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import Mathlib.Data.Set.Finite #align_import data.finset.preimage from "leanprover-community/mathlib"@"3365b20c2ffa7c35e47e5209b89ba9abdddf3ffe" assert_not_exists Finset.sum open Set Function universe u v w x variable {α : Type u} {β : Type v} {ι : Sort w} {γ : Type x} namespace Finset section Preimage noncomputable def preimage (s : Finset β) (f : α → β) (hf : Set.InjOn f (f ⁻¹' ↑s)) : Finset α := (s.finite_toSet.preimage hf).toFinset #align finset.preimage Finset.preimage @[simp] theorem mem_preimage {f : α → β} {s : Finset β} {hf : Set.InjOn f (f ⁻¹' ↑s)} {x : α} : x ∈ preimage s f hf ↔ f x ∈ s := Set.Finite.mem_toFinset _ #align finset.mem_preimage Finset.mem_preimage @[simp, norm_cast] theorem coe_preimage {f : α → β} (s : Finset β) (hf : Set.InjOn f (f ⁻¹' ↑s)) : (↑(preimage s f hf) : Set α) = f ⁻¹' ↑s := Set.Finite.coe_toFinset _ #align finset.coe_preimage Finset.coe_preimage @[simp] theorem preimage_empty {f : α → β} : preimage ∅ f (by simp [InjOn]) = ∅ := Finset.coe_injective (by simp) #align finset.preimage_empty Finset.preimage_empty @[simp] theorem preimage_univ {f : α → β} [Fintype α] [Fintype β] (hf) : preimage univ f hf = univ := Finset.coe_injective (by simp) #align finset.preimage_univ Finset.preimage_univ @[simp] theorem preimage_inter [DecidableEq α] [DecidableEq β] {f : α → β} {s t : Finset β} (hs : Set.InjOn f (f ⁻¹' ↑s)) (ht : Set.InjOn f (f ⁻¹' ↑t)) : (preimage (s ∩ t) f fun x₁ hx₁ x₂ hx₂ => hs (mem_of_mem_inter_left hx₁) (mem_of_mem_inter_left hx₂)) = preimage s f hs ∩ preimage t f ht := Finset.coe_injective (by simp) #align finset.preimage_inter Finset.preimage_inter @[simp] theorem preimage_union [DecidableEq α] [DecidableEq β] {f : α → β} {s t : Finset β} (hst) : preimage (s ∪ t) f hst = (preimage s f fun x₁ hx₁ x₂ hx₂ => hst (mem_union_left _ hx₁) (mem_union_left _ hx₂)) ∪ preimage t f fun x₁ hx₁ x₂ hx₂ => hst (mem_union_right _ hx₁) (mem_union_right _ hx₂) := Finset.coe_injective (by simp) #align finset.preimage_union Finset.preimage_union @[simp, nolint simpNF] -- Porting note: linter complains that LHS doesn't simplify theorem preimage_compl [DecidableEq α] [DecidableEq β] [Fintype α] [Fintype β] {f : α → β} (s : Finset β) (hf : Function.Injective f) : preimage sᶜ f hf.injOn = (preimage s f hf.injOn)ᶜ := Finset.coe_injective (by simp) #align finset.preimage_compl Finset.preimage_compl @[simp] lemma preimage_map (f : α ↪ β) (s : Finset α) : (s.map f).preimage f f.injective.injOn = s := coe_injective <| by simp only [coe_preimage, coe_map, Set.preimage_image_eq _ f.injective] #align finset.preimage_map Finset.preimage_map theorem monotone_preimage {f : α → β} (h : Injective f) : Monotone fun s => preimage s f h.injOn := fun _ _ H _ hx => mem_preimage.2 (H <| mem_preimage.1 hx) #align finset.monotone_preimage Finset.monotone_preimage theorem image_subset_iff_subset_preimage [DecidableEq β] {f : α → β} {s : Finset α} {t : Finset β} (hf : Set.InjOn f (f ⁻¹' ↑t)) : s.image f ⊆ t ↔ s ⊆ t.preimage f hf := image_subset_iff.trans <| by simp only [subset_iff, mem_preimage] #align finset.image_subset_iff_subset_preimage Finset.image_subset_iff_subset_preimage theorem map_subset_iff_subset_preimage {f : α ↪ β} {s : Finset α} {t : Finset β} : s.map f ⊆ t ↔ s ⊆ t.preimage f f.injective.injOn := by classical rw [map_eq_image, image_subset_iff_subset_preimage] #align finset.map_subset_iff_subset_preimage Finset.map_subset_iff_subset_preimage theorem image_preimage [DecidableEq β] (f : α → β) (s : Finset β) [∀ x, Decidable (x ∈ Set.range f)] (hf : Set.InjOn f (f ⁻¹' ↑s)) : image f (preimage s f hf) = s.filter fun x => x ∈ Set.range f := Finset.coe_inj.1 <| by simp only [coe_image, coe_preimage, coe_filter, Set.image_preimage_eq_inter_range, ← Set.sep_mem_eq]; rfl #align finset.image_preimage Finset.image_preimage theorem image_preimage_of_bij [DecidableEq β] (f : α → β) (s : Finset β) (hf : Set.BijOn f (f ⁻¹' ↑s) ↑s) : image f (preimage s f hf.injOn) = s := Finset.coe_inj.1 <| by simpa using hf.image_eq #align finset.image_preimage_of_bij Finset.image_preimage_of_bij theorem preimage_subset {f : α ↪ β} {s : Finset β} {t : Finset α} (hs : s ⊆ t.map f) : s.preimage f f.injective.injOn ⊆ t := fun _ h => (mem_map' f).1 (hs (mem_preimage.1 h)) #align finset.preimage_subset Finset.preimage_subset
Mathlib/Data/Finset/Preimage.lean
113
116
theorem subset_map_iff {f : α ↪ β} {s : Finset β} {t : Finset α} : s ⊆ t.map f ↔ ∃ u ⊆ t, s = u.map f := by
classical simp_rw [← coe_subset, coe_map, subset_image_iff, map_eq_image, eq_comm]
import Mathlib.LinearAlgebra.Matrix.BilinearForm import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Vandermonde import Mathlib.LinearAlgebra.Trace import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.PrimitiveElement import Mathlib.FieldTheory.Galois import Mathlib.RingTheory.PowerBasis import Mathlib.FieldTheory.Minpoly.MinpolyDiv #align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" universe u v w z variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T] variable [Algebra R S] [Algebra R T] variable {K L : Type*} [Field K] [Field L] [Algebra K L] variable {ι κ : Type w} [Fintype ι] open FiniteDimensional open LinearMap (BilinForm) open LinearMap open Matrix open scoped Matrix namespace Algebra variable (b : Basis ι R S) variable (R S) noncomputable def trace : S →ₗ[R] R := (LinearMap.trace R S).comp (lmul R S).toLinearMap #align algebra.trace Algebra.trace variable {S} -- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`, -- for example `trace_trace` theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) := rfl #align algebra.trace_apply Algebra.trace_apply theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) : trace R S = 0 := by ext s; simp [trace_apply, LinearMap.trace, h] #align algebra.trace_eq_zero_of_not_exists_basis Algebra.trace_eq_zero_of_not_exists_basis variable {R} -- Can't be a `simp` lemma because it depends on a choice of basis theorem trace_eq_matrix_trace [DecidableEq ι] (b : Basis ι R S) (s : S) : trace R S s = Matrix.trace (Algebra.leftMulMatrix b s) := by rw [trace_apply, LinearMap.trace_eq_matrix_trace _ b, ← toMatrix_lmul_eq]; rfl #align algebra.trace_eq_matrix_trace Algebra.trace_eq_matrix_trace theorem trace_algebraMap_of_basis (x : R) : trace R S (algebraMap R S x) = Fintype.card ι • x := by haveI := Classical.decEq ι rw [trace_apply, LinearMap.trace_eq_matrix_trace R b, Matrix.trace] convert Finset.sum_const x simp [-coe_lmul_eq_mul] #align algebra.trace_algebra_map_of_basis Algebra.trace_algebraMap_of_basis @[simp]
Mathlib/RingTheory/Trace.lean
128
131
theorem trace_algebraMap (x : K) : trace K L (algebraMap K L x) = finrank K L • x := by
by_cases H : ∃ s : Finset L, Nonempty (Basis s K L) · rw [trace_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some] · simp [trace_eq_zero_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis_finset H]
import Mathlib.Combinatorics.SetFamily.Shadow #align_import combinatorics.set_family.compression.uv from "leanprover-community/mathlib"@"6f8ab7de1c4b78a68ab8cf7dd83d549eb78a68a1" open Finset variable {α : Type*} theorem sup_sdiff_injOn [GeneralizedBooleanAlgebra α] (u v : α) : { x | Disjoint u x ∧ v ≤ x }.InjOn fun x => (x ⊔ u) \ v := by rintro a ha b hb hab have h : ((a ⊔ u) \ v) \ u ⊔ v = ((b ⊔ u) \ v) \ u ⊔ v := by dsimp at hab rw [hab] rwa [sdiff_sdiff_comm, ha.1.symm.sup_sdiff_cancel_right, sdiff_sdiff_comm, hb.1.symm.sup_sdiff_cancel_right, sdiff_sup_cancel ha.2, sdiff_sup_cancel hb.2] at h #align sup_sdiff_inj_on sup_sdiff_injOn -- The namespace is here to distinguish from other compressions. namespace UV section GeneralizedBooleanAlgebra variable [GeneralizedBooleanAlgebra α] [DecidableRel (@Disjoint α _ _)] [DecidableRel ((· ≤ ·) : α → α → Prop)] {s : Finset α} {u v a b : α} def compress (u v a : α) : α := if Disjoint u a ∧ v ≤ a then (a ⊔ u) \ v else a #align uv.compress UV.compress theorem compress_of_disjoint_of_le (hua : Disjoint u a) (hva : v ≤ a) : compress u v a = (a ⊔ u) \ v := if_pos ⟨hua, hva⟩ #align uv.compress_of_disjoint_of_le UV.compress_of_disjoint_of_le theorem compress_of_disjoint_of_le' (hva : Disjoint v a) (hua : u ≤ a) : compress u v ((a ⊔ v) \ u) = a := by rw [compress_of_disjoint_of_le disjoint_sdiff_self_right (le_sdiff.2 ⟨(le_sup_right : v ≤ a ⊔ v), hva.mono_right hua⟩), sdiff_sup_cancel (le_sup_of_le_left hua), hva.symm.sup_sdiff_cancel_right] #align uv.compress_of_disjoint_of_le' UV.compress_of_disjoint_of_le' @[simp] theorem compress_self (u a : α) : compress u u a = a := by unfold compress split_ifs with h · exact h.1.symm.sup_sdiff_cancel_right · rfl #align uv.compress_self UV.compress_self @[simp] theorem compress_sdiff_sdiff (a b : α) : compress (a \ b) (b \ a) b = a := by refine (compress_of_disjoint_of_le disjoint_sdiff_self_left sdiff_le).trans ?_ rw [sup_sdiff_self_right, sup_sdiff, disjoint_sdiff_self_right.sdiff_eq_left, sup_eq_right] exact sdiff_sdiff_le #align uv.compress_sdiff_sdiff UV.compress_sdiff_sdiff @[simp] theorem compress_idem (u v a : α) : compress u v (compress u v a) = compress u v a := by unfold compress split_ifs with h h' · rw [le_sdiff_iff.1 h'.2, sdiff_bot, sdiff_bot, sup_assoc, sup_idem] · rfl · rfl #align uv.compress_idem UV.compress_idem variable [DecidableEq α] def compression (u v : α) (s : Finset α) := (s.filter (compress u v · ∈ s)) ∪ (s.image <| compress u v).filter (· ∉ s) #align uv.compression UV.compression @[inherit_doc] scoped[FinsetFamily] notation "𝓒 " => UV.compression open scoped FinsetFamily def IsCompressed (u v : α) (s : Finset α) := 𝓒 u v s = s #align uv.is_compressed UV.IsCompressed theorem compress_injOn : Set.InjOn (compress u v) ↑(s.filter (compress u v · ∉ s)) := by intro a ha b hb hab rw [mem_coe, mem_filter] at ha hb rw [compress] at ha hab split_ifs at ha hab with has · rw [compress] at hb hab split_ifs at hb hab with hbs · exact sup_sdiff_injOn u v has hbs hab · exact (hb.2 hb.1).elim · exact (ha.2 ha.1).elim #align uv.compress_inj_on UV.compress_injOn theorem mem_compression : a ∈ 𝓒 u v s ↔ a ∈ s ∧ compress u v a ∈ s ∨ a ∉ s ∧ ∃ b ∈ s, compress u v b = a := by simp_rw [compression, mem_union, mem_filter, mem_image, and_comm] #align uv.mem_compression UV.mem_compression protected theorem IsCompressed.eq (h : IsCompressed u v s) : 𝓒 u v s = s := h #align uv.is_compressed.eq UV.IsCompressed.eq @[simp] theorem compression_self (u : α) (s : Finset α) : 𝓒 u u s = s := by unfold compression convert union_empty s · ext a rw [mem_filter, compress_self, and_self_iff] · refine eq_empty_of_forall_not_mem fun a ha ↦ ?_ simp_rw [mem_filter, mem_image, compress_self] at ha obtain ⟨⟨b, hb, rfl⟩, hb'⟩ := ha exact hb' hb #align uv.compression_self UV.compression_self theorem isCompressed_self (u : α) (s : Finset α) : IsCompressed u u s := compression_self u s #align uv.is_compressed_self UV.isCompressed_self theorem compress_disjoint : Disjoint (s.filter (compress u v · ∈ s)) ((s.image <| compress u v).filter (· ∉ s)) := disjoint_left.2 fun _a ha₁ ha₂ ↦ (mem_filter.1 ha₂).2 (mem_filter.1 ha₁).1 #align uv.compress_disjoint UV.compress_disjoint theorem compress_mem_compression (ha : a ∈ s) : compress u v a ∈ 𝓒 u v s := by rw [mem_compression] by_cases h : compress u v a ∈ s · rw [compress_idem] exact Or.inl ⟨h, h⟩ · exact Or.inr ⟨h, a, ha, rfl⟩ #align uv.compress_mem_compression UV.compress_mem_compression -- This is a special case of `compress_mem_compression` once we have `compression_idem`. theorem compress_mem_compression_of_mem_compression (ha : a ∈ 𝓒 u v s) : compress u v a ∈ 𝓒 u v s := by rw [mem_compression] at ha ⊢ simp only [compress_idem, exists_prop] obtain ⟨_, ha⟩ | ⟨_, b, hb, rfl⟩ := ha · exact Or.inl ⟨ha, ha⟩ · exact Or.inr ⟨by rwa [compress_idem], b, hb, (compress_idem _ _ _).symm⟩ #align uv.compress_mem_compression_of_mem_compression UV.compress_mem_compression_of_mem_compression @[simp] theorem compression_idem (u v : α) (s : Finset α) : 𝓒 u v (𝓒 u v s) = 𝓒 u v s := by have h : filter (compress u v · ∉ 𝓒 u v s) (𝓒 u v s) = ∅ := filter_false_of_mem fun a ha h ↦ h <| compress_mem_compression_of_mem_compression ha rw [compression, filter_image, h, image_empty, ← h] exact filter_union_filter_neg_eq _ (compression u v s) #align uv.compression_idem UV.compression_idem @[simp] theorem card_compression (u v : α) (s : Finset α) : (𝓒 u v s).card = s.card := by rw [compression, card_union_of_disjoint compress_disjoint, filter_image, card_image_of_injOn compress_injOn, ← card_union_of_disjoint (disjoint_filter_filter_neg s _ _), filter_union_filter_neg_eq] #align uv.card_compression UV.card_compression theorem le_of_mem_compression_of_not_mem (h : a ∈ 𝓒 u v s) (ha : a ∉ s) : u ≤ a := by rw [mem_compression] at h obtain h | ⟨-, b, hb, hba⟩ := h · cases ha h.1 unfold compress at hba split_ifs at hba with h · rw [← hba, le_sdiff] exact ⟨le_sup_right, h.1.mono_right h.2⟩ · cases ne_of_mem_of_not_mem hb ha hba #align uv.le_of_mem_compression_of_not_mem UV.le_of_mem_compression_of_not_mem theorem disjoint_of_mem_compression_of_not_mem (h : a ∈ 𝓒 u v s) (ha : a ∉ s) : Disjoint v a := by rw [mem_compression] at h obtain h | ⟨-, b, hb, hba⟩ := h · cases ha h.1 unfold compress at hba split_ifs at hba · rw [← hba] exact disjoint_sdiff_self_right · cases ne_of_mem_of_not_mem hb ha hba #align uv.disjoint_of_mem_compression_of_not_mem UV.disjoint_of_mem_compression_of_not_mem theorem sup_sdiff_mem_of_mem_compression_of_not_mem (h : a ∈ 𝓒 u v s) (ha : a ∉ s) : (a ⊔ v) \ u ∈ s := by rw [mem_compression] at h obtain h | ⟨-, b, hb, hba⟩ := h · cases ha h.1 unfold compress at hba split_ifs at hba with h · rwa [← hba, sdiff_sup_cancel (le_sup_of_le_left h.2), sup_sdiff_right_self, h.1.symm.sdiff_eq_left] · cases ne_of_mem_of_not_mem hb ha hba #align uv.sup_sdiff_mem_of_mem_compression_of_not_mem UV.sup_sdiff_mem_of_mem_compression_of_not_mem theorem sup_sdiff_mem_of_mem_compression (ha : a ∈ 𝓒 u v s) (hva : v ≤ a) (hua : Disjoint u a) : (a ⊔ u) \ v ∈ s := by rw [mem_compression, compress_of_disjoint_of_le hua hva] at ha obtain ⟨_, ha⟩ | ⟨_, b, hb, rfl⟩ := ha · exact ha have hu : u = ⊥ := by suffices Disjoint u (u \ v) by rwa [(hua.mono_right hva).sdiff_eq_left, disjoint_self] at this refine hua.mono_right ?_ rw [← compress_idem, compress_of_disjoint_of_le hua hva] exact sdiff_le_sdiff_right le_sup_right have hv : v = ⊥ := by rw [← disjoint_self] apply Disjoint.mono_right hva rw [← compress_idem, compress_of_disjoint_of_le hua hva] exact disjoint_sdiff_self_right rwa [hu, hv, compress_self, sup_bot_eq, sdiff_bot] #align uv.sup_sdiff_mem_of_mem_compression UV.sup_sdiff_mem_of_mem_compression
Mathlib/Combinatorics/SetFamily/Compression/UV.lean
276
285
theorem mem_of_mem_compression (ha : a ∈ 𝓒 u v s) (hva : v ≤ a) (hvu : v = ⊥ → u = ⊥) : a ∈ s := by
rw [mem_compression] at ha obtain ha | ⟨_, b, hb, h⟩ := ha · exact ha.1 unfold compress at h split_ifs at h · rw [← h, le_sdiff_iff] at hva rwa [← h, hvu hva, hva, sup_bot_eq, sdiff_bot] · rwa [← h]
import Mathlib.CategoryTheory.NatIso #align_import category_theory.bicategory.basic from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514" namespace CategoryTheory universe w v u open Category Iso -- intended to be used with explicit universe parameters @[nolint checkUnivs] class Bicategory (B : Type u) extends CategoryStruct.{v} B where -- category structure on the collection of 1-morphisms: homCategory : ∀ a b : B, Category.{w} (a ⟶ b) := by infer_instance -- left whiskering: whiskerLeft {a b c : B} (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) : f ≫ g ⟶ f ≫ h -- right whiskering: whiskerRight {a b c : B} {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) : f ≫ h ⟶ g ≫ h -- associator: associator {a b c d : B} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) : (f ≫ g) ≫ h ≅ f ≫ g ≫ h -- left unitor: leftUnitor {a b : B} (f : a ⟶ b) : 𝟙 a ≫ f ≅ f -- right unitor: rightUnitor {a b : B} (f : a ⟶ b) : f ≫ 𝟙 b ≅ f -- axioms for left whiskering: whiskerLeft_id : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerLeft f (𝟙 g) = 𝟙 (f ≫ g) := by aesop_cat whiskerLeft_comp : ∀ {a b c} (f : a ⟶ b) {g h i : b ⟶ c} (η : g ⟶ h) (θ : h ⟶ i), whiskerLeft f (η ≫ θ) = whiskerLeft f η ≫ whiskerLeft f θ := by aesop_cat id_whiskerLeft : ∀ {a b} {f g : a ⟶ b} (η : f ⟶ g), whiskerLeft (𝟙 a) η = (leftUnitor f).hom ≫ η ≫ (leftUnitor g).inv := by aesop_cat comp_whiskerLeft : ∀ {a b c d} (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h'), whiskerLeft (f ≫ g) η = (associator f g h).hom ≫ whiskerLeft f (whiskerLeft g η) ≫ (associator f g h').inv := by aesop_cat -- axioms for right whiskering: id_whiskerRight : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerRight (𝟙 f) g = 𝟙 (f ≫ g) := by aesop_cat comp_whiskerRight : ∀ {a b c} {f g h : a ⟶ b} (η : f ⟶ g) (θ : g ⟶ h) (i : b ⟶ c), whiskerRight (η ≫ θ) i = whiskerRight η i ≫ whiskerRight θ i := by aesop_cat whiskerRight_id : ∀ {a b} {f g : a ⟶ b} (η : f ⟶ g), whiskerRight η (𝟙 b) = (rightUnitor f).hom ≫ η ≫ (rightUnitor g).inv := by aesop_cat whiskerRight_comp : ∀ {a b c d} {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d), whiskerRight η (g ≫ h) = (associator f g h).inv ≫ whiskerRight (whiskerRight η g) h ≫ (associator f' g h).hom := by aesop_cat -- associativity of whiskerings: whisker_assoc : ∀ {a b c d} (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d), whiskerRight (whiskerLeft f η) h = (associator f g h).hom ≫ whiskerLeft f (whiskerRight η h) ≫ (associator f g' h).inv := by aesop_cat -- exchange law of left and right whiskerings: whisker_exchange : ∀ {a b c} {f g : a ⟶ b} {h i : b ⟶ c} (η : f ⟶ g) (θ : h ⟶ i), whiskerLeft f θ ≫ whiskerRight η i = whiskerRight η h ≫ whiskerLeft g θ := by aesop_cat -- pentagon identity: pentagon : ∀ {a b c d e} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e), whiskerRight (associator f g h).hom i ≫ (associator f (g ≫ h) i).hom ≫ whiskerLeft f (associator g h i).hom = (associator (f ≫ g) h i).hom ≫ (associator f g (h ≫ i)).hom := by aesop_cat -- triangle identity: triangle : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), (associator f (𝟙 b) g).hom ≫ whiskerLeft f (leftUnitor g).hom = whiskerRight (rightUnitor f).hom g := by aesop_cat #align category_theory.bicategory CategoryTheory.Bicategory #align category_theory.bicategory.hom_category CategoryTheory.Bicategory.homCategory #align category_theory.bicategory.whisker_left CategoryTheory.Bicategory.whiskerLeft #align category_theory.bicategory.whisker_right CategoryTheory.Bicategory.whiskerRight #align category_theory.bicategory.left_unitor CategoryTheory.Bicategory.leftUnitor #align category_theory.bicategory.right_unitor CategoryTheory.Bicategory.rightUnitor #align category_theory.bicategory.whisker_left_id' CategoryTheory.Bicategory.whiskerLeft_id #align category_theory.bicategory.whisker_left_comp' CategoryTheory.Bicategory.whiskerLeft_comp #align category_theory.bicategory.id_whisker_left' CategoryTheory.Bicategory.id_whiskerLeft #align category_theory.bicategory.comp_whisker_left' CategoryTheory.Bicategory.comp_whiskerLeft #align category_theory.bicategory.id_whisker_right' CategoryTheory.Bicategory.id_whiskerRight #align category_theory.bicategory.comp_whisker_right' CategoryTheory.Bicategory.comp_whiskerRight #align category_theory.bicategory.whisker_right_id' CategoryTheory.Bicategory.whiskerRight_id #align category_theory.bicategory.whisker_right_comp' CategoryTheory.Bicategory.whiskerRight_comp #align category_theory.bicategory.whisker_assoc' CategoryTheory.Bicategory.whisker_assoc #align category_theory.bicategory.whisker_exchange' CategoryTheory.Bicategory.whisker_exchange #align category_theory.bicategory.pentagon' CategoryTheory.Bicategory.pentagon #align category_theory.bicategory.triangle' CategoryTheory.Bicategory.triangle namespace Bicategory scoped infixr:81 " ◁ " => Bicategory.whiskerLeft scoped infixl:81 " ▷ " => Bicategory.whiskerRight scoped notation "α_" => Bicategory.associator scoped notation "λ_" => Bicategory.leftUnitor scoped notation "ρ_" => Bicategory.rightUnitor attribute [instance] homCategory attribute [reassoc] whiskerLeft_comp id_whiskerLeft comp_whiskerLeft comp_whiskerRight whiskerRight_id whiskerRight_comp whisker_assoc whisker_exchange attribute [reassoc (attr := simp)] pentagon triangle attribute [simp] whiskerLeft_id whiskerLeft_comp id_whiskerLeft comp_whiskerLeft id_whiskerRight comp_whiskerRight whiskerRight_id whiskerRight_comp whisker_assoc variable {B : Type u} [Bicategory.{w, v} B] {a b c d e : B} @[reassoc (attr := simp)] theorem whiskerLeft_hom_inv (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) : f ◁ η.hom ≫ f ◁ η.inv = 𝟙 (f ≫ g) := by rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id] #align category_theory.bicategory.hom_inv_whisker_left CategoryTheory.Bicategory.whiskerLeft_hom_inv @[reassoc (attr := simp)] theorem hom_inv_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) : η.hom ▷ h ≫ η.inv ▷ h = 𝟙 (f ≫ h) := by rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight] #align category_theory.bicategory.hom_inv_whisker_right CategoryTheory.Bicategory.hom_inv_whiskerRight @[reassoc (attr := simp)] theorem whiskerLeft_inv_hom (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) : f ◁ η.inv ≫ f ◁ η.hom = 𝟙 (f ≫ h) := by rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id] #align category_theory.bicategory.inv_hom_whisker_left CategoryTheory.Bicategory.whiskerLeft_inv_hom @[reassoc (attr := simp)] theorem inv_hom_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) : η.inv ▷ h ≫ η.hom ▷ h = 𝟙 (g ≫ h) := by rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight] #align category_theory.bicategory.inv_hom_whisker_right CategoryTheory.Bicategory.inv_hom_whiskerRight @[simps] def whiskerLeftIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) : f ≫ g ≅ f ≫ h where hom := f ◁ η.hom inv := f ◁ η.inv #align category_theory.bicategory.whisker_left_iso CategoryTheory.Bicategory.whiskerLeftIso instance whiskerLeft_isIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] : IsIso (f ◁ η) := (whiskerLeftIso f (asIso η)).isIso_hom #align category_theory.bicategory.whisker_left_is_iso CategoryTheory.Bicategory.whiskerLeft_isIso @[simp] theorem inv_whiskerLeft (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] : inv (f ◁ η) = f ◁ inv η := by apply IsIso.inv_eq_of_hom_inv_id simp only [← whiskerLeft_comp, whiskerLeft_id, IsIso.hom_inv_id] #align category_theory.bicategory.inv_whisker_left CategoryTheory.Bicategory.inv_whiskerLeft @[simps!] def whiskerRightIso {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) : f ≫ h ≅ g ≫ h where hom := η.hom ▷ h inv := η.inv ▷ h #align category_theory.bicategory.whisker_right_iso CategoryTheory.Bicategory.whiskerRightIso instance whiskerRight_isIso {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] : IsIso (η ▷ h) := (whiskerRightIso (asIso η) h).isIso_hom #align category_theory.bicategory.whisker_right_is_iso CategoryTheory.Bicategory.whiskerRight_isIso @[simp] theorem inv_whiskerRight {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] : inv (η ▷ h) = inv η ▷ h := by apply IsIso.inv_eq_of_hom_inv_id simp only [← comp_whiskerRight, id_whiskerRight, IsIso.hom_inv_id] #align category_theory.bicategory.inv_whisker_right CategoryTheory.Bicategory.inv_whiskerRight @[reassoc (attr := simp)] theorem pentagon_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i = (α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv := eq_of_inv_eq_inv (by simp) #align category_theory.bicategory.pentagon_inv CategoryTheory.Bicategory.pentagon_inv @[reassoc (attr := simp)] theorem pentagon_inv_inv_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : (α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom = f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv := by rw [← cancel_epi (f ◁ (α_ g h i).inv), ← cancel_mono (α_ (f ≫ g) h i).inv] simp #align category_theory.bicategory.pentagon_inv_inv_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_hom_inv @[reassoc (attr := simp)] theorem pentagon_inv_hom_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : (α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom = (α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv := eq_of_inv_eq_inv (by simp) #align category_theory.bicategory.pentagon_inv_hom_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_inv @[reassoc (attr := simp)] theorem pentagon_hom_inv_inv_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv = (α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i := by simp [← cancel_epi (f ◁ (α_ g h i).inv)] #align category_theory.bicategory.pentagon_hom_inv_inv_inv_inv CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_inv @[reassoc (attr := simp)] theorem pentagon_hom_hom_inv_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : (α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv = (α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom := eq_of_inv_eq_inv (by simp) #align category_theory.bicategory.pentagon_hom_hom_inv_hom_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_hom_hom @[reassoc (attr := simp)] theorem pentagon_hom_inv_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : (α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv = (α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i := by rw [← cancel_epi (α_ f g (h ≫ i)).inv, ← cancel_mono ((α_ f g h).inv ▷ i)] simp #align category_theory.bicategory.pentagon_hom_inv_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_hom @[reassoc (attr := simp)] theorem pentagon_hom_hom_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : (α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv = (α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom := eq_of_inv_eq_inv (by simp) #align category_theory.bicategory.pentagon_hom_hom_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_inv_hom @[reassoc (attr := simp)] theorem pentagon_inv_hom_hom_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : (α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom = (α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom := by simp [← cancel_epi ((α_ f g h).hom ▷ i)] #align category_theory.bicategory.pentagon_inv_hom_hom_hom_hom CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_hom @[reassoc (attr := simp)] theorem pentagon_inv_inv_hom_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) : (α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i = f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv := eq_of_inv_eq_inv (by simp) #align category_theory.bicategory.pentagon_inv_inv_hom_inv_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_inv_inv theorem triangle_assoc_comp_left (f : a ⟶ b) (g : b ⟶ c) : (α_ f (𝟙 b) g).hom ≫ f ◁ (λ_ g).hom = (ρ_ f).hom ▷ g := triangle f g #align category_theory.bicategory.triangle_assoc_comp_left CategoryTheory.Bicategory.triangle_assoc_comp_left @[reassoc (attr := simp)] theorem triangle_assoc_comp_right (f : a ⟶ b) (g : b ⟶ c) : (α_ f (𝟙 b) g).inv ≫ (ρ_ f).hom ▷ g = f ◁ (λ_ g).hom := by rw [← triangle, inv_hom_id_assoc] #align category_theory.bicategory.triangle_assoc_comp_right CategoryTheory.Bicategory.triangle_assoc_comp_right @[reassoc (attr := simp)] theorem triangle_assoc_comp_right_inv (f : a ⟶ b) (g : b ⟶ c) : (ρ_ f).inv ▷ g ≫ (α_ f (𝟙 b) g).hom = f ◁ (λ_ g).inv := by simp [← cancel_mono (f ◁ (λ_ g).hom)] #align category_theory.bicategory.triangle_assoc_comp_right_inv CategoryTheory.Bicategory.triangle_assoc_comp_right_inv @[reassoc (attr := simp)] theorem triangle_assoc_comp_left_inv (f : a ⟶ b) (g : b ⟶ c) : f ◁ (λ_ g).inv ≫ (α_ f (𝟙 b) g).inv = (ρ_ f).inv ▷ g := by simp [← cancel_mono ((ρ_ f).hom ▷ g)] #align category_theory.bicategory.triangle_assoc_comp_left_inv CategoryTheory.Bicategory.triangle_assoc_comp_left_inv @[reassoc] theorem associator_naturality_left {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) : η ▷ g ▷ h ≫ (α_ f' g h).hom = (α_ f g h).hom ≫ η ▷ (g ≫ h) := by simp #align category_theory.bicategory.associator_naturality_left CategoryTheory.Bicategory.associator_naturality_left @[reassoc] theorem associator_inv_naturality_left {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) : η ▷ (g ≫ h) ≫ (α_ f' g h).inv = (α_ f g h).inv ≫ η ▷ g ▷ h := by simp #align category_theory.bicategory.associator_inv_naturality_left CategoryTheory.Bicategory.associator_inv_naturality_left @[reassoc] theorem whiskerRight_comp_symm {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) : η ▷ g ▷ h = (α_ f g h).hom ≫ η ▷ (g ≫ h) ≫ (α_ f' g h).inv := by simp #align category_theory.bicategory.whisker_right_comp_symm CategoryTheory.Bicategory.whiskerRight_comp_symm @[reassoc] theorem associator_naturality_middle (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) : (f ◁ η) ▷ h ≫ (α_ f g' h).hom = (α_ f g h).hom ≫ f ◁ η ▷ h := by simp #align category_theory.bicategory.associator_naturality_middle CategoryTheory.Bicategory.associator_naturality_middle @[reassoc] theorem associator_inv_naturality_middle (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) : f ◁ η ▷ h ≫ (α_ f g' h).inv = (α_ f g h).inv ≫ (f ◁ η) ▷ h := by simp #align category_theory.bicategory.associator_inv_naturality_middle CategoryTheory.Bicategory.associator_inv_naturality_middle @[reassoc] theorem whisker_assoc_symm (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) : f ◁ η ▷ h = (α_ f g h).inv ≫ (f ◁ η) ▷ h ≫ (α_ f g' h).hom := by simp #align category_theory.bicategory.whisker_assoc_symm CategoryTheory.Bicategory.whisker_assoc_symm @[reassoc] theorem associator_naturality_right (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') : (f ≫ g) ◁ η ≫ (α_ f g h').hom = (α_ f g h).hom ≫ f ◁ g ◁ η := by simp #align category_theory.bicategory.associator_naturality_right CategoryTheory.Bicategory.associator_naturality_right @[reassoc] theorem associator_inv_naturality_right (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') : f ◁ g ◁ η ≫ (α_ f g h').inv = (α_ f g h).inv ≫ (f ≫ g) ◁ η := by simp #align category_theory.bicategory.associator_inv_naturality_right CategoryTheory.Bicategory.associator_inv_naturality_right @[reassoc] theorem comp_whiskerLeft_symm (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') : f ◁ g ◁ η = (α_ f g h).inv ≫ (f ≫ g) ◁ η ≫ (α_ f g h').hom := by simp #align category_theory.bicategory.comp_whisker_left_symm CategoryTheory.Bicategory.comp_whiskerLeft_symm @[reassoc] theorem leftUnitor_naturality {f g : a ⟶ b} (η : f ⟶ g) : 𝟙 a ◁ η ≫ (λ_ g).hom = (λ_ f).hom ≫ η := by simp #align category_theory.bicategory.left_unitor_naturality CategoryTheory.Bicategory.leftUnitor_naturality @[reassoc] theorem leftUnitor_inv_naturality {f g : a ⟶ b} (η : f ⟶ g) : η ≫ (λ_ g).inv = (λ_ f).inv ≫ 𝟙 a ◁ η := by simp #align category_theory.bicategory.left_unitor_inv_naturality CategoryTheory.Bicategory.leftUnitor_inv_naturality theorem id_whiskerLeft_symm {f g : a ⟶ b} (η : f ⟶ g) : η = (λ_ f).inv ≫ 𝟙 a ◁ η ≫ (λ_ g).hom := by simp #align category_theory.bicategory.id_whisker_left_symm CategoryTheory.Bicategory.id_whiskerLeft_symm @[reassoc] theorem rightUnitor_naturality {f g : a ⟶ b} (η : f ⟶ g) : η ▷ 𝟙 b ≫ (ρ_ g).hom = (ρ_ f).hom ≫ η := by simp #align category_theory.bicategory.right_unitor_naturality CategoryTheory.Bicategory.rightUnitor_naturality @[reassoc]
Mathlib/CategoryTheory/Bicategory/Basic.lean
404
405
theorem rightUnitor_inv_naturality {f g : a ⟶ b} (η : f ⟶ g) : η ≫ (ρ_ g).inv = (ρ_ f).inv ≫ η ▷ 𝟙 b := by
simp
import Mathlib.Topology.Category.TopCat.Limits.Products #align_import topology.category.Top.limits.pullbacks from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1" -- Porting note: every ML3 decl has an uppercase letter set_option linter.uppercaseLean3 false open TopologicalSpace open CategoryTheory open CategoryTheory.Limits universe v u w noncomputable section namespace TopCat variable {J : Type v} [SmallCategory J] --TODO: Add analogous constructions for `pushout`. theorem coinduced_of_isColimit {F : J ⥤ TopCat.{max v u}} (c : Cocone F) (hc : IsColimit c) : c.pt.str = ⨆ j, (F.obj j).str.coinduced (c.ι.app j) := by let homeo := homeoOfIso (hc.coconePointUniqueUpToIso (colimitCoconeIsColimit F)) ext refine homeo.symm.isOpen_preimage.symm.trans (Iff.trans ?_ isOpen_iSup_iff.symm) exact isOpen_iSup_iff #align Top.coinduced_of_is_colimit TopCat.coinduced_of_isColimit theorem colimit_topology (F : J ⥤ TopCat.{max v u}) : (colimit F).str = ⨆ j, (F.obj j).str.coinduced (colimit.ι F j) := coinduced_of_isColimit _ (colimit.isColimit F) #align Top.colimit_topology TopCat.colimit_topology theorem colimit_isOpen_iff (F : J ⥤ TopCat.{max v u}) (U : Set ((colimit F : _) : Type max v u)) : IsOpen U ↔ ∀ j, IsOpen (colimit.ι F j ⁻¹' U) := by dsimp [topologicalSpace_coe] conv_lhs => rw [colimit_topology F] exact isOpen_iSup_iff #align Top.colimit_is_open_iff TopCat.colimit_isOpen_iff
Mathlib/Topology/Category/TopCat/Limits/Pullbacks.lean
467
478
theorem coequalizer_isOpen_iff (F : WalkingParallelPair ⥤ TopCat.{u}) (U : Set ((colimit F : _) : Type u)) : IsOpen U ↔ IsOpen (colimit.ι F WalkingParallelPair.one ⁻¹' U) := by
rw [colimit_isOpen_iff] constructor · intro H exact H _ · intro H j cases j · rw [← colimit.w F WalkingParallelPairHom.left] exact (F.map WalkingParallelPairHom.left).continuous_toFun.isOpen_preimage _ H · exact H
import Mathlib.AlgebraicTopology.SplitSimplicialObject import Mathlib.AlgebraicTopology.DoldKan.Degeneracies import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.split_simplicial_object from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Limits CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.Idempotents Opposite AlgebraicTopology AlgebraicTopology.DoldKan Simplicial DoldKan namespace SimplicialObject namespace Splitting variable {C : Type*} [Category C] {X : SimplicialObject C} (s : Splitting X) noncomputable def πSummand [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : X.obj Δ ⟶ s.N A.1.unop.len := s.desc Δ (fun B => by by_cases h : B = A · exact eqToHom (by subst h; rfl) · exact 0) #align simplicial_object.splitting.π_summand SimplicialObject.Splitting.πSummand @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_id [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : (s.cofan Δ).inj A ≫ s.πSummand A = 𝟙 _ := by simp [πSummand] #align simplicial_object.splitting.ι_π_summand_eq_id SimplicialObject.Splitting.cofan_inj_πSummand_eq_id @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_zero [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A B : IndexSet Δ) (h : B ≠ A) : (s.cofan Δ).inj A ≫ s.πSummand B = 0 := by dsimp [πSummand] rw [ι_desc, dif_neg h.symm] #align simplicial_object.splitting.ι_π_summand_eq_zero SimplicialObject.Splitting.cofan_inj_πSummand_eq_zero variable [Preadditive C] theorem decomposition_id (Δ : SimplexCategoryᵒᵖ) : 𝟙 (X.obj Δ) = ∑ A : IndexSet Δ, s.πSummand A ≫ (s.cofan Δ).inj A := by apply s.hom_ext' intro A dsimp erw [comp_id, comp_sum, Finset.sum_eq_single A, cofan_inj_πSummand_eq_id_assoc] · intro B _ h₂ rw [s.cofan_inj_πSummand_eq_zero_assoc _ _ h₂, zero_comp] · simp #align simplicial_object.splitting.decomposition_id SimplicialObject.Splitting.decomposition_id @[reassoc (attr := simp)] theorem σ_comp_πSummand_id_eq_zero {n : ℕ} (i : Fin (n + 1)) : X.σ i ≫ s.πSummand (IndexSet.id (op [n + 1])) = 0 := by apply s.hom_ext' intro A dsimp only [SimplicialObject.σ] rw [comp_zero, s.cofan_inj_epi_naturality_assoc A (SimplexCategory.σ i).op, cofan_inj_πSummand_eq_zero] rw [ne_comm] change ¬(A.epiComp (SimplexCategory.σ i).op).EqId rw [IndexSet.eqId_iff_len_eq] have h := SimplexCategory.len_le_of_epi (inferInstance : Epi A.e) dsimp at h ⊢ omega #align simplicial_object.splitting.σ_comp_π_summand_id_eq_zero SimplicialObject.Splitting.σ_comp_πSummand_id_eq_zero theorem cofan_inj_comp_PInfty_eq_zero {X : SimplicialObject C} (s : SimplicialObject.Splitting X) {n : ℕ} (A : SimplicialObject.Splitting.IndexSet (op [n])) (hA : ¬A.EqId) : (s.cofan _).inj A ≫ PInfty.f n = 0 := by rw [SimplicialObject.Splitting.IndexSet.eqId_iff_mono] at hA rw [SimplicialObject.Splitting.cofan_inj_eq, assoc, degeneracy_comp_PInfty X n A.e hA, comp_zero] set_option linter.uppercaseLean3 false in #align simplicial_object.splitting.ι_summand_comp_P_infty_eq_zero SimplicialObject.Splitting.cofan_inj_comp_PInfty_eq_zero theorem comp_PInfty_eq_zero_iff {Z : C} {n : ℕ} (f : Z ⟶ X _[n]) : f ≫ PInfty.f n = 0 ↔ f ≫ s.πSummand (IndexSet.id (op [n])) = 0 := by constructor · intro h rcases n with _|n · dsimp at h rw [comp_id] at h rw [h, zero_comp] · have h' := f ≫= PInfty_f_add_QInfty_f (n + 1) dsimp at h' rw [comp_id, comp_add, h, zero_add] at h' rw [← h', assoc, QInfty_f, decomposition_Q, Preadditive.sum_comp, Preadditive.comp_sum, Finset.sum_eq_zero] intro i _ simp only [assoc, σ_comp_πSummand_id_eq_zero, comp_zero] · intro h rw [← comp_id f, assoc, s.decomposition_id, Preadditive.sum_comp, Preadditive.comp_sum, Fintype.sum_eq_zero] intro A by_cases hA : A.EqId · dsimp at hA subst hA rw [assoc, reassoc_of% h, zero_comp] · simp only [assoc, s.cofan_inj_comp_PInfty_eq_zero A hA, comp_zero] set_option linter.uppercaseLean3 false in #align simplicial_object.splitting.comp_P_infty_eq_zero_iff SimplicialObject.Splitting.comp_PInfty_eq_zero_iff @[reassoc (attr := simp)] theorem PInfty_comp_πSummand_id (n : ℕ) : PInfty.f n ≫ s.πSummand (IndexSet.id (op [n])) = s.πSummand (IndexSet.id (op [n])) := by conv_rhs => rw [← id_comp (s.πSummand _)] symm rw [← sub_eq_zero, ← sub_comp, ← comp_PInfty_eq_zero_iff, sub_comp, id_comp, PInfty_f_idem, sub_self] set_option linter.uppercaseLean3 false in #align simplicial_object.splitting.P_infty_comp_π_summand_id SimplicialObject.Splitting.PInfty_comp_πSummand_id @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/SplitSimplicialObject.lean
137
144
theorem πSummand_comp_cofan_inj_id_comp_PInfty_eq_PInfty (n : ℕ) : s.πSummand (IndexSet.id (op [n])) ≫ (s.cofan _).inj (IndexSet.id (op [n])) ≫ PInfty.f n = PInfty.f n := by
conv_rhs => rw [← id_comp (PInfty.f n)] erw [s.decomposition_id, Preadditive.sum_comp] rw [Fintype.sum_eq_single (IndexSet.id (op [n])), assoc] rintro A (hA : ¬A.EqId) rw [assoc, s.cofan_inj_comp_PInfty_eq_zero A hA, comp_zero]
import Mathlib.Algebra.BigOperators.Group.Finset import Mathlib.Data.Fintype.Card #align_import data.multiset.fintype from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d" variable {α : Type*} [DecidableEq α] {m : Multiset α} def Multiset.ToType (m : Multiset α) : Type _ := (x : α) × Fin (m.count x) #align multiset.to_type Multiset.ToType instance : CoeSort (Multiset α) (Type _) := ⟨Multiset.ToType⟩ example : DecidableEq m := inferInstanceAs <| DecidableEq ((x : α) × Fin (m.count x)) -- Porting note: syntactic equality #noalign multiset.coe_sort_eq @[reducible, match_pattern] def Multiset.mkToType (m : Multiset α) (x : α) (i : Fin (m.count x)) : m := ⟨x, i⟩ #align multiset.mk_to_type Multiset.mkToType instance instCoeSortMultisetType.instCoeOutToType : CoeOut m α := ⟨fun x ↦ x.1⟩ #align multiset.has_coe_to_sort.has_coe instCoeSortMultisetType.instCoeOutToTypeₓ -- Porting note: syntactic equality #noalign multiset.fst_coe_eq_coe -- Syntactic equality #noalign multiset.coe_eq -- @[simp] -- Porting note (#10685): dsimp can prove this theorem Multiset.coe_mk {x : α} {i : Fin (m.count x)} : ↑(m.mkToType x i) = x := rfl #align multiset.coe_mk Multiset.coe_mk @[simp] lemma Multiset.coe_mem {x : m} : ↑x ∈ m := Multiset.count_pos.mp (by have := x.2.2; omega) #align multiset.coe_mem Multiset.coe_mem @[simp] protected theorem Multiset.forall_coe (p : m → Prop) : (∀ x : m, p x) ↔ ∀ (x : α) (i : Fin (m.count x)), p ⟨x, i⟩ := Sigma.forall #align multiset.forall_coe Multiset.forall_coe @[simp] protected theorem Multiset.exists_coe (p : m → Prop) : (∃ x : m, p x) ↔ ∃ (x : α) (i : Fin (m.count x)), p ⟨x, i⟩ := Sigma.exists #align multiset.exists_coe Multiset.exists_coe instance : Fintype { p : α × ℕ | p.2 < m.count p.1 } := Fintype.ofFinset (m.toFinset.biUnion fun x ↦ (Finset.range (m.count x)).map ⟨Prod.mk x, Prod.mk.inj_left x⟩) (by rintro ⟨x, i⟩ simp only [Finset.mem_biUnion, Multiset.mem_toFinset, Finset.mem_map, Finset.mem_range, Function.Embedding.coeFn_mk, Prod.mk.inj_iff, Set.mem_setOf_eq] simp only [← and_assoc, exists_eq_right, and_iff_right_iff_imp] exact fun h ↦ Multiset.count_pos.mp (by omega)) def Multiset.toEnumFinset (m : Multiset α) : Finset (α × ℕ) := { p : α × ℕ | p.2 < m.count p.1 }.toFinset #align multiset.to_enum_finset Multiset.toEnumFinset @[simp] theorem Multiset.mem_toEnumFinset (m : Multiset α) (p : α × ℕ) : p ∈ m.toEnumFinset ↔ p.2 < m.count p.1 := Set.mem_toFinset #align multiset.mem_to_enum_finset Multiset.mem_toEnumFinset theorem Multiset.mem_of_mem_toEnumFinset {p : α × ℕ} (h : p ∈ m.toEnumFinset) : p.1 ∈ m := have := (m.mem_toEnumFinset p).mp h; Multiset.count_pos.mp (by omega) #align multiset.mem_of_mem_to_enum_finset Multiset.mem_of_mem_toEnumFinset @[mono] theorem Multiset.toEnumFinset_mono {m₁ m₂ : Multiset α} (h : m₁ ≤ m₂) : m₁.toEnumFinset ⊆ m₂.toEnumFinset := by intro p simp only [Multiset.mem_toEnumFinset] exact gt_of_ge_of_gt (Multiset.le_iff_count.mp h p.1) #align multiset.to_enum_finset_mono Multiset.toEnumFinset_mono @[simp] theorem Multiset.toEnumFinset_subset_iff {m₁ m₂ : Multiset α} : m₁.toEnumFinset ⊆ m₂.toEnumFinset ↔ m₁ ≤ m₂ := by refine ⟨fun h ↦ ?_, Multiset.toEnumFinset_mono⟩ rw [Multiset.le_iff_count] intro x by_cases hx : x ∈ m₁ · apply Nat.le_of_pred_lt have : (x, m₁.count x - 1) ∈ m₁.toEnumFinset := by rw [Multiset.mem_toEnumFinset] exact Nat.pred_lt (ne_of_gt (Multiset.count_pos.mpr hx)) simpa only [Multiset.mem_toEnumFinset] using h this · simp [hx] #align multiset.to_enum_finset_subset_iff Multiset.toEnumFinset_subset_iff @[simps] def Multiset.coeEmbedding (m : Multiset α) : m ↪ α × ℕ where toFun x := (x, x.2) inj' := by intro ⟨x, i, hi⟩ ⟨y, j, hj⟩ rintro ⟨⟩ rfl #align multiset.coe_embedding Multiset.coeEmbedding @[simps] def Multiset.coeEquiv (m : Multiset α) : m ≃ m.toEnumFinset where toFun x := ⟨m.coeEmbedding x, by rw [Multiset.mem_toEnumFinset] exact x.2.2⟩ invFun x := ⟨x.1.1, x.1.2, by rw [← Multiset.mem_toEnumFinset] exact x.2⟩ left_inv := by rintro ⟨x, i, h⟩ rfl right_inv := by rintro ⟨⟨x, i⟩, h⟩ rfl #align multiset.coe_equiv Multiset.coeEquiv @[simp]
Mathlib/Data/Multiset/Fintype.lean
176
177
theorem Multiset.toEmbedding_coeEquiv_trans (m : Multiset α) : m.coeEquiv.toEmbedding.trans (Function.Embedding.subtype _) = m.coeEmbedding := by
ext <;> rfl
import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.SpecialFunctions.Complex.Circle import Mathlib.Analysis.InnerProductSpace.l2Space import Mathlib.MeasureTheory.Function.ContinuousMapDense import Mathlib.MeasureTheory.Function.L2Space import Mathlib.MeasureTheory.Group.Integral import Mathlib.MeasureTheory.Integral.Periodic import Mathlib.Topology.ContinuousFunction.StoneWeierstrass import Mathlib.MeasureTheory.Integral.FundThmCalculus #align_import analysis.fourier.add_circle from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" noncomputable section open scoped ENNReal ComplexConjugate Real open TopologicalSpace ContinuousMap MeasureTheory MeasureTheory.Measure Algebra Submodule Set variable {T : ℝ} open AddCircle section Monomials def fourier (n : ℤ) : C(AddCircle T, ℂ) where toFun x := toCircle (n • x :) continuous_toFun := continuous_induced_dom.comp <| continuous_toCircle.comp <| continuous_zsmul _ #align fourier fourier @[simp] theorem fourier_apply {n : ℤ} {x : AddCircle T} : fourier n x = toCircle (n • x :) := rfl #align fourier_apply fourier_apply -- @[simp] -- Porting note: simp normal form is `fourier_coe_apply'` theorem fourier_coe_apply {n : ℤ} {x : ℝ} : fourier n (x : AddCircle T) = Complex.exp (2 * π * Complex.I * n * x / T) := by rw [fourier_apply, ← QuotientAddGroup.mk_zsmul, toCircle, Function.Periodic.lift_coe, expMapCircle_apply, Complex.ofReal_mul, Complex.ofReal_div, Complex.ofReal_mul, zsmul_eq_mul, Complex.ofReal_mul, Complex.ofReal_intCast] norm_num congr 1; ring #align fourier_coe_apply fourier_coe_apply @[simp] theorem fourier_coe_apply' {n : ℤ} {x : ℝ} : toCircle (n • (x : AddCircle T) :) = Complex.exp (2 * π * Complex.I * n * x / T) := by rw [← fourier_apply]; exact fourier_coe_apply -- @[simp] -- Porting note: simp normal form is `fourier_zero'` theorem fourier_zero {x : AddCircle T} : fourier 0 x = 1 := by induction x using QuotientAddGroup.induction_on' simp only [fourier_coe_apply] norm_num #align fourier_zero fourier_zero @[simp] theorem fourier_zero' {x : AddCircle T} : @toCircle T 0 = (1 : ℂ) := by have : fourier 0 x = @toCircle T 0 := by rw [fourier_apply, zero_smul] rw [← this]; exact fourier_zero -- @[simp] -- Porting note: simp normal form is *also* `fourier_zero'` theorem fourier_eval_zero (n : ℤ) : fourier n (0 : AddCircle T) = 1 := by rw [← QuotientAddGroup.mk_zero, fourier_coe_apply, Complex.ofReal_zero, mul_zero, zero_div, Complex.exp_zero] #align fourier_eval_zero fourier_eval_zero -- @[simp] -- Porting note (#10618): simp can prove this theorem fourier_one {x : AddCircle T} : fourier 1 x = toCircle x := by rw [fourier_apply, one_zsmul] #align fourier_one fourier_one -- @[simp] -- Porting note: simp normal form is `fourier_neg'`
Mathlib/Analysis/Fourier/AddCircle.lean
154
159
theorem fourier_neg {n : ℤ} {x : AddCircle T} : fourier (-n) x = conj (fourier n x) := by
induction x using QuotientAddGroup.induction_on' simp_rw [fourier_apply, toCircle] rw [← QuotientAddGroup.mk_zsmul, ← QuotientAddGroup.mk_zsmul] simp_rw [Function.Periodic.lift_coe, ← coe_inv_circle_eq_conj, ← expMapCircle_neg, neg_smul, mul_neg]
import Mathlib.Data.Set.Lattice import Mathlib.Order.Hom.Lattice #align_import order.hom.complete_lattice from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" open Function OrderDual Set variable {F α β γ δ : Type*} {ι : Sort*} {κ : ι → Sort*} -- Porting note: mathport made this & sInfHom into "SupHomCat" and "InfHomCat". structure sSupHom (α β : Type*) [SupSet α] [SupSet β] where toFun : α → β map_sSup' (s : Set α) : toFun (sSup s) = sSup (toFun '' s) #align Sup_hom sSupHom structure sInfHom (α β : Type*) [InfSet α] [InfSet β] where toFun : α → β map_sInf' (s : Set α) : toFun (sInf s) = sInf (toFun '' s) #align Inf_hom sInfHom structure FrameHom (α β : Type*) [CompleteLattice α] [CompleteLattice β] extends InfTopHom α β where map_sSup' (s : Set α) : toFun (sSup s) = sSup (toFun '' s) #align frame_hom FrameHom structure CompleteLatticeHom (α β : Type*) [CompleteLattice α] [CompleteLattice β] extends sInfHom α β where map_sSup' (s : Set α) : toFun (sSup s) = sSup (toFun '' s) #align complete_lattice_hom CompleteLatticeHom section -- Porting note: mathport made this & InfHomClass into "SupHomClassCat" and "InfHomClassCat". class sSupHomClass (F α β : Type*) [SupSet α] [SupSet β] [FunLike F α β] : Prop where map_sSup (f : F) (s : Set α) : f (sSup s) = sSup (f '' s) #align Sup_hom_class sSupHomClass class sInfHomClass (F α β : Type*) [InfSet α] [InfSet β] [FunLike F α β] : Prop where map_sInf (f : F) (s : Set α) : f (sInf s) = sInf (f '' s) #align Inf_hom_class sInfHomClass class FrameHomClass (F α β : Type*) [CompleteLattice α] [CompleteLattice β] [FunLike F α β] extends InfTopHomClass F α β : Prop where map_sSup (f : F) (s : Set α) : f (sSup s) = sSup (f '' s) #align frame_hom_class FrameHomClass class CompleteLatticeHomClass (F α β : Type*) [CompleteLattice α] [CompleteLattice β] [FunLike F α β] extends sInfHomClass F α β : Prop where map_sSup (f : F) (s : Set α) : f (sSup s) = sSup (f '' s) #align complete_lattice_hom_class CompleteLatticeHomClass end export sSupHomClass (map_sSup) export sInfHomClass (map_sInf) attribute [simp] map_sSup map_sInf section Hom variable [FunLike F α β] @[simp] theorem map_iSup [SupSet α] [SupSet β] [sSupHomClass F α β] (f : F) (g : ι → α) : f (⨆ i, g i) = ⨆ i, f (g i) := by simp [iSup, ← Set.range_comp, Function.comp] #align map_supr map_iSup theorem map_iSup₂ [SupSet α] [SupSet β] [sSupHomClass F α β] (f : F) (g : ∀ i, κ i → α) : f (⨆ (i) (j), g i j) = ⨆ (i) (j), f (g i j) := by simp_rw [map_iSup] #align map_supr₂ map_iSup₂ @[simp] theorem map_iInf [InfSet α] [InfSet β] [sInfHomClass F α β] (f : F) (g : ι → α) : f (⨅ i, g i) = ⨅ i, f (g i) := by simp [iInf, ← Set.range_comp, Function.comp] #align map_infi map_iInf
Mathlib/Order/Hom/CompleteLattice.lean
142
143
theorem map_iInf₂ [InfSet α] [InfSet β] [sInfHomClass F α β] (f : F) (g : ∀ i, κ i → α) : f (⨅ (i) (j), g i j) = ⨅ (i) (j), f (g i j) := by
simp_rw [map_iInf]
import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Calculus.FDeriv.Linear import Mathlib.Analysis.Calculus.FDeriv.Comp #align_import analysis.calculus.fderiv.equiv from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee" open Filter Asymptotics ContinuousLinearMap Set Metric open scoped Classical open Topology NNReal Filter Asymptotics ENNReal noncomputable section section variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G'] variable {f f₀ f₁ g : E → F} variable {f' f₀' f₁' g' : E →L[𝕜] F} variable (e : E →L[𝕜] F) variable {x : E} variable {s t : Set E} variable {L L₁ L₂ : Filter E} theorem HasStrictFDerivAt.of_local_left_inverse {f : E → F} {f' : E ≃L[𝕜] F} {g : F → E} {a : F} (hg : ContinuousAt g a) (hf : HasStrictFDerivAt f (f' : E →L[𝕜] F) (g a)) (hfg : ∀ᶠ y in 𝓝 a, f (g y) = y) : HasStrictFDerivAt g (f'.symm : F →L[𝕜] E) a := by replace hg := hg.prod_map' hg replace hfg := hfg.prod_mk_nhds hfg have : (fun p : F × F => g p.1 - g p.2 - f'.symm (p.1 - p.2)) =O[𝓝 (a, a)] fun p : F × F => f' (g p.1 - g p.2) - (p.1 - p.2) := by refine ((f'.symm : F →L[𝕜] E).isBigO_comp _ _).congr (fun x => ?_) fun _ => rfl simp refine this.trans_isLittleO ?_ clear this refine ((hf.comp_tendsto hg).symm.congr' (hfg.mono ?_) (eventually_of_forall fun _ => rfl)).trans_isBigO ?_ · rintro p ⟨hp1, hp2⟩ simp [hp1, hp2] · refine (hf.isBigO_sub_rev.comp_tendsto hg).congr' (eventually_of_forall fun _ => rfl) (hfg.mono ?_) rintro p ⟨hp1, hp2⟩ simp only [(· ∘ ·), hp1, hp2] #align has_strict_fderiv_at.of_local_left_inverse HasStrictFDerivAt.of_local_left_inverse theorem HasFDerivAt.of_local_left_inverse {f : E → F} {f' : E ≃L[𝕜] F} {g : F → E} {a : F} (hg : ContinuousAt g a) (hf : HasFDerivAt f (f' : E →L[𝕜] F) (g a)) (hfg : ∀ᶠ y in 𝓝 a, f (g y) = y) : HasFDerivAt g (f'.symm : F →L[𝕜] E) a := by have : (fun x : F => g x - g a - f'.symm (x - a)) =O[𝓝 a] fun x : F => f' (g x - g a) - (x - a) := by refine ((f'.symm : F →L[𝕜] E).isBigO_comp _ _).congr (fun x => ?_) fun _ => rfl simp refine HasFDerivAtFilter.of_isLittleO <| this.trans_isLittleO ?_ clear this refine ((hf.isLittleO.comp_tendsto hg).symm.congr' (hfg.mono ?_) .rfl).trans_isBigO ?_ · intro p hp simp [hp, hfg.self_of_nhds] · refine ((hf.isBigO_sub_rev f'.antilipschitz).comp_tendsto hg).congr' (eventually_of_forall fun _ => rfl) (hfg.mono ?_) rintro p hp simp only [(· ∘ ·), hp, hfg.self_of_nhds] #align has_fderiv_at.of_local_left_inverse HasFDerivAt.of_local_left_inverse theorem PartialHomeomorph.hasStrictFDerivAt_symm (f : PartialHomeomorph E F) {f' : E ≃L[𝕜] F} {a : F} (ha : a ∈ f.target) (htff' : HasStrictFDerivAt f (f' : E →L[𝕜] F) (f.symm a)) : HasStrictFDerivAt f.symm (f'.symm : F →L[𝕜] E) a := htff'.of_local_left_inverse (f.symm.continuousAt ha) (f.eventually_right_inverse ha) #align local_homeomorph.has_strict_fderiv_at_symm PartialHomeomorph.hasStrictFDerivAt_symm theorem PartialHomeomorph.hasFDerivAt_symm (f : PartialHomeomorph E F) {f' : E ≃L[𝕜] F} {a : F} (ha : a ∈ f.target) (htff' : HasFDerivAt f (f' : E →L[𝕜] F) (f.symm a)) : HasFDerivAt f.symm (f'.symm : F →L[𝕜] E) a := htff'.of_local_left_inverse (f.symm.continuousAt ha) (f.eventually_right_inverse ha) #align local_homeomorph.has_fderiv_at_symm PartialHomeomorph.hasFDerivAt_symm theorem HasFDerivWithinAt.eventually_ne (h : HasFDerivWithinAt f f' s x) (hf' : ∃ C, ∀ z, ‖z‖ ≤ C * ‖f' z‖) : ∀ᶠ z in 𝓝[s \ {x}] x, f z ≠ f x := by rw [nhdsWithin, diff_eq, ← inf_principal, ← inf_assoc, eventually_inf_principal] have A : (fun z => z - x) =O[𝓝[s] x] fun z => f' (z - x) := isBigO_iff.2 <| hf'.imp fun C hC => eventually_of_forall fun z => hC _ have : (fun z => f z - f x) ~[𝓝[s] x] fun z => f' (z - x) := h.isLittleO.trans_isBigO A simpa [not_imp_not, sub_eq_zero] using (A.trans this.isBigO_symm).eq_zero_imp #align has_fderiv_within_at.eventually_ne HasFDerivWithinAt.eventually_ne theorem HasFDerivAt.eventually_ne (h : HasFDerivAt f f' x) (hf' : ∃ C, ∀ z, ‖z‖ ≤ C * ‖f' z‖) : ∀ᶠ z in 𝓝[≠] x, f z ≠ f x := by simpa only [compl_eq_univ_diff] using (hasFDerivWithinAt_univ.2 h).eventually_ne hf' #align has_fderiv_at.eventually_ne HasFDerivAt.eventually_ne end section variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] variable {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] variable {f : E → F} {f' : E →L[ℝ] F} {x : E} theorem has_fderiv_at_filter_real_equiv {L : Filter E} : Tendsto (fun x' : E => ‖x' - x‖⁻¹ * ‖f x' - f x - f' (x' - x)‖) L (𝓝 0) ↔ Tendsto (fun x' : E => ‖x' - x‖⁻¹ • (f x' - f x - f' (x' - x))) L (𝓝 0) := by symm rw [tendsto_iff_norm_sub_tendsto_zero] refine tendsto_congr fun x' => ?_ simp [norm_smul] #align has_fderiv_at_filter_real_equiv has_fderiv_at_filter_real_equiv theorem HasFDerivAt.lim_real (hf : HasFDerivAt f f' x) (v : E) : Tendsto (fun c : ℝ => c • (f (x + c⁻¹ • v) - f x)) atTop (𝓝 (f' v)) := by apply hf.lim v rw [tendsto_atTop_atTop] exact fun b => ⟨b, fun a ha => le_trans ha (le_abs_self _)⟩ #align has_fderiv_at.lim_real HasFDerivAt.lim_real end section TangentCone variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {f : E → F} {s : Set E} {f' : E →L[𝕜] F}
Mathlib/Analysis/Calculus/FDeriv/Equiv.lean
512
517
theorem HasFDerivWithinAt.mapsTo_tangent_cone {x : E} (h : HasFDerivWithinAt f f' s x) : MapsTo f' (tangentConeAt 𝕜 s x) (tangentConeAt 𝕜 (f '' s) (f x)) := by
rintro v ⟨c, d, dtop, clim, cdlim⟩ refine ⟨c, fun n => f (x + d n) - f x, mem_of_superset dtop ?_, clim, h.lim atTop dtop clim cdlim⟩ simp (config := { contextual := true }) [-mem_image, mem_image_of_mem]
import Mathlib.CategoryTheory.Monoidal.Free.Coherence import Mathlib.CategoryTheory.Monoidal.Discrete import Mathlib.CategoryTheory.Monoidal.NaturalTransformation import Mathlib.CategoryTheory.Monoidal.Opposite import Mathlib.Tactic.CategoryTheory.Coherence import Mathlib.CategoryTheory.CommSq #align_import category_theory.monoidal.braided from "leanprover-community/mathlib"@"2efd2423f8d25fa57cf7a179f5d8652ab4d0df44" open CategoryTheory MonoidalCategory universe v v₁ v₂ v₃ u u₁ u₂ u₃ namespace CategoryTheory class BraidedCategory (C : Type u) [Category.{v} C] [MonoidalCategory.{v} C] where braiding : ∀ X Y : C, X ⊗ Y ≅ Y ⊗ X braiding_naturality_right : ∀ (X : C) {Y Z : C} (f : Y ⟶ Z), X ◁ f ≫ (braiding X Z).hom = (braiding X Y).hom ≫ f ▷ X := by aesop_cat braiding_naturality_left : ∀ {X Y : C} (f : X ⟶ Y) (Z : C), f ▷ Z ≫ (braiding Y Z).hom = (braiding X Z).hom ≫ Z ◁ f := by aesop_cat hexagon_forward : ∀ X Y Z : C, (α_ X Y Z).hom ≫ (braiding X (Y ⊗ Z)).hom ≫ (α_ Y Z X).hom = ((braiding X Y).hom ▷ Z) ≫ (α_ Y X Z).hom ≫ (Y ◁ (braiding X Z).hom) := by aesop_cat hexagon_reverse : ∀ X Y Z : C, (α_ X Y Z).inv ≫ (braiding (X ⊗ Y) Z).hom ≫ (α_ Z X Y).inv = (X ◁ (braiding Y Z).hom) ≫ (α_ X Z Y).inv ≫ ((braiding X Z).hom ▷ Y) := by aesop_cat #align category_theory.braided_category CategoryTheory.BraidedCategory attribute [reassoc (attr := simp)] BraidedCategory.braiding_naturality_left BraidedCategory.braiding_naturality_right attribute [reassoc] BraidedCategory.hexagon_forward BraidedCategory.hexagon_reverse open Category open MonoidalCategory open BraidedCategory @[inherit_doc] notation "β_" => BraidedCategory.braiding def braidedCategoryOfFaithful {C D : Type*} [Category C] [Category D] [MonoidalCategory C] [MonoidalCategory D] (F : MonoidalFunctor C D) [F.Faithful] [BraidedCategory D] (β : ∀ X Y : C, X ⊗ Y ≅ Y ⊗ X) (w : ∀ X Y, F.μ _ _ ≫ F.map (β X Y).hom = (β_ _ _).hom ≫ F.μ _ _) : BraidedCategory C where braiding := β braiding_naturality_left := by intros apply F.map_injective refine (cancel_epi (F.μ ?_ ?_)).1 ?_ rw [Functor.map_comp, ← LaxMonoidalFunctor.μ_natural_left_assoc, w, Functor.map_comp, reassoc_of% w, braiding_naturality_left_assoc, LaxMonoidalFunctor.μ_natural_right] braiding_naturality_right := by intros apply F.map_injective refine (cancel_epi (F.μ ?_ ?_)).1 ?_ rw [Functor.map_comp, ← LaxMonoidalFunctor.μ_natural_right_assoc, w, Functor.map_comp, reassoc_of% w, braiding_naturality_right_assoc, LaxMonoidalFunctor.μ_natural_left] hexagon_forward := by intros apply F.map_injective refine (cancel_epi (F.μ _ _)).1 ?_ refine (cancel_epi (F.μ _ _ ▷ _)).1 ?_ rw [Functor.map_comp, Functor.map_comp, Functor.map_comp, Functor.map_comp, ← LaxMonoidalFunctor.μ_natural_left_assoc, ← comp_whiskerRight_assoc, w, comp_whiskerRight_assoc, LaxMonoidalFunctor.associativity_assoc, LaxMonoidalFunctor.associativity_assoc, ← LaxMonoidalFunctor.μ_natural_right, ← MonoidalCategory.whiskerLeft_comp_assoc, w, MonoidalCategory.whiskerLeft_comp_assoc, reassoc_of% w, braiding_naturality_right_assoc, LaxMonoidalFunctor.associativity, hexagon_forward_assoc] hexagon_reverse := by intros apply F.toFunctor.map_injective refine (cancel_epi (F.μ _ _)).1 ?_ refine (cancel_epi (_ ◁ F.μ _ _)).1 ?_ rw [Functor.map_comp, Functor.map_comp, Functor.map_comp, Functor.map_comp, ← LaxMonoidalFunctor.μ_natural_right_assoc, ← MonoidalCategory.whiskerLeft_comp_assoc, w, MonoidalCategory.whiskerLeft_comp_assoc, LaxMonoidalFunctor.associativity_inv_assoc, LaxMonoidalFunctor.associativity_inv_assoc, ← LaxMonoidalFunctor.μ_natural_left, ← comp_whiskerRight_assoc, w, comp_whiskerRight_assoc, reassoc_of% w, braiding_naturality_left_assoc, LaxMonoidalFunctor.associativity_inv, hexagon_reverse_assoc] #align category_theory.braided_category_of_faithful CategoryTheory.braidedCategoryOfFaithful noncomputable def braidedCategoryOfFullyFaithful {C D : Type*} [Category C] [Category D] [MonoidalCategory C] [MonoidalCategory D] (F : MonoidalFunctor C D) [F.Full] [F.Faithful] [BraidedCategory D] : BraidedCategory C := braidedCategoryOfFaithful F (fun X Y => F.toFunctor.preimageIso ((asIso (F.μ _ _)).symm ≪≫ β_ (F.obj X) (F.obj Y) ≪≫ asIso (F.μ _ _))) (by aesop_cat) #align category_theory.braided_category_of_fully_faithful CategoryTheory.braidedCategoryOfFullyFaithful section variable (C : Type u₁) [Category.{v₁} C] [MonoidalCategory C] [BraidedCategory C]
Mathlib/CategoryTheory/Monoidal/Braided/Basic.lean
267
271
theorem braiding_leftUnitor_aux₁ (X : C) : (α_ (𝟙_ C) (𝟙_ C) X).hom ≫ (𝟙_ C ◁ (β_ X (𝟙_ C)).inv) ≫ (α_ _ X _).inv ≫ ((λ_ X).hom ▷ _) = ((λ_ _).hom ▷ X) ≫ (β_ X (𝟙_ C)).inv := by
coherence
import Mathlib.Algebra.GCDMonoid.Basic import Mathlib.Algebra.Order.Ring.Int import Mathlib.Data.Int.GCD instance : GCDMonoid ℕ where gcd := Nat.gcd lcm := Nat.lcm gcd_dvd_left := Nat.gcd_dvd_left gcd_dvd_right := Nat.gcd_dvd_right dvd_gcd := Nat.dvd_gcd gcd_mul_lcm a b := by rw [Nat.gcd_mul_lcm]; rfl lcm_zero_left := Nat.lcm_zero_left lcm_zero_right := Nat.lcm_zero_right theorem gcd_eq_nat_gcd (m n : ℕ) : gcd m n = Nat.gcd m n := rfl #align gcd_eq_nat_gcd gcd_eq_nat_gcd theorem lcm_eq_nat_lcm (m n : ℕ) : lcm m n = Nat.lcm m n := rfl #align lcm_eq_nat_lcm lcm_eq_nat_lcm instance : NormalizedGCDMonoid ℕ := { (inferInstance : GCDMonoid ℕ), (inferInstance : NormalizationMonoid ℕ) with normalize_gcd := fun _ _ => normalize_eq _ normalize_lcm := fun _ _ => normalize_eq _ } namespace Int
Mathlib/Algebra/GCDMonoid/Nat.lean
139
145
theorem exists_unit_of_abs (a : ℤ) : ∃ (u : ℤ) (_ : IsUnit u), (Int.natAbs a : ℤ) = u * a := by
cases' natAbs_eq a with h h · use 1, isUnit_one rw [← h, one_mul] · use -1, isUnit_one.neg rw [← neg_eq_iff_eq_neg.mpr h] simp only [neg_mul, one_mul]
import Mathlib.NumberTheory.NumberField.ClassNumber import Mathlib.NumberTheory.Cyclotomic.Rat import Mathlib.NumberTheory.Cyclotomic.Embeddings universe u namespace IsCyclotomicExtension.Rat open NumberField Polynomial InfinitePlace Nat Real cyclotomic variable (K : Type u) [Field K] [NumberField K]
Mathlib/NumberTheory/Cyclotomic/PID.lean
30
41
theorem three_pid [IsCyclotomicExtension {3} ℚ K] : IsPrincipalIdealRing (𝓞 K) := by
apply RingOfIntegers.isPrincipalIdealRing_of_abs_discr_lt rw [absdiscr_prime 3 K, IsCyclotomicExtension.finrank (n := 3) K (irreducible_rat (by norm_num)), nrComplexPlaces_eq_totient_div_two 3, totient_prime PNat.prime_three] simp only [Int.reduceNeg, PNat.val_ofNat, succ_sub_succ_eq_sub, tsub_zero, zero_lt_two, Nat.div_self, pow_one, cast_ofNat, neg_mul, one_mul, abs_neg, Int.cast_abs, Int.cast_ofNat, factorial_two, gt_iff_lt, abs_of_pos (show (0 : ℝ) < 3 by norm_num)] suffices (2 * (3 / 4) * (2 ^ 2 / 2)) ^ 2 < (2 * (π / 4) * (2 ^ 2 / 2)) ^ 2 from lt_trans (by norm_num) this gcongr exact pi_gt_three
import Mathlib.Analysis.SpecialFunctions.ExpDeriv #align_import analysis.ODE.gronwall from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F] [NormedSpace ℝ F] open Metric Set Asymptotics Filter Real open scoped Classical Topology NNReal noncomputable def gronwallBound (δ K ε x : ℝ) : ℝ := if K = 0 then δ + ε * x else δ * exp (K * x) + ε / K * (exp (K * x) - 1) #align gronwall_bound gronwallBound theorem gronwallBound_K0 (δ ε : ℝ) : gronwallBound δ 0 ε = fun x => δ + ε * x := funext fun _ => if_pos rfl set_option linter.uppercaseLean3 false in #align gronwall_bound_K0 gronwallBound_K0 theorem gronwallBound_of_K_ne_0 {δ K ε : ℝ} (hK : K ≠ 0) : gronwallBound δ K ε = fun x => δ * exp (K * x) + ε / K * (exp (K * x) - 1) := funext fun _ => if_neg hK set_option linter.uppercaseLean3 false in #align gronwall_bound_of_K_ne_0 gronwallBound_of_K_ne_0 theorem hasDerivAt_gronwallBound (δ K ε x : ℝ) : HasDerivAt (gronwallBound δ K ε) (K * gronwallBound δ K ε x + ε) x := by by_cases hK : K = 0 · subst K simp only [gronwallBound_K0, zero_mul, zero_add] convert ((hasDerivAt_id x).const_mul ε).const_add δ rw [mul_one] · simp only [gronwallBound_of_K_ne_0 hK] convert (((hasDerivAt_id x).const_mul K).exp.const_mul δ).add ((((hasDerivAt_id x).const_mul K).exp.sub_const 1).const_mul (ε / K)) using 1 simp only [id, mul_add, (mul_assoc _ _ _).symm, mul_comm _ K, mul_div_cancel₀ _ hK] ring #align has_deriv_at_gronwall_bound hasDerivAt_gronwallBound theorem hasDerivAt_gronwallBound_shift (δ K ε x a : ℝ) : HasDerivAt (fun y => gronwallBound δ K ε (y - a)) (K * gronwallBound δ K ε (x - a) + ε) x := by convert (hasDerivAt_gronwallBound δ K ε _).comp x ((hasDerivAt_id x).sub_const a) using 1 rw [id, mul_one] #align has_deriv_at_gronwall_bound_shift hasDerivAt_gronwallBound_shift theorem gronwallBound_x0 (δ K ε : ℝ) : gronwallBound δ K ε 0 = δ := by by_cases hK : K = 0 · simp only [gronwallBound, if_pos hK, mul_zero, add_zero] · simp only [gronwallBound, if_neg hK, mul_zero, exp_zero, sub_self, mul_one, add_zero] #align gronwall_bound_x0 gronwallBound_x0 theorem gronwallBound_ε0 (δ K x : ℝ) : gronwallBound δ K 0 x = δ * exp (K * x) := by by_cases hK : K = 0 · simp only [gronwallBound_K0, hK, zero_mul, exp_zero, add_zero, mul_one] · simp only [gronwallBound_of_K_ne_0 hK, zero_div, zero_mul, add_zero] #align gronwall_bound_ε0 gronwallBound_ε0 theorem gronwallBound_ε0_δ0 (K x : ℝ) : gronwallBound 0 K 0 x = 0 := by simp only [gronwallBound_ε0, zero_mul] #align gronwall_bound_ε0_δ0 gronwallBound_ε0_δ0 theorem gronwallBound_continuous_ε (δ K x : ℝ) : Continuous fun ε => gronwallBound δ K ε x := by by_cases hK : K = 0 · simp only [gronwallBound_K0, hK] exact continuous_const.add (continuous_id.mul continuous_const) · simp only [gronwallBound_of_K_ne_0 hK] exact continuous_const.add ((continuous_id.mul continuous_const).mul continuous_const) #align gronwall_bound_continuous_ε gronwallBound_continuous_ε theorem le_gronwallBound_of_liminf_deriv_right_le {f f' : ℝ → ℝ} {δ K ε : ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, ∀ r, f' x < r → ∃ᶠ z in 𝓝[>] x, (z - x)⁻¹ * (f z - f x) < r) (ha : f a ≤ δ) (bound : ∀ x ∈ Ico a b, f' x ≤ K * f x + ε) : ∀ x ∈ Icc a b, f x ≤ gronwallBound δ K ε (x - a) := by have H : ∀ x ∈ Icc a b, ∀ ε' ∈ Ioi ε, f x ≤ gronwallBound δ K ε' (x - a) := by intro x hx ε' hε' apply image_le_of_liminf_slope_right_lt_deriv_boundary hf hf' · rwa [sub_self, gronwallBound_x0] · exact fun x => hasDerivAt_gronwallBound_shift δ K ε' x a · intro x hx hfB rw [← hfB] apply lt_of_le_of_lt (bound x hx) exact add_lt_add_left (mem_Ioi.1 hε') _ · exact hx intro x hx change f x ≤ (fun ε' => gronwallBound δ K ε' (x - a)) ε convert continuousWithinAt_const.closure_le _ _ (H x hx) · simp only [closure_Ioi, left_mem_Ici] exact (gronwallBound_continuous_ε δ K (x - a)).continuousWithinAt #align le_gronwall_bound_of_liminf_deriv_right_le le_gronwallBound_of_liminf_deriv_right_le theorem norm_le_gronwallBound_of_norm_deriv_right_le {f f' : ℝ → E} {δ K ε : ℝ} {a b : ℝ} (hf : ContinuousOn f (Icc a b)) (hf' : ∀ x ∈ Ico a b, HasDerivWithinAt f (f' x) (Ici x) x) (ha : ‖f a‖ ≤ δ) (bound : ∀ x ∈ Ico a b, ‖f' x‖ ≤ K * ‖f x‖ + ε) : ∀ x ∈ Icc a b, ‖f x‖ ≤ gronwallBound δ K ε (x - a) := le_gronwallBound_of_liminf_deriv_right_le (continuous_norm.comp_continuousOn hf) (fun x hx _r hr => (hf' x hx).liminf_right_slope_norm_le hr) ha bound #align norm_le_gronwall_bound_of_norm_deriv_right_le norm_le_gronwallBound_of_norm_deriv_right_le variable {v : ℝ → E → E} {s : ℝ → Set E} {K : ℝ≥0} {f g f' g' : ℝ → E} {a b t₀ : ℝ} {εf εg δ : ℝ} (hv : ∀ t, LipschitzOnWith K (v t) (s t)) theorem dist_le_of_approx_trajectories_ODE_of_mem (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (f' t) (Ici t) t) (f_bound : ∀ t ∈ Ico a b, dist (f' t) (v t (f t)) ≤ εf) (hfs : ∀ t ∈ Ico a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (g' t) (Ici t) t) (g_bound : ∀ t ∈ Ico a b, dist (g' t) (v t (g t)) ≤ εg) (hgs : ∀ t ∈ Ico a b, g t ∈ s t) (ha : dist (f a) (g a) ≤ δ) : ∀ t ∈ Icc a b, dist (f t) (g t) ≤ gronwallBound δ K (εf + εg) (t - a) := by simp only [dist_eq_norm] at ha ⊢ have h_deriv : ∀ t ∈ Ico a b, HasDerivWithinAt (fun t => f t - g t) (f' t - g' t) (Ici t) t := fun t ht => (hf' t ht).sub (hg' t ht) apply norm_le_gronwallBound_of_norm_deriv_right_le (hf.sub hg) h_deriv ha intro t ht have := dist_triangle4_right (f' t) (g' t) (v t (f t)) (v t (g t)) have hv := (hv t).dist_le_mul _ (hfs t ht) _ (hgs t ht) rw [← dist_eq_norm, ← dist_eq_norm] refine this.trans ((add_le_add (add_le_add (f_bound t ht) (g_bound t ht)) hv).trans ?_) rw [add_comm] set_option linter.uppercaseLean3 false in #align dist_le_of_approx_trajectories_ODE_of_mem_set dist_le_of_approx_trajectories_ODE_of_mem theorem dist_le_of_approx_trajectories_ODE (hv : ∀ t, LipschitzWith K (v t)) (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (f' t) (Ici t) t) (f_bound : ∀ t ∈ Ico a b, dist (f' t) (v t (f t)) ≤ εf) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (g' t) (Ici t) t) (g_bound : ∀ t ∈ Ico a b, dist (g' t) (v t (g t)) ≤ εg) (ha : dist (f a) (g a) ≤ δ) : ∀ t ∈ Icc a b, dist (f t) (g t) ≤ gronwallBound δ K (εf + εg) (t - a) := have hfs : ∀ t ∈ Ico a b, f t ∈ @univ E := fun _ _ => trivial dist_le_of_approx_trajectories_ODE_of_mem (fun t => (hv t).lipschitzOnWith _) hf hf' f_bound hfs hg hg' g_bound (fun _ _ => trivial) ha set_option linter.uppercaseLean3 false in #align dist_le_of_approx_trajectories_ODE dist_le_of_approx_trajectories_ODE theorem dist_le_of_trajectories_ODE_of_mem (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (v t (f t)) (Ici t) t) (hfs : ∀ t ∈ Ico a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (v t (g t)) (Ici t) t) (hgs : ∀ t ∈ Ico a b, g t ∈ s t) (ha : dist (f a) (g a) ≤ δ) : ∀ t ∈ Icc a b, dist (f t) (g t) ≤ δ * exp (K * (t - a)) := by have f_bound : ∀ t ∈ Ico a b, dist (v t (f t)) (v t (f t)) ≤ 0 := by intros; rw [dist_self] have g_bound : ∀ t ∈ Ico a b, dist (v t (g t)) (v t (g t)) ≤ 0 := by intros; rw [dist_self] intro t ht have := dist_le_of_approx_trajectories_ODE_of_mem hv hf hf' f_bound hfs hg hg' g_bound hgs ha t ht rwa [zero_add, gronwallBound_ε0] at this set_option linter.uppercaseLean3 false in #align dist_le_of_trajectories_ODE_of_mem_set dist_le_of_trajectories_ODE_of_mem theorem dist_le_of_trajectories_ODE (hv : ∀ t, LipschitzWith K (v t)) (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (v t (f t)) (Ici t) t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (v t (g t)) (Ici t) t) (ha : dist (f a) (g a) ≤ δ) : ∀ t ∈ Icc a b, dist (f t) (g t) ≤ δ * exp (K * (t - a)) := have hfs : ∀ t ∈ Ico a b, f t ∈ @univ E := fun _ _ => trivial dist_le_of_trajectories_ODE_of_mem (fun t => (hv t).lipschitzOnWith _) hf hf' hfs hg hg' (fun _ _ => trivial) ha set_option linter.uppercaseLean3 false in #align dist_le_of_trajectories_ODE dist_le_of_trajectories_ODE theorem ODE_solution_unique_of_mem_Icc_right (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ico a b, HasDerivWithinAt f (v t (f t)) (Ici t) t) (hfs : ∀ t ∈ Ico a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ico a b, HasDerivWithinAt g (v t (g t)) (Ici t) t) (hgs : ∀ t ∈ Ico a b, g t ∈ s t) (ha : f a = g a) : EqOn f g (Icc a b) := fun t ht ↦ by have := dist_le_of_trajectories_ODE_of_mem hv hf hf' hfs hg hg' hgs (dist_le_zero.2 ha) t ht rwa [zero_mul, dist_le_zero] at this set_option linter.uppercaseLean3 false in #align ODE_solution_unique_of_mem_set ODE_solution_unique_of_mem_Icc_right theorem ODE_solution_unique_of_mem_Icc_left (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ioc a b, HasDerivWithinAt f (v t (f t)) (Iic t) t) (hfs : ∀ t ∈ Ioc a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ioc a b, HasDerivWithinAt g (v t (g t)) (Iic t) t) (hgs : ∀ t ∈ Ioc a b, g t ∈ s t) (hb : f b = g b) : EqOn f g (Icc a b) := by have hv' t : LipschitzOnWith K (Neg.neg ∘ (v (-t))) (s (-t)) := by rw [← one_mul K] exact LipschitzWith.id.neg.comp_lipschitzOnWith (hv _) have hmt1 : MapsTo Neg.neg (Icc (-b) (-a)) (Icc a b) := fun _ ht ↦ ⟨le_neg.mp ht.2, neg_le.mp ht.1⟩ have hmt2 : MapsTo Neg.neg (Ico (-b) (-a)) (Ioc a b) := fun _ ht ↦ ⟨lt_neg.mp ht.2, neg_le.mp ht.1⟩ have hmt3 (t : ℝ) : MapsTo Neg.neg (Ici t) (Iic (-t)) := fun _ ht' ↦ mem_Iic.mpr <| neg_le_neg ht' suffices EqOn (f ∘ Neg.neg) (g ∘ Neg.neg) (Icc (-b) (-a)) by rw [eqOn_comp_right_iff] at this convert this simp apply ODE_solution_unique_of_mem_Icc_right hv' (hf.comp continuousOn_neg hmt1) _ (fun _ ht ↦ hfs _ (hmt2 ht)) (hg.comp continuousOn_neg hmt1) _ (fun _ ht ↦ hgs _ (hmt2 ht)) (by simp [hb]) · intros t ht convert HasFDerivWithinAt.comp_hasDerivWithinAt t (hf' (-t) (hmt2 ht)) (hasDerivAt_neg t).hasDerivWithinAt (hmt3 t) simp · intros t ht convert HasFDerivWithinAt.comp_hasDerivWithinAt t (hg' (-t) (hmt2 ht)) (hasDerivAt_neg t).hasDerivWithinAt (hmt3 t) simp theorem ODE_solution_unique_of_mem_Icc (ht : t₀ ∈ Ioo a b) (hf : ContinuousOn f (Icc a b)) (hf' : ∀ t ∈ Ioo a b, HasDerivAt f (v t (f t)) t) (hfs : ∀ t ∈ Ioo a b, f t ∈ s t) (hg : ContinuousOn g (Icc a b)) (hg' : ∀ t ∈ Ioo a b, HasDerivAt g (v t (g t)) t) (hgs : ∀ t ∈ Ioo a b, g t ∈ s t) (heq : f t₀ = g t₀) : EqOn f g (Icc a b) := by rw [← Icc_union_Icc_eq_Icc (le_of_lt ht.1) (le_of_lt ht.2)] apply EqOn.union · have hss : Ioc a t₀ ⊆ Ioo a b := Ioc_subset_Ioo_right ht.2 exact ODE_solution_unique_of_mem_Icc_left hv (hf.mono <| Icc_subset_Icc_right <| le_of_lt ht.2) (fun _ ht' ↦ (hf' _ (hss ht')).hasDerivWithinAt) (fun _ ht' ↦ (hfs _ (hss ht'))) (hg.mono <| Icc_subset_Icc_right <| le_of_lt ht.2) (fun _ ht' ↦ (hg' _ (hss ht')).hasDerivWithinAt) (fun _ ht' ↦ (hgs _ (hss ht'))) heq · have hss : Ico t₀ b ⊆ Ioo a b := Ico_subset_Ioo_left ht.1 exact ODE_solution_unique_of_mem_Icc_right hv (hf.mono <| Icc_subset_Icc_left <| le_of_lt ht.1) (fun _ ht' ↦ (hf' _ (hss ht')).hasDerivWithinAt) (fun _ ht' ↦ (hfs _ (hss ht'))) (hg.mono <| Icc_subset_Icc_left <| le_of_lt ht.1) (fun _ ht' ↦ (hg' _ (hss ht')).hasDerivWithinAt) (fun _ ht' ↦ (hgs _ (hss ht'))) heq
Mathlib/Analysis/ODE/Gronwall.lean
325
352
theorem ODE_solution_unique_of_mem_Ioo (ht : t₀ ∈ Ioo a b) (hf : ∀ t ∈ Ioo a b, HasDerivAt f (v t (f t)) t ∧ f t ∈ s t) (hg : ∀ t ∈ Ioo a b, HasDerivAt g (v t (g t)) t ∧ g t ∈ s t) (heq : f t₀ = g t₀) : EqOn f g (Ioo a b) := by
intros t' ht' rcases lt_or_le t' t₀ with (h | h) · have hss : Icc t' t₀ ⊆ Ioo a b := fun _ ht'' ↦ ⟨lt_of_lt_of_le ht'.1 ht''.1, lt_of_le_of_lt ht''.2 ht.2⟩ exact ODE_solution_unique_of_mem_Icc_left hv (ContinuousAt.continuousOn fun _ ht'' ↦ (hf _ <| hss ht'').1.continuousAt) (fun _ ht'' ↦ (hf _ <| hss <| Ioc_subset_Icc_self ht'').1.hasDerivWithinAt) (fun _ ht'' ↦ (hf _ <| hss <| Ioc_subset_Icc_self ht'').2) (ContinuousAt.continuousOn fun _ ht'' ↦ (hg _ <| hss ht'').1.continuousAt) (fun _ ht'' ↦ (hg _ <| hss <| Ioc_subset_Icc_self ht'').1.hasDerivWithinAt) (fun _ ht'' ↦ (hg _ <| hss <| Ioc_subset_Icc_self ht'').2) heq ⟨le_rfl, le_of_lt h⟩ · have hss : Icc t₀ t' ⊆ Ioo a b := fun _ ht'' ↦ ⟨lt_of_lt_of_le ht.1 ht''.1, lt_of_le_of_lt ht''.2 ht'.2⟩ exact ODE_solution_unique_of_mem_Icc_right hv (ContinuousAt.continuousOn fun _ ht'' ↦ (hf _ <| hss ht'').1.continuousAt) (fun _ ht'' ↦ (hf _ <| hss <| Ico_subset_Icc_self ht'').1.hasDerivWithinAt) (fun _ ht'' ↦ (hf _ <| hss <| Ico_subset_Icc_self ht'').2) (ContinuousAt.continuousOn fun _ ht'' ↦ (hg _ <| hss ht'').1.continuousAt) (fun _ ht'' ↦ (hg _ <| hss <| Ico_subset_Icc_self ht'').1.hasDerivWithinAt) (fun _ ht'' ↦ (hg _ <| hss <| Ico_subset_Icc_self ht'').2) heq ⟨h, le_rfl⟩
import Mathlib.Mathport.Rename #align_import init.meta.well_founded_tactics from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd" -- Porting note: meta code used to implement well-founded recursion is not ported theorem Nat.lt_add_of_zero_lt_left (a b : Nat) (h : 0 < b) : a < a + b := show a + 0 < a + b by apply Nat.add_lt_add_left assumption #align nat.lt_add_of_zero_lt_left Nat.lt_add_of_zero_lt_left
Mathlib/Init/Meta/WellFoundedTactics.lean
18
18
theorem Nat.zero_lt_one_add (a : Nat) : 0 < 1 + a := by
simp [Nat.one_add]
import Mathlib.Algebra.BigOperators.Module import Mathlib.Algebra.Order.Field.Basic import Mathlib.Order.Filter.ModEq import Mathlib.Analysis.Asymptotics.Asymptotics import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Data.List.TFAE import Mathlib.Analysis.NormedSpace.Basic #align_import analysis.specific_limits.normed from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section open scoped Classical open Set Function Filter Finset Metric Asymptotics open scoped Classical open Topology Nat uniformity NNReal ENNReal variable {α : Type*} {β : Type*} {ι : Type*} theorem tendsto_norm_atTop_atTop : Tendsto (norm : ℝ → ℝ) atTop atTop := tendsto_abs_atTop_atTop #align tendsto_norm_at_top_at_top tendsto_norm_atTop_atTop theorem summable_of_absolute_convergence_real {f : ℕ → ℝ} : (∃ r, Tendsto (fun n ↦ ∑ i ∈ range n, |f i|) atTop (𝓝 r)) → Summable f | ⟨r, hr⟩ => by refine .of_norm ⟨r, (hasSum_iff_tendsto_nat_of_nonneg ?_ _).2 ?_⟩ · exact fun i ↦ norm_nonneg _ · simpa only using hr #align summable_of_absolute_convergence_real summable_of_absolute_convergence_real theorem tendsto_norm_zero' {𝕜 : Type*} [NormedAddCommGroup 𝕜] : Tendsto (norm : 𝕜 → ℝ) (𝓝[≠] 0) (𝓝[>] 0) := tendsto_norm_zero.inf <| tendsto_principal_principal.2 fun _ hx ↦ norm_pos_iff.2 hx #align tendsto_norm_zero' tendsto_norm_zero' theorem isLittleO_pow_pow_of_lt_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ < r₂) : (fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n := have H : 0 < r₂ := h₁.trans_lt h₂ (isLittleO_of_tendsto fun _ hn ↦ False.elim <| H.ne' <| pow_eq_zero hn) <| (tendsto_pow_atTop_nhds_zero_of_lt_one (div_nonneg h₁ (h₁.trans h₂.le)) ((div_lt_one H).2 h₂)).congr fun _ ↦ div_pow _ _ _ #align is_o_pow_pow_of_lt_left isLittleO_pow_pow_of_lt_left theorem isBigO_pow_pow_of_le_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ ≤ r₂) : (fun n : ℕ ↦ r₁ ^ n) =O[atTop] fun n ↦ r₂ ^ n := h₂.eq_or_lt.elim (fun h ↦ h ▸ isBigO_refl _ _) fun h ↦ (isLittleO_pow_pow_of_lt_left h₁ h).isBigO set_option linter.uppercaseLean3 false in #align is_O_pow_pow_of_le_left isBigO_pow_pow_of_le_left theorem isLittleO_pow_pow_of_abs_lt_left {r₁ r₂ : ℝ} (h : |r₁| < |r₂|) : (fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n := by refine (IsLittleO.of_norm_left ?_).of_norm_right exact (isLittleO_pow_pow_of_lt_left (abs_nonneg r₁) h).congr (pow_abs r₁) (pow_abs r₂) #align is_o_pow_pow_of_abs_lt_left isLittleO_pow_pow_of_abs_lt_left open List in theorem TFAE_exists_lt_isLittleO_pow (f : ℕ → ℝ) (R : ℝ) : TFAE [∃ a ∈ Ioo (-R) R, f =o[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =o[atTop] (a ^ ·), ∃ a ∈ Ioo (-R) R, f =O[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =O[atTop] (a ^ ·), ∃ a < R, ∃ C : ℝ, (0 < C ∨ 0 < R) ∧ ∀ n, |f n| ≤ C * a ^ n, ∃ a ∈ Ioo 0 R, ∃ C > 0, ∀ n, |f n| ≤ C * a ^ n, ∃ a < R, ∀ᶠ n in atTop, |f n| ≤ a ^ n, ∃ a ∈ Ioo 0 R, ∀ᶠ n in atTop, |f n| ≤ a ^ n] := by have A : Ico 0 R ⊆ Ioo (-R) R := fun x hx ↦ ⟨(neg_lt_zero.2 (hx.1.trans_lt hx.2)).trans_le hx.1, hx.2⟩ have B : Ioo 0 R ⊆ Ioo (-R) R := Subset.trans Ioo_subset_Ico_self A -- First we prove that 1-4 are equivalent using 2 → 3 → 4, 1 → 3, and 2 → 1 tfae_have 1 → 3 · exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩ tfae_have 2 → 1 · exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩ tfae_have 3 → 2 · rintro ⟨a, ha, H⟩ rcases exists_between (abs_lt.2 ha) with ⟨b, hab, hbR⟩ exact ⟨b, ⟨(abs_nonneg a).trans_lt hab, hbR⟩, H.trans_isLittleO (isLittleO_pow_pow_of_abs_lt_left (hab.trans_le (le_abs_self b)))⟩ tfae_have 2 → 4 · exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩ tfae_have 4 → 3 · exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩ -- Add 5 and 6 using 4 → 6 → 5 → 3 tfae_have 4 → 6 · rintro ⟨a, ha, H⟩ rcases bound_of_isBigO_nat_atTop H with ⟨C, hC₀, hC⟩ refine ⟨a, ha, C, hC₀, fun n ↦ ?_⟩ simpa only [Real.norm_eq_abs, abs_pow, abs_of_nonneg ha.1.le] using hC (pow_ne_zero n ha.1.ne') tfae_have 6 → 5 · exact fun ⟨a, ha, C, H₀, H⟩ ↦ ⟨a, ha.2, C, Or.inl H₀, H⟩ tfae_have 5 → 3 · rintro ⟨a, ha, C, h₀, H⟩ rcases sign_cases_of_C_mul_pow_nonneg fun n ↦ (abs_nonneg _).trans (H n) with (rfl | ⟨hC₀, ha₀⟩) · obtain rfl : f = 0 := by ext n simpa using H n simp only [lt_irrefl, false_or_iff] at h₀ exact ⟨0, ⟨neg_lt_zero.2 h₀, h₀⟩, isBigO_zero _ _⟩ exact ⟨a, A ⟨ha₀, ha⟩, isBigO_of_le' _ fun n ↦ (H n).trans <| mul_le_mul_of_nonneg_left (le_abs_self _) hC₀.le⟩ -- Add 7 and 8 using 2 → 8 → 7 → 3 tfae_have 2 → 8 · rintro ⟨a, ha, H⟩ refine ⟨a, ha, (H.def zero_lt_one).mono fun n hn ↦ ?_⟩ rwa [Real.norm_eq_abs, Real.norm_eq_abs, one_mul, abs_pow, abs_of_pos ha.1] at hn tfae_have 8 → 7 · exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha.2, H⟩ tfae_have 7 → 3 · rintro ⟨a, ha, H⟩ have : 0 ≤ a := nonneg_of_eventually_pow_nonneg (H.mono fun n ↦ (abs_nonneg _).trans) refine ⟨a, A ⟨this, ha⟩, IsBigO.of_bound 1 ?_⟩ simpa only [Real.norm_eq_abs, one_mul, abs_pow, abs_of_nonneg this] -- Porting note: used to work without explicitly having 6 → 7 tfae_have 6 → 7 · exact fun h ↦ tfae_8_to_7 <| tfae_2_to_8 <| tfae_3_to_2 <| tfae_5_to_3 <| tfae_6_to_5 h tfae_finish #align tfae_exists_lt_is_o_pow TFAE_exists_lt_isLittleO_pow theorem isLittleO_pow_const_const_pow_of_one_lt {R : Type*} [NormedRing R] (k : ℕ) {r : ℝ} (hr : 1 < r) : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ r ^ n := by have : Tendsto (fun x : ℝ ↦ x ^ k) (𝓝[>] 1) (𝓝 1) := ((continuous_id.pow k).tendsto' (1 : ℝ) 1 (one_pow _)).mono_left inf_le_left obtain ⟨r' : ℝ, hr' : r' ^ k < r, h1 : 1 < r'⟩ := ((this.eventually (gt_mem_nhds hr)).and self_mem_nhdsWithin).exists have h0 : 0 ≤ r' := zero_le_one.trans h1.le suffices (fun n ↦ (n : R) ^ k : ℕ → R) =O[atTop] fun n : ℕ ↦ (r' ^ k) ^ n from this.trans_isLittleO (isLittleO_pow_pow_of_lt_left (pow_nonneg h0 _) hr') conv in (r' ^ _) ^ _ => rw [← pow_mul, mul_comm, pow_mul] suffices ∀ n : ℕ, ‖(n : R)‖ ≤ (r' - 1)⁻¹ * ‖(1 : R)‖ * ‖r' ^ n‖ from (isBigO_of_le' _ this).pow _ intro n rw [mul_right_comm] refine n.norm_cast_le.trans (mul_le_mul_of_nonneg_right ?_ (norm_nonneg _)) simpa [_root_.div_eq_inv_mul, Real.norm_eq_abs, abs_of_nonneg h0] using n.cast_le_pow_div_sub h1 #align is_o_pow_const_const_pow_of_one_lt isLittleO_pow_const_const_pow_of_one_lt theorem isLittleO_coe_const_pow_of_one_lt {R : Type*} [NormedRing R] {r : ℝ} (hr : 1 < r) : ((↑) : ℕ → R) =o[atTop] fun n ↦ r ^ n := by simpa only [pow_one] using @isLittleO_pow_const_const_pow_of_one_lt R _ 1 _ hr #align is_o_coe_const_pow_of_one_lt isLittleO_coe_const_pow_of_one_lt theorem isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt {R : Type*} [NormedRing R] (k : ℕ) {r₁ : R} {r₂ : ℝ} (h : ‖r₁‖ < r₂) : (fun n ↦ (n : R) ^ k * r₁ ^ n : ℕ → R) =o[atTop] fun n ↦ r₂ ^ n := by by_cases h0 : r₁ = 0 · refine (isLittleO_zero _ _).congr' (mem_atTop_sets.2 <| ⟨1, fun n hn ↦ ?_⟩) EventuallyEq.rfl simp [zero_pow (one_le_iff_ne_zero.1 hn), h0] rw [← Ne, ← norm_pos_iff] at h0 have A : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ (r₂ / ‖r₁‖) ^ n := isLittleO_pow_const_const_pow_of_one_lt k ((one_lt_div h0).2 h) suffices (fun n ↦ r₁ ^ n) =O[atTop] fun n ↦ ‖r₁‖ ^ n by simpa [div_mul_cancel₀ _ (pow_pos h0 _).ne'] using A.mul_isBigO this exact IsBigO.of_bound 1 (by simpa using eventually_norm_pow_le r₁) #align is_o_pow_const_mul_const_pow_const_pow_of_norm_lt isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt theorem tendsto_pow_const_div_const_pow_of_one_lt (k : ℕ) {r : ℝ} (hr : 1 < r) : Tendsto (fun n ↦ (n : ℝ) ^ k / r ^ n : ℕ → ℝ) atTop (𝓝 0) := (isLittleO_pow_const_const_pow_of_one_lt k hr).tendsto_div_nhds_zero #align tendsto_pow_const_div_const_pow_of_one_lt tendsto_pow_const_div_const_pow_of_one_lt theorem tendsto_pow_const_mul_const_pow_of_abs_lt_one (k : ℕ) {r : ℝ} (hr : |r| < 1) : Tendsto (fun n ↦ (n : ℝ) ^ k * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by by_cases h0 : r = 0 · exact tendsto_const_nhds.congr' (mem_atTop_sets.2 ⟨1, fun n hn ↦ by simp [zero_lt_one.trans_le hn |>.ne', h0]⟩) have hr' : 1 < |r|⁻¹ := one_lt_inv (abs_pos.2 h0) hr rw [tendsto_zero_iff_norm_tendsto_zero] simpa [div_eq_mul_inv] using tendsto_pow_const_div_const_pow_of_one_lt k hr' #align tendsto_pow_const_mul_const_pow_of_abs_lt_one tendsto_pow_const_mul_const_pow_of_abs_lt_one theorem tendsto_pow_const_mul_const_pow_of_lt_one (k : ℕ) {r : ℝ} (hr : 0 ≤ r) (h'r : r < 1) : Tendsto (fun n ↦ (n : ℝ) ^ k * r ^ n : ℕ → ℝ) atTop (𝓝 0) := tendsto_pow_const_mul_const_pow_of_abs_lt_one k (abs_lt.2 ⟨neg_one_lt_zero.trans_le hr, h'r⟩) #align tendsto_pow_const_mul_const_pow_of_lt_one tendsto_pow_const_mul_const_pow_of_lt_one theorem tendsto_self_mul_const_pow_of_abs_lt_one {r : ℝ} (hr : |r| < 1) : Tendsto (fun n ↦ n * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by simpa only [pow_one] using tendsto_pow_const_mul_const_pow_of_abs_lt_one 1 hr #align tendsto_self_mul_const_pow_of_abs_lt_one tendsto_self_mul_const_pow_of_abs_lt_one theorem tendsto_self_mul_const_pow_of_lt_one {r : ℝ} (hr : 0 ≤ r) (h'r : r < 1) : Tendsto (fun n ↦ n * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by simpa only [pow_one] using tendsto_pow_const_mul_const_pow_of_lt_one 1 hr h'r #align tendsto_self_mul_const_pow_of_lt_one tendsto_self_mul_const_pow_of_lt_one theorem tendsto_pow_atTop_nhds_zero_of_norm_lt_one {R : Type*} [NormedRing R] {x : R} (h : ‖x‖ < 1) : Tendsto (fun n : ℕ ↦ x ^ n) atTop (𝓝 0) := by apply squeeze_zero_norm' (eventually_norm_pow_le x) exact tendsto_pow_atTop_nhds_zero_of_lt_one (norm_nonneg _) h #align tendsto_pow_at_top_nhds_0_of_norm_lt_1 tendsto_pow_atTop_nhds_zero_of_norm_lt_one @[deprecated (since := "2024-01-31")] alias tendsto_pow_atTop_nhds_0_of_norm_lt_1 := tendsto_pow_atTop_nhds_zero_of_norm_lt_one theorem tendsto_pow_atTop_nhds_zero_of_abs_lt_one {r : ℝ} (h : |r| < 1) : Tendsto (fun n : ℕ ↦ r ^ n) atTop (𝓝 0) := tendsto_pow_atTop_nhds_zero_of_norm_lt_one h #align tendsto_pow_at_top_nhds_0_of_abs_lt_1 tendsto_pow_atTop_nhds_zero_of_abs_lt_one @[deprecated (since := "2024-01-31")] alias tendsto_pow_atTop_nhds_0_of_abs_lt_1 := tendsto_pow_atTop_nhds_zero_of_abs_lt_one section NormedRingGeometric variable {R : Type*} [NormedRing R] [CompleteSpace R] open NormedSpace theorem NormedRing.summable_geometric_of_norm_lt_one (x : R) (h : ‖x‖ < 1) : Summable fun n : ℕ ↦ x ^ n := have h1 : Summable fun n : ℕ ↦ ‖x‖ ^ n := summable_geometric_of_lt_one (norm_nonneg _) h h1.of_norm_bounded_eventually_nat _ (eventually_norm_pow_le x) #align normed_ring.summable_geometric_of_norm_lt_1 NormedRing.summable_geometric_of_norm_lt_one @[deprecated (since := "2024-01-31")] alias NormedRing.summable_geometric_of_norm_lt_1 := NormedRing.summable_geometric_of_norm_lt_one theorem NormedRing.tsum_geometric_of_norm_lt_one (x : R) (h : ‖x‖ < 1) : ‖∑' n : ℕ, x ^ n‖ ≤ ‖(1 : R)‖ - 1 + (1 - ‖x‖)⁻¹ := by rw [tsum_eq_zero_add (summable_geometric_of_norm_lt_one x h)] simp only [_root_.pow_zero] refine le_trans (norm_add_le _ _) ?_ have : ‖∑' b : ℕ, (fun n ↦ x ^ (n + 1)) b‖ ≤ (1 - ‖x‖)⁻¹ - 1 := by refine tsum_of_norm_bounded ?_ fun b ↦ norm_pow_le' _ (Nat.succ_pos b) convert (hasSum_nat_add_iff' 1).mpr (hasSum_geometric_of_lt_one (norm_nonneg x) h) simp linarith #align normed_ring.tsum_geometric_of_norm_lt_1 NormedRing.tsum_geometric_of_norm_lt_one @[deprecated (since := "2024-01-31")] alias NormedRing.tsum_geometric_of_norm_lt_1 := NormedRing.tsum_geometric_of_norm_lt_one theorem geom_series_mul_neg (x : R) (h : ‖x‖ < 1) : (∑' i : ℕ, x ^ i) * (1 - x) = 1 := by have := (NormedRing.summable_geometric_of_norm_lt_one x h).hasSum.mul_right (1 - x) refine tendsto_nhds_unique this.tendsto_sum_nat ?_ have : Tendsto (fun n : ℕ ↦ 1 - x ^ n) atTop (𝓝 1) := by simpa using tendsto_const_nhds.sub (tendsto_pow_atTop_nhds_zero_of_norm_lt_one h) convert← this rw [← geom_sum_mul_neg, Finset.sum_mul] #align geom_series_mul_neg geom_series_mul_neg theorem mul_neg_geom_series (x : R) (h : ‖x‖ < 1) : ((1 - x) * ∑' i : ℕ, x ^ i) = 1 := by have := (NormedRing.summable_geometric_of_norm_lt_one x h).hasSum.mul_left (1 - x) refine tendsto_nhds_unique this.tendsto_sum_nat ?_ have : Tendsto (fun n : ℕ ↦ 1 - x ^ n) atTop (𝓝 1) := by simpa using tendsto_const_nhds.sub (tendsto_pow_atTop_nhds_zero_of_norm_lt_one h) convert← this rw [← mul_neg_geom_sum, Finset.mul_sum] #align mul_neg_geom_series mul_neg_geom_series
Mathlib/Analysis/SpecificLimits/Normed.lean
558
560
theorem geom_series_succ (x : R) (h : ‖x‖ < 1) : ∑' i : ℕ, x ^ (i + 1) = ∑' i : ℕ, x ^ i - 1 := by
rw [eq_sub_iff_add_eq, tsum_eq_zero_add (NormedRing.summable_geometric_of_norm_lt_one x h), pow_zero, add_comm]
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 LinearOrderedField variable [LinearOrderedField α] {a : α} @[simp] theorem preimage_mul_const_Iio (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Iio a = Iio (a / c) := ext fun _x => (lt_div_iff h).symm #align set.preimage_mul_const_Iio Set.preimage_mul_const_Iio @[simp] theorem preimage_mul_const_Ioi (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioi a = Ioi (a / c) := ext fun _x => (div_lt_iff h).symm #align set.preimage_mul_const_Ioi Set.preimage_mul_const_Ioi @[simp] theorem preimage_mul_const_Iic (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Iic a = Iic (a / c) := ext fun _x => (le_div_iff h).symm #align set.preimage_mul_const_Iic Set.preimage_mul_const_Iic @[simp] theorem preimage_mul_const_Ici (a : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ici a = Ici (a / c) := ext fun _x => (div_le_iff h).symm #align set.preimage_mul_const_Ici Set.preimage_mul_const_Ici @[simp] theorem preimage_mul_const_Ioo (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioo a b = Ioo (a / c) (b / c) := by simp [← Ioi_inter_Iio, h] #align set.preimage_mul_const_Ioo Set.preimage_mul_const_Ioo @[simp] theorem preimage_mul_const_Ioc (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ioc a b = Ioc (a / c) (b / c) := by simp [← Ioi_inter_Iic, h] #align set.preimage_mul_const_Ioc Set.preimage_mul_const_Ioc @[simp] theorem preimage_mul_const_Ico (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Ico a b = Ico (a / c) (b / c) := by simp [← Ici_inter_Iio, h] #align set.preimage_mul_const_Ico Set.preimage_mul_const_Ico @[simp] theorem preimage_mul_const_Icc (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) ⁻¹' Icc a b = Icc (a / c) (b / c) := by simp [← Ici_inter_Iic, h] #align set.preimage_mul_const_Icc Set.preimage_mul_const_Icc @[simp] theorem preimage_mul_const_Iio_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Iio a = Ioi (a / c) := ext fun _x => (div_lt_iff_of_neg h).symm #align set.preimage_mul_const_Iio_of_neg Set.preimage_mul_const_Iio_of_neg @[simp] theorem preimage_mul_const_Ioi_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioi a = Iio (a / c) := ext fun _x => (lt_div_iff_of_neg h).symm #align set.preimage_mul_const_Ioi_of_neg Set.preimage_mul_const_Ioi_of_neg @[simp] theorem preimage_mul_const_Iic_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Iic a = Ici (a / c) := ext fun _x => (div_le_iff_of_neg h).symm #align set.preimage_mul_const_Iic_of_neg Set.preimage_mul_const_Iic_of_neg @[simp] theorem preimage_mul_const_Ici_of_neg (a : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ici a = Iic (a / c) := ext fun _x => (le_div_iff_of_neg h).symm #align set.preimage_mul_const_Ici_of_neg Set.preimage_mul_const_Ici_of_neg @[simp] theorem preimage_mul_const_Ioo_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioo a b = Ioo (b / c) (a / c) := by simp [← Ioi_inter_Iio, h, inter_comm] #align set.preimage_mul_const_Ioo_of_neg Set.preimage_mul_const_Ioo_of_neg @[simp] theorem preimage_mul_const_Ioc_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ioc a b = Ico (b / c) (a / c) := by simp [← Ioi_inter_Iic, ← Ici_inter_Iio, h, inter_comm] #align set.preimage_mul_const_Ioc_of_neg Set.preimage_mul_const_Ioc_of_neg @[simp] theorem preimage_mul_const_Ico_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Ico a b = Ioc (b / c) (a / c) := by simp [← Ici_inter_Iio, ← Ioi_inter_Iic, h, inter_comm] #align set.preimage_mul_const_Ico_of_neg Set.preimage_mul_const_Ico_of_neg @[simp] theorem preimage_mul_const_Icc_of_neg (a b : α) {c : α} (h : c < 0) : (fun x => x * c) ⁻¹' Icc a b = Icc (b / c) (a / c) := by simp [← Ici_inter_Iic, h, inter_comm] #align set.preimage_mul_const_Icc_of_neg Set.preimage_mul_const_Icc_of_neg @[simp] theorem preimage_const_mul_Iio (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Iio a = Iio (a / c) := ext fun _x => (lt_div_iff' h).symm #align set.preimage_const_mul_Iio Set.preimage_const_mul_Iio @[simp] theorem preimage_const_mul_Ioi (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioi a = Ioi (a / c) := ext fun _x => (div_lt_iff' h).symm #align set.preimage_const_mul_Ioi Set.preimage_const_mul_Ioi @[simp] theorem preimage_const_mul_Iic (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Iic a = Iic (a / c) := ext fun _x => (le_div_iff' h).symm #align set.preimage_const_mul_Iic Set.preimage_const_mul_Iic @[simp] theorem preimage_const_mul_Ici (a : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ici a = Ici (a / c) := ext fun _x => (div_le_iff' h).symm #align set.preimage_const_mul_Ici Set.preimage_const_mul_Ici @[simp] theorem preimage_const_mul_Ioo (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioo a b = Ioo (a / c) (b / c) := by simp [← Ioi_inter_Iio, h] #align set.preimage_const_mul_Ioo Set.preimage_const_mul_Ioo @[simp] theorem preimage_const_mul_Ioc (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ioc a b = Ioc (a / c) (b / c) := by simp [← Ioi_inter_Iic, h] #align set.preimage_const_mul_Ioc Set.preimage_const_mul_Ioc @[simp] theorem preimage_const_mul_Ico (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Ico a b = Ico (a / c) (b / c) := by simp [← Ici_inter_Iio, h] #align set.preimage_const_mul_Ico Set.preimage_const_mul_Ico @[simp] theorem preimage_const_mul_Icc (a b : α) {c : α} (h : 0 < c) : (c * ·) ⁻¹' Icc a b = Icc (a / c) (b / c) := by simp [← Ici_inter_Iic, h] #align set.preimage_const_mul_Icc Set.preimage_const_mul_Icc @[simp] theorem preimage_const_mul_Iio_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Iio a = Ioi (a / c) := by simpa only [mul_comm] using preimage_mul_const_Iio_of_neg a h #align set.preimage_const_mul_Iio_of_neg Set.preimage_const_mul_Iio_of_neg @[simp] theorem preimage_const_mul_Ioi_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioi a = Iio (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioi_of_neg a h #align set.preimage_const_mul_Ioi_of_neg Set.preimage_const_mul_Ioi_of_neg @[simp] theorem preimage_const_mul_Iic_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Iic a = Ici (a / c) := by simpa only [mul_comm] using preimage_mul_const_Iic_of_neg a h #align set.preimage_const_mul_Iic_of_neg Set.preimage_const_mul_Iic_of_neg @[simp] theorem preimage_const_mul_Ici_of_neg (a : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ici a = Iic (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ici_of_neg a h #align set.preimage_const_mul_Ici_of_neg Set.preimage_const_mul_Ici_of_neg @[simp] theorem preimage_const_mul_Ioo_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioo a b = Ioo (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioo_of_neg a b h #align set.preimage_const_mul_Ioo_of_neg Set.preimage_const_mul_Ioo_of_neg @[simp] theorem preimage_const_mul_Ioc_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ioc a b = Ico (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ioc_of_neg a b h #align set.preimage_const_mul_Ioc_of_neg Set.preimage_const_mul_Ioc_of_neg @[simp] theorem preimage_const_mul_Ico_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Ico a b = Ioc (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Ico_of_neg a b h #align set.preimage_const_mul_Ico_of_neg Set.preimage_const_mul_Ico_of_neg @[simp] theorem preimage_const_mul_Icc_of_neg (a b : α) {c : α} (h : c < 0) : (c * ·) ⁻¹' Icc a b = Icc (b / c) (a / c) := by simpa only [mul_comm] using preimage_mul_const_Icc_of_neg a b h #align set.preimage_const_mul_Icc_of_neg Set.preimage_const_mul_Icc_of_neg @[simp] theorem preimage_mul_const_uIcc (ha : a ≠ 0) (b c : α) : (· * a) ⁻¹' [[b, c]] = [[b / a, c / a]] := (lt_or_gt_of_ne ha).elim (fun h => by simp [← Icc_min_max, h, h.le, min_div_div_right_of_nonpos, max_div_div_right_of_nonpos]) fun ha : 0 < a => by simp [← Icc_min_max, ha, ha.le, min_div_div_right, max_div_div_right] #align set.preimage_mul_const_uIcc Set.preimage_mul_const_uIcc @[simp] theorem preimage_const_mul_uIcc (ha : a ≠ 0) (b c : α) : (a * ·) ⁻¹' [[b, c]] = [[b / a, c / a]] := by simp only [← preimage_mul_const_uIcc ha, mul_comm] #align set.preimage_const_mul_uIcc Set.preimage_const_mul_uIcc @[simp] theorem preimage_div_const_uIcc (ha : a ≠ 0) (b c : α) : (fun x => x / a) ⁻¹' [[b, c]] = [[b * a, c * a]] := by simp only [div_eq_mul_inv, preimage_mul_const_uIcc (inv_ne_zero ha), inv_inv] #align set.preimage_div_const_uIcc Set.preimage_div_const_uIcc @[simp] theorem image_mul_const_uIcc (a b c : α) : (· * a) '' [[b, c]] = [[b * a, c * a]] := if ha : a = 0 then by simp [ha] else calc (fun x => x * a) '' [[b, c]] = (· * a⁻¹) ⁻¹' [[b, c]] := (Units.mk0 a ha).mulRight.image_eq_preimage _ _ = (fun x => x / a) ⁻¹' [[b, c]] := by simp only [div_eq_mul_inv] _ = [[b * a, c * a]] := preimage_div_const_uIcc ha _ _ #align set.image_mul_const_uIcc Set.image_mul_const_uIcc @[simp] theorem image_const_mul_uIcc (a b c : α) : (a * ·) '' [[b, c]] = [[a * b, a * c]] := by simpa only [mul_comm] using image_mul_const_uIcc a b c #align set.image_const_mul_uIcc Set.image_const_mul_uIcc @[simp] theorem image_div_const_uIcc (a b c : α) : (fun x => x / a) '' [[b, c]] = [[b / a, c / a]] := by simp only [div_eq_mul_inv, image_mul_const_uIcc] #align set.image_div_const_uIcc Set.image_div_const_uIcc theorem image_mul_right_Icc' (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) '' Icc a b = Icc (a * c) (b * c) := ((Units.mk0 c h.ne').mulRight.image_eq_preimage _).trans (by simp [h, division_def]) #align set.image_mul_right_Icc' Set.image_mul_right_Icc' theorem image_mul_right_Icc {a b c : α} (hab : a ≤ b) (hc : 0 ≤ c) : (fun x => x * c) '' Icc a b = Icc (a * c) (b * c) := by cases eq_or_lt_of_le hc · subst c simp [(nonempty_Icc.2 hab).image_const] exact image_mul_right_Icc' a b ‹0 < c› #align set.image_mul_right_Icc Set.image_mul_right_Icc theorem image_mul_left_Icc' {a : α} (h : 0 < a) (b c : α) : (a * ·) '' Icc b c = Icc (a * b) (a * c) := by convert image_mul_right_Icc' b c h using 1 <;> simp only [mul_comm _ a] #align set.image_mul_left_Icc' Set.image_mul_left_Icc' theorem image_mul_left_Icc {a b c : α} (ha : 0 ≤ a) (hbc : b ≤ c) : (a * ·) '' Icc b c = Icc (a * b) (a * c) := by convert image_mul_right_Icc hbc ha using 1 <;> simp only [mul_comm _ a] #align set.image_mul_left_Icc Set.image_mul_left_Icc theorem image_mul_right_Ioo (a b : α) {c : α} (h : 0 < c) : (fun x => x * c) '' Ioo a b = Ioo (a * c) (b * c) := ((Units.mk0 c h.ne').mulRight.image_eq_preimage _).trans (by simp [h, division_def]) #align set.image_mul_right_Ioo Set.image_mul_right_Ioo theorem image_mul_left_Ioo {a : α} (h : 0 < a) (b c : α) : (a * ·) '' Ioo b c = Ioo (a * b) (a * c) := by convert image_mul_right_Ioo b c h using 1 <;> simp only [mul_comm _ a] #align set.image_mul_left_Ioo Set.image_mul_left_Ioo theorem inv_Ioo_0_left {a : α} (ha : 0 < a) : (Ioo 0 a)⁻¹ = Ioi a⁻¹ := by ext x exact ⟨fun h => inv_inv x ▸ (inv_lt_inv ha h.1).2 h.2, fun h => ⟨inv_pos.2 <| (inv_pos.2 ha).trans h, inv_inv a ▸ (inv_lt_inv ((inv_pos.2 ha).trans h) (inv_pos.2 ha)).2 h⟩⟩ #align set.inv_Ioo_0_left Set.inv_Ioo_0_left theorem inv_Ioi {a : α} (ha : 0 < a) : (Ioi a)⁻¹ = Ioo 0 a⁻¹ := by rw [inv_eq_iff_eq_inv, inv_Ioo_0_left (inv_pos.2 ha), inv_inv] #align set.inv_Ioi Set.inv_Ioi
Mathlib/Data/Set/Pointwise/Interval.lean
859
862
theorem image_const_mul_Ioi_zero {k : Type*} [LinearOrderedField k] {x : k} (hx : 0 < x) : (fun y => x * y) '' Ioi (0 : k) = Ioi 0 := by
erw [(Units.mk0 x hx.ne').mulLeft.image_eq_preimage, preimage_const_mul_Ioi 0 (inv_pos.mpr hx), zero_div]
import Mathlib.FieldTheory.PrimitiveElement import Mathlib.LinearAlgebra.Determinant import Mathlib.LinearAlgebra.FiniteDimensional import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly import Mathlib.LinearAlgebra.Matrix.ToLinearEquiv import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.FieldTheory.Galois #align_import ring_theory.norm from "leanprover-community/mathlib"@"fecd3520d2a236856f254f27714b80dcfe28ea57" universe u v w variable {R S T : Type*} [CommRing R] [Ring S] variable [Algebra R S] variable {K L F : Type*} [Field K] [Field L] [Field F] variable [Algebra K L] [Algebra K F] variable {ι : Type w} open FiniteDimensional open LinearMap open Matrix Polynomial open scoped Matrix namespace Algebra variable (R) noncomputable def norm : S →* R := LinearMap.det.comp (lmul R S).toRingHom.toMonoidHom #align algebra.norm Algebra.norm theorem norm_apply (x : S) : norm R x = LinearMap.det (lmul R S x) := rfl #align algebra.norm_apply Algebra.norm_apply
Mathlib/RingTheory/Norm.lean
72
73
theorem norm_eq_one_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) (x : S) : norm R x = 1 := by
rw [norm_apply, LinearMap.det]; split_ifs <;> trivial
import Mathlib.Analysis.Convex.Normed import Mathlib.Analysis.Convex.Strict import Mathlib.Analysis.Normed.Order.Basic import Mathlib.Analysis.NormedSpace.AddTorsor import Mathlib.Analysis.NormedSpace.Pointwise import Mathlib.Analysis.NormedSpace.Ray #align_import analysis.convex.strict_convex_space from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f" open Convex Pointwise Set Metric class StrictConvexSpace (𝕜 E : Type*) [NormedLinearOrderedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] : Prop where strictConvex_closedBall : ∀ r : ℝ, 0 < r → StrictConvex 𝕜 (closedBall (0 : E) r) #align strict_convex_space StrictConvexSpace variable (𝕜 : Type*) {E : Type*} [NormedLinearOrderedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] theorem strictConvex_closedBall [StrictConvexSpace 𝕜 E] (x : E) (r : ℝ) : StrictConvex 𝕜 (closedBall x r) := by rcases le_or_lt r 0 with hr | hr · exact (subsingleton_closedBall x hr).strictConvex rw [← vadd_closedBall_zero] exact (StrictConvexSpace.strictConvex_closedBall r hr).vadd _ #align strict_convex_closed_ball strictConvex_closedBall variable [NormedSpace ℝ E] theorem StrictConvexSpace.of_strictConvex_closed_unit_ball [LinearMap.CompatibleSMul E E 𝕜 ℝ] (h : StrictConvex 𝕜 (closedBall (0 : E) 1)) : StrictConvexSpace 𝕜 E := ⟨fun r hr => by simpa only [smul_closedUnitBall_of_nonneg hr.le] using h.smul r⟩ #align strict_convex_space.of_strict_convex_closed_unit_ball StrictConvexSpace.of_strictConvex_closed_unit_ball theorem StrictConvexSpace.of_norm_combo_lt_one (h : ∀ x y : E, ‖x‖ = 1 → ‖y‖ = 1 → x ≠ y → ∃ a b : ℝ, a + b = 1 ∧ ‖a • x + b • y‖ < 1) : StrictConvexSpace ℝ E := by refine StrictConvexSpace.of_strictConvex_closed_unit_ball ℝ ((convex_closedBall _ _).strictConvex' fun x hx y hy hne => ?_) rw [interior_closedBall (0 : E) one_ne_zero, closedBall_diff_ball, mem_sphere_zero_iff_norm] at hx hy rcases h x y hx hy hne with ⟨a, b, hab, hlt⟩ use b rwa [AffineMap.lineMap_apply_module, interior_closedBall (0 : E) one_ne_zero, mem_ball_zero_iff, sub_eq_iff_eq_add.2 hab.symm] #align strict_convex_space.of_norm_combo_lt_one StrictConvexSpace.of_norm_combo_lt_one
Mathlib/Analysis/Convex/StrictConvexSpace.lean
109
120
theorem StrictConvexSpace.of_norm_combo_ne_one (h : ∀ x y : E, ‖x‖ = 1 → ‖y‖ = 1 → x ≠ y → ∃ a b : ℝ, 0 ≤ a ∧ 0 ≤ b ∧ a + b = 1 ∧ ‖a • x + b • y‖ ≠ 1) : StrictConvexSpace ℝ E := by
refine StrictConvexSpace.of_strictConvex_closed_unit_ball ℝ ((convex_closedBall _ _).strictConvex ?_) simp only [interior_closedBall _ one_ne_zero, closedBall_diff_ball, Set.Pairwise, frontier_closedBall _ one_ne_zero, mem_sphere_zero_iff_norm] intro x hx y hy hne rcases h x y hx hy hne with ⟨a, b, ha, hb, hab, hne'⟩ exact ⟨_, ⟨a, b, ha, hb, hab, rfl⟩, mt mem_sphere_zero_iff_norm.1 hne'⟩
import Mathlib.LinearAlgebra.AffineSpace.Independent import Mathlib.LinearAlgebra.Basis #align_import linear_algebra.affine_space.basis from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" open Affine open Set universe u₁ u₂ u₃ u₄ structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V] [AffineSpace V P] [Ring k] [Module k V] where protected toFun : ι → P protected ind' : AffineIndependent k toFun protected tot' : affineSpan k (range toFun) = ⊤ #align affine_basis AffineBasis variable {ι ι' k V P : Type*} [AddCommGroup V] [AffineSpace V P] namespace AffineBasis section Ring variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι') instance : Inhabited (AffineBasis PUnit k PUnit) := ⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩ instance instFunLike : FunLike (AffineBasis ι k P) ι P where coe := AffineBasis.toFun coe_injective' f g h := by cases f; cases g; congr #align affine_basis.fun_like AffineBasis.instFunLike @[ext] theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ := DFunLike.coe_injective h #align affine_basis.ext AffineBasis.ext theorem ind : AffineIndependent k b := b.ind' #align affine_basis.ind AffineBasis.ind theorem tot : affineSpan k (range b) = ⊤ := b.tot' #align affine_basis.tot AffineBasis.tot protected theorem nonempty : Nonempty ι := not_isEmpty_iff.mp fun hι => by simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot #align affine_basis.nonempty AffineBasis.nonempty def reindex (e : ι ≃ ι') : AffineBasis ι' k P := ⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by rw [e.symm.surjective.range_comp] exact b.3⟩ #align affine_basis.reindex AffineBasis.reindex @[simp, norm_cast] theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm := rfl #align affine_basis.coe_reindex AffineBasis.coe_reindex @[simp] theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') := rfl #align affine_basis.reindex_apply AffineBasis.reindex_apply @[simp] theorem reindex_refl : b.reindex (Equiv.refl _) = b := ext rfl #align affine_basis.reindex_refl AffineBasis.reindex_refl noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V := Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind) (by suffices Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top] conv_rhs => rw [← image_univ] rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)] congr ext v simp) #align affine_basis.basis_of AffineBasis.basisOf @[simp] theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by simp [basisOf] #align affine_basis.basis_of_apply AffineBasis.basisOf_apply @[simp] theorem basisOf_reindex (i : ι') : (b.reindex e).basisOf i = (b.basisOf <| e.symm i).reindex (e.subtypeEquiv fun _ => e.eq_symm_apply.not) := by ext j simp #align affine_basis.basis_of_reindex AffineBasis.basisOf_reindex noncomputable def coord (i : ι) : P →ᵃ[k] k where toFun q := 1 - (b.basisOf i).sumCoords (q -ᵥ b i) linear := -(b.basisOf i).sumCoords map_vadd' q v := by dsimp only rw [vadd_vsub_assoc, LinearMap.map_add, vadd_eq_add, LinearMap.neg_apply, sub_add_eq_sub_sub_swap, add_comm, sub_eq_add_neg] #align affine_basis.coord AffineBasis.coord @[simp] theorem linear_eq_sumCoords (i : ι) : (b.coord i).linear = -(b.basisOf i).sumCoords := rfl #align affine_basis.linear_eq_sum_coords AffineBasis.linear_eq_sumCoords @[simp]
Mathlib/LinearAlgebra/AffineSpace/Basis.lean
162
164
theorem coord_reindex (i : ι') : (b.reindex e).coord i = b.coord (e.symm i) := by
ext classical simp [AffineBasis.coord]
import Mathlib.GroupTheory.QuotientGroup import Mathlib.GroupTheory.Solvable import Mathlib.GroupTheory.PGroup import Mathlib.GroupTheory.Sylow import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Tactic.TFAE #align_import group_theory.nilpotent from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e" open Subgroup section WithGroup variable {G : Type*} [Group G] (H : Subgroup G) [Normal H] def upperCentralSeriesStep : Subgroup G where carrier := { x : G | ∀ y : G, x * y * x⁻¹ * y⁻¹ ∈ H } one_mem' y := by simp [Subgroup.one_mem] mul_mem' {a b ha hb y} := by convert Subgroup.mul_mem _ (ha (b * y * b⁻¹)) (hb y) using 1 group inv_mem' {x hx y} := by specialize hx y⁻¹ rw [mul_assoc, inv_inv] at hx ⊢ exact Subgroup.Normal.mem_comm inferInstance hx #align upper_central_series_step upperCentralSeriesStep theorem mem_upperCentralSeriesStep (x : G) : x ∈ upperCentralSeriesStep H ↔ ∀ y, x * y * x⁻¹ * y⁻¹ ∈ H := Iff.rfl #align mem_upper_central_series_step mem_upperCentralSeriesStep open QuotientGroup theorem upperCentralSeriesStep_eq_comap_center : upperCentralSeriesStep H = Subgroup.comap (mk' H) (center (G ⧸ H)) := by ext rw [mem_comap, mem_center_iff, forall_mk] apply forall_congr' intro y rw [coe_mk', ← QuotientGroup.mk_mul, ← QuotientGroup.mk_mul, eq_comm, eq_iff_div_mem, div_eq_mul_inv, mul_inv_rev, mul_assoc] #align upper_central_series_step_eq_comap_center upperCentralSeriesStep_eq_comap_center instance : Normal (upperCentralSeriesStep H) := by rw [upperCentralSeriesStep_eq_comap_center] infer_instance variable (G) def upperCentralSeriesAux : ℕ → Σ'H : Subgroup G, Normal H | 0 => ⟨⊥, inferInstance⟩ | n + 1 => let un := upperCentralSeriesAux n let _un_normal := un.2 ⟨upperCentralSeriesStep un.1, inferInstance⟩ #align upper_central_series_aux upperCentralSeriesAux def upperCentralSeries (n : ℕ) : Subgroup G := (upperCentralSeriesAux G n).1 #align upper_central_series upperCentralSeries instance upperCentralSeries_normal (n : ℕ) : Normal (upperCentralSeries G n) := (upperCentralSeriesAux G n).2 @[simp] theorem upperCentralSeries_zero : upperCentralSeries G 0 = ⊥ := rfl #align upper_central_series_zero upperCentralSeries_zero @[simp] theorem upperCentralSeries_one : upperCentralSeries G 1 = center G := by ext simp only [upperCentralSeries, upperCentralSeriesAux, upperCentralSeriesStep, Subgroup.mem_center_iff, mem_mk, mem_bot, Set.mem_setOf_eq] exact forall_congr' fun y => by rw [mul_inv_eq_one, mul_inv_eq_iff_eq_mul, eq_comm] #align upper_central_series_one upperCentralSeries_one theorem mem_upperCentralSeries_succ_iff (n : ℕ) (x : G) : x ∈ upperCentralSeries G (n + 1) ↔ ∀ y : G, x * y * x⁻¹ * y⁻¹ ∈ upperCentralSeries G n := Iff.rfl #align mem_upper_central_series_succ_iff mem_upperCentralSeries_succ_iff -- is_nilpotent is already defined in the root namespace (for elements of rings). class Group.IsNilpotent (G : Type*) [Group G] : Prop where nilpotent' : ∃ n : ℕ, upperCentralSeries G n = ⊤ #align group.is_nilpotent Group.IsNilpotent -- Porting note: add lemma since infer kinds are unsupported in the definition of `IsNilpotent` lemma Group.IsNilpotent.nilpotent (G : Type*) [Group G] [IsNilpotent G] : ∃ n : ℕ, upperCentralSeries G n = ⊤ := Group.IsNilpotent.nilpotent' open Group variable {G} def IsAscendingCentralSeries (H : ℕ → Subgroup G) : Prop := H 0 = ⊥ ∧ ∀ (x : G) (n : ℕ), x ∈ H (n + 1) → ∀ g, x * g * x⁻¹ * g⁻¹ ∈ H n #align is_ascending_central_series IsAscendingCentralSeries def IsDescendingCentralSeries (H : ℕ → Subgroup G) := H 0 = ⊤ ∧ ∀ (x : G) (n : ℕ), x ∈ H n → ∀ g, x * g * x⁻¹ * g⁻¹ ∈ H (n + 1) #align is_descending_central_series IsDescendingCentralSeries theorem ascending_central_series_le_upper (H : ℕ → Subgroup G) (hH : IsAscendingCentralSeries H) : ∀ n : ℕ, H n ≤ upperCentralSeries G n | 0 => hH.1.symm ▸ le_refl ⊥ | n + 1 => by intro x hx rw [mem_upperCentralSeries_succ_iff] exact fun y => ascending_central_series_le_upper H hH n (hH.2 x n hx y) #align ascending_central_series_le_upper ascending_central_series_le_upper variable (G) theorem upperCentralSeries_isAscendingCentralSeries : IsAscendingCentralSeries (upperCentralSeries G) := ⟨rfl, fun _x _n h => h⟩ #align upper_central_series_is_ascending_central_series upperCentralSeries_isAscendingCentralSeries
Mathlib/GroupTheory/Nilpotent.lean
210
214
theorem upperCentralSeries_mono : Monotone (upperCentralSeries G) := by
refine monotone_nat_of_le_succ ?_ intro n x hx y rw [mul_assoc, mul_assoc, ← mul_assoc y x⁻¹ y⁻¹] exact mul_mem hx (Normal.conj_mem (upperCentralSeries_normal G n) x⁻¹ (inv_mem hx) y)
import Mathlib.Data.Set.Image import Mathlib.Order.SuccPred.Relation import Mathlib.Topology.Clopen import Mathlib.Topology.Irreducible #align_import topology.connected from "leanprover-community/mathlib"@"d101e93197bb5f6ea89bd7ba386b7f7dff1f3903" open Set Function Topology TopologicalSpace Relation open scoped Classical universe u v variable {α : Type u} {β : Type v} {ι : Type*} {π : ι → Type*} [TopologicalSpace α] {s t u v : Set α} section Preconnected def IsPreconnected (s : Set α) : Prop := ∀ u v : Set α, IsOpen u → IsOpen v → s ⊆ u ∪ v → (s ∩ u).Nonempty → (s ∩ v).Nonempty → (s ∩ (u ∩ v)).Nonempty #align is_preconnected IsPreconnected def IsConnected (s : Set α) : Prop := s.Nonempty ∧ IsPreconnected s #align is_connected IsConnected theorem IsConnected.nonempty {s : Set α} (h : IsConnected s) : s.Nonempty := h.1 #align is_connected.nonempty IsConnected.nonempty theorem IsConnected.isPreconnected {s : Set α} (h : IsConnected s) : IsPreconnected s := h.2 #align is_connected.is_preconnected IsConnected.isPreconnected theorem IsPreirreducible.isPreconnected {s : Set α} (H : IsPreirreducible s) : IsPreconnected s := fun _ _ hu hv _ => H _ _ hu hv #align is_preirreducible.is_preconnected IsPreirreducible.isPreconnected theorem IsIrreducible.isConnected {s : Set α} (H : IsIrreducible s) : IsConnected s := ⟨H.nonempty, H.isPreirreducible.isPreconnected⟩ #align is_irreducible.is_connected IsIrreducible.isConnected theorem isPreconnected_empty : IsPreconnected (∅ : Set α) := isPreirreducible_empty.isPreconnected #align is_preconnected_empty isPreconnected_empty theorem isConnected_singleton {x} : IsConnected ({x} : Set α) := isIrreducible_singleton.isConnected #align is_connected_singleton isConnected_singleton theorem isPreconnected_singleton {x} : IsPreconnected ({x} : Set α) := isConnected_singleton.isPreconnected #align is_preconnected_singleton isPreconnected_singleton theorem Set.Subsingleton.isPreconnected {s : Set α} (hs : s.Subsingleton) : IsPreconnected s := hs.induction_on isPreconnected_empty fun _ => isPreconnected_singleton #align set.subsingleton.is_preconnected Set.Subsingleton.isPreconnected theorem isPreconnected_of_forall {s : Set α} (x : α) (H : ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) : IsPreconnected s := by rintro u v hu hv hs ⟨z, zs, zu⟩ ⟨y, ys, yv⟩ have xs : x ∈ s := by rcases H y ys with ⟨t, ts, xt, -, -⟩ exact ts xt -- Porting note (#11215): TODO: use `wlog xu : x ∈ u := hs xs using u v y z, v u z y` cases hs xs with | inl xu => rcases H y ys with ⟨t, ts, xt, yt, ht⟩ have := ht u v hu hv (ts.trans hs) ⟨x, xt, xu⟩ ⟨y, yt, yv⟩ exact this.imp fun z hz => ⟨ts hz.1, hz.2⟩ | inr xv => rcases H z zs with ⟨t, ts, xt, zt, ht⟩ have := ht v u hv hu (ts.trans <| by rwa [union_comm]) ⟨x, xt, xv⟩ ⟨z, zt, zu⟩ exact this.imp fun _ h => ⟨ts h.1, h.2.2, h.2.1⟩ #align is_preconnected_of_forall isPreconnected_of_forall theorem isPreconnected_of_forall_pair {s : Set α} (H : ∀ x ∈ s, ∀ y ∈ s, ∃ t, t ⊆ s ∧ x ∈ t ∧ y ∈ t ∧ IsPreconnected t) : IsPreconnected s := by rcases eq_empty_or_nonempty s with (rfl | ⟨x, hx⟩) exacts [isPreconnected_empty, isPreconnected_of_forall x fun y => H x hx y] #align is_preconnected_of_forall_pair isPreconnected_of_forall_pair
Mathlib/Topology/Connected/Basic.lean
124
128
theorem isPreconnected_sUnion (x : α) (c : Set (Set α)) (H1 : ∀ s ∈ c, x ∈ s) (H2 : ∀ s ∈ c, IsPreconnected s) : IsPreconnected (⋃₀ c) := by
apply isPreconnected_of_forall x rintro y ⟨s, sc, ys⟩ exact ⟨s, subset_sUnion_of_mem sc, H1 s sc, ys, H2 s sc⟩
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 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) _ #align one_div_pow_lt_one_div_pow_of_lt one_div_pow_lt_one_div_pow_of_lt theorem one_div_pow_anti (a1 : 1 ≤ a) : Antitone fun n : ℕ => 1 / a ^ n := fun _ _ => one_div_pow_le_one_div_pow_of_le a1 #align one_div_pow_anti one_div_pow_anti theorem one_div_pow_strictAnti (a1 : 1 < a) : StrictAnti fun n : ℕ => 1 / a ^ n := fun _ _ => one_div_pow_lt_one_div_pow_of_lt a1 #align one_div_pow_strict_anti one_div_pow_strictAnti theorem inv_strictAntiOn : StrictAntiOn (fun x : α => x⁻¹) (Set.Ioi 0) := fun _ hx _ hy xy => (inv_lt_inv hy hx).2 xy #align inv_strict_anti_on inv_strictAntiOn
Mathlib/Algebra/Order/Field/Basic.lean
589
590
theorem inv_pow_le_inv_pow_of_le (a1 : 1 ≤ a) {m n : ℕ} (mn : m ≤ n) : (a ^ n)⁻¹ ≤ (a ^ m)⁻¹ := by
convert one_div_pow_le_one_div_pow_of_le a1 mn using 1 <;> simp
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Convex.StrictConvexSpace import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import analysis.convex.strict_convex_between from "leanprover-community/mathlib"@"e1730698f86560a342271c0471e4cb72d021aabf" open Metric open scoped Convex variable {V P : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] variable [StrictConvexSpace ℝ V] section PseudoMetricSpace variable [PseudoMetricSpace P] [NormedAddTorsor V P] theorem Sbtw.dist_lt_max_dist (p : P) {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : dist p₂ p < max (dist p₁ p) (dist p₃ p) := by have hp₁p₃ : p₁ -ᵥ p ≠ p₃ -ᵥ p := by simpa using h.left_ne_right rw [Sbtw, ← wbtw_vsub_const_iff p, Wbtw, affineSegment_eq_segment, ← insert_endpoints_openSegment, Set.mem_insert_iff, Set.mem_insert_iff] at h rcases h with ⟨h | h | h, hp₂p₁, hp₂p₃⟩ · rw [vsub_left_cancel_iff] at h exact False.elim (hp₂p₁ h) · rw [vsub_left_cancel_iff] at h exact False.elim (hp₂p₃ h) · rw [openSegment_eq_image, Set.mem_image] at h rcases h with ⟨r, ⟨hr0, hr1⟩, hr⟩ simp_rw [@dist_eq_norm_vsub V, ← hr] exact norm_combo_lt_of_ne (le_max_left _ _) (le_max_right _ _) hp₁p₃ (sub_pos.2 hr1) hr0 (by abel) #align sbtw.dist_lt_max_dist Sbtw.dist_lt_max_dist theorem Wbtw.dist_le_max_dist (p : P) {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : dist p₂ p ≤ max (dist p₁ p) (dist p₃ p) := by by_cases hp₁ : p₂ = p₁; · simp [hp₁] by_cases hp₃ : p₂ = p₃; · simp [hp₃] have hs : Sbtw ℝ p₁ p₂ p₃ := ⟨h, hp₁, hp₃⟩ exact (hs.dist_lt_max_dist _).le #align wbtw.dist_le_max_dist Wbtw.dist_le_max_dist
Mathlib/Analysis/Convex/StrictConvexBetween.lean
56
72
theorem Collinear.wbtw_of_dist_eq_of_dist_le {p p₁ p₂ p₃ : P} {r : ℝ} (h : Collinear ℝ ({p₁, p₂, p₃} : Set P)) (hp₁ : dist p₁ p = r) (hp₂ : dist p₂ p ≤ r) (hp₃ : dist p₃ p = r) (hp₁p₃ : p₁ ≠ p₃) : Wbtw ℝ p₁ p₂ p₃ := by
rcases h.wbtw_or_wbtw_or_wbtw with (hw | hw | hw) · exact hw · by_cases hp₃p₂ : p₃ = p₂ · simp [hp₃p₂] have hs : Sbtw ℝ p₂ p₃ p₁ := ⟨hw, hp₃p₂, hp₁p₃.symm⟩ have hs' := hs.dist_lt_max_dist p rw [hp₁, hp₃, lt_max_iff, lt_self_iff_false, or_false_iff] at hs' exact False.elim (hp₂.not_lt hs') · by_cases hp₁p₂ : p₁ = p₂ · simp [hp₁p₂] have hs : Sbtw ℝ p₃ p₁ p₂ := ⟨hw, hp₁p₃, hp₁p₂⟩ have hs' := hs.dist_lt_max_dist p rw [hp₁, hp₃, lt_max_iff, lt_self_iff_false, false_or_iff] at hs' exact False.elim (hp₂.not_lt hs')
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree import Mathlib.Algebra.Polynomial.EraseLead import Mathlib.Algebra.Polynomial.Eval #align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd" namespace Polynomial open Polynomial Finsupp Finset open Polynomial section Semiring variable {R : Type*} [Semiring R] {f : R[X]} def revAtFun (N i : ℕ) : ℕ := ite (i ≤ N) (N - i) i #align polynomial.rev_at_fun Polynomial.revAtFun theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by unfold revAtFun split_ifs with h j · exact tsub_tsub_cancel_of_le h · exfalso apply j exact Nat.sub_le N i · rfl #align polynomial.rev_at_fun_invol Polynomial.revAtFun_invol theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by intro a b hab rw [← @revAtFun_invol N a, hab, revAtFun_invol] #align polynomial.rev_at_fun_inj Polynomial.revAtFun_inj def revAt (N : ℕ) : Function.Embedding ℕ ℕ where toFun i := ite (i ≤ N) (N - i) i inj' := revAtFun_inj #align polynomial.rev_at Polynomial.revAt @[simp] theorem revAtFun_eq (N i : ℕ) : revAtFun N i = revAt N i := rfl #align polynomial.rev_at_fun_eq Polynomial.revAtFun_eq @[simp] theorem revAt_invol {N i : ℕ} : (revAt N) (revAt N i) = i := revAtFun_invol #align polynomial.rev_at_invol Polynomial.revAt_invol @[simp] theorem revAt_le {N i : ℕ} (H : i ≤ N) : revAt N i = N - i := if_pos H #align polynomial.rev_at_le Polynomial.revAt_le lemma revAt_eq_self_of_lt {N i : ℕ} (h : N < i) : revAt N i = i := by simp [revAt, Nat.not_le.mpr h] theorem revAt_add {N O n o : ℕ} (hn : n ≤ N) (ho : o ≤ O) : revAt (N + O) (n + o) = revAt N n + revAt O o := by rcases Nat.le.dest hn with ⟨n', rfl⟩ rcases Nat.le.dest ho with ⟨o', rfl⟩ repeat' rw [revAt_le (le_add_right rfl.le)] rw [add_assoc, add_left_comm n' o, ← add_assoc, revAt_le (le_add_right rfl.le)] repeat' rw [add_tsub_cancel_left] #align polynomial.rev_at_add Polynomial.revAt_add -- @[simp] -- Porting note (#10618): simp can prove this theorem revAt_zero (N : ℕ) : revAt N 0 = N := by simp #align polynomial.rev_at_zero Polynomial.revAt_zero noncomputable def reflect (N : ℕ) : R[X] → R[X] | ⟨f⟩ => ⟨Finsupp.embDomain (revAt N) f⟩ #align polynomial.reflect Polynomial.reflect theorem reflect_support (N : ℕ) (f : R[X]) : (reflect N f).support = Finset.image (revAt N) f.support := by rcases f with ⟨⟩ ext1 simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image] #align polynomial.reflect_support Polynomial.reflect_support @[simp] theorem coeff_reflect (N : ℕ) (f : R[X]) (i : ℕ) : coeff (reflect N f) i = f.coeff (revAt N i) := by rcases f with ⟨f⟩ simp only [reflect, coeff] calc Finsupp.embDomain (revAt N) f i = Finsupp.embDomain (revAt N) f (revAt N (revAt N i)) := by rw [revAt_invol] _ = f (revAt N i) := Finsupp.embDomain_apply _ _ _ #align polynomial.coeff_reflect Polynomial.coeff_reflect @[simp] theorem reflect_zero {N : ℕ} : reflect N (0 : R[X]) = 0 := rfl #align polynomial.reflect_zero Polynomial.reflect_zero @[simp] theorem reflect_eq_zero_iff {N : ℕ} {f : R[X]} : reflect N (f : R[X]) = 0 ↔ f = 0 := by rw [ofFinsupp_eq_zero, reflect, embDomain_eq_zero, ofFinsupp_eq_zero] #align polynomial.reflect_eq_zero_iff Polynomial.reflect_eq_zero_iff @[simp] theorem reflect_add (f g : R[X]) (N : ℕ) : reflect N (f + g) = reflect N f + reflect N g := by ext simp only [coeff_add, coeff_reflect] #align polynomial.reflect_add Polynomial.reflect_add @[simp] theorem reflect_C_mul (f : R[X]) (r : R) (N : ℕ) : reflect N (C r * f) = C r * reflect N f := by ext simp only [coeff_reflect, coeff_C_mul] set_option linter.uppercaseLean3 false in #align polynomial.reflect_C_mul Polynomial.reflect_C_mul -- @[simp] -- Porting note (#10618): simp can prove this (once `reflect_monomial` is in simp scope) theorem reflect_C_mul_X_pow (N n : ℕ) {c : R} : reflect N (C c * X ^ n) = C c * X ^ revAt N n := by ext rw [reflect_C_mul, coeff_C_mul, coeff_C_mul, coeff_X_pow, coeff_reflect] split_ifs with h · rw [h, revAt_invol, coeff_X_pow_self] · rw [not_mem_support_iff.mp] intro a rw [← one_mul (X ^ n), ← C_1] at a apply h rw [← mem_support_C_mul_X_pow a, revAt_invol] set_option linter.uppercaseLean3 false in #align polynomial.reflect_C_mul_X_pow Polynomial.reflect_C_mul_X_pow @[simp] theorem reflect_C (r : R) (N : ℕ) : reflect N (C r) = C r * X ^ N := by conv_lhs => rw [← mul_one (C r), ← pow_zero X, reflect_C_mul_X_pow, revAt_zero] set_option linter.uppercaseLean3 false in #align polynomial.reflect_C Polynomial.reflect_C @[simp] theorem reflect_monomial (N n : ℕ) : reflect N ((X : R[X]) ^ n) = X ^ revAt N n := by rw [← one_mul (X ^ n), ← one_mul (X ^ revAt N n), ← C_1, reflect_C_mul_X_pow] #align polynomial.reflect_monomial Polynomial.reflect_monomial @[simp] lemma reflect_one_X : reflect 1 (X : R[X]) = 1 := by simpa using reflect_monomial 1 1 (R := R)
Mathlib/Algebra/Polynomial/Reverse.lean
173
208
theorem reflect_mul_induction (cf cg : ℕ) : ∀ N O : ℕ, ∀ f g : R[X], f.support.card ≤ cf.succ → g.support.card ≤ cg.succ → f.natDegree ≤ N → g.natDegree ≤ O → reflect (N + O) (f * g) = reflect N f * reflect O g := by
induction' cf with cf hcf --first induction (left): base case · induction' cg with cg hcg -- second induction (right): base case · intro N O f g Cf Cg Nf Og rw [← C_mul_X_pow_eq_self Cf, ← C_mul_X_pow_eq_self Cg] simp_rw [mul_assoc, X_pow_mul, mul_assoc, ← pow_add (X : R[X]), reflect_C_mul, reflect_monomial, add_comm, revAt_add Nf Og, mul_assoc, X_pow_mul, mul_assoc, ← pow_add (X : R[X]), add_comm] -- second induction (right): induction step · intro N O f g Cf Cg Nf Og by_cases g0 : g = 0 · rw [g0, reflect_zero, mul_zero, mul_zero, reflect_zero] rw [← eraseLead_add_C_mul_X_pow g, mul_add, reflect_add, reflect_add, mul_add, hcg, hcg] <;> try assumption · exact le_add_left card_support_C_mul_X_pow_le_one · exact le_trans (natDegree_C_mul_X_pow_le g.leadingCoeff g.natDegree) Og · exact Nat.lt_succ_iff.mp (gt_of_ge_of_gt Cg (eraseLead_support_card_lt g0)) · exact le_trans eraseLead_natDegree_le_aux Og --first induction (left): induction step · intro N O f g Cf Cg Nf Og by_cases f0 : f = 0 · rw [f0, reflect_zero, zero_mul, zero_mul, reflect_zero] rw [← eraseLead_add_C_mul_X_pow f, add_mul, reflect_add, reflect_add, add_mul, hcf, hcf] <;> try assumption · exact le_add_left card_support_C_mul_X_pow_le_one · exact le_trans (natDegree_C_mul_X_pow_le f.leadingCoeff f.natDegree) Nf · exact Nat.lt_succ_iff.mp (gt_of_ge_of_gt Cf (eraseLead_support_card_lt f0)) · exact le_trans eraseLead_natDegree_le_aux Nf
import Mathlib.Algebra.DirectSum.Basic import Mathlib.LinearAlgebra.DFinsupp import Mathlib.LinearAlgebra.Basis #align_import algebra.direct_sum.module from "leanprover-community/mathlib"@"6623e6af705e97002a9054c1c05a980180276fc1" universe u v w u₁ namespace DirectSum open DirectSum section General variable {R : Type u} [Semiring R] variable {ι : Type v} [dec_ι : DecidableEq ι] variable {M : ι → Type w} [∀ i, AddCommMonoid (M i)] [∀ i, Module R (M i)] instance : Module R (⨁ i, M i) := DFinsupp.module instance {S : Type*} [Semiring S] [∀ i, Module S (M i)] [∀ i, SMulCommClass R S (M i)] : SMulCommClass R S (⨁ i, M i) := DFinsupp.smulCommClass instance {S : Type*} [Semiring S] [SMul R S] [∀ i, Module S (M i)] [∀ i, IsScalarTower R S (M i)] : IsScalarTower R S (⨁ i, M i) := DFinsupp.isScalarTower instance [∀ i, Module Rᵐᵒᵖ (M i)] [∀ i, IsCentralScalar R (M i)] : IsCentralScalar R (⨁ i, M i) := DFinsupp.isCentralScalar theorem smul_apply (b : R) (v : ⨁ i, M i) (i : ι) : (b • v) i = b • v i := DFinsupp.smul_apply _ _ _ #align direct_sum.smul_apply DirectSum.smul_apply variable (R ι M) def lmk : ∀ s : Finset ι, (∀ i : (↑s : Set ι), M i.val) →ₗ[R] ⨁ i, M i := DFinsupp.lmk #align direct_sum.lmk DirectSum.lmk def lof : ∀ i : ι, M i →ₗ[R] ⨁ i, M i := DFinsupp.lsingle #align direct_sum.lof DirectSum.lof theorem lof_eq_of (i : ι) (b : M i) : lof R ι M i b = of M i b := rfl #align direct_sum.lof_eq_of DirectSum.lof_eq_of variable {ι M} theorem single_eq_lof (i : ι) (b : M i) : DFinsupp.single i b = lof R ι M i b := rfl #align direct_sum.single_eq_lof DirectSum.single_eq_lof theorem mk_smul (s : Finset ι) (c : R) (x) : mk M s (c • x) = c • mk M s x := (lmk R ι M s).map_smul c x #align direct_sum.mk_smul DirectSum.mk_smul theorem of_smul (i : ι) (c : R) (x) : of M i (c • x) = c • of M i x := (lof R ι M i).map_smul c x #align direct_sum.of_smul DirectSum.of_smul variable {R} theorem support_smul [∀ (i : ι) (x : M i), Decidable (x ≠ 0)] (c : R) (v : ⨁ i, M i) : (c • v).support ⊆ v.support := DFinsupp.support_smul _ _ #align direct_sum.support_smul DirectSum.support_smul variable {N : Type u₁} [AddCommMonoid N] [Module R N] variable (φ : ∀ i, M i →ₗ[R] N) variable (R ι N) def toModule : (⨁ i, M i) →ₗ[R] N := DFunLike.coe (DFinsupp.lsum ℕ) φ #align direct_sum.to_module DirectSum.toModule theorem coe_toModule_eq_coe_toAddMonoid : (toModule R ι N φ : (⨁ i, M i) → N) = toAddMonoid fun i ↦ (φ i).toAddMonoidHom := rfl #align direct_sum.coe_to_module_eq_coe_to_add_monoid DirectSum.coe_toModule_eq_coe_toAddMonoid variable {ι N φ} @[simp] theorem toModule_lof (i) (x : M i) : toModule R ι N φ (lof R ι M i x) = φ i x := toAddMonoid_of (fun i ↦ (φ i).toAddMonoidHom) i x #align direct_sum.to_module_lof DirectSum.toModule_lof variable (ψ : (⨁ i, M i) →ₗ[R] N) theorem toModule.unique (f : ⨁ i, M i) : ψ f = toModule R ι N (fun i ↦ ψ.comp <| lof R ι M i) f := toAddMonoid.unique ψ.toAddMonoidHom f #align direct_sum.to_module.unique DirectSum.toModule.unique variable {ψ} {ψ' : (⨁ i, M i) →ₗ[R] N} @[ext] theorem linearMap_ext ⦃ψ ψ' : (⨁ i, M i) →ₗ[R] N⦄ (H : ∀ i, ψ.comp (lof R ι M i) = ψ'.comp (lof R ι M i)) : ψ = ψ' := DFinsupp.lhom_ext' H #align direct_sum.linear_map_ext DirectSum.linearMap_ext def lsetToSet (S T : Set ι) (H : S ⊆ T) : (⨁ i : S, M i) →ₗ[R] ⨁ i : T, M i := toModule R _ _ fun i ↦ lof R T (fun i : Subtype T ↦ M i) ⟨i, H i.prop⟩ #align direct_sum.lset_to_set DirectSum.lsetToSet variable (ι M) @[simps apply] def linearEquivFunOnFintype [Fintype ι] : (⨁ i, M i) ≃ₗ[R] ∀ i, M i := { DFinsupp.equivFunOnFintype with toFun := (↑) map_add' := fun f g ↦ by ext rw [add_apply, Pi.add_apply] map_smul' := fun c f ↦ by simp_rw [RingHom.id_apply] rw [DFinsupp.coe_smul] } #align direct_sum.linear_equiv_fun_on_fintype DirectSum.linearEquivFunOnFintype variable {ι M} @[simp] theorem linearEquivFunOnFintype_lof [Fintype ι] [DecidableEq ι] (i : ι) (m : M i) : (linearEquivFunOnFintype R ι M) (lof R ι M i m) = Pi.single i m := by ext a change (DFinsupp.equivFunOnFintype (lof R ι M i m)) a = _ convert _root_.congr_fun (DFinsupp.equivFunOnFintype_single i m) a #align direct_sum.linear_equiv_fun_on_fintype_lof DirectSum.linearEquivFunOnFintype_lof @[simp] theorem linearEquivFunOnFintype_symm_single [Fintype ι] [DecidableEq ι] (i : ι) (m : M i) : (linearEquivFunOnFintype R ι M).symm (Pi.single i m) = lof R ι M i m := by change (DFinsupp.equivFunOnFintype.symm (Pi.single i m)) = _ rw [DFinsupp.equivFunOnFintype_symm_single i m] rfl #align direct_sum.linear_equiv_fun_on_fintype_symm_single DirectSum.linearEquivFunOnFintype_symm_single @[simp] theorem linearEquivFunOnFintype_symm_coe [Fintype ι] (f : ⨁ i, M i) : (linearEquivFunOnFintype R ι M).symm f = f := by simp [linearEquivFunOnFintype] #align direct_sum.linear_equiv_fun_on_fintype_symm_coe DirectSum.linearEquivFunOnFintype_symm_coe protected def lid (M : Type v) (ι : Type* := PUnit) [AddCommMonoid M] [Module R M] [Unique ι] : (⨁ _ : ι, M) ≃ₗ[R] M := { DirectSum.id M ι, toModule R ι M fun _ ↦ LinearMap.id with } #align direct_sum.lid DirectSum.lid variable (ι M) def component (i : ι) : (⨁ i, M i) →ₗ[R] M i := DFinsupp.lapply i #align direct_sum.component DirectSum.component variable {ι M} theorem apply_eq_component (f : ⨁ i, M i) (i : ι) : f i = component R ι M i f := rfl #align direct_sum.apply_eq_component DirectSum.apply_eq_component @[ext] theorem ext {f g : ⨁ i, M i} (h : ∀ i, component R ι M i f = component R ι M i g) : f = g := DFinsupp.ext h #align direct_sum.ext DirectSum.ext theorem ext_iff {f g : ⨁ i, M i} : f = g ↔ ∀ i, component R ι M i f = component R ι M i g := ⟨fun h _ ↦ by rw [h], ext R⟩ #align direct_sum.ext_iff DirectSum.ext_iff @[simp] theorem lof_apply (i : ι) (b : M i) : ((lof R ι M i) b) i = b := DFinsupp.single_eq_same #align direct_sum.lof_apply DirectSum.lof_apply @[simp] theorem component.lof_self (i : ι) (b : M i) : component R ι M i ((lof R ι M i) b) = b := lof_apply R i b #align direct_sum.component.lof_self DirectSum.component.lof_self theorem component.of (i j : ι) (b : M j) : component R ι M i ((lof R ι M j) b) = if h : j = i then Eq.recOn h b else 0 := DFinsupp.single_apply #align direct_sum.component.of DirectSum.component.of section Submodule section Semiring variable {R : Type u} [Semiring R] variable {ι : Type v} [dec_ι : DecidableEq ι] variable {M : Type*} [AddCommMonoid M] [Module R M] variable (A : ι → Submodule R M) def coeLinearMap : (⨁ i, A i) →ₗ[R] M := toModule R ι M fun i ↦ (A i).subtype #align direct_sum.coe_linear_map DirectSum.coeLinearMap @[simp] theorem coeLinearMap_of (i : ι) (x : A i) : DirectSum.coeLinearMap A (of (fun i ↦ A i) i x) = x := -- Porting note: spelled out arguments. (I don't know how this works.) toAddMonoid_of (β := fun i => A i) (fun i ↦ ((A i).subtype : A i →+ M)) i x #align direct_sum.coe_linear_map_of DirectSum.coeLinearMap_of variable {A} @[simp] theorem IsInternal.ofBijective_coeLinearMap_same (h : IsInternal A) {i : ι} (x : A i) : (LinearEquiv.ofBijective (coeLinearMap A) h).symm x i = x := by rw [← coeLinearMap_of, LinearEquiv.ofBijective_symm_apply_apply, of_eq_same] @[simp] theorem IsInternal.ofBijective_coeLinearMap_of_ne (h : IsInternal A) {i j : ι} (hij : i ≠ j) (x : A i) : (LinearEquiv.ofBijective (coeLinearMap A) h).symm x j = 0 := by rw [← coeLinearMap_of, LinearEquiv.ofBijective_symm_apply_apply, of_eq_of_ne _ i j _ hij] theorem IsInternal.ofBijective_coeLinearMap_of_mem (h : IsInternal A) {i : ι} {x : M} (hx : x ∈ A i) : (LinearEquiv.ofBijective (coeLinearMap A) h).symm x i = ⟨x, hx⟩ := h.ofBijective_coeLinearMap_same ⟨x, hx⟩ theorem IsInternal.ofBijective_coeLinearMap_of_mem_ne (h : IsInternal A) {i j : ι} (hij : i ≠ j) {x : M} (hx : x ∈ A i) : (LinearEquiv.ofBijective (coeLinearMap A) h).symm x j = 0 := h.ofBijective_coeLinearMap_of_ne hij ⟨x, hx⟩ theorem IsInternal.submodule_iSup_eq_top (h : IsInternal A) : iSup A = ⊤ := by rw [Submodule.iSup_eq_range_dfinsupp_lsum, LinearMap.range_eq_top] exact Function.Bijective.surjective h #align direct_sum.is_internal.submodule_supr_eq_top DirectSum.IsInternal.submodule_iSup_eq_top theorem IsInternal.submodule_independent (h : IsInternal A) : CompleteLattice.Independent A := CompleteLattice.independent_of_dfinsupp_lsum_injective _ h.injective #align direct_sum.is_internal.submodule_independent DirectSum.IsInternal.submodule_independent noncomputable def IsInternal.collectedBasis (h : IsInternal A) {α : ι → Type*} (v : ∀ i, Basis (α i) R (A i)) : Basis (Σi, α i) R M where repr := ((LinearEquiv.ofBijective (DirectSum.coeLinearMap A) h).symm ≪≫ₗ DFinsupp.mapRange.linearEquiv fun i ↦ (v i).repr) ≪≫ₗ (sigmaFinsuppLequivDFinsupp R).symm #align direct_sum.is_internal.collected_basis DirectSum.IsInternal.collectedBasis @[simp]
Mathlib/Algebra/DirectSum/Module.lean
363
383
theorem IsInternal.collectedBasis_coe (h : IsInternal A) {α : ι → Type*} (v : ∀ i, Basis (α i) R (A i)) : ⇑(h.collectedBasis v) = fun a : Σi, α i ↦ ↑(v a.1 a.2) := by
funext a -- Porting note: was -- simp only [IsInternal.collectedBasis, toModule, coeLinearMap, Basis.coe_ofRepr, -- Basis.repr_symm_apply, DFinsupp.lsum_apply_apply, DFinsupp.mapRange.linearEquiv_apply, -- DFinsupp.mapRange.linearEquiv_symm, DFinsupp.mapRange_single, Finsupp.total_single, -- LinearEquiv.ofBijective_apply, LinearEquiv.symm_symm, LinearEquiv.symm_trans_apply, one_smul, -- sigmaFinsuppAddEquivDFinsupp_apply, sigmaFinsuppEquivDFinsupp_single, -- sigmaFinsuppLequivDFinsupp_apply] -- convert DFinsupp.sumAddHom_single (fun i ↦ (A i).subtype.toAddMonoidHom) a.1 (v a.1 a.2) simp only [IsInternal.collectedBasis, coeLinearMap, Basis.coe_ofRepr, LinearEquiv.trans_symm, LinearEquiv.symm_symm, LinearEquiv.trans_apply, sigmaFinsuppLequivDFinsupp_apply, sigmaFinsuppEquivDFinsupp_single, LinearEquiv.ofBijective_apply, sigmaFinsuppAddEquivDFinsupp_apply] rw [DFinsupp.mapRange.linearEquiv_symm] erw [DFinsupp.mapRange.linearEquiv_apply] simp only [DFinsupp.mapRange_single, Basis.repr_symm_apply, Finsupp.total_single, one_smul, toModule] erw [DFinsupp.lsum_single] simp only [Submodule.coeSubtype]
import Mathlib.Data.Finset.Prod import Mathlib.Data.Set.Finite #align_import data.finset.n_ary from "leanprover-community/mathlib"@"eba7871095e834365616b5e43c8c7bb0b37058d0" open Function Set variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*} namespace Finset variable [DecidableEq α'] [DecidableEq β'] [DecidableEq γ] [DecidableEq γ'] [DecidableEq δ] [DecidableEq δ'] [DecidableEq ε] [DecidableEq ε'] {f f' : α → β → γ} {g g' : α → β → γ → δ} {s s' : Finset α} {t t' : Finset β} {u u' : Finset γ} {a a' : α} {b b' : β} {c : γ} def image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : Finset γ := (s ×ˢ t).image <| uncurry f #align finset.image₂ Finset.image₂ @[simp] theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by simp [image₂, and_assoc] #align finset.mem_image₂ Finset.mem_image₂ @[simp, norm_cast] theorem coe_image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : (image₂ f s t : Set γ) = Set.image2 f s t := Set.ext fun _ => mem_image₂ #align finset.coe_image₂ Finset.coe_image₂ theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) : (image₂ f s t).card ≤ s.card * t.card := card_image_le.trans_eq <| card_product _ _ #align finset.card_image₂_le Finset.card_image₂_le theorem card_image₂_iff : (image₂ f s t).card = s.card * t.card ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by rw [← card_product, ← coe_product] exact card_image_iff #align finset.card_image₂_iff Finset.card_image₂_iff theorem card_image₂ (hf : Injective2 f) (s : Finset α) (t : Finset β) : (image₂ f s t).card = s.card * t.card := (card_image_of_injective _ hf.uncurry).trans <| card_product _ _ #align finset.card_image₂ Finset.card_image₂ theorem mem_image₂_of_mem (ha : a ∈ s) (hb : b ∈ t) : f a b ∈ image₂ f s t := mem_image₂.2 ⟨a, ha, b, hb, rfl⟩ #align finset.mem_image₂_of_mem Finset.mem_image₂_of_mem theorem mem_image₂_iff (hf : Injective2 f) : f a b ∈ image₂ f s t ↔ a ∈ s ∧ b ∈ t := by rw [← mem_coe, coe_image₂, mem_image2_iff hf, mem_coe, mem_coe] #align finset.mem_image₂_iff Finset.mem_image₂_iff
Mathlib/Data/Finset/NAry.lean
77
79
theorem image₂_subset (hs : s ⊆ s') (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s' t' := by
rw [← coe_subset, coe_image₂, coe_image₂] exact image2_subset hs ht
import Mathlib.Algebra.Module.Submodule.Map #align_import linear_algebra.basic from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb" open Function open Pointwise variable {R : Type*} {R₁ : Type*} {R₂ : Type*} {R₃ : Type*} variable {K : Type*} variable {M : Type*} {M₁ : Type*} {M₂ : Type*} {M₃ : Type*} variable {V : Type*} {V₂ : Type*} namespace LinearMap section AddCommMonoid variable [Semiring R] [Semiring R₂] [Semiring R₃] variable [AddCommMonoid M] [AddCommMonoid M₂] [AddCommMonoid M₃] variable {σ₁₂ : R →+* R₂} {σ₂₃ : R₂ →+* R₃} {σ₁₃ : R →+* R₃} variable [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃] variable [Module R M] [Module R₂ M₂] [Module R₃ M₃] open Submodule variable {σ₂₁ : R₂ →+* R} {τ₁₂ : R →+* R₂} {τ₂₃ : R₂ →+* R₃} {τ₁₃ : R →+* R₃} variable [RingHomCompTriple τ₁₂ τ₂₃ τ₁₃] variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F τ₁₂ M M₂] def ker (f : F) : Submodule R M := comap f ⊥ #align linear_map.ker LinearMap.ker @[simp] theorem mem_ker {f : F} {y} : y ∈ ker f ↔ f y = 0 := mem_bot R₂ #align linear_map.mem_ker LinearMap.mem_ker @[simp] theorem ker_id : ker (LinearMap.id : M →ₗ[R] M) = ⊥ := rfl #align linear_map.ker_id LinearMap.ker_id @[simp] theorem map_coe_ker (f : F) (x : ker f) : f x = 0 := mem_ker.1 x.2 #align linear_map.map_coe_ker LinearMap.map_coe_ker theorem ker_toAddSubmonoid (f : M →ₛₗ[τ₁₂] M₂) : f.ker.toAddSubmonoid = (AddMonoidHom.mker f) := rfl #align linear_map.ker_to_add_submonoid LinearMap.ker_toAddSubmonoid theorem comp_ker_subtype (f : M →ₛₗ[τ₁₂] M₂) : f.comp f.ker.subtype = 0 := LinearMap.ext fun x => mem_ker.1 x.2 #align linear_map.comp_ker_subtype LinearMap.comp_ker_subtype theorem ker_comp (f : M →ₛₗ[τ₁₂] M₂) (g : M₂ →ₛₗ[τ₂₃] M₃) : ker (g.comp f : M →ₛₗ[τ₁₃] M₃) = comap f (ker g) := rfl #align linear_map.ker_comp LinearMap.ker_comp theorem ker_le_ker_comp (f : M →ₛₗ[τ₁₂] M₂) (g : M₂ →ₛₗ[τ₂₃] M₃) : ker f ≤ ker (g.comp f : M →ₛₗ[τ₁₃] M₃) := by rw [ker_comp]; exact comap_mono bot_le #align linear_map.ker_le_ker_comp LinearMap.ker_le_ker_comp theorem ker_sup_ker_le_ker_comp_of_commute {f g : M →ₗ[R] M} (h : Commute f g) : ker f ⊔ ker g ≤ ker (f ∘ₗ g) := by refine sup_le_iff.mpr ⟨?_, ker_le_ker_comp g f⟩ rw [← mul_eq_comp, h.eq, mul_eq_comp] exact ker_le_ker_comp f g @[simp] theorem ker_le_comap {p : Submodule R₂ M₂} (f : M →ₛₗ[τ₁₂] M₂) : ker f ≤ p.comap f := fun x hx ↦ by simp [mem_ker.mp hx] theorem disjoint_ker {f : F} {p : Submodule R M} : Disjoint p (ker f) ↔ ∀ x ∈ p, f x = 0 → x = 0 := by simp [disjoint_def] #align linear_map.disjoint_ker LinearMap.disjoint_ker theorem ker_eq_bot' {f : F} : ker f = ⊥ ↔ ∀ m, f m = 0 → m = 0 := by simpa [disjoint_iff_inf_le] using disjoint_ker (f := f) (p := ⊤) #align linear_map.ker_eq_bot' LinearMap.ker_eq_bot' theorem ker_eq_bot_of_inverse {τ₂₁ : R₂ →+* R} [RingHomInvPair τ₁₂ τ₂₁] {f : M →ₛₗ[τ₁₂] M₂} {g : M₂ →ₛₗ[τ₂₁] M} (h : (g.comp f : M →ₗ[R] M) = id) : ker f = ⊥ := ker_eq_bot'.2 fun m hm => by rw [← id_apply (R := R) m, ← h, comp_apply, hm, g.map_zero] #align linear_map.ker_eq_bot_of_inverse LinearMap.ker_eq_bot_of_inverse theorem le_ker_iff_map [RingHomSurjective τ₁₂] {f : F} {p : Submodule R M} : p ≤ ker f ↔ map f p = ⊥ := by rw [ker, eq_bot_iff, map_le_iff_le_comap] #align linear_map.le_ker_iff_map LinearMap.le_ker_iff_map theorem ker_codRestrict {τ₂₁ : R₂ →+* R} (p : Submodule R M) (f : M₂ →ₛₗ[τ₂₁] M) (hf) : ker (codRestrict p f hf) = ker f := by rw [ker, comap_codRestrict, Submodule.map_bot]; rfl #align linear_map.ker_cod_restrict LinearMap.ker_codRestrict theorem ker_restrict [AddCommMonoid M₁] [Module R M₁] {p : Submodule R M} {q : Submodule R M₁} {f : M →ₗ[R] M₁} (hf : ∀ x : M, x ∈ p → f x ∈ q) : ker (f.restrict hf) = LinearMap.ker (f.domRestrict p) := by rw [restrict_eq_codRestrict_domRestrict, ker_codRestrict] #align linear_map.ker_restrict LinearMap.ker_restrict @[simp] theorem ker_zero : ker (0 : M →ₛₗ[τ₁₂] M₂) = ⊤ := eq_top_iff'.2 fun x => by simp #align linear_map.ker_zero LinearMap.ker_zero theorem ker_eq_top {f : M →ₛₗ[τ₁₂] M₂} : ker f = ⊤ ↔ f = 0 := ⟨fun h => ext fun _ => mem_ker.1 <| h.symm ▸ trivial, fun h => h.symm ▸ ker_zero⟩ #align linear_map.ker_eq_top LinearMap.ker_eq_top @[simp] theorem _root_.AddMonoidHom.coe_toIntLinearMap_ker {M M₂ : Type*} [AddCommGroup M] [AddCommGroup M₂] (f : M →+ M₂) : LinearMap.ker f.toIntLinearMap = AddSubgroup.toIntSubmodule f.ker := rfl
Mathlib/Algebra/Module/Submodule/Ker.lean
148
155
theorem ker_eq_bot_of_injective {f : F} (hf : Injective f) : ker f = ⊥ := by
have : Disjoint ⊤ (ker f) := by -- Porting note: `← map_zero f` should work here, but it needs to be directly applied to H. rw [disjoint_ker] intros _ _ H rw [← map_zero f] at H exact hf H simpa [disjoint_iff_inf_le]
import Mathlib.Algebra.BigOperators.Ring import Mathlib.Combinatorics.SimpleGraph.Dart import Mathlib.Combinatorics.SimpleGraph.Finite import Mathlib.Data.ZMod.Parity #align_import combinatorics.simple_graph.degree_sum from "leanprover-community/mathlib"@"90659cbe25e59ec302e2fb92b00e9732160cc620" open Finset namespace SimpleGraph universe u variable {V : Type u} (G : SimpleGraph V) section DegreeSum variable [Fintype V] [DecidableRel G.Adj] -- Porting note: Changed to `Fintype (Sym2 V)` to match Combinatorics.SimpleGraph.Basic variable [Fintype (Sym2 V)] theorem dart_fst_fiber [DecidableEq V] (v : V) : (univ.filter fun d : G.Dart => d.fst = v) = univ.image (G.dartOfNeighborSet v) := by ext d simp only [mem_image, true_and_iff, mem_filter, SetCoe.exists, mem_univ, exists_prop_of_true] constructor · rintro rfl exact ⟨_, d.adj, by ext <;> rfl⟩ · rintro ⟨e, he, rfl⟩ rfl #align simple_graph.dart_fst_fiber SimpleGraph.dart_fst_fiber theorem dart_fst_fiber_card_eq_degree [DecidableEq V] (v : V) : (univ.filter fun d : G.Dart => d.fst = v).card = G.degree v := by simpa only [dart_fst_fiber, Finset.card_univ, card_neighborSet_eq_degree] using card_image_of_injective univ (G.dartOfNeighborSet_injective v) #align simple_graph.dart_fst_fiber_card_eq_degree SimpleGraph.dart_fst_fiber_card_eq_degree
Mathlib/Combinatorics/SimpleGraph/DegreeSum.lean
73
76
theorem dart_card_eq_sum_degrees : Fintype.card G.Dart = ∑ v, G.degree v := by
haveI := Classical.decEq V simp only [← card_univ, ← dart_fst_fiber_card_eq_degree] exact card_eq_sum_card_fiberwise (by simp)
import Mathlib.CategoryTheory.Sites.InducedTopology import Mathlib.CategoryTheory.Sites.LocallyBijective import Mathlib.CategoryTheory.Sites.PreservesLocallyBijective import Mathlib.CategoryTheory.Sites.Whiskering universe u namespace CategoryTheory open Functor Limits GrothendieckTopology variable {C : Type*} [Category C] (J : GrothendieckTopology C) variable {D : Type*} [Category D] (K : GrothendieckTopology D) (e : C ≌ D) (G : D ⥤ C) variable (A : Type*) [Category A] namespace Equivalence theorem locallyCoverDense : LocallyCoverDense J e.inverse := by intro X T convert T.prop ext Z f constructor · rintro ⟨_, _, g', hg, rfl⟩ exact T.val.downward_closed hg g' · intro hf refine ⟨e.functor.obj Z, (Adjunction.homEquiv e.toAdjunction _ _).symm f, e.unit.app Z, ?_, ?_⟩ · simp only [Adjunction.homEquiv_counit, Functor.id_obj, Equivalence.toAdjunction_counit, Sieve.functorPullback_apply, Presieve.functorPullback_mem, Functor.map_comp, Equivalence.inv_fun_map, Functor.comp_obj, Category.assoc, Equivalence.unit_inverse_comp, Category.comp_id] exact T.val.downward_closed hf _ · simp theorem coverPreserving : CoverPreserving J (e.locallyCoverDense J).inducedTopology e.functor where cover_preserve {U S} h := by change _ ∈ J.sieves (e.inverse.obj (e.functor.obj U)) convert J.pullback_stable (e.unitInv.app U) h ext Z f rw [← Sieve.functorPushforward_comp] simp only [Sieve.functorPushforward_apply, Presieve.functorPushforward, exists_and_left, id_obj, comp_obj, Sieve.pullback_apply] constructor · rintro ⟨W, g, hg, x, rfl⟩ rw [Category.assoc] apply S.downward_closed simpa using S.downward_closed hg _ · intro hf exact ⟨_, e.unitInv.app Z ≫ f ≫ e.unitInv.app U, S.downward_closed hf _, e.unit.app Z ≫ e.unit.app _, by simp⟩ instance : IsCoverDense e.functor (e.locallyCoverDense J).inducedTopology where is_cover U := by change _ ∈ J.sieves _ convert J.top_mem (e.inverse.obj U) ext Y f simp only [Sieve.functorPushforward_apply, Presieve.functorPushforward, exists_and_left, Sieve.top_apply, iff_true] exact ⟨e.functor.obj Y, (Adjunction.homEquiv e.toAdjunction _ _).symm f, Presieve.in_coverByImage _ _, e.unit.app _, by simp⟩ instance : IsCoverDense e.inverse J where is_cover U := by convert J.top_mem U ext Y f simp only [Sieve.functorPushforward_apply, Presieve.functorPushforward, exists_and_left, Sieve.top_apply, iff_true] let g : e.inverse.obj _ ⟶ U := (e.unitInv.app Y) ≫ f have : (Sieve.coverByImage e.inverse U).arrows g := Presieve.in_coverByImage _ g replace := Sieve.downward_closed _ this (e.unit.app Y) simpa [g] using this class TransportsGrothendieckTopology : Prop where eq_inducedTopology : K = (e.locallyCoverDense J).inducedTopology instance : e.TransportsGrothendieckTopology J (e.locallyCoverDense J).inducedTopology := ⟨rfl⟩ variable [e.TransportsGrothendieckTopology J K] theorem eq_inducedTopology_of_transports : K = (e.locallyCoverDense J).inducedTopology := TransportsGrothendieckTopology.eq_inducedTopology instance : IsContinuous e.functor J K := by rw [e.eq_inducedTopology_of_transports J K] exact IsCoverDense.isContinuous _ _ _ (e.coverPreserving J) instance : IsContinuous e.inverse K J := by rw [eq_inducedTopology_of_transports J K e] exact IsCoverDense.isContinuous _ _ _ (e.locallyCoverDense J).inducedTopology_coverPreserving @[simps!] def sheafCongr.functor : Sheaf J A ⥤ Sheaf K A where obj F := ⟨e.inverse.op ⋙ F.val, e.inverse.op_comp_isSheaf _ _ _⟩ map f := ⟨whiskerLeft e.inverse.op f.val⟩ @[simps!] def sheafCongr.inverse : Sheaf K A ⥤ Sheaf J A where obj F := ⟨e.functor.op ⋙ F.val, e.functor.op_comp_isSheaf _ _ _⟩ map f := ⟨whiskerLeft e.functor.op f.val⟩ @[simps!] def sheafCongr.unitIso : 𝟭 (Sheaf J A) ≅ functor J K e A ⋙ inverse J K e A := NatIso.ofComponents (fun F ↦ ⟨⟨(isoWhiskerRight e.op.unitIso F.val).hom⟩, ⟨(isoWhiskerRight e.op.unitIso F.val).inv⟩, Sheaf.hom_ext _ _ (isoWhiskerRight e.op.unitIso F.val).hom_inv_id, Sheaf.hom_ext _ _ (isoWhiskerRight e.op.unitIso F.val).inv_hom_id⟩ ) (by aesop) @[simps!] def sheafCongr.counitIso : inverse J K e A ⋙ functor J K e A ≅ 𝟭 (Sheaf _ A) := NatIso.ofComponents (fun F ↦ ⟨⟨(isoWhiskerRight e.op.counitIso F.val).hom⟩, ⟨(isoWhiskerRight e.op.counitIso F.val).inv⟩, Sheaf.hom_ext _ _ (isoWhiskerRight e.op.counitIso F.val).hom_inv_id, Sheaf.hom_ext _ _ (isoWhiskerRight e.op.counitIso F.val).inv_hom_id⟩ ) (by aesop) def sheafCongr : Sheaf J A ≌ Sheaf K A where functor := sheafCongr.functor J K e A inverse := sheafCongr.inverse J K e A unitIso := sheafCongr.unitIso J K e A counitIso := sheafCongr.counitIso J K e A functor_unitIso_comp X := by ext simp only [id_obj, sheafCongr.functor_obj_val_obj, comp_obj, Sheaf.instCategorySheaf_comp_val, NatTrans.comp_app, sheafCongr.inverse_obj_val_obj, Opposite.unop_op, sheafCongr.functor_map_val_app, sheafCongr.unitIso_hom_app_val_app, sheafCongr.counitIso_hom_app_val_app, sheafCongr.functor_obj_val_map, Quiver.Hom.unop_op, Sheaf.instCategorySheaf_id_val, NatTrans.id_app] simp [← Functor.map_comp, ← op_comp] -- -- abbrev sheafCongrRight : Sheaf J A ≌ Sheaf (e.locallyCoverDense J).inducedTopology A := -- sheafCongr e A rfl variable [HasSheafify K A] noncomputable def transportAndSheafify : (Cᵒᵖ ⥤ A) ⥤ Sheaf J A := e.op.congrLeft.functor ⋙ presheafToSheaf _ _ ⋙ (e.sheafCongr J K A).inverse noncomputable def transportIsoSheafToPresheaf : (e.sheafCongr J K A).functor ⋙ sheafToPresheaf K A ⋙ e.op.congrLeft.inverse ≅ sheafToPresheaf J A := NatIso.ofComponents (fun F ↦ isoWhiskerRight e.op.unitIso.symm F.val) (by intros; ext; simp [Equivalence.sheafCongr]) noncomputable def transportSheafificationAdjunction : transportAndSheafify J K e A ⊣ sheafToPresheaf J A := ((e.op.congrLeft.toAdjunction.comp (sheafificationAdjunction _ _)).comp (e.sheafCongr J K A).symm.toAdjunction).ofNatIsoRight (transportIsoSheafToPresheaf _ _ _ _) noncomputable instance : PreservesFiniteLimits <| transportAndSheafify J K e A where preservesFiniteLimits _ := compPreservesLimitsOfShape _ _ theorem hasSheafify : HasSheafify J A := HasSheafify.mk' J A (transportSheafificationAdjunction J K e A) variable {A : Type*} [Category A] {B : Type*} [Category B] (F : A ⥤ B) [K.HasSheafCompose F]
Mathlib/CategoryTheory/Sites/Equivalence.lean
204
212
theorem hasSheafCompose : J.HasSheafCompose F where isSheaf P hP := by
have hP' : Presheaf.IsSheaf K (e.inverse.op ⋙ P ⋙ F) := by change Presheaf.IsSheaf K ((_ ⋙ _) ⋙ _) apply HasSheafCompose.isSheaf exact e.inverse.op_comp_isSheaf K J ⟨P, hP⟩ replace hP' : Presheaf.IsSheaf J (e.functor.op ⋙ e.inverse.op ⋙ P ⋙ F) := e.functor.op_comp_isSheaf _ _ ⟨_, hP'⟩ exact (Presheaf.isSheaf_of_iso_iff ((isoWhiskerRight e.op.unitIso.symm (P ⋙ F)))).mp hP'
import Mathlib.SetTheory.Ordinal.Basic import Mathlib.Data.Nat.SuccPred #align_import set_theory.ordinal.arithmetic from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7" assert_not_exists Field assert_not_exists Module noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal variable {α : Type*} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop} @[simp] theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b := Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ => Quotient.sound ⟨(RelIso.preimage Equiv.ulift _).trans (RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩ #align ordinal.lift_add Ordinal.lift_add @[simp] theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by rw [← add_one_eq_succ, lift_add, lift_one] rfl #align ordinal.lift_succ Ordinal.lift_succ instance add_contravariantClass_le : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· ≤ ·) := ⟨fun a b c => inductionOn a fun α r hr => inductionOn b fun β₁ s₁ hs₁ => inductionOn c fun β₂ s₂ hs₂ ⟨f⟩ => ⟨have fl : ∀ a, f (Sum.inl a) = Sum.inl a := fun a => by simpa only [InitialSeg.trans_apply, InitialSeg.leAdd_apply] using @InitialSeg.eq _ _ _ _ _ ((InitialSeg.leAdd r s₁).trans f) (InitialSeg.leAdd r s₂) a have : ∀ b, { b' // f (Sum.inr b) = Sum.inr b' } := by intro b; cases e : f (Sum.inr b) · rw [← fl] at e have := f.inj' e contradiction · exact ⟨_, rfl⟩ let g (b) := (this b).1 have fr : ∀ b, f (Sum.inr b) = Sum.inr (g b) := fun b => (this b).2 ⟨⟨⟨g, fun x y h => by injection f.inj' (by rw [fr, fr, h] : f (Sum.inr x) = f (Sum.inr y))⟩, @fun a b => by -- Porting note: -- `relEmbedding.coe_fn_to_embedding` & `initial_seg.coe_fn_to_rel_embedding` -- → `InitialSeg.coe_coe_fn` simpa only [Sum.lex_inr_inr, fr, InitialSeg.coe_coe_fn, Embedding.coeFn_mk] using @RelEmbedding.map_rel_iff _ _ _ _ f.toRelEmbedding (Sum.inr a) (Sum.inr b)⟩, fun a b H => by rcases f.init (by rw [fr] <;> exact Sum.lex_inr_inr.2 H) with ⟨a' | a', h⟩ · rw [fl] at h cases h · rw [fr] at h exact ⟨a', Sum.inr.inj h⟩⟩⟩⟩ #align ordinal.add_contravariant_class_le Ordinal.add_contravariantClass_le theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c := by simp only [le_antisymm_iff, add_le_add_iff_left] #align ordinal.add_left_cancel Ordinal.add_left_cancel private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by rw [← not_le, ← not_le, add_le_add_iff_left] instance add_covariantClass_lt : CovariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) := ⟨fun a _b _c => (add_lt_add_iff_left' a).2⟩ #align ordinal.add_covariant_class_lt Ordinal.add_covariantClass_lt instance add_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) := ⟨fun a _b _c => (add_lt_add_iff_left' a).1⟩ #align ordinal.add_contravariant_class_lt Ordinal.add_contravariantClass_lt instance add_swap_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (swap (· + ·)) (· < ·) := ⟨fun _a _b _c => lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩ #align ordinal.add_swap_contravariant_class_lt Ordinal.add_swap_contravariantClass_lt theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b | 0 => by simp | n + 1 => by simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right] #align ordinal.add_le_add_iff_right Ordinal.add_le_add_iff_right theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by simp only [le_antisymm_iff, add_le_add_iff_right] #align ordinal.add_right_cancel Ordinal.add_right_cancel theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 := inductionOn a fun α r _ => inductionOn b fun β s _ => by simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty] exact isEmpty_sum #align ordinal.add_eq_zero_iff Ordinal.add_eq_zero_iff theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 := (add_eq_zero_iff.1 h).1 #align ordinal.left_eq_zero_of_add_eq_zero Ordinal.left_eq_zero_of_add_eq_zero theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 := (add_eq_zero_iff.1 h).2 #align ordinal.right_eq_zero_of_add_eq_zero Ordinal.right_eq_zero_of_add_eq_zero def pred (o : Ordinal) : Ordinal := if h : ∃ a, o = succ a then Classical.choose h else o #align ordinal.pred Ordinal.pred @[simp] theorem pred_succ (o) : pred (succ o) = o := by have h : ∃ a, succ o = succ a := ⟨_, rfl⟩; simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm #align ordinal.pred_succ Ordinal.pred_succ theorem pred_le_self (o) : pred o ≤ o := if h : ∃ a, o = succ a then by let ⟨a, e⟩ := h rw [e, pred_succ]; exact le_succ a else by rw [pred, dif_neg h] #align ordinal.pred_le_self Ordinal.pred_le_self theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a := ⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩ #align ordinal.pred_eq_iff_not_succ Ordinal.pred_eq_iff_not_succ theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by simpa using pred_eq_iff_not_succ #align ordinal.pred_eq_iff_not_succ' Ordinal.pred_eq_iff_not_succ' theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a := Iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and_iff, not_le]) (iff_not_comm.1 pred_eq_iff_not_succ).symm #align ordinal.pred_lt_iff_is_succ Ordinal.pred_lt_iff_is_succ @[simp] theorem pred_zero : pred 0 = 0 := pred_eq_iff_not_succ'.2 fun a => (succ_ne_zero a).symm #align ordinal.pred_zero Ordinal.pred_zero theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a := ⟨fun e => ⟨_, e.symm⟩, fun ⟨a, e⟩ => by simp only [e, pred_succ]⟩ #align ordinal.succ_pred_iff_is_succ Ordinal.succ_pred_iff_is_succ theorem succ_lt_of_not_succ {o b : Ordinal} (h : ¬∃ a, o = succ a) : succ b < o ↔ b < o := ⟨(lt_succ b).trans, fun l => lt_of_le_of_ne (succ_le_of_lt l) fun e => h ⟨_, e.symm⟩⟩ #align ordinal.succ_lt_of_not_succ Ordinal.succ_lt_of_not_succ theorem lt_pred {a b} : a < pred b ↔ succ a < b := if h : ∃ a, b = succ a then by let ⟨c, e⟩ := h rw [e, pred_succ, succ_lt_succ_iff] else by simp only [pred, dif_neg h, succ_lt_of_not_succ h] #align ordinal.lt_pred Ordinal.lt_pred theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b := le_iff_le_iff_lt_iff_lt.2 lt_pred #align ordinal.pred_le Ordinal.pred_le @[simp] theorem lift_is_succ {o : Ordinal.{v}} : (∃ a, lift.{u} o = succ a) ↔ ∃ a, o = succ a := ⟨fun ⟨a, h⟩ => let ⟨b, e⟩ := lift_down <| show a ≤ lift.{u} o from le_of_lt <| h.symm ▸ lt_succ a ⟨b, lift_inj.1 <| by rw [h, ← e, lift_succ]⟩, fun ⟨a, h⟩ => ⟨lift.{u} a, by simp only [h, lift_succ]⟩⟩ #align ordinal.lift_is_succ Ordinal.lift_is_succ @[simp] theorem lift_pred (o : Ordinal.{v}) : lift.{u} (pred o) = pred (lift.{u} o) := if h : ∃ a, o = succ a then by cases' h with a e; simp only [e, pred_succ, lift_succ] else by rw [pred_eq_iff_not_succ.2 h, pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)] #align ordinal.lift_pred Ordinal.lift_pred def IsLimit (o : Ordinal) : Prop := o ≠ 0 ∧ ∀ a < o, succ a < o #align ordinal.is_limit Ordinal.IsLimit theorem IsLimit.isSuccLimit {o} (h : IsLimit o) : IsSuccLimit o := isSuccLimit_iff_succ_lt.mpr h.2 theorem IsLimit.succ_lt {o a : Ordinal} (h : IsLimit o) : a < o → succ a < o := h.2 a #align ordinal.is_limit.succ_lt Ordinal.IsLimit.succ_lt theorem isSuccLimit_zero : IsSuccLimit (0 : Ordinal) := isSuccLimit_bot theorem not_zero_isLimit : ¬IsLimit 0 | ⟨h, _⟩ => h rfl #align ordinal.not_zero_is_limit Ordinal.not_zero_isLimit theorem not_succ_isLimit (o) : ¬IsLimit (succ o) | ⟨_, h⟩ => lt_irrefl _ (h _ (lt_succ o)) #align ordinal.not_succ_is_limit Ordinal.not_succ_isLimit theorem not_succ_of_isLimit {o} (h : IsLimit o) : ¬∃ a, o = succ a | ⟨a, e⟩ => not_succ_isLimit a (e ▸ h) #align ordinal.not_succ_of_is_limit Ordinal.not_succ_of_isLimit theorem succ_lt_of_isLimit {o a : Ordinal} (h : IsLimit o) : succ a < o ↔ a < o := ⟨(lt_succ a).trans, h.2 _⟩ #align ordinal.succ_lt_of_is_limit Ordinal.succ_lt_of_isLimit theorem le_succ_of_isLimit {o} (h : IsLimit o) {a} : o ≤ succ a ↔ o ≤ a := le_iff_le_iff_lt_iff_lt.2 <| succ_lt_of_isLimit h #align ordinal.le_succ_of_is_limit Ordinal.le_succ_of_isLimit theorem limit_le {o} (h : IsLimit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a := ⟨fun h _x l => l.le.trans h, fun H => (le_succ_of_isLimit h).1 <| le_of_not_lt fun hn => not_lt_of_le (H _ hn) (lt_succ a)⟩ #align ordinal.limit_le Ordinal.limit_le theorem lt_limit {o} (h : IsLimit o) {a} : a < o ↔ ∃ x < o, a < x := by -- Porting note: `bex_def` is required. simpa only [not_forall₂, not_le, bex_def] using not_congr (@limit_le _ h a) #align ordinal.lt_limit Ordinal.lt_limit @[simp] theorem lift_isLimit (o) : IsLimit (lift o) ↔ IsLimit o := and_congr (not_congr <| by simpa only [lift_zero] using @lift_inj o 0) ⟨fun H a h => lift_lt.1 <| by simpa only [lift_succ] using H _ (lift_lt.2 h), fun H a h => by obtain ⟨a', rfl⟩ := lift_down h.le rw [← lift_succ, lift_lt] exact H a' (lift_lt.1 h)⟩ #align ordinal.lift_is_limit Ordinal.lift_isLimit theorem IsLimit.pos {o : Ordinal} (h : IsLimit o) : 0 < o := lt_of_le_of_ne (Ordinal.zero_le _) h.1.symm #align ordinal.is_limit.pos Ordinal.IsLimit.pos theorem IsLimit.one_lt {o : Ordinal} (h : IsLimit o) : 1 < o := by simpa only [succ_zero] using h.2 _ h.pos #align ordinal.is_limit.one_lt Ordinal.IsLimit.one_lt theorem IsLimit.nat_lt {o : Ordinal} (h : IsLimit o) : ∀ n : ℕ, (n : Ordinal) < o | 0 => h.pos | n + 1 => h.2 _ (IsLimit.nat_lt h n) #align ordinal.is_limit.nat_lt Ordinal.IsLimit.nat_lt theorem zero_or_succ_or_limit (o : Ordinal) : o = 0 ∨ (∃ a, o = succ a) ∨ IsLimit o := if o0 : o = 0 then Or.inl o0 else if h : ∃ a, o = succ a then Or.inr (Or.inl h) else Or.inr <| Or.inr ⟨o0, fun _a => (succ_lt_of_not_succ h).2⟩ #align ordinal.zero_or_succ_or_limit Ordinal.zero_or_succ_or_limit @[elab_as_elim] def limitRecOn {C : Ordinal → Sort*} (o : Ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o)) (H₃ : ∀ o, IsLimit o → (∀ o' < o, C o') → C o) : C o := SuccOrder.limitRecOn o (fun o _ ↦ H₂ o) fun o hl ↦ if h : o = 0 then fun _ ↦ h ▸ H₁ else H₃ o ⟨h, fun _ ↦ hl.succ_lt⟩ #align ordinal.limit_rec_on Ordinal.limitRecOn @[simp] theorem limitRecOn_zero {C} (H₁ H₂ H₃) : @limitRecOn C 0 H₁ H₂ H₃ = H₁ := by rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ isSuccLimit_zero, dif_pos rfl] #align ordinal.limit_rec_on_zero Ordinal.limitRecOn_zero @[simp] theorem limitRecOn_succ {C} (o H₁ H₂ H₃) : @limitRecOn C (succ o) H₁ H₂ H₃ = H₂ o (@limitRecOn C o H₁ H₂ H₃) := by simp_rw [limitRecOn, SuccOrder.limitRecOn_succ _ _ (not_isMax _)] #align ordinal.limit_rec_on_succ Ordinal.limitRecOn_succ @[simp] theorem limitRecOn_limit {C} (o H₁ H₂ H₃ h) : @limitRecOn C o H₁ H₂ H₃ = H₃ o h fun x _h => @limitRecOn C x H₁ H₂ H₃ := by simp_rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ h.isSuccLimit, dif_neg h.1] #align ordinal.limit_rec_on_limit Ordinal.limitRecOn_limit instance orderTopOutSucc (o : Ordinal) : OrderTop (succ o).out.α := @OrderTop.mk _ _ (Top.mk _) le_enum_succ #align ordinal.order_top_out_succ Ordinal.orderTopOutSucc theorem enum_succ_eq_top {o : Ordinal} : enum (· < ·) o (by rw [type_lt] exact lt_succ o) = (⊤ : (succ o).out.α) := rfl #align ordinal.enum_succ_eq_top Ordinal.enum_succ_eq_top theorem has_succ_of_type_succ_lt {α} {r : α → α → Prop} [wo : IsWellOrder α r] (h : ∀ a < type r, succ a < type r) (x : α) : ∃ y, r x y := by use enum r (succ (typein r x)) (h _ (typein_lt_type r x)) convert (enum_lt_enum (typein_lt_type r x) (h _ (typein_lt_type r x))).mpr (lt_succ _); rw [enum_typein] #align ordinal.has_succ_of_type_succ_lt Ordinal.has_succ_of_type_succ_lt theorem out_no_max_of_succ_lt {o : Ordinal} (ho : ∀ a < o, succ a < o) : NoMaxOrder o.out.α := ⟨has_succ_of_type_succ_lt (by rwa [type_lt])⟩ #align ordinal.out_no_max_of_succ_lt Ordinal.out_no_max_of_succ_lt theorem bounded_singleton {r : α → α → Prop} [IsWellOrder α r] (hr : (type r).IsLimit) (x) : Bounded r {x} := by refine ⟨enum r (succ (typein r x)) (hr.2 _ (typein_lt_type r x)), ?_⟩ intro b hb rw [mem_singleton_iff.1 hb] nth_rw 1 [← enum_typein r x] rw [@enum_lt_enum _ r] apply lt_succ #align ordinal.bounded_singleton Ordinal.bounded_singleton -- Porting note: `· < ·` requires a type ascription for an `IsWellOrder` instance. theorem type_subrel_lt (o : Ordinal.{u}) : type (Subrel ((· < ·) : Ordinal → Ordinal → Prop) { o' : Ordinal | o' < o }) = Ordinal.lift.{u + 1} o := by refine Quotient.inductionOn o ?_ rintro ⟨α, r, wo⟩; apply Quotient.sound -- Porting note: `symm; refine' [term]` → `refine' [term].symm` constructor; refine ((RelIso.preimage Equiv.ulift r).trans (enumIso r).symm).symm #align ordinal.type_subrel_lt Ordinal.type_subrel_lt theorem mk_initialSeg (o : Ordinal.{u}) : #{ o' : Ordinal | o' < o } = Cardinal.lift.{u + 1} o.card := by rw [lift_card, ← type_subrel_lt, card_type] #align ordinal.mk_initial_seg Ordinal.mk_initialSeg def IsNormal (f : Ordinal → Ordinal) : Prop := (∀ o, f o < f (succ o)) ∧ ∀ o, IsLimit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a #align ordinal.is_normal Ordinal.IsNormal theorem IsNormal.limit_le {f} (H : IsNormal f) : ∀ {o}, IsLimit o → ∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a := @H.2 #align ordinal.is_normal.limit_le Ordinal.IsNormal.limit_le theorem IsNormal.limit_lt {f} (H : IsNormal f) {o} (h : IsLimit o) {a} : a < f o ↔ ∃ b < o, a < f b := not_iff_not.1 <| by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a #align ordinal.is_normal.limit_lt Ordinal.IsNormal.limit_lt theorem IsNormal.strictMono {f} (H : IsNormal f) : StrictMono f := fun a b => limitRecOn b (Not.elim (not_lt_of_le <| Ordinal.zero_le _)) (fun _b IH h => (lt_or_eq_of_le (le_of_lt_succ h)).elim (fun h => (IH h).trans (H.1 _)) fun e => e ▸ H.1 _) fun _b l _IH h => lt_of_lt_of_le (H.1 a) ((H.2 _ l _).1 le_rfl _ (l.2 _ h)) #align ordinal.is_normal.strict_mono Ordinal.IsNormal.strictMono theorem IsNormal.monotone {f} (H : IsNormal f) : Monotone f := H.strictMono.monotone #align ordinal.is_normal.monotone Ordinal.IsNormal.monotone theorem isNormal_iff_strictMono_limit (f : Ordinal → Ordinal) : IsNormal f ↔ StrictMono f ∧ ∀ o, IsLimit o → ∀ a, (∀ b < o, f b ≤ a) → f o ≤ a := ⟨fun hf => ⟨hf.strictMono, fun a ha c => (hf.2 a ha c).2⟩, fun ⟨hs, hl⟩ => ⟨fun a => hs (lt_succ a), fun a ha c => ⟨fun hac _b hba => ((hs hba).trans_le hac).le, hl a ha c⟩⟩⟩ #align ordinal.is_normal_iff_strict_mono_limit Ordinal.isNormal_iff_strictMono_limit theorem IsNormal.lt_iff {f} (H : IsNormal f) {a b} : f a < f b ↔ a < b := StrictMono.lt_iff_lt <| H.strictMono #align ordinal.is_normal.lt_iff Ordinal.IsNormal.lt_iff theorem IsNormal.le_iff {f} (H : IsNormal f) {a b} : f a ≤ f b ↔ a ≤ b := le_iff_le_iff_lt_iff_lt.2 H.lt_iff #align ordinal.is_normal.le_iff Ordinal.IsNormal.le_iff theorem IsNormal.inj {f} (H : IsNormal f) {a b} : f a = f b ↔ a = b := by simp only [le_antisymm_iff, H.le_iff] #align ordinal.is_normal.inj Ordinal.IsNormal.inj theorem IsNormal.self_le {f} (H : IsNormal f) (a) : a ≤ f a := lt_wf.self_le_of_strictMono H.strictMono a #align ordinal.is_normal.self_le Ordinal.IsNormal.self_le theorem IsNormal.le_set {f o} (H : IsNormal f) (p : Set Ordinal) (p0 : p.Nonempty) (b) (H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f a ≤ o := ⟨fun h a pa => (H.le_iff.2 ((H₂ _).1 le_rfl _ pa)).trans h, fun h => by -- Porting note: `refine'` didn't work well so `induction` is used induction b using limitRecOn with | H₁ => cases' p0 with x px have := Ordinal.le_zero.1 ((H₂ _).1 (Ordinal.zero_le _) _ px) rw [this] at px exact h _ px | H₂ S _ => rcases not_forall₂.1 (mt (H₂ S).2 <| (lt_succ S).not_le) with ⟨a, h₁, h₂⟩ exact (H.le_iff.2 <| succ_le_of_lt <| not_le.1 h₂).trans (h _ h₁) | H₃ S L _ => refine (H.2 _ L _).2 fun a h' => ?_ rcases not_forall₂.1 (mt (H₂ a).2 h'.not_le) with ⟨b, h₁, h₂⟩ exact (H.le_iff.2 <| (not_le.1 h₂).le).trans (h _ h₁)⟩ #align ordinal.is_normal.le_set Ordinal.IsNormal.le_set theorem IsNormal.le_set' {f o} (H : IsNormal f) (p : Set α) (p0 : p.Nonempty) (g : α → Ordinal) (b) (H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, g a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f (g a) ≤ o := by simpa [H₂] using H.le_set (g '' p) (p0.image g) b #align ordinal.is_normal.le_set' Ordinal.IsNormal.le_set' theorem IsNormal.refl : IsNormal id := ⟨lt_succ, fun _o l _a => Ordinal.limit_le l⟩ #align ordinal.is_normal.refl Ordinal.IsNormal.refl theorem IsNormal.trans {f g} (H₁ : IsNormal f) (H₂ : IsNormal g) : IsNormal (f ∘ g) := ⟨fun _x => H₁.lt_iff.2 (H₂.1 _), fun o l _a => H₁.le_set' (· < o) ⟨0, l.pos⟩ g _ fun _c => H₂.2 _ l _⟩ #align ordinal.is_normal.trans Ordinal.IsNormal.trans theorem IsNormal.isLimit {f} (H : IsNormal f) {o} (l : IsLimit o) : IsLimit (f o) := ⟨ne_of_gt <| (Ordinal.zero_le _).trans_lt <| H.lt_iff.2 l.pos, fun _ h => let ⟨_b, h₁, h₂⟩ := (H.limit_lt l).1 h (succ_le_of_lt h₂).trans_lt (H.lt_iff.2 h₁)⟩ #align ordinal.is_normal.is_limit Ordinal.IsNormal.isLimit theorem IsNormal.le_iff_eq {f} (H : IsNormal f) {a} : f a ≤ a ↔ f a = a := (H.self_le a).le_iff_eq #align ordinal.is_normal.le_iff_eq Ordinal.IsNormal.le_iff_eq theorem add_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c := ⟨fun h b' l => (add_le_add_left l.le _).trans h, fun H => le_of_not_lt <| by -- Porting note: `induction` tactics are required because of the parser bug. induction a using inductionOn with | H α r => induction b using inductionOn with | H β s => intro l suffices ∀ x : β, Sum.Lex r s (Sum.inr x) (enum _ _ l) by -- Porting note: `revert` & `intro` is required because `cases'` doesn't replace -- `enum _ _ l` in `this`. revert this; cases' enum _ _ l with x x <;> intro this · cases this (enum s 0 h.pos) · exact irrefl _ (this _) intro x rw [← typein_lt_typein (Sum.Lex r s), typein_enum] have := H _ (h.2 _ (typein_lt_type s x)) rw [add_succ, succ_le_iff] at this refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this · rcases a with ⟨a | b, h⟩ · exact Sum.inl a · exact Sum.inr ⟨b, by cases h; assumption⟩ · rcases a with ⟨a | a, h₁⟩ <;> rcases b with ⟨b | b, h₂⟩ <;> cases h₁ <;> cases h₂ <;> rintro ⟨⟩ <;> constructor <;> assumption⟩ #align ordinal.add_le_of_limit Ordinal.add_le_of_limit theorem add_isNormal (a : Ordinal) : IsNormal (a + ·) := ⟨fun b => (add_lt_add_iff_left a).2 (lt_succ b), fun _b l _c => add_le_of_limit l⟩ #align ordinal.add_is_normal Ordinal.add_isNormal theorem add_isLimit (a) {b} : IsLimit b → IsLimit (a + b) := (add_isNormal a).isLimit #align ordinal.add_is_limit Ordinal.add_isLimit alias IsLimit.add := add_isLimit #align ordinal.is_limit.add Ordinal.IsLimit.add theorem sub_nonempty {a b : Ordinal} : { o | a ≤ b + o }.Nonempty := ⟨a, le_add_left _ _⟩ #align ordinal.sub_nonempty Ordinal.sub_nonempty instance sub : Sub Ordinal := ⟨fun a b => sInf { o | a ≤ b + o }⟩ theorem le_add_sub (a b : Ordinal) : a ≤ b + (a - b) := csInf_mem sub_nonempty #align ordinal.le_add_sub Ordinal.le_add_sub theorem sub_le {a b c : Ordinal} : a - b ≤ c ↔ a ≤ b + c := ⟨fun h => (le_add_sub a b).trans (add_le_add_left h _), fun h => csInf_le' h⟩ #align ordinal.sub_le Ordinal.sub_le theorem lt_sub {a b c : Ordinal} : a < b - c ↔ c + a < b := lt_iff_lt_of_le_iff_le sub_le #align ordinal.lt_sub Ordinal.lt_sub theorem add_sub_cancel (a b : Ordinal) : a + b - a = b := le_antisymm (sub_le.2 <| le_rfl) ((add_le_add_iff_left a).1 <| le_add_sub _ _) #align ordinal.add_sub_cancel Ordinal.add_sub_cancel theorem sub_eq_of_add_eq {a b c : Ordinal} (h : a + b = c) : c - a = b := h ▸ add_sub_cancel _ _ #align ordinal.sub_eq_of_add_eq Ordinal.sub_eq_of_add_eq theorem sub_le_self (a b : Ordinal) : a - b ≤ a := sub_le.2 <| le_add_left _ _ #align ordinal.sub_le_self Ordinal.sub_le_self protected theorem add_sub_cancel_of_le {a b : Ordinal} (h : b ≤ a) : b + (a - b) = a := (le_add_sub a b).antisymm' (by rcases zero_or_succ_or_limit (a - b) with (e | ⟨c, e⟩ | l) · simp only [e, add_zero, h] · rw [e, add_succ, succ_le_iff, ← lt_sub, e] exact lt_succ c · exact (add_le_of_limit l).2 fun c l => (lt_sub.1 l).le) #align ordinal.add_sub_cancel_of_le Ordinal.add_sub_cancel_of_le theorem le_sub_of_le {a b c : Ordinal} (h : b ≤ a) : c ≤ a - b ↔ b + c ≤ a := by rw [← add_le_add_iff_left b, Ordinal.add_sub_cancel_of_le h] #align ordinal.le_sub_of_le Ordinal.le_sub_of_le theorem sub_lt_of_le {a b c : Ordinal} (h : b ≤ a) : a - b < c ↔ a < b + c := lt_iff_lt_of_le_iff_le (le_sub_of_le h) #align ordinal.sub_lt_of_le Ordinal.sub_lt_of_le instance existsAddOfLE : ExistsAddOfLE Ordinal := ⟨fun h => ⟨_, (Ordinal.add_sub_cancel_of_le h).symm⟩⟩ @[simp] theorem sub_zero (a : Ordinal) : a - 0 = a := by simpa only [zero_add] using add_sub_cancel 0 a #align ordinal.sub_zero Ordinal.sub_zero @[simp] theorem zero_sub (a : Ordinal) : 0 - a = 0 := by rw [← Ordinal.le_zero]; apply sub_le_self #align ordinal.zero_sub Ordinal.zero_sub @[simp]
Mathlib/SetTheory/Ordinal/Arithmetic.lean
589
589
theorem sub_self (a : Ordinal) : a - a = 0 := by
simpa only [add_zero] using add_sub_cancel a 0
import Mathlib.Data.PFunctor.Multivariate.Basic import Mathlib.Data.PFunctor.Univariate.M #align_import data.pfunctor.multivariate.M from "leanprover-community/mathlib"@"2738d2ca56cbc63be80c3bd48e9ed90ad94e947d" set_option linter.uppercaseLean3 false universe u open MvFunctor namespace MvPFunctor open TypeVec variable {n : ℕ} (P : MvPFunctor.{u} (n + 1)) inductive M.Path : P.last.M → Fin2 n → Type u | root (x : P.last.M) (a : P.A) (f : P.last.B a → P.last.M) (h : PFunctor.M.dest x = ⟨a, f⟩) (i : Fin2 n) (c : P.drop.B a i) : M.Path x i | child (x : P.last.M) (a : P.A) (f : P.last.B a → P.last.M) (h : PFunctor.M.dest x = ⟨a, f⟩) (j : P.last.B a) (i : Fin2 n) (c : M.Path (f j) i) : M.Path x i #align mvpfunctor.M.path MvPFunctor.M.Path instance M.Path.inhabited (x : P.last.M) {i} [Inhabited (P.drop.B x.head i)] : Inhabited (M.Path P x i) := let a := PFunctor.M.head x let f := PFunctor.M.children x ⟨M.Path.root _ a f (PFunctor.M.casesOn' x (r := fun _ => PFunctor.M.dest x = ⟨a, f⟩) <| by intros; simp [a, PFunctor.M.dest_mk, PFunctor.M.children_mk]; rfl) _ default⟩ #align mvpfunctor.M.path.inhabited MvPFunctor.M.Path.inhabited def mp : MvPFunctor n where A := P.last.M B := M.Path P #align mvpfunctor.Mp MvPFunctor.mp def M (α : TypeVec n) : Type _ := P.mp α #align mvpfunctor.M MvPFunctor.M instance mvfunctorM : MvFunctor P.M := by delta M; infer_instance #align mvpfunctor.mvfunctor_M MvPFunctor.mvfunctorM instance inhabitedM {α : TypeVec _} [I : Inhabited P.A] [∀ i : Fin2 n, Inhabited (α i)] : Inhabited (P.M α) := @Obj.inhabited _ (mp P) _ (@PFunctor.M.inhabited P.last I) _ #align mvpfunctor.inhabited_M MvPFunctor.inhabitedM def M.corecShape {β : Type u} (g₀ : β → P.A) (g₂ : ∀ b : β, P.last.B (g₀ b) → β) : β → P.last.M := PFunctor.M.corec fun b => ⟨g₀ b, g₂ b⟩ #align mvpfunctor.M.corec_shape MvPFunctor.M.corecShape def castDropB {a a' : P.A} (h : a = a') : P.drop.B a ⟹ P.drop.B a' := fun _i b => Eq.recOn h b #align mvpfunctor.cast_dropB MvPFunctor.castDropB def castLastB {a a' : P.A} (h : a = a') : P.last.B a → P.last.B a' := fun b => Eq.recOn h b #align mvpfunctor.cast_lastB MvPFunctor.castLastB def M.corecContents {α : TypeVec.{u} n} {β : Type u} (g₀ : β → P.A) (g₁ : ∀ b : β, P.drop.B (g₀ b) ⟹ α) (g₂ : ∀ b : β, P.last.B (g₀ b) → β) (x : _) (b : β) (h: x = M.corecShape P g₀ g₂ b) : M.Path P x ⟹ α | _, M.Path.root x a f h' i c => have : a = g₀ b := by rw [h, M.corecShape, PFunctor.M.dest_corec] at h' cases h' rfl g₁ b i (P.castDropB this i c) | _, M.Path.child x a f h' j i c => have h₀ : a = g₀ b := by rw [h, M.corecShape, PFunctor.M.dest_corec] at h' cases h' rfl have h₁ : f j = M.corecShape P g₀ g₂ (g₂ b (castLastB P h₀ j)) := by rw [h, M.corecShape, PFunctor.M.dest_corec] at h' cases h' rfl M.corecContents g₀ g₁ g₂ (f j) (g₂ b (P.castLastB h₀ j)) h₁ i c #align mvpfunctor.M.corec_contents MvPFunctor.M.corecContents def M.corec' {α : TypeVec n} {β : Type u} (g₀ : β → P.A) (g₁ : ∀ b : β, P.drop.B (g₀ b) ⟹ α) (g₂ : ∀ b : β, P.last.B (g₀ b) → β) : β → P.M α := fun b => ⟨M.corecShape P g₀ g₂ b, M.corecContents P g₀ g₁ g₂ _ _ rfl⟩ #align mvpfunctor.M.corec' MvPFunctor.M.corec' def M.corec {α : TypeVec n} {β : Type u} (g : β → P (α.append1 β)) : β → P.M α := M.corec' P (fun b => (g b).fst) (fun b => dropFun (g b).snd) fun b => lastFun (g b).snd #align mvpfunctor.M.corec MvPFunctor.M.corec def M.pathDestLeft {α : TypeVec n} {x : P.last.M} {a : P.A} {f : P.last.B a → P.last.M} (h : PFunctor.M.dest x = ⟨a, f⟩) (f' : M.Path P x ⟹ α) : P.drop.B a ⟹ α := fun i c => f' i (M.Path.root x a f h i c) #align mvpfunctor.M.path_dest_left MvPFunctor.M.pathDestLeft def M.pathDestRight {α : TypeVec n} {x : P.last.M} {a : P.A} {f : P.last.B a → P.last.M} (h : PFunctor.M.dest x = ⟨a, f⟩) (f' : M.Path P x ⟹ α) : ∀ j : P.last.B a, M.Path P (f j) ⟹ α := fun j i c => f' i (M.Path.child x a f h j i c) #align mvpfunctor.M.path_dest_right MvPFunctor.M.pathDestRight def M.dest' {α : TypeVec n} {x : P.last.M} {a : P.A} {f : P.last.B a → P.last.M} (h : PFunctor.M.dest x = ⟨a, f⟩) (f' : M.Path P x ⟹ α) : P (α.append1 (P.M α)) := ⟨a, splitFun (M.pathDestLeft P h f') fun x => ⟨f x, M.pathDestRight P h f' x⟩⟩ #align mvpfunctor.M.dest' MvPFunctor.M.dest' def M.dest {α : TypeVec n} (x : P.M α) : P (α ::: P.M α) := M.dest' P (Sigma.eta <| PFunctor.M.dest x.fst).symm x.snd #align mvpfunctor.M.dest MvPFunctor.M.dest def M.mk {α : TypeVec n} : P (α.append1 (P.M α)) → P.M α := M.corec _ fun i => appendFun id (M.dest P) <$$> i #align mvpfunctor.M.mk MvPFunctor.M.mk theorem M.dest'_eq_dest' {α : TypeVec n} {x : P.last.M} {a₁ : P.A} {f₁ : P.last.B a₁ → P.last.M} (h₁ : PFunctor.M.dest x = ⟨a₁, f₁⟩) {a₂ : P.A} {f₂ : P.last.B a₂ → P.last.M} (h₂ : PFunctor.M.dest x = ⟨a₂, f₂⟩) (f' : M.Path P x ⟹ α) : M.dest' P h₁ f' = M.dest' P h₂ f' := by cases h₁.symm.trans h₂; rfl #align mvpfunctor.M.dest'_eq_dest' MvPFunctor.M.dest'_eq_dest' theorem M.dest_eq_dest' {α : TypeVec n} {x : P.last.M} {a : P.A} {f : P.last.B a → P.last.M} (h : PFunctor.M.dest x = ⟨a, f⟩) (f' : M.Path P x ⟹ α) : M.dest P ⟨x, f'⟩ = M.dest' P h f' := M.dest'_eq_dest' _ _ _ _ #align mvpfunctor.M.dest_eq_dest' MvPFunctor.M.dest_eq_dest' theorem M.dest_corec' {α : TypeVec.{u} n} {β : Type u} (g₀ : β → P.A) (g₁ : ∀ b : β, P.drop.B (g₀ b) ⟹ α) (g₂ : ∀ b : β, P.last.B (g₀ b) → β) (x : β) : M.dest P (M.corec' P g₀ g₁ g₂ x) = ⟨g₀ x, splitFun (g₁ x) (M.corec' P g₀ g₁ g₂ ∘ g₂ x)⟩ := rfl #align mvpfunctor.M.dest_corec' MvPFunctor.M.dest_corec' theorem M.dest_corec {α : TypeVec n} {β : Type u} (g : β → P (α.append1 β)) (x : β) : M.dest P (M.corec P g x) = appendFun id (M.corec P g) <$$> g x := by trans · apply M.dest_corec' cases' g x with a f; dsimp rw [MvPFunctor.map_eq]; congr conv_rhs => rw [← split_dropFun_lastFun f, appendFun_comp_splitFun] rfl #align mvpfunctor.M.dest_corec MvPFunctor.M.dest_corec
Mathlib/Data/PFunctor/Multivariate/M.lean
223
233
theorem M.bisim_lemma {α : TypeVec n} {a₁ : (mp P).A} {f₁ : (mp P).B a₁ ⟹ α} {a' : P.A} {f' : (P.B a').drop ⟹ α} {f₁' : (P.B a').last → M P α} (e₁ : M.dest P ⟨a₁, f₁⟩ = ⟨a', splitFun f' f₁'⟩) : ∃ (g₁' : _)(e₁' : PFunctor.M.dest a₁ = ⟨a', g₁'⟩), f' = M.pathDestLeft P e₁' f₁ ∧ f₁' = fun x : (last P).B a' => ⟨g₁' x, M.pathDestRight P e₁' f₁ x⟩ := by
generalize ef : @splitFun n _ (append1 α (M P α)) f' f₁' = ff at e₁ let he₁' := PFunctor.M.dest a₁; rcases e₁' : he₁' with ⟨a₁', g₁'⟩; rw [M.dest_eq_dest' _ e₁'] at e₁ cases e₁; exact ⟨_, e₁', splitFun_inj ef⟩
import Mathlib.Order.Filter.Basic import Mathlib.Topology.Bases import Mathlib.Data.Set.Accumulate import Mathlib.Topology.Bornology.Basic import Mathlib.Topology.LocallyFinite open Set Filter Topology TopologicalSpace Classical Function universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} -- compact sets section Compact lemma IsCompact.exists_clusterPt (hs : IsCompact s) {f : Filter X} [NeBot f] (hf : f ≤ 𝓟 s) : ∃ x ∈ s, ClusterPt x f := hs hf lemma IsCompact.exists_mapClusterPt {ι : Type*} (hs : IsCompact s) {f : Filter ι} [NeBot f] {u : ι → X} (hf : Filter.map u f ≤ 𝓟 s) : ∃ x ∈ s, MapClusterPt x f u := hs hf theorem IsCompact.compl_mem_sets (hs : IsCompact s) {f : Filter X} (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by contrapose! hf simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢ exact @hs _ hf inf_le_right #align is_compact.compl_mem_sets IsCompact.compl_mem_sets theorem IsCompact.compl_mem_sets_of_nhdsWithin (hs : IsCompact s) {f : Filter X} (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx => ?_ rcases hf x hx with ⟨t, ht, hst⟩ replace ht := mem_inf_principal.1 ht apply mem_inf_of_inter ht hst rintro x ⟨h₁, h₂⟩ hs exact h₂ (h₁ hs) #align is_compact.compl_mem_sets_of_nhds_within IsCompact.compl_mem_sets_of_nhdsWithin @[elab_as_elim] theorem IsCompact.induction_on (hs : IsCompact s) {p : Set X → Prop} (he : p ∅) (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hunion : ∀ ⦃s t⦄, p s → p t → p (s ∪ t)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by let f : Filter X := comk p he (fun _t ht _s hsub ↦ hmono hsub ht) (fun _s hs _t ht ↦ hunion hs ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s] #align is_compact.induction_on IsCompact.induction_on
Mathlib/Topology/Compactness/Compact.lean
79
85
theorem IsCompact.inter_right (hs : IsCompact s) (ht : IsClosed t) : IsCompact (s ∩ t) := by
intro f hnf hstf obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs (le_trans hstf (le_principal_iff.2 inter_subset_left)) have : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono <| le_trans hstf (le_principal_iff.2 inter_subset_right) exact ⟨x, ⟨hsx, this⟩, hx⟩
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.Convex.Hull import Mathlib.LinearAlgebra.AffineSpace.Basis #align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set Function open scoped Classical open Pointwise universe u u' variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E] [AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α] [OrderedSMul R α] {s : Set E} def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E := (∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i #align finset.center_mass Finset.centerMass variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E) open Finset theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by simp only [centerMass, sum_empty, smul_zero] #align finset.center_mass_empty Finset.centerMass_empty theorem Finset.centerMass_pair (hne : i ≠ j) : ({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul] #align finset.center_mass_pair Finset.centerMass_pair variable {w} theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) : (insert i t).centerMass w z = (w i / (w i + ∑ j ∈ t, w j)) • z i + ((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul] congr 2 rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div] #align finset.center_mass_insert Finset.centerMass_insert theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul] #align finset.center_mass_singleton Finset.centerMass_singleton @[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by simp [centerMass, inv_neg] lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R] [IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) : t.centerMass (c • w) z = t.centerMass w z := by simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc] theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) : t.centerMass w z = ∑ i ∈ t, w i • z i := by simp only [Finset.centerMass, hw, inv_one, one_smul] #align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1 theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc] #align finset.center_mass_smul Finset.centerMass_smul theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E) (wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass (Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ← Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1] · congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul] · rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab] #align finset.center_mass_segment' Finset.centerMass_segment' theorem Finset.centerMass_segment (s : Finset ι) (w₁ w₂ : ι → R) (z : ι → E) (hw₁ : ∑ i ∈ s, w₁ i = 1) (hw₂ : ∑ i ∈ s, w₂ i = 1) (a b : R) (hab : a + b = 1) : a • s.centerMass w₁ z + b • s.centerMass w₂ z = s.centerMass (fun i => a * w₁ i + b * w₂ i) z := by have hw : (∑ i ∈ s, (a * w₁ i + b * w₂ i)) = 1 := by simp only [← mul_sum, sum_add_distrib, mul_one, *] simp only [Finset.centerMass_eq_of_sum_1, Finset.centerMass_eq_of_sum_1 _ _ hw, smul_sum, sum_add_distrib, add_smul, mul_smul, *] #align finset.center_mass_segment Finset.centerMass_segment theorem Finset.centerMass_ite_eq (hi : i ∈ t) : t.centerMass (fun j => if i = j then (1 : R) else 0) z = z i := by rw [Finset.centerMass_eq_of_sum_1] · trans ∑ j ∈ t, if i = j then z i else 0 · congr with i split_ifs with h exacts [h ▸ one_smul _ _, zero_smul _ _] · rw [sum_ite_eq, if_pos hi] · rw [sum_ite_eq, if_pos hi] #align finset.center_mass_ite_eq Finset.centerMass_ite_eq variable {t} theorem Finset.centerMass_subset {t' : Finset ι} (ht : t ⊆ t') (h : ∀ i ∈ t', i ∉ t → w i = 0) : t.centerMass w z = t'.centerMass w z := by rw [centerMass, sum_subset ht h, smul_sum, centerMass, smul_sum] apply sum_subset ht intro i hit' hit rw [h i hit' hit, zero_smul, smul_zero] #align finset.center_mass_subset Finset.centerMass_subset theorem Finset.centerMass_filter_ne_zero : (t.filter fun i => w i ≠ 0).centerMass w z = t.centerMass w z := Finset.centerMass_subset z (filter_subset _ _) fun i hit hit' => by simpa only [hit, mem_filter, true_and_iff, Ne, Classical.not_not] using hit' #align finset.center_mass_filter_ne_zero Finset.centerMass_filter_ne_zero variable {z} lemma Finset.centerMass_of_sum_add_sum_eq_zero {s t : Finset ι} (hw : ∑ i ∈ s, w i + ∑ i ∈ t, w i = 0) (hz : ∑ i ∈ s, w i • z i + ∑ i ∈ t, w i • z i = 0) : s.centerMass w z = t.centerMass w z := by simp [centerMass, eq_neg_of_add_eq_zero_right hw, eq_neg_of_add_eq_zero_left hz, ← neg_inv] theorem Convex.centerMass_mem (hs : Convex R s) : (∀ i ∈ t, 0 ≤ w i) → (0 < ∑ i ∈ t, w i) → (∀ i ∈ t, z i ∈ s) → t.centerMass w z ∈ s := by induction' t using Finset.induction with i t hi ht · simp [lt_irrefl] intro h₀ hpos hmem have zi : z i ∈ s := hmem _ (mem_insert_self _ _) have hs₀ : ∀ j ∈ t, 0 ≤ w j := fun j hj => h₀ j <| mem_insert_of_mem hj rw [sum_insert hi] at hpos by_cases hsum_t : ∑ j ∈ t, w j = 0 · have ws : ∀ j ∈ t, w j = 0 := (sum_eq_zero_iff_of_nonneg hs₀).1 hsum_t have wz : ∑ j ∈ t, w j • z j = 0 := sum_eq_zero fun i hi => by simp [ws i hi] simp only [centerMass, sum_insert hi, wz, hsum_t, add_zero] simp only [hsum_t, add_zero] at hpos rw [← mul_smul, inv_mul_cancel (ne_of_gt hpos), one_smul] exact zi · rw [Finset.centerMass_insert _ _ _ hi hsum_t] refine convex_iff_div.1 hs zi (ht hs₀ ?_ ?_) ?_ (sum_nonneg hs₀) hpos · exact lt_of_le_of_ne (sum_nonneg hs₀) (Ne.symm hsum_t) · intro j hj exact hmem j (mem_insert_of_mem hj) · exact h₀ _ (mem_insert_self _ _) #align convex.center_mass_mem Convex.centerMass_mem theorem Convex.sum_mem (hs : Convex R s) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : ∑ i ∈ t, w i = 1) (hz : ∀ i ∈ t, z i ∈ s) : (∑ i ∈ t, w i • z i) ∈ s := by simpa only [h₁, centerMass, inv_one, one_smul] using hs.centerMass_mem h₀ (h₁.symm ▸ zero_lt_one) hz #align convex.sum_mem Convex.sum_mem theorem Convex.finsum_mem {ι : Sort*} {w : ι → R} {z : ι → E} {s : Set E} (hs : Convex R s) (h₀ : ∀ i, 0 ≤ w i) (h₁ : ∑ᶠ i, w i = 1) (hz : ∀ i, w i ≠ 0 → z i ∈ s) : (∑ᶠ i, w i • z i) ∈ s := by have hfin_w : (support (w ∘ PLift.down)).Finite := by by_contra H rw [finsum, dif_neg H] at h₁ exact zero_ne_one h₁ have hsub : support ((fun i => w i • z i) ∘ PLift.down) ⊆ hfin_w.toFinset := (support_smul_subset_left _ _).trans hfin_w.coe_toFinset.ge rw [finsum_eq_sum_plift_of_support_subset hsub] refine hs.sum_mem (fun _ _ => h₀ _) ?_ fun i hi => hz _ ?_ · rwa [finsum, dif_pos hfin_w] at h₁ · rwa [hfin_w.mem_toFinset] at hi #align convex.finsum_mem Convex.finsum_mem theorem convex_iff_sum_mem : Convex R s ↔ ∀ (t : Finset E) (w : E → R), (∀ i ∈ t, 0 ≤ w i) → ∑ i ∈ t, w i = 1 → (∀ x ∈ t, x ∈ s) → (∑ x ∈ t, w x • x) ∈ s := by refine ⟨fun hs t w hw₀ hw₁ hts => hs.sum_mem hw₀ hw₁ hts, ?_⟩ intro h x hx y hy a b ha hb hab by_cases h_cases : x = y · rw [h_cases, ← add_smul, hab, one_smul] exact hy · convert h {x, y} (fun z => if z = y then b else a) _ _ _ -- Porting note: Original proof had 2 `simp_intro i hi` · simp only [sum_pair h_cases, if_neg h_cases, if_pos trivial] · intro i _ simp only split_ifs <;> assumption · simp only [sum_pair h_cases, if_neg h_cases, if_pos trivial, hab] · intro i hi simp only [Finset.mem_singleton, Finset.mem_insert] at hi cases hi <;> subst i <;> assumption #align convex_iff_sum_mem convex_iff_sum_mem theorem Finset.centerMass_mem_convexHull (t : Finset ι) {w : ι → R} (hw₀ : ∀ i ∈ t, 0 ≤ w i) (hws : 0 < ∑ i ∈ t, w i) {z : ι → E} (hz : ∀ i ∈ t, z i ∈ s) : t.centerMass w z ∈ convexHull R s := (convex_convexHull R s).centerMass_mem hw₀ hws fun i hi => subset_convexHull R s <| hz i hi #align finset.center_mass_mem_convex_hull Finset.centerMass_mem_convexHull lemma Finset.centerMass_mem_convexHull_of_nonpos (t : Finset ι) (hw₀ : ∀ i ∈ t, w i ≤ 0) (hws : ∑ i ∈ t, w i < 0) (hz : ∀ i ∈ t, z i ∈ s) : t.centerMass w z ∈ convexHull R s := by rw [← centerMass_neg_left] exact Finset.centerMass_mem_convexHull _ (fun _i hi ↦ neg_nonneg.2 <| hw₀ _ hi) (by simpa) hz theorem Finset.centerMass_id_mem_convexHull (t : Finset E) {w : E → R} (hw₀ : ∀ i ∈ t, 0 ≤ w i) (hws : 0 < ∑ i ∈ t, w i) : t.centerMass w id ∈ convexHull R (t : Set E) := t.centerMass_mem_convexHull hw₀ hws fun _ => mem_coe.2 #align finset.center_mass_id_mem_convex_hull Finset.centerMass_id_mem_convexHull lemma Finset.centerMass_id_mem_convexHull_of_nonpos (t : Finset E) {w : E → R} (hw₀ : ∀ i ∈ t, w i ≤ 0) (hws : ∑ i ∈ t, w i < 0) : t.centerMass w id ∈ convexHull R (t : Set E) := t.centerMass_mem_convexHull_of_nonpos hw₀ hws fun _ ↦ mem_coe.2
Mathlib/Analysis/Convex/Combination.lean
260
264
theorem affineCombination_eq_centerMass {ι : Type*} {t : Finset ι} {p : ι → E} {w : ι → R} (hw₂ : ∑ i ∈ t, w i = 1) : t.affineCombination R p w = centerMass t w p := by
rw [affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one _ w _ hw₂ (0 : E), Finset.weightedVSubOfPoint_apply, vadd_eq_add, add_zero, t.centerMass_eq_of_sum_1 _ hw₂] simp_rw [vsub_eq_sub, sub_zero]
import Mathlib.Order.BooleanAlgebra import Mathlib.Logic.Equiv.Basic #align_import order.symm_diff from "leanprover-community/mathlib"@"6eb334bd8f3433d5b08ba156b8ec3e6af47e1904" open Function OrderDual variable {ι α β : Type*} {π : ι → Type*} def symmDiff [Sup α] [SDiff α] (a b : α) : α := a \ b ⊔ b \ a #align symm_diff symmDiff def bihimp [Inf α] [HImp α] (a b : α) : α := (b ⇨ a) ⊓ (a ⇨ b) #align bihimp bihimp scoped[symmDiff] infixl:100 " ∆ " => symmDiff scoped[symmDiff] infixl:100 " ⇔ " => bihimp open scoped symmDiff theorem symmDiff_def [Sup α] [SDiff α] (a b : α) : a ∆ b = a \ b ⊔ b \ a := rfl #align symm_diff_def symmDiff_def theorem bihimp_def [Inf α] [HImp α] (a b : α) : a ⇔ b = (b ⇨ a) ⊓ (a ⇨ b) := rfl #align bihimp_def bihimp_def theorem symmDiff_eq_Xor' (p q : Prop) : p ∆ q = Xor' p q := rfl #align symm_diff_eq_xor symmDiff_eq_Xor' @[simp] theorem bihimp_iff_iff {p q : Prop} : p ⇔ q ↔ (p ↔ q) := (iff_iff_implies_and_implies _ _).symm.trans Iff.comm #align bihimp_iff_iff bihimp_iff_iff @[simp] theorem Bool.symmDiff_eq_xor : ∀ p q : Bool, p ∆ q = xor p q := by decide #align bool.symm_diff_eq_bxor Bool.symmDiff_eq_xor section CoheytingAlgebra variable [CoheytingAlgebra α] (a : α) @[simp] theorem symmDiff_top' : a ∆ ⊤ = ¬a := by simp [symmDiff] #align symm_diff_top' symmDiff_top' @[simp] theorem top_symmDiff' : ⊤ ∆ a = ¬a := by simp [symmDiff] #align top_symm_diff' top_symmDiff' @[simp]
Mathlib/Order/SymmDiff.lean
351
353
theorem hnot_symmDiff_self : (¬a) ∆ a = ⊤ := by
rw [eq_top_iff, symmDiff, hnot_sdiff, sup_sdiff_self] exact Codisjoint.top_le codisjoint_hnot_left
import Mathlib.Analysis.NormedSpace.PiTensorProduct.ProjectiveSeminorm import Mathlib.LinearAlgebra.Isomorphisms universe uι u𝕜 uE uF variable {ι : Type uι} [Fintype ι] variable {𝕜 : Type u𝕜} [NontriviallyNormedField 𝕜] variable {E : ι → Type uE} [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)] variable {F : Type uF} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F] open scoped TensorProduct namespace PiTensorProduct section seminorm variable (F) in @[simps!] noncomputable def toDualContinuousMultilinearMap : (⨂[𝕜] i, E i) →ₗ[𝕜] ContinuousMultilinearMap 𝕜 E F →L[𝕜] F where toFun x := LinearMap.mkContinuous ((LinearMap.flip (lift (R := 𝕜) (s := E) (E := F)).toLinearMap x) ∘ₗ ContinuousMultilinearMap.toMultilinearMapLinear) (projectiveSeminorm x) (fun _ ↦ by simp only [LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.flip_apply, LinearEquiv.coe_coe] exact norm_eval_le_projectiveSeminorm _ _ _) map_add' x y := by ext _ simp only [map_add, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.add_apply, LinearMap.flip_apply, LinearEquiv.coe_coe, ContinuousLinearMap.add_apply] map_smul' a x := by ext _ simp only [map_smul, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply, ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.smul_apply, LinearMap.flip_apply, LinearEquiv.coe_coe, RingHom.id_apply, ContinuousLinearMap.coe_smul', Pi.smul_apply] theorem toDualContinuousMultilinearMap_le_projectiveSeminorm (x : ⨂[𝕜] i, E i) : ‖toDualContinuousMultilinearMap F x‖ ≤ projectiveSeminorm x := by simp only [toDualContinuousMultilinearMap, LinearMap.coe_mk, AddHom.coe_mk] apply LinearMap.mkContinuous_norm_le _ (apply_nonneg _ _) noncomputable irreducible_def injectiveSeminorm : Seminorm 𝕜 (⨂[𝕜] i, E i) := sSup {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} lemma dualSeminorms_bounded : BddAbove {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))} := by existsi projectiveSeminorm rw [mem_upperBounds] simp only [Set.mem_setOf_eq, forall_exists_index] intro p G _ _ hp rw [hp] intro x simp only [Seminorm.comp_apply, coe_normSeminorm] exact toDualContinuousMultilinearMap_le_projectiveSeminorm _ theorem injectiveSeminorm_apply (x : ⨂[𝕜] i, E i) : injectiveSeminorm x = ⨆ p : {p | ∃ (G : Type (max uι u𝕜 uE)) (_ : SeminormedAddCommGroup G) (_ : NormedSpace 𝕜 G), p = Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E))}, p.1 x := by simp [injectiveSeminorm] exact Seminorm.sSup_apply dualSeminorms_bounded theorem norm_eval_le_injectiveSeminorm (f : ContinuousMultilinearMap 𝕜 E F) (x : ⨂[𝕜] i, E i) : ‖lift f.toMultilinearMap x‖ ≤ ‖f‖ * injectiveSeminorm x := by set G := (⨂[𝕜] i, E i) ⧸ LinearMap.ker (lift f.toMultilinearMap) set G' := LinearMap.range (lift f.toMultilinearMap) set e := LinearMap.quotKerEquivRange (lift f.toMultilinearMap) letI := SeminormedAddCommGroup.induced G G' e letI := NormedSpace.induced 𝕜 G G' e set f'₀ := lift.symm (e.symm.toLinearMap ∘ₗ LinearMap.rangeRestrict (lift f.toMultilinearMap)) have hf'₀ : ∀ (x : Π (i : ι), E i), ‖f'₀ x‖ ≤ ‖f‖ * ∏ i, ‖x i‖ := fun x ↦ by change ‖e (f'₀ x)‖ ≤ _ simp only [lift_symm, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, Submodule.coe_norm, LinearMap.codRestrict_apply, lift.tprod, ContinuousMultilinearMap.coe_coe, e, f'₀] exact f.le_opNorm x set f' := MultilinearMap.mkContinuous f'₀ ‖f‖ hf'₀ have hnorm : ‖f'‖ ≤ ‖f‖ := (f'.opNorm_le_iff (norm_nonneg f)).mpr hf'₀ have heq : e (lift f'.toMultilinearMap x) = lift f.toMultilinearMap x := by induction' x using PiTensorProduct.induction_on with a m _ _ hx hy · simp only [lift_symm, map_smul, lift.tprod, ContinuousMultilinearMap.coe_coe, MultilinearMap.coe_mkContinuous, LinearMap.compMultilinearMap_apply, LinearMap.coe_comp, LinearEquiv.coe_coe, Function.comp_apply, LinearEquiv.apply_symm_apply, SetLike.val_smul, LinearMap.codRestrict_apply, f', f'₀] · simp only [map_add, AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, hx, hy] suffices h : ‖lift f'.toMultilinearMap x‖ ≤ ‖f'‖ * injectiveSeminorm x by change ‖(e (lift f'.toMultilinearMap x)).1‖ ≤ _ at h rw [heq] at h exact le_trans h (mul_le_mul_of_nonneg_right hnorm (apply_nonneg _ _)) have hle : Seminorm.comp (normSeminorm 𝕜 (ContinuousMultilinearMap 𝕜 E G →L[𝕜] G)) (toDualContinuousMultilinearMap G (𝕜 := 𝕜) (E := E)) ≤ injectiveSeminorm := by simp only [injectiveSeminorm] refine le_csSup dualSeminorms_bounded ?_ rw [Set.mem_setOf] existsi G, inferInstance, inferInstance rfl refine le_trans ?_ (mul_le_mul_of_nonneg_left (hle x) (norm_nonneg f')) simp only [Seminorm.comp_apply, coe_normSeminorm, ← toDualContinuousMultilinearMap_apply_apply] rw [mul_comm] exact ContinuousLinearMap.le_opNorm _ _ theorem injectiveSeminorm_le_projectiveSeminorm : injectiveSeminorm (𝕜 := 𝕜) (E := E) ≤ projectiveSeminorm := by rw [injectiveSeminorm] refine csSup_le ?_ ?_ · existsi 0 simp only [Set.mem_setOf_eq] existsi PUnit, inferInstance, inferInstance ext x simp only [Seminorm.zero_apply, Seminorm.comp_apply, coe_normSeminorm] have heq : toDualContinuousMultilinearMap PUnit x = 0 := by ext _ rw [heq, norm_zero] · intro p hp simp only [Set.mem_setOf_eq] at hp obtain ⟨G, _, _, h⟩ := hp rw [h]; intro x; simp only [Seminorm.comp_apply, coe_normSeminorm] exact toDualContinuousMultilinearMap_le_projectiveSeminorm _ theorem injectiveSeminorm_tprod_le (m : Π (i : ι), E i) : injectiveSeminorm (⨂ₜ[𝕜] i, m i) ≤ ∏ i, ‖m i‖ := le_trans (injectiveSeminorm_le_projectiveSeminorm _) (projectiveSeminorm_tprod_le m) noncomputable instance : SeminormedAddCommGroup (⨂[𝕜] i, E i) := AddGroupSeminorm.toSeminormedAddCommGroup injectiveSeminorm.toAddGroupSeminorm noncomputable instance : NormedSpace 𝕜 (⨂[𝕜] i, E i) where norm_smul_le a x := by change injectiveSeminorm.toFun (a • x) ≤ _ rw [injectiveSeminorm.smul'] rfl variable (𝕜 E F) @[simps] noncomputable def liftEquiv : ContinuousMultilinearMap 𝕜 E F ≃ₗ[𝕜] (⨂[𝕜] i, E i) →L[𝕜] F where toFun f := LinearMap.mkContinuous (lift f.toMultilinearMap) ‖f‖ (fun x ↦ norm_eval_le_injectiveSeminorm f x) map_add' f g := by ext _; simp only [ContinuousMultilinearMap.toMultilinearMap_add, map_add, LinearMap.mkContinuous_apply, LinearMap.add_apply, ContinuousLinearMap.add_apply] map_smul' a f := by ext _; simp only [ContinuousMultilinearMap.toMultilinearMap_smul, map_smul, LinearMap.mkContinuous_apply, LinearMap.smul_apply, RingHom.id_apply, ContinuousLinearMap.coe_smul', Pi.smul_apply] invFun l := MultilinearMap.mkContinuous (lift.symm l.toLinearMap) ‖l‖ (fun x ↦ by simp only [lift_symm, LinearMap.compMultilinearMap_apply, ContinuousLinearMap.coe_coe] refine le_trans (ContinuousLinearMap.le_opNorm _ _) (mul_le_mul_of_nonneg_left ?_ (norm_nonneg l)) exact injectiveSeminorm_tprod_le x) left_inv f := by ext x; simp only [LinearMap.mkContinuous_coe, LinearEquiv.symm_apply_apply, MultilinearMap.coe_mkContinuous, ContinuousMultilinearMap.coe_coe] right_inv l := by rw [← ContinuousLinearMap.coe_inj] apply PiTensorProduct.ext; ext m simp only [lift_symm, LinearMap.mkContinuous_coe, LinearMap.compMultilinearMap_apply, lift.tprod, ContinuousMultilinearMap.coe_coe, MultilinearMap.coe_mkContinuous, ContinuousLinearMap.coe_coe] noncomputable def liftIsometry : ContinuousMultilinearMap 𝕜 E F ≃ₗᵢ[𝕜] (⨂[𝕜] i, E i) →L[𝕜] F := { liftEquiv 𝕜 E F with norm_map' := by intro f refine le_antisymm ?_ ?_ · simp only [liftEquiv, lift_symm, LinearEquiv.coe_mk] exact LinearMap.mkContinuous_norm_le _ (norm_nonneg f) _ · conv_lhs => rw [← (liftEquiv 𝕜 E F).left_inv f] simp only [liftEquiv, lift_symm, AddHom.toFun_eq_coe, AddHom.coe_mk, LinearEquiv.invFun_eq_symm, LinearEquiv.coe_symm_mk, LinearMap.mkContinuous_coe, LinearEquiv.coe_mk] exact MultilinearMap.mkContinuous_norm_le _ (norm_nonneg _) _ } variable {𝕜 E F} @[simp]
Mathlib/Analysis/NormedSpace/PiTensorProduct/InjectiveSeminorm.lean
283
286
theorem liftIsometry_apply_apply (f : ContinuousMultilinearMap 𝕜 E F) (x : ⨂[𝕜] i, E i) : liftIsometry 𝕜 E F f x = lift f.toMultilinearMap x := by
simp only [liftIsometry, LinearIsometryEquiv.coe_mk, liftEquiv_apply, LinearMap.mkContinuous_apply]
import Mathlib.Topology.Algebra.GroupWithZero import Mathlib.Topology.Order.OrderClosed #align_import topology.algebra.with_zero_topology from "leanprover-community/mathlib"@"3e0c4d76b6ebe9dfafb67d16f7286d2731ed6064" open Topology Filter TopologicalSpace Filter Set Function namespace WithZeroTopology variable {α Γ₀ : Type*} [LinearOrderedCommGroupWithZero Γ₀] {γ γ₁ γ₂ : Γ₀} {l : Filter α} {f : α → Γ₀} scoped instance (priority := 100) topologicalSpace : TopologicalSpace Γ₀ := nhdsAdjoint 0 <| ⨅ γ ≠ 0, 𝓟 (Iio γ) #align with_zero_topology.topological_space WithZeroTopology.topologicalSpace theorem nhds_eq_update : (𝓝 : Γ₀ → Filter Γ₀) = update pure 0 (⨅ γ ≠ 0, 𝓟 (Iio γ)) := by rw [nhds_nhdsAdjoint, sup_of_le_right] exact le_iInf₂ fun γ hγ ↦ le_principal_iff.2 <| zero_lt_iff.2 hγ #align with_zero_topology.nhds_eq_update WithZeroTopology.nhds_eq_update theorem nhds_zero : 𝓝 (0 : Γ₀) = ⨅ γ ≠ 0, 𝓟 (Iio γ) := by rw [nhds_eq_update, update_same] #align with_zero_topology.nhds_zero WithZeroTopology.nhds_zero theorem hasBasis_nhds_zero : (𝓝 (0 : Γ₀)).HasBasis (fun γ : Γ₀ => γ ≠ 0) Iio := by rw [nhds_zero] refine hasBasis_biInf_principal ?_ ⟨1, one_ne_zero⟩ exact directedOn_iff_directed.2 (Monotone.directed_ge fun a b hab => Iio_subset_Iio hab) #align with_zero_topology.has_basis_nhds_zero WithZeroTopology.hasBasis_nhds_zero theorem Iio_mem_nhds_zero (hγ : γ ≠ 0) : Iio γ ∈ 𝓝 (0 : Γ₀) := hasBasis_nhds_zero.mem_of_mem hγ #align with_zero_topology.Iio_mem_nhds_zero WithZeroTopology.Iio_mem_nhds_zero theorem nhds_zero_of_units (γ : Γ₀ˣ) : Iio ↑γ ∈ 𝓝 (0 : Γ₀) := Iio_mem_nhds_zero γ.ne_zero #align with_zero_topology.nhds_zero_of_units WithZeroTopology.nhds_zero_of_units theorem tendsto_zero : Tendsto f l (𝓝 (0 : Γ₀)) ↔ ∀ (γ₀) (_ : γ₀ ≠ 0), ∀ᶠ x in l, f x < γ₀ := by simp [nhds_zero] #align with_zero_topology.tendsto_zero WithZeroTopology.tendsto_zero @[simp] theorem nhds_of_ne_zero {γ : Γ₀} (h₀ : γ ≠ 0) : 𝓝 γ = pure γ := nhds_nhdsAdjoint_of_ne _ h₀ #align with_zero_topology.nhds_of_ne_zero WithZeroTopology.nhds_of_ne_zero theorem nhds_coe_units (γ : Γ₀ˣ) : 𝓝 (γ : Γ₀) = pure (γ : Γ₀) := nhds_of_ne_zero γ.ne_zero #align with_zero_topology.nhds_coe_units WithZeroTopology.nhds_coe_units theorem singleton_mem_nhds_of_units (γ : Γ₀ˣ) : ({↑γ} : Set Γ₀) ∈ 𝓝 (γ : Γ₀) := by simp #align with_zero_topology.singleton_mem_nhds_of_units WithZeroTopology.singleton_mem_nhds_of_units
Mathlib/Topology/Algebra/WithZeroTopology.lean
106
106
theorem singleton_mem_nhds_of_ne_zero (h : γ ≠ 0) : ({γ} : Set Γ₀) ∈ 𝓝 (γ : Γ₀) := by
simp [h]
import Mathlib.Data.Countable.Basic import Mathlib.Data.Fin.VecNotation import Mathlib.Order.Disjointed import Mathlib.MeasureTheory.OuterMeasure.Defs #align_import measure_theory.measure.outer_measure from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55" noncomputable section open Set Function Filter open scoped Classical NNReal Topology ENNReal namespace MeasureTheory section OuterMeasureClass variable {α ι F : Type*} [FunLike F (Set α) ℝ≥0∞] [OuterMeasureClass F α] {μ : F} {s t : Set α} @[simp] theorem measure_empty : μ ∅ = 0 := OuterMeasureClass.measure_empty μ #align measure_theory.measure_empty MeasureTheory.measure_empty @[mono, gcongr] theorem measure_mono (h : s ⊆ t) : μ s ≤ μ t := OuterMeasureClass.measure_mono μ h #align measure_theory.measure_mono MeasureTheory.measure_mono theorem measure_mono_null (h : s ⊆ t) (ht : μ t = 0) : μ s = 0 := eq_bot_mono (measure_mono h) ht #align measure_theory.measure_mono_null MeasureTheory.measure_mono_null theorem measure_pos_of_superset (h : s ⊆ t) (hs : μ s ≠ 0) : 0 < μ t := hs.bot_lt.trans_le (measure_mono h) theorem measure_iUnion_le [Countable ι] (s : ι → Set α) : μ (⋃ i, s i) ≤ ∑' i, μ (s i) := by refine rel_iSup_tsum μ measure_empty (· ≤ ·) (fun t ↦ ?_) _ calc μ (⋃ i, t i) = μ (⋃ i, disjointed t i) := by rw [iUnion_disjointed] _ ≤ ∑' i, μ (disjointed t i) := OuterMeasureClass.measure_iUnion_nat_le _ _ (disjoint_disjointed _) _ ≤ ∑' i, μ (t i) := by gcongr; apply disjointed_subset #align measure_theory.measure_Union_le MeasureTheory.measure_iUnion_le
Mathlib/MeasureTheory/OuterMeasure/Basic.lean
72
76
theorem measure_biUnion_le {I : Set ι} (μ : F) (hI : I.Countable) (s : ι → Set α) : μ (⋃ i ∈ I, s i) ≤ ∑' i : I, μ (s i) := by
have := hI.to_subtype rw [biUnion_eq_iUnion] apply measure_iUnion_le
import Mathlib.Topology.Constructions #align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494" open Set Filter Function Topology Filter variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*} variable [TopologicalSpace α] @[simp] theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a := bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl #align nhds_bind_nhds_within nhds_bind_nhdsWithin @[simp] theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x } #align eventually_nhds_nhds_within eventually_nhds_nhdsWithin theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x := eventually_inf_principal #align eventually_nhds_within_iff eventually_nhdsWithin_iff theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} : (∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s := frequently_inf_principal.trans <| by simp only [and_comm] #align frequently_nhds_within_iff frequently_nhdsWithin_iff theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} : z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff] #align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within @[simp] theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} : (∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩ simp only [eventually_nhdsWithin_iff] at h ⊢ exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs #align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin theorem nhdsWithin_eq (a : α) (s : Set α) : 𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) := ((nhds_basis_opens a).inf_principal s).eq_biInf #align nhds_within_eq nhdsWithin_eq theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by rw [nhdsWithin, principal_univ, inf_top_eq] #align nhds_within_univ nhdsWithin_univ theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s) (t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t := h.inf_principal t #align nhds_within_has_basis nhdsWithin_hasBasis theorem nhdsWithin_basis_open (a : α) (t : Set α) : (𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t := nhdsWithin_hasBasis (nhds_basis_opens a) t #align nhds_within_basis_open nhdsWithin_basis_open theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff #align mem_nhds_within mem_nhdsWithin theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} : t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t := (nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff #align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) : s \ t ∈ 𝓝[tᶜ] x := diff_mem_inf_principal_compl hs t #align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) : s \ t' ∈ 𝓝[t \ t'] x := by rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc] exact inter_mem_inf hs (mem_principal_self _) #align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) : t ∈ 𝓝 a := by rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩ exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw #align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t := eventually_inf_principal #align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} : t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and] #align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t := set_eventuallyEq_iff_inf_principal.symm #align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x := set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal #align nhds_within_le_iff nhdsWithin_le_iff -- Porting note: golfed, dropped an unneeded assumption theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝[t] a := by lift a to t using h replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs rwa [← map_nhds_subtype_val, mem_map] #align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a := mem_inf_of_left h #align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a := mem_inf_of_right (mem_principal_self s) #align self_mem_nhds_within self_mem_nhdsWithin theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s := self_mem_nhdsWithin #align eventually_mem_nhds_within eventually_mem_nhdsWithin theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a := inter_mem self_mem_nhdsWithin (mem_inf_of_left h) #align inter_mem_nhds_within inter_mem_nhdsWithin theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a := inf_le_inf_left _ (principal_mono.mpr h) #align nhds_within_mono nhdsWithin_mono theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a := le_inf (pure_le_nhds a) (le_principal_iff.2 ha) #align pure_le_nhds_within pure_le_nhdsWithin theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t := pure_le_nhdsWithin ha ht #align mem_of_mem_nhds_within mem_of_mem_nhdsWithin theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α} (h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x := mem_of_mem_nhdsWithin hx h #align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) : Tendsto (fun _ : β => a) l (𝓝[s] a) := tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha #align tendsto_const_nhds_within tendsto_const_nhdsWithin theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s] a = 𝓝[s ∩ t] a := le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h))) (inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left)) #align nhds_within_restrict'' nhdsWithin_restrict'' theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict'' s <| mem_inf_of_left h #align nhds_within_restrict' nhdsWithin_restrict' theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) : 𝓝[s] a = 𝓝[s ∩ t] a := nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀) #align nhds_within_restrict nhdsWithin_restrict theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a := nhdsWithin_le_iff.mpr h #align nhds_within_le_of_mem nhdsWithin_le_of_mem theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by rw [← nhdsWithin_univ] apply nhdsWithin_le_of_mem exact univ_mem #align nhds_within_le_nhds nhdsWithin_le_nhds theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂] #align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin' theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s) (h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂] #align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin @[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a := inf_eq_left.trans le_principal_iff #align nhds_within_eq_nhds nhdsWithin_eq_nhds theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a := nhdsWithin_eq_nhds.2 <| h.mem_nhds ha #align is_open.nhds_within_eq IsOpen.nhdsWithin_eq theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t) (ht : IsOpen t) (hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) : π ⁻¹' s ∈ 𝓝 a := by rw [← ht.nhdsWithin_eq h] exact preimage_nhdsWithin_coinduced' h hs #align preimage_nhds_within_coinduced preimage_nhds_within_coinduced @[simp] theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq] #align nhds_within_empty nhdsWithin_empty theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by delta nhdsWithin rw [← inf_sup_left, sup_principal] #align nhds_within_union nhdsWithin_union theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) : 𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a := Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert] #align nhds_within_bUnion nhdsWithin_biUnion theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) : 𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS] #align nhds_within_sUnion nhdsWithin_sUnion theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) : 𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range] #align nhds_within_Union nhdsWithin_iUnion theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by delta nhdsWithin rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem] #align nhds_within_inter nhdsWithin_inter theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by delta nhdsWithin rw [← inf_principal, inf_assoc] #align nhds_within_inter' nhdsWithin_inter' theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by rw [nhdsWithin_inter, inf_eq_right] exact nhdsWithin_le_of_mem h #align nhds_within_inter_of_mem nhdsWithin_inter_of_mem theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by rw [inter_comm, nhdsWithin_inter_of_mem h] #align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem' @[simp] theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)] #align nhds_within_singleton nhdsWithin_singleton @[simp] theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton] #align nhds_within_insert nhdsWithin_insert theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by simp #align mem_nhds_within_insert mem_nhdsWithin_insert theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : insert a t ∈ 𝓝[insert a s] a := by simp [mem_of_superset h] #align insert_mem_nhds_within_insert insert_mem_nhdsWithin_insert theorem insert_mem_nhds_iff {a : α} {s : Set α} : insert a s ∈ 𝓝 a ↔ s ∈ 𝓝[≠] a := by simp only [nhdsWithin, mem_inf_principal, mem_compl_iff, mem_singleton_iff, or_iff_not_imp_left, insert_def] #align insert_mem_nhds_iff insert_mem_nhds_iff @[simp] theorem nhdsWithin_compl_singleton_sup_pure (a : α) : 𝓝[≠] a ⊔ pure a = 𝓝 a := by rw [← nhdsWithin_singleton, ← nhdsWithin_union, compl_union_self, nhdsWithin_univ] #align nhds_within_compl_singleton_sup_pure nhdsWithin_compl_singleton_sup_pure theorem nhdsWithin_prod {α : Type*} [TopologicalSpace α] {β : Type*} [TopologicalSpace β] {s u : Set α} {t v : Set β} {a : α} {b : β} (hu : u ∈ 𝓝[s] a) (hv : v ∈ 𝓝[t] b) : u ×ˢ v ∈ 𝓝[s ×ˢ t] (a, b) := by rw [nhdsWithin_prod_eq] exact prod_mem_prod hu hv #align nhds_within_prod nhdsWithin_prod theorem nhdsWithin_pi_eq' {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} (hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi I s] x = ⨅ i, comap (fun x => x i) (𝓝 (x i) ⊓ ⨅ (_ : i ∈ I), 𝓟 (s i)) := by simp only [nhdsWithin, nhds_pi, Filter.pi, comap_inf, comap_iInf, pi_def, comap_principal, ← iInf_principal_finite hI, ← iInf_inf_eq] #align nhds_within_pi_eq' nhdsWithin_pi_eq' theorem nhdsWithin_pi_eq {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} (hI : I.Finite) (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi I s] x = (⨅ i ∈ I, comap (fun x => x i) (𝓝[s i] x i)) ⊓ ⨅ (i) (_ : i ∉ I), comap (fun x => x i) (𝓝 (x i)) := by simp only [nhdsWithin, nhds_pi, Filter.pi, pi_def, ← iInf_principal_finite hI, comap_inf, comap_principal, eval] rw [iInf_split _ fun i => i ∈ I, inf_right_comm] simp only [iInf_inf_eq] #align nhds_within_pi_eq nhdsWithin_pi_eq theorem nhdsWithin_pi_univ_eq {ι : Type*} {α : ι → Type*} [Finite ι] [∀ i, TopologicalSpace (α i)] (s : ∀ i, Set (α i)) (x : ∀ i, α i) : 𝓝[pi univ s] x = ⨅ i, comap (fun x => x i) (𝓝[s i] x i) := by simpa [nhdsWithin] using nhdsWithin_pi_eq finite_univ s x #align nhds_within_pi_univ_eq nhdsWithin_pi_univ_eq theorem nhdsWithin_pi_eq_bot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : 𝓝[pi I s] x = ⊥ ↔ ∃ i ∈ I, 𝓝[s i] x i = ⊥ := by simp only [nhdsWithin, nhds_pi, pi_inf_principal_pi_eq_bot] #align nhds_within_pi_eq_bot nhdsWithin_pi_eq_bot theorem nhdsWithin_pi_neBot {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : (𝓝[pi I s] x).NeBot ↔ ∀ i ∈ I, (𝓝[s i] x i).NeBot := by simp [neBot_iff, nhdsWithin_pi_eq_bot] #align nhds_within_pi_ne_bot nhdsWithin_pi_neBot theorem Filter.Tendsto.piecewise_nhdsWithin {f g : α → β} {t : Set α} [∀ x, Decidable (x ∈ t)] {a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ t] a) l) (h₁ : Tendsto g (𝓝[s ∩ tᶜ] a) l) : Tendsto (piecewise t f g) (𝓝[s] a) l := by apply Tendsto.piecewise <;> rwa [← nhdsWithin_inter'] #align filter.tendsto.piecewise_nhds_within Filter.Tendsto.piecewise_nhdsWithin theorem Filter.Tendsto.if_nhdsWithin {f g : α → β} {p : α → Prop} [DecidablePred p] {a : α} {s : Set α} {l : Filter β} (h₀ : Tendsto f (𝓝[s ∩ { x | p x }] a) l) (h₁ : Tendsto g (𝓝[s ∩ { x | ¬p x }] a) l) : Tendsto (fun x => if p x then f x else g x) (𝓝[s] a) l := h₀.piecewise_nhdsWithin h₁ #align filter.tendsto.if_nhds_within Filter.Tendsto.if_nhdsWithin theorem map_nhdsWithin (f : α → β) (a : α) (s : Set α) : map f (𝓝[s] a) = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (f '' (t ∩ s)) := ((nhdsWithin_basis_open a s).map f).eq_biInf #align map_nhds_within map_nhdsWithin theorem tendsto_nhdsWithin_mono_left {f : α → β} {a : α} {s t : Set α} {l : Filter β} (hst : s ⊆ t) (h : Tendsto f (𝓝[t] a) l) : Tendsto f (𝓝[s] a) l := h.mono_left <| nhdsWithin_mono a hst #align tendsto_nhds_within_mono_left tendsto_nhdsWithin_mono_left theorem tendsto_nhdsWithin_mono_right {f : β → α} {l : Filter β} {a : α} {s t : Set α} (hst : s ⊆ t) (h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝[t] a) := h.mono_right (nhdsWithin_mono a hst) #align tendsto_nhds_within_mono_right tendsto_nhdsWithin_mono_right theorem tendsto_nhdsWithin_of_tendsto_nhds {f : α → β} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f (𝓝 a) l) : Tendsto f (𝓝[s] a) l := h.mono_left inf_le_left #align tendsto_nhds_within_of_tendsto_nhds tendsto_nhdsWithin_of_tendsto_nhds theorem eventually_mem_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f l (𝓝[s] a)) : ∀ᶠ i in l, f i ∈ s := by simp_rw [nhdsWithin_eq, tendsto_iInf, mem_setOf_eq, tendsto_principal, mem_inter_iff, eventually_and] at h exact (h univ ⟨mem_univ a, isOpen_univ⟩).2 #align eventually_mem_of_tendsto_nhds_within eventually_mem_of_tendsto_nhdsWithin theorem tendsto_nhds_of_tendsto_nhdsWithin {f : β → α} {a : α} {s : Set α} {l : Filter β} (h : Tendsto f l (𝓝[s] a)) : Tendsto f l (𝓝 a) := h.mono_right nhdsWithin_le_nhds #align tendsto_nhds_of_tendsto_nhds_within tendsto_nhds_of_tendsto_nhdsWithin theorem nhdsWithin_neBot_of_mem {s : Set α} {x : α} (hx : x ∈ s) : NeBot (𝓝[s] x) := mem_closure_iff_nhdsWithin_neBot.1 <| subset_closure hx #align nhds_within_ne_bot_of_mem nhdsWithin_neBot_of_mem theorem IsClosed.mem_of_nhdsWithin_neBot {s : Set α} (hs : IsClosed s) {x : α} (hx : NeBot <| 𝓝[s] x) : x ∈ s := hs.closure_eq ▸ mem_closure_iff_nhdsWithin_neBot.2 hx #align is_closed.mem_of_nhds_within_ne_bot IsClosed.mem_of_nhdsWithin_neBot theorem DenseRange.nhdsWithin_neBot {ι : Type*} {f : ι → α} (h : DenseRange f) (x : α) : NeBot (𝓝[range f] x) := mem_closure_iff_clusterPt.1 (h x) #align dense_range.nhds_within_ne_bot DenseRange.nhdsWithin_neBot theorem mem_closure_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {I : Set ι} {s : ∀ i, Set (α i)} {x : ∀ i, α i} : x ∈ closure (pi I s) ↔ ∀ i ∈ I, x i ∈ closure (s i) := by simp only [mem_closure_iff_nhdsWithin_neBot, nhdsWithin_pi_neBot] #align mem_closure_pi mem_closure_pi theorem closure_pi_set {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] (I : Set ι) (s : ∀ i, Set (α i)) : closure (pi I s) = pi I fun i => closure (s i) := Set.ext fun _ => mem_closure_pi #align closure_pi_set closure_pi_set theorem dense_pi {ι : Type*} {α : ι → Type*} [∀ i, TopologicalSpace (α i)] {s : ∀ i, Set (α i)} (I : Set ι) (hs : ∀ i ∈ I, Dense (s i)) : Dense (pi I s) := by simp only [dense_iff_closure_eq, closure_pi_set, pi_congr rfl fun i hi => (hs i hi).closure_eq, pi_univ] #align dense_pi dense_pi theorem eventuallyEq_nhdsWithin_iff {f g : α → β} {s : Set α} {a : α} : f =ᶠ[𝓝[s] a] g ↔ ∀ᶠ x in 𝓝 a, x ∈ s → f x = g x := mem_inf_principal #align eventually_eq_nhds_within_iff eventuallyEq_nhdsWithin_iff theorem eventuallyEq_nhdsWithin_of_eqOn {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) : f =ᶠ[𝓝[s] a] g := mem_inf_of_right h #align eventually_eq_nhds_within_of_eq_on eventuallyEq_nhdsWithin_of_eqOn theorem Set.EqOn.eventuallyEq_nhdsWithin {f g : α → β} {s : Set α} {a : α} (h : EqOn f g s) : f =ᶠ[𝓝[s] a] g := eventuallyEq_nhdsWithin_of_eqOn h #align set.eq_on.eventually_eq_nhds_within Set.EqOn.eventuallyEq_nhdsWithin theorem tendsto_nhdsWithin_congr {f g : α → β} {s : Set α} {a : α} {l : Filter β} (hfg : ∀ x ∈ s, f x = g x) (hf : Tendsto f (𝓝[s] a) l) : Tendsto g (𝓝[s] a) l := (tendsto_congr' <| eventuallyEq_nhdsWithin_of_eqOn hfg).1 hf #align tendsto_nhds_within_congr tendsto_nhdsWithin_congr theorem eventually_nhdsWithin_of_forall {s : Set α} {a : α} {p : α → Prop} (h : ∀ x ∈ s, p x) : ∀ᶠ x in 𝓝[s] a, p x := mem_inf_of_right h #align eventually_nhds_within_of_forall eventually_nhdsWithin_of_forall theorem tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within {a : α} {l : Filter β} {s : Set α} (f : β → α) (h1 : Tendsto f l (𝓝 a)) (h2 : ∀ᶠ x in l, f x ∈ s) : Tendsto f l (𝓝[s] a) := tendsto_inf.2 ⟨h1, tendsto_principal.2 h2⟩ #align tendsto_nhds_within_of_tendsto_nhds_of_eventually_within tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within theorem tendsto_nhdsWithin_iff {a : α} {l : Filter β} {s : Set α} {f : β → α} : Tendsto f l (𝓝[s] a) ↔ Tendsto f l (𝓝 a) ∧ ∀ᶠ n in l, f n ∈ s := ⟨fun h => ⟨tendsto_nhds_of_tendsto_nhdsWithin h, eventually_mem_of_tendsto_nhdsWithin h⟩, fun h => tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within _ h.1 h.2⟩ #align tendsto_nhds_within_iff tendsto_nhdsWithin_iff @[simp] theorem tendsto_nhdsWithin_range {a : α} {l : Filter β} {f : β → α} : Tendsto f l (𝓝[range f] a) ↔ Tendsto f l (𝓝 a) := ⟨fun h => h.mono_right inf_le_left, fun h => tendsto_inf.2 ⟨h, tendsto_principal.2 <| eventually_of_forall mem_range_self⟩⟩ #align tendsto_nhds_within_range tendsto_nhdsWithin_range theorem Filter.EventuallyEq.eq_of_nhdsWithin {s : Set α} {f g : α → β} {a : α} (h : f =ᶠ[𝓝[s] a] g) (hmem : a ∈ s) : f a = g a := h.self_of_nhdsWithin hmem #align filter.eventually_eq.eq_of_nhds_within Filter.EventuallyEq.eq_of_nhdsWithin theorem eventually_nhdsWithin_of_eventually_nhds {α : Type*} [TopologicalSpace α] {s : Set α} {a : α} {p : α → Prop} (h : ∀ᶠ x in 𝓝 a, p x) : ∀ᶠ x in 𝓝[s] a, p x := mem_nhdsWithin_of_mem_nhds h #align eventually_nhds_within_of_eventually_nhds eventually_nhdsWithin_of_eventually_nhds theorem mem_nhdsWithin_subtype {s : Set α} {a : { x // x ∈ s }} {t u : Set { x // x ∈ s }} : t ∈ 𝓝[u] a ↔ t ∈ comap ((↑) : s → α) (𝓝[(↑) '' u] a) := by rw [nhdsWithin, nhds_subtype, principal_subtype, ← comap_inf, ← nhdsWithin] #align mem_nhds_within_subtype mem_nhdsWithin_subtype theorem nhdsWithin_subtype (s : Set α) (a : { x // x ∈ s }) (t : Set { x // x ∈ s }) : 𝓝[t] a = comap ((↑) : s → α) (𝓝[(↑) '' t] a) := Filter.ext fun _ => mem_nhdsWithin_subtype #align nhds_within_subtype nhdsWithin_subtype theorem nhdsWithin_eq_map_subtype_coe {s : Set α} {a : α} (h : a ∈ s) : 𝓝[s] a = map ((↑) : s → α) (𝓝 ⟨a, h⟩) := (map_nhds_subtype_val ⟨a, h⟩).symm #align nhds_within_eq_map_subtype_coe nhdsWithin_eq_map_subtype_coe theorem mem_nhds_subtype_iff_nhdsWithin {s : Set α} {a : s} {t : Set s} : t ∈ 𝓝 a ↔ (↑) '' t ∈ 𝓝[s] (a : α) := by rw [← map_nhds_subtype_val, image_mem_map_iff Subtype.val_injective] #align mem_nhds_subtype_iff_nhds_within mem_nhds_subtype_iff_nhdsWithin theorem preimage_coe_mem_nhds_subtype {s t : Set α} {a : s} : (↑) ⁻¹' t ∈ 𝓝 a ↔ t ∈ 𝓝[s] ↑a := by rw [← map_nhds_subtype_val, mem_map] #align preimage_coe_mem_nhds_subtype preimage_coe_mem_nhds_subtype theorem eventually_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) : (∀ᶠ x : s in 𝓝 a, P x) ↔ ∀ᶠ x in 𝓝[s] a, P x := preimage_coe_mem_nhds_subtype theorem frequently_nhds_subtype_iff (s : Set α) (a : s) (P : α → Prop) : (∃ᶠ x : s in 𝓝 a, P x) ↔ ∃ᶠ x in 𝓝[s] a, P x := eventually_nhds_subtype_iff s a (¬ P ·) |>.not theorem tendsto_nhdsWithin_iff_subtype {s : Set α} {a : α} (h : a ∈ s) (f : α → β) (l : Filter β) : Tendsto f (𝓝[s] a) l ↔ Tendsto (s.restrict f) (𝓝 ⟨a, h⟩) l := by rw [nhdsWithin_eq_map_subtype_coe h, tendsto_map'_iff]; rfl #align tendsto_nhds_within_iff_subtype tendsto_nhdsWithin_iff_subtype variable [TopologicalSpace β] [TopologicalSpace γ] [TopologicalSpace δ] theorem ContinuousWithinAt.tendsto {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝 (f x)) := h #align continuous_within_at.tendsto ContinuousWithinAt.tendsto theorem ContinuousOn.continuousWithinAt {f : α → β} {s : Set α} {x : α} (hf : ContinuousOn f s) (hx : x ∈ s) : ContinuousWithinAt f s x := hf x hx #align continuous_on.continuous_within_at ContinuousOn.continuousWithinAt theorem continuousWithinAt_univ (f : α → β) (x : α) : ContinuousWithinAt f Set.univ x ↔ ContinuousAt f x := by rw [ContinuousAt, ContinuousWithinAt, nhdsWithin_univ] #align continuous_within_at_univ continuousWithinAt_univ theorem continuous_iff_continuousOn_univ {f : α → β} : Continuous f ↔ ContinuousOn f univ := by simp [continuous_iff_continuousAt, ContinuousOn, ContinuousAt, ContinuousWithinAt, nhdsWithin_univ] #align continuous_iff_continuous_on_univ continuous_iff_continuousOn_univ theorem continuousWithinAt_iff_continuousAt_restrict (f : α → β) {x : α} {s : Set α} (h : x ∈ s) : ContinuousWithinAt f s x ↔ ContinuousAt (s.restrict f) ⟨x, h⟩ := tendsto_nhdsWithin_iff_subtype h f _ #align continuous_within_at_iff_continuous_at_restrict continuousWithinAt_iff_continuousAt_restrict theorem ContinuousWithinAt.tendsto_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β} (h : ContinuousWithinAt f s x) (ht : MapsTo f s t) : Tendsto f (𝓝[s] x) (𝓝[t] f x) := tendsto_inf.2 ⟨h, tendsto_principal.2 <| mem_inf_of_right <| mem_principal.2 <| ht⟩ #align continuous_within_at.tendsto_nhds_within ContinuousWithinAt.tendsto_nhdsWithin theorem ContinuousWithinAt.tendsto_nhdsWithin_image {f : α → β} {x : α} {s : Set α} (h : ContinuousWithinAt f s x) : Tendsto f (𝓝[s] x) (𝓝[f '' s] f x) := h.tendsto_nhdsWithin (mapsTo_image _ _) #align continuous_within_at.tendsto_nhds_within_image ContinuousWithinAt.tendsto_nhdsWithin_image theorem ContinuousWithinAt.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} {x : α} {y : β} (hf : ContinuousWithinAt f s x) (hg : ContinuousWithinAt g t y) : ContinuousWithinAt (Prod.map f g) (s ×ˢ t) (x, y) := by unfold ContinuousWithinAt at * rw [nhdsWithin_prod_eq, Prod.map, nhds_prod_eq] exact hf.prod_map hg #align continuous_within_at.prod_map ContinuousWithinAt.prod_map theorem continuousWithinAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} {x : α × β} : ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨x.1, ·⟩) {b | (x.1, b) ∈ s} x.2 := by rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, pure_prod, ← map_inf_principal_preimage]; rfl theorem continuousWithinAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} {x : α × β} : ContinuousWithinAt f s x ↔ ContinuousWithinAt (f ⟨·, x.2⟩) {a | (a, x.2) ∈ s} x.1 := by rw [← x.eta]; simp_rw [ContinuousWithinAt, nhdsWithin, nhds_prod_eq, nhds_discrete, prod_pure, ← map_inf_principal_preimage]; rfl theorem continuousAt_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {x : α × β} : ContinuousAt f x ↔ ContinuousAt (f ⟨x.1, ·⟩) x.2 := by simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_left theorem continuousAt_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {x : α × β} : ContinuousAt f x ↔ ContinuousAt (f ⟨·, x.2⟩) x.1 := by simp_rw [← continuousWithinAt_univ]; exact continuousWithinAt_prod_of_discrete_right theorem continuousOn_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} {s : Set (α × β)} : ContinuousOn f s ↔ ∀ a, ContinuousOn (f ⟨a, ·⟩) {b | (a, b) ∈ s} := by simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_left]; rfl theorem continuousOn_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} {s : Set (α × β)} : ContinuousOn f s ↔ ∀ b, ContinuousOn (f ⟨·, b⟩) {a | (a, b) ∈ s} := by simp_rw [ContinuousOn, Prod.forall, continuousWithinAt_prod_of_discrete_right]; apply forall_swap theorem continuous_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} : Continuous f ↔ ∀ a, Continuous (f ⟨a, ·⟩) := by simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_left theorem continuous_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} : Continuous f ↔ ∀ b, Continuous (f ⟨·, b⟩) := by simp_rw [continuous_iff_continuousOn_univ]; exact continuousOn_prod_of_discrete_right theorem isOpenMap_prod_of_discrete_left [DiscreteTopology α] {f : α × β → γ} : IsOpenMap f ↔ ∀ a, IsOpenMap (f ⟨a, ·⟩) := by simp_rw [isOpenMap_iff_nhds_le, Prod.forall, nhds_prod_eq, nhds_discrete, pure_prod, map_map] rfl theorem isOpenMap_prod_of_discrete_right [DiscreteTopology β] {f : α × β → γ} : IsOpenMap f ↔ ∀ b, IsOpenMap (f ⟨·, b⟩) := by simp_rw [isOpenMap_iff_nhds_le, Prod.forall, forall_swap (α := α) (β := β), nhds_prod_eq, nhds_discrete, prod_pure, map_map]; rfl theorem continuousWithinAt_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} {x : α} : ContinuousWithinAt f s x ↔ ∀ i, ContinuousWithinAt (fun y => f y i) s x := tendsto_pi_nhds #align continuous_within_at_pi continuousWithinAt_pi theorem continuousOn_pi {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} : ContinuousOn f s ↔ ∀ i, ContinuousOn (fun y => f y i) s := ⟨fun h i x hx => tendsto_pi_nhds.1 (h x hx) i, fun h x hx => tendsto_pi_nhds.2 fun i => h i x hx⟩ #align continuous_on_pi continuousOn_pi @[fun_prop] theorem continuousOn_pi' {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] {f : α → ∀ i, π i} {s : Set α} (hf : ∀ i, ContinuousOn (fun y => f y i) s) : ContinuousOn f s := continuousOn_pi.2 hf theorem ContinuousWithinAt.fin_insertNth {n} {π : Fin (n + 1) → Type*} [∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {a : α} {s : Set α} (hf : ContinuousWithinAt f s a) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousWithinAt g s a) : ContinuousWithinAt (fun a => i.insertNth (f a) (g a)) s a := hf.tendsto.fin_insertNth i hg #align continuous_within_at.fin_insert_nth ContinuousWithinAt.fin_insertNth nonrec theorem ContinuousOn.fin_insertNth {n} {π : Fin (n + 1) → Type*} [∀ i, TopologicalSpace (π i)] (i : Fin (n + 1)) {f : α → π i} {s : Set α} (hf : ContinuousOn f s) {g : α → ∀ j : Fin n, π (i.succAbove j)} (hg : ContinuousOn g s) : ContinuousOn (fun a => i.insertNth (f a) (g a)) s := fun a ha => (hf a ha).fin_insertNth i (hg a ha) #align continuous_on.fin_insert_nth ContinuousOn.fin_insertNth theorem continuousOn_iff {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ x ∈ s, ∀ t : Set β, IsOpen t → f x ∈ t → ∃ u, IsOpen u ∧ x ∈ u ∧ u ∩ s ⊆ f ⁻¹' t := by simp only [ContinuousOn, ContinuousWithinAt, tendsto_nhds, mem_nhdsWithin] #align continuous_on_iff continuousOn_iff theorem continuousOn_iff_continuous_restrict {f : α → β} {s : Set α} : ContinuousOn f s ↔ Continuous (s.restrict f) := by rw [ContinuousOn, continuous_iff_continuousAt]; constructor · rintro h ⟨x, xs⟩ exact (continuousWithinAt_iff_continuousAt_restrict f xs).mp (h x xs) intro h x xs exact (continuousWithinAt_iff_continuousAt_restrict f xs).mpr (h ⟨x, xs⟩) #align continuous_on_iff_continuous_restrict continuousOn_iff_continuous_restrict -- Porting note: 2 new lemmas alias ⟨ContinuousOn.restrict, _⟩ := continuousOn_iff_continuous_restrict theorem ContinuousOn.restrict_mapsTo {f : α → β} {s : Set α} {t : Set β} (hf : ContinuousOn f s) (ht : MapsTo f s t) : Continuous (ht.restrict f s t) := hf.restrict.codRestrict _ theorem continuousOn_iff' {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ t : Set β, IsOpen t → ∃ u, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by have : ∀ t, IsOpen (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := by intro t rw [isOpen_induced_iff, Set.restrict_eq, Set.preimage_comp] simp only [Subtype.preimage_coe_eq_preimage_coe_iff] constructor <;> · rintro ⟨u, ou, useq⟩ exact ⟨u, ou, by simpa only [Set.inter_comm, eq_comm] using useq⟩ rw [continuousOn_iff_continuous_restrict, continuous_def]; simp only [this] #align continuous_on_iff' continuousOn_iff' theorem ContinuousOn.mono_dom {α β : Type*} {t₁ t₂ : TopologicalSpace α} {t₃ : TopologicalSpace β} (h₁ : t₂ ≤ t₁) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₃ f s) : @ContinuousOn α β t₂ t₃ f s := fun x hx _u hu => map_mono (inf_le_inf_right _ <| nhds_mono h₁) (h₂ x hx hu) #align continuous_on.mono_dom ContinuousOn.mono_dom theorem ContinuousOn.mono_rng {α β : Type*} {t₁ : TopologicalSpace α} {t₂ t₃ : TopologicalSpace β} (h₁ : t₂ ≤ t₃) {s : Set α} {f : α → β} (h₂ : @ContinuousOn α β t₁ t₂ f s) : @ContinuousOn α β t₁ t₃ f s := fun x hx _u hu => h₂ x hx <| nhds_mono h₁ hu #align continuous_on.mono_rng ContinuousOn.mono_rng theorem continuousOn_iff_isClosed {f : α → β} {s : Set α} : ContinuousOn f s ↔ ∀ t : Set β, IsClosed t → ∃ u, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by have : ∀ t, IsClosed (s.restrict f ⁻¹' t) ↔ ∃ u : Set α, IsClosed u ∧ f ⁻¹' t ∩ s = u ∩ s := by intro t rw [isClosed_induced_iff, Set.restrict_eq, Set.preimage_comp] simp only [Subtype.preimage_coe_eq_preimage_coe_iff, eq_comm, Set.inter_comm s] rw [continuousOn_iff_continuous_restrict, continuous_iff_isClosed]; simp only [this] #align continuous_on_iff_is_closed continuousOn_iff_isClosed theorem ContinuousOn.prod_map {f : α → γ} {g : β → δ} {s : Set α} {t : Set β} (hf : ContinuousOn f s) (hg : ContinuousOn g t) : ContinuousOn (Prod.map f g) (s ×ˢ t) := fun ⟨x, y⟩ ⟨hx, hy⟩ => ContinuousWithinAt.prod_map (hf x hx) (hg y hy) #align continuous_on.prod_map ContinuousOn.prod_map theorem continuous_of_cover_nhds {ι : Sort*} {f : α → β} {s : ι → Set α} (hs : ∀ x : α, ∃ i, s i ∈ 𝓝 x) (hf : ∀ i, ContinuousOn f (s i)) : Continuous f := continuous_iff_continuousAt.mpr fun x ↦ let ⟨i, hi⟩ := hs x; by rw [ContinuousAt, ← nhdsWithin_eq_nhds.2 hi] exact hf _ _ (mem_of_mem_nhds hi) #align continuous_of_cover_nhds continuous_of_cover_nhds theorem continuousOn_empty (f : α → β) : ContinuousOn f ∅ := fun _ => False.elim #align continuous_on_empty continuousOn_empty @[simp] theorem continuousOn_singleton (f : α → β) (a : α) : ContinuousOn f {a} := forall_eq.2 <| by simpa only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_left] using fun s => mem_of_mem_nhds #align continuous_on_singleton continuousOn_singleton theorem Set.Subsingleton.continuousOn {s : Set α} (hs : s.Subsingleton) (f : α → β) : ContinuousOn f s := hs.induction_on (continuousOn_empty f) (continuousOn_singleton f) #align set.subsingleton.continuous_on Set.Subsingleton.continuousOn theorem nhdsWithin_le_comap {x : α} {s : Set α} {f : α → β} (ctsf : ContinuousWithinAt f s x) : 𝓝[s] x ≤ comap f (𝓝[f '' s] f x) := ctsf.tendsto_nhdsWithin_image.le_comap #align nhds_within_le_comap nhdsWithin_le_comap @[simp] theorem comap_nhdsWithin_range {α} (f : α → β) (y : β) : comap f (𝓝[range f] y) = comap f (𝓝 y) := comap_inf_principal_range #align comap_nhds_within_range comap_nhdsWithin_range theorem ContinuousWithinAt.mono {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x) (hs : s ⊆ t) : ContinuousWithinAt f s x := h.mono_left (nhdsWithin_mono x hs) #align continuous_within_at.mono ContinuousWithinAt.mono theorem ContinuousWithinAt.mono_of_mem {f : α → β} {s t : Set α} {x : α} (h : ContinuousWithinAt f t x) (hs : t ∈ 𝓝[s] x) : ContinuousWithinAt f s x := h.mono_left (nhdsWithin_le_of_mem hs) #align continuous_within_at.mono_of_mem ContinuousWithinAt.mono_of_mem theorem continuousWithinAt_congr_nhds {f : α → β} {s t : Set α} {x : α} (h : 𝓝[s] x = 𝓝[t] x) : ContinuousWithinAt f s x ↔ ContinuousWithinAt f t x := by simp only [ContinuousWithinAt, h] theorem continuousWithinAt_inter' {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝[s] x) : ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by simp [ContinuousWithinAt, nhdsWithin_restrict'' s h] #align continuous_within_at_inter' continuousWithinAt_inter' theorem continuousWithinAt_inter {f : α → β} {s t : Set α} {x : α} (h : t ∈ 𝓝 x) : ContinuousWithinAt f (s ∩ t) x ↔ ContinuousWithinAt f s x := by simp [ContinuousWithinAt, nhdsWithin_restrict' s h] #align continuous_within_at_inter continuousWithinAt_inter theorem continuousWithinAt_union {f : α → β} {s t : Set α} {x : α} : ContinuousWithinAt f (s ∪ t) x ↔ ContinuousWithinAt f s x ∧ ContinuousWithinAt f t x := by simp only [ContinuousWithinAt, nhdsWithin_union, tendsto_sup] #align continuous_within_at_union continuousWithinAt_union theorem ContinuousWithinAt.union {f : α → β} {s t : Set α} {x : α} (hs : ContinuousWithinAt f s x) (ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s ∪ t) x := continuousWithinAt_union.2 ⟨hs, ht⟩ #align continuous_within_at.union ContinuousWithinAt.union theorem ContinuousWithinAt.mem_closure_image {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) (hx : x ∈ closure s) : f x ∈ closure (f '' s) := haveI := mem_closure_iff_nhdsWithin_neBot.1 hx mem_closure_of_tendsto h <| mem_of_superset self_mem_nhdsWithin (subset_preimage_image f s) #align continuous_within_at.mem_closure_image ContinuousWithinAt.mem_closure_image theorem ContinuousWithinAt.mem_closure {f : α → β} {s : Set α} {x : α} {A : Set β} (h : ContinuousWithinAt f s x) (hx : x ∈ closure s) (hA : MapsTo f s A) : f x ∈ closure A := closure_mono (image_subset_iff.2 hA) (h.mem_closure_image hx) #align continuous_within_at.mem_closure ContinuousWithinAt.mem_closure theorem Set.MapsTo.closure_of_continuousWithinAt {f : α → β} {s : Set α} {t : Set β} (h : MapsTo f s t) (hc : ∀ x ∈ closure s, ContinuousWithinAt f s x) : MapsTo f (closure s) (closure t) := fun x hx => (hc x hx).mem_closure hx h #align set.maps_to.closure_of_continuous_within_at Set.MapsTo.closure_of_continuousWithinAt theorem Set.MapsTo.closure_of_continuousOn {f : α → β} {s : Set α} {t : Set β} (h : MapsTo f s t) (hc : ContinuousOn f (closure s)) : MapsTo f (closure s) (closure t) := h.closure_of_continuousWithinAt fun x hx => (hc x hx).mono subset_closure #align set.maps_to.closure_of_continuous_on Set.MapsTo.closure_of_continuousOn theorem ContinuousWithinAt.image_closure {f : α → β} {s : Set α} (hf : ∀ x ∈ closure s, ContinuousWithinAt f s x) : f '' closure s ⊆ closure (f '' s) := ((mapsTo_image f s).closure_of_continuousWithinAt hf).image_subset #align continuous_within_at.image_closure ContinuousWithinAt.image_closure theorem ContinuousOn.image_closure {f : α → β} {s : Set α} (hf : ContinuousOn f (closure s)) : f '' closure s ⊆ closure (f '' s) := ContinuousWithinAt.image_closure fun x hx => (hf x hx).mono subset_closure #align continuous_on.image_closure ContinuousOn.image_closure @[simp] theorem continuousWithinAt_singleton {f : α → β} {x : α} : ContinuousWithinAt f {x} x := by simp only [ContinuousWithinAt, nhdsWithin_singleton, tendsto_pure_nhds] #align continuous_within_at_singleton continuousWithinAt_singleton @[simp] theorem continuousWithinAt_insert_self {f : α → β} {x : α} {s : Set α} : ContinuousWithinAt f (insert x s) x ↔ ContinuousWithinAt f s x := by simp only [← singleton_union, continuousWithinAt_union, continuousWithinAt_singleton, true_and_iff] #align continuous_within_at_insert_self continuousWithinAt_insert_self alias ⟨_, ContinuousWithinAt.insert_self⟩ := continuousWithinAt_insert_self #align continuous_within_at.insert_self ContinuousWithinAt.insert_self theorem ContinuousWithinAt.diff_iff {f : α → β} {s t : Set α} {x : α} (ht : ContinuousWithinAt f t x) : ContinuousWithinAt f (s \ t) x ↔ ContinuousWithinAt f s x := ⟨fun h => (h.union ht).mono <| by simp only [diff_union_self, subset_union_left], fun h => h.mono diff_subset⟩ #align continuous_within_at.diff_iff ContinuousWithinAt.diff_iff @[simp] theorem continuousWithinAt_diff_self {f : α → β} {s : Set α} {x : α} : ContinuousWithinAt f (s \ {x}) x ↔ ContinuousWithinAt f s x := continuousWithinAt_singleton.diff_iff #align continuous_within_at_diff_self continuousWithinAt_diff_self @[simp] theorem continuousWithinAt_compl_self {f : α → β} {a : α} : ContinuousWithinAt f {a}ᶜ a ↔ ContinuousAt f a := by rw [compl_eq_univ_diff, continuousWithinAt_diff_self, continuousWithinAt_univ] #align continuous_within_at_compl_self continuousWithinAt_compl_self @[simp] theorem continuousWithinAt_update_same [DecidableEq α] {f : α → β} {s : Set α} {x : α} {y : β} : ContinuousWithinAt (update f x y) s x ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) := calc ContinuousWithinAt (update f x y) s x ↔ Tendsto (update f x y) (𝓝[s \ {x}] x) (𝓝 y) := by { rw [← continuousWithinAt_diff_self, ContinuousWithinAt, update_same] } _ ↔ Tendsto f (𝓝[s \ {x}] x) (𝓝 y) := tendsto_congr' <| eventually_nhdsWithin_iff.2 <| eventually_of_forall fun z hz => update_noteq hz.2 _ _ #align continuous_within_at_update_same continuousWithinAt_update_same @[simp] theorem continuousAt_update_same [DecidableEq α] {f : α → β} {x : α} {y : β} : ContinuousAt (Function.update f x y) x ↔ Tendsto f (𝓝[≠] x) (𝓝 y) := by rw [← continuousWithinAt_univ, continuousWithinAt_update_same, compl_eq_univ_diff] #align continuous_at_update_same continuousAt_update_same theorem IsOpenMap.continuousOn_image_of_leftInvOn {f : α → β} {s : Set α} (h : IsOpenMap (s.restrict f)) {finv : β → α} (hleft : LeftInvOn finv f s) : ContinuousOn finv (f '' s) := by refine continuousOn_iff'.2 fun t ht => ⟨f '' (t ∩ s), ?_, ?_⟩ · rw [← image_restrict] exact h _ (ht.preimage continuous_subtype_val) · rw [inter_eq_self_of_subset_left (image_subset f inter_subset_right), hleft.image_inter'] #align is_open_map.continuous_on_image_of_left_inv_on IsOpenMap.continuousOn_image_of_leftInvOn theorem IsOpenMap.continuousOn_range_of_leftInverse {f : α → β} (hf : IsOpenMap f) {finv : β → α} (hleft : Function.LeftInverse finv f) : ContinuousOn finv (range f) := by rw [← image_univ] exact (hf.restrict isOpen_univ).continuousOn_image_of_leftInvOn fun x _ => hleft x #align is_open_map.continuous_on_range_of_left_inverse IsOpenMap.continuousOn_range_of_leftInverse theorem ContinuousOn.congr_mono {f g : α → β} {s s₁ : Set α} (h : ContinuousOn f s) (h' : EqOn g f s₁) (h₁ : s₁ ⊆ s) : ContinuousOn g s₁ := by intro x hx unfold ContinuousWithinAt have A := (h x (h₁ hx)).mono h₁ unfold ContinuousWithinAt at A rw [← h' hx] at A exact A.congr' h'.eventuallyEq_nhdsWithin.symm #align continuous_on.congr_mono ContinuousOn.congr_mono theorem ContinuousOn.congr {f g : α → β} {s : Set α} (h : ContinuousOn f s) (h' : EqOn g f s) : ContinuousOn g s := h.congr_mono h' (Subset.refl _) #align continuous_on.congr ContinuousOn.congr theorem continuousOn_congr {f g : α → β} {s : Set α} (h' : EqOn g f s) : ContinuousOn g s ↔ ContinuousOn f s := ⟨fun h => ContinuousOn.congr h h'.symm, fun h => h.congr h'⟩ #align continuous_on_congr continuousOn_congr theorem ContinuousAt.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : ContinuousAt f x) : ContinuousWithinAt f s x := ContinuousWithinAt.mono ((continuousWithinAt_univ f x).2 h) (subset_univ _) #align continuous_at.continuous_within_at ContinuousAt.continuousWithinAt theorem continuousWithinAt_iff_continuousAt {f : α → β} {s : Set α} {x : α} (h : s ∈ 𝓝 x) : ContinuousWithinAt f s x ↔ ContinuousAt f x := by rw [← univ_inter s, continuousWithinAt_inter h, continuousWithinAt_univ] #align continuous_within_at_iff_continuous_at continuousWithinAt_iff_continuousAt theorem ContinuousWithinAt.continuousAt {f : α → β} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) (hs : s ∈ 𝓝 x) : ContinuousAt f x := (continuousWithinAt_iff_continuousAt hs).mp h #align continuous_within_at.continuous_at ContinuousWithinAt.continuousAt theorem IsOpen.continuousOn_iff {f : α → β} {s : Set α} (hs : IsOpen s) : ContinuousOn f s ↔ ∀ ⦃a⦄, a ∈ s → ContinuousAt f a := forall₂_congr fun _ => continuousWithinAt_iff_continuousAt ∘ hs.mem_nhds #align is_open.continuous_on_iff IsOpen.continuousOn_iff theorem ContinuousOn.continuousAt {f : α → β} {s : Set α} {x : α} (h : ContinuousOn f s) (hx : s ∈ 𝓝 x) : ContinuousAt f x := (h x (mem_of_mem_nhds hx)).continuousAt hx #align continuous_on.continuous_at ContinuousOn.continuousAt theorem ContinuousAt.continuousOn {f : α → β} {s : Set α} (hcont : ∀ x ∈ s, ContinuousAt f x) : ContinuousOn f s := fun x hx => (hcont x hx).continuousWithinAt #align continuous_at.continuous_on ContinuousAt.continuousOn theorem ContinuousWithinAt.comp {g : β → γ} {f : α → β} {s : Set α} {t : Set β} {x : α} (hg : ContinuousWithinAt g t (f x)) (hf : ContinuousWithinAt f s x) (h : MapsTo f s t) : ContinuousWithinAt (g ∘ f) s x := hg.tendsto.comp (hf.tendsto_nhdsWithin h) #align continuous_within_at.comp ContinuousWithinAt.comp theorem ContinuousWithinAt.comp' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} {x : α} (hg : ContinuousWithinAt g t (f x)) (hf : ContinuousWithinAt f s x) : ContinuousWithinAt (g ∘ f) (s ∩ f ⁻¹' t) x := hg.comp (hf.mono inter_subset_left) inter_subset_right #align continuous_within_at.comp' ContinuousWithinAt.comp' theorem ContinuousAt.comp_continuousWithinAt {g : β → γ} {f : α → β} {s : Set α} {x : α} (hg : ContinuousAt g (f x)) (hf : ContinuousWithinAt f s x) : ContinuousWithinAt (g ∘ f) s x := hg.continuousWithinAt.comp hf (mapsTo_univ _ _) #align continuous_at.comp_continuous_within_at ContinuousAt.comp_continuousWithinAt theorem ContinuousOn.comp {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t) (hf : ContinuousOn f s) (h : MapsTo f s t) : ContinuousOn (g ∘ f) s := fun x hx => ContinuousWithinAt.comp (hg _ (h hx)) (hf x hx) h #align continuous_on.comp ContinuousOn.comp @[fun_prop] theorem ContinuousOn.comp'' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t) (hf : ContinuousOn f s) (h : Set.MapsTo f s t) : ContinuousOn (fun x => g (f x)) s := ContinuousOn.comp hg hf h theorem ContinuousOn.mono {f : α → β} {s t : Set α} (hf : ContinuousOn f s) (h : t ⊆ s) : ContinuousOn f t := fun x hx => (hf x (h hx)).mono_left (nhdsWithin_mono _ h) #align continuous_on.mono ContinuousOn.mono theorem antitone_continuousOn {f : α → β} : Antitone (ContinuousOn f) := fun _s _t hst hf => hf.mono hst #align antitone_continuous_on antitone_continuousOn @[fun_prop] theorem ContinuousOn.comp' {g : β → γ} {f : α → β} {s : Set α} {t : Set β} (hg : ContinuousOn g t) (hf : ContinuousOn f s) : ContinuousOn (g ∘ f) (s ∩ f ⁻¹' t) := hg.comp (hf.mono inter_subset_left) inter_subset_right #align continuous_on.comp' ContinuousOn.comp' @[fun_prop] theorem Continuous.continuousOn {f : α → β} {s : Set α} (h : Continuous f) : ContinuousOn f s := by rw [continuous_iff_continuousOn_univ] at h exact h.mono (subset_univ _) #align continuous.continuous_on Continuous.continuousOn theorem Continuous.continuousWithinAt {f : α → β} {s : Set α} {x : α} (h : Continuous f) : ContinuousWithinAt f s x := h.continuousAt.continuousWithinAt #align continuous.continuous_within_at Continuous.continuousWithinAt theorem Continuous.comp_continuousOn {g : β → γ} {f : α → β} {s : Set α} (hg : Continuous g) (hf : ContinuousOn f s) : ContinuousOn (g ∘ f) s := hg.continuousOn.comp hf (mapsTo_univ _ _) #align continuous.comp_continuous_on Continuous.comp_continuousOn @[fun_prop] theorem Continuous.comp_continuousOn' {α β γ : Type*} [TopologicalSpace α] [TopologicalSpace β] [TopologicalSpace γ] {g : β → γ} {f : α → β} {s : Set α} (hg : Continuous g) (hf : ContinuousOn f s) : ContinuousOn (fun x ↦ g (f x)) s := hg.comp_continuousOn hf theorem ContinuousOn.comp_continuous {g : β → γ} {f : α → β} {s : Set β} (hg : ContinuousOn g s) (hf : Continuous f) (hs : ∀ x, f x ∈ s) : Continuous (g ∘ f) := by rw [continuous_iff_continuousOn_univ] at * exact hg.comp hf fun x _ => hs x #align continuous_on.comp_continuous ContinuousOn.comp_continuous @[fun_prop] theorem continuousOn_apply {ι : Type*} {π : ι → Type*} [∀ i, TopologicalSpace (π i)] (i : ι) (s) : ContinuousOn (fun p : ∀ i, π i => p i) s := Continuous.continuousOn (continuous_apply i) theorem ContinuousWithinAt.preimage_mem_nhdsWithin {f : α → β} {x : α} {s : Set α} {t : Set β} (h : ContinuousWithinAt f s x) (ht : t ∈ 𝓝 (f x)) : f ⁻¹' t ∈ 𝓝[s] x := h ht #align continuous_within_at.preimage_mem_nhds_within ContinuousWithinAt.preimage_mem_nhdsWithin theorem Set.LeftInvOn.map_nhdsWithin_eq {f : α → β} {g : β → α} {x : β} {s : Set β} (h : LeftInvOn f g s) (hx : f (g x) = x) (hf : ContinuousWithinAt f (g '' s) (g x)) (hg : ContinuousWithinAt g s x) : map g (𝓝[s] x) = 𝓝[g '' s] g x := by apply le_antisymm · exact hg.tendsto_nhdsWithin (mapsTo_image _ _) · have A : g ∘ f =ᶠ[𝓝[g '' s] g x] id := h.rightInvOn_image.eqOn.eventuallyEq_of_mem self_mem_nhdsWithin refine le_map_of_right_inverse A ?_ simpa only [hx] using hf.tendsto_nhdsWithin (h.mapsTo (surjOn_image _ _)) #align set.left_inv_on.map_nhds_within_eq Set.LeftInvOn.map_nhdsWithin_eq
Mathlib/Topology/ContinuousOn.lean
1,007
1,011
theorem Function.LeftInverse.map_nhds_eq {f : α → β} {g : β → α} {x : β} (h : Function.LeftInverse f g) (hf : ContinuousWithinAt f (range g) (g x)) (hg : ContinuousAt g x) : map g (𝓝 x) = 𝓝[range g] g x := by
simpa only [nhdsWithin_univ, image_univ] using (h.leftInvOn univ).map_nhdsWithin_eq (h x) (by rwa [image_univ]) hg.continuousWithinAt
import Mathlib.AlgebraicTopology.SimplicialObject import Mathlib.CategoryTheory.Limits.Shapes.Products #align_import algebraic_topology.split_simplicial_object from "leanprover-community/mathlib"@"dd1f8496baa505636a82748e6b652165ea888733" noncomputable section open CategoryTheory CategoryTheory.Category CategoryTheory.Limits Opposite SimplexCategory open Simplicial universe u variable {C : Type*} [Category C] namespace SimplicialObject namespace Splitting def IndexSet (Δ : SimplexCategoryᵒᵖ) := ΣΔ' : SimplexCategoryᵒᵖ, { α : Δ.unop ⟶ Δ'.unop // Epi α } #align simplicial_object.splitting.index_set SimplicialObject.Splitting.IndexSet namespace IndexSet @[simps] def mk {Δ Δ' : SimplexCategory} (f : Δ ⟶ Δ') [Epi f] : IndexSet (op Δ) := ⟨op Δ', f, inferInstance⟩ #align simplicial_object.splitting.index_set.mk SimplicialObject.Splitting.IndexSet.mk variable {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) def e := A.2.1 #align simplicial_object.splitting.index_set.e SimplicialObject.Splitting.IndexSet.e instance : Epi A.e := A.2.2 theorem ext' : A = ⟨A.1, ⟨A.e, A.2.2⟩⟩ := rfl #align simplicial_object.splitting.index_set.ext' SimplicialObject.Splitting.IndexSet.ext' theorem ext (A₁ A₂ : IndexSet Δ) (h₁ : A₁.1 = A₂.1) (h₂ : A₁.e ≫ eqToHom (by rw [h₁]) = A₂.e) : A₁ = A₂ := by rcases A₁ with ⟨Δ₁, ⟨α₁, hα₁⟩⟩ rcases A₂ with ⟨Δ₂, ⟨α₂, hα₂⟩⟩ simp only at h₁ subst h₁ simp only [eqToHom_refl, comp_id, IndexSet.e] at h₂ simp only [h₂] #align simplicial_object.splitting.index_set.ext SimplicialObject.Splitting.IndexSet.ext instance : Fintype (IndexSet Δ) := Fintype.ofInjective (fun A => ⟨⟨A.1.unop.len, Nat.lt_succ_iff.mpr (len_le_of_epi (inferInstance : Epi A.e))⟩, A.e.toOrderHom⟩ : IndexSet Δ → Sigma fun k : Fin (Δ.unop.len + 1) => Fin (Δ.unop.len + 1) → Fin (k + 1)) (by rintro ⟨Δ₁, α₁⟩ ⟨Δ₂, α₂⟩ h₁ induction' Δ₁ using Opposite.rec with Δ₁ induction' Δ₂ using Opposite.rec with Δ₂ simp only [unop_op, Sigma.mk.inj_iff, Fin.mk.injEq] at h₁ have h₂ : Δ₁ = Δ₂ := by ext1 simpa only [Fin.mk_eq_mk] using h₁.1 subst h₂ refine ext _ _ rfl ?_ ext : 2 exact eq_of_heq h₁.2) variable (Δ) @[simps] def id : IndexSet Δ := ⟨Δ, ⟨𝟙 _, by infer_instance⟩⟩ #align simplicial_object.splitting.index_set.id SimplicialObject.Splitting.IndexSet.id instance : Inhabited (IndexSet Δ) := ⟨id Δ⟩ variable {Δ} @[simp] def EqId : Prop := A = id _ #align simplicial_object.splitting.index_set.eq_id SimplicialObject.Splitting.IndexSet.EqId
Mathlib/AlgebraicTopology/SplitSimplicialObject.lean
127
140
theorem eqId_iff_eq : A.EqId ↔ A.1 = Δ := by
constructor · intro h dsimp at h rw [h] rfl · intro h rcases A with ⟨_, ⟨f, hf⟩⟩ simp only at h subst h refine ext _ _ rfl ?_ haveI := hf simp only [eqToHom_refl, comp_id] exact eq_id_of_epi f
import Mathlib.MeasureTheory.Constructions.HaarToSphere import Mathlib.MeasureTheory.Integral.Gamma import Mathlib.MeasureTheory.Integral.Pi import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup section general_case open MeasureTheory MeasureTheory.Measure FiniteDimensional ENNReal theorem MeasureTheory.measure_unitBall_eq_integral_div_gamma {E : Type*} {p : ℝ} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ] (hp : 0 < p) : μ (Metric.ball 0 1) = .ofReal ((∫ (x : E), Real.exp (- ‖x‖ ^ p) ∂μ) / Real.Gamma (finrank ℝ E / p + 1)) := by obtain hE | hE := subsingleton_or_nontrivial E · rw [(Metric.nonempty_ball.mpr zero_lt_one).eq_zero, ← integral_univ, Set.univ_nonempty.eq_zero, integral_singleton, finrank_zero_of_subsingleton, Nat.cast_zero, zero_div, zero_add, Real.Gamma_one, div_one, norm_zero, Real.zero_rpow (ne_of_gt hp), neg_zero, Real.exp_zero, smul_eq_mul, mul_one, ofReal_toReal (measure_ne_top μ {0})] · have : (0:ℝ) < finrank ℝ E := Nat.cast_pos.mpr finrank_pos have : ((∫ y in Set.Ioi (0:ℝ), y ^ (finrank ℝ E - 1) • Real.exp (-y ^ p)) / Real.Gamma ((finrank ℝ E) / p + 1)) * (finrank ℝ E) = 1 := by simp_rw [← Real.rpow_natCast _ (finrank ℝ E - 1), smul_eq_mul, Nat.cast_sub finrank_pos, Nat.cast_one] rw [integral_rpow_mul_exp_neg_rpow hp (by linarith), sub_add_cancel, Real.Gamma_add_one (ne_of_gt (by positivity))] field_simp; ring rw [integral_fun_norm_addHaar μ (fun x => Real.exp (- x ^ p)), nsmul_eq_mul, smul_eq_mul, mul_div_assoc, mul_div_assoc, mul_comm, mul_assoc, this, mul_one, ofReal_toReal] exact ne_of_lt measure_ball_lt_top variable {E : Type*} [AddCommGroup E] [Module ℝ E] [FiniteDimensional ℝ E] [mE : MeasurableSpace E] [tE : TopologicalSpace E] [TopologicalAddGroup E] [BorelSpace E] [T2Space E] [ContinuousSMul ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {g : E → ℝ} (h1 : g 0 = 0) (h2 : ∀ x, g (- x) = g x) (h3 : ∀ x y, g (x + y) ≤ g x + g y) (h4 : ∀ {x}, g x = 0 → x = 0) (h5 : ∀ r x, g (r • x) ≤ |r| * (g x))
Mathlib/MeasureTheory/Measure/Lebesgue/VolumeOfBalls.lean
73
115
theorem MeasureTheory.measure_lt_one_eq_integral_div_gamma {p : ℝ} (hp : 0 < p) : μ {x : E | g x < 1} = .ofReal ((∫ (x : E), Real.exp (- (g x) ^ p) ∂μ) / Real.Gamma (finrank ℝ E / p + 1)) := by
-- We copy `E` to a new type `F` on which we will put the norm defined by `g` letI F : Type _ := E letI : NormedAddCommGroup F := { norm := g dist := fun x y => g (x - y) dist_self := by simp only [_root_.sub_self, h1, forall_const] dist_comm := fun _ _ => by dsimp [dist]; rw [← h2, neg_sub] dist_triangle := fun x y z => by convert h3 (x - y) (y - z) using 1; abel_nf edist := fun x y => .ofReal (g (x - y)) edist_dist := fun _ _ => rfl eq_of_dist_eq_zero := by convert fun _ _ h => eq_of_sub_eq_zero (h4 h) } letI : NormedSpace ℝ F := { norm_smul_le := fun _ _ ↦ h5 _ _ } -- We put the new topology on F letI : TopologicalSpace F := UniformSpace.toTopologicalSpace letI : MeasurableSpace F := borel F have : BorelSpace F := { measurable_eq := rfl } -- The map between `E` and `F` as a continuous linear equivalence let φ := @LinearEquiv.toContinuousLinearEquiv ℝ _ E _ _ tE _ _ F _ _ _ _ _ _ _ _ _ (LinearEquiv.refl ℝ E : E ≃ₗ[ℝ] F) -- The measure `ν` is the measure on `F` defined by `μ` -- Since we have two different topologies, it is necessary to specify the topology of E let ν : Measure F := @Measure.map E F _ mE φ μ have : IsAddHaarMeasure ν := @ContinuousLinearEquiv.isAddHaarMeasure_map E F ℝ ℝ _ _ _ _ _ _ tE _ _ _ _ _ _ _ mE _ _ _ φ μ _ convert (measure_unitBall_eq_integral_div_gamma ν hp) using 1 · rw [@Measure.map_apply E F mE _ μ φ _ _ measurableSet_ball] · congr! simp_rw [Metric.ball, dist_zero_right] rfl · refine @Continuous.measurable E F tE mE _ _ _ _ φ ?_ exact @ContinuousLinearEquiv.continuous ℝ ℝ _ _ _ _ _ _ E tE _ F _ _ _ _ φ · -- The map between `E` and `F` as a measurable equivalence let ψ := @Homeomorph.toMeasurableEquiv E F tE mE _ _ _ _ (@ContinuousLinearEquiv.toHomeomorph ℝ ℝ _ _ _ _ _ _ E tE _ F _ _ _ _ φ) -- The map `ψ` is measure preserving by construction have : @MeasurePreserving E F mE _ ψ μ ν := @Measurable.measurePreserving E F mE _ ψ (@MeasurableEquiv.measurable E F mE _ ψ) _ erw [← this.integral_comp'] rfl
import Mathlib.Analysis.Convex.Between import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic import Mathlib.Analysis.NormedSpace.AffineIsometry #align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open Real RealInnerProductSpace namespace EuclideanGeometry open InnerProductGeometry variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] [NormedAddTorsor V P] {p p₀ p₁ p₂ : P} nonrec def angle (p1 p2 p3 : P) : ℝ := angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2) #align euclidean_geometry.angle EuclideanGeometry.angle @[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) : ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1) have hf1 : (f x).1 ≠ 0 := by simp [hx12] have hf2 : (f x).2 ≠ 0 := by simp [hx32] exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk (continuous_snd.snd.vsub continuous_snd.fst)).continuousAt #align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle @[simp] theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂] [InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂] (f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map] #align affine_isometry.angle_map AffineIsometry.angle_map @[simp, norm_cast] theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) : haveI : Nonempty s := ⟨p₁⟩ ∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ := haveI : Nonempty s := ⟨p₁⟩ s.subtypeₐᵢ.angle_map p₁ p₂ p₃ #align affine_subspace.angle_coe AffineSubspace.angle_coe @[simp] theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vadd EuclideanGeometry.angle_const_vadd @[simp] theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ := (AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vadd_const EuclideanGeometry.angle_vadd_const @[simp] theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_const_vsub EuclideanGeometry.angle_const_vsub @[simp] theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ := (AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _ #align euclidean_geometry.angle_vsub_const EuclideanGeometry.angle_vsub_const @[simp] theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ := angle_vadd_const _ _ _ _ #align euclidean_geometry.angle_add_const EuclideanGeometry.angle_add_const @[simp] theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ := angle_const_vadd _ _ _ _ #align euclidean_geometry.angle_const_add EuclideanGeometry.angle_const_add @[simp] theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v #align euclidean_geometry.angle_sub_const EuclideanGeometry.angle_sub_const @[simp] theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃ #align euclidean_geometry.angle_const_sub EuclideanGeometry.angle_const_sub @[simp] theorem angle_neg (v₁ v₂ v₃ : V) : ∠ (-v₁) (-v₂) (-v₃) = ∠ v₁ v₂ v₃ := by simpa only [zero_sub] using angle_const_sub 0 v₁ v₂ v₃ #align euclidean_geometry.angle_neg EuclideanGeometry.angle_neg nonrec theorem angle_comm (p1 p2 p3 : P) : ∠ p1 p2 p3 = ∠ p3 p2 p1 := angle_comm _ _ #align euclidean_geometry.angle_comm EuclideanGeometry.angle_comm nonrec theorem angle_nonneg (p1 p2 p3 : P) : 0 ≤ ∠ p1 p2 p3 := angle_nonneg _ _ #align euclidean_geometry.angle_nonneg EuclideanGeometry.angle_nonneg nonrec theorem angle_le_pi (p1 p2 p3 : P) : ∠ p1 p2 p3 ≤ π := angle_le_pi _ _ #align euclidean_geometry.angle_le_pi EuclideanGeometry.angle_le_pi @[simp] lemma angle_self_left (p₀ p : P) : ∠ p₀ p₀ p = π / 2 := by unfold angle rw [vsub_self] exact angle_zero_left _ #align euclidean_geometry.angle_eq_left EuclideanGeometry.angle_self_left @[simp] lemma angle_self_right (p₀ p : P) : ∠ p p₀ p₀ = π / 2 := by rw [angle_comm, angle_self_left] #align euclidean_geometry.angle_eq_right EuclideanGeometry.angle_self_right theorem angle_self_of_ne (h : p ≠ p₀) : ∠ p p₀ p = 0 := angle_self $ vsub_ne_zero.2 h #align euclidean_geometry.angle_eq_of_ne EuclideanGeometry.angle_self_of_ne @[deprecated (since := "2024-02-14")] alias angle_eq_left := angle_self_left @[deprecated (since := "2024-02-14")] alias angle_eq_right := angle_self_right @[deprecated (since := "2024-02-14")] alias angle_eq_of_ne := angle_self_of_ne theorem angle_eq_zero_of_angle_eq_pi_left {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : ∠ p2 p1 p3 = 0 := by unfold angle at h rw [angle_eq_pi_iff] at h rcases h with ⟨hp1p2, ⟨r, ⟨hr, hpr⟩⟩⟩ unfold angle rw [angle_eq_zero_iff] rw [← neg_vsub_eq_vsub_rev, neg_ne_zero] at hp1p2 use hp1p2, -r + 1, add_pos (neg_pos_of_neg hr) zero_lt_one rw [add_smul, ← neg_vsub_eq_vsub_rev p1 p2, smul_neg] simp [← hpr] #align euclidean_geometry.angle_eq_zero_of_angle_eq_pi_left EuclideanGeometry.angle_eq_zero_of_angle_eq_pi_left theorem angle_eq_zero_of_angle_eq_pi_right {p1 p2 p3 : P} (h : ∠ p1 p2 p3 = π) : ∠ p2 p3 p1 = 0 := by rw [angle_comm] at h exact angle_eq_zero_of_angle_eq_pi_left h #align euclidean_geometry.angle_eq_zero_of_angle_eq_pi_right EuclideanGeometry.angle_eq_zero_of_angle_eq_pi_right
Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean
185
192
theorem angle_eq_angle_of_angle_eq_pi (p1 : P) {p2 p3 p4 : P} (h : ∠ p2 p3 p4 = π) : ∠ p1 p2 p3 = ∠ p1 p2 p4 := by
unfold angle at * rcases angle_eq_pi_iff.1 h with ⟨_, ⟨r, ⟨hr, hpr⟩⟩⟩ rw [eq_comm] convert angle_smul_right_of_pos (p1 -ᵥ p2) (p3 -ᵥ p2) (add_pos (neg_pos_of_neg hr) zero_lt_one) rw [add_smul, ← neg_vsub_eq_vsub_rev p2 p3, smul_neg, neg_smul, ← hpr] simp
import Mathlib.Algebra.Group.Prod import Mathlib.Algebra.Group.Units.Equiv import Mathlib.Algebra.GroupPower.IterateHom import Mathlib.Logic.Equiv.Set import Mathlib.Tactic.Common #align_import group_theory.perm.basic from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd" universe u v namespace Equiv variable {α : Type u} {β : Type v} namespace Perm instance instOne : One (Perm α) where one := Equiv.refl _ instance instMul : Mul (Perm α) where mul f g := Equiv.trans g f instance instInv : Inv (Perm α) where inv := Equiv.symm instance instPowNat : Pow (Perm α) ℕ where pow f n := ⟨f^[n], f.symm^[n], f.left_inv.iterate _, f.right_inv.iterate _⟩ instance permGroup : Group (Perm α) where mul_assoc f g h := (trans_assoc _ _ _).symm one_mul := trans_refl mul_one := refl_trans mul_left_inv := self_trans_symm npow n f := f ^ n npow_succ n f := coe_fn_injective $ Function.iterate_succ _ _ zpow := zpowRec fun n f ↦ f ^ n zpow_succ' n f := coe_fn_injective $ Function.iterate_succ _ _ #align equiv.perm.perm_group Equiv.Perm.permGroup @[simp] theorem default_eq : (default : Perm α) = 1 := rfl #align equiv.perm.default_eq Equiv.Perm.default_eq @[simps] def equivUnitsEnd : Perm α ≃* Units (Function.End α) where -- Porting note: needed to add `.toFun`. toFun e := ⟨e.toFun, e.symm.toFun, e.self_comp_symm, e.symm_comp_self⟩ invFun u := ⟨(u : Function.End α), (↑u⁻¹ : Function.End α), congr_fun u.inv_val, congr_fun u.val_inv⟩ left_inv _ := ext fun _ => rfl right_inv _ := Units.ext rfl map_mul' _ _ := rfl #align equiv.perm.equiv_units_End Equiv.Perm.equivUnitsEnd #align equiv.perm.equiv_units_End_symm_apply_apply Equiv.Perm.equivUnitsEnd_symm_apply_apply #align equiv.perm.equiv_units_End_symm_apply_symm_apply Equiv.Perm.equivUnitsEnd_symm_apply_symm_apply @[simps!] def _root_.MonoidHom.toHomPerm {G : Type*} [Group G] (f : G →* Function.End α) : G →* Perm α := equivUnitsEnd.symm.toMonoidHom.comp f.toHomUnits #align monoid_hom.to_hom_perm MonoidHom.toHomPerm #align monoid_hom.to_hom_perm_apply_symm_apply MonoidHom.toHomPerm_apply_symm_apply #align monoid_hom.to_hom_perm_apply_apply MonoidHom.toHomPerm_apply_apply theorem mul_apply (f g : Perm α) (x) : (f * g) x = f (g x) := Equiv.trans_apply _ _ _ #align equiv.perm.mul_apply Equiv.Perm.mul_apply theorem one_apply (x) : (1 : Perm α) x = x := rfl #align equiv.perm.one_apply Equiv.Perm.one_apply @[simp] theorem inv_apply_self (f : Perm α) (x) : f⁻¹ (f x) = x := f.symm_apply_apply x #align equiv.perm.inv_apply_self Equiv.Perm.inv_apply_self @[simp] theorem apply_inv_self (f : Perm α) (x) : f (f⁻¹ x) = x := f.apply_symm_apply x #align equiv.perm.apply_inv_self Equiv.Perm.apply_inv_self theorem one_def : (1 : Perm α) = Equiv.refl α := rfl #align equiv.perm.one_def Equiv.Perm.one_def theorem mul_def (f g : Perm α) : f * g = g.trans f := rfl #align equiv.perm.mul_def Equiv.Perm.mul_def theorem inv_def (f : Perm α) : f⁻¹ = f.symm := rfl #align equiv.perm.inv_def Equiv.Perm.inv_def @[simp, norm_cast] lemma coe_one : ⇑(1 : Perm α) = id := rfl #align equiv.perm.coe_one Equiv.Perm.coe_one @[simp, norm_cast] lemma coe_mul (f g : Perm α) : ⇑(f * g) = f ∘ g := rfl #align equiv.perm.coe_mul Equiv.Perm.coe_mul @[norm_cast] lemma coe_pow (f : Perm α) (n : ℕ) : ⇑(f ^ n) = f^[n] := rfl #align equiv.perm.coe_pow Equiv.Perm.coe_pow @[simp] lemma iterate_eq_pow (f : Perm α) (n : ℕ) : f^[n] = ⇑(f ^ n) := rfl #align equiv.perm.iterate_eq_pow Equiv.Perm.iterate_eq_pow theorem eq_inv_iff_eq {f : Perm α} {x y : α} : x = f⁻¹ y ↔ f x = y := f.eq_symm_apply #align equiv.perm.eq_inv_iff_eq Equiv.Perm.eq_inv_iff_eq theorem inv_eq_iff_eq {f : Perm α} {x y : α} : f⁻¹ x = y ↔ x = f y := f.symm_apply_eq #align equiv.perm.inv_eq_iff_eq Equiv.Perm.inv_eq_iff_eq theorem zpow_apply_comm {α : Type*} (σ : Perm α) (m n : ℤ) {x : α} : (σ ^ m) ((σ ^ n) x) = (σ ^ n) ((σ ^ m) x) := by rw [← Equiv.Perm.mul_apply, ← Equiv.Perm.mul_apply, zpow_mul_comm] #align equiv.perm.zpow_apply_comm Equiv.Perm.zpow_apply_comm @[simp] lemma image_inv (f : Perm α) (s : Set α) : ↑f⁻¹ '' s = f ⁻¹' s := f⁻¹.image_eq_preimage _ #align equiv.perm.image_inv Equiv.Perm.image_inv @[simp] lemma preimage_inv (f : Perm α) (s : Set α) : ↑f⁻¹ ⁻¹' s = f '' s := (f.image_eq_preimage _).symm #align equiv.perm.preimage_inv Equiv.Perm.preimage_inv @[simp] theorem trans_one {α : Sort*} {β : Type*} (e : α ≃ β) : e.trans (1 : Perm β) = e := Equiv.trans_refl e #align equiv.perm.trans_one Equiv.Perm.trans_one @[simp] theorem mul_refl (e : Perm α) : e * Equiv.refl α = e := Equiv.trans_refl e #align equiv.perm.mul_refl Equiv.Perm.mul_refl @[simp] theorem one_symm : (1 : Perm α).symm = 1 := Equiv.refl_symm #align equiv.perm.one_symm Equiv.Perm.one_symm @[simp] theorem refl_inv : (Equiv.refl α : Perm α)⁻¹ = 1 := Equiv.refl_symm #align equiv.perm.refl_inv Equiv.Perm.refl_inv @[simp] theorem one_trans {α : Type*} {β : Sort*} (e : α ≃ β) : (1 : Perm α).trans e = e := Equiv.refl_trans e #align equiv.perm.one_trans Equiv.Perm.one_trans @[simp] theorem refl_mul (e : Perm α) : Equiv.refl α * e = e := Equiv.refl_trans e #align equiv.perm.refl_mul Equiv.Perm.refl_mul @[simp] theorem inv_trans_self (e : Perm α) : e⁻¹.trans e = 1 := Equiv.symm_trans_self e #align equiv.perm.inv_trans_self Equiv.Perm.inv_trans_self @[simp] theorem mul_symm (e : Perm α) : e * e.symm = 1 := Equiv.symm_trans_self e #align equiv.perm.mul_symm Equiv.Perm.mul_symm @[simp] theorem self_trans_inv (e : Perm α) : e.trans e⁻¹ = 1 := Equiv.self_trans_symm e #align equiv.perm.self_trans_inv Equiv.Perm.self_trans_inv @[simp] theorem symm_mul (e : Perm α) : e.symm * e = 1 := Equiv.self_trans_symm e #align equiv.perm.symm_mul Equiv.Perm.symm_mul @[simp] theorem sumCongr_mul {α β : Type*} (e : Perm α) (f : Perm β) (g : Perm α) (h : Perm β) : sumCongr e f * sumCongr g h = sumCongr (e * g) (f * h) := sumCongr_trans g h e f #align equiv.perm.sum_congr_mul Equiv.Perm.sumCongr_mul @[simp] theorem sumCongr_inv {α β : Type*} (e : Perm α) (f : Perm β) : (sumCongr e f)⁻¹ = sumCongr e⁻¹ f⁻¹ := sumCongr_symm e f #align equiv.perm.sum_congr_inv Equiv.Perm.sumCongr_inv @[simp] theorem sumCongr_one {α β : Type*} : sumCongr (1 : Perm α) (1 : Perm β) = 1 := sumCongr_refl #align equiv.perm.sum_congr_one Equiv.Perm.sumCongr_one @[simps] def sumCongrHom (α β : Type*) : Perm α × Perm β →* Perm (Sum α β) where toFun a := sumCongr a.1 a.2 map_one' := sumCongr_one map_mul' _ _ := (sumCongr_mul _ _ _ _).symm #align equiv.perm.sum_congr_hom Equiv.Perm.sumCongrHom #align equiv.perm.sum_congr_hom_apply Equiv.Perm.sumCongrHom_apply theorem sumCongrHom_injective {α β : Type*} : Function.Injective (sumCongrHom α β) := by rintro ⟨⟩ ⟨⟩ h rw [Prod.mk.inj_iff] constructor <;> ext i · simpa using Equiv.congr_fun h (Sum.inl i) · simpa using Equiv.congr_fun h (Sum.inr i) #align equiv.perm.sum_congr_hom_injective Equiv.Perm.sumCongrHom_injective @[simp] theorem sumCongr_swap_one {α β : Type*} [DecidableEq α] [DecidableEq β] (i j : α) : sumCongr (Equiv.swap i j) (1 : Perm β) = Equiv.swap (Sum.inl i) (Sum.inl j) := sumCongr_swap_refl i j #align equiv.perm.sum_congr_swap_one Equiv.Perm.sumCongr_swap_one @[simp] theorem sumCongr_one_swap {α β : Type*} [DecidableEq α] [DecidableEq β] (i j : β) : sumCongr (1 : Perm α) (Equiv.swap i j) = Equiv.swap (Sum.inr i) (Sum.inr j) := sumCongr_refl_swap i j #align equiv.perm.sum_congr_one_swap Equiv.Perm.sumCongr_one_swap @[simp] theorem sigmaCongrRight_mul {α : Type*} {β : α → Type*} (F : ∀ a, Perm (β a)) (G : ∀ a, Perm (β a)) : sigmaCongrRight F * sigmaCongrRight G = sigmaCongrRight (F * G) := sigmaCongrRight_trans G F #align equiv.perm.sigma_congr_right_mul Equiv.Perm.sigmaCongrRight_mul @[simp] theorem sigmaCongrRight_inv {α : Type*} {β : α → Type*} (F : ∀ a, Perm (β a)) : (sigmaCongrRight F)⁻¹ = sigmaCongrRight fun a => (F a)⁻¹ := sigmaCongrRight_symm F #align equiv.perm.sigma_congr_right_inv Equiv.Perm.sigmaCongrRight_inv @[simp] theorem sigmaCongrRight_one {α : Type*} {β : α → Type*} : sigmaCongrRight (1 : ∀ a, Equiv.Perm <| β a) = 1 := sigmaCongrRight_refl #align equiv.perm.sigma_congr_right_one Equiv.Perm.sigmaCongrRight_one @[simps] def sigmaCongrRightHom {α : Type*} (β : α → Type*) : (∀ a, Perm (β a)) →* Perm (Σa, β a) where toFun := sigmaCongrRight map_one' := sigmaCongrRight_one map_mul' _ _ := (sigmaCongrRight_mul _ _).symm #align equiv.perm.sigma_congr_right_hom Equiv.Perm.sigmaCongrRightHom #align equiv.perm.sigma_congr_right_hom_apply Equiv.Perm.sigmaCongrRightHom_apply
Mathlib/GroupTheory/Perm/Basic.lean
278
282
theorem sigmaCongrRightHom_injective {α : Type*} {β : α → Type*} : Function.Injective (sigmaCongrRightHom β) := by
intro x y h ext a b simpa using Equiv.congr_fun h ⟨a, b⟩
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import analysis.inner_product_space.adjoint from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open RCLike open scoped ComplexConjugate variable {𝕜 E F G : Type*} [RCLike 𝕜] variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] variable [InnerProductSpace 𝕜 E] [InnerProductSpace 𝕜 F] [InnerProductSpace 𝕜 G] local notation "⟪" x ", " y "⟫" => @inner 𝕜 _ _ x y open InnerProductSpace namespace ContinuousLinearMap variable [CompleteSpace E] [CompleteSpace G] -- Note: made noncomputable to stop excess compilation -- leanprover-community/mathlib4#7103 noncomputable def adjointAux : (E →L[𝕜] F) →L⋆[𝕜] F →L[𝕜] E := (ContinuousLinearMap.compSL _ _ _ _ _ ((toDual 𝕜 E).symm : NormedSpace.Dual 𝕜 E →L⋆[𝕜] E)).comp (toSesqForm : (E →L[𝕜] F) →L[𝕜] F →L⋆[𝕜] NormedSpace.Dual 𝕜 E) #align continuous_linear_map.adjoint_aux ContinuousLinearMap.adjointAux @[simp] theorem adjointAux_apply (A : E →L[𝕜] F) (x : F) : adjointAux A x = ((toDual 𝕜 E).symm : NormedSpace.Dual 𝕜 E → E) ((toSesqForm A) x) := rfl #align continuous_linear_map.adjoint_aux_apply ContinuousLinearMap.adjointAux_apply theorem adjointAux_inner_left (A : E →L[𝕜] F) (x : E) (y : F) : ⟪adjointAux A y, x⟫ = ⟪y, A x⟫ := by rw [adjointAux_apply, toDual_symm_apply, toSesqForm_apply_coe, coe_comp', innerSL_apply_coe, Function.comp_apply] #align continuous_linear_map.adjoint_aux_inner_left ContinuousLinearMap.adjointAux_inner_left theorem adjointAux_inner_right (A : E →L[𝕜] F) (x : E) (y : F) : ⟪x, adjointAux A y⟫ = ⟪A x, y⟫ := by rw [← inner_conj_symm, adjointAux_inner_left, inner_conj_symm] #align continuous_linear_map.adjoint_aux_inner_right ContinuousLinearMap.adjointAux_inner_right variable [CompleteSpace F] theorem adjointAux_adjointAux (A : E →L[𝕜] F) : adjointAux (adjointAux A) = A := by ext v refine ext_inner_left 𝕜 fun w => ?_ rw [adjointAux_inner_right, adjointAux_inner_left] #align continuous_linear_map.adjoint_aux_adjoint_aux ContinuousLinearMap.adjointAux_adjointAux @[simp]
Mathlib/Analysis/InnerProductSpace/Adjoint.lean
99
107
theorem adjointAux_norm (A : E →L[𝕜] F) : ‖adjointAux A‖ = ‖A‖ := by
refine le_antisymm ?_ ?_ · refine ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg _) fun x => ?_ rw [adjointAux_apply, LinearIsometryEquiv.norm_map] exact toSesqForm_apply_norm_le · nth_rw 1 [← adjointAux_adjointAux A] refine ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg _) fun x => ?_ rw [adjointAux_apply, LinearIsometryEquiv.norm_map] exact toSesqForm_apply_norm_le
import Mathlib.RingTheory.GradedAlgebra.HomogeneousIdeal #align_import ring_theory.graded_algebra.radical from "leanprover-community/mathlib"@"f1944b30c97c5eb626e498307dec8b022a05bd0a" open GradedRing DirectSum SetLike Finset variable {ι σ A : Type*} variable [CommRing A] variable [LinearOrderedCancelAddCommMonoid ι] variable [SetLike σ A] [AddSubmonoidClass σ A] {𝒜 : ι → σ} [GradedRing 𝒜] -- Porting note: This proof needs a long time to elaborate theorem Ideal.IsHomogeneous.isPrime_of_homogeneous_mem_or_mem {I : Ideal A} (hI : I.IsHomogeneous 𝒜) (I_ne_top : I ≠ ⊤) (homogeneous_mem_or_mem : ∀ {x y : A}, Homogeneous 𝒜 x → Homogeneous 𝒜 y → x * y ∈ I → x ∈ I ∨ y ∈ I) : Ideal.IsPrime I := ⟨I_ne_top, by intro x y hxy by_contra! rid obtain ⟨rid₁, rid₂⟩ := rid classical set set₁ := (decompose 𝒜 x).support.filter (fun i => proj 𝒜 i x ∉ I) with set₁_eq set set₂ := (decompose 𝒜 y).support.filter (fun i => proj 𝒜 i y ∉ I) with set₂_eq have nonempty : ∀ x : A, x ∉ I → ((decompose 𝒜 x).support.filter (fun i => proj 𝒜 i x ∉ I)).Nonempty := by intro x hx rw [filter_nonempty_iff] contrapose! hx simp_rw [proj_apply] at hx rw [← sum_support_decompose 𝒜 x] exact Ideal.sum_mem _ hx set max₁ := set₁.max' (nonempty x rid₁) set max₂ := set₂.max' (nonempty y rid₂) have mem_max₁ : max₁ ∈ set₁ := max'_mem set₁ (nonempty x rid₁) have mem_max₂ : max₂ ∈ set₂ := max'_mem set₂ (nonempty y rid₂) replace hxy : proj 𝒜 (max₁ + max₂) (x * y) ∈ I := hI _ hxy have mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∈ I := by set antidiag := ((decompose 𝒜 x).support ×ˢ (decompose 𝒜 y).support).filter (fun z : ι × ι => z.1 + z.2 = max₁ + max₂) with ha have mem_antidiag : (max₁, max₂) ∈ antidiag := by simp only [antidiag, add_sum_erase, mem_filter, mem_product] exact ⟨⟨mem_of_mem_filter _ mem_max₁, mem_of_mem_filter _ mem_max₂⟩, trivial⟩ have eq_add_sum := calc proj 𝒜 (max₁ + max₂) (x * y) = ∑ ij ∈ antidiag, proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := by simp_rw [ha, proj_apply, DirectSum.decompose_mul, DirectSum.coe_mul_apply 𝒜] _ = proj 𝒜 max₁ x * proj 𝒜 max₂ y + ∑ ij ∈ antidiag.erase (max₁, max₂), proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := (add_sum_erase _ _ mem_antidiag).symm rw [eq_sub_of_add_eq eq_add_sum.symm] refine Ideal.sub_mem _ hxy (Ideal.sum_mem _ fun z H => ?_) rcases z with ⟨i, j⟩ simp only [antidiag, mem_erase, Prod.mk.inj_iff, Ne, mem_filter, mem_product] at H rcases H with ⟨H₁, ⟨H₂, H₃⟩, H₄⟩ have max_lt : max₁ < i ∨ max₂ < j := by rcases lt_trichotomy max₁ i with (h | rfl | h) · exact Or.inl h · refine False.elim (H₁ ⟨rfl, add_left_cancel H₄⟩) · apply Or.inr have := add_lt_add_right h j rw [H₄] at this exact lt_of_add_lt_add_left this cases' max_lt with max_lt max_lt · -- in this case `max₁ < i`, then `xᵢ ∈ I`; for otherwise `i ∈ set₁` then `i ≤ max₁`. have not_mem : i ∉ set₁ := fun h => lt_irrefl _ ((max'_lt_iff set₁ (nonempty x rid₁)).mp max_lt i h) rw [set₁_eq] at not_mem simp only [not_and, Classical.not_not, Ne, mem_filter] at not_mem exact Ideal.mul_mem_right _ I (not_mem H₂) · -- in this case `max₂ < j`, then `yⱼ ∈ I`; for otherwise `j ∈ set₂`, then `j ≤ max₂`. have not_mem : j ∉ set₂ := fun h => lt_irrefl _ ((max'_lt_iff set₂ (nonempty y rid₂)).mp max_lt j h) rw [set₂_eq] at not_mem simp only [not_and, Classical.not_not, Ne, mem_filter] at not_mem exact Ideal.mul_mem_left I _ (not_mem H₃) have not_mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∉ I := by have neither_mem : proj 𝒜 max₁ x ∉ I ∧ proj 𝒜 max₂ y ∉ I := by rw [mem_filter] at mem_max₁ mem_max₂ exact ⟨mem_max₁.2, mem_max₂.2⟩ intro _rid cases' homogeneous_mem_or_mem ⟨max₁, SetLike.coe_mem _⟩ ⟨max₂, SetLike.coe_mem _⟩ mem_I with h h · apply neither_mem.1 h · apply neither_mem.2 h exact not_mem_I mem_I⟩ #align ideal.is_homogeneous.is_prime_of_homogeneous_mem_or_mem Ideal.IsHomogeneous.isPrime_of_homogeneous_mem_or_mem theorem Ideal.IsHomogeneous.isPrime_iff {I : Ideal A} (h : I.IsHomogeneous 𝒜) : I.IsPrime ↔ I ≠ ⊤ ∧ ∀ {x y : A}, SetLike.Homogeneous 𝒜 x → SetLike.Homogeneous 𝒜 y → x * y ∈ I → x ∈ I ∨ y ∈ I := ⟨fun HI => ⟨HI.ne_top, fun _ _ hxy => Ideal.IsPrime.mem_or_mem HI hxy⟩, fun ⟨I_ne_top, homogeneous_mem_or_mem⟩ => h.isPrime_of_homogeneous_mem_or_mem I_ne_top @homogeneous_mem_or_mem⟩ #align ideal.is_homogeneous.is_prime_iff Ideal.IsHomogeneous.isPrime_iff theorem Ideal.IsPrime.homogeneousCore {I : Ideal A} (h : I.IsPrime) : (I.homogeneousCore 𝒜).toIdeal.IsPrime := by apply (Ideal.homogeneousCore 𝒜 I).is_homogeneous'.isPrime_of_homogeneous_mem_or_mem · exact ne_top_of_le_ne_top h.ne_top (Ideal.toIdeal_homogeneousCore_le 𝒜 I) rintro x y hx hy hxy have H := h.mem_or_mem (Ideal.toIdeal_homogeneousCore_le 𝒜 I hxy) refine H.imp ?_ ?_ · exact Ideal.mem_homogeneousCore_of_homogeneous_of_mem hx · exact Ideal.mem_homogeneousCore_of_homogeneous_of_mem hy #align ideal.is_prime.homogeneous_core Ideal.IsPrime.homogeneousCore theorem Ideal.IsHomogeneous.radical_eq {I : Ideal A} (hI : I.IsHomogeneous 𝒜) : I.radical = InfSet.sInf { J | Ideal.IsHomogeneous 𝒜 J ∧ I ≤ J ∧ J.IsPrime } := by rw [Ideal.radical_eq_sInf] apply le_antisymm · exact sInf_le_sInf fun J => And.right · refine sInf_le_sInf_of_forall_exists_le ?_ rintro J ⟨HJ₁, HJ₂⟩ refine ⟨(J.homogeneousCore 𝒜).toIdeal, ?_, J.toIdeal_homogeneousCore_le _⟩ refine ⟨HomogeneousIdeal.isHomogeneous _, ?_, HJ₂.homogeneousCore⟩ exact hI.toIdeal_homogeneousCore_eq_self.symm.trans_le (Ideal.homogeneousCore_mono _ HJ₁) #align ideal.is_homogeneous.radical_eq Ideal.IsHomogeneous.radical_eq
Mathlib/RingTheory/GradedAlgebra/Radical.lean
172
175
theorem Ideal.IsHomogeneous.radical {I : Ideal A} (h : I.IsHomogeneous 𝒜) : I.radical.IsHomogeneous 𝒜 := by
rw [h.radical_eq] exact Ideal.IsHomogeneous.sInf fun _ => And.left
import Mathlib.Combinatorics.Quiver.Path import Mathlib.Combinatorics.Quiver.Push #align_import combinatorics.quiver.symmetric from "leanprover-community/mathlib"@"706d88f2b8fdfeb0b22796433d7a6c1a010af9f2" universe v u w v' namespace Quiver -- Porting note: no hasNonemptyInstance linter yet def Symmetrify (V : Type*) := V #align quiver.symmetrify Quiver.Symmetrify instance symmetrifyQuiver (V : Type u) [Quiver V] : Quiver (Symmetrify V) := ⟨fun a b : V ↦ Sum (a ⟶ b) (b ⟶ a)⟩ variable (U V W : Type*) [Quiver.{u + 1} U] [Quiver.{v + 1} V] [Quiver.{w + 1} W] class HasReverse where reverse' : ∀ {a b : V}, (a ⟶ b) → (b ⟶ a) #align quiver.has_reverse Quiver.HasReverse def reverse {V} [Quiver.{v + 1} V] [HasReverse V] {a b : V} : (a ⟶ b) → (b ⟶ a) := HasReverse.reverse' #align quiver.reverse Quiver.reverse class HasInvolutiveReverse extends HasReverse V where inv' : ∀ {a b : V} (f : a ⟶ b), reverse (reverse f) = f #align quiver.has_involutive_reverse Quiver.HasInvolutiveReverse variable {U V W} @[simp] theorem reverse_reverse [h : HasInvolutiveReverse V] {a b : V} (f : a ⟶ b) : reverse (reverse f) = f := by apply h.inv' #align quiver.reverse_reverse Quiver.reverse_reverse @[simp] theorem reverse_inj [h : HasInvolutiveReverse V] {a b : V} (f g : a ⟶ b) : reverse f = reverse g ↔ f = g := by constructor · rintro h simpa using congr_arg Quiver.reverse h · rintro h congr #align quiver.reverse_inj Quiver.reverse_inj theorem eq_reverse_iff [h : HasInvolutiveReverse V] {a b : V} (f : a ⟶ b) (g : b ⟶ a) : f = reverse g ↔ reverse f = g := by rw [← reverse_inj, reverse_reverse] #align quiver.eq_reverse_iff Quiver.eq_reverse_iff instance : HasReverse (Symmetrify V) := ⟨fun e => e.swap⟩ instance : HasInvolutiveReverse (Symmetrify V) where toHasReverse := ⟨fun e ↦ e.swap⟩ inv' e := congr_fun Sum.swap_swap_eq e @[simp] theorem symmetrify_reverse {a b : Symmetrify V} (e : a ⟶ b) : reverse e = e.swap := rfl #align quiver.symmetrify_reverse Quiver.symmetrify_reverse namespace Symmetrify def of : Prefunctor V (Symmetrify V) where obj := id map := Sum.inl #align quiver.symmetrify.of Quiver.Symmetrify.of variable {V' : Type*} [Quiver.{v' + 1} V'] def lift [HasReverse V'] (φ : Prefunctor V V') : Prefunctor (Symmetrify V) V' where obj := φ.obj map f := match f with | Sum.inl g => φ.map g | Sum.inr g => reverse (φ.map g) #align quiver.symmetrify.lift Quiver.Symmetrify.lift
Mathlib/Combinatorics/Quiver/Symmetric.lean
188
194
theorem lift_spec [HasReverse V'] (φ : Prefunctor V V') : Symmetrify.of.comp (Symmetrify.lift φ) = φ := by
fapply Prefunctor.ext · rintro X rfl · rintro X Y f rfl
import Mathlib.Analysis.Calculus.Deriv.Inv import Mathlib.Analysis.NormedSpace.BallAction import Mathlib.Analysis.SpecialFunctions.ExpDeriv import Mathlib.Analysis.InnerProductSpace.Calculus import Mathlib.Analysis.InnerProductSpace.PiL2 import Mathlib.Geometry.Manifold.Algebra.LieGroup import Mathlib.Geometry.Manifold.Instances.Real import Mathlib.Geometry.Manifold.MFDeriv.Basic #align_import geometry.manifold.instances.sphere from "leanprover-community/mathlib"@"0dc4079202c28226b2841a51eb6d3cc2135bb80f" variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] noncomputable section open Metric FiniteDimensional Function open scoped Manifold section StereographicProjection variable (v : E) def stereoToFun (x : E) : (ℝ ∙ v)ᗮ := (2 / ((1 : ℝ) - innerSL ℝ v x)) • orthogonalProjection (ℝ ∙ v)ᗮ x #align stereo_to_fun stereoToFun variable {v} @[simp] theorem stereoToFun_apply (x : E) : stereoToFun v x = (2 / ((1 : ℝ) - innerSL ℝ v x)) • orthogonalProjection (ℝ ∙ v)ᗮ x := rfl #align stereo_to_fun_apply stereoToFun_apply theorem contDiffOn_stereoToFun : ContDiffOn ℝ ⊤ (stereoToFun v) {x : E | innerSL _ v x ≠ (1 : ℝ)} := by refine ContDiffOn.smul ?_ (orthogonalProjection (ℝ ∙ v)ᗮ).contDiff.contDiffOn refine contDiff_const.contDiffOn.div ?_ ?_ · exact (contDiff_const.sub (innerSL ℝ v).contDiff).contDiffOn · intro x h h' exact h (sub_eq_zero.mp h').symm #align cont_diff_on_stereo_to_fun contDiffOn_stereoToFun theorem continuousOn_stereoToFun : ContinuousOn (stereoToFun v) {x : E | innerSL _ v x ≠ (1 : ℝ)} := contDiffOn_stereoToFun.continuousOn #align continuous_on_stereo_to_fun continuousOn_stereoToFun variable (v) def stereoInvFunAux (w : E) : E := (‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) #align stereo_inv_fun_aux stereoInvFunAux variable {v} @[simp] theorem stereoInvFunAux_apply (w : E) : stereoInvFunAux v w = (‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) := rfl #align stereo_inv_fun_aux_apply stereoInvFunAux_apply theorem stereoInvFunAux_mem (hv : ‖v‖ = 1) {w : E} (hw : w ∈ (ℝ ∙ v)ᗮ) : stereoInvFunAux v w ∈ sphere (0 : E) 1 := by have h₁ : (0 : ℝ) < ‖w‖ ^ 2 + 4 := by positivity suffices ‖(4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v‖ = ‖w‖ ^ 2 + 4 by simp only [mem_sphere_zero_iff_norm, norm_smul, Real.norm_eq_abs, abs_inv, this, abs_of_pos h₁, stereoInvFunAux_apply, inv_mul_cancel h₁.ne'] suffices ‖(4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v‖ ^ 2 = (‖w‖ ^ 2 + 4) ^ 2 by simpa [sq_eq_sq_iff_abs_eq_abs, abs_of_pos h₁] using this rw [Submodule.mem_orthogonal_singleton_iff_inner_left] at hw simp [norm_add_sq_real, norm_smul, inner_smul_left, inner_smul_right, hw, mul_pow, Real.norm_eq_abs, hv] ring #align stereo_inv_fun_aux_mem stereoInvFunAux_mem theorem hasFDerivAt_stereoInvFunAux (v : E) : HasFDerivAt (stereoInvFunAux v) (ContinuousLinearMap.id ℝ E) 0 := by have h₀ : HasFDerivAt (fun w : E => ‖w‖ ^ 2) (0 : E →L[ℝ] ℝ) 0 := by convert (hasStrictFDerivAt_norm_sq (0 : E)).hasFDerivAt simp have h₁ : HasFDerivAt (fun w : E => (‖w‖ ^ 2 + 4)⁻¹) (0 : E →L[ℝ] ℝ) 0 := by convert (hasFDerivAt_inv _).comp _ (h₀.add (hasFDerivAt_const 4 0)) <;> simp have h₂ : HasFDerivAt (fun w => (4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) ((4 : ℝ) • ContinuousLinearMap.id ℝ E) 0 := by convert ((hasFDerivAt_const (4 : ℝ) 0).smul (hasFDerivAt_id 0)).add ((h₀.sub (hasFDerivAt_const (4 : ℝ) 0)).smul (hasFDerivAt_const v 0)) using 1 ext w simp convert h₁.smul h₂ using 1 ext w simp #align has_fderiv_at_stereo_inv_fun_aux hasFDerivAt_stereoInvFunAux theorem hasFDerivAt_stereoInvFunAux_comp_coe (v : E) : HasFDerivAt (stereoInvFunAux v ∘ ((↑) : (ℝ ∙ v)ᗮ → E)) (ℝ ∙ v)ᗮ.subtypeL 0 := by have : HasFDerivAt (stereoInvFunAux v) (ContinuousLinearMap.id ℝ E) ((ℝ ∙ v)ᗮ.subtypeL 0) := hasFDerivAt_stereoInvFunAux v convert this.comp (0 : (ℝ ∙ v)ᗮ) (by apply ContinuousLinearMap.hasFDerivAt) #align has_fderiv_at_stereo_inv_fun_aux_comp_coe hasFDerivAt_stereoInvFunAux_comp_coe theorem contDiff_stereoInvFunAux : ContDiff ℝ ⊤ (stereoInvFunAux v) := by have h₀ : ContDiff ℝ ⊤ fun w : E => ‖w‖ ^ 2 := contDiff_norm_sq ℝ have h₁ : ContDiff ℝ ⊤ fun w : E => (‖w‖ ^ 2 + 4)⁻¹ := by refine (h₀.add contDiff_const).inv ?_ intro x nlinarith have h₂ : ContDiff ℝ ⊤ fun w => (4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v := by refine (contDiff_const.smul contDiff_id).add ?_ exact (h₀.sub contDiff_const).smul contDiff_const exact h₁.smul h₂ #align cont_diff_stereo_inv_fun_aux contDiff_stereoInvFunAux def stereoInvFun (hv : ‖v‖ = 1) (w : (ℝ ∙ v)ᗮ) : sphere (0 : E) 1 := ⟨stereoInvFunAux v (w : E), stereoInvFunAux_mem hv w.2⟩ #align stereo_inv_fun stereoInvFun @[simp] theorem stereoInvFun_apply (hv : ‖v‖ = 1) (w : (ℝ ∙ v)ᗮ) : (stereoInvFun hv w : E) = (‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) := rfl #align stereo_inv_fun_apply stereoInvFun_apply
Mathlib/Geometry/Manifold/Instances/Sphere.lean
194
205
theorem stereoInvFun_ne_north_pole (hv : ‖v‖ = 1) (w : (ℝ ∙ v)ᗮ) : stereoInvFun hv w ≠ (⟨v, by simp [hv]⟩ : sphere (0 : E) 1) := by
refine Subtype.coe_ne_coe.1 ?_ rw [← inner_lt_one_iff_real_of_norm_one _ hv] · have hw : ⟪v, w⟫_ℝ = 0 := Submodule.mem_orthogonal_singleton_iff_inner_right.mp w.2 have hw' : (‖(w : E)‖ ^ 2 + 4)⁻¹ * (‖(w : E)‖ ^ 2 - 4) < 1 := by refine (inv_mul_lt_iff' ?_).mpr ?_ · nlinarith linarith simpa [real_inner_comm, inner_add_right, inner_smul_right, real_inner_self_eq_norm_mul_norm, hw, hv] using hw' · simpa using stereoInvFunAux_mem hv w.2
import Mathlib.Topology.Separation #align_import topology.sober from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977" open Set variable {α β : Type*} [TopologicalSpace α] [TopologicalSpace β] section genericPoint def IsGenericPoint (x : α) (S : Set α) : Prop := closure ({x} : Set α) = S #align is_generic_point IsGenericPoint theorem isGenericPoint_def {x : α} {S : Set α} : IsGenericPoint x S ↔ closure ({x} : Set α) = S := Iff.rfl #align is_generic_point_def isGenericPoint_def theorem IsGenericPoint.def {x : α} {S : Set α} (h : IsGenericPoint x S) : closure ({x} : Set α) = S := h #align is_generic_point.def IsGenericPoint.def theorem isGenericPoint_closure {x : α} : IsGenericPoint x (closure ({x} : Set α)) := refl _ #align is_generic_point_closure isGenericPoint_closure variable {x y : α} {S U Z : Set α} theorem isGenericPoint_iff_specializes : IsGenericPoint x S ↔ ∀ y, x ⤳ y ↔ y ∈ S := by simp only [specializes_iff_mem_closure, IsGenericPoint, Set.ext_iff] #align is_generic_point_iff_specializes isGenericPoint_iff_specializes namespace IsGenericPoint theorem specializes_iff_mem (h : IsGenericPoint x S) : x ⤳ y ↔ y ∈ S := isGenericPoint_iff_specializes.1 h y #align is_generic_point.specializes_iff_mem IsGenericPoint.specializes_iff_mem protected theorem specializes (h : IsGenericPoint x S) (h' : y ∈ S) : x ⤳ y := h.specializes_iff_mem.2 h' #align is_generic_point.specializes IsGenericPoint.specializes protected theorem mem (h : IsGenericPoint x S) : x ∈ S := h.specializes_iff_mem.1 specializes_rfl #align is_generic_point.mem IsGenericPoint.mem protected theorem isClosed (h : IsGenericPoint x S) : IsClosed S := h.def ▸ isClosed_closure #align is_generic_point.is_closed IsGenericPoint.isClosed protected theorem isIrreducible (h : IsGenericPoint x S) : IsIrreducible S := h.def ▸ isIrreducible_singleton.closure #align is_generic_point.is_irreducible IsGenericPoint.isIrreducible protected theorem inseparable (h : IsGenericPoint x S) (h' : IsGenericPoint y S) : Inseparable x y := (h.specializes h'.mem).antisymm (h'.specializes h.mem) protected theorem eq [T0Space α] (h : IsGenericPoint x S) (h' : IsGenericPoint y S) : x = y := (h.inseparable h').eq #align is_generic_point.eq IsGenericPoint.eq theorem mem_open_set_iff (h : IsGenericPoint x S) (hU : IsOpen U) : x ∈ U ↔ (S ∩ U).Nonempty := ⟨fun h' => ⟨x, h.mem, h'⟩, fun ⟨_y, hyS, hyU⟩ => (h.specializes hyS).mem_open hU hyU⟩ #align is_generic_point.mem_open_set_iff IsGenericPoint.mem_open_set_iff theorem disjoint_iff (h : IsGenericPoint x S) (hU : IsOpen U) : Disjoint S U ↔ x ∉ U := by rw [h.mem_open_set_iff hU, ← not_disjoint_iff_nonempty_inter, Classical.not_not] #align is_generic_point.disjoint_iff IsGenericPoint.disjoint_iff
Mathlib/Topology/Sober.lean
96
97
theorem mem_closed_set_iff (h : IsGenericPoint x S) (hZ : IsClosed Z) : x ∈ Z ↔ S ⊆ Z := by
rw [← h.def, hZ.closure_subset_iff, singleton_subset_iff]
import Mathlib.Data.Int.Bitwise import Mathlib.Data.Int.Order.Lemmas import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.Basic #align_import data.int.lemmas from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f" open Nat namespace Int theorem le_natCast_sub (m n : ℕ) : (m - n : ℤ) ≤ ↑(m - n : ℕ) := by by_cases h : m ≥ n · exact le_of_eq (Int.ofNat_sub h).symm · simp [le_of_not_ge h, ofNat_le] #align int.le_coe_nat_sub Int.le_natCast_sub -- Porting note (#10618): simp can prove this @[simp] theorem succ_natCast_pos (n : ℕ) : 0 < (n : ℤ) + 1 := lt_add_one_iff.mpr (by simp) #align int.succ_coe_nat_pos Int.succ_natCast_pos variable {a b : ℤ} {n : ℕ} theorem natAbs_eq_iff_sq_eq {a b : ℤ} : a.natAbs = b.natAbs ↔ a ^ 2 = b ^ 2 := by rw [sq, sq] exact natAbs_eq_iff_mul_self_eq #align int.nat_abs_eq_iff_sq_eq Int.natAbs_eq_iff_sq_eq theorem natAbs_lt_iff_sq_lt {a b : ℤ} : a.natAbs < b.natAbs ↔ a ^ 2 < b ^ 2 := by rw [sq, sq] exact natAbs_lt_iff_mul_self_lt #align int.nat_abs_lt_iff_sq_lt Int.natAbs_lt_iff_sq_lt theorem natAbs_le_iff_sq_le {a b : ℤ} : a.natAbs ≤ b.natAbs ↔ a ^ 2 ≤ b ^ 2 := by rw [sq, sq] exact natAbs_le_iff_mul_self_le #align int.nat_abs_le_iff_sq_le Int.natAbs_le_iff_sq_le theorem natAbs_inj_of_nonneg_of_nonneg {a b : ℤ} (ha : 0 ≤ a) (hb : 0 ≤ b) : natAbs a = natAbs b ↔ a = b := by rw [← sq_eq_sq ha hb, ← natAbs_eq_iff_sq_eq] #align int.nat_abs_inj_of_nonneg_of_nonneg Int.natAbs_inj_of_nonneg_of_nonneg
Mathlib/Data/Int/Lemmas.lean
64
67
theorem natAbs_inj_of_nonpos_of_nonpos {a b : ℤ} (ha : a ≤ 0) (hb : b ≤ 0) : natAbs a = natAbs b ↔ a = b := by
simpa only [Int.natAbs_neg, neg_inj] using natAbs_inj_of_nonneg_of_nonneg (neg_nonneg_of_nonpos ha) (neg_nonneg_of_nonpos hb)
import Mathlib.Data.Fintype.Option import Mathlib.Data.Fintype.Perm import Mathlib.Data.Fintype.Prod import Mathlib.GroupTheory.Perm.Sign import Mathlib.Logic.Equiv.Option #align_import group_theory.perm.option from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395" open Equiv @[simp] theorem Equiv.optionCongr_one {α : Type*} : (1 : Perm α).optionCongr = 1 := Equiv.optionCongr_refl #align equiv.option_congr_one Equiv.optionCongr_one @[simp] theorem Equiv.optionCongr_swap {α : Type*} [DecidableEq α] (x y : α) : optionCongr (swap x y) = swap (some x) (some y) := by ext (_ | i) · simp [swap_apply_of_ne_of_ne] · by_cases hx : i = x · simp only [hx, optionCongr_apply, Option.map_some', swap_apply_left, Option.mem_def, Option.some.injEq] by_cases hy : i = y <;> simp [hx, hy, swap_apply_of_ne_of_ne] #align equiv.option_congr_swap Equiv.optionCongr_swap @[simp] theorem Equiv.optionCongr_sign {α : Type*} [DecidableEq α] [Fintype α] (e : Perm α) : Perm.sign e.optionCongr = Perm.sign e := by refine Perm.swap_induction_on e ?_ ?_ · simp [Perm.one_def] · intro f x y hne h simp [h, hne, Perm.mul_def, ← Equiv.optionCongr_trans] #align equiv.option_congr_sign Equiv.optionCongr_sign @[simp]
Mathlib/GroupTheory/Perm/Option.lean
47
58
theorem map_equiv_removeNone {α : Type*} [DecidableEq α] (σ : Perm (Option α)) : (removeNone σ).optionCongr = swap none (σ none) * σ := by
ext1 x have : Option.map (⇑(removeNone σ)) x = (swap none (σ none)) (σ x) := by cases' x with x · simp · cases h : σ (some _) · simp [removeNone_none _ h] · have hn : σ (some x) ≠ none := by simp [h] have hσn : σ (some x) ≠ σ none := σ.injective.ne (by simp) simp [removeNone_some _ ⟨_, h⟩, ← h, swap_apply_of_ne_of_ne hn hσn] simpa using this
import Mathlib.Data.List.Cycle import Mathlib.GroupTheory.Perm.Cycle.Type import Mathlib.GroupTheory.Perm.List #align_import group_theory.perm.cycle.concrete from "leanprover-community/mathlib"@"00638177efd1b2534fc5269363ebf42a7871df9a" open Equiv Equiv.Perm List variable {α : Type*} namespace Equiv.Perm section Fintype variable [Fintype α] [DecidableEq α] (p : Equiv.Perm α) (x : α) def toList : List α := (List.range (cycleOf p x).support.card).map fun k => (p ^ k) x #align equiv.perm.to_list Equiv.Perm.toList @[simp] theorem toList_one : toList (1 : Perm α) x = [] := by simp [toList, cycleOf_one] #align equiv.perm.to_list_one Equiv.Perm.toList_one @[simp] theorem toList_eq_nil_iff {p : Perm α} {x} : toList p x = [] ↔ x ∉ p.support := by simp [toList] #align equiv.perm.to_list_eq_nil_iff Equiv.Perm.toList_eq_nil_iff @[simp]
Mathlib/GroupTheory/Perm/Cycle/Concrete.lean
229
229
theorem length_toList : length (toList p x) = (cycleOf p x).support.card := by
simp [toList]
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
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
208
212
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]
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 ContravariantLE variable [Mul α] [Preorder α] variable [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (Function.swap HMul.hMul) LE.le] @[to_additive Icc_add_Icc_subset]
Mathlib/Data/Set/Pointwise/Interval.lean
46
48
theorem Icc_mul_Icc_subset' (a b c d : α) : Icc a b * Icc c d ⊆ Icc (a * c) (b * d) := by
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩ exact ⟨mul_le_mul' hya hzc, mul_le_mul' hyb hzd⟩
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]
Mathlib/Order/Interval/Finset/Basic.lean
134
134
theorem left_mem_Icc : a ∈ Icc a b ↔ a ≤ b := by
simp only [mem_Icc, true_and_iff, le_rfl]
import Mathlib.Data.ENNReal.Real import Mathlib.Order.Interval.Finset.Nat import Mathlib.Topology.UniformSpace.Pi import Mathlib.Topology.UniformSpace.UniformConvergence import Mathlib.Topology.UniformSpace.UniformEmbedding #align_import topology.metric_space.emetric_space from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328" open Set Filter Classical open scoped Uniformity Topology Filter NNReal ENNReal Pointwise universe u v w variable {α : Type u} {β : Type v} {X : Type*} theorem uniformity_dist_of_mem_uniformity [LinearOrder β] {U : Filter (α × α)} (z : β) (D : α → α → β) (H : ∀ s, s ∈ U ↔ ∃ ε > z, ∀ {a b : α}, D a b < ε → (a, b) ∈ s) : U = ⨅ ε > z, 𝓟 { p : α × α | D p.1 p.2 < ε } := HasBasis.eq_biInf ⟨fun s => by simp only [H, subset_def, Prod.forall, mem_setOf]⟩ #align uniformity_dist_of_mem_uniformity uniformity_dist_of_mem_uniformity @[ext] class EDist (α : Type*) where edist : α → α → ℝ≥0∞ #align has_edist EDist export EDist (edist) def uniformSpaceOfEDist (edist : α → α → ℝ≥0∞) (edist_self : ∀ x : α, edist x x = 0) (edist_comm : ∀ x y : α, edist x y = edist y x) (edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z) : UniformSpace α := .ofFun edist edist_self edist_comm edist_triangle fun ε ε0 => ⟨ε / 2, ENNReal.half_pos ε0.ne', fun _ h₁ _ h₂ => (ENNReal.add_lt_add h₁ h₂).trans_eq (ENNReal.add_halves _)⟩ #align uniform_space_of_edist uniformSpaceOfEDist -- the uniform structure is embedded in the emetric space structure -- to avoid instance diamond issues. See Note [forgetful inheritance]. class PseudoEMetricSpace (α : Type u) extends EDist α : Type u where edist_self : ∀ x : α, edist x x = 0 edist_comm : ∀ x y : α, edist x y = edist y x edist_triangle : ∀ x y z : α, edist x z ≤ edist x y + edist y z toUniformSpace : UniformSpace α := uniformSpaceOfEDist edist edist_self edist_comm edist_triangle uniformity_edist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := by rfl #align pseudo_emetric_space PseudoEMetricSpace attribute [instance] PseudoEMetricSpace.toUniformSpace @[ext] protected theorem PseudoEMetricSpace.ext {α : Type*} {m m' : PseudoEMetricSpace α} (h : m.toEDist = m'.toEDist) : m = m' := by cases' m with ed _ _ _ U hU cases' m' with ed' _ _ _ U' hU' congr 1 exact UniformSpace.ext (((show ed = ed' from h) ▸ hU).trans hU'.symm) variable [PseudoEMetricSpace α] export PseudoEMetricSpace (edist_self edist_comm edist_triangle) attribute [simp] edist_self theorem edist_triangle_left (x y z : α) : edist x y ≤ edist z x + edist z y := by rw [edist_comm z]; apply edist_triangle #align edist_triangle_left edist_triangle_left theorem edist_triangle_right (x y z : α) : edist x y ≤ edist x z + edist y z := by rw [edist_comm y]; apply edist_triangle #align edist_triangle_right edist_triangle_right theorem edist_congr_right {x y z : α} (h : edist x y = 0) : edist x z = edist y z := by apply le_antisymm · rw [← zero_add (edist y z), ← h] apply edist_triangle · rw [edist_comm] at h rw [← zero_add (edist x z), ← h] apply edist_triangle #align edist_congr_right edist_congr_right theorem edist_congr_left {x y z : α} (h : edist x y = 0) : edist z x = edist z y := by rw [edist_comm z x, edist_comm z y] apply edist_congr_right h #align edist_congr_left edist_congr_left -- new theorem theorem edist_congr {w x y z : α} (hl : edist w x = 0) (hr : edist y z = 0) : edist w y = edist x z := (edist_congr_right hl).trans (edist_congr_left hr) theorem edist_triangle4 (x y z t : α) : edist x t ≤ edist x y + edist y z + edist z t := calc edist x t ≤ edist x z + edist z t := edist_triangle x z t _ ≤ edist x y + edist y z + edist z t := add_le_add_right (edist_triangle x y z) _ #align edist_triangle4 edist_triangle4 theorem edist_le_Ico_sum_edist (f : ℕ → α) {m n} (h : m ≤ n) : edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, edist (f i) (f (i + 1)) := by induction n, h using Nat.le_induction with | base => rw [Finset.Ico_self, Finset.sum_empty, edist_self] | succ n hle ihn => calc edist (f m) (f (n + 1)) ≤ edist (f m) (f n) + edist (f n) (f (n + 1)) := edist_triangle _ _ _ _ ≤ (∑ i ∈ Finset.Ico m n, _) + _ := add_le_add ihn le_rfl _ = ∑ i ∈ Finset.Ico m (n + 1), _ := by { rw [Nat.Ico_succ_right_eq_insert_Ico hle, Finset.sum_insert, add_comm]; simp } #align edist_le_Ico_sum_edist edist_le_Ico_sum_edist theorem edist_le_range_sum_edist (f : ℕ → α) (n : ℕ) : edist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, edist (f i) (f (i + 1)) := Nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_edist f (Nat.zero_le n) #align edist_le_range_sum_edist edist_le_range_sum_edist theorem edist_le_Ico_sum_of_edist_le {f : ℕ → α} {m n} (hmn : m ≤ n) {d : ℕ → ℝ≥0∞} (hd : ∀ {k}, m ≤ k → k < n → edist (f k) (f (k + 1)) ≤ d k) : edist (f m) (f n) ≤ ∑ i ∈ Finset.Ico m n, d i := le_trans (edist_le_Ico_sum_edist f hmn) <| Finset.sum_le_sum fun _k hk => hd (Finset.mem_Ico.1 hk).1 (Finset.mem_Ico.1 hk).2 #align edist_le_Ico_sum_of_edist_le edist_le_Ico_sum_of_edist_le theorem edist_le_range_sum_of_edist_le {f : ℕ → α} (n : ℕ) {d : ℕ → ℝ≥0∞} (hd : ∀ {k}, k < n → edist (f k) (f (k + 1)) ≤ d k) : edist (f 0) (f n) ≤ ∑ i ∈ Finset.range n, d i := Nat.Ico_zero_eq_range ▸ edist_le_Ico_sum_of_edist_le (zero_le n) fun _ => hd #align edist_le_range_sum_of_edist_le edist_le_range_sum_of_edist_le theorem uniformity_pseudoedist : 𝓤 α = ⨅ ε > 0, 𝓟 { p : α × α | edist p.1 p.2 < ε } := PseudoEMetricSpace.uniformity_edist #align uniformity_pseudoedist uniformity_pseudoedist theorem uniformSpace_edist : ‹PseudoEMetricSpace α›.toUniformSpace = uniformSpaceOfEDist edist edist_self edist_comm edist_triangle := UniformSpace.ext uniformity_pseudoedist #align uniform_space_edist uniformSpace_edist theorem uniformity_basis_edist : (𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 < ε } := (@uniformSpace_edist α _).symm ▸ UniformSpace.hasBasis_ofFun ⟨1, one_pos⟩ _ _ _ _ _ #align uniformity_basis_edist uniformity_basis_edist theorem mem_uniformity_edist {s : Set (α × α)} : s ∈ 𝓤 α ↔ ∃ ε > 0, ∀ {a b : α}, edist a b < ε → (a, b) ∈ s := uniformity_basis_edist.mem_uniformity_iff #align mem_uniformity_edist mem_uniformity_edist protected theorem EMetric.mk_uniformity_basis {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞} (hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) : (𝓤 α).HasBasis p fun x => { p : α × α | edist p.1 p.2 < f x } := by refine ⟨fun s => uniformity_basis_edist.mem_iff.trans ?_⟩ constructor · rintro ⟨ε, ε₀, hε⟩ rcases hf ε ε₀ with ⟨i, hi, H⟩ exact ⟨i, hi, fun x hx => hε <| lt_of_lt_of_le hx.out H⟩ · exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, H⟩ #align emetric.mk_uniformity_basis EMetric.mk_uniformity_basis protected theorem EMetric.mk_uniformity_basis_le {β : Type*} {p : β → Prop} {f : β → ℝ≥0∞} (hf₀ : ∀ x, p x → 0 < f x) (hf : ∀ ε, 0 < ε → ∃ x, p x ∧ f x ≤ ε) : (𝓤 α).HasBasis p fun x => { p : α × α | edist p.1 p.2 ≤ f x } := by refine ⟨fun s => uniformity_basis_edist.mem_iff.trans ?_⟩ constructor · rintro ⟨ε, ε₀, hε⟩ rcases exists_between ε₀ with ⟨ε', hε'⟩ rcases hf ε' hε'.1 with ⟨i, hi, H⟩ exact ⟨i, hi, fun x hx => hε <| lt_of_le_of_lt (le_trans hx.out H) hε'.2⟩ · exact fun ⟨i, hi, H⟩ => ⟨f i, hf₀ i hi, fun x hx => H (le_of_lt hx.out)⟩ #align emetric.mk_uniformity_basis_le EMetric.mk_uniformity_basis_le theorem uniformity_basis_edist_le : (𝓤 α).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 ≤ ε } := EMetric.mk_uniformity_basis_le (fun _ => id) fun ε ε₀ => ⟨ε, ε₀, le_refl ε⟩ #align uniformity_basis_edist_le uniformity_basis_edist_le theorem uniformity_basis_edist' (ε' : ℝ≥0∞) (hε' : 0 < ε') : (𝓤 α).HasBasis (fun ε : ℝ≥0∞ => ε ∈ Ioo 0 ε') fun ε => { p : α × α | edist p.1 p.2 < ε } := EMetric.mk_uniformity_basis (fun _ => And.left) fun ε ε₀ => let ⟨δ, hδ⟩ := exists_between hε' ⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩ #align uniformity_basis_edist' uniformity_basis_edist' theorem uniformity_basis_edist_le' (ε' : ℝ≥0∞) (hε' : 0 < ε') : (𝓤 α).HasBasis (fun ε : ℝ≥0∞ => ε ∈ Ioo 0 ε') fun ε => { p : α × α | edist p.1 p.2 ≤ ε } := EMetric.mk_uniformity_basis_le (fun _ => And.left) fun ε ε₀ => let ⟨δ, hδ⟩ := exists_between hε' ⟨min ε δ, ⟨lt_min ε₀ hδ.1, lt_of_le_of_lt (min_le_right _ _) hδ.2⟩, min_le_left _ _⟩ #align uniformity_basis_edist_le' uniformity_basis_edist_le' theorem uniformity_basis_edist_nnreal : (𝓤 α).HasBasis (fun ε : ℝ≥0 => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 < ε } := EMetric.mk_uniformity_basis (fun _ => ENNReal.coe_pos.2) fun _ε ε₀ => let ⟨δ, hδ⟩ := ENNReal.lt_iff_exists_nnreal_btwn.1 ε₀ ⟨δ, ENNReal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩ #align uniformity_basis_edist_nnreal uniformity_basis_edist_nnreal theorem uniformity_basis_edist_nnreal_le : (𝓤 α).HasBasis (fun ε : ℝ≥0 => 0 < ε) fun ε => { p : α × α | edist p.1 p.2 ≤ ε } := EMetric.mk_uniformity_basis_le (fun _ => ENNReal.coe_pos.2) fun _ε ε₀ => let ⟨δ, hδ⟩ := ENNReal.lt_iff_exists_nnreal_btwn.1 ε₀ ⟨δ, ENNReal.coe_pos.1 hδ.1, le_of_lt hδ.2⟩ #align uniformity_basis_edist_nnreal_le uniformity_basis_edist_nnreal_le theorem uniformity_basis_edist_inv_nat : (𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | edist p.1 p.2 < (↑n)⁻¹ } := EMetric.mk_uniformity_basis (fun n _ ↦ ENNReal.inv_pos.2 <| ENNReal.natCast_ne_top n) fun _ε ε₀ ↦ let ⟨n, hn⟩ := ENNReal.exists_inv_nat_lt (ne_of_gt ε₀) ⟨n, trivial, le_of_lt hn⟩ #align uniformity_basis_edist_inv_nat uniformity_basis_edist_inv_nat theorem uniformity_basis_edist_inv_two_pow : (𝓤 α).HasBasis (fun _ => True) fun n : ℕ => { p : α × α | edist p.1 p.2 < 2⁻¹ ^ n } := EMetric.mk_uniformity_basis (fun _ _ => ENNReal.pow_pos (ENNReal.inv_pos.2 ENNReal.two_ne_top) _) fun _ε ε₀ => let ⟨n, hn⟩ := ENNReal.exists_inv_two_pow_lt (ne_of_gt ε₀) ⟨n, trivial, le_of_lt hn⟩ #align uniformity_basis_edist_inv_two_pow uniformity_basis_edist_inv_two_pow theorem edist_mem_uniformity {ε : ℝ≥0∞} (ε0 : 0 < ε) : { p : α × α | edist p.1 p.2 < ε } ∈ 𝓤 α := mem_uniformity_edist.2 ⟨ε, ε0, id⟩ #align edist_mem_uniformity edist_mem_uniformity open EMetric def PseudoEMetricSpace.replaceUniformity {α} [U : UniformSpace α] (m : PseudoEMetricSpace α) (H : 𝓤[U] = 𝓤[PseudoEMetricSpace.toUniformSpace]) : PseudoEMetricSpace α where edist := @edist _ m.toEDist edist_self := edist_self edist_comm := edist_comm edist_triangle := edist_triangle toUniformSpace := U uniformity_edist := H.trans (@PseudoEMetricSpace.uniformity_edist α _) #align pseudo_emetric_space.replace_uniformity PseudoEMetricSpace.replaceUniformity def PseudoEMetricSpace.induced {α β} (f : α → β) (m : PseudoEMetricSpace β) : PseudoEMetricSpace α where edist x y := edist (f x) (f y) edist_self _ := edist_self _ edist_comm _ _ := edist_comm _ _ edist_triangle _ _ _ := edist_triangle _ _ _ toUniformSpace := UniformSpace.comap f m.toUniformSpace uniformity_edist := (uniformity_basis_edist.comap (Prod.map f f)).eq_biInf #align pseudo_emetric_space.induced PseudoEMetricSpace.induced instance {α : Type*} {p : α → Prop} [PseudoEMetricSpace α] : PseudoEMetricSpace (Subtype p) := PseudoEMetricSpace.induced Subtype.val ‹_› theorem Subtype.edist_eq {p : α → Prop} (x y : Subtype p) : edist x y = edist (x : α) y := rfl #align subtype.edist_eq Subtype.edist_eq instance Prod.pseudoEMetricSpaceMax [PseudoEMetricSpace β] : PseudoEMetricSpace (α × β) where edist x y := edist x.1 y.1 ⊔ edist x.2 y.2 edist_self x := by simp edist_comm x y := by simp [edist_comm] edist_triangle x y z := max_le (le_trans (edist_triangle _ _ _) (add_le_add (le_max_left _ _) (le_max_left _ _))) (le_trans (edist_triangle _ _ _) (add_le_add (le_max_right _ _) (le_max_right _ _))) uniformity_edist := uniformity_prod.trans <| by simp [PseudoEMetricSpace.uniformity_edist, ← iInf_inf_eq, setOf_and] toUniformSpace := inferInstance #align prod.pseudo_emetric_space_max Prod.pseudoEMetricSpaceMax theorem Prod.edist_eq [PseudoEMetricSpace β] (x y : α × β) : edist x y = max (edist x.1 y.1) (edist x.2 y.2) := rfl #align prod.edist_eq Prod.edist_eq namespace EMetric variable {x y z : α} {ε ε₁ ε₂ : ℝ≥0∞} {s t : Set α} def ball (x : α) (ε : ℝ≥0∞) : Set α := { y | edist y x < ε } #align emetric.ball EMetric.ball @[simp] theorem mem_ball : y ∈ ball x ε ↔ edist y x < ε := Iff.rfl #align emetric.mem_ball EMetric.mem_ball theorem mem_ball' : y ∈ ball x ε ↔ edist x y < ε := by rw [edist_comm, mem_ball] #align emetric.mem_ball' EMetric.mem_ball' def closedBall (x : α) (ε : ℝ≥0∞) := { y | edist y x ≤ ε } #align emetric.closed_ball EMetric.closedBall @[simp] theorem mem_closedBall : y ∈ closedBall x ε ↔ edist y x ≤ ε := Iff.rfl #align emetric.mem_closed_ball EMetric.mem_closedBall theorem mem_closedBall' : y ∈ closedBall x ε ↔ edist x y ≤ ε := by rw [edist_comm, mem_closedBall] #align emetric.mem_closed_ball' EMetric.mem_closedBall' @[simp] theorem closedBall_top (x : α) : closedBall x ∞ = univ := eq_univ_of_forall fun _ => mem_setOf.2 le_top #align emetric.closed_ball_top EMetric.closedBall_top theorem ball_subset_closedBall : ball x ε ⊆ closedBall x ε := fun _ h => le_of_lt h.out #align emetric.ball_subset_closed_ball EMetric.ball_subset_closedBall theorem pos_of_mem_ball (hy : y ∈ ball x ε) : 0 < ε := lt_of_le_of_lt (zero_le _) hy #align emetric.pos_of_mem_ball EMetric.pos_of_mem_ball theorem mem_ball_self (h : 0 < ε) : x ∈ ball x ε := by rwa [mem_ball, edist_self] #align emetric.mem_ball_self EMetric.mem_ball_self theorem mem_closedBall_self : x ∈ closedBall x ε := by rw [mem_closedBall, edist_self]; apply zero_le #align emetric.mem_closed_ball_self EMetric.mem_closedBall_self theorem mem_ball_comm : x ∈ ball y ε ↔ y ∈ ball x ε := by rw [mem_ball', mem_ball] #align emetric.mem_ball_comm EMetric.mem_ball_comm theorem mem_closedBall_comm : x ∈ closedBall y ε ↔ y ∈ closedBall x ε := by rw [mem_closedBall', mem_closedBall] #align emetric.mem_closed_ball_comm EMetric.mem_closedBall_comm @[gcongr] theorem ball_subset_ball (h : ε₁ ≤ ε₂) : ball x ε₁ ⊆ ball x ε₂ := fun _y (yx : _ < ε₁) => lt_of_lt_of_le yx h #align emetric.ball_subset_ball EMetric.ball_subset_ball @[gcongr] theorem closedBall_subset_closedBall (h : ε₁ ≤ ε₂) : closedBall x ε₁ ⊆ closedBall x ε₂ := fun _y (yx : _ ≤ ε₁) => le_trans yx h #align emetric.closed_ball_subset_closed_ball EMetric.closedBall_subset_closedBall theorem ball_disjoint (h : ε₁ + ε₂ ≤ edist x y) : Disjoint (ball x ε₁) (ball y ε₂) := Set.disjoint_left.mpr fun z h₁ h₂ => (edist_triangle_left x y z).not_lt <| (ENNReal.add_lt_add h₁ h₂).trans_le h #align emetric.ball_disjoint EMetric.ball_disjoint theorem ball_subset (h : edist x y + ε₁ ≤ ε₂) (h' : edist x y ≠ ∞) : ball x ε₁ ⊆ ball y ε₂ := fun z zx => calc edist z y ≤ edist z x + edist x y := edist_triangle _ _ _ _ = edist x y + edist z x := add_comm _ _ _ < edist x y + ε₁ := ENNReal.add_lt_add_left h' zx _ ≤ ε₂ := h #align emetric.ball_subset EMetric.ball_subset theorem exists_ball_subset_ball (h : y ∈ ball x ε) : ∃ ε' > 0, ball y ε' ⊆ ball x ε := by have : 0 < ε - edist y x := by simpa using h refine ⟨ε - edist y x, this, ball_subset ?_ (ne_top_of_lt h)⟩ exact (add_tsub_cancel_of_le (mem_ball.mp h).le).le #align emetric.exists_ball_subset_ball EMetric.exists_ball_subset_ball theorem ball_eq_empty_iff : ball x ε = ∅ ↔ ε = 0 := eq_empty_iff_forall_not_mem.trans ⟨fun h => le_bot_iff.1 (le_of_not_gt fun ε0 => h _ (mem_ball_self ε0)), fun ε0 _ h => not_lt_of_le (le_of_eq ε0) (pos_of_mem_ball h)⟩ #align emetric.ball_eq_empty_iff EMetric.ball_eq_empty_iff theorem ordConnected_setOf_closedBall_subset (x : α) (s : Set α) : OrdConnected { r | closedBall x r ⊆ s } := ⟨fun _ _ _ h₁ _ h₂ => (closedBall_subset_closedBall h₂.2).trans h₁⟩ #align emetric.ord_connected_set_of_closed_ball_subset EMetric.ordConnected_setOf_closedBall_subset theorem ordConnected_setOf_ball_subset (x : α) (s : Set α) : OrdConnected { r | ball x r ⊆ s } := ⟨fun _ _ _ h₁ _ h₂ => (ball_subset_ball h₂.2).trans h₁⟩ #align emetric.ord_connected_set_of_ball_subset EMetric.ordConnected_setOf_ball_subset def edistLtTopSetoid : Setoid α where r x y := edist x y < ⊤ iseqv := ⟨fun x => by rw [edist_self]; exact ENNReal.coe_lt_top, fun h => by rwa [edist_comm], fun hxy hyz => lt_of_le_of_lt (edist_triangle _ _ _) (ENNReal.add_lt_top.2 ⟨hxy, hyz⟩)⟩ #align emetric.edist_lt_top_setoid EMetric.edistLtTopSetoid @[simp] theorem ball_zero : ball x 0 = ∅ := by rw [EMetric.ball_eq_empty_iff] #align emetric.ball_zero EMetric.ball_zero theorem nhds_basis_eball : (𝓝 x).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) (ball x) := nhds_basis_uniformity uniformity_basis_edist #align emetric.nhds_basis_eball EMetric.nhds_basis_eball theorem nhdsWithin_basis_eball : (𝓝[s] x).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => ball x ε ∩ s := nhdsWithin_hasBasis nhds_basis_eball s #align emetric.nhds_within_basis_eball EMetric.nhdsWithin_basis_eball theorem nhds_basis_closed_eball : (𝓝 x).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) (closedBall x) := nhds_basis_uniformity uniformity_basis_edist_le #align emetric.nhds_basis_closed_eball EMetric.nhds_basis_closed_eball theorem nhdsWithin_basis_closed_eball : (𝓝[s] x).HasBasis (fun ε : ℝ≥0∞ => 0 < ε) fun ε => closedBall x ε ∩ s := nhdsWithin_hasBasis nhds_basis_closed_eball s #align emetric.nhds_within_basis_closed_eball EMetric.nhdsWithin_basis_closed_eball theorem nhds_eq : 𝓝 x = ⨅ ε > 0, 𝓟 (ball x ε) := nhds_basis_eball.eq_biInf #align emetric.nhds_eq EMetric.nhds_eq theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ ε > 0, ball x ε ⊆ s := nhds_basis_eball.mem_iff #align emetric.mem_nhds_iff EMetric.mem_nhds_iff theorem mem_nhdsWithin_iff : s ∈ 𝓝[t] x ↔ ∃ ε > 0, ball x ε ∩ t ⊆ s := nhdsWithin_basis_eball.mem_iff #align emetric.mem_nhds_within_iff EMetric.mem_nhdsWithin_iff section variable [PseudoEMetricSpace β] {f : α → β} theorem tendsto_nhdsWithin_nhdsWithin {t : Set β} {a b} : Tendsto f (𝓝[s] a) (𝓝[t] b) ↔ ∀ ε > 0, ∃ δ > 0, ∀ ⦃x⦄, x ∈ s → edist x a < δ → f x ∈ t ∧ edist (f x) b < ε := (nhdsWithin_basis_eball.tendsto_iff nhdsWithin_basis_eball).trans <| forall₂_congr fun ε _ => exists_congr fun δ => and_congr_right fun _ => forall_congr' fun x => by simp; tauto #align emetric.tendsto_nhds_within_nhds_within EMetric.tendsto_nhdsWithin_nhdsWithin
Mathlib/Topology/EMetricSpace/Basic.lean
689
693
theorem tendsto_nhdsWithin_nhds {a b} : Tendsto f (𝓝[s] a) (𝓝 b) ↔ ∀ ε > 0, ∃ δ > 0, ∀ {x : α}, x ∈ s → edist x a < δ → edist (f x) b < ε := by
rw [← nhdsWithin_univ b, tendsto_nhdsWithin_nhdsWithin] simp only [mem_univ, true_and_iff]
import Mathlib.Order.Filter.EventuallyConst import Mathlib.Order.PartialSups import Mathlib.Algebra.Module.Submodule.IterateMapComap import Mathlib.RingTheory.OrzechProperty import Mathlib.RingTheory.Nilpotent.Lemmas #align_import ring_theory.noetherian from "leanprover-community/mathlib"@"210657c4ea4a4a7b234392f70a3a2a83346dfa90" open Set Filter Pointwise -- Porting note: should this be renamed to `Noetherian`? class IsNoetherian (R M) [Semiring R] [AddCommMonoid M] [Module R M] : Prop where noetherian : ∀ s : Submodule R M, s.FG #align is_noetherian IsNoetherian attribute [inherit_doc IsNoetherian] IsNoetherian.noetherian section variable {R : Type*} {M : Type*} {P : Type*} variable [Semiring R] [AddCommMonoid M] [AddCommMonoid P] variable [Module R M] [Module R P] open IsNoetherian theorem isNoetherian_def : IsNoetherian R M ↔ ∀ s : Submodule R M, s.FG := ⟨fun h => h.noetherian, IsNoetherian.mk⟩ #align is_noetherian_def isNoetherian_def theorem isNoetherian_submodule {N : Submodule R M} : IsNoetherian R N ↔ ∀ s : Submodule R M, s ≤ N → s.FG := by refine ⟨fun ⟨hn⟩ => fun s hs => have : s ≤ LinearMap.range N.subtype := N.range_subtype.symm ▸ hs Submodule.map_comap_eq_self this ▸ (hn _).map _, fun h => ⟨fun s => ?_⟩⟩ have f := (Submodule.equivMapOfInjective N.subtype Subtype.val_injective s).symm have h₁ := h (s.map N.subtype) (Submodule.map_subtype_le N s) have h₂ : (⊤ : Submodule R (s.map N.subtype)).map f = ⊤ := by simp have h₃ := ((Submodule.fg_top _).2 h₁).map (↑f : _ →ₗ[R] s) exact (Submodule.fg_top _).1 (h₂ ▸ h₃) #align is_noetherian_submodule isNoetherian_submodule theorem isNoetherian_submodule_left {N : Submodule R M} : IsNoetherian R N ↔ ∀ s : Submodule R M, (N ⊓ s).FG := isNoetherian_submodule.trans ⟨fun H _ => H _ inf_le_left, fun H _ hs => inf_of_le_right hs ▸ H _⟩ #align is_noetherian_submodule_left isNoetherian_submodule_left theorem isNoetherian_submodule_right {N : Submodule R M} : IsNoetherian R N ↔ ∀ s : Submodule R M, (s ⊓ N).FG := isNoetherian_submodule.trans ⟨fun H _ => H _ inf_le_right, fun H _ hs => inf_of_le_left hs ▸ H _⟩ #align is_noetherian_submodule_right isNoetherian_submodule_right instance isNoetherian_submodule' [IsNoetherian R M] (N : Submodule R M) : IsNoetherian R N := isNoetherian_submodule.2 fun _ _ => IsNoetherian.noetherian _ #align is_noetherian_submodule' isNoetherian_submodule' theorem isNoetherian_of_le {s t : Submodule R M} [ht : IsNoetherian R t] (h : s ≤ t) : IsNoetherian R s := isNoetherian_submodule.mpr fun _ hs' => isNoetherian_submodule.mp ht _ (le_trans hs' h) #align is_noetherian_of_le isNoetherian_of_le variable (M) theorem isNoetherian_of_surjective (f : M →ₗ[R] P) (hf : LinearMap.range f = ⊤) [IsNoetherian R M] : IsNoetherian R P := ⟨fun s => have : (s.comap f).map f = s := Submodule.map_comap_eq_self <| hf.symm ▸ le_top this ▸ (noetherian _).map _⟩ #align is_noetherian_of_surjective isNoetherian_of_surjective variable {M} instance isNoetherian_quotient {R} [Ring R] {M} [AddCommGroup M] [Module R M] (N : Submodule R M) [IsNoetherian R M] : IsNoetherian R (M ⧸ N) := isNoetherian_of_surjective _ _ (LinearMap.range_eq_top.mpr N.mkQ_surjective) #align submodule.quotient.is_noetherian isNoetherian_quotient @[deprecated (since := "2024-04-27"), nolint defLemma] alias Submodule.Quotient.isNoetherian := isNoetherian_quotient theorem isNoetherian_of_linearEquiv (f : M ≃ₗ[R] P) [IsNoetherian R M] : IsNoetherian R P := isNoetherian_of_surjective _ f.toLinearMap f.range #align is_noetherian_of_linear_equiv isNoetherian_of_linearEquiv theorem isNoetherian_top_iff : IsNoetherian R (⊤ : Submodule R M) ↔ IsNoetherian R M := by constructor <;> intro h · exact isNoetherian_of_linearEquiv (LinearEquiv.ofTop (⊤ : Submodule R M) rfl) · exact isNoetherian_of_linearEquiv (LinearEquiv.ofTop (⊤ : Submodule R M) rfl).symm #align is_noetherian_top_iff isNoetherian_top_iff theorem isNoetherian_of_injective [IsNoetherian R P] (f : M →ₗ[R] P) (hf : Function.Injective f) : IsNoetherian R M := isNoetherian_of_linearEquiv (LinearEquiv.ofInjective f hf).symm #align is_noetherian_of_injective isNoetherian_of_injective theorem fg_of_injective [IsNoetherian R P] {N : Submodule R M} (f : M →ₗ[R] P) (hf : Function.Injective f) : N.FG := haveI := isNoetherian_of_injective f hf IsNoetherian.noetherian N #align fg_of_injective fg_of_injective end section variable {R : Type*} {M : Type*} {P : Type*} variable [Ring R] [AddCommGroup M] [AddCommGroup P] variable [Module R M] [Module R P] open IsNoetherian theorem isNoetherian_of_ker_bot [IsNoetherian R P] (f : M →ₗ[R] P) (hf : LinearMap.ker f = ⊥) : IsNoetherian R M := isNoetherian_of_linearEquiv (LinearEquiv.ofInjective f <| LinearMap.ker_eq_bot.mp hf).symm #align is_noetherian_of_ker_bot isNoetherian_of_ker_bot theorem fg_of_ker_bot [IsNoetherian R P] {N : Submodule R M} (f : M →ₗ[R] P) (hf : LinearMap.ker f = ⊥) : N.FG := haveI := isNoetherian_of_ker_bot f hf IsNoetherian.noetherian N #align fg_of_ker_bot fg_of_ker_bot instance isNoetherian_prod [IsNoetherian R M] [IsNoetherian R P] : IsNoetherian R (M × P) := ⟨fun s => Submodule.fg_of_fg_map_of_fg_inf_ker (LinearMap.snd R M P) (noetherian _) <| have : s ⊓ LinearMap.ker (LinearMap.snd R M P) ≤ LinearMap.range (LinearMap.inl R M P) := fun x ⟨_, hx2⟩ => ⟨x.1, Prod.ext rfl <| Eq.symm <| LinearMap.mem_ker.1 hx2⟩ Submodule.map_comap_eq_self this ▸ (noetherian _).map _⟩ #align is_noetherian_prod isNoetherian_prod instance isNoetherian_pi {R ι : Type*} {M : ι → Type*} [Ring R] [∀ i, AddCommGroup (M i)] [∀ i, Module R (M i)] [Finite ι] [∀ i, IsNoetherian R (M i)] : IsNoetherian R (∀ i, M i) := by cases nonempty_fintype ι haveI := Classical.decEq ι suffices on_finset : ∀ s : Finset ι, IsNoetherian R (∀ i : s, M i) by let coe_e := Equiv.subtypeUnivEquiv <| @Finset.mem_univ ι _ letI : IsNoetherian R (∀ i : Finset.univ, M (coe_e i)) := on_finset Finset.univ exact isNoetherian_of_linearEquiv (LinearEquiv.piCongrLeft R M coe_e) intro s induction' s using Finset.induction with a s has ih · exact ⟨fun s => by have : s = ⊥ := by simp only [eq_iff_true_of_subsingleton] rw [this] apply Submodule.fg_bot⟩ refine @isNoetherian_of_linearEquiv R (M a × ((i : s) → M i)) _ _ _ _ _ _ ?_ <| @isNoetherian_prod R (M a) _ _ _ _ _ _ _ ih refine { toFun := fun f i => (Finset.mem_insert.1 i.2).by_cases (fun h : i.1 = a => show M i.1 from Eq.recOn h.symm f.1) (fun h : i.1 ∈ s => show M i.1 from f.2 ⟨i.1, h⟩), invFun := fun f => (f ⟨a, Finset.mem_insert_self _ _⟩, fun i => f ⟨i.1, Finset.mem_insert_of_mem i.2⟩), map_add' := ?_, map_smul' := ?_ left_inv := ?_, right_inv := ?_ } · intro f g ext i unfold Or.by_cases cases' i with i hi rcases Finset.mem_insert.1 hi with (rfl | h) · change _ = _ + _ simp only [dif_pos] rfl · change _ = _ + _ have : ¬i = a := by rintro rfl exact has h simp only [dif_neg this, dif_pos h] rfl · intro c f ext i unfold Or.by_cases cases' i with i hi rcases Finset.mem_insert.1 hi with (rfl | h) · dsimp simp only [dif_pos] · dsimp have : ¬i = a := by rintro rfl exact has h simp only [dif_neg this, dif_pos h] · intro f apply Prod.ext · simp only [Or.by_cases, dif_pos] · ext ⟨i, his⟩ have : ¬i = a := by rintro rfl exact has his simp only [Or.by_cases, this, not_false_iff, dif_neg] · intro f ext ⟨i, hi⟩ rcases Finset.mem_insert.1 hi with (rfl | h) · simp only [Or.by_cases, dif_pos] · have : ¬i = a := by rintro rfl exact has h simp only [Or.by_cases, dif_neg this, dif_pos h] #align is_noetherian_pi isNoetherian_pi instance isNoetherian_pi' {R ι M : Type*} [Ring R] [AddCommGroup M] [Module R M] [Finite ι] [IsNoetherian R M] : IsNoetherian R (ι → M) := isNoetherian_pi #align is_noetherian_pi' isNoetherian_pi' end open IsNoetherian Submodule Function section universe w variable {R M P : Type*} {N : Type w} [Semiring R] [AddCommMonoid M] [Module R M] [AddCommMonoid N] [Module R N] [AddCommMonoid P] [Module R P] theorem isNoetherian_iff_wellFounded : IsNoetherian R M ↔ WellFounded ((· > ·) : Submodule R M → Submodule R M → Prop) := by have := (CompleteLattice.wellFounded_characterisations <| Submodule R M).out 0 3 -- Porting note: inlining this makes rw complain about it being a metavariable rw [this] exact ⟨fun ⟨h⟩ => fun k => (fg_iff_compact k).mp (h k), fun h => ⟨fun k => (fg_iff_compact k).mpr (h k)⟩⟩ #align is_noetherian_iff_well_founded isNoetherian_iff_wellFounded theorem isNoetherian_iff_fg_wellFounded : IsNoetherian R M ↔ WellFounded ((· > ·) : { N : Submodule R M // N.FG } → { N : Submodule R M // N.FG } → Prop) := by let α := { N : Submodule R M // N.FG } constructor · intro H let f : α ↪o Submodule R M := OrderEmbedding.subtype _ exact OrderEmbedding.wellFounded f.dual (isNoetherian_iff_wellFounded.mp H) · intro H constructor intro N obtain ⟨⟨N₀, h₁⟩, e : N₀ ≤ N, h₂⟩ := WellFounded.has_min H { N' : α | N'.1 ≤ N } ⟨⟨⊥, Submodule.fg_bot⟩, @bot_le _ _ _ N⟩ convert h₁ refine (e.antisymm ?_).symm by_contra h₃ obtain ⟨x, hx₁ : x ∈ N, hx₂ : x ∉ N₀⟩ := Set.not_subset.mp h₃ apply hx₂ rw [eq_of_le_of_not_lt (le_sup_right : N₀ ≤ _) (h₂ ⟨_, Submodule.FG.sup ⟨{x}, by rw [Finset.coe_singleton]⟩ h₁⟩ <| sup_le ((Submodule.span_singleton_le_iff_mem _ _).mpr hx₁) e)] exact (le_sup_left : (R ∙ x) ≤ _) (Submodule.mem_span_singleton_self _) #align is_noetherian_iff_fg_well_founded isNoetherian_iff_fg_wellFounded variable (R M) theorem wellFounded_submodule_gt (R M) [Semiring R] [AddCommMonoid M] [Module R M] : ∀ [IsNoetherian R M], WellFounded ((· > ·) : Submodule R M → Submodule R M → Prop) := isNoetherian_iff_wellFounded.mp ‹_› #align well_founded_submodule_gt wellFounded_submodule_gt variable {R M} theorem set_has_maximal_iff_noetherian : (∀ a : Set <| Submodule R M, a.Nonempty → ∃ M' ∈ a, ∀ I ∈ a, ¬M' < I) ↔ IsNoetherian R M := by rw [isNoetherian_iff_wellFounded, WellFounded.wellFounded_iff_has_min] #align set_has_maximal_iff_noetherian set_has_maximal_iff_noetherian theorem monotone_stabilizes_iff_noetherian : (∀ f : ℕ →o Submodule R M, ∃ n, ∀ m, n ≤ m → f n = f m) ↔ IsNoetherian R M := by rw [isNoetherian_iff_wellFounded, WellFounded.monotone_chain_condition] #align monotone_stabilizes_iff_noetherian monotone_stabilizes_iff_noetherian
Mathlib/RingTheory/Noetherian.lean
370
373
theorem eventuallyConst_of_isNoetherian [IsNoetherian R M] (f : ℕ →o Submodule R M) : atTop.EventuallyConst f := by
simp_rw [eventuallyConst_atTop, eq_comm] exact (monotone_stabilizes_iff_noetherian.mpr inferInstance) f
import Mathlib.MeasureTheory.PiSystem import Mathlib.Order.OmegaCompletePartialOrder import Mathlib.Topology.Constructions import Mathlib.MeasureTheory.MeasurableSpace.Basic open Set namespace MeasureTheory variable {ι : Type _} {α : ι → Type _} section cylinder def cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : Set (∀ i, α i) := (fun (f : ∀ i, α i) (i : s) ↦ f i) ⁻¹' S @[simp] theorem mem_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) (f : ∀ i, α i) : f ∈ cylinder s S ↔ (fun i : s ↦ f i) ∈ S := mem_preimage @[simp] theorem cylinder_empty (s : Finset ι) : cylinder s (∅ : Set (∀ i : s, α i)) = ∅ := by rw [cylinder, preimage_empty] @[simp] theorem cylinder_univ (s : Finset ι) : cylinder s (univ : Set (∀ i : s, α i)) = univ := by rw [cylinder, preimage_univ] @[simp] theorem cylinder_eq_empty_iff [h_nonempty : Nonempty (∀ i, α i)] (s : Finset ι) (S : Set (∀ i : s, α i)) : cylinder s S = ∅ ↔ S = ∅ := by refine ⟨fun h ↦ ?_, fun h ↦ by (rw [h]; exact cylinder_empty _)⟩ by_contra hS rw [← Ne, ← nonempty_iff_ne_empty] at hS let f := hS.some have hf : f ∈ S := hS.choose_spec classical let f' : ∀ i, α i := fun i ↦ if hi : i ∈ s then f ⟨i, hi⟩ else h_nonempty.some i have hf' : f' ∈ cylinder s S := by rw [mem_cylinder] simpa only [f', Finset.coe_mem, dif_pos] rw [h] at hf' exact not_mem_empty _ hf' theorem inter_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i)) [DecidableEq ι] : cylinder s₁ S₁ ∩ cylinder s₂ S₂ = cylinder (s₁ ∪ s₂) ((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∩ (fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by ext1 f; simp only [mem_inter_iff, mem_cylinder, mem_setOf_eq]; rfl theorem inter_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) : cylinder s S₁ ∩ cylinder s S₂ = cylinder s (S₁ ∩ S₂) := by classical rw [inter_cylinder]; rfl theorem union_cylinder (s₁ s₂ : Finset ι) (S₁ : Set (∀ i : s₁, α i)) (S₂ : Set (∀ i : s₂, α i)) [DecidableEq ι] : cylinder s₁ S₁ ∪ cylinder s₂ S₂ = cylinder (s₁ ∪ s₂) ((fun f ↦ fun j : s₁ ↦ f ⟨j, Finset.mem_union_left s₂ j.prop⟩) ⁻¹' S₁ ∪ (fun f ↦ fun j : s₂ ↦ f ⟨j, Finset.mem_union_right s₁ j.prop⟩) ⁻¹' S₂) := by ext1 f; simp only [mem_union, mem_cylinder, mem_setOf_eq]; rfl theorem union_cylinder_same (s : Finset ι) (S₁ : Set (∀ i : s, α i)) (S₂ : Set (∀ i : s, α i)) : cylinder s S₁ ∪ cylinder s S₂ = cylinder s (S₁ ∪ S₂) := by classical rw [union_cylinder]; rfl theorem compl_cylinder (s : Finset ι) (S : Set (∀ i : s, α i)) : (cylinder s S)ᶜ = cylinder s (Sᶜ) := by ext1 f; simp only [mem_compl_iff, mem_cylinder] theorem diff_cylinder_same (s : Finset ι) (S T : Set (∀ i : s, α i)) : cylinder s S \ cylinder s T = cylinder s (S \ T) := by ext1 f; simp only [mem_diff, mem_cylinder]
Mathlib/MeasureTheory/Constructions/Cylinders.lean
217
229
theorem eq_of_cylinder_eq_of_subset [h_nonempty : Nonempty (∀ i, α i)] {I J : Finset ι} {S : Set (∀ i : I, α i)} {T : Set (∀ i : J, α i)} (h_eq : cylinder I S = cylinder J T) (hJI : J ⊆ I) : S = (fun f : ∀ i : I, α i ↦ fun j : J ↦ f ⟨j, hJI j.prop⟩) ⁻¹' T := by
rw [Set.ext_iff] at h_eq simp only [mem_cylinder] at h_eq ext1 f simp only [mem_preimage] classical specialize h_eq fun i ↦ if hi : i ∈ I then f ⟨i, hi⟩ else h_nonempty.some i have h_mem : ∀ j : J, ↑j ∈ I := fun j ↦ hJI j.prop simp only [Finset.coe_mem, dite_true, h_mem] at h_eq exact h_eq
import Mathlib.Analysis.Convex.Slope import Mathlib.Analysis.SpecialFunctions.Pow.Real import Mathlib.Tactic.LinearCombination #align_import analysis.convex.specific_functions.basic from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" open Real Set NNReal
Mathlib/Analysis/Convex/SpecificFunctions/Basic.lean
39
58
theorem strictConvexOn_exp : StrictConvexOn ℝ univ exp := by
apply strictConvexOn_of_slope_strict_mono_adjacent convex_univ rintro x y z - - hxy hyz trans exp y · have h1 : 0 < y - x := by linarith have h2 : x - y < 0 := by linarith rw [div_lt_iff h1] calc exp y - exp x = exp y - exp y * exp (x - y) := by rw [← exp_add]; ring_nf _ = exp y * (1 - exp (x - y)) := by ring _ < exp y * -(x - y) := by gcongr; linarith [add_one_lt_exp h2.ne] _ = exp y * (y - x) := by ring · have h1 : 0 < z - y := by linarith rw [lt_div_iff h1] calc exp y * (z - y) < exp y * (exp (z - y) - 1) := by gcongr _ * ?_ linarith [add_one_lt_exp h1.ne'] _ = exp (z - y) * exp y - exp y := by ring _ ≤ exp z - exp y := by rw [← exp_add]; ring_nf; rfl
import Mathlib.Analysis.SpecialFunctions.Gamma.Basic import Mathlib.Analysis.SpecialFunctions.PolarCoord import Mathlib.Analysis.Convex.Complex #align_import analysis.special_functions.gaussian from "leanprover-community/mathlib"@"7982767093ae38cba236487f9c9dd9cd99f63c16" noncomputable section open Real Set MeasureTheory Filter Asymptotics open scoped Real Topology open Complex hiding exp abs_of_nonneg theorem exp_neg_mul_rpow_isLittleO_exp_neg {p b : ℝ} (hb : 0 < b) (hp : 1 < p) : (fun x : ℝ => exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-x) := by rw [isLittleO_exp_comp_exp_comp] suffices Tendsto (fun x => x * (b * x ^ (p - 1) + -1)) atTop atTop by refine Tendsto.congr' ?_ this refine eventuallyEq_of_mem (Ioi_mem_atTop (0 : ℝ)) (fun x hx => ?_) rw [mem_Ioi] at hx rw [rpow_sub_one hx.ne'] field_simp [hx.ne'] ring apply Tendsto.atTop_mul_atTop tendsto_id refine tendsto_atTop_add_const_right atTop (-1 : ℝ) ?_ exact Tendsto.const_mul_atTop hb (tendsto_rpow_atTop (by linarith)) theorem exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) : (fun x : ℝ => exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-x) := by simp_rw [← rpow_two] exact exp_neg_mul_rpow_isLittleO_exp_neg hb one_lt_two #align exp_neg_mul_sq_is_o_exp_neg exp_neg_mul_sq_isLittleO_exp_neg theorem rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg (s : ℝ) {b p : ℝ} (hp : 1 < p) (hb : 0 < b) : (fun x : ℝ => x ^ s * exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by apply ((isBigO_refl (fun x : ℝ => x ^ s) atTop).mul_isLittleO (exp_neg_mul_rpow_isLittleO_exp_neg hb hp)).trans simpa only [mul_comm] using Real.Gamma_integrand_isLittleO s theorem rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg {b : ℝ} (hb : 0 < b) (s : ℝ) : (fun x : ℝ => x ^ s * exp (-b * x ^ 2)) =o[atTop] fun x : ℝ => exp (-(1 / 2) * x) := by simp_rw [← rpow_two] exact rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s one_lt_two hb #align rpow_mul_exp_neg_mul_sq_is_o_exp_neg rpow_mul_exp_neg_mul_sq_isLittleO_exp_neg theorem integrableOn_rpow_mul_exp_neg_rpow {p s : ℝ} (hs : -1 < s) (hp : 1 ≤ p) : IntegrableOn (fun x : ℝ => x ^ s * exp (- x ^ p)) (Ioi 0) := by obtain hp | hp := le_iff_lt_or_eq.mp hp · have h_exp : ∀ x, ContinuousAt (fun x => exp (- x)) x := fun x => continuousAt_neg.rexp rw [← Ioc_union_Ioi_eq_Ioi zero_le_one, integrableOn_union] constructor · rw [← integrableOn_Icc_iff_integrableOn_Ioc] refine IntegrableOn.mul_continuousOn ?_ ?_ isCompact_Icc · refine (intervalIntegrable_iff_integrableOn_Icc_of_le zero_le_one).mp ?_ exact intervalIntegral.intervalIntegrable_rpow' hs · intro x _ change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Icc 0 1) x refine ContinuousAt.comp_continuousWithinAt (h_exp _) ?_ exact continuousWithinAt_id.rpow_const (Or.inr (le_of_lt (lt_trans zero_lt_one hp))) · have h_rpow : ∀ (x r : ℝ), x ∈ Ici 1 → ContinuousWithinAt (fun x => x ^ r) (Ici 1) x := by intro _ _ hx refine continuousWithinAt_id.rpow_const (Or.inl ?_) exact ne_of_gt (lt_of_lt_of_le zero_lt_one hx) refine integrable_of_isBigO_exp_neg (by norm_num : (0:ℝ) < 1 / 2) (ContinuousOn.mul (fun x hx => h_rpow x s hx) (fun x hx => ?_)) (IsLittleO.isBigO ?_) · change ContinuousWithinAt ((fun x => exp (- x)) ∘ (fun x => x ^ p)) (Ici 1) x exact ContinuousAt.comp_continuousWithinAt (h_exp _) (h_rpow x p hx) · convert rpow_mul_exp_neg_mul_rpow_isLittleO_exp_neg s hp (by norm_num : (0:ℝ) < 1) using 3 rw [neg_mul, one_mul] · simp_rw [← hp, Real.rpow_one] convert Real.GammaIntegral_convergent (by linarith : 0 < s + 1) using 2 rw [add_sub_cancel_right, mul_comm] theorem integrableOn_rpow_mul_exp_neg_mul_rpow {p s b : ℝ} (hs : -1 < s) (hp : 1 ≤ p) (hb : 0 < b) : IntegrableOn (fun x : ℝ => x ^ s * exp (- b * x ^ p)) (Ioi 0) := by have hib : 0 < b ^ (-p⁻¹) := rpow_pos_of_pos hb _ suffices IntegrableOn (fun x ↦ (b ^ (-p⁻¹)) ^ s * (x ^ s * exp (-x ^ p))) (Ioi 0) by rw [show 0 = b ^ (-p⁻¹) * 0 by rw [mul_zero], ← integrableOn_Ioi_comp_mul_left_iff _ _ hib] refine this.congr_fun (fun _ hx => ?_) measurableSet_Ioi rw [← mul_assoc, mul_rpow, mul_rpow, ← rpow_mul (z := p), neg_mul, neg_mul, inv_mul_cancel, rpow_neg_one, mul_inv_cancel_left₀] all_goals linarith [mem_Ioi.mp hx] refine Integrable.const_mul ?_ _ rw [← IntegrableOn] exact integrableOn_rpow_mul_exp_neg_rpow hs hp theorem integrableOn_rpow_mul_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) {s : ℝ} (hs : -1 < s) : IntegrableOn (fun x : ℝ => x ^ s * exp (-b * x ^ 2)) (Ioi 0) := by simp_rw [← rpow_two] exact integrableOn_rpow_mul_exp_neg_mul_rpow hs one_le_two hb #align integrable_on_rpow_mul_exp_neg_mul_sq integrableOn_rpow_mul_exp_neg_mul_sq theorem integrable_rpow_mul_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) {s : ℝ} (hs : -1 < s) : Integrable fun x : ℝ => x ^ s * exp (-b * x ^ 2) := by rw [← integrableOn_univ, ← @Iio_union_Ici _ _ (0 : ℝ), integrableOn_union, integrableOn_Ici_iff_integrableOn_Ioi] refine ⟨?_, integrableOn_rpow_mul_exp_neg_mul_sq hb hs⟩ rw [← (Measure.measurePreserving_neg (volume : Measure ℝ)).integrableOn_comp_preimage (Homeomorph.neg ℝ).measurableEmbedding] simp only [Function.comp, neg_sq, neg_preimage, preimage_neg_Iio, neg_neg, neg_zero] apply Integrable.mono' (integrableOn_rpow_mul_exp_neg_mul_sq hb hs) · apply Measurable.aestronglyMeasurable exact (measurable_id'.neg.pow measurable_const).mul ((measurable_id'.pow measurable_const).const_mul (-b)).exp · have : MeasurableSet (Ioi (0 : ℝ)) := measurableSet_Ioi filter_upwards [ae_restrict_mem this] with x hx have h'x : 0 ≤ x := le_of_lt hx rw [Real.norm_eq_abs, abs_mul, abs_of_nonneg (exp_pos _).le] apply mul_le_mul_of_nonneg_right _ (exp_pos _).le simpa [abs_of_nonneg h'x] using abs_rpow_le_abs_rpow (-x) s #align integrable_rpow_mul_exp_neg_mul_sq integrable_rpow_mul_exp_neg_mul_sq theorem integrable_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) : Integrable fun x : ℝ => exp (-b * x ^ 2) := by simpa using integrable_rpow_mul_exp_neg_mul_sq hb (by norm_num : (-1 : ℝ) < 0) #align integrable_exp_neg_mul_sq integrable_exp_neg_mul_sq theorem integrableOn_Ioi_exp_neg_mul_sq_iff {b : ℝ} : IntegrableOn (fun x : ℝ => exp (-b * x ^ 2)) (Ioi 0) ↔ 0 < b := by refine ⟨fun h => ?_, fun h => (integrable_exp_neg_mul_sq h).integrableOn⟩ by_contra! hb have : ∫⁻ _ : ℝ in Ioi 0, 1 ≤ ∫⁻ x : ℝ in Ioi 0, ‖exp (-b * x ^ 2)‖₊ := by apply lintegral_mono (fun x ↦ _) simp only [neg_mul, ENNReal.one_le_coe_iff, ← toNNReal_one, toNNReal_le_iff_le_coe, Real.norm_of_nonneg (exp_pos _).le, coe_nnnorm, one_le_exp_iff, Right.nonneg_neg_iff] exact fun x ↦ mul_nonpos_of_nonpos_of_nonneg hb (sq_nonneg x) simpa using this.trans_lt h.2 #align integrable_on_Ioi_exp_neg_mul_sq_iff integrableOn_Ioi_exp_neg_mul_sq_iff theorem integrable_exp_neg_mul_sq_iff {b : ℝ} : (Integrable fun x : ℝ => exp (-b * x ^ 2)) ↔ 0 < b := ⟨fun h => integrableOn_Ioi_exp_neg_mul_sq_iff.mp h.integrableOn, integrable_exp_neg_mul_sq⟩ #align integrable_exp_neg_mul_sq_iff integrable_exp_neg_mul_sq_iff theorem integrable_mul_exp_neg_mul_sq {b : ℝ} (hb : 0 < b) : Integrable fun x : ℝ => x * exp (-b * x ^ 2) := by simpa using integrable_rpow_mul_exp_neg_mul_sq hb (by norm_num : (-1 : ℝ) < 1) #align integrable_mul_exp_neg_mul_sq integrable_mul_exp_neg_mul_sq theorem norm_cexp_neg_mul_sq (b : ℂ) (x : ℝ) : ‖Complex.exp (-b * (x : ℂ) ^ 2)‖ = exp (-b.re * x ^ 2) := by rw [Complex.norm_eq_abs, Complex.abs_exp, ← ofReal_pow, mul_comm (-b) _, re_ofReal_mul, neg_re, mul_comm] #align norm_cexp_neg_mul_sq norm_cexp_neg_mul_sq
Mathlib/Analysis/SpecialFunctions/Gaussian/GaussianIntegral.lean
163
169
theorem integrable_cexp_neg_mul_sq {b : ℂ} (hb : 0 < b.re) : Integrable fun x : ℝ => cexp (-b * (x : ℂ) ^ 2) := by
refine ⟨(Complex.continuous_exp.comp (continuous_const.mul (continuous_ofReal.pow 2))).aestronglyMeasurable, ?_⟩ rw [← hasFiniteIntegral_norm_iff] simp_rw [norm_cexp_neg_mul_sq] exact (integrable_exp_neg_mul_sq hb).2
import Mathlib.Data.Multiset.Dedup #align_import data.multiset.finset_ops from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0" namespace Multiset open List variable {α : Type*} [DecidableEq α] {s : Multiset α} def ndinsert (a : α) (s : Multiset α) : Multiset α := Quot.liftOn s (fun l => (l.insert a : Multiset α)) fun _ _ p => Quot.sound (p.insert a) #align multiset.ndinsert Multiset.ndinsert @[simp] theorem coe_ndinsert (a : α) (l : List α) : ndinsert a l = (insert a l : List α) := rfl #align multiset.coe_ndinsert Multiset.coe_ndinsert @[simp, nolint simpNF] -- Porting note (#10675): dsimp can not prove this theorem ndinsert_zero (a : α) : ndinsert a 0 = {a} := rfl #align multiset.ndinsert_zero Multiset.ndinsert_zero @[simp] theorem ndinsert_of_mem {a : α} {s : Multiset α} : a ∈ s → ndinsert a s = s := Quot.inductionOn s fun _ h => congr_arg ((↑) : List α → Multiset α) <| insert_of_mem h #align multiset.ndinsert_of_mem Multiset.ndinsert_of_mem @[simp] theorem ndinsert_of_not_mem {a : α} {s : Multiset α} : a ∉ s → ndinsert a s = a ::ₘ s := Quot.inductionOn s fun _ h => congr_arg ((↑) : List α → Multiset α) <| insert_of_not_mem h #align multiset.ndinsert_of_not_mem Multiset.ndinsert_of_not_mem @[simp] theorem mem_ndinsert {a b : α} {s : Multiset α} : a ∈ ndinsert b s ↔ a = b ∨ a ∈ s := Quot.inductionOn s fun _ => mem_insert_iff #align multiset.mem_ndinsert Multiset.mem_ndinsert @[simp] theorem le_ndinsert_self (a : α) (s : Multiset α) : s ≤ ndinsert a s := Quot.inductionOn s fun _ => (sublist_insert _ _).subperm #align multiset.le_ndinsert_self Multiset.le_ndinsert_self -- Porting note: removing @[simp], simp can prove it theorem mem_ndinsert_self (a : α) (s : Multiset α) : a ∈ ndinsert a s := mem_ndinsert.2 (Or.inl rfl) #align multiset.mem_ndinsert_self Multiset.mem_ndinsert_self theorem mem_ndinsert_of_mem {a b : α} {s : Multiset α} (h : a ∈ s) : a ∈ ndinsert b s := mem_ndinsert.2 (Or.inr h) #align multiset.mem_ndinsert_of_mem Multiset.mem_ndinsert_of_mem @[simp] theorem length_ndinsert_of_mem {a : α} {s : Multiset α} (h : a ∈ s) : card (ndinsert a s) = card s := by simp [h] #align multiset.length_ndinsert_of_mem Multiset.length_ndinsert_of_mem @[simp] theorem length_ndinsert_of_not_mem {a : α} {s : Multiset α} (h : a ∉ s) : card (ndinsert a s) = card s + 1 := by simp [h] #align multiset.length_ndinsert_of_not_mem Multiset.length_ndinsert_of_not_mem theorem dedup_cons {a : α} {s : Multiset α} : dedup (a ::ₘ s) = ndinsert a (dedup s) := by by_cases h : a ∈ s <;> simp [h] #align multiset.dedup_cons Multiset.dedup_cons theorem Nodup.ndinsert (a : α) : Nodup s → Nodup (ndinsert a s) := Quot.inductionOn s fun _ => Nodup.insert #align multiset.nodup.ndinsert Multiset.Nodup.ndinsert theorem ndinsert_le {a : α} {s t : Multiset α} : ndinsert a s ≤ t ↔ s ≤ t ∧ a ∈ t := ⟨fun h => ⟨le_trans (le_ndinsert_self _ _) h, mem_of_le h (mem_ndinsert_self _ _)⟩, fun ⟨l, m⟩ => if h : a ∈ s then by simp [h, l] else by rw [ndinsert_of_not_mem h, ← cons_erase m, cons_le_cons_iff, ← le_cons_of_not_mem h, cons_erase m]; exact l⟩ #align multiset.ndinsert_le Multiset.ndinsert_le theorem attach_ndinsert (a : α) (s : Multiset α) : (s.ndinsert a).attach = ndinsert ⟨a, mem_ndinsert_self a s⟩ (s.attach.map fun p => ⟨p.1, mem_ndinsert_of_mem p.2⟩) := have eq : ∀ h : ∀ p : { x // x ∈ s }, p.1 ∈ s, (fun p : { x // x ∈ s } => ⟨p.val, h p⟩ : { x // x ∈ s } → { x // x ∈ s }) = id := fun h => funext fun p => Subtype.eq rfl have : ∀ (t) (eq : s.ndinsert a = t), t.attach = ndinsert ⟨a, eq ▸ mem_ndinsert_self a s⟩ (s.attach.map fun p => ⟨p.1, eq ▸ mem_ndinsert_of_mem p.2⟩) := by intro t ht by_cases h : a ∈ s · rw [ndinsert_of_mem h] at ht subst ht rw [eq, map_id, ndinsert_of_mem (mem_attach _ _)] · rw [ndinsert_of_not_mem h] at ht subst ht simp [attach_cons, h] this _ rfl #align multiset.attach_ndinsert Multiset.attach_ndinsert @[simp] theorem disjoint_ndinsert_left {a : α} {s t : Multiset α} : Disjoint (ndinsert a s) t ↔ a ∉ t ∧ Disjoint s t := Iff.trans (by simp [Disjoint]) disjoint_cons_left #align multiset.disjoint_ndinsert_left Multiset.disjoint_ndinsert_left @[simp]
Mathlib/Data/Multiset/FinsetOps.lean
127
129
theorem disjoint_ndinsert_right {a : α} {s t : Multiset α} : Disjoint s (ndinsert a t) ↔ a ∉ s ∧ Disjoint s t := by
rw [disjoint_comm, disjoint_ndinsert_left]; tauto
import Mathlib.Data.Set.Finite import Mathlib.GroupTheory.GroupAction.FixedPoints import Mathlib.GroupTheory.Perm.Support open Equiv List MulAction Pointwise Set Subgroup variable {G α : Type*} [Group G] [MulAction G α] [DecidableEq α] theorem finite_compl_fixedBy_closure_iff {S : Set G} : (∀ g ∈ closure S, (fixedBy α g)ᶜ.Finite) ↔ ∀ g ∈ S, (fixedBy α g)ᶜ.Finite := ⟨fun h g hg ↦ h g (subset_closure hg), fun h g hg ↦ by refine closure_induction hg h (by simp) (fun g g' hg hg' ↦ (hg.union hg').subset ?_) (by simp) simp_rw [← compl_inter, compl_subset_compl, fixedBy_mul]⟩ theorem finite_compl_fixedBy_swap {x y : α} : (fixedBy α (swap x y))ᶜ.Finite := Set.Finite.subset (s := {x, y}) (by simp) (compl_subset_comm.mp fun z h ↦ by apply swap_apply_of_ne_of_ne <;> rintro rfl <;> simp at h) theorem Equiv.Perm.IsSwap.finite_compl_fixedBy {σ : Perm α} (h : σ.IsSwap) : (fixedBy α σ)ᶜ.Finite := by obtain ⟨x, y, -, rfl⟩ := h exact finite_compl_fixedBy_swap -- this result cannot be moved to Perm/Basic since Perm/Basic is not allowed to import Submonoid theorem SubmonoidClass.swap_mem_trans {a b c : α} {C} [SetLike C (Perm α)] [SubmonoidClass C (Perm α)] (M : C) (hab : swap a b ∈ M) (hbc : swap b c ∈ M) : swap a c ∈ M := by obtain rfl | hab' := eq_or_ne a b · exact hbc obtain rfl | hac := eq_or_ne a c · exact swap_self a ▸ one_mem M rw [swap_comm, ← swap_mul_swap_mul_swap hab' hac] exact mul_mem (mul_mem hbc hab) hbc theorem exists_smul_not_mem_of_subset_orbit_closure (S : Set G) (T : Set α) {a : α} (hS : ∀ g ∈ S, g⁻¹ ∈ S) (subset : T ⊆ orbit (closure S) a) (not_mem : a ∉ T) (nonempty : T.Nonempty) : ∃ σ ∈ S, ∃ a ∈ T, σ • a ∉ T := by have key0 : ¬ closure S ≤ stabilizer G T := by have ⟨b, hb⟩ := nonempty obtain ⟨σ, rfl⟩ := subset hb contrapose! not_mem with h exact smul_mem_smul_set_iff.mp ((h σ.2).symm ▸ hb) contrapose! key0 refine (closure_le _).mpr fun σ hσ ↦ ?_ simp_rw [SetLike.mem_coe, mem_stabilizer_iff, Set.ext_iff, mem_smul_set_iff_inv_smul_mem] exact fun a ↦ ⟨fun h ↦ smul_inv_smul σ a ▸ key0 σ hσ (σ⁻¹ • a) h, key0 σ⁻¹ (hS σ hσ) a⟩ theorem swap_mem_closure_isSwap {S : Set (Perm α)} (hS : ∀ f ∈ S, f.IsSwap) {x y : α} : swap x y ∈ closure S ↔ x ∈ orbit (closure S) y := by refine ⟨fun h ↦ ⟨⟨swap x y, h⟩, swap_apply_right x y⟩, fun hf ↦ ?_⟩ by_contra h have := exists_smul_not_mem_of_subset_orbit_closure S {x | swap x y ∈ closure S} (fun f hf ↦ ?_) (fun z hz ↦ ?_) h ⟨y, ?_⟩ · obtain ⟨σ, hσ, a, ha, hσa⟩ := this obtain ⟨z, w, hzw, rfl⟩ := hS σ hσ have := ne_of_mem_of_not_mem ha hσa rw [Perm.smul_def, ne_comm, swap_apply_ne_self_iff, and_iff_right hzw] at this refine hσa (SubmonoidClass.swap_mem_trans (closure S) ?_ ha) obtain rfl | rfl := this <;> simpa [swap_comm] using subset_closure hσ · obtain ⟨x, y, -, rfl⟩ := hS f hf; rwa [swap_inv] · exact orbit_eq_iff.mpr hf ▸ ⟨⟨swap z y, hz⟩, swap_apply_right z y⟩ · rw [mem_setOf, swap_self]; apply one_mem theorem mem_closure_isSwap {S : Set (Perm α)} (hS : ∀ f ∈ S, f.IsSwap) {f : Perm α} : f ∈ closure S ↔ (fixedBy α f)ᶜ.Finite ∧ ∀ x, f x ∈ orbit (closure S) x := by refine ⟨fun hf ↦ ⟨?_, fun x ↦ mem_orbit_iff.mpr ⟨⟨f, hf⟩, rfl⟩⟩, ?_⟩ · exact finite_compl_fixedBy_closure_iff.mpr (fun f hf ↦ (hS f hf).finite_compl_fixedBy) _ hf rintro ⟨fin, hf⟩ set supp := (fixedBy α f)ᶜ with supp_eq suffices h : (fixedBy α f)ᶜ ⊆ supp → f ∈ closure S from h supp_eq.symm.subset clear_value supp; clear supp_eq; revert f apply fin.induction_on .. · rintro f - emp; convert (closure S).one_mem; ext; by_contra h; exact emp h rintro a s - - ih f hf supp_subset refine (mul_mem_cancel_left ((swap_mem_closure_isSwap hS).2 (hf a))).1 (ih (fun b ↦ ?_) fun b hb ↦ ?_) · rw [Perm.mul_apply, swap_apply_def]; split_ifs with h1 h2 · rw [← orbit_eq_iff.mpr (hf b), h1, orbit_eq_iff.mpr (hf a)]; apply mem_orbit_self · rw [← orbit_eq_iff.mpr (hf b), h2]; apply hf · exact hf b · contrapose! hb simp_rw [not_mem_compl_iff, mem_fixedBy, Perm.smul_def, Perm.mul_apply, swap_apply_def, apply_eq_iff_eq] by_cases hb' : f b = b · rw [hb']; split_ifs with h <;> simp only [h] simp [show b = a by simpa [hb] using supp_subset hb'] theorem mem_closure_isSwap' {f : Perm α} : f ∈ closure {σ : Perm α | σ.IsSwap} ↔ (fixedBy α f)ᶜ.Finite := by refine (mem_closure_isSwap fun _ ↦ id).trans (and_iff_left fun x ↦ ⟨⟨swap x (f x), ?_⟩, swap_apply_left x (f x)⟩) by_cases h : x = f x · rw [← h, swap_self] apply Subgroup.one_mem · exact subset_closure ⟨x, f x, h, rfl⟩ theorem closure_of_isSwap_of_isPretransitive [Finite α] {S : Set (Perm α)} (hS : ∀ σ ∈ S, σ.IsSwap) [MulAction.IsPretransitive (Subgroup.closure S) α] : Subgroup.closure S = ⊤ := by simp [eq_top_iff', mem_closure_isSwap hS, orbit_eq_univ, Set.toFinite]
Mathlib/GroupTheory/Perm/ClosureSwap.lean
132
138
theorem surjective_of_isSwap_of_isPretransitive [Finite α] (S : Set G) (hS1 : ∀ σ ∈ S, Perm.IsSwap (MulAction.toPermHom G α σ)) (hS2 : Subgroup.closure S = ⊤) [h : MulAction.IsPretransitive G α] : Function.Surjective (MulAction.toPermHom G α) := by
rw [← MonoidHom.range_top_iff_surjective] have := MulAction.IsPretransitive.of_compHom (α := α) (MulAction.toPermHom G α).rangeRestrict rw [MonoidHom.range_eq_map, ← hS2, MonoidHom.map_closure] at this ⊢ exact closure_of_isSwap_of_isPretransitive (Set.forall_mem_image.2 hS1)
import Mathlib.CategoryTheory.Subobject.Lattice #align_import category_theory.subobject.limits from "leanprover-community/mathlib"@"956af7c76589f444f2e1313911bad16366ea476d" universe v u noncomputable section open CategoryTheory CategoryTheory.Category CategoryTheory.Limits CategoryTheory.Subobject Opposite variable {C : Type u} [Category.{v} C] {X Y Z : C} namespace CategoryTheory namespace Limits section Image variable (f : X ⟶ Y) [HasImage f] abbrev imageSubobject : Subobject Y := Subobject.mk (image.ι f) #align category_theory.limits.image_subobject CategoryTheory.Limits.imageSubobject def imageSubobjectIso : (imageSubobject f : C) ≅ image f := Subobject.underlyingIso (image.ι f) #align category_theory.limits.image_subobject_iso CategoryTheory.Limits.imageSubobjectIso @[reassoc (attr := simp)] theorem imageSubobject_arrow : (imageSubobjectIso f).hom ≫ image.ι f = (imageSubobject f).arrow := by simp [imageSubobjectIso] #align category_theory.limits.image_subobject_arrow CategoryTheory.Limits.imageSubobject_arrow @[reassoc (attr := simp)] theorem imageSubobject_arrow' : (imageSubobjectIso f).inv ≫ (imageSubobject f).arrow = image.ι f := by simp [imageSubobjectIso] #align category_theory.limits.image_subobject_arrow' CategoryTheory.Limits.imageSubobject_arrow' def factorThruImageSubobject : X ⟶ imageSubobject f := factorThruImage f ≫ (imageSubobjectIso f).inv #align category_theory.limits.factor_thru_image_subobject CategoryTheory.Limits.factorThruImageSubobject instance [HasEqualizers C] : Epi (factorThruImageSubobject f) := by dsimp [factorThruImageSubobject] apply epi_comp @[reassoc (attr := simp), elementwise (attr := simp)] theorem imageSubobject_arrow_comp : factorThruImageSubobject f ≫ (imageSubobject f).arrow = f := by simp [factorThruImageSubobject, imageSubobject_arrow] #align category_theory.limits.image_subobject_arrow_comp CategoryTheory.Limits.imageSubobject_arrow_comp theorem imageSubobject_arrow_comp_eq_zero [HasZeroMorphisms C] {X Y Z : C} {f : X ⟶ Y} {g : Y ⟶ Z} [HasImage f] [Epi (factorThruImageSubobject f)] (h : f ≫ g = 0) : (imageSubobject f).arrow ≫ g = 0 := zero_of_epi_comp (factorThruImageSubobject f) <| by simp [h] #align category_theory.limits.image_subobject_arrow_comp_eq_zero CategoryTheory.Limits.imageSubobject_arrow_comp_eq_zero theorem imageSubobject_factors_comp_self {W : C} (k : W ⟶ X) : (imageSubobject f).Factors (k ≫ f) := ⟨k ≫ factorThruImage f, by simp⟩ #align category_theory.limits.image_subobject_factors_comp_self CategoryTheory.Limits.imageSubobject_factors_comp_self @[simp] theorem factorThruImageSubobject_comp_self {W : C} (k : W ⟶ X) (h) : (imageSubobject f).factorThru (k ≫ f) h = k ≫ factorThruImageSubobject f := by ext simp #align category_theory.limits.factor_thru_image_subobject_comp_self CategoryTheory.Limits.factorThruImageSubobject_comp_self @[simp] theorem factorThruImageSubobject_comp_self_assoc {W W' : C} (k : W ⟶ W') (k' : W' ⟶ X) (h) : (imageSubobject f).factorThru (k ≫ k' ≫ f) h = k ≫ k' ≫ factorThruImageSubobject f := by ext simp #align category_theory.limits.factor_thru_image_subobject_comp_self_assoc CategoryTheory.Limits.factorThruImageSubobject_comp_self_assoc theorem imageSubobject_comp_le {X' : C} (h : X' ⟶ X) (f : X ⟶ Y) [HasImage f] [HasImage (h ≫ f)] : imageSubobject (h ≫ f) ≤ imageSubobject f := Subobject.mk_le_mk_of_comm (image.preComp h f) (by simp) #align category_theory.limits.image_subobject_comp_le CategoryTheory.Limits.imageSubobject_comp_le section open ZeroObject variable [HasZeroMorphisms C] [HasZeroObject C] @[simp]
Mathlib/CategoryTheory/Subobject/Limits.lean
369
371
theorem imageSubobject_zero_arrow : (imageSubobject (0 : X ⟶ Y)).arrow = 0 := by
rw [← imageSubobject_arrow] simp
import Mathlib.LinearAlgebra.Eigenspace.Basic import Mathlib.FieldTheory.IsAlgClosed.Spectrum #align_import linear_algebra.eigenspace.is_alg_closed from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1" open Set Function Module FiniteDimensional variable {K V : Type*} [Field K] [AddCommGroup V] [Module K V] namespace Module.End -- This is Lemma 5.21 of [axler2015], although we are no longer following that proof.
Mathlib/LinearAlgebra/Eigenspace/Triangularizable.lean
51
54
theorem exists_eigenvalue [IsAlgClosed K] [FiniteDimensional K V] [Nontrivial V] (f : End K V) : ∃ c : K, f.HasEigenvalue c := by
simp_rw [hasEigenvalue_iff_mem_spectrum] exact spectrum.nonempty_of_isAlgClosed_of_finiteDimensional K f
import Mathlib.Analysis.SpecialFunctions.Exp import Mathlib.Data.Nat.Factorization.Basic import Mathlib.Analysis.NormedSpace.Real #align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690" open Set Filter Function open Topology noncomputable section namespace Real variable {x y : ℝ} -- @[pp_nodot] -- Porting note: removed noncomputable def log (x : ℝ) : ℝ := if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ #align real.log Real.log theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ := dif_neg hx #align real.log_of_ne_zero Real.log_of_ne_zero theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by rw [log_of_ne_zero hx.ne'] congr exact abs_of_pos hx #align real.log_of_pos Real.log_of_pos theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk] #align real.exp_log_eq_abs Real.exp_log_eq_abs theorem exp_log (hx : 0 < x) : exp (log x) = x := by rw [exp_log_eq_abs hx.ne'] exact abs_of_pos hx #align real.exp_log Real.exp_log theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by rw [exp_log_eq_abs (ne_of_lt hx)] exact abs_of_neg hx #align real.exp_log_of_neg Real.exp_log_of_neg theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by by_cases h_zero : x = 0 · rw [h_zero, log, dif_pos rfl, exp_zero] exact zero_le_one · rw [exp_log_eq_abs h_zero] exact le_abs_self _ #align real.le_exp_log Real.le_exp_log @[simp] theorem log_exp (x : ℝ) : log (exp x) = x := exp_injective <| exp_log (exp_pos x) #align real.log_exp Real.log_exp theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩ #align real.surj_on_log Real.surjOn_log theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩ #align real.log_surjective Real.log_surjective @[simp] theorem range_log : range log = univ := log_surjective.range_eq #align real.range_log Real.range_log @[simp] theorem log_zero : log 0 = 0 := dif_pos rfl #align real.log_zero Real.log_zero @[simp] theorem log_one : log 1 = 0 := exp_injective <| by rw [exp_log zero_lt_one, exp_zero] #align real.log_one Real.log_one @[simp] theorem log_abs (x : ℝ) : log |x| = log x := by by_cases h : x = 0 · simp [h] · rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs] #align real.log_abs Real.log_abs @[simp] theorem log_neg_eq_log (x : ℝ) : log (-x) = log x := by rw [← log_abs x, ← log_abs (-x), abs_neg] #align real.log_neg_eq_log Real.log_neg_eq_log theorem sinh_log {x : ℝ} (hx : 0 < x) : sinh (log x) = (x - x⁻¹) / 2 := by rw [sinh_eq, exp_neg, exp_log hx] #align real.sinh_log Real.sinh_log theorem cosh_log {x : ℝ} (hx : 0 < x) : cosh (log x) = (x + x⁻¹) / 2 := by rw [cosh_eq, exp_neg, exp_log hx] #align real.cosh_log Real.cosh_log theorem surjOn_log' : SurjOn log (Iio 0) univ := fun x _ => ⟨-exp x, neg_lt_zero.2 <| exp_pos x, by rw [log_neg_eq_log, log_exp]⟩ #align real.surj_on_log' Real.surjOn_log' theorem log_mul (hx : x ≠ 0) (hy : y ≠ 0) : log (x * y) = log x + log y := exp_injective <| by rw [exp_log_eq_abs (mul_ne_zero hx hy), exp_add, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_mul] #align real.log_mul Real.log_mul theorem log_div (hx : x ≠ 0) (hy : y ≠ 0) : log (x / y) = log x - log y := exp_injective <| by rw [exp_log_eq_abs (div_ne_zero hx hy), exp_sub, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_div] #align real.log_div Real.log_div @[simp] theorem log_inv (x : ℝ) : log x⁻¹ = -log x := by by_cases hx : x = 0; · simp [hx] rw [← exp_eq_exp, exp_log_eq_abs (inv_ne_zero hx), exp_neg, exp_log_eq_abs hx, abs_inv] #align real.log_inv Real.log_inv theorem log_le_log_iff (h : 0 < x) (h₁ : 0 < y) : log x ≤ log y ↔ x ≤ y := by rw [← exp_le_exp, exp_log h, exp_log h₁] #align real.log_le_log Real.log_le_log_iff @[gcongr] lemma log_le_log (hx : 0 < x) (hxy : x ≤ y) : log x ≤ log y := (log_le_log_iff hx (hx.trans_le hxy)).2 hxy @[gcongr] theorem log_lt_log (hx : 0 < x) (h : x < y) : log x < log y := by rwa [← exp_lt_exp, exp_log hx, exp_log (lt_trans hx h)] #align real.log_lt_log Real.log_lt_log theorem log_lt_log_iff (hx : 0 < x) (hy : 0 < y) : log x < log y ↔ x < y := by rw [← exp_lt_exp, exp_log hx, exp_log hy] #align real.log_lt_log_iff Real.log_lt_log_iff theorem log_le_iff_le_exp (hx : 0 < x) : log x ≤ y ↔ x ≤ exp y := by rw [← exp_le_exp, exp_log hx] #align real.log_le_iff_le_exp Real.log_le_iff_le_exp
Mathlib/Analysis/SpecialFunctions/Log/Basic.lean
162
162
theorem log_lt_iff_lt_exp (hx : 0 < x) : log x < y ↔ x < exp y := by
rw [← exp_lt_exp, exp_log hx]
import Mathlib.Data.ZMod.Basic import Mathlib.Algebra.Group.Nat import Mathlib.Tactic.IntervalCases import Mathlib.GroupTheory.SpecificGroups.Dihedral import Mathlib.GroupTheory.SpecificGroups.Cyclic #align_import group_theory.specific_groups.quaternion from "leanprover-community/mathlib"@"879155bff5af618b9062cbb2915347dafd749ad6" inductive QuaternionGroup (n : ℕ) : Type | a : ZMod (2 * n) → QuaternionGroup n | xa : ZMod (2 * n) → QuaternionGroup n deriving DecidableEq #align quaternion_group QuaternionGroup namespace QuaternionGroup variable {n : ℕ} private def mul : QuaternionGroup n → QuaternionGroup n → QuaternionGroup n | a i, a j => a (i + j) | a i, xa j => xa (j - i) | xa i, a j => xa (i + j) | xa i, xa j => a (n + j - i) private def one : QuaternionGroup n := a 0 instance : Inhabited (QuaternionGroup n) := ⟨one⟩ private def inv : QuaternionGroup n → QuaternionGroup n | a i => a (-i) | xa i => xa (n + i) instance : Group (QuaternionGroup n) where mul := mul mul_assoc := by rintro (i | i) (j | j) (k | k) <;> simp only [(· * ·), mul] <;> ring_nf congr calc -(n : ZMod (2 * n)) = 0 - n := by rw [zero_sub] _ = 2 * n - n := by norm_cast; simp _ = n := by ring one := one one_mul := by rintro (i | i) · exact congr_arg a (zero_add i) · exact congr_arg xa (sub_zero i) mul_one := by rintro (i | i) · exact congr_arg a (add_zero i) · exact congr_arg xa (add_zero i) inv := inv mul_left_inv := by rintro (i | i) · exact congr_arg a (neg_add_self i) · exact congr_arg a (sub_self (n + i)) @[simp] theorem a_mul_a (i j : ZMod (2 * n)) : a i * a j = a (i + j) := rfl #align quaternion_group.a_mul_a QuaternionGroup.a_mul_a @[simp] theorem a_mul_xa (i j : ZMod (2 * n)) : a i * xa j = xa (j - i) := rfl #align quaternion_group.a_mul_xa QuaternionGroup.a_mul_xa @[simp] theorem xa_mul_a (i j : ZMod (2 * n)) : xa i * a j = xa (i + j) := rfl #align quaternion_group.xa_mul_a QuaternionGroup.xa_mul_a @[simp] theorem xa_mul_xa (i j : ZMod (2 * n)) : xa i * xa j = a ((n : ZMod (2 * n)) + j - i) := rfl #align quaternion_group.xa_mul_xa QuaternionGroup.xa_mul_xa theorem one_def : (1 : QuaternionGroup n) = a 0 := rfl #align quaternion_group.one_def QuaternionGroup.one_def private def fintypeHelper : Sum (ZMod (2 * n)) (ZMod (2 * n)) ≃ QuaternionGroup n where invFun i := match i with | a j => Sum.inl j | xa j => Sum.inr j toFun i := match i with | Sum.inl j => a j | Sum.inr j => xa j left_inv := by rintro (x | x) <;> rfl right_inv := by rintro (x | x) <;> rfl def quaternionGroupZeroEquivDihedralGroupZero : QuaternionGroup 0 ≃* DihedralGroup 0 where toFun i := -- Porting note: Originally `QuaternionGroup.recOn i DihedralGroup.r DihedralGroup.sr` match i with | a j => DihedralGroup.r j | xa j => DihedralGroup.sr j invFun i := match i with | DihedralGroup.r j => a j | DihedralGroup.sr j => xa j left_inv := by rintro (k | k) <;> rfl right_inv := by rintro (k | k) <;> rfl map_mul' := by rintro (k | k) (l | l) <;> simp #align quaternion_group.quaternion_group_zero_equiv_dihedral_group_zero QuaternionGroup.quaternionGroupZeroEquivDihedralGroupZero instance [NeZero n] : Fintype (QuaternionGroup n) := Fintype.ofEquiv _ fintypeHelper instance : Nontrivial (QuaternionGroup n) := ⟨⟨a 0, xa 0, by revert n; simp⟩⟩ -- Porting note: `revert n; simp` was `decide` theorem card [NeZero n] : Fintype.card (QuaternionGroup n) = 4 * n := by rw [← Fintype.card_eq.mpr ⟨fintypeHelper⟩, Fintype.card_sum, ZMod.card, two_mul] ring #align quaternion_group.card QuaternionGroup.card @[simp]
Mathlib/GroupTheory/SpecificGroups/Quaternion.lean
180
185
theorem a_one_pow (k : ℕ) : (a 1 : QuaternionGroup n) ^ k = a k := by
induction' k with k IH · rw [Nat.cast_zero]; rfl · rw [pow_succ, IH, a_mul_a] congr 1 norm_cast
import Mathlib.Topology.Bases import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Compactness.SigmaCompact open Set Filter Topology TopologicalSpace universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Lindelof def IsLindelof (s : Set X) := ∀ ⦃f⦄ [NeBot f] [CountableInterFilter f], f ≤ 𝓟 s → ∃ x ∈ s, ClusterPt x f theorem IsLindelof.compl_mem_sets (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by contrapose! hf simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢ exact hs inf_le_right theorem IsLindelof.compl_mem_sets_of_nhdsWithin (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx ↦ ?_ rw [← disjoint_principal_right, disjoint_right_comm, (basis_sets _).disjoint_iff_left] exact hf x hx @[elab_as_elim] theorem IsLindelof.induction_on (hs : IsLindelof s) {p : Set X → Prop} (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, p s) → p (⋃₀ S)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by let f : Filter X := ofCountableUnion p hcountable_union (fun t ht _ hsub ↦ hmono hsub ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s] theorem IsLindelof.inter_right (hs : IsLindelof s) (ht : IsClosed t) : IsLindelof (s ∩ t) := by intro f hnf _ hstf rw [← inf_principal, le_inf_iff] at hstf obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs hstf.1 have hxt : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono hstf.2 exact ⟨x, ⟨hsx, hxt⟩, hx⟩ theorem IsLindelof.inter_left (ht : IsLindelof t) (hs : IsClosed s) : IsLindelof (s ∩ t) := inter_comm t s ▸ ht.inter_right hs theorem IsLindelof.diff (hs : IsLindelof s) (ht : IsOpen t) : IsLindelof (s \ t) := hs.inter_right (isClosed_compl_iff.mpr ht) theorem IsLindelof.of_isClosed_subset (hs : IsLindelof s) (ht : IsClosed t) (h : t ⊆ s) : IsLindelof t := inter_eq_self_of_subset_right h ▸ hs.inter_right ht theorem IsLindelof.image_of_continuousOn {f : X → Y} (hs : IsLindelof s) (hf : ContinuousOn f s) : IsLindelof (f '' s) := by intro l lne _ ls have : NeBot (l.comap f ⊓ 𝓟 s) := comap_inf_principal_neBot_of_image_mem lne (le_principal_iff.1 ls) obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, ClusterPt x (l.comap f ⊓ 𝓟 s) := @hs _ this _ inf_le_right haveI := hx.neBot use f x, mem_image_of_mem f hxs have : Tendsto f (𝓝 x ⊓ (comap f l ⊓ 𝓟 s)) (𝓝 (f x) ⊓ l) := by convert (hf x hxs).inf (@tendsto_comap _ _ f l) using 1 rw [nhdsWithin] ac_rfl exact this.neBot theorem IsLindelof.image {f : X → Y} (hs : IsLindelof s) (hf : Continuous f) : IsLindelof (f '' s) := hs.image_of_continuousOn hf.continuousOn theorem IsLindelof.adherence_nhdset {f : Filter X} [CountableInterFilter f] (hs : IsLindelof s) (hf₂ : f ≤ 𝓟 s) (ht₁ : IsOpen t) (ht₂ : ∀ x ∈ s, ClusterPt x f → x ∈ t) : t ∈ f := (eq_or_neBot _).casesOn mem_of_eq_bot fun _ ↦ let ⟨x, hx, hfx⟩ := @hs (f ⊓ 𝓟 tᶜ) _ _ <| inf_le_of_left_le hf₂ have : x ∈ t := ht₂ x hx hfx.of_inf_left have : tᶜ ∩ t ∈ 𝓝[tᶜ] x := inter_mem_nhdsWithin _ (ht₁.mem_nhds this) have A : 𝓝[tᶜ] x = ⊥ := empty_mem_iff_bot.1 <| compl_inter_self t ▸ this have : 𝓝[tᶜ] x ≠ ⊥ := hfx.of_inf_right.ne absurd A this theorem IsLindelof.elim_countable_subcover {ι : Type v} (hs : IsLindelof s) (U : ι → Set X) (hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) : ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i) := by have hmono : ∀ ⦃s t : Set X⦄, s ⊆ t → (∃ r : Set ι, r.Countable ∧ t ⊆ ⋃ i ∈ r, U i) → (∃ r : Set ι, r.Countable ∧ s ⊆ ⋃ i ∈ r, U i) := by intro _ _ hst ⟨r, ⟨hrcountable, hsub⟩⟩ exact ⟨r, hrcountable, Subset.trans hst hsub⟩ have hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i)) → ∃ r : Set ι, r.Countable ∧ (⋃₀ S ⊆ ⋃ i ∈ r, U i) := by intro S hS hsr choose! r hr using hsr refine ⟨⋃ s ∈ S, r s, hS.biUnion_iff.mpr (fun s hs ↦ (hr s hs).1), ?_⟩ refine sUnion_subset ?h.right.h simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and'] exact fun i is x hx ↦ mem_biUnion is ((hr i is).2 hx) have h_nhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∃ r : Set ι, r.Countable ∧ (t ⊆ ⋃ i ∈ r, U i) := by intro x hx let ⟨i, hi⟩ := mem_iUnion.1 (hsU hx) refine ⟨U i, mem_nhdsWithin_of_mem_nhds ((hUo i).mem_nhds hi), {i}, by simp, ?_⟩ simp only [mem_singleton_iff, iUnion_iUnion_eq_left] exact Subset.refl _ exact hs.induction_on hmono hcountable_union h_nhds theorem IsLindelof.elim_nhds_subcover' (hs : IsLindelof s) (U : ∀ x ∈ s, Set X) (hU : ∀ x (hx : x ∈ s), U x ‹x ∈ s› ∈ 𝓝 x) : ∃ t : Set s, t.Countable ∧ s ⊆ ⋃ x ∈ t, U (x : s) x.2 := by have := hs.elim_countable_subcover (fun x : s ↦ interior (U x x.2)) (fun _ ↦ isOpen_interior) fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, mem_interior_iff_mem_nhds.2 <| hU _ _⟩ rcases this with ⟨r, ⟨hr, hs⟩⟩ use r, hr apply Subset.trans hs apply iUnion₂_subset intro i hi apply Subset.trans interior_subset exact subset_iUnion_of_subset i (subset_iUnion_of_subset hi (Subset.refl _)) theorem IsLindelof.elim_nhds_subcover (hs : IsLindelof s) (U : X → Set X) (hU : ∀ x ∈ s, U x ∈ 𝓝 x) : ∃ t : Set X, t.Countable ∧ (∀ x ∈ t, x ∈ s) ∧ s ⊆ ⋃ x ∈ t, U x := by let ⟨t, ⟨htc, htsub⟩⟩ := hs.elim_nhds_subcover' (fun x _ ↦ U x) hU refine ⟨↑t, Countable.image htc Subtype.val, ?_⟩ constructor · intro _ simp only [mem_image, Subtype.exists, exists_and_right, exists_eq_right, forall_exists_index] tauto · have : ⋃ x ∈ t, U ↑x = ⋃ x ∈ Subtype.val '' t, U x := biUnion_image.symm rwa [← this] theorem IsLindelof.disjoint_nhdsSet_left {l : Filter X} [CountableInterFilter l] (hs : IsLindelof s) : Disjoint (𝓝ˢ s) l ↔ ∀ x ∈ s, Disjoint (𝓝 x) l := by refine ⟨fun h x hx ↦ h.mono_left <| nhds_le_nhdsSet hx, fun H ↦ ?_⟩ choose! U hxU hUl using fun x hx ↦ (nhds_basis_opens x).disjoint_iff_left.1 (H x hx) choose hxU hUo using hxU rcases hs.elim_nhds_subcover U fun x hx ↦ (hUo x hx).mem_nhds (hxU x hx) with ⟨t, htc, hts, hst⟩ refine (hasBasis_nhdsSet _).disjoint_iff_left.2 ⟨⋃ x ∈ t, U x, ⟨isOpen_biUnion fun x hx ↦ hUo x (hts x hx), hst⟩, ?_⟩ rw [compl_iUnion₂] exact (countable_bInter_mem htc).mpr (fun i hi ↦ hUl _ (hts _ hi)) theorem IsLindelof.disjoint_nhdsSet_right {l : Filter X} [CountableInterFilter l] (hs : IsLindelof s) : Disjoint l (𝓝ˢ s) ↔ ∀ x ∈ s, Disjoint l (𝓝 x) := by simpa only [disjoint_comm] using hs.disjoint_nhdsSet_left theorem IsLindelof.elim_countable_subfamily_closed {ι : Type v} (hs : IsLindelof s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : (s ∩ ⋂ i, t i) = ∅) : ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅ := by let U := tᶜ have hUo : ∀ i, IsOpen (U i) := by simp only [U, Pi.compl_apply, isOpen_compl_iff]; exact htc have hsU : s ⊆ ⋃ i, U i := by simp only [U, Pi.compl_apply] rw [← compl_iInter] apply disjoint_compl_left_iff_subset.mp simp only [compl_iInter, compl_iUnion, compl_compl] apply Disjoint.symm exact disjoint_iff_inter_eq_empty.mpr hst rcases hs.elim_countable_subcover U hUo hsU with ⟨u, ⟨hucount, husub⟩⟩ use u, hucount rw [← disjoint_compl_left_iff_subset] at husub simp only [U, Pi.compl_apply, compl_iUnion, compl_compl] at husub exact disjoint_iff_inter_eq_empty.mp (Disjoint.symm husub) theorem IsLindelof.inter_iInter_nonempty {ι : Type v} (hs : IsLindelof s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : ∀ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i).Nonempty) : (s ∩ ⋂ i, t i).Nonempty := by contrapose! hst rcases hs.elim_countable_subfamily_closed t htc hst with ⟨u, ⟨_, husub⟩⟩ exact ⟨u, fun _ ↦ husub⟩ theorem IsLindelof.elim_countable_subcover_image {b : Set ι} {c : ι → Set X} (hs : IsLindelof s) (hc₁ : ∀ i ∈ b, IsOpen (c i)) (hc₂ : s ⊆ ⋃ i ∈ b, c i) : ∃ b', b' ⊆ b ∧ Set.Countable b' ∧ s ⊆ ⋃ i ∈ b', c i := by simp only [Subtype.forall', biUnion_eq_iUnion] at hc₁ hc₂ rcases hs.elim_countable_subcover (fun i ↦ c i : b → Set X) hc₁ hc₂ with ⟨d, hd⟩ refine ⟨Subtype.val '' d, by simp, Countable.image hd.1 Subtype.val, ?_⟩ rw [biUnion_image] exact hd.2 theorem isLindelof_of_countable_subcover (h : ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Set ι, t.Countable ∧ s ⊆ ⋃ i ∈ t, U i) : IsLindelof s := fun f hf hfs ↦ by contrapose! h simp only [ClusterPt, not_neBot, ← disjoint_iff, SetCoe.forall', (nhds_basis_opens _).disjoint_iff_left] at h choose fsub U hU hUf using h refine ⟨s, U, fun x ↦ (hU x).2, fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, (hU _).1 ⟩, ?_⟩ intro t ht h have uinf := f.sets_of_superset (le_principal_iff.1 fsub) h have uninf : ⋂ i ∈ t, (U i)ᶜ ∈ f := (countable_bInter_mem ht).mpr (fun _ _ ↦ hUf _) rw [← compl_iUnion₂] at uninf have uninf := compl_not_mem uninf simp only [compl_compl] at uninf contradiction theorem isLindelof_of_countable_subfamily_closed (h : ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅) : IsLindelof s := isLindelof_of_countable_subcover fun U hUo hsU ↦ by rw [← disjoint_compl_right_iff_subset, compl_iUnion, disjoint_iff] at hsU rcases h (fun i ↦ (U i)ᶜ) (fun i ↦ (hUo _).isClosed_compl) hsU with ⟨t, ht⟩ refine ⟨t, ?_⟩ rwa [← disjoint_compl_right_iff_subset, compl_iUnion₂, disjoint_iff] theorem isLindelof_iff_countable_subcover : IsLindelof s ↔ ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Set ι, t.Countable ∧ s ⊆ ⋃ i ∈ t, U i := ⟨fun hs ↦ hs.elim_countable_subcover, isLindelof_of_countable_subcover⟩ theorem isLindelof_iff_countable_subfamily_closed : IsLindelof s ↔ ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅ := ⟨fun hs ↦ hs.elim_countable_subfamily_closed, isLindelof_of_countable_subfamily_closed⟩ @[simp] theorem isLindelof_empty : IsLindelof (∅ : Set X) := fun _f hnf _ hsf ↦ Not.elim hnf.ne <| empty_mem_iff_bot.1 <| le_principal_iff.1 hsf @[simp] theorem isLindelof_singleton {x : X} : IsLindelof ({x} : Set X) := fun f hf _ hfa ↦ ⟨x, rfl, ClusterPt.of_le_nhds' (hfa.trans <| by simpa only [principal_singleton] using pure_le_nhds x) hf⟩ theorem Set.Subsingleton.isLindelof (hs : s.Subsingleton) : IsLindelof s := Subsingleton.induction_on hs isLindelof_empty fun _ ↦ isLindelof_singleton theorem Set.Countable.isLindelof_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Countable) (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := by apply isLindelof_of_countable_subcover intro i U hU hUcover have hiU : ∀ i ∈ s, f i ⊆ ⋃ i, U i := fun _ is ↦ _root_.subset_trans (subset_biUnion_of_mem is) hUcover have iSets := fun i is ↦ (hf i is).elim_countable_subcover U hU (hiU i is) choose! r hr using iSets use ⋃ i ∈ s, r i constructor · refine (Countable.biUnion_iff hs).mpr ?h.left.a exact fun s hs ↦ (hr s hs).1 · refine iUnion₂_subset ?h.right.h intro i is simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and'] intro x hx exact mem_biUnion is ((hr i is).2 hx) theorem Set.Finite.isLindelof_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Finite) (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := Set.Countable.isLindelof_biUnion (countable hs) hf theorem Finset.isLindelof_biUnion (s : Finset ι) {f : ι → Set X} (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := s.finite_toSet.isLindelof_biUnion hf theorem isLindelof_accumulate {K : ℕ → Set X} (hK : ∀ n, IsLindelof (K n)) (n : ℕ) : IsLindelof (Accumulate K n) := (finite_le_nat n).isLindelof_biUnion fun k _ => hK k theorem Set.Countable.isLindelof_sUnion {S : Set (Set X)} (hf : S.Countable) (hc : ∀ s ∈ S, IsLindelof s) : IsLindelof (⋃₀ S) := by rw [sUnion_eq_biUnion]; exact hf.isLindelof_biUnion hc theorem Set.Finite.isLindelof_sUnion {S : Set (Set X)} (hf : S.Finite) (hc : ∀ s ∈ S, IsLindelof s) : IsLindelof (⋃₀ S) := by rw [sUnion_eq_biUnion]; exact hf.isLindelof_biUnion hc theorem isLindelof_iUnion {ι : Sort*} {f : ι → Set X} [Countable ι] (h : ∀ i, IsLindelof (f i)) : IsLindelof (⋃ i, f i) := (countable_range f).isLindelof_sUnion <| forall_mem_range.2 h theorem Set.Countable.isLindelof (hs : s.Countable) : IsLindelof s := biUnion_of_singleton s ▸ hs.isLindelof_biUnion fun _ _ => isLindelof_singleton theorem Set.Finite.isLindelof (hs : s.Finite) : IsLindelof s := biUnion_of_singleton s ▸ hs.isLindelof_biUnion fun _ _ => isLindelof_singleton theorem IsLindelof.countable_of_discrete [DiscreteTopology X] (hs : IsLindelof s) : s.Countable := by have : ∀ x : X, ({x} : Set X) ∈ 𝓝 x := by simp [nhds_discrete] rcases hs.elim_nhds_subcover (fun x => {x}) fun x _ => this x with ⟨t, ht, _, hssubt⟩ rw [biUnion_of_singleton] at hssubt exact ht.mono hssubt theorem isLindelof_iff_countable [DiscreteTopology X] : IsLindelof s ↔ s.Countable := ⟨fun h => h.countable_of_discrete, fun h => h.isLindelof⟩ theorem IsLindelof.union (hs : IsLindelof s) (ht : IsLindelof t) : IsLindelof (s ∪ t) := by rw [union_eq_iUnion]; exact isLindelof_iUnion fun b => by cases b <;> assumption protected theorem IsLindelof.insert (hs : IsLindelof s) (a) : IsLindelof (insert a s) := isLindelof_singleton.union hs theorem isLindelof_open_iff_eq_countable_iUnion_of_isTopologicalBasis (b : ι → Set X) (hb : IsTopologicalBasis (Set.range b)) (hb' : ∀ i, IsLindelof (b i)) (U : Set X) : IsLindelof U ∧ IsOpen U ↔ ∃ s : Set ι, s.Countable ∧ U = ⋃ i ∈ s, b i := by constructor · rintro ⟨h₁, h₂⟩ obtain ⟨Y, f, rfl, hf⟩ := hb.open_eq_iUnion h₂ choose f' hf' using hf have : b ∘ f' = f := funext hf' subst this obtain ⟨t, ht⟩ := h₁.elim_countable_subcover (b ∘ f') (fun i => hb.isOpen (Set.mem_range_self _)) Subset.rfl refine ⟨t.image f', Countable.image (ht.1) f', le_antisymm ?_ ?_⟩ · refine Set.Subset.trans ht.2 ?_ simp only [Set.iUnion_subset_iff] intro i hi rw [← Set.iUnion_subtype (fun x : ι => x ∈ t.image f') fun i => b i.1] exact Set.subset_iUnion (fun i : t.image f' => b i) ⟨_, mem_image_of_mem _ hi⟩ · apply Set.iUnion₂_subset rintro i hi obtain ⟨j, -, rfl⟩ := (mem_image ..).mp hi exact Set.subset_iUnion (b ∘ f') j · rintro ⟨s, hs, rfl⟩ constructor · exact hs.isLindelof_biUnion fun i _ => hb' i · exact isOpen_biUnion fun i _ => hb.isOpen (Set.mem_range_self _) def Filter.coLindelof (X : Type*) [TopologicalSpace X] : Filter X := --`Filter.coLindelof` is the filter generated by complements to Lindelöf sets. ⨅ (s : Set X) (_ : IsLindelof s), 𝓟 sᶜ theorem hasBasis_coLindelof : (coLindelof X).HasBasis IsLindelof compl := hasBasis_biInf_principal' (fun s hs t ht => ⟨s ∪ t, hs.union ht, compl_subset_compl.2 subset_union_left, compl_subset_compl.2 subset_union_right⟩) ⟨∅, isLindelof_empty⟩ theorem mem_coLindelof : s ∈ coLindelof X ↔ ∃ t, IsLindelof t ∧ tᶜ ⊆ s := hasBasis_coLindelof.mem_iff theorem mem_coLindelof' : s ∈ coLindelof X ↔ ∃ t, IsLindelof t ∧ sᶜ ⊆ t := mem_coLindelof.trans <| exists_congr fun _ => and_congr_right fun _ => compl_subset_comm theorem _root_.IsLindelof.compl_mem_coLindelof (hs : IsLindelof s) : sᶜ ∈ coLindelof X := hasBasis_coLindelof.mem_of_mem hs theorem coLindelof_le_cofinite : coLindelof X ≤ cofinite := fun s hs => compl_compl s ▸ hs.isLindelof.compl_mem_coLindelof theorem Tendsto.isLindelof_insert_range_of_coLindelof {f : X → Y} {y} (hf : Tendsto f (coLindelof X) (𝓝 y)) (hfc : Continuous f) : IsLindelof (insert y (range f)) := by intro l hne _ hle by_cases hy : ClusterPt y l · exact ⟨y, Or.inl rfl, hy⟩ simp only [clusterPt_iff, not_forall, ← not_disjoint_iff_nonempty_inter, not_not] at hy rcases hy with ⟨s, hsy, t, htl, hd⟩ rcases mem_coLindelof.1 (hf hsy) with ⟨K, hKc, hKs⟩ have : f '' K ∈ l := by filter_upwards [htl, le_principal_iff.1 hle] with y hyt hyf rcases hyf with (rfl | ⟨x, rfl⟩) exacts [(hd.le_bot ⟨mem_of_mem_nhds hsy, hyt⟩).elim, mem_image_of_mem _ (not_not.1 fun hxK => hd.le_bot ⟨hKs hxK, hyt⟩)] rcases hKc.image hfc (le_principal_iff.2 this) with ⟨y, hy, hyl⟩ exact ⟨y, Or.inr <| image_subset_range _ _ hy, hyl⟩ def Filter.coclosedLindelof (X : Type*) [TopologicalSpace X] : Filter X := -- `Filter.coclosedLindelof` is the filter generated by complements to closed Lindelof sets. ⨅ (s : Set X) (_ : IsClosed s) (_ : IsLindelof s), 𝓟 sᶜ theorem hasBasis_coclosedLindelof : (Filter.coclosedLindelof X).HasBasis (fun s => IsClosed s ∧ IsLindelof s) compl := by simp only [Filter.coclosedLindelof, iInf_and'] refine hasBasis_biInf_principal' ?_ ⟨∅, isClosed_empty, isLindelof_empty⟩ rintro s ⟨hs₁, hs₂⟩ t ⟨ht₁, ht₂⟩ exact ⟨s ∪ t, ⟨⟨hs₁.union ht₁, hs₂.union ht₂⟩, compl_subset_compl.2 subset_union_left, compl_subset_compl.2 subset_union_right⟩⟩ theorem mem_coclosedLindelof : s ∈ coclosedLindelof X ↔ ∃ t, IsClosed t ∧ IsLindelof t ∧ tᶜ ⊆ s := by simp only [hasBasis_coclosedLindelof.mem_iff, and_assoc] theorem mem_coclosed_Lindelof' : s ∈ coclosedLindelof X ↔ ∃ t, IsClosed t ∧ IsLindelof t ∧ sᶜ ⊆ t := by simp only [mem_coclosedLindelof, compl_subset_comm] theorem coLindelof_le_coclosedLindelof : coLindelof X ≤ coclosedLindelof X := iInf_mono fun _ => le_iInf fun _ => le_rfl theorem IsLindeof.compl_mem_coclosedLindelof_of_isClosed (hs : IsLindelof s) (hs' : IsClosed s) : sᶜ ∈ Filter.coclosedLindelof X := hasBasis_coclosedLindelof.mem_of_mem ⟨hs', hs⟩ class LindelofSpace (X : Type*) [TopologicalSpace X] : Prop where isLindelof_univ : IsLindelof (univ : Set X) instance (priority := 10) Subsingleton.lindelofSpace [Subsingleton X] : LindelofSpace X := ⟨subsingleton_univ.isLindelof⟩ theorem isLindelof_univ_iff : IsLindelof (univ : Set X) ↔ LindelofSpace X := ⟨fun h => ⟨h⟩, fun h => h.1⟩ theorem isLindelof_univ [h : LindelofSpace X] : IsLindelof (univ : Set X) := h.isLindelof_univ theorem cluster_point_of_Lindelof [LindelofSpace X] (f : Filter X) [NeBot f] [CountableInterFilter f] : ∃ x, ClusterPt x f := by simpa using isLindelof_univ (show f ≤ 𝓟 univ by simp) theorem LindelofSpace.elim_nhds_subcover [LindelofSpace X] (U : X → Set X) (hU : ∀ x, U x ∈ 𝓝 x) : ∃ t : Set X, t.Countable ∧ ⋃ x ∈ t, U x = univ := by obtain ⟨t, tc, -, s⟩ := IsLindelof.elim_nhds_subcover isLindelof_univ U fun x _ => hU x use t, tc apply top_unique s theorem lindelofSpace_of_countable_subfamily_closed (h : ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → ⋂ i, t i = ∅ → ∃ u : Set ι, u.Countable ∧ ⋂ i ∈ u, t i = ∅) : LindelofSpace X where isLindelof_univ := isLindelof_of_countable_subfamily_closed fun t => by simpa using h t theorem IsClosed.isLindelof [LindelofSpace X] (h : IsClosed s) : IsLindelof s := isLindelof_univ.of_isClosed_subset h (subset_univ _) theorem IsCompact.isLindelof (hs : IsCompact s) : IsLindelof s := by tauto
Mathlib/Topology/Compactness/Lindelof.lean
501
507
theorem IsSigmaCompact.isLindelof (hs : IsSigmaCompact s) : IsLindelof s := by
rw [IsSigmaCompact] at hs rcases hs with ⟨K, ⟨hc, huniv⟩⟩ rw [← huniv] have hl : ∀ n, IsLindelof (K n) := fun n ↦ IsCompact.isLindelof (hc n) exact isLindelof_iUnion hl
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]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
118
123
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]
import Mathlib.Analysis.Analytic.Composition #align_import analysis.analytic.inverse from "leanprover-community/mathlib"@"284fdd2962e67d2932fa3a79ce19fcf92d38e228" open scoped Classical Topology open Finset Filter namespace FormalMultilinearSeries variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F] noncomputable def leftInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => -∑ c : { c : Composition (n + 2) // c.length < n + 2 }, (leftInv p i (c : Composition (n + 2)).length).compAlongComposition (p.compContinuousLinearMap i.symm) c #align formal_multilinear_series.left_inv FormalMultilinearSeries.leftInv @[simp] theorem leftInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 0 = 0 := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_zero FormalMultilinearSeries.leftInv_coeff_zero @[simp] theorem leftInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.leftInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [leftInv] #align formal_multilinear_series.left_inv_coeff_one FormalMultilinearSeries.leftInv_coeff_one theorem leftInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.removeZero.leftInv i = p.leftInv i := by ext1 n induction' n using Nat.strongRec' with n IH match n with | 0 => simp -- if one replaces `simp` with `refl`, the proof times out in the kernel. | 1 => simp -- TODO: why? | n + 2 => simp only [leftInv, neg_inj] refine Finset.sum_congr rfl fun c cuniv => ?_ rcases c with ⟨c, hc⟩ ext v dsimp simp [IH _ hc] #align formal_multilinear_series.left_inv_remove_zero FormalMultilinearSeries.leftInv_removeZero theorem leftInv_comp (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) : (leftInv p i).comp p = id 𝕜 E := by ext (n v) match n with | 0 => simp only [leftInv_coeff_zero, ContinuousMultilinearMap.zero_apply, id_apply_ne_one, Ne, not_false_iff, zero_ne_one, comp_coeff_zero'] | 1 => simp only [leftInv_coeff_one, comp_coeff_one, h, id_apply_one, ContinuousLinearEquiv.coe_apply, ContinuousLinearEquiv.symm_apply_apply, continuousMultilinearCurryFin1_symm_apply] | n + 2 => have A : (Finset.univ : Finset (Composition (n + 2))) = {c | Composition.length c < n + 2}.toFinset ∪ {Composition.ones (n + 2)} := by refine Subset.antisymm (fun c _ => ?_) (subset_univ _) by_cases h : c.length < n + 2 · simp [h, Set.mem_toFinset (s := {c | Composition.length c < n + 2})] · simp [Composition.eq_ones_iff_le_length.2 (not_lt.1 h)] have B : Disjoint ({c | Composition.length c < n + 2} : Set (Composition (n + 2))).toFinset {Composition.ones (n + 2)} := by simp [Set.mem_toFinset (s := {c | Composition.length c < n + 2})] have C : ((p.leftInv i (Composition.ones (n + 2)).length) fun j : Fin (Composition.ones n.succ.succ).length => p 1 fun _ => v ((Fin.castLE (Composition.length_le _)) j)) = p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j := by apply FormalMultilinearSeries.congr _ (Composition.ones_length _) fun j hj1 hj2 => ?_ exact FormalMultilinearSeries.congr _ rfl fun k _ _ => by congr have D : (p.leftInv i (n + 2) fun j : Fin (n + 2) => p 1 fun _ => v j) = -∑ c ∈ {c : Composition (n + 2) | c.length < n + 2}.toFinset, (p.leftInv i c.length) (p.applyComposition c v) := by simp only [leftInv, ContinuousMultilinearMap.neg_apply, neg_inj, ContinuousMultilinearMap.sum_apply] convert (sum_toFinset_eq_subtype (fun c : Composition (n + 2) => c.length < n + 2) (fun c : Composition (n + 2) => (ContinuousMultilinearMap.compAlongComposition (p.compContinuousLinearMap (i.symm : F →L[𝕜] E)) c (p.leftInv i c.length)) fun j : Fin (n + 2) => p 1 fun _ : Fin 1 => v j)).symm.trans _ simp only [compContinuousLinearMap_applyComposition, ContinuousMultilinearMap.compAlongComposition_apply] congr ext c congr ext k simp [h, Function.comp] simp [FormalMultilinearSeries.comp, show n + 2 ≠ 1 by omega, A, Finset.sum_union B, applyComposition_ones, C, D, -Set.toFinset_setOf] #align formal_multilinear_series.left_inv_comp FormalMultilinearSeries.leftInv_comp noncomputable def rightInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : FormalMultilinearSeries 𝕜 F E | 0 => 0 | 1 => (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm | n + 2 => let q : FormalMultilinearSeries 𝕜 F E := fun k => if k < n + 2 then rightInv p i k else 0; -(i.symm : F →L[𝕜] E).compContinuousMultilinearMap ((p.comp q) (n + 2)) #align formal_multilinear_series.right_inv FormalMultilinearSeries.rightInv @[simp] theorem rightInv_coeff_zero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.rightInv i 0 = 0 := by rw [rightInv] #align formal_multilinear_series.right_inv_coeff_zero FormalMultilinearSeries.rightInv_coeff_zero @[simp] theorem rightInv_coeff_one (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.rightInv i 1 = (continuousMultilinearCurryFin1 𝕜 F E).symm i.symm := by rw [rightInv] #align formal_multilinear_series.right_inv_coeff_one FormalMultilinearSeries.rightInv_coeff_one theorem rightInv_removeZero (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) : p.removeZero.rightInv i = p.rightInv i := by ext1 n induction' n using Nat.strongRec' with n IH match n with | 0 => simp only [rightInv_coeff_zero] | 1 => simp only [rightInv_coeff_one] | n + 2 => simp only [rightInv, neg_inj] rw [removeZero_comp_of_pos _ _ (add_pos_of_nonneg_of_pos n.zero_le zero_lt_two)] congr (config := { closePost := false }) 2 with k by_cases hk : k < n + 2 <;> simp [hk, IH] #align formal_multilinear_series.right_inv_remove_zero FormalMultilinearSeries.rightInv_removeZero theorem comp_rightInv_aux1 {n : ℕ} (hn : 0 < n) (p : FormalMultilinearSeries 𝕜 E F) (q : FormalMultilinearSeries 𝕜 F E) (v : Fin n → F) : p.comp q n v = ∑ c ∈ {c : Composition n | 1 < c.length}.toFinset, p c.length (q.applyComposition c v) + p 1 fun _ => q n v := by have A : (Finset.univ : Finset (Composition n)) = {c | 1 < Composition.length c}.toFinset ∪ {Composition.single n hn} := by refine Subset.antisymm (fun c _ => ?_) (subset_univ _) by_cases h : 1 < c.length · simp [h, Set.mem_toFinset (s := {c | 1 < Composition.length c})] · have : c.length = 1 := by refine (eq_iff_le_not_lt.2 ⟨?_, h⟩).symm; exact c.length_pos_of_pos hn rw [← Composition.eq_single_iff_length hn] at this simp [this] have B : Disjoint ({c | 1 < Composition.length c} : Set (Composition n)).toFinset {Composition.single n hn} := by simp [Set.mem_toFinset (s := {c | 1 < Composition.length c})] have C : p (Composition.single n hn).length (q.applyComposition (Composition.single n hn) v) = p 1 fun _ : Fin 1 => q n v := by apply p.congr (Composition.single_length hn) fun j hj1 _ => ?_ simp [applyComposition_single] simp [FormalMultilinearSeries.comp, A, Finset.sum_union B, C, -Set.toFinset_setOf, -add_right_inj, -Composition.single_length] #align formal_multilinear_series.comp_right_inv_aux1 FormalMultilinearSeries.comp_rightInv_aux1 theorem comp_rightInv_aux2 (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (n : ℕ) (v : Fin (n + 2) → F) : ∑ c ∈ {c : Composition (n + 2) | 1 < c.length}.toFinset, p c.length (applyComposition (fun k : ℕ => ite (k < n + 2) (p.rightInv i k) 0) c v) = ∑ c ∈ {c : Composition (n + 2) | 1 < c.length}.toFinset, p c.length ((p.rightInv i).applyComposition c v) := by have N : 0 < n + 2 := by norm_num refine sum_congr rfl fun c hc => p.congr rfl fun j hj1 hj2 => ?_ have : ∀ k, c.blocksFun k < n + 2 := by simp only [Set.mem_toFinset (s := {c : Composition (n + 2) | 1 < c.length}), Set.mem_setOf_eq] at hc simp [← Composition.ne_single_iff N, Composition.eq_single_iff_length, ne_of_gt hc] simp [applyComposition, this] #align formal_multilinear_series.comp_right_inv_aux2 FormalMultilinearSeries.comp_rightInv_aux2 theorem comp_rightInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) (h0 : p 0 = 0) : p.comp (rightInv p i) = id 𝕜 F := by ext (n v) match n with | 0 => simp only [h0, ContinuousMultilinearMap.zero_apply, id_apply_ne_one, Ne, not_false_iff, zero_ne_one, comp_coeff_zero'] | 1 => simp only [comp_coeff_one, h, rightInv_coeff_one, ContinuousLinearEquiv.apply_symm_apply, id_apply_one, ContinuousLinearEquiv.coe_apply, continuousMultilinearCurryFin1_symm_apply] | n + 2 => have N : 0 < n + 2 := by norm_num simp [comp_rightInv_aux1 N, h, rightInv, lt_irrefl n, show n + 2 ≠ 1 by omega, ← sub_eq_add_neg, sub_eq_zero, comp_rightInv_aux2, -Set.toFinset_setOf] #align formal_multilinear_series.comp_right_inv FormalMultilinearSeries.comp_rightInv theorem rightInv_coeff (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (n : ℕ) (hn : 2 ≤ n) : p.rightInv i n = -(i.symm : F →L[𝕜] E).compContinuousMultilinearMap (∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition n)), p.compAlongComposition (p.rightInv i) c) := by match n with | 0 => exact False.elim (zero_lt_two.not_le hn) | 1 => exact False.elim (one_lt_two.not_le hn) | n + 2 => simp only [rightInv, neg_inj] congr (config := { closePost := false }) 1 ext v have N : 0 < n + 2 := by norm_num have : ((p 1) fun i : Fin 1 => 0) = 0 := ContinuousMultilinearMap.map_zero _ simp [comp_rightInv_aux1 N, lt_irrefl n, this, comp_rightInv_aux2, -Set.toFinset_setOf] #align formal_multilinear_series.right_inv_coeff FormalMultilinearSeries.rightInv_coeff private theorem leftInv_eq_rightInv_aux (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) (h0 : p 0 = 0) : leftInv p i = rightInv p i := calc leftInv p i = (leftInv p i).comp (id 𝕜 F) := by simp _ = (leftInv p i).comp (p.comp (rightInv p i)) := by rw [comp_rightInv p i h h0] _ = ((leftInv p i).comp p).comp (rightInv p i) := by rw [comp_assoc] _ = (id 𝕜 E).comp (rightInv p i) := by rw [leftInv_comp p i h] _ = rightInv p i := by simp theorem leftInv_eq_rightInv (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (h : p 1 = (continuousMultilinearCurryFin1 𝕜 E F).symm i) : leftInv p i = rightInv p i := calc leftInv p i = leftInv p.removeZero i := by rw [leftInv_removeZero] _ = rightInv p.removeZero i := by apply leftInv_eq_rightInv_aux <;> simp; exact h _ = rightInv p i := by rw [rightInv_removeZero] #align formal_multilinear_series.left_inv_eq_right_inv FormalMultilinearSeries.leftInv_eq_rightInv theorem radius_right_inv_pos_of_radius_pos_aux1 (n : ℕ) (p : ℕ → ℝ) (hp : ∀ k, 0 ≤ p k) {r a : ℝ} (hr : 0 ≤ r) (ha : 0 ≤ a) : ∑ k ∈ Ico 2 (n + 1), a ^ k * ∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)), r ^ c.length * ∏ j, p (c.blocksFun j) ≤ ∑ j ∈ Ico 2 (n + 1), r ^ j * (∑ k ∈ Ico 1 n, a ^ k * p k) ^ j := calc ∑ k ∈ Ico 2 (n + 1), a ^ k * ∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)), r ^ c.length * ∏ j, p (c.blocksFun j) = ∑ k ∈ Ico 2 (n + 1), ∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)), ∏ j, r * (a ^ c.blocksFun j * p (c.blocksFun j)) := by simp_rw [mul_sum] congr! with k _ c rw [prod_mul_distrib, prod_mul_distrib, prod_pow_eq_pow_sum, Composition.sum_blocksFun, prod_const, card_fin] ring _ ≤ ∑ d ∈ compPartialSumTarget 2 (n + 1) n, ∏ j : Fin d.2.length, r * (a ^ d.2.blocksFun j * p (d.2.blocksFun j)) := by rw [sum_sigma'] refine sum_le_sum_of_subset_of_nonneg ?_ fun x _ _ => prod_nonneg fun j _ => mul_nonneg hr (mul_nonneg (pow_nonneg ha _) (hp _)) rintro ⟨k, c⟩ hd simp only [Set.mem_toFinset (s := {c | 1 < Composition.length c}), mem_Ico, mem_sigma, Set.mem_setOf_eq] at hd simp only [mem_compPartialSumTarget_iff] refine ⟨hd.2, c.length_le.trans_lt hd.1.2, fun j => ?_⟩ have : c ≠ Composition.single k (zero_lt_two.trans_le hd.1.1) := by simp [Composition.eq_single_iff_length, ne_of_gt hd.2] rw [Composition.ne_single_iff] at this exact (this j).trans_le (Nat.lt_succ_iff.mp hd.1.2) _ = ∑ e ∈ compPartialSumSource 2 (n + 1) n, ∏ j : Fin e.1, r * (a ^ e.2 j * p (e.2 j)) := by symm apply compChangeOfVariables_sum rintro ⟨k, blocks_fun⟩ H have K : (compChangeOfVariables 2 (n + 1) n ⟨k, blocks_fun⟩ H).snd.length = k := by simp congr 2 <;> try rw [K] rw [Fin.heq_fun_iff K.symm] intro j rw [compChangeOfVariables_blocksFun] _ = ∑ j ∈ Ico 2 (n + 1), r ^ j * (∑ k ∈ Ico 1 n, a ^ k * p k) ^ j := by rw [compPartialSumSource, ← sum_sigma' (Ico 2 (n + 1)) (fun k : ℕ => (Fintype.piFinset fun _ : Fin k => Ico 1 n : Finset (Fin k → ℕ))) (fun n e => ∏ j : Fin n, r * (a ^ e j * p (e j)))] congr! with j simp only [← @MultilinearMap.mkPiAlgebra_apply ℝ (Fin j) _ ℝ] simp only [← MultilinearMap.map_sum_finset (MultilinearMap.mkPiAlgebra ℝ (Fin j) ℝ) fun _ (m : ℕ) => r * (a ^ m * p m)] simp only [MultilinearMap.mkPiAlgebra_apply] simp [prod_const, ← mul_sum, mul_pow] #align formal_multilinear_series.radius_right_inv_pos_of_radius_pos_aux1 FormalMultilinearSeries.radius_right_inv_pos_of_radius_pos_aux1 theorem radius_rightInv_pos_of_radius_pos_aux2 {n : ℕ} (hn : 2 ≤ n + 1) (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) {r a C : ℝ} (hr : 0 ≤ r) (ha : 0 ≤ a) (hC : 0 ≤ C) (hp : ∀ n, ‖p n‖ ≤ C * r ^ n) : ∑ k ∈ Ico 1 (n + 1), a ^ k * ‖p.rightInv i k‖ ≤ ‖(i.symm : F →L[𝕜] E)‖ * a + ‖(i.symm : F →L[𝕜] E)‖ * C * ∑ k ∈ Ico 2 (n + 1), (r * ∑ j ∈ Ico 1 n, a ^ j * ‖p.rightInv i j‖) ^ k := let I := ‖(i.symm : F →L[𝕜] E)‖ calc ∑ k ∈ Ico 1 (n + 1), a ^ k * ‖p.rightInv i k‖ = a * I + ∑ k ∈ Ico 2 (n + 1), a ^ k * ‖p.rightInv i k‖ := by simp only [LinearIsometryEquiv.norm_map, pow_one, rightInv_coeff_one, show Ico (1 : ℕ) 2 = {1} from Nat.Ico_succ_singleton 1, sum_singleton, ← sum_Ico_consecutive _ one_le_two hn] _ = a * I + ∑ k ∈ Ico 2 (n + 1), a ^ k * ‖(i.symm : F →L[𝕜] E).compContinuousMultilinearMap (∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)), p.compAlongComposition (p.rightInv i) c)‖ := by congr! 2 with j hj rw [rightInv_coeff _ _ _ (mem_Ico.1 hj).1, norm_neg] _ ≤ a * ‖(i.symm : F →L[𝕜] E)‖ + ∑ k ∈ Ico 2 (n + 1), a ^ k * (I * ∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)), C * r ^ c.length * ∏ j, ‖p.rightInv i (c.blocksFun j)‖) := by gcongr with j apply (ContinuousLinearMap.norm_compContinuousMultilinearMap_le _ _).trans gcongr apply (norm_sum_le _ _).trans gcongr apply (compAlongComposition_norm _ _ _).trans gcongr apply hp _ = I * a + I * C * ∑ k ∈ Ico 2 (n + 1), a ^ k * ∑ c ∈ ({c | 1 < Composition.length c}.toFinset : Finset (Composition k)), r ^ c.length * ∏ j, ‖p.rightInv i (c.blocksFun j)‖ := by simp_rw [mul_assoc C, ← mul_sum, ← mul_assoc, mul_comm _ ‖(i.symm : F →L[𝕜] E)‖, mul_assoc, ← mul_sum, ← mul_assoc, mul_comm _ C, mul_assoc, ← mul_sum] ring _ ≤ I * a + I * C * ∑ k ∈ Ico 2 (n + 1), (r * ∑ j ∈ Ico 1 n, a ^ j * ‖p.rightInv i j‖) ^ k := by gcongr _ + _ * _ * ?_ simp_rw [mul_pow] apply radius_right_inv_pos_of_radius_pos_aux1 n (fun k => ‖p.rightInv i k‖) (fun k => norm_nonneg _) hr ha #align formal_multilinear_series.radius_right_inv_pos_of_radius_pos_aux2 FormalMultilinearSeries.radius_rightInv_pos_of_radius_pos_aux2
Mathlib/Analysis/Analytic/Inverse.lean
501
571
theorem radius_rightInv_pos_of_radius_pos (p : FormalMultilinearSeries 𝕜 E F) (i : E ≃L[𝕜] F) (hp : 0 < p.radius) : 0 < (p.rightInv i).radius := by
obtain ⟨C, r, Cpos, rpos, ple⟩ : ∃ (C r : _) (_ : 0 < C) (_ : 0 < r), ∀ n : ℕ, ‖p n‖ ≤ C * r ^ n := le_mul_pow_of_radius_pos p hp let I := ‖(i.symm : F →L[𝕜] E)‖ -- choose `a` small enough to make sure that `∑_{k ≤ n} aᵏ Qₖ` will be controllable by -- induction obtain ⟨a, apos, ha1, ha2⟩ : ∃ (a : _) (apos : 0 < a), 2 * I * C * r ^ 2 * (I + 1) ^ 2 * a ≤ 1 ∧ r * (I + 1) * a ≤ 1 / 2 := by have : Tendsto (fun a => 2 * I * C * r ^ 2 * (I + 1) ^ 2 * a) (𝓝 0) (𝓝 (2 * I * C * r ^ 2 * (I + 1) ^ 2 * 0)) := tendsto_const_nhds.mul tendsto_id have A : ∀ᶠ a in 𝓝 0, 2 * I * C * r ^ 2 * (I + 1) ^ 2 * a < 1 := by apply (tendsto_order.1 this).2; simp [zero_lt_one] have : Tendsto (fun a => r * (I + 1) * a) (𝓝 0) (𝓝 (r * (I + 1) * 0)) := tendsto_const_nhds.mul tendsto_id have B : ∀ᶠ a in 𝓝 0, r * (I + 1) * a < 1 / 2 := by apply (tendsto_order.1 this).2; simp [zero_lt_one] have C : ∀ᶠ a in 𝓝[>] (0 : ℝ), (0 : ℝ) < a := by filter_upwards [self_mem_nhdsWithin] with _ ha using ha rcases (C.and ((A.and B).filter_mono inf_le_left)).exists with ⟨a, ha⟩ exact ⟨a, ha.1, ha.2.1.le, ha.2.2.le⟩ -- check by induction that the partial sums are suitably bounded, using the choice of `a` and the -- inductive control from Lemma `radius_rightInv_pos_of_radius_pos_aux2`. let S n := ∑ k ∈ Ico 1 n, a ^ k * ‖p.rightInv i k‖ have IRec : ∀ n, 1 ≤ n → S n ≤ (I + 1) * a := by apply Nat.le_induction · simp only [S] rw [Ico_eq_empty_of_le (le_refl 1), sum_empty] exact mul_nonneg (add_nonneg (norm_nonneg _) zero_le_one) apos.le · intro n one_le_n hn have In : 2 ≤ n + 1 := by linarith only [one_le_n] have rSn : r * S n ≤ 1 / 2 := calc r * S n ≤ r * ((I + 1) * a) := by gcongr _ ≤ 1 / 2 := by rwa [← mul_assoc] calc S (n + 1) ≤ I * a + I * C * ∑ k ∈ Ico 2 (n + 1), (r * S n) ^ k := radius_rightInv_pos_of_radius_pos_aux2 In p i rpos.le apos.le Cpos.le ple _ = I * a + I * C * (((r * S n) ^ 2 - (r * S n) ^ (n + 1)) / (1 - r * S n)) := by rw [geom_sum_Ico' _ In]; exact ne_of_lt (rSn.trans_lt (by norm_num)) _ ≤ I * a + I * C * ((r * S n) ^ 2 / (1 / 2)) := by gcongr · simp only [sub_le_self_iff] positivity · linarith only [rSn] _ = I * a + 2 * I * C * (r * S n) ^ 2 := by ring _ ≤ I * a + 2 * I * C * (r * ((I + 1) * a)) ^ 2 := by gcongr _ = (I + 2 * I * C * r ^ 2 * (I + 1) ^ 2 * a) * a := by ring _ ≤ (I + 1) * a := by gcongr -- conclude that all coefficients satisfy `aⁿ Qₙ ≤ (I + 1) a`. let a' : NNReal := ⟨a, apos.le⟩ suffices H : (a' : ENNReal) ≤ (p.rightInv i).radius by apply lt_of_lt_of_le _ H -- Prior to leanprover/lean4#2734, this was `exact_mod_cast apos`. simpa only [ENNReal.coe_pos] apply le_radius_of_bound _ ((I + 1) * a) fun n => ?_ by_cases hn : n = 0 · have : ‖p.rightInv i n‖ = ‖p.rightInv i 0‖ := by congr <;> try rw [hn] simp only [this, norm_zero, zero_mul, rightInv_coeff_zero] positivity · have one_le_n : 1 ≤ n := bot_lt_iff_ne_bot.2 hn calc ‖p.rightInv i n‖ * (a' : ℝ) ^ n = a ^ n * ‖p.rightInv i n‖ := mul_comm _ _ _ ≤ ∑ k ∈ Ico 1 (n + 1), a ^ k * ‖p.rightInv i k‖ := (haveI : ∀ k ∈ Ico 1 (n + 1), 0 ≤ a ^ k * ‖p.rightInv i k‖ := fun k _ => by positivity single_le_sum this (by simp [one_le_n])) _ ≤ (I + 1) * a := IRec (n + 1) (by set_option tactic.skipAssignedInstances false in norm_num)
import Mathlib.CategoryTheory.Limits.Preserves.Basic #align_import category_theory.limits.preserves.limits from "leanprover-community/mathlib"@"e97cf15cd1aec9bd5c193b2ffac5a6dc9118912b" universe w' w v₁ v₂ u₁ u₂ noncomputable section namespace CategoryTheory open Category Limits variable {C : Type u₁} [Category.{v₁} C] variable {D : Type u₂} [Category.{v₂} D] variable (G : C ⥤ D) variable {J : Type w} [Category.{w'} J] variable (F : J ⥤ C) section variable [PreservesLimit F G] @[simp] theorem preserves_lift_mapCone (c₁ c₂ : Cone F) (t : IsLimit c₁) : (PreservesLimit.preserves t).lift (G.mapCone c₂) = G.map (t.lift c₂) := ((PreservesLimit.preserves t).uniq (G.mapCone c₂) _ (by simp [← G.map_comp])).symm #align category_theory.preserves_lift_map_cone CategoryTheory.preserves_lift_mapCone variable [HasLimit F] def preservesLimitIso : G.obj (limit F) ≅ limit (F ⋙ G) := (PreservesLimit.preserves (limit.isLimit _)).conePointUniqueUpToIso (limit.isLimit _) #align category_theory.preserves_limit_iso CategoryTheory.preservesLimitIso @[reassoc (attr := simp)] theorem preservesLimitsIso_hom_π (j) : (preservesLimitIso G F).hom ≫ limit.π _ j = G.map (limit.π F j) := IsLimit.conePointUniqueUpToIso_hom_comp _ _ j #align category_theory.preserves_limits_iso_hom_π CategoryTheory.preservesLimitsIso_hom_π @[reassoc (attr := simp)] theorem preservesLimitsIso_inv_π (j) : (preservesLimitIso G F).inv ≫ G.map (limit.π F j) = limit.π _ j := IsLimit.conePointUniqueUpToIso_inv_comp _ _ j #align category_theory.preserves_limits_iso_inv_π CategoryTheory.preservesLimitsIso_inv_π @[reassoc (attr := simp)]
Mathlib/CategoryTheory/Limits/Preserves/Limits.lean
69
73
theorem lift_comp_preservesLimitsIso_hom (t : Cone F) : G.map (limit.lift _ t) ≫ (preservesLimitIso G F).hom = limit.lift (F ⋙ G) (G.mapCone _) := by
ext simp [← G.map_comp]
import Mathlib.Topology.Bases import Mathlib.Order.Filter.CountableInter import Mathlib.Topology.Compactness.SigmaCompact open Set Filter Topology TopologicalSpace universe u v variable {X : Type u} {Y : Type v} {ι : Type*} variable [TopologicalSpace X] [TopologicalSpace Y] {s t : Set X} section Lindelof def IsLindelof (s : Set X) := ∀ ⦃f⦄ [NeBot f] [CountableInterFilter f], f ≤ 𝓟 s → ∃ x ∈ s, ClusterPt x f theorem IsLindelof.compl_mem_sets (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, sᶜ ∈ 𝓝 x ⊓ f) : sᶜ ∈ f := by contrapose! hf simp only [not_mem_iff_inf_principal_compl, compl_compl, inf_assoc] at hf ⊢ exact hs inf_le_right theorem IsLindelof.compl_mem_sets_of_nhdsWithin (hs : IsLindelof s) {f : Filter X} [CountableInterFilter f] (hf : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, tᶜ ∈ f) : sᶜ ∈ f := by refine hs.compl_mem_sets fun x hx ↦ ?_ rw [← disjoint_principal_right, disjoint_right_comm, (basis_sets _).disjoint_iff_left] exact hf x hx @[elab_as_elim] theorem IsLindelof.induction_on (hs : IsLindelof s) {p : Set X → Prop} (hmono : ∀ ⦃s t⦄, s ⊆ t → p t → p s) (hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, p s) → p (⋃₀ S)) (hnhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, p t) : p s := by let f : Filter X := ofCountableUnion p hcountable_union (fun t ht _ hsub ↦ hmono hsub ht) have : sᶜ ∈ f := hs.compl_mem_sets_of_nhdsWithin (by simpa [f] using hnhds) rwa [← compl_compl s] theorem IsLindelof.inter_right (hs : IsLindelof s) (ht : IsClosed t) : IsLindelof (s ∩ t) := by intro f hnf _ hstf rw [← inf_principal, le_inf_iff] at hstf obtain ⟨x, hsx, hx⟩ : ∃ x ∈ s, ClusterPt x f := hs hstf.1 have hxt : x ∈ t := ht.mem_of_nhdsWithin_neBot <| hx.mono hstf.2 exact ⟨x, ⟨hsx, hxt⟩, hx⟩ theorem IsLindelof.inter_left (ht : IsLindelof t) (hs : IsClosed s) : IsLindelof (s ∩ t) := inter_comm t s ▸ ht.inter_right hs theorem IsLindelof.diff (hs : IsLindelof s) (ht : IsOpen t) : IsLindelof (s \ t) := hs.inter_right (isClosed_compl_iff.mpr ht) theorem IsLindelof.of_isClosed_subset (hs : IsLindelof s) (ht : IsClosed t) (h : t ⊆ s) : IsLindelof t := inter_eq_self_of_subset_right h ▸ hs.inter_right ht theorem IsLindelof.image_of_continuousOn {f : X → Y} (hs : IsLindelof s) (hf : ContinuousOn f s) : IsLindelof (f '' s) := by intro l lne _ ls have : NeBot (l.comap f ⊓ 𝓟 s) := comap_inf_principal_neBot_of_image_mem lne (le_principal_iff.1 ls) obtain ⟨x, hxs, hx⟩ : ∃ x ∈ s, ClusterPt x (l.comap f ⊓ 𝓟 s) := @hs _ this _ inf_le_right haveI := hx.neBot use f x, mem_image_of_mem f hxs have : Tendsto f (𝓝 x ⊓ (comap f l ⊓ 𝓟 s)) (𝓝 (f x) ⊓ l) := by convert (hf x hxs).inf (@tendsto_comap _ _ f l) using 1 rw [nhdsWithin] ac_rfl exact this.neBot theorem IsLindelof.image {f : X → Y} (hs : IsLindelof s) (hf : Continuous f) : IsLindelof (f '' s) := hs.image_of_continuousOn hf.continuousOn theorem IsLindelof.adherence_nhdset {f : Filter X} [CountableInterFilter f] (hs : IsLindelof s) (hf₂ : f ≤ 𝓟 s) (ht₁ : IsOpen t) (ht₂ : ∀ x ∈ s, ClusterPt x f → x ∈ t) : t ∈ f := (eq_or_neBot _).casesOn mem_of_eq_bot fun _ ↦ let ⟨x, hx, hfx⟩ := @hs (f ⊓ 𝓟 tᶜ) _ _ <| inf_le_of_left_le hf₂ have : x ∈ t := ht₂ x hx hfx.of_inf_left have : tᶜ ∩ t ∈ 𝓝[tᶜ] x := inter_mem_nhdsWithin _ (ht₁.mem_nhds this) have A : 𝓝[tᶜ] x = ⊥ := empty_mem_iff_bot.1 <| compl_inter_self t ▸ this have : 𝓝[tᶜ] x ≠ ⊥ := hfx.of_inf_right.ne absurd A this theorem IsLindelof.elim_countable_subcover {ι : Type v} (hs : IsLindelof s) (U : ι → Set X) (hUo : ∀ i, IsOpen (U i)) (hsU : s ⊆ ⋃ i, U i) : ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i) := by have hmono : ∀ ⦃s t : Set X⦄, s ⊆ t → (∃ r : Set ι, r.Countable ∧ t ⊆ ⋃ i ∈ r, U i) → (∃ r : Set ι, r.Countable ∧ s ⊆ ⋃ i ∈ r, U i) := by intro _ _ hst ⟨r, ⟨hrcountable, hsub⟩⟩ exact ⟨r, hrcountable, Subset.trans hst hsub⟩ have hcountable_union : ∀ (S : Set (Set X)), S.Countable → (∀ s ∈ S, ∃ r : Set ι, r.Countable ∧ (s ⊆ ⋃ i ∈ r, U i)) → ∃ r : Set ι, r.Countable ∧ (⋃₀ S ⊆ ⋃ i ∈ r, U i) := by intro S hS hsr choose! r hr using hsr refine ⟨⋃ s ∈ S, r s, hS.biUnion_iff.mpr (fun s hs ↦ (hr s hs).1), ?_⟩ refine sUnion_subset ?h.right.h simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and'] exact fun i is x hx ↦ mem_biUnion is ((hr i is).2 hx) have h_nhds : ∀ x ∈ s, ∃ t ∈ 𝓝[s] x, ∃ r : Set ι, r.Countable ∧ (t ⊆ ⋃ i ∈ r, U i) := by intro x hx let ⟨i, hi⟩ := mem_iUnion.1 (hsU hx) refine ⟨U i, mem_nhdsWithin_of_mem_nhds ((hUo i).mem_nhds hi), {i}, by simp, ?_⟩ simp only [mem_singleton_iff, iUnion_iUnion_eq_left] exact Subset.refl _ exact hs.induction_on hmono hcountable_union h_nhds theorem IsLindelof.elim_nhds_subcover' (hs : IsLindelof s) (U : ∀ x ∈ s, Set X) (hU : ∀ x (hx : x ∈ s), U x ‹x ∈ s› ∈ 𝓝 x) : ∃ t : Set s, t.Countable ∧ s ⊆ ⋃ x ∈ t, U (x : s) x.2 := by have := hs.elim_countable_subcover (fun x : s ↦ interior (U x x.2)) (fun _ ↦ isOpen_interior) fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, mem_interior_iff_mem_nhds.2 <| hU _ _⟩ rcases this with ⟨r, ⟨hr, hs⟩⟩ use r, hr apply Subset.trans hs apply iUnion₂_subset intro i hi apply Subset.trans interior_subset exact subset_iUnion_of_subset i (subset_iUnion_of_subset hi (Subset.refl _)) theorem IsLindelof.elim_nhds_subcover (hs : IsLindelof s) (U : X → Set X) (hU : ∀ x ∈ s, U x ∈ 𝓝 x) : ∃ t : Set X, t.Countable ∧ (∀ x ∈ t, x ∈ s) ∧ s ⊆ ⋃ x ∈ t, U x := by let ⟨t, ⟨htc, htsub⟩⟩ := hs.elim_nhds_subcover' (fun x _ ↦ U x) hU refine ⟨↑t, Countable.image htc Subtype.val, ?_⟩ constructor · intro _ simp only [mem_image, Subtype.exists, exists_and_right, exists_eq_right, forall_exists_index] tauto · have : ⋃ x ∈ t, U ↑x = ⋃ x ∈ Subtype.val '' t, U x := biUnion_image.symm rwa [← this] theorem IsLindelof.disjoint_nhdsSet_left {l : Filter X} [CountableInterFilter l] (hs : IsLindelof s) : Disjoint (𝓝ˢ s) l ↔ ∀ x ∈ s, Disjoint (𝓝 x) l := by refine ⟨fun h x hx ↦ h.mono_left <| nhds_le_nhdsSet hx, fun H ↦ ?_⟩ choose! U hxU hUl using fun x hx ↦ (nhds_basis_opens x).disjoint_iff_left.1 (H x hx) choose hxU hUo using hxU rcases hs.elim_nhds_subcover U fun x hx ↦ (hUo x hx).mem_nhds (hxU x hx) with ⟨t, htc, hts, hst⟩ refine (hasBasis_nhdsSet _).disjoint_iff_left.2 ⟨⋃ x ∈ t, U x, ⟨isOpen_biUnion fun x hx ↦ hUo x (hts x hx), hst⟩, ?_⟩ rw [compl_iUnion₂] exact (countable_bInter_mem htc).mpr (fun i hi ↦ hUl _ (hts _ hi)) theorem IsLindelof.disjoint_nhdsSet_right {l : Filter X} [CountableInterFilter l] (hs : IsLindelof s) : Disjoint l (𝓝ˢ s) ↔ ∀ x ∈ s, Disjoint l (𝓝 x) := by simpa only [disjoint_comm] using hs.disjoint_nhdsSet_left theorem IsLindelof.elim_countable_subfamily_closed {ι : Type v} (hs : IsLindelof s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : (s ∩ ⋂ i, t i) = ∅) : ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅ := by let U := tᶜ have hUo : ∀ i, IsOpen (U i) := by simp only [U, Pi.compl_apply, isOpen_compl_iff]; exact htc have hsU : s ⊆ ⋃ i, U i := by simp only [U, Pi.compl_apply] rw [← compl_iInter] apply disjoint_compl_left_iff_subset.mp simp only [compl_iInter, compl_iUnion, compl_compl] apply Disjoint.symm exact disjoint_iff_inter_eq_empty.mpr hst rcases hs.elim_countable_subcover U hUo hsU with ⟨u, ⟨hucount, husub⟩⟩ use u, hucount rw [← disjoint_compl_left_iff_subset] at husub simp only [U, Pi.compl_apply, compl_iUnion, compl_compl] at husub exact disjoint_iff_inter_eq_empty.mp (Disjoint.symm husub) theorem IsLindelof.inter_iInter_nonempty {ι : Type v} (hs : IsLindelof s) (t : ι → Set X) (htc : ∀ i, IsClosed (t i)) (hst : ∀ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i).Nonempty) : (s ∩ ⋂ i, t i).Nonempty := by contrapose! hst rcases hs.elim_countable_subfamily_closed t htc hst with ⟨u, ⟨_, husub⟩⟩ exact ⟨u, fun _ ↦ husub⟩ theorem IsLindelof.elim_countable_subcover_image {b : Set ι} {c : ι → Set X} (hs : IsLindelof s) (hc₁ : ∀ i ∈ b, IsOpen (c i)) (hc₂ : s ⊆ ⋃ i ∈ b, c i) : ∃ b', b' ⊆ b ∧ Set.Countable b' ∧ s ⊆ ⋃ i ∈ b', c i := by simp only [Subtype.forall', biUnion_eq_iUnion] at hc₁ hc₂ rcases hs.elim_countable_subcover (fun i ↦ c i : b → Set X) hc₁ hc₂ with ⟨d, hd⟩ refine ⟨Subtype.val '' d, by simp, Countable.image hd.1 Subtype.val, ?_⟩ rw [biUnion_image] exact hd.2 theorem isLindelof_of_countable_subcover (h : ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Set ι, t.Countable ∧ s ⊆ ⋃ i ∈ t, U i) : IsLindelof s := fun f hf hfs ↦ by contrapose! h simp only [ClusterPt, not_neBot, ← disjoint_iff, SetCoe.forall', (nhds_basis_opens _).disjoint_iff_left] at h choose fsub U hU hUf using h refine ⟨s, U, fun x ↦ (hU x).2, fun x hx ↦ mem_iUnion.2 ⟨⟨x, hx⟩, (hU _).1 ⟩, ?_⟩ intro t ht h have uinf := f.sets_of_superset (le_principal_iff.1 fsub) h have uninf : ⋂ i ∈ t, (U i)ᶜ ∈ f := (countable_bInter_mem ht).mpr (fun _ _ ↦ hUf _) rw [← compl_iUnion₂] at uninf have uninf := compl_not_mem uninf simp only [compl_compl] at uninf contradiction theorem isLindelof_of_countable_subfamily_closed (h : ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅) : IsLindelof s := isLindelof_of_countable_subcover fun U hUo hsU ↦ by rw [← disjoint_compl_right_iff_subset, compl_iUnion, disjoint_iff] at hsU rcases h (fun i ↦ (U i)ᶜ) (fun i ↦ (hUo _).isClosed_compl) hsU with ⟨t, ht⟩ refine ⟨t, ?_⟩ rwa [← disjoint_compl_right_iff_subset, compl_iUnion₂, disjoint_iff] theorem isLindelof_iff_countable_subcover : IsLindelof s ↔ ∀ {ι : Type u} (U : ι → Set X), (∀ i, IsOpen (U i)) → (s ⊆ ⋃ i, U i) → ∃ t : Set ι, t.Countable ∧ s ⊆ ⋃ i ∈ t, U i := ⟨fun hs ↦ hs.elim_countable_subcover, isLindelof_of_countable_subcover⟩ theorem isLindelof_iff_countable_subfamily_closed : IsLindelof s ↔ ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → (s ∩ ⋂ i, t i) = ∅ → ∃ u : Set ι, u.Countable ∧ (s ∩ ⋂ i ∈ u, t i) = ∅ := ⟨fun hs ↦ hs.elim_countable_subfamily_closed, isLindelof_of_countable_subfamily_closed⟩ @[simp] theorem isLindelof_empty : IsLindelof (∅ : Set X) := fun _f hnf _ hsf ↦ Not.elim hnf.ne <| empty_mem_iff_bot.1 <| le_principal_iff.1 hsf @[simp] theorem isLindelof_singleton {x : X} : IsLindelof ({x} : Set X) := fun f hf _ hfa ↦ ⟨x, rfl, ClusterPt.of_le_nhds' (hfa.trans <| by simpa only [principal_singleton] using pure_le_nhds x) hf⟩ theorem Set.Subsingleton.isLindelof (hs : s.Subsingleton) : IsLindelof s := Subsingleton.induction_on hs isLindelof_empty fun _ ↦ isLindelof_singleton theorem Set.Countable.isLindelof_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Countable) (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := by apply isLindelof_of_countable_subcover intro i U hU hUcover have hiU : ∀ i ∈ s, f i ⊆ ⋃ i, U i := fun _ is ↦ _root_.subset_trans (subset_biUnion_of_mem is) hUcover have iSets := fun i is ↦ (hf i is).elim_countable_subcover U hU (hiU i is) choose! r hr using iSets use ⋃ i ∈ s, r i constructor · refine (Countable.biUnion_iff hs).mpr ?h.left.a exact fun s hs ↦ (hr s hs).1 · refine iUnion₂_subset ?h.right.h intro i is simp only [mem_iUnion, exists_prop, iUnion_exists, biUnion_and'] intro x hx exact mem_biUnion is ((hr i is).2 hx) theorem Set.Finite.isLindelof_biUnion {s : Set ι} {f : ι → Set X} (hs : s.Finite) (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := Set.Countable.isLindelof_biUnion (countable hs) hf theorem Finset.isLindelof_biUnion (s : Finset ι) {f : ι → Set X} (hf : ∀ i ∈ s, IsLindelof (f i)) : IsLindelof (⋃ i ∈ s, f i) := s.finite_toSet.isLindelof_biUnion hf theorem isLindelof_accumulate {K : ℕ → Set X} (hK : ∀ n, IsLindelof (K n)) (n : ℕ) : IsLindelof (Accumulate K n) := (finite_le_nat n).isLindelof_biUnion fun k _ => hK k theorem Set.Countable.isLindelof_sUnion {S : Set (Set X)} (hf : S.Countable) (hc : ∀ s ∈ S, IsLindelof s) : IsLindelof (⋃₀ S) := by rw [sUnion_eq_biUnion]; exact hf.isLindelof_biUnion hc theorem Set.Finite.isLindelof_sUnion {S : Set (Set X)} (hf : S.Finite) (hc : ∀ s ∈ S, IsLindelof s) : IsLindelof (⋃₀ S) := by rw [sUnion_eq_biUnion]; exact hf.isLindelof_biUnion hc theorem isLindelof_iUnion {ι : Sort*} {f : ι → Set X} [Countable ι] (h : ∀ i, IsLindelof (f i)) : IsLindelof (⋃ i, f i) := (countable_range f).isLindelof_sUnion <| forall_mem_range.2 h theorem Set.Countable.isLindelof (hs : s.Countable) : IsLindelof s := biUnion_of_singleton s ▸ hs.isLindelof_biUnion fun _ _ => isLindelof_singleton theorem Set.Finite.isLindelof (hs : s.Finite) : IsLindelof s := biUnion_of_singleton s ▸ hs.isLindelof_biUnion fun _ _ => isLindelof_singleton theorem IsLindelof.countable_of_discrete [DiscreteTopology X] (hs : IsLindelof s) : s.Countable := by have : ∀ x : X, ({x} : Set X) ∈ 𝓝 x := by simp [nhds_discrete] rcases hs.elim_nhds_subcover (fun x => {x}) fun x _ => this x with ⟨t, ht, _, hssubt⟩ rw [biUnion_of_singleton] at hssubt exact ht.mono hssubt theorem isLindelof_iff_countable [DiscreteTopology X] : IsLindelof s ↔ s.Countable := ⟨fun h => h.countable_of_discrete, fun h => h.isLindelof⟩ theorem IsLindelof.union (hs : IsLindelof s) (ht : IsLindelof t) : IsLindelof (s ∪ t) := by rw [union_eq_iUnion]; exact isLindelof_iUnion fun b => by cases b <;> assumption protected theorem IsLindelof.insert (hs : IsLindelof s) (a) : IsLindelof (insert a s) := isLindelof_singleton.union hs theorem isLindelof_open_iff_eq_countable_iUnion_of_isTopologicalBasis (b : ι → Set X) (hb : IsTopologicalBasis (Set.range b)) (hb' : ∀ i, IsLindelof (b i)) (U : Set X) : IsLindelof U ∧ IsOpen U ↔ ∃ s : Set ι, s.Countable ∧ U = ⋃ i ∈ s, b i := by constructor · rintro ⟨h₁, h₂⟩ obtain ⟨Y, f, rfl, hf⟩ := hb.open_eq_iUnion h₂ choose f' hf' using hf have : b ∘ f' = f := funext hf' subst this obtain ⟨t, ht⟩ := h₁.elim_countable_subcover (b ∘ f') (fun i => hb.isOpen (Set.mem_range_self _)) Subset.rfl refine ⟨t.image f', Countable.image (ht.1) f', le_antisymm ?_ ?_⟩ · refine Set.Subset.trans ht.2 ?_ simp only [Set.iUnion_subset_iff] intro i hi rw [← Set.iUnion_subtype (fun x : ι => x ∈ t.image f') fun i => b i.1] exact Set.subset_iUnion (fun i : t.image f' => b i) ⟨_, mem_image_of_mem _ hi⟩ · apply Set.iUnion₂_subset rintro i hi obtain ⟨j, -, rfl⟩ := (mem_image ..).mp hi exact Set.subset_iUnion (b ∘ f') j · rintro ⟨s, hs, rfl⟩ constructor · exact hs.isLindelof_biUnion fun i _ => hb' i · exact isOpen_biUnion fun i _ => hb.isOpen (Set.mem_range_self _) def Filter.coLindelof (X : Type*) [TopologicalSpace X] : Filter X := --`Filter.coLindelof` is the filter generated by complements to Lindelöf sets. ⨅ (s : Set X) (_ : IsLindelof s), 𝓟 sᶜ theorem hasBasis_coLindelof : (coLindelof X).HasBasis IsLindelof compl := hasBasis_biInf_principal' (fun s hs t ht => ⟨s ∪ t, hs.union ht, compl_subset_compl.2 subset_union_left, compl_subset_compl.2 subset_union_right⟩) ⟨∅, isLindelof_empty⟩ theorem mem_coLindelof : s ∈ coLindelof X ↔ ∃ t, IsLindelof t ∧ tᶜ ⊆ s := hasBasis_coLindelof.mem_iff theorem mem_coLindelof' : s ∈ coLindelof X ↔ ∃ t, IsLindelof t ∧ sᶜ ⊆ t := mem_coLindelof.trans <| exists_congr fun _ => and_congr_right fun _ => compl_subset_comm theorem _root_.IsLindelof.compl_mem_coLindelof (hs : IsLindelof s) : sᶜ ∈ coLindelof X := hasBasis_coLindelof.mem_of_mem hs theorem coLindelof_le_cofinite : coLindelof X ≤ cofinite := fun s hs => compl_compl s ▸ hs.isLindelof.compl_mem_coLindelof theorem Tendsto.isLindelof_insert_range_of_coLindelof {f : X → Y} {y} (hf : Tendsto f (coLindelof X) (𝓝 y)) (hfc : Continuous f) : IsLindelof (insert y (range f)) := by intro l hne _ hle by_cases hy : ClusterPt y l · exact ⟨y, Or.inl rfl, hy⟩ simp only [clusterPt_iff, not_forall, ← not_disjoint_iff_nonempty_inter, not_not] at hy rcases hy with ⟨s, hsy, t, htl, hd⟩ rcases mem_coLindelof.1 (hf hsy) with ⟨K, hKc, hKs⟩ have : f '' K ∈ l := by filter_upwards [htl, le_principal_iff.1 hle] with y hyt hyf rcases hyf with (rfl | ⟨x, rfl⟩) exacts [(hd.le_bot ⟨mem_of_mem_nhds hsy, hyt⟩).elim, mem_image_of_mem _ (not_not.1 fun hxK => hd.le_bot ⟨hKs hxK, hyt⟩)] rcases hKc.image hfc (le_principal_iff.2 this) with ⟨y, hy, hyl⟩ exact ⟨y, Or.inr <| image_subset_range _ _ hy, hyl⟩ def Filter.coclosedLindelof (X : Type*) [TopologicalSpace X] : Filter X := -- `Filter.coclosedLindelof` is the filter generated by complements to closed Lindelof sets. ⨅ (s : Set X) (_ : IsClosed s) (_ : IsLindelof s), 𝓟 sᶜ theorem hasBasis_coclosedLindelof : (Filter.coclosedLindelof X).HasBasis (fun s => IsClosed s ∧ IsLindelof s) compl := by simp only [Filter.coclosedLindelof, iInf_and'] refine hasBasis_biInf_principal' ?_ ⟨∅, isClosed_empty, isLindelof_empty⟩ rintro s ⟨hs₁, hs₂⟩ t ⟨ht₁, ht₂⟩ exact ⟨s ∪ t, ⟨⟨hs₁.union ht₁, hs₂.union ht₂⟩, compl_subset_compl.2 subset_union_left, compl_subset_compl.2 subset_union_right⟩⟩ theorem mem_coclosedLindelof : s ∈ coclosedLindelof X ↔ ∃ t, IsClosed t ∧ IsLindelof t ∧ tᶜ ⊆ s := by simp only [hasBasis_coclosedLindelof.mem_iff, and_assoc] theorem mem_coclosed_Lindelof' : s ∈ coclosedLindelof X ↔ ∃ t, IsClosed t ∧ IsLindelof t ∧ sᶜ ⊆ t := by simp only [mem_coclosedLindelof, compl_subset_comm] theorem coLindelof_le_coclosedLindelof : coLindelof X ≤ coclosedLindelof X := iInf_mono fun _ => le_iInf fun _ => le_rfl theorem IsLindeof.compl_mem_coclosedLindelof_of_isClosed (hs : IsLindelof s) (hs' : IsClosed s) : sᶜ ∈ Filter.coclosedLindelof X := hasBasis_coclosedLindelof.mem_of_mem ⟨hs', hs⟩ class LindelofSpace (X : Type*) [TopologicalSpace X] : Prop where isLindelof_univ : IsLindelof (univ : Set X) instance (priority := 10) Subsingleton.lindelofSpace [Subsingleton X] : LindelofSpace X := ⟨subsingleton_univ.isLindelof⟩ theorem isLindelof_univ_iff : IsLindelof (univ : Set X) ↔ LindelofSpace X := ⟨fun h => ⟨h⟩, fun h => h.1⟩ theorem isLindelof_univ [h : LindelofSpace X] : IsLindelof (univ : Set X) := h.isLindelof_univ theorem cluster_point_of_Lindelof [LindelofSpace X] (f : Filter X) [NeBot f] [CountableInterFilter f] : ∃ x, ClusterPt x f := by simpa using isLindelof_univ (show f ≤ 𝓟 univ by simp) theorem LindelofSpace.elim_nhds_subcover [LindelofSpace X] (U : X → Set X) (hU : ∀ x, U x ∈ 𝓝 x) : ∃ t : Set X, t.Countable ∧ ⋃ x ∈ t, U x = univ := by obtain ⟨t, tc, -, s⟩ := IsLindelof.elim_nhds_subcover isLindelof_univ U fun x _ => hU x use t, tc apply top_unique s theorem lindelofSpace_of_countable_subfamily_closed (h : ∀ {ι : Type u} (t : ι → Set X), (∀ i, IsClosed (t i)) → ⋂ i, t i = ∅ → ∃ u : Set ι, u.Countable ∧ ⋂ i ∈ u, t i = ∅) : LindelofSpace X where isLindelof_univ := isLindelof_of_countable_subfamily_closed fun t => by simpa using h t theorem IsClosed.isLindelof [LindelofSpace X] (h : IsClosed s) : IsLindelof s := isLindelof_univ.of_isClosed_subset h (subset_univ _) theorem IsCompact.isLindelof (hs : IsCompact s) : IsLindelof s := by tauto theorem IsSigmaCompact.isLindelof (hs : IsSigmaCompact s) : IsLindelof s := by rw [IsSigmaCompact] at hs rcases hs with ⟨K, ⟨hc, huniv⟩⟩ rw [← huniv] have hl : ∀ n, IsLindelof (K n) := fun n ↦ IsCompact.isLindelof (hc n) exact isLindelof_iUnion hl instance (priority := 100) [CompactSpace X] : LindelofSpace X := { isLindelof_univ := isCompact_univ.isLindelof} instance (priority := 100) [SigmaCompactSpace X] : LindelofSpace X := { isLindelof_univ := isSigmaCompact_univ.isLindelof} class NonLindelofSpace (X : Type*) [TopologicalSpace X] : Prop where nonLindelof_univ : ¬IsLindelof (univ : Set X) lemma nonLindelof_univ (X : Type*) [TopologicalSpace X] [NonLindelofSpace X] : ¬IsLindelof (univ : Set X) := NonLindelofSpace.nonLindelof_univ theorem IsLindelof.ne_univ [NonLindelofSpace X] (hs : IsLindelof s) : s ≠ univ := fun h ↦ nonLindelof_univ X (h ▸ hs) instance [NonLindelofSpace X] : NeBot (Filter.coLindelof X) := by refine hasBasis_coLindelof.neBot_iff.2 fun {s} hs => ?_ contrapose hs rw [not_nonempty_iff_eq_empty, compl_empty_iff] at hs rw [hs] exact nonLindelof_univ X @[simp] theorem Filter.coLindelof_eq_bot [LindelofSpace X] : Filter.coLindelof X = ⊥ := hasBasis_coLindelof.eq_bot_iff.mpr ⟨Set.univ, isLindelof_univ, Set.compl_univ⟩ instance [NonLindelofSpace X] : NeBot (Filter.coclosedLindelof X) := neBot_of_le coLindelof_le_coclosedLindelof theorem nonLindelofSpace_of_neBot (_ : NeBot (Filter.coLindelof X)) : NonLindelofSpace X := ⟨fun h' => (Filter.nonempty_of_mem h'.compl_mem_coLindelof).ne_empty compl_univ⟩ theorem Filter.coLindelof_neBot_iff : NeBot (Filter.coLindelof X) ↔ NonLindelofSpace X := ⟨nonLindelofSpace_of_neBot, fun _ => inferInstance⟩ theorem not_LindelofSpace_iff : ¬LindelofSpace X ↔ NonLindelofSpace X := ⟨fun h₁ => ⟨fun h₂ => h₁ ⟨h₂⟩⟩, fun ⟨h₁⟩ ⟨h₂⟩ => h₁ h₂⟩ instance (priority := 100) [CompactSpace X] : LindelofSpace X := { isLindelof_univ := isCompact_univ.isLindelof} theorem countable_of_Lindelof_of_discrete [LindelofSpace X] [DiscreteTopology X] : Countable X := countable_univ_iff.mp isLindelof_univ.countable_of_discrete theorem countable_cover_nhds_interior [LindelofSpace X] {U : X → Set X} (hU : ∀ x, U x ∈ 𝓝 x) : ∃ t : Set X, t.Countable ∧ ⋃ x ∈ t, interior (U x) = univ := let ⟨t, ht⟩ := isLindelof_univ.elim_countable_subcover (fun x => interior (U x)) (fun _ => isOpen_interior) fun x _ => mem_iUnion.2 ⟨x, mem_interior_iff_mem_nhds.2 (hU x)⟩ ⟨t, ⟨ht.1, univ_subset_iff.1 ht.2⟩⟩ theorem countable_cover_nhds [LindelofSpace X] {U : X → Set X} (hU : ∀ x, U x ∈ 𝓝 x) : ∃ t : Set X, t.Countable ∧ ⋃ x ∈ t, U x = univ := let ⟨t, ht⟩ := countable_cover_nhds_interior hU ⟨t, ⟨ht.1, univ_subset_iff.1 <| ht.2.symm.subset.trans <| iUnion₂_mono fun _ _ => interior_subset⟩⟩ theorem Filter.comap_coLindelof_le {f : X → Y} (hf : Continuous f) : (Filter.coLindelof Y).comap f ≤ Filter.coLindelof X := by rw [(hasBasis_coLindelof.comap f).le_basis_iff hasBasis_coLindelof] intro t ht refine ⟨f '' t, ht.image hf, ?_⟩ simpa using t.subset_preimage_image f theorem isLindelof_range [LindelofSpace X] {f : X → Y} (hf : Continuous f) : IsLindelof (range f) := by rw [← image_univ]; exact isLindelof_univ.image hf theorem isLindelof_diagonal [LindelofSpace X] : IsLindelof (diagonal X) := @range_diag X ▸ isLindelof_range (continuous_id.prod_mk continuous_id)
Mathlib/Topology/Compactness/Lindelof.lean
590
595
theorem Inducing.isLindelof_iff {f : X → Y} (hf : Inducing f) : IsLindelof s ↔ IsLindelof (f '' s) := by
refine ⟨fun hs => hs.image hf.continuous, fun hs F F_ne_bot _ F_le => ?_⟩ obtain ⟨_, ⟨x, x_in : x ∈ s, rfl⟩, hx : ClusterPt (f x) (map f F)⟩ := hs ((map_mono F_le).trans_eq map_principal) exact ⟨x, x_in, hf.mapClusterPt_iff.1 hx⟩
import Mathlib.CategoryTheory.Monoidal.Braided.Basic import Mathlib.CategoryTheory.Functor.ReflectsIso #align_import category_theory.monoidal.center from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7" open CategoryTheory open CategoryTheory.MonoidalCategory universe v v₁ v₂ v₃ u u₁ u₂ u₃ noncomputable section namespace CategoryTheory variable {C : Type u₁} [Category.{v₁} C] [MonoidalCategory C] -- @[nolint has_nonempty_instance] -- Porting note(#5171): This linter does not exist yet. structure HalfBraiding (X : C) where β : ∀ U, X ⊗ U ≅ U ⊗ X monoidal : ∀ U U', (β (U ⊗ U')).hom = (α_ _ _ _).inv ≫ ((β U).hom ▷ U') ≫ (α_ _ _ _).hom ≫ (U ◁ (β U').hom) ≫ (α_ _ _ _).inv := by aesop_cat naturality : ∀ {U U'} (f : U ⟶ U'), (X ◁ f) ≫ (β U').hom = (β U).hom ≫ (f ▷ X) := by aesop_cat #align category_theory.half_braiding CategoryTheory.HalfBraiding attribute [reassoc, simp] HalfBraiding.monoidal -- the reassoc lemma is redundant as a simp lemma attribute [simp, reassoc] HalfBraiding.naturality variable (C) -- @[nolint has_nonempty_instance] -- Porting note(#5171): This linter does not exist yet. def Center := Σ X : C, HalfBraiding X #align category_theory.center CategoryTheory.Center namespace Center variable {C} -- Porting note(#5171): linter not ported yet @[ext] -- @[nolint has_nonempty_instance] structure Hom (X Y : Center C) where f : X.1 ⟶ Y.1 comm : ∀ U, (f ▷ U) ≫ (Y.2.β U).hom = (X.2.β U).hom ≫ (U ◁ f) := by aesop_cat #align category_theory.center.hom CategoryTheory.Center.Hom attribute [reassoc (attr := simp)] Hom.comm instance : Quiver (Center C) where Hom := Hom @[ext]
Mathlib/CategoryTheory/Monoidal/Center.lean
97
98
theorem ext {X Y : Center C} (f g : X ⟶ Y) (w : f.f = g.f) : f = g := by
cases f; cases g; congr
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]
Mathlib/Data/Seq/WSeq.lean
659
659
theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by
simp [head]
import Mathlib.Algebra.Order.Floor import Mathlib.Data.Rat.Cast.Order import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.Ring #align_import data.rat.floor from "leanprover-community/mathlib"@"e1bccd6e40ae78370f01659715d3c948716e3b7e" open Int namespace Rat variable {α : Type*} [LinearOrderedField α] [FloorRing α] protected theorem floor_def' (a : ℚ) : a.floor = a.num / a.den := by rw [Rat.floor] split · next h => simp [h] · next => rfl protected theorem le_floor {z : ℤ} : ∀ {r : ℚ}, z ≤ Rat.floor r ↔ (z : ℚ) ≤ r | ⟨n, d, h, c⟩ => by simp only [Rat.floor_def'] rw [mk'_eq_divInt] have h' := Int.ofNat_lt.2 (Nat.pos_of_ne_zero h) conv => rhs rw [intCast_eq_divInt, Rat.divInt_le_divInt zero_lt_one h', mul_one] exact Int.le_ediv_iff_mul_le h' #align rat.le_floor Rat.le_floor instance : FloorRing ℚ := (FloorRing.ofFloor ℚ Rat.floor) fun _ _ => Rat.le_floor.symm protected theorem floor_def {q : ℚ} : ⌊q⌋ = q.num / q.den := Rat.floor_def' q #align rat.floor_def Rat.floor_def theorem floor_int_div_nat_eq_div {n : ℤ} {d : ℕ} : ⌊(↑n : ℚ) / (↑d : ℚ)⌋ = n / (↑d : ℤ) := by rw [Rat.floor_def] obtain rfl | hd := @eq_zero_or_pos _ _ d · simp set q := (n : ℚ) / d with q_eq obtain ⟨c, n_eq_c_mul_num, d_eq_c_mul_denom⟩ : ∃ c, n = c * q.num ∧ (d : ℤ) = c * q.den := by rw [q_eq] exact mod_cast @Rat.exists_eq_mul_div_num_and_eq_mul_div_den n d (mod_cast hd.ne') rw [n_eq_c_mul_num, d_eq_c_mul_denom] refine (Int.mul_ediv_mul_of_pos _ _ <| pos_of_mul_pos_left ?_ <| Int.natCast_nonneg q.den).symm rwa [← d_eq_c_mul_denom, Int.natCast_pos] #align rat.floor_int_div_nat_eq_div Rat.floor_int_div_nat_eq_div @[simp, norm_cast] theorem floor_cast (x : ℚ) : ⌊(x : α)⌋ = ⌊x⌋ := floor_eq_iff.2 (mod_cast floor_eq_iff.1 (Eq.refl ⌊x⌋)) #align rat.floor_cast Rat.floor_cast @[simp, norm_cast] theorem ceil_cast (x : ℚ) : ⌈(x : α)⌉ = ⌈x⌉ := by rw [← neg_inj, ← floor_neg, ← floor_neg, ← Rat.cast_neg, Rat.floor_cast] #align rat.ceil_cast Rat.ceil_cast @[simp, norm_cast] theorem round_cast (x : ℚ) : round (x : α) = round x := by have : ((x + 1 / 2 : ℚ) : α) = x + 1 / 2 := by simp rw [round_eq, round_eq, ← this, floor_cast] #align rat.round_cast Rat.round_cast @[simp, norm_cast]
Mathlib/Data/Rat/Floor.lean
86
87
theorem cast_fract (x : ℚ) : (↑(fract x) : α) = fract (x : α) := by
simp only [fract, cast_sub, cast_intCast, floor_cast]
import Mathlib.Analysis.Calculus.SmoothSeries import Mathlib.Analysis.Calculus.BumpFunction.InnerProduct import Mathlib.Analysis.Convolution import Mathlib.Analysis.InnerProductSpace.EuclideanDist import Mathlib.Data.Set.Pointwise.Support import Mathlib.MeasureTheory.Measure.Haar.NormedSpace import Mathlib.MeasureTheory.Measure.Haar.Unique #align_import analysis.calculus.bump_function_findim from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844" noncomputable section open Set Metric TopologicalSpace Function Asymptotics MeasureTheory FiniteDimensional ContinuousLinearMap Filter MeasureTheory.Measure Bornology open scoped Pointwise Topology NNReal Convolution variable {E : Type*} [NormedAddCommGroup E] section variable [NormedSpace ℝ E] [FiniteDimensional ℝ E] theorem exists_smooth_tsupport_subset {s : Set E} {x : E} (hs : s ∈ 𝓝 x) : ∃ f : E → ℝ, tsupport f ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 ∧ f x = 1 := by obtain ⟨d : ℝ, d_pos : 0 < d, hd : Euclidean.closedBall x d ⊆ s⟩ := Euclidean.nhds_basis_closedBall.mem_iff.1 hs let c : ContDiffBump (toEuclidean x) := { rIn := d / 2 rOut := d rIn_pos := half_pos d_pos rIn_lt_rOut := half_lt_self d_pos } let f : E → ℝ := c ∘ toEuclidean have f_supp : f.support ⊆ Euclidean.ball x d := by intro y hy have : toEuclidean y ∈ Function.support c := by simpa only [Function.mem_support, Function.comp_apply, Ne] using hy rwa [c.support_eq] at this have f_tsupp : tsupport f ⊆ Euclidean.closedBall x d := by rw [tsupport, ← Euclidean.closure_ball _ d_pos.ne'] exact closure_mono f_supp refine ⟨f, f_tsupp.trans hd, ?_, ?_, ?_, ?_⟩ · refine isCompact_of_isClosed_isBounded isClosed_closure ?_ have : IsBounded (Euclidean.closedBall x d) := Euclidean.isCompact_closedBall.isBounded refine this.subset (Euclidean.isClosed_closedBall.closure_subset_iff.2 ?_) exact f_supp.trans Euclidean.ball_subset_closedBall · apply c.contDiff.comp exact ContinuousLinearEquiv.contDiff _ · rintro t ⟨y, rfl⟩ exact ⟨c.nonneg, c.le_one⟩ · apply c.one_of_mem_closedBall apply mem_closedBall_self exact (half_pos d_pos).le #align exists_smooth_tsupport_subset exists_smooth_tsupport_subset theorem IsOpen.exists_smooth_support_eq {s : Set E} (hs : IsOpen s) : ∃ f : E → ℝ, f.support = s ∧ ContDiff ℝ ⊤ f ∧ Set.range f ⊆ Set.Icc 0 1 := by rcases eq_empty_or_nonempty s with (rfl | h's) · exact ⟨fun _ => 0, Function.support_zero, contDiff_const, by simp only [range_const, singleton_subset_iff, left_mem_Icc, zero_le_one]⟩ let ι := { f : E → ℝ // f.support ⊆ s ∧ HasCompactSupport f ∧ ContDiff ℝ ⊤ f ∧ range f ⊆ Icc 0 1 } obtain ⟨T, T_count, hT⟩ : ∃ T : Set ι, T.Countable ∧ ⋃ f ∈ T, support (f : E → ℝ) = s := by have : ⋃ f : ι, (f : E → ℝ).support = s := by refine Subset.antisymm (iUnion_subset fun f => f.2.1) ?_ intro x hx rcases exists_smooth_tsupport_subset (hs.mem_nhds hx) with ⟨f, hf⟩ let g : ι := ⟨f, (subset_tsupport f).trans hf.1, hf.2.1, hf.2.2.1, hf.2.2.2.1⟩ have : x ∈ support (g : E → ℝ) := by simp only [hf.2.2.2.2, Subtype.coe_mk, mem_support, Ne, one_ne_zero, not_false_iff] exact mem_iUnion_of_mem _ this simp_rw [← this] apply isOpen_iUnion_countable rintro ⟨f, hf⟩ exact hf.2.2.1.continuous.isOpen_support obtain ⟨g0, hg⟩ : ∃ g0 : ℕ → ι, T = range g0 := by apply Countable.exists_eq_range T_count rcases eq_empty_or_nonempty T with (rfl | hT) · simp only [ι, iUnion_false, iUnion_empty] at hT simp only [← hT, mem_empty_iff_false, iUnion_of_empty, iUnion_empty, Set.not_nonempty_empty] at h's · exact hT let g : ℕ → E → ℝ := fun n => (g0 n).1 have g_s : ∀ n, support (g n) ⊆ s := fun n => (g0 n).2.1 have s_g : ∀ x ∈ s, ∃ n, x ∈ support (g n) := fun x hx ↦ by rw [← hT] at hx obtain ⟨i, iT, hi⟩ : ∃ i ∈ T, x ∈ support (i : E → ℝ) := by simpa only [mem_iUnion, exists_prop] using hx rw [hg, mem_range] at iT rcases iT with ⟨n, hn⟩ rw [← hn] at hi exact ⟨n, hi⟩ have g_smooth : ∀ n, ContDiff ℝ ⊤ (g n) := fun n => (g0 n).2.2.2.1 have g_comp_supp : ∀ n, HasCompactSupport (g n) := fun n => (g0 n).2.2.1 have g_nonneg : ∀ n x, 0 ≤ g n x := fun n x => ((g0 n).2.2.2.2 (mem_range_self x)).1 obtain ⟨δ, δpos, c, δc, c_lt⟩ : ∃ δ : ℕ → ℝ≥0, (∀ i : ℕ, 0 < δ i) ∧ ∃ c : NNReal, HasSum δ c ∧ c < 1 := NNReal.exists_pos_sum_of_countable one_ne_zero ℕ have : ∀ n : ℕ, ∃ r : ℝ, 0 < r ∧ ∀ i ≤ n, ∀ x, ‖iteratedFDeriv ℝ i (r • g n) x‖ ≤ δ n := by intro n have : ∀ i, ∃ R, ∀ x, ‖iteratedFDeriv ℝ i (fun x => g n x) x‖ ≤ R := by intro i have : BddAbove (range fun x => ‖iteratedFDeriv ℝ i (fun x : E => g n x) x‖) := by apply ((g_smooth n).continuous_iteratedFDeriv le_top).norm.bddAbove_range_of_hasCompactSupport apply HasCompactSupport.comp_left _ norm_zero apply (g_comp_supp n).iteratedFDeriv rcases this with ⟨R, hR⟩ exact ⟨R, fun x => hR (mem_range_self _)⟩ choose R hR using this let M := max (((Finset.range (n + 1)).image R).max' (by simp)) 1 have δnpos : 0 < δ n := δpos n have IR : ∀ i ≤ n, R i ≤ M := by intro i hi refine le_trans ?_ (le_max_left _ _) apply Finset.le_max' apply Finset.mem_image_of_mem -- Porting note: was -- simp only [Finset.mem_range] -- linarith simpa only [Finset.mem_range, Nat.lt_add_one_iff] refine ⟨M⁻¹ * δ n, by positivity, fun i hi x => ?_⟩ calc ‖iteratedFDeriv ℝ i ((M⁻¹ * δ n) • g n) x‖ = ‖(M⁻¹ * δ n) • iteratedFDeriv ℝ i (g n) x‖ := by rw [iteratedFDeriv_const_smul_apply]; exact (g_smooth n).of_le le_top _ = M⁻¹ * δ n * ‖iteratedFDeriv ℝ i (g n) x‖ := by rw [norm_smul _ (iteratedFDeriv ℝ i (g n) x), Real.norm_of_nonneg]; positivity _ ≤ M⁻¹ * δ n * M := (mul_le_mul_of_nonneg_left ((hR i x).trans (IR i hi)) (by positivity)) _ = δ n := by field_simp choose r rpos hr using this have S : ∀ x, Summable fun n => (r n • g n) x := fun x ↦ by refine .of_nnnorm_bounded _ δc.summable fun n => ?_ rw [← NNReal.coe_le_coe, coe_nnnorm] simpa only [norm_iteratedFDeriv_zero] using hr n 0 (zero_le n) x refine ⟨fun x => ∑' n, (r n • g n) x, ?_, ?_, ?_⟩ · apply Subset.antisymm · intro x hx simp only [Pi.smul_apply, Algebra.id.smul_eq_mul, mem_support, Ne] at hx contrapose! hx have : ∀ n, g n x = 0 := by intro n contrapose! hx exact g_s n hx simp only [this, mul_zero, tsum_zero] · intro x hx obtain ⟨n, hn⟩ : ∃ n, x ∈ support (g n) := s_g x hx have I : 0 < r n * g n x := mul_pos (rpos n) (lt_of_le_of_ne (g_nonneg n x) (Ne.symm hn)) exact ne_of_gt (tsum_pos (S x) (fun i => mul_nonneg (rpos i).le (g_nonneg i x)) n I) · refine contDiff_tsum_of_eventually (fun n => (g_smooth n).const_smul (r n)) (fun k _ => (NNReal.hasSum_coe.2 δc).summable) ?_ intro i _ simp only [Nat.cofinite_eq_atTop, Pi.smul_apply, Algebra.id.smul_eq_mul, Filter.eventually_atTop, ge_iff_le] exact ⟨i, fun n hn x => hr _ _ hn _⟩ · rintro - ⟨y, rfl⟩ refine ⟨tsum_nonneg fun n => mul_nonneg (rpos n).le (g_nonneg n y), le_trans ?_ c_lt.le⟩ have A : HasSum (fun n => (δ n : ℝ)) c := NNReal.hasSum_coe.2 δc simp only [Pi.smul_apply, smul_eq_mul, NNReal.val_eq_coe, ← A.tsum_eq, ge_iff_le] apply tsum_le_tsum _ (S y) A.summable intro n apply (le_abs_self _).trans simpa only [norm_iteratedFDeriv_zero] using hr n 0 (zero_le n) y #align is_open.exists_smooth_support_eq IsOpen.exists_smooth_support_eq end section namespace ExistsContDiffBumpBase def φ : E → ℝ := (closedBall (0 : E) 1).indicator fun _ => (1 : ℝ) #align exists_cont_diff_bump_base.φ ExistsContDiffBumpBase.φ variable [NormedSpace ℝ E] [FiniteDimensional ℝ E] section HelperDefinitions variable (E) theorem u_exists : ∃ u : E → ℝ, ContDiff ℝ ⊤ u ∧ (∀ x, u x ∈ Icc (0 : ℝ) 1) ∧ support u = ball 0 1 ∧ ∀ x, u (-x) = u x := by have A : IsOpen (ball (0 : E) 1) := isOpen_ball obtain ⟨f, f_support, f_smooth, f_range⟩ : ∃ f : E → ℝ, f.support = ball (0 : E) 1 ∧ ContDiff ℝ ⊤ f ∧ Set.range f ⊆ Set.Icc 0 1 := A.exists_smooth_support_eq have B : ∀ x, f x ∈ Icc (0 : ℝ) 1 := fun x => f_range (mem_range_self x) refine ⟨fun x => (f x + f (-x)) / 2, ?_, ?_, ?_, ?_⟩ · exact (f_smooth.add (f_smooth.comp contDiff_neg)).div_const _ · intro x simp only [mem_Icc] constructor · linarith [(B x).1, (B (-x)).1] · linarith [(B x).2, (B (-x)).2] · refine support_eq_iff.2 ⟨fun x hx => ?_, fun x hx => ?_⟩ · apply ne_of_gt have : 0 < f x := by apply lt_of_le_of_ne (B x).1 (Ne.symm _) rwa [← f_support] at hx linarith [(B (-x)).1] · have I1 : x ∉ support f := by rwa [f_support] have I2 : -x ∉ support f := by rw [f_support] simpa using hx simp only [mem_support, Classical.not_not] at I1 I2 simp only [I1, I2, add_zero, zero_div] · intro x; simp only [add_comm, neg_neg] #align exists_cont_diff_bump_base.u_exists ExistsContDiffBumpBase.u_exists variable {E} def u (x : E) : ℝ := Classical.choose (u_exists E) x #align exists_cont_diff_bump_base.u ExistsContDiffBumpBase.u variable (E) theorem u_smooth : ContDiff ℝ ⊤ (u : E → ℝ) := (Classical.choose_spec (u_exists E)).1 #align exists_cont_diff_bump_base.u_smooth ExistsContDiffBumpBase.u_smooth theorem u_continuous : Continuous (u : E → ℝ) := (u_smooth E).continuous #align exists_cont_diff_bump_base.u_continuous ExistsContDiffBumpBase.u_continuous theorem u_support : support (u : E → ℝ) = ball 0 1 := (Classical.choose_spec (u_exists E)).2.2.1 #align exists_cont_diff_bump_base.u_support ExistsContDiffBumpBase.u_support
Mathlib/Analysis/Calculus/BumpFunction/FiniteDimension.lean
265
267
theorem u_compact_support : HasCompactSupport (u : E → ℝ) := by
rw [hasCompactSupport_def, u_support, closure_ball (0 : E) one_ne_zero] exact isCompact_closedBall _ _
import Mathlib.Algebra.Group.Subgroup.Basic import Mathlib.CategoryTheory.Groupoid.VertexGroup import Mathlib.CategoryTheory.Groupoid.Basic import Mathlib.CategoryTheory.Groupoid import Mathlib.Data.Set.Lattice import Mathlib.Order.GaloisConnection #align_import category_theory.groupoid.subgroupoid from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" namespace CategoryTheory open Set Groupoid universe u v variable {C : Type u} [Groupoid C] @[ext] structure Subgroupoid (C : Type u) [Groupoid C] where arrows : ∀ c d : C, Set (c ⟶ d) protected inv : ∀ {c d} {p : c ⟶ d}, p ∈ arrows c d → Groupoid.inv p ∈ arrows d c protected mul : ∀ {c d e} {p}, p ∈ arrows c d → ∀ {q}, q ∈ arrows d e → p ≫ q ∈ arrows c e #align category_theory.subgroupoid CategoryTheory.Subgroupoid namespace Subgroupoid variable (S : Subgroupoid C) theorem inv_mem_iff {c d : C} (f : c ⟶ d) : Groupoid.inv f ∈ S.arrows d c ↔ f ∈ S.arrows c d := by constructor · intro h simpa only [inv_eq_inv, IsIso.inv_inv] using S.inv h · apply S.inv #align category_theory.subgroupoid.inv_mem_iff CategoryTheory.Subgroupoid.inv_mem_iff theorem mul_mem_cancel_left {c d e : C} {f : c ⟶ d} {g : d ⟶ e} (hf : f ∈ S.arrows c d) : f ≫ g ∈ S.arrows c e ↔ g ∈ S.arrows d e := by constructor · rintro h suffices Groupoid.inv f ≫ f ≫ g ∈ S.arrows d e by simpa only [inv_eq_inv, IsIso.inv_hom_id_assoc] using this apply S.mul (S.inv hf) h · apply S.mul hf #align category_theory.subgroupoid.mul_mem_cancel_left CategoryTheory.Subgroupoid.mul_mem_cancel_left theorem mul_mem_cancel_right {c d e : C} {f : c ⟶ d} {g : d ⟶ e} (hg : g ∈ S.arrows d e) : f ≫ g ∈ S.arrows c e ↔ f ∈ S.arrows c d := by constructor · rintro h suffices (f ≫ g) ≫ Groupoid.inv g ∈ S.arrows c d by simpa only [inv_eq_inv, IsIso.hom_inv_id, Category.comp_id, Category.assoc] using this apply S.mul h (S.inv hg) · exact fun hf => S.mul hf hg #align category_theory.subgroupoid.mul_mem_cancel_right CategoryTheory.Subgroupoid.mul_mem_cancel_right def objs : Set C := {c : C | (S.arrows c c).Nonempty} #align category_theory.subgroupoid.objs CategoryTheory.Subgroupoid.objs theorem mem_objs_of_src {c d : C} {f : c ⟶ d} (h : f ∈ S.arrows c d) : c ∈ S.objs := ⟨f ≫ Groupoid.inv f, S.mul h (S.inv h)⟩ #align category_theory.subgroupoid.mem_objs_of_src CategoryTheory.Subgroupoid.mem_objs_of_src theorem mem_objs_of_tgt {c d : C} {f : c ⟶ d} (h : f ∈ S.arrows c d) : d ∈ S.objs := ⟨Groupoid.inv f ≫ f, S.mul (S.inv h) h⟩ #align category_theory.subgroupoid.mem_objs_of_tgt CategoryTheory.Subgroupoid.mem_objs_of_tgt theorem id_mem_of_nonempty_isotropy (c : C) : c ∈ objs S → 𝟙 c ∈ S.arrows c c := by rintro ⟨γ, hγ⟩ convert S.mul hγ (S.inv hγ) simp only [inv_eq_inv, IsIso.hom_inv_id] #align category_theory.subgroupoid.id_mem_of_nonempty_isotropy CategoryTheory.Subgroupoid.id_mem_of_nonempty_isotropy theorem id_mem_of_src {c d : C} {f : c ⟶ d} (h : f ∈ S.arrows c d) : 𝟙 c ∈ S.arrows c c := id_mem_of_nonempty_isotropy S c (mem_objs_of_src S h) #align category_theory.subgroupoid.id_mem_of_src CategoryTheory.Subgroupoid.id_mem_of_src theorem id_mem_of_tgt {c d : C} {f : c ⟶ d} (h : f ∈ S.arrows c d) : 𝟙 d ∈ S.arrows d d := id_mem_of_nonempty_isotropy S d (mem_objs_of_tgt S h) #align category_theory.subgroupoid.id_mem_of_tgt CategoryTheory.Subgroupoid.id_mem_of_tgt def asWideQuiver : Quiver C := ⟨fun c d => Subtype <| S.arrows c d⟩ #align category_theory.subgroupoid.as_wide_quiver CategoryTheory.Subgroupoid.asWideQuiver @[simps comp_coe, simps (config := .lemmasOnly) inv_coe] instance coe : Groupoid S.objs where Hom a b := S.arrows a.val b.val id a := ⟨𝟙 a.val, id_mem_of_nonempty_isotropy S a.val a.prop⟩ comp p q := ⟨p.val ≫ q.val, S.mul p.prop q.prop⟩ inv p := ⟨Groupoid.inv p.val, S.inv p.prop⟩ #align category_theory.subgroupoid.coe CategoryTheory.Subgroupoid.coe @[simp]
Mathlib/CategoryTheory/Groupoid/Subgroupoid.lean
152
154
theorem coe_inv_coe' {c d : S.objs} (p : c ⟶ d) : (CategoryTheory.inv p).val = CategoryTheory.inv p.val := by
simp only [← inv_eq_inv, coe_inv_coe]
import Mathlib.Combinatorics.SimpleGraph.Connectivity namespace SimpleGraph universe u v variable {V : Type u} {V' : Type v} {G : SimpleGraph V} {G' : SimpleGraph V'} namespace Subgraph protected structure Preconnected (H : G.Subgraph) : Prop where protected coe : H.coe.Preconnected instance {H : G.Subgraph} : Coe H.Preconnected H.coe.Preconnected := ⟨Preconnected.coe⟩ instance {H : G.Subgraph} : CoeFun H.Preconnected (fun _ => ∀ u v : H.verts, H.coe.Reachable u v) := ⟨fun h => h.coe⟩ protected lemma preconnected_iff {H : G.Subgraph} : H.Preconnected ↔ H.coe.Preconnected := ⟨fun ⟨h⟩ => h, .mk⟩ protected structure Connected (H : G.Subgraph) : Prop where protected coe : H.coe.Connected #align simple_graph.subgraph.connected SimpleGraph.Subgraph.Connected instance {H : G.Subgraph} : Coe H.Connected H.coe.Connected := ⟨Connected.coe⟩ instance {H : G.Subgraph} : CoeFun H.Connected (fun _ => ∀ u v : H.verts, H.coe.Reachable u v) := ⟨fun h => h.coe⟩ protected lemma connected_iff' {H : G.Subgraph} : H.Connected ↔ H.coe.Connected := ⟨fun ⟨h⟩ => h, .mk⟩ protected lemma connected_iff {H : G.Subgraph} : H.Connected ↔ H.Preconnected ∧ H.verts.Nonempty := by rw [H.connected_iff', connected_iff, H.preconnected_iff, Set.nonempty_coe_sort] protected lemma Connected.preconnected {H : G.Subgraph} (h : H.Connected) : H.Preconnected := by rw [H.connected_iff] at h; exact h.1 protected lemma Connected.nonempty {H : G.Subgraph} (h : H.Connected) : H.verts.Nonempty := by rw [H.connected_iff] at h; exact h.2 theorem singletonSubgraph_connected {v : V} : (G.singletonSubgraph v).Connected := by refine ⟨⟨?_⟩⟩ rintro ⟨a, ha⟩ ⟨b, hb⟩ simp only [singletonSubgraph_verts, Set.mem_singleton_iff] at ha hb subst_vars rfl #align simple_graph.singleton_subgraph_connected SimpleGraph.Subgraph.singletonSubgraph_connected @[simp]
Mathlib/Combinatorics/SimpleGraph/Connectivity/Subgraph.lean
73
78
theorem subgraphOfAdj_connected {v w : V} (hvw : G.Adj v w) : (G.subgraphOfAdj hvw).Connected := by
refine ⟨⟨?_⟩⟩ rintro ⟨a, ha⟩ ⟨b, hb⟩ simp only [subgraphOfAdj_verts, Set.mem_insert_iff, Set.mem_singleton_iff] at ha hb obtain rfl | rfl := ha <;> obtain rfl | rfl := hb <;> first | rfl | (apply Adj.reachable; simp)
import Mathlib.CategoryTheory.Comma.Over import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks import Mathlib.CategoryTheory.Yoneda import Mathlib.Data.Set.Lattice import Mathlib.Order.CompleteLattice #align_import category_theory.sites.sieves from "leanprover-community/mathlib"@"239d882c4fb58361ee8b3b39fb2091320edef10a" universe v₁ v₂ v₃ u₁ u₂ u₃ namespace CategoryTheory open Category Limits variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D) variable {X Y Z : C} (f : Y ⟶ X) def Presieve (X : C) := ∀ ⦃Y⦄, Set (Y ⟶ X)-- deriving CompleteLattice #align category_theory.presieve CategoryTheory.Presieve instance : CompleteLattice (Presieve X) := by dsimp [Presieve] infer_instance namespace Presieve noncomputable instance : Inhabited (Presieve X) := ⟨⊤⟩ abbrev category {X : C} (P : Presieve X) := FullSubcategory fun f : Over X => P f.hom abbrev categoryMk {X : C} (P : Presieve X) {Y : C} (f : Y ⟶ X) (hf : P f) : P.category := ⟨Over.mk f, hf⟩ abbrev diagram (S : Presieve X) : S.category ⥤ C := fullSubcategoryInclusion _ ⋙ Over.forget X #align category_theory.presieve.diagram CategoryTheory.Presieve.diagram abbrev cocone (S : Presieve X) : Cocone S.diagram := (Over.forgetCocone X).whisker (fullSubcategoryInclusion _) #align category_theory.presieve.cocone CategoryTheory.Presieve.cocone def bind (S : Presieve X) (R : ∀ ⦃Y⦄ ⦃f : Y ⟶ X⦄, S f → Presieve Y) : Presieve X := fun Z h => ∃ (Y : C) (g : Z ⟶ Y) (f : Y ⟶ X) (H : S f), R H g ∧ g ≫ f = h #align category_theory.presieve.bind CategoryTheory.Presieve.bind @[simp] theorem bind_comp {S : Presieve X} {R : ∀ ⦃Y : C⦄ ⦃f : Y ⟶ X⦄, S f → Presieve Y} {g : Z ⟶ Y} (h₁ : S f) (h₂ : R h₁ g) : bind S R (g ≫ f) := ⟨_, _, _, h₁, h₂, rfl⟩ #align category_theory.presieve.bind_comp CategoryTheory.Presieve.bind_comp -- Porting note: it seems the definition of `Presieve` must be unfolded in order to define -- this inductive type, it was thus renamed `singleton'` -- Note we can't make this into `HasSingleton` because of the out-param. inductive singleton' : ⦃Y : C⦄ → (Y ⟶ X) → Prop | mk : singleton' f def singleton : Presieve X := singleton' f lemma singleton.mk {f : Y ⟶ X} : singleton f f := singleton'.mk #align category_theory.presieve.singleton CategoryTheory.Presieve.singleton @[simp] theorem singleton_eq_iff_domain (f g : Y ⟶ X) : singleton f g ↔ f = g := by constructor · rintro ⟨a, rfl⟩ rfl · rintro rfl apply singleton.mk #align category_theory.presieve.singleton_eq_iff_domain CategoryTheory.Presieve.singleton_eq_iff_domain theorem singleton_self : singleton f f := singleton.mk #align category_theory.presieve.singleton_self CategoryTheory.Presieve.singleton_self inductive pullbackArrows [HasPullbacks C] (R : Presieve X) : Presieve Y | mk (Z : C) (h : Z ⟶ X) : R h → pullbackArrows _ (pullback.snd : pullback h f ⟶ Y) #align category_theory.presieve.pullback_arrows CategoryTheory.Presieve.pullbackArrows theorem pullback_singleton [HasPullbacks C] (g : Z ⟶ X) : pullbackArrows f (singleton g) = singleton (pullback.snd : pullback g f ⟶ _) := by funext W ext h constructor · rintro ⟨W, _, _, _⟩ exact singleton.mk · rintro ⟨_⟩ exact pullbackArrows.mk Z g singleton.mk #align category_theory.presieve.pullback_singleton CategoryTheory.Presieve.pullback_singleton inductive ofArrows {ι : Type*} (Y : ι → C) (f : ∀ i, Y i ⟶ X) : Presieve X | mk (i : ι) : ofArrows _ _ (f i) #align category_theory.presieve.of_arrows CategoryTheory.Presieve.ofArrows theorem ofArrows_pUnit : (ofArrows _ fun _ : PUnit => f) = singleton f := by funext Y ext g constructor · rintro ⟨_⟩ apply singleton.mk · rintro ⟨_⟩ exact ofArrows.mk PUnit.unit #align category_theory.presieve.of_arrows_punit CategoryTheory.Presieve.ofArrows_pUnit theorem ofArrows_pullback [HasPullbacks C] {ι : Type*} (Z : ι → C) (g : ∀ i : ι, Z i ⟶ X) : (ofArrows (fun i => pullback (g i) f) fun i => pullback.snd) = pullbackArrows f (ofArrows Z g) := by funext T ext h constructor · rintro ⟨hk⟩ exact pullbackArrows.mk _ _ (ofArrows.mk hk) · rintro ⟨W, k, hk₁⟩ cases' hk₁ with i hi apply ofArrows.mk #align category_theory.presieve.of_arrows_pullback CategoryTheory.Presieve.ofArrows_pullback theorem ofArrows_bind {ι : Type*} (Z : ι → C) (g : ∀ i : ι, Z i ⟶ X) (j : ∀ ⦃Y⦄ (f : Y ⟶ X), ofArrows Z g f → Type*) (W : ∀ ⦃Y⦄ (f : Y ⟶ X) (H), j f H → C) (k : ∀ ⦃Y⦄ (f : Y ⟶ X) (H i), W f H i ⟶ Y) : ((ofArrows Z g).bind fun Y f H => ofArrows (W f H) (k f H)) = ofArrows (fun i : Σi, j _ (ofArrows.mk i) => W (g i.1) _ i.2) fun ij => k (g ij.1) _ ij.2 ≫ g ij.1 := by funext Y ext f constructor · rintro ⟨_, _, _, ⟨i⟩, ⟨i'⟩, rfl⟩ exact ofArrows.mk (Sigma.mk _ _) · rintro ⟨i⟩ exact bind_comp _ (ofArrows.mk _) (ofArrows.mk _) #align category_theory.presieve.of_arrows_bind CategoryTheory.Presieve.ofArrows_bind
Mathlib/CategoryTheory/Sites/Sieves.lean
179
183
theorem ofArrows_surj {ι : Type*} {Y : ι → C} (f : ∀ i, Y i ⟶ X) {Z : C} (g : Z ⟶ X) (hg : ofArrows Y f g) : ∃ (i : ι) (h : Y i = Z), g = eqToHom h.symm ≫ f i := by
cases' hg with i exact ⟨i, rfl, by simp only [eqToHom_refl, id_comp]⟩
import Mathlib.Order.Filter.Cofinite #align_import topology.bornology.basic from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Set Filter variable {ι α β : Type*} class Bornology (α : Type*) where cobounded' : Filter α le_cofinite' : cobounded' ≤ cofinite #align bornology Bornology def Bornology.cobounded (α : Type*) [Bornology α] : Filter α := Bornology.cobounded' #align bornology.cobounded Bornology.cobounded alias Bornology.Simps.cobounded := Bornology.cobounded lemma Bornology.le_cofinite (α : Type*) [Bornology α] : cobounded α ≤ cofinite := Bornology.le_cofinite' #align bornology.le_cofinite Bornology.le_cofinite initialize_simps_projections Bornology (cobounded' → cobounded) @[ext] lemma Bornology.ext (t t' : Bornology α) (h_cobounded : @Bornology.cobounded α t = @Bornology.cobounded α t') : t = t' := by cases t cases t' congr #align bornology.ext Bornology.ext lemma Bornology.ext_iff (t t' : Bornology α) : t = t' ↔ @Bornology.cobounded α t = @Bornology.cobounded α t' := ⟨congrArg _, Bornology.ext _ _⟩ #align bornology.ext_iff Bornology.ext_iff @[simps] def Bornology.ofBounded {α : Type*} (B : Set (Set α)) (empty_mem : ∅ ∈ B) (subset_mem : ∀ s₁ ∈ B, ∀ s₂ ⊆ s₁, s₂ ∈ B) (union_mem : ∀ s₁ ∈ B, ∀ s₂ ∈ B, s₁ ∪ s₂ ∈ B) (singleton_mem : ∀ x, {x} ∈ B) : Bornology α where cobounded' := comk (· ∈ B) empty_mem subset_mem union_mem le_cofinite' := by simpa [le_cofinite_iff_compl_singleton_mem] #align bornology.of_bounded Bornology.ofBounded #align bornology.of_bounded_cobounded_sets Bornology.ofBounded_cobounded @[simps! cobounded] def Bornology.ofBounded' {α : Type*} (B : Set (Set α)) (empty_mem : ∅ ∈ B) (subset_mem : ∀ s₁ ∈ B, ∀ s₂ ⊆ s₁, s₂ ∈ B) (union_mem : ∀ s₁ ∈ B, ∀ s₂ ∈ B, s₁ ∪ s₂ ∈ B) (sUnion_univ : ⋃₀ B = univ) : Bornology α := Bornology.ofBounded B empty_mem subset_mem union_mem fun x => by rw [sUnion_eq_univ_iff] at sUnion_univ rcases sUnion_univ x with ⟨s, hs, hxs⟩ exact subset_mem s hs {x} (singleton_subset_iff.mpr hxs) #align bornology.of_bounded' Bornology.ofBounded' #align bornology.of_bounded'_cobounded_sets Bornology.ofBounded'_cobounded namespace Bornology section def IsCobounded [Bornology α] (s : Set α) : Prop := s ∈ cobounded α #align bornology.is_cobounded Bornology.IsCobounded def IsBounded [Bornology α] (s : Set α) : Prop := IsCobounded sᶜ #align bornology.is_bounded Bornology.IsBounded variable {_ : Bornology α} {s t : Set α} {x : α} theorem isCobounded_def {s : Set α} : IsCobounded s ↔ s ∈ cobounded α := Iff.rfl #align bornology.is_cobounded_def Bornology.isCobounded_def theorem isBounded_def {s : Set α} : IsBounded s ↔ sᶜ ∈ cobounded α := Iff.rfl #align bornology.is_bounded_def Bornology.isBounded_def @[simp] theorem isBounded_compl_iff : IsBounded sᶜ ↔ IsCobounded s := by rw [isBounded_def, isCobounded_def, compl_compl] #align bornology.is_bounded_compl_iff Bornology.isBounded_compl_iff @[simp] theorem isCobounded_compl_iff : IsCobounded sᶜ ↔ IsBounded s := Iff.rfl #align bornology.is_cobounded_compl_iff Bornology.isCobounded_compl_iff alias ⟨IsBounded.of_compl, IsCobounded.compl⟩ := isBounded_compl_iff #align bornology.is_bounded.of_compl Bornology.IsBounded.of_compl #align bornology.is_cobounded.compl Bornology.IsCobounded.compl alias ⟨IsCobounded.of_compl, IsBounded.compl⟩ := isCobounded_compl_iff #align bornology.is_cobounded.of_compl Bornology.IsCobounded.of_compl #align bornology.is_bounded.compl Bornology.IsBounded.compl @[simp] theorem isBounded_empty : IsBounded (∅ : Set α) := by rw [isBounded_def, compl_empty] exact univ_mem #align bornology.is_bounded_empty Bornology.isBounded_empty theorem nonempty_of_not_isBounded (h : ¬IsBounded s) : s.Nonempty := by rw [nonempty_iff_ne_empty] rintro rfl exact h isBounded_empty #align metric.nonempty_of_unbounded Bornology.nonempty_of_not_isBounded @[simp]
Mathlib/Topology/Bornology/Basic.lean
173
175
theorem isBounded_singleton : IsBounded ({x} : Set α) := by
rw [isBounded_def] exact le_cofinite _ (finite_singleton x).compl_mem_cofinite
import Mathlib.Algebra.Group.Prod import Mathlib.Data.Set.Lattice #align_import data.nat.pairing from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" assert_not_exists MonoidWithZero open Prod Decidable Function namespace Nat -- Porting note: no pp_nodot --@[pp_nodot] def pair (a b : ℕ) : ℕ := if a < b then b * b + a else a * a + a + b #align nat.mkpair Nat.pair -- Porting note: no pp_nodot --@[pp_nodot] def unpair (n : ℕ) : ℕ × ℕ := let s := sqrt n if n - s * s < s then (n - s * s, s) else (s, n - s * s - s) #align nat.unpair Nat.unpair @[simp] theorem pair_unpair (n : ℕ) : pair (unpair n).1 (unpair n).2 = n := by dsimp only [unpair]; let s := sqrt n have sm : s * s + (n - s * s) = n := Nat.add_sub_cancel' (sqrt_le _) split_ifs with h · simp [pair, h, sm] · have hl : n - s * s - s ≤ s := Nat.sub_le_iff_le_add.2 (Nat.sub_le_iff_le_add'.2 <| by rw [← Nat.add_assoc]; apply sqrt_le_add) simp [pair, hl.not_lt, Nat.add_assoc, Nat.add_sub_cancel' (le_of_not_gt h), sm] #align nat.mkpair_unpair Nat.pair_unpair theorem pair_unpair' {n a b} (H : unpair n = (a, b)) : pair a b = n := by simpa [H] using pair_unpair n #align nat.mkpair_unpair' Nat.pair_unpair' @[simp] theorem unpair_pair (a b : ℕ) : unpair (pair a b) = (a, b) := by dsimp only [pair]; split_ifs with h · show unpair (b * b + a) = (a, b) have be : sqrt (b * b + a) = b := sqrt_add_eq _ (le_trans (le_of_lt h) (Nat.le_add_left _ _)) simp [unpair, be, Nat.add_sub_cancel_left, h] · show unpair (a * a + a + b) = (a, b) have ae : sqrt (a * a + (a + b)) = a := by rw [sqrt_add_eq] exact Nat.add_le_add_left (le_of_not_gt h) _ simp [unpair, ae, Nat.not_lt_zero, Nat.add_assoc, Nat.add_sub_cancel_left] #align nat.unpair_mkpair Nat.unpair_pair @[simps (config := .asFn)] def pairEquiv : ℕ × ℕ ≃ ℕ := ⟨uncurry pair, unpair, fun ⟨a, b⟩ => unpair_pair a b, pair_unpair⟩ #align nat.mkpair_equiv Nat.pairEquiv #align nat.mkpair_equiv_apply Nat.pairEquiv_apply #align nat.mkpair_equiv_symm_apply Nat.pairEquiv_symm_apply theorem surjective_unpair : Surjective unpair := pairEquiv.symm.surjective #align nat.surjective_unpair Nat.surjective_unpair @[simp] theorem pair_eq_pair {a b c d : ℕ} : pair a b = pair c d ↔ a = c ∧ b = d := pairEquiv.injective.eq_iff.trans (@Prod.ext_iff ℕ ℕ (a, b) (c, d)) #align nat.mkpair_eq_mkpair Nat.pair_eq_pair theorem unpair_lt {n : ℕ} (n1 : 1 ≤ n) : (unpair n).1 < n := by let s := sqrt n simp only [unpair, ge_iff_le, Nat.sub_le_iff_le_add] by_cases h : n - s * s < s <;> simp [h] · exact lt_of_lt_of_le h (sqrt_le_self _) · simp at h have s0 : 0 < s := sqrt_pos.2 n1 exact lt_of_le_of_lt h (Nat.sub_lt n1 (Nat.mul_pos s0 s0)) #align nat.unpair_lt Nat.unpair_lt @[simp] theorem unpair_zero : unpair 0 = 0 := by rw [unpair] simp #align nat.unpair_zero Nat.unpair_zero theorem unpair_left_le : ∀ n : ℕ, (unpair n).1 ≤ n | 0 => by simp | n + 1 => le_of_lt (unpair_lt (Nat.succ_pos _)) #align nat.unpair_left_le Nat.unpair_left_le theorem left_le_pair (a b : ℕ) : a ≤ pair a b := by simpa using unpair_left_le (pair a b) #align nat.left_le_mkpair Nat.left_le_pair theorem right_le_pair (a b : ℕ) : b ≤ pair a b := by by_cases h : a < b <;> simp [pair, h] exact le_trans (le_mul_self _) (Nat.le_add_right _ _) #align nat.right_le_mkpair Nat.right_le_pair theorem unpair_right_le (n : ℕ) : (unpair n).2 ≤ n := by simpa using right_le_pair n.unpair.1 n.unpair.2 #align nat.unpair_right_le Nat.unpair_right_le
Mathlib/Data/Nat/Pairing.lean
126
137
theorem pair_lt_pair_left {a₁ a₂} (b) (h : a₁ < a₂) : pair a₁ b < pair a₂ b := by
by_cases h₁ : a₁ < b <;> simp [pair, h₁, Nat.add_assoc] · by_cases h₂ : a₂ < b <;> simp [pair, h₂, h] simp? at h₂ says simp only [not_lt] at h₂ apply Nat.add_lt_add_of_le_of_lt · exact Nat.mul_self_le_mul_self h₂ · exact Nat.lt_add_right _ h · simp at h₁ simp only [not_lt_of_gt (lt_of_le_of_lt h₁ h), ite_false] apply add_lt_add · exact Nat.mul_self_lt_mul_self h · apply Nat.add_lt_add_right; assumption
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics import Mathlib.Analysis.Asymptotics.AsymptoticEquivalent import Mathlib.Analysis.Asymptotics.SpecificAsymptotics #align_import analysis.special_functions.compare_exp from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8" open Asymptotics Filter Function open scoped Topology namespace Complex structure IsExpCmpFilter (l : Filter ℂ) : Prop where tendsto_re : Tendsto re l atTop isBigO_im_pow_re : ∀ n : ℕ, (fun z : ℂ => z.im ^ n) =O[l] fun z => Real.exp z.re #align complex.is_exp_cmp_filter Complex.IsExpCmpFilter namespace IsExpCmpFilter variable {l : Filter ℂ} theorem of_isBigO_im_re_rpow (hre : Tendsto re l atTop) (r : ℝ) (hr : im =O[l] fun z => z.re ^ r) : IsExpCmpFilter l := ⟨hre, fun n => IsLittleO.isBigO <| calc (fun z : ℂ => z.im ^ n) =O[l] fun z => (z.re ^ r) ^ n := hr.pow n _ =ᶠ[l] fun z => z.re ^ (r * n) := ((hre.eventually_ge_atTop 0).mono fun z hz => by simp only [Real.rpow_mul hz r n, Real.rpow_natCast]) _ =o[l] fun z => Real.exp z.re := (isLittleO_rpow_exp_atTop _).comp_tendsto hre ⟩ set_option linter.uppercaseLean3 false in #align complex.is_exp_cmp_filter.of_is_O_im_re_rpow Complex.IsExpCmpFilter.of_isBigO_im_re_rpow theorem of_isBigO_im_re_pow (hre : Tendsto re l atTop) (n : ℕ) (hr : im =O[l] fun z => z.re ^ n) : IsExpCmpFilter l := of_isBigO_im_re_rpow hre n <| mod_cast hr set_option linter.uppercaseLean3 false in #align complex.is_exp_cmp_filter.of_is_O_im_re_pow Complex.IsExpCmpFilter.of_isBigO_im_re_pow theorem of_boundedUnder_abs_im (hre : Tendsto re l atTop) (him : IsBoundedUnder (· ≤ ·) l fun z => |z.im|) : IsExpCmpFilter l := of_isBigO_im_re_pow hre 0 <| by simpa only [pow_zero] using him.isBigO_const (f := im) one_ne_zero #align complex.is_exp_cmp_filter.of_bounded_under_abs_im Complex.IsExpCmpFilter.of_boundedUnder_abs_im theorem of_boundedUnder_im (hre : Tendsto re l atTop) (him_le : IsBoundedUnder (· ≤ ·) l im) (him_ge : IsBoundedUnder (· ≥ ·) l im) : IsExpCmpFilter l := of_boundedUnder_abs_im hre <| isBoundedUnder_le_abs.2 ⟨him_le, him_ge⟩ #align complex.is_exp_cmp_filter.of_bounded_under_im Complex.IsExpCmpFilter.of_boundedUnder_im theorem eventually_ne (hl : IsExpCmpFilter l) : ∀ᶠ w : ℂ in l, w ≠ 0 := hl.tendsto_re.eventually_ne_atTop' _ #align complex.is_exp_cmp_filter.eventually_ne Complex.IsExpCmpFilter.eventually_ne theorem tendsto_abs_re (hl : IsExpCmpFilter l) : Tendsto (fun z : ℂ => |z.re|) l atTop := tendsto_abs_atTop_atTop.comp hl.tendsto_re #align complex.is_exp_cmp_filter.tendsto_abs_re Complex.IsExpCmpFilter.tendsto_abs_re theorem tendsto_abs (hl : IsExpCmpFilter l) : Tendsto abs l atTop := tendsto_atTop_mono abs_re_le_abs hl.tendsto_abs_re #align complex.is_exp_cmp_filter.tendsto_abs Complex.IsExpCmpFilter.tendsto_abs theorem isLittleO_log_re_re (hl : IsExpCmpFilter l) : (fun z => Real.log z.re) =o[l] re := Real.isLittleO_log_id_atTop.comp_tendsto hl.tendsto_re #align complex.is_exp_cmp_filter.is_o_log_re_re Complex.IsExpCmpFilter.isLittleO_log_re_re
Mathlib/Analysis/SpecialFunctions/CompareExp.lean
107
116
theorem isLittleO_im_pow_exp_re (hl : IsExpCmpFilter l) (n : ℕ) : (fun z : ℂ => z.im ^ n) =o[l] fun z => Real.exp z.re := flip IsLittleO.of_pow two_ne_zero <| calc (fun z : ℂ ↦ (z.im ^ n) ^ 2) = (fun z ↦ z.im ^ (2 * n)) := by
simp only [pow_mul'] _ =O[l] fun z ↦ Real.exp z.re := hl.isBigO_im_pow_re _ _ = fun z ↦ (Real.exp z.re) ^ 1 := by simp only [pow_one] _ =o[l] fun z ↦ (Real.exp z.re) ^ 2 := (isLittleO_pow_pow_atTop_of_lt one_lt_two).comp_tendsto <| Real.tendsto_exp_atTop.comp hl.tendsto_re
namespace Nat @[reducible] def Coprime (m n : Nat) : Prop := gcd m n = 1 instance (m n : Nat) : Decidable (Coprime m n) := inferInstanceAs (Decidable (_ = 1)) theorem coprime_iff_gcd_eq_one : Coprime m n ↔ gcd m n = 1 := .rfl theorem Coprime.gcd_eq_one : Coprime m n → gcd m n = 1 := id theorem Coprime.symm : Coprime n m → Coprime m n := (gcd_comm m n).trans theorem coprime_comm : Coprime n m ↔ Coprime m n := ⟨Coprime.symm, Coprime.symm⟩ theorem Coprime.dvd_of_dvd_mul_right (H1 : Coprime k n) (H2 : k ∣ m * n) : k ∣ m := by let t := dvd_gcd (Nat.dvd_mul_left k m) H2 rwa [gcd_mul_left, H1.gcd_eq_one, Nat.mul_one] at t theorem Coprime.dvd_of_dvd_mul_left (H1 : Coprime k m) (H2 : k ∣ m * n) : k ∣ n := H1.dvd_of_dvd_mul_right (by rwa [Nat.mul_comm]) theorem Coprime.gcd_mul_left_cancel (m : Nat) (H : Coprime k n) : gcd (k * m) n = gcd m n := have H1 : Coprime (gcd (k * m) n) k := by rw [Coprime, Nat.gcd_assoc, H.symm.gcd_eq_one, gcd_one_right] Nat.dvd_antisymm (dvd_gcd (H1.dvd_of_dvd_mul_left (gcd_dvd_left _ _)) (gcd_dvd_right _ _)) (gcd_dvd_gcd_mul_left _ _ _) theorem Coprime.gcd_mul_right_cancel (m : Nat) (H : Coprime k n) : gcd (m * k) n = gcd m n := by rw [Nat.mul_comm m k, H.gcd_mul_left_cancel m] theorem Coprime.gcd_mul_left_cancel_right (n : Nat) (H : Coprime k m) : gcd m (k * n) = gcd m n := by rw [gcd_comm m n, gcd_comm m (k * n), H.gcd_mul_left_cancel n] theorem Coprime.gcd_mul_right_cancel_right (n : Nat) (H : Coprime k m) : gcd m (n * k) = gcd m n := by rw [Nat.mul_comm n k, H.gcd_mul_left_cancel_right n] theorem coprime_div_gcd_div_gcd (H : 0 < gcd m n) : Coprime (m / gcd m n) (n / gcd m n) := by rw [coprime_iff_gcd_eq_one, gcd_div (gcd_dvd_left m n) (gcd_dvd_right m n), Nat.div_self H] theorem not_coprime_of_dvd_of_dvd (dgt1 : 1 < d) (Hm : d ∣ m) (Hn : d ∣ n) : ¬ Coprime m n := fun co => Nat.not_le_of_gt dgt1 <| Nat.le_of_dvd Nat.zero_lt_one <| by rw [← co.gcd_eq_one]; exact dvd_gcd Hm Hn theorem exists_coprime (m n : Nat) : ∃ m' n', Coprime m' n' ∧ m = m' * gcd m n ∧ n = n' * gcd m n := by cases eq_zero_or_pos (gcd m n) with | inl h0 => rw [gcd_eq_zero_iff] at h0 refine ⟨1, 1, gcd_one_left 1, ?_⟩ simp [h0] | inr hpos => exact ⟨_, _, coprime_div_gcd_div_gcd hpos, (Nat.div_mul_cancel (gcd_dvd_left m n)).symm, (Nat.div_mul_cancel (gcd_dvd_right m n)).symm⟩ theorem exists_coprime' (H : 0 < gcd m n) : ∃ g m' n', 0 < g ∧ Coprime m' n' ∧ m = m' * g ∧ n = n' * g := let ⟨m', n', h⟩ := exists_coprime m n; ⟨_, m', n', H, h⟩ theorem Coprime.mul (H1 : Coprime m k) (H2 : Coprime n k) : Coprime (m * n) k := (H1.gcd_mul_left_cancel n).trans H2 theorem Coprime.mul_right (H1 : Coprime k m) (H2 : Coprime k n) : Coprime k (m * n) := (H1.symm.mul H2.symm).symm theorem Coprime.coprime_dvd_left (H1 : m ∣ k) (H2 : Coprime k n) : Coprime m n := by apply eq_one_of_dvd_one rw [Coprime] at H2 have := Nat.gcd_dvd_gcd_of_dvd_left n H1 rwa [← H2] theorem Coprime.coprime_dvd_right (H1 : n ∣ m) (H2 : Coprime k m) : Coprime k n := (H2.symm.coprime_dvd_left H1).symm theorem Coprime.coprime_mul_left (H : Coprime (k * m) n) : Coprime m n := H.coprime_dvd_left (Nat.dvd_mul_left _ _) theorem Coprime.coprime_mul_right (H : Coprime (m * k) n) : Coprime m n := H.coprime_dvd_left (Nat.dvd_mul_right _ _) theorem Coprime.coprime_mul_left_right (H : Coprime m (k * n)) : Coprime m n := H.coprime_dvd_right (Nat.dvd_mul_left _ _) theorem Coprime.coprime_mul_right_right (H : Coprime m (n * k)) : Coprime m n := H.coprime_dvd_right (Nat.dvd_mul_right _ _) theorem Coprime.coprime_div_left (cmn : Coprime m n) (dvd : a ∣ m) : Coprime (m / a) n := by match eq_zero_or_pos a with | .inl h0 => rw [h0] at dvd rw [Nat.eq_zero_of_zero_dvd dvd] at cmn ⊢ simp; assumption | .inr hpos => let ⟨k, hk⟩ := dvd rw [hk, Nat.mul_div_cancel_left _ hpos] rw [hk] at cmn exact cmn.coprime_mul_left theorem Coprime.coprime_div_right (cmn : Coprime m n) (dvd : a ∣ n) : Coprime m (n / a) := (cmn.symm.coprime_div_left dvd).symm theorem coprime_mul_iff_left : Coprime (m * n) k ↔ Coprime m k ∧ Coprime n k := ⟨fun h => ⟨h.coprime_mul_right, h.coprime_mul_left⟩, fun ⟨h, _⟩ => by rwa [coprime_iff_gcd_eq_one, h.gcd_mul_left_cancel n]⟩ theorem coprime_mul_iff_right : Coprime k (m * n) ↔ Coprime k m ∧ Coprime k n := by rw [@coprime_comm k, @coprime_comm k, @coprime_comm k, coprime_mul_iff_left] theorem Coprime.gcd_left (k : Nat) (hmn : Coprime m n) : Coprime (gcd k m) n := hmn.coprime_dvd_left <| gcd_dvd_right k m theorem Coprime.gcd_right (k : Nat) (hmn : Coprime m n) : Coprime m (gcd k n) := hmn.coprime_dvd_right <| gcd_dvd_right k n theorem Coprime.gcd_both (k l : Nat) (hmn : Coprime m n) : Coprime (gcd k m) (gcd l n) := (hmn.gcd_left k).gcd_right l theorem Coprime.mul_dvd_of_dvd_of_dvd (hmn : Coprime m n) (hm : m ∣ a) (hn : n ∣ a) : m * n ∣ a := let ⟨_, hk⟩ := hm hk.symm ▸ Nat.mul_dvd_mul_left _ (hmn.symm.dvd_of_dvd_mul_left (hk ▸ hn)) @[simp] theorem coprime_zero_left (n : Nat) : Coprime 0 n ↔ n = 1 := by simp [Coprime] @[simp] theorem coprime_zero_right (n : Nat) : Coprime n 0 ↔ n = 1 := by simp [Coprime] theorem coprime_one_left : ∀ n, Coprime 1 n := gcd_one_left theorem coprime_one_right : ∀ n, Coprime n 1 := gcd_one_right @[simp] theorem coprime_one_left_eq_true (n) : Coprime 1 n = True := eq_true (coprime_one_left _) @[simp] theorem coprime_one_right_eq_true (n) : Coprime n 1 = True := eq_true (coprime_one_right _) @[simp] theorem coprime_self (n : Nat) : Coprime n n ↔ n = 1 := by simp [Coprime]
.lake/packages/batteries/Batteries/Data/Nat/Gcd.lean
157
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theorem Coprime.pow_left (n : Nat) (H1 : Coprime m k) : Coprime (m ^ n) k := by
induction n with | zero => exact coprime_one_left _ | succ n ih => have hm := H1.mul ih; rwa [Nat.pow_succ, Nat.mul_comm]
import Mathlib.SetTheory.Ordinal.Basic import Mathlib.Data.Nat.SuccPred #align_import set_theory.ordinal.arithmetic from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7" assert_not_exists Field assert_not_exists Module noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal variable {α : Type*} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop} {t : γ → γ → Prop} @[simp] theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b := Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ => Quotient.sound ⟨(RelIso.preimage Equiv.ulift _).trans (RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩ #align ordinal.lift_add Ordinal.lift_add @[simp] theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by rw [← add_one_eq_succ, lift_add, lift_one] rfl #align ordinal.lift_succ Ordinal.lift_succ instance add_contravariantClass_le : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· ≤ ·) := ⟨fun a b c => inductionOn a fun α r hr => inductionOn b fun β₁ s₁ hs₁ => inductionOn c fun β₂ s₂ hs₂ ⟨f⟩ => ⟨have fl : ∀ a, f (Sum.inl a) = Sum.inl a := fun a => by simpa only [InitialSeg.trans_apply, InitialSeg.leAdd_apply] using @InitialSeg.eq _ _ _ _ _ ((InitialSeg.leAdd r s₁).trans f) (InitialSeg.leAdd r s₂) a have : ∀ b, { b' // f (Sum.inr b) = Sum.inr b' } := by intro b; cases e : f (Sum.inr b) · rw [← fl] at e have := f.inj' e contradiction · exact ⟨_, rfl⟩ let g (b) := (this b).1 have fr : ∀ b, f (Sum.inr b) = Sum.inr (g b) := fun b => (this b).2 ⟨⟨⟨g, fun x y h => by injection f.inj' (by rw [fr, fr, h] : f (Sum.inr x) = f (Sum.inr y))⟩, @fun a b => by -- Porting note: -- `relEmbedding.coe_fn_to_embedding` & `initial_seg.coe_fn_to_rel_embedding` -- → `InitialSeg.coe_coe_fn` simpa only [Sum.lex_inr_inr, fr, InitialSeg.coe_coe_fn, Embedding.coeFn_mk] using @RelEmbedding.map_rel_iff _ _ _ _ f.toRelEmbedding (Sum.inr a) (Sum.inr b)⟩, fun a b H => by rcases f.init (by rw [fr] <;> exact Sum.lex_inr_inr.2 H) with ⟨a' | a', h⟩ · rw [fl] at h cases h · rw [fr] at h exact ⟨a', Sum.inr.inj h⟩⟩⟩⟩ #align ordinal.add_contravariant_class_le Ordinal.add_contravariantClass_le theorem add_left_cancel (a) {b c : Ordinal} : a + b = a + c ↔ b = c := by simp only [le_antisymm_iff, add_le_add_iff_left] #align ordinal.add_left_cancel Ordinal.add_left_cancel private theorem add_lt_add_iff_left' (a) {b c : Ordinal} : a + b < a + c ↔ b < c := by rw [← not_le, ← not_le, add_le_add_iff_left] instance add_covariantClass_lt : CovariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) := ⟨fun a _b _c => (add_lt_add_iff_left' a).2⟩ #align ordinal.add_covariant_class_lt Ordinal.add_covariantClass_lt instance add_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (· + ·) (· < ·) := ⟨fun a _b _c => (add_lt_add_iff_left' a).1⟩ #align ordinal.add_contravariant_class_lt Ordinal.add_contravariantClass_lt instance add_swap_contravariantClass_lt : ContravariantClass Ordinal.{u} Ordinal.{u} (swap (· + ·)) (· < ·) := ⟨fun _a _b _c => lt_imp_lt_of_le_imp_le fun h => add_le_add_right h _⟩ #align ordinal.add_swap_contravariant_class_lt Ordinal.add_swap_contravariantClass_lt theorem add_le_add_iff_right {a b : Ordinal} : ∀ n : ℕ, a + n ≤ b + n ↔ a ≤ b | 0 => by simp | n + 1 => by simp only [natCast_succ, add_succ, add_succ, succ_le_succ_iff, add_le_add_iff_right] #align ordinal.add_le_add_iff_right Ordinal.add_le_add_iff_right theorem add_right_cancel {a b : Ordinal} (n : ℕ) : a + n = b + n ↔ a = b := by simp only [le_antisymm_iff, add_le_add_iff_right] #align ordinal.add_right_cancel Ordinal.add_right_cancel theorem add_eq_zero_iff {a b : Ordinal} : a + b = 0 ↔ a = 0 ∧ b = 0 := inductionOn a fun α r _ => inductionOn b fun β s _ => by simp_rw [← type_sum_lex, type_eq_zero_iff_isEmpty] exact isEmpty_sum #align ordinal.add_eq_zero_iff Ordinal.add_eq_zero_iff theorem left_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : a = 0 := (add_eq_zero_iff.1 h).1 #align ordinal.left_eq_zero_of_add_eq_zero Ordinal.left_eq_zero_of_add_eq_zero theorem right_eq_zero_of_add_eq_zero {a b : Ordinal} (h : a + b = 0) : b = 0 := (add_eq_zero_iff.1 h).2 #align ordinal.right_eq_zero_of_add_eq_zero Ordinal.right_eq_zero_of_add_eq_zero def pred (o : Ordinal) : Ordinal := if h : ∃ a, o = succ a then Classical.choose h else o #align ordinal.pred Ordinal.pred @[simp] theorem pred_succ (o) : pred (succ o) = o := by have h : ∃ a, succ o = succ a := ⟨_, rfl⟩; simpa only [pred, dif_pos h] using (succ_injective <| Classical.choose_spec h).symm #align ordinal.pred_succ Ordinal.pred_succ theorem pred_le_self (o) : pred o ≤ o := if h : ∃ a, o = succ a then by let ⟨a, e⟩ := h rw [e, pred_succ]; exact le_succ a else by rw [pred, dif_neg h] #align ordinal.pred_le_self Ordinal.pred_le_self theorem pred_eq_iff_not_succ {o} : pred o = o ↔ ¬∃ a, o = succ a := ⟨fun e ⟨a, e'⟩ => by rw [e', pred_succ] at e; exact (lt_succ a).ne e, fun h => dif_neg h⟩ #align ordinal.pred_eq_iff_not_succ Ordinal.pred_eq_iff_not_succ theorem pred_eq_iff_not_succ' {o} : pred o = o ↔ ∀ a, o ≠ succ a := by simpa using pred_eq_iff_not_succ #align ordinal.pred_eq_iff_not_succ' Ordinal.pred_eq_iff_not_succ' theorem pred_lt_iff_is_succ {o} : pred o < o ↔ ∃ a, o = succ a := Iff.trans (by simp only [le_antisymm_iff, pred_le_self, true_and_iff, not_le]) (iff_not_comm.1 pred_eq_iff_not_succ).symm #align ordinal.pred_lt_iff_is_succ Ordinal.pred_lt_iff_is_succ @[simp] theorem pred_zero : pred 0 = 0 := pred_eq_iff_not_succ'.2 fun a => (succ_ne_zero a).symm #align ordinal.pred_zero Ordinal.pred_zero theorem succ_pred_iff_is_succ {o} : succ (pred o) = o ↔ ∃ a, o = succ a := ⟨fun e => ⟨_, e.symm⟩, fun ⟨a, e⟩ => by simp only [e, pred_succ]⟩ #align ordinal.succ_pred_iff_is_succ Ordinal.succ_pred_iff_is_succ theorem succ_lt_of_not_succ {o b : Ordinal} (h : ¬∃ a, o = succ a) : succ b < o ↔ b < o := ⟨(lt_succ b).trans, fun l => lt_of_le_of_ne (succ_le_of_lt l) fun e => h ⟨_, e.symm⟩⟩ #align ordinal.succ_lt_of_not_succ Ordinal.succ_lt_of_not_succ theorem lt_pred {a b} : a < pred b ↔ succ a < b := if h : ∃ a, b = succ a then by let ⟨c, e⟩ := h rw [e, pred_succ, succ_lt_succ_iff] else by simp only [pred, dif_neg h, succ_lt_of_not_succ h] #align ordinal.lt_pred Ordinal.lt_pred theorem pred_le {a b} : pred a ≤ b ↔ a ≤ succ b := le_iff_le_iff_lt_iff_lt.2 lt_pred #align ordinal.pred_le Ordinal.pred_le @[simp] theorem lift_is_succ {o : Ordinal.{v}} : (∃ a, lift.{u} o = succ a) ↔ ∃ a, o = succ a := ⟨fun ⟨a, h⟩ => let ⟨b, e⟩ := lift_down <| show a ≤ lift.{u} o from le_of_lt <| h.symm ▸ lt_succ a ⟨b, lift_inj.1 <| by rw [h, ← e, lift_succ]⟩, fun ⟨a, h⟩ => ⟨lift.{u} a, by simp only [h, lift_succ]⟩⟩ #align ordinal.lift_is_succ Ordinal.lift_is_succ @[simp] theorem lift_pred (o : Ordinal.{v}) : lift.{u} (pred o) = pred (lift.{u} o) := if h : ∃ a, o = succ a then by cases' h with a e; simp only [e, pred_succ, lift_succ] else by rw [pred_eq_iff_not_succ.2 h, pred_eq_iff_not_succ.2 (mt lift_is_succ.1 h)] #align ordinal.lift_pred Ordinal.lift_pred def IsLimit (o : Ordinal) : Prop := o ≠ 0 ∧ ∀ a < o, succ a < o #align ordinal.is_limit Ordinal.IsLimit theorem IsLimit.isSuccLimit {o} (h : IsLimit o) : IsSuccLimit o := isSuccLimit_iff_succ_lt.mpr h.2 theorem IsLimit.succ_lt {o a : Ordinal} (h : IsLimit o) : a < o → succ a < o := h.2 a #align ordinal.is_limit.succ_lt Ordinal.IsLimit.succ_lt theorem isSuccLimit_zero : IsSuccLimit (0 : Ordinal) := isSuccLimit_bot theorem not_zero_isLimit : ¬IsLimit 0 | ⟨h, _⟩ => h rfl #align ordinal.not_zero_is_limit Ordinal.not_zero_isLimit theorem not_succ_isLimit (o) : ¬IsLimit (succ o) | ⟨_, h⟩ => lt_irrefl _ (h _ (lt_succ o)) #align ordinal.not_succ_is_limit Ordinal.not_succ_isLimit theorem not_succ_of_isLimit {o} (h : IsLimit o) : ¬∃ a, o = succ a | ⟨a, e⟩ => not_succ_isLimit a (e ▸ h) #align ordinal.not_succ_of_is_limit Ordinal.not_succ_of_isLimit theorem succ_lt_of_isLimit {o a : Ordinal} (h : IsLimit o) : succ a < o ↔ a < o := ⟨(lt_succ a).trans, h.2 _⟩ #align ordinal.succ_lt_of_is_limit Ordinal.succ_lt_of_isLimit theorem le_succ_of_isLimit {o} (h : IsLimit o) {a} : o ≤ succ a ↔ o ≤ a := le_iff_le_iff_lt_iff_lt.2 <| succ_lt_of_isLimit h #align ordinal.le_succ_of_is_limit Ordinal.le_succ_of_isLimit theorem limit_le {o} (h : IsLimit o) {a} : o ≤ a ↔ ∀ x < o, x ≤ a := ⟨fun h _x l => l.le.trans h, fun H => (le_succ_of_isLimit h).1 <| le_of_not_lt fun hn => not_lt_of_le (H _ hn) (lt_succ a)⟩ #align ordinal.limit_le Ordinal.limit_le theorem lt_limit {o} (h : IsLimit o) {a} : a < o ↔ ∃ x < o, a < x := by -- Porting note: `bex_def` is required. simpa only [not_forall₂, not_le, bex_def] using not_congr (@limit_le _ h a) #align ordinal.lt_limit Ordinal.lt_limit @[simp] theorem lift_isLimit (o) : IsLimit (lift o) ↔ IsLimit o := and_congr (not_congr <| by simpa only [lift_zero] using @lift_inj o 0) ⟨fun H a h => lift_lt.1 <| by simpa only [lift_succ] using H _ (lift_lt.2 h), fun H a h => by obtain ⟨a', rfl⟩ := lift_down h.le rw [← lift_succ, lift_lt] exact H a' (lift_lt.1 h)⟩ #align ordinal.lift_is_limit Ordinal.lift_isLimit theorem IsLimit.pos {o : Ordinal} (h : IsLimit o) : 0 < o := lt_of_le_of_ne (Ordinal.zero_le _) h.1.symm #align ordinal.is_limit.pos Ordinal.IsLimit.pos theorem IsLimit.one_lt {o : Ordinal} (h : IsLimit o) : 1 < o := by simpa only [succ_zero] using h.2 _ h.pos #align ordinal.is_limit.one_lt Ordinal.IsLimit.one_lt theorem IsLimit.nat_lt {o : Ordinal} (h : IsLimit o) : ∀ n : ℕ, (n : Ordinal) < o | 0 => h.pos | n + 1 => h.2 _ (IsLimit.nat_lt h n) #align ordinal.is_limit.nat_lt Ordinal.IsLimit.nat_lt theorem zero_or_succ_or_limit (o : Ordinal) : o = 0 ∨ (∃ a, o = succ a) ∨ IsLimit o := if o0 : o = 0 then Or.inl o0 else if h : ∃ a, o = succ a then Or.inr (Or.inl h) else Or.inr <| Or.inr ⟨o0, fun _a => (succ_lt_of_not_succ h).2⟩ #align ordinal.zero_or_succ_or_limit Ordinal.zero_or_succ_or_limit @[elab_as_elim] def limitRecOn {C : Ordinal → Sort*} (o : Ordinal) (H₁ : C 0) (H₂ : ∀ o, C o → C (succ o)) (H₃ : ∀ o, IsLimit o → (∀ o' < o, C o') → C o) : C o := SuccOrder.limitRecOn o (fun o _ ↦ H₂ o) fun o hl ↦ if h : o = 0 then fun _ ↦ h ▸ H₁ else H₃ o ⟨h, fun _ ↦ hl.succ_lt⟩ #align ordinal.limit_rec_on Ordinal.limitRecOn @[simp] theorem limitRecOn_zero {C} (H₁ H₂ H₃) : @limitRecOn C 0 H₁ H₂ H₃ = H₁ := by rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ isSuccLimit_zero, dif_pos rfl] #align ordinal.limit_rec_on_zero Ordinal.limitRecOn_zero @[simp] theorem limitRecOn_succ {C} (o H₁ H₂ H₃) : @limitRecOn C (succ o) H₁ H₂ H₃ = H₂ o (@limitRecOn C o H₁ H₂ H₃) := by simp_rw [limitRecOn, SuccOrder.limitRecOn_succ _ _ (not_isMax _)] #align ordinal.limit_rec_on_succ Ordinal.limitRecOn_succ @[simp] theorem limitRecOn_limit {C} (o H₁ H₂ H₃ h) : @limitRecOn C o H₁ H₂ H₃ = H₃ o h fun x _h => @limitRecOn C x H₁ H₂ H₃ := by simp_rw [limitRecOn, SuccOrder.limitRecOn_limit _ _ h.isSuccLimit, dif_neg h.1] #align ordinal.limit_rec_on_limit Ordinal.limitRecOn_limit instance orderTopOutSucc (o : Ordinal) : OrderTop (succ o).out.α := @OrderTop.mk _ _ (Top.mk _) le_enum_succ #align ordinal.order_top_out_succ Ordinal.orderTopOutSucc theorem enum_succ_eq_top {o : Ordinal} : enum (· < ·) o (by rw [type_lt] exact lt_succ o) = (⊤ : (succ o).out.α) := rfl #align ordinal.enum_succ_eq_top Ordinal.enum_succ_eq_top theorem has_succ_of_type_succ_lt {α} {r : α → α → Prop} [wo : IsWellOrder α r] (h : ∀ a < type r, succ a < type r) (x : α) : ∃ y, r x y := by use enum r (succ (typein r x)) (h _ (typein_lt_type r x)) convert (enum_lt_enum (typein_lt_type r x) (h _ (typein_lt_type r x))).mpr (lt_succ _); rw [enum_typein] #align ordinal.has_succ_of_type_succ_lt Ordinal.has_succ_of_type_succ_lt theorem out_no_max_of_succ_lt {o : Ordinal} (ho : ∀ a < o, succ a < o) : NoMaxOrder o.out.α := ⟨has_succ_of_type_succ_lt (by rwa [type_lt])⟩ #align ordinal.out_no_max_of_succ_lt Ordinal.out_no_max_of_succ_lt theorem bounded_singleton {r : α → α → Prop} [IsWellOrder α r] (hr : (type r).IsLimit) (x) : Bounded r {x} := by refine ⟨enum r (succ (typein r x)) (hr.2 _ (typein_lt_type r x)), ?_⟩ intro b hb rw [mem_singleton_iff.1 hb] nth_rw 1 [← enum_typein r x] rw [@enum_lt_enum _ r] apply lt_succ #align ordinal.bounded_singleton Ordinal.bounded_singleton -- Porting note: `· < ·` requires a type ascription for an `IsWellOrder` instance. theorem type_subrel_lt (o : Ordinal.{u}) : type (Subrel ((· < ·) : Ordinal → Ordinal → Prop) { o' : Ordinal | o' < o }) = Ordinal.lift.{u + 1} o := by refine Quotient.inductionOn o ?_ rintro ⟨α, r, wo⟩; apply Quotient.sound -- Porting note: `symm; refine' [term]` → `refine' [term].symm` constructor; refine ((RelIso.preimage Equiv.ulift r).trans (enumIso r).symm).symm #align ordinal.type_subrel_lt Ordinal.type_subrel_lt theorem mk_initialSeg (o : Ordinal.{u}) : #{ o' : Ordinal | o' < o } = Cardinal.lift.{u + 1} o.card := by rw [lift_card, ← type_subrel_lt, card_type] #align ordinal.mk_initial_seg Ordinal.mk_initialSeg def IsNormal (f : Ordinal → Ordinal) : Prop := (∀ o, f o < f (succ o)) ∧ ∀ o, IsLimit o → ∀ a, f o ≤ a ↔ ∀ b < o, f b ≤ a #align ordinal.is_normal Ordinal.IsNormal theorem IsNormal.limit_le {f} (H : IsNormal f) : ∀ {o}, IsLimit o → ∀ {a}, f o ≤ a ↔ ∀ b < o, f b ≤ a := @H.2 #align ordinal.is_normal.limit_le Ordinal.IsNormal.limit_le theorem IsNormal.limit_lt {f} (H : IsNormal f) {o} (h : IsLimit o) {a} : a < f o ↔ ∃ b < o, a < f b := not_iff_not.1 <| by simpa only [exists_prop, not_exists, not_and, not_lt] using H.2 _ h a #align ordinal.is_normal.limit_lt Ordinal.IsNormal.limit_lt theorem IsNormal.strictMono {f} (H : IsNormal f) : StrictMono f := fun a b => limitRecOn b (Not.elim (not_lt_of_le <| Ordinal.zero_le _)) (fun _b IH h => (lt_or_eq_of_le (le_of_lt_succ h)).elim (fun h => (IH h).trans (H.1 _)) fun e => e ▸ H.1 _) fun _b l _IH h => lt_of_lt_of_le (H.1 a) ((H.2 _ l _).1 le_rfl _ (l.2 _ h)) #align ordinal.is_normal.strict_mono Ordinal.IsNormal.strictMono theorem IsNormal.monotone {f} (H : IsNormal f) : Monotone f := H.strictMono.monotone #align ordinal.is_normal.monotone Ordinal.IsNormal.monotone theorem isNormal_iff_strictMono_limit (f : Ordinal → Ordinal) : IsNormal f ↔ StrictMono f ∧ ∀ o, IsLimit o → ∀ a, (∀ b < o, f b ≤ a) → f o ≤ a := ⟨fun hf => ⟨hf.strictMono, fun a ha c => (hf.2 a ha c).2⟩, fun ⟨hs, hl⟩ => ⟨fun a => hs (lt_succ a), fun a ha c => ⟨fun hac _b hba => ((hs hba).trans_le hac).le, hl a ha c⟩⟩⟩ #align ordinal.is_normal_iff_strict_mono_limit Ordinal.isNormal_iff_strictMono_limit theorem IsNormal.lt_iff {f} (H : IsNormal f) {a b} : f a < f b ↔ a < b := StrictMono.lt_iff_lt <| H.strictMono #align ordinal.is_normal.lt_iff Ordinal.IsNormal.lt_iff theorem IsNormal.le_iff {f} (H : IsNormal f) {a b} : f a ≤ f b ↔ a ≤ b := le_iff_le_iff_lt_iff_lt.2 H.lt_iff #align ordinal.is_normal.le_iff Ordinal.IsNormal.le_iff theorem IsNormal.inj {f} (H : IsNormal f) {a b} : f a = f b ↔ a = b := by simp only [le_antisymm_iff, H.le_iff] #align ordinal.is_normal.inj Ordinal.IsNormal.inj theorem IsNormal.self_le {f} (H : IsNormal f) (a) : a ≤ f a := lt_wf.self_le_of_strictMono H.strictMono a #align ordinal.is_normal.self_le Ordinal.IsNormal.self_le theorem IsNormal.le_set {f o} (H : IsNormal f) (p : Set Ordinal) (p0 : p.Nonempty) (b) (H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f a ≤ o := ⟨fun h a pa => (H.le_iff.2 ((H₂ _).1 le_rfl _ pa)).trans h, fun h => by -- Porting note: `refine'` didn't work well so `induction` is used induction b using limitRecOn with | H₁ => cases' p0 with x px have := Ordinal.le_zero.1 ((H₂ _).1 (Ordinal.zero_le _) _ px) rw [this] at px exact h _ px | H₂ S _ => rcases not_forall₂.1 (mt (H₂ S).2 <| (lt_succ S).not_le) with ⟨a, h₁, h₂⟩ exact (H.le_iff.2 <| succ_le_of_lt <| not_le.1 h₂).trans (h _ h₁) | H₃ S L _ => refine (H.2 _ L _).2 fun a h' => ?_ rcases not_forall₂.1 (mt (H₂ a).2 h'.not_le) with ⟨b, h₁, h₂⟩ exact (H.le_iff.2 <| (not_le.1 h₂).le).trans (h _ h₁)⟩ #align ordinal.is_normal.le_set Ordinal.IsNormal.le_set theorem IsNormal.le_set' {f o} (H : IsNormal f) (p : Set α) (p0 : p.Nonempty) (g : α → Ordinal) (b) (H₂ : ∀ o, b ≤ o ↔ ∀ a ∈ p, g a ≤ o) : f b ≤ o ↔ ∀ a ∈ p, f (g a) ≤ o := by simpa [H₂] using H.le_set (g '' p) (p0.image g) b #align ordinal.is_normal.le_set' Ordinal.IsNormal.le_set' theorem IsNormal.refl : IsNormal id := ⟨lt_succ, fun _o l _a => Ordinal.limit_le l⟩ #align ordinal.is_normal.refl Ordinal.IsNormal.refl theorem IsNormal.trans {f g} (H₁ : IsNormal f) (H₂ : IsNormal g) : IsNormal (f ∘ g) := ⟨fun _x => H₁.lt_iff.2 (H₂.1 _), fun o l _a => H₁.le_set' (· < o) ⟨0, l.pos⟩ g _ fun _c => H₂.2 _ l _⟩ #align ordinal.is_normal.trans Ordinal.IsNormal.trans theorem IsNormal.isLimit {f} (H : IsNormal f) {o} (l : IsLimit o) : IsLimit (f o) := ⟨ne_of_gt <| (Ordinal.zero_le _).trans_lt <| H.lt_iff.2 l.pos, fun _ h => let ⟨_b, h₁, h₂⟩ := (H.limit_lt l).1 h (succ_le_of_lt h₂).trans_lt (H.lt_iff.2 h₁)⟩ #align ordinal.is_normal.is_limit Ordinal.IsNormal.isLimit theorem IsNormal.le_iff_eq {f} (H : IsNormal f) {a} : f a ≤ a ↔ f a = a := (H.self_le a).le_iff_eq #align ordinal.is_normal.le_iff_eq Ordinal.IsNormal.le_iff_eq theorem add_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a + b ≤ c ↔ ∀ b' < b, a + b' ≤ c := ⟨fun h b' l => (add_le_add_left l.le _).trans h, fun H => le_of_not_lt <| by -- Porting note: `induction` tactics are required because of the parser bug. induction a using inductionOn with | H α r => induction b using inductionOn with | H β s => intro l suffices ∀ x : β, Sum.Lex r s (Sum.inr x) (enum _ _ l) by -- Porting note: `revert` & `intro` is required because `cases'` doesn't replace -- `enum _ _ l` in `this`. revert this; cases' enum _ _ l with x x <;> intro this · cases this (enum s 0 h.pos) · exact irrefl _ (this _) intro x rw [← typein_lt_typein (Sum.Lex r s), typein_enum] have := H _ (h.2 _ (typein_lt_type s x)) rw [add_succ, succ_le_iff] at this refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this · rcases a with ⟨a | b, h⟩ · exact Sum.inl a · exact Sum.inr ⟨b, by cases h; assumption⟩ · rcases a with ⟨a | a, h₁⟩ <;> rcases b with ⟨b | b, h₂⟩ <;> cases h₁ <;> cases h₂ <;> rintro ⟨⟩ <;> constructor <;> assumption⟩ #align ordinal.add_le_of_limit Ordinal.add_le_of_limit theorem add_isNormal (a : Ordinal) : IsNormal (a + ·) := ⟨fun b => (add_lt_add_iff_left a).2 (lt_succ b), fun _b l _c => add_le_of_limit l⟩ #align ordinal.add_is_normal Ordinal.add_isNormal theorem add_isLimit (a) {b} : IsLimit b → IsLimit (a + b) := (add_isNormal a).isLimit #align ordinal.add_is_limit Ordinal.add_isLimit alias IsLimit.add := add_isLimit #align ordinal.is_limit.add Ordinal.IsLimit.add theorem sub_nonempty {a b : Ordinal} : { o | a ≤ b + o }.Nonempty := ⟨a, le_add_left _ _⟩ #align ordinal.sub_nonempty Ordinal.sub_nonempty instance sub : Sub Ordinal := ⟨fun a b => sInf { o | a ≤ b + o }⟩ theorem le_add_sub (a b : Ordinal) : a ≤ b + (a - b) := csInf_mem sub_nonempty #align ordinal.le_add_sub Ordinal.le_add_sub theorem sub_le {a b c : Ordinal} : a - b ≤ c ↔ a ≤ b + c := ⟨fun h => (le_add_sub a b).trans (add_le_add_left h _), fun h => csInf_le' h⟩ #align ordinal.sub_le Ordinal.sub_le theorem lt_sub {a b c : Ordinal} : a < b - c ↔ c + a < b := lt_iff_lt_of_le_iff_le sub_le #align ordinal.lt_sub Ordinal.lt_sub theorem add_sub_cancel (a b : Ordinal) : a + b - a = b := le_antisymm (sub_le.2 <| le_rfl) ((add_le_add_iff_left a).1 <| le_add_sub _ _) #align ordinal.add_sub_cancel Ordinal.add_sub_cancel theorem sub_eq_of_add_eq {a b c : Ordinal} (h : a + b = c) : c - a = b := h ▸ add_sub_cancel _ _ #align ordinal.sub_eq_of_add_eq Ordinal.sub_eq_of_add_eq theorem sub_le_self (a b : Ordinal) : a - b ≤ a := sub_le.2 <| le_add_left _ _ #align ordinal.sub_le_self Ordinal.sub_le_self protected theorem add_sub_cancel_of_le {a b : Ordinal} (h : b ≤ a) : b + (a - b) = a := (le_add_sub a b).antisymm' (by rcases zero_or_succ_or_limit (a - b) with (e | ⟨c, e⟩ | l) · simp only [e, add_zero, h] · rw [e, add_succ, succ_le_iff, ← lt_sub, e] exact lt_succ c · exact (add_le_of_limit l).2 fun c l => (lt_sub.1 l).le) #align ordinal.add_sub_cancel_of_le Ordinal.add_sub_cancel_of_le theorem le_sub_of_le {a b c : Ordinal} (h : b ≤ a) : c ≤ a - b ↔ b + c ≤ a := by rw [← add_le_add_iff_left b, Ordinal.add_sub_cancel_of_le h] #align ordinal.le_sub_of_le Ordinal.le_sub_of_le theorem sub_lt_of_le {a b c : Ordinal} (h : b ≤ a) : a - b < c ↔ a < b + c := lt_iff_lt_of_le_iff_le (le_sub_of_le h) #align ordinal.sub_lt_of_le Ordinal.sub_lt_of_le instance existsAddOfLE : ExistsAddOfLE Ordinal := ⟨fun h => ⟨_, (Ordinal.add_sub_cancel_of_le h).symm⟩⟩ @[simp] theorem sub_zero (a : Ordinal) : a - 0 = a := by simpa only [zero_add] using add_sub_cancel 0 a #align ordinal.sub_zero Ordinal.sub_zero @[simp] theorem zero_sub (a : Ordinal) : 0 - a = 0 := by rw [← Ordinal.le_zero]; apply sub_le_self #align ordinal.zero_sub Ordinal.zero_sub @[simp] theorem sub_self (a : Ordinal) : a - a = 0 := by simpa only [add_zero] using add_sub_cancel a 0 #align ordinal.sub_self Ordinal.sub_self protected theorem sub_eq_zero_iff_le {a b : Ordinal} : a - b = 0 ↔ a ≤ b := ⟨fun h => by simpa only [h, add_zero] using le_add_sub a b, fun h => by rwa [← Ordinal.le_zero, sub_le, add_zero]⟩ #align ordinal.sub_eq_zero_iff_le Ordinal.sub_eq_zero_iff_le theorem sub_sub (a b c : Ordinal) : a - b - c = a - (b + c) := eq_of_forall_ge_iff fun d => by rw [sub_le, sub_le, sub_le, add_assoc] #align ordinal.sub_sub Ordinal.sub_sub @[simp] theorem add_sub_add_cancel (a b c : Ordinal) : a + b - (a + c) = b - c := by rw [← sub_sub, add_sub_cancel] #align ordinal.add_sub_add_cancel Ordinal.add_sub_add_cancel theorem sub_isLimit {a b} (l : IsLimit a) (h : b < a) : IsLimit (a - b) := ⟨ne_of_gt <| lt_sub.2 <| by rwa [add_zero], fun c h => by rw [lt_sub, add_succ]; exact l.2 _ (lt_sub.1 h)⟩ #align ordinal.sub_is_limit Ordinal.sub_isLimit -- @[simp] -- Porting note (#10618): simp can prove this theorem one_add_omega : 1 + ω = ω := by refine le_antisymm ?_ (le_add_left _ _) rw [omega, ← lift_one.{_, 0}, ← lift_add, lift_le, ← type_unit, ← type_sum_lex] refine ⟨RelEmbedding.collapse (RelEmbedding.ofMonotone ?_ ?_)⟩ · apply Sum.rec · exact fun _ => 0 · exact Nat.succ · intro a b cases a <;> cases b <;> intro H <;> cases' H with _ _ H _ _ H <;> [exact H.elim; exact Nat.succ_pos _; exact Nat.succ_lt_succ H] #align ordinal.one_add_omega Ordinal.one_add_omega @[simp] theorem one_add_of_omega_le {o} (h : ω ≤ o) : 1 + o = o := by rw [← Ordinal.add_sub_cancel_of_le h, ← add_assoc, one_add_omega] #align ordinal.one_add_of_omega_le Ordinal.one_add_of_omega_le instance monoid : Monoid Ordinal.{u} where mul a b := Quotient.liftOn₂ a b (fun ⟨α, r, wo⟩ ⟨β, s, wo'⟩ => ⟦⟨β × α, Prod.Lex s r, inferInstance⟩⟧ : WellOrder → WellOrder → Ordinal) fun ⟨α₁, r₁, o₁⟩ ⟨α₂, r₂, o₂⟩ ⟨β₁, s₁, p₁⟩ ⟨β₂, s₂, p₂⟩ ⟨f⟩ ⟨g⟩ => Quot.sound ⟨RelIso.prodLexCongr g f⟩ one := 1 mul_assoc a b c := Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ => Eq.symm <| Quotient.sound ⟨⟨prodAssoc _ _ _, @fun a b => by rcases a with ⟨⟨a₁, a₂⟩, a₃⟩ rcases b with ⟨⟨b₁, b₂⟩, b₃⟩ simp [Prod.lex_def, and_or_left, or_assoc, and_assoc]⟩⟩ mul_one a := inductionOn a fun α r _ => Quotient.sound ⟨⟨punitProd _, @fun a b => by rcases a with ⟨⟨⟨⟩⟩, a⟩; rcases b with ⟨⟨⟨⟩⟩, b⟩ simp only [Prod.lex_def, EmptyRelation, false_or_iff] simp only [eq_self_iff_true, true_and_iff] rfl⟩⟩ one_mul a := inductionOn a fun α r _ => Quotient.sound ⟨⟨prodPUnit _, @fun a b => by rcases a with ⟨a, ⟨⟨⟩⟩⟩; rcases b with ⟨b, ⟨⟨⟩⟩⟩ simp only [Prod.lex_def, EmptyRelation, and_false_iff, or_false_iff] rfl⟩⟩ @[simp] theorem type_prod_lex {α β : Type u} (r : α → α → Prop) (s : β → β → Prop) [IsWellOrder α r] [IsWellOrder β s] : type (Prod.Lex s r) = type r * type s := rfl #align ordinal.type_prod_lex Ordinal.type_prod_lex private theorem mul_eq_zero' {a b : Ordinal} : a * b = 0 ↔ a = 0 ∨ b = 0 := inductionOn a fun α _ _ => inductionOn b fun β _ _ => by simp_rw [← type_prod_lex, type_eq_zero_iff_isEmpty] rw [or_comm] exact isEmpty_prod instance monoidWithZero : MonoidWithZero Ordinal := { Ordinal.monoid with zero := 0 mul_zero := fun _a => mul_eq_zero'.2 <| Or.inr rfl zero_mul := fun _a => mul_eq_zero'.2 <| Or.inl rfl } instance noZeroDivisors : NoZeroDivisors Ordinal := ⟨fun {_ _} => mul_eq_zero'.1⟩ @[simp] theorem lift_mul (a b : Ordinal.{v}) : lift.{u} (a * b) = lift.{u} a * lift.{u} b := Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ => Quotient.sound ⟨(RelIso.preimage Equiv.ulift _).trans (RelIso.prodLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩ #align ordinal.lift_mul Ordinal.lift_mul @[simp] theorem card_mul (a b) : card (a * b) = card a * card b := Quotient.inductionOn₂ a b fun ⟨α, _r, _⟩ ⟨β, _s, _⟩ => mul_comm #β #α #align ordinal.card_mul Ordinal.card_mul instance leftDistribClass : LeftDistribClass Ordinal.{u} := ⟨fun a b c => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ => Quotient.sound ⟨⟨sumProdDistrib _ _ _, by rintro ⟨a₁ | a₁, a₂⟩ ⟨b₁ | b₁, b₂⟩ <;> simp only [Prod.lex_def, Sum.lex_inl_inl, Sum.Lex.sep, Sum.lex_inr_inl, Sum.lex_inr_inr, sumProdDistrib_apply_left, sumProdDistrib_apply_right] <;> -- Porting note: `Sum.inr.inj_iff` is required. simp only [Sum.inl.inj_iff, Sum.inr.inj_iff, true_or_iff, false_and_iff, false_or_iff]⟩⟩⟩ theorem mul_succ (a b : Ordinal) : a * succ b = a * b + a := mul_add_one a b #align ordinal.mul_succ Ordinal.mul_succ instance mul_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (· * ·) (· ≤ ·) := ⟨fun c a b => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by refine (RelEmbedding.ofMonotone (fun a : α × γ => (f a.1, a.2)) fun a b h => ?_).ordinal_type_le cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h' · exact Prod.Lex.left _ _ (f.toRelEmbedding.map_rel_iff.2 h') · exact Prod.Lex.right _ h'⟩ #align ordinal.mul_covariant_class_le Ordinal.mul_covariantClass_le instance mul_swap_covariantClass_le : CovariantClass Ordinal.{u} Ordinal.{u} (swap (· * ·)) (· ≤ ·) := ⟨fun c a b => Quotient.inductionOn₃ a b c fun ⟨α, r, _⟩ ⟨β, s, _⟩ ⟨γ, t, _⟩ ⟨f⟩ => by refine (RelEmbedding.ofMonotone (fun a : γ × α => (a.1, f a.2)) fun a b h => ?_).ordinal_type_le cases' h with a₁ b₁ a₂ b₂ h' a b₁ b₂ h' · exact Prod.Lex.left _ _ h' · exact Prod.Lex.right _ (f.toRelEmbedding.map_rel_iff.2 h')⟩ #align ordinal.mul_swap_covariant_class_le Ordinal.mul_swap_covariantClass_le theorem le_mul_left (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ a * b := by convert mul_le_mul_left' (one_le_iff_pos.2 hb) a rw [mul_one a] #align ordinal.le_mul_left Ordinal.le_mul_left theorem le_mul_right (a : Ordinal) {b : Ordinal} (hb : 0 < b) : a ≤ b * a := by convert mul_le_mul_right' (one_le_iff_pos.2 hb) a rw [one_mul a] #align ordinal.le_mul_right Ordinal.le_mul_right private theorem mul_le_of_limit_aux {α β r s} [IsWellOrder α r] [IsWellOrder β s] {c} (h : IsLimit (type s)) (H : ∀ b' < type s, type r * b' ≤ c) (l : c < type r * type s) : False := by suffices ∀ a b, Prod.Lex s r (b, a) (enum _ _ l) by cases' enum _ _ l with b a exact irrefl _ (this _ _) intro a b rw [← typein_lt_typein (Prod.Lex s r), typein_enum] have := H _ (h.2 _ (typein_lt_type s b)) rw [mul_succ] at this have := ((add_lt_add_iff_left _).2 (typein_lt_type _ a)).trans_le this refine (RelEmbedding.ofMonotone (fun a => ?_) fun a b => ?_).ordinal_type_le.trans_lt this · rcases a with ⟨⟨b', a'⟩, h⟩ by_cases e : b = b' · refine Sum.inr ⟨a', ?_⟩ subst e cases' h with _ _ _ _ h _ _ _ h · exact (irrefl _ h).elim · exact h · refine Sum.inl (⟨b', ?_⟩, a') cases' h with _ _ _ _ h _ _ _ h · exact h · exact (e rfl).elim · rcases a with ⟨⟨b₁, a₁⟩, h₁⟩ rcases b with ⟨⟨b₂, a₂⟩, h₂⟩ intro h by_cases e₁ : b = b₁ <;> by_cases e₂ : b = b₂ · substs b₁ b₂ simpa only [subrel_val, Prod.lex_def, @irrefl _ s _ b, true_and_iff, false_or_iff, eq_self_iff_true, dif_pos, Sum.lex_inr_inr] using h · subst b₁ simp only [subrel_val, Prod.lex_def, e₂, Prod.lex_def, dif_pos, subrel_val, eq_self_iff_true, or_false_iff, dif_neg, not_false_iff, Sum.lex_inr_inl, false_and_iff] at h ⊢ cases' h₂ with _ _ _ _ h₂_h h₂_h <;> [exact asymm h h₂_h; exact e₂ rfl] -- Porting note: `cc` hadn't ported yet. · simp [e₂, dif_neg e₁, show b₂ ≠ b₁ from e₂ ▸ e₁] · simpa only [dif_neg e₁, dif_neg e₂, Prod.lex_def, subrel_val, Subtype.mk_eq_mk, Sum.lex_inl_inl] using h theorem mul_le_of_limit {a b c : Ordinal} (h : IsLimit b) : a * b ≤ c ↔ ∀ b' < b, a * b' ≤ c := ⟨fun h b' l => (mul_le_mul_left' l.le _).trans h, fun H => -- Porting note: `induction` tactics are required because of the parser bug. le_of_not_lt <| by induction a using inductionOn with | H α r => induction b using inductionOn with | H β s => exact mul_le_of_limit_aux h H⟩ #align ordinal.mul_le_of_limit Ordinal.mul_le_of_limit theorem mul_isNormal {a : Ordinal} (h : 0 < a) : IsNormal (a * ·) := -- Porting note(#12129): additional beta reduction needed ⟨fun b => by beta_reduce rw [mul_succ] simpa only [add_zero] using (add_lt_add_iff_left (a * b)).2 h, fun b l c => mul_le_of_limit l⟩ #align ordinal.mul_is_normal Ordinal.mul_isNormal theorem lt_mul_of_limit {a b c : Ordinal} (h : IsLimit c) : a < b * c ↔ ∃ c' < c, a < b * c' := by -- Porting note: `bex_def` is required. simpa only [not_forall₂, not_le, bex_def] using not_congr (@mul_le_of_limit b c a h) #align ordinal.lt_mul_of_limit Ordinal.lt_mul_of_limit theorem mul_lt_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b < a * c ↔ b < c := (mul_isNormal a0).lt_iff #align ordinal.mul_lt_mul_iff_left Ordinal.mul_lt_mul_iff_left theorem mul_le_mul_iff_left {a b c : Ordinal} (a0 : 0 < a) : a * b ≤ a * c ↔ b ≤ c := (mul_isNormal a0).le_iff #align ordinal.mul_le_mul_iff_left Ordinal.mul_le_mul_iff_left theorem mul_lt_mul_of_pos_left {a b c : Ordinal} (h : a < b) (c0 : 0 < c) : c * a < c * b := (mul_lt_mul_iff_left c0).2 h #align ordinal.mul_lt_mul_of_pos_left Ordinal.mul_lt_mul_of_pos_left theorem mul_pos {a b : Ordinal} (h₁ : 0 < a) (h₂ : 0 < b) : 0 < a * b := by simpa only [mul_zero] using mul_lt_mul_of_pos_left h₂ h₁ #align ordinal.mul_pos Ordinal.mul_pos theorem mul_ne_zero {a b : Ordinal} : a ≠ 0 → b ≠ 0 → a * b ≠ 0 := by simpa only [Ordinal.pos_iff_ne_zero] using mul_pos #align ordinal.mul_ne_zero Ordinal.mul_ne_zero theorem le_of_mul_le_mul_left {a b c : Ordinal} (h : c * a ≤ c * b) (h0 : 0 < c) : a ≤ b := le_imp_le_of_lt_imp_lt (fun h' => mul_lt_mul_of_pos_left h' h0) h #align ordinal.le_of_mul_le_mul_left Ordinal.le_of_mul_le_mul_left theorem mul_right_inj {a b c : Ordinal} (a0 : 0 < a) : a * b = a * c ↔ b = c := (mul_isNormal a0).inj #align ordinal.mul_right_inj Ordinal.mul_right_inj theorem mul_isLimit {a b : Ordinal} (a0 : 0 < a) : IsLimit b → IsLimit (a * b) := (mul_isNormal a0).isLimit #align ordinal.mul_is_limit Ordinal.mul_isLimit theorem mul_isLimit_left {a b : Ordinal} (l : IsLimit a) (b0 : 0 < b) : IsLimit (a * b) := by rcases zero_or_succ_or_limit b with (rfl | ⟨b, rfl⟩ | lb) · exact b0.false.elim · rw [mul_succ] exact add_isLimit _ l · exact mul_isLimit l.pos lb #align ordinal.mul_is_limit_left Ordinal.mul_isLimit_left theorem smul_eq_mul : ∀ (n : ℕ) (a : Ordinal), n • a = a * n | 0, a => by rw [zero_nsmul, Nat.cast_zero, mul_zero] | n + 1, a => by rw [succ_nsmul, Nat.cast_add, mul_add, Nat.cast_one, mul_one, smul_eq_mul n] #align ordinal.smul_eq_mul Ordinal.smul_eq_mul theorem div_nonempty {a b : Ordinal} (h : b ≠ 0) : { o | a < b * succ o }.Nonempty := ⟨a, (succ_le_iff (a := a) (b := b * succ a)).1 <| by simpa only [succ_zero, one_mul] using mul_le_mul_right' (succ_le_of_lt (Ordinal.pos_iff_ne_zero.2 h)) (succ a)⟩ #align ordinal.div_nonempty Ordinal.div_nonempty instance div : Div Ordinal := ⟨fun a b => if _h : b = 0 then 0 else sInf { o | a < b * succ o }⟩ @[simp] theorem div_zero (a : Ordinal) : a / 0 = 0 := dif_pos rfl #align ordinal.div_zero Ordinal.div_zero theorem div_def (a) {b : Ordinal} (h : b ≠ 0) : a / b = sInf { o | a < b * succ o } := dif_neg h #align ordinal.div_def Ordinal.div_def theorem lt_mul_succ_div (a) {b : Ordinal} (h : b ≠ 0) : a < b * succ (a / b) := by rw [div_def a h]; exact csInf_mem (div_nonempty h) #align ordinal.lt_mul_succ_div Ordinal.lt_mul_succ_div theorem lt_mul_div_add (a) {b : Ordinal} (h : b ≠ 0) : a < b * (a / b) + b := by simpa only [mul_succ] using lt_mul_succ_div a h #align ordinal.lt_mul_div_add Ordinal.lt_mul_div_add theorem div_le {a b c : Ordinal} (b0 : b ≠ 0) : a / b ≤ c ↔ a < b * succ c := ⟨fun h => (lt_mul_succ_div a b0).trans_le (mul_le_mul_left' (succ_le_succ_iff.2 h) _), fun h => by rw [div_def a b0]; exact csInf_le' h⟩ #align ordinal.div_le Ordinal.div_le theorem lt_div {a b c : Ordinal} (h : c ≠ 0) : a < b / c ↔ c * succ a ≤ b := by rw [← not_le, div_le h, not_lt] #align ordinal.lt_div Ordinal.lt_div theorem div_pos {b c : Ordinal} (h : c ≠ 0) : 0 < b / c ↔ c ≤ b := by simp [lt_div h] #align ordinal.div_pos Ordinal.div_pos theorem le_div {a b c : Ordinal} (c0 : c ≠ 0) : a ≤ b / c ↔ c * a ≤ b := by induction a using limitRecOn with | H₁ => simp only [mul_zero, Ordinal.zero_le] | H₂ _ _ => rw [succ_le_iff, lt_div c0] | H₃ _ h₁ h₂ => revert h₁ h₂ simp (config := { contextual := true }) only [mul_le_of_limit, limit_le, iff_self_iff, forall_true_iff] #align ordinal.le_div Ordinal.le_div theorem div_lt {a b c : Ordinal} (b0 : b ≠ 0) : a / b < c ↔ a < b * c := lt_iff_lt_of_le_iff_le <| le_div b0 #align ordinal.div_lt Ordinal.div_lt theorem div_le_of_le_mul {a b c : Ordinal} (h : a ≤ b * c) : a / b ≤ c := if b0 : b = 0 then by simp only [b0, div_zero, Ordinal.zero_le] else (div_le b0).2 <| h.trans_lt <| mul_lt_mul_of_pos_left (lt_succ c) (Ordinal.pos_iff_ne_zero.2 b0) #align ordinal.div_le_of_le_mul Ordinal.div_le_of_le_mul theorem mul_lt_of_lt_div {a b c : Ordinal} : a < b / c → c * a < b := lt_imp_lt_of_le_imp_le div_le_of_le_mul #align ordinal.mul_lt_of_lt_div Ordinal.mul_lt_of_lt_div @[simp] theorem zero_div (a : Ordinal) : 0 / a = 0 := Ordinal.le_zero.1 <| div_le_of_le_mul <| Ordinal.zero_le _ #align ordinal.zero_div Ordinal.zero_div theorem mul_div_le (a b : Ordinal) : b * (a / b) ≤ a := if b0 : b = 0 then by simp only [b0, zero_mul, Ordinal.zero_le] else (le_div b0).1 le_rfl #align ordinal.mul_div_le Ordinal.mul_div_le theorem mul_add_div (a) {b : Ordinal} (b0 : b ≠ 0) (c) : (b * a + c) / b = a + c / b := by apply le_antisymm · apply (div_le b0).2 rw [mul_succ, mul_add, add_assoc, add_lt_add_iff_left] apply lt_mul_div_add _ b0 · rw [le_div b0, mul_add, add_le_add_iff_left] apply mul_div_le #align ordinal.mul_add_div Ordinal.mul_add_div theorem div_eq_zero_of_lt {a b : Ordinal} (h : a < b) : a / b = 0 := by rw [← Ordinal.le_zero, div_le <| Ordinal.pos_iff_ne_zero.1 <| (Ordinal.zero_le _).trans_lt h] simpa only [succ_zero, mul_one] using h #align ordinal.div_eq_zero_of_lt Ordinal.div_eq_zero_of_lt @[simp] theorem mul_div_cancel (a) {b : Ordinal} (b0 : b ≠ 0) : b * a / b = a := by simpa only [add_zero, zero_div] using mul_add_div a b0 0 #align ordinal.mul_div_cancel Ordinal.mul_div_cancel @[simp] theorem div_one (a : Ordinal) : a / 1 = a := by simpa only [one_mul] using mul_div_cancel a Ordinal.one_ne_zero #align ordinal.div_one Ordinal.div_one @[simp] theorem div_self {a : Ordinal} (h : a ≠ 0) : a / a = 1 := by simpa only [mul_one] using mul_div_cancel 1 h #align ordinal.div_self Ordinal.div_self theorem mul_sub (a b c : Ordinal) : a * (b - c) = a * b - a * c := if a0 : a = 0 then by simp only [a0, zero_mul, sub_self] else eq_of_forall_ge_iff fun d => by rw [sub_le, ← le_div a0, sub_le, ← le_div a0, mul_add_div _ a0] #align ordinal.mul_sub Ordinal.mul_sub theorem isLimit_add_iff {a b} : IsLimit (a + b) ↔ IsLimit b ∨ b = 0 ∧ IsLimit a := by constructor <;> intro h · by_cases h' : b = 0 · rw [h', add_zero] at h right exact ⟨h', h⟩ left rw [← add_sub_cancel a b] apply sub_isLimit h suffices a + 0 < a + b by simpa only [add_zero] using this rwa [add_lt_add_iff_left, Ordinal.pos_iff_ne_zero] rcases h with (h | ⟨rfl, h⟩) · exact add_isLimit a h · simpa only [add_zero] #align ordinal.is_limit_add_iff Ordinal.isLimit_add_iff theorem dvd_add_iff : ∀ {a b c : Ordinal}, a ∣ b → (a ∣ b + c ↔ a ∣ c) | a, _, c, ⟨b, rfl⟩ => ⟨fun ⟨d, e⟩ => ⟨d - b, by rw [mul_sub, ← e, add_sub_cancel]⟩, fun ⟨d, e⟩ => by rw [e, ← mul_add] apply dvd_mul_right⟩ #align ordinal.dvd_add_iff Ordinal.dvd_add_iff theorem div_mul_cancel : ∀ {a b : Ordinal}, a ≠ 0 → a ∣ b → a * (b / a) = b | a, _, a0, ⟨b, rfl⟩ => by rw [mul_div_cancel _ a0] #align ordinal.div_mul_cancel Ordinal.div_mul_cancel theorem le_of_dvd : ∀ {a b : Ordinal}, b ≠ 0 → a ∣ b → a ≤ b -- Porting note: `⟨b, rfl⟩ => by` → `⟨b, e⟩ => by subst e` | a, _, b0, ⟨b, e⟩ => by subst e -- Porting note: `Ne` is required. simpa only [mul_one] using mul_le_mul_left' (one_le_iff_ne_zero.2 fun h : b = 0 => by simp only [h, mul_zero, Ne, not_true_eq_false] at b0) a #align ordinal.le_of_dvd Ordinal.le_of_dvd theorem dvd_antisymm {a b : Ordinal} (h₁ : a ∣ b) (h₂ : b ∣ a) : a = b := if a0 : a = 0 then by subst a; exact (eq_zero_of_zero_dvd h₁).symm else if b0 : b = 0 then by subst b; exact eq_zero_of_zero_dvd h₂ else (le_of_dvd b0 h₁).antisymm (le_of_dvd a0 h₂) #align ordinal.dvd_antisymm Ordinal.dvd_antisymm instance isAntisymm : IsAntisymm Ordinal (· ∣ ·) := ⟨@dvd_antisymm⟩ instance mod : Mod Ordinal := ⟨fun a b => a - b * (a / b)⟩ theorem mod_def (a b : Ordinal) : a % b = a - b * (a / b) := rfl #align ordinal.mod_def Ordinal.mod_def theorem mod_le (a b : Ordinal) : a % b ≤ a := sub_le_self a _ #align ordinal.mod_le Ordinal.mod_le @[simp] theorem mod_zero (a : Ordinal) : a % 0 = a := by simp only [mod_def, div_zero, zero_mul, sub_zero] #align ordinal.mod_zero Ordinal.mod_zero theorem mod_eq_of_lt {a b : Ordinal} (h : a < b) : a % b = a := by simp only [mod_def, div_eq_zero_of_lt h, mul_zero, sub_zero] #align ordinal.mod_eq_of_lt Ordinal.mod_eq_of_lt @[simp] theorem zero_mod (b : Ordinal) : 0 % b = 0 := by simp only [mod_def, zero_div, mul_zero, sub_self] #align ordinal.zero_mod Ordinal.zero_mod theorem div_add_mod (a b : Ordinal) : b * (a / b) + a % b = a := Ordinal.add_sub_cancel_of_le <| mul_div_le _ _ #align ordinal.div_add_mod Ordinal.div_add_mod theorem mod_lt (a) {b : Ordinal} (h : b ≠ 0) : a % b < b := (add_lt_add_iff_left (b * (a / b))).1 <| by rw [div_add_mod]; exact lt_mul_div_add a h #align ordinal.mod_lt Ordinal.mod_lt @[simp] theorem mod_self (a : Ordinal) : a % a = 0 := if a0 : a = 0 then by simp only [a0, zero_mod] else by simp only [mod_def, div_self a0, mul_one, sub_self] #align ordinal.mod_self Ordinal.mod_self @[simp] theorem mod_one (a : Ordinal) : a % 1 = 0 := by simp only [mod_def, div_one, one_mul, sub_self] #align ordinal.mod_one Ordinal.mod_one theorem dvd_of_mod_eq_zero {a b : Ordinal} (H : a % b = 0) : b ∣ a := ⟨a / b, by simpa [H] using (div_add_mod a b).symm⟩ #align ordinal.dvd_of_mod_eq_zero Ordinal.dvd_of_mod_eq_zero theorem mod_eq_zero_of_dvd {a b : Ordinal} (H : b ∣ a) : a % b = 0 := by rcases H with ⟨c, rfl⟩ rcases eq_or_ne b 0 with (rfl | hb) · simp · simp [mod_def, hb] #align ordinal.mod_eq_zero_of_dvd Ordinal.mod_eq_zero_of_dvd theorem dvd_iff_mod_eq_zero {a b : Ordinal} : b ∣ a ↔ a % b = 0 := ⟨mod_eq_zero_of_dvd, dvd_of_mod_eq_zero⟩ #align ordinal.dvd_iff_mod_eq_zero Ordinal.dvd_iff_mod_eq_zero @[simp] theorem mul_add_mod_self (x y z : Ordinal) : (x * y + z) % x = z % x := by rcases eq_or_ne x 0 with rfl | hx · simp · rwa [mod_def, mul_add_div, mul_add, ← sub_sub, add_sub_cancel, mod_def] #align ordinal.mul_add_mod_self Ordinal.mul_add_mod_self @[simp] theorem mul_mod (x y : Ordinal) : x * y % x = 0 := by simpa using mul_add_mod_self x y 0 #align ordinal.mul_mod Ordinal.mul_mod theorem mod_mod_of_dvd (a : Ordinal) {b c : Ordinal} (h : c ∣ b) : a % b % c = a % c := by nth_rw 2 [← div_add_mod a b] rcases h with ⟨d, rfl⟩ rw [mul_assoc, mul_add_mod_self] #align ordinal.mod_mod_of_dvd Ordinal.mod_mod_of_dvd @[simp] theorem mod_mod (a b : Ordinal) : a % b % b = a % b := mod_mod_of_dvd a dvd_rfl #align ordinal.mod_mod Ordinal.mod_mod def bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) : ∀ a < type r, α := fun a ha => f (enum r a ha) #align ordinal.bfamily_of_family' Ordinal.bfamilyOfFamily' def bfamilyOfFamily {ι : Type u} : (ι → α) → ∀ a < type (@WellOrderingRel ι), α := bfamilyOfFamily' WellOrderingRel #align ordinal.bfamily_of_family Ordinal.bfamilyOfFamily def familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) : ι → α := fun i => f (typein r i) (by rw [← ho] exact typein_lt_type r i) #align ordinal.family_of_bfamily' Ordinal.familyOfBFamily' def familyOfBFamily (o : Ordinal) (f : ∀ a < o, α) : o.out.α → α := familyOfBFamily' (· < ·) (type_lt o) f #align ordinal.family_of_bfamily Ordinal.familyOfBFamily @[simp] theorem bfamilyOfFamily'_typein {ι} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) (i) : bfamilyOfFamily' r f (typein r i) (typein_lt_type r i) = f i := by simp only [bfamilyOfFamily', enum_typein] #align ordinal.bfamily_of_family'_typein Ordinal.bfamilyOfFamily'_typein @[simp] theorem bfamilyOfFamily_typein {ι} (f : ι → α) (i) : bfamilyOfFamily f (typein _ i) (typein_lt_type _ i) = f i := bfamilyOfFamily'_typein _ f i #align ordinal.bfamily_of_family_typein Ordinal.bfamilyOfFamily_typein @[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this theorem familyOfBFamily'_enum {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) (i hi) : familyOfBFamily' r ho f (enum r i (by rwa [ho])) = f i hi := by simp only [familyOfBFamily', typein_enum] #align ordinal.family_of_bfamily'_enum Ordinal.familyOfBFamily'_enum @[simp, nolint simpNF] -- Porting note (#10959): simp cannot prove this theorem familyOfBFamily_enum (o : Ordinal) (f : ∀ a < o, α) (i hi) : familyOfBFamily o f (enum (· < ·) i (by convert hi exact type_lt _)) = f i hi := familyOfBFamily'_enum _ (type_lt o) f _ _ #align ordinal.family_of_bfamily_enum Ordinal.familyOfBFamily_enum def brange (o : Ordinal) (f : ∀ a < o, α) : Set α := { a | ∃ i hi, f i hi = a } #align ordinal.brange Ordinal.brange theorem mem_brange {o : Ordinal} {f : ∀ a < o, α} {a} : a ∈ brange o f ↔ ∃ i hi, f i hi = a := Iff.rfl #align ordinal.mem_brange Ordinal.mem_brange theorem mem_brange_self {o} (f : ∀ a < o, α) (i hi) : f i hi ∈ brange o f := ⟨i, hi, rfl⟩ #align ordinal.mem_brange_self Ordinal.mem_brange_self @[simp] theorem range_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) : range (familyOfBFamily' r ho f) = brange o f := by refine Set.ext fun a => ⟨?_, ?_⟩ · rintro ⟨b, rfl⟩ apply mem_brange_self · rintro ⟨i, hi, rfl⟩ exact ⟨_, familyOfBFamily'_enum _ _ _ _ _⟩ #align ordinal.range_family_of_bfamily' Ordinal.range_familyOfBFamily' @[simp] theorem range_familyOfBFamily {o} (f : ∀ a < o, α) : range (familyOfBFamily o f) = brange o f := range_familyOfBFamily' _ _ f #align ordinal.range_family_of_bfamily Ordinal.range_familyOfBFamily @[simp] theorem brange_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) : brange _ (bfamilyOfFamily' r f) = range f := by refine Set.ext fun a => ⟨?_, ?_⟩ · rintro ⟨i, hi, rfl⟩ apply mem_range_self · rintro ⟨b, rfl⟩ exact ⟨_, _, bfamilyOfFamily'_typein _ _ _⟩ #align ordinal.brange_bfamily_of_family' Ordinal.brange_bfamilyOfFamily' @[simp] theorem brange_bfamilyOfFamily {ι : Type u} (f : ι → α) : brange _ (bfamilyOfFamily f) = range f := brange_bfamilyOfFamily' _ _ #align ordinal.brange_bfamily_of_family Ordinal.brange_bfamilyOfFamily @[simp] theorem brange_const {o : Ordinal} (ho : o ≠ 0) {c : α} : (brange o fun _ _ => c) = {c} := by rw [← range_familyOfBFamily] exact @Set.range_const _ o.out.α (out_nonempty_iff_ne_zero.2 ho) c #align ordinal.brange_const Ordinal.brange_const theorem comp_bfamilyOfFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] (f : ι → α) (g : α → β) : (fun i hi => g (bfamilyOfFamily' r f i hi)) = bfamilyOfFamily' r (g ∘ f) := rfl #align ordinal.comp_bfamily_of_family' Ordinal.comp_bfamilyOfFamily' theorem comp_bfamilyOfFamily {ι : Type u} (f : ι → α) (g : α → β) : (fun i hi => g (bfamilyOfFamily f i hi)) = bfamilyOfFamily (g ∘ f) := rfl #align ordinal.comp_bfamily_of_family Ordinal.comp_bfamilyOfFamily theorem comp_familyOfBFamily' {ι : Type u} (r : ι → ι → Prop) [IsWellOrder ι r] {o} (ho : type r = o) (f : ∀ a < o, α) (g : α → β) : g ∘ familyOfBFamily' r ho f = familyOfBFamily' r ho fun i hi => g (f i hi) := rfl #align ordinal.comp_family_of_bfamily' Ordinal.comp_familyOfBFamily' theorem comp_familyOfBFamily {o} (f : ∀ a < o, α) (g : α → β) : g ∘ familyOfBFamily o f = familyOfBFamily o fun i hi => g (f i hi) := rfl #align ordinal.comp_family_of_bfamily Ordinal.comp_familyOfBFamily -- Porting note: Universes should be specified in `sup`s. def sup {ι : Type u} (f : ι → Ordinal.{max u v}) : Ordinal.{max u v} := iSup f #align ordinal.sup Ordinal.sup @[simp] theorem sSup_eq_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : sSup (Set.range f) = sup.{_, v} f := rfl #align ordinal.Sup_eq_sup Ordinal.sSup_eq_sup theorem bddAbove_range {ι : Type u} (f : ι → Ordinal.{max u v}) : BddAbove (Set.range f) := ⟨(iSup (succ ∘ card ∘ f)).ord, by rintro a ⟨i, rfl⟩ exact le_of_lt (Cardinal.lt_ord.2 ((lt_succ _).trans_le (le_ciSup (Cardinal.bddAbove_range.{_, v} _) _)))⟩ #align ordinal.bdd_above_range Ordinal.bddAbove_range theorem le_sup {ι : Type u} (f : ι → Ordinal.{max u v}) : ∀ i, f i ≤ sup.{_, v} f := fun i => le_csSup (bddAbove_range.{_, v} f) (mem_range_self i) #align ordinal.le_sup Ordinal.le_sup theorem sup_le_iff {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : sup.{_, v} f ≤ a ↔ ∀ i, f i ≤ a := (csSup_le_iff' (bddAbove_range.{_, v} f)).trans (by simp) #align ordinal.sup_le_iff Ordinal.sup_le_iff theorem sup_le {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : (∀ i, f i ≤ a) → sup.{_, v} f ≤ a := sup_le_iff.2 #align ordinal.sup_le Ordinal.sup_le theorem lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} {a} : a < sup.{_, v} f ↔ ∃ i, a < f i := by simpa only [not_forall, not_le] using not_congr (@sup_le_iff.{_, v} _ f a) #align ordinal.lt_sup Ordinal.lt_sup theorem ne_sup_iff_lt_sup {ι : Type u} {f : ι → Ordinal.{max u v}} : (∀ i, f i ≠ sup.{_, v} f) ↔ ∀ i, f i < sup.{_, v} f := ⟨fun hf _ => lt_of_le_of_ne (le_sup _ _) (hf _), fun hf _ => ne_of_lt (hf _)⟩ #align ordinal.ne_sup_iff_lt_sup Ordinal.ne_sup_iff_lt_sup
Mathlib/SetTheory/Ordinal/Arithmetic.lean
1,280
1,284
theorem sup_not_succ_of_ne_sup {ι : Type u} {f : ι → Ordinal.{max u v}} (hf : ∀ i, f i ≠ sup.{_, v} f) {a} (hao : a < sup.{_, v} f) : succ a < sup.{_, v} f := by
by_contra! hoa exact hao.not_le (sup_le fun i => le_of_lt_succ <| (lt_of_le_of_ne (le_sup _ _) (hf i)).trans_le hoa)
import Mathlib.AlgebraicTopology.SplitSimplicialObject import Mathlib.AlgebraicTopology.DoldKan.Degeneracies import Mathlib.AlgebraicTopology.DoldKan.FunctorN #align_import algebraic_topology.dold_kan.split_simplicial_object from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Limits CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.Idempotents Opposite AlgebraicTopology AlgebraicTopology.DoldKan Simplicial DoldKan namespace SimplicialObject namespace Splitting variable {C : Type*} [Category C] {X : SimplicialObject C} (s : Splitting X) noncomputable def πSummand [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : X.obj Δ ⟶ s.N A.1.unop.len := s.desc Δ (fun B => by by_cases h : B = A · exact eqToHom (by subst h; rfl) · exact 0) #align simplicial_object.splitting.π_summand SimplicialObject.Splitting.πSummand @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_id [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ) : (s.cofan Δ).inj A ≫ s.πSummand A = 𝟙 _ := by simp [πSummand] #align simplicial_object.splitting.ι_π_summand_eq_id SimplicialObject.Splitting.cofan_inj_πSummand_eq_id @[reassoc (attr := simp)] theorem cofan_inj_πSummand_eq_zero [HasZeroMorphisms C] {Δ : SimplexCategoryᵒᵖ} (A B : IndexSet Δ) (h : B ≠ A) : (s.cofan Δ).inj A ≫ s.πSummand B = 0 := by dsimp [πSummand] rw [ι_desc, dif_neg h.symm] #align simplicial_object.splitting.ι_π_summand_eq_zero SimplicialObject.Splitting.cofan_inj_πSummand_eq_zero variable [Preadditive C] theorem decomposition_id (Δ : SimplexCategoryᵒᵖ) : 𝟙 (X.obj Δ) = ∑ A : IndexSet Δ, s.πSummand A ≫ (s.cofan Δ).inj A := by apply s.hom_ext' intro A dsimp erw [comp_id, comp_sum, Finset.sum_eq_single A, cofan_inj_πSummand_eq_id_assoc] · intro B _ h₂ rw [s.cofan_inj_πSummand_eq_zero_assoc _ _ h₂, zero_comp] · simp #align simplicial_object.splitting.decomposition_id SimplicialObject.Splitting.decomposition_id @[reassoc (attr := simp)] theorem σ_comp_πSummand_id_eq_zero {n : ℕ} (i : Fin (n + 1)) : X.σ i ≫ s.πSummand (IndexSet.id (op [n + 1])) = 0 := by apply s.hom_ext' intro A dsimp only [SimplicialObject.σ] rw [comp_zero, s.cofan_inj_epi_naturality_assoc A (SimplexCategory.σ i).op, cofan_inj_πSummand_eq_zero] rw [ne_comm] change ¬(A.epiComp (SimplexCategory.σ i).op).EqId rw [IndexSet.eqId_iff_len_eq] have h := SimplexCategory.len_le_of_epi (inferInstance : Epi A.e) dsimp at h ⊢ omega #align simplicial_object.splitting.σ_comp_π_summand_id_eq_zero SimplicialObject.Splitting.σ_comp_πSummand_id_eq_zero theorem cofan_inj_comp_PInfty_eq_zero {X : SimplicialObject C} (s : SimplicialObject.Splitting X) {n : ℕ} (A : SimplicialObject.Splitting.IndexSet (op [n])) (hA : ¬A.EqId) : (s.cofan _).inj A ≫ PInfty.f n = 0 := by rw [SimplicialObject.Splitting.IndexSet.eqId_iff_mono] at hA rw [SimplicialObject.Splitting.cofan_inj_eq, assoc, degeneracy_comp_PInfty X n A.e hA, comp_zero] set_option linter.uppercaseLean3 false in #align simplicial_object.splitting.ι_summand_comp_P_infty_eq_zero SimplicialObject.Splitting.cofan_inj_comp_PInfty_eq_zero theorem comp_PInfty_eq_zero_iff {Z : C} {n : ℕ} (f : Z ⟶ X _[n]) : f ≫ PInfty.f n = 0 ↔ f ≫ s.πSummand (IndexSet.id (op [n])) = 0 := by constructor · intro h rcases n with _|n · dsimp at h rw [comp_id] at h rw [h, zero_comp] · have h' := f ≫= PInfty_f_add_QInfty_f (n + 1) dsimp at h' rw [comp_id, comp_add, h, zero_add] at h' rw [← h', assoc, QInfty_f, decomposition_Q, Preadditive.sum_comp, Preadditive.comp_sum, Finset.sum_eq_zero] intro i _ simp only [assoc, σ_comp_πSummand_id_eq_zero, comp_zero] · intro h rw [← comp_id f, assoc, s.decomposition_id, Preadditive.sum_comp, Preadditive.comp_sum, Fintype.sum_eq_zero] intro A by_cases hA : A.EqId · dsimp at hA subst hA rw [assoc, reassoc_of% h, zero_comp] · simp only [assoc, s.cofan_inj_comp_PInfty_eq_zero A hA, comp_zero] set_option linter.uppercaseLean3 false in #align simplicial_object.splitting.comp_P_infty_eq_zero_iff SimplicialObject.Splitting.comp_PInfty_eq_zero_iff @[reassoc (attr := simp)]
Mathlib/AlgebraicTopology/DoldKan/SplitSimplicialObject.lean
127
132
theorem PInfty_comp_πSummand_id (n : ℕ) : PInfty.f n ≫ s.πSummand (IndexSet.id (op [n])) = s.πSummand (IndexSet.id (op [n])) := by
conv_rhs => rw [← id_comp (s.πSummand _)] symm rw [← sub_eq_zero, ← sub_comp, ← comp_PInfty_eq_zero_iff, sub_comp, id_comp, PInfty_f_idem, sub_self]
import Mathlib.Algebra.CharP.Invertible import Mathlib.Analysis.NormedSpace.Basic import Mathlib.Analysis.Normed.Group.AddTorsor import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace import Mathlib.Topology.Instances.RealVectorSpace #align_import analysis.normed_space.add_torsor from "leanprover-community/mathlib"@"837f72de63ad6cd96519cde5f1ffd5ed8d280ad0" noncomputable section open NNReal Topology open Filter variable {α V P W Q : Type*} [SeminormedAddCommGroup V] [PseudoMetricSpace P] [NormedAddTorsor V P] [NormedAddCommGroup W] [MetricSpace Q] [NormedAddTorsor W Q] section NormedSpace variable {𝕜 : Type*} [NormedField 𝕜] [NormedSpace 𝕜 V] [NormedSpace 𝕜 W] open AffineMap theorem AffineSubspace.isClosed_direction_iff (s : AffineSubspace 𝕜 Q) : IsClosed (s.direction : Set W) ↔ IsClosed (s : Set Q) := by rcases s.eq_bot_or_nonempty with (rfl | ⟨x, hx⟩); · simp [isClosed_singleton] rw [← (IsometryEquiv.vaddConst x).toHomeomorph.symm.isClosed_image, AffineSubspace.coe_direction_eq_vsub_set_right hx] rfl #align affine_subspace.is_closed_direction_iff AffineSubspace.isClosed_direction_iff @[simp] theorem dist_center_homothety (p₁ p₂ : P) (c : 𝕜) : dist p₁ (homothety p₁ c p₂) = ‖c‖ * dist p₁ p₂ := by simp [homothety_def, norm_smul, ← dist_eq_norm_vsub, dist_comm] #align dist_center_homothety dist_center_homothety @[simp] theorem nndist_center_homothety (p₁ p₂ : P) (c : 𝕜) : nndist p₁ (homothety p₁ c p₂) = ‖c‖₊ * nndist p₁ p₂ := NNReal.eq <| dist_center_homothety _ _ _ #align nndist_center_homothety nndist_center_homothety @[simp] theorem dist_homothety_center (p₁ p₂ : P) (c : 𝕜) : dist (homothety p₁ c p₂) p₁ = ‖c‖ * dist p₁ p₂ := by rw [dist_comm, dist_center_homothety] #align dist_homothety_center dist_homothety_center @[simp] theorem nndist_homothety_center (p₁ p₂ : P) (c : 𝕜) : nndist (homothety p₁ c p₂) p₁ = ‖c‖₊ * nndist p₁ p₂ := NNReal.eq <| dist_homothety_center _ _ _ #align nndist_homothety_center nndist_homothety_center @[simp] theorem dist_lineMap_lineMap (p₁ p₂ : P) (c₁ c₂ : 𝕜) : dist (lineMap p₁ p₂ c₁) (lineMap p₁ p₂ c₂) = dist c₁ c₂ * dist p₁ p₂ := by rw [dist_comm p₁ p₂] simp only [lineMap_apply, dist_eq_norm_vsub, vadd_vsub_vadd_cancel_right, ← sub_smul, norm_smul, vsub_eq_sub] #align dist_line_map_line_map dist_lineMap_lineMap @[simp] theorem nndist_lineMap_lineMap (p₁ p₂ : P) (c₁ c₂ : 𝕜) : nndist (lineMap p₁ p₂ c₁) (lineMap p₁ p₂ c₂) = nndist c₁ c₂ * nndist p₁ p₂ := NNReal.eq <| dist_lineMap_lineMap _ _ _ _ #align nndist_line_map_line_map nndist_lineMap_lineMap theorem lipschitzWith_lineMap (p₁ p₂ : P) : LipschitzWith (nndist p₁ p₂) (lineMap p₁ p₂ : 𝕜 → P) := LipschitzWith.of_dist_le_mul fun c₁ c₂ => ((dist_lineMap_lineMap p₁ p₂ c₁ c₂).trans (mul_comm _ _)).le #align lipschitz_with_line_map lipschitzWith_lineMap @[simp] theorem dist_lineMap_left (p₁ p₂ : P) (c : 𝕜) : dist (lineMap p₁ p₂ c) p₁ = ‖c‖ * dist p₁ p₂ := by simpa only [lineMap_apply_zero, dist_zero_right] using dist_lineMap_lineMap p₁ p₂ c 0 #align dist_line_map_left dist_lineMap_left @[simp] theorem nndist_lineMap_left (p₁ p₂ : P) (c : 𝕜) : nndist (lineMap p₁ p₂ c) p₁ = ‖c‖₊ * nndist p₁ p₂ := NNReal.eq <| dist_lineMap_left _ _ _ #align nndist_line_map_left nndist_lineMap_left @[simp] theorem dist_left_lineMap (p₁ p₂ : P) (c : 𝕜) : dist p₁ (lineMap p₁ p₂ c) = ‖c‖ * dist p₁ p₂ := (dist_comm _ _).trans (dist_lineMap_left _ _ _) #align dist_left_line_map dist_left_lineMap @[simp] theorem nndist_left_lineMap (p₁ p₂ : P) (c : 𝕜) : nndist p₁ (lineMap p₁ p₂ c) = ‖c‖₊ * nndist p₁ p₂ := NNReal.eq <| dist_left_lineMap _ _ _ #align nndist_left_line_map nndist_left_lineMap @[simp] theorem dist_lineMap_right (p₁ p₂ : P) (c : 𝕜) : dist (lineMap p₁ p₂ c) p₂ = ‖1 - c‖ * dist p₁ p₂ := by simpa only [lineMap_apply_one, dist_eq_norm'] using dist_lineMap_lineMap p₁ p₂ c 1 #align dist_line_map_right dist_lineMap_right @[simp] theorem nndist_lineMap_right (p₁ p₂ : P) (c : 𝕜) : nndist (lineMap p₁ p₂ c) p₂ = ‖1 - c‖₊ * nndist p₁ p₂ := NNReal.eq <| dist_lineMap_right _ _ _ #align nndist_line_map_right nndist_lineMap_right @[simp] theorem dist_right_lineMap (p₁ p₂ : P) (c : 𝕜) : dist p₂ (lineMap p₁ p₂ c) = ‖1 - c‖ * dist p₁ p₂ := (dist_comm _ _).trans (dist_lineMap_right _ _ _) #align dist_right_line_map dist_right_lineMap @[simp] theorem nndist_right_lineMap (p₁ p₂ : P) (c : 𝕜) : nndist p₂ (lineMap p₁ p₂ c) = ‖1 - c‖₊ * nndist p₁ p₂ := NNReal.eq <| dist_right_lineMap _ _ _ #align nndist_right_line_map nndist_right_lineMap @[simp]
Mathlib/Analysis/NormedSpace/AddTorsor.lean
132
134
theorem dist_homothety_self (p₁ p₂ : P) (c : 𝕜) : dist (homothety p₁ c p₂) p₂ = ‖1 - c‖ * dist p₁ p₂ := by
rw [homothety_eq_lineMap, dist_lineMap_right]
import Mathlib.Algebra.Associated import Mathlib.NumberTheory.Divisors #align_import algebra.is_prime_pow from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c" variable {R : Type*} [CommMonoidWithZero R] (n p : R) (k : ℕ) def IsPrimePow : Prop := ∃ (p : R) (k : ℕ), Prime p ∧ 0 < k ∧ p ^ k = n #align is_prime_pow IsPrimePow theorem isPrimePow_def : IsPrimePow n ↔ ∃ (p : R) (k : ℕ), Prime p ∧ 0 < k ∧ p ^ k = n := Iff.rfl #align is_prime_pow_def isPrimePow_def theorem isPrimePow_iff_pow_succ : IsPrimePow n ↔ ∃ (p : R) (k : ℕ), Prime p ∧ p ^ (k + 1) = n := (isPrimePow_def _).trans ⟨fun ⟨p, k, hp, hk, hn⟩ => ⟨_, _, hp, by rwa [Nat.sub_add_cancel hk]⟩, fun ⟨p, k, hp, hn⟩ => ⟨_, _, hp, Nat.succ_pos', hn⟩⟩ #align is_prime_pow_iff_pow_succ isPrimePow_iff_pow_succ
Mathlib/Algebra/IsPrimePow.lean
38
42
theorem not_isPrimePow_zero [NoZeroDivisors R] : ¬IsPrimePow (0 : R) := by
simp only [isPrimePow_def, not_exists, not_and', and_imp] intro x n _hn hx rw [pow_eq_zero hx] simp
import Mathlib.FieldTheory.Perfect #align_import field_theory.perfect_closure from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a" universe u v open Function section variable (K : Type u) [CommRing K] (p : ℕ) [Fact p.Prime] [CharP K p] @[mk_iff] inductive PerfectClosure.R : ℕ × K → ℕ × K → Prop | intro : ∀ n x, PerfectClosure.R (n, x) (n + 1, frobenius K p x) #align perfect_closure.r PerfectClosure.R def PerfectClosure : Type u := Quot (PerfectClosure.R K p) #align perfect_closure PerfectClosure end namespace PerfectClosure variable (K : Type u) section Ring variable [CommRing K] (p : ℕ) [Fact p.Prime] [CharP K p] def mk (x : ℕ × K) : PerfectClosure K p := Quot.mk (R K p) x #align perfect_closure.mk PerfectClosure.mk theorem mk_surjective : Function.Surjective (mk K p) := surjective_quot_mk _ @[simp] theorem mk_succ_pow (m : ℕ) (x : K) : mk K p ⟨m + 1, x ^ p⟩ = mk K p ⟨m, x⟩ := Eq.symm <| Quot.sound (R.intro m x) @[simp] theorem quot_mk_eq_mk (x : ℕ × K) : (Quot.mk (R K p) x : PerfectClosure K p) = mk K p x := rfl #align perfect_closure.quot_mk_eq_mk PerfectClosure.quot_mk_eq_mk variable {K p} -- Porting note: removed `@[elab_as_elim]` for "unexpected eliminator resulting type L" def liftOn {L : Type*} (x : PerfectClosure K p) (f : ℕ × K → L) (hf : ∀ x y, R K p x y → f x = f y) : L := Quot.liftOn x f hf #align perfect_closure.lift_on PerfectClosure.liftOn @[simp] theorem liftOn_mk {L : Sort _} (f : ℕ × K → L) (hf : ∀ x y, R K p x y → f x = f y) (x : ℕ × K) : (mk K p x).liftOn f hf = f x := rfl #align perfect_closure.lift_on_mk PerfectClosure.liftOn_mk @[elab_as_elim] theorem induction_on (x : PerfectClosure K p) {q : PerfectClosure K p → Prop} (h : ∀ x, q (mk K p x)) : q x := Quot.inductionOn x h #align perfect_closure.induction_on PerfectClosure.induction_on variable (K p) private theorem mul_aux_left (x1 x2 y : ℕ × K) (H : R K p x1 x2) : mk K p (x1.1 + y.1, (frobenius K p)^[y.1] x1.2 * (frobenius K p)^[x1.1] y.2) = mk K p (x2.1 + y.1, (frobenius K p)^[y.1] x2.2 * (frobenius K p)^[x2.1] y.2) := match x1, x2, H with | _, _, R.intro n x => Quot.sound <| by rw [← iterate_succ_apply, iterate_succ_apply', iterate_succ_apply', ← frobenius_mul, Nat.succ_add] apply R.intro private theorem mul_aux_right (x y1 y2 : ℕ × K) (H : R K p y1 y2) : mk K p (x.1 + y1.1, (frobenius K p)^[y1.1] x.2 * (frobenius K p)^[x.1] y1.2) = mk K p (x.1 + y2.1, (frobenius K p)^[y2.1] x.2 * (frobenius K p)^[x.1] y2.2) := match y1, y2, H with | _, _, R.intro n y => Quot.sound <| by rw [← iterate_succ_apply, iterate_succ_apply', iterate_succ_apply', ← frobenius_mul] apply R.intro instance instMul : Mul (PerfectClosure K p) := ⟨Quot.lift (fun x : ℕ × K => Quot.lift (fun y : ℕ × K => mk K p (x.1 + y.1, (frobenius K p)^[y.1] x.2 * (frobenius K p)^[x.1] y.2)) (mul_aux_right K p x)) fun x1 x2 (H : R K p x1 x2) => funext fun e => Quot.inductionOn e fun y => mul_aux_left K p x1 x2 y H⟩ @[simp] theorem mk_mul_mk (x y : ℕ × K) : mk K p x * mk K p y = mk K p (x.1 + y.1, (frobenius K p)^[y.1] x.2 * (frobenius K p)^[x.1] y.2) := rfl #align perfect_closure.mk_mul_mk PerfectClosure.mk_mul_mk instance instCommMonoid : CommMonoid (PerfectClosure K p) := { (inferInstance : Mul (PerfectClosure K p)) with mul_assoc := fun e f g => Quot.inductionOn e fun ⟨m, x⟩ => Quot.inductionOn f fun ⟨n, y⟩ => Quot.inductionOn g fun ⟨s, z⟩ => by simp only [quot_mk_eq_mk, mk_mul_mk] -- Porting note: added this line apply congr_arg (Quot.mk _) simp only [add_assoc, mul_assoc, iterate_map_mul, ← iterate_add_apply, add_comm, add_left_comm] one := mk K p (0, 1) one_mul := fun e => Quot.inductionOn e fun ⟨n, x⟩ => congr_arg (Quot.mk _) <| by simp only [iterate_map_one, iterate_zero_apply, one_mul, zero_add] mul_one := fun e => Quot.inductionOn e fun ⟨n, x⟩ => congr_arg (Quot.mk _) <| by simp only [iterate_map_one, iterate_zero_apply, mul_one, add_zero] mul_comm := fun e f => Quot.inductionOn e fun ⟨m, x⟩ => Quot.inductionOn f fun ⟨n, y⟩ => congr_arg (Quot.mk _) <| by simp only [add_comm, mul_comm] } theorem one_def : (1 : PerfectClosure K p) = mk K p (0, 1) := rfl #align perfect_closure.one_def PerfectClosure.one_def instance instInhabited : Inhabited (PerfectClosure K p) := ⟨1⟩ private theorem add_aux_left (x1 x2 y : ℕ × K) (H : R K p x1 x2) : mk K p (x1.1 + y.1, (frobenius K p)^[y.1] x1.2 + (frobenius K p)^[x1.1] y.2) = mk K p (x2.1 + y.1, (frobenius K p)^[y.1] x2.2 + (frobenius K p)^[x2.1] y.2) := match x1, x2, H with | _, _, R.intro n x => Quot.sound <| by rw [← iterate_succ_apply, iterate_succ_apply', iterate_succ_apply', ← frobenius_add, Nat.succ_add] apply R.intro private theorem add_aux_right (x y1 y2 : ℕ × K) (H : R K p y1 y2) : mk K p (x.1 + y1.1, (frobenius K p)^[y1.1] x.2 + (frobenius K p)^[x.1] y1.2) = mk K p (x.1 + y2.1, (frobenius K p)^[y2.1] x.2 + (frobenius K p)^[x.1] y2.2) := match y1, y2, H with | _, _, R.intro n y => Quot.sound <| by rw [← iterate_succ_apply, iterate_succ_apply', iterate_succ_apply', ← frobenius_add] apply R.intro instance instAdd : Add (PerfectClosure K p) := ⟨Quot.lift (fun x : ℕ × K => Quot.lift (fun y : ℕ × K => mk K p (x.1 + y.1, (frobenius K p)^[y.1] x.2 + (frobenius K p)^[x.1] y.2)) (add_aux_right K p x)) fun x1 x2 (H : R K p x1 x2) => funext fun e => Quot.inductionOn e fun y => add_aux_left K p x1 x2 y H⟩ @[simp] theorem mk_add_mk (x y : ℕ × K) : mk K p x + mk K p y = mk K p (x.1 + y.1, (frobenius K p)^[y.1] x.2 + (frobenius K p)^[x.1] y.2) := rfl #align perfect_closure.mk_add_mk PerfectClosure.mk_add_mk instance instNeg : Neg (PerfectClosure K p) := ⟨Quot.lift (fun x : ℕ × K => mk K p (x.1, -x.2)) fun x y (H : R K p x y) => match x, y, H with | _, _, R.intro n x => Quot.sound <| by rw [← frobenius_neg]; apply R.intro⟩ @[simp] theorem neg_mk (x : ℕ × K) : -mk K p x = mk K p (x.1, -x.2) := rfl #align perfect_closure.neg_mk PerfectClosure.neg_mk instance instZero : Zero (PerfectClosure K p) := ⟨mk K p (0, 0)⟩ theorem zero_def : (0 : PerfectClosure K p) = mk K p (0, 0) := rfl #align perfect_closure.zero_def PerfectClosure.zero_def @[simp] theorem mk_zero_zero : mk K p (0, 0) = 0 := rfl #align perfect_closure.mk_zero_zero PerfectClosure.mk_zero_zero -- Porting note: improved proof structure theorem mk_zero (n : ℕ) : mk K p (n, 0) = 0 := by induction' n with n ih · rfl rw [← ih] symm apply Quot.sound have := R.intro (p := p) n (0 : K) rwa [frobenius_zero K p] at this #align perfect_closure.mk_zero PerfectClosure.mk_zero -- Porting note: improved proof structure
Mathlib/FieldTheory/PerfectClosure.lean
258
265
theorem R.sound (m n : ℕ) (x y : K) (H : (frobenius K p)^[m] x = y) : mk K p (n, x) = mk K p (m + n, y) := by
subst H induction' m with m ih · simp only [Nat.zero_eq, zero_add, iterate_zero_apply] rw [ih, Nat.succ_add, iterate_succ'] apply Quot.sound apply R.intro
import Mathlib.Topology.Sets.Opens #align_import topology.local_at_target from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open TopologicalSpace Set Filter open Topology Filter variable {α β : Type*} [TopologicalSpace α] [TopologicalSpace β] {f : α → β} variable {s : Set β} {ι : Type*} {U : ι → Opens β} (hU : iSup U = ⊤)
Mathlib/Topology/LocalAtTarget.lean
29
34
theorem Set.restrictPreimage_inducing (s : Set β) (h : Inducing f) : Inducing (s.restrictPreimage f) := by
simp_rw [← inducing_subtype_val.of_comp_iff, inducing_iff_nhds, restrictPreimage, MapsTo.coe_restrict, restrict_eq, ← @Filter.comap_comap _ _ _ _ _ f, Function.comp_apply] at h ⊢ intro a rw [← h, ← inducing_subtype_val.nhds_eq_comap]
import Mathlib.Analysis.Complex.UpperHalfPlane.Basic import Mathlib.LinearAlgebra.GeneralLinearGroup import Mathlib.LinearAlgebra.Matrix.GeneralLinearGroup import Mathlib.Topology.Instances.Matrix import Mathlib.Topology.Algebra.Module.FiniteDimension #align_import number_theory.modular from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Complex hiding abs_two open Matrix hiding mul_smul open Matrix.SpecialLinearGroup UpperHalfPlane ModularGroup noncomputable section local notation "SL(" n ", " R ")" => SpecialLinearGroup (Fin n) R local macro "↑ₘ" t:term:80 : term => `(term| ($t : Matrix (Fin 2) (Fin 2) ℤ)) open scoped UpperHalfPlane ComplexConjugate namespace ModularGroup variable {g : SL(2, ℤ)} (z : ℍ) section TendstoLemmas open Filter ContinuousLinearMap attribute [local simp] ContinuousLinearMap.coe_smul theorem tendsto_normSq_coprime_pair : Filter.Tendsto (fun p : Fin 2 → ℤ => normSq ((p 0 : ℂ) * z + p 1)) cofinite atTop := by -- using this instance rather than the automatic `Function.module` makes unification issues in -- `LinearEquiv.closedEmbedding_of_injective` less bad later in the proof. letI : Module ℝ (Fin 2 → ℝ) := NormedSpace.toModule let π₀ : (Fin 2 → ℝ) →ₗ[ℝ] ℝ := LinearMap.proj 0 let π₁ : (Fin 2 → ℝ) →ₗ[ℝ] ℝ := LinearMap.proj 1 let f : (Fin 2 → ℝ) →ₗ[ℝ] ℂ := π₀.smulRight (z : ℂ) + π₁.smulRight 1 have f_def : ⇑f = fun p : Fin 2 → ℝ => (p 0 : ℂ) * ↑z + p 1 := by ext1 dsimp only [π₀, π₁, f, LinearMap.coe_proj, real_smul, LinearMap.coe_smulRight, LinearMap.add_apply] rw [mul_one] have : (fun p : Fin 2 → ℤ => normSq ((p 0 : ℂ) * ↑z + ↑(p 1))) = normSq ∘ f ∘ fun p : Fin 2 → ℤ => ((↑) : ℤ → ℝ) ∘ p := by ext1 rw [f_def] dsimp only [Function.comp_def] rw [ofReal_intCast, ofReal_intCast] rw [this] have hf : LinearMap.ker f = ⊥ := by let g : ℂ →ₗ[ℝ] Fin 2 → ℝ := LinearMap.pi ![imLm, imLm.comp ((z : ℂ) • ((conjAe : ℂ →ₐ[ℝ] ℂ) : ℂ →ₗ[ℝ] ℂ))] suffices ((z : ℂ).im⁻¹ • g).comp f = LinearMap.id by exact LinearMap.ker_eq_bot_of_inverse this apply LinearMap.ext intro c have hz : (z : ℂ).im ≠ 0 := z.2.ne' rw [LinearMap.comp_apply, LinearMap.smul_apply, LinearMap.id_apply] ext i dsimp only [Pi.smul_apply, LinearMap.pi_apply, smul_eq_mul] fin_cases i · show (z : ℂ).im⁻¹ * (f c).im = c 0 rw [f_def, add_im, im_ofReal_mul, ofReal_im, add_zero, mul_left_comm, inv_mul_cancel hz, mul_one] · show (z : ℂ).im⁻¹ * ((z : ℂ) * conj (f c)).im = c 1 rw [f_def, RingHom.map_add, RingHom.map_mul, mul_add, mul_left_comm, mul_conj, conj_ofReal, conj_ofReal, ← ofReal_mul, add_im, ofReal_im, zero_add, inv_mul_eq_iff_eq_mul₀ hz] simp only [ofReal_im, ofReal_re, mul_im, zero_add, mul_zero] have hf' : ClosedEmbedding f := f.closedEmbedding_of_injective hf have h₂ : Tendsto (fun p : Fin 2 → ℤ => ((↑) : ℤ → ℝ) ∘ p) cofinite (cocompact _) := by convert Tendsto.pi_map_coprodᵢ fun _ => Int.tendsto_coe_cofinite · rw [coprodᵢ_cofinite] · rw [coprodᵢ_cocompact] exact tendsto_normSq_cocompact_atTop.comp (hf'.tendsto_cocompact.comp h₂) #align modular_group.tendsto_norm_sq_coprime_pair ModularGroup.tendsto_normSq_coprime_pair def lcRow0 (p : Fin 2 → ℤ) : Matrix (Fin 2) (Fin 2) ℝ →ₗ[ℝ] ℝ := ((p 0 : ℝ) • LinearMap.proj (0 : Fin 2) + (p 1 : ℝ) • LinearMap.proj (1 : Fin 2) : (Fin 2 → ℝ) →ₗ[ℝ] ℝ).comp (LinearMap.proj 0) #align modular_group.lc_row0 ModularGroup.lcRow0 @[simp] theorem lcRow0_apply (p : Fin 2 → ℤ) (g : Matrix (Fin 2) (Fin 2) ℝ) : lcRow0 p g = p 0 * g 0 0 + p 1 * g 0 1 := rfl #align modular_group.lc_row0_apply ModularGroup.lcRow0_apply @[simps!] def lcRow0Extend {cd : Fin 2 → ℤ} (hcd : IsCoprime (cd 0) (cd 1)) : Matrix (Fin 2) (Fin 2) ℝ ≃ₗ[ℝ] Matrix (Fin 2) (Fin 2) ℝ := LinearEquiv.piCongrRight ![by refine LinearMap.GeneralLinearGroup.generalLinearEquiv ℝ (Fin 2 → ℝ) (GeneralLinearGroup.toLinear (planeConformalMatrix (cd 0 : ℝ) (-(cd 1 : ℝ)) ?_)) norm_cast rw [neg_sq] exact hcd.sq_add_sq_ne_zero, LinearEquiv.refl ℝ (Fin 2 → ℝ)] #align modular_group.lc_row0_extend ModularGroup.lcRow0Extend -- `simpNF` times out, but only in CI where all of `Mathlib` is imported attribute [nolint simpNF] lcRow0Extend_apply lcRow0Extend_symm_apply theorem tendsto_lcRow0 {cd : Fin 2 → ℤ} (hcd : IsCoprime (cd 0) (cd 1)) : Tendsto (fun g : { g : SL(2, ℤ) // (↑ₘg) 1 = cd } => lcRow0 cd ↑(↑g : SL(2, ℝ))) cofinite (cocompact ℝ) := by let mB : ℝ → Matrix (Fin 2) (Fin 2) ℝ := fun t => of ![![t, (-(1 : ℤ) : ℝ)], (↑) ∘ cd] have hmB : Continuous mB := by refine continuous_matrix ?_ simp only [mB, Fin.forall_fin_two, continuous_const, continuous_id', of_apply, cons_val_zero, cons_val_one, and_self_iff] refine Filter.Tendsto.of_tendsto_comp ?_ (comap_cocompact_le hmB) let f₁ : SL(2, ℤ) → Matrix (Fin 2) (Fin 2) ℝ := fun g => Matrix.map (↑g : Matrix _ _ ℤ) ((↑) : ℤ → ℝ) have cocompact_ℝ_to_cofinite_ℤ_matrix : Tendsto (fun m : Matrix (Fin 2) (Fin 2) ℤ => Matrix.map m ((↑) : ℤ → ℝ)) cofinite (cocompact _) := by simpa only [coprodᵢ_cofinite, coprodᵢ_cocompact] using Tendsto.pi_map_coprodᵢ fun _ : Fin 2 => Tendsto.pi_map_coprodᵢ fun _ : Fin 2 => Int.tendsto_coe_cofinite have hf₁ : Tendsto f₁ cofinite (cocompact _) := cocompact_ℝ_to_cofinite_ℤ_matrix.comp Subtype.coe_injective.tendsto_cofinite have hf₂ : ClosedEmbedding (lcRow0Extend hcd) := (lcRow0Extend hcd).toContinuousLinearEquiv.toHomeomorph.closedEmbedding convert hf₂.tendsto_cocompact.comp (hf₁.comp Subtype.coe_injective.tendsto_cofinite) using 1 ext ⟨g, rfl⟩ i j : 3 fin_cases i <;> [fin_cases j; skip] -- the following are proved by `simp`, but it is replaced by `simp only` to avoid timeouts. · simp only [mB, mulVec, dotProduct, Fin.sum_univ_two, coe_matrix_coe, Int.coe_castRingHom, lcRow0_apply, Function.comp_apply, cons_val_zero, lcRow0Extend_apply, LinearMap.GeneralLinearGroup.coeFn_generalLinearEquiv, GeneralLinearGroup.coe_toLinear, val_planeConformalMatrix, neg_neg, mulVecLin_apply, cons_val_one, head_cons, of_apply, Fin.mk_zero, Fin.mk_one] · convert congr_arg (fun n : ℤ => (-n : ℝ)) g.det_coe.symm using 1 simp only [f₁, mulVec, dotProduct, Fin.sum_univ_two, Matrix.det_fin_two, Function.comp_apply, Subtype.coe_mk, lcRow0Extend_apply, cons_val_zero, LinearMap.GeneralLinearGroup.coeFn_generalLinearEquiv, GeneralLinearGroup.coe_toLinear, val_planeConformalMatrix, mulVecLin_apply, cons_val_one, head_cons, map_apply, neg_mul, Int.cast_sub, Int.cast_mul, neg_sub, of_apply, Fin.mk_zero, Fin.mk_one] ring · rfl #align modular_group.tendsto_lc_row0 ModularGroup.tendsto_lcRow0
Mathlib/NumberTheory/Modular.lean
242
255
theorem smul_eq_lcRow0_add {p : Fin 2 → ℤ} (hp : IsCoprime (p 0) (p 1)) (hg : (↑ₘg) 1 = p) : ↑(g • z) = (lcRow0 p ↑(g : SL(2, ℝ)) : ℂ) / ((p 0 : ℂ) ^ 2 + (p 1 : ℂ) ^ 2) + ((p 1 : ℂ) * z - p 0) / (((p 0 : ℂ) ^ 2 + (p 1 : ℂ) ^ 2) * (p 0 * z + p 1)) := by
have nonZ1 : (p 0 : ℂ) ^ 2 + (p 1 : ℂ) ^ 2 ≠ 0 := mod_cast hp.sq_add_sq_ne_zero have : ((↑) : ℤ → ℝ) ∘ p ≠ 0 := fun h => hp.ne_zero (by ext i; simpa using congr_fun h i) have nonZ2 : (p 0 : ℂ) * z + p 1 ≠ 0 := by simpa using linear_ne_zero _ z this field_simp [nonZ1, nonZ2, denom_ne_zero, num] rw [(by simp : (p 1 : ℂ) * z - p 0 = (p 1 * z - p 0) * ↑(Matrix.det (↑g : Matrix (Fin 2) (Fin 2) ℤ)))] rw [← hg, det_fin_two] simp only [Int.coe_castRingHom, coe_matrix_coe, Int.cast_mul, ofReal_intCast, map_apply, denom, Int.cast_sub, coe_GLPos_coe_GL_coe_matrix, coe'_apply_complex] ring
import Mathlib.Algebra.GroupWithZero.Indicator import Mathlib.Topology.ContinuousOn import Mathlib.Topology.Instances.ENNReal #align_import topology.semicontinuous from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal open Set Function Filter variable {α : Type*} [TopologicalSpace α] {β : Type*} [Preorder β] {f g : α → β} {x : α} {s t : Set α} {y z : β} def LowerSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝[s] x, y < f x' #align lower_semicontinuous_within_at LowerSemicontinuousWithinAt def LowerSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, LowerSemicontinuousWithinAt f s x #align lower_semicontinuous_on LowerSemicontinuousOn def LowerSemicontinuousAt (f : α → β) (x : α) := ∀ y < f x, ∀ᶠ x' in 𝓝 x, y < f x' #align lower_semicontinuous_at LowerSemicontinuousAt def LowerSemicontinuous (f : α → β) := ∀ x, LowerSemicontinuousAt f x #align lower_semicontinuous LowerSemicontinuous def UpperSemicontinuousWithinAt (f : α → β) (s : Set α) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝[s] x, f x' < y #align upper_semicontinuous_within_at UpperSemicontinuousWithinAt def UpperSemicontinuousOn (f : α → β) (s : Set α) := ∀ x ∈ s, UpperSemicontinuousWithinAt f s x #align upper_semicontinuous_on UpperSemicontinuousOn def UpperSemicontinuousAt (f : α → β) (x : α) := ∀ y, f x < y → ∀ᶠ x' in 𝓝 x, f x' < y #align upper_semicontinuous_at UpperSemicontinuousAt def UpperSemicontinuous (f : α → β) := ∀ x, UpperSemicontinuousAt f x #align upper_semicontinuous UpperSemicontinuous theorem LowerSemicontinuousWithinAt.mono (h : LowerSemicontinuousWithinAt f s x) (hst : t ⊆ s) : LowerSemicontinuousWithinAt f t x := fun y hy => Filter.Eventually.filter_mono (nhdsWithin_mono _ hst) (h y hy) #align lower_semicontinuous_within_at.mono LowerSemicontinuousWithinAt.mono theorem lowerSemicontinuousWithinAt_univ_iff : LowerSemicontinuousWithinAt f univ x ↔ LowerSemicontinuousAt f x := by simp [LowerSemicontinuousWithinAt, LowerSemicontinuousAt, nhdsWithin_univ] #align lower_semicontinuous_within_at_univ_iff lowerSemicontinuousWithinAt_univ_iff theorem LowerSemicontinuousAt.lowerSemicontinuousWithinAt (s : Set α) (h : LowerSemicontinuousAt f x) : LowerSemicontinuousWithinAt f s x := fun y hy => Filter.Eventually.filter_mono nhdsWithin_le_nhds (h y hy) #align lower_semicontinuous_at.lower_semicontinuous_within_at LowerSemicontinuousAt.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.lowerSemicontinuousWithinAt (h : LowerSemicontinuousOn f s) (hx : x ∈ s) : LowerSemicontinuousWithinAt f s x := h x hx #align lower_semicontinuous_on.lower_semicontinuous_within_at LowerSemicontinuousOn.lowerSemicontinuousWithinAt theorem LowerSemicontinuousOn.mono (h : LowerSemicontinuousOn f s) (hst : t ⊆ s) : LowerSemicontinuousOn f t := fun x hx => (h x (hst hx)).mono hst #align lower_semicontinuous_on.mono LowerSemicontinuousOn.mono theorem lowerSemicontinuousOn_univ_iff : LowerSemicontinuousOn f univ ↔ LowerSemicontinuous f := by simp [LowerSemicontinuousOn, LowerSemicontinuous, lowerSemicontinuousWithinAt_univ_iff] #align lower_semicontinuous_on_univ_iff lowerSemicontinuousOn_univ_iff theorem LowerSemicontinuous.lowerSemicontinuousAt (h : LowerSemicontinuous f) (x : α) : LowerSemicontinuousAt f x := h x #align lower_semicontinuous.lower_semicontinuous_at LowerSemicontinuous.lowerSemicontinuousAt theorem LowerSemicontinuous.lowerSemicontinuousWithinAt (h : LowerSemicontinuous f) (s : Set α) (x : α) : LowerSemicontinuousWithinAt f s x := (h x).lowerSemicontinuousWithinAt s #align lower_semicontinuous.lower_semicontinuous_within_at LowerSemicontinuous.lowerSemicontinuousWithinAt theorem LowerSemicontinuous.lowerSemicontinuousOn (h : LowerSemicontinuous f) (s : Set α) : LowerSemicontinuousOn f s := fun x _hx => h.lowerSemicontinuousWithinAt s x #align lower_semicontinuous.lower_semicontinuous_on LowerSemicontinuous.lowerSemicontinuousOn theorem lowerSemicontinuousWithinAt_const : LowerSemicontinuousWithinAt (fun _x => z) s x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_within_at_const lowerSemicontinuousWithinAt_const theorem lowerSemicontinuousAt_const : LowerSemicontinuousAt (fun _x => z) x := fun _y hy => Filter.eventually_of_forall fun _x => hy #align lower_semicontinuous_at_const lowerSemicontinuousAt_const theorem lowerSemicontinuousOn_const : LowerSemicontinuousOn (fun _x => z) s := fun _x _hx => lowerSemicontinuousWithinAt_const #align lower_semicontinuous_on_const lowerSemicontinuousOn_const theorem lowerSemicontinuous_const : LowerSemicontinuous fun _x : α => z := fun _x => lowerSemicontinuousAt_const #align lower_semicontinuous_const lowerSemicontinuous_const section variable [Zero β] theorem IsOpen.lowerSemicontinuous_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuous (indicator s fun _x => y) := by intro x z hz by_cases h : x ∈ s <;> simp [h] at hz · filter_upwards [hs.mem_nhds h] simp (config := { contextual := true }) [hz] · refine Filter.eventually_of_forall fun x' => ?_ by_cases h' : x' ∈ s <;> simp [h', hz.trans_le hy, hz] #align is_open.lower_semicontinuous_indicator IsOpen.lowerSemicontinuous_indicator theorem IsOpen.lowerSemicontinuousOn_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousOn (indicator s fun _x => y) t := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t #align is_open.lower_semicontinuous_on_indicator IsOpen.lowerSemicontinuousOn_indicator theorem IsOpen.lowerSemicontinuousAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousAt (indicator s fun _x => y) x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x #align is_open.lower_semicontinuous_at_indicator IsOpen.lowerSemicontinuousAt_indicator theorem IsOpen.lowerSemicontinuousWithinAt_indicator (hs : IsOpen s) (hy : 0 ≤ y) : LowerSemicontinuousWithinAt (indicator s fun _x => y) t x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x #align is_open.lower_semicontinuous_within_at_indicator IsOpen.lowerSemicontinuousWithinAt_indicator theorem IsClosed.lowerSemicontinuous_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuous (indicator s fun _x => y) := by intro x z hz by_cases h : x ∈ s <;> simp [h] at hz · refine Filter.eventually_of_forall fun x' => ?_ by_cases h' : x' ∈ s <;> simp [h', hz, hz.trans_le hy] · filter_upwards [hs.isOpen_compl.mem_nhds h] simp (config := { contextual := true }) [hz] #align is_closed.lower_semicontinuous_indicator IsClosed.lowerSemicontinuous_indicator theorem IsClosed.lowerSemicontinuousOn_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousOn (indicator s fun _x => y) t := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousOn t #align is_closed.lower_semicontinuous_on_indicator IsClosed.lowerSemicontinuousOn_indicator theorem IsClosed.lowerSemicontinuousAt_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousAt (indicator s fun _x => y) x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousAt x #align is_closed.lower_semicontinuous_at_indicator IsClosed.lowerSemicontinuousAt_indicator theorem IsClosed.lowerSemicontinuousWithinAt_indicator (hs : IsClosed s) (hy : y ≤ 0) : LowerSemicontinuousWithinAt (indicator s fun _x => y) t x := (hs.lowerSemicontinuous_indicator hy).lowerSemicontinuousWithinAt t x #align is_closed.lower_semicontinuous_within_at_indicator IsClosed.lowerSemicontinuousWithinAt_indicator end theorem lowerSemicontinuous_iff_isOpen_preimage : LowerSemicontinuous f ↔ ∀ y, IsOpen (f ⁻¹' Ioi y) := ⟨fun H y => isOpen_iff_mem_nhds.2 fun x hx => H x y hx, fun H _x y y_lt => IsOpen.mem_nhds (H y) y_lt⟩ #align lower_semicontinuous_iff_is_open_preimage lowerSemicontinuous_iff_isOpen_preimage theorem LowerSemicontinuous.isOpen_preimage (hf : LowerSemicontinuous f) (y : β) : IsOpen (f ⁻¹' Ioi y) := lowerSemicontinuous_iff_isOpen_preimage.1 hf y #align lower_semicontinuous.is_open_preimage LowerSemicontinuous.isOpen_preimage section variable {γ : Type*} [LinearOrder γ] theorem lowerSemicontinuous_iff_isClosed_preimage {f : α → γ} : LowerSemicontinuous f ↔ ∀ y, IsClosed (f ⁻¹' Iic y) := by rw [lowerSemicontinuous_iff_isOpen_preimage] simp only [← isOpen_compl_iff, ← preimage_compl, compl_Iic] #align lower_semicontinuous_iff_is_closed_preimage lowerSemicontinuous_iff_isClosed_preimage theorem LowerSemicontinuous.isClosed_preimage {f : α → γ} (hf : LowerSemicontinuous f) (y : γ) : IsClosed (f ⁻¹' Iic y) := lowerSemicontinuous_iff_isClosed_preimage.1 hf y #align lower_semicontinuous.is_closed_preimage LowerSemicontinuous.isClosed_preimage variable [TopologicalSpace γ] [OrderTopology γ] theorem ContinuousWithinAt.lowerSemicontinuousWithinAt {f : α → γ} (h : ContinuousWithinAt f s x) : LowerSemicontinuousWithinAt f s x := fun _y hy => h (Ioi_mem_nhds hy) #align continuous_within_at.lower_semicontinuous_within_at ContinuousWithinAt.lowerSemicontinuousWithinAt theorem ContinuousAt.lowerSemicontinuousAt {f : α → γ} (h : ContinuousAt f x) : LowerSemicontinuousAt f x := fun _y hy => h (Ioi_mem_nhds hy) #align continuous_at.lower_semicontinuous_at ContinuousAt.lowerSemicontinuousAt theorem ContinuousOn.lowerSemicontinuousOn {f : α → γ} (h : ContinuousOn f s) : LowerSemicontinuousOn f s := fun x hx => (h x hx).lowerSemicontinuousWithinAt #align continuous_on.lower_semicontinuous_on ContinuousOn.lowerSemicontinuousOn theorem Continuous.lowerSemicontinuous {f : α → γ} (h : Continuous f) : LowerSemicontinuous f := fun _x => h.continuousAt.lowerSemicontinuousAt #align continuous.lower_semicontinuous Continuous.lowerSemicontinuous end section variable {γ : Type*} [CompleteLinearOrder γ] [DenselyOrdered γ] theorem lowerSemicontinuousWithinAt_iff_le_liminf {f : α → γ} : LowerSemicontinuousWithinAt f s x ↔ f x ≤ liminf f (𝓝[s] x) := by constructor · intro hf; unfold LowerSemicontinuousWithinAt at hf contrapose! hf obtain ⟨y, lty, ylt⟩ := exists_between hf; use y exact ⟨ylt, fun h => lty.not_le (le_liminf_of_le (by isBoundedDefault) (h.mono fun _ hx => le_of_lt hx))⟩ exact fun hf y ylt => eventually_lt_of_lt_liminf (ylt.trans_le hf) alias ⟨LowerSemicontinuousWithinAt.le_liminf, _⟩ := lowerSemicontinuousWithinAt_iff_le_liminf theorem lowerSemicontinuousAt_iff_le_liminf {f : α → γ} : LowerSemicontinuousAt f x ↔ f x ≤ liminf f (𝓝 x) := by rw [← lowerSemicontinuousWithinAt_univ_iff, lowerSemicontinuousWithinAt_iff_le_liminf, ← nhdsWithin_univ] alias ⟨LowerSemicontinuousAt.le_liminf, _⟩ := lowerSemicontinuousAt_iff_le_liminf
Mathlib/Topology/Semicontinuous.lean
339
341
theorem lowerSemicontinuous_iff_le_liminf {f : α → γ} : LowerSemicontinuous f ↔ ∀ x, f x ≤ liminf f (𝓝 x) := by
simp only [← lowerSemicontinuousAt_iff_le_liminf, LowerSemicontinuous]
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] 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] #align approx_order_of.image_pow_subset approxOrderOf.image_pow_subset #align approx_add_order_of.image_nsmul_subset approxAddOrderOf.image_nsmul_subset @[to_additive]
Mathlib/NumberTheory/WellApproximable.lean
134
142
theorem smul_subset_of_coprime (han : (orderOf a).Coprime n) : a • approxOrderOf A n δ ⊆ approxOrderOf A (orderOf a * n) δ := by
simp_rw [approxOrderOf, thickening_eq_biUnion_ball, ← image_smul, image_iUnion₂, image_smul, smul_ball'', smul_eq_mul, mem_setOf_eq] refine iUnion₂_subset_iff.mpr fun b hb c hc => ?_ simp only [mem_iUnion, exists_prop] refine ⟨a * b, ?_, hc⟩ rw [← hb] at han ⊢ exact (Commute.all a b).orderOf_mul_eq_mul_orderOf_of_coprime han
import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Data.Nat.Totient import Mathlib.GroupTheory.OrderOfElement import Mathlib.GroupTheory.Subgroup.Simple import Mathlib.Tactic.Group import Mathlib.GroupTheory.Exponent #align_import group_theory.specific_groups.cyclic from "leanprover-community/mathlib"@"0f6670b8af2dff699de1c0b4b49039b31bc13c46" universe u variable {α : Type u} {a : α} section Cyclic attribute [local instance] setFintype open Subgroup class IsAddCyclic (α : Type u) [AddGroup α] : Prop where exists_generator : ∃ g : α, ∀ x, x ∈ AddSubgroup.zmultiples g #align is_add_cyclic IsAddCyclic @[to_additive] class IsCyclic (α : Type u) [Group α] : Prop where exists_generator : ∃ g : α, ∀ x, x ∈ zpowers g #align is_cyclic IsCyclic @[to_additive] instance (priority := 100) isCyclic_of_subsingleton [Group α] [Subsingleton α] : IsCyclic α := ⟨⟨1, fun x => by rw [Subsingleton.elim x 1] exact mem_zpowers 1⟩⟩ #align is_cyclic_of_subsingleton isCyclic_of_subsingleton #align is_add_cyclic_of_subsingleton isAddCyclic_of_subsingleton @[simp] theorem isCyclic_multiplicative_iff [AddGroup α] : IsCyclic (Multiplicative α) ↔ IsAddCyclic α := ⟨fun H ↦ ⟨H.1⟩, fun H ↦ ⟨H.1⟩⟩ instance isCyclic_multiplicative [AddGroup α] [IsAddCyclic α] : IsCyclic (Multiplicative α) := isCyclic_multiplicative_iff.mpr inferInstance @[simp] theorem isAddCyclic_additive_iff [Group α] : IsAddCyclic (Additive α) ↔ IsCyclic α := ⟨fun H ↦ ⟨H.1⟩, fun H ↦ ⟨H.1⟩⟩ instance isAddCyclic_additive [Group α] [IsCyclic α] : IsAddCyclic (Additive α) := isAddCyclic_additive_iff.mpr inferInstance @[to_additive "A cyclic group is always commutative. This is not an `instance` because often we have a better proof of `AddCommGroup`."] def IsCyclic.commGroup [hg : Group α] [IsCyclic α] : CommGroup α := { hg with mul_comm := fun x y => let ⟨_, hg⟩ := IsCyclic.exists_generator (α := α) let ⟨_, hn⟩ := hg x let ⟨_, hm⟩ := hg y hm ▸ hn ▸ zpow_mul_comm _ _ _ } #align is_cyclic.comm_group IsCyclic.commGroup #align is_add_cyclic.add_comm_group IsAddCyclic.addCommGroup variable [Group α] @[to_additive "A non-cyclic additive group is non-trivial."] theorem Nontrivial.of_not_isCyclic (nc : ¬IsCyclic α) : Nontrivial α := by contrapose! nc exact @isCyclic_of_subsingleton _ _ (not_nontrivial_iff_subsingleton.mp nc) @[to_additive] theorem MonoidHom.map_cyclic {G : Type*} [Group G] [h : IsCyclic G] (σ : G →* G) : ∃ m : ℤ, ∀ g : G, σ g = g ^ m := by obtain ⟨h, hG⟩ := IsCyclic.exists_generator (α := G) obtain ⟨m, hm⟩ := hG (σ h) refine ⟨m, fun g => ?_⟩ obtain ⟨n, rfl⟩ := hG g rw [MonoidHom.map_zpow, ← hm, ← zpow_mul, ← zpow_mul'] #align monoid_hom.map_cyclic MonoidHom.map_cyclic #align monoid_add_hom.map_add_cyclic AddMonoidHom.map_addCyclic @[deprecated (since := "2024-02-21")] alias MonoidAddHom.map_add_cyclic := AddMonoidHom.map_addCyclic @[to_additive]
Mathlib/GroupTheory/SpecificGroups/Cyclic.lean
123
129
theorem isCyclic_of_orderOf_eq_card [Fintype α] (x : α) (hx : orderOf x = Fintype.card α) : IsCyclic α := by
classical use x simp_rw [← SetLike.mem_coe, ← Set.eq_univ_iff_forall] rw [← Fintype.card_congr (Equiv.Set.univ α), ← Fintype.card_zpowers] at hx exact Set.eq_of_subset_of_card_le (Set.subset_univ _) (ge_of_eq hx)
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 UnitAddCircle theorem mem_approxAddOrderOf_iff {δ : ℝ} {x : UnitAddCircle} {n : ℕ} (hn : 0 < n) : x ∈ approxAddOrderOf UnitAddCircle n δ ↔ ∃ m < n, gcd m n = 1 ∧ ‖x - ↑((m : ℝ) / n)‖ < δ := by simp only [mem_approx_add_orderOf_iff, mem_setOf_eq, ball, exists_prop, dist_eq_norm, AddCircle.addOrderOf_eq_pos_iff hn, mul_one] constructor · rintro ⟨y, ⟨m, hm₁, hm₂, rfl⟩, hx⟩; exact ⟨m, hm₁, hm₂, hx⟩ · rintro ⟨m, hm₁, hm₂, hx⟩; exact ⟨↑((m : ℝ) / n), ⟨m, hm₁, hm₂, rfl⟩, hx⟩ #align unit_add_circle.mem_approx_add_order_of_iff UnitAddCircle.mem_approxAddOrderOf_iff
Mathlib/NumberTheory/WellApproximable.lean
183
191
theorem mem_addWellApproximable_iff (δ : ℕ → ℝ) (x : UnitAddCircle) : x ∈ addWellApproximable UnitAddCircle δ ↔ {n : ℕ | ∃ m < n, gcd m n = 1 ∧ ‖x - ↑((m : ℝ) / n)‖ < δ n}.Infinite := by
simp only [mem_add_wellApproximable_iff, ← Nat.cofinite_eq_atTop, cofinite.blimsup_set_eq, mem_setOf_eq] refine iff_of_eq (congr_arg Set.Infinite <| ext fun n => ⟨fun hn => ?_, fun hn => ?_⟩) · exact (mem_approxAddOrderOf_iff hn.1).mp hn.2 · have h : 0 < n := by obtain ⟨m, hm₁, _, _⟩ := hn; exact pos_of_gt hm₁ exact ⟨h, (mem_approxAddOrderOf_iff h).mpr hn⟩
import Mathlib.Data.PNat.Prime import Mathlib.Algebra.IsPrimePow import Mathlib.NumberTheory.Cyclotomic.Basic import Mathlib.RingTheory.Adjoin.PowerBasis import Mathlib.RingTheory.Polynomial.Cyclotomic.Eval import Mathlib.RingTheory.Norm import Mathlib.RingTheory.Polynomial.Cyclotomic.Expand #align_import number_theory.cyclotomic.primitive_roots from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32" open Polynomial Algebra Finset FiniteDimensional IsCyclotomicExtension Nat PNat Set open scoped IntermediateField universe u v w z variable {p n : ℕ+} (A : Type w) (B : Type z) (K : Type u) {L : Type v} (C : Type w) variable [CommRing A] [CommRing B] [Algebra A B] [IsCyclotomicExtension {n} A B] section Zeta section NoOrder variable [Field K] [CommRing L] [IsDomain L] [Algebra K L] [IsCyclotomicExtension {n} K L] {ζ : L} (hζ : IsPrimitiveRoot ζ n) namespace IsPrimitiveRoot variable {C} @[simps!] protected noncomputable def powerBasis : PowerBasis K L := PowerBasis.map (Algebra.adjoin.powerBasis <| (integral {n} K L).isIntegral ζ) <| (Subalgebra.equivOfEq _ _ (IsCyclotomicExtension.adjoin_primitive_root_eq_top hζ)).trans Subalgebra.topEquiv #align is_primitive_root.power_basis IsPrimitiveRoot.powerBasis
Mathlib/NumberTheory/Cyclotomic/PrimitiveRoots.lean
128
131
theorem powerBasis_gen_mem_adjoin_zeta_sub_one : (hζ.powerBasis K).gen ∈ adjoin K ({ζ - 1} : Set L) := by
rw [powerBasis_gen, adjoin_singleton_eq_range_aeval, AlgHom.mem_range] exact ⟨X + 1, by simp⟩
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]
Mathlib/Data/Set/Lattice.lean
1,225
1,226
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]
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
Mathlib/Analysis/SpecialFunctions/Trigonometric/Inverse.lean
58
61
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]
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] 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] #align turing.pointed_map.head_map Turing.PointedMap.headI_map def ListBlank.map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : ListBlank Γ' := by apply l.liftOn (fun l ↦ ListBlank.mk (List.map f l)) rintro l _ ⟨i, rfl⟩; refine Quotient.sound' (Or.inl ⟨i, ?_⟩) simp only [PointedMap.map_pt, List.map_append, List.map_replicate] #align turing.list_blank.map Turing.ListBlank.map @[simp] theorem ListBlank.map_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) : (ListBlank.mk l).map f = ListBlank.mk (l.map f) := rfl #align turing.list_blank.map_mk Turing.ListBlank.map_mk @[simp] theorem ListBlank.head_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : (l.map f).head = f l.head := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l fun a ↦ rfl #align turing.list_blank.head_map Turing.ListBlank.head_map @[simp] theorem ListBlank.tail_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) : (l.map f).tail = l.tail.map f := by conv => lhs; rw [← ListBlank.cons_head_tail l] exact Quotient.inductionOn' l fun a ↦ rfl #align turing.list_blank.tail_map Turing.ListBlank.tail_map @[simp] theorem ListBlank.map_cons {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) (a : Γ) : (l.cons a).map f = (l.map f).cons (f a) := by refine (ListBlank.cons_head_tail _).symm.trans ?_ simp only [ListBlank.head_map, ListBlank.head_cons, ListBlank.tail_map, ListBlank.tail_cons] #align turing.list_blank.map_cons Turing.ListBlank.map_cons @[simp] theorem ListBlank.nth_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) (n : ℕ) : (l.map f).nth n = f (l.nth n) := by refine l.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices ((mk l).map f).nth n = f ((mk l).nth n) by exact this simp only [List.get?_map, ListBlank.map_mk, ListBlank.nth_mk, List.getI_eq_iget_get?] cases l.get? n · exact f.2.symm · rfl #align turing.list_blank.nth_map Turing.ListBlank.nth_map def proj {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) : PointedMap (∀ i, Γ i) (Γ i) := ⟨fun a ↦ a i, rfl⟩ #align turing.proj Turing.proj theorem proj_map_nth {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) (L n) : (ListBlank.map (@proj ι Γ _ i) L).nth n = L.nth n i := by rw [ListBlank.nth_map]; rfl #align turing.proj_map_nth Turing.proj_map_nth theorem ListBlank.map_modifyNth {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (F : PointedMap Γ Γ') (f : Γ → Γ) (f' : Γ' → Γ') (H : ∀ x, F (f x) = f' (F x)) (n) (L : ListBlank Γ) : (L.modifyNth f n).map F = (L.map F).modifyNth f' n := by induction' n with n IH generalizing L <;> simp only [*, ListBlank.head_map, ListBlank.modifyNth, ListBlank.map_cons, ListBlank.tail_map] #align turing.list_blank.map_modify_nth Turing.ListBlank.map_modifyNth @[simp] def ListBlank.append {Γ} [Inhabited Γ] : List Γ → ListBlank Γ → ListBlank Γ | [], L => L | a :: l, L => ListBlank.cons a (ListBlank.append l L) #align turing.list_blank.append Turing.ListBlank.append @[simp] theorem ListBlank.append_mk {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : ListBlank.append l₁ (ListBlank.mk l₂) = ListBlank.mk (l₁ ++ l₂) := by induction l₁ <;> simp only [*, ListBlank.append, List.nil_append, List.cons_append, ListBlank.cons_mk] #align turing.list_blank.append_mk Turing.ListBlank.append_mk theorem ListBlank.append_assoc {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) (l₃ : ListBlank Γ) : ListBlank.append (l₁ ++ l₂) l₃ = ListBlank.append l₁ (ListBlank.append l₂ l₃) := by refine l₃.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices append (l₁ ++ l₂) (mk l) = append l₁ (append l₂ (mk l)) by exact this simp only [ListBlank.append_mk, List.append_assoc] #align turing.list_blank.append_assoc Turing.ListBlank.append_assoc def ListBlank.bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : ListBlank Γ) (f : Γ → List Γ') (hf : ∃ n, f default = List.replicate n default) : ListBlank Γ' := by apply l.liftOn (fun l ↦ ListBlank.mk (List.bind l f)) rintro l _ ⟨i, rfl⟩; cases' hf with n e; refine Quotient.sound' (Or.inl ⟨i * n, ?_⟩) rw [List.append_bind, mul_comm]; congr induction' i with i IH · rfl simp only [IH, e, List.replicate_add, Nat.mul_succ, add_comm, List.replicate_succ, List.cons_bind] #align turing.list_blank.bind Turing.ListBlank.bind @[simp] theorem ListBlank.bind_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : List Γ) (f : Γ → List Γ') (hf) : (ListBlank.mk l).bind f hf = ListBlank.mk (l.bind f) := rfl #align turing.list_blank.bind_mk Turing.ListBlank.bind_mk @[simp] theorem ListBlank.cons_bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (a : Γ) (l : ListBlank Γ) (f : Γ → List Γ') (hf) : (l.cons a).bind f hf = (l.bind f hf).append (f a) := by refine l.inductionOn fun l ↦ ?_ -- Porting note: Added `suffices` to get `simp` to work. suffices ((mk l).cons a).bind f hf = ((mk l).bind f hf).append (f a) by exact this simp only [ListBlank.append_mk, ListBlank.bind_mk, ListBlank.cons_mk, List.cons_bind] #align turing.list_blank.cons_bind Turing.ListBlank.cons_bind structure Tape (Γ : Type*) [Inhabited Γ] where head : Γ left : ListBlank Γ right : ListBlank Γ #align turing.tape Turing.Tape instance Tape.inhabited {Γ} [Inhabited Γ] : Inhabited (Tape Γ) := ⟨by constructor <;> apply default⟩ #align turing.tape.inhabited Turing.Tape.inhabited inductive Dir | left | right deriving DecidableEq, Inhabited #align turing.dir Turing.Dir def Tape.left₀ {Γ} [Inhabited Γ] (T : Tape Γ) : ListBlank Γ := T.left.cons T.head #align turing.tape.left₀ Turing.Tape.left₀ def Tape.right₀ {Γ} [Inhabited Γ] (T : Tape Γ) : ListBlank Γ := T.right.cons T.head #align turing.tape.right₀ Turing.Tape.right₀ def Tape.move {Γ} [Inhabited Γ] : Dir → Tape Γ → Tape Γ | Dir.left, ⟨a, L, R⟩ => ⟨L.head, L.tail, R.cons a⟩ | Dir.right, ⟨a, L, R⟩ => ⟨R.head, L.cons a, R.tail⟩ #align turing.tape.move Turing.Tape.move @[simp] theorem Tape.move_left_right {Γ} [Inhabited Γ] (T : Tape Γ) : (T.move Dir.left).move Dir.right = T := by cases T; simp [Tape.move] #align turing.tape.move_left_right Turing.Tape.move_left_right @[simp] theorem Tape.move_right_left {Γ} [Inhabited Γ] (T : Tape Γ) : (T.move Dir.right).move Dir.left = T := by cases T; simp [Tape.move] #align turing.tape.move_right_left Turing.Tape.move_right_left def Tape.mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) : Tape Γ := ⟨R.head, L, R.tail⟩ #align turing.tape.mk' Turing.Tape.mk' @[simp] theorem Tape.mk'_left {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).left = L := rfl #align turing.tape.mk'_left Turing.Tape.mk'_left @[simp] theorem Tape.mk'_head {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).head = R.head := rfl #align turing.tape.mk'_head Turing.Tape.mk'_head @[simp] theorem Tape.mk'_right {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).right = R.tail := rfl #align turing.tape.mk'_right Turing.Tape.mk'_right @[simp] theorem Tape.mk'_right₀ {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).right₀ = R := ListBlank.cons_head_tail _ #align turing.tape.mk'_right₀ Turing.Tape.mk'_right₀ @[simp] theorem Tape.mk'_left_right₀ {Γ} [Inhabited Γ] (T : Tape Γ) : Tape.mk' T.left T.right₀ = T := by cases T simp only [Tape.right₀, Tape.mk', ListBlank.head_cons, ListBlank.tail_cons, eq_self_iff_true, and_self_iff] #align turing.tape.mk'_left_right₀ Turing.Tape.mk'_left_right₀ theorem Tape.exists_mk' {Γ} [Inhabited Γ] (T : Tape Γ) : ∃ L R, T = Tape.mk' L R := ⟨_, _, (Tape.mk'_left_right₀ _).symm⟩ #align turing.tape.exists_mk' Turing.Tape.exists_mk' @[simp] theorem Tape.move_left_mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).move Dir.left = Tape.mk' L.tail (R.cons L.head) := by simp only [Tape.move, Tape.mk', ListBlank.head_cons, eq_self_iff_true, ListBlank.cons_head_tail, and_self_iff, ListBlank.tail_cons] #align turing.tape.move_left_mk' Turing.Tape.move_left_mk' @[simp] theorem Tape.move_right_mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).move Dir.right = Tape.mk' (L.cons R.head) R.tail := by simp only [Tape.move, Tape.mk', ListBlank.head_cons, eq_self_iff_true, ListBlank.cons_head_tail, and_self_iff, ListBlank.tail_cons] #align turing.tape.move_right_mk' Turing.Tape.move_right_mk' def Tape.mk₂ {Γ} [Inhabited Γ] (L R : List Γ) : Tape Γ := Tape.mk' (ListBlank.mk L) (ListBlank.mk R) #align turing.tape.mk₂ Turing.Tape.mk₂ def Tape.mk₁ {Γ} [Inhabited Γ] (l : List Γ) : Tape Γ := Tape.mk₂ [] l #align turing.tape.mk₁ Turing.Tape.mk₁ def Tape.nth {Γ} [Inhabited Γ] (T : Tape Γ) : ℤ → Γ | 0 => T.head | (n + 1 : ℕ) => T.right.nth n | -(n + 1 : ℕ) => T.left.nth n #align turing.tape.nth Turing.Tape.nth @[simp] theorem Tape.nth_zero {Γ} [Inhabited Γ] (T : Tape Γ) : T.nth 0 = T.1 := rfl #align turing.tape.nth_zero Turing.Tape.nth_zero theorem Tape.right₀_nth {Γ} [Inhabited Γ] (T : Tape Γ) (n : ℕ) : T.right₀.nth n = T.nth n := by cases n <;> simp only [Tape.nth, Tape.right₀, Int.ofNat_zero, ListBlank.nth_zero, ListBlank.nth_succ, ListBlank.head_cons, ListBlank.tail_cons, Nat.zero_eq] #align turing.tape.right₀_nth Turing.Tape.right₀_nth @[simp] theorem Tape.mk'_nth_nat {Γ} [Inhabited Γ] (L R : ListBlank Γ) (n : ℕ) : (Tape.mk' L R).nth n = R.nth n := by rw [← Tape.right₀_nth, Tape.mk'_right₀] #align turing.tape.mk'_nth_nat Turing.Tape.mk'_nth_nat @[simp] theorem Tape.move_left_nth {Γ} [Inhabited Γ] : ∀ (T : Tape Γ) (i : ℤ), (T.move Dir.left).nth i = T.nth (i - 1) | ⟨_, L, _⟩, -(n + 1 : ℕ) => (ListBlank.nth_succ _ _).symm | ⟨_, L, _⟩, 0 => (ListBlank.nth_zero _).symm | ⟨a, L, R⟩, 1 => (ListBlank.nth_zero _).trans (ListBlank.head_cons _ _) | ⟨a, L, R⟩, (n + 1 : ℕ) + 1 => by rw [add_sub_cancel_right] change (R.cons a).nth (n + 1) = R.nth n rw [ListBlank.nth_succ, ListBlank.tail_cons] #align turing.tape.move_left_nth Turing.Tape.move_left_nth @[simp] theorem Tape.move_right_nth {Γ} [Inhabited Γ] (T : Tape Γ) (i : ℤ) : (T.move Dir.right).nth i = T.nth (i + 1) := by conv => rhs; rw [← T.move_right_left] rw [Tape.move_left_nth, add_sub_cancel_right] #align turing.tape.move_right_nth Turing.Tape.move_right_nth @[simp] theorem Tape.move_right_n_head {Γ} [Inhabited Γ] (T : Tape Γ) (i : ℕ) : ((Tape.move Dir.right)^[i] T).head = T.nth i := by induction i generalizing T · rfl · simp only [*, Tape.move_right_nth, Int.ofNat_succ, iterate_succ, Function.comp_apply] #align turing.tape.move_right_n_head Turing.Tape.move_right_n_head def Tape.write {Γ} [Inhabited Γ] (b : Γ) (T : Tape Γ) : Tape Γ := { T with head := b } #align turing.tape.write Turing.Tape.write @[simp]
Mathlib/Computability/TuringMachine.lean
668
669
theorem Tape.write_self {Γ} [Inhabited Γ] : ∀ T : Tape Γ, T.write T.1 = T := by
rintro ⟨⟩; rfl
import Mathlib.Algebra.CharZero.Lemmas import Mathlib.Algebra.GroupWithZero.Divisibility import Mathlib.Data.Real.Basic import Mathlib.Data.Set.Image #align_import data.complex.basic from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004" open Set Function structure Complex : Type where re : ℝ im : ℝ #align complex Complex @[inherit_doc] notation "ℂ" => Complex namespace Complex open ComplexConjugate noncomputable instance : DecidableEq ℂ := Classical.decEq _ @[simps apply] def equivRealProd : ℂ ≃ ℝ × ℝ where toFun z := ⟨z.re, z.im⟩ invFun p := ⟨p.1, p.2⟩ left_inv := fun ⟨_, _⟩ => rfl right_inv := fun ⟨_, _⟩ => rfl #align complex.equiv_real_prod Complex.equivRealProd @[simp] theorem eta : ∀ z : ℂ, Complex.mk z.re z.im = z | ⟨_, _⟩ => rfl #align complex.eta Complex.eta -- We only mark this lemma with `ext` *locally* to avoid it applying whenever terms of `ℂ` appear. theorem ext : ∀ {z w : ℂ}, z.re = w.re → z.im = w.im → z = w | ⟨_, _⟩, ⟨_, _⟩, rfl, rfl => rfl #align complex.ext Complex.ext attribute [local ext] Complex.ext theorem ext_iff {z w : ℂ} : z = w ↔ z.re = w.re ∧ z.im = w.im := ⟨fun H => by simp [H], fun h => ext h.1 h.2⟩ #align complex.ext_iff Complex.ext_iff theorem re_surjective : Surjective re := fun x => ⟨⟨x, 0⟩, rfl⟩ #align complex.re_surjective Complex.re_surjective theorem im_surjective : Surjective im := fun y => ⟨⟨0, y⟩, rfl⟩ #align complex.im_surjective Complex.im_surjective @[simp] theorem range_re : range re = univ := re_surjective.range_eq #align complex.range_re Complex.range_re @[simp] theorem range_im : range im = univ := im_surjective.range_eq #align complex.range_im Complex.range_im -- Porting note: refactored instance to allow `norm_cast` to work @[coe] def ofReal' (r : ℝ) : ℂ := ⟨r, 0⟩ instance : Coe ℝ ℂ := ⟨ofReal'⟩ @[simp, norm_cast] theorem ofReal_re (r : ℝ) : Complex.re (r : ℂ) = r := rfl #align complex.of_real_re Complex.ofReal_re @[simp, norm_cast] theorem ofReal_im (r : ℝ) : (r : ℂ).im = 0 := rfl #align complex.of_real_im Complex.ofReal_im theorem ofReal_def (r : ℝ) : (r : ℂ) = ⟨r, 0⟩ := rfl #align complex.of_real_def Complex.ofReal_def @[simp, norm_cast] theorem ofReal_inj {z w : ℝ} : (z : ℂ) = w ↔ z = w := ⟨congrArg re, by apply congrArg⟩ #align complex.of_real_inj Complex.ofReal_inj -- Porting note: made coercion explicit theorem ofReal_injective : Function.Injective ((↑) : ℝ → ℂ) := fun _ _ => congrArg re #align complex.of_real_injective Complex.ofReal_injective -- Porting note: made coercion explicit instance canLift : CanLift ℂ ℝ (↑) fun z => z.im = 0 where prf z hz := ⟨z.re, ext rfl hz.symm⟩ #align complex.can_lift Complex.canLift def Set.reProdIm (s t : Set ℝ) : Set ℂ := re ⁻¹' s ∩ im ⁻¹' t #align set.re_prod_im Complex.Set.reProdIm @[inherit_doc] infixl:72 " ×ℂ " => Set.reProdIm theorem mem_reProdIm {z : ℂ} {s t : Set ℝ} : z ∈ s ×ℂ t ↔ z.re ∈ s ∧ z.im ∈ t := Iff.rfl #align complex.mem_re_prod_im Complex.mem_reProdIm instance : Zero ℂ := ⟨(0 : ℝ)⟩ instance : Inhabited ℂ := ⟨0⟩ @[simp] theorem zero_re : (0 : ℂ).re = 0 := rfl #align complex.zero_re Complex.zero_re @[simp] theorem zero_im : (0 : ℂ).im = 0 := rfl #align complex.zero_im Complex.zero_im @[simp, norm_cast] theorem ofReal_zero : ((0 : ℝ) : ℂ) = 0 := rfl #align complex.of_real_zero Complex.ofReal_zero @[simp] theorem ofReal_eq_zero {z : ℝ} : (z : ℂ) = 0 ↔ z = 0 := ofReal_inj #align complex.of_real_eq_zero Complex.ofReal_eq_zero theorem ofReal_ne_zero {z : ℝ} : (z : ℂ) ≠ 0 ↔ z ≠ 0 := not_congr ofReal_eq_zero #align complex.of_real_ne_zero Complex.ofReal_ne_zero instance : One ℂ := ⟨(1 : ℝ)⟩ @[simp] theorem one_re : (1 : ℂ).re = 1 := rfl #align complex.one_re Complex.one_re @[simp] theorem one_im : (1 : ℂ).im = 0 := rfl #align complex.one_im Complex.one_im @[simp, norm_cast] theorem ofReal_one : ((1 : ℝ) : ℂ) = 1 := rfl #align complex.of_real_one Complex.ofReal_one @[simp] theorem ofReal_eq_one {z : ℝ} : (z : ℂ) = 1 ↔ z = 1 := ofReal_inj #align complex.of_real_eq_one Complex.ofReal_eq_one theorem ofReal_ne_one {z : ℝ} : (z : ℂ) ≠ 1 ↔ z ≠ 1 := not_congr ofReal_eq_one #align complex.of_real_ne_one Complex.ofReal_ne_one instance : Add ℂ := ⟨fun z w => ⟨z.re + w.re, z.im + w.im⟩⟩ @[simp] theorem add_re (z w : ℂ) : (z + w).re = z.re + w.re := rfl #align complex.add_re Complex.add_re @[simp] theorem add_im (z w : ℂ) : (z + w).im = z.im + w.im := rfl #align complex.add_im Complex.add_im -- replaced by `re_ofNat` #noalign complex.bit0_re #noalign complex.bit1_re -- replaced by `im_ofNat` #noalign complex.bit0_im #noalign complex.bit1_im @[simp, norm_cast] theorem ofReal_add (r s : ℝ) : ((r + s : ℝ) : ℂ) = r + s := ext_iff.2 <| by simp [ofReal'] #align complex.of_real_add Complex.ofReal_add -- replaced by `Complex.ofReal_ofNat` #noalign complex.of_real_bit0 #noalign complex.of_real_bit1 instance : Neg ℂ := ⟨fun z => ⟨-z.re, -z.im⟩⟩ @[simp] theorem neg_re (z : ℂ) : (-z).re = -z.re := rfl #align complex.neg_re Complex.neg_re @[simp] theorem neg_im (z : ℂ) : (-z).im = -z.im := rfl #align complex.neg_im Complex.neg_im @[simp, norm_cast] theorem ofReal_neg (r : ℝ) : ((-r : ℝ) : ℂ) = -r := ext_iff.2 <| by simp [ofReal'] #align complex.of_real_neg Complex.ofReal_neg instance : Sub ℂ := ⟨fun z w => ⟨z.re - w.re, z.im - w.im⟩⟩ instance : Mul ℂ := ⟨fun z w => ⟨z.re * w.re - z.im * w.im, z.re * w.im + z.im * w.re⟩⟩ @[simp] theorem mul_re (z w : ℂ) : (z * w).re = z.re * w.re - z.im * w.im := rfl #align complex.mul_re Complex.mul_re @[simp] theorem mul_im (z w : ℂ) : (z * w).im = z.re * w.im + z.im * w.re := rfl #align complex.mul_im Complex.mul_im @[simp, norm_cast] theorem ofReal_mul (r s : ℝ) : ((r * s : ℝ) : ℂ) = r * s := ext_iff.2 <| by simp [ofReal'] #align complex.of_real_mul Complex.ofReal_mul theorem re_ofReal_mul (r : ℝ) (z : ℂ) : (r * z).re = r * z.re := by simp [ofReal'] #align complex.of_real_mul_re Complex.re_ofReal_mul theorem im_ofReal_mul (r : ℝ) (z : ℂ) : (r * z).im = r * z.im := by simp [ofReal'] #align complex.of_real_mul_im Complex.im_ofReal_mul lemma re_mul_ofReal (z : ℂ) (r : ℝ) : (z * r).re = z.re * r := by simp [ofReal'] lemma im_mul_ofReal (z : ℂ) (r : ℝ) : (z * r).im = z.im * r := by simp [ofReal'] theorem ofReal_mul' (r : ℝ) (z : ℂ) : ↑r * z = ⟨r * z.re, r * z.im⟩ := ext (re_ofReal_mul _ _) (im_ofReal_mul _ _) #align complex.of_real_mul' Complex.ofReal_mul' def I : ℂ := ⟨0, 1⟩ set_option linter.uppercaseLean3 false in #align complex.I Complex.I @[simp] theorem I_re : I.re = 0 := rfl set_option linter.uppercaseLean3 false in #align complex.I_re Complex.I_re @[simp] theorem I_im : I.im = 1 := rfl set_option linter.uppercaseLean3 false in #align complex.I_im Complex.I_im @[simp] theorem I_mul_I : I * I = -1 := ext_iff.2 <| by simp set_option linter.uppercaseLean3 false in #align complex.I_mul_I Complex.I_mul_I theorem I_mul (z : ℂ) : I * z = ⟨-z.im, z.re⟩ := ext_iff.2 <| by simp set_option linter.uppercaseLean3 false in #align complex.I_mul Complex.I_mul @[simp] lemma I_ne_zero : (I : ℂ) ≠ 0 := mt (congr_arg im) zero_ne_one.symm set_option linter.uppercaseLean3 false in #align complex.I_ne_zero Complex.I_ne_zero theorem mk_eq_add_mul_I (a b : ℝ) : Complex.mk a b = a + b * I := ext_iff.2 <| by simp [ofReal'] set_option linter.uppercaseLean3 false in #align complex.mk_eq_add_mul_I Complex.mk_eq_add_mul_I @[simp] theorem re_add_im (z : ℂ) : (z.re : ℂ) + z.im * I = z := ext_iff.2 <| by simp [ofReal'] #align complex.re_add_im Complex.re_add_im theorem mul_I_re (z : ℂ) : (z * I).re = -z.im := by simp set_option linter.uppercaseLean3 false in #align complex.mul_I_re Complex.mul_I_re
Mathlib/Data/Complex/Basic.lean
322
322
theorem mul_I_im (z : ℂ) : (z * I).im = z.re := by
simp
import Mathlib.Topology.UniformSpace.UniformConvergenceTopology #align_import topology.uniform_space.equicontinuity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" section open UniformSpace Filter Set Uniformity Topology UniformConvergence Function variable {ι κ X X' Y Z α α' β β' γ 𝓕 : Type*} [tX : TopologicalSpace X] [tY : TopologicalSpace Y] [tZ : TopologicalSpace Z] [uα : UniformSpace α] [uβ : UniformSpace β] [uγ : UniformSpace γ] def EquicontinuousAt (F : ι → X → α) (x₀ : X) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝 x₀, ∀ i, (F i x₀, F i x) ∈ U #align equicontinuous_at EquicontinuousAt protected abbrev Set.EquicontinuousAt (H : Set <| X → α) (x₀ : X) : Prop := EquicontinuousAt ((↑) : H → X → α) x₀ #align set.equicontinuous_at Set.EquicontinuousAt def EquicontinuousWithinAt (F : ι → X → α) (S : Set X) (x₀ : X) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ x in 𝓝[S] x₀, ∀ i, (F i x₀, F i x) ∈ U protected abbrev Set.EquicontinuousWithinAt (H : Set <| X → α) (S : Set X) (x₀ : X) : Prop := EquicontinuousWithinAt ((↑) : H → X → α) S x₀ def Equicontinuous (F : ι → X → α) : Prop := ∀ x₀, EquicontinuousAt F x₀ #align equicontinuous Equicontinuous protected abbrev Set.Equicontinuous (H : Set <| X → α) : Prop := Equicontinuous ((↑) : H → X → α) #align set.equicontinuous Set.Equicontinuous def EquicontinuousOn (F : ι → X → α) (S : Set X) : Prop := ∀ x₀ ∈ S, EquicontinuousWithinAt F S x₀ protected abbrev Set.EquicontinuousOn (H : Set <| X → α) (S : Set X) : Prop := EquicontinuousOn ((↑) : H → X → α) S def UniformEquicontinuous (F : ι → β → α) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β, ∀ i, (F i xy.1, F i xy.2) ∈ U #align uniform_equicontinuous UniformEquicontinuous protected abbrev Set.UniformEquicontinuous (H : Set <| β → α) : Prop := UniformEquicontinuous ((↑) : H → β → α) #align set.uniform_equicontinuous Set.UniformEquicontinuous def UniformEquicontinuousOn (F : ι → β → α) (S : Set β) : Prop := ∀ U ∈ 𝓤 α, ∀ᶠ xy : β × β in 𝓤 β ⊓ 𝓟 (S ×ˢ S), ∀ i, (F i xy.1, F i xy.2) ∈ U protected abbrev Set.UniformEquicontinuousOn (H : Set <| β → α) (S : Set β) : Prop := UniformEquicontinuousOn ((↑) : H → β → α) S lemma EquicontinuousAt.equicontinuousWithinAt {F : ι → X → α} {x₀ : X} (H : EquicontinuousAt F x₀) (S : Set X) : EquicontinuousWithinAt F S x₀ := fun U hU ↦ (H U hU).filter_mono inf_le_left lemma EquicontinuousWithinAt.mono {F : ι → X → α} {x₀ : X} {S T : Set X} (H : EquicontinuousWithinAt F T x₀) (hST : S ⊆ T) : EquicontinuousWithinAt F S x₀ := fun U hU ↦ (H U hU).filter_mono <| nhdsWithin_mono x₀ hST @[simp] lemma equicontinuousWithinAt_univ (F : ι → X → α) (x₀ : X) : EquicontinuousWithinAt F univ x₀ ↔ EquicontinuousAt F x₀ := by rw [EquicontinuousWithinAt, EquicontinuousAt, nhdsWithin_univ] lemma equicontinuousAt_restrict_iff (F : ι → X → α) {S : Set X} (x₀ : S) : EquicontinuousAt (S.restrict ∘ F) x₀ ↔ EquicontinuousWithinAt F S x₀ := by simp [EquicontinuousWithinAt, EquicontinuousAt, ← eventually_nhds_subtype_iff] lemma Equicontinuous.equicontinuousOn {F : ι → X → α} (H : Equicontinuous F) (S : Set X) : EquicontinuousOn F S := fun x _ ↦ (H x).equicontinuousWithinAt S lemma EquicontinuousOn.mono {F : ι → X → α} {S T : Set X} (H : EquicontinuousOn F T) (hST : S ⊆ T) : EquicontinuousOn F S := fun x hx ↦ (H x (hST hx)).mono hST lemma equicontinuousOn_univ (F : ι → X → α) : EquicontinuousOn F univ ↔ Equicontinuous F := by simp [EquicontinuousOn, Equicontinuous] lemma equicontinuous_restrict_iff (F : ι → X → α) {S : Set X} : Equicontinuous (S.restrict ∘ F) ↔ EquicontinuousOn F S := by simp [Equicontinuous, EquicontinuousOn, equicontinuousAt_restrict_iff] lemma UniformEquicontinuous.uniformEquicontinuousOn {F : ι → β → α} (H : UniformEquicontinuous F) (S : Set β) : UniformEquicontinuousOn F S := fun U hU ↦ (H U hU).filter_mono inf_le_left lemma UniformEquicontinuousOn.mono {F : ι → β → α} {S T : Set β} (H : UniformEquicontinuousOn F T) (hST : S ⊆ T) : UniformEquicontinuousOn F S := fun U hU ↦ (H U hU).filter_mono <| by gcongr lemma uniformEquicontinuousOn_univ (F : ι → β → α) : UniformEquicontinuousOn F univ ↔ UniformEquicontinuous F := by simp [UniformEquicontinuousOn, UniformEquicontinuous] lemma uniformEquicontinuous_restrict_iff (F : ι → β → α) {S : Set β} : UniformEquicontinuous (S.restrict ∘ F) ↔ UniformEquicontinuousOn F S := by rw [UniformEquicontinuous, UniformEquicontinuousOn] conv in _ ⊓ _ => rw [← Subtype.range_val (s := S), ← range_prod_map, ← map_comap] rfl @[simp] lemma equicontinuousAt_empty [h : IsEmpty ι] (F : ι → X → α) (x₀ : X) : EquicontinuousAt F x₀ := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma equicontinuousWithinAt_empty [h : IsEmpty ι] (F : ι → X → α) (S : Set X) (x₀ : X) : EquicontinuousWithinAt F S x₀ := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma equicontinuous_empty [IsEmpty ι] (F : ι → X → α) : Equicontinuous F := equicontinuousAt_empty F @[simp] lemma equicontinuousOn_empty [IsEmpty ι] (F : ι → X → α) (S : Set X) : EquicontinuousOn F S := fun x₀ _ ↦ equicontinuousWithinAt_empty F S x₀ @[simp] lemma uniformEquicontinuous_empty [h : IsEmpty ι] (F : ι → β → α) : UniformEquicontinuous F := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) @[simp] lemma uniformEquicontinuousOn_empty [h : IsEmpty ι] (F : ι → β → α) (S : Set β) : UniformEquicontinuousOn F S := fun _ _ ↦ eventually_of_forall (fun _ ↦ h.elim) theorem equicontinuousAt_finite [Finite ι] {F : ι → X → α} {x₀ : X} : EquicontinuousAt F x₀ ↔ ∀ i, ContinuousAt (F i) x₀ := by simp [EquicontinuousAt, ContinuousAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball, @forall_swap _ ι] theorem equicontinuousWithinAt_finite [Finite ι] {F : ι → X → α} {S : Set X} {x₀ : X} : EquicontinuousWithinAt F S x₀ ↔ ∀ i, ContinuousWithinAt (F i) S x₀ := by simp [EquicontinuousWithinAt, ContinuousWithinAt, (nhds_basis_uniformity' (𝓤 α).basis_sets).tendsto_right_iff, UniformSpace.ball, @forall_swap _ ι] theorem equicontinuous_finite [Finite ι] {F : ι → X → α} : Equicontinuous F ↔ ∀ i, Continuous (F i) := by simp only [Equicontinuous, equicontinuousAt_finite, continuous_iff_continuousAt, @forall_swap ι]
Mathlib/Topology/UniformSpace/Equicontinuity.lean
266
268
theorem equicontinuousOn_finite [Finite ι] {F : ι → X → α} {S : Set X} : EquicontinuousOn F S ↔ ∀ i, ContinuousOn (F i) S := by
simp only [EquicontinuousOn, equicontinuousWithinAt_finite, ContinuousOn, @forall_swap ι]
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]
Mathlib/NumberTheory/Divisors.lean
206
206
theorem properDivisors_one : properDivisors 1 = ∅ := by
rw [properDivisors, Ico_self, filter_empty]
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 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 theorem map_one_snd_of_isTwoCocycle {f : G × G → A} (hf : IsTwoCocycle f) (g : G) : f (g, 1) = g • f (1, 1) := by simpa only [mul_one, add_left_inj] using hf g 1 1 end section variable {G A : Type*} [Group G] [AddCommGroup A] [MulAction G A] @[simp] theorem map_inv_of_isOneCocycle {f : G → A} (hf : IsOneCocycle f) (g : G) : g • f g⁻¹ = - f g := by rw [← add_eq_zero_iff_eq_neg, ← map_one_of_isOneCocycle hf, ← mul_inv_self g, hf g g⁻¹]
Mathlib/RepresentationTheory/GroupCohomology/LowDegree.lean
423
427
theorem smul_map_inv_sub_map_inv_of_isTwoCocycle {f : G × G → A} (hf : IsTwoCocycle f) (g : G) : g • f (g⁻¹, g) - f (g, g⁻¹) = f (1, 1) - f (g, 1) := by
have := hf g g⁻¹ g simp only [mul_right_inv, mul_left_inv, map_one_fst_of_isTwoCocycle hf g] at this exact sub_eq_sub_iff_add_eq_add.2 this.symm