integrable_of_Icc ContinuousOn.intervalIntegrable_of_Icc theorem Continuous.intervalIntegrable {u : ℝ → E} (hu : Continuous u) (a b : ℝ) : IntervalIntegrable u μ a b := hu.continuousOn.intervalIntegrable #align continuous.interval_integrable Continuous.intervalIntegrable end section variable {μ : Measure ℝ} [IsLocallyFiniteMeasure μ] [ConditionallyCompleteLinearOrder E] [OrderTopology E] [SecondCountableTopology E] theorem MonotoneOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : MonotoneOn u (uIcc a b)) : IntervalIntegrable u μ a b := by rw [intervalIntegrable_iff] exact (hu.integrableOn_isCompact isCompact_uIcc).mono_set Ioc_subset_Icc_self #align monotone_on.interval_integrable MonotoneOn.intervalIntegrable theorem AntitoneOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : AntitoneOn u (uIcc a b)) : IntervalIntegrable u μ a b := hu.dual_right.intervalIntegrable #align antitone_on.interval_integrable AntitoneOn.intervalIntegrable theorem Monotone.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : Monotone u) : IntervalIntegrable u μ a b := (hu.monotoneOn _).intervalIntegrable #align monotone.interval_integrable Monotone.intervalIntegrable theorem Antitone.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : Antitone u) : IntervalIntegrable u μ a b := (hu.antitoneOn _).intervalIntegrable #align antitone.interval_integrable Antitone.intervalIntegrable end theorem Filter.Tendsto.eventually_intervalIntegrable_ae {f : ℝ → E} {μ : Measure ℝ} {l l' : Filter ℝ} (hfm : StronglyMeasurableAtFilter f l' μ) [TendstoIxxClass Ioc l l'] [IsMeasurablyGenerated l'] (hμ : μ.FiniteAtFilter l') {c : E} (hf : Tendsto f (l' ⊓ ae μ) (𝓝 c)) {u v : ι → ℝ} {lt : Filter ι} (hu : Tendsto u lt l) (hv : Tendsto v lt l) : ∀ᶠ t in lt, IntervalIntegrable f μ (u t) (v t) := have := (hf.integrableAtFilter_ae hfm hμ).eventually ((hu.Ioc hv).eventually this).and <| (hv.Ioc hu).eventually this #align filter.tendsto.eventually_interval_integrable_ae Filter.Tendsto.eventually_intervalIntegrable_ae theorem Filter.Tendsto.eventually_intervalIntegrable {f : ℝ → E} {μ : Measure ℝ} {l l' : Filter ℝ} (hfm : StronglyMeasurableAtFilter f l' μ) [TendstoIxxClass Ioc l l'] [IsMeasurablyGenerated l'] (hμ : μ.FiniteAtFilter l') {c : E} (hf : Tendsto f l' (𝓝 c)) {u v : ι → ℝ} {lt : Filter ι} (hu : Tendsto u lt l) (hv : Tendsto v lt l) : ∀ᶠ t in lt, IntervalIntegrable f μ (u t) (v t) := (hf.mono_left inf_le_left).eventually_intervalIntegrable_ae hfm hμ hu hv #align filter.tendsto.eventually_interval_integrable Filter.Tendsto.eventually_intervalIntegrable variable [CompleteSpace E] [NormedSpace ℝ E] def intervalIntegral (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) : E := (∫ x in Ioc a b, f x ∂μ) - ∫ x in Ioc b a, f x ∂μ #align interval_integral intervalIntegral notation3"∫ "(...)" in "a".."b", "r:60:(scoped f => f)" ∂"μ:70 => intervalIntegral r a b μ notation3"∫ "(...)" in "a".."b", "r:60:(scoped f => intervalIntegral f a b volume) => r namespace intervalIntegral section Basic variable {a b : ℝ} {f g : ℝ → E} {μ : Measure ℝ} @[simp] theorem integral_zero : (∫ _ in a..b, (0 : E) ∂μ) = 0 := by simp [intervalIntegral] #align interval_integral.integral_zero intervalIntegral.integral_zero theorem integral_of_le (h : a ≤ b) : ∫ x in a..b, f x ∂μ = ∫ x in Ioc a b, f x ∂μ := by simp [intervalIntegral, h] #align interval_integral.integral_of_le intervalIntegral.integral_of_le @[simp] theorem integral_same : ∫ x in a..a, f x ∂μ = 0 := sub_self _ #align interval_integral.integral_same intervalIntegral.integral_same theorem integral_symm (a b) : ∫ x in b..a, f x ∂μ = -∫ x in a..b, f x ∂μ := by simp only [intervalIntegral, neg_sub] #align interval_integral.integral_symm intervalIntegral.integral_symm theorem integral_of_ge (h : b ≤ a) : ∫ x in a..b, f x ∂μ = -∫ x in Ioc b a, f x ∂μ := by simp only [integral_symm b, integral_of_le h] #align interval_integral.integral_of_ge intervalIntegral.integral_of_ge theorem intervalIntegral_eq_integral_uIoc (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) : ∫ x in a..b, f x ∂μ = (if a ≤ b then 1 else -1 : ℝ) • ∫ x in Ι a b, f x ∂μ := by split_ifs with h · simp only [integral_of_le h, uIoc_of_le h, one_smul] · simp only [integral_of_ge (not_le.1 h).le, uIoc_of_lt (not_le.1 h), neg_one_smul] #align interval_integral.interval_integral_eq_integral_uIoc intervalIntegral.intervalIntegral_eq_integral_uIoc theorem norm_intervalIntegral_eq (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) : ‖∫ x in a..b, f x ∂μ‖ = ‖∫ x in Ι a b, f x ∂μ‖ := by simp_rw [intervalIntegral_eq_integral_uIoc, norm_smul] split_ifs <;> simp only [norm_neg, norm_one, one_mul] #align interval_integral.norm_interval_integral_eq intervalIntegral.norm_intervalIntegral_eq theorem abs_intervalIntegral_eq (f : ℝ → ℝ) (a b : ℝ) (μ : Measure ℝ) : |∫ x in a..b, f x ∂μ| = |∫ x in Ι a b, f x ∂μ| := norm_intervalIntegral_eq f a b μ #align interval_integral.abs_interval_integral_eq intervalIntegral.abs_intervalIntegral_eq
Mathlib/MeasureTheory/Integral/IntervalIntegral.lean
523
525
theorem integral_cases (f : ℝ → E) (a b) : (∫ x in a..b, f x ∂μ) ∈ ({∫ x in Ι a b, f x ∂μ, -∫ x in Ι a b, f x ∂μ} : Set E) := by
rw [intervalIntegral_eq_integral_uIoc]; split_ifs <;> simp
import Mathlib.Algebra.DualNumber import Mathlib.Algebra.QuaternionBasis import Mathlib.Data.Complex.Module import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation import Mathlib.LinearAlgebra.CliffordAlgebra.Star import Mathlib.LinearAlgebra.QuadraticForm.Prod #align_import linear_algebra.clifford_algebra.equivs from "leanprover-community/mathlib"@"cf7a7252c1989efe5800e0b3cdfeb4228ac6b40e" open CliffordAlgebra namespace CliffordAlgebraRing open scoped ComplexConjugate variable {R : Type*} [CommRing R] @[simp] theorem ι_eq_zero : ι (0 : QuadraticForm R Unit) = 0 := Subsingleton.elim _ _ #align clifford_algebra_ring.ι_eq_zero CliffordAlgebraRing.ι_eq_zero instance : CommRing (CliffordAlgebra (0 : QuadraticForm R Unit)) := { CliffordAlgebra.instRing _ with mul_comm := fun x y => by induction x using CliffordAlgebra.induction with | algebraMap r => apply Algebra.commutes | ι x => simp | add x₁ x₂ hx₁ hx₂ => rw [mul_add, add_mul, hx₁, hx₂] | mul x₁ x₂ hx₁ hx₂ => rw [mul_assoc, hx₂, ← mul_assoc, hx₁, ← mul_assoc] } -- Porting note: Changed `x.reverse` to `reverse (R := R) x`
Mathlib/LinearAlgebra/CliffordAlgebra/Equivs.lean
90
96
theorem reverse_apply (x : CliffordAlgebra (0 : QuadraticForm R Unit)) : reverse (R := R) x = x := by
induction x using CliffordAlgebra.induction with | algebraMap r => exact reverse.commutes _ | ι x => rw [ι_eq_zero, LinearMap.zero_apply, reverse.map_zero] | mul x₁ x₂ hx₁ hx₂ => rw [reverse.map_mul, mul_comm, hx₁, hx₂] | add x₁ x₂ hx₁ hx₂ => rw [reverse.map_add, hx₁, hx₂]
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler namespace ZMod variable (p : ℕ) [Fact p.Prime] theorem euler_criterion_units (x : (ZMod p)ˣ) : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ x ^ (p / 2) = 1 := by by_cases hc : p = 2 · subst hc simp only [eq_iff_true_of_subsingleton, exists_const] · have h₀ := FiniteField.unit_isSquare_iff (by rwa [ringChar_zmod_n]) x have hs : (∃ y : (ZMod p)ˣ, y ^ 2 = x) ↔ IsSquare x := by rw [isSquare_iff_exists_sq x] simp_rw [eq_comm] rw [hs] rwa [card p] at h₀ #align zmod.euler_criterion_units ZMod.euler_criterion_units theorem euler_criterion {a : ZMod p} (ha : a ≠ 0) : IsSquare (a : ZMod p) ↔ a ^ (p / 2) = 1 := by apply (iff_congr _ (by simp [Units.ext_iff])).mp (euler_criterion_units p (Units.mk0 a ha)) simp only [Units.ext_iff, sq, Units.val_mk0, Units.val_mul] constructor · rintro ⟨y, hy⟩; exact ⟨y, hy.symm⟩ · rintro ⟨y, rfl⟩ have hy : y ≠ 0 := by rintro rfl simp [zero_pow, mul_zero, ne_eq, not_true] at ha refine ⟨Units.mk0 y hy, ?_⟩; simp #align zmod.euler_criterion ZMod.euler_criterion
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
74
81
theorem pow_div_two_eq_neg_one_or_one {a : ZMod p} (ha : a ≠ 0) : a ^ (p / 2) = 1 ∨ a ^ (p / 2) = -1 := by
cases' Prime.eq_two_or_odd (@Fact.out p.Prime _) with hp2 hp_odd · subst p; revert a ha; intro a; fin_cases a · tauto · simp rw [← mul_self_eq_one_iff, ← pow_add, ← two_mul, two_mul_odd_div_two hp_odd] exact pow_card_sub_one_eq_one ha
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic import Mathlib.Topology.Order.ProjIcc #align_import analysis.special_functions.trigonometric.inverse from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Topology Filter open Set Filter open Real namespace Real variable {x y : ℝ} -- @[pp_nodot] Porting note: not implemented noncomputable def arcsin : ℝ → ℝ := Subtype.val ∘ IccExtend (neg_le_self zero_le_one) sinOrderIso.symm #align real.arcsin Real.arcsin theorem arcsin_mem_Icc (x : ℝ) : arcsin x ∈ Icc (-(π / 2)) (π / 2) := Subtype.coe_prop _ #align real.arcsin_mem_Icc Real.arcsin_mem_Icc @[simp] theorem range_arcsin : range arcsin = Icc (-(π / 2)) (π / 2) := by rw [arcsin, range_comp Subtype.val] simp [Icc] #align real.range_arcsin Real.range_arcsin theorem arcsin_le_pi_div_two (x : ℝ) : arcsin x ≤ π / 2 := (arcsin_mem_Icc x).2 #align real.arcsin_le_pi_div_two Real.arcsin_le_pi_div_two theorem neg_pi_div_two_le_arcsin (x : ℝ) : -(π / 2) ≤ arcsin x := (arcsin_mem_Icc x).1 #align real.neg_pi_div_two_le_arcsin Real.neg_pi_div_two_le_arcsin theorem arcsin_projIcc (x : ℝ) : arcsin (projIcc (-1) 1 (neg_le_self zero_le_one) x) = arcsin x := by rw [arcsin, Function.comp_apply, IccExtend_val, Function.comp_apply, IccExtend, Function.comp_apply] #align real.arcsin_proj_Icc Real.arcsin_projIcc theorem sin_arcsin' {x : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) : sin (arcsin x) = x := by simpa [arcsin, IccExtend_of_mem _ _ hx, -OrderIso.apply_symm_apply] using Subtype.ext_iff.1 (sinOrderIso.apply_symm_apply ⟨x, hx⟩) #align real.sin_arcsin' Real.sin_arcsin' theorem sin_arcsin {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : sin (arcsin x) = x := sin_arcsin' ⟨hx₁, hx₂⟩ #align real.sin_arcsin Real.sin_arcsin theorem arcsin_sin' {x : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) : arcsin (sin x) = x := injOn_sin (arcsin_mem_Icc _) hx <| by rw [sin_arcsin (neg_one_le_sin _) (sin_le_one _)] #align real.arcsin_sin' Real.arcsin_sin' theorem arcsin_sin {x : ℝ} (hx₁ : -(π / 2) ≤ x) (hx₂ : x ≤ π / 2) : arcsin (sin x) = x := arcsin_sin' ⟨hx₁, hx₂⟩ #align real.arcsin_sin Real.arcsin_sin theorem strictMonoOn_arcsin : StrictMonoOn arcsin (Icc (-1) 1) := (Subtype.strictMono_coe _).comp_strictMonoOn <| sinOrderIso.symm.strictMono.strictMonoOn_IccExtend _ #align real.strict_mono_on_arcsin Real.strictMonoOn_arcsin theorem monotone_arcsin : Monotone arcsin := (Subtype.mono_coe _).comp <| sinOrderIso.symm.monotone.IccExtend _ #align real.monotone_arcsin Real.monotone_arcsin theorem injOn_arcsin : InjOn arcsin (Icc (-1) 1) := strictMonoOn_arcsin.injOn #align real.inj_on_arcsin Real.injOn_arcsin theorem arcsin_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) : arcsin x = arcsin y ↔ x = y := injOn_arcsin.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩ #align real.arcsin_inj Real.arcsin_inj @[continuity] theorem continuous_arcsin : Continuous arcsin := continuous_subtype_val.comp sinOrderIso.symm.continuous.Icc_extend' #align real.continuous_arcsin Real.continuous_arcsin theorem continuousAt_arcsin {x : ℝ} : ContinuousAt arcsin x := continuous_arcsin.continuousAt #align real.continuous_at_arcsin Real.continuousAt_arcsin theorem arcsin_eq_of_sin_eq {x y : ℝ} (h₁ : sin x = y) (h₂ : x ∈ Icc (-(π / 2)) (π / 2)) : arcsin y = x := by subst y exact injOn_sin (arcsin_mem_Icc _) h₂ (sin_arcsin' (sin_mem_Icc x)) #align real.arcsin_eq_of_sin_eq Real.arcsin_eq_of_sin_eq @[simp] theorem arcsin_zero : arcsin 0 = 0 := arcsin_eq_of_sin_eq sin_zero ⟨neg_nonpos.2 pi_div_two_pos.le, pi_div_two_pos.le⟩ #align real.arcsin_zero Real.arcsin_zero @[simp] theorem arcsin_one : arcsin 1 = π / 2 := arcsin_eq_of_sin_eq sin_pi_div_two <| right_mem_Icc.2 (neg_le_self pi_div_two_pos.le) #align real.arcsin_one Real.arcsin_one theorem arcsin_of_one_le {x : ℝ} (hx : 1 ≤ x) : arcsin x = π / 2 := by rw [← arcsin_projIcc, projIcc_of_right_le _ hx, Subtype.coe_mk, arcsin_one] #align real.arcsin_of_one_le Real.arcsin_of_one_le theorem arcsin_neg_one : arcsin (-1) = -(π / 2) := arcsin_eq_of_sin_eq (by rw [sin_neg, sin_pi_div_two]) <| left_mem_Icc.2 (neg_le_self pi_div_two_pos.le) #align real.arcsin_neg_one Real.arcsin_neg_one theorem arcsin_of_le_neg_one {x : ℝ} (hx : x ≤ -1) : arcsin x = -(π / 2) := by rw [← arcsin_projIcc, projIcc_of_le_left _ hx, Subtype.coe_mk, arcsin_neg_one] #align real.arcsin_of_le_neg_one Real.arcsin_of_le_neg_one @[simp] theorem arcsin_neg (x : ℝ) : arcsin (-x) = -arcsin x := by rcases le_total x (-1) with hx₁ | hx₁ · rw [arcsin_of_le_neg_one hx₁, neg_neg, arcsin_of_one_le (le_neg.2 hx₁)] rcases le_total 1 x with hx₂ | hx₂ · rw [arcsin_of_one_le hx₂, arcsin_of_le_neg_one (neg_le_neg hx₂)] refine arcsin_eq_of_sin_eq ?_ ?_ · rw [sin_neg, sin_arcsin hx₁ hx₂] · exact ⟨neg_le_neg (arcsin_le_pi_div_two _), neg_le.2 (neg_pi_div_two_le_arcsin _)⟩ #align real.arcsin_neg Real.arcsin_neg theorem arcsin_le_iff_le_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) : arcsin x ≤ y ↔ x ≤ sin y := by rw [← arcsin_sin' hy, strictMonoOn_arcsin.le_iff_le hx (sin_mem_Icc _), arcsin_sin' hy] #align real.arcsin_le_iff_le_sin Real.arcsin_le_iff_le_sin theorem arcsin_le_iff_le_sin' {x y : ℝ} (hy : y ∈ Ico (-(π / 2)) (π / 2)) : arcsin x ≤ y ↔ x ≤ sin y := by rcases le_total x (-1) with hx₁ | hx₁ · simp [arcsin_of_le_neg_one hx₁, hy.1, hx₁.trans (neg_one_le_sin _)] cases' lt_or_le 1 x with hx₂ hx₂ · simp [arcsin_of_one_le hx₂.le, hy.2.not_le, (sin_le_one y).trans_lt hx₂] exact arcsin_le_iff_le_sin ⟨hx₁, hx₂⟩ (mem_Icc_of_Ico hy) #align real.arcsin_le_iff_le_sin' Real.arcsin_le_iff_le_sin' theorem le_arcsin_iff_sin_le {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) : x ≤ arcsin y ↔ sin x ≤ y := by rw [← neg_le_neg_iff, ← arcsin_neg, arcsin_le_iff_le_sin ⟨neg_le_neg hy.2, neg_le.2 hy.1⟩ ⟨neg_le_neg hx.2, neg_le.2 hx.1⟩, sin_neg, neg_le_neg_iff] #align real.le_arcsin_iff_sin_le Real.le_arcsin_iff_sin_le theorem le_arcsin_iff_sin_le' {x y : ℝ} (hx : x ∈ Ioc (-(π / 2)) (π / 2)) : x ≤ arcsin y ↔ sin x ≤ y := by rw [← neg_le_neg_iff, ← arcsin_neg, arcsin_le_iff_le_sin' ⟨neg_le_neg hx.2, neg_lt.2 hx.1⟩, sin_neg, neg_le_neg_iff] #align real.le_arcsin_iff_sin_le' Real.le_arcsin_iff_sin_le' theorem arcsin_lt_iff_lt_sin {x y : ℝ} (hx : x ∈ Icc (-1 : ℝ) 1) (hy : y ∈ Icc (-(π / 2)) (π / 2)) : arcsin x < y ↔ x < sin y := not_le.symm.trans <| (not_congr <| le_arcsin_iff_sin_le hy hx).trans not_le #align real.arcsin_lt_iff_lt_sin Real.arcsin_lt_iff_lt_sin theorem arcsin_lt_iff_lt_sin' {x y : ℝ} (hy : y ∈ Ioc (-(π / 2)) (π / 2)) : arcsin x < y ↔ x < sin y := not_le.symm.trans <| (not_congr <| le_arcsin_iff_sin_le' hy).trans not_le #align real.arcsin_lt_iff_lt_sin' Real.arcsin_lt_iff_lt_sin' theorem lt_arcsin_iff_sin_lt {x y : ℝ} (hx : x ∈ Icc (-(π / 2)) (π / 2)) (hy : y ∈ Icc (-1 : ℝ) 1) : x < arcsin y ↔ sin x < y := not_le.symm.trans <| (not_congr <| arcsin_le_iff_le_sin hy hx).trans not_le #align real.lt_arcsin_iff_sin_lt Real.lt_arcsin_iff_sin_lt theorem lt_arcsin_iff_sin_lt' {x y : ℝ} (hx : x ∈ Ico (-(π / 2)) (π / 2)) : x < arcsin y ↔ sin x < y := not_le.symm.trans <| (not_congr <| arcsin_le_iff_le_sin' hx).trans not_le #align real.lt_arcsin_iff_sin_lt' Real.lt_arcsin_iff_sin_lt' theorem arcsin_eq_iff_eq_sin {x y : ℝ} (hy : y ∈ Ioo (-(π / 2)) (π / 2)) : arcsin x = y ↔ x = sin y := by simp only [le_antisymm_iff, arcsin_le_iff_le_sin' (mem_Ico_of_Ioo hy), le_arcsin_iff_sin_le' (mem_Ioc_of_Ioo hy)] #align real.arcsin_eq_iff_eq_sin Real.arcsin_eq_iff_eq_sin @[simp] theorem arcsin_nonneg {x : ℝ} : 0 ≤ arcsin x ↔ 0 ≤ x := (le_arcsin_iff_sin_le' ⟨neg_lt_zero.2 pi_div_two_pos, pi_div_two_pos.le⟩).trans <| by rw [sin_zero] #align real.arcsin_nonneg Real.arcsin_nonneg @[simp] theorem arcsin_nonpos {x : ℝ} : arcsin x ≤ 0 ↔ x ≤ 0 := neg_nonneg.symm.trans <| arcsin_neg x ▸ arcsin_nonneg.trans neg_nonneg #align real.arcsin_nonpos Real.arcsin_nonpos @[simp] theorem arcsin_eq_zero_iff {x : ℝ} : arcsin x = 0 ↔ x = 0 := by simp [le_antisymm_iff] #align real.arcsin_eq_zero_iff Real.arcsin_eq_zero_iff @[simp] theorem zero_eq_arcsin_iff {x} : 0 = arcsin x ↔ x = 0 := eq_comm.trans arcsin_eq_zero_iff #align real.zero_eq_arcsin_iff Real.zero_eq_arcsin_iff @[simp] theorem arcsin_pos {x : ℝ} : 0 < arcsin x ↔ 0 < x := lt_iff_lt_of_le_iff_le arcsin_nonpos #align real.arcsin_pos Real.arcsin_pos @[simp] theorem arcsin_lt_zero {x : ℝ} : arcsin x < 0 ↔ x < 0 := lt_iff_lt_of_le_iff_le arcsin_nonneg #align real.arcsin_lt_zero Real.arcsin_lt_zero @[simp] theorem arcsin_lt_pi_div_two {x : ℝ} : arcsin x < π / 2 ↔ x < 1 := (arcsin_lt_iff_lt_sin' (right_mem_Ioc.2 <| neg_lt_self pi_div_two_pos)).trans <| by rw [sin_pi_div_two] #align real.arcsin_lt_pi_div_two Real.arcsin_lt_pi_div_two @[simp] theorem neg_pi_div_two_lt_arcsin {x : ℝ} : -(π / 2) < arcsin x ↔ -1 < x := (lt_arcsin_iff_sin_lt' <| left_mem_Ico.2 <| neg_lt_self pi_div_two_pos).trans <| by rw [sin_neg, sin_pi_div_two] #align real.neg_pi_div_two_lt_arcsin Real.neg_pi_div_two_lt_arcsin @[simp] theorem arcsin_eq_pi_div_two {x : ℝ} : arcsin x = π / 2 ↔ 1 ≤ x := ⟨fun h => not_lt.1 fun h' => (arcsin_lt_pi_div_two.2 h').ne h, arcsin_of_one_le⟩ #align real.arcsin_eq_pi_div_two Real.arcsin_eq_pi_div_two @[simp] theorem pi_div_two_eq_arcsin {x} : π / 2 = arcsin x ↔ 1 ≤ x := eq_comm.trans arcsin_eq_pi_div_two #align real.pi_div_two_eq_arcsin Real.pi_div_two_eq_arcsin @[simp] theorem pi_div_two_le_arcsin {x} : π / 2 ≤ arcsin x ↔ 1 ≤ x := (arcsin_le_pi_div_two x).le_iff_eq.trans pi_div_two_eq_arcsin #align real.pi_div_two_le_arcsin Real.pi_div_two_le_arcsin @[simp] theorem arcsin_eq_neg_pi_div_two {x : ℝ} : arcsin x = -(π / 2) ↔ x ≤ -1 := ⟨fun h => not_lt.1 fun h' => (neg_pi_div_two_lt_arcsin.2 h').ne' h, arcsin_of_le_neg_one⟩ #align real.arcsin_eq_neg_pi_div_two Real.arcsin_eq_neg_pi_div_two @[simp] theorem neg_pi_div_two_eq_arcsin {x} : -(π / 2) = arcsin x ↔ x ≤ -1 := eq_comm.trans arcsin_eq_neg_pi_div_two #align real.neg_pi_div_two_eq_arcsin Real.neg_pi_div_two_eq_arcsin @[simp] theorem arcsin_le_neg_pi_div_two {x} : arcsin x ≤ -(π / 2) ↔ x ≤ -1 := (neg_pi_div_two_le_arcsin x).le_iff_eq.trans arcsin_eq_neg_pi_div_two #align real.arcsin_le_neg_pi_div_two Real.arcsin_le_neg_pi_div_two @[simp] theorem pi_div_four_le_arcsin {x} : π / 4 ≤ arcsin x ↔ √2 / 2 ≤ x := by rw [← sin_pi_div_four, le_arcsin_iff_sin_le'] have := pi_pos constructor <;> linarith #align real.pi_div_four_le_arcsin Real.pi_div_four_le_arcsin theorem mapsTo_sin_Ioo : MapsTo sin (Ioo (-(π / 2)) (π / 2)) (Ioo (-1) 1) := fun x h => by rwa [mem_Ioo, ← arcsin_lt_pi_div_two, ← neg_pi_div_two_lt_arcsin, arcsin_sin h.1.le h.2.le] #align real.maps_to_sin_Ioo Real.mapsTo_sin_Ioo @[simp] def sinPartialHomeomorph : PartialHomeomorph ℝ ℝ where toFun := sin invFun := arcsin source := Ioo (-(π / 2)) (π / 2) target := Ioo (-1) 1 map_source' := mapsTo_sin_Ioo map_target' _ hy := ⟨neg_pi_div_two_lt_arcsin.2 hy.1, arcsin_lt_pi_div_two.2 hy.2⟩ left_inv' _ hx := arcsin_sin hx.1.le hx.2.le right_inv' _ hy := sin_arcsin hy.1.le hy.2.le open_source := isOpen_Ioo open_target := isOpen_Ioo continuousOn_toFun := continuous_sin.continuousOn continuousOn_invFun := continuous_arcsin.continuousOn #align real.sin_local_homeomorph Real.sinPartialHomeomorph theorem cos_arcsin_nonneg (x : ℝ) : 0 ≤ cos (arcsin x) := cos_nonneg_of_mem_Icc ⟨neg_pi_div_two_le_arcsin _, arcsin_le_pi_div_two _⟩ #align real.cos_arcsin_nonneg Real.cos_arcsin_nonneg -- The junk values for `arcsin` and `sqrt` make this true even outside `[-1, 1]`. theorem cos_arcsin (x : ℝ) : cos (arcsin x) = √(1 - x ^ 2) := by by_cases hx₁ : -1 ≤ x; swap · rw [not_le] at hx₁ rw [arcsin_of_le_neg_one hx₁.le, cos_neg, cos_pi_div_two, sqrt_eq_zero_of_nonpos] nlinarith by_cases hx₂ : x ≤ 1; swap · rw [not_le] at hx₂ rw [arcsin_of_one_le hx₂.le, cos_pi_div_two, sqrt_eq_zero_of_nonpos] nlinarith have : sin (arcsin x) ^ 2 + cos (arcsin x) ^ 2 = 1 := sin_sq_add_cos_sq (arcsin x) rw [← eq_sub_iff_add_eq', ← sqrt_inj (sq_nonneg _) (sub_nonneg.2 (sin_sq_le_one (arcsin x))), sq, sqrt_mul_self (cos_arcsin_nonneg _)] at this rw [this, sin_arcsin hx₁ hx₂] #align real.cos_arcsin Real.cos_arcsin -- The junk values for `arcsin` and `sqrt` make this true even outside `[-1, 1]`. theorem tan_arcsin (x : ℝ) : tan (arcsin x) = x / √(1 - x ^ 2) := by rw [tan_eq_sin_div_cos, cos_arcsin] by_cases hx₁ : -1 ≤ x; swap · have h : √(1 - x ^ 2) = 0 := sqrt_eq_zero_of_nonpos (by nlinarith) rw [h] simp by_cases hx₂ : x ≤ 1; swap · have h : √(1 - x ^ 2) = 0 := sqrt_eq_zero_of_nonpos (by nlinarith) rw [h] simp rw [sin_arcsin hx₁ hx₂] #align real.tan_arcsin Real.tan_arcsin -- @[pp_nodot] Porting note: not implemented noncomputable def arccos (x : ℝ) : ℝ := π / 2 - arcsin x #align real.arccos Real.arccos theorem arccos_eq_pi_div_two_sub_arcsin (x : ℝ) : arccos x = π / 2 - arcsin x := rfl #align real.arccos_eq_pi_div_two_sub_arcsin Real.arccos_eq_pi_div_two_sub_arcsin theorem arcsin_eq_pi_div_two_sub_arccos (x : ℝ) : arcsin x = π / 2 - arccos x := by simp [arccos] #align real.arcsin_eq_pi_div_two_sub_arccos Real.arcsin_eq_pi_div_two_sub_arccos theorem arccos_le_pi (x : ℝ) : arccos x ≤ π := by unfold arccos; linarith [neg_pi_div_two_le_arcsin x] #align real.arccos_le_pi Real.arccos_le_pi theorem arccos_nonneg (x : ℝ) : 0 ≤ arccos x := by unfold arccos; linarith [arcsin_le_pi_div_two x] #align real.arccos_nonneg Real.arccos_nonneg @[simp] theorem arccos_pos {x : ℝ} : 0 < arccos x ↔ x < 1 := by simp [arccos] #align real.arccos_pos Real.arccos_pos theorem cos_arccos {x : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) : cos (arccos x) = x := by rw [arccos, cos_pi_div_two_sub, sin_arcsin hx₁ hx₂] #align real.cos_arccos Real.cos_arccos theorem arccos_cos {x : ℝ} (hx₁ : 0 ≤ x) (hx₂ : x ≤ π) : arccos (cos x) = x := by rw [arccos, ← sin_pi_div_two_sub, arcsin_sin] <;> simp [sub_eq_add_neg] <;> linarith #align real.arccos_cos Real.arccos_cos lemma arccos_eq_of_eq_cos (hy₀ : 0 ≤ y) (hy₁ : y ≤ π) (hxy : x = cos y) : arccos x = y := by rw [hxy, arccos_cos hy₀ hy₁] theorem strictAntiOn_arccos : StrictAntiOn arccos (Icc (-1) 1) := fun _ hx _ hy h => sub_lt_sub_left (strictMonoOn_arcsin hx hy h) _ #align real.strict_anti_on_arccos Real.strictAntiOn_arccos theorem arccos_injOn : InjOn arccos (Icc (-1) 1) := strictAntiOn_arccos.injOn #align real.arccos_inj_on Real.arccos_injOn theorem arccos_inj {x y : ℝ} (hx₁ : -1 ≤ x) (hx₂ : x ≤ 1) (hy₁ : -1 ≤ y) (hy₂ : y ≤ 1) : arccos x = arccos y ↔ x = y := arccos_injOn.eq_iff ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩ #align real.arccos_inj Real.arccos_inj @[simp] theorem arccos_zero : arccos 0 = π / 2 := by simp [arccos] #align real.arccos_zero Real.arccos_zero @[simp] theorem arccos_one : arccos 1 = 0 := by simp [arccos] #align real.arccos_one Real.arccos_one @[simp] theorem arccos_neg_one : arccos (-1) = π := by simp [arccos, add_halves] #align real.arccos_neg_one Real.arccos_neg_one @[simp] theorem arccos_eq_zero {x} : arccos x = 0 ↔ 1 ≤ x := by simp [arccos, sub_eq_zero] #align real.arccos_eq_zero Real.arccos_eq_zero @[simp] theorem arccos_eq_pi_div_two {x} : arccos x = π / 2 ↔ x = 0 := by simp [arccos] #align real.arccos_eq_pi_div_two Real.arccos_eq_pi_div_two @[simp] theorem arccos_eq_pi {x} : arccos x = π ↔ x ≤ -1 := by rw [arccos, sub_eq_iff_eq_add, ← sub_eq_iff_eq_add', div_two_sub_self, neg_pi_div_two_eq_arcsin] #align real.arccos_eq_pi Real.arccos_eq_pi theorem arccos_neg (x : ℝ) : arccos (-x) = π - arccos x := by rw [← add_halves π, arccos, arcsin_neg, arccos, add_sub_assoc, sub_sub_self, sub_neg_eq_add] #align real.arccos_neg Real.arccos_neg theorem arccos_of_one_le {x : ℝ} (hx : 1 ≤ x) : arccos x = 0 := by rw [arccos, arcsin_of_one_le hx, sub_self] #align real.arccos_of_one_le Real.arccos_of_one_le theorem arccos_of_le_neg_one {x : ℝ} (hx : x ≤ -1) : arccos x = π := by rw [arccos, arcsin_of_le_neg_one hx, sub_neg_eq_add, add_halves'] #align real.arccos_of_le_neg_one Real.arccos_of_le_neg_one -- The junk values for `arccos` and `sqrt` make this true even outside `[-1, 1]`. theorem sin_arccos (x : ℝ) : sin (arccos x) = √(1 - x ^ 2) := by by_cases hx₁ : -1 ≤ x; swap · rw [not_le] at hx₁ rw [arccos_of_le_neg_one hx₁.le, sin_pi, sqrt_eq_zero_of_nonpos] nlinarith by_cases hx₂ : x ≤ 1; swap · rw [not_le] at hx₂ rw [arccos_of_one_le hx₂.le, sin_zero, sqrt_eq_zero_of_nonpos] nlinarith rw [arccos_eq_pi_div_two_sub_arcsin, sin_pi_div_two_sub, cos_arcsin] #align real.sin_arccos Real.sin_arccos @[simp] theorem arccos_le_pi_div_two {x} : arccos x ≤ π / 2 ↔ 0 ≤ x := by simp [arccos] #align real.arccos_le_pi_div_two Real.arccos_le_pi_div_two @[simp] theorem arccos_lt_pi_div_two {x : ℝ} : arccos x < π / 2 ↔ 0 < x := by simp [arccos] #align real.arccos_lt_pi_div_two Real.arccos_lt_pi_div_two @[simp] theorem arccos_le_pi_div_four {x} : arccos x ≤ π / 4 ↔ √2 / 2 ≤ x := by rw [arccos, ← pi_div_four_le_arcsin] constructor <;> · intro linarith #align real.arccos_le_pi_div_four Real.arccos_le_pi_div_four @[continuity] theorem continuous_arccos : Continuous arccos := continuous_const.sub continuous_arcsin #align real.continuous_arccos Real.continuous_arccos -- The junk values for `arccos` and `sqrt` make this true even outside `[-1, 1]`.
Mathlib/Analysis/SpecialFunctions/Trigonometric/Inverse.lean
457
458
theorem tan_arccos (x : ℝ) : tan (arccos x) = √(1 - x ^ 2) / x := by
rw [arccos, tan_pi_div_two_sub, tan_arcsin, inv_div]
import Mathlib.Algebra.BigOperators.Ring.List import Mathlib.Data.Nat.Prime import Mathlib.Data.List.Prime import Mathlib.Data.List.Sort import Mathlib.Data.List.Chain #align_import data.nat.factors from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab" open Bool Subtype open Nat namespace Nat attribute [instance 0] instBEqNat def factors : ℕ → List ℕ | 0 => [] | 1 => [] | k + 2 => let m := minFac (k + 2) m :: factors ((k + 2) / m) decreasing_by show (k + 2) / m < (k + 2); exact factors_lemma #align nat.factors Nat.factors @[simp] theorem factors_zero : factors 0 = [] := by rw [factors] #align nat.factors_zero Nat.factors_zero @[simp] theorem factors_one : factors 1 = [] := by rw [factors] #align nat.factors_one Nat.factors_one @[simp] theorem factors_two : factors 2 = [2] := by simp [factors] theorem prime_of_mem_factors {n : ℕ} : ∀ {p : ℕ}, (h : p ∈ factors n) → Prime p := by match n with | 0 => simp | 1 => simp | k + 2 => intro p h let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma have h₁ : p = m ∨ p ∈ factors ((k + 2) / m) := List.mem_cons.1 (by rwa [factors] at h) exact Or.casesOn h₁ (fun h₂ => h₂.symm ▸ minFac_prime (by simp)) prime_of_mem_factors #align nat.prime_of_mem_factors Nat.prime_of_mem_factors theorem pos_of_mem_factors {n p : ℕ} (h : p ∈ factors n) : 0 < p := Prime.pos (prime_of_mem_factors h) #align nat.pos_of_mem_factors Nat.pos_of_mem_factors theorem prod_factors : ∀ {n}, n ≠ 0 → List.prod (factors n) = n | 0 => by simp | 1 => by simp | k + 2 => fun _ => let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma show (factors (k + 2)).prod = (k + 2) by have h₁ : (k + 2) / m ≠ 0 := fun h => by have : (k + 2) = 0 * m := (Nat.div_eq_iff_eq_mul_left (minFac_pos _) (minFac_dvd _)).1 h rw [zero_mul] at this; exact (show k + 2 ≠ 0 by simp) this rw [factors, List.prod_cons, prod_factors h₁, Nat.mul_div_cancel' (minFac_dvd _)] #align nat.prod_factors Nat.prod_factors theorem factors_prime {p : ℕ} (hp : Nat.Prime p) : p.factors = [p] := by have : p = p - 2 + 2 := (tsub_eq_iff_eq_add_of_le hp.two_le).mp rfl rw [this, Nat.factors] simp only [Eq.symm this] have : Nat.minFac p = p := (Nat.prime_def_minFac.mp hp).2 simp only [this, Nat.factors, Nat.div_self (Nat.Prime.pos hp)] #align nat.factors_prime Nat.factors_prime theorem factors_chain {n : ℕ} : ∀ {a}, (∀ p, Prime p → p ∣ n → a ≤ p) → List.Chain (· ≤ ·) a (factors n) := by match n with | 0 => simp | 1 => simp | k + 2 => intro a h let m := minFac (k + 2) have : (k + 2) / m < (k + 2) := factors_lemma rw [factors] refine List.Chain.cons ((le_minFac.2 h).resolve_left (by simp)) (factors_chain ?_) exact fun p pp d => minFac_le_of_dvd pp.two_le (d.trans <| div_dvd_of_dvd <| minFac_dvd _) #align nat.factors_chain Nat.factors_chain theorem factors_chain_2 (n) : List.Chain (· ≤ ·) 2 (factors n) := factors_chain fun _ pp _ => pp.two_le #align nat.factors_chain_2 Nat.factors_chain_2 theorem factors_chain' (n) : List.Chain' (· ≤ ·) (factors n) := @List.Chain'.tail _ _ (_ :: _) (factors_chain_2 _) #align nat.factors_chain' Nat.factors_chain' theorem factors_sorted (n : ℕ) : List.Sorted (· ≤ ·) (factors n) := List.chain'_iff_pairwise.1 (factors_chain' _) #align nat.factors_sorted Nat.factors_sorted theorem factors_add_two (n : ℕ) : factors (n + 2) = minFac (n + 2) :: factors ((n + 2) / minFac (n + 2)) := by rw [factors] #align nat.factors_add_two Nat.factors_add_two @[simp] theorem factors_eq_nil (n : ℕ) : n.factors = [] ↔ n = 0 ∨ n = 1 := by constructor <;> intro h · rcases n with (_ | _ | n) · exact Or.inl rfl · exact Or.inr rfl · rw [factors] at h injection h · rcases h with (rfl | rfl) · exact factors_zero · exact factors_one #align nat.factors_eq_nil Nat.factors_eq_nil open scoped List in theorem eq_of_perm_factors {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) (h : a.factors ~ b.factors) : a = b := by simpa [prod_factors ha, prod_factors hb] using List.Perm.prod_eq h #align nat.eq_of_perm_factors Nat.eq_of_perm_factors section open List theorem mem_factors_iff_dvd {n p : ℕ} (hn : n ≠ 0) (hp : Prime p) : p ∈ factors n ↔ p ∣ n := ⟨fun h => prod_factors hn ▸ List.dvd_prod h, fun h => mem_list_primes_of_dvd_prod (prime_iff.mp hp) (fun _ h => prime_iff.mp (prime_of_mem_factors h)) ((prod_factors hn).symm ▸ h)⟩ #align nat.mem_factors_iff_dvd Nat.mem_factors_iff_dvd theorem dvd_of_mem_factors {n p : ℕ} (h : p ∈ n.factors) : p ∣ n := by rcases n.eq_zero_or_pos with (rfl | hn) · exact dvd_zero p · rwa [← mem_factors_iff_dvd hn.ne' (prime_of_mem_factors h)] #align nat.dvd_of_mem_factors Nat.dvd_of_mem_factors theorem mem_factors {n p} (hn : n ≠ 0) : p ∈ factors n ↔ Prime p ∧ p ∣ n := ⟨fun h => ⟨prime_of_mem_factors h, dvd_of_mem_factors h⟩, fun ⟨hprime, hdvd⟩ => (mem_factors_iff_dvd hn hprime).mpr hdvd⟩ #align nat.mem_factors Nat.mem_factors @[simp] lemma mem_factors' {n p} : p ∈ n.factors ↔ p.Prime ∧ p ∣ n ∧ n ≠ 0 := by cases n <;> simp [mem_factors, *] theorem le_of_mem_factors {n p : ℕ} (h : p ∈ n.factors) : p ≤ n := by rcases n.eq_zero_or_pos with (rfl | hn) · rw [factors_zero] at h cases h · exact le_of_dvd hn (dvd_of_mem_factors h) #align nat.le_of_mem_factors Nat.le_of_mem_factors theorem factors_unique {n : ℕ} {l : List ℕ} (h₁ : prod l = n) (h₂ : ∀ p ∈ l, Prime p) : l ~ factors n := by refine perm_of_prod_eq_prod ?_ ?_ ?_ · rw [h₁] refine (prod_factors ?_).symm rintro rfl rw [prod_eq_zero_iff] at h₁ exact Prime.ne_zero (h₂ 0 h₁) rfl · simp_rw [← prime_iff] exact h₂ · simp_rw [← prime_iff] exact fun p => prime_of_mem_factors #align nat.factors_unique Nat.factors_unique theorem Prime.factors_pow {p : ℕ} (hp : p.Prime) (n : ℕ) : (p ^ n).factors = List.replicate n p := by symm rw [← List.replicate_perm] apply Nat.factors_unique (List.prod_replicate n p) intro q hq rwa [eq_of_mem_replicate hq] #align nat.prime.factors_pow Nat.Prime.factors_pow theorem eq_prime_pow_of_unique_prime_dvd {n p : ℕ} (hpos : n ≠ 0) (h : ∀ {d}, Nat.Prime d → d ∣ n → d = p) : n = p ^ n.factors.length := by set k := n.factors.length rw [← prod_factors hpos, ← prod_replicate k p, eq_replicate_of_mem fun d hd => h (prime_of_mem_factors hd) (dvd_of_mem_factors hd)] #align nat.eq_prime_pow_of_unique_prime_dvd Nat.eq_prime_pow_of_unique_prime_dvd theorem perm_factors_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) : (a * b).factors ~ a.factors ++ b.factors := by refine (factors_unique ?_ ?_).symm · rw [List.prod_append, prod_factors ha, prod_factors hb] · intro p hp rw [List.mem_append] at hp cases' hp with hp' hp' <;> exact prime_of_mem_factors hp' #align nat.perm_factors_mul Nat.perm_factors_mul theorem perm_factors_mul_of_coprime {a b : ℕ} (hab : Coprime a b) : (a * b).factors ~ a.factors ++ b.factors := by rcases a.eq_zero_or_pos with (rfl | ha) · simp [(coprime_zero_left _).mp hab] rcases b.eq_zero_or_pos with (rfl | hb) · simp [(coprime_zero_right _).mp hab] exact perm_factors_mul ha.ne' hb.ne' #align nat.perm_factors_mul_of_coprime Nat.perm_factors_mul_of_coprime theorem factors_sublist_right {n k : ℕ} (h : k ≠ 0) : n.factors <+ (n * k).factors := by cases' n with hn · simp [zero_mul] apply sublist_of_subperm_of_sorted _ (factors_sorted _) (factors_sorted _) simp only [(perm_factors_mul (Nat.succ_ne_zero _) h).subperm_left] exact (sublist_append_left _ _).subperm #align nat.factors_sublist_right Nat.factors_sublist_right theorem factors_sublist_of_dvd {n k : ℕ} (h : n ∣ k) (h' : k ≠ 0) : n.factors <+ k.factors := by obtain ⟨a, rfl⟩ := h exact factors_sublist_right (right_ne_zero_of_mul h') #align nat.factors_sublist_of_dvd Nat.factors_sublist_of_dvd theorem factors_subset_right {n k : ℕ} (h : k ≠ 0) : n.factors ⊆ (n * k).factors := (factors_sublist_right h).subset #align nat.factors_subset_right Nat.factors_subset_right theorem factors_subset_of_dvd {n k : ℕ} (h : n ∣ k) (h' : k ≠ 0) : n.factors ⊆ k.factors := (factors_sublist_of_dvd h h').subset #align nat.factors_subset_of_dvd Nat.factors_subset_of_dvd theorem dvd_of_factors_subperm {a b : ℕ} (ha : a ≠ 0) (h : a.factors <+~ b.factors) : a ∣ b := by rcases b.eq_zero_or_pos with (rfl | hb) · exact dvd_zero _ rcases a with (_ | _ | a) · exact (ha rfl).elim · exact one_dvd _ -- Porting note: previous proof --use (b.factors.diff a.succ.succ.factors).prod use (@List.diff _ instBEqOfDecidableEq b.factors a.succ.succ.factors).prod nth_rw 1 [← Nat.prod_factors ha] rw [← List.prod_append, List.Perm.prod_eq <| List.subperm_append_diff_self_of_count_le <| List.subperm_ext_iff.mp h, Nat.prod_factors hb.ne'] #align nat.dvd_of_factors_subperm Nat.dvd_of_factors_subperm theorem replicate_subperm_factors_iff {a b n : ℕ} (ha : Prime a) (hb : b ≠ 0) : replicate n a <+~ factors b ↔ a ^ n ∣ b := by induction n generalizing b with | zero => simp | succ n ih => constructor · rw [List.subperm_iff] rintro ⟨u, hu1, hu2⟩ rw [← Nat.prod_factors hb, ← hu1.prod_eq, ← prod_replicate] exact hu2.prod_dvd_prod · rintro ⟨c, rfl⟩ rw [Ne, pow_succ', mul_assoc, mul_eq_zero, _root_.not_or] at hb rw [pow_succ', mul_assoc, replicate_succ, (Nat.perm_factors_mul hb.1 hb.2).subperm_left, factors_prime ha, singleton_append, subperm_cons, ih hb.2] exact dvd_mul_right _ _ end theorem mem_factors_mul {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) {p : ℕ} : p ∈ (a * b).factors ↔ p ∈ a.factors ∨ p ∈ b.factors := by rw [mem_factors (mul_ne_zero ha hb), mem_factors ha, mem_factors hb, ← and_or_left] simpa only [and_congr_right_iff] using Prime.dvd_mul #align nat.mem_factors_mul Nat.mem_factors_mul theorem coprime_factors_disjoint {a b : ℕ} (hab : a.Coprime b) : List.Disjoint a.factors b.factors := by intro q hqa hqb apply not_prime_one rw [← eq_one_of_dvd_coprimes hab (dvd_of_mem_factors hqa) (dvd_of_mem_factors hqb)] exact prime_of_mem_factors hqa #align nat.coprime_factors_disjoint Nat.coprime_factors_disjoint
Mathlib/Data/Nat/Factors.lean
293
299
theorem mem_factors_mul_of_coprime {a b : ℕ} (hab : Coprime a b) (p : ℕ) : p ∈ (a * b).factors ↔ p ∈ a.factors ∪ b.factors := by
rcases a.eq_zero_or_pos with (rfl | ha) · simp [(coprime_zero_left _).mp hab] rcases b.eq_zero_or_pos with (rfl | hb) · simp [(coprime_zero_right _).mp hab] rw [mem_factors_mul ha.ne' hb.ne', List.mem_union_iff]
import Mathlib.Topology.MetricSpace.HausdorffDistance #align_import topology.metric_space.pi_nat from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993" noncomputable section open scoped Classical open Topology Filter open TopologicalSpace Set Metric Filter Function attribute [local simp] pow_le_pow_iff_right one_lt_two inv_le_inv zero_le_two zero_lt_two variable {E : ℕ → Type*} namespace PiNat irreducible_def firstDiff (x y : ∀ n, E n) : ℕ := if h : x ≠ y then Nat.find (ne_iff.1 h) else 0 #align pi_nat.first_diff PiNat.firstDiff theorem apply_firstDiff_ne {x y : ∀ n, E n} (h : x ≠ y) : x (firstDiff x y) ≠ y (firstDiff x y) := by rw [firstDiff_def, dif_pos h] exact Nat.find_spec (ne_iff.1 h) #align pi_nat.apply_first_diff_ne PiNat.apply_firstDiff_ne theorem apply_eq_of_lt_firstDiff {x y : ∀ n, E n} {n : ℕ} (hn : n < firstDiff x y) : x n = y n := by rw [firstDiff_def] at hn split_ifs at hn with h · convert Nat.find_min (ne_iff.1 h) hn simp · exact (not_lt_zero' hn).elim #align pi_nat.apply_eq_of_lt_first_diff PiNat.apply_eq_of_lt_firstDiff theorem firstDiff_comm (x y : ∀ n, E n) : firstDiff x y = firstDiff y x := by simp only [firstDiff_def, ne_comm] #align pi_nat.first_diff_comm PiNat.firstDiff_comm theorem min_firstDiff_le (x y z : ∀ n, E n) (h : x ≠ z) : min (firstDiff x y) (firstDiff y z) ≤ firstDiff x z := by by_contra! H rw [lt_min_iff] at H refine apply_firstDiff_ne h ?_ calc x (firstDiff x z) = y (firstDiff x z) := apply_eq_of_lt_firstDiff H.1 _ = z (firstDiff x z) := apply_eq_of_lt_firstDiff H.2 #align pi_nat.min_first_diff_le PiNat.min_firstDiff_le def cylinder (x : ∀ n, E n) (n : ℕ) : Set (∀ n, E n) := { y | ∀ i, i < n → y i = x i } #align pi_nat.cylinder PiNat.cylinder theorem cylinder_eq_pi (x : ∀ n, E n) (n : ℕ) : cylinder x n = Set.pi (Finset.range n : Set ℕ) fun i : ℕ => {x i} := by ext y simp [cylinder] #align pi_nat.cylinder_eq_pi PiNat.cylinder_eq_pi @[simp] theorem cylinder_zero (x : ∀ n, E n) : cylinder x 0 = univ := by simp [cylinder_eq_pi] #align pi_nat.cylinder_zero PiNat.cylinder_zero theorem cylinder_anti (x : ∀ n, E n) {m n : ℕ} (h : m ≤ n) : cylinder x n ⊆ cylinder x m := fun _y hy i hi => hy i (hi.trans_le h) #align pi_nat.cylinder_anti PiNat.cylinder_anti @[simp] theorem mem_cylinder_iff {x y : ∀ n, E n} {n : ℕ} : y ∈ cylinder x n ↔ ∀ i < n, y i = x i := Iff.rfl #align pi_nat.mem_cylinder_iff PiNat.mem_cylinder_iff theorem self_mem_cylinder (x : ∀ n, E n) (n : ℕ) : x ∈ cylinder x n := by simp #align pi_nat.self_mem_cylinder PiNat.self_mem_cylinder theorem mem_cylinder_iff_eq {x y : ∀ n, E n} {n : ℕ} : y ∈ cylinder x n ↔ cylinder y n = cylinder x n := by constructor · intro hy apply Subset.antisymm · intro z hz i hi rw [← hy i hi] exact hz i hi · intro z hz i hi rw [hy i hi] exact hz i hi · intro h rw [← h] exact self_mem_cylinder _ _ #align pi_nat.mem_cylinder_iff_eq PiNat.mem_cylinder_iff_eq theorem mem_cylinder_comm (x y : ∀ n, E n) (n : ℕ) : y ∈ cylinder x n ↔ x ∈ cylinder y n := by simp [mem_cylinder_iff_eq, eq_comm] #align pi_nat.mem_cylinder_comm PiNat.mem_cylinder_comm theorem mem_cylinder_iff_le_firstDiff {x y : ∀ n, E n} (hne : x ≠ y) (i : ℕ) : x ∈ cylinder y i ↔ i ≤ firstDiff x y := by constructor · intro h by_contra! exact apply_firstDiff_ne hne (h _ this) · intro hi j hj exact apply_eq_of_lt_firstDiff (hj.trans_le hi) #align pi_nat.mem_cylinder_iff_le_first_diff PiNat.mem_cylinder_iff_le_firstDiff theorem mem_cylinder_firstDiff (x y : ∀ n, E n) : x ∈ cylinder y (firstDiff x y) := fun _i hi => apply_eq_of_lt_firstDiff hi #align pi_nat.mem_cylinder_first_diff PiNat.mem_cylinder_firstDiff theorem cylinder_eq_cylinder_of_le_firstDiff (x y : ∀ n, E n) {n : ℕ} (hn : n ≤ firstDiff x y) : cylinder x n = cylinder y n := by rw [← mem_cylinder_iff_eq] intro i hi exact apply_eq_of_lt_firstDiff (hi.trans_le hn) #align pi_nat.cylinder_eq_cylinder_of_le_first_diff PiNat.cylinder_eq_cylinder_of_le_firstDiff theorem iUnion_cylinder_update (x : ∀ n, E n) (n : ℕ) : ⋃ k, cylinder (update x n k) (n + 1) = cylinder x n := by ext y simp only [mem_cylinder_iff, mem_iUnion] constructor · rintro ⟨k, hk⟩ i hi simpa [hi.ne] using hk i (Nat.lt_succ_of_lt hi) · intro H refine ⟨y n, fun i hi => ?_⟩ rcases Nat.lt_succ_iff_lt_or_eq.1 hi with (h'i | rfl) · simp [H i h'i, h'i.ne] · simp #align pi_nat.Union_cylinder_update PiNat.iUnion_cylinder_update theorem update_mem_cylinder (x : ∀ n, E n) (n : ℕ) (y : E n) : update x n y ∈ cylinder x n := mem_cylinder_iff.2 fun i hi => by simp [hi.ne] #align pi_nat.update_mem_cylinder PiNat.update_mem_cylinder section Res variable {α : Type*} open List def res (x : ℕ → α) : ℕ → List α | 0 => nil | Nat.succ n => x n :: res x n #align pi_nat.res PiNat.res @[simp] theorem res_zero (x : ℕ → α) : res x 0 = @nil α := rfl #align pi_nat.res_zero PiNat.res_zero @[simp] theorem res_succ (x : ℕ → α) (n : ℕ) : res x n.succ = x n :: res x n := rfl #align pi_nat.res_succ PiNat.res_succ @[simp] theorem res_length (x : ℕ → α) (n : ℕ) : (res x n).length = n := by induction n <;> simp [*] #align pi_nat.res_length PiNat.res_length theorem res_eq_res {x y : ℕ → α} {n : ℕ} : res x n = res y n ↔ ∀ ⦃m⦄, m < n → x m = y m := by constructor <;> intro h <;> induction' n with n ih; · simp · intro m hm rw [Nat.lt_succ_iff_lt_or_eq] at hm simp only [res_succ, cons.injEq] at h cases' hm with hm hm · exact ih h.2 hm rw [hm] exact h.1 · simp simp only [res_succ, cons.injEq] refine ⟨h (Nat.lt_succ_self _), ih fun m hm => ?_⟩ exact h (hm.trans (Nat.lt_succ_self _)) #align pi_nat.res_eq_res PiNat.res_eq_res
Mathlib/Topology/MetricSpace/PiNat.lean
239
243
theorem res_injective : Injective (@res α) := by
intro x y h ext n apply res_eq_res.mp _ (Nat.lt_succ_self _) rw [h]
import Mathlib.RingTheory.MvPowerSeries.Basic import Mathlib.Data.Finsupp.Interval noncomputable section open Finset (antidiagonal mem_antidiagonal) namespace MvPowerSeries open Finsupp variable {σ R : Type*} section Trunc variable [CommSemiring R] (n : σ →₀ ℕ) def truncFun (φ : MvPowerSeries σ R) : MvPolynomial σ R := ∑ m ∈ Finset.Iio n, MvPolynomial.monomial m (coeff R m φ) #align mv_power_series.trunc_fun MvPowerSeries.truncFun
Mathlib/RingTheory/MvPowerSeries/Trunc.lean
43
46
theorem coeff_truncFun (m : σ →₀ ℕ) (φ : MvPowerSeries σ R) : (truncFun n φ).coeff m = if m < n then coeff R m φ else 0 := by
classical simp [truncFun, MvPolynomial.coeff_sum]
import Mathlib.Data.ENNReal.Inv #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Set NNReal ENNReal namespace ENNReal section iInf variable {ι : Sort*} {f g : ι → ℝ≥0∞} variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} theorem toNNReal_iInf (hf : ∀ i, f i ≠ ∞) : (iInf f).toNNReal = ⨅ i, (f i).toNNReal := by cases isEmpty_or_nonempty ι · rw [iInf_of_empty, top_toNNReal, NNReal.iInf_empty] · lift f to ι → ℝ≥0 using hf simp_rw [← coe_iInf, toNNReal_coe] #align ennreal.to_nnreal_infi ENNReal.toNNReal_iInf theorem toNNReal_sInf (s : Set ℝ≥0∞) (hs : ∀ r ∈ s, r ≠ ∞) : (sInf s).toNNReal = sInf (ENNReal.toNNReal '' s) := by have hf : ∀ i, ((↑) : s → ℝ≥0∞) i ≠ ∞ := fun ⟨r, rs⟩ => hs r rs -- Porting note: `← sInf_image'` had to be replaced by `← image_eq_range` as the lemmas are used -- in a different order. simpa only [← sInf_range, ← image_eq_range, Subtype.range_coe_subtype] using (toNNReal_iInf hf) #align ennreal.to_nnreal_Inf ENNReal.toNNReal_sInf theorem toNNReal_iSup (hf : ∀ i, f i ≠ ∞) : (iSup f).toNNReal = ⨆ i, (f i).toNNReal := by lift f to ι → ℝ≥0 using hf simp_rw [toNNReal_coe] by_cases h : BddAbove (range f) · rw [← coe_iSup h, toNNReal_coe] · rw [NNReal.iSup_of_not_bddAbove h, iSup_coe_eq_top.2 h, top_toNNReal] #align ennreal.to_nnreal_supr ENNReal.toNNReal_iSup theorem toNNReal_sSup (s : Set ℝ≥0∞) (hs : ∀ r ∈ s, r ≠ ∞) : (sSup s).toNNReal = sSup (ENNReal.toNNReal '' s) := by have hf : ∀ i, ((↑) : s → ℝ≥0∞) i ≠ ∞ := fun ⟨r, rs⟩ => hs r rs -- Porting note: `← sSup_image'` had to be replaced by `← image_eq_range` as the lemmas are used -- in a different order. simpa only [← sSup_range, ← image_eq_range, Subtype.range_coe_subtype] using (toNNReal_iSup hf) #align ennreal.to_nnreal_Sup ENNReal.toNNReal_sSup theorem toReal_iInf (hf : ∀ i, f i ≠ ∞) : (iInf f).toReal = ⨅ i, (f i).toReal := by simp only [ENNReal.toReal, toNNReal_iInf hf, NNReal.coe_iInf] #align ennreal.to_real_infi ENNReal.toReal_iInf theorem toReal_sInf (s : Set ℝ≥0∞) (hf : ∀ r ∈ s, r ≠ ∞) : (sInf s).toReal = sInf (ENNReal.toReal '' s) := by simp only [ENNReal.toReal, toNNReal_sInf s hf, NNReal.coe_sInf, Set.image_image] #align ennreal.to_real_Inf ENNReal.toReal_sInf theorem toReal_iSup (hf : ∀ i, f i ≠ ∞) : (iSup f).toReal = ⨆ i, (f i).toReal := by simp only [ENNReal.toReal, toNNReal_iSup hf, NNReal.coe_iSup] #align ennreal.to_real_supr ENNReal.toReal_iSup theorem toReal_sSup (s : Set ℝ≥0∞) (hf : ∀ r ∈ s, r ≠ ∞) : (sSup s).toReal = sSup (ENNReal.toReal '' s) := by simp only [ENNReal.toReal, toNNReal_sSup s hf, NNReal.coe_sSup, Set.image_image] #align ennreal.to_real_Sup ENNReal.toReal_sSup theorem iInf_add : iInf f + a = ⨅ i, f i + a := le_antisymm (le_iInf fun _ => add_le_add (iInf_le _ _) <| le_rfl) (tsub_le_iff_right.1 <| le_iInf fun _ => tsub_le_iff_right.2 <| iInf_le _ _) #align ennreal.infi_add ENNReal.iInf_add theorem iSup_sub : (⨆ i, f i) - a = ⨆ i, f i - a := le_antisymm (tsub_le_iff_right.2 <| iSup_le fun i => tsub_le_iff_right.1 <| le_iSup (f · - a) i) (iSup_le fun _ => tsub_le_tsub (le_iSup _ _) (le_refl a)) #align ennreal.supr_sub ENNReal.iSup_sub theorem sub_iInf : (a - ⨅ i, f i) = ⨆ i, a - f i := by refine eq_of_forall_ge_iff fun c => ?_ rw [tsub_le_iff_right, add_comm, iInf_add] simp [tsub_le_iff_right, sub_eq_add_neg, add_comm] #align ennreal.sub_infi ENNReal.sub_iInf
Mathlib/Data/ENNReal/Real.lean
606
606
theorem sInf_add {s : Set ℝ≥0∞} : sInf s + a = ⨅ b ∈ s, b + a := by
simp [sInf_eq_iInf, iInf_add]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Fintype.Option import Mathlib.Data.Fintype.Pi import Mathlib.Data.Fintype.Sum #align_import combinatorics.hales_jewett from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe" open scoped Classical universe u v namespace Combinatorics structure Line (α ι : Type*) where idxFun : ι → Option α proper : ∃ i, idxFun i = none #align combinatorics.line Combinatorics.Line namespace Line -- This lets us treat a line `l : Line α ι` as a function `α → ι → α`. instance (α ι) : CoeFun (Line α ι) fun _ => α → ι → α := ⟨fun l x i => (l.idxFun i).getD x⟩ def IsMono {α ι κ} (C : (ι → α) → κ) (l : Line α ι) : Prop := ∃ c, ∀ x, C (l x) = c #align combinatorics.line.is_mono Combinatorics.Line.IsMono def diagonal (α ι) [Nonempty ι] : Line α ι where idxFun _ := none proper := ⟨Classical.arbitrary ι, rfl⟩ #align combinatorics.line.diagonal Combinatorics.Line.diagonal instance (α ι) [Nonempty ι] : Inhabited (Line α ι) := ⟨diagonal α ι⟩ structure AlmostMono {α ι κ : Type*} (C : (ι → Option α) → κ) where line : Line (Option α) ι color : κ has_color : ∀ x : α, C (line (some x)) = color #align combinatorics.line.almost_mono Combinatorics.Line.AlmostMono instance {α ι κ : Type*} [Nonempty ι] [Inhabited κ] : Inhabited (AlmostMono fun _ : ι → Option α => (default : κ)) := ⟨{ line := default color := default has_color := fun _ ↦ rfl}⟩ structure ColorFocused {α ι κ : Type*} (C : (ι → Option α) → κ) where lines : Multiset (AlmostMono C) focus : ι → Option α is_focused : ∀ p ∈ lines, p.line none = focus distinct_colors : (lines.map AlmostMono.color).Nodup #align combinatorics.line.color_focused Combinatorics.Line.ColorFocused instance {α ι κ} (C : (ι → Option α) → κ) : Inhabited (ColorFocused C) := by refine ⟨⟨0, fun _ => none, fun h => ?_, Multiset.nodup_zero⟩⟩ simp only [Multiset.not_mem_zero, IsEmpty.forall_iff] def map {α α' ι} (f : α → α') (l : Line α ι) : Line α' ι where idxFun i := (l.idxFun i).map f proper := ⟨l.proper.choose, by simp only [l.proper.choose_spec, Option.map_none']⟩ #align combinatorics.line.map Combinatorics.Line.map def vertical {α ι ι'} (v : ι → α) (l : Line α ι') : Line α (Sum ι ι') where idxFun := Sum.elim (some ∘ v) l.idxFun proper := ⟨Sum.inr l.proper.choose, l.proper.choose_spec⟩ #align combinatorics.line.vertical Combinatorics.Line.vertical def horizontal {α ι ι'} (l : Line α ι) (v : ι' → α) : Line α (Sum ι ι') where idxFun := Sum.elim l.idxFun (some ∘ v) proper := ⟨Sum.inl l.proper.choose, l.proper.choose_spec⟩ #align combinatorics.line.horizontal Combinatorics.Line.horizontal def prod {α ι ι'} (l : Line α ι) (l' : Line α ι') : Line α (Sum ι ι') where idxFun := Sum.elim l.idxFun l'.idxFun proper := ⟨Sum.inl l.proper.choose, l.proper.choose_spec⟩ #align combinatorics.line.prod Combinatorics.Line.prod theorem apply {α ι} (l : Line α ι) (x : α) : l x = fun i => (l.idxFun i).getD x := rfl #align combinatorics.line.apply Combinatorics.Line.apply
Mathlib/Combinatorics/HalesJewett.lean
175
176
theorem apply_none {α ι} (l : Line α ι) (x : α) (i : ι) (h : l.idxFun i = none) : l x i = x := by
simp only [Option.getD_none, h, l.apply]
import Mathlib.Algebra.Order.BigOperators.Group.Finset import Mathlib.Data.Nat.Factors import Mathlib.Order.Interval.Finset.Nat #align_import number_theory.divisors from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" open scoped Classical open Finset namespace Nat variable (n : ℕ) def divisors : Finset ℕ := Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 (n + 1)) #align nat.divisors Nat.divisors def properDivisors : Finset ℕ := Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 n) #align nat.proper_divisors Nat.properDivisors def divisorsAntidiagonal : Finset (ℕ × ℕ) := Finset.filter (fun x => x.fst * x.snd = n) (Ico 1 (n + 1) ×ˢ Ico 1 (n + 1)) #align nat.divisors_antidiagonal Nat.divisorsAntidiagonal variable {n} @[simp] theorem filter_dvd_eq_divisors (h : n ≠ 0) : (Finset.range n.succ).filter (· ∣ n) = n.divisors := by ext simp only [divisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self] exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt) #align nat.filter_dvd_eq_divisors Nat.filter_dvd_eq_divisors @[simp] theorem filter_dvd_eq_properDivisors (h : n ≠ 0) : (Finset.range n).filter (· ∣ n) = n.properDivisors := by ext simp only [properDivisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self] exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt) #align nat.filter_dvd_eq_proper_divisors Nat.filter_dvd_eq_properDivisors theorem properDivisors.not_self_mem : ¬n ∈ properDivisors n := by simp [properDivisors] #align nat.proper_divisors.not_self_mem Nat.properDivisors.not_self_mem @[simp] theorem mem_properDivisors {m : ℕ} : n ∈ properDivisors m ↔ n ∣ m ∧ n < m := by rcases eq_or_ne m 0 with (rfl | hm); · simp [properDivisors] simp only [and_comm, ← filter_dvd_eq_properDivisors hm, mem_filter, mem_range] #align nat.mem_proper_divisors Nat.mem_properDivisors theorem insert_self_properDivisors (h : n ≠ 0) : insert n (properDivisors n) = divisors n := by rw [divisors, properDivisors, Ico_succ_right_eq_insert_Ico (one_le_iff_ne_zero.2 h), Finset.filter_insert, if_pos (dvd_refl n)] #align nat.insert_self_proper_divisors Nat.insert_self_properDivisors theorem cons_self_properDivisors (h : n ≠ 0) : cons n (properDivisors n) properDivisors.not_self_mem = divisors n := by rw [cons_eq_insert, insert_self_properDivisors h] #align nat.cons_self_proper_divisors Nat.cons_self_properDivisors @[simp] theorem mem_divisors {m : ℕ} : n ∈ divisors m ↔ n ∣ m ∧ m ≠ 0 := by rcases eq_or_ne m 0 with (rfl | hm); · simp [divisors] simp only [hm, Ne, not_false_iff, and_true_iff, ← filter_dvd_eq_divisors hm, mem_filter, mem_range, and_iff_right_iff_imp, Nat.lt_succ_iff] exact le_of_dvd hm.bot_lt #align nat.mem_divisors Nat.mem_divisors theorem one_mem_divisors : 1 ∈ divisors n ↔ n ≠ 0 := by simp #align nat.one_mem_divisors Nat.one_mem_divisors theorem mem_divisors_self (n : ℕ) (h : n ≠ 0) : n ∈ n.divisors := mem_divisors.2 ⟨dvd_rfl, h⟩ #align nat.mem_divisors_self Nat.mem_divisors_self theorem dvd_of_mem_divisors {m : ℕ} (h : n ∈ divisors m) : n ∣ m := by cases m · apply dvd_zero · simp [mem_divisors.1 h] #align nat.dvd_of_mem_divisors Nat.dvd_of_mem_divisors @[simp] theorem mem_divisorsAntidiagonal {x : ℕ × ℕ} : x ∈ divisorsAntidiagonal n ↔ x.fst * x.snd = n ∧ n ≠ 0 := by simp only [divisorsAntidiagonal, Finset.mem_Ico, Ne, Finset.mem_filter, Finset.mem_product] rw [and_comm] apply and_congr_right rintro rfl constructor <;> intro h · contrapose! h simp [h] · rw [Nat.lt_add_one_iff, Nat.lt_add_one_iff] rw [mul_eq_zero, not_or] at h simp only [succ_le_of_lt (Nat.pos_of_ne_zero h.1), succ_le_of_lt (Nat.pos_of_ne_zero h.2), true_and_iff] exact ⟨Nat.le_mul_of_pos_right _ (Nat.pos_of_ne_zero h.2), Nat.le_mul_of_pos_left _ (Nat.pos_of_ne_zero h.1)⟩ #align nat.mem_divisors_antidiagonal Nat.mem_divisorsAntidiagonal lemma ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.1 ≠ 0 ∧ p.2 ≠ 0 := by obtain ⟨hp₁, hp₂⟩ := Nat.mem_divisorsAntidiagonal.mp hp exact mul_ne_zero_iff.mp (hp₁.symm ▸ hp₂) lemma left_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.1 ≠ 0 := (ne_zero_of_mem_divisorsAntidiagonal hp).1 lemma right_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) : p.2 ≠ 0 := (ne_zero_of_mem_divisorsAntidiagonal hp).2 theorem divisor_le {m : ℕ} : n ∈ divisors m → n ≤ m := by cases' m with m · simp · simp only [mem_divisors, Nat.succ_ne_zero m, and_true_iff, Ne, not_false_iff] exact Nat.le_of_dvd (Nat.succ_pos m) #align nat.divisor_le Nat.divisor_le theorem divisors_subset_of_dvd {m : ℕ} (hzero : n ≠ 0) (h : m ∣ n) : divisors m ⊆ divisors n := Finset.subset_iff.2 fun _x hx => Nat.mem_divisors.mpr ⟨(Nat.mem_divisors.mp hx).1.trans h, hzero⟩ #align nat.divisors_subset_of_dvd Nat.divisors_subset_of_dvd theorem divisors_subset_properDivisors {m : ℕ} (hzero : n ≠ 0) (h : m ∣ n) (hdiff : m ≠ n) : divisors m ⊆ properDivisors n := by apply Finset.subset_iff.2 intro x hx exact Nat.mem_properDivisors.2 ⟨(Nat.mem_divisors.1 hx).1.trans h, lt_of_le_of_lt (divisor_le hx) (lt_of_le_of_ne (divisor_le (Nat.mem_divisors.2 ⟨h, hzero⟩)) hdiff)⟩ #align nat.divisors_subset_proper_divisors Nat.divisors_subset_properDivisors lemma divisors_filter_dvd_of_dvd {n m : ℕ} (hn : n ≠ 0) (hm : m ∣ n) : (n.divisors.filter (· ∣ m)) = m.divisors := by ext k simp_rw [mem_filter, mem_divisors] exact ⟨fun ⟨_, hkm⟩ ↦ ⟨hkm, ne_zero_of_dvd_ne_zero hn hm⟩, fun ⟨hk, _⟩ ↦ ⟨⟨hk.trans hm, hn⟩, hk⟩⟩ @[simp] theorem divisors_zero : divisors 0 = ∅ := by ext simp #align nat.divisors_zero Nat.divisors_zero @[simp] theorem properDivisors_zero : properDivisors 0 = ∅ := by ext simp #align nat.proper_divisors_zero Nat.properDivisors_zero @[simp] lemma nonempty_divisors : (divisors n).Nonempty ↔ n ≠ 0 := ⟨fun ⟨m, hm⟩ hn ↦ by simp [hn] at hm, fun hn ↦ ⟨1, one_mem_divisors.2 hn⟩⟩ @[simp] lemma divisors_eq_empty : divisors n = ∅ ↔ n = 0 := not_nonempty_iff_eq_empty.symm.trans nonempty_divisors.not_left theorem properDivisors_subset_divisors : properDivisors n ⊆ divisors n := filter_subset_filter _ <| Ico_subset_Ico_right n.le_succ #align nat.proper_divisors_subset_divisors Nat.properDivisors_subset_divisors @[simp] theorem divisors_one : divisors 1 = {1} := by ext simp #align nat.divisors_one Nat.divisors_one @[simp] theorem properDivisors_one : properDivisors 1 = ∅ := by rw [properDivisors, Ico_self, filter_empty] #align nat.proper_divisors_one Nat.properDivisors_one theorem pos_of_mem_divisors {m : ℕ} (h : m ∈ n.divisors) : 0 < m := by cases m · rw [mem_divisors, zero_dvd_iff (a := n)] at h cases h.2 h.1 apply Nat.succ_pos #align nat.pos_of_mem_divisors Nat.pos_of_mem_divisors theorem pos_of_mem_properDivisors {m : ℕ} (h : m ∈ n.properDivisors) : 0 < m := pos_of_mem_divisors (properDivisors_subset_divisors h) #align nat.pos_of_mem_proper_divisors Nat.pos_of_mem_properDivisors theorem one_mem_properDivisors_iff_one_lt : 1 ∈ n.properDivisors ↔ 1 < n := by rw [mem_properDivisors, and_iff_right (one_dvd _)] #align nat.one_mem_proper_divisors_iff_one_lt Nat.one_mem_properDivisors_iff_one_lt @[simp] lemma sup_divisors_id (n : ℕ) : n.divisors.sup id = n := by refine le_antisymm (Finset.sup_le fun _ ↦ divisor_le) ?_ rcases Decidable.eq_or_ne n 0 with rfl | hn · apply zero_le · exact Finset.le_sup (f := id) <| mem_divisors_self n hn lemma one_lt_of_mem_properDivisors {m n : ℕ} (h : m ∈ n.properDivisors) : 1 < n := lt_of_le_of_lt (pos_of_mem_properDivisors h) (mem_properDivisors.1 h).2 lemma one_lt_div_of_mem_properDivisors {m n : ℕ} (h : m ∈ n.properDivisors) : 1 < n / m := by obtain ⟨h_dvd, h_lt⟩ := mem_properDivisors.mp h rwa [Nat.lt_div_iff_mul_lt h_dvd, mul_one] lemma mem_properDivisors_iff_exists {m n : ℕ} (hn : n ≠ 0) : m ∈ n.properDivisors ↔ ∃ k > 1, n = m * k := by refine ⟨fun h ↦ ⟨n / m, one_lt_div_of_mem_properDivisors h, ?_⟩, ?_⟩ · exact (Nat.mul_div_cancel' (mem_properDivisors.mp h).1).symm · rintro ⟨k, hk, rfl⟩ rw [mul_ne_zero_iff] at hn exact mem_properDivisors.mpr ⟨⟨k, rfl⟩, lt_mul_of_one_lt_right (Nat.pos_of_ne_zero hn.1) hk⟩ @[simp] lemma nonempty_properDivisors : n.properDivisors.Nonempty ↔ 1 < n := ⟨fun ⟨_m, hm⟩ ↦ one_lt_of_mem_properDivisors hm, fun hn ↦ ⟨1, one_mem_properDivisors_iff_one_lt.2 hn⟩⟩ @[simp] lemma properDivisors_eq_empty : n.properDivisors = ∅ ↔ n ≤ 1 := by rw [← not_nonempty_iff_eq_empty, nonempty_properDivisors, not_lt] @[simp] theorem divisorsAntidiagonal_zero : divisorsAntidiagonal 0 = ∅ := by ext simp #align nat.divisors_antidiagonal_zero Nat.divisorsAntidiagonal_zero @[simp] theorem divisorsAntidiagonal_one : divisorsAntidiagonal 1 = {(1, 1)} := by ext simp [mul_eq_one, Prod.ext_iff] #align nat.divisors_antidiagonal_one Nat.divisorsAntidiagonal_one -- @[simp] theorem swap_mem_divisorsAntidiagonal {x : ℕ × ℕ} : x.swap ∈ divisorsAntidiagonal n ↔ x ∈ divisorsAntidiagonal n := by rw [mem_divisorsAntidiagonal, mem_divisorsAntidiagonal, mul_comm, Prod.swap] #align nat.swap_mem_divisors_antidiagonal Nat.swap_mem_divisorsAntidiagonal -- Porting note: added below thm to replace the simp from the previous thm @[simp] theorem swap_mem_divisorsAntidiagonal_aux {x : ℕ × ℕ} : x.snd * x.fst = n ∧ ¬n = 0 ↔ x ∈ divisorsAntidiagonal n := by rw [mem_divisorsAntidiagonal, mul_comm] theorem fst_mem_divisors_of_mem_antidiagonal {x : ℕ × ℕ} (h : x ∈ divisorsAntidiagonal n) : x.fst ∈ divisors n := by rw [mem_divisorsAntidiagonal] at h simp [Dvd.intro _ h.1, h.2] #align nat.fst_mem_divisors_of_mem_antidiagonal Nat.fst_mem_divisors_of_mem_antidiagonal theorem snd_mem_divisors_of_mem_antidiagonal {x : ℕ × ℕ} (h : x ∈ divisorsAntidiagonal n) : x.snd ∈ divisors n := by rw [mem_divisorsAntidiagonal] at h simp [Dvd.intro_left _ h.1, h.2] #align nat.snd_mem_divisors_of_mem_antidiagonal Nat.snd_mem_divisors_of_mem_antidiagonal @[simp] theorem map_swap_divisorsAntidiagonal : (divisorsAntidiagonal n).map (Equiv.prodComm _ _).toEmbedding = divisorsAntidiagonal n := by rw [← coe_inj, coe_map, Equiv.coe_toEmbedding, Equiv.coe_prodComm, Set.image_swap_eq_preimage_swap] ext exact swap_mem_divisorsAntidiagonal #align nat.map_swap_divisors_antidiagonal Nat.map_swap_divisorsAntidiagonal @[simp] theorem image_fst_divisorsAntidiagonal : (divisorsAntidiagonal n).image Prod.fst = divisors n := by ext simp [Dvd.dvd, @eq_comm _ n (_ * _)] #align nat.image_fst_divisors_antidiagonal Nat.image_fst_divisorsAntidiagonal @[simp] theorem image_snd_divisorsAntidiagonal : (divisorsAntidiagonal n).image Prod.snd = divisors n := by rw [← map_swap_divisorsAntidiagonal, map_eq_image, image_image] exact image_fst_divisorsAntidiagonal #align nat.image_snd_divisors_antidiagonal Nat.image_snd_divisorsAntidiagonal theorem map_div_right_divisors : n.divisors.map ⟨fun d => (d, n / d), fun p₁ p₂ => congr_arg Prod.fst⟩ = n.divisorsAntidiagonal := by ext ⟨d, nd⟩ simp only [mem_map, mem_divisorsAntidiagonal, Function.Embedding.coeFn_mk, mem_divisors, Prod.ext_iff, exists_prop, and_left_comm, exists_eq_left] constructor · rintro ⟨⟨⟨k, rfl⟩, hn⟩, rfl⟩ rw [Nat.mul_div_cancel_left _ (left_ne_zero_of_mul hn).bot_lt] exact ⟨rfl, hn⟩ · rintro ⟨rfl, hn⟩ exact ⟨⟨dvd_mul_right _ _, hn⟩, Nat.mul_div_cancel_left _ (left_ne_zero_of_mul hn).bot_lt⟩ #align nat.map_div_right_divisors Nat.map_div_right_divisors theorem map_div_left_divisors : n.divisors.map ⟨fun d => (n / d, d), fun p₁ p₂ => congr_arg Prod.snd⟩ = n.divisorsAntidiagonal := by apply Finset.map_injective (Equiv.prodComm _ _).toEmbedding ext rw [map_swap_divisorsAntidiagonal, ← map_div_right_divisors, Finset.map_map] simp #align nat.map_div_left_divisors Nat.map_div_left_divisors theorem sum_divisors_eq_sum_properDivisors_add_self : ∑ i ∈ divisors n, i = (∑ i ∈ properDivisors n, i) + n := by rcases Decidable.eq_or_ne n 0 with (rfl | hn) · simp · rw [← cons_self_properDivisors hn, Finset.sum_cons, add_comm] #align nat.sum_divisors_eq_sum_proper_divisors_add_self Nat.sum_divisors_eq_sum_properDivisors_add_self def Perfect (n : ℕ) : Prop := ∑ i ∈ properDivisors n, i = n ∧ 0 < n #align nat.perfect Nat.Perfect theorem perfect_iff_sum_properDivisors (h : 0 < n) : Perfect n ↔ ∑ i ∈ properDivisors n, i = n := and_iff_left h #align nat.perfect_iff_sum_proper_divisors Nat.perfect_iff_sum_properDivisors theorem perfect_iff_sum_divisors_eq_two_mul (h : 0 < n) : Perfect n ↔ ∑ i ∈ divisors n, i = 2 * n := by rw [perfect_iff_sum_properDivisors h, sum_divisors_eq_sum_properDivisors_add_self, two_mul] constructor <;> intro h · rw [h] · apply add_right_cancel h #align nat.perfect_iff_sum_divisors_eq_two_mul Nat.perfect_iff_sum_divisors_eq_two_mul theorem mem_divisors_prime_pow {p : ℕ} (pp : p.Prime) (k : ℕ) {x : ℕ} : x ∈ divisors (p ^ k) ↔ ∃ j ≤ k, x = p ^ j := by rw [mem_divisors, Nat.dvd_prime_pow pp, and_iff_left (ne_of_gt (pow_pos pp.pos k))] #align nat.mem_divisors_prime_pow Nat.mem_divisors_prime_pow theorem Prime.divisors {p : ℕ} (pp : p.Prime) : divisors p = {1, p} := by ext rw [mem_divisors, dvd_prime pp, and_iff_left pp.ne_zero, Finset.mem_insert, Finset.mem_singleton] #align nat.prime.divisors Nat.Prime.divisors theorem Prime.properDivisors {p : ℕ} (pp : p.Prime) : properDivisors p = {1} := by rw [← erase_insert properDivisors.not_self_mem, insert_self_properDivisors pp.ne_zero, pp.divisors, pair_comm, erase_insert fun con => pp.ne_one (mem_singleton.1 con)] #align nat.prime.proper_divisors Nat.Prime.properDivisors theorem divisors_prime_pow {p : ℕ} (pp : p.Prime) (k : ℕ) : divisors (p ^ k) = (Finset.range (k + 1)).map ⟨(p ^ ·), Nat.pow_right_injective pp.two_le⟩ := by ext a rw [mem_divisors_prime_pow pp] simp [Nat.lt_succ, eq_comm] #align nat.divisors_prime_pow Nat.divisors_prime_pow theorem divisors_injective : Function.Injective divisors := Function.LeftInverse.injective sup_divisors_id @[simp] theorem divisors_inj {a b : ℕ} : a.divisors = b.divisors ↔ a = b := divisors_injective.eq_iff theorem eq_properDivisors_of_subset_of_sum_eq_sum {s : Finset ℕ} (hsub : s ⊆ n.properDivisors) : ((∑ x ∈ s, x) = ∑ x ∈ n.properDivisors, x) → s = n.properDivisors := by cases n · rw [properDivisors_zero, subset_empty] at hsub simp [hsub] classical rw [← sum_sdiff hsub] intro h apply Subset.antisymm hsub rw [← sdiff_eq_empty_iff_subset] contrapose h rw [← Ne, ← nonempty_iff_ne_empty] at h apply ne_of_lt rw [← zero_add (∑ x ∈ s, x), ← add_assoc, add_zero] apply add_lt_add_right have hlt := sum_lt_sum_of_nonempty h fun x hx => pos_of_mem_properDivisors (sdiff_subset hx) simp only [sum_const_zero] at hlt apply hlt #align nat.eq_proper_divisors_of_subset_of_sum_eq_sum Nat.eq_properDivisors_of_subset_of_sum_eq_sum
Mathlib/NumberTheory/Divisors.lean
417
430
theorem sum_properDivisors_dvd (h : (∑ x ∈ n.properDivisors, x) ∣ n) : ∑ x ∈ n.properDivisors, x = 1 ∨ ∑ x ∈ n.properDivisors, x = n := by
cases' n with n · simp · cases' n with n · simp at h · rw [or_iff_not_imp_right] intro ne_n have hlt : ∑ x ∈ n.succ.succ.properDivisors, x < n.succ.succ := lt_of_le_of_ne (Nat.le_of_dvd (Nat.succ_pos _) h) ne_n symm rw [← mem_singleton, eq_properDivisors_of_subset_of_sum_eq_sum (singleton_subset_iff.2 (mem_properDivisors.2 ⟨h, hlt⟩)) (sum_singleton _ _), mem_properDivisors] exact ⟨one_dvd _, Nat.succ_lt_succ (Nat.succ_pos _)⟩
import Mathlib.Data.List.Basic #align_import data.list.join from "leanprover-community/mathlib"@"18a5306c091183ac90884daa9373fa3b178e8607" -- Make sure we don't import algebra assert_not_exists Monoid variable {α β : Type*} namespace List attribute [simp] join -- Porting note (#10618): simp can prove this -- @[simp] theorem join_singleton (l : List α) : [l].join = l := by rw [join, join, append_nil] #align list.join_singleton List.join_singleton @[simp] theorem join_eq_nil : ∀ {L : List (List α)}, join L = [] ↔ ∀ l ∈ L, l = [] | [] => iff_of_true rfl (forall_mem_nil _) | l :: L => by simp only [join, append_eq_nil, join_eq_nil, forall_mem_cons] #align list.join_eq_nil List.join_eq_nil @[simp] theorem join_append (L₁ L₂ : List (List α)) : join (L₁ ++ L₂) = join L₁ ++ join L₂ := by induction L₁ · rfl · simp [*] #align list.join_append List.join_append theorem join_concat (L : List (List α)) (l : List α) : join (L.concat l) = join L ++ l := by simp #align list.join_concat List.join_concat @[simp] theorem join_filter_not_isEmpty : ∀ {L : List (List α)}, join (L.filter fun l => !l.isEmpty) = L.join | [] => rfl | [] :: L => by simp [join_filter_not_isEmpty (L := L), isEmpty_iff_eq_nil] | (a :: l) :: L => by simp [join_filter_not_isEmpty (L := L)] #align list.join_filter_empty_eq_ff List.join_filter_not_isEmpty @[deprecated (since := "2024-02-25")] alias join_filter_isEmpty_eq_false := join_filter_not_isEmpty @[simp] theorem join_filter_ne_nil [DecidablePred fun l : List α => l ≠ []] {L : List (List α)} : join (L.filter fun l => l ≠ []) = L.join := by simp [join_filter_not_isEmpty, ← isEmpty_iff_eq_nil] #align list.join_filter_ne_nil List.join_filter_ne_nil theorem join_join (l : List (List (List α))) : l.join.join = (l.map join).join := by induction l <;> simp [*] #align list.join_join List.join_join lemma length_join' (L : List (List α)) : length (join L) = Nat.sum (map length L) := by induction L <;> [rfl; simp only [*, join, map, Nat.sum_cons, length_append]] lemma countP_join' (p : α → Bool) : ∀ L : List (List α), countP p L.join = Nat.sum (L.map (countP p)) | [] => rfl | a :: l => by rw [join, countP_append, map_cons, Nat.sum_cons, countP_join' _ l] lemma count_join' [BEq α] (L : List (List α)) (a : α) : L.join.count a = Nat.sum (L.map (count a)) := countP_join' _ _ lemma length_bind' (l : List α) (f : α → List β) : length (l.bind f) = Nat.sum (map (length ∘ f) l) := by rw [List.bind, length_join', map_map] lemma countP_bind' (p : β → Bool) (l : List α) (f : α → List β) : countP p (l.bind f) = Nat.sum (map (countP p ∘ f) l) := by rw [List.bind, countP_join', map_map] lemma count_bind' [BEq β] (l : List α) (f : α → List β) (x : β) : count x (l.bind f) = Nat.sum (map (count x ∘ f) l) := countP_bind' _ _ _ @[simp] theorem bind_eq_nil {l : List α} {f : α → List β} : List.bind l f = [] ↔ ∀ x ∈ l, f x = [] := join_eq_nil.trans <| by simp only [mem_map, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂] #align list.bind_eq_nil List.bind_eq_nil theorem take_sum_join' (L : List (List α)) (i : ℕ) : L.join.take (Nat.sum ((L.map length).take i)) = (L.take i).join := by induction L generalizing i · simp · cases i <;> simp [take_append, *] theorem drop_sum_join' (L : List (List α)) (i : ℕ) : L.join.drop (Nat.sum ((L.map length).take i)) = (L.drop i).join := by induction L generalizing i · simp · cases i <;> simp [drop_append, *]
Mathlib/Data/List/Join.lean
123
129
theorem drop_take_succ_eq_cons_get (L : List α) (i : Fin L.length) : (L.take (i + 1)).drop i = [get L i] := by
induction' L with head tail ih · exact (Nat.not_succ_le_zero i i.isLt).elim rcases i with ⟨_ | i, hi⟩ · simp · simpa using ih ⟨i, Nat.lt_of_succ_lt_succ hi⟩
import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Bitwise import Mathlib.Data.Nat.Size #align_import data.int.bitwise from "leanprover-community/mathlib"@"0743cc5d9d86bcd1bba10f480e948a257d65056f" #align_import init.data.int.bitwise from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd" namespace Int def div2 : ℤ → ℤ | (n : ℕ) => n.div2 | -[n +1] => negSucc n.div2 #align int.div2 Int.div2 def bodd : ℤ → Bool | (n : ℕ) => n.bodd | -[n +1] => not (n.bodd) #align int.bodd Int.bodd -- Porting note: `bit0, bit1` deprecated, do we need to adapt `bit`? set_option linter.deprecated false in def bit (b : Bool) : ℤ → ℤ := cond b bit1 bit0 #align int.bit Int.bit def testBit : ℤ → ℕ → Bool | (m : ℕ), n => Nat.testBit m n | -[m +1], n => !(Nat.testBit m n) #align int.test_bit Int.testBit def natBitwise (f : Bool → Bool → Bool) (m n : ℕ) : ℤ := cond (f false false) -[ Nat.bitwise (fun x y => not (f x y)) m n +1] (Nat.bitwise f m n) #align int.nat_bitwise Int.natBitwise def bitwise (f : Bool → Bool → Bool) : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => natBitwise f m n | (m : ℕ), -[n +1] => natBitwise (fun x y => f x (not y)) m n | -[m +1], (n : ℕ) => natBitwise (fun x y => f (not x) y) m n | -[m +1], -[n +1] => natBitwise (fun x y => f (not x) (not y)) m n #align int.bitwise Int.bitwise def lnot : ℤ → ℤ | (m : ℕ) => -[m +1] | -[m +1] => m #align int.lnot Int.lnot def lor : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => m ||| n | (m : ℕ), -[n +1] => -[Nat.ldiff n m +1] | -[m +1], (n : ℕ) => -[Nat.ldiff m n +1] | -[m +1], -[n +1] => -[m &&& n +1] #align int.lor Int.lor def land : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => m &&& n | (m : ℕ), -[n +1] => Nat.ldiff m n | -[m +1], (n : ℕ) => Nat.ldiff n m | -[m +1], -[n +1] => -[m ||| n +1] #align int.land Int.land -- Porting note: I don't know why `Nat.ldiff` got the prime, but I'm matching this change here def ldiff : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => Nat.ldiff m n | (m : ℕ), -[n +1] => m &&& n | -[m +1], (n : ℕ) => -[m ||| n +1] | -[m +1], -[n +1] => Nat.ldiff n m #align int.ldiff Int.ldiff -- Porting note: I don't know why `Nat.xor'` got the prime, but I'm matching this change here protected def xor : ℤ → ℤ → ℤ | (m : ℕ), (n : ℕ) => (m ^^^ n) | (m : ℕ), -[n +1] => -[(m ^^^ n) +1] | -[m +1], (n : ℕ) => -[(m ^^^ n) +1] | -[m +1], -[n +1] => (m ^^^ n) #align int.lxor Int.xor instance : ShiftLeft ℤ where shiftLeft | (m : ℕ), (n : ℕ) => Nat.shiftLeft' false m n | (m : ℕ), -[n +1] => m >>> (Nat.succ n) | -[m +1], (n : ℕ) => -[Nat.shiftLeft' true m n +1] | -[m +1], -[n +1] => -[m >>> (Nat.succ n) +1] #align int.shiftl ShiftLeft.shiftLeft instance : ShiftRight ℤ where shiftRight m n := m <<< (-n) #align int.shiftr ShiftRight.shiftRight @[simp] theorem bodd_zero : bodd 0 = false := rfl #align int.bodd_zero Int.bodd_zero @[simp] theorem bodd_one : bodd 1 = true := rfl #align int.bodd_one Int.bodd_one theorem bodd_two : bodd 2 = false := rfl #align int.bodd_two Int.bodd_two @[simp, norm_cast] theorem bodd_coe (n : ℕ) : Int.bodd n = Nat.bodd n := rfl #align int.bodd_coe Int.bodd_coe @[simp] theorem bodd_subNatNat (m n : ℕ) : bodd (subNatNat m n) = xor m.bodd n.bodd := by apply subNatNat_elim m n fun m n i => bodd i = xor m.bodd n.bodd <;> intros i j <;> simp only [Int.bodd, Int.bodd_coe, Nat.bodd_add] <;> cases Nat.bodd i <;> simp #align int.bodd_sub_nat_nat Int.bodd_subNatNat @[simp]
Mathlib/Data/Int/Bitwise.lean
153
155
theorem bodd_negOfNat (n : ℕ) : bodd (negOfNat n) = n.bodd := by
cases n <;> simp (config := {decide := true}) rfl
import Mathlib.Algebra.Algebra.Basic import Mathlib.Algebra.Periodic import Mathlib.Topology.Algebra.Order.Field import Mathlib.Topology.Algebra.UniformMulAction import Mathlib.Topology.Algebra.Star import Mathlib.Topology.Instances.Int import Mathlib.Topology.Order.Bornology #align_import topology.instances.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd" noncomputable section open scoped Classical open Filter Int Metric Set TopologicalSpace Bornology open scoped Topology Uniformity Interval universe u v w variable {α : Type u} {β : Type v} {γ : Type w} instance : NoncompactSpace ℝ := Int.closedEmbedding_coe_real.noncompactSpace theorem Real.uniformContinuous_add : UniformContinuous fun p : ℝ × ℝ => p.1 + p.2 := Metric.uniformContinuous_iff.2 fun _ε ε0 => let ⟨δ, δ0, Hδ⟩ := rat_add_continuous_lemma abs ε0 ⟨δ, δ0, fun h => let ⟨h₁, h₂⟩ := max_lt_iff.1 h Hδ h₁ h₂⟩ #align real.uniform_continuous_add Real.uniformContinuous_add theorem Real.uniformContinuous_neg : UniformContinuous (@Neg.neg ℝ _) := Metric.uniformContinuous_iff.2 fun ε ε0 => ⟨_, ε0, fun h => by rw [dist_comm] at h; simpa only [Real.dist_eq, neg_sub_neg] using h⟩ #align real.uniform_continuous_neg Real.uniformContinuous_neg instance : ContinuousStar ℝ := ⟨continuous_id⟩ instance : UniformAddGroup ℝ := UniformAddGroup.mk' Real.uniformContinuous_add Real.uniformContinuous_neg -- short-circuit type class inference instance : TopologicalAddGroup ℝ := by infer_instance instance : TopologicalRing ℝ := inferInstance instance : TopologicalDivisionRing ℝ := inferInstance instance : ProperSpace ℝ where isCompact_closedBall x r := by rw [Real.closedBall_eq_Icc] apply isCompact_Icc instance : SecondCountableTopology ℝ := secondCountable_of_proper theorem Real.isTopologicalBasis_Ioo_rat : @IsTopologicalBasis ℝ _ (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) b}) := isTopologicalBasis_of_isOpen_of_nhds (by simp (config := { contextual := true }) [isOpen_Ioo]) fun a v hav hv => let ⟨l, u, ⟨hl, hu⟩, h⟩ := mem_nhds_iff_exists_Ioo_subset.mp (IsOpen.mem_nhds hv hav) let ⟨q, hlq, hqa⟩ := exists_rat_btwn hl let ⟨p, hap, hpu⟩ := exists_rat_btwn hu ⟨Ioo q p, by simp only [mem_iUnion] exact ⟨q, p, Rat.cast_lt.1 <| hqa.trans hap, rfl⟩, ⟨hqa, hap⟩, fun a' ⟨hqa', ha'p⟩ => h ⟨hlq.trans hqa', ha'p.trans hpu⟩⟩ #align real.is_topological_basis_Ioo_rat Real.isTopologicalBasis_Ioo_rat @[simp] theorem Real.cobounded_eq : cobounded ℝ = atBot ⊔ atTop := by simp only [← comap_dist_right_atTop (0 : ℝ), Real.dist_eq, sub_zero, comap_abs_atTop] @[deprecated] alias Real.cocompact_eq := cocompact_eq_atBot_atTop #align real.cocompact_eq Real.cocompact_eq @[deprecated (since := "2024-02-07")] alias Real.atBot_le_cocompact := atBot_le_cocompact @[deprecated (since := "2024-02-07")] alias Real.atTop_le_cocompact := atTop_le_cocompact theorem Real.mem_closure_iff {s : Set ℝ} {x : ℝ} : x ∈ closure s ↔ ∀ ε > 0, ∃ y ∈ s, |y - x| < ε := by simp [mem_closure_iff_nhds_basis nhds_basis_ball, Real.dist_eq] #align real.mem_closure_iff Real.mem_closure_iff theorem Real.uniformContinuous_inv (s : Set ℝ) {r : ℝ} (r0 : 0 < r) (H : ∀ x ∈ s, r ≤ |x|) : UniformContinuous fun p : s => p.1⁻¹ := Metric.uniformContinuous_iff.2 fun _ε ε0 => let ⟨δ, δ0, Hδ⟩ := rat_inv_continuous_lemma abs ε0 r0 ⟨δ, δ0, fun {a b} h => Hδ (H _ a.2) (H _ b.2) h⟩ #align real.uniform_continuous_inv Real.uniformContinuous_inv theorem Real.uniformContinuous_abs : UniformContinuous (abs : ℝ → ℝ) := Metric.uniformContinuous_iff.2 fun ε ε0 => ⟨ε, ε0, lt_of_le_of_lt (abs_abs_sub_abs_le_abs_sub _ _)⟩ #align real.uniform_continuous_abs Real.uniformContinuous_abs @[deprecated continuousAt_inv₀] theorem Real.tendsto_inv {r : ℝ} (r0 : r ≠ 0) : Tendsto (fun q => q⁻¹) (𝓝 r) (𝓝 r⁻¹) := continuousAt_inv₀ r0 #align real.tendsto_inv Real.tendsto_inv theorem Real.continuous_inv : Continuous fun a : { r : ℝ // r ≠ 0 } => a.val⁻¹ := continuousOn_inv₀.restrict #align real.continuous_inv Real.continuous_inv @[deprecated Continuous.inv₀] theorem Real.Continuous.inv [TopologicalSpace α] {f : α → ℝ} (h : ∀ a, f a ≠ 0) (hf : Continuous f) : Continuous fun a => (f a)⁻¹ := hf.inv₀ h #align real.continuous.inv Real.Continuous.inv theorem Real.uniformContinuous_const_mul {x : ℝ} : UniformContinuous (x * ·) := uniformContinuous_const_smul x #align real.uniform_continuous_const_mul Real.uniformContinuous_const_mul theorem Real.uniformContinuous_mul (s : Set (ℝ × ℝ)) {r₁ r₂ : ℝ} (H : ∀ x ∈ s, |(x : ℝ × ℝ).1| < r₁ ∧ |x.2| < r₂) : UniformContinuous fun p : s => p.1.1 * p.1.2 := Metric.uniformContinuous_iff.2 fun _ε ε0 => let ⟨δ, δ0, Hδ⟩ := rat_mul_continuous_lemma abs ε0 ⟨δ, δ0, fun {a b} h => let ⟨h₁, h₂⟩ := max_lt_iff.1 h Hδ (H _ a.2).1 (H _ b.2).2 h₁ h₂⟩ #align real.uniform_continuous_mul Real.uniformContinuous_mul @[deprecated continuous_mul] protected theorem Real.continuous_mul : Continuous fun p : ℝ × ℝ => p.1 * p.2 := continuous_mul #align real.continuous_mul Real.continuous_mul -- Porting note: moved `TopologicalRing` instance up instance Real.instCompleteSpace : CompleteSpace ℝ := by apply complete_of_cauchySeq_tendsto intro u hu let c : CauSeq ℝ abs := ⟨u, Metric.cauchySeq_iff'.1 hu⟩ refine ⟨c.lim, fun s h => ?_⟩ rcases Metric.mem_nhds_iff.1 h with ⟨ε, ε0, hε⟩ have := c.equiv_lim ε ε0 simp only [mem_map, mem_atTop_sets, mem_setOf_eq] exact this.imp fun N hN n hn => hε (hN n hn) theorem Real.totallyBounded_ball (x ε : ℝ) : TotallyBounded (ball x ε) := by rw [Real.ball_eq_Ioo]; apply totallyBounded_Ioo #align real.totally_bounded_ball Real.totallyBounded_ball section theorem closure_of_rat_image_lt {q : ℚ} : closure (((↑) : ℚ → ℝ) '' { x | q < x }) = { r | ↑q ≤ r } := Subset.antisymm (isClosed_Ici.closure_subset_iff.2 (image_subset_iff.2 fun p (h : q < p) => by simpa using h.le)) fun x hx => mem_closure_iff_nhds.2 fun t ht => let ⟨ε, ε0, hε⟩ := Metric.mem_nhds_iff.1 ht let ⟨p, h₁, h₂⟩ := exists_rat_btwn ((lt_add_iff_pos_right x).2 ε0) ⟨p, hε <| by rwa [mem_ball, Real.dist_eq, abs_of_pos (sub_pos.2 h₁), sub_lt_iff_lt_add'], mem_image_of_mem _ <| Rat.cast_lt.1 <| lt_of_le_of_lt hx.out h₁⟩ #align closure_of_rat_image_lt closure_of_rat_image_lt end instance instIsOrderBornology : IsOrderBornology ℝ where isBounded_iff_bddBelow_bddAbove s := by refine ⟨fun bdd ↦ ?_, fun h ↦ isBounded_of_bddAbove_of_bddBelow h.2 h.1⟩ obtain ⟨r, hr⟩ : ∃ r : ℝ, s ⊆ Icc (-r) r := by simpa [Real.closedBall_eq_Icc] using bdd.subset_closedBall 0 exact ⟨bddBelow_Icc.mono hr, bddAbove_Icc.mono hr⟩ section Periodic namespace Function
Mathlib/Topology/Instances/Real.lean
195
198
theorem Periodic.compact_of_continuous [TopologicalSpace α] {f : ℝ → α} {c : ℝ} (hp : Periodic f c) (hc : c ≠ 0) (hf : Continuous f) : IsCompact (range f) := by
rw [← hp.image_uIcc hc 0] exact isCompact_uIcc.image hf
import Mathlib.AlgebraicTopology.DoldKan.Projections import Mathlib.CategoryTheory.Idempotents.FunctorCategories import Mathlib.CategoryTheory.Idempotents.FunctorExtension #align_import algebraic_topology.dold_kan.p_infty from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.SimplicialObject CategoryTheory.Idempotents Opposite Simplicial DoldKan namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] {X : SimplicialObject C} theorem P_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) : ((P (q + 1)).f n : X _[n] ⟶ _) = (P q).f n := by rcases n with (_|n) · simp only [Nat.zero_eq, P_f_0_eq] · simp only [P_succ, add_right_eq_self, comp_add, HomologicalComplex.comp_f, HomologicalComplex.add_f_apply, comp_id] exact (HigherFacesVanish.of_P q n).comp_Hσ_eq_zero (Nat.succ_le_iff.mp hqn) set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_is_eventually_constant AlgebraicTopology.DoldKan.P_is_eventually_constant theorem Q_is_eventually_constant {q n : ℕ} (hqn : n ≤ q) : ((Q (q + 1)).f n : X _[n] ⟶ _) = (Q q).f n := by simp only [Q, HomologicalComplex.sub_f_apply, P_is_eventually_constant hqn] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_is_eventually_constant AlgebraicTopology.DoldKan.Q_is_eventually_constant noncomputable def PInfty : K[X] ⟶ K[X] := ChainComplex.ofHom _ _ _ _ _ _ (fun n => ((P n).f n : X _[n] ⟶ _)) fun n => by simpa only [← P_is_eventually_constant (show n ≤ n by rfl), AlternatingFaceMapComplex.obj_d_eq] using (P (n + 1) : K[X] ⟶ _).comm (n + 1) n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty AlgebraicTopology.DoldKan.PInfty noncomputable def QInfty : K[X] ⟶ K[X] := 𝟙 _ - PInfty set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty AlgebraicTopology.DoldKan.QInfty @[simp] theorem PInfty_f_0 : (PInfty.f 0 : X _[0] ⟶ X _[0]) = 𝟙 _ := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_0 AlgebraicTopology.DoldKan.PInfty_f_0 theorem PInfty_f (n : ℕ) : (PInfty.f n : X _[n] ⟶ X _[n]) = (P n).f n := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f AlgebraicTopology.DoldKan.PInfty_f @[simp] theorem QInfty_f_0 : (QInfty.f 0 : X _[0] ⟶ X _[0]) = 0 := by dsimp [QInfty] simp only [sub_self] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f_0 AlgebraicTopology.DoldKan.QInfty_f_0 theorem QInfty_f (n : ℕ) : (QInfty.f n : X _[n] ⟶ X _[n]) = (Q n).f n := rfl set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f AlgebraicTopology.DoldKan.QInfty_f @[reassoc (attr := simp)] theorem PInfty_f_naturality (n : ℕ) {X Y : SimplicialObject C} (f : X ⟶ Y) : f.app (op [n]) ≫ PInfty.f n = PInfty.f n ≫ f.app (op [n]) := P_f_naturality n n f set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_naturality AlgebraicTopology.DoldKan.PInfty_f_naturality @[reassoc (attr := simp)] theorem QInfty_f_naturality (n : ℕ) {X Y : SimplicialObject C} (f : X ⟶ Y) : f.app (op [n]) ≫ QInfty.f n = QInfty.f n ≫ f.app (op [n]) := Q_f_naturality n n f set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f_naturality AlgebraicTopology.DoldKan.QInfty_f_naturality @[reassoc (attr := simp)] theorem PInfty_f_idem (n : ℕ) : (PInfty.f n : X _[n] ⟶ _) ≫ PInfty.f n = PInfty.f n := by simp only [PInfty_f, P_f_idem] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_idem AlgebraicTopology.DoldKan.PInfty_f_idem @[reassoc (attr := simp)] theorem PInfty_idem : (PInfty : K[X] ⟶ _) ≫ PInfty = PInfty := by ext n exact PInfty_f_idem n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_idem AlgebraicTopology.DoldKan.PInfty_idem @[reassoc (attr := simp)] theorem QInfty_f_idem (n : ℕ) : (QInfty.f n : X _[n] ⟶ _) ≫ QInfty.f n = QInfty.f n := Q_f_idem _ _ set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_f_idem AlgebraicTopology.DoldKan.QInfty_f_idem @[reassoc (attr := simp)] theorem QInfty_idem : (QInfty : K[X] ⟶ _) ≫ QInfty = QInfty := by ext n exact QInfty_f_idem n set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.Q_infty_idem AlgebraicTopology.DoldKan.QInfty_idem @[reassoc (attr := simp)] theorem PInfty_f_comp_QInfty_f (n : ℕ) : (PInfty.f n : X _[n] ⟶ _) ≫ QInfty.f n = 0 := by dsimp only [QInfty] simp only [HomologicalComplex.sub_f_apply, HomologicalComplex.id_f, comp_sub, comp_id, PInfty_f_idem, sub_self] set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.P_infty_f_comp_Q_infty_f AlgebraicTopology.DoldKan.PInfty_f_comp_QInfty_f @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/PInfty.lean
138
140
theorem PInfty_comp_QInfty : (PInfty : K[X] ⟶ _) ≫ QInfty = 0 := by
ext n apply PInfty_f_comp_QInfty_f
import Mathlib.LinearAlgebra.CliffordAlgebra.Basic import Mathlib.LinearAlgebra.Alternating.Basic #align_import linear_algebra.exterior_algebra.basic from "leanprover-community/mathlib"@"b8d2eaa69d69ce8f03179a5cda774fc0cde984e4" universe u1 u2 u3 u4 u5 variable (R : Type u1) [CommRing R] variable (M : Type u2) [AddCommGroup M] [Module R M] abbrev ExteriorAlgebra := CliffordAlgebra (0 : QuadraticForm R M) #align exterior_algebra ExteriorAlgebra namespace ExteriorAlgebra variable {M} abbrev ι : M →ₗ[R] ExteriorAlgebra R M := CliffordAlgebra.ι _ #align exterior_algebra.ι ExteriorAlgebra.ι variable {R} -- @[simp] -- Porting note (#10618): simp can prove this theorem ι_sq_zero (m : M) : ι R m * ι R m = 0 := (CliffordAlgebra.ι_sq_scalar _ m).trans <| map_zero _ #align exterior_algebra.ι_sq_zero ExteriorAlgebra.ι_sq_zero variable {A : Type*} [Semiring A] [Algebra R A] -- @[simp] -- Porting note (#10618): simp can prove this theorem comp_ι_sq_zero (g : ExteriorAlgebra R M →ₐ[R] A) (m : M) : g (ι R m) * g (ι R m) = 0 := by rw [← AlgHom.map_mul, ι_sq_zero, AlgHom.map_zero] #align exterior_algebra.comp_ι_sq_zero ExteriorAlgebra.comp_ι_sq_zero variable (R) @[simps! symm_apply] def lift : { f : M →ₗ[R] A // ∀ m, f m * f m = 0 } ≃ (ExteriorAlgebra R M →ₐ[R] A) := Equiv.trans (Equiv.subtypeEquiv (Equiv.refl _) <| by simp) <| CliffordAlgebra.lift _ #align exterior_algebra.lift ExteriorAlgebra.lift @[simp] theorem ι_comp_lift (f : M →ₗ[R] A) (cond : ∀ m, f m * f m = 0) : (lift R ⟨f, cond⟩).toLinearMap.comp (ι R) = f := CliffordAlgebra.ι_comp_lift f _ #align exterior_algebra.ι_comp_lift ExteriorAlgebra.ι_comp_lift @[simp] theorem lift_ι_apply (f : M →ₗ[R] A) (cond : ∀ m, f m * f m = 0) (x) : lift R ⟨f, cond⟩ (ι R x) = f x := CliffordAlgebra.lift_ι_apply f _ x #align exterior_algebra.lift_ι_apply ExteriorAlgebra.lift_ι_apply @[simp] theorem lift_unique (f : M →ₗ[R] A) (cond : ∀ m, f m * f m = 0) (g : ExteriorAlgebra R M →ₐ[R] A) : g.toLinearMap.comp (ι R) = f ↔ g = lift R ⟨f, cond⟩ := CliffordAlgebra.lift_unique f _ _ #align exterior_algebra.lift_unique ExteriorAlgebra.lift_unique variable {R} @[simp] theorem lift_comp_ι (g : ExteriorAlgebra R M →ₐ[R] A) : lift R ⟨g.toLinearMap.comp (ι R), comp_ι_sq_zero _⟩ = g := CliffordAlgebra.lift_comp_ι g #align exterior_algebra.lift_comp_ι ExteriorAlgebra.lift_comp_ι @[ext] theorem hom_ext {f g : ExteriorAlgebra R M →ₐ[R] A} (h : f.toLinearMap.comp (ι R) = g.toLinearMap.comp (ι R)) : f = g := CliffordAlgebra.hom_ext h #align exterior_algebra.hom_ext ExteriorAlgebra.hom_ext @[elab_as_elim] theorem induction {C : ExteriorAlgebra R M → Prop} (algebraMap : ∀ r, C (algebraMap R (ExteriorAlgebra R M) r)) (ι : ∀ x, C (ι R x)) (mul : ∀ a b, C a → C b → C (a * b)) (add : ∀ a b, C a → C b → C (a + b)) (a : ExteriorAlgebra R M) : C a := CliffordAlgebra.induction algebraMap ι mul add a #align exterior_algebra.induction ExteriorAlgebra.induction def algebraMapInv : ExteriorAlgebra R M →ₐ[R] R := ExteriorAlgebra.lift R ⟨(0 : M →ₗ[R] R), fun _ => by simp⟩ #align exterior_algebra.algebra_map_inv ExteriorAlgebra.algebraMapInv variable (M) theorem algebraMap_leftInverse : Function.LeftInverse algebraMapInv (algebraMap R <| ExteriorAlgebra R M) := fun x => by simp [algebraMapInv] #align exterior_algebra.algebra_map_left_inverse ExteriorAlgebra.algebraMap_leftInverse @[simp] theorem algebraMap_inj (x y : R) : algebraMap R (ExteriorAlgebra R M) x = algebraMap R (ExteriorAlgebra R M) y ↔ x = y := (algebraMap_leftInverse M).injective.eq_iff #align exterior_algebra.algebra_map_inj ExteriorAlgebra.algebraMap_inj @[simp] theorem algebraMap_eq_zero_iff (x : R) : algebraMap R (ExteriorAlgebra R M) x = 0 ↔ x = 0 := map_eq_zero_iff (algebraMap _ _) (algebraMap_leftInverse _).injective #align exterior_algebra.algebra_map_eq_zero_iff ExteriorAlgebra.algebraMap_eq_zero_iff @[simp] theorem algebraMap_eq_one_iff (x : R) : algebraMap R (ExteriorAlgebra R M) x = 1 ↔ x = 1 := map_eq_one_iff (algebraMap _ _) (algebraMap_leftInverse _).injective #align exterior_algebra.algebra_map_eq_one_iff ExteriorAlgebra.algebraMap_eq_one_iff theorem isUnit_algebraMap (r : R) : IsUnit (algebraMap R (ExteriorAlgebra R M) r) ↔ IsUnit r := isUnit_map_of_leftInverse _ (algebraMap_leftInverse M) #align exterior_algebra.is_unit_algebra_map ExteriorAlgebra.isUnit_algebraMap @[simps!] def invertibleAlgebraMapEquiv (r : R) : Invertible (algebraMap R (ExteriorAlgebra R M) r) ≃ Invertible r := invertibleEquivOfLeftInverse _ _ _ (algebraMap_leftInverse M) #align exterior_algebra.invertible_algebra_map_equiv ExteriorAlgebra.invertibleAlgebraMapEquiv variable {M} def toTrivSqZeroExt [Module Rᵐᵒᵖ M] [IsCentralScalar R M] : ExteriorAlgebra R M →ₐ[R] TrivSqZeroExt R M := lift R ⟨TrivSqZeroExt.inrHom R M, fun m => TrivSqZeroExt.inr_mul_inr R m m⟩ #align exterior_algebra.to_triv_sq_zero_ext ExteriorAlgebra.toTrivSqZeroExt @[simp] theorem toTrivSqZeroExt_ι [Module Rᵐᵒᵖ M] [IsCentralScalar R M] (x : M) : toTrivSqZeroExt (ι R x) = TrivSqZeroExt.inr x := lift_ι_apply _ _ _ _ #align exterior_algebra.to_triv_sq_zero_ext_ι ExteriorAlgebra.toTrivSqZeroExt_ι def ιInv : ExteriorAlgebra R M →ₗ[R] M := by letI : Module Rᵐᵒᵖ M := Module.compHom _ ((RingHom.id R).fromOpposite mul_comm) haveI : IsCentralScalar R M := ⟨fun r m => rfl⟩ exact (TrivSqZeroExt.sndHom R M).comp toTrivSqZeroExt.toLinearMap #align exterior_algebra.ι_inv ExteriorAlgebra.ιInv theorem ι_leftInverse : Function.LeftInverse ιInv (ι R : M → ExteriorAlgebra R M) := fun x => by -- Porting note: Original proof didn't have `letI` and `haveI` letI : Module Rᵐᵒᵖ M := Module.compHom _ ((RingHom.id R).fromOpposite mul_comm) haveI : IsCentralScalar R M := ⟨fun r m => rfl⟩ simp [ιInv] #align exterior_algebra.ι_left_inverse ExteriorAlgebra.ι_leftInverse variable (R) @[simp] theorem ι_inj (x y : M) : ι R x = ι R y ↔ x = y := ι_leftInverse.injective.eq_iff #align exterior_algebra.ι_inj ExteriorAlgebra.ι_inj variable {R} @[simp] theorem ι_eq_zero_iff (x : M) : ι R x = 0 ↔ x = 0 := by rw [← ι_inj R x 0, LinearMap.map_zero] #align exterior_algebra.ι_eq_zero_iff ExteriorAlgebra.ι_eq_zero_iff @[simp] theorem ι_eq_algebraMap_iff (x : M) (r : R) : ι R x = algebraMap R _ r ↔ x = 0 ∧ r = 0 := by refine ⟨fun h => ?_, ?_⟩ · letI : Module Rᵐᵒᵖ M := Module.compHom _ ((RingHom.id R).fromOpposite mul_comm) haveI : IsCentralScalar R M := ⟨fun r m => rfl⟩ have hf0 : toTrivSqZeroExt (ι R x) = (0, x) := toTrivSqZeroExt_ι _ rw [h, AlgHom.commutes] at hf0 have : r = 0 ∧ 0 = x := Prod.ext_iff.1 hf0 exact this.symm.imp_left Eq.symm · rintro ⟨rfl, rfl⟩ rw [LinearMap.map_zero, RingHom.map_zero] #align exterior_algebra.ι_eq_algebra_map_iff ExteriorAlgebra.ι_eq_algebraMap_iff @[simp]
Mathlib/LinearAlgebra/ExteriorAlgebra/Basic.lean
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theorem ι_ne_one [Nontrivial R] (x : M) : ι R x ≠ 1 := by
rw [← (algebraMap R (ExteriorAlgebra R M)).map_one, Ne, ι_eq_algebraMap_iff] exact one_ne_zero ∘ And.right
import Mathlib.Logic.Pairwise import Mathlib.Order.CompleteBooleanAlgebra import Mathlib.Order.Directed import Mathlib.Order.GaloisConnection #align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" open Function Set universe u variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*} namespace Set theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by simp_rw [mem_iUnion] #align set.mem_Union₂ Set.mem_iUnion₂ theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by simp_rw [mem_iInter] #align set.mem_Inter₂ Set.mem_iInter₂ theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i := mem_iUnion.2 ⟨i, ha⟩ #align set.mem_Union_of_mem Set.mem_iUnion_of_mem theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) : a ∈ ⋃ (i) (j), s i j := mem_iUnion₂.2 ⟨i, j, ha⟩ #align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i := mem_iInter.2 h #align set.mem_Inter_of_mem Set.mem_iInter_of_mem theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) : a ∈ ⋂ (i) (j), s i j := mem_iInter₂.2 h #align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) := { instBooleanAlgebraSet with le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩ sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in sInf_le := fun s t t_in a h => h _ t_in iInf_iSup_eq := by intros; ext; simp [Classical.skolem] } instance : OrderTop (Set α) where top := univ le_top := by simp @[congr] theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ := iSup_congr_Prop pq f #align set.Union_congr_Prop Set.iUnion_congr_Prop @[congr] theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q) (f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ := iInf_congr_Prop pq f #align set.Inter_congr_Prop Set.iInter_congr_Prop theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i := iSup_plift_up _ #align set.Union_plift_up Set.iUnion_plift_up theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i := iSup_plift_down _ #align set.Union_plift_down Set.iUnion_plift_down theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i := iInf_plift_up _ #align set.Inter_plift_up Set.iInter_plift_up theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i := iInf_plift_down _ #align set.Inter_plift_down Set.iInter_plift_down theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ := iSup_eq_if _ #align set.Union_eq_if Set.iUnion_eq_if theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋃ h : p, s h = if h : p then s h else ∅ := iSup_eq_dif _ #align set.Union_eq_dif Set.iUnion_eq_dif theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ := iInf_eq_if _ #align set.Inter_eq_if Set.iInter_eq_if theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) : ⋂ h : p, s h = if h : p then s h else univ := _root_.iInf_eq_dif _ #align set.Infi_eq_dif Set.iInf_eq_dif theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β) (w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by have p : x ∈ ⊤ := Set.mem_univ x rw [← w, Set.mem_iUnion] at p simpa using p #align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α) (H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some exact ⟨x, m⟩ #align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty theorem nonempty_of_nonempty_iUnion {s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by obtain ⟨x, hx⟩ := h_Union exact ⟨Classical.choose <| mem_iUnion.mp hx⟩ theorem nonempty_of_nonempty_iUnion_eq_univ {s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι := nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty) theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } := ext fun _ => mem_iUnion.symm #align set.set_of_exists Set.setOf_exists theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } := ext fun _ => mem_iInter.symm #align set.set_of_forall Set.setOf_forall theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t := iSup_le h #align set.Union_subset Set.iUnion_subset theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) : ⋃ (i) (j), s i j ⊆ t := iUnion_subset fun x => iUnion_subset (h x) #align set.Union₂_subset Set.iUnion₂_subset theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i := le_iInf h #align set.subset_Inter Set.subset_iInter theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) : s ⊆ ⋂ (i) (j), t i j := subset_iInter fun x => subset_iInter <| h x #align set.subset_Inter₂ Set.subset_iInter₂ @[simp] theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t := ⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩ #align set.Union_subset_iff Set.iUnion_subset_iff theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} : ⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff] #align set.Union₂_subset_iff Set.iUnion₂_subset_iff @[simp] theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i := le_iInf_iff #align set.subset_Inter_iff Set.subset_iInter_iff -- Porting note (#10618): removing `simp`. `simp` can prove it theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} : (s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff] #align set.subset_Inter₂_iff Set.subset_iInter₂_iff theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i := le_iSup #align set.subset_Union Set.subset_iUnion theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i := iInf_le #align set.Inter_subset Set.iInter_subset theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' := le_iSup₂ i j #align set.subset_Union₂ Set.subset_iUnion₂ theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j := iInf₂_le i j #align set.Inter₂_subset Set.iInter₂_subset theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i := le_iSup_of_le i h #align set.subset_Union_of_subset Set.subset_iUnion_of_subset theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) : ⋂ i, s i ⊆ t := iInf_le_of_le i h #align set.Inter_subset_of_subset Set.iInter_subset_of_subset theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i) (h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j := le_iSup₂_of_le i j h #align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i) (h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t := iInf₂_le_of_le i j h #align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono h #align set.Union_mono Set.iUnion_mono @[gcongr] theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t := iSup_mono h theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j := iSup₂_mono h #align set.Union₂_mono Set.iUnion₂_mono theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i := iInf_mono h #align set.Inter_mono Set.iInter_mono @[gcongr] theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t := iInf_mono h theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) : ⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j := iInf₂_mono h #align set.Inter₂_mono Set.iInter₂_mono theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) : ⋃ i, s i ⊆ ⋃ i, t i := iSup_mono' h #align set.Union_mono' Set.iUnion_mono' theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' := iSup₂_mono' h #align set.Union₂_mono' Set.iUnion₂_mono' theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) : ⋂ i, s i ⊆ ⋂ j, t j := Set.subset_iInter fun j => let ⟨i, hi⟩ := h j iInter_subset_of_subset i hi #align set.Inter_mono' Set.iInter_mono' theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α} (h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' := subset_iInter₂_iff.2 fun i' j' => let ⟨_, _, hst⟩ := h i' j' (iInter₂_subset _ _).trans hst #align set.Inter₂_mono' Set.iInter₂_mono' theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) : ⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i := iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl #align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) : ⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i := iInter_mono fun _ => subset_iInter fun _ => Subset.rfl #align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂ theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by ext exact mem_iUnion #align set.Union_set_of Set.iUnion_setOf theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by ext exact mem_iInter #align set.Inter_set_of Set.iInter_setOf theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y := h1.iSup_congr h h2 #align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h) (h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y := h1.iInf_congr h h2 #align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h #align set.Union_congr Set.iUnion_congr lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h #align set.Inter_congr Set.iInter_congr lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋃ (i) (j), s i j = ⋃ (i) (j), t i j := iUnion_congr fun i => iUnion_congr <| h i #align set.Union₂_congr Set.iUnion₂_congr lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) : ⋂ (i) (j), s i j = ⋂ (i) (j), t i j := iInter_congr fun i => iInter_congr <| h i #align set.Inter₂_congr Set.iInter₂_congr @[simp] theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ := compl_iSup #align set.compl_Union Set.compl_iUnion theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by simp_rw [compl_iUnion] #align set.compl_Union₂ Set.compl_iUnion₂ @[simp] theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ := compl_iInf #align set.compl_Inter Set.compl_iInter theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by simp_rw [compl_iInter] #align set.compl_Inter₂ Set.compl_iInter₂ -- classical -- complete_boolean_algebra theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by simp only [compl_iInter, compl_compl] #align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl -- classical -- complete_boolean_algebra theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by simp only [compl_iUnion, compl_compl] #align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i := inf_iSup_eq _ _ #align set.inter_Union Set.inter_iUnion theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s := iSup_inf_eq _ _ #align set.Union_inter Set.iUnion_inter theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) : ⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i := iSup_sup_eq #align set.Union_union_distrib Set.iUnion_union_distrib theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) : ⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i := iInf_inf_eq #align set.Inter_inter_distrib Set.iInter_inter_distrib theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i := sup_iSup #align set.union_Union Set.union_iUnion theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s := iSup_sup #align set.Union_union Set.iUnion_union theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i := inf_iInf #align set.inter_Inter Set.inter_iInter theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s := iInf_inf #align set.Inter_inter Set.iInter_inter -- classical theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i := sup_iInf_eq _ _ #align set.union_Inter Set.union_iInter theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t := iInf_sup_eq _ _ #align set.Inter_union Set.iInter_union theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s := iUnion_inter _ _ #align set.Union_diff Set.iUnion_diff theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by rw [diff_eq, compl_iUnion, inter_iInter]; rfl #align set.diff_Union Set.diff_iUnion theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by rw [diff_eq, compl_iInter, inter_iUnion]; rfl #align set.diff_Inter Set.diff_iInter theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i := le_iSup_inf_iSup s t #align set.Union_inter_subset Set.iUnion_inter_subset theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_monotone hs ht #align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i := iSup_inf_of_antitone hs ht #align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α} (hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_monotone hs ht #align set.Inter_union_of_monotone Set.iInter_union_of_monotone theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α} (hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i := iInf_sup_of_antitone hs ht #align set.Inter_union_of_antitone Set.iInter_union_of_antitone theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j := iSup_iInf_le_iInf_iSup (flip s) #align set.Union_Inter_subset Set.iUnion_iInter_subset theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) := iSup_option s #align set.Union_option Set.iUnion_option theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) := iInf_option s #align set.Inter_option Set.iInter_option section variable (p : ι → Prop) [DecidablePred p] theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h := iSup_dite _ _ _ #align set.Union_dite Set.iUnion_dite theorem iUnion_ite (f g : ι → Set α) : ⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i := iUnion_dite _ _ _ #align set.Union_ite Set.iUnion_ite theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) : ⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h := iInf_dite _ _ _ #align set.Inter_dite Set.iInter_dite theorem iInter_ite (f g : ι → Set α) : ⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i := iInter_dite _ _ _ #align set.Inter_ite Set.iInter_ite end theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)} (hv : (pi univ v).Nonempty) (i : ι) : ((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by classical apply Subset.antisymm · simp [iInter_subset] · intro y y_in simp only [mem_image, mem_iInter, mem_preimage] rcases hv with ⟨z, hz⟩ refine ⟨Function.update z i y, ?_, update_same i y z⟩ rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i] exact ⟨y_in, fun j _ => by simpa using hz j⟩ #align set.image_projection_prod Set.image_projection_prod theorem iInter_false {s : False → Set α} : iInter s = univ := iInf_false #align set.Inter_false Set.iInter_false theorem iUnion_false {s : False → Set α} : iUnion s = ∅ := iSup_false #align set.Union_false Set.iUnion_false @[simp] theorem iInter_true {s : True → Set α} : iInter s = s trivial := iInf_true #align set.Inter_true Set.iInter_true @[simp] theorem iUnion_true {s : True → Set α} : iUnion s = s trivial := iSup_true #align set.Union_true Set.iUnion_true @[simp] theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} : ⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ := iInf_exists #align set.Inter_exists Set.iInter_exists @[simp] theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} : ⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ := iSup_exists #align set.Union_exists Set.iUnion_exists @[simp] theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ := iSup_bot #align set.Union_empty Set.iUnion_empty @[simp] theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ := iInf_top #align set.Inter_univ Set.iInter_univ section variable {s : ι → Set α} @[simp] theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ := iSup_eq_bot #align set.Union_eq_empty Set.iUnion_eq_empty @[simp] theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ := iInf_eq_top #align set.Inter_eq_univ Set.iInter_eq_univ @[simp] theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by simp [nonempty_iff_ne_empty] #align set.nonempty_Union Set.nonempty_iUnion -- Porting note (#10618): removing `simp`. `simp` can prove it theorem nonempty_biUnion {t : Set α} {s : α → Set β} : (⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by simp #align set.nonempty_bUnion Set.nonempty_biUnion theorem iUnion_nonempty_index (s : Set α) (t : s.Nonempty → Set β) : ⋃ h, t h = ⋃ x ∈ s, t ⟨x, ‹_›⟩ := iSup_exists #align set.Union_nonempty_index Set.iUnion_nonempty_index end @[simp] theorem iInter_iInter_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋂ (x) (h : x = b), s x h = s b rfl := iInf_iInf_eq_left #align set.Inter_Inter_eq_left Set.iInter_iInter_eq_left @[simp] theorem iInter_iInter_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋂ (x) (h : b = x), s x h = s b rfl := iInf_iInf_eq_right #align set.Inter_Inter_eq_right Set.iInter_iInter_eq_right @[simp] theorem iUnion_iUnion_eq_left {b : β} {s : ∀ x : β, x = b → Set α} : ⋃ (x) (h : x = b), s x h = s b rfl := iSup_iSup_eq_left #align set.Union_Union_eq_left Set.iUnion_iUnion_eq_left @[simp] theorem iUnion_iUnion_eq_right {b : β} {s : ∀ x : β, b = x → Set α} : ⋃ (x) (h : b = x), s x h = s b rfl := iSup_iSup_eq_right #align set.Union_Union_eq_right Set.iUnion_iUnion_eq_right theorem iInter_or {p q : Prop} (s : p ∨ q → Set α) : ⋂ h, s h = (⋂ h : p, s (Or.inl h)) ∩ ⋂ h : q, s (Or.inr h) := iInf_or #align set.Inter_or Set.iInter_or theorem iUnion_or {p q : Prop} (s : p ∨ q → Set α) : ⋃ h, s h = (⋃ i, s (Or.inl i)) ∪ ⋃ j, s (Or.inr j) := iSup_or #align set.Union_or Set.iUnion_or theorem iUnion_and {p q : Prop} (s : p ∧ q → Set α) : ⋃ h, s h = ⋃ (hp) (hq), s ⟨hp, hq⟩ := iSup_and #align set.Union_and Set.iUnion_and theorem iInter_and {p q : Prop} (s : p ∧ q → Set α) : ⋂ h, s h = ⋂ (hp) (hq), s ⟨hp, hq⟩ := iInf_and #align set.Inter_and Set.iInter_and theorem iUnion_comm (s : ι → ι' → Set α) : ⋃ (i) (i'), s i i' = ⋃ (i') (i), s i i' := iSup_comm #align set.Union_comm Set.iUnion_comm theorem iInter_comm (s : ι → ι' → Set α) : ⋂ (i) (i'), s i i' = ⋂ (i') (i), s i i' := iInf_comm #align set.Inter_comm Set.iInter_comm theorem iUnion_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋃ ia, s ia = ⋃ i, ⋃ a, s ⟨i, a⟩ := iSup_sigma theorem iUnion_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋃ i, ⋃ a, s i a = ⋃ ia : Sigma γ, s ia.1 ia.2 := iSup_sigma' _ theorem iInter_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋂ ia, s ia = ⋂ i, ⋂ a, s ⟨i, a⟩ := iInf_sigma theorem iInter_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) : ⋂ i, ⋂ a, s i a = ⋂ ia : Sigma γ, s ia.1 ia.2 := iInf_sigma' _ theorem iUnion₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋃ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋃ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iSup₂_comm _ #align set.Union₂_comm Set.iUnion₂_comm theorem iInter₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) : ⋂ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋂ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ := iInf₂_comm _ #align set.Inter₂_comm Set.iInter₂_comm @[simp] theorem biUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iUnion_and, @iUnion_comm _ ι'] #align set.bUnion_and Set.biUnion_and @[simp] theorem biUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iUnion_and, @iUnion_comm _ ι] #align set.bUnion_and' Set.biUnion_and' @[simp] theorem biInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h = ⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by simp only [iInter_and, @iInter_comm _ ι'] #align set.bInter_and Set.biInter_and @[simp] theorem biInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) : ⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h = ⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by simp only [iInter_and, @iInter_comm _ ι] #align set.bInter_and' Set.biInter_and' @[simp] theorem iUnion_iUnion_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋃ (x) (h), s x h = s b (Or.inl rfl) ∪ ⋃ (x) (h : p x), s x (Or.inr h) := by simp only [iUnion_or, iUnion_union_distrib, iUnion_iUnion_eq_left] #align set.Union_Union_eq_or_left Set.iUnion_iUnion_eq_or_left @[simp] theorem iInter_iInter_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} : ⋂ (x) (h), s x h = s b (Or.inl rfl) ∩ ⋂ (x) (h : p x), s x (Or.inr h) := by simp only [iInter_or, iInter_inter_distrib, iInter_iInter_eq_left] #align set.Inter_Inter_eq_or_left Set.iInter_iInter_eq_or_left theorem mem_biUnion {s : Set α} {t : α → Set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) : y ∈ ⋃ x ∈ s, t x := mem_iUnion₂_of_mem xs ytx #align set.mem_bUnion Set.mem_biUnion theorem mem_biInter {s : Set α} {t : α → Set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) : y ∈ ⋂ x ∈ s, t x := mem_iInter₂_of_mem h #align set.mem_bInter Set.mem_biInter theorem subset_biUnion_of_mem {s : Set α} {u : α → Set β} {x : α} (xs : x ∈ s) : u x ⊆ ⋃ x ∈ s, u x := -- Porting note: Why is this not just `subset_iUnion₂ x xs`? @subset_iUnion₂ β α (· ∈ s) (fun i _ => u i) x xs #align set.subset_bUnion_of_mem Set.subset_biUnion_of_mem theorem biInter_subset_of_mem {s : Set α} {t : α → Set β} {x : α} (xs : x ∈ s) : ⋂ x ∈ s, t x ⊆ t x := iInter₂_subset x xs #align set.bInter_subset_of_mem Set.biInter_subset_of_mem theorem biUnion_subset_biUnion_left {s s' : Set α} {t : α → Set β} (h : s ⊆ s') : ⋃ x ∈ s, t x ⊆ ⋃ x ∈ s', t x := iUnion₂_subset fun _ hx => subset_biUnion_of_mem <| h hx #align set.bUnion_subset_bUnion_left Set.biUnion_subset_biUnion_left theorem biInter_subset_biInter_left {s s' : Set α} {t : α → Set β} (h : s' ⊆ s) : ⋂ x ∈ s, t x ⊆ ⋂ x ∈ s', t x := subset_iInter₂ fun _ hx => biInter_subset_of_mem <| h hx #align set.bInter_subset_bInter_left Set.biInter_subset_biInter_left theorem biUnion_mono {s s' : Set α} {t t' : α → Set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) : ⋃ x ∈ s', t x ⊆ ⋃ x ∈ s, t' x := (biUnion_subset_biUnion_left hs).trans <| iUnion₂_mono h #align set.bUnion_mono Set.biUnion_mono theorem biInter_mono {s s' : Set α} {t t' : α → Set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) : ⋂ x ∈ s', t x ⊆ ⋂ x ∈ s, t' x := (biInter_subset_biInter_left hs).trans <| iInter₂_mono h #align set.bInter_mono Set.biInter_mono theorem biUnion_eq_iUnion (s : Set α) (t : ∀ x ∈ s, Set β) : ⋃ x ∈ s, t x ‹_› = ⋃ x : s, t x x.2 := iSup_subtype' #align set.bUnion_eq_Union Set.biUnion_eq_iUnion theorem biInter_eq_iInter (s : Set α) (t : ∀ x ∈ s, Set β) : ⋂ x ∈ s, t x ‹_› = ⋂ x : s, t x x.2 := iInf_subtype' #align set.bInter_eq_Inter Set.biInter_eq_iInter theorem iUnion_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋃ x : { x // p x }, s x = ⋃ (x) (hx : p x), s ⟨x, hx⟩ := iSup_subtype #align set.Union_subtype Set.iUnion_subtype theorem iInter_subtype (p : α → Prop) (s : { x // p x } → Set β) : ⋂ x : { x // p x }, s x = ⋂ (x) (hx : p x), s ⟨x, hx⟩ := iInf_subtype #align set.Inter_subtype Set.iInter_subtype theorem biInter_empty (u : α → Set β) : ⋂ x ∈ (∅ : Set α), u x = univ := iInf_emptyset #align set.bInter_empty Set.biInter_empty theorem biInter_univ (u : α → Set β) : ⋂ x ∈ @univ α, u x = ⋂ x, u x := iInf_univ #align set.bInter_univ Set.biInter_univ @[simp] theorem biUnion_self (s : Set α) : ⋃ x ∈ s, s = s := Subset.antisymm (iUnion₂_subset fun _ _ => Subset.refl s) fun _ hx => mem_biUnion hx hx #align set.bUnion_self Set.biUnion_self @[simp] theorem iUnion_nonempty_self (s : Set α) : ⋃ _ : s.Nonempty, s = s := by rw [iUnion_nonempty_index, biUnion_self] #align set.Union_nonempty_self Set.iUnion_nonempty_self theorem biInter_singleton (a : α) (s : α → Set β) : ⋂ x ∈ ({a} : Set α), s x = s a := iInf_singleton #align set.bInter_singleton Set.biInter_singleton theorem biInter_union (s t : Set α) (u : α → Set β) : ⋂ x ∈ s ∪ t, u x = (⋂ x ∈ s, u x) ∩ ⋂ x ∈ t, u x := iInf_union #align set.bInter_union Set.biInter_union theorem biInter_insert (a : α) (s : Set α) (t : α → Set β) : ⋂ x ∈ insert a s, t x = t a ∩ ⋂ x ∈ s, t x := by simp #align set.bInter_insert Set.biInter_insert theorem biInter_pair (a b : α) (s : α → Set β) : ⋂ x ∈ ({a, b} : Set α), s x = s a ∩ s b := by rw [biInter_insert, biInter_singleton] #align set.bInter_pair Set.biInter_pair theorem biInter_inter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, f i ∩ t = (⋂ i ∈ s, f i) ∩ t := by haveI : Nonempty s := hs.to_subtype simp [biInter_eq_iInter, ← iInter_inter] #align set.bInter_inter Set.biInter_inter theorem inter_biInter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) : ⋂ i ∈ s, t ∩ f i = t ∩ ⋂ i ∈ s, f i := by rw [inter_comm, ← biInter_inter hs] simp [inter_comm] #align set.inter_bInter Set.inter_biInter theorem biUnion_empty (s : α → Set β) : ⋃ x ∈ (∅ : Set α), s x = ∅ := iSup_emptyset #align set.bUnion_empty Set.biUnion_empty theorem biUnion_univ (s : α → Set β) : ⋃ x ∈ @univ α, s x = ⋃ x, s x := iSup_univ #align set.bUnion_univ Set.biUnion_univ theorem biUnion_singleton (a : α) (s : α → Set β) : ⋃ x ∈ ({a} : Set α), s x = s a := iSup_singleton #align set.bUnion_singleton Set.biUnion_singleton @[simp] theorem biUnion_of_singleton (s : Set α) : ⋃ x ∈ s, {x} = s := ext <| by simp #align set.bUnion_of_singleton Set.biUnion_of_singleton theorem biUnion_union (s t : Set α) (u : α → Set β) : ⋃ x ∈ s ∪ t, u x = (⋃ x ∈ s, u x) ∪ ⋃ x ∈ t, u x := iSup_union #align set.bUnion_union Set.biUnion_union @[simp] theorem iUnion_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋃ i, f i = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iUnion_subtype _ _ #align set.Union_coe_set Set.iUnion_coe_set @[simp] theorem iInter_coe_set {α β : Type*} (s : Set α) (f : s → Set β) : ⋂ i, f i = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ := iInter_subtype _ _ #align set.Inter_coe_set Set.iInter_coe_set theorem biUnion_insert (a : α) (s : Set α) (t : α → Set β) : ⋃ x ∈ insert a s, t x = t a ∪ ⋃ x ∈ s, t x := by simp #align set.bUnion_insert Set.biUnion_insert theorem biUnion_pair (a b : α) (s : α → Set β) : ⋃ x ∈ ({a, b} : Set α), s x = s a ∪ s b := by simp #align set.bUnion_pair Set.biUnion_pair theorem inter_iUnion₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∩ ⋃ (i) (j), t i j) = ⋃ (i) (j), s ∩ t i j := by simp only [inter_iUnion] #align set.inter_Union₂ Set.inter_iUnion₂ theorem iUnion₂_inter (s : ∀ i, κ i → Set α) (t : Set α) : (⋃ (i) (j), s i j) ∩ t = ⋃ (i) (j), s i j ∩ t := by simp_rw [iUnion_inter] #align set.Union₂_inter Set.iUnion₂_inter theorem union_iInter₂ (s : Set α) (t : ∀ i, κ i → Set α) : (s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_iInter] #align set.union_Inter₂ Set.union_iInter₂ theorem iInter₂_union (s : ∀ i, κ i → Set α) (t : Set α) : (⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [iInter_union] #align set.Inter₂_union Set.iInter₂_union theorem mem_sUnion_of_mem {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∈ t) (ht : t ∈ S) : x ∈ ⋃₀S := ⟨t, ht, hx⟩ #align set.mem_sUnion_of_mem Set.mem_sUnion_of_mem -- is this theorem really necessary? theorem not_mem_of_not_mem_sUnion {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∉ ⋃₀S) (ht : t ∈ S) : x ∉ t := fun h => hx ⟨t, ht, h⟩ #align set.not_mem_of_not_mem_sUnion Set.not_mem_of_not_mem_sUnion theorem sInter_subset_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : ⋂₀ S ⊆ t := sInf_le tS #align set.sInter_subset_of_mem Set.sInter_subset_of_mem theorem subset_sUnion_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : t ⊆ ⋃₀S := le_sSup tS #align set.subset_sUnion_of_mem Set.subset_sUnion_of_mem theorem subset_sUnion_of_subset {s : Set α} (t : Set (Set α)) (u : Set α) (h₁ : s ⊆ u) (h₂ : u ∈ t) : s ⊆ ⋃₀t := Subset.trans h₁ (subset_sUnion_of_mem h₂) #align set.subset_sUnion_of_subset Set.subset_sUnion_of_subset theorem sUnion_subset {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t' ⊆ t) : ⋃₀S ⊆ t := sSup_le h #align set.sUnion_subset Set.sUnion_subset @[simp] theorem sUnion_subset_iff {s : Set (Set α)} {t : Set α} : ⋃₀s ⊆ t ↔ ∀ t' ∈ s, t' ⊆ t := sSup_le_iff #align set.sUnion_subset_iff Set.sUnion_subset_iff lemma sUnion_mono_subsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, t ⊆ f t) : ⋃₀ s ⊆ ⋃₀ (f '' s) := fun _ ⟨t, htx, hxt⟩ ↦ ⟨f t, mem_image_of_mem f htx, hf t hxt⟩ lemma sUnion_mono_supsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, f t ⊆ t) : ⋃₀ (f '' s) ⊆ ⋃₀ s := -- If t ∈ f '' s is arbitrary; t = f u for some u : Set α. fun _ ⟨_, ⟨u, hus, hut⟩, hxt⟩ ↦ ⟨u, hus, (hut ▸ hf u) hxt⟩ theorem subset_sInter {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t ⊆ t') : t ⊆ ⋂₀ S := le_sInf h #align set.subset_sInter Set.subset_sInter @[simp] theorem subset_sInter_iff {S : Set (Set α)} {t : Set α} : t ⊆ ⋂₀ S ↔ ∀ t' ∈ S, t ⊆ t' := le_sInf_iff #align set.subset_sInter_iff Set.subset_sInter_iff @[gcongr] theorem sUnion_subset_sUnion {S T : Set (Set α)} (h : S ⊆ T) : ⋃₀S ⊆ ⋃₀T := sUnion_subset fun _ hs => subset_sUnion_of_mem (h hs) #align set.sUnion_subset_sUnion Set.sUnion_subset_sUnion @[gcongr] theorem sInter_subset_sInter {S T : Set (Set α)} (h : S ⊆ T) : ⋂₀ T ⊆ ⋂₀ S := subset_sInter fun _ hs => sInter_subset_of_mem (h hs) #align set.sInter_subset_sInter Set.sInter_subset_sInter @[simp] theorem sUnion_empty : ⋃₀∅ = (∅ : Set α) := sSup_empty #align set.sUnion_empty Set.sUnion_empty @[simp] theorem sInter_empty : ⋂₀ ∅ = (univ : Set α) := sInf_empty #align set.sInter_empty Set.sInter_empty @[simp] theorem sUnion_singleton (s : Set α) : ⋃₀{s} = s := sSup_singleton #align set.sUnion_singleton Set.sUnion_singleton @[simp] theorem sInter_singleton (s : Set α) : ⋂₀ {s} = s := sInf_singleton #align set.sInter_singleton Set.sInter_singleton @[simp] theorem sUnion_eq_empty {S : Set (Set α)} : ⋃₀S = ∅ ↔ ∀ s ∈ S, s = ∅ := sSup_eq_bot #align set.sUnion_eq_empty Set.sUnion_eq_empty @[simp] theorem sInter_eq_univ {S : Set (Set α)} : ⋂₀ S = univ ↔ ∀ s ∈ S, s = univ := sInf_eq_top #align set.sInter_eq_univ Set.sInter_eq_univ theorem subset_powerset_iff {s : Set (Set α)} {t : Set α} : s ⊆ 𝒫 t ↔ ⋃₀ s ⊆ t := sUnion_subset_iff.symm theorem sUnion_powerset_gc : GaloisConnection (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) := gc_sSup_Iic def sUnion_powerset_gi : GaloisInsertion (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) := gi_sSup_Iic theorem sUnion_mem_empty_univ {S : Set (Set α)} (h : S ⊆ {∅, univ}) : ⋃₀ S ∈ ({∅, univ} : Set (Set α)) := by simp only [mem_insert_iff, mem_singleton_iff, or_iff_not_imp_left, sUnion_eq_empty, not_forall] rintro ⟨s, hs, hne⟩ obtain rfl : s = univ := (h hs).resolve_left hne exact univ_subset_iff.1 <| subset_sUnion_of_mem hs @[simp] theorem nonempty_sUnion {S : Set (Set α)} : (⋃₀S).Nonempty ↔ ∃ s ∈ S, Set.Nonempty s := by simp [nonempty_iff_ne_empty] #align set.nonempty_sUnion Set.nonempty_sUnion theorem Nonempty.of_sUnion {s : Set (Set α)} (h : (⋃₀s).Nonempty) : s.Nonempty := let ⟨s, hs, _⟩ := nonempty_sUnion.1 h ⟨s, hs⟩ #align set.nonempty.of_sUnion Set.Nonempty.of_sUnion theorem Nonempty.of_sUnion_eq_univ [Nonempty α] {s : Set (Set α)} (h : ⋃₀s = univ) : s.Nonempty := Nonempty.of_sUnion <| h.symm ▸ univ_nonempty #align set.nonempty.of_sUnion_eq_univ Set.Nonempty.of_sUnion_eq_univ theorem sUnion_union (S T : Set (Set α)) : ⋃₀(S ∪ T) = ⋃₀S ∪ ⋃₀T := sSup_union #align set.sUnion_union Set.sUnion_union theorem sInter_union (S T : Set (Set α)) : ⋂₀ (S ∪ T) = ⋂₀ S ∩ ⋂₀ T := sInf_union #align set.sInter_union Set.sInter_union @[simp] theorem sUnion_insert (s : Set α) (T : Set (Set α)) : ⋃₀insert s T = s ∪ ⋃₀T := sSup_insert #align set.sUnion_insert Set.sUnion_insert @[simp] theorem sInter_insert (s : Set α) (T : Set (Set α)) : ⋂₀ insert s T = s ∩ ⋂₀ T := sInf_insert #align set.sInter_insert Set.sInter_insert @[simp] theorem sUnion_diff_singleton_empty (s : Set (Set α)) : ⋃₀(s \ {∅}) = ⋃₀s := sSup_diff_singleton_bot s #align set.sUnion_diff_singleton_empty Set.sUnion_diff_singleton_empty @[simp] theorem sInter_diff_singleton_univ (s : Set (Set α)) : ⋂₀ (s \ {univ}) = ⋂₀ s := sInf_diff_singleton_top s #align set.sInter_diff_singleton_univ Set.sInter_diff_singleton_univ theorem sUnion_pair (s t : Set α) : ⋃₀{s, t} = s ∪ t := sSup_pair #align set.sUnion_pair Set.sUnion_pair theorem sInter_pair (s t : Set α) : ⋂₀ {s, t} = s ∩ t := sInf_pair #align set.sInter_pair Set.sInter_pair @[simp] theorem sUnion_image (f : α → Set β) (s : Set α) : ⋃₀(f '' s) = ⋃ x ∈ s, f x := sSup_image #align set.sUnion_image Set.sUnion_image @[simp] theorem sInter_image (f : α → Set β) (s : Set α) : ⋂₀ (f '' s) = ⋂ x ∈ s, f x := sInf_image #align set.sInter_image Set.sInter_image @[simp] theorem sUnion_range (f : ι → Set β) : ⋃₀range f = ⋃ x, f x := rfl #align set.sUnion_range Set.sUnion_range @[simp] theorem sInter_range (f : ι → Set β) : ⋂₀ range f = ⋂ x, f x := rfl #align set.sInter_range Set.sInter_range theorem iUnion_eq_univ_iff {f : ι → Set α} : ⋃ i, f i = univ ↔ ∀ x, ∃ i, x ∈ f i := by simp only [eq_univ_iff_forall, mem_iUnion] #align set.Union_eq_univ_iff Set.iUnion_eq_univ_iff theorem iUnion₂_eq_univ_iff {s : ∀ i, κ i → Set α} : ⋃ (i) (j), s i j = univ ↔ ∀ a, ∃ i j, a ∈ s i j := by simp only [iUnion_eq_univ_iff, mem_iUnion] #align set.Union₂_eq_univ_iff Set.iUnion₂_eq_univ_iff theorem sUnion_eq_univ_iff {c : Set (Set α)} : ⋃₀c = univ ↔ ∀ a, ∃ b ∈ c, a ∈ b := by simp only [eq_univ_iff_forall, mem_sUnion] #align set.sUnion_eq_univ_iff Set.sUnion_eq_univ_iff -- classical theorem iInter_eq_empty_iff {f : ι → Set α} : ⋂ i, f i = ∅ ↔ ∀ x, ∃ i, x ∉ f i := by simp [Set.eq_empty_iff_forall_not_mem] #align set.Inter_eq_empty_iff Set.iInter_eq_empty_iff -- classical theorem iInter₂_eq_empty_iff {s : ∀ i, κ i → Set α} : ⋂ (i) (j), s i j = ∅ ↔ ∀ a, ∃ i j, a ∉ s i j := by simp only [eq_empty_iff_forall_not_mem, mem_iInter, not_forall] #align set.Inter₂_eq_empty_iff Set.iInter₂_eq_empty_iff -- classical theorem sInter_eq_empty_iff {c : Set (Set α)} : ⋂₀ c = ∅ ↔ ∀ a, ∃ b ∈ c, a ∉ b := by simp [Set.eq_empty_iff_forall_not_mem] #align set.sInter_eq_empty_iff Set.sInter_eq_empty_iff -- classical @[simp]
Mathlib/Data/Set/Lattice.lean
1,211
1,212
theorem nonempty_iInter {f : ι → Set α} : (⋂ i, f i).Nonempty ↔ ∃ x, ∀ i, x ∈ f i := by
simp [nonempty_iff_ne_empty, iInter_eq_empty_iff]
import Mathlib.Combinatorics.SimpleGraph.Basic import Mathlib.Combinatorics.SimpleGraph.Connectivity import Mathlib.LinearAlgebra.Matrix.Trace import Mathlib.LinearAlgebra.Matrix.Symmetric #align_import combinatorics.simple_graph.adj_matrix from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" open Matrix open Finset Matrix SimpleGraph variable {V α β : Type*} namespace Matrix structure IsAdjMatrix [Zero α] [One α] (A : Matrix V V α) : Prop where zero_or_one : ∀ i j, A i j = 0 ∨ A i j = 1 := by aesop symm : A.IsSymm := by aesop apply_diag : ∀ i, A i i = 0 := by aesop #align matrix.is_adj_matrix Matrix.IsAdjMatrix namespace IsAdjMatrix variable {A : Matrix V V α} @[simp] theorem apply_diag_ne [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) (i : V) : ¬A i i = 1 := by simp [h.apply_diag i] #align matrix.is_adj_matrix.apply_diag_ne Matrix.IsAdjMatrix.apply_diag_ne @[simp] theorem apply_ne_one_iff [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) (i j : V) : ¬A i j = 1 ↔ A i j = 0 := by obtain h | h := h.zero_or_one i j <;> simp [h] #align matrix.is_adj_matrix.apply_ne_one_iff Matrix.IsAdjMatrix.apply_ne_one_iff @[simp]
Mathlib/Combinatorics/SimpleGraph/AdjMatrix.lean
74
75
theorem apply_ne_zero_iff [MulZeroOneClass α] [Nontrivial α] (h : IsAdjMatrix A) (i j : V) : ¬A i j = 0 ↔ A i j = 1 := by
rw [← apply_ne_one_iff h, Classical.not_not]
import Mathlib.Topology.MetricSpace.PiNat #align_import topology.metric_space.cantor_scheme from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993" namespace CantorScheme open List Function Filter Set PiNat open scoped Classical open Topology variable {β α : Type*} (A : List β → Set α) noncomputable def inducedMap : Σs : Set (ℕ → β), s → α := ⟨fun x => Set.Nonempty (⋂ n : ℕ, A (res x n)), fun x => x.property.some⟩ #align cantor_scheme.induced_map CantorScheme.inducedMap section Topology protected def Antitone : Prop := ∀ l : List β, ∀ a : β, A (a :: l) ⊆ A l #align cantor_scheme.antitone CantorScheme.Antitone def ClosureAntitone [TopologicalSpace α] : Prop := ∀ l : List β, ∀ a : β, closure (A (a :: l)) ⊆ A l #align cantor_scheme.closure_antitone CantorScheme.ClosureAntitone protected def Disjoint : Prop := ∀ l : List β, Pairwise fun a b => Disjoint (A (a :: l)) (A (b :: l)) #align cantor_scheme.disjoint CantorScheme.Disjoint variable {A}
Mathlib/Topology/MetricSpace/CantorScheme.lean
83
86
theorem map_mem (x : (inducedMap A).1) (n : ℕ) : (inducedMap A).2 x ∈ A (res x n) := by
have := x.property.some_mem rw [mem_iInter] at this exact this n
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.Analysis.NormedSpace.IndicatorFunction #align_import measure_theory.integral.integrable_on from "leanprover-community/mathlib"@"8b8ba04e2f326f3f7cf24ad129beda58531ada61" noncomputable section open Set Filter TopologicalSpace MeasureTheory Function open scoped Classical Topology Interval Filter ENNReal MeasureTheory variable {α β E F : Type*} [MeasurableSpace α] section variable [TopologicalSpace β] {l l' : Filter α} {f g : α → β} {μ ν : Measure α} def StronglyMeasurableAtFilter (f : α → β) (l : Filter α) (μ : Measure α := by volume_tac) := ∃ s ∈ l, AEStronglyMeasurable f (μ.restrict s) #align strongly_measurable_at_filter StronglyMeasurableAtFilter @[simp] theorem stronglyMeasurableAt_bot {f : α → β} : StronglyMeasurableAtFilter f ⊥ μ := ⟨∅, mem_bot, by simp⟩ #align strongly_measurable_at_bot stronglyMeasurableAt_bot protected theorem StronglyMeasurableAtFilter.eventually (h : StronglyMeasurableAtFilter f l μ) : ∀ᶠ s in l.smallSets, AEStronglyMeasurable f (μ.restrict s) := (eventually_smallSets' fun _ _ => AEStronglyMeasurable.mono_set).2 h #align strongly_measurable_at_filter.eventually StronglyMeasurableAtFilter.eventually protected theorem StronglyMeasurableAtFilter.filter_mono (h : StronglyMeasurableAtFilter f l μ) (h' : l' ≤ l) : StronglyMeasurableAtFilter f l' μ := let ⟨s, hsl, hs⟩ := h ⟨s, h' hsl, hs⟩ #align strongly_measurable_at_filter.filter_mono StronglyMeasurableAtFilter.filter_mono protected theorem MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter (h : AEStronglyMeasurable f μ) : StronglyMeasurableAtFilter f l μ := ⟨univ, univ_mem, by rwa [Measure.restrict_univ]⟩ #align measure_theory.ae_strongly_measurable.strongly_measurable_at_filter MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter theorem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem {s} (h : AEStronglyMeasurable f (μ.restrict s)) (hl : s ∈ l) : StronglyMeasurableAtFilter f l μ := ⟨s, hl, h⟩ #align ae_strongly_measurable.strongly_measurable_at_filter_of_mem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem protected theorem MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter (h : StronglyMeasurable f) : StronglyMeasurableAtFilter f l μ := h.aestronglyMeasurable.stronglyMeasurableAtFilter #align measure_theory.strongly_measurable.strongly_measurable_at_filter MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter end namespace MeasureTheory section NormedAddCommGroup theorem hasFiniteIntegral_restrict_of_bounded [NormedAddCommGroup E] {f : α → E} {s : Set α} {μ : Measure α} {C} (hs : μ s < ∞) (hf : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ C) : HasFiniteIntegral f (μ.restrict s) := haveI : IsFiniteMeasure (μ.restrict s) := ⟨by rwa [Measure.restrict_apply_univ]⟩ hasFiniteIntegral_of_bounded hf #align measure_theory.has_finite_integral_restrict_of_bounded MeasureTheory.hasFiniteIntegral_restrict_of_bounded variable [NormedAddCommGroup E] {f g : α → E} {s t : Set α} {μ ν : Measure α} def IntegrableOn (f : α → E) (s : Set α) (μ : Measure α := by volume_tac) : Prop := Integrable f (μ.restrict s) #align measure_theory.integrable_on MeasureTheory.IntegrableOn theorem IntegrableOn.integrable (h : IntegrableOn f s μ) : Integrable f (μ.restrict s) := h #align measure_theory.integrable_on.integrable MeasureTheory.IntegrableOn.integrable @[simp] theorem integrableOn_empty : IntegrableOn f ∅ μ := by simp [IntegrableOn, integrable_zero_measure] #align measure_theory.integrable_on_empty MeasureTheory.integrableOn_empty @[simp]
Mathlib/MeasureTheory/Integral/IntegrableOn.lean
103
104
theorem integrableOn_univ : IntegrableOn f univ μ ↔ Integrable f μ := by
rw [IntegrableOn, Measure.restrict_univ]
import Batteries.Data.DList import Mathlib.Mathport.Rename import Mathlib.Tactic.Cases #align_import data.dlist from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd" universe u #align dlist Batteries.DList namespace Batteries.DList open Function variable {α : Type u} #align dlist.of_list Batteries.DList.ofList def lazy_ofList (l : Thunk (List α)) : DList α := ⟨fun xs => l.get ++ xs, fun t => by simp⟩ #align dlist.lazy_of_list Batteries.DList.lazy_ofList #align dlist.to_list Batteries.DList.toList #align dlist.empty Batteries.DList.empty #align dlist.singleton Batteries.DList.singleton attribute [local simp] Function.comp #align dlist.cons Batteries.DList.cons #align dlist.concat Batteries.DList.push #align dlist.append Batteries.DList.append attribute [local simp] ofList toList empty singleton cons push append theorem toList_ofList (l : List α) : DList.toList (DList.ofList l) = l := by cases l; rfl; simp only [DList.toList, DList.ofList, List.cons_append, List.append_nil] #align dlist.to_list_of_list Batteries.DList.toList_ofList
Mathlib/Data/DList/Defs.lean
62
66
theorem ofList_toList (l : DList α) : DList.ofList (DList.toList l) = l := by
cases' l with app inv simp only [ofList, toList, mk.injEq] funext x rw [(inv x)]
import Mathlib.Analysis.Calculus.FDeriv.Basic import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace #align_import analysis.calculus.deriv.basic from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" universe u v w noncomputable section open scoped Classical Topology Filter ENNReal NNReal open Filter Asymptotics Set open ContinuousLinearMap (smulRight smulRight_one_eq_iff) variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] def HasDerivAtFilter (f : 𝕜 → F) (f' : F) (x : 𝕜) (L : Filter 𝕜) := HasFDerivAtFilter f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x L #align has_deriv_at_filter HasDerivAtFilter def HasDerivWithinAt (f : 𝕜 → F) (f' : F) (s : Set 𝕜) (x : 𝕜) := HasDerivAtFilter f f' x (𝓝[s] x) #align has_deriv_within_at HasDerivWithinAt def HasDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) := HasDerivAtFilter f f' x (𝓝 x) #align has_deriv_at HasDerivAt def HasStrictDerivAt (f : 𝕜 → F) (f' : F) (x : 𝕜) := HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x #align has_strict_deriv_at HasStrictDerivAt def derivWithin (f : 𝕜 → F) (s : Set 𝕜) (x : 𝕜) := fderivWithin 𝕜 f s x 1 #align deriv_within derivWithin def deriv (f : 𝕜 → F) (x : 𝕜) := fderiv 𝕜 f x 1 #align deriv deriv variable {f f₀ f₁ g : 𝕜 → F} variable {f' f₀' f₁' g' : F} variable {x : 𝕜} variable {s t : Set 𝕜} variable {L L₁ L₂ : Filter 𝕜} theorem hasFDerivAtFilter_iff_hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} : HasFDerivAtFilter f f' x L ↔ HasDerivAtFilter f (f' 1) x L := by simp [HasDerivAtFilter] #align has_fderiv_at_filter_iff_has_deriv_at_filter hasFDerivAtFilter_iff_hasDerivAtFilter theorem HasFDerivAtFilter.hasDerivAtFilter {f' : 𝕜 →L[𝕜] F} : HasFDerivAtFilter f f' x L → HasDerivAtFilter f (f' 1) x L := hasFDerivAtFilter_iff_hasDerivAtFilter.mp #align has_fderiv_at_filter.has_deriv_at_filter HasFDerivAtFilter.hasDerivAtFilter theorem hasFDerivWithinAt_iff_hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} : HasFDerivWithinAt f f' s x ↔ HasDerivWithinAt f (f' 1) s x := hasFDerivAtFilter_iff_hasDerivAtFilter #align has_fderiv_within_at_iff_has_deriv_within_at hasFDerivWithinAt_iff_hasDerivWithinAt theorem hasDerivWithinAt_iff_hasFDerivWithinAt {f' : F} : HasDerivWithinAt f f' s x ↔ HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x := Iff.rfl #align has_deriv_within_at_iff_has_fderiv_within_at hasDerivWithinAt_iff_hasFDerivWithinAt theorem HasFDerivWithinAt.hasDerivWithinAt {f' : 𝕜 →L[𝕜] F} : HasFDerivWithinAt f f' s x → HasDerivWithinAt f (f' 1) s x := hasFDerivWithinAt_iff_hasDerivWithinAt.mp #align has_fderiv_within_at.has_deriv_within_at HasFDerivWithinAt.hasDerivWithinAt theorem HasDerivWithinAt.hasFDerivWithinAt {f' : F} : HasDerivWithinAt f f' s x → HasFDerivWithinAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') s x := hasDerivWithinAt_iff_hasFDerivWithinAt.mp #align has_deriv_within_at.has_fderiv_within_at HasDerivWithinAt.hasFDerivWithinAt theorem hasFDerivAt_iff_hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x ↔ HasDerivAt f (f' 1) x := hasFDerivAtFilter_iff_hasDerivAtFilter #align has_fderiv_at_iff_has_deriv_at hasFDerivAt_iff_hasDerivAt theorem HasFDerivAt.hasDerivAt {f' : 𝕜 →L[𝕜] F} : HasFDerivAt f f' x → HasDerivAt f (f' 1) x := hasFDerivAt_iff_hasDerivAt.mp #align has_fderiv_at.has_deriv_at HasFDerivAt.hasDerivAt theorem hasStrictFDerivAt_iff_hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} : HasStrictFDerivAt f f' x ↔ HasStrictDerivAt f (f' 1) x := by simp [HasStrictDerivAt, HasStrictFDerivAt] #align has_strict_fderiv_at_iff_has_strict_deriv_at hasStrictFDerivAt_iff_hasStrictDerivAt protected theorem HasStrictFDerivAt.hasStrictDerivAt {f' : 𝕜 →L[𝕜] F} : HasStrictFDerivAt f f' x → HasStrictDerivAt f (f' 1) x := hasStrictFDerivAt_iff_hasStrictDerivAt.mp #align has_strict_fderiv_at.has_strict_deriv_at HasStrictFDerivAt.hasStrictDerivAt theorem hasStrictDerivAt_iff_hasStrictFDerivAt : HasStrictDerivAt f f' x ↔ HasStrictFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x := Iff.rfl #align has_strict_deriv_at_iff_has_strict_fderiv_at hasStrictDerivAt_iff_hasStrictFDerivAt alias ⟨HasStrictDerivAt.hasStrictFDerivAt, _⟩ := hasStrictDerivAt_iff_hasStrictFDerivAt #align has_strict_deriv_at.has_strict_fderiv_at HasStrictDerivAt.hasStrictFDerivAt theorem hasDerivAt_iff_hasFDerivAt {f' : F} : HasDerivAt f f' x ↔ HasFDerivAt f (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') x := Iff.rfl #align has_deriv_at_iff_has_fderiv_at hasDerivAt_iff_hasFDerivAt alias ⟨HasDerivAt.hasFDerivAt, _⟩ := hasDerivAt_iff_hasFDerivAt #align has_deriv_at.has_fderiv_at HasDerivAt.hasFDerivAt theorem derivWithin_zero_of_not_differentiableWithinAt (h : ¬DifferentiableWithinAt 𝕜 f s x) : derivWithin f s x = 0 := by unfold derivWithin rw [fderivWithin_zero_of_not_differentiableWithinAt h] simp #align deriv_within_zero_of_not_differentiable_within_at derivWithin_zero_of_not_differentiableWithinAt theorem derivWithin_zero_of_isolated (h : 𝓝[s \ {x}] x = ⊥) : derivWithin f s x = 0 := by rw [derivWithin, fderivWithin_zero_of_isolated h, ContinuousLinearMap.zero_apply] theorem derivWithin_zero_of_nmem_closure (h : x ∉ closure s) : derivWithin f s x = 0 := by rw [derivWithin, fderivWithin_zero_of_nmem_closure h, ContinuousLinearMap.zero_apply] theorem differentiableWithinAt_of_derivWithin_ne_zero (h : derivWithin f s x ≠ 0) : DifferentiableWithinAt 𝕜 f s x := not_imp_comm.1 derivWithin_zero_of_not_differentiableWithinAt h #align differentiable_within_at_of_deriv_within_ne_zero differentiableWithinAt_of_derivWithin_ne_zero theorem deriv_zero_of_not_differentiableAt (h : ¬DifferentiableAt 𝕜 f x) : deriv f x = 0 := by unfold deriv rw [fderiv_zero_of_not_differentiableAt h] simp #align deriv_zero_of_not_differentiable_at deriv_zero_of_not_differentiableAt theorem differentiableAt_of_deriv_ne_zero (h : deriv f x ≠ 0) : DifferentiableAt 𝕜 f x := not_imp_comm.1 deriv_zero_of_not_differentiableAt h #align differentiable_at_of_deriv_ne_zero differentiableAt_of_deriv_ne_zero theorem UniqueDiffWithinAt.eq_deriv (s : Set 𝕜) (H : UniqueDiffWithinAt 𝕜 s x) (h : HasDerivWithinAt f f' s x) (h₁ : HasDerivWithinAt f f₁' s x) : f' = f₁' := smulRight_one_eq_iff.mp <| UniqueDiffWithinAt.eq H h h₁ #align unique_diff_within_at.eq_deriv UniqueDiffWithinAt.eq_deriv theorem hasDerivAtFilter_iff_isLittleO : HasDerivAtFilter f f' x L ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[L] fun x' => x' - x := hasFDerivAtFilter_iff_isLittleO .. #align has_deriv_at_filter_iff_is_o hasDerivAtFilter_iff_isLittleO theorem hasDerivAtFilter_iff_tendsto : HasDerivAtFilter f f' x L ↔ Tendsto (fun x' : 𝕜 => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) L (𝓝 0) := hasFDerivAtFilter_iff_tendsto #align has_deriv_at_filter_iff_tendsto hasDerivAtFilter_iff_tendsto theorem hasDerivWithinAt_iff_isLittleO : HasDerivWithinAt f f' s x ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝[s] x] fun x' => x' - x := hasFDerivAtFilter_iff_isLittleO .. #align has_deriv_within_at_iff_is_o hasDerivWithinAt_iff_isLittleO theorem hasDerivWithinAt_iff_tendsto : HasDerivWithinAt f f' s x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝[s] x) (𝓝 0) := hasFDerivAtFilter_iff_tendsto #align has_deriv_within_at_iff_tendsto hasDerivWithinAt_iff_tendsto theorem hasDerivAt_iff_isLittleO : HasDerivAt f f' x ↔ (fun x' : 𝕜 => f x' - f x - (x' - x) • f') =o[𝓝 x] fun x' => x' - x := hasFDerivAtFilter_iff_isLittleO .. #align has_deriv_at_iff_is_o hasDerivAt_iff_isLittleO theorem hasDerivAt_iff_tendsto : HasDerivAt f f' x ↔ Tendsto (fun x' => ‖x' - x‖⁻¹ * ‖f x' - f x - (x' - x) • f'‖) (𝓝 x) (𝓝 0) := hasFDerivAtFilter_iff_tendsto #align has_deriv_at_iff_tendsto hasDerivAt_iff_tendsto theorem HasDerivAtFilter.isBigO_sub (h : HasDerivAtFilter f f' x L) : (fun x' => f x' - f x) =O[L] fun x' => x' - x := HasFDerivAtFilter.isBigO_sub h set_option linter.uppercaseLean3 false in #align has_deriv_at_filter.is_O_sub HasDerivAtFilter.isBigO_sub nonrec theorem HasDerivAtFilter.isBigO_sub_rev (hf : HasDerivAtFilter f f' x L) (hf' : f' ≠ 0) : (fun x' => x' - x) =O[L] fun x' => f x' - f x := suffices AntilipschitzWith ‖f'‖₊⁻¹ (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') from hf.isBigO_sub_rev this AddMonoidHomClass.antilipschitz_of_bound (smulRight (1 : 𝕜 →L[𝕜] 𝕜) f') fun x => by simp [norm_smul, ← div_eq_inv_mul, mul_div_cancel_right₀ _ (mt norm_eq_zero.1 hf')] set_option linter.uppercaseLean3 false in #align has_deriv_at_filter.is_O_sub_rev HasDerivAtFilter.isBigO_sub_rev theorem HasStrictDerivAt.hasDerivAt (h : HasStrictDerivAt f f' x) : HasDerivAt f f' x := h.hasFDerivAt #align has_strict_deriv_at.has_deriv_at HasStrictDerivAt.hasDerivAt theorem hasDerivWithinAt_congr_set' {s t : Set 𝕜} (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) : HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x := hasFDerivWithinAt_congr_set' y h #align has_deriv_within_at_congr_set' hasDerivWithinAt_congr_set' theorem hasDerivWithinAt_congr_set {s t : Set 𝕜} (h : s =ᶠ[𝓝 x] t) : HasDerivWithinAt f f' s x ↔ HasDerivWithinAt f f' t x := hasFDerivWithinAt_congr_set h #align has_deriv_within_at_congr_set hasDerivWithinAt_congr_set alias ⟨HasDerivWithinAt.congr_set, _⟩ := hasDerivWithinAt_congr_set #align has_deriv_within_at.congr_set HasDerivWithinAt.congr_set @[simp] theorem hasDerivWithinAt_diff_singleton : HasDerivWithinAt f f' (s \ {x}) x ↔ HasDerivWithinAt f f' s x := hasFDerivWithinAt_diff_singleton _ #align has_deriv_within_at_diff_singleton hasDerivWithinAt_diff_singleton @[simp] theorem hasDerivWithinAt_Ioi_iff_Ici [PartialOrder 𝕜] : HasDerivWithinAt f f' (Ioi x) x ↔ HasDerivWithinAt f f' (Ici x) x := by rw [← Ici_diff_left, hasDerivWithinAt_diff_singleton] #align has_deriv_within_at_Ioi_iff_Ici hasDerivWithinAt_Ioi_iff_Ici alias ⟨HasDerivWithinAt.Ici_of_Ioi, HasDerivWithinAt.Ioi_of_Ici⟩ := hasDerivWithinAt_Ioi_iff_Ici #align has_deriv_within_at.Ici_of_Ioi HasDerivWithinAt.Ici_of_Ioi #align has_deriv_within_at.Ioi_of_Ici HasDerivWithinAt.Ioi_of_Ici @[simp] theorem hasDerivWithinAt_Iio_iff_Iic [PartialOrder 𝕜] : HasDerivWithinAt f f' (Iio x) x ↔ HasDerivWithinAt f f' (Iic x) x := by rw [← Iic_diff_right, hasDerivWithinAt_diff_singleton] #align has_deriv_within_at_Iio_iff_Iic hasDerivWithinAt_Iio_iff_Iic alias ⟨HasDerivWithinAt.Iic_of_Iio, HasDerivWithinAt.Iio_of_Iic⟩ := hasDerivWithinAt_Iio_iff_Iic #align has_deriv_within_at.Iic_of_Iio HasDerivWithinAt.Iic_of_Iio #align has_deriv_within_at.Iio_of_Iic HasDerivWithinAt.Iio_of_Iic theorem HasDerivWithinAt.Ioi_iff_Ioo [LinearOrder 𝕜] [OrderClosedTopology 𝕜] {x y : 𝕜} (h : x < y) : HasDerivWithinAt f f' (Ioo x y) x ↔ HasDerivWithinAt f f' (Ioi x) x := hasFDerivWithinAt_inter <| Iio_mem_nhds h #align has_deriv_within_at.Ioi_iff_Ioo HasDerivWithinAt.Ioi_iff_Ioo alias ⟨HasDerivWithinAt.Ioi_of_Ioo, HasDerivWithinAt.Ioo_of_Ioi⟩ := HasDerivWithinAt.Ioi_iff_Ioo #align has_deriv_within_at.Ioi_of_Ioo HasDerivWithinAt.Ioi_of_Ioo #align has_deriv_within_at.Ioo_of_Ioi HasDerivWithinAt.Ioo_of_Ioi theorem hasDerivAt_iff_isLittleO_nhds_zero : HasDerivAt f f' x ↔ (fun h => f (x + h) - f x - h • f') =o[𝓝 0] fun h => h := hasFDerivAt_iff_isLittleO_nhds_zero #align has_deriv_at_iff_is_o_nhds_zero hasDerivAt_iff_isLittleO_nhds_zero theorem HasDerivAtFilter.mono (h : HasDerivAtFilter f f' x L₂) (hst : L₁ ≤ L₂) : HasDerivAtFilter f f' x L₁ := HasFDerivAtFilter.mono h hst #align has_deriv_at_filter.mono HasDerivAtFilter.mono theorem HasDerivWithinAt.mono (h : HasDerivWithinAt f f' t x) (hst : s ⊆ t) : HasDerivWithinAt f f' s x := HasFDerivWithinAt.mono h hst #align has_deriv_within_at.mono HasDerivWithinAt.mono theorem HasDerivWithinAt.mono_of_mem (h : HasDerivWithinAt f f' t x) (hst : t ∈ 𝓝[s] x) : HasDerivWithinAt f f' s x := HasFDerivWithinAt.mono_of_mem h hst #align has_deriv_within_at.mono_of_mem HasDerivWithinAt.mono_of_mem #align has_deriv_within_at.nhds_within HasDerivWithinAt.mono_of_mem theorem HasDerivAt.hasDerivAtFilter (h : HasDerivAt f f' x) (hL : L ≤ 𝓝 x) : HasDerivAtFilter f f' x L := HasFDerivAt.hasFDerivAtFilter h hL #align has_deriv_at.has_deriv_at_filter HasDerivAt.hasDerivAtFilter theorem HasDerivAt.hasDerivWithinAt (h : HasDerivAt f f' x) : HasDerivWithinAt f f' s x := HasFDerivAt.hasFDerivWithinAt h #align has_deriv_at.has_deriv_within_at HasDerivAt.hasDerivWithinAt theorem HasDerivWithinAt.differentiableWithinAt (h : HasDerivWithinAt f f' s x) : DifferentiableWithinAt 𝕜 f s x := HasFDerivWithinAt.differentiableWithinAt h #align has_deriv_within_at.differentiable_within_at HasDerivWithinAt.differentiableWithinAt theorem HasDerivAt.differentiableAt (h : HasDerivAt f f' x) : DifferentiableAt 𝕜 f x := HasFDerivAt.differentiableAt h #align has_deriv_at.differentiable_at HasDerivAt.differentiableAt @[simp] theorem hasDerivWithinAt_univ : HasDerivWithinAt f f' univ x ↔ HasDerivAt f f' x := hasFDerivWithinAt_univ #align has_deriv_within_at_univ hasDerivWithinAt_univ theorem HasDerivAt.unique (h₀ : HasDerivAt f f₀' x) (h₁ : HasDerivAt f f₁' x) : f₀' = f₁' := smulRight_one_eq_iff.mp <| h₀.hasFDerivAt.unique h₁ #align has_deriv_at.unique HasDerivAt.unique theorem hasDerivWithinAt_inter' (h : t ∈ 𝓝[s] x) : HasDerivWithinAt f f' (s ∩ t) x ↔ HasDerivWithinAt f f' s x := hasFDerivWithinAt_inter' h #align has_deriv_within_at_inter' hasDerivWithinAt_inter' theorem hasDerivWithinAt_inter (h : t ∈ 𝓝 x) : HasDerivWithinAt f f' (s ∩ t) x ↔ HasDerivWithinAt f f' s x := hasFDerivWithinAt_inter h #align has_deriv_within_at_inter hasDerivWithinAt_inter theorem HasDerivWithinAt.union (hs : HasDerivWithinAt f f' s x) (ht : HasDerivWithinAt f f' t x) : HasDerivWithinAt f f' (s ∪ t) x := hs.hasFDerivWithinAt.union ht.hasFDerivWithinAt #align has_deriv_within_at.union HasDerivWithinAt.union theorem HasDerivWithinAt.hasDerivAt (h : HasDerivWithinAt f f' s x) (hs : s ∈ 𝓝 x) : HasDerivAt f f' x := HasFDerivWithinAt.hasFDerivAt h hs #align has_deriv_within_at.has_deriv_at HasDerivWithinAt.hasDerivAt theorem DifferentiableWithinAt.hasDerivWithinAt (h : DifferentiableWithinAt 𝕜 f s x) : HasDerivWithinAt f (derivWithin f s x) s x := h.hasFDerivWithinAt.hasDerivWithinAt #align differentiable_within_at.has_deriv_within_at DifferentiableWithinAt.hasDerivWithinAt theorem DifferentiableAt.hasDerivAt (h : DifferentiableAt 𝕜 f x) : HasDerivAt f (deriv f x) x := h.hasFDerivAt.hasDerivAt #align differentiable_at.has_deriv_at DifferentiableAt.hasDerivAt @[simp] theorem hasDerivAt_deriv_iff : HasDerivAt f (deriv f x) x ↔ DifferentiableAt 𝕜 f x := ⟨fun h => h.differentiableAt, fun h => h.hasDerivAt⟩ #align has_deriv_at_deriv_iff hasDerivAt_deriv_iff @[simp] theorem hasDerivWithinAt_derivWithin_iff : HasDerivWithinAt f (derivWithin f s x) s x ↔ DifferentiableWithinAt 𝕜 f s x := ⟨fun h => h.differentiableWithinAt, fun h => h.hasDerivWithinAt⟩ #align has_deriv_within_at_deriv_within_iff hasDerivWithinAt_derivWithin_iff theorem DifferentiableOn.hasDerivAt (h : DifferentiableOn 𝕜 f s) (hs : s ∈ 𝓝 x) : HasDerivAt f (deriv f x) x := (h.hasFDerivAt hs).hasDerivAt #align differentiable_on.has_deriv_at DifferentiableOn.hasDerivAt theorem HasDerivAt.deriv (h : HasDerivAt f f' x) : deriv f x = f' := h.differentiableAt.hasDerivAt.unique h #align has_deriv_at.deriv HasDerivAt.deriv theorem deriv_eq {f' : 𝕜 → F} (h : ∀ x, HasDerivAt f (f' x) x) : deriv f = f' := funext fun x => (h x).deriv #align deriv_eq deriv_eq theorem HasDerivWithinAt.derivWithin (h : HasDerivWithinAt f f' s x) (hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin f s x = f' := hxs.eq_deriv _ h.differentiableWithinAt.hasDerivWithinAt h #align has_deriv_within_at.deriv_within HasDerivWithinAt.derivWithin theorem fderivWithin_derivWithin : (fderivWithin 𝕜 f s x : 𝕜 → F) 1 = derivWithin f s x := rfl #align fderiv_within_deriv_within fderivWithin_derivWithin theorem derivWithin_fderivWithin : smulRight (1 : 𝕜 →L[𝕜] 𝕜) (derivWithin f s x) = fderivWithin 𝕜 f s x := by simp [derivWithin] #align deriv_within_fderiv_within derivWithin_fderivWithin theorem norm_derivWithin_eq_norm_fderivWithin : ‖derivWithin f s x‖ = ‖fderivWithin 𝕜 f s x‖ := by simp [← derivWithin_fderivWithin] theorem fderiv_deriv : (fderiv 𝕜 f x : 𝕜 → F) 1 = deriv f x := rfl #align fderiv_deriv fderiv_deriv theorem deriv_fderiv : smulRight (1 : 𝕜 →L[𝕜] 𝕜) (deriv f x) = fderiv 𝕜 f x := by simp [deriv] #align deriv_fderiv deriv_fderiv theorem norm_deriv_eq_norm_fderiv : ‖deriv f x‖ = ‖fderiv 𝕜 f x‖ := by simp [← deriv_fderiv] theorem DifferentiableAt.derivWithin (h : DifferentiableAt 𝕜 f x) (hxs : UniqueDiffWithinAt 𝕜 s x) : derivWithin f s x = deriv f x := by unfold derivWithin deriv rw [h.fderivWithin hxs] #align differentiable_at.deriv_within DifferentiableAt.derivWithin theorem HasDerivWithinAt.deriv_eq_zero (hd : HasDerivWithinAt f 0 s x) (H : UniqueDiffWithinAt 𝕜 s x) : deriv f x = 0 := (em' (DifferentiableAt 𝕜 f x)).elim deriv_zero_of_not_differentiableAt fun h => H.eq_deriv _ h.hasDerivAt.hasDerivWithinAt hd #align has_deriv_within_at.deriv_eq_zero HasDerivWithinAt.deriv_eq_zero theorem derivWithin_of_mem (st : t ∈ 𝓝[s] x) (ht : UniqueDiffWithinAt 𝕜 s x) (h : DifferentiableWithinAt 𝕜 f t x) : derivWithin f s x = derivWithin f t x := ((DifferentiableWithinAt.hasDerivWithinAt h).mono_of_mem st).derivWithin ht #align deriv_within_of_mem derivWithin_of_mem theorem derivWithin_subset (st : s ⊆ t) (ht : UniqueDiffWithinAt 𝕜 s x) (h : DifferentiableWithinAt 𝕜 f t x) : derivWithin f s x = derivWithin f t x := ((DifferentiableWithinAt.hasDerivWithinAt h).mono st).derivWithin ht #align deriv_within_subset derivWithin_subset
Mathlib/Analysis/Calculus/Deriv/Basic.lean
509
510
theorem derivWithin_congr_set' (y : 𝕜) (h : s =ᶠ[𝓝[{y}ᶜ] x] t) : derivWithin f s x = derivWithin f t x := by
simp only [derivWithin, fderivWithin_congr_set' y h]
import Mathlib.Data.Set.Equitable import Mathlib.Logic.Equiv.Fin import Mathlib.Order.Partition.Finpartition #align_import order.partition.equipartition from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205" open Finset Fintype namespace Finpartition variable {α : Type*} [DecidableEq α] {s t : Finset α} (P : Finpartition s) def IsEquipartition : Prop := (P.parts : Set (Finset α)).EquitableOn card #align finpartition.is_equipartition Finpartition.IsEquipartition theorem isEquipartition_iff_card_parts_eq_average : P.IsEquipartition ↔ ∀ a : Finset α, a ∈ P.parts → a.card = s.card / P.parts.card ∨ a.card = s.card / P.parts.card + 1 := by simp_rw [IsEquipartition, Finset.equitableOn_iff, P.sum_card_parts] #align finpartition.is_equipartition_iff_card_parts_eq_average Finpartition.isEquipartition_iff_card_parts_eq_average variable {P} lemma not_isEquipartition : ¬P.IsEquipartition ↔ ∃ a ∈ P.parts, ∃ b ∈ P.parts, b.card + 1 < a.card := Set.not_equitableOn theorem _root_.Set.Subsingleton.isEquipartition (h : (P.parts : Set (Finset α)).Subsingleton) : P.IsEquipartition := Set.Subsingleton.equitableOn h _ #align finpartition.set.subsingleton.is_equipartition Set.Subsingleton.isEquipartition theorem IsEquipartition.card_parts_eq_average (hP : P.IsEquipartition) (ht : t ∈ P.parts) : t.card = s.card / P.parts.card ∨ t.card = s.card / P.parts.card + 1 := P.isEquipartition_iff_card_parts_eq_average.1 hP _ ht #align finpartition.is_equipartition.card_parts_eq_average Finpartition.IsEquipartition.card_parts_eq_average theorem IsEquipartition.card_part_eq_average_iff (hP : P.IsEquipartition) (ht : t ∈ P.parts) : t.card = s.card / P.parts.card ↔ t.card ≠ s.card / P.parts.card + 1 := by have a := hP.card_parts_eq_average ht have b : ¬(t.card = s.card / P.parts.card ∧ t.card = s.card / P.parts.card + 1) := by by_contra h; exact absurd (h.1 ▸ h.2) (lt_add_one _).ne tauto theorem IsEquipartition.average_le_card_part (hP : P.IsEquipartition) (ht : t ∈ P.parts) : s.card / P.parts.card ≤ t.card := by rw [← P.sum_card_parts] exact Finset.EquitableOn.le hP ht #align finpartition.is_equipartition.average_le_card_part Finpartition.IsEquipartition.average_le_card_part theorem IsEquipartition.card_part_le_average_add_one (hP : P.IsEquipartition) (ht : t ∈ P.parts) : t.card ≤ s.card / P.parts.card + 1 := by rw [← P.sum_card_parts] exact Finset.EquitableOn.le_add_one hP ht #align finpartition.is_equipartition.card_part_le_average_add_one Finpartition.IsEquipartition.card_part_le_average_add_one theorem IsEquipartition.filter_ne_average_add_one_eq_average (hP : P.IsEquipartition) : P.parts.filter (fun p ↦ ¬p.card = s.card / P.parts.card + 1) = P.parts.filter (fun p ↦ p.card = s.card / P.parts.card) := by ext p simp only [mem_filter, and_congr_right_iff] exact fun hp ↦ (hP.card_part_eq_average_iff hp).symm
Mathlib/Order/Partition/Equipartition.lean
89
100
theorem IsEquipartition.card_large_parts_eq_mod (hP : P.IsEquipartition) : (P.parts.filter fun p ↦ p.card = s.card / P.parts.card + 1).card = s.card % P.parts.card := by
have z := P.sum_card_parts rw [← sum_filter_add_sum_filter_not (s := P.parts) (p := fun x ↦ x.card = s.card / P.parts.card + 1), hP.filter_ne_average_add_one_eq_average, sum_const_nat (m := s.card / P.parts.card + 1) (by simp), sum_const_nat (m := s.card / P.parts.card) (by simp), ← hP.filter_ne_average_add_one_eq_average, mul_add, add_comm, ← add_assoc, ← add_mul, mul_one, add_comm (Finset.card _), filter_card_add_filter_neg_card_eq_card, add_comm] at z rw [← add_left_inj, Nat.mod_add_div, z]
import Mathlib.Data.Set.Image import Mathlib.Data.Set.Lattice #align_import data.set.sigma from "leanprover-community/mathlib"@"2258b40dacd2942571c8ce136215350c702dc78f" namespace Set variable {ι ι' : Type*} {α β : ι → Type*} {s s₁ s₂ : Set ι} {t t₁ t₂ : ∀ i, Set (α i)} {u : Set (Σ i, α i)} {x : Σ i, α i} {i j : ι} {a : α i} @[simp]
Mathlib/Data/Set/Sigma.lean
23
28
theorem range_sigmaMk (i : ι) : range (Sigma.mk i : α i → Sigma α) = Sigma.fst ⁻¹' {i} := by
apply Subset.antisymm · rintro _ ⟨b, rfl⟩ simp · rintro ⟨x, y⟩ (rfl | _) exact mem_range_self y
import Mathlib.Analysis.Calculus.LineDeriv.Basic import Mathlib.Analysis.Calculus.FDeriv.Measurable open MeasureTheory variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] [LocallyCompactSpace 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [MeasurableSpace E] [OpensMeasurableSpace E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] [CompleteSpace F] {f : E → F} {v : E} theorem measurableSet_lineDifferentiableAt (hf : Continuous f) : MeasurableSet {x : E | LineDifferentiableAt 𝕜 f x v} := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact measurable_prod_mk_right (measurableSet_of_differentiableAt_with_param 𝕜 hg) theorem measurable_lineDeriv [MeasurableSpace F] [BorelSpace F] (hf : Continuous f) : Measurable (fun x ↦ lineDeriv 𝕜 f x v) := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact (measurable_deriv_with_param hg).comp measurable_prod_mk_right theorem stronglyMeasurable_lineDeriv [SecondCountableTopologyEither E F] (hf : Continuous f) : StronglyMeasurable (fun x ↦ lineDeriv 𝕜 f x v) := by borelize 𝕜 let g : E → 𝕜 → F := fun x t ↦ f (x + t • v) have hg : Continuous g.uncurry := by apply hf.comp; continuity exact (stronglyMeasurable_deriv_with_param hg).comp_measurable measurable_prod_mk_right theorem aemeasurable_lineDeriv [MeasurableSpace F] [BorelSpace F] (hf : Continuous f) (μ : Measure E) : AEMeasurable (fun x ↦ lineDeriv 𝕜 f x v) μ := (measurable_lineDeriv hf).aemeasurable theorem aestronglyMeasurable_lineDeriv [SecondCountableTopologyEither E F] (hf : Continuous f) (μ : Measure E) : AEStronglyMeasurable (fun x ↦ lineDeriv 𝕜 f x v) μ := (stronglyMeasurable_lineDeriv hf).aestronglyMeasurable variable [SecondCountableTopology E] theorem measurableSet_lineDifferentiableAt_uncurry (hf : Continuous f) : MeasurableSet {p : E × E | LineDifferentiableAt 𝕜 f p.1 p.2} := by borelize 𝕜 let g : (E × E) → 𝕜 → F := fun p t ↦ f (p.1 + t • p.2) have : Continuous g.uncurry := hf.comp <| (continuous_fst.comp continuous_fst).add <| continuous_snd.smul (continuous_snd.comp continuous_fst) have M_meas : MeasurableSet {q : (E × E) × 𝕜 | DifferentiableAt 𝕜 (g q.1) q.2} := measurableSet_of_differentiableAt_with_param 𝕜 this exact measurable_prod_mk_right M_meas theorem measurable_lineDeriv_uncurry [MeasurableSpace F] [BorelSpace F] (hf : Continuous f) : Measurable (fun (p : E × E) ↦ lineDeriv 𝕜 f p.1 p.2) := by borelize 𝕜 let g : (E × E) → 𝕜 → F := fun p t ↦ f (p.1 + t • p.2) have : Continuous g.uncurry := hf.comp <| (continuous_fst.comp continuous_fst).add <| continuous_snd.smul (continuous_snd.comp continuous_fst) exact (measurable_deriv_with_param this).comp measurable_prod_mk_right
Mathlib/Analysis/Calculus/LineDeriv/Measurable.lean
92
99
theorem stronglyMeasurable_lineDeriv_uncurry (hf : Continuous f) : StronglyMeasurable (fun (p : E × E) ↦ lineDeriv 𝕜 f p.1 p.2) := by
borelize 𝕜 let g : (E × E) → 𝕜 → F := fun p t ↦ f (p.1 + t • p.2) have : Continuous g.uncurry := hf.comp <| (continuous_fst.comp continuous_fst).add <| continuous_snd.smul (continuous_snd.comp continuous_fst) exact (stronglyMeasurable_deriv_with_param this).comp_measurable measurable_prod_mk_right
import Mathlib.Analysis.SpecialFunctions.Complex.Log #align_import analysis.special_functions.pow.complex from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8" open scoped Classical open Real Topology Filter ComplexConjugate Finset Set namespace Complex noncomputable def cpow (x y : ℂ) : ℂ := if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) #align complex.cpow Complex.cpow noncomputable instance : Pow ℂ ℂ := ⟨cpow⟩ @[simp] theorem cpow_eq_pow (x y : ℂ) : cpow x y = x ^ y := rfl #align complex.cpow_eq_pow Complex.cpow_eq_pow theorem cpow_def (x y : ℂ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := rfl #align complex.cpow_def Complex.cpow_def theorem cpow_def_of_ne_zero {x : ℂ} (hx : x ≠ 0) (y : ℂ) : x ^ y = exp (log x * y) := if_neg hx #align complex.cpow_def_of_ne_zero Complex.cpow_def_of_ne_zero @[simp] theorem cpow_zero (x : ℂ) : x ^ (0 : ℂ) = 1 := by simp [cpow_def] #align complex.cpow_zero Complex.cpow_zero @[simp] theorem cpow_eq_zero_iff (x y : ℂ) : x ^ y = 0 ↔ x = 0 ∧ y ≠ 0 := by simp only [cpow_def] split_ifs <;> simp [*, exp_ne_zero] #align complex.cpow_eq_zero_iff Complex.cpow_eq_zero_iff @[simp] theorem zero_cpow {x : ℂ} (h : x ≠ 0) : (0 : ℂ) ^ x = 0 := by simp [cpow_def, *] #align complex.zero_cpow Complex.zero_cpow theorem zero_cpow_eq_iff {x : ℂ} {a : ℂ} : (0 : ℂ) ^ x = a ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by constructor · intro hyp simp only [cpow_def, eq_self_iff_true, if_true] at hyp by_cases h : x = 0 · subst h simp only [if_true, eq_self_iff_true] at hyp right exact ⟨rfl, hyp.symm⟩ · rw [if_neg h] at hyp left exact ⟨h, hyp.symm⟩ · rintro (⟨h, rfl⟩ | ⟨rfl, rfl⟩) · exact zero_cpow h · exact cpow_zero _ #align complex.zero_cpow_eq_iff Complex.zero_cpow_eq_iff theorem eq_zero_cpow_iff {x : ℂ} {a : ℂ} : a = (0 : ℂ) ^ x ↔ x ≠ 0 ∧ a = 0 ∨ x = 0 ∧ a = 1 := by rw [← zero_cpow_eq_iff, eq_comm] #align complex.eq_zero_cpow_iff Complex.eq_zero_cpow_iff @[simp] theorem cpow_one (x : ℂ) : x ^ (1 : ℂ) = x := if hx : x = 0 then by simp [hx, cpow_def] else by rw [cpow_def, if_neg (one_ne_zero : (1 : ℂ) ≠ 0), if_neg hx, mul_one, exp_log hx] #align complex.cpow_one Complex.cpow_one @[simp] theorem one_cpow (x : ℂ) : (1 : ℂ) ^ x = 1 := by rw [cpow_def] split_ifs <;> simp_all [one_ne_zero] #align complex.one_cpow Complex.one_cpow theorem cpow_add {x : ℂ} (y z : ℂ) (hx : x ≠ 0) : x ^ (y + z) = x ^ y * x ^ z := by simp only [cpow_def, ite_mul, boole_mul, mul_ite, mul_boole] simp_all [exp_add, mul_add] #align complex.cpow_add Complex.cpow_add theorem cpow_mul {x y : ℂ} (z : ℂ) (h₁ : -π < (log x * y).im) (h₂ : (log x * y).im ≤ π) : x ^ (y * z) = (x ^ y) ^ z := by simp only [cpow_def] split_ifs <;> simp_all [exp_ne_zero, log_exp h₁ h₂, mul_assoc] #align complex.cpow_mul Complex.cpow_mul theorem cpow_neg (x y : ℂ) : x ^ (-y) = (x ^ y)⁻¹ := by simp only [cpow_def, neg_eq_zero, mul_neg] split_ifs <;> simp [exp_neg] #align complex.cpow_neg Complex.cpow_neg
Mathlib/Analysis/SpecialFunctions/Pow/Complex.lean
107
108
theorem cpow_sub {x : ℂ} (y z : ℂ) (hx : x ≠ 0) : x ^ (y - z) = x ^ y / x ^ z := by
rw [sub_eq_add_neg, cpow_add _ _ hx, cpow_neg, div_eq_mul_inv]
import Mathlib.LinearAlgebra.Dimension.Finite import Mathlib.LinearAlgebra.Dimension.Constructions open Cardinal Submodule Set FiniteDimensional universe u v section Module variable {K : Type u} {V : Type v} [Ring K] [StrongRankCondition K] [AddCommGroup V] [Module K V] noncomputable def Basis.ofRankEqZero [Module.Free K V] {ι : Type*} [IsEmpty ι] (hV : Module.rank K V = 0) : Basis ι K V := haveI : Subsingleton V := by obtain ⟨_, b⟩ := Module.Free.exists_basis (R := K) (M := V) haveI := mk_eq_zero_iff.1 (hV ▸ b.mk_eq_rank'') exact b.repr.toEquiv.subsingleton Basis.empty _ #align basis.of_rank_eq_zero Basis.ofRankEqZero @[simp] theorem Basis.ofRankEqZero_apply [Module.Free K V] {ι : Type*} [IsEmpty ι] (hV : Module.rank K V = 0) (i : ι) : Basis.ofRankEqZero hV i = 0 := rfl #align basis.of_rank_eq_zero_apply Basis.ofRankEqZero_apply theorem le_rank_iff_exists_linearIndependent [Module.Free K V] {c : Cardinal} : c ≤ Module.rank K V ↔ ∃ s : Set V, #s = c ∧ LinearIndependent K ((↑) : s → V) := by haveI := nontrivial_of_invariantBasisNumber K constructor · intro h obtain ⟨κ, t'⟩ := Module.Free.exists_basis (R := K) (M := V) let t := t'.reindexRange have : LinearIndependent K ((↑) : Set.range t' → V) := by convert t.linearIndependent ext; exact (Basis.reindexRange_apply _ _).symm rw [← t.mk_eq_rank'', le_mk_iff_exists_subset] at h rcases h with ⟨s, hst, hsc⟩ exact ⟨s, hsc, this.mono hst⟩ · rintro ⟨s, rfl, si⟩ exact si.cardinal_le_rank #align le_rank_iff_exists_linear_independent le_rank_iff_exists_linearIndependent theorem le_rank_iff_exists_linearIndependent_finset [Module.Free K V] {n : ℕ} : ↑n ≤ Module.rank K V ↔ ∃ s : Finset V, s.card = n ∧ LinearIndependent K ((↑) : ↥(s : Set V) → V) := by simp only [le_rank_iff_exists_linearIndependent, mk_set_eq_nat_iff_finset] constructor · rintro ⟨s, ⟨t, rfl, rfl⟩, si⟩ exact ⟨t, rfl, si⟩ · rintro ⟨s, rfl, si⟩ exact ⟨s, ⟨s, rfl, rfl⟩, si⟩ #align le_rank_iff_exists_linear_independent_finset le_rank_iff_exists_linearIndependent_finset theorem rank_le_one_iff [Module.Free K V] : Module.rank K V ≤ 1 ↔ ∃ v₀ : V, ∀ v, ∃ r : K, r • v₀ = v := by obtain ⟨κ, b⟩ := Module.Free.exists_basis (R := K) (M := V) constructor · intro hd rw [← b.mk_eq_rank'', le_one_iff_subsingleton] at hd rcases isEmpty_or_nonempty κ with hb | ⟨⟨i⟩⟩ · use 0 have h' : ∀ v : V, v = 0 := by simpa [range_eq_empty, Submodule.eq_bot_iff] using b.span_eq.symm intro v simp [h' v] · use b i have h' : (K ∙ b i) = ⊤ := (subsingleton_range b).eq_singleton_of_mem (mem_range_self i) ▸ b.span_eq intro v have hv : v ∈ (⊤ : Submodule K V) := mem_top rwa [← h', mem_span_singleton] at hv · rintro ⟨v₀, hv₀⟩ have h : (K ∙ v₀) = ⊤ := by ext simp [mem_span_singleton, hv₀] rw [← rank_top, ← h] refine (rank_span_le _).trans_eq ?_ simp #align rank_le_one_iff rank_le_one_iff theorem rank_eq_one_iff [Module.Free K V] : Module.rank K V = 1 ↔ ∃ v₀ : V, v₀ ≠ 0 ∧ ∀ v, ∃ r : K, r • v₀ = v := by haveI := nontrivial_of_invariantBasisNumber K refine ⟨fun h ↦ ?_, fun ⟨v₀, h, hv⟩ ↦ (rank_le_one_iff.2 ⟨v₀, hv⟩).antisymm ?_⟩ · obtain ⟨v₀, hv⟩ := rank_le_one_iff.1 h.le refine ⟨v₀, fun hzero ↦ ?_, hv⟩ simp_rw [hzero, smul_zero, exists_const] at hv haveI : Subsingleton V := .intro fun _ _ ↦ by simp_rw [← hv] exact one_ne_zero (h ▸ rank_subsingleton' K V) · by_contra H rw [not_le, lt_one_iff_zero] at H obtain ⟨κ, b⟩ := Module.Free.exists_basis (R := K) (M := V) haveI := mk_eq_zero_iff.1 (H ▸ b.mk_eq_rank'') haveI := b.repr.toEquiv.subsingleton exact h (Subsingleton.elim _ _) theorem rank_submodule_le_one_iff (s : Submodule K V) [Module.Free K s] : Module.rank K s ≤ 1 ↔ ∃ v₀ ∈ s, s ≤ K ∙ v₀ := by simp_rw [rank_le_one_iff, le_span_singleton_iff] constructor · rintro ⟨⟨v₀, hv₀⟩, h⟩ use v₀, hv₀ intro v hv obtain ⟨r, hr⟩ := h ⟨v, hv⟩ use r rwa [Subtype.ext_iff, coe_smul] at hr · rintro ⟨v₀, hv₀, h⟩ use ⟨v₀, hv₀⟩ rintro ⟨v, hv⟩ obtain ⟨r, hr⟩ := h v hv use r rwa [Subtype.ext_iff, coe_smul] #align rank_submodule_le_one_iff rank_submodule_le_one_iff theorem rank_submodule_eq_one_iff (s : Submodule K V) [Module.Free K s] : Module.rank K s = 1 ↔ ∃ v₀ ∈ s, v₀ ≠ 0 ∧ s ≤ K ∙ v₀ := by simp_rw [rank_eq_one_iff, le_span_singleton_iff] refine ⟨fun ⟨⟨v₀, hv₀⟩, H, h⟩ ↦ ⟨v₀, hv₀, fun h' ↦ by simp [h'] at H, fun v hv ↦ ?_⟩, fun ⟨v₀, hv₀, H, h⟩ ↦ ⟨⟨v₀, hv₀⟩, fun h' ↦ H (by simpa using h'), fun ⟨v, hv⟩ ↦ ?_⟩⟩ · obtain ⟨r, hr⟩ := h ⟨v, hv⟩ exact ⟨r, by rwa [Subtype.ext_iff, coe_smul] at hr⟩ · obtain ⟨r, hr⟩ := h v hv exact ⟨r, by rwa [Subtype.ext_iff, coe_smul]⟩ theorem rank_submodule_le_one_iff' (s : Submodule K V) [Module.Free K s] : Module.rank K s ≤ 1 ↔ ∃ v₀, s ≤ K ∙ v₀ := by haveI := nontrivial_of_invariantBasisNumber K constructor · rw [rank_submodule_le_one_iff] rintro ⟨v₀, _, h⟩ exact ⟨v₀, h⟩ · rintro ⟨v₀, h⟩ obtain ⟨κ, b⟩ := Module.Free.exists_basis (R := K) (M := s) simpa [b.mk_eq_rank''] using b.linearIndependent.map' _ (ker_inclusion _ _ h) |>.cardinal_le_rank.trans (rank_span_le {v₀}) #align rank_submodule_le_one_iff' rank_submodule_le_one_iff' theorem Submodule.rank_le_one_iff_isPrincipal (W : Submodule K V) [Module.Free K W] : Module.rank K W ≤ 1 ↔ W.IsPrincipal := by simp only [rank_le_one_iff, Submodule.isPrincipal_iff, le_antisymm_iff, le_span_singleton_iff, span_singleton_le_iff_mem] constructor · rintro ⟨⟨m, hm⟩, hm'⟩ choose f hf using hm' exact ⟨m, ⟨fun v hv => ⟨f ⟨v, hv⟩, congr_arg ((↑) : W → V) (hf ⟨v, hv⟩)⟩, hm⟩⟩ · rintro ⟨a, ⟨h, ha⟩⟩ choose f hf using h exact ⟨⟨a, ha⟩, fun v => ⟨f v.1 v.2, Subtype.ext (hf v.1 v.2)⟩⟩ #align submodule.rank_le_one_iff_is_principal Submodule.rank_le_one_iff_isPrincipal
Mathlib/LinearAlgebra/Dimension/FreeAndStrongRankCondition.lean
184
187
theorem Module.rank_le_one_iff_top_isPrincipal [Module.Free K V] : Module.rank K V ≤ 1 ↔ (⊤ : Submodule K V).IsPrincipal := by
haveI := Module.Free.of_equiv (topEquiv (R := K) (M := V)).symm rw [← Submodule.rank_le_one_iff_isPrincipal, rank_top]
import Mathlib.Logic.Relation import Mathlib.Data.Option.Basic import Mathlib.Data.Seq.Seq #align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace Stream' open Function universe u v w def WSeq (α) := Seq (Option α) #align stream.wseq Stream'.WSeq namespace WSeq variable {α : Type u} {β : Type v} {γ : Type w} @[coe] def ofSeq : Seq α → WSeq α := (· <$> ·) some #align stream.wseq.of_seq Stream'.WSeq.ofSeq @[coe] def ofList (l : List α) : WSeq α := ofSeq l #align stream.wseq.of_list Stream'.WSeq.ofList @[coe] def ofStream (l : Stream' α) : WSeq α := ofSeq l #align stream.wseq.of_stream Stream'.WSeq.ofStream instance coeSeq : Coe (Seq α) (WSeq α) := ⟨ofSeq⟩ #align stream.wseq.coe_seq Stream'.WSeq.coeSeq instance coeList : Coe (List α) (WSeq α) := ⟨ofList⟩ #align stream.wseq.coe_list Stream'.WSeq.coeList instance coeStream : Coe (Stream' α) (WSeq α) := ⟨ofStream⟩ #align stream.wseq.coe_stream Stream'.WSeq.coeStream def nil : WSeq α := Seq.nil #align stream.wseq.nil Stream'.WSeq.nil instance inhabited : Inhabited (WSeq α) := ⟨nil⟩ #align stream.wseq.inhabited Stream'.WSeq.inhabited def cons (a : α) : WSeq α → WSeq α := Seq.cons (some a) #align stream.wseq.cons Stream'.WSeq.cons def think : WSeq α → WSeq α := Seq.cons none #align stream.wseq.think Stream'.WSeq.think def destruct : WSeq α → Computation (Option (α × WSeq α)) := Computation.corec fun s => match Seq.destruct s with | none => Sum.inl none | some (none, s') => Sum.inr s' | some (some a, s') => Sum.inl (some (a, s')) #align stream.wseq.destruct Stream'.WSeq.destruct def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s)) (h3 : ∀ s, C (think s)) : C s := Seq.recOn s h1 fun o => Option.recOn o h3 h2 #align stream.wseq.rec_on Stream'.WSeq.recOn protected def Mem (a : α) (s : WSeq α) := Seq.Mem (some a) s #align stream.wseq.mem Stream'.WSeq.Mem instance membership : Membership α (WSeq α) := ⟨WSeq.Mem⟩ #align stream.wseq.has_mem Stream'.WSeq.membership theorem not_mem_nil (a : α) : a ∉ @nil α := Seq.not_mem_nil (some a) #align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil def head (s : WSeq α) : Computation (Option α) := Computation.map (Prod.fst <$> ·) (destruct s) #align stream.wseq.head Stream'.WSeq.head def flatten : Computation (WSeq α) → WSeq α := Seq.corec fun c => match Computation.destruct c with | Sum.inl s => Seq.omap (return ·) (Seq.destruct s) | Sum.inr c' => some (none, c') #align stream.wseq.flatten Stream'.WSeq.flatten def tail (s : WSeq α) : WSeq α := flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s #align stream.wseq.tail Stream'.WSeq.tail def drop (s : WSeq α) : ℕ → WSeq α | 0 => s | n + 1 => tail (drop s n) #align stream.wseq.drop Stream'.WSeq.drop def get? (s : WSeq α) (n : ℕ) : Computation (Option α) := head (drop s n) #align stream.wseq.nth Stream'.WSeq.get? def toList (s : WSeq α) : Computation (List α) := @Computation.corec (List α) (List α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) ([], s) #align stream.wseq.to_list Stream'.WSeq.toList def length (s : WSeq α) : Computation ℕ := @Computation.corec ℕ (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s with | none => Sum.inl n | some (none, s') => Sum.inr (n, s') | some (some _, s') => Sum.inr (n + 1, s')) (0, s) #align stream.wseq.length Stream'.WSeq.length class IsFinite (s : WSeq α) : Prop where out : (toList s).Terminates #align stream.wseq.is_finite Stream'.WSeq.IsFinite instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates := h.out #align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates def get (s : WSeq α) [IsFinite s] : List α := (toList s).get #align stream.wseq.get Stream'.WSeq.get class Productive (s : WSeq α) : Prop where get?_terminates : ∀ n, (get? s n).Terminates #align stream.wseq.productive Stream'.WSeq.Productive #align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align stream.wseq.productive_iff Stream'.WSeq.productive_iff instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates := h.get?_terminates #align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates := s.get?_terminates 0 #align stream.wseq.head_terminates Stream'.WSeq.head_terminates def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (some a, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.update_nth Stream'.WSeq.updateNth def removeNth (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (none, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.remove_nth Stream'.WSeq.removeNth def filterMap (f : α → Option β) : WSeq α → WSeq β := Seq.corec fun s => match Seq.destruct s with | none => none | some (none, s') => some (none, s') | some (some a, s') => some (f a, s') #align stream.wseq.filter_map Stream'.WSeq.filterMap def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α := filterMap fun a => if p a then some a else none #align stream.wseq.filter Stream'.WSeq.filter -- example of infinite list manipulations def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) := head <| filter p s #align stream.wseq.find Stream'.WSeq.find def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ := @Seq.corec (Option γ) (WSeq α × WSeq β) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some _, _), some (none, s2') => some (none, s1, s2') | some (none, s1'), some (some _, _) => some (none, s1', s2) | some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2') | _, _ => none) (s1, s2) #align stream.wseq.zip_with Stream'.WSeq.zipWith def zip : WSeq α → WSeq β → WSeq (α × β) := zipWith Prod.mk #align stream.wseq.zip Stream'.WSeq.zip def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ := (zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none #align stream.wseq.find_indexes Stream'.WSeq.findIndexes def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ := (fun o => Option.getD o 0) <$> head (findIndexes p s) #align stream.wseq.find_index Stream'.WSeq.findIndex def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ := findIndex (Eq a) #align stream.wseq.index_of Stream'.WSeq.indexOf def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ := findIndexes (Eq a) #align stream.wseq.indexes_of Stream'.WSeq.indexesOf def union (s1 s2 : WSeq α) : WSeq α := @Seq.corec (Option α) (WSeq α × WSeq α) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | none, none => none | some (a1, s1'), none => some (a1, s1', nil) | none, some (a2, s2') => some (a2, nil, s2') | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some a1, s1'), some (none, s2') => some (some a1, s1', s2') | some (none, s1'), some (some a2, s2') => some (some a2, s1', s2') | some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2')) (s1, s2) #align stream.wseq.union Stream'.WSeq.union def isEmpty (s : WSeq α) : Computation Bool := Computation.map Option.isNone <| head s #align stream.wseq.is_empty Stream'.WSeq.isEmpty def compute (s : WSeq α) : WSeq α := match Seq.destruct s with | some (none, s') => s' | _ => s #align stream.wseq.compute Stream'.WSeq.compute def take (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match n, Seq.destruct s with | 0, _ => none | _ + 1, none => none | m + 1, some (none, s') => some (none, m + 1, s') | m + 1, some (some a, s') => some (some a, m, s')) (n, s) #align stream.wseq.take Stream'.WSeq.take def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) := @Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α) (fun ⟨n, l, s⟩ => match n, Seq.destruct s with | 0, _ => Sum.inl (l.reverse, s) | _ + 1, none => Sum.inl (l.reverse, s) | _ + 1, some (none, s') => Sum.inr (n, l, s') | m + 1, some (some a, s') => Sum.inr (m, a::l, s')) (n, [], s) #align stream.wseq.split_at Stream'.WSeq.splitAt def any (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl false | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inl true else Sum.inr s') s #align stream.wseq.any Stream'.WSeq.any def all (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl true | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inr s' else Sum.inl false) s #align stream.wseq.all Stream'.WSeq.all def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α := cons a <| @Seq.corec (Option α) (α × WSeq β) (fun ⟨a, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, a, s') | some (some b, s') => let a' := f a b some (some a', a', s')) (a, s) #align stream.wseq.scanl Stream'.WSeq.scanl def inits (s : WSeq α) : WSeq (List α) := cons [] <| @Seq.corec (Option (List α)) (Batteries.DList α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, l, s') | some (some a, s') => let l' := l.push a some (some l'.toList, l', s')) (Batteries.DList.empty, s) #align stream.wseq.inits Stream'.WSeq.inits def collect (s : WSeq α) (n : ℕ) : List α := (Seq.take n s).filterMap id #align stream.wseq.collect Stream'.WSeq.collect def append : WSeq α → WSeq α → WSeq α := Seq.append #align stream.wseq.append Stream'.WSeq.append def map (f : α → β) : WSeq α → WSeq β := Seq.map (Option.map f) #align stream.wseq.map Stream'.WSeq.map def join (S : WSeq (WSeq α)) : WSeq α := Seq.join ((fun o : Option (WSeq α) => match o with | none => Seq1.ret none | some s => (none, s)) <$> S) #align stream.wseq.join Stream'.WSeq.join def bind (s : WSeq α) (f : α → WSeq β) : WSeq β := join (map f s) #align stream.wseq.bind Stream'.WSeq.bind @[simp] def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) : Option (α × WSeq α) → Option (β × WSeq β) → Prop | none, none => True | some (a, s), some (b, t) => R a b ∧ C s t | _, _ => False #align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b) (H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p | none, none, _ => trivial | some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h | none, some _, h => False.elim h | some (_, _), none, h => False.elim h #align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop} (H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p := LiftRelO.imp (fun _ _ => id) H #align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right @[simp] def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop := LiftRelO (· = ·) R #align stream.wseq.bisim_o Stream'.WSeq.BisimO theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} : BisimO R o p → BisimO S o p := LiftRelO.imp_right _ H #align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop := ∃ C : WSeq α → WSeq β → Prop, C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t) #align stream.wseq.lift_rel Stream'.WSeq.LiftRel def Equiv : WSeq α → WSeq α → Prop := LiftRel (· = ·) #align stream.wseq.equiv Stream'.WSeq.Equiv theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) | ⟨R, h1, h2⟩ => by refine Computation.LiftRel.imp ?_ _ _ (h2 h1) apply LiftRelO.imp_right exact fun s' t' h' => ⟨R, h', @h2⟩ #align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := ⟨liftRel_destruct, fun h => ⟨fun s t => LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t), Or.inr h, fun {s t} h => by have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by cases' h with h h · exact liftRel_destruct h · assumption apply Computation.LiftRel.imp _ _ _ h intro a b apply LiftRelO.imp_right intro s t apply Or.inl⟩⟩ #align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff -- Porting note: To avoid ambiguous notation, `~` became `~ʷ`. infixl:50 " ~ʷ " => Equiv theorem destruct_congr {s t : WSeq α} : s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct #align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr theorem destruct_congr_iff {s t : WSeq α} : s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct_iff #align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩ rw [← h] apply Computation.LiftRel.refl intro a cases' a with a · simp · cases a simp only [LiftRelO, and_true] apply H #align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl theorem LiftRelO.swap (R : α → β → Prop) (C) : swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by funext x y rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl #align stream.wseq.lift_rel_o.swap Stream'.WSeq.LiftRelO.swap theorem LiftRel.swap_lem {R : α → β → Prop} {s1 s2} (h : LiftRel R s1 s2) : LiftRel (swap R) s2 s1 := by refine ⟨swap (LiftRel R), h, fun {s t} (h : LiftRel R t s) => ?_⟩ rw [← LiftRelO.swap, Computation.LiftRel.swap] apply liftRel_destruct h #align stream.wseq.lift_rel.swap_lem Stream'.WSeq.LiftRel.swap_lem theorem LiftRel.swap (R : α → β → Prop) : swap (LiftRel R) = LiftRel (swap R) := funext fun _ => funext fun _ => propext ⟨LiftRel.swap_lem, LiftRel.swap_lem⟩ #align stream.wseq.lift_rel.swap Stream'.WSeq.LiftRel.swap theorem LiftRel.symm (R : α → α → Prop) (H : Symmetric R) : Symmetric (LiftRel R) := fun s1 s2 (h : Function.swap (LiftRel R) s2 s1) => by rwa [LiftRel.swap, H.swap_eq] at h #align stream.wseq.lift_rel.symm Stream'.WSeq.LiftRel.symm theorem LiftRel.trans (R : α → α → Prop) (H : Transitive R) : Transitive (LiftRel R) := fun s t u h1 h2 => by refine ⟨fun s u => ∃ t, LiftRel R s t ∧ LiftRel R t u, ⟨t, h1, h2⟩, fun {s u} h => ?_⟩ rcases h with ⟨t, h1, h2⟩ have h1 := liftRel_destruct h1 have h2 := liftRel_destruct h2 refine Computation.liftRel_def.2 ⟨(Computation.terminates_of_liftRel h1).trans (Computation.terminates_of_liftRel h2), fun {a c} ha hc => ?_⟩ rcases h1.left ha with ⟨b, hb, t1⟩ have t2 := Computation.rel_of_liftRel h2 hb hc cases' a with a <;> cases' c with c · trivial · cases b · cases t2 · cases t1 · cases a cases' b with b · cases t1 · cases b cases t2 · cases' a with a s cases' b with b · cases t1 cases' b with b t cases' c with c u cases' t1 with ab st cases' t2 with bc tu exact ⟨H ab bc, t, st, tu⟩ #align stream.wseq.lift_rel.trans Stream'.WSeq.LiftRel.trans theorem LiftRel.equiv (R : α → α → Prop) : Equivalence R → Equivalence (LiftRel R) | ⟨refl, symm, trans⟩ => ⟨LiftRel.refl R refl, @(LiftRel.symm R @symm), @(LiftRel.trans R @trans)⟩ #align stream.wseq.lift_rel.equiv Stream'.WSeq.LiftRel.equiv @[refl] theorem Equiv.refl : ∀ s : WSeq α, s ~ʷ s := LiftRel.refl (· = ·) Eq.refl #align stream.wseq.equiv.refl Stream'.WSeq.Equiv.refl @[symm] theorem Equiv.symm : ∀ {s t : WSeq α}, s ~ʷ t → t ~ʷ s := @(LiftRel.symm (· = ·) (@Eq.symm _)) #align stream.wseq.equiv.symm Stream'.WSeq.Equiv.symm @[trans] theorem Equiv.trans : ∀ {s t u : WSeq α}, s ~ʷ t → t ~ʷ u → s ~ʷ u := @(LiftRel.trans (· = ·) (@Eq.trans _)) #align stream.wseq.equiv.trans Stream'.WSeq.Equiv.trans theorem Equiv.equivalence : Equivalence (@Equiv α) := ⟨@Equiv.refl _, @Equiv.symm _, @Equiv.trans _⟩ #align stream.wseq.equiv.equivalence Stream'.WSeq.Equiv.equivalence open Computation @[simp] theorem destruct_nil : destruct (nil : WSeq α) = Computation.pure none := Computation.destruct_eq_pure rfl #align stream.wseq.destruct_nil Stream'.WSeq.destruct_nil @[simp] theorem destruct_cons (a : α) (s) : destruct (cons a s) = Computation.pure (some (a, s)) := Computation.destruct_eq_pure <| by simp [destruct, cons, Computation.rmap] #align stream.wseq.destruct_cons Stream'.WSeq.destruct_cons @[simp] theorem destruct_think (s : WSeq α) : destruct (think s) = (destruct s).think := Computation.destruct_eq_think <| by simp [destruct, think, Computation.rmap] #align stream.wseq.destruct_think Stream'.WSeq.destruct_think @[simp] theorem seq_destruct_nil : Seq.destruct (nil : WSeq α) = none := Seq.destruct_nil #align stream.wseq.seq_destruct_nil Stream'.WSeq.seq_destruct_nil @[simp] theorem seq_destruct_cons (a : α) (s) : Seq.destruct (cons a s) = some (some a, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_cons Stream'.WSeq.seq_destruct_cons @[simp] theorem seq_destruct_think (s : WSeq α) : Seq.destruct (think s) = some (none, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_think Stream'.WSeq.seq_destruct_think @[simp] theorem head_nil : head (nil : WSeq α) = Computation.pure none := by simp [head] #align stream.wseq.head_nil Stream'.WSeq.head_nil @[simp] theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by simp [head] #align stream.wseq.head_cons Stream'.WSeq.head_cons @[simp] theorem head_think (s : WSeq α) : head (think s) = (head s).think := by simp [head] #align stream.wseq.head_think Stream'.WSeq.head_think @[simp] theorem flatten_pure (s : WSeq α) : flatten (Computation.pure s) = s := by refine Seq.eq_of_bisim (fun s1 s2 => flatten (Computation.pure s2) = s1) ?_ rfl intro s' s h rw [← h] simp only [Seq.BisimO, flatten, Seq.omap, pure_def, Seq.corec_eq, destruct_pure] cases Seq.destruct s with | none => simp | some val => cases' val with o s' simp #align stream.wseq.flatten_ret Stream'.WSeq.flatten_pure @[simp] theorem flatten_think (c : Computation (WSeq α)) : flatten c.think = think (flatten c) := Seq.destruct_eq_cons <| by simp [flatten, think] #align stream.wseq.flatten_think Stream'.WSeq.flatten_think @[simp] theorem destruct_flatten (c : Computation (WSeq α)) : destruct (flatten c) = c >>= destruct := by refine Computation.eq_of_bisim (fun c1 c2 => c1 = c2 ∨ ∃ c, c1 = destruct (flatten c) ∧ c2 = Computation.bind c destruct) ?_ (Or.inr ⟨c, rfl, rfl⟩) intro c1 c2 h exact match c1, c2, h with | c, _, Or.inl rfl => by cases c.destruct <;> simp | _, _, Or.inr ⟨c, rfl, rfl⟩ => by induction' c using Computation.recOn with a c' <;> simp · cases (destruct a).destruct <;> simp · exact Or.inr ⟨c', rfl, rfl⟩ #align stream.wseq.destruct_flatten Stream'.WSeq.destruct_flatten theorem head_terminates_iff (s : WSeq α) : Terminates (head s) ↔ Terminates (destruct s) := terminates_map_iff _ (destruct s) #align stream.wseq.head_terminates_iff Stream'.WSeq.head_terminates_iff @[simp] theorem tail_nil : tail (nil : WSeq α) = nil := by simp [tail] #align stream.wseq.tail_nil Stream'.WSeq.tail_nil @[simp] theorem tail_cons (a : α) (s) : tail (cons a s) = s := by simp [tail] #align stream.wseq.tail_cons Stream'.WSeq.tail_cons @[simp] theorem tail_think (s : WSeq α) : tail (think s) = (tail s).think := by simp [tail] #align stream.wseq.tail_think Stream'.WSeq.tail_think @[simp] theorem dropn_nil (n) : drop (nil : WSeq α) n = nil := by induction n <;> simp [*, drop] #align stream.wseq.dropn_nil Stream'.WSeq.dropn_nil @[simp] theorem dropn_cons (a : α) (s) (n) : drop (cons a s) (n + 1) = drop s n := by induction n with | zero => simp [drop] | succ n n_ih => -- porting note (#10745): was `simp [*, drop]`. simp [drop, ← n_ih] #align stream.wseq.dropn_cons Stream'.WSeq.dropn_cons @[simp] theorem dropn_think (s : WSeq α) (n) : drop (think s) n = (drop s n).think := by induction n <;> simp [*, drop] #align stream.wseq.dropn_think Stream'.WSeq.dropn_think theorem dropn_add (s : WSeq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n | 0 => rfl | n + 1 => congr_arg tail (dropn_add s m n) #align stream.wseq.dropn_add Stream'.WSeq.dropn_add theorem dropn_tail (s : WSeq α) (n) : drop (tail s) n = drop s (n + 1) := by rw [Nat.add_comm] symm apply dropn_add #align stream.wseq.dropn_tail Stream'.WSeq.dropn_tail theorem get?_add (s : WSeq α) (m n) : get? s (m + n) = get? (drop s m) n := congr_arg head (dropn_add _ _ _) #align stream.wseq.nth_add Stream'.WSeq.get?_add theorem get?_tail (s : WSeq α) (n) : get? (tail s) n = get? s (n + 1) := congr_arg head (dropn_tail _ _) #align stream.wseq.nth_tail Stream'.WSeq.get?_tail @[simp] theorem join_nil : join nil = (nil : WSeq α) := Seq.join_nil #align stream.wseq.join_nil Stream'.WSeq.join_nil @[simp] theorem join_think (S : WSeq (WSeq α)) : join (think S) = think (join S) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, Seq1.ret] #align stream.wseq.join_think Stream'.WSeq.join_think @[simp]
Mathlib/Data/Seq/WSeq.lean
766
769
theorem join_cons (s : WSeq α) (S) : join (cons s S) = think (append s (join S)) := by
simp only [join, think] dsimp only [(· <$> ·)] simp [join, cons, append]
import Mathlib.Probability.ConditionalProbability import Mathlib.MeasureTheory.Measure.Count #align_import probability.cond_count from "leanprover-community/mathlib"@"117e93f82b5f959f8193857370109935291f0cc4" noncomputable section open ProbabilityTheory open MeasureTheory MeasurableSpace namespace ProbabilityTheory variable {Ω : Type*} [MeasurableSpace Ω] def condCount (s : Set Ω) : Measure Ω := Measure.count[|s] #align probability_theory.cond_count ProbabilityTheory.condCount @[simp] theorem condCount_empty_meas : (condCount ∅ : Measure Ω) = 0 := by simp [condCount] #align probability_theory.cond_count_empty_meas ProbabilityTheory.condCount_empty_meas theorem condCount_empty {s : Set Ω} : condCount s ∅ = 0 := by simp #align probability_theory.cond_count_empty ProbabilityTheory.condCount_empty
Mathlib/Probability/CondCount.lean
65
67
theorem finite_of_condCount_ne_zero {s t : Set Ω} (h : condCount s t ≠ 0) : s.Finite := by
by_contra hs' simp [condCount, cond, Measure.count_apply_infinite hs'] at h
import Mathlib.CategoryTheory.Generator import Mathlib.CategoryTheory.Preadditive.Yoneda.Basic #align_import category_theory.preadditive.generator from "leanprover-community/mathlib"@"09f981f72d43749f1fa072deade828d9c1e185bb" universe v u open CategoryTheory Opposite namespace CategoryTheory variable {C : Type u} [Category.{v} C] [Preadditive C] theorem Preadditive.isSeparating_iff (𝒢 : Set C) : IsSeparating 𝒢 ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : G ⟶ X), h ≫ f = 0) → f = 0 := ⟨fun h𝒢 X Y f hf => h𝒢 _ _ (by simpa only [Limits.comp_zero] using hf), fun h𝒢 X Y f g hfg => sub_eq_zero.1 <| h𝒢 _ (by simpa only [Preadditive.comp_sub, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_separating_iff CategoryTheory.Preadditive.isSeparating_iff theorem Preadditive.isCoseparating_iff (𝒢 : Set C) : IsCoseparating 𝒢 ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ G ∈ 𝒢, ∀ (h : Y ⟶ G), f ≫ h = 0) → f = 0 := ⟨fun h𝒢 X Y f hf => h𝒢 _ _ (by simpa only [Limits.zero_comp] using hf), fun h𝒢 X Y f g hfg => sub_eq_zero.1 <| h𝒢 _ (by simpa only [Preadditive.sub_comp, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_coseparating_iff CategoryTheory.Preadditive.isCoseparating_iff theorem Preadditive.isSeparator_iff (G : C) : IsSeparator G ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ h : G ⟶ X, h ≫ f = 0) → f = 0 := ⟨fun hG X Y f hf => hG.def _ _ (by simpa only [Limits.comp_zero] using hf), fun hG => (isSeparator_def _).2 fun X Y f g hfg => sub_eq_zero.1 <| hG _ (by simpa only [Preadditive.comp_sub, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_separator_iff CategoryTheory.Preadditive.isSeparator_iff theorem Preadditive.isCoseparator_iff (G : C) : IsCoseparator G ↔ ∀ ⦃X Y : C⦄ (f : X ⟶ Y), (∀ h : Y ⟶ G, f ≫ h = 0) → f = 0 := ⟨fun hG X Y f hf => hG.def _ _ (by simpa only [Limits.zero_comp] using hf), fun hG => (isCoseparator_def _).2 fun X Y f g hfg => sub_eq_zero.1 <| hG _ (by simpa only [Preadditive.sub_comp, sub_eq_zero] using hfg)⟩ #align category_theory.preadditive.is_coseparator_iff CategoryTheory.Preadditive.isCoseparator_iff theorem isSeparator_iff_faithful_preadditiveCoyoneda (G : C) : IsSeparator G ↔ (preadditiveCoyoneda.obj (op G)).Faithful := by rw [isSeparator_iff_faithful_coyoneda_obj, ← whiskering_preadditiveCoyoneda, Functor.comp_obj, whiskeringRight_obj_obj] exact ⟨fun h => Functor.Faithful.of_comp _ (forget AddCommGroupCat), fun h => Functor.Faithful.comp _ _⟩ #align category_theory.is_separator_iff_faithful_preadditive_coyoneda CategoryTheory.isSeparator_iff_faithful_preadditiveCoyoneda
Mathlib/CategoryTheory/Preadditive/Generator.lean
62
66
theorem isSeparator_iff_faithful_preadditiveCoyonedaObj (G : C) : IsSeparator G ↔ (preadditiveCoyonedaObj (op G)).Faithful := by
rw [isSeparator_iff_faithful_preadditiveCoyoneda, preadditiveCoyoneda_obj] exact ⟨fun h => Functor.Faithful.of_comp _ (forget₂ _ AddCommGroupCat.{v}), fun h => Functor.Faithful.comp _ _⟩
import Mathlib.Algebra.Associated import Mathlib.Algebra.Order.Monoid.Unbundled.Pow import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Factorial.Basic import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Bounds.Basic #align_import data.nat.prime from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Bool Subtype open Nat namespace Nat variable {n : ℕ} -- Porting note (#11180): removed @[pp_nodot] def Prime (p : ℕ) := Irreducible p #align nat.prime Nat.Prime theorem irreducible_iff_nat_prime (a : ℕ) : Irreducible a ↔ Nat.Prime a := Iff.rfl #align irreducible_iff_nat_prime Nat.irreducible_iff_nat_prime @[aesop safe destruct] theorem not_prime_zero : ¬Prime 0 | h => h.ne_zero rfl #align nat.not_prime_zero Nat.not_prime_zero @[aesop safe destruct] theorem not_prime_one : ¬Prime 1 | h => h.ne_one rfl #align nat.not_prime_one Nat.not_prime_one theorem Prime.ne_zero {n : ℕ} (h : Prime n) : n ≠ 0 := Irreducible.ne_zero h #align nat.prime.ne_zero Nat.Prime.ne_zero theorem Prime.pos {p : ℕ} (pp : Prime p) : 0 < p := Nat.pos_of_ne_zero pp.ne_zero #align nat.prime.pos Nat.Prime.pos theorem Prime.two_le : ∀ {p : ℕ}, Prime p → 2 ≤ p | 0, h => (not_prime_zero h).elim | 1, h => (not_prime_one h).elim | _ + 2, _ => le_add_self #align nat.prime.two_le Nat.Prime.two_le theorem Prime.one_lt {p : ℕ} : Prime p → 1 < p := Prime.two_le #align nat.prime.one_lt Nat.Prime.one_lt lemma Prime.one_le {p : ℕ} (hp : p.Prime) : 1 ≤ p := hp.one_lt.le instance Prime.one_lt' (p : ℕ) [hp : Fact p.Prime] : Fact (1 < p) := ⟨hp.1.one_lt⟩ #align nat.prime.one_lt' Nat.Prime.one_lt' theorem Prime.ne_one {p : ℕ} (hp : p.Prime) : p ≠ 1 := hp.one_lt.ne' #align nat.prime.ne_one Nat.Prime.ne_one theorem Prime.eq_one_or_self_of_dvd {p : ℕ} (pp : p.Prime) (m : ℕ) (hm : m ∣ p) : m = 1 ∨ m = p := by obtain ⟨n, hn⟩ := hm have := pp.isUnit_or_isUnit hn rw [Nat.isUnit_iff, Nat.isUnit_iff] at this apply Or.imp_right _ this rintro rfl rw [hn, mul_one] #align nat.prime.eq_one_or_self_of_dvd Nat.Prime.eq_one_or_self_of_dvd theorem prime_def_lt'' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, m ∣ p → m = 1 ∨ m = p := by refine ⟨fun h => ⟨h.two_le, h.eq_one_or_self_of_dvd⟩, fun h => ?_⟩ -- Porting note: needed to make ℕ explicit have h1 := (@one_lt_two ℕ ..).trans_le h.1 refine ⟨mt Nat.isUnit_iff.mp h1.ne', fun a b hab => ?_⟩ simp only [Nat.isUnit_iff] apply Or.imp_right _ (h.2 a _) · rintro rfl rw [← mul_right_inj' (pos_of_gt h1).ne', ← hab, mul_one] · rw [hab] exact dvd_mul_right _ _ #align nat.prime_def_lt'' Nat.prime_def_lt'' theorem prime_def_lt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m < p, m ∣ p → m = 1 := prime_def_lt''.trans <| and_congr_right fun p2 => forall_congr' fun _ => ⟨fun h l d => (h d).resolve_right (ne_of_lt l), fun h d => (le_of_dvd (le_of_succ_le p2) d).lt_or_eq_dec.imp_left fun l => h l d⟩ #align nat.prime_def_lt Nat.prime_def_lt theorem prime_def_lt' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m < p → ¬m ∣ p := prime_def_lt.trans <| and_congr_right fun p2 => forall_congr' fun m => ⟨fun h m2 l d => not_lt_of_ge m2 ((h l d).symm ▸ by decide), fun h l d => by rcases m with (_ | _ | m) · rw [eq_zero_of_zero_dvd d] at p2 revert p2 decide · rfl · exact (h le_add_self l).elim d⟩ #align nat.prime_def_lt' Nat.prime_def_lt' theorem prime_def_le_sqrt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m ≤ sqrt p → ¬m ∣ p := prime_def_lt'.trans <| and_congr_right fun p2 => ⟨fun a m m2 l => a m m2 <| lt_of_le_of_lt l <| sqrt_lt_self p2, fun a => have : ∀ {m k : ℕ}, m ≤ k → 1 < m → p ≠ m * k := fun {m k} mk m1 e => a m m1 (le_sqrt.2 (e.symm ▸ Nat.mul_le_mul_left m mk)) ⟨k, e⟩ fun m m2 l ⟨k, e⟩ => by rcases le_total m k with mk | km · exact this mk m2 e · rw [mul_comm] at e refine this km (lt_of_mul_lt_mul_right ?_ (zero_le m)) e rwa [one_mul, ← e]⟩ #align nat.prime_def_le_sqrt Nat.prime_def_le_sqrt theorem prime_of_coprime (n : ℕ) (h1 : 1 < n) (h : ∀ m < n, m ≠ 0 → n.Coprime m) : Prime n := by refine prime_def_lt.mpr ⟨h1, fun m mlt mdvd => ?_⟩ have hm : m ≠ 0 := by rintro rfl rw [zero_dvd_iff] at mdvd exact mlt.ne' mdvd exact (h m mlt hm).symm.eq_one_of_dvd mdvd #align nat.prime_of_coprime Nat.prime_of_coprime section @[local instance] def decidablePrime1 (p : ℕ) : Decidable (Prime p) := decidable_of_iff' _ prime_def_lt' #align nat.decidable_prime_1 Nat.decidablePrime1 theorem prime_two : Prime 2 := by decide #align nat.prime_two Nat.prime_two theorem prime_three : Prime 3 := by decide #align nat.prime_three Nat.prime_three theorem prime_five : Prime 5 := by decide theorem Prime.five_le_of_ne_two_of_ne_three {p : ℕ} (hp : p.Prime) (h_two : p ≠ 2) (h_three : p ≠ 3) : 5 ≤ p := by by_contra! h revert h_two h_three hp -- Porting note (#11043): was `decide!` match p with | 0 => decide | 1 => decide | 2 => decide | 3 => decide | 4 => decide | n + 5 => exact (h.not_le le_add_self).elim #align nat.prime.five_le_of_ne_two_of_ne_three Nat.Prime.five_le_of_ne_two_of_ne_three end theorem Prime.pred_pos {p : ℕ} (pp : Prime p) : 0 < pred p := lt_pred_iff.2 pp.one_lt #align nat.prime.pred_pos Nat.Prime.pred_pos theorem succ_pred_prime {p : ℕ} (pp : Prime p) : succ (pred p) = p := succ_pred_eq_of_pos pp.pos #align nat.succ_pred_prime Nat.succ_pred_prime theorem dvd_prime {p m : ℕ} (pp : Prime p) : m ∣ p ↔ m = 1 ∨ m = p := ⟨fun d => pp.eq_one_or_self_of_dvd m d, fun h => h.elim (fun e => e.symm ▸ one_dvd _) fun e => e.symm ▸ dvd_rfl⟩ #align nat.dvd_prime Nat.dvd_prime theorem dvd_prime_two_le {p m : ℕ} (pp : Prime p) (H : 2 ≤ m) : m ∣ p ↔ m = p := (dvd_prime pp).trans <| or_iff_right_of_imp <| Not.elim <| ne_of_gt H #align nat.dvd_prime_two_le Nat.dvd_prime_two_le theorem prime_dvd_prime_iff_eq {p q : ℕ} (pp : p.Prime) (qp : q.Prime) : p ∣ q ↔ p = q := dvd_prime_two_le qp (Prime.two_le pp) #align nat.prime_dvd_prime_iff_eq Nat.prime_dvd_prime_iff_eq theorem Prime.not_dvd_one {p : ℕ} (pp : Prime p) : ¬p ∣ 1 := Irreducible.not_dvd_one pp #align nat.prime.not_dvd_one Nat.Prime.not_dvd_one
Mathlib/Data/Nat/Prime.lean
219
220
theorem prime_mul_iff {a b : ℕ} : Nat.Prime (a * b) ↔ a.Prime ∧ b = 1 ∨ b.Prime ∧ a = 1 := by
simp only [iff_self_iff, irreducible_mul_iff, ← irreducible_iff_nat_prime, Nat.isUnit_iff]
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order #align_import measure_theory.constructions.borel_space.basic from "leanprover-community/mathlib"@"9f55d0d4363ae59948c33864cbc52e0b12e0e8ce" open Set Filter MeasureTheory MeasurableSpace open scoped Classical Topology NNReal ENNReal MeasureTheory universe u v w x y variable {α β γ δ : Type*} {ι : Sort y} {s t u : Set α} namespace Real theorem borel_eq_generateFrom_Ioo_rat : borel ℝ = .generateFrom (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) := isTopologicalBasis_Ioo_rat.borel_eq_generateFrom #align real.borel_eq_generate_from_Ioo_rat Real.borel_eq_generateFrom_Ioo_rat theorem borel_eq_generateFrom_Iio_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Iio (a : ℝ)}) := by rw [borel_eq_generateFrom_Iio] refine le_antisymm (generateFrom_le ?_) (generateFrom_mono <| iUnion_subset fun q ↦ singleton_subset_iff.mpr <| mem_range_self _) rintro _ ⟨a, rfl⟩ have : IsLUB (range ((↑) : ℚ → ℝ) ∩ Iio a) a := by simp [isLUB_iff_le_iff, mem_upperBounds, ← le_iff_forall_rat_lt_imp_le] rw [← this.biUnion_Iio_eq, ← image_univ, ← image_inter_preimage, univ_inter, biUnion_image] exact MeasurableSet.biUnion (to_countable _) fun b _ => GenerateMeasurable.basic (Iio (b : ℝ)) (by simp) theorem borel_eq_generateFrom_Ioi_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Ioi (a : ℝ)}) := by rw [borel_eq_generateFrom_Ioi] refine le_antisymm (generateFrom_le ?_) (generateFrom_mono <| iUnion_subset fun q ↦ singleton_subset_iff.mpr <| mem_range_self _) rintro _ ⟨a, rfl⟩ have : IsGLB (range ((↑) : ℚ → ℝ) ∩ Ioi a) a := by simp [isGLB_iff_le_iff, mem_lowerBounds, ← le_iff_forall_lt_rat_imp_le] rw [← this.biUnion_Ioi_eq, ← image_univ, ← image_inter_preimage, univ_inter, biUnion_image] exact MeasurableSet.biUnion (to_countable _) fun b _ => GenerateMeasurable.basic (Ioi (b : ℝ)) (by simp) theorem borel_eq_generateFrom_Iic_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Iic (a : ℝ)}) := by rw [borel_eq_generateFrom_Ioi_rat, iUnion_singleton_eq_range, iUnion_singleton_eq_range] refine le_antisymm (generateFrom_le ?_) (generateFrom_le ?_) <;> rintro _ ⟨q, rfl⟩ <;> dsimp only <;> [rw [← compl_Iic]; rw [← compl_Ioi]] <;> exact MeasurableSet.compl (GenerateMeasurable.basic _ (mem_range_self q)) theorem borel_eq_generateFrom_Ici_rat : borel ℝ = .generateFrom (⋃ a : ℚ, {Ici (a : ℝ)}) := by rw [borel_eq_generateFrom_Iio_rat, iUnion_singleton_eq_range, iUnion_singleton_eq_range] refine le_antisymm (generateFrom_le ?_) (generateFrom_le ?_) <;> rintro _ ⟨q, rfl⟩ <;> dsimp only <;> [rw [← compl_Ici]; rw [← compl_Iio]] <;> exact MeasurableSet.compl (GenerateMeasurable.basic _ (mem_range_self q))
Mathlib/MeasureTheory/Constructions/BorelSpace/Real.lean
84
88
theorem isPiSystem_Ioo_rat : IsPiSystem (⋃ (a : ℚ) (b : ℚ) (_ : a < b), {Ioo (a : ℝ) (b : ℝ)}) := by
convert isPiSystem_Ioo ((↑) : ℚ → ℝ) ((↑) : ℚ → ℝ) ext x simp [eq_comm]
import Mathlib.Algebra.Associated import Mathlib.Algebra.Star.Unitary import Mathlib.RingTheory.Int.Basic import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.Tactic.Ring #align_import number_theory.zsqrtd.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3" @[ext] structure Zsqrtd (d : ℤ) where re : ℤ im : ℤ deriving DecidableEq #align zsqrtd Zsqrtd #align zsqrtd.ext Zsqrtd.ext_iff prefix:100 "ℤ√" => Zsqrtd namespace Zsqrtd section variable {d : ℤ} def ofInt (n : ℤ) : ℤ√d := ⟨n, 0⟩ #align zsqrtd.of_int Zsqrtd.ofInt theorem ofInt_re (n : ℤ) : (ofInt n : ℤ√d).re = n := rfl #align zsqrtd.of_int_re Zsqrtd.ofInt_re theorem ofInt_im (n : ℤ) : (ofInt n : ℤ√d).im = 0 := rfl #align zsqrtd.of_int_im Zsqrtd.ofInt_im instance : Zero (ℤ√d) := ⟨ofInt 0⟩ @[simp] theorem zero_re : (0 : ℤ√d).re = 0 := rfl #align zsqrtd.zero_re Zsqrtd.zero_re @[simp] theorem zero_im : (0 : ℤ√d).im = 0 := rfl #align zsqrtd.zero_im Zsqrtd.zero_im instance : Inhabited (ℤ√d) := ⟨0⟩ instance : One (ℤ√d) := ⟨ofInt 1⟩ @[simp] theorem one_re : (1 : ℤ√d).re = 1 := rfl #align zsqrtd.one_re Zsqrtd.one_re @[simp] theorem one_im : (1 : ℤ√d).im = 0 := rfl #align zsqrtd.one_im Zsqrtd.one_im def sqrtd : ℤ√d := ⟨0, 1⟩ #align zsqrtd.sqrtd Zsqrtd.sqrtd @[simp] theorem sqrtd_re : (sqrtd : ℤ√d).re = 0 := rfl #align zsqrtd.sqrtd_re Zsqrtd.sqrtd_re @[simp] theorem sqrtd_im : (sqrtd : ℤ√d).im = 1 := rfl #align zsqrtd.sqrtd_im Zsqrtd.sqrtd_im instance : Add (ℤ√d) := ⟨fun z w => ⟨z.1 + w.1, z.2 + w.2⟩⟩ @[simp] theorem add_def (x y x' y' : ℤ) : (⟨x, y⟩ + ⟨x', y'⟩ : ℤ√d) = ⟨x + x', y + y'⟩ := rfl #align zsqrtd.add_def Zsqrtd.add_def @[simp] theorem add_re (z w : ℤ√d) : (z + w).re = z.re + w.re := rfl #align zsqrtd.add_re Zsqrtd.add_re @[simp] theorem add_im (z w : ℤ√d) : (z + w).im = z.im + w.im := rfl #align zsqrtd.add_im Zsqrtd.add_im #noalign zsqrtd.bit0_re #noalign zsqrtd.bit0_im #noalign zsqrtd.bit1_re #noalign zsqrtd.bit1_im instance : Neg (ℤ√d) := ⟨fun z => ⟨-z.1, -z.2⟩⟩ @[simp] theorem neg_re (z : ℤ√d) : (-z).re = -z.re := rfl #align zsqrtd.neg_re Zsqrtd.neg_re @[simp] theorem neg_im (z : ℤ√d) : (-z).im = -z.im := rfl #align zsqrtd.neg_im Zsqrtd.neg_im instance : Mul (ℤ√d) := ⟨fun z w => ⟨z.1 * w.1 + d * z.2 * w.2, z.1 * w.2 + z.2 * w.1⟩⟩ @[simp] theorem mul_re (z w : ℤ√d) : (z * w).re = z.re * w.re + d * z.im * w.im := rfl #align zsqrtd.mul_re Zsqrtd.mul_re @[simp] theorem mul_im (z w : ℤ√d) : (z * w).im = z.re * w.im + z.im * w.re := rfl #align zsqrtd.mul_im Zsqrtd.mul_im instance addCommGroup : AddCommGroup (ℤ√d) := by refine { add := (· + ·) zero := (0 : ℤ√d) sub := fun a b => a + -b neg := Neg.neg nsmul := @nsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩ zsmul := @zsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩ ⟨Neg.neg⟩ (@nsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩) add_assoc := ?_ zero_add := ?_ add_zero := ?_ add_left_neg := ?_ add_comm := ?_ } <;> intros <;> ext <;> simp [add_comm, add_left_comm] @[simp] theorem sub_re (z w : ℤ√d) : (z - w).re = z.re - w.re := rfl @[simp] theorem sub_im (z w : ℤ√d) : (z - w).im = z.im - w.im := rfl instance addGroupWithOne : AddGroupWithOne (ℤ√d) := { Zsqrtd.addCommGroup with natCast := fun n => ofInt n intCast := ofInt one := 1 } instance commRing : CommRing (ℤ√d) := by refine { Zsqrtd.addGroupWithOne with mul := (· * ·) npow := @npowRec (ℤ√d) ⟨1⟩ ⟨(· * ·)⟩, add_comm := ?_ left_distrib := ?_ right_distrib := ?_ zero_mul := ?_ mul_zero := ?_ mul_assoc := ?_ one_mul := ?_ mul_one := ?_ mul_comm := ?_ } <;> intros <;> ext <;> simp <;> ring instance : AddMonoid (ℤ√d) := by infer_instance instance : Monoid (ℤ√d) := by infer_instance instance : CommMonoid (ℤ√d) := by infer_instance instance : CommSemigroup (ℤ√d) := by infer_instance instance : Semigroup (ℤ√d) := by infer_instance instance : AddCommSemigroup (ℤ√d) := by infer_instance instance : AddSemigroup (ℤ√d) := by infer_instance instance : CommSemiring (ℤ√d) := by infer_instance instance : Semiring (ℤ√d) := by infer_instance instance : Ring (ℤ√d) := by infer_instance instance : Distrib (ℤ√d) := by infer_instance instance : Star (ℤ√d) where star z := ⟨z.1, -z.2⟩ @[simp] theorem star_mk (x y : ℤ) : star (⟨x, y⟩ : ℤ√d) = ⟨x, -y⟩ := rfl #align zsqrtd.star_mk Zsqrtd.star_mk @[simp] theorem star_re (z : ℤ√d) : (star z).re = z.re := rfl #align zsqrtd.star_re Zsqrtd.star_re @[simp] theorem star_im (z : ℤ√d) : (star z).im = -z.im := rfl #align zsqrtd.star_im Zsqrtd.star_im instance : StarRing (ℤ√d) where star_involutive x := Zsqrtd.ext _ _ rfl (neg_neg _) star_mul a b := by ext <;> simp <;> ring star_add a b := Zsqrtd.ext _ _ rfl (neg_add _ _) -- Porting note: proof was `by decide` instance nontrivial : Nontrivial (ℤ√d) := ⟨⟨0, 1, (Zsqrtd.ext_iff 0 1).not.mpr (by simp)⟩⟩ @[simp] theorem natCast_re (n : ℕ) : (n : ℤ√d).re = n := rfl #align zsqrtd.coe_nat_re Zsqrtd.natCast_re @[simp] theorem ofNat_re (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n) : ℤ√d).re = n := rfl @[simp] theorem natCast_im (n : ℕ) : (n : ℤ√d).im = 0 := rfl #align zsqrtd.coe_nat_im Zsqrtd.natCast_im @[simp] theorem ofNat_im (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n) : ℤ√d).im = 0 := rfl theorem natCast_val (n : ℕ) : (n : ℤ√d) = ⟨n, 0⟩ := rfl #align zsqrtd.coe_nat_val Zsqrtd.natCast_val @[simp] theorem intCast_re (n : ℤ) : (n : ℤ√d).re = n := by cases n <;> rfl #align zsqrtd.coe_int_re Zsqrtd.intCast_re @[simp] theorem intCast_im (n : ℤ) : (n : ℤ√d).im = 0 := by cases n <;> rfl #align zsqrtd.coe_int_im Zsqrtd.intCast_im theorem intCast_val (n : ℤ) : (n : ℤ√d) = ⟨n, 0⟩ := by ext <;> simp #align zsqrtd.coe_int_val Zsqrtd.intCast_val instance : CharZero (ℤ√d) where cast_injective m n := by simp [Zsqrtd.ext_iff] @[simp] theorem ofInt_eq_intCast (n : ℤ) : (ofInt n : ℤ√d) = n := by ext <;> simp [ofInt_re, ofInt_im] #align zsqrtd.of_int_eq_coe Zsqrtd.ofInt_eq_intCast @[deprecated (since := "2024-04-05")] alias coe_nat_re := natCast_re @[deprecated (since := "2024-04-05")] alias coe_nat_im := natCast_im @[deprecated (since := "2024-04-05")] alias coe_nat_val := natCast_val @[deprecated (since := "2024-04-05")] alias coe_int_re := intCast_re @[deprecated (since := "2024-04-05")] alias coe_int_im := intCast_im @[deprecated (since := "2024-04-05")] alias coe_int_val := intCast_val @[deprecated (since := "2024-04-05")] alias ofInt_eq_coe := ofInt_eq_intCast @[simp] theorem smul_val (n x y : ℤ) : (n : ℤ√d) * ⟨x, y⟩ = ⟨n * x, n * y⟩ := by ext <;> simp #align zsqrtd.smul_val Zsqrtd.smul_val theorem smul_re (a : ℤ) (b : ℤ√d) : (↑a * b).re = a * b.re := by simp #align zsqrtd.smul_re Zsqrtd.smul_re
Mathlib/NumberTheory/Zsqrtd/Basic.lean
311
311
theorem smul_im (a : ℤ) (b : ℤ√d) : (↑a * b).im = a * b.im := by
simp
import Mathlib.Data.Real.Pi.Bounds import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.ConvexBody -- TODO. Rewrite some of the FLT results on the disciminant using the definitions and results of -- this file namespace NumberField open FiniteDimensional NumberField NumberField.InfinitePlace Matrix open scoped Classical Real nonZeroDivisors variable (K : Type*) [Field K] [NumberField K] noncomputable abbrev discr : ℤ := Algebra.discr ℤ (RingOfIntegers.basis K) theorem coe_discr : (discr K : ℚ) = Algebra.discr ℚ (integralBasis K) := (Algebra.discr_localizationLocalization ℤ _ K (RingOfIntegers.basis K)).symm theorem discr_ne_zero : discr K ≠ 0 := by rw [← (Int.cast_injective (α := ℚ)).ne_iff, coe_discr] exact Algebra.discr_not_zero_of_basis ℚ (integralBasis K) theorem discr_eq_discr {ι : Type*} [Fintype ι] [DecidableEq ι] (b : Basis ι ℤ (𝓞 K)) : Algebra.discr ℤ b = discr K := by let b₀ := Basis.reindex (RingOfIntegers.basis K) (Basis.indexEquiv (RingOfIntegers.basis K) b) rw [Algebra.discr_eq_discr (𝓞 K) b b₀, Basis.coe_reindex, Algebra.discr_reindex] theorem discr_eq_discr_of_algEquiv {L : Type*} [Field L] [NumberField L] (f : K ≃ₐ[ℚ] L) : discr K = discr L := by let f₀ : 𝓞 K ≃ₗ[ℤ] 𝓞 L := (f.restrictScalars ℤ).mapIntegralClosure.toLinearEquiv rw [← Rat.intCast_inj, coe_discr, Algebra.discr_eq_discr_of_algEquiv (integralBasis K) f, ← discr_eq_discr L ((RingOfIntegers.basis K).map f₀)] change _ = algebraMap ℤ ℚ _ rw [← Algebra.discr_localizationLocalization ℤ (nonZeroDivisors ℤ) L] congr ext simp only [Function.comp_apply, integralBasis_apply, Basis.localizationLocalization_apply, Basis.map_apply] rfl open MeasureTheory MeasureTheory.Measure Zspan NumberField.mixedEmbedding NumberField.InfinitePlace ENNReal NNReal Complex theorem _root_.NumberField.mixedEmbedding.volume_fundamentalDomain_latticeBasis : volume (fundamentalDomain (latticeBasis K)) = (2 : ℝ≥0∞)⁻¹ ^ NrComplexPlaces K * sqrt ‖discr K‖₊ := by let f : Module.Free.ChooseBasisIndex ℤ (𝓞 K) ≃ (K →+* ℂ) := (canonicalEmbedding.latticeBasis K).indexEquiv (Pi.basisFun ℂ _) let e : (index K) ≃ Module.Free.ChooseBasisIndex ℤ (𝓞 K) := (indexEquiv K).trans f.symm let M := (mixedEmbedding.stdBasis K).toMatrix ((latticeBasis K).reindex e.symm) let N := Algebra.embeddingsMatrixReindex ℚ ℂ (integralBasis K ∘ f.symm) RingHom.equivRatAlgHom suffices M.map Complex.ofReal = (matrixToStdBasis K) * (Matrix.reindex (indexEquiv K).symm (indexEquiv K).symm N).transpose by calc volume (fundamentalDomain (latticeBasis K)) _ = ‖((mixedEmbedding.stdBasis K).toMatrix ((latticeBasis K).reindex e.symm)).det‖₊ := by rw [← fundamentalDomain_reindex _ e.symm, ← norm_toNNReal, measure_fundamentalDomain ((latticeBasis K).reindex e.symm), volume_fundamentalDomain_stdBasis, mul_one] rfl _ = ‖(matrixToStdBasis K).det * N.det‖₊ := by rw [← nnnorm_real, ← ofReal_eq_coe, RingHom.map_det, RingHom.mapMatrix_apply, this, det_mul, det_transpose, det_reindex_self] _ = (2 : ℝ≥0∞)⁻¹ ^ Fintype.card {w : InfinitePlace K // IsComplex w} * sqrt ‖N.det ^ 2‖₊ := by have : ‖Complex.I‖₊ = 1 := by rw [← norm_toNNReal, norm_eq_abs, abs_I, Real.toNNReal_one] rw [det_matrixToStdBasis, nnnorm_mul, nnnorm_pow, nnnorm_mul, this, mul_one, nnnorm_inv, coe_mul, ENNReal.coe_pow, ← norm_toNNReal, RCLike.norm_two, Real.toNNReal_ofNat, coe_inv two_ne_zero, coe_ofNat, nnnorm_pow, NNReal.sqrt_sq] _ = (2 : ℝ≥0∞)⁻¹ ^ Fintype.card { w // IsComplex w } * NNReal.sqrt ‖discr K‖₊ := by rw [← Algebra.discr_eq_det_embeddingsMatrixReindex_pow_two, Algebra.discr_reindex, ← coe_discr, map_intCast, ← Complex.nnnorm_int] ext : 2 dsimp only [M] rw [Matrix.map_apply, Basis.toMatrix_apply, Basis.coe_reindex, Function.comp_apply, Equiv.symm_symm, latticeBasis_apply, ← commMap_canonical_eq_mixed, Complex.ofReal_eq_coe, stdBasis_repr_eq_matrixToStdBasis_mul K _ (fun _ => rfl)] rfl
Mathlib/NumberTheory/NumberField/Discriminant.lean
105
151
theorem exists_ne_zero_mem_ideal_of_norm_le_mul_sqrt_discr (I : (FractionalIdeal (𝓞 K)⁰ K)ˣ) : ∃ a ∈ (I : FractionalIdeal (𝓞 K)⁰ K), a ≠ 0 ∧ |Algebra.norm ℚ (a:K)| ≤ FractionalIdeal.absNorm I.1 * (4 / π) ^ NrComplexPlaces K * (finrank ℚ K).factorial / (finrank ℚ K) ^ (finrank ℚ K) * Real.sqrt |discr K| := by
-- The smallest possible value for `exists_ne_zero_mem_ideal_of_norm_le` let B := (minkowskiBound K I * (convexBodySumFactor K)⁻¹).toReal ^ (1 / (finrank ℚ K : ℝ)) have h_le : (minkowskiBound K I) ≤ volume (convexBodySum K B) := by refine le_of_eq ?_ rw [convexBodySum_volume, ← ENNReal.ofReal_pow (by positivity), ← Real.rpow_natCast, ← Real.rpow_mul toReal_nonneg, div_mul_cancel₀, Real.rpow_one, ofReal_toReal, mul_comm, mul_assoc, ← coe_mul, inv_mul_cancel (convexBodySumFactor_ne_zero K), ENNReal.coe_one, mul_one] · exact mul_ne_top (ne_of_lt (minkowskiBound_lt_top K I)) coe_ne_top · exact (Nat.cast_ne_zero.mpr (ne_of_gt finrank_pos)) convert exists_ne_zero_mem_ideal_of_norm_le K I h_le rw [div_pow B, ← Real.rpow_natCast B, ← Real.rpow_mul (by positivity), div_mul_cancel₀ _ (Nat.cast_ne_zero.mpr <| ne_of_gt finrank_pos), Real.rpow_one, mul_comm_div, mul_div_assoc'] congr 1 rw [eq_comm] calc _ = FractionalIdeal.absNorm I.1 * (2 : ℝ)⁻¹ ^ NrComplexPlaces K * sqrt ‖discr K‖₊ * (2 : ℝ) ^ finrank ℚ K * ((2 : ℝ) ^ NrRealPlaces K * (π / 2) ^ NrComplexPlaces K / (Nat.factorial (finrank ℚ K)))⁻¹ := by simp_rw [minkowskiBound, convexBodySumFactor, volume_fundamentalDomain_fractionalIdealLatticeBasis, volume_fundamentalDomain_latticeBasis, toReal_mul, toReal_pow, toReal_inv, coe_toReal, toReal_ofNat, mixedEmbedding.finrank, mul_assoc] rw [ENNReal.toReal_ofReal (Rat.cast_nonneg.mpr (FractionalIdeal.absNorm_nonneg I.1))] simp_rw [NNReal.coe_inv, NNReal.coe_div, NNReal.coe_mul, NNReal.coe_pow, NNReal.coe_div, coe_real_pi, NNReal.coe_ofNat, NNReal.coe_natCast] _ = FractionalIdeal.absNorm I.1 * (2 : ℝ) ^ (finrank ℚ K - NrComplexPlaces K - NrRealPlaces K + NrComplexPlaces K : ℤ) * Real.sqrt ‖discr K‖ * Nat.factorial (finrank ℚ K) * π⁻¹ ^ (NrComplexPlaces K) := by simp_rw [inv_div, div_eq_mul_inv, mul_inv, ← zpow_neg_one, ← zpow_natCast, mul_zpow, ← zpow_mul, neg_one_mul, mul_neg_one, neg_neg, Real.coe_sqrt, coe_nnnorm, sub_eq_add_neg, zpow_add₀ (two_ne_zero : (2 : ℝ) ≠ 0)] ring _ = FractionalIdeal.absNorm I.1 * (2 : ℝ) ^ (2 * NrComplexPlaces K : ℤ) * Real.sqrt ‖discr K‖ * Nat.factorial (finrank ℚ K) * π⁻¹ ^ (NrComplexPlaces K) := by congr rw [← card_add_two_mul_card_eq_rank, Nat.cast_add, Nat.cast_mul, Nat.cast_ofNat] ring _ = FractionalIdeal.absNorm I.1 * (4 / π) ^ NrComplexPlaces K * (finrank ℚ K).factorial * Real.sqrt |discr K| := by rw [Int.norm_eq_abs, zpow_mul, show (2 : ℝ) ^ (2 : ℤ) = 4 by norm_cast, div_pow, inv_eq_one_div, div_pow, one_pow, zpow_natCast] ring
import Mathlib.Data.Finset.Card #align_import data.finset.prod from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" assert_not_exists MonoidWithZero open Multiset variable {α β γ : Type*} namespace Finset section Prod variable {s s' : Finset α} {t t' : Finset β} {a : α} {b : β} protected def product (s : Finset α) (t : Finset β) : Finset (α × β) := ⟨_, s.nodup.product t.nodup⟩ #align finset.product Finset.product instance instSProd : SProd (Finset α) (Finset β) (Finset (α × β)) where sprod := Finset.product @[simp] theorem product_val : (s ×ˢ t).1 = s.1 ×ˢ t.1 := rfl #align finset.product_val Finset.product_val @[simp] theorem mem_product {p : α × β} : p ∈ s ×ˢ t ↔ p.1 ∈ s ∧ p.2 ∈ t := Multiset.mem_product #align finset.mem_product Finset.mem_product theorem mk_mem_product (ha : a ∈ s) (hb : b ∈ t) : (a, b) ∈ s ×ˢ t := mem_product.2 ⟨ha, hb⟩ #align finset.mk_mem_product Finset.mk_mem_product @[simp, norm_cast] theorem coe_product (s : Finset α) (t : Finset β) : (↑(s ×ˢ t) : Set (α × β)) = (s : Set α) ×ˢ t := Set.ext fun _ => Finset.mem_product #align finset.coe_product Finset.coe_product theorem subset_product_image_fst [DecidableEq α] : (s ×ˢ t).image Prod.fst ⊆ s := fun i => by simp (config := { contextual := true }) [mem_image] #align finset.subset_product_image_fst Finset.subset_product_image_fst theorem subset_product_image_snd [DecidableEq β] : (s ×ˢ t).image Prod.snd ⊆ t := fun i => by simp (config := { contextual := true }) [mem_image] #align finset.subset_product_image_snd Finset.subset_product_image_snd theorem product_image_fst [DecidableEq α] (ht : t.Nonempty) : (s ×ˢ t).image Prod.fst = s := by ext i simp [mem_image, ht.exists_mem] #align finset.product_image_fst Finset.product_image_fst
Mathlib/Data/Finset/Prod.lean
81
83
theorem product_image_snd [DecidableEq β] (ht : s.Nonempty) : (s ×ˢ t).image Prod.snd = t := by
ext i simp [mem_image, ht.exists_mem]
import Mathlib.RingTheory.DedekindDomain.Ideal #align_import ring_theory.dedekind_domain.factorization from "leanprover-community/mathlib"@"2f588be38bb5bec02f218ba14f82fc82eb663f87" noncomputable section open scoped Classical nonZeroDivisors open Set Function UniqueFactorizationMonoid IsDedekindDomain IsDedekindDomain.HeightOneSpectrum Classical variable {R : Type*} [CommRing R] {K : Type*} [Field K] [Algebra R K] [IsFractionRing R K] variable [IsDedekindDomain R] (v : HeightOneSpectrum R) def IsDedekindDomain.HeightOneSpectrum.maxPowDividing (I : Ideal R) : Ideal R := v.asIdeal ^ (Associates.mk v.asIdeal).count (Associates.mk I).factors #align is_dedekind_domain.height_one_spectrum.max_pow_dividing IsDedekindDomain.HeightOneSpectrum.maxPowDividing theorem Ideal.finite_factors {I : Ideal R} (hI : I ≠ 0) : {v : HeightOneSpectrum R | v.asIdeal ∣ I}.Finite := by rw [← Set.finite_coe_iff, Set.coe_setOf] haveI h_fin := fintypeSubtypeDvd I hI refine Finite.of_injective (fun v => (⟨(v : HeightOneSpectrum R).asIdeal, v.2⟩ : { x // x ∣ I })) ?_ intro v w hvw simp? at hvw says simp only [Subtype.mk.injEq] at hvw exact Subtype.coe_injective ((HeightOneSpectrum.ext_iff (R := R) ↑v ↑w).mpr hvw) #align ideal.finite_factors Ideal.finite_factors theorem Associates.finite_factors {I : Ideal R} (hI : I ≠ 0) : ∀ᶠ v : HeightOneSpectrum R in Filter.cofinite, ((Associates.mk v.asIdeal).count (Associates.mk I).factors : ℤ) = 0 := by have h_supp : {v : HeightOneSpectrum R | ¬((Associates.mk v.asIdeal).count (Associates.mk I).factors : ℤ) = 0} = {v : HeightOneSpectrum R | v.asIdeal ∣ I} := by ext v simp_rw [Int.natCast_eq_zero] exact Associates.count_ne_zero_iff_dvd hI v.irreducible rw [Filter.eventually_cofinite, h_supp] exact Ideal.finite_factors hI #align associates.finite_factors Associates.finite_factors namespace Ideal theorem finite_mulSupport {I : Ideal R} (hI : I ≠ 0) : (mulSupport fun v : HeightOneSpectrum R => v.maxPowDividing I).Finite := haveI h_subset : {v : HeightOneSpectrum R | v.maxPowDividing I ≠ 1} ⊆ {v : HeightOneSpectrum R | ((Associates.mk v.asIdeal).count (Associates.mk I).factors : ℤ) ≠ 0} := by intro v hv h_zero have hv' : v.maxPowDividing I = 1 := by rw [IsDedekindDomain.HeightOneSpectrum.maxPowDividing, Int.natCast_eq_zero.mp h_zero, pow_zero _] exact hv hv' Finite.subset (Filter.eventually_cofinite.mp (Associates.finite_factors hI)) h_subset #align ideal.finite_mul_support Ideal.finite_mulSupport
Mathlib/RingTheory/DedekindDomain/Factorization.lean
112
117
theorem finite_mulSupport_coe {I : Ideal R} (hI : I ≠ 0) : (mulSupport fun v : HeightOneSpectrum R => (v.asIdeal : FractionalIdeal R⁰ K) ^ ((Associates.mk v.asIdeal).count (Associates.mk I).factors : ℤ)).Finite := by
rw [mulSupport] simp_rw [Ne, zpow_natCast, ← FractionalIdeal.coeIdeal_pow, FractionalIdeal.coeIdeal_eq_one] exact finite_mulSupport hI
import Mathlib.SetTheory.Cardinal.Basic import Mathlib.Tactic.Ring #align_import data.nat.count from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988" open Finset namespace Nat variable (p : ℕ → Prop) section Count variable [DecidablePred p] def count (n : ℕ) : ℕ := (List.range n).countP p #align nat.count Nat.count @[simp] theorem count_zero : count p 0 = 0 := by rw [count, List.range_zero, List.countP, List.countP.go] #align nat.count_zero Nat.count_zero def CountSet.fintype (n : ℕ) : Fintype { i // i < n ∧ p i } := by apply Fintype.ofFinset ((Finset.range n).filter p) intro x rw [mem_filter, mem_range] rfl #align nat.count_set.fintype Nat.CountSet.fintype scoped[Count] attribute [instance] Nat.CountSet.fintype open Count theorem count_eq_card_filter_range (n : ℕ) : count p n = ((range n).filter p).card := by rw [count, List.countP_eq_length_filter] rfl #align nat.count_eq_card_filter_range Nat.count_eq_card_filter_range theorem count_eq_card_fintype (n : ℕ) : count p n = Fintype.card { k : ℕ // k < n ∧ p k } := by rw [count_eq_card_filter_range, ← Fintype.card_ofFinset, ← CountSet.fintype] rfl #align nat.count_eq_card_fintype Nat.count_eq_card_fintype theorem count_succ (n : ℕ) : count p (n + 1) = count p n + if p n then 1 else 0 := by split_ifs with h <;> simp [count, List.range_succ, h] #align nat.count_succ Nat.count_succ @[mono] theorem count_monotone : Monotone (count p) := monotone_nat_of_le_succ fun n ↦ by by_cases h : p n <;> simp [count_succ, h] #align nat.count_monotone Nat.count_monotone theorem count_add (a b : ℕ) : count p (a + b) = count p a + count (fun k ↦ p (a + k)) b := by have : Disjoint ((range a).filter p) (((range b).map <| addLeftEmbedding a).filter p) := by apply disjoint_filter_filter rw [Finset.disjoint_left] simp_rw [mem_map, mem_range, addLeftEmbedding_apply] rintro x hx ⟨c, _, rfl⟩ exact (self_le_add_right _ _).not_lt hx simp_rw [count_eq_card_filter_range, range_add, filter_union, card_union_of_disjoint this, filter_map, addLeftEmbedding, card_map] rfl #align nat.count_add Nat.count_add
Mathlib/Data/Nat/Count.lean
86
88
theorem count_add' (a b : ℕ) : count p (a + b) = count (fun k ↦ p (k + b)) a + count p b := by
rw [add_comm, count_add, add_comm] simp_rw [add_comm b]
import Mathlib.Dynamics.Ergodic.MeasurePreserving import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.Matrix.Diagonal import Mathlib.LinearAlgebra.Matrix.Transvection import Mathlib.MeasureTheory.Group.LIntegral import Mathlib.MeasureTheory.Integral.Marginal import Mathlib.MeasureTheory.Measure.Stieltjes import Mathlib.MeasureTheory.Measure.Haar.OfBasis #align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" assert_not_exists MeasureTheory.integral noncomputable section open scoped Classical open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace open ENNReal (ofReal) open scoped ENNReal NNReal Topology namespace Real variable {ι : Type*} [Fintype ι] theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by haveI : IsAddLeftInvariant StieltjesFunction.id.measure := ⟨fun a => Eq.symm <| Real.measure_ext_Ioo_rat fun p q => by simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo, sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim, StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩ have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1 rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;> simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero, StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one] conv_rhs => rw [addHaarMeasure_unique StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A] simp only [volume, Basis.addHaar, one_smul] #align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by simp [volume_eq_stieltjes_id] #align real.volume_val Real.volume_val @[simp] theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ico Real.volume_Ico @[simp] theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Icc Real.volume_Icc @[simp] theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioo Real.volume_Ioo @[simp] theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val] #align real.volume_Ioc Real.volume_Ioc -- @[simp] -- Porting note (#10618): simp can prove this theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val] #align real.volume_singleton Real.volume_singleton -- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628 theorem volume_univ : volume (univ : Set ℝ) = ∞ := ENNReal.eq_top_of_forall_nnreal_le fun r => calc (r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by simp _ ≤ volume univ := measure_mono (subset_univ _) #align real.volume_univ Real.volume_univ @[simp]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
108
109
theorem volume_ball (a r : ℝ) : volume (Metric.ball a r) = ofReal (2 * r) := by
rw [ball_eq_Ioo, volume_Ioo, ← sub_add, add_sub_cancel_left, two_mul]
import Mathlib.Order.Cover import Mathlib.Order.Interval.Finset.Defs #align_import data.finset.locally_finite from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d" assert_not_exists MonoidWithZero assert_not_exists Finset.sum open Function OrderDual open FinsetInterval variable {ι α : Type*} namespace Finset section Preorder variable [Preorder α] section LocallyFiniteOrder variable [LocallyFiniteOrder α] {a a₁ a₂ b b₁ b₂ c x : α} @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Icc : (Icc a b).Nonempty ↔ a ≤ b := by rw [← coe_nonempty, coe_Icc, Set.nonempty_Icc] #align finset.nonempty_Icc Finset.nonempty_Icc @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Ico : (Ico a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ico, Set.nonempty_Ico] #align finset.nonempty_Ico Finset.nonempty_Ico @[simp, aesop safe apply (rule_sets := [finsetNonempty])] theorem nonempty_Ioc : (Ioc a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ioc, Set.nonempty_Ioc] #align finset.nonempty_Ioc Finset.nonempty_Ioc -- TODO: This is nonsense. A locally finite order is never densely ordered @[simp] theorem nonempty_Ioo [DenselyOrdered α] : (Ioo a b).Nonempty ↔ a < b := by rw [← coe_nonempty, coe_Ioo, Set.nonempty_Ioo] #align finset.nonempty_Ioo Finset.nonempty_Ioo @[simp] theorem Icc_eq_empty_iff : Icc a b = ∅ ↔ ¬a ≤ b := by rw [← coe_eq_empty, coe_Icc, Set.Icc_eq_empty_iff] #align finset.Icc_eq_empty_iff Finset.Icc_eq_empty_iff @[simp] theorem Ico_eq_empty_iff : Ico a b = ∅ ↔ ¬a < b := by rw [← coe_eq_empty, coe_Ico, Set.Ico_eq_empty_iff] #align finset.Ico_eq_empty_iff Finset.Ico_eq_empty_iff @[simp] theorem Ioc_eq_empty_iff : Ioc a b = ∅ ↔ ¬a < b := by rw [← coe_eq_empty, coe_Ioc, Set.Ioc_eq_empty_iff] #align finset.Ioc_eq_empty_iff Finset.Ioc_eq_empty_iff -- TODO: This is nonsense. A locally finite order is never densely ordered @[simp] theorem Ioo_eq_empty_iff [DenselyOrdered α] : Ioo a b = ∅ ↔ ¬a < b := by rw [← coe_eq_empty, coe_Ioo, Set.Ioo_eq_empty_iff] #align finset.Ioo_eq_empty_iff Finset.Ioo_eq_empty_iff alias ⟨_, Icc_eq_empty⟩ := Icc_eq_empty_iff #align finset.Icc_eq_empty Finset.Icc_eq_empty alias ⟨_, Ico_eq_empty⟩ := Ico_eq_empty_iff #align finset.Ico_eq_empty Finset.Ico_eq_empty alias ⟨_, Ioc_eq_empty⟩ := Ioc_eq_empty_iff #align finset.Ioc_eq_empty Finset.Ioc_eq_empty @[simp] theorem Ioo_eq_empty (h : ¬a < b) : Ioo a b = ∅ := eq_empty_iff_forall_not_mem.2 fun _ hx => h ((mem_Ioo.1 hx).1.trans (mem_Ioo.1 hx).2) #align finset.Ioo_eq_empty Finset.Ioo_eq_empty @[simp] theorem Icc_eq_empty_of_lt (h : b < a) : Icc a b = ∅ := Icc_eq_empty h.not_le #align finset.Icc_eq_empty_of_lt Finset.Icc_eq_empty_of_lt @[simp] theorem Ico_eq_empty_of_le (h : b ≤ a) : Ico a b = ∅ := Ico_eq_empty h.not_lt #align finset.Ico_eq_empty_of_le Finset.Ico_eq_empty_of_le @[simp] theorem Ioc_eq_empty_of_le (h : b ≤ a) : Ioc a b = ∅ := Ioc_eq_empty h.not_lt #align finset.Ioc_eq_empty_of_le Finset.Ioc_eq_empty_of_le @[simp] theorem Ioo_eq_empty_of_le (h : b ≤ a) : Ioo a b = ∅ := Ioo_eq_empty h.not_lt #align finset.Ioo_eq_empty_of_le Finset.Ioo_eq_empty_of_le -- porting note (#10618): simp can prove this -- @[simp] theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, true_and_iff, le_rfl] #align finset.left_mem_Icc Finset.left_mem_Icc -- porting note (#10618): simp can prove this -- @[simp] theorem left_mem_Ico : a ∈ Ico a b ↔ a < b := by simp only [mem_Ico, true_and_iff, le_refl] #align finset.left_mem_Ico Finset.left_mem_Ico -- porting note (#10618): simp can prove this -- @[simp] theorem right_mem_Icc : b ∈ Icc a b ↔ a ≤ b := by simp only [mem_Icc, and_true_iff, le_rfl] #align finset.right_mem_Icc Finset.right_mem_Icc -- porting note (#10618): simp can prove this -- @[simp] theorem right_mem_Ioc : b ∈ Ioc a b ↔ a < b := by simp only [mem_Ioc, and_true_iff, le_rfl] #align finset.right_mem_Ioc Finset.right_mem_Ioc -- porting note (#10618): simp can prove this -- @[simp] theorem left_not_mem_Ioc : a ∉ Ioc a b := fun h => lt_irrefl _ (mem_Ioc.1 h).1 #align finset.left_not_mem_Ioc Finset.left_not_mem_Ioc -- porting note (#10618): simp can prove this -- @[simp] theorem left_not_mem_Ioo : a ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).1 #align finset.left_not_mem_Ioo Finset.left_not_mem_Ioo -- porting note (#10618): simp can prove this -- @[simp] theorem right_not_mem_Ico : b ∉ Ico a b := fun h => lt_irrefl _ (mem_Ico.1 h).2 #align finset.right_not_mem_Ico Finset.right_not_mem_Ico -- porting note (#10618): simp can prove this -- @[simp] theorem right_not_mem_Ioo : b ∉ Ioo a b := fun h => lt_irrefl _ (mem_Ioo.1 h).2 #align finset.right_not_mem_Ioo Finset.right_not_mem_Ioo theorem Icc_subset_Icc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊆ Icc a₂ b₂ := by simpa [← coe_subset] using Set.Icc_subset_Icc ha hb #align finset.Icc_subset_Icc Finset.Icc_subset_Icc theorem Ico_subset_Ico (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ico a₁ b₁ ⊆ Ico a₂ b₂ := by simpa [← coe_subset] using Set.Ico_subset_Ico ha hb #align finset.Ico_subset_Ico Finset.Ico_subset_Ico theorem Ioc_subset_Ioc (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioc a₁ b₁ ⊆ Ioc a₂ b₂ := by simpa [← coe_subset] using Set.Ioc_subset_Ioc ha hb #align finset.Ioc_subset_Ioc Finset.Ioc_subset_Ioc theorem Ioo_subset_Ioo (ha : a₂ ≤ a₁) (hb : b₁ ≤ b₂) : Ioo a₁ b₁ ⊆ Ioo a₂ b₂ := by simpa [← coe_subset] using Set.Ioo_subset_Ioo ha hb #align finset.Ioo_subset_Ioo Finset.Ioo_subset_Ioo theorem Icc_subset_Icc_left (h : a₁ ≤ a₂) : Icc a₂ b ⊆ Icc a₁ b := Icc_subset_Icc h le_rfl #align finset.Icc_subset_Icc_left Finset.Icc_subset_Icc_left theorem Ico_subset_Ico_left (h : a₁ ≤ a₂) : Ico a₂ b ⊆ Ico a₁ b := Ico_subset_Ico h le_rfl #align finset.Ico_subset_Ico_left Finset.Ico_subset_Ico_left theorem Ioc_subset_Ioc_left (h : a₁ ≤ a₂) : Ioc a₂ b ⊆ Ioc a₁ b := Ioc_subset_Ioc h le_rfl #align finset.Ioc_subset_Ioc_left Finset.Ioc_subset_Ioc_left theorem Ioo_subset_Ioo_left (h : a₁ ≤ a₂) : Ioo a₂ b ⊆ Ioo a₁ b := Ioo_subset_Ioo h le_rfl #align finset.Ioo_subset_Ioo_left Finset.Ioo_subset_Ioo_left theorem Icc_subset_Icc_right (h : b₁ ≤ b₂) : Icc a b₁ ⊆ Icc a b₂ := Icc_subset_Icc le_rfl h #align finset.Icc_subset_Icc_right Finset.Icc_subset_Icc_right theorem Ico_subset_Ico_right (h : b₁ ≤ b₂) : Ico a b₁ ⊆ Ico a b₂ := Ico_subset_Ico le_rfl h #align finset.Ico_subset_Ico_right Finset.Ico_subset_Ico_right theorem Ioc_subset_Ioc_right (h : b₁ ≤ b₂) : Ioc a b₁ ⊆ Ioc a b₂ := Ioc_subset_Ioc le_rfl h #align finset.Ioc_subset_Ioc_right Finset.Ioc_subset_Ioc_right theorem Ioo_subset_Ioo_right (h : b₁ ≤ b₂) : Ioo a b₁ ⊆ Ioo a b₂ := Ioo_subset_Ioo le_rfl h #align finset.Ioo_subset_Ioo_right Finset.Ioo_subset_Ioo_right theorem Ico_subset_Ioo_left (h : a₁ < a₂) : Ico a₂ b ⊆ Ioo a₁ b := by rw [← coe_subset, coe_Ico, coe_Ioo] exact Set.Ico_subset_Ioo_left h #align finset.Ico_subset_Ioo_left Finset.Ico_subset_Ioo_left theorem Ioc_subset_Ioo_right (h : b₁ < b₂) : Ioc a b₁ ⊆ Ioo a b₂ := by rw [← coe_subset, coe_Ioc, coe_Ioo] exact Set.Ioc_subset_Ioo_right h #align finset.Ioc_subset_Ioo_right Finset.Ioc_subset_Ioo_right theorem Icc_subset_Ico_right (h : b₁ < b₂) : Icc a b₁ ⊆ Ico a b₂ := by rw [← coe_subset, coe_Icc, coe_Ico] exact Set.Icc_subset_Ico_right h #align finset.Icc_subset_Ico_right Finset.Icc_subset_Ico_right theorem Ioo_subset_Ico_self : Ioo a b ⊆ Ico a b := by rw [← coe_subset, coe_Ioo, coe_Ico] exact Set.Ioo_subset_Ico_self #align finset.Ioo_subset_Ico_self Finset.Ioo_subset_Ico_self theorem Ioo_subset_Ioc_self : Ioo a b ⊆ Ioc a b := by rw [← coe_subset, coe_Ioo, coe_Ioc] exact Set.Ioo_subset_Ioc_self #align finset.Ioo_subset_Ioc_self Finset.Ioo_subset_Ioc_self theorem Ico_subset_Icc_self : Ico a b ⊆ Icc a b := by rw [← coe_subset, coe_Ico, coe_Icc] exact Set.Ico_subset_Icc_self #align finset.Ico_subset_Icc_self Finset.Ico_subset_Icc_self theorem Ioc_subset_Icc_self : Ioc a b ⊆ Icc a b := by rw [← coe_subset, coe_Ioc, coe_Icc] exact Set.Ioc_subset_Icc_self #align finset.Ioc_subset_Icc_self Finset.Ioc_subset_Icc_self theorem Ioo_subset_Icc_self : Ioo a b ⊆ Icc a b := Ioo_subset_Ico_self.trans Ico_subset_Icc_self #align finset.Ioo_subset_Icc_self Finset.Ioo_subset_Icc_self theorem Icc_subset_Icc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Icc a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ ≤ b₂ := by rw [← coe_subset, coe_Icc, coe_Icc, Set.Icc_subset_Icc_iff h₁] #align finset.Icc_subset_Icc_iff Finset.Icc_subset_Icc_iff theorem Icc_subset_Ioo_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioo a₂ b₂ ↔ a₂ < a₁ ∧ b₁ < b₂ := by rw [← coe_subset, coe_Icc, coe_Ioo, Set.Icc_subset_Ioo_iff h₁] #align finset.Icc_subset_Ioo_iff Finset.Icc_subset_Ioo_iff theorem Icc_subset_Ico_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ico a₂ b₂ ↔ a₂ ≤ a₁ ∧ b₁ < b₂ := by rw [← coe_subset, coe_Icc, coe_Ico, Set.Icc_subset_Ico_iff h₁] #align finset.Icc_subset_Ico_iff Finset.Icc_subset_Ico_iff theorem Icc_subset_Ioc_iff (h₁ : a₁ ≤ b₁) : Icc a₁ b₁ ⊆ Ioc a₂ b₂ ↔ a₂ < a₁ ∧ b₁ ≤ b₂ := (Icc_subset_Ico_iff h₁.dual).trans and_comm #align finset.Icc_subset_Ioc_iff Finset.Icc_subset_Ioc_iff --TODO: `Ico_subset_Ioo_iff`, `Ioc_subset_Ioo_iff` theorem Icc_ssubset_Icc_left (hI : a₂ ≤ b₂) (ha : a₂ < a₁) (hb : b₁ ≤ b₂) : Icc a₁ b₁ ⊂ Icc a₂ b₂ := by rw [← coe_ssubset, coe_Icc, coe_Icc] exact Set.Icc_ssubset_Icc_left hI ha hb #align finset.Icc_ssubset_Icc_left Finset.Icc_ssubset_Icc_left theorem Icc_ssubset_Icc_right (hI : a₂ ≤ b₂) (ha : a₂ ≤ a₁) (hb : b₁ < b₂) : Icc a₁ b₁ ⊂ Icc a₂ b₂ := by rw [← coe_ssubset, coe_Icc, coe_Icc] exact Set.Icc_ssubset_Icc_right hI ha hb #align finset.Icc_ssubset_Icc_right Finset.Icc_ssubset_Icc_right variable (a) -- porting note (#10618): simp can prove this -- @[simp] theorem Ico_self : Ico a a = ∅ := Ico_eq_empty <| lt_irrefl _ #align finset.Ico_self Finset.Ico_self -- porting note (#10618): simp can prove this -- @[simp] theorem Ioc_self : Ioc a a = ∅ := Ioc_eq_empty <| lt_irrefl _ #align finset.Ioc_self Finset.Ioc_self -- porting note (#10618): simp can prove this -- @[simp] theorem Ioo_self : Ioo a a = ∅ := Ioo_eq_empty <| lt_irrefl _ #align finset.Ioo_self Finset.Ioo_self variable {a} def _root_.Set.fintypeOfMemBounds {s : Set α} [DecidablePred (· ∈ s)] (ha : a ∈ lowerBounds s) (hb : b ∈ upperBounds s) : Fintype s := Set.fintypeSubset (Set.Icc a b) fun _ hx => ⟨ha hx, hb hx⟩ #align set.fintype_of_mem_bounds Set.fintypeOfMemBounds section Filter theorem Ico_filter_lt_of_le_left [DecidablePred (· < c)] (hca : c ≤ a) : (Ico a b).filter (· < c) = ∅ := filter_false_of_mem fun _ hx => (hca.trans (mem_Ico.1 hx).1).not_lt #align finset.Ico_filter_lt_of_le_left Finset.Ico_filter_lt_of_le_left theorem Ico_filter_lt_of_right_le [DecidablePred (· < c)] (hbc : b ≤ c) : (Ico a b).filter (· < c) = Ico a b := filter_true_of_mem fun _ hx => (mem_Ico.1 hx).2.trans_le hbc #align finset.Ico_filter_lt_of_right_le Finset.Ico_filter_lt_of_right_le
Mathlib/Order/Interval/Finset/Basic.lean
328
332
theorem Ico_filter_lt_of_le_right [DecidablePred (· < c)] (hcb : c ≤ b) : (Ico a b).filter (· < c) = Ico a c := by
ext x rw [mem_filter, mem_Ico, mem_Ico, and_right_comm] exact and_iff_left_of_imp fun h => h.2.trans_le hcb
import Mathlib.Computability.Halting import Mathlib.Computability.TuringMachine import Mathlib.Data.Num.Lemmas import Mathlib.Tactic.DeriveFintype #align_import computability.tm_to_partrec from "leanprover-community/mathlib"@"6155d4351090a6fad236e3d2e4e0e4e7342668e8" open Function (update) open Relation namespace Turing namespace ToPartrec inductive Code | zero' | succ | tail | cons : Code → Code → Code | comp : Code → Code → Code | case : Code → Code → Code | fix : Code → Code deriving DecidableEq, Inhabited #align turing.to_partrec.code Turing.ToPartrec.Code #align turing.to_partrec.code.zero' Turing.ToPartrec.Code.zero' #align turing.to_partrec.code.succ Turing.ToPartrec.Code.succ #align turing.to_partrec.code.tail Turing.ToPartrec.Code.tail #align turing.to_partrec.code.cons Turing.ToPartrec.Code.cons #align turing.to_partrec.code.comp Turing.ToPartrec.Code.comp #align turing.to_partrec.code.case Turing.ToPartrec.Code.case #align turing.to_partrec.code.fix Turing.ToPartrec.Code.fix def Code.eval : Code → List ℕ →. List ℕ | Code.zero' => fun v => pure (0 :: v) | Code.succ => fun v => pure [v.headI.succ] | Code.tail => fun v => pure v.tail | Code.cons f fs => fun v => do let n ← Code.eval f v let ns ← Code.eval fs v pure (n.headI :: ns) | Code.comp f g => fun v => g.eval v >>= f.eval | Code.case f g => fun v => v.headI.rec (f.eval v.tail) fun y _ => g.eval (y::v.tail) | Code.fix f => PFun.fix fun v => (f.eval v).map fun v => if v.headI = 0 then Sum.inl v.tail else Sum.inr v.tail #align turing.to_partrec.code.eval Turing.ToPartrec.Code.eval inductive Cont | halt | cons₁ : Code → List ℕ → Cont → Cont | cons₂ : List ℕ → Cont → Cont | comp : Code → Cont → Cont | fix : Code → Cont → Cont deriving Inhabited #align turing.to_partrec.cont Turing.ToPartrec.Cont #align turing.to_partrec.cont.halt Turing.ToPartrec.Cont.halt #align turing.to_partrec.cont.cons₁ Turing.ToPartrec.Cont.cons₁ #align turing.to_partrec.cont.cons₂ Turing.ToPartrec.Cont.cons₂ #align turing.to_partrec.cont.comp Turing.ToPartrec.Cont.comp #align turing.to_partrec.cont.fix Turing.ToPartrec.Cont.fix def Cont.eval : Cont → List ℕ →. List ℕ | Cont.halt => pure | Cont.cons₁ fs as k => fun v => do let ns ← Code.eval fs as Cont.eval k (v.headI :: ns) | Cont.cons₂ ns k => fun v => Cont.eval k (ns.headI :: v) | Cont.comp f k => fun v => Code.eval f v >>= Cont.eval k | Cont.fix f k => fun v => if v.headI = 0 then k.eval v.tail else f.fix.eval v.tail >>= k.eval #align turing.to_partrec.cont.eval Turing.ToPartrec.Cont.eval inductive Cfg | halt : List ℕ → Cfg | ret : Cont → List ℕ → Cfg deriving Inhabited #align turing.to_partrec.cfg Turing.ToPartrec.Cfg #align turing.to_partrec.cfg.halt Turing.ToPartrec.Cfg.halt #align turing.to_partrec.cfg.ret Turing.ToPartrec.Cfg.ret def stepNormal : Code → Cont → List ℕ → Cfg | Code.zero' => fun k v => Cfg.ret k (0::v) | Code.succ => fun k v => Cfg.ret k [v.headI.succ] | Code.tail => fun k v => Cfg.ret k v.tail | Code.cons f fs => fun k v => stepNormal f (Cont.cons₁ fs v k) v | Code.comp f g => fun k v => stepNormal g (Cont.comp f k) v | Code.case f g => fun k v => v.headI.rec (stepNormal f k v.tail) fun y _ => stepNormal g k (y::v.tail) | Code.fix f => fun k v => stepNormal f (Cont.fix f k) v #align turing.to_partrec.step_normal Turing.ToPartrec.stepNormal def stepRet : Cont → List ℕ → Cfg | Cont.halt, v => Cfg.halt v | Cont.cons₁ fs as k, v => stepNormal fs (Cont.cons₂ v k) as | Cont.cons₂ ns k, v => stepRet k (ns.headI :: v) | Cont.comp f k, v => stepNormal f k v | Cont.fix f k, v => if v.headI = 0 then stepRet k v.tail else stepNormal f (Cont.fix f k) v.tail #align turing.to_partrec.step_ret Turing.ToPartrec.stepRet def step : Cfg → Option Cfg | Cfg.halt _ => none | Cfg.ret k v => some (stepRet k v) #align turing.to_partrec.step Turing.ToPartrec.step def Cont.then : Cont → Cont → Cont | Cont.halt => fun k' => k' | Cont.cons₁ fs as k => fun k' => Cont.cons₁ fs as (k.then k') | Cont.cons₂ ns k => fun k' => Cont.cons₂ ns (k.then k') | Cont.comp f k => fun k' => Cont.comp f (k.then k') | Cont.fix f k => fun k' => Cont.fix f (k.then k') #align turing.to_partrec.cont.then Turing.ToPartrec.Cont.then theorem Cont.then_eval {k k' : Cont} {v} : (k.then k').eval v = k.eval v >>= k'.eval := by induction' k with _ _ _ _ _ _ _ _ _ k_ih _ _ k_ih generalizing v <;> simp only [Cont.eval, Cont.then, bind_assoc, pure_bind, *] · simp only [← k_ih] · split_ifs <;> [rfl; simp only [← k_ih, bind_assoc]] #align turing.to_partrec.cont.then_eval Turing.ToPartrec.Cont.then_eval def Cfg.then : Cfg → Cont → Cfg | Cfg.halt v => fun k' => stepRet k' v | Cfg.ret k v => fun k' => Cfg.ret (k.then k') v #align turing.to_partrec.cfg.then Turing.ToPartrec.Cfg.then theorem stepNormal_then (c) (k k' : Cont) (v) : stepNormal c (k.then k') v = (stepNormal c k v).then k' := by induction c generalizing k v with simp only [Cont.then, stepNormal, *] | cons c c' ih _ => rw [← ih, Cont.then] | comp c c' _ ih' => rw [← ih', Cont.then] | case => cases v.headI <;> simp only [Nat.rec_zero] | fix c ih => rw [← ih, Cont.then] | _ => simp only [Cfg.then] #align turing.to_partrec.step_normal_then Turing.ToPartrec.stepNormal_then
Mathlib/Computability/TMToPartrec.lean
581
593
theorem stepRet_then {k k' : Cont} {v} : stepRet (k.then k') v = (stepRet k v).then k' := by
induction k generalizing v with simp only [Cont.then, stepRet, *] | cons₁ => rw [← stepNormal_then] rfl | comp => rw [← stepNormal_then] | fix _ _ k_ih => split_ifs · rw [← k_ih] · rw [← stepNormal_then] rfl | _ => simp only [Cfg.then]
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic #align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9" open Nat section Euler section Legendre open ZMod variable (p : ℕ) [Fact p.Prime] def legendreSym (a : ℤ) : ℤ := quadraticChar (ZMod p) a #align legendre_sym legendreSym namespace legendreSym theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc · by_cases ha : (a : ZMod p) = 0 · rw [legendreSym, ha, quadraticChar_zero, zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne'] norm_cast · have := (ringChar_zmod_n p).symm.trans hc -- p = 2 subst p rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha] revert ha push_cast generalize (a : ZMod 2) = b; fin_cases b · tauto · simp · convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p) exact (card p).symm #align legendre_sym.eq_pow legendreSym.eq_pow theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = 1 ∨ legendreSym p a = -1 := quadraticChar_dichotomy ha #align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a = -1 ↔ ¬legendreSym p a = 1 := quadraticChar_eq_neg_one_iff_not_one ha #align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 := quadraticChar_eq_zero_iff #align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff @[simp] theorem at_zero : legendreSym p 0 = 0 := by rw [legendreSym, Int.cast_zero, MulChar.map_zero] #align legendre_sym.at_zero legendreSym.at_zero @[simp] theorem at_one : legendreSym p 1 = 1 := by rw [legendreSym, Int.cast_one, MulChar.map_one] #align legendre_sym.at_one legendreSym.at_one protected theorem mul (a b : ℤ) : legendreSym p (a * b) = legendreSym p a * legendreSym p b := by simp [legendreSym, Int.cast_mul, map_mul, quadraticCharFun_mul] #align legendre_sym.mul legendreSym.mul @[simps] def hom : ℤ →*₀ ℤ where toFun := legendreSym p map_zero' := at_zero p map_one' := at_one p map_mul' := legendreSym.mul p #align legendre_sym.hom legendreSym.hom theorem sq_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p a ^ 2 = 1 := quadraticChar_sq_one ha #align legendre_sym.sq_one legendreSym.sq_one
Mathlib/NumberTheory/LegendreSymbol/Basic.lean
179
182
theorem sq_one' {a : ℤ} (ha : (a : ZMod p) ≠ 0) : legendreSym p (a ^ 2) = 1 := by
dsimp only [legendreSym] rw [Int.cast_pow] exact quadraticChar_sq_one' ha
import Mathlib.Algebra.MvPolynomial.Equiv import Mathlib.Algebra.MvPolynomial.Supported import Mathlib.LinearAlgebra.LinearIndependent import Mathlib.RingTheory.Adjoin.Basic import Mathlib.RingTheory.Algebraic import Mathlib.RingTheory.MvPolynomial.Basic #align_import ring_theory.algebraic_independent from "leanprover-community/mathlib"@"949dc57e616a621462062668c9f39e4e17b64b69" noncomputable section open Function Set Subalgebra MvPolynomial Algebra open scoped Classical universe x u v w variable {ι : Type*} {ι' : Type*} (R : Type*) {K : Type*} variable {A : Type*} {A' A'' : Type*} {V : Type u} {V' : Type*} variable (x : ι → A) variable [CommRing R] [CommRing A] [CommRing A'] [CommRing A''] variable [Algebra R A] [Algebra R A'] [Algebra R A''] variable {a b : R} def AlgebraicIndependent : Prop := Injective (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A) #align algebraic_independent AlgebraicIndependent variable {R} {x} theorem algebraicIndependent_iff_ker_eq_bot : AlgebraicIndependent R x ↔ RingHom.ker (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A).toRingHom = ⊥ := RingHom.injective_iff_ker_eq_bot _ #align algebraic_independent_iff_ker_eq_bot algebraicIndependent_iff_ker_eq_bot theorem algebraicIndependent_iff : AlgebraicIndependent R x ↔ ∀ p : MvPolynomial ι R, MvPolynomial.aeval (x : ι → A) p = 0 → p = 0 := injective_iff_map_eq_zero _ #align algebraic_independent_iff algebraicIndependent_iff theorem AlgebraicIndependent.eq_zero_of_aeval_eq_zero (h : AlgebraicIndependent R x) : ∀ p : MvPolynomial ι R, MvPolynomial.aeval (x : ι → A) p = 0 → p = 0 := algebraicIndependent_iff.1 h #align algebraic_independent.eq_zero_of_aeval_eq_zero AlgebraicIndependent.eq_zero_of_aeval_eq_zero theorem algebraicIndependent_iff_injective_aeval : AlgebraicIndependent R x ↔ Injective (MvPolynomial.aeval x : MvPolynomial ι R →ₐ[R] A) := Iff.rfl #align algebraic_independent_iff_injective_aeval algebraicIndependent_iff_injective_aeval @[simp] theorem algebraicIndependent_empty_type_iff [IsEmpty ι] : AlgebraicIndependent R x ↔ Injective (algebraMap R A) := by have : aeval x = (Algebra.ofId R A).comp (@isEmptyAlgEquiv R ι _ _).toAlgHom := by ext i exact IsEmpty.elim' ‹IsEmpty ι› i rw [AlgebraicIndependent, this, ← Injective.of_comp_iff' _ (@isEmptyAlgEquiv R ι _ _).bijective] rfl #align algebraic_independent_empty_type_iff algebraicIndependent_empty_type_iff namespace AlgebraicIndependent variable (hx : AlgebraicIndependent R x) theorem algebraMap_injective : Injective (algebraMap R A) := by simpa [Function.comp] using (Injective.of_comp_iff (algebraicIndependent_iff_injective_aeval.1 hx) MvPolynomial.C).2 (MvPolynomial.C_injective _ _) #align algebraic_independent.algebra_map_injective AlgebraicIndependent.algebraMap_injective theorem linearIndependent : LinearIndependent R x := by rw [linearIndependent_iff_injective_total] have : Finsupp.total ι A R x = (MvPolynomial.aeval x).toLinearMap.comp (Finsupp.total ι _ R X) := by ext simp rw [this] refine hx.comp ?_ rw [← linearIndependent_iff_injective_total] exact linearIndependent_X _ _ #align algebraic_independent.linear_independent AlgebraicIndependent.linearIndependent protected theorem injective [Nontrivial R] : Injective x := hx.linearIndependent.injective #align algebraic_independent.injective AlgebraicIndependent.injective theorem ne_zero [Nontrivial R] (i : ι) : x i ≠ 0 := hx.linearIndependent.ne_zero i #align algebraic_independent.ne_zero AlgebraicIndependent.ne_zero theorem comp (f : ι' → ι) (hf : Function.Injective f) : AlgebraicIndependent R (x ∘ f) := by intro p q simpa [aeval_rename, (rename_injective f hf).eq_iff] using @hx (rename f p) (rename f q) #align algebraic_independent.comp AlgebraicIndependent.comp theorem coe_range : AlgebraicIndependent R ((↑) : range x → A) := by simpa using hx.comp _ (rangeSplitting_injective x) #align algebraic_independent.coe_range AlgebraicIndependent.coe_range
Mathlib/RingTheory/AlgebraicIndependent.lean
138
149
theorem map {f : A →ₐ[R] A'} (hf_inj : Set.InjOn f (adjoin R (range x))) : AlgebraicIndependent R (f ∘ x) := by
have : aeval (f ∘ x) = f.comp (aeval x) := by ext; simp have h : ∀ p : MvPolynomial ι R, aeval x p ∈ (@aeval R _ _ _ _ _ ((↑) : range x → A)).range := by intro p rw [AlgHom.mem_range] refine ⟨MvPolynomial.rename (codRestrict x (range x) mem_range_self) p, ?_⟩ simp [Function.comp, aeval_rename] intro x y hxy rw [this] at hxy rw [adjoin_eq_range] at hf_inj exact hx (hf_inj (h x) (h y) hxy)
import Mathlib.Algebra.BigOperators.Pi import Mathlib.Algebra.BigOperators.Ring import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Algebra.BigOperators.Fin import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Data.Finsupp.Fin import Mathlib.Data.Finsupp.Indicator #align_import algebra.big_operators.finsupp from "leanprover-community/mathlib"@"842328d9df7e96fd90fc424e115679c15fb23a71" noncomputable section open Finset Function variable {α ι γ A B C : Type*} [AddCommMonoid A] [AddCommMonoid B] [AddCommMonoid C] variable {t : ι → A → C} (h0 : ∀ i, t i 0 = 0) (h1 : ∀ i x y, t i (x + y) = t i x + t i y) variable {s : Finset α} {f : α → ι →₀ A} (i : ι) variable (g : ι →₀ A) (k : ι → A → γ → B) (x : γ) variable {β M M' N P G H R S : Type*} namespace Finsupp section SumProd @[to_additive "`sum f g` is the sum of `g a (f a)` over the support of `f`. "] def prod [Zero M] [CommMonoid N] (f : α →₀ M) (g : α → M → N) : N := ∏ a ∈ f.support, g a (f a) #align finsupp.prod Finsupp.prod #align finsupp.sum Finsupp.sum variable [Zero M] [Zero M'] [CommMonoid N] @[to_additive] theorem prod_of_support_subset (f : α →₀ M) {s : Finset α} (hs : f.support ⊆ s) (g : α → M → N) (h : ∀ i ∈ s, g i 0 = 1) : f.prod g = ∏ x ∈ s, g x (f x) := by refine Finset.prod_subset hs fun x hxs hx => h x hxs ▸ (congr_arg (g x) ?_) exact not_mem_support_iff.1 hx #align finsupp.prod_of_support_subset Finsupp.prod_of_support_subset #align finsupp.sum_of_support_subset Finsupp.sum_of_support_subset @[to_additive] theorem prod_fintype [Fintype α] (f : α →₀ M) (g : α → M → N) (h : ∀ i, g i 0 = 1) : f.prod g = ∏ i, g i (f i) := f.prod_of_support_subset (subset_univ _) g fun x _ => h x #align finsupp.prod_fintype Finsupp.prod_fintype #align finsupp.sum_fintype Finsupp.sum_fintype @[to_additive (attr := simp)]
Mathlib/Algebra/BigOperators/Finsupp.lean
69
75
theorem prod_single_index {a : α} {b : M} {h : α → M → N} (h_zero : h a 0 = 1) : (single a b).prod h = h a b := calc (single a b).prod h = ∏ x ∈ {a}, h x (single a b x) := prod_of_support_subset _ support_single_subset h fun x hx => (mem_singleton.1 hx).symm ▸ h_zero _ = h a b := by
simp
import Mathlib.Dynamics.Ergodic.AddCircle import Mathlib.MeasureTheory.Covering.LiminfLimsup #align_import number_theory.well_approximable from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" open Set Filter Function Metric MeasureTheory open scoped MeasureTheory Topology Pointwise @[to_additive "In a seminormed additive group `A`, given `n : ℕ` and `δ : ℝ`, `approxAddOrderOf A n δ` is the set of elements within a distance `δ` of a point of order `n`."] def approxOrderOf (A : Type*) [SeminormedGroup A] (n : ℕ) (δ : ℝ) : Set A := thickening δ {y | orderOf y = n} #align approx_order_of approxOrderOf #align approx_add_order_of approxAddOrderOf @[to_additive mem_approx_add_orderOf_iff] theorem mem_approxOrderOf_iff {A : Type*} [SeminormedGroup A] {n : ℕ} {δ : ℝ} {a : A} : a ∈ approxOrderOf A n δ ↔ ∃ b : A, orderOf b = n ∧ a ∈ ball b δ := by simp only [approxOrderOf, thickening_eq_biUnion_ball, mem_iUnion₂, mem_setOf_eq, exists_prop] #align mem_approx_order_of_iff mem_approxOrderOf_iff #align mem_approx_add_order_of_iff mem_approx_add_orderOf_iff @[to_additive addWellApproximable "In a seminormed additive group `A`, given a sequence of distances `δ₁, δ₂, ...`, `addWellApproximable A δ` is the limsup as `n → ∞` of the sets `approxAddOrderOf A n δₙ`. Thus, it is the set of points that lie in infinitely many of the sets `approxAddOrderOf A n δₙ`."] def wellApproximable (A : Type*) [SeminormedGroup A] (δ : ℕ → ℝ) : Set A := blimsup (fun n => approxOrderOf A n (δ n)) atTop fun n => 0 < n #align well_approximable wellApproximable #align add_well_approximable addWellApproximable @[to_additive mem_add_wellApproximable_iff] theorem mem_wellApproximable_iff {A : Type*} [SeminormedGroup A] {δ : ℕ → ℝ} {a : A} : a ∈ wellApproximable A δ ↔ a ∈ blimsup (fun n => approxOrderOf A n (δ n)) atTop fun n => 0 < n := Iff.rfl #align mem_well_approximable_iff mem_wellApproximable_iff #align mem_add_well_approximable_iff mem_add_wellApproximable_iff namespace approxOrderOf variable {A : Type*} [SeminormedCommGroup A] {a : A} {m n : ℕ} (δ : ℝ) @[to_additive] theorem image_pow_subset_of_coprime (hm : 0 < m) (hmn : n.Coprime m) : (fun (y : A) => y ^ m) '' approxOrderOf A n δ ⊆ approxOrderOf A n (m * δ) := by rintro - ⟨a, ha, rfl⟩ obtain ⟨b, hb, hab⟩ := mem_approxOrderOf_iff.mp ha replace hb : b ^ m ∈ {u : A | orderOf u = n} := by rw [← hb] at hmn ⊢; exact hmn.orderOf_pow apply ball_subset_thickening hb ((m : ℝ) • δ) convert pow_mem_ball hm hab using 1 simp only [nsmul_eq_mul, Algebra.id.smul_eq_mul] #align approx_order_of.image_pow_subset_of_coprime approxOrderOf.image_pow_subset_of_coprime #align approx_add_order_of.image_nsmul_subset_of_coprime approxAddOrderOf.image_nsmul_subset_of_coprime @[to_additive]
Mathlib/NumberTheory/WellApproximable.lean
121
129
theorem image_pow_subset (n : ℕ) (hm : 0 < m) : (fun (y : A) => y ^ m) '' approxOrderOf A (n * m) δ ⊆ approxOrderOf A n (m * δ) := by
rintro - ⟨a, ha, rfl⟩ obtain ⟨b, hb : orderOf b = n * m, hab : a ∈ ball b δ⟩ := mem_approxOrderOf_iff.mp ha replace hb : b ^ m ∈ {y : A | orderOf y = n} := by rw [mem_setOf_eq, orderOf_pow' b hm.ne', hb, Nat.gcd_mul_left_left, n.mul_div_cancel hm] apply ball_subset_thickening hb (m * δ) convert pow_mem_ball hm hab using 1 simp only [nsmul_eq_mul]
import Mathlib.Order.Filter.Lift import Mathlib.Topology.Defs.Filter #align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40" noncomputable section open Set Filter universe u v w x def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T) (sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T) (union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where IsOpen X := Xᶜ ∈ T isOpen_univ := by simp [empty_mem] isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht isOpen_sUnion s hs := by simp only [Set.compl_sUnion] exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy #align topological_space.of_closed TopologicalSpace.ofClosed section TopologicalSpace variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*} {x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop} open Topology lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl #align is_open_mk isOpen_mk @[ext] protected theorem TopologicalSpace.ext : ∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g | ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl #align topological_space_eq TopologicalSpace.ext section variable [TopologicalSpace X] end protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} : t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s := ⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩ #align topological_space_eq_iff TopologicalSpace.ext_iff theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s := rfl #align is_open_fold isOpen_fold variable [TopologicalSpace X] theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) := isOpen_sUnion (forall_mem_range.2 h) #align is_open_Union isOpen_iUnion theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋃ i ∈ s, f i) := isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi #align is_open_bUnion isOpen_biUnion theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩) #align is_open.union IsOpen.union lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) : IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩ rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter] exact isOpen_iUnion fun i ↦ h i @[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim #align is_open_empty isOpen_empty theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) : (∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) := Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by simp only [sInter_insert, forall_mem_insert] at h ⊢ exact h.1.inter (ih h.2) #align is_open_sInter Set.Finite.isOpen_sInter theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h) #align is_open_bInter Set.Finite.isOpen_biInter theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) : IsOpen (⋂ i, s i) := (finite_range _).isOpen_sInter (forall_mem_range.2 h) #align is_open_Inter isOpen_iInter_of_finite theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := s.finite_toSet.isOpen_biInter h #align is_open_bInter_finset isOpen_biInter_finset @[simp] -- Porting note: added `simp` theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*] #align is_open_const isOpen_const theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } := IsOpen.inter #align is_open.and IsOpen.and @[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s := ⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩ #align is_open_compl_iff isOpen_compl_iff theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} : t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by rw [TopologicalSpace.ext_iff, compl_surjective.forall] simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂] alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed -- Porting note (#10756): new lemma theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩ @[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const #align is_closed_empty isClosed_empty @[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const #align is_closed_univ isClosed_univ theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter #align is_closed.union IsClosed.union theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion #align is_closed_sInter isClosed_sInter theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) := isClosed_sInter <| forall_mem_range.2 h #align is_closed_Inter isClosed_iInter theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋂ i ∈ s, f i) := isClosed_iInter fun i => isClosed_iInter <| h i #align is_closed_bInter isClosed_biInter @[simp] theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by rw [← isOpen_compl_iff, compl_compl] #align is_closed_compl_iff isClosed_compl_iff alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff #align is_open.is_closed_compl IsOpen.isClosed_compl theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) := IsOpen.inter h₁ h₂.isOpen_compl #align is_open.sdiff IsOpen.sdiff theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by rw [← isOpen_compl_iff] at * rw [compl_inter] exact IsOpen.union h₁ h₂ #align is_closed.inter IsClosed.inter theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) := IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂) #align is_closed.sdiff IsClosed.sdiff theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact hs.isOpen_biInter h #align is_closed_bUnion Set.Finite.isClosed_biUnion lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := s.finite_toSet.isClosed_biUnion h theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) : IsClosed (⋃ i, s i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact isOpen_iInter_of_finite h #align is_closed_Union isClosed_iUnion_of_finite theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) : IsClosed { x | p x → q x } := by simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq #align is_closed_imp isClosed_imp theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } := isOpen_compl_iff.mpr #align is_closed.not IsClosed.not theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm] #align mem_interior mem_interiorₓ @[simp] theorem isOpen_interior : IsOpen (interior s) := isOpen_sUnion fun _ => And.left #align is_open_interior isOpen_interior theorem interior_subset : interior s ⊆ s := sUnion_subset fun _ => And.right #align interior_subset interior_subset theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s := subset_sUnion_of_mem ⟨h₂, h₁⟩ #align interior_maximal interior_maximal theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s := interior_subset.antisymm (interior_maximal (Subset.refl s) h) #align is_open.interior_eq IsOpen.interior_eq theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s := ⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩ #align interior_eq_iff_is_open interior_eq_iff_isOpen theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and] #align subset_interior_iff_is_open subset_interior_iff_isOpen theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t := ⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩ #align is_open.subset_interior_iff IsOpen.subset_interior_iff theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := ⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ => htU.trans (interior_maximal hUs hU)⟩ #align subset_interior_iff subset_interior_iff lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by simp [interior] @[mono, gcongr] theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t := interior_maximal (Subset.trans interior_subset h) isOpen_interior #align interior_mono interior_mono @[simp] theorem interior_empty : interior (∅ : Set X) = ∅ := isOpen_empty.interior_eq #align interior_empty interior_empty @[simp] theorem interior_univ : interior (univ : Set X) = univ := isOpen_univ.interior_eq #align interior_univ interior_univ @[simp] theorem interior_eq_univ : interior s = univ ↔ s = univ := ⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩ #align interior_eq_univ interior_eq_univ @[simp] theorem interior_interior : interior (interior s) = interior s := isOpen_interior.interior_eq #align interior_interior interior_interior @[simp] theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t := (Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <| interior_maximal (inter_subset_inter interior_subset interior_subset) <| isOpen_interior.inter isOpen_interior #align interior_inter interior_inter theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := hs.induction_on (by simp) <| by intros; simp [*] theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) : interior (⋂₀ S) = ⋂ s ∈ S, interior s := by rw [sInter_eq_biInter, hS.interior_biInter] @[simp] theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := s.finite_toSet.interior_biInter f #align finset.interior_Inter Finset.interior_iInter @[simp] theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) : interior (⋂ i, f i) = ⋂ i, interior (f i) := by rw [← sInter_range, (finite_range f).interior_sInter, biInter_range] #align interior_Inter interior_iInter_of_finite theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s) (h₂ : interior t = ∅) : interior (s ∪ t) = interior s := have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ => by_contradiction fun hx₂ : x ∉ s => have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂ have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff] have : u \ s ⊆ ∅ := by rwa [h₂] at this this ⟨hx₁, hx₂⟩ Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left) #align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by rw [← subset_interior_iff_isOpen] simp only [subset_def, mem_interior] #align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) := subset_iInter fun _ => interior_mono <| iInter_subset _ _ #align interior_Inter_subset interior_iInter_subset theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) : interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) := (interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _ #align interior_Inter₂_subset interior_iInter₂_subset theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s := calc interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter] _ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _ #align interior_sInter_subset interior_sInter_subset theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) := h.lift' fun _ _ ↦ interior_mono theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦ mem_of_superset (mem_lift' hs) interior_subset theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l := le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi @[simp] theorem isClosed_closure : IsClosed (closure s) := isClosed_sInter fun _ => And.left #align is_closed_closure isClosed_closure theorem subset_closure : s ⊆ closure s := subset_sInter fun _ => And.right #align subset_closure subset_closure theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h => hP (subset_closure h) #align not_mem_of_not_mem_closure not_mem_of_not_mem_closure theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t := sInter_subset_of_mem ⟨h₂, h₁⟩ #align closure_minimal closure_minimal theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) : Disjoint (closure s) t := disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl #align disjoint.closure_left Disjoint.closure_left theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) : Disjoint s (closure t) := (hd.symm.closure_left hs).symm #align disjoint.closure_right Disjoint.closure_right theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s := Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure #align is_closed.closure_eq IsClosed.closure_eq theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s := closure_minimal (Subset.refl _) hs #align is_closed.closure_subset IsClosed.closure_subset theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t := ⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩ #align is_closed.closure_subset_iff IsClosed.closure_subset_iff theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) : x ∈ s ↔ closure ({x} : Set X) ⊆ s := (hs.closure_subset_iff.trans Set.singleton_subset_iff).symm #align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset @[mono, gcongr] theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t := closure_minimal (Subset.trans h subset_closure) isClosed_closure #align closure_mono closure_mono theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ => closure_mono #align monotone_closure monotone_closure theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure] #align diff_subset_closure_iff diff_subset_closure_iff theorem closure_inter_subset_inter_closure (s t : Set X) : closure (s ∩ t) ⊆ closure s ∩ closure t := (monotone_closure X).map_inf_le s t #align closure_inter_subset_inter_closure closure_inter_subset_inter_closure theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by rw [subset_closure.antisymm h]; exact isClosed_closure #align is_closed_of_closure_subset isClosed_of_closure_subset theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s := ⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩ #align closure_eq_iff_is_closed closure_eq_iff_isClosed theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s := ⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩ #align closure_subset_iff_is_closed closure_subset_iff_isClosed @[simp] theorem closure_empty : closure (∅ : Set X) = ∅ := isClosed_empty.closure_eq #align closure_empty closure_empty @[simp] theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ := ⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩ #align closure_empty_iff closure_empty_iff @[simp] theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff] #align closure_nonempty_iff closure_nonempty_iff alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff #align set.nonempty.of_closure Set.Nonempty.of_closure #align set.nonempty.closure Set.Nonempty.closure @[simp] theorem closure_univ : closure (univ : Set X) = univ := isClosed_univ.closure_eq #align closure_univ closure_univ @[simp] theorem closure_closure : closure (closure s) = closure s := isClosed_closure.closure_eq #align closure_closure closure_closure theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by rw [interior, closure, compl_sUnion, compl_image_set_of] simp only [compl_subset_compl, isOpen_compl_iff] #align closure_eq_compl_interior_compl closure_eq_compl_interior_compl @[simp] theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by simp [closure_eq_compl_interior_compl, compl_inter] #align closure_union closure_union theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by simp [closure_eq_compl_interior_compl, hs.interior_biInter] theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) : closure (⋃₀ S) = ⋃ s ∈ S, closure s := by rw [sUnion_eq_biUnion, hS.closure_biUnion] @[simp] theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := s.finite_toSet.closure_biUnion f #align finset.closure_bUnion Finset.closure_biUnion @[simp] theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) : closure (⋃ i, f i) = ⋃ i, closure (f i) := by rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range] #align closure_Union closure_iUnion_of_finite theorem interior_subset_closure : interior s ⊆ closure s := Subset.trans interior_subset subset_closure #align interior_subset_closure interior_subset_closure @[simp] theorem interior_compl : interior sᶜ = (closure s)ᶜ := by simp [closure_eq_compl_interior_compl] #align interior_compl interior_compl @[simp] theorem closure_compl : closure sᶜ = (interior s)ᶜ := by simp [closure_eq_compl_interior_compl] #align closure_compl closure_compl theorem mem_closure_iff : x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty := ⟨fun h o oo ao => by_contradiction fun os => have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩ closure_minimal this (isClosed_compl_iff.2 oo) h ao, fun H _ ⟨h₁, h₂⟩ => by_contradiction fun nc => let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc hc (h₂ hs)⟩ #align mem_closure_iff mem_closure_iff theorem closure_inter_open_nonempty_iff (h : IsOpen t) : (closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty := ⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h => h.mono <| inf_le_inf_right t subset_closure⟩ #align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure := le_lift'.2 fun _ h => mem_of_superset h subset_closure #align filter.le_lift'_closure Filter.le_lift'_closure theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) := h.lift' (monotone_closure X) #align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l := le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi)) l.le_lift'_closure #align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self @[simp] theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ := ⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h => h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩ #align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot theorem dense_iff_closure_eq : Dense s ↔ closure s = univ := eq_univ_iff_forall.symm #align dense_iff_closure_eq dense_iff_closure_eq alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq #align dense.closure_eq Dense.closure_eq theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by rw [dense_iff_closure_eq, closure_compl, compl_univ_iff] #align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ := interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl] #align dense.interior_compl Dense.interior_compl @[simp] theorem dense_closure : Dense (closure s) ↔ Dense s := by rw [Dense, Dense, closure_closure] #align dense_closure dense_closure protected alias ⟨_, Dense.closure⟩ := dense_closure alias ⟨Dense.of_closure, _⟩ := dense_closure #align dense.of_closure Dense.of_closure #align dense.closure Dense.closure @[simp] theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial #align dense_univ dense_univ theorem dense_iff_inter_open : Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by constructor <;> intro h · rintro U U_op ⟨x, x_in⟩ exact mem_closure_iff.1 (h _) U U_op x_in · intro x rw [mem_closure_iff] intro U U_op x_in exact h U U_op ⟨_, x_in⟩ #align dense_iff_inter_open dense_iff_inter_open alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open #align dense.inter_open_nonempty Dense.inter_open_nonempty theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U) (hne : U.Nonempty) : ∃ x ∈ s, x ∈ U := let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne ⟨x, hx.2, hx.1⟩ #align dense.exists_mem_open Dense.exists_mem_open theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X := ⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ => let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩ ⟨y, hy.2⟩⟩ #align dense.nonempty_iff Dense.nonempty_iff theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty := hs.nonempty_iff.2 h #align dense.nonempty Dense.nonempty @[mono] theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x => closure_mono h (hd x) #align dense.mono Dense.mono theorem dense_compl_singleton_iff_not_open : Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by constructor · intro hd ho exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _) · refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_ obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩ exact ho hU #align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open @[simp] theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s := rfl #align closure_diff_interior closure_diff_interior lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq, ← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter] @[simp] theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure] #align closure_diff_frontier closure_diff_frontier @[simp] theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure, inter_eq_self_of_subset_right interior_subset, empty_union] #align self_diff_frontier self_diff_frontier theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by rw [closure_compl, frontier, diff_eq] #align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure theorem frontier_subset_closure : frontier s ⊆ closure s := diff_subset #align frontier_subset_closure frontier_subset_closure theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s := frontier_subset_closure.trans hs.closure_eq.subset #align is_closed.frontier_subset IsClosed.frontier_subset theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s := diff_subset_diff closure_closure.subset <| interior_mono subset_closure #align frontier_closure_subset frontier_closure_subset theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s := diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset #align frontier_interior_subset frontier_interior_subset @[simp] theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm] #align frontier_compl frontier_compl @[simp] theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier] #align frontier_univ frontier_univ @[simp] theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier] #align frontier_empty frontier_empty theorem frontier_inter_subset (s t : Set X) : frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union] refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_ simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc, inter_comm (closure t)] #align frontier_inter_subset frontier_inter_subset theorem frontier_union_subset (s t : Set X) : frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ #align frontier_union_subset frontier_union_subset theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by rw [frontier, hs.closure_eq] #align is_closed.frontier_eq IsClosed.frontier_eq theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by rw [frontier, hs.interior_eq] #align is_open.frontier_eq IsOpen.frontier_eq theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by rw [hs.frontier_eq, inter_diff_self] #align is_open.inter_frontier_eq IsOpen.inter_frontier_eq theorem isClosed_frontier : IsClosed (frontier s) := by rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure #align is_closed_frontier isClosed_frontier theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by have A : frontier s = s \ interior s := h.frontier_eq have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset have C : interior (frontier s) ⊆ frontier s := interior_subset have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) := subset_inter B (by simpa [A] using C) rwa [inter_diff_self, subset_empty_iff] at this #align interior_frontier interior_frontier theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s := (union_diff_cancel interior_subset_closure).symm #align closure_eq_interior_union_frontier closure_eq_interior_union_frontier theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s := (union_diff_cancel' interior_subset subset_closure).symm #align closure_eq_self_union_frontier closure_eq_self_union_frontier theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t := subset_compl_iff_disjoint_right.1 <| frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht #align disjoint.frontier_left Disjoint.frontier_left theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) := (hd.symm.frontier_left hs).symm #align disjoint.frontier_right Disjoint.frontier_right theorem frontier_eq_inter_compl_interior : frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior] #align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior theorem compl_frontier_eq_union_interior : (frontier s)ᶜ = interior s ∪ interior sᶜ := by rw [frontier_eq_inter_compl_interior] simp only [compl_inter, compl_compl] #align compl_frontier_eq_union_interior compl_frontier_eq_union_interior theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and] #align nhds_def' nhds_def' theorem nhds_basis_opens (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by rw [nhds_def] exact hasBasis_biInf_principal (fun s ⟨has, hs⟩ t ⟨hat, ht⟩ => ⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩) ⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩ #align nhds_basis_opens nhds_basis_opens theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl := ⟨fun t => (nhds_basis_opens x).mem_iff.trans <| compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩ #align nhds_basis_closeds nhds_basis_closeds @[simp] theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x := (nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) := lift'_nhds_interior x ▸ h.lift'_interior theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def] #align le_nhds_iff le_nhds_iff theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf #align nhds_le_of_le nhds_le_of_le theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := (nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ => ⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩ #align mem_nhds_iff mem_nhds_iffₓ theorem eventually_nhds_iff {p : X → Prop} : (∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t := mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq] #align eventually_nhds_iff eventually_nhds_iff theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x := mem_interior.trans mem_nhds_iff.symm #align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds theorem map_nhds {f : X → α} : map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) := ((nhds_basis_opens x).map f).eq_biInf #align map_nhds map_nhds theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H => let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs #align mem_of_mem_nhds mem_of_mem_nhds theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x := mem_of_mem_nhds h #align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x := mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩ #align is_open.mem_nhds IsOpen.mem_nhds protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s := ⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩ #align is_open.mem_nhds_iff IsOpen.mem_nhds_iff theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x := hs.isOpen_compl.mem_nhds (mem_compl hx) #align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) : ∀ᶠ x in 𝓝 x, x ∈ s := IsOpen.mem_nhds hs hx #align is_open.eventually_mem IsOpen.eventually_mem theorem nhds_basis_opens' (x : X) : (𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by convert nhds_basis_opens x using 2 exact and_congr_left_iff.2 IsOpen.mem_nhds_iff #align nhds_basis_opens' nhds_basis_opens' theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := ⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩ #align exists_open_set_nhds exists_open_set_nhds theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) : ∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U := exists_open_set_nhds (by simpa using h) #align exists_open_set_nhds' exists_open_set_nhds' theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : ∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x := let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩ #align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds @[simp] theorem eventually_eventually_nhds {p : X → Prop} : (∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x := ⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩ #align eventually_eventually_nhds eventually_eventually_nhds @[simp] theorem frequently_frequently_nhds {p : X → Prop} : (∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by rw [← not_iff_not] simp only [not_frequently, eventually_eventually_nhds] #align frequently_frequently_nhds frequently_frequently_nhds @[simp] theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x := eventually_eventually_nhds #align eventually_mem_nhds eventually_mem_nhds @[simp] theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x := Filter.ext fun _ => eventually_eventually_nhds #align nhds_bind_nhds nhds_bind_nhds @[simp] theorem eventually_eventuallyEq_nhds {f g : X → α} : (∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x := h.self_of_nhds #align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds @[simp] theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} : (∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g := eventually_eventually_nhds #align eventually_eventually_le_nhds eventually_eventuallyLE_nhds theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) : ∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g := h.eventually_nhds #align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) : (∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s := ((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp] #align all_mem_nhds all_mem_nhds theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t) (l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l := all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt) #align all_mem_nhds_filter all_mem_nhds_filter theorem tendsto_nhds {f : α → X} {l : Filter α} : Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l := all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _ #align tendsto_nhds tendsto_nhds theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} : Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U := (atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le] #align tendsto_at_top_nhds tendsto_atTop_nhds theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) := tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha #align tendsto_const_nhds tendsto_const_nhds theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι] {u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) := Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds #align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs #align pure_le_nhds pure_le_nhds theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) := (tendsto_pure_pure f a).mono_right (pure_le_nhds _) #align tendsto_pure_nhds tendsto_pure_nhds theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) : Tendsto f atTop (𝓝 (f ⊤)) := (tendsto_atTop_pure f).mono_right (pure_le_nhds _) #align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds @[simp] instance nhds_neBot : NeBot (𝓝 x) := neBot_of_le (pure_le_nhds x) #align nhds_ne_bot nhds_neBot theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) : Tendsto f l (𝓝 x) := tendsto_const_nhds.congr' (.symm h) theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) : Tendsto f l (𝓝 x) := tendsto_nhds_of_eventually_eq hf theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) := h #align cluster_pt.ne_bot ClusterPt.neBot theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop} {sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) : ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty := hX.inf_basis_neBot_iff hF #align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff theorem clusterPt_iff {F : Filter X} : ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty := inf_neBot_iff #align cluster_pt_iff clusterPt_iff theorem clusterPt_iff_not_disjoint {F : Filter X} : ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by rw [disjoint_iff, ClusterPt, neBot_iff] theorem clusterPt_principal_iff : ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty := inf_principal_neBot_iff #align cluster_pt_principal_iff clusterPt_principal_iff theorem clusterPt_principal_iff_frequently : ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff] #align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by rwa [ClusterPt, inf_eq_right.mpr H] #align cluster_pt.of_le_nhds ClusterPt.of_le_nhds theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) : ClusterPt x f := ClusterPt.of_le_nhds H #align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds' theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot] #align cluster_pt.of_nhds_le ClusterPt.of_nhds_le theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g := NeBot.mono H <| inf_le_inf_left _ h #align cluster_pt.mono ClusterPt.mono theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f := H.mono inf_le_left #align cluster_pt.of_inf_left ClusterPt.of_inf_left theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x g := H.mono inf_le_right #align cluster_pt.of_inf_right ClusterPt.of_inf_right theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x := ⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩ #align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔ ∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map] rfl #align map_cluster_pt_iff mapClusterPt_iff theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) : MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap, ← le_inf_iff, exists_ultrafilter_iff, inf_comm] theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β} {u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β} {u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) : MapClusterPt x F u := by have := calc map (u ∘ φ) p = map u (map φ p) := map_map _ ≤ map u F := map_mono h have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this exact neBot_of_le this #align map_cluster_pt_of_comp mapClusterPt_of_comp theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by rw [AccPt, nhdsWithin, ClusterPt, inf_assoc] #align acc_iff_cluster acc_iff_cluster theorem acc_principal_iff_cluster (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq] #align acc_principal_iff_cluster acc_principal_iff_cluster theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc, @and_comm (¬_ = x)] #align acc_pt_iff_nhds accPt_iff_nhds theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm] #align acc_pt_iff_frequently accPt_iff_frequently theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G := NeBot.mono h (inf_le_inf_left _ hFG) #align acc_pt.mono AccPt.mono theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } := Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq] #align interior_eq_nhds' interior_eq_nhds' theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } := interior_eq_nhds'.trans <| by simp only [le_principal_iff] #align interior_eq_nhds interior_eq_nhds @[simp] theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x := ⟨fun h => mem_of_superset h interior_subset, fun h => IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩ #align interior_mem_nhds interior_mem_nhds theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } := interior_eq_nhds' #align interior_set_of_eq interior_setOf_eq theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by simp only [← interior_setOf_eq, isOpen_interior] #align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by simp_rw [subset_def, mem_interior_iff_mem_nhds] #align subset_interior_iff_nhds subset_interior_iff_nhds theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := calc IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm _ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf] #align is_open_iff_nhds isOpen_iff_nhds theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} : t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x := ⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩ alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x := isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff #align is_open_iff_mem_nhds isOpen_iff_mem_nhds theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s := isOpen_iff_mem_nhds #align is_open_iff_eventually isOpen_iff_eventually
Mathlib/Topology/Basic.lean
1,192
1,194
theorem isOpen_iff_ultrafilter : IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by
simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter]
import Mathlib.MeasureTheory.Measure.Regular import Mathlib.Topology.Semicontinuous import Mathlib.MeasureTheory.Integral.Bochner import Mathlib.Topology.Instances.EReal #align_import measure_theory.integral.vitali_caratheodory from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" open scoped ENNReal NNReal open MeasureTheory MeasureTheory.Measure variable {α : Type*} [TopologicalSpace α] [MeasurableSpace α] [BorelSpace α] (μ : Measure α) [WeaklyRegular μ] namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc theorem SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge (f : α →ₛ ℝ≥0) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) : ∃ g : α → ℝ≥0, (∀ x, f x ≤ g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by induction' f using MeasureTheory.SimpleFunc.induction with c s hs f₁ f₂ _ h₁ h₂ generalizing ε · let f := SimpleFunc.piecewise s hs (SimpleFunc.const α c) (SimpleFunc.const α 0) by_cases h : ∫⁻ x, f x ∂μ = ⊤ · refine ⟨fun _ => c, fun x => ?_, lowerSemicontinuous_const, by simp only [_root_.top_add, le_top, h]⟩ simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise] exact Set.indicator_le_self _ _ _ by_cases hc : c = 0 · refine ⟨fun _ => 0, ?_, lowerSemicontinuous_const, ?_⟩ · classical simp only [hc, Set.indicator_zero', Pi.zero_apply, SimpleFunc.const_zero, imp_true_iff, eq_self_iff_true, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, le_zero_iff] · simp only [lintegral_const, zero_mul, zero_le, ENNReal.coe_zero] have ne_top : μ s ≠ ⊤ := by classical simpa [f, hs, hc, lt_top_iff_ne_top, true_and_iff, SimpleFunc.coe_const, Function.const_apply, lintegral_const, ENNReal.coe_indicator, Set.univ_inter, ENNReal.coe_ne_top, MeasurableSet.univ, ENNReal.mul_eq_top, SimpleFunc.const_zero, or_false_iff, lintegral_indicator, ENNReal.coe_eq_zero, Ne, not_false_iff, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, false_and_iff, restrict_apply] using h have : μ s < μ s + ε / c := by have : (0 : ℝ≥0∞) < ε / c := ENNReal.div_pos_iff.2 ⟨ε0, ENNReal.coe_ne_top⟩ simpa using ENNReal.add_lt_add_left ne_top this obtain ⟨u, su, u_open, μu⟩ : ∃ (u : _), u ⊇ s ∧ IsOpen u ∧ μ u < μ s + ε / c := s.exists_isOpen_lt_of_lt _ this refine ⟨Set.indicator u fun _ => c, fun x => ?_, u_open.lowerSemicontinuous_indicator (zero_le _), ?_⟩ · simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise] exact Set.indicator_le_indicator_of_subset su (fun x => zero_le _) _ · suffices (c : ℝ≥0∞) * μ u ≤ c * μ s + ε by classical simpa only [ENNReal.coe_indicator, u_open.measurableSet, lintegral_indicator, lintegral_const, MeasurableSet.univ, Measure.restrict_apply, Set.univ_inter, const_zero, coe_piecewise, coe_const, coe_zero, Set.piecewise_eq_indicator, Function.const_apply, hs] calc (c : ℝ≥0∞) * μ u ≤ c * (μ s + ε / c) := mul_le_mul_left' μu.le _ _ = c * μ s + ε := by simp_rw [mul_add] rw [ENNReal.mul_div_cancel' _ ENNReal.coe_ne_top] simpa using hc · rcases h₁ (ENNReal.half_pos ε0).ne' with ⟨g₁, f₁_le_g₁, g₁cont, g₁int⟩ rcases h₂ (ENNReal.half_pos ε0).ne' with ⟨g₂, f₂_le_g₂, g₂cont, g₂int⟩ refine ⟨fun x => g₁ x + g₂ x, fun x => add_le_add (f₁_le_g₁ x) (f₂_le_g₂ x), g₁cont.add g₂cont, ?_⟩ simp only [SimpleFunc.coe_add, ENNReal.coe_add, Pi.add_apply] rw [lintegral_add_left f₁.measurable.coe_nnreal_ennreal, lintegral_add_left g₁cont.measurable.coe_nnreal_ennreal] convert add_le_add g₁int g₂int using 1 conv_lhs => rw [← ENNReal.add_halves ε] abel #align measure_theory.simple_func.exists_le_lower_semicontinuous_lintegral_ge MeasureTheory.SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge -- Porting note: errors with -- `ambiguous identifier 'eapproxDiff', possible interpretations:` -- `[SimpleFunc.eapproxDiff, SimpleFunc.eapproxDiff]` -- open SimpleFunc (eapproxDiff tsum_eapproxDiff) theorem exists_le_lowerSemicontinuous_lintegral_ge (f : α → ℝ≥0∞) (hf : Measurable f) {ε : ℝ≥0∞} (εpos : ε ≠ 0) : ∃ g : α → ℝ≥0∞, (∀ x, f x ≤ g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by rcases ENNReal.exists_pos_sum_of_countable' εpos ℕ with ⟨δ, δpos, hδ⟩ have : ∀ n, ∃ g : α → ℝ≥0, (∀ x, SimpleFunc.eapproxDiff f n x ≤ g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ) + δ n := fun n => SimpleFunc.exists_le_lowerSemicontinuous_lintegral_ge μ (SimpleFunc.eapproxDiff f n) (δpos n).ne' choose g f_le_g gcont hg using this refine ⟨fun x => ∑' n, g n x, fun x => ?_, ?_, ?_⟩ · rw [← SimpleFunc.tsum_eapproxDiff f hf] exact ENNReal.tsum_le_tsum fun n => ENNReal.coe_le_coe.2 (f_le_g n x) · refine lowerSemicontinuous_tsum fun n => ?_ exact ENNReal.continuous_coe.comp_lowerSemicontinuous (gcont n) fun x y hxy => ENNReal.coe_le_coe.2 hxy · calc ∫⁻ x, ∑' n : ℕ, g n x ∂μ = ∑' n, ∫⁻ x, g n x ∂μ := by rw [lintegral_tsum fun n => (gcont n).measurable.coe_nnreal_ennreal.aemeasurable] _ ≤ ∑' n, ((∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ) + δ n) := ENNReal.tsum_le_tsum hg _ = ∑' n, ∫⁻ x, SimpleFunc.eapproxDiff f n x ∂μ + ∑' n, δ n := ENNReal.tsum_add _ ≤ (∫⁻ x : α, f x ∂μ) + ε := by refine add_le_add ?_ hδ.le rw [← lintegral_tsum] · simp_rw [SimpleFunc.tsum_eapproxDiff f hf, le_refl] · intro n; exact (SimpleFunc.measurable _).coe_nnreal_ennreal.aemeasurable #align measure_theory.exists_le_lower_semicontinuous_lintegral_ge MeasureTheory.exists_le_lowerSemicontinuous_lintegral_ge theorem exists_lt_lowerSemicontinuous_lintegral_ge [SigmaFinite μ] (f : α → ℝ≥0) (fmeas : Measurable f) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) : ∃ g : α → ℝ≥0∞, (∀ x, (f x : ℝ≥0∞) < g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by have : ε / 2 ≠ 0 := (ENNReal.half_pos ε0).ne' rcases exists_pos_lintegral_lt_of_sigmaFinite μ this with ⟨w, wpos, wmeas, wint⟩ let f' x := ((f x + w x : ℝ≥0) : ℝ≥0∞) rcases exists_le_lowerSemicontinuous_lintegral_ge μ f' (fmeas.add wmeas).coe_nnreal_ennreal this with ⟨g, le_g, gcont, gint⟩ refine ⟨g, fun x => ?_, gcont, ?_⟩ · calc (f x : ℝ≥0∞) < f' x := by simpa only [← ENNReal.coe_lt_coe, add_zero] using add_lt_add_left (wpos x) (f x) _ ≤ g x := le_g x · calc (∫⁻ x : α, g x ∂μ) ≤ (∫⁻ x : α, f x + w x ∂μ) + ε / 2 := gint _ = ((∫⁻ x : α, f x ∂μ) + ∫⁻ x : α, w x ∂μ) + ε / 2 := by rw [lintegral_add_right _ wmeas.coe_nnreal_ennreal] _ ≤ (∫⁻ x : α, f x ∂μ) + ε / 2 + ε / 2 := add_le_add_right (add_le_add_left wint.le _) _ _ = (∫⁻ x : α, f x ∂μ) + ε := by rw [add_assoc, ENNReal.add_halves] #align measure_theory.exists_lt_lower_semicontinuous_lintegral_ge MeasureTheory.exists_lt_lowerSemicontinuous_lintegral_ge theorem exists_lt_lowerSemicontinuous_lintegral_ge_of_aemeasurable [SigmaFinite μ] (f : α → ℝ≥0) (fmeas : AEMeasurable f μ) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) : ∃ g : α → ℝ≥0∞, (∀ x, (f x : ℝ≥0∞) < g x) ∧ LowerSemicontinuous g ∧ (∫⁻ x, g x ∂μ) ≤ (∫⁻ x, f x ∂μ) + ε := by have : ε / 2 ≠ 0 := (ENNReal.half_pos ε0).ne' rcases exists_lt_lowerSemicontinuous_lintegral_ge μ (fmeas.mk f) fmeas.measurable_mk this with ⟨g0, f_lt_g0, g0_cont, g0_int⟩ rcases exists_measurable_superset_of_null fmeas.ae_eq_mk with ⟨s, hs, smeas, μs⟩ rcases exists_le_lowerSemicontinuous_lintegral_ge μ (s.indicator fun _x => ∞) (measurable_const.indicator smeas) this with ⟨g1, le_g1, g1_cont, g1_int⟩ refine ⟨fun x => g0 x + g1 x, fun x => ?_, g0_cont.add g1_cont, ?_⟩ · by_cases h : x ∈ s · have := le_g1 x simp only [h, Set.indicator_of_mem, top_le_iff] at this simp [this] · have : f x = fmeas.mk f x := by rw [Set.compl_subset_comm] at hs; exact hs h rw [this] exact (f_lt_g0 x).trans_le le_self_add · calc ∫⁻ x, g0 x + g1 x ∂μ = (∫⁻ x, g0 x ∂μ) + ∫⁻ x, g1 x ∂μ := lintegral_add_left g0_cont.measurable _ _ ≤ (∫⁻ x, f x ∂μ) + ε / 2 + (0 + ε / 2) := by refine add_le_add ?_ ?_ · convert g0_int using 2 exact lintegral_congr_ae (fmeas.ae_eq_mk.fun_comp _) · convert g1_int simp only [smeas, μs, lintegral_const, Set.univ_inter, MeasurableSet.univ, lintegral_indicator, mul_zero, restrict_apply] _ = (∫⁻ x, f x ∂μ) + ε := by simp only [add_assoc, ENNReal.add_halves, zero_add] #align measure_theory.exists_lt_lower_semicontinuous_lintegral_ge_of_ae_measurable MeasureTheory.exists_lt_lowerSemicontinuous_lintegral_ge_of_aemeasurable variable {μ} theorem exists_lt_lowerSemicontinuous_integral_gt_nnreal [SigmaFinite μ] (f : α → ℝ≥0) (fint : Integrable (fun x => (f x : ℝ)) μ) {ε : ℝ} (εpos : 0 < ε) : ∃ g : α → ℝ≥0∞, (∀ x, (f x : ℝ≥0∞) < g x) ∧ LowerSemicontinuous g ∧ (∀ᵐ x ∂μ, g x < ⊤) ∧ Integrable (fun x => (g x).toReal) μ ∧ (∫ x, (g x).toReal ∂μ) < (∫ x, ↑(f x) ∂μ) + ε := by have fmeas : AEMeasurable f μ := by convert fint.aestronglyMeasurable.real_toNNReal.aemeasurable simp only [Real.toNNReal_coe] lift ε to ℝ≥0 using εpos.le obtain ⟨δ, δpos, hδε⟩ : ∃ δ : ℝ≥0, 0 < δ ∧ δ < ε := exists_between εpos have int_f_ne_top : (∫⁻ a : α, f a ∂μ) ≠ ∞ := (hasFiniteIntegral_iff_ofNNReal.1 fint.hasFiniteIntegral).ne rcases exists_lt_lowerSemicontinuous_lintegral_ge_of_aemeasurable μ f fmeas (ENNReal.coe_ne_zero.2 δpos.ne') with ⟨g, f_lt_g, gcont, gint⟩ have gint_ne : (∫⁻ x : α, g x ∂μ) ≠ ∞ := ne_top_of_le_ne_top (by simpa) gint have g_lt_top : ∀ᵐ x : α ∂μ, g x < ∞ := ae_lt_top gcont.measurable gint_ne have Ig : (∫⁻ a : α, ENNReal.ofReal (g a).toReal ∂μ) = ∫⁻ a : α, g a ∂μ := by apply lintegral_congr_ae filter_upwards [g_lt_top] with _ hx simp only [hx.ne, ENNReal.ofReal_toReal, Ne, not_false_iff] refine ⟨g, f_lt_g, gcont, g_lt_top, ?_, ?_⟩ · refine ⟨gcont.measurable.ennreal_toReal.aemeasurable.aestronglyMeasurable, ?_⟩ simp only [hasFiniteIntegral_iff_norm, Real.norm_eq_abs, abs_of_nonneg ENNReal.toReal_nonneg] convert gint_ne.lt_top using 1 · rw [integral_eq_lintegral_of_nonneg_ae, integral_eq_lintegral_of_nonneg_ae] · calc ENNReal.toReal (∫⁻ a : α, ENNReal.ofReal (g a).toReal ∂μ) = ENNReal.toReal (∫⁻ a : α, g a ∂μ) := by congr 1 _ ≤ ENNReal.toReal ((∫⁻ a : α, f a ∂μ) + δ) := by apply ENNReal.toReal_mono _ gint simpa using int_f_ne_top _ = ENNReal.toReal (∫⁻ a : α, f a ∂μ) + δ := by rw [ENNReal.toReal_add int_f_ne_top ENNReal.coe_ne_top, ENNReal.coe_toReal] _ < ENNReal.toReal (∫⁻ a : α, f a ∂μ) + ε := add_lt_add_left hδε _ _ = (∫⁻ a : α, ENNReal.ofReal ↑(f a) ∂μ).toReal + ε := by simp · apply Filter.eventually_of_forall fun x => _; simp · exact fmeas.coe_nnreal_real.aestronglyMeasurable · apply Filter.eventually_of_forall fun x => _; simp · apply gcont.measurable.ennreal_toReal.aemeasurable.aestronglyMeasurable #align measure_theory.exists_lt_lower_semicontinuous_integral_gt_nnreal MeasureTheory.exists_lt_lowerSemicontinuous_integral_gt_nnreal theorem SimpleFunc.exists_upperSemicontinuous_le_lintegral_le (f : α →ₛ ℝ≥0) (int_f : (∫⁻ x, f x ∂μ) ≠ ∞) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) : ∃ g : α → ℝ≥0, (∀ x, g x ≤ f x) ∧ UpperSemicontinuous g ∧ (∫⁻ x, f x ∂μ) ≤ (∫⁻ x, g x ∂μ) + ε := by induction' f using MeasureTheory.SimpleFunc.induction with c s hs f₁ f₂ _ h₁ h₂ generalizing ε · by_cases hc : c = 0 · refine ⟨fun _ => 0, ?_, upperSemicontinuous_const, ?_⟩ · classical simp only [hc, Set.indicator_zero', Pi.zero_apply, SimpleFunc.const_zero, imp_true_iff, eq_self_iff_true, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, le_zero_iff] · classical simp only [hc, Set.indicator_zero', lintegral_const, zero_mul, Pi.zero_apply, SimpleFunc.const_zero, zero_add, zero_le', SimpleFunc.coe_zero, Set.piecewise_eq_indicator, ENNReal.coe_zero, SimpleFunc.coe_piecewise, zero_le] have μs_lt_top : μ s < ∞ := by classical simpa only [hs, hc, lt_top_iff_ne_top, true_and_iff, SimpleFunc.coe_const, or_false_iff, lintegral_const, ENNReal.coe_indicator, Set.univ_inter, ENNReal.coe_ne_top, Measure.restrict_apply MeasurableSet.univ, ENNReal.mul_eq_top, SimpleFunc.const_zero, Function.const_apply, lintegral_indicator, ENNReal.coe_eq_zero, Ne, not_false_iff, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, false_and_iff] using int_f have : (0 : ℝ≥0∞) < ε / c := ENNReal.div_pos_iff.2 ⟨ε0, ENNReal.coe_ne_top⟩ obtain ⟨F, Fs, F_closed, μF⟩ : ∃ (F : _), F ⊆ s ∧ IsClosed F ∧ μ s < μ F + ε / c := hs.exists_isClosed_lt_add μs_lt_top.ne this.ne' refine ⟨Set.indicator F fun _ => c, fun x => ?_, F_closed.upperSemicontinuous_indicator (zero_le _), ?_⟩ · simp only [SimpleFunc.coe_const, SimpleFunc.const_zero, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise] exact Set.indicator_le_indicator_of_subset Fs (fun x => zero_le _) _ · suffices (c : ℝ≥0∞) * μ s ≤ c * μ F + ε by classical simpa only [hs, F_closed.measurableSet, SimpleFunc.coe_const, Function.const_apply, lintegral_const, ENNReal.coe_indicator, Set.univ_inter, MeasurableSet.univ, SimpleFunc.const_zero, lintegral_indicator, SimpleFunc.coe_zero, Set.piecewise_eq_indicator, SimpleFunc.coe_piecewise, Measure.restrict_apply] calc (c : ℝ≥0∞) * μ s ≤ c * (μ F + ε / c) := mul_le_mul_left' μF.le _ _ = c * μ F + ε := by simp_rw [mul_add] rw [ENNReal.mul_div_cancel' _ ENNReal.coe_ne_top] simpa using hc · have A : ((∫⁻ x : α, f₁ x ∂μ) + ∫⁻ x : α, f₂ x ∂μ) ≠ ⊤ := by rwa [← lintegral_add_left f₁.measurable.coe_nnreal_ennreal] rcases h₁ (ENNReal.add_ne_top.1 A).1 (ENNReal.half_pos ε0).ne' with ⟨g₁, f₁_le_g₁, g₁cont, g₁int⟩ rcases h₂ (ENNReal.add_ne_top.1 A).2 (ENNReal.half_pos ε0).ne' with ⟨g₂, f₂_le_g₂, g₂cont, g₂int⟩ refine ⟨fun x => g₁ x + g₂ x, fun x => add_le_add (f₁_le_g₁ x) (f₂_le_g₂ x), g₁cont.add g₂cont, ?_⟩ simp only [SimpleFunc.coe_add, ENNReal.coe_add, Pi.add_apply] rw [lintegral_add_left f₁.measurable.coe_nnreal_ennreal, lintegral_add_left g₁cont.measurable.coe_nnreal_ennreal] convert add_le_add g₁int g₂int using 1 conv_lhs => rw [← ENNReal.add_halves ε] abel #align measure_theory.simple_func.exists_upper_semicontinuous_le_lintegral_le MeasureTheory.SimpleFunc.exists_upperSemicontinuous_le_lintegral_le
Mathlib/MeasureTheory/Integral/VitaliCaratheodory.lean
386
413
theorem exists_upperSemicontinuous_le_lintegral_le (f : α → ℝ≥0) (int_f : (∫⁻ x, f x ∂μ) ≠ ∞) {ε : ℝ≥0∞} (ε0 : ε ≠ 0) : ∃ g : α → ℝ≥0, (∀ x, g x ≤ f x) ∧ UpperSemicontinuous g ∧ (∫⁻ x, f x ∂μ) ≤ (∫⁻ x, g x ∂μ) + ε := by
obtain ⟨fs, fs_le_f, int_fs⟩ : ∃ fs : α →ₛ ℝ≥0, (∀ x, fs x ≤ f x) ∧ (∫⁻ x, f x ∂μ) ≤ (∫⁻ x, fs x ∂μ) + ε / 2 := by -- Porting note: need to name identifier (not `this`), because `conv_rhs at this` errors have aux := ENNReal.lt_add_right int_f (ENNReal.half_pos ε0).ne' conv_rhs at aux => rw [lintegral_eq_nnreal (fun x => (f x : ℝ≥0∞)) μ] erw [ENNReal.biSup_add] at aux <;> [skip; exact ⟨0, fun x => by simp⟩] simp only [lt_iSup_iff] at aux rcases aux with ⟨fs, fs_le_f, int_fs⟩ refine ⟨fs, fun x => by simpa only [ENNReal.coe_le_coe] using fs_le_f x, ?_⟩ convert int_fs.le rw [← SimpleFunc.lintegral_eq_lintegral] simp only [SimpleFunc.coe_map, Function.comp_apply] have int_fs_lt_top : (∫⁻ x, fs x ∂μ) ≠ ∞ := by refine ne_top_of_le_ne_top int_f (lintegral_mono fun x => ?_) simpa only [ENNReal.coe_le_coe] using fs_le_f x obtain ⟨g, g_le_fs, gcont, gint⟩ : ∃ g : α → ℝ≥0, (∀ x, g x ≤ fs x) ∧ UpperSemicontinuous g ∧ (∫⁻ x, fs x ∂μ) ≤ (∫⁻ x, g x ∂μ) + ε / 2 := fs.exists_upperSemicontinuous_le_lintegral_le int_fs_lt_top (ENNReal.half_pos ε0).ne' refine ⟨g, fun x => (g_le_fs x).trans (fs_le_f x), gcont, ?_⟩ calc (∫⁻ x, f x ∂μ) ≤ (∫⁻ x, fs x ∂μ) + ε / 2 := int_fs _ ≤ (∫⁻ x, g x ∂μ) + ε / 2 + ε / 2 := add_le_add gint le_rfl _ = (∫⁻ x, g x ∂μ) + ε := by rw [add_assoc, ENNReal.add_halves]