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import Mathlib.Data.Set.Subsingleton import Mathlib.Logic.Equiv.Defs import Mathlib.Algebra.Group.Defs #align_import data.part from "leanprover-community/mathlib"@"80c43012d26f63026d362c3aba28f3c3bafb07e6" open Function structure Part.{u} (α : Type u) : Type u where Dom : Prop get : Dom → α #align part Part namespace Part variable {α : Type*} {β : Type*} {γ : Type*} def toOption (o : Part α) [Decidable o.Dom] : Option α := if h : Dom o then some (o.get h) else none #align part.to_option Part.toOption @[simp] lemma toOption_isSome (o : Part α) [Decidable o.Dom] : o.toOption.isSome ↔ o.Dom := by by_cases h : o.Dom <;> simp [h, toOption] #align part.to_option_is_some Part.toOption_isSome @[simp] lemma toOption_isNone (o : Part α) [Decidable o.Dom] : o.toOption.isNone ↔ ¬o.Dom := by by_cases h : o.Dom <;> simp [h, toOption] #align part.to_option_is_none Part.toOption_isNone theorem ext' : ∀ {o p : Part α}, (o.Dom ↔ p.Dom) → (∀ h₁ h₂, o.get h₁ = p.get h₂) → o = p | ⟨od, o⟩, ⟨pd, p⟩, H1, H2 => by have t : od = pd := propext H1 cases t; rw [show o = p from funext fun p => H2 p p] #align part.ext' Part.ext' @[simp] theorem eta : ∀ o : Part α, (⟨o.Dom, fun h => o.get h⟩ : Part α) = o | ⟨_, _⟩ => rfl #align part.eta Part.eta protected def Mem (a : α) (o : Part α) : Prop := ∃ h, o.get h = a #align part.mem Part.Mem instance : Membership α (Part α) := ⟨Part.Mem⟩ theorem mem_eq (a : α) (o : Part α) : (a ∈ o) = ∃ h, o.get h = a := rfl #align part.mem_eq Part.mem_eq theorem dom_iff_mem : ∀ {o : Part α}, o.Dom ↔ ∃ y, y ∈ o | ⟨_, f⟩ => ⟨fun h => ⟨f h, h, rfl⟩, fun ⟨_, h, rfl⟩ => h⟩ #align part.dom_iff_mem Part.dom_iff_mem theorem get_mem {o : Part α} (h) : get o h ∈ o := ⟨_, rfl⟩ #align part.get_mem Part.get_mem @[simp] theorem mem_mk_iff {p : Prop} {o : p → α} {a : α} : a ∈ Part.mk p o ↔ ∃ h, o h = a := Iff.rfl #align part.mem_mk_iff Part.mem_mk_iff @[ext] theorem ext {o p : Part α} (H : ∀ a, a ∈ o ↔ a ∈ p) : o = p := (ext' ⟨fun h => ((H _).1 ⟨h, rfl⟩).fst, fun h => ((H _).2 ⟨h, rfl⟩).fst⟩) fun _ _ => ((H _).2 ⟨_, rfl⟩).snd #align part.ext Part.ext def none : Part α := ⟨False, False.rec⟩ #align part.none Part.none instance : Inhabited (Part α) := ⟨none⟩ @[simp] theorem not_mem_none (a : α) : a ∉ @none α := fun h => h.fst #align part.not_mem_none Part.not_mem_none def some (a : α) : Part α := ⟨True, fun _ => a⟩ #align part.some Part.some @[simp] theorem some_dom (a : α) : (some a).Dom := trivial #align part.some_dom Part.some_dom theorem mem_unique : ∀ {a b : α} {o : Part α}, a ∈ o → b ∈ o → a = b | _, _, ⟨_, _⟩, ⟨_, rfl⟩, ⟨_, rfl⟩ => rfl #align part.mem_unique Part.mem_unique theorem Mem.left_unique : Relator.LeftUnique ((· ∈ ·) : α → Part α → Prop) := fun _ _ _ => mem_unique #align part.mem.left_unique Part.Mem.left_unique theorem get_eq_of_mem {o : Part α} {a} (h : a ∈ o) (h') : get o h' = a := mem_unique ⟨_, rfl⟩ h #align part.get_eq_of_mem Part.get_eq_of_mem protected theorem subsingleton (o : Part α) : Set.Subsingleton { a | a ∈ o } := fun _ ha _ hb => mem_unique ha hb #align part.subsingleton Part.subsingleton @[simp] theorem get_some {a : α} (ha : (some a).Dom) : get (some a) ha = a := rfl #align part.get_some Part.get_some theorem mem_some (a : α) : a ∈ some a := ⟨trivial, rfl⟩ #align part.mem_some Part.mem_some @[simp] theorem mem_some_iff {a b} : b ∈ (some a : Part α) ↔ b = a := ⟨fun ⟨_, e⟩ => e.symm, fun e => ⟨trivial, e.symm⟩⟩ #align part.mem_some_iff Part.mem_some_iff theorem eq_some_iff {a : α} {o : Part α} : o = some a ↔ a ∈ o := ⟨fun e => e.symm ▸ mem_some _, fun ⟨h, e⟩ => e ▸ ext' (iff_true_intro h) fun _ _ => rfl⟩ #align part.eq_some_iff Part.eq_some_iff theorem eq_none_iff {o : Part α} : o = none ↔ ∀ a, a ∉ o := ⟨fun e => e.symm ▸ not_mem_none, fun h => ext (by simpa)⟩ #align part.eq_none_iff Part.eq_none_iff theorem eq_none_iff' {o : Part α} : o = none ↔ ¬o.Dom := ⟨fun e => e.symm ▸ id, fun h => eq_none_iff.2 fun _ h' => h h'.fst⟩ #align part.eq_none_iff' Part.eq_none_iff' @[simp] theorem not_none_dom : ¬(none : Part α).Dom := id #align part.not_none_dom Part.not_none_dom @[simp] theorem some_ne_none (x : α) : some x ≠ none := by intro h exact true_ne_false (congr_arg Dom h) #align part.some_ne_none Part.some_ne_none @[simp] theorem none_ne_some (x : α) : none ≠ some x := (some_ne_none x).symm #align part.none_ne_some Part.none_ne_some theorem ne_none_iff {o : Part α} : o ≠ none ↔ ∃ x, o = some x := by constructor · rw [Ne, eq_none_iff', not_not] exact fun h => ⟨o.get h, eq_some_iff.2 (get_mem h)⟩ · rintro ⟨x, rfl⟩ apply some_ne_none #align part.ne_none_iff Part.ne_none_iff theorem eq_none_or_eq_some (o : Part α) : o = none ∨ ∃ x, o = some x := or_iff_not_imp_left.2 ne_none_iff.1 #align part.eq_none_or_eq_some Part.eq_none_or_eq_some theorem some_injective : Injective (@Part.some α) := fun _ _ h => congr_fun (eq_of_heq (Part.mk.inj h).2) trivial #align part.some_injective Part.some_injective @[simp] theorem some_inj {a b : α} : Part.some a = some b ↔ a = b := some_injective.eq_iff #align part.some_inj Part.some_inj @[simp] theorem some_get {a : Part α} (ha : a.Dom) : Part.some (Part.get a ha) = a := Eq.symm (eq_some_iff.2 ⟨ha, rfl⟩) #align part.some_get Part.some_get theorem get_eq_iff_eq_some {a : Part α} {ha : a.Dom} {b : α} : a.get ha = b ↔ a = some b := ⟨fun h => by simp [h.symm], fun h => by simp [h]⟩ #align part.get_eq_iff_eq_some Part.get_eq_iff_eq_some theorem get_eq_get_of_eq (a : Part α) (ha : a.Dom) {b : Part α} (h : a = b) : a.get ha = b.get (h ▸ ha) := by congr #align part.get_eq_get_of_eq Part.get_eq_get_of_eq theorem get_eq_iff_mem {o : Part α} {a : α} (h : o.Dom) : o.get h = a ↔ a ∈ o := ⟨fun H => ⟨h, H⟩, fun ⟨_, H⟩ => H⟩ #align part.get_eq_iff_mem Part.get_eq_iff_mem theorem eq_get_iff_mem {o : Part α} {a : α} (h : o.Dom) : a = o.get h ↔ a ∈ o := eq_comm.trans (get_eq_iff_mem h) #align part.eq_get_iff_mem Part.eq_get_iff_mem @[simp] theorem none_toOption [Decidable (@none α).Dom] : (none : Part α).toOption = Option.none := dif_neg id #align part.none_to_option Part.none_toOption @[simp] theorem some_toOption (a : α) [Decidable (some a).Dom] : (some a).toOption = Option.some a := dif_pos trivial #align part.some_to_option Part.some_toOption instance noneDecidable : Decidable (@none α).Dom := instDecidableFalse #align part.none_decidable Part.noneDecidable instance someDecidable (a : α) : Decidable (some a).Dom := instDecidableTrue #align part.some_decidable Part.someDecidable def getOrElse (a : Part α) [Decidable a.Dom] (d : α) := if ha : a.Dom then a.get ha else d #align part.get_or_else Part.getOrElse theorem getOrElse_of_dom (a : Part α) (h : a.Dom) [Decidable a.Dom] (d : α) : getOrElse a d = a.get h := dif_pos h #align part.get_or_else_of_dom Part.getOrElse_of_dom theorem getOrElse_of_not_dom (a : Part α) (h : ¬a.Dom) [Decidable a.Dom] (d : α) : getOrElse a d = d := dif_neg h #align part.get_or_else_of_not_dom Part.getOrElse_of_not_dom @[simp] theorem getOrElse_none (d : α) [Decidable (none : Part α).Dom] : getOrElse none d = d := none.getOrElse_of_not_dom not_none_dom d #align part.get_or_else_none Part.getOrElse_none @[simp] theorem getOrElse_some (a : α) (d : α) [Decidable (some a).Dom] : getOrElse (some a) d = a := (some a).getOrElse_of_dom (some_dom a) d #align part.get_or_else_some Part.getOrElse_some -- Porting note: removed `simp` theorem mem_toOption {o : Part α} [Decidable o.Dom] {a : α} : a ∈ toOption o ↔ a ∈ o := by unfold toOption by_cases h : o.Dom <;> simp [h] · exact ⟨fun h => ⟨_, h⟩, fun ⟨_, h⟩ => h⟩ · exact mt Exists.fst h #align part.mem_to_option Part.mem_toOption -- Porting note (#10756): new theorem, like `mem_toOption` but with LHS in `simp` normal form @[simp] theorem toOption_eq_some_iff {o : Part α} [Decidable o.Dom] {a : α} : toOption o = Option.some a ↔ a ∈ o := by rw [← Option.mem_def, mem_toOption] protected theorem Dom.toOption {o : Part α} [Decidable o.Dom] (h : o.Dom) : o.toOption = o.get h := dif_pos h #align part.dom.to_option Part.Dom.toOption theorem toOption_eq_none_iff {a : Part α} [Decidable a.Dom] : a.toOption = Option.none ↔ ¬a.Dom := Ne.dite_eq_right_iff fun _ => Option.some_ne_none _ #align part.to_option_eq_none_iff Part.toOption_eq_none_iff theorem elim_toOption {α β : Type*} (a : Part α) [Decidable a.Dom] (b : β) (f : α → β) : a.toOption.elim b f = if h : a.Dom then f (a.get h) else b := by split_ifs with h · rw [h.toOption] rfl · rw [Part.toOption_eq_none_iff.2 h] rfl #align part.elim_to_option Part.elim_toOption @[coe] def ofOption : Option α → Part α | Option.none => none | Option.some a => some a #align part.of_option Part.ofOption @[simp] theorem mem_ofOption {a : α} : ∀ {o : Option α}, a ∈ ofOption o ↔ a ∈ o | Option.none => ⟨fun h => h.fst.elim, fun h => Option.noConfusion h⟩ | Option.some _ => ⟨fun h => congr_arg Option.some h.snd, fun h => ⟨trivial, Option.some.inj h⟩⟩ #align part.mem_of_option Part.mem_ofOption @[simp] theorem ofOption_dom {α} : ∀ o : Option α, (ofOption o).Dom ↔ o.isSome | Option.none => by simp [ofOption, none] | Option.some a => by simp [ofOption] #align part.of_option_dom Part.ofOption_dom theorem ofOption_eq_get {α} (o : Option α) : ofOption o = ⟨_, @Option.get _ o⟩ := Part.ext' (ofOption_dom o) fun h₁ h₂ => by cases o · simp at h₂ · rfl #align part.of_option_eq_get Part.ofOption_eq_get instance : Coe (Option α) (Part α) := ⟨ofOption⟩ theorem mem_coe {a : α} {o : Option α} : a ∈ (o : Part α) ↔ a ∈ o := mem_ofOption #align part.mem_coe Part.mem_coe @[simp] theorem coe_none : (@Option.none α : Part α) = none := rfl #align part.coe_none Part.coe_none @[simp] theorem coe_some (a : α) : (Option.some a : Part α) = some a := rfl #align part.coe_some Part.coe_some @[elab_as_elim] protected theorem induction_on {P : Part α → Prop} (a : Part α) (hnone : P none) (hsome : ∀ a : α, P (some a)) : P a := (Classical.em a.Dom).elim (fun h => Part.some_get h ▸ hsome _) fun h => (eq_none_iff'.2 h).symm ▸ hnone #align part.induction_on Part.induction_on instance ofOptionDecidable : ∀ o : Option α, Decidable (ofOption o).Dom | Option.none => Part.noneDecidable | Option.some a => Part.someDecidable a #align part.of_option_decidable Part.ofOptionDecidable @[simp] theorem to_ofOption (o : Option α) : toOption (ofOption o) = o := by cases o <;> rfl #align part.to_of_option Part.to_ofOption @[simp] theorem of_toOption (o : Part α) [Decidable o.Dom] : ofOption (toOption o) = o := ext fun _ => mem_ofOption.trans mem_toOption #align part.of_to_option Part.of_toOption noncomputable def equivOption : Part α ≃ Option α := haveI := Classical.dec ⟨fun o => toOption o, ofOption, fun o => of_toOption o, fun o => Eq.trans (by dsimp; congr) (to_ofOption o)⟩ #align part.equiv_option Part.equivOption instance : PartialOrder (Part α) where le x y := ∀ i, i ∈ x → i ∈ y le_refl x y := id le_trans x y z f g i := g _ ∘ f _ le_antisymm x y f g := Part.ext fun z => ⟨f _, g _⟩ instance : OrderBot (Part α) where bot := none bot_le := by rintro x _ ⟨⟨_⟩, _⟩ theorem le_total_of_le_of_le {x y : Part α} (z : Part α) (hx : x ≤ z) (hy : y ≤ z) : x ≤ y ∨ y ≤ x := by rcases Part.eq_none_or_eq_some x with (h | ⟨b, h₀⟩) · rw [h] left apply OrderBot.bot_le _ right; intro b' h₁ rw [Part.eq_some_iff] at h₀ have hx := hx _ h₀; have hy := hy _ h₁ have hx := Part.mem_unique hx hy; subst hx exact h₀ #align part.le_total_of_le_of_le Part.le_total_of_le_of_le def assert (p : Prop) (f : p → Part α) : Part α := ⟨∃ h : p, (f h).Dom, fun ha => (f ha.fst).get ha.snd⟩ #align part.assert Part.assert protected def bind (f : Part α) (g : α → Part β) : Part β := assert (Dom f) fun b => g (f.get b) #align part.bind Part.bind @[simps] def map (f : α → β) (o : Part α) : Part β := ⟨o.Dom, f ∘ o.get⟩ #align part.map Part.map #align part.map_dom Part.map_Dom #align part.map_get Part.map_get theorem mem_map (f : α → β) {o : Part α} : ∀ {a}, a ∈ o → f a ∈ map f o | _, ⟨_, rfl⟩ => ⟨_, rfl⟩ #align part.mem_map Part.mem_map @[simp] theorem mem_map_iff (f : α → β) {o : Part α} {b} : b ∈ map f o ↔ ∃ a ∈ o, f a = b := ⟨fun hb => match b, hb with | _, ⟨_, rfl⟩ => ⟨_, ⟨_, rfl⟩, rfl⟩, fun ⟨_, h₁, h₂⟩ => h₂ ▸ mem_map f h₁⟩ #align part.mem_map_iff Part.mem_map_iff @[simp] theorem map_none (f : α → β) : map f none = none := eq_none_iff.2 fun a => by simp #align part.map_none Part.map_none @[simp] theorem map_some (f : α → β) (a : α) : map f (some a) = some (f a) := eq_some_iff.2 <| mem_map f <| mem_some _ #align part.map_some Part.map_some theorem mem_assert {p : Prop} {f : p → Part α} : ∀ {a} (h : p), a ∈ f h → a ∈ assert p f | _, x, ⟨h, rfl⟩ => ⟨⟨x, h⟩, rfl⟩ #align part.mem_assert Part.mem_assert @[simp] theorem mem_assert_iff {p : Prop} {f : p → Part α} {a} : a ∈ assert p f ↔ ∃ h : p, a ∈ f h := ⟨fun ha => match a, ha with | _, ⟨_, rfl⟩ => ⟨_, ⟨_, rfl⟩⟩, fun ⟨_, h⟩ => mem_assert _ h⟩ #align part.mem_assert_iff Part.mem_assert_iff theorem assert_pos {p : Prop} {f : p → Part α} (h : p) : assert p f = f h := by dsimp [assert] cases h' : f h simp only [h', mk.injEq, h, exists_prop_of_true, true_and] apply Function.hfunext · simp only [h, h', exists_prop_of_true] · aesop #align part.assert_pos Part.assert_pos theorem assert_neg {p : Prop} {f : p → Part α} (h : ¬p) : assert p f = none := by dsimp [assert, none]; congr · simp only [h, not_false_iff, exists_prop_of_false] · apply Function.hfunext · simp only [h, not_false_iff, exists_prop_of_false] simp at * #align part.assert_neg Part.assert_neg theorem mem_bind {f : Part α} {g : α → Part β} : ∀ {a b}, a ∈ f → b ∈ g a → b ∈ f.bind g | _, _, ⟨h, rfl⟩, ⟨h₂, rfl⟩ => ⟨⟨h, h₂⟩, rfl⟩ #align part.mem_bind Part.mem_bind @[simp] theorem mem_bind_iff {f : Part α} {g : α → Part β} {b} : b ∈ f.bind g ↔ ∃ a ∈ f, b ∈ g a := ⟨fun hb => match b, hb with | _, ⟨⟨_, _⟩, rfl⟩ => ⟨_, ⟨_, rfl⟩, ⟨_, rfl⟩⟩, fun ⟨_, h₁, h₂⟩ => mem_bind h₁ h₂⟩ #align part.mem_bind_iff Part.mem_bind_iff protected theorem Dom.bind {o : Part α} (h : o.Dom) (f : α → Part β) : o.bind f = f (o.get h) := by ext b simp only [Part.mem_bind_iff, exists_prop] refine ⟨?_, fun hb => ⟨o.get h, Part.get_mem _, hb⟩⟩ rintro ⟨a, ha, hb⟩ rwa [Part.get_eq_of_mem ha] #align part.dom.bind Part.Dom.bind theorem Dom.of_bind {f : α → Part β} {a : Part α} (h : (a.bind f).Dom) : a.Dom := h.1 #align part.dom.of_bind Part.Dom.of_bind @[simp] theorem bind_none (f : α → Part β) : none.bind f = none := eq_none_iff.2 fun a => by simp #align part.bind_none Part.bind_none @[simp] theorem bind_some (a : α) (f : α → Part β) : (some a).bind f = f a := ext <| by simp #align part.bind_some Part.bind_some theorem bind_of_mem {o : Part α} {a : α} (h : a ∈ o) (f : α → Part β) : o.bind f = f a := by rw [eq_some_iff.2 h, bind_some] #align part.bind_of_mem Part.bind_of_mem theorem bind_some_eq_map (f : α → β) (x : Part α) : x.bind (some ∘ f) = map f x := ext <| by simp [eq_comm] #align part.bind_some_eq_map Part.bind_some_eq_map theorem bind_toOption (f : α → Part β) (o : Part α) [Decidable o.Dom] [∀ a, Decidable (f a).Dom] [Decidable (o.bind f).Dom] : (o.bind f).toOption = o.toOption.elim Option.none fun a => (f a).toOption := by by_cases h : o.Dom · simp_rw [h.toOption, h.bind] rfl · rw [Part.toOption_eq_none_iff.2 h] exact Part.toOption_eq_none_iff.2 fun ho => h ho.of_bind #align part.bind_to_option Part.bind_toOption theorem bind_assoc {γ} (f : Part α) (g : α → Part β) (k : β → Part γ) : (f.bind g).bind k = f.bind fun x => (g x).bind k := ext fun a => by simp only [mem_bind_iff] exact ⟨fun ⟨_, ⟨_, h₁, h₂⟩, h₃⟩ => ⟨_, h₁, _, h₂, h₃⟩, fun ⟨_, h₁, _, h₂, h₃⟩ => ⟨_, ⟨_, h₁, h₂⟩, h₃⟩⟩ #align part.bind_assoc Part.bind_assoc @[simp] theorem bind_map {γ} (f : α → β) (x) (g : β → Part γ) : (map f x).bind g = x.bind fun y => g (f y) := by rw [← bind_some_eq_map, bind_assoc]; simp #align part.bind_map Part.bind_map @[simp] theorem map_bind {γ} (f : α → Part β) (x : Part α) (g : β → γ) : map g (x.bind f) = x.bind fun y => map g (f y) := by rw [← bind_some_eq_map, bind_assoc]; simp [bind_some_eq_map] #align part.map_bind Part.map_bind theorem map_map (g : β → γ) (f : α → β) (o : Part α) : map g (map f o) = map (g ∘ f) o := by erw [← bind_some_eq_map, bind_map, bind_some_eq_map] #align part.map_map Part.map_map instance : Monad Part where pure := @some map := @map bind := @Part.bind instance : LawfulMonad Part where bind_pure_comp := @bind_some_eq_map id_map f := by cases f; rfl pure_bind := @bind_some bind_assoc := @bind_assoc map_const := by simp [Functor.mapConst, Functor.map] --Porting TODO : In Lean3 these were automatic by a tactic seqLeft_eq x y := ext' (by simp [SeqLeft.seqLeft, Part.bind, assert, Seq.seq, const, (· <$> ·), and_comm]) (fun _ _ => rfl) seqRight_eq x y := ext' (by simp [SeqRight.seqRight, Part.bind, assert, Seq.seq, const, (· <$> ·), and_comm]) (fun _ _ => rfl) pure_seq x y := ext' (by simp [Seq.seq, Part.bind, assert, (· <$> ·), pure]) (fun _ _ => rfl) bind_map x y := ext' (by simp [(· >>= ·), Part.bind, assert, Seq.seq, get, (· <$> ·)] ) (fun _ _ => rfl) theorem map_id' {f : α → α} (H : ∀ x : α, f x = x) (o) : map f o = o := by rw [show f = id from funext H]; exact id_map o #align part.map_id' Part.map_id' @[simp] theorem bind_some_right (x : Part α) : x.bind some = x := by erw [bind_some_eq_map]; simp [map_id'] #align part.bind_some_right Part.bind_some_right @[simp] theorem pure_eq_some (a : α) : pure a = some a := rfl #align part.pure_eq_some Part.pure_eq_some @[simp] theorem ret_eq_some (a : α) : (return a : Part α) = some a := rfl #align part.ret_eq_some Part.ret_eq_some @[simp] theorem map_eq_map {α β} (f : α → β) (o : Part α) : f <$> o = map f o := rfl #align part.map_eq_map Part.map_eq_map @[simp] theorem bind_eq_bind {α β} (f : Part α) (g : α → Part β) : f >>= g = f.bind g := rfl #align part.bind_eq_bind Part.bind_eq_bind theorem bind_le {α} (x : Part α) (f : α → Part β) (y : Part β) : x >>= f ≤ y ↔ ∀ a, a ∈ x → f a ≤ y := by constructor <;> intro h · intro a h' b have h := h b simp only [and_imp, exists_prop, bind_eq_bind, mem_bind_iff, exists_imp] at h apply h _ h' · intro b h' simp only [exists_prop, bind_eq_bind, mem_bind_iff] at h' rcases h' with ⟨a, h₀, h₁⟩ apply h _ h₀ _ h₁ #align part.bind_le Part.bind_le -- Porting note: No MonadFail in Lean4 yet -- instance : MonadFail Part := -- { Part.monad with fail := fun _ _ => none } def restrict (p : Prop) (o : Part α) (H : p → o.Dom) : Part α := ⟨p, fun h => o.get (H h)⟩ #align part.restrict Part.restrict @[simp] theorem mem_restrict (p : Prop) (o : Part α) (h : p → o.Dom) (a : α) : a ∈ restrict p o h ↔ p ∧ a ∈ o := by dsimp [restrict, mem_eq]; constructor · rintro ⟨h₀, h₁⟩ exact ⟨h₀, ⟨_, h₁⟩⟩ rintro ⟨h₀, _, h₂⟩; exact ⟨h₀, h₂⟩ #align part.mem_restrict Part.mem_restrict unsafe def unwrap (o : Part α) : α := o.get lcProof #align part.unwrap Part.unwrap theorem assert_defined {p : Prop} {f : p → Part α} : ∀ h : p, (f h).Dom → (assert p f).Dom := Exists.intro #align part.assert_defined Part.assert_defined theorem bind_defined {f : Part α} {g : α → Part β} : ∀ h : f.Dom, (g (f.get h)).Dom → (f.bind g).Dom := assert_defined #align part.bind_defined Part.bind_defined @[simp] theorem bind_dom {f : Part α} {g : α → Part β} : (f.bind g).Dom ↔ ∃ h : f.Dom, (g (f.get h)).Dom := Iff.rfl #align part.bind_dom Part.bind_dom section Instances @[to_additive] instance [One α] : One (Part α) where one := pure 1 @[to_additive] instance [Mul α] : Mul (Part α) where mul a b := (· * ·) <$> a <*> b @[to_additive] instance [Inv α] : Inv (Part α) where inv := map Inv.inv @[to_additive] instance [Div α] : Div (Part α) where div a b := (· / ·) <$> a <*> b instance [Mod α] : Mod (Part α) where mod a b := (· % ·) <$> a <*> b instance [Append α] : Append (Part α) where append a b := (· ++ ·) <$> a <*> b instance [Inter α] : Inter (Part α) where inter a b := (· ∩ ·) <$> a <*> b instance [Union α] : Union (Part α) where union a b := (· ∪ ·) <$> a <*> b instance [SDiff α] : SDiff (Part α) where sdiff a b := (· \ ·) <$> a <*> b section -- Porting note (#10756): new theorems to unfold definitions theorem mul_def [Mul α] (a b : Part α) : a * b = bind a fun y ↦ map (y * ·) b := rfl theorem one_def [One α] : (1 : Part α) = some 1 := rfl theorem inv_def [Inv α] (a : Part α) : a⁻¹ = Part.map (· ⁻¹) a := rfl theorem div_def [Div α] (a b : Part α) : a / b = bind a fun y => map (y / ·) b := rfl theorem mod_def [Mod α] (a b : Part α) : a % b = bind a fun y => map (y % ·) b := rfl theorem append_def [Append α] (a b : Part α) : a ++ b = bind a fun y => map (y ++ ·) b := rfl theorem inter_def [Inter α] (a b : Part α) : a ∩ b = bind a fun y => map (y ∩ ·) b := rfl theorem union_def [Union α] (a b : Part α) : a ∪ b = bind a fun y => map (y ∪ ·) b := rfl theorem sdiff_def [SDiff α] (a b : Part α) : a \ b = bind a fun y => map (y \ ·) b := rfl end @[to_additive] theorem one_mem_one [One α] : (1 : α) ∈ (1 : Part α) := ⟨trivial, rfl⟩ #align part.one_mem_one Part.one_mem_one #align part.zero_mem_zero Part.zero_mem_zero @[to_additive] theorem mul_mem_mul [Mul α] (a b : Part α) (ma mb : α) (ha : ma ∈ a) (hb : mb ∈ b) : ma * mb ∈ a * b := ⟨⟨ha.1, hb.1⟩, by simp only [← ha.2, ← hb.2]; rfl⟩ #align part.mul_mem_mul Part.mul_mem_mul #align part.add_mem_add Part.add_mem_add @[to_additive] theorem left_dom_of_mul_dom [Mul α] {a b : Part α} (hab : Dom (a * b)) : a.Dom := hab.1 #align part.left_dom_of_mul_dom Part.left_dom_of_mul_dom #align part.left_dom_of_add_dom Part.left_dom_of_add_dom @[to_additive] theorem right_dom_of_mul_dom [Mul α] {a b : Part α} (hab : Dom (a * b)) : b.Dom := hab.2 #align part.right_dom_of_mul_dom Part.right_dom_of_mul_dom #align part.right_dom_of_add_dom Part.right_dom_of_add_dom @[to_additive (attr := simp)] theorem mul_get_eq [Mul α] (a b : Part α) (hab : Dom (a * b)) : (a * b).get hab = a.get (left_dom_of_mul_dom hab) * b.get (right_dom_of_mul_dom hab) := rfl #align part.mul_get_eq Part.mul_get_eq #align part.add_get_eq Part.add_get_eq @[to_additive] theorem some_mul_some [Mul α] (a b : α) : some a * some b = some (a * b) := by simp [mul_def] #align part.some_mul_some Part.some_mul_some #align part.some_add_some Part.some_add_some @[to_additive] theorem inv_mem_inv [Inv α] (a : Part α) (ma : α) (ha : ma ∈ a) : ma⁻¹ ∈ a⁻¹ := by simp [inv_def]; aesop #align part.inv_mem_inv Part.inv_mem_inv #align part.neg_mem_neg Part.neg_mem_neg @[to_additive] theorem inv_some [Inv α] (a : α) : (some a)⁻¹ = some a⁻¹ := rfl #align part.inv_some Part.inv_some #align part.neg_some Part.neg_some @[to_additive] theorem div_mem_div [Div α] (a b : Part α) (ma mb : α) (ha : ma ∈ a) (hb : mb ∈ b) : ma / mb ∈ a / b := by simp [div_def]; aesop #align part.div_mem_div Part.div_mem_div #align part.sub_mem_sub Part.sub_mem_sub @[to_additive] theorem left_dom_of_div_dom [Div α] {a b : Part α} (hab : Dom (a / b)) : a.Dom := hab.1 #align part.left_dom_of_div_dom Part.left_dom_of_div_dom #align part.left_dom_of_sub_dom Part.left_dom_of_sub_dom @[to_additive] theorem right_dom_of_div_dom [Div α] {a b : Part α} (hab : Dom (a / b)) : b.Dom := hab.2 #align part.right_dom_of_div_dom Part.right_dom_of_div_dom #align part.right_dom_of_sub_dom Part.right_dom_of_sub_dom @[to_additive (attr := simp)] theorem div_get_eq [Div α] (a b : Part α) (hab : Dom (a / b)) : (a / b).get hab = a.get (left_dom_of_div_dom hab) / b.get (right_dom_of_div_dom hab) := by simp [div_def]; aesop #align part.div_get_eq Part.div_get_eq #align part.sub_get_eq Part.sub_get_eq @[to_additive] theorem some_div_some [Div α] (a b : α) : some a / some b = some (a / b) := by simp [div_def] #align part.some_div_some Part.some_div_some #align part.some_sub_some Part.some_sub_some theorem mod_mem_mod [Mod α] (a b : Part α) (ma mb : α) (ha : ma ∈ a) (hb : mb ∈ b) : ma % mb ∈ a % b := by simp [mod_def]; aesop #align part.mod_mem_mod Part.mod_mem_mod theorem left_dom_of_mod_dom [Mod α] {a b : Part α} (hab : Dom (a % b)) : a.Dom := hab.1 #align part.left_dom_of_mod_dom Part.left_dom_of_mod_dom theorem right_dom_of_mod_dom [Mod α] {a b : Part α} (hab : Dom (a % b)) : b.Dom := hab.2 #align part.right_dom_of_mod_dom Part.right_dom_of_mod_dom @[simp] theorem mod_get_eq [Mod α] (a b : Part α) (hab : Dom (a % b)) : (a % b).get hab = a.get (left_dom_of_mod_dom hab) % b.get (right_dom_of_mod_dom hab) := by simp [mod_def]; aesop #align part.mod_get_eq Part.mod_get_eq theorem some_mod_some [Mod α] (a b : α) : some a % some b = some (a % b) := by simp [mod_def] #align part.some_mod_some Part.some_mod_some theorem append_mem_append [Append α] (a b : Part α) (ma mb : α) (ha : ma ∈ a) (hb : mb ∈ b) : ma ++ mb ∈ a ++ b := by simp [append_def]; aesop #align part.append_mem_append Part.append_mem_append theorem left_dom_of_append_dom [Append α] {a b : Part α} (hab : Dom (a ++ b)) : a.Dom := hab.1 #align part.left_dom_of_append_dom Part.left_dom_of_append_dom theorem right_dom_of_append_dom [Append α] {a b : Part α} (hab : Dom (a ++ b)) : b.Dom := hab.2 #align part.right_dom_of_append_dom Part.right_dom_of_append_dom @[simp] theorem append_get_eq [Append α] (a b : Part α) (hab : Dom (a ++ b)) : (a ++ b).get hab = a.get (left_dom_of_append_dom hab) ++ b.get (right_dom_of_append_dom hab) := by simp [append_def]; aesop #align part.append_get_eq Part.append_get_eq theorem some_append_some [Append α] (a b : α) : some a ++ some b = some (a ++ b) := by simp [append_def] #align part.some_append_some Part.some_append_some theorem inter_mem_inter [Inter α] (a b : Part α) (ma mb : α) (ha : ma ∈ a) (hb : mb ∈ b) : ma ∩ mb ∈ a ∩ b := by simp [inter_def]; aesop #align part.inter_mem_inter Part.inter_mem_inter theorem left_dom_of_inter_dom [Inter α] {a b : Part α} (hab : Dom (a ∩ b)) : a.Dom := hab.1 #align part.left_dom_of_inter_dom Part.left_dom_of_inter_dom theorem right_dom_of_inter_dom [Inter α] {a b : Part α} (hab : Dom (a ∩ b)) : b.Dom := hab.2 #align part.right_dom_of_inter_dom Part.right_dom_of_inter_dom @[simp] theorem inter_get_eq [Inter α] (a b : Part α) (hab : Dom (a ∩ b)) : (a ∩ b).get hab = a.get (left_dom_of_inter_dom hab) ∩ b.get (right_dom_of_inter_dom hab) := by simp [inter_def]; aesop #align part.inter_get_eq Part.inter_get_eq theorem some_inter_some [Inter α] (a b : α) : some a ∩ some b = some (a ∩ b) := by simp [inter_def] #align part.some_inter_some Part.some_inter_some
Mathlib/Data/Part.lean
843
844
theorem union_mem_union [Union α] (a b : Part α) (ma mb : α) (ha : ma ∈ a) (hb : mb ∈ b) : ma ∪ mb ∈ a ∪ b := by
simp [union_def]; aesop
import Mathlib.Algebra.Group.Indicator import Mathlib.Algebra.Group.Submonoid.Basic import Mathlib.Data.Set.Finite #align_import data.finsupp.defs from "leanprover-community/mathlib"@"842328d9df7e96fd90fc424e115679c15fb23a71" noncomputable section open Finset Function variable {α β γ ι M M' N P G H R S : Type*} structure Finsupp (α : Type*) (M : Type*) [Zero M] where support : Finset α toFun : α → M mem_support_toFun : ∀ a, a ∈ support ↔ toFun a ≠ 0 #align finsupp Finsupp #align finsupp.support Finsupp.support #align finsupp.to_fun Finsupp.toFun #align finsupp.mem_support_to_fun Finsupp.mem_support_toFun @[inherit_doc] infixr:25 " →₀ " => Finsupp namespace Finsupp section Basic variable [Zero M] instance instFunLike : FunLike (α →₀ M) α M := ⟨toFun, by rintro ⟨s, f, hf⟩ ⟨t, g, hg⟩ (rfl : f = g) congr ext a exact (hf _).trans (hg _).symm⟩ #align finsupp.fun_like Finsupp.instFunLike instance instCoeFun : CoeFun (α →₀ M) fun _ => α → M := inferInstance #align finsupp.has_coe_to_fun Finsupp.instCoeFun @[ext] theorem ext {f g : α →₀ M} (h : ∀ a, f a = g a) : f = g := DFunLike.ext _ _ h #align finsupp.ext Finsupp.ext #align finsupp.ext_iff DFunLike.ext_iff lemma ne_iff {f g : α →₀ M} : f ≠ g ↔ ∃ a, f a ≠ g a := DFunLike.ne_iff #align finsupp.coe_fn_inj DFunLike.coe_fn_eq #align finsupp.coe_fn_injective DFunLike.coe_injective #align finsupp.congr_fun DFunLike.congr_fun @[simp, norm_cast] theorem coe_mk (f : α → M) (s : Finset α) (h : ∀ a, a ∈ s ↔ f a ≠ 0) : ⇑(⟨s, f, h⟩ : α →₀ M) = f := rfl #align finsupp.coe_mk Finsupp.coe_mk instance instZero : Zero (α →₀ M) := ⟨⟨∅, 0, fun _ => ⟨fun h ↦ (not_mem_empty _ h).elim, fun H => (H rfl).elim⟩⟩⟩ #align finsupp.has_zero Finsupp.instZero @[simp, norm_cast] lemma coe_zero : ⇑(0 : α →₀ M) = 0 := rfl #align finsupp.coe_zero Finsupp.coe_zero theorem zero_apply {a : α} : (0 : α →₀ M) a = 0 := rfl #align finsupp.zero_apply Finsupp.zero_apply @[simp] theorem support_zero : (0 : α →₀ M).support = ∅ := rfl #align finsupp.support_zero Finsupp.support_zero instance instInhabited : Inhabited (α →₀ M) := ⟨0⟩ #align finsupp.inhabited Finsupp.instInhabited @[simp] theorem mem_support_iff {f : α →₀ M} : ∀ {a : α}, a ∈ f.support ↔ f a ≠ 0 := @(f.mem_support_toFun) #align finsupp.mem_support_iff Finsupp.mem_support_iff @[simp, norm_cast] theorem fun_support_eq (f : α →₀ M) : Function.support f = f.support := Set.ext fun _x => mem_support_iff.symm #align finsupp.fun_support_eq Finsupp.fun_support_eq theorem not_mem_support_iff {f : α →₀ M} {a} : a ∉ f.support ↔ f a = 0 := not_iff_comm.1 mem_support_iff.symm #align finsupp.not_mem_support_iff Finsupp.not_mem_support_iff @[simp, norm_cast]
Mathlib/Data/Finsupp/Defs.lean
185
185
theorem coe_eq_zero {f : α →₀ M} : (f : α → M) = 0 ↔ f = 0 := by
rw [← coe_zero, DFunLike.coe_fn_eq]
import Mathlib.RingTheory.IntegralClosure import Mathlib.RingTheory.FractionalIdeal.Basic #align_import ring_theory.fractional_ideal from "leanprover-community/mathlib"@"ed90a7d327c3a5caf65a6faf7e8a0d63c4605df7" open IsLocalization Pointwise nonZeroDivisors namespace FractionalIdeal open Set Submodule variable {R : Type*} [CommRing R] {S : Submonoid R} {P : Type*} [CommRing P] variable [Algebra R P] [loc : IsLocalization S P] section variable {P' : Type*} [CommRing P'] [Algebra R P'] [loc' : IsLocalization S P'] variable {P'' : Type*} [CommRing P''] [Algebra R P''] [loc'' : IsLocalization S P''] theorem _root_.IsFractional.map (g : P →ₐ[R] P') {I : Submodule R P} : IsFractional S I → IsFractional S (Submodule.map g.toLinearMap I) | ⟨a, a_nonzero, hI⟩ => ⟨a, a_nonzero, fun b hb => by obtain ⟨b', b'_mem, hb'⟩ := Submodule.mem_map.mp hb rw [AlgHom.toLinearMap_apply] at hb' obtain ⟨x, hx⟩ := hI b' b'_mem use x rw [← g.commutes, hx, g.map_smul, hb']⟩ #align is_fractional.map IsFractional.map def map (g : P →ₐ[R] P') : FractionalIdeal S P → FractionalIdeal S P' := fun I => ⟨Submodule.map g.toLinearMap I, I.isFractional.map g⟩ #align fractional_ideal.map FractionalIdeal.map @[simp, norm_cast] theorem coe_map (g : P →ₐ[R] P') (I : FractionalIdeal S P) : ↑(map g I) = Submodule.map g.toLinearMap I := rfl #align fractional_ideal.coe_map FractionalIdeal.coe_map @[simp] theorem mem_map {I : FractionalIdeal S P} {g : P →ₐ[R] P'} {y : P'} : y ∈ I.map g ↔ ∃ x, x ∈ I ∧ g x = y := Submodule.mem_map #align fractional_ideal.mem_map FractionalIdeal.mem_map variable (I J : FractionalIdeal S P) (g : P →ₐ[R] P') @[simp] theorem map_id : I.map (AlgHom.id _ _) = I := coeToSubmodule_injective (Submodule.map_id (I : Submodule R P)) #align fractional_ideal.map_id FractionalIdeal.map_id @[simp] theorem map_comp (g' : P' →ₐ[R] P'') : I.map (g'.comp g) = (I.map g).map g' := coeToSubmodule_injective (Submodule.map_comp g.toLinearMap g'.toLinearMap I) #align fractional_ideal.map_comp FractionalIdeal.map_comp @[simp, norm_cast] theorem map_coeIdeal (I : Ideal R) : (I : FractionalIdeal S P).map g = I := by ext x simp only [mem_coeIdeal] constructor · rintro ⟨_, ⟨y, hy, rfl⟩, rfl⟩ exact ⟨y, hy, (g.commutes y).symm⟩ · rintro ⟨y, hy, rfl⟩ exact ⟨_, ⟨y, hy, rfl⟩, g.commutes y⟩ #align fractional_ideal.map_coe_ideal FractionalIdeal.map_coeIdeal @[simp] theorem map_one : (1 : FractionalIdeal S P).map g = 1 := map_coeIdeal g ⊤ #align fractional_ideal.map_one FractionalIdeal.map_one @[simp] theorem map_zero : (0 : FractionalIdeal S P).map g = 0 := map_coeIdeal g 0 #align fractional_ideal.map_zero FractionalIdeal.map_zero @[simp] theorem map_add : (I + J).map g = I.map g + J.map g := coeToSubmodule_injective (Submodule.map_sup _ _ _) #align fractional_ideal.map_add FractionalIdeal.map_add @[simp] theorem map_mul : (I * J).map g = I.map g * J.map g := by simp only [mul_def] exact coeToSubmodule_injective (Submodule.map_mul _ _ _) #align fractional_ideal.map_mul FractionalIdeal.map_mul @[simp] theorem map_map_symm (g : P ≃ₐ[R] P') : (I.map (g : P →ₐ[R] P')).map (g.symm : P' →ₐ[R] P) = I := by rw [← map_comp, g.symm_comp, map_id] #align fractional_ideal.map_map_symm FractionalIdeal.map_map_symm @[simp] theorem map_symm_map (I : FractionalIdeal S P') (g : P ≃ₐ[R] P') : (I.map (g.symm : P' →ₐ[R] P)).map (g : P →ₐ[R] P') = I := by rw [← map_comp, g.comp_symm, map_id] #align fractional_ideal.map_symm_map FractionalIdeal.map_symm_map theorem map_mem_map {f : P →ₐ[R] P'} (h : Function.Injective f) {x : P} {I : FractionalIdeal S P} : f x ∈ map f I ↔ x ∈ I := mem_map.trans ⟨fun ⟨_, hx', x'_eq⟩ => h x'_eq ▸ hx', fun h => ⟨x, h, rfl⟩⟩ #align fractional_ideal.map_mem_map FractionalIdeal.map_mem_map theorem map_injective (f : P →ₐ[R] P') (h : Function.Injective f) : Function.Injective (map f : FractionalIdeal S P → FractionalIdeal S P') := fun _ _ hIJ => ext fun _ => (map_mem_map h).symm.trans (hIJ.symm ▸ map_mem_map h) #align fractional_ideal.map_injective FractionalIdeal.map_injective def mapEquiv (g : P ≃ₐ[R] P') : FractionalIdeal S P ≃+* FractionalIdeal S P' where toFun := map g invFun := map g.symm map_add' I J := map_add I J _ map_mul' I J := map_mul I J _ left_inv I := by rw [← map_comp, AlgEquiv.symm_comp, map_id] right_inv I := by rw [← map_comp, AlgEquiv.comp_symm, map_id] #align fractional_ideal.map_equiv FractionalIdeal.mapEquiv @[simp] theorem coeFun_mapEquiv (g : P ≃ₐ[R] P') : (mapEquiv g : FractionalIdeal S P → FractionalIdeal S P') = map g := rfl #align fractional_ideal.coe_fun_map_equiv FractionalIdeal.coeFun_mapEquiv @[simp] theorem mapEquiv_apply (g : P ≃ₐ[R] P') (I : FractionalIdeal S P) : mapEquiv g I = map (↑g) I := rfl #align fractional_ideal.map_equiv_apply FractionalIdeal.mapEquiv_apply @[simp] theorem mapEquiv_symm (g : P ≃ₐ[R] P') : ((mapEquiv g).symm : FractionalIdeal S P' ≃+* _) = mapEquiv g.symm := rfl #align fractional_ideal.map_equiv_symm FractionalIdeal.mapEquiv_symm @[simp] theorem mapEquiv_refl : mapEquiv AlgEquiv.refl = RingEquiv.refl (FractionalIdeal S P) := RingEquiv.ext fun x => by simp #align fractional_ideal.map_equiv_refl FractionalIdeal.mapEquiv_refl theorem isFractional_span_iff {s : Set P} : IsFractional S (span R s) ↔ ∃ a ∈ S, ∀ b : P, b ∈ s → IsInteger R (a • b) := ⟨fun ⟨a, a_mem, h⟩ => ⟨a, a_mem, fun b hb => h b (subset_span hb)⟩, fun ⟨a, a_mem, h⟩ => ⟨a, a_mem, fun b hb => span_induction hb h (by rw [smul_zero] exact isInteger_zero) (fun x y hx hy => by rw [smul_add] exact isInteger_add hx hy) fun s x hx => by rw [smul_comm] exact isInteger_smul hx⟩⟩ #align fractional_ideal.is_fractional_span_iff FractionalIdeal.isFractional_span_iff theorem isFractional_of_fg {I : Submodule R P} (hI : I.FG) : IsFractional S I := by rcases hI with ⟨I, rfl⟩ rcases exist_integer_multiples_of_finset S I with ⟨⟨s, hs1⟩, hs⟩ rw [isFractional_span_iff] exact ⟨s, hs1, hs⟩ #align fractional_ideal.is_fractional_of_fg FractionalIdeal.isFractional_of_fg theorem mem_span_mul_finite_of_mem_mul {I J : FractionalIdeal S P} {x : P} (hx : x ∈ I * J) : ∃ T T' : Finset P, (T : Set P) ⊆ I ∧ (T' : Set P) ⊆ J ∧ x ∈ span R (T * T' : Set P) := Submodule.mem_span_mul_finite_of_mem_mul (by simpa using mem_coe.mpr hx) #align fractional_ideal.mem_span_mul_finite_of_mem_mul FractionalIdeal.mem_span_mul_finite_of_mem_mul variable (S) theorem coeIdeal_fg (inj : Function.Injective (algebraMap R P)) (I : Ideal R) : FG ((I : FractionalIdeal S P) : Submodule R P) ↔ I.FG := coeSubmodule_fg _ inj _ #align fractional_ideal.coe_ideal_fg FractionalIdeal.coeIdeal_fg variable {S} theorem fg_unit (I : (FractionalIdeal S P)ˣ) : FG (I : Submodule R P) := Submodule.fg_unit <| Units.map (coeSubmoduleHom S P).toMonoidHom I #align fractional_ideal.fg_unit FractionalIdeal.fg_unit theorem fg_of_isUnit (I : FractionalIdeal S P) (h : IsUnit I) : FG (I : Submodule R P) := fg_unit h.unit #align fractional_ideal.fg_of_is_unit FractionalIdeal.fg_of_isUnit theorem _root_.Ideal.fg_of_isUnit (inj : Function.Injective (algebraMap R P)) (I : Ideal R) (h : IsUnit (I : FractionalIdeal S P)) : I.FG := by rw [← coeIdeal_fg S inj I] exact FractionalIdeal.fg_of_isUnit I h #align ideal.fg_of_is_unit Ideal.fg_of_isUnit variable (S P P') noncomputable irreducible_def canonicalEquiv : FractionalIdeal S P ≃+* FractionalIdeal S P' := mapEquiv { ringEquivOfRingEquiv P P' (RingEquiv.refl R) (show S.map _ = S by rw [RingEquiv.toMonoidHom_refl, Submonoid.map_id]) with commutes' := fun r => ringEquivOfRingEquiv_eq _ _ } #align fractional_ideal.canonical_equiv FractionalIdeal.canonicalEquiv @[simp] theorem mem_canonicalEquiv_apply {I : FractionalIdeal S P} {x : P'} : x ∈ canonicalEquiv S P P' I ↔ ∃ y ∈ I, IsLocalization.map P' (RingHom.id R) (fun y (hy : y ∈ S) => show RingHom.id R y ∈ S from hy) (y : P) = x := by rw [canonicalEquiv, mapEquiv_apply, mem_map] exact ⟨fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩, fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩⟩ #align fractional_ideal.mem_canonical_equiv_apply FractionalIdeal.mem_canonicalEquiv_apply @[simp] theorem canonicalEquiv_symm : (canonicalEquiv S P P').symm = canonicalEquiv S P' P := RingEquiv.ext fun I => SetLike.ext_iff.mpr fun x => by rw [mem_canonicalEquiv_apply, canonicalEquiv, mapEquiv_symm, mapEquiv_apply, mem_map] exact ⟨fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩, fun ⟨y, mem, Eq⟩ => ⟨y, mem, Eq⟩⟩ #align fractional_ideal.canonical_equiv_symm FractionalIdeal.canonicalEquiv_symm theorem canonicalEquiv_flip (I) : canonicalEquiv S P P' (canonicalEquiv S P' P I) = I := by rw [← canonicalEquiv_symm]; erw [RingEquiv.apply_symm_apply] #align fractional_ideal.canonical_equiv_flip FractionalIdeal.canonicalEquiv_flip @[simp] theorem canonicalEquiv_canonicalEquiv (P'' : Type*) [CommRing P''] [Algebra R P''] [IsLocalization S P''] (I : FractionalIdeal S P) : canonicalEquiv S P' P'' (canonicalEquiv S P P' I) = canonicalEquiv S P P'' I := by ext simp only [IsLocalization.map_map, RingHomInvPair.comp_eq₂, mem_canonicalEquiv_apply, exists_prop, exists_exists_and_eq_and] #align fractional_ideal.canonical_equiv_canonical_equiv FractionalIdeal.canonicalEquiv_canonicalEquiv theorem canonicalEquiv_trans_canonicalEquiv (P'' : Type*) [CommRing P''] [Algebra R P''] [IsLocalization S P''] : (canonicalEquiv S P P').trans (canonicalEquiv S P' P'') = canonicalEquiv S P P'' := RingEquiv.ext (canonicalEquiv_canonicalEquiv S P P' P'') #align fractional_ideal.canonical_equiv_trans_canonical_equiv FractionalIdeal.canonicalEquiv_trans_canonicalEquiv @[simp] theorem canonicalEquiv_coeIdeal (I : Ideal R) : canonicalEquiv S P P' I = I := by ext simp [IsLocalization.map_eq] #align fractional_ideal.canonical_equiv_coe_ideal FractionalIdeal.canonicalEquiv_coeIdeal @[simp]
Mathlib/RingTheory/FractionalIdeal/Operations.lean
283
286
theorem canonicalEquiv_self : canonicalEquiv S P P = RingEquiv.refl _ := by
rw [← canonicalEquiv_trans_canonicalEquiv S P P] convert (canonicalEquiv S P P).symm_trans_self exact (canonicalEquiv_symm S P P).symm
import Mathlib.Data.Int.Interval import Mathlib.Data.Int.ModEq import Mathlib.Data.Nat.Count import Mathlib.Data.Rat.Floor import Mathlib.Order.Interval.Finset.Nat open Finset Int namespace Int variable (a b : ℤ) {r : ℤ} (hr : 0 < r) lemma Ico_filter_dvd_eq : (Ico a b).filter (r ∣ ·) = (Ico ⌈a / (r : ℚ)⌉ ⌈b / (r : ℚ)⌉).map ⟨(· * r), mul_left_injective₀ hr.ne'⟩ := by ext x simp only [mem_map, mem_filter, mem_Ico, ceil_le, lt_ceil, div_le_iff, lt_div_iff, dvd_iff_exists_eq_mul_left, cast_pos.2 hr, ← cast_mul, cast_lt, cast_le] aesop lemma Ioc_filter_dvd_eq : (Ioc a b).filter (r ∣ ·) = (Ioc ⌊a / (r : ℚ)⌋ ⌊b / (r : ℚ)⌋).map ⟨(· * r), mul_left_injective₀ hr.ne'⟩ := by ext x simp only [mem_map, mem_filter, mem_Ioc, floor_lt, le_floor, div_lt_iff, le_div_iff, dvd_iff_exists_eq_mul_left, cast_pos.2 hr, ← cast_mul, cast_lt, cast_le] aesop
Mathlib/Data/Int/CardIntervalMod.lean
42
44
theorem Ico_filter_dvd_card : ((Ico a b).filter (r ∣ ·)).card = max (⌈b / (r : ℚ)⌉ - ⌈a / (r : ℚ)⌉) 0 := by
rw [Ico_filter_dvd_eq _ _ hr, card_map, card_Ico, toNat_eq_max]
import Mathlib.Algebra.Field.Opposite import Mathlib.Algebra.Group.Subgroup.ZPowers import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.Algebra.Ring.NegOnePow import Mathlib.Algebra.Order.Archimedean import Mathlib.GroupTheory.Coset #align_import algebra.periodic from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e" variable {α β γ : Type*} {f g : α → β} {c c₁ c₂ x : α} open Set namespace Function @[simp] def Periodic [Add α] (f : α → β) (c : α) : Prop := ∀ x : α, f (x + c) = f x #align function.periodic Function.Periodic protected theorem Periodic.funext [Add α] (h : Periodic f c) : (fun x => f (x + c)) = f := funext h #align function.periodic.funext Function.Periodic.funext protected theorem Periodic.comp [Add α] (h : Periodic f c) (g : β → γ) : Periodic (g ∘ f) c := by simp_all #align function.periodic.comp Function.Periodic.comp theorem Periodic.comp_addHom [Add α] [Add γ] (h : Periodic f c) (g : AddHom γ α) (g_inv : α → γ) (hg : RightInverse g_inv g) : Periodic (f ∘ g) (g_inv c) := fun x => by simp only [hg c, h (g x), map_add, comp_apply] #align function.periodic.comp_add_hom Function.Periodic.comp_addHom @[to_additive] protected theorem Periodic.mul [Add α] [Mul β] (hf : Periodic f c) (hg : Periodic g c) : Periodic (f * g) c := by simp_all #align function.periodic.mul Function.Periodic.mul #align function.periodic.add Function.Periodic.add @[to_additive] protected theorem Periodic.div [Add α] [Div β] (hf : Periodic f c) (hg : Periodic g c) : Periodic (f / g) c := by simp_all #align function.periodic.div Function.Periodic.div #align function.periodic.sub Function.Periodic.sub @[to_additive] theorem _root_.List.periodic_prod [Add α] [Monoid β] (l : List (α → β)) (hl : ∀ f ∈ l, Periodic f c) : Periodic l.prod c := by induction' l with g l ih hl · simp · rw [List.forall_mem_cons] at hl simpa only [List.prod_cons] using hl.1.mul (ih hl.2) #align list.periodic_prod List.periodic_prod #align list.periodic_sum List.periodic_sum @[to_additive] theorem _root_.Multiset.periodic_prod [Add α] [CommMonoid β] (s : Multiset (α → β)) (hs : ∀ f ∈ s, Periodic f c) : Periodic s.prod c := (s.prod_toList ▸ s.toList.periodic_prod) fun f hf => hs f <| Multiset.mem_toList.mp hf #align multiset.periodic_prod Multiset.periodic_prod #align multiset.periodic_sum Multiset.periodic_sum @[to_additive] theorem _root_.Finset.periodic_prod [Add α] [CommMonoid β] {ι : Type*} {f : ι → α → β} (s : Finset ι) (hs : ∀ i ∈ s, Periodic (f i) c) : Periodic (∏ i ∈ s, f i) c := s.prod_to_list f ▸ (s.toList.map f).periodic_prod (by simpa [-Periodic] ) #align finset.periodic_prod Finset.periodic_prod #align finset.periodic_sum Finset.periodic_sum @[to_additive] protected theorem Periodic.smul [Add α] [SMul γ β] (h : Periodic f c) (a : γ) : Periodic (a • f) c := by simp_all #align function.periodic.smul Function.Periodic.smul #align function.periodic.vadd Function.Periodic.vadd protected theorem Periodic.const_smul [AddMonoid α] [Group γ] [DistribMulAction γ α] (h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by simpa only [smul_add, smul_inv_smul] using h (a • x) #align function.periodic.const_smul Function.Periodic.const_smul protected theorem Periodic.const_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α] (h : Periodic f c) (a : γ) : Periodic (fun x => f (a • x)) (a⁻¹ • c) := fun x => by by_cases ha : a = 0 · simp only [ha, zero_smul] · simpa only [smul_add, smul_inv_smul₀ ha] using h (a • x) #align function.periodic.const_smul₀ Function.Periodic.const_smul₀ protected theorem Periodic.const_mul [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (a * x)) (a⁻¹ * c) := Periodic.const_smul₀ h a #align function.periodic.const_mul Function.Periodic.const_mul theorem Periodic.const_inv_smul [AddMonoid α] [Group γ] [DistribMulAction γ α] (h : Periodic f c) (a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by simpa only [inv_inv] using h.const_smul a⁻¹ #align function.periodic.const_inv_smul Function.Periodic.const_inv_smul theorem Periodic.const_inv_smul₀ [AddCommMonoid α] [DivisionSemiring γ] [Module γ α] (h : Periodic f c) (a : γ) : Periodic (fun x => f (a⁻¹ • x)) (a • c) := by simpa only [inv_inv] using h.const_smul₀ a⁻¹ #align function.periodic.const_inv_smul₀ Function.Periodic.const_inv_smul₀ theorem Periodic.const_inv_mul [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (a⁻¹ * x)) (a * c) := h.const_inv_smul₀ a #align function.periodic.const_inv_mul Function.Periodic.const_inv_mul theorem Periodic.mul_const [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x * a)) (c * a⁻¹) := h.const_smul₀ (MulOpposite.op a) #align function.periodic.mul_const Function.Periodic.mul_const theorem Periodic.mul_const' [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x * a)) (c / a) := by simpa only [div_eq_mul_inv] using h.mul_const a #align function.periodic.mul_const' Function.Periodic.mul_const' theorem Periodic.mul_const_inv [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x * a⁻¹)) (c * a) := h.const_inv_smul₀ (MulOpposite.op a) #align function.periodic.mul_const_inv Function.Periodic.mul_const_inv theorem Periodic.div_const [DivisionSemiring α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x / a)) (c * a) := by simpa only [div_eq_mul_inv] using h.mul_const_inv a #align function.periodic.div_const Function.Periodic.div_const theorem Periodic.add_period [AddSemigroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) : Periodic f (c₁ + c₂) := by simp_all [← add_assoc] #align function.periodic.add_period Function.Periodic.add_period theorem Periodic.sub_eq [AddGroup α] (h : Periodic f c) (x : α) : f (x - c) = f x := by simpa only [sub_add_cancel] using (h (x - c)).symm #align function.periodic.sub_eq Function.Periodic.sub_eq theorem Periodic.sub_eq' [AddCommGroup α] (h : Periodic f c) : f (c - x) = f (-x) := by simpa only [sub_eq_neg_add] using h (-x) #align function.periodic.sub_eq' Function.Periodic.sub_eq' protected theorem Periodic.neg [AddGroup α] (h : Periodic f c) : Periodic f (-c) := by simpa only [sub_eq_add_neg, Periodic] using h.sub_eq #align function.periodic.neg Function.Periodic.neg theorem Periodic.sub_period [AddGroup α] (h1 : Periodic f c₁) (h2 : Periodic f c₂) : Periodic f (c₁ - c₂) := fun x => by rw [sub_eq_add_neg, ← add_assoc, h2.neg, h1] #align function.periodic.sub_period Function.Periodic.sub_period theorem Periodic.const_add [AddSemigroup α] (h : Periodic f c) (a : α) : Periodic (fun x => f (a + x)) c := fun x => by simpa [add_assoc] using h (a + x) #align function.periodic.const_add Function.Periodic.const_add theorem Periodic.add_const [AddCommSemigroup α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x + a)) c := fun x => by simpa only [add_right_comm] using h (x + a) #align function.periodic.add_const Function.Periodic.add_const theorem Periodic.const_sub [AddCommGroup α] (h : Periodic f c) (a : α) : Periodic (fun x => f (a - x)) c := fun x => by simp only [← sub_sub, h.sub_eq] #align function.periodic.const_sub Function.Periodic.const_sub theorem Periodic.sub_const [AddCommGroup α] (h : Periodic f c) (a : α) : Periodic (fun x => f (x - a)) c := by simpa only [sub_eq_add_neg] using h.add_const (-a) #align function.periodic.sub_const Function.Periodic.sub_const theorem Periodic.nsmul [AddMonoid α] (h : Periodic f c) (n : ℕ) : Periodic f (n • c) := by induction n <;> simp_all [Nat.succ_eq_add_one, add_nsmul, ← add_assoc, zero_nsmul] #align function.periodic.nsmul Function.Periodic.nsmul theorem Periodic.nat_mul [Semiring α] (h : Periodic f c) (n : ℕ) : Periodic f (n * c) := by simpa only [nsmul_eq_mul] using h.nsmul n #align function.periodic.nat_mul Function.Periodic.nat_mul theorem Periodic.neg_nsmul [AddGroup α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n • c)) := (h.nsmul n).neg #align function.periodic.neg_nsmul Function.Periodic.neg_nsmul theorem Periodic.neg_nat_mul [Ring α] (h : Periodic f c) (n : ℕ) : Periodic f (-(n * c)) := (h.nat_mul n).neg #align function.periodic.neg_nat_mul Function.Periodic.neg_nat_mul theorem Periodic.sub_nsmul_eq [AddGroup α] (h : Periodic f c) (n : ℕ) : f (x - n • c) = f x := by simpa only [sub_eq_add_neg] using h.neg_nsmul n x #align function.periodic.sub_nsmul_eq Function.Periodic.sub_nsmul_eq theorem Periodic.sub_nat_mul_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (x - n * c) = f x := by simpa only [nsmul_eq_mul] using h.sub_nsmul_eq n #align function.periodic.sub_nat_mul_eq Function.Periodic.sub_nat_mul_eq theorem Periodic.nsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℕ) : f (n • c - x) = f (-x) := (h.nsmul n).sub_eq' #align function.periodic.nsmul_sub_eq Function.Periodic.nsmul_sub_eq theorem Periodic.nat_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℕ) : f (n * c - x) = f (-x) := by simpa only [sub_eq_neg_add] using h.nat_mul n (-x) #align function.periodic.nat_mul_sub_eq Function.Periodic.nat_mul_sub_eq protected theorem Periodic.zsmul [AddGroup α] (h : Periodic f c) (n : ℤ) : Periodic f (n • c) := by cases' n with n n · simpa only [Int.ofNat_eq_coe, natCast_zsmul] using h.nsmul n · simpa only [negSucc_zsmul] using (h.nsmul (n + 1)).neg #align function.periodic.zsmul Function.Periodic.zsmul protected theorem Periodic.int_mul [Ring α] (h : Periodic f c) (n : ℤ) : Periodic f (n * c) := by simpa only [zsmul_eq_mul] using h.zsmul n #align function.periodic.int_mul Function.Periodic.int_mul theorem Periodic.sub_zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (x - n • c) = f x := (h.zsmul n).sub_eq x #align function.periodic.sub_zsmul_eq Function.Periodic.sub_zsmul_eq theorem Periodic.sub_int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (x - n * c) = f x := (h.int_mul n).sub_eq x #align function.periodic.sub_int_mul_eq Function.Periodic.sub_int_mul_eq theorem Periodic.zsmul_sub_eq [AddCommGroup α] (h : Periodic f c) (n : ℤ) : f (n • c - x) = f (-x) := (h.zsmul _).sub_eq' #align function.periodic.zsmul_sub_eq Function.Periodic.zsmul_sub_eq theorem Periodic.int_mul_sub_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c - x) = f (-x) := (h.int_mul _).sub_eq' #align function.periodic.int_mul_sub_eq Function.Periodic.int_mul_sub_eq protected theorem Periodic.eq [AddZeroClass α] (h : Periodic f c) : f c = f 0 := by simpa only [zero_add] using h 0 #align function.periodic.eq Function.Periodic.eq protected theorem Periodic.neg_eq [AddGroup α] (h : Periodic f c) : f (-c) = f 0 := h.neg.eq #align function.periodic.neg_eq Function.Periodic.neg_eq protected theorem Periodic.nsmul_eq [AddMonoid α] (h : Periodic f c) (n : ℕ) : f (n • c) = f 0 := (h.nsmul n).eq #align function.periodic.nsmul_eq Function.Periodic.nsmul_eq theorem Periodic.nat_mul_eq [Semiring α] (h : Periodic f c) (n : ℕ) : f (n * c) = f 0 := (h.nat_mul n).eq #align function.periodic.nat_mul_eq Function.Periodic.nat_mul_eq theorem Periodic.zsmul_eq [AddGroup α] (h : Periodic f c) (n : ℤ) : f (n • c) = f 0 := (h.zsmul n).eq #align function.periodic.zsmul_eq Function.Periodic.zsmul_eq theorem Periodic.int_mul_eq [Ring α] (h : Periodic f c) (n : ℤ) : f (n * c) = f 0 := (h.int_mul n).eq #align function.periodic.int_mul_eq Function.Periodic.int_mul_eq theorem Periodic.exists_mem_Ico₀ [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (x) : ∃ y ∈ Ico 0 c, f x = f y := let ⟨n, H, _⟩ := existsUnique_zsmul_near_of_pos' hc x ⟨x - n • c, H, (h.sub_zsmul_eq n).symm⟩ #align function.periodic.exists_mem_Ico₀ Function.Periodic.exists_mem_Ico₀ theorem Periodic.exists_mem_Ico [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (x a) : ∃ y ∈ Ico a (a + c), f x = f y := let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ico hc x a ⟨x + n • c, H, (h.zsmul n x).symm⟩ #align function.periodic.exists_mem_Ico Function.Periodic.exists_mem_Ico theorem Periodic.exists_mem_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (x a) : ∃ y ∈ Ioc a (a + c), f x = f y := let ⟨n, H, _⟩ := existsUnique_add_zsmul_mem_Ioc hc x a ⟨x + n • c, H, (h.zsmul n x).symm⟩ #align function.periodic.exists_mem_Ioc Function.Periodic.exists_mem_Ioc theorem Periodic.image_Ioc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (a : α) : f '' Ioc a (a + c) = range f := (image_subset_range _ _).antisymm <| range_subset_iff.2 fun x => let ⟨y, hy, hyx⟩ := h.exists_mem_Ioc hc x a ⟨y, hy, hyx.symm⟩ #align function.periodic.image_Ioc Function.Periodic.image_Ioc theorem Periodic.image_Icc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : 0 < c) (a : α) : f '' Icc a (a + c) = range f := (image_subset_range _ _).antisymm <| h.image_Ioc hc a ▸ image_subset _ Ioc_subset_Icc_self theorem Periodic.image_uIcc [LinearOrderedAddCommGroup α] [Archimedean α] (h : Periodic f c) (hc : c ≠ 0) (a : α) : f '' uIcc a (a + c) = range f := by cases hc.lt_or_lt with | inl hc => rw [uIcc_of_ge (add_le_of_nonpos_right hc.le), ← h.neg.image_Icc (neg_pos.2 hc) (a + c), add_neg_cancel_right] | inr hc => rw [uIcc_of_le (le_add_of_nonneg_right hc.le), h.image_Icc hc] theorem periodic_with_period_zero [AddZeroClass α] (f : α → β) : Periodic f 0 := fun x => by rw [add_zero] #align function.periodic_with_period_zero Function.periodic_with_period_zero theorem Periodic.map_vadd_zmultiples [AddCommGroup α] (hf : Periodic f c) (a : AddSubgroup.zmultiples c) (x : α) : f (a +ᵥ x) = f x := by rcases a with ⟨_, m, rfl⟩ simp [AddSubgroup.vadd_def, add_comm _ x, hf.zsmul m x] #align function.periodic.map_vadd_zmultiples Function.Periodic.map_vadd_zmultiples theorem Periodic.map_vadd_multiples [AddCommMonoid α] (hf : Periodic f c) (a : AddSubmonoid.multiples c) (x : α) : f (a +ᵥ x) = f x := by rcases a with ⟨_, m, rfl⟩ simp [AddSubmonoid.vadd_def, add_comm _ x, hf.nsmul m x] #align function.periodic.map_vadd_multiples Function.Periodic.map_vadd_multiples def Periodic.lift [AddGroup α] (h : Periodic f c) (x : α ⧸ AddSubgroup.zmultiples c) : β := Quotient.liftOn' x f fun a b h' => by rw [QuotientAddGroup.leftRel_apply] at h' obtain ⟨k, hk⟩ := h' exact (h.zsmul k _).symm.trans (congr_arg f (add_eq_of_eq_neg_add hk)) #align function.periodic.lift Function.Periodic.lift @[simp] theorem Periodic.lift_coe [AddGroup α] (h : Periodic f c) (a : α) : h.lift (a : α ⧸ AddSubgroup.zmultiples c) = f a := rfl #align function.periodic.lift_coe Function.Periodic.lift_coe lemma Periodic.not_injective {R X : Type*} [AddZeroClass R] {f : R → X} {c : R} (hf : Periodic f c) (hc : c ≠ 0) : ¬ Injective f := fun h ↦ hc <| h hf.eq @[simp] def Antiperiodic [Add α] [Neg β] (f : α → β) (c : α) : Prop := ∀ x : α, f (x + c) = -f x #align function.antiperiodic Function.Antiperiodic protected theorem Antiperiodic.funext [Add α] [Neg β] (h : Antiperiodic f c) : (fun x => f (x + c)) = -f := funext h #align function.antiperiodic.funext Function.Antiperiodic.funext protected theorem Antiperiodic.funext' [Add α] [InvolutiveNeg β] (h : Antiperiodic f c) : (fun x => -f (x + c)) = f := neg_eq_iff_eq_neg.mpr h.funext #align function.antiperiodic.funext' Function.Antiperiodic.funext' protected theorem Antiperiodic.periodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c) : Periodic f (2 • c) := by simp [two_nsmul, ← add_assoc, h _] protected theorem Antiperiodic.periodic_two_mul [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c) : Periodic f (2 * c) := nsmul_eq_mul 2 c ▸ h.periodic #align function.antiperiodic.periodic Function.Antiperiodic.periodic_two_mul protected theorem Antiperiodic.eq [AddZeroClass α] [Neg β] (h : Antiperiodic f c) : f c = -f 0 := by simpa only [zero_add] using h 0 #align function.antiperiodic.eq Function.Antiperiodic.eq theorem Antiperiodic.even_nsmul_periodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℕ) : Periodic f ((2 * n) • c) := mul_nsmul c 2 n ▸ h.periodic.nsmul n theorem Antiperiodic.nat_even_mul_periodic [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℕ) : Periodic f (n * (2 * c)) := h.periodic_two_mul.nat_mul n #align function.antiperiodic.nat_even_mul_periodic Function.Antiperiodic.nat_even_mul_periodic theorem Antiperiodic.odd_nsmul_antiperiodic [AddMonoid α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℕ) : Antiperiodic f ((2 * n + 1) • c) := fun x => by rw [add_nsmul, one_nsmul, ← add_assoc, h, h.even_nsmul_periodic] theorem Antiperiodic.nat_odd_mul_antiperiodic [Semiring α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℕ) : Antiperiodic f (n * (2 * c) + c) := fun x => by rw [← add_assoc, h, h.nat_even_mul_periodic] #align function.antiperiodic.nat_odd_mul_antiperiodic Function.Antiperiodic.nat_odd_mul_antiperiodic theorem Antiperiodic.even_zsmul_periodic [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℤ) : Periodic f ((2 * n) • c) := by rw [mul_comm, mul_zsmul, two_zsmul, ← two_nsmul] exact h.periodic.zsmul n theorem Antiperiodic.int_even_mul_periodic [Ring α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℤ) : Periodic f (n * (2 * c)) := h.periodic_two_mul.int_mul n #align function.antiperiodic.int_even_mul_periodic Function.Antiperiodic.int_even_mul_periodic theorem Antiperiodic.odd_zsmul_antiperiodic [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℤ) : Antiperiodic f ((2 * n + 1) • c) := by intro x rw [add_zsmul, one_zsmul, ← add_assoc, h, h.even_zsmul_periodic] theorem Antiperiodic.int_odd_mul_antiperiodic [Ring α] [InvolutiveNeg β] (h : Antiperiodic f c) (n : ℤ) : Antiperiodic f (n * (2 * c) + c) := fun x => by rw [← add_assoc, h, h.int_even_mul_periodic] #align function.antiperiodic.int_odd_mul_antiperiodic Function.Antiperiodic.int_odd_mul_antiperiodic theorem Antiperiodic.sub_eq [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) (x : α) : f (x - c) = -f x := by simp only [← neg_eq_iff_eq_neg, ← h (x - c), sub_add_cancel] #align function.antiperiodic.sub_eq Function.Antiperiodic.sub_eq theorem Antiperiodic.sub_eq' [AddCommGroup α] [Neg β] (h : Antiperiodic f c) : f (c - x) = -f (-x) := by simpa only [sub_eq_neg_add] using h (-x) #align function.antiperiodic.sub_eq' Function.Antiperiodic.sub_eq' protected theorem Antiperiodic.neg [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) : Antiperiodic f (-c) := by simpa only [sub_eq_add_neg, Antiperiodic] using h.sub_eq #align function.antiperiodic.neg Function.Antiperiodic.neg theorem Antiperiodic.neg_eq [AddGroup α] [InvolutiveNeg β] (h : Antiperiodic f c) : f (-c) = -f 0 := by simpa only [zero_add] using h.neg 0 #align function.antiperiodic.neg_eq Function.Antiperiodic.neg_eq theorem Antiperiodic.nat_mul_eq_of_eq_zero [Semiring α] [NegZeroClass β] (h : Antiperiodic f c) (hi : f 0 = 0) : ∀ n : ℕ, f (n * c) = 0 | 0 => by rwa [Nat.cast_zero, zero_mul] | n + 1 => by simp [add_mul, h _, Antiperiodic.nat_mul_eq_of_eq_zero h hi n] #align function.antiperiodic.nat_mul_eq_of_eq_zero Function.Antiperiodic.nat_mul_eq_of_eq_zero theorem Antiperiodic.int_mul_eq_of_eq_zero [Ring α] [SubtractionMonoid β] (h : Antiperiodic f c) (hi : f 0 = 0) : ∀ n : ℤ, f (n * c) = 0 | (n : ℕ) => by rw [Int.cast_natCast, h.nat_mul_eq_of_eq_zero hi n] | .negSucc n => by rw [Int.cast_negSucc, neg_mul, ← mul_neg, h.neg.nat_mul_eq_of_eq_zero hi] #align function.antiperiodic.int_mul_eq_of_eq_zero Function.Antiperiodic.int_mul_eq_of_eq_zero theorem Antiperiodic.add_zsmul_eq [AddGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℤ) : f (x + n • c) = (n.negOnePow : ℤ) • f x := by rcases Int.even_or_odd' n with ⟨k, rfl | rfl⟩ · rw [h.even_zsmul_periodic, Int.negOnePow_two_mul, Units.val_one, one_zsmul] · rw [h.odd_zsmul_antiperiodic, Int.negOnePow_two_mul_add_one, Units.val_neg, Units.val_one, neg_zsmul, one_zsmul] theorem Antiperiodic.sub_zsmul_eq [AddGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℤ) : f (x - n • c) = (n.negOnePow : ℤ) • f x := by simpa only [sub_eq_add_neg, neg_zsmul, Int.negOnePow_neg] using h.add_zsmul_eq (-n) theorem Antiperiodic.zsmul_sub_eq [AddCommGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℤ) : f (n • c - x) = (n.negOnePow : ℤ) • f (-x) := by rw [sub_eq_add_neg, add_comm] exact h.add_zsmul_eq n theorem Antiperiodic.add_int_mul_eq [Ring α] [Ring β] (h : Antiperiodic f c) (n : ℤ) : f (x + n * c) = (n.negOnePow : ℤ) * f x := by simpa only [zsmul_eq_mul] using h.add_zsmul_eq n theorem Antiperiodic.sub_int_mul_eq [Ring α] [Ring β] (h : Antiperiodic f c) (n : ℤ) : f (x - n * c) = (n.negOnePow : ℤ) * f x := by simpa only [zsmul_eq_mul] using h.sub_zsmul_eq n theorem Antiperiodic.int_mul_sub_eq [Ring α] [Ring β] (h : Antiperiodic f c) (n : ℤ) : f (n * c - x) = (n.negOnePow : ℤ) * f (-x) := by simpa only [zsmul_eq_mul] using h.zsmul_sub_eq n theorem Antiperiodic.add_nsmul_eq [AddMonoid α] [AddGroup β] (h : Antiperiodic f c) (n : ℕ) : f (x + n • c) = (-1) ^ n • f x := by rcases Nat.even_or_odd' n with ⟨k, rfl | rfl⟩ · rw [h.even_nsmul_periodic, pow_mul, (by norm_num : (-1) ^ 2 = 1), one_pow, one_zsmul] · rw [h.odd_nsmul_antiperiodic, pow_add, pow_mul, (by norm_num : (-1) ^ 2 = 1), one_pow, pow_one, one_mul, neg_zsmul, one_zsmul] theorem Antiperiodic.sub_nsmul_eq [AddGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℕ) : f (x - n • c) = (-1) ^ n • f x := by simpa only [Int.reduceNeg, natCast_zsmul] using h.sub_zsmul_eq n theorem Antiperiodic.nsmul_sub_eq [AddCommGroup α] [AddGroup β] (h : Antiperiodic f c) (n : ℕ) : f (n • c - x) = (-1) ^ n • f (-x) := by simpa only [Int.reduceNeg, natCast_zsmul] using h.zsmul_sub_eq n theorem Antiperiodic.add_nat_mul_eq [Semiring α] [Ring β] (h : Antiperiodic f c) (n : ℕ) : f (x + n * c) = (-1) ^ n * f x := by simpa only [nsmul_eq_mul, zsmul_eq_mul, Int.cast_pow, Int.cast_neg, Int.cast_one] using h.add_nsmul_eq n theorem Antiperiodic.sub_nat_mul_eq [Ring α] [Ring β] (h : Antiperiodic f c) (n : ℕ) : f (x - n * c) = (-1) ^ n * f x := by simpa only [nsmul_eq_mul, zsmul_eq_mul, Int.cast_pow, Int.cast_neg, Int.cast_one] using h.sub_nsmul_eq n
Mathlib/Algebra/Periodic.lean
509
512
theorem Antiperiodic.nat_mul_sub_eq [Ring α] [Ring β] (h : Antiperiodic f c) (n : ℕ) : f (n * c - x) = (-1) ^ n * f (-x) := by
simpa only [nsmul_eq_mul, zsmul_eq_mul, Int.cast_pow, Int.cast_neg, Int.cast_one] using h.nsmul_sub_eq n
import Mathlib.Logic.Relation import Mathlib.Data.Option.Basic import Mathlib.Data.Seq.Seq #align_import data.seq.wseq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad" namespace Stream' open Function universe u v w def WSeq (α) := Seq (Option α) #align stream.wseq Stream'.WSeq namespace WSeq variable {α : Type u} {β : Type v} {γ : Type w} @[coe] def ofSeq : Seq α → WSeq α := (· <$> ·) some #align stream.wseq.of_seq Stream'.WSeq.ofSeq @[coe] def ofList (l : List α) : WSeq α := ofSeq l #align stream.wseq.of_list Stream'.WSeq.ofList @[coe] def ofStream (l : Stream' α) : WSeq α := ofSeq l #align stream.wseq.of_stream Stream'.WSeq.ofStream instance coeSeq : Coe (Seq α) (WSeq α) := ⟨ofSeq⟩ #align stream.wseq.coe_seq Stream'.WSeq.coeSeq instance coeList : Coe (List α) (WSeq α) := ⟨ofList⟩ #align stream.wseq.coe_list Stream'.WSeq.coeList instance coeStream : Coe (Stream' α) (WSeq α) := ⟨ofStream⟩ #align stream.wseq.coe_stream Stream'.WSeq.coeStream def nil : WSeq α := Seq.nil #align stream.wseq.nil Stream'.WSeq.nil instance inhabited : Inhabited (WSeq α) := ⟨nil⟩ #align stream.wseq.inhabited Stream'.WSeq.inhabited def cons (a : α) : WSeq α → WSeq α := Seq.cons (some a) #align stream.wseq.cons Stream'.WSeq.cons def think : WSeq α → WSeq α := Seq.cons none #align stream.wseq.think Stream'.WSeq.think def destruct : WSeq α → Computation (Option (α × WSeq α)) := Computation.corec fun s => match Seq.destruct s with | none => Sum.inl none | some (none, s') => Sum.inr s' | some (some a, s') => Sum.inl (some (a, s')) #align stream.wseq.destruct Stream'.WSeq.destruct def recOn {C : WSeq α → Sort v} (s : WSeq α) (h1 : C nil) (h2 : ∀ x s, C (cons x s)) (h3 : ∀ s, C (think s)) : C s := Seq.recOn s h1 fun o => Option.recOn o h3 h2 #align stream.wseq.rec_on Stream'.WSeq.recOn protected def Mem (a : α) (s : WSeq α) := Seq.Mem (some a) s #align stream.wseq.mem Stream'.WSeq.Mem instance membership : Membership α (WSeq α) := ⟨WSeq.Mem⟩ #align stream.wseq.has_mem Stream'.WSeq.membership theorem not_mem_nil (a : α) : a ∉ @nil α := Seq.not_mem_nil (some a) #align stream.wseq.not_mem_nil Stream'.WSeq.not_mem_nil def head (s : WSeq α) : Computation (Option α) := Computation.map (Prod.fst <$> ·) (destruct s) #align stream.wseq.head Stream'.WSeq.head def flatten : Computation (WSeq α) → WSeq α := Seq.corec fun c => match Computation.destruct c with | Sum.inl s => Seq.omap (return ·) (Seq.destruct s) | Sum.inr c' => some (none, c') #align stream.wseq.flatten Stream'.WSeq.flatten def tail (s : WSeq α) : WSeq α := flatten <| (fun o => Option.recOn o nil Prod.snd) <$> destruct s #align stream.wseq.tail Stream'.WSeq.tail def drop (s : WSeq α) : ℕ → WSeq α | 0 => s | n + 1 => tail (drop s n) #align stream.wseq.drop Stream'.WSeq.drop def get? (s : WSeq α) (n : ℕ) : Computation (Option α) := head (drop s n) #align stream.wseq.nth Stream'.WSeq.get? def toList (s : WSeq α) : Computation (List α) := @Computation.corec (List α) (List α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) ([], s) #align stream.wseq.to_list Stream'.WSeq.toList def length (s : WSeq α) : Computation ℕ := @Computation.corec ℕ (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s with | none => Sum.inl n | some (none, s') => Sum.inr (n, s') | some (some _, s') => Sum.inr (n + 1, s')) (0, s) #align stream.wseq.length Stream'.WSeq.length class IsFinite (s : WSeq α) : Prop where out : (toList s).Terminates #align stream.wseq.is_finite Stream'.WSeq.IsFinite instance toList_terminates (s : WSeq α) [h : IsFinite s] : (toList s).Terminates := h.out #align stream.wseq.to_list_terminates Stream'.WSeq.toList_terminates def get (s : WSeq α) [IsFinite s] : List α := (toList s).get #align stream.wseq.get Stream'.WSeq.get class Productive (s : WSeq α) : Prop where get?_terminates : ∀ n, (get? s n).Terminates #align stream.wseq.productive Stream'.WSeq.Productive #align stream.wseq.productive.nth_terminates Stream'.WSeq.Productive.get?_terminates theorem productive_iff (s : WSeq α) : Productive s ↔ ∀ n, (get? s n).Terminates := ⟨fun h => h.1, fun h => ⟨h⟩⟩ #align stream.wseq.productive_iff Stream'.WSeq.productive_iff instance get?_terminates (s : WSeq α) [h : Productive s] : ∀ n, (get? s n).Terminates := h.get?_terminates #align stream.wseq.nth_terminates Stream'.WSeq.get?_terminates instance head_terminates (s : WSeq α) [Productive s] : (head s).Terminates := s.get?_terminates 0 #align stream.wseq.head_terminates Stream'.WSeq.head_terminates def updateNth (s : WSeq α) (n : ℕ) (a : α) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (some a, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.update_nth Stream'.WSeq.updateNth def removeNth (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match Seq.destruct s, n with | none, _ => none | some (none, s'), n => some (none, n, s') | some (some a', s'), 0 => some (some a', 0, s') | some (some _, s'), 1 => some (none, 0, s') | some (some a', s'), n + 2 => some (some a', n + 1, s')) (n + 1, s) #align stream.wseq.remove_nth Stream'.WSeq.removeNth def filterMap (f : α → Option β) : WSeq α → WSeq β := Seq.corec fun s => match Seq.destruct s with | none => none | some (none, s') => some (none, s') | some (some a, s') => some (f a, s') #align stream.wseq.filter_map Stream'.WSeq.filterMap def filter (p : α → Prop) [DecidablePred p] : WSeq α → WSeq α := filterMap fun a => if p a then some a else none #align stream.wseq.filter Stream'.WSeq.filter -- example of infinite list manipulations def find (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation (Option α) := head <| filter p s #align stream.wseq.find Stream'.WSeq.find def zipWith (f : α → β → γ) (s1 : WSeq α) (s2 : WSeq β) : WSeq γ := @Seq.corec (Option γ) (WSeq α × WSeq β) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some _, _), some (none, s2') => some (none, s1, s2') | some (none, s1'), some (some _, _) => some (none, s1', s2) | some (some a1, s1'), some (some a2, s2') => some (some (f a1 a2), s1', s2') | _, _ => none) (s1, s2) #align stream.wseq.zip_with Stream'.WSeq.zipWith def zip : WSeq α → WSeq β → WSeq (α × β) := zipWith Prod.mk #align stream.wseq.zip Stream'.WSeq.zip def findIndexes (p : α → Prop) [DecidablePred p] (s : WSeq α) : WSeq ℕ := (zip s (Stream'.nats : WSeq ℕ)).filterMap fun ⟨a, n⟩ => if p a then some n else none #align stream.wseq.find_indexes Stream'.WSeq.findIndexes def findIndex (p : α → Prop) [DecidablePred p] (s : WSeq α) : Computation ℕ := (fun o => Option.getD o 0) <$> head (findIndexes p s) #align stream.wseq.find_index Stream'.WSeq.findIndex def indexOf [DecidableEq α] (a : α) : WSeq α → Computation ℕ := findIndex (Eq a) #align stream.wseq.index_of Stream'.WSeq.indexOf def indexesOf [DecidableEq α] (a : α) : WSeq α → WSeq ℕ := findIndexes (Eq a) #align stream.wseq.indexes_of Stream'.WSeq.indexesOf def union (s1 s2 : WSeq α) : WSeq α := @Seq.corec (Option α) (WSeq α × WSeq α) (fun ⟨s1, s2⟩ => match Seq.destruct s1, Seq.destruct s2 with | none, none => none | some (a1, s1'), none => some (a1, s1', nil) | none, some (a2, s2') => some (a2, nil, s2') | some (none, s1'), some (none, s2') => some (none, s1', s2') | some (some a1, s1'), some (none, s2') => some (some a1, s1', s2') | some (none, s1'), some (some a2, s2') => some (some a2, s1', s2') | some (some a1, s1'), some (some a2, s2') => some (some a1, cons a2 s1', s2')) (s1, s2) #align stream.wseq.union Stream'.WSeq.union def isEmpty (s : WSeq α) : Computation Bool := Computation.map Option.isNone <| head s #align stream.wseq.is_empty Stream'.WSeq.isEmpty def compute (s : WSeq α) : WSeq α := match Seq.destruct s with | some (none, s') => s' | _ => s #align stream.wseq.compute Stream'.WSeq.compute def take (s : WSeq α) (n : ℕ) : WSeq α := @Seq.corec (Option α) (ℕ × WSeq α) (fun ⟨n, s⟩ => match n, Seq.destruct s with | 0, _ => none | _ + 1, none => none | m + 1, some (none, s') => some (none, m + 1, s') | m + 1, some (some a, s') => some (some a, m, s')) (n, s) #align stream.wseq.take Stream'.WSeq.take def splitAt (s : WSeq α) (n : ℕ) : Computation (List α × WSeq α) := @Computation.corec (List α × WSeq α) (ℕ × List α × WSeq α) (fun ⟨n, l, s⟩ => match n, Seq.destruct s with | 0, _ => Sum.inl (l.reverse, s) | _ + 1, none => Sum.inl (l.reverse, s) | _ + 1, some (none, s') => Sum.inr (n, l, s') | m + 1, some (some a, s') => Sum.inr (m, a::l, s')) (n, [], s) #align stream.wseq.split_at Stream'.WSeq.splitAt def any (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl false | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inl true else Sum.inr s') s #align stream.wseq.any Stream'.WSeq.any def all (s : WSeq α) (p : α → Bool) : Computation Bool := Computation.corec (fun s : WSeq α => match Seq.destruct s with | none => Sum.inl true | some (none, s') => Sum.inr s' | some (some a, s') => if p a then Sum.inr s' else Sum.inl false) s #align stream.wseq.all Stream'.WSeq.all def scanl (f : α → β → α) (a : α) (s : WSeq β) : WSeq α := cons a <| @Seq.corec (Option α) (α × WSeq β) (fun ⟨a, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, a, s') | some (some b, s') => let a' := f a b some (some a', a', s')) (a, s) #align stream.wseq.scanl Stream'.WSeq.scanl def inits (s : WSeq α) : WSeq (List α) := cons [] <| @Seq.corec (Option (List α)) (Batteries.DList α × WSeq α) (fun ⟨l, s⟩ => match Seq.destruct s with | none => none | some (none, s') => some (none, l, s') | some (some a, s') => let l' := l.push a some (some l'.toList, l', s')) (Batteries.DList.empty, s) #align stream.wseq.inits Stream'.WSeq.inits def collect (s : WSeq α) (n : ℕ) : List α := (Seq.take n s).filterMap id #align stream.wseq.collect Stream'.WSeq.collect def append : WSeq α → WSeq α → WSeq α := Seq.append #align stream.wseq.append Stream'.WSeq.append def map (f : α → β) : WSeq α → WSeq β := Seq.map (Option.map f) #align stream.wseq.map Stream'.WSeq.map def join (S : WSeq (WSeq α)) : WSeq α := Seq.join ((fun o : Option (WSeq α) => match o with | none => Seq1.ret none | some s => (none, s)) <$> S) #align stream.wseq.join Stream'.WSeq.join def bind (s : WSeq α) (f : α → WSeq β) : WSeq β := join (map f s) #align stream.wseq.bind Stream'.WSeq.bind @[simp] def LiftRelO (R : α → β → Prop) (C : WSeq α → WSeq β → Prop) : Option (α × WSeq α) → Option (β × WSeq β) → Prop | none, none => True | some (a, s), some (b, t) => R a b ∧ C s t | _, _ => False #align stream.wseq.lift_rel_o Stream'.WSeq.LiftRelO theorem LiftRelO.imp {R S : α → β → Prop} {C D : WSeq α → WSeq β → Prop} (H1 : ∀ a b, R a b → S a b) (H2 : ∀ s t, C s t → D s t) : ∀ {o p}, LiftRelO R C o p → LiftRelO S D o p | none, none, _ => trivial | some (_, _), some (_, _), h => And.imp (H1 _ _) (H2 _ _) h | none, some _, h => False.elim h | some (_, _), none, h => False.elim h #align stream.wseq.lift_rel_o.imp Stream'.WSeq.LiftRelO.imp theorem LiftRelO.imp_right (R : α → β → Prop) {C D : WSeq α → WSeq β → Prop} (H : ∀ s t, C s t → D s t) {o p} : LiftRelO R C o p → LiftRelO R D o p := LiftRelO.imp (fun _ _ => id) H #align stream.wseq.lift_rel_o.imp_right Stream'.WSeq.LiftRelO.imp_right @[simp] def BisimO (R : WSeq α → WSeq α → Prop) : Option (α × WSeq α) → Option (α × WSeq α) → Prop := LiftRelO (· = ·) R #align stream.wseq.bisim_o Stream'.WSeq.BisimO theorem BisimO.imp {R S : WSeq α → WSeq α → Prop} (H : ∀ s t, R s t → S s t) {o p} : BisimO R o p → BisimO S o p := LiftRelO.imp_right _ H #align stream.wseq.bisim_o.imp Stream'.WSeq.BisimO.imp def LiftRel (R : α → β → Prop) (s : WSeq α) (t : WSeq β) : Prop := ∃ C : WSeq α → WSeq β → Prop, C s t ∧ ∀ {s t}, C s t → Computation.LiftRel (LiftRelO R C) (destruct s) (destruct t) #align stream.wseq.lift_rel Stream'.WSeq.LiftRel def Equiv : WSeq α → WSeq α → Prop := LiftRel (· = ·) #align stream.wseq.equiv Stream'.WSeq.Equiv theorem liftRel_destruct {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t → Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) | ⟨R, h1, h2⟩ => by refine Computation.LiftRel.imp ?_ _ _ (h2 h1) apply LiftRelO.imp_right exact fun s' t' h' => ⟨R, h', @h2⟩ #align stream.wseq.lift_rel_destruct Stream'.WSeq.liftRel_destruct theorem liftRel_destruct_iff {R : α → β → Prop} {s : WSeq α} {t : WSeq β} : LiftRel R s t ↔ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := ⟨liftRel_destruct, fun h => ⟨fun s t => LiftRel R s t ∨ Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t), Or.inr h, fun {s t} h => by have h : Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct s) (destruct t) := by cases' h with h h · exact liftRel_destruct h · assumption apply Computation.LiftRel.imp _ _ _ h intro a b apply LiftRelO.imp_right intro s t apply Or.inl⟩⟩ #align stream.wseq.lift_rel_destruct_iff Stream'.WSeq.liftRel_destruct_iff -- Porting note: To avoid ambiguous notation, `~` became `~ʷ`. infixl:50 " ~ʷ " => Equiv theorem destruct_congr {s t : WSeq α} : s ~ʷ t → Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct #align stream.wseq.destruct_congr Stream'.WSeq.destruct_congr theorem destruct_congr_iff {s t : WSeq α} : s ~ʷ t ↔ Computation.LiftRel (BisimO (· ~ʷ ·)) (destruct s) (destruct t) := liftRel_destruct_iff #align stream.wseq.destruct_congr_iff Stream'.WSeq.destruct_congr_iff theorem LiftRel.refl (R : α → α → Prop) (H : Reflexive R) : Reflexive (LiftRel R) := fun s => by refine ⟨(· = ·), rfl, fun {s t} (h : s = t) => ?_⟩ rw [← h] apply Computation.LiftRel.refl intro a cases' a with a · simp · cases a simp only [LiftRelO, and_true] apply H #align stream.wseq.lift_rel.refl Stream'.WSeq.LiftRel.refl theorem LiftRelO.swap (R : α → β → Prop) (C) : swap (LiftRelO R C) = LiftRelO (swap R) (swap C) := by funext x y rcases x with ⟨⟩ | ⟨hx, jx⟩ <;> rcases y with ⟨⟩ | ⟨hy, jy⟩ <;> rfl #align stream.wseq.lift_rel_o.swap Stream'.WSeq.LiftRelO.swap theorem LiftRel.swap_lem {R : α → β → Prop} {s1 s2} (h : LiftRel R s1 s2) : LiftRel (swap R) s2 s1 := by refine ⟨swap (LiftRel R), h, fun {s t} (h : LiftRel R t s) => ?_⟩ rw [← LiftRelO.swap, Computation.LiftRel.swap] apply liftRel_destruct h #align stream.wseq.lift_rel.swap_lem Stream'.WSeq.LiftRel.swap_lem theorem LiftRel.swap (R : α → β → Prop) : swap (LiftRel R) = LiftRel (swap R) := funext fun _ => funext fun _ => propext ⟨LiftRel.swap_lem, LiftRel.swap_lem⟩ #align stream.wseq.lift_rel.swap Stream'.WSeq.LiftRel.swap theorem LiftRel.symm (R : α → α → Prop) (H : Symmetric R) : Symmetric (LiftRel R) := fun s1 s2 (h : Function.swap (LiftRel R) s2 s1) => by rwa [LiftRel.swap, H.swap_eq] at h #align stream.wseq.lift_rel.symm Stream'.WSeq.LiftRel.symm theorem LiftRel.trans (R : α → α → Prop) (H : Transitive R) : Transitive (LiftRel R) := fun s t u h1 h2 => by refine ⟨fun s u => ∃ t, LiftRel R s t ∧ LiftRel R t u, ⟨t, h1, h2⟩, fun {s u} h => ?_⟩ rcases h with ⟨t, h1, h2⟩ have h1 := liftRel_destruct h1 have h2 := liftRel_destruct h2 refine Computation.liftRel_def.2 ⟨(Computation.terminates_of_liftRel h1).trans (Computation.terminates_of_liftRel h2), fun {a c} ha hc => ?_⟩ rcases h1.left ha with ⟨b, hb, t1⟩ have t2 := Computation.rel_of_liftRel h2 hb hc cases' a with a <;> cases' c with c · trivial · cases b · cases t2 · cases t1 · cases a cases' b with b · cases t1 · cases b cases t2 · cases' a with a s cases' b with b · cases t1 cases' b with b t cases' c with c u cases' t1 with ab st cases' t2 with bc tu exact ⟨H ab bc, t, st, tu⟩ #align stream.wseq.lift_rel.trans Stream'.WSeq.LiftRel.trans theorem LiftRel.equiv (R : α → α → Prop) : Equivalence R → Equivalence (LiftRel R) | ⟨refl, symm, trans⟩ => ⟨LiftRel.refl R refl, @(LiftRel.symm R @symm), @(LiftRel.trans R @trans)⟩ #align stream.wseq.lift_rel.equiv Stream'.WSeq.LiftRel.equiv @[refl] theorem Equiv.refl : ∀ s : WSeq α, s ~ʷ s := LiftRel.refl (· = ·) Eq.refl #align stream.wseq.equiv.refl Stream'.WSeq.Equiv.refl @[symm] theorem Equiv.symm : ∀ {s t : WSeq α}, s ~ʷ t → t ~ʷ s := @(LiftRel.symm (· = ·) (@Eq.symm _)) #align stream.wseq.equiv.symm Stream'.WSeq.Equiv.symm @[trans] theorem Equiv.trans : ∀ {s t u : WSeq α}, s ~ʷ t → t ~ʷ u → s ~ʷ u := @(LiftRel.trans (· = ·) (@Eq.trans _)) #align stream.wseq.equiv.trans Stream'.WSeq.Equiv.trans theorem Equiv.equivalence : Equivalence (@Equiv α) := ⟨@Equiv.refl _, @Equiv.symm _, @Equiv.trans _⟩ #align stream.wseq.equiv.equivalence Stream'.WSeq.Equiv.equivalence open Computation @[simp] theorem destruct_nil : destruct (nil : WSeq α) = Computation.pure none := Computation.destruct_eq_pure rfl #align stream.wseq.destruct_nil Stream'.WSeq.destruct_nil @[simp] theorem destruct_cons (a : α) (s) : destruct (cons a s) = Computation.pure (some (a, s)) := Computation.destruct_eq_pure <| by simp [destruct, cons, Computation.rmap] #align stream.wseq.destruct_cons Stream'.WSeq.destruct_cons @[simp] theorem destruct_think (s : WSeq α) : destruct (think s) = (destruct s).think := Computation.destruct_eq_think <| by simp [destruct, think, Computation.rmap] #align stream.wseq.destruct_think Stream'.WSeq.destruct_think @[simp] theorem seq_destruct_nil : Seq.destruct (nil : WSeq α) = none := Seq.destruct_nil #align stream.wseq.seq_destruct_nil Stream'.WSeq.seq_destruct_nil @[simp] theorem seq_destruct_cons (a : α) (s) : Seq.destruct (cons a s) = some (some a, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_cons Stream'.WSeq.seq_destruct_cons @[simp] theorem seq_destruct_think (s : WSeq α) : Seq.destruct (think s) = some (none, s) := Seq.destruct_cons _ _ #align stream.wseq.seq_destruct_think Stream'.WSeq.seq_destruct_think @[simp] theorem head_nil : head (nil : WSeq α) = Computation.pure none := by simp [head] #align stream.wseq.head_nil Stream'.WSeq.head_nil @[simp] theorem head_cons (a : α) (s) : head (cons a s) = Computation.pure (some a) := by simp [head] #align stream.wseq.head_cons Stream'.WSeq.head_cons @[simp] theorem head_think (s : WSeq α) : head (think s) = (head s).think := by simp [head] #align stream.wseq.head_think Stream'.WSeq.head_think @[simp] theorem flatten_pure (s : WSeq α) : flatten (Computation.pure s) = s := by refine Seq.eq_of_bisim (fun s1 s2 => flatten (Computation.pure s2) = s1) ?_ rfl intro s' s h rw [← h] simp only [Seq.BisimO, flatten, Seq.omap, pure_def, Seq.corec_eq, destruct_pure] cases Seq.destruct s with | none => simp | some val => cases' val with o s' simp #align stream.wseq.flatten_ret Stream'.WSeq.flatten_pure @[simp] theorem flatten_think (c : Computation (WSeq α)) : flatten c.think = think (flatten c) := Seq.destruct_eq_cons <| by simp [flatten, think] #align stream.wseq.flatten_think Stream'.WSeq.flatten_think @[simp] theorem destruct_flatten (c : Computation (WSeq α)) : destruct (flatten c) = c >>= destruct := by refine Computation.eq_of_bisim (fun c1 c2 => c1 = c2 ∨ ∃ c, c1 = destruct (flatten c) ∧ c2 = Computation.bind c destruct) ?_ (Or.inr ⟨c, rfl, rfl⟩) intro c1 c2 h exact match c1, c2, h with | c, _, Or.inl rfl => by cases c.destruct <;> simp | _, _, Or.inr ⟨c, rfl, rfl⟩ => by induction' c using Computation.recOn with a c' <;> simp · cases (destruct a).destruct <;> simp · exact Or.inr ⟨c', rfl, rfl⟩ #align stream.wseq.destruct_flatten Stream'.WSeq.destruct_flatten theorem head_terminates_iff (s : WSeq α) : Terminates (head s) ↔ Terminates (destruct s) := terminates_map_iff _ (destruct s) #align stream.wseq.head_terminates_iff Stream'.WSeq.head_terminates_iff @[simp] theorem tail_nil : tail (nil : WSeq α) = nil := by simp [tail] #align stream.wseq.tail_nil Stream'.WSeq.tail_nil @[simp] theorem tail_cons (a : α) (s) : tail (cons a s) = s := by simp [tail] #align stream.wseq.tail_cons Stream'.WSeq.tail_cons @[simp] theorem tail_think (s : WSeq α) : tail (think s) = (tail s).think := by simp [tail] #align stream.wseq.tail_think Stream'.WSeq.tail_think @[simp] theorem dropn_nil (n) : drop (nil : WSeq α) n = nil := by induction n <;> simp [*, drop] #align stream.wseq.dropn_nil Stream'.WSeq.dropn_nil @[simp] theorem dropn_cons (a : α) (s) (n) : drop (cons a s) (n + 1) = drop s n := by induction n with | zero => simp [drop] | succ n n_ih => -- porting note (#10745): was `simp [*, drop]`. simp [drop, ← n_ih] #align stream.wseq.dropn_cons Stream'.WSeq.dropn_cons @[simp] theorem dropn_think (s : WSeq α) (n) : drop (think s) n = (drop s n).think := by induction n <;> simp [*, drop] #align stream.wseq.dropn_think Stream'.WSeq.dropn_think theorem dropn_add (s : WSeq α) (m) : ∀ n, drop s (m + n) = drop (drop s m) n | 0 => rfl | n + 1 => congr_arg tail (dropn_add s m n) #align stream.wseq.dropn_add Stream'.WSeq.dropn_add theorem dropn_tail (s : WSeq α) (n) : drop (tail s) n = drop s (n + 1) := by rw [Nat.add_comm] symm apply dropn_add #align stream.wseq.dropn_tail Stream'.WSeq.dropn_tail theorem get?_add (s : WSeq α) (m n) : get? s (m + n) = get? (drop s m) n := congr_arg head (dropn_add _ _ _) #align stream.wseq.nth_add Stream'.WSeq.get?_add theorem get?_tail (s : WSeq α) (n) : get? (tail s) n = get? s (n + 1) := congr_arg head (dropn_tail _ _) #align stream.wseq.nth_tail Stream'.WSeq.get?_tail @[simp] theorem join_nil : join nil = (nil : WSeq α) := Seq.join_nil #align stream.wseq.join_nil Stream'.WSeq.join_nil @[simp] theorem join_think (S : WSeq (WSeq α)) : join (think S) = think (join S) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, Seq1.ret] #align stream.wseq.join_think Stream'.WSeq.join_think @[simp] theorem join_cons (s : WSeq α) (S) : join (cons s S) = think (append s (join S)) := by simp only [join, think] dsimp only [(· <$> ·)] simp [join, cons, append] #align stream.wseq.join_cons Stream'.WSeq.join_cons @[simp] theorem nil_append (s : WSeq α) : append nil s = s := Seq.nil_append _ #align stream.wseq.nil_append Stream'.WSeq.nil_append @[simp] theorem cons_append (a : α) (s t) : append (cons a s) t = cons a (append s t) := Seq.cons_append _ _ _ #align stream.wseq.cons_append Stream'.WSeq.cons_append @[simp] theorem think_append (s t : WSeq α) : append (think s) t = think (append s t) := Seq.cons_append _ _ _ #align stream.wseq.think_append Stream'.WSeq.think_append @[simp] theorem append_nil (s : WSeq α) : append s nil = s := Seq.append_nil _ #align stream.wseq.append_nil Stream'.WSeq.append_nil @[simp] theorem append_assoc (s t u : WSeq α) : append (append s t) u = append s (append t u) := Seq.append_assoc _ _ _ #align stream.wseq.append_assoc Stream'.WSeq.append_assoc @[simp] def tail.aux : Option (α × WSeq α) → Computation (Option (α × WSeq α)) | none => Computation.pure none | some (_, s) => destruct s #align stream.wseq.tail.aux Stream'.WSeq.tail.aux theorem destruct_tail (s : WSeq α) : destruct (tail s) = destruct s >>= tail.aux := by simp only [tail, destruct_flatten, tail.aux]; rw [← bind_pure_comp, LawfulMonad.bind_assoc] apply congr_arg; ext1 (_ | ⟨a, s⟩) <;> apply (@pure_bind Computation _ _ _ _ _ _).trans _ <;> simp #align stream.wseq.destruct_tail Stream'.WSeq.destruct_tail @[simp] def drop.aux : ℕ → Option (α × WSeq α) → Computation (Option (α × WSeq α)) | 0 => Computation.pure | n + 1 => fun a => tail.aux a >>= drop.aux n #align stream.wseq.drop.aux Stream'.WSeq.drop.aux theorem drop.aux_none : ∀ n, @drop.aux α n none = Computation.pure none | 0 => rfl | n + 1 => show Computation.bind (Computation.pure none) (drop.aux n) = Computation.pure none by rw [ret_bind, drop.aux_none n] #align stream.wseq.drop.aux_none Stream'.WSeq.drop.aux_none theorem destruct_dropn : ∀ (s : WSeq α) (n), destruct (drop s n) = destruct s >>= drop.aux n | s, 0 => (bind_pure' _).symm | s, n + 1 => by rw [← dropn_tail, destruct_dropn _ n, destruct_tail, LawfulMonad.bind_assoc] rfl #align stream.wseq.destruct_dropn Stream'.WSeq.destruct_dropn theorem head_terminates_of_head_tail_terminates (s : WSeq α) [T : Terminates (head (tail s))] : Terminates (head s) := (head_terminates_iff _).2 <| by rcases (head_terminates_iff _).1 T with ⟨⟨a, h⟩⟩ simp? [tail] at h says simp only [tail, destruct_flatten] at h rcases exists_of_mem_bind h with ⟨s', h1, _⟩ unfold Functor.map at h1 exact let ⟨t, h3, _⟩ := Computation.exists_of_mem_map h1 Computation.terminates_of_mem h3 #align stream.wseq.head_terminates_of_head_tail_terminates Stream'.WSeq.head_terminates_of_head_tail_terminates theorem destruct_some_of_destruct_tail_some {s : WSeq α} {a} (h : some a ∈ destruct (tail s)) : ∃ a', some a' ∈ destruct s := by unfold tail Functor.map at h; simp only [destruct_flatten] at h rcases exists_of_mem_bind h with ⟨t, tm, td⟩; clear h rcases Computation.exists_of_mem_map tm with ⟨t', ht', ht2⟩; clear tm cases' t' with t' <;> rw [← ht2] at td <;> simp only [destruct_nil] at td · have := mem_unique td (ret_mem _) contradiction · exact ⟨_, ht'⟩ #align stream.wseq.destruct_some_of_destruct_tail_some Stream'.WSeq.destruct_some_of_destruct_tail_some theorem head_some_of_head_tail_some {s : WSeq α} {a} (h : some a ∈ head (tail s)) : ∃ a', some a' ∈ head s := by unfold head at h rcases Computation.exists_of_mem_map h with ⟨o, md, e⟩; clear h cases' o with o <;> [injection e; injection e with h']; clear h' cases' destruct_some_of_destruct_tail_some md with a am exact ⟨_, Computation.mem_map (@Prod.fst α (WSeq α) <$> ·) am⟩ #align stream.wseq.head_some_of_head_tail_some Stream'.WSeq.head_some_of_head_tail_some theorem head_some_of_get?_some {s : WSeq α} {a n} (h : some a ∈ get? s n) : ∃ a', some a' ∈ head s := by induction n generalizing a with | zero => exact ⟨_, h⟩ | succ n IH => let ⟨a', h'⟩ := head_some_of_head_tail_some h exact IH h' #align stream.wseq.head_some_of_nth_some Stream'.WSeq.head_some_of_get?_some instance productive_tail (s : WSeq α) [Productive s] : Productive (tail s) := ⟨fun n => by rw [get?_tail]; infer_instance⟩ #align stream.wseq.productive_tail Stream'.WSeq.productive_tail instance productive_dropn (s : WSeq α) [Productive s] (n) : Productive (drop s n) := ⟨fun m => by rw [← get?_add]; infer_instance⟩ #align stream.wseq.productive_dropn Stream'.WSeq.productive_dropn def toSeq (s : WSeq α) [Productive s] : Seq α := ⟨fun n => (get? s n).get, fun {n} h => by cases e : Computation.get (get? s (n + 1)) · assumption have := Computation.mem_of_get_eq _ e simp? [get?] at this h says simp only [get?] at this h cases' head_some_of_head_tail_some this with a' h' have := mem_unique h' (@Computation.mem_of_get_eq _ _ _ _ h) contradiction⟩ #align stream.wseq.to_seq Stream'.WSeq.toSeq theorem get?_terminates_le {s : WSeq α} {m n} (h : m ≤ n) : Terminates (get? s n) → Terminates (get? s m) := by induction' h with m' _ IH exacts [id, fun T => IH (@head_terminates_of_head_tail_terminates _ _ T)] #align stream.wseq.nth_terminates_le Stream'.WSeq.get?_terminates_le theorem head_terminates_of_get?_terminates {s : WSeq α} {n} : Terminates (get? s n) → Terminates (head s) := get?_terminates_le (Nat.zero_le n) #align stream.wseq.head_terminates_of_nth_terminates Stream'.WSeq.head_terminates_of_get?_terminates theorem destruct_terminates_of_get?_terminates {s : WSeq α} {n} (T : Terminates (get? s n)) : Terminates (destruct s) := (head_terminates_iff _).1 <| head_terminates_of_get?_terminates T #align stream.wseq.destruct_terminates_of_nth_terminates Stream'.WSeq.destruct_terminates_of_get?_terminates theorem mem_rec_on {C : WSeq α → Prop} {a s} (M : a ∈ s) (h1 : ∀ b s', a = b ∨ C s' → C (cons b s')) (h2 : ∀ s, C s → C (think s)) : C s := by apply Seq.mem_rec_on M intro o s' h; cases' o with b · apply h2 cases h · contradiction · assumption · apply h1 apply Or.imp_left _ h intro h injection h #align stream.wseq.mem_rec_on Stream'.WSeq.mem_rec_on @[simp] theorem mem_think (s : WSeq α) (a) : a ∈ think s ↔ a ∈ s := by cases' s with f al change (some (some a) ∈ some none::f) ↔ some (some a) ∈ f constructor <;> intro h · apply (Stream'.eq_or_mem_of_mem_cons h).resolve_left intro injections · apply Stream'.mem_cons_of_mem _ h #align stream.wseq.mem_think Stream'.WSeq.mem_think theorem eq_or_mem_iff_mem {s : WSeq α} {a a' s'} : some (a', s') ∈ destruct s → (a ∈ s ↔ a = a' ∨ a ∈ s') := by generalize e : destruct s = c; intro h revert s apply Computation.memRecOn h <;> [skip; intro c IH] <;> intro s <;> induction' s using WSeq.recOn with x s s <;> intro m <;> have := congr_arg Computation.destruct m <;> simp at this · cases' this with i1 i2 rw [i1, i2] cases' s' with f al dsimp only [cons, (· ∈ ·), WSeq.Mem, Seq.Mem, Seq.cons] have h_a_eq_a' : a = a' ↔ some (some a) = some (some a') := by simp rw [h_a_eq_a'] refine ⟨Stream'.eq_or_mem_of_mem_cons, fun o => ?_⟩ · cases' o with e m · rw [e] apply Stream'.mem_cons · exact Stream'.mem_cons_of_mem _ m · simp [IH this] #align stream.wseq.eq_or_mem_iff_mem Stream'.WSeq.eq_or_mem_iff_mem @[simp] theorem mem_cons_iff (s : WSeq α) (b) {a} : a ∈ cons b s ↔ a = b ∨ a ∈ s := eq_or_mem_iff_mem <| by simp [ret_mem] #align stream.wseq.mem_cons_iff Stream'.WSeq.mem_cons_iff theorem mem_cons_of_mem {s : WSeq α} (b) {a} (h : a ∈ s) : a ∈ cons b s := (mem_cons_iff _ _).2 (Or.inr h) #align stream.wseq.mem_cons_of_mem Stream'.WSeq.mem_cons_of_mem theorem mem_cons (s : WSeq α) (a) : a ∈ cons a s := (mem_cons_iff _ _).2 (Or.inl rfl) #align stream.wseq.mem_cons Stream'.WSeq.mem_cons theorem mem_of_mem_tail {s : WSeq α} {a} : a ∈ tail s → a ∈ s := by intro h; have := h; cases' h with n e; revert s; simp only [Stream'.get] induction' n with n IH <;> intro s <;> induction' s using WSeq.recOn with x s s <;> simp <;> intro m e <;> injections · exact Or.inr m · exact Or.inr m · apply IH m rw [e] cases tail s rfl #align stream.wseq.mem_of_mem_tail Stream'.WSeq.mem_of_mem_tail theorem mem_of_mem_dropn {s : WSeq α} {a} : ∀ {n}, a ∈ drop s n → a ∈ s | 0, h => h | n + 1, h => @mem_of_mem_dropn s a n (mem_of_mem_tail h) #align stream.wseq.mem_of_mem_dropn Stream'.WSeq.mem_of_mem_dropn theorem get?_mem {s : WSeq α} {a n} : some a ∈ get? s n → a ∈ s := by revert s; induction' n with n IH <;> intro s h · -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h rcases Computation.exists_of_mem_map h with ⟨o, h1, h2⟩ cases' o with o · injection h2 injection h2 with h' cases' o with a' s' exact (eq_or_mem_iff_mem h1).2 (Or.inl h'.symm) · have := @IH (tail s) rw [get?_tail] at this exact mem_of_mem_tail (this h) #align stream.wseq.nth_mem Stream'.WSeq.get?_mem theorem exists_get?_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n, some a ∈ get? s n := by apply mem_rec_on h · intro a' s' h cases' h with h h · exists 0 simp only [get?, drop, head_cons] rw [h] apply ret_mem · cases' h with n h exists n + 1 -- porting note (#10745): was `simp [get?]`. simpa [get?] · intro s' h cases' h with n h exists n simp only [get?, dropn_think, head_think] apply think_mem h #align stream.wseq.exists_nth_of_mem Stream'.WSeq.exists_get?_of_mem theorem exists_dropn_of_mem {s : WSeq α} {a} (h : a ∈ s) : ∃ n s', some (a, s') ∈ destruct (drop s n) := let ⟨n, h⟩ := exists_get?_of_mem h ⟨n, by rcases (head_terminates_iff _).1 ⟨⟨_, h⟩⟩ with ⟨⟨o, om⟩⟩ have := Computation.mem_unique (Computation.mem_map _ om) h cases' o with o · injection this injection this with i cases' o with a' s' dsimp at i rw [i] at om exact ⟨_, om⟩⟩ #align stream.wseq.exists_dropn_of_mem Stream'.WSeq.exists_dropn_of_mem theorem liftRel_dropn_destruct {R : α → β → Prop} {s t} (H : LiftRel R s t) : ∀ n, Computation.LiftRel (LiftRelO R (LiftRel R)) (destruct (drop s n)) (destruct (drop t n)) | 0 => liftRel_destruct H | n + 1 => by simp only [LiftRelO, drop, Nat.add_eq, Nat.add_zero, destruct_tail, tail.aux] apply liftRel_bind · apply liftRel_dropn_destruct H n exact fun {a b} o => match a, b, o with | none, none, _ => by -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] | some (a, s), some (b, t), ⟨_, h2⟩ => by simpa [tail.aux] using liftRel_destruct h2 #align stream.wseq.lift_rel_dropn_destruct Stream'.WSeq.liftRel_dropn_destruct theorem exists_of_liftRel_left {R : α → β → Prop} {s t} (H : LiftRel R s t) {a} (h : a ∈ s) : ∃ b, b ∈ t ∧ R a b := by let ⟨n, h⟩ := exists_get?_of_mem h -- Porting note: This line is required to infer metavariables in -- `Computation.exists_of_mem_map`. dsimp only [get?, head] at h let ⟨some (_, s'), sd, rfl⟩ := Computation.exists_of_mem_map h let ⟨some (b, t'), td, ⟨ab, _⟩⟩ := (liftRel_dropn_destruct H n).left sd exact ⟨b, get?_mem (Computation.mem_map (Prod.fst.{v, v} <$> ·) td), ab⟩ #align stream.wseq.exists_of_lift_rel_left Stream'.WSeq.exists_of_liftRel_left theorem exists_of_liftRel_right {R : α → β → Prop} {s t} (H : LiftRel R s t) {b} (h : b ∈ t) : ∃ a, a ∈ s ∧ R a b := by rw [← LiftRel.swap] at H; exact exists_of_liftRel_left H h #align stream.wseq.exists_of_lift_rel_right Stream'.WSeq.exists_of_liftRel_right theorem head_terminates_of_mem {s : WSeq α} {a} (h : a ∈ s) : Terminates (head s) := let ⟨_, h⟩ := exists_get?_of_mem h head_terminates_of_get?_terminates ⟨⟨_, h⟩⟩ #align stream.wseq.head_terminates_of_mem Stream'.WSeq.head_terminates_of_mem theorem of_mem_append {s₁ s₂ : WSeq α} {a : α} : a ∈ append s₁ s₂ → a ∈ s₁ ∨ a ∈ s₂ := Seq.of_mem_append #align stream.wseq.of_mem_append Stream'.WSeq.of_mem_append theorem mem_append_left {s₁ s₂ : WSeq α} {a : α} : a ∈ s₁ → a ∈ append s₁ s₂ := Seq.mem_append_left #align stream.wseq.mem_append_left Stream'.WSeq.mem_append_left theorem exists_of_mem_map {f} {b : β} : ∀ {s : WSeq α}, b ∈ map f s → ∃ a, a ∈ s ∧ f a = b | ⟨g, al⟩, h => by let ⟨o, om, oe⟩ := Seq.exists_of_mem_map h cases' o with a · injection oe injection oe with h' exact ⟨a, om, h'⟩ #align stream.wseq.exists_of_mem_map Stream'.WSeq.exists_of_mem_map @[simp] theorem liftRel_nil (R : α → β → Prop) : LiftRel R nil nil := by rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] #align stream.wseq.lift_rel_nil Stream'.WSeq.liftRel_nil @[simp] theorem liftRel_cons (R : α → β → Prop) (a b s t) : LiftRel R (cons a s) (cons b t) ↔ R a b ∧ LiftRel R s t := by rw [liftRel_destruct_iff] -- Porting note: These 2 theorems should be excluded. simp [-liftRel_pure_left, -liftRel_pure_right] #align stream.wseq.lift_rel_cons Stream'.WSeq.liftRel_cons @[simp] theorem liftRel_think_left (R : α → β → Prop) (s t) : LiftRel R (think s) t ↔ LiftRel R s t := by rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp #align stream.wseq.lift_rel_think_left Stream'.WSeq.liftRel_think_left @[simp] theorem liftRel_think_right (R : α → β → Prop) (s t) : LiftRel R s (think t) ↔ LiftRel R s t := by rw [liftRel_destruct_iff, liftRel_destruct_iff]; simp #align stream.wseq.lift_rel_think_right Stream'.WSeq.liftRel_think_right theorem cons_congr {s t : WSeq α} (a : α) (h : s ~ʷ t) : cons a s ~ʷ cons a t := by unfold Equiv; simpa using h #align stream.wseq.cons_congr Stream'.WSeq.cons_congr theorem think_equiv (s : WSeq α) : think s ~ʷ s := by unfold Equiv; simpa using Equiv.refl _ #align stream.wseq.think_equiv Stream'.WSeq.think_equiv theorem think_congr {s t : WSeq α} (h : s ~ʷ t) : think s ~ʷ think t := by unfold Equiv; simpa using h #align stream.wseq.think_congr Stream'.WSeq.think_congr theorem head_congr : ∀ {s t : WSeq α}, s ~ʷ t → head s ~ head t := by suffices ∀ {s t : WSeq α}, s ~ʷ t → ∀ {o}, o ∈ head s → o ∈ head t from fun s t h o => ⟨this h, this h.symm⟩ intro s t h o ho rcases @Computation.exists_of_mem_map _ _ _ _ (destruct s) ho with ⟨ds, dsm, dse⟩ rw [← dse] cases' destruct_congr h with l r rcases l dsm with ⟨dt, dtm, dst⟩ cases' ds with a <;> cases' dt with b · apply Computation.mem_map _ dtm · cases b cases dst · cases a cases dst · cases' a with a s' cases' b with b t' rw [dst.left] exact @Computation.mem_map _ _ (@Functor.map _ _ (α × WSeq α) _ Prod.fst) (some (b, t')) (destruct t) dtm #align stream.wseq.head_congr Stream'.WSeq.head_congr theorem flatten_equiv {c : Computation (WSeq α)} {s} (h : s ∈ c) : flatten c ~ʷ s := by apply Computation.memRecOn h · simp [Equiv.refl] · intro s' apply Equiv.trans simp [think_equiv] #align stream.wseq.flatten_equiv Stream'.WSeq.flatten_equiv theorem liftRel_flatten {R : α → β → Prop} {c1 : Computation (WSeq α)} {c2 : Computation (WSeq β)} (h : c1.LiftRel (LiftRel R) c2) : LiftRel R (flatten c1) (flatten c2) := let S s t := ∃ c1 c2, s = flatten c1 ∧ t = flatten c2 ∧ Computation.LiftRel (LiftRel R) c1 c2 ⟨S, ⟨c1, c2, rfl, rfl, h⟩, fun {s t} h => match s, t, h with | _, _, ⟨c1, c2, rfl, rfl, h⟩ => by simp only [destruct_flatten]; apply liftRel_bind _ _ h intro a b ab; apply Computation.LiftRel.imp _ _ _ (liftRel_destruct ab) intro a b; apply LiftRelO.imp_right intro s t h; refine ⟨Computation.pure s, Computation.pure t, ?_, ?_, ?_⟩ <;> -- Porting note: These 2 theorems should be excluded. simp [h, -liftRel_pure_left, -liftRel_pure_right]⟩ #align stream.wseq.lift_rel_flatten Stream'.WSeq.liftRel_flatten theorem flatten_congr {c1 c2 : Computation (WSeq α)} : Computation.LiftRel Equiv c1 c2 → flatten c1 ~ʷ flatten c2 := liftRel_flatten #align stream.wseq.flatten_congr Stream'.WSeq.flatten_congr theorem tail_congr {s t : WSeq α} (h : s ~ʷ t) : tail s ~ʷ tail t := by apply flatten_congr dsimp only [(· <$> ·)]; rw [← Computation.bind_pure, ← Computation.bind_pure] apply liftRel_bind _ _ (destruct_congr h) intro a b h; simp only [comp_apply, liftRel_pure] cases' a with a <;> cases' b with b · trivial · cases h · cases a cases h · cases' a with a s' cases' b with b t' exact h.right #align stream.wseq.tail_congr Stream'.WSeq.tail_congr theorem dropn_congr {s t : WSeq α} (h : s ~ʷ t) (n) : drop s n ~ʷ drop t n := by induction n <;> simp [*, tail_congr, drop] #align stream.wseq.dropn_congr Stream'.WSeq.dropn_congr theorem get?_congr {s t : WSeq α} (h : s ~ʷ t) (n) : get? s n ~ get? t n := head_congr (dropn_congr h _) #align stream.wseq.nth_congr Stream'.WSeq.get?_congr theorem mem_congr {s t : WSeq α} (h : s ~ʷ t) (a) : a ∈ s ↔ a ∈ t := suffices ∀ {s t : WSeq α}, s ~ʷ t → a ∈ s → a ∈ t from ⟨this h, this h.symm⟩ fun {_ _} h as => let ⟨_, hn⟩ := exists_get?_of_mem as get?_mem ((get?_congr h _ _).1 hn) #align stream.wseq.mem_congr Stream'.WSeq.mem_congr theorem productive_congr {s t : WSeq α} (h : s ~ʷ t) : Productive s ↔ Productive t := by simp only [productive_iff]; exact forall_congr' fun n => terminates_congr <| get?_congr h _ #align stream.wseq.productive_congr Stream'.WSeq.productive_congr theorem Equiv.ext {s t : WSeq α} (h : ∀ n, get? s n ~ get? t n) : s ~ʷ t := ⟨fun s t => ∀ n, get? s n ~ get? t n, h, fun {s t} h => by refine liftRel_def.2 ⟨?_, ?_⟩ · rw [← head_terminates_iff, ← head_terminates_iff] exact terminates_congr (h 0) · intro a b ma mb cases' a with a <;> cases' b with b · trivial · injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb)) · injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb)) · cases' a with a s' cases' b with b t' injection mem_unique (Computation.mem_map _ ma) ((h 0 _).2 (Computation.mem_map _ mb)) with ab refine ⟨ab, fun n => ?_⟩ refine (get?_congr (flatten_equiv (Computation.mem_map _ ma)) n).symm.trans ((?_ : get? (tail s) n ~ get? (tail t) n).trans (get?_congr (flatten_equiv (Computation.mem_map _ mb)) n)) rw [get?_tail, get?_tail] apply h⟩ #align stream.wseq.equiv.ext Stream'.WSeq.Equiv.ext theorem length_eq_map (s : WSeq α) : length s = Computation.map List.length (toList s) := by refine Computation.eq_of_bisim (fun c1 c2 => ∃ (l : List α) (s : WSeq α), c1 = Computation.corec (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')) (l.length, s) ∧ c2 = Computation.map List.length (Computation.corec (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')) (l, s))) ?_ ⟨[], s, rfl, rfl⟩ intro s1 s2 h; rcases h with ⟨l, s, h⟩; rw [h.left, h.right] induction' s using WSeq.recOn with a s s <;> simp [toList, nil, cons, think, length] · refine ⟨a::l, s, ?_, ?_⟩ <;> simp · refine ⟨l, s, ?_, ?_⟩ <;> simp #align stream.wseq.length_eq_map Stream'.WSeq.length_eq_map @[simp] theorem ofList_nil : ofList [] = (nil : WSeq α) := rfl #align stream.wseq.of_list_nil Stream'.WSeq.ofList_nil @[simp] theorem ofList_cons (a : α) (l) : ofList (a::l) = cons a (ofList l) := show Seq.map some (Seq.ofList (a::l)) = Seq.cons (some a) (Seq.map some (Seq.ofList l)) by simp #align stream.wseq.of_list_cons Stream'.WSeq.ofList_cons @[simp] theorem toList'_nil (l : List α) : Computation.corec (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')) (l, nil) = Computation.pure l.reverse := destruct_eq_pure rfl #align stream.wseq.to_list'_nil Stream'.WSeq.toList'_nil @[simp] theorem toList'_cons (l : List α) (s : WSeq α) (a : α) : Computation.corec (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')) (l, cons a s) = (Computation.corec (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')) (a::l, s)).think := destruct_eq_think <| by simp [toList, cons] #align stream.wseq.to_list'_cons Stream'.WSeq.toList'_cons @[simp] theorem toList'_think (l : List α) (s : WSeq α) : Computation.corec (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')) (l, think s) = (Computation.corec (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')) (l, s)).think := destruct_eq_think <| by simp [toList, think] #align stream.wseq.to_list'_think Stream'.WSeq.toList'_think theorem toList'_map (l : List α) (s : WSeq α) : Computation.corec (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')) (l, s) = (l.reverse ++ ·) <$> toList s := by refine Computation.eq_of_bisim (fun c1 c2 => ∃ (l' : List α) (s : WSeq α), c1 = Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l' ++ l, s) ∧ c2 = Computation.map (l.reverse ++ ·) (Computation.corec (fun ⟨l, s⟩ => match Seq.destruct s with | none => Sum.inl l.reverse | some (none, s') => Sum.inr (l, s') | some (some a, s') => Sum.inr (a::l, s')) (l', s))) ?_ ⟨[], s, rfl, rfl⟩ intro s1 s2 h; rcases h with ⟨l', s, h⟩; rw [h.left, h.right] induction' s using WSeq.recOn with a s s <;> simp [toList, nil, cons, think, length] · refine ⟨a::l', s, ?_, ?_⟩ <;> simp · refine ⟨l', s, ?_, ?_⟩ <;> simp #align stream.wseq.to_list'_map Stream'.WSeq.toList'_map @[simp] theorem toList_cons (a : α) (s) : toList (cons a s) = (List.cons a <$> toList s).think := destruct_eq_think <| by unfold toList simp only [toList'_cons, Computation.destruct_think, Sum.inr.injEq] rw [toList'_map] simp only [List.reverse_cons, List.reverse_nil, List.nil_append, List.singleton_append] rfl #align stream.wseq.to_list_cons Stream'.WSeq.toList_cons @[simp] theorem toList_nil : toList (nil : WSeq α) = Computation.pure [] := destruct_eq_pure rfl #align stream.wseq.to_list_nil Stream'.WSeq.toList_nil theorem toList_ofList (l : List α) : l ∈ toList (ofList l) := by induction' l with a l IH <;> simp [ret_mem]; exact think_mem (Computation.mem_map _ IH) #align stream.wseq.to_list_of_list Stream'.WSeq.toList_ofList @[simp] theorem destruct_ofSeq (s : Seq α) : destruct (ofSeq s) = Computation.pure (s.head.map fun a => (a, ofSeq s.tail)) := destruct_eq_pure <| by simp only [destruct, Seq.destruct, Option.map_eq_map, ofSeq, Computation.corec_eq, rmap, Seq.head] rw [show Seq.get? (some <$> s) 0 = some <$> Seq.get? s 0 by apply Seq.map_get?] cases' Seq.get? s 0 with a · rfl dsimp only [(· <$> ·)] simp [destruct] #align stream.wseq.destruct_of_seq Stream'.WSeq.destruct_ofSeq @[simp] theorem head_ofSeq (s : Seq α) : head (ofSeq s) = Computation.pure s.head := by simp only [head, Option.map_eq_map, destruct_ofSeq, Computation.map_pure, Option.map_map] cases Seq.head s <;> rfl #align stream.wseq.head_of_seq Stream'.WSeq.head_ofSeq @[simp]
Mathlib/Data/Seq/WSeq.lean
1,369
1,373
theorem tail_ofSeq (s : Seq α) : tail (ofSeq s) = ofSeq s.tail := by
simp only [tail, destruct_ofSeq, map_pure', flatten_pure] induction' s using Seq.recOn with x s <;> simp only [ofSeq, Seq.tail_nil, Seq.head_nil, Option.map_none', Seq.tail_cons, Seq.head_cons, Option.map_some'] · rfl
import Mathlib.Data.Finsupp.Multiset import Mathlib.Order.Bounded import Mathlib.SetTheory.Cardinal.PartENat import Mathlib.SetTheory.Ordinal.Principal import Mathlib.Tactic.Linarith #align_import set_theory.cardinal.ordinal from "leanprover-community/mathlib"@"7c2ce0c2da15516b4e65d0c9e254bb6dc93abd1f" noncomputable section open Function Set Cardinal Equiv Order Ordinal open scoped Classical universe u v w namespace Cardinal section UsingOrdinals theorem ord_isLimit {c} (co : ℵ₀ ≤ c) : (ord c).IsLimit := by refine ⟨fun h => aleph0_ne_zero ?_, fun a => lt_imp_lt_of_le_imp_le fun h => ?_⟩ · rw [← Ordinal.le_zero, ord_le] at h simpa only [card_zero, nonpos_iff_eq_zero] using co.trans h · rw [ord_le] at h ⊢ rwa [← @add_one_of_aleph0_le (card a), ← card_succ] rw [← ord_le, ← le_succ_of_isLimit, ord_le] · exact co.trans h · rw [ord_aleph0] exact omega_isLimit #align cardinal.ord_is_limit Cardinal.ord_isLimit theorem noMaxOrder {c} (h : ℵ₀ ≤ c) : NoMaxOrder c.ord.out.α := Ordinal.out_no_max_of_succ_lt (ord_isLimit h).2 section aleph def alephIdx.initialSeg : @InitialSeg Cardinal Ordinal (· < ·) (· < ·) := @RelEmbedding.collapse Cardinal Ordinal (· < ·) (· < ·) _ Cardinal.ord.orderEmbedding.ltEmbedding #align cardinal.aleph_idx.initial_seg Cardinal.alephIdx.initialSeg def alephIdx : Cardinal → Ordinal := alephIdx.initialSeg #align cardinal.aleph_idx Cardinal.alephIdx @[simp] theorem alephIdx.initialSeg_coe : (alephIdx.initialSeg : Cardinal → Ordinal) = alephIdx := rfl #align cardinal.aleph_idx.initial_seg_coe Cardinal.alephIdx.initialSeg_coe @[simp] theorem alephIdx_lt {a b} : alephIdx a < alephIdx b ↔ a < b := alephIdx.initialSeg.toRelEmbedding.map_rel_iff #align cardinal.aleph_idx_lt Cardinal.alephIdx_lt @[simp] theorem alephIdx_le {a b} : alephIdx a ≤ alephIdx b ↔ a ≤ b := by rw [← not_lt, ← not_lt, alephIdx_lt] #align cardinal.aleph_idx_le Cardinal.alephIdx_le theorem alephIdx.init {a b} : b < alephIdx a → ∃ c, alephIdx c = b := alephIdx.initialSeg.init #align cardinal.aleph_idx.init Cardinal.alephIdx.init def alephIdx.relIso : @RelIso Cardinal.{u} Ordinal.{u} (· < ·) (· < ·) := @RelIso.ofSurjective Cardinal.{u} Ordinal.{u} (· < ·) (· < ·) alephIdx.initialSeg.{u} <| (InitialSeg.eq_or_principal alephIdx.initialSeg.{u}).resolve_right fun ⟨o, e⟩ => by have : ∀ c, alephIdx c < o := fun c => (e _).2 ⟨_, rfl⟩ refine Ordinal.inductionOn o ?_ this; intro α r _ h let s := ⨆ a, invFun alephIdx (Ordinal.typein r a) apply (lt_succ s).not_le have I : Injective.{u+2, u+2} alephIdx := alephIdx.initialSeg.toEmbedding.injective simpa only [typein_enum, leftInverse_invFun I (succ s)] using le_ciSup (Cardinal.bddAbove_range.{u, u} fun a : α => invFun alephIdx (Ordinal.typein r a)) (Ordinal.enum r _ (h (succ s))) #align cardinal.aleph_idx.rel_iso Cardinal.alephIdx.relIso @[simp] theorem alephIdx.relIso_coe : (alephIdx.relIso : Cardinal → Ordinal) = alephIdx := rfl #align cardinal.aleph_idx.rel_iso_coe Cardinal.alephIdx.relIso_coe @[simp] theorem type_cardinal : @type Cardinal (· < ·) _ = Ordinal.univ.{u, u + 1} := by rw [Ordinal.univ_id]; exact Quotient.sound ⟨alephIdx.relIso⟩ #align cardinal.type_cardinal Cardinal.type_cardinal @[simp] theorem mk_cardinal : #Cardinal = univ.{u, u + 1} := by simpa only [card_type, card_univ] using congr_arg card type_cardinal #align cardinal.mk_cardinal Cardinal.mk_cardinal def Aleph'.relIso := Cardinal.alephIdx.relIso.symm #align cardinal.aleph'.rel_iso Cardinal.Aleph'.relIso def aleph' : Ordinal → Cardinal := Aleph'.relIso #align cardinal.aleph' Cardinal.aleph' @[simp] theorem aleph'.relIso_coe : (Aleph'.relIso : Ordinal → Cardinal) = aleph' := rfl #align cardinal.aleph'.rel_iso_coe Cardinal.aleph'.relIso_coe @[simp] theorem aleph'_lt {o₁ o₂ : Ordinal} : aleph' o₁ < aleph' o₂ ↔ o₁ < o₂ := Aleph'.relIso.map_rel_iff #align cardinal.aleph'_lt Cardinal.aleph'_lt @[simp] theorem aleph'_le {o₁ o₂ : Ordinal} : aleph' o₁ ≤ aleph' o₂ ↔ o₁ ≤ o₂ := le_iff_le_iff_lt_iff_lt.2 aleph'_lt #align cardinal.aleph'_le Cardinal.aleph'_le @[simp] theorem aleph'_alephIdx (c : Cardinal) : aleph' c.alephIdx = c := Cardinal.alephIdx.relIso.toEquiv.symm_apply_apply c #align cardinal.aleph'_aleph_idx Cardinal.aleph'_alephIdx @[simp] theorem alephIdx_aleph' (o : Ordinal) : (aleph' o).alephIdx = o := Cardinal.alephIdx.relIso.toEquiv.apply_symm_apply o #align cardinal.aleph_idx_aleph' Cardinal.alephIdx_aleph' @[simp] theorem aleph'_zero : aleph' 0 = 0 := by rw [← nonpos_iff_eq_zero, ← aleph'_alephIdx 0, aleph'_le] apply Ordinal.zero_le #align cardinal.aleph'_zero Cardinal.aleph'_zero @[simp] theorem aleph'_succ {o : Ordinal} : aleph' (succ o) = succ (aleph' o) := by apply (succ_le_of_lt <| aleph'_lt.2 <| lt_succ o).antisymm' (Cardinal.alephIdx_le.1 <| _) rw [alephIdx_aleph', succ_le_iff, ← aleph'_lt, aleph'_alephIdx] apply lt_succ #align cardinal.aleph'_succ Cardinal.aleph'_succ @[simp] theorem aleph'_nat : ∀ n : ℕ, aleph' n = n | 0 => aleph'_zero | n + 1 => show aleph' (succ n) = n.succ by rw [aleph'_succ, aleph'_nat n, nat_succ] #align cardinal.aleph'_nat Cardinal.aleph'_nat theorem aleph'_le_of_limit {o : Ordinal} (l : o.IsLimit) {c} : aleph' o ≤ c ↔ ∀ o' < o, aleph' o' ≤ c := ⟨fun h o' h' => (aleph'_le.2 <| h'.le).trans h, fun h => by rw [← aleph'_alephIdx c, aleph'_le, limit_le l] intro x h' rw [← aleph'_le, aleph'_alephIdx] exact h _ h'⟩ #align cardinal.aleph'_le_of_limit Cardinal.aleph'_le_of_limit theorem aleph'_limit {o : Ordinal} (ho : o.IsLimit) : aleph' o = ⨆ a : Iio o, aleph' a := by refine le_antisymm ?_ (ciSup_le' fun i => aleph'_le.2 (le_of_lt i.2)) rw [aleph'_le_of_limit ho] exact fun a ha => le_ciSup (bddAbove_of_small _) (⟨a, ha⟩ : Iio o) #align cardinal.aleph'_limit Cardinal.aleph'_limit @[simp] theorem aleph'_omega : aleph' ω = ℵ₀ := eq_of_forall_ge_iff fun c => by simp only [aleph'_le_of_limit omega_isLimit, lt_omega, exists_imp, aleph0_le] exact forall_swap.trans (forall_congr' fun n => by simp only [forall_eq, aleph'_nat]) #align cardinal.aleph'_omega Cardinal.aleph'_omega @[simp] def aleph'Equiv : Ordinal ≃ Cardinal := ⟨aleph', alephIdx, alephIdx_aleph', aleph'_alephIdx⟩ #align cardinal.aleph'_equiv Cardinal.aleph'Equiv def aleph (o : Ordinal) : Cardinal := aleph' (ω + o) #align cardinal.aleph Cardinal.aleph @[simp] theorem aleph_lt {o₁ o₂ : Ordinal} : aleph o₁ < aleph o₂ ↔ o₁ < o₂ := aleph'_lt.trans (add_lt_add_iff_left _) #align cardinal.aleph_lt Cardinal.aleph_lt @[simp] theorem aleph_le {o₁ o₂ : Ordinal} : aleph o₁ ≤ aleph o₂ ↔ o₁ ≤ o₂ := le_iff_le_iff_lt_iff_lt.2 aleph_lt #align cardinal.aleph_le Cardinal.aleph_le @[simp] theorem max_aleph_eq (o₁ o₂ : Ordinal) : max (aleph o₁) (aleph o₂) = aleph (max o₁ o₂) := by rcases le_total (aleph o₁) (aleph o₂) with h | h · rw [max_eq_right h, max_eq_right (aleph_le.1 h)] · rw [max_eq_left h, max_eq_left (aleph_le.1 h)] #align cardinal.max_aleph_eq Cardinal.max_aleph_eq @[simp] theorem aleph_succ {o : Ordinal} : aleph (succ o) = succ (aleph o) := by rw [aleph, add_succ, aleph'_succ, aleph] #align cardinal.aleph_succ Cardinal.aleph_succ @[simp] theorem aleph_zero : aleph 0 = ℵ₀ := by rw [aleph, add_zero, aleph'_omega] #align cardinal.aleph_zero Cardinal.aleph_zero theorem aleph_limit {o : Ordinal} (ho : o.IsLimit) : aleph o = ⨆ a : Iio o, aleph a := by apply le_antisymm _ (ciSup_le' _) · rw [aleph, aleph'_limit (ho.add _)] refine ciSup_mono' (bddAbove_of_small _) ?_ rintro ⟨i, hi⟩ cases' lt_or_le i ω with h h · rcases lt_omega.1 h with ⟨n, rfl⟩ use ⟨0, ho.pos⟩ simpa using (nat_lt_aleph0 n).le · exact ⟨⟨_, (sub_lt_of_le h).2 hi⟩, aleph'_le.2 (le_add_sub _ _)⟩ · exact fun i => aleph_le.2 (le_of_lt i.2) #align cardinal.aleph_limit Cardinal.aleph_limit theorem aleph0_le_aleph' {o : Ordinal} : ℵ₀ ≤ aleph' o ↔ ω ≤ o := by rw [← aleph'_omega, aleph'_le] #align cardinal.aleph_0_le_aleph' Cardinal.aleph0_le_aleph' theorem aleph0_le_aleph (o : Ordinal) : ℵ₀ ≤ aleph o := by rw [aleph, aleph0_le_aleph'] apply Ordinal.le_add_right #align cardinal.aleph_0_le_aleph Cardinal.aleph0_le_aleph theorem aleph'_pos {o : Ordinal} (ho : 0 < o) : 0 < aleph' o := by rwa [← aleph'_zero, aleph'_lt] #align cardinal.aleph'_pos Cardinal.aleph'_pos theorem aleph_pos (o : Ordinal) : 0 < aleph o := aleph0_pos.trans_le (aleph0_le_aleph o) #align cardinal.aleph_pos Cardinal.aleph_pos @[simp] theorem aleph_toNat (o : Ordinal) : toNat (aleph o) = 0 := toNat_apply_of_aleph0_le <| aleph0_le_aleph o #align cardinal.aleph_to_nat Cardinal.aleph_toNat @[simp] theorem aleph_toPartENat (o : Ordinal) : toPartENat (aleph o) = ⊤ := toPartENat_apply_of_aleph0_le <| aleph0_le_aleph o #align cardinal.aleph_to_part_enat Cardinal.aleph_toPartENat instance nonempty_out_aleph (o : Ordinal) : Nonempty (aleph o).ord.out.α := by rw [out_nonempty_iff_ne_zero, ← ord_zero] exact fun h => (ord_injective h).not_gt (aleph_pos o) #align cardinal.nonempty_out_aleph Cardinal.nonempty_out_aleph theorem ord_aleph_isLimit (o : Ordinal) : (aleph o).ord.IsLimit := ord_isLimit <| aleph0_le_aleph _ #align cardinal.ord_aleph_is_limit Cardinal.ord_aleph_isLimit instance (o : Ordinal) : NoMaxOrder (aleph o).ord.out.α := out_no_max_of_succ_lt (ord_aleph_isLimit o).2 theorem exists_aleph {c : Cardinal} : ℵ₀ ≤ c ↔ ∃ o, c = aleph o := ⟨fun h => ⟨alephIdx c - ω, by rw [aleph, Ordinal.add_sub_cancel_of_le, aleph'_alephIdx] rwa [← aleph0_le_aleph', aleph'_alephIdx]⟩, fun ⟨o, e⟩ => e.symm ▸ aleph0_le_aleph _⟩ #align cardinal.exists_aleph Cardinal.exists_aleph theorem aleph'_isNormal : IsNormal (ord ∘ aleph') := ⟨fun o => ord_lt_ord.2 <| aleph'_lt.2 <| lt_succ o, fun o l a => by simp [ord_le, aleph'_le_of_limit l]⟩ #align cardinal.aleph'_is_normal Cardinal.aleph'_isNormal theorem aleph_isNormal : IsNormal (ord ∘ aleph) := aleph'_isNormal.trans <| add_isNormal ω #align cardinal.aleph_is_normal Cardinal.aleph_isNormal
Mathlib/SetTheory/Cardinal/Ordinal.lean
344
344
theorem succ_aleph0 : succ ℵ₀ = aleph 1 := by
rw [← aleph_zero, ← aleph_succ, Ordinal.succ_zero]
import Mathlib.Order.Filter.Lift import Mathlib.Topology.Defs.Filter #align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40" noncomputable section open Set Filter universe u v w x def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T) (sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T) (union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where IsOpen X := Xᶜ ∈ T isOpen_univ := by simp [empty_mem] isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht isOpen_sUnion s hs := by simp only [Set.compl_sUnion] exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy #align topological_space.of_closed TopologicalSpace.ofClosed section TopologicalSpace variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*} {x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop} open Topology lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl #align is_open_mk isOpen_mk @[ext] protected theorem TopologicalSpace.ext : ∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g | ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl #align topological_space_eq TopologicalSpace.ext section variable [TopologicalSpace X] end protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} : t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s := ⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩ #align topological_space_eq_iff TopologicalSpace.ext_iff theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s := rfl #align is_open_fold isOpen_fold variable [TopologicalSpace X] theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) := isOpen_sUnion (forall_mem_range.2 h) #align is_open_Union isOpen_iUnion theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋃ i ∈ s, f i) := isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi #align is_open_bUnion isOpen_biUnion theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩) #align is_open.union IsOpen.union lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) : IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩ rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter] exact isOpen_iUnion fun i ↦ h i @[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim #align is_open_empty isOpen_empty theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) : (∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) := Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by simp only [sInter_insert, forall_mem_insert] at h ⊢ exact h.1.inter (ih h.2) #align is_open_sInter Set.Finite.isOpen_sInter theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h) #align is_open_bInter Set.Finite.isOpen_biInter theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) : IsOpen (⋂ i, s i) := (finite_range _).isOpen_sInter (forall_mem_range.2 h) #align is_open_Inter isOpen_iInter_of_finite theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) : IsOpen (⋂ i ∈ s, f i) := s.finite_toSet.isOpen_biInter h #align is_open_bInter_finset isOpen_biInter_finset @[simp] -- Porting note: added `simp` theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*] #align is_open_const isOpen_const theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } := IsOpen.inter #align is_open.and IsOpen.and @[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s := ⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩ #align is_open_compl_iff isOpen_compl_iff theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} : t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by rw [TopologicalSpace.ext_iff, compl_surjective.forall] simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂] alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed -- Porting note (#10756): new lemma theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩ @[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const #align is_closed_empty isClosed_empty @[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const #align is_closed_univ isClosed_univ theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter #align is_closed.union IsClosed.union theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion #align is_closed_sInter isClosed_sInter theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) := isClosed_sInter <| forall_mem_range.2 h #align is_closed_Inter isClosed_iInter theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋂ i ∈ s, f i) := isClosed_iInter fun i => isClosed_iInter <| h i #align is_closed_bInter isClosed_biInter @[simp] theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by rw [← isOpen_compl_iff, compl_compl] #align is_closed_compl_iff isClosed_compl_iff alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff #align is_open.is_closed_compl IsOpen.isClosed_compl theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) := IsOpen.inter h₁ h₂.isOpen_compl #align is_open.sdiff IsOpen.sdiff theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by rw [← isOpen_compl_iff] at * rw [compl_inter] exact IsOpen.union h₁ h₂ #align is_closed.inter IsClosed.inter theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) := IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂) #align is_closed.sdiff IsClosed.sdiff theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite) (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact hs.isOpen_biInter h #align is_closed_bUnion Set.Finite.isClosed_biUnion lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) : IsClosed (⋃ i ∈ s, f i) := s.finite_toSet.isClosed_biUnion h theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) : IsClosed (⋃ i, s i) := by simp only [← isOpen_compl_iff, compl_iUnion] at * exact isOpen_iInter_of_finite h #align is_closed_Union isClosed_iUnion_of_finite theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) : IsClosed { x | p x → q x } := by simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq #align is_closed_imp isClosed_imp theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } := isOpen_compl_iff.mpr #align is_closed.not IsClosed.not theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm] #align mem_interior mem_interiorₓ @[simp] theorem isOpen_interior : IsOpen (interior s) := isOpen_sUnion fun _ => And.left #align is_open_interior isOpen_interior theorem interior_subset : interior s ⊆ s := sUnion_subset fun _ => And.right #align interior_subset interior_subset theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s := subset_sUnion_of_mem ⟨h₂, h₁⟩ #align interior_maximal interior_maximal theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s := interior_subset.antisymm (interior_maximal (Subset.refl s) h) #align is_open.interior_eq IsOpen.interior_eq theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s := ⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩ #align interior_eq_iff_is_open interior_eq_iff_isOpen theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and] #align subset_interior_iff_is_open subset_interior_iff_isOpen theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t := ⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩ #align is_open.subset_interior_iff IsOpen.subset_interior_iff theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s := ⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ => htU.trans (interior_maximal hUs hU)⟩ #align subset_interior_iff subset_interior_iff lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by simp [interior] @[mono, gcongr] theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t := interior_maximal (Subset.trans interior_subset h) isOpen_interior #align interior_mono interior_mono @[simp] theorem interior_empty : interior (∅ : Set X) = ∅ := isOpen_empty.interior_eq #align interior_empty interior_empty @[simp] theorem interior_univ : interior (univ : Set X) = univ := isOpen_univ.interior_eq #align interior_univ interior_univ @[simp] theorem interior_eq_univ : interior s = univ ↔ s = univ := ⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩ #align interior_eq_univ interior_eq_univ @[simp] theorem interior_interior : interior (interior s) = interior s := isOpen_interior.interior_eq #align interior_interior interior_interior @[simp] theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t := (Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <| interior_maximal (inter_subset_inter interior_subset interior_subset) <| isOpen_interior.inter isOpen_interior #align interior_inter interior_inter theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := hs.induction_on (by simp) <| by intros; simp [*] theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) : interior (⋂₀ S) = ⋂ s ∈ S, interior s := by rw [sInter_eq_biInter, hS.interior_biInter] @[simp] theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) : interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) := s.finite_toSet.interior_biInter f #align finset.interior_Inter Finset.interior_iInter @[simp] theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) : interior (⋂ i, f i) = ⋂ i, interior (f i) := by rw [← sInter_range, (finite_range f).interior_sInter, biInter_range] #align interior_Inter interior_iInter_of_finite theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s) (h₂ : interior t = ∅) : interior (s ∪ t) = interior s := have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ => by_contradiction fun hx₂ : x ∉ s => have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂ have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff] have : u \ s ⊆ ∅ := by rwa [h₂] at this this ⟨hx₁, hx₂⟩ Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left) #align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by rw [← subset_interior_iff_isOpen] simp only [subset_def, mem_interior] #align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) := subset_iInter fun _ => interior_mono <| iInter_subset _ _ #align interior_Inter_subset interior_iInter_subset theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) : interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) := (interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _ #align interior_Inter₂_subset interior_iInter₂_subset theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s := calc interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter] _ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _ #align interior_sInter_subset interior_sInter_subset theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) := h.lift' fun _ _ ↦ interior_mono theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦ mem_of_superset (mem_lift' hs) interior_subset theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l := le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi @[simp] theorem isClosed_closure : IsClosed (closure s) := isClosed_sInter fun _ => And.left #align is_closed_closure isClosed_closure theorem subset_closure : s ⊆ closure s := subset_sInter fun _ => And.right #align subset_closure subset_closure theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h => hP (subset_closure h) #align not_mem_of_not_mem_closure not_mem_of_not_mem_closure theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t := sInter_subset_of_mem ⟨h₂, h₁⟩ #align closure_minimal closure_minimal theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) : Disjoint (closure s) t := disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl #align disjoint.closure_left Disjoint.closure_left theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) : Disjoint s (closure t) := (hd.symm.closure_left hs).symm #align disjoint.closure_right Disjoint.closure_right theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s := Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure #align is_closed.closure_eq IsClosed.closure_eq theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s := closure_minimal (Subset.refl _) hs #align is_closed.closure_subset IsClosed.closure_subset theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t := ⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩ #align is_closed.closure_subset_iff IsClosed.closure_subset_iff theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) : x ∈ s ↔ closure ({x} : Set X) ⊆ s := (hs.closure_subset_iff.trans Set.singleton_subset_iff).symm #align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset @[mono, gcongr] theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t := closure_minimal (Subset.trans h subset_closure) isClosed_closure #align closure_mono closure_mono theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ => closure_mono #align monotone_closure monotone_closure theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure] #align diff_subset_closure_iff diff_subset_closure_iff theorem closure_inter_subset_inter_closure (s t : Set X) : closure (s ∩ t) ⊆ closure s ∩ closure t := (monotone_closure X).map_inf_le s t #align closure_inter_subset_inter_closure closure_inter_subset_inter_closure theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by rw [subset_closure.antisymm h]; exact isClosed_closure #align is_closed_of_closure_subset isClosed_of_closure_subset theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s := ⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩ #align closure_eq_iff_is_closed closure_eq_iff_isClosed theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s := ⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩ #align closure_subset_iff_is_closed closure_subset_iff_isClosed @[simp] theorem closure_empty : closure (∅ : Set X) = ∅ := isClosed_empty.closure_eq #align closure_empty closure_empty @[simp] theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ := ⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩ #align closure_empty_iff closure_empty_iff @[simp] theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff] #align closure_nonempty_iff closure_nonempty_iff alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff #align set.nonempty.of_closure Set.Nonempty.of_closure #align set.nonempty.closure Set.Nonempty.closure @[simp] theorem closure_univ : closure (univ : Set X) = univ := isClosed_univ.closure_eq #align closure_univ closure_univ @[simp] theorem closure_closure : closure (closure s) = closure s := isClosed_closure.closure_eq #align closure_closure closure_closure theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by rw [interior, closure, compl_sUnion, compl_image_set_of] simp only [compl_subset_compl, isOpen_compl_iff] #align closure_eq_compl_interior_compl closure_eq_compl_interior_compl @[simp] theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by simp [closure_eq_compl_interior_compl, compl_inter] #align closure_union closure_union theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by simp [closure_eq_compl_interior_compl, hs.interior_biInter] theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) : closure (⋃₀ S) = ⋃ s ∈ S, closure s := by rw [sUnion_eq_biUnion, hS.closure_biUnion] @[simp] theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) : closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := s.finite_toSet.closure_biUnion f #align finset.closure_bUnion Finset.closure_biUnion @[simp] theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) : closure (⋃ i, f i) = ⋃ i, closure (f i) := by rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range] #align closure_Union closure_iUnion_of_finite theorem interior_subset_closure : interior s ⊆ closure s := Subset.trans interior_subset subset_closure #align interior_subset_closure interior_subset_closure @[simp] theorem interior_compl : interior sᶜ = (closure s)ᶜ := by simp [closure_eq_compl_interior_compl] #align interior_compl interior_compl @[simp] theorem closure_compl : closure sᶜ = (interior s)ᶜ := by simp [closure_eq_compl_interior_compl] #align closure_compl closure_compl theorem mem_closure_iff : x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty := ⟨fun h o oo ao => by_contradiction fun os => have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩ closure_minimal this (isClosed_compl_iff.2 oo) h ao, fun H _ ⟨h₁, h₂⟩ => by_contradiction fun nc => let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc hc (h₂ hs)⟩ #align mem_closure_iff mem_closure_iff theorem closure_inter_open_nonempty_iff (h : IsOpen t) : (closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty := ⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h => h.mono <| inf_le_inf_right t subset_closure⟩ #align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure := le_lift'.2 fun _ h => mem_of_superset h subset_closure #align filter.le_lift'_closure Filter.le_lift'_closure theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) := h.lift' (monotone_closure X) #align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X} (h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l := le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi)) l.le_lift'_closure #align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self @[simp] theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ := ⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h => h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩ #align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot theorem dense_iff_closure_eq : Dense s ↔ closure s = univ := eq_univ_iff_forall.symm #align dense_iff_closure_eq dense_iff_closure_eq alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq #align dense.closure_eq Dense.closure_eq theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by rw [dense_iff_closure_eq, closure_compl, compl_univ_iff] #align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ := interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl] #align dense.interior_compl Dense.interior_compl @[simp] theorem dense_closure : Dense (closure s) ↔ Dense s := by rw [Dense, Dense, closure_closure] #align dense_closure dense_closure protected alias ⟨_, Dense.closure⟩ := dense_closure alias ⟨Dense.of_closure, _⟩ := dense_closure #align dense.of_closure Dense.of_closure #align dense.closure Dense.closure @[simp] theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial #align dense_univ dense_univ theorem dense_iff_inter_open : Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by constructor <;> intro h · rintro U U_op ⟨x, x_in⟩ exact mem_closure_iff.1 (h _) U U_op x_in · intro x rw [mem_closure_iff] intro U U_op x_in exact h U U_op ⟨_, x_in⟩ #align dense_iff_inter_open dense_iff_inter_open alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open #align dense.inter_open_nonempty Dense.inter_open_nonempty theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U) (hne : U.Nonempty) : ∃ x ∈ s, x ∈ U := let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne ⟨x, hx.2, hx.1⟩ #align dense.exists_mem_open Dense.exists_mem_open theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X := ⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ => let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩ ⟨y, hy.2⟩⟩ #align dense.nonempty_iff Dense.nonempty_iff theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty := hs.nonempty_iff.2 h #align dense.nonempty Dense.nonempty @[mono] theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x => closure_mono h (hd x) #align dense.mono Dense.mono theorem dense_compl_singleton_iff_not_open : Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by constructor · intro hd ho exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _) · refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_ obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩ exact ho hU #align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open @[simp] theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s := rfl #align closure_diff_interior closure_diff_interior lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq, ← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter] @[simp] theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure] #align closure_diff_frontier closure_diff_frontier @[simp] theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure, inter_eq_self_of_subset_right interior_subset, empty_union] #align self_diff_frontier self_diff_frontier theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by rw [closure_compl, frontier, diff_eq] #align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure theorem frontier_subset_closure : frontier s ⊆ closure s := diff_subset #align frontier_subset_closure frontier_subset_closure theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s := frontier_subset_closure.trans hs.closure_eq.subset #align is_closed.frontier_subset IsClosed.frontier_subset theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s := diff_subset_diff closure_closure.subset <| interior_mono subset_closure #align frontier_closure_subset frontier_closure_subset theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s := diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset #align frontier_interior_subset frontier_interior_subset @[simp] theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm] #align frontier_compl frontier_compl @[simp]
Mathlib/Topology/Basic.lean
704
704
theorem frontier_univ : frontier (univ : Set X) = ∅ := by
simp [frontier]
import Mathlib.Data.Nat.Choose.Dvd import Mathlib.RingTheory.IntegrallyClosed import Mathlib.RingTheory.Norm import Mathlib.RingTheory.Polynomial.Cyclotomic.Expand #align_import ring_theory.polynomial.eisenstein.is_integral from "leanprover-community/mathlib"@"5bfbcca0a7ffdd21cf1682e59106d6c942434a32" universe u v w z variable {R : Type u} open Ideal Algebra Finset open scoped Polynomial section IsIntegral variable {K : Type v} {L : Type z} {p : R} [CommRing R] [Field K] [Field L] variable [Algebra K L] [Algebra R L] [Algebra R K] [IsScalarTower R K L] [IsSeparable K L] variable [IsDomain R] [IsFractionRing R K] [IsIntegrallyClosed R] local notation "𝓟" => Submodule.span R {(p : R)} open IsIntegrallyClosed PowerBasis Nat Polynomial IsScalarTower
Mathlib/RingTheory/Polynomial/Eisenstein/IsIntegral.lean
137
212
theorem dvd_coeff_zero_of_aeval_eq_prime_smul_of_minpoly_isEisensteinAt {B : PowerBasis K L} (hp : Prime p) (hBint : IsIntegral R B.gen) {z : L} {Q : R[X]} (hQ : aeval B.gen Q = p • z) (hzint : IsIntegral R z) (hei : (minpoly R B.gen).IsEisensteinAt 𝓟) : p ∣ Q.coeff 0 := by
-- First define some abbreviations. letI := B.finite let P := minpoly R B.gen obtain ⟨n, hn⟩ := Nat.exists_eq_succ_of_ne_zero B.dim_pos.ne' have finrank_K_L : FiniteDimensional.finrank K L = B.dim := B.finrank have deg_K_P : (minpoly K B.gen).natDegree = B.dim := B.natDegree_minpoly have deg_R_P : P.natDegree = B.dim := by rw [← deg_K_P, minpoly.isIntegrallyClosed_eq_field_fractions' K hBint, (minpoly.monic hBint).natDegree_map (algebraMap R K)] choose! f hf using hei.isWeaklyEisensteinAt.exists_mem_adjoin_mul_eq_pow_natDegree_le (minpoly.aeval R B.gen) (minpoly.monic hBint) simp only [(minpoly.monic hBint).natDegree_map, deg_R_P] at hf -- The Eisenstein condition shows that `p` divides `Q.coeff 0` -- if `p^n.succ` divides the following multiple of `Q.coeff 0^n.succ`: suffices p ^ n.succ ∣ Q.coeff 0 ^ n.succ * ((-1) ^ (n.succ * n) * (minpoly R B.gen).coeff 0 ^ n) by have hndiv : ¬p ^ 2 ∣ (minpoly R B.gen).coeff 0 := fun h => hei.not_mem ((span_singleton_pow p 2).symm ▸ Ideal.mem_span_singleton.2 h) refine @Prime.dvd_of_pow_dvd_pow_mul_pow_of_square_not_dvd R _ _ _ _ n hp (?_ : _ ∣ _) hndiv convert (IsUnit.dvd_mul_right ⟨(-1) ^ (n.succ * n), rfl⟩).mpr this using 1 push_cast ring_nf rw [mul_comm _ 2, pow_mul, neg_one_sq, one_pow, mul_one] -- We claim the quotient of `Q^n * _` by `p^n` is the following `r`: have aux : ∀ i ∈ (range (Q.natDegree + 1)).erase 0, B.dim ≤ i + n := by intro i hi simp only [mem_range, mem_erase] at hi rw [hn] exact le_add_pred_of_pos _ hi.1 have hintsum : IsIntegral R (z * B.gen ^ n - ∑ x ∈ (range (Q.natDegree + 1)).erase 0, Q.coeff x • f (x + n)) := by refine (hzint.mul (hBint.pow _)).sub (.sum _ fun i hi => .smul _ ?_) exact adjoin_le_integralClosure hBint (hf _ (aux i hi)).1 obtain ⟨r, hr⟩ := isIntegral_iff.1 (isIntegral_norm K hintsum) use r -- Do the computation in `K` so we can work in terms of `z` instead of `r`. apply IsFractionRing.injective R K simp only [_root_.map_mul, _root_.map_pow, _root_.map_neg, _root_.map_one] -- Both sides are actually norms: calc _ = norm K (Q.coeff 0 • B.gen ^ n) := ?_ _ = norm K (p • (z * B.gen ^ n) - ∑ x ∈ (range (Q.natDegree + 1)).erase 0, p • Q.coeff x • f (x + n)) := (congr_arg (norm K) (eq_sub_of_add_eq ?_)) _ = _ := ?_ · simp only [Algebra.smul_def, algebraMap_apply R K L, Algebra.norm_algebraMap, _root_.map_mul, _root_.map_pow, finrank_K_L, PowerBasis.norm_gen_eq_coeff_zero_minpoly, minpoly.isIntegrallyClosed_eq_field_fractions' K hBint, coeff_map, ← hn] ring swap · simp_rw [← smul_sum, ← smul_sub, Algebra.smul_def p, algebraMap_apply R K L, _root_.map_mul, Algebra.norm_algebraMap, finrank_K_L, hr, ← hn] calc _ = (Q.coeff 0 • ↑1 + ∑ x ∈ (range (Q.natDegree + 1)).erase 0, Q.coeff x • B.gen ^ x) * B.gen ^ n := ?_ _ = (Q.coeff 0 • B.gen ^ 0 + ∑ x ∈ (range (Q.natDegree + 1)).erase 0, Q.coeff x • B.gen ^ x) * B.gen ^ n := by rw [_root_.pow_zero] _ = aeval B.gen Q * B.gen ^ n := ?_ _ = _ := by rw [hQ, Algebra.smul_mul_assoc] · have : ∀ i ∈ (range (Q.natDegree + 1)).erase 0, Q.coeff i • (B.gen ^ i * B.gen ^ n) = p • Q.coeff i • f (i + n) := by intro i hi rw [← pow_add, ← (hf _ (aux i hi)).2, ← Algebra.smul_def, smul_smul, mul_comm _ p, smul_smul] simp only [add_mul, smul_mul_assoc, one_mul, sum_mul, sum_congr rfl this] · rw [aeval_eq_sum_range, Finset.add_sum_erase (range (Q.natDegree + 1)) fun i => Q.coeff i • B.gen ^ i] simp
import Mathlib.Algebra.MonoidAlgebra.Basic import Mathlib.Data.Finset.Pointwise #align_import algebra.monoid_algebra.support from "leanprover-community/mathlib"@"16749fc4661828cba18cd0f4e3c5eb66a8e80598" open scoped Pointwise universe u₁ u₂ u₃ namespace MonoidAlgebra open Finset Finsupp variable {k : Type u₁} {G : Type u₂} [Semiring k]
Mathlib/Algebra/MonoidAlgebra/Support.lean
25
30
theorem support_mul [Mul G] [DecidableEq G] (a b : MonoidAlgebra k G) : (a * b).support ⊆ a.support * b.support := by
rw [MonoidAlgebra.mul_def] exact support_sum.trans <| biUnion_subset.2 fun _x hx ↦ support_sum.trans <| biUnion_subset.2 fun _y hy ↦ support_single_subset.trans <| singleton_subset_iff.2 <| mem_image₂_of_mem hx hy
import Mathlib.Algebra.MvPolynomial.Monad #align_import data.mv_polynomial.expand from "leanprover-community/mathlib"@"5da451b4c96b4c2e122c0325a7fce17d62ee46c6" namespace MvPolynomial variable {σ τ R S : Type*} [CommSemiring R] [CommSemiring S] noncomputable def expand (p : ℕ) : MvPolynomial σ R →ₐ[R] MvPolynomial σ R := { (eval₂Hom C fun i ↦ X i ^ p : MvPolynomial σ R →+* MvPolynomial σ R) with commutes' := fun _ ↦ eval₂Hom_C _ _ _ } #align mv_polynomial.expand MvPolynomial.expand -- @[simp] -- Porting note (#10618): simp can prove this theorem expand_C (p : ℕ) (r : R) : expand p (C r : MvPolynomial σ R) = C r := eval₂Hom_C _ _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.expand_C MvPolynomial.expand_C @[simp] theorem expand_X (p : ℕ) (i : σ) : expand p (X i : MvPolynomial σ R) = X i ^ p := eval₂Hom_X' _ _ _ set_option linter.uppercaseLean3 false in #align mv_polynomial.expand_X MvPolynomial.expand_X @[simp] theorem expand_monomial (p : ℕ) (d : σ →₀ ℕ) (r : R) : expand p (monomial d r) = C r * ∏ i ∈ d.support, (X i ^ p) ^ d i := bind₁_monomial _ _ _ #align mv_polynomial.expand_monomial MvPolynomial.expand_monomial theorem expand_one_apply (f : MvPolynomial σ R) : expand 1 f = f := by simp only [expand, pow_one, eval₂Hom_eq_bind₂, bind₂_C_left, RingHom.toMonoidHom_eq_coe, RingHom.coe_monoidHom_id, AlgHom.coe_mk, RingHom.coe_mk, MonoidHom.id_apply, RingHom.id_apply] #align mv_polynomial.expand_one_apply MvPolynomial.expand_one_apply @[simp]
Mathlib/Algebra/MvPolynomial/Expand.lean
59
61
theorem expand_one : expand 1 = AlgHom.id R (MvPolynomial σ R) := by
ext1 f rw [expand_one_apply, AlgHom.id_apply]
import Mathlib.Algebra.Group.Support import Mathlib.Order.WellFoundedSet #align_import ring_theory.hahn_series from "leanprover-community/mathlib"@"a484a7d0eade4e1268f4fb402859b6686037f965" set_option linter.uppercaseLean3 false open Finset Function open scoped Classical noncomputable section @[ext] structure HahnSeries (Γ : Type*) (R : Type*) [PartialOrder Γ] [Zero R] where coeff : Γ → R isPWO_support' : (Function.support coeff).IsPWO #align hahn_series HahnSeries variable {Γ : Type*} {R : Type*} namespace HahnSeries section Zero variable [PartialOrder Γ] [Zero R] theorem coeff_injective : Injective (coeff : HahnSeries Γ R → Γ → R) := HahnSeries.ext #align hahn_series.coeff_injective HahnSeries.coeff_injective @[simp] theorem coeff_inj {x y : HahnSeries Γ R} : x.coeff = y.coeff ↔ x = y := coeff_injective.eq_iff #align hahn_series.coeff_inj HahnSeries.coeff_inj nonrec def support (x : HahnSeries Γ R) : Set Γ := support x.coeff #align hahn_series.support HahnSeries.support @[simp] theorem isPWO_support (x : HahnSeries Γ R) : x.support.IsPWO := x.isPWO_support' #align hahn_series.is_pwo_support HahnSeries.isPWO_support @[simp] theorem isWF_support (x : HahnSeries Γ R) : x.support.IsWF := x.isPWO_support.isWF #align hahn_series.is_wf_support HahnSeries.isWF_support @[simp] theorem mem_support (x : HahnSeries Γ R) (a : Γ) : a ∈ x.support ↔ x.coeff a ≠ 0 := Iff.refl _ #align hahn_series.mem_support HahnSeries.mem_support instance : Zero (HahnSeries Γ R) := ⟨{ coeff := 0 isPWO_support' := by simp }⟩ instance : Inhabited (HahnSeries Γ R) := ⟨0⟩ instance [Subsingleton R] : Subsingleton (HahnSeries Γ R) := ⟨fun a b => a.ext b (Subsingleton.elim _ _)⟩ @[simp] theorem zero_coeff {a : Γ} : (0 : HahnSeries Γ R).coeff a = 0 := rfl #align hahn_series.zero_coeff HahnSeries.zero_coeff @[simp] theorem coeff_fun_eq_zero_iff {x : HahnSeries Γ R} : x.coeff = 0 ↔ x = 0 := coeff_injective.eq_iff' rfl #align hahn_series.coeff_fun_eq_zero_iff HahnSeries.coeff_fun_eq_zero_iff theorem ne_zero_of_coeff_ne_zero {x : HahnSeries Γ R} {g : Γ} (h : x.coeff g ≠ 0) : x ≠ 0 := mt (fun x0 => (x0.symm ▸ zero_coeff : x.coeff g = 0)) h #align hahn_series.ne_zero_of_coeff_ne_zero HahnSeries.ne_zero_of_coeff_ne_zero @[simp] theorem support_zero : support (0 : HahnSeries Γ R) = ∅ := Function.support_zero #align hahn_series.support_zero HahnSeries.support_zero @[simp] nonrec theorem support_nonempty_iff {x : HahnSeries Γ R} : x.support.Nonempty ↔ x ≠ 0 := by rw [support, support_nonempty_iff, Ne, coeff_fun_eq_zero_iff] #align hahn_series.support_nonempty_iff HahnSeries.support_nonempty_iff @[simp] theorem support_eq_empty_iff {x : HahnSeries Γ R} : x.support = ∅ ↔ x = 0 := support_eq_empty_iff.trans coeff_fun_eq_zero_iff #align hahn_series.support_eq_empty_iff HahnSeries.support_eq_empty_iff def ofIterate {Γ' : Type*} [PartialOrder Γ'] (x : HahnSeries Γ (HahnSeries Γ' R)) : HahnSeries (Γ ×ₗ Γ') R where coeff := fun g => coeff (coeff x g.1) g.2 isPWO_support' := by refine Set.PartiallyWellOrderedOn.subsetProdLex ?_ ?_ · refine Set.IsPWO.mono x.isPWO_support' ?_ simp_rw [Set.image_subset_iff, support_subset_iff, Set.mem_preimage, Function.mem_support] exact fun _ ↦ ne_zero_of_coeff_ne_zero · exact fun a => by simpa [Function.mem_support, ne_eq] using (x.coeff a).isPWO_support' @[simp] lemma mk_eq_zero (f : Γ → R) (h) : HahnSeries.mk f h = 0 ↔ f = 0 := by rw [HahnSeries.ext_iff] rfl def toIterate {Γ' : Type*} [PartialOrder Γ'] (x : HahnSeries (Γ ×ₗ Γ') R) : HahnSeries Γ (HahnSeries Γ' R) where coeff := fun g => { coeff := fun g' => coeff x (g, g') isPWO_support' := Set.PartiallyWellOrderedOn.fiberProdLex x.isPWO_support' g } isPWO_support' := by have h₁ : (Function.support fun g => HahnSeries.mk (fun g' => x.coeff (g, g')) (Set.PartiallyWellOrderedOn.fiberProdLex x.isPWO_support' g)) = Function.support fun g => fun g' => x.coeff (g, g') := by simp only [Function.support, ne_eq, mk_eq_zero] rw [h₁, Function.support_curry' x.coeff] exact Set.PartiallyWellOrderedOn.imageProdLex x.isPWO_support' @[simps] def iterateEquiv {Γ' : Type*} [PartialOrder Γ'] : HahnSeries Γ (HahnSeries Γ' R) ≃ HahnSeries (Γ ×ₗ Γ') R where toFun := ofIterate invFun := toIterate left_inv := congrFun rfl right_inv := congrFun rfl def single (a : Γ) : ZeroHom R (HahnSeries Γ R) where toFun r := { coeff := Pi.single a r isPWO_support' := (Set.isPWO_singleton a).mono Pi.support_single_subset } map_zero' := HahnSeries.ext _ _ (Pi.single_zero _) #align hahn_series.single HahnSeries.single variable {a b : Γ} {r : R} @[simp] theorem single_coeff_same (a : Γ) (r : R) : (single a r).coeff a = r := Pi.single_eq_same (f := fun _ => R) a r #align hahn_series.single_coeff_same HahnSeries.single_coeff_same @[simp] theorem single_coeff_of_ne (h : b ≠ a) : (single a r).coeff b = 0 := Pi.single_eq_of_ne (f := fun _ => R) h r #align hahn_series.single_coeff_of_ne HahnSeries.single_coeff_of_ne theorem single_coeff : (single a r).coeff b = if b = a then r else 0 := by split_ifs with h <;> simp [h] #align hahn_series.single_coeff HahnSeries.single_coeff @[simp] theorem support_single_of_ne (h : r ≠ 0) : support (single a r) = {a} := Pi.support_single_of_ne h #align hahn_series.support_single_of_ne HahnSeries.support_single_of_ne theorem support_single_subset : support (single a r) ⊆ {a} := Pi.support_single_subset #align hahn_series.support_single_subset HahnSeries.support_single_subset theorem eq_of_mem_support_single {b : Γ} (h : b ∈ support (single a r)) : b = a := support_single_subset h #align hahn_series.eq_of_mem_support_single HahnSeries.eq_of_mem_support_single --@[simp] Porting note (#10618): simp can prove it theorem single_eq_zero : single a (0 : R) = 0 := (single a).map_zero #align hahn_series.single_eq_zero HahnSeries.single_eq_zero theorem single_injective (a : Γ) : Function.Injective (single a : R → HahnSeries Γ R) := fun r s rs => by rw [← single_coeff_same a r, ← single_coeff_same a s, rs] #align hahn_series.single_injective HahnSeries.single_injective theorem single_ne_zero (h : r ≠ 0) : single a r ≠ 0 := fun con => h (single_injective a (con.trans single_eq_zero.symm)) #align hahn_series.single_ne_zero HahnSeries.single_ne_zero @[simp] theorem single_eq_zero_iff {a : Γ} {r : R} : single a r = 0 ↔ r = 0 := map_eq_zero_iff _ <| single_injective a #align hahn_series.single_eq_zero_iff HahnSeries.single_eq_zero_iff instance [Nonempty Γ] [Nontrivial R] : Nontrivial (HahnSeries Γ R) := ⟨by obtain ⟨r, s, rs⟩ := exists_pair_ne R inhabit Γ refine ⟨single default r, single default s, fun con => rs ?_⟩ rw [← single_coeff_same (default : Γ) r, con, single_coeff_same]⟩ section Domain variable {Γ' : Type*} [PartialOrder Γ'] def embDomain (f : Γ ↪o Γ') : HahnSeries Γ R → HahnSeries Γ' R := fun x => { coeff := fun b : Γ' => if h : b ∈ f '' x.support then x.coeff (Classical.choose h) else 0 isPWO_support' := (x.isPWO_support.image_of_monotone f.monotone).mono fun b hb => by contrapose! hb rw [Function.mem_support, dif_neg hb, Classical.not_not] } #align hahn_series.emb_domain HahnSeries.embDomain @[simp] theorem embDomain_coeff {f : Γ ↪o Γ'} {x : HahnSeries Γ R} {a : Γ} : (embDomain f x).coeff (f a) = x.coeff a := by rw [embDomain] dsimp only by_cases ha : a ∈ x.support · rw [dif_pos (Set.mem_image_of_mem f ha)] exact congr rfl (f.injective (Classical.choose_spec (Set.mem_image_of_mem f ha)).2) · rw [dif_neg, Classical.not_not.1 fun c => ha ((mem_support _ _).2 c)] contrapose! ha obtain ⟨b, hb1, hb2⟩ := (Set.mem_image _ _ _).1 ha rwa [f.injective hb2] at hb1 #align hahn_series.emb_domain_coeff HahnSeries.embDomain_coeff @[simp] theorem embDomain_mk_coeff {f : Γ → Γ'} (hfi : Function.Injective f) (hf : ∀ g g' : Γ, f g ≤ f g' ↔ g ≤ g') {x : HahnSeries Γ R} {a : Γ} : (embDomain ⟨⟨f, hfi⟩, hf _ _⟩ x).coeff (f a) = x.coeff a := embDomain_coeff #align hahn_series.emb_domain_mk_coeff HahnSeries.embDomain_mk_coeff theorem embDomain_notin_image_support {f : Γ ↪o Γ'} {x : HahnSeries Γ R} {b : Γ'} (hb : b ∉ f '' x.support) : (embDomain f x).coeff b = 0 := dif_neg hb #align hahn_series.emb_domain_notin_image_support HahnSeries.embDomain_notin_image_support
Mathlib/RingTheory/HahnSeries/Basic.lean
382
386
theorem support_embDomain_subset {f : Γ ↪o Γ'} {x : HahnSeries Γ R} : support (embDomain f x) ⊆ f '' x.support := by
intro g hg contrapose! hg rw [mem_support, embDomain_notin_image_support hg, Classical.not_not]
import Mathlib.Logic.Relation import Mathlib.Data.List.Forall2 import Mathlib.Data.List.Lex import Mathlib.Data.List.Infix #align_import data.list.chain from "leanprover-community/mathlib"@"dd71334db81d0bd444af1ee339a29298bef40734" -- Make sure we haven't imported `Data.Nat.Order.Basic` assert_not_exists OrderedSub universe u v open Nat namespace List variable {α : Type u} {β : Type v} {R r : α → α → Prop} {l l₁ l₂ : List α} {a b : α} mk_iff_of_inductive_prop List.Chain List.chain_iff #align list.chain_iff List.chain_iff #align list.chain.nil List.Chain.nil #align list.chain.cons List.Chain.cons #align list.rel_of_chain_cons List.rel_of_chain_cons #align list.chain_of_chain_cons List.chain_of_chain_cons #align list.chain.imp' List.Chain.imp' #align list.chain.imp List.Chain.imp theorem Chain.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {a : α} {l : List α} : Chain R a l ↔ Chain S a l := ⟨Chain.imp fun a b => (H a b).1, Chain.imp fun a b => (H a b).2⟩ #align list.chain.iff List.Chain.iff theorem Chain.iff_mem {a : α} {l : List α} : Chain R a l ↔ Chain (fun x y => x ∈ a :: l ∧ y ∈ l ∧ R x y) a l := ⟨fun p => by induction' p with _ a b l r _ IH <;> constructor <;> [exact ⟨mem_cons_self _ _, mem_cons_self _ _, r⟩; exact IH.imp fun a b ⟨am, bm, h⟩ => ⟨mem_cons_of_mem _ am, mem_cons_of_mem _ bm, h⟩], Chain.imp fun a b h => h.2.2⟩ #align list.chain.iff_mem List.Chain.iff_mem theorem chain_singleton {a b : α} : Chain R a [b] ↔ R a b := by simp only [chain_cons, Chain.nil, and_true_iff] #align list.chain_singleton List.chain_singleton theorem chain_split {a b : α} {l₁ l₂ : List α} : Chain R a (l₁ ++ b :: l₂) ↔ Chain R a (l₁ ++ [b]) ∧ Chain R b l₂ := by induction' l₁ with x l₁ IH generalizing a <;> simp only [*, nil_append, cons_append, Chain.nil, chain_cons, and_true_iff, and_assoc] #align list.chain_split List.chain_split @[simp] theorem chain_append_cons_cons {a b c : α} {l₁ l₂ : List α} : Chain R a (l₁ ++ b :: c :: l₂) ↔ Chain R a (l₁ ++ [b]) ∧ R b c ∧ Chain R c l₂ := by rw [chain_split, chain_cons] #align list.chain_append_cons_cons List.chain_append_cons_cons theorem chain_iff_forall₂ : ∀ {a : α} {l : List α}, Chain R a l ↔ l = [] ∨ Forall₂ R (a :: dropLast l) l | a, [] => by simp | a, b :: l => by by_cases h : l = [] <;> simp [@chain_iff_forall₂ b l, dropLast, *] #align list.chain_iff_forall₂ List.chain_iff_forall₂ theorem chain_append_singleton_iff_forall₂ : Chain R a (l ++ [b]) ↔ Forall₂ R (a :: l) (l ++ [b]) := by simp [chain_iff_forall₂] #align list.chain_append_singleton_iff_forall₂ List.chain_append_singleton_iff_forall₂ theorem chain_map (f : β → α) {b : β} {l : List β} : Chain R (f b) (map f l) ↔ Chain (fun a b : β => R (f a) (f b)) b l := by induction l generalizing b <;> simp only [map, Chain.nil, chain_cons, *] #align list.chain_map List.chain_map theorem chain_of_chain_map {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, S (f a) (f b) → R a b) {a : α} {l : List α} (p : Chain S (f a) (map f l)) : Chain R a l := ((chain_map f).1 p).imp H #align list.chain_of_chain_map List.chain_of_chain_map theorem chain_map_of_chain {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, R a b → S (f a) (f b)) {a : α} {l : List α} (p : Chain R a l) : Chain S (f a) (map f l) := (chain_map f).2 <| p.imp H #align list.chain_map_of_chain List.chain_map_of_chain theorem chain_pmap_of_chain {S : β → β → Prop} {p : α → Prop} {f : ∀ a, p a → β} (H : ∀ a b ha hb, R a b → S (f a ha) (f b hb)) {a : α} {l : List α} (hl₁ : Chain R a l) (ha : p a) (hl₂ : ∀ a ∈ l, p a) : Chain S (f a ha) (List.pmap f l hl₂) := by induction' l with lh lt l_ih generalizing a · simp · simp [H _ _ _ _ (rel_of_chain_cons hl₁), l_ih (chain_of_chain_cons hl₁)] #align list.chain_pmap_of_chain List.chain_pmap_of_chain theorem chain_of_chain_pmap {S : β → β → Prop} {p : α → Prop} (f : ∀ a, p a → β) {l : List α} (hl₁ : ∀ a ∈ l, p a) {a : α} (ha : p a) (hl₂ : Chain S (f a ha) (List.pmap f l hl₁)) (H : ∀ a b ha hb, S (f a ha) (f b hb) → R a b) : Chain R a l := by induction' l with lh lt l_ih generalizing a · simp · simp [H _ _ _ _ (rel_of_chain_cons hl₂), l_ih _ _ (chain_of_chain_cons hl₂)] #align list.chain_of_chain_pmap List.chain_of_chain_pmap #align list.pairwise.chain List.Pairwise.chain protected theorem Chain.pairwise [IsTrans α R] : ∀ {a : α} {l : List α}, Chain R a l → Pairwise R (a :: l) | a, [], Chain.nil => pairwise_singleton _ _ | a, _, @Chain.cons _ _ _ b l h hb => hb.pairwise.cons (by simp only [mem_cons, forall_eq_or_imp, h, true_and_iff] exact fun c hc => _root_.trans h (rel_of_pairwise_cons hb.pairwise hc)) #align list.chain.pairwise List.Chain.pairwise theorem chain_iff_pairwise [IsTrans α R] {a : α} {l : List α} : Chain R a l ↔ Pairwise R (a :: l) := ⟨Chain.pairwise, Pairwise.chain⟩ #align list.chain_iff_pairwise List.chain_iff_pairwise protected theorem Chain.sublist [IsTrans α R] (hl : l₂.Chain R a) (h : l₁ <+ l₂) : l₁.Chain R a := by rw [chain_iff_pairwise] at hl ⊢ exact hl.sublist (h.cons_cons a) #align list.chain.sublist List.Chain.sublist protected theorem Chain.rel [IsTrans α R] (hl : l.Chain R a) (hb : b ∈ l) : R a b := by rw [chain_iff_pairwise] at hl exact rel_of_pairwise_cons hl hb #align list.chain.rel List.Chain.rel theorem chain_iff_get {R} : ∀ {a : α} {l : List α}, Chain R a l ↔ (∀ h : 0 < length l, R a (get l ⟨0, h⟩)) ∧ ∀ (i : ℕ) (h : i < l.length - 1), R (get l ⟨i, by omega⟩) (get l ⟨i+1, by omega⟩) | a, [] => iff_of_true (by simp) ⟨fun h => by simp at h, fun _ h => by simp at h⟩ | a, b :: t => by rw [chain_cons, @chain_iff_get _ _ t] constructor · rintro ⟨R, ⟨h0, h⟩⟩ constructor · intro _ exact R intro i w cases' i with i · apply h0 · exact h i (by simp only [length_cons] at w; omega) rintro ⟨h0, h⟩; constructor · apply h0 simp constructor · apply h 0 intro i w exact h (i+1) (by simp only [length_cons]; omega) set_option linter.deprecated false in @[deprecated chain_iff_get (since := "2023-01-10")] theorem chain_iff_nthLe {R} {a : α} {l : List α} : Chain R a l ↔ (∀ h : 0 < length l, R a (nthLe l 0 h)) ∧ ∀ (i) (h : i < length l - 1), R (nthLe l i (by omega)) (nthLe l (i + 1) (by omega)) := by rw [chain_iff_get]; simp [nthLe] #align list.chain_iff_nth_le List.chain_iff_nthLe theorem Chain'.imp {S : α → α → Prop} (H : ∀ a b, R a b → S a b) {l : List α} (p : Chain' R l) : Chain' S l := by cases l <;> [trivial; exact Chain.imp H p] #align list.chain'.imp List.Chain'.imp theorem Chain'.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {l : List α} : Chain' R l ↔ Chain' S l := ⟨Chain'.imp fun a b => (H a b).1, Chain'.imp fun a b => (H a b).2⟩ #align list.chain'.iff List.Chain'.iff theorem Chain'.iff_mem : ∀ {l : List α}, Chain' R l ↔ Chain' (fun x y => x ∈ l ∧ y ∈ l ∧ R x y) l | [] => Iff.rfl | _ :: _ => ⟨fun h => (Chain.iff_mem.1 h).imp fun _ _ ⟨h₁, h₂, h₃⟩ => ⟨h₁, mem_cons.2 (Or.inr h₂), h₃⟩, Chain'.imp fun _ _ h => h.2.2⟩ #align list.chain'.iff_mem List.Chain'.iff_mem @[simp] theorem chain'_nil : Chain' R [] := trivial #align list.chain'_nil List.chain'_nil @[simp] theorem chain'_singleton (a : α) : Chain' R [a] := Chain.nil #align list.chain'_singleton List.chain'_singleton @[simp] theorem chain'_cons {x y l} : Chain' R (x :: y :: l) ↔ R x y ∧ Chain' R (y :: l) := chain_cons #align list.chain'_cons List.chain'_cons theorem chain'_isInfix : ∀ l : List α, Chain' (fun x y => [x, y] <:+: l) l | [] => chain'_nil | [a] => chain'_singleton _ | a :: b :: l => chain'_cons.2 ⟨⟨[], l, by simp⟩, (chain'_isInfix (b :: l)).imp fun x y h => h.trans ⟨[a], [], by simp⟩⟩ #align list.chain'_is_infix List.chain'_isInfix theorem chain'_split {a : α} : ∀ {l₁ l₂ : List α}, Chain' R (l₁ ++ a :: l₂) ↔ Chain' R (l₁ ++ [a]) ∧ Chain' R (a :: l₂) | [], _ => (and_iff_right (chain'_singleton a)).symm | _ :: _, _ => chain_split #align list.chain'_split List.chain'_split @[simp] theorem chain'_append_cons_cons {b c : α} {l₁ l₂ : List α} : Chain' R (l₁ ++ b :: c :: l₂) ↔ Chain' R (l₁ ++ [b]) ∧ R b c ∧ Chain' R (c :: l₂) := by rw [chain'_split, chain'_cons] #align list.chain'_append_cons_cons List.chain'_append_cons_cons theorem chain'_map (f : β → α) {l : List β} : Chain' R (map f l) ↔ Chain' (fun a b : β => R (f a) (f b)) l := by cases l <;> [rfl; exact chain_map _] #align list.chain'_map List.chain'_map theorem chain'_of_chain'_map {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, S (f a) (f b) → R a b) {l : List α} (p : Chain' S (map f l)) : Chain' R l := ((chain'_map f).1 p).imp H #align list.chain'_of_chain'_map List.chain'_of_chain'_map theorem chain'_map_of_chain' {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, R a b → S (f a) (f b)) {l : List α} (p : Chain' R l) : Chain' S (map f l) := (chain'_map f).2 <| p.imp H #align list.chain'_map_of_chain' List.chain'_map_of_chain' theorem Pairwise.chain' : ∀ {l : List α}, Pairwise R l → Chain' R l | [], _ => trivial | _ :: _, h => Pairwise.chain h #align list.pairwise.chain' List.Pairwise.chain' theorem chain'_iff_pairwise [IsTrans α R] : ∀ {l : List α}, Chain' R l ↔ Pairwise R l | [] => (iff_true_intro Pairwise.nil).symm | _ :: _ => chain_iff_pairwise #align list.chain'_iff_pairwise List.chain'_iff_pairwise protected theorem Chain'.sublist [IsTrans α R] (hl : l₂.Chain' R) (h : l₁ <+ l₂) : l₁.Chain' R := by rw [chain'_iff_pairwise] at hl ⊢ exact hl.sublist h #align list.chain'.sublist List.Chain'.sublist theorem Chain'.cons {x y l} (h₁ : R x y) (h₂ : Chain' R (y :: l)) : Chain' R (x :: y :: l) := chain'_cons.2 ⟨h₁, h₂⟩ #align list.chain'.cons List.Chain'.cons theorem Chain'.tail : ∀ {l}, Chain' R l → Chain' R l.tail | [], _ => trivial | [_], _ => trivial | _ :: _ :: _, h => (chain'_cons.mp h).right #align list.chain'.tail List.Chain'.tail theorem Chain'.rel_head {x y l} (h : Chain' R (x :: y :: l)) : R x y := rel_of_chain_cons h #align list.chain'.rel_head List.Chain'.rel_head theorem Chain'.rel_head? {x l} (h : Chain' R (x :: l)) ⦃y⦄ (hy : y ∈ head? l) : R x y := by rw [← cons_head?_tail hy] at h exact h.rel_head #align list.chain'.rel_head' List.Chain'.rel_head? theorem Chain'.cons' {x} : ∀ {l : List α}, Chain' R l → (∀ y ∈ l.head?, R x y) → Chain' R (x :: l) | [], _, _ => chain'_singleton x | _ :: _, hl, H => hl.cons <| H _ rfl #align list.chain'.cons' List.Chain'.cons' theorem chain'_cons' {x l} : Chain' R (x :: l) ↔ (∀ y ∈ head? l, R x y) ∧ Chain' R l := ⟨fun h => ⟨h.rel_head?, h.tail⟩, fun ⟨h₁, h₂⟩ => h₂.cons' h₁⟩ #align list.chain'_cons' List.chain'_cons' theorem chain'_append : ∀ {l₁ l₂ : List α}, Chain' R (l₁ ++ l₂) ↔ Chain' R l₁ ∧ Chain' R l₂ ∧ ∀ x ∈ l₁.getLast?, ∀ y ∈ l₂.head?, R x y | [], l => by simp | [a], l => by simp [chain'_cons', and_comm] | a :: b :: l₁, l₂ => by rw [cons_append, cons_append, chain'_cons, chain'_cons, ← cons_append, chain'_append, and_assoc] simp #align list.chain'_append List.chain'_append theorem Chain'.append (h₁ : Chain' R l₁) (h₂ : Chain' R l₂) (h : ∀ x ∈ l₁.getLast?, ∀ y ∈ l₂.head?, R x y) : Chain' R (l₁ ++ l₂) := chain'_append.2 ⟨h₁, h₂, h⟩ #align list.chain'.append List.Chain'.append theorem Chain'.left_of_append (h : Chain' R (l₁ ++ l₂)) : Chain' R l₁ := (chain'_append.1 h).1 #align list.chain'.left_of_append List.Chain'.left_of_append theorem Chain'.right_of_append (h : Chain' R (l₁ ++ l₂)) : Chain' R l₂ := (chain'_append.1 h).2.1 #align list.chain'.right_of_append List.Chain'.right_of_append theorem Chain'.infix (h : Chain' R l) (h' : l₁ <:+: l) : Chain' R l₁ := by rcases h' with ⟨l₂, l₃, rfl⟩ exact h.left_of_append.right_of_append #align list.chain'.infix List.Chain'.infix theorem Chain'.suffix (h : Chain' R l) (h' : l₁ <:+ l) : Chain' R l₁ := h.infix h'.isInfix #align list.chain'.suffix List.Chain'.suffix theorem Chain'.prefix (h : Chain' R l) (h' : l₁ <+: l) : Chain' R l₁ := h.infix h'.isInfix #align list.chain'.prefix List.Chain'.prefix theorem Chain'.drop (h : Chain' R l) (n : ℕ) : Chain' R (drop n l) := h.suffix (drop_suffix _ _) #align list.chain'.drop List.Chain'.drop theorem Chain'.init (h : Chain' R l) : Chain' R l.dropLast := h.prefix l.dropLast_prefix #align list.chain'.init List.Chain'.init theorem Chain'.take (h : Chain' R l) (n : ℕ) : Chain' R (take n l) := h.prefix (take_prefix _ _) #align list.chain'.take List.Chain'.take
Mathlib/Data/List/Chain.lean
335
336
theorem chain'_pair {x y} : Chain' R [x, y] ↔ R x y := by
simp only [chain'_singleton, chain'_cons, and_true_iff]
import Mathlib.Order.CompleteLattice import Mathlib.Order.Cover import Mathlib.Order.Iterate import Mathlib.Order.WellFounded #align_import order.succ_pred.basic from "leanprover-community/mathlib"@"0111834459f5d7400215223ea95ae38a1265a907" open Function OrderDual Set variable {α β : Type*} @[ext] class SuccOrder (α : Type*) [Preorder α] where succ : α → α le_succ : ∀ a, a ≤ succ a max_of_succ_le {a} : succ a ≤ a → IsMax a succ_le_of_lt {a b} : a < b → succ a ≤ b le_of_lt_succ {a b} : a < succ b → a ≤ b #align succ_order SuccOrder #align succ_order.ext_iff SuccOrder.ext_iff #align succ_order.ext SuccOrder.ext @[ext] class PredOrder (α : Type*) [Preorder α] where pred : α → α pred_le : ∀ a, pred a ≤ a min_of_le_pred {a} : a ≤ pred a → IsMin a le_pred_of_lt {a b} : a < b → a ≤ pred b le_of_pred_lt {a b} : pred a < b → a ≤ b #align pred_order PredOrder #align pred_order.ext PredOrder.ext #align pred_order.ext_iff PredOrder.ext_iff instance [Preorder α] [SuccOrder α] : PredOrder αᵒᵈ where pred := toDual ∘ SuccOrder.succ ∘ ofDual pred_le := by simp only [comp, OrderDual.forall, ofDual_toDual, toDual_le_toDual, SuccOrder.le_succ, implies_true] min_of_le_pred h := by apply SuccOrder.max_of_succ_le h le_pred_of_lt := by intro a b h; exact SuccOrder.succ_le_of_lt h le_of_pred_lt := SuccOrder.le_of_lt_succ instance [Preorder α] [PredOrder α] : SuccOrder αᵒᵈ where succ := toDual ∘ PredOrder.pred ∘ ofDual le_succ := by simp only [comp, OrderDual.forall, ofDual_toDual, toDual_le_toDual, PredOrder.pred_le, implies_true] max_of_succ_le h := by apply PredOrder.min_of_le_pred h succ_le_of_lt := by intro a b h; exact PredOrder.le_pred_of_lt h le_of_lt_succ := PredOrder.le_of_pred_lt namespace Order section Preorder variable [Preorder α] [SuccOrder α] {a b : α} def succ : α → α := SuccOrder.succ #align order.succ Order.succ theorem le_succ : ∀ a : α, a ≤ succ a := SuccOrder.le_succ #align order.le_succ Order.le_succ theorem max_of_succ_le {a : α} : succ a ≤ a → IsMax a := SuccOrder.max_of_succ_le #align order.max_of_succ_le Order.max_of_succ_le theorem succ_le_of_lt {a b : α} : a < b → succ a ≤ b := SuccOrder.succ_le_of_lt #align order.succ_le_of_lt Order.succ_le_of_lt theorem le_of_lt_succ {a b : α} : a < succ b → a ≤ b := SuccOrder.le_of_lt_succ #align order.le_of_lt_succ Order.le_of_lt_succ @[simp] theorem succ_le_iff_isMax : succ a ≤ a ↔ IsMax a := ⟨max_of_succ_le, fun h => h <| le_succ _⟩ #align order.succ_le_iff_is_max Order.succ_le_iff_isMax @[simp] theorem lt_succ_iff_not_isMax : a < succ a ↔ ¬IsMax a := ⟨not_isMax_of_lt, fun ha => (le_succ a).lt_of_not_le fun h => ha <| max_of_succ_le h⟩ #align order.lt_succ_iff_not_is_max Order.lt_succ_iff_not_isMax alias ⟨_, lt_succ_of_not_isMax⟩ := lt_succ_iff_not_isMax #align order.lt_succ_of_not_is_max Order.lt_succ_of_not_isMax theorem wcovBy_succ (a : α) : a ⩿ succ a := ⟨le_succ a, fun _ hb => (succ_le_of_lt hb).not_lt⟩ #align order.wcovby_succ Order.wcovBy_succ theorem covBy_succ_of_not_isMax (h : ¬IsMax a) : a ⋖ succ a := (wcovBy_succ a).covBy_of_lt <| lt_succ_of_not_isMax h #align order.covby_succ_of_not_is_max Order.covBy_succ_of_not_isMax theorem lt_succ_iff_of_not_isMax (ha : ¬IsMax a) : b < succ a ↔ b ≤ a := ⟨le_of_lt_succ, fun h => h.trans_lt <| lt_succ_of_not_isMax ha⟩ #align order.lt_succ_iff_of_not_is_max Order.lt_succ_iff_of_not_isMax theorem succ_le_iff_of_not_isMax (ha : ¬IsMax a) : succ a ≤ b ↔ a < b := ⟨(lt_succ_of_not_isMax ha).trans_le, succ_le_of_lt⟩ #align order.succ_le_iff_of_not_is_max Order.succ_le_iff_of_not_isMax lemma succ_lt_succ_of_not_isMax (h : a < b) (hb : ¬ IsMax b) : succ a < succ b := (lt_succ_iff_of_not_isMax hb).2 <| succ_le_of_lt h theorem succ_lt_succ_iff_of_not_isMax (ha : ¬IsMax a) (hb : ¬IsMax b) : succ a < succ b ↔ a < b := by rw [lt_succ_iff_of_not_isMax hb, succ_le_iff_of_not_isMax ha] #align order.succ_lt_succ_iff_of_not_is_max Order.succ_lt_succ_iff_of_not_isMax theorem succ_le_succ_iff_of_not_isMax (ha : ¬IsMax a) (hb : ¬IsMax b) : succ a ≤ succ b ↔ a ≤ b := by rw [succ_le_iff_of_not_isMax ha, lt_succ_iff_of_not_isMax hb] #align order.succ_le_succ_iff_of_not_is_max Order.succ_le_succ_iff_of_not_isMax @[simp, mono] theorem succ_le_succ (h : a ≤ b) : succ a ≤ succ b := by by_cases hb : IsMax b · by_cases hba : b ≤ a · exact (hb <| hba.trans <| le_succ _).trans (le_succ _) · exact succ_le_of_lt ((h.lt_of_not_le hba).trans_le <| le_succ b) · rwa [succ_le_iff_of_not_isMax fun ha => hb <| ha.mono h, lt_succ_iff_of_not_isMax hb] #align order.succ_le_succ Order.succ_le_succ theorem succ_mono : Monotone (succ : α → α) := fun _ _ => succ_le_succ #align order.succ_mono Order.succ_mono theorem le_succ_iterate (k : ℕ) (x : α) : x ≤ succ^[k] x := by conv_lhs => rw [(by simp only [Function.iterate_id, id] : x = id^[k] x)] exact Monotone.le_iterate_of_le succ_mono le_succ k x #align order.le_succ_iterate Order.le_succ_iterate theorem isMax_iterate_succ_of_eq_of_lt {n m : ℕ} (h_eq : succ^[n] a = succ^[m] a) (h_lt : n < m) : IsMax (succ^[n] a) := by refine max_of_succ_le (le_trans ?_ h_eq.symm.le) have : succ (succ^[n] a) = succ^[n + 1] a := by rw [Function.iterate_succ', comp] rw [this] have h_le : n + 1 ≤ m := Nat.succ_le_of_lt h_lt exact Monotone.monotone_iterate_of_le_map succ_mono (le_succ a) h_le #align order.is_max_iterate_succ_of_eq_of_lt Order.isMax_iterate_succ_of_eq_of_lt
Mathlib/Order/SuccPred/Basic.lean
315
320
theorem isMax_iterate_succ_of_eq_of_ne {n m : ℕ} (h_eq : succ^[n] a = succ^[m] a) (h_ne : n ≠ m) : IsMax (succ^[n] a) := by
rcases le_total n m with h | h · exact isMax_iterate_succ_of_eq_of_lt h_eq (lt_of_le_of_ne h h_ne) · rw [h_eq] exact isMax_iterate_succ_of_eq_of_lt h_eq.symm (lt_of_le_of_ne h h_ne.symm)
import Mathlib.Data.Set.Image import Mathlib.Data.SProd #align_import data.set.prod from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4" open Function namespace Set section Prod variable {α β γ δ : Type*} {s s₁ s₂ : Set α} {t t₁ t₂ : Set β} {a : α} {b : β} theorem Subsingleton.prod (hs : s.Subsingleton) (ht : t.Subsingleton) : (s ×ˢ t).Subsingleton := fun _x hx _y hy ↦ Prod.ext (hs hx.1 hy.1) (ht hx.2 hy.2) noncomputable instance decidableMemProd [DecidablePred (· ∈ s)] [DecidablePred (· ∈ t)] : DecidablePred (· ∈ s ×ˢ t) := fun _ => And.decidable #align set.decidable_mem_prod Set.decidableMemProd @[gcongr] theorem prod_mono (hs : s₁ ⊆ s₂) (ht : t₁ ⊆ t₂) : s₁ ×ˢ t₁ ⊆ s₂ ×ˢ t₂ := fun _ ⟨h₁, h₂⟩ => ⟨hs h₁, ht h₂⟩ #align set.prod_mono Set.prod_mono @[gcongr] theorem prod_mono_left (hs : s₁ ⊆ s₂) : s₁ ×ˢ t ⊆ s₂ ×ˢ t := prod_mono hs Subset.rfl #align set.prod_mono_left Set.prod_mono_left @[gcongr] theorem prod_mono_right (ht : t₁ ⊆ t₂) : s ×ˢ t₁ ⊆ s ×ˢ t₂ := prod_mono Subset.rfl ht #align set.prod_mono_right Set.prod_mono_right @[simp] theorem prod_self_subset_prod_self : s₁ ×ˢ s₁ ⊆ s₂ ×ˢ s₂ ↔ s₁ ⊆ s₂ := ⟨fun h _ hx => (h (mk_mem_prod hx hx)).1, fun h _ hx => ⟨h hx.1, h hx.2⟩⟩ #align set.prod_self_subset_prod_self Set.prod_self_subset_prod_self @[simp] theorem prod_self_ssubset_prod_self : s₁ ×ˢ s₁ ⊂ s₂ ×ˢ s₂ ↔ s₁ ⊂ s₂ := and_congr prod_self_subset_prod_self <| not_congr prod_self_subset_prod_self #align set.prod_self_ssubset_prod_self Set.prod_self_ssubset_prod_self theorem prod_subset_iff {P : Set (α × β)} : s ×ˢ t ⊆ P ↔ ∀ x ∈ s, ∀ y ∈ t, (x, y) ∈ P := ⟨fun h _ hx _ hy => h (mk_mem_prod hx hy), fun h ⟨_, _⟩ hp => h _ hp.1 _ hp.2⟩ #align set.prod_subset_iff Set.prod_subset_iff theorem forall_prod_set {p : α × β → Prop} : (∀ x ∈ s ×ˢ t, p x) ↔ ∀ x ∈ s, ∀ y ∈ t, p (x, y) := prod_subset_iff #align set.forall_prod_set Set.forall_prod_set theorem exists_prod_set {p : α × β → Prop} : (∃ x ∈ s ×ˢ t, p x) ↔ ∃ x ∈ s, ∃ y ∈ t, p (x, y) := by simp [and_assoc] #align set.exists_prod_set Set.exists_prod_set @[simp] theorem prod_empty : s ×ˢ (∅ : Set β) = ∅ := by ext exact and_false_iff _ #align set.prod_empty Set.prod_empty @[simp] theorem empty_prod : (∅ : Set α) ×ˢ t = ∅ := by ext exact false_and_iff _ #align set.empty_prod Set.empty_prod @[simp, mfld_simps] theorem univ_prod_univ : @univ α ×ˢ @univ β = univ := by ext exact true_and_iff _ #align set.univ_prod_univ Set.univ_prod_univ theorem univ_prod {t : Set β} : (univ : Set α) ×ˢ t = Prod.snd ⁻¹' t := by simp [prod_eq] #align set.univ_prod Set.univ_prod
Mathlib/Data/Set/Prod.lean
104
104
theorem prod_univ {s : Set α} : s ×ˢ (univ : Set β) = Prod.fst ⁻¹' s := by
simp [prod_eq]
import Mathlib.Order.UpperLower.Basic import Mathlib.Data.Finset.Preimage #align_import combinatorics.young.young_diagram from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf" open Function @[ext] structure YoungDiagram where cells : Finset (ℕ × ℕ) isLowerSet : IsLowerSet (cells : Set (ℕ × ℕ)) #align young_diagram YoungDiagram namespace YoungDiagram instance : SetLike YoungDiagram (ℕ × ℕ) where -- Porting note (#11215): TODO: figure out how to do this correctly coe := fun y => y.cells coe_injective' μ ν h := by rwa [YoungDiagram.ext_iff, ← Finset.coe_inj] @[simp] theorem mem_cells {μ : YoungDiagram} (c : ℕ × ℕ) : c ∈ μ.cells ↔ c ∈ μ := Iff.rfl #align young_diagram.mem_cells YoungDiagram.mem_cells @[simp] theorem mem_mk (c : ℕ × ℕ) (cells) (isLowerSet) : c ∈ YoungDiagram.mk cells isLowerSet ↔ c ∈ cells := Iff.rfl #align young_diagram.mem_mk YoungDiagram.mem_mk instance decidableMem (μ : YoungDiagram) : DecidablePred (· ∈ μ) := inferInstanceAs (DecidablePred (· ∈ μ.cells)) #align young_diagram.decidable_mem YoungDiagram.decidableMem theorem up_left_mem (μ : YoungDiagram) {i1 i2 j1 j2 : ℕ} (hi : i1 ≤ i2) (hj : j1 ≤ j2) (hcell : (i2, j2) ∈ μ) : (i1, j1) ∈ μ := μ.isLowerSet (Prod.mk_le_mk.mpr ⟨hi, hj⟩) hcell #align young_diagram.up_left_mem YoungDiagram.up_left_mem protected abbrev card (μ : YoungDiagram) : ℕ := μ.cells.card #align young_diagram.card YoungDiagram.card section Rows def row (μ : YoungDiagram) (i : ℕ) : Finset (ℕ × ℕ) := μ.cells.filter fun c => c.fst = i #align young_diagram.row YoungDiagram.row
Mathlib/Combinatorics/Young/YoungDiagram.lean
285
286
theorem mem_row_iff {μ : YoungDiagram} {i : ℕ} {c : ℕ × ℕ} : c ∈ μ.row i ↔ c ∈ μ ∧ c.fst = i := by
simp [row]
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure import Mathlib.RingTheory.IntegralDomain #align_import field_theory.primitive_element from "leanprover-community/mathlib"@"df76f43357840485b9d04ed5dee5ab115d420e87" noncomputable section open scoped Classical Polynomial open FiniteDimensional Polynomial IntermediateField namespace Field variable (F E : Type*) [Field F] [Field E] variable [Algebra F E] section FiniteIntermediateField -- TODO: show a more generalized result: [F⟮α⟯ : F⟮α ^ m⟯] = m if m > 0 and α transcendental. theorem isAlgebraic_of_adjoin_eq_adjoin {α : E} {m n : ℕ} (hneq : m ≠ n) (heq : F⟮α ^ m⟯ = F⟮α ^ n⟯) : IsAlgebraic F α := by wlog hmn : m < n · exact this F E hneq.symm heq.symm (hneq.lt_or_lt.resolve_left hmn) by_cases hm : m = 0 · rw [hm] at heq hmn simp only [pow_zero, adjoin_one] at heq obtain ⟨y, h⟩ := mem_bot.1 (heq.symm ▸ mem_adjoin_simple_self F (α ^ n)) refine ⟨X ^ n - C y, X_pow_sub_C_ne_zero hmn y, ?_⟩ simp only [map_sub, map_pow, aeval_X, aeval_C, h, sub_self] obtain ⟨r, s, h⟩ := (mem_adjoin_simple_iff F _).1 (heq ▸ mem_adjoin_simple_self F (α ^ m)) by_cases hzero : aeval (α ^ n) s = 0 · simp only [hzero, div_zero, pow_eq_zero_iff hm] at h exact h.symm ▸ isAlgebraic_zero replace hm : 0 < m := Nat.pos_of_ne_zero hm rw [eq_div_iff hzero, ← sub_eq_zero] at h replace hzero : s ≠ 0 := by rintro rfl; simp only [map_zero, not_true_eq_false] at hzero let f : F[X] := X ^ m * expand F n s - expand F n r refine ⟨f, ?_, ?_⟩ · have : f.coeff (n * s.natDegree + m) ≠ 0 := by have hn : 0 < n := by linarith only [hm, hmn] have hndvd : ¬ n ∣ n * s.natDegree + m := by rw [← Nat.dvd_add_iff_right (n.dvd_mul_right s.natDegree)] exact Nat.not_dvd_of_pos_of_lt hm hmn simp only [f, coeff_sub, coeff_X_pow_mul, s.coeff_expand_mul' hn, coeff_natDegree, coeff_expand hn r, hndvd, ite_false, sub_zero] exact leadingCoeff_ne_zero.2 hzero intro h simp only [h, coeff_zero, ne_eq, not_true_eq_false] at this · simp only [f, map_sub, map_mul, map_pow, aeval_X, expand_aeval, h] theorem isAlgebraic_of_finite_intermediateField [Finite (IntermediateField F E)] : Algebra.IsAlgebraic F E := ⟨fun α ↦ have ⟨_m, _n, hneq, heq⟩ := Finite.exists_ne_map_eq_of_infinite fun n ↦ F⟮α ^ n⟯ isAlgebraic_of_adjoin_eq_adjoin F E hneq heq⟩
Mathlib/FieldTheory/PrimitiveElement.lean
282
292
theorem FiniteDimensional.of_finite_intermediateField [Finite (IntermediateField F E)] : FiniteDimensional F E := by
let IF := { K : IntermediateField F E // ∃ x, K = F⟮x⟯ } have := isAlgebraic_of_finite_intermediateField F E haveI : ∀ K : IF, FiniteDimensional F K.1 := fun ⟨_, x, rfl⟩ ↦ adjoin.finiteDimensional (Algebra.IsIntegral.isIntegral _) have hfin := finiteDimensional_iSup_of_finite (t := fun K : IF ↦ K.1) have htop : ⨆ K : IF, K.1 = ⊤ := le_top.antisymm fun x _ ↦ le_iSup (fun K : IF ↦ K.1) ⟨F⟮x⟯, x, rfl⟩ <| mem_adjoin_simple_self F x rw [htop] at hfin exact topEquiv.toLinearEquiv.finiteDimensional
import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Combinatorics.Enumerative.DoubleCounting import Mathlib.Data.Finset.Pointwise import Mathlib.Tactic.GCongr #align_import combinatorics.additive.pluennecke_ruzsa from "leanprover-community/mathlib"@"4aab2abced69a9e579b1e6dc2856ed3db48e2cbd" open Nat open NNRat Pointwise namespace Finset variable {α : Type*} [CommGroup α] [DecidableEq α] {A B C : Finset α} @[to_additive card_sub_mul_le_card_sub_mul_card_sub "**Ruzsa's triangle inequality**. Subtraction version."]
Mathlib/Combinatorics/Additive/PluenneckeRuzsa.lean
45
56
theorem card_div_mul_le_card_div_mul_card_div (A B C : Finset α) : (A / C).card * B.card ≤ (A / B).card * (B / C).card := by
rw [← card_product (A / B), ← mul_one ((A / B) ×ˢ (B / C)).card] refine card_mul_le_card_mul (fun b ac ↦ ac.1 * ac.2 = b) (fun x hx ↦ ?_) fun x _ ↦ card_le_one_iff.2 fun hu hv ↦ ((mem_bipartiteBelow _).1 hu).2.symm.trans ?_ obtain ⟨a, ha, c, hc, rfl⟩ := mem_div.1 hx refine card_le_card_of_inj_on (fun b ↦ (a / b, b / c)) (fun b hb ↦ ?_) fun b₁ _ b₂ _ h ↦ ?_ · rw [mem_bipartiteAbove] exact ⟨mk_mem_product (div_mem_div ha hb) (div_mem_div hb hc), div_mul_div_cancel' _ _ _⟩ · exact div_right_injective (Prod.ext_iff.1 h).1 · exact ((mem_bipartiteBelow _).1 hv).2
import Mathlib.AlgebraicTopology.DoldKan.PInfty #align_import algebraic_topology.dold_kan.decomposition from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504" open CategoryTheory CategoryTheory.Category CategoryTheory.Preadditive Opposite Simplicial noncomputable section namespace AlgebraicTopology namespace DoldKan variable {C : Type*} [Category C] [Preadditive C] {X X' : SimplicialObject C} theorem decomposition_Q (n q : ℕ) : ((Q q).f (n + 1) : X _[n + 1] ⟶ X _[n + 1]) = ∑ i ∈ Finset.filter (fun i : Fin (n + 1) => (i : ℕ) < q) Finset.univ, (P i).f (n + 1) ≫ X.δ i.rev.succ ≫ X.σ (Fin.rev i) := by induction' q with q hq · simp only [Nat.zero_eq, Q_zero, HomologicalComplex.zero_f_apply, Nat.not_lt_zero, Finset.filter_False, Finset.sum_empty] · by_cases hqn : q + 1 ≤ n + 1 swap · rw [Q_is_eventually_constant (show n + 1 ≤ q by omega), hq] congr 1 ext ⟨x, hx⟩ simp only [Nat.succ_eq_add_one, Finset.mem_filter, Finset.mem_univ, true_and] omega · cases' Nat.le.dest (Nat.succ_le_succ_iff.mp hqn) with a ha rw [Q_succ, HomologicalComplex.sub_f_apply, HomologicalComplex.comp_f, hq] symm conv_rhs => rw [sub_eq_add_neg, add_comm] let q' : Fin (n + 1) := ⟨q, Nat.succ_le_iff.mp hqn⟩ rw [← @Finset.add_sum_erase _ _ _ _ _ _ q' (by simp)] congr · have hnaq' : n = a + q := by omega simp only [Fin.val_mk, (HigherFacesVanish.of_P q n).comp_Hσ_eq hnaq', q'.rev_eq hnaq', neg_neg] rfl · ext ⟨i, hi⟩ simp only [q', Nat.succ_eq_add_one, Nat.lt_succ_iff_lt_or_eq, Finset.mem_univ, forall_true_left, Finset.mem_filter, lt_self_iff_false, or_true, and_self, not_true, Finset.mem_erase, ne_eq, Fin.mk.injEq, true_and] aesop set_option linter.uppercaseLean3 false in #align algebraic_topology.dold_kan.decomposition_Q AlgebraicTopology.DoldKan.decomposition_Q variable (X) -- porting note (#5171): removed @[nolint has_nonempty_instance] @[ext] structure MorphComponents (n : ℕ) (Z : C) where a : X _[n + 1] ⟶ Z b : Fin (n + 1) → (X _[n] ⟶ Z) #align algebraic_topology.dold_kan.morph_components AlgebraicTopology.DoldKan.MorphComponents namespace MorphComponents variable {X} {n : ℕ} {Z Z' : C} (f : MorphComponents X n Z) (g : X' ⟶ X) (h : Z ⟶ Z') def φ {Z : C} (f : MorphComponents X n Z) : X _[n + 1] ⟶ Z := PInfty.f (n + 1) ≫ f.a + ∑ i : Fin (n + 1), (P i).f (n + 1) ≫ X.δ i.rev.succ ≫ f.b (Fin.rev i) #align algebraic_topology.dold_kan.morph_components.φ AlgebraicTopology.DoldKan.MorphComponents.φ variable (X n) @[simps] def id : MorphComponents X n (X _[n + 1]) where a := PInfty.f (n + 1) b i := X.σ i #align algebraic_topology.dold_kan.morph_components.id AlgebraicTopology.DoldKan.MorphComponents.id @[simp] theorem id_φ : (id X n).φ = 𝟙 _ := by simp only [← P_add_Q_f (n + 1) (n + 1), φ] congr 1 · simp only [id, PInfty_f, P_f_idem] · exact Eq.trans (by congr; simp) (decomposition_Q n (n + 1)).symm #align algebraic_topology.dold_kan.morph_components.id_φ AlgebraicTopology.DoldKan.MorphComponents.id_φ variable {X n} @[simps] def postComp : MorphComponents X n Z' where a := f.a ≫ h b i := f.b i ≫ h #align algebraic_topology.dold_kan.morph_components.post_comp AlgebraicTopology.DoldKan.MorphComponents.postComp @[simp]
Mathlib/AlgebraicTopology/DoldKan/Decomposition.lean
137
139
theorem postComp_φ : (f.postComp h).φ = f.φ ≫ h := by
unfold φ postComp simp only [add_comp, sum_comp, assoc]
import Mathlib.Data.Nat.Factorial.Basic import Mathlib.Order.Monotone.Basic #align_import data.nat.choose.basic from "leanprover-community/mathlib"@"2f3994e1b117b1e1da49bcfb67334f33460c3ce4" open Nat namespace Nat def choose : ℕ → ℕ → ℕ | _, 0 => 1 | 0, _ + 1 => 0 | n + 1, k + 1 => choose n k + choose n (k + 1) #align nat.choose Nat.choose @[simp] theorem choose_zero_right (n : ℕ) : choose n 0 = 1 := by cases n <;> rfl #align nat.choose_zero_right Nat.choose_zero_right @[simp] theorem choose_zero_succ (k : ℕ) : choose 0 (succ k) = 0 := rfl #align nat.choose_zero_succ Nat.choose_zero_succ theorem choose_succ_succ (n k : ℕ) : choose (succ n) (succ k) = choose n k + choose n (succ k) := rfl #align nat.choose_succ_succ Nat.choose_succ_succ theorem choose_succ_succ' (n k : ℕ) : choose (n + 1) (k + 1) = choose n k + choose n (k + 1) := rfl theorem choose_eq_zero_of_lt : ∀ {n k}, n < k → choose n k = 0 | _, 0, hk => absurd hk (Nat.not_lt_zero _) | 0, k + 1, _ => choose_zero_succ _ | n + 1, k + 1, hk => by have hnk : n < k := lt_of_succ_lt_succ hk have hnk1 : n < k + 1 := lt_of_succ_lt hk rw [choose_succ_succ, choose_eq_zero_of_lt hnk, choose_eq_zero_of_lt hnk1] #align nat.choose_eq_zero_of_lt Nat.choose_eq_zero_of_lt @[simp] theorem choose_self (n : ℕ) : choose n n = 1 := by induction n <;> simp [*, choose, choose_eq_zero_of_lt (lt_succ_self _)] #align nat.choose_self Nat.choose_self @[simp] theorem choose_succ_self (n : ℕ) : choose n (succ n) = 0 := choose_eq_zero_of_lt (lt_succ_self _) #align nat.choose_succ_self Nat.choose_succ_self @[simp] lemma choose_one_right (n : ℕ) : choose n 1 = n := by induction n <;> simp [*, choose, Nat.add_comm] #align nat.choose_one_right Nat.choose_one_right -- The `n+1`-st triangle number is `n` more than the `n`-th triangle number theorem triangle_succ (n : ℕ) : (n + 1) * (n + 1 - 1) / 2 = n * (n - 1) / 2 + n := by rw [← add_mul_div_left, Nat.mul_comm 2 n, ← Nat.mul_add, Nat.add_sub_cancel, Nat.mul_comm] cases n <;> rfl; apply zero_lt_succ #align nat.triangle_succ Nat.triangle_succ theorem choose_two_right (n : ℕ) : choose n 2 = n * (n - 1) / 2 := by induction' n with n ih · simp · rw [triangle_succ n, choose, ih] simp [Nat.add_comm] #align nat.choose_two_right Nat.choose_two_right theorem choose_pos : ∀ {n k}, k ≤ n → 0 < choose n k | 0, _, hk => by rw [Nat.eq_zero_of_le_zero hk]; decide | n + 1, 0, _ => by simp | n + 1, k + 1, hk => Nat.add_pos_left (choose_pos (le_of_succ_le_succ hk)) _ #align nat.choose_pos Nat.choose_pos theorem choose_eq_zero_iff {n k : ℕ} : n.choose k = 0 ↔ n < k := ⟨fun h => lt_of_not_ge (mt Nat.choose_pos h.symm.not_lt), Nat.choose_eq_zero_of_lt⟩ #align nat.choose_eq_zero_iff Nat.choose_eq_zero_iff theorem succ_mul_choose_eq : ∀ n k, succ n * choose n k = choose (succ n) (succ k) * succ k | 0, 0 => by decide | 0, k + 1 => by simp [choose] | n + 1, 0 => by simp [choose, mul_succ, succ_eq_add_one, Nat.add_comm] | n + 1, k + 1 => by rw [choose_succ_succ (succ n) (succ k), Nat.add_mul, ← succ_mul_choose_eq n, mul_succ, ← succ_mul_choose_eq n, Nat.add_right_comm, ← Nat.mul_add, ← choose_succ_succ, ← succ_mul] #align nat.succ_mul_choose_eq Nat.succ_mul_choose_eq theorem choose_mul_factorial_mul_factorial : ∀ {n k}, k ≤ n → choose n k * k ! * (n - k)! = n ! | 0, _, hk => by simp [Nat.eq_zero_of_le_zero hk] | n + 1, 0, _ => by simp | n + 1, succ k, hk => by rcases lt_or_eq_of_le hk with hk₁ | hk₁ · have h : choose n k * k.succ ! * (n - k)! = (k + 1) * n ! := by rw [← choose_mul_factorial_mul_factorial (le_of_succ_le_succ hk)] simp [factorial_succ, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc] have h₁ : (n - k)! = (n - k) * (n - k.succ)! := by rw [← succ_sub_succ, succ_sub (le_of_lt_succ hk₁), factorial_succ] have h₂ : choose n (succ k) * k.succ ! * ((n - k) * (n - k.succ)!) = (n - k) * n ! := by rw [← choose_mul_factorial_mul_factorial (le_of_lt_succ hk₁)] simp [factorial_succ, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc] have h₃ : k * n ! ≤ n * n ! := Nat.mul_le_mul_right _ (le_of_succ_le_succ hk) rw [choose_succ_succ, Nat.add_mul, Nat.add_mul, succ_sub_succ, h, h₁, h₂, Nat.add_mul, Nat.mul_sub_right_distrib, factorial_succ, ← Nat.add_sub_assoc h₃, Nat.add_assoc, ← Nat.add_mul, Nat.add_sub_cancel_left, Nat.add_comm] · rw [hk₁]; simp [hk₁, Nat.mul_comm, choose, Nat.sub_self] #align nat.choose_mul_factorial_mul_factorial Nat.choose_mul_factorial_mul_factorial theorem choose_mul {n k s : ℕ} (hkn : k ≤ n) (hsk : s ≤ k) : n.choose k * k.choose s = n.choose s * (n - s).choose (k - s) := have h : 0 < (n - k)! * (k - s)! * s ! := by apply_rules [factorial_pos, Nat.mul_pos] Nat.mul_right_cancel h <| calc n.choose k * k.choose s * ((n - k)! * (k - s)! * s !) = n.choose k * (k.choose s * s ! * (k - s)!) * (n - k)! := by rw [Nat.mul_assoc, Nat.mul_assoc, Nat.mul_assoc, Nat.mul_assoc _ s !, Nat.mul_assoc, Nat.mul_comm (n - k)!, Nat.mul_comm s !] _ = n ! := by rw [choose_mul_factorial_mul_factorial hsk, choose_mul_factorial_mul_factorial hkn] _ = n.choose s * s ! * ((n - s).choose (k - s) * (k - s)! * (n - s - (k - s))!) := by rw [choose_mul_factorial_mul_factorial (Nat.sub_le_sub_right hkn _), choose_mul_factorial_mul_factorial (hsk.trans hkn)] _ = n.choose s * (n - s).choose (k - s) * ((n - k)! * (k - s)! * s !) := by rw [Nat.sub_sub_sub_cancel_right hsk, Nat.mul_assoc, Nat.mul_left_comm s !, Nat.mul_assoc, Nat.mul_comm (k - s)!, Nat.mul_comm s !, Nat.mul_right_comm, ← Nat.mul_assoc] #align nat.choose_mul Nat.choose_mul theorem choose_eq_factorial_div_factorial {n k : ℕ} (hk : k ≤ n) : choose n k = n ! / (k ! * (n - k)!) := by rw [← choose_mul_factorial_mul_factorial hk, Nat.mul_assoc] exact (mul_div_left _ (Nat.mul_pos (factorial_pos _) (factorial_pos _))).symm #align nat.choose_eq_factorial_div_factorial Nat.choose_eq_factorial_div_factorial theorem add_choose (i j : ℕ) : (i + j).choose j = (i + j)! / (i ! * j !) := by rw [choose_eq_factorial_div_factorial (Nat.le_add_left j i), Nat.add_sub_cancel_right, Nat.mul_comm] #align nat.add_choose Nat.add_choose theorem add_choose_mul_factorial_mul_factorial (i j : ℕ) : (i + j).choose j * i ! * j ! = (i + j)! := by rw [← choose_mul_factorial_mul_factorial (Nat.le_add_left _ _), Nat.add_sub_cancel_right, Nat.mul_right_comm] #align nat.add_choose_mul_factorial_mul_factorial Nat.add_choose_mul_factorial_mul_factorial theorem factorial_mul_factorial_dvd_factorial {n k : ℕ} (hk : k ≤ n) : k ! * (n - k)! ∣ n ! := by rw [← choose_mul_factorial_mul_factorial hk, Nat.mul_assoc]; exact Nat.dvd_mul_left _ _ #align nat.factorial_mul_factorial_dvd_factorial Nat.factorial_mul_factorial_dvd_factorial theorem factorial_mul_factorial_dvd_factorial_add (i j : ℕ) : i ! * j ! ∣ (i + j)! := by suffices i ! * (i + j - i) ! ∣ (i + j)! by rwa [Nat.add_sub_cancel_left i j] at this exact factorial_mul_factorial_dvd_factorial (Nat.le_add_right _ _) #align nat.factorial_mul_factorial_dvd_factorial_add Nat.factorial_mul_factorial_dvd_factorial_add @[simp] theorem choose_symm {n k : ℕ} (hk : k ≤ n) : choose n (n - k) = choose n k := by rw [choose_eq_factorial_div_factorial hk, choose_eq_factorial_div_factorial (Nat.sub_le _ _), Nat.sub_sub_self hk, Nat.mul_comm] #align nat.choose_symm Nat.choose_symm theorem choose_symm_of_eq_add {n a b : ℕ} (h : n = a + b) : Nat.choose n a = Nat.choose n b := by suffices choose n (n - b) = choose n b by rw [h, Nat.add_sub_cancel_right] at this; rwa [h] exact choose_symm (h ▸ le_add_left _ _) #align nat.choose_symm_of_eq_add Nat.choose_symm_of_eq_add theorem choose_symm_add {a b : ℕ} : choose (a + b) a = choose (a + b) b := choose_symm_of_eq_add rfl #align nat.choose_symm_add Nat.choose_symm_add theorem choose_symm_half (m : ℕ) : choose (2 * m + 1) (m + 1) = choose (2 * m + 1) m := by apply choose_symm_of_eq_add rw [Nat.add_comm m 1, Nat.add_assoc 1 m m, Nat.add_comm (2 * m) 1, Nat.two_mul m] #align nat.choose_symm_half Nat.choose_symm_half theorem choose_succ_right_eq (n k : ℕ) : choose n (k + 1) * (k + 1) = choose n k * (n - k) := by have e : (n + 1) * choose n k = choose n (k + 1) * (k + 1) + choose n k * (k + 1) := by rw [← Nat.add_mul, Nat.add_comm (choose _ _), ← choose_succ_succ, succ_mul_choose_eq] rw [← Nat.sub_eq_of_eq_add e, Nat.mul_comm, ← Nat.mul_sub_left_distrib, Nat.add_sub_add_right] #align nat.choose_succ_right_eq Nat.choose_succ_right_eq @[simp] theorem choose_succ_self_right : ∀ n : ℕ, (n + 1).choose n = n + 1 | 0 => rfl | n + 1 => by rw [choose_succ_succ, choose_succ_self_right n, choose_self] #align nat.choose_succ_self_right Nat.choose_succ_self_right theorem choose_mul_succ_eq (n k : ℕ) : n.choose k * (n + 1) = (n + 1).choose k * (n + 1 - k) := by cases k with | zero => simp | succ k => obtain hk | hk := le_or_lt (k + 1) (n + 1) · rw [choose_succ_succ, Nat.add_mul, succ_sub_succ, ← choose_succ_right_eq, ← succ_sub_succ, Nat.mul_sub_left_distrib, Nat.add_sub_cancel' (Nat.mul_le_mul_left _ hk)] · rw [choose_eq_zero_of_lt hk, choose_eq_zero_of_lt (n.lt_succ_self.trans hk), Nat.zero_mul, Nat.zero_mul] #align nat.choose_mul_succ_eq Nat.choose_mul_succ_eq theorem ascFactorial_eq_factorial_mul_choose (n k : ℕ) : (n + 1).ascFactorial k = k ! * (n + k).choose k := by rw [Nat.mul_comm] apply Nat.mul_right_cancel (n + k - k).factorial_pos rw [choose_mul_factorial_mul_factorial <| Nat.le_add_left k n, Nat.add_sub_cancel_right, ← factorial_mul_ascFactorial, Nat.mul_comm] #align nat.asc_factorial_eq_factorial_mul_choose Nat.ascFactorial_eq_factorial_mul_choose theorem ascFactorial_eq_factorial_mul_choose' (n k : ℕ) : n.ascFactorial k = k ! * (n + k - 1).choose k := by cases n · cases k · rw [ascFactorial_zero, choose_zero_right, factorial_zero, Nat.mul_one] · simp only [zero_ascFactorial, zero_eq, Nat.zero_add, succ_sub_succ_eq_sub, Nat.le_zero_eq, Nat.sub_zero, choose_succ_self, Nat.mul_zero] rw [ascFactorial_eq_factorial_mul_choose] simp only [succ_add_sub_one] theorem factorial_dvd_ascFactorial (n k : ℕ) : k ! ∣ n.ascFactorial k := ⟨(n + k - 1).choose k, ascFactorial_eq_factorial_mul_choose' _ _⟩ #align nat.factorial_dvd_asc_factorial Nat.factorial_dvd_ascFactorial theorem choose_eq_asc_factorial_div_factorial (n k : ℕ) : (n + k).choose k = (n + 1).ascFactorial k / k ! := by apply Nat.mul_left_cancel k.factorial_pos rw [← ascFactorial_eq_factorial_mul_choose] exact (Nat.mul_div_cancel' <| factorial_dvd_ascFactorial _ _).symm #align nat.choose_eq_asc_factorial_div_factorial Nat.choose_eq_asc_factorial_div_factorial theorem choose_eq_asc_factorial_div_factorial' (n k : ℕ) : (n + k - 1).choose k = n.ascFactorial k / k ! := Nat.eq_div_of_mul_eq_right k.factorial_ne_zero (ascFactorial_eq_factorial_mul_choose' _ _).symm theorem descFactorial_eq_factorial_mul_choose (n k : ℕ) : n.descFactorial k = k ! * n.choose k := by obtain h | h := Nat.lt_or_ge n k · rw [descFactorial_eq_zero_iff_lt.2 h, choose_eq_zero_of_lt h, Nat.mul_zero] rw [Nat.mul_comm] apply Nat.mul_right_cancel (n - k).factorial_pos rw [choose_mul_factorial_mul_factorial h, ← factorial_mul_descFactorial h, Nat.mul_comm] #align nat.desc_factorial_eq_factorial_mul_choose Nat.descFactorial_eq_factorial_mul_choose theorem factorial_dvd_descFactorial (n k : ℕ) : k ! ∣ n.descFactorial k := ⟨n.choose k, descFactorial_eq_factorial_mul_choose _ _⟩ #align nat.factorial_dvd_desc_factorial Nat.factorial_dvd_descFactorial theorem choose_eq_descFactorial_div_factorial (n k : ℕ) : n.choose k = n.descFactorial k / k ! := Nat.eq_div_of_mul_eq_right k.factorial_ne_zero (descFactorial_eq_factorial_mul_choose _ _).symm #align nat.choose_eq_desc_factorial_div_factorial Nat.choose_eq_descFactorial_div_factorial def fast_choose n k := Nat.descFactorial n k / Nat.factorial k @[csimp] lemma choose_eq_fast_choose : Nat.choose = fast_choose := funext (fun _ => funext (Nat.choose_eq_descFactorial_div_factorial _)) theorem choose_le_succ_of_lt_half_left {r n : ℕ} (h : r < n / 2) : choose n r ≤ choose n (r + 1) := by refine Nat.le_of_mul_le_mul_right ?_ (Nat.sub_pos_of_lt (h.trans_le (n.div_le_self 2))) rw [← choose_succ_right_eq] apply Nat.mul_le_mul_left rw [← Nat.lt_iff_add_one_le, Nat.lt_sub_iff_add_lt, ← Nat.mul_two] exact lt_of_lt_of_le (Nat.mul_lt_mul_of_pos_right h Nat.zero_lt_two) (n.div_mul_le_self 2) #align nat.choose_le_succ_of_lt_half_left Nat.choose_le_succ_of_lt_half_left private theorem choose_le_middle_of_le_half_left {n r : ℕ} (hr : r ≤ n / 2) : choose n r ≤ choose n (n / 2) := decreasingInduction (fun _ k a => (eq_or_lt_of_le a).elim (fun t => t.symm ▸ le_rfl) fun h => (choose_le_succ_of_lt_half_left h).trans (k h)) hr (fun _ => le_rfl) hr theorem choose_le_middle (r n : ℕ) : choose n r ≤ choose n (n / 2) := by cases' le_or_gt r n with b b · rcases le_or_lt r (n / 2) with a | h · apply choose_le_middle_of_le_half_left a · rw [← choose_symm b] apply choose_le_middle_of_le_half_left rw [div_lt_iff_lt_mul' Nat.zero_lt_two] at h rw [le_div_iff_mul_le' Nat.zero_lt_two, Nat.mul_sub_right_distrib, Nat.sub_le_iff_le_add, ← Nat.sub_le_iff_le_add', Nat.mul_two, Nat.add_sub_cancel] exact le_of_lt h · rw [choose_eq_zero_of_lt b] apply zero_le #align nat.choose_le_middle Nat.choose_le_middle theorem choose_le_succ (a c : ℕ) : choose a c ≤ choose a.succ c := by cases c <;> simp [Nat.choose_succ_succ] #align nat.choose_le_succ Nat.choose_le_succ theorem choose_le_add (a b c : ℕ) : choose a c ≤ choose (a + b) c := by induction' b with b_n b_ih · simp exact le_trans b_ih (choose_le_succ (a + b_n) c) #align nat.choose_le_add Nat.choose_le_add theorem choose_le_choose {a b : ℕ} (c : ℕ) (h : a ≤ b) : choose a c ≤ choose b c := Nat.add_sub_cancel' h ▸ choose_le_add a (b - a) c #align nat.choose_le_choose Nat.choose_le_choose theorem choose_mono (b : ℕ) : Monotone fun a => choose a b := fun _ _ => choose_le_choose b #align nat.choose_mono Nat.choose_mono def multichoose : ℕ → ℕ → ℕ | _, 0 => 1 | 0, _ + 1 => 0 | n + 1, k + 1 => multichoose n (k + 1) + multichoose (n + 1) k #align nat.multichoose Nat.multichoose @[simp] theorem multichoose_zero_right (n : ℕ) : multichoose n 0 = 1 := by cases n <;> simp [multichoose] #align nat.multichoose_zero_right Nat.multichoose_zero_right @[simp] theorem multichoose_zero_succ (k : ℕ) : multichoose 0 (k + 1) = 0 := by simp [multichoose] #align nat.multichoose_zero_succ Nat.multichoose_zero_succ theorem multichoose_succ_succ (n k : ℕ) : multichoose (n + 1) (k + 1) = multichoose n (k + 1) + multichoose (n + 1) k := by simp [multichoose] #align nat.multichoose_succ_succ Nat.multichoose_succ_succ @[simp] theorem multichoose_one (k : ℕ) : multichoose 1 k = 1 := by induction' k with k IH; · simp simp [multichoose_succ_succ 0 k, IH] #align nat.multichoose_one Nat.multichoose_one @[simp]
Mathlib/Data/Nat/Choose/Basic.lean
397
400
theorem multichoose_two (k : ℕ) : multichoose 2 k = k + 1 := by
induction' k with k IH; · simp rw [multichoose, IH] simp [Nat.add_comm, succ_eq_add_one]
import Mathlib.SetTheory.Ordinal.Arithmetic #align_import set_theory.ordinal.exponential from "leanprover-community/mathlib"@"b67044ba53af18680e1dd246861d9584e968495d" noncomputable section open Function Cardinal Set Equiv Order open scoped Classical open Cardinal Ordinal universe u v w namespace Ordinal instance pow : Pow Ordinal Ordinal := ⟨fun a b => if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b⟩ -- Porting note: Ambiguous notations. -- local infixr:0 "^" => @Pow.pow Ordinal Ordinal Ordinal.instPowOrdinalOrdinal theorem opow_def (a b : Ordinal) : a ^ b = if a = 0 then 1 - b else limitRecOn b 1 (fun _ IH => IH * a) fun b _ => bsup.{u, u} b := rfl #align ordinal.opow_def Ordinal.opow_def -- Porting note: `if_pos rfl` → `if_true` theorem zero_opow' (a : Ordinal) : 0 ^ a = 1 - a := by simp only [opow_def, if_true] #align ordinal.zero_opow' Ordinal.zero_opow' @[simp] theorem zero_opow {a : Ordinal} (a0 : a ≠ 0) : (0 : Ordinal) ^ a = 0 := by rwa [zero_opow', Ordinal.sub_eq_zero_iff_le, one_le_iff_ne_zero] #align ordinal.zero_opow Ordinal.zero_opow @[simp] theorem opow_zero (a : Ordinal) : a ^ (0 : Ordinal) = 1 := by by_cases h : a = 0 · simp only [opow_def, if_pos h, sub_zero] · simp only [opow_def, if_neg h, limitRecOn_zero] #align ordinal.opow_zero Ordinal.opow_zero @[simp] theorem opow_succ (a b : Ordinal) : a ^ succ b = a ^ b * a := if h : a = 0 then by subst a; simp only [zero_opow (succ_ne_zero _), mul_zero] else by simp only [opow_def, limitRecOn_succ, if_neg h] #align ordinal.opow_succ Ordinal.opow_succ theorem opow_limit {a b : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b = bsup.{u, u} b fun c _ => a ^ c := by simp only [opow_def, if_neg a0]; rw [limitRecOn_limit _ _ _ _ h] #align ordinal.opow_limit Ordinal.opow_limit theorem opow_le_of_limit {a b c : Ordinal} (a0 : a ≠ 0) (h : IsLimit b) : a ^ b ≤ c ↔ ∀ b' < b, a ^ b' ≤ c := by rw [opow_limit a0 h, bsup_le_iff] #align ordinal.opow_le_of_limit Ordinal.opow_le_of_limit theorem lt_opow_of_limit {a b c : Ordinal} (b0 : b ≠ 0) (h : IsLimit c) : a < b ^ c ↔ ∃ c' < c, a < b ^ c' := by rw [← not_iff_not, not_exists]; simp only [not_lt, opow_le_of_limit b0 h, exists_prop, not_and] #align ordinal.lt_opow_of_limit Ordinal.lt_opow_of_limit @[simp]
Mathlib/SetTheory/Ordinal/Exponential.lean
78
79
theorem opow_one (a : Ordinal) : a ^ (1 : Ordinal) = a := by
rw [← succ_zero, opow_succ]; simp only [opow_zero, one_mul]
import Mathlib.Algebra.Order.Group.Basic import Mathlib.Algebra.Order.Ring.Abs import Mathlib.Algebra.Order.Ring.Basic import Mathlib.Algebra.Ring.Nat import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.OrderOfElement import Mathlib.RingTheory.Fintype import Mathlib.Tactic.IntervalCases #align_import number_theory.lucas_lehmer from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1" def mersenne (p : ℕ) : ℕ := 2 ^ p - 1 #align mersenne mersenne theorem strictMono_mersenne : StrictMono mersenne := fun m n h ↦ (Nat.sub_lt_sub_iff_right <| Nat.one_le_pow _ _ two_pos).2 <| by gcongr; norm_num1 @[simp] theorem mersenne_lt_mersenne {p q : ℕ} : mersenne p < mersenne q ↔ p < q := strictMono_mersenne.lt_iff_lt @[gcongr] protected alias ⟨_, GCongr.mersenne_lt_mersenne⟩ := mersenne_lt_mersenne @[simp] theorem mersenne_le_mersenne {p q : ℕ} : mersenne p ≤ mersenne q ↔ p ≤ q := strictMono_mersenne.le_iff_le @[gcongr] protected alias ⟨_, GCongr.mersenne_le_mersenne⟩ := mersenne_le_mersenne @[simp] theorem mersenne_zero : mersenne 0 = 0 := rfl @[simp] theorem mersenne_pos {p : ℕ} : 0 < mersenne p ↔ 0 < p := mersenne_lt_mersenne (p := 0) #align mersenne_pos mersenne_pos @[simp] theorem one_lt_mersenne {p : ℕ} : 1 < mersenne p ↔ 1 < p := mersenne_lt_mersenne (p := 1) @[simp] theorem succ_mersenne (k : ℕ) : mersenne k + 1 = 2 ^ k := by rw [mersenne, tsub_add_cancel_of_le] exact one_le_pow_of_one_le (by norm_num) k #align succ_mersenne succ_mersenne namespace LucasLehmer open Nat def s : ℕ → ℤ | 0 => 4 | i + 1 => s i ^ 2 - 2 #align lucas_lehmer.s LucasLehmer.s def sZMod (p : ℕ) : ℕ → ZMod (2 ^ p - 1) | 0 => 4 | i + 1 => sZMod p i ^ 2 - 2 #align lucas_lehmer.s_zmod LucasLehmer.sZMod def sMod (p : ℕ) : ℕ → ℤ | 0 => 4 % (2 ^ p - 1) | i + 1 => (sMod p i ^ 2 - 2) % (2 ^ p - 1) #align lucas_lehmer.s_mod LucasLehmer.sMod theorem mersenne_int_pos {p : ℕ} (hp : p ≠ 0) : (0 : ℤ) < 2 ^ p - 1 := sub_pos.2 <| mod_cast Nat.one_lt_two_pow hp theorem mersenne_int_ne_zero (p : ℕ) (hp : p ≠ 0) : (2 ^ p - 1 : ℤ) ≠ 0 := (mersenne_int_pos hp).ne' #align lucas_lehmer.mersenne_int_ne_zero LucasLehmer.mersenne_int_ne_zero theorem sMod_nonneg (p : ℕ) (hp : p ≠ 0) (i : ℕ) : 0 ≤ sMod p i := by cases i <;> dsimp [sMod] · exact sup_eq_right.mp rfl · apply Int.emod_nonneg exact mersenne_int_ne_zero p hp #align lucas_lehmer.s_mod_nonneg LucasLehmer.sMod_nonneg
Mathlib/NumberTheory/LucasLehmer.lean
145
145
theorem sMod_mod (p i : ℕ) : sMod p i % (2 ^ p - 1) = sMod p i := by
cases i <;> simp [sMod]
import Mathlib.Analysis.Calculus.ContDiff.Basic import Mathlib.Data.Finset.Sym import Mathlib.Data.Nat.Choose.Cast import Mathlib.Data.Nat.Choose.Multinomial #align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe" noncomputable section open scoped Classical NNReal Nat universe u uD uE uF uG open Set Fin Filter Function variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D] [NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF} [NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {s s₁ t u : Set E} theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux {Du Eu Fu Gu : Type u} [NormedAddCommGroup Du] [NormedSpace 𝕜 Du] [NormedAddCommGroup Eu] [NormedSpace 𝕜 Eu] [NormedAddCommGroup Fu] [NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu] (B : Eu →L[𝕜] Fu →L[𝕜] Gu) {f : Du → Eu} {g : Du → Fu} {n : ℕ} {s : Set Du} {x : Du} (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) : ‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by induction' n with n IH generalizing Eu Fu Gu · simp only [Nat.zero_eq, norm_iteratedFDerivWithin_zero, zero_add, Finset.range_one, Finset.sum_singleton, Nat.choose_self, Nat.cast_one, one_mul, Nat.sub_zero, ← mul_assoc] apply B.le_opNorm₂ · have In : (n : ℕ∞) + 1 ≤ n.succ := by simp only [Nat.cast_succ, le_refl] -- Porting note: the next line is a hack allowing Lean to find the operator norm instance. let norm := @ContinuousLinearMap.hasOpNorm _ _ Eu ((Du →L[𝕜] Fu) →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _ (RingHom.id 𝕜) have I1 : ‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 (n + 1 - i) g s x‖ := by calc ‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤ ‖B.precompR Du‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ := IH _ (hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In) _ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ := mul_le_mul_of_nonneg_right (B.norm_precompR_le Du) (by positivity) _ = _ := by congr 1 apply Finset.sum_congr rfl fun i hi => ?_ rw [Nat.succ_sub (Nat.lt_succ_iff.1 (Finset.mem_range.1 hi)), ← norm_iteratedFDerivWithin_fderivWithin hs hx] -- Porting note: the next line is a hack allowing Lean to find the operator norm instance. let norm := @ContinuousLinearMap.hasOpNorm _ _ (Du →L[𝕜] Eu) (Fu →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _ (RingHom.id 𝕜) have I2 : ‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 (i + 1) f s x‖ * ‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := calc ‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤ ‖B.precompL Du‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ * ‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := IH _ (hf.fderivWithin hs In) (hg.of_le (Nat.cast_le.2 (Nat.le_succ n))) _ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ * ‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := mul_le_mul_of_nonneg_right (B.norm_precompL_le Du) (by positivity) _ = _ := by congr 1 apply Finset.sum_congr rfl fun i _ => ?_ rw [← norm_iteratedFDerivWithin_fderivWithin hs hx] have J : iteratedFDerivWithin 𝕜 n (fun y : Du => fderivWithin 𝕜 (fun y : Du => B (f y) (g y)) s y) s x = iteratedFDerivWithin 𝕜 n (fun y => B.precompR Du (f y) (fderivWithin 𝕜 g s y) + B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x := by apply iteratedFDerivWithin_congr (fun y hy => ?_) hx have L : (1 : ℕ∞) ≤ n.succ := by simpa only [ENat.coe_one, Nat.one_le_cast] using Nat.succ_pos n exact B.fderivWithin_of_bilinear (hf.differentiableOn L y hy) (hg.differentiableOn L y hy) (hs y hy) rw [← norm_iteratedFDerivWithin_fderivWithin hs hx, J] have A : ContDiffOn 𝕜 n (fun y => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s := (B.precompR Du).isBoundedBilinearMap.contDiff.comp_contDiff_on₂ (hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In) have A' : ContDiffOn 𝕜 n (fun y => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s := (B.precompL Du).isBoundedBilinearMap.contDiff.comp_contDiff_on₂ (hf.fderivWithin hs In) (hg.of_le (Nat.cast_le.2 (Nat.le_succ n))) rw [iteratedFDerivWithin_add_apply' A A' hs hx] apply (norm_add_le _ _).trans ((add_le_add I1 I2).trans (le_of_eq ?_)) simp_rw [← mul_add, mul_assoc] congr 1 exact (Finset.sum_choose_succ_mul (fun i j => ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 j g s x‖) n).symm #align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear_aux ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux
Mathlib/Analysis/Calculus/ContDiff/Bounds.lean
128
205
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G) {f : D → E} {g : D → F} {N : ℕ∞} {s : Set D} {x : D} (hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ} (hn : (n : ℕ∞) ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
/- We reduce the bound to the case where all spaces live in the same universe (in which we already have proved the result), by using linear isometries between the spaces and their `ULift` to a common universe. These linear isometries preserve the norm of the iterated derivative. -/ let Du : Type max uD uE uF uG := ULift.{max uE uF uG, uD} D let Eu : Type max uD uE uF uG := ULift.{max uD uF uG, uE} E let Fu : Type max uD uE uF uG := ULift.{max uD uE uG, uF} F let Gu : Type max uD uE uF uG := ULift.{max uD uE uF, uG} G have isoD : Du ≃ₗᵢ[𝕜] D := LinearIsometryEquiv.ulift 𝕜 D have isoE : Eu ≃ₗᵢ[𝕜] E := LinearIsometryEquiv.ulift 𝕜 E have isoF : Fu ≃ₗᵢ[𝕜] F := LinearIsometryEquiv.ulift 𝕜 F have isoG : Gu ≃ₗᵢ[𝕜] G := LinearIsometryEquiv.ulift 𝕜 G -- lift `f` and `g` to versions `fu` and `gu` on the lifted spaces. set fu : Du → Eu := isoE.symm ∘ f ∘ isoD with hfu set gu : Du → Fu := isoF.symm ∘ g ∘ isoD with hgu -- lift the bilinear map `B` to a bilinear map `Bu` on the lifted spaces. set Bu₀ : Eu →L[𝕜] Fu →L[𝕜] G := ((B.comp (isoE : Eu →L[𝕜] E)).flip.comp (isoF : Fu →L[𝕜] F)).flip with hBu₀ let Bu : Eu →L[𝕜] Fu →L[𝕜] Gu := ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu) (ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀ have hBu : Bu = ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu) (ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀ := rfl have Bu_eq : (fun y => Bu (fu y) (gu y)) = isoG.symm ∘ (fun y => B (f y) (g y)) ∘ isoD := by ext1 y simp [hBu, hBu₀, hfu, hgu] -- All norms are preserved by the lifting process. have Bu_le : ‖Bu‖ ≤ ‖B‖ := by refine' ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg B) fun y => _ refine' ContinuousLinearMap.opNorm_le_bound _ (by positivity) fun x => _ simp only [hBu, hBu₀, compL_apply, coe_comp', Function.comp_apply, ContinuousLinearEquiv.coe_coe, LinearIsometryEquiv.coe_coe, flip_apply, LinearIsometryEquiv.norm_map] calc ‖B (isoE y) (isoF x)‖ ≤ ‖B (isoE y)‖ * ‖isoF x‖ := ContinuousLinearMap.le_opNorm _ _ _ ≤ ‖B‖ * ‖isoE y‖ * ‖isoF x‖ := by gcongr; apply ContinuousLinearMap.le_opNorm _ = ‖B‖ * ‖y‖ * ‖x‖ := by simp only [LinearIsometryEquiv.norm_map] let su := isoD ⁻¹' s have hsu : UniqueDiffOn 𝕜 su := isoD.toContinuousLinearEquiv.uniqueDiffOn_preimage_iff.2 hs let xu := isoD.symm x have hxu : xu ∈ su := by simpa only [xu, su, Set.mem_preimage, LinearIsometryEquiv.apply_symm_apply] using hx have xu_x : isoD xu = x := by simp only [xu, LinearIsometryEquiv.apply_symm_apply] have hfu : ContDiffOn 𝕜 n fu su := isoE.symm.contDiff.comp_contDiffOn ((hf.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D)) have hgu : ContDiffOn 𝕜 n gu su := isoF.symm.contDiff.comp_contDiffOn ((hg.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D)) have Nfu : ∀ i, ‖iteratedFDerivWithin 𝕜 i fu su xu‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by intro i rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu] rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x] rwa [← xu_x] at hx have Ngu : ∀ i, ‖iteratedFDerivWithin 𝕜 i gu su xu‖ = ‖iteratedFDerivWithin 𝕜 i g s x‖ := by intro i rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu] rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x] rwa [← xu_x] at hx have NBu : ‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ = ‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ := by rw [Bu_eq] rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu] rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x] rwa [← xu_x] at hx -- state the bound for the lifted objects, and deduce the original bound from it. have : ‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ ≤ ‖Bu‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i fu su xu‖ * ‖iteratedFDerivWithin 𝕜 (n - i) gu su xu‖ := Bu.norm_iteratedFDerivWithin_le_of_bilinear_aux hfu hgu hsu hxu simp only [Nfu, Ngu, NBu] at this exact this.trans (mul_le_mul_of_nonneg_right Bu_le (by positivity))
import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.Sym.Sym2 namespace List variable {α : Type*} section Sym2 protected def sym2 : List α → List (Sym2 α) | [] => [] | x :: xs => (x :: xs).map (fun y => s(x, y)) ++ xs.sym2 theorem mem_sym2_cons_iff {x : α} {xs : List α} {z : Sym2 α} : z ∈ (x :: xs).sym2 ↔ z = s(x, x) ∨ (∃ y, y ∈ xs ∧ z = s(x, y)) ∨ z ∈ xs.sym2 := by simp only [List.sym2, map_cons, cons_append, mem_cons, mem_append, mem_map] simp only [eq_comm] @[simp]
Mathlib/Data/List/Sym.lean
46
47
theorem sym2_eq_nil_iff {xs : List α} : xs.sym2 = [] ↔ xs = [] := by
cases xs <;> simp [List.sym2]
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Order.Monoid.Canonical.Defs import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.Basic #align_import data.set.intervals.monoid from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9" namespace Set variable {M : Type*} [OrderedCancelAddCommMonoid M] [ExistsAddOfLE M] (a b c d : M) theorem Ici_add_bij : BijOn (· + d) (Ici a) (Ici (a + d)) := by refine ⟨fun x h => add_le_add_right (mem_Ici.mp h) _, (add_left_injective d).injOn, fun _ h => ?_⟩ obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ici.mp h) rw [mem_Ici, add_right_comm, add_le_add_iff_right] at h exact ⟨a + c, h, by rw [add_right_comm]⟩ #align set.Ici_add_bij Set.Ici_add_bij
Mathlib/Algebra/Order/Interval/Set/Monoid.lean
35
41
theorem Ioi_add_bij : BijOn (· + d) (Ioi a) (Ioi (a + d)) := by
refine ⟨fun x h => add_lt_add_right (mem_Ioi.mp h) _, fun _ _ _ _ h => add_right_cancel h, fun _ h => ?_⟩ obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ioi.mp h).le rw [mem_Ioi, add_right_comm, add_lt_add_iff_right] at h exact ⟨a + c, h, by rw [add_right_comm]⟩
import Mathlib.LinearAlgebra.Finsupp import Mathlib.Algebra.MonoidAlgebra.Support import Mathlib.Algebra.DirectSum.Internal import Mathlib.RingTheory.GradedAlgebra.Basic #align_import algebra.monoid_algebra.grading from "leanprover-community/mathlib"@"feb99064803fd3108e37c18b0f77d0a8344677a3" noncomputable section namespace AddMonoidAlgebra variable {M : Type*} {ι : Type*} {R : Type*} section variable (R) [CommSemiring R] abbrev gradeBy (f : M → ι) (i : ι) : Submodule R R[M] where carrier := { a | ∀ m, m ∈ a.support → f m = i } zero_mem' m h := by cases h add_mem' {a b} ha hb m h := by classical exact (Finset.mem_union.mp (Finsupp.support_add h)).elim (ha m) (hb m) smul_mem' a m h := Set.Subset.trans Finsupp.support_smul h #align add_monoid_algebra.grade_by AddMonoidAlgebra.gradeBy abbrev grade (m : M) : Submodule R R[M] := gradeBy R id m #align add_monoid_algebra.grade AddMonoidAlgebra.grade theorem gradeBy_id : gradeBy R (id : M → M) = grade R := rfl #align add_monoid_algebra.grade_by_id AddMonoidAlgebra.gradeBy_id theorem mem_gradeBy_iff (f : M → ι) (i : ι) (a : R[M]) : a ∈ gradeBy R f i ↔ (a.support : Set M) ⊆ f ⁻¹' {i} := by rfl #align add_monoid_algebra.mem_grade_by_iff AddMonoidAlgebra.mem_gradeBy_iff theorem mem_grade_iff (m : M) (a : R[M]) : a ∈ grade R m ↔ a.support ⊆ {m} := by rw [← Finset.coe_subset, Finset.coe_singleton] rfl #align add_monoid_algebra.mem_grade_iff AddMonoidAlgebra.mem_grade_iff theorem mem_grade_iff' (m : M) (a : R[M]) : a ∈ grade R m ↔ a ∈ (LinearMap.range (Finsupp.lsingle m : R →ₗ[R] M →₀ R) : Submodule R R[M]) := by rw [mem_grade_iff, Finsupp.support_subset_singleton'] apply exists_congr intro r constructor <;> exact Eq.symm #align add_monoid_algebra.mem_grade_iff' AddMonoidAlgebra.mem_grade_iff' theorem grade_eq_lsingle_range (m : M) : grade R m = LinearMap.range (Finsupp.lsingle m : R →ₗ[R] M →₀ R) := Submodule.ext (mem_grade_iff' R m) #align add_monoid_algebra.grade_eq_lsingle_range AddMonoidAlgebra.grade_eq_lsingle_range
Mathlib/Algebra/MonoidAlgebra/Grading.lean
86
89
theorem single_mem_gradeBy {R} [CommSemiring R] (f : M → ι) (m : M) (r : R) : Finsupp.single m r ∈ gradeBy R f (f m) := by
intro x hx rw [Finset.mem_singleton.mp (Finsupp.support_single_subset hx)]
import Mathlib.Order.SuccPred.LinearLocallyFinite import Mathlib.Probability.Martingale.Basic #align_import probability.martingale.optional_sampling from "leanprover-community/mathlib"@"ba074af83b6cf54c3104e59402b39410ddbd6dca" open scoped MeasureTheory ENNReal open TopologicalSpace namespace MeasureTheory namespace Martingale variable {Ω E : Type*} {m : MeasurableSpace Ω} {μ : Measure Ω} [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] section FirstCountableTopology variable {ι : Type*} [LinearOrder ι] [TopologicalSpace ι] [OrderTopology ι] [FirstCountableTopology ι] {ℱ : Filtration ι m} [SigmaFiniteFiltration μ ℱ] {τ σ : Ω → ι} {f : ι → Ω → E} {i n : ι}
Mathlib/Probability/Martingale/OptionalSampling.lean
51
58
theorem condexp_stopping_time_ae_eq_restrict_eq_const [(Filter.atTop : Filter ι).IsCountablyGenerated] (h : Martingale f ℱ μ) (hτ : IsStoppingTime ℱ τ) [SigmaFinite (μ.trim hτ.measurableSpace_le)] (hin : i ≤ n) : μ[f n|hτ.measurableSpace] =ᵐ[μ.restrict {x | τ x = i}] f i := by
refine Filter.EventuallyEq.trans ?_ (ae_restrict_of_ae (h.condexp_ae_eq hin)) refine condexp_ae_eq_restrict_of_measurableSpace_eq_on hτ.measurableSpace_le (ℱ.le i) (hτ.measurableSet_eq' i) fun t => ?_ rw [Set.inter_comm _ t, IsStoppingTime.measurableSet_inter_eq_iff]
import Mathlib.Data.Finsupp.Multiset import Mathlib.Data.Nat.GCD.BigOperators import Mathlib.Data.Nat.PrimeFin import Mathlib.NumberTheory.Padics.PadicVal import Mathlib.Order.Interval.Finset.Nat #align_import data.nat.factorization.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" -- Workaround for lean4#2038 attribute [-instance] instBEqNat open Nat Finset List Finsupp namespace Nat variable {a b m n p : ℕ} def factorization (n : ℕ) : ℕ →₀ ℕ where support := n.primeFactors toFun p := if p.Prime then padicValNat p n else 0 mem_support_toFun := by simp [not_or]; aesop #align nat.factorization Nat.factorization @[simp] lemma support_factorization (n : ℕ) : (factorization n).support = n.primeFactors := rfl theorem factorization_def (n : ℕ) {p : ℕ} (pp : p.Prime) : n.factorization p = padicValNat p n := by simpa [factorization] using absurd pp #align nat.factorization_def Nat.factorization_def @[simp] theorem factors_count_eq {n p : ℕ} : n.factors.count p = n.factorization p := by rcases n.eq_zero_or_pos with (rfl | hn0) · simp [factorization, count] if pp : p.Prime then ?_ else rw [count_eq_zero_of_not_mem (mt prime_of_mem_factors pp)] simp [factorization, pp] simp only [factorization_def _ pp] apply _root_.le_antisymm · rw [le_padicValNat_iff_replicate_subperm_factors pp hn0.ne'] exact List.le_count_iff_replicate_sublist.mp le_rfl |>.subperm · rw [← lt_add_one_iff, lt_iff_not_ge, ge_iff_le, le_padicValNat_iff_replicate_subperm_factors pp hn0.ne'] intro h have := h.count_le p simp at this #align nat.factors_count_eq Nat.factors_count_eq theorem factorization_eq_factors_multiset (n : ℕ) : n.factorization = Multiset.toFinsupp (n.factors : Multiset ℕ) := by ext p simp #align nat.factorization_eq_factors_multiset Nat.factorization_eq_factors_multiset
Mathlib/Data/Nat/Factorization/Basic.lean
90
92
theorem multiplicity_eq_factorization {n p : ℕ} (pp : p.Prime) (hn : n ≠ 0) : multiplicity p n = n.factorization p := by
simp [factorization, pp, padicValNat_def' pp.ne_one hn.bot_lt]
import Mathlib.CategoryTheory.Abelian.Basic import Mathlib.CategoryTheory.Preadditive.Opposite import Mathlib.CategoryTheory.Limits.Opposites #align_import category_theory.abelian.opposite from "leanprover-community/mathlib"@"a5ff45a1c92c278b03b52459a620cfd9c49ebc80" noncomputable section namespace CategoryTheory open CategoryTheory.Limits variable (C : Type*) [Category C] [Abelian C] -- Porting note: these local instances do not seem to be necessary --attribute [local instance] -- hasFiniteLimits_of_hasEqualizers_and_finite_products -- hasFiniteColimits_of_hasCoequalizers_and_finite_coproducts -- Abelian.hasFiniteBiproducts instance : Abelian Cᵒᵖ := by -- Porting note: priorities of `Abelian.has_kernels` and `Abelian.has_cokernels` have -- been set to 90 in `Abelian.Basic` in order to prevent a timeout here exact { normalMonoOfMono := fun f => normalMonoOfNormalEpiUnop _ (normalEpiOfEpi f.unop) normalEpiOfEpi := fun f => normalEpiOfNormalMonoUnop _ (normalMonoOfMono f.unop) } section variable {C} variable {X Y : C} (f : X ⟶ Y) {A B : Cᵒᵖ} (g : A ⟶ B) -- TODO: Generalize (this will work whenever f has a cokernel) -- (The abelian case is probably sufficient for most applications.) @[simps] def kernelOpUnop : (kernel f.op).unop ≅ cokernel f where hom := (kernel.lift f.op (cokernel.π f).op <| by simp [← op_comp]).unop inv := cokernel.desc f (kernel.ι f.op).unop <| by rw [← f.unop_op, ← unop_comp, f.unop_op] simp hom_inv_id := by rw [← unop_id, ← (cokernel.desc f _ _).unop_op, ← unop_comp] congr 1 ext simp [← op_comp] inv_hom_id := by ext simp [← unop_comp] #align category_theory.kernel_op_unop CategoryTheory.kernelOpUnop -- TODO: Generalize (this will work whenever f has a kernel) -- (The abelian case is probably sufficient for most applications.) @[simps] def cokernelOpUnop : (cokernel f.op).unop ≅ kernel f where hom := kernel.lift f (cokernel.π f.op).unop <| by rw [← f.unop_op, ← unop_comp, f.unop_op] simp inv := (cokernel.desc f.op (kernel.ι f).op <| by simp [← op_comp]).unop hom_inv_id := by rw [← unop_id, ← (kernel.lift f _ _).unop_op, ← unop_comp] congr 1 ext simp [← op_comp] inv_hom_id := by ext simp [← unop_comp] #align category_theory.cokernel_op_unop CategoryTheory.cokernelOpUnop @[simps!] def kernelUnopOp : Opposite.op (kernel g.unop) ≅ cokernel g := (cokernelOpUnop g.unop).op #align category_theory.kernel_unop_op CategoryTheory.kernelUnopOp @[simps!] def cokernelUnopOp : Opposite.op (cokernel g.unop) ≅ kernel g := (kernelOpUnop g.unop).op #align category_theory.cokernel_unop_op CategoryTheory.cokernelUnopOp theorem cokernel.π_op : (cokernel.π f.op).unop = (cokernelOpUnop f).hom ≫ kernel.ι f ≫ eqToHom (Opposite.unop_op _).symm := by simp [cokernelOpUnop] #align category_theory.cokernel.π_op CategoryTheory.cokernel.π_op theorem kernel.ι_op : (kernel.ι f.op).unop = eqToHom (Opposite.unop_op _) ≫ cokernel.π f ≫ (kernelOpUnop f).inv := by simp [kernelOpUnop] #align category_theory.kernel.ι_op CategoryTheory.kernel.ι_op @[simps!] def kernelOpOp : kernel f.op ≅ Opposite.op (cokernel f) := (kernelOpUnop f).op.symm #align category_theory.kernel_op_op CategoryTheory.kernelOpOp @[simps!] def cokernelOpOp : cokernel f.op ≅ Opposite.op (kernel f) := (cokernelOpUnop f).op.symm #align category_theory.cokernel_op_op CategoryTheory.cokernelOpOp @[simps!] def kernelUnopUnop : kernel g.unop ≅ (cokernel g).unop := (kernelUnopOp g).unop.symm #align category_theory.kernel_unop_unop CategoryTheory.kernelUnopUnop
Mathlib/CategoryTheory/Abelian/Opposite.lean
124
126
theorem kernel.ι_unop : (kernel.ι g.unop).op = eqToHom (Opposite.op_unop _) ≫ cokernel.π g ≫ (kernelUnopOp g).inv := by
simp
import Mathlib.Algebra.Polynomial.Splits #align_import algebra.cubic_discriminant from "leanprover-community/mathlib"@"930133160e24036d5242039fe4972407cd4f1222" noncomputable section @[ext] structure Cubic (R : Type*) where (a b c d : R) #align cubic Cubic namespace Cubic open Cubic Polynomial open Polynomial variable {R S F K : Type*} instance [Inhabited R] : Inhabited (Cubic R) := ⟨⟨default, default, default, default⟩⟩ instance [Zero R] : Zero (Cubic R) := ⟨⟨0, 0, 0, 0⟩⟩ section Basic variable {P Q : Cubic R} {a b c d a' b' c' d' : R} [Semiring R] def toPoly (P : Cubic R) : R[X] := C P.a * X ^ 3 + C P.b * X ^ 2 + C P.c * X + C P.d #align cubic.to_poly Cubic.toPoly theorem C_mul_prod_X_sub_C_eq [CommRing S] {w x y z : S} : C w * (X - C x) * (X - C y) * (X - C z) = toPoly ⟨w, w * -(x + y + z), w * (x * y + x * z + y * z), w * -(x * y * z)⟩ := by simp only [toPoly, C_neg, C_add, C_mul] ring1 set_option linter.uppercaseLean3 false in #align cubic.C_mul_prod_X_sub_C_eq Cubic.C_mul_prod_X_sub_C_eq theorem prod_X_sub_C_eq [CommRing S] {x y z : S} : (X - C x) * (X - C y) * (X - C z) = toPoly ⟨1, -(x + y + z), x * y + x * z + y * z, -(x * y * z)⟩ := by rw [← one_mul <| X - C x, ← C_1, C_mul_prod_X_sub_C_eq, one_mul, one_mul, one_mul] set_option linter.uppercaseLean3 false in #align cubic.prod_X_sub_C_eq Cubic.prod_X_sub_C_eq section Coeff private theorem coeffs : (∀ n > 3, P.toPoly.coeff n = 0) ∧ P.toPoly.coeff 3 = P.a ∧ P.toPoly.coeff 2 = P.b ∧ P.toPoly.coeff 1 = P.c ∧ P.toPoly.coeff 0 = P.d := by simp only [toPoly, coeff_add, coeff_C, coeff_C_mul_X, coeff_C_mul_X_pow] set_option tactic.skipAssignedInstances false in norm_num intro n hn repeat' rw [if_neg] any_goals linarith only [hn] repeat' rw [zero_add] @[simp] theorem coeff_eq_zero {n : ℕ} (hn : 3 < n) : P.toPoly.coeff n = 0 := coeffs.1 n hn #align cubic.coeff_eq_zero Cubic.coeff_eq_zero @[simp] theorem coeff_eq_a : P.toPoly.coeff 3 = P.a := coeffs.2.1 #align cubic.coeff_eq_a Cubic.coeff_eq_a @[simp] theorem coeff_eq_b : P.toPoly.coeff 2 = P.b := coeffs.2.2.1 #align cubic.coeff_eq_b Cubic.coeff_eq_b @[simp] theorem coeff_eq_c : P.toPoly.coeff 1 = P.c := coeffs.2.2.2.1 #align cubic.coeff_eq_c Cubic.coeff_eq_c @[simp] theorem coeff_eq_d : P.toPoly.coeff 0 = P.d := coeffs.2.2.2.2 #align cubic.coeff_eq_d Cubic.coeff_eq_d theorem a_of_eq (h : P.toPoly = Q.toPoly) : P.a = Q.a := by rw [← coeff_eq_a, h, coeff_eq_a] #align cubic.a_of_eq Cubic.a_of_eq theorem b_of_eq (h : P.toPoly = Q.toPoly) : P.b = Q.b := by rw [← coeff_eq_b, h, coeff_eq_b] #align cubic.b_of_eq Cubic.b_of_eq theorem c_of_eq (h : P.toPoly = Q.toPoly) : P.c = Q.c := by rw [← coeff_eq_c, h, coeff_eq_c] #align cubic.c_of_eq Cubic.c_of_eq theorem d_of_eq (h : P.toPoly = Q.toPoly) : P.d = Q.d := by rw [← coeff_eq_d, h, coeff_eq_d] #align cubic.d_of_eq Cubic.d_of_eq theorem toPoly_injective (P Q : Cubic R) : P.toPoly = Q.toPoly ↔ P = Q := ⟨fun h ↦ Cubic.ext P Q (a_of_eq h) (b_of_eq h) (c_of_eq h) (d_of_eq h), congr_arg toPoly⟩ #align cubic.to_poly_injective Cubic.toPoly_injective theorem of_a_eq_zero (ha : P.a = 0) : P.toPoly = C P.b * X ^ 2 + C P.c * X + C P.d := by rw [toPoly, ha, C_0, zero_mul, zero_add] #align cubic.of_a_eq_zero Cubic.of_a_eq_zero theorem of_a_eq_zero' : toPoly ⟨0, b, c, d⟩ = C b * X ^ 2 + C c * X + C d := of_a_eq_zero rfl #align cubic.of_a_eq_zero' Cubic.of_a_eq_zero' theorem of_b_eq_zero (ha : P.a = 0) (hb : P.b = 0) : P.toPoly = C P.c * X + C P.d := by rw [of_a_eq_zero ha, hb, C_0, zero_mul, zero_add] #align cubic.of_b_eq_zero Cubic.of_b_eq_zero theorem of_b_eq_zero' : toPoly ⟨0, 0, c, d⟩ = C c * X + C d := of_b_eq_zero rfl rfl #align cubic.of_b_eq_zero' Cubic.of_b_eq_zero' theorem of_c_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) : P.toPoly = C P.d := by rw [of_b_eq_zero ha hb, hc, C_0, zero_mul, zero_add] #align cubic.of_c_eq_zero Cubic.of_c_eq_zero theorem of_c_eq_zero' : toPoly ⟨0, 0, 0, d⟩ = C d := of_c_eq_zero rfl rfl rfl #align cubic.of_c_eq_zero' Cubic.of_c_eq_zero' theorem of_d_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) (hd : P.d = 0) : P.toPoly = 0 := by rw [of_c_eq_zero ha hb hc, hd, C_0] #align cubic.of_d_eq_zero Cubic.of_d_eq_zero theorem of_d_eq_zero' : (⟨0, 0, 0, 0⟩ : Cubic R).toPoly = 0 := of_d_eq_zero rfl rfl rfl rfl #align cubic.of_d_eq_zero' Cubic.of_d_eq_zero' theorem zero : (0 : Cubic R).toPoly = 0 := of_d_eq_zero' #align cubic.zero Cubic.zero
Mathlib/Algebra/CubicDiscriminant.lean
174
175
theorem toPoly_eq_zero_iff (P : Cubic R) : P.toPoly = 0 ↔ P = 0 := by
rw [← zero, toPoly_injective]
import Mathlib.Algebra.MonoidAlgebra.Support import Mathlib.Algebra.Polynomial.Basic import Mathlib.Algebra.Regular.Basic import Mathlib.Data.Nat.Choose.Sum #align_import data.polynomial.coeff from "leanprover-community/mathlib"@"2651125b48fc5c170ab1111afd0817c903b1fc6c" set_option linter.uppercaseLean3 false noncomputable section open Finsupp Finset AddMonoidAlgebra open Polynomial namespace Polynomial universe u v variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ} variable [Semiring R] {p q r : R[X]} section Coeff @[simp] theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by rcases p with ⟨⟩ rcases q with ⟨⟩ simp_rw [← ofFinsupp_add, coeff] exact Finsupp.add_apply _ _ _ #align polynomial.coeff_add Polynomial.coeff_add set_option linter.deprecated false in @[simp] theorem coeff_bit0 (p : R[X]) (n : ℕ) : coeff (bit0 p) n = bit0 (coeff p n) := by simp [bit0] #align polynomial.coeff_bit0 Polynomial.coeff_bit0 @[simp] theorem coeff_smul [SMulZeroClass S R] (r : S) (p : R[X]) (n : ℕ) : coeff (r • p) n = r • coeff p n := by rcases p with ⟨⟩ simp_rw [← ofFinsupp_smul, coeff] exact Finsupp.smul_apply _ _ _ #align polynomial.coeff_smul Polynomial.coeff_smul theorem support_smul [SMulZeroClass S R] (r : S) (p : R[X]) : support (r • p) ⊆ support p := by intro i hi simp? [mem_support_iff] at hi ⊢ says simp only [mem_support_iff, coeff_smul, ne_eq] at hi ⊢ contrapose! hi simp [hi] #align polynomial.support_smul Polynomial.support_smul open scoped Pointwise in theorem card_support_mul_le : (p * q).support.card ≤ p.support.card * q.support.card := by calc (p * q).support.card _ = (p.toFinsupp * q.toFinsupp).support.card := by rw [← support_toFinsupp, toFinsupp_mul] _ ≤ (p.toFinsupp.support + q.toFinsupp.support).card := Finset.card_le_card (AddMonoidAlgebra.support_mul p.toFinsupp q.toFinsupp) _ ≤ p.support.card * q.support.card := Finset.card_image₂_le .. @[simps] def lsum {R A M : Type*} [Semiring R] [Semiring A] [AddCommMonoid M] [Module R A] [Module R M] (f : ℕ → A →ₗ[R] M) : A[X] →ₗ[R] M where toFun p := p.sum (f · ·) map_add' p q := sum_add_index p q _ (fun n => (f n).map_zero) fun n _ _ => (f n).map_add _ _ map_smul' c p := by -- Porting note: added `dsimp only`; `beta_reduce` alone is not sufficient dsimp only rw [sum_eq_of_subset (f · ·) (fun n => (f n).map_zero) (support_smul c p)] simp only [sum_def, Finset.smul_sum, coeff_smul, LinearMap.map_smul, RingHom.id_apply] #align polynomial.lsum Polynomial.lsum #align polynomial.lsum_apply Polynomial.lsum_apply variable (R) def lcoeff (n : ℕ) : R[X] →ₗ[R] R where toFun p := coeff p n map_add' p q := coeff_add p q n map_smul' r p := coeff_smul r p n #align polynomial.lcoeff Polynomial.lcoeff variable {R} @[simp] theorem lcoeff_apply (n : ℕ) (f : R[X]) : lcoeff R n f = coeff f n := rfl #align polynomial.lcoeff_apply Polynomial.lcoeff_apply @[simp] theorem finset_sum_coeff {ι : Type*} (s : Finset ι) (f : ι → R[X]) (n : ℕ) : coeff (∑ b ∈ s, f b) n = ∑ b ∈ s, coeff (f b) n := map_sum (lcoeff R n) _ _ #align polynomial.finset_sum_coeff Polynomial.finset_sum_coeff lemma coeff_list_sum (l : List R[X]) (n : ℕ) : l.sum.coeff n = (l.map (lcoeff R n)).sum := map_list_sum (lcoeff R n) _ lemma coeff_list_sum_map {ι : Type*} (l : List ι) (f : ι → R[X]) (n : ℕ) : (l.map f).sum.coeff n = (l.map (fun a => (f a).coeff n)).sum := by simp_rw [coeff_list_sum, List.map_map, Function.comp, lcoeff_apply] theorem coeff_sum [Semiring S] (n : ℕ) (f : ℕ → R → S[X]) : coeff (p.sum f) n = p.sum fun a b => coeff (f a b) n := by rcases p with ⟨⟩ -- porting note (#10745): was `simp [Polynomial.sum, support, coeff]`. simp [Polynomial.sum, support_ofFinsupp, coeff_ofFinsupp] #align polynomial.coeff_sum Polynomial.coeff_sum theorem coeff_mul (p q : R[X]) (n : ℕ) : coeff (p * q) n = ∑ x ∈ antidiagonal n, coeff p x.1 * coeff q x.2 := by rcases p with ⟨p⟩; rcases q with ⟨q⟩ simp_rw [← ofFinsupp_mul, coeff] exact AddMonoidAlgebra.mul_apply_antidiagonal p q n _ Finset.mem_antidiagonal #align polynomial.coeff_mul Polynomial.coeff_mul @[simp] theorem mul_coeff_zero (p q : R[X]) : coeff (p * q) 0 = coeff p 0 * coeff q 0 := by simp [coeff_mul] #align polynomial.mul_coeff_zero Polynomial.mul_coeff_zero @[simps] def constantCoeff : R[X] →+* R where toFun p := coeff p 0 map_one' := coeff_one_zero map_mul' := mul_coeff_zero map_zero' := coeff_zero 0 map_add' p q := coeff_add p q 0 #align polynomial.constant_coeff Polynomial.constantCoeff #align polynomial.constant_coeff_apply Polynomial.constantCoeff_apply theorem isUnit_C {x : R} : IsUnit (C x) ↔ IsUnit x := ⟨fun h => (congr_arg IsUnit coeff_C_zero).mp (h.map <| @constantCoeff R _), fun h => h.map C⟩ #align polynomial.is_unit_C Polynomial.isUnit_C theorem coeff_mul_X_zero (p : R[X]) : coeff (p * X) 0 = 0 := by simp #align polynomial.coeff_mul_X_zero Polynomial.coeff_mul_X_zero theorem coeff_X_mul_zero (p : R[X]) : coeff (X * p) 0 = 0 := by simp #align polynomial.coeff_X_mul_zero Polynomial.coeff_X_mul_zero theorem coeff_C_mul_X_pow (x : R) (k n : ℕ) : coeff (C x * X ^ k : R[X]) n = if n = k then x else 0 := by rw [C_mul_X_pow_eq_monomial, coeff_monomial] congr 1 simp [eq_comm] #align polynomial.coeff_C_mul_X_pow Polynomial.coeff_C_mul_X_pow theorem coeff_C_mul_X (x : R) (n : ℕ) : coeff (C x * X : R[X]) n = if n = 1 then x else 0 := by rw [← pow_one X, coeff_C_mul_X_pow] #align polynomial.coeff_C_mul_X Polynomial.coeff_C_mul_X @[simp] theorem coeff_C_mul (p : R[X]) : coeff (C a * p) n = a * coeff p n := by rcases p with ⟨p⟩ simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff] exact AddMonoidAlgebra.single_zero_mul_apply p a n #align polynomial.coeff_C_mul Polynomial.coeff_C_mul theorem C_mul' (a : R) (f : R[X]) : C a * f = a • f := by ext rw [coeff_C_mul, coeff_smul, smul_eq_mul] #align polynomial.C_mul' Polynomial.C_mul' @[simp] theorem coeff_mul_C (p : R[X]) (n : ℕ) (a : R) : coeff (p * C a) n = coeff p n * a := by rcases p with ⟨p⟩ simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff] exact AddMonoidAlgebra.mul_single_zero_apply p a n #align polynomial.coeff_mul_C Polynomial.coeff_mul_C @[simp] lemma coeff_mul_natCast {a k : ℕ} : coeff (p * (a : R[X])) k = coeff p k * (↑a : R) := coeff_mul_C _ _ _ @[simp] lemma coeff_natCast_mul {a k : ℕ} : coeff ((a : R[X]) * p) k = a * coeff p k := coeff_C_mul _ -- See note [no_index around OfNat.ofNat] @[simp] lemma coeff_mul_ofNat {a k : ℕ} [Nat.AtLeastTwo a] : coeff (p * (no_index (OfNat.ofNat a) : R[X])) k = coeff p k * OfNat.ofNat a := coeff_mul_C _ _ _ -- See note [no_index around OfNat.ofNat] @[simp] lemma coeff_ofNat_mul {a k : ℕ} [Nat.AtLeastTwo a] : coeff ((no_index (OfNat.ofNat a) : R[X]) * p) k = OfNat.ofNat a * coeff p k := coeff_C_mul _ @[simp] lemma coeff_mul_intCast [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} : coeff (p * (a : S[X])) k = coeff p k * (↑a : S) := coeff_mul_C _ _ _ @[simp] lemma coeff_intCast_mul [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} : coeff ((a : S[X]) * p) k = a * coeff p k := coeff_C_mul _ @[simp] theorem coeff_X_pow (k n : ℕ) : coeff (X ^ k : R[X]) n = if n = k then 1 else 0 := by simp only [one_mul, RingHom.map_one, ← coeff_C_mul_X_pow] #align polynomial.coeff_X_pow Polynomial.coeff_X_pow theorem coeff_X_pow_self (n : ℕ) : coeff (X ^ n : R[X]) n = 1 := by simp #align polynomial.coeff_X_pow_self Polynomial.coeff_X_pow_self section Fewnomials open Finset theorem support_binomial {k m : ℕ} (hkm : k ≠ m) {x y : R} (hx : x ≠ 0) (hy : y ≠ 0) : support (C x * X ^ k + C y * X ^ m) = {k, m} := by apply subset_antisymm (support_binomial' k m x y) simp_rw [insert_subset_iff, singleton_subset_iff, mem_support_iff, coeff_add, coeff_C_mul, coeff_X_pow_self, mul_one, coeff_X_pow, if_neg hkm, if_neg hkm.symm, mul_zero, zero_add, add_zero, Ne, hx, hy, not_false_eq_true, and_true] #align polynomial.support_binomial Polynomial.support_binomial theorem support_trinomial {k m n : ℕ} (hkm : k < m) (hmn : m < n) {x y z : R} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) : support (C x * X ^ k + C y * X ^ m + C z * X ^ n) = {k, m, n} := by apply subset_antisymm (support_trinomial' k m n x y z) simp_rw [insert_subset_iff, singleton_subset_iff, mem_support_iff, coeff_add, coeff_C_mul, coeff_X_pow_self, mul_one, coeff_X_pow, if_neg hkm.ne, if_neg hkm.ne', if_neg hmn.ne, if_neg hmn.ne', if_neg (hkm.trans hmn).ne, if_neg (hkm.trans hmn).ne', mul_zero, add_zero, zero_add, Ne, hx, hy, hz, not_false_eq_true, and_true] #align polynomial.support_trinomial Polynomial.support_trinomial theorem card_support_binomial {k m : ℕ} (h : k ≠ m) {x y : R} (hx : x ≠ 0) (hy : y ≠ 0) : card (support (C x * X ^ k + C y * X ^ m)) = 2 := by rw [support_binomial h hx hy, card_insert_of_not_mem (mt mem_singleton.mp h), card_singleton] #align polynomial.card_support_binomial Polynomial.card_support_binomial
Mathlib/Algebra/Polynomial/Coeff.lean
248
253
theorem card_support_trinomial {k m n : ℕ} (hkm : k < m) (hmn : m < n) {x y z : R} (hx : x ≠ 0) (hy : y ≠ 0) (hz : z ≠ 0) : card (support (C x * X ^ k + C y * X ^ m + C z * X ^ n)) = 3 := by
rw [support_trinomial hkm hmn hx hy hz, card_insert_of_not_mem (mt mem_insert.mp (not_or_of_not hkm.ne (mt mem_singleton.mp (hkm.trans hmn).ne))), card_insert_of_not_mem (mt mem_singleton.mp hmn.ne), card_singleton]
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 theorem singleton_mem_nhds_of_ne_zero (h : γ ≠ 0) : ({γ} : Set Γ₀) ∈ 𝓝 (γ : Γ₀) := by simp [h] #align with_zero_topology.singleton_mem_nhds_of_ne_zero WithZeroTopology.singleton_mem_nhds_of_ne_zero
Mathlib/Topology/Algebra/WithZeroTopology.lean
109
112
theorem hasBasis_nhds_of_ne_zero {x : Γ₀} (h : x ≠ 0) : HasBasis (𝓝 x) (fun _ : Unit => True) fun _ => {x} := by
rw [nhds_of_ne_zero h] exact hasBasis_pure _
import Mathlib.MeasureTheory.Function.ConvergenceInMeasure import Mathlib.MeasureTheory.Function.L1Space #align_import measure_theory.function.uniform_integrable from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2" noncomputable section open scoped Classical MeasureTheory NNReal ENNReal Topology namespace MeasureTheory open Set Filter TopologicalSpace variable {α β ι : Type*} {m : MeasurableSpace α} {μ : Measure α} [NormedAddCommGroup β] def UnifIntegrable {_ : MeasurableSpace α} (f : ι → α → β) (p : ℝ≥0∞) (μ : Measure α) : Prop := ∀ ⦃ε : ℝ⦄ (_ : 0 < ε), ∃ (δ : ℝ) (_ : 0 < δ), ∀ i s, MeasurableSet s → μ s ≤ ENNReal.ofReal δ → snorm (s.indicator (f i)) p μ ≤ ENNReal.ofReal ε #align measure_theory.unif_integrable MeasureTheory.UnifIntegrable def UniformIntegrable {_ : MeasurableSpace α} (f : ι → α → β) (p : ℝ≥0∞) (μ : Measure α) : Prop := (∀ i, AEStronglyMeasurable (f i) μ) ∧ UnifIntegrable f p μ ∧ ∃ C : ℝ≥0, ∀ i, snorm (f i) p μ ≤ C #align measure_theory.uniform_integrable MeasureTheory.UniformIntegrable namespace UniformIntegrable protected theorem aeStronglyMeasurable {f : ι → α → β} {p : ℝ≥0∞} (hf : UniformIntegrable f p μ) (i : ι) : AEStronglyMeasurable (f i) μ := hf.1 i #align measure_theory.uniform_integrable.ae_strongly_measurable MeasureTheory.UniformIntegrable.aeStronglyMeasurable protected theorem unifIntegrable {f : ι → α → β} {p : ℝ≥0∞} (hf : UniformIntegrable f p μ) : UnifIntegrable f p μ := hf.2.1 #align measure_theory.uniform_integrable.unif_integrable MeasureTheory.UniformIntegrable.unifIntegrable protected theorem memℒp {f : ι → α → β} {p : ℝ≥0∞} (hf : UniformIntegrable f p μ) (i : ι) : Memℒp (f i) p μ := ⟨hf.1 i, let ⟨_, _, hC⟩ := hf.2 lt_of_le_of_lt (hC i) ENNReal.coe_lt_top⟩ #align measure_theory.uniform_integrable.mem_ℒp MeasureTheory.UniformIntegrable.memℒp end UniformIntegrable section UnifIntegrable namespace UnifIntegrable variable {f g : ι → α → β} {p : ℝ≥0∞} protected theorem add (hf : UnifIntegrable f p μ) (hg : UnifIntegrable g p μ) (hp : 1 ≤ p) (hf_meas : ∀ i, AEStronglyMeasurable (f i) μ) (hg_meas : ∀ i, AEStronglyMeasurable (g i) μ) : UnifIntegrable (f + g) p μ := by intro ε hε have hε2 : 0 < ε / 2 := half_pos hε obtain ⟨δ₁, hδ₁_pos, hfδ₁⟩ := hf hε2 obtain ⟨δ₂, hδ₂_pos, hgδ₂⟩ := hg hε2 refine ⟨min δ₁ δ₂, lt_min hδ₁_pos hδ₂_pos, fun i s hs hμs => ?_⟩ simp_rw [Pi.add_apply, Set.indicator_add'] refine (snorm_add_le ((hf_meas i).indicator hs) ((hg_meas i).indicator hs) hp).trans ?_ have hε_halves : ENNReal.ofReal ε = ENNReal.ofReal (ε / 2) + ENNReal.ofReal (ε / 2) := by rw [← ENNReal.ofReal_add hε2.le hε2.le, add_halves] rw [hε_halves] exact add_le_add (hfδ₁ i s hs (hμs.trans (ENNReal.ofReal_le_ofReal (min_le_left _ _)))) (hgδ₂ i s hs (hμs.trans (ENNReal.ofReal_le_ofReal (min_le_right _ _)))) #align measure_theory.unif_integrable.add MeasureTheory.UnifIntegrable.add protected theorem neg (hf : UnifIntegrable f p μ) : UnifIntegrable (-f) p μ := by simp_rw [UnifIntegrable, Pi.neg_apply, Set.indicator_neg', snorm_neg] exact hf #align measure_theory.unif_integrable.neg MeasureTheory.UnifIntegrable.neg protected theorem sub (hf : UnifIntegrable f p μ) (hg : UnifIntegrable g p μ) (hp : 1 ≤ p) (hf_meas : ∀ i, AEStronglyMeasurable (f i) μ) (hg_meas : ∀ i, AEStronglyMeasurable (g i) μ) : UnifIntegrable (f - g) p μ := by rw [sub_eq_add_neg] exact hf.add hg.neg hp hf_meas fun i => (hg_meas i).neg #align measure_theory.unif_integrable.sub MeasureTheory.UnifIntegrable.sub protected theorem ae_eq (hf : UnifIntegrable f p μ) (hfg : ∀ n, f n =ᵐ[μ] g n) : UnifIntegrable g p μ := by intro ε hε obtain ⟨δ, hδ_pos, hfδ⟩ := hf hε refine ⟨δ, hδ_pos, fun n s hs hμs => (le_of_eq <| snorm_congr_ae ?_).trans (hfδ n s hs hμs)⟩ filter_upwards [hfg n] with x hx simp_rw [Set.indicator_apply, hx] #align measure_theory.unif_integrable.ae_eq MeasureTheory.UnifIntegrable.ae_eq end UnifIntegrable theorem unifIntegrable_zero_meas [MeasurableSpace α] {p : ℝ≥0∞} {f : ι → α → β} : UnifIntegrable f p (0 : Measure α) := fun ε _ => ⟨1, one_pos, fun i s _ _ => by simp⟩ #align measure_theory.unif_integrable_zero_meas MeasureTheory.unifIntegrable_zero_meas theorem unifIntegrable_congr_ae {p : ℝ≥0∞} {f g : ι → α → β} (hfg : ∀ n, f n =ᵐ[μ] g n) : UnifIntegrable f p μ ↔ UnifIntegrable g p μ := ⟨fun hf => hf.ae_eq hfg, fun hg => hg.ae_eq fun n => (hfg n).symm⟩ #align measure_theory.unif_integrable_congr_ae MeasureTheory.unifIntegrable_congr_ae theorem tendsto_indicator_ge (f : α → β) (x : α) : Tendsto (fun M : ℕ => { x | (M : ℝ) ≤ ‖f x‖₊ }.indicator f x) atTop (𝓝 0) := by refine tendsto_atTop_of_eventually_const (i₀ := Nat.ceil (‖f x‖₊ : ℝ) + 1) fun n hn => ?_ rw [Set.indicator_of_not_mem] simp only [not_le, Set.mem_setOf_eq] refine lt_of_le_of_lt (Nat.le_ceil _) ?_ refine lt_of_lt_of_le (lt_add_one _) ?_ norm_cast #align measure_theory.tendsto_indicator_ge MeasureTheory.tendsto_indicator_ge variable {p : ℝ≥0∞} section variable {f : α → β} theorem Memℒp.integral_indicator_norm_ge_le (hf : Memℒp f 1 μ) (hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) : ∃ M : ℝ, (∫⁻ x, ‖{ x | M ≤ ‖f x‖₊ }.indicator f x‖₊ ∂μ) ≤ ENNReal.ofReal ε := by have htendsto : ∀ᵐ x ∂μ, Tendsto (fun M : ℕ => { x | (M : ℝ) ≤ ‖f x‖₊ }.indicator f x) atTop (𝓝 0) := univ_mem' (id fun x => tendsto_indicator_ge f x) have hmeas : ∀ M : ℕ, AEStronglyMeasurable ({ x | (M : ℝ) ≤ ‖f x‖₊ }.indicator f) μ := by intro M apply hf.1.indicator apply StronglyMeasurable.measurableSet_le stronglyMeasurable_const hmeas.nnnorm.measurable.coe_nnreal_real.stronglyMeasurable have hbound : HasFiniteIntegral (fun x => ‖f x‖) μ := by rw [memℒp_one_iff_integrable] at hf exact hf.norm.2 have : Tendsto (fun n : ℕ ↦ ∫⁻ a, ENNReal.ofReal ‖{ x | n ≤ ‖f x‖₊ }.indicator f a - 0‖ ∂μ) atTop (𝓝 0) := by refine tendsto_lintegral_norm_of_dominated_convergence hmeas hbound ?_ htendsto refine fun n => univ_mem' (id fun x => ?_) by_cases hx : (n : ℝ) ≤ ‖f x‖ · dsimp rwa [Set.indicator_of_mem] · dsimp rw [Set.indicator_of_not_mem, norm_zero] · exact norm_nonneg _ · assumption rw [ENNReal.tendsto_atTop_zero] at this obtain ⟨M, hM⟩ := this (ENNReal.ofReal ε) (ENNReal.ofReal_pos.2 hε) simp only [true_and_iff, ge_iff_le, zero_tsub, zero_le, sub_zero, zero_add, coe_nnnorm, Set.mem_Icc] at hM refine ⟨M, ?_⟩ convert hM M le_rfl simp only [coe_nnnorm, ENNReal.ofReal_eq_coe_nnreal (norm_nonneg _)] rfl #align measure_theory.mem_ℒp.integral_indicator_norm_ge_le MeasureTheory.Memℒp.integral_indicator_norm_ge_le theorem Memℒp.integral_indicator_norm_ge_nonneg_le_of_meas (hf : Memℒp f 1 μ) (hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) : ∃ M : ℝ, 0 ≤ M ∧ (∫⁻ x, ‖{ x | M ≤ ‖f x‖₊ }.indicator f x‖₊ ∂μ) ≤ ENNReal.ofReal ε := let ⟨M, hM⟩ := hf.integral_indicator_norm_ge_le hmeas hε ⟨max M 0, le_max_right _ _, by simpa⟩ #align measure_theory.mem_ℒp.integral_indicator_norm_ge_nonneg_le_of_meas MeasureTheory.Memℒp.integral_indicator_norm_ge_nonneg_le_of_meas theorem Memℒp.integral_indicator_norm_ge_nonneg_le (hf : Memℒp f 1 μ) {ε : ℝ} (hε : 0 < ε) : ∃ M : ℝ, 0 ≤ M ∧ (∫⁻ x, ‖{ x | M ≤ ‖f x‖₊ }.indicator f x‖₊ ∂μ) ≤ ENNReal.ofReal ε := by have hf_mk : Memℒp (hf.1.mk f) 1 μ := (memℒp_congr_ae hf.1.ae_eq_mk).mp hf obtain ⟨M, hM_pos, hfM⟩ := hf_mk.integral_indicator_norm_ge_nonneg_le_of_meas hf.1.stronglyMeasurable_mk hε refine ⟨M, hM_pos, (le_of_eq ?_).trans hfM⟩ refine lintegral_congr_ae ?_ filter_upwards [hf.1.ae_eq_mk] with x hx simp only [Set.indicator_apply, coe_nnnorm, Set.mem_setOf_eq, ENNReal.coe_inj, hx.symm] #align measure_theory.mem_ℒp.integral_indicator_norm_ge_nonneg_le MeasureTheory.Memℒp.integral_indicator_norm_ge_nonneg_le theorem Memℒp.snormEssSup_indicator_norm_ge_eq_zero (hf : Memℒp f ∞ μ) (hmeas : StronglyMeasurable f) : ∃ M : ℝ, snormEssSup ({ x | M ≤ ‖f x‖₊ }.indicator f) μ = 0 := by have hbdd : snormEssSup f μ < ∞ := hf.snorm_lt_top refine ⟨(snorm f ∞ μ + 1).toReal, ?_⟩ rw [snormEssSup_indicator_eq_snormEssSup_restrict] · have : μ.restrict { x : α | (snorm f ⊤ μ + 1).toReal ≤ ‖f x‖₊ } = 0 := by simp only [coe_nnnorm, snorm_exponent_top, Measure.restrict_eq_zero] have : { x : α | (snormEssSup f μ + 1).toReal ≤ ‖f x‖ } ⊆ { x : α | snormEssSup f μ < ‖f x‖₊ } := by intro x hx rw [Set.mem_setOf_eq, ← ENNReal.toReal_lt_toReal hbdd.ne ENNReal.coe_lt_top.ne, ENNReal.coe_toReal, coe_nnnorm] refine lt_of_lt_of_le ?_ hx rw [ENNReal.toReal_lt_toReal hbdd.ne] · exact ENNReal.lt_add_right hbdd.ne one_ne_zero · exact (ENNReal.add_lt_top.2 ⟨hbdd, ENNReal.one_lt_top⟩).ne rw [← nonpos_iff_eq_zero] refine (measure_mono this).trans ?_ have hle := coe_nnnorm_ae_le_snormEssSup f μ simp_rw [ae_iff, not_le] at hle exact nonpos_iff_eq_zero.2 hle rw [this, snormEssSup_measure_zero] exact measurableSet_le measurable_const hmeas.nnnorm.measurable.subtype_coe #align measure_theory.mem_ℒp.snorm_ess_sup_indicator_norm_ge_eq_zero MeasureTheory.Memℒp.snormEssSup_indicator_norm_ge_eq_zero theorem Memℒp.snorm_indicator_norm_ge_le (hf : Memℒp f p μ) (hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) : ∃ M : ℝ, snorm ({ x | M ≤ ‖f x‖₊ }.indicator f) p μ ≤ ENNReal.ofReal ε := by by_cases hp_ne_zero : p = 0 · refine ⟨1, hp_ne_zero.symm ▸ ?_⟩ simp [snorm_exponent_zero] by_cases hp_ne_top : p = ∞ · subst hp_ne_top obtain ⟨M, hM⟩ := hf.snormEssSup_indicator_norm_ge_eq_zero hmeas refine ⟨M, ?_⟩ simp only [snorm_exponent_top, hM, zero_le] obtain ⟨M, hM', hM⟩ := Memℒp.integral_indicator_norm_ge_nonneg_le (μ := μ) (hf.norm_rpow hp_ne_zero hp_ne_top) (Real.rpow_pos_of_pos hε p.toReal) refine ⟨M ^ (1 / p.toReal), ?_⟩ rw [snorm_eq_lintegral_rpow_nnnorm hp_ne_zero hp_ne_top, ← ENNReal.rpow_one (ENNReal.ofReal ε)] conv_rhs => rw [← mul_one_div_cancel (ENNReal.toReal_pos hp_ne_zero hp_ne_top).ne.symm] rw [ENNReal.rpow_mul, ENNReal.rpow_le_rpow_iff (one_div_pos.2 <| ENNReal.toReal_pos hp_ne_zero hp_ne_top), ENNReal.ofReal_rpow_of_pos hε] convert hM rename_i x rw [ENNReal.coe_rpow_of_nonneg _ ENNReal.toReal_nonneg, nnnorm_indicator_eq_indicator_nnnorm, nnnorm_indicator_eq_indicator_nnnorm] have hiff : M ^ (1 / p.toReal) ≤ ‖f x‖₊ ↔ M ≤ ‖‖f x‖ ^ p.toReal‖₊ := by rw [coe_nnnorm, coe_nnnorm, Real.norm_rpow_of_nonneg (norm_nonneg _), norm_norm, ← Real.rpow_le_rpow_iff hM' (Real.rpow_nonneg (norm_nonneg _) _) (one_div_pos.2 <| ENNReal.toReal_pos hp_ne_zero hp_ne_top), ← Real.rpow_mul (norm_nonneg _), mul_one_div_cancel (ENNReal.toReal_pos hp_ne_zero hp_ne_top).ne.symm, Real.rpow_one] by_cases hx : x ∈ { x : α | M ^ (1 / p.toReal) ≤ ‖f x‖₊ } · rw [Set.indicator_of_mem hx, Set.indicator_of_mem, Real.nnnorm_of_nonneg] · rfl rw [Set.mem_setOf_eq] rwa [← hiff] · rw [Set.indicator_of_not_mem hx, Set.indicator_of_not_mem] · simp [(ENNReal.toReal_pos hp_ne_zero hp_ne_top).ne.symm] · rw [Set.mem_setOf_eq] rwa [← hiff] #align measure_theory.mem_ℒp.snorm_indicator_norm_ge_le MeasureTheory.Memℒp.snorm_indicator_norm_ge_le theorem Memℒp.snorm_indicator_norm_ge_pos_le (hf : Memℒp f p μ) (hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) : ∃ M : ℝ, 0 < M ∧ snorm ({ x | M ≤ ‖f x‖₊ }.indicator f) p μ ≤ ENNReal.ofReal ε := by obtain ⟨M, hM⟩ := hf.snorm_indicator_norm_ge_le hmeas hε refine ⟨max M 1, lt_of_lt_of_le zero_lt_one (le_max_right _ _), le_trans (snorm_mono fun x => ?_) hM⟩ rw [norm_indicator_eq_indicator_norm, norm_indicator_eq_indicator_norm] refine Set.indicator_le_indicator_of_subset (fun x hx => ?_) (fun x => norm_nonneg (f x)) x rw [Set.mem_setOf_eq] at hx -- removing the `rw` breaks the proof! exact (max_le_iff.1 hx).1 #align measure_theory.mem_ℒp.snorm_indicator_norm_ge_pos_le MeasureTheory.Memℒp.snorm_indicator_norm_ge_pos_le end theorem snorm_indicator_le_of_bound {f : α → β} (hp_top : p ≠ ∞) {ε : ℝ} (hε : 0 < ε) {M : ℝ} (hf : ∀ x, ‖f x‖ < M) : ∃ (δ : ℝ) (hδ : 0 < δ), ∀ s, MeasurableSet s → μ s ≤ ENNReal.ofReal δ → snorm (s.indicator f) p μ ≤ ENNReal.ofReal ε := by by_cases hM : M ≤ 0 · refine ⟨1, zero_lt_one, fun s _ _ => ?_⟩ rw [(_ : f = 0)] · simp [hε.le] · ext x rw [Pi.zero_apply, ← norm_le_zero_iff] exact (lt_of_lt_of_le (hf x) hM).le rw [not_le] at hM refine ⟨(ε / M) ^ p.toReal, Real.rpow_pos_of_pos (div_pos hε hM) _, fun s hs hμ => ?_⟩ by_cases hp : p = 0 · simp [hp] rw [snorm_indicator_eq_snorm_restrict hs] have haebdd : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ M := by filter_upwards exact fun x => (hf x).le refine le_trans (snorm_le_of_ae_bound haebdd) ?_ rw [Measure.restrict_apply MeasurableSet.univ, Set.univ_inter, ← ENNReal.le_div_iff_mul_le (Or.inl _) (Or.inl ENNReal.ofReal_ne_top)] · rw [← one_div, ENNReal.rpow_one_div_le_iff (ENNReal.toReal_pos hp hp_top)] refine le_trans hμ ?_ rw [← ENNReal.ofReal_rpow_of_pos (div_pos hε hM), ENNReal.rpow_le_rpow_iff (ENNReal.toReal_pos hp hp_top), ENNReal.ofReal_div_of_pos hM] · simpa only [ENNReal.ofReal_eq_zero, not_le, Ne] #align measure_theory.snorm_indicator_le_of_bound MeasureTheory.snorm_indicator_le_of_bound section variable {f : α → β} theorem Memℒp.snorm_indicator_le' (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) (hf : Memℒp f p μ) (hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) : ∃ (δ : ℝ) (hδ : 0 < δ), ∀ s, MeasurableSet s → μ s ≤ ENNReal.ofReal δ → snorm (s.indicator f) p μ ≤ 2 * ENNReal.ofReal ε := by obtain ⟨M, hMpos, hM⟩ := hf.snorm_indicator_norm_ge_pos_le hmeas hε obtain ⟨δ, hδpos, hδ⟩ := snorm_indicator_le_of_bound (f := { x | ‖f x‖ < M }.indicator f) hp_top hε (by intro x rw [norm_indicator_eq_indicator_norm, Set.indicator_apply] · split_ifs with h exacts [h, hMpos]) refine ⟨δ, hδpos, fun s hs hμs => ?_⟩ rw [(_ : f = { x : α | M ≤ ‖f x‖₊ }.indicator f + { x : α | ‖f x‖ < M }.indicator f)] · rw [snorm_indicator_eq_snorm_restrict hs] refine le_trans (snorm_add_le ?_ ?_ hp_one) ?_ · exact StronglyMeasurable.aestronglyMeasurable (hmeas.indicator (measurableSet_le measurable_const hmeas.nnnorm.measurable.subtype_coe)) · exact StronglyMeasurable.aestronglyMeasurable (hmeas.indicator (measurableSet_lt hmeas.nnnorm.measurable.subtype_coe measurable_const)) · rw [two_mul] refine add_le_add (le_trans (snorm_mono_measure _ Measure.restrict_le_self) hM) ?_ rw [← snorm_indicator_eq_snorm_restrict hs] exact hδ s hs hμs · ext x by_cases hx : M ≤ ‖f x‖ · rw [Pi.add_apply, Set.indicator_of_mem, Set.indicator_of_not_mem, add_zero] <;> simpa · rw [Pi.add_apply, Set.indicator_of_not_mem, Set.indicator_of_mem, zero_add] <;> simpa using hx #align measure_theory.mem_ℒp.snorm_indicator_le' MeasureTheory.Memℒp.snorm_indicator_le' theorem Memℒp.snorm_indicator_le_of_meas (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) (hf : Memℒp f p μ) (hmeas : StronglyMeasurable f) {ε : ℝ} (hε : 0 < ε) : ∃ (δ : ℝ) (hδ : 0 < δ), ∀ s, MeasurableSet s → μ s ≤ ENNReal.ofReal δ → snorm (s.indicator f) p μ ≤ ENNReal.ofReal ε := by obtain ⟨δ, hδpos, hδ⟩ := hf.snorm_indicator_le' hp_one hp_top hmeas (half_pos hε) refine ⟨δ, hδpos, fun s hs hμs => le_trans (hδ s hs hμs) ?_⟩ rw [ENNReal.ofReal_div_of_pos zero_lt_two, (by norm_num : ENNReal.ofReal 2 = 2), ENNReal.mul_div_cancel'] <;> norm_num #align measure_theory.mem_ℒp.snorm_indicator_le_of_meas MeasureTheory.Memℒp.snorm_indicator_le_of_meas theorem Memℒp.snorm_indicator_le (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) (hf : Memℒp f p μ) {ε : ℝ} (hε : 0 < ε) : ∃ (δ : ℝ) (hδ : 0 < δ), ∀ s, MeasurableSet s → μ s ≤ ENNReal.ofReal δ → snorm (s.indicator f) p μ ≤ ENNReal.ofReal ε := by have hℒp := hf obtain ⟨⟨f', hf', heq⟩, _⟩ := hf obtain ⟨δ, hδpos, hδ⟩ := (hℒp.ae_eq heq).snorm_indicator_le_of_meas hp_one hp_top hf' hε refine ⟨δ, hδpos, fun s hs hμs => ?_⟩ convert hδ s hs hμs using 1 rw [snorm_indicator_eq_snorm_restrict hs, snorm_indicator_eq_snorm_restrict hs] exact snorm_congr_ae heq.restrict #align measure_theory.mem_ℒp.snorm_indicator_le MeasureTheory.Memℒp.snorm_indicator_le theorem unifIntegrable_const {g : α → β} (hp : 1 ≤ p) (hp_ne_top : p ≠ ∞) (hg : Memℒp g p μ) : UnifIntegrable (fun _ : ι => g) p μ := by intro ε hε obtain ⟨δ, hδ_pos, hgδ⟩ := hg.snorm_indicator_le hp hp_ne_top hε exact ⟨δ, hδ_pos, fun _ => hgδ⟩ #align measure_theory.unif_integrable_const MeasureTheory.unifIntegrable_const theorem unifIntegrable_subsingleton [Subsingleton ι] (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) {f : ι → α → β} (hf : ∀ i, Memℒp (f i) p μ) : UnifIntegrable f p μ := by intro ε hε by_cases hι : Nonempty ι · cases' hι with i obtain ⟨δ, hδpos, hδ⟩ := (hf i).snorm_indicator_le hp_one hp_top hε refine ⟨δ, hδpos, fun j s hs hμs => ?_⟩ convert hδ s hs hμs · exact ⟨1, zero_lt_one, fun i => False.elim <| hι <| Nonempty.intro i⟩ #align measure_theory.unif_integrable_subsingleton MeasureTheory.unifIntegrable_subsingleton theorem unifIntegrable_fin (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) {n : ℕ} {f : Fin n → α → β} (hf : ∀ i, Memℒp (f i) p μ) : UnifIntegrable f p μ := by revert f induction' n with n h · intro f hf -- Porting note (#10754): added this instance have : Subsingleton (Fin Nat.zero) := subsingleton_fin_zero exact unifIntegrable_subsingleton hp_one hp_top hf intro f hfLp ε hε let g : Fin n → α → β := fun k => f k have hgLp : ∀ i, Memℒp (g i) p μ := fun i => hfLp i obtain ⟨δ₁, hδ₁pos, hδ₁⟩ := h hgLp hε obtain ⟨δ₂, hδ₂pos, hδ₂⟩ := (hfLp n).snorm_indicator_le hp_one hp_top hε refine ⟨min δ₁ δ₂, lt_min hδ₁pos hδ₂pos, fun i s hs hμs => ?_⟩ by_cases hi : i.val < n · rw [(_ : f i = g ⟨i.val, hi⟩)] · exact hδ₁ _ s hs (le_trans hμs <| ENNReal.ofReal_le_ofReal <| min_le_left _ _) · simp [g] · rw [(_ : i = n)] · exact hδ₂ _ hs (le_trans hμs <| ENNReal.ofReal_le_ofReal <| min_le_right _ _) · have hi' := Fin.is_lt i rw [Nat.lt_succ_iff] at hi' rw [not_lt] at hi simp [← le_antisymm hi' hi] #align measure_theory.unif_integrable_fin MeasureTheory.unifIntegrable_fin theorem unifIntegrable_finite [Finite ι] (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) {f : ι → α → β} (hf : ∀ i, Memℒp (f i) p μ) : UnifIntegrable f p μ := by obtain ⟨n, hn⟩ := Finite.exists_equiv_fin ι intro ε hε let g : Fin n → α → β := f ∘ hn.some.symm have hg : ∀ i, Memℒp (g i) p μ := fun _ => hf _ obtain ⟨δ, hδpos, hδ⟩ := unifIntegrable_fin hp_one hp_top hg hε refine ⟨δ, hδpos, fun i s hs hμs => ?_⟩ specialize hδ (hn.some i) s hs hμs simp_rw [g, Function.comp_apply, Equiv.symm_apply_apply] at hδ assumption #align measure_theory.unif_integrable_finite MeasureTheory.unifIntegrable_finite end theorem snorm_sub_le_of_dist_bdd (μ : Measure α) {p : ℝ≥0∞} (hp' : p ≠ ∞) {s : Set α} (hs : MeasurableSet[m] s) {f g : α → β} {c : ℝ} (hc : 0 ≤ c) (hf : ∀ x ∈ s, dist (f x) (g x) ≤ c) : snorm (s.indicator (f - g)) p μ ≤ ENNReal.ofReal c * μ s ^ (1 / p.toReal) := by by_cases hp : p = 0 · simp [hp] have : ∀ x, ‖s.indicator (f - g) x‖ ≤ ‖s.indicator (fun _ => c) x‖ := by intro x by_cases hx : x ∈ s · rw [Set.indicator_of_mem hx, Set.indicator_of_mem hx, Pi.sub_apply, ← dist_eq_norm, Real.norm_eq_abs, abs_of_nonneg hc] exact hf x hx · simp [Set.indicator_of_not_mem hx] refine le_trans (snorm_mono this) ?_ rw [snorm_indicator_const hs hp hp'] refine mul_le_mul_right' (le_of_eq ?_) _ rw [← ofReal_norm_eq_coe_nnnorm, Real.norm_eq_abs, abs_of_nonneg hc] #align measure_theory.snorm_sub_le_of_dist_bdd MeasureTheory.snorm_sub_le_of_dist_bdd theorem tendsto_Lp_of_tendsto_ae_of_meas [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞) {f : ℕ → α → β} {g : α → β} (hf : ∀ n, StronglyMeasurable (f n)) (hg : StronglyMeasurable g) (hg' : Memℒp g p μ) (hui : UnifIntegrable f p μ) (hfg : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x))) : Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0) := by rw [ENNReal.tendsto_atTop_zero] intro ε hε by_cases h : ε < ∞; swap · rw [not_lt, top_le_iff] at h exact ⟨0, fun n _ => by simp [h]⟩ by_cases hμ : μ = 0 · exact ⟨0, fun n _ => by simp [hμ]⟩ have hε' : 0 < ε.toReal / 3 := div_pos (ENNReal.toReal_pos (gt_iff_lt.1 hε).ne.symm h.ne) (by norm_num) have hdivp : 0 ≤ 1 / p.toReal := by refine one_div_nonneg.2 ?_ rw [← ENNReal.zero_toReal, ENNReal.toReal_le_toReal ENNReal.zero_ne_top hp'] exact le_trans (zero_le _) hp have hpow : 0 < measureUnivNNReal μ ^ (1 / p.toReal) := Real.rpow_pos_of_pos (measureUnivNNReal_pos hμ) _ obtain ⟨δ₁, hδ₁, hsnorm₁⟩ := hui hε' obtain ⟨δ₂, hδ₂, hsnorm₂⟩ := hg'.snorm_indicator_le hp hp' hε' obtain ⟨t, htm, ht₁, ht₂⟩ := tendstoUniformlyOn_of_ae_tendsto' hf hg hfg (lt_min hδ₁ hδ₂) rw [Metric.tendstoUniformlyOn_iff] at ht₂ specialize ht₂ (ε.toReal / (3 * measureUnivNNReal μ ^ (1 / p.toReal))) (div_pos (ENNReal.toReal_pos (gt_iff_lt.1 hε).ne.symm h.ne) (mul_pos (by norm_num) hpow)) obtain ⟨N, hN⟩ := eventually_atTop.1 ht₂; clear ht₂ refine ⟨N, fun n hn => ?_⟩ rw [← t.indicator_self_add_compl (f n - g)] refine le_trans (snorm_add_le (((hf n).sub hg).indicator htm).aestronglyMeasurable (((hf n).sub hg).indicator htm.compl).aestronglyMeasurable hp) ?_ rw [sub_eq_add_neg, Set.indicator_add' t, Set.indicator_neg'] refine le_trans (add_le_add_right (snorm_add_le ((hf n).indicator htm).aestronglyMeasurable (hg.indicator htm).neg.aestronglyMeasurable hp) _) ?_ have hnf : snorm (t.indicator (f n)) p μ ≤ ENNReal.ofReal (ε.toReal / 3) := by refine hsnorm₁ n t htm (le_trans ht₁ ?_) rw [ENNReal.ofReal_le_ofReal_iff hδ₁.le] exact min_le_left _ _ have hng : snorm (t.indicator g) p μ ≤ ENNReal.ofReal (ε.toReal / 3) := by refine hsnorm₂ t htm (le_trans ht₁ ?_) rw [ENNReal.ofReal_le_ofReal_iff hδ₂.le] exact min_le_right _ _ have hlt : snorm (tᶜ.indicator (f n - g)) p μ ≤ ENNReal.ofReal (ε.toReal / 3) := by specialize hN n hn have : 0 ≤ ε.toReal / (3 * measureUnivNNReal μ ^ (1 / p.toReal)) := by positivity have := snorm_sub_le_of_dist_bdd μ hp' htm.compl this fun x hx => (dist_comm (g x) (f n x) ▸ (hN x hx).le : dist (f n x) (g x) ≤ ε.toReal / (3 * measureUnivNNReal μ ^ (1 / p.toReal))) refine le_trans this ?_ rw [div_mul_eq_div_mul_one_div, ← ENNReal.ofReal_toReal (measure_lt_top μ tᶜ).ne, ENNReal.ofReal_rpow_of_nonneg ENNReal.toReal_nonneg hdivp, ← ENNReal.ofReal_mul, mul_assoc] · refine ENNReal.ofReal_le_ofReal (mul_le_of_le_one_right hε'.le ?_) rw [mul_comm, mul_one_div, div_le_one] · refine Real.rpow_le_rpow ENNReal.toReal_nonneg (ENNReal.toReal_le_of_le_ofReal (measureUnivNNReal_pos hμ).le ?_) hdivp rw [ENNReal.ofReal_coe_nnreal, coe_measureUnivNNReal] exact measure_mono (Set.subset_univ _) · exact Real.rpow_pos_of_pos (measureUnivNNReal_pos hμ) _ · positivity have : ENNReal.ofReal (ε.toReal / 3) = ε / 3 := by rw [ENNReal.ofReal_div_of_pos (show (0 : ℝ) < 3 by norm_num), ENNReal.ofReal_toReal h.ne] simp rw [this] at hnf hng hlt rw [snorm_neg, ← ENNReal.add_thirds ε, ← sub_eq_add_neg] exact add_le_add_three hnf hng hlt set_option linter.uppercaseLean3 false in #align measure_theory.tendsto_Lp_of_tendsto_ae_of_meas MeasureTheory.tendsto_Lp_of_tendsto_ae_of_meas theorem tendsto_Lp_of_tendsto_ae [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞) {f : ℕ → α → β} {g : α → β} (hf : ∀ n, AEStronglyMeasurable (f n) μ) (hg : Memℒp g p μ) (hui : UnifIntegrable f p μ) (hfg : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x))) : Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0) := by have : ∀ n, snorm (f n - g) p μ = snorm ((hf n).mk (f n) - hg.1.mk g) p μ := fun n => snorm_congr_ae ((hf n).ae_eq_mk.sub hg.1.ae_eq_mk) simp_rw [this] refine tendsto_Lp_of_tendsto_ae_of_meas hp hp' (fun n => (hf n).stronglyMeasurable_mk) hg.1.stronglyMeasurable_mk (hg.ae_eq hg.1.ae_eq_mk) (hui.ae_eq fun n => (hf n).ae_eq_mk) ?_ have h_ae_forall_eq : ∀ᵐ x ∂μ, ∀ n, f n x = (hf n).mk (f n) x := by rw [ae_all_iff] exact fun n => (hf n).ae_eq_mk filter_upwards [hfg, h_ae_forall_eq, hg.1.ae_eq_mk] with x hx_tendsto hxf_eq hxg_eq rw [← hxg_eq] convert hx_tendsto using 1 ext1 n exact (hxf_eq n).symm set_option linter.uppercaseLean3 false in #align measure_theory.tendsto_Lp_of_tendsto_ae MeasureTheory.tendsto_Lp_of_tendsto_ae variable {f : ℕ → α → β} {g : α → β} theorem unifIntegrable_of_tendsto_Lp_zero (hp : 1 ≤ p) (hp' : p ≠ ∞) (hf : ∀ n, Memℒp (f n) p μ) (hf_tendsto : Tendsto (fun n => snorm (f n) p μ) atTop (𝓝 0)) : UnifIntegrable f p μ := by intro ε hε rw [ENNReal.tendsto_atTop_zero] at hf_tendsto obtain ⟨N, hN⟩ := hf_tendsto (ENNReal.ofReal ε) (by simpa) let F : Fin N → α → β := fun n => f n have hF : ∀ n, Memℒp (F n) p μ := fun n => hf n obtain ⟨δ₁, hδpos₁, hδ₁⟩ := unifIntegrable_fin hp hp' hF hε refine ⟨δ₁, hδpos₁, fun n s hs hμs => ?_⟩ by_cases hn : n < N · exact hδ₁ ⟨n, hn⟩ s hs hμs · exact (snorm_indicator_le _).trans (hN n (not_lt.1 hn)) set_option linter.uppercaseLean3 false in #align measure_theory.unif_integrable_of_tendsto_Lp_zero MeasureTheory.unifIntegrable_of_tendsto_Lp_zero theorem unifIntegrable_of_tendsto_Lp (hp : 1 ≤ p) (hp' : p ≠ ∞) (hf : ∀ n, Memℒp (f n) p μ) (hg : Memℒp g p μ) (hfg : Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0)) : UnifIntegrable f p μ := by have : f = (fun _ => g) + fun n => f n - g := by ext1 n; simp rw [this] refine UnifIntegrable.add ?_ ?_ hp (fun _ => hg.aestronglyMeasurable) fun n => (hf n).1.sub hg.aestronglyMeasurable · exact unifIntegrable_const hp hp' hg · exact unifIntegrable_of_tendsto_Lp_zero hp hp' (fun n => (hf n).sub hg) hfg set_option linter.uppercaseLean3 false in #align measure_theory.unif_integrable_of_tendsto_Lp MeasureTheory.unifIntegrable_of_tendsto_Lp theorem tendsto_Lp_of_tendstoInMeasure [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞) (hf : ∀ n, AEStronglyMeasurable (f n) μ) (hg : Memℒp g p μ) (hui : UnifIntegrable f p μ) (hfg : TendstoInMeasure μ f atTop g) : Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0) := by refine tendsto_of_subseq_tendsto fun ns hns => ?_ obtain ⟨ms, _, hms'⟩ := TendstoInMeasure.exists_seq_tendsto_ae fun ε hε => (hfg ε hε).comp hns exact ⟨ms, tendsto_Lp_of_tendsto_ae hp hp' (fun _ => hf _) hg (fun ε hε => let ⟨δ, hδ, hδ'⟩ := hui hε ⟨δ, hδ, fun i s hs hμs => hδ' _ s hs hμs⟩) hms'⟩ set_option linter.uppercaseLean3 false in #align measure_theory.tendsto_Lp_of_tendsto_in_measure MeasureTheory.tendsto_Lp_of_tendstoInMeasure theorem tendstoInMeasure_iff_tendsto_Lp [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞) (hf : ∀ n, Memℒp (f n) p μ) (hg : Memℒp g p μ) : TendstoInMeasure μ f atTop g ∧ UnifIntegrable f p μ ↔ Tendsto (fun n => snorm (f n - g) p μ) atTop (𝓝 0) := ⟨fun h => tendsto_Lp_of_tendstoInMeasure hp hp' (fun n => (hf n).1) hg h.2 h.1, fun h => ⟨tendstoInMeasure_of_tendsto_snorm (lt_of_lt_of_le zero_lt_one hp).ne.symm (fun n => (hf n).aestronglyMeasurable) hg.aestronglyMeasurable h, unifIntegrable_of_tendsto_Lp hp hp' hf hg h⟩⟩ set_option linter.uppercaseLean3 false in #align measure_theory.tendsto_in_measure_iff_tendsto_Lp MeasureTheory.tendstoInMeasure_iff_tendsto_Lp theorem unifIntegrable_of' (hp : 1 ≤ p) (hp' : p ≠ ∞) {f : ι → α → β} (hf : ∀ i, StronglyMeasurable (f i)) (h : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ≥0, 0 < C ∧ ∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε) : UnifIntegrable f p μ := by have hpzero := (lt_of_lt_of_le zero_lt_one hp).ne.symm by_cases hμ : μ Set.univ = 0 · rw [Measure.measure_univ_eq_zero] at hμ exact hμ.symm ▸ unifIntegrable_zero_meas intro ε hε obtain ⟨C, hCpos, hC⟩ := h (ε / 2) (half_pos hε) refine ⟨(ε / (2 * C)) ^ ENNReal.toReal p, Real.rpow_pos_of_pos (div_pos hε (mul_pos two_pos (NNReal.coe_pos.2 hCpos))) _, fun i s hs hμs => ?_⟩ by_cases hμs' : μ s = 0 · rw [(snorm_eq_zero_iff ((hf i).indicator hs).aestronglyMeasurable hpzero).2 (indicator_meas_zero hμs')] set_option tactic.skipAssignedInstances false in norm_num calc snorm (Set.indicator s (f i)) p μ ≤ snorm (Set.indicator (s ∩ { x | C ≤ ‖f i x‖₊ }) (f i)) p μ + snorm (Set.indicator (s ∩ { x | ‖f i x‖₊ < C }) (f i)) p μ := by refine le_trans (Eq.le ?_) (snorm_add_le (StronglyMeasurable.aestronglyMeasurable ((hf i).indicator (hs.inter (stronglyMeasurable_const.measurableSet_le (hf i).nnnorm)))) (StronglyMeasurable.aestronglyMeasurable ((hf i).indicator (hs.inter ((hf i).nnnorm.measurableSet_lt stronglyMeasurable_const)))) hp) congr change _ = fun x => (s ∩ { x : α | C ≤ ‖f i x‖₊ }).indicator (f i) x + (s ∩ { x : α | ‖f i x‖₊ < C }).indicator (f i) x rw [← Set.indicator_union_of_disjoint] · rw [← Set.inter_union_distrib_left, (by ext; simp [le_or_lt] : { x : α | C ≤ ‖f i x‖₊ } ∪ { x : α | ‖f i x‖₊ < C } = Set.univ), Set.inter_univ] · refine (Disjoint.inf_right' _ ?_).inf_left' _ rw [disjoint_iff_inf_le] rintro x ⟨hx₁, hx₂⟩ rw [Set.mem_setOf_eq] at hx₁ hx₂ exact False.elim (hx₂.ne (eq_of_le_of_not_lt hx₁ (not_lt.2 hx₂.le)).symm) _ ≤ snorm (Set.indicator { x | C ≤ ‖f i x‖₊ } (f i)) p μ + (C : ℝ≥0∞) * μ s ^ (1 / ENNReal.toReal p) := by refine add_le_add (snorm_mono fun x => norm_indicator_le_of_subset Set.inter_subset_right _ _) ?_ rw [← Set.indicator_indicator] rw [snorm_indicator_eq_snorm_restrict hs] have : ∀ᵐ x ∂μ.restrict s, ‖{ x : α | ‖f i x‖₊ < C }.indicator (f i) x‖ ≤ C := by filter_upwards simp_rw [norm_indicator_eq_indicator_norm] exact Set.indicator_le' (fun x (hx : _ < _) => hx.le) fun _ _ => NNReal.coe_nonneg _ refine le_trans (snorm_le_of_ae_bound this) ?_ rw [mul_comm, Measure.restrict_apply' hs, Set.univ_inter, ENNReal.ofReal_coe_nnreal, one_div] _ ≤ ENNReal.ofReal (ε / 2) + C * ENNReal.ofReal (ε / (2 * C)) := by refine add_le_add (hC i) (mul_le_mul_left' ?_ _) rwa [ENNReal.rpow_one_div_le_iff (ENNReal.toReal_pos hpzero hp'), ENNReal.ofReal_rpow_of_pos (div_pos hε (mul_pos two_pos (NNReal.coe_pos.2 hCpos)))] _ ≤ ENNReal.ofReal (ε / 2) + ENNReal.ofReal (ε / 2) := by refine add_le_add_left ?_ _ rw [← ENNReal.ofReal_coe_nnreal, ← ENNReal.ofReal_mul (NNReal.coe_nonneg _), ← div_div, mul_div_cancel₀ _ (NNReal.coe_pos.2 hCpos).ne.symm] _ ≤ ENNReal.ofReal ε := by rw [← ENNReal.ofReal_add (half_pos hε).le (half_pos hε).le, add_halves] #align measure_theory.unif_integrable_of' MeasureTheory.unifIntegrable_of' theorem unifIntegrable_of (hp : 1 ≤ p) (hp' : p ≠ ∞) {f : ι → α → β} (hf : ∀ i, AEStronglyMeasurable (f i) μ) (h : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ≥0, ∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε) : UnifIntegrable f p μ := by set g : ι → α → β := fun i => (hf i).choose refine (unifIntegrable_of' hp hp' (fun i => (Exists.choose_spec <| hf i).1) fun ε hε => ?_).ae_eq fun i => (Exists.choose_spec <| hf i).2.symm obtain ⟨C, hC⟩ := h ε hε have hCg : ∀ i, snorm ({ x | C ≤ ‖g i x‖₊ }.indicator (g i)) p μ ≤ ENNReal.ofReal ε := by intro i refine le_trans (le_of_eq <| snorm_congr_ae ?_) (hC i) filter_upwards [(Exists.choose_spec <| hf i).2] with x hx by_cases hfx : x ∈ { x | C ≤ ‖f i x‖₊ } · rw [Set.indicator_of_mem hfx, Set.indicator_of_mem, hx] rwa [Set.mem_setOf, hx] at hfx · rw [Set.indicator_of_not_mem hfx, Set.indicator_of_not_mem] rwa [Set.mem_setOf, hx] at hfx refine ⟨max C 1, lt_max_of_lt_right one_pos, fun i => le_trans (snorm_mono fun x => ?_) (hCg i)⟩ rw [norm_indicator_eq_indicator_norm, norm_indicator_eq_indicator_norm] exact Set.indicator_le_indicator_of_subset (fun x hx => Set.mem_setOf_eq ▸ le_trans (le_max_left _ _) hx) (fun _ => norm_nonneg _) _ #align measure_theory.unif_integrable_of MeasureTheory.unifIntegrable_of end UnifIntegrable section UniformIntegrable variable {p : ℝ≥0∞} {f : ι → α → β} theorem uniformIntegrable_zero_meas [MeasurableSpace α] : UniformIntegrable f p (0 : Measure α) := ⟨fun _ => aestronglyMeasurable_zero_measure _, unifIntegrable_zero_meas, 0, fun _ => snorm_measure_zero.le⟩ #align measure_theory.uniform_integrable_zero_meas MeasureTheory.uniformIntegrable_zero_meas theorem UniformIntegrable.ae_eq {g : ι → α → β} (hf : UniformIntegrable f p μ) (hfg : ∀ n, f n =ᵐ[μ] g n) : UniformIntegrable g p μ := by obtain ⟨hfm, hunif, C, hC⟩ := hf refine ⟨fun i => (hfm i).congr (hfg i), (unifIntegrable_congr_ae hfg).1 hunif, C, fun i => ?_⟩ rw [← snorm_congr_ae (hfg i)] exact hC i #align measure_theory.uniform_integrable.ae_eq MeasureTheory.UniformIntegrable.ae_eq theorem uniformIntegrable_congr_ae {g : ι → α → β} (hfg : ∀ n, f n =ᵐ[μ] g n) : UniformIntegrable f p μ ↔ UniformIntegrable g p μ := ⟨fun h => h.ae_eq hfg, fun h => h.ae_eq fun i => (hfg i).symm⟩ #align measure_theory.uniform_integrable_congr_ae MeasureTheory.uniformIntegrable_congr_ae theorem uniformIntegrable_finite [Finite ι] (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) (hf : ∀ i, Memℒp (f i) p μ) : UniformIntegrable f p μ := by cases nonempty_fintype ι refine ⟨fun n => (hf n).1, unifIntegrable_finite hp_one hp_top hf, ?_⟩ by_cases hι : Nonempty ι · choose _ hf using hf set C := (Finset.univ.image fun i : ι => snorm (f i) p μ).max' ⟨snorm (f hι.some) p μ, Finset.mem_image.2 ⟨hι.some, Finset.mem_univ _, rfl⟩⟩ refine ⟨C.toNNReal, fun i => ?_⟩ rw [ENNReal.coe_toNNReal] · exact Finset.le_max' (α := ℝ≥0∞) _ _ (Finset.mem_image.2 ⟨i, Finset.mem_univ _, rfl⟩) · refine ne_of_lt ((Finset.max'_lt_iff _ _).2 fun y hy => ?_) rw [Finset.mem_image] at hy obtain ⟨i, -, rfl⟩ := hy exact hf i · exact ⟨0, fun i => False.elim <| hι <| Nonempty.intro i⟩ #align measure_theory.uniform_integrable_finite MeasureTheory.uniformIntegrable_finite theorem uniformIntegrable_subsingleton [Subsingleton ι] (hp_one : 1 ≤ p) (hp_top : p ≠ ∞) (hf : ∀ i, Memℒp (f i) p μ) : UniformIntegrable f p μ := uniformIntegrable_finite hp_one hp_top hf #align measure_theory.uniform_integrable_subsingleton MeasureTheory.uniformIntegrable_subsingleton theorem uniformIntegrable_const {g : α → β} (hp : 1 ≤ p) (hp_ne_top : p ≠ ∞) (hg : Memℒp g p μ) : UniformIntegrable (fun _ : ι => g) p μ := ⟨fun _ => hg.1, unifIntegrable_const hp hp_ne_top hg, ⟨(snorm g p μ).toNNReal, fun _ => le_of_eq (ENNReal.coe_toNNReal hg.2.ne).symm⟩⟩ #align measure_theory.uniform_integrable_const MeasureTheory.uniformIntegrable_const theorem uniformIntegrable_of' [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞) (hf : ∀ i, StronglyMeasurable (f i)) (h : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ≥0, ∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε) : UniformIntegrable f p μ := by refine ⟨fun i => (hf i).aestronglyMeasurable, unifIntegrable_of hp hp' (fun i => (hf i).aestronglyMeasurable) h, ?_⟩ obtain ⟨C, hC⟩ := h 1 one_pos refine ⟨((C : ℝ≥0∞) * μ Set.univ ^ p.toReal⁻¹ + 1).toNNReal, fun i => ?_⟩ calc snorm (f i) p μ ≤ snorm ({ x : α | ‖f i x‖₊ < C }.indicator (f i)) p μ + snorm ({ x : α | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ := by refine le_trans (snorm_mono fun x => ?_) (snorm_add_le (StronglyMeasurable.aestronglyMeasurable ((hf i).indicator ((hf i).nnnorm.measurableSet_lt stronglyMeasurable_const))) (StronglyMeasurable.aestronglyMeasurable ((hf i).indicator (stronglyMeasurable_const.measurableSet_le (hf i).nnnorm))) hp) rw [Pi.add_apply, Set.indicator_apply] split_ifs with hx · rw [Set.indicator_of_not_mem, add_zero] simpa using hx · rw [Set.indicator_of_mem, zero_add] simpa using hx _ ≤ (C : ℝ≥0∞) * μ Set.univ ^ p.toReal⁻¹ + 1 := by have : ∀ᵐ x ∂μ, ‖{ x : α | ‖f i x‖₊ < C }.indicator (f i) x‖₊ ≤ C := by filter_upwards simp_rw [nnnorm_indicator_eq_indicator_nnnorm] exact Set.indicator_le fun x (hx : _ < _) => hx.le refine add_le_add (le_trans (snorm_le_of_ae_bound this) ?_) (ENNReal.ofReal_one ▸ hC i) simp_rw [NNReal.val_eq_coe, ENNReal.ofReal_coe_nnreal, mul_comm] exact le_rfl _ = ((C : ℝ≥0∞) * μ Set.univ ^ p.toReal⁻¹ + 1 : ℝ≥0∞).toNNReal := by rw [ENNReal.coe_toNNReal] exact ENNReal.add_ne_top.2 ⟨ENNReal.mul_ne_top ENNReal.coe_ne_top (ENNReal.rpow_ne_top_of_nonneg (inv_nonneg.2 ENNReal.toReal_nonneg) (measure_lt_top _ _).ne), ENNReal.one_ne_top⟩ #align measure_theory.uniform_integrable_of' MeasureTheory.uniformIntegrable_of' theorem uniformIntegrable_of [IsFiniteMeasure μ] (hp : 1 ≤ p) (hp' : p ≠ ∞) (hf : ∀ i, AEStronglyMeasurable (f i) μ) (h : ∀ ε : ℝ, 0 < ε → ∃ C : ℝ≥0, ∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε) : UniformIntegrable f p μ := by set g : ι → α → β := fun i => (hf i).choose have hgmeas : ∀ i, StronglyMeasurable (g i) := fun i => (Exists.choose_spec <| hf i).1 have hgeq : ∀ i, g i =ᵐ[μ] f i := fun i => (Exists.choose_spec <| hf i).2.symm refine (uniformIntegrable_of' hp hp' hgmeas fun ε hε => ?_).ae_eq hgeq obtain ⟨C, hC⟩ := h ε hε refine ⟨C, fun i => le_trans (le_of_eq <| snorm_congr_ae ?_) (hC i)⟩ filter_upwards [(Exists.choose_spec <| hf i).2] with x hx by_cases hfx : x ∈ { x | C ≤ ‖f i x‖₊ } · rw [Set.indicator_of_mem hfx, Set.indicator_of_mem, hx] rwa [Set.mem_setOf, hx] at hfx · rw [Set.indicator_of_not_mem hfx, Set.indicator_of_not_mem] rwa [Set.mem_setOf, hx] at hfx #align measure_theory.uniform_integrable_of MeasureTheory.uniformIntegrable_of
Mathlib/MeasureTheory/Function/UniformIntegrable.lean
855
888
theorem UniformIntegrable.spec' (hp : p ≠ 0) (hp' : p ≠ ∞) (hf : ∀ i, StronglyMeasurable (f i)) (hfu : UniformIntegrable f p μ) {ε : ℝ} (hε : 0 < ε) : ∃ C : ℝ≥0, ∀ i, snorm ({ x | C ≤ ‖f i x‖₊ }.indicator (f i)) p μ ≤ ENNReal.ofReal ε := by
obtain ⟨-, hfu, M, hM⟩ := hfu obtain ⟨δ, hδpos, hδ⟩ := hfu hε obtain ⟨C, hC⟩ : ∃ C : ℝ≥0, ∀ i, μ { x | C ≤ ‖f i x‖₊ } ≤ ENNReal.ofReal δ := by by_contra hcon; push_neg at hcon choose ℐ hℐ using hcon lift δ to ℝ≥0 using hδpos.le have : ∀ C : ℝ≥0, C • (δ : ℝ≥0∞) ^ (1 / p.toReal) ≤ snorm (f (ℐ C)) p μ := by intro C calc C • (δ : ℝ≥0∞) ^ (1 / p.toReal) ≤ C • μ { x | C ≤ ‖f (ℐ C) x‖₊ } ^ (1 / p.toReal) := by rw [ENNReal.smul_def, ENNReal.smul_def, smul_eq_mul, smul_eq_mul] simp_rw [ENNReal.ofReal_coe_nnreal] at hℐ refine mul_le_mul' le_rfl (ENNReal.rpow_le_rpow (hℐ C).le (one_div_nonneg.2 ENNReal.toReal_nonneg)) _ ≤ snorm ({ x | C ≤ ‖f (ℐ C) x‖₊ }.indicator (f (ℐ C))) p μ := by refine snorm_indicator_ge_of_bdd_below hp hp' _ (measurableSet_le measurable_const (hf _).nnnorm.measurable) (eventually_of_forall fun x hx => ?_) rwa [nnnorm_indicator_eq_indicator_nnnorm, Set.indicator_of_mem hx] _ ≤ snorm (f (ℐ C)) p μ := snorm_indicator_le _ specialize this (2 * max M 1 * δ⁻¹ ^ (1 / p.toReal)) rw [ENNReal.coe_rpow_of_nonneg _ (one_div_nonneg.2 ENNReal.toReal_nonneg), ← ENNReal.coe_smul, smul_eq_mul, mul_assoc, NNReal.inv_rpow, inv_mul_cancel (NNReal.rpow_pos (NNReal.coe_pos.1 hδpos)).ne.symm, mul_one, ENNReal.coe_mul, ← NNReal.inv_rpow] at this refine (lt_of_le_of_lt (le_trans (hM <| ℐ <| 2 * max M 1 * δ⁻¹ ^ (1 / p.toReal)) (le_max_left (M : ℝ≥0∞) 1)) (lt_of_lt_of_le ?_ this)).ne rfl rw [← ENNReal.coe_one, ← ENNReal.coe_max, ← ENNReal.coe_mul, ENNReal.coe_lt_coe] exact lt_two_mul_self (lt_max_of_lt_right one_pos) exact ⟨C, fun i => hδ i _ (measurableSet_le measurable_const (hf i).nnnorm.measurable) (hC i)⟩
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv #align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840" noncomputable section open Affine open Set section variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [AffineSpace V P] def vectorSpan (s : Set P) : Submodule k V := Submodule.span k (s -ᵥ s) #align vector_span vectorSpan theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) := rfl #align vector_span_def vectorSpan_def theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ := Submodule.span_mono (vsub_self_mono h) #align vector_span_mono vectorSpan_mono variable (P) @[simp] theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by rw [vectorSpan_def, vsub_empty, Submodule.span_empty] #align vector_span_empty vectorSpan_empty variable {P} @[simp] theorem vectorSpan_singleton (p : P) : vectorSpan k ({p} : Set P) = ⊥ := by simp [vectorSpan_def] #align vector_span_singleton vectorSpan_singleton theorem vsub_set_subset_vectorSpan (s : Set P) : s -ᵥ s ⊆ ↑(vectorSpan k s) := Submodule.subset_span #align vsub_set_subset_vector_span vsub_set_subset_vectorSpan theorem vsub_mem_vectorSpan {s : Set P} {p1 p2 : P} (hp1 : p1 ∈ s) (hp2 : p2 ∈ s) : p1 -ᵥ p2 ∈ vectorSpan k s := vsub_set_subset_vectorSpan k s (vsub_mem_vsub hp1 hp2) #align vsub_mem_vector_span vsub_mem_vectorSpan def spanPoints (s : Set P) : Set P := { p | ∃ p1 ∈ s, ∃ v ∈ vectorSpan k s, p = v +ᵥ p1 } #align span_points spanPoints theorem mem_spanPoints (p : P) (s : Set P) : p ∈ s → p ∈ spanPoints k s | hp => ⟨p, hp, 0, Submodule.zero_mem _, (zero_vadd V p).symm⟩ #align mem_span_points mem_spanPoints theorem subset_spanPoints (s : Set P) : s ⊆ spanPoints k s := fun p => mem_spanPoints k p s #align subset_span_points subset_spanPoints @[simp] theorem spanPoints_nonempty (s : Set P) : (spanPoints k s).Nonempty ↔ s.Nonempty := by constructor · contrapose rw [Set.not_nonempty_iff_eq_empty, Set.not_nonempty_iff_eq_empty] intro h simp [h, spanPoints] · exact fun h => h.mono (subset_spanPoints _ _) #align span_points_nonempty spanPoints_nonempty theorem vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan {s : Set P} {p : P} {v : V} (hp : p ∈ spanPoints k s) (hv : v ∈ vectorSpan k s) : v +ᵥ p ∈ spanPoints k s := by rcases hp with ⟨p2, ⟨hp2, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩ rw [hv2p, vadd_vadd] exact ⟨p2, hp2, v + v2, (vectorSpan k s).add_mem hv hv2, rfl⟩ #align vadd_mem_span_points_of_mem_span_points_of_mem_vector_span vadd_mem_spanPoints_of_mem_spanPoints_of_mem_vectorSpan theorem vsub_mem_vectorSpan_of_mem_spanPoints_of_mem_spanPoints {s : Set P} {p1 p2 : P} (hp1 : p1 ∈ spanPoints k s) (hp2 : p2 ∈ spanPoints k s) : p1 -ᵥ p2 ∈ vectorSpan k s := by rcases hp1 with ⟨p1a, ⟨hp1a, ⟨v1, ⟨hv1, hv1p⟩⟩⟩⟩ rcases hp2 with ⟨p2a, ⟨hp2a, ⟨v2, ⟨hv2, hv2p⟩⟩⟩⟩ rw [hv1p, hv2p, vsub_vadd_eq_vsub_sub (v1 +ᵥ p1a), vadd_vsub_assoc, add_comm, add_sub_assoc] have hv1v2 : v1 - v2 ∈ vectorSpan k s := (vectorSpan k s).sub_mem hv1 hv2 refine (vectorSpan k s).add_mem ?_ hv1v2 exact vsub_mem_vectorSpan k hp1a hp2a #align vsub_mem_vector_span_of_mem_span_points_of_mem_span_points vsub_mem_vectorSpan_of_mem_spanPoints_of_mem_spanPoints end structure AffineSubspace (k : Type*) {V : Type*} (P : Type*) [Ring k] [AddCommGroup V] [Module k V] [AffineSpace V P] where carrier : Set P smul_vsub_vadd_mem : ∀ (c : k) {p1 p2 p3 : P}, p1 ∈ carrier → p2 ∈ carrier → p3 ∈ carrier → c • (p1 -ᵥ p2 : V) +ᵥ p3 ∈ carrier #align affine_subspace AffineSubspace namespace AffineSubspace variable (k : Type*) {V : Type*} (P : Type*) [Ring k] [AddCommGroup V] [Module k V] [AffineSpace V P] instance : SetLike (AffineSubspace k P) P where coe := carrier coe_injective' p q _ := by cases p; cases q; congr -- Porting note: removed `simp`, proof is `simp only [SetLike.mem_coe]` theorem mem_coe (p : P) (s : AffineSubspace k P) : p ∈ (s : Set P) ↔ p ∈ s := Iff.rfl #align affine_subspace.mem_coe AffineSubspace.mem_coe variable {k P} def direction (s : AffineSubspace k P) : Submodule k V := vectorSpan k (s : Set P) #align affine_subspace.direction AffineSubspace.direction theorem direction_eq_vectorSpan (s : AffineSubspace k P) : s.direction = vectorSpan k (s : Set P) := rfl #align affine_subspace.direction_eq_vector_span AffineSubspace.direction_eq_vectorSpan def directionOfNonempty {s : AffineSubspace k P} (h : (s : Set P).Nonempty) : Submodule k V where carrier := (s : Set P) -ᵥ s zero_mem' := by cases' h with p hp exact vsub_self p ▸ vsub_mem_vsub hp hp add_mem' := by rintro _ _ ⟨p1, hp1, p2, hp2, rfl⟩ ⟨p3, hp3, p4, hp4, rfl⟩ rw [← vadd_vsub_assoc] refine vsub_mem_vsub ?_ hp4 convert s.smul_vsub_vadd_mem 1 hp1 hp2 hp3 rw [one_smul] smul_mem' := by rintro c _ ⟨p1, hp1, p2, hp2, rfl⟩ rw [← vadd_vsub (c • (p1 -ᵥ p2)) p2] refine vsub_mem_vsub ?_ hp2 exact s.smul_vsub_vadd_mem c hp1 hp2 hp2 #align affine_subspace.direction_of_nonempty AffineSubspace.directionOfNonempty theorem directionOfNonempty_eq_direction {s : AffineSubspace k P} (h : (s : Set P).Nonempty) : directionOfNonempty h = s.direction := by refine le_antisymm ?_ (Submodule.span_le.2 Set.Subset.rfl) rw [← SetLike.coe_subset_coe, directionOfNonempty, direction, Submodule.coe_set_mk, AddSubmonoid.coe_set_mk] exact vsub_set_subset_vectorSpan k _ #align affine_subspace.direction_of_nonempty_eq_direction AffineSubspace.directionOfNonempty_eq_direction theorem coe_direction_eq_vsub_set {s : AffineSubspace k P} (h : (s : Set P).Nonempty) : (s.direction : Set V) = (s : Set P) -ᵥ s := directionOfNonempty_eq_direction h ▸ rfl #align affine_subspace.coe_direction_eq_vsub_set AffineSubspace.coe_direction_eq_vsub_set theorem mem_direction_iff_eq_vsub {s : AffineSubspace k P} (h : (s : Set P).Nonempty) (v : V) : v ∈ s.direction ↔ ∃ p1 ∈ s, ∃ p2 ∈ s, v = p1 -ᵥ p2 := by rw [← SetLike.mem_coe, coe_direction_eq_vsub_set h, Set.mem_vsub] simp only [SetLike.mem_coe, eq_comm] #align affine_subspace.mem_direction_iff_eq_vsub AffineSubspace.mem_direction_iff_eq_vsub theorem vadd_mem_of_mem_direction {s : AffineSubspace k P} {v : V} (hv : v ∈ s.direction) {p : P} (hp : p ∈ s) : v +ᵥ p ∈ s := by rw [mem_direction_iff_eq_vsub ⟨p, hp⟩] at hv rcases hv with ⟨p1, hp1, p2, hp2, hv⟩ rw [hv] convert s.smul_vsub_vadd_mem 1 hp1 hp2 hp rw [one_smul] exact s.mem_coe k P _ #align affine_subspace.vadd_mem_of_mem_direction AffineSubspace.vadd_mem_of_mem_direction theorem vsub_mem_direction {s : AffineSubspace k P} {p1 p2 : P} (hp1 : p1 ∈ s) (hp2 : p2 ∈ s) : p1 -ᵥ p2 ∈ s.direction := vsub_mem_vectorSpan k hp1 hp2 #align affine_subspace.vsub_mem_direction AffineSubspace.vsub_mem_direction theorem vadd_mem_iff_mem_direction {s : AffineSubspace k P} (v : V) {p : P} (hp : p ∈ s) : v +ᵥ p ∈ s ↔ v ∈ s.direction := ⟨fun h => by simpa using vsub_mem_direction h hp, fun h => vadd_mem_of_mem_direction h hp⟩ #align affine_subspace.vadd_mem_iff_mem_direction AffineSubspace.vadd_mem_iff_mem_direction theorem vadd_mem_iff_mem_of_mem_direction {s : AffineSubspace k P} {v : V} (hv : v ∈ s.direction) {p : P} : v +ᵥ p ∈ s ↔ p ∈ s := by refine ⟨fun h => ?_, fun h => vadd_mem_of_mem_direction hv h⟩ convert vadd_mem_of_mem_direction (Submodule.neg_mem _ hv) h simp #align affine_subspace.vadd_mem_iff_mem_of_mem_direction AffineSubspace.vadd_mem_iff_mem_of_mem_direction theorem coe_direction_eq_vsub_set_right {s : AffineSubspace k P} {p : P} (hp : p ∈ s) : (s.direction : Set V) = (· -ᵥ p) '' s := by rw [coe_direction_eq_vsub_set ⟨p, hp⟩] refine le_antisymm ?_ ?_ · rintro v ⟨p1, hp1, p2, hp2, rfl⟩ exact ⟨p1 -ᵥ p2 +ᵥ p, vadd_mem_of_mem_direction (vsub_mem_direction hp1 hp2) hp, vadd_vsub _ _⟩ · rintro v ⟨p2, hp2, rfl⟩ exact ⟨p2, hp2, p, hp, rfl⟩ #align affine_subspace.coe_direction_eq_vsub_set_right AffineSubspace.coe_direction_eq_vsub_set_right theorem coe_direction_eq_vsub_set_left {s : AffineSubspace k P} {p : P} (hp : p ∈ s) : (s.direction : Set V) = (p -ᵥ ·) '' s := by ext v rw [SetLike.mem_coe, ← Submodule.neg_mem_iff, ← SetLike.mem_coe, coe_direction_eq_vsub_set_right hp, Set.mem_image, Set.mem_image] conv_lhs => congr ext rw [← neg_vsub_eq_vsub_rev, neg_inj] #align affine_subspace.coe_direction_eq_vsub_set_left AffineSubspace.coe_direction_eq_vsub_set_left theorem mem_direction_iff_eq_vsub_right {s : AffineSubspace k P} {p : P} (hp : p ∈ s) (v : V) : v ∈ s.direction ↔ ∃ p2 ∈ s, v = p2 -ᵥ p := by rw [← SetLike.mem_coe, coe_direction_eq_vsub_set_right hp] exact ⟨fun ⟨p2, hp2, hv⟩ => ⟨p2, hp2, hv.symm⟩, fun ⟨p2, hp2, hv⟩ => ⟨p2, hp2, hv.symm⟩⟩ #align affine_subspace.mem_direction_iff_eq_vsub_right AffineSubspace.mem_direction_iff_eq_vsub_right theorem mem_direction_iff_eq_vsub_left {s : AffineSubspace k P} {p : P} (hp : p ∈ s) (v : V) : v ∈ s.direction ↔ ∃ p2 ∈ s, v = p -ᵥ p2 := by rw [← SetLike.mem_coe, coe_direction_eq_vsub_set_left hp] exact ⟨fun ⟨p2, hp2, hv⟩ => ⟨p2, hp2, hv.symm⟩, fun ⟨p2, hp2, hv⟩ => ⟨p2, hp2, hv.symm⟩⟩ #align affine_subspace.mem_direction_iff_eq_vsub_left AffineSubspace.mem_direction_iff_eq_vsub_left theorem vsub_right_mem_direction_iff_mem {s : AffineSubspace k P} {p : P} (hp : p ∈ s) (p2 : P) : p2 -ᵥ p ∈ s.direction ↔ p2 ∈ s := by rw [mem_direction_iff_eq_vsub_right hp] simp #align affine_subspace.vsub_right_mem_direction_iff_mem AffineSubspace.vsub_right_mem_direction_iff_mem
Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean
332
335
theorem vsub_left_mem_direction_iff_mem {s : AffineSubspace k P} {p : P} (hp : p ∈ s) (p2 : P) : p -ᵥ p2 ∈ s.direction ↔ p2 ∈ s := by
rw [mem_direction_iff_eq_vsub_left hp] simp
import Mathlib.Analysis.Convex.StrictConvexBetween import Mathlib.Geometry.Euclidean.Basic #align_import geometry.euclidean.sphere.basic from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5" noncomputable section open RealInnerProductSpace namespace EuclideanGeometry variable {V : Type*} (P : Type*) open FiniteDimensional @[ext] structure Sphere [MetricSpace P] where center : P radius : ℝ #align euclidean_geometry.sphere EuclideanGeometry.Sphere variable {P} section MetricSpace variable [MetricSpace P] instance [Nonempty P] : Nonempty (Sphere P) := ⟨⟨Classical.arbitrary P, 0⟩⟩ instance : Coe (Sphere P) (Set P) := ⟨fun s => Metric.sphere s.center s.radius⟩ instance : Membership P (Sphere P) := ⟨fun p s => p ∈ (s : Set P)⟩ theorem Sphere.mk_center (c : P) (r : ℝ) : (⟨c, r⟩ : Sphere P).center = c := rfl #align euclidean_geometry.sphere.mk_center EuclideanGeometry.Sphere.mk_center theorem Sphere.mk_radius (c : P) (r : ℝ) : (⟨c, r⟩ : Sphere P).radius = r := rfl #align euclidean_geometry.sphere.mk_radius EuclideanGeometry.Sphere.mk_radius @[simp] theorem Sphere.mk_center_radius (s : Sphere P) : (⟨s.center, s.radius⟩ : Sphere P) = s := by ext <;> rfl #align euclidean_geometry.sphere.mk_center_radius EuclideanGeometry.Sphere.mk_center_radius #noalign euclidean_geometry.sphere.coe_def @[simp] theorem Sphere.coe_mk (c : P) (r : ℝ) : ↑(⟨c, r⟩ : Sphere P) = Metric.sphere c r := rfl #align euclidean_geometry.sphere.coe_mk EuclideanGeometry.Sphere.coe_mk -- @[simp] -- Porting note: simp-normal form is `Sphere.mem_coe'` theorem Sphere.mem_coe {p : P} {s : Sphere P} : p ∈ (s : Set P) ↔ p ∈ s := Iff.rfl #align euclidean_geometry.sphere.mem_coe EuclideanGeometry.Sphere.mem_coe @[simp] theorem Sphere.mem_coe' {p : P} {s : Sphere P} : dist p s.center = s.radius ↔ p ∈ s := Iff.rfl theorem mem_sphere {p : P} {s : Sphere P} : p ∈ s ↔ dist p s.center = s.radius := Iff.rfl #align euclidean_geometry.mem_sphere EuclideanGeometry.mem_sphere theorem mem_sphere' {p : P} {s : Sphere P} : p ∈ s ↔ dist s.center p = s.radius := Metric.mem_sphere' #align euclidean_geometry.mem_sphere' EuclideanGeometry.mem_sphere' theorem subset_sphere {ps : Set P} {s : Sphere P} : ps ⊆ s ↔ ∀ p ∈ ps, p ∈ s := Iff.rfl #align euclidean_geometry.subset_sphere EuclideanGeometry.subset_sphere theorem dist_of_mem_subset_sphere {p : P} {ps : Set P} {s : Sphere P} (hp : p ∈ ps) (hps : ps ⊆ (s : Set P)) : dist p s.center = s.radius := mem_sphere.1 (Sphere.mem_coe.1 (Set.mem_of_mem_of_subset hp hps)) #align euclidean_geometry.dist_of_mem_subset_sphere EuclideanGeometry.dist_of_mem_subset_sphere theorem dist_of_mem_subset_mk_sphere {p c : P} {ps : Set P} {r : ℝ} (hp : p ∈ ps) (hps : ps ⊆ ↑(⟨c, r⟩ : Sphere P)) : dist p c = r := dist_of_mem_subset_sphere hp hps #align euclidean_geometry.dist_of_mem_subset_mk_sphere EuclideanGeometry.dist_of_mem_subset_mk_sphere
Mathlib/Geometry/Euclidean/Sphere/Basic.lean
119
121
theorem Sphere.ne_iff {s₁ s₂ : Sphere P} : s₁ ≠ s₂ ↔ s₁.center ≠ s₂.center ∨ s₁.radius ≠ s₂.radius := by
rw [← not_and_or, ← Sphere.ext_iff]
import Mathlib.CategoryTheory.Monoidal.Braided.Basic import Mathlib.Algebra.Category.ModuleCat.Monoidal.Basic #align_import algebra.category.Module.monoidal.symmetric from "leanprover-community/mathlib"@"74403a3b2551b0970855e14ef5e8fd0d6af1bfc2" suppress_compilation universe v w x u open CategoryTheory MonoidalCategory namespace ModuleCat variable {R : Type u} [CommRing R] def braiding (M N : ModuleCat.{u} R) : M ⊗ N ≅ N ⊗ M := LinearEquiv.toModuleIso (TensorProduct.comm R M N) set_option linter.uppercaseLean3 false in #align Module.braiding ModuleCat.braiding namespace MonoidalCategory @[simp] theorem braiding_naturality {X₁ X₂ Y₁ Y₂ : ModuleCat.{u} R} (f : X₁ ⟶ Y₁) (g : X₂ ⟶ Y₂) : (f ⊗ g) ≫ (Y₁.braiding Y₂).hom = (X₁.braiding X₂).hom ≫ (g ⊗ f) := by apply TensorProduct.ext' intro x y rfl set_option linter.uppercaseLean3 false in #align Module.monoidal_category.braiding_naturality ModuleCat.MonoidalCategory.braiding_naturality @[simp]
Mathlib/Algebra/Category/ModuleCat/Monoidal/Symmetric.lean
43
46
theorem braiding_naturality_left {X Y : ModuleCat R} (f : X ⟶ Y) (Z : ModuleCat R) : f ▷ Z ≫ (braiding Y Z).hom = (braiding X Z).hom ≫ Z ◁ f := by
simp_rw [← id_tensorHom] apply braiding_naturality
import Mathlib.Algebra.EuclideanDomain.Basic import Mathlib.RingTheory.PrincipalIdealDomain import Mathlib.Algebra.GCDMonoid.Nat #align_import ring_theory.int.basic from "leanprover-community/mathlib"@"e655e4ea5c6d02854696f97494997ba4c31be802" theorem Int.Prime.dvd_mul {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) : p ∣ m.natAbs ∨ p ∣ n.natAbs := by rwa [← hp.dvd_mul, ← Int.natAbs_mul, ← Int.natCast_dvd] #align int.prime.dvd_mul Int.Prime.dvd_mul theorem Int.Prime.dvd_mul' {m n : ℤ} {p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ m * n) : (p : ℤ) ∣ m ∨ (p : ℤ) ∣ n := by rw [Int.natCast_dvd, Int.natCast_dvd] exact Int.Prime.dvd_mul hp h #align int.prime.dvd_mul' Int.Prime.dvd_mul'
Mathlib/RingTheory/Int/Basic.lean
99
102
theorem Int.Prime.dvd_pow {n : ℤ} {k p : ℕ} (hp : Nat.Prime p) (h : (p : ℤ) ∣ n ^ k) : p ∣ n.natAbs := by
rw [Int.natCast_dvd, Int.natAbs_pow] at h exact hp.dvd_of_dvd_pow h
import Mathlib.MeasureTheory.Integral.FundThmCalculus import Mathlib.Analysis.SpecialFunctions.Trigonometric.ArctanDeriv import Mathlib.Analysis.SpecialFunctions.NonIntegrable import Mathlib.Analysis.SpecialFunctions.Pow.Deriv #align_import analysis.special_functions.integrals from "leanprover-community/mathlib"@"011cafb4a5bc695875d186e245d6b3df03bf6c40" open Real Nat Set Finset open scoped Real Interval variable {a b : ℝ} (n : ℕ) namespace intervalIntegral open MeasureTheory variable {f : ℝ → ℝ} {μ ν : Measure ℝ} [IsLocallyFiniteMeasure μ] (c d : ℝ) @[simp] theorem intervalIntegrable_pow : IntervalIntegrable (fun x => x ^ n) μ a b := (continuous_pow n).intervalIntegrable a b #align interval_integral.interval_integrable_pow intervalIntegral.intervalIntegrable_pow theorem intervalIntegrable_zpow {n : ℤ} (h : 0 ≤ n ∨ (0 : ℝ) ∉ [[a, b]]) : IntervalIntegrable (fun x => x ^ n) μ a b := (continuousOn_id.zpow₀ n fun _ hx => h.symm.imp (ne_of_mem_of_not_mem hx) id).intervalIntegrable #align interval_integral.interval_integrable_zpow intervalIntegral.intervalIntegrable_zpow theorem intervalIntegrable_rpow {r : ℝ} (h : 0 ≤ r ∨ (0 : ℝ) ∉ [[a, b]]) : IntervalIntegrable (fun x => x ^ r) μ a b := (continuousOn_id.rpow_const fun _ hx => h.symm.imp (ne_of_mem_of_not_mem hx) id).intervalIntegrable #align interval_integral.interval_integrable_rpow intervalIntegral.intervalIntegrable_rpow theorem intervalIntegrable_rpow' {r : ℝ} (h : -1 < r) : IntervalIntegrable (fun x => x ^ r) volume a b := by suffices ∀ c : ℝ, IntervalIntegrable (fun x => x ^ r) volume 0 c by exact IntervalIntegrable.trans (this a).symm (this b) have : ∀ c : ℝ, 0 ≤ c → IntervalIntegrable (fun x => x ^ r) volume 0 c := by intro c hc rw [intervalIntegrable_iff, uIoc_of_le hc] have hderiv : ∀ x ∈ Ioo 0 c, HasDerivAt (fun x : ℝ => x ^ (r + 1) / (r + 1)) (x ^ r) x := by intro x hx convert (Real.hasDerivAt_rpow_const (p := r + 1) (Or.inl hx.1.ne')).div_const (r + 1) using 1 field_simp [(by linarith : r + 1 ≠ 0)] apply integrableOn_deriv_of_nonneg _ hderiv · intro x hx; apply rpow_nonneg hx.1.le · refine (continuousOn_id.rpow_const ?_).div_const _; intro x _; right; linarith intro c; rcases le_total 0 c with (hc | hc) · exact this c hc · rw [IntervalIntegrable.iff_comp_neg, neg_zero] have m := (this (-c) (by linarith)).smul (cos (r * π)) rw [intervalIntegrable_iff] at m ⊢ refine m.congr_fun ?_ measurableSet_Ioc; intro x hx rw [uIoc_of_le (by linarith : 0 ≤ -c)] at hx simp only [Pi.smul_apply, Algebra.id.smul_eq_mul, log_neg_eq_log, mul_comm, rpow_def_of_pos hx.1, rpow_def_of_neg (by linarith [hx.1] : -x < 0)] #align interval_integral.interval_integrable_rpow' intervalIntegral.intervalIntegrable_rpow' lemma integrableOn_Ioo_rpow_iff {s t : ℝ} (ht : 0 < t) : IntegrableOn (fun x ↦ x ^ s) (Ioo (0 : ℝ) t) ↔ -1 < s := by refine ⟨fun h ↦ ?_, fun h ↦ by simpa [intervalIntegrable_iff_integrableOn_Ioo_of_le ht.le] using intervalIntegrable_rpow' h (a := 0) (b := t)⟩ contrapose! h intro H have I : 0 < min 1 t := lt_min zero_lt_one ht have H' : IntegrableOn (fun x ↦ x ^ s) (Ioo 0 (min 1 t)) := H.mono (Set.Ioo_subset_Ioo le_rfl (min_le_right _ _)) le_rfl have : IntegrableOn (fun x ↦ x⁻¹) (Ioo 0 (min 1 t)) := by apply H'.mono' measurable_inv.aestronglyMeasurable filter_upwards [ae_restrict_mem measurableSet_Ioo] with x hx simp only [norm_inv, Real.norm_eq_abs, abs_of_nonneg (le_of_lt hx.1)] rwa [← Real.rpow_neg_one x, Real.rpow_le_rpow_left_iff_of_base_lt_one hx.1] exact lt_of_lt_of_le hx.2 (min_le_left _ _) have : IntervalIntegrable (fun x ↦ x⁻¹) volume 0 (min 1 t) := by rwa [intervalIntegrable_iff_integrableOn_Ioo_of_le I.le] simp [intervalIntegrable_inv_iff, I.ne] at this
Mathlib/Analysis/SpecialFunctions/Integrals.lean
120
164
theorem intervalIntegrable_cpow {r : ℂ} (h : 0 ≤ r.re ∨ (0 : ℝ) ∉ [[a, b]]) : IntervalIntegrable (fun x : ℝ => (x : ℂ) ^ r) μ a b := by
by_cases h2 : (0 : ℝ) ∉ [[a, b]] · -- Easy case #1: 0 ∉ [a, b] -- use continuity. refine (ContinuousAt.continuousOn fun x hx => ?_).intervalIntegrable exact Complex.continuousAt_ofReal_cpow_const _ _ (Or.inr <| ne_of_mem_of_not_mem hx h2) rw [eq_false h2, or_false_iff] at h rcases lt_or_eq_of_le h with (h' | h') · -- Easy case #2: 0 < re r -- again use continuity exact (Complex.continuous_ofReal_cpow_const h').intervalIntegrable _ _ -- Now the hard case: re r = 0 and 0 is in the interval. refine (IntervalIntegrable.intervalIntegrable_norm_iff ?_).mp ?_ · refine (measurable_of_continuousOn_compl_singleton (0 : ℝ) ?_).aestronglyMeasurable exact ContinuousAt.continuousOn fun x hx => Complex.continuousAt_ofReal_cpow_const x r (Or.inr hx) -- reduce to case of integral over `[0, c]` suffices ∀ c : ℝ, IntervalIntegrable (fun x : ℝ => ‖(x:ℂ) ^ r‖) μ 0 c from (this a).symm.trans (this b) intro c rcases le_or_lt 0 c with (hc | hc) · -- case `0 ≤ c`: integrand is identically 1 have : IntervalIntegrable (fun _ => 1 : ℝ → ℝ) μ 0 c := intervalIntegrable_const rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hc] at this ⊢ refine IntegrableOn.congr_fun this (fun x hx => ?_) measurableSet_Ioc dsimp only rw [Complex.norm_eq_abs, Complex.abs_cpow_eq_rpow_re_of_pos hx.1, ← h', rpow_zero] · -- case `c < 0`: integrand is identically constant, *except* at `x = 0` if `r ≠ 0`. apply IntervalIntegrable.symm rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hc.le] have : Ioc c 0 = Ioo c 0 ∪ {(0 : ℝ)} := by rw [← Ioo_union_Icc_eq_Ioc hc (le_refl 0), ← Icc_def] simp_rw [← le_antisymm_iff, setOf_eq_eq_singleton'] rw [this, integrableOn_union, and_comm]; constructor · refine integrableOn_singleton_iff.mpr (Or.inr ?_) exact isFiniteMeasureOnCompacts_of_isLocallyFiniteMeasure.lt_top_of_isCompact isCompact_singleton · have : ∀ x : ℝ, x ∈ Ioo c 0 → ‖Complex.exp (↑π * Complex.I * r)‖ = ‖(x : ℂ) ^ r‖ := by intro x hx rw [Complex.ofReal_cpow_of_nonpos hx.2.le, norm_mul, ← Complex.ofReal_neg, Complex.norm_eq_abs (_ ^ _), Complex.abs_cpow_eq_rpow_re_of_pos (neg_pos.mpr hx.2), ← h', rpow_zero, one_mul] refine IntegrableOn.congr_fun ?_ this measurableSet_Ioo rw [integrableOn_const] refine Or.inr ((measure_mono Set.Ioo_subset_Icc_self).trans_lt ?_) exact isFiniteMeasureOnCompacts_of_isLocallyFiniteMeasure.lt_top_of_isCompact isCompact_Icc
import Mathlib.Geometry.RingedSpace.PresheafedSpace import Mathlib.CategoryTheory.Limits.Final import Mathlib.Topology.Sheaves.Stalks #align_import algebraic_geometry.stalks from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc" noncomputable section universe v u v' u' open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits AlgebraicGeometry TopologicalSpace variable {C : Type u} [Category.{v} C] [HasColimits C] -- Porting note: no tidy tactic -- attribute [local tidy] tactic.auto_cases_opens -- this could be replaced by -- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens -- but it doesn't appear to be needed here. open TopCat.Presheaf namespace AlgebraicGeometry.PresheafedSpace abbrev stalk (X : PresheafedSpace C) (x : X) : C := X.presheaf.stalk x set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk AlgebraicGeometry.PresheafedSpace.stalk def stalkMap {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (x : X) : Y.stalk (α.base x) ⟶ X.stalk x := (stalkFunctor C (α.base x)).map α.c ≫ X.presheaf.stalkPushforward C α.base x set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map AlgebraicGeometry.PresheafedSpace.stalkMap @[elementwise, reassoc] theorem stalkMap_germ {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y) (x : (Opens.map α.base).obj U) : Y.presheaf.germ ⟨α.base x.1, x.2⟩ ≫ stalkMap α ↑x = α.c.app (op U) ≫ X.presheaf.germ x := by rw [stalkMap, stalkFunctor_map_germ_assoc, stalkPushforward_germ] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map_germ AlgebraicGeometry.PresheafedSpace.stalkMap_germ @[simp, elementwise, reassoc] theorem stalkMap_germ' {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y) (x : X) (hx : α.base x ∈ U) : Y.presheaf.germ ⟨α.base x, hx⟩ ≫ stalkMap α x = α.c.app (op U) ≫ X.presheaf.germ (U := (Opens.map α.base).obj U) ⟨x, hx⟩ := PresheafedSpace.stalkMap_germ α U ⟨x, hx⟩ namespace stalkMap @[simp] theorem id (X : PresheafedSpace.{_, _, v} C) (x : X) : stalkMap (𝟙 X) x = 𝟙 (X.stalk x) := by dsimp [stalkMap] simp only [stalkPushforward.id] erw [← map_comp] convert (stalkFunctor C x).map_id X.presheaf ext simp only [id_c, id_comp, Pushforward.id_hom_app, op_obj, eqToHom_refl, map_id] rfl set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map.id AlgebraicGeometry.PresheafedSpace.stalkMap.id @[simp] theorem comp {X Y Z : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (β : Y ⟶ Z) (x : X) : stalkMap (α ≫ β) x = (stalkMap β (α.base x) : Z.stalk (β.base (α.base x)) ⟶ Y.stalk (α.base x)) ≫ (stalkMap α x : Y.stalk (α.base x) ⟶ X.stalk x) := by dsimp [stalkMap, stalkFunctor, stalkPushforward] -- We can't use `ext` here due to https://github.com/leanprover/std4/pull/159 refine colimit.hom_ext fun U => ?_ induction U with | h U => ?_ cases U simp only [whiskeringLeft_obj_obj, comp_obj, op_obj, unop_op, OpenNhds.inclusion_obj, ι_colimMap_assoc, pushforwardObj_obj, Opens.map_comp_obj, whiskerLeft_app, comp_c_app, OpenNhds.map_obj, whiskerRight_app, NatTrans.id_app, map_id, colimit.ι_pre, id_comp, assoc, colimit.ι_pre_assoc] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map.comp AlgebraicGeometry.PresheafedSpace.stalkMap.comp theorem congr {X Y : PresheafedSpace.{_, _, v} C} (α β : X ⟶ Y) (h₁ : α = β) (x x' : X) (h₂ : x = x') : stalkMap α x ≫ eqToHom (show X.stalk x = X.stalk x' by rw [h₂]) = eqToHom (show Y.stalk (α.base x) = Y.stalk (β.base x') by rw [h₁, h₂]) ≫ stalkMap β x' := by ext substs h₁ h₂ simp set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map.congr AlgebraicGeometry.PresheafedSpace.stalkMap.congr theorem congr_hom {X Y : PresheafedSpace.{_, _, v} C} (α β : X ⟶ Y) (h : α = β) (x : X) : stalkMap α x = eqToHom (show Y.stalk (α.base x) = Y.stalk (β.base x) by rw [h]) ≫ stalkMap β x := by rw [← stalkMap.congr α β h x x rfl, eqToHom_refl, Category.comp_id] set_option linter.uppercaseLean3 false in #align algebraic_geometry.PresheafedSpace.stalk_map.congr_hom AlgebraicGeometry.PresheafedSpace.stalkMap.congr_hom
Mathlib/Geometry/RingedSpace/Stalks.lean
188
192
theorem congr_point {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (x x' : X) (h : x = x') : stalkMap α x ≫ eqToHom (show X.stalk x = X.stalk x' by rw [h]) = eqToHom (show Y.stalk (α.base x) = Y.stalk (α.base x') by rw [h]) ≫ stalkMap α x' := by
rw [stalkMap.congr α α rfl x x' h]
import Mathlib.Topology.Separation import Mathlib.Topology.UniformSpace.Basic import Mathlib.Topology.UniformSpace.Cauchy #align_import topology.uniform_space.uniform_convergence from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9" noncomputable section open Topology Uniformity Filter Set universe u v w x variable {α : Type u} {β : Type v} {γ : Type w} {ι : Type x} [UniformSpace β] variable {F : ι → α → β} {f : α → β} {s s' : Set α} {x : α} {p : Filter ι} {p' : Filter α} {g : ι → α} def TendstoUniformlyOnFilter (F : ι → α → β) (f : α → β) (p : Filter ι) (p' : Filter α) := ∀ u ∈ 𝓤 β, ∀ᶠ n : ι × α in p ×ˢ p', (f n.snd, F n.fst n.snd) ∈ u #align tendsto_uniformly_on_filter TendstoUniformlyOnFilter theorem tendstoUniformlyOnFilter_iff_tendsto : TendstoUniformlyOnFilter F f p p' ↔ Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ p') (𝓤 β) := Iff.rfl #align tendsto_uniformly_on_filter_iff_tendsto tendstoUniformlyOnFilter_iff_tendsto def TendstoUniformlyOn (F : ι → α → β) (f : α → β) (p : Filter ι) (s : Set α) := ∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, x ∈ s → (f x, F n x) ∈ u #align tendsto_uniformly_on TendstoUniformlyOn theorem tendstoUniformlyOn_iff_tendstoUniformlyOnFilter : TendstoUniformlyOn F f p s ↔ TendstoUniformlyOnFilter F f p (𝓟 s) := by simp only [TendstoUniformlyOn, TendstoUniformlyOnFilter] apply forall₂_congr simp_rw [eventually_prod_principal_iff] simp #align tendsto_uniformly_on_iff_tendsto_uniformly_on_filter tendstoUniformlyOn_iff_tendstoUniformlyOnFilter alias ⟨TendstoUniformlyOn.tendstoUniformlyOnFilter, TendstoUniformlyOnFilter.tendstoUniformlyOn⟩ := tendstoUniformlyOn_iff_tendstoUniformlyOnFilter #align tendsto_uniformly_on.tendsto_uniformly_on_filter TendstoUniformlyOn.tendstoUniformlyOnFilter #align tendsto_uniformly_on_filter.tendsto_uniformly_on TendstoUniformlyOnFilter.tendstoUniformlyOn theorem tendstoUniformlyOn_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} {s : Set α} : TendstoUniformlyOn F f p s ↔ Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ 𝓟 s) (𝓤 β) := by simp [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto] #align tendsto_uniformly_on_iff_tendsto tendstoUniformlyOn_iff_tendsto def TendstoUniformly (F : ι → α → β) (f : α → β) (p : Filter ι) := ∀ u ∈ 𝓤 β, ∀ᶠ n in p, ∀ x : α, (f x, F n x) ∈ u #align tendsto_uniformly TendstoUniformly -- Porting note: moved from below theorem tendstoUniformlyOn_univ : TendstoUniformlyOn F f p univ ↔ TendstoUniformly F f p := by simp [TendstoUniformlyOn, TendstoUniformly] #align tendsto_uniformly_on_univ tendstoUniformlyOn_univ theorem tendstoUniformly_iff_tendstoUniformlyOnFilter : TendstoUniformly F f p ↔ TendstoUniformlyOnFilter F f p ⊤ := by rw [← tendstoUniformlyOn_univ, tendstoUniformlyOn_iff_tendstoUniformlyOnFilter, principal_univ] #align tendsto_uniformly_iff_tendsto_uniformly_on_filter tendstoUniformly_iff_tendstoUniformlyOnFilter theorem TendstoUniformly.tendstoUniformlyOnFilter (h : TendstoUniformly F f p) : TendstoUniformlyOnFilter F f p ⊤ := by rwa [← tendstoUniformly_iff_tendstoUniformlyOnFilter] #align tendsto_uniformly.tendsto_uniformly_on_filter TendstoUniformly.tendstoUniformlyOnFilter theorem tendstoUniformlyOn_iff_tendstoUniformly_comp_coe : TendstoUniformlyOn F f p s ↔ TendstoUniformly (fun i (x : s) => F i x) (f ∘ (↑)) p := forall₂_congr fun u _ => by simp #align tendsto_uniformly_on_iff_tendsto_uniformly_comp_coe tendstoUniformlyOn_iff_tendstoUniformly_comp_coe theorem tendstoUniformly_iff_tendsto {F : ι → α → β} {f : α → β} {p : Filter ι} : TendstoUniformly F f p ↔ Tendsto (fun q : ι × α => (f q.2, F q.1 q.2)) (p ×ˢ ⊤) (𝓤 β) := by simp [tendstoUniformly_iff_tendstoUniformlyOnFilter, tendstoUniformlyOnFilter_iff_tendsto] #align tendsto_uniformly_iff_tendsto tendstoUniformly_iff_tendsto theorem TendstoUniformlyOnFilter.tendsto_at (h : TendstoUniformlyOnFilter F f p p') (hx : 𝓟 {x} ≤ p') : Tendsto (fun n => F n x) p <| 𝓝 (f x) := by refine Uniform.tendsto_nhds_right.mpr fun u hu => mem_map.mpr ?_ filter_upwards [(h u hu).curry] intro i h simpa using h.filter_mono hx #align tendsto_uniformly_on_filter.tendsto_at TendstoUniformlyOnFilter.tendsto_at theorem TendstoUniformlyOn.tendsto_at (h : TendstoUniformlyOn F f p s) {x : α} (hx : x ∈ s) : Tendsto (fun n => F n x) p <| 𝓝 (f x) := h.tendstoUniformlyOnFilter.tendsto_at (le_principal_iff.mpr <| mem_principal.mpr <| singleton_subset_iff.mpr <| hx) #align tendsto_uniformly_on.tendsto_at TendstoUniformlyOn.tendsto_at theorem TendstoUniformly.tendsto_at (h : TendstoUniformly F f p) (x : α) : Tendsto (fun n => F n x) p <| 𝓝 (f x) := h.tendstoUniformlyOnFilter.tendsto_at le_top #align tendsto_uniformly.tendsto_at TendstoUniformly.tendsto_at -- Porting note: tendstoUniformlyOn_univ moved up theorem TendstoUniformlyOnFilter.mono_left {p'' : Filter ι} (h : TendstoUniformlyOnFilter F f p p') (hp : p'' ≤ p) : TendstoUniformlyOnFilter F f p'' p' := fun u hu => (h u hu).filter_mono (p'.prod_mono_left hp) #align tendsto_uniformly_on_filter.mono_left TendstoUniformlyOnFilter.mono_left theorem TendstoUniformlyOnFilter.mono_right {p'' : Filter α} (h : TendstoUniformlyOnFilter F f p p') (hp : p'' ≤ p') : TendstoUniformlyOnFilter F f p p'' := fun u hu => (h u hu).filter_mono (p.prod_mono_right hp) #align tendsto_uniformly_on_filter.mono_right TendstoUniformlyOnFilter.mono_right theorem TendstoUniformlyOn.mono {s' : Set α} (h : TendstoUniformlyOn F f p s) (h' : s' ⊆ s) : TendstoUniformlyOn F f p s' := tendstoUniformlyOn_iff_tendstoUniformlyOnFilter.mpr (h.tendstoUniformlyOnFilter.mono_right (le_principal_iff.mpr <| mem_principal.mpr h')) #align tendsto_uniformly_on.mono TendstoUniformlyOn.mono theorem TendstoUniformlyOnFilter.congr {F' : ι → α → β} (hf : TendstoUniformlyOnFilter F f p p') (hff' : ∀ᶠ n : ι × α in p ×ˢ p', F n.fst n.snd = F' n.fst n.snd) : TendstoUniformlyOnFilter F' f p p' := by refine fun u hu => ((hf u hu).and hff').mono fun n h => ?_ rw [← h.right] exact h.left #align tendsto_uniformly_on_filter.congr TendstoUniformlyOnFilter.congr theorem TendstoUniformlyOn.congr {F' : ι → α → β} (hf : TendstoUniformlyOn F f p s) (hff' : ∀ᶠ n in p, Set.EqOn (F n) (F' n) s) : TendstoUniformlyOn F' f p s := by rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at hf ⊢ refine hf.congr ?_ rw [eventually_iff] at hff' ⊢ simp only [Set.EqOn] at hff' simp only [mem_prod_principal, hff', mem_setOf_eq] #align tendsto_uniformly_on.congr TendstoUniformlyOn.congr theorem TendstoUniformlyOn.congr_right {g : α → β} (hf : TendstoUniformlyOn F f p s) (hfg : EqOn f g s) : TendstoUniformlyOn F g p s := fun u hu => by filter_upwards [hf u hu] with i hi a ha using hfg ha ▸ hi a ha #align tendsto_uniformly_on.congr_right TendstoUniformlyOn.congr_right protected theorem TendstoUniformly.tendstoUniformlyOn (h : TendstoUniformly F f p) : TendstoUniformlyOn F f p s := (tendstoUniformlyOn_univ.2 h).mono (subset_univ s) #align tendsto_uniformly.tendsto_uniformly_on TendstoUniformly.tendstoUniformlyOn theorem TendstoUniformlyOnFilter.comp (h : TendstoUniformlyOnFilter F f p p') (g : γ → α) : TendstoUniformlyOnFilter (fun n => F n ∘ g) (f ∘ g) p (p'.comap g) := by rw [tendstoUniformlyOnFilter_iff_tendsto] at h ⊢ exact h.comp (tendsto_id.prod_map tendsto_comap) #align tendsto_uniformly_on_filter.comp TendstoUniformlyOnFilter.comp
Mathlib/Topology/UniformSpace/UniformConvergence.lean
240
243
theorem TendstoUniformlyOn.comp (h : TendstoUniformlyOn F f p s) (g : γ → α) : TendstoUniformlyOn (fun n => F n ∘ g) (f ∘ g) p (g ⁻¹' s) := by
rw [tendstoUniformlyOn_iff_tendstoUniformlyOnFilter] at h ⊢ simpa [TendstoUniformlyOn, comap_principal] using TendstoUniformlyOnFilter.comp h g
import Mathlib.MeasureTheory.Integral.SetToL1 #align_import measure_theory.integral.bochner from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4" assert_not_exists Differentiable noncomputable section open scoped Topology NNReal ENNReal MeasureTheory open Set Filter TopologicalSpace ENNReal EMetric namespace MeasureTheory variable {α E F 𝕜 : Type*} section WeightedSMul open ContinuousLinearMap variable [NormedAddCommGroup F] [NormedSpace ℝ F] {m : MeasurableSpace α} {μ : Measure α} def weightedSMul {_ : MeasurableSpace α} (μ : Measure α) (s : Set α) : F →L[ℝ] F := (μ s).toReal • ContinuousLinearMap.id ℝ F #align measure_theory.weighted_smul MeasureTheory.weightedSMul theorem weightedSMul_apply {m : MeasurableSpace α} (μ : Measure α) (s : Set α) (x : F) : weightedSMul μ s x = (μ s).toReal • x := by simp [weightedSMul] #align measure_theory.weighted_smul_apply MeasureTheory.weightedSMul_apply @[simp] theorem weightedSMul_zero_measure {m : MeasurableSpace α} : weightedSMul (0 : Measure α) = (0 : Set α → F →L[ℝ] F) := by ext1; simp [weightedSMul] #align measure_theory.weighted_smul_zero_measure MeasureTheory.weightedSMul_zero_measure @[simp] theorem weightedSMul_empty {m : MeasurableSpace α} (μ : Measure α) : weightedSMul μ ∅ = (0 : F →L[ℝ] F) := by ext1 x; rw [weightedSMul_apply]; simp #align measure_theory.weighted_smul_empty MeasureTheory.weightedSMul_empty theorem weightedSMul_add_measure {m : MeasurableSpace α} (μ ν : Measure α) {s : Set α} (hμs : μ s ≠ ∞) (hνs : ν s ≠ ∞) : (weightedSMul (μ + ν) s : F →L[ℝ] F) = weightedSMul μ s + weightedSMul ν s := by ext1 x push_cast simp_rw [Pi.add_apply, weightedSMul_apply] push_cast rw [Pi.add_apply, ENNReal.toReal_add hμs hνs, add_smul] #align measure_theory.weighted_smul_add_measure MeasureTheory.weightedSMul_add_measure theorem weightedSMul_smul_measure {m : MeasurableSpace α} (μ : Measure α) (c : ℝ≥0∞) {s : Set α} : (weightedSMul (c • μ) s : F →L[ℝ] F) = c.toReal • weightedSMul μ s := by ext1 x push_cast simp_rw [Pi.smul_apply, weightedSMul_apply] push_cast simp_rw [Pi.smul_apply, smul_eq_mul, toReal_mul, smul_smul] #align measure_theory.weighted_smul_smul_measure MeasureTheory.weightedSMul_smul_measure
Mathlib/MeasureTheory/Integral/Bochner.lean
204
206
theorem weightedSMul_congr (s t : Set α) (hst : μ s = μ t) : (weightedSMul μ s : F →L[ℝ] F) = weightedSMul μ t := by
ext1 x; simp_rw [weightedSMul_apply]; congr 2
import Mathlib.Algebra.Group.Commute.Basic import Mathlib.Data.Fintype.Card import Mathlib.GroupTheory.Perm.Basic #align_import group_theory.perm.support from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853" open Equiv Finset namespace Equiv.Perm variable {α : Type*} section Disjoint def Disjoint (f g : Perm α) := ∀ x, f x = x ∨ g x = x #align equiv.perm.disjoint Equiv.Perm.Disjoint variable {f g h : Perm α} @[symm]
Mathlib/GroupTheory/Perm/Support.lean
50
50
theorem Disjoint.symm : Disjoint f g → Disjoint g f := by
simp only [Disjoint, or_comm, imp_self]
import Mathlib.Order.Interval.Set.UnorderedInterval import Mathlib.Algebra.Order.Interval.Set.Monoid import Mathlib.Data.Set.Pointwise.Basic import Mathlib.Algebra.Order.Field.Basic import Mathlib.Algebra.Order.Group.MinMax #align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2" open Interval Pointwise variable {α : Type*} namespace Set section OrderedAddCommGroup variable [OrderedAddCommGroup α] (a b c : α) @[simp] theorem preimage_const_add_Ici : (fun x => a + x) ⁻¹' Ici b = Ici (b - a) := ext fun _x => sub_le_iff_le_add'.symm #align set.preimage_const_add_Ici Set.preimage_const_add_Ici @[simp] theorem preimage_const_add_Ioi : (fun x => a + x) ⁻¹' Ioi b = Ioi (b - a) := ext fun _x => sub_lt_iff_lt_add'.symm #align set.preimage_const_add_Ioi Set.preimage_const_add_Ioi @[simp] theorem preimage_const_add_Iic : (fun x => a + x) ⁻¹' Iic b = Iic (b - a) := ext fun _x => le_sub_iff_add_le'.symm #align set.preimage_const_add_Iic Set.preimage_const_add_Iic @[simp] theorem preimage_const_add_Iio : (fun x => a + x) ⁻¹' Iio b = Iio (b - a) := ext fun _x => lt_sub_iff_add_lt'.symm #align set.preimage_const_add_Iio Set.preimage_const_add_Iio @[simp] theorem preimage_const_add_Icc : (fun x => a + x) ⁻¹' Icc b c = Icc (b - a) (c - a) := by simp [← Ici_inter_Iic] #align set.preimage_const_add_Icc Set.preimage_const_add_Icc @[simp] theorem preimage_const_add_Ico : (fun x => a + x) ⁻¹' Ico b c = Ico (b - a) (c - a) := by simp [← Ici_inter_Iio] #align set.preimage_const_add_Ico Set.preimage_const_add_Ico @[simp] theorem preimage_const_add_Ioc : (fun x => a + x) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by simp [← Ioi_inter_Iic] #align set.preimage_const_add_Ioc Set.preimage_const_add_Ioc @[simp] theorem preimage_const_add_Ioo : (fun x => a + x) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by simp [← Ioi_inter_Iio] #align set.preimage_const_add_Ioo Set.preimage_const_add_Ioo @[simp] theorem preimage_add_const_Ici : (fun x => x + a) ⁻¹' Ici b = Ici (b - a) := ext fun _x => sub_le_iff_le_add.symm #align set.preimage_add_const_Ici Set.preimage_add_const_Ici @[simp] theorem preimage_add_const_Ioi : (fun x => x + a) ⁻¹' Ioi b = Ioi (b - a) := ext fun _x => sub_lt_iff_lt_add.symm #align set.preimage_add_const_Ioi Set.preimage_add_const_Ioi @[simp] theorem preimage_add_const_Iic : (fun x => x + a) ⁻¹' Iic b = Iic (b - a) := ext fun _x => le_sub_iff_add_le.symm #align set.preimage_add_const_Iic Set.preimage_add_const_Iic @[simp] theorem preimage_add_const_Iio : (fun x => x + a) ⁻¹' Iio b = Iio (b - a) := ext fun _x => lt_sub_iff_add_lt.symm #align set.preimage_add_const_Iio Set.preimage_add_const_Iio @[simp] theorem preimage_add_const_Icc : (fun x => x + a) ⁻¹' Icc b c = Icc (b - a) (c - a) := by simp [← Ici_inter_Iic] #align set.preimage_add_const_Icc Set.preimage_add_const_Icc @[simp] theorem preimage_add_const_Ico : (fun x => x + a) ⁻¹' Ico b c = Ico (b - a) (c - a) := by simp [← Ici_inter_Iio] #align set.preimage_add_const_Ico Set.preimage_add_const_Ico @[simp] theorem preimage_add_const_Ioc : (fun x => x + a) ⁻¹' Ioc b c = Ioc (b - a) (c - a) := by simp [← Ioi_inter_Iic] #align set.preimage_add_const_Ioc Set.preimage_add_const_Ioc @[simp] theorem preimage_add_const_Ioo : (fun x => x + a) ⁻¹' Ioo b c = Ioo (b - a) (c - a) := by simp [← Ioi_inter_Iio] #align set.preimage_add_const_Ioo Set.preimage_add_const_Ioo @[simp] theorem preimage_neg_Ici : -Ici a = Iic (-a) := ext fun _x => le_neg #align set.preimage_neg_Ici Set.preimage_neg_Ici @[simp] theorem preimage_neg_Iic : -Iic a = Ici (-a) := ext fun _x => neg_le #align set.preimage_neg_Iic Set.preimage_neg_Iic @[simp] theorem preimage_neg_Ioi : -Ioi a = Iio (-a) := ext fun _x => lt_neg #align set.preimage_neg_Ioi Set.preimage_neg_Ioi @[simp] theorem preimage_neg_Iio : -Iio a = Ioi (-a) := ext fun _x => neg_lt #align set.preimage_neg_Iio Set.preimage_neg_Iio @[simp] theorem preimage_neg_Icc : -Icc a b = Icc (-b) (-a) := by simp [← Ici_inter_Iic, inter_comm] #align set.preimage_neg_Icc Set.preimage_neg_Icc @[simp] theorem preimage_neg_Ico : -Ico a b = Ioc (-b) (-a) := by simp [← Ici_inter_Iio, ← Ioi_inter_Iic, inter_comm] #align set.preimage_neg_Ico Set.preimage_neg_Ico @[simp]
Mathlib/Data/Set/Pointwise/Interval.lean
246
247
theorem preimage_neg_Ioc : -Ioc a b = Ico (-b) (-a) := by
simp [← Ioi_inter_Iic, ← Ici_inter_Iio, inter_comm]
import Mathlib.Algebra.Order.ZeroLEOne import Mathlib.Data.List.InsertNth import Mathlib.Logic.Relation import Mathlib.Logic.Small.Defs import Mathlib.Order.GameAdd #align_import set_theory.game.pgame from "leanprover-community/mathlib"@"8900d545017cd21961daa2a1734bb658ef52c618" set_option autoImplicit true namespace SetTheory open Function Relation -- We'd like to be able to use multi-character auto-implicits in this file. set_option relaxedAutoImplicit true inductive PGame : Type (u + 1) | mk : ∀ α β : Type u, (α → PGame) → (β → PGame) → PGame #align pgame SetTheory.PGame compile_inductive% PGame namespace PGame def LeftMoves : PGame → Type u | mk l _ _ _ => l #align pgame.left_moves SetTheory.PGame.LeftMoves def RightMoves : PGame → Type u | mk _ r _ _ => r #align pgame.right_moves SetTheory.PGame.RightMoves def moveLeft : ∀ g : PGame, LeftMoves g → PGame | mk _l _ L _ => L #align pgame.move_left SetTheory.PGame.moveLeft def moveRight : ∀ g : PGame, RightMoves g → PGame | mk _ _r _ R => R #align pgame.move_right SetTheory.PGame.moveRight @[simp] theorem leftMoves_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).LeftMoves = xl := rfl #align pgame.left_moves_mk SetTheory.PGame.leftMoves_mk @[simp] theorem moveLeft_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).moveLeft = xL := rfl #align pgame.move_left_mk SetTheory.PGame.moveLeft_mk @[simp] theorem rightMoves_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).RightMoves = xr := rfl #align pgame.right_moves_mk SetTheory.PGame.rightMoves_mk @[simp] theorem moveRight_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).moveRight = xR := rfl #align pgame.move_right_mk SetTheory.PGame.moveRight_mk -- TODO define this at the level of games, as well, and perhaps also for finsets of games. def ofLists (L R : List PGame.{u}) : PGame.{u} := mk (ULift (Fin L.length)) (ULift (Fin R.length)) (fun i => L.get i.down) fun j ↦ R.get j.down #align pgame.of_lists SetTheory.PGame.ofLists theorem leftMoves_ofLists (L R : List PGame) : (ofLists L R).LeftMoves = ULift (Fin L.length) := rfl #align pgame.left_moves_of_lists SetTheory.PGame.leftMoves_ofLists theorem rightMoves_ofLists (L R : List PGame) : (ofLists L R).RightMoves = ULift (Fin R.length) := rfl #align pgame.right_moves_of_lists SetTheory.PGame.rightMoves_ofLists def toOfListsLeftMoves {L R : List PGame} : Fin L.length ≃ (ofLists L R).LeftMoves := ((Equiv.cast (leftMoves_ofLists L R).symm).trans Equiv.ulift).symm #align pgame.to_of_lists_left_moves SetTheory.PGame.toOfListsLeftMoves def toOfListsRightMoves {L R : List PGame} : Fin R.length ≃ (ofLists L R).RightMoves := ((Equiv.cast (rightMoves_ofLists L R).symm).trans Equiv.ulift).symm #align pgame.to_of_lists_right_moves SetTheory.PGame.toOfListsRightMoves theorem ofLists_moveLeft {L R : List PGame} (i : Fin L.length) : (ofLists L R).moveLeft (toOfListsLeftMoves i) = L.get i := rfl #align pgame.of_lists_move_left SetTheory.PGame.ofLists_moveLeft @[simp] theorem ofLists_moveLeft' {L R : List PGame} (i : (ofLists L R).LeftMoves) : (ofLists L R).moveLeft i = L.get (toOfListsLeftMoves.symm i) := rfl #align pgame.of_lists_move_left' SetTheory.PGame.ofLists_moveLeft' theorem ofLists_moveRight {L R : List PGame} (i : Fin R.length) : (ofLists L R).moveRight (toOfListsRightMoves i) = R.get i := rfl #align pgame.of_lists_move_right SetTheory.PGame.ofLists_moveRight @[simp] theorem ofLists_moveRight' {L R : List PGame} (i : (ofLists L R).RightMoves) : (ofLists L R).moveRight i = R.get (toOfListsRightMoves.symm i) := rfl #align pgame.of_lists_move_right' SetTheory.PGame.ofLists_moveRight' @[elab_as_elim] def moveRecOn {C : PGame → Sort*} (x : PGame) (IH : ∀ y : PGame, (∀ i, C (y.moveLeft i)) → (∀ j, C (y.moveRight j)) → C y) : C x := x.recOn fun yl yr yL yR => IH (mk yl yr yL yR) #align pgame.move_rec_on SetTheory.PGame.moveRecOn @[mk_iff] inductive IsOption : PGame → PGame → Prop | moveLeft {x : PGame} (i : x.LeftMoves) : IsOption (x.moveLeft i) x | moveRight {x : PGame} (i : x.RightMoves) : IsOption (x.moveRight i) x #align pgame.is_option SetTheory.PGame.IsOption theorem IsOption.mk_left {xl xr : Type u} (xL : xl → PGame) (xR : xr → PGame) (i : xl) : (xL i).IsOption (mk xl xr xL xR) := @IsOption.moveLeft (mk _ _ _ _) i #align pgame.is_option.mk_left SetTheory.PGame.IsOption.mk_left theorem IsOption.mk_right {xl xr : Type u} (xL : xl → PGame) (xR : xr → PGame) (i : xr) : (xR i).IsOption (mk xl xr xL xR) := @IsOption.moveRight (mk _ _ _ _) i #align pgame.is_option.mk_right SetTheory.PGame.IsOption.mk_right theorem wf_isOption : WellFounded IsOption := ⟨fun x => moveRecOn x fun x IHl IHr => Acc.intro x fun y h => by induction' h with _ i _ j · exact IHl i · exact IHr j⟩ #align pgame.wf_is_option SetTheory.PGame.wf_isOption def Subsequent : PGame → PGame → Prop := TransGen IsOption #align pgame.subsequent SetTheory.PGame.Subsequent instance : IsTrans _ Subsequent := inferInstanceAs <| IsTrans _ (TransGen _) @[trans] theorem Subsequent.trans {x y z} : Subsequent x y → Subsequent y z → Subsequent x z := TransGen.trans #align pgame.subsequent.trans SetTheory.PGame.Subsequent.trans theorem wf_subsequent : WellFounded Subsequent := wf_isOption.transGen #align pgame.wf_subsequent SetTheory.PGame.wf_subsequent instance : WellFoundedRelation PGame := ⟨_, wf_subsequent⟩ @[simp] theorem Subsequent.moveLeft {x : PGame} (i : x.LeftMoves) : Subsequent (x.moveLeft i) x := TransGen.single (IsOption.moveLeft i) #align pgame.subsequent.move_left SetTheory.PGame.Subsequent.moveLeft @[simp] theorem Subsequent.moveRight {x : PGame} (j : x.RightMoves) : Subsequent (x.moveRight j) x := TransGen.single (IsOption.moveRight j) #align pgame.subsequent.move_right SetTheory.PGame.Subsequent.moveRight @[simp] theorem Subsequent.mk_left {xl xr} (xL : xl → PGame) (xR : xr → PGame) (i : xl) : Subsequent (xL i) (mk xl xr xL xR) := @Subsequent.moveLeft (mk _ _ _ _) i #align pgame.subsequent.mk_left SetTheory.PGame.Subsequent.mk_left @[simp] theorem Subsequent.mk_right {xl xr} (xL : xl → PGame) (xR : xr → PGame) (j : xr) : Subsequent (xR j) (mk xl xr xL xR) := @Subsequent.moveRight (mk _ _ _ _) j #align pgame.subsequent.mk_right SetTheory.PGame.Subsequent.mk_right macro "pgame_wf_tac" : tactic => `(tactic| solve_by_elim (config := { maxDepth := 8 }) [Prod.Lex.left, Prod.Lex.right, PSigma.Lex.left, PSigma.Lex.right, Subsequent.moveLeft, Subsequent.moveRight, Subsequent.mk_left, Subsequent.mk_right, Subsequent.trans] ) -- Register some consequences of pgame_wf_tac as simp-lemmas for convenience -- (which are applied by default for WF goals) -- This is different from mk_right from the POV of the simplifier, -- because the unifier can't solve `xr =?= RightMoves (mk xl xr xL xR)` at reducible transparency. @[simp] theorem Subsequent.mk_right' (xL : xl → PGame) (xR : xr → PGame) (j : RightMoves (mk xl xr xL xR)) : Subsequent (xR j) (mk xl xr xL xR) := by pgame_wf_tac @[simp] theorem Subsequent.moveRight_mk_left (xL : xl → PGame) (j) : Subsequent ((xL i).moveRight j) (mk xl xr xL xR) := by pgame_wf_tac @[simp] theorem Subsequent.moveRight_mk_right (xR : xr → PGame) (j) : Subsequent ((xR i).moveRight j) (mk xl xr xL xR) := by pgame_wf_tac @[simp] theorem Subsequent.moveLeft_mk_left (xL : xl → PGame) (j) : Subsequent ((xL i).moveLeft j) (mk xl xr xL xR) := by pgame_wf_tac @[simp] theorem Subsequent.moveLeft_mk_right (xR : xr → PGame) (j) : Subsequent ((xR i).moveLeft j) (mk xl xr xL xR) := by pgame_wf_tac -- Porting note: linter claims these lemmas don't simplify? open Subsequent in attribute [nolint simpNF] mk_left mk_right mk_right' moveRight_mk_left moveRight_mk_right moveLeft_mk_left moveLeft_mk_right instance : Zero PGame := ⟨⟨PEmpty, PEmpty, PEmpty.elim, PEmpty.elim⟩⟩ @[simp] theorem zero_leftMoves : LeftMoves 0 = PEmpty := rfl #align pgame.zero_left_moves SetTheory.PGame.zero_leftMoves @[simp] theorem zero_rightMoves : RightMoves 0 = PEmpty := rfl #align pgame.zero_right_moves SetTheory.PGame.zero_rightMoves instance isEmpty_zero_leftMoves : IsEmpty (LeftMoves 0) := instIsEmptyPEmpty #align pgame.is_empty_zero_left_moves SetTheory.PGame.isEmpty_zero_leftMoves instance isEmpty_zero_rightMoves : IsEmpty (RightMoves 0) := instIsEmptyPEmpty #align pgame.is_empty_zero_right_moves SetTheory.PGame.isEmpty_zero_rightMoves instance : Inhabited PGame := ⟨0⟩ instance instOnePGame : One PGame := ⟨⟨PUnit, PEmpty, fun _ => 0, PEmpty.elim⟩⟩ @[simp] theorem one_leftMoves : LeftMoves 1 = PUnit := rfl #align pgame.one_left_moves SetTheory.PGame.one_leftMoves @[simp] theorem one_moveLeft (x) : moveLeft 1 x = 0 := rfl #align pgame.one_move_left SetTheory.PGame.one_moveLeft @[simp] theorem one_rightMoves : RightMoves 1 = PEmpty := rfl #align pgame.one_right_moves SetTheory.PGame.one_rightMoves instance uniqueOneLeftMoves : Unique (LeftMoves 1) := PUnit.unique #align pgame.unique_one_left_moves SetTheory.PGame.uniqueOneLeftMoves instance isEmpty_one_rightMoves : IsEmpty (RightMoves 1) := instIsEmptyPEmpty #align pgame.is_empty_one_right_moves SetTheory.PGame.isEmpty_one_rightMoves instance le : LE PGame := ⟨Sym2.GameAdd.fix wf_isOption fun x y le => (∀ i, ¬le y (x.moveLeft i) (Sym2.GameAdd.snd_fst <| IsOption.moveLeft i)) ∧ ∀ j, ¬le (y.moveRight j) x (Sym2.GameAdd.fst_snd <| IsOption.moveRight j)⟩ def LF (x y : PGame) : Prop := ¬y ≤ x #align pgame.lf SetTheory.PGame.LF @[inherit_doc] scoped infixl:50 " ⧏ " => PGame.LF @[simp] protected theorem not_le {x y : PGame} : ¬x ≤ y ↔ y ⧏ x := Iff.rfl #align pgame.not_le SetTheory.PGame.not_le @[simp] theorem not_lf {x y : PGame} : ¬x ⧏ y ↔ y ≤ x := Classical.not_not #align pgame.not_lf SetTheory.PGame.not_lf theorem _root_.LE.le.not_gf {x y : PGame} : x ≤ y → ¬y ⧏ x := not_lf.2 #align has_le.le.not_gf LE.le.not_gf theorem LF.not_ge {x y : PGame} : x ⧏ y → ¬y ≤ x := id #align pgame.lf.not_ge SetTheory.PGame.LF.not_ge theorem le_iff_forall_lf {x y : PGame} : x ≤ y ↔ (∀ i, x.moveLeft i ⧏ y) ∧ ∀ j, x ⧏ y.moveRight j := by unfold LE.le le simp only rw [Sym2.GameAdd.fix_eq] rfl #align pgame.le_iff_forall_lf SetTheory.PGame.le_iff_forall_lf @[simp] theorem mk_le_mk {xl xr xL xR yl yr yL yR} : mk xl xr xL xR ≤ mk yl yr yL yR ↔ (∀ i, xL i ⧏ mk yl yr yL yR) ∧ ∀ j, mk xl xr xL xR ⧏ yR j := le_iff_forall_lf #align pgame.mk_le_mk SetTheory.PGame.mk_le_mk theorem le_of_forall_lf {x y : PGame} (h₁ : ∀ i, x.moveLeft i ⧏ y) (h₂ : ∀ j, x ⧏ y.moveRight j) : x ≤ y := le_iff_forall_lf.2 ⟨h₁, h₂⟩ #align pgame.le_of_forall_lf SetTheory.PGame.le_of_forall_lf theorem lf_iff_exists_le {x y : PGame} : x ⧏ y ↔ (∃ i, x ≤ y.moveLeft i) ∨ ∃ j, x.moveRight j ≤ y := by rw [LF, le_iff_forall_lf, not_and_or] simp #align pgame.lf_iff_exists_le SetTheory.PGame.lf_iff_exists_le @[simp] theorem mk_lf_mk {xl xr xL xR yl yr yL yR} : mk xl xr xL xR ⧏ mk yl yr yL yR ↔ (∃ i, mk xl xr xL xR ≤ yL i) ∨ ∃ j, xR j ≤ mk yl yr yL yR := lf_iff_exists_le #align pgame.mk_lf_mk SetTheory.PGame.mk_lf_mk theorem le_or_gf (x y : PGame) : x ≤ y ∨ y ⧏ x := by rw [← PGame.not_le] apply em #align pgame.le_or_gf SetTheory.PGame.le_or_gf theorem moveLeft_lf_of_le {x y : PGame} (h : x ≤ y) (i) : x.moveLeft i ⧏ y := (le_iff_forall_lf.1 h).1 i #align pgame.move_left_lf_of_le SetTheory.PGame.moveLeft_lf_of_le alias _root_.LE.le.moveLeft_lf := moveLeft_lf_of_le #align has_le.le.move_left_lf LE.le.moveLeft_lf theorem lf_moveRight_of_le {x y : PGame} (h : x ≤ y) (j) : x ⧏ y.moveRight j := (le_iff_forall_lf.1 h).2 j #align pgame.lf_move_right_of_le SetTheory.PGame.lf_moveRight_of_le alias _root_.LE.le.lf_moveRight := lf_moveRight_of_le #align has_le.le.lf_move_right LE.le.lf_moveRight theorem lf_of_moveRight_le {x y : PGame} {j} (h : x.moveRight j ≤ y) : x ⧏ y := lf_iff_exists_le.2 <| Or.inr ⟨j, h⟩ #align pgame.lf_of_move_right_le SetTheory.PGame.lf_of_moveRight_le theorem lf_of_le_moveLeft {x y : PGame} {i} (h : x ≤ y.moveLeft i) : x ⧏ y := lf_iff_exists_le.2 <| Or.inl ⟨i, h⟩ #align pgame.lf_of_le_move_left SetTheory.PGame.lf_of_le_moveLeft theorem lf_of_le_mk {xl xr xL xR y} : mk xl xr xL xR ≤ y → ∀ i, xL i ⧏ y := moveLeft_lf_of_le #align pgame.lf_of_le_mk SetTheory.PGame.lf_of_le_mk theorem lf_of_mk_le {x yl yr yL yR} : x ≤ mk yl yr yL yR → ∀ j, x ⧏ yR j := lf_moveRight_of_le #align pgame.lf_of_mk_le SetTheory.PGame.lf_of_mk_le theorem mk_lf_of_le {xl xr y j} (xL) {xR : xr → PGame} : xR j ≤ y → mk xl xr xL xR ⧏ y := @lf_of_moveRight_le (mk _ _ _ _) y j #align pgame.mk_lf_of_le SetTheory.PGame.mk_lf_of_le theorem lf_mk_of_le {x yl yr} {yL : yl → PGame} (yR) {i} : x ≤ yL i → x ⧏ mk yl yr yL yR := @lf_of_le_moveLeft x (mk _ _ _ _) i #align pgame.lf_mk_of_le SetTheory.PGame.lf_mk_of_le private theorem le_trans_aux {x y z : PGame} (h₁ : ∀ {i}, y ≤ z → z ≤ x.moveLeft i → y ≤ x.moveLeft i) (h₂ : ∀ {j}, z.moveRight j ≤ x → x ≤ y → z.moveRight j ≤ y) (hxy : x ≤ y) (hyz : y ≤ z) : x ≤ z := le_of_forall_lf (fun i => PGame.not_le.1 fun h => (h₁ hyz h).not_gf <| hxy.moveLeft_lf i) fun j => PGame.not_le.1 fun h => (h₂ h hxy).not_gf <| hyz.lf_moveRight j instance : Preorder PGame := { PGame.le with le_refl := fun x => by induction' x with _ _ _ _ IHl IHr exact le_of_forall_lf (fun i => lf_of_le_moveLeft (IHl i)) fun i => lf_of_moveRight_le (IHr i) le_trans := by suffices ∀ {x y z : PGame}, (x ≤ y → y ≤ z → x ≤ z) ∧ (y ≤ z → z ≤ x → y ≤ x) ∧ (z ≤ x → x ≤ y → z ≤ y) from fun x y z => this.1 intro x y z induction' x with xl xr xL xR IHxl IHxr generalizing y z induction' y with yl yr yL yR IHyl IHyr generalizing z induction' z with zl zr zL zR IHzl IHzr exact ⟨le_trans_aux (fun {i} => (IHxl i).2.1) fun {j} => (IHzr j).2.2, le_trans_aux (fun {i} => (IHyl i).2.2) fun {j} => (IHxr j).1, le_trans_aux (fun {i} => (IHzl i).1) fun {j} => (IHyr j).2.1⟩ lt := fun x y => x ≤ y ∧ x ⧏ y } theorem lt_iff_le_and_lf {x y : PGame} : x < y ↔ x ≤ y ∧ x ⧏ y := Iff.rfl #align pgame.lt_iff_le_and_lf SetTheory.PGame.lt_iff_le_and_lf theorem lt_of_le_of_lf {x y : PGame} (h₁ : x ≤ y) (h₂ : x ⧏ y) : x < y := ⟨h₁, h₂⟩ #align pgame.lt_of_le_of_lf SetTheory.PGame.lt_of_le_of_lf theorem lf_of_lt {x y : PGame} (h : x < y) : x ⧏ y := h.2 #align pgame.lf_of_lt SetTheory.PGame.lf_of_lt alias _root_.LT.lt.lf := lf_of_lt #align has_lt.lt.lf LT.lt.lf theorem lf_irrefl (x : PGame) : ¬x ⧏ x := le_rfl.not_gf #align pgame.lf_irrefl SetTheory.PGame.lf_irrefl instance : IsIrrefl _ (· ⧏ ·) := ⟨lf_irrefl⟩ @[trans]
Mathlib/SetTheory/Game/PGame.lean
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theorem lf_of_le_of_lf {x y z : PGame} (h₁ : x ≤ y) (h₂ : y ⧏ z) : x ⧏ z := by
rw [← PGame.not_le] at h₂ ⊢ exact fun h₃ => h₂ (h₃.trans h₁)
import Mathlib.CategoryTheory.Bicategory.Basic import Mathlib.CategoryTheory.Monoidal.Mon_ import Mathlib.CategoryTheory.Limits.Preserves.Shapes.Equalizers #align_import category_theory.monoidal.Bimod from "leanprover-community/mathlib"@"4698e35ca56a0d4fa53aa5639c3364e0a77f4eba" universe v₁ v₂ u₁ u₂ open CategoryTheory open CategoryTheory.MonoidalCategory variable {C : Type u₁} [Category.{v₁} C] [MonoidalCategory.{v₁} C] section open CategoryTheory.Limits variable [HasCoequalizers C] section variable [∀ X : C, PreservesColimitsOfSize.{0, 0} (tensorLeft X)] theorem id_tensor_π_preserves_coequalizer_inv_desc {W X Y Z : C} (f g : X ⟶ Y) (h : Z ⊗ Y ⟶ W) (wh : (Z ◁ f) ≫ h = (Z ◁ g) ≫ h) : (Z ◁ coequalizer.π f g) ≫ (PreservesCoequalizer.iso (tensorLeft Z) f g).inv ≫ coequalizer.desc h wh = h := map_π_preserves_coequalizer_inv_desc (tensorLeft Z) f g h wh #align id_tensor_π_preserves_coequalizer_inv_desc id_tensor_π_preserves_coequalizer_inv_desc theorem id_tensor_π_preserves_coequalizer_inv_colimMap_desc {X Y Z X' Y' Z' : C} (f g : X ⟶ Y) (f' g' : X' ⟶ Y') (p : Z ⊗ X ⟶ X') (q : Z ⊗ Y ⟶ Y') (wf : (Z ◁ f) ≫ q = p ≫ f') (wg : (Z ◁ g) ≫ q = p ≫ g') (h : Y' ⟶ Z') (wh : f' ≫ h = g' ≫ h) : (Z ◁ coequalizer.π f g) ≫ (PreservesCoequalizer.iso (tensorLeft Z) f g).inv ≫ colimMap (parallelPairHom (Z ◁ f) (Z ◁ g) f' g' p q wf wg) ≫ coequalizer.desc h wh = q ≫ h := map_π_preserves_coequalizer_inv_colimMap_desc (tensorLeft Z) f g f' g' p q wf wg h wh #align id_tensor_π_preserves_coequalizer_inv_colim_map_desc id_tensor_π_preserves_coequalizer_inv_colimMap_desc end section variable [∀ X : C, PreservesColimitsOfSize.{0, 0} (tensorRight X)] theorem π_tensor_id_preserves_coequalizer_inv_desc {W X Y Z : C} (f g : X ⟶ Y) (h : Y ⊗ Z ⟶ W) (wh : (f ▷ Z) ≫ h = (g ▷ Z) ≫ h) : (coequalizer.π f g ▷ Z) ≫ (PreservesCoequalizer.iso (tensorRight Z) f g).inv ≫ coequalizer.desc h wh = h := map_π_preserves_coequalizer_inv_desc (tensorRight Z) f g h wh #align π_tensor_id_preserves_coequalizer_inv_desc π_tensor_id_preserves_coequalizer_inv_desc theorem π_tensor_id_preserves_coequalizer_inv_colimMap_desc {X Y Z X' Y' Z' : C} (f g : X ⟶ Y) (f' g' : X' ⟶ Y') (p : X ⊗ Z ⟶ X') (q : Y ⊗ Z ⟶ Y') (wf : (f ▷ Z) ≫ q = p ≫ f') (wg : (g ▷ Z) ≫ q = p ≫ g') (h : Y' ⟶ Z') (wh : f' ≫ h = g' ≫ h) : (coequalizer.π f g ▷ Z) ≫ (PreservesCoequalizer.iso (tensorRight Z) f g).inv ≫ colimMap (parallelPairHom (f ▷ Z) (g ▷ Z) f' g' p q wf wg) ≫ coequalizer.desc h wh = q ≫ h := map_π_preserves_coequalizer_inv_colimMap_desc (tensorRight Z) f g f' g' p q wf wg h wh #align π_tensor_id_preserves_coequalizer_inv_colim_map_desc π_tensor_id_preserves_coequalizer_inv_colimMap_desc end end structure Bimod (A B : Mon_ C) where X : C actLeft : A.X ⊗ X ⟶ X one_actLeft : (A.one ▷ X) ≫ actLeft = (λ_ X).hom := by aesop_cat left_assoc : (A.mul ▷ X) ≫ actLeft = (α_ A.X A.X X).hom ≫ (A.X ◁ actLeft) ≫ actLeft := by aesop_cat actRight : X ⊗ B.X ⟶ X actRight_one : (X ◁ B.one) ≫ actRight = (ρ_ X).hom := by aesop_cat right_assoc : (X ◁ B.mul) ≫ actRight = (α_ X B.X B.X).inv ≫ (actRight ▷ B.X) ≫ actRight := by aesop_cat middle_assoc : (actLeft ▷ B.X) ≫ actRight = (α_ A.X X B.X).hom ≫ (A.X ◁ actRight) ≫ actLeft := by aesop_cat set_option linter.uppercaseLean3 false in #align Bimod Bimod attribute [reassoc (attr := simp)] Bimod.one_actLeft Bimod.actRight_one Bimod.left_assoc Bimod.right_assoc Bimod.middle_assoc namespace Bimod variable {A B : Mon_ C} (M : Bimod A B) @[ext] structure Hom (M N : Bimod A B) where hom : M.X ⟶ N.X left_act_hom : M.actLeft ≫ hom = (A.X ◁ hom) ≫ N.actLeft := by aesop_cat right_act_hom : M.actRight ≫ hom = (hom ▷ B.X) ≫ N.actRight := by aesop_cat set_option linter.uppercaseLean3 false in #align Bimod.hom Bimod.Hom attribute [reassoc (attr := simp)] Hom.left_act_hom Hom.right_act_hom @[simps] def id' (M : Bimod A B) : Hom M M where hom := 𝟙 M.X set_option linter.uppercaseLean3 false in #align Bimod.id' Bimod.id' instance homInhabited (M : Bimod A B) : Inhabited (Hom M M) := ⟨id' M⟩ set_option linter.uppercaseLean3 false in #align Bimod.hom_inhabited Bimod.homInhabited @[simps] def comp {M N O : Bimod A B} (f : Hom M N) (g : Hom N O) : Hom M O where hom := f.hom ≫ g.hom set_option linter.uppercaseLean3 false in #align Bimod.comp Bimod.comp instance : Category (Bimod A B) where Hom M N := Hom M N id := id' comp f g := comp f g -- Porting note: added because `Hom.ext` is not triggered automatically @[ext] lemma hom_ext {M N : Bimod A B} (f g : M ⟶ N) (h : f.hom = g.hom) : f = g := Hom.ext _ _ h @[simp] theorem id_hom' (M : Bimod A B) : (𝟙 M : Hom M M).hom = 𝟙 M.X := rfl set_option linter.uppercaseLean3 false in #align Bimod.id_hom' Bimod.id_hom' @[simp] theorem comp_hom' {M N K : Bimod A B} (f : M ⟶ N) (g : N ⟶ K) : (f ≫ g : Hom M K).hom = f.hom ≫ g.hom := rfl set_option linter.uppercaseLean3 false in #align Bimod.comp_hom' Bimod.comp_hom' @[simps] def isoOfIso {X Y : Mon_ C} {P Q : Bimod X Y} (f : P.X ≅ Q.X) (f_left_act_hom : P.actLeft ≫ f.hom = (X.X ◁ f.hom) ≫ Q.actLeft) (f_right_act_hom : P.actRight ≫ f.hom = (f.hom ▷ Y.X) ≫ Q.actRight) : P ≅ Q where hom := { hom := f.hom } inv := { hom := f.inv left_act_hom := by rw [← cancel_mono f.hom, Category.assoc, Category.assoc, Iso.inv_hom_id, Category.comp_id, f_left_act_hom, ← Category.assoc, ← MonoidalCategory.whiskerLeft_comp, Iso.inv_hom_id, MonoidalCategory.whiskerLeft_id, Category.id_comp] right_act_hom := by rw [← cancel_mono f.hom, Category.assoc, Category.assoc, Iso.inv_hom_id, Category.comp_id, f_right_act_hom, ← Category.assoc, ← comp_whiskerRight, Iso.inv_hom_id, MonoidalCategory.id_whiskerRight, Category.id_comp] } hom_inv_id := by ext; dsimp; rw [Iso.hom_inv_id] inv_hom_id := by ext; dsimp; rw [Iso.inv_hom_id] set_option linter.uppercaseLean3 false in #align Bimod.iso_of_iso Bimod.isoOfIso variable (A) @[simps] def regular : Bimod A A where X := A.X actLeft := A.mul actRight := A.mul set_option linter.uppercaseLean3 false in #align Bimod.regular Bimod.regular instance : Inhabited (Bimod A A) := ⟨regular A⟩ def forget : Bimod A B ⥤ C where obj A := A.X map f := f.hom set_option linter.uppercaseLean3 false in #align Bimod.forget Bimod.forget open CategoryTheory.Limits variable [HasCoequalizers C] namespace TensorBimod variable {R S T : Mon_ C} (P : Bimod R S) (Q : Bimod S T) noncomputable def X : C := coequalizer (P.actRight ▷ Q.X) ((α_ _ _ _).hom ≫ (P.X ◁ Q.actLeft)) set_option linter.uppercaseLean3 false in #align Bimod.tensor_Bimod.X Bimod.TensorBimod.X section variable [∀ X : C, PreservesColimitsOfSize.{0, 0} (tensorLeft X)] noncomputable def actLeft : R.X ⊗ X P Q ⟶ X P Q := (PreservesCoequalizer.iso (tensorLeft R.X) _ _).inv ≫ colimMap (parallelPairHom _ _ _ _ ((α_ _ _ _).inv ≫ ((α_ _ _ _).inv ▷ _) ≫ (P.actLeft ▷ S.X ▷ Q.X)) ((α_ _ _ _).inv ≫ (P.actLeft ▷ Q.X)) (by dsimp simp only [Category.assoc] slice_lhs 1 2 => rw [associator_inv_naturality_middle] slice_rhs 3 4 => rw [← comp_whiskerRight, middle_assoc, comp_whiskerRight] coherence) (by dsimp slice_lhs 1 1 => rw [MonoidalCategory.whiskerLeft_comp] slice_lhs 2 3 => rw [associator_inv_naturality_right] slice_lhs 3 4 => rw [whisker_exchange] coherence)) set_option linter.uppercaseLean3 false in #align Bimod.tensor_Bimod.act_left Bimod.TensorBimod.actLeft
Mathlib/CategoryTheory/Monoidal/Bimod.lean
242
246
theorem whiskerLeft_π_actLeft : (R.X ◁ coequalizer.π _ _) ≫ actLeft P Q = (α_ _ _ _).inv ≫ (P.actLeft ▷ Q.X) ≫ coequalizer.π _ _ := by
erw [map_π_preserves_coequalizer_inv_colimMap (tensorLeft _)] simp only [Category.assoc]
import Mathlib.CategoryTheory.Comma.Over import Mathlib.CategoryTheory.DiscreteCategory import Mathlib.CategoryTheory.EpiMono import Mathlib.CategoryTheory.Limits.Shapes.Terminal #align_import category_theory.limits.shapes.binary_products from "leanprover-community/mathlib"@"fec1d95fc61c750c1ddbb5b1f7f48b8e811a80d7" noncomputable section universe v u u₂ open CategoryTheory namespace CategoryTheory.Limits inductive WalkingPair : Type | left | right deriving DecidableEq, Inhabited #align category_theory.limits.walking_pair CategoryTheory.Limits.WalkingPair open WalkingPair def WalkingPair.swap : WalkingPair ≃ WalkingPair where toFun j := WalkingPair.recOn j right left invFun j := WalkingPair.recOn j right left left_inv j := by cases j; repeat rfl right_inv j := by cases j; repeat rfl #align category_theory.limits.walking_pair.swap CategoryTheory.Limits.WalkingPair.swap @[simp] theorem WalkingPair.swap_apply_left : WalkingPair.swap left = right := rfl #align category_theory.limits.walking_pair.swap_apply_left CategoryTheory.Limits.WalkingPair.swap_apply_left @[simp] theorem WalkingPair.swap_apply_right : WalkingPair.swap right = left := rfl #align category_theory.limits.walking_pair.swap_apply_right CategoryTheory.Limits.WalkingPair.swap_apply_right @[simp] theorem WalkingPair.swap_symm_apply_tt : WalkingPair.swap.symm left = right := rfl #align category_theory.limits.walking_pair.swap_symm_apply_tt CategoryTheory.Limits.WalkingPair.swap_symm_apply_tt @[simp] theorem WalkingPair.swap_symm_apply_ff : WalkingPair.swap.symm right = left := rfl #align category_theory.limits.walking_pair.swap_symm_apply_ff CategoryTheory.Limits.WalkingPair.swap_symm_apply_ff def WalkingPair.equivBool : WalkingPair ≃ Bool where toFun j := WalkingPair.recOn j true false -- to match equiv.sum_equiv_sigma_bool invFun b := Bool.recOn b right left left_inv j := by cases j; repeat rfl right_inv b := by cases b; repeat rfl #align category_theory.limits.walking_pair.equiv_bool CategoryTheory.Limits.WalkingPair.equivBool @[simp] theorem WalkingPair.equivBool_apply_left : WalkingPair.equivBool left = true := rfl #align category_theory.limits.walking_pair.equiv_bool_apply_left CategoryTheory.Limits.WalkingPair.equivBool_apply_left @[simp] theorem WalkingPair.equivBool_apply_right : WalkingPair.equivBool right = false := rfl #align category_theory.limits.walking_pair.equiv_bool_apply_right CategoryTheory.Limits.WalkingPair.equivBool_apply_right @[simp] theorem WalkingPair.equivBool_symm_apply_true : WalkingPair.equivBool.symm true = left := rfl #align category_theory.limits.walking_pair.equiv_bool_symm_apply_tt CategoryTheory.Limits.WalkingPair.equivBool_symm_apply_true @[simp] theorem WalkingPair.equivBool_symm_apply_false : WalkingPair.equivBool.symm false = right := rfl #align category_theory.limits.walking_pair.equiv_bool_symm_apply_ff CategoryTheory.Limits.WalkingPair.equivBool_symm_apply_false variable {C : Type u} def pairFunction (X Y : C) : WalkingPair → C := fun j => WalkingPair.casesOn j X Y #align category_theory.limits.pair_function CategoryTheory.Limits.pairFunction @[simp] theorem pairFunction_left (X Y : C) : pairFunction X Y left = X := rfl #align category_theory.limits.pair_function_left CategoryTheory.Limits.pairFunction_left @[simp] theorem pairFunction_right (X Y : C) : pairFunction X Y right = Y := rfl #align category_theory.limits.pair_function_right CategoryTheory.Limits.pairFunction_right variable [Category.{v} C] def pair (X Y : C) : Discrete WalkingPair ⥤ C := Discrete.functor fun j => WalkingPair.casesOn j X Y #align category_theory.limits.pair CategoryTheory.Limits.pair @[simp] theorem pair_obj_left (X Y : C) : (pair X Y).obj ⟨left⟩ = X := rfl #align category_theory.limits.pair_obj_left CategoryTheory.Limits.pair_obj_left @[simp] theorem pair_obj_right (X Y : C) : (pair X Y).obj ⟨right⟩ = Y := rfl #align category_theory.limits.pair_obj_right CategoryTheory.Limits.pair_obj_right section variable {F G : Discrete WalkingPair ⥤ C} (f : F.obj ⟨left⟩ ⟶ G.obj ⟨left⟩) (g : F.obj ⟨right⟩ ⟶ G.obj ⟨right⟩) attribute [local aesop safe tactic (rule_sets := [CategoryTheory])] CategoryTheory.Discrete.discreteCases def mapPair : F ⟶ G where app j := Discrete.recOn j fun j => WalkingPair.casesOn j f g naturality := fun ⟨X⟩ ⟨Y⟩ ⟨⟨u⟩⟩ => by aesop_cat #align category_theory.limits.map_pair CategoryTheory.Limits.mapPair @[simp] theorem mapPair_left : (mapPair f g).app ⟨left⟩ = f := rfl #align category_theory.limits.map_pair_left CategoryTheory.Limits.mapPair_left @[simp] theorem mapPair_right : (mapPair f g).app ⟨right⟩ = g := rfl #align category_theory.limits.map_pair_right CategoryTheory.Limits.mapPair_right @[simps!] def mapPairIso (f : F.obj ⟨left⟩ ≅ G.obj ⟨left⟩) (g : F.obj ⟨right⟩ ≅ G.obj ⟨right⟩) : F ≅ G := NatIso.ofComponents (fun j => Discrete.recOn j fun j => WalkingPair.casesOn j f g) (fun ⟨⟨u⟩⟩ => by aesop_cat) #align category_theory.limits.map_pair_iso CategoryTheory.Limits.mapPairIso end @[simps!] def diagramIsoPair (F : Discrete WalkingPair ⥤ C) : F ≅ pair (F.obj ⟨WalkingPair.left⟩) (F.obj ⟨WalkingPair.right⟩) := mapPairIso (Iso.refl _) (Iso.refl _) #align category_theory.limits.diagram_iso_pair CategoryTheory.Limits.diagramIsoPair section variable {D : Type u} [Category.{v} D] def pairComp (X Y : C) (F : C ⥤ D) : pair X Y ⋙ F ≅ pair (F.obj X) (F.obj Y) := diagramIsoPair _ #align category_theory.limits.pair_comp CategoryTheory.Limits.pairComp end abbrev BinaryFan (X Y : C) := Cone (pair X Y) #align category_theory.limits.binary_fan CategoryTheory.Limits.BinaryFan abbrev BinaryFan.fst {X Y : C} (s : BinaryFan X Y) := s.π.app ⟨WalkingPair.left⟩ #align category_theory.limits.binary_fan.fst CategoryTheory.Limits.BinaryFan.fst abbrev BinaryFan.snd {X Y : C} (s : BinaryFan X Y) := s.π.app ⟨WalkingPair.right⟩ #align category_theory.limits.binary_fan.snd CategoryTheory.Limits.BinaryFan.snd @[simp] theorem BinaryFan.π_app_left {X Y : C} (s : BinaryFan X Y) : s.π.app ⟨WalkingPair.left⟩ = s.fst := rfl #align category_theory.limits.binary_fan.π_app_left CategoryTheory.Limits.BinaryFan.π_app_left @[simp] theorem BinaryFan.π_app_right {X Y : C} (s : BinaryFan X Y) : s.π.app ⟨WalkingPair.right⟩ = s.snd := rfl #align category_theory.limits.binary_fan.π_app_right CategoryTheory.Limits.BinaryFan.π_app_right def BinaryFan.IsLimit.mk {X Y : C} (s : BinaryFan X Y) (lift : ∀ {T : C} (_ : T ⟶ X) (_ : T ⟶ Y), T ⟶ s.pt) (hl₁ : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y), lift f g ≫ s.fst = f) (hl₂ : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y), lift f g ≫ s.snd = g) (uniq : ∀ {T : C} (f : T ⟶ X) (g : T ⟶ Y) (m : T ⟶ s.pt) (_ : m ≫ s.fst = f) (_ : m ≫ s.snd = g), m = lift f g) : IsLimit s := Limits.IsLimit.mk (fun t => lift (BinaryFan.fst t) (BinaryFan.snd t)) (by rintro t (rfl | rfl) · exact hl₁ _ _ · exact hl₂ _ _) fun t m h => uniq _ _ _ (h ⟨WalkingPair.left⟩) (h ⟨WalkingPair.right⟩) #align category_theory.limits.binary_fan.is_limit.mk CategoryTheory.Limits.BinaryFan.IsLimit.mk theorem BinaryFan.IsLimit.hom_ext {W X Y : C} {s : BinaryFan X Y} (h : IsLimit s) {f g : W ⟶ s.pt} (h₁ : f ≫ s.fst = g ≫ s.fst) (h₂ : f ≫ s.snd = g ≫ s.snd) : f = g := h.hom_ext fun j => Discrete.recOn j fun j => WalkingPair.casesOn j h₁ h₂ #align category_theory.limits.binary_fan.is_limit.hom_ext CategoryTheory.Limits.BinaryFan.IsLimit.hom_ext abbrev BinaryCofan (X Y : C) := Cocone (pair X Y) #align category_theory.limits.binary_cofan CategoryTheory.Limits.BinaryCofan abbrev BinaryCofan.inl {X Y : C} (s : BinaryCofan X Y) := s.ι.app ⟨WalkingPair.left⟩ #align category_theory.limits.binary_cofan.inl CategoryTheory.Limits.BinaryCofan.inl abbrev BinaryCofan.inr {X Y : C} (s : BinaryCofan X Y) := s.ι.app ⟨WalkingPair.right⟩ #align category_theory.limits.binary_cofan.inr CategoryTheory.Limits.BinaryCofan.inr @[simp] theorem BinaryCofan.ι_app_left {X Y : C} (s : BinaryCofan X Y) : s.ι.app ⟨WalkingPair.left⟩ = s.inl := rfl #align category_theory.limits.binary_cofan.ι_app_left CategoryTheory.Limits.BinaryCofan.ι_app_left @[simp] theorem BinaryCofan.ι_app_right {X Y : C} (s : BinaryCofan X Y) : s.ι.app ⟨WalkingPair.right⟩ = s.inr := rfl #align category_theory.limits.binary_cofan.ι_app_right CategoryTheory.Limits.BinaryCofan.ι_app_right def BinaryCofan.IsColimit.mk {X Y : C} (s : BinaryCofan X Y) (desc : ∀ {T : C} (_ : X ⟶ T) (_ : Y ⟶ T), s.pt ⟶ T) (hd₁ : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T), s.inl ≫ desc f g = f) (hd₂ : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T), s.inr ≫ desc f g = g) (uniq : ∀ {T : C} (f : X ⟶ T) (g : Y ⟶ T) (m : s.pt ⟶ T) (_ : s.inl ≫ m = f) (_ : s.inr ≫ m = g), m = desc f g) : IsColimit s := Limits.IsColimit.mk (fun t => desc (BinaryCofan.inl t) (BinaryCofan.inr t)) (by rintro t (rfl | rfl) · exact hd₁ _ _ · exact hd₂ _ _) fun t m h => uniq _ _ _ (h ⟨WalkingPair.left⟩) (h ⟨WalkingPair.right⟩) #align category_theory.limits.binary_cofan.is_colimit.mk CategoryTheory.Limits.BinaryCofan.IsColimit.mk theorem BinaryCofan.IsColimit.hom_ext {W X Y : C} {s : BinaryCofan X Y} (h : IsColimit s) {f g : s.pt ⟶ W} (h₁ : s.inl ≫ f = s.inl ≫ g) (h₂ : s.inr ≫ f = s.inr ≫ g) : f = g := h.hom_ext fun j => Discrete.recOn j fun j => WalkingPair.casesOn j h₁ h₂ #align category_theory.limits.binary_cofan.is_colimit.hom_ext CategoryTheory.Limits.BinaryCofan.IsColimit.hom_ext variable {X Y : C} section attribute [local aesop safe tactic (rule_sets := [CategoryTheory])] CategoryTheory.Discrete.discreteCases -- Porting note: would it be okay to use this more generally? attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Eq @[simps pt] def BinaryFan.mk {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : BinaryFan X Y where pt := P π := { app := fun ⟨j⟩ => by cases j <;> simpa } #align category_theory.limits.binary_fan.mk CategoryTheory.Limits.BinaryFan.mk @[simps pt] def BinaryCofan.mk {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : BinaryCofan X Y where pt := P ι := { app := fun ⟨j⟩ => by cases j <;> simpa } #align category_theory.limits.binary_cofan.mk CategoryTheory.Limits.BinaryCofan.mk end @[simp] theorem BinaryFan.mk_fst {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : (BinaryFan.mk π₁ π₂).fst = π₁ := rfl #align category_theory.limits.binary_fan.mk_fst CategoryTheory.Limits.BinaryFan.mk_fst @[simp] theorem BinaryFan.mk_snd {P : C} (π₁ : P ⟶ X) (π₂ : P ⟶ Y) : (BinaryFan.mk π₁ π₂).snd = π₂ := rfl #align category_theory.limits.binary_fan.mk_snd CategoryTheory.Limits.BinaryFan.mk_snd @[simp] theorem BinaryCofan.mk_inl {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : (BinaryCofan.mk ι₁ ι₂).inl = ι₁ := rfl #align category_theory.limits.binary_cofan.mk_inl CategoryTheory.Limits.BinaryCofan.mk_inl @[simp] theorem BinaryCofan.mk_inr {P : C} (ι₁ : X ⟶ P) (ι₂ : Y ⟶ P) : (BinaryCofan.mk ι₁ ι₂).inr = ι₂ := rfl #align category_theory.limits.binary_cofan.mk_inr CategoryTheory.Limits.BinaryCofan.mk_inr def isoBinaryFanMk {X Y : C} (c : BinaryFan X Y) : c ≅ BinaryFan.mk c.fst c.snd := Cones.ext (Iso.refl _) fun j => by cases' j with l; cases l; repeat simp #align category_theory.limits.iso_binary_fan_mk CategoryTheory.Limits.isoBinaryFanMk def isoBinaryCofanMk {X Y : C} (c : BinaryCofan X Y) : c ≅ BinaryCofan.mk c.inl c.inr := Cocones.ext (Iso.refl _) fun j => by cases' j with l; cases l; repeat simp #align category_theory.limits.iso_binary_cofan_mk CategoryTheory.Limits.isoBinaryCofanMk def BinaryFan.isLimitMk {W : C} {fst : W ⟶ X} {snd : W ⟶ Y} (lift : ∀ s : BinaryFan X Y, s.pt ⟶ W) (fac_left : ∀ s : BinaryFan X Y, lift s ≫ fst = s.fst) (fac_right : ∀ s : BinaryFan X Y, lift s ≫ snd = s.snd) (uniq : ∀ (s : BinaryFan X Y) (m : s.pt ⟶ W) (_ : m ≫ fst = s.fst) (_ : m ≫ snd = s.snd), m = lift s) : IsLimit (BinaryFan.mk fst snd) := { lift := lift fac := fun s j => by rcases j with ⟨⟨⟩⟩ exacts [fac_left s, fac_right s] uniq := fun s m w => uniq s m (w ⟨WalkingPair.left⟩) (w ⟨WalkingPair.right⟩) } #align category_theory.limits.binary_fan.is_limit_mk CategoryTheory.Limits.BinaryFan.isLimitMk def BinaryCofan.isColimitMk {W : C} {inl : X ⟶ W} {inr : Y ⟶ W} (desc : ∀ s : BinaryCofan X Y, W ⟶ s.pt) (fac_left : ∀ s : BinaryCofan X Y, inl ≫ desc s = s.inl) (fac_right : ∀ s : BinaryCofan X Y, inr ≫ desc s = s.inr) (uniq : ∀ (s : BinaryCofan X Y) (m : W ⟶ s.pt) (_ : inl ≫ m = s.inl) (_ : inr ≫ m = s.inr), m = desc s) : IsColimit (BinaryCofan.mk inl inr) := { desc := desc fac := fun s j => by rcases j with ⟨⟨⟩⟩ exacts [fac_left s, fac_right s] uniq := fun s m w => uniq s m (w ⟨WalkingPair.left⟩) (w ⟨WalkingPair.right⟩) } #align category_theory.limits.binary_cofan.is_colimit_mk CategoryTheory.Limits.BinaryCofan.isColimitMk @[simps] def BinaryFan.IsLimit.lift' {W X Y : C} {s : BinaryFan X Y} (h : IsLimit s) (f : W ⟶ X) (g : W ⟶ Y) : { l : W ⟶ s.pt // l ≫ s.fst = f ∧ l ≫ s.snd = g } := ⟨h.lift <| BinaryFan.mk f g, h.fac _ _, h.fac _ _⟩ #align category_theory.limits.binary_fan.is_limit.lift' CategoryTheory.Limits.BinaryFan.IsLimit.lift' @[simps] def BinaryCofan.IsColimit.desc' {W X Y : C} {s : BinaryCofan X Y} (h : IsColimit s) (f : X ⟶ W) (g : Y ⟶ W) : { l : s.pt ⟶ W // s.inl ≫ l = f ∧ s.inr ≫ l = g } := ⟨h.desc <| BinaryCofan.mk f g, h.fac _ _, h.fac _ _⟩ #align category_theory.limits.binary_cofan.is_colimit.desc' CategoryTheory.Limits.BinaryCofan.IsColimit.desc' def BinaryFan.isLimitFlip {X Y : C} {c : BinaryFan X Y} (hc : IsLimit c) : IsLimit (BinaryFan.mk c.snd c.fst) := BinaryFan.isLimitMk (fun s => hc.lift (BinaryFan.mk s.snd s.fst)) (fun _ => hc.fac _ _) (fun _ => hc.fac _ _) fun s _ e₁ e₂ => BinaryFan.IsLimit.hom_ext hc (e₂.trans (hc.fac (BinaryFan.mk s.snd s.fst) ⟨WalkingPair.left⟩).symm) (e₁.trans (hc.fac (BinaryFan.mk s.snd s.fst) ⟨WalkingPair.right⟩).symm) #align category_theory.limits.binary_fan.is_limit_flip CategoryTheory.Limits.BinaryFan.isLimitFlip theorem BinaryFan.isLimit_iff_isIso_fst {X Y : C} (h : IsTerminal Y) (c : BinaryFan X Y) : Nonempty (IsLimit c) ↔ IsIso c.fst := by constructor · rintro ⟨H⟩ obtain ⟨l, hl, -⟩ := BinaryFan.IsLimit.lift' H (𝟙 X) (h.from X) exact ⟨⟨l, BinaryFan.IsLimit.hom_ext H (by simpa [hl, -Category.comp_id] using Category.comp_id _) (h.hom_ext _ _), hl⟩⟩ · intro exact ⟨BinaryFan.IsLimit.mk _ (fun f _ => f ≫ inv c.fst) (fun _ _ => by simp) (fun _ _ => h.hom_ext _ _) fun _ _ _ e _ => by simp [← e]⟩ #align category_theory.limits.binary_fan.is_limit_iff_is_iso_fst CategoryTheory.Limits.BinaryFan.isLimit_iff_isIso_fst theorem BinaryFan.isLimit_iff_isIso_snd {X Y : C} (h : IsTerminal X) (c : BinaryFan X Y) : Nonempty (IsLimit c) ↔ IsIso c.snd := by refine Iff.trans ?_ (BinaryFan.isLimit_iff_isIso_fst h (BinaryFan.mk c.snd c.fst)) exact ⟨fun h => ⟨BinaryFan.isLimitFlip h.some⟩, fun h => ⟨(BinaryFan.isLimitFlip h.some).ofIsoLimit (isoBinaryFanMk c).symm⟩⟩ #align category_theory.limits.binary_fan.is_limit_iff_is_iso_snd CategoryTheory.Limits.BinaryFan.isLimit_iff_isIso_snd noncomputable def BinaryFan.isLimitCompLeftIso {X Y X' : C} (c : BinaryFan X Y) (f : X ⟶ X') [IsIso f] (h : IsLimit c) : IsLimit (BinaryFan.mk (c.fst ≫ f) c.snd) := by fapply BinaryFan.isLimitMk · exact fun s => h.lift (BinaryFan.mk (s.fst ≫ inv f) s.snd) · intro s -- Porting note: simp timed out here simp only [Category.comp_id,BinaryFan.π_app_left,IsIso.inv_hom_id, BinaryFan.mk_fst,IsLimit.fac_assoc,eq_self_iff_true,Category.assoc] · intro s -- Porting note: simp timed out here simp only [BinaryFan.π_app_right,BinaryFan.mk_snd,eq_self_iff_true,IsLimit.fac] · intro s m e₁ e₂ -- Porting note: simpa timed out here also apply BinaryFan.IsLimit.hom_ext h · simpa only [BinaryFan.π_app_left,BinaryFan.mk_fst,Category.assoc,IsLimit.fac,IsIso.eq_comp_inv] · simpa only [BinaryFan.π_app_right,BinaryFan.mk_snd,IsLimit.fac] #align category_theory.limits.binary_fan.is_limit_comp_left_iso CategoryTheory.Limits.BinaryFan.isLimitCompLeftIso noncomputable def BinaryFan.isLimitCompRightIso {X Y Y' : C} (c : BinaryFan X Y) (f : Y ⟶ Y') [IsIso f] (h : IsLimit c) : IsLimit (BinaryFan.mk c.fst (c.snd ≫ f)) := BinaryFan.isLimitFlip <| BinaryFan.isLimitCompLeftIso _ f (BinaryFan.isLimitFlip h) #align category_theory.limits.binary_fan.is_limit_comp_right_iso CategoryTheory.Limits.BinaryFan.isLimitCompRightIso def BinaryCofan.isColimitFlip {X Y : C} {c : BinaryCofan X Y} (hc : IsColimit c) : IsColimit (BinaryCofan.mk c.inr c.inl) := BinaryCofan.isColimitMk (fun s => hc.desc (BinaryCofan.mk s.inr s.inl)) (fun _ => hc.fac _ _) (fun _ => hc.fac _ _) fun s _ e₁ e₂ => BinaryCofan.IsColimit.hom_ext hc (e₂.trans (hc.fac (BinaryCofan.mk s.inr s.inl) ⟨WalkingPair.left⟩).symm) (e₁.trans (hc.fac (BinaryCofan.mk s.inr s.inl) ⟨WalkingPair.right⟩).symm) #align category_theory.limits.binary_cofan.is_colimit_flip CategoryTheory.Limits.BinaryCofan.isColimitFlip theorem BinaryCofan.isColimit_iff_isIso_inl {X Y : C} (h : IsInitial Y) (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ IsIso c.inl := by constructor · rintro ⟨H⟩ obtain ⟨l, hl, -⟩ := BinaryCofan.IsColimit.desc' H (𝟙 X) (h.to X) refine ⟨⟨l, hl, BinaryCofan.IsColimit.hom_ext H (?_) (h.hom_ext _ _)⟩⟩ rw [Category.comp_id] have e : (inl c ≫ l) ≫ inl c = 𝟙 X ≫ inl c := congrArg (·≫inl c) hl rwa [Category.assoc,Category.id_comp] at e · intro exact ⟨BinaryCofan.IsColimit.mk _ (fun f _ => inv c.inl ≫ f) (fun _ _ => IsIso.hom_inv_id_assoc _ _) (fun _ _ => h.hom_ext _ _) fun _ _ _ e _ => (IsIso.eq_inv_comp _).mpr e⟩ #align category_theory.limits.binary_cofan.is_colimit_iff_is_iso_inl CategoryTheory.Limits.BinaryCofan.isColimit_iff_isIso_inl theorem BinaryCofan.isColimit_iff_isIso_inr {X Y : C} (h : IsInitial X) (c : BinaryCofan X Y) : Nonempty (IsColimit c) ↔ IsIso c.inr := by refine Iff.trans ?_ (BinaryCofan.isColimit_iff_isIso_inl h (BinaryCofan.mk c.inr c.inl)) exact ⟨fun h => ⟨BinaryCofan.isColimitFlip h.some⟩, fun h => ⟨(BinaryCofan.isColimitFlip h.some).ofIsoColimit (isoBinaryCofanMk c).symm⟩⟩ #align category_theory.limits.binary_cofan.is_colimit_iff_is_iso_inr CategoryTheory.Limits.BinaryCofan.isColimit_iff_isIso_inr noncomputable def BinaryCofan.isColimitCompLeftIso {X Y X' : C} (c : BinaryCofan X Y) (f : X' ⟶ X) [IsIso f] (h : IsColimit c) : IsColimit (BinaryCofan.mk (f ≫ c.inl) c.inr) := by fapply BinaryCofan.isColimitMk · exact fun s => h.desc (BinaryCofan.mk (inv f ≫ s.inl) s.inr) · intro s -- Porting note: simp timed out here too simp only [IsColimit.fac,BinaryCofan.ι_app_left,eq_self_iff_true, Category.assoc,BinaryCofan.mk_inl,IsIso.hom_inv_id_assoc] · intro s -- Porting note: simp timed out here too simp only [IsColimit.fac,BinaryCofan.ι_app_right,eq_self_iff_true,BinaryCofan.mk_inr] · intro s m e₁ e₂ apply BinaryCofan.IsColimit.hom_ext h · rw [← cancel_epi f] -- Porting note: simp timed out here too simpa only [IsColimit.fac,BinaryCofan.ι_app_left,eq_self_iff_true, Category.assoc,BinaryCofan.mk_inl,IsIso.hom_inv_id_assoc] using e₁ -- Porting note: simp timed out here too · simpa only [IsColimit.fac,BinaryCofan.ι_app_right,eq_self_iff_true,BinaryCofan.mk_inr] #align category_theory.limits.binary_cofan.is_colimit_comp_left_iso CategoryTheory.Limits.BinaryCofan.isColimitCompLeftIso noncomputable def BinaryCofan.isColimitCompRightIso {X Y Y' : C} (c : BinaryCofan X Y) (f : Y' ⟶ Y) [IsIso f] (h : IsColimit c) : IsColimit (BinaryCofan.mk c.inl (f ≫ c.inr)) := BinaryCofan.isColimitFlip <| BinaryCofan.isColimitCompLeftIso _ f (BinaryCofan.isColimitFlip h) #align category_theory.limits.binary_cofan.is_colimit_comp_right_iso CategoryTheory.Limits.BinaryCofan.isColimitCompRightIso abbrev HasBinaryProduct (X Y : C) := HasLimit (pair X Y) #align category_theory.limits.has_binary_product CategoryTheory.Limits.HasBinaryProduct abbrev HasBinaryCoproduct (X Y : C) := HasColimit (pair X Y) #align category_theory.limits.has_binary_coproduct CategoryTheory.Limits.HasBinaryCoproduct abbrev prod (X Y : C) [HasBinaryProduct X Y] := limit (pair X Y) #align category_theory.limits.prod CategoryTheory.Limits.prod abbrev coprod (X Y : C) [HasBinaryCoproduct X Y] := colimit (pair X Y) #align category_theory.limits.coprod CategoryTheory.Limits.coprod notation:20 X " ⨯ " Y:20 => prod X Y notation:20 X " ⨿ " Y:20 => coprod X Y abbrev prod.fst {X Y : C} [HasBinaryProduct X Y] : X ⨯ Y ⟶ X := limit.π (pair X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.prod.fst CategoryTheory.Limits.prod.fst abbrev prod.snd {X Y : C} [HasBinaryProduct X Y] : X ⨯ Y ⟶ Y := limit.π (pair X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.prod.snd CategoryTheory.Limits.prod.snd abbrev coprod.inl {X Y : C} [HasBinaryCoproduct X Y] : X ⟶ X ⨿ Y := colimit.ι (pair X Y) ⟨WalkingPair.left⟩ #align category_theory.limits.coprod.inl CategoryTheory.Limits.coprod.inl abbrev coprod.inr {X Y : C} [HasBinaryCoproduct X Y] : Y ⟶ X ⨿ Y := colimit.ι (pair X Y) ⟨WalkingPair.right⟩ #align category_theory.limits.coprod.inr CategoryTheory.Limits.coprod.inr def prodIsProd (X Y : C) [HasBinaryProduct X Y] : IsLimit (BinaryFan.mk (prod.fst : X ⨯ Y ⟶ X) prod.snd) := (limit.isLimit _).ofIsoLimit (Cones.ext (Iso.refl _) (fun ⟨u⟩ => by cases u · dsimp; simp only [Category.id_comp]; rfl · dsimp; simp only [Category.id_comp]; rfl )) #align category_theory.limits.prod_is_prod CategoryTheory.Limits.prodIsProd def coprodIsCoprod (X Y : C) [HasBinaryCoproduct X Y] : IsColimit (BinaryCofan.mk (coprod.inl : X ⟶ X ⨿ Y) coprod.inr) := (colimit.isColimit _).ofIsoColimit (Cocones.ext (Iso.refl _) (fun ⟨u⟩ => by cases u · dsimp; simp only [Category.comp_id] · dsimp; simp only [Category.comp_id] )) #align category_theory.limits.coprod_is_coprod CategoryTheory.Limits.coprodIsCoprod @[ext 1100] theorem prod.hom_ext {W X Y : C} [HasBinaryProduct X Y] {f g : W ⟶ X ⨯ Y} (h₁ : f ≫ prod.fst = g ≫ prod.fst) (h₂ : f ≫ prod.snd = g ≫ prod.snd) : f = g := BinaryFan.IsLimit.hom_ext (limit.isLimit _) h₁ h₂ #align category_theory.limits.prod.hom_ext CategoryTheory.Limits.prod.hom_ext @[ext 1100] theorem coprod.hom_ext {W X Y : C} [HasBinaryCoproduct X Y] {f g : X ⨿ Y ⟶ W} (h₁ : coprod.inl ≫ f = coprod.inl ≫ g) (h₂ : coprod.inr ≫ f = coprod.inr ≫ g) : f = g := BinaryCofan.IsColimit.hom_ext (colimit.isColimit _) h₁ h₂ #align category_theory.limits.coprod.hom_ext CategoryTheory.Limits.coprod.hom_ext abbrev prod.lift {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : W ⟶ X ⨯ Y := limit.lift _ (BinaryFan.mk f g) #align category_theory.limits.prod.lift CategoryTheory.Limits.prod.lift abbrev diag (X : C) [HasBinaryProduct X X] : X ⟶ X ⨯ X := prod.lift (𝟙 _) (𝟙 _) #align category_theory.limits.diag CategoryTheory.Limits.diag abbrev coprod.desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : X ⨿ Y ⟶ W := colimit.desc _ (BinaryCofan.mk f g) #align category_theory.limits.coprod.desc CategoryTheory.Limits.coprod.desc abbrev codiag (X : C) [HasBinaryCoproduct X X] : X ⨿ X ⟶ X := coprod.desc (𝟙 _) (𝟙 _) #align category_theory.limits.codiag CategoryTheory.Limits.codiag -- Porting note (#10618): simp removes as simp can prove this @[reassoc] theorem prod.lift_fst {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : prod.lift f g ≫ prod.fst = f := limit.lift_π _ _ #align category_theory.limits.prod.lift_fst CategoryTheory.Limits.prod.lift_fst #align category_theory.limits.prod.lift_fst_assoc CategoryTheory.Limits.prod.lift_fst_assoc -- Porting note (#10618): simp removes as simp can prove this @[reassoc] theorem prod.lift_snd {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : prod.lift f g ≫ prod.snd = g := limit.lift_π _ _ #align category_theory.limits.prod.lift_snd CategoryTheory.Limits.prod.lift_snd #align category_theory.limits.prod.lift_snd_assoc CategoryTheory.Limits.prod.lift_snd_assoc -- The simp linter says simp can prove the reassoc version of this lemma. -- Porting note: it can also prove the og version @[reassoc] theorem coprod.inl_desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : coprod.inl ≫ coprod.desc f g = f := colimit.ι_desc _ _ #align category_theory.limits.coprod.inl_desc CategoryTheory.Limits.coprod.inl_desc #align category_theory.limits.coprod.inl_desc_assoc CategoryTheory.Limits.coprod.inl_desc_assoc -- The simp linter says simp can prove the reassoc version of this lemma. -- Porting note: it can also prove the og version @[reassoc] theorem coprod.inr_desc {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : coprod.inr ≫ coprod.desc f g = g := colimit.ι_desc _ _ #align category_theory.limits.coprod.inr_desc CategoryTheory.Limits.coprod.inr_desc #align category_theory.limits.coprod.inr_desc_assoc CategoryTheory.Limits.coprod.inr_desc_assoc instance prod.mono_lift_of_mono_left {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) [Mono f] : Mono (prod.lift f g) := mono_of_mono_fac <| prod.lift_fst _ _ #align category_theory.limits.prod.mono_lift_of_mono_left CategoryTheory.Limits.prod.mono_lift_of_mono_left instance prod.mono_lift_of_mono_right {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) [Mono g] : Mono (prod.lift f g) := mono_of_mono_fac <| prod.lift_snd _ _ #align category_theory.limits.prod.mono_lift_of_mono_right CategoryTheory.Limits.prod.mono_lift_of_mono_right instance coprod.epi_desc_of_epi_left {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) [Epi f] : Epi (coprod.desc f g) := epi_of_epi_fac <| coprod.inl_desc _ _ #align category_theory.limits.coprod.epi_desc_of_epi_left CategoryTheory.Limits.coprod.epi_desc_of_epi_left instance coprod.epi_desc_of_epi_right {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) [Epi g] : Epi (coprod.desc f g) := epi_of_epi_fac <| coprod.inr_desc _ _ #align category_theory.limits.coprod.epi_desc_of_epi_right CategoryTheory.Limits.coprod.epi_desc_of_epi_right def prod.lift' {W X Y : C} [HasBinaryProduct X Y] (f : W ⟶ X) (g : W ⟶ Y) : { l : W ⟶ X ⨯ Y // l ≫ prod.fst = f ∧ l ≫ prod.snd = g } := ⟨prod.lift f g, prod.lift_fst _ _, prod.lift_snd _ _⟩ #align category_theory.limits.prod.lift' CategoryTheory.Limits.prod.lift' def coprod.desc' {W X Y : C} [HasBinaryCoproduct X Y] (f : X ⟶ W) (g : Y ⟶ W) : { l : X ⨿ Y ⟶ W // coprod.inl ≫ l = f ∧ coprod.inr ≫ l = g } := ⟨coprod.desc f g, coprod.inl_desc _ _, coprod.inr_desc _ _⟩ #align category_theory.limits.coprod.desc' CategoryTheory.Limits.coprod.desc' def prod.map {W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : W ⨯ X ⟶ Y ⨯ Z := limMap (mapPair f g) #align category_theory.limits.prod.map CategoryTheory.Limits.prod.map def coprod.map {W X Y Z : C} [HasBinaryCoproduct W X] [HasBinaryCoproduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : W ⨿ X ⟶ Y ⨿ Z := colimMap (mapPair f g) #align category_theory.limits.coprod.map CategoryTheory.Limits.coprod.map section ProdLemmas -- Making the reassoc version of this a simp lemma seems to be more harmful than helpful. @[reassoc, simp] theorem prod.comp_lift {V W X Y : C} [HasBinaryProduct X Y] (f : V ⟶ W) (g : W ⟶ X) (h : W ⟶ Y) : f ≫ prod.lift g h = prod.lift (f ≫ g) (f ≫ h) := by ext <;> simp #align category_theory.limits.prod.comp_lift CategoryTheory.Limits.prod.comp_lift #align category_theory.limits.prod.comp_lift_assoc CategoryTheory.Limits.prod.comp_lift_assoc theorem prod.comp_diag {X Y : C} [HasBinaryProduct Y Y] (f : X ⟶ Y) : f ≫ diag Y = prod.lift f f := by simp #align category_theory.limits.prod.comp_diag CategoryTheory.Limits.prod.comp_diag @[reassoc (attr := simp)] theorem prod.map_fst {W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : prod.map f g ≫ prod.fst = prod.fst ≫ f := limMap_π _ _ #align category_theory.limits.prod.map_fst CategoryTheory.Limits.prod.map_fst #align category_theory.limits.prod.map_fst_assoc CategoryTheory.Limits.prod.map_fst_assoc @[reassoc (attr := simp)] theorem prod.map_snd {W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : W ⟶ Y) (g : X ⟶ Z) : prod.map f g ≫ prod.snd = prod.snd ≫ g := limMap_π _ _ #align category_theory.limits.prod.map_snd CategoryTheory.Limits.prod.map_snd #align category_theory.limits.prod.map_snd_assoc CategoryTheory.Limits.prod.map_snd_assoc @[simp] theorem prod.map_id_id {X Y : C} [HasBinaryProduct X Y] : prod.map (𝟙 X) (𝟙 Y) = 𝟙 _ := by ext <;> simp #align category_theory.limits.prod.map_id_id CategoryTheory.Limits.prod.map_id_id @[simp] theorem prod.lift_fst_snd {X Y : C} [HasBinaryProduct X Y] : prod.lift prod.fst prod.snd = 𝟙 (X ⨯ Y) := by ext <;> simp #align category_theory.limits.prod.lift_fst_snd CategoryTheory.Limits.prod.lift_fst_snd @[reassoc (attr := simp)] theorem prod.lift_map {V W X Y Z : C} [HasBinaryProduct W X] [HasBinaryProduct Y Z] (f : V ⟶ W) (g : V ⟶ X) (h : W ⟶ Y) (k : X ⟶ Z) : prod.lift f g ≫ prod.map h k = prod.lift (f ≫ h) (g ≫ k) := by ext <;> simp #align category_theory.limits.prod.lift_map CategoryTheory.Limits.prod.lift_map #align category_theory.limits.prod.lift_map_assoc CategoryTheory.Limits.prod.lift_map_assoc @[simp] theorem prod.lift_fst_comp_snd_comp {W X Y Z : C} [HasBinaryProduct W Y] [HasBinaryProduct X Z] (g : W ⟶ X) (g' : Y ⟶ Z) : prod.lift (prod.fst ≫ g) (prod.snd ≫ g') = prod.map g g' := by rw [← prod.lift_map] simp #align category_theory.limits.prod.lift_fst_comp_snd_comp CategoryTheory.Limits.prod.lift_fst_comp_snd_comp -- We take the right hand side here to be simp normal form, as this way composition lemmas for -- `f ≫ h` and `g ≫ k` can fire (eg `id_comp`) , while `map_fst` and `map_snd` can still work just -- as well. @[reassoc (attr := simp)]
Mathlib/CategoryTheory/Limits/Shapes/BinaryProducts.lean
757
759
theorem prod.map_map {A₁ A₂ A₃ B₁ B₂ B₃ : C} [HasBinaryProduct A₁ B₁] [HasBinaryProduct A₂ B₂] [HasBinaryProduct A₃ B₃] (f : A₁ ⟶ A₂) (g : B₁ ⟶ B₂) (h : A₂ ⟶ A₃) (k : B₂ ⟶ B₃) : prod.map f g ≫ prod.map h k = prod.map (f ≫ h) (g ≫ k) := by
ext <;> simp
import Mathlib.Data.ZMod.Basic import Mathlib.GroupTheory.Coxeter.Basic namespace CoxeterSystem open List Matrix Function Classical variable {B : Type*} variable {W : Type*} [Group W] variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W) local prefix:100 "s" => cs.simple local prefix:100 "π" => cs.wordProd private theorem exists_word_with_prod (w : W) : ∃ n ω, ω.length = n ∧ π ω = w := by rcases cs.wordProd_surjective w with ⟨ω, rfl⟩ use ω.length, ω noncomputable def length (w : W) : ℕ := Nat.find (cs.exists_word_with_prod w) local prefix:100 "ℓ" => cs.length theorem exists_reduced_word (w : W) : ∃ ω, ω.length = ℓ w ∧ w = π ω := by have := Nat.find_spec (cs.exists_word_with_prod w) tauto theorem length_wordProd_le (ω : List B) : ℓ (π ω) ≤ ω.length := Nat.find_min' (cs.exists_word_with_prod (π ω)) ⟨ω, by tauto⟩ @[simp] theorem length_one : ℓ (1 : W) = 0 := Nat.eq_zero_of_le_zero (cs.length_wordProd_le []) @[simp] theorem length_eq_zero_iff {w : W} : ℓ w = 0 ↔ w = 1 := by constructor · intro h rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have : ω = [] := eq_nil_of_length_eq_zero (hω.trans h) rw [this, wordProd_nil] · rintro rfl exact cs.length_one @[simp] theorem length_inv (w : W) : ℓ (w⁻¹) = ℓ w := by apply Nat.le_antisymm · rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, hω] at this · rcases cs.exists_reduced_word w⁻¹ with ⟨ω, hω, h'ω⟩ have := cs.length_wordProd_le (List.reverse ω) rwa [wordProd_reverse, length_reverse, ← h'ω, hω, inv_inv] at this theorem length_mul_le (w₁ w₂ : W) : ℓ (w₁ * w₂) ≤ ℓ w₁ + ℓ w₂ := by rcases cs.exists_reduced_word w₁ with ⟨ω₁, hω₁, rfl⟩ rcases cs.exists_reduced_word w₂ with ⟨ω₂, hω₂, rfl⟩ have := cs.length_wordProd_le (ω₁ ++ ω₂) simpa [hω₁, hω₂, wordProd_append] using this theorem length_mul_ge_length_sub_length (w₁ w₂ : W) : ℓ w₁ - ℓ w₂ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add] using cs.length_mul_le (w₁ * w₂) w₂⁻¹ theorem length_mul_ge_length_sub_length' (w₁ w₂ : W) : ℓ w₂ - ℓ w₁ ≤ ℓ (w₁ * w₂) := by simpa [Nat.sub_le_of_le_add, add_comm] using cs.length_mul_le w₁⁻¹ (w₁ * w₂) theorem length_mul_ge_max (w₁ w₂ : W) : max (ℓ w₁ - ℓ w₂) (ℓ w₂ - ℓ w₁) ≤ ℓ (w₁ * w₂) := max_le_iff.mpr ⟨length_mul_ge_length_sub_length _ _ _, length_mul_ge_length_sub_length' _ _ _⟩ def lengthParity : W →* Multiplicative (ZMod 2) := cs.lift ⟨fun _ ↦ Multiplicative.ofAdd 1, by simp_rw [CoxeterMatrix.IsLiftable, ← ofAdd_add, (by decide : (1 + 1 : ZMod 2) = 0)] simp⟩ theorem lengthParity_simple (i : B): cs.lengthParity (s i) = Multiplicative.ofAdd 1 := cs.lift_apply_simple _ _ theorem lengthParity_comp_simple : cs.lengthParity ∘ cs.simple = fun _ ↦ Multiplicative.ofAdd 1 := funext cs.lengthParity_simple theorem lengthParity_eq_ofAdd_length (w : W) : cs.lengthParity w = Multiplicative.ofAdd (↑(ℓ w)) := by rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ rw [← hω, wordProd, map_list_prod, List.map_map, lengthParity_comp_simple, map_const', prod_replicate, ← ofAdd_nsmul, nsmul_one] theorem length_mul_mod_two (w₁ w₂ : W) : ℓ (w₁ * w₂) % 2 = (ℓ w₁ + ℓ w₂) % 2 := by rw [← ZMod.natCast_eq_natCast_iff', Nat.cast_add] simpa only [lengthParity_eq_ofAdd_length, ofAdd_add] using map_mul cs.lengthParity w₁ w₂ @[simp] theorem length_simple (i : B) : ℓ (s i) = 1 := by apply Nat.le_antisymm · simpa using cs.length_wordProd_le [i] · by_contra! length_lt_one have : cs.lengthParity (s i) = Multiplicative.ofAdd 0 := by rw [lengthParity_eq_ofAdd_length, Nat.lt_one_iff.mp length_lt_one, Nat.cast_zero] have : Multiplicative.ofAdd (0 : ZMod 2) = Multiplicative.ofAdd 1 := this.symm.trans (cs.lengthParity_simple i) contradiction theorem length_eq_one_iff {w : W} : ℓ w = 1 ↔ ∃ i : B, w = s i := by constructor · intro h rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩ rcases List.length_eq_one.mp (hω.trans h) with ⟨i, rfl⟩ exact ⟨i, cs.wordProd_singleton i⟩ · rintro ⟨i, rfl⟩ exact cs.length_simple i theorem length_mul_simple_ne (w : W) (i : B) : ℓ (w * s i) ≠ ℓ w := by intro eq have length_mod_two := cs.length_mul_mod_two w (s i) rw [eq, length_simple] at length_mod_two rcases Nat.mod_two_eq_zero_or_one (ℓ w) with even | odd · rw [even, Nat.succ_mod_two_eq_one_iff.mpr even] at length_mod_two contradiction · rw [odd, Nat.succ_mod_two_eq_zero_iff.mpr odd] at length_mod_two contradiction
Mathlib/GroupTheory/Coxeter/Length.lean
171
175
theorem length_simple_mul_ne (w : W) (i : B) : ℓ (s i * w) ≠ ℓ w := by
convert cs.length_mul_simple_ne w⁻¹ i using 1 · convert cs.length_inv ?_ using 2 simp · simp
import Mathlib.Algebra.Polynomial.Degree.Definitions import Mathlib.Data.ENat.Basic #align_import data.polynomial.degree.trailing_degree from "leanprover-community/mathlib"@"302eab4f46abb63de520828de78c04cb0f9b5836" noncomputable section open Function Polynomial Finsupp Finset open scoped Polynomial namespace Polynomial universe u v variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} def trailingDegree (p : R[X]) : ℕ∞ := p.support.min #align polynomial.trailing_degree Polynomial.trailingDegree theorem trailingDegree_lt_wf : WellFounded fun p q : R[X] => trailingDegree p < trailingDegree q := InvImage.wf trailingDegree wellFounded_lt #align polynomial.trailing_degree_lt_wf Polynomial.trailingDegree_lt_wf def natTrailingDegree (p : R[X]) : ℕ := (trailingDegree p).getD 0 #align polynomial.nat_trailing_degree Polynomial.natTrailingDegree def trailingCoeff (p : R[X]) : R := coeff p (natTrailingDegree p) #align polynomial.trailing_coeff Polynomial.trailingCoeff def TrailingMonic (p : R[X]) := trailingCoeff p = (1 : R) #align polynomial.trailing_monic Polynomial.TrailingMonic theorem TrailingMonic.def : TrailingMonic p ↔ trailingCoeff p = 1 := Iff.rfl #align polynomial.trailing_monic.def Polynomial.TrailingMonic.def instance TrailingMonic.decidable [DecidableEq R] : Decidable (TrailingMonic p) := inferInstanceAs <| Decidable (trailingCoeff p = (1 : R)) #align polynomial.trailing_monic.decidable Polynomial.TrailingMonic.decidable @[simp] theorem TrailingMonic.trailingCoeff {p : R[X]} (hp : p.TrailingMonic) : trailingCoeff p = 1 := hp #align polynomial.trailing_monic.trailing_coeff Polynomial.TrailingMonic.trailingCoeff @[simp] theorem trailingDegree_zero : trailingDegree (0 : R[X]) = ⊤ := rfl #align polynomial.trailing_degree_zero Polynomial.trailingDegree_zero @[simp] theorem trailingCoeff_zero : trailingCoeff (0 : R[X]) = 0 := rfl #align polynomial.trailing_coeff_zero Polynomial.trailingCoeff_zero @[simp] theorem natTrailingDegree_zero : natTrailingDegree (0 : R[X]) = 0 := rfl #align polynomial.nat_trailing_degree_zero Polynomial.natTrailingDegree_zero theorem trailingDegree_eq_top : trailingDegree p = ⊤ ↔ p = 0 := ⟨fun h => support_eq_empty.1 (Finset.min_eq_top.1 h), fun h => by simp [h]⟩ #align polynomial.trailing_degree_eq_top Polynomial.trailingDegree_eq_top theorem trailingDegree_eq_natTrailingDegree (hp : p ≠ 0) : trailingDegree p = (natTrailingDegree p : ℕ∞) := by let ⟨n, hn⟩ := not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt trailingDegree_eq_top.1 hp)) have hn : trailingDegree p = n := Classical.not_not.1 hn rw [natTrailingDegree, hn] rfl #align polynomial.trailing_degree_eq_nat_trailing_degree Polynomial.trailingDegree_eq_natTrailingDegree theorem trailingDegree_eq_iff_natTrailingDegree_eq {p : R[X]} {n : ℕ} (hp : p ≠ 0) : p.trailingDegree = n ↔ p.natTrailingDegree = n := by rw [trailingDegree_eq_natTrailingDegree hp] exact WithTop.coe_eq_coe #align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq theorem trailingDegree_eq_iff_natTrailingDegree_eq_of_pos {p : R[X]} {n : ℕ} (hn : 0 < n) : p.trailingDegree = n ↔ p.natTrailingDegree = n := by constructor · intro H rwa [← trailingDegree_eq_iff_natTrailingDegree_eq] rintro rfl rw [trailingDegree_zero] at H exact Option.noConfusion H · intro H rwa [trailingDegree_eq_iff_natTrailingDegree_eq] rintro rfl rw [natTrailingDegree_zero] at H rw [H] at hn exact lt_irrefl _ hn #align polynomial.trailing_degree_eq_iff_nat_trailing_degree_eq_of_pos Polynomial.trailingDegree_eq_iff_natTrailingDegree_eq_of_pos theorem natTrailingDegree_eq_of_trailingDegree_eq_some {p : R[X]} {n : ℕ} (h : trailingDegree p = n) : natTrailingDegree p = n := have hp0 : p ≠ 0 := fun hp0 => by rw [hp0] at h; exact Option.noConfusion h Option.some_inj.1 <| show (natTrailingDegree p : ℕ∞) = n by rwa [← trailingDegree_eq_natTrailingDegree hp0] #align polynomial.nat_trailing_degree_eq_of_trailing_degree_eq_some Polynomial.natTrailingDegree_eq_of_trailingDegree_eq_some @[simp] theorem natTrailingDegree_le_trailingDegree : ↑(natTrailingDegree p) ≤ trailingDegree p := by by_cases hp : p = 0; · rw [hp, trailingDegree_zero] exact le_top rw [trailingDegree_eq_natTrailingDegree hp] #align polynomial.nat_trailing_degree_le_trailing_degree Polynomial.natTrailingDegree_le_trailingDegree theorem natTrailingDegree_eq_of_trailingDegree_eq [Semiring S] {q : S[X]} (h : trailingDegree p = trailingDegree q) : natTrailingDegree p = natTrailingDegree q := by unfold natTrailingDegree rw [h] #align polynomial.nat_trailing_degree_eq_of_trailing_degree_eq Polynomial.natTrailingDegree_eq_of_trailingDegree_eq theorem trailingDegree_le_of_ne_zero (h : coeff p n ≠ 0) : trailingDegree p ≤ n := show @LE.le ℕ∞ _ p.support.min n from min_le (mem_support_iff.2 h) #align polynomial.le_trailing_degree_of_ne_zero Polynomial.trailingDegree_le_of_ne_zero theorem natTrailingDegree_le_of_ne_zero (h : coeff p n ≠ 0) : natTrailingDegree p ≤ n := by have : WithTop.some (natTrailingDegree p) = Nat.cast (natTrailingDegree p) := rfl rw [← WithTop.coe_le_coe, this, ← trailingDegree_eq_natTrailingDegree] · exact trailingDegree_le_of_ne_zero h · intro h subst h exact h rfl #align polynomial.nat_trailing_degree_le_of_ne_zero Polynomial.natTrailingDegree_le_of_ne_zero @[simp] lemma coeff_natTrailingDegree_eq_zero : coeff p p.natTrailingDegree = 0 ↔ p = 0 := by constructor · rintro h by_contra hp obtain ⟨n, hpn, hn⟩ := by simpa using min_mem_image_coe $ support_nonempty.2 hp obtain rfl := (trailingDegree_eq_iff_natTrailingDegree_eq hp).1 hn.symm exact hpn h · rintro rfl simp lemma coeff_natTrailingDegree_ne_zero : coeff p p.natTrailingDegree ≠ 0 ↔ p ≠ 0 := coeff_natTrailingDegree_eq_zero.not @[simp] lemma natTrailingDegree_eq_zero : natTrailingDegree p = 0 ↔ p = 0 ∨ coeff p 0 ≠ 0 := by constructor · rw [or_iff_not_imp_left] rintro h hp rwa [← h, coeff_natTrailingDegree_ne_zero] · rintro (rfl | h) · simp · exact nonpos_iff_eq_zero.1 $ natTrailingDegree_le_of_ne_zero h lemma trailingDegree_eq_zero : trailingDegree p = 0 ↔ coeff p 0 ≠ 0 := by obtain rfl | hp := eq_or_ne p 0 · simp [WithTop.top_ne_zero (α := ℕ)] · exact (trailingDegree_eq_iff_natTrailingDegree_eq hp).trans $ natTrailingDegree_eq_zero.trans $ or_iff_right hp lemma natTrailingDegree_ne_zero : natTrailingDegree p ≠ 0 ↔ p ≠ 0 ∧ coeff p 0 = 0 := natTrailingDegree_eq_zero.not.trans $ by rw [not_or, not_ne_iff] lemma trailingDegree_ne_zero : trailingDegree p ≠ 0 ↔ coeff p 0 = 0 := trailingDegree_eq_zero.not_left @[simp] theorem trailingDegree_le_trailingDegree (h : coeff q (natTrailingDegree p) ≠ 0) : trailingDegree q ≤ trailingDegree p := by by_cases hp : p = 0 · rw [hp] exact le_top · rw [trailingDegree_eq_natTrailingDegree hp] exact trailingDegree_le_of_ne_zero h #align polynomial.trailing_degree_le_trailing_degree Polynomial.trailingDegree_le_trailingDegree theorem trailingDegree_ne_of_natTrailingDegree_ne {n : ℕ} : p.natTrailingDegree ≠ n → trailingDegree p ≠ n := by -- Porting note: Needed to account for different coercion behaviour & add the lemma below have : Nat.cast n = WithTop.some n := rfl exact mt fun h => by rw [natTrailingDegree, h, this, ← WithTop.some_eq_coe, Option.getD_some] #align polynomial.trailing_degree_ne_of_nat_trailing_degree_ne Polynomial.trailingDegree_ne_of_natTrailingDegree_ne theorem natTrailingDegree_le_of_trailingDegree_le {n : ℕ} {hp : p ≠ 0} (H : (n : ℕ∞) ≤ trailingDegree p) : n ≤ natTrailingDegree p := by rw [trailingDegree_eq_natTrailingDegree hp] at H exact WithTop.coe_le_coe.mp H #align polynomial.nat_trailing_degree_le_of_trailing_degree_le Polynomial.natTrailingDegree_le_of_trailingDegree_le theorem natTrailingDegree_le_natTrailingDegree {hq : q ≠ 0} (hpq : p.trailingDegree ≤ q.trailingDegree) : p.natTrailingDegree ≤ q.natTrailingDegree := by by_cases hp : p = 0; · rw [hp, natTrailingDegree_zero] exact zero_le _ rw [trailingDegree_eq_natTrailingDegree hp, trailingDegree_eq_natTrailingDegree hq] at hpq exact WithTop.coe_le_coe.1 hpq #align polynomial.nat_trailing_degree_le_nat_trailing_degree Polynomial.natTrailingDegree_le_natTrailingDegree @[simp] theorem trailingDegree_monomial (ha : a ≠ 0) : trailingDegree (monomial n a) = n := by rw [trailingDegree, support_monomial n ha, min_singleton] rfl #align polynomial.trailing_degree_monomial Polynomial.trailingDegree_monomial theorem natTrailingDegree_monomial (ha : a ≠ 0) : natTrailingDegree (monomial n a) = n := by rw [natTrailingDegree, trailingDegree_monomial ha] rfl #align polynomial.nat_trailing_degree_monomial Polynomial.natTrailingDegree_monomial theorem natTrailingDegree_monomial_le : natTrailingDegree (monomial n a) ≤ n := letI := Classical.decEq R if ha : a = 0 then by simp [ha] else (natTrailingDegree_monomial ha).le #align polynomial.nat_trailing_degree_monomial_le Polynomial.natTrailingDegree_monomial_le theorem le_trailingDegree_monomial : ↑n ≤ trailingDegree (monomial n a) := letI := Classical.decEq R if ha : a = 0 then by simp [ha] else (trailingDegree_monomial ha).ge #align polynomial.le_trailing_degree_monomial Polynomial.le_trailingDegree_monomial @[simp] theorem trailingDegree_C (ha : a ≠ 0) : trailingDegree (C a) = (0 : ℕ∞) := trailingDegree_monomial ha set_option linter.uppercaseLean3 false in #align polynomial.trailing_degree_C Polynomial.trailingDegree_C theorem le_trailingDegree_C : (0 : ℕ∞) ≤ trailingDegree (C a) := le_trailingDegree_monomial set_option linter.uppercaseLean3 false in #align polynomial.le_trailing_degree_C Polynomial.le_trailingDegree_C theorem trailingDegree_one_le : (0 : ℕ∞) ≤ trailingDegree (1 : R[X]) := by rw [← C_1] exact le_trailingDegree_C #align polynomial.trailing_degree_one_le Polynomial.trailingDegree_one_le @[simp] theorem natTrailingDegree_C (a : R) : natTrailingDegree (C a) = 0 := nonpos_iff_eq_zero.1 natTrailingDegree_monomial_le set_option linter.uppercaseLean3 false in #align polynomial.nat_trailing_degree_C Polynomial.natTrailingDegree_C @[simp] theorem natTrailingDegree_one : natTrailingDegree (1 : R[X]) = 0 := natTrailingDegree_C 1 #align polynomial.nat_trailing_degree_one Polynomial.natTrailingDegree_one @[simp] theorem natTrailingDegree_natCast (n : ℕ) : natTrailingDegree (n : R[X]) = 0 := by simp only [← C_eq_natCast, natTrailingDegree_C] #align polynomial.nat_trailing_degree_nat_cast Polynomial.natTrailingDegree_natCast @[deprecated (since := "2024-04-17")] alias natTrailingDegree_nat_cast := natTrailingDegree_natCast @[simp] theorem trailingDegree_C_mul_X_pow (n : ℕ) (ha : a ≠ 0) : trailingDegree (C a * X ^ n) = n := by rw [C_mul_X_pow_eq_monomial, trailingDegree_monomial ha] set_option linter.uppercaseLean3 false in #align polynomial.trailing_degree_C_mul_X_pow Polynomial.trailingDegree_C_mul_X_pow theorem le_trailingDegree_C_mul_X_pow (n : ℕ) (a : R) : (n : ℕ∞) ≤ trailingDegree (C a * X ^ n) := by rw [C_mul_X_pow_eq_monomial] exact le_trailingDegree_monomial set_option linter.uppercaseLean3 false in #align polynomial.le_trailing_degree_C_mul_X_pow Polynomial.le_trailingDegree_C_mul_X_pow theorem coeff_eq_zero_of_lt_trailingDegree (h : (n : ℕ∞) < trailingDegree p) : coeff p n = 0 := Classical.not_not.1 (mt trailingDegree_le_of_ne_zero (not_le_of_gt h)) #align polynomial.coeff_eq_zero_of_trailing_degree_lt Polynomial.coeff_eq_zero_of_lt_trailingDegree theorem coeff_eq_zero_of_lt_natTrailingDegree {p : R[X]} {n : ℕ} (h : n < p.natTrailingDegree) : p.coeff n = 0 := by apply coeff_eq_zero_of_lt_trailingDegree by_cases hp : p = 0 · rw [hp, trailingDegree_zero] exact WithTop.coe_lt_top n · rw [trailingDegree_eq_natTrailingDegree hp] exact WithTop.coe_lt_coe.2 h #align polynomial.coeff_eq_zero_of_lt_nat_trailing_degree Polynomial.coeff_eq_zero_of_lt_natTrailingDegree @[simp] theorem coeff_natTrailingDegree_pred_eq_zero {p : R[X]} {hp : (0 : ℕ∞) < natTrailingDegree p} : p.coeff (p.natTrailingDegree - 1) = 0 := coeff_eq_zero_of_lt_natTrailingDegree <| Nat.sub_lt ((WithTop.zero_lt_coe (natTrailingDegree p)).mp hp) Nat.one_pos #align polynomial.coeff_nat_trailing_degree_pred_eq_zero Polynomial.coeff_natTrailingDegree_pred_eq_zero theorem le_trailingDegree_X_pow (n : ℕ) : (n : ℕ∞) ≤ trailingDegree (X ^ n : R[X]) := by simpa only [C_1, one_mul] using le_trailingDegree_C_mul_X_pow n (1 : R) set_option linter.uppercaseLean3 false in #align polynomial.le_trailing_degree_X_pow Polynomial.le_trailingDegree_X_pow theorem le_trailingDegree_X : (1 : ℕ∞) ≤ trailingDegree (X : R[X]) := le_trailingDegree_monomial set_option linter.uppercaseLean3 false in #align polynomial.le_trailing_degree_X Polynomial.le_trailingDegree_X theorem natTrailingDegree_X_le : (X : R[X]).natTrailingDegree ≤ 1 := natTrailingDegree_monomial_le set_option linter.uppercaseLean3 false in #align polynomial.nat_trailing_degree_X_le Polynomial.natTrailingDegree_X_le @[simp] theorem trailingCoeff_eq_zero : trailingCoeff p = 0 ↔ p = 0 := ⟨fun h => _root_.by_contradiction fun hp => mt mem_support_iff.1 (Classical.not_not.2 h) (mem_of_min (trailingDegree_eq_natTrailingDegree hp)), fun h => h.symm ▸ leadingCoeff_zero⟩ #align polynomial.trailing_coeff_eq_zero Polynomial.trailingCoeff_eq_zero theorem trailingCoeff_nonzero_iff_nonzero : trailingCoeff p ≠ 0 ↔ p ≠ 0 := not_congr trailingCoeff_eq_zero #align polynomial.trailing_coeff_nonzero_iff_nonzero Polynomial.trailingCoeff_nonzero_iff_nonzero theorem natTrailingDegree_mem_support_of_nonzero : p ≠ 0 → natTrailingDegree p ∈ p.support := mem_support_iff.mpr ∘ trailingCoeff_nonzero_iff_nonzero.mpr #align polynomial.nat_trailing_degree_mem_support_of_nonzero Polynomial.natTrailingDegree_mem_support_of_nonzero theorem natTrailingDegree_le_of_mem_supp (a : ℕ) : a ∈ p.support → natTrailingDegree p ≤ a := natTrailingDegree_le_of_ne_zero ∘ mem_support_iff.mp #align polynomial.nat_trailing_degree_le_of_mem_supp Polynomial.natTrailingDegree_le_of_mem_supp theorem natTrailingDegree_eq_support_min' (h : p ≠ 0) : natTrailingDegree p = p.support.min' (nonempty_support_iff.mpr h) := by apply le_antisymm · apply le_min' intro y hy exact natTrailingDegree_le_of_mem_supp y hy · apply Finset.min'_le exact mem_support_iff.mpr (trailingCoeff_nonzero_iff_nonzero.mpr h) #align polynomial.nat_trailing_degree_eq_support_min' Polynomial.natTrailingDegree_eq_support_min' theorem le_natTrailingDegree (hp : p ≠ 0) (hn : ∀ m < n, p.coeff m = 0) : n ≤ p.natTrailingDegree := by rw [natTrailingDegree_eq_support_min' hp] exact Finset.le_min' _ _ _ fun m hm => not_lt.1 fun hmn => mem_support_iff.1 hm <| hn _ hmn #align polynomial.le_nat_trailing_degree Polynomial.le_natTrailingDegree theorem natTrailingDegree_le_natDegree (p : R[X]) : p.natTrailingDegree ≤ p.natDegree := by by_cases hp : p = 0 · rw [hp, natDegree_zero, natTrailingDegree_zero] · exact le_natDegree_of_ne_zero (mt trailingCoeff_eq_zero.mp hp) #align polynomial.nat_trailing_degree_le_nat_degree Polynomial.natTrailingDegree_le_natDegree theorem natTrailingDegree_mul_X_pow {p : R[X]} (hp : p ≠ 0) (n : ℕ) : (p * X ^ n).natTrailingDegree = p.natTrailingDegree + n := by apply le_antisymm · refine natTrailingDegree_le_of_ne_zero fun h => mt trailingCoeff_eq_zero.mp hp ?_ rwa [trailingCoeff, ← coeff_mul_X_pow] · rw [natTrailingDegree_eq_support_min' fun h => hp (mul_X_pow_eq_zero h), Finset.le_min'_iff] intro y hy have key : n ≤ y := by rw [mem_support_iff, coeff_mul_X_pow'] at hy exact by_contra fun h => hy (if_neg h) rw [mem_support_iff, coeff_mul_X_pow', if_pos key] at hy exact (le_tsub_iff_right key).mp (natTrailingDegree_le_of_ne_zero hy) set_option linter.uppercaseLean3 false in #align polynomial.nat_trailing_degree_mul_X_pow Polynomial.natTrailingDegree_mul_X_pow theorem le_trailingDegree_mul : p.trailingDegree + q.trailingDegree ≤ (p * q).trailingDegree := by refine Finset.le_min fun n hn => ?_ rw [mem_support_iff, coeff_mul] at hn obtain ⟨⟨i, j⟩, hij, hpq⟩ := exists_ne_zero_of_sum_ne_zero hn refine (add_le_add (min_le (mem_support_iff.mpr (left_ne_zero_of_mul hpq))) (min_le (mem_support_iff.mpr (right_ne_zero_of_mul hpq)))).trans (le_of_eq ?_) rwa [← WithTop.coe_add, WithTop.coe_eq_coe, ← mem_antidiagonal] #align polynomial.le_trailing_degree_mul Polynomial.le_trailingDegree_mul theorem le_natTrailingDegree_mul (h : p * q ≠ 0) : p.natTrailingDegree + q.natTrailingDegree ≤ (p * q).natTrailingDegree := by have hp : p ≠ 0 := fun hp => h (by rw [hp, zero_mul]) have hq : q ≠ 0 := fun hq => h (by rw [hq, mul_zero]) -- Porting note: Needed to account for different coercion behaviour & add the lemma below have : ∀ (p : R[X]), WithTop.some (natTrailingDegree p) = Nat.cast (natTrailingDegree p) := fun p ↦ rfl rw [← WithTop.coe_le_coe, WithTop.coe_add, this p, this q, this (p * q), ← trailingDegree_eq_natTrailingDegree hp, ← trailingDegree_eq_natTrailingDegree hq, ← trailingDegree_eq_natTrailingDegree h] exact le_trailingDegree_mul #align polynomial.le_nat_trailing_degree_mul Polynomial.le_natTrailingDegree_mul
Mathlib/Algebra/Polynomial/Degree/TrailingDegree.lean
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theorem coeff_mul_natTrailingDegree_add_natTrailingDegree : (p * q).coeff (p.natTrailingDegree + q.natTrailingDegree) = p.trailingCoeff * q.trailingCoeff := by
rw [coeff_mul] refine Finset.sum_eq_single (p.natTrailingDegree, q.natTrailingDegree) ?_ fun h => (h (mem_antidiagonal.mpr rfl)).elim rintro ⟨i, j⟩ h₁ h₂ rw [mem_antidiagonal] at h₁ by_cases hi : i < p.natTrailingDegree · rw [coeff_eq_zero_of_lt_natTrailingDegree hi, zero_mul] by_cases hj : j < q.natTrailingDegree · rw [coeff_eq_zero_of_lt_natTrailingDegree hj, mul_zero] rw [not_lt] at hi hj refine (h₂ (Prod.ext_iff.mpr ?_).symm).elim exact (add_eq_add_iff_eq_and_eq hi hj).mp h₁.symm
import Mathlib.Algebra.Module.Submodule.EqLocus import Mathlib.Algebra.Module.Submodule.RestrictScalars import Mathlib.Algebra.Ring.Idempotents import Mathlib.Data.Set.Pointwise.SMul import Mathlib.LinearAlgebra.Basic import Mathlib.Order.CompactlyGenerated.Basic import Mathlib.Order.OmegaCompletePartialOrder #align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0" variable {R R₂ K M M₂ V S : Type*} namespace Submodule open Function Set open Pointwise section AddCommMonoid variable [Semiring R] [AddCommMonoid M] [Module R M] variable {x : M} (p p' : Submodule R M) variable [Semiring R₂] {σ₁₂ : R →+* R₂} variable [AddCommMonoid M₂] [Module R₂ M₂] variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂] section variable (R) def span (s : Set M) : Submodule R M := sInf { p | s ⊆ p } #align submodule.span Submodule.span variable {R} -- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument @[mk_iff] class IsPrincipal (S : Submodule R M) : Prop where principal' : ∃ a, S = span R {a} #align submodule.is_principal Submodule.IsPrincipal theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] : ∃ a, S = span R {a} := Submodule.IsPrincipal.principal' #align submodule.is_principal.principal Submodule.IsPrincipal.principal end variable {s t : Set M} theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p := mem_iInter₂ #align submodule.mem_span Submodule.mem_span @[aesop safe 20 apply (rule_sets := [SetLike])] theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h #align submodule.subset_span Submodule.subset_span theorem span_le {p} : span R s ≤ p ↔ s ⊆ p := ⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩ #align submodule.span_le Submodule.span_le theorem span_mono (h : s ⊆ t) : span R s ≤ span R t := span_le.2 <| Subset.trans h subset_span #align submodule.span_mono Submodule.span_mono theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono #align submodule.span_monotone Submodule.span_monotone theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p := le_antisymm (span_le.2 h₁) h₂ #align submodule.span_eq_of_le Submodule.span_eq_of_le theorem span_eq : span R (p : Set M) = p := span_eq_of_le _ (Subset.refl _) subset_span #align submodule.span_eq Submodule.span_eq theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t := le_antisymm (span_le.2 hs) (span_le.2 ht) #align submodule.span_eq_span Submodule.span_eq_span lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) : (span R (s : Set M) : Set M) = s := by refine le_antisymm ?_ subset_span let s' : Submodule R M := { carrier := s add_mem' := add_mem zero_mem' := zero_mem _ smul_mem' := SMulMemClass.smul_mem } exact span_le (p := s') |>.mpr le_rfl @[simp] theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] : span S (p : Set M) = p.restrictScalars S := span_eq (p.restrictScalars S) #align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) : f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f) theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) := (image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩ theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) : (span R s).map f = span R₂ (f '' s) := Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s) #align submodule.map_span Submodule.map_span alias _root_.LinearMap.map_span := Submodule.map_span #align linear_map.map_span LinearMap.map_span theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) : map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N #align submodule.map_span_le Submodule.map_span_le alias _root_.LinearMap.map_span_le := Submodule.map_span_le #align linear_map.map_span_le LinearMap.map_span_le @[simp] theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s)) rw [span_le, Set.insert_subset_iff] exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩ #align submodule.span_insert_zero Submodule.span_insert_zero -- See also `span_preimage_eq` below. theorem span_preimage_le (f : F) (s : Set M₂) : span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by rw [span_le, comap_coe] exact preimage_mono subset_span #align submodule.span_preimage_le Submodule.span_preimage_le alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le #align linear_map.span_preimage_le LinearMap.span_preimage_le theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s := (@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span #align submodule.closure_subset_span Submodule.closure_subset_span theorem closure_le_toAddSubmonoid_span {s : Set M} : AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid := closure_subset_span #align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span @[simp] theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s := le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure) #align submodule.span_closure Submodule.span_closure @[elab_as_elim] theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0) (add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x := ((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h #align submodule.span_induction Submodule.span_induction theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s) (hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y) (zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0) (add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y) (add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂)) (smul_left : ∀ (r : R) x y, p x y → p (r • x) y) (smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b := Submodule.span_induction ha (fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r => smul_right r x) (zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b @[elab_as_elim] theorem span_induction' {p : ∀ x, x ∈ span R s → Prop} (mem : ∀ (x) (h : x ∈ s), p x (subset_span h)) (zero : p 0 (Submodule.zero_mem _)) (add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) (smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x} (hx : x ∈ span R s) : p x hx := by refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc refine span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩ (fun x y hx hy => Exists.elim hx fun hx' hx => Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩) fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩ #align submodule.span_induction' Submodule.span_induction' open AddSubmonoid in theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by refine le_antisymm (fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩) (zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_) (closure_le.2 ?_) · rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm) · rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩ · rw [smul_zero]; apply zero_mem · rw [smul_add]; exact add_mem h h' @[elab_as_elim] theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0) (add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by rw [← mem_toAddSubmonoid, span_eq_closure] at h refine AddSubmonoid.closure_induction h ?_ zero add rintro _ ⟨r, -, m, hm, rfl⟩ exact smul_mem r m hm @[elab_as_elim] theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop} (zero : p 0 (Submodule.zero_mem _)) (add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) (smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x} (hx : x ∈ span R s) : p x hx := by refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc refine closure_induction hx ⟨zero_mem _, zero⟩ (fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦ Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩) fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩ @[simp] theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ := eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s)) (fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx · exact zero_mem _ · exact add_mem · exact smul_mem _ _ #align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage @[simp] lemma span_setOf_mem_eq_top : span R {x : span R s | (x : M) ∈ s} = ⊤ := span_span_coe_preimage theorem span_nat_eq_addSubmonoid_closure (s : Set M) : (span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_) apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le (a := span ℕ s) (b := AddSubmonoid.closure s) rw [span_le] exact AddSubmonoid.subset_closure #align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure @[simp] theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by rw [span_nat_eq_addSubmonoid_closure, s.closure_eq] #align submodule.span_nat_eq Submodule.span_nat_eq theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) : (span ℤ s).toAddSubgroup = AddSubgroup.closure s := Eq.symm <| AddSubgroup.closure_eq_of_le _ subset_span fun x hx => span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _) (fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _ #align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure @[simp] theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) : (span ℤ (s : Set M)).toAddSubgroup = s := by rw [span_int_eq_addSubgroup_closure, s.closure_eq] #align submodule.span_int_eq Submodule.span_int_eq section variable (R M) protected def gi : GaloisInsertion (@span R M _ _ _) (↑) where choice s _ := span R s gc _ _ := span_le le_l_u _ := subset_span choice_eq _ _ := rfl #align submodule.gi Submodule.gi end @[simp] theorem span_empty : span R (∅ : Set M) = ⊥ := (Submodule.gi R M).gc.l_bot #align submodule.span_empty Submodule.span_empty @[simp] theorem span_univ : span R (univ : Set M) = ⊤ := eq_top_iff.2 <| SetLike.le_def.2 <| subset_span #align submodule.span_univ Submodule.span_univ theorem span_union (s t : Set M) : span R (s ∪ t) = span R s ⊔ span R t := (Submodule.gi R M).gc.l_sup #align submodule.span_union Submodule.span_union theorem span_iUnion {ι} (s : ι → Set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) := (Submodule.gi R M).gc.l_iSup #align submodule.span_Union Submodule.span_iUnion theorem span_iUnion₂ {ι} {κ : ι → Sort*} (s : ∀ i, κ i → Set M) : span R (⋃ (i) (j), s i j) = ⨆ (i) (j), span R (s i j) := (Submodule.gi R M).gc.l_iSup₂ #align submodule.span_Union₂ Submodule.span_iUnion₂
Mathlib/LinearAlgebra/Span.lean
332
333
theorem span_attach_biUnion [DecidableEq M] {α : Type*} (s : Finset α) (f : s → Finset M) : span R (s.attach.biUnion f : Set M) = ⨆ x, span R (f x) := by
simp [span_iUnion]
import Mathlib.AlgebraicGeometry.AffineScheme import Mathlib.AlgebraicGeometry.Pullbacks import Mathlib.CategoryTheory.MorphismProperty.Limits import Mathlib.Data.List.TFAE #align_import algebraic_geometry.morphisms.basic from "leanprover-community/mathlib"@"434e2fd21c1900747afc6d13d8be7f4eedba7218" set_option linter.uppercaseLean3 false universe u open TopologicalSpace CategoryTheory CategoryTheory.Limits Opposite noncomputable section namespace AlgebraicGeometry def AffineTargetMorphismProperty := ∀ ⦃X Y : Scheme⦄ (_ : X ⟶ Y) [IsAffine Y], Prop #align algebraic_geometry.affine_target_morphism_property AlgebraicGeometry.AffineTargetMorphismProperty protected def Scheme.isIso : MorphismProperty Scheme := @IsIso Scheme _ #align algebraic_geometry.Scheme.is_iso AlgebraicGeometry.Scheme.isIso protected def Scheme.affineTargetIsIso : AffineTargetMorphismProperty := fun _ _ f _ => IsIso f #align algebraic_geometry.Scheme.affine_target_is_iso AlgebraicGeometry.Scheme.affineTargetIsIso instance : Inhabited AffineTargetMorphismProperty := ⟨Scheme.affineTargetIsIso⟩ def AffineTargetMorphismProperty.toProperty (P : AffineTargetMorphismProperty) : MorphismProperty Scheme := fun _ _ f => ∃ h, @P _ _ f h #align algebraic_geometry.affine_target_morphism_property.to_property AlgebraicGeometry.AffineTargetMorphismProperty.toProperty theorem AffineTargetMorphismProperty.toProperty_apply (P : AffineTargetMorphismProperty) {X Y : Scheme} (f : X ⟶ Y) [i : IsAffine Y] : P.toProperty f ↔ P f := by delta AffineTargetMorphismProperty.toProperty; simp [*] #align algebraic_geometry.affine_target_morphism_property.to_property_apply AlgebraicGeometry.AffineTargetMorphismProperty.toProperty_apply theorem affine_cancel_left_isIso {P : AffineTargetMorphismProperty} (hP : P.toProperty.RespectsIso) {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [IsIso f] [IsAffine Z] : P (f ≫ g) ↔ P g := by rw [← P.toProperty_apply, ← P.toProperty_apply, hP.cancel_left_isIso] #align algebraic_geometry.affine_cancel_left_is_iso AlgebraicGeometry.affine_cancel_left_isIso theorem affine_cancel_right_isIso {P : AffineTargetMorphismProperty} (hP : P.toProperty.RespectsIso) {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [IsIso g] [IsAffine Z] [IsAffine Y] : P (f ≫ g) ↔ P f := by rw [← P.toProperty_apply, ← P.toProperty_apply, hP.cancel_right_isIso] #align algebraic_geometry.affine_cancel_right_is_iso AlgebraicGeometry.affine_cancel_right_isIso theorem AffineTargetMorphismProperty.respectsIso_mk {P : AffineTargetMorphismProperty} (h₁ : ∀ {X Y Z} (e : X ≅ Y) (f : Y ⟶ Z) [IsAffine Z], P f → P (e.hom ≫ f)) (h₂ : ∀ {X Y Z} (e : Y ≅ Z) (f : X ⟶ Y) [h : IsAffine Y], P f → @P _ _ (f ≫ e.hom) (isAffineOfIso e.inv)) : P.toProperty.RespectsIso := by constructor · rintro X Y Z e f ⟨a, h⟩; exact ⟨a, h₁ e f h⟩ · rintro X Y Z e f ⟨a, h⟩; exact ⟨isAffineOfIso e.inv, h₂ e f h⟩ #align algebraic_geometry.affine_target_morphism_property.respects_iso_mk AlgebraicGeometry.AffineTargetMorphismProperty.respectsIso_mk def targetAffineLocally (P : AffineTargetMorphismProperty) : MorphismProperty Scheme := fun {X Y : Scheme} (f : X ⟶ Y) => ∀ U : Y.affineOpens, @P _ _ (f ∣_ U) U.prop #align algebraic_geometry.target_affine_locally AlgebraicGeometry.targetAffineLocally theorem IsAffineOpen.map_isIso {X Y : Scheme} {U : Opens Y.carrier} (hU : IsAffineOpen U) (f : X ⟶ Y) [IsIso f] : IsAffineOpen ((Opens.map f.1.base).obj U) := haveI : IsAffine _ := hU isAffineOfIso (f ∣_ U) #align algebraic_geometry.is_affine_open.map_is_iso AlgebraicGeometry.IsAffineOpen.map_isIso theorem targetAffineLocally_respectsIso {P : AffineTargetMorphismProperty} (hP : P.toProperty.RespectsIso) : (targetAffineLocally P).RespectsIso := by constructor · introv H U rw [morphismRestrict_comp, affine_cancel_left_isIso hP] exact H U · introv H rintro ⟨U, hU : IsAffineOpen U⟩; dsimp haveI : IsAffine _ := hU.map_isIso e.hom rw [morphismRestrict_comp, affine_cancel_right_isIso hP] exact H ⟨(Opens.map e.hom.val.base).obj U, hU.map_isIso e.hom⟩ #align algebraic_geometry.target_affine_locally_respects_iso AlgebraicGeometry.targetAffineLocally_respectsIso structure AffineTargetMorphismProperty.IsLocal (P : AffineTargetMorphismProperty) : Prop where RespectsIso : P.toProperty.RespectsIso toBasicOpen : ∀ {X Y : Scheme} [IsAffine Y] (f : X ⟶ Y) (r : Y.presheaf.obj <| op ⊤), P f → @P _ _ (f ∣_ Y.basicOpen r) ((topIsAffineOpen Y).basicOpenIsAffine _) ofBasicOpenCover : ∀ {X Y : Scheme} [IsAffine Y] (f : X ⟶ Y) (s : Finset (Y.presheaf.obj <| op ⊤)) (_ : Ideal.span (s : Set (Y.presheaf.obj <| op ⊤)) = ⊤), (∀ r : s, @P _ _ (f ∣_ Y.basicOpen r.1) ((topIsAffineOpen Y).basicOpenIsAffine _)) → P f #align algebraic_geometry.affine_target_morphism_property.is_local AlgebraicGeometry.AffineTargetMorphismProperty.IsLocal @[local simp] lemma CommRingCat.id_apply (R : CommRingCat) (x : R) : 𝟙 R x = x := rfl theorem targetAffineLocallyOfOpenCover {P : AffineTargetMorphismProperty} (hP : P.IsLocal) {X Y : Scheme} (f : X ⟶ Y) (𝒰 : Y.OpenCover) [∀ i, IsAffine (𝒰.obj i)] (h𝒰 : ∀ i, P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i)) : targetAffineLocally P f := by classical let S i := (⟨⟨Set.range (𝒰.map i).1.base, (𝒰.IsOpen i).base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion (𝒰.map i)⟩ : Y.affineOpens) intro U apply of_affine_open_cover (P := _) U (Set.range S) · intro U r h haveI : IsAffine _ := U.2 have := hP.2 (f ∣_ U.1) replace this := this (Y.presheaf.map (eqToHom U.1.openEmbedding_obj_top).op r) h rw [← P.toProperty_apply] at this ⊢ exact (hP.1.arrow_mk_iso_iff (morphismRestrictRestrictBasicOpen f _ r)).mp this · intro U s hs H haveI : IsAffine _ := U.2 apply hP.3 (f ∣_ U.1) (s.image (Y.presheaf.map (eqToHom U.1.openEmbedding_obj_top).op)) · apply_fun Ideal.comap (Y.presheaf.map (eqToHom U.1.openEmbedding_obj_top.symm).op) at hs rw [Ideal.comap_top] at hs rw [← hs] simp only [eqToHom_op, eqToHom_map, Finset.coe_image] have : ∀ {R S : CommRingCat} (e : S = R) (s : Set S), Ideal.span (eqToHom e '' s) = Ideal.comap (eqToHom e.symm) (Ideal.span s) := by intro _ S e _ subst e simp only [eqToHom_refl, CommRingCat.id_apply, Set.image_id'] -- Porting note: Lean didn't see `𝟙 _` is just ring hom id exact (Ideal.comap_id _).symm apply this · rintro ⟨r, hr⟩ obtain ⟨r, hr', rfl⟩ := Finset.mem_image.mp hr specialize H ⟨r, hr'⟩ rw [← P.toProperty_apply] at H ⊢ exact (hP.1.arrow_mk_iso_iff (morphismRestrictRestrictBasicOpen f _ r)).mpr H · rw [Set.eq_univ_iff_forall] simp only [Set.mem_iUnion] intro x exact ⟨⟨_, ⟨𝒰.f x, rfl⟩⟩, 𝒰.Covers x⟩ · rintro ⟨_, i, rfl⟩ specialize h𝒰 i rw [← P.toProperty_apply] at h𝒰 ⊢ exact (hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)).mpr h𝒰 #align algebraic_geometry.target_affine_locally_of_open_cover AlgebraicGeometry.targetAffineLocallyOfOpenCover open List in theorem AffineTargetMorphismProperty.IsLocal.affine_openCover_TFAE {P : AffineTargetMorphismProperty} (hP : P.IsLocal) {X Y : Scheme.{u}} (f : X ⟶ Y) : TFAE [targetAffineLocally P f, ∃ (𝒰 : Scheme.OpenCover.{u} Y) (_ : ∀ i, IsAffine (𝒰.obj i)), ∀ i : 𝒰.J, P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i), ∀ (𝒰 : Scheme.OpenCover.{u} Y) [∀ i, IsAffine (𝒰.obj i)] (i : 𝒰.J), P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i), ∀ {U : Scheme} (g : U ⟶ Y) [IsAffine U] [IsOpenImmersion g], P (pullback.snd : pullback f g ⟶ U), ∃ (ι : Type u) (U : ι → Opens Y.carrier) (_ : iSup U = ⊤) (hU' : ∀ i, IsAffineOpen (U i)), ∀ i, @P _ _ (f ∣_ U i) (hU' i)] := by tfae_have 1 → 4 · intro H U g h₁ h₂ replace H := H ⟨⟨_, h₂.base_open.isOpen_range⟩, rangeIsAffineOpenOfOpenImmersion g⟩ rw [← P.toProperty_apply] at H ⊢ rwa [← hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)] tfae_have 4 → 3 · intro H 𝒰 h𝒰 i apply H tfae_have 3 → 2 · exact fun H => ⟨Y.affineCover, inferInstance, H Y.affineCover⟩ tfae_have 2 → 1 · rintro ⟨𝒰, h𝒰, H⟩; exact targetAffineLocallyOfOpenCover hP f 𝒰 H tfae_have 5 → 2 · rintro ⟨ι, U, hU, hU', H⟩ refine ⟨Y.openCoverOfSuprEqTop U hU, hU', ?_⟩ intro i specialize H i rw [← P.toProperty_apply, ← hP.1.arrow_mk_iso_iff (morphismRestrictOpensRange f _)] rw [← P.toProperty_apply] at H convert H all_goals ext1; exact Subtype.range_coe tfae_have 1 → 5 · intro H refine ⟨Y.carrier, fun x => (Scheme.Hom.opensRange <| Y.affineCover.map x), ?_, fun i => rangeIsAffineOpenOfOpenImmersion _, ?_⟩ · rw [eq_top_iff]; intro x _; erw [Opens.mem_iSup]; exact ⟨x, Y.affineCover.Covers x⟩ · intro i; exact H ⟨_, rangeIsAffineOpenOfOpenImmersion _⟩ tfae_finish #align algebraic_geometry.affine_target_morphism_property.is_local.affine_open_cover_tfae AlgebraicGeometry.AffineTargetMorphismProperty.IsLocal.affine_openCover_TFAE
Mathlib/AlgebraicGeometry/Morphisms/Basic.lean
257
284
theorem AffineTargetMorphismProperty.isLocalOfOpenCoverImply (P : AffineTargetMorphismProperty) (hP : P.toProperty.RespectsIso) (H : ∀ {X Y : Scheme.{u}} (f : X ⟶ Y), (∃ (𝒰 : Scheme.OpenCover.{u} Y) (_ : ∀ i, IsAffine (𝒰.obj i)), ∀ i : 𝒰.J, P (pullback.snd : (𝒰.pullbackCover f).obj i ⟶ 𝒰.obj i)) → ∀ {U : Scheme} (g : U ⟶ Y) [IsAffine U] [IsOpenImmersion g], P (pullback.snd : pullback f g ⟶ U)) : P.IsLocal := by
refine ⟨hP, ?_, ?_⟩ · introv h haveI : IsAffine _ := (topIsAffineOpen Y).basicOpenIsAffine r delta morphismRestrict rw [affine_cancel_left_isIso hP] refine @H _ _ f ⟨Scheme.openCoverOfIsIso (𝟙 Y), ?_, ?_⟩ _ (Y.ofRestrict _) _ _ · intro i; dsimp; infer_instance · intro i; dsimp rwa [← Category.comp_id pullback.snd, ← pullback.condition, affine_cancel_left_isIso hP] · introv hs hs' replace hs := ((topIsAffineOpen Y).basicOpen_union_eq_self_iff _).mpr hs have := H f ⟨Y.openCoverOfSuprEqTop _ hs, ?_, ?_⟩ (𝟙 _) · rwa [← Category.comp_id pullback.snd, ← pullback.condition, affine_cancel_left_isIso hP] at this · intro i; exact (topIsAffineOpen Y).basicOpenIsAffine _ · rintro (i : s) specialize hs' i haveI : IsAffine _ := (topIsAffineOpen Y).basicOpenIsAffine i.1 delta morphismRestrict at hs' rwa [affine_cancel_left_isIso hP] at hs'
import Mathlib.Topology.Category.TopCat.Limits.Pullbacks import Mathlib.Geometry.RingedSpace.LocallyRingedSpace #align_import algebraic_geometry.open_immersion.basic from "leanprover-community/mathlib"@"533f62f4dd62a5aad24a04326e6e787c8f7e98b1" -- Porting note: due to `PresheafedSpace`, `SheafedSpace` and `LocallyRingedSpace` set_option linter.uppercaseLean3 false open TopologicalSpace CategoryTheory Opposite open CategoryTheory.Limits namespace AlgebraicGeometry universe v v₁ v₂ u variable {C : Type u} [Category.{v} C] class PresheafedSpace.IsOpenImmersion {X Y : PresheafedSpace C} (f : X ⟶ Y) : Prop where base_open : OpenEmbedding f.base c_iso : ∀ U : Opens X, IsIso (f.c.app (op (base_open.isOpenMap.functor.obj U))) #align algebraic_geometry.PresheafedSpace.is_open_immersion AlgebraicGeometry.PresheafedSpace.IsOpenImmersion abbrev SheafedSpace.IsOpenImmersion {X Y : SheafedSpace C} (f : X ⟶ Y) : Prop := PresheafedSpace.IsOpenImmersion f #align algebraic_geometry.SheafedSpace.is_open_immersion AlgebraicGeometry.SheafedSpace.IsOpenImmersion abbrev LocallyRingedSpace.IsOpenImmersion {X Y : LocallyRingedSpace} (f : X ⟶ Y) : Prop := SheafedSpace.IsOpenImmersion f.1 #align algebraic_geometry.LocallyRingedSpace.is_open_immersion AlgebraicGeometry.LocallyRingedSpace.IsOpenImmersion namespace PresheafedSpace.IsOpenImmersion open PresheafedSpace local notation "IsOpenImmersion" => PresheafedSpace.IsOpenImmersion attribute [instance] IsOpenImmersion.c_iso section variable {X Y : PresheafedSpace C} {f : X ⟶ Y} (H : IsOpenImmersion f) abbrev openFunctor := H.base_open.isOpenMap.functor #align algebraic_geometry.PresheafedSpace.is_open_immersion.open_functor AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.openFunctor @[simps! hom_c_app] noncomputable def isoRestrict : X ≅ Y.restrict H.base_open := PresheafedSpace.isoOfComponents (Iso.refl _) <| by symm fapply NatIso.ofComponents · intro U refine asIso (f.c.app (op (H.openFunctor.obj (unop U)))) ≪≫ X.presheaf.mapIso (eqToIso ?_) induction U using Opposite.rec' with | h U => ?_ cases U dsimp only [IsOpenMap.functor, Functor.op, Opens.map] congr 2 erw [Set.preimage_image_eq _ H.base_open.inj] rfl · intro U V i simp only [CategoryTheory.eqToIso.hom, TopCat.Presheaf.pushforwardObj_map, Category.assoc, Functor.op_map, Iso.trans_hom, asIso_hom, Functor.mapIso_hom, ← X.presheaf.map_comp] erw [f.c.naturality_assoc, ← X.presheaf.map_comp] congr 1 #align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict @[simp] theorem isoRestrict_hom_ofRestrict : H.isoRestrict.hom ≫ Y.ofRestrict _ = f := by -- Porting note: `ext` did not pick up `NatTrans.ext` refine PresheafedSpace.Hom.ext _ _ rfl <| NatTrans.ext _ _ <| funext fun x => ?_ simp only [isoRestrict_hom_c_app, NatTrans.comp_app, eqToHom_refl, ofRestrict_c_app, Category.assoc, whiskerRight_id'] erw [Category.comp_id, comp_c_app, f.c.naturality_assoc, ← X.presheaf.map_comp] trans f.c.app x ≫ X.presheaf.map (𝟙 _) · congr 1 · erw [X.presheaf.map_id, Category.comp_id] #align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict_hom_of_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict_hom_ofRestrict @[simp] theorem isoRestrict_inv_ofRestrict : H.isoRestrict.inv ≫ f = Y.ofRestrict _ := by rw [Iso.inv_comp_eq, isoRestrict_hom_ofRestrict] #align algebraic_geometry.PresheafedSpace.is_open_immersion.iso_restrict_inv_of_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.isoRestrict_inv_ofRestrict instance mono [H : IsOpenImmersion f] : Mono f := by rw [← H.isoRestrict_hom_ofRestrict]; apply mono_comp #align algebraic_geometry.PresheafedSpace.is_open_immersion.mono AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.mono instance comp {Z : PresheafedSpace C} (f : X ⟶ Y) [hf : IsOpenImmersion f] (g : Y ⟶ Z) [hg : IsOpenImmersion g] : IsOpenImmersion (f ≫ g) where base_open := hg.base_open.comp hf.base_open c_iso U := by generalize_proofs h dsimp only [AlgebraicGeometry.PresheafedSpace.comp_c_app, unop_op, Functor.op, comp_base, TopCat.Presheaf.pushforwardObj_obj, Opens.map_comp_obj] -- Porting note: was `apply (config := { instances := False }) ...` -- See https://github.com/leanprover/lean4/issues/2273 have : IsIso (g.c.app (op <| (h.functor).obj U)) := by have : h.functor.obj U = hg.openFunctor.obj (hf.openFunctor.obj U) := by ext1 dsimp only [IsOpenMap.functor_obj_coe] -- Porting note: slightly more hand holding here: `g ∘ f` and `fun x => g (f x)` erw [comp_base, coe_comp, show g.base ∘ f.base = fun x => g.base (f.base x) from rfl, ← Set.image_image] -- now `erw` after #13170 rw [this] infer_instance have : IsIso (f.c.app (op <| (Opens.map g.base).obj ((IsOpenMap.functor h).obj U))) := by have : (Opens.map g.base).obj (h.functor.obj U) = hf.openFunctor.obj U := by ext1 dsimp only [Opens.map_coe, IsOpenMap.functor_obj_coe, comp_base] -- Porting note: slightly more hand holding here: `g ∘ f` and `fun x => g (f x)` erw [coe_comp, show g.base ∘ f.base = fun x => g.base (f.base x) from rfl, ← Set.image_image g.base f.base, Set.preimage_image_eq _ hg.base_open.inj] -- now `erw` after #13170 rw [this] infer_instance apply IsIso.comp_isIso #align algebraic_geometry.PresheafedSpace.is_open_immersion.comp AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.comp noncomputable def invApp (U : Opens X) : X.presheaf.obj (op U) ⟶ Y.presheaf.obj (op (H.openFunctor.obj U)) := X.presheaf.map (eqToHom (by -- Porting note: was just `simp [opens.map, Set.preimage_image_eq _ H.base_open.inj]` -- See https://github.com/leanprover-community/mathlib4/issues/5026 -- I think this is because `Set.preimage_image_eq _ H.base_open.inj` can't see through a -- structure congr; ext dsimp [openFunctor, IsOpenMap.functor] rw [Set.preimage_image_eq _ H.base_open.inj])) ≫ inv (f.c.app (op (H.openFunctor.obj U))) #align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.invApp @[simp, reassoc] theorem inv_naturality {U V : (Opens X)ᵒᵖ} (i : U ⟶ V) : X.presheaf.map i ≫ H.invApp (unop V) = H.invApp (unop U) ≫ Y.presheaf.map (H.openFunctor.op.map i) := by simp only [invApp, ← Category.assoc] rw [IsIso.comp_inv_eq] -- Porting note: `simp` can't pick up `f.c.naturality` -- See https://github.com/leanprover-community/mathlib4/issues/5026 simp only [Category.assoc, ← X.presheaf.map_comp] erw [f.c.naturality] simp only [IsIso.inv_hom_id_assoc, ← X.presheaf.map_comp] erw [← X.presheaf.map_comp] congr 1 #align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_naturality AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.inv_naturality instance (U : Opens X) : IsIso (H.invApp U) := by delta invApp; infer_instance theorem inv_invApp (U : Opens X) : inv (H.invApp U) = f.c.app (op (H.openFunctor.obj U)) ≫ X.presheaf.map (eqToHom (by -- Porting note: was just `simp [opens.map, Set.preimage_image_eq _ H.base_open.inj]` -- See https://github.com/leanprover-community/mathlib4/issues/5026 -- I think this is because `Set.preimage_image_eq _ H.base_open.inj` can't see through a -- structure apply congr_arg (op ·); ext dsimp [openFunctor, IsOpenMap.functor] rw [Set.preimage_image_eq _ H.base_open.inj])) := by rw [← cancel_epi (H.invApp U), IsIso.hom_inv_id] delta invApp simp [← Functor.map_comp] #align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.inv_invApp @[simp, reassoc, elementwise] theorem invApp_app (U : Opens X) : H.invApp U ≫ f.c.app (op (H.openFunctor.obj U)) = X.presheaf.map (eqToHom (by -- Porting note: was just `simp [opens.map, Set.preimage_image_eq _ H.base_open.inj]` -- See https://github.com/leanprover-community/mathlib4/issues/5026 -- I think this is because `Set.preimage_image_eq _ H.base_open.inj` can't see through a -- structure apply congr_arg (op ·); ext dsimp [openFunctor, IsOpenMap.functor] rw [Set.preimage_image_eq _ H.base_open.inj])) := by rw [invApp, Category.assoc, IsIso.inv_hom_id, Category.comp_id] #align algebraic_geometry.PresheafedSpace.is_open_immersion.inv_app_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.invApp_app @[simp, reassoc] theorem app_invApp (U : Opens Y) : f.c.app (op U) ≫ H.invApp ((Opens.map f.base).obj U) = Y.presheaf.map ((homOfLE (Set.image_preimage_subset f.base U.1)).op : op U ⟶ op (H.openFunctor.obj ((Opens.map f.base).obj U))) := by erw [← Category.assoc]; rw [IsIso.comp_inv_eq, f.c.naturality]; congr #align algebraic_geometry.PresheafedSpace.is_open_immersion.app_inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.app_invApp @[reassoc] theorem app_inv_app' (U : Opens Y) (hU : (U : Set Y) ⊆ Set.range f.base) : f.c.app (op U) ≫ H.invApp ((Opens.map f.base).obj U) = Y.presheaf.map (eqToHom (by apply le_antisymm · exact Set.image_preimage_subset f.base U.1 · rw [← SetLike.coe_subset_coe] refine LE.le.trans_eq ?_ (@Set.image_preimage_eq_inter_range _ _ f.base U.1).symm exact Set.subset_inter_iff.mpr ⟨fun _ h => h, hU⟩)).op := by erw [← Category.assoc]; rw [IsIso.comp_inv_eq, f.c.naturality]; congr #align algebraic_geometry.PresheafedSpace.is_open_immersion.app_inv_app' AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.app_inv_app' instance ofIso {X Y : PresheafedSpace C} (H : X ≅ Y) : IsOpenImmersion H.hom where base_open := (TopCat.homeoOfIso ((forget C).mapIso H)).openEmbedding -- Porting note: `inferInstance` will fail if Lean is not told that `H.hom.c` is iso c_iso _ := letI : IsIso H.hom.c := c_isIso_of_iso H.hom; inferInstance #align algebraic_geometry.PresheafedSpace.is_open_immersion.of_iso AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofIso instance (priority := 100) ofIsIso {X Y : PresheafedSpace C} (f : X ⟶ Y) [IsIso f] : IsOpenImmersion f := AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofIso (asIso f) #align algebraic_geometry.PresheafedSpace.is_open_immersion.of_is_iso AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofIsIso instance ofRestrict {X : TopCat} (Y : PresheafedSpace C) {f : X ⟶ Y.carrier} (hf : OpenEmbedding f) : IsOpenImmersion (Y.ofRestrict hf) where base_open := hf c_iso U := by dsimp have : (Opens.map f).obj (hf.isOpenMap.functor.obj U) = U := by ext1 exact Set.preimage_image_eq _ hf.inj convert_to IsIso (Y.presheaf.map (𝟙 _)) · congr · -- Porting note: was `apply Subsingleton.helim; rw [this]` -- See https://github.com/leanprover/lean4/issues/2273 congr · simp only [unop_op] congr apply Subsingleton.helim rw [this] · infer_instance #align algebraic_geometry.PresheafedSpace.is_open_immersion.of_restrict AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofRestrict @[elementwise, simp] theorem ofRestrict_invApp {C : Type*} [Category C] (X : PresheafedSpace C) {Y : TopCat} {f : Y ⟶ TopCat.of X.carrier} (h : OpenEmbedding f) (U : Opens (X.restrict h).carrier) : (PresheafedSpace.IsOpenImmersion.ofRestrict X h).invApp U = 𝟙 _ := by delta invApp rw [IsIso.comp_inv_eq, Category.id_comp] change X.presheaf.map _ = X.presheaf.map _ congr 1 #align algebraic_geometry.PresheafedSpace.is_open_immersion.of_restrict_inv_app AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.ofRestrict_invApp theorem to_iso (f : X ⟶ Y) [h : IsOpenImmersion f] [h' : Epi f.base] : IsIso f := by -- Porting note: was `apply (config := { instances := False }) ...` -- See https://github.com/leanprover/lean4/issues/2273 have : ∀ (U : (Opens Y)ᵒᵖ), IsIso (f.c.app U) := by intro U have : U = op (h.openFunctor.obj ((Opens.map f.base).obj (unop U))) := by induction U using Opposite.rec' with | h U => ?_ cases U dsimp only [Functor.op, Opens.map] congr exact (Set.image_preimage_eq _ ((TopCat.epi_iff_surjective _).mp h')).symm convert @IsOpenImmersion.c_iso _ _ _ _ _ h ((Opens.map f.base).obj (unop U)) have : IsIso f.base := by let t : X ≃ₜ Y := (Homeomorph.ofEmbedding _ h.base_open.toEmbedding).trans { toFun := Subtype.val invFun := fun x => ⟨x, by rw [Set.range_iff_surjective.mpr ((TopCat.epi_iff_surjective _).mp h')]; trivial⟩ left_inv := fun ⟨_, _⟩ => rfl right_inv := fun _ => rfl } convert (TopCat.isoOfHomeo t).isIso_hom have : IsIso f.c := by apply NatIso.isIso_of_isIso_app apply isIso_of_components #align algebraic_geometry.PresheafedSpace.is_open_immersion.to_iso AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.to_iso instance stalk_iso [HasColimits C] [H : IsOpenImmersion f] (x : X) : IsIso (stalkMap f x) := by rw [← H.isoRestrict_hom_ofRestrict] rw [PresheafedSpace.stalkMap.comp] infer_instance #align algebraic_geometry.PresheafedSpace.is_open_immersion.stalk_iso AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.stalk_iso end noncomputable section Pullback variable {X Y Z : PresheafedSpace C} (f : X ⟶ Z) [hf : IsOpenImmersion f] (g : Y ⟶ Z) def pullbackConeOfLeftFst : Y.restrict (TopCat.snd_openEmbedding_of_left_openEmbedding hf.base_open g.base) ⟶ X where base := pullback.fst c := { app := fun U => hf.invApp (unop U) ≫ g.c.app (op (hf.base_open.isOpenMap.functor.obj (unop U))) ≫ Y.presheaf.map (eqToHom (by simp only [IsOpenMap.functor, Subtype.mk_eq_mk, unop_op, op_inj_iff, Opens.map, Subtype.coe_mk, Functor.op_obj] apply LE.le.antisymm · rintro _ ⟨_, h₁, h₂⟩ use (TopCat.pullbackIsoProdSubtype _ _).inv ⟨⟨_, _⟩, h₂⟩ -- Porting note: need a slight hand holding -- used to be `simpa using h₁` before #13170 change _ ∈ _ ⁻¹' _ ∧ _ simp only [TopCat.coe_of, restrict_carrier, Set.preimage_id', Set.mem_preimage, SetLike.mem_coe] constructor · change _ ∈ U.unop at h₁ convert h₁ erw [TopCat.pullbackIsoProdSubtype_inv_fst_apply] · erw [TopCat.pullbackIsoProdSubtype_inv_snd_apply] · rintro _ ⟨x, h₁, rfl⟩ -- next line used to be -- `exact ⟨_, h₁, ConcreteCategory.congr_hom pullback.condition x⟩))` -- before #13170 refine ⟨_, h₁, ?_⟩ change (_ ≫ f.base) _ = (_ ≫ g.base) _ rw [pullback.condition])) naturality := by intro U V i induction U using Opposite.rec' induction V using Opposite.rec' simp only [Quiver.Hom.unop_op, Category.assoc, Functor.op_map] -- Note: this doesn't fire in `simp` because of reduction of the term via structure eta -- before discrimination tree key generation rw [inv_naturality_assoc] -- Porting note: the following lemmas are not picked up by `simp` -- See https://github.com/leanprover-community/mathlib4/issues/5026 erw [g.c.naturality_assoc, TopCat.Presheaf.pushforwardObj_map, ← Y.presheaf.map_comp, ← Y.presheaf.map_comp] congr 1 } #align algebraic_geometry.PresheafedSpace.is_open_immersion.pullback_cone_of_left_fst AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.pullbackConeOfLeftFst theorem pullback_cone_of_left_condition : pullbackConeOfLeftFst f g ≫ f = Y.ofRestrict _ ≫ g := by -- Porting note: `ext` did not pick up `NatTrans.ext` refine PresheafedSpace.Hom.ext _ _ ?_ <| NatTrans.ext _ _ <| funext fun U => ?_ · simpa using pullback.condition · induction U using Opposite.rec' -- Porting note: `NatTrans.comp_app` is not picked up by `dsimp` -- Perhaps see : https://github.com/leanprover-community/mathlib4/issues/5026 rw [NatTrans.comp_app] dsimp only [comp_c_app, unop_op, whiskerRight_app, pullbackConeOfLeftFst] -- simp only [ofRestrict_c_app, NatTrans.comp_app] simp only [Quiver.Hom.unop_op, TopCat.Presheaf.pushforwardObj_map, app_invApp_assoc, eqToHom_app, eqToHom_unop, Category.assoc, NatTrans.naturality_assoc, Functor.op_map] erw [← Y.presheaf.map_comp, ← Y.presheaf.map_comp] congr 1 #align algebraic_geometry.PresheafedSpace.is_open_immersion.pullback_cone_of_left_condition AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.pullback_cone_of_left_condition def pullbackConeOfLeft : PullbackCone f g := PullbackCone.mk (pullbackConeOfLeftFst f g) (Y.ofRestrict _) (pullback_cone_of_left_condition f g) #align algebraic_geometry.PresheafedSpace.is_open_immersion.pullback_cone_of_left AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.pullbackConeOfLeft variable (s : PullbackCone f g) def pullbackConeOfLeftLift : s.pt ⟶ (pullbackConeOfLeft f g).pt where base := pullback.lift s.fst.base s.snd.base (congr_arg (fun x => PresheafedSpace.Hom.base x) s.condition) c := { app := fun U => s.snd.c.app _ ≫ s.pt.presheaf.map (eqToHom (by dsimp only [Opens.map, IsOpenMap.functor, Functor.op] congr 2 let s' : PullbackCone f.base g.base := PullbackCone.mk s.fst.base s.snd.base -- Porting note: in mathlib3, this is just an underscore (congr_arg Hom.base s.condition) have : _ = s.snd.base := limit.lift_π s' WalkingCospan.right conv_lhs => erw [← this] dsimp [s'] -- Porting note: need a bit more hand holding here about function composition rw [show ∀ f g, f ∘ g = fun x => f (g x) from fun _ _ => rfl] erw [← Set.preimage_preimage] erw [Set.preimage_image_eq _ (TopCat.snd_openEmbedding_of_left_openEmbedding hf.base_open g.base).inj] rfl)) naturality := fun U V i => by erw [s.snd.c.naturality_assoc] rw [Category.assoc] erw [← s.pt.presheaf.map_comp, ← s.pt.presheaf.map_comp] congr 1 } #align algebraic_geometry.PresheafedSpace.is_open_immersion.pullback_cone_of_left_lift AlgebraicGeometry.PresheafedSpace.IsOpenImmersion.pullbackConeOfLeftLift -- this lemma is not a `simp` lemma, because it is an implementation detail
Mathlib/Geometry/RingedSpace/OpenImmersion.lean
461
477
theorem pullbackConeOfLeftLift_fst : pullbackConeOfLeftLift f g s ≫ (pullbackConeOfLeft f g).fst = s.fst := by
-- Porting note: `ext` did not pick up `NatTrans.ext` refine PresheafedSpace.Hom.ext _ _ ?_ <| NatTrans.ext _ _ <| funext fun x => ?_ · change pullback.lift _ _ _ ≫ pullback.fst = _ simp · induction x using Opposite.rec' with | h x => ?_ change ((_ ≫ _) ≫ _ ≫ _) ≫ _ = _ simp_rw [Category.assoc] erw [← s.pt.presheaf.map_comp] erw [s.snd.c.naturality_assoc] have := congr_app s.condition (op (hf.openFunctor.obj x)) dsimp only [comp_c_app, unop_op] at this rw [← IsIso.comp_inv_eq] at this replace this := reassoc_of% this erw [← this, hf.invApp_app_assoc, s.fst.c.naturality_assoc] simp [eqToHom_map]
import Mathlib.Analysis.SpecialFunctions.Complex.Circle import Mathlib.Geometry.Euclidean.Angle.Oriented.Basic #align_import geometry.euclidean.angle.oriented.rotation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9" noncomputable section open FiniteDimensional Complex open scoped Real RealInnerProductSpace ComplexConjugate namespace Orientation attribute [local instance] Complex.finrank_real_complex_fact variable {V V' : Type*} variable [NormedAddCommGroup V] [NormedAddCommGroup V'] variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V'] variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2)) local notation "J" => o.rightAngleRotation def rotationAux (θ : Real.Angle) : V →ₗᵢ[ℝ] V := LinearMap.isometryOfInner (Real.Angle.cos θ • LinearMap.id + Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by intro x y simp only [RCLike.conj_to_real, id, LinearMap.smul_apply, LinearMap.add_apply, LinearMap.id_coe, LinearEquiv.coe_coe, LinearIsometryEquiv.coe_toLinearEquiv, Orientation.areaForm_rightAngleRotation_left, Orientation.inner_rightAngleRotation_left, Orientation.inner_rightAngleRotation_right, inner_add_left, inner_smul_left, inner_add_right, inner_smul_right] linear_combination inner (𝕜 := ℝ) x y * θ.cos_sq_add_sin_sq) #align orientation.rotation_aux Orientation.rotationAux @[simp] theorem rotationAux_apply (θ : Real.Angle) (x : V) : o.rotationAux θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_aux_apply Orientation.rotationAux_apply def rotation (θ : Real.Angle) : V ≃ₗᵢ[ℝ] V := LinearIsometryEquiv.ofLinearIsometry (o.rotationAux θ) (Real.Angle.cos θ • LinearMap.id - Real.Angle.sin θ • (LinearIsometryEquiv.toLinearEquiv J).toLinearMap) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_smul, map_sub, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, ← mul_smul, add_smul, smul_add, smul_neg, smul_sub, mul_comm, sq] abel · simp) (by ext x convert congr_arg (fun t : ℝ => t • x) θ.cos_sq_add_sin_sq using 1 · simp only [o.rightAngleRotation_rightAngleRotation, o.rotationAux_apply, Function.comp_apply, id, LinearEquiv.coe_coe, LinearIsometry.coe_toLinearMap, LinearIsometryEquiv.coe_toLinearEquiv, map_add, map_smul, LinearMap.coe_comp, LinearMap.id_coe, LinearMap.smul_apply, LinearMap.sub_apply, add_smul, smul_neg, smul_sub, smul_smul] ring_nf abel · simp) #align orientation.rotation Orientation.rotation theorem rotation_apply (θ : Real.Angle) (x : V) : o.rotation θ x = Real.Angle.cos θ • x + Real.Angle.sin θ • J x := rfl #align orientation.rotation_apply Orientation.rotation_apply theorem rotation_symm_apply (θ : Real.Angle) (x : V) : (o.rotation θ).symm x = Real.Angle.cos θ • x - Real.Angle.sin θ • J x := rfl #align orientation.rotation_symm_apply Orientation.rotation_symm_apply theorem rotation_eq_matrix_toLin (θ : Real.Angle) {x : V} (hx : x ≠ 0) : (o.rotation θ).toLinearMap = Matrix.toLin (o.basisRightAngleRotation x hx) (o.basisRightAngleRotation x hx) !![θ.cos, -θ.sin; θ.sin, θ.cos] := by apply (o.basisRightAngleRotation x hx).ext intro i fin_cases i · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ] · rw [Matrix.toLin_self] simp [rotation_apply, Fin.sum_univ_succ, add_comm] #align orientation.rotation_eq_matrix_to_lin Orientation.rotation_eq_matrix_toLin @[simp] theorem det_rotation (θ : Real.Angle) : LinearMap.det (o.rotation θ).toLinearMap = 1 := by haveI : Nontrivial V := FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _) obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V) rw [o.rotation_eq_matrix_toLin θ hx] simpa [sq] using θ.cos_sq_add_sin_sq #align orientation.det_rotation Orientation.det_rotation @[simp] theorem linearEquiv_det_rotation (θ : Real.Angle) : LinearEquiv.det (o.rotation θ).toLinearEquiv = 1 := Units.ext <| by -- Porting note: Lean can't see through `LinearEquiv.coe_det` and needed the rewrite -- in mathlib3 this was just `units.ext <| o.det_rotation θ` simpa only [LinearEquiv.coe_det, Units.val_one] using o.det_rotation θ #align orientation.linear_equiv_det_rotation Orientation.linearEquiv_det_rotation @[simp] theorem rotation_symm (θ : Real.Angle) : (o.rotation θ).symm = o.rotation (-θ) := by ext; simp [o.rotation_apply, o.rotation_symm_apply, sub_eq_add_neg] #align orientation.rotation_symm Orientation.rotation_symm @[simp] theorem rotation_zero : o.rotation 0 = LinearIsometryEquiv.refl ℝ V := by ext; simp [rotation] #align orientation.rotation_zero Orientation.rotation_zero @[simp] theorem rotation_pi : o.rotation π = LinearIsometryEquiv.neg ℝ := by ext x simp [rotation] #align orientation.rotation_pi Orientation.rotation_pi theorem rotation_pi_apply (x : V) : o.rotation π x = -x := by simp #align orientation.rotation_pi_apply Orientation.rotation_pi_apply theorem rotation_pi_div_two : o.rotation (π / 2 : ℝ) = J := by ext x simp [rotation] #align orientation.rotation_pi_div_two Orientation.rotation_pi_div_two @[simp] theorem rotation_rotation (θ₁ θ₂ : Real.Angle) (x : V) : o.rotation θ₁ (o.rotation θ₂ x) = o.rotation (θ₁ + θ₂) x := by simp only [o.rotation_apply, ← mul_smul, Real.Angle.cos_add, Real.Angle.sin_add, add_smul, sub_smul, LinearIsometryEquiv.trans_apply, smul_add, LinearIsometryEquiv.map_add, LinearIsometryEquiv.map_smul, rightAngleRotation_rightAngleRotation, smul_neg] ring_nf abel #align orientation.rotation_rotation Orientation.rotation_rotation @[simp] theorem rotation_trans (θ₁ θ₂ : Real.Angle) : (o.rotation θ₁).trans (o.rotation θ₂) = o.rotation (θ₂ + θ₁) := LinearIsometryEquiv.ext fun _ => by rw [← rotation_rotation, LinearIsometryEquiv.trans_apply] #align orientation.rotation_trans Orientation.rotation_trans @[simp] theorem kahler_rotation_left (x y : V) (θ : Real.Angle) : o.kahler (o.rotation θ x) y = conj (θ.expMapCircle : ℂ) * o.kahler x y := by -- Porting note: this needed the `Complex.conj_ofReal` instead of `RCLike.conj_ofReal`; -- I believe this is because the respective coercions are no longer defeq, and -- `Real.Angle.coe_expMapCircle` uses the `Complex` version. simp only [o.rotation_apply, map_add, map_mul, LinearMap.map_smulₛₗ, RingHom.id_apply, LinearMap.add_apply, LinearMap.smul_apply, real_smul, kahler_rightAngleRotation_left, Real.Angle.coe_expMapCircle, Complex.conj_ofReal, conj_I] ring #align orientation.kahler_rotation_left Orientation.kahler_rotation_left theorem neg_rotation (θ : Real.Angle) (x : V) : -o.rotation θ x = o.rotation (π + θ) x := by rw [← o.rotation_pi_apply, rotation_rotation] #align orientation.neg_rotation Orientation.neg_rotation @[simp] theorem neg_rotation_neg_pi_div_two (x : V) : -o.rotation (-π / 2 : ℝ) x = o.rotation (π / 2 : ℝ) x := by rw [neg_rotation, ← Real.Angle.coe_add, neg_div, ← sub_eq_add_neg, sub_half] #align orientation.neg_rotation_neg_pi_div_two Orientation.neg_rotation_neg_pi_div_two theorem neg_rotation_pi_div_two (x : V) : -o.rotation (π / 2 : ℝ) x = o.rotation (-π / 2 : ℝ) x := (neg_eq_iff_eq_neg.mp <| o.neg_rotation_neg_pi_div_two _).symm #align orientation.neg_rotation_pi_div_two Orientation.neg_rotation_pi_div_two theorem kahler_rotation_left' (x y : V) (θ : Real.Angle) : o.kahler (o.rotation θ x) y = (-θ).expMapCircle * o.kahler x y := by simp only [Real.Angle.expMapCircle_neg, coe_inv_circle_eq_conj, kahler_rotation_left] #align orientation.kahler_rotation_left' Orientation.kahler_rotation_left' @[simp] theorem kahler_rotation_right (x y : V) (θ : Real.Angle) : o.kahler x (o.rotation θ y) = θ.expMapCircle * o.kahler x y := by simp only [o.rotation_apply, map_add, LinearMap.map_smulₛₗ, RingHom.id_apply, real_smul, kahler_rightAngleRotation_right, Real.Angle.coe_expMapCircle] ring #align orientation.kahler_rotation_right Orientation.kahler_rotation_right @[simp] theorem oangle_rotation_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) : o.oangle (o.rotation θ x) y = o.oangle x y - θ := by simp only [oangle, o.kahler_rotation_left'] rw [Complex.arg_mul_coe_angle, Real.Angle.arg_expMapCircle] · abel · exact ne_zero_of_mem_circle _ · exact o.kahler_ne_zero hx hy #align orientation.oangle_rotation_left Orientation.oangle_rotation_left @[simp] theorem oangle_rotation_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) : o.oangle x (o.rotation θ y) = o.oangle x y + θ := by simp only [oangle, o.kahler_rotation_right] rw [Complex.arg_mul_coe_angle, Real.Angle.arg_expMapCircle] · abel · exact ne_zero_of_mem_circle _ · exact o.kahler_ne_zero hx hy #align orientation.oangle_rotation_right Orientation.oangle_rotation_right @[simp] theorem oangle_rotation_self_left {x : V} (hx : x ≠ 0) (θ : Real.Angle) : o.oangle (o.rotation θ x) x = -θ := by simp [hx] #align orientation.oangle_rotation_self_left Orientation.oangle_rotation_self_left @[simp] theorem oangle_rotation_self_right {x : V} (hx : x ≠ 0) (θ : Real.Angle) : o.oangle x (o.rotation θ x) = θ := by simp [hx] #align orientation.oangle_rotation_self_right Orientation.oangle_rotation_self_right @[simp] theorem oangle_rotation_oangle_left (x y : V) : o.oangle (o.rotation (o.oangle x y) x) y = 0 := by by_cases hx : x = 0 · simp [hx] · by_cases hy : y = 0 · simp [hy] · simp [hx, hy] #align orientation.oangle_rotation_oangle_left Orientation.oangle_rotation_oangle_left @[simp] theorem oangle_rotation_oangle_right (x y : V) : o.oangle y (o.rotation (o.oangle x y) x) = 0 := by rw [oangle_rev] simp #align orientation.oangle_rotation_oangle_right Orientation.oangle_rotation_oangle_right @[simp] theorem oangle_rotation (x y : V) (θ : Real.Angle) : o.oangle (o.rotation θ x) (o.rotation θ y) = o.oangle x y := by by_cases hx : x = 0 <;> by_cases hy : y = 0 <;> simp [hx, hy] #align orientation.oangle_rotation Orientation.oangle_rotation @[simp] theorem rotation_eq_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) : o.rotation θ x = x ↔ θ = 0 := by constructor · intro h rw [eq_comm] simpa [hx, h] using o.oangle_rotation_right hx hx θ · intro h simp [h] #align orientation.rotation_eq_self_iff_angle_eq_zero Orientation.rotation_eq_self_iff_angle_eq_zero @[simp] theorem eq_rotation_self_iff_angle_eq_zero {x : V} (hx : x ≠ 0) (θ : Real.Angle) : x = o.rotation θ x ↔ θ = 0 := by rw [← o.rotation_eq_self_iff_angle_eq_zero hx, eq_comm] #align orientation.eq_rotation_self_iff_angle_eq_zero Orientation.eq_rotation_self_iff_angle_eq_zero theorem rotation_eq_self_iff (x : V) (θ : Real.Angle) : o.rotation θ x = x ↔ x = 0 ∨ θ = 0 := by by_cases h : x = 0 <;> simp [h] #align orientation.rotation_eq_self_iff Orientation.rotation_eq_self_iff theorem eq_rotation_self_iff (x : V) (θ : Real.Angle) : x = o.rotation θ x ↔ x = 0 ∨ θ = 0 := by rw [← rotation_eq_self_iff, eq_comm] #align orientation.eq_rotation_self_iff Orientation.eq_rotation_self_iff @[simp] theorem rotation_oangle_eq_iff_norm_eq (x y : V) : o.rotation (o.oangle x y) x = y ↔ ‖x‖ = ‖y‖ := by constructor · intro h rw [← h, LinearIsometryEquiv.norm_map] · intro h rw [o.eq_iff_oangle_eq_zero_of_norm_eq] <;> simp [h] #align orientation.rotation_oangle_eq_iff_norm_eq Orientation.rotation_oangle_eq_iff_norm_eq theorem oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) : o.oangle x y = θ ↔ y = (‖y‖ / ‖x‖) • o.rotation θ x := by have hp := div_pos (norm_pos_iff.2 hy) (norm_pos_iff.2 hx) constructor · rintro rfl rw [← LinearIsometryEquiv.map_smul, ← o.oangle_smul_left_of_pos x y hp, eq_comm, rotation_oangle_eq_iff_norm_eq, norm_smul, Real.norm_of_nonneg hp.le, div_mul_cancel₀ _ (norm_ne_zero_iff.2 hx)] · intro hye rw [hye, o.oangle_smul_right_of_pos _ _ hp, o.oangle_rotation_self_right hx] #align orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero Orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero theorem oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) (θ : Real.Angle) : o.oangle x y = θ ↔ ∃ r : ℝ, 0 < r ∧ y = r • o.rotation θ x := by constructor · intro h rw [o.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero hx hy] at h exact ⟨‖y‖ / ‖x‖, div_pos (norm_pos_iff.2 hy) (norm_pos_iff.2 hx), h⟩ · rintro ⟨r, hr, rfl⟩ rw [o.oangle_smul_right_of_pos _ _ hr, o.oangle_rotation_self_right hx] #align orientation.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero Orientation.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero theorem oangle_eq_iff_eq_norm_div_norm_smul_rotation_or_eq_zero {x y : V} (θ : Real.Angle) : o.oangle x y = θ ↔ x ≠ 0 ∧ y ≠ 0 ∧ y = (‖y‖ / ‖x‖) • o.rotation θ x ∨ θ = 0 ∧ (x = 0 ∨ y = 0) := by by_cases hx : x = 0 · simp [hx, eq_comm] · by_cases hy : y = 0 · simp [hy, eq_comm] · rw [o.oangle_eq_iff_eq_norm_div_norm_smul_rotation_of_ne_zero hx hy] simp [hx, hy] #align orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_or_eq_zero Orientation.oangle_eq_iff_eq_norm_div_norm_smul_rotation_or_eq_zero theorem oangle_eq_iff_eq_pos_smul_rotation_or_eq_zero {x y : V} (θ : Real.Angle) : o.oangle x y = θ ↔ (x ≠ 0 ∧ y ≠ 0 ∧ ∃ r : ℝ, 0 < r ∧ y = r • o.rotation θ x) ∨ θ = 0 ∧ (x = 0 ∨ y = 0) := by by_cases hx : x = 0 · simp [hx, eq_comm] · by_cases hy : y = 0 · simp [hy, eq_comm] · rw [o.oangle_eq_iff_eq_pos_smul_rotation_of_ne_zero hx hy] simp [hx, hy] #align orientation.oangle_eq_iff_eq_pos_smul_rotation_or_eq_zero Orientation.oangle_eq_iff_eq_pos_smul_rotation_or_eq_zero theorem exists_linearIsometryEquiv_eq_of_det_pos {f : V ≃ₗᵢ[ℝ] V} (hd : 0 < LinearMap.det (f.toLinearEquiv : V →ₗ[ℝ] V)) : ∃ θ : Real.Angle, f = o.rotation θ := by haveI : Nontrivial V := FiniteDimensional.nontrivial_of_finrank_eq_succ (@Fact.out (finrank ℝ V = 2) _) obtain ⟨x, hx⟩ : ∃ x, x ≠ (0 : V) := exists_ne (0 : V) use o.oangle x (f x) apply LinearIsometryEquiv.toLinearEquiv_injective apply LinearEquiv.toLinearMap_injective apply (o.basisRightAngleRotation x hx).ext intro i symm fin_cases i · simp have : o.oangle (J x) (f (J x)) = o.oangle x (f x) := by simp only [oangle, o.linearIsometryEquiv_comp_rightAngleRotation f hd, o.kahler_comp_rightAngleRotation] simp [← this] #align orientation.exists_linear_isometry_equiv_eq_of_det_pos Orientation.exists_linearIsometryEquiv_eq_of_det_pos theorem rotation_map (θ : Real.Angle) (f : V ≃ₗᵢ[ℝ] V') (x : V') : (Orientation.map (Fin 2) f.toLinearEquiv o).rotation θ x = f (o.rotation θ (f.symm x)) := by simp [rotation_apply, o.rightAngleRotation_map] #align orientation.rotation_map Orientation.rotation_map @[simp] protected theorem _root_.Complex.rotation (θ : Real.Angle) (z : ℂ) : Complex.orientation.rotation θ z = θ.expMapCircle * z := by simp only [rotation_apply, Complex.rightAngleRotation, Real.Angle.coe_expMapCircle, real_smul] ring #align complex.rotation Complex.rotation theorem rotation_map_complex (θ : Real.Angle) (f : V ≃ₗᵢ[ℝ] ℂ) (hf : Orientation.map (Fin 2) f.toLinearEquiv o = Complex.orientation) (x : V) : f (o.rotation θ x) = θ.expMapCircle * f x := by rw [← Complex.rotation, ← hf, o.rotation_map, LinearIsometryEquiv.symm_apply_apply] #align orientation.rotation_map_complex Orientation.rotation_map_complex theorem rotation_neg_orientation_eq_neg (θ : Real.Angle) : (-o).rotation θ = o.rotation (-θ) := LinearIsometryEquiv.ext <| by simp [rotation_apply] #align orientation.rotation_neg_orientation_eq_neg Orientation.rotation_neg_orientation_eq_neg @[simp] theorem inner_rotation_pi_div_two_left (x : V) : ⟪o.rotation (π / 2 : ℝ) x, x⟫ = 0 := by rw [rotation_pi_div_two, inner_rightAngleRotation_self] #align orientation.inner_rotation_pi_div_two_left Orientation.inner_rotation_pi_div_two_left @[simp] theorem inner_rotation_pi_div_two_right (x : V) : ⟪x, o.rotation (π / 2 : ℝ) x⟫ = 0 := by rw [real_inner_comm, inner_rotation_pi_div_two_left] #align orientation.inner_rotation_pi_div_two_right Orientation.inner_rotation_pi_div_two_right @[simp] theorem inner_smul_rotation_pi_div_two_left (x : V) (r : ℝ) : ⟪r • o.rotation (π / 2 : ℝ) x, x⟫ = 0 := by rw [inner_smul_left, inner_rotation_pi_div_two_left, mul_zero] #align orientation.inner_smul_rotation_pi_div_two_left Orientation.inner_smul_rotation_pi_div_two_left @[simp]
Mathlib/Geometry/Euclidean/Angle/Oriented/Rotation.lean
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theorem inner_smul_rotation_pi_div_two_right (x : V) (r : ℝ) : ⟪x, r • o.rotation (π / 2 : ℝ) x⟫ = 0 := by
rw [real_inner_comm, inner_smul_rotation_pi_div_two_left]
import Mathlib.Logic.Relation import Mathlib.Data.List.Forall2 import Mathlib.Data.List.Lex import Mathlib.Data.List.Infix #align_import data.list.chain from "leanprover-community/mathlib"@"dd71334db81d0bd444af1ee339a29298bef40734" -- Make sure we haven't imported `Data.Nat.Order.Basic` assert_not_exists OrderedSub universe u v open Nat namespace List variable {α : Type u} {β : Type v} {R r : α → α → Prop} {l l₁ l₂ : List α} {a b : α} mk_iff_of_inductive_prop List.Chain List.chain_iff #align list.chain_iff List.chain_iff #align list.chain.nil List.Chain.nil #align list.chain.cons List.Chain.cons #align list.rel_of_chain_cons List.rel_of_chain_cons #align list.chain_of_chain_cons List.chain_of_chain_cons #align list.chain.imp' List.Chain.imp' #align list.chain.imp List.Chain.imp theorem Chain.iff {S : α → α → Prop} (H : ∀ a b, R a b ↔ S a b) {a : α} {l : List α} : Chain R a l ↔ Chain S a l := ⟨Chain.imp fun a b => (H a b).1, Chain.imp fun a b => (H a b).2⟩ #align list.chain.iff List.Chain.iff theorem Chain.iff_mem {a : α} {l : List α} : Chain R a l ↔ Chain (fun x y => x ∈ a :: l ∧ y ∈ l ∧ R x y) a l := ⟨fun p => by induction' p with _ a b l r _ IH <;> constructor <;> [exact ⟨mem_cons_self _ _, mem_cons_self _ _, r⟩; exact IH.imp fun a b ⟨am, bm, h⟩ => ⟨mem_cons_of_mem _ am, mem_cons_of_mem _ bm, h⟩], Chain.imp fun a b h => h.2.2⟩ #align list.chain.iff_mem List.Chain.iff_mem theorem chain_singleton {a b : α} : Chain R a [b] ↔ R a b := by simp only [chain_cons, Chain.nil, and_true_iff] #align list.chain_singleton List.chain_singleton theorem chain_split {a b : α} {l₁ l₂ : List α} : Chain R a (l₁ ++ b :: l₂) ↔ Chain R a (l₁ ++ [b]) ∧ Chain R b l₂ := by induction' l₁ with x l₁ IH generalizing a <;> simp only [*, nil_append, cons_append, Chain.nil, chain_cons, and_true_iff, and_assoc] #align list.chain_split List.chain_split @[simp] theorem chain_append_cons_cons {a b c : α} {l₁ l₂ : List α} : Chain R a (l₁ ++ b :: c :: l₂) ↔ Chain R a (l₁ ++ [b]) ∧ R b c ∧ Chain R c l₂ := by rw [chain_split, chain_cons] #align list.chain_append_cons_cons List.chain_append_cons_cons theorem chain_iff_forall₂ : ∀ {a : α} {l : List α}, Chain R a l ↔ l = [] ∨ Forall₂ R (a :: dropLast l) l | a, [] => by simp | a, b :: l => by by_cases h : l = [] <;> simp [@chain_iff_forall₂ b l, dropLast, *] #align list.chain_iff_forall₂ List.chain_iff_forall₂ theorem chain_append_singleton_iff_forall₂ : Chain R a (l ++ [b]) ↔ Forall₂ R (a :: l) (l ++ [b]) := by simp [chain_iff_forall₂] #align list.chain_append_singleton_iff_forall₂ List.chain_append_singleton_iff_forall₂ theorem chain_map (f : β → α) {b : β} {l : List β} : Chain R (f b) (map f l) ↔ Chain (fun a b : β => R (f a) (f b)) b l := by induction l generalizing b <;> simp only [map, Chain.nil, chain_cons, *] #align list.chain_map List.chain_map theorem chain_of_chain_map {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, S (f a) (f b) → R a b) {a : α} {l : List α} (p : Chain S (f a) (map f l)) : Chain R a l := ((chain_map f).1 p).imp H #align list.chain_of_chain_map List.chain_of_chain_map theorem chain_map_of_chain {S : β → β → Prop} (f : α → β) (H : ∀ a b : α, R a b → S (f a) (f b)) {a : α} {l : List α} (p : Chain R a l) : Chain S (f a) (map f l) := (chain_map f).2 <| p.imp H #align list.chain_map_of_chain List.chain_map_of_chain theorem chain_pmap_of_chain {S : β → β → Prop} {p : α → Prop} {f : ∀ a, p a → β} (H : ∀ a b ha hb, R a b → S (f a ha) (f b hb)) {a : α} {l : List α} (hl₁ : Chain R a l) (ha : p a) (hl₂ : ∀ a ∈ l, p a) : Chain S (f a ha) (List.pmap f l hl₂) := by induction' l with lh lt l_ih generalizing a · simp · simp [H _ _ _ _ (rel_of_chain_cons hl₁), l_ih (chain_of_chain_cons hl₁)] #align list.chain_pmap_of_chain List.chain_pmap_of_chain theorem chain_of_chain_pmap {S : β → β → Prop} {p : α → Prop} (f : ∀ a, p a → β) {l : List α} (hl₁ : ∀ a ∈ l, p a) {a : α} (ha : p a) (hl₂ : Chain S (f a ha) (List.pmap f l hl₁)) (H : ∀ a b ha hb, S (f a ha) (f b hb) → R a b) : Chain R a l := by induction' l with lh lt l_ih generalizing a · simp · simp [H _ _ _ _ (rel_of_chain_cons hl₂), l_ih _ _ (chain_of_chain_cons hl₂)] #align list.chain_of_chain_pmap List.chain_of_chain_pmap #align list.pairwise.chain List.Pairwise.chain protected theorem Chain.pairwise [IsTrans α R] : ∀ {a : α} {l : List α}, Chain R a l → Pairwise R (a :: l) | a, [], Chain.nil => pairwise_singleton _ _ | a, _, @Chain.cons _ _ _ b l h hb => hb.pairwise.cons (by simp only [mem_cons, forall_eq_or_imp, h, true_and_iff] exact fun c hc => _root_.trans h (rel_of_pairwise_cons hb.pairwise hc)) #align list.chain.pairwise List.Chain.pairwise theorem chain_iff_pairwise [IsTrans α R] {a : α} {l : List α} : Chain R a l ↔ Pairwise R (a :: l) := ⟨Chain.pairwise, Pairwise.chain⟩ #align list.chain_iff_pairwise List.chain_iff_pairwise protected theorem Chain.sublist [IsTrans α R] (hl : l₂.Chain R a) (h : l₁ <+ l₂) : l₁.Chain R a := by rw [chain_iff_pairwise] at hl ⊢ exact hl.sublist (h.cons_cons a) #align list.chain.sublist List.Chain.sublist protected theorem Chain.rel [IsTrans α R] (hl : l.Chain R a) (hb : b ∈ l) : R a b := by rw [chain_iff_pairwise] at hl exact rel_of_pairwise_cons hl hb #align list.chain.rel List.Chain.rel theorem chain_iff_get {R} : ∀ {a : α} {l : List α}, Chain R a l ↔ (∀ h : 0 < length l, R a (get l ⟨0, h⟩)) ∧ ∀ (i : ℕ) (h : i < l.length - 1), R (get l ⟨i, by omega⟩) (get l ⟨i+1, by omega⟩) | a, [] => iff_of_true (by simp) ⟨fun h => by simp at h, fun _ h => by simp at h⟩ | a, b :: t => by rw [chain_cons, @chain_iff_get _ _ t] constructor · rintro ⟨R, ⟨h0, h⟩⟩ constructor · intro _ exact R intro i w cases' i with i · apply h0 · exact h i (by simp only [length_cons] at w; omega) rintro ⟨h0, h⟩; constructor · apply h0 simp constructor · apply h 0 intro i w exact h (i+1) (by simp only [length_cons]; omega) set_option linter.deprecated false in @[deprecated chain_iff_get (since := "2023-01-10")]
Mathlib/Data/List/Chain.lean
170
174
theorem chain_iff_nthLe {R} {a : α} {l : List α} : Chain R a l ↔ (∀ h : 0 < length l, R a (nthLe l 0 h)) ∧ ∀ (i) (h : i < length l - 1), R (nthLe l i (by omega)) (nthLe l (i + 1) (by omega)) := by
rw [chain_iff_get]; simp [nthLe]
import Mathlib.Algebra.Polynomial.Splits #align_import algebra.cubic_discriminant from "leanprover-community/mathlib"@"930133160e24036d5242039fe4972407cd4f1222" noncomputable section @[ext] structure Cubic (R : Type*) where (a b c d : R) #align cubic Cubic namespace Cubic open Cubic Polynomial open Polynomial variable {R S F K : Type*} instance [Inhabited R] : Inhabited (Cubic R) := ⟨⟨default, default, default, default⟩⟩ instance [Zero R] : Zero (Cubic R) := ⟨⟨0, 0, 0, 0⟩⟩ section Basic variable {P Q : Cubic R} {a b c d a' b' c' d' : R} [Semiring R] def toPoly (P : Cubic R) : R[X] := C P.a * X ^ 3 + C P.b * X ^ 2 + C P.c * X + C P.d #align cubic.to_poly Cubic.toPoly theorem C_mul_prod_X_sub_C_eq [CommRing S] {w x y z : S} : C w * (X - C x) * (X - C y) * (X - C z) = toPoly ⟨w, w * -(x + y + z), w * (x * y + x * z + y * z), w * -(x * y * z)⟩ := by simp only [toPoly, C_neg, C_add, C_mul] ring1 set_option linter.uppercaseLean3 false in #align cubic.C_mul_prod_X_sub_C_eq Cubic.C_mul_prod_X_sub_C_eq theorem prod_X_sub_C_eq [CommRing S] {x y z : S} : (X - C x) * (X - C y) * (X - C z) = toPoly ⟨1, -(x + y + z), x * y + x * z + y * z, -(x * y * z)⟩ := by rw [← one_mul <| X - C x, ← C_1, C_mul_prod_X_sub_C_eq, one_mul, one_mul, one_mul] set_option linter.uppercaseLean3 false in #align cubic.prod_X_sub_C_eq Cubic.prod_X_sub_C_eq section Coeff private theorem coeffs : (∀ n > 3, P.toPoly.coeff n = 0) ∧ P.toPoly.coeff 3 = P.a ∧ P.toPoly.coeff 2 = P.b ∧ P.toPoly.coeff 1 = P.c ∧ P.toPoly.coeff 0 = P.d := by simp only [toPoly, coeff_add, coeff_C, coeff_C_mul_X, coeff_C_mul_X_pow] set_option tactic.skipAssignedInstances false in norm_num intro n hn repeat' rw [if_neg] any_goals linarith only [hn] repeat' rw [zero_add] @[simp] theorem coeff_eq_zero {n : ℕ} (hn : 3 < n) : P.toPoly.coeff n = 0 := coeffs.1 n hn #align cubic.coeff_eq_zero Cubic.coeff_eq_zero @[simp] theorem coeff_eq_a : P.toPoly.coeff 3 = P.a := coeffs.2.1 #align cubic.coeff_eq_a Cubic.coeff_eq_a @[simp] theorem coeff_eq_b : P.toPoly.coeff 2 = P.b := coeffs.2.2.1 #align cubic.coeff_eq_b Cubic.coeff_eq_b @[simp] theorem coeff_eq_c : P.toPoly.coeff 1 = P.c := coeffs.2.2.2.1 #align cubic.coeff_eq_c Cubic.coeff_eq_c @[simp] theorem coeff_eq_d : P.toPoly.coeff 0 = P.d := coeffs.2.2.2.2 #align cubic.coeff_eq_d Cubic.coeff_eq_d theorem a_of_eq (h : P.toPoly = Q.toPoly) : P.a = Q.a := by rw [← coeff_eq_a, h, coeff_eq_a] #align cubic.a_of_eq Cubic.a_of_eq theorem b_of_eq (h : P.toPoly = Q.toPoly) : P.b = Q.b := by rw [← coeff_eq_b, h, coeff_eq_b] #align cubic.b_of_eq Cubic.b_of_eq theorem c_of_eq (h : P.toPoly = Q.toPoly) : P.c = Q.c := by rw [← coeff_eq_c, h, coeff_eq_c] #align cubic.c_of_eq Cubic.c_of_eq theorem d_of_eq (h : P.toPoly = Q.toPoly) : P.d = Q.d := by rw [← coeff_eq_d, h, coeff_eq_d] #align cubic.d_of_eq Cubic.d_of_eq theorem toPoly_injective (P Q : Cubic R) : P.toPoly = Q.toPoly ↔ P = Q := ⟨fun h ↦ Cubic.ext P Q (a_of_eq h) (b_of_eq h) (c_of_eq h) (d_of_eq h), congr_arg toPoly⟩ #align cubic.to_poly_injective Cubic.toPoly_injective theorem of_a_eq_zero (ha : P.a = 0) : P.toPoly = C P.b * X ^ 2 + C P.c * X + C P.d := by rw [toPoly, ha, C_0, zero_mul, zero_add] #align cubic.of_a_eq_zero Cubic.of_a_eq_zero theorem of_a_eq_zero' : toPoly ⟨0, b, c, d⟩ = C b * X ^ 2 + C c * X + C d := of_a_eq_zero rfl #align cubic.of_a_eq_zero' Cubic.of_a_eq_zero' theorem of_b_eq_zero (ha : P.a = 0) (hb : P.b = 0) : P.toPoly = C P.c * X + C P.d := by rw [of_a_eq_zero ha, hb, C_0, zero_mul, zero_add] #align cubic.of_b_eq_zero Cubic.of_b_eq_zero theorem of_b_eq_zero' : toPoly ⟨0, 0, c, d⟩ = C c * X + C d := of_b_eq_zero rfl rfl #align cubic.of_b_eq_zero' Cubic.of_b_eq_zero'
Mathlib/Algebra/CubicDiscriminant.lean
153
154
theorem of_c_eq_zero (ha : P.a = 0) (hb : P.b = 0) (hc : P.c = 0) : P.toPoly = C P.d := by
rw [of_b_eq_zero ha hb, hc, C_0, zero_mul, zero_add]
import Mathlib.Tactic.CategoryTheory.Elementwise import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer import Mathlib.CategoryTheory.Limits.Constructions.EpiMono import Mathlib.CategoryTheory.Limits.Preserves.Limits import Mathlib.CategoryTheory.Limits.Shapes.Types #align_import category_theory.glue_data from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7" noncomputable section open CategoryTheory.Limits namespace CategoryTheory universe v u₁ u₂ variable (C : Type u₁) [Category.{v} C] {C' : Type u₂} [Category.{v} C'] -- Porting note(#5171): linter not ported yet -- @[nolint has_nonempty_instance] structure GlueData where J : Type v U : J → C V : J × J → C f : ∀ i j, V (i, j) ⟶ U i f_mono : ∀ i j, Mono (f i j) := by infer_instance f_hasPullback : ∀ i j k, HasPullback (f i j) (f i k) := by infer_instance f_id : ∀ i, IsIso (f i i) := by infer_instance t : ∀ i j, V (i, j) ⟶ V (j, i) t_id : ∀ i, t i i = 𝟙 _ t' : ∀ i j k, pullback (f i j) (f i k) ⟶ pullback (f j k) (f j i) t_fac : ∀ i j k, t' i j k ≫ pullback.snd = pullback.fst ≫ t i j cocycle : ∀ i j k, t' i j k ≫ t' j k i ≫ t' k i j = 𝟙 _ #align category_theory.glue_data CategoryTheory.GlueData attribute [simp] GlueData.t_id attribute [instance] GlueData.f_id GlueData.f_mono GlueData.f_hasPullback attribute [reassoc] GlueData.t_fac GlueData.cocycle namespace GlueData variable {C} variable (D : GlueData C) @[simp] theorem t'_iij (i j : D.J) : D.t' i i j = (pullbackSymmetry _ _).hom := by have eq₁ := D.t_fac i i j have eq₂ := (IsIso.eq_comp_inv (D.f i i)).mpr (@pullback.condition _ _ _ _ _ _ (D.f i j) _) rw [D.t_id, Category.comp_id, eq₂] at eq₁ have eq₃ := (IsIso.eq_comp_inv (D.f i i)).mp eq₁ rw [Category.assoc, ← pullback.condition, ← Category.assoc] at eq₃ exact Mono.right_cancellation _ _ ((Mono.right_cancellation _ _ eq₃).trans (pullbackSymmetry_hom_comp_fst _ _).symm) #align category_theory.glue_data.t'_iij CategoryTheory.GlueData.t'_iij
Mathlib/CategoryTheory/GlueData.lean
88
90
theorem t'_jii (i j : D.J) : D.t' j i i = pullback.fst ≫ D.t j i ≫ inv pullback.snd := by
rw [← Category.assoc, ← D.t_fac] simp
import Mathlib.Data.Matrix.Basic variable {l m n o : Type*} universe u v w variable {R : Type*} {α : Type v} {β : Type w} namespace Matrix def col (w : m → α) : Matrix m Unit α := of fun x _ => w x #align matrix.col Matrix.col -- TODO: set as an equation lemma for `col`, see mathlib4#3024 @[simp] theorem col_apply (w : m → α) (i j) : col w i j = w i := rfl #align matrix.col_apply Matrix.col_apply def row (v : n → α) : Matrix Unit n α := of fun _ y => v y #align matrix.row Matrix.row -- TODO: set as an equation lemma for `row`, see mathlib4#3024 @[simp] theorem row_apply (v : n → α) (i j) : row v i j = v j := rfl #align matrix.row_apply Matrix.row_apply theorem col_injective : Function.Injective (col : (m → α) → _) := fun _x _y h => funext fun i => congr_fun₂ h i () @[simp] theorem col_inj {v w : m → α} : col v = col w ↔ v = w := col_injective.eq_iff @[simp] theorem col_zero [Zero α] : col (0 : m → α) = 0 := rfl @[simp] theorem col_eq_zero [Zero α] (v : m → α) : col v = 0 ↔ v = 0 := col_inj @[simp] theorem col_add [Add α] (v w : m → α) : col (v + w) = col v + col w := by ext rfl #align matrix.col_add Matrix.col_add @[simp] theorem col_smul [SMul R α] (x : R) (v : m → α) : col (x • v) = x • col v := by ext rfl #align matrix.col_smul Matrix.col_smul theorem row_injective : Function.Injective (row : (n → α) → _) := fun _x _y h => funext fun j => congr_fun₂ h () j @[simp] theorem row_inj {v w : n → α} : row v = row w ↔ v = w := row_injective.eq_iff @[simp] theorem row_zero [Zero α] : row (0 : n → α) = 0 := rfl @[simp] theorem row_eq_zero [Zero α] (v : n → α) : row v = 0 ↔ v = 0 := row_inj @[simp] theorem row_add [Add α] (v w : m → α) : row (v + w) = row v + row w := by ext rfl #align matrix.row_add Matrix.row_add @[simp] theorem row_smul [SMul R α] (x : R) (v : m → α) : row (x • v) = x • row v := by ext rfl #align matrix.row_smul Matrix.row_smul @[simp] theorem transpose_col (v : m → α) : (Matrix.col v)ᵀ = Matrix.row v := by ext rfl #align matrix.transpose_col Matrix.transpose_col @[simp] theorem transpose_row (v : m → α) : (Matrix.row v)ᵀ = Matrix.col v := by ext rfl #align matrix.transpose_row Matrix.transpose_row @[simp]
Mathlib/Data/Matrix/RowCol.lean
106
108
theorem conjTranspose_col [Star α] (v : m → α) : (col v)ᴴ = row (star v) := by
ext rfl
import Mathlib.Data.Stream.Defs import Mathlib.Logic.Function.Basic import Mathlib.Init.Data.List.Basic import Mathlib.Data.List.Basic #align_import data.stream.init from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" set_option autoImplicit true open Nat Function Option namespace Stream' variable {α : Type u} {β : Type v} {δ : Type w} instance [Inhabited α] : Inhabited (Stream' α) := ⟨Stream'.const default⟩ protected theorem eta (s : Stream' α) : (head s::tail s) = s := funext fun i => by cases i <;> rfl #align stream.eta Stream'.eta @[ext] protected theorem ext {s₁ s₂ : Stream' α} : (∀ n, get s₁ n = get s₂ n) → s₁ = s₂ := fun h => funext h #align stream.ext Stream'.ext @[simp] theorem get_zero_cons (a : α) (s : Stream' α) : get (a::s) 0 = a := rfl #align stream.nth_zero_cons Stream'.get_zero_cons @[simp] theorem head_cons (a : α) (s : Stream' α) : head (a::s) = a := rfl #align stream.head_cons Stream'.head_cons @[simp] theorem tail_cons (a : α) (s : Stream' α) : tail (a::s) = s := rfl #align stream.tail_cons Stream'.tail_cons @[simp] theorem get_drop (n m : Nat) (s : Stream' α) : get (drop m s) n = get s (n + m) := rfl #align stream.nth_drop Stream'.get_drop theorem tail_eq_drop (s : Stream' α) : tail s = drop 1 s := rfl #align stream.tail_eq_drop Stream'.tail_eq_drop @[simp] theorem drop_drop (n m : Nat) (s : Stream' α) : drop n (drop m s) = drop (n + m) s := by ext; simp [Nat.add_assoc] #align stream.drop_drop Stream'.drop_drop @[simp] theorem get_tail {s : Stream' α} : s.tail.get n = s.get (n + 1) := rfl @[simp] theorem tail_drop' {s : Stream' α} : tail (drop i s) = s.drop (i+1) := by ext; simp [Nat.add_comm, Nat.add_assoc, Nat.add_left_comm] @[simp] theorem drop_tail' {s : Stream' α} : drop i (tail s) = s.drop (i+1) := rfl theorem tail_drop (n : Nat) (s : Stream' α) : tail (drop n s) = drop n (tail s) := by simp #align stream.tail_drop Stream'.tail_drop theorem get_succ (n : Nat) (s : Stream' α) : get s (succ n) = get (tail s) n := rfl #align stream.nth_succ Stream'.get_succ @[simp] theorem get_succ_cons (n : Nat) (s : Stream' α) (x : α) : get (x::s) n.succ = get s n := rfl #align stream.nth_succ_cons Stream'.get_succ_cons @[simp] theorem drop_zero {s : Stream' α} : s.drop 0 = s := rfl theorem drop_succ (n : Nat) (s : Stream' α) : drop (succ n) s = drop n (tail s) := rfl #align stream.drop_succ Stream'.drop_succ theorem head_drop (a : Stream' α) (n : ℕ) : (a.drop n).head = a.get n := by simp #align stream.head_drop Stream'.head_drop theorem cons_injective2 : Function.Injective2 (cons : α → Stream' α → Stream' α) := fun x y s t h => ⟨by rw [← get_zero_cons x s, h, get_zero_cons], Stream'.ext fun n => by rw [← get_succ_cons n _ x, h, get_succ_cons]⟩ #align stream.cons_injective2 Stream'.cons_injective2 theorem cons_injective_left (s : Stream' α) : Function.Injective fun x => cons x s := cons_injective2.left _ #align stream.cons_injective_left Stream'.cons_injective_left theorem cons_injective_right (x : α) : Function.Injective (cons x) := cons_injective2.right _ #align stream.cons_injective_right Stream'.cons_injective_right theorem all_def (p : α → Prop) (s : Stream' α) : All p s = ∀ n, p (get s n) := rfl #align stream.all_def Stream'.all_def theorem any_def (p : α → Prop) (s : Stream' α) : Any p s = ∃ n, p (get s n) := rfl #align stream.any_def Stream'.any_def @[simp] theorem mem_cons (a : α) (s : Stream' α) : a ∈ a::s := Exists.intro 0 rfl #align stream.mem_cons Stream'.mem_cons theorem mem_cons_of_mem {a : α} {s : Stream' α} (b : α) : a ∈ s → a ∈ b::s := fun ⟨n, h⟩ => Exists.intro (succ n) (by rw [get_succ, tail_cons, h]) #align stream.mem_cons_of_mem Stream'.mem_cons_of_mem theorem eq_or_mem_of_mem_cons {a b : α} {s : Stream' α} : (a ∈ b::s) → a = b ∨ a ∈ s := fun ⟨n, h⟩ => by cases' n with n' · left exact h · right rw [get_succ, tail_cons] at h exact ⟨n', h⟩ #align stream.eq_or_mem_of_mem_cons Stream'.eq_or_mem_of_mem_cons theorem mem_of_get_eq {n : Nat} {s : Stream' α} {a : α} : a = get s n → a ∈ s := fun h => Exists.intro n h #align stream.mem_of_nth_eq Stream'.mem_of_get_eq @[simp] theorem mem_const (a : α) : a ∈ const a := Exists.intro 0 rfl #align stream.mem_const Stream'.mem_const theorem const_eq (a : α) : const a = a::const a := by apply Stream'.ext; intro n cases n <;> rfl #align stream.const_eq Stream'.const_eq @[simp] theorem tail_const (a : α) : tail (const a) = const a := suffices tail (a::const a) = const a by rwa [← const_eq] at this rfl #align stream.tail_const Stream'.tail_const @[simp] theorem map_const (f : α → β) (a : α) : map f (const a) = const (f a) := rfl #align stream.map_const Stream'.map_const @[simp] theorem get_const (n : Nat) (a : α) : get (const a) n = a := rfl #align stream.nth_const Stream'.get_const @[simp] theorem drop_const (n : Nat) (a : α) : drop n (const a) = const a := Stream'.ext fun _ => rfl #align stream.drop_const Stream'.drop_const @[simp] theorem head_iterate (f : α → α) (a : α) : head (iterate f a) = a := rfl #align stream.head_iterate Stream'.head_iterate theorem get_succ_iterate' (n : Nat) (f : α → α) (a : α) : get (iterate f a) (succ n) = f (get (iterate f a) n) := rfl theorem tail_iterate (f : α → α) (a : α) : tail (iterate f a) = iterate f (f a) := by ext n rw [get_tail] induction' n with n' ih · rfl · rw [get_succ_iterate', ih, get_succ_iterate'] #align stream.tail_iterate Stream'.tail_iterate
Mathlib/Data/Stream/Init.lean
282
284
theorem iterate_eq (f : α → α) (a : α) : iterate f a = a::iterate f (f a) := by
rw [← Stream'.eta (iterate f a)] rw [tail_iterate]; rfl
import Mathlib.Topology.UniformSpace.Basic import Mathlib.Topology.Separation import Mathlib.Order.Filter.CountableInter #align_import topology.G_delta from "leanprover-community/mathlib"@"b9e46fe101fc897fb2e7edaf0bf1f09ea49eb81a" noncomputable section open Topology TopologicalSpace Filter Encodable Set open scoped Uniformity variable {X Y ι : Type*} {ι' : Sort*} set_option linter.uppercaseLean3 false section IsGδ variable [TopologicalSpace X] def IsGδ (s : Set X) : Prop := ∃ T : Set (Set X), (∀ t ∈ T, IsOpen t) ∧ T.Countable ∧ s = ⋂₀ T #align is_Gδ IsGδ theorem IsOpen.isGδ {s : Set X} (h : IsOpen s) : IsGδ s := ⟨{s}, by simp [h], countable_singleton _, (Set.sInter_singleton _).symm⟩ #align is_open.is_Gδ IsOpen.isGδ @[simp] protected theorem IsGδ.empty : IsGδ (∅ : Set X) := isOpen_empty.isGδ #align is_Gδ_empty IsGδ.empty @[deprecated (since := "2024-02-15")] alias isGδ_empty := IsGδ.empty @[simp] protected theorem IsGδ.univ : IsGδ (univ : Set X) := isOpen_univ.isGδ #align is_Gδ_univ IsGδ.univ @[deprecated (since := "2024-02-15")] alias isGδ_univ := IsGδ.univ theorem IsGδ.biInter_of_isOpen {I : Set ι} (hI : I.Countable) {f : ι → Set X} (hf : ∀ i ∈ I, IsOpen (f i)) : IsGδ (⋂ i ∈ I, f i) := ⟨f '' I, by rwa [forall_mem_image], hI.image _, by rw [sInter_image]⟩ #align is_Gδ_bInter_of_open IsGδ.biInter_of_isOpen @[deprecated (since := "2024-02-15")] alias isGδ_biInter_of_isOpen := IsGδ.biInter_of_isOpen theorem IsGδ.iInter_of_isOpen [Countable ι'] {f : ι' → Set X} (hf : ∀ i, IsOpen (f i)) : IsGδ (⋂ i, f i) := ⟨range f, by rwa [forall_mem_range], countable_range _, by rw [sInter_range]⟩ #align is_Gδ_Inter_of_open IsGδ.iInter_of_isOpen @[deprecated (since := "2024-02-15")] alias isGδ_iInter_of_isOpen := IsGδ.iInter_of_isOpen lemma isGδ_iff_eq_iInter_nat {s : Set X} : IsGδ s ↔ ∃ (f : ℕ → Set X), (∀ n, IsOpen (f n)) ∧ s = ⋂ n, f n := by refine ⟨?_, ?_⟩ · rintro ⟨T, hT, T_count, rfl⟩ rcases Set.eq_empty_or_nonempty T with rfl|hT · exact ⟨fun _n ↦ univ, fun _n ↦ isOpen_univ, by simp⟩ · obtain ⟨f, hf⟩ : ∃ (f : ℕ → Set X), T = range f := Countable.exists_eq_range T_count hT exact ⟨f, by aesop, by simp [hf]⟩ · rintro ⟨f, hf, rfl⟩ exact .iInter_of_isOpen hf alias ⟨IsGδ.eq_iInter_nat, _⟩ := isGδ_iff_eq_iInter_nat protected theorem IsGδ.iInter [Countable ι'] {s : ι' → Set X} (hs : ∀ i, IsGδ (s i)) : IsGδ (⋂ i, s i) := by choose T hTo hTc hTs using hs obtain rfl : s = fun i => ⋂₀ T i := funext hTs refine ⟨⋃ i, T i, ?_, countable_iUnion hTc, (sInter_iUnion _).symm⟩ simpa [@forall_swap ι'] using hTo #align is_Gδ_Inter IsGδ.iInter @[deprecated] alias isGδ_iInter := IsGδ.iInter theorem IsGδ.biInter {s : Set ι} (hs : s.Countable) {t : ∀ i ∈ s, Set X} (ht : ∀ (i) (hi : i ∈ s), IsGδ (t i hi)) : IsGδ (⋂ i ∈ s, t i ‹_›) := by rw [biInter_eq_iInter] haveI := hs.to_subtype exact .iInter fun x => ht x x.2 #align is_Gδ_bInter IsGδ.biInter @[deprecated (since := "2024-02-15")] alias isGδ_biInter := IsGδ.biInter theorem IsGδ.sInter {S : Set (Set X)} (h : ∀ s ∈ S, IsGδ s) (hS : S.Countable) : IsGδ (⋂₀ S) := by simpa only [sInter_eq_biInter] using IsGδ.biInter hS h #align is_Gδ_sInter IsGδ.sInter @[deprecated (since := "2024-02-15")] alias isGδ_sInter := IsGδ.sInter theorem IsGδ.inter {s t : Set X} (hs : IsGδ s) (ht : IsGδ t) : IsGδ (s ∩ t) := by rw [inter_eq_iInter] exact .iInter (Bool.forall_bool.2 ⟨ht, hs⟩) #align is_Gδ.inter IsGδ.inter theorem IsGδ.union {s t : Set X} (hs : IsGδ s) (ht : IsGδ t) : IsGδ (s ∪ t) := by rcases hs with ⟨S, Sopen, Scount, rfl⟩ rcases ht with ⟨T, Topen, Tcount, rfl⟩ rw [sInter_union_sInter] refine .biInter_of_isOpen (Scount.prod Tcount) ?_ rintro ⟨a, b⟩ ⟨ha, hb⟩ exact (Sopen a ha).union (Topen b hb) #align is_Gδ.union IsGδ.union theorem IsGδ.sUnion {S : Set (Set X)} (hS : S.Finite) (h : ∀ s ∈ S, IsGδ s) : IsGδ (⋃₀ S) := by induction S, hS using Set.Finite.dinduction_on with | H0 => simp | H1 _ _ ih => simp only [forall_mem_insert, sUnion_insert] at * exact h.1.union (ih h.2) theorem IsGδ.biUnion {s : Set ι} (hs : s.Finite) {f : ι → Set X} (h : ∀ i ∈ s, IsGδ (f i)) : IsGδ (⋃ i ∈ s, f i) := by rw [← sUnion_image] exact .sUnion (hs.image _) (forall_mem_image.2 h) #align is_Gδ_bUnion IsGδ.biUnion @[deprecated (since := "2024-02-15")] alias isGδ_biUnion := IsGδ.biUnion theorem IsGδ.iUnion [Finite ι'] {f : ι' → Set X} (h : ∀ i, IsGδ (f i)) : IsGδ (⋃ i, f i) := .sUnion (finite_range _) <| forall_mem_range.2 h theorem IsClosed.isGδ {X : Type*} [UniformSpace X] [IsCountablyGenerated (𝓤 X)] {s : Set X} (hs : IsClosed s) : IsGδ s := by rcases (@uniformity_hasBasis_open X _).exists_antitone_subbasis with ⟨U, hUo, hU, -⟩ rw [← hs.closure_eq, ← hU.biInter_biUnion_ball] refine .biInter (to_countable _) fun n _ => IsOpen.isGδ ?_ exact isOpen_biUnion fun x _ => UniformSpace.isOpen_ball _ (hUo _).2 #align is_closed.is_Gδ IsClosed.isGδ section residual variable [TopologicalSpace X] def residual (X : Type*) [TopologicalSpace X] : Filter X := Filter.countableGenerate { t | IsOpen t ∧ Dense t } #align residual residual instance countableInterFilter_residual : CountableInterFilter (residual X) := by rw [residual]; infer_instance #align countable_Inter_filter_residual countableInterFilter_residual theorem residual_of_dense_open {s : Set X} (ho : IsOpen s) (hd : Dense s) : s ∈ residual X := CountableGenerateSets.basic ⟨ho, hd⟩ #align residual_of_dense_open residual_of_dense_open
Mathlib/Topology/GDelta.lean
265
269
theorem residual_of_dense_Gδ {s : Set X} (ho : IsGδ s) (hd : Dense s) : s ∈ residual X := by
rcases ho with ⟨T, To, Tct, rfl⟩ exact (countable_sInter_mem Tct).mpr fun t tT => residual_of_dense_open (To t tT) (hd.mono (sInter_subset_of_mem tT))
import Mathlib.Data.Matrix.Basic import Mathlib.Data.PEquiv #align_import data.matrix.pequiv from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1" namespace PEquiv open Matrix universe u v variable {k l m n : Type*} variable {α : Type v} open Matrix def toMatrix [DecidableEq n] [Zero α] [One α] (f : m ≃. n) : Matrix m n α := of fun i j => if j ∈ f i then (1 : α) else 0 #align pequiv.to_matrix PEquiv.toMatrix -- TODO: set as an equation lemma for `toMatrix`, see mathlib4#3024 @[simp] theorem toMatrix_apply [DecidableEq n] [Zero α] [One α] (f : m ≃. n) (i j) : toMatrix f i j = if j ∈ f i then (1 : α) else 0 := rfl #align pequiv.to_matrix_apply PEquiv.toMatrix_apply theorem mul_matrix_apply [Fintype m] [DecidableEq m] [Semiring α] (f : l ≃. m) (M : Matrix m n α) (i j) : (f.toMatrix * M :) i j = Option.casesOn (f i) 0 fun fi => M fi j := by dsimp [toMatrix, Matrix.mul_apply] cases' h : f i with fi · simp [h] · rw [Finset.sum_eq_single fi] <;> simp (config := { contextual := true }) [h, eq_comm] #align pequiv.mul_matrix_apply PEquiv.mul_matrix_apply theorem toMatrix_symm [DecidableEq m] [DecidableEq n] [Zero α] [One α] (f : m ≃. n) : (f.symm.toMatrix : Matrix n m α) = f.toMatrixᵀ := by ext simp only [transpose, mem_iff_mem f, toMatrix_apply] congr #align pequiv.to_matrix_symm PEquiv.toMatrix_symm @[simp] theorem toMatrix_refl [DecidableEq n] [Zero α] [One α] : ((PEquiv.refl n).toMatrix : Matrix n n α) = 1 := by ext simp [toMatrix_apply, one_apply] #align pequiv.to_matrix_refl PEquiv.toMatrix_refl
Mathlib/Data/Matrix/PEquiv.lean
84
93
theorem matrix_mul_apply [Fintype m] [Semiring α] [DecidableEq n] (M : Matrix l m α) (f : m ≃. n) (i j) : (M * f.toMatrix :) i j = Option.casesOn (f.symm j) 0 fun fj => M i fj := by
dsimp [toMatrix, Matrix.mul_apply] cases' h : f.symm j with fj · simp [h, ← f.eq_some_iff] · rw [Finset.sum_eq_single fj] · simp [h, ← f.eq_some_iff] · rintro b - n simp [h, ← f.eq_some_iff, n.symm] · simp
import Mathlib.Algebra.BigOperators.Option import Mathlib.Analysis.BoxIntegral.Box.Basic import Mathlib.Data.Set.Pairwise.Lattice #align_import analysis.box_integral.partition.basic from "leanprover-community/mathlib"@"84dc0bd6619acaea625086d6f53cb35cdd554219" open Set Finset Function open scoped Classical open NNReal noncomputable section namespace BoxIntegral variable {ι : Type*} structure Prepartition (I : Box ι) where boxes : Finset (Box ι) le_of_mem' : ∀ J ∈ boxes, J ≤ I pairwiseDisjoint : Set.Pairwise (↑boxes) (Disjoint on ((↑) : Box ι → Set (ι → ℝ))) #align box_integral.prepartition BoxIntegral.Prepartition namespace Prepartition variable {I J J₁ J₂ : Box ι} (π : Prepartition I) {π₁ π₂ : Prepartition I} {x : ι → ℝ} instance : Membership (Box ι) (Prepartition I) := ⟨fun J π => J ∈ π.boxes⟩ @[simp] theorem mem_boxes : J ∈ π.boxes ↔ J ∈ π := Iff.rfl #align box_integral.prepartition.mem_boxes BoxIntegral.Prepartition.mem_boxes @[simp] theorem mem_mk {s h₁ h₂} : J ∈ (mk s h₁ h₂ : Prepartition I) ↔ J ∈ s := Iff.rfl #align box_integral.prepartition.mem_mk BoxIntegral.Prepartition.mem_mk theorem disjoint_coe_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (h : J₁ ≠ J₂) : Disjoint (J₁ : Set (ι → ℝ)) J₂ := π.pairwiseDisjoint h₁ h₂ h #align box_integral.prepartition.disjoint_coe_of_mem BoxIntegral.Prepartition.disjoint_coe_of_mem theorem eq_of_mem_of_mem (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hx₁ : x ∈ J₁) (hx₂ : x ∈ J₂) : J₁ = J₂ := by_contra fun H => (π.disjoint_coe_of_mem h₁ h₂ H).le_bot ⟨hx₁, hx₂⟩ #align box_integral.prepartition.eq_of_mem_of_mem BoxIntegral.Prepartition.eq_of_mem_of_mem theorem eq_of_le_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle₁ : J ≤ J₁) (hle₂ : J ≤ J₂) : J₁ = J₂ := π.eq_of_mem_of_mem h₁ h₂ (hle₁ J.upper_mem) (hle₂ J.upper_mem) #align box_integral.prepartition.eq_of_le_of_le BoxIntegral.Prepartition.eq_of_le_of_le theorem eq_of_le (h₁ : J₁ ∈ π) (h₂ : J₂ ∈ π) (hle : J₁ ≤ J₂) : J₁ = J₂ := π.eq_of_le_of_le h₁ h₂ le_rfl hle #align box_integral.prepartition.eq_of_le BoxIntegral.Prepartition.eq_of_le theorem le_of_mem (hJ : J ∈ π) : J ≤ I := π.le_of_mem' J hJ #align box_integral.prepartition.le_of_mem BoxIntegral.Prepartition.le_of_mem theorem lower_le_lower (hJ : J ∈ π) : I.lower ≤ J.lower := Box.antitone_lower (π.le_of_mem hJ) #align box_integral.prepartition.lower_le_lower BoxIntegral.Prepartition.lower_le_lower theorem upper_le_upper (hJ : J ∈ π) : J.upper ≤ I.upper := Box.monotone_upper (π.le_of_mem hJ) #align box_integral.prepartition.upper_le_upper BoxIntegral.Prepartition.upper_le_upper theorem injective_boxes : Function.Injective (boxes : Prepartition I → Finset (Box ι)) := by rintro ⟨s₁, h₁, h₁'⟩ ⟨s₂, h₂, h₂'⟩ (rfl : s₁ = s₂) rfl #align box_integral.prepartition.injective_boxes BoxIntegral.Prepartition.injective_boxes @[ext] theorem ext (h : ∀ J, J ∈ π₁ ↔ J ∈ π₂) : π₁ = π₂ := injective_boxes <| Finset.ext h #align box_integral.prepartition.ext BoxIntegral.Prepartition.ext @[simps] def single (I J : Box ι) (h : J ≤ I) : Prepartition I := ⟨{J}, by simpa, by simp⟩ #align box_integral.prepartition.single BoxIntegral.Prepartition.single @[simp] theorem mem_single {J'} (h : J ≤ I) : J' ∈ single I J h ↔ J' = J := mem_singleton #align box_integral.prepartition.mem_single BoxIntegral.Prepartition.mem_single instance : LE (Prepartition I) := ⟨fun π π' => ∀ ⦃I⦄, I ∈ π → ∃ I' ∈ π', I ≤ I'⟩ instance partialOrder : PartialOrder (Prepartition I) where le := (· ≤ ·) le_refl π I hI := ⟨I, hI, le_rfl⟩ le_trans π₁ π₂ π₃ h₁₂ h₂₃ I₁ hI₁ := let ⟨I₂, hI₂, hI₁₂⟩ := h₁₂ hI₁ let ⟨I₃, hI₃, hI₂₃⟩ := h₂₃ hI₂ ⟨I₃, hI₃, hI₁₂.trans hI₂₃⟩ le_antisymm := by suffices ∀ {π₁ π₂ : Prepartition I}, π₁ ≤ π₂ → π₂ ≤ π₁ → π₁.boxes ⊆ π₂.boxes from fun π₁ π₂ h₁ h₂ => injective_boxes (Subset.antisymm (this h₁ h₂) (this h₂ h₁)) intro π₁ π₂ h₁ h₂ J hJ rcases h₁ hJ with ⟨J', hJ', hle⟩; rcases h₂ hJ' with ⟨J'', hJ'', hle'⟩ obtain rfl : J = J'' := π₁.eq_of_le hJ hJ'' (hle.trans hle') obtain rfl : J' = J := le_antisymm ‹_› ‹_› assumption instance : OrderTop (Prepartition I) where top := single I I le_rfl le_top π J hJ := ⟨I, by simp, π.le_of_mem hJ⟩ instance : OrderBot (Prepartition I) where bot := ⟨∅, fun _ hJ => (Finset.not_mem_empty _ hJ).elim, fun _ hJ => (Set.not_mem_empty _ <| Finset.coe_empty ▸ hJ).elim⟩ bot_le _ _ hJ := (Finset.not_mem_empty _ hJ).elim instance : Inhabited (Prepartition I) := ⟨⊤⟩ theorem le_def : π₁ ≤ π₂ ↔ ∀ J ∈ π₁, ∃ J' ∈ π₂, J ≤ J' := Iff.rfl #align box_integral.prepartition.le_def BoxIntegral.Prepartition.le_def @[simp] theorem mem_top : J ∈ (⊤ : Prepartition I) ↔ J = I := mem_singleton #align box_integral.prepartition.mem_top BoxIntegral.Prepartition.mem_top @[simp] theorem top_boxes : (⊤ : Prepartition I).boxes = {I} := rfl #align box_integral.prepartition.top_boxes BoxIntegral.Prepartition.top_boxes @[simp] theorem not_mem_bot : J ∉ (⊥ : Prepartition I) := Finset.not_mem_empty _ #align box_integral.prepartition.not_mem_bot BoxIntegral.Prepartition.not_mem_bot @[simp] theorem bot_boxes : (⊥ : Prepartition I).boxes = ∅ := rfl #align box_integral.prepartition.bot_boxes BoxIntegral.Prepartition.bot_boxes theorem injOn_setOf_mem_Icc_setOf_lower_eq (x : ι → ℝ) : InjOn (fun J : Box ι => { i | J.lower i = x i }) { J | J ∈ π ∧ x ∈ Box.Icc J } := by rintro J₁ ⟨h₁, hx₁⟩ J₂ ⟨h₂, hx₂⟩ (H : { i | J₁.lower i = x i } = { i | J₂.lower i = x i }) suffices ∀ i, (Ioc (J₁.lower i) (J₁.upper i) ∩ Ioc (J₂.lower i) (J₂.upper i)).Nonempty by choose y hy₁ hy₂ using this exact π.eq_of_mem_of_mem h₁ h₂ hy₁ hy₂ intro i simp only [Set.ext_iff, mem_setOf] at H rcases (hx₁.1 i).eq_or_lt with hi₁ | hi₁ · have hi₂ : J₂.lower i = x i := (H _).1 hi₁ have H₁ : x i < J₁.upper i := by simpa only [hi₁] using J₁.lower_lt_upper i have H₂ : x i < J₂.upper i := by simpa only [hi₂] using J₂.lower_lt_upper i rw [Ioc_inter_Ioc, hi₁, hi₂, sup_idem, Set.nonempty_Ioc] exact lt_min H₁ H₂ · have hi₂ : J₂.lower i < x i := (hx₂.1 i).lt_of_ne (mt (H _).2 hi₁.ne) exact ⟨x i, ⟨hi₁, hx₁.2 i⟩, ⟨hi₂, hx₂.2 i⟩⟩ #align box_integral.prepartition.inj_on_set_of_mem_Icc_set_of_lower_eq BoxIntegral.Prepartition.injOn_setOf_mem_Icc_setOf_lower_eq theorem card_filter_mem_Icc_le [Fintype ι] (x : ι → ℝ) : (π.boxes.filter fun J : Box ι => x ∈ Box.Icc J).card ≤ 2 ^ Fintype.card ι := by rw [← Fintype.card_set] refine Finset.card_le_card_of_inj_on (fun J : Box ι => { i | J.lower i = x i }) (fun _ _ => Finset.mem_univ _) ?_ simpa only [Finset.mem_filter] using π.injOn_setOf_mem_Icc_setOf_lower_eq x #align box_integral.prepartition.card_filter_mem_Icc_le BoxIntegral.Prepartition.card_filter_mem_Icc_le protected def iUnion : Set (ι → ℝ) := ⋃ J ∈ π, ↑J #align box_integral.prepartition.Union BoxIntegral.Prepartition.iUnion theorem iUnion_def : π.iUnion = ⋃ J ∈ π, ↑J := rfl #align box_integral.prepartition.Union_def BoxIntegral.Prepartition.iUnion_def theorem iUnion_def' : π.iUnion = ⋃ J ∈ π.boxes, ↑J := rfl #align box_integral.prepartition.Union_def' BoxIntegral.Prepartition.iUnion_def' -- Porting note: Previous proof was `:= Set.mem_iUnion₂` @[simp] theorem mem_iUnion : x ∈ π.iUnion ↔ ∃ J ∈ π, x ∈ J := by convert Set.mem_iUnion₂ rw [Box.mem_coe, exists_prop] #align box_integral.prepartition.mem_Union BoxIntegral.Prepartition.mem_iUnion @[simp] theorem iUnion_single (h : J ≤ I) : (single I J h).iUnion = J := by simp [iUnion_def] #align box_integral.prepartition.Union_single BoxIntegral.Prepartition.iUnion_single @[simp] theorem iUnion_top : (⊤ : Prepartition I).iUnion = I := by simp [Prepartition.iUnion] #align box_integral.prepartition.Union_top BoxIntegral.Prepartition.iUnion_top @[simp] theorem iUnion_eq_empty : π₁.iUnion = ∅ ↔ π₁ = ⊥ := by simp [← injective_boxes.eq_iff, Finset.ext_iff, Prepartition.iUnion, imp_false] #align box_integral.prepartition.Union_eq_empty BoxIntegral.Prepartition.iUnion_eq_empty @[simp] theorem iUnion_bot : (⊥ : Prepartition I).iUnion = ∅ := iUnion_eq_empty.2 rfl #align box_integral.prepartition.Union_bot BoxIntegral.Prepartition.iUnion_bot theorem subset_iUnion (h : J ∈ π) : ↑J ⊆ π.iUnion := subset_biUnion_of_mem h #align box_integral.prepartition.subset_Union BoxIntegral.Prepartition.subset_iUnion theorem iUnion_subset : π.iUnion ⊆ I := iUnion₂_subset π.le_of_mem' #align box_integral.prepartition.Union_subset BoxIntegral.Prepartition.iUnion_subset @[mono] theorem iUnion_mono (h : π₁ ≤ π₂) : π₁.iUnion ⊆ π₂.iUnion := fun _ hx => let ⟨_, hJ₁, hx⟩ := π₁.mem_iUnion.1 hx let ⟨J₂, hJ₂, hle⟩ := h hJ₁ π₂.mem_iUnion.2 ⟨J₂, hJ₂, hle hx⟩ #align box_integral.prepartition.Union_mono BoxIntegral.Prepartition.iUnion_mono theorem disjoint_boxes_of_disjoint_iUnion (h : Disjoint π₁.iUnion π₂.iUnion) : Disjoint π₁.boxes π₂.boxes := Finset.disjoint_left.2 fun J h₁ h₂ => Disjoint.le_bot (h.mono (π₁.subset_iUnion h₁) (π₂.subset_iUnion h₂)) ⟨J.upper_mem, J.upper_mem⟩ #align box_integral.prepartition.disjoint_boxes_of_disjoint_Union BoxIntegral.Prepartition.disjoint_boxes_of_disjoint_iUnion theorem le_iff_nonempty_imp_le_and_iUnion_subset : π₁ ≤ π₂ ↔ (∀ J ∈ π₁, ∀ J' ∈ π₂, (J ∩ J' : Set (ι → ℝ)).Nonempty → J ≤ J') ∧ π₁.iUnion ⊆ π₂.iUnion := by constructor · refine fun H => ⟨fun J hJ J' hJ' Hne => ?_, iUnion_mono H⟩ rcases H hJ with ⟨J'', hJ'', Hle⟩ rcases Hne with ⟨x, hx, hx'⟩ rwa [π₂.eq_of_mem_of_mem hJ' hJ'' hx' (Hle hx)] · rintro ⟨H, HU⟩ J hJ simp only [Set.subset_def, mem_iUnion] at HU rcases HU J.upper ⟨J, hJ, J.upper_mem⟩ with ⟨J₂, hJ₂, hx⟩ exact ⟨J₂, hJ₂, H _ hJ _ hJ₂ ⟨_, J.upper_mem, hx⟩⟩ #align box_integral.prepartition.le_iff_nonempty_imp_le_and_Union_subset BoxIntegral.Prepartition.le_iff_nonempty_imp_le_and_iUnion_subset theorem eq_of_boxes_subset_iUnion_superset (h₁ : π₁.boxes ⊆ π₂.boxes) (h₂ : π₂.iUnion ⊆ π₁.iUnion) : π₁ = π₂ := le_antisymm (fun J hJ => ⟨J, h₁ hJ, le_rfl⟩) <| le_iff_nonempty_imp_le_and_iUnion_subset.2 ⟨fun _ hJ₁ _ hJ₂ Hne => (π₂.eq_of_mem_of_mem hJ₁ (h₁ hJ₂) Hne.choose_spec.1 Hne.choose_spec.2).le, h₂⟩ #align box_integral.prepartition.eq_of_boxes_subset_Union_superset BoxIntegral.Prepartition.eq_of_boxes_subset_iUnion_superset @[simps] def biUnion (πi : ∀ J : Box ι, Prepartition J) : Prepartition I where boxes := π.boxes.biUnion fun J => (πi J).boxes le_of_mem' J hJ := by simp only [Finset.mem_biUnion, exists_prop, mem_boxes] at hJ rcases hJ with ⟨J', hJ', hJ⟩ exact ((πi J').le_of_mem hJ).trans (π.le_of_mem hJ') pairwiseDisjoint := by simp only [Set.Pairwise, Finset.mem_coe, Finset.mem_biUnion] rintro J₁' ⟨J₁, hJ₁, hJ₁'⟩ J₂' ⟨J₂, hJ₂, hJ₂'⟩ Hne rw [Function.onFun, Set.disjoint_left] rintro x hx₁ hx₂; apply Hne obtain rfl : J₁ = J₂ := π.eq_of_mem_of_mem hJ₁ hJ₂ ((πi J₁).le_of_mem hJ₁' hx₁) ((πi J₂).le_of_mem hJ₂' hx₂) exact (πi J₁).eq_of_mem_of_mem hJ₁' hJ₂' hx₁ hx₂ #align box_integral.prepartition.bUnion BoxIntegral.Prepartition.biUnion variable {πi πi₁ πi₂ : ∀ J : Box ι, Prepartition J} @[simp] theorem mem_biUnion : J ∈ π.biUnion πi ↔ ∃ J' ∈ π, J ∈ πi J' := by simp [biUnion] #align box_integral.prepartition.mem_bUnion BoxIntegral.Prepartition.mem_biUnion theorem biUnion_le (πi : ∀ J, Prepartition J) : π.biUnion πi ≤ π := fun _ hJ => let ⟨J', hJ', hJ⟩ := π.mem_biUnion.1 hJ ⟨J', hJ', (πi J').le_of_mem hJ⟩ #align box_integral.prepartition.bUnion_le BoxIntegral.Prepartition.biUnion_le @[simp]
Mathlib/Analysis/BoxIntegral/Partition/Basic.lean
326
328
theorem biUnion_top : (π.biUnion fun _ => ⊤) = π := by
ext simp
import Mathlib.Algebra.BigOperators.Group.List import Mathlib.Data.Vector.Defs import Mathlib.Data.List.Nodup import Mathlib.Data.List.OfFn import Mathlib.Data.List.InsertNth import Mathlib.Control.Applicative import Mathlib.Control.Traversable.Basic #align_import data.vector.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e" set_option autoImplicit true universe u variable {n : ℕ} namespace Vector variable {α : Type*} @[inherit_doc] infixr:67 " ::ᵥ " => Vector.cons attribute [simp] head_cons tail_cons instance [Inhabited α] : Inhabited (Vector α n) := ⟨ofFn default⟩ theorem toList_injective : Function.Injective (@toList α n) := Subtype.val_injective #align vector.to_list_injective Vector.toList_injective @[ext] theorem ext : ∀ {v w : Vector α n} (_ : ∀ m : Fin n, Vector.get v m = Vector.get w m), v = w | ⟨v, hv⟩, ⟨w, hw⟩, h => Subtype.eq (List.ext_get (by rw [hv, hw]) fun m hm _ => h ⟨m, hv ▸ hm⟩) #align vector.ext Vector.ext instance zero_subsingleton : Subsingleton (Vector α 0) := ⟨fun _ _ => Vector.ext fun m => Fin.elim0 m⟩ #align vector.zero_subsingleton Vector.zero_subsingleton @[simp] theorem cons_val (a : α) : ∀ v : Vector α n, (a ::ᵥ v).val = a :: v.val | ⟨_, _⟩ => rfl #align vector.cons_val Vector.cons_val #align vector.cons_head Vector.head_cons #align vector.cons_tail Vector.tail_cons theorem eq_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) : v = a ::ᵥ v' ↔ v.head = a ∧ v.tail = v' := ⟨fun h => h.symm ▸ ⟨head_cons a v', tail_cons a v'⟩, fun h => _root_.trans (cons_head_tail v).symm (by rw [h.1, h.2])⟩ #align vector.eq_cons_iff Vector.eq_cons_iff theorem ne_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) : v ≠ a ::ᵥ v' ↔ v.head ≠ a ∨ v.tail ≠ v' := by rw [Ne, eq_cons_iff a v v', not_and_or] #align vector.ne_cons_iff Vector.ne_cons_iff theorem exists_eq_cons (v : Vector α n.succ) : ∃ (a : α) (as : Vector α n), v = a ::ᵥ as := ⟨v.head, v.tail, (eq_cons_iff v.head v v.tail).2 ⟨rfl, rfl⟩⟩ #align vector.exists_eq_cons Vector.exists_eq_cons @[simp] theorem toList_ofFn : ∀ {n} (f : Fin n → α), toList (ofFn f) = List.ofFn f | 0, f => by rw [ofFn, List.ofFn_zero, toList, nil] | n + 1, f => by rw [ofFn, List.ofFn_succ, toList_cons, toList_ofFn] #align vector.to_list_of_fn Vector.toList_ofFn @[simp] theorem mk_toList : ∀ (v : Vector α n) (h), (⟨toList v, h⟩ : Vector α n) = v | ⟨_, _⟩, _ => rfl #align vector.mk_to_list Vector.mk_toList @[simp] theorem length_val (v : Vector α n) : v.val.length = n := v.2 -- Porting note: not used in mathlib and coercions done differently in Lean 4 -- @[simp] -- theorem length_coe (v : Vector α n) : -- ((coe : { l : List α // l.length = n } → List α) v).length = n := -- v.2 #noalign vector.length_coe @[simp] theorem toList_map {β : Type*} (v : Vector α n) (f : α → β) : (v.map f).toList = v.toList.map f := by cases v; rfl #align vector.to_list_map Vector.toList_map @[simp] theorem head_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).head = f v.head := by obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v rw [h, map_cons, head_cons, head_cons] #align vector.head_map Vector.head_map @[simp] theorem tail_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).tail = v.tail.map f := by obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v rw [h, map_cons, tail_cons, tail_cons] #align vector.tail_map Vector.tail_map theorem get_eq_get (v : Vector α n) (i : Fin n) : v.get i = v.toList.get (Fin.cast v.toList_length.symm i) := rfl #align vector.nth_eq_nth_le Vector.get_eq_getₓ @[simp] theorem get_replicate (a : α) (i : Fin n) : (Vector.replicate n a).get i = a := by apply List.get_replicate #align vector.nth_repeat Vector.get_replicate @[simp] theorem get_map {β : Type*} (v : Vector α n) (f : α → β) (i : Fin n) : (v.map f).get i = f (v.get i) := by cases v; simp [Vector.map, get_eq_get]; rfl #align vector.nth_map Vector.get_map @[simp] theorem map₂_nil (f : α → β → γ) : Vector.map₂ f nil nil = nil := rfl @[simp] theorem map₂_cons (hd₁ : α) (tl₁ : Vector α n) (hd₂ : β) (tl₂ : Vector β n) (f : α → β → γ) : Vector.map₂ f (hd₁ ::ᵥ tl₁) (hd₂ ::ᵥ tl₂) = f hd₁ hd₂ ::ᵥ (Vector.map₂ f tl₁ tl₂) := rfl @[simp] theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f i := by conv_rhs => erw [← List.get_ofFn f ⟨i, by simp⟩] simp only [get_eq_get] congr <;> simp [Fin.heq_ext_iff] #align vector.nth_of_fn Vector.get_ofFn @[simp] theorem ofFn_get (v : Vector α n) : ofFn (get v) = v := by rcases v with ⟨l, rfl⟩ apply toList_injective dsimp simpa only [toList_ofFn] using List.ofFn_get _ #align vector.of_fn_nth Vector.ofFn_get def _root_.Equiv.vectorEquivFin (α : Type*) (n : ℕ) : Vector α n ≃ (Fin n → α) := ⟨Vector.get, Vector.ofFn, Vector.ofFn_get, fun f => funext <| Vector.get_ofFn f⟩ #align equiv.vector_equiv_fin Equiv.vectorEquivFin theorem get_tail (x : Vector α n) (i) : x.tail.get i = x.get ⟨i.1 + 1, by omega⟩ := by cases' i with i ih; dsimp rcases x with ⟨_ | _, h⟩ <;> try rfl rw [List.length] at h rw [← h] at ih contradiction #align vector.nth_tail Vector.get_tail @[simp] theorem get_tail_succ : ∀ (v : Vector α n.succ) (i : Fin n), get (tail v) i = get v i.succ | ⟨a :: l, e⟩, ⟨i, h⟩ => by simp [get_eq_get]; rfl #align vector.nth_tail_succ Vector.get_tail_succ @[simp] theorem tail_val : ∀ v : Vector α n.succ, v.tail.val = v.val.tail | ⟨_ :: _, _⟩ => rfl #align vector.tail_val Vector.tail_val @[simp] theorem tail_nil : (@nil α).tail = nil := rfl #align vector.tail_nil Vector.tail_nil @[simp] theorem singleton_tail : ∀ (v : Vector α 1), v.tail = Vector.nil | ⟨[_], _⟩ => rfl #align vector.singleton_tail Vector.singleton_tail @[simp] theorem tail_ofFn {n : ℕ} (f : Fin n.succ → α) : tail (ofFn f) = ofFn fun i => f i.succ := (ofFn_get _).symm.trans <| by congr funext i rw [get_tail, get_ofFn] rfl #align vector.tail_of_fn Vector.tail_ofFn @[simp] theorem toList_empty (v : Vector α 0) : v.toList = [] := List.length_eq_zero.mp v.2 #align vector.to_list_empty Vector.toList_empty @[simp] theorem toList_singleton (v : Vector α 1) : v.toList = [v.head] := by rw [← v.cons_head_tail] simp only [toList_cons, toList_nil, head_cons, eq_self_iff_true, and_self_iff, singleton_tail] #align vector.to_list_singleton Vector.toList_singleton @[simp] theorem empty_toList_eq_ff (v : Vector α (n + 1)) : v.toList.isEmpty = false := match v with | ⟨_ :: _, _⟩ => rfl #align vector.empty_to_list_eq_ff Vector.empty_toList_eq_ff theorem not_empty_toList (v : Vector α (n + 1)) : ¬v.toList.isEmpty := by simp only [empty_toList_eq_ff, Bool.coe_sort_false, not_false_iff] #align vector.not_empty_to_list Vector.not_empty_toList @[simp] theorem map_id {n : ℕ} (v : Vector α n) : Vector.map id v = v := Vector.eq _ _ (by simp only [List.map_id, Vector.toList_map]) #align vector.map_id Vector.map_id theorem nodup_iff_injective_get {v : Vector α n} : v.toList.Nodup ↔ Function.Injective v.get := by cases' v with l hl subst hl exact List.nodup_iff_injective_get #align vector.nodup_iff_nth_inj Vector.nodup_iff_injective_get theorem head?_toList : ∀ v : Vector α n.succ, (toList v).head? = some (head v) | ⟨_ :: _, _⟩ => rfl #align vector.head'_to_list Vector.head?_toList def reverse (v : Vector α n) : Vector α n := ⟨v.toList.reverse, by simp⟩ #align vector.reverse Vector.reverse theorem toList_reverse {v : Vector α n} : v.reverse.toList = v.toList.reverse := rfl #align vector.to_list_reverse Vector.toList_reverse @[simp] theorem reverse_reverse {v : Vector α n} : v.reverse.reverse = v := by cases v simp [Vector.reverse] #align vector.reverse_reverse Vector.reverse_reverse @[simp] theorem get_zero : ∀ v : Vector α n.succ, get v 0 = head v | ⟨_ :: _, _⟩ => rfl #align vector.nth_zero Vector.get_zero @[simp] theorem head_ofFn {n : ℕ} (f : Fin n.succ → α) : head (ofFn f) = f 0 := by rw [← get_zero, get_ofFn] #align vector.head_of_fn Vector.head_ofFn --@[simp] Porting note (#10618): simp can prove it theorem get_cons_zero (a : α) (v : Vector α n) : get (a ::ᵥ v) 0 = a := by simp [get_zero] #align vector.nth_cons_zero Vector.get_cons_zero @[simp] theorem get_cons_nil : ∀ {ix : Fin 1} (x : α), get (x ::ᵥ nil) ix = x | ⟨0, _⟩, _ => rfl #align vector.nth_cons_nil Vector.get_cons_nil @[simp] theorem get_cons_succ (a : α) (v : Vector α n) (i : Fin n) : get (a ::ᵥ v) i.succ = get v i := by rw [← get_tail_succ, tail_cons] #align vector.nth_cons_succ Vector.get_cons_succ def last (v : Vector α (n + 1)) : α := v.get (Fin.last n) #align vector.last Vector.last theorem last_def {v : Vector α (n + 1)} : v.last = v.get (Fin.last n) := rfl #align vector.last_def Vector.last_def theorem reverse_get_zero {v : Vector α (n + 1)} : v.reverse.head = v.last := by rw [← get_zero, last_def, get_eq_get, get_eq_get] simp_rw [toList_reverse] rw [← Option.some_inj, Fin.cast, Fin.cast, ← List.get?_eq_get, ← List.get?_eq_get, List.get?_reverse] · congr simp · simp #align vector.reverse_nth_zero Vector.reverse_get_zero def mOfFn {m} [Monad m] {α : Type u} : ∀ {n}, (Fin n → m α) → m (Vector α n) | 0, _ => pure nil | _ + 1, f => do let a ← f 0 let v ← mOfFn fun i => f i.succ pure (a ::ᵥ v) #align vector.m_of_fn Vector.mOfFn theorem mOfFn_pure {m} [Monad m] [LawfulMonad m] {α} : ∀ {n} (f : Fin n → α), (@mOfFn m _ _ _ fun i => pure (f i)) = pure (ofFn f) | 0, f => rfl | n + 1, f => by rw [mOfFn, @mOfFn_pure m _ _ _ n _, ofFn] simp #align vector.m_of_fn_pure Vector.mOfFn_pure def mmap {m} [Monad m] {α} {β : Type u} (f : α → m β) : ∀ {n}, Vector α n → m (Vector β n) | 0, _ => pure nil | _ + 1, xs => do let h' ← f xs.head let t' ← mmap f xs.tail pure (h' ::ᵥ t') #align vector.mmap Vector.mmap @[simp] theorem mmap_nil {m} [Monad m] {α β} (f : α → m β) : mmap f nil = pure nil := rfl #align vector.mmap_nil Vector.mmap_nil @[simp] theorem mmap_cons {m} [Monad m] {α β} (f : α → m β) (a) : ∀ {n} (v : Vector α n), mmap f (a ::ᵥ v) = do let h' ← f a let t' ← mmap f v pure (h' ::ᵥ t') | _, ⟨_, rfl⟩ => rfl #align vector.mmap_cons Vector.mmap_cons @[elab_as_elim, induction_eliminator] def inductionOn {C : ∀ {n : ℕ}, Vector α n → Sort*} {n : ℕ} (v : Vector α n) (nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) : C v := by -- Porting note: removed `generalizing`: already generalized induction' n with n ih · rcases v with ⟨_ | ⟨-, -⟩, - | -⟩ exact nil · rcases v with ⟨_ | ⟨a, v⟩, v_property⟩ cases v_property exact cons (ih ⟨v, (add_left_inj 1).mp v_property⟩) #align vector.induction_on Vector.inductionOn @[simp] theorem inductionOn_nil {C : ∀ {n : ℕ}, Vector α n → Sort*} (nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) : Vector.nil.inductionOn nil cons = nil := rfl @[simp] theorem inductionOn_cons {C : ∀ {n : ℕ}, Vector α n → Sort*} {n : ℕ} (x : α) (v : Vector α n) (nil : C nil) (cons : ∀ {n : ℕ} {x : α} {w : Vector α n}, C w → C (x ::ᵥ w)) : (x ::ᵥ v).inductionOn nil cons = cons (v.inductionOn nil cons : C v) := rfl variable {β γ : Type*} @[elab_as_elim] def inductionOn₂ {C : ∀ {n}, Vector α n → Vector β n → Sort*} (v : Vector α n) (w : Vector β n) (nil : C nil nil) (cons : ∀ {n a b} {x : Vector α n} {y}, C x y → C (a ::ᵥ x) (b ::ᵥ y)) : C v w := by -- Porting note: removed `generalizing`: already generalized induction' n with n ih · rcases v with ⟨_ | ⟨-, -⟩, - | -⟩ rcases w with ⟨_ | ⟨-, -⟩, - | -⟩ exact nil · rcases v with ⟨_ | ⟨a, v⟩, v_property⟩ cases v_property rcases w with ⟨_ | ⟨b, w⟩, w_property⟩ cases w_property apply @cons n _ _ ⟨v, (add_left_inj 1).mp v_property⟩ ⟨w, (add_left_inj 1).mp w_property⟩ apply ih #align vector.induction_on₂ Vector.inductionOn₂ @[elab_as_elim] def inductionOn₃ {C : ∀ {n}, Vector α n → Vector β n → Vector γ n → Sort*} (u : Vector α n) (v : Vector β n) (w : Vector γ n) (nil : C nil nil nil) (cons : ∀ {n a b c} {x : Vector α n} {y z}, C x y z → C (a ::ᵥ x) (b ::ᵥ y) (c ::ᵥ z)) : C u v w := by -- Porting note: removed `generalizing`: already generalized induction' n with n ih · rcases u with ⟨_ | ⟨-, -⟩, - | -⟩ rcases v with ⟨_ | ⟨-, -⟩, - | -⟩ rcases w with ⟨_ | ⟨-, -⟩, - | -⟩ exact nil · rcases u with ⟨_ | ⟨a, u⟩, u_property⟩ cases u_property rcases v with ⟨_ | ⟨b, v⟩, v_property⟩ cases v_property rcases w with ⟨_ | ⟨c, w⟩, w_property⟩ cases w_property apply @cons n _ _ _ ⟨u, (add_left_inj 1).mp u_property⟩ ⟨v, (add_left_inj 1).mp v_property⟩ ⟨w, (add_left_inj 1).mp w_property⟩ apply ih #align vector.induction_on₃ Vector.inductionOn₃ def casesOn {motive : ∀ {n}, Vector α n → Sort*} (v : Vector α m) (nil : motive nil) (cons : ∀ {n}, (hd : α) → (tl : Vector α n) → motive (Vector.cons hd tl)) : motive v := inductionOn (C := motive) v nil @fun _ hd tl _ => cons hd tl def casesOn₂ {motive : ∀{n}, Vector α n → Vector β n → Sort*} (v₁ : Vector α m) (v₂ : Vector β m) (nil : motive nil nil) (cons : ∀{n}, (x : α) → (y : β) → (xs : Vector α n) → (ys : Vector β n) → motive (x ::ᵥ xs) (y ::ᵥ ys)) : motive v₁ v₂ := inductionOn₂ (C := motive) v₁ v₂ nil @fun _ x y xs ys _ => cons x y xs ys def casesOn₃ {motive : ∀{n}, Vector α n → Vector β n → Vector γ n → Sort*} (v₁ : Vector α m) (v₂ : Vector β m) (v₃ : Vector γ m) (nil : motive nil nil nil) (cons : ∀{n}, (x : α) → (y : β) → (z : γ) → (xs : Vector α n) → (ys : Vector β n) → (zs : Vector γ n) → motive (x ::ᵥ xs) (y ::ᵥ ys) (z ::ᵥ zs)) : motive v₁ v₂ v₃ := inductionOn₃ (C := motive) v₁ v₂ v₃ nil @fun _ x y z xs ys zs _ => cons x y z xs ys zs def toArray : Vector α n → Array α | ⟨xs, _⟩ => cast (by rfl) xs.toArray #align vector.to_array Vector.toArray -- Porting note: renamed to `set` from `updateNth` to align with `List` section ModifyNth def set (v : Vector α n) (i : Fin n) (a : α) : Vector α n := ⟨v.1.set i.1 a, by simp⟩ #align vector.update_nth Vector.set @[simp] theorem toList_set (v : Vector α n) (i : Fin n) (a : α) : (v.set i a).toList = v.toList.set i a := rfl #align vector.to_list_update_nth Vector.toList_set @[simp]
Mathlib/Data/Vector/Basic.lean
633
634
theorem get_set_same (v : Vector α n) (i : Fin n) (a : α) : (v.set i a).get i = a := by
cases v; cases i; simp [Vector.set, get_eq_get]
import Mathlib.Analysis.Calculus.MeanValue import Mathlib.Analysis.NormedSpace.RCLike import Mathlib.Order.Filter.Curry #align_import analysis.calculus.uniform_limits_deriv from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b" open Filter open scoped uniformity Filter Topology section LimitsOfDerivatives variable {ι : Type*} {l : Filter ι} {E : Type*} [NormedAddCommGroup E] {𝕜 : Type*} [RCLike 𝕜] [NormedSpace 𝕜 E] {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G] {f : ι → E → G} {g : E → G} {f' : ι → E → E →L[𝕜] G} {g' : E → E →L[𝕜] G} {x : E} theorem uniformCauchySeqOnFilter_of_fderiv (hf' : UniformCauchySeqOnFilter f' l (𝓝 x)) (hf : ∀ᶠ n : ι × E in l ×ˢ 𝓝 x, HasFDerivAt (f n.1) (f' n.1 n.2) n.2) (hfg : Cauchy (map (fun n => f n x) l)) : UniformCauchySeqOnFilter f l (𝓝 x) := by letI : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 _ rw [SeminormedAddGroup.uniformCauchySeqOnFilter_iff_tendstoUniformlyOnFilter_zero] at hf' ⊢ suffices TendstoUniformlyOnFilter (fun (n : ι × ι) (z : E) => f n.1 z - f n.2 z - (f n.1 x - f n.2 x)) 0 (l ×ˢ l) (𝓝 x) ∧ TendstoUniformlyOnFilter (fun (n : ι × ι) (_ : E) => f n.1 x - f n.2 x) 0 (l ×ˢ l) (𝓝 x) by have := this.1.add this.2 rw [add_zero] at this exact this.congr (by simp) constructor · -- This inequality follows from the mean value theorem. To apply it, we will need to shrink our -- neighborhood to small enough ball rw [Metric.tendstoUniformlyOnFilter_iff] at hf' ⊢ intro ε hε have := (tendsto_swap4_prod.eventually (hf.prod_mk hf)).diag_of_prod_right obtain ⟨a, b, c, d, e⟩ := eventually_prod_iff.1 ((hf' ε hε).and this) obtain ⟨R, hR, hR'⟩ := Metric.nhds_basis_ball.eventually_iff.mp d let r := min 1 R have hr : 0 < r := by simp [r, hR] have hr' : ∀ ⦃y : E⦄, y ∈ Metric.ball x r → c y := fun y hy => hR' (lt_of_lt_of_le (Metric.mem_ball.mp hy) (min_le_right _ _)) have hxy : ∀ y : E, y ∈ Metric.ball x r → ‖y - x‖ < 1 := by intro y hy rw [Metric.mem_ball, dist_eq_norm] at hy exact lt_of_lt_of_le hy (min_le_left _ _) have hxyε : ∀ y : E, y ∈ Metric.ball x r → ε * ‖y - x‖ < ε := by intro y hy exact (mul_lt_iff_lt_one_right hε.lt).mpr (hxy y hy) -- With a small ball in hand, apply the mean value theorem refine eventually_prod_iff.mpr ⟨_, b, fun e : E => Metric.ball x r e, eventually_mem_set.mpr (Metric.nhds_basis_ball.mem_of_mem hr), fun {n} hn {y} hy => ?_⟩ simp only [Pi.zero_apply, dist_zero_left] at e ⊢ refine lt_of_le_of_lt ?_ (hxyε y hy) exact Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le (fun y hy => ((e hn (hr' hy)).2.1.sub (e hn (hr' hy)).2.2).hasFDerivWithinAt) (fun y hy => (e hn (hr' hy)).1.le) (convex_ball x r) (Metric.mem_ball_self hr) hy · -- This is just `hfg` run through `eventually_prod_iff` refine Metric.tendstoUniformlyOnFilter_iff.mpr fun ε hε => ?_ obtain ⟨t, ht, ht'⟩ := (Metric.cauchy_iff.mp hfg).2 ε hε exact eventually_prod_iff.mpr ⟨fun n : ι × ι => f n.1 x ∈ t ∧ f n.2 x ∈ t, eventually_prod_iff.mpr ⟨_, ht, _, ht, fun {n} hn {n'} hn' => ⟨hn, hn'⟩⟩, fun _ => True, by simp, fun {n} hn {y} _ => by simpa [norm_sub_rev, dist_eq_norm] using ht' _ hn.1 _ hn.2⟩ #align uniform_cauchy_seq_on_filter_of_fderiv uniformCauchySeqOnFilter_of_fderiv
Mathlib/Analysis/Calculus/UniformLimitsDeriv.lean
176
220
theorem uniformCauchySeqOn_ball_of_fderiv {r : ℝ} (hf' : UniformCauchySeqOn f' l (Metric.ball x r)) (hf : ∀ n : ι, ∀ y : E, y ∈ Metric.ball x r → HasFDerivAt (f n) (f' n y) y) (hfg : Cauchy (map (fun n => f n x) l)) : UniformCauchySeqOn f l (Metric.ball x r) := by
letI : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 _ have : NeBot l := (cauchy_map_iff.1 hfg).1 rcases le_or_lt r 0 with (hr | hr) · simp only [Metric.ball_eq_empty.2 hr, UniformCauchySeqOn, Set.mem_empty_iff_false, IsEmpty.forall_iff, eventually_const, imp_true_iff] rw [SeminormedAddGroup.uniformCauchySeqOn_iff_tendstoUniformlyOn_zero] at hf' ⊢ suffices TendstoUniformlyOn (fun (n : ι × ι) (z : E) => f n.1 z - f n.2 z - (f n.1 x - f n.2 x)) 0 (l ×ˢ l) (Metric.ball x r) ∧ TendstoUniformlyOn (fun (n : ι × ι) (_ : E) => f n.1 x - f n.2 x) 0 (l ×ˢ l) (Metric.ball x r) by have := this.1.add this.2 rw [add_zero] at this refine this.congr ?_ filter_upwards with n z _ using (by simp) constructor · -- This inequality follows from the mean value theorem rw [Metric.tendstoUniformlyOn_iff] at hf' ⊢ intro ε hε obtain ⟨q, hqpos, hq⟩ : ∃ q : ℝ, 0 < q ∧ q * r < ε := by simp_rw [mul_comm] exact exists_pos_mul_lt hε.lt r apply (hf' q hqpos.gt).mono intro n hn y hy simp_rw [dist_eq_norm, Pi.zero_apply, zero_sub, norm_neg] at hn ⊢ have mvt := Convex.norm_image_sub_le_of_norm_hasFDerivWithin_le (fun z hz => ((hf n.1 z hz).sub (hf n.2 z hz)).hasFDerivWithinAt) (fun z hz => (hn z hz).le) (convex_ball x r) (Metric.mem_ball_self hr) hy refine lt_of_le_of_lt mvt ?_ have : q * ‖y - x‖ < q * r := mul_lt_mul' rfl.le (by simpa only [dist_eq_norm] using Metric.mem_ball.mp hy) (norm_nonneg _) hqpos exact this.trans hq · -- This is just `hfg` run through `eventually_prod_iff` refine Metric.tendstoUniformlyOn_iff.mpr fun ε hε => ?_ obtain ⟨t, ht, ht'⟩ := (Metric.cauchy_iff.mp hfg).2 ε hε rw [eventually_prod_iff] refine ⟨fun n => f n x ∈ t, ht, fun n => f n x ∈ t, ht, ?_⟩ intro n hn n' hn' z _ rw [dist_eq_norm, Pi.zero_apply, zero_sub, norm_neg, ← dist_eq_norm] exact ht' _ hn _ hn'
import Mathlib.Algebra.Group.Equiv.TypeTags import Mathlib.GroupTheory.FreeAbelianGroup import Mathlib.GroupTheory.FreeGroup.IsFreeGroup import Mathlib.LinearAlgebra.Dimension.StrongRankCondition #align_import group_theory.free_abelian_group_finsupp from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69" noncomputable section variable {X : Type*} def FreeAbelianGroup.toFinsupp : FreeAbelianGroup X →+ X →₀ ℤ := FreeAbelianGroup.lift fun x => Finsupp.single x (1 : ℤ) #align free_abelian_group.to_finsupp FreeAbelianGroup.toFinsupp def Finsupp.toFreeAbelianGroup : (X →₀ ℤ) →+ FreeAbelianGroup X := Finsupp.liftAddHom fun x => (smulAddHom ℤ (FreeAbelianGroup X)).flip (FreeAbelianGroup.of x) #align finsupp.to_free_abelian_group Finsupp.toFreeAbelianGroup open Finsupp FreeAbelianGroup @[simp] theorem Finsupp.toFreeAbelianGroup_comp_singleAddHom (x : X) : Finsupp.toFreeAbelianGroup.comp (Finsupp.singleAddHom x) = (smulAddHom ℤ (FreeAbelianGroup X)).flip (of x) := by ext simp only [AddMonoidHom.coe_comp, Finsupp.singleAddHom_apply, Function.comp_apply, one_smul, toFreeAbelianGroup, Finsupp.liftAddHom_apply_single] #align finsupp.to_free_abelian_group_comp_single_add_hom Finsupp.toFreeAbelianGroup_comp_singleAddHom @[simp] theorem FreeAbelianGroup.toFinsupp_comp_toFreeAbelianGroup : toFinsupp.comp toFreeAbelianGroup = AddMonoidHom.id (X →₀ ℤ) := by ext x y; simp only [AddMonoidHom.id_comp] rw [AddMonoidHom.comp_assoc, Finsupp.toFreeAbelianGroup_comp_singleAddHom] simp only [toFinsupp, AddMonoidHom.coe_comp, Finsupp.singleAddHom_apply, Function.comp_apply, one_smul, lift.of, AddMonoidHom.flip_apply, smulAddHom_apply, AddMonoidHom.id_apply] #align free_abelian_group.to_finsupp_comp_to_free_abelian_group FreeAbelianGroup.toFinsupp_comp_toFreeAbelianGroup @[simp] theorem Finsupp.toFreeAbelianGroup_comp_toFinsupp : toFreeAbelianGroup.comp toFinsupp = AddMonoidHom.id (FreeAbelianGroup X) := by ext rw [toFreeAbelianGroup, toFinsupp, AddMonoidHom.comp_apply, lift.of, liftAddHom_apply_single, AddMonoidHom.flip_apply, smulAddHom_apply, one_smul, AddMonoidHom.id_apply] #align finsupp.to_free_abelian_group_comp_to_finsupp Finsupp.toFreeAbelianGroup_comp_toFinsupp @[simp] theorem Finsupp.toFreeAbelianGroup_toFinsupp {X} (x : FreeAbelianGroup X) : Finsupp.toFreeAbelianGroup (FreeAbelianGroup.toFinsupp x) = x := by rw [← AddMonoidHom.comp_apply, Finsupp.toFreeAbelianGroup_comp_toFinsupp, AddMonoidHom.id_apply] #align finsupp.to_free_abelian_group_to_finsupp Finsupp.toFreeAbelianGroup_toFinsupp namespace FreeAbelianGroup open Finsupp @[simp] theorem toFinsupp_of (x : X) : toFinsupp (of x) = Finsupp.single x 1 := by simp only [toFinsupp, lift.of] #align free_abelian_group.to_finsupp_of FreeAbelianGroup.toFinsupp_of @[simp] theorem toFinsupp_toFreeAbelianGroup (f : X →₀ ℤ) : FreeAbelianGroup.toFinsupp (Finsupp.toFreeAbelianGroup f) = f := by rw [← AddMonoidHom.comp_apply, toFinsupp_comp_toFreeAbelianGroup, AddMonoidHom.id_apply] #align free_abelian_group.to_finsupp_to_free_abelian_group FreeAbelianGroup.toFinsupp_toFreeAbelianGroup variable (X) @[simps!] def equivFinsupp : FreeAbelianGroup X ≃+ (X →₀ ℤ) where toFun := toFinsupp invFun := toFreeAbelianGroup left_inv := toFreeAbelianGroup_toFinsupp right_inv := toFinsupp_toFreeAbelianGroup map_add' := toFinsupp.map_add #align free_abelian_group.equiv_finsupp FreeAbelianGroup.equivFinsupp noncomputable def basis (α : Type*) : Basis α ℤ (FreeAbelianGroup α) := ⟨(FreeAbelianGroup.equivFinsupp α).toIntLinearEquiv⟩ #align free_abelian_group.basis FreeAbelianGroup.basis def Equiv.ofFreeAbelianGroupLinearEquiv {α β : Type*} (e : FreeAbelianGroup α ≃ₗ[ℤ] FreeAbelianGroup β) : α ≃ β := let t : Basis α ℤ (FreeAbelianGroup β) := (FreeAbelianGroup.basis α).map e t.indexEquiv <| FreeAbelianGroup.basis _ #align free_abelian_group.equiv.of_free_abelian_group_linear_equiv FreeAbelianGroup.Equiv.ofFreeAbelianGroupLinearEquiv def Equiv.ofFreeAbelianGroupEquiv {α β : Type*} (e : FreeAbelianGroup α ≃+ FreeAbelianGroup β) : α ≃ β := Equiv.ofFreeAbelianGroupLinearEquiv e.toIntLinearEquiv #align free_abelian_group.equiv.of_free_abelian_group_equiv FreeAbelianGroup.Equiv.ofFreeAbelianGroupEquiv def Equiv.ofFreeGroupEquiv {α β : Type*} (e : FreeGroup α ≃* FreeGroup β) : α ≃ β := Equiv.ofFreeAbelianGroupEquiv (MulEquiv.toAdditive e.abelianizationCongr) #align free_abelian_group.equiv.of_free_group_equiv FreeAbelianGroup.Equiv.ofFreeGroupEquiv open IsFreeGroup def Equiv.ofIsFreeGroupEquiv {G H : Type*} [Group G] [Group H] [IsFreeGroup G] [IsFreeGroup H] (e : G ≃* H) : Generators G ≃ Generators H := Equiv.ofFreeGroupEquiv <| MulEquiv.trans (toFreeGroup G).symm <| MulEquiv.trans e <| toFreeGroup H #align free_abelian_group.equiv.of_is_free_group_equiv FreeAbelianGroup.Equiv.ofIsFreeGroupEquiv variable {X} def coeff (x : X) : FreeAbelianGroup X →+ ℤ := (Finsupp.applyAddHom x).comp toFinsupp #align free_abelian_group.coeff FreeAbelianGroup.coeff def support (a : FreeAbelianGroup X) : Finset X := a.toFinsupp.support #align free_abelian_group.support FreeAbelianGroup.support theorem mem_support_iff (x : X) (a : FreeAbelianGroup X) : x ∈ a.support ↔ coeff x a ≠ 0 := by rw [support, Finsupp.mem_support_iff] exact Iff.rfl #align free_abelian_group.mem_support_iff FreeAbelianGroup.mem_support_iff
Mathlib/GroupTheory/FreeAbelianGroupFinsupp.lean
154
156
theorem not_mem_support_iff (x : X) (a : FreeAbelianGroup X) : x ∉ a.support ↔ coeff x a = 0 := by
rw [support, Finsupp.not_mem_support_iff] exact Iff.rfl
import Mathlib.Analysis.Complex.Basic import Mathlib.Topology.FiberBundle.IsHomeomorphicTrivialBundle #align_import analysis.complex.re_im_topology from "leanprover-community/mathlib"@"468b141b14016d54b479eb7a0fff1e360b7e3cf6" open Set noncomputable section namespace Complex theorem isHomeomorphicTrivialFiberBundle_re : IsHomeomorphicTrivialFiberBundle ℝ re := ⟨equivRealProdCLM.toHomeomorph, fun _ => rfl⟩ #align complex.is_homeomorphic_trivial_fiber_bundle_re Complex.isHomeomorphicTrivialFiberBundle_re theorem isHomeomorphicTrivialFiberBundle_im : IsHomeomorphicTrivialFiberBundle ℝ im := ⟨equivRealProdCLM.toHomeomorph.trans (Homeomorph.prodComm ℝ ℝ), fun _ => rfl⟩ #align complex.is_homeomorphic_trivial_fiber_bundle_im Complex.isHomeomorphicTrivialFiberBundle_im theorem isOpenMap_re : IsOpenMap re := isHomeomorphicTrivialFiberBundle_re.isOpenMap_proj #align complex.is_open_map_re Complex.isOpenMap_re theorem isOpenMap_im : IsOpenMap im := isHomeomorphicTrivialFiberBundle_im.isOpenMap_proj #align complex.is_open_map_im Complex.isOpenMap_im theorem quotientMap_re : QuotientMap re := isHomeomorphicTrivialFiberBundle_re.quotientMap_proj #align complex.quotient_map_re Complex.quotientMap_re theorem quotientMap_im : QuotientMap im := isHomeomorphicTrivialFiberBundle_im.quotientMap_proj #align complex.quotient_map_im Complex.quotientMap_im theorem interior_preimage_re (s : Set ℝ) : interior (re ⁻¹' s) = re ⁻¹' interior s := (isOpenMap_re.preimage_interior_eq_interior_preimage continuous_re _).symm #align complex.interior_preimage_re Complex.interior_preimage_re theorem interior_preimage_im (s : Set ℝ) : interior (im ⁻¹' s) = im ⁻¹' interior s := (isOpenMap_im.preimage_interior_eq_interior_preimage continuous_im _).symm #align complex.interior_preimage_im Complex.interior_preimage_im theorem closure_preimage_re (s : Set ℝ) : closure (re ⁻¹' s) = re ⁻¹' closure s := (isOpenMap_re.preimage_closure_eq_closure_preimage continuous_re _).symm #align complex.closure_preimage_re Complex.closure_preimage_re theorem closure_preimage_im (s : Set ℝ) : closure (im ⁻¹' s) = im ⁻¹' closure s := (isOpenMap_im.preimage_closure_eq_closure_preimage continuous_im _).symm #align complex.closure_preimage_im Complex.closure_preimage_im theorem frontier_preimage_re (s : Set ℝ) : frontier (re ⁻¹' s) = re ⁻¹' frontier s := (isOpenMap_re.preimage_frontier_eq_frontier_preimage continuous_re _).symm #align complex.frontier_preimage_re Complex.frontier_preimage_re theorem frontier_preimage_im (s : Set ℝ) : frontier (im ⁻¹' s) = im ⁻¹' frontier s := (isOpenMap_im.preimage_frontier_eq_frontier_preimage continuous_im _).symm #align complex.frontier_preimage_im Complex.frontier_preimage_im @[simp] theorem interior_setOf_re_le (a : ℝ) : interior { z : ℂ | z.re ≤ a } = { z | z.re < a } := by simpa only [interior_Iic] using interior_preimage_re (Iic a) #align complex.interior_set_of_re_le Complex.interior_setOf_re_le @[simp] theorem interior_setOf_im_le (a : ℝ) : interior { z : ℂ | z.im ≤ a } = { z | z.im < a } := by simpa only [interior_Iic] using interior_preimage_im (Iic a) #align complex.interior_set_of_im_le Complex.interior_setOf_im_le @[simp] theorem interior_setOf_le_re (a : ℝ) : interior { z : ℂ | a ≤ z.re } = { z | a < z.re } := by simpa only [interior_Ici] using interior_preimage_re (Ici a) #align complex.interior_set_of_le_re Complex.interior_setOf_le_re @[simp] theorem interior_setOf_le_im (a : ℝ) : interior { z : ℂ | a ≤ z.im } = { z | a < z.im } := by simpa only [interior_Ici] using interior_preimage_im (Ici a) #align complex.interior_set_of_le_im Complex.interior_setOf_le_im @[simp] theorem closure_setOf_re_lt (a : ℝ) : closure { z : ℂ | z.re < a } = { z | z.re ≤ a } := by simpa only [closure_Iio] using closure_preimage_re (Iio a) #align complex.closure_set_of_re_lt Complex.closure_setOf_re_lt @[simp] theorem closure_setOf_im_lt (a : ℝ) : closure { z : ℂ | z.im < a } = { z | z.im ≤ a } := by simpa only [closure_Iio] using closure_preimage_im (Iio a) #align complex.closure_set_of_im_lt Complex.closure_setOf_im_lt @[simp] theorem closure_setOf_lt_re (a : ℝ) : closure { z : ℂ | a < z.re } = { z | a ≤ z.re } := by simpa only [closure_Ioi] using closure_preimage_re (Ioi a) #align complex.closure_set_of_lt_re Complex.closure_setOf_lt_re @[simp] theorem closure_setOf_lt_im (a : ℝ) : closure { z : ℂ | a < z.im } = { z | a ≤ z.im } := by simpa only [closure_Ioi] using closure_preimage_im (Ioi a) #align complex.closure_set_of_lt_im Complex.closure_setOf_lt_im @[simp] theorem frontier_setOf_re_le (a : ℝ) : frontier { z : ℂ | z.re ≤ a } = { z | z.re = a } := by simpa only [frontier_Iic] using frontier_preimage_re (Iic a) #align complex.frontier_set_of_re_le Complex.frontier_setOf_re_le @[simp] theorem frontier_setOf_im_le (a : ℝ) : frontier { z : ℂ | z.im ≤ a } = { z | z.im = a } := by simpa only [frontier_Iic] using frontier_preimage_im (Iic a) #align complex.frontier_set_of_im_le Complex.frontier_setOf_im_le @[simp] theorem frontier_setOf_le_re (a : ℝ) : frontier { z : ℂ | a ≤ z.re } = { z | z.re = a } := by simpa only [frontier_Ici] using frontier_preimage_re (Ici a) #align complex.frontier_set_of_le_re Complex.frontier_setOf_le_re @[simp] theorem frontier_setOf_le_im (a : ℝ) : frontier { z : ℂ | a ≤ z.im } = { z | z.im = a } := by simpa only [frontier_Ici] using frontier_preimage_im (Ici a) #align complex.frontier_set_of_le_im Complex.frontier_setOf_le_im @[simp] theorem frontier_setOf_re_lt (a : ℝ) : frontier { z : ℂ | z.re < a } = { z | z.re = a } := by simpa only [frontier_Iio] using frontier_preimage_re (Iio a) #align complex.frontier_set_of_re_lt Complex.frontier_setOf_re_lt @[simp] theorem frontier_setOf_im_lt (a : ℝ) : frontier { z : ℂ | z.im < a } = { z | z.im = a } := by simpa only [frontier_Iio] using frontier_preimage_im (Iio a) #align complex.frontier_set_of_im_lt Complex.frontier_setOf_im_lt @[simp] theorem frontier_setOf_lt_re (a : ℝ) : frontier { z : ℂ | a < z.re } = { z | z.re = a } := by simpa only [frontier_Ioi] using frontier_preimage_re (Ioi a) #align complex.frontier_set_of_lt_re Complex.frontier_setOf_lt_re @[simp]
Mathlib/Analysis/Complex/ReImTopology.lean
169
170
theorem frontier_setOf_lt_im (a : ℝ) : frontier { z : ℂ | a < z.im } = { z | z.im = a } := by
simpa only [frontier_Ioi] using frontier_preimage_im (Ioi a)
import Mathlib.Algebra.Module.Submodule.EqLocus import Mathlib.Algebra.Module.Submodule.RestrictScalars import Mathlib.Algebra.Ring.Idempotents import Mathlib.Data.Set.Pointwise.SMul import Mathlib.LinearAlgebra.Basic import Mathlib.Order.CompactlyGenerated.Basic import Mathlib.Order.OmegaCompletePartialOrder #align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0" variable {R R₂ K M M₂ V S : Type*} namespace Submodule open Function Set open Pointwise section AddCommMonoid variable [Semiring R] [AddCommMonoid M] [Module R M] variable {x : M} (p p' : Submodule R M) variable [Semiring R₂] {σ₁₂ : R →+* R₂} variable [AddCommMonoid M₂] [Module R₂ M₂] variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂] section variable (R) def span (s : Set M) : Submodule R M := sInf { p | s ⊆ p } #align submodule.span Submodule.span variable {R} -- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument @[mk_iff] class IsPrincipal (S : Submodule R M) : Prop where principal' : ∃ a, S = span R {a} #align submodule.is_principal Submodule.IsPrincipal theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] : ∃ a, S = span R {a} := Submodule.IsPrincipal.principal' #align submodule.is_principal.principal Submodule.IsPrincipal.principal end variable {s t : Set M} theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p := mem_iInter₂ #align submodule.mem_span Submodule.mem_span @[aesop safe 20 apply (rule_sets := [SetLike])] theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h #align submodule.subset_span Submodule.subset_span theorem span_le {p} : span R s ≤ p ↔ s ⊆ p := ⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩ #align submodule.span_le Submodule.span_le theorem span_mono (h : s ⊆ t) : span R s ≤ span R t := span_le.2 <| Subset.trans h subset_span #align submodule.span_mono Submodule.span_mono theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono #align submodule.span_monotone Submodule.span_monotone theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p := le_antisymm (span_le.2 h₁) h₂ #align submodule.span_eq_of_le Submodule.span_eq_of_le theorem span_eq : span R (p : Set M) = p := span_eq_of_le _ (Subset.refl _) subset_span #align submodule.span_eq Submodule.span_eq theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t := le_antisymm (span_le.2 hs) (span_le.2 ht) #align submodule.span_eq_span Submodule.span_eq_span lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) : (span R (s : Set M) : Set M) = s := by refine le_antisymm ?_ subset_span let s' : Submodule R M := { carrier := s add_mem' := add_mem zero_mem' := zero_mem _ smul_mem' := SMulMemClass.smul_mem } exact span_le (p := s') |>.mpr le_rfl @[simp] theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] : span S (p : Set M) = p.restrictScalars S := span_eq (p.restrictScalars S) #align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) : f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f) theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) := (image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩ theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) : (span R s).map f = span R₂ (f '' s) := Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s) #align submodule.map_span Submodule.map_span alias _root_.LinearMap.map_span := Submodule.map_span #align linear_map.map_span LinearMap.map_span theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) : map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N #align submodule.map_span_le Submodule.map_span_le alias _root_.LinearMap.map_span_le := Submodule.map_span_le #align linear_map.map_span_le LinearMap.map_span_le @[simp] theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s)) rw [span_le, Set.insert_subset_iff] exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩ #align submodule.span_insert_zero Submodule.span_insert_zero -- See also `span_preimage_eq` below. theorem span_preimage_le (f : F) (s : Set M₂) : span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by rw [span_le, comap_coe] exact preimage_mono subset_span #align submodule.span_preimage_le Submodule.span_preimage_le alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le #align linear_map.span_preimage_le LinearMap.span_preimage_le theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s := (@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span #align submodule.closure_subset_span Submodule.closure_subset_span theorem closure_le_toAddSubmonoid_span {s : Set M} : AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid := closure_subset_span #align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span @[simp] theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s := le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure) #align submodule.span_closure Submodule.span_closure @[elab_as_elim] theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0) (add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x := ((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h #align submodule.span_induction Submodule.span_induction theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s) (hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y) (zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0) (add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y) (add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂)) (smul_left : ∀ (r : R) x y, p x y → p (r • x) y) (smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b := Submodule.span_induction ha (fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r => smul_right r x) (zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b @[elab_as_elim] theorem span_induction' {p : ∀ x, x ∈ span R s → Prop} (mem : ∀ (x) (h : x ∈ s), p x (subset_span h)) (zero : p 0 (Submodule.zero_mem _)) (add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) (smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x} (hx : x ∈ span R s) : p x hx := by refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc refine span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩ (fun x y hx hy => Exists.elim hx fun hx' hx => Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩) fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩ #align submodule.span_induction' Submodule.span_induction' open AddSubmonoid in theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by refine le_antisymm (fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩) (zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_) (closure_le.2 ?_) · rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm) · rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩ · rw [smul_zero]; apply zero_mem · rw [smul_add]; exact add_mem h h' @[elab_as_elim] theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0) (add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by rw [← mem_toAddSubmonoid, span_eq_closure] at h refine AddSubmonoid.closure_induction h ?_ zero add rintro _ ⟨r, -, m, hm, rfl⟩ exact smul_mem r m hm @[elab_as_elim] theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop} (zero : p 0 (Submodule.zero_mem _)) (add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) (smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x} (hx : x ∈ span R s) : p x hx := by refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc refine closure_induction hx ⟨zero_mem _, zero⟩ (fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦ Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩) fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩ @[simp] theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ := eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s)) (fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx · exact zero_mem _ · exact add_mem · exact smul_mem _ _ #align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage @[simp] lemma span_setOf_mem_eq_top : span R {x : span R s | (x : M) ∈ s} = ⊤ := span_span_coe_preimage theorem span_nat_eq_addSubmonoid_closure (s : Set M) : (span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_) apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le (a := span ℕ s) (b := AddSubmonoid.closure s) rw [span_le] exact AddSubmonoid.subset_closure #align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure @[simp] theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by rw [span_nat_eq_addSubmonoid_closure, s.closure_eq] #align submodule.span_nat_eq Submodule.span_nat_eq theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) : (span ℤ s).toAddSubgroup = AddSubgroup.closure s := Eq.symm <| AddSubgroup.closure_eq_of_le _ subset_span fun x hx => span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _) (fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _ #align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure @[simp]
Mathlib/LinearAlgebra/Span.lean
289
290
theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) : (span ℤ (s : Set M)).toAddSubgroup = s := by
rw [span_int_eq_addSubgroup_closure, s.closure_eq]
import Mathlib.Analysis.InnerProductSpace.Dual import Mathlib.Analysis.InnerProductSpace.Orientation import Mathlib.Data.Complex.Orientation import Mathlib.Tactic.LinearCombination #align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af" noncomputable section open scoped RealInnerProductSpace ComplexConjugate open FiniteDimensional lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K] [AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V := .of_fact_finrank_eq_succ 1 attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two @[deprecated (since := "2024-02-02")] alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two := FiniteDimensional.of_fact_finrank_eq_two variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)] (o : Orientation ℝ E (Fin 2)) namespace Orientation irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ := AlternatingMap.constLinearEquivOfIsEmpty.symm let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ := LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm #align orientation.area_form Orientation.areaForm local notation "ω" => o.areaForm theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm] #align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm @[simp]
Mathlib/Analysis/InnerProductSpace/TwoDim.lean
109
113
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm] refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1) · simp · norm_num
import Mathlib.Data.PFunctor.Univariate.M #align_import data.qpf.univariate.basic from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7" universe u class QPF (F : Type u → Type u) [Functor F] where P : PFunctor.{u} abs : ∀ {α}, P α → F α repr : ∀ {α}, F α → P α abs_repr : ∀ {α} (x : F α), abs (repr x) = x abs_map : ∀ {α β} (f : α → β) (p : P α), abs (P.map f p) = f <$> abs p #align qpf QPF namespace QPF variable {F : Type u → Type u} [Functor F] [q : QPF F] open Functor (Liftp Liftr) theorem id_map {α : Type _} (x : F α) : id <$> x = x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map] rfl #align qpf.id_map QPF.id_map theorem comp_map {α β γ : Type _} (f : α → β) (g : β → γ) (x : F α) : (g ∘ f) <$> x = g <$> f <$> x := by rw [← abs_repr x] cases' repr x with a f rw [← abs_map, ← abs_map, ← abs_map] rfl #align qpf.comp_map QPF.comp_map theorem lawfulFunctor (h : ∀ α β : Type u, @Functor.mapConst F _ α _ = Functor.map ∘ Function.const β) : LawfulFunctor F := { map_const := @h id_map := @id_map F _ _ comp_map := @comp_map F _ _ } #align qpf.is_lawful_functor QPF.lawfulFunctor section open Functor theorem liftp_iff {α : Type u} (p : α → Prop) (x : F α) : Liftp p x ↔ ∃ a f, x = abs ⟨a, f⟩ ∧ ∀ i, p (f i) := by constructor · rintro ⟨y, hy⟩ cases' h : repr y with a f use a, fun i => (f i).val constructor · rw [← hy, ← abs_repr y, h, ← abs_map] rfl intro i apply (f i).property rintro ⟨a, f, h₀, h₁⟩ use abs ⟨a, fun i => ⟨f i, h₁ i⟩⟩ rw [← abs_map, h₀]; rfl #align qpf.liftp_iff QPF.liftp_iff
Mathlib/Data/QPF/Univariate/Basic.lean
117
131
theorem liftp_iff' {α : Type u} (p : α → Prop) (x : F α) : Liftp p x ↔ ∃ u : q.P α, abs u = x ∧ ∀ i, p (u.snd i) := by
constructor · rintro ⟨y, hy⟩ cases' h : repr y with a f use ⟨a, fun i => (f i).val⟩ dsimp constructor · rw [← hy, ← abs_repr y, h, ← abs_map] rfl intro i apply (f i).property rintro ⟨⟨a, f⟩, h₀, h₁⟩; dsimp at * use abs ⟨a, fun i => ⟨f i, h₁ i⟩⟩ rw [← abs_map, ← h₀]; rfl
import Mathlib.MeasureTheory.Measure.Haar.Basic import Mathlib.Analysis.InnerProductSpace.PiL2 #align_import measure_theory.measure.haar.of_basis from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d" open Set TopologicalSpace MeasureTheory MeasureTheory.Measure FiniteDimensional open scoped Pointwise noncomputable section variable {ι ι' E F : Type*} section Fintype variable [Fintype ι] [Fintype ι'] section AddCommGroup variable [AddCommGroup E] [Module ℝ E] [AddCommGroup F] [Module ℝ F] def parallelepiped (v : ι → E) : Set E := (fun t : ι → ℝ => ∑ i, t i • v i) '' Icc 0 1 #align parallelepiped parallelepiped theorem mem_parallelepiped_iff (v : ι → E) (x : E) : x ∈ parallelepiped v ↔ ∃ t ∈ Icc (0 : ι → ℝ) 1, x = ∑ i, t i • v i := by simp [parallelepiped, eq_comm] #align mem_parallelepiped_iff mem_parallelepiped_iff theorem parallelepiped_basis_eq (b : Basis ι ℝ E) : parallelepiped b = {x | ∀ i, b.repr x i ∈ Set.Icc 0 1} := by classical ext x simp_rw [mem_parallelepiped_iff, mem_setOf_eq, b.ext_elem_iff, _root_.map_sum, _root_.map_smul, Finset.sum_apply', Basis.repr_self, Finsupp.smul_single, smul_eq_mul, mul_one, Finsupp.single_apply, Finset.sum_ite_eq', Finset.mem_univ, ite_true, mem_Icc, Pi.le_def, Pi.zero_apply, Pi.one_apply, ← forall_and] aesop theorem image_parallelepiped (f : E →ₗ[ℝ] F) (v : ι → E) : f '' parallelepiped v = parallelepiped (f ∘ v) := by simp only [parallelepiped, ← image_comp] congr 1 with t simp only [Function.comp_apply, _root_.map_sum, LinearMap.map_smulₛₗ, RingHom.id_apply] #align image_parallelepiped image_parallelepiped @[simp] theorem parallelepiped_comp_equiv (v : ι → E) (e : ι' ≃ ι) : parallelepiped (v ∘ e) = parallelepiped v := by simp only [parallelepiped] let K : (ι' → ℝ) ≃ (ι → ℝ) := Equiv.piCongrLeft' (fun _a : ι' => ℝ) e have : Icc (0 : ι → ℝ) 1 = K '' Icc (0 : ι' → ℝ) 1 := by rw [← Equiv.preimage_eq_iff_eq_image] ext x simp only [K, mem_preimage, mem_Icc, Pi.le_def, Pi.zero_apply, Equiv.piCongrLeft'_apply, Pi.one_apply] refine ⟨fun h => ⟨fun i => ?_, fun i => ?_⟩, fun h => ⟨fun i => h.1 (e.symm i), fun i => h.2 (e.symm i)⟩⟩ · simpa only [Equiv.symm_apply_apply] using h.1 (e i) · simpa only [Equiv.symm_apply_apply] using h.2 (e i) rw [this, ← image_comp] congr 1 with x have := fun z : ι' → ℝ => e.symm.sum_comp fun i => z i • v (e i) simp_rw [Equiv.apply_symm_apply] at this simp_rw [Function.comp_apply, mem_image, mem_Icc, K, Equiv.piCongrLeft'_apply, this] #align parallelepiped_comp_equiv parallelepiped_comp_equiv -- The parallelepiped associated to an orthonormal basis of `ℝ` is either `[0, 1]` or `[-1, 0]`. theorem parallelepiped_orthonormalBasis_one_dim (b : OrthonormalBasis ι ℝ ℝ) : parallelepiped b = Icc 0 1 ∨ parallelepiped b = Icc (-1) 0 := by have e : ι ≃ Fin 1 := by apply Fintype.equivFinOfCardEq simp only [← finrank_eq_card_basis b.toBasis, finrank_self] have B : parallelepiped (b.reindex e) = parallelepiped b := by convert parallelepiped_comp_equiv b e.symm ext i simp only [OrthonormalBasis.coe_reindex] rw [← B] let F : ℝ → Fin 1 → ℝ := fun t => fun _i => t have A : Icc (0 : Fin 1 → ℝ) 1 = F '' Icc (0 : ℝ) 1 := by apply Subset.antisymm · intro x hx refine ⟨x 0, ⟨hx.1 0, hx.2 0⟩, ?_⟩ ext j simp only [Subsingleton.elim j 0] · rintro x ⟨y, hy, rfl⟩ exact ⟨fun _j => hy.1, fun _j => hy.2⟩ rcases orthonormalBasis_one_dim (b.reindex e) with (H | H) · left simp_rw [parallelepiped, H, A, Algebra.id.smul_eq_mul, mul_one] simp only [Finset.univ_unique, Fin.default_eq_zero, smul_eq_mul, mul_one, Finset.sum_singleton, ← image_comp, Function.comp_apply, image_id', ge_iff_le, zero_le_one, not_true, gt_iff_lt] · right simp_rw [H, parallelepiped, Algebra.id.smul_eq_mul, A] simp only [F, Finset.univ_unique, Fin.default_eq_zero, mul_neg, mul_one, Finset.sum_neg_distrib, Finset.sum_singleton, ← image_comp, Function.comp, image_neg, preimage_neg_Icc, neg_zero] #align parallelepiped_orthonormal_basis_one_dim parallelepiped_orthonormalBasis_one_dim
Mathlib/MeasureTheory/Measure/Haar/OfBasis.lean
128
138
theorem parallelepiped_eq_sum_segment (v : ι → E) : parallelepiped v = ∑ i, segment ℝ 0 (v i) := by
ext simp only [mem_parallelepiped_iff, Set.mem_finset_sum, Finset.mem_univ, forall_true_left, segment_eq_image, smul_zero, zero_add, ← Set.pi_univ_Icc, Set.mem_univ_pi] constructor · rintro ⟨t, ht, rfl⟩ exact ⟨t • v, fun {i} => ⟨t i, ht _, by simp⟩, rfl⟩ rintro ⟨g, hg, rfl⟩ choose t ht hg using @hg refine ⟨@t, @ht, ?_⟩ simp_rw [hg]
import Batteries.Control.ForInStep.Lemmas import Batteries.Data.List.Basic import Batteries.Tactic.Init import Batteries.Tactic.Alias namespace List open Nat @[simp] theorem mem_toArray {a : α} {l : List α} : a ∈ l.toArray ↔ a ∈ l := by simp [Array.mem_def] @[simp] theorem drop_one : ∀ l : List α, drop 1 l = tail l | [] | _ :: _ => rfl theorem zipWith_distrib_tail : (zipWith f l l').tail = zipWith f l.tail l'.tail := by rw [← drop_one]; simp [zipWith_distrib_drop] theorem subset_def {l₁ l₂ : List α} : l₁ ⊆ l₂ ↔ ∀ {a : α}, a ∈ l₁ → a ∈ l₂ := .rfl @[simp] theorem nil_subset (l : List α) : [] ⊆ l := nofun @[simp] theorem Subset.refl (l : List α) : l ⊆ l := fun _ i => i theorem Subset.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ ⊆ l₂) (h₂ : l₂ ⊆ l₃) : l₁ ⊆ l₃ := fun _ i => h₂ (h₁ i) instance : Trans (Membership.mem : α → List α → Prop) Subset Membership.mem := ⟨fun h₁ h₂ => h₂ h₁⟩ instance : Trans (Subset : List α → List α → Prop) Subset Subset := ⟨Subset.trans⟩ @[simp] theorem subset_cons (a : α) (l : List α) : l ⊆ a :: l := fun _ => Mem.tail _ theorem subset_of_cons_subset {a : α} {l₁ l₂ : List α} : a :: l₁ ⊆ l₂ → l₁ ⊆ l₂ := fun s _ i => s (mem_cons_of_mem _ i) theorem subset_cons_of_subset (a : α) {l₁ l₂ : List α} : l₁ ⊆ l₂ → l₁ ⊆ a :: l₂ := fun s _ i => .tail _ (s i) theorem cons_subset_cons {l₁ l₂ : List α} (a : α) (s : l₁ ⊆ l₂) : a :: l₁ ⊆ a :: l₂ := fun _ => by simp only [mem_cons]; exact Or.imp_right (@s _) @[simp] theorem subset_append_left (l₁ l₂ : List α) : l₁ ⊆ l₁ ++ l₂ := fun _ => mem_append_left _ @[simp] theorem subset_append_right (l₁ l₂ : List α) : l₂ ⊆ l₁ ++ l₂ := fun _ => mem_append_right _ theorem subset_append_of_subset_left (l₂ : List α) : l ⊆ l₁ → l ⊆ l₁ ++ l₂ := fun s => Subset.trans s <| subset_append_left _ _ theorem subset_append_of_subset_right (l₁ : List α) : l ⊆ l₂ → l ⊆ l₁ ++ l₂ := fun s => Subset.trans s <| subset_append_right _ _ @[simp] theorem cons_subset : a :: l ⊆ m ↔ a ∈ m ∧ l ⊆ m := by simp only [subset_def, mem_cons, or_imp, forall_and, forall_eq] @[simp] theorem append_subset {l₁ l₂ l : List α} : l₁ ++ l₂ ⊆ l ↔ l₁ ⊆ l ∧ l₂ ⊆ l := by simp [subset_def, or_imp, forall_and] theorem subset_nil {l : List α} : l ⊆ [] ↔ l = [] := ⟨fun h => match l with | [] => rfl | _::_ => (nomatch h (.head ..)), fun | rfl => Subset.refl _⟩ theorem map_subset {l₁ l₂ : List α} (f : α → β) (H : l₁ ⊆ l₂) : map f l₁ ⊆ map f l₂ := fun x => by simp only [mem_map]; exact .imp fun a => .imp_left (@H _) @[simp] theorem nil_sublist : ∀ l : List α, [] <+ l | [] => .slnil | a :: l => (nil_sublist l).cons a @[simp] theorem Sublist.refl : ∀ l : List α, l <+ l | [] => .slnil | a :: l => (Sublist.refl l).cons₂ a theorem Sublist.trans {l₁ l₂ l₃ : List α} (h₁ : l₁ <+ l₂) (h₂ : l₂ <+ l₃) : l₁ <+ l₃ := by induction h₂ generalizing l₁ with | slnil => exact h₁ | cons _ _ IH => exact (IH h₁).cons _ | @cons₂ l₂ _ a _ IH => generalize e : a :: l₂ = l₂' match e ▸ h₁ with | .slnil => apply nil_sublist | .cons a' h₁' => cases e; apply (IH h₁').cons | .cons₂ a' h₁' => cases e; apply (IH h₁').cons₂ instance : Trans (@Sublist α) Sublist Sublist := ⟨Sublist.trans⟩ @[simp] theorem sublist_cons (a : α) (l : List α) : l <+ a :: l := (Sublist.refl l).cons _ theorem sublist_of_cons_sublist : a :: l₁ <+ l₂ → l₁ <+ l₂ := (sublist_cons a l₁).trans @[simp] theorem sublist_append_left : ∀ l₁ l₂ : List α, l₁ <+ l₁ ++ l₂ | [], _ => nil_sublist _ | _ :: l₁, l₂ => (sublist_append_left l₁ l₂).cons₂ _ @[simp] theorem sublist_append_right : ∀ l₁ l₂ : List α, l₂ <+ l₁ ++ l₂ | [], _ => Sublist.refl _ | _ :: l₁, l₂ => (sublist_append_right l₁ l₂).cons _ theorem sublist_append_of_sublist_left (s : l <+ l₁) : l <+ l₁ ++ l₂ := s.trans <| sublist_append_left .. theorem sublist_append_of_sublist_right (s : l <+ l₂) : l <+ l₁ ++ l₂ := s.trans <| sublist_append_right .. @[simp] theorem cons_sublist_cons : a :: l₁ <+ a :: l₂ ↔ l₁ <+ l₂ := ⟨fun | .cons _ s => sublist_of_cons_sublist s | .cons₂ _ s => s, .cons₂ _⟩ @[simp] theorem append_sublist_append_left : ∀ l, l ++ l₁ <+ l ++ l₂ ↔ l₁ <+ l₂ | [] => Iff.rfl | _ :: l => cons_sublist_cons.trans (append_sublist_append_left l) theorem Sublist.append_left : l₁ <+ l₂ → ∀ l, l ++ l₁ <+ l ++ l₂ := fun h l => (append_sublist_append_left l).mpr h theorem Sublist.append_right : l₁ <+ l₂ → ∀ l, l₁ ++ l <+ l₂ ++ l | .slnil, _ => Sublist.refl _ | .cons _ h, _ => (h.append_right _).cons _ | .cons₂ _ h, _ => (h.append_right _).cons₂ _ theorem sublist_or_mem_of_sublist (h : l <+ l₁ ++ a :: l₂) : l <+ l₁ ++ l₂ ∨ a ∈ l := by induction l₁ generalizing l with | nil => match h with | .cons _ h => exact .inl h | .cons₂ _ h => exact .inr (.head ..) | cons b l₁ IH => match h with | .cons _ h => exact (IH h).imp_left (Sublist.cons _) | .cons₂ _ h => exact (IH h).imp (Sublist.cons₂ _) (.tail _) theorem Sublist.reverse : l₁ <+ l₂ → l₁.reverse <+ l₂.reverse | .slnil => Sublist.refl _ | .cons _ h => by rw [reverse_cons]; exact sublist_append_of_sublist_left h.reverse | .cons₂ _ h => by rw [reverse_cons, reverse_cons]; exact h.reverse.append_right _ @[simp] theorem reverse_sublist : l₁.reverse <+ l₂.reverse ↔ l₁ <+ l₂ := ⟨fun h => l₁.reverse_reverse ▸ l₂.reverse_reverse ▸ h.reverse, Sublist.reverse⟩ @[simp] theorem append_sublist_append_right (l) : l₁ ++ l <+ l₂ ++ l ↔ l₁ <+ l₂ := ⟨fun h => by have := h.reverse simp only [reverse_append, append_sublist_append_left, reverse_sublist] at this exact this, fun h => h.append_right l⟩ theorem Sublist.append (hl : l₁ <+ l₂) (hr : r₁ <+ r₂) : l₁ ++ r₁ <+ l₂ ++ r₂ := (hl.append_right _).trans ((append_sublist_append_left _).2 hr) theorem Sublist.subset : l₁ <+ l₂ → l₁ ⊆ l₂ | .slnil, _, h => h | .cons _ s, _, h => .tail _ (s.subset h) | .cons₂ .., _, .head .. => .head .. | .cons₂ _ s, _, .tail _ h => .tail _ (s.subset h) instance : Trans (@Sublist α) Subset Subset := ⟨fun h₁ h₂ => trans h₁.subset h₂⟩ instance : Trans Subset (@Sublist α) Subset := ⟨fun h₁ h₂ => trans h₁ h₂.subset⟩ instance : Trans (Membership.mem : α → List α → Prop) Sublist Membership.mem := ⟨fun h₁ h₂ => h₂.subset h₁⟩ theorem Sublist.length_le : l₁ <+ l₂ → length l₁ ≤ length l₂ | .slnil => Nat.le_refl 0 | .cons _l s => le_succ_of_le (length_le s) | .cons₂ _ s => succ_le_succ (length_le s) @[simp] theorem sublist_nil {l : List α} : l <+ [] ↔ l = [] := ⟨fun s => subset_nil.1 s.subset, fun H => H ▸ Sublist.refl _⟩ theorem Sublist.eq_of_length : l₁ <+ l₂ → length l₁ = length l₂ → l₁ = l₂ | .slnil, _ => rfl | .cons a s, h => nomatch Nat.not_lt.2 s.length_le (h ▸ lt_succ_self _) | .cons₂ a s, h => by rw [s.eq_of_length (succ.inj h)] theorem Sublist.eq_of_length_le (s : l₁ <+ l₂) (h : length l₂ ≤ length l₁) : l₁ = l₂ := s.eq_of_length <| Nat.le_antisymm s.length_le h @[simp] theorem singleton_sublist {a : α} {l} : [a] <+ l ↔ a ∈ l := by refine ⟨fun h => h.subset (mem_singleton_self _), fun h => ?_⟩ obtain ⟨_, _, rfl⟩ := append_of_mem h exact ((nil_sublist _).cons₂ _).trans (sublist_append_right ..) @[simp] theorem replicate_sublist_replicate {m n} (a : α) : replicate m a <+ replicate n a ↔ m ≤ n := by refine ⟨fun h => ?_, fun h => ?_⟩ · have := h.length_le; simp only [length_replicate] at this ⊢; exact this · induction h with | refl => apply Sublist.refl | step => simp [*, replicate, Sublist.cons] theorem isSublist_iff_sublist [BEq α] [LawfulBEq α] {l₁ l₂ : List α} : l₁.isSublist l₂ ↔ l₁ <+ l₂ := by cases l₁ <;> cases l₂ <;> simp [isSublist] case cons.cons hd₁ tl₁ hd₂ tl₂ => if h_eq : hd₁ = hd₂ then simp [h_eq, cons_sublist_cons, isSublist_iff_sublist] else simp only [beq_iff_eq, h_eq] constructor · intro h_sub apply Sublist.cons exact isSublist_iff_sublist.mp h_sub · intro h_sub cases h_sub case cons h_sub => exact isSublist_iff_sublist.mpr h_sub case cons₂ => contradiction instance [DecidableEq α] (l₁ l₂ : List α) : Decidable (l₁ <+ l₂) := decidable_of_iff (l₁.isSublist l₂) isSublist_iff_sublist theorem tail_eq_tailD (l) : @tail α l = tailD l [] := by cases l <;> rfl theorem tail_eq_tail? (l) : @tail α l = (tail? l).getD [] := by simp [tail_eq_tailD] @[simp] theorem next?_nil : @next? α [] = none := rfl @[simp] theorem next?_cons (a l) : @next? α (a :: l) = some (a, l) := rfl theorem get_eq_iff : List.get l n = x ↔ l.get? n.1 = some x := by simp [get?_eq_some] theorem get?_inj (h₀ : i < xs.length) (h₁ : Nodup xs) (h₂ : xs.get? i = xs.get? j) : i = j := by induction xs generalizing i j with | nil => cases h₀ | cons x xs ih => match i, j with | 0, 0 => rfl | i+1, j+1 => simp; cases h₁ with | cons ha h₁ => exact ih (Nat.lt_of_succ_lt_succ h₀) h₁ h₂ | i+1, 0 => ?_ | 0, j+1 => ?_ all_goals simp at h₂ cases h₁; rename_i h' h have := h x ?_ rfl; cases this rw [mem_iff_get?] exact ⟨_, h₂⟩; exact ⟨_ , h₂.symm⟩ theorem tail_drop (l : List α) (n : Nat) : (l.drop n).tail = l.drop (n + 1) := by induction l generalizing n with | nil => simp | cons hd tl hl => cases n · simp · simp [hl] @[simp] theorem modifyNth_nil (f : α → α) (n) : [].modifyNth f n = [] := by cases n <;> rfl @[simp] theorem modifyNth_zero_cons (f : α → α) (a : α) (l : List α) : (a :: l).modifyNth f 0 = f a :: l := rfl @[simp] theorem modifyNth_succ_cons (f : α → α) (a : α) (l : List α) (n) : (a :: l).modifyNth f (n + 1) = a :: l.modifyNth f n := by rfl theorem modifyNthTail_id : ∀ n (l : List α), l.modifyNthTail id n = l | 0, _ => rfl | _+1, [] => rfl | n+1, a :: l => congrArg (cons a) (modifyNthTail_id n l) theorem eraseIdx_eq_modifyNthTail : ∀ n (l : List α), eraseIdx l n = modifyNthTail tail n l | 0, l => by cases l <;> rfl | n+1, [] => rfl | n+1, a :: l => congrArg (cons _) (eraseIdx_eq_modifyNthTail _ _) @[deprecated] alias removeNth_eq_nth_tail := eraseIdx_eq_modifyNthTail theorem get?_modifyNth (f : α → α) : ∀ n (l : List α) m, (modifyNth f n l).get? m = (fun a => if n = m then f a else a) <$> l.get? m | n, l, 0 => by cases l <;> cases n <;> rfl | n, [], _+1 => by cases n <;> rfl | 0, _ :: l, m+1 => by cases h : l.get? m <;> simp [h, modifyNth, m.succ_ne_zero.symm] | n+1, a :: l, m+1 => (get?_modifyNth f n l m).trans <| by cases h' : l.get? m <;> by_cases h : n = m <;> simp [h, if_pos, if_neg, Option.map, mt Nat.succ.inj, not_false_iff, h'] theorem modifyNthTail_length (f : List α → List α) (H : ∀ l, length (f l) = length l) : ∀ n l, length (modifyNthTail f n l) = length l | 0, _ => H _ | _+1, [] => rfl | _+1, _ :: _ => congrArg (·+1) (modifyNthTail_length _ H _ _) theorem modifyNthTail_add (f : List α → List α) (n) (l₁ l₂ : List α) : modifyNthTail f (l₁.length + n) (l₁ ++ l₂) = l₁ ++ modifyNthTail f n l₂ := by induction l₁ <;> simp [*, Nat.succ_add] theorem exists_of_modifyNthTail (f : List α → List α) {n} {l : List α} (h : n ≤ l.length) : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n ∧ modifyNthTail f n l = l₁ ++ f l₂ := have ⟨_, _, eq, hl⟩ : ∃ l₁ l₂, l = l₁ ++ l₂ ∧ l₁.length = n := ⟨_, _, (take_append_drop n l).symm, length_take_of_le h⟩ ⟨_, _, eq, hl, hl ▸ eq ▸ modifyNthTail_add (n := 0) ..⟩ @[simp] theorem modify_get?_length (f : α → α) : ∀ n l, length (modifyNth f n l) = length l := modifyNthTail_length _ fun l => by cases l <;> rfl @[simp] theorem get?_modifyNth_eq (f : α → α) (n) (l : List α) : (modifyNth f n l).get? n = f <$> l.get? n := by simp only [get?_modifyNth, if_pos] @[simp] theorem get?_modifyNth_ne (f : α → α) {m n} (l : List α) (h : m ≠ n) : (modifyNth f m l).get? n = l.get? n := by simp only [get?_modifyNth, if_neg h, id_map'] theorem exists_of_modifyNth (f : α → α) {n} {l : List α} (h : n < l.length) : ∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ modifyNth f n l = l₁ ++ f a :: l₂ := match exists_of_modifyNthTail _ (Nat.le_of_lt h) with | ⟨_, _::_, eq, hl, H⟩ => ⟨_, _, _, eq, hl, H⟩ | ⟨_, [], eq, hl, _⟩ => nomatch Nat.ne_of_gt h (eq ▸ append_nil _ ▸ hl) theorem modifyNthTail_eq_take_drop (f : List α → List α) (H : f [] = []) : ∀ n l, modifyNthTail f n l = take n l ++ f (drop n l) | 0, _ => rfl | _ + 1, [] => H.symm | n + 1, b :: l => congrArg (cons b) (modifyNthTail_eq_take_drop f H n l) theorem modifyNth_eq_take_drop (f : α → α) : ∀ n l, modifyNth f n l = take n l ++ modifyHead f (drop n l) := modifyNthTail_eq_take_drop _ rfl theorem modifyNth_eq_take_cons_drop (f : α → α) {n l} (h) : modifyNth f n l = take n l ++ f (get l ⟨n, h⟩) :: drop (n + 1) l := by rw [modifyNth_eq_take_drop, drop_eq_get_cons h]; rfl theorem set_eq_modifyNth (a : α) : ∀ n (l : List α), set l n a = modifyNth (fun _ => a) n l | 0, l => by cases l <;> rfl | n+1, [] => rfl | n+1, b :: l => congrArg (cons _) (set_eq_modifyNth _ _ _) theorem set_eq_take_cons_drop (a : α) {n l} (h : n < length l) : set l n a = take n l ++ a :: drop (n + 1) l := by rw [set_eq_modifyNth, modifyNth_eq_take_cons_drop _ h] theorem modifyNth_eq_set_get? (f : α → α) : ∀ n (l : List α), l.modifyNth f n = ((fun a => l.set n (f a)) <$> l.get? n).getD l | 0, l => by cases l <;> rfl | n+1, [] => rfl | n+1, b :: l => (congrArg (cons _) (modifyNth_eq_set_get? ..)).trans <| by cases h : l.get? n <;> simp [h] theorem modifyNth_eq_set_get (f : α → α) {n} {l : List α} (h) : l.modifyNth f n = l.set n (f (l.get ⟨n, h⟩)) := by rw [modifyNth_eq_set_get?, get?_eq_get h]; rfl theorem exists_of_set {l : List α} (h : n < l.length) : ∃ l₁ a l₂, l = l₁ ++ a :: l₂ ∧ l₁.length = n ∧ l.set n a' = l₁ ++ a' :: l₂ := by rw [set_eq_modifyNth]; exact exists_of_modifyNth _ h theorem exists_of_set' {l : List α} (h : n < l.length) : ∃ l₁ l₂, l = l₁ ++ l.get ⟨n, h⟩ :: l₂ ∧ l₁.length = n ∧ l.set n a' = l₁ ++ a' :: l₂ := have ⟨_, _, _, h₁, h₂, h₃⟩ := exists_of_set h; ⟨_, _, get_of_append h₁ h₂ ▸ h₁, h₂, h₃⟩ @[simp] theorem get?_set_eq (a : α) (n) (l : List α) : (set l n a).get? n = (fun _ => a) <$> l.get? n := by simp only [set_eq_modifyNth, get?_modifyNth_eq] theorem get?_set_eq_of_lt (a : α) {n} {l : List α} (h : n < length l) : (set l n a).get? n = some a := by rw [get?_set_eq, get?_eq_get h]; rfl @[simp] theorem get?_set_ne (a : α) {m n} (l : List α) (h : m ≠ n) : (set l m a).get? n = l.get? n := by simp only [set_eq_modifyNth, get?_modifyNth_ne _ _ h] theorem get?_set (a : α) {m n} (l : List α) : (set l m a).get? n = if m = n then (fun _ => a) <$> l.get? n else l.get? n := by by_cases m = n <;> simp [*, get?_set_eq, get?_set_ne] theorem get?_set_of_lt (a : α) {m n} (l : List α) (h : n < length l) : (set l m a).get? n = if m = n then some a else l.get? n := by simp [get?_set, get?_eq_get h] theorem get?_set_of_lt' (a : α) {m n} (l : List α) (h : m < length l) : (set l m a).get? n = if m = n then some a else l.get? n := by simp [get?_set]; split <;> subst_vars <;> simp [*, get?_eq_get h] theorem drop_set_of_lt (a : α) {n m : Nat} (l : List α) (h : n < m) : (l.set n a).drop m = l.drop m := List.ext fun i => by rw [get?_drop, get?_drop, get?_set_ne _ _ (by omega)] theorem take_set_of_lt (a : α) {n m : Nat} (l : List α) (h : m < n) : (l.set n a).take m = l.take m := List.ext fun i => by rw [get?_take_eq_if, get?_take_eq_if] split · next h' => rw [get?_set_ne _ _ (by omega)] · rfl theorem length_eraseIdx : ∀ {l i}, i < length l → length (@eraseIdx α l i) = length l - 1 | [], _, _ => rfl | _::_, 0, _ => by simp [eraseIdx] | x::xs, i+1, h => by have : i < length xs := Nat.lt_of_succ_lt_succ h simp [eraseIdx, ← Nat.add_one] rw [length_eraseIdx this, Nat.sub_add_cancel (Nat.lt_of_le_of_lt (Nat.zero_le _) this)] @[deprecated] alias length_removeNth := length_eraseIdx @[simp] theorem length_tail (l : List α) : length (tail l) = length l - 1 := by cases l <;> rfl @[simp] theorem eraseP_nil : [].eraseP p = [] := rfl theorem eraseP_cons (a : α) (l : List α) : (a :: l).eraseP p = bif p a then l else a :: l.eraseP p := rfl @[simp] theorem eraseP_cons_of_pos {l : List α} (p) (h : p a) : (a :: l).eraseP p = l := by simp [eraseP_cons, h] @[simp] theorem eraseP_cons_of_neg {l : List α} (p) (h : ¬p a) : (a :: l).eraseP p = a :: l.eraseP p := by simp [eraseP_cons, h] theorem eraseP_of_forall_not {l : List α} (h : ∀ a, a ∈ l → ¬p a) : l.eraseP p = l := by induction l with | nil => rfl | cons _ _ ih => simp [h _ (.head ..), ih (forall_mem_cons.1 h).2] theorem exists_of_eraseP : ∀ {l : List α} {a} (al : a ∈ l) (pa : p a), ∃ a l₁ l₂, (∀ b ∈ l₁, ¬p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.eraseP p = l₁ ++ l₂ | b :: l, a, al, pa => if pb : p b then ⟨b, [], l, forall_mem_nil _, pb, by simp [pb]⟩ else match al with | .head .. => nomatch pb pa | .tail _ al => let ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩ := exists_of_eraseP al pa ⟨c, b::l₁, l₂, (forall_mem_cons ..).2 ⟨pb, h₁⟩, h₂, by rw [h₃, cons_append], by simp [pb, h₄]⟩ theorem exists_or_eq_self_of_eraseP (p) (l : List α) : l.eraseP p = l ∨ ∃ a l₁ l₂, (∀ b ∈ l₁, ¬p b) ∧ p a ∧ l = l₁ ++ a :: l₂ ∧ l.eraseP p = l₁ ++ l₂ := if h : ∃ a ∈ l, p a then let ⟨_, ha, pa⟩ := h .inr (exists_of_eraseP ha pa) else .inl (eraseP_of_forall_not (h ⟨·, ·, ·⟩)) @[simp] theorem length_eraseP_of_mem (al : a ∈ l) (pa : p a) : length (l.eraseP p) = Nat.pred (length l) := by let ⟨_, l₁, l₂, _, _, e₁, e₂⟩ := exists_of_eraseP al pa rw [e₂]; simp [length_append, e₁]; rfl theorem eraseP_append_left {a : α} (pa : p a) : ∀ {l₁ : List α} l₂, a ∈ l₁ → (l₁++l₂).eraseP p = l₁.eraseP p ++ l₂ | x :: xs, l₂, h => by by_cases h' : p x <;> simp [h'] rw [eraseP_append_left pa l₂ ((mem_cons.1 h).resolve_left (mt _ h'))] intro | rfl => exact pa theorem eraseP_append_right : ∀ {l₁ : List α} l₂, (∀ b ∈ l₁, ¬p b) → eraseP p (l₁++l₂) = l₁ ++ l₂.eraseP p | [], l₂, _ => rfl | x :: xs, l₂, h => by simp [(forall_mem_cons.1 h).1, eraseP_append_right _ (forall_mem_cons.1 h).2] theorem eraseP_sublist (l : List α) : l.eraseP p <+ l := by match exists_or_eq_self_of_eraseP p l with | .inl h => rw [h]; apply Sublist.refl | .inr ⟨c, l₁, l₂, _, _, h₃, h₄⟩ => rw [h₄, h₃]; simp theorem eraseP_subset (l : List α) : l.eraseP p ⊆ l := (eraseP_sublist l).subset protected theorem Sublist.eraseP : l₁ <+ l₂ → l₁.eraseP p <+ l₂.eraseP p | .slnil => Sublist.refl _ | .cons a s => by by_cases h : p a <;> simp [h] exacts [s.eraseP.trans (eraseP_sublist _), s.eraseP.cons _] | .cons₂ a s => by by_cases h : p a <;> simp [h] exacts [s, s.eraseP] theorem mem_of_mem_eraseP {l : List α} : a ∈ l.eraseP p → a ∈ l := (eraseP_subset _ ·) @[simp] theorem mem_eraseP_of_neg {l : List α} (pa : ¬p a) : a ∈ l.eraseP p ↔ a ∈ l := by refine ⟨mem_of_mem_eraseP, fun al => ?_⟩ match exists_or_eq_self_of_eraseP p l with | .inl h => rw [h]; assumption | .inr ⟨c, l₁, l₂, h₁, h₂, h₃, h₄⟩ => rw [h₄]; rw [h₃] at al have : a ≠ c := fun h => (h ▸ pa).elim h₂ simp [this] at al; simp [al] theorem eraseP_map (f : β → α) : ∀ (l : List β), (map f l).eraseP p = map f (l.eraseP (p ∘ f)) | [] => rfl | b::l => by by_cases h : p (f b) <;> simp [h, eraseP_map f l, eraseP_cons_of_pos] @[simp] theorem extractP_eq_find?_eraseP (l : List α) : extractP p l = (find? p l, eraseP p l) := by let rec go (acc) : ∀ xs, l = acc.data ++ xs → extractP.go p l xs acc = (xs.find? p, acc.data ++ xs.eraseP p) | [] => fun h => by simp [extractP.go, find?, eraseP, h] | x::xs => by simp [extractP.go, find?, eraseP]; cases p x <;> simp · intro h; rw [go _ xs]; {simp}; simp [h] exact go #[] _ rfl @[simp] theorem filter_sublist {p : α → Bool} : ∀ (l : List α), filter p l <+ l | [] => .slnil | a :: l => by rw [filter]; split <;> simp [Sublist.cons, Sublist.cons₂, filter_sublist l] theorem length_filter_le (p : α → Bool) (l : List α) : (l.filter p).length ≤ l.length := (filter_sublist _).length_le theorem length_filterMap_le (f : α → Option β) (l : List α) : (filterMap f l).length ≤ l.length := by rw [← length_map _ some, map_filterMap_some_eq_filter_map_is_some, ← length_map _ f] apply length_filter_le protected theorem Sublist.filterMap (f : α → Option β) (s : l₁ <+ l₂) : filterMap f l₁ <+ filterMap f l₂ := by induction s <;> simp <;> split <;> simp [*, cons, cons₂] theorem Sublist.filter (p : α → Bool) {l₁ l₂} (s : l₁ <+ l₂) : filter p l₁ <+ filter p l₂ := by rw [← filterMap_eq_filter]; apply s.filterMap @[simp] theorem filter_eq_self {l} : filter p l = l ↔ ∀ a ∈ l, p a := by induction l with simp | cons a l ih => cases h : p a <;> simp [*] intro h; exact Nat.lt_irrefl _ (h ▸ length_filter_le p l) @[simp] theorem filter_length_eq_length {l} : (filter p l).length = l.length ↔ ∀ a ∈ l, p a := Iff.trans ⟨l.filter_sublist.eq_of_length, congrArg length⟩ filter_eq_self @[simp] theorem findIdx_nil {α : Type _} (p : α → Bool) : [].findIdx p = 0 := rfl theorem findIdx_cons (p : α → Bool) (b : α) (l : List α) : (b :: l).findIdx p = bif p b then 0 else (l.findIdx p) + 1 := by cases H : p b with | true => simp [H, findIdx, findIdx.go] | false => simp [H, findIdx, findIdx.go, findIdx_go_succ] where findIdx_go_succ (p : α → Bool) (l : List α) (n : Nat) : List.findIdx.go p l (n + 1) = (findIdx.go p l n) + 1 := by cases l with | nil => unfold findIdx.go; exact Nat.succ_eq_add_one n | cons head tail => unfold findIdx.go cases p head <;> simp only [cond_false, cond_true] exact findIdx_go_succ p tail (n + 1) theorem findIdx_of_get?_eq_some {xs : List α} (w : xs.get? (xs.findIdx p) = some y) : p y := by induction xs with | nil => simp_all | cons x xs ih => by_cases h : p x <;> simp_all [findIdx_cons] theorem findIdx_get {xs : List α} {w : xs.findIdx p < xs.length} : p (xs.get ⟨xs.findIdx p, w⟩) := xs.findIdx_of_get?_eq_some (get?_eq_get w) theorem findIdx_lt_length_of_exists {xs : List α} (h : ∃ x ∈ xs, p x) : xs.findIdx p < xs.length := by induction xs with | nil => simp_all | cons x xs ih => by_cases p x · simp_all only [forall_exists_index, and_imp, mem_cons, exists_eq_or_imp, true_or, findIdx_cons, cond_true, length_cons] apply Nat.succ_pos · simp_all [findIdx_cons] refine Nat.succ_lt_succ ?_ obtain ⟨x', m', h'⟩ := h exact ih x' m' h' theorem findIdx_get?_eq_get_of_exists {xs : List α} (h : ∃ x ∈ xs, p x) : xs.get? (xs.findIdx p) = some (xs.get ⟨xs.findIdx p, xs.findIdx_lt_length_of_exists h⟩) := get?_eq_get (findIdx_lt_length_of_exists h) @[simp] theorem findIdx?_nil : ([] : List α).findIdx? p i = none := rfl @[simp] theorem findIdx?_cons : (x :: xs).findIdx? p i = if p x then some i else findIdx? p xs (i + 1) := rfl @[simp] theorem findIdx?_succ : (xs : List α).findIdx? p (i+1) = (xs.findIdx? p i).map fun i => i + 1 := by induction xs generalizing i with simp | cons _ _ _ => split <;> simp_all theorem findIdx?_eq_some_iff (xs : List α) (p : α → Bool) : xs.findIdx? p = some i ↔ (xs.take (i + 1)).map p = replicate i false ++ [true] := by induction xs generalizing i with | nil => simp | cons x xs ih => simp only [findIdx?_cons, Nat.zero_add, findIdx?_succ, take_succ_cons, map_cons] split <;> cases i <;> simp_all theorem findIdx?_of_eq_some {xs : List α} {p : α → Bool} (w : xs.findIdx? p = some i) : match xs.get? i with | some a => p a | none => false := by induction xs generalizing i with | nil => simp_all | cons x xs ih => simp_all only [findIdx?_cons, Nat.zero_add, findIdx?_succ] split at w <;> cases i <;> simp_all
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theorem findIdx?_of_eq_none {xs : List α} {p : α → Bool} (w : xs.findIdx? p = none) : ∀ i, match xs.get? i with | some a => ¬ p a | none => true := by
intro i induction xs generalizing i with | nil => simp_all | cons x xs ih => simp_all only [Bool.not_eq_true, findIdx?_cons, Nat.zero_add, findIdx?_succ] cases i with | zero => split at w <;> simp_all | succ i => simp only [get?_cons_succ] apply ih split at w <;> simp_all
import Mathlib.Data.Part import Mathlib.Data.Rel #align_import data.pfun from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432" open Function def PFun (α β : Type*) := α → Part β #align pfun PFun infixr:25 " →. " => PFun namespace PFun variable {α β γ δ ε ι : Type*} instance inhabited : Inhabited (α →. β) := ⟨fun _ => Part.none⟩ #align pfun.inhabited PFun.inhabited def Dom (f : α →. β) : Set α := { a | (f a).Dom } #align pfun.dom PFun.Dom @[simp] theorem mem_dom (f : α →. β) (x : α) : x ∈ Dom f ↔ ∃ y, y ∈ f x := by simp [Dom, Part.dom_iff_mem] #align pfun.mem_dom PFun.mem_dom @[simp] theorem dom_mk (p : α → Prop) (f : ∀ a, p a → β) : (PFun.Dom fun x => ⟨p x, f x⟩) = { x | p x } := rfl #align pfun.dom_mk PFun.dom_mk theorem dom_eq (f : α →. β) : Dom f = { x | ∃ y, y ∈ f x } := Set.ext (mem_dom f) #align pfun.dom_eq PFun.dom_eq def fn (f : α →. β) (a : α) : Dom f a → β := (f a).get #align pfun.fn PFun.fn @[simp] theorem fn_apply (f : α →. β) (a : α) : f.fn a = (f a).get := rfl #align pfun.fn_apply PFun.fn_apply def evalOpt (f : α →. β) [D : DecidablePred (· ∈ Dom f)] (x : α) : Option β := @Part.toOption _ _ (D x) #align pfun.eval_opt PFun.evalOpt theorem ext' {f g : α →. β} (H1 : ∀ a, a ∈ Dom f ↔ a ∈ Dom g) (H2 : ∀ a p q, f.fn a p = g.fn a q) : f = g := funext fun a => Part.ext' (H1 a) (H2 a) #align pfun.ext' PFun.ext' theorem ext {f g : α →. β} (H : ∀ a b, b ∈ f a ↔ b ∈ g a) : f = g := funext fun a => Part.ext (H a) #align pfun.ext PFun.ext def asSubtype (f : α →. β) (s : f.Dom) : β := f.fn s s.2 #align pfun.as_subtype PFun.asSubtype def equivSubtype : (α →. β) ≃ Σp : α → Prop, Subtype p → β := ⟨fun f => ⟨fun a => (f a).Dom, asSubtype f⟩, fun f x => ⟨f.1 x, fun h => f.2 ⟨x, h⟩⟩, fun f => funext fun a => Part.eta _, fun ⟨p, f⟩ => by dsimp; congr⟩ #align pfun.equiv_subtype PFun.equivSubtype theorem asSubtype_eq_of_mem {f : α →. β} {x : α} {y : β} (fxy : y ∈ f x) (domx : x ∈ f.Dom) : f.asSubtype ⟨x, domx⟩ = y := Part.mem_unique (Part.get_mem _) fxy #align pfun.as_subtype_eq_of_mem PFun.asSubtype_eq_of_mem @[coe] protected def lift (f : α → β) : α →. β := fun a => Part.some (f a) #align pfun.lift PFun.lift instance coe : Coe (α → β) (α →. β) := ⟨PFun.lift⟩ #align pfun.has_coe PFun.coe @[simp] theorem coe_val (f : α → β) (a : α) : (f : α →. β) a = Part.some (f a) := rfl #align pfun.coe_val PFun.coe_val @[simp] theorem dom_coe (f : α → β) : (f : α →. β).Dom = Set.univ := rfl #align pfun.dom_coe PFun.dom_coe theorem lift_injective : Injective (PFun.lift : (α → β) → α →. β) := fun _ _ h => funext fun a => Part.some_injective <| congr_fun h a #align pfun.coe_injective PFun.lift_injective def graph (f : α →. β) : Set (α × β) := { p | p.2 ∈ f p.1 } #align pfun.graph PFun.graph def graph' (f : α →. β) : Rel α β := fun x y => y ∈ f x #align pfun.graph' PFun.graph' def ran (f : α →. β) : Set β := { b | ∃ a, b ∈ f a } #align pfun.ran PFun.ran def restrict (f : α →. β) {p : Set α} (H : p ⊆ f.Dom) : α →. β := fun x => (f x).restrict (x ∈ p) (@H x) #align pfun.restrict PFun.restrict @[simp]
Mathlib/Data/PFun.lean
180
181
theorem mem_restrict {f : α →. β} {s : Set α} (h : s ⊆ f.Dom) (a : α) (b : β) : b ∈ f.restrict h a ↔ a ∈ s ∧ b ∈ f a := by
simp [restrict]
import Mathlib.Analysis.SpecialFunctions.ImproperIntegrals import Mathlib.Analysis.Calculus.ParametricIntegral import Mathlib.MeasureTheory.Measure.Haar.NormedSpace #align_import analysis.mellin_transform from "leanprover-community/mathlib"@"917c3c072e487b3cccdbfeff17e75b40e45f66cb" open MeasureTheory Set Filter Asymptotics TopologicalSpace open Real open Complex hiding exp log abs_of_nonneg open scoped Topology noncomputable section section Defs variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] def MellinConvergent (f : ℝ → E) (s : ℂ) : Prop := IntegrableOn (fun t : ℝ => (t : ℂ) ^ (s - 1) • f t) (Ioi 0) #align mellin_convergent MellinConvergent theorem MellinConvergent.const_smul {f : ℝ → E} {s : ℂ} (hf : MellinConvergent f s) {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E] [SMulCommClass ℂ 𝕜 E] (c : 𝕜) : MellinConvergent (fun t => c • f t) s := by simpa only [MellinConvergent, smul_comm] using hf.smul c #align mellin_convergent.const_smul MellinConvergent.const_smul theorem MellinConvergent.cpow_smul {f : ℝ → E} {s a : ℂ} : MellinConvergent (fun t => (t : ℂ) ^ a • f t) s ↔ MellinConvergent f (s + a) := by refine integrableOn_congr_fun (fun t ht => ?_) measurableSet_Ioi simp_rw [← sub_add_eq_add_sub, cpow_add _ _ (ofReal_ne_zero.2 <| ne_of_gt ht), mul_smul] #align mellin_convergent.cpow_smul MellinConvergent.cpow_smul nonrec theorem MellinConvergent.div_const {f : ℝ → ℂ} {s : ℂ} (hf : MellinConvergent f s) (a : ℂ) : MellinConvergent (fun t => f t / a) s := by simpa only [MellinConvergent, smul_eq_mul, ← mul_div_assoc] using hf.div_const a #align mellin_convergent.div_const MellinConvergent.div_const theorem MellinConvergent.comp_mul_left {f : ℝ → E} {s : ℂ} {a : ℝ} (ha : 0 < a) : MellinConvergent (fun t => f (a * t)) s ↔ MellinConvergent f s := by have := integrableOn_Ioi_comp_mul_left_iff (fun t : ℝ => (t : ℂ) ^ (s - 1) • f t) 0 ha rw [mul_zero] at this have h1 : EqOn (fun t : ℝ => (↑(a * t) : ℂ) ^ (s - 1) • f (a * t)) ((a : ℂ) ^ (s - 1) • fun t : ℝ => (t : ℂ) ^ (s - 1) • f (a * t)) (Ioi 0) := fun t ht ↦ by simp only [ofReal_mul, mul_cpow_ofReal_nonneg ha.le (le_of_lt ht), mul_smul, Pi.smul_apply] have h2 : (a : ℂ) ^ (s - 1) ≠ 0 := by rw [Ne, cpow_eq_zero_iff, not_and_or, ofReal_eq_zero] exact Or.inl ha.ne' rw [MellinConvergent, MellinConvergent, ← this, integrableOn_congr_fun h1 measurableSet_Ioi, IntegrableOn, IntegrableOn, integrable_smul_iff h2] #align mellin_convergent.comp_mul_left MellinConvergent.comp_mul_left theorem MellinConvergent.comp_rpow {f : ℝ → E} {s : ℂ} {a : ℝ} (ha : a ≠ 0) : MellinConvergent (fun t => f (t ^ a)) s ↔ MellinConvergent f (s / a) := by refine Iff.trans ?_ (integrableOn_Ioi_comp_rpow_iff' _ ha) rw [MellinConvergent] refine integrableOn_congr_fun (fun t ht => ?_) measurableSet_Ioi dsimp only [Pi.smul_apply] rw [← Complex.coe_smul (t ^ (a - 1)), ← mul_smul, ← cpow_mul_ofReal_nonneg (le_of_lt ht), ofReal_cpow (le_of_lt ht), ← cpow_add _ _ (ofReal_ne_zero.mpr (ne_of_gt ht)), ofReal_sub, ofReal_one, mul_sub, mul_div_cancel₀ _ (ofReal_ne_zero.mpr ha), mul_one, add_comm, ← add_sub_assoc, sub_add_cancel] #align mellin_convergent.comp_rpow MellinConvergent.comp_rpow def Complex.VerticalIntegrable (f : ℂ → E) (σ : ℝ) (μ : Measure ℝ := by volume_tac) : Prop := Integrable (fun (y : ℝ) ↦ f (σ + y * I)) μ def mellin (f : ℝ → E) (s : ℂ) : E := ∫ t : ℝ in Ioi 0, (t : ℂ) ^ (s - 1) • f t #align mellin mellin def mellinInv (σ : ℝ) (f : ℂ → E) (x : ℝ) : E := (1 / (2 * π)) • ∫ y : ℝ, (x : ℂ) ^ (-(σ + y * I)) • f (σ + y * I) -- next few lemmas don't require convergence of the Mellin transform (they are just 0 = 0 otherwise) theorem mellin_cpow_smul (f : ℝ → E) (s a : ℂ) : mellin (fun t => (t : ℂ) ^ a • f t) s = mellin f (s + a) := by refine setIntegral_congr measurableSet_Ioi fun t ht => ?_ simp_rw [← sub_add_eq_add_sub, cpow_add _ _ (ofReal_ne_zero.2 <| ne_of_gt ht), mul_smul] #align mellin_cpow_smul mellin_cpow_smul theorem mellin_const_smul (f : ℝ → E) (s : ℂ) {𝕜 : Type*} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E] [SMulCommClass ℂ 𝕜 E] (c : 𝕜) : mellin (fun t => c • f t) s = c • mellin f s := by simp only [mellin, smul_comm, integral_smul] #align mellin_const_smul mellin_const_smul theorem mellin_div_const (f : ℝ → ℂ) (s a : ℂ) : mellin (fun t => f t / a) s = mellin f s / a := by simp_rw [mellin, smul_eq_mul, ← mul_div_assoc, integral_div] #align mellin_div_const mellin_div_const theorem mellin_comp_rpow (f : ℝ → E) (s : ℂ) (a : ℝ) : mellin (fun t => f (t ^ a)) s = |a|⁻¹ • mellin f (s / a) := by rcases eq_or_ne a 0 with rfl|ha · by_cases hE : CompleteSpace E · simp [integral_smul_const, mellin, setIntegral_Ioi_zero_cpow] · simp [integral, mellin, hE] simp_rw [mellin] conv_rhs => rw [← integral_comp_rpow_Ioi _ ha, ← integral_smul] refine setIntegral_congr measurableSet_Ioi fun t ht => ?_ dsimp only rw [← mul_smul, ← mul_assoc, inv_mul_cancel (mt abs_eq_zero.1 ha), one_mul, ← smul_assoc, real_smul] rw [ofReal_cpow (le_of_lt ht), ← cpow_mul_ofReal_nonneg (le_of_lt ht), ← cpow_add _ _ (ofReal_ne_zero.mpr <| ne_of_gt ht), ofReal_sub, ofReal_one, mul_sub, mul_div_cancel₀ _ (ofReal_ne_zero.mpr ha), add_comm, ← add_sub_assoc, mul_one, sub_add_cancel] #align mellin_comp_rpow mellin_comp_rpow theorem mellin_comp_mul_left (f : ℝ → E) (s : ℂ) {a : ℝ} (ha : 0 < a) : mellin (fun t => f (a * t)) s = (a : ℂ) ^ (-s) • mellin f s := by simp_rw [mellin] have : EqOn (fun t : ℝ => (t : ℂ) ^ (s - 1) • f (a * t)) (fun t : ℝ => (a : ℂ) ^ (1 - s) • (fun u : ℝ => (u : ℂ) ^ (s - 1) • f u) (a * t)) (Ioi 0) := fun t ht ↦ by dsimp only rw [ofReal_mul, mul_cpow_ofReal_nonneg ha.le (le_of_lt ht), ← mul_smul, (by ring : 1 - s = -(s - 1)), cpow_neg, inv_mul_cancel_left₀] rw [Ne, cpow_eq_zero_iff, ofReal_eq_zero, not_and_or] exact Or.inl ha.ne' rw [setIntegral_congr measurableSet_Ioi this, integral_smul, integral_comp_mul_left_Ioi (fun u ↦ (u : ℂ) ^ (s - 1) • f u) _ ha, mul_zero, ← Complex.coe_smul, ← mul_smul, sub_eq_add_neg, cpow_add _ _ (ofReal_ne_zero.mpr ha.ne'), cpow_one, ofReal_inv, mul_assoc, mul_comm, inv_mul_cancel_right₀ (ofReal_ne_zero.mpr ha.ne')] #align mellin_comp_mul_left mellin_comp_mul_left theorem mellin_comp_mul_right (f : ℝ → E) (s : ℂ) {a : ℝ} (ha : 0 < a) : mellin (fun t => f (t * a)) s = (a : ℂ) ^ (-s) • mellin f s := by simpa only [mul_comm] using mellin_comp_mul_left f s ha #align mellin_comp_mul_right mellin_comp_mul_right
Mathlib/Analysis/MellinTransform.lean
163
165
theorem mellin_comp_inv (f : ℝ → E) (s : ℂ) : mellin (fun t => f t⁻¹) s = mellin f (-s) := by
simp_rw [← rpow_neg_one, mellin_comp_rpow _ _ _, abs_neg, abs_one, inv_one, one_smul, ofReal_neg, ofReal_one, div_neg, div_one]
import Mathlib.Algebra.FreeMonoid.Basic import Mathlib.Algebra.Group.Submonoid.Membership import Mathlib.GroupTheory.Congruence.Basic import Mathlib.GroupTheory.FreeGroup.IsFreeGroup import Mathlib.Data.List.Chain import Mathlib.SetTheory.Cardinal.Basic import Mathlib.Data.Set.Pointwise.SMul #align_import group_theory.free_product from "leanprover-community/mathlib"@"9114ddffa023340c9ec86965e00cdd6fe26fcdf6" open Set variable {ι : Type*} (M : ι → Type*) [∀ i, Monoid (M i)] inductive Monoid.CoprodI.Rel : FreeMonoid (Σi, M i) → FreeMonoid (Σi, M i) → Prop | of_one (i : ι) : Monoid.CoprodI.Rel (FreeMonoid.of ⟨i, 1⟩) 1 | of_mul {i : ι} (x y : M i) : Monoid.CoprodI.Rel (FreeMonoid.of ⟨i, x⟩ * FreeMonoid.of ⟨i, y⟩) (FreeMonoid.of ⟨i, x * y⟩) #align free_product.rel Monoid.CoprodI.Rel def Monoid.CoprodI : Type _ := (conGen (Monoid.CoprodI.Rel M)).Quotient #align free_product Monoid.CoprodI -- Porting note: could not de derived instance : Monoid (Monoid.CoprodI M) := by delta Monoid.CoprodI; infer_instance instance : Inhabited (Monoid.CoprodI M) := ⟨1⟩ namespace Monoid.CoprodI @[ext] structure Word where toList : List (Σi, M i) ne_one : ∀ l ∈ toList, Sigma.snd l ≠ 1 chain_ne : toList.Chain' fun l l' => Sigma.fst l ≠ Sigma.fst l' #align free_product.word Monoid.CoprodI.Word variable {M} def of {i : ι} : M i →* CoprodI M where toFun x := Con.mk' _ (FreeMonoid.of <| Sigma.mk i x) map_one' := (Con.eq _).mpr (ConGen.Rel.of _ _ (CoprodI.Rel.of_one i)) map_mul' x y := Eq.symm <| (Con.eq _).mpr (ConGen.Rel.of _ _ (CoprodI.Rel.of_mul x y)) #align free_product.of Monoid.CoprodI.of theorem of_apply {i} (m : M i) : of m = Con.mk' _ (FreeMonoid.of <| Sigma.mk i m) := rfl #align free_product.of_apply Monoid.CoprodI.of_apply variable {N : Type*} [Monoid N] -- Porting note: higher `ext` priority @[ext 1100] theorem ext_hom (f g : CoprodI M →* N) (h : ∀ i, f.comp (of : M i →* _) = g.comp of) : f = g := (MonoidHom.cancel_right Con.mk'_surjective).mp <| FreeMonoid.hom_eq fun ⟨i, x⟩ => by -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [MonoidHom.comp_apply, MonoidHom.comp_apply, ← of_apply, ← MonoidHom.comp_apply, ← MonoidHom.comp_apply, h]; rfl #align free_product.ext_hom Monoid.CoprodI.ext_hom @[simps symm_apply] def lift : (∀ i, M i →* N) ≃ (CoprodI M →* N) where toFun fi := Con.lift _ (FreeMonoid.lift fun p : Σi, M i => fi p.fst p.snd) <| Con.conGen_le <| by simp_rw [Con.ker_rel] rintro _ _ (i | ⟨x, y⟩) · change FreeMonoid.lift _ (FreeMonoid.of _) = FreeMonoid.lift _ 1 simp only [MonoidHom.map_one, FreeMonoid.lift_eval_of] · change FreeMonoid.lift _ (FreeMonoid.of _ * FreeMonoid.of _) = FreeMonoid.lift _ (FreeMonoid.of _) simp only [MonoidHom.map_mul, FreeMonoid.lift_eval_of] invFun f i := f.comp of left_inv := by intro fi ext i x -- This used to be `rw`, but we need `erw` after leanprover/lean4#2644 erw [MonoidHom.comp_apply, of_apply, Con.lift_mk', FreeMonoid.lift_eval_of] right_inv := by intro f ext i x rfl #align free_product.lift Monoid.CoprodI.lift @[simp] theorem lift_comp_of {N} [Monoid N] (fi : ∀ i, M i →* N) i : (lift fi).comp of = fi i := congr_fun (lift.symm_apply_apply fi) i @[simp] theorem lift_of {N} [Monoid N] (fi : ∀ i, M i →* N) {i} (m : M i) : lift fi (of m) = fi i m := DFunLike.congr_fun (lift_comp_of ..) m #align free_product.lift_of Monoid.CoprodI.lift_of @[simp] theorem lift_comp_of' {N} [Monoid N] (f : CoprodI M →* N) : lift (fun i ↦ f.comp (of (i := i))) = f := lift.apply_symm_apply f @[simp] theorem lift_of' : lift (fun i ↦ (of : M i →* CoprodI M)) = .id (CoprodI M) := lift_comp_of' (.id _) theorem of_leftInverse [DecidableEq ι] (i : ι) : Function.LeftInverse (lift <| Pi.mulSingle i (MonoidHom.id (M i))) of := fun x => by simp only [lift_of, Pi.mulSingle_eq_same, MonoidHom.id_apply] #align free_product.of_left_inverse Monoid.CoprodI.of_leftInverse theorem of_injective (i : ι) : Function.Injective (of : M i →* _) := by classical exact (of_leftInverse i).injective #align free_product.of_injective Monoid.CoprodI.of_injective theorem mrange_eq_iSup {N} [Monoid N] (f : ∀ i, M i →* N) : MonoidHom.mrange (lift f) = ⨆ i, MonoidHom.mrange (f i) := by rw [lift, Equiv.coe_fn_mk, Con.lift_range, FreeMonoid.mrange_lift, range_sigma_eq_iUnion_range, Submonoid.closure_iUnion] simp only [MonoidHom.mclosure_range] #align free_product.mrange_eq_supr Monoid.CoprodI.mrange_eq_iSup theorem lift_mrange_le {N} [Monoid N] (f : ∀ i, M i →* N) {s : Submonoid N} : MonoidHom.mrange (lift f) ≤ s ↔ ∀ i, MonoidHom.mrange (f i) ≤ s := by simp [mrange_eq_iSup] #align free_product.lift_mrange_le Monoid.CoprodI.lift_mrange_le @[simp] theorem iSup_mrange_of : ⨆ i, MonoidHom.mrange (of : M i →* CoprodI M) = ⊤ := by simp [← mrange_eq_iSup] @[simp] theorem mclosure_iUnion_range_of : Submonoid.closure (⋃ i, Set.range (of : M i →* CoprodI M)) = ⊤ := by simp [Submonoid.closure_iUnion] @[elab_as_elim] theorem induction_left {C : CoprodI M → Prop} (m : CoprodI M) (one : C 1) (mul : ∀ {i} (m : M i) x, C x → C (of m * x)) : C m := by induction m using Submonoid.induction_of_closure_eq_top_left mclosure_iUnion_range_of with | one => exact one | mul x hx y ihy => obtain ⟨i, m, rfl⟩ : ∃ (i : ι) (m : M i), of m = x := by simpa using hx exact mul m y ihy @[elab_as_elim] theorem induction_on {C : CoprodI M → Prop} (m : CoprodI M) (h_one : C 1) (h_of : ∀ (i) (m : M i), C (of m)) (h_mul : ∀ x y, C x → C y → C (x * y)) : C m := by induction m using CoprodI.induction_left with | one => exact h_one | mul m x hx => exact h_mul _ _ (h_of _ _) hx #align free_product.induction_on Monoid.CoprodI.induction_on namespace Word @[simps] def empty : Word M where toList := [] ne_one := by simp chain_ne := List.chain'_nil #align free_product.word.empty Monoid.CoprodI.Word.empty instance : Inhabited (Word M) := ⟨empty⟩ def prod (w : Word M) : CoprodI M := List.prod (w.toList.map fun l => of l.snd) #align free_product.word.prod Monoid.CoprodI.Word.prod @[simp] theorem prod_empty : prod (empty : Word M) = 1 := rfl #align free_product.word.prod_empty Monoid.CoprodI.Word.prod_empty def fstIdx (w : Word M) : Option ι := w.toList.head?.map Sigma.fst #align free_product.word.fst_idx Monoid.CoprodI.Word.fstIdx theorem fstIdx_ne_iff {w : Word M} {i} : fstIdx w ≠ some i ↔ ∀ l ∈ w.toList.head?, i ≠ Sigma.fst l := not_iff_not.mp <| by simp [fstIdx] #align free_product.word.fst_idx_ne_iff Monoid.CoprodI.Word.fstIdx_ne_iff variable (M) @[ext] structure Pair (i : ι) where head : M i tail : Word M fstIdx_ne : fstIdx tail ≠ some i #align free_product.word.pair Monoid.CoprodI.Word.Pair instance (i : ι) : Inhabited (Pair M i) := ⟨⟨1, empty, by tauto⟩⟩ variable {M} variable [∀ i, DecidableEq (M i)] @[simps] def cons {i} (m : M i) (w : Word M) (hmw : w.fstIdx ≠ some i) (h1 : m ≠ 1) : Word M := { toList := ⟨i, m⟩ :: w.toList, ne_one := by simp only [List.mem_cons] rintro l (rfl | hl) · exact h1 · exact w.ne_one l hl chain_ne := w.chain_ne.cons' (fstIdx_ne_iff.mp hmw) } def rcons {i} (p : Pair M i) : Word M := if h : p.head = 1 then p.tail else cons p.head p.tail p.fstIdx_ne h #align free_product.word.rcons Monoid.CoprodI.Word.rcons #noalign free_product.word.cons_eq_rcons @[simp] theorem prod_rcons {i} (p : Pair M i) : prod (rcons p) = of p.head * prod p.tail := if hm : p.head = 1 then by rw [rcons, dif_pos hm, hm, MonoidHom.map_one, one_mul] else by rw [rcons, dif_neg hm, cons, prod, List.map_cons, List.prod_cons, prod] #align free_product.word.prod_rcons Monoid.CoprodI.Word.prod_rcons theorem rcons_inj {i} : Function.Injective (rcons : Pair M i → Word M) := by rintro ⟨m, w, h⟩ ⟨m', w', h'⟩ he by_cases hm : m = 1 <;> by_cases hm' : m' = 1 · simp only [rcons, dif_pos hm, dif_pos hm'] at he aesop · exfalso simp only [rcons, dif_pos hm, dif_neg hm'] at he rw [he] at h exact h rfl · exfalso simp only [rcons, dif_pos hm', dif_neg hm] at he rw [← he] at h' exact h' rfl · have : m = m' ∧ w.toList = w'.toList := by simpa [cons, rcons, dif_neg hm, dif_neg hm', true_and_iff, eq_self_iff_true, Subtype.mk_eq_mk, heq_iff_eq, ← Subtype.ext_iff_val] using he rcases this with ⟨rfl, h⟩ congr exact Word.ext _ _ h #align free_product.word.rcons_inj Monoid.CoprodI.Word.rcons_inj theorem mem_rcons_iff {i j : ι} (p : Pair M i) (m : M j) : ⟨_, m⟩ ∈ (rcons p).toList ↔ ⟨_, m⟩ ∈ p.tail.toList ∨ m ≠ 1 ∧ (∃ h : i = j, m = h ▸ p.head) := by simp only [rcons, cons, ne_eq] by_cases hij : i = j · subst i by_cases hm : m = p.head · subst m split_ifs <;> simp_all · split_ifs <;> simp_all · split_ifs <;> simp_all [Ne.symm hij] @[simp] theorem fstIdx_cons {i} (m : M i) (w : Word M) (hmw : w.fstIdx ≠ some i) (h1 : m ≠ 1) : fstIdx (cons m w hmw h1) = some i := by simp [cons, fstIdx] @[simp] theorem prod_cons (i) (m : M i) (w : Word M) (h1 : m ≠ 1) (h2 : w.fstIdx ≠ some i) : prod (cons m w h2 h1) = of m * prod w := by simp [cons, prod, List.map_cons, List.prod_cons] @[elab_as_elim] def consRecOn {motive : Word M → Sort*} (w : Word M) (h_empty : motive empty) (h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) : motive w := by rcases w with ⟨w, h1, h2⟩ induction w with | nil => exact h_empty | cons m w ih => refine h_cons m.1 m.2 ⟨w, fun _ hl => h1 _ (List.mem_cons_of_mem _ hl), h2.tail⟩ ?_ ?_ (ih _ _) · rw [List.chain'_cons'] at h2 simp only [fstIdx, ne_eq, Option.map_eq_some', Sigma.exists, exists_and_right, exists_eq_right, not_exists] intro m' hm' exact h2.1 _ hm' rfl · exact h1 _ (List.mem_cons_self _ _) @[simp] theorem consRecOn_empty {motive : Word M → Sort*} (h_empty : motive empty) (h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) : consRecOn empty h_empty h_cons = h_empty := rfl @[simp] theorem consRecOn_cons {motive : Word M → Sort*} (i) (m : M i) (w : Word M) h1 h2 (h_empty : motive empty) (h_cons : ∀ (i) (m : M i) (w) h1 h2, motive w → motive (cons m w h1 h2)) : consRecOn (cons m w h1 h2) h_empty h_cons = h_cons i m w h1 h2 (consRecOn w h_empty h_cons) := rfl variable [DecidableEq ι] -- This definition is computable but not very nice to look at. Thankfully we don't have to inspect -- it, since `rcons` is known to be injective. private def equivPairAux (i) (w : Word M) : { p : Pair M i // rcons p = w } := consRecOn w ⟨⟨1, .empty, by simp [fstIdx, empty]⟩, by simp [rcons]⟩ <| fun j m w h1 h2 _ => if ij : i = j then { val := { head := ij ▸ m tail := w fstIdx_ne := ij ▸ h1 } property := by subst ij; simp [rcons, h2] } else ⟨⟨1, cons m w h1 h2, by simp [cons, fstIdx, Ne.symm ij]⟩, by simp [rcons]⟩ def equivPair (i) : Word M ≃ Pair M i where toFun w := (equivPairAux i w).val invFun := rcons left_inv w := (equivPairAux i w).property right_inv _ := rcons_inj (equivPairAux i _).property #align free_product.word.equiv_pair Monoid.CoprodI.Word.equivPair theorem equivPair_symm (i) (p : Pair M i) : (equivPair i).symm p = rcons p := rfl #align free_product.word.equiv_pair_symm Monoid.CoprodI.Word.equivPair_symm theorem equivPair_eq_of_fstIdx_ne {i} {w : Word M} (h : fstIdx w ≠ some i) : equivPair i w = ⟨1, w, h⟩ := (equivPair i).apply_eq_iff_eq_symm_apply.mpr <| Eq.symm (dif_pos rfl) #align free_product.word.equiv_pair_eq_of_fst_idx_ne Monoid.CoprodI.Word.equivPair_eq_of_fstIdx_ne theorem mem_equivPair_tail_iff {i j : ι} {w : Word M} (m : M i) : (⟨i, m⟩ ∈ (equivPair j w).tail.toList) ↔ ⟨i, m⟩ ∈ w.toList.tail ∨ i ≠ j ∧ ∃ h : w.toList ≠ [], w.toList.head h = ⟨i, m⟩ := by simp only [equivPair, equivPairAux, ne_eq, Equiv.coe_fn_mk] induction w using consRecOn with | h_empty => simp | h_cons k g tail h1 h2 ih => simp only [consRecOn_cons] split_ifs with h · subst k by_cases hij : j = i <;> simp_all · by_cases hik : i = k · subst i; simp_all [@eq_comm _ m g, @eq_comm _ k j, or_comm] · simp [hik, Ne.symm hik] theorem mem_of_mem_equivPair_tail {i j : ι} {w : Word M} (m : M i) : (⟨i, m⟩ ∈ (equivPair j w).tail.toList) → ⟨i, m⟩ ∈ w.toList := by rw [mem_equivPair_tail_iff] rintro (h | h) · exact List.mem_of_mem_tail h · revert h; cases w.toList <;> simp (config := {contextual := true})
Mathlib/GroupTheory/CoprodI.lean
500
511
theorem equivPair_head {i : ι} {w : Word M} : (equivPair i w).head = if h : ∃ (h : w.toList ≠ []), (w.toList.head h).1 = i then h.snd ▸ (w.toList.head h.1).2 else 1 := by
simp only [equivPair, equivPairAux] induction w using consRecOn with | h_empty => simp | h_cons head => by_cases hi : i = head · subst hi; simp · simp [hi, Ne.symm hi]
import Mathlib.NumberTheory.Padics.PadicIntegers import Mathlib.RingTheory.ZMod #align_import number_theory.padics.ring_homs from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950" noncomputable section open scoped Classical open Nat LocalRing Padic namespace PadicInt variable {p : ℕ} [hp_prime : Fact p.Prime] section lift open CauSeq PadicSeq variable {R : Type*} [NonAssocSemiring R] (f : ∀ k : ℕ, R →+* ZMod (p ^ k)) (f_compat : ∀ (k1 k2) (hk : k1 ≤ k2), (ZMod.castHom (pow_dvd_pow p hk) _).comp (f k2) = f k1) def nthHom (r : R) : ℕ → ℤ := fun n => (f n r : ZMod (p ^ n)).val #align padic_int.nth_hom PadicInt.nthHom @[simp] theorem nthHom_zero : nthHom f 0 = 0 := by simp (config := { unfoldPartialApp := true }) [nthHom] rfl #align padic_int.nth_hom_zero PadicInt.nthHom_zero variable {f} theorem pow_dvd_nthHom_sub (r : R) (i j : ℕ) (h : i ≤ j) : (p : ℤ) ^ i ∣ nthHom f r j - nthHom f r i := by specialize f_compat i j h rw [← Int.natCast_pow, ← ZMod.intCast_zmod_eq_zero_iff_dvd, Int.cast_sub] dsimp [nthHom] rw [← f_compat, RingHom.comp_apply] simp only [ZMod.cast_id, ZMod.castHom_apply, sub_self, ZMod.natCast_val, ZMod.intCast_cast] #align padic_int.pow_dvd_nth_hom_sub PadicInt.pow_dvd_nthHom_sub theorem isCauSeq_nthHom (r : R) : IsCauSeq (padicNorm p) fun n => nthHom f r n := by intro ε hε obtain ⟨k, hk⟩ : ∃ k : ℕ, (p : ℚ) ^ (-((k : ℕ) : ℤ)) < ε := exists_pow_neg_lt_rat p hε use k intro j hj refine lt_of_le_of_lt ?_ hk -- Need to do beta reduction first, as `norm_cast` doesn't. -- Added to adapt to leanprover/lean4#2734. beta_reduce norm_cast rw [← padicNorm.dvd_iff_norm_le] exact mod_cast pow_dvd_nthHom_sub f_compat r k j hj #align padic_int.is_cau_seq_nth_hom PadicInt.isCauSeq_nthHom def nthHomSeq (r : R) : PadicSeq p := ⟨fun n => nthHom f r n, isCauSeq_nthHom f_compat r⟩ #align padic_int.nth_hom_seq PadicInt.nthHomSeq -- this lemma ran into issues after changing to `NeZero` and I'm not sure why. theorem nthHomSeq_one : nthHomSeq f_compat 1 ≈ 1 := by intro ε hε change _ < _ at hε use 1 intro j hj haveI : Fact (1 < p ^ j) := ⟨Nat.one_lt_pow (by omega) hp_prime.1.one_lt⟩ suffices (ZMod.cast (1 : ZMod (p ^ j)) : ℚ) = 1 by simp [nthHomSeq, nthHom, this, hε] rw [ZMod.cast_eq_val, ZMod.val_one, Nat.cast_one] #align padic_int.nth_hom_seq_one PadicInt.nthHomSeq_one theorem nthHomSeq_add (r s : R) : nthHomSeq f_compat (r + s) ≈ nthHomSeq f_compat r + nthHomSeq f_compat s := by intro ε hε obtain ⟨n, hn⟩ := exists_pow_neg_lt_rat p hε use n intro j hj dsimp [nthHomSeq] apply lt_of_le_of_lt _ hn rw [← Int.cast_add, ← Int.cast_sub, ← padicNorm.dvd_iff_norm_le, ← ZMod.intCast_zmod_eq_zero_iff_dvd] dsimp [nthHom] simp only [ZMod.natCast_val, RingHom.map_add, Int.cast_sub, ZMod.intCast_cast, Int.cast_add] rw [ZMod.cast_add (show p ^ n ∣ p ^ j from pow_dvd_pow _ hj)] simp only [cast_add, ZMod.natCast_val, Int.cast_add, ZMod.intCast_cast, sub_self] #align padic_int.nth_hom_seq_add PadicInt.nthHomSeq_add theorem nthHomSeq_mul (r s : R) : nthHomSeq f_compat (r * s) ≈ nthHomSeq f_compat r * nthHomSeq f_compat s := by intro ε hε obtain ⟨n, hn⟩ := exists_pow_neg_lt_rat p hε use n intro j hj dsimp [nthHomSeq] apply lt_of_le_of_lt _ hn rw [← Int.cast_mul, ← Int.cast_sub, ← padicNorm.dvd_iff_norm_le, ← ZMod.intCast_zmod_eq_zero_iff_dvd] dsimp [nthHom] simp only [ZMod.natCast_val, RingHom.map_mul, Int.cast_sub, ZMod.intCast_cast, Int.cast_mul] rw [ZMod.cast_mul (show p ^ n ∣ p ^ j from pow_dvd_pow _ hj), sub_self] #align padic_int.nth_hom_seq_mul PadicInt.nthHomSeq_mul def limNthHom (r : R) : ℤ_[p] := ofIntSeq (nthHom f r) (isCauSeq_nthHom f_compat r) #align padic_int.lim_nth_hom PadicInt.limNthHom
Mathlib/NumberTheory/Padics/RingHoms.lean
586
597
theorem limNthHom_spec (r : R) : ∀ ε : ℝ, 0 < ε → ∃ N : ℕ, ∀ n ≥ N, ‖limNthHom f_compat r - nthHom f r n‖ < ε := by
intro ε hε obtain ⟨ε', hε'0, hε'⟩ : ∃ v : ℚ, (0 : ℝ) < v ∧ ↑v < ε := exists_rat_btwn hε norm_cast at hε'0 obtain ⟨N, hN⟩ := padicNormE.defn (nthHomSeq f_compat r) hε'0 use N intro n hn apply _root_.lt_trans _ hε' change (padicNormE _ : ℝ) < _ norm_cast exact hN _ hn
import Mathlib.CategoryTheory.Galois.Basic import Mathlib.CategoryTheory.Limits.FintypeCat import Mathlib.CategoryTheory.Limits.Preserves.Limits import Mathlib.CategoryTheory.Limits.Shapes.SingleObj import Mathlib.Logic.Equiv.TransferInstance universe u₁ u₂ v₁ v₂ v w namespace CategoryTheory namespace PreGaloisCategory open Limits Functor noncomputable instance {G : Type v} [Group G] [Finite G] : PreservesColimitsOfShape (SingleObj G) FintypeCat.incl.{w} := by choose G' hg hf e using Finite.exists_type_zero_nonempty_mulEquiv G exact Limits.preservesColimitsOfShapeOfEquiv (Classical.choice e).toSingleObjEquiv.symm _ class IsGalois {C : Type u₁} [Category.{u₂, u₁} C] [GaloisCategory C] (X : C) extends IsConnected X : Prop where quotientByAutTerminal : Nonempty (IsTerminal <| colimit <| SingleObj.functor <| Aut.toEnd X) variable {C : Type u₁} [Category.{u₂, u₁} C] instance autMulFiber (F : C ⥤ FintypeCat.{w}) (X : C) : MulAction (Aut X) (F.obj X) where smul σ a := F.map σ.hom a one_smul a := by show F.map (𝟙 X) a = a simp only [map_id, FintypeCat.id_apply] mul_smul g h a := by show F.map (h.hom ≫ g.hom) a = (F.map h.hom ≫ F.map g.hom) a simp only [map_comp, FintypeCat.comp_apply] variable [GaloisCategory C] (F : C ⥤ FintypeCat.{w}) [FiberFunctor F] noncomputable def quotientByAutTerminalEquivUniqueQuotient (X : C) [IsConnected X] : IsTerminal (colimit <| SingleObj.functor <| Aut.toEnd X) ≃ Unique (MulAction.orbitRel.Quotient (Aut X) (F.obj X)) := by let J : SingleObj (Aut X) ⥤ C := SingleObj.functor (Aut.toEnd X) let e : (F ⋙ FintypeCat.incl).obj (colimit J) ≅ _ := preservesColimitIso (F ⋙ FintypeCat.incl) J ≪≫ (Equiv.toIso <| SingleObj.Types.colimitEquivQuotient (J ⋙ F ⋙ FintypeCat.incl)) apply Equiv.trans · apply (IsTerminal.isTerminalIffObj (F ⋙ FintypeCat.incl) _).trans (isLimitEmptyConeEquiv _ (asEmptyCone _) (asEmptyCone _) e) exact Types.isTerminalEquivUnique _ lemma isGalois_iff_aux (X : C) [IsConnected X] : IsGalois X ↔ Nonempty (IsTerminal <| colimit <| SingleObj.functor <| Aut.toEnd X) := ⟨fun h ↦ h.quotientByAutTerminal, fun h ↦ ⟨h⟩⟩
Mathlib/CategoryTheory/Galois/GaloisObjects.lean
81
84
theorem isGalois_iff_pretransitive (X : C) [IsConnected X] : IsGalois X ↔ MulAction.IsPretransitive (Aut X) (F.obj X) := by
rw [isGalois_iff_aux, Equiv.nonempty_congr <| quotientByAutTerminalEquivUniqueQuotient F X] exact (MulAction.pretransitive_iff_unique_quotient_of_nonempty (Aut X) (F.obj X)).symm
import Mathlib.Init.Core import Mathlib.RingTheory.Polynomial.Cyclotomic.Roots import Mathlib.NumberTheory.NumberField.Basic import Mathlib.FieldTheory.Galois #align_import number_theory.cyclotomic.basic from "leanprover-community/mathlib"@"4b05d3f4f0601dca8abf99c4ec99187682ed0bba" open Polynomial Algebra FiniteDimensional Set universe u v w z variable (n : ℕ+) (S T : Set ℕ+) (A : Type u) (B : Type v) (K : Type w) (L : Type z) variable [CommRing A] [CommRing B] [Algebra A B] variable [Field K] [Field L] [Algebra K L] noncomputable section @[mk_iff] class IsCyclotomicExtension : Prop where exists_prim_root {n : ℕ+} (ha : n ∈ S) : ∃ r : B, IsPrimitiveRoot r n adjoin_roots : ∀ x : B, x ∈ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} #align is_cyclotomic_extension IsCyclotomicExtension namespace IsCyclotomicExtension section Basic theorem iff_adjoin_eq_top : IsCyclotomicExtension S A B ↔ (∀ n : ℕ+, n ∈ S → ∃ r : B, IsPrimitiveRoot r n) ∧ adjoin A {b : B | ∃ n : ℕ+, n ∈ S ∧ b ^ (n : ℕ) = 1} = ⊤ := ⟨fun h => ⟨fun _ => h.exists_prim_root, Algebra.eq_top_iff.2 h.adjoin_roots⟩, fun h => ⟨h.1 _, Algebra.eq_top_iff.1 h.2⟩⟩ #align is_cyclotomic_extension.iff_adjoin_eq_top IsCyclotomicExtension.iff_adjoin_eq_top theorem iff_singleton : IsCyclotomicExtension {n} A B ↔ (∃ r : B, IsPrimitiveRoot r n) ∧ ∀ x, x ∈ adjoin A {b : B | b ^ (n : ℕ) = 1} := by simp [isCyclotomicExtension_iff] #align is_cyclotomic_extension.iff_singleton IsCyclotomicExtension.iff_singleton
Mathlib/NumberTheory/Cyclotomic/Basic.lean
107
108
theorem empty [h : IsCyclotomicExtension ∅ A B] : (⊥ : Subalgebra A B) = ⊤ := by
simpa [Algebra.eq_top_iff, isCyclotomicExtension_iff] using h
import Mathlib.Analysis.InnerProductSpace.Projection import Mathlib.Geometry.Euclidean.PerpBisector import Mathlib.Algebra.QuadraticDiscriminant #align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open scoped Classical open RealInnerProductSpace namespace EuclideanGeometry variable {V : Type*} {P : Type*} variable [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P] variable [NormedAddTorsor V P] theorem dist_left_midpoint_eq_dist_right_midpoint (p1 p2 : P) : dist p1 (midpoint ℝ p1 p2) = dist p2 (midpoint ℝ p1 p2) := by rw [dist_left_midpoint (𝕜 := ℝ) p1 p2, dist_right_midpoint (𝕜 := ℝ) p1 p2] #align euclidean_geometry.dist_left_midpoint_eq_dist_right_midpoint EuclideanGeometry.dist_left_midpoint_eq_dist_right_midpoint theorem inner_weightedVSub {ι₁ : Type*} {s₁ : Finset ι₁} {w₁ : ι₁ → ℝ} (p₁ : ι₁ → P) (h₁ : ∑ i ∈ s₁, w₁ i = 0) {ι₂ : Type*} {s₂ : Finset ι₂} {w₂ : ι₂ → ℝ} (p₂ : ι₂ → P) (h₂ : ∑ i ∈ s₂, w₂ i = 0) : ⟪s₁.weightedVSub p₁ w₁, s₂.weightedVSub p₂ w₂⟫ = (-∑ i₁ ∈ s₁, ∑ i₂ ∈ s₂, w₁ i₁ * w₂ i₂ * (dist (p₁ i₁) (p₂ i₂) * dist (p₁ i₁) (p₂ i₂))) / 2 := by rw [Finset.weightedVSub_apply, Finset.weightedVSub_apply, inner_sum_smul_sum_smul_of_sum_eq_zero _ h₁ _ h₂] simp_rw [vsub_sub_vsub_cancel_right] rcongr (i₁ i₂) <;> rw [dist_eq_norm_vsub V (p₁ i₁) (p₂ i₂)] #align euclidean_geometry.inner_weighted_vsub EuclideanGeometry.inner_weightedVSub theorem dist_affineCombination {ι : Type*} {s : Finset ι} {w₁ w₂ : ι → ℝ} (p : ι → P) (h₁ : ∑ i ∈ s, w₁ i = 1) (h₂ : ∑ i ∈ s, w₂ i = 1) : by have a₁ := s.affineCombination ℝ p w₁ have a₂ := s.affineCombination ℝ p w₂ exact dist a₁ a₂ * dist a₁ a₂ = (-∑ i₁ ∈ s, ∑ i₂ ∈ s, (w₁ - w₂) i₁ * (w₁ - w₂) i₂ * (dist (p i₁) (p i₂) * dist (p i₁) (p i₂))) / 2 := by dsimp only rw [dist_eq_norm_vsub V (s.affineCombination ℝ p w₁) (s.affineCombination ℝ p w₂), ← @inner_self_eq_norm_mul_norm ℝ, Finset.affineCombination_vsub] have h : (∑ i ∈ s, (w₁ - w₂) i) = 0 := by simp_rw [Pi.sub_apply, Finset.sum_sub_distrib, h₁, h₂, sub_self] exact inner_weightedVSub p h p h #align euclidean_geometry.dist_affine_combination EuclideanGeometry.dist_affineCombination -- Porting note: `inner_vsub_vsub_of_dist_eq_of_dist_eq` moved to `PerpendicularBisector` theorem dist_smul_vadd_sq (r : ℝ) (v : V) (p₁ p₂ : P) : dist (r • v +ᵥ p₁) p₂ * dist (r • v +ᵥ p₁) p₂ = ⟪v, v⟫ * r * r + 2 * ⟪v, p₁ -ᵥ p₂⟫ * r + ⟪p₁ -ᵥ p₂, p₁ -ᵥ p₂⟫ := by rw [dist_eq_norm_vsub V _ p₂, ← real_inner_self_eq_norm_mul_norm, vadd_vsub_assoc, real_inner_add_add_self, real_inner_smul_left, real_inner_smul_left, real_inner_smul_right] ring #align euclidean_geometry.dist_smul_vadd_sq EuclideanGeometry.dist_smul_vadd_sq theorem dist_smul_vadd_eq_dist {v : V} (p₁ p₂ : P) (hv : v ≠ 0) (r : ℝ) : dist (r • v +ᵥ p₁) p₂ = dist p₁ p₂ ↔ r = 0 ∨ r = -2 * ⟪v, p₁ -ᵥ p₂⟫ / ⟪v, v⟫ := by conv_lhs => rw [← mul_self_inj_of_nonneg dist_nonneg dist_nonneg, dist_smul_vadd_sq, ← sub_eq_zero, add_sub_assoc, dist_eq_norm_vsub V p₁ p₂, ← real_inner_self_eq_norm_mul_norm, sub_self] have hvi : ⟪v, v⟫ ≠ 0 := by simpa using hv have hd : discrim ⟪v, v⟫ (2 * ⟪v, p₁ -ᵥ p₂⟫) 0 = 2 * ⟪v, p₁ -ᵥ p₂⟫ * (2 * ⟪v, p₁ -ᵥ p₂⟫) := by rw [discrim] ring rw [quadratic_eq_zero_iff hvi hd, add_left_neg, zero_div, neg_mul_eq_neg_mul, ← mul_sub_right_distrib, sub_eq_add_neg, ← mul_two, mul_assoc, mul_div_assoc, mul_div_mul_left, mul_div_assoc] norm_num #align euclidean_geometry.dist_smul_vadd_eq_dist EuclideanGeometry.dist_smul_vadd_eq_dist open AffineSubspace FiniteDimensional theorem eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two {s : AffineSubspace ℝ P} [FiniteDimensional ℝ s.direction] (hd : finrank ℝ s.direction = 2) {c₁ c₂ p₁ p₂ p : P} (hc₁s : c₁ ∈ s) (hc₂s : c₂ ∈ s) (hp₁s : p₁ ∈ s) (hp₂s : p₂ ∈ s) (hps : p ∈ s) {r₁ r₂ : ℝ} (hc : c₁ ≠ c₂) (hp : p₁ ≠ p₂) (hp₁c₁ : dist p₁ c₁ = r₁) (hp₂c₁ : dist p₂ c₁ = r₁) (hpc₁ : dist p c₁ = r₁) (hp₁c₂ : dist p₁ c₂ = r₂) (hp₂c₂ : dist p₂ c₂ = r₂) (hpc₂ : dist p c₂ = r₂) : p = p₁ ∨ p = p₂ := by have ho : ⟪c₂ -ᵥ c₁, p₂ -ᵥ p₁⟫ = 0 := inner_vsub_vsub_of_dist_eq_of_dist_eq (hp₁c₁.trans hp₂c₁.symm) (hp₁c₂.trans hp₂c₂.symm) have hop : ⟪c₂ -ᵥ c₁, p -ᵥ p₁⟫ = 0 := inner_vsub_vsub_of_dist_eq_of_dist_eq (hp₁c₁.trans hpc₁.symm) (hp₁c₂.trans hpc₂.symm) let b : Fin 2 → V := ![c₂ -ᵥ c₁, p₂ -ᵥ p₁] have hb : LinearIndependent ℝ b := by refine linearIndependent_of_ne_zero_of_inner_eq_zero ?_ ?_ · intro i fin_cases i <;> simp [b, hc.symm, hp.symm] · intro i j hij fin_cases i <;> fin_cases j <;> try exact False.elim (hij rfl) · exact ho · rw [real_inner_comm] exact ho have hbs : Submodule.span ℝ (Set.range b) = s.direction := by refine eq_of_le_of_finrank_eq ?_ ?_ · rw [Submodule.span_le, Set.range_subset_iff] intro i fin_cases i · exact vsub_mem_direction hc₂s hc₁s · exact vsub_mem_direction hp₂s hp₁s · rw [finrank_span_eq_card hb, Fintype.card_fin, hd] have hv : ∀ v ∈ s.direction, ∃ t₁ t₂ : ℝ, v = t₁ • (c₂ -ᵥ c₁) + t₂ • (p₂ -ᵥ p₁) := by intro v hv have hr : Set.range b = {c₂ -ᵥ c₁, p₂ -ᵥ p₁} := by have hu : (Finset.univ : Finset (Fin 2)) = {0, 1} := by decide rw [← Fintype.coe_image_univ, hu] simp [b] rw [← hbs, hr, Submodule.mem_span_insert] at hv rcases hv with ⟨t₁, v', hv', hv⟩ rw [Submodule.mem_span_singleton] at hv' rcases hv' with ⟨t₂, rfl⟩ exact ⟨t₁, t₂, hv⟩ rcases hv (p -ᵥ p₁) (vsub_mem_direction hps hp₁s) with ⟨t₁, t₂, hpt⟩ simp only [hpt, inner_add_right, inner_smul_right, ho, mul_zero, add_zero, mul_eq_zero, inner_self_eq_zero, vsub_eq_zero_iff_eq, hc.symm, or_false_iff] at hop rw [hop, zero_smul, zero_add, ← eq_vadd_iff_vsub_eq] at hpt subst hpt have hp' : (p₂ -ᵥ p₁ : V) ≠ 0 := by simp [hp.symm] have hp₂ : dist ((1 : ℝ) • (p₂ -ᵥ p₁) +ᵥ p₁) c₁ = r₁ := by simp [hp₂c₁] rw [← hp₁c₁, dist_smul_vadd_eq_dist _ _ hp'] at hpc₁ hp₂ simp only [one_ne_zero, false_or_iff] at hp₂ rw [hp₂.symm] at hpc₁ cases' hpc₁ with hpc₁ hpc₁ <;> simp [hpc₁] #align euclidean_geometry.eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two EuclideanGeometry.eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two theorem eq_of_dist_eq_of_dist_eq_of_finrank_eq_two [FiniteDimensional ℝ V] (hd : finrank ℝ V = 2) {c₁ c₂ p₁ p₂ p : P} {r₁ r₂ : ℝ} (hc : c₁ ≠ c₂) (hp : p₁ ≠ p₂) (hp₁c₁ : dist p₁ c₁ = r₁) (hp₂c₁ : dist p₂ c₁ = r₁) (hpc₁ : dist p c₁ = r₁) (hp₁c₂ : dist p₁ c₂ = r₂) (hp₂c₂ : dist p₂ c₂ = r₂) (hpc₂ : dist p c₂ = r₂) : p = p₁ ∨ p = p₂ := haveI hd' : finrank ℝ (⊤ : AffineSubspace ℝ P).direction = 2 := by rw [direction_top, finrank_top] exact hd eq_of_dist_eq_of_dist_eq_of_mem_of_finrank_eq_two hd' (mem_top ℝ V _) (mem_top ℝ V _) (mem_top ℝ V _) (mem_top ℝ V _) (mem_top ℝ V _) hc hp hp₁c₁ hp₂c₁ hpc₁ hp₁c₂ hp₂c₂ hpc₂ #align euclidean_geometry.eq_of_dist_eq_of_dist_eq_of_finrank_eq_two EuclideanGeometry.eq_of_dist_eq_of_dist_eq_of_finrank_eq_two def orthogonalProjectionFn (s : AffineSubspace ℝ P) [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : P := Classical.choose <| inter_eq_singleton_of_nonempty_of_isCompl (nonempty_subtype.mp ‹_›) (mk'_nonempty p s.directionᗮ) (by rw [direction_mk' p s.directionᗮ] exact Submodule.isCompl_orthogonal_of_completeSpace) #align euclidean_geometry.orthogonal_projection_fn EuclideanGeometry.orthogonalProjectionFn theorem inter_eq_singleton_orthogonalProjectionFn {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : (s : Set P) ∩ mk' p s.directionᗮ = {orthogonalProjectionFn s p} := Classical.choose_spec <| inter_eq_singleton_of_nonempty_of_isCompl (nonempty_subtype.mp ‹_›) (mk'_nonempty p s.directionᗮ) (by rw [direction_mk' p s.directionᗮ] exact Submodule.isCompl_orthogonal_of_completeSpace) #align euclidean_geometry.inter_eq_singleton_orthogonal_projection_fn EuclideanGeometry.inter_eq_singleton_orthogonalProjectionFn theorem orthogonalProjectionFn_mem {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : orthogonalProjectionFn s p ∈ s := by rw [← mem_coe, ← Set.singleton_subset_iff, ← inter_eq_singleton_orthogonalProjectionFn] exact Set.inter_subset_left #align euclidean_geometry.orthogonal_projection_fn_mem EuclideanGeometry.orthogonalProjectionFn_mem theorem orthogonalProjectionFn_mem_orthogonal {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : orthogonalProjectionFn s p ∈ mk' p s.directionᗮ := by rw [← mem_coe, ← Set.singleton_subset_iff, ← inter_eq_singleton_orthogonalProjectionFn] exact Set.inter_subset_right #align euclidean_geometry.orthogonal_projection_fn_mem_orthogonal EuclideanGeometry.orthogonalProjectionFn_mem_orthogonal theorem orthogonalProjectionFn_vsub_mem_direction_orthogonal {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : orthogonalProjectionFn s p -ᵥ p ∈ s.directionᗮ := direction_mk' p s.directionᗮ ▸ vsub_mem_direction (orthogonalProjectionFn_mem_orthogonal p) (self_mem_mk' _ _) #align euclidean_geometry.orthogonal_projection_fn_vsub_mem_direction_orthogonal EuclideanGeometry.orthogonalProjectionFn_vsub_mem_direction_orthogonal attribute [local instance] AffineSubspace.toAddTorsor nonrec def orthogonalProjection (s : AffineSubspace ℝ P) [Nonempty s] [HasOrthogonalProjection s.direction] : P →ᵃ[ℝ] s where toFun p := ⟨orthogonalProjectionFn s p, orthogonalProjectionFn_mem p⟩ linear := orthogonalProjection s.direction map_vadd' p v := by have hs : ((orthogonalProjection s.direction) v : V) +ᵥ orthogonalProjectionFn s p ∈ s := vadd_mem_of_mem_direction (orthogonalProjection s.direction v).2 (orthogonalProjectionFn_mem p) have ho : ((orthogonalProjection s.direction) v : V) +ᵥ orthogonalProjectionFn s p ∈ mk' (v +ᵥ p) s.directionᗮ := by rw [← vsub_right_mem_direction_iff_mem (self_mem_mk' _ _) _, direction_mk', vsub_vadd_eq_vsub_sub, vadd_vsub_assoc, add_comm, add_sub_assoc] refine Submodule.add_mem _ (orthogonalProjectionFn_vsub_mem_direction_orthogonal p) ?_ rw [Submodule.mem_orthogonal'] intro w hw rw [← neg_sub, inner_neg_left, orthogonalProjection_inner_eq_zero _ w hw, neg_zero] have hm : ((orthogonalProjection s.direction) v : V) +ᵥ orthogonalProjectionFn s p ∈ ({orthogonalProjectionFn s (v +ᵥ p)} : Set P) := by rw [← inter_eq_singleton_orthogonalProjectionFn (v +ᵥ p)] exact Set.mem_inter hs ho rw [Set.mem_singleton_iff] at hm ext exact hm.symm #align euclidean_geometry.orthogonal_projection EuclideanGeometry.orthogonalProjection @[simp] theorem orthogonalProjectionFn_eq {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : orthogonalProjectionFn s p = orthogonalProjection s p := rfl #align euclidean_geometry.orthogonal_projection_fn_eq EuclideanGeometry.orthogonalProjectionFn_eq @[simp] theorem orthogonalProjection_linear {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] : (orthogonalProjection s).linear = _root_.orthogonalProjection s.direction := rfl #align euclidean_geometry.orthogonal_projection_linear EuclideanGeometry.orthogonalProjection_linear theorem inter_eq_singleton_orthogonalProjection {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : (s : Set P) ∩ mk' p s.directionᗮ = {↑(orthogonalProjection s p)} := by rw [← orthogonalProjectionFn_eq] exact inter_eq_singleton_orthogonalProjectionFn p #align euclidean_geometry.inter_eq_singleton_orthogonal_projection EuclideanGeometry.inter_eq_singleton_orthogonalProjection theorem orthogonalProjection_mem {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : ↑(orthogonalProjection s p) ∈ s := (orthogonalProjection s p).2 #align euclidean_geometry.orthogonal_projection_mem EuclideanGeometry.orthogonalProjection_mem theorem orthogonalProjection_mem_orthogonal (s : AffineSubspace ℝ P) [Nonempty s] [HasOrthogonalProjection s.direction] (p : P) : ↑(orthogonalProjection s p) ∈ mk' p s.directionᗮ := orthogonalProjectionFn_mem_orthogonal p #align euclidean_geometry.orthogonal_projection_mem_orthogonal EuclideanGeometry.orthogonalProjection_mem_orthogonal theorem orthogonalProjection_vsub_mem_direction {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] {p1 : P} (p2 : P) (hp1 : p1 ∈ s) : ↑(orthogonalProjection s p2 -ᵥ ⟨p1, hp1⟩ : s.direction) ∈ s.direction := (orthogonalProjection s p2 -ᵥ ⟨p1, hp1⟩ : s.direction).2 #align euclidean_geometry.orthogonal_projection_vsub_mem_direction EuclideanGeometry.orthogonalProjection_vsub_mem_direction theorem vsub_orthogonalProjection_mem_direction {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] {p1 : P} (p2 : P) (hp1 : p1 ∈ s) : ↑((⟨p1, hp1⟩ : s) -ᵥ orthogonalProjection s p2 : s.direction) ∈ s.direction := ((⟨p1, hp1⟩ : s) -ᵥ orthogonalProjection s p2 : s.direction).2 #align euclidean_geometry.vsub_orthogonal_projection_mem_direction EuclideanGeometry.vsub_orthogonalProjection_mem_direction
Mathlib/Geometry/Euclidean/Basic.lean
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theorem orthogonalProjection_eq_self_iff {s : AffineSubspace ℝ P} [Nonempty s] [HasOrthogonalProjection s.direction] {p : P} : ↑(orthogonalProjection s p) = p ↔ p ∈ s := by
constructor · exact fun h => h ▸ orthogonalProjection_mem p · intro h have hp : p ∈ (s : Set P) ∩ mk' p s.directionᗮ := ⟨h, self_mem_mk' p _⟩ rw [inter_eq_singleton_orthogonalProjection p] at hp symm exact hp
import Mathlib.FieldTheory.Separable import Mathlib.RingTheory.IntegralDomain import Mathlib.Algebra.CharP.Reduced import Mathlib.Tactic.ApplyFun #align_import field_theory.finite.basic from "leanprover-community/mathlib"@"12a85fac627bea918960da036049d611b1a3ee43" variable {K : Type*} {R : Type*} local notation "q" => Fintype.card K open Finset open scoped Polynomial namespace FiniteField theorem prod_univ_units_id_eq_neg_one [CommRing K] [IsDomain K] [Fintype Kˣ] : ∏ x : Kˣ, x = (-1 : Kˣ) := by classical have : (∏ x ∈ (@univ Kˣ _).erase (-1), x) = 1 := prod_involution (fun x _ => x⁻¹) (by simp) (fun a => by simp (config := { contextual := true }) [Units.inv_eq_self_iff]) (fun a => by simp [@inv_eq_iff_eq_inv _ _ a]) (by simp) rw [← insert_erase (mem_univ (-1 : Kˣ)), prod_insert (not_mem_erase _ _), this, mul_one] #align finite_field.prod_univ_units_id_eq_neg_one FiniteField.prod_univ_units_id_eq_neg_one set_option backward.synthInstance.canonInstances false in -- See https://github.com/leanprover-community/mathlib4/issues/12532 theorem card_cast_subgroup_card_ne_zero [Ring K] [NoZeroDivisors K] [Nontrivial K] (G : Subgroup Kˣ) [Fintype G] : (Fintype.card G : K) ≠ 0 := by let n := Fintype.card G intro nzero have ⟨p, char_p⟩ := CharP.exists K have hd : p ∣ n := (CharP.cast_eq_zero_iff K p n).mp nzero cases CharP.char_is_prime_or_zero K p with | inr pzero => exact (Fintype.card_pos).ne' <| Nat.eq_zero_of_zero_dvd <| pzero ▸ hd | inl pprime => have fact_pprime := Fact.mk pprime -- G has an element x of order p by Cauchy's theorem have ⟨x, hx⟩ := exists_prime_orderOf_dvd_card p hd -- F has an element u (= ↑↑x) of order p let u := ((x : Kˣ) : K) have hu : orderOf u = p := by rwa [orderOf_units, Subgroup.orderOf_coe] -- u ^ p = 1 implies (u - 1) ^ p = 0 and hence u = 1 ... have h : u = 1 := by rw [← sub_left_inj, sub_self 1] apply pow_eq_zero (n := p) rw [sub_pow_char_of_commute, one_pow, ← hu, pow_orderOf_eq_one, sub_self] exact Commute.one_right u -- ... meaning x didn't have order p after all, contradiction apply pprime.one_lt.ne rw [← hu, h, orderOf_one] theorem sum_subgroup_units_eq_zero [Ring K] [NoZeroDivisors K] {G : Subgroup Kˣ} [Fintype G] (hg : G ≠ ⊥) : ∑ x : G, (x.val : K) = 0 := by rw [Subgroup.ne_bot_iff_exists_ne_one] at hg rcases hg with ⟨a, ha⟩ -- The action of a on G as an embedding let a_mul_emb : G ↪ G := mulLeftEmbedding a -- ... and leaves G unchanged have h_unchanged : Finset.univ.map a_mul_emb = Finset.univ := by simp -- Therefore the sum of x over a G is the sum of a x over G have h_sum_map := Finset.univ.sum_map a_mul_emb fun x => ((x : Kˣ) : K) -- ... and the former is the sum of x over G. -- By algebraic manipulation, we have Σ G, x = ∑ G, a x = a ∑ G, x simp only [a_mul_emb, h_unchanged, Function.Embedding.coeFn_mk, Function.Embedding.toFun_eq_coe, mulLeftEmbedding_apply, Submonoid.coe_mul, Subgroup.coe_toSubmonoid, Units.val_mul, ← Finset.mul_sum] at h_sum_map -- thus one of (a - 1) or ∑ G, x is zero have hzero : (((a : Kˣ) : K) - 1) = 0 ∨ ∑ x : ↥G, ((x : Kˣ) : K) = 0 := by rw [← mul_eq_zero, sub_mul, ← h_sum_map, one_mul, sub_self] apply Or.resolve_left hzero contrapose! ha ext rwa [← sub_eq_zero] @[simp] theorem sum_subgroup_units [Ring K] [NoZeroDivisors K] {G : Subgroup Kˣ} [Fintype G] [Decidable (G = ⊥)] : ∑ x : G, (x.val : K) = if G = ⊥ then 1 else 0 := by by_cases G_bot : G = ⊥ · subst G_bot simp only [ite_true, Subgroup.mem_bot, Fintype.card_ofSubsingleton, Nat.cast_ite, Nat.cast_one, Nat.cast_zero, univ_unique, Set.default_coe_singleton, sum_singleton, Units.val_one] · simp only [G_bot, ite_false] exact sum_subgroup_units_eq_zero G_bot @[simp] theorem sum_subgroup_pow_eq_zero [CommRing K] [NoZeroDivisors K] {G : Subgroup Kˣ} [Fintype G] {k : ℕ} (k_pos : k ≠ 0) (k_lt_card_G : k < Fintype.card G) : ∑ x : G, ((x : Kˣ) : K) ^ k = 0 := by nontriviality K have := NoZeroDivisors.to_isDomain K rcases (exists_pow_ne_one_of_isCyclic k_pos k_lt_card_G) with ⟨a, ha⟩ rw [Finset.sum_eq_multiset_sum] have h_multiset_map : Finset.univ.val.map (fun x : G => ((x : Kˣ) : K) ^ k) = Finset.univ.val.map (fun x : G => ((x : Kˣ) : K) ^ k * ((a : Kˣ) : K) ^ k) := by simp_rw [← mul_pow] have as_comp : (fun x : ↥G => (((x : Kˣ) : K) * ((a : Kˣ) : K)) ^ k) = (fun x : ↥G => ((x : Kˣ) : K) ^ k) ∘ fun x : ↥G => x * a := by funext x simp only [Function.comp_apply, Submonoid.coe_mul, Subgroup.coe_toSubmonoid, Units.val_mul] rw [as_comp, ← Multiset.map_map] congr rw [eq_comm] exact Multiset.map_univ_val_equiv (Equiv.mulRight a) have h_multiset_map_sum : (Multiset.map (fun x : G => ((x : Kˣ) : K) ^ k) Finset.univ.val).sum = (Multiset.map (fun x : G => ((x : Kˣ) : K) ^ k * ((a : Kˣ) : K) ^ k) Finset.univ.val).sum := by rw [h_multiset_map] rw [Multiset.sum_map_mul_right] at h_multiset_map_sum have hzero : (((a : Kˣ) : K) ^ k - 1 : K) * (Multiset.map (fun i : G => (i.val : K) ^ k) Finset.univ.val).sum = 0 := by rw [sub_mul, mul_comm, ← h_multiset_map_sum, one_mul, sub_self] rw [mul_eq_zero] at hzero refine hzero.resolve_left fun h => ha ?_ ext rw [← sub_eq_zero] simp_rw [SubmonoidClass.coe_pow, Units.val_pow_eq_pow_val, OneMemClass.coe_one, Units.val_one, h] section variable [GroupWithZero K] [Fintype K] theorem pow_card_sub_one_eq_one (a : K) (ha : a ≠ 0) : a ^ (q - 1) = 1 := by calc a ^ (Fintype.card K - 1) = (Units.mk0 a ha ^ (Fintype.card K - 1) : Kˣ).1 := by rw [Units.val_pow_eq_pow_val, Units.val_mk0] _ = 1 := by classical rw [← Fintype.card_units, pow_card_eq_one] rfl #align finite_field.pow_card_sub_one_eq_one FiniteField.pow_card_sub_one_eq_one theorem pow_card (a : K) : a ^ q = a := by by_cases h : a = 0; · rw [h]; apply zero_pow Fintype.card_ne_zero rw [← Nat.succ_pred_eq_of_pos Fintype.card_pos, pow_succ, Nat.pred_eq_sub_one, pow_card_sub_one_eq_one a h, one_mul] #align finite_field.pow_card FiniteField.pow_card theorem pow_card_pow (n : ℕ) (a : K) : a ^ q ^ n = a := by induction' n with n ih · simp · simp [pow_succ, pow_mul, ih, pow_card] #align finite_field.pow_card_pow FiniteField.pow_card_pow end variable (K) [Field K] [Fintype K] theorem card (p : ℕ) [CharP K p] : ∃ n : ℕ+, Nat.Prime p ∧ q = p ^ (n : ℕ) := by haveI hp : Fact p.Prime := ⟨CharP.char_is_prime K p⟩ letI : Module (ZMod p) K := { (ZMod.castHom dvd_rfl K : ZMod p →+* _).toModule with } obtain ⟨n, h⟩ := VectorSpace.card_fintype (ZMod p) K rw [ZMod.card] at h refine ⟨⟨n, ?_⟩, hp.1, h⟩ apply Or.resolve_left (Nat.eq_zero_or_pos n) rintro rfl rw [pow_zero] at h have : (0 : K) = 1 := by apply Fintype.card_le_one_iff.mp (le_of_eq h) exact absurd this zero_ne_one #align finite_field.card FiniteField.card -- this statement doesn't use `q` because we want `K` to be an explicit parameter theorem card' : ∃ (p : ℕ) (n : ℕ+), Nat.Prime p ∧ Fintype.card K = p ^ (n : ℕ) := let ⟨p, hc⟩ := CharP.exists K ⟨p, @FiniteField.card K _ _ p hc⟩ #align finite_field.card' FiniteField.card' -- Porting note: this was a `simp` lemma with a 5 lines proof. theorem cast_card_eq_zero : (q : K) = 0 := by simp #align finite_field.cast_card_eq_zero FiniteField.cast_card_eq_zero theorem forall_pow_eq_one_iff (i : ℕ) : (∀ x : Kˣ, x ^ i = 1) ↔ q - 1 ∣ i := by classical obtain ⟨x, hx⟩ := IsCyclic.exists_generator (α := Kˣ) rw [← Fintype.card_units, ← orderOf_eq_card_of_forall_mem_zpowers hx, orderOf_dvd_iff_pow_eq_one] constructor · intro h; apply h · intro h y simp_rw [← mem_powers_iff_mem_zpowers] at hx rcases hx y with ⟨j, rfl⟩ rw [← pow_mul, mul_comm, pow_mul, h, one_pow] #align finite_field.forall_pow_eq_one_iff FiniteField.forall_pow_eq_one_iff theorem sum_pow_units [DecidableEq K] (i : ℕ) : (∑ x : Kˣ, (x ^ i : K)) = if q - 1 ∣ i then -1 else 0 := by let φ : Kˣ →* K := { toFun := fun x => x ^ i map_one' := by simp map_mul' := by intros; simp [mul_pow] } have : Decidable (φ = 1) := by classical infer_instance calc (∑ x : Kˣ, φ x) = if φ = 1 then Fintype.card Kˣ else 0 := sum_hom_units φ _ = if q - 1 ∣ i then -1 else 0 := by suffices q - 1 ∣ i ↔ φ = 1 by simp only [this] split_ifs; swap · exact Nat.cast_zero · rw [Fintype.card_units, Nat.cast_sub, cast_card_eq_zero, Nat.cast_one, zero_sub] show 1 ≤ q; exact Fintype.card_pos_iff.mpr ⟨0⟩ rw [← forall_pow_eq_one_iff, DFunLike.ext_iff] apply forall_congr'; intro x; simp [φ, Units.ext_iff] #align finite_field.sum_pow_units FiniteField.sum_pow_units theorem sum_pow_lt_card_sub_one (i : ℕ) (h : i < q - 1) : ∑ x : K, x ^ i = 0 := by by_cases hi : i = 0 · simp only [hi, nsmul_one, sum_const, pow_zero, card_univ, cast_card_eq_zero] classical have hiq : ¬q - 1 ∣ i := by contrapose! h; exact Nat.le_of_dvd (Nat.pos_of_ne_zero hi) h let φ : Kˣ ↪ K := ⟨fun x ↦ x, Units.ext⟩ have : univ.map φ = univ \ {0} := by ext x simpa only [mem_map, mem_univ, Function.Embedding.coeFn_mk, true_and_iff, mem_sdiff, mem_singleton, φ] using isUnit_iff_ne_zero calc ∑ x : K, x ^ i = ∑ x ∈ univ \ {(0 : K)}, x ^ i := by rw [← sum_sdiff ({0} : Finset K).subset_univ, sum_singleton, zero_pow hi, add_zero] _ = ∑ x : Kˣ, (x ^ i : K) := by simp [φ, ← this, univ.sum_map φ] _ = 0 := by rw [sum_pow_units K i, if_neg]; exact hiq #align finite_field.sum_pow_lt_card_sub_one FiniteField.sum_pow_lt_card_sub_one open Polynomial section variable (K' : Type*) [Field K'] {p n : ℕ} theorem X_pow_card_sub_X_natDegree_eq (hp : 1 < p) : (X ^ p - X : K'[X]).natDegree = p := by have h1 : (X : K'[X]).degree < (X ^ p : K'[X]).degree := by rw [degree_X_pow, degree_X] exact mod_cast hp rw [natDegree_eq_of_degree_eq (degree_sub_eq_left_of_degree_lt h1), natDegree_X_pow] set_option linter.uppercaseLean3 false in #align finite_field.X_pow_card_sub_X_nat_degree_eq FiniteField.X_pow_card_sub_X_natDegree_eq theorem X_pow_card_pow_sub_X_natDegree_eq (hn : n ≠ 0) (hp : 1 < p) : (X ^ p ^ n - X : K'[X]).natDegree = p ^ n := X_pow_card_sub_X_natDegree_eq K' <| Nat.one_lt_pow hn hp set_option linter.uppercaseLean3 false in #align finite_field.X_pow_card_pow_sub_X_nat_degree_eq FiniteField.X_pow_card_pow_sub_X_natDegree_eq theorem X_pow_card_sub_X_ne_zero (hp : 1 < p) : (X ^ p - X : K'[X]) ≠ 0 := ne_zero_of_natDegree_gt <| calc 1 < _ := hp _ = _ := (X_pow_card_sub_X_natDegree_eq K' hp).symm set_option linter.uppercaseLean3 false in #align finite_field.X_pow_card_sub_X_ne_zero FiniteField.X_pow_card_sub_X_ne_zero theorem X_pow_card_pow_sub_X_ne_zero (hn : n ≠ 0) (hp : 1 < p) : (X ^ p ^ n - X : K'[X]) ≠ 0 := X_pow_card_sub_X_ne_zero K' <| Nat.one_lt_pow hn hp set_option linter.uppercaseLean3 false in #align finite_field.X_pow_card_pow_sub_X_ne_zero FiniteField.X_pow_card_pow_sub_X_ne_zero end variable (p : ℕ) [Fact p.Prime] [Algebra (ZMod p) K] theorem roots_X_pow_card_sub_X : roots (X ^ q - X : K[X]) = Finset.univ.val := by classical have aux : (X ^ q - X : K[X]) ≠ 0 := X_pow_card_sub_X_ne_zero K Fintype.one_lt_card have : (roots (X ^ q - X : K[X])).toFinset = Finset.univ := by rw [eq_univ_iff_forall] intro x rw [Multiset.mem_toFinset, mem_roots aux, IsRoot.def, eval_sub, eval_pow, eval_X, sub_eq_zero, pow_card] rw [← this, Multiset.toFinset_val, eq_comm, Multiset.dedup_eq_self] apply nodup_roots rw [separable_def] convert isCoprime_one_right.neg_right (R := K[X]) using 1 rw [derivative_sub, derivative_X, derivative_X_pow, Nat.cast_card_eq_zero K, C_0, zero_mul, zero_sub] set_option linter.uppercaseLean3 false in #align finite_field.roots_X_pow_card_sub_X FiniteField.roots_X_pow_card_sub_X variable {K}
Mathlib/FieldTheory/Finite/Basic.lean
376
382
theorem frobenius_pow {p : ℕ} [Fact p.Prime] [CharP K p] {n : ℕ} (hcard : q = p ^ n) : frobenius K p ^ n = 1 := by
ext x; conv_rhs => rw [RingHom.one_def, RingHom.id_apply, ← pow_card x, hcard] clear hcard induction' n with n hn · simp · rw [pow_succ', pow_succ, pow_mul, RingHom.mul_def, RingHom.comp_apply, frobenius_def, hn]
import Mathlib.Algebra.Order.Ring.WithTop import Mathlib.Algebra.Order.Sub.WithTop import Mathlib.Data.Real.NNReal import Mathlib.Order.Interval.Set.WithBotTop #align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520" open Function Set NNReal variable {α : Type*} def ENNReal := WithTop ℝ≥0 deriving Zero, AddCommMonoidWithOne, SemilatticeSup, DistribLattice, Nontrivial #align ennreal ENNReal @[inherit_doc] scoped[ENNReal] notation "ℝ≥0∞" => ENNReal scoped[ENNReal] notation "∞" => (⊤ : ENNReal) namespace ENNReal instance : OrderBot ℝ≥0∞ := inferInstanceAs (OrderBot (WithTop ℝ≥0)) instance : BoundedOrder ℝ≥0∞ := inferInstanceAs (BoundedOrder (WithTop ℝ≥0)) instance : CharZero ℝ≥0∞ := inferInstanceAs (CharZero (WithTop ℝ≥0)) noncomputable instance : CanonicallyOrderedCommSemiring ℝ≥0∞ := inferInstanceAs (CanonicallyOrderedCommSemiring (WithTop ℝ≥0)) noncomputable instance : CompleteLinearOrder ℝ≥0∞ := inferInstanceAs (CompleteLinearOrder (WithTop ℝ≥0)) instance : DenselyOrdered ℝ≥0∞ := inferInstanceAs (DenselyOrdered (WithTop ℝ≥0)) noncomputable instance : CanonicallyLinearOrderedAddCommMonoid ℝ≥0∞ := inferInstanceAs (CanonicallyLinearOrderedAddCommMonoid (WithTop ℝ≥0)) noncomputable instance instSub : Sub ℝ≥0∞ := inferInstanceAs (Sub (WithTop ℝ≥0)) noncomputable instance : OrderedSub ℝ≥0∞ := inferInstanceAs (OrderedSub (WithTop ℝ≥0)) noncomputable instance : LinearOrderedAddCommMonoidWithTop ℝ≥0∞ := inferInstanceAs (LinearOrderedAddCommMonoidWithTop (WithTop ℝ≥0)) -- Porting note: rfc: redefine using pattern matching? noncomputable instance : Inv ℝ≥0∞ := ⟨fun a => sInf { b | 1 ≤ a * b }⟩ noncomputable instance : DivInvMonoid ℝ≥0∞ where variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0} -- Porting note: are these 2 instances still required in Lean 4? instance covariantClass_mul_le : CovariantClass ℝ≥0∞ ℝ≥0∞ (· * ·) (· ≤ ·) := inferInstance #align ennreal.covariant_class_mul_le ENNReal.covariantClass_mul_le instance covariantClass_add_le : CovariantClass ℝ≥0∞ ℝ≥0∞ (· + ·) (· ≤ ·) := inferInstance #align ennreal.covariant_class_add_le ENNReal.covariantClass_add_le -- Porting note (#11215): TODO: add a `WithTop` instance and use it here noncomputable instance : LinearOrderedCommMonoidWithZero ℝ≥0∞ := { inferInstanceAs (LinearOrderedAddCommMonoidWithTop ℝ≥0∞), inferInstanceAs (CommSemiring ℝ≥0∞) with mul_le_mul_left := fun _ _ => mul_le_mul_left' zero_le_one := zero_le 1 } noncomputable instance : Unique (AddUnits ℝ≥0∞) where default := 0 uniq a := AddUnits.ext <| le_zero_iff.1 <| by rw [← a.add_neg]; exact le_self_add instance : Inhabited ℝ≥0∞ := ⟨0⟩ @[coe, match_pattern] def ofNNReal : ℝ≥0 → ℝ≥0∞ := WithTop.some instance : Coe ℝ≥0 ℝ≥0∞ := ⟨ofNNReal⟩ @[elab_as_elim, induction_eliminator, cases_eliminator] def recTopCoe {C : ℝ≥0∞ → Sort*} (top : C ∞) (coe : ∀ x : ℝ≥0, C x) (x : ℝ≥0∞) : C x := WithTop.recTopCoe top coe x instance canLift : CanLift ℝ≥0∞ ℝ≥0 ofNNReal (· ≠ ∞) := WithTop.canLift #align ennreal.can_lift ENNReal.canLift @[simp] theorem none_eq_top : (none : ℝ≥0∞) = ∞ := rfl #align ennreal.none_eq_top ENNReal.none_eq_top @[simp] theorem some_eq_coe (a : ℝ≥0) : (Option.some a : ℝ≥0∞) = (↑a : ℝ≥0∞) := rfl #align ennreal.some_eq_coe ENNReal.some_eq_coe @[simp] theorem some_eq_coe' (a : ℝ≥0) : (WithTop.some a : ℝ≥0∞) = (↑a : ℝ≥0∞) := rfl lemma coe_injective : Injective ((↑) : ℝ≥0 → ℝ≥0∞) := WithTop.coe_injective @[simp, norm_cast] lemma coe_inj : (p : ℝ≥0∞) = q ↔ p = q := coe_injective.eq_iff #align ennreal.coe_eq_coe ENNReal.coe_inj lemma coe_ne_coe : (p : ℝ≥0∞) ≠ q ↔ p ≠ q := coe_inj.not theorem range_coe' : range ofNNReal = Iio ∞ := WithTop.range_coe theorem range_coe : range ofNNReal = {∞}ᶜ := (isCompl_range_some_none ℝ≥0).symm.compl_eq.symm protected def toNNReal : ℝ≥0∞ → ℝ≥0 := WithTop.untop' 0 #align ennreal.to_nnreal ENNReal.toNNReal protected def toReal (a : ℝ≥0∞) : Real := a.toNNReal #align ennreal.to_real ENNReal.toReal protected noncomputable def ofReal (r : Real) : ℝ≥0∞ := r.toNNReal #align ennreal.of_real ENNReal.ofReal @[simp, norm_cast] theorem toNNReal_coe : (r : ℝ≥0∞).toNNReal = r := rfl #align ennreal.to_nnreal_coe ENNReal.toNNReal_coe @[simp] theorem coe_toNNReal : ∀ {a : ℝ≥0∞}, a ≠ ∞ → ↑a.toNNReal = a | ofNNReal _, _ => rfl | ⊤, h => (h rfl).elim #align ennreal.coe_to_nnreal ENNReal.coe_toNNReal @[simp] theorem ofReal_toReal {a : ℝ≥0∞} (h : a ≠ ∞) : ENNReal.ofReal a.toReal = a := by simp [ENNReal.toReal, ENNReal.ofReal, h] #align ennreal.of_real_to_real ENNReal.ofReal_toReal @[simp] theorem toReal_ofReal {r : ℝ} (h : 0 ≤ r) : (ENNReal.ofReal r).toReal = r := max_eq_left h #align ennreal.to_real_of_real ENNReal.toReal_ofReal theorem toReal_ofReal' {r : ℝ} : (ENNReal.ofReal r).toReal = max r 0 := rfl #align ennreal.to_real_of_real' ENNReal.toReal_ofReal' theorem coe_toNNReal_le_self : ∀ {a : ℝ≥0∞}, ↑a.toNNReal ≤ a | ofNNReal r => by rw [toNNReal_coe] | ⊤ => le_top #align ennreal.coe_to_nnreal_le_self ENNReal.coe_toNNReal_le_self theorem coe_nnreal_eq (r : ℝ≥0) : (r : ℝ≥0∞) = ENNReal.ofReal r := by rw [ENNReal.ofReal, Real.toNNReal_coe] #align ennreal.coe_nnreal_eq ENNReal.coe_nnreal_eq theorem ofReal_eq_coe_nnreal {x : ℝ} (h : 0 ≤ x) : ENNReal.ofReal x = ofNNReal ⟨x, h⟩ := (coe_nnreal_eq ⟨x, h⟩).symm #align ennreal.of_real_eq_coe_nnreal ENNReal.ofReal_eq_coe_nnreal @[simp] theorem ofReal_coe_nnreal : ENNReal.ofReal p = p := (coe_nnreal_eq p).symm #align ennreal.of_real_coe_nnreal ENNReal.ofReal_coe_nnreal @[simp, norm_cast] theorem coe_zero : ↑(0 : ℝ≥0) = (0 : ℝ≥0∞) := rfl #align ennreal.coe_zero ENNReal.coe_zero @[simp, norm_cast] theorem coe_one : ↑(1 : ℝ≥0) = (1 : ℝ≥0∞) := rfl #align ennreal.coe_one ENNReal.coe_one @[simp] theorem toReal_nonneg {a : ℝ≥0∞} : 0 ≤ a.toReal := a.toNNReal.2 #align ennreal.to_real_nonneg ENNReal.toReal_nonneg @[simp] theorem top_toNNReal : ∞.toNNReal = 0 := rfl #align ennreal.top_to_nnreal ENNReal.top_toNNReal @[simp] theorem top_toReal : ∞.toReal = 0 := rfl #align ennreal.top_to_real ENNReal.top_toReal @[simp] theorem one_toReal : (1 : ℝ≥0∞).toReal = 1 := rfl #align ennreal.one_to_real ENNReal.one_toReal @[simp] theorem one_toNNReal : (1 : ℝ≥0∞).toNNReal = 1 := rfl #align ennreal.one_to_nnreal ENNReal.one_toNNReal @[simp] theorem coe_toReal (r : ℝ≥0) : (r : ℝ≥0∞).toReal = r := rfl #align ennreal.coe_to_real ENNReal.coe_toReal @[simp] theorem zero_toNNReal : (0 : ℝ≥0∞).toNNReal = 0 := rfl #align ennreal.zero_to_nnreal ENNReal.zero_toNNReal @[simp] theorem zero_toReal : (0 : ℝ≥0∞).toReal = 0 := rfl #align ennreal.zero_to_real ENNReal.zero_toReal @[simp] theorem ofReal_zero : ENNReal.ofReal (0 : ℝ) = 0 := by simp [ENNReal.ofReal] #align ennreal.of_real_zero ENNReal.ofReal_zero @[simp] theorem ofReal_one : ENNReal.ofReal (1 : ℝ) = (1 : ℝ≥0∞) := by simp [ENNReal.ofReal] #align ennreal.of_real_one ENNReal.ofReal_one theorem ofReal_toReal_le {a : ℝ≥0∞} : ENNReal.ofReal a.toReal ≤ a := if ha : a = ∞ then ha.symm ▸ le_top else le_of_eq (ofReal_toReal ha) #align ennreal.of_real_to_real_le ENNReal.ofReal_toReal_le theorem forall_ennreal {p : ℝ≥0∞ → Prop} : (∀ a, p a) ↔ (∀ r : ℝ≥0, p r) ∧ p ∞ := Option.forall.trans and_comm #align ennreal.forall_ennreal ENNReal.forall_ennreal theorem forall_ne_top {p : ℝ≥0∞ → Prop} : (∀ a, a ≠ ∞ → p a) ↔ ∀ r : ℝ≥0, p r := Option.ball_ne_none #align ennreal.forall_ne_top ENNReal.forall_ne_top theorem exists_ne_top {p : ℝ≥0∞ → Prop} : (∃ a ≠ ∞, p a) ↔ ∃ r : ℝ≥0, p r := Option.exists_ne_none #align ennreal.exists_ne_top ENNReal.exists_ne_top theorem toNNReal_eq_zero_iff (x : ℝ≥0∞) : x.toNNReal = 0 ↔ x = 0 ∨ x = ∞ := WithTop.untop'_eq_self_iff #align ennreal.to_nnreal_eq_zero_iff ENNReal.toNNReal_eq_zero_iff theorem toReal_eq_zero_iff (x : ℝ≥0∞) : x.toReal = 0 ↔ x = 0 ∨ x = ∞ := by simp [ENNReal.toReal, toNNReal_eq_zero_iff] #align ennreal.to_real_eq_zero_iff ENNReal.toReal_eq_zero_iff theorem toNNReal_ne_zero : a.toNNReal ≠ 0 ↔ a ≠ 0 ∧ a ≠ ∞ := a.toNNReal_eq_zero_iff.not.trans not_or #align ennreal.to_nnreal_ne_zero ENNReal.toNNReal_ne_zero theorem toReal_ne_zero : a.toReal ≠ 0 ↔ a ≠ 0 ∧ a ≠ ∞ := a.toReal_eq_zero_iff.not.trans not_or #align ennreal.to_real_ne_zero ENNReal.toReal_ne_zero theorem toNNReal_eq_one_iff (x : ℝ≥0∞) : x.toNNReal = 1 ↔ x = 1 := WithTop.untop'_eq_iff.trans <| by simp #align ennreal.to_nnreal_eq_one_iff ENNReal.toNNReal_eq_one_iff theorem toReal_eq_one_iff (x : ℝ≥0∞) : x.toReal = 1 ↔ x = 1 := by rw [ENNReal.toReal, NNReal.coe_eq_one, ENNReal.toNNReal_eq_one_iff] #align ennreal.to_real_eq_one_iff ENNReal.toReal_eq_one_iff theorem toNNReal_ne_one : a.toNNReal ≠ 1 ↔ a ≠ 1 := a.toNNReal_eq_one_iff.not #align ennreal.to_nnreal_ne_one ENNReal.toNNReal_ne_one theorem toReal_ne_one : a.toReal ≠ 1 ↔ a ≠ 1 := a.toReal_eq_one_iff.not #align ennreal.to_real_ne_one ENNReal.toReal_ne_one @[simp] theorem coe_ne_top : (r : ℝ≥0∞) ≠ ∞ := WithTop.coe_ne_top #align ennreal.coe_ne_top ENNReal.coe_ne_top @[simp] theorem top_ne_coe : ∞ ≠ (r : ℝ≥0∞) := WithTop.top_ne_coe #align ennreal.top_ne_coe ENNReal.top_ne_coe @[simp] theorem coe_lt_top : (r : ℝ≥0∞) < ∞ := WithTop.coe_lt_top r #align ennreal.coe_lt_top ENNReal.coe_lt_top @[simp] theorem ofReal_ne_top {r : ℝ} : ENNReal.ofReal r ≠ ∞ := coe_ne_top #align ennreal.of_real_ne_top ENNReal.ofReal_ne_top @[simp] theorem ofReal_lt_top {r : ℝ} : ENNReal.ofReal r < ∞ := coe_lt_top #align ennreal.of_real_lt_top ENNReal.ofReal_lt_top @[simp] theorem top_ne_ofReal {r : ℝ} : ∞ ≠ ENNReal.ofReal r := top_ne_coe #align ennreal.top_ne_of_real ENNReal.top_ne_ofReal @[simp] theorem ofReal_toReal_eq_iff : ENNReal.ofReal a.toReal = a ↔ a ≠ ⊤ := ⟨fun h => by rw [← h] exact ofReal_ne_top, ofReal_toReal⟩ #align ennreal.of_real_to_real_eq_iff ENNReal.ofReal_toReal_eq_iff @[simp] theorem toReal_ofReal_eq_iff {a : ℝ} : (ENNReal.ofReal a).toReal = a ↔ 0 ≤ a := ⟨fun h => by rw [← h] exact toReal_nonneg, toReal_ofReal⟩ #align ennreal.to_real_of_real_eq_iff ENNReal.toReal_ofReal_eq_iff @[simp] theorem zero_ne_top : 0 ≠ ∞ := coe_ne_top #align ennreal.zero_ne_top ENNReal.zero_ne_top @[simp] theorem top_ne_zero : ∞ ≠ 0 := top_ne_coe #align ennreal.top_ne_zero ENNReal.top_ne_zero @[simp] theorem one_ne_top : 1 ≠ ∞ := coe_ne_top #align ennreal.one_ne_top ENNReal.one_ne_top @[simp] theorem top_ne_one : ∞ ≠ 1 := top_ne_coe #align ennreal.top_ne_one ENNReal.top_ne_one @[simp] theorem zero_lt_top : 0 < ∞ := coe_lt_top @[simp, norm_cast] theorem coe_le_coe : (↑r : ℝ≥0∞) ≤ ↑q ↔ r ≤ q := WithTop.coe_le_coe #align ennreal.coe_le_coe ENNReal.coe_le_coe @[simp, norm_cast] theorem coe_lt_coe : (↑r : ℝ≥0∞) < ↑q ↔ r < q := WithTop.coe_lt_coe #align ennreal.coe_lt_coe ENNReal.coe_lt_coe -- Needed until `@[gcongr]` accepts iff statements alias ⟨_, coe_le_coe_of_le⟩ := coe_le_coe attribute [gcongr] ENNReal.coe_le_coe_of_le -- Needed until `@[gcongr]` accepts iff statements alias ⟨_, coe_lt_coe_of_lt⟩ := coe_lt_coe attribute [gcongr] ENNReal.coe_lt_coe_of_lt theorem coe_mono : Monotone ofNNReal := fun _ _ => coe_le_coe.2 #align ennreal.coe_mono ENNReal.coe_mono theorem coe_strictMono : StrictMono ofNNReal := fun _ _ => coe_lt_coe.2 @[simp, norm_cast] theorem coe_eq_zero : (↑r : ℝ≥0∞) = 0 ↔ r = 0 := coe_inj #align ennreal.coe_eq_zero ENNReal.coe_eq_zero @[simp, norm_cast] theorem zero_eq_coe : 0 = (↑r : ℝ≥0∞) ↔ 0 = r := coe_inj #align ennreal.zero_eq_coe ENNReal.zero_eq_coe @[simp, norm_cast] theorem coe_eq_one : (↑r : ℝ≥0∞) = 1 ↔ r = 1 := coe_inj #align ennreal.coe_eq_one ENNReal.coe_eq_one @[simp, norm_cast] theorem one_eq_coe : 1 = (↑r : ℝ≥0∞) ↔ 1 = r := coe_inj #align ennreal.one_eq_coe ENNReal.one_eq_coe @[simp, norm_cast] theorem coe_pos : 0 < (r : ℝ≥0∞) ↔ 0 < r := coe_lt_coe #align ennreal.coe_pos ENNReal.coe_pos theorem coe_ne_zero : (r : ℝ≥0∞) ≠ 0 ↔ r ≠ 0 := coe_eq_zero.not #align ennreal.coe_ne_zero ENNReal.coe_ne_zero lemma coe_ne_one : (r : ℝ≥0∞) ≠ 1 ↔ r ≠ 1 := coe_eq_one.not @[simp, norm_cast] lemma coe_add (x y : ℝ≥0) : (↑(x + y) : ℝ≥0∞) = x + y := rfl #align ennreal.coe_add ENNReal.coe_add @[simp, norm_cast] lemma coe_mul (x y : ℝ≥0) : (↑(x * y) : ℝ≥0∞) = x * y := rfl #align ennreal.coe_mul ENNReal.coe_mul @[norm_cast] lemma coe_nsmul (n : ℕ) (x : ℝ≥0) : (↑(n • x) : ℝ≥0∞) = n • x := rfl @[simp, norm_cast] lemma coe_pow (x : ℝ≥0) (n : ℕ) : (↑(x ^ n) : ℝ≥0∞) = x ^ n := rfl #noalign ennreal.coe_bit0 #noalign ennreal.coe_bit1 -- See note [no_index around OfNat.ofNat] @[simp, norm_cast] -- Porting note (#10756): new theorem theorem coe_ofNat (n : ℕ) [n.AtLeastTwo] : ((no_index (OfNat.ofNat n) : ℝ≥0) : ℝ≥0∞) = OfNat.ofNat n := rfl -- Porting note (#11215): TODO: add lemmas about `OfNat.ofNat` and `<`/`≤` theorem coe_two : ((2 : ℝ≥0) : ℝ≥0∞) = 2 := rfl #align ennreal.coe_two ENNReal.coe_two theorem toNNReal_eq_toNNReal_iff (x y : ℝ≥0∞) : x.toNNReal = y.toNNReal ↔ x = y ∨ x = 0 ∧ y = ⊤ ∨ x = ⊤ ∧ y = 0 := WithTop.untop'_eq_untop'_iff #align ennreal.to_nnreal_eq_to_nnreal_iff ENNReal.toNNReal_eq_toNNReal_iff theorem toReal_eq_toReal_iff (x y : ℝ≥0∞) : x.toReal = y.toReal ↔ x = y ∨ x = 0 ∧ y = ⊤ ∨ x = ⊤ ∧ y = 0 := by simp only [ENNReal.toReal, NNReal.coe_inj, toNNReal_eq_toNNReal_iff] #align ennreal.to_real_eq_to_real_iff ENNReal.toReal_eq_toReal_iff theorem toNNReal_eq_toNNReal_iff' {x y : ℝ≥0∞} (hx : x ≠ ⊤) (hy : y ≠ ⊤) : x.toNNReal = y.toNNReal ↔ x = y := by simp only [ENNReal.toNNReal_eq_toNNReal_iff x y, hx, hy, and_false, false_and, or_false] #align ennreal.to_nnreal_eq_to_nnreal_iff' ENNReal.toNNReal_eq_toNNReal_iff' theorem toReal_eq_toReal_iff' {x y : ℝ≥0∞} (hx : x ≠ ⊤) (hy : y ≠ ⊤) : x.toReal = y.toReal ↔ x = y := by simp only [ENNReal.toReal, NNReal.coe_inj, toNNReal_eq_toNNReal_iff' hx hy] #align ennreal.to_real_eq_to_real_iff' ENNReal.toReal_eq_toReal_iff' theorem one_lt_two : (1 : ℝ≥0∞) < 2 := Nat.one_lt_ofNat #align ennreal.one_lt_two ENNReal.one_lt_two @[simp] theorem two_ne_top : (2 : ℝ≥0∞) ≠ ∞ := coe_ne_top #align ennreal.two_ne_top ENNReal.two_ne_top @[simp] theorem two_lt_top : (2 : ℝ≥0∞) < ∞ := coe_lt_top instance _root_.fact_one_le_one_ennreal : Fact ((1 : ℝ≥0∞) ≤ 1) := ⟨le_rfl⟩ #align fact_one_le_one_ennreal fact_one_le_one_ennreal instance _root_.fact_one_le_two_ennreal : Fact ((1 : ℝ≥0∞) ≤ 2) := ⟨one_le_two⟩ #align fact_one_le_two_ennreal fact_one_le_two_ennreal instance _root_.fact_one_le_top_ennreal : Fact ((1 : ℝ≥0∞) ≤ ∞) := ⟨le_top⟩ #align fact_one_le_top_ennreal fact_one_le_top_ennreal def neTopEquivNNReal : { a | a ≠ ∞ } ≃ ℝ≥0 where toFun x := ENNReal.toNNReal x invFun x := ⟨x, coe_ne_top⟩ left_inv := fun x => Subtype.eq <| coe_toNNReal x.2 right_inv _ := toNNReal_coe #align ennreal.ne_top_equiv_nnreal ENNReal.neTopEquivNNReal theorem cinfi_ne_top [InfSet α] (f : ℝ≥0∞ → α) : ⨅ x : { x // x ≠ ∞ }, f x = ⨅ x : ℝ≥0, f x := Eq.symm <| neTopEquivNNReal.symm.surjective.iInf_congr _ fun _ => rfl #align ennreal.cinfi_ne_top ENNReal.cinfi_ne_top theorem iInf_ne_top [CompleteLattice α] (f : ℝ≥0∞ → α) : ⨅ (x) (_ : x ≠ ∞), f x = ⨅ x : ℝ≥0, f x := by rw [iInf_subtype', cinfi_ne_top] #align ennreal.infi_ne_top ENNReal.iInf_ne_top theorem csupr_ne_top [SupSet α] (f : ℝ≥0∞ → α) : ⨆ x : { x // x ≠ ∞ }, f x = ⨆ x : ℝ≥0, f x := @cinfi_ne_top αᵒᵈ _ _ #align ennreal.csupr_ne_top ENNReal.csupr_ne_top theorem iSup_ne_top [CompleteLattice α] (f : ℝ≥0∞ → α) : ⨆ (x) (_ : x ≠ ∞), f x = ⨆ x : ℝ≥0, f x := @iInf_ne_top αᵒᵈ _ _ #align ennreal.supr_ne_top ENNReal.iSup_ne_top theorem iInf_ennreal {α : Type*} [CompleteLattice α] {f : ℝ≥0∞ → α} : ⨅ n, f n = (⨅ n : ℝ≥0, f n) ⊓ f ∞ := (iInf_option f).trans (inf_comm _ _) #align ennreal.infi_ennreal ENNReal.iInf_ennreal theorem iSup_ennreal {α : Type*} [CompleteLattice α] {f : ℝ≥0∞ → α} : ⨆ n, f n = (⨆ n : ℝ≥0, f n) ⊔ f ∞ := @iInf_ennreal αᵒᵈ _ _ #align ennreal.supr_ennreal ENNReal.iSup_ennreal def ofNNRealHom : ℝ≥0 →+* ℝ≥0∞ where toFun := some map_one' := coe_one map_mul' _ _ := coe_mul _ _ map_zero' := coe_zero map_add' _ _ := coe_add _ _ #align ennreal.of_nnreal_hom ENNReal.ofNNRealHom @[simp] theorem coe_ofNNRealHom : ⇑ofNNRealHom = some := rfl #align ennreal.coe_of_nnreal_hom ENNReal.coe_ofNNRealHom @[simp, norm_cast] theorem coe_indicator {α} (s : Set α) (f : α → ℝ≥0) (a : α) : ((s.indicator f a : ℝ≥0) : ℝ≥0∞) = s.indicator (fun x => ↑(f x)) a := (ofNNRealHom : ℝ≥0 →+ ℝ≥0∞).map_indicator _ _ _ #align ennreal.coe_indicator ENNReal.coe_indicator section Order theorem bot_eq_zero : (⊥ : ℝ≥0∞) = 0 := rfl #align ennreal.bot_eq_zero ENNReal.bot_eq_zero -- `coe_lt_top` moved up theorem not_top_le_coe : ¬∞ ≤ ↑r := WithTop.not_top_le_coe r #align ennreal.not_top_le_coe ENNReal.not_top_le_coe @[simp, norm_cast] theorem one_le_coe_iff : (1 : ℝ≥0∞) ≤ ↑r ↔ 1 ≤ r := coe_le_coe #align ennreal.one_le_coe_iff ENNReal.one_le_coe_iff @[simp, norm_cast] theorem coe_le_one_iff : ↑r ≤ (1 : ℝ≥0∞) ↔ r ≤ 1 := coe_le_coe #align ennreal.coe_le_one_iff ENNReal.coe_le_one_iff @[simp, norm_cast] theorem coe_lt_one_iff : (↑p : ℝ≥0∞) < 1 ↔ p < 1 := coe_lt_coe #align ennreal.coe_lt_one_iff ENNReal.coe_lt_one_iff @[simp, norm_cast] theorem one_lt_coe_iff : 1 < (↑p : ℝ≥0∞) ↔ 1 < p := coe_lt_coe #align ennreal.one_lt_coe_iff ENNReal.one_lt_coe_iff @[simp, norm_cast] theorem coe_natCast (n : ℕ) : ((n : ℝ≥0) : ℝ≥0∞) = n := rfl #align ennreal.coe_nat ENNReal.coe_natCast @[simp, norm_cast] lemma ofReal_natCast (n : ℕ) : ENNReal.ofReal n = n := by simp [ENNReal.ofReal] #align ennreal.of_real_coe_nat ENNReal.ofReal_natCast -- See note [no_index around OfNat.ofNat] @[simp] theorem ofReal_ofNat (n : ℕ) [n.AtLeastTwo] : ENNReal.ofReal (no_index (OfNat.ofNat n)) = OfNat.ofNat n := ofReal_natCast n @[simp] theorem natCast_ne_top (n : ℕ) : (n : ℝ≥0∞) ≠ ∞ := WithTop.natCast_ne_top n #align ennreal.nat_ne_top ENNReal.natCast_ne_top @[simp] theorem top_ne_natCast (n : ℕ) : ∞ ≠ n := WithTop.top_ne_natCast n #align ennreal.top_ne_nat ENNReal.top_ne_natCast @[simp] theorem one_lt_top : 1 < ∞ := coe_lt_top #align ennreal.one_lt_top ENNReal.one_lt_top @[simp, norm_cast] theorem toNNReal_nat (n : ℕ) : (n : ℝ≥0∞).toNNReal = n := by rw [← ENNReal.coe_natCast n, ENNReal.toNNReal_coe] #align ennreal.to_nnreal_nat ENNReal.toNNReal_nat @[simp, norm_cast] theorem toReal_nat (n : ℕ) : (n : ℝ≥0∞).toReal = n := by rw [← ENNReal.ofReal_natCast n, ENNReal.toReal_ofReal (Nat.cast_nonneg _)] #align ennreal.to_real_nat ENNReal.toReal_nat -- See note [no_index around OfNat.ofNat] @[simp] theorem toReal_ofNat (n : ℕ) [n.AtLeastTwo] : ENNReal.toReal (no_index (OfNat.ofNat n)) = OfNat.ofNat n := toReal_nat n theorem le_coe_iff : a ≤ ↑r ↔ ∃ p : ℝ≥0, a = p ∧ p ≤ r := WithTop.le_coe_iff #align ennreal.le_coe_iff ENNReal.le_coe_iff theorem coe_le_iff : ↑r ≤ a ↔ ∀ p : ℝ≥0, a = p → r ≤ p := WithTop.coe_le_iff #align ennreal.coe_le_iff ENNReal.coe_le_iff theorem lt_iff_exists_coe : a < b ↔ ∃ p : ℝ≥0, a = p ∧ ↑p < b := WithTop.lt_iff_exists_coe #align ennreal.lt_iff_exists_coe ENNReal.lt_iff_exists_coe theorem toReal_le_coe_of_le_coe {a : ℝ≥0∞} {b : ℝ≥0} (h : a ≤ b) : a.toReal ≤ b := by lift a to ℝ≥0 using ne_top_of_le_ne_top coe_ne_top h simpa using h #align ennreal.to_real_le_coe_of_le_coe ENNReal.toReal_le_coe_of_le_coe @[simp, norm_cast] theorem coe_finset_sup {s : Finset α} {f : α → ℝ≥0} : ↑(s.sup f) = s.sup fun x => (f x : ℝ≥0∞) := Finset.comp_sup_eq_sup_comp_of_is_total _ coe_mono rfl #align ennreal.coe_finset_sup ENNReal.coe_finset_sup @[simp] theorem max_eq_zero_iff : max a b = 0 ↔ a = 0 ∧ b = 0 := max_eq_bot #align ennreal.max_eq_zero_iff ENNReal.max_eq_zero_iff theorem max_zero_left : max 0 a = a := max_eq_right (zero_le a) #align ennreal.max_zero_left ENNReal.max_zero_left theorem max_zero_right : max a 0 = a := max_eq_left (zero_le a) #align ennreal.max_zero_right ENNReal.max_zero_right @[simp] theorem sup_eq_max : a ⊔ b = max a b := rfl #align ennreal.sup_eq_max ENNReal.sup_eq_max -- Porting note: moved `le_of_forall_pos_le_add` down theorem lt_iff_exists_rat_btwn : a < b ↔ ∃ q : ℚ, 0 ≤ q ∧ a < Real.toNNReal q ∧ (Real.toNNReal q : ℝ≥0∞) < b := ⟨fun h => by rcases lt_iff_exists_coe.1 h with ⟨p, rfl, _⟩ rcases exists_between h with ⟨c, pc, cb⟩ rcases lt_iff_exists_coe.1 cb with ⟨r, rfl, _⟩ rcases (NNReal.lt_iff_exists_rat_btwn _ _).1 (coe_lt_coe.1 pc) with ⟨q, hq0, pq, qr⟩ exact ⟨q, hq0, coe_lt_coe.2 pq, lt_trans (coe_lt_coe.2 qr) cb⟩, fun ⟨q, _, qa, qb⟩ => lt_trans qa qb⟩ #align ennreal.lt_iff_exists_rat_btwn ENNReal.lt_iff_exists_rat_btwn theorem lt_iff_exists_real_btwn : a < b ↔ ∃ r : ℝ, 0 ≤ r ∧ a < ENNReal.ofReal r ∧ (ENNReal.ofReal r : ℝ≥0∞) < b := ⟨fun h => let ⟨q, q0, aq, qb⟩ := ENNReal.lt_iff_exists_rat_btwn.1 h ⟨q, Rat.cast_nonneg.2 q0, aq, qb⟩, fun ⟨_, _, qa, qb⟩ => lt_trans qa qb⟩ #align ennreal.lt_iff_exists_real_btwn ENNReal.lt_iff_exists_real_btwn theorem lt_iff_exists_nnreal_btwn : a < b ↔ ∃ r : ℝ≥0, a < r ∧ (r : ℝ≥0∞) < b := WithTop.lt_iff_exists_coe_btwn #align ennreal.lt_iff_exists_nnreal_btwn ENNReal.lt_iff_exists_nnreal_btwn theorem lt_iff_exists_add_pos_lt : a < b ↔ ∃ r : ℝ≥0, 0 < r ∧ a + r < b := by refine ⟨fun hab => ?_, fun ⟨r, _, hr⟩ => lt_of_le_of_lt le_self_add hr⟩ rcases lt_iff_exists_nnreal_btwn.1 hab with ⟨c, ac, cb⟩ lift a to ℝ≥0 using ac.ne_top rw [coe_lt_coe] at ac refine ⟨c - a, tsub_pos_iff_lt.2 ac, ?_⟩ rwa [← coe_add, add_tsub_cancel_of_le ac.le] #align ennreal.lt_iff_exists_add_pos_lt ENNReal.lt_iff_exists_add_pos_lt theorem le_of_forall_pos_le_add (h : ∀ ε : ℝ≥0, 0 < ε → b < ∞ → a ≤ b + ε) : a ≤ b := by contrapose! h rcases lt_iff_exists_add_pos_lt.1 h with ⟨r, hr0, hr⟩ exact ⟨r, hr0, h.trans_le le_top, hr⟩ #align ennreal.le_of_forall_pos_le_add ENNReal.le_of_forall_pos_le_add theorem natCast_lt_coe {n : ℕ} : n < (r : ℝ≥0∞) ↔ n < r := ENNReal.coe_natCast n ▸ coe_lt_coe #align ennreal.coe_nat_lt_coe ENNReal.natCast_lt_coe theorem coe_lt_natCast {n : ℕ} : (r : ℝ≥0∞) < n ↔ r < n := ENNReal.coe_natCast n ▸ coe_lt_coe #align ennreal.coe_lt_coe_nat ENNReal.coe_lt_natCast @[deprecated (since := "2024-04-05")] alias coe_nat := coe_natCast @[deprecated (since := "2024-04-05")] alias ofReal_coe_nat := ofReal_natCast @[deprecated (since := "2024-04-05")] alias nat_ne_top := natCast_ne_top @[deprecated (since := "2024-04-05")] alias top_ne_nat := top_ne_natCast @[deprecated (since := "2024-04-05")] alias coe_nat_lt_coe := natCast_lt_coe @[deprecated (since := "2024-04-05")] alias coe_lt_coe_nat := coe_lt_natCast protected theorem exists_nat_gt {r : ℝ≥0∞} (h : r ≠ ∞) : ∃ n : ℕ, r < n := by lift r to ℝ≥0 using h rcases exists_nat_gt r with ⟨n, hn⟩ exact ⟨n, coe_lt_natCast.2 hn⟩ #align ennreal.exists_nat_gt ENNReal.exists_nat_gt @[simp] theorem iUnion_Iio_coe_nat : ⋃ n : ℕ, Iio (n : ℝ≥0∞) = {∞}ᶜ := by ext x rw [mem_iUnion] exact ⟨fun ⟨n, hn⟩ => ne_top_of_lt hn, ENNReal.exists_nat_gt⟩ #align ennreal.Union_Iio_coe_nat ENNReal.iUnion_Iio_coe_nat @[simp] theorem iUnion_Iic_coe_nat : ⋃ n : ℕ, Iic (n : ℝ≥0∞) = {∞}ᶜ := Subset.antisymm (iUnion_subset fun n _x hx => ne_top_of_le_ne_top (natCast_ne_top n) hx) <| iUnion_Iio_coe_nat ▸ iUnion_mono fun _ => Iio_subset_Iic_self #align ennreal.Union_Iic_coe_nat ENNReal.iUnion_Iic_coe_nat @[simp] theorem iUnion_Ioc_coe_nat : ⋃ n : ℕ, Ioc a n = Ioi a \ {∞} := by simp only [← Ioi_inter_Iic, ← inter_iUnion, iUnion_Iic_coe_nat, diff_eq] #align ennreal.Union_Ioc_coe_nat ENNReal.iUnion_Ioc_coe_nat @[simp] theorem iUnion_Ioo_coe_nat : ⋃ n : ℕ, Ioo a n = Ioi a \ {∞} := by simp only [← Ioi_inter_Iio, ← inter_iUnion, iUnion_Iio_coe_nat, diff_eq] #align ennreal.Union_Ioo_coe_nat ENNReal.iUnion_Ioo_coe_nat @[simp] theorem iUnion_Icc_coe_nat : ⋃ n : ℕ, Icc a n = Ici a \ {∞} := by simp only [← Ici_inter_Iic, ← inter_iUnion, iUnion_Iic_coe_nat, diff_eq] #align ennreal.Union_Icc_coe_nat ENNReal.iUnion_Icc_coe_nat @[simp] theorem iUnion_Ico_coe_nat : ⋃ n : ℕ, Ico a n = Ici a \ {∞} := by simp only [← Ici_inter_Iio, ← inter_iUnion, iUnion_Iio_coe_nat, diff_eq] #align ennreal.Union_Ico_coe_nat ENNReal.iUnion_Ico_coe_nat @[simp] theorem iInter_Ici_coe_nat : ⋂ n : ℕ, Ici (n : ℝ≥0∞) = {∞} := by simp only [← compl_Iio, ← compl_iUnion, iUnion_Iio_coe_nat, compl_compl] #align ennreal.Inter_Ici_coe_nat ENNReal.iInter_Ici_coe_nat @[simp] theorem iInter_Ioi_coe_nat : ⋂ n : ℕ, Ioi (n : ℝ≥0∞) = {∞} := by simp only [← compl_Iic, ← compl_iUnion, iUnion_Iic_coe_nat, compl_compl] #align ennreal.Inter_Ioi_coe_nat ENNReal.iInter_Ioi_coe_nat @[simp, norm_cast] theorem coe_min (r p : ℝ≥0) : ((min r p : ℝ≥0) : ℝ≥0∞) = min (r : ℝ≥0∞) p := rfl #align ennreal.coe_min ENNReal.coe_min @[simp, norm_cast] theorem coe_max (r p : ℝ≥0) : ((max r p : ℝ≥0) : ℝ≥0∞) = max (r : ℝ≥0∞) p := rfl #align ennreal.coe_max ENNReal.coe_max theorem le_of_top_imp_top_of_toNNReal_le {a b : ℝ≥0∞} (h : a = ⊤ → b = ⊤) (h_nnreal : a ≠ ⊤ → b ≠ ⊤ → a.toNNReal ≤ b.toNNReal) : a ≤ b := by by_contra! hlt lift b to ℝ≥0 using hlt.ne_top lift a to ℝ≥0 using mt h coe_ne_top refine hlt.not_le ?_ simpa using h_nnreal #align ennreal.le_of_top_imp_top_of_to_nnreal_le ENNReal.le_of_top_imp_top_of_toNNReal_le @[simp]
Mathlib/Data/ENNReal/Basic.lean
745
745
theorem abs_toReal {x : ℝ≥0∞} : |x.toReal| = x.toReal := by
cases x <;> simp
import Mathlib.Analysis.Seminorm import Mathlib.Topology.Algebra.Equicontinuity import Mathlib.Topology.MetricSpace.Equicontinuity import Mathlib.Topology.Algebra.FilterBasis import Mathlib.Topology.Algebra.Module.LocallyConvex #align_import analysis.locally_convex.with_seminorms from "leanprover-community/mathlib"@"b31173ee05c911d61ad6a05bd2196835c932e0ec" open NormedField Set Seminorm TopologicalSpace Filter List open NNReal Pointwise Topology Uniformity variable {𝕜 𝕜₂ 𝕝 𝕝₂ E F G ι ι' : Type*} section FilterBasis variable [NormedField 𝕜] [AddCommGroup E] [Module 𝕜 E] variable (𝕜 E ι) abbrev SeminormFamily := ι → Seminorm 𝕜 E #align seminorm_family SeminormFamily variable {𝕜 E ι} namespace SeminormFamily def basisSets (p : SeminormFamily 𝕜 E ι) : Set (Set E) := ⋃ (s : Finset ι) (r) (_ : 0 < r), singleton (ball (s.sup p) (0 : E) r) #align seminorm_family.basis_sets SeminormFamily.basisSets variable (p : SeminormFamily 𝕜 E ι) theorem basisSets_iff {U : Set E} : U ∈ p.basisSets ↔ ∃ (i : Finset ι) (r : ℝ), 0 < r ∧ U = ball (i.sup p) 0 r := by simp only [basisSets, mem_iUnion, exists_prop, mem_singleton_iff] #align seminorm_family.basis_sets_iff SeminormFamily.basisSets_iff theorem basisSets_mem (i : Finset ι) {r : ℝ} (hr : 0 < r) : (i.sup p).ball 0 r ∈ p.basisSets := (basisSets_iff _).mpr ⟨i, _, hr, rfl⟩ #align seminorm_family.basis_sets_mem SeminormFamily.basisSets_mem theorem basisSets_singleton_mem (i : ι) {r : ℝ} (hr : 0 < r) : (p i).ball 0 r ∈ p.basisSets := (basisSets_iff _).mpr ⟨{i}, _, hr, by rw [Finset.sup_singleton]⟩ #align seminorm_family.basis_sets_singleton_mem SeminormFamily.basisSets_singleton_mem theorem basisSets_nonempty [Nonempty ι] : p.basisSets.Nonempty := by let i := Classical.arbitrary ι refine nonempty_def.mpr ⟨(p i).ball 0 1, ?_⟩ exact p.basisSets_singleton_mem i zero_lt_one #align seminorm_family.basis_sets_nonempty SeminormFamily.basisSets_nonempty theorem basisSets_intersect (U V : Set E) (hU : U ∈ p.basisSets) (hV : V ∈ p.basisSets) : ∃ z ∈ p.basisSets, z ⊆ U ∩ V := by classical rcases p.basisSets_iff.mp hU with ⟨s, r₁, hr₁, hU⟩ rcases p.basisSets_iff.mp hV with ⟨t, r₂, hr₂, hV⟩ use ((s ∪ t).sup p).ball 0 (min r₁ r₂) refine ⟨p.basisSets_mem (s ∪ t) (lt_min_iff.mpr ⟨hr₁, hr₂⟩), ?_⟩ rw [hU, hV, ball_finset_sup_eq_iInter _ _ _ (lt_min_iff.mpr ⟨hr₁, hr₂⟩), ball_finset_sup_eq_iInter _ _ _ hr₁, ball_finset_sup_eq_iInter _ _ _ hr₂] exact Set.subset_inter (Set.iInter₂_mono' fun i hi => ⟨i, Finset.subset_union_left hi, ball_mono <| min_le_left _ _⟩) (Set.iInter₂_mono' fun i hi => ⟨i, Finset.subset_union_right hi, ball_mono <| min_le_right _ _⟩) #align seminorm_family.basis_sets_intersect SeminormFamily.basisSets_intersect theorem basisSets_zero (U) (hU : U ∈ p.basisSets) : (0 : E) ∈ U := by rcases p.basisSets_iff.mp hU with ⟨ι', r, hr, hU⟩ rw [hU, mem_ball_zero, map_zero] exact hr #align seminorm_family.basis_sets_zero SeminormFamily.basisSets_zero theorem basisSets_add (U) (hU : U ∈ p.basisSets) : ∃ V ∈ p.basisSets, V + V ⊆ U := by rcases p.basisSets_iff.mp hU with ⟨s, r, hr, hU⟩ use (s.sup p).ball 0 (r / 2) refine ⟨p.basisSets_mem s (div_pos hr zero_lt_two), ?_⟩ refine Set.Subset.trans (ball_add_ball_subset (s.sup p) (r / 2) (r / 2) 0 0) ?_ rw [hU, add_zero, add_halves'] #align seminorm_family.basis_sets_add SeminormFamily.basisSets_add
Mathlib/Analysis/LocallyConvex/WithSeminorms.lean
130
134
theorem basisSets_neg (U) (hU' : U ∈ p.basisSets) : ∃ V ∈ p.basisSets, V ⊆ (fun x : E => -x) ⁻¹' U := by
rcases p.basisSets_iff.mp hU' with ⟨s, r, _, hU⟩ rw [hU, neg_preimage, neg_ball (s.sup p), neg_zero] exact ⟨U, hU', Eq.subset hU⟩
import Mathlib.Analysis.SpecialFunctions.Complex.Arg import Mathlib.Analysis.SpecialFunctions.Log.Basic #align_import analysis.special_functions.complex.log from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" noncomputable section namespace Complex open Set Filter Bornology open scoped Real Topology ComplexConjugate -- Porting note: @[pp_nodot] does not exist in mathlib4 noncomputable def log (x : ℂ) : ℂ := x.abs.log + arg x * I #align complex.log Complex.log theorem log_re (x : ℂ) : x.log.re = x.abs.log := by simp [log] #align complex.log_re Complex.log_re theorem log_im (x : ℂ) : x.log.im = x.arg := by simp [log] #align complex.log_im Complex.log_im theorem neg_pi_lt_log_im (x : ℂ) : -π < (log x).im := by simp only [log_im, neg_pi_lt_arg] #align complex.neg_pi_lt_log_im Complex.neg_pi_lt_log_im theorem log_im_le_pi (x : ℂ) : (log x).im ≤ π := by simp only [log_im, arg_le_pi] #align complex.log_im_le_pi Complex.log_im_le_pi theorem exp_log {x : ℂ} (hx : x ≠ 0) : exp (log x) = x := by rw [log, exp_add_mul_I, ← ofReal_sin, sin_arg, ← ofReal_cos, cos_arg hx, ← ofReal_exp, Real.exp_log (abs.pos hx), mul_add, ofReal_div, ofReal_div, mul_div_cancel₀ _ (ofReal_ne_zero.2 <| abs.ne_zero hx), ← mul_assoc, mul_div_cancel₀ _ (ofReal_ne_zero.2 <| abs.ne_zero hx), re_add_im] #align complex.exp_log Complex.exp_log @[simp] theorem range_exp : Set.range exp = {0}ᶜ := Set.ext fun x => ⟨by rintro ⟨x, rfl⟩ exact exp_ne_zero x, fun hx => ⟨log x, exp_log hx⟩⟩ #align complex.range_exp Complex.range_exp theorem log_exp {x : ℂ} (hx₁ : -π < x.im) (hx₂ : x.im ≤ π) : log (exp x) = x := by rw [log, abs_exp, Real.log_exp, exp_eq_exp_re_mul_sin_add_cos, ← ofReal_exp, arg_mul_cos_add_sin_mul_I (Real.exp_pos _) ⟨hx₁, hx₂⟩, re_add_im] #align complex.log_exp Complex.log_exp theorem exp_inj_of_neg_pi_lt_of_le_pi {x y : ℂ} (hx₁ : -π < x.im) (hx₂ : x.im ≤ π) (hy₁ : -π < y.im) (hy₂ : y.im ≤ π) (hxy : exp x = exp y) : x = y := by rw [← log_exp hx₁ hx₂, ← log_exp hy₁ hy₂, hxy] #align complex.exp_inj_of_neg_pi_lt_of_le_pi Complex.exp_inj_of_neg_pi_lt_of_le_pi theorem ofReal_log {x : ℝ} (hx : 0 ≤ x) : (x.log : ℂ) = log x := Complex.ext (by rw [log_re, ofReal_re, abs_of_nonneg hx]) (by rw [ofReal_im, log_im, arg_ofReal_of_nonneg hx]) #align complex.of_real_log Complex.ofReal_log @[simp, norm_cast] lemma natCast_log {n : ℕ} : Real.log n = log n := ofReal_natCast n ▸ ofReal_log n.cast_nonneg @[simp] lemma ofNat_log {n : ℕ} [n.AtLeastTwo] : Real.log (no_index (OfNat.ofNat n)) = log (OfNat.ofNat n) := natCast_log theorem log_ofReal_re (x : ℝ) : (log (x : ℂ)).re = Real.log x := by simp [log_re] #align complex.log_of_real_re Complex.log_ofReal_re theorem log_ofReal_mul {r : ℝ} (hr : 0 < r) {x : ℂ} (hx : x ≠ 0) : log (r * x) = Real.log r + log x := by replace hx := Complex.abs.ne_zero_iff.mpr hx simp_rw [log, map_mul, abs_ofReal, arg_real_mul _ hr, abs_of_pos hr, Real.log_mul hr.ne' hx, ofReal_add, add_assoc] #align complex.log_of_real_mul Complex.log_ofReal_mul theorem log_mul_ofReal (r : ℝ) (hr : 0 < r) (x : ℂ) (hx : x ≠ 0) : log (x * r) = Real.log r + log x := by rw [mul_comm, log_ofReal_mul hr hx] #align complex.log_mul_of_real Complex.log_mul_ofReal lemma log_mul_eq_add_log_iff {x y : ℂ} (hx₀ : x ≠ 0) (hy₀ : y ≠ 0) : log (x * y) = log x + log y ↔ arg x + arg y ∈ Set.Ioc (-π) π := by refine ext_iff.trans <| Iff.trans ?_ <| arg_mul_eq_add_arg_iff hx₀ hy₀ simp_rw [add_re, add_im, log_re, log_im, AbsoluteValue.map_mul, Real.log_mul (abs.ne_zero hx₀) (abs.ne_zero hy₀), true_and] alias ⟨_, log_mul⟩ := log_mul_eq_add_log_iff @[simp] theorem log_zero : log 0 = 0 := by simp [log] #align complex.log_zero Complex.log_zero @[simp] theorem log_one : log 1 = 0 := by simp [log] #align complex.log_one Complex.log_one theorem log_neg_one : log (-1) = π * I := by simp [log] #align complex.log_neg_one Complex.log_neg_one theorem log_I : log I = π / 2 * I := by simp [log] set_option linter.uppercaseLean3 false in #align complex.log_I Complex.log_I theorem log_neg_I : log (-I) = -(π / 2) * I := by simp [log] set_option linter.uppercaseLean3 false in #align complex.log_neg_I Complex.log_neg_I theorem log_conj_eq_ite (x : ℂ) : log (conj x) = if x.arg = π then log x else conj (log x) := by simp_rw [log, abs_conj, arg_conj, map_add, map_mul, conj_ofReal] split_ifs with hx · rw [hx] simp_rw [ofReal_neg, conj_I, mul_neg, neg_mul] #align complex.log_conj_eq_ite Complex.log_conj_eq_ite theorem log_conj (x : ℂ) (h : x.arg ≠ π) : log (conj x) = conj (log x) := by rw [log_conj_eq_ite, if_neg h] #align complex.log_conj Complex.log_conj theorem log_inv_eq_ite (x : ℂ) : log x⁻¹ = if x.arg = π then -conj (log x) else -log x := by by_cases hx : x = 0 · simp [hx] rw [inv_def, log_mul_ofReal, Real.log_inv, ofReal_neg, ← sub_eq_neg_add, log_conj_eq_ite] · simp_rw [log, map_add, map_mul, conj_ofReal, conj_I, normSq_eq_abs, Real.log_pow, Nat.cast_two, ofReal_mul, neg_add, mul_neg, neg_neg] norm_num; rw [two_mul] -- Porting note: added to simplify `↑2` split_ifs · rw [add_sub_right_comm, sub_add_cancel_left] · rw [add_sub_right_comm, sub_add_cancel_left] · rwa [inv_pos, Complex.normSq_pos] · rwa [map_ne_zero] #align complex.log_inv_eq_ite Complex.log_inv_eq_ite theorem log_inv (x : ℂ) (hx : x.arg ≠ π) : log x⁻¹ = -log x := by rw [log_inv_eq_ite, if_neg hx] #align complex.log_inv Complex.log_inv theorem two_pi_I_ne_zero : (2 * π * I : ℂ) ≠ 0 := by norm_num [Real.pi_ne_zero, I_ne_zero] set_option linter.uppercaseLean3 false in #align complex.two_pi_I_ne_zero Complex.two_pi_I_ne_zero theorem exp_eq_one_iff {x : ℂ} : exp x = 1 ↔ ∃ n : ℤ, x = n * (2 * π * I) := by constructor · intro h rcases existsUnique_add_zsmul_mem_Ioc Real.two_pi_pos x.im (-π) with ⟨n, hn, -⟩ use -n rw [Int.cast_neg, neg_mul, eq_neg_iff_add_eq_zero] have : (x + n * (2 * π * I)).im ∈ Set.Ioc (-π) π := by simpa [two_mul, mul_add] using hn rw [← log_exp this.1 this.2, exp_periodic.int_mul n, h, log_one] · rintro ⟨n, rfl⟩ exact (exp_periodic.int_mul n).eq.trans exp_zero #align complex.exp_eq_one_iff Complex.exp_eq_one_iff theorem exp_eq_exp_iff_exp_sub_eq_one {x y : ℂ} : exp x = exp y ↔ exp (x - y) = 1 := by rw [exp_sub, div_eq_one_iff_eq (exp_ne_zero _)] #align complex.exp_eq_exp_iff_exp_sub_eq_one Complex.exp_eq_exp_iff_exp_sub_eq_one theorem exp_eq_exp_iff_exists_int {x y : ℂ} : exp x = exp y ↔ ∃ n : ℤ, x = y + n * (2 * π * I) := by simp only [exp_eq_exp_iff_exp_sub_eq_one, exp_eq_one_iff, sub_eq_iff_eq_add'] #align complex.exp_eq_exp_iff_exists_int Complex.exp_eq_exp_iff_exists_int @[simp] theorem countable_preimage_exp {s : Set ℂ} : (exp ⁻¹' s).Countable ↔ s.Countable := by refine ⟨fun hs => ?_, fun hs => ?_⟩ · refine ((hs.image exp).insert 0).mono ?_ rw [Set.image_preimage_eq_inter_range, range_exp, ← Set.diff_eq, ← Set.union_singleton, Set.diff_union_self] exact Set.subset_union_left · rw [← Set.biUnion_preimage_singleton] refine hs.biUnion fun z hz => ?_ rcases em (∃ w, exp w = z) with (⟨w, rfl⟩ | hne) · simp only [Set.preimage, Set.mem_singleton_iff, exp_eq_exp_iff_exists_int, Set.setOf_exists] exact Set.countable_iUnion fun m => Set.countable_singleton _ · push_neg at hne simp [Set.preimage, hne] #align complex.countable_preimage_exp Complex.countable_preimage_exp alias ⟨_, _root_.Set.Countable.preimage_cexp⟩ := countable_preimage_exp #align set.countable.preimage_cexp Set.Countable.preimage_cexp theorem tendsto_log_nhdsWithin_im_neg_of_re_neg_of_im_zero {z : ℂ} (hre : z.re < 0) (him : z.im = 0) : Tendsto log (𝓝[{ z : ℂ | z.im < 0 }] z) (𝓝 <| Real.log (abs z) - π * I) := by convert (continuous_ofReal.continuousAt.comp_continuousWithinAt (continuous_abs.continuousWithinAt.log _)).tendsto.add (((continuous_ofReal.tendsto _).comp <| tendsto_arg_nhdsWithin_im_neg_of_re_neg_of_im_zero hre him).mul tendsto_const_nhds) using 1 · simp [sub_eq_add_neg] · lift z to ℝ using him simpa using hre.ne #align complex.tendsto_log_nhds_within_im_neg_of_re_neg_of_im_zero Complex.tendsto_log_nhdsWithin_im_neg_of_re_neg_of_im_zero
Mathlib/Analysis/SpecialFunctions/Complex/Log.lean
208
217
theorem continuousWithinAt_log_of_re_neg_of_im_zero {z : ℂ} (hre : z.re < 0) (him : z.im = 0) : ContinuousWithinAt log { z : ℂ | 0 ≤ z.im } z := by
convert (continuous_ofReal.continuousAt.comp_continuousWithinAt (continuous_abs.continuousWithinAt.log _)).tendsto.add ((continuous_ofReal.continuousAt.comp_continuousWithinAt <| continuousWithinAt_arg_of_re_neg_of_im_zero hre him).mul tendsto_const_nhds) using 1 lift z to ℝ using him simpa using hre.ne
import Mathlib.Algebra.Group.Basic import Mathlib.Algebra.Order.Monoid.Canonical.Defs import Mathlib.Data.Set.Function import Mathlib.Order.Interval.Set.Basic #align_import data.set.intervals.monoid from "leanprover-community/mathlib"@"aba57d4d3dae35460225919dcd82fe91355162f9" namespace Set variable {M : Type*} [OrderedCancelAddCommMonoid M] [ExistsAddOfLE M] (a b c d : M) theorem Ici_add_bij : BijOn (· + d) (Ici a) (Ici (a + d)) := by refine ⟨fun x h => add_le_add_right (mem_Ici.mp h) _, (add_left_injective d).injOn, fun _ h => ?_⟩ obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ici.mp h) rw [mem_Ici, add_right_comm, add_le_add_iff_right] at h exact ⟨a + c, h, by rw [add_right_comm]⟩ #align set.Ici_add_bij Set.Ici_add_bij theorem Ioi_add_bij : BijOn (· + d) (Ioi a) (Ioi (a + d)) := by refine ⟨fun x h => add_lt_add_right (mem_Ioi.mp h) _, fun _ _ _ _ h => add_right_cancel h, fun _ h => ?_⟩ obtain ⟨c, rfl⟩ := exists_add_of_le (mem_Ioi.mp h).le rw [mem_Ioi, add_right_comm, add_lt_add_iff_right] at h exact ⟨a + c, h, by rw [add_right_comm]⟩ #align set.Ioi_add_bij Set.Ioi_add_bij theorem Icc_add_bij : BijOn (· + d) (Icc a b) (Icc (a + d) (b + d)) := by rw [← Ici_inter_Iic, ← Ici_inter_Iic] exact (Ici_add_bij a d).inter_mapsTo (fun x hx => add_le_add_right hx _) fun x hx => le_of_add_le_add_right hx.2 #align set.Icc_add_bij Set.Icc_add_bij
Mathlib/Algebra/Order/Interval/Set/Monoid.lean
51
55
theorem Ioo_add_bij : BijOn (· + d) (Ioo a b) (Ioo (a + d) (b + d)) := by
rw [← Ioi_inter_Iio, ← Ioi_inter_Iio] exact (Ioi_add_bij a d).inter_mapsTo (fun x hx => add_lt_add_right hx _) fun x hx => lt_of_add_lt_add_right hx.2
import Mathlib.SetTheory.Cardinal.ENat #align_import set_theory.cardinal.basic from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8" universe u v open Function Set namespace Cardinal variable {α : Type u} {c d : Cardinal.{u}} noncomputable def toNat : Cardinal →*₀ ℕ := ENat.toNat.comp toENat #align cardinal.to_nat Cardinal.toNat #align cardinal.to_nat_hom Cardinal.toNat @[simp] lemma toNat_toENat (a : Cardinal) : ENat.toNat (toENat a) = toNat a := rfl @[simp] theorem toNat_ofENat (n : ℕ∞) : toNat n = ENat.toNat n := congr_arg ENat.toNat <| toENat_ofENat n @[simp, norm_cast] theorem toNat_natCast (n : ℕ) : toNat n = n := toNat_ofENat n @[simp] lemma toNat_eq_zero : toNat c = 0 ↔ c = 0 ∨ ℵ₀ ≤ c := by rw [← toNat_toENat, ENat.toNat_eq_zero, toENat_eq_zero, toENat_eq_top] lemma toNat_ne_zero : toNat c ≠ 0 ↔ c ≠ 0 ∧ c < ℵ₀ := by simp [not_or] @[simp] lemma toNat_pos : 0 < toNat c ↔ c ≠ 0 ∧ c < ℵ₀ := pos_iff_ne_zero.trans toNat_ne_zero theorem cast_toNat_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : ↑(toNat c) = c := by lift c to ℕ using h rw [toNat_natCast] #align cardinal.cast_to_nat_of_lt_aleph_0 Cardinal.cast_toNat_of_lt_aleph0 theorem toNat_apply_of_lt_aleph0 {c : Cardinal} (h : c < ℵ₀) : toNat c = Classical.choose (lt_aleph0.1 h) := Nat.cast_injective <| by rw [cast_toNat_of_lt_aleph0 h, ← Classical.choose_spec (lt_aleph0.1 h)] #align cardinal.to_nat_apply_of_lt_aleph_0 Cardinal.toNat_apply_of_lt_aleph0
Mathlib/SetTheory/Cardinal/ToNat.lean
57
57
theorem toNat_apply_of_aleph0_le {c : Cardinal} (h : ℵ₀ ≤ c) : toNat c = 0 := by
simp [h]
import Mathlib.Algebra.Module.BigOperators import Mathlib.Data.Fintype.BigOperators import Mathlib.LinearAlgebra.AffineSpace.AffineMap import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace import Mathlib.LinearAlgebra.Finsupp import Mathlib.Tactic.FinCases #align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0" noncomputable section open Affine namespace Finset theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by ext x fin_cases x <;> simp #align finset.univ_fin2 Finset.univ_fin2 variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V] variable [S : AffineSpace V P] variable {ι : Type*} (s : Finset ι) variable {ι₂ : Type*} (s₂ : Finset ι₂) def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V := ∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b) #align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint @[simp] theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) : s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by simp [weightedVSubOfPoint, LinearMap.sum_apply] #align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply @[simp (high)] theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) : s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by rw [weightedVSubOfPoint_apply, sum_smul] #align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) : s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by simp_rw [weightedVSubOfPoint_apply] refine sum_congr rfl fun i hi => ?_ rw [hw i hi, hp i hi] #align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k) (hw : ∀ i, i ≠ j → w₁ i = w₂ i) : s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by simp only [Finset.weightedVSubOfPoint_apply] congr ext i rcases eq_or_ne i j with h | h · simp [h] · simp [hw i h] #align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by apply eq_of_sub_eq_zero rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib] conv_lhs => congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, zero_smul] #align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V, vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ← sum_sub_distrib] conv_lhs => congr · skip · congr · skip · ext rw [← smul_sub, vsub_sub_vsub_cancel_left] rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self] #align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one @[simp (high)] theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_erase rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase @[simp (high)] theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) : (insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] apply sum_insert_zero rw [vsub_self, smul_zero] #align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply] exact Eq.symm <| sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _ #align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) : (s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by simp_rw [weightedVSubOfPoint_apply] exact Finset.sum_map _ _ _ #align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right] #align finset.sum_smul_vsub_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_eq_weightedVSubOfPoint_sub theorem sum_smul_vsub_const_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ : ι → P) (p₂ b : P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSubOfPoint p₁ b w - (∑ i ∈ s, w i) • (p₂ -ᵥ b) := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_vsub_const_eq_weighted_vsub_of_point_sub Finset.sum_smul_vsub_const_eq_weightedVSubOfPoint_sub theorem sum_smul_const_vsub_eq_sub_weightedVSubOfPoint (w : ι → k) (p₂ : ι → P) (p₁ b : P) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = (∑ i ∈ s, w i) • (p₁ -ᵥ b) - s.weightedVSubOfPoint p₂ b w := by rw [sum_smul_vsub_eq_weightedVSubOfPoint_sub, weightedVSubOfPoint_apply_const] #align finset.sum_smul_const_vsub_eq_sub_weighted_vsub_of_point Finset.sum_smul_const_vsub_eq_sub_weightedVSubOfPoint theorem weightedVSubOfPoint_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w + s₂.weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, sum_sdiff h] #align finset.weighted_vsub_of_point_sdiff Finset.weightedVSubOfPoint_sdiff theorem weightedVSubOfPoint_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) (b : P) : (s \ s₂).weightedVSubOfPoint p b w - s₂.weightedVSubOfPoint p b (-w) = s.weightedVSubOfPoint p b w := by rw [map_neg, sub_neg_eq_add, s.weightedVSubOfPoint_sdiff h] #align finset.weighted_vsub_of_point_sdiff_sub Finset.weightedVSubOfPoint_sdiff_sub theorem weightedVSubOfPoint_subtype_eq_filter (w : ι → k) (p : ι → P) (b : P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSubOfPoint (fun i => p i) b fun i => w i) = (s.filter pred).weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_subtype_eq_sum_filter] #align finset.weighted_vsub_of_point_subtype_eq_filter Finset.weightedVSubOfPoint_subtype_eq_filter theorem weightedVSubOfPoint_filter_of_ne (w : ι → k) (p : ι → P) (b : P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSubOfPoint p b w = s.weightedVSubOfPoint p b w := by rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, sum_filter_of_ne] intro i hi hne refine h i hi ?_ intro hw simp [hw] at hne #align finset.weighted_vsub_of_point_filter_of_ne Finset.weightedVSubOfPoint_filter_of_ne theorem weightedVSubOfPoint_const_smul (w : ι → k) (p : ι → P) (b : P) (c : k) : s.weightedVSubOfPoint p b (c • w) = c • s.weightedVSubOfPoint p b w := by simp_rw [weightedVSubOfPoint_apply, smul_sum, Pi.smul_apply, smul_smul, smul_eq_mul] #align finset.weighted_vsub_of_point_const_smul Finset.weightedVSubOfPoint_const_smul def weightedVSub (p : ι → P) : (ι → k) →ₗ[k] V := s.weightedVSubOfPoint p (Classical.choice S.nonempty) #align finset.weighted_vsub Finset.weightedVSub theorem weightedVSub_apply (w : ι → k) (p : ι → P) : s.weightedVSub p w = ∑ i ∈ s, w i • (p i -ᵥ Classical.choice S.nonempty) := by simp [weightedVSub, LinearMap.sum_apply] #align finset.weighted_vsub_apply Finset.weightedVSub_apply theorem weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0) (b : P) : s.weightedVSub p w = s.weightedVSubOfPoint p b w := s.weightedVSubOfPoint_eq_of_sum_eq_zero w p h _ _ #align finset.weighted_vsub_eq_weighted_vsub_of_point_of_sum_eq_zero Finset.weightedVSub_eq_weightedVSubOfPoint_of_sum_eq_zero @[simp] theorem weightedVSub_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 0) : s.weightedVSub (fun _ => p) w = 0 := by rw [weightedVSub, weightedVSubOfPoint_apply_const, h, zero_smul] #align finset.weighted_vsub_apply_const Finset.weightedVSub_apply_const @[simp] theorem weightedVSub_empty (w : ι → k) (p : ι → P) : (∅ : Finset ι).weightedVSub p w = (0 : V) := by simp [weightedVSub_apply] #align finset.weighted_vsub_empty Finset.weightedVSub_empty theorem weightedVSub_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) : s.weightedVSub p₁ w₁ = s.weightedVSub p₂ w₂ := s.weightedVSubOfPoint_congr hw hp _ #align finset.weighted_vsub_congr Finset.weightedVSub_congr theorem weightedVSub_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.weightedVSub p w = s₂.weightedVSub p (Set.indicator (↑s₁) w) := weightedVSubOfPoint_indicator_subset _ _ _ h #align finset.weighted_vsub_indicator_subset Finset.weightedVSub_indicator_subset theorem weightedVSub_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) : (s₂.map e).weightedVSub p w = s₂.weightedVSub (p ∘ e) (w ∘ e) := s₂.weightedVSubOfPoint_map _ _ _ _ #align finset.weighted_vsub_map Finset.weightedVSub_map theorem sum_smul_vsub_eq_weightedVSub_sub (w : ι → k) (p₁ p₂ : ι → P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.weightedVSub p₁ w - s.weightedVSub p₂ w := s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _ #align finset.sum_smul_vsub_eq_weighted_vsub_sub Finset.sum_smul_vsub_eq_weightedVSub_sub theorem sum_smul_vsub_const_eq_weightedVSub (w : ι → k) (p₁ : ι → P) (p₂ : P) (h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.weightedVSub p₁ w := by rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, sub_zero] #align finset.sum_smul_vsub_const_eq_weighted_vsub Finset.sum_smul_vsub_const_eq_weightedVSub theorem sum_smul_const_vsub_eq_neg_weightedVSub (w : ι → k) (p₂ : ι → P) (p₁ : P) (h : ∑ i ∈ s, w i = 0) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = -s.weightedVSub p₂ w := by rw [sum_smul_vsub_eq_weightedVSub_sub, s.weightedVSub_apply_const _ _ h, zero_sub] #align finset.sum_smul_const_vsub_eq_neg_weighted_vsub Finset.sum_smul_const_vsub_eq_neg_weightedVSub theorem weightedVSub_sdiff [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).weightedVSub p w + s₂.weightedVSub p w = s.weightedVSub p w := s.weightedVSubOfPoint_sdiff h _ _ _ #align finset.weighted_vsub_sdiff Finset.weightedVSub_sdiff theorem weightedVSub_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).weightedVSub p w - s₂.weightedVSub p (-w) = s.weightedVSub p w := s.weightedVSubOfPoint_sdiff_sub h _ _ _ #align finset.weighted_vsub_sdiff_sub Finset.weightedVSub_sdiff_sub theorem weightedVSub_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).weightedVSub (fun i => p i) fun i => w i) = (s.filter pred).weightedVSub p w := s.weightedVSubOfPoint_subtype_eq_filter _ _ _ _ #align finset.weighted_vsub_subtype_eq_filter Finset.weightedVSub_subtype_eq_filter theorem weightedVSub_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).weightedVSub p w = s.weightedVSub p w := s.weightedVSubOfPoint_filter_of_ne _ _ _ h #align finset.weighted_vsub_filter_of_ne Finset.weightedVSub_filter_of_ne theorem weightedVSub_const_smul (w : ι → k) (p : ι → P) (c : k) : s.weightedVSub p (c • w) = c • s.weightedVSub p w := s.weightedVSubOfPoint_const_smul _ _ _ _ #align finset.weighted_vsub_const_smul Finset.weightedVSub_const_smul instance : AffineSpace (ι → k) (ι → k) := Pi.instAddTorsor variable (k) def affineCombination (p : ι → P) : (ι → k) →ᵃ[k] P where toFun w := s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty linear := s.weightedVSub p map_vadd' w₁ w₂ := by simp_rw [vadd_vadd, weightedVSub, vadd_eq_add, LinearMap.map_add] #align finset.affine_combination Finset.affineCombination @[simp] theorem affineCombination_linear (p : ι → P) : (s.affineCombination k p).linear = s.weightedVSub p := rfl #align finset.affine_combination_linear Finset.affineCombination_linear variable {k} theorem affineCombination_apply (w : ι → k) (p : ι → P) : (s.affineCombination k p) w = s.weightedVSubOfPoint p (Classical.choice S.nonempty) w +ᵥ Classical.choice S.nonempty := rfl #align finset.affine_combination_apply Finset.affineCombination_apply @[simp] theorem affineCombination_apply_const (w : ι → k) (p : P) (h : ∑ i ∈ s, w i = 1) : s.affineCombination k (fun _ => p) w = p := by rw [affineCombination_apply, s.weightedVSubOfPoint_apply_const, h, one_smul, vsub_vadd] #align finset.affine_combination_apply_const Finset.affineCombination_apply_const theorem affineCombination_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P} (hp : ∀ i ∈ s, p₁ i = p₂ i) : s.affineCombination k p₁ w₁ = s.affineCombination k p₂ w₂ := by simp_rw [affineCombination_apply, s.weightedVSubOfPoint_congr hw hp] #align finset.affine_combination_congr Finset.affineCombination_congr theorem affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1) (b : P) : s.affineCombination k p w = s.weightedVSubOfPoint p b w +ᵥ b := s.weightedVSubOfPoint_vadd_eq_of_sum_eq_one w p h _ _ #align finset.affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one Finset.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one theorem weightedVSub_vadd_affineCombination (w₁ w₂ : ι → k) (p : ι → P) : s.weightedVSub p w₁ +ᵥ s.affineCombination k p w₂ = s.affineCombination k p (w₁ + w₂) := by rw [← vadd_eq_add, AffineMap.map_vadd, affineCombination_linear] #align finset.weighted_vsub_vadd_affine_combination Finset.weightedVSub_vadd_affineCombination theorem affineCombination_vsub (w₁ w₂ : ι → k) (p : ι → P) : s.affineCombination k p w₁ -ᵥ s.affineCombination k p w₂ = s.weightedVSub p (w₁ - w₂) := by rw [← AffineMap.linearMap_vsub, affineCombination_linear, vsub_eq_sub] #align finset.affine_combination_vsub Finset.affineCombination_vsub theorem attach_affineCombination_of_injective [DecidableEq P] (s : Finset P) (w : P → k) (f : s → P) (hf : Function.Injective f) : s.attach.affineCombination k f (w ∘ f) = (image f univ).affineCombination k id w := by simp only [affineCombination, weightedVSubOfPoint_apply, id, vadd_right_cancel_iff, Function.comp_apply, AffineMap.coe_mk] let g₁ : s → V := fun i => w (f i) • (f i -ᵥ Classical.choice S.nonempty) let g₂ : P → V := fun i => w i • (i -ᵥ Classical.choice S.nonempty) change univ.sum g₁ = (image f univ).sum g₂ have hgf : g₁ = g₂ ∘ f := by ext simp rw [hgf, sum_image] · simp only [Function.comp_apply] · exact fun _ _ _ _ hxy => hf hxy #align finset.attach_affine_combination_of_injective Finset.attach_affineCombination_of_injective theorem attach_affineCombination_coe (s : Finset P) (w : P → k) : s.attach.affineCombination k ((↑) : s → P) (w ∘ (↑)) = s.affineCombination k id w := by classical rw [attach_affineCombination_of_injective s w ((↑) : s → P) Subtype.coe_injective, univ_eq_attach, attach_image_val] #align finset.attach_affine_combination_coe Finset.attach_affineCombination_coe @[simp] theorem weightedVSub_eq_linear_combination {ι} (s : Finset ι) {w : ι → k} {p : ι → V} (hw : s.sum w = 0) : s.weightedVSub p w = ∑ i ∈ s, w i • p i := by simp [s.weightedVSub_apply, vsub_eq_sub, smul_sub, ← Finset.sum_smul, hw] #align finset.weighted_vsub_eq_linear_combination Finset.weightedVSub_eq_linear_combination @[simp] theorem affineCombination_eq_linear_combination (s : Finset ι) (p : ι → V) (w : ι → k) (hw : ∑ i ∈ s, w i = 1) : s.affineCombination k p w = ∑ i ∈ s, w i • p i := by simp [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p hw 0] #align finset.affine_combination_eq_linear_combination Finset.affineCombination_eq_linear_combination @[simp] theorem affineCombination_of_eq_one_of_eq_zero (w : ι → k) (p : ι → P) {i : ι} (his : i ∈ s) (hwi : w i = 1) (hw0 : ∀ i2 ∈ s, i2 ≠ i → w i2 = 0) : s.affineCombination k p w = p i := by have h1 : ∑ i ∈ s, w i = 1 := hwi ▸ sum_eq_single i hw0 fun h => False.elim (h his) rw [s.affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one w p h1 (p i), weightedVSubOfPoint_apply] convert zero_vadd V (p i) refine sum_eq_zero ?_ intro i2 hi2 by_cases h : i2 = i · simp [h] · simp [hw0 i2 hi2 h] #align finset.affine_combination_of_eq_one_of_eq_zero Finset.affineCombination_of_eq_one_of_eq_zero theorem affineCombination_indicator_subset (w : ι → k) (p : ι → P) {s₁ s₂ : Finset ι} (h : s₁ ⊆ s₂) : s₁.affineCombination k p w = s₂.affineCombination k p (Set.indicator (↑s₁) w) := by rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_indicator_subset _ _ _ h] #align finset.affine_combination_indicator_subset Finset.affineCombination_indicator_subset theorem affineCombination_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) : (s₂.map e).affineCombination k p w = s₂.affineCombination k (p ∘ e) (w ∘ e) := by simp_rw [affineCombination_apply, weightedVSubOfPoint_map] #align finset.affine_combination_map Finset.affineCombination_map theorem sum_smul_vsub_eq_affineCombination_vsub (w : ι → k) (p₁ p₂ : ι → P) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) = s.affineCombination k p₁ w -ᵥ s.affineCombination k p₂ w := by simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right] exact s.sum_smul_vsub_eq_weightedVSubOfPoint_sub _ _ _ _ #align finset.sum_smul_vsub_eq_affine_combination_vsub Finset.sum_smul_vsub_eq_affineCombination_vsub theorem sum_smul_vsub_const_eq_affineCombination_vsub (w : ι → k) (p₁ : ι → P) (p₂ : P) (h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ i -ᵥ p₂)) = s.affineCombination k p₁ w -ᵥ p₂ := by rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h] #align finset.sum_smul_vsub_const_eq_affine_combination_vsub Finset.sum_smul_vsub_const_eq_affineCombination_vsub theorem sum_smul_const_vsub_eq_vsub_affineCombination (w : ι → k) (p₂ : ι → P) (p₁ : P) (h : ∑ i ∈ s, w i = 1) : (∑ i ∈ s, w i • (p₁ -ᵥ p₂ i)) = p₁ -ᵥ s.affineCombination k p₂ w := by rw [sum_smul_vsub_eq_affineCombination_vsub, affineCombination_apply_const _ _ _ h] #align finset.sum_smul_const_vsub_eq_vsub_affine_combination Finset.sum_smul_const_vsub_eq_vsub_affineCombination theorem affineCombination_sdiff_sub [DecidableEq ι] {s₂ : Finset ι} (h : s₂ ⊆ s) (w : ι → k) (p : ι → P) : (s \ s₂).affineCombination k p w -ᵥ s₂.affineCombination k p (-w) = s.weightedVSub p w := by simp_rw [affineCombination_apply, vadd_vsub_vadd_cancel_right] exact s.weightedVSub_sdiff_sub h _ _ #align finset.affine_combination_sdiff_sub Finset.affineCombination_sdiff_sub theorem affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one {w : ι → k} {p : ι → P} (hw : s.weightedVSub p w = (0 : V)) {i : ι} [DecidablePred (· ≠ i)] (his : i ∈ s) (hwi : w i = -1) : (s.filter (· ≠ i)).affineCombination k p w = p i := by classical rw [← @vsub_eq_zero_iff_eq V, ← hw, ← s.affineCombination_sdiff_sub (singleton_subset_iff.2 his), sdiff_singleton_eq_erase, ← filter_ne'] congr refine (affineCombination_of_eq_one_of_eq_zero _ _ _ (mem_singleton_self _) ?_ ?_).symm · simp [hwi] · simp #align finset.affine_combination_eq_of_weighted_vsub_eq_zero_of_eq_neg_one Finset.affineCombination_eq_of_weightedVSub_eq_zero_of_eq_neg_one theorem affineCombination_subtype_eq_filter (w : ι → k) (p : ι → P) (pred : ι → Prop) [DecidablePred pred] : ((s.subtype pred).affineCombination k (fun i => p i) fun i => w i) = (s.filter pred).affineCombination k p w := by rw [affineCombination_apply, affineCombination_apply, weightedVSubOfPoint_subtype_eq_filter] #align finset.affine_combination_subtype_eq_filter Finset.affineCombination_subtype_eq_filter theorem affineCombination_filter_of_ne (w : ι → k) (p : ι → P) {pred : ι → Prop} [DecidablePred pred] (h : ∀ i ∈ s, w i ≠ 0 → pred i) : (s.filter pred).affineCombination k p w = s.affineCombination k p w := by rw [affineCombination_apply, affineCombination_apply, s.weightedVSubOfPoint_filter_of_ne _ _ _ h] #align finset.affine_combination_filter_of_ne Finset.affineCombination_filter_of_ne theorem eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype {v : V} {x : k} {s : Set ι} {p : ι → P} {b : P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = x ∧ v = fs.weightedVSubOfPoint p b w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = x ∧ v = fs.weightedVSubOfPoint (fun i : s => p i) b w := by classical simp_rw [weightedVSubOfPoint_apply] constructor · rintro ⟨fs, hfs, w, rfl, rfl⟩ exact ⟨fs.subtype s, fun i => w i, sum_subtype_of_mem _ hfs, (sum_subtype_of_mem _ hfs).symm⟩ · rintro ⟨fs, w, rfl, rfl⟩ refine ⟨fs.map (Function.Embedding.subtype _), map_subtype_subset _, fun i => if h : i ∈ s then w ⟨i, h⟩ else 0, ?_, ?_⟩ <;> simp #align finset.eq_weighted_vsub_of_point_subset_iff_eq_weighted_vsub_of_point_subtype Finset.eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype variable (k) theorem eq_weightedVSub_subset_iff_eq_weightedVSub_subtype {v : V} {s : Set ι} {p : ι → P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = 0 ∧ v = fs.weightedVSub p w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = 0 ∧ v = fs.weightedVSub (fun i : s => p i) w := eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype #align finset.eq_weighted_vsub_subset_iff_eq_weighted_vsub_subtype Finset.eq_weightedVSub_subset_iff_eq_weightedVSub_subtype variable (V)
Mathlib/LinearAlgebra/AffineSpace/Combination.lean
615
622
theorem eq_affineCombination_subset_iff_eq_affineCombination_subtype {p0 : P} {s : Set ι} {p : ι → P} : (∃ fs : Finset ι, ↑fs ⊆ s ∧ ∃ w : ι → k, ∑ i ∈ fs, w i = 1 ∧ p0 = fs.affineCombination k p w) ↔ ∃ (fs : Finset s) (w : s → k), ∑ i ∈ fs, w i = 1 ∧ p0 = fs.affineCombination k (fun i : s => p i) w := by
simp_rw [affineCombination_apply, eq_vadd_iff_vsub_eq] exact eq_weightedVSubOfPoint_subset_iff_eq_weightedVSubOfPoint_subtype
import Mathlib.Topology.Separation open Topology Filter Set TopologicalSpace section Basic variable {α : Type*} [TopologicalSpace α] {C : Set α} theorem AccPt.nhds_inter {x : α} {U : Set α} (h_acc : AccPt x (𝓟 C)) (hU : U ∈ 𝓝 x) : AccPt x (𝓟 (U ∩ C)) := by have : 𝓝[≠] x ≤ 𝓟 U := by rw [le_principal_iff] exact mem_nhdsWithin_of_mem_nhds hU rw [AccPt, ← inf_principal, ← inf_assoc, inf_of_le_left this] exact h_acc #align acc_pt.nhds_inter AccPt.nhds_inter def Preperfect (C : Set α) : Prop := ∀ x ∈ C, AccPt x (𝓟 C) #align preperfect Preperfect @[mk_iff perfect_def] structure Perfect (C : Set α) : Prop where closed : IsClosed C acc : Preperfect C #align perfect Perfect theorem preperfect_iff_nhds : Preperfect C ↔ ∀ x ∈ C, ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by simp only [Preperfect, accPt_iff_nhds] #align preperfect_iff_nhds preperfect_iff_nhds section Preperfect theorem Preperfect.open_inter {U : Set α} (hC : Preperfect C) (hU : IsOpen U) : Preperfect (U ∩ C) := by rintro x ⟨xU, xC⟩ apply (hC _ xC).nhds_inter exact hU.mem_nhds xU #align preperfect.open_inter Preperfect.open_inter theorem Preperfect.perfect_closure (hC : Preperfect C) : Perfect (closure C) := by constructor; · exact isClosed_closure intro x hx by_cases h : x ∈ C <;> apply AccPt.mono _ (principal_mono.mpr subset_closure) · exact hC _ h have : {x}ᶜ ∩ C = C := by simp [h] rw [AccPt, nhdsWithin, inf_assoc, inf_principal, this] rw [closure_eq_cluster_pts] at hx exact hx #align preperfect.perfect_closure Preperfect.perfect_closure theorem preperfect_iff_perfect_closure [T1Space α] : Preperfect C ↔ Perfect (closure C) := by constructor <;> intro h · exact h.perfect_closure intro x xC have H : AccPt x (𝓟 (closure C)) := h.acc _ (subset_closure xC) rw [accPt_iff_frequently] at * have : ∀ y, y ≠ x ∧ y ∈ closure C → ∃ᶠ z in 𝓝 y, z ≠ x ∧ z ∈ C := by rintro y ⟨hyx, yC⟩ simp only [← mem_compl_singleton_iff, and_comm, ← frequently_nhdsWithin_iff, hyx.nhdsWithin_compl_singleton, ← mem_closure_iff_frequently] exact yC rw [← frequently_frequently_nhds] exact H.mono this #align preperfect_iff_perfect_closure preperfect_iff_perfect_closure theorem Perfect.closure_nhds_inter {U : Set α} (hC : Perfect C) (x : α) (xC : x ∈ C) (xU : x ∈ U) (Uop : IsOpen U) : Perfect (closure (U ∩ C)) ∧ (closure (U ∩ C)).Nonempty := by constructor · apply Preperfect.perfect_closure exact hC.acc.open_inter Uop apply Nonempty.closure exact ⟨x, ⟨xU, xC⟩⟩ #align perfect.closure_nhds_inter Perfect.closure_nhds_inter
Mathlib/Topology/Perfect.lean
158
177
theorem Perfect.splitting [T25Space α] (hC : Perfect C) (hnonempty : C.Nonempty) : ∃ C₀ C₁ : Set α, (Perfect C₀ ∧ C₀.Nonempty ∧ C₀ ⊆ C) ∧ (Perfect C₁ ∧ C₁.Nonempty ∧ C₁ ⊆ C) ∧ Disjoint C₀ C₁ := by
cases' hnonempty with y yC obtain ⟨x, xC, hxy⟩ : ∃ x ∈ C, x ≠ y := by have := hC.acc _ yC rw [accPt_iff_nhds] at this rcases this univ univ_mem with ⟨x, xC, hxy⟩ exact ⟨x, xC.2, hxy⟩ obtain ⟨U, xU, Uop, V, yV, Vop, hUV⟩ := exists_open_nhds_disjoint_closure hxy use closure (U ∩ C), closure (V ∩ C) constructor <;> rw [← and_assoc] · refine ⟨hC.closure_nhds_inter x xC xU Uop, ?_⟩ rw [hC.closed.closure_subset_iff] exact inter_subset_right constructor · refine ⟨hC.closure_nhds_inter y yC yV Vop, ?_⟩ rw [hC.closed.closure_subset_iff] exact inter_subset_right apply Disjoint.mono _ _ hUV <;> apply closure_mono <;> exact inter_subset_left
import Mathlib.Algebra.Algebra.Bilinear import Mathlib.RingTheory.Localization.Basic #align_import algebra.module.localized_module from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86" namespace LocalizedModule universe u v variable {R : Type u} [CommSemiring R] (S : Submonoid R) variable (M : Type v) [AddCommMonoid M] [Module R M] variable (T : Type*) [CommSemiring T] [Algebra R T] [IsLocalization S T] def r (a b : M × S) : Prop := ∃ u : S, u • b.2 • a.1 = u • a.2 • b.1 #align localized_module.r LocalizedModule.r theorem r.isEquiv : IsEquiv _ (r S M) := { refl := fun ⟨m, s⟩ => ⟨1, by rw [one_smul]⟩ trans := fun ⟨m1, s1⟩ ⟨m2, s2⟩ ⟨m3, s3⟩ ⟨u1, hu1⟩ ⟨u2, hu2⟩ => by use u1 * u2 * s2 -- Put everything in the same shape, sorting the terms using `simp` have hu1' := congr_arg ((u2 * s3) • ·) hu1.symm have hu2' := congr_arg ((u1 * s1) • ·) hu2.symm simp only [← mul_smul, smul_assoc, mul_assoc, mul_comm, mul_left_comm] at hu1' hu2' ⊢ rw [hu2', hu1'] symm := fun ⟨m1, s1⟩ ⟨m2, s2⟩ ⟨u, hu⟩ => ⟨u, hu.symm⟩ } #align localized_module.r.is_equiv LocalizedModule.r.isEquiv instance r.setoid : Setoid (M × S) where r := r S M iseqv := ⟨(r.isEquiv S M).refl, (r.isEquiv S M).symm _ _, (r.isEquiv S M).trans _ _ _⟩ #align localized_module.r.setoid LocalizedModule.r.setoid -- TODO: change `Localization` to use `r'` instead of `r` so that the two types are also defeq, -- `Localization S = LocalizedModule S R`. example {R} [CommSemiring R] (S : Submonoid R) : ⇑(Localization.r' S) = LocalizedModule.r S R := rfl -- Porting note(#5171): @[nolint has_nonempty_instance] def _root_.LocalizedModule : Type max u v := Quotient (r.setoid S M) #align localized_module LocalizedModule section variable {M S} def mk (m : M) (s : S) : LocalizedModule S M := Quotient.mk' ⟨m, s⟩ #align localized_module.mk LocalizedModule.mk theorem mk_eq {m m' : M} {s s' : S} : mk m s = mk m' s' ↔ ∃ u : S, u • s' • m = u • s • m' := Quotient.eq' #align localized_module.mk_eq LocalizedModule.mk_eq @[elab_as_elim] theorem induction_on {β : LocalizedModule S M → Prop} (h : ∀ (m : M) (s : S), β (mk m s)) : ∀ x : LocalizedModule S M, β x := by rintro ⟨⟨m, s⟩⟩ exact h m s #align localized_module.induction_on LocalizedModule.induction_on @[elab_as_elim] theorem induction_on₂ {β : LocalizedModule S M → LocalizedModule S M → Prop} (h : ∀ (m m' : M) (s s' : S), β (mk m s) (mk m' s')) : ∀ x y, β x y := by rintro ⟨⟨m, s⟩⟩ ⟨⟨m', s'⟩⟩ exact h m m' s s' #align localized_module.induction_on₂ LocalizedModule.induction_on₂ def liftOn {α : Type*} (x : LocalizedModule S M) (f : M × S → α) (wd : ∀ (p p' : M × S), p ≈ p' → f p = f p') : α := Quotient.liftOn x f wd #align localized_module.lift_on LocalizedModule.liftOn theorem liftOn_mk {α : Type*} {f : M × S → α} (wd : ∀ (p p' : M × S), p ≈ p' → f p = f p') (m : M) (s : S) : liftOn (mk m s) f wd = f ⟨m, s⟩ := by convert Quotient.liftOn_mk f wd ⟨m, s⟩ #align localized_module.lift_on_mk LocalizedModule.liftOn_mk def liftOn₂ {α : Type*} (x y : LocalizedModule S M) (f : M × S → M × S → α) (wd : ∀ (p q p' q' : M × S), p ≈ p' → q ≈ q' → f p q = f p' q') : α := Quotient.liftOn₂ x y f wd #align localized_module.lift_on₂ LocalizedModule.liftOn₂ theorem liftOn₂_mk {α : Type*} (f : M × S → M × S → α) (wd : ∀ (p q p' q' : M × S), p ≈ p' → q ≈ q' → f p q = f p' q') (m m' : M) (s s' : S) : liftOn₂ (mk m s) (mk m' s') f wd = f ⟨m, s⟩ ⟨m', s'⟩ := by convert Quotient.liftOn₂_mk f wd _ _ #align localized_module.lift_on₂_mk LocalizedModule.liftOn₂_mk instance : Zero (LocalizedModule S M) := ⟨mk 0 1⟩
Mathlib/Algebra/Module/LocalizedModule.lean
142
145
theorem subsingleton (h : 0 ∈ S) : Subsingleton (LocalizedModule S M) := by
refine ⟨fun a b ↦ ?_⟩ induction a,b using LocalizedModule.induction_on₂ exact mk_eq.mpr ⟨⟨0, h⟩, by simp only [Submonoid.mk_smul, zero_smul]⟩
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]
Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean
80
80
theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by
simp [volume_val]
import Mathlib.Tactic.NormNum import Mathlib.Tactic.TryThis import Mathlib.Util.AtomM set_option autoImplicit true namespace Mathlib.Tactic.Abel open Lean Elab Meta Tactic Qq initialize registerTraceClass `abel initialize registerTraceClass `abel.detail structure Context where α : Expr univ : Level α0 : Expr isGroup : Bool inst : Expr def mkContext (e : Expr) : MetaM Context := do let α ← inferType e let c ← synthInstance (← mkAppM ``AddCommMonoid #[α]) let cg ← synthInstance? (← mkAppM ``AddCommGroup #[α]) let u ← mkFreshLevelMVar _ ← isDefEq (.sort (.succ u)) (← inferType α) let α0 ← Expr.ofNat α 0 match cg with | some cg => return ⟨α, u, α0, true, cg⟩ | _ => return ⟨α, u, α0, false, c⟩ abbrev M := ReaderT Context AtomM def Context.app (c : Context) (n : Name) (inst : Expr) : Array Expr → Expr := mkAppN (((@Expr.const n [c.univ]).app c.α).app inst) def Context.mkApp (c : Context) (n inst : Name) (l : Array Expr) : MetaM Expr := do return c.app n (← synthInstance ((Expr.const inst [c.univ]).app c.α)) l def addG : Name → Name | .str p s => .str p (s ++ "g") | n => n def iapp (n : Name) (xs : Array Expr) : M Expr := do let c ← read return c.app (if c.isGroup then addG n else n) c.inst xs def term {α} [AddCommMonoid α] (n : ℕ) (x a : α) : α := n • x + a def termg {α} [AddCommGroup α] (n : ℤ) (x a : α) : α := n • x + a def mkTerm (n x a : Expr) : M Expr := iapp ``term #[n, x, a] def intToExpr (n : ℤ) : M Expr := do Expr.ofInt (mkConst (if (← read).isGroup then ``Int else ``Nat) []) n inductive NormalExpr : Type | zero (e : Expr) : NormalExpr | nterm (e : Expr) (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : NormalExpr deriving Inhabited def NormalExpr.e : NormalExpr → Expr | .zero e => e | .nterm e .. => e instance : Coe NormalExpr Expr where coe := NormalExpr.e def NormalExpr.term' (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : M NormalExpr := return .nterm (← mkTerm n.1 x.2 a) n x a def NormalExpr.zero' : M NormalExpr := return NormalExpr.zero (← read).α0 open NormalExpr theorem const_add_term {α} [AddCommMonoid α] (k n x a a') (h : k + a = a') : k + @term α _ n x a = term n x a' := by simp [h.symm, term, add_comm, add_assoc] theorem const_add_termg {α} [AddCommGroup α] (k n x a a') (h : k + a = a') : k + @termg α _ n x a = termg n x a' := by simp [h.symm, termg, add_comm, add_assoc] theorem term_add_const {α} [AddCommMonoid α] (n x a k a') (h : a + k = a') : @term α _ n x a + k = term n x a' := by simp [h.symm, term, add_assoc]
Mathlib/Tactic/Abel.lean
140
142
theorem term_add_constg {α} [AddCommGroup α] (n x a k a') (h : a + k = a') : @termg α _ n x a + k = termg n x a' := by
simp [h.symm, termg, add_assoc]
import Mathlib.Algebra.Associated import Mathlib.Algebra.Order.Monoid.Unbundled.Pow import Mathlib.Algebra.Ring.Int import Mathlib.Data.Nat.Factorial.Basic import Mathlib.Data.Nat.GCD.Basic import Mathlib.Order.Bounds.Basic #align_import data.nat.prime from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1" open Bool Subtype open Nat namespace Nat variable {n : ℕ} -- Porting note (#11180): removed @[pp_nodot] def Prime (p : ℕ) := Irreducible p #align nat.prime Nat.Prime theorem irreducible_iff_nat_prime (a : ℕ) : Irreducible a ↔ Nat.Prime a := Iff.rfl #align irreducible_iff_nat_prime Nat.irreducible_iff_nat_prime @[aesop safe destruct] theorem not_prime_zero : ¬Prime 0 | h => h.ne_zero rfl #align nat.not_prime_zero Nat.not_prime_zero @[aesop safe destruct] theorem not_prime_one : ¬Prime 1 | h => h.ne_one rfl #align nat.not_prime_one Nat.not_prime_one theorem Prime.ne_zero {n : ℕ} (h : Prime n) : n ≠ 0 := Irreducible.ne_zero h #align nat.prime.ne_zero Nat.Prime.ne_zero theorem Prime.pos {p : ℕ} (pp : Prime p) : 0 < p := Nat.pos_of_ne_zero pp.ne_zero #align nat.prime.pos Nat.Prime.pos theorem Prime.two_le : ∀ {p : ℕ}, Prime p → 2 ≤ p | 0, h => (not_prime_zero h).elim | 1, h => (not_prime_one h).elim | _ + 2, _ => le_add_self #align nat.prime.two_le Nat.Prime.two_le theorem Prime.one_lt {p : ℕ} : Prime p → 1 < p := Prime.two_le #align nat.prime.one_lt Nat.Prime.one_lt lemma Prime.one_le {p : ℕ} (hp : p.Prime) : 1 ≤ p := hp.one_lt.le instance Prime.one_lt' (p : ℕ) [hp : Fact p.Prime] : Fact (1 < p) := ⟨hp.1.one_lt⟩ #align nat.prime.one_lt' Nat.Prime.one_lt' theorem Prime.ne_one {p : ℕ} (hp : p.Prime) : p ≠ 1 := hp.one_lt.ne' #align nat.prime.ne_one Nat.Prime.ne_one theorem Prime.eq_one_or_self_of_dvd {p : ℕ} (pp : p.Prime) (m : ℕ) (hm : m ∣ p) : m = 1 ∨ m = p := by obtain ⟨n, hn⟩ := hm have := pp.isUnit_or_isUnit hn rw [Nat.isUnit_iff, Nat.isUnit_iff] at this apply Or.imp_right _ this rintro rfl rw [hn, mul_one] #align nat.prime.eq_one_or_self_of_dvd Nat.Prime.eq_one_or_self_of_dvd theorem prime_def_lt'' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, m ∣ p → m = 1 ∨ m = p := by refine ⟨fun h => ⟨h.two_le, h.eq_one_or_self_of_dvd⟩, fun h => ?_⟩ -- Porting note: needed to make ℕ explicit have h1 := (@one_lt_two ℕ ..).trans_le h.1 refine ⟨mt Nat.isUnit_iff.mp h1.ne', fun a b hab => ?_⟩ simp only [Nat.isUnit_iff] apply Or.imp_right _ (h.2 a _) · rintro rfl rw [← mul_right_inj' (pos_of_gt h1).ne', ← hab, mul_one] · rw [hab] exact dvd_mul_right _ _ #align nat.prime_def_lt'' Nat.prime_def_lt'' theorem prime_def_lt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m < p, m ∣ p → m = 1 := prime_def_lt''.trans <| and_congr_right fun p2 => forall_congr' fun _ => ⟨fun h l d => (h d).resolve_right (ne_of_lt l), fun h d => (le_of_dvd (le_of_succ_le p2) d).lt_or_eq_dec.imp_left fun l => h l d⟩ #align nat.prime_def_lt Nat.prime_def_lt theorem prime_def_lt' {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m < p → ¬m ∣ p := prime_def_lt.trans <| and_congr_right fun p2 => forall_congr' fun m => ⟨fun h m2 l d => not_lt_of_ge m2 ((h l d).symm ▸ by decide), fun h l d => by rcases m with (_ | _ | m) · rw [eq_zero_of_zero_dvd d] at p2 revert p2 decide · rfl · exact (h le_add_self l).elim d⟩ #align nat.prime_def_lt' Nat.prime_def_lt' theorem prime_def_le_sqrt {p : ℕ} : Prime p ↔ 2 ≤ p ∧ ∀ m, 2 ≤ m → m ≤ sqrt p → ¬m ∣ p := prime_def_lt'.trans <| and_congr_right fun p2 => ⟨fun a m m2 l => a m m2 <| lt_of_le_of_lt l <| sqrt_lt_self p2, fun a => have : ∀ {m k : ℕ}, m ≤ k → 1 < m → p ≠ m * k := fun {m k} mk m1 e => a m m1 (le_sqrt.2 (e.symm ▸ Nat.mul_le_mul_left m mk)) ⟨k, e⟩ fun m m2 l ⟨k, e⟩ => by rcases le_total m k with mk | km · exact this mk m2 e · rw [mul_comm] at e refine this km (lt_of_mul_lt_mul_right ?_ (zero_le m)) e rwa [one_mul, ← e]⟩ #align nat.prime_def_le_sqrt Nat.prime_def_le_sqrt theorem prime_of_coprime (n : ℕ) (h1 : 1 < n) (h : ∀ m < n, m ≠ 0 → n.Coprime m) : Prime n := by refine prime_def_lt.mpr ⟨h1, fun m mlt mdvd => ?_⟩ have hm : m ≠ 0 := by rintro rfl rw [zero_dvd_iff] at mdvd exact mlt.ne' mdvd exact (h m mlt hm).symm.eq_one_of_dvd mdvd #align nat.prime_of_coprime Nat.prime_of_coprime section @[local instance] def decidablePrime1 (p : ℕ) : Decidable (Prime p) := decidable_of_iff' _ prime_def_lt' #align nat.decidable_prime_1 Nat.decidablePrime1 theorem prime_two : Prime 2 := by decide #align nat.prime_two Nat.prime_two theorem prime_three : Prime 3 := by decide #align nat.prime_three Nat.prime_three theorem prime_five : Prime 5 := by decide theorem Prime.five_le_of_ne_two_of_ne_three {p : ℕ} (hp : p.Prime) (h_two : p ≠ 2) (h_three : p ≠ 3) : 5 ≤ p := by by_contra! h revert h_two h_three hp -- Porting note (#11043): was `decide!` match p with | 0 => decide | 1 => decide | 2 => decide | 3 => decide | 4 => decide | n + 5 => exact (h.not_le le_add_self).elim #align nat.prime.five_le_of_ne_two_of_ne_three Nat.Prime.five_le_of_ne_two_of_ne_three end theorem Prime.pred_pos {p : ℕ} (pp : Prime p) : 0 < pred p := lt_pred_iff.2 pp.one_lt #align nat.prime.pred_pos Nat.Prime.pred_pos theorem succ_pred_prime {p : ℕ} (pp : Prime p) : succ (pred p) = p := succ_pred_eq_of_pos pp.pos #align nat.succ_pred_prime Nat.succ_pred_prime theorem dvd_prime {p m : ℕ} (pp : Prime p) : m ∣ p ↔ m = 1 ∨ m = p := ⟨fun d => pp.eq_one_or_self_of_dvd m d, fun h => h.elim (fun e => e.symm ▸ one_dvd _) fun e => e.symm ▸ dvd_rfl⟩ #align nat.dvd_prime Nat.dvd_prime theorem dvd_prime_two_le {p m : ℕ} (pp : Prime p) (H : 2 ≤ m) : m ∣ p ↔ m = p := (dvd_prime pp).trans <| or_iff_right_of_imp <| Not.elim <| ne_of_gt H #align nat.dvd_prime_two_le Nat.dvd_prime_two_le theorem prime_dvd_prime_iff_eq {p q : ℕ} (pp : p.Prime) (qp : q.Prime) : p ∣ q ↔ p = q := dvd_prime_two_le qp (Prime.two_le pp) #align nat.prime_dvd_prime_iff_eq Nat.prime_dvd_prime_iff_eq theorem Prime.not_dvd_one {p : ℕ} (pp : Prime p) : ¬p ∣ 1 := Irreducible.not_dvd_one pp #align nat.prime.not_dvd_one Nat.Prime.not_dvd_one theorem prime_mul_iff {a b : ℕ} : Nat.Prime (a * b) ↔ a.Prime ∧ b = 1 ∨ b.Prime ∧ a = 1 := by simp only [iff_self_iff, irreducible_mul_iff, ← irreducible_iff_nat_prime, Nat.isUnit_iff] #align nat.prime_mul_iff Nat.prime_mul_iff
Mathlib/Data/Nat/Prime.lean
223
224
theorem not_prime_mul {a b : ℕ} (a1 : a ≠ 1) (b1 : b ≠ 1) : ¬Prime (a * b) := by
simp [prime_mul_iff, _root_.not_or, *]
import Mathlib.CategoryTheory.Galois.GaloisObjects import Mathlib.CategoryTheory.Limits.Shapes.CombinedProducts universe u₁ u₂ w namespace CategoryTheory open Limits Functor variable {C : Type u₁} [Category.{u₂} C] namespace PreGaloisCategory variable [GaloisCategory C] section Decomposition private lemma has_decomp_connected_components_aux_conn (X : C) [IsConnected X] : ∃ (ι : Type) (f : ι → C) (g : (i : ι) → (f i) ⟶ X) (_ : IsColimit (Cofan.mk X g)), (∀ i, IsConnected (f i)) ∧ Finite ι := by refine ⟨Unit, fun _ ↦ X, fun _ ↦ 𝟙 X, mkCofanColimit _ (fun s ↦ s.inj ()), ?_⟩ exact ⟨fun _ ↦ inferInstance, inferInstance⟩ private lemma has_decomp_connected_components_aux_initial (X : C) (h : IsInitial X) : ∃ (ι : Type) (f : ι → C) (g : (i : ι) → (f i) ⟶ X) (_ : IsColimit (Cofan.mk X g)), (∀ i, IsConnected (f i)) ∧ Finite ι := by refine ⟨Empty, fun _ ↦ X, fun _ ↦ 𝟙 X, ?_⟩ use mkCofanColimit _ (fun s ↦ IsInitial.to h s.pt) (fun s ↦ by aesop) (fun s m _ ↦ IsInitial.hom_ext h m _) exact ⟨by simp only [IsEmpty.forall_iff], inferInstance⟩ private lemma has_decomp_connected_components_aux (F : C ⥤ FintypeCat.{w}) [FiberFunctor F] (n : ℕ) : ∀ (X : C), n = Nat.card (F.obj X) → ∃ (ι : Type) (f : ι → C) (g : (i : ι) → (f i) ⟶ X) (_ : IsColimit (Cofan.mk X g)), (∀ i, IsConnected (f i)) ∧ Finite ι := by induction' n using Nat.strongRecOn with n hi intro X hn by_cases h : IsConnected X · exact has_decomp_connected_components_aux_conn X by_cases nhi : IsInitial X → False · obtain ⟨Y, v, hni, hvmono, hvnoiso⟩ := has_non_trivial_subobject_of_not_isConnected_of_not_initial X h nhi obtain ⟨Z, u, ⟨c⟩⟩ := PreGaloisCategory.monoInducesIsoOnDirectSummand v let t : ColimitCocone (pair Y Z) := { cocone := BinaryCofan.mk v u, isColimit := c } have hn1 : Nat.card (F.obj Y) < n := by rw [hn] exact lt_card_fiber_of_mono_of_notIso F v hvnoiso have i : X ≅ Y ⨿ Z := (colimit.isoColimitCocone t).symm have hnn : Nat.card (F.obj X) = Nat.card (F.obj Y) + Nat.card (F.obj Z) := by rw [card_fiber_eq_of_iso F i] exact card_fiber_coprod_eq_sum F Y Z have hn2 : Nat.card (F.obj Z) < n := by rw [hn, hnn, lt_add_iff_pos_left] exact Nat.pos_of_ne_zero (non_zero_card_fiber_of_not_initial F Y hni) let ⟨ι₁, f₁, g₁, hc₁, hf₁, he₁⟩ := hi (Nat.card (F.obj Y)) hn1 Y rfl let ⟨ι₂, f₂, g₂, hc₂, hf₂, he₂⟩ := hi (Nat.card (F.obj Z)) hn2 Z rfl refine ⟨ι₁ ⊕ ι₂, Sum.elim f₁ f₂, Cofan.combPairHoms (Cofan.mk Y g₁) (Cofan.mk Z g₂) (BinaryCofan.mk v u), ?_⟩ use Cofan.combPairIsColimit hc₁ hc₂ c refine ⟨fun i ↦ ?_, inferInstance⟩ cases i · exact hf₁ _ · exact hf₂ _ · simp only [not_forall, not_false_eq_true] at nhi obtain ⟨hi⟩ := nhi exact has_decomp_connected_components_aux_initial X hi theorem has_decomp_connected_components (X : C) : ∃ (ι : Type) (f : ι → C) (g : (i : ι) → f i ⟶ X) (_ : IsColimit (Cofan.mk X g)), (∀ i, IsConnected (f i)) ∧ Finite ι := by let F := GaloisCategory.getFiberFunctor C exact has_decomp_connected_components_aux F (Nat.card <| F.obj X) X rfl
Mathlib/CategoryTheory/Galois/Decomposition.lean
118
121
theorem has_decomp_connected_components' (X : C) : ∃ (ι : Type) (_ : Finite ι) (f : ι → C) (_ : ∐ f ≅ X), ∀ i, IsConnected (f i) := by
obtain ⟨ι, f, g, hl, hc, hf⟩ := has_decomp_connected_components X exact ⟨ι, hf, f, colimit.isoColimitCocone ⟨Cofan.mk X g, hl⟩, hc⟩
import Mathlib.Algebra.Order.Pointwise import Mathlib.Analysis.NormedSpace.SphereNormEquiv import Mathlib.Analysis.SpecialFunctions.Integrals import Mathlib.MeasureTheory.Constructions.Prod.Integral import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar open Set Function Metric MeasurableSpace intervalIntegral open scoped Pointwise ENNReal NNReal local notation "dim" => FiniteDimensional.finrank ℝ noncomputable section namespace MeasureTheory variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E] namespace Measure def toSphere (μ : Measure E) : Measure (sphere (0 : E) 1) := dim E • ((μ.comap (Subtype.val ∘ (homeomorphUnitSphereProd E).symm)).restrict (univ ×ˢ Iio ⟨1, mem_Ioi.2 one_pos⟩)).fst variable (μ : Measure E)
Mathlib/MeasureTheory/Constructions/HaarToSphere.lean
49
53
theorem toSphere_apply_aux (s : Set (sphere (0 : E) 1)) (r : Ioi (0 : ℝ)) : μ ((↑) '' (homeomorphUnitSphereProd E ⁻¹' s ×ˢ Iio r)) = μ (Ioo (0 : ℝ) r • ((↑) '' s)) := by
rw [← image2_smul, image2_image_right, ← Homeomorph.image_symm, image_image, ← image_subtype_val_Ioi_Iio, image2_image_left, image2_swap, ← image_prod] rfl
import Mathlib.Tactic.Ring import Mathlib.Data.PNat.Prime #align_import data.pnat.xgcd from "leanprover-community/mathlib"@"6afc9b06856ad973f6a2619e3e8a0a8d537a58f2" open Nat namespace PNat structure XgcdType where wp : ℕ x : ℕ y : ℕ zp : ℕ ap : ℕ bp : ℕ deriving Inhabited #align pnat.xgcd_type PNat.XgcdType namespace XgcdType variable (u : XgcdType) instance : SizeOf XgcdType := ⟨fun u => u.bp⟩ instance : Repr XgcdType where reprPrec | g, _ => s!"[[[{repr (g.wp + 1)}, {repr g.x}], \ [{repr g.y}, {repr (g.zp + 1)}]], \ [{repr (g.ap + 1)}, {repr (g.bp + 1)}]]" def mk' (w : ℕ+) (x : ℕ) (y : ℕ) (z : ℕ+) (a : ℕ+) (b : ℕ+) : XgcdType := mk w.val.pred x y z.val.pred a.val.pred b.val.pred #align pnat.xgcd_type.mk' PNat.XgcdType.mk' def w : ℕ+ := succPNat u.wp #align pnat.xgcd_type.w PNat.XgcdType.w def z : ℕ+ := succPNat u.zp #align pnat.xgcd_type.z PNat.XgcdType.z def a : ℕ+ := succPNat u.ap #align pnat.xgcd_type.a PNat.XgcdType.a def b : ℕ+ := succPNat u.bp #align pnat.xgcd_type.b PNat.XgcdType.b def r : ℕ := (u.ap + 1) % (u.bp + 1) #align pnat.xgcd_type.r PNat.XgcdType.r def q : ℕ := (u.ap + 1) / (u.bp + 1) #align pnat.xgcd_type.q PNat.XgcdType.q def qp : ℕ := u.q - 1 #align pnat.xgcd_type.qp PNat.XgcdType.qp def vp : ℕ × ℕ := ⟨u.wp + u.x + u.ap + u.wp * u.ap + u.x * u.bp, u.y + u.zp + u.bp + u.y * u.ap + u.zp * u.bp⟩ #align pnat.xgcd_type.vp PNat.XgcdType.vp def v : ℕ × ℕ := ⟨u.w * u.a + u.x * u.b, u.y * u.a + u.z * u.b⟩ #align pnat.xgcd_type.v PNat.XgcdType.v def succ₂ (t : ℕ × ℕ) : ℕ × ℕ := ⟨t.1.succ, t.2.succ⟩ #align pnat.xgcd_type.succ₂ PNat.XgcdType.succ₂ theorem v_eq_succ_vp : u.v = succ₂ u.vp := by ext <;> dsimp [v, vp, w, z, a, b, succ₂] <;> ring_nf #align pnat.xgcd_type.v_eq_succ_vp PNat.XgcdType.v_eq_succ_vp def IsSpecial : Prop := u.wp + u.zp + u.wp * u.zp = u.x * u.y #align pnat.xgcd_type.is_special PNat.XgcdType.IsSpecial def IsSpecial' : Prop := u.w * u.z = succPNat (u.x * u.y) #align pnat.xgcd_type.is_special' PNat.XgcdType.IsSpecial' theorem isSpecial_iff : u.IsSpecial ↔ u.IsSpecial' := by dsimp [IsSpecial, IsSpecial'] let ⟨wp, x, y, zp, ap, bp⟩ := u constructor <;> intro h <;> simp [w, z, succPNat] at * <;> simp only [← coe_inj, mul_coe, mk_coe] at * · simp_all [← h, Nat.mul, Nat.succ_eq_add_one]; ring · simp [Nat.succ_eq_add_one, Nat.mul_add, Nat.add_mul, ← Nat.add_assoc] at h; rw [← h]; ring -- Porting note: Old code has been removed as it was much more longer. #align pnat.xgcd_type.is_special_iff PNat.XgcdType.isSpecial_iff def IsReduced : Prop := u.ap = u.bp #align pnat.xgcd_type.is_reduced PNat.XgcdType.IsReduced def IsReduced' : Prop := u.a = u.b #align pnat.xgcd_type.is_reduced' PNat.XgcdType.IsReduced' theorem isReduced_iff : u.IsReduced ↔ u.IsReduced' := succPNat_inj.symm #align pnat.xgcd_type.is_reduced_iff PNat.XgcdType.isReduced_iff def flip : XgcdType where wp := u.zp x := u.y y := u.x zp := u.wp ap := u.bp bp := u.ap #align pnat.xgcd_type.flip PNat.XgcdType.flip @[simp] theorem flip_w : (flip u).w = u.z := rfl #align pnat.xgcd_type.flip_w PNat.XgcdType.flip_w @[simp] theorem flip_x : (flip u).x = u.y := rfl #align pnat.xgcd_type.flip_x PNat.XgcdType.flip_x @[simp] theorem flip_y : (flip u).y = u.x := rfl #align pnat.xgcd_type.flip_y PNat.XgcdType.flip_y @[simp] theorem flip_z : (flip u).z = u.w := rfl #align pnat.xgcd_type.flip_z PNat.XgcdType.flip_z @[simp] theorem flip_a : (flip u).a = u.b := rfl #align pnat.xgcd_type.flip_a PNat.XgcdType.flip_a @[simp] theorem flip_b : (flip u).b = u.a := rfl #align pnat.xgcd_type.flip_b PNat.XgcdType.flip_b
Mathlib/Data/PNat/Xgcd.lean
217
219
theorem flip_isReduced : (flip u).IsReduced ↔ u.IsReduced := by
dsimp [IsReduced, flip] constructor <;> intro h <;> exact h.symm
import Mathlib.AlgebraicGeometry.Morphisms.Basic import Mathlib.Topology.LocalAtTarget #align_import algebraic_geometry.morphisms.universally_closed from "leanprover-community/mathlib"@"a8ae1b3f7979249a0af6bc7cf20c1f6bf656ca73" noncomputable section open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace universe v u namespace AlgebraicGeometry variable {X Y : Scheme.{u}} (f : X ⟶ Y) open CategoryTheory.MorphismProperty open AlgebraicGeometry.MorphismProperty (topologically) @[mk_iff] class UniversallyClosed (f : X ⟶ Y) : Prop where out : universally (topologically @IsClosedMap) f #align algebraic_geometry.universally_closed AlgebraicGeometry.UniversallyClosed
Mathlib/AlgebraicGeometry/Morphisms/UniversallyClosed.lean
45
46
theorem universallyClosed_eq : @UniversallyClosed = universally (topologically @IsClosedMap) := by
ext X Y f; rw [universallyClosed_iff]
import Mathlib.Data.List.Range import Mathlib.Data.List.Perm #align_import data.list.sigma from "leanprover-community/mathlib"@"f808feb6c18afddb25e66a71d317643cf7fb5fbb" universe u v namespace List variable {α : Type u} {β : α → Type v} {l l₁ l₂ : List (Sigma β)} def keys : List (Sigma β) → List α := map Sigma.fst #align list.keys List.keys @[simp] theorem keys_nil : @keys α β [] = [] := rfl #align list.keys_nil List.keys_nil @[simp] theorem keys_cons {s} {l : List (Sigma β)} : (s :: l).keys = s.1 :: l.keys := rfl #align list.keys_cons List.keys_cons theorem mem_keys_of_mem {s : Sigma β} {l : List (Sigma β)} : s ∈ l → s.1 ∈ l.keys := mem_map_of_mem Sigma.fst #align list.mem_keys_of_mem List.mem_keys_of_mem theorem exists_of_mem_keys {a} {l : List (Sigma β)} (h : a ∈ l.keys) : ∃ b : β a, Sigma.mk a b ∈ l := let ⟨⟨_, b'⟩, m, e⟩ := exists_of_mem_map h Eq.recOn e (Exists.intro b' m) #align list.exists_of_mem_keys List.exists_of_mem_keys theorem mem_keys {a} {l : List (Sigma β)} : a ∈ l.keys ↔ ∃ b : β a, Sigma.mk a b ∈ l := ⟨exists_of_mem_keys, fun ⟨_, h⟩ => mem_keys_of_mem h⟩ #align list.mem_keys List.mem_keys theorem not_mem_keys {a} {l : List (Sigma β)} : a ∉ l.keys ↔ ∀ b : β a, Sigma.mk a b ∉ l := (not_congr mem_keys).trans not_exists #align list.not_mem_keys List.not_mem_keys theorem not_eq_key {a} {l : List (Sigma β)} : a ∉ l.keys ↔ ∀ s : Sigma β, s ∈ l → a ≠ s.1 := Iff.intro (fun h₁ s h₂ e => absurd (mem_keys_of_mem h₂) (by rwa [e] at h₁)) fun f h₁ => let ⟨b, h₂⟩ := exists_of_mem_keys h₁ f _ h₂ rfl #align list.not_eq_key List.not_eq_key def NodupKeys (l : List (Sigma β)) : Prop := l.keys.Nodup #align list.nodupkeys List.NodupKeys theorem nodupKeys_iff_pairwise {l} : NodupKeys l ↔ Pairwise (fun s s' : Sigma β => s.1 ≠ s'.1) l := pairwise_map #align list.nodupkeys_iff_pairwise List.nodupKeys_iff_pairwise theorem NodupKeys.pairwise_ne {l} (h : NodupKeys l) : Pairwise (fun s s' : Sigma β => s.1 ≠ s'.1) l := nodupKeys_iff_pairwise.1 h #align list.nodupkeys.pairwise_ne List.NodupKeys.pairwise_ne @[simp] theorem nodupKeys_nil : @NodupKeys α β [] := Pairwise.nil #align list.nodupkeys_nil List.nodupKeys_nil @[simp] theorem nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} : NodupKeys (s :: l) ↔ s.1 ∉ l.keys ∧ NodupKeys l := by simp [keys, NodupKeys] #align list.nodupkeys_cons List.nodupKeys_cons theorem not_mem_keys_of_nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} (h : NodupKeys (s :: l)) : s.1 ∉ l.keys := (nodupKeys_cons.1 h).1 #align list.not_mem_keys_of_nodupkeys_cons List.not_mem_keys_of_nodupKeys_cons theorem nodupKeys_of_nodupKeys_cons {s : Sigma β} {l : List (Sigma β)} (h : NodupKeys (s :: l)) : NodupKeys l := (nodupKeys_cons.1 h).2 #align list.nodupkeys_of_nodupkeys_cons List.nodupKeys_of_nodupKeys_cons theorem NodupKeys.eq_of_fst_eq {l : List (Sigma β)} (nd : NodupKeys l) {s s' : Sigma β} (h : s ∈ l) (h' : s' ∈ l) : s.1 = s'.1 → s = s' := @Pairwise.forall_of_forall _ (fun s s' : Sigma β => s.1 = s'.1 → s = s') _ (fun _ _ H h => (H h.symm).symm) (fun _ _ _ => rfl) ((nodupKeys_iff_pairwise.1 nd).imp fun h h' => (h h').elim) _ h _ h' #align list.nodupkeys.eq_of_fst_eq List.NodupKeys.eq_of_fst_eq theorem NodupKeys.eq_of_mk_mem {a : α} {b b' : β a} {l : List (Sigma β)} (nd : NodupKeys l) (h : Sigma.mk a b ∈ l) (h' : Sigma.mk a b' ∈ l) : b = b' := by cases nd.eq_of_fst_eq h h' rfl; rfl #align list.nodupkeys.eq_of_mk_mem List.NodupKeys.eq_of_mk_mem theorem nodupKeys_singleton (s : Sigma β) : NodupKeys [s] := nodup_singleton _ #align list.nodupkeys_singleton List.nodupKeys_singleton theorem NodupKeys.sublist {l₁ l₂ : List (Sigma β)} (h : l₁ <+ l₂) : NodupKeys l₂ → NodupKeys l₁ := Nodup.sublist <| h.map _ #align list.nodupkeys.sublist List.NodupKeys.sublist protected theorem NodupKeys.nodup {l : List (Sigma β)} : NodupKeys l → Nodup l := Nodup.of_map _ #align list.nodupkeys.nodup List.NodupKeys.nodup theorem perm_nodupKeys {l₁ l₂ : List (Sigma β)} (h : l₁ ~ l₂) : NodupKeys l₁ ↔ NodupKeys l₂ := (h.map _).nodup_iff #align list.perm_nodupkeys List.perm_nodupKeys theorem nodupKeys_join {L : List (List (Sigma β))} : NodupKeys (join L) ↔ (∀ l ∈ L, NodupKeys l) ∧ Pairwise Disjoint (L.map keys) := by rw [nodupKeys_iff_pairwise, pairwise_join, pairwise_map] refine and_congr (forall₂_congr fun l _ => by simp [nodupKeys_iff_pairwise]) ?_ apply iff_of_eq; congr with (l₁ l₂) simp [keys, disjoint_iff_ne] #align list.nodupkeys_join List.nodupKeys_join theorem nodup_enum_map_fst (l : List α) : (l.enum.map Prod.fst).Nodup := by simp [List.nodup_range] #align list.nodup_enum_map_fst List.nodup_enum_map_fst theorem mem_ext {l₀ l₁ : List (Sigma β)} (nd₀ : l₀.Nodup) (nd₁ : l₁.Nodup) (h : ∀ x, x ∈ l₀ ↔ x ∈ l₁) : l₀ ~ l₁ := (perm_ext_iff_of_nodup nd₀ nd₁).2 h #align list.mem_ext List.mem_ext variable [DecidableEq α] -- Porting note: renaming to `dlookup` since `lookup` already exists def dlookup (a : α) : List (Sigma β) → Option (β a) | [] => none | ⟨a', b⟩ :: l => if h : a' = a then some (Eq.recOn h b) else dlookup a l #align list.lookup List.dlookup @[simp] theorem dlookup_nil (a : α) : dlookup a [] = @none (β a) := rfl #align list.lookup_nil List.dlookup_nil @[simp] theorem dlookup_cons_eq (l) (a : α) (b : β a) : dlookup a (⟨a, b⟩ :: l) = some b := dif_pos rfl #align list.lookup_cons_eq List.dlookup_cons_eq @[simp] theorem dlookup_cons_ne (l) {a} : ∀ s : Sigma β, a ≠ s.1 → dlookup a (s :: l) = dlookup a l | ⟨_, _⟩, h => dif_neg h.symm #align list.lookup_cons_ne List.dlookup_cons_ne theorem dlookup_isSome {a : α} : ∀ {l : List (Sigma β)}, (dlookup a l).isSome ↔ a ∈ l.keys | [] => by simp | ⟨a', b⟩ :: l => by by_cases h : a = a' · subst a' simp · simp [h, dlookup_isSome] #align list.lookup_is_some List.dlookup_isSome theorem dlookup_eq_none {a : α} {l : List (Sigma β)} : dlookup a l = none ↔ a ∉ l.keys := by simp [← dlookup_isSome, Option.isNone_iff_eq_none] #align list.lookup_eq_none List.dlookup_eq_none theorem of_mem_dlookup {a : α} {b : β a} : ∀ {l : List (Sigma β)}, b ∈ dlookup a l → Sigma.mk a b ∈ l | ⟨a', b'⟩ :: l, H => by by_cases h : a = a' · subst a' simp? at H says simp only [dlookup_cons_eq, Option.mem_def, Option.some.injEq] at H simp [H] · simp only [ne_eq, h, not_false_iff, dlookup_cons_ne] at H simp [of_mem_dlookup H] #align list.of_mem_lookup List.of_mem_dlookup theorem mem_dlookup {a} {b : β a} {l : List (Sigma β)} (nd : l.NodupKeys) (h : Sigma.mk a b ∈ l) : b ∈ dlookup a l := by cases' Option.isSome_iff_exists.mp (dlookup_isSome.mpr (mem_keys_of_mem h)) with b' h' cases nd.eq_of_mk_mem h (of_mem_dlookup h') exact h' #align list.mem_lookup List.mem_dlookup theorem map_dlookup_eq_find (a : α) : ∀ l : List (Sigma β), (dlookup a l).map (Sigma.mk a) = find? (fun s => a = s.1) l | [] => rfl | ⟨a', b'⟩ :: l => by by_cases h : a = a' · subst a' simp · simpa [h] using map_dlookup_eq_find a l #align list.map_lookup_eq_find List.map_dlookup_eq_find theorem mem_dlookup_iff {a : α} {b : β a} {l : List (Sigma β)} (nd : l.NodupKeys) : b ∈ dlookup a l ↔ Sigma.mk a b ∈ l := ⟨of_mem_dlookup, mem_dlookup nd⟩ #align list.mem_lookup_iff List.mem_dlookup_iff theorem perm_dlookup (a : α) {l₁ l₂ : List (Sigma β)} (nd₁ : l₁.NodupKeys) (nd₂ : l₂.NodupKeys) (p : l₁ ~ l₂) : dlookup a l₁ = dlookup a l₂ := by ext b; simp only [mem_dlookup_iff nd₁, mem_dlookup_iff nd₂]; exact p.mem_iff #align list.perm_lookup List.perm_dlookup theorem lookup_ext {l₀ l₁ : List (Sigma β)} (nd₀ : l₀.NodupKeys) (nd₁ : l₁.NodupKeys) (h : ∀ x y, y ∈ l₀.dlookup x ↔ y ∈ l₁.dlookup x) : l₀ ~ l₁ := mem_ext nd₀.nodup nd₁.nodup fun ⟨a, b⟩ => by rw [← mem_dlookup_iff, ← mem_dlookup_iff, h] <;> assumption #align list.lookup_ext List.lookup_ext def lookupAll (a : α) : List (Sigma β) → List (β a) | [] => [] | ⟨a', b⟩ :: l => if h : a' = a then Eq.recOn h b :: lookupAll a l else lookupAll a l #align list.lookup_all List.lookupAll @[simp] theorem lookupAll_nil (a : α) : lookupAll a [] = @nil (β a) := rfl #align list.lookup_all_nil List.lookupAll_nil @[simp] theorem lookupAll_cons_eq (l) (a : α) (b : β a) : lookupAll a (⟨a, b⟩ :: l) = b :: lookupAll a l := dif_pos rfl #align list.lookup_all_cons_eq List.lookupAll_cons_eq @[simp] theorem lookupAll_cons_ne (l) {a} : ∀ s : Sigma β, a ≠ s.1 → lookupAll a (s :: l) = lookupAll a l | ⟨_, _⟩, h => dif_neg h.symm #align list.lookup_all_cons_ne List.lookupAll_cons_ne theorem lookupAll_eq_nil {a : α} : ∀ {l : List (Sigma β)}, lookupAll a l = [] ↔ ∀ b : β a, Sigma.mk a b ∉ l | [] => by simp | ⟨a', b⟩ :: l => by by_cases h : a = a' · subst a' simp only [lookupAll_cons_eq, mem_cons, Sigma.mk.inj_iff, heq_eq_eq, true_and, not_or, false_iff, not_forall, not_and, not_not] use b simp · simp [h, lookupAll_eq_nil] #align list.lookup_all_eq_nil List.lookupAll_eq_nil theorem head?_lookupAll (a : α) : ∀ l : List (Sigma β), head? (lookupAll a l) = dlookup a l | [] => by simp | ⟨a', b⟩ :: l => by by_cases h : a = a' · subst h; simp · rw [lookupAll_cons_ne, dlookup_cons_ne, head?_lookupAll a l] <;> assumption #align list.head_lookup_all List.head?_lookupAll theorem mem_lookupAll {a : α} {b : β a} : ∀ {l : List (Sigma β)}, b ∈ lookupAll a l ↔ Sigma.mk a b ∈ l | [] => by simp | ⟨a', b'⟩ :: l => by by_cases h : a = a' · subst h simp [*, mem_lookupAll] · simp [*, mem_lookupAll] #align list.mem_lookup_all List.mem_lookupAll theorem lookupAll_sublist (a : α) : ∀ l : List (Sigma β), (lookupAll a l).map (Sigma.mk a) <+ l | [] => by simp | ⟨a', b'⟩ :: l => by by_cases h : a = a' · subst h simp only [ne_eq, not_true, lookupAll_cons_eq, List.map] exact (lookupAll_sublist a l).cons₂ _ · simp only [ne_eq, h, not_false_iff, lookupAll_cons_ne] exact (lookupAll_sublist a l).cons _ #align list.lookup_all_sublist List.lookupAll_sublist theorem lookupAll_length_le_one (a : α) {l : List (Sigma β)} (h : l.NodupKeys) : length (lookupAll a l) ≤ 1 := by have := Nodup.sublist ((lookupAll_sublist a l).map _) h rw [map_map] at this rwa [← nodup_replicate, ← map_const] #align list.lookup_all_length_le_one List.lookupAll_length_le_one theorem lookupAll_eq_dlookup (a : α) {l : List (Sigma β)} (h : l.NodupKeys) : lookupAll a l = (dlookup a l).toList := by rw [← head?_lookupAll] have h1 := lookupAll_length_le_one a h; revert h1 rcases lookupAll a l with (_ | ⟨b, _ | ⟨c, l⟩⟩) <;> intro h1 <;> try rfl exact absurd h1 (by simp) #align list.lookup_all_eq_lookup List.lookupAll_eq_dlookup theorem lookupAll_nodup (a : α) {l : List (Sigma β)} (h : l.NodupKeys) : (lookupAll a l).Nodup := by (rw [lookupAll_eq_dlookup a h]; apply Option.toList_nodup) #align list.lookup_all_nodup List.lookupAll_nodup theorem perm_lookupAll (a : α) {l₁ l₂ : List (Sigma β)} (nd₁ : l₁.NodupKeys) (nd₂ : l₂.NodupKeys) (p : l₁ ~ l₂) : lookupAll a l₁ = lookupAll a l₂ := by simp [lookupAll_eq_dlookup, nd₁, nd₂, perm_dlookup a nd₁ nd₂ p] #align list.perm_lookup_all List.perm_lookupAll def kreplace (a : α) (b : β a) : List (Sigma β) → List (Sigma β) := lookmap fun s => if a = s.1 then some ⟨a, b⟩ else none #align list.kreplace List.kreplace theorem kreplace_of_forall_not (a : α) (b : β a) {l : List (Sigma β)} (H : ∀ b : β a, Sigma.mk a b ∉ l) : kreplace a b l = l := lookmap_of_forall_not _ <| by rintro ⟨a', b'⟩ h; dsimp; split_ifs · subst a' exact H _ h · rfl #align list.kreplace_of_forall_not List.kreplace_of_forall_not theorem kreplace_self {a : α} {b : β a} {l : List (Sigma β)} (nd : NodupKeys l) (h : Sigma.mk a b ∈ l) : kreplace a b l = l := by refine (lookmap_congr ?_).trans (lookmap_id' (Option.guard fun (s : Sigma β) => a = s.1) ?_ _) · rintro ⟨a', b'⟩ h' dsimp [Option.guard] split_ifs · subst a' simp [nd.eq_of_mk_mem h h'] · rfl · rintro ⟨a₁, b₁⟩ ⟨a₂, b₂⟩ dsimp [Option.guard] split_ifs · simp · rintro ⟨⟩ #align list.kreplace_self List.kreplace_self theorem keys_kreplace (a : α) (b : β a) : ∀ l : List (Sigma β), (kreplace a b l).keys = l.keys := lookmap_map_eq _ _ <| by rintro ⟨a₁, b₂⟩ ⟨a₂, b₂⟩ dsimp split_ifs with h <;> simp (config := { contextual := true }) [h] #align list.keys_kreplace List.keys_kreplace theorem kreplace_nodupKeys (a : α) (b : β a) {l : List (Sigma β)} : (kreplace a b l).NodupKeys ↔ l.NodupKeys := by simp [NodupKeys, keys_kreplace] #align list.kreplace_nodupkeys List.kreplace_nodupKeys theorem Perm.kreplace {a : α} {b : β a} {l₁ l₂ : List (Sigma β)} (nd : l₁.NodupKeys) : l₁ ~ l₂ → kreplace a b l₁ ~ kreplace a b l₂ := perm_lookmap _ <| by refine nd.pairwise_ne.imp ?_ intro x y h z h₁ w h₂ split_ifs at h₁ h₂ with h_2 h_1 <;> cases h₁ <;> cases h₂ exact (h (h_2.symm.trans h_1)).elim #align list.perm.kreplace List.Perm.kreplace def kerase (a : α) : List (Sigma β) → List (Sigma β) := eraseP fun s => a = s.1 #align list.kerase List.kerase -- Porting note (#10618): removing @[simp], `simp` can prove it theorem kerase_nil {a} : @kerase _ β _ a [] = [] := rfl #align list.kerase_nil List.kerase_nil @[simp] theorem kerase_cons_eq {a} {s : Sigma β} {l : List (Sigma β)} (h : a = s.1) : kerase a (s :: l) = l := by simp [kerase, h] #align list.kerase_cons_eq List.kerase_cons_eq @[simp] theorem kerase_cons_ne {a} {s : Sigma β} {l : List (Sigma β)} (h : a ≠ s.1) : kerase a (s :: l) = s :: kerase a l := by simp [kerase, h] #align list.kerase_cons_ne List.kerase_cons_ne @[simp] theorem kerase_of_not_mem_keys {a} {l : List (Sigma β)} (h : a ∉ l.keys) : kerase a l = l := by induction' l with _ _ ih <;> [rfl; (simp [not_or] at h; simp [h.1, ih h.2])] #align list.kerase_of_not_mem_keys List.kerase_of_not_mem_keys theorem kerase_sublist (a : α) (l : List (Sigma β)) : kerase a l <+ l := eraseP_sublist _ #align list.kerase_sublist List.kerase_sublist theorem kerase_keys_subset (a) (l : List (Sigma β)) : (kerase a l).keys ⊆ l.keys := ((kerase_sublist a l).map _).subset #align list.kerase_keys_subset List.kerase_keys_subset theorem mem_keys_of_mem_keys_kerase {a₁ a₂} {l : List (Sigma β)} : a₁ ∈ (kerase a₂ l).keys → a₁ ∈ l.keys := @kerase_keys_subset _ _ _ _ _ _ #align list.mem_keys_of_mem_keys_kerase List.mem_keys_of_mem_keys_kerase theorem exists_of_kerase {a : α} {l : List (Sigma β)} (h : a ∈ l.keys) : ∃ (b : β a) (l₁ l₂ : List (Sigma β)), a ∉ l₁.keys ∧ l = l₁ ++ ⟨a, b⟩ :: l₂ ∧ kerase a l = l₁ ++ l₂ := by induction l with | nil => cases h | cons hd tl ih => by_cases e : a = hd.1 · subst e exact ⟨hd.2, [], tl, by simp, by cases hd; rfl, by simp⟩ · simp only [keys_cons, mem_cons] at h cases' h with h h · exact absurd h e rcases ih h with ⟨b, tl₁, tl₂, h₁, h₂, h₃⟩ exact ⟨b, hd :: tl₁, tl₂, not_mem_cons_of_ne_of_not_mem e h₁, by (rw [h₂]; rfl), by simp [e, h₃]⟩ #align list.exists_of_kerase List.exists_of_kerase @[simp] theorem mem_keys_kerase_of_ne {a₁ a₂} {l : List (Sigma β)} (h : a₁ ≠ a₂) : a₁ ∈ (kerase a₂ l).keys ↔ a₁ ∈ l.keys := (Iff.intro mem_keys_of_mem_keys_kerase) fun p => if q : a₂ ∈ l.keys then match l, kerase a₂ l, exists_of_kerase q, p with | _, _, ⟨_, _, _, _, rfl, rfl⟩, p => by simpa [keys, h] using p else by simp [q, p] #align list.mem_keys_kerase_of_ne List.mem_keys_kerase_of_ne theorem keys_kerase {a} {l : List (Sigma β)} : (kerase a l).keys = l.keys.erase a := by rw [keys, kerase, erase_eq_eraseP, eraseP_map, Function.comp] simp only [beq_eq_decide] congr funext simp #align list.keys_kerase List.keys_kerase theorem kerase_kerase {a a'} {l : List (Sigma β)} : (kerase a' l).kerase a = (kerase a l).kerase a' := by by_cases h : a = a' · subst a'; rfl induction' l with x xs · rfl · by_cases a' = x.1 · subst a' simp [kerase_cons_ne h, kerase_cons_eq rfl] by_cases h' : a = x.1 · subst a simp [kerase_cons_eq rfl, kerase_cons_ne (Ne.symm h)] · simp [kerase_cons_ne, *] #align list.kerase_kerase List.kerase_kerase theorem NodupKeys.kerase (a : α) : NodupKeys l → (kerase a l).NodupKeys := NodupKeys.sublist <| kerase_sublist _ _ #align list.nodupkeys.kerase List.NodupKeys.kerase theorem Perm.kerase {a : α} {l₁ l₂ : List (Sigma β)} (nd : l₁.NodupKeys) : l₁ ~ l₂ → kerase a l₁ ~ kerase a l₂ := by apply Perm.eraseP apply (nodupKeys_iff_pairwise.1 nd).imp intros; simp_all #align list.perm.kerase List.Perm.kerase @[simp] theorem not_mem_keys_kerase (a) {l : List (Sigma β)} (nd : l.NodupKeys) : a ∉ (kerase a l).keys := by induction l with | nil => simp | cons hd tl ih => simp? at nd says simp only [nodupKeys_cons] at nd by_cases h : a = hd.1 · subst h simp [nd.1] · simp [h, ih nd.2] #align list.not_mem_keys_kerase List.not_mem_keys_kerase @[simp] theorem dlookup_kerase (a) {l : List (Sigma β)} (nd : l.NodupKeys) : dlookup a (kerase a l) = none := dlookup_eq_none.mpr (not_mem_keys_kerase a nd) #align list.lookup_kerase List.dlookup_kerase @[simp] theorem dlookup_kerase_ne {a a'} {l : List (Sigma β)} (h : a ≠ a') : dlookup a (kerase a' l) = dlookup a l := by induction l with | nil => rfl | cons hd tl ih => cases' hd with ah bh by_cases h₁ : a = ah <;> by_cases h₂ : a' = ah · substs h₁ h₂ cases Ne.irrefl h · subst h₁ simp [h₂] · subst h₂ simp [h] · simp [h₁, h₂, ih] #align list.lookup_kerase_ne List.dlookup_kerase_ne theorem kerase_append_left {a} : ∀ {l₁ l₂ : List (Sigma β)}, a ∈ l₁.keys → kerase a (l₁ ++ l₂) = kerase a l₁ ++ l₂ | [], _, h => by cases h | s :: l₁, l₂, h₁ => by if h₂ : a = s.1 then simp [h₂] else simp at h₁; cases' h₁ with h₁ h₁ <;> [exact absurd h₁ h₂; simp [h₂, kerase_append_left h₁]] #align list.kerase_append_left List.kerase_append_left theorem kerase_append_right {a} : ∀ {l₁ l₂ : List (Sigma β)}, a ∉ l₁.keys → kerase a (l₁ ++ l₂) = l₁ ++ kerase a l₂ | [], _, _ => rfl | _ :: l₁, l₂, h => by simp only [keys_cons, mem_cons, not_or] at h simp [h.1, kerase_append_right h.2] #align list.kerase_append_right List.kerase_append_right theorem kerase_comm (a₁ a₂) (l : List (Sigma β)) : kerase a₂ (kerase a₁ l) = kerase a₁ (kerase a₂ l) := if h : a₁ = a₂ then by simp [h] else if ha₁ : a₁ ∈ l.keys then if ha₂ : a₂ ∈ l.keys then match l, kerase a₁ l, exists_of_kerase ha₁, ha₂ with | _, _, ⟨b₁, l₁, l₂, a₁_nin_l₁, rfl, rfl⟩, _ => if h' : a₂ ∈ l₁.keys then by simp [kerase_append_left h', kerase_append_right (mt (mem_keys_kerase_of_ne h).mp a₁_nin_l₁)] else by simp [kerase_append_right h', kerase_append_right a₁_nin_l₁, @kerase_cons_ne _ _ _ a₂ ⟨a₁, b₁⟩ _ (Ne.symm h)] else by simp [ha₂, mt mem_keys_of_mem_keys_kerase ha₂] else by simp [ha₁, mt mem_keys_of_mem_keys_kerase ha₁] #align list.kerase_comm List.kerase_comm theorem sizeOf_kerase [DecidableEq α] [SizeOf (Sigma β)] (x : α) (xs : List (Sigma β)) : SizeOf.sizeOf (List.kerase x xs) ≤ SizeOf.sizeOf xs := by simp only [SizeOf.sizeOf, _sizeOf_1] induction' xs with y ys · simp · by_cases x = y.1 <;> simp [*] #align list.sizeof_kerase List.sizeOf_kerase def kinsert (a : α) (b : β a) (l : List (Sigma β)) : List (Sigma β) := ⟨a, b⟩ :: kerase a l #align list.kinsert List.kinsert @[simp] theorem kinsert_def {a} {b : β a} {l : List (Sigma β)} : kinsert a b l = ⟨a, b⟩ :: kerase a l := rfl #align list.kinsert_def List.kinsert_def theorem mem_keys_kinsert {a a'} {b' : β a'} {l : List (Sigma β)} : a ∈ (kinsert a' b' l).keys ↔ a = a' ∨ a ∈ l.keys := by by_cases h : a = a' <;> simp [h] #align list.mem_keys_kinsert List.mem_keys_kinsert theorem kinsert_nodupKeys (a) (b : β a) {l : List (Sigma β)} (nd : l.NodupKeys) : (kinsert a b l).NodupKeys := nodupKeys_cons.mpr ⟨not_mem_keys_kerase a nd, nd.kerase a⟩ #align list.kinsert_nodupkeys List.kinsert_nodupKeys theorem Perm.kinsert {a} {b : β a} {l₁ l₂ : List (Sigma β)} (nd₁ : l₁.NodupKeys) (p : l₁ ~ l₂) : kinsert a b l₁ ~ kinsert a b l₂ := (p.kerase nd₁).cons _ #align list.perm.kinsert List.Perm.kinsert theorem dlookup_kinsert {a} {b : β a} (l : List (Sigma β)) : dlookup a (kinsert a b l) = some b := by simp only [kinsert, dlookup_cons_eq] #align list.lookup_kinsert List.dlookup_kinsert theorem dlookup_kinsert_ne {a a'} {b' : β a'} {l : List (Sigma β)} (h : a ≠ a') : dlookup a (kinsert a' b' l) = dlookup a l := by simp [h] #align list.lookup_kinsert_ne List.dlookup_kinsert_ne def kextract (a : α) : List (Sigma β) → Option (β a) × List (Sigma β) | [] => (none, []) | s :: l => if h : s.1 = a then (some (Eq.recOn h s.2), l) else let (b', l') := kextract a l (b', s :: l') #align list.kextract List.kextract @[simp] theorem kextract_eq_dlookup_kerase (a : α) : ∀ l : List (Sigma β), kextract a l = (dlookup a l, kerase a l) | [] => rfl | ⟨a', b⟩ :: l => by simp only [kextract]; dsimp; split_ifs with h · subst a' simp [kerase] · simp [kextract, Ne.symm h, kextract_eq_dlookup_kerase a l, kerase] #align list.kextract_eq_lookup_kerase List.kextract_eq_dlookup_kerase def dedupKeys : List (Sigma β) → List (Sigma β) := List.foldr (fun x => kinsert x.1 x.2) [] #align list.dedupkeys List.dedupKeys theorem dedupKeys_cons {x : Sigma β} (l : List (Sigma β)) : dedupKeys (x :: l) = kinsert x.1 x.2 (dedupKeys l) := rfl #align list.dedupkeys_cons List.dedupKeys_cons theorem nodupKeys_dedupKeys (l : List (Sigma β)) : NodupKeys (dedupKeys l) := by dsimp [dedupKeys] generalize hl : nil = l' have : NodupKeys l' := by rw [← hl] apply nodup_nil clear hl induction' l with x xs l_ih · apply this · cases x simp only [foldr_cons, kinsert_def, nodupKeys_cons, ne_eq, not_true] constructor · simp only [keys_kerase] apply l_ih.not_mem_erase · exact l_ih.kerase _ #align list.nodupkeys_dedupkeys List.nodupKeys_dedupKeys theorem dlookup_dedupKeys (a : α) (l : List (Sigma β)) : dlookup a (dedupKeys l) = dlookup a l := by induction' l with l_hd _ l_ih · rfl cases' l_hd with a' b by_cases h : a = a' · subst a' rw [dedupKeys_cons, dlookup_kinsert, dlookup_cons_eq] · rw [dedupKeys_cons, dlookup_kinsert_ne h, l_ih, dlookup_cons_ne] exact h #align list.lookup_dedupkeys List.dlookup_dedupKeys theorem sizeOf_dedupKeys [DecidableEq α] [SizeOf (Sigma β)] (xs : List (Sigma β)) : SizeOf.sizeOf (dedupKeys xs) ≤ SizeOf.sizeOf xs := by simp only [SizeOf.sizeOf, _sizeOf_1] induction' xs with x xs · simp [dedupKeys] · simp only [dedupKeys_cons, kinsert_def, Nat.add_le_add_iff_left, Sigma.eta] trans · apply sizeOf_kerase · assumption #align list.sizeof_dedupkeys List.sizeOf_dedupKeys def kunion : List (Sigma β) → List (Sigma β) → List (Sigma β) | [], l₂ => l₂ | s :: l₁, l₂ => s :: kunion l₁ (kerase s.1 l₂) #align list.kunion List.kunion @[simp] theorem nil_kunion {l : List (Sigma β)} : kunion [] l = l := rfl #align list.nil_kunion List.nil_kunion @[simp] theorem kunion_nil : ∀ {l : List (Sigma β)}, kunion l [] = l | [] => rfl | _ :: l => by rw [kunion, kerase_nil, kunion_nil] #align list.kunion_nil List.kunion_nil @[simp] theorem kunion_cons {s} {l₁ l₂ : List (Sigma β)} : kunion (s :: l₁) l₂ = s :: kunion l₁ (kerase s.1 l₂) := rfl #align list.kunion_cons List.kunion_cons @[simp] theorem mem_keys_kunion {a} {l₁ l₂ : List (Sigma β)} : a ∈ (kunion l₁ l₂).keys ↔ a ∈ l₁.keys ∨ a ∈ l₂.keys := by induction l₁ generalizing l₂ with | nil => simp | cons s l₁ ih => by_cases h : a = s.1 <;> [simp [h]; simp [h, ih]] #align list.mem_keys_kunion List.mem_keys_kunion @[simp] theorem kunion_kerase {a} : ∀ {l₁ l₂ : List (Sigma β)}, kunion (kerase a l₁) (kerase a l₂) = kerase a (kunion l₁ l₂) | [], _ => rfl | s :: _, l => by by_cases h : a = s.1 <;> simp [h, kerase_comm a s.1 l, kunion_kerase] #align list.kunion_kerase List.kunion_kerase theorem NodupKeys.kunion (nd₁ : l₁.NodupKeys) (nd₂ : l₂.NodupKeys) : (kunion l₁ l₂).NodupKeys := by induction l₁ generalizing l₂ with | nil => simp only [nil_kunion, nd₂] | cons s l₁ ih => simp? at nd₁ says simp only [nodupKeys_cons] at nd₁ simp [not_or, nd₁.1, nd₂, ih nd₁.2 (nd₂.kerase s.1)] #align list.nodupkeys.kunion List.NodupKeys.kunion theorem Perm.kunion_right {l₁ l₂ : List (Sigma β)} (p : l₁ ~ l₂) (l) : kunion l₁ l ~ kunion l₂ l := by induction p generalizing l with | nil => rfl | cons hd _ ih => simp [ih (List.kerase _ _), Perm.cons] | swap s₁ s₂ l => simp [kerase_comm, Perm.swap] | trans _ _ ih₁₂ ih₂₃ => exact Perm.trans (ih₁₂ l) (ih₂₃ l) #align list.perm.kunion_right List.Perm.kunion_right theorem Perm.kunion_left : ∀ (l) {l₁ l₂ : List (Sigma β)}, l₁.NodupKeys → l₁ ~ l₂ → kunion l l₁ ~ kunion l l₂ | [], _, _, _, p => p | s :: l, _, _, nd₁, p => ((p.kerase nd₁).kunion_left l <| nd₁.kerase s.1).cons s #align list.perm.kunion_left List.Perm.kunion_left theorem Perm.kunion {l₁ l₂ l₃ l₄ : List (Sigma β)} (nd₃ : l₃.NodupKeys) (p₁₂ : l₁ ~ l₂) (p₃₄ : l₃ ~ l₄) : kunion l₁ l₃ ~ kunion l₂ l₄ := (p₁₂.kunion_right l₃).trans (p₃₄.kunion_left l₂ nd₃) #align list.perm.kunion List.Perm.kunion @[simp] theorem dlookup_kunion_left {a} {l₁ l₂ : List (Sigma β)} (h : a ∈ l₁.keys) : dlookup a (kunion l₁ l₂) = dlookup a l₁ := by induction' l₁ with s _ ih generalizing l₂ <;> simp at h; cases' h with h h <;> cases' s with a' · subst h simp · rw [kunion_cons] by_cases h' : a = a' · subst h' simp · simp [h', ih h] #align list.lookup_kunion_left List.dlookup_kunion_left @[simp] theorem dlookup_kunion_right {a} {l₁ l₂ : List (Sigma β)} (h : a ∉ l₁.keys) : dlookup a (kunion l₁ l₂) = dlookup a l₂ := by induction l₁ generalizing l₂ with | nil => simp | cons _ _ ih => simp_all [not_or] #align list.lookup_kunion_right List.dlookup_kunion_right -- Porting note: removing simp, LHS not in normal form, added new version
Mathlib/Data/List/Sigma.lean
775
787
theorem mem_dlookup_kunion {a} {b : β a} {l₁ l₂ : List (Sigma β)} : b ∈ dlookup a (kunion l₁ l₂) ↔ b ∈ dlookup a l₁ ∨ a ∉ l₁.keys ∧ b ∈ dlookup a l₂ := by
induction l₁ generalizing l₂ with | nil => simp | cons s _ ih => cases' s with a' by_cases h₁ : a = a' · subst h₁ simp · let h₂ := @ih (kerase a' l₂) simp? [h₁] at h₂ says simp only [Option.mem_def, ne_eq, h₁, not_false_eq_true, dlookup_kerase_ne] at h₂ simp [h₁, h₂]
import Mathlib.Data.Matrix.Basic #align_import data.matrix.block from "leanprover-community/mathlib"@"c060baa79af5ca092c54b8bf04f0f10592f59489" variable {l m n o p q : Type*} {m' n' p' : o → Type*} variable {R : Type*} {S : Type*} {α : Type*} {β : Type*} open Matrix namespace Matrix theorem dotProduct_block [Fintype m] [Fintype n] [Mul α] [AddCommMonoid α] (v w : Sum m n → α) : v ⬝ᵥ w = v ∘ Sum.inl ⬝ᵥ w ∘ Sum.inl + v ∘ Sum.inr ⬝ᵥ w ∘ Sum.inr := Fintype.sum_sum_type _ #align matrix.dot_product_block Matrix.dotProduct_block section BlockMatrices -- @[pp_nodot] -- Porting note: removed def fromBlocks (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : Matrix (Sum n o) (Sum l m) α := of <| Sum.elim (fun i => Sum.elim (A i) (B i)) fun i => Sum.elim (C i) (D i) #align matrix.from_blocks Matrix.fromBlocks @[simp] theorem fromBlocks_apply₁₁ (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (i : n) (j : l) : fromBlocks A B C D (Sum.inl i) (Sum.inl j) = A i j := rfl #align matrix.from_blocks_apply₁₁ Matrix.fromBlocks_apply₁₁ @[simp] theorem fromBlocks_apply₁₂ (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (i : n) (j : m) : fromBlocks A B C D (Sum.inl i) (Sum.inr j) = B i j := rfl #align matrix.from_blocks_apply₁₂ Matrix.fromBlocks_apply₁₂ @[simp] theorem fromBlocks_apply₂₁ (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (i : o) (j : l) : fromBlocks A B C D (Sum.inr i) (Sum.inl j) = C i j := rfl #align matrix.from_blocks_apply₂₁ Matrix.fromBlocks_apply₂₁ @[simp] theorem fromBlocks_apply₂₂ (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (i : o) (j : m) : fromBlocks A B C D (Sum.inr i) (Sum.inr j) = D i j := rfl #align matrix.from_blocks_apply₂₂ Matrix.fromBlocks_apply₂₂ def toBlocks₁₁ (M : Matrix (Sum n o) (Sum l m) α) : Matrix n l α := of fun i j => M (Sum.inl i) (Sum.inl j) #align matrix.to_blocks₁₁ Matrix.toBlocks₁₁ def toBlocks₁₂ (M : Matrix (Sum n o) (Sum l m) α) : Matrix n m α := of fun i j => M (Sum.inl i) (Sum.inr j) #align matrix.to_blocks₁₂ Matrix.toBlocks₁₂ def toBlocks₂₁ (M : Matrix (Sum n o) (Sum l m) α) : Matrix o l α := of fun i j => M (Sum.inr i) (Sum.inl j) #align matrix.to_blocks₂₁ Matrix.toBlocks₂₁ def toBlocks₂₂ (M : Matrix (Sum n o) (Sum l m) α) : Matrix o m α := of fun i j => M (Sum.inr i) (Sum.inr j) #align matrix.to_blocks₂₂ Matrix.toBlocks₂₂ theorem fromBlocks_toBlocks (M : Matrix (Sum n o) (Sum l m) α) : fromBlocks M.toBlocks₁₁ M.toBlocks₁₂ M.toBlocks₂₁ M.toBlocks₂₂ = M := by ext i j rcases i with ⟨⟩ <;> rcases j with ⟨⟩ <;> rfl #align matrix.from_blocks_to_blocks Matrix.fromBlocks_toBlocks @[simp] theorem toBlocks_fromBlocks₁₁ (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : (fromBlocks A B C D).toBlocks₁₁ = A := rfl #align matrix.to_blocks_from_blocks₁₁ Matrix.toBlocks_fromBlocks₁₁ @[simp] theorem toBlocks_fromBlocks₁₂ (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : (fromBlocks A B C D).toBlocks₁₂ = B := rfl #align matrix.to_blocks_from_blocks₁₂ Matrix.toBlocks_fromBlocks₁₂ @[simp] theorem toBlocks_fromBlocks₂₁ (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : (fromBlocks A B C D).toBlocks₂₁ = C := rfl #align matrix.to_blocks_from_blocks₂₁ Matrix.toBlocks_fromBlocks₂₁ @[simp] theorem toBlocks_fromBlocks₂₂ (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : (fromBlocks A B C D).toBlocks₂₂ = D := rfl #align matrix.to_blocks_from_blocks₂₂ Matrix.toBlocks_fromBlocks₂₂ theorem ext_iff_blocks {A B : Matrix (Sum n o) (Sum l m) α} : A = B ↔ A.toBlocks₁₁ = B.toBlocks₁₁ ∧ A.toBlocks₁₂ = B.toBlocks₁₂ ∧ A.toBlocks₂₁ = B.toBlocks₂₁ ∧ A.toBlocks₂₂ = B.toBlocks₂₂ := ⟨fun h => h ▸ ⟨rfl, rfl, rfl, rfl⟩, fun ⟨h₁₁, h₁₂, h₂₁, h₂₂⟩ => by rw [← fromBlocks_toBlocks A, ← fromBlocks_toBlocks B, h₁₁, h₁₂, h₂₁, h₂₂]⟩ #align matrix.ext_iff_blocks Matrix.ext_iff_blocks @[simp] theorem fromBlocks_inj {A : Matrix n l α} {B : Matrix n m α} {C : Matrix o l α} {D : Matrix o m α} {A' : Matrix n l α} {B' : Matrix n m α} {C' : Matrix o l α} {D' : Matrix o m α} : fromBlocks A B C D = fromBlocks A' B' C' D' ↔ A = A' ∧ B = B' ∧ C = C' ∧ D = D' := ext_iff_blocks #align matrix.from_blocks_inj Matrix.fromBlocks_inj theorem fromBlocks_map (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (f : α → β) : (fromBlocks A B C D).map f = fromBlocks (A.map f) (B.map f) (C.map f) (D.map f) := by ext i j; rcases i with ⟨⟩ <;> rcases j with ⟨⟩ <;> simp [fromBlocks] #align matrix.from_blocks_map Matrix.fromBlocks_map theorem fromBlocks_transpose (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : (fromBlocks A B C D)ᵀ = fromBlocks Aᵀ Cᵀ Bᵀ Dᵀ := by ext i j rcases i with ⟨⟩ <;> rcases j with ⟨⟩ <;> simp [fromBlocks] #align matrix.from_blocks_transpose Matrix.fromBlocks_transpose theorem fromBlocks_conjTranspose [Star α] (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : (fromBlocks A B C D)ᴴ = fromBlocks Aᴴ Cᴴ Bᴴ Dᴴ := by simp only [conjTranspose, fromBlocks_transpose, fromBlocks_map] #align matrix.from_blocks_conj_transpose Matrix.fromBlocks_conjTranspose @[simp] theorem fromBlocks_submatrix_sum_swap_left (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (f : p → Sum l m) : (fromBlocks A B C D).submatrix Sum.swap f = (fromBlocks C D A B).submatrix id f := by ext i j cases i <;> dsimp <;> cases f j <;> rfl #align matrix.from_blocks_submatrix_sum_swap_left Matrix.fromBlocks_submatrix_sum_swap_left @[simp] theorem fromBlocks_submatrix_sum_swap_right (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (f : p → Sum n o) : (fromBlocks A B C D).submatrix f Sum.swap = (fromBlocks B A D C).submatrix f id := by ext i j cases j <;> dsimp <;> cases f i <;> rfl #align matrix.from_blocks_submatrix_sum_swap_right Matrix.fromBlocks_submatrix_sum_swap_right theorem fromBlocks_submatrix_sum_swap_sum_swap {l m n o α : Type*} (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : (fromBlocks A B C D).submatrix Sum.swap Sum.swap = fromBlocks D C B A := by simp #align matrix.from_blocks_submatrix_sum_swap_sum_swap Matrix.fromBlocks_submatrix_sum_swap_sum_swap def IsTwoBlockDiagonal [Zero α] (A : Matrix (Sum n o) (Sum l m) α) : Prop := toBlocks₁₂ A = 0 ∧ toBlocks₂₁ A = 0 #align matrix.is_two_block_diagonal Matrix.IsTwoBlockDiagonal def toBlock (M : Matrix m n α) (p : m → Prop) (q : n → Prop) : Matrix { a // p a } { a // q a } α := M.submatrix (↑) (↑) #align matrix.to_block Matrix.toBlock @[simp] theorem toBlock_apply (M : Matrix m n α) (p : m → Prop) (q : n → Prop) (i : { a // p a }) (j : { a // q a }) : toBlock M p q i j = M ↑i ↑j := rfl #align matrix.to_block_apply Matrix.toBlock_apply def toSquareBlockProp (M : Matrix m m α) (p : m → Prop) : Matrix { a // p a } { a // p a } α := toBlock M _ _ #align matrix.to_square_block_prop Matrix.toSquareBlockProp theorem toSquareBlockProp_def (M : Matrix m m α) (p : m → Prop) : -- Porting note: added missing `of` toSquareBlockProp M p = of (fun i j : { a // p a } => M ↑i ↑j) := rfl #align matrix.to_square_block_prop_def Matrix.toSquareBlockProp_def def toSquareBlock (M : Matrix m m α) (b : m → β) (k : β) : Matrix { a // b a = k } { a // b a = k } α := toSquareBlockProp M _ #align matrix.to_square_block Matrix.toSquareBlock theorem toSquareBlock_def (M : Matrix m m α) (b : m → β) (k : β) : -- Porting note: added missing `of` toSquareBlock M b k = of (fun i j : { a // b a = k } => M ↑i ↑j) := rfl #align matrix.to_square_block_def Matrix.toSquareBlock_def theorem fromBlocks_smul [SMul R α] (x : R) (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) : x • fromBlocks A B C D = fromBlocks (x • A) (x • B) (x • C) (x • D) := by ext i j; rcases i with ⟨⟩ <;> rcases j with ⟨⟩ <;> simp [fromBlocks] #align matrix.from_blocks_smul Matrix.fromBlocks_smul theorem fromBlocks_neg [Neg R] (A : Matrix n l R) (B : Matrix n m R) (C : Matrix o l R) (D : Matrix o m R) : -fromBlocks A B C D = fromBlocks (-A) (-B) (-C) (-D) := by ext i j cases i <;> cases j <;> simp [fromBlocks] #align matrix.from_blocks_neg Matrix.fromBlocks_neg @[simp] theorem fromBlocks_zero [Zero α] : fromBlocks (0 : Matrix n l α) 0 0 (0 : Matrix o m α) = 0 := by ext i j rcases i with ⟨⟩ <;> rcases j with ⟨⟩ <;> rfl #align matrix.from_blocks_zero Matrix.fromBlocks_zero theorem fromBlocks_add [Add α] (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (A' : Matrix n l α) (B' : Matrix n m α) (C' : Matrix o l α) (D' : Matrix o m α) : fromBlocks A B C D + fromBlocks A' B' C' D' = fromBlocks (A + A') (B + B') (C + C') (D + D') := by ext i j; rcases i with ⟨⟩ <;> rcases j with ⟨⟩ <;> rfl #align matrix.from_blocks_add Matrix.fromBlocks_add theorem fromBlocks_multiply [Fintype l] [Fintype m] [NonUnitalNonAssocSemiring α] (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (A' : Matrix l p α) (B' : Matrix l q α) (C' : Matrix m p α) (D' : Matrix m q α) : fromBlocks A B C D * fromBlocks A' B' C' D' = fromBlocks (A * A' + B * C') (A * B' + B * D') (C * A' + D * C') (C * B' + D * D') := by ext i j rcases i with ⟨⟩ <;> rcases j with ⟨⟩ <;> simp only [fromBlocks, mul_apply, of_apply, Sum.elim_inr, Fintype.sum_sum_type, Sum.elim_inl, add_apply] #align matrix.from_blocks_multiply Matrix.fromBlocks_multiply theorem fromBlocks_mulVec [Fintype l] [Fintype m] [NonUnitalNonAssocSemiring α] (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (x : Sum l m → α) : (fromBlocks A B C D) *ᵥ x = Sum.elim (A *ᵥ (x ∘ Sum.inl) + B *ᵥ (x ∘ Sum.inr)) (C *ᵥ (x ∘ Sum.inl) + D *ᵥ (x ∘ Sum.inr)) := by ext i cases i <;> simp [mulVec, dotProduct] #align matrix.from_blocks_mul_vec Matrix.fromBlocks_mulVec theorem vecMul_fromBlocks [Fintype n] [Fintype o] [NonUnitalNonAssocSemiring α] (A : Matrix n l α) (B : Matrix n m α) (C : Matrix o l α) (D : Matrix o m α) (x : Sum n o → α) : x ᵥ* fromBlocks A B C D = Sum.elim ((x ∘ Sum.inl) ᵥ* A + (x ∘ Sum.inr) ᵥ* C) ((x ∘ Sum.inl) ᵥ* B + (x ∘ Sum.inr) ᵥ* D) := by ext i cases i <;> simp [vecMul, dotProduct] #align matrix.vec_mul_from_blocks Matrix.vecMul_fromBlocks variable [DecidableEq l] [DecidableEq m] section BlockDiagonal variable [DecidableEq o] section Zero variable [Zero α] [Zero β] def blockDiagonal (M : o → Matrix m n α) : Matrix (m × o) (n × o) α := of <| (fun ⟨i, k⟩ ⟨j, k'⟩ => if k = k' then M k i j else 0 : m × o → n × o → α) #align matrix.block_diagonal Matrix.blockDiagonal -- TODO: set as an equation lemma for `blockDiagonal`, see mathlib4#3024 theorem blockDiagonal_apply' (M : o → Matrix m n α) (i k j k') : blockDiagonal M ⟨i, k⟩ ⟨j, k'⟩ = if k = k' then M k i j else 0 := rfl #align matrix.block_diagonal_apply' Matrix.blockDiagonal_apply' theorem blockDiagonal_apply (M : o → Matrix m n α) (ik jk) : blockDiagonal M ik jk = if ik.2 = jk.2 then M ik.2 ik.1 jk.1 else 0 := by cases ik cases jk rfl #align matrix.block_diagonal_apply Matrix.blockDiagonal_apply @[simp] theorem blockDiagonal_apply_eq (M : o → Matrix m n α) (i j k) : blockDiagonal M (i, k) (j, k) = M k i j := if_pos rfl #align matrix.block_diagonal_apply_eq Matrix.blockDiagonal_apply_eq theorem blockDiagonal_apply_ne (M : o → Matrix m n α) (i j) {k k'} (h : k ≠ k') : blockDiagonal M (i, k) (j, k') = 0 := if_neg h #align matrix.block_diagonal_apply_ne Matrix.blockDiagonal_apply_ne
Mathlib/Data/Matrix/Block.lean
391
395
theorem blockDiagonal_map (M : o → Matrix m n α) (f : α → β) (hf : f 0 = 0) : (blockDiagonal M).map f = blockDiagonal fun k => (M k).map f := by
ext simp only [map_apply, blockDiagonal_apply, eq_comm] rw [apply_ite f, hf]
import Mathlib.Algebra.Group.Support import Mathlib.Data.Int.Cast.Field import Mathlib.Data.Int.Cast.Lemmas #align_import data.int.char_zero from "leanprover-community/mathlib"@"29cb56a7b35f72758b05a30490e1f10bd62c35c1" open Nat Set variable {α β : Type*} namespace Int @[simp, norm_cast]
Mathlib/Data/Int/CharZero.lean
24
28
theorem cast_div_charZero {k : Type*} [DivisionRing k] [CharZero k] {m n : ℤ} (n_dvd : n ∣ m) : ((m / n : ℤ) : k) = m / n := by
rcases eq_or_ne n 0 with (rfl | hn) · simp [Int.ediv_zero] · exact cast_div n_dvd (cast_ne_zero.mpr hn)
import Mathlib.GroupTheory.Coprod.Basic import Mathlib.GroupTheory.Complement open Monoid Coprod Multiplicative Subgroup Function def HNNExtension.con (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Con (G ∗ Multiplicative ℤ) := conGen (fun x y => ∃ (a : A), x = inr (ofAdd 1) * inl (a : G) ∧ y = inl (φ a : G) * inr (ofAdd 1)) def HNNExtension (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Type _ := (HNNExtension.con G A B φ).Quotient variable {G : Type*} [Group G] {A B : Subgroup G} {φ : A ≃* B} {H : Type*} [Group H] {M : Type*} [Monoid M] instance : Group (HNNExtension G A B φ) := by delta HNNExtension; infer_instance namespace HNNExtension def of : G →* HNNExtension G A B φ := (HNNExtension.con G A B φ).mk'.comp inl def t : HNNExtension G A B φ := (HNNExtension.con G A B φ).mk'.comp inr (ofAdd 1) theorem t_mul_of (a : A) : t * (of (a : G) : HNNExtension G A B φ) = of (φ a : G) * t := (Con.eq _).2 <| ConGen.Rel.of _ _ <| ⟨a, by simp⟩ theorem of_mul_t (b : B) : (of (b : G) : HNNExtension G A B φ) * t = t * of (φ.symm b : G) := by rw [t_mul_of]; simp theorem equiv_eq_conj (a : A) : (of (φ a : G) : HNNExtension G A B φ) = t * of (a : G) * t⁻¹ := by rw [t_mul_of]; simp theorem equiv_symm_eq_conj (b : B) : (of (φ.symm b : G) : HNNExtension G A B φ) = t⁻¹ * of (b : G) * t := by rw [mul_assoc, of_mul_t]; simp theorem inv_t_mul_of (b : B) : t⁻¹ * (of (b : G) : HNNExtension G A B φ) = of (φ.symm b : G) * t⁻¹ := by rw [equiv_symm_eq_conj]; simp theorem of_mul_inv_t (a : A) : (of (a : G) : HNNExtension G A B φ) * t⁻¹ = t⁻¹ * of (φ a : G) := by rw [equiv_eq_conj]; simp [mul_assoc] def lift (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) : HNNExtension G A B φ →* H := Con.lift _ (Coprod.lift f (zpowersHom H x)) (Con.conGen_le <| by rintro _ _ ⟨a, rfl, rfl⟩ simp [hx]) @[simp] theorem lift_t (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) : lift f x hx t = x := by delta HNNExtension; simp [lift, t] @[simp] theorem lift_of (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) (g : G) : lift f x hx (of g) = f g := by delta HNNExtension; simp [lift, of] @[ext high] theorem hom_ext {f g : HNNExtension G A B φ →* M} (hg : f.comp of = g.comp of) (ht : f t = g t) : f = g := (MonoidHom.cancel_right Con.mk'_surjective).mp <| Coprod.hom_ext hg (MonoidHom.ext_mint ht) @[elab_as_elim] theorem induction_on {motive : HNNExtension G A B φ → Prop} (x : HNNExtension G A B φ) (of : ∀ g, motive (of g)) (t : motive t) (mul : ∀ x y, motive x → motive y → motive (x * y)) (inv : ∀ x, motive x → motive x⁻¹) : motive x := by let S : Subgroup (HNNExtension G A B φ) := { carrier := setOf motive one_mem' := by simpa using of 1 mul_mem' := mul _ _ inv_mem' := inv _ } let f : HNNExtension G A B φ →* S := lift (HNNExtension.of.codRestrict S of) ⟨HNNExtension.t, t⟩ (by intro a; ext; simp [equiv_eq_conj, mul_assoc]) have hf : S.subtype.comp f = MonoidHom.id _ := hom_ext (by ext; simp [f]) (by simp [f]) show motive (MonoidHom.id _ x) rw [← hf] exact (f x).2 variable (A B φ) def toSubgroup (u : ℤˣ) : Subgroup G := if u = 1 then A else B @[simp] theorem toSubgroup_one : toSubgroup A B 1 = A := rfl @[simp] theorem toSubgroup_neg_one : toSubgroup A B (-1) = B := rfl variable {A B} def toSubgroupEquiv (u : ℤˣ) : toSubgroup A B u ≃* toSubgroup A B (-u) := if hu : u = 1 then hu ▸ φ else by convert φ.symm <;> cases Int.units_eq_one_or u <;> simp_all @[simp] theorem toSubgroupEquiv_one : toSubgroupEquiv φ 1 = φ := rfl @[simp] theorem toSubgroupEquiv_neg_one : toSubgroupEquiv φ (-1) = φ.symm := rfl @[simp] theorem toSubgroupEquiv_neg_apply (u : ℤˣ) (a : toSubgroup A B u) : (toSubgroupEquiv φ (-u) (toSubgroupEquiv φ u a) : G) = a := by rcases Int.units_eq_one_or u with rfl | rfl · -- This used to be `simp` before leanprover/lean4#2644 simp; erw [MulEquiv.symm_apply_apply] · simp only [toSubgroup_neg_one, toSubgroupEquiv_neg_one, SetLike.coe_eq_coe] exact φ.apply_symm_apply a namespace NormalWord variable (G A B) structure TransversalPair : Type _ := set : ℤˣ → Set G compl : ∀ u, IsComplement (toSubgroup A B u : Subgroup G) (set u) instance TransversalPair.nonempty : Nonempty (TransversalPair G A B) := by choose t ht using fun u ↦ (toSubgroup A B u).exists_right_transversal 1 exact ⟨⟨t, fun i ↦ (ht i).1⟩⟩ structure ReducedWord : Type _ := head : G toList : List (ℤˣ × G) chain : toList.Chain' (fun a b => a.2 ∈ toSubgroup A B a.1 → a.1 = b.1) @[simps] def ReducedWord.empty : ReducedWord G A B := { head := 1 toList := [] chain := List.chain'_nil } variable {G A B} def ReducedWord.prod : ReducedWord G A B → HNNExtension G A B φ := fun w => of w.head * (w.toList.map (fun x => t ^ (x.1 : ℤ) * of x.2)).prod structure _root_.HNNExtension.NormalWord (d : TransversalPair G A B) extends ReducedWord G A B : Type _ := mem_set : ∀ (u : ℤˣ) (g : G), (u, g) ∈ toList → g ∈ d.set u variable {d : TransversalPair G A B} @[ext] theorem ext {w w' : NormalWord d} (h1 : w.head = w'.head) (h2 : w.toList = w'.toList): w = w' := by rcases w with ⟨⟨⟩, _⟩; cases w'; simp_all @[simps] def empty : NormalWord d := { head := 1 toList := [] mem_set := by simp chain := List.chain'_nil } @[simps] def ofGroup (g : G) : NormalWord d := { head := g toList := [] mem_set := by simp chain := List.chain'_nil } instance : Inhabited (NormalWord d) := ⟨empty⟩ instance : MulAction G (NormalWord d) := { smul := fun g w => { w with head := g * w.head } one_smul := by simp [instHSMul] mul_smul := by simp [instHSMul, mul_assoc] } theorem group_smul_def (g : G) (w : NormalWord d) : g • w = { w with head := g * w.head } := rfl @[simp] theorem group_smul_head (g : G) (w : NormalWord d) : (g • w).head = g * w.head := rfl @[simp] theorem group_smul_toList (g : G) (w : NormalWord d) : (g • w).toList = w.toList := rfl instance : FaithfulSMul G (NormalWord d) := ⟨by simp [group_smul_def]⟩ @[simps] def cons (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u) (h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') : NormalWord d := { head := g, toList := (u, w.head) :: w.toList, mem_set := by intro u' g' h' simp only [List.mem_cons, Prod.mk.injEq] at h' rcases h' with ⟨rfl, rfl⟩ | h' · exact h1 · exact w.mem_set _ _ h' chain := by refine List.chain'_cons'.2 ⟨?_, w.chain⟩ rintro ⟨u', g'⟩ hu' hw1 exact h2 _ (by simp_all) hw1 } @[elab_as_elim] def consRecOn {motive : NormalWord d → Sort*} (w : NormalWord d) (ofGroup : ∀g, motive (ofGroup g)) (cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u) (h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u'), motive w → motive (cons g u w h1 h2)) : motive w := by rcases w with ⟨⟨g, l, chain⟩, mem_set⟩ induction l generalizing g with | nil => exact ofGroup _ | cons a l ih => exact cons g a.1 { head := a.2 toList := l mem_set := fun _ _ h => mem_set _ _ (List.mem_cons_of_mem _ h), chain := (List.chain'_cons'.1 chain).2 } (mem_set a.1 a.2 (List.mem_cons_self _ _)) (by simpa using (List.chain'_cons'.1 chain).1) (ih _ _ _) @[simp] theorem consRecOn_ofGroup {motive : NormalWord d → Sort*} (g : G) (ofGroup : ∀g, motive (ofGroup g)) (cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u) (h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u'), motive w → motive (cons g u w h1 h2)) : consRecOn (.ofGroup g) ofGroup cons = ofGroup g := rfl @[simp] theorem consRecOn_cons {motive : NormalWord d → Sort*} (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u) (h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') (ofGroup : ∀g, motive (ofGroup g)) (cons : ∀ (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u) (h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u'), motive w → motive (cons g u w h1 h2)) : consRecOn (.cons g u w h1 h2) ofGroup cons = cons g u w h1 h2 (consRecOn w ofGroup cons) := rfl @[simp] theorem smul_cons (g₁ g₂ : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u) (h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') : g₁ • cons g₂ u w h1 h2 = cons (g₁ * g₂) u w h1 h2 := rfl @[simp] theorem smul_ofGroup (g₁ g₂ : G) : g₁ • (ofGroup g₂ : NormalWord d) = ofGroup (g₁ * g₂) := rfl variable (d) noncomputable def unitsSMulGroup (u : ℤˣ) (g : G) : (toSubgroup A B (-u)) × d.set u := let g' := (d.compl u).equiv g (toSubgroupEquiv φ u g'.1, g'.2) theorem unitsSMulGroup_snd (u : ℤˣ) (g : G) : (unitsSMulGroup φ d u g).2 = ((d.compl u).equiv g).2 := by rcases Int.units_eq_one_or u with rfl | rfl <;> rfl variable {d} [DecidableEq G] def Cancels (u : ℤˣ) (w : NormalWord d) : Prop := (w.head ∈ (toSubgroup A B u : Subgroup G)) ∧ w.toList.head?.map Prod.fst = some (-u) def unitsSMulWithCancel (u : ℤˣ) (w : NormalWord d) : Cancels u w → NormalWord d := consRecOn w (by simp [Cancels, ofGroup]; tauto) (fun g u' w h1 h2 _ can => (toSubgroupEquiv φ u ⟨g, can.1⟩ : G) • w) noncomputable def unitsSMul (u : ℤˣ) (w : NormalWord d) : NormalWord d := letI := Classical.dec if h : Cancels u w then unitsSMulWithCancel φ u w h else let g' := unitsSMulGroup φ d u w.head cons g'.1 u ((g'.2 * w.head⁻¹ : G) • w) (by simp) (by simp only [g', group_smul_toList, Option.mem_def, Option.map_eq_some', Prod.exists, exists_and_right, exists_eq_right, group_smul_head, inv_mul_cancel_right, forall_exists_index, unitsSMulGroup] simp only [Cancels, Option.map_eq_some', Prod.exists, exists_and_right, exists_eq_right, not_and, not_exists] at h intro u' x hx hmem have : w.head ∈ toSubgroup A B u := by have := (d.compl u).rightCosetEquivalence_equiv_snd w.head rw [RightCosetEquivalence, rightCoset_eq_iff, mul_mem_cancel_left hmem] at this simp_all have := h this x simp_all [Int.units_ne_iff_eq_neg]) theorem not_cancels_of_cons_hyp (u : ℤˣ) (w : NormalWord d) (h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') : ¬ Cancels u w := by simp only [Cancels, Option.map_eq_some', Prod.exists, exists_and_right, exists_eq_right, not_and, not_exists] intro hw x hx rw [hx] at h2 simpa using h2 (-u) rfl hw theorem unitsSMul_cancels_iff (u : ℤˣ) (w : NormalWord d) : Cancels (-u) (unitsSMul φ u w) ↔ ¬ Cancels u w := by by_cases h : Cancels u w · simp only [unitsSMul, h, dite_true, not_true_eq_false, iff_false] induction w using consRecOn with | ofGroup => simp [Cancels, unitsSMulWithCancel] | cons g u' w h1 h2 _ => intro hc apply not_cancels_of_cons_hyp _ _ h2 simp only [Cancels, cons_head, cons_toList, List.head?_cons, Option.map_some', Option.some.injEq] at h cases h.2 simpa [Cancels, unitsSMulWithCancel, Subgroup.mul_mem_cancel_left] using hc · simp only [unitsSMul, dif_neg h] simpa [Cancels] using h theorem unitsSMul_neg (u : ℤˣ) (w : NormalWord d) : unitsSMul φ (-u) (unitsSMul φ u w) = w := by rw [unitsSMul] split_ifs with hcan · have hncan : ¬ Cancels u w := (unitsSMul_cancels_iff _ _ _).1 hcan unfold unitsSMul simp only [dif_neg hncan] simp [unitsSMulWithCancel, unitsSMulGroup, (d.compl u).equiv_snd_eq_inv_mul] -- This used to be the end of the proof before leanprover/lean4#2644 erw [(d.compl u).equiv_snd_eq_inv_mul] simp · have hcan2 : Cancels u w := not_not.1 (mt (unitsSMul_cancels_iff _ _ _).2 hcan) unfold unitsSMul at hcan ⊢ simp only [dif_pos hcan2] at hcan ⊢ cases w using consRecOn with | ofGroup => simp [Cancels] at hcan2 | cons g u' w h1 h2 ih => clear ih simp only [unitsSMulGroup, SetLike.coe_sort_coe, unitsSMulWithCancel, id_eq, consRecOn_cons, group_smul_head, IsComplement.equiv_mul_left, map_mul, Submonoid.coe_mul, coe_toSubmonoid, toSubgroupEquiv_neg_apply, mul_inv_rev] cases hcan2.2 have : ((d.compl (-u)).equiv w.head).1 = 1 := (d.compl (-u)).equiv_fst_eq_one_of_mem_of_one_mem _ h1 apply NormalWord.ext · -- This used to `simp [this]` before leanprover/lean4#2644 dsimp conv_lhs => erw [IsComplement.equiv_mul_left] rw [map_mul, Submonoid.coe_mul, toSubgroupEquiv_neg_apply, this] simp · -- The next two lines were not needed before leanprover/lean4#2644 dsimp conv_lhs => erw [IsComplement.equiv_mul_left] simp [mul_assoc, Units.ext_iff, (d.compl (-u)).equiv_snd_eq_inv_mul, this] -- The next two lines were not needed before leanprover/lean4#2644 erw [(d.compl (-u)).equiv_snd_eq_inv_mul, this] simp @[simps] noncomputable def unitsSMulEquiv : NormalWord d ≃ NormalWord d := { toFun := unitsSMul φ 1 invFun := unitsSMul φ (-1), left_inv := fun _ => by rw [unitsSMul_neg] right_inv := fun w => by convert unitsSMul_neg _ _ w; simp } theorem unitsSMul_one_group_smul (g : A) (w : NormalWord d) : unitsSMul φ 1 ((g : G) • w) = (φ g : G) • (unitsSMul φ 1 w) := by unfold unitsSMul have : Cancels 1 ((g : G) • w) ↔ Cancels 1 w := by simp [Cancels, Subgroup.mul_mem_cancel_left] by_cases hcan : Cancels 1 w · simp [unitsSMulWithCancel, dif_pos (this.2 hcan), dif_pos hcan] cases w using consRecOn · simp [Cancels] at hcan · simp only [smul_cons, consRecOn_cons, mul_smul] rw [← mul_smul, ← Subgroup.coe_mul, ← map_mul φ] rfl · rw [dif_neg (mt this.1 hcan), dif_neg hcan] simp [← mul_smul, mul_assoc, unitsSMulGroup] -- This used to be the end of the proof before leanprover/lean4#2644 dsimp congr 1 · conv_lhs => erw [IsComplement.equiv_mul_left] simp? says simp only [toSubgroup_one, SetLike.coe_sort_coe, map_mul, Submonoid.coe_mul, coe_toSubmonoid] conv_lhs => erw [IsComplement.equiv_mul_left] rfl noncomputable instance : MulAction (HNNExtension G A B φ) (NormalWord d) := MulAction.ofEndHom <| (MulAction.toEndHom (M := Equiv.Perm (NormalWord d))).comp (HNNExtension.lift (MulAction.toPermHom _ _) (unitsSMulEquiv φ) <| by intro a ext : 1 simp [unitsSMul_one_group_smul]) @[simp] theorem prod_group_smul (g : G) (w : NormalWord d) : (g • w).prod φ = of g * (w.prod φ) := by simp [ReducedWord.prod, smul_def, mul_assoc] theorem of_smul_eq_smul (g : G) (w : NormalWord d) : (of g : HNNExtension G A B φ) • w = g • w := by simp [instHSMul, SMul.smul, MulAction.toEndHom] theorem t_smul_eq_unitsSMul (w : NormalWord d) : (t : HNNExtension G A B φ) • w = unitsSMul φ 1 w := by simp [instHSMul, SMul.smul, MulAction.toEndHom] theorem t_pow_smul_eq_unitsSMul (u : ℤˣ) (w : NormalWord d) : (t ^ (u : ℤ) : HNNExtension G A B φ) • w = unitsSMul φ u w := by rcases Int.units_eq_one_or u with (rfl | rfl) <;> simp [instHSMul, SMul.smul, MulAction.toEndHom, Equiv.Perm.inv_def] @[simp] theorem prod_cons (g : G) (u : ℤˣ) (w : NormalWord d) (h1 : w.head ∈ d.set u) (h2 : ∀ u' ∈ Option.map Prod.fst w.toList.head?, w.head ∈ toSubgroup A B u → u = u') : (cons g u w h1 h2).prod φ = of g * (t ^ (u : ℤ) * w.prod φ) := by simp [ReducedWord.prod, cons, smul_def, mul_assoc] theorem prod_unitsSMul (u : ℤˣ) (w : NormalWord d) : (unitsSMul φ u w).prod φ = (t^(u : ℤ) * w.prod φ : HNNExtension G A B φ) := by rw [unitsSMul] split_ifs with hcan · cases w using consRecOn · simp [Cancels] at hcan · cases hcan.2 simp [unitsSMulWithCancel] rcases Int.units_eq_one_or u with (rfl | rfl) · simp [equiv_eq_conj, mul_assoc] · simp [equiv_symm_eq_conj, mul_assoc] -- This used to be the end of the proof before leanprover/lean4#2644 erw [equiv_symm_eq_conj] simp [equiv_symm_eq_conj, mul_assoc] · simp [unitsSMulGroup] rcases Int.units_eq_one_or u with (rfl | rfl) · simp [equiv_eq_conj, mul_assoc, (d.compl _).equiv_snd_eq_inv_mul] -- This used to be the end of the proof before leanprover/lean4#2644 erw [(d.compl 1).equiv_snd_eq_inv_mul] simp [equiv_eq_conj, mul_assoc, (d.compl _).equiv_snd_eq_inv_mul] · simp [equiv_symm_eq_conj, mul_assoc, (d.compl _).equiv_snd_eq_inv_mul] -- This used to be the end of the proof before leanprover/lean4#2644 erw [equiv_symm_eq_conj, (d.compl (-1)).equiv_snd_eq_inv_mul] simp [equiv_symm_eq_conj, mul_assoc, (d.compl _).equiv_snd_eq_inv_mul] @[simp] theorem prod_empty : (empty : NormalWord d).prod φ = 1 := by simp [ReducedWord.prod] @[simp]
Mathlib/GroupTheory/HNNExtension.lean
544
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theorem prod_smul (g : HNNExtension G A B φ) (w : NormalWord d) : (g • w).prod φ = g * w.prod φ := by
induction g using induction_on generalizing w with | of => simp [of_smul_eq_smul] | t => simp [t_smul_eq_unitsSMul, prod_unitsSMul, mul_assoc] | mul => simp_all [mul_smul, mul_assoc] | inv x ih => rw [← mul_right_inj x, ← ih] simp
import Mathlib.Algebra.Module.Submodule.EqLocus import Mathlib.Algebra.Module.Submodule.RestrictScalars import Mathlib.Algebra.Ring.Idempotents import Mathlib.Data.Set.Pointwise.SMul import Mathlib.LinearAlgebra.Basic import Mathlib.Order.CompactlyGenerated.Basic import Mathlib.Order.OmegaCompletePartialOrder #align_import linear_algebra.span from "leanprover-community/mathlib"@"10878f6bf1dab863445907ab23fbfcefcb5845d0" variable {R R₂ K M M₂ V S : Type*} namespace Submodule open Function Set open Pointwise section AddCommMonoid variable [Semiring R] [AddCommMonoid M] [Module R M] variable {x : M} (p p' : Submodule R M) variable [Semiring R₂] {σ₁₂ : R →+* R₂} variable [AddCommMonoid M₂] [Module R₂ M₂] variable {F : Type*} [FunLike F M M₂] [SemilinearMapClass F σ₁₂ M M₂] section variable (R) def span (s : Set M) : Submodule R M := sInf { p | s ⊆ p } #align submodule.span Submodule.span variable {R} -- Porting note: renamed field to `principal'` and added `principal` to fix explicit argument @[mk_iff] class IsPrincipal (S : Submodule R M) : Prop where principal' : ∃ a, S = span R {a} #align submodule.is_principal Submodule.IsPrincipal theorem IsPrincipal.principal (S : Submodule R M) [S.IsPrincipal] : ∃ a, S = span R {a} := Submodule.IsPrincipal.principal' #align submodule.is_principal.principal Submodule.IsPrincipal.principal end variable {s t : Set M} theorem mem_span : x ∈ span R s ↔ ∀ p : Submodule R M, s ⊆ p → x ∈ p := mem_iInter₂ #align submodule.mem_span Submodule.mem_span @[aesop safe 20 apply (rule_sets := [SetLike])] theorem subset_span : s ⊆ span R s := fun _ h => mem_span.2 fun _ hp => hp h #align submodule.subset_span Submodule.subset_span theorem span_le {p} : span R s ≤ p ↔ s ⊆ p := ⟨Subset.trans subset_span, fun ss _ h => mem_span.1 h _ ss⟩ #align submodule.span_le Submodule.span_le theorem span_mono (h : s ⊆ t) : span R s ≤ span R t := span_le.2 <| Subset.trans h subset_span #align submodule.span_mono Submodule.span_mono theorem span_monotone : Monotone (span R : Set M → Submodule R M) := fun _ _ => span_mono #align submodule.span_monotone Submodule.span_monotone theorem span_eq_of_le (h₁ : s ⊆ p) (h₂ : p ≤ span R s) : span R s = p := le_antisymm (span_le.2 h₁) h₂ #align submodule.span_eq_of_le Submodule.span_eq_of_le theorem span_eq : span R (p : Set M) = p := span_eq_of_le _ (Subset.refl _) subset_span #align submodule.span_eq Submodule.span_eq theorem span_eq_span (hs : s ⊆ span R t) (ht : t ⊆ span R s) : span R s = span R t := le_antisymm (span_le.2 hs) (span_le.2 ht) #align submodule.span_eq_span Submodule.span_eq_span lemma coe_span_eq_self [SetLike S M] [AddSubmonoidClass S M] [SMulMemClass S R M] (s : S) : (span R (s : Set M) : Set M) = s := by refine le_antisymm ?_ subset_span let s' : Submodule R M := { carrier := s add_mem' := add_mem zero_mem' := zero_mem _ smul_mem' := SMulMemClass.smul_mem } exact span_le (p := s') |>.mpr le_rfl @[simp] theorem span_coe_eq_restrictScalars [Semiring S] [SMul S R] [Module S M] [IsScalarTower S R M] : span S (p : Set M) = p.restrictScalars S := span_eq (p.restrictScalars S) #align submodule.span_coe_eq_restrict_scalars Submodule.span_coe_eq_restrictScalars theorem image_span_subset (f : F) (s : Set M) (N : Submodule R₂ M₂) : f '' span R s ⊆ N ↔ ∀ m ∈ s, f m ∈ N := image_subset_iff.trans <| span_le (p := N.comap f) theorem image_span_subset_span (f : F) (s : Set M) : f '' span R s ⊆ span R₂ (f '' s) := (image_span_subset f s _).2 fun x hx ↦ subset_span ⟨x, hx, rfl⟩ theorem map_span [RingHomSurjective σ₁₂] (f : F) (s : Set M) : (span R s).map f = span R₂ (f '' s) := Eq.symm <| span_eq_of_le _ (Set.image_subset f subset_span) (image_span_subset_span f s) #align submodule.map_span Submodule.map_span alias _root_.LinearMap.map_span := Submodule.map_span #align linear_map.map_span LinearMap.map_span theorem map_span_le [RingHomSurjective σ₁₂] (f : F) (s : Set M) (N : Submodule R₂ M₂) : map f (span R s) ≤ N ↔ ∀ m ∈ s, f m ∈ N := image_span_subset f s N #align submodule.map_span_le Submodule.map_span_le alias _root_.LinearMap.map_span_le := Submodule.map_span_le #align linear_map.map_span_le LinearMap.map_span_le @[simp] theorem span_insert_zero : span R (insert (0 : M) s) = span R s := by refine le_antisymm ?_ (Submodule.span_mono (Set.subset_insert 0 s)) rw [span_le, Set.insert_subset_iff] exact ⟨by simp only [SetLike.mem_coe, Submodule.zero_mem], Submodule.subset_span⟩ #align submodule.span_insert_zero Submodule.span_insert_zero -- See also `span_preimage_eq` below. theorem span_preimage_le (f : F) (s : Set M₂) : span R (f ⁻¹' s) ≤ (span R₂ s).comap f := by rw [span_le, comap_coe] exact preimage_mono subset_span #align submodule.span_preimage_le Submodule.span_preimage_le alias _root_.LinearMap.span_preimage_le := Submodule.span_preimage_le #align linear_map.span_preimage_le LinearMap.span_preimage_le theorem closure_subset_span {s : Set M} : (AddSubmonoid.closure s : Set M) ⊆ span R s := (@AddSubmonoid.closure_le _ _ _ (span R s).toAddSubmonoid).mpr subset_span #align submodule.closure_subset_span Submodule.closure_subset_span theorem closure_le_toAddSubmonoid_span {s : Set M} : AddSubmonoid.closure s ≤ (span R s).toAddSubmonoid := closure_subset_span #align submodule.closure_le_to_add_submonoid_span Submodule.closure_le_toAddSubmonoid_span @[simp] theorem span_closure {s : Set M} : span R (AddSubmonoid.closure s : Set M) = span R s := le_antisymm (span_le.mpr closure_subset_span) (span_mono AddSubmonoid.subset_closure) #align submodule.span_closure Submodule.span_closure @[elab_as_elim] theorem span_induction {p : M → Prop} (h : x ∈ span R s) (mem : ∀ x ∈ s, p x) (zero : p 0) (add : ∀ x y, p x → p y → p (x + y)) (smul : ∀ (a : R) (x), p x → p (a • x)) : p x := ((@span_le (p := ⟨⟨⟨p, by intros x y; exact add x y⟩, zero⟩, smul⟩)) s).2 mem h #align submodule.span_induction Submodule.span_induction theorem span_induction₂ {p : M → M → Prop} {a b : M} (ha : a ∈ Submodule.span R s) (hb : b ∈ Submodule.span R s) (mem_mem : ∀ x ∈ s, ∀ y ∈ s, p x y) (zero_left : ∀ y, p 0 y) (zero_right : ∀ x, p x 0) (add_left : ∀ x₁ x₂ y, p x₁ y → p x₂ y → p (x₁ + x₂) y) (add_right : ∀ x y₁ y₂, p x y₁ → p x y₂ → p x (y₁ + y₂)) (smul_left : ∀ (r : R) x y, p x y → p (r • x) y) (smul_right : ∀ (r : R) x y, p x y → p x (r • y)) : p a b := Submodule.span_induction ha (fun x hx => Submodule.span_induction hb (mem_mem x hx) (zero_right x) (add_right x) fun r => smul_right r x) (zero_left b) (fun x₁ x₂ => add_left x₁ x₂ b) fun r x => smul_left r x b @[elab_as_elim] theorem span_induction' {p : ∀ x, x ∈ span R s → Prop} (mem : ∀ (x) (h : x ∈ s), p x (subset_span h)) (zero : p 0 (Submodule.zero_mem _)) (add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) (smul : ∀ (a : R) (x hx), p x hx → p (a • x) (Submodule.smul_mem _ _ ‹_›)) {x} (hx : x ∈ span R s) : p x hx := by refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) => hc refine span_induction hx (fun m hm => ⟨subset_span hm, mem m hm⟩) ⟨zero_mem _, zero⟩ (fun x y hx hy => Exists.elim hx fun hx' hx => Exists.elim hy fun hy' hy => ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩) fun r x hx => Exists.elim hx fun hx' hx => ⟨smul_mem _ _ hx', smul r _ _ hx⟩ #align submodule.span_induction' Submodule.span_induction' open AddSubmonoid in theorem span_eq_closure {s : Set M} : (span R s).toAddSubmonoid = closure (@univ R • s) := by refine le_antisymm (fun x hx ↦ span_induction hx (fun x hx ↦ subset_closure ⟨1, trivial, x, hx, one_smul R x⟩) (zero_mem _) (fun _ _ ↦ add_mem) fun r m hm ↦ closure_induction hm ?_ ?_ fun _ _ h h' ↦ ?_) (closure_le.2 ?_) · rintro _ ⟨r, -, m, hm, rfl⟩; exact smul_mem _ _ (subset_span hm) · rintro _ ⟨r', -, m, hm, rfl⟩; exact subset_closure ⟨r * r', trivial, m, hm, mul_smul r r' m⟩ · rw [smul_zero]; apply zero_mem · rw [smul_add]; exact add_mem h h' @[elab_as_elim] theorem closure_induction {p : M → Prop} (h : x ∈ span R s) (zero : p 0) (add : ∀ x y, p x → p y → p (x + y)) (smul_mem : ∀ r : R, ∀ x ∈ s, p (r • x)) : p x := by rw [← mem_toAddSubmonoid, span_eq_closure] at h refine AddSubmonoid.closure_induction h ?_ zero add rintro _ ⟨r, -, m, hm, rfl⟩ exact smul_mem r m hm @[elab_as_elim] theorem closure_induction' {p : ∀ x, x ∈ span R s → Prop} (zero : p 0 (Submodule.zero_mem _)) (add : ∀ x hx y hy, p x hx → p y hy → p (x + y) (Submodule.add_mem _ ‹_› ‹_›)) (smul_mem : ∀ (r x) (h : x ∈ s), p (r • x) (Submodule.smul_mem _ _ <| subset_span h)) {x} (hx : x ∈ span R s) : p x hx := by refine Exists.elim ?_ fun (hx : x ∈ span R s) (hc : p x hx) ↦ hc refine closure_induction hx ⟨zero_mem _, zero⟩ (fun x y hx hy ↦ Exists.elim hx fun hx' hx ↦ Exists.elim hy fun hy' hy ↦ ⟨add_mem hx' hy', add _ _ _ _ hx hy⟩) fun r x hx ↦ ⟨Submodule.smul_mem _ _ (subset_span hx), smul_mem r x hx⟩ @[simp] theorem span_span_coe_preimage : span R (((↑) : span R s → M) ⁻¹' s) = ⊤ := eq_top_iff.2 fun x ↦ Subtype.recOn x fun x hx _ ↦ by refine span_induction' (p := fun x hx ↦ (⟨x, hx⟩ : span R s) ∈ span R (Subtype.val ⁻¹' s)) (fun x' hx' ↦ subset_span hx') ?_ (fun x _ y _ ↦ ?_) (fun r x _ ↦ ?_) hx · exact zero_mem _ · exact add_mem · exact smul_mem _ _ #align submodule.span_span_coe_preimage Submodule.span_span_coe_preimage @[simp] lemma span_setOf_mem_eq_top : span R {x : span R s | (x : M) ∈ s} = ⊤ := span_span_coe_preimage theorem span_nat_eq_addSubmonoid_closure (s : Set M) : (span ℕ s).toAddSubmonoid = AddSubmonoid.closure s := by refine Eq.symm (AddSubmonoid.closure_eq_of_le subset_span ?_) apply (OrderIso.to_galoisConnection (AddSubmonoid.toNatSubmodule (M := M)).symm).l_le (a := span ℕ s) (b := AddSubmonoid.closure s) rw [span_le] exact AddSubmonoid.subset_closure #align submodule.span_nat_eq_add_submonoid_closure Submodule.span_nat_eq_addSubmonoid_closure @[simp] theorem span_nat_eq (s : AddSubmonoid M) : (span ℕ (s : Set M)).toAddSubmonoid = s := by rw [span_nat_eq_addSubmonoid_closure, s.closure_eq] #align submodule.span_nat_eq Submodule.span_nat_eq theorem span_int_eq_addSubgroup_closure {M : Type*} [AddCommGroup M] (s : Set M) : (span ℤ s).toAddSubgroup = AddSubgroup.closure s := Eq.symm <| AddSubgroup.closure_eq_of_le _ subset_span fun x hx => span_induction hx (fun x hx => AddSubgroup.subset_closure hx) (AddSubgroup.zero_mem _) (fun _ _ => AddSubgroup.add_mem _) fun _ _ _ => AddSubgroup.zsmul_mem _ ‹_› _ #align submodule.span_int_eq_add_subgroup_closure Submodule.span_int_eq_addSubgroup_closure @[simp] theorem span_int_eq {M : Type*} [AddCommGroup M] (s : AddSubgroup M) : (span ℤ (s : Set M)).toAddSubgroup = s := by rw [span_int_eq_addSubgroup_closure, s.closure_eq] #align submodule.span_int_eq Submodule.span_int_eq section variable (R M) protected def gi : GaloisInsertion (@span R M _ _ _) (↑) where choice s _ := span R s gc _ _ := span_le le_l_u _ := subset_span choice_eq _ _ := rfl #align submodule.gi Submodule.gi end @[simp] theorem span_empty : span R (∅ : Set M) = ⊥ := (Submodule.gi R M).gc.l_bot #align submodule.span_empty Submodule.span_empty @[simp] theorem span_univ : span R (univ : Set M) = ⊤ := eq_top_iff.2 <| SetLike.le_def.2 <| subset_span #align submodule.span_univ Submodule.span_univ theorem span_union (s t : Set M) : span R (s ∪ t) = span R s ⊔ span R t := (Submodule.gi R M).gc.l_sup #align submodule.span_union Submodule.span_union theorem span_iUnion {ι} (s : ι → Set M) : span R (⋃ i, s i) = ⨆ i, span R (s i) := (Submodule.gi R M).gc.l_iSup #align submodule.span_Union Submodule.span_iUnion theorem span_iUnion₂ {ι} {κ : ι → Sort*} (s : ∀ i, κ i → Set M) : span R (⋃ (i) (j), s i j) = ⨆ (i) (j), span R (s i j) := (Submodule.gi R M).gc.l_iSup₂ #align submodule.span_Union₂ Submodule.span_iUnion₂ theorem span_attach_biUnion [DecidableEq M] {α : Type*} (s : Finset α) (f : s → Finset M) : span R (s.attach.biUnion f : Set M) = ⨆ x, span R (f x) := by simp [span_iUnion] #align submodule.span_attach_bUnion Submodule.span_attach_biUnion theorem sup_span : p ⊔ span R s = span R (p ∪ s) := by rw [Submodule.span_union, p.span_eq] #align submodule.sup_span Submodule.sup_span theorem span_sup : span R s ⊔ p = span R (s ∪ p) := by rw [Submodule.span_union, p.span_eq] #align submodule.span_sup Submodule.span_sup notation:1000 R " ∙ " x => span R (singleton x) theorem span_eq_iSup_of_singleton_spans (s : Set M) : span R s = ⨆ x ∈ s, R ∙ x := by simp only [← span_iUnion, Set.biUnion_of_singleton s] #align submodule.span_eq_supr_of_singleton_spans Submodule.span_eq_iSup_of_singleton_spans theorem span_range_eq_iSup {ι : Sort*} {v : ι → M} : span R (range v) = ⨆ i, R ∙ v i := by rw [span_eq_iSup_of_singleton_spans, iSup_range] #align submodule.span_range_eq_supr Submodule.span_range_eq_iSup theorem span_smul_le (s : Set M) (r : R) : span R (r • s) ≤ span R s := by rw [span_le] rintro _ ⟨x, hx, rfl⟩ exact smul_mem (span R s) r (subset_span hx) #align submodule.span_smul_le Submodule.span_smul_le theorem subset_span_trans {U V W : Set M} (hUV : U ⊆ Submodule.span R V) (hVW : V ⊆ Submodule.span R W) : U ⊆ Submodule.span R W := (Submodule.gi R M).gc.le_u_l_trans hUV hVW #align submodule.subset_span_trans Submodule.subset_span_trans theorem span_smul_eq_of_isUnit (s : Set M) (r : R) (hr : IsUnit r) : span R (r • s) = span R s := by apply le_antisymm · apply span_smul_le · convert span_smul_le (r • s) ((hr.unit⁻¹ : _) : R) rw [smul_smul] erw [hr.unit.inv_val] rw [one_smul] #align submodule.span_smul_eq_of_is_unit Submodule.span_smul_eq_of_isUnit @[simp] theorem coe_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) : ((iSup S: Submodule R M) : Set M) = ⋃ i, S i := let s : Submodule R M := { __ := AddSubmonoid.copy _ _ (AddSubmonoid.coe_iSup_of_directed H).symm smul_mem' := fun r _ hx ↦ have ⟨i, hi⟩ := Set.mem_iUnion.mp hx Set.mem_iUnion.mpr ⟨i, (S i).smul_mem' r hi⟩ } have : iSup S = s := le_antisymm (iSup_le fun i ↦ le_iSup (fun i ↦ (S i : Set M)) i) (Set.iUnion_subset fun _ ↦ le_iSup S _) this.symm ▸ rfl #align submodule.coe_supr_of_directed Submodule.coe_iSup_of_directed @[simp] theorem mem_iSup_of_directed {ι} [Nonempty ι] (S : ι → Submodule R M) (H : Directed (· ≤ ·) S) {x} : x ∈ iSup S ↔ ∃ i, x ∈ S i := by rw [← SetLike.mem_coe, coe_iSup_of_directed S H, mem_iUnion] rfl #align submodule.mem_supr_of_directed Submodule.mem_iSup_of_directed theorem mem_sSup_of_directed {s : Set (Submodule R M)} {z} (hs : s.Nonempty) (hdir : DirectedOn (· ≤ ·) s) : z ∈ sSup s ↔ ∃ y ∈ s, z ∈ y := by have : Nonempty s := hs.to_subtype simp only [sSup_eq_iSup', mem_iSup_of_directed _ hdir.directed_val, SetCoe.exists, Subtype.coe_mk, exists_prop] #align submodule.mem_Sup_of_directed Submodule.mem_sSup_of_directed @[norm_cast, simp] theorem coe_iSup_of_chain (a : ℕ →o Submodule R M) : (↑(⨆ k, a k) : Set M) = ⋃ k, (a k : Set M) := coe_iSup_of_directed a a.monotone.directed_le #align submodule.coe_supr_of_chain Submodule.coe_iSup_of_chain theorem coe_scott_continuous : OmegaCompletePartialOrder.Continuous' ((↑) : Submodule R M → Set M) := ⟨SetLike.coe_mono, coe_iSup_of_chain⟩ #align submodule.coe_scott_continuous Submodule.coe_scott_continuous @[simp] theorem mem_iSup_of_chain (a : ℕ →o Submodule R M) (m : M) : (m ∈ ⨆ k, a k) ↔ ∃ k, m ∈ a k := mem_iSup_of_directed a a.monotone.directed_le #align submodule.mem_supr_of_chain Submodule.mem_iSup_of_chain section variable {p p'} theorem mem_sup : x ∈ p ⊔ p' ↔ ∃ y ∈ p, ∃ z ∈ p', y + z = x := ⟨fun h => by rw [← span_eq p, ← span_eq p', ← span_union] at h refine span_induction h ?_ ?_ ?_ ?_ · rintro y (h | h) · exact ⟨y, h, 0, by simp, by simp⟩ · exact ⟨0, by simp, y, h, by simp⟩ · exact ⟨0, by simp, 0, by simp⟩ · rintro _ _ ⟨y₁, hy₁, z₁, hz₁, rfl⟩ ⟨y₂, hy₂, z₂, hz₂, rfl⟩ exact ⟨_, add_mem hy₁ hy₂, _, add_mem hz₁ hz₂, by rw [add_assoc, add_assoc, ← add_assoc y₂, ← add_assoc z₁, add_comm y₂]⟩ · rintro a _ ⟨y, hy, z, hz, rfl⟩ exact ⟨_, smul_mem _ a hy, _, smul_mem _ a hz, by simp [smul_add]⟩, by rintro ⟨y, hy, z, hz, rfl⟩ exact add_mem ((le_sup_left : p ≤ p ⊔ p') hy) ((le_sup_right : p' ≤ p ⊔ p') hz)⟩ #align submodule.mem_sup Submodule.mem_sup theorem mem_sup' : x ∈ p ⊔ p' ↔ ∃ (y : p) (z : p'), (y : M) + z = x := mem_sup.trans <| by simp only [Subtype.exists, exists_prop] #align submodule.mem_sup' Submodule.mem_sup' lemma exists_add_eq_of_codisjoint (h : Codisjoint p p') (x : M) : ∃ y ∈ p, ∃ z ∈ p', y + z = x := by suffices x ∈ p ⊔ p' by exact Submodule.mem_sup.mp this simpa only [h.eq_top] using Submodule.mem_top variable (p p') theorem coe_sup : ↑(p ⊔ p') = (p + p' : Set M) := by ext rw [SetLike.mem_coe, mem_sup, Set.mem_add] simp #align submodule.coe_sup Submodule.coe_sup theorem sup_toAddSubmonoid : (p ⊔ p').toAddSubmonoid = p.toAddSubmonoid ⊔ p'.toAddSubmonoid := by ext x rw [mem_toAddSubmonoid, mem_sup, AddSubmonoid.mem_sup] rfl #align submodule.sup_to_add_submonoid Submodule.sup_toAddSubmonoid theorem sup_toAddSubgroup {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] (p p' : Submodule R M) : (p ⊔ p').toAddSubgroup = p.toAddSubgroup ⊔ p'.toAddSubgroup := by ext x rw [mem_toAddSubgroup, mem_sup, AddSubgroup.mem_sup] rfl #align submodule.sup_to_add_subgroup Submodule.sup_toAddSubgroup end theorem mem_span_singleton_self (x : M) : x ∈ R ∙ x := subset_span rfl #align submodule.mem_span_singleton_self Submodule.mem_span_singleton_self theorem nontrivial_span_singleton {x : M} (h : x ≠ 0) : Nontrivial (R ∙ x) := ⟨by use 0, ⟨x, Submodule.mem_span_singleton_self x⟩ intro H rw [eq_comm, Submodule.mk_eq_zero] at H exact h H⟩ #align submodule.nontrivial_span_singleton Submodule.nontrivial_span_singleton theorem mem_span_singleton {y : M} : (x ∈ R ∙ y) ↔ ∃ a : R, a • y = x := ⟨fun h => by refine span_induction h ?_ ?_ ?_ ?_ · rintro y (rfl | ⟨⟨_⟩⟩) exact ⟨1, by simp⟩ · exact ⟨0, by simp⟩ · rintro _ _ ⟨a, rfl⟩ ⟨b, rfl⟩ exact ⟨a + b, by simp [add_smul]⟩ · rintro a _ ⟨b, rfl⟩ exact ⟨a * b, by simp [smul_smul]⟩, by rintro ⟨a, y, rfl⟩; exact smul_mem _ _ (subset_span <| by simp)⟩ #align submodule.mem_span_singleton Submodule.mem_span_singleton theorem le_span_singleton_iff {s : Submodule R M} {v₀ : M} : (s ≤ R ∙ v₀) ↔ ∀ v ∈ s, ∃ r : R, r • v₀ = v := by simp_rw [SetLike.le_def, mem_span_singleton] #align submodule.le_span_singleton_iff Submodule.le_span_singleton_iff variable (R) theorem span_singleton_eq_top_iff (x : M) : (R ∙ x) = ⊤ ↔ ∀ v, ∃ r : R, r • x = v := by rw [eq_top_iff, le_span_singleton_iff] tauto #align submodule.span_singleton_eq_top_iff Submodule.span_singleton_eq_top_iff @[simp] theorem span_zero_singleton : (R ∙ (0 : M)) = ⊥ := by ext simp [mem_span_singleton, eq_comm] #align submodule.span_zero_singleton Submodule.span_zero_singleton theorem span_singleton_eq_range (y : M) : ↑(R ∙ y) = range ((· • y) : R → M) := Set.ext fun _ => mem_span_singleton #align submodule.span_singleton_eq_range Submodule.span_singleton_eq_range theorem span_singleton_smul_le {S} [Monoid S] [SMul S R] [MulAction S M] [IsScalarTower S R M] (r : S) (x : M) : (R ∙ r • x) ≤ R ∙ x := by rw [span_le, Set.singleton_subset_iff, SetLike.mem_coe] exact smul_of_tower_mem _ _ (mem_span_singleton_self _) #align submodule.span_singleton_smul_le Submodule.span_singleton_smul_le theorem span_singleton_group_smul_eq {G} [Group G] [SMul G R] [MulAction G M] [IsScalarTower G R M] (g : G) (x : M) : (R ∙ g • x) = R ∙ x := by refine le_antisymm (span_singleton_smul_le R g x) ?_ convert span_singleton_smul_le R g⁻¹ (g • x) exact (inv_smul_smul g x).symm #align submodule.span_singleton_group_smul_eq Submodule.span_singleton_group_smul_eq variable {R} theorem span_singleton_smul_eq {r : R} (hr : IsUnit r) (x : M) : (R ∙ r • x) = R ∙ x := by lift r to Rˣ using hr rw [← Units.smul_def] exact span_singleton_group_smul_eq R r x #align submodule.span_singleton_smul_eq Submodule.span_singleton_smul_eq theorem disjoint_span_singleton {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E] {s : Submodule K E} {x : E} : Disjoint s (K ∙ x) ↔ x ∈ s → x = 0 := by refine disjoint_def.trans ⟨fun H hx => H x hx <| subset_span <| mem_singleton x, ?_⟩ intro H y hy hyx obtain ⟨c, rfl⟩ := mem_span_singleton.1 hyx by_cases hc : c = 0 · rw [hc, zero_smul] · rw [s.smul_mem_iff hc] at hy rw [H hy, smul_zero] #align submodule.disjoint_span_singleton Submodule.disjoint_span_singleton theorem disjoint_span_singleton' {K E : Type*} [DivisionRing K] [AddCommGroup E] [Module K E] {p : Submodule K E} {x : E} (x0 : x ≠ 0) : Disjoint p (K ∙ x) ↔ x ∉ p := disjoint_span_singleton.trans ⟨fun h₁ h₂ => x0 (h₁ h₂), fun h₁ h₂ => (h₁ h₂).elim⟩ #align submodule.disjoint_span_singleton' Submodule.disjoint_span_singleton' theorem mem_span_singleton_trans {x y z : M} (hxy : x ∈ R ∙ y) (hyz : y ∈ R ∙ z) : x ∈ R ∙ z := by rw [← SetLike.mem_coe, ← singleton_subset_iff] at * exact Submodule.subset_span_trans hxy hyz #align submodule.mem_span_singleton_trans Submodule.mem_span_singleton_trans theorem span_insert (x) (s : Set M) : span R (insert x s) = (R ∙ x) ⊔ span R s := by rw [insert_eq, span_union] #align submodule.span_insert Submodule.span_insert theorem span_insert_eq_span (h : x ∈ span R s) : span R (insert x s) = span R s := span_eq_of_le _ (Set.insert_subset_iff.mpr ⟨h, subset_span⟩) (span_mono <| subset_insert _ _) #align submodule.span_insert_eq_span Submodule.span_insert_eq_span theorem span_span : span R (span R s : Set M) = span R s := span_eq _ #align submodule.span_span Submodule.span_span theorem mem_span_insert {y} : x ∈ span R (insert y s) ↔ ∃ a : R, ∃ z ∈ span R s, x = a • y + z := by simp [span_insert, mem_sup, mem_span_singleton, eq_comm (a := x)] #align submodule.mem_span_insert Submodule.mem_span_insert theorem mem_span_pair {x y z : M} : z ∈ span R ({x, y} : Set M) ↔ ∃ a b : R, a • x + b • y = z := by simp_rw [mem_span_insert, mem_span_singleton, exists_exists_eq_and, eq_comm] #align submodule.mem_span_pair Submodule.mem_span_pair variable (R S s) theorem span_le_restrictScalars [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] : span R s ≤ (span S s).restrictScalars R := Submodule.span_le.2 Submodule.subset_span #align submodule.span_le_restrict_scalars Submodule.span_le_restrictScalars @[simp] theorem span_subset_span [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] : ↑(span R s) ⊆ (span S s : Set M) := span_le_restrictScalars R S s #align submodule.span_subset_span Submodule.span_subset_span theorem span_span_of_tower [Semiring S] [SMul R S] [Module S M] [IsScalarTower R S M] : span S (span R s : Set M) = span S s := le_antisymm (span_le.2 <| span_subset_span R S s) (span_mono subset_span) #align submodule.span_span_of_tower Submodule.span_span_of_tower variable {R S s} theorem span_eq_bot : span R (s : Set M) = ⊥ ↔ ∀ x ∈ s, (x : M) = 0 := eq_bot_iff.trans ⟨fun H _ h => (mem_bot R).1 <| H <| subset_span h, fun H => span_le.2 fun x h => (mem_bot R).2 <| H x h⟩ #align submodule.span_eq_bot Submodule.span_eq_bot @[simp] theorem span_singleton_eq_bot : (R ∙ x) = ⊥ ↔ x = 0 := span_eq_bot.trans <| by simp #align submodule.span_singleton_eq_bot Submodule.span_singleton_eq_bot @[simp] theorem span_zero : span R (0 : Set M) = ⊥ := by rw [← singleton_zero, span_singleton_eq_bot] #align submodule.span_zero Submodule.span_zero @[simp] theorem span_singleton_le_iff_mem (m : M) (p : Submodule R M) : (R ∙ m) ≤ p ↔ m ∈ p := by rw [span_le, singleton_subset_iff, SetLike.mem_coe] #align submodule.span_singleton_le_iff_mem Submodule.span_singleton_le_iff_mem theorem span_singleton_eq_span_singleton {R M : Type*} [Ring R] [AddCommGroup M] [Module R M] [NoZeroSMulDivisors R M] {x y : M} : ((R ∙ x) = R ∙ y) ↔ ∃ z : Rˣ, z • x = y := by constructor · simp only [le_antisymm_iff, span_singleton_le_iff_mem, mem_span_singleton] rintro ⟨⟨a, rfl⟩, b, hb⟩ rcases eq_or_ne y 0 with rfl | hy; · simp refine ⟨⟨b, a, ?_, ?_⟩, hb⟩ · apply smul_left_injective R hy simpa only [mul_smul, one_smul] · rw [← hb] at hy apply smul_left_injective R (smul_ne_zero_iff.1 hy).2 simp only [mul_smul, one_smul, hb] · rintro ⟨u, rfl⟩ exact (span_singleton_group_smul_eq _ _ _).symm #align submodule.span_singleton_eq_span_singleton Submodule.span_singleton_eq_span_singleton -- Should be `@[simp]` but doesn't fire due to `lean4#3701`. theorem span_image [RingHomSurjective σ₁₂] (f : F) : span R₂ (f '' s) = map f (span R s) := (map_span f s).symm #align submodule.span_image Submodule.span_image @[simp] -- Should be replaced with `Submodule.span_image` when `lean4#3701` is fixed. theorem span_image' [RingHomSurjective σ₁₂] (f : M →ₛₗ[σ₁₂] M₂) : span R₂ (f '' s) = map f (span R s) := span_image _ theorem apply_mem_span_image_of_mem_span [RingHomSurjective σ₁₂] (f : F) {x : M} {s : Set M} (h : x ∈ Submodule.span R s) : f x ∈ Submodule.span R₂ (f '' s) := by rw [Submodule.span_image] exact Submodule.mem_map_of_mem h #align submodule.apply_mem_span_image_of_mem_span Submodule.apply_mem_span_image_of_mem_span theorem apply_mem_span_image_iff_mem_span [RingHomSurjective σ₁₂] {f : F} {x : M} {s : Set M} (hf : Function.Injective f) : f x ∈ Submodule.span R₂ (f '' s) ↔ x ∈ Submodule.span R s := by rw [← Submodule.mem_comap, ← Submodule.map_span, Submodule.comap_map_eq_of_injective hf] @[simp] theorem map_subtype_span_singleton {p : Submodule R M} (x : p) : map p.subtype (R ∙ x) = R ∙ (x : M) := by simp [← span_image] #align submodule.map_subtype_span_singleton Submodule.map_subtype_span_singleton theorem not_mem_span_of_apply_not_mem_span_image [RingHomSurjective σ₁₂] (f : F) {x : M} {s : Set M} (h : f x ∉ Submodule.span R₂ (f '' s)) : x ∉ Submodule.span R s := h.imp (apply_mem_span_image_of_mem_span f) #align submodule.not_mem_span_of_apply_not_mem_span_image Submodule.not_mem_span_of_apply_not_mem_span_image theorem iSup_span {ι : Sort*} (p : ι → Set M) : ⨆ i, span R (p i) = span R (⋃ i, p i) := le_antisymm (iSup_le fun i => span_mono <| subset_iUnion _ i) <| span_le.mpr <| iUnion_subset fun i _ hm => mem_iSup_of_mem i <| subset_span hm #align submodule.supr_span Submodule.iSup_span theorem iSup_eq_span {ι : Sort*} (p : ι → Submodule R M) : ⨆ i, p i = span R (⋃ i, ↑(p i)) := by simp_rw [← iSup_span, span_eq] #align submodule.supr_eq_span Submodule.iSup_eq_span theorem iSup_toAddSubmonoid {ι : Sort*} (p : ι → Submodule R M) : (⨆ i, p i).toAddSubmonoid = ⨆ i, (p i).toAddSubmonoid := by refine le_antisymm (fun x => ?_) (iSup_le fun i => toAddSubmonoid_mono <| le_iSup _ i) simp_rw [iSup_eq_span, AddSubmonoid.iSup_eq_closure, mem_toAddSubmonoid, coe_toAddSubmonoid] intro hx refine Submodule.span_induction hx (fun x hx => ?_) ?_ (fun x y hx hy => ?_) fun r x hx => ?_ · exact AddSubmonoid.subset_closure hx · exact AddSubmonoid.zero_mem _ · exact AddSubmonoid.add_mem _ hx hy · refine AddSubmonoid.closure_induction hx ?_ ?_ ?_ · rintro x ⟨_, ⟨i, rfl⟩, hix : x ∈ p i⟩ apply AddSubmonoid.subset_closure (Set.mem_iUnion.mpr ⟨i, _⟩) exact smul_mem _ r hix · rw [smul_zero] exact AddSubmonoid.zero_mem _ · intro x y hx hy rw [smul_add] exact AddSubmonoid.add_mem _ hx hy #align submodule.supr_to_add_submonoid Submodule.iSup_toAddSubmonoid @[elab_as_elim] theorem iSup_induction {ι : Sort*} (p : ι → Submodule R M) {C : M → Prop} {x : M} (hx : x ∈ ⨆ i, p i) (hp : ∀ (i), ∀ x ∈ p i, C x) (h0 : C 0) (hadd : ∀ x y, C x → C y → C (x + y)) : C x := by rw [← mem_toAddSubmonoid, iSup_toAddSubmonoid] at hx exact AddSubmonoid.iSup_induction (x := x) _ hx hp h0 hadd #align submodule.supr_induction Submodule.iSup_induction @[elab_as_elim] theorem iSup_induction' {ι : Sort*} (p : ι → Submodule R M) {C : ∀ x, (x ∈ ⨆ i, p i) → Prop} (mem : ∀ (i) (x) (hx : x ∈ p i), C x (mem_iSup_of_mem i hx)) (zero : C 0 (zero_mem _)) (add : ∀ x y hx hy, C x hx → C y hy → C (x + y) (add_mem ‹_› ‹_›)) {x : M} (hx : x ∈ ⨆ i, p i) : C x hx := by refine Exists.elim ?_ fun (hx : x ∈ ⨆ i, p i) (hc : C x hx) => hc refine iSup_induction p (C := fun x : M ↦ ∃ (hx : x ∈ ⨆ i, p i), C x hx) hx (fun i x hx => ?_) ?_ fun x y => ?_ · exact ⟨_, mem _ _ hx⟩ · exact ⟨_, zero⟩ · rintro ⟨_, Cx⟩ ⟨_, Cy⟩ exact ⟨_, add _ _ _ _ Cx Cy⟩ #align submodule.supr_induction' Submodule.iSup_induction' theorem singleton_span_isCompactElement (x : M) : CompleteLattice.IsCompactElement (span R {x} : Submodule R M) := by rw [CompleteLattice.isCompactElement_iff_le_of_directed_sSup_le] intro d hemp hdir hsup have : x ∈ (sSup d) := (SetLike.le_def.mp hsup) (mem_span_singleton_self x) obtain ⟨y, ⟨hyd, hxy⟩⟩ := (mem_sSup_of_directed hemp hdir).mp this exact ⟨y, ⟨hyd, by simpa only [span_le, singleton_subset_iff] ⟩⟩ #align submodule.singleton_span_is_compact_element Submodule.singleton_span_isCompactElement theorem finset_span_isCompactElement (S : Finset M) : CompleteLattice.IsCompactElement (span R S : Submodule R M) := by rw [span_eq_iSup_of_singleton_spans] simp only [Finset.mem_coe] rw [← Finset.sup_eq_iSup] exact CompleteLattice.isCompactElement_finsetSup S fun x _ => singleton_span_isCompactElement x #align submodule.finset_span_is_compact_element Submodule.finset_span_isCompactElement theorem finite_span_isCompactElement (S : Set M) (h : S.Finite) : CompleteLattice.IsCompactElement (span R S : Submodule R M) := Finite.coe_toFinset h ▸ finset_span_isCompactElement h.toFinset #align submodule.finite_span_is_compact_element Submodule.finite_span_isCompactElement instance : IsCompactlyGenerated (Submodule R M) := ⟨fun s => ⟨(fun x => span R {x}) '' s, ⟨fun t ht => by rcases (Set.mem_image _ _ _).1 ht with ⟨x, _, rfl⟩ apply singleton_span_isCompactElement, by rw [sSup_eq_iSup, iSup_image, ← span_eq_iSup_of_singleton_spans, span_eq]⟩⟩⟩ theorem submodule_eq_sSup_le_nonzero_spans (p : Submodule R M) : p = sSup { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} } := by let S := { T : Submodule R M | ∃ m ∈ p, m ≠ 0 ∧ T = span R {m} } apply le_antisymm · intro m hm by_cases h : m = 0 · rw [h] simp · exact @le_sSup _ _ S _ ⟨m, ⟨hm, ⟨h, rfl⟩⟩⟩ m (mem_span_singleton_self m) · rw [sSup_le_iff] rintro S ⟨_, ⟨_, ⟨_, rfl⟩⟩⟩ rwa [span_singleton_le_iff_mem] #align submodule.submodule_eq_Sup_le_nonzero_spans Submodule.submodule_eq_sSup_le_nonzero_spans theorem lt_sup_iff_not_mem {I : Submodule R M} {a : M} : (I < I ⊔ R ∙ a) ↔ a ∉ I := by simp #align submodule.lt_sup_iff_not_mem Submodule.lt_sup_iff_not_mem
Mathlib/LinearAlgebra/Span.lean
782
785
theorem mem_iSup {ι : Sort*} (p : ι → Submodule R M) {m : M} : (m ∈ ⨆ i, p i) ↔ ∀ N, (∀ i, p i ≤ N) → m ∈ N := by
rw [← span_singleton_le_iff_mem, le_iSup_iff] simp only [span_singleton_le_iff_mem]
import Mathlib.Algebra.MonoidAlgebra.Degree import Mathlib.Algebra.Polynomial.Coeff import Mathlib.Algebra.Polynomial.Monomial import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.Nat.WithBot import Mathlib.Data.Nat.Cast.WithTop import Mathlib.Data.Nat.SuccPred #align_import data.polynomial.degree.definitions from "leanprover-community/mathlib"@"808ea4ebfabeb599f21ec4ae87d6dc969597887f" -- Porting note: `Mathlib.Data.Nat.Cast.WithTop` should be imported for `Nat.cast_withBot`. set_option linter.uppercaseLean3 false noncomputable section open Finsupp Finset open Polynomial namespace Polynomial universe u v variable {R : Type u} {S : Type v} {a b c d : R} {n m : ℕ} section Semiring variable [Semiring R] {p q r : R[X]} def degree (p : R[X]) : WithBot ℕ := p.support.max #align polynomial.degree Polynomial.degree theorem supDegree_eq_degree (p : R[X]) : p.toFinsupp.supDegree WithBot.some = p.degree := max_eq_sup_coe theorem degree_lt_wf : WellFounded fun p q : R[X] => degree p < degree q := InvImage.wf degree wellFounded_lt #align polynomial.degree_lt_wf Polynomial.degree_lt_wf instance : WellFoundedRelation R[X] := ⟨_, degree_lt_wf⟩ def natDegree (p : R[X]) : ℕ := (degree p).unbot' 0 #align polynomial.nat_degree Polynomial.natDegree def leadingCoeff (p : R[X]) : R := coeff p (natDegree p) #align polynomial.leading_coeff Polynomial.leadingCoeff def Monic (p : R[X]) := leadingCoeff p = (1 : R) #align polynomial.monic Polynomial.Monic @[nontriviality] theorem monic_of_subsingleton [Subsingleton R] (p : R[X]) : Monic p := Subsingleton.elim _ _ #align polynomial.monic_of_subsingleton Polynomial.monic_of_subsingleton theorem Monic.def : Monic p ↔ leadingCoeff p = 1 := Iff.rfl #align polynomial.monic.def Polynomial.Monic.def instance Monic.decidable [DecidableEq R] : Decidable (Monic p) := by unfold Monic; infer_instance #align polynomial.monic.decidable Polynomial.Monic.decidable @[simp] theorem Monic.leadingCoeff {p : R[X]} (hp : p.Monic) : leadingCoeff p = 1 := hp #align polynomial.monic.leading_coeff Polynomial.Monic.leadingCoeff theorem Monic.coeff_natDegree {p : R[X]} (hp : p.Monic) : p.coeff p.natDegree = 1 := hp #align polynomial.monic.coeff_nat_degree Polynomial.Monic.coeff_natDegree @[simp] theorem degree_zero : degree (0 : R[X]) = ⊥ := rfl #align polynomial.degree_zero Polynomial.degree_zero @[simp] theorem natDegree_zero : natDegree (0 : R[X]) = 0 := rfl #align polynomial.nat_degree_zero Polynomial.natDegree_zero @[simp] theorem coeff_natDegree : coeff p (natDegree p) = leadingCoeff p := rfl #align polynomial.coeff_nat_degree Polynomial.coeff_natDegree @[simp] theorem degree_eq_bot : degree p = ⊥ ↔ p = 0 := ⟨fun h => support_eq_empty.1 (Finset.max_eq_bot.1 h), fun h => h.symm ▸ rfl⟩ #align polynomial.degree_eq_bot Polynomial.degree_eq_bot @[nontriviality] theorem degree_of_subsingleton [Subsingleton R] : degree p = ⊥ := by rw [Subsingleton.elim p 0, degree_zero] #align polynomial.degree_of_subsingleton Polynomial.degree_of_subsingleton @[nontriviality] theorem natDegree_of_subsingleton [Subsingleton R] : natDegree p = 0 := by rw [Subsingleton.elim p 0, natDegree_zero] #align polynomial.nat_degree_of_subsingleton Polynomial.natDegree_of_subsingleton theorem degree_eq_natDegree (hp : p ≠ 0) : degree p = (natDegree p : WithBot ℕ) := by let ⟨n, hn⟩ := not_forall.1 (mt Option.eq_none_iff_forall_not_mem.2 (mt degree_eq_bot.1 hp)) have hn : degree p = some n := Classical.not_not.1 hn rw [natDegree, hn]; rfl #align polynomial.degree_eq_nat_degree Polynomial.degree_eq_natDegree theorem supDegree_eq_natDegree (p : R[X]) : p.toFinsupp.supDegree id = p.natDegree := by obtain rfl|h := eq_or_ne p 0 · simp apply WithBot.coe_injective rw [← AddMonoidAlgebra.supDegree_withBot_some_comp, Function.comp_id, supDegree_eq_degree, degree_eq_natDegree h, Nat.cast_withBot] rwa [support_toFinsupp, nonempty_iff_ne_empty, Ne, support_eq_empty] theorem degree_eq_iff_natDegree_eq {p : R[X]} {n : ℕ} (hp : p ≠ 0) : p.degree = n ↔ p.natDegree = n := by rw [degree_eq_natDegree hp]; exact WithBot.coe_eq_coe #align polynomial.degree_eq_iff_nat_degree_eq Polynomial.degree_eq_iff_natDegree_eq theorem degree_eq_iff_natDegree_eq_of_pos {p : R[X]} {n : ℕ} (hn : 0 < n) : p.degree = n ↔ p.natDegree = n := by obtain rfl|h := eq_or_ne p 0 · simp [hn.ne] · exact degree_eq_iff_natDegree_eq h #align polynomial.degree_eq_iff_nat_degree_eq_of_pos Polynomial.degree_eq_iff_natDegree_eq_of_pos theorem natDegree_eq_of_degree_eq_some {p : R[X]} {n : ℕ} (h : degree p = n) : natDegree p = n := by -- Porting note: `Nat.cast_withBot` is required. rw [natDegree, h, Nat.cast_withBot, WithBot.unbot'_coe] #align polynomial.nat_degree_eq_of_degree_eq_some Polynomial.natDegree_eq_of_degree_eq_some theorem degree_ne_of_natDegree_ne {n : ℕ} : p.natDegree ≠ n → degree p ≠ n := mt natDegree_eq_of_degree_eq_some #align polynomial.degree_ne_of_nat_degree_ne Polynomial.degree_ne_of_natDegree_ne @[simp] theorem degree_le_natDegree : degree p ≤ natDegree p := WithBot.giUnbot'Bot.gc.le_u_l _ #align polynomial.degree_le_nat_degree Polynomial.degree_le_natDegree theorem natDegree_eq_of_degree_eq [Semiring S] {q : S[X]} (h : degree p = degree q) : natDegree p = natDegree q := by unfold natDegree; rw [h] #align polynomial.nat_degree_eq_of_degree_eq Polynomial.natDegree_eq_of_degree_eq theorem le_degree_of_ne_zero (h : coeff p n ≠ 0) : (n : WithBot ℕ) ≤ degree p := by rw [Nat.cast_withBot] exact Finset.le_sup (mem_support_iff.2 h) #align polynomial.le_degree_of_ne_zero Polynomial.le_degree_of_ne_zero theorem le_natDegree_of_ne_zero (h : coeff p n ≠ 0) : n ≤ natDegree p := by rw [← Nat.cast_le (α := WithBot ℕ), ← degree_eq_natDegree] · exact le_degree_of_ne_zero h · rintro rfl exact h rfl #align polynomial.le_nat_degree_of_ne_zero Polynomial.le_natDegree_of_ne_zero theorem le_natDegree_of_mem_supp (a : ℕ) : a ∈ p.support → a ≤ natDegree p := le_natDegree_of_ne_zero ∘ mem_support_iff.mp #align polynomial.le_nat_degree_of_mem_supp Polynomial.le_natDegree_of_mem_supp theorem degree_eq_of_le_of_coeff_ne_zero (pn : p.degree ≤ n) (p1 : p.coeff n ≠ 0) : p.degree = n := pn.antisymm (le_degree_of_ne_zero p1) #align polynomial.degree_eq_of_le_of_coeff_ne_zero Polynomial.degree_eq_of_le_of_coeff_ne_zero theorem natDegree_eq_of_le_of_coeff_ne_zero (pn : p.natDegree ≤ n) (p1 : p.coeff n ≠ 0) : p.natDegree = n := pn.antisymm (le_natDegree_of_ne_zero p1) #align polynomial.nat_degree_eq_of_le_of_coeff_ne_zero Polynomial.natDegree_eq_of_le_of_coeff_ne_zero theorem degree_mono [Semiring S] {f : R[X]} {g : S[X]} (h : f.support ⊆ g.support) : f.degree ≤ g.degree := Finset.sup_mono h #align polynomial.degree_mono Polynomial.degree_mono theorem supp_subset_range (h : natDegree p < m) : p.support ⊆ Finset.range m := fun _n hn => mem_range.2 <| (le_natDegree_of_mem_supp _ hn).trans_lt h #align polynomial.supp_subset_range Polynomial.supp_subset_range theorem supp_subset_range_natDegree_succ : p.support ⊆ Finset.range (natDegree p + 1) := supp_subset_range (Nat.lt_succ_self _) #align polynomial.supp_subset_range_nat_degree_succ Polynomial.supp_subset_range_natDegree_succ theorem degree_le_degree (h : coeff q (natDegree p) ≠ 0) : degree p ≤ degree q := by by_cases hp : p = 0 · rw [hp, degree_zero] exact bot_le · rw [degree_eq_natDegree hp] exact le_degree_of_ne_zero h #align polynomial.degree_le_degree Polynomial.degree_le_degree theorem natDegree_le_iff_degree_le {n : ℕ} : natDegree p ≤ n ↔ degree p ≤ n := WithBot.unbot'_le_iff (fun _ ↦ bot_le) #align polynomial.nat_degree_le_iff_degree_le Polynomial.natDegree_le_iff_degree_le theorem natDegree_lt_iff_degree_lt (hp : p ≠ 0) : p.natDegree < n ↔ p.degree < ↑n := WithBot.unbot'_lt_iff (absurd · (degree_eq_bot.not.mpr hp)) #align polynomial.nat_degree_lt_iff_degree_lt Polynomial.natDegree_lt_iff_degree_lt alias ⟨degree_le_of_natDegree_le, natDegree_le_of_degree_le⟩ := natDegree_le_iff_degree_le #align polynomial.degree_le_of_nat_degree_le Polynomial.degree_le_of_natDegree_le #align polynomial.nat_degree_le_of_degree_le Polynomial.natDegree_le_of_degree_le theorem natDegree_le_natDegree [Semiring S] {q : S[X]} (hpq : p.degree ≤ q.degree) : p.natDegree ≤ q.natDegree := WithBot.giUnbot'Bot.gc.monotone_l hpq #align polynomial.nat_degree_le_nat_degree Polynomial.natDegree_le_natDegree theorem natDegree_lt_natDegree {p q : R[X]} (hp : p ≠ 0) (hpq : p.degree < q.degree) : p.natDegree < q.natDegree := by by_cases hq : q = 0 · exact (not_lt_bot <| hq ▸ hpq).elim rwa [degree_eq_natDegree hp, degree_eq_natDegree hq, Nat.cast_lt] at hpq #align polynomial.nat_degree_lt_nat_degree Polynomial.natDegree_lt_natDegree @[simp] theorem degree_C (ha : a ≠ 0) : degree (C a) = (0 : WithBot ℕ) := by rw [degree, ← monomial_zero_left, support_monomial 0 ha, max_eq_sup_coe, sup_singleton, WithBot.coe_zero] #align polynomial.degree_C Polynomial.degree_C theorem degree_C_le : degree (C a) ≤ 0 := by by_cases h : a = 0 · rw [h, C_0] exact bot_le · rw [degree_C h] #align polynomial.degree_C_le Polynomial.degree_C_le theorem degree_C_lt : degree (C a) < 1 := degree_C_le.trans_lt <| WithBot.coe_lt_coe.mpr zero_lt_one #align polynomial.degree_C_lt Polynomial.degree_C_lt theorem degree_one_le : degree (1 : R[X]) ≤ (0 : WithBot ℕ) := by rw [← C_1]; exact degree_C_le #align polynomial.degree_one_le Polynomial.degree_one_le @[simp] theorem natDegree_C (a : R) : natDegree (C a) = 0 := by by_cases ha : a = 0 · have : C a = 0 := by rw [ha, C_0] rw [natDegree, degree_eq_bot.2 this, WithBot.unbot'_bot] · rw [natDegree, degree_C ha, WithBot.unbot_zero'] #align polynomial.nat_degree_C Polynomial.natDegree_C @[simp] theorem natDegree_one : natDegree (1 : R[X]) = 0 := natDegree_C 1 #align polynomial.nat_degree_one Polynomial.natDegree_one @[simp] theorem natDegree_natCast (n : ℕ) : natDegree (n : R[X]) = 0 := by simp only [← C_eq_natCast, natDegree_C] #align polynomial.nat_degree_nat_cast Polynomial.natDegree_natCast @[deprecated (since := "2024-04-17")] alias natDegree_nat_cast := natDegree_natCast theorem degree_natCast_le (n : ℕ) : degree (n : R[X]) ≤ 0 := degree_le_of_natDegree_le (by simp) @[deprecated (since := "2024-04-17")] alias degree_nat_cast_le := degree_natCast_le @[simp] theorem degree_monomial (n : ℕ) (ha : a ≠ 0) : degree (monomial n a) = n := by rw [degree, support_monomial n ha, max_singleton, Nat.cast_withBot] #align polynomial.degree_monomial Polynomial.degree_monomial @[simp] theorem degree_C_mul_X_pow (n : ℕ) (ha : a ≠ 0) : degree (C a * X ^ n) = n := by rw [C_mul_X_pow_eq_monomial, degree_monomial n ha] #align polynomial.degree_C_mul_X_pow Polynomial.degree_C_mul_X_pow theorem degree_C_mul_X (ha : a ≠ 0) : degree (C a * X) = 1 := by simpa only [pow_one] using degree_C_mul_X_pow 1 ha #align polynomial.degree_C_mul_X Polynomial.degree_C_mul_X theorem degree_monomial_le (n : ℕ) (a : R) : degree (monomial n a) ≤ n := letI := Classical.decEq R if h : a = 0 then by rw [h, (monomial n).map_zero, degree_zero]; exact bot_le else le_of_eq (degree_monomial n h) #align polynomial.degree_monomial_le Polynomial.degree_monomial_le theorem degree_C_mul_X_pow_le (n : ℕ) (a : R) : degree (C a * X ^ n) ≤ n := by rw [C_mul_X_pow_eq_monomial] apply degree_monomial_le #align polynomial.degree_C_mul_X_pow_le Polynomial.degree_C_mul_X_pow_le theorem degree_C_mul_X_le (a : R) : degree (C a * X) ≤ 1 := by simpa only [pow_one] using degree_C_mul_X_pow_le 1 a #align polynomial.degree_C_mul_X_le Polynomial.degree_C_mul_X_le @[simp] theorem natDegree_C_mul_X_pow (n : ℕ) (a : R) (ha : a ≠ 0) : natDegree (C a * X ^ n) = n := natDegree_eq_of_degree_eq_some (degree_C_mul_X_pow n ha) #align polynomial.nat_degree_C_mul_X_pow Polynomial.natDegree_C_mul_X_pow @[simp]
Mathlib/Algebra/Polynomial/Degree/Definitions.lean
326
327
theorem natDegree_C_mul_X (a : R) (ha : a ≠ 0) : natDegree (C a * X) = 1 := by
simpa only [pow_one] using natDegree_C_mul_X_pow 1 a ha
import Mathlib.Algebra.IsPrimePow import Mathlib.NumberTheory.ArithmeticFunction import Mathlib.Analysis.SpecialFunctions.Log.Basic #align_import number_theory.von_mangoldt from "leanprover-community/mathlib"@"c946d6097a6925ad16d7ec55677bbc977f9846de" namespace ArithmeticFunction open Finset Nat open scoped ArithmeticFunction noncomputable def log : ArithmeticFunction ℝ := ⟨fun n => Real.log n, by simp⟩ #align nat.arithmetic_function.log ArithmeticFunction.log @[simp] theorem log_apply {n : ℕ} : log n = Real.log n := rfl #align nat.arithmetic_function.log_apply ArithmeticFunction.log_apply noncomputable def vonMangoldt : ArithmeticFunction ℝ := ⟨fun n => if IsPrimePow n then Real.log (minFac n) else 0, if_neg not_isPrimePow_zero⟩ #align nat.arithmetic_function.von_mangoldt ArithmeticFunction.vonMangoldt @[inherit_doc] scoped[ArithmeticFunction] notation "Λ" => ArithmeticFunction.vonMangoldt @[inherit_doc] scoped[ArithmeticFunction.vonMangoldt] notation "Λ" => ArithmeticFunction.vonMangoldt theorem vonMangoldt_apply {n : ℕ} : Λ n = if IsPrimePow n then Real.log (minFac n) else 0 := rfl #align nat.arithmetic_function.von_mangoldt_apply ArithmeticFunction.vonMangoldt_apply @[simp] theorem vonMangoldt_apply_one : Λ 1 = 0 := by simp [vonMangoldt_apply] #align nat.arithmetic_function.von_mangoldt_apply_one ArithmeticFunction.vonMangoldt_apply_one @[simp] theorem vonMangoldt_nonneg {n : ℕ} : 0 ≤ Λ n := by rw [vonMangoldt_apply] split_ifs · exact Real.log_nonneg (one_le_cast.2 (Nat.minFac_pos n)) rfl #align nat.arithmetic_function.von_mangoldt_nonneg ArithmeticFunction.vonMangoldt_nonneg theorem vonMangoldt_apply_pow {n k : ℕ} (hk : k ≠ 0) : Λ (n ^ k) = Λ n := by simp only [vonMangoldt_apply, isPrimePow_pow_iff hk, pow_minFac hk] #align nat.arithmetic_function.von_mangoldt_apply_pow ArithmeticFunction.vonMangoldt_apply_pow theorem vonMangoldt_apply_prime {p : ℕ} (hp : p.Prime) : Λ p = Real.log p := by rw [vonMangoldt_apply, Prime.minFac_eq hp, if_pos hp.prime.isPrimePow] #align nat.arithmetic_function.von_mangoldt_apply_prime ArithmeticFunction.vonMangoldt_apply_prime theorem vonMangoldt_ne_zero_iff {n : ℕ} : Λ n ≠ 0 ↔ IsPrimePow n := by rcases eq_or_ne n 1 with (rfl | hn); · simp [not_isPrimePow_one] exact (Real.log_pos (one_lt_cast.2 (minFac_prime hn).one_lt)).ne'.ite_ne_right_iff #align nat.arithmetic_function.von_mangoldt_ne_zero_iff ArithmeticFunction.vonMangoldt_ne_zero_iff theorem vonMangoldt_pos_iff {n : ℕ} : 0 < Λ n ↔ IsPrimePow n := vonMangoldt_nonneg.lt_iff_ne.trans (ne_comm.trans vonMangoldt_ne_zero_iff) #align nat.arithmetic_function.von_mangoldt_pos_iff ArithmeticFunction.vonMangoldt_pos_iff theorem vonMangoldt_eq_zero_iff {n : ℕ} : Λ n = 0 ↔ ¬IsPrimePow n := vonMangoldt_ne_zero_iff.not_right #align nat.arithmetic_function.von_mangoldt_eq_zero_iff ArithmeticFunction.vonMangoldt_eq_zero_iff theorem vonMangoldt_sum {n : ℕ} : ∑ i ∈ n.divisors, Λ i = Real.log n := by refine recOnPrimeCoprime ?_ ?_ ?_ n · simp · intro p k hp rw [sum_divisors_prime_pow hp, cast_pow, Real.log_pow, Finset.sum_range_succ', Nat.pow_zero, vonMangoldt_apply_one] simp [vonMangoldt_apply_pow (Nat.succ_ne_zero _), vonMangoldt_apply_prime hp] intro a b ha' hb' hab ha hb simp only [vonMangoldt_apply, ← sum_filter] at ha hb ⊢ rw [mul_divisors_filter_prime_pow hab, filter_union, sum_union (disjoint_divisors_filter_isPrimePow hab), ha, hb, Nat.cast_mul, Real.log_mul (cast_ne_zero.2 (pos_of_gt ha').ne') (cast_ne_zero.2 (pos_of_gt hb').ne')] #align nat.arithmetic_function.von_mangoldt_sum ArithmeticFunction.vonMangoldt_sum @[simp] theorem vonMangoldt_mul_zeta : Λ * ζ = log := by ext n; rw [coe_mul_zeta_apply, vonMangoldt_sum]; rfl #align nat.arithmetic_function.von_mangoldt_mul_zeta ArithmeticFunction.vonMangoldt_mul_zeta @[simp] theorem zeta_mul_vonMangoldt : (ζ : ArithmeticFunction ℝ) * Λ = log := by rw [mul_comm]; simp #align nat.arithmetic_function.zeta_mul_von_mangoldt ArithmeticFunction.zeta_mul_vonMangoldt @[simp] theorem log_mul_moebius_eq_vonMangoldt : log * μ = Λ := by rw [← vonMangoldt_mul_zeta, mul_assoc, coe_zeta_mul_coe_moebius, mul_one] #align nat.arithmetic_function.log_mul_moebius_eq_von_mangoldt ArithmeticFunction.log_mul_moebius_eq_vonMangoldt @[simp]
Mathlib/NumberTheory/VonMangoldt.lean
140
141
theorem moebius_mul_log_eq_vonMangoldt : (μ : ArithmeticFunction ℝ) * log = Λ := by
rw [mul_comm]; simp
import Mathlib.Algebra.Polynomial.AlgebraMap import Mathlib.Algebra.Polynomial.Reverse import Mathlib.Algebra.Polynomial.Inductions import Mathlib.RingTheory.Localization.Basic #align_import data.polynomial.laurent from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86" open Polynomial Function AddMonoidAlgebra Finsupp noncomputable section variable {R : Type*} abbrev LaurentPolynomial (R : Type*) [Semiring R] := AddMonoidAlgebra R ℤ #align laurent_polynomial LaurentPolynomial @[nolint docBlame] scoped[LaurentPolynomial] notation:9000 R "[T;T⁻¹]" => LaurentPolynomial R open LaurentPolynomial -- Porting note: `ext` no longer applies `Finsupp.ext` automatically @[ext] theorem LaurentPolynomial.ext [Semiring R] {p q : R[T;T⁻¹]} (h : ∀ a, p a = q a) : p = q := Finsupp.ext h def Polynomial.toLaurent [Semiring R] : R[X] →+* R[T;T⁻¹] := (mapDomainRingHom R Int.ofNatHom).comp (toFinsuppIso R) #align polynomial.to_laurent Polynomial.toLaurent theorem Polynomial.toLaurent_apply [Semiring R] (p : R[X]) : toLaurent p = p.toFinsupp.mapDomain (↑) := rfl #align polynomial.to_laurent_apply Polynomial.toLaurent_apply def Polynomial.toLaurentAlg [CommSemiring R] : R[X] →ₐ[R] R[T;T⁻¹] := (mapDomainAlgHom R R Int.ofNatHom).comp (toFinsuppIsoAlg R).toAlgHom #align polynomial.to_laurent_alg Polynomial.toLaurentAlg @[simp] lemma Polynomial.coe_toLaurentAlg [CommSemiring R] : (toLaurentAlg : R[X] → R[T;T⁻¹]) = toLaurent := rfl theorem Polynomial.toLaurentAlg_apply [CommSemiring R] (f : R[X]) : toLaurentAlg f = toLaurent f := rfl #align polynomial.to_laurent_alg_apply Polynomial.toLaurentAlg_apply namespace LaurentPolynomial section Semiring variable [Semiring R] theorem single_zero_one_eq_one : (Finsupp.single 0 1 : R[T;T⁻¹]) = (1 : R[T;T⁻¹]) := rfl #align laurent_polynomial.single_zero_one_eq_one LaurentPolynomial.single_zero_one_eq_one def C : R →+* R[T;T⁻¹] := singleZeroRingHom set_option linter.uppercaseLean3 false in #align laurent_polynomial.C LaurentPolynomial.C theorem algebraMap_apply {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (r : R) : algebraMap R (LaurentPolynomial A) r = C (algebraMap R A r) := rfl #align laurent_polynomial.algebra_map_apply LaurentPolynomial.algebraMap_apply theorem C_eq_algebraMap {R : Type*} [CommSemiring R] (r : R) : C r = algebraMap R R[T;T⁻¹] r := rfl set_option linter.uppercaseLean3 false in #align laurent_polynomial.C_eq_algebra_map LaurentPolynomial.C_eq_algebraMap theorem single_eq_C (r : R) : Finsupp.single 0 r = C r := rfl set_option linter.uppercaseLean3 false in #align laurent_polynomial.single_eq_C LaurentPolynomial.single_eq_C @[simp] lemma C_apply (t : R) (n : ℤ) : C t n = if n = 0 then t else 0 := by rw [← single_eq_C, Finsupp.single_apply]; aesop def T (n : ℤ) : R[T;T⁻¹] := Finsupp.single n 1 set_option linter.uppercaseLean3 false in #align laurent_polynomial.T LaurentPolynomial.T @[simp] lemma T_apply (m n : ℤ) : (T n : R[T;T⁻¹]) m = if n = m then 1 else 0 := Finsupp.single_apply @[simp] theorem T_zero : (T 0 : R[T;T⁻¹]) = 1 := rfl set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_zero LaurentPolynomial.T_zero theorem T_add (m n : ℤ) : (T (m + n) : R[T;T⁻¹]) = T m * T n := by -- Porting note: was `convert single_mul_single.symm` simp [T, single_mul_single] set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_add LaurentPolynomial.T_add theorem T_sub (m n : ℤ) : (T (m - n) : R[T;T⁻¹]) = T m * T (-n) := by rw [← T_add, sub_eq_add_neg] set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_sub LaurentPolynomial.T_sub @[simp] theorem T_pow (m : ℤ) (n : ℕ) : (T m ^ n : R[T;T⁻¹]) = T (n * m) := by rw [T, T, single_pow n, one_pow, nsmul_eq_mul] set_option linter.uppercaseLean3 false in #align laurent_polynomial.T_pow LaurentPolynomial.T_pow @[simp] theorem mul_T_assoc (f : R[T;T⁻¹]) (m n : ℤ) : f * T m * T n = f * T (m + n) := by simp [← T_add, mul_assoc] set_option linter.uppercaseLean3 false in #align laurent_polynomial.mul_T_assoc LaurentPolynomial.mul_T_assoc @[simp] theorem single_eq_C_mul_T (r : R) (n : ℤ) : (Finsupp.single n r : R[T;T⁻¹]) = (C r * T n : R[T;T⁻¹]) := by -- Porting note: was `convert single_mul_single.symm` simp [C, T, single_mul_single] set_option linter.uppercaseLean3 false in #align laurent_polynomial.single_eq_C_mul_T LaurentPolynomial.single_eq_C_mul_T -- This lemma locks in the right changes and is what Lean proved directly. -- The actual `simp`-normal form of a Laurent monomial is `C a * T n`, whenever it can be reached. @[simp] theorem _root_.Polynomial.toLaurent_C_mul_T (n : ℕ) (r : R) : (toLaurent (Polynomial.monomial n r) : R[T;T⁻¹]) = C r * T n := show Finsupp.mapDomain (↑) (monomial n r).toFinsupp = (C r * T n : R[T;T⁻¹]) by rw [toFinsupp_monomial, Finsupp.mapDomain_single, single_eq_C_mul_T] set_option linter.uppercaseLean3 false in #align polynomial.to_laurent_C_mul_T Polynomial.toLaurent_C_mul_T @[simp]
Mathlib/Algebra/Polynomial/Laurent.lean
227
229
theorem _root_.Polynomial.toLaurent_C (r : R) : toLaurent (Polynomial.C r) = C r := by
convert Polynomial.toLaurent_C_mul_T 0 r simp only [Int.ofNat_zero, T_zero, mul_one]